commit d37024964965f68bce2a9ad80e17b49debffdf86 Author: Anna Hiemenz Date: Tue May 26 21:46:46 2026 +0200 first version of EU AI Act game diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..f28239b --- /dev/null +++ b/.editorconfig @@ -0,0 +1,4 @@ +root = true + +[*] +charset = utf-8 diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..8ad74f7 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +# Normalize EOL for all files that Git considers text files. +* text=auto eol=lf diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..a56a938 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +# Godot 4+ specific ignores +.godot/ +/android/ +/builds/ diff --git a/Interact/dialogue/ai_v1.dialogue b/Interact/dialogue/ai_v1.dialogue new file mode 100644 index 0000000..cd60e09 --- /dev/null +++ b/Interact/dialogue/ai_v1.dialogue @@ -0,0 +1,3 @@ +~ start +Alien001: Ich finde es schwierig künstliche Intelligenz zu definieren. Die Menschen sind sich ja nichtmal einig was Intelligenz ist. +=> END diff --git a/Interact/dialogue/ai_v1.dialogue.import b/Interact/dialogue/ai_v1.dialogue.import new file mode 100644 index 0000000..7f7db83 --- /dev/null +++ b/Interact/dialogue/ai_v1.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://b2h462vvv1arj" +path="res://.godot/imported/ai_v1.dialogue-4e78d4db647f84f124dfdb74ad3bd37d.tres" + +[deps] + +source_file="res://Interact/dialogue/ai_v1.dialogue" +dest_files=["res://.godot/imported/ai_v1.dialogue-4e78d4db647f84f124dfdb74ad3bd37d.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/ai_v2.dialogue b/Interact/dialogue/ai_v2.dialogue new file mode 100644 index 0000000..2507543 --- /dev/null +++ b/Interact/dialogue/ai_v2.dialogue @@ -0,0 +1,3 @@ +~ start +Alien002: Künstliche Intelligenz lernt aus großen Datenmengen. Die Ergebnisse sind nicht deterministisch, also es kommt nie genau das gleiche raus, wenn ich einen Algorithmus zweimal lernen lasse. +=> END \ No newline at end of file diff --git a/Interact/dialogue/ai_v2.dialogue.import b/Interact/dialogue/ai_v2.dialogue.import new file mode 100644 index 0000000..08873b4 --- /dev/null +++ b/Interact/dialogue/ai_v2.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://c4na70ggougjl" +path="res://.godot/imported/ai_v2.dialogue-69c4f034ab6c67e19e7f6a6d84f5f49a.tres" + +[deps] + +source_file="res://Interact/dialogue/ai_v2.dialogue" +dest_files=["res://.godot/imported/ai_v2.dialogue-69c4f034ab6c67e19e7f6a6d84f5f49a.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/ai_v3.dialogue b/Interact/dialogue/ai_v3.dialogue new file mode 100644 index 0000000..d311dc2 --- /dev/null +++ b/Interact/dialogue/ai_v3.dialogue @@ -0,0 +1,3 @@ +~ start +Alien003: Modelle Künstlicher Intelligenz können komplexe Funktionen über sehr viele Parameter abbilden. Die Parameter werden aus Daten gelernt. +=> END \ No newline at end of file diff --git a/Interact/dialogue/ai_v3.dialogue.import b/Interact/dialogue/ai_v3.dialogue.import new file mode 100644 index 0000000..1dd704d --- /dev/null +++ b/Interact/dialogue/ai_v3.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://cn7jvs2bu4nb" +path="res://.godot/imported/ai_v3.dialogue-0ae1002d0f08a41f8d1fc8e385eda21c.tres" + +[deps] + +source_file="res://Interact/dialogue/ai_v3.dialogue" +dest_files=["res://.godot/imported/ai_v3.dialogue-0ae1002d0f08a41f8d1fc8e385eda21c.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/ai_v4.dialogue b/Interact/dialogue/ai_v4.dialogue new file mode 100644 index 0000000..7198444 --- /dev/null +++ b/Interact/dialogue/ai_v4.dialogue @@ -0,0 +1,4 @@ +~ start +Alien004: In der Stanford Enzyklopädie für Philosophie steht: Künstliche Intelligenz (KI) ist das Gebiet, das sich mit der Erschaffung künstlicher Tiere (oder zumindest künstlicher Lebewesen, die - in geeigneten Kontexten - wie Tiere erscheinen) und für viele auch künstlicher Personen (oder zumindest künstlicher Lebewesen, die - in geeigneten Kontexten - wie Personen erscheinen) befasst. +Ich glaube das heißt KI möchte Lebewesen erschaffen, die für Menschen nicht von natürlichen Lebewesen unterscheidbar sind. +=> END \ No newline at end of file diff --git a/Interact/dialogue/ai_v4.dialogue.import b/Interact/dialogue/ai_v4.dialogue.import new file mode 100644 index 0000000..29afc22 --- /dev/null +++ b/Interact/dialogue/ai_v4.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://cxvsdyvmpof6l" +path="res://.godot/imported/ai_v4.dialogue-ec0cff031c5a6e1d5aa6a982be47469c.tres" + +[deps] + +source_file="res://Interact/dialogue/ai_v4.dialogue" +dest_files=["res://.godot/imported/ai_v4.dialogue-ec0cff031c5a6e1d5aa6a982be47469c.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/ai_v5.dialogue b/Interact/dialogue/ai_v5.dialogue new file mode 100644 index 0000000..cc4f309 --- /dev/null +++ b/Interact/dialogue/ai_v5.dialogue @@ -0,0 +1,3 @@ +~ start +Alien005: Die Stanford 100 year study of AI sagt: Künstliche Intelligenz ist die Tätigkeit, die darauf abzielt, Maschinen intelligent zu machen, und Intelligenz ist die Eigenschaft, die es einem Wesen ermöglicht, in seiner Umgebung angemessen und vorausschauend zu handeln. +=> END \ No newline at end of file diff --git a/Interact/dialogue/ai_v5.dialogue.import b/Interact/dialogue/ai_v5.dialogue.import new file mode 100644 index 0000000..1b8f209 --- /dev/null +++ b/Interact/dialogue/ai_v5.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://dbfvvjpviigph" +path="res://.godot/imported/ai_v5.dialogue-4263e2699a3642dbb73368a75eae7f77.tres" + +[deps] + +source_file="res://Interact/dialogue/ai_v5.dialogue" +dest_files=["res://.godot/imported/ai_v5.dialogue-4263e2699a3642dbb73368a75eae7f77.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/albatross.dialogue b/Interact/dialogue/albatross.dialogue new file mode 100644 index 0000000..3c70323 --- /dev/null +++ b/Interact/dialogue/albatross.dialogue @@ -0,0 +1,3 @@ +~ start +Albatross: Guten Tag, mein Name ist Albatross. Ich bin eine Künstliche Intelligenz, die entwickelt wurde um dieses Raumschiff zu steuern. Da KI nur verantwortungsvoll genutzt werden kann, wenn Menschen sie verstehen, habe ich den Auftrag Sie zu Ihrer KI-Schulung zu fliegen. Nach der Landung kann ich Sie erst wieder reinlassen und zurück fliegen, wenn Sie genug gelernt haben. Starten wir nun diese Reise! ([Enter/Leertaste/Klicken]) +=> END \ No newline at end of file diff --git a/Interact/dialogue/albatross.dialogue.import b/Interact/dialogue/albatross.dialogue.import new file mode 100644 index 0000000..7f8df5a --- /dev/null +++ b/Interact/dialogue/albatross.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://dymr5ml8nrwwn" +path="res://.godot/imported/albatross.dialogue-dcdf88cc436c8c820fa60696096ed671.tres" + +[deps] + +source_file="res://Interact/dialogue/albatross.dialogue" +dest_files=["res://.godot/imported/albatross.dialogue-dcdf88cc436c8c820fa60696096ed671.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/contact_info.dialogue b/Interact/dialogue/contact_info.dialogue new file mode 100644 index 0000000..887ee45 --- /dev/null +++ b/Interact/dialogue/contact_info.dialogue @@ -0,0 +1,16 @@ +~ start +Hallo. Ich bin Datenschutzbeauftragter. Ich würde gerne ein paar Infos geben. +~ choice1 +Wozu soll ich etwas erzählen +- Verstöße melden / Whistleblowing + Wenn Sie etwas sehen /etwas melden wollen, bezogen auf folgenden [url=https://artificialintelligenceact.eu/de/recital/172/]Artikel[/url] bzw. [url=https://eur-lex.europa.eu/eli/dir/2019/1937/oj?locale=de]Richtlinie[/url] + => choice1 +- aktuelle Gerichtsverfahren + Link + => choice1 +- Kontaktinfo für weitere Fragen + Link + => choice1 +- Nichts weiter, ich hab alles schon gehört +Danke für Ihre Zeit. Viel Spaß beim weiteren Erkunden. +=> END \ No newline at end of file diff --git a/Interact/dialogue/contact_info.dialogue.import b/Interact/dialogue/contact_info.dialogue.import new file mode 100644 index 0000000..d584905 --- /dev/null +++ b/Interact/dialogue/contact_info.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://b6rryvfrnms7s" +path="res://.godot/imported/contact_info.dialogue-c325214c857c66f6efc47d0795aef430.tres" + +[deps] + +source_file="res://Interact/dialogue/contact_info.dialogue" +dest_files=["res://.godot/imported/contact_info.dialogue-c325214c857c66f6efc47d0795aef430.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/explain_ordering_game.dialogue b/Interact/dialogue/explain_ordering_game.dialogue new file mode 100644 index 0000000..792620a --- /dev/null +++ b/Interact/dialogue/explain_ordering_game.dialogue @@ -0,0 +1,49 @@ +~ start +#: Die EU hat eine Unterteilung der KI-Systeme in vier Risikostufen vorgenommen: Minimales, geringes, hohes und inakzeptables Risiko. +Der EU AI Act bewertet KI Systeme in vier Risikostufen, von minimalem bis zu inakzeptablem Risiko für Grundrechte und Sicherheit. +Je höher das Risiko, umso strenger die Regulierung. KI Systeme mit inakzeptablem Risiko sind verboten. +~ risklevels +if DialogueState.seen + => risklevels1 +else + set DialogueState.seen = true + => risklevels0 +~ ending +In der folgenden Aufgabe geht es darum, die eben gesammelten Batterien zu ihren passenden Generatoren zuzuordnen. Dadurch wird das Raumschiff geladen und kann wieder starten. \nDie Batterien befinden sich im Inventar, welches sich mit [c] öffnen (und auch wieder schließen) lässt. +Zum Zuordnen eine Batterie auswählen (über den Button) und anschließend zu den Generatoren transportieren und dort (mit [f]) wieder loslassen und einsetzen. \nJeder Generator steht für eine der vier Risikostufen. \nDie Batterien bilden je ein KI-System ab. +$> DialogueState.orderingGameFlag = true +=> END + +~ risklevels0 +Die vier Risikostufen: [speed=1]Lernen Sie nun die einzelnen Stufen genauer kennen. Eine der Stufen mit der Maus oder den Pfeiltasten auswählen und klicken/Enter/Leertaste drücken. +- Minimales Risiko + Minimales Risiko: Keine spezifischen Anforderungen. \nEin Beispiel für diese Kategorie wäre ein Schachcomputer. + => risklevels +- Geringes Risiko + Geringes Risiko: Informationspflicht über die Benutzung der KI. \nEin Beispiel für diese Kategorie wäre ein Programmierbot. + => risklevels +- Hohes Risiko + Hohes Risiko: Strenge Anforderungen an Transparenz, Dokumentation, Überwachung des Systems durch Menschen! \nEin Beispiel für diese Kategorie wäre ein KI-System, dass automatisch Arbeiten von Studierenden oder Schülern/Schülerinnen bewertet. + => risklevels +- Inakzeptables Risiko + Inakzeptables Risiko: KI ist verboten! \nEin Beispiel für diese Kategorie wäre der Einsatz eines KI-Systems, dass das Risiko, dass eine Person in Zukunft eine Straftat begeht, vorhersagt. + => risklevels +- Ich habe alles gelernt, beginne mit dem Spiel. + => ending + +~ risklevels1 +Die vier Risikostufen: [speed=-1]Lernen Sie nun die einzelnen Stufen genauer kennen. Eine der Stufen mit der Maus oder den Pfeiltasten auswählen und klicken/Enter/Leertaste drücken. Wenn Sie fertig sind, können Sie durch Wählen der untersten Option das Spiel fortsetzen. +- Minimales Risiko + Minimales Risiko: Keine spezifischen Anforderungen. \nEin Beispiel für diese Kategorie wäre ein Schachcomputer. + => risklevels +- Geringes Risiko + Geringes Risiko: Informationspflicht über die Benutzung der KI. \nEin Beispiel für diese Kategorie wäre ein Programmierbot. + => risklevels +- Hohes Risiko + Hohes Risiko: Strenge Anforderungen an Transparenz, Dokumentation, Überwachung des Systems durch Menschen! \nEin Beispiel für diese Kategorie wäre ein KI-System, dass automatisch Arbeiten von Studierenden oder Schülern/Schülerinnen bewertet. + => risklevels +- Inakzeptables Risiko + Inakzeptables Risiko: KI ist verboten! \nEin Beispiel für diese Kategorie wäre der Einsatz eines KI-Systems, dass das Risiko, dass eine Person in Zukunft eine Straftat begeht, vorhersagt. + => risklevels +- Ich habe alles gelernt, beginne mit dem Spiel. + => ending \ No newline at end of file diff --git a/Interact/dialogue/explain_ordering_game.dialogue.import b/Interact/dialogue/explain_ordering_game.dialogue.import new file mode 100644 index 0000000..6c71fdb --- /dev/null +++ b/Interact/dialogue/explain_ordering_game.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://spdio5o620nd" +path="res://.godot/imported/explain_ordering_game.dialogue-b81742c144ddbf5e5f5de01368b6e4ff.tres" + +[deps] + +source_file="res://Interact/dialogue/explain_ordering_game.dialogue" +dest_files=["res://.godot/imported/explain_ordering_game.dialogue-b81742c144ddbf5e5f5de01368b6e4ff.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/helper.dialogue b/Interact/dialogue/helper.dialogue new file mode 100644 index 0000000..0cbb943 --- /dev/null +++ b/Interact/dialogue/helper.dialogue @@ -0,0 +1,151 @@ +~ start +- bisher gelerntes nochmal ansehen + => recap +- Fragen zum EU AI Act stellen [if DialogueState.enableLLM] + $> openChatBot() +- Hilfe zum Spiel (Steuerung, aktuelle Aufabe, ...) + => help +- gesamter Text des EU AI Acts (öffnet Link im Browser) + $> openAIActinBrowser() +- gesamter Text der DSGVO (öffnet Link im Browser) + $> openDSGVOinBrowser() +- Musik an/aus + $> toggle_music() +- Schließen + => END +=> END + +~ recap +- Alien-Dialoge wiederholen + => AI +- Mögliche Anwendungen von KI [if DialogueState.batteriesFlag] + => applications +- Risikostufen [if DialogueState.orderingGameFlag] + => risks +- personenbezogene Daten [if DialogueState.personalDataFlag] + => personalData +- zurück + => start + +~ AI +- Alien001 [if DialogueState.alienFlags[1]] + Alien001: Ich finde es schwierig künstliche Intelligenz zu definieren. Die Menschen sind sich ja nichtmal einig was Intelligenz ist. + => AI +- Alien002 [if DialogueState.alienFlags[2]] + Alien002: Künstliche Intelligenz lernt aus großen Datenmengen. Die Ergebnisse sind nicht deterministisch, also es kommt nie genau das gleiche raus, wenn ich einen Algorithmus zweimal lernen lasse. + => AI +- Alien003 [if DialogueState.alienFlags[3]] + Alien003: Modelle Künstlicher Intelligenz können komplexe Funktionen über sehr viele Parameter abbilden. Die Parameter werden aus Daten gelernt. + => AI +- Alien004 [if DialogueState.alienFlags[4]] + Alien004: In der Stanford Enzyklopädie für Philosophie steht: Künstliche Intelligenz (KI) ist das Gebiet, das sich mit der Erschaffung künstlicher Tiere (oder zumindest künstlicher Lebewesen, die – in geeigneten Kontexten – wie Tiere erscheinen) und für viele auch künstlicher Personen (oder zumindest künstlicher Lebewesen, die – in geeigneten Kontexten – wie Personen erscheinen) befasst. + Ich glaube das heißt KI möchte Lebewesen erschaffen, die für Menschen nicht von natürlichen Lebewesen unterscheidbar sind. + => AI +- Alien005 [if DialogueState.alienFlags[5]] + Alien005: Die Stanford 100 year study of AI sagt: Künstliche Intelligenz ist die Tätigkeit, die darauf abzielt, Maschinen intelligent zu machen, und Intelligenz ist die Eigenschaft, die es einem Wesen ermöglicht, in seiner Umgebung angemessen und vorausschauend zu handeln. + => AI +- zurück + => recap + +~ applications +Helfer: Spamfilter, Diagnose von Krankheiten auf MRT-Bildern, Chatbots, biometrische Überwachung im öffentlichen Raum. +=> recap + +~ risks +Der EU AI Act bewertet KI Systeme in vier Risikostufen, von minimalem bis zu inakzeptablem Risiko für Grundrechte und Sicherheit. +Je höher das Risiko, umso strenger die Regulierung. KI Systeme mit inakzeptablem Risiko sind verboten. +~ risklevels +if DialogueState.seen + => risklevels1 +else + set DialogueState.seen = true + => risklevels0 + +~ risklevels0 +Die vier Risikostufen: [speed=1]Lernen Sie nun die einzelnen Stufen genauer kennen. Eine der Stufen mit der Maus oder den Pfeiltasten auswählen und klicken/Enter/Leertaste drücken. +- Minimales Risiko + Minimales Risiko: Keine spezifischen Anforderungen. \nEin Beispiel für diese Kategorie wäre ein Schachcomputer. + => risklevels +- Geringes Risiko + Geringes Risiko: Informationspflicht über die Benutzung der KI. \nEin Beispiel für diese Kategorie wäre ein Programmierbot. + => risklevels +- Hohes Risiko + Hohes Risiko: Strenge Anforderungen an Transparenz, Dokumentation, Überwachung des Systems durch Menschen! \nEin Beispiel für diese Kategorie wäre ein KI-System, dass automatisch Arbeiten von Studierenden oder Schülern/Schülerinnen bewertet. + => risklevels +- Inakzeptables Risiko + Inakzeptables Risiko: KI ist verboten! \nEin Beispiel für diese Kategorie wäre der Einsatz eines KI-Systems, dass das Risiko, dass eine Person in Zukunft eine Straftat begeht, vorhersagt. + => risklevels +- Zurück + => recap + +~ risklevels1 +Die vier Risikostufen: [speed=-1]Lernen Sie nun die einzelnen Stufen genauer kennen. +- Minimales Risiko + Minimales Risiko: Keine spezifischen Anforderungen. \nEin Beispiel für diese Kategorie wäre ein Schachcomputer. + => risklevels +- Geringes Risiko + Geringes Risiko: Informationspflicht über die Benutzung der KI. \nEin Beispiel für diese Kategorie wäre ein Programmierbot. + => risklevels +- Hohes Risiko + Hohes Risiko: Strenge Anforderungen an Transparenz, Dokumentation, Überwachung des Systems durch Menschen! \nEin Beispiel für diese Kategorie wäre ein KI-System, dass automatisch Arbeiten von Studierenden oder Schülern/Schülerinnen bewertet. + => risklevels +- Inakzeptables Risiko + Inakzeptables Risiko: KI ist verboten! \nEin Beispiel für diese Kategorie wäre der Einsatz eines KI-Systems, dass das Risiko, dass eine Person in Zukunft eine Straftat begeht, vorhersagt. + => risklevels +- Zurück + => recap + +~ personalData +: KI im Alltag: Wahrscheinlich sind die bisherigen Beispiele für Sie im Berufsalltag noch nicht relevant, sicher kennen Sie aber und vielleicht nutzen Sie auch schon sogenannte Sprachmodelle, die uns Fragen beantworten, Texte schreiben, übersetzen und vieles mehr. Beispiele hierfür sind ChatGPT oder Gemini. +: Erste wichtige Regel: Jegliche Eingabe von personenbezogenen Daten in kommerzielle Sprachmodelle ist verboten (laut Datenschutzgrundverordnung, hier ist nicht unbedingt der AI Act die Grundlage). Wollen Sie sich davor schützen, dass aus Ihren Anfragen von Firmen Rückschlüsse über Ihre eigene Person gezogen werden, nutzen sie am besten gar keine kommerziellen Modelle. +: Glücklicherweise bietet die Universität Greifswald eine Alternative. Das Rechenzentrum stellt uns eine ganze Reihe von Sprachmodellen zur Verfügung, die auf der Infrastruktur der Universität installiert sind und Daten nicht nach außen lassen. Ihre Anfragen sind damit so sicher wie Ihre Daten, die Sie in der Cloud der Universität speichern. https://open-webui.wolke.uni-greifswald.de +: Dürfen Sie hier jetzt persönliche Daten eingeben? Nein, nur mit Zustimmung der Person, von der die Daten stammen, und unter der Voraussetzung, dass die Person vollständig informiert ist und genau der Eingabe für diesen Zweck zugestimmt hat. +: Ein weiteres Problem mit Ki und Sprachmodellen ist Ihre Zuverlässigkeit. Seien Sie daher kritisch bei jeder Information, die Ihnen ein Modell liefert und prüfen Sie nach. Nutzen Sie z.B. nicht ungelesen Texte für Emails oder ungeprüfte Informationen für Vorträge. +: Was sind denn eigentlich personenbezogene Daten? +: Alle Informationen, die Sie in ein KI System eingeben, sind Daten. Personenbezogene Daten können Menschen direkt oder indirekt (durch Zusammenführung verschiedener Daten) identifizieren. +: Direkt identifizierende Daten sind z.B. Name, Adresse, Personalausweisnummer. Indirekt identifizierende Informationen sind z.B. Geburtsdatum, Geschlecht, Standortdaten, Online-Kennungen (IP-Adresse, Cookie-ID), biometrische Daten (Gesichtserkennung, Fingerabdruck), Gesundheitsdaten, finanzielle Informationen, politische Meinungen, religiöse Überzeugung. +=> recap + +~ help +- Steuerung + => controls +- aktuelle Aufgabe + => task +- zurück + => start + +~ controls +- Bewegen + Verwenden Sie die Pfeiltasten oder w,a,s,d zum Bewegen. Mit der Leertaste können Sie springen. + => controls +- Werfen + Mit [r] schalten Sie zwischen Kamera- und Wurfmodus um. Im Wurfmodus können Sie jederzeit Bälle werfen. Durch Bewegen der Mause können Sie zielen (Sie sollten ein Fadenkreuz sehen) und klicken zum Werfen. + => controls +- Objekte aufheben + Um Objekte aufzuheben nutzen Sie die Taste [e]. Mit [q] können sie wieder abgelegt werden. + => controls +- Reden + Um mit Personen zu reden, drücken Sie [Enter] oder [t]. Personen sind ansprechbar, wenn unten links eine Aufforderung zum Reden steht. + => controls +- Kamera + Mit [r] schalten Sie zwischen Kamera- und Wurfmodus um. Im Kameramodus können Sie durch Bewegen der Maus die Kamera steueren, durch scrollen kann gezoomt werden. + => controls +- zurück + => help + +~ task +if DialogueState.currentTask == 1 + Sprechen Sie mit den Aliens, um verschiedene Definitionen von Künstlicher Intelligenz (KI) kennenzulernen. + Zur Erinnerung: Start einer Unterhaltung mit [t] oder Enter. +elif DialogueState.currentTask == 2 + Laufen Sie weiter zur Wurfzone. Dort angekommen, können Sie die Ballons abwerfen, um zu entdecken, in was für Systemen KI bereits eingesetzt wird bzw. werden kann. Sammeln Sie danach die Batterien, Sie werden sie im weiteren Verlauf benötigen. + Zur Erinnerung: Werfen mit [r] und Zielen mit der Maus (Fadenkreuz). +elif DialogueState.currentTask == 3 + In der folgenden Aufgabe geht es darum, die eben gesammelten Batterien zu ihren passenden Generatoren zuzuordnen. Dadurch wird das Raumschiff geladen und kann wieder starten. \nDie Batterien befinden sich im Inventar, welches sich mit [c] öffnen (und auch wieder schließen) lässt. Zum Zuordnen eine Batterie auswählen (über den Button) und anschließend zu den Generatoren transportieren und dort (mit [f]) wieder loslassen und einsetzen. \nJeder Generator steht für eine der vier Risikostufen. \nDie Batterien bilden je ein KI-System ab. +elif DialogueState.currentTask == 4 + Um in das Raumschiff zu gelangen, müssen Sie gleich als Passscode einmal alle personenbezogenen Daten auf dem Keypad auswählen. Zum Starten dieses Spiels, drücken Sie [k]. +elif DialogueState.currentTask == 5 + Beantworten Sie die unten stehen Fragen, indem Sie sich auf das Feld stellen, dass zur richtigen Antwortmöglichkeit gehört. Bei richtiger Antwort öffnet sich die Tür und Sie glangen zur nächsten Frage. +else + Lernen Sie die Steuerung kennen. +=> help \ No newline at end of file diff --git a/Interact/dialogue/helper.dialogue.import b/Interact/dialogue/helper.dialogue.import new file mode 100644 index 0000000..00c4c34 --- /dev/null +++ b/Interact/dialogue/helper.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://hgucelgyfur8" +path="res://.godot/imported/helper.dialogue-975cb2132aae6dc031189c2dc64ba6f2.tres" + +[deps] + +source_file="res://Interact/dialogue/helper.dialogue" +dest_files=["res://.godot/imported/helper.dialogue-975cb2132aae6dc031189c2dc64ba6f2.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/helper_intro.dialogue b/Interact/dialogue/helper_intro.dialogue new file mode 100644 index 0000000..b465a22 --- /dev/null +++ b/Interact/dialogue/helper_intro.dialogue @@ -0,0 +1,9 @@ +~ start +Helfer: Hallo! Ich bin Ihr Helfer. Ich werde Sie ab jetzt auf Ihrer Reise auf diesem Planeten begleiten, und bei Fragen zu Verfügung stehen. +Helfer: Ich kann helfen, wenn Fragen zum Spiel aufkommen, sei es zur genauen Steuerung oder was genau die aktuelle Aufgabe ist. +Ebenso habe ich den gesamten Text des EU AI Acts und der Datenschutzgrundverordnung zum Nachschlagen parat, zusätzlich können Sie eigene Fragen zu diesen Texten stellen, die ich dann versuchen werde zu beantworten. +Dazu einfach [h] drücken und die passende Option auswählen. Das geht jederzeit, solange gerade kein anderer Dialog offen ist. +Um zurück zum Raumschiff zu gelangen und dieses Starten zu können und im Anschluss zurück auf die Erde zu fliegen, müssen vier Aufgaben bewältigt werden. Jede wird vorher genau erklärt. +Oben stehen auch für die Dauer einer jeden Aufgabe nochmal Hinweise zur Steuerung bzw. was gerade gemacht werden soll. +Los geht's, laufen Sie einfach weiter und schon werden Sie zur ersten Aufgabe gelangen! Viel Erfolg und Vergnügen +=> END \ No newline at end of file diff --git a/Interact/dialogue/helper_intro.dialogue.import b/Interact/dialogue/helper_intro.dialogue.import new file mode 100644 index 0000000..75a547a --- /dev/null +++ b/Interact/dialogue/helper_intro.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://1d2xytpsi48g" +path="res://.godot/imported/helper_intro.dialogue-98c22aaeb901141124fe1bd2e65f8a75.tres" + +[deps] + +source_file="res://Interact/dialogue/helper_intro.dialogue" +dest_files=["res://.godot/imported/helper_intro.dialogue-98c22aaeb901141124fe1bd2e65f8a75.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/intro.dialogue b/Interact/dialogue/intro.dialogue new file mode 100644 index 0000000..04fccef --- /dev/null +++ b/Interact/dialogue/intro.dialogue @@ -0,0 +1,12 @@ +~ start +Boss: Hallo! Vielen Dank, dass du hier bist. +Boss: Deine Aufgabe ist es, den EU Ai Act besser zu verstehen. +Dafür senden wir dich auf den KI Planeten. +Boss: Dort wirst du lernen, was KI ist, in welchen Bereichen sie Anwendung findet, welche Einstufungen es gibt und vieles mehr. +Boss: Wenn du alle Aufgaben erledigt hast, kannst du zurück kommen. +- Starten der Reise + Boss: Viel Spaß auf der Reise! Wir sehen uns danach wieder. + #do start_game() +- Noch weiter hier bleiben + Nathan: Viel Spaß beim weiteren austesten der Steuerung. Wenn du bereit bist, klicke auf Button(?)/rede wieder mit mir. +=> END \ No newline at end of file diff --git a/Interact/dialogue/intro.dialogue.import b/Interact/dialogue/intro.dialogue.import new file mode 100644 index 0000000..12e231c --- /dev/null +++ b/Interact/dialogue/intro.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://ceggtwxykkruk" +path="res://.godot/imported/intro.dialogue-1940e447437ebcd241285d5c310663d8.tres" + +[deps] + +source_file="res://Interact/dialogue/intro.dialogue" +dest_files=["res://.godot/imported/intro.dialogue-1940e447437ebcd241285d5c310663d8.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/keypad.dialogue b/Interact/dialogue/keypad.dialogue new file mode 100644 index 0000000..eeb0103 --- /dev/null +++ b/Interact/dialogue/keypad.dialogue @@ -0,0 +1,11 @@ +~ start +: KI im Alltag: Wahrscheinlich sind die bisherigen Beispiele für Sie im Berufsalltag noch nicht relevant, sicher kennen Sie aber und vielleicht nutzen Sie auch schon sogenannte Sprachmodelle, die uns Fragen beantworten, Texte schreiben, übersetzen und vieles mehr. Beispiele hierfür sind ChatGPT oder Gemini. +: Erste wichtige Regel: Jegliche Eingabe von personenbezogenen Daten in kommerzielle Sprachmodelle ist verboten (laut Datenschutzgrundverordnung, hier ist nicht unbedingt der AI Act die Grundlage). Wollen Sie sich davor schützen, dass aus Ihren Anfragen von Firmen Rückschlüsse über Ihre eigene Person gezogen werden, nutzen sie am besten gar keine kommerziellen Modelle. +: Glücklicherweise bietet die Universität Greifswald eine Alternative. Das Rechenzentrum stellt uns eine ganze Reihe von Sprachmodellen zur Verfügung, die auf der Infrastruktur der Universität installiert sind und Daten nicht nach außen lassen. Ihre Anfragen sind damit so sicher wie Ihre Daten, die Sie in der Cloud der Universität speichern. https://open-webui.wolke.uni-greifswald.de +: Dürfen Sie hier jetzt persönliche Daten eingeben? Nein, nur mit Zustimmung der Person, von der die Daten stammen, und unter der Voraussetzung, dass die Person vollständig informiert ist und genau der Eingabe für diesen Zweck zugestimmt hat. +: Ein weiteres Problem mit Ki und Sprachmodellen ist Ihre Zuverlässigkeit. Seien Sie daher kritisch bei jeder Information, die Ihnen ein Modell liefert und prüfen Sie nach. Nutzen Sie z.B. nicht ungelesen Texte für Emails oder ungeprüfte Informationen für Vorträge. +: Was sind denn eigentlich personenbezogene Daten? +: Alle Informationen, die Sie in ein KI System eingeben, sind Daten. Personenbezogene Daten können Menschen direkt oder indirekt (durch Zusammenführung verschiedener Daten) identifizieren. +: Direkt identifizierende Daten sind z.B. Name, Adresse, Personalausweisnummer. Indirekt identifizierende Informationen sind z.B. Geburtsdatum, Geschlecht, Standortdaten, Online-Kennungen (IP-Adresse, Cookie-ID), biometrische Daten (Gesichtserkennung, Fingerabdruck), Gesundheitsdaten, finanzielle Informationen, politische Meinungen, religiöse Überzeugung. +: Um in das Raumschiff zu gelangen, müssen Sie gleich als Passscode einmal alle personenbezogenen Daten auf dem Keypad auswählen. Zum Starten dieses Spiels, drücken Sie [k]. +=> END \ No newline at end of file diff --git a/Interact/dialogue/keypad.dialogue.import b/Interact/dialogue/keypad.dialogue.import new file mode 100644 index 0000000..305eae2 --- /dev/null +++ b/Interact/dialogue/keypad.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://422gtlkpxmtw" +path="res://.godot/imported/keypad.dialogue-c744440593d3a9d1c29c7f394118c4e8.tres" + +[deps] + +source_file="res://Interact/dialogue/keypad.dialogue" +dest_files=["res://.godot/imported/keypad.dialogue-c744440593d3a9d1c29c7f394118c4e8.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/quiz_explainer.dialogue b/Interact/dialogue/quiz_explainer.dialogue new file mode 100644 index 0000000..6879bd3 --- /dev/null +++ b/Interact/dialogue/quiz_explainer.dialogue @@ -0,0 +1,4 @@ +~ start +Albatross: Willkommen zurück! Ich hoffe, Sie konnten einiges lernen, sowohl über KI im allgemeinen als auch speziell den EU AI Act. Bevor ich Sie zurück zur Erde fliegen kann, muss ich dieses Wissen allerdings einmal überprüfen. +Albatross: Dazu werde ich Ihnen 3 Fragen stellen. Vor Ihnen auf dem Boden befinden sich Antwortplatten. Wählen Sie die zur Frage richtige Antwort aus, und stellen Sie sich auf die zugehörige Platform. Wurde richtig geantwortet, wird sich die Tür öffen und Sie gelangen zur nächsten Frage. Bei einer falschen Antwort denken Sie nochmal genau nach und wählen dann eine andere Antwort-Platform. Nach Abschluss des Quizzes können wir gemeinsam zur Erde zurückfliegen. Viel Erfolg! +=> END \ No newline at end of file diff --git a/Interact/dialogue/quiz_explainer.dialogue.import b/Interact/dialogue/quiz_explainer.dialogue.import new file mode 100644 index 0000000..deb3650 --- /dev/null +++ b/Interact/dialogue/quiz_explainer.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://dexh1me00ucuv" +path="res://.godot/imported/quiz_explainer.dialogue-934071fe1bb9e7f5a1c32122aef57883.tres" + +[deps] + +source_file="res://Interact/dialogue/quiz_explainer.dialogue" +dest_files=["res://.godot/imported/quiz_explainer.dialogue-934071fe1bb9e7f5a1c32122aef57883.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/simple_dialogue.dialogue b/Interact/dialogue/simple_dialogue.dialogue new file mode 100644 index 0000000..7a80a77 --- /dev/null +++ b/Interact/dialogue/simple_dialogue.dialogue @@ -0,0 +1,11 @@ +~ start +Nathan: [[Hi|Hello|Howdy]], this is some dialogue. +Nathan: Here are some choices. +- First one + Nathan: You picked the first one. +- Second one + Nathan: You picked the second one. +- Start again => start +- End the conversation => END +Nathan: For more information see the online documentation. +=> END \ No newline at end of file diff --git a/Interact/dialogue/simple_dialogue.dialogue.import b/Interact/dialogue/simple_dialogue.dialogue.import new file mode 100644 index 0000000..42a6bb1 --- /dev/null +++ b/Interact/dialogue/simple_dialogue.dialogue.import @@ -0,0 +1,16 @@ +[remap] + +importer="dialogue_manager" +importer_version=15 +type="Resource" +uid="uid://i8r2tswoq8jr" +path="res://.godot/imported/simple_dialogue.dialogue-9d41adbbc7f018180f49d1afdc6a1bdb.tres" + +[deps] + +source_file="res://Interact/dialogue/simple_dialogue.dialogue" +dest_files=["res://.godot/imported/simple_dialogue.dialogue-9d41adbbc7f018180f49d1afdc6a1bdb.tres"] + +[params] + +defaults=true diff --git a/Interact/dialogue/text_to_speech.gd b/Interact/dialogue/text_to_speech.gd new file mode 100644 index 0000000..546cd3d --- /dev/null +++ b/Interact/dialogue/text_to_speech.gd @@ -0,0 +1,28 @@ +extends Node + +var voice_id + +func _ready(): + var voices = DisplayServer.tts_get_voices_for_language("de") + if voices.size() > 0: + voice_id = "German+Robosoft6" + else: + voices = DisplayServer.tts_get_voices_for_language("en") + voice_id = voices[0] + + # Connect with DialogueManager + DialogueManager.got_dialogue.connect(_on_dialogue) + + +func _on_dialogue(line): + if voice_id == null: + return + + # Stop earlier text (important!) + DisplayServer.tts_stop() + + # Speak + DisplayServer.tts_speak(line.text, voice_id, 100) + +func _stop_dialogue(): + DisplayServer.tts_stop() diff --git a/Interact/dialogue/text_to_speech.gd.uid b/Interact/dialogue/text_to_speech.gd.uid new file mode 100644 index 0000000..0cd75ac --- /dev/null +++ b/Interact/dialogue/text_to_speech.gd.uid @@ -0,0 +1 @@ +uid://d0coari0ccmvy diff --git a/Interact/grabbable_object.gd b/Interact/grabbable_object.gd new file mode 100644 index 0000000..e996b5a --- /dev/null +++ b/Interact/grabbable_object.gd @@ -0,0 +1,95 @@ +extends RigidBody3D + +class_name Grabbable_Object + +@export var grabbable: bool = true +var is_grabbed: bool = false +var original_parent: Node = null +@export var grab_offset: Vector3 = Vector3(0.0, 0.0, -1.0) +@export var drop_forward_offset: float = 1.0 +@export var weight: float = 5.0 + +@export var max_linear_speed: float = 15.0 +@export var max_angular_speed: float = 10.0 + +func _integrate_forces(state: PhysicsDirectBodyState3D) -> void: + # Limit linear speed + if state.linear_velocity.length() > max_linear_speed: + state.linear_velocity = state.linear_velocity.normalized() * max_linear_speed + + # Limit speed of rotation (optional) + if state.angular_velocity.length() > max_angular_speed: + state.angular_velocity = state.angular_velocity.normalized() * max_angular_speed + +func grab(player: Node3D): + if not grabbable or is_grabbed or player.grabbed_item: + return + is_grabbed = true + original_parent = get_parent() + + # Disable physics + gravity_scale = 0.0 + linear_velocity = Vector3.ZERO + angular_velocity = Vector3.ZERO + freeze = true + $CollisionShape3D.disabled = true + + # Reparent under player + var current_transform = global_transform + get_parent().remove_child(self) + player.add_child(self) + player.grabbed_item = self + print(player.grabbed_item) + global_transform = current_transform + + # Move above player's head + position = grab_offset + rotation = Vector3(0,0,0) + +func can_drop(player: Node3D) -> bool: + var space_state = get_world_3d().direct_space_state + + var start = player.global_position + Vector3(0, 2, 0) + var forward_dir = -player.global_transform.basis.z.normalized() + var end = start + forward_dir * drop_forward_offset + + var query = PhysicsRayQueryParameters3D.create(start, end) + query.exclude = [player] + + var result = space_state.intersect_ray(query) + + return result.is_empty() + +func release(player: Node3D, throw := false): + if not is_grabbed or not can_drop(player): + return + is_grabbed = false + + # Re-enable physics + $CollisionShape3D.disabled = false + freeze = false + gravity_scale = 1.0 + + # Reparent back to world + var current_transform = global_transform + get_parent().remove_child(self) + original_parent.add_child(self) + global_transform = current_transform + + # Place in front of player + var forward_dir = -player.global_transform.basis.z.normalized() + + var player_velocity = player.velocity if player is CharacterBody3D else Vector3.ZERO + var throw_dir = Vector3(0,2.0,0) + forward_dir + (player_velocity * 0.25) + + global_position = player.global_position + Vector3(0, 1.5, 0) + forward_dir * drop_forward_offset + + # Give it a small push forward (optional) + if throw: + apply_impulse(throw_dir * 0.01) + else: + apply_impulse(forward_dir * 0.001) + player.grabbed_item = null + +func get_weight(): + return weight diff --git a/Interact/grabbable_object.gd.uid b/Interact/grabbable_object.gd.uid new file mode 100644 index 0000000..cdf0bd5 --- /dev/null +++ b/Interact/grabbable_object.gd.uid @@ -0,0 +1 @@ +uid://b8c8vph26uu41 diff --git a/Interact/interact_ray.gd b/Interact/interact_ray.gd new file mode 100644 index 0000000..360a296 --- /dev/null +++ b/Interact/interact_ray.gd @@ -0,0 +1,66 @@ +extends ShapeCast3D + +@export var prompt = Label +@onready var bob: CharacterBody3D = $".." +@onready var env: Node3D = $"../.." +var current_collider +signal grabbed + +# Called when the node enters the scene tree for the first time. +func _ready() -> void: + prompt = $Prompt + prompt.text = "" + DialogueManager.dialogue_ended.connect(_on_dialogue_ended) + +# Called every frame. 'delta' is the elapsed time since the previous frame. +func _process(delta: float) -> void: + if is_colliding(): + var collider = get_collider(0) + + if collider is NPC_interactable: + collider.turn_to_face_interacter(self.get_parent_node_3d()) + + if collider is Grabbable_Object: + if collider is Battery: + prompt.text = collider.battery_label + if collider.grabbable == true and Input.is_action_just_pressed("grab"): + grab(collider) + bob.play_sound('pickup') + + + elif (collider is BatteryBox2) and bob.grabbed_item is Battery and Input.is_action_just_pressed("insert"): + if collider.current_power <= 0: + bob.grabbed_item.insert_into_station(collider) + bob.grabbed_item = null # battery is now in the box + + elif (collider is BatteryBox2) and bob.grabbed_item == null and collider.battery_obj != null and Input.is_action_just_pressed("grab"): + var battery_obj = collider.remove_battery() + if battery_obj: + bob.grabbed_item = battery_obj + + + elif collider is Interactable_Object or collider is NPC_interactable: + prompt.text = collider.prompt_message + var thisTime = Time.get_unix_time_from_system() + var deltaTime = thisTime - DialogueState.time_since_dialoge_open + if collider.talkable == true and Input.is_action_just_pressed("talk") and (deltaTime > 0.5): + current_collider = collider + if DialogueState.is_dialogue_open == false: + DialogueState.is_dialogue_open = true + DialogueManager.show_chosen_dialogue_balloon(load(collider.dialogue), collider.game_balloon, "start", [collider]) + env.quiet_down_music() + prompt.hide() + elif bob.grabbed_item and bob.grabbed_item is Battery: + prompt.text = bob.grabbed_item.battery_label + else: + prompt.text = "" + +func _on_dialogue_ended(_resource: DialogueResource) -> void: + prompt.show() + if current_collider and current_collider is NPC_interactable: + current_collider.dialogue_ended() + env.reset_music_volume() + +func grab(collider) -> void: + collider.grab(bob) + grabbed.emit() diff --git a/Interact/interact_ray.gd.uid b/Interact/interact_ray.gd.uid new file mode 100644 index 0000000..7ac831a --- /dev/null +++ b/Interact/interact_ray.gd.uid @@ -0,0 +1 @@ +uid://b03ucj5svnuh8 diff --git a/Interact/interact_ray.tscn b/Interact/interact_ray.tscn new file mode 100644 index 0000000..86d0cf8 --- /dev/null +++ b/Interact/interact_ray.tscn @@ -0,0 +1,26 @@ +[gd_scene load_steps=3 format=3 uid="uid://dy1tmm44vfmh"] + +[ext_resource type="Script" uid="uid://b03ucj5svnuh8" path="res://Interact/interact_ray.gd" id="1_jmrxg"] + +[sub_resource type="CylinderShape3D" id="CylinderShape3D_jmrxg"] + +[node name="ShapeCast3D" type="ShapeCast3D"] +transform = Transform3D(1.17, 0, 0, 0, -5.1142322e-08, -1.17, 0, 1.17, -5.1142322e-08, 0, 0, 0) +shape = SubResource("CylinderShape3D_jmrxg") +collision_mask = 13 +script = ExtResource("1_jmrxg") + +[node name="Prompt" type="Label" parent="."] +offset_left = 4.0 +offset_top = 999.0 +offset_right = 250.0 +offset_bottom = 1052.0 +size_flags_horizontal = 3 +theme_override_constants/outline_size = 4 +theme_override_font_sizes/font_size = 32 +text = "Prompt" +horizontal_alignment = 1 + +[node name="InteractRay" type="RayCast3D" parent="."] +target_position = Vector3(0, 0, -4) +collision_mask = 13 diff --git a/Interact/interactable.gd b/Interact/interactable.gd new file mode 100644 index 0000000..5035c94 --- /dev/null +++ b/Interact/interactable.gd @@ -0,0 +1,5 @@ +extends CollisionObject3D + +class_name Interactable + +@export var prompt_message = "Interact" diff --git a/Interact/interactable.gd.uid b/Interact/interactable.gd.uid new file mode 100644 index 0000000..a483b2e --- /dev/null +++ b/Interact/interactable.gd.uid @@ -0,0 +1 @@ +uid://dbofb08cmdfec diff --git a/Interact/interactable_object.gd b/Interact/interactable_object.gd new file mode 100644 index 0000000..e82d29d --- /dev/null +++ b/Interact/interactable_object.gd @@ -0,0 +1,8 @@ +extends Node3D + +class_name Interactable_Object + +@export var prompt_message = "Interact" +@export var dialogue = "" +@export var talkable = false +@export var game_balloon = "/game_balloons/game_balloon_v_2.tscn" diff --git a/Interact/interactable_object.gd.uid b/Interact/interactable_object.gd.uid new file mode 100644 index 0000000..1bc4ae7 --- /dev/null +++ b/Interact/interactable_object.gd.uid @@ -0,0 +1 @@ +uid://chgm8q8icmkn3 diff --git a/README.md b/README.md new file mode 100644 index 0000000..32a43c4 --- /dev/null +++ b/README.md @@ -0,0 +1,33 @@ +# GAIM: spielerisches EU AI Act Training + +Dieses Spiel ist verfügbar unter Lizenz GNU GPLv3 + +Zum Installieren: Repository klonen, in Godot öffnen und abspielen + +Zum Entwickeln wurde Godot v4.5.1 verwendet + +Bitte schreiben Sie ihr eigenes Impressum und Datenschutzerklärung, diese sind aktuell leer. + + +## für das Sprachmodell +Für eine online-Variante die URL (API_URL) in der addons/godot_llama/demo/demo_wasm.gd-Datei entsprechend setzen. +Bei einer lokalen offline-Version muss das Skript addons/godot_llama/demo/demo.gd in der Chatbot Instanz im Player gesetzt werden (anstelle des demo_wasm.gd-Skripts) und ein heruntergeladenes Sprachmodell (z.B. von Huggingface) einen Ordner namens 'models' (auf gleicher Ebene wie das Spiel) gepackt werden. +Als Kontext werden dem Modell die einzelnen Kapitel des EU AI Acts als markdown-Dateien mitgegeben. Soll das Spiel exportiert werden, müssen diese in den Exporteinstellungen als Ressources ergänzt werden. + + + +*english version:* +# GAIM: A Fun EU AI Act Training Game + +This game is available under the GNU GPLv3 license + +To install: Clone the repository, open it in Godot, and press play. + +Godot v4.5.1 was used for development. + +Please write your own legal notice and privacy policy; these are currently empty. + +## For the language model +For an online version, set the URL (API_URL) accordingly in the addons/godot_llama/demo/demo_wasm.gd file. +For a local offline version, the script addons/godot_llama/demo/demo.gd must be placed in the chatbot instance in the Player (instead of the demo_wasm.gd script), and a downloaded language model (e.g., from Huggingface) must be placed in a folder named ‘models’ (at the same level as the game). +For exporting the game, *.md-files need to be added as resources in the export-settings, as the chepters of the EU AI Act are given to the model in this format. diff --git a/Resources/Objects/alien.tscn b/Resources/Objects/alien.tscn new file mode 100644 index 0000000..1f81d6d --- /dev/null +++ b/Resources/Objects/alien.tscn @@ -0,0 +1,345 @@ +[gd_scene load_steps=25 format=4 uid="uid://d1qsdekc02clx"] + +[ext_resource type="Script" uid="uid://bivev0gbnbo5t" path="res://npc.gd" id="1_t61ag"] +[ext_resource type="PackedScene" uid="uid://ctx8osel3k43n" path="res://check_collision_wall.tscn" id="2_0lt3b"] +[ext_resource type="PackedScene" uid="uid://bhihpqj7er21q" path="res://check_collision_npc.tscn" id="3_yq1vu"] +[ext_resource type="FontFile" uid="uid://bejv1w0k1r7wi" path="res://assets/Fonts/FrancoisOne-Regular.ttf" id="4_0lt3b"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_vqqdx"] +resource_name = "led.001" +cull_mode = 2 +albedo_color = Color(0.32573533, 0.9413131, 0.84879184, 1) +roughness = 0.42156863 +emission_enabled = true +emission = Color(0, 0.84313726, 0.07450981, 1) +emission_energy_multiplier = 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"), 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"), 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CPwFmAkMBQwFmAmUCPwHGAGYCxgBnAmYCxgADAGcCSAJnAgMAZgJnAlABZgJQAWUCSAJoAmcCaAJQAWcCxQBoAkgCSgLFAEgCZQJQAWkCZQJpAmQCaAJfAFABXwBpAlABxQB+AWgCfgFfAGgCZAJpAh8AXwAfAGkCZAIfAH0BfgHEAF8AxAAfAF8AfQEfAGoCxABqAh8AfQFqAmMCYwJqAmsCYwJrAmICbAJqAsQAbAJrAmoCbQLEAH4BbQJsAsQAYgJrAl4AYgJeAMEAwQBeAGECwwBeAGsCwwBrAmwCbgJhAl4AbgJeAMMAbwJhAm4CbwIJAGECfwEJAG8CFQDDAGwCFQBsAm0CcAJuAsMAcALDABUAgAFvAm4CgAFuAnACMAB/AW8CMABvAoABgQF/ATAAWAFwAhUAcQKAAXACcQJwAlgBcgIwAIABcgKAAXECcwKBATAAcwIwAHICdAKBAXMCqwCBAXQCbQGrAHQCbQF0AqoAqgB0AnUCdAJzAnUCqgB1AmYBggFzAnICdQJzAoIBZgF1AqgAdQKCAagAZgGoAB4AggFyAqcApwByAnECqACCAQEAAQCCAacAHgCoAKYAqAABAKYAHgCmAF4BYAEeAF4BYAFeAV0BpwBxAnYCdgJxAlgBAQCnAHcCdwKnAHYCXQFeAVwBeAIBAHcCpgABAHgCXQFcAakAXgGmAHkCpgB4AnkCXgF5AlwBqQBcATYAqQA2AB8BHwE2AKIAXAF6AjYAXAF5AnoCNgB7AqIANgB6AnsCogB7AikBeQJaAXoCeQJ4AloBegJ8AnsCegJaAXwCewISACkBewJ8AhIAKQESAE8CWgF4AlsBfAJaAWAAfAJgABIAWgFbAWAAeAJ3AlsBEgB9Ak8CEgBgAH0CTwJ9Ak0CWwF3An4CYABbAVkBYABZAX0CWwF+AlkBdwJ2An4CfQJWAU0CfQJZAVYBTQJWAUsCfgJ2An8CWQF+AjEAWQExAFYBfgJ/AjEAdgJYAX8CVgFXAUsCVgExAFcBSwJXAWEAfwJYAYACWAEVAIACgAIVAG0CMQB/AoECfwKAAoECMQCBAlcBgAJtAoICgQKAAoICggJtAn4BggJ+AcUAgQKCAoMCVwGBAoMCgwKCAsUAVwGDAmEAgwLFAEoCYQCDAkoCbACKAYQChAKKAYsBbACJAYoBGwBsAIQCiQGFAooBjAGJAWwAhgJsABsAhgKMAWwAGwCEAocChgKIAowBGwCJAoYChgKJAogCGwCRAYkChwKRARsAhwKEAooChAKLAYoChwKLApEBhwKKAowCjAKLAocCigKLAY0CjAKKAtEAigKNAtEAiwGOAY0CjALRAG4AjAKOAosCbgCOAowCjgJ0AIsCbgDRAI8C0QCNApAC0QCQAo8CjQJvAJACjQKOAW8AjwKQAo8BkAJvAJECkAKRAo8BjgGSAm8AbwCTApECbwCSApMCjwGRApQCkQKTApIBkQKSAZQCkgJwAJMCkwKVApIBkwJwAJUClAKSAZQBkgGVAvYAkgH2AJQBcACWApUClQKXAvYAlQKWApcC9gBGAJQBlwL3APYA9gD3AEYAlgK1AZcClwKYAvcAtQGYApcC9wCzAUYAmAL4APcA9wD4ALMBmAK3AfgAtQGZApgCmQK3AZgClgJxALUBmgKZArUBcQCaArUBxAFxAJYCcADEAZYCcQAMAJoCmwLEAXAAkgKbAnAAxAHSAHEA0gAMAHEAmwKcAsQBnALSAMQBnQKbApICjgGdApICngKcApsCnQKeApsCOQCdAo4BiwE5AI4BigE5AIsBigGFAjkAOQCfAp0CnwKeAp0ChQKfAjkAngI6AJwCnwKNAZ4CjQE6AJ4CoAKNAZ8ChQKgAp8CjQGhAjoAogKgAoUCiQGiAoUCoAKjAo0BowKhAo0BogJtAKACbQCjAqACpAKiAokBjAGkAokBzwBtAKICpALPAKICjAGlAqQCjAGIAqUCpALQAM8ApAKlAtAAzwDHAW0AbQCmAqMCxwGmAm0ApgLFAaMCowLFAaECzwDQADgAzwA4AMcB0ADLATgAxwGnAqYCpgIHAMUBpwIHAKYCxwE4AKgCxwGoAqcCOADQAagCOADLAdAB0ADZAMsBpQLZANAApQLNAdkAiALNAaUC2QDPAcsBiALKAc0BiQLKAYgCzQHOAdkA2QDOAc8BygEEAM0BzQEEAM4BiQJ1AMoBkQF1AIkCygHMAQQAdQDMAcoBkQGkAXUAiwKkAZEBdQCnAcwBpAGnAXUAiwJ0AKQBpAGlAacBdAClAaQBpwGIAMwBzAHVAQQAzAGIANUBpwHgAIgApQHgAKcBBADVAdoABADaAM4BiADXAdUB4ADfAIgAiADfANcBzgHaANEBzgHRAc8B1QE7ANoA1QHXATsA2gDWAdEB2gA7ANYBzwHRAdMB0QHWAdQB0QHUAdMBzwHTAYYAywHPAYYAywGGANABhgDTAYcA0wHUAdsA0wHbAIcAhgCHANIB0AGGANIB0AHSAdcAqALQAdcA0gGHAEAAqALXAKkCpwKoAqkC1wDSAdgA0gFAANgAqQLXAOEB1wDYAOEBpwKpAsgBpwLIAQcAqQLhAdUAyAGpAtUA4QHYAOAByAHGAQcA1QDhASMA4QHgASMAyAHVAKoCyAGqAsYB1QAjAKsCqgLVAKsCqgKrAqwCBwDGAa0CBwCtAsUBqgKuAsYBqgKsAq4CxgHUAK0CxgGuAtQAxQGtAq8CxQGvAqECrQLUALACrQKwAq8CrAKxAq4CrAKrArECrgKyAtQArgKxArIC1ADWALAC1ACyAtYAqwLJAbECqwIjAMkBsQLkAbICsQLJAeQBsgKCANYAsgLkAYIAIwDiAckBIwDgAeIByQFBAOQByQHiAUEA5AHmAYIA5AFBAOYB1gCCAPABggDmAeoBggDqAfAB1gDwAQoBsALWAAoBsAIKAXMArwKwAnMACgHwAfEBrwJzANMAoQKvAtMAoQLTADoAcwAKAbMCCgHxAbMC0wBzALQCcwCzArQCOgDTALUC0wC0ArUCOgC1ApwCnAK1AtIAtQK2AtIAtQK0ArYC0gC2AgwAtAKzArcCtAK3ArYCswJ/ALcCswLxAX8AtgK3AgsBtgILAQwAtwJ/AMMBtwLDAQsB8QHvAX8ADAALAbgCDAC4ApoCmgK4ApkCCwF9ALgCCwHDAX0AuAK4AZkCuAJ9ALgBmQK4AbcBfwDyAcMBfwDvAfIBwwHCAX0AwwHyAcIBfQDAAbgBfQDCAcABuAEZALcBuAHAARkAtwEZALYBtwG2AfgAwAG+ARkAwgF+AMABwAF+AL4BwgH8AH4A8gH8AMIB+AC2AbQB+AC0AbMBGQD5ALYBGQC+AfkAtgG5AbQBtgH5ALkB8gEkAPwA7wEkAPIBJADzAfwA7wGAACQA+QC7AbkBQgCAAO8B8QFCAO8B8AFCAPEB8AHqAUIAQgDtAYAA6gHtAUIAgADuASQAJADuAfMB7QEGAYAAgAAGAe4B6gHoAe0B5gHoAeoB7QHrAQYB6AHrAe0B5gEIAegBQQAIAeYB6AHnAesBCAHnAegBQQCDAAgB4gGDAEEACAEcAOcBgwAcAAgB4gEJAYMA4AEJAeIBgwDjARwACQHjAYMA4AHdAAkB2ADdAOAB2ABAAN0A3QAHAQkBCQEHAeMBQADeAd0A3QDeAQcBQADcAd4BhwDcAUAAhwDbANwB3AGFAN4B3gHfAQcB3gGFAN8B3AHcAIUA2wDcANwBBwHfAQUBBwEFAeMB2wDbAdwA1AHbAdsA3AC5AoUA1AHaAdsB1gHaAdQB2wG6AtwA3AC6ArkC2gG7AtsB2wG7AroC1gHeANoBOwDeANYBugK8ArkC3gCKANoB2gGKALsCOwDZAd4A1wHZATsA3gDjAIoA2QHjAN4A1wGJANkB3wCJANcB2QG9AuMAiQC9AtkB4wC+AooAvQImAOMA4wAmAL4CigC+At0BigDdAbsCuwLdAb8CuwK/AroCugK/ArwCvwLAArwCuQK8AsAC3QECAr8CvwICAsACvgKMAN0B3QGMAAICvgLBAowAJgDBAr4CuQLAAuQAhQC5AuQAhQDkAN8B5ADAAgYAAgIGAMAC3wHkAMIC5AAGAMIC3wHCAgUBAgLDAgYAjADDAgICwgIGAMQCwwLEAgYABQHCAsUCwgLEAsUCBQHFAuUB4wEFAeUB4wHlARwAjAD/AcMCwQL/AYwAwwLGAsQC/wHGAsMCHADlAYQAHACEAOcB5QEDAYQA5QHFAgMBxQLEAgMCxgIDAsQCxQIDAgMB5wGEAOkB5wHpAesBhAADAQQBhAAEAekBAwEDAkMAAwFDAAQBxgKRAAMCkQBDAAMCxwKRAMYC/wHHAsYCkQDIAkMAyQLHAv8BwQLJAv8BxwLKApEAygLIApEAyQKOAMcCjgDKAscCAQLJAsECJgABAsECywKOAMkCAQLLAskCzAIBAiYAvQLMAiYAzQLLAgECzALNAgECzgLMAr0CiQDOAr0CzwLNAswCzgLPAswC2AHOAokA3wDYAYkA4gDPAs4C2AHiAM4CqAHYAd8A4ACoAd8A4QDiANgBqAHhANgBGACoAeAApQEYAOAApgHhAKgBGACmAagBowEYAKUBdACjAaUBdwCmARgAowF3ABgAogGjAXQAjgKiAXQAdgB3AKMBogF2AKMB8gCiAY4CbgDyAI4ClgF2AKIB8gCWAaIB0ALyAG4AbgCPAtAC8wCWAfIA0ALzAPIA0AKPAtECjwKPAdECcgDzANAC0ALRAnIA0QKPASIAjwGUAiIAcgDRApAB0QIiAJABIgCUAtIClAKUAdICkAEiAJMBIgDSApMBlAHTAtIClAFGANMC0gLUApMB0gLTAtQCRgCxAdMCRgCzAbEB0wL1ANQC0wKxAfUAswF6ALEBswG0AXoAsQGwAfUAsQF6ALABtAGyAXoAtAG5AbIBegAoALABegCyASgAuQG6AbIBsgH6ACg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") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_iu447") + +[sub_resource type="BoxShape3D" id="BoxShape3D_3c2fg"] +size = Vector3(0.775, 1.3776855, 0.625) + +[sub_resource type="BoxShape3D" id="BoxShape3D_6v0hg"] + +[sub_resource type="Animation" id="Animation_0lt3b"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("CollisionShape3D:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(-0.024642944, -0.31237602, -0.08962953)] +} + +[sub_resource type="Animation" id="Animation_t61ag"] +resource_name = "idle" +length = 4.0 +loop_mode = 1 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("CollisionShape3D:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(-6.6, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4), +"transitions": PackedFloat32Array(1, 1, 1, 1, 1, 1, 1, 1, 1, 1), +"update": 0, +"values": [Vector3(-0.024642944, 0.05894783, -0.08962953), Vector3(-0.024642944, -0.31237602, -0.08962953), Vector3(-0.024642944, 0.07943559, -0.08962953), Vector3(-0.024642944, -0.31237602, -0.08962953), Vector3(-0.024642944, 0.07943559, -0.08962953), Vector3(-0.024642944, -0.31237602, -0.08962953), Vector3(-0.024642944, 0.07943559, -0.08962953), Vector3(-0.024642944, -0.31237602, -0.08962953), Vector3(-0.024642944, 0.07943559, -0.08962953), Vector3(-0.024642944, -0.31237602, -0.08962953)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_yq1vu"] +_data = { +&"RESET": SubResource("Animation_0lt3b"), +&"idle": SubResource("Animation_t61ag") +} + +[node name="Alien" type="CharacterBody3D"] +collision_layer = 8 +collision_mask = 3 +script = ExtResource("1_t61ag") + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] + +[node name="Cube_076" type="MeshInstance3D" parent="MeshInstance3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.062768936, -0.12709707, -0.1317079) +mesh = SubResource("ArrayMesh_t61ag") +skeleton = NodePath("") + +[node name="Cylinder_032" type="MeshInstance3D" parent="MeshInstance3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.012439251, 0.19253027, -0.14279604) +mesh = SubResource("ArrayMesh_0lt3b") +skeleton = NodePath("") + +[node name="Cylinder_035" type="MeshInstance3D" parent="MeshInstance3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.012439251, 0.19253027, -0.14279604) +mesh = SubResource("ArrayMesh_yq1vu") +skeleton = NodePath("") + +[node name="Plane_035" type="MeshInstance3D" parent="MeshInstance3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.011998653, -0.07356274, 0.07891297) +mesh = SubResource("ArrayMesh_cc7q7") +skeleton = NodePath("") + +[node name="Plane_036" type="MeshInstance3D" parent="MeshInstance3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.013932705, -0.05916339, 0.08327937) +mesh = SubResource("ArrayMesh_veodw") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.024642944, -0.31237602, -0.08962953) +shape = SubResource("BoxShape3D_3c2fg") + +[node name="RayCast3D" parent="." instance=ExtResource("2_0lt3b")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.5198798, 0) + +[node name="InteractionChecker" type="Area3D" parent="."] +collision_layer = 0 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="InteractionChecker"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.0029633045, 0) +shape = SubResource("BoxShape3D_6v0hg") + +[node name="RayCast3D2" parent="." instance=ExtResource("3_yq1vu")] + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_yq1vu") +} +autoplay = "idle" + +[node name="Label3D" type="Label3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.7864695, -0.07333246) +billboard = 1 +text = "Interagieren +(t / Enter)" +font = ExtResource("4_0lt3b") +outline_size = 4 +width = 80.0 + +[connection signal="body_entered" from="InteractionChecker" to="." method="_on_interaction_checker_body_entered"] +[connection signal="body_exited" from="InteractionChecker" to="." method="_on_interaction_checker_body_exited"] diff --git a/Resources/Objects/arrow.tscn b/Resources/Objects/arrow.tscn new file mode 100644 index 0000000..aa8db43 --- /dev/null +++ b/Resources/Objects/arrow.tscn @@ -0,0 +1,18 @@ +[gd_scene load_steps=3 format=3 uid="uid://bpjqsditshpyd"] + +[ext_resource type="ArrayMesh" uid="uid://dka5ewv6regyf" path="res://Resources/meshes/arrow.tres" id="1_vl03t"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_vl03t"] +size = Vector3(1.8034668, 0.13964844, 1.7332764) + +[node name="Arrow" type="StaticBody3D"] +collision_layer = 4 +collision_mask = 15 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(0.44, 0, 0, 0, 0.057506055, 0, 0, 0, 0.44, 0, 0, 0) +mesh = ExtResource("1_vl03t") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.42590332, 0.0043945313, 0.36663818) +shape = SubResource("BoxShape3D_vl03t") diff --git a/Resources/Objects/balloon.gd b/Resources/Objects/balloon.gd new file mode 100644 index 0000000..5986b82 --- /dev/null +++ b/Resources/Objects/balloon.gd @@ -0,0 +1,76 @@ +extends StaticBody3D +class_name Balloon + +@export var pop_up_text = "" +@export var wait_time = 4.0 +@export var image_path = "res://assets/Images/spiel_ballon_text2.png" +@onready var label_3d: Label3D = $Label3D +@onready var balloon_model: MeshInstance3D = $Balloon_model +@onready var collision_shape_3d: CollisionShape3D = $CollisionShape3D +@onready var area_3d: Area3D = $Area3D +signal balloon_popped + +func _ready() -> void: + for child in get_children(): + if child is RigidBody3D: + child.freeze = true + child.gravity_scale = 0.0 + $label.texture = load(image_path) + +func _on_area_3d_body_entered(body: Node3D) -> void: + if not body.is_in_group("throwable"): + return + $AudioStreamPlayer.play() + balloon_popped.emit() + # hide balloon, animation, make label visible + balloon_model.visible = false + $AnimationPlayer.play("pop") + collision_shape_3d.call_deferred("queue_free") + area_3d.call_deferred("queue_free") + label_3d.text = pop_up_text + label_3d.visible = true + + # --- let objects hanging from balloons fall --- + for child in get_children(): + print(child.name) + if child is not RigidBody3D and child is not Area3D: + print(child) + continue # Label und Ballon ignorieren + var global_tf = child.global_transform + + remove_child(child) + get_tree().current_scene.add_child(child) # zurück zur Welt + child.global_transform = global_tf + if child is Area3D and child.name.contains('Battery'): + print('battery falling') + print(child.position) + child.position.y = child.position.y - child.new_y_diff + print(child.position) + child.set_picture() + + # if RigidBody3D: activate physics again + if child is RigidBody3D: + child.freeze = false + child.gravity_scale = 1.0 + + # start coroutine for delay + fade out + await fade_and_destroy() + +func fade_and_destroy() -> void: + # wait 10 seconds + await get_tree().create_timer(wait_time).timeout + + # create tween and play it + var tween = create_tween() + tween.tween_property($label, "modulate:a", 0.0, 0.5) # 2 Sekunden FadeOut + + # wait til tween is finished + await tween.finished + + # delete node + queue_free() + + +func _on_animation_player_animation_finished(anim_name: StringName) -> void: + if anim_name == 'pop': + $popped_balloon.visible = false diff --git a/Resources/Objects/balloon.gd.uid b/Resources/Objects/balloon.gd.uid new file mode 100644 index 0000000..4277bab --- /dev/null +++ b/Resources/Objects/balloon.gd.uid @@ -0,0 +1 @@ +uid://dgai8blbmru22 diff --git a/Resources/Objects/balloon.tscn b/Resources/Objects/balloon.tscn new file mode 100644 index 0000000..ed1531c --- /dev/null +++ b/Resources/Objects/balloon.tscn @@ -0,0 +1,446 @@ +[gd_scene load_steps=19 format=4 uid="uid://colupirc5jxy7"] + +[ext_resource type="Script" uid="uid://dgai8blbmru22" path="res://Resources/Objects/balloon.gd" id="1_kycbf"] +[ext_resource type="Texture2D" uid="uid://b70wpkqkrnks4" path="res://assets/Images/spiel_ballon_3.png" id="2_4meyi"] +[ext_resource type="Texture2D" uid="uid://4sr4fo2idlvn" path="res://assets/Images/spiel_ballon_surveillance2.png" id="3_7vdem"] +[ext_resource type="Texture2D" uid="uid://bbojksnmwoxes" path="res://assets/Images/spiel_ballon_p1.png" id="4_rp5dl"] +[ext_resource type="Texture2D" uid="uid://mmx4afem7tye" path="res://assets/Images/spiel_ballon_p2.png" id="5_8mg71"] +[ext_resource type="Texture2D" uid="uid://ct5b3wrvwla8p" path="res://assets/Images/spiel_ballon_p3.png" id="6_dfr8s"] 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SubResource("StandardMaterial3D_0yxht"), +"name": "antenna", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 48, +"vertex_data": PackedByteArray("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") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_8mfrs") + +[sub_resource type="Animation" id="Animation_4meyi"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("label:visible") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("popped_balloon:position") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0.77100897, 0.743)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("pop3:visible") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/3/type = "value" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("pop3:position") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} +tracks/4/type = "value" +tracks/4/imported = false +tracks/4/enabled = true +tracks/4/path = NodePath("pop3:scale") +tracks/4/interp = 1 +tracks/4/loop_wrap = true +tracks/4/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.5, 0.5, 0.5)] +} +tracks/5/type = "value" +tracks/5/imported = false +tracks/5/enabled = true +tracks/5/path = NodePath("pop2:scale") +tracks/5/interp = 1 +tracks/5/loop_wrap = true +tracks/5/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.7, 0.7, 0.7)] +} +tracks/6/type = "value" +tracks/6/imported = false +tracks/6/enabled = true +tracks/6/path = NodePath("pop2:position") +tracks/6/interp = 1 +tracks/6/loop_wrap = true +tracks/6/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} +tracks/7/type = "value" +tracks/7/imported = false +tracks/7/enabled = true +tracks/7/path = NodePath("pop2:visible") +tracks/7/interp = 1 +tracks/7/loop_wrap = true +tracks/7/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/8/type = "value" +tracks/8/imported = false +tracks/8/enabled = true +tracks/8/path = NodePath("pop1:visible") +tracks/8/interp = 1 +tracks/8/loop_wrap = true +tracks/8/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/9/type = "value" +tracks/9/imported = false +tracks/9/enabled = true +tracks/9/path = NodePath("pop1:scale") +tracks/9/interp = 1 +tracks/9/loop_wrap = true +tracks/9/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.6, 0.6, 0.6)] +} +tracks/10/type = "value" +tracks/10/imported = false +tracks/10/enabled = true +tracks/10/path = NodePath("pop1:position") +tracks/10/interp = 1 +tracks/10/loop_wrap = true +tracks/10/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} + +[sub_resource type="Animation" id="Animation_230ot"] +resource_name = "pop" +length = 0.5 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("label:visible") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [true] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("popped_balloon:position") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 0.77100897, 0.743), Vector3(0, 0.771, -4)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("pop3:visible") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 1, +"values": [true, false] +} +tracks/3/type = "value" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("pop3:position") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 0, 0), Vector3(11.399154, 6.696482, 0)] +} +tracks/4/type = "value" +tracks/4/imported = false +tracks/4/enabled = true +tracks/4/path = NodePath("pop3:scale") +tracks/4/interp = 1 +tracks/4/loop_wrap = true +tracks/4/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.5, 0.5, 0.5)] +} +tracks/5/type = "value" +tracks/5/imported = false +tracks/5/enabled = true +tracks/5/path = NodePath("pop2:scale") +tracks/5/interp = 1 +tracks/5/loop_wrap = true +tracks/5/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0.7, 0.7, 0.7), Vector3(0.7, 0.7, 0.7)] +} +tracks/6/type = "value" +tracks/6/imported = false +tracks/6/enabled = true +tracks/6/path = NodePath("pop2:position") +tracks/6/interp = 1 +tracks/6/loop_wrap = true +tracks/6/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 0, 0), Vector3(-17.826107, -6.204644, 0)] +} +tracks/7/type = "value" +tracks/7/imported = false +tracks/7/enabled = true +tracks/7/path = NodePath("pop2:visible") +tracks/7/interp = 1 +tracks/7/loop_wrap = true +tracks/7/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 1, +"values": [true, false] +} +tracks/8/type = "value" +tracks/8/imported = false +tracks/8/enabled = true +tracks/8/path = NodePath("pop1:visible") +tracks/8/interp = 1 +tracks/8/loop_wrap = true +tracks/8/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 1, +"values": [true, false] +} +tracks/9/type = "value" +tracks/9/imported = false +tracks/9/enabled = true +tracks/9/path = NodePath("pop1:scale") +tracks/9/interp = 1 +tracks/9/loop_wrap = true +tracks/9/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.6, 0.6, 0.6)] +} +tracks/10/type = "value" +tracks/10/imported = false +tracks/10/enabled = true +tracks/10/path = NodePath("pop1:position") +tracks/10/interp = 1 +tracks/10/loop_wrap = true +tracks/10/keys = { +"times": PackedFloat32Array(0, 0.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 0, 0), Vector3(13.0934925, -4.6118565, 0)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_7vdem"] +_data = { +&"RESET": SubResource("Animation_4meyi"), +&"pop": SubResource("Animation_230ot") +} + +[node name="Balloon" type="StaticBody3D"] +collision_layer = 4 +script = ExtResource("1_kycbf") + +[node name="Area3D" type="Area3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.32942295, 0) +collision_layer = 33 +collision_mask = 33 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Area3D"] +shape = SubResource("CapsuleShape3D_l0yg6") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.26077312, 0) +shape = SubResource("CapsuleShape3D_kycbf") + +[node name="Label3D" type="Label3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.65, 0) +visible = false +text = "This is an Example text" +font_size = 128 +outline_size = 24 +autowrap_mode = 2 +width = 900.0 + +[node name="Balloon_model" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 1.2636728, -2.2909837, 0) +mesh = SubResource("ArrayMesh_kycbf") +skeleton = NodePath("") + +[node name="Cylinder_049" type="MeshInstance3D" parent="Balloon_model"] +transform = Transform3D(0.4, 0, 0, 0, 0.4, 0, 0, 0, 0.4, -1.2689295, 1.4113965, 0.014619827) +mesh = SubResource("ArrayMesh_230ot") +skeleton = NodePath("") + +[node name="popped_balloon" type="Sprite3D" parent="."] +transform = Transform3D(0.05, 0, 0, 0, 0.05, 0, 0, 0, 0.05, 0, 0.77100897, 0.743) +visible = false +texture = ExtResource("2_4meyi") + +[node name="label" type="Sprite3D" parent="."] +transform = Transform3D(0.3, 0, 0, 0, 0.3, 0, 0, 0, 0.3, 0, 0, 0.743) +visible = false +texture = ExtResource("3_7vdem") + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_7vdem") +} + +[node name="pop1" type="Sprite3D" parent="."] +transform = Transform3D(0.6, 0, 0, 0, 0.6, 0, 0, 0, 0.6, 0, 0, 0) +visible = false +texture = ExtResource("4_rp5dl") + +[node name="pop2" type="Sprite3D" parent="."] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, 0, 0, 0) +visible = false +texture = ExtResource("5_8mg71") + +[node name="pop3" type="Sprite3D" parent="."] +transform = Transform3D(0.5, 0, 0, 0, 0.5, 0, 0, 0, 0.5, 0, 0, 0) +visible = false +texture = ExtResource("6_dfr8s") + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("7_nipok") +volume_db = -5.0 + +[connection signal="body_entered" from="Area3D" to="." method="_on_area_3d_body_entered"] +[connection signal="animation_finished" from="AnimationPlayer" to="." method="_on_animation_player_animation_finished"] diff --git a/Resources/Objects/balloon_collectable.gd b/Resources/Objects/balloon_collectable.gd new file mode 100644 index 0000000..dfcb81a --- /dev/null +++ b/Resources/Objects/balloon_collectable.gd @@ -0,0 +1,16 @@ +extends Node3D + +@export var balloon_resource: String = "res://Resources/meshes/dog.tres" +signal balloon_chosen + +func _ready() -> void: + $Balloon_model.mesh = load(balloon_resource) + + +func _on_area_3d_body_entered(body: Node3D) -> void: + if not body.is_in_group("throwable") and not body is Player: + return + balloon_chosen.emit(balloon_resource) + +func set_mesh(mesh: String): + $Balloon_model.mesh = load(mesh) diff --git a/Resources/Objects/balloon_collectable.gd.uid b/Resources/Objects/balloon_collectable.gd.uid new file mode 100644 index 0000000..075a190 --- /dev/null +++ b/Resources/Objects/balloon_collectable.gd.uid @@ -0,0 +1 @@ +uid://cffy3itwwknc7 diff --git a/Resources/Objects/balloon_collectable.tscn b/Resources/Objects/balloon_collectable.tscn new file mode 100644 index 0000000..9efbf99 --- /dev/null +++ b/Resources/Objects/balloon_collectable.tscn @@ -0,0 +1,31 @@ +[gd_scene load_steps=5 format=3 uid="uid://ccdju064l1xg0"] + +[ext_resource type="Script" uid="uid://cffy3itwwknc7" path="res://Resources/Objects/balloon_collectable.gd" id="1_3uo3v"] +[ext_resource type="ArrayMesh" uid="uid://jlkdee0elxgj" path="res://Resources/meshes/dog.tres" id="1_lsomq"] +[ext_resource type="ArrayMesh" uid="uid://m3hcjcox5dkf" path="res://Resources/meshes/balloon_string_curved.tres" id="2_3uo3v"] + +[sub_resource type="CapsuleShape3D" id="CapsuleShape3D_l0yg6"] +radius = 0.8 + +[node name="Balloon" type="Node3D"] +script = ExtResource("1_3uo3v") + +[node name="Area3D" type="Area3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.32942295, 0) +collision_layer = 33 +collision_mask = 33 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Area3D"] +shape = SubResource("CapsuleShape3D_l0yg6") + +[node name="Balloon_model" type="MeshInstance3D" parent="."] +transform = Transform3D(1.5, 0, 0, 0, 1.5, 0, 0, 0, 1.5, 0, 0.28870273, 0) +mesh = ExtResource("1_lsomq") +skeleton = NodePath("") + +[node name="Cylinder_049" type="MeshInstance3D" parent="Balloon_model"] +transform = Transform3D(0.40000004, 0, 0, 0, 0.40000004, 0, 0, 0, 0.40000004, 0, -0.38572907, 0) +mesh = ExtResource("2_3uo3v") +skeleton = NodePath("") + +[connection signal="body_entered" from="Area3D" to="." method="_on_area_3d_body_entered"] diff --git a/Resources/Objects/battery.gd b/Resources/Objects/battery.gd new file mode 100644 index 0000000..9c9b0b3 --- /dev/null +++ b/Resources/Objects/battery.gd @@ -0,0 +1,51 @@ +extends Grabbable_Object +class_name Battery + +@export var stored_power: int = 50 +@export var battery_label: String +var connected_station: Node3D = null +var original_transform: Transform3D +var grabbed_parent +var lamp_color +@onready var battery_lamp_0: CSGSphere3D = $Battery/Battery_lamp_0 +@export var image_path: String = "res://assets/Images/EU_AI_Act_logo_main.png" + +func _ready() -> void: + lamp_color = battery_lamp_0.material.albedo_color + $Sprite3D.texture = load(image_path) + +func insert_into_station(station: Node3D): + if connected_station: + return + connected_station = station + grabbed_parent = get_parent() + original_transform = global_transform + + # put battery inot box + grabbed_parent.remove_child(self) + station.add_child(self) + self.visible = false + self.freeze = true + + if station.has_method("insert_battery"): + station.insert_battery(self) + +func remove_from_station(): + if not connected_station: + return null + + var station = connected_station + connected_station = null + + + # get battery back out + if original_parent: + station.remove_child(self) + grabbed_parent.add_child(self) + global_transform = original_transform + + self.visible = true + self.freeze = false + + return self + diff --git a/Resources/Objects/battery.gd.uid b/Resources/Objects/battery.gd.uid new file mode 100644 index 0000000..ec5cf7d --- /dev/null +++ b/Resources/Objects/battery.gd.uid @@ -0,0 +1 @@ +uid://buxph0fig58vk diff --git a/Resources/Objects/battery.tscn b/Resources/Objects/battery.tscn new file mode 100644 index 0000000..6455340 --- /dev/null +++ b/Resources/Objects/battery.tscn @@ -0,0 +1,522 @@ +[gd_scene load_steps=36 format=4 uid="uid://cjhhjxn28bjop"] + +[ext_resource type="Script" uid="uid://buxph0fig58vk" path="res://Resources/Objects/battery.gd" id="1_wfowm"] + +[sub_resource type="CapsuleShape3D" id="CapsuleShape3D_wfowm"] +radius = 0.31 +height = 1.31 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_wfowm"] +metallic = 1.0 +metallic_specular = 1.0 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_ff4so"] +metallic = 0.7 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_ib8po"] +metallic = 0.7 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_d172s"] +resource_name = "gold" +cull_mode = 2 +albedo_color = Color(0.5599798, 0.46687463, 0.24808455, 1) +metallic = 0.8496732 +roughness = 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GMmjaFxgNBgP/f/4lwiRzA2OXdScbMr0PjJksBRIfnQcxru4c4zNXEASynQu7JqwMasUyHJovORFUyFIWBipGEmzbTyUBLBkbBLIOCh8VmBtUyNEUMB12HGzb1SMDIt0lMa6MGBkGqSo6reIlYgCaJdPB2CDSELoEKz4bQdkKtwLNUcY9lw5LB6QohlVzD2cBMmgGO4EZfgBPZ61Rzh4oDSs+xMRNKgAA/3/3UNwpfgCvmK1RZDO3AjGuxj1FOboE08EbQfE6QAPKssKDkTYVDVrX/K8MPuwDjJlznQUxpgByZllqRCN5A/9/6J0TLkADNE3CgzQh5QZPZ7e1/i7lBq+Yt7XFL6oKMmiwy6AzqgrMl7DLYi6aC81RncgzMusO/3/f38Qzxw86rRzauyrWFNPBJt9kJ5MUMa5y50QqRhTMl7XsPS/YHlTILes6LVcfBLLw9QcxkxTNUXLnAj2zKoyZ0vp6PBkqBLJh9DU4NylUyKzpODQqKGzbr9pIMaosWtfs1eczJTNa13iqlzfTMjGuEOMtN7Y108HjvqQkJTNa13iqQhX9NmOXidjxMrk3Ma44wmUsajf/fwDa3C/yOa+YUa7SKcozMmgk6P4tGSr6TWH0ODORH3Jmb/wnQFcf+k3w9aI82B6qNy3r2Tj1GKQox9ghORcT7CLnw+k6+h2SJCnc+jU1DcATUYKbNqockhUUyeQzSwekKIZVQzeqCuwiP0CxMsYNpCgSKlAvog/ZEFBRzTB2HJIk1SPhIgQWXgRAZ9guCxvVCsyyWDJ7IaQoNyf1HlstpCgCUCQbJTOkKHiqqRyyKdUKG5eZJo8bMwIPZuYrzCXVCj2xNSvsIcATfMk5MLorvRr1w0UoNymqN6zpQTCFMSs+/toCKdMyzVEQ47oqCTkyaPjEyCu5N81ROMIgLbY1Kz7jvm8zJTOkKHiqYTxxOv9/B681K/I5T2dRrpUsWy2kKAJQ4jhILSs+OjszNtYuzVFhN8wzxy8yaE40Iy4wNzRNPHz1MoszT2dHSnkuyjlyZqWVWC33Nv9/FmLWJscvzJdONDcVqSo6reIlTwOLM6+YR0pUGoU2jJmLYpweWy1a1wJQCQowN8qyPHwgHBcTEt3nwxEgzRUl77mxniMVDVrX/K8QGjUNPuxRgmUeqgoS3T9AaxtoE2zqazhrIUYSbNtPJYweJxIz95mBViKkFCn1wU5fI4QYPuyCNqskdhxs29UjNSZKGaD7W5pRJuEey/3vmVcpZR8p9TJN2CjOKiXvrq6kMIkmKfW7ZXQs1yJB5R45jCpbLVrXAlDSMGTaKz7YIB/vONYjQNUrlfcV2mguZCzQ5+j1aC5sMJ/KxfkjQPwwp8ZE+ys+G0HnxKP4aC62QnvEyvuUOv9Uc8Wz+KQohlVbxBP+y09NUyzH4f36TQJrS8gF9w4j7oLawi7+D2b4g+PNqf7/fwmE/dJw+Ko3KJvfxTL1kiRFmi/CuPr6TWKc08oS/HJmc53NzuH1lDpjsSnHdvBoLm/CjMVU7yNAKdTi1CjrKz4m36zYd+toLprTu9x28Ggub8Lo5PHuvRpisJngMvWSJEWaK+Zl6L0a4MYh2wLxkhUUmhThBfcOI+6CjeYX7NUKQ5r13A70khV7avjhs/ikKIZVY+fb9L0a/lPA4qP4aC62QhboQO/VCuNoSd7o9WgubDBb6JbskhVrOJ3ebegzAtGAXtp658ATgjZd2wbmywg0TcrZxuIAAP9/k9eZ4NUKMk0c1x/dMwItf+bUJ929Gh45ddV12dUKu2Vz07XXywhlfiHSFdpoLmQsBNQW1Wgujz2C0JvWvRqcT/zRWtCSJLllas2K1JIV6mWg0IfODiMQfazLftGSFYOVa83ZzKQoeKpEyLHQvRoArNHL6cxoLki9xMaS214Evpiv0zDV2RCurkLPHeEzAu+Zldajz2guks9Ry7TmXgRbmpjZ9tiSFZPH4dDU15Ikr9rmzkTUQeX1w77XBOJs2yncNMoS3j7sfMnQz1TjbOoUySXMd+uW0ZrTm8VU79u/KdSrxxL8jJlznePU5/czsLWzddTW8tPBxMQe1XbwltFvwsff6fJa1/yvG+a4+gSyYpwO2i7+75n4g6rYcPhUyCibu+EF9/Dc7oKf6+H9BLICa5DjfPtUyI9rtugw+Gzbfmv07cr7asX/VFrto/iW0bZC1/fF+du//DAF/RL308EAJeTy6PWW0WwwiOsV2pbRZCxx0DjW27/VKz/Nx8sjQALPw815ztPB/toM18fL278Cz1TU6cyW0Ui9Qcajz5bRks8y2unMltFIvWXiwslqxf+qJslczWzbgJQtxLHQQeUArHfdXM1s24CUi+N+0Wzqg5Xg3YfO8NwQfeXjMtop9T2xvtRM1in1G5dJ2YbfM/fKshzRtdcz92V+z9mK1Gzq6mWy3qPSWtcCUKvkm9ZB5ZxPdN8W1ZbRjz1R5R/dy/0tfzvWFdqW0WQs7uRb2yXvRU6q29jeoPujZRrXOOJs6uo2UdrG4v7//38Q02/ky/0PZgjU+umg+0BnFdFt6Mv90YAD0EjxQeUJPObPQO8p9eNoFM7o9ZbRbDDYzaP4ltG2QgjK2/RB5f5TEcww+GzbfmsHxw70bOp7asnKBffw3O6CVsUC8WzqFJq2x+nyWtf8rw3CF+wp9UOaeMvx7kHlYrApxnbwltFvwpvASMorPuO+z9p5x8tPsaz72enMaC5IvTjl2cykKHiqc+s0xnJmpZXl2avH+k38lFTfEMpUyG+UcMiHzvDcEH0gxavHBLL8lN/No9Ja1wJQRMdex++ZBnwC0tTKBLKcY3LMq89qxZtOXckW1ZbRjz0hyOPG/3/1e4XXecmMmYtin9GlzTOwSUz0y7bS08E6O7bJONbbv9UrSMxexw9mBnyB3RDKqjdvlAvnh84OIxB9AfHUyvpNnGNy6BzNqjfWZOjtWtCSJLllXvOrz5Q6m05o8hbVaC6PPfn8ONYjQNUrmvqaJSs+2CCHLuklaC5kLFcuxikjQNUrRjMWCmgubDA1EjkGI0D8MIIEWwdoLrZCyQk0BJQ6/1TEEoIEqjePa3MXzgeSJH5rahIdAvpNAmteHNABD2b4gyonVQH/fwmExCyOB6o3KJtvHswKkiRFmhQXRgX6TWKc4CXsA3Jmc53sKh0KlDpjsQAjiA9oLm/C+CGqECNAKdTQNtYUKz4m3/A7hxRoLprTzTuID2gub8IlPw0RvRpisK45zAqSJEWaQTyZF70a4MZWN/wOkhUUmi04zgeSJH5r4DjnE9UKQ5pvNPALkhV7ahw1Iwu9Gv5TyzNbB2gutkLENb4Q1QrjaNQxFgpoLmwwljJoE5IVazjzLJEXMwLRgOQvhBjAE4I2ZCn4GcsINE3SKjgdAAD/f9csZR/VCjJNnCffIjMCLX+qKdcivRoeOSwiiSbVCrtlYCVJKMsIZX4TJuklaC5kLL0b6CpoLo89XhpjKb0anE9cIKQvkiS5ZZsbdCuSFeplKiGiMpIkgJRNHIAukhWDlfohTS+9GgCsVCIVM2guSL07HWwkXgS+mGUqzirZEK6uMifhHjMC75nLLVswaC6Sz3wnShleBFuaEDEIJ5IVk8dYLCookiSv2gwuNzQjQALPGioVM2guSL3OOjw2lDr/qu427jWqN2+UpzeiMpIkgJT5O1M4+k38lBQyoDgPZgZ83S0bOf9/9XtEKOIyqjfWZPs2pC+SJLll2zkqNfpNnGOEM4U2cmaLYkAuUzCUOptOqzboKmgujz0COMYpI0DVK84zxinbv9UrBgZILdPBOjsqBugqltGPPY8EWTIzsElMzRFTMGrFm060DSo1BLKcY30XpC9s27ll/AygOO+ZBnxXIlM4BLL8lJog7jVUyG+UHBmiMmzbgJS3ETw2asX/qpAdFTOW0Ui9dRw3NNu/As/IMIUx08H+2hY2WzCW0ZLPFzYVM5bRSL38OPodbNsp3IgqqhDbvynUZSmHFJbRmtMSJRcIM7C1s5UyKA3TwcTEczSID5bRb8K6Ox0KasVjse44RgUEsmKcHTXMCmzbRZoEPtAB75n4g/YxHQIEsgJrqTeCBFTIj2tkOs4HbNt+a3I8NARqxf9UmjpbB5bRtkLfOzkG27/8MHs57AjTwQAlrDQWCpbRbDBNNMYp27/VK5IK6SWW0WQsHxaID5bRb8KxGg0RQeVisC4fqhxs6hTJiCj8DmzqFJrDHswKbNtFmqoZ5xMp9UOa6yKRF8v90YCGJfALbOp7auEdzgds235r6Bi+ECn142iZIQQWoPtAZ6AkIwtB5f5TDB1bB5bRtkKRFxYKltFsMGIYtg5B5Qk8Th7GHWzq6jbNJ48by/0PZlIn6SWW0WQscyw4Hf///39TKCYhoPujZeEpoyQl70VOVyvoKpbRjz1IL2MpQeWcT94tdCts6uplQy+kL2zbuWV8Mt8iy/0tfwArSSgz92V+xC14IDP3yrJ7KrIpKfUblzMvgC5s6oOVdzKiMmzbgJT6NcwlKfU9sZAtTS9B5QCsBTS6K0Hl9cMoMuwhPux8yfQrrU/PXJszZjPrySPKA7OavLMUO840xB0VaBtMG1jgeeB37ow43eNXOCxA5O+zQzHizLcBu95SAlrTNQo2IK38pX/tYTSEUopBo8xtzE47U+fC5Kbk7w56xOkZIcVwwLMTcb06IXQflR/7TGRDjqo/qE9RY0pkz6PPf7DyslSp/qVBKVkwQ93pJ6y+/SHi2qLMWM+qzyYnsdfEJcnQlVQLUTlZuFd0sBOtvLaLuwHWzNVVQHTa/CxdzzAesdsf2dQhZ+QFNSLRkisNK0QrlktFWH9HQEtUvTXC00pTQGEoCi98Nuo2civEIoonUyceJOoj0ssMEsAPZdKB3rEAiAA74OvJt/cRz30pQ92fLbXTe9nmKO3bTjMS3LYkgdRaT9E/X0L9PUwwizDntFyytbiHtBBQ+FeOwxzMiPOVxTrwlC1X/6UfbCFv/ysVXM3VJ8XTvzfDEDk0FdUlIzPNQDCSMO825RPS2EEoOr8FHgFLr02qPgA8Wk8FU52wMcC9Q/1Fyqmht5Wr2a5uGKVNCLhiv04zKzXprwuoFyjlKZA3jA0wFas5ZSOP4iUV0fPy2aj4v/N4FbT4+trtOdjzx+E8JNz0MjV8NjbpPhuwzk8wRdmdHT/N8i6R1KvCIO9a8PfLVuR6yyHSYNJL5sTDrOBnsc7amC4czlwcdtDJJkvD6SJR1aAu7NJ4MN7bhTTp4VgzqeYuN5RP/0zVRhhG5syhym60tKdBssClNLWov5/BzsPEvH+7DNsc1EDTFMhC5Mm9NOq2svHLXep2yfbrwNiJ2EvKnfMQ59krB96fKeDk/C9LDKXqIgf9JJ7cfx3iJXYH2+oODBHGIAzP0Kgl49JJKS7HFSepN8AXTDS1GYwtyy2XMQY5zBw3TuQGuz4nC9HKLyXV1S0excwhGR/K+zCl1unTC8sfzV/Njdsvz966z8brwa/OpU32UIBDRkSITzpGv0OeP01B+zaBQGE4ZjApMEcrNTFNJZMraSvIJLs1oRSQrfem7DPAFYcbPkKgDUZMTTzeDLgCEDuYNUsTDBJIMRgZY9R8GjXSBzQsAtogsSAVAnUu/9nyC7/rERy8LaP7IPikzaDbzttNyCXpl/hYwe4mUt6g6l0yOTS84t835t/6P9vhBMm47UI5Q94bQofhqTvy3CUyzNc3KbnUwCUN0rW1XrfouB+6g61usMWrRLu7z70ivdoAKkLkKzFp1GkqksDkIhjNASoYyXIrueAzNr3eWLzgzBbgZsSYyPPFw8zO0vrXddai0iXZV9HGyhbn08sq5txEVDmSMtIylj2LMYVIJTYrJ08x7SsZNU2347ChsyGmKbIkrw6u27W+uQO4v799x3m/w8jkz6fPP+KDsoLNr8/e2C/T3tSnzn5MzE986O299daQz+bTpNMd2uTZstQc3X3IqfABx9D1SFHOWIVTRFWnUnVPLkq2SLvKfuyZvfD8O+6oztQxUuPUO2LdJcyr/Sw0+O1h3zjfDv6O0e/0LiN15N4TKdc4JJDJFxfkNWsIBEPrBxwkSiT9x5cfr8aUIWA1HBwkxIgiqto8LWzaei9Z5EEybtFyI2nhfSqpIuzXty+X17A9U92eLpbTVBs4zwUcNs9pJhLQ7TG/0ZwnlM6YHzfKohW7NH0ZSTx5IZpDW0MXOLM5ZTPYKBUpqy7xLscpVS+oMCcjFDNIHE4oWyu1B1oyLgQX1EYU/+MXTBRaFE2zWkFNl1qe1kPNhNjrzqBMClYtTiNXC0vLU/C+a8vOSABPXUblRyxL30bPTnxLkFCgTuZOVUGTSGY6zjy4Mzg4FzEZLtYt3jIoMG4sLCxkJ54sga5apWWzTLD2rvymcbC3rHWuNauwrJeqU7DIuW6sAbZ1qlqzobK6xS62VspjrAfAqi0pMDor/iq2KTMnRSoQKhExyByKKFcoJR0uMQAoKCf/LOYghjAKHIo39g6YM7IYA0OJAjEm+CX+F3AxQ8KvCPs1MAzSxqwVltUxInvW9RopC2gwOgcGywELvNy7GPzZhxsP7I8fItkAL17r1C634/fHbe/RQ+38+j2X72S8kPi22O/YTMoV5NPWENcP6ljLfP0ZPeX7/isa7DgtYORfLeffaS1p5GUwsefDM43xdLs065GyqO6UwjzfB8yL2ly8jNpkxVS8BciSzhPOQ8lpzpbV0dWp1N/UCdNC0/rQQdGm1HbV/NXV0GLX5dTr0grbaM5X4DnIp+z3OEHZ/zPU1hkqjNJ9NfzaJyFuz0Ilp9JcIHDSYh7W1NUof9V7IxfWgSxa19glP9jhKl7ZyC4Z2xkqYtoaM6behSOy2M0e2tXDCBlC3AxZOtQgvzi3H2lCxstgJVPQiSjCybgmx8a4JyTQQS36zQwuZtF2LFfUYC+n16My29MvKzTcYzNp1+0sFtm1MFrdGDI837gvlVSRRARNZjrLVhtIr0DCNMpT30nIVYVMu08tRiYp6zLPR7VAmU89U7lRp1TgUrRYqFGxW1FR0lrV18fQO9L40TDIus5pvEjAzbd6xcG0J7kTsOu58bCgtCqvfbHmtD2sKrMYqpexAKkasxul3CNUMTSzfqNo07PeSdiZ2MDJ8usr2OzVgdan2GzD9/cT1djUoNK4zxLK6Mhj0OG+Mt89x2LxwLOz3hfPwtQa27rXh9d/z/DjLM8Q4xnjvM62zBvnS+h6zh3Ey/Ir3Pfbwv3kxHjt3jCS+MY0D/WRz4bgCCdJ5wwmtj2T90jSQgT/0KwUN9F5HHLR5CDjy7IdrMC6HS68yQKxPMkMYDgjD1s3EBfpPDIR+SYyJ94yECBmDxI03RO70vslI/SBKf3kWSqa3SUwztxYNCXbuSpg2Ug2b9kdK/HWfT9g3WU50NjCNjDU9DIf1jooLs2sLRvUmyui1eojLsvXGerHdBhozMAhy8/2KQvSRSQB0sgmldQNH2fQghtw0tEOA8jBAh/DWhueNOsQgz29DaVEzhVSTRkqVCp/IBA0oSRETqw1eEEEO5w3VzbDMWklnToeMQ4y5iRyM6ss5CxEKY0tsybILh4rsCoCLSIouzVTGJAxrB9b4c0qc9zNKV/loC2N33ItjN4uME3WFiwA1pwtNttgK8DWOSss0jgqFsxaKQLY3ih81E0n3s4+J/bMByNTy2wkZ8kFJs+9Mx69TIxcTVCwW+FMPV3wTvRG6UdcPnkw6kBxJadMhSU/QrEcoU3+LNc3LyZtOFsVUk1fJY0waCk2KUoXGEIyEtlMjBseOX4h1TCkERZCaARxS2UIwsWREi3PgBpL0/UZEtN9H23Uyhoc0fohY9YMIIrTBxvnz0QkadWKIEXRfxuRzbYgM9DpG6TM/CSI06chCc+4KfTTcyhJ1tkt0tUXLa3W+yv31xoxs9inL7XZmTb+2Z00cdveM7TbOj5+3KJC6uDoOvLdc0G64Q86Md65QM7hmThj3kQ/AeIgOMremj514iUvP9r9MtfceCud2BA6YufwJwvXlC6Y3J0uTt/u4JMvMtVnJjDZXSvc1AApCcrTHQLAIQvdLugftjblEyQ9egerO0UFcjjRCg4zjRgOLXYiMjXtEkg3lg86LjQfuDJpGOs2rxG9MMAbEzJVGt+p8KVirkKk9K0XpA2s9rrursPDOkUU+iDx7DdB/HpCgPTdsoHoEjNY6PoymOgFvLLmJrL94nQxS+fRNFLiSDL45v01wNsJLlHeUTAt2EIswd0rMaDhezRS5kQ4VeGCNcvlJjko2kkv3d9jNuzc6TKi2QMwWtheMb/WgC0T1gkuXdL8Ky/ToyvDy+QqJc6mKenD+SfWv2kjv8fPJmvBzSLHyKwmWMLYIpzKtCY2xOIiz884KUjLZyYaxYoiv8K88ybIYugBxWb1J8g/8CbP9tzRy8/j8uJOvKTjtrHh37TEddyDsfzWJs0b1QvGp9TRvJbT2rLZ0w7UD9OazSbOD8dsyci+7rY0wQzRXtqMyt7oR8nZ68rQJd0MzZXjnsnm6RPPRuBoznPh/lIRWbBT7z8WV9VDUU1uPRdUPFr0VDdbwsz45ijPVuQkzbXnzMig7tLRv+AZ02/d2dan1qjKM+0myMXy/8xm51DR+t9YyCPx4cJs/BJAwfYrOUDqlzU54PY67d3HNNjZvTxJ3YYvL9lvNXnZnj5l3Tww6dZGN4DZVDhw2UdAD93nMXvWuTvx1tQvr9LeLHvUoCuR0LEqZ9FOKZzS8CZWz+Yl09DHI5bMuCIEzlEi8s58H83Ifxoux9Aer8p0GfTIeR6oy9EYT8vGHdnNJR26zukXUc09JX3R0yBi0J8oJ9NMFmPLLSzo1LQiU9L7H2TShwVRv9IN9EyQF/FDRR2kQ9oZxk0JIFA70CjsMt8rFSyvJZND5B99Ts0q+jm2LH0yhisgQyUviUzoRyg/j61hpqYsXSXBMjcdISyjJgUxoB8mL+QipjbHFcguuyUeNDocljX+FkE39RHhNzwTYjz/CJO66AMGwnkQVMaGGk7BFR2R3HonIfa2OIXmFi4C60jG5/fZvVT5jrQy7u29heTbxkPtLbPP2mDP49mMxwzgoL0D52myTNrIverXx7PXuvLAArGwvq+tK7qosWSi5bCIpM7lpixh4GUrLNrKJ9vfVCwZ5cMuqdt5KnvXmilc35gupOQuMfDaWiwc12kqJd+cL9HjDTPv3rAxQdr1Ld/NPyhz05AoKMKHJPXT6yekz6EmdMriJDe9nh4Axc0h4MWhIX2+Eh5K0CsmE8woJBnVlyakzMsjV8duIfm/8R0x0dgkzMf2IOXMXSHq1agl") 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void: + $AudioStreamPlayer.play() + await get_tree().create_timer(0.1).timeout + Global.batteries += 1 + battery_collected.emit() + queue_free() diff --git a/Resources/Objects/battery_2.gd.uid b/Resources/Objects/battery_2.gd.uid new file mode 100644 index 0000000..e4a5c42 --- /dev/null +++ b/Resources/Objects/battery_2.gd.uid @@ -0,0 +1 @@ +uid://blrm6oxhr4c5l diff --git a/Resources/Objects/battery_2.tscn b/Resources/Objects/battery_2.tscn new file mode 100644 index 0000000..8a38ef1 --- /dev/null +++ b/Resources/Objects/battery_2.tscn @@ -0,0 +1,500 @@ +[gd_scene load_steps=34 format=4 uid="uid://8dvcdba7m4uo"] + +[ext_resource type="Script" uid="uid://blrm6oxhr4c5l" path="res://Resources/Objects/battery_2.gd" id="1_th1wo"] +[ext_resource type="Texture2D" uid="uid://crh7u0lmcxdu6" path="res://assets/Images/bot.jpg" id="2_1iujv"] +[ext_resource type="AudioStream" uid="uid://y2i08iuj8lkj" path="res://assets/Sounds/collection1/General Sounds/Coins/sfx_coin_double1.wav" id="3_htm08"] + 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CZQFmAmcBZwFmAmUCZQGuAGYCrgBnAmYCrgCeAGcCYQFnAp4AZgJnArAAZgKwAGUCYQFoAmcCaAKwAGcCaQJoAmEBYAFpAmEBZQKwAGoCZQJqAmQCaAJrArAAawJqArAAaQIKAGgCCgBrAmgCZAJqAmwCawJsAmoCZAJsAmsBCgBiAWsCYgFsAmsCawFsAjUAYgE1AGwCawE1AGMCYwI1AG0CYwJtAmICbgI1AGIBbgJtAjUAbwJiAQoAbwJuAmIBYgJtArEAYgKxALIAsgCxAGACmwCxAG0CmwBtAm4CcAJgArEAcAKxAJsAcQJgAnACcQJ6AWACNwB6AXECXwCbAG4CXwBuAm8CcgJwApsAcgKbAF8AVAFxAnACVAFwAnICYQA3AHECYQBxAlQBUAE3AGEAWAFyAl8AcwJUAXICcwJyAlgBdAJhAFQBdAJUAXMCdQJQAWEAdQJhAHQCdgJQAXUCmABQAXYCWgKYAHYCWgJ2ApYAlgB2AncCdgJ1AncClgB3Ak4BUgF1AnQCdwJ1AlIBTgF3AjgAdwJSATgATgE4AJcAUgF0AlMBUwF0AnMCOABSAZoAmgBSAVMBlwA4AJkAOACaAJkAlwCZAEwBSQGXAEwBSQFMAUcBUwFzAlUBVQFzAlgBmgBTAWQAZABTAVUBRwFMAU0BeAKaAGQAmQCaAHgCRwFNAUsATAGZAHkCmQB4AnkCTAF5Ak0BSwBNARIASwASAEABQAESADgBTQF6AhIATQF5AnoCEgB7AjgBEgB6AnsCOAF7AjcBeQJDAXoCeQJ4AkMBegJ8AnsCegJDAXwCewJ9AjcBewJ8An0CNwF9ApwAQwF4An4CfAJDAQQAfAIEAH0CQwF+AgQAeAJkAH4CfQJ/ApwAfQIEAH8CnAB/AkoCfgJkAIACBAB+AlYBBABWAX8CfgKAAlYBZABVAYACfwKBAkoCfwJWAYECSgKBAlcBgAJVAYICVgGAAmMAVgFjAIECgAKCAmMAVQFYAYICgQJZAVcBgQJjAFkBVwFZAWAAggJYAYMCWAFfAIMCgwJfAG8CYwCCAoQCggKDAoQCYwCEAlkBgwJvAl8BhAKDAl8BXwFvAgoAXwEKAGkChAJfAYUCWQGEAoUChQJfAWkCWQGFAmAAhQJpAmABYACFAmABhgLGAIcBhwHGAIcChgKIAsYAiQKGAocBiAKKAsYAIgCIAoYCiwKGAokCiwIiAIYCiQKHAWsAiwKMAiIAiQKNAosCiwKNAowCiQKxAY0CawCxAYkCawCHAY4ChwGHAo4CawCPArEBawCOApACkAKPAmsAjgKHAogBkAKOAmYAjgKIAWYAhwK2AYgBkAJmAMkAkAKRAo8CyQCRApACkQIfAI8CyQBmAJICZgCIAbIBZgCyAZICiAEeALIBiAG2AR4AkgKyAbQBsgEeAJMCsgGTArQBtgGUAh4AHgC4AZMCHgCUArgBtAGTApUCkwK4AWwAkwJsAJUClAKWArgBuAG5AWwAuAGWArkBlQJsALsBbAC5Ad0AbADdALsBlgKXArkBuQGYAt0AuQGXApgC3QAOALsBmALeAN0A3QDeAA4AlwI+AJgCmAKZAt4APgCZApgC3gDuAQ4AmQJ1AN4A3gB1AO4BmQLtAXUAPgCaApkCmgLtAZkClwKbAj4AnAKaAj4AmwKcAj4AFQCbApcClgIVAJcCmwKdApwCtwEVAJYClAK3AZYCFQC6AZsCugGdApsCtwGeAhUAngK6ARUAnwK3AZQCtgGfApQCoAKeArcBnwKgArcBaACfArYBhwJoALYBxgBoAIcCxgCKAmgAaAChAp8CoQKgAp8CigKhAmgAoAJpAJ4CoQKKAaACigFpAKACiQGKAaECigKJAaECigGiAmkAagCJAYoCiAJqAIoCiQGjAooBowKiAooBagDHAIkBxwCjAokBpAJqAIgCIgCkAogCyADHAGoApALIAGoAIgClAqQCIgCMAqUCpALNAMgApAKlAs0AyACMAccAxwCmAqMCjAGmAscApgKLAaMCowKLAaICyADNABcAyAAXAIwBzQCSARcAjAGnAqYCpgJCAIsBpwJCAKYCjAEXAKgCjAGoAqcCFwCQAagCFwCSAZABzQB/AJIBpQJ/AM0ApQKcAX8AjAKcAaUCfwCVAZIBjALMAJwBjQLMAIwCnAGbAX8AfwCbAZUBzACdAZwBnAGdAZsBjQKeAcwAsQGeAY0CzACfAZ0BngGfAcwAsQGpAp4BjwKpArEBngGgAZ8BqQKgAZ4BjwIfAKkCqQLPAKABHwDPAKkCoAFuAJ8BnwEDAZ0BnwFuAAMBoAE6AG4AzwA6AKABnQEDAYAAnQGAAJsBbgACAQMBOgAEAW4AbgAEAQIBmwGAAJYBmwGWAZUBAwGaAYAAAwECAZoBgACYAZYBgACaAZgBlQGWAZQBlgGYAQEBlgEBAZQBlQGUAUMAkgGVAUMAkgFDAJABQwCUAeQAlAEBAeYAlAHmAOQAQwDkAJEBkAFDAJEBkAGRAeMAqAKQAeMAkQHkAH4AqALjAKoCpwKoAqoC4wCRAQ0AkQF+AA0AqgLjAKsC4wANAKsCpwKqAuEApwLhAEIAqgKrAuIA4QCqAuIAqwINAAIC4QCNAUIA4gCrAnwAqwICAnwA4QDiAKwC4QCsAo0B4gB8AK0CrALiAK0CrAKtAo4BQgCNAa4CQgCuAosBrAKvAo0BrAKOAa8CjQGPAa4CjQGvAo8BiwGuArACiwGwAqICrgKPAbECrgKxArACjgGyAq8CjgGtArICrwInAI8BrwKyAicAjwGzArECjwEnALMCrQK0ArICrQJ8ALQCsgL7AScAsgK0AvsBJwDoALMCJwD7AegAfADnALQCfAACAucAtAL+AfsBtALnAP4B+wH6AegA+wH+AfoBswLoAPQB6AD6AfYB6AD2AfQBswL0AXkAsQKzAnkAsQJ5AOAAsAKxAuAAeQD0AfMBsALgAHYAogKwAnYAogJ2AGkA4AB5ALwBeQDzAbwBdgDgALUC4AC8AbUCaQB2ALYCdgC1ArYCaQC2Ap4CngK2AroBtgJ3ALoBtgK1AncAugF3AJ0CtQK8AbcCtQK3AncAvAF4ALcCvAHzAXgAdwC3Au8BdwDvAZ0CtwJ4ALgCtwK4Au8B8wHyAXgAnQLvAbkCnQK5ApwCnAK5ApoC7wHoAbkC7wG4AugBuQLfAJoCuQLoAd8AmgLfAO0BeADtALgCeADyAe0AuALnAegBuALtAOcB6AHmAd8A6AHnAeYB3wDpAe0B3wDmAekB7QHpAesB7QHrAXUA5gHwAOkB5wHvAOYB5gHvAPAA5wE/AO8A7QA/AOcBdQDrAewBdQDsAe4B6QEhAOsB6QHwACEA6wHhAewB6wEhAOEB7QDuAD8A8gHuAO0A7gDlAT8A8gHsAO4AIQDiAeEBBwDsAPIB8wEHAPIB9AEHAPMB9AH2AQcABwD1AewA9gH1AQcA7ADqAe4A7gDqAeUB9QF6AOwA7AB6AOoB9gH5AfUB+gH5AfYB9QH4AXoA+QH4AfUB+gF7APkB/gF7APoB+QH9AfgBewD9AfkB/gHpAHsA5wDpAP4BewBAAP0B6QBAAHsA5wABAukAAgIBAucA6QAAAkAAAQIAAukAAgLlAAECDQDlAAICDQB+AOUA5QB9AAECAQJ9AAACfgC6AuUA5QC6An0AfgCTAboC5ACTAX4A5ADmAJMBkwEDAroCugK7An0AugIDArsCkwFEAAMC5gBEAJMBfQC7AuoAfQDqAAAC5gCXAUQAAQGXAeYARAC8AgMCAQGZAZcBmAGZAQEBlwG9AkQARAC9ArwCmQG+ApcBlwG+Ar0CmAGBAJkBmgGBAJgBvQLUAbwCgQBFAJkBmQFFAL4CmgGhAYEAAgGhAZoBgQAAAUUAoQEAAYEAAgEAAKEBBAEAAAIBoQG/AgABAAC/AqEBAAHAAkUAvwL/AAABAAH/AMACRQDAAtEBRQDRAb4CvgLRAcECvgLBAr0CvQLBAtQBwQLCAtQBvALUAcIC0QHTAcECwQLTAcICwAKEANEB0QGEANMBwALDAoQA/wDDAsACvALCAusAAwK8AusAAwLrALsC6wDCAkEA0wFBAMICuwLrAMQC6wBBAMQCuwLEAuoA0wHFAkEAhADFAtMBxAJBAMYCxQLGAkEA6gDEAscCxALGAscC6gDHAv8BAALqAP8BAAL/AUAAhADSAcUCwwLSAYQAxQLIAsYC0gHIAsUCQAD/AfoAQAD6AP0B/wEmAPoA/wHHAiYAxwLGAtgByALYAcYCxwLYASYA/QH6APwB/QH8AfgB+gAmAPgA+gD4APwBJgDYAfkAJgD5APgAyAKIANgBiAD5ANgByQKIAMgC0gHJAsgCiADXAfkA0AHJAtIBwwLQAdIByQLWAYgA1gHXAYgA0AGHAMkChwDWAckCJQDQAcMC/wAlAMMCzgGHANABJQDOAdABygIlAP8AvwLKAv8AywLOASUAygLLAiUAzALKAr8CAADMAr8CgwDLAsoCzAKDAMoCzQLMAgAABAHNAgAAogGDAMwCzQKiAcwCowHNAgQBOgCjAQQBggCiAc0CowGCAM0C0ACjAToAzwDQADoApAGCAKMB0ACkAaMBpgHQAM8AHwCmAc8AzgCkAdAApgHOANAAsAGmAR8AkQKwAR8AbQDOAKYBsAFtAKYBygCwAZECyQDKAJECrgFtALABygCuAbABzgLKAMkAyQCSAs4CDACuAcoAzgIMAMoAzgKSAmcAkgK0AWcAswEMAM4CzgJnALMBZwC0Ac8CtAGVAs8CswFnALUBZwDPArUBzwKVAtAClQK7AdACtQHPAgEAzwLQAgEAuwHRAtACuwEOANEC0ALSAgEA0ALRAtICDgDwAdECDgDuAfAB0QLcANIC0QLwAdwA7gE7APAB7gHsATsA8AHxAdwA8AE7APEB7AHfATsA7AHhAd8BOwDbAPEBOwDfAdsA4QHeAd8B3wF0ANs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") 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ExtResource("2_1iujv") + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("3_htm08") + +[connection signal="body_entered" from="." to="." method="_on_body_entered"] diff --git a/Resources/Objects/battery_box.gd b/Resources/Objects/battery_box.gd new file mode 100644 index 0000000..8f1f53a --- /dev/null +++ b/Resources/Objects/battery_box.gd @@ -0,0 +1,150 @@ +extends StaticBody3D +class_name BatteryBox2 + +@onready var ai_threat: Label3D = $AI_threat/AI_threat_label +@onready var box_battery = $Battery +@onready var battery_lamp_0:= $battery_lamp_0 +@onready var battery_lamp_1:= $battery_lamp_1 +@onready var status_lamps = [ + $Status/status_0, + $Status/status_1, + $Status/status_2, + $Status/status_3, + $Status/status_4 +] + +@export var power_needed: int = 50 +@export var max_power: int = 100 +@export var display_text: String +var current_power: int = 0 +var battery_obj: Battery = null +var blink_timer: Timer +var color_dict = {25: Color(0.0, 1.697, 0.0), + 50: Color(1.697, 1.697, 0.0), + 75: Color(1.697, 0.85, 0.0), + 100: Color(1.697, 0.0, 0.0)} + +signal removed_battery +signal fully_charged + +func _ready() -> void: + blink_timer = Timer.new() + blink_timer.wait_time = 0.3 + blink_timer.one_shot = false + blink_timer.timeout.connect(_on_blink_timeout) + add_child(blink_timer) + ai_threat.text = display_text + for lamp in status_lamps: + lamp.visible = true + if lamp.get_surface_override_material(0) == null: + var material = StandardMaterial3D.new() + lamp.set_surface_override_material(0, material) + lamp.get_surface_override_material(0).albedo_color = Color.DIM_GRAY + var material_b0 = battery_lamp_0.mesh.surface_get_material(0).duplicate() + battery_lamp_0.mesh.surface_set_material(0, material_b0) + var material_b1 = battery_lamp_1.mesh.surface_get_material(0).duplicate() + battery_lamp_1.mesh.surface_set_material(0, material_b1) + +func insert_battery(battery: Battery) -> void: + battery_obj = battery + current_power = battery_obj.stored_power + var lamp_color = color_dict[current_power] + battery_lamp_0.mesh.surface_get_material(0).albedo_color = lamp_color + battery_lamp_1.mesh.surface_get_material(0).albedo_color = lamp_color + box_battery.visible = true + update_status_lamps(battery_obj) + +func remove_battery() -> Battery: + $Sprite3D.visible = false + var temp_battery = battery_obj + battery_obj = null + if current_power == power_needed: + removed_battery.emit() + current_power = 0 + box_battery.visible = false + blink_timer.stop() + + for lamp in status_lamps: + if lamp.get_surface_override_material(0) == null: + var material = StandardMaterial3D.new() + lamp.set_surface_override_material(0, material) + lamp.get_surface_override_material(0).albedo_color = Color.DIM_GRAY + lamp.visible = true + + battery_lamp_0.mesh.surface_get_material(0).albedo_color = Color.DIM_GRAY + battery_lamp_1.mesh.surface_get_material(0).albedo_color = Color.DIM_GRAY + + temp_battery.remove_from_station() + return temp_battery + +func update_status_lamps(battery_obj: Battery) -> void: + # ratio between current_power and power_needed + var ratio: float = 0.0 + if power_needed != 0: + ratio = float(current_power) / float(power_needed) + ratio = clamp(ratio, 0.0, 1.0) + + # count of lamps that should be colored (0..len) + var lamps_to_light: int = ceil(ratio * status_lamps.size()) + # special cases: exactly full or overloaded + var is_full := current_power == power_needed + var is_over := current_power > power_needed + if is_full: + play_sounds('insert_correct') + fully_charged.emit() + $Sprite3D.texture = load(battery_obj.image_path) + $Sprite3D.visible = true + # update each lamp + for i in range(lamps_to_light): + var lamp = status_lamps[i] + # secure that material is there + if lamp.get_surface_override_material(0) == null: + var material = StandardMaterial3D.new() + lamp.set_surface_override_material(0, material) + lamp.get_surface_override_material(0).albedo_color = Color.GREEN + + + if is_over: + play_sounds('insert_false') + # too much -> all red + lamp.get_surface_override_material(0).albedo_color = Color.RED + lamp.visible = true + elif is_full: + # exaclty full -> all green + lamp.get_surface_override_material(0).albedo_color = Color.GREEN + lamp.visible = true + + else: + # off / grey + play_sounds('insert_false') + lamp.get_surface_override_material(0).albedo_color = Color.YELLOW + lamp.visible = true + await get_tree().create_timer(0.3).timeout + + # blink if overloaded + if is_over: + if not blink_timer.is_stopped(): + # timer is running -> nothing + pass + else: + blink_timer.start() + else: + blink_timer.stop() + # make sure that all are visible (if blinking before) + for lamp in status_lamps: + lamp.visible = true + +func _on_blink_timeout() -> void: + # in case of too much power: lamps blink (toggle visibility) + if current_power > power_needed: + for lamp in status_lamps: + if lamp.get_surface_override_material(0).albedo_color == Color.DIM_GRAY: + lamp.get_surface_override_material(0).albedo_color = Color.RED + else: + lamp.get_surface_override_material(0).albedo_color = Color.DIM_GRAY + +func play_sounds(soundname: String) -> void: + if soundname == 'insert_correct': + $audio_right.play() + elif soundname == 'insert_false': + $audio_false.play() diff --git a/Resources/Objects/battery_box.gd.uid b/Resources/Objects/battery_box.gd.uid new file mode 100644 index 0000000..2961bc0 --- /dev/null +++ b/Resources/Objects/battery_box.gd.uid @@ -0,0 +1 @@ +uid://ctgkbxok3s47x diff --git a/Resources/Objects/battery_box.tscn b/Resources/Objects/battery_box.tscn new file mode 100644 index 0000000..633dd1a --- /dev/null +++ b/Resources/Objects/battery_box.tscn @@ -0,0 +1,798 @@ +[gd_scene load_steps=53 format=4 uid="uid://dvog4rilbeyxy"] + +[ext_resource type="Script" uid="uid://ctgkbxok3s47x" path="res://Resources/Objects/battery_box.gd" id="1_7elje"] +[ext_resource 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") 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name="AI_threat" type="MeshInstance3D" parent="."] +transform = Transform3D(0.6, 0, 0, 0, -2.6226834e-08, -0.6, 0, 0.6, -2.6226834e-08, -0.03192377, 0.4142723, 0.7650757) +mesh = SubResource("ArrayMesh_1dd0d") +skeleton = NodePath("") + +[node name="AI_threat_label" type="Label3D" parent="AI_threat"] +transform = Transform3D(1.6666665, 0, 0, 0, -7.285231e-08, 1.6666665, 0, -1.6666665, -7.285231e-08, 0, 0.028381348, -0.022519428) +text = "test" +font = SubResource("FontVariation_yimq0") +font_size = 48 +autowrap_mode = 2 + +[node name="Status" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.027215004, 0.8234608, 0.7484958) +mesh = SubResource("ArrayMesh_3r7ht") +skeleton = NodePath("") + +[node name="status_0" type="MeshInstance3D" parent="Status"] +transform = Transform3D(1, 0, 0, 0, -4.371139e-08, -1, 0, 1, -4.371139e-08, -0.27705383, 0, 0.050720215) +mesh = SubResource("PlaneMesh_7elje") + +[node name="status_1" type="MeshInstance3D" parent="Status"] +transform = Transform3D(1, 0, 0, 0, -4.371139e-08, -1, 0, 1, -4.371139e-08, -0.13273239, 0, 0.050720215) +mesh = SubResource("PlaneMesh_7elje") + +[node name="status_2" type="MeshInstance3D" parent="Status"] +transform = Transform3D(1, 0, 0, 0, -4.371139e-08, -1, 0, 1, -4.371139e-08, 0.008598328, 0, 0.050720215) +mesh = SubResource("PlaneMesh_7elje") + +[node name="status_3" type="MeshInstance3D" parent="Status"] +transform = Transform3D(1, 0, 0, 0, -4.371139e-08, -1, 0, 1, -4.371139e-08, 0.14220047, 0, 0.050720215) +mesh = SubResource("PlaneMesh_7elje") + +[node name="status_4" type="MeshInstance3D" parent="Status"] +transform = Transform3D(1, 0, 0, 0, -4.371139e-08, -1, 0, 1, -4.371139e-08, 0.2750473, 0, 0.050720215) +mesh = SubResource("PlaneMesh_7elje") + +[node name="battery_lamp_0" type="MeshInstance3D" parent="."] +transform = Transform3D(0.09613364, 0, 0, 0, 0.1244118, 0, 0, 0, 0.09613364, 0.0034971237, 0.5504527, 0.21107936) +mesh = SubResource("ArrayMesh_34q1u") +skeleton = NodePath("") + +[node name="battery_lamp_1" type="MeshInstance3D" parent="."] +transform = Transform3D(0.09613364, 0, 0, 0, 0.1244118, 0, 0, 0, 0.09613364, 0.0034971237, -0.6250664, 0.1972996) +mesh = SubResource("ArrayMesh_472d7") +skeleton = NodePath("") + +[node name="Sprite3D" type="Sprite3D" parent="."] +transform = Transform3D(1.5, 0, 0, 0, 1.5, 0, 0, 0, 1.5, 0, 1.2606928, 0.67647433) +pixel_size = 0.0008 +texture = SubResource("ImageTexture_7elje") + +[node name="audio_false" type="AudioStreamPlayer" parent="."] +stream = ExtResource("3_pmgjg") +volume_db = -8.0 + +[node name="audio_right" type="AudioStreamPlayer" parent="."] +stream = ExtResource("4_r7g7k") +volume_db = -8.0 diff --git a/Resources/Objects/block.tscn b/Resources/Objects/block.tscn new file mode 100644 index 0000000..35e7196 --- /dev/null +++ b/Resources/Objects/block.tscn @@ -0,0 +1,24 @@ +[gd_scene load_steps=5 format=3 uid="uid://dw48drx137ih2"] + +[ext_resource type="Script" uid="uid://b8c8vph26uu41" path="res://Interact/grabbable_object.gd" id="1_8qqxd"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_qncar"] +albedo_color = Color(0.53, 1, 0.9451667, 1) + +[sub_resource type="BoxMesh" id="BoxMesh_qncar"] +material = SubResource("StandardMaterial3D_qncar") + +[sub_resource type="BoxShape3D" id="BoxShape3D_im0tn"] + +[node name="Block" type="RigidBody3D"] +collision_layer = 4 +collision_mask = 7 +mass = 0.001 +continuous_cd = true +script = ExtResource("1_8qqxd") + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +mesh = SubResource("BoxMesh_qncar") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +shape = SubResource("BoxShape3D_im0tn") diff --git a/Resources/Objects/bridge.tscn b/Resources/Objects/bridge.tscn new file mode 100644 index 0000000..4683d70 --- /dev/null +++ b/Resources/Objects/bridge.tscn @@ -0,0 +1,19 @@ +[gd_scene load_steps=3 format=3 uid="uid://cq0h8h7icvfe0"] + +[ext_resource type="ArrayMesh" uid="uid://dxs6dl0kt33hf" path="res://Resources/meshes/bridge.tres" id="1_5r8xi"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_h7pgn"] +size = Vector3(22, 0.2, 2.5) + +[node name="bridge" type="StaticBody3D"] +transform = Transform3D(0.99701, -0.0772759, 0, 0.0772759, 0.99701, 0, 0, 0, 1, 0, 0, 0) +collision_layer = 2 +collision_mask = 13 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(1.2, 0, 0, 0, 1.2, 0, 0, 0, 1.2, 0, 1.194, 0) +mesh = ExtResource("1_5r8xi") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1.195, 0) +shape = SubResource("BoxShape3D_h7pgn") diff --git a/Resources/Objects/fence.tscn b/Resources/Objects/fence.tscn new file mode 100644 index 0000000..e9fbccd --- /dev/null +++ b/Resources/Objects/fence.tscn @@ -0,0 +1,18 @@ +[gd_scene load_steps=3 format=3 uid="uid://cekwmmeqhnt8c"] + +[ext_resource type="ArrayMesh" uid="uid://2k22inm231b5" path="res://Resources/meshes/fence.tres" id="1_cvhob"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_mfgll"] +size = Vector3(0.211, 10, 1.981) + +[node name="Fence" type="StaticBody3D"] +collision_layer = 64 +collision_mask = 9 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(-4.371139e-08, 1, 0, -1, -4.371139e-08, 0, 0, 0, 1, 0, 1.3103899, 0) +mesh = ExtResource("1_cvhob") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0075683594, 5.002912, -0.00012207031) +shape = SubResource("BoxShape3D_mfgll") diff --git a/Resources/Objects/fence_broken.tscn b/Resources/Objects/fence_broken.tscn new file mode 100644 index 0000000..157abf4 --- /dev/null +++ b/Resources/Objects/fence_broken.tscn @@ -0,0 +1,18 @@ +[gd_scene load_steps=3 format=3 uid="uid://cxdft2gl865c8"] + +[ext_resource type="ArrayMesh" uid="uid://blqyd0o0ggy2t" path="res://Resources/meshes/fence_broken.tres" id="1_s6vr1"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_mfgll"] +size = Vector3(0.211, 0.9, 1.981) + +[node name="Fence" type="StaticBody3D"] +collision_layer = 64 +collision_mask = 9 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(-4.371139e-08, 1, 0, -1, -4.371139e-08, 0, 0, 0, 1, 0, 1.3234521, -0.02176714) +mesh = ExtResource("1_s6vr1") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0075683594, 0.4515351, -0.00012207031) +shape = SubResource("BoxShape3D_mfgll") diff --git a/Resources/Objects/fence_left.tscn b/Resources/Objects/fence_left.tscn new file mode 100644 index 0000000..9fcdd67 --- /dev/null +++ b/Resources/Objects/fence_left.tscn @@ -0,0 +1,18 @@ +[gd_scene load_steps=3 format=3 uid="uid://cbiyc2os4l2le"] + +[ext_resource type="ArrayMesh" uid="uid://cp8pmyubrkik5" path="res://Resources/meshes/fence_left.tres" id="1_xstg8"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_mfgll"] +size = Vector3(0.211, 10, 1.981) + +[node name="FenceLeft" type="StaticBody3D"] +collision_layer = 64 +collision_mask = 9 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(-4.371139e-08, 1, 0, -1, -4.371139e-08, 0, 0, 0, 1, 0, 1.230836, 0) +mesh = ExtResource("1_xstg8") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0075683594, 4.9100523, -0.00012207031) +shape = SubResource("BoxShape3D_mfgll") diff --git a/Resources/Objects/fence_right.tscn b/Resources/Objects/fence_right.tscn new file mode 100644 index 0000000..162ccfc --- /dev/null +++ b/Resources/Objects/fence_right.tscn @@ -0,0 +1,18 @@ +[gd_scene load_steps=3 format=3 uid="uid://78ini7csghyn"] + +[ext_resource type="ArrayMesh" uid="uid://3dws0pbmut6j" path="res://Resources/meshes/fence_right.tres" id="1_2kidb"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_mfgll"] +size = Vector3(0.211, 10, 1.981) + +[node name="FenceRight" type="StaticBody3D"] +collision_layer = 64 +collision_mask = 9 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(-4.371139e-08, 1, 0, -1, -4.371139e-08, 0, 0, 0, 1, 0, 1.3164206, 0) +mesh = ExtResource("1_2kidb") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0075683594, 4.9798994, -0.00012207031) +shape = SubResource("BoxShape3D_mfgll") diff --git a/Resources/Objects/fence_small.tscn b/Resources/Objects/fence_small.tscn new file mode 100644 index 0000000..13df37c --- /dev/null +++ b/Resources/Objects/fence_small.tscn @@ -0,0 +1,53 @@ +[gd_scene load_steps=5 format=4 uid="uid://sdytd17xrx81"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_xantc"] +resource_name = "black" +cull_mode = 2 +albedo_color = Color(0, 0, 0, 1) +roughness = 0.5 + +[sub_resource type="ArrayMesh" id="ArrayMesh_2uyr3"] +_surfaces = [{ +"aabb": AABB(0.609988, -7.67489e-09, -0.801522, 0.703757, 0.00369327, 1.60304), +"format": 34896613377, +"index_count": 18, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAAFAAYABAAHAAUACAAJAAoACAALAAkA"), +"name": "black", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 12, +"vertex_data": PackedByteArray("2iEBAP//AAAATgAAAAAAAABOAAD//wAA2iEBAAAAAAAAAP//v90AAP///v/zywAA///+/7/dAAAAAP//88sAAAAA//9/NAAA///+/7MiAAD///7/fzQAAAAA//+zIgAA") +}] +blend_shape_mode = 0 + +[sub_resource type="ArrayMesh" id="ArrayMesh_duw40"] +resource_name = "assets_Plane_007" +_surfaces = [{ +"aabb": AABB(0.609988, -7.67489e-09, -0.801522, 0.703757, 0.00369327, 1.60304), +"attribute_data": PackedByteArray("AAD/////AAD/////AAAAAAAA/////wAA/////wAAAAAAAP////8AAP////8AAAAA"), +"format": 34896613399, +"index_count": 18, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAAFAAYABAAHAAUACAAJAAoACAALAAkA"), +"material": SubResource("StandardMaterial3D_xantc"), +"name": "black", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 12, +"vertex_data": PackedByteArray("2iEBAP///78ATgAAAAD/vwBOAAD///+/2iEBAAAA/78AAP//v93/v////v/zy/+////+/7/d/78AAP//88v/vwAA//9/NP+////+/7Mi/7////7/fzT/vwAA//+zIv+//v//f/7//3/+//9//v//f////3////9/////f////3////9/////f////3////9/") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_2uyr3") + +[sub_resource type="BoxShape3D" id="BoxShape3D_t0hol"] +size = Vector3(0.3, 0.1, 1.55) + +[node name="fence_small" type="StaticBody3D"] +collision_layer = 4 + +[node name="Schranke" type="MeshInstance3D" parent="."] +mesh = SubResource("ArrayMesh_duw40") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(0.997626, -0.0688685, 0, 0.0688685, 0.997626, 0, 0, 0, 1, 0.81965, 0.0212097, -0.00942993) +shape = SubResource("BoxShape3D_t0hol") diff --git a/Resources/Objects/helper.tscn b/Resources/Objects/helper.tscn new file mode 100644 index 0000000..5ed0dc1 --- /dev/null +++ b/Resources/Objects/helper.tscn @@ -0,0 +1,53 @@ +[gd_scene load_steps=7 format=3 uid="uid://1oady27a34wi"] + +[ext_resource type="Script" uid="uid://bivev0gbnbo5t" path="res://npc.gd" id="1_6jshr"] +[ext_resource type="PackedScene" uid="uid://ctx8osel3k43n" path="res://check_collision_wall.tscn" id="2_nwv0p"] +[ext_resource type="PackedScene" uid="uid://bhihpqj7er21q" path="res://check_collision_npc.tscn" id="3_e80nv"] +[ext_resource type="PackedScene" uid="uid://dl4nljdcflehk" path="res://helper.tscn" id="4_nwv0p"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_6jshr"] +size = Vector3(0.5161743, 1.3706055, 0.501709) + +[sub_resource type="BoxShape3D" id="BoxShape3D_nwv0p"] +size = Vector3(1.2747803, 1.223877, 1.4574585) + +[node name="NPC" type="CharacterBody3D"] +transform = Transform3D(-1, 0, -8.742278e-08, 0, 1, 0, 8.742278e-08, 0, -1, 0, 0, 0) +collision_layer = 8 +collision_mask = 7 +script = ExtResource("1_6jshr") +prompt_message = "drücken Sie [t] oder [Enter]" +talkable = true + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.037261963, -0.04911697, -0.022094727) +shape = SubResource("BoxShape3D_6jshr") + +[node name="RayCast3D" parent="." instance=ExtResource("2_nwv0p")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.55272627, -0.076056) + +[node name="InteractionChecker" type="Area3D" parent="."] +collision_layer = 0 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="InteractionChecker"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.0037231457, -0.060058594, 0.22872925) +shape = SubResource("BoxShape3D_nwv0p") + +[node name="RayCast3D2" parent="." instance=ExtResource("3_e80nv")] + +[node name="helper" parent="." instance=ExtResource("4_nwv0p")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.3250453e-09, -0.54445666, -0.060911417) + +[node name="Label3D" type="Label3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1.3886542, 0) +billboard = 1 +text = "Rede mit mir! +(t / Enter) +| +| +\\/" +font_size = 42 +outline_size = 8 + +[connection signal="body_entered" from="InteractionChecker" to="." method="_on_interaction_checker_body_entered"] +[connection signal="body_exited" from="InteractionChecker" to="." method="_on_interaction_checker_body_exited"] diff --git a/Resources/Objects/plane.tscn b/Resources/Objects/plane.tscn new file mode 100644 index 0000000..58d17bb --- /dev/null +++ b/Resources/Objects/plane.tscn @@ -0,0 +1,17 @@ +[gd_scene load_steps=3 format=3 uid="uid://cbg71qd7mr1a5"] + +[ext_resource type="ArrayMesh" uid="uid://cx3mytwy5a0ld" path="res://Resources/meshes/plane.tres" id="1_5clto"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_e4xu0"] +size = Vector3(2.2, 0.1, 2.1) + +[node name="bridge2" type="StaticBody3D"] +collision_layer = 2 +collision_mask = 13 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(0.103683256, 0, 0, 0, 0.71690935, 0, 0, 0, 1.082177, 0, 0, 0) +mesh = ExtResource("1_5clto") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +shape = SubResource("BoxShape3D_e4xu0") diff --git a/Resources/Objects/pressure_block.gd b/Resources/Objects/pressure_block.gd new file mode 100644 index 0000000..c867075 --- /dev/null +++ b/Resources/Objects/pressure_block.gd @@ -0,0 +1,72 @@ +extends Node3D + +@export var required_weight: float = 5.0 +@export var active_color: Color = Color(0, 1, 0) +@export var inactive_color: Color = Color(1, 0, 0) +@export var text_on_activation: String + +@onready var area: Area3D = $Area3D +@onready var mesh: MeshInstance3D = $MeshInstance3D +@onready var static_body: StaticBody3D = $StaticBody3D +signal activated +signal deactivated + +var current_weight: float = 0.0 +var is_active: bool = false + +func _ready(): + mesh.material_override = StandardMaterial3D.new() + mesh.material_override.albedo_color = inactive_color + +func _on_body_entered(body: Node3D) -> void: + print("body entered") + print(body) + var w = _get_body_weight(body) + if w > 0: + current_weight += w + _check_weight() + +func _on_body_exited(body: Node3D) -> void: + var w = _get_body_weight(body) + if w > 0: + current_weight -= w + _check_weight() + +func _get_body_weight(body: Node3D) -> float: + if body.has_method("get_weight"): + return body.get_weight() + elif body is RigidBody3D: + return body.mass + return 0.0 + +func _check_weight() -> void: + var active_now = current_weight >= required_weight + if active_now != is_active: + is_active = active_now + _update_visuals() + if is_active: + _on_activated() + else: + _on_deactivated() + +func _update_visuals(): + mesh.material_override.albedo_color = active_color if is_active else inactive_color + + var target_pos_y = -0.05 if is_active else 0.0 + var tween = get_tree().create_tween() + + # Bewege sowohl das sichtbare Mesh als auch den Kollisionskörper nach unten + tween.tween_property(mesh, "position:y", target_pos_y, 0.2)\ + .set_trans(Tween.TRANS_SINE).set_ease(Tween.EASE_OUT) + tween.tween_property(static_body, "position:y", target_pos_y, 0.2)\ + .set_trans(Tween.TRANS_SINE).set_ease(Tween.EASE_OUT) + + + +func _on_activated(): + print("Pressure block activated! Total weight =", current_weight) + activated.emit() + +func _on_deactivated(): + print("Pressure block deactivated!") + deactivated.emit() diff --git a/Resources/Objects/pressure_block.gd.uid b/Resources/Objects/pressure_block.gd.uid new file mode 100644 index 0000000..40295c9 --- /dev/null +++ b/Resources/Objects/pressure_block.gd.uid @@ -0,0 +1 @@ +uid://debptt7fdw0mw diff --git a/Resources/Objects/pressure_block.tscn b/Resources/Objects/pressure_block.tscn new file mode 100644 index 0000000..aba2ec8 --- /dev/null +++ b/Resources/Objects/pressure_block.tscn @@ -0,0 +1,38 @@ +[gd_scene load_steps=5 format=3 uid="uid://dvjxy8tyaxcjr"] + +[ext_resource type="Script" uid="uid://debptt7fdw0mw" path="res://Resources/Objects/pressure_block.gd" id="1_adrnk"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_mjcge"] +size = Vector3(1, 0.5, 1) + +[sub_resource type="BoxMesh" id="BoxMesh_adrnk"] +size = Vector3(1, 0.1, 1) + +[sub_resource type="BoxShape3D" id="BoxShape3D_adrnk"] +size = Vector3(1, 0.1, 1) + +[node name="PressureBlock" type="Node3D"] +script = ExtResource("1_adrnk") + +[node name="Area3D" type="Area3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.46808624, 0) +collision_layer = 4 +collision_mask = 5 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.26072478, 0) +shape = SubResource("BoxShape3D_mjcge") + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +mesh = SubResource("BoxMesh_adrnk") + +[node name="StaticBody3D" type="StaticBody3D" parent="."] +collision_layer = 4 +collision_mask = 4 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="StaticBody3D"] +shape = SubResource("BoxShape3D_adrnk") +disabled = true + +[connection signal="body_entered" from="Area3D" to="." method="_on_body_entered"] +[connection signal="body_exited" from="Area3D" to="." method="_on_body_exited"] diff --git a/Resources/Objects/quiz_object.gd b/Resources/Objects/quiz_object.gd new file mode 100644 index 0000000..d0cc12a --- /dev/null +++ b/Resources/Objects/quiz_object.gd @@ -0,0 +1,82 @@ +extends Node3D +class_name QuizBox + +@export var question: String +@export var correct: int +@export var answer_0: String +@export var answer_1: String +@export var answer_2: String +@export var answer_3: String + +@onready var animation_player: AnimationPlayer = $AnimationPlayer +@onready var quiz_light: CSGSphere3D = $quiz_box_sb/quiz_box/quiz_light + +@onready var answer_pad_0: Area3D = $answers/answer_pad_0/Area3D +@onready var answer_pad_1: Area3D = $answers/answer_pad_1/Area3D +@onready var answer_pad_2: Area3D = $answers/answer_pad_2/Area3D +@onready var answer_pad_3: Area3D = $answers/answer_pad_3/Area3D + +@onready var answer_0_label: Label3D = $answers/answer_pad_0/answer_0_label +@onready var answer_1_label: Label3D = $answers/answer_pad_1/answer_1_label +@onready var answer_2_label: Label3D = $answers/answer_pad_2/answer_2_label +@onready var answer_3_label: Label3D = $answers/answer_pad_3/answer_3_label + +@onready var question_label: Label3D = $StaticBody3D/Wall/question_label + +var answered_correctly := false + +func _ready() -> void: + # Texte setzen + question_label.text = question + answer_0_label.text = answer_0 + answer_1_label.text = answer_1 + answer_2_label.text = answer_2 + answer_3_label.text = answer_3 + + # Signale verbinden + answer_pad_0.body_entered.connect(_on_answer_entered.bind(0)) + answer_pad_1.body_entered.connect(_on_answer_entered.bind(1)) + answer_pad_2.body_entered.connect(_on_answer_entered.bind(2)) + answer_pad_3.body_entered.connect(_on_answer_entered.bind(3)) + + # WICHTIG: Material duplizieren, damit es nicht mit anderen Instanzen geteilt wird + if quiz_light.material != null: + # tiefe Kopie (alle Subressourcen mitduplizieren) + quiz_light.material = quiz_light.material.duplicate(true) + else: + quiz_light.material = StandardMaterial3D.new() + + # Grundeinstellungen für diese Instanz + quiz_light.material.emission_enabled = true + quiz_light.material.emission_energy = 0.5 + quiz_light.material.albedo_color = Color.WHITE + quiz_light.material.emission = Color.WHITE + +func _on_answer_entered(body: Node3D, answer_index: int) -> void: + if not body.is_in_group("player"): + return # Nur Player soll triggern + + # Wenn schon korrekt beantwortet, nichts tun + if answered_correctly: + return + + # Prüfen und nur DIESE Instanzlampe setzen + if answer_index == correct: + _set_light_color(Color.GREEN) + question_label.visible = false + animation_player.play("open_door") + answered_correctly = true + else: + _set_light_color(Color.RED) + # optional: nach kurzer Zeit zurücksetzen, damit neu versucht werden kann + await get_tree().create_timer(1.0).timeout + _set_light_color(Color.WHITE) + +func _set_light_color(color: Color) -> void: + # Setze nur das Material dieser Instanz + if quiz_light.material == null: + quiz_light.material = StandardMaterial3D.new() + quiz_light.material.albedo_color = color + quiz_light.material.emission = color + # erhöhe kurz die Emission für Sichtbarkeit bei Farben außer weiß + quiz_light.material.emission_energy = 1.5 if color != Color.WHITE else 0.5 diff --git a/Resources/Objects/quiz_object.gd.uid b/Resources/Objects/quiz_object.gd.uid new file mode 100644 index 0000000..01c9742 --- /dev/null +++ b/Resources/Objects/quiz_object.gd.uid @@ -0,0 +1 @@ +uid://caan28e6gl7fk diff --git a/Resources/Objects/quiz_object.tscn b/Resources/Objects/quiz_object.tscn new file mode 100644 index 0000000..bb7417d --- /dev/null +++ b/Resources/Objects/quiz_object.tscn @@ -0,0 +1,217 @@ +[gd_scene load_steps=11 format=3 uid="uid://c45ex56io7rv7"] + +[ext_resource type="Script" uid="uid://caan28e6gl7fk" path="res://Resources/Objects/quiz_object.gd" id="1_ybh4a"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_ybh4a"] + +[sub_resource type="BoxShape3D" id="BoxShape3D_6mevd"] +size = Vector3(1, 2, 1) + +[sub_resource type="BoxShape3D" id="BoxShape3D_ybh4a"] + +[sub_resource type="Animation" id="Animation_ybh4a"] +length = 0.001 +tracks/0/type = "position_3d" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("StaticBody3D/Wall/left_door_sb/left_door") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = PackedFloat32Array(0, 1, -2, 0, 0) +tracks/1/type = "position_3d" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("StaticBody3D/Wall/right_door_sb/right_door") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = PackedFloat32Array(0, 1, 2, 0, 0) +tracks/2/type = "position_3d" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("StaticBody3D/Wall/left_door_sb/left_door_cs") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = PackedFloat32Array(0, 1, -2, 0, 0) +tracks/3/type = "position_3d" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("StaticBody3D/Wall/right_door_sb/right_door_cs") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = PackedFloat32Array(0, 1, 2, 0, 0) + +[sub_resource type="Animation" id="Animation_5clbn"] +resource_name = "open_door" +length = 2.0 +tracks/0/type = "position_3d" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("StaticBody3D/Wall/left_door_sb/left_door") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = PackedFloat32Array(0, 1, -2, 0, 0, 2, 1, -5, 0, 0) +tracks/1/type = "position_3d" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("StaticBody3D/Wall/right_door_sb/right_door") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = PackedFloat32Array(0, 1, 2, 0, 0, 2, 1, 5, 0, 0) +tracks/2/type = "position_3d" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("StaticBody3D/Wall/right_door_sb/right_door_cs") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = PackedFloat32Array(0, 1, 2, 0, 0, 2, 1, 5, 0, 0) +tracks/3/type = "position_3d" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("StaticBody3D/Wall/left_door_sb/left_door_cs") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = PackedFloat32Array(0, 1, -2, 0, 0, 2, 1, -5, 0, 0) + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_402uq"] +_data = { +&"RESET": SubResource("Animation_ybh4a"), +&"open_door": SubResource("Animation_5clbn") +} + +[sub_resource type="BoxShape3D" id="BoxShape3D_402uq"] +size = Vector3(5, 6, 0.5) + +[sub_resource type="BoxShape3D" id="BoxShape3D_584uj"] +size = Vector3(4, 6, 0.2) + +[sub_resource type="BoxShape3D" id="BoxShape3D_resk5"] +size = Vector3(4, 6, 0.2) + +[node name="quiz_object" type="Node3D"] +script = ExtResource("1_ybh4a") + +[node name="quiz_box_sb" type="StaticBody3D" parent="."] + +[node name="quiz_box" type="CSGBox3D" parent="quiz_box_sb"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -2, 0, 0) + +[node name="quiz_light" type="CSGSphere3D" parent="quiz_box_sb/quiz_box"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.9793253, 0) +material = SubResource("StandardMaterial3D_ybh4a") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="quiz_box_sb"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -2, 0.5, 0) +shape = SubResource("BoxShape3D_6mevd") + +[node name="answers" type="Node3D" parent="."] + +[node name="answer_pad_0" type="CSGBox3D" parent="answers"] +size = Vector3(1, 0.1, 1) + +[node name="answer_0_label" type="Label3D" parent="answers/answer_pad_0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0) +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_0"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_0/Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.48036242, 0) +shape = SubResource("BoxShape3D_ybh4a") + +[node name="answer_pad_1" type="CSGBox3D" parent="answers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 1.5, 0, 0) +size = Vector3(1, 0.1, 1) + +[node name="answer_1_label" type="Label3D" parent="answers/answer_pad_1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0) +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_1"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_1/Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.48036242, 0) +shape = SubResource("BoxShape3D_ybh4a") + +[node name="answer_pad_2" type="CSGBox3D" parent="answers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 3, 0, 0) +size = Vector3(1, 0.1, 1) + +[node name="answer_2_label" type="Label3D" parent="answers/answer_pad_2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0) +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_2"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_2/Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.48036242, 0) +shape = SubResource("BoxShape3D_ybh4a") + +[node name="answer_pad_3" type="CSGBox3D" parent="answers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.5, 0, 0) +size = Vector3(1, 0.1, 1) + +[node name="answer_3_label" type="Label3D" parent="answers/answer_pad_3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0) +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_3"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_3/Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.48036242, 0) +shape = SubResource("BoxShape3D_ybh4a") + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_402uq") +} + +[node name="StaticBody3D" type="StaticBody3D" parent="."] +collision_layer = 7 +collision_mask = 7 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="StaticBody3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3, 3, -4) +shape = SubResource("BoxShape3D_402uq") + +[node name="CollisionShape3D2" type="CollisionShape3D" parent="StaticBody3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 7.5, 3, -4) +shape = SubResource("BoxShape3D_402uq") + +[node name="Wall" type="CSGBox3D" parent="StaticBody3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 2.25, 3, -4) +size = Vector3(16, 6, 0.5) + +[node name="door_space" type="CSGSphere3D" parent="StaticBody3D/Wall"] +operation = 2 +radius = 3.1 +rings = 10 + +[node name="question_label" type="Label3D" parent="StaticBody3D/Wall"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0.18187094) +font_size = 64 +autowrap_mode = 2 +width = 1000.0 + +[node name="left_door_sb" type="StaticBody3D" parent="StaticBody3D/Wall"] +collision_layer = 7 +collision_mask = 7 + +[node name="left_door" type="CSGBox3D" parent="StaticBody3D/Wall/left_door_sb"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -2, 0, 0) +size = Vector3(4, 6, 0.2) + +[node name="left_door_cs" type="CollisionShape3D" parent="StaticBody3D/Wall/left_door_sb"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -2, 0, 0) +shape = SubResource("BoxShape3D_584uj") + +[node name="right_door_sb" type="StaticBody3D" parent="StaticBody3D/Wall"] +collision_layer = 7 +collision_mask = 7 + +[node name="right_door" type="CSGBox3D" parent="StaticBody3D/Wall/right_door_sb"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 0) +size = Vector3(4, 6, 0.2) + +[node name="right_door_cs" type="CollisionShape3D" parent="StaticBody3D/Wall/right_door_sb"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 0) +shape = SubResource("BoxShape3D_resk5") diff --git a/Resources/Objects/rock.gd b/Resources/Objects/rock.gd new file mode 100644 index 0000000..bd0e7a0 --- /dev/null +++ b/Resources/Objects/rock.gd @@ -0,0 +1,9 @@ +extends RigidBody3D + +func _ready(): + await get_tree().create_timer(10.0).timeout + queue_free() + + +func _on_body_entered(body: Node) -> void: + gravity_scale = 1.0 diff --git a/Resources/Objects/rock.gd.uid b/Resources/Objects/rock.gd.uid new file mode 100644 index 0000000..1bc5651 --- /dev/null +++ b/Resources/Objects/rock.gd.uid @@ -0,0 +1 @@ +uid://dwc5ak0wgd6aj diff --git a/Resources/Objects/rock.tscn b/Resources/Objects/rock.tscn new file mode 100644 index 0000000..51d8d04 --- /dev/null +++ b/Resources/Objects/rock.tscn @@ -0,0 +1,64 @@ +[gd_scene load_steps=6 format=4 uid="uid://o75rhw4dgny7"] + +[ext_resource type="Script" uid="uid://dwc5ak0wgd6aj" path="res://Resources/Objects/rock.gd" id="1_6w8i3"] + +[sub_resource type="SphereShape3D" id="SphereShape3D_qjke0"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_cgvqo"] +resource_name = "white" +cull_mode = 2 +roughness = 0.5 + +[sub_resource type="ArrayMesh" id="ArrayMesh_b0dua"] +_surfaces = [{ +"aabb": AABB(-0.6646835, 0.83647376, 0.75254774, 0.1866208, 0.18662077, 0.18662083), +"format": 34896613377, +"index_count": 2304, +"index_data": 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+}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_b0dua") + +[node name="Rock" type="RigidBody3D" groups=["throwable"]] +collision_layer = 32 +collision_mask = 14 +mass = 0.25 +continuous_cd = true +contact_monitor = true +max_contacts_reported = 5 +script = ExtResource("1_6w8i3") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(0.2, 0, 0, 0, 0.2, 0, 0, 0, 0.2, 0, 0, 0) +shape = SubResource("SphereShape3D_qjke0") + +[node name="Cube_133" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.56997204, -0.92724174, -0.8509896) +mesh = SubResource("ArrayMesh_6w8i3") +skeleton = NodePath("") + +[connection signal="body_entered" from="." to="." method="_on_body_entered"] diff --git a/Resources/Players/astronaut_for_animation.gd b/Resources/Players/astronaut_for_animation.gd new file mode 100644 index 0000000..d71053e --- /dev/null +++ b/Resources/Players/astronaut_for_animation.gd @@ -0,0 +1,9 @@ +extends Node3D + +func _ready() -> void: + $Armature/Skeleton3D/Cube_001.mesh = load(Global.mesh_resource_player) + + if Global.balloon_collected == true: + $Balloon.visible = true + $Balloon.set_mesh(Global.resource_balloon) + diff --git a/Resources/Players/astronaut_for_animation.gd.uid b/Resources/Players/astronaut_for_animation.gd.uid new file mode 100644 index 0000000..5b459cb --- /dev/null +++ b/Resources/Players/astronaut_for_animation.gd.uid @@ -0,0 +1 @@ +uid://dre5qo5tbisfv diff --git a/Resources/Players/astronaut_for_animation.tscn b/Resources/Players/astronaut_for_animation.tscn new file mode 100644 index 0000000..58d5e18 --- /dev/null +++ b/Resources/Players/astronaut_for_animation.tscn @@ -0,0 +1,30 @@ +[gd_scene load_steps=6 format=3 uid="uid://drtpl8y1pojrc"] + +[ext_resource type="PackedScene" uid="uid://dra235mdhf5nv" path="res://assets/astronaut_gw-v2_rig.glb" id="1_qv5ss"] +[ext_resource type="Script" uid="uid://dre5qo5tbisfv" path="res://Resources/Players/astronaut_for_animation.gd" id="2_7h4jy"] +[ext_resource type="ArrayMesh" uid="uid://cnkc0coob8mu" path="res://Resources/meshes/player_uniGW2.tres" id="3_pfcjo"] +[ext_resource type="PackedScene" uid="uid://ccdju064l1xg0" path="res://Resources/Objects/balloon_collectable.tscn" id="3_t7xo6"] +[ext_resource type="PackedScene" uid="uid://dl4nljdcflehk" path="res://helper.tscn" id="4_t7xo6"] + +[node name="astronaut" instance=ExtResource("1_qv5ss")] +script = ExtResource("2_7h4jy") + +[node name="Skeleton3D" parent="Armature" index="0"] +bones/1/rotation = Quaternion(0, 0, -0.024488833, 0.9997001) +bones/3/rotation = Quaternion(7.424678e-08, 3.9001097e-08, -0.4683429, 0.8835468) +bones/5/rotation = Quaternion(2.4243334e-08, 6.898198e-08, 0.4388793, 0.89854604) +bones/7/rotation = Quaternion(-0.7071068, -2.6692543e-08, 2.6692543e-08, 0.7071068) +bones/10/rotation = Quaternion(-0.7071068, -1.5454312e-08, 1.5454312e-08, 0.7071068) + +[node name="Cube_001" parent="Armature/Skeleton3D" index="0"] +mesh = ExtResource("3_pfcjo") + +[node name="Balloon" parent="." index="2" instance=ExtResource("3_t7xo6")] +transform = Transform3D(0.49786475, -0.04615923, 0, 0.04615923, 0.49786475, 0, 0, 0, 0.5, -0.2128411, 1.5290457, -0.5337905) +visible = false + +[node name="helper" type="Node3D" parent="." index="3"] +transform = Transform3D(0.4, 0, 0, 0, 0.4, 0, 0, 0, 0.4, 0.096, 1.141, 0.538) +visible = false + +[node name="helper" parent="helper" index="0" instance=ExtResource("4_t7xo6")] diff --git a/Resources/Players/player.gd b/Resources/Players/player.gd new file mode 100644 index 0000000..edb5002 --- /dev/null +++ b/Resources/Players/player.gd @@ -0,0 +1,283 @@ +extends CharacterBody3D +class_name Player + +var speed = 5.0 +const JUMP_VELOCITY = 12 +const throw_strength = 50 +var speeds = [5.0, 2.5, 1.5, 1.0] +var animation_player_speeds = [1.5, 1.0, 0.7, 0.5] +var counter_speed := 0 + +enum PlayerMode { + NORMAL, + AIM +} + +var mode = PlayerMode.NORMAL +var xform : Transform3D +var grabbed_item : Grabbable_Object +var dialogueActive : bool +var weight: float = 5.0 + +# --- Camera --- +var camera_pitch := 0.0 +var zoom := 5.0 + +@export var min_zoom := 1 +@export var max_zoom := 10.0 +@export var zoom_speed := 0.5 +@export var min_pitch := deg_to_rad(-80) +@export var max_pitch := deg_to_rad(0) +@export var mouse_sensitivity:float = 0.0007 + +@onready var camera_3d: Camera3D = $Camera_Controller/Camera_Pivot/Camera3D +@onready var crosshair: Control = $Crosshair +@onready var spring_arm: SpringArm3D = $Camera_Controller/Camera_Pivot +@onready var interact_ray: ShapeCast3D = $InteractRay +@onready var chatbot = $Chatbot +@onready var env = $".." + +var rock_scene: PackedScene = preload("res://Resources/Objects/rock.tscn") + +signal inventory_opened +signal inventory_closed +signal chatbot_opened + +func _ready() -> void: + Input.set_mouse_mode(Input.MOUSE_MODE_CAPTURED) + + $Camera_Controller.position = position + $Armature/Skeleton3D/CharacterMesh.mesh = load(Global.mesh_resource_player) + + camera_pitch = $Camera_Controller/Camera_Pivot.rotation.x + zoom = spring_arm.spring_length + if DialogueState.currentTask > 1: + $AnimationPlayer.play('helper_visible') + if Global.balloon_collected == true: + print(Global.resource_balloon) + _on_balloon_balloon_chosen(Global.resource_balloon) + +func _process(delta: float) -> void: + if Global.chatbot_opened: + return + if Input.is_action_just_pressed("help"): + if DialogueState.is_dialogue_open == false: + DialogueState.is_dialogue_open = true + DialogueManager.show_chosen_dialogue_balloon(load("res://Interact/dialogue/helper.dialogue"), "/game_balloons/game_balloon_v_1.tscn", "start", [self, $Player/helper]) + + +func _input(event): + if event is InputEventMouseMotion and mode == PlayerMode.NORMAL: + $Camera_Controller.rotate_y(-event.relative.x * mouse_sensitivity) + + camera_pitch -= event.relative.y * mouse_sensitivity + camera_pitch = clamp(camera_pitch, min_pitch, max_pitch) + + $Camera_Controller/Camera_Pivot.rotation.x = camera_pitch + + if event is InputEventMouseButton and event.pressed: + if event.button_index == MOUSE_BUTTON_WHEEL_UP: + zoom -= zoom_speed + elif event.button_index == MOUSE_BUTTON_WHEEL_DOWN: + zoom += zoom_speed + + zoom = clamp(zoom, min_zoom, max_zoom) + spring_arm.spring_length = zoom + print(spring_arm.spring_length) + + +func _physics_process(delta: float) -> void: + if Global.chatbot_opened or $Inventory.visible: + return + dialogueActive = DialogueState.is_dialogue_open + var thisTime = Time.get_unix_time_from_system() + + # --- DROP / THROW --- + if Input.is_action_just_pressed("drop") and grabbed_item: + grabbed_item.release(self) + $AnimationPlayer.play_backwards("pickup") + play_sound('drop') + + if Input.is_action_just_pressed("throw") and grabbed_item: + grabbed_item.release(self, true) + play_sound('drop') + + elif Input.is_action_just_pressed("throw") and not grabbed_item: + if mode == PlayerMode.NORMAL: + mode = PlayerMode.AIM + Input.set_mouse_mode(Input.MOUSE_MODE_VISIBLE) + else: + mode = PlayerMode.NORMAL + Input.set_mouse_mode(Input.MOUSE_MODE_CAPTURED) + + # --- AIM THROW --- + elif Input.is_action_just_pressed("click") and mode == PlayerMode.AIM and not dialogueActive and not $Inventory.visible: + var mouse_pos = get_viewport().get_mouse_position() + + var ray_origin = camera_3d.project_ray_origin(mouse_pos) + var ray_direction = camera_3d.project_ray_normal(mouse_pos) + + var ray_length = 1000 + var space_state = get_world_3d().direct_space_state + var query = PhysicsRayQueryParameters3D.create( + ray_origin, + ray_origin + ray_direction * ray_length + ) + + query.exclude = [self] + + #Exclude Boundary Layer (Layer 7) + query.collision_mask = ~(1 << 6) + var result = space_state.intersect_ray(query) + + var target_position: Vector3 + if result.size() > 0: + target_position = result.position + else: + target_position = ray_origin + ray_direction * ray_length + + var from = global_transform.origin + Vector3(0, 1.5, 0) + var throw_direction = (target_position - from).normalized() + + var rock_instance = rock_scene.instantiate() + get_tree().current_scene.add_child(rock_instance) + + var forward_dir = -camera_3d.global_transform.basis.z.normalized() + rock_instance.global_transform.origin = from + forward_dir * 1.0 + + rock_instance.freeze = false + rock_instance.sleeping = false + rock_instance.gravity_scale = 0.0 + rock_instance.linear_velocity = throw_direction * throw_strength + + $AnimationPlayer.play("jump") + $audio_throw.play() + + # --- GRAVITY --- + if not is_on_floor(): + velocity += get_gravity() * delta + + # --- JUMP --- + if Input.is_action_just_pressed("ui_accept") and is_on_floor(): + var deltaTime = thisTime - DialogueState.time_since_dialoge_open + + if not dialogueActive and (deltaTime > 0.5): + $audio_jump.play() + velocity.y = JUMP_VELOCITY + $AnimationPlayer.stop() + $AnimationPlayer.play("jump") + await get_tree().create_timer(0.4).timeout + $AnimationPlayer.play_backwards("jump") + + # --- MOVEMENT --- + var input_dir := Input.get_vector("ui_left", "ui_right", "ui_up", "ui_down") + + if dialogueActive or $Inventory.visible: + input_dir = Vector2.ZERO + + var direction : Vector3 = ($Camera_Controller.transform.basis * Vector3(input_dir.x, 0, input_dir.y)).normalized() + + if input_dir != Vector2.ZERO: + self.rotation_degrees.y = $Camera_Controller.rotation_degrees.y - rad_to_deg(input_dir.angle()) - 90 + + # --- FLOOR ALIGN --- + if is_on_floor() and input_dir != Vector2.ZERO: + align_with_floor($RayCast3D.get_collision_normal()) + global_transform = global_transform.interpolate_with(xform, 0.3) + elif not is_on_floor(): + align_with_floor(Vector3.UP) + global_transform = global_transform.interpolate_with(xform, 0.3) + + # --- VELOCITY --- + if direction: + velocity.x = direction.x * speed + velocity.z = direction.z * speed + + if grabbed_item: + $AnimationPlayer.play("pickup_walk") + else: + $AnimationPlayer.play("walk") + else: + velocity.x = move_toward(velocity.x, 0, speed) + velocity.z = move_toward(velocity.z, 0, speed) + + move_and_slide() + + $Camera_Controller.position = lerp($Camera_Controller.position, position, 0.15) + + +func align_with_floor(floor_normal): + xform = global_transform + xform.basis.y = floor_normal + xform.basis.x = -xform.basis.z.cross(floor_normal) + xform.basis = xform.basis.orthonormalized() + + +func _on_fall_zone_body_entered(body: Node3D) -> void: + get_tree().reload_current_scene() + +func openChatBot(): + chatbot_opened.emit() + chatbot.visible = true + Global.chatbot_opened = true + chatbot._prompt_edit.grab_focus() + Input.set_mouse_mode(Input.MOUSE_MODE_VISIBLE) + env.quiet_down_music() + + +func get_weight(): + return weight + + +func _on_interact_ray_grabbed() -> void: + $AnimationPlayer.play("pickup") + +func set_mode(mode_new: String) -> void: + if mode_new == "aim": + mode = PlayerMode.AIM + Input.set_mouse_mode(Input.MOUSE_MODE_VISIBLE) + elif mode_new == "normal": + mode = PlayerMode.NORMAL + Input.set_mouse_mode(Input.MOUSE_MODE_CAPTURED) + +func toggle_inventory() -> void: + if $Inventory.visible: + $Inventory.visible = false + set_mode("normal") + inventory_closed.emit() + else: + $Inventory.visible = true + set_mode("aim") + inventory_opened.emit() + + +func _on_balloon_balloon_chosen(mesh: String) -> void: + $Balloon.visible = true + $Balloon.set_mesh(mesh) + Global.resource_balloon = mesh + Global.balloon_collected = true + +func slow_down() -> void: + if counter_speed < len(speeds)-1: + counter_speed += 1 + speed = speeds[counter_speed] + +func reset_speed() -> void: + counter_speed = 0 + speed = 5.0 + + +func _on_animation_player_animation_started(anim_name: StringName) -> void: + if anim_name == 'walk' or anim_name == 'pickup_walk': + $AnimationPlayer.speed_scale = animation_player_speeds[counter_speed] + else: + $AnimationPlayer.speed_scale = animation_player_speeds[1] + +func play_sound(sound_name: String) -> void: + if sound_name == 'pickup': + $audio_pickup.play() + elif sound_name == 'drop': + $audio_pickup.play() + +func toggle_music() -> void: + env.toggle_music() diff --git a/Resources/Players/player.gd.uid b/Resources/Players/player.gd.uid new file mode 100644 index 0000000..f7a4ba4 --- /dev/null +++ b/Resources/Players/player.gd.uid @@ -0,0 +1 @@ +uid://wxn7lwnmu4ft diff --git a/Resources/Players/player_animated.tscn b/Resources/Players/player_animated.tscn new file mode 100644 index 0000000..e654373 --- /dev/null +++ b/Resources/Players/player_animated.tscn @@ -0,0 +1,757 @@ +[gd_scene load_steps=27 format=3 uid="uid://feh8xoh78swi"] + +[ext_resource type="Script" uid="uid://wxn7lwnmu4ft" path="res://Resources/Players/player.gd" id="1_dq61c"] +[ext_resource type="ArrayMesh" uid="uid://cnkc0coob8mu" path="res://Resources/meshes/player_uniGW2.tres" id="3_gyuqh"] +[ext_resource type="PackedScene" uid="uid://dy1tmm44vfmh" path="res://Interact/interact_ray.tscn" id="3_wknd5"] +[ext_resource type="Script" uid="uid://bethfppdcwvxc" path="res://crosshair.gd" id="4_gyuqh"] +[ext_resource type="PackedScene" uid="uid://dw8bb4m4ycg7a" path="res://inventory.tscn" id="5_wknd5"] +[ext_resource type="PackedScene" uid="uid://ccdju064l1xg0" path="res://Resources/Objects/balloon_collectable.tscn" id="6_rjb0o"] +[ext_resource type="PackedScene" uid="uid://dl4nljdcflehk" path="res://helper.tscn" id="7_4r34j"] +[ext_resource type="PackedScene" uid="uid://b0nf2m2olu4jf" path="res://addons/godot_llama/demo/demo.tscn" id="8_erypk"] +[ext_resource type="AudioStream" uid="uid://dwqsonsq5vyu0" path="res://assets/Sounds/collection1/Explosions/Short/sfx_exp_short_soft11.wav" id="9_qpqd5"] +[ext_resource type="AudioStream" uid="uid://c3bxwp8pfb3cn" path="res://assets/Sounds/collection1/General Sounds/Neutral Sounds/sfx_sound_neutral1.wav" id="10_41dcx"] +[ext_resource type="AudioStream" 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+&"jump": SubResource("Animation_i5730"), +&"jump1": SubResource("Animation_4m5ha"), +&"pickup": SubResource("Animation_qw38m"), +&"pickup_walk": SubResource("Animation_5eaja"), +&"reset": SubResource("Animation_pg0cp"), +&"walk": SubResource("Animation_52h43") +} + +[sub_resource type="Animation" id="Animation_ijy7i"] +resource_name = "collect_helper_part2" +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("helper:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0.0960083, 1.1406784, 0.538002), Vector3(0.0960083, -0.08320968, 0.538002)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("helper:visible") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 1, +"values": [true, true] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_qpqd5"] +_data = { +&"collect_helper_part2": SubResource("Animation_ijy7i") +} + +[node name="Player" type="CharacterBody3D"] +collision_mask = 95 +script = ExtResource("1_dq61c") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.00389862, -0.462623, 0.104645) +shape = SubResource("BoxShape3D_uk0nh") + +[node name="Camera_Controller" type="Node3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0) +top_level = true + +[node name="Camera_Pivot" type="SpringArm3D" parent="Camera_Controller"] +transform = Transform3D(1, 0, 0, 0, 0.93358, 0.358368, 0, -0.358368, 0.93358, 0, 0, 0) +collision_mask = 2 +spring_length = 5.0 + +[node name="Camera3D" type="Camera3D" parent="Camera_Controller/Camera_Pivot"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.375, 4.596) +current = true +fov = 70.0 + +[node name="RayCast3D" type="RayCast3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -1.38872, 0) +collision_mask = 14 + +[node name="InteractRay" parent="." instance=ExtResource("3_wknd5")] +transform = Transform3D(1.17, 0, 0, 0, -5.11423e-08, -1.17, 0, 1.17, -5.11423e-08, 0, -0.382462, 0) +collision_mask = 12 +debug_shape_custom_color = Color(0.79, 0.00789999, 0.00789999, 1) + +[node name="Armature" type="Node3D" parent="."] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, 0, -1.41604, 0) + +[node name="Skeleton3D" type="Skeleton3D" parent="Armature"] +bones/0/name = "body" +bones/0/parent = -1 +bones/0/rest = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.3528, 0) +bones/0/enabled = true +bones/0/position = Vector3(0, 0.35279977, 0) +bones/0/rotation = Quaternion(0, 0, 0, 1) +bones/0/scale = Vector3(1, 1, 1) +bones/1/name = "head" +bones/1/parent = 0 +bones/1/rest = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.606169, 0) +bones/1/enabled = true +bones/1/position = Vector3(0, 0.606169, 0) +bones/1/rotation = Quaternion(0, 0, 0, 1) +bones/1/scale = Vector3(1, 1, 1) +bones/2/name = "shoulder.l" +bones/2/parent = 0 +bones/2/rest = Transform3D(-0.185149, 0.982711, -2.1179e-08, -0.982711, -0.185148, -1.12412e-07, -1.14389e-07, -1.06581e-14, 1, 0, 0.606169, 0) +bones/2/enabled = true +bones/2/position = Vector3(0, 0.606169, 0) +bones/2/rotation = Quaternion(4.4027612e-08, 3.650722e-08, -0.7697886, 0.6382989) +bones/2/scale = Vector3(1.0000005, 1.0000004, 1) +bones/3/name = "arm.l" +bones/3/parent = 2 +bones/3/rest = Transform3D(0.639711, 0.768615, 1.52624e-08, -0.768616, 0.639711, -1.55777e-07, -1.29496e-07, 8.79214e-08, 1, 2.6077e-08, 0.291873, 4.88498e-15) +bones/3/enabled = true +bones/3/position = Vector3(2.6077e-08, 0.291873, 4.88498e-15) +bones/3/rotation = Quaternion(0.27435496, -0.3806172, -0.37481663, 0.79960763) +bones/3/scale = Vector3(1.0000004, 0.99999964, 1) +bones/4/name = "shoulder.r" +bones/4/parent = 0 +bones/4/rest = Transform3D(-0.176299, -0.984337, 2.32732e-08, 0.984337, -0.176299, -1.29942e-07, 1.3201e-07, -1.42109e-14, 1, 0, 0.606169, 0) +bones/4/enabled = true +bones/4/position = Vector3(0, 0.606169, 0) +bones/4/rotation = Quaternion(5.0619818e-08, -4.235909e-08, 0.76690906, 0.6417558) +bones/4/scale = Vector3(1.0000002, 1.0000002, 1) +bones/5/name = "arm.r" +bones/5/parent = 4 +bones/5/rest = Transform3D(0.638308, -0.769781, 1.45754e-07, 0.769781, 0.638308, 1.65745e-08, -1.05794e-07, 1.01619e-07, 1, 2.23517e-08, 0.282945, -5.32907e-15) +bones/5/enabled = true +bones/5/position = Vector3(2.23517e-08, 0.282945, -5.32907e-15) +bones/5/rotation = Quaternion(-0.15459529, -0.21817008, 0.40977547, 0.872116) +bones/5/scale = Vector3(0.99999994, 0.99999994, 1) +bones/6/name = "hip.l" +bones/6/parent = -1 +bones/6/rest = Transform3D(0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0.3528, 0) +bones/6/enabled = true +bones/6/position = Vector3(0, 0.35279977, 0) +bones/6/rotation = Quaternion(0.5, 0.5, 0.5, -0.5) +bones/6/scale = Vector3(1, 1, 1) +bones/7/name = "upper_leg.l" +bones/7/parent = 6 +bones/7/rest = Transform3D(1, 0, -7.54979e-08, 7.54979e-08, 0, 1, 0, -1, 0, 0, 0.16212, 0) +bones/7/enabled = true +bones/7/position = Vector3(0, 0.16212, 0) +bones/7/rotation = Quaternion(-0.6059587, 0.3644366, 0.3644366, 0.6059587) +bones/7/scale = Vector3(1, 1, 1) +bones/8/name = "lower_leg.l" +bones/8/parent = 7 +bones/8/rest = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.103923, 0) +bones/8/enabled = true +bones/8/position = Vector3(0, 0.103923, 0) +bones/8/rotation = Quaternion(0, 0, 0, 1) +bones/8/scale = Vector3(1, 1, 1) +bones/9/name = "hip.r" +bones/9/parent = -1 +bones/9/rest = Transform3D(0, -1, 0, 0, 0, 1, -1, 0, 0, 0, 0.3528, 0) +bones/9/enabled = true +bones/9/position = Vector3(0, 0.35279977, 0) +bones/9/rotation = Quaternion(0.5, -0.5, -0.5, -0.5) +bones/9/scale = Vector3(1, 1, 1) +bones/10/name = "upper_leg.r" +bones/10/parent = 9 +bones/10/rest = Transform3D(1, 0, -4.37114e-08, 4.37114e-08, 0, 1, 0, -1, 0, 0, 0.145492, 0) +bones/10/enabled = true +bones/10/position = Vector3(0, 0.145492, 0) +bones/10/rotation = Quaternion(-0.66778064, 0.23252751, 0.23252754, 0.66778064) +bones/10/scale = Vector3(1, 1, 1) +bones/11/name = "lower_leg.r" +bones/11/parent = 10 +bones/11/rest = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.10808, 0) +bones/11/enabled = true +bones/11/position = Vector3(0, 0.10808, 0) +bones/11/rotation = Quaternion(0, 0, 0, 1) +bones/11/scale = Vector3(1, 1, 1) +bones/12/name = "neutral_bone" +bones/12/parent = -1 +bones/12/rest = Transform3D(1, 0, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0) +bones/12/enabled = true +bones/12/position = Vector3(0, 0, 0) +bones/12/rotation = Quaternion(-0.70710677, 0, 0, 0.70710677) +bones/12/scale = Vector3(1, 1, 1) + +[node name="CharacterMesh" type="MeshInstance3D" parent="Armature/Skeleton3D"] +mesh = ExtResource("3_gyuqh") +skin = SubResource("Skin_gyuqh") + +[node name="Crosshair" type="Control" parent="."] +layout_mode = 3 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -20.0 +offset_top = -20.0 +offset_right = 20.0 +offset_bottom = 20.0 +grow_horizontal = 2 +grow_vertical = 2 +script = ExtResource("4_gyuqh") +metadata/_edit_use_anchors_ = true + +[node name="Horizontal" type="Line2D" parent="Crosshair"] +points = PackedVector2Array(-15, 0, 15, 0) +width = 2.0 + +[node name="Vertical" type="Line2D" parent="Crosshair"] +points = PackedVector2Array(0, -15, 0, 15) +width = 2.0 + +[node name="Inventory" parent="." instance=ExtResource("5_wknd5")] +visible = false + +[node name="Balloon" parent="." instance=ExtResource("6_rjb0o")] +transform = Transform3D(0.6970959, 0.06369831, 0, -0.06369831, 0.6970959, 0, 0, 0, 0.70000005, 0.2608546, 0.32857847, 0.54166865) +visible = false + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_pj205") +} + +[node name="helper" type="Node3D" parent="."] +transform = Transform3D(0.4, 0, 0, 0, 0.4, 0, 0, 0, 0.4, 0.096, 1.141, 0.538) +visible = false + +[node name="helper" parent="helper" instance=ExtResource("7_4r34j")] + +[node name="Chatbot" parent="." instance=ExtResource("8_erypk")] +visible = false + +[node name="audio_throw" type="AudioStreamPlayer" parent="."] +stream = ExtResource("9_qpqd5") +volume_db = -3.0 + +[node name="audio_pickup" type="AudioStreamPlayer" parent="."] +stream = ExtResource("10_41dcx") +volume_db = -7.0 + +[node name="AnimationPlayer2" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_qpqd5") +} + +[node name="audio_jump" type="AudioStreamPlayer" parent="."] +stream = ExtResource("11_a75tr") +volume_db = -8.0 + +[connection signal="grabbed" from="InteractRay" to="." method="_on_interact_ray_grabbed"] +[connection signal="animation_started" from="AnimationPlayer" to="." method="_on_animation_player_animation_started"] diff --git a/Resources/Terrains/assets.tscn b/Resources/Terrains/assets.tscn new file mode 100644 index 0000000..05dd0b1 --- /dev/null +++ b/Resources/Terrains/assets.tscn @@ -0,0 +1,5 @@ +[gd_scene load_steps=2 format=3 uid="uid://b4mmlt4progvd"] + +[ext_resource type="PackedScene" uid="uid://cg6wf4m1u7anr" path="res://assets/assets.glb" id="1_nyoif"] + +[node name="assets" instance=ExtResource("1_nyoif")] diff --git a/Resources/Terrains/chip/terrain3d-01_00.res b/Resources/Terrains/chip/terrain3d-01_00.res new file mode 100644 index 0000000..1e040bf Binary files /dev/null and b/Resources/Terrains/chip/terrain3d-01_00.res differ diff --git a/Resources/Terrains/chip/terrain_chip.gd b/Resources/Terrains/chip/terrain_chip.gd new file mode 100644 index 0000000..2e6bdd7 --- /dev/null +++ b/Resources/Terrains/chip/terrain_chip.gd @@ -0,0 +1,266 @@ +extends Node3D + +const count_battery_boxes = 4 +var currently_charged_battery_boxes := 0 +signal show_door +@onready var aliens = $"npcs/aliens" +@onready var batteries = $"Objects/Balloons_A2" +@onready var chatbot: Control = $npcs/helpers/Chatbot +var aliens_start_count: int +var batteries_start_count: int +var helper_collected = false +var not_congratulated_1 = true +var not_congratulated_2 = true +var release_generators = false +var popped_balloons := 0 +var current_task := 0 +var current_text: String +var rabbit_activated = false +var audio_playing = true +@onready var checkpoints = [$startpoint, + $Objects/pressure_blocks/PressureBlock_A1, + $Objects/pressure_blocks/PressureBlock_A2, + $Objects/pressure_blocks/PressureBlock_A3, + $Objects/pressure_blocks/PressureBlock_A3_1, + ] +@onready var generators = $Objects/generators + +func _ready() -> void: + aliens_start_count = aliens.get_child_count() + batteries_start_count = batteries.get_child_count() + +func _process(delta: float) -> void: + if Global.chatbot_opened: + return + if Input.is_action_just_pressed("Screenshot"): + take_screenshot() + if Input.is_action_just_pressed("fast_forward"): + current_task = (current_task + 1 ) % len(checkpoints) + print(current_task, checkpoints[current_task].position) + $Player.position = checkpoints[current_task].position + Vector3(0.0, 0.5, 0.0) + if Input.is_action_just_pressed("rewind"): + current_task = (current_task - 1 ) % len(checkpoints) + $Player.position = checkpoints[current_task].position + if Input.is_action_just_pressed("inventory"): + if current_task == 3: + $Player.toggle_inventory() + if current_task == 4 and Input.is_action_just_pressed("keypad"): + reset_music_volume() + $Keypad.visible = true + $Hilfestellung/CanvasLayer.visible = false + $Player.set_mode('aim') + + if not_congratulated_1 and aliens.get_child_count() <= aliens_start_count-5: + not_congratulated_1 = false + show_congratulations("Glückwunsch! + Die erste Aufgabe ist geschafft.", "Definitionen von KI") + + +func show_congratulations(text, text_2) -> void: + print(text) + $Player/helper/helper.celebrate() + $Hilfestellung/CanvasLayer.visible = false + $Congratulations/CanvasLayer/Panel/Label.text = text + $Congratulations/CanvasLayer.visible = true + $Congratulations/CanvasLayer/Panel/Label_repeat.text = "(Um die "+ text_2 + " noch einmal nachzulesen, sprechen Sie mit ihrem Helfer)" + await get_tree().create_timer(5.0).timeout + $Player/helper/helper.stop_anim() + $Congratulations/CanvasLayer.visible = false + +func openLinkinBrowser(link): + OS.shell_open(link) + +func openAIActinBrowser(): + openLinkinBrowser("https://eur-lex.europa.eu/legal-content/DE/TXT/?uri=CELEX:32024R1689") + +func openDSGVOinBrowser(): + openLinkinBrowser("https://dsgvo-gesetz.de/") + +func _on_openChatBot(): + $Hilfestellung/CanvasLayer.visible = false + $HUD.visible = false + quiet_down_music() + + + +func _on_battery_box_removed_battery() -> void: + currently_charged_battery_boxes -= 1 + print(currently_charged_battery_boxes) + + +func _on_show_door() -> void: + print('showing door') + $Objects/spaceship/Door.visible = true + $Objects/spaceship/Door.position.y = 0.012 + $Objects/spaceship/door_cover/CollisionShape3D.disabled = true + + +func _on_door_body_entered(body: Node3D) -> void: + if $Objects/spaceship/Door.visible: + DialogueState.currentTask = 5 + Transition.change_scene("res://quiz.tscn") + + +func _on_pressure_block_a3_activated() -> void: + quiet_down_music() + $Objects/pressure_blocks/PressureBlock_A3.current_weight = 10.0 + DialogueManager.show_chosen_dialogue_balloon(load($Objects/pressure_blocks/PressureBlock_A3.text_on_activation), "/game_balloons/game_balloon_v_2.tscn", "start") + + +func _on_pressure_block_a_1_activated() -> void: + current_task = 1 + DialogueState.currentTask = 1 + current_text = "[Enter] oder [t] drücken, um mit den Aliens zu reden" + $Hinweistexte/CanvasLayer/Panel/Label.text = "Wenn Sie weiterlaufen werden Ihnen einige Aliens begegnen. Sprechen Sie mit ihnen, um verschiedene Definitionen von Künstlicher Intelligenz (KI) kennenzulernen." + $Hinweistexte/CanvasLayer.visible = true + if $Tutorial: + $Tutorial.queue_free() + if $Objects/Bridges/walls_tutorial: + $Objects/Bridges/walls_tutorial.queue_free() + if $Objects/Chip0/block: + $Objects/Chip0/block.queue_free() + + +func _on_pressure_block_a_2_activated() -> void: + current_task = 2 + current_text = "Zielen mit der Maus, Klicken zum Werfen, [r] zum Wechsel zwischen Wurf- und Kameramodus" + $Hinweistexte/CanvasLayer/Panel/Label.text = "Laufen Sie weiter zur Wurfzone. + Dort angekommen, können Sie die Ballons abwerfen, um zu entdecken, in was für Systemen KI bereits eingesetzt wird bzw. werden kann. + Sammeln Sie danach die Batterien, Sie werden sie im weiteren Verlauf benötigen. + Zur Erinnerung: Zielen mit der Maus (Fadenkreuz) und Werfen durch Klicken. Wenn Sie kein Fadenkreuz sehen, evtl. [r] drücken, um den Modus zu wechseln." + $Hinweistexte/CanvasLayer.visible = true + + +func _on_pressure_block_deactivated() -> void: + $Hinweistexte/CanvasLayer.visible = false + $Hilfestellung/CanvasLayer/Panel/Label.text = current_text + $Hilfestellung/CanvasLayer.visible = true + + +func _on_pressure_block_a_3_1_activated() -> void: + reset_music_volume() + current_task = 3 + DialogueState.currentTask = 3 + current_text = "Auswahl der Batterien im Inventar [c], Einfügen mit [f] - ([e] zum wieder rausholen, [q] ablegen)" + $Objects/pressure_blocks/PressureBlock_A3_1.current_weight = 10.0 + $AnimationPlayer.play("start_ordering_game") + _on_pressure_block_deactivated() + + +func _on_balloon_tree_exited() -> void: + popped_balloons += 1 + if popped_balloons == Global.TOTAL_BALLOONS_A2 and current_task == 2: + not_congratulated_2 = false + DialogueState.batteriesFlag = true + show_congratulations("Glückwunsch! + Die 2. Aufgabe ist geschafft.", "KI-Systeme") + $Objects/arrows/after_throw.visible = true + $Objects/Fences/no_arrows/barrier_throw.position.x = 4.0 + $Hilfestellung/CanvasLayer/Panel/Label.text = "Sammeln Sie die Batterien auf (durch Vorbeilaufen) - einen Counter dazu sehen Sie oben links" + $Hilfestellung/CanvasLayer.visible = true + + +func _on_pressure_block_a_4_activated() -> void: + quiet_down_music() + current_task = 4 + DialogueState.currentTask = 4 + DialogueState.personalDataFlag = true + $Objects/spaceship/keypad.visible = true + current_text = "[k] drücken zum Starten des nächsten Minispiels" + $Hilfestellung/CanvasLayer.visible = true + $Objects/pressure_blocks/PressureBlock_A4.current_weight = 10.0 + DialogueManager.show_chosen_dialogue_balloon(load($Objects/pressure_blocks/PressureBlock_A4.text_on_activation), "/game_balloons/game_balloon_v_2.tscn", "start") + _on_pressure_block_deactivated() + + +func _on_keypad_game_finished() -> void: + $Keypad.visible = false + $Objects/spaceship/keypad.visible = false + $Hilfestellung/CanvasLayer/Panel/Label.text = "Gehen Sie durch die Tür ins Raumschiff" + $Hilfestellung/CanvasLayer.visible = true + show_door.emit() + + +func _on_battery_3_battery_collected() -> void: + $Player/helper.visible = true + #TODO implement if helper should replace battery 3 (since it's also a chatbot) + + +func _on_animation_player_animation_finished(anim_name: StringName) -> void: + if anim_name == "collect_helper_part1": + $Player/AnimationPlayer2.play("collect_helper_part2") + if anim_name == 'follow_rabbit': + $AnimationPlayer.play('rotate_label') + if anim_name == "ordering_finished": + generators.queue_free() + show_congratulations("Glückwunsch! + Die 3. Aufgabe ist geschafft.", "Risikostufen von KI") + $Objects/pressure_blocks/PressureBlock_A4.position = Vector3(-87.26, 3.787, 209.9) + + +func _on_helper_corner_dialogue_finished() -> void: + if not helper_collected: + $AnimationPlayer.play("collect_helper_part1") + $npcs/helpers/helper_corner/CollisionShape3D.disabled = true + helper_collected = true + $Objects/chip1/star.queue_free() + + +func _on_battery_box_fully_charged() -> void: + currently_charged_battery_boxes += 1 + print('currently charged boxes: ', currently_charged_battery_boxes) + if currently_charged_battery_boxes == count_battery_boxes: + print('all boxes are full') + await get_tree().create_timer(1.5).timeout + $AnimationPlayer.play("ordering_finished") + $Objects/Chip0/Arrows_A4.visible = true + + +func _on_player_inventory_opened() -> void: + $Hilfestellung/CanvasLayer.visible = false + $HUD.visible = false + + +func _on_player_inventory_closed() -> void: + $Hilfestellung/CanvasLayer.visible = true + $HUD.visible = true + + +func _on_balloon_popped(balloon: Balloon) -> void: + $Player/helper/helper.play_small_celebration() + + +func _on_chatbot_closing_chatbot() -> void: + if current_task > 0: + $HUD.visible = true + $Hilfestellung/CanvasLayer.visible = true + reset_music_volume() + +func take_screenshot(): + print('taking screenshot') + var image = get_viewport().get_texture().get_image() + image.save_png("user://screenshot"+Time.get_datetime_string_from_system()+".png") + + +func _on_start_rabbit_body_entered(body: Node3D) -> void: + if not rabbit_activated: + $AnimationPlayer.play('follow_rabbit') + rabbit_activated = true + +func quiet_down_music() -> void: + $AudioStreamPlayer.volume_db = -20.0 + +func reset_music_volume() -> void: + $AudioStreamPlayer.volume_db = -10.0 + +func toggle_music() -> void: + if not audio_playing: + audio_playing = true + $AudioStreamPlayer.play() + else: + $AudioStreamPlayer.stop() + audio_playing = false + + +func _on_audio_stream_player_finished() -> void: + $AudioStreamPlayer.play() diff --git a/Resources/Terrains/chip/terrain_chip.gd.uid b/Resources/Terrains/chip/terrain_chip.gd.uid new file mode 100644 index 0000000..2737099 --- /dev/null +++ b/Resources/Terrains/chip/terrain_chip.gd.uid @@ -0,0 +1 @@ +uid://d0lyomtjfroou diff --git a/Resources/Terrains/chip/terrain_chip.tscn b/Resources/Terrains/chip/terrain_chip.tscn new file mode 100644 index 0000000..be14535 --- /dev/null +++ b/Resources/Terrains/chip/terrain_chip.tscn @@ -0,0 +1,4736 @@ +[gd_scene load_steps=179 format=4 uid="uid://dridtudoqj46p"] + +[ext_resource type="Script" uid="uid://d0lyomtjfroou" path="res://Resources/Terrains/chip/terrain_chip.gd" id="1_4adqp"] +[ext_resource type="Terrain3DMaterial" uid="uid://dtdjnbbnpdyqg" path="res://Resources/Terrains/chip/terrain_chip001_material.tres" id="1_vq16m"] +[ext_resource type="Terrain3DAssets" uid="uid://6rwp0fbsgxt0" path="res://Resources/Terrains/chip/terrain_chip001_assets.tres" id="2_k3ert"] +[ext_resource type="PackedScene" uid="uid://cbiyc2os4l2le" path="res://Resources/Objects/fence_left.tscn" id="4_cqscc"] +[ext_resource type="PackedScene" uid="uid://feh8xoh78swi" path="res://Resources/Players/player_animated.tscn" id="4_d172s"] +[ext_resource type="PackedScene" uid="uid://colupirc5jxy7" path="res://Resources/Objects/balloon.tscn" id="4_k3ert"] +[ext_resource type="PackedScene" uid="uid://bpjqsditshpyd" path="res://Resources/Objects/arrow.tscn" id="4_yahjh"] +[ext_resource type="PackedScene" uid="uid://78ini7csghyn" path="res://Resources/Objects/fence_right.tscn" id="5_sbveb"] +[ext_resource type="PackedScene" uid="uid://dl4nljdcflehk" path="res://helper.tscn" id="5_uctae"] +[ext_resource type="PackedScene" uid="uid://8dvcdba7m4uo" path="res://Resources/Objects/battery_2.tscn" id="7_sbveb"] +[ext_resource type="PackedScene" uid="uid://3gm370vmvf03" path="res://hud.tscn" id="8_b2x1k"] +[ext_resource type="PackedScene" uid="uid://cq0h8h7icvfe0" 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SDL9AN9u/rU30QKjGq75AN9u/h/72QO93Ir/e7Ki/rU30QKjGq77e7Ki/h/72QO93Ir9AN9u/ydPwQNV0eL5AN9u//T77QHvRNL/e7Ki/ydPwQNV0eL7e7Ki//T77QHvRNL9AN9u/wWnrQO38LL5AN9u/AM4AQUYUQb/e7Ki/wWnrQO38LL7e7Ki/9n3hQJunJL5AN9u/9n3hQJunJL7e7Ki/AM4AQUYUQb9AN9u/xY4EQXliRb/e7Ki/xY4EQXliRb9AN9u/xY4EQc5pTsDe7Ki/xY4EQc5pTsBAN9u/UYD1QLN74L7PaW+/UYD1QM7SDL8K1Qq/UYD1QLN74L4K1Qq/UYD1QM7SDL/PaW+/rU30QKjGq77PaW+/h/72QO93Ir8K1Qq/rU30QKjGq74K1Qq/h/72QO93Ir/PaW+/ydPwQNV0eL7PaW+//T77QHvRNL8K1Qq/ydPwQNV0eL4K1Qq//T77QHvRNL/PaW+/wWnrQO38LL7PaW+/AM4AQUYUQb8K1Qq/wWnrQO38LL4K1Qq/9n3hQJunJL7PaW+/9n3hQJunJL4K1Qq/AM4AQUYUQb/PaW+/xY4EQXliRb8K1Qq/xY4EQXliRb/PaW+/xY4EQc5pTsAK1Qq/xY4EQc5pTsDPaW+/UYD1QLN74L4FUrhAUYD1QM7SDL+e5MRAUYD1QLN74L6e5MRAUYD1QM7SDL8FUrhArU30QKjGq74FUrhAh/72QO93Ir+e5MRArU30QKjGq76e5MRAh/72QO93Ir8FUrhAydPwQNV0eL4FUrhA/T77QHvRNL+e5MRAydPwQNV0eL6e5MRA/T77QHvRNL8FUrhAwWnrQO38LL4FUrhAAM4AQUYUQb+e5MRAwWnrQO38LL6e5MRA9n3hQJunJL4FUrhA9n3hQJunJL6e5MRAAM4AQUYUQb8FUrhAxY4EQXliRb+e5MRAxY4EQXliRb8FUrhAxY4EQc5pTsCe5MRAxY4EQc5pTsAFUrhA+mz1wLJ74L4LNJs+Mon1wM7SDL84zre9Mon1wLJ74L44zre9+mz1wM7SDL8LNJs+VDr0wKfGq74ACZs+aAf3wO53Ir+Z97a9lFb0wKfGq75neri9Kev2wO53Ir+zaZs+ecDwwNR0eL4VjJo+0Ef7wHrRNL9ylLS9uNzwwNR0eL4Obrq9lCv7wHrRNL99Apw+flbrwOz8LL6FyZk+YtIAwUUUQb+/AbG9v3LrwOz8LL5TeL290GrhwJqnJL79ZJg+C4fhwJqnJL5sCsO9Q8QAwUUUQb8r55w+HpMEwXhiRb/Jyqy9AIUEwXhiRb/o9J0+HpMEwcxpTsDJyqy9AIUEwcxpTsDo9J0+1qT1wLJ74L570fK+F8H1wM7SDL+M/F2/F8H1wLJ74L6M/F2/1qT1wM7SDL970fK+NXL0wKfGq76H/PK+Rj/3wO53Ir+z4V2/cY70wKfGq74MEl6/CiP3wO53Ir/Wm/K+WvjwwNR0eL5yefO+sX/7wHrRNL9QlV2/lhTxwNR0eL6FUF6/dWP7wHrRNL8KA/K+YY7rwOz8LL4DPPS+U+4AwUUUQb/3Il2/m6rrwOz8LL7LsV6/rqLhwJqnJL6JoPW+7L7hwJqnJL4RZF+/MuAAwUUUQb9aHvG+Da8EwXhiRb8bnFy/8KAEwXhiRb+iEPC+Da8EwcxpTsAbnFy/8KAEwcxpTsCiEPC+69n1wLJ74L4UPJu/KPb1wM7SDL/6hc2/KPb1wLJ74L76hc2/69n1wM7SDL8UPJu/TKf0wKfGq77WRpu/WXT3wO53Ir+PeM2/hsP0wKfGq767kM2/IVj3wO53Ir+rLpu/cS3xwNR0eL4QZpu/xrT7wHrRNL9dUs2/q0nxwNR0eL72r82/h5j7wHrRNL93CJu/dsPrwOz8LL62lpu/2wgBwUUUQb8wGc2/st/rwOz8LL6a4M2/w9fhwJqnJL7X75u/APThwJqnJL6+Oc6/vPoAwUUUQb9Lz5q/mckEwXhiRb/D1cy/ebsEwXhiRb/ei5q/mckEwcxpTsDD1cy/ebsEwcxpTsDei5q/BA/2wLJ74L7Lw/m/Piv2wM7SDL/XBhbAPiv2wLJ74L7XBhbABA/2wM7SDL/Lw/m/Xtz0wKfGq76Mzvm/bqn3wO53Ir8iABbAnfj0wKfGq747DBbAMY33wO53Ir9gtvm/gWLxwNR0eL7H7fm/2On7wHrRNL8K7RXAwH7xwNR0eL7VGxbAns37wHrRNL8tkPm/iPjrwOz8LL5qHvq/ZiMBwUUUQb900BXAxxTswOz8LL4pNBbA2gziwJqnJL6Md/q/FSniwJqnJL67YBbASBUBwUUUQb8EV/m/IuQEwXhiRb+7rhXABNYEwXhiRb+UE/m/IuQEwcxpTsC7rhXABNYEwcxpTsCUE/m/E0T2wLJ74L7BJSzAVWD2wM7SDL+ySkXAVWD2wLJ74L6ySkXAE0T2wM7SDL/BJSzAcxH1wKfGq74hKyzAg973wO53Ir/+Q0XAsS31wKfGq74VUEXASML3wO53Ir8KHyzAlpfxwNR0eL6/OizA7x78wHrRNL/lMEXA1LPxwNR0eL6xX0XAtQL8wHrRNL/xCyzAny3swOz8LL4RUyzA8D0BwUUUQb9PFEXA2UnswOz8LL4CeEXA7EHiwJqnJL6gfyzAK17iwJqnJL6UpEXA0C8BwUUUQb9c7yvArf4EwXhiRb+Y8kTAkPAEwXhiRb+jzSvArf4EwcxpTsCY8kTAkPAEwcxpTsCjzSvAJ3n2wLJ74L6baVvAZpX2wM7SDL+QjnTAZpX2wLJ74L6QjnTAJ3n2wM7SDL+baVvAjEb1wKfGq77+blvAmBP4wO53Ir/Yh3TAxmL1wKfGq77wk3TAXff3wO53Ir/mYlvAr8zxwNR0eL6aflvABlT8wHrRNL/AdHTA6ejxwNR0eL6Qo3TAxjf8wHrRNL/PT1vAsmLswOz8LL7sllvAelgBwUUUQb8oWHTA7n7swOz8LL7eu3TAAXfiwJqnJL5+w1vAP5PiwJqnJL5w6HTAW0oBwUUUQb82M1vAOBkFwXhiRb9zNnTAGAsFwXhiRb9/EVvAOBkFwcxpTsBzNnTAGAsFwcxpTsB/EVvAQa72wLJ74L67VoXAe8r2wM7SDL8z6ZHAe8r2wLJ74L4z6ZHAQa72wM7SDL+7VoXAnXv1wKfGq75rWYXArkj4wO53Ir/Z5ZHA3Zf1wKfGq77l65HAcCz4wO53Ir9jU4XAwQHywNR0eL47YYXAFon8wHrRNL9N3JHA/h3ywNR0eL6z85HA3Gz8wHrRNL/USYXAxZfswOz8LL5ibYXABnMBwUUUQb8BzpHABbTswOz8LL7b/5HAF6ziwJqnJL6sg4XAUsjiwJqnJL4kFpLA52QBwUUUQb+JO4XAwTMFwXhiRb8mvZHAoyUFwXhiRb+sKoXAwTMFwcxpTsAmvZHAoyUFwcxpTsCsKoXAIeb2wLJ74L4TN57AXgL3wM7SDL+MyarAXgL3wLJ74L6MyarAIeb2wM7SDL8TN57Af7P1wKfGq77EOZ7Ai4D4wO53Ir8xxqrAuc/1wKfGq74/zKrAUWT4wO53Ir+4M57ApDnywNR0eL6SQZ7A98D8wHrRNL+lvKrA3lXywNR0eL4L1KrAu6T8wHrRNL8rKp7Ap8/swOz8LL68TZ7A9o4BwUUUQb9crqrA4+vswOz8LL414KrA9OPiwJqnJL4FZJ7AMwDjwJqnJL5+9qrA1oABwUUUQb/jG57Ask8FwXhiRb+AnarAlEEFwXhiRb8GC57Ask8FwcxpTsCAnarAlEEFwcxpTsAGC57AisHzwLJ74L6o/sdAyd3zwM7SDL8wbLtAyd3zwLJ74L4wbLtAisHzwM7SDL+o/sdA7Y7ywKfGq774+8dA/Vv1wO53Ir+Kb7tAKavywKfGq75/abtAwj/1wO53Ir8BAshAEBXvwNR0eL4p9MdAZ5z5wHrRNL8WebtATDHvwNR0eL6xYbtAKoD5wHrRNL+OC8hAFqvpwOz8LL4B6MdAU/n/wEUUQb9hh7tAU8fpwOz8LL6HVbtAZL/fwJqnJL640cdAn9vfwJqnJL4+P7tAGd3/wEUUQb/aGchAab0DwXhiRb89mLtASq8DwXhiRb+2KshAab0DwcxpTsA9mLtASq8DwcxpTsC2KshAbfnzwLJ74L5PHq9ApxX0wM7SDL/Wi6JApxX0wLJ74L7Wi6JAbfnzwM7SDL9PHq9Ay8bywKfGq76eG69A25P1wO53Ir8yj6JACePywKfGq74kiaJAnnf1wO53Ir+qIa9A8EzvwNR0eL7QE69ARdT5wHrRNL+9mKJALWnvwNR0eL5XgaJABbj5wHrRNL84K69A9eLpwOz8LL6mB69AnBgAwUUUQb8Gp6JANP/pwOz8LL4sdaJAQ/ffwJqnJL5e8a5AghPgwJqnJL7kXqJAfgoAwUUUQb+BOa9AWNkDwXhiRb/it6JAOMsDwXhiRb9dSq9AWNkDwcxpTsDit6JAOMsDwcxpTsBdSq9Agi70wLJ74L5hfJdAvkr0wM7SDL/p6YpAvkr0wLJ74L7p6YpAgi70wM7SDL9hfJdA3PvywKfGq76yeZdA7sj1wO53Ir9C7YpAHBjzwKfGq74554pAr6z1wO53Ir+8f5dAAYLvwNR0eL7icZdAVgn6wHrRNL/O9opAQZ7vwNR0eL5p34pAHO35wHrRNL9JiZdACBjqwOz8LL65ZZdAJzMAwUUUQb8bBYtARjTqwOz8LL5B04pAVyzgwJqnJL5xT5dAlUjgwJqnJL75vIpACCUAwUUUQb+Ul5dA4fMDwXhiRb/3FYtAxOUDwXhiRb9vqJdA4fMDwcxpTsD3FYtAxOUDwcxpTsBvqJdAlGP0wLJ74L7ntH9A03/0wM7SDL/1j2ZA03/0wLJ74L71j2ZAlGP0wM7SDL/ntH9A9zDzwKfGq76Hr39ABf71wO53Ir+tlmZAM03zwKfGq76VimZAyOH1wO53Ir+Zu39AGrfvwNR0eL7on39Acz76wHrRNL/FqWZAWNPvwNR0eL74emZAMiL6wHrRNL+yzn9AH03qwOz8LL6ah39AsE0AwUUUQb9cxmZAW2nqwOz8LL6mYmZAbmHgwJqnJL4JW39AqX3gwJqnJL4WNmZAkj8AwUUUQb9L639Abw4EwXhiRb8T6GZATwAEwXhiRb+DBoBAbw4EwcxpTsAT6GZATwAEwcxpTsCDBoBAq5j0wLJ74L4OcVBA5bT0wM7SDL8dTDdA5bT0wLJ74L4dTDdAq5j0wM7SDL8OcVBACmbzwKfGq76ua1BAGzP2wO53Ir/RUjdASILzwKfGq766RjdA3Rb2wO53Ir/Dd1BAL+zvwNR0eL4QXFBAg3P6wHrRNL/qZTdAbQjwwNR0eL4fNzdARVf6wHrRNL/cilBAMoLqwOz8LL6/Q1BAO2gAwUUUQb+AgjdAcp7qwOz8LL7LHjdAgJbgwJqnJL4tF1BAv7LgwJqnJL458jZAHVoAwUUUQb9zp1BA9ygEwXhiRb84pDdA2BoEwXhiRb8pyVBA9ygEwcxpTsA4pDdA2BoEwcxpTsApyVBAws30wLJ74L4zLSFA/en0wM7SDL9BCAhA/en0wLJ74L5BCAhAws30wM7SDL8zLSFAIJvzwKfGq77TJyFALmj2wO53Ir/1DghAW7fzwKfGq77gAghA8kv2wO53Ir/qMyFARSHwwNR0eL41GCFAlKj6wHrRNL8QIghAgD3wwNR0eL5D8wdAXoz6wHrRNL8DRyFASLfqwOz8LL7i/yBAxoIAwUUUQb+kPghAg9PqwOz8LL7y2gdAlsvgwJqnJL5T0yBA0+fgwJqnJL5grgdAp3QAwUUUQb+XYyFAgEMEwXhiRb9cYAhAZTUEwXhiRb9QhSFAgEMEwcxpTsBcYAhAZTUEwcxpTsBQhSFA0wL1wLJ74L6y0uM/Ex/1wM7SDL/NiLE/Ex/1wLJ74L7NiLE/0wL1wM7SDL+y0uM/N9DzwKfGq77vx+M/Q532wO53Ir83lrE/cezzwKfGq74NfrE/B4H2wO53Ir8b4OM/WFbwwNR0eL60qOM/r936wHrRNL9ovLE/lXLwwNR0eL7PXrE/b8H6wHrRNL9OBuQ/X+zqwOz8LL4PeOM/T50AwUUUQb+V9bE/mQjrwOz8LL4rLrE/rADhwJqnJL7wHuM/6BzhwJqnJL4K1bA/MY8AwUUUQb94P+Q/Dl4EwXhiRb8FObI/7k8EwXhiRb/pguQ/Dl4EwcxpTsAFObI/7k8EwcxpTsDpguQ/tTr1wLJ74L5RUYA/8Fb1wM7SDL/bDhw/8Fb1wLJ74L7bDhw/tTr1wM7SDL9RUYA/EQj0wKfGq76PRoA/JtX2wO53Ir+uKRw/UiT0wKfGq75W+Rs/5bj2wO53Ir+8XoA/N47wwNR0eL5VJ4A/jhX7wHrRNL8Tdhw/earwwNR0eL7guhs/Tfn6wHrRNL/uhIA/PCTrwOz8LL5i7X8/QLkAwUUUQb9r6Bw/fEDrwOz8LL6XWRs/izjhwJqnJL4aO38/yVThwJqnJL5Vpxo/I6sAwUUUQb8avoA//HkEwXhiRb9Ibx0/3WsEwXhiRb+JAYE//HkEwcxpTsBIbx0/3WsEwcxpTsCJAYE/5hv3wLJ74L7TKLbAJTj3wM7SDL9Lu8LAJTj3wLJ74L5Lu8LA5hv3wM7SDL/TKLbARun1wKfGq76DK7bAVrb4wO53Ir/xt8LAgQX2wKfGq776vcLAGpr4wO53Ir93JbbAaW/ywNR0eL5TM7bAwfb8wHrRNL9krsLApovywNR0eL7KxcLAhtr8wHrRNL/rG7bAbwXtwOz8LL57P7bA2akBwUUUQb8YoMLAqSHtwOz8LL7y0cLAvRnjwJqnJL7EVbbA+zXjwJqnJL466MLAupsBwUUUQb+gDbbAl2oFwXhiRb89j8LAeVwFwXhiRb/F/LXAl2oFwcxpTsA9j8LAeVwFwcxpTsDF/LXADNhMPrJ74L6uiPVA4nlFvs7SDL+mefVA4nlFvrJ74L6mefVADNhMPs7SDL+uiPVA1wVNPqfGq74GVvRA5bJFvu53Ir/e9/ZAGExFvqfGq74FR/RACZ9MPu53Ir/fBvdA3YpNPtR0eL4k3PBAdVVGvnrRNL9NOPtATMdEvtR0eL4jzfBAtPxLPnrRNL9TR/tAnVlOPuz8LL4gcutAnEhHvkUUQb+nygBBb/hDvuz8LL4hY+tAxdRPPpqnJL5ghuFAR31CvpqnJL5bd+FAjQlLPkUUQb8o0gBBf2dIvnhiRb9piwRBqupJPnhiRb/skgRBf2dIvsxpTsBpiwRBqupJPsxpTsDskgRBJM4Tv7J74L7zavVAp2J4v87SDL/2W/VAp2J4v7J74L72W/VAJM4Tv87SDL/zavVAscITv6fGq75ROPRA53B4v+53Ir8n2vZANFd4v6fGq75PKfRAZNwTv+53Ir8t6fZAfqETv9R0eL5xvvBAhJl4v3rRNL+bGvtAATZ4v9R0eL5sr/BACAUUv3rRNL+gKftAx20Tv+z8LL5uVOtATtZ4v0UUQb/OuwBBQgJ4v+z8LL5oRetA/Q4Tv5qnJL6paOFAgKN3v5qnJL6nWeFA0kEUv0UUQb9NwwBBBh55v3hiRb+OfARBfIkUv3hiRb8RhARBBh55v8xpTsCOfARBfIkUv8xpTsARhARBcm+ov7J74L69TvVAtLnav87SDL+6P/VAtLnav7J74L66P/VAcm+ov87SDL+9TvVAuWmov6fGq74dHPRA1MDav+53Ir/vvfZA97Pav6fGq74WDfRAl3aov+53Ir/1zPZAIFmov9R0eL47ovBAI9Xav3rRNL9j/vpAXaPav9R0eL40k/BA5Yqov3rRNL9iDftARD+ov+z8LL42OOtAiPPav0UUQb+vrQBBgonav+z8LL4yKetA3w+ov5qnJL5xTOFAIFrav5qnJL5uPeFARqmov0UUQb8wtQBBZBfbv3hiRb90bgRBIs2ov3hiRb/zdQRBZBfbv8xpTsB0bgRBIs2ov8xpTsDzdQRB6nsDwLJ74L6JMvVACqEcwM7SDL+CI/VACqEcwLJ74L6CI/VA6nsDwM7SDL+JMvVADXkDwKfGq77h//NAmqQcwO53Ir+2ofZAL54cwKfGq77g8PNAen8DwO53Ir+3sPZAwHADwNR0eL79hfBAw64cwHrRNL8m4vpA35UcwNR0eL7+dvBAo4kDwHrRNL8w8fpA0WMDwOz8LL78G+tA9L0cwEUUQb+UnwBB84gcwOz8LL75DOtAIEwDwJqnJL45MOFAQnEcwJqnJL42IeFA1ZgDwEUUQb8VpwBB4s8cwHhiRb9WYARBw6oDwHhiRb/ZZwRB4s8cwMxpTsBWYARBw6oDwMxpTsDZZwRBHsAywLJ74L5LFvVAPOVLwM7SDL9MB/VAPOVLwLJ74L5MB/VAHsAywM7SDL9LFvVAPb0ywKfGq76p4/NAzehLwO53Ir98hfZAYOJLwKfGq76m1PNAqsMywO53Ir+DlPZA8rQywNR0eL7FafBA8vJLwHrRNL/vxfpAD9pLwNR0eL7CWvBA080ywHrRNL/41PpABKgywOz8LL7E/+pAJgJMwEUUQb93kQBBI81LwOz8LL6+8OpAUJAywJqnJL7/E+FAc7VLwJqnJL79BOFABt0ywEUUQb/3mABBExRMwHhiRb87UgRB8O4ywHhiRb+9WQRBExRMwMxpTsA7UgRB8O4ywMxpTsC9WQRBSgRiwLJ74L4R+vRAbyl7wM7SDL8Q6/RAbyl7wLJ74L4Q6/RASgRiwM7SDL8R+vRAcQFiwKfGq751x/NA/Sx7wO53Ir9IafZAkCZ7wKfGq75uuPNA3gdiwO53Ir9LePZAI/lhwNR0eL6UTfBAJDd7wHrRNL+7qfpARx57wNR0eL6KPvBABxJiwHrRNL+8uPpANexhwOz8LL6K4+pAV0Z7wEUUQb9agwBBVBF7wOz8LL6G1OpAhNRhwJqnJL7H9+BApfl6wJqnJL7F6OBANiFiwEUUQb/bigBBRVh7wHhiRb8fRARBIjNiwHhiRb+fSwRBRVh7wMxpTsAfRARBIjNiwMxpTsCfSwRBP6SIwLJ74L7f3fRAzjaVwM7SDL/YzvRAzjaVwLJ74L7YzvRAP6SIwM7SDL/f3fRAz6KIwKfGq745q/NAljiVwO53Ir8OTfZAYDWVwKfGq744nPNACaaIwO53Ir8PXPZAqZ6IwNR0eL5VMfBAqj2VwHrRNL99jfpAODGVwNR0eL5VIvBAG6uIwHrRNL+EnPpAMZiIwOz8LL5Qx+pAQ0WVwEUUQb9AdQBBwSqVwOz8LL5PuOpAWYyIwJqnJL6R2+BA6R6VwJqnJL6LzOBAs7KIwEUUQb/BfABBOk6VwHhiRb8BNgRBqbuIwHhiRb+FPQRBOk6VwMxpTsABNgRBqbuIwMxpTsCFPQRBw4ShwLJ74L4pwPRAVBeuwM7SDL8nsfRAVBeuwLJ74L4nsfRAw4ShwM7SDL8pwPRAV4OhwKfGq76GjfNAGxmuwO53Ir9XL/ZA6BWuwKfGq76BfvNAi4ahwO53Ir9ePvZALn+hwNR0eL6jE/BALx6uwHrRNL/Ib/pAvxGuwNR0eL6dBPBAn4uhwHrRNL/PfvpAt3ihwOz8LL6fqepAyyWuwEUUQb9kZgBBSAuuwOz8LL6YmupA4GyhwJqnJL7YveBAcP+twJqnJL7VruBAO5OhwEUUQb/lbQBBwC6uwHhiRb8pJwRBMJyhwHhiRb+qLgRBwC6uwMxpTsApJwRBMJyhwMxpTsCqLgRBg7PEQLJ74L7ma/ZA9CC4QM7SDL/lXPZA9CC4QLJ74L7lXPZAg7PEQM7SDL/ma/ZA8LTEQKfGq75IOfVAKh+4QO53Ir8b2/dAYCK4QKfGq75DKvVAubHEQO53Ir8i6vdAGLnEQNR0eL5mv/FAFRq4QHrRNL+OG/xAiCa4QNR0eL5fsPFApazEQHrRNL+RKvxAj7/EQOz8LL5hVexAfhK4QEUUQb9DPAFB/iy4QOz8LL5dRuxAaMvEQJqnJL6caeJA1zi4QJqnJL6XWuJADaXEQEUUQb/GQwFBhwm4QHhiRb8J/QRBFpzEQHhiRb+KBAVBhwm4QMxpTsAJ/QRBFpzEQMxpTsCKBAVB/dKrQLJ74L41TvZAa0CfQM7SDL8uP/ZAa0CfQLJ74L4uP/ZA/dKrQM7SDL81TvZAa9SrQKfGq76RG/VApT6fQO53Ir9mvfdA2kGfQKfGq76ODPVANNGrQO53Ir9pzPdAkdirQNR0eL6xofFAkTmfQHrRNL/X/ftAAkafQNR0eL6ukvFAIsyrQHrRNL/YDPxAB9+rQOz8LL6qN+xA9TGfQEUUQb9rLQFBdkyfQOz8LL6pKOxA4eqrQJqnJL7nS+JAT1ifQJqnJL7lPOJAhcSrQEUUQb/tNAFB/iifQHhiRb8u7gRBkLurQHhiRb+t9QRB/iifQMxpTsAu7gRBkLurQMxpTsCt9QRB4zCUQLJ74L79MfZAU56HQM7SDL/4IvZAU56HQLJ74L74IvZA4zCUQM7SDL/9MfZAUTKUQKfGq75V//RAiZyHQO53Ir8sofdAw5+HQKfGq75U8PRAHC+UQO53Ir8ssPdAeTaUQNR0eL5zhfFAd5eHQHrRNL+c4ftA6qOHQNR0eL50dvFACCqUQHrRNL+i8PtA8TyUQOz8LL5wG+xA34+HQEUUQb9QHwFBYKqHQOz8LL5uDOxAyEiUQJqnJL6tL+JAO7aHQJqnJL6sIOJAbyKUQEUUQb/QJgFB6IaHQHhiRb8Q4ARBeBmUQHhiRb+U5wRB6IaHQMxpTsAQ4ARBeBmUQMxpTsCU5wRBlR15QLJ74L7BFfZAdvhfQM7SDL/ABvZAdvhfQLJ74L7ABvZAlR15QM7SDL/BFfZAciB5QKfGq74j4/RA6fRfQO53Ir/0hPdAU/tfQKfGq74e1PRAARp5QO53Ir/5k/dAvih5QNR0eL5AafFAwOpfQHrRNL9rxftAowNgQNR0eL48WvFA3A95QHrRNL9q1PtAsjV5QOz8LL46/+tAjttfQEUUQb8yEQFBjxBgQOz8LL428OtAYE15QJqnJL54E+JAQChgQJqnJL5yBOJArQB5QEUUQb+0GAFBoMlfQHhiRb/30QRBv+54QHhiRb932QRBoMlfQMxpTsD30QRBv+54QMxpTsB32QRBaNlJQLJ74L6L+fVARrQwQM7SDL+E6vVARrQwQLJ74L6E6vVAaNlJQM7SDL+L+fVARdxJQKfGq77pxvRAtbAwQO53Ir++aPdAIrcwQKfGq77mt/RA2NVJQO53Ir/Bd/dAkuRJQNR0eL4ITfFAjKYwQHrRNL8tqftAc78wQNR0eL4EPvFAr8tJQHrRNL8wuPtAgfFJQOz8LL4A4+tAWpcwQEUUQb8WAwFBX8wwQOz8LL7/0+tAMAlKQJqnJL489+FADuQwQJqnJL466OFAfbxJQEUUQb+YCgFBb4UwQHhiRb/ZwwRBjqpJQHhiRb9ZywRBb4UwQMxpTsDZwwRBjqpJQMxpTsBZywRBOJUaQLJ74L5V3fVAFXABQM7SDL9SzvVAFXABQLJ74L5SzvVAOJUaQM7SDL9V3fVAFZgaQKfGq76xqvRAhWwBQO53Ir+ETPdA8nIBQKfGq76sm/RAqJEaQO53Ir+HW/dAXqAaQNR0eL7OMPFAXGIBQHrRNL/xjPtAP3sBQNR0eL7LIfFAf4caQHrRNL/8m/tATa0aQOz8LL7KxutAKlMBQEUUQb/79ABBLogBQOz8LL7Dt+tA/sQaQJqnJL4E2+FA3Z8BQJqnJL4BzOFATHgaQEUUQb97/ABBP0EBQHhiRb+7tQRBYmYaQHhiRb9BvQRBP0EBQMxpTsC7tQRBYmYaQMxpTsBBvQRBCKLWP7J74L4ZwfVAylekP87SDL8YsvVAylekP7J74L4YsvVACKLWP87SDL8ZwfVAwafWP6fGq756jvRAqlCkP+53Ir9MMPdAg12kP6fGq750f/RA55rWP+53Ir9RP/dAW7jWP9R0eL6WFPFAWDykP3rRNL+/cPtAHW6kP9R0eL6TBfFAnYbWP3rRNL/Af/tAOtLWP+z8LL6SqutA+h2kP0UUQb/d5gBB/IekP+z8LL6Nm+tAnwHXP5qnJL7OvuFAYbekP5qnJL7Jr+FAOGjWP0UUQb9f7gBBHvqjP3hiRb+jpwRBW0TWP3hiRb8jrwRBHvqjP8xpTsCjpwRBW0TWP8xpTsAjrwRB6T9mP7J74L5mo/VAbasBP87SDL9hlPVAbasBP7J74L5hlPVA6T9mP87SDL9mo/VAW0tmP6fGq77AcPRALJ0BP+53Ir+bEvdA4LYBP6fGq77BYfRAqDFmP+53Ir+aIfdAjmxmP9R0eL7h9vBAiXQBP3rRNL8KU/tAE9gBP9R0eL7g5/BABAlmP3rRNL8JYvtATaBmP+z8LL7bjOtAvzcBP0UUQb8D2ABB0QsCP+z8LL7afetAEP9mP5qnJL4YoeFAjWoCP5qnJL4WkuFAScxlP0UUQb+H3wBBFfAAP3hiRb/HmARBkIRlP3hiRb9HoARBFfAAP8xpTsDHmARBkIRlP8xpTsBHoARBrna5wLJ74L6Oo/RAPgnGwM7SDL+MlPRAPgnGwLJ74L6MlPRArna5wM7SDL+Oo/RAQHW5wKfGq77scPNABwvGwO53Ir/AEvZAzgfGwKfGq77oYfNAdni5wO53Ir/GIfZAGnG5wNR0eL4K9+9AGhDGwHrRNL81U/pAqAPGwNR0eL4F6O9Ain25wHrRNL87YvpAo2q5wOz8LL4GjepAsxfGwEUUQb8YWABBMP3FwOz8LL79fepAyl65wJqnJL5AoeBAWPHFwJqnJL5AkuBAI4W5wEUUQb+ZXwBBqSDGwHhiRb/dGARBGo65wHhiRb9fIARBqSDGwMxpTsDdGARBGo65wMxpTsBfIARBUzIzvrJ74L60jfXAfx1fPs7SDL8ndPXAfx1fPrJ74L4ndPXAUzIzvs7SDL+0jfXAJoAzvqfGq74MW/TAb35fPu53Ir9f8vbArM9ePqfGq76KQfTAZdEyvu53Ir/kC/fAH2I0vtR0eL4x4fDArpJgPnrRNL/KMvvA7+1dPtR0eL6sx/DAX70xvnrRNL9STPvApcE1vuz8LL40d+vA+i9iPkUUQb/hxwDBTI5cPuz8LL60XevAE0Y4vpqnJL5/i+HA3QlaPpqnJL74ceHAEiAwvkUUQb+j1ADBkxdkPnhiRb+diATBezguvnhiRb9hlQTBkxdkPsxpTsCdiATBezguvsxpTsBhlQTBiDYaP7J74L4uW/XAg8p+P87SDL+wQfXAg8p+P7J74L6wQfXAiDYaP87SDL8uW/XAEyMaP6fGq76MKPTAveJ+P+53Ir/dv/bADbd+P6fGq74JD/TAw04aP+53Ir9k2fbAo+oZP9R0eL6zrvDAySd/P3rRNL9OAPvAnX5+P9R0eL4ulfDA0ZMaP3rRNL/UGfvAuZIZP+z8LL64ROvAGo9/P0UUQb+hrgDBrSZ+P+z8LL4tK+vAn/EYP5qnJL7/WOHAm4V9P5qnJL56P+HAJvsaP0UUQb9juwDBfwSAP3hiRb9cbwTB/HQbP3hiRb8ifATBfwSAP8xpTsBcbwTB/HQbP8xpTsAifATBJqOrP7J74L45K/XAJO3dP87SDL+1EfXAJO3dP7J74L61EfXAJqOrP87SDL85K/XAa5mrP6fGq76Z+PPAQfndP+53Ir/mj/bAZePdP6fGq74R3/PAR6+rP+53Ir9tqfbAM32rP9R0eL69fvDAxRveP3rRNL9X0PrAL8fdP9R0eL4yZfDAzdGrP3rRNL/X6frAP1GrP+z8LL7BFOvAb0/eP0UUQb+llgDBOZvdP+z8LL47++rAsACrP5qnJL4HKeHAsErdP5qnJL6ED+HAcgWsP0UUQb9nowDBY4zeP3hiRb9iVwTBZEKsP3hiRb8kZATBY4zeP8xpTsBiVwTBZEKsP8xpTsAkZATBhRUFQLJ74L5F+/TAgToeQM7SDL++4fTAgToeQLJ74L6+4fTAhRUFQM7SDL9F+/TAqBAFQKfGq76dyPPAkkAeQO53Ir/uX/bApzUeQKfGq74fr/PAkxsFQO53Ir90efbAiwIFQNR0eL7ATvDA1FEeQHrRNL9aoPrAiCceQNR0eL5ANfDA1iwFQHrRNL/lufrAj+wEQOz8LL7H5OrAqWseQEUUQb+ofgDBjxEeQOz8LL5Dy+rASsQEQJqnJL4P+eDASukdQJqnJL6L3+DArUYFQEUUQb9siwDBIooeQHhiRb9lPwTBJGUFQHhiRb8oTATBIooeQMxpTsBlPwTBJGUFQMxpTsAoTATBd1k0QLJ74L5Iy/TAdX5NQM7SDL/IsfTAdX5NQLJ74L7IsfTAd1k0QM7SDL9Iy/TAmFQ0QKfGq76mmPPAg4RNQO53Ir/4L/bAl3lNQKfGq74if/PAhV80QO53Ir+ASfbAfkY0QNR0eL7JHvDAxZVNQHrRNL9kcPrAeGtNQNR0eL5FBfDAx3A0QHrRNL/tifrAgzA0QOz8LL7QtOrAm69NQEUUQb+tZgDBgVVNQOz8LL5Im+rAOgg0QJqnJL4YyeDAPC1NQJqnJL6Vr+DAm4o0QEUUQb9ucwDBEs5NQHhiRb9sJwTBEqk0QHhiRb8tNATBEs5NQMxpTsBsJwTBEqk0QMxpTsAtNATBZZ1jQLJ74L5Pm/TAacJ8QM7SDL/NgfTAacJ8QLJ74L7NgfTAZZ1jQM7SDL9Pm/TAjJhjQKfGq76yaPPAdch8QO53Ir8EAPbAir18QKfGq74rT/PAd6NjQO53Ir+IGfbAbopjQNR0eL7Z7u/AuNl8QHrRNL9wQPrAca98QNR0eL5O1e/AvLRjQHrRNL/yWfrAdXRjQOz8LL7WhOrAjfN8QEUUQb+vTgDBc5l8QOz8LL5Ra+rALkxjQJqnJL4gmeDALnF8QJqnJL6df+D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"), 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"), 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"), 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DEgKcA54DngOdA0QAngNEAEIBnwOeA0IBEgKeA58DnwNCAQ8CRAESAqADoAMSAp8DoAOfAw8CjQNEAaADjQOgAw8CoQNLAUcAoQOiA0sB1gCiA6EDogMVAksB1gAXAqIDFwIVAqIDowMXAtYApAMXAqMDFQJGAUsBpAMcAhcCGAIcAqQDSAAcAhgCSABKARwCHAKlAxcCFwKlAxUCSgGmAxwCHAKmA6UDSgEbAqYDFQKnA0YBRgGnA6gDpwMWAqgDFQLVAKcDpQPVABUCpwMZAhYC1QAZAqcDGQJGABYCGQKpA0YA1ACpAxkC1QCqAxkCqgPUABkCqwPUAKoDqwOqA9UAqwOsA9QARwGsA6sDrQOrA9UApQOtA9UARwGrA60DSQGtA6UDSQFHAa0DpgNJAaUDRwGuA6wDpgOvA0kBrwNHAUkBGwKvA6YDGwJIAa8DrwOwA0cBsAOuA0cBSAGwA68DsAMaAq4DSAEaArADSAFFABoCsQMeAk0AsQMdAh4CsgMdArEDHQKzAx4CTAAdArIDHQK0A7MDTAAfAh0CHwK0Ax0CtQMfAkwAIAIfArUDtAPYALMDSQBMASACtAO2A9gAtgMjAtgAtwO2A7QDIAK4Ax8CTAG4AyACHwK5A7QDuQO3A7QDuAO5Ax8CtwMiArYDIgIjArYDuQMiArcDTAG6A7gDuAO6A7kDTAFNAboDuQO7AyICugO7A7kDIgIlAiMCuwMlAiICIwK8A04AJQK8AyMCJQK9A7wDSwC9AyUCugNOAbsDTgElArsDJgJLACUCTgEmAiUCJgK+A0sAJwK+AyYCSgAnAiYCJAJKACYCugO/A04BvwMmAk4BJAImAr8DTQG/A7oDwAMkAr8DTQHAA78DwQPCA08AwQMoAsIDUgAoAsEDKALDA8IDxAMoAlIAxAPFAygCVAHFA8QDxgPFA1QBxgPHA8UDUwDHA8YDUwAqAscDxwNTAcUDxQNTASgCKgLIA8cDxwPIA1MBKgLJA8gDUwEpAigCKAIpAsMDUwHIAykCyQPKA8gDyQPaAMoDKQLLA8MDywPZAMMDKQLMA8sDywPMA9kA2gArAsoD2gAsAisCygPNA8gDygMrAs0DyANRASkCyAPNA1EBKQLOA8wDKQJRAc4DzAPPA9kAzgPPA8wDzwMuAtkAUQEtAs4DzgMtAs8DzQMtAlEBzwNPAS4CLQJPAc8DTwFRAC4CTwHQA1EAUADQA08BLQJQAE8BLQLRA1AAUAHRAy0CzQPSAy0C0gNQAS0CKwLSA80DLwJQAdIDKwIvAtIDLwLTA1ABLAIvAisCVADTAy8CLAJUAC8C1APVA1cA1AMwAtUD3gAwAtQDMAJVAdUD1gMwAt4A1gPXAzACMQLXA9YD2APXAzEC2APZA9cDWADZA9gD1wMyAjACMAIyAlUB2QPaA9cD1wPaAzIC2QPbA9oDMgLcA1UB3APdA1UB3AM0At0DMgI0AtwDNAI1At0DNAJWATUCNALeA1YB3gNWAFYB3gPfA1YA4APeAzQCMgLgAzQC4QPfA94D4APhA94D4QPcAN8D4gPgAzIC2gPiAzIC4gPbAOAD2gPbAOID2wDhA+ADWAHcAOED2wBYAeEDWAHjA9wA2gM2AtsANgJYAdsA5AM2AtoD2wPkA9oDNgLlA1gB5QPjA1gB5APmAzYC2wPmA+QD5gPlAzYC2wPdAOYD3QDlA+YD5QM4AuMD3QA3AuUD5wM4AuUDNwLnA+UDNwJVAOcD6APpA1wAWQHoA1wA6gPoA1kB6wPoA+oD6wPsA+gDOwLsA+sDWQDsAzsCWQDtA+wD6APuA+kD7APuA+gD7gM5AukD7QM8AuwD7AM8Au4D7QNaATwC7gM6AjkCPAI6Au4DOgLvAzkCOQLvA+AA7wNbAeAAWgE9AjwCWgHwAz0C8AM+Aj0CPAI9AvEDPgLyAz0CPALxA98APALfADoCPQLzA/ED8QPzA98APQLyA/MDPgJcAfIDXAE/AvIDXAFaAD8C8gM/AvQD8gP0A/UD8gP1A/MD9QP0A/YD8wP1A10B9QP2A10B8wNdAd8AXQH2A14B3wBdAfcDXQFeAfcD9wNeAfgDXgFbAPgD3wD3A/kDOgLfAPkDOgL5A+8D+QP3A/oD9wP4A/oD+QP6A+8D+gP4A1sA7wP6A1sB+gNbAFsBXwD7A0YCZQH7A18A+wNkAUYC/AP7A2UB+wP9A2QB/AP9A/sDRwL8A2UBRwL+A/wDYAD+A0cC/gP/A/wD/AP/A/0D/gNEAv8D/QMABGQBZAEABAEEAARgAQEEAARAAmABQALjAGAB/QMCBAAEAgRAAgAERQICBP0D/wNFAv0DRQJjAQIE/wNjAUUCYwFAAgIERAIDBP8D/wNDAmMBAwRDAv8DRAIEBAMEAwQEBEMCRALhAAQEQwIFBGMBYwEFBEACBARhAUMCQwJhAQUE4QAGBAQEBAQGBGEB4QBiAQYEYgEHBAYEYgFdAAcEXQBCAgcEBgQHBEICBgRCAmEBYQFCAggEYQEIBAUEQgJfAQgEBQQIBF8BBQRfAQkEBQQJBEACCQRfAQoEQAIJBAoEXwFeAAoEQAIKBOMACgReAOMACwRJAmMACwQMBEkCSAIMBAsEDARnAUkCDQQMBEgCDAQOBGcBDgRqAWcBDQQPBAwEEAQOBAwEDwQQBAwESwIPBA0EEAQRBA4EDwQRBBAEDgQSBGoBEQQSBA4EEgROAmoBTAIPBEsCZABMAksCTAITBA8ETAJoARMEDwTlABEEEwTlAA8EEQRrARIE5QBrAREEEgQUBE4CawEUBBIEFARiAE4CFAQVBGIAFgQVBBQEawEWBBQEFgRRAhUE5QAXBGsBFwQWBGsBUAJRAhYEFwRQAhYEUAIYBFECGQQXBOUAEwQZBOUATwJQAhcEGQRPAhcEEwRNAhkETQJPAhkEaAFNAhMEaAEaBE0CGgRpAU0CGwQYBFACTwIbBFACGwRSAhgETQIcBE8CaQEcBE0CHAQbBE8CaQHkABwEUwJSAhsEHARTAhsE5ABTAhwEUwJhAFIC5ABhAFMCHQQeBGgAHgRwAWgAHgQfBHABHQRaAh4EHgQgBB8EWgIgBB4EIATnAB8EWQJaAh0EIATmAOcA5gBsAecAWgIhBCAEIQTmACAEWQIiBFoCIgQhBFoCIwQiBFkCJAQjBFkCZQAjBCQEZQBYAiMEWAJxASMEIwRxASIEWAJyAXEBIgRvASEEbwHmACEEcQElBCIEIgQlBG8BcgFXAnEBcQFXAiUEcgFuAVcCJQQmBG8BbwEmBOYAVwImBCUEbgEnBFcCVwInBCYEbgFWAicEVgIoBCcEVgIpBCgEVgJmACkEJwQoBG0BKAQpBG0BJwRtASYEbQEpBFUCbQFVAioEJgRtASoEKgRVAisEJgQqBFQCKgQrBFQCJgRUAuYA5gBUAiwEVAIrBCwE5gAsBGwBLAQtBGwBLAQrBC0EKwRnAC0EcwEuBGwAcwFbAi4EWwJ0AS4EXAJbAnMBWwIvBHQBLwTpAHQBXAIwBFsCaQAwBFwCMQQvBFsCMAQxBFsCLwRgAukAYAJhAukAMQR1AS8EdQFgAi8EMAToADEE6AB1ATEEaQAyBDAEMgToADAEaQB2ATIEYAIzBGECMwRrAGECdQE0BGACNAQzBGACdgFeAjIEdgE1BF4CNQTqAF4CMgReAjYEMgQ2BOgA6AA3BHUBNwQ0BHUB6AA2BDcENwQ4BDQENgQ4BDcEOAQ5BDQENAQ5BDMENgRfAjgEXgJfAjYEOAR3ATkEXwJ3ATgEOQQ6BDMEdwE6BDkEMwQ6BGsAOgR5AWsAOwR5AToEdwE7BDoEOwRjAnkBPAQ7BHcBPARjAjsEXwI8BHcBPQRqAGMCYgI9BGMCYgJjAjwEeAE9BGICPgQ8BF8CPgRiAjwEeAFiAj4EXgI+BF8C6gB4AT4E6gA+BF4CZAI/BEAEPwTtAEAEZgI/BGQCZgJkAnAAPwRlAu0AewFmAnAAZQJ9Ae0AZwJmAnsBegFlAj8EZgJ6AT8EQQRnAnsBZgJCBHoBZwJCBGYCQwRnAkEEbQBDBEEEZwJEBEIEQwRoAmcCZwJoAkQEQwR8AWgCRARpAkIEaAJpAkQEQgRFBHoBegFFBGUCQgRpAkUEfAFGBGgCaAJGBGkCfAHsAEYE7ABrAkYERQRHBGUCZQJHBH0BRwRIBH0BRQRJBEcERwRsAkgESQRsAkcEbAJvAEgEfgFvAGwC6wBJBEUE6wBsAkkEaQLrAEUEagJ+AWwC6wBqAmwCagJKBH4BaQJLBOsASwRqAusARgRLBGkCTARKBGoCTARqAksERgRMBEsEbgBKBEwEawJMBEYEawJuAEwETQR4AnQATQROBHgCTgRPBHgCdwJOBE0EdwJPBE4ETwTwAHgCdgJ3Ak0ETwR/AfAAUAR3AnYCTwRtAn8BdgJ1AlAEcQB1AnYCcQB0AnUCdAJzAnUCdAJRBHMCUQTuAHMCUgRtAk8EdwJSBE8EdQJzAlMEdQJTBFAEUASCAXcCdwKCAVIEUARTBIIBUgRUBG0CggFUBFIEVARVBG0CbQJVBH8BVQSAAX8BVQRvAoABbwJzAIABbwJWBHMAVARXBFUEVwRvAlUEggHvAFQE7wBXBFQEUwTvAIIBbgJvAlcE7wBuAlcEWARWBG8CbgJYBG8CWARwAlYEUwRZBO8AWQRuAu8AcwJZBFMEWgRYBG4CWQRaBG4CcwJbBFkEWwRaBFkE7gBbBHMC7gCBAVsEWwRyAloEgQFyAlsEWgRxAlgEcgJxAloEgQFxAnICcQJwAlgEgQFcBHECXARwAnECXARyAHACXQTyAHUAewJdBHUAXQReBPIAewJeBF0EXgR5AvIAXgRfBHkCXwR/AnkCewKGAV4EhgFfBF4EYASGAXsCYQRgBHsCYQRiBGAEeABiBGEEeAB+AmIEXwRjBH8CYwSDAX8ChgF8Al8EfAJjBF8EYARkBIYBZAR8AoYBYgRkBGA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"), 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"), 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"), 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"), 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instance=ExtResource("4_k3ert")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -94.346535, 6.281558, 181.73967) +image_path = "res://assets/Images/spiel_ballon_surveillance3b.png" + +[node name="Battery4" parent="Objects/Balloons_A2/Balloon4" instance=ExtResource("7_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.0074920654, -1.7075081, 0.0055160522) +new_y_diff = 3.457 +image_path = "res://assets/Images/surveillance.jpg" + +[node name="Batteries_clutter" type="Node3D" parent="Objects"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -111.679, 0, 192.66) + +[node name="Battery2" parent="Objects/Batteries_clutter" instance=ExtResource("7_sbveb")] +transform = Transform3D(-3.96706e-08, 0.907558, 0.419927, -1, -4.37114e-08, -1.77636e-15, 1.83556e-08, -0.419927, 0.907558, -13.5682, 0.398667, 0) + +[node name="Battery5" parent="Objects/Batteries_clutter" instance=ExtResource("7_sbveb")] +transform = Transform3D(-1.40426e-08, 0.321258, 0.946992, -1, -4.37114e-08, -1.94057e-15, 4.13943e-08, -0.946992, 0.321258, -17.6398, 0.398667, -17.9733) + +[node name="Battery6" parent="Objects/Batteries_clutter" instance=ExtResource("7_sbveb")] +transform = Transform3D(-2.55477e-08, 0.584462, 0.811421, -1, -4.37114e-08, -2.19894e-15, 3.54683e-08, -0.811421, 0.584462, -20.655, 0.398667, -16.0945) + +[node name="Battery7" parent="Objects/Batteries_clutter" instance=ExtResource("7_sbveb")] +transform = Transform3D(3.53704e-08, -0.809181, 0.587559, -1, -4.37114e-08, -2.9565e-15, 2.5683e-08, -0.587559, -0.809181, -19.2758, 0.398667, -19.0889) + +[node name="Battery8" parent="Objects/Batteries_clutter" instance=ExtResource("7_sbveb")] +transform = Transform3D(2.35678e-08, -0.539168, 0.842198, -1, -4.37114e-08, -4.47561e-15, 3.68137e-08, -0.842198, -0.539168, -22.8112, 0.398667, -14.3698) + +[node name="Battery4" parent="Objects/Batteries_clutter" instance=ExtResource("7_sbveb")] +transform = Transform3D(0.762962, 0, 0.646444, 0, 1, 0, -0.646444, 0, 0.762962, -15.8974, 0.398667, 1.00641) + +[node name="Battery3" parent="Objects/Batteries_clutter" instance=ExtResource("7_sbveb")] +transform = Transform3D(2.54026e-08, -0.581143, 0.813801, -1, -4.37114e-08, -2.67374e-15, 3.55724e-08, -0.813801, -0.581143, -15.8156, 0.398667, 2.19505) + +[node name="Bridges" type="Node3D" parent="Objects"] + +[node name="bridge" parent="Objects/Bridges" instance=ExtResource("8_rvy4c")] +transform = Transform3D(0.99701, -0.0772759, 0, 0.0772759, 0.99701, 0, 0, 0, 1, -105.068, 1.30107, 204.725) + +[node name="bridge2" parent="Objects/Bridges" instance=ExtResource("8_rvy4c")] +transform = Transform3D(0.99701, -0.0772759, 0, 0.0772759, 0.99701, 0, 0, 0, 1, -105.068, 1.301, 202.341) + +[node name="plane" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -95.7868, 0.818367, 177.437) + +[node name="plane2" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -93.526, 0.5, 177.589) + +[node name="plane3" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(0.9396926, -0.34202012, 0, 0.34202012, 0.9396926, 0, 0, 0, 1, -90.299, 0.891, 186.988) + +[node name="plane4" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(0.95424026, -0.29904076, 0, 0.29904076, 0.95424026, 0, 0, 0, 1, -90.462, 0.678, 184.478) + +[node name="plane5" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -91.6091, 0.965851, 179.14705) + +[node name="plane6" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -91.20939, 1.0003718, 181.9105) + +[node name="plane7" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -88.5932, 2.78587, 194.496) + +[node name="plane8" parent="Objects/Bridges" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -88.5932, 3.6392, 197.095) + +[node name="walls_tutorial" type="Node3D" parent="Objects/Bridges"] + +[node name="wall" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -96.2042, 4.58492, 201.516) + +[node name="wall2" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -94.0137, 4.58492, 201.516) + +[node name="wall3" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -91.7526, 4.58492, 201.516) + +[node name="wall4" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -89.6357, 4.58492, 201.516) + +[node name="wall5" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -96.2042, 6.65421, 201.516) + +[node name="wall6" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -94.0137, 6.65421, 201.516) + +[node name="wall7" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -91.7526, 6.65421, 201.516) + +[node name="wall8" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -89.6357, 6.65421, 201.516) + +[node name="wall9" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -87.6652, 4.58492, 201.516) + +[node name="wall10" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -86.482, 4.58492, 201.516) + +[node name="wall11" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -87.6652, 6.65421, 201.516) + +[node name="wall12" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -86.482, 6.65421, 201.516) + +[node name="wall13" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -96.2042, 4.58492, 211.054) + +[node name="camera_bound" type="CollisionShape3D" parent="Objects/Bridges/walls_tutorial/wall13"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.1118774, -0.4734497, 0) +shape = SubResource("BoxShape3D_624o1") + +[node name="wall14" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -94.0137, 4.58492, 211.054) + +[node name="wall15" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -91.7526, 4.58492, 211.054) + +[node name="wall16" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -89.6357, 4.58492, 211.054) + +[node name="wall17" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -96.2042, 6.65421, 211.054) + +[node name="wall18" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -87.5402, 4.58492, 211.054) + +[node name="wall19" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -87.5402, 6.65421, 211.054) + +[node name="wall20" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -94.0137, 6.65421, 211.054) + +[node name="wall21" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -91.7526, 6.65421, 211.054) + +[node name="wall22" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, -4.37114e-08, -1, 0, 1, -4.37114e-08, -89.6357, 6.65421, 211.054) + +[node name="wall23" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2494, 4.58492, 211.696) + +[node name="wall24" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2988, 6.65421, 209.386) + +[node name="wall25" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2494, 6.65421, 211.696) + +[node name="wall26" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2988, 4.58492, 209.386) + +[node name="wall27" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2988, 4.58492, 202.665) + +[node name="camera_bound" type="CollisionShape3D" parent="Objects/Bridges/walls_tutorial/wall27"] +transform = Transform3D(1, 0, 0, 0, 1, -8.351893e-23, 0, -8.3518774e-23, 1, -3.519043, -0.3802948, 0) +shape = SubResource("BoxShape3D_hehpc") + +[node name="wall28" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2494, 4.58492, 204.975) + +[node name="wall29" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2988, 6.65421, 202.665) + +[node name="wall30" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2494, 6.65421, 204.975) + +[node name="wall31" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2494, 4.58492, 207.191) + +[node name="wall32" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -86.2494, 6.65421, 207.191) + +[node name="wall33" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -96.4123, 4.58492, 207.315) + +[node name="wall34" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -96.3629, 4.58492, 209.625) + +[node name="wall35" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -96.4123, 6.57235, 207.315) + +[node name="wall36" parent="Objects/Bridges/walls_tutorial" instance=ExtResource("9_h3col")] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -96.3629, 6.65421, 209.625) + +[node name="walls_to_bridge" type="Node3D" parent="Objects/Bridges/walls_tutorial"] +transform = Transform3D(-4.37114e-08, 1, -4.37114e-08, 0, -4.37114e-08, -1, -1, -4.37114e-08, 1.91069e-15, -96.4123, 6.57235, 207.315) + +[node name="wall" parent="Objects/Bridges/walls_tutorial/walls_to_bridge" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, -8.351893e-23, 0, -8.3518774e-23, 1, 4.9645233, 0, 1.9874201) + +[node name="wall2" parent="Objects/Bridges/walls_tutorial/walls_to_bridge" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, -8.351893e-23, 0, -8.3518774e-23, 1, 4.9645233, 0, -0.08186245) + +[node name="wall3" parent="Objects/Bridges/walls_tutorial/walls_to_bridge" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, -8.351893e-23, 0, -8.3518774e-23, 1, 2.5198975, 0, 1.9874201) + +[node name="wall4" parent="Objects/Bridges/walls_tutorial/walls_to_bridge" instance=ExtResource("9_h3col")] +transform = Transform3D(1, 0, 0, 0, 1, -8.351893e-23, 0, -8.3518774e-23, 1, 2.5198975, 0, -0.08186245) + +[node name="capacitators" type="Node3D" parent="Objects"] + +[node name="capacitor_small" type="Node3D" parent="Objects/capacitators"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -14.4356, 0, -20.165) + +[node name="Cylinder_018" type="MeshInstance3D" parent="Objects/capacitators/capacitor_small"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -99.9568, 0.44895, 190.983) +mesh = SubResource("ArrayMesh_pq3re") +skeleton = NodePath("") + +[node name="capacitor_med" type="Node3D" parent="Objects/capacitators"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -126.567, 0, 179.774) + +[node name="Cylinder_017" type="MeshInstance3D" parent="Objects/capacitators/capacitor_med"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.56757, 1.0579, -7.42642) +mesh = SubResource("ArrayMesh_ya2mg") +skeleton = NodePath("") + +[node name="capacitor_big" type="Node3D" parent="Objects/capacitators"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -14.4356, 0, -20.165) + +[node name="Cylinder_019" type="MeshInstance3D" parent="Objects/capacitators/capacitor_big"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -99.362, 2.87615, 188.376) +mesh = SubResource("ArrayMesh_x65oe") +skeleton = NodePath("") + +[node name="capacitor_small2" type="Node3D" parent="Objects/capacitators"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -14.4356, 0, -20.165) + +[node name="Cylinder_018" type="MeshInstance3D" parent="Objects/capacitators/capacitor_small2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -102.526, 0.44895, 193.196) +mesh = SubResource("ArrayMesh_pq3re") +skeleton = NodePath("") + +[node name="capacitor_med2" type="Node3D" parent="Objects/capacitators"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -123.646, 0, 176.709) + +[node name="Cylinder_017" type="MeshInstance3D" parent="Objects/capacitators/capacitor_med2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.56757, 1.0579, -7.42642) +mesh = SubResource("ArrayMesh_ya2mg") +skeleton = NodePath("") + +[node name="capacitor_big2" type="Node3D" parent="Objects/capacitators"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -14.4356, 0, -20.165) + +[node name="Cylinder_019" type="MeshInstance3D" parent="Objects/capacitators/capacitor_big2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -96.5686, 2.87615, 190.493) +mesh = SubResource("ArrayMesh_x65oe") +skeleton = NodePath("") + +[node name="Chip0" type="StaticBody3D" parent="Objects"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -66.267, 1.40162, 206.656) +collision_layer = 2 +collision_mask = 13 + +[node name="Cube_033" type="MeshInstance3D" parent="Objects/Chip0"] +transform = Transform3D(1.26248, 0, 0, 0, 1, 0, 0, 0, 1.22611, -22.0071, 1.41604, 0) +mesh = SubResource("ArrayMesh_180u8") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -21.693748, 1.5024356, 0) +shape = SubResource("BoxShape3D_kbxl2") + +[node name="CollisionShape3D2" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -14.043274, 2.32061, -0.19116211) +shape = SubResource("BoxShape3D_wvggi") + +[node name="CollisionShape3D3" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(-4.3711385e-08, 0, -0.99999994, 0, 1, 0, 0.99999994, 0, -4.3711385e-08, -21.968613, 2.32061, 7.582077) +shape = SubResource("BoxShape3D_wvggi") + +[node name="CollisionShape3D4" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -30.04744, 2.32061, -0.19116211) +shape = SubResource("BoxShape3D_wvggi") + +[node name="CollisionShape3D5" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(-4.371139e-08, 0, 1, 0, 1, 0, -1, 0, -4.371139e-08, -21.901443, 2.32061, -7.593231) +shape = SubResource("BoxShape3D_wvggi") + +[node name="CollisionShape3D6" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -11.546471, -0.30398035, 0) +shape = SubResource("BoxShape3D_xantc") + +[node name="CollisionShape3D7" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(-4.371139e-08, 0, 1, 0, 1, 0, -1, 0, -4.371139e-08, -22.461586, -0.30398035, 10.145584) +shape = SubResource("BoxShape3D_xantc") + +[node name="CollisionShape3D8" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -32.384613, -0.30398035, 0) +shape = SubResource("BoxShape3D_xantc") + +[node name="CollisionShape3D9" type="CollisionShape3D" parent="Objects/Chip0"] +transform = Transform3D(-4.371139e-08, 0, 1, 0, 1, 0, -1, 0, -4.371139e-08, -21.778328, -0.30398035, -10.190262) +shape = SubResource("BoxShape3D_xantc") + +[node name="block" type="StaticBody3D" parent="Objects/Chip0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -3, 0) +collision_layer = 4 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/Chip0/block"] +transform = Transform3D(1.26248, 0, 0, 0, 1, 0, 0, 0, 1.22611, -29.5979, 3.01615, -1.85921) +mesh = SubResource("BoxMesh_jvev0") +skeleton = NodePath("../../Cube_033") + +[node name="MeshInstance3D2" type="MeshInstance3D" parent="Objects/Chip0/block"] +transform = Transform3D(1.26248, 0, 0, 0, 1, 0, 0, 0, 1.22611, -29.5979, 3.01615, -4.17967) +mesh = SubResource("BoxMesh_jvev0") +skeleton = NodePath("../../Cube_033") + +[node name="CollisionShape3D3" type="CollisionShape3D" parent="Objects/Chip0/block"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -29.6116, 3.02399, -1.85921) +shape = SubResource("BoxShape3D_q05dt") + +[node name="CollisionShape3D4" type="CollisionShape3D" parent="Objects/Chip0/block"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -29.6116, 3.02399, -4.23981) +shape = SubResource("BoxShape3D_q05dt") + +[node name="Arrow58" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6605, 2.75257, -0.80545) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow59" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6422, 2.78609, -1.63191) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow60" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6526, 2.77481, -2.4413) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow61" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6605, 3.47088, -0.80545) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow62" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6422, 3.50439, -1.63191) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow63" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6526, 3.49312, -2.4413) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow64" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6605, 3.47088, -3.25218) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow65" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6422, 3.50439, -4.07864) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow66" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6526, 3.49312, -4.88803) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow67" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6605, 2.7628, -3.24701) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow68" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6422, 2.79631, -4.07347) +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow69" parent="Objects/Chip0/block" instance=ExtResource("4_yahjh")] +transform = Transform3D(-1.74846e-08, 0.4, -1.74846e-08, 0, -1.74846e-08, -0.4, -0.4, -1.74846e-08, 7.64274e-16, -28.6526, 2.78504, -4.88286) +collision_layer = 0 +collision_mask = 0 + +[node name="Label3D" type="Label3D" parent="Objects/Chip0/block"] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -28.6089, 3.01642, -2.88716) +text = "Einmal hier drauf springen" +font_size = 64 +outline_size = 24 + +[node name="Arrows_A4" type="Node3D" parent="Objects/Chip0"] +transform = Transform3D(-0.28737724, 0, -0.95781744, 0, 1, 0, 0.95781744, 0, -0.28737724, -26.525238, 2.3813615, -2.703186) +visible = false + +[node name="Arrow" parent="Objects/Chip0/Arrows_A4" instance=ExtResource("4_yahjh")] +collision_layer = 0 +collision_mask = 0 + +[node name="Arrow2" parent="Objects/Chip0/Arrows_A4" instance=ExtResource("4_yahjh")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0068359375, 0, 1.4504662) +collision_layer = 0 +collision_mask = 0 + +[node name="chip1" type="StaticBody3D" parent="Objects"] +transform = Transform3D(0.6, 0, 0, 0, 0.6, 0, 0, 0, 0.6, -102.275, 0, 202.25) +collision_layer = 2 +collision_mask = 13 + +[node name="Cube_032" type="MeshInstance3D" parent="Objects/chip1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -29.2247, 2.24307, 0) +mesh = SubResource("ArrayMesh_utrs3") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/chip1"] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -29.847504, 0.93991506, 0) +shape = SubResource("BoxShape3D_e5x5i") + +[node name="CollisionShape3D2" type="CollisionShape3D" parent="Objects/chip1"] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -23.121704, 3.129294, 0) +shape = SubResource("BoxShape3D_fb04v") + +[node name="CollisionShape3D3" type="CollisionShape3D" parent="Objects/chip1"] +transform = Transform3D(-4.3711363e-08, 0, 0.99999976, 0, 0.99999976, 0, -0.99999976, 0, -4.3711363e-08, -29.299133, 3.129294, -6.281433) +shape = SubResource("BoxShape3D_fb04v") +disabled = true + +[node name="CollisionShape3D4" type="CollisionShape3D" parent="Objects/chip1"] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -35.309586, 3.129294, 0) +shape = SubResource("BoxShape3D_fb04v") + +[node name="CollisionShape3D5" type="CollisionShape3D" parent="Objects/chip1"] +transform = Transform3D(-4.3711363e-08, 0, -0.99999976, 0, 0.99999976, 0, 0.99999976, 0, -4.3711363e-08, -29.122223, 3.129294, 6.3230896) +shape = SubResource("BoxShape3D_fb04v") + +[node name="Fence" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -35.377594, 3.5754554, 5.232086) + +[node name="Fence2" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -35.377594, 3.5754554, 3.2519531) + +[node name="Fence3" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -35.377594, 3.5754554, 1.2605286) + +[node name="Fence4" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -35.377594, 3.5754554, -0.730896) + +[node name="Fence5" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -35.377594, 3.5754554, -2.6445007) + +[node name="Fence6" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999976, 0, 0, 0, 0.99999976, 0, 0, 0, 0.99999976, -35.377594, 3.5754554, -4.6401978) + +[node name="Fence7" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.7878706, 0, -0.6158401, 0, 0.99999976, 0, 0.6158401, 0, 0.7878706, -35.06064, 3.5754554, -5.7283325) + +[node name="Fence8" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.3711363e-08, 0, -0.99999946, 0, 0.99999946, 0, 0.99999946, 0, -4.3711363e-08, -33.75502, 3.5754554, -6.392975) + +[node name="Fence9" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.3711363e-08, 0, -0.99999946, 0, 0.99999946, 0, 0.99999946, 0, -4.3711363e-08, -32.48236, 3.5754554, -6.392975) + +[node name="Fence10" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.3711363e-08, 0, -0.99999946, 0, 0.99999946, 0, 0.99999946, 0, -4.3711363e-08, -31.276932, 3.5754554, -6.392975) + +[node name="Fence11" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-0.36888692, 0, -0.92947376, 0, 0.99999946, 0, 0.92947376, 0, -0.36888692, -34.862656, 3.5754554, 6.232605) + +[node name="Fence12" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.3711363e-08, 0, -0.99999946, 0, 0.99999946, 0, 0.99999946, 0, -4.3711363e-08, -33.457413, 3.5754554, 6.3824463) + +[node name="Fence13" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.17641464, 0, -0.9843154, 0, 0.99999946, 0, 0.9843154, 0, 0.17641464, -32.03978, 3.5754554, 6.249695) + +[node name="Fence14" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.3711363e-08, 0, -0.99999946, 0, 0.99999946, 0, 0.99999946, 0, -4.3711363e-08, -25.478607, 3.5754554, -6.238617) + +[node name="Fence15" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.3711363e-08, 0, -0.99999946, 0, 0.99999946, 0, 0.99999946, 0, -4.3711363e-08, -23.734879, 3.5754554, -6.238617) + +[node name="Fence16" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999946, 0, 0, 0, 0.99999946, 0, 0, 0, 0.99999946, -22.791382, 3.5754554, -5.279541) + +[node name="Fence17" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999946, 0, 0, 0, 0.99999946, 0, 0, 0, 0.99999946, -22.791382, 3.5754554, -4.023163) + +[node name="Fence18" parent="Objects/chip1" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0.99999946, 0, 0, 0, 0.99999946, 0, 0, 0, 0.99999946, -22.791382, 3.5754554, -2.257782) + +[node name="star" type="StaticBody3D" parent="Objects/chip1"] +transform = Transform3D(7, 0, 0, 0, -3.0597963e-07, -7, 0, 7, -3.0597963e-07, -40.021576, 3.5401933, -5.0134277) +collision_layer = 4 +collision_mask = 13 + +[node name="Cube_037" type="MeshInstance3D" parent="Objects/chip1/star"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 1.7357509, 1.0869563, 0.055257373) +mesh = SubResource("ArrayMesh_uctae") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/chip1/star"] +transform = Transform3D(0.9999994, 0, 0, 0, 0.9999994, -2.4868996e-14, 0, 2.4868996e-14, 0.9999994, 1.7094002, 1.1256638, 0.14548981) +shape = SubResource("BoxShape3D_mix7h") + +[node name="chip2" type="StaticBody3D" parent="Objects"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -94.4901, -0.00298977, 186.816) +collision_layer = 4 +collision_mask = 15 + +[node name="Cube_014" type="MeshInstance3D" parent="Objects/chip2"] +transform = Transform3D(1.3, 0, 0, 0, 1.3, 0, 0, 0, 1.3, 0, 0, 0) +mesh = SubResource("ArrayMesh_xu0uu") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/chip2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.0629063, 0) +shape = SubResource("BoxShape3D_clcgi") + +[node name="CollisionShape3D2" type="CollisionShape3D" parent="Objects/chip2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 1.44398, 0.659162, 1.33829) +shape = SubResource("BoxShape3D_juade") + +[node name="chip3" type="StaticBody3D" parent="Objects"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -96.8839, -0.00298977, 186.816) +collision_layer = 4 +collision_mask = 15 + +[node name="Cube_014" type="MeshInstance3D" parent="Objects/chip3"] +transform = Transform3D(1.3, 0, 0, 0, 1.3, 0, 0, 0, 1.3, -2.17569, 0, 5.35565) +mesh = SubResource("ArrayMesh_xu0uu") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/chip3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3.115738, 0.0629063, 7.028305) +shape = SubResource("BoxShape3D_clcgi") + +[node name="CollisionShape3D2" type="CollisionShape3D" parent="Objects/chip3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.68943, 0.659162, 6.79555) +shape = SubResource("BoxShape3D_juade") + +[node name="coil" type="Node3D" parent="Objects"] +transform = Transform3D(-2.62268e-08, 0.6, -2.62268e-08, 0, -2.62268e-08, -0.6, -0.6, -2.62268e-08, 1.14641e-15, -128.117, 1.46007, 196.462) + +[node name="Cylinder_023" type="MeshInstance3D" parent="Objects/coil"] +mesh = SubResource("ArrayMesh_b7sd8") +skeleton = NodePath("") + +[node name="coil2" type="Node3D" parent="Objects"] +transform = Transform3D(0.2, 0, 0, 0, -8.74228e-09, -0.2, 0, 0.2, -8.74228e-09, -106.681, -0.17345, 190.01) + +[node name="Cylinder_023" type="MeshInstance3D" parent="Objects/coil2"] +mesh = SubResource("ArrayMesh_b7sd8") +skeleton = NodePath("") + +[node name="generators" type="Node3D" parent="Objects"] +transform = Transform3D(-0.3992129, 0, 0.025081253, 0, 0.4, 0, -0.025081253, 0, -0.3992129, -90.5877, 8.79538, 210.646) + +[node name="BatteryBox" parent="Objects/generators" instance=ExtResource("11_n6emc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, 0, 0, -2.82359) +power_needed = 25 +display_text = "Minimal" + +[node name="BatteryBox2" parent="Objects/generators" instance=ExtResource("11_n6emc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, 0, 0, -1.0177) +display_text = "Gering" + +[node name="BatteryBox3" parent="Objects/generators" instance=ExtResource("11_n6emc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, 0, 0, 1.06367) +power_needed = 75 +display_text = "Hoch" + +[node name="BatteryBox4" parent="Objects/generators" instance=ExtResource("11_n6emc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, 0, 0, 3.31763) +power_needed = 100 +display_text = "Inakzeptabel" + +[node name="Fences" type="Node3D" parent="Objects"] + +[node name="for_bridge" type="Node3D" parent="Objects/Fences"] + +[node name="FenceLeft" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.36049e-08, -0.0697739, 0.997563, -3.04991e-09, 0.997563, 0.0697739, -1, 0, -4.37114e-08, -97.4941, 3.14645, 205.907) + +[node name="FenceRight" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.36049e-08, -0.0697739, 0.997563, -3.04991e-09, 0.997563, 0.0697739, -1, 0, -4.37114e-08, -97.5773, 3.09538, 201.537) + +[node name="FenceLeft2" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.36049e-08, -0.0697739, 0.997563, -3.04991e-09, 0.997563, 0.0697739, -1, 0, -4.37114e-08, -99.3177, 3.0189, 205.907) + +[node name="FenceRight2" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.36049e-08, -0.0697739, 0.997563, -3.04991e-09, 0.997563, 0.0697739, -1, 0, -4.37114e-08, -99.4009, 2.96783, 201.537) + +[node name="FenceLeft3" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35916e-08, -0.0739692, 0.997261, -3.2333e-09, 0.997261, 0.0739692, -1, 0, -4.37114e-08, -101.18, 2.88471, 205.907) + +[node name="FenceRight3" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35916e-08, -0.0739692, 0.997261, -3.2333e-09, 0.997261, 0.0739692, -1, 0, -4.37114e-08, -101.263, 2.83328, 201.537) + +[node name="FenceLeft4" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35916e-08, -0.0739692, 0.997261, -3.2333e-09, 0.997261, 0.0739692, -1, 0, -4.37114e-08, -103.003, 2.74949, 205.907) + +[node name="FenceRight4" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35916e-08, -0.0739692, 0.997261, -3.2333e-09, 0.997261, 0.0739692, -1, 0, -4.37114e-08, -103.086, 2.69806, 201.537) + +[node name="FenceLeft5" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35499e-08, -0.085869, 0.996306, -3.75345e-09, 0.996306, 0.085869, -1, 0, -4.37114e-08, -104.925, 2.59175, 205.907) + +[node name="FenceRight5" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35499e-08, -0.085869, 0.996306, -3.75345e-09, 0.996306, 0.085869, -1, 0, -4.37114e-08, -105.008, 2.53934, 201.537) + +[node name="FenceLeft6" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35499e-08, -0.085869, 0.996306, -3.75345e-09, 0.996306, 0.085869, -1, 0, -4.37114e-08, -106.747, 2.43478, 205.907) + +[node name="FenceRight6" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35499e-08, -0.085869, 0.996306, -3.75345e-09, 0.996306, 0.085869, -1, 0, -4.37114e-08, -106.829, 2.38237, 201.537) + +[node name="FenceLeft7" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -108.622, 2.28104, 205.907) + +[node name="FenceRight7" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -108.705, 2.22855, 201.537) + +[node name="FenceLeft8" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -110.443, 2.12254, 205.907) + +[node name="FenceRight8" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -110.526, 2.07005, 201.537) + +[node name="FenceLeft9" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -112.248, 1.96652, 205.907) + +[node name="FenceRight9" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -112.331, 1.91404, 201.537) + +[node name="FenceLeft10" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -114.07, 1.80802, 205.907) + +[node name="FenceRight10" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -114.152, 1.75554, 201.537) + +[node name="FenceLeft11" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -115.981, 1.64898, 205.907) + +[node name="FenceRight11" parent="Objects/Fences/for_bridge" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.35468e-08, -0.0867037, 0.996234, -3.78994e-09, 0.996234, 0.0867037, -1, 0, -4.37114e-08, -116.063, 1.5965, 201.537) + +[node name="FenceLeft12" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-0.0526672, -0.0314543, 0.998117, -1.37682e-09, 0.999504, 0.031498, -0.998612, 0.00165891, -0.052641, -116.357, 2.20895, 205.907) + +[node name="FenceLeft13" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.36897e-08, -0.031498, 0.999504, -1.37682e-09, 0.999504, 0.031498, -1, 0, -4.37114e-08, -118.404, 2.20895, 206.033) + +[node name="FenceLeft14" parent="Objects/Fences/for_bridge" instance=ExtResource("4_cqscc")] +transform = Transform3D(0.140365, -0.0311861, 0.989609, -2.25391e-09, 0.999504, 0.031498, -0.9901, -0.00442123, 0.140296, -120.382, 2.20895, 205.907) + +[node name="FenceLeft54" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 197.48712) + +[node name="FenceRight28" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 197.39113) + +[node name="FenceLeft2" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 196.235) + +[node name="FenceRight2" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 196.139) + +[node name="FenceLeft3" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 194.463) + +[node name="FenceRight3" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 194.367) + +[node name="FenceLeft4" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 192.638) + +[node name="FenceRight4" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 192.542) + +[node name="FenceLeft5" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 190.867) + +[node name="FenceRight5" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 190.771) + +[node name="FenceLeft6" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 189.065) + +[node name="FenceRight6" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 188.969) + +[node name="FenceLeft7" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 187.293) + +[node name="FenceRight7" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 187.197) + +[node name="FenceLeft8" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -120.653, 0.8844112, 185.564) + +[node name="FenceLeft8_2" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(0.895774, 0, -0.44451, 0, 1, 0, 0.44451, 0, 0.895774, -120.426, 0.8844112, 184.117) + +[node name="FenceLeft8_3" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -119.029, 0.8844112, 183.05) + +[node name="FenceRight8" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.154, 0.8957112, 186.624) + +[node name="FenceLeft9" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -117.24, 0.8844112, 183) + +[node name="FenceRight9" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -117.141, 0.8957112, 185.598) + +[node name="FenceLeft10" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -115.369, 0.8844112, 183) + +[node name="FenceLeft17" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -113.569, 0.88448924, 183) + +[node name="FenceLeft18" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -111.699, 0.88448924, 183) + +[node name="FenceRight10" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -115.27, 0.8957112, 185.598) + +[node name="FenceRight17" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -113.223, 0.8954892, 185.598) + +[node name="FenceRight18" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -111.352, 0.8954892, 185.598) + +[node name="FenceLeft11" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -109.69, 0.8844112, 183) + +[node name="FenceRight11" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -109.506, 0.8957112, 185.598) + +[node name="FenceRight11_2" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -107.794, 0.8957112, 185.598) + +[node name="FenceRight11_3" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -106.435, 0.9116382, 183.815) + +[node name="FenceLeft12" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -108.702, 0.8844112, 182.021) + +[node name="FenceRight12" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -106.374, 0.8957112, 181.925) + +[node name="FenceLeft13" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -108.702, 0.8844112, 180.25) + +[node name="FenceRight13" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -106.374, 0.8957112, 180.154) + +[node name="FenceLeft14" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -108.702, 0.8844112, 178.425) + +[node name="FenceRight14" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -106.374, 0.8957112, 178.329) + +[node name="FenceLeft15" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -108.702, 0.8844112, 176.654) + +[node name="FenceRight15" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -106.374, 0.8957112, 176.558) + +[node name="FenceLeft16" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -108.702, 0.8844112, 174.851) + +[node name="FenceRight16" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -106.374, 0.8957112, 174.755) + +[node name="FenceLeft50" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 0.959849, -0.280516, 0, 0.280516, 0.959849, -108.702, 0.626623, 173.944) + +[node name="FenceRight35" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 0.959849, -0.280516, 0, 0.280516, 0.959849, -106.374, 0.664419, 173.855) + +[node name="FenceLeft51" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 0.928661, -0.37093, 0, 0.37093, 0.928661, -108.702, 1.21191, 172.821) + +[node name="FenceRight36" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 0.928661, -0.37093, 0, 0.37093, 0.928661, -106.374, 1.25804, 172.736) + +[node name="FenceLeft52" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 0.995763, -0.0919535, 0, 0.0919535, 0.995763, -108.702, 1.90867, 171.504) + +[node name="FenceLeft53" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 0.999996, -0.00294964, 0, 0.00294964, 0.999996, -108.702, 1.90867, 169.818) + +[node name="FenceRight37" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(1, 0, 0, 0, 0.928661, -0.37093, 0, 0.37093, 0.928661, -106.374, 1.66475, 172.625) + +[node name="FenceLeft19" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -105.915, 1.861, 169.224) + +[node name="FenceLeft19_1" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -107.916, 1.861, 169.224) + +[node name="FenceRight19" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -105.304, 1.87276, 171.83) + +[node name="FenceLeft20" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -104.144, 1.861, 169.224) + +[node name="FenceRight20" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -104.05, 1.87276, 171.833) + +[node name="FenceLeft21" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -102.319, 1.86146, 169.224) + +[node name="FenceRight21" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -102.225, 1.87276, 171.836) + +[node name="FenceLeft22" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -98.757, 1.861, 169.224) + +[node name="FenceLeft28" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -100.36, 1.861, 169.224) + +[node name="FenceRight22" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -100.153, 1.873, 171.836) + +[node name="FenceLeft23" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -97.551, 1.861, 169.224) + +[node name="FenceRight23" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -97.4569, 1.87276, 171.836) + +[node name="FenceLeft24" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -95.7792, 1.86146, 169.224) + +[node name="FenceRight24" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -95.6855, 1.87276, 171.836) + +[node name="FenceLeft25" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -93.954, 1.861, 169.224) + +[node name="FenceRight25" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -93.8606, 1.87276, 171.836) + +[node name="FenceLeft26" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -92.019, 1.861, 169.224) + +[node name="FenceRight26" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -91.9249, 1.87276, 171.836) + +[node name="FenceLeft27" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -90.129, 1.861, 169.222) + +[node name="FenceLeft27_1" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -88.279, 1.861, 169.224) + +[node name="FenceLeft27_2" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -87.1453, 1.86146, 170.199) + +[node name="FenceRight27" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -90.6445, 1.87276, 171.836) + +[node name="FenceLeft29" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -87.1453, 1.86146, 171.447) + +[node name="FenceRight30" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, 0, -8.74228e-08, 2.10221e-08, 0.970658, -0.240465, 8.48576e-08, -0.240465, -0.970658, -89.5817, 2.54339, 173.154) + +[node name="FenceLeft30" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 0, -8.74228e-08, 3.10616e-08, 0.934751, -0.355303, 8.17186e-08, -0.355303, -0.934751, -87.1453, 2.28255, 172.573) + +[node name="FenceRight31" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -89.5817, 2.90508, 174.094) + +[node name="FenceLeft31" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.1453, 2.86562, 173.598) + +[node name="FenceRight32" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -89.5817, 2.90508, 175.36) + +[node name="FenceLeft32" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.1453, 2.86562, 174.864) + +[node name="FenceRight33" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 7.73365e-08, 0.875372, -0.48345, 1.29782e-07, -0.48345, -0.875372, -89.5817, 3.58302, 176.838) + +[node name="FenceLeft33" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 7.73365e-08, 0.875372, -0.48345, 1.29782e-07, -0.48345, -0.875372, -87.1453, 3.30851, 176.423) + +[node name="FenceRight34" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 7.31036e-09, 0.999878, -0.0156026, 1.509e-07, -0.0156026, -0.999878, -89.5817, 3.76272, 177.164) + +[node name="FenceLeft34" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 7.31036e-09, 0.999878, -0.0156026, 1.509e-07, -0.0156026, -0.999878, -87.1453, 3.71553, 176.668) + +[node name="FenceRight34_" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-0.0184818, -0.0155999, -0.999707, 7.31036e-09, 0.999878, -0.0156026, 0.999829, -0.000288371, -0.0184795, -91.023, 0.98772, 188.148) + +[node name="FenceRight34_2" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-0.0184818, -0.0155999, -0.999707, 7.31036e-09, 0.999878, -0.0156026, 0.999829, -0.000288371, -0.0184795, -90.7927, 1.46592, 188.148) + +[node name="FenceRight34_3" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-0.0184818, -0.0155999, -0.999707, 7.31036e-09, 0.999878, -0.0156026, 0.999829, -0.000288371, -0.0184795, -90.5606, 1.88418, 188.148) + +[node name="FenceRight34_1" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -89.548, 1.87803, 189.172) + +[node name="FenceRight34_4" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -89.548, 1.87803, 191.028) + +[node name="FenceRight34_5" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999877, -89.5482, 1.87803, 192.511) + +[node name="FenceLeft35" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.5245, 1.85969, 184.584) + +[node name="FenceLeft36" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.5245, 1.85969, 186.405) + +[node name="FenceLeft37" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.5245, 1.85969, 188.329) + +[node name="FenceLeft38" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.5245, 1.85969, 190.184) + +[node name="Fence" parent="Objects/Fences" instance=ExtResource("14_b1bgw")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.5245, 1.7616794, 192.12872) + +[node name="FenceRight34_6" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -89.5606, 2.79638, 194.481) + +[node name="FenceLeft40" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.5066, 2.77459, 194.581) + +[node name="FenceRight34_7" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -89.5606, 3.74669, 197.075) + +[node name="FenceLeft41" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 4.95504e-09, -1.50996e-07, 4.95504e-09, 1, 0, 1.50996e-07, -7.4819e-16, -1, -87.5066, 3.7249, 197.175) + +[node name="FenceRight34_8" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -89.5606, 4.07725, 199.094) + +[node name="FenceRight34_9" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -89.5606, 4.07725, 200.34) + +[node name="FenceRight34_10" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, -0.0157073, -0.999876, 0, 0.999877, -0.0157073, 1, -6.86589e-10, -4.3706e-08, -88.5384, 4.07725, 201.345) + +[node name="FenceRight34_11" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, -0.0157073, -0.999876, 0, 0.999877, -0.0157073, 1, -6.86589e-10, -4.3706e-08, -86.5789, 4.07725, 201.345) + +[node name="FenceRight34_12" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, -0.0157073, -0.999876, 0, 0.999877, -0.0157073, 1, -6.86589e-10, -4.3706e-08, -84.7937, 4.07725, 201.345) + +[node name="FenceRight34_13" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -83.8441, 4.07725, 202.234) + +[node name="FenceRight34_14" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -83.8441, 4.07725, 204.169) + +[node name="FenceRight34_15" parent="Objects/Fences" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, -1.37318e-09, -8.7412e-08, 0, 0.999877, -0.0157073, 8.74228e-08, -0.0157073, -0.999876, -83.8441, 4.07725, 206.122) + +[node name="FenceLeft42" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -86.4879, 4.05546, 198.67) + +[node name="FenceLeft43" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -84.5478, 4.05546, 198.67) + +[node name="FenceLeft44" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -82.6242, 4.05546, 198.67) + +[node name="FenceLeft45" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -80.8244, 4.05546, 198.67) + +[node name="FenceLeft46" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -79.8908, 4.05546, 199.682) + +[node name="FenceLeft47" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -79.8908, 4.05546, 201.652) + +[node name="FenceLeft48" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -79.8908, 4.05546, 203.55) + +[node name="FenceLeft49" parent="Objects/Fences" instance=ExtResource("4_cqscc")] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -79.8908, 4.05546, 205.343) + +[node name="no_arrows" type="Node3D" parent="Objects/Fences"] +transform = Transform3D(0, 1, 0, -1, 0, 0, 0, 0, 1, -2.27423, 1.59781, 0.997225) + +[node name="barrier_throw" type="Node3D" parent="Objects/Fences/no_arrows"] + +[node name="fence_small" parent="Objects/Fences/no_arrows/barrier_throw" instance=ExtResource("13_mix7h")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3.3345802, -87.4112, 180.51653) + +[node name="fence_small2" parent="Objects/Fences/no_arrows/barrier_throw" instance=ExtResource("13_mix7h")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3.3345802, -87.4112, 179.12836) + +[node name="fence_small3" parent="Objects/Fences/no_arrows/barrier_throw" instance=ExtResource("13_mix7h")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3.3345802, -87.4112, 177.79944) + +[node name="Fence" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-7.31036e-09, -0.999878, 0.0156026, -0.655874, -0.0117779, -0.754778, 0.75487, -0.0102333, -0.655795, -2.11772, -84.0902, 176.844) + +[node name="Fence2" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0, -0.999876, 0.0157073, 1, 0, 0, 0, 0.0157073, 0.999876, -2.11772, -83.8413, 177.966) + +[node name="Fence3" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0, -0.999876, 0.0157073, 1, 0, 0, 0, 0.0157073, 0.999876, -2.11772, -83.8413, 179.703) + +[node name="Fence4" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(0, -0.999876, 0.0157073, 0.764809, -0.0101195, -0.644178, 0.644257, 0.0120131, 0.764714, -2.11772, -84.2901, 181.044) + +[node name="Fence5" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(6.00011e-10, -0.999876, 0.0157073, 0.143199, -0.0155454, -0.989572, 0.989694, 0.00224927, 0.143181, -2.11772, -85.4967, 181.62) + +[node name="Fence6" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, 0, -4.37114e-08, 1.91069e-15, -1, 1, -4.37114e-08, -4.37114e-08, 0.640379, -89.2769, 177.158) + +[node name="Fence7" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, -0.999982, 4.37106e-08, 0.00593417, -0.00593417, 2.59391e-10, -0.999982, 0.810324, -90.2972, 176.486) + +[node name="Fence8" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, 0, -4.37114e-08, 1.91069e-15, -1, 1, -4.37114e-08, -4.37114e-08, 0.886512, -91.4174, 175.573) + +[node name="Fence9" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, 0, -4.37114e-08, 1.91069e-15, -1, 1, -4.37114e-08, -4.37114e-08, 0.761412, -93.5044, 175.573) + +[node name="Fence10" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, 0.999999, -4.37113e-08, 0.00116932, -0.00116932, 5.11127e-11, 0.999999, 0.761412, -94.4604, 176.586) + +[node name="Fence11" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, 0.999999, -4.37113e-08, 0.00116932, -0.00116932, 5.11127e-11, 0.999999, 0.761412, -94.8221, 178.795) + +[node name="Fence12" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, 0.999999, -4.37113e-08, 0.00116932, -0.00116932, 5.11127e-11, 0.999999, 1.1419, -94.8221, 180.752) + +[node name="Fence13" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, 0.999999, -4.37113e-08, 0.00116932, -0.00116932, 5.11127e-11, 0.999999, 1.1419, -94.8221, 182.573) + +[node name="Fence14" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, 0.999999, -4.37113e-08, 0.00116932, -0.00116932, 5.11127e-11, 0.999999, 1.1419, -94.8221, 184.477) + +[node name="Fence15" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, 0.999999, -4.37113e-08, 0.00116932, -0.00116932, 5.11127e-11, 0.999999, 1.1419, -94.8221, 186.374) + +[node name="Fence16" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, -1.55294e-22, 0.999999, -4.37113e-08, 0.00116932, -0.00116932, 5.11127e-11, 0.999999, 1.1419, -94.8221, 187.619) + +[node name="Fence17" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, 6.93858e-18, -0.00293211, 1.28167e-10, 0.999996, -0.999996, 4.37112e-08, -0.00293211, 1.1419, -93.6129, 188.436) + +[node name="Fence18" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, 6.93858e-18, -0.00293211, 1.28167e-10, 0.999996, -0.999996, 4.37112e-08, -0.00293211, 1.1419, -91.643, 188.436) + +[node name="Fence19" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, 6.93858e-18, -0.00293211, 1.28167e-10, 0.999996, -0.999996, 4.37112e-08, -0.00293211, 1.1419, -90.4027, 188.436) + +[node name="Fence20" parent="Objects/Fences/no_arrows" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-4.37114e-08, -1, 1.38772e-17, -0.999984, 4.37107e-08, -0.00561994, 0.00561994, -2.45659e-10, -0.999984, 1.1419, -89.4382, 188.095) + +[node name="start_chip" type="Node3D" parent="Objects/Fences"] + +[node name="FenceLeft" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -96.9217, 3.90628, 206.798) +collision_mask = 13 + +[node name="FenceLeft2" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -96.9217, 3.90628, 208.704) +collision_mask = 13 + +[node name="FenceLeft3" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -96.9217, 3.90628, 210.541) +collision_mask = 13 + +[node name="FenceLeft4" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -96.9217, 3.90628, 212.226) +collision_mask = 13 + +[node name="FenceLeft5" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(0.984248, 0, 0.176793, 0, 1, 0, -0.176793, 0, 0.984248, -96.7585, 3.90628, 213.56) +collision_mask = 13 + +[node name="FenceLeft6" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(0.328059, 0, 0.944657, 0, 1, 0, -0.944657, 0, 0.328059, -95.8491, 3.97378, 214.206) +collision_mask = 13 + +[node name="FenceLeft7" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -94.1757, 3.97378, 214.591) +collision_mask = 13 + +[node name="FenceLeft8" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -92.2696, 3.97378, 214.591) +collision_mask = 13 + +[node name="FenceLeft9" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -90.3903, 3.97378, 214.591) +collision_mask = 13 + +[node name="FenceLeft10" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -88.6047, 3.97378, 214.591) +collision_mask = 13 + +[node name="FenceLeft11" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -86.9133, 3.97378, 214.591) +collision_mask = 13 + +[node name="FenceLeft12" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -85.1005, 3.97378, 214.591) +collision_mask = 13 + +[node name="FenceLeft13" parent="Objects/Fences/start_chip" instance=ExtResource("4_cqscc")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -83.2934, 3.97378, 214.591) +collision_mask = 13 + +[node name="FenceRight2" parent="Objects/Fences/start_chip" instance=ExtResource("5_sbveb")] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -96.857, 3.91758, 200.789) +collision_mask = 13 + +[node name="FenceRight3" parent="Objects/Fences/start_chip" instance=ExtResource("5_sbveb")] +transform = Transform3D(-0.85212, 0, 0.523347, 0, 1, 0, -0.523347, 0, -0.85212, -96.292, 3.91758, 199.167) +collision_mask = 13 + +[node name="FenceRight4" parent="Objects/Fences/start_chip" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -95.0536, 3.91758, 198.58) +collision_mask = 13 + +[node name="FenceRight5" parent="Objects/Fences/start_chip" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -93.2125, 3.91758, 198.58) +collision_mask = 13 + +[node name="FenceRight6" parent="Objects/Fences/start_chip" instance=ExtResource("5_sbveb")] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -91.3921, 3.91758, 198.58) +collision_mask = 13 + +[node name="Fence21" parent="Objects/Fences/start_chip" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-0.999984, 4.37107e-08, -0.00561994, 4.37114e-08, 1, -1.38772e-17, 0.00561994, -2.45659e-10, -0.999984, -79.879, 3.98099, 207.275) +collision_mask = 13 + +[node name="Fence22" parent="Objects/Fences/start_chip" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-0.999984, 4.37107e-08, -0.00561994, 4.37114e-08, 1, -1.38772e-17, 0.00561994, -2.45659e-10, -0.999984, -79.879, 3.98099, 209.272) +collision_mask = 13 + +[node name="Fence23" parent="Objects/Fences/start_chip" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-0.999984, 4.37107e-08, -0.00561994, 4.37114e-08, 1, -1.38772e-17, 0.00561994, -2.45659e-10, -0.999984, -79.879, 3.98099, 211.273) +collision_mask = 13 + +[node name="Fence24" parent="Objects/Fences/start_chip" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-0.999984, 4.37107e-08, -0.00561994, 4.37114e-08, 1, -1.38772e-17, 0.00561994, -2.45659e-10, -0.999984, -79.879, 3.98099, 213.076) +collision_mask = 13 + +[node name="Fence25" parent="Objects/Fences/start_chip" instance=ExtResource("14_1gx3w")] +transform = Transform3D(4.37114e-08, 1.91069e-15, 1, 4.37114e-08, 1, -3.82137e-15, -1, 4.37114e-08, 4.37114e-08, -81.3296, 3.90058, 214.586) +collision_mask = 13 + +[node name="Fence26" parent="Objects/Fences/start_chip" instance=ExtResource("14_1gx3w")] +transform = Transform3D(-0.648027, 2.83262e-08, 0.761617, 4.37114e-08, 1, -3.82137e-15, -0.761617, 3.32914e-08, -0.648027, -80.347, 3.88024, 214.255) +collision_mask = 13 + +[node name="lamp" type="Node3D" parent="Objects"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -97.3579, -0.0608139, 164.311) + +[node name="Cube_015" type="MeshInstance3D" parent="Objects/lamp"] +transform = Transform3D(0.341868, 0, 0, 0, 0.341868, 0, 0, 0, 0.341868, -5.01564, 1.26421, 0) +mesh = SubResource("ArrayMesh_5vwmg") +skeleton = NodePath("") + +[node name="Cylinder_007" type="MeshInstance3D" parent="Objects/lamp"] +transform = Transform3D(0.461617, 0, 0, 0, 0.61668, 0, 0, 0, 0.461617, -5.00641, 0.389222, 0) +mesh = SubResource("ArrayMesh_srhxb") +skeleton = NodePath("") + +[node name="lamp2" type="Node3D" parent="Objects"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -89.8196, -1.84134, 174.076) + +[node name="Cube_015" type="MeshInstance3D" parent="Objects/lamp2"] +transform = Transform3D(0.341868, 0, 0, 0, 0.341868, 0, 0, 0, 0.341868, -5.01564, 1.26421, 0) +mesh = SubResource("ArrayMesh_5vwmg") +skeleton = NodePath("") + +[node name="Cylinder_007" type="MeshInstance3D" parent="Objects/lamp2"] +transform = Transform3D(0.461617, 0, 0, 0, 0.61668, 0, 0, 0, 0.461617, -5.00641, 0.389222, 0) +mesh = SubResource("ArrayMesh_srhxb") +skeleton = NodePath("") + +[node name="servers" type="Node3D" parent="Objects"] + +[node name="server" type="Node3D" parent="Objects/servers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -105.003, 0, 171.647) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server2" type="Node3D" parent="Objects/servers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -92.9681, 0, 171.647) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server3" type="Node3D" parent="Objects/servers"] +transform = Transform3D(0.6, 0, 0, 0, 0.6, 0, 0, 0, 0.6, -85.6855, -1.43501, 171.647) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server4" type="Node3D" parent="Objects/servers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -139.754, 0, 176.463) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server4"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server5" type="Node3D" parent="Objects/servers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -127.718, 0, 174.803) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server5"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server6" type="Node3D" parent="Objects/servers"] +transform = Transform3D(0.793644, -0.100641, 0, 0.100641, 0.793644, 0, 0, 0, 0.8, -115.929, -1.87743, 173.417) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server6"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server7" type="Node3D" parent="Objects/servers"] +transform = Transform3D(0.974232, 0.225546, 0, -0.225546, 0.974232, 0, 0, 0, 1, -157.561, -3.59413, 173.417) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server7"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server8" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-4.37114e-08, 0, 1, 0.101195, 0.994867, 4.42338e-09, -0.994867, 0.101195, -4.3487e-08, -152.357, 0, 167.007) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server8"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server9" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-3.45683e-08, 5.36875e-09, 0.8, 0.121643, 0.790698, -5.00617e-11, -0.790698, 0.121643, -3.49827e-08, -155.425, -1.87743, 155.54) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server9"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server11" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-3.45683e-08, 5.36875e-09, 0.8, 0.0835672, 0.795623, -1.72841e-09, -0.795623, 0.0835672, -3.494e-08, -148.611, -1.87743, 198.278) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server11"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server10" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-4.1827e-08, -1.31332e-08, 1, -0.161879, 0.986811, 6.18908e-09, -0.986811, -0.161879, -4.34013e-08, -149.436, -3.59413, 186.674) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server10"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server12" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-0.627963, 0, -0.778243, 0, 1, 0, 0.778243, 0, -0.627963, -53.5718, 0, 219.371) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server12"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server13" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-0.558362, -0.0874372, -0.700419, -0.139239, 0.889164, 2.47513e-09, 0.691986, 0.108362, -0.565167, -42.4128, -1.53079, 208.21) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server13"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server14" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-0.126795, 0, -0.58645, 0, 0.6, 0, 0.58645, 0, -0.126795, -38.038, -1.43501, 202.067) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server14"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="server15" type="Node3D" parent="Objects/servers"] +transform = Transform3D(-0.907777, 0, 0.419452, 0, 1, 0, -0.419452, 0, -0.907777, -67.2214, 0, 220.276) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/servers/server15"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.9376, 15.4548, -21.054) +mesh = ExtResource("16_rvy4c") +skeleton = NodePath("") + +[node name="spaceship" type="Node3D" parent="Objects"] +transform = Transform3D(-0.552955, 0, -0.833211, 0, 1, 0, 0.833211, 0, -0.552955, -99.3979, 4.89939, 187.531) + +[node name="Door" type="Area3D" parent="Objects/spaceship"] +transform = Transform3D(-3.72493e-08, -0.85216606, -0.5232721, 1, -4.37114e-08, 0, -2.2872996e-08, -0.5232721, 0.85216606, 12.729599, -7.4560366, -21.449203) +collision_layer = 4 + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Objects/spaceship/Door"] +transform = Transform3D(1, 8.88178e-16, 0, 8.88178e-16, 1, 0, 0, 0, 1, 0, 0, 0) +mesh = SubResource("PlaneMesh_q8wtv") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/spaceship/Door"] +transform = Transform3D(-4.37002e-08, 1, -9.88644e-10, -0.999744, -4.37114e-08, -0.0226176, -0.0226176, -2.4264e-14, 0.999744, 0.0589638, 0.269943, 0.0506897) +shape = SubResource("BoxShape3D_o1o1v") + +[node name="Shuttle" type="StaticBody3D" parent="Objects/spaceship"] +transform = Transform3D(0.838528, 0, -0.544859, 0, 1, 0, 0.544859, 0, 0.838528, 14.9791, 6.047, -20.1138) +collision_layer = 6 + +[node name="Shuttle_new" type="MeshInstance3D" parent="Objects/spaceship/Shuttle"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 1.52588e-05, 0, 1.52588e-05) +mesh = SubResource("ArrayMesh_qf7q0") +skeleton = NodePath("") + +[node name="window1" type="MeshInstance3D" parent="Objects/spaceship/Shuttle/Shuttle_new"] +transform = Transform3D(0, 0.5, 0, -1, 0, 0, 0, 0, 1, 2.01968, 3.37049, 0) +mesh = SubResource("ArrayMesh_s344l") +skeleton = NodePath("") + +[node name="window2" type="MeshInstance3D" parent="Objects/spaceship/Shuttle/Shuttle_new"] +transform = Transform3D(0, -0.5, 0, 1, 0, 0, 0, 0, 1, -2.13245, 3.37049, -2.28882e-05) +mesh = SubResource("ArrayMesh_xcelp") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/spaceship/Shuttle"] +shape = SubResource("CapsuleShape3D_d172s") + +[node name="CollisionShape3D2" type="CollisionShape3D" parent="Objects/spaceship/Shuttle"] +transform = Transform3D(0.857078, 0, -0.515188, 0, 1, 0, 0.515188, 0, 0.857078, -1.67503, -4.81398, 2.52272) +shape = SubResource("BoxShape3D_d172s") + +[node name="keypad" type="MeshInstance3D" parent="Objects/spaceship"] +transform = Transform3D(-0.721591, 0, -0.692319, 0, 1, 0, 0.692319, 0, -0.721591, 13.1185, 0.0904756, -21.5682) +visible = false +mesh = SubResource("ArrayMesh_kn2ef") +skeleton = NodePath("") + +[node name="Label3D" type="Label3D" parent="Objects/spaceship/keypad"] +transform = Transform3D(1, 0, -5.96046e-08, 0, 1, 0, 5.96046e-08, 0, 1, 0.00621033, 0.764771, 0.267517) +modulate = Color(0, 0.948034, 0.903071, 1) +text = "Passcode erforderlich" +font_size = 24 + +[node name="door_cover" type="StaticBody3D" parent="Objects/spaceship"] +transform = Transform3D(1, 0, -1.30188e-07, 0, 1, 0, 1.30188e-07, 0, 1, 13.5611, 0.234027, -20.9163) +collision_layer = 4 + +[node name="Cylinder_007" type="MeshInstance3D" parent="Objects/spaceship/door_cover"] +transform = Transform3D(1.5, 0, 0, 0, 1.5, 0, 0, 0, 1.5, 0.464874, 0, 0.232155) +mesh = SubResource("ArrayMesh_qqty7") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/spaceship/door_cover"] +transform = Transform3D(0.881369, 0, -0.472428, 0, 1, 0, 0.472428, 0, 0.88137, 0.322479, 0, 0.0855637) +shape = SubResource("BoxShape3D_uctae") + +[node name="Balloons" type="Node3D" parent="Objects"] + +[node name="Balloon" parent="Objects/Balloons" instance=ExtResource("4_k3ert")] +transform = Transform3D(-4.371139e-08, 0, 1, 0, 1, 0, -1, 0, -4.371139e-08, -102.932, 6.18909, 202.597) +wait_time = 0.1 +image_path = "res://assets/Images/spiel_ballon_p1.png" + +[node name="Block" parent="Objects/Balloons/Balloon" instance=ExtResource("14_l12ci")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.014640808, -1.32482, -0.0098724365) + +[node name="MeshInstance3D" parent="Objects/Balloons/Balloon/Block" index="0"] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, 0, 0, 0) + +[node name="CollisionShape3D" parent="Objects/Balloons/Balloon/Block" index="1"] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, 0, 0, 0) + +[node name="Balloon2" parent="Objects/Balloons" instance=ExtResource("4_k3ert")] +transform = Transform3D(-6.556708e-08, 0, 1.5, 0, 1.5, 0, -1.5, 0, -6.556708e-08, -105.223, 5.90453, 203.227) +wait_time = 0.1 +image_path = "res://assets/Images/spiel_ballon_p2.png" + +[node name="Block2" parent="Objects/Balloons/Balloon2" instance=ExtResource("14_l12ci")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.0297623, -1.25758, -0.0357513) + +[node name="MeshInstance3D" parent="Objects/Balloons/Balloon2/Block2" index="0"] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, 0, 0, 0) + +[node name="CollisionShape3D" parent="Objects/Balloons/Balloon2/Block2" index="1"] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, 0, 0, 0) + +[node name="Balloon3" parent="Objects/Balloons" instance=ExtResource("4_k3ert")] +transform = Transform3D(-6.556708e-08, 0, 1.5, 0, 1.5, 0, -1.5, 0, -6.556708e-08, -106.882, 5.21018, 204.684) +wait_time = 0.1 +image_path = "res://assets/Images/spiel_ballon_p3.png" + +[node name="Block3" parent="Objects/Balloons/Balloon3" instance=ExtResource("14_l12ci")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.035491943, -1.3535202, -0.018173218) + +[node name="MeshInstance3D" parent="Objects/Balloons/Balloon3/Block3" index="0"] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, 0, 0, 0) + +[node name="CollisionShape3D" parent="Objects/Balloons/Balloon3/Block3" index="1"] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, 0, 0, 0) + +[node name="Easter_Egg" type="Node3D" parent="Objects"] +transform = Transform3D(-4.371139e-08, 0, 1, 0, 1, 0, -1, 0, -4.371139e-08, -92.15188, 1.3212111, 203.60631) + +[node name="Balloon_frog" parent="Objects/Easter_Egg" instance=ExtResource("17_624o1")] +transform = Transform3D(0.73978376, 0, 0.67284465, 0, 1, 0, -0.67284465, 0, 0.73978376, -4.7164764, -0.3873353, 1.951889) +balloon_resource = "res://Resources/meshes/frog.tres" + +[node name="Balloon_bird" parent="Objects/Easter_Egg" instance=ExtResource("17_624o1")] +transform = Transform3D(0.29857448, 0, 0.95438635, 0, 1, 0, -0.95438635, 0, 0.29857448, -6.0603485, -0.998734, 7.5568085) +balloon_resource = "res://Resources/meshes/bird.tres" + +[node name="Balloon_whale" parent="Objects/Easter_Egg" instance=ExtResource("17_624o1")] +transform = Transform3D(0.58826524, 0, 0.8086681, 0, 1, 0, -0.8086681, 0, 0.58826524, -6.683914, -0.7562051, 4.311821) +balloon_resource = "res://Resources/meshes/whale.tres" + +[node name="Balloon_dog" parent="Objects/Easter_Egg" instance=ExtResource("17_624o1")] +transform = Transform3D(0.9939571, 0, 0.10976901, 0, 1, 0, -0.10976901, 0, 0.9939571, -3.1965485, -0.4461236, 0.10567474) + +[node name="Balloon_giraffe" parent="Objects/Easter_Egg" instance=ExtResource("17_624o1")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.48332214, -0.35177898, 0) +balloon_resource = "res://Resources/meshes/giraffe.tres" + +[node name="Balloon_dino2" parent="Objects/Easter_Egg" instance=ExtResource("17_624o1")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 2.1220398, -0.37032318, 1.8044891) +balloon_resource = "res://Resources/meshes/dino2.tres" + +[node name="Balloon_dino1" parent="Objects/Easter_Egg" instance=ExtResource("17_624o1")] +transform = Transform3D(0.6577303, 0, -0.7532535, 0, 1, 0, 0.7532535, 0, 0.6577303, 3.7250519, -0.6533036, 4.178215) +balloon_resource = "res://Resources/meshes/dino1.tres" + +[node name="Label3D" type="Label3D" parent="Objects/Easter_Egg"] +transform = Transform3D(0.9063077, 0, 0.42261824, 0, 1, 0, -0.42261824, 0, 0.9063077, -1.0948029, -2.2045398, 2.7432632) +text = "Vorbeilaufen oder Abwerfen zum Auswählen" +outline_size = 8 + +[node name="Label3D2" type="Label3D" parent="Objects/Easter_Egg"] +transform = Transform3D(0.5917882, 0, 0.8060935, 0, 1, 0, -0.8060935, 0, 0.5917882, -1.2124329, -1.6598244, 3.0003967) +modulate = Color(0.15294118, 1, 1, 1) +text = "Verstecktes Lager mit Spezial-Accessoires gefunden!" +font_size = 38 +outline_size = 8 + +[node name="Arrow" parent="Objects/Easter_Egg" instance=ExtResource("4_yahjh")] +transform = Transform3D(0.47364238, 0, 0.5154251, 0, 0.70000005, 0, -0.5154251, 0, 0.47364238, 4.885269, -1.347724, 11.988892) +collision_layer = 0 +collision_mask = 0 + +[node name="trail" type="MeshInstance3D" parent="Objects/Easter_Egg"] +transform = Transform3D(-0.39705357, 0, 0.3038889, 0, 0.5, 0, -0.3038889, 0, -0.39705357, 9.937271, -0.30890012, 7.42688) +mesh = ExtResource("18_fb04v") + +[node name="trail5" type="MeshInstance3D" parent="Objects/Easter_Egg"] +transform = Transform3D(-0.39705357, 0, 0.3038889, 0, 0.5, 0, -0.3038889, 0, -0.39705357, 11.320633, 0.71119666, 5.67453) +mesh = ExtResource("18_fb04v") + +[node name="trail4" type="MeshInstance3D" parent="Objects/Easter_Egg"] +transform = Transform3D(-0.39705357, 0, 0.3038889, 0, 0.5, 0, -0.3038889, 0, -0.39705357, 9.225052, -0.30890012, 8.75885) +mesh = ExtResource("18_fb04v") + +[node name="trail1" type="MeshInstance3D" parent="Objects/Easter_Egg"] +transform = Transform3D(-0.43921688, 0, 0.23893201, 0, 0.5, 0, -0.23893201, 0, -0.43921688, 8.800171, -0.30890012, 10.0750885) +mesh = ExtResource("18_fb04v") + +[node name="trail2" type="MeshInstance3D" parent="Objects/Easter_Egg"] +transform = Transform3D(-0.2758303, 1.6996637e-08, 0.41703436, 0.004781969, 0.49996713, 0.0031628169, -0.41700694, 0.0057332925, -0.27581215, 7.950348, -1.3093868, 12.395287) +mesh = ExtResource("18_fb04v") + +[node name="trail3" type="MeshInstance3D" parent="Objects/Easter_Egg"] +transform = Transform3D(0.100795336, 0, 0.48973492, 0, 0.5, 0, -0.48973492, 0, 0.100795336, 6.557083, -1.2625353, 13.11451) +mesh = ExtResource("18_fb04v") + +[node name="rabbit" type="MeshInstance3D" parent="Objects/Easter_Egg"] +transform = Transform3D(0.65576905, 0, -0.244882, 0, 0.7, 0, 0.244882, 0, 0.65576905, 11.654068, 0.8643799, 4.2198563) +mesh = ExtResource("19_mix7h") + +[node name="start_rabbit" type="Area3D" parent="Objects/Easter_Egg"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 14.246902, 0.7018075, 3.1621246) +collision_layer = 4 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Objects/Easter_Egg/start_rabbit"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.19259739, 0.2924881) +shape = SubResource("BoxShape3D_rvy4c") + +[node name="pressure_blocks" type="Node3D" parent="Objects"] + +[node name="PressureBlock_A1" parent="Objects/pressure_blocks" instance=ExtResource("15_n6emc")] +transform = Transform3D(1.5, 0, 0, 0, 1.5, 0, 0, 0, 1.5, -119.335, 1.90521, 199.78) + +[node name="Label3D" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.0212021, 0.227379, 0.538483) +text = "Aufgabe 1" + +[node name="Label3D2" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A1"] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -0.462105, 0.227379, 0.0402069) +text = "Aufgabe 1" + +[node name="Label3D3" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A1"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -0.0716324, 0.227379, -0.426834) +text = "Aufgabe 1" + +[node name="Label3D4" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A1"] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, 0.421196, 0.227379, -0.0301208) +text = "Aufgabe 1" + +[node name="PressureBlock_A2" parent="Objects/pressure_blocks" instance=ExtResource("15_n6emc")] +transform = Transform3D(-6.55671e-08, 0, -1.5, 0, 1.5, 0, 1.5, 0, -6.55671e-08, -99.9195, 2.05228, 170.424) + +[node name="Label3D" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0157394, 0.227379, 0.491547) +text = "Aufgabe 2" + +[node name="Label3D2" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A2"] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -0.460144, 0.227379, 0.0241394) +text = "Aufgabe 2" + +[node name="Label3D3" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A2"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, 0.0236588, 0.227379, -0.487915) +text = "Aufgabe 2" + +[node name="Label3D4" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A2"] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, 0.438354, 0.227379, 0.0241394) +text = "Aufgabe 2" + +[node name="PressureBlock_A3" parent="Objects/pressure_blocks" instance=ExtResource("15_n6emc")] +transform = Transform3D(-1.5, 0, -1.31134e-07, 0, 1.5, 0, 1.31134e-07, 0, -1.5, -82.7234, 3.78661, 200.859) +text_on_activation = "res://Interact/dialogue/explain_ordering_game.dialogue" + +[node name="Label3D" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0716324, 0.227379, 0.500092) +text = "Aufgabe 3" + +[node name="Label3D2" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A3"] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, 0.410625, 0.227379, 0.0306549) +text = "Aufgabe 3" + +[node name="Label3D3" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A3"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -0.0290184, 0.227379, -0.518616) +text = "Aufgabe 3" + +[node name="Label3D4" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A3"] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -0.502998, 0.227379, 0.0580139) +text = "Aufgabe 3" + +[node name="PressureBlock_A3_1" parent="Objects/pressure_blocks" instance=ExtResource("15_n6emc")] +transform = Transform3D(-2.79742, 0, -8.69725e-07, 0, 5, 0, 4.22398e-07, 0, -5.75993, -81.7063, 3.7075267, 209.986) +active_color = Color(0, 0, 0, 1) +inactive_color = Color(0, 0, 0, 1) +text_on_activation = "res://Interact/dialogue/explain_ordering_game.dialogue" + +[node name="PressureBlock_A4" parent="Objects/pressure_blocks" instance=ExtResource("15_n6emc")] +transform = Transform3D(-1.5, 0, -1.31134e-07, 0, 1.5, 0, 1.31134e-07, 0, -1.5, -87.2694, -4.2316985, 209.997) +text_on_activation = "res://Interact/dialogue/keypad.dialogue" + +[node name="Label3D" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A4"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0716324, 0.227379, 0.500092) +text = "Aufgabe 4" + +[node name="Label3D2" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A4"] +transform = Transform3D(-4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, 0.410625, 0.227379, 0.0306549) +text = "Aufgabe 4" + +[node name="Label3D3" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A4"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -0.0290184, 0.227379, -0.518616) +text = "Aufgabe 4" + +[node name="Label3D4" type="Label3D" parent="Objects/pressure_blocks/PressureBlock_A4"] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -0.502998, 0.227379, 0.0580139) +text = "Aufgabe 4" + +[node name="npcs" type="Node3D" parent="."] + +[node name="aliens" type="Node3D" parent="npcs"] + +[node name="alien" type="Node3D" parent="npcs/aliens"] +transform = Transform3D(1.47021, 0, 1.35591, 0, 2, 0, -1.35591, 0, 1.47021, -126.308, 2.98865, 176.244) + +[node name="Cube_096" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.283238, 0, -0.0807038, 0, 0.294511, 0, 0.0807038, 0, 0.283238, 3.24229, 0.536742, 0.384682) +mesh = SubResource("ArrayMesh_d3k76") +skeleton = NodePath("") + +[node name="Cylinder_041" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.0943112, 0.024844, -0.0277891, -0.0258328, 0.098065, 0, 0.0268724, 0.00707888, 0.0975286, 3.29374, 0.85637, 0.38781) +mesh = SubResource("ArrayMesh_t6nxl") +skeleton = NodePath("") + +[node name="Cylinder_042" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.0943112, 0.024844, -0.0277891, -0.0258328, 0.098065, 0, 0.0268724, 0.00707888, 0.0975286, 3.29374, 0.85637, 0.38781) +mesh = SubResource("ArrayMesh_7nih3") +skeleton = NodePath("") + +[node name="Plane_051" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.772021, 0, -0.219974, 0, 0.802749, 0, 0.219974, 0, 0.772021, 3.1878, 0.625124, 0.618416) +mesh = SubResource("ArrayMesh_nqioi") +skeleton = NodePath("") + +[node name="Plane_052" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.772021, 0, -0.219974, 0, 0.802749, 0, 0.219974, 0, 0.772021, 3.18373, 0.621078, 0.623558) +mesh = SubResource("ArrayMesh_3pik8") +skeleton = NodePath("") + +[node name="Plane_053" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.772021, 0, -0.219974, 0, 0.802749, 0, 0.219974, 0, 0.772021, 3.08036, 0.569469, 0.549088) +mesh = SubResource("ArrayMesh_iud7i") +skeleton = NodePath("") + +[node name="Plane_054" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.772021, 0, -0.219974, 0, 0.802749, 0, 0.219974, 0, 0.772021, 3.09782, 0.565943, 0.55838) +mesh = SubResource("ArrayMesh_pclgo") +skeleton = NodePath("") + +[node name="Plane_055" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.772021, 0, -0.219974, 0, 0.802749, 0, 0.219974, 0, 0.772021, 3.32678, 0.526724, 0.64109) +mesh = SubResource("ArrayMesh_2qsys") +skeleton = NodePath("") + +[node name="Plane_056" type="MeshInstance3D" parent="npcs/aliens/alien"] +transform = Transform3D(0.772021, 0, -0.219974, 0, 0.802749, 0, 0.219974, 0, 0.772021, 3.30559, 0.522745, 0.638077) +mesh = SubResource("ArrayMesh_kkqg5") +skeleton = NodePath("") + +[node name="alien2" type="Node3D" parent="npcs/aliens"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -104.956, -1.8485, 178.397) + +[node name="Cube_095" type="MeshInstance3D" parent="npcs/aliens/alien2"] +transform = Transform3D(0.294511, 0, 0, 0, 0.294511, 0, 0, 0, 0.294511, 1.8337, 0.536742, -0.388947) +mesh = SubResource("ArrayMesh_lfutv") +skeleton = NodePath("") + +[node name="Cylinder_039" type="MeshInstance3D" parent="npcs/aliens/alien2"] +transform = Transform3D(0.098065, 0.0258328, 0, -0.0258328, 0.098065, 0, 0, 0, 0.10141, 1.88403, 0.85637, -0.40004) +mesh = SubResource("ArrayMesh_6s02s") +skeleton = NodePath("") + +[node name="Cylinder_040" type="MeshInstance3D" parent="npcs/aliens/alien2"] +transform = Transform3D(0.098065, 0.0258328, 0, -0.0258328, 0.098065, 0, 0, 0, 0.10141, 1.88403, 0.85637, -0.40004) +mesh = SubResource("ArrayMesh_3lrex") +skeleton = NodePath("") + +[node name="Plane_049" type="MeshInstance3D" parent="npcs/aliens/alien2"] +transform = Transform3D(0.18474, 0, 0, 0, 0, -0.18474, 0, 0.18474, 0, 1.85423, 0.588323, -0.178925) +mesh = SubResource("ArrayMesh_cupst") +skeleton = NodePath("") + +[node name="Plane_050" type="MeshInstance3D" parent="npcs/aliens/alien2"] +transform = Transform3D(-0.111486, 0, 0, 0, 0, 0.111486, 0, -0.111486, 0, 1.85669, 0.588076, -0.17337) +mesh = SubResource("ArrayMesh_brcqm") +skeleton = NodePath("") + +[node name="Alien" parent="npcs/aliens" instance=ExtResource("9_wvggi")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -119.455, 2.3292072, 190.374) +dialogue = "res://Interact/dialogue/ai_v1.dialogue" +talkable = true +dissapear_after_dialogoue = true +alienID = 1 + +[node name="Alien2" parent="npcs/aliens" instance=ExtResource("9_wvggi")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -118.944, 2.3239522, 185.226) +dialogue = "res://Interact/dialogue/ai_v2.dialogue" +talkable = true +dissapear_after_dialogoue = true +alienID = 2 + +[node name="Alien3" parent="npcs/aliens" instance=ExtResource("9_wvggi")] +transform = Transform3D(-4.37114e-08, 0, -1, 0, 1, 0, 1, 0, -4.37114e-08, -111.051, 2.2209492, 184.33) +dialogue = "res://Interact/dialogue/ai_v3.dialogue" +talkable = true +dissapear_after_dialogoue = true +alienID = 3 + +[node name="Alien4" parent="npcs/aliens" instance=ExtResource("9_wvggi")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -107.444, 2.2749312, 181.591) +dialogue = "res://Interact/dialogue/ai_v4.dialogue" +talkable = true +dissapear_after_dialogoue = true +alienID = 4 + +[node name="Alien5" parent="npcs/aliens" instance=ExtResource("9_wvggi")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -107.72, 2.5168242, 176.043) +dialogue = "res://Interact/dialogue/ai_v5.dialogue" +talkable = true +dissapear_after_dialogoue = true +alienID = 5 + +[node name="alien5" type="Node3D" parent="npcs/aliens"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -112.437, 0, 192.222) + +[node name="Cube_076" type="MeshInstance3D" parent="npcs/aliens/alien5"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.61905, 0.536742, 2.61607) +mesh = SubResource("ArrayMesh_e4xu0") +skeleton = NodePath("") + +[node name="Cylinder_032" type="MeshInstance3D" parent="npcs/aliens/alien5"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.66937, 0.85637, 2.60498) +mesh = SubResource("ArrayMesh_4adqp") +skeleton = NodePath("") + +[node name="Cylinder_035" type="MeshInstance3D" parent="npcs/aliens/alien5"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.66937, 0.85637, 2.60498) +mesh = SubResource("ArrayMesh_fyqc2") +skeleton = NodePath("") + +[node name="Plane_035" type="MeshInstance3D" parent="npcs/aliens/alien5"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.69381, 0.590277, 2.82669) +mesh = SubResource("ArrayMesh_4giu4") +skeleton = NodePath("") + +[node name="Plane_036" type="MeshInstance3D" parent="npcs/aliens/alien5"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.69575, 0.604676, 2.83105) +mesh = SubResource("ArrayMesh_fnn46") +skeleton = NodePath("") + +[node name="alien6" type="Node3D" parent="npcs/aliens"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -122.382, 0, 174.731) + +[node name="Cube_078" type="MeshInstance3D" parent="npcs/aliens/alien6"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.60892, 0.536742, 2.61607) +mesh = SubResource("ArrayMesh_cwebg") +skeleton = NodePath("") + +[node name="Plane_037" type="MeshInstance3D" parent="npcs/aliens/alien6"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.62424, 0.589826, 2.82655) +mesh = SubResource("ArrayMesh_fpuep") +skeleton = NodePath("") + +[node name="Plane_038" type="MeshInstance3D" parent="npcs/aliens/alien6"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.6263, 0.605126, 2.83119) +mesh = SubResource("ArrayMesh_5vx2f") +skeleton = NodePath("") + +[node name="Cylinder_036" type="MeshInstance3D" parent="npcs/aliens/alien6"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.66648, 0.833442, 2.59455) +mesh = SubResource("ArrayMesh_1tpdi") +skeleton = NodePath("") + +[node name="Cylinder_037" type="MeshInstance3D" parent="npcs/aliens/alien6"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.66924, 0.993436, 2.58346) +mesh = SubResource("ArrayMesh_dxod4") +skeleton = NodePath("") + +[node name="Cylinder_038" type="MeshInstance3D" parent="npcs/aliens/alien6"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.66924, 0.993436, 2.58346) +mesh = SubResource("ArrayMesh_0pv7b") +skeleton = NodePath("") + +[node name="helpers" type="Node3D" parent="npcs"] + +[node name="helper_corner" parent="npcs/helpers" instance=ExtResource("18_e8i08")] +transform = Transform3D(0.006146211, 0, 0.9999782, 0, 1, 0, -0.9999782, 0, 0.006146211, -118.93898, 2.8637764, 203.80515) +prompt_message = "" +dialogue = "res://Interact/dialogue/helper_intro.dialogue" +game_balloon = "/game_balloons/game_balloon_v_1.tscn" +alienID = 99 + +[node name="HUD" parent="." instance=ExtResource("8_b2x1k")] + +[node name="Tutorial" type="Node3D" parent="."] +script = ExtResource("17_n6emc") + +[node name="CanvasLayer" type="CanvasLayer" parent="Tutorial"] + +[node name="Panel" type="Panel" parent="Tutorial/CanvasLayer"] +offset_left = 706.0 +offset_top = 700.0 +offset_right = 1305.9995 +offset_bottom = 850.0 +size_flags_horizontal = 4 +size_flags_vertical = 4 +theme_override_styles/panel = SubResource("StyleBoxFlat_1gx3w") + +[node name="Label" type="Label" parent="Tutorial/CanvasLayer/Panel"] +layout_mode = 0 +offset_left = 15.0 +offset_top = 15.0 +offset_right = 595.0 +offset_bottom = 165.0 +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 2 +theme_override_font_sizes/font_size = 32 +text = "Mach dich mit der +Steuerung vertraut" +autowrap_mode = 3 + +[node name="Panel2" type="Panel" parent="Tutorial/CanvasLayer"] +offset_top = 40.0 +offset_right = 1920.0 +offset_bottom = 120.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_n6emc") + +[node name="Label" type="Label" parent="Tutorial/CanvasLayer/Panel2"] +layout_mode = 0 +offset_left = 570.0 +offset_top = 5.0 +offset_right = 1308.0 +offset_bottom = 72.0 +theme_override_font_sizes/font_size = 48 +text = "Probieren Sie die Steuerung aus" +horizontal_alignment = 1 +vertical_alignment = 1 + +[node name="SubViewportContainer" type="SubViewportContainer" parent="Tutorial/CanvasLayer"] +visible = false +offset_left = 814.0 +offset_top = 551.0 +offset_right = 814.0 +offset_bottom = 551.0 + +[node name="SubViewport" type="SubViewport" parent="Tutorial/CanvasLayer/SubViewportContainer"] +transparent_bg = true +handle_input_locally = false +render_target_update_mode = 0 + +[node name="helper" parent="Tutorial/CanvasLayer/SubViewportContainer/SubViewport" instance=ExtResource("5_uctae")] +transform = Transform3D(0.48502326, -0.8569119, -0.17451195, 8.881784e-16, 0.199556, -0.9798864, 0.8745013, 0.47526783, 0.09678932, -19.187702, 4.6807137, 18.971756) + +[node name="Camera3D" type="Camera3D" parent="Tutorial/CanvasLayer/SubViewportContainer/SubViewport/helper"] +transform = Transform3D(0.99999994, -1.4901161e-07, -2.9802322e-08, 0, 0.99999994, 1.4901161e-08, 0, 0, 1, 0.13141155, 1.447403, 3.336203) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="Tutorial"] +libraries = { +&"": SubResource("AnimationLibrary_h3col") +} + +[node name="Congratulations" type="Node3D" parent="."] + +[node name="CanvasLayer" type="CanvasLayer" parent="Congratulations"] +visible = false + +[node name="Panel" type="Panel" parent="Congratulations/CanvasLayer"] +offset_top = 250.0 +offset_right = 1920.0 +offset_bottom = 450.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_e8i08") + +[node name="Label" type="Label" parent="Congratulations/CanvasLayer/Panel"] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 179.0 +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 5 +theme_override_font_sizes/font_size = 64 +text = "Glückwunsch! +Aufgabe ist geschafft." +horizontal_alignment = 1 +vertical_alignment = 1 + +[node name="Label_repeat" type="Label" parent="Congratulations/CanvasLayer/Panel"] +layout_mode = 0 +offset_left = 324.0 +offset_top = 206.0 +offset_right = 1560.0 +offset_bottom = 251.0 +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 5 +theme_override_font_sizes/font_size = 32 +text = "(Um die Definitionen noch einmal nachzulesen, sprechen Sie mit ihrem Helfer)" +horizontal_alignment = 1 + +[node name="Hinweistexte" type="Node3D" parent="."] + +[node name="CanvasLayer" type="CanvasLayer" parent="Hinweistexte"] +visible = false + +[node name="Panel" type="Panel" parent="Hinweistexte/CanvasLayer"] +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_l12ci") + +[node name="Label" type="Label" parent="Hinweistexte/CanvasLayer/Panel"] +layout_mode = 0 +offset_left = 210.0 +offset_top = 140.0 +offset_right = 1710.0 +offset_bottom = 940.0 +theme_override_font_sizes/font_size = 48 +text = "In der nun folgenden Aufgabe..." +horizontal_alignment = 1 +vertical_alignment = 1 +autowrap_mode = 3 + +[node name="Hilfestellung" type="Node3D" parent="."] + +[node name="CanvasLayer" type="CanvasLayer" parent="Hilfestellung"] +visible = false + +[node name="Panel" type="Panel" parent="Hilfestellung/CanvasLayer"] +offset_right = 1920.0 +offset_bottom = 50.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_n6emc") + +[node name="Label" type="Label" parent="Hilfestellung/CanvasLayer/Panel"] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 50.0 +theme_override_font_sizes/font_size = 36 +text = "...drücken" +horizontal_alignment = 1 +vertical_alignment = 1 + +[node name="Keypad" parent="." instance=ExtResource("21_d172s")] +visible = false + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_b1bgw") +} + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("28_xantc") +volume_db = -10.0 +autoplay = true + +[connection signal="show_door" from="." to="." method="_on_show_door"] +[connection signal="chatbot_opened" from="Player" to="." method="_on_openChatBot"] +[connection signal="inventory_closed" from="Player" to="." method="_on_player_inventory_closed"] +[connection signal="inventory_opened" from="Player" to="." method="_on_player_inventory_opened"] +[connection signal="closing_chatbot" from="Player/Chatbot" to="." method="_on_chatbot_closing_chatbot"] +[connection signal="balloon_popped" from="Objects/Balloons_A2/Balloon" to="." method="_on_balloon_popped"] +[connection signal="tree_exited" from="Objects/Balloons_A2/Balloon" to="." method="_on_balloon_tree_exited"] +[connection signal="battery_collected" from="Objects/Balloons_A2/Balloon/Battery1" to="HUD" method="_on_battery_collected"] +[connection signal="balloon_popped" from="Objects/Balloons_A2/Balloon2" to="." method="_on_balloon_popped"] +[connection signal="tree_exited" from="Objects/Balloons_A2/Balloon2" to="." method="_on_balloon_tree_exited"] +[connection signal="battery_collected" from="Objects/Balloons_A2/Balloon2/Battery2" to="HUD" method="_on_battery_collected"] +[connection signal="balloon_popped" from="Objects/Balloons_A2/Balloon3" to="." method="_on_balloon_popped"] +[connection signal="tree_exited" from="Objects/Balloons_A2/Balloon3" to="." method="_on_balloon_tree_exited"] +[connection signal="battery_collected" from="Objects/Balloons_A2/Balloon3/Battery3" to="HUD" method="_on_battery_collected"] +[connection signal="balloon_popped" from="Objects/Balloons_A2/Balloon4" to="." method="_on_balloon_popped"] +[connection signal="tree_exited" from="Objects/Balloons_A2/Balloon4" to="." method="_on_balloon_tree_exited"] +[connection signal="battery_collected" from="Objects/Balloons_A2/Balloon4/Battery4" to="HUD" method="_on_battery_collected"] +[connection signal="fully_charged" from="Objects/generators/BatteryBox" to="." method="_on_battery_box_fully_charged"] +[connection signal="removed_battery" from="Objects/generators/BatteryBox" to="." method="_on_battery_box_removed_battery"] +[connection signal="fully_charged" from="Objects/generators/BatteryBox2" to="." method="_on_battery_box_fully_charged"] +[connection signal="removed_battery" from="Objects/generators/BatteryBox2" to="." method="_on_battery_box_removed_battery"] +[connection signal="fully_charged" from="Objects/generators/BatteryBox3" to="." method="_on_battery_box_fully_charged"] +[connection signal="removed_battery" from="Objects/generators/BatteryBox3" to="." method="_on_battery_box_removed_battery"] +[connection signal="fully_charged" from="Objects/generators/BatteryBox4" to="." method="_on_battery_box_fully_charged"] +[connection signal="removed_battery" from="Objects/generators/BatteryBox4" to="." method="_on_battery_box_removed_battery"] +[connection signal="body_entered" from="Objects/spaceship/Door" to="." method="_on_door_body_entered"] +[connection signal="balloon_chosen" from="Objects/Easter_Egg/Balloon_frog" to="Player" method="_on_balloon_balloon_chosen"] +[connection signal="balloon_chosen" from="Objects/Easter_Egg/Balloon_bird" to="Player" method="_on_balloon_balloon_chosen"] +[connection signal="balloon_chosen" from="Objects/Easter_Egg/Balloon_whale" to="Player" method="_on_balloon_balloon_chosen"] +[connection signal="balloon_chosen" from="Objects/Easter_Egg/Balloon_dog" to="Player" method="_on_balloon_balloon_chosen"] +[connection signal="balloon_chosen" from="Objects/Easter_Egg/Balloon_giraffe" to="Player" method="_on_balloon_balloon_chosen"] +[connection signal="balloon_chosen" from="Objects/Easter_Egg/Balloon_dino2" to="Player" method="_on_balloon_balloon_chosen"] +[connection signal="balloon_chosen" from="Objects/Easter_Egg/Balloon_dino1" to="Player" method="_on_balloon_balloon_chosen"] +[connection signal="body_entered" from="Objects/Easter_Egg/start_rabbit" to="." method="_on_start_rabbit_body_entered"] +[connection signal="activated" from="Objects/pressure_blocks/PressureBlock_A1" to="." method="_on_pressure_block_a_1_activated"] +[connection signal="deactivated" from="Objects/pressure_blocks/PressureBlock_A1" to="." method="_on_pressure_block_deactivated"] +[connection signal="activated" from="Objects/pressure_blocks/PressureBlock_A2" to="." method="_on_pressure_block_a_2_activated"] +[connection signal="deactivated" from="Objects/pressure_blocks/PressureBlock_A2" to="." method="_on_pressure_block_deactivated"] +[connection signal="activated" from="Objects/pressure_blocks/PressureBlock_A3" to="." method="_on_pressure_block_a3_activated"] +[connection signal="activated" from="Objects/pressure_blocks/PressureBlock_A3_1" to="." method="_on_pressure_block_a_3_1_activated"] +[connection signal="activated" from="Objects/pressure_blocks/PressureBlock_A4" to="." method="_on_pressure_block_a_4_activated"] +[connection signal="dialogue_finished" from="npcs/helpers/helper_corner" to="." method="_on_helper_corner_dialogue_finished"] +[connection signal="game_finished" from="Keypad" to="." method="_on_keypad_game_finished"] +[connection signal="animation_finished" from="AnimationPlayer" to="." method="_on_animation_player_animation_finished"] +[connection signal="finished" from="AudioStreamPlayer" to="." method="_on_audio_stream_player_finished"] + +[editable path="Player"] +[editable path="Objects/Balloons/Balloon/Block"] +[editable path="Objects/Balloons/Balloon2/Block2"] +[editable path="Objects/Balloons/Balloon3/Block3"] diff --git a/Resources/Terrains/chip/terrain_chip001_assets.tres b/Resources/Terrains/chip/terrain_chip001_assets.tres new file mode 100644 index 0000000..29d80f0 --- /dev/null +++ b/Resources/Terrains/chip/terrain_chip001_assets.tres @@ -0,0 +1,73 @@ +[gd_resource type="Terrain3DAssets" load_steps=14 format=3 uid="uid://6rwp0fbsgxt0"] + +[ext_resource type="Texture2D" uid="uid://doplg6oeefgil" path="res://Resources/Terrains/textures/Plastic013A_1K-PNG/packed_albedo_height.png" id="1_0velp"] +[ext_resource type="Texture2D" uid="uid://boexwv4y50kii" path="res://Resources/Terrains/textures/Plastic013A_1K-PNG/packed_normal_roughness.png" id="2_maomq"] +[ext_resource type="Texture2D" uid="uid://b451ixfesvaxq" path="res://Resources/Terrains/textures/Metal049A_1K-PNG/packed_albedo_height.png" id="5_0tk1t"] +[ext_resource type="Texture2D" uid="uid://spq2bgvqimc7" path="res://Resources/Terrains/textures/Metal049A_1K-PNG/packed_normal_roughness.png" id="6_0ubgh"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_kvr3q"] +transparency = 4 +cull_mode = 2 +vertex_color_use_as_albedo = true +backlight_enabled = true +backlight = Color(0.5, 0.5, 0.5, 1) +distance_fade_mode = 1 +distance_fade_min_distance = 128.0 +distance_fade_max_distance = 96.0 + +[sub_resource type="Terrain3DMeshAsset" id="Terrain3DMeshAsset_6ooxi"] +generated_type = 1 +height_offset = 0.5 +material_override = SubResource("StandardMaterial3D_kvr3q") +last_lod = 0 +last_shadow_lod = 0 +lod0_range = 128.0 + +[sub_resource type="Terrain3DTextureAsset" id="Terrain3DTextureAsset_gubgd"] +name = "chip_plastic" +albedo_color = Color(4.81308e-08, 0.191849, 0.19943, 1) +albedo_texture = ExtResource("1_0velp") 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SubResource("ImageTexture_pd7rv") +normal_texture = SubResource("ImageTexture_maomq") + +[resource] +mesh_list = Array[Terrain3DMeshAsset]([SubResource("Terrain3DMeshAsset_6ooxi")]) +texture_list = Array[Terrain3DTextureAsset]([SubResource("Terrain3DTextureAsset_gubgd"), SubResource("Terrain3DTextureAsset_5wp4l"), SubResource("Terrain3DTextureAsset_xixv3")]) diff --git a/Resources/Terrains/chip/terrain_chip001_material.tres b/Resources/Terrains/chip/terrain_chip001_material.tres new file mode 100644 index 0000000..356c3a3 --- /dev/null +++ b/Resources/Terrains/chip/terrain_chip001_material.tres @@ -0,0 +1,15 @@ +[gd_resource type="Terrain3DMaterial" load_steps=2 format=3 uid="uid://dtdjnbbnpdyqg"] + +[ext_resource type="Shader" uid="uid://01qauauvd8aa" path="res://addons/terrain_3d/extras/shaders/minimum.gdshader" id="1_yvehn"] + +[resource] +_shader_parameters = { +&"color_high": Color(0.5019608, 0.4, 0.2, 1), +&"color_low": Color(0.055, 0.216, 0.11, 1), +&"flat_terrain_normals": false, +&"height_scale": 1.0, +&"height_split": 1.0 +} +shader_override_enabled = true +shader_override = ExtResource("1_yvehn") +show_region_grid = true diff --git a/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A.png b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A.png new file mode 100644 index 0000000..dbc096d Binary files /dev/null and b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A.png differ diff --git a/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A.png.import b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A.png.import new file mode 100644 index 0000000..98494c7 --- /dev/null +++ b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A.png.import @@ -0,0 +1,40 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://c2crd1tqwu4i" +path="res://.godot/imported/Metal049A.png-af30c4a6a788f1059dad8d458b88d8e5.ctex" +metadata={ +"vram_texture": false +} + +[deps] + +source_file="res://Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A.png" +dest_files=["res://.godot/imported/Metal049A.png-af30c4a6a788f1059dad8d458b88d8e5.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 diff --git a/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A_1K-PNG.blend b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A_1K-PNG.blend new file mode 100644 index 0000000..4a656e9 Binary files /dev/null and b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A_1K-PNG.blend differ diff --git a/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A_1K-PNG.blend.import b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A_1K-PNG.blend.import new file mode 100644 index 0000000..c6565d6 --- /dev/null +++ b/Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A_1K-PNG.blend.import @@ -0,0 +1,58 @@ +[remap] + +importer="scene" +importer_version=1 +type="PackedScene" +uid="uid://k8b0a35qcriu" +valid=false + +[deps] + +source_file="res://Resources/Terrains/textures/Metal049A_1K-PNG/Metal049A_1K-PNG.blend" + +[params] + +nodes/root_type="" +nodes/root_name="" +nodes/root_script=null +nodes/apply_root_scale=true +nodes/root_scale=1.0 +nodes/import_as_skeleton_bones=false +nodes/use_name_suffixes=true +nodes/use_node_type_suffixes=true +meshes/ensure_tangents=true +meshes/generate_lods=true +meshes/create_shadow_meshes=true +meshes/light_baking=1 +meshes/lightmap_texel_size=0.2 +meshes/force_disable_compression=false +skins/use_named_skins=true +animation/import=true +animation/fps=30 +animation/trimming=false +animation/remove_immutable_tracks=true +animation/import_rest_as_RESET=false +import_script/path="" +materials/extract=0 +materials/extract_format=0 +materials/extract_path="" +_subresources={} +blender/nodes/visible=0 +blender/nodes/active_collection_only=false +blender/nodes/punctual_lights=true +blender/nodes/cameras=true +blender/nodes/custom_properties=true +blender/nodes/modifiers=1 +blender/meshes/colors=false +blender/meshes/uvs=true +blender/meshes/normals=true +blender/meshes/export_geometry_nodes_instances=false +blender/meshes/tangents=true +blender/meshes/skins=2 +blender/meshes/export_bones_deforming_mesh_only=false +blender/materials/unpack_enabled=true +blender/materials/export_materials=1 +blender/animation/limit_playback=true +blender/animation/always_sample=true +blender/animation/group_tracks=true 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"), 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"), 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"), 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35RxvwAAA0HzlHKmtAABIbQMSjMgAACRocgJRrQAABHqRDG6MAABIbc0Dj4EAAL1i/AFogAAA7FLeBG6MAAC9Yl0o7mEAACRomhHXYgAAzVd4ItdiAAARS+UcTHYAAKtIbhEJlwAAgJFZNwiiAADmkf01j4EAAMWLGy4TdQAAxLDhMQmXAADXoTAoOssAANqWqiIczgAA/KYDEozIAACDtm4RCZcAAICRUhc6ywAAIoTHJ4KsAADXoXICUa0AAPymzQOPgQAAcZz8AWiAAACfjN4EbowAAF+CbhEJlwAA16GaEddiAAAdtOUcTHYAAPymxyeFZQAAgJF4ItdiAADEhOUcTHYAAM5knrQ4ggAArWMguddwAADfcvi9enEAAKJyl7+YXgAA2ZKXv5heAACbkvi9tksAAL2Cp7oOOQAAraCetPg6AACFkRWxIykAAM2hILlZTAAA2a02rXQ8AAC9gnKySSgAAL2Cp7oihAAAvYJysuiUAADNoSC513AAAKivFbEBTQAAYLByspheAACEu9ilT00AAK2gnrQ4ggAAqK8VsS9wAACFkRWxDZQAAPbFaZiYXgAA9nOLlz+tAACFkYuXP60AANxZrJJhowAAfkzMogWAAADwSKySP48AABpVXGGXrgAAaXPUhi+1AAC9gmmHsbYAAJ+rrJJhowAASKJcYbG2AAC9glA7sbYAAK2gQD29sAAA/bg+gyefAADcWQ0wYaMAAH5Mez8nnwAAhZEuKz+tAACfqw0wYaMAAKZAiE8NlAAAtzhcYSKEAACmQIuXL3AAAPs55DvXcAAAtzhph5heAACfNMp0mF4AAPc1gHS2SwAApkAuKy9wAAD3SeAc4W8AAIU/UCqYXgAA+znkO1lMAADwSA0w8S0AAIU/XGFJKAAAfkw+gwkeAAAaVVxhmQ4AANxZrJLPGQAA3FkVp/EtAAAaVXKymF4AAK1jILlZTAAAzmSetPg6AAC9gvum6BkAANSezKIJHgAAhZGLl/EPAACfq6ySzxkAAK2geIVzDAAAvYJph38GAABIolxhfwYAAL2CUDt/BgAAn6sNMM8ZAACFkS4r8Q8AAGlz5DsBCAAA9nMuK/EPAADcWQ0wzxkAAL2CRxBJKAAAzmQaDvg6AAC9ghEIDjkAAK2gGg74OgAAhLvgHE9NAACor6MRAU0AAM2hmQlZTAAA33LABLZLAADZkiEDmF4AAK1jmQlZTAAAonIhA5heAAAaVUcQmF4AAK1jmQnXcAAA3FmkGz+PAADOZBoOOIIAAL2CRxDolAAAvYIRCCKEAACFkaMRDZQAAJuSwAR6cQAAraAaDjiCAADNoZkJ13AAAKivoxEvcAAA/bjtHwWAAACKvA0wP48AANXELisvcAAAxMxQO5heAADEzFxhIoQAANXEMHMNlAAAgMvUhtdwAADc0O5NmF4AANXEi5cvcAAAhM84TrZLAACAy9SGWUwAAPbFXGFJKAAAiryskvEtAAD9uHs/CR4AABdsxfAnnwAAvYKz/CKEAAC9gpj46JQAAHSOTPIpogAAqY7q9w2UAAAaj/D7kIMAAPJ1XP62SwAAhF7q9wFNAAD+VsXwBYAAAIunmPiYXgAAqY7q9yMpAAB9rsXwKz0AAIewTPLhbwAA87iU65heAAB9rv/gCR4AABqPyuIBCAAAar1N2aA5AACLpw7QmQ4AAL2CFON/BgAATWkO0H8GAACEXiTH8Q8AAL2CCL1/BgAA/lYdvwkeAAD+Vv/gCR4AAIhMDtBJKAAAC0cO0A45AAD0VEzyT00AAHFNJesvcAAAC0cU45heAAAQSM/GoDkAAAtHDtAihAAAcU0kxw2UAADwXQ7Ql64AAJlqHOK9sAAAvYIU47G2AAC9ggi9sbYAABqPUr0vtQAAi6cO0JeuAAB9rh2/J58AAH2u/+AnnwAACrj42A2UAABwvg7QIoQAAHC+CL2YXgAAcL4O0A45AADzuA7QSSgAAH2uHb8JHgAAfa5Wrys9AABJsT+tmF4AAKmO97TxDwAAfa5WrwWAAACpjjGoDZQAAL2CP63oGQAAiEyItJheAAD+VlavKz0AAIReMagvcAAA8nXAoXpxAAC9gmijDjkAABqPLKSgOQAAvYKDp0koAACpjjGoIykAAOxyQNyT0QAAJ30j4FvSAAAyeFHdgLEAAKN45tPemQAAvYIVyvCOAADQkqnc+sYAAEiNUd1z3AAA2JVwzhCgAADjmObTZbIAAFSIdb7njwAAx53+yVvSAAAMm1i5gLEAANiVA7oQoAAAj5IzrJPRAABUiFCoW9IAACSIxqmxsAAAV33GqbGwAADZeIGwEKAAAIl95bOQlwAAom8DuhCgAABqbjrEkp0AABFrOsQ9pgAAq2g6xJrdAAC/bpavZdEAAKJvA7rj7QAAom9wzuPtAAAyeBvPffgAAFSIdb4M/gAA2XiBsOPtAABIjVi5ffgAANCSOsQy9wAA2JVwzuPtAAASk0ahKIwAAKGGLaI3bgAAs4xTrJheAABolnmx000AAKGGLaL5TgAAzKA0tZJNAABolnmxXW8AAEGgnLaYXgAAXZhrrW1/AADMoDS1nm8AAECsKrbTTQAA4quVt5heAAB4rfOxxD0AAEy4RrRkTgAAXZhrrcQ9AAASk0ahCDEAAG2AP4n5TgAAkr3GoEMlAAAZuDSVvhgAAD2fKn+lFQAAqcvnlIEhAAAY34RrjBcAAOvZtYlDJQAAZdVuaVsQAABx5DFcvhgAAPTttG5dLgAAT9dnl2MzAACUz6Sk6EAAAGvbyZz5TgAAIbintZheAABArCq2XW8AAHit87FtfwAAUdCep/JtAADmlniY7ZcAABm4NJVypAAAwKPVkHKkAABgk9GIr5sAAOSEmpRIfAAAbYA/iTduAAC7h1GGzYkAADyPq3ntlwAAaJHVWtSOAAANqCIyzYkAAOCZBzrMbgAAQIBNepheAABokdVaXS4AAHGl1D9DJQAADagiMmMzAADxo8As+U4AALOzojSBIQAAyK/lJOhAAABDx1U0vhgAALnRxzWMFwAAC6/rIfJtAAA7x+ITmF4AABzTXxNdbwAA5NGWF21/AACQ3lUUnm8AAP/mHhxtfwAAGt/tEpheAAD06BAYXW8AABzTXxPTTQAAkN5VFJJNAADk0ZYXxD0AAPToEBjTTQAA/+YeHMQ9AACo8jYdmF4AADr+3zGYXgAA7/5KQDduAAAc/zxPmF4AAKH3OEPNiQAAfOWCj8xuAAD07bRu1I4AAE/XZ5fNiQAAIPDeT+2XAAAY34RrpKUAAPvruECvmwAAdugRMe2XAACpy+eUr5sAAJzbtDhypAAA9TcSIguMAABIQeIbLW4AAG00XBaYXgAAjyh3Ft5NAABIQeIbA08AAEAdAxidTQAAjyh3FlJvAACVHKQWmF4AACoqmBpXfwAAQB0DGJNvAABBE0Mc3k0AAHAS9RqYXgAAlBUzINk9AAAqKpga2T0AANhZRi0DTwAAEBYeNWclAACOIw086xgAAAEU4ESoIQAAyiTLbroXAABIESpUZyUAAEAuOGyNEAAAfyyBfesYAAC6WUeUuhcAAGxVHqK9IgAATGPbkOsYAADZcgiIqCEAAJJ1v3hnJQAANX7xhH8zAABaggOT+0AAAL+Fe4cDTwAAH3XtWFc9AAC1ZUE5mF4AAHODWnjCbgAANX7xhLGJAACNcCxatY4AANhZRi0tbgAAQFbYMrGJAABVTRImNXwAAB5aV0DJlwAA5ErvNYibAADGO9oqyZcAAJQi9SK1jgAAZjenNkWkAAAgLaE4dqUAAEAuOGyjrAAADR7TX0WkAADKJMtudqUAAPY7+ZaImwAAdE9ClkWkAAAUSw+iyZcAALwskozJlwAATRa9crWOAACaMBGasYkAADdFea3WfAAApQj4R7GJAABnA49Uwm4AAJEB0jfobQAAuxH7c1c9AAAlIaiTmF4AABsBbkUDTwAApQj4R38zAACABOY5+0AAAAItop8DTwAAAi2iny1uAABtUo22mF4AALFcULLZPQAAS15ytt5NAABGcbas2T0AAMpe17eYXgAAmmnltJ1NAABLXnK2Um8AAJlzpbDeTQAAmmnltJNvAADhgZygA08AAMd8BquYXgAASYUXlehtAABGcbasV38AALFcULJXfwAAlBUzIFd/AABBE0McUm8AABMK4yGYXgAA2VieMPO9AAC9Yks5l6IAANtniTHDvwAAVGjOOKeLAADsccEznasAACddzjiniwAABHo5LaOhAACJXew00HYAAL1i4TGibQAA2VieMB9wAADjeJEsdIIAANh1GycfcAAA0HLlHNBmAABUaKoi9l8AAGpO5RyibQAAEXflHKJtAABqeuUcTHYAANh1rxIfcAAA0HxuEQmXAAAZdwkOXLQAANh1GyfzvQAA0HLlHEHHAABUaCAXHM4AADNYxyeMyAAA2VgtCfO9AACJXd4EQbcAADNYzQOCrAAAbkoDEoKsAACjTxsn870AAKtI5RyprQAAd0s5LW6MAACzRyAXp4sAAKNPrxIfcAAA2VgtCR9wAACJXZEMn2cAAL1i6geibQAAVGj8AKeLAAC8dkEInYwAAIySnjDzvQAAcZxLOZeiAACOoYkxw78AAAeizjiniwAA2pbOOKeLAACgq8EznasAAEOs7DRujAAA5pHHJ4zIAADMsMIrXLQAAIyvGyfzvQAAg6zlHEHHAABWiRsn870AAAeiIBcczgAAHbTlHMW3AADAtAMSgqwAAIumCQb1tQAAjJItCfO9AAA8l94EQbcAAOaRzQOCrAAAIoQDEoKsAABfguUcqa0AAGeBIBeniwAAKoU5LW6MAAAdiOUcom0AAFaJrxIfcAAAjJItCR9wAAA8l5EMn2cAAIySnjAfcAAAPJfsNNB2AABxnOExom0AAAeiqiL2XwAAg6zlHNBmAACMr68SH3AAAHGc6geibQAAzLDCK7V5AAB7t6oip4sAAMC0AxKPgQAAuLORDG6MAAAHovwAp4sAANxZFac/jwAAoVc2rbyAAACnZsyiJ58AAPZzFbENlAAAn6sVp/EtAABtnzatSisAAG2fNq3mkQAADWZclW6pAAC9gmmYl64AAKFX94NuqQAA0lUwcz+tAACtY9pzL7UAAN9ygHT2uQAAonJcYZC7AADSVYhPP60AAK1j3k4vtQAAvYLKdJC7AADUnsyiJ58AAG2fXJVuqQAAm5KAdPa5AAC9glxhMb0AAK2geIW9sAAA2ZJcYZC7AADfcjhO9rkAAL2C7k2QuwAAaXPkOy+1AADNodpzL7UAAKFXwj5uqQAADWZcLW6pAACnZu0fJ58AAL2CUCqXrgAAEpLkOy+1AADNod5OL7UAAL2CvhtIowAAbZ9cLW6pAACor4hPP60AANmtwj5uqQAAqK8wcz+tAADUnu0fJ58AANmt94NuqQAAn6sVpz+PAAD9uMyiBYAAANXEi5cBTQAAn8FclXQ8AACKvKySP48AAJ/B94PmkQAAw8d4hTiCAACAy9pzkIMAAITPgHR6cQAA3NBcYcNxAADc0Mp0mF4AADrSXGGYXgAAhM+AdLZLAADc0FxhbUsAAIDL2nOgOQAAn8H3g0orAADVxDBzIykAAIDL3k6gOQAAn8HCPkorAADDx0A9+DoAAIDL5DtZTAAA1cQuKwFNAACKvA0w8S0AAP247R8rPQAAqK+IT/EPAACAy+Q713AAAIDL3k6QgwAA1cSITw2UAACfwcI+5pEAAJ/BXC28gAAAhLvgHOFvAACfq6QbP48AAG2fghXmkQAA9nOjEQ2UAAANZoIV5pEAAKFXghW8gAAAfkztHwWAAAD3SeAcT00AAKFXghV0PAAA3FmkG/EtAAD2c6MRIykAAKdm7R8JHgAAbZ+CFUorAACfq6Qb8S0AANSe7R8JHgAAvYK+G+gZAAC9glAqmQ4AAA1mXC3CEwAAbZ9cLcITAADZrcI+whMAAK2gQD1zDAAAzaHeTgEIAACbkjhOOgMAAL2C7k2gAQAA33I4TjoDAACtY95OAQgAAKFXwj7CEwAA0lWIT/EPAACiclxhoAEAANJVMHPxDwAAvYJcYQAAAACtY9pzAQgAAN9ygHQ6AwAA2ZJcYaABAAC9gsp0oAEAAGlz1IYBCAAAzaHacwEIAAASktSGAQgAAKivMHPxDwAAvYJpmJkOAADZrfeDwhMAAG2fXJXCEwAA9nMVsSMpAAANZjatSisAAKFXNq10PAAA90nYpeFvAADbQ1yVvIAAANtD94PmkQAApkAwcw2UAAD7OdSG13AAAPs52nOQgwAApkCLlwFNAAB+TMyiKz0AAPs51IZZTAAAp2bMogkeAAANZlyVwhMAAKFX94PCEwAA8EiskvEtAAC3PXiF+DoAANtD94NKKwAA+znac6A5AACfNFxhbUsAAEAzXGGYXgAApkCITyMpAAD7Od5OoDkAAPc1OE62SwAAnzTuTZheAACfNFxhw3EAAPc1OE56cQAA+zneTpCDAADbQ8I+5pEAALc9QD04ggAA8EgNMD+PAACmQC4rAU0AANtDXC10PAAA20PCPkorAADGYeryP48AAJlqr/k4ggAA+V/79byAAACwafD713AAAGB28PuQgwAA8nVc/npxAADAdSv/mF4AAPBdmfiYXgAAsGnw+1lMAAC9giv/bUsAAL2C//+YXgAAiY9c/rZLAAC7jyv/mF4AABqP8PugOQAAYHbw+6A5AADSdur3IykAAHSOTPIHGwAA+V/79XQ8AAC9gt3y6BkAAJtr+/VKKwAAB3dM8gcbAACpjiXr8Q8AAMZh6vLxLQAA0nYl6/EPAACbaw7qwhMAAGB2yuIBCAAAiY+g2ToDAADKm03ZAQgAAOCZDurCEwAAgaVb4cITAAD3pvjY8Q8AALWjtujPGQAA4Jn79UorAAC1o+ry8S0AAOGar/n4OgAAypvw+1lMAACHsEzyT00AAPem6vcBTQAAiY9c/npxAADKm/D713AAANJ26vcNlAAAB3dM8imiAAD3pur3L3AAAOCZ+/XmkQAAgaX79byAAAC1o+ryP48AAAq4JesBTQAAc7UO6nQ8AABasbbo8S0AAHO1W+FKKwAAar3K4llMAAAKuPjYIykAAKjAoNm2SwAACrgkxyMpAAD3piTH8Q8AALuPDtCgAQAAypvPxgEIAACJj3zGOgMAAL2CDtAAAAAA8nWg2ToDAADhmgC+cwwAALWjZrfPGQAAGo9SvQEIAACZahzicwwAAOCZDrbCEwAAxmG26M8ZAAD5X1vhwhMAALBpTdkBCAAAwHUO0KABAADwXQ7QmQ4AAL2CV8agAQAAsGnPxgEIAABgdlK9AQgAAPlfwb7CEwAA0nb3tPEPAACbaw62whMAAMZhZrfPGQAAB3fQrQcbAAAXbFavCR4AANJ2MagjKQAAZJlWrwkeAADgmSGqSisAALWjMq3xLQAAgaUhqnQ8AAD3pjGoAU0AAMqbLKRZTAAAiY/AobZLAABgdiykoDkAALuP8KCYXgAAypsspNdwAAD3pjGoL3AAAIew0K3hbwAAh7DQrU9NAADhmm2mOIIAAImPwKF6cQAAvYIdoJheAAC1ozKtP48AAPJ1wKG2SwAAvYLwoMNxAACZam2m+DoAAMB18KCYXgAAsGkspFlMAADGYTKt8S0AAPlfIap0PAAAIFRmt/EtAAD0VNCtT00AAPBdg6eYXgAAsGkspNdwAAAHUA62dDwAADJUP62YXgAAB1DBvkorAABxTfe0AU0AABBIUr1ZTAAA00R8xrZLAABxTfe0L3AAAL1DV8aYXgAAcU342CMpAAAQSE3ZoDkAACBUtujxLQAAE0sc4vg6AAAHUA7qdDwAANNEoNm2SwAAEEjK4llMAACjQg7QmF4AAL1DxdmYXgAAiEyU65heAAAQSMri13AAAAdQDuq8gAAAIFS26D+PAAAHUFvh5pEAABBITdmQgwAAcU342A2UAAC9Qw7Qw3EAABBIz8aQgwAA00R8xnpxAAAQSFK913AAABNLAL44ggAA/lZWrwWAAAAHUMG+5pEAACBUZrc/jwAA+V8hqryAAADGYTKtP48AAJtrIarmkQAAYHYspJCDAADSdjGoDZQAAAd30K0pogAAvYI/rUijAAAajyykkIMAAOCZIarmkQAAdI7QrSmiAABasWa3P48AAHO1Dra8gAAAc7XBvuaRAADzuIi0mF4AAGq9Ur3XcAAACrgkxw2UAABqvc/GkIMAAGq9Ur1ZTAAAvcFXxpheAABztQ62dDwAAFqxZrfxLQAAZ7oAvvg6AABqvc/GoDkAAKjAfMa2SwAA2MIO0JheAAC9wcXZmF4AAL3BDtDDcQAAqMCg2XpxAABqvcri13AAAAq4JesvcAAAar1N2ZCDAABasbboP48AAHO1W+HmkQAAtaO26GGjAACBpVvhbqkAAOGaHOK9sAAAyptN2S+1AAAaj8riL7UAAImPoNn2uQAAqY4l6z+tAAC9gsXZkLsAANJ2Jes/rQAAYHbK4i+1AACbaw7qbqkAAMB1DtCQuwAAxmG26GGjAAD5X1vhbqkAAIRe+Ng/rQAAsGlN2S+1AACEXiTHP60AAPlfwb5uqQAAxmFmt2GjAACZagC+vbAAAJtrDrZuqQAA8nV8xva5AABgdlK9L7UAAL2CDtAxvQAAu48O0JC7AACJj3zG9rkAAMqbz8YvtQAA96Ykxz+tAAC9goi0l64AAKmO97Q/rQAA4JkOtm6pAACBpcG+bqkAALWjZrdhowAAo3gW2+blAADyh0DcMucAANl48tfj7QAAvYI12WDwAACJfY7UY/YAAPKHjtRj9gAAoXc6xBT8AACrcjrEMvcAAGJuFtNN5AAA7HLavmP2AAARazrEtucAABFr0dT6xgAAv27d2I68AAB3a47UX7wAAKtyqdz6xgAAoXcj3/rGAACib3DOEKAAAIl9QNzBpgAAvYIj31mwAAC9gqDgh9IAACSIrd5C3QAAJIit3rGwAADZjSPf+sYAAI+SQNxfvAAAlZSl1mzjAACijPLXEKAAAPKHjtSQlwAAV32Ez8iSAAAEmo7Uk9EAACSIhM/IkgAAapo6xD2mAADPnDrEmt0AAGqaOsS25wAADJtYuXPcAADjmI20jtsAAASa5bNfvAAAEZc+r/rGAADQksqr+sYAANiMjbTemQAA0JI6xMGWAACPktq+kJcAANmNOsTfkQAAvYLCuN+RAAAyeFi5dpUAAOxymcmQlwAAq3I6xMGWAABibl21pqkAAKN4Xa0NqAAA8oczrMGmAACijIGwEKAAAOxyM6xfvAAA2Y1QqfrGAAC9glCpmt0AANiMXa3m5QAAiX0zrDLnAAChd1Cp+sYAADJ4Iqtz3AAAam4+r/rGAAC9gj6vYPAAAPKH5bNj9gAAV33vuCv7AACijIGw4+0AANiVA7rj7QAA2Y06xBT8AAC9gl6+A/8AAL2Csc8U/AAAsIw9ms2JAADJj2mnO34AACWJJJ/qfAAAALlDsPU+AACRusGpCDEAAPjEU6ZjMwAAecR1r/lOAAA8s1+hliIAAGGboqYRjgAAPJ8UnZqaAAAAuUOwO34AAJG6wakojAAAecR1rzduAABR0J6nPk8AAJTPpKRIfAAA7dlzmkZAAADp27KdmF4AAHzlgo9kTgAAtOtPf8Q9AABC7nSA000AAFXnwX0fLwAAwtiger4YAABiwmWVIhwAAADPJXmyEQAAG6X7qV0uAABhm6KmHy8AADyfFJ2WIgAAyY9pp/U+AACxhTyjmF4AACWJJJ9GQAAAJ4LVlvJtAACwjD2aYzMAAOSEmpToQAAAWoPch+p8AABag9yHRkAAAFCB/3nMbgAAUIH/eWROAACOhMFpXW8AAIiHzGltfwAAV4w3ahGOAAC7h1GGYzMAAI6EwWnTTQAAiIfMacQ9AADkmuqMDqEAAOqaWG1ypAAAo63Ck6SlAADZqHyCfqsAADyk9m9+qwAAfK7Ccr2vAAA2sz+F1awAAPepG2DVrAAAmqbpTnKkAABQuVp1KLEAAJe0Y2IosQAAW7BkUH6rAACSvcag7ZcAAGLCZZUOoQAA+MRTps2JAAB0yASIi6cAAFTEc3e9rwAAAM8leX6rAACuv8Rkm7IAAMTKJmcosQAACLsWUr2vAABowYVCfqsAAODQx1a9rwAAs7OiNK+bAAAmzEpE1awAAPm8JDQOoQAAQ8dVNHKkAABxpdQ/7ZcAAAeYyEsRjgAAIMwqKJqaAAAg25NZfqsAAMLYoHpypAAAceQxXHKkAADr2bWJ7ZcAAHjknzwOoQAAH+B1LJqaAABB2o4f1I4AAKLPiB4RjgAASexDKCiMAABjujYjzYkAAFzGRhk7fgAA3bqmHep8AADIr+UkSHwAANe6zxiYXgAAc6PXK5heAABvpRYv6nwAAACcvjs7fgAAp5M6Sm1/AAAakRVJXW8AAEWQo0iYXgAAGpEVSdNNAADniThZnm8AAPaIBFmYXgAA54k4WZJNAABXjDdqHy8AAKeTOkrEPQAAPI+reUMlAABgk9GIgSEAAOCZBzpkTgAA6ppYbb4YAADkmuqMIhwAAAuv6yE+TwAAb6UWL0ZAAAAHmMhLHy8AAN26ph1GQAAAXMZGGfU+AABjujYjYzMAAMrBwyhDJQAAos+IHh8vAAAgzCooliIAAJPvICL1PgAASexDKAgxAAD5vCQ0IhwAAB/gdSyWIgAAmqbpTr4YAABowYVCshEAAFuwZFCyEQAA96kbYFsQAAAIuxZScw0AAJe0Y2IIDAAAPKT2b7IRAAB8rsJycw0AANmofIKyEQAAwKPVkL4YAAA2sz+FWxAAAFTEc3dzDQAArr/EZJUKAADEyiZnCAwAAAzGL1QIDAAA4NDHVnMNAAAg25NZshEAAB/gX0qlFQAAnNu0OL4YAAB45J88IhwAAPvruECBIQAAIPDeT0MlAACs8kwvYzMAAHj67zToQAAAuvhbJ/lOAAC6+FsnN24AADX9tDLybQAAePrvNEh8AAAC/K1BRkAAAAL8rUHqfAAAofc4Q2MzAAAM/opPZE4AAAXzUl8fLwAA0/e9X8Q9AAB19VFwkk0AAM76yF/TTQAAFu/mgJheAABm9oVwmF4AAELudIBdbwAADP6KT8xuAADO+shfXW8AAHX1UXCebwAA0/e9X21/AAC0609/bX8AAAXzUl8RjgAAVefBfRGOAACs8kwvzYkAAJPvICI7fgAAXOPLjTt+AADt2XOa6nwAAKBC8iSxiQAAyzWtGyd+AACjQW8f1nwAAJoNniYJPwAAcBGOLCUxAAC8C+MzfzMAAPkETCwDTwAA7h0ZML0iAAANLWQh840AAG4xyipzmgAAmg2eJid+AABwEY4sC4wAAPkETCwtbgAAkQHSN0hPAACABOY5NXwAACUEqEZaQAAAAADqRJheAABnA49Ub04AABcLW2TZPQAAIgiNZN5NAADWD7FjPS8AAA0e01/rGAAAGhtpQE0cAAAVJ71c4xEAAJQi9SJ7LgAADS1kIT0vAABuMcoqvSIAAMs1rRsJPwAAN0GeGpheAACjQW8fWkAAAMxNEiPobQAAoELyJH8zAABVTRIm+0AAAJNYrS/WfAAAk1itL1pAAAAXZfg5wm4AABdl+DlvTgAANm9+SFJvAADHbMRJV38AAJNoiUvzjQAABHc4afONAADfdy5Yk28AAMN7jmhXfwAAqXvFdwuMAADKeO5XmF4AALl+XGhSbwAAZIDmdyd+AACSdb94yZcAAL5/WmiYXgAAtYJAhtZ8AABaggOTNXwAANuG/4eYXgAAHnsGmbGJAAAZf7id1nwAAEF5S6YnfgAA6YKdoZheAAClbR6m840AAOxoz5xzmgAAR2T0qbWOAABMY9uQRaQAAGxVHqJzmgAA11IhhqOsAAA8RfyW46AAAOZO16oLjAAASYUXlUhPAAAZf7idWkAAALWCQIZaQAAAc4NaeG9OAAC5flxo3k0AAMN7jmjZPQAABHc4aT0vAADfdy5YnU0AADZvfkjeTQAAx2zESdk9AACTaIlLPS8AAEBW2DJ/MwAAn18oPiUxAAAeWldAZyUAAORK7zWoIQAAnkHtNU0cAABZUsVBTRwAAGY3pzbrGAAAij52ROMRAAADNMhGjRAAAAUxbFmnDQAAU0afU6cNAADKUGJR4xEAAJ04Zmk9DAAAbUN0ZssKAAARNoZ74xEAAIdASXmnDQAAPU6DYz0MAABMS6F2PQwAAPU9/InUFQAA1VV9c6cNAACaWLFgjRAAAFxaaE/rGAAAxV8scOMRAADNaBZt6xgAAOZc2ILjEQAAHnsGmX8zAADLcMuXZyUAAMBrgIxNHAAA7GjPnL0iAAClbR6mPS8AAEF5S6YJPwAAdE9ClusYAAAUSw+iZyUAAOZO16olMQAA9jv5lqghAAC8LJKMZyUAADpE96d/MwAASB5fgT0vAACaMBGafzMAADsnwI4lMQAAExolg9k9AAD8Drt0nU0AAKQXa4TeTQAAHQeOZJheAABHLjydWkAAAMMh8ZJvTgAAEQ77dJheAAD8Drt0k28AACIIjWRSbwAApBdrhFJvAAAlBKhG1nwAAHYGAlUnfgAAFwtbZFd/AAAxCyRVC4wAANYPsWPzjQAASBEqVMmXAAATGiWDV38AAEgeX4HzjQAADznXqUhPAACSRQexA08AABBRO7EJPwAADznXqehtAACSRQexLW4AAEcuPJ3WfAAAhTnXpjV8AAAQUTuxJ34AADpE96exiQAAfyyBfUWkAAARNoZ7TasAAIdASXmJrwAAFSe9XE2rAAB4GIdR46AAAAEU4ESImwAAtCDeTV2nAACdOGZp9LAAAAUxbFmJrwAAbUN0ZmWyAACOO0hW9LAAAOZc2IJNqwAA1VV9c4mvAADAa4CM46AAANlyCIiImwAAY25ie+OgAADFXyxwTasAAM1oFm1FpAAAPU6DY/SwAACaWLFgo6wAAFNGn1OJrwAAylBiUU2rAABcWmhPRaQAAIo+dkRNqwAAnkHtNeOgAACOIw08RaQAABAWHjXJlwAAvAvjM7GJAACjWMEz9bUAAOxS7DSjoQAAq1JVNQmXAABqTuExCZcAAJhMkSydqwAAq0jlHGiAAAARS+UcxbcAABFLTgwJlwAAYk4JDrV5AADsUkUin2cAAKtS5RzQZgAAo1iRLO1pAAAzWAMShWUAAFddMCjXYgAA8mc5LZ9nAACibJ4wH3AAANhswTMceAAAvWLON2iAAAC9YsAi/14AAL1ibhHuYQAA2W3lHO5hAACPcoYXn2cAANhsOQ3taQAA0HzlHGiAAACibC0JH3AAAPJn3gTQdgAAo1gJBhx4AABXXXICwIAAAGpO6gcJlwAAzVdyAgmMAACrUnUECZcAAKNPrxLzvQAAvWJ/AHuLAAC9YvwBqa0AANhsCQb1tQAA2W38AQmXAACjWDkNJMQAAKJsLQnzvQAA8meRDHLGAABXXZoROssAAOxShhdyxgAAq1LlHEHHAAB3S4YXQbcAAL1iXSgjzAAAvWIKFxPPAACJXTktcsYAANhskSwkxAAA2W3lHCPMAACPckUicsYAANh1rxLzvQAAanrlHMW3AAAMewMSgqwAAON4OQ2dqwAAEXfqBwmXAACPct4Eo6EAAI9y7DRujAAAvHaJMXShAABIbf01gqwAAPJn7DRBtwAA2W3ONwmXAABXXVk3Ua0AAFaSwTP1tQAAn4zsNKOhAABejFU1CZcAAB2I4TEJlwAAS4aRLJ2rAABfguUcaIAAAMSE5RzFtwAAxIRODAmXAAAWiAkOtXkAAJ+MRSKfZwAAXozlHNBmAABWkpEs7WkAAOaRAxKFZQAAC5cwKNdiAACloTktn2cAAFWmnjAfcAAAi6bBMxx4AABxnM43aIAAAHGcwCL/XgAAcZxuEe5hAACNp+Uc7mEAAEOshhefZwAAi6Y5De1pAACMrxsnH3AAAFWmLQkfcAAApaHeBNB2AABWkgkGHHgAAAuXcgLAgAAAHYjqBwmXAACAkXICCYwAAF6MdQQJlwAAVomvEvO9AABxnH8Ae4sAAHGc/AGprQAAjaf8AQmXAABWkjkNJMQAAFWmLQnzvQAApaGRDHLGAAALl5oROssAAMywCQ5ctAAAn4yGF3LGAABejOUcQccAACqFhhdBtwAAcZxdKCPMAABxnAoXE88AADyXOS1yxgAAi6aRLCTEAACNp+UcI8wAAEOsRSJyxgAAjK+vEvO9AAC4s0UiQbcAABG2MCgIogAAHbR8LQmXAACWsjkNnasAAHCwiTF0oQAAxLDqBwmXAABwsEEInYwAAEOs3gSjoQAAC5dZN1GtAACloew0QbcAAI2nzjcJlwAA/Kb9NYKsAAAVW3qe5JoAABNQep7KjQAAE1AzkeSaAABotXqeZi8AAGi1M5FMIgAAZqp6nkwiAAD3SeFyKaIAAPdJ108pogAAE1B6nmYvAACEu+FyBxsAAIS7108HGwAAaLV6nsqNAABmqnqe5JoAABNQhjHkmgAAE1AzkUwiAAAVW3qeTCIAAGi1hjFMIgAAZqo/JEwiAABotT8kZi8AAGi1MpHkmgAAhLvhcimiAACEu9dPKaIAAGi1PyTKjQAAaLWGMeSaAABmqj8k5JoAAPdJ4XIHGwAA90nXTwcbAAATUIYxTCIAABNQPyRmLwAAFVs/JEwiAAATUD8kyo0AABVbPyTkmgAAwmKd7uSaAADhWZ3uyo0AAOFZ+efkmgAAmqud7mYvAACaq/nnTCIAALmine5MIgAA9FRM8uFvAAD0VNDYKaIAAPRUS8cpogAA/lbF8Cs9AADhWZ3uZi8AAIew0NgHGwAAh7BLxwcbAAB9rsXwBYAAAJqrne7KjQAAZJnF8CefAAC5op3u5JoAAOFZI7jkmgAA4Vn550wiAADCYp3uTCIAAJqrI7hMIgAAuaJ/sUwiAACaq3+xZi8AAJqr+efkmgAAh7DQ2CmiAACHsEvHKaIAAJqrf7HKjQAAmqsjuOSaAAC5on+x5JoAAPRU0NgHGwAA9FRLxwcbAADhWSO4TCIAAOFZf7FmLwAAwmJ/sUwiAADhWX+xyo0AAMJif7HkmgAAWHQ92U3kAAAyeFHdc9wAAI9zFtuO2wAAxnSl1lLrAADlcKXWbOMAAOVwpNJS6wAAWHQW03DwAACJfUDcMucAAKN45tMV9AAAoH3d2LTvAAC9giPfmt0AAL2Cqdy25wAAVIgj4FvSAACuja3e+dEAAI+SQNyT0QAAro2t3vq7AAC8lt3YjrwAAOyRFttlsgAA2JXy19OyAAAEmo7UX7wAAJWUpdaHqgAAGZcW06apAAAjkT3ZpqkAAOOYp84NqAAADJsbz4CxAACVlKTSoaIAALWQpdahogAASI1R3YCxAABUiCPgmLsAAL2CH+H6xgAAvYKg4Gy7AAARfaDg+sYAAM13rd750QAAJ30j4Ji7AADNd63e+rsAAKJv8tcg2wAAv27d2GXRAACYbObTjtsAAJhsp87m5QAAd2uO1JPRAACPc6fOFfQAAL9ugcm07wAA7HKZyWP2AAB3a5nJMucAAM13zMkr+wAAHWnMyULdAAC/bvK+tO8AAB1phM/50QAAd2vavjLnAACzZ/7JW9IAAB1pp75C3QAAOmc6xIfSAAA6ZxXK+sYAAOxyQNxfvAAAHWmEz/q7AACib/LX07IAAJhs5tNlsgAAj3MW22WyAABYdD3ZpqkAAOVwpdaHqgAAo3gW2w2oAAC9gqncPaYAAPKHQNzBpgAA24fd2D+eAACgfd3YP54AACORFtODnQAA2Izm096ZAAC9gtHUwZYAAOyRp87emQAAvJaByT+eAACPkpnJkJcAAASamcnBpgAAro3MyciSAAC8lvK+P54AAF2czMmxsAAABJravsGmAADPnDrEWbAAAF2chM/6uwAAXZynvrGwAABqmtHU+sYAAM+csc/6xgAAQZ46xGy7AABBnhXK+sYAALyW3dhl0QAAXZyEz/nRAAC8njrE+sYAAOyRFtuO2wAA2JXy1yDbAADYjBbb5uUAACORPdlN5AAA45jm047bAACijPLX4+0AALWQpdZS6wAAvYLR1DL3AADYjObTFfQAACd9/skM/gAAvYIVygP/AAARfTrEA/8AAM13p74r+wAAj3PMuRX0AACYbMy55uUAAOVwz7VS6wAAMnhYuX34AABuali5c9wAAFh0XbVw8AAAYm5dtU3kAACzZ3W+W9IAAJhsjbSO2wAAv2Y6xPrGAAAdae+4+dEAADpnXr76xgAAs2f+yZi7AAA6ZzrEbLsAAG5qG8+AsQAAHWnMybGwAABibhbTpqkAAJhsp84NqAAAq2g6xFmwAAB3a5nJwaYAAOVwpNKhogAAxnSl1qGiAABYdBbTg50AAI9zp87emQAA2Xjy1xCgAACJfY7UkJcAADJ4G892lQAAvYKxz9+RAABUiP7J548AACd9/snnjwAAaog6xPCOAAC9gjrE9I0AABF9OsTwjgAAro2nvsiSAAC9gl6+8I4AAOyRzLnemQAASI1YuXaVAADjmMy5DagAAJWUz7WhogAAI5FdtYOdAADyh+WzkJcAABmXXbWmqQAAtZDOsaGiAACVlM6xh6oAACORNq+mqQAA24eWrz+eAADjmI20ZbIAANiVgbDTsgAA2IxdrQ2oAADskV2tZbIAAF2c77j6uwAAx511vpi7AABBnl6++sYAAEGeOsSH0gAAapqis/rGAADHnXW+W9IAAF2c77j50QAABJrls5PRAACPkjOsX7wAAF2czMlC3QAAGZcW003kAADjmKfO5uUAAJWUpNJS6wAAI5EW03DwAABdnKe+Qt0AAEiNG899+AAA7JGnzhX0AABUiP7JDP4AAK6NzMkr+wAAj5KZyWP2AAAEmpnJMucAALyWgcm07wAABJravjLnAACPktq+Y/YAALyW8r607wAA45jMueblAAC8lpavZdEAANiVgbAg2wAAlZTOsWzjAADskcy5FfQAAJWUz7VS6wAAI5FdtXDwAAC1kM6xUusAACORNq9N5AAA7JFdrY7bAADYjI20FfQAAEiNIqtz3AAAro3GqfnRAACujcap+rsAAGqI06f6xgAAVIhQqJi7AAC9glCpWbAAAL2Cyqs9pgAAiX0zrMGmAAC9gqKzwZYAAKB9lq8/ngAAV33vuMiSAAChdzrE35EAAM13p77IkgAAo3iNtN6ZAAC/boHJP54AAOxy2r6QlwAAj3PMud6ZAAC/bvK+P54AAHdr2r7BpgAAHWmnvrGwAACraMK4+sYAAB1p77j6uwAAbmpYuYCxAACYbMy5DagAABFrorP6xgAAd2vls1+8AAC/bpavjrwAAFh0XbWDnQAA5XDPtaGiAACib4Gw07IAAOVwzrGHqgAAxnTOsaGiAABYdDavpqkAAI9zXa1lsgAAMngiq4CxAADNd8ap+rsAACd9UKiYuwAAvYJUp/rGAAARfdOn+sYAAL2C06eH0gAAzXfGqfnRAADscjOsk9EAAKJvgbAg2wAAj3NdrY7bAABXfcapQt0AAOVwzrFs4wAAWHQ2r03kAADGdM6xUusAAKN4Xa3m5QAAoH2Wr7TvAACJfeWzY/YAAL2COsT//wAAaog6xAP/AAC9gsK4FPwAAK6Np74r+wAAJIjvuCv7AADbh5avtO8AAL2Cyqu25wAA8oczrDLnAABZkBOTJZQAAMWIcpGCiAAAII0chiWUAACHzm2grjQAAKDfmosIMQAA4dIXlQspAADzxsyeCykAAA2JAnkojAAAqpbvew6hAADbklRrmpoAAFeea02amgAAxYhyka40AAAE0q6IIhwAAAXhHnyWIgAAgew1XpYiAACHzm2ggogAAPPGzJ4llAAAWK3bQA6hAAC8n+89KIwAAHuscjQllAAADYkCeQgxAAAgjRyGCykAAFmQE5MLKQAAqpbveyIcAACy6JpNIhwAAE/2h1AIMQAAPPJtQwspAAAC73Y2CykAAJb2FziuNAAAoN+aiyiMAADh0heVJZQAAATSrogOoQAABeEefJqaAACB7DVempoAAE/2h1AojAAAlvYXOIKIAACy6JpNDqEAADzybUMllAAAAu92NiWUAADbklRrliIAAFit20AiHAAAV55rTZYiAAC8n+89CDEAAHuscjQLKQAA1bAcKa40AABpuL0qCykAANWwHCmCiAAAabi9KiWUAABKRVUsApQAAK5MUipniAAAD1JgNQKUAACnCNY8yTQAADELJFUlMQAACA7kRy4pAAALENM6LikAAJ9fKD4LjAAAWVLFQeOgAABxYn9Nc5oAAKNwqmpzmgAArkxSKsk0AAB4GIdRTRwAADcWP2K9IgAAaSRqf70iAACnCNY8Z4gAAAsQ0zoClAAA0ngEhQKUAAAPUmA1LikAAEpFVSwuKQAAgTQji00cAADLNImXLikAAJBBlKAuKQAALDqXosk0AAAIDuRHApQAADcWP2JzmgAAaSRqf3OaAAA7J8COC4wAACw6l6JniAAAgTQji+OgAADLNImXApQAAJBBlKAClAAAcWJ/Tb0iAABjbmJ7TRwAAKNwqmq9IgAAqXvFdyUxAADSeASFLikAADN+EpDJNAAAz3YVki4pAAAzfhKQZ4gAAM92FZIClAAAWFToMVy0AAAzWP01gqwAAI9TwTOdqwAAxlRRL2G7AADlUFEve7MAAOVQUCthuwAAWFTCK3/AAACJXew0QbcAAKNYkSwkxAAAoF2JMcO/AAC9Ys43qa0AAL1iVTXFtwAAVGjOOGqiAACubVk3CKIAAGpoSzkJlwAAj3LsNKOhAADQclU1CZcAAK5tWTcJjAAAvHaJMZ2MAADsccEzdIIAANh1njDjggAABHo5LW6MAACVdFAvlnoAABl3wiu1eQAAI3HoMbV5AADjeFMnHHgAAAx7xyePgQAAlXRQK7ByAAC1cFEvsHIAAEht/TWPgQAAvWLLOQmXAAC9Yks5e4sAACddzjhqogAAEV1LOQmXAACiV843CZcAAM1XWTcJjAAAo0+eMC+rAAC/TokxdKEAAGJOwitctAAAmExTJ/W1AAB3Szkto6EAAI9TUyckxAAAv04tIsO/AADsUkUicsYAAHdLRSJBtwAAzVd4IjrLAAAeSXgiUa0AAL9OnRfDvwAAHkkwKAiiAACzR6oiaqIAAB5JUhdRrQAAEUt8LQmXAAA6R+Ucl6IAADpHwCIJlwAA7FLsNG6MAAAeSTAoCYwAAKNPnjDjggAAmEyRLHSCAACPU8EzdIIAAFhU6DG1eQAA5VBRL5Z6AABXXVk3wIAAAKNYwTMceAAAvWJVNUx2AADyZ+w00HYAANtniTFObgAAoF2JMU5uAAAjccIrkm0AANhskSztaQAAvWJ8LdBmAADscVMn7WkAALx2LSJObgAAj3JFIp9nAAAEekUi0HYAACRoMCjXYgAArm14ItdiAAC8dp0XTm4AAF18eCLAgAAABHqGF9B2AABdfDAoCYwAAF18UhfAgAAAanp8LQmXAADQfF0oCZcAAEF+5Rx7iwAAQX7AIgmXAABdfDAoCKIAALx+5RwJlwAA2HWeMC+rAADYbMEz9bUAACNx6DFctAAA43iRLJ2rAACVdFEve7MAAKJsnjDzvQAAtXBQL2G7AAC9YnwtQccAAPJnOS1yxgAAV10wKDrLAACiV+UcI8wAAL1iwCITzwAAEV3lHBPPAACPU3cSJMQAAJhMdxL1tQAA5VB6DmG7AAAzWAMSjMgAAFhUCQ5/wAAAYk4JDly0AACzRyAXaqIAAJhMOQ2dqwAAv0blHAmXAAAeSZoRCKIAADpHChcJlwAAs0eqIqeLAAA6R+Uce4sAAG5KxyePgQAAHkl4IsCAAABiTsIrtXkAAJhMUycceAAAd0tFItB2AADlUFArsHIAAMZUUS+wcgAAWFTCK5JtAACPU1Mn7WkAAIldOS2fZwAAM1jHJ4VlAAAnXaoi9l8AAGp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"), 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"), 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"), 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") 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+}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_o8svf") diff --git a/Resources/meshes/coil.tres b/Resources/meshes/coil.tres new file mode 100644 index 0000000..c664665 --- /dev/null +++ b/Resources/meshes/coil.tres @@ -0,0 +1,42 @@ +[gd_resource type="ArrayMesh" load_steps=3 format=4 uid="uid://djb1uswgwi8md"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_nj8cn"] +resource_name = "silver" +cull_mode = 2 +albedo_color = Color(0.5933174, 0.5933174, 0.5933174, 1) +metallic = 0.86274505 +roughness = 0.60457516 + +[sub_resource type="ArrayMesh" id="ArrayMesh_ppvlg"] +_surfaces = [{ +"aabb": AABB(5.3521824, -2.7436323, -3.018727, 13.992029, 5.468238, 7.3340616), +"format": 34896613377, +"index_count": 19008, +"index_data": 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"), 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BbQI7AakAdAI6AXUCdAJ1AjsBOgFyAnYCOgF2AnUCcgJzAnYCdQKoADsBdQJ2AqgAdgJzAh4AcwKpAB4AdgIeAKgAHgCpADwBqQA7AXcCqQB3AjwBOwGoAHgCOwF4AncCqAAeAD0BHgA8AT0BqAB5AngCqAA9AXkCdwJ4AqsAPAF3AnoCdwKrAHoCeAKqAKsAeAJ5AqoAeQI9AXsCPQE8AXsCeQJ7AqoAewI8AT4BPAF6Aj4BqgB7AnwCewI+AXwCqwCqAH0CqwB9AnoCqgB8An4CqgB+An0CfAI+AVoAfgJ8AloAegJ9AlsAfQJ+AlsAPgF6Aj8BegJbAD8BfgJ/AlsAfgJaAH8CWwB/AkABfwJaAEABWgA+AYACPgE/AYACWgCAAoECWgCBAkABgAI/Aa0AgQKAAq0APwFbAIICWwBAAYICQAGBAh8AgQKtAB8AggJAAUEBQAEfAEEBPwGCAqwAPwGsAK0AggJBAYMCrACCAoMCgwJBAYQCrACDAoQCQQEfAEIBQQFCAYQCrACEAoUCrQCsAIUCHwCtAEMBHwBDAUIBrQCGAkMBrQCFAoYChQKEAq4AhAJCAa4AQwGHAkIBQwGGAkQBQwFEAYcChgKFAogChgKIAkQBhQKuAIkChQKJAogCrgBCAUYBrgBGAYkCQgGHAiAAhwJEASAAQgEgAEYBiAKJAkUBiQJGAUUBiAJFAYoCRAGIAosCiAKKAosCIABEAUgBRAGLAkgBIACMAkYBIABIAYwCigJFAY0CigKNAosCRQFGAUkBRQFJAY0CRgGMAo4CjAJIAY4CRgGOAkkBiwKNAl0AjQJJAV0ASAGLAo8CiwJdAI8CjgJIAUoBSAGPAkoBSQGOAiEAjgJKASEAXQBJAUsBjwJdAJACXQBLAZACSgGPApECjwKQApECIQBKAZICSgGRApICSQEhAEwBSQFMAUsBIQCSApMCIQCTAkwBkAJLAZQCkAKUApECSwFMAZUCSwGVApQCTAGTArAATAGwAJUCkwKSApYCkwKWArAAkgKRAq8AkgKvAJYClAKVAk0BlQKwAE0BkQKUArEAlAJNAbEArwCRAk4BkQKxAE4BlgKvAE8BrwBOAU8BsACWApcCsACXAk0BlwKWAk8BTgGxAJgCsQBNAZgCTQGXAiIAlwJPASIAmAJNAZkCTgGYApoCmAKZApoCTgGaApsCmgKZAl4AmwKaAl4ATgGbApwCTwFOAZwCmwJeAJwCTQGyAJkCTQEiALIAmQJQAV4AmQKyAFABIgCdArIAIgBPAZ0CsgAjAFABsgCdAiMAnQJPAZ4CnQKeAiMATwGcAp4CUAEjAJ8CIwCeAp8CUAGfAqACXgBQAaACnwKeAqECnAJeAKICXgCgAqICnAKiAqMCngKcAqQCnAKjAqQCngKkAqECowKiAlQBogKgAlQBowJUAaQCnwJSAaACnwKhAlIBoAJSAaUCUgGhAqUCVAGgArQAoAKlArQApAJUAV8AVAG0AF8ApAJfAKYCoQKkAlYBpAKmAlYBpQKhAlMBoQJWAVMBtAClAmAApQJTAWAAXwC0AKcCtABgAKcCpgJfAKgCXwCnAqgCpgKoAlYBpwJgAKkCYABTAakCqAKnAqoCpwKpAqoCVgGoAlUBqAKqAlUBUwFWAbYAqQJTAasCUwG2AKsCqgKpAiQAqQKrAiQAqgIkALUAVQGqArUAVgFVAawCVgGsArYArAJVAa0CrAKtArYAVQG1AFcBVQFXAa0CrQJXAVgBtgCtAlgBVwG1AK4CVwGuAlgBtgBYAVkBqwK2AFkBJACrAq8CqwJZAa8CtQAkAFoBtQBaAa4CJACvAloBrgJaAbACWgGvArACWAGuArECWQFYAbICWAGxArICWQGyAmEAsgKxAmEArgKwArMCrgKzArECsAKvArQCswKwArUCsAK0ArUCsQKzArcAswK1ArcAsQK3AGEAtwC1ArgAtQK0ArgAYQC3ALYCtwC4ALYCtgK4ALcCrwK4ArQCrwJZAbgCuAC0AiUAuAAlALcCtAK4ArkCtAK5AiUAWQFbAbgCWQFhAFsBuAJbAVwBuAJcAbkCWwFhALoCYQC2AroCWwG6ArsCWwG7AlwBugK2ArwCtgK3ArwCugK8ArsCvAK3AiUAuwK8ArkAvAIlALkAuwK5AGIAXAG7AmIAuQAlAL0CJQBfAb0CJQC5Al8BuQC9Ar4CYgC5AL4CvgK9Al8BXAFiAL8CYgC+Ar8CXAG/AsACuQJcAcECXAHAAsECwAK/Al0BwAJdAcECvwK+AroAvwK6AF0BvgJfAboAugBfAcICXQG6AMMCugDCAsMCXwG9AMICwwLCAr0AXwG5AsQCuQLBAsQCXwHEAr0AwQJdAbsAXQHDArsAwQK7AF4BxALBAsUCwQJeAcUCXgG7AMYCXgHGAsUCuwDDAmABuwBgAcYCwwLHAmABwwK9AMcCxALFAsgCxALIAr0AxQLGAskCxgJgAckCyALFAr4AxQLJAr4AvQDIAiYAxwK9AMoCYAHHAsoCvQAmAMoCYAHKAmQAygImAGQAyQJgAbwAYAFkALwAyQK8AMsCvgDJAssCywK8AGYBvgDLAmYBvABkAMwCvADMAmYBZAAmAGUBZABlAcwCJgDIAmIByAK+AGIBZQEmAGQBJgBiAWQBzAJlAc0CZQFkAc0CzALNAmMBZgHMAmMBYgG+AM4CvgBmAc4CYgHPAmQBYgHOAs8CzQJkAdACZAHPAtACYwHNAmcBzQLQAmcBZgFjAdECzgJmAdECYwFnAdIC0QJjAdICzgLRAmUA0QLSAmUAzgJlAM8CZwHQAmkB0gJnAdMCZwFpAdMCZQDSAr8A0gLTAr8AzwJlANQCZQC/ANQCzwLUAtUC0ALPAtYC0ALWAmkBzwLVAtYC0wJpAdcCaQHWAtcCvwDTAtgC0wLXAtgC1AK/ANkCvwDYAtkC1QLUAtoC1QLaAtYC1ALZAtoC2QLYAmoB2ALXAicA2AInAGoB1wLWAmsB1wJrAScA1gLaAsEA1gLBAGsB2gLZAsIA2gLCAMEA2QJqAcIAJwBrAdsCawHBAMQAawHEANsCwQDCAG0BwQBtAcQAwgBqAdwCwgDcAm0BagHdAtwCagEnAN4CagHeAt0CJwDbAt4C3ALdAsMA3QLeAsMAbQHcAt8C3ALDAN8CwwDeAmwB3gLbAmwB2wLEAOAC2wLgAmwBxABtAeECxADhAuACbQHfAuECwwBsAeIC3wLDAOIC4ALhAsUA4QLfAsUAbAHgAm4B4gJsAeMCbAFuAeMC3wLiAm8B4gLjAm8BxQDfAmYA3wJvAWYA4ALFAOQC4ALkAm4BxQBmAOQCbgHkAuUC5AJmAOUCbgHlAuYC4wJuAeYCbwHjAucCZgBvAecC4wLmAigA5QJmAGcA5wLjAugC4wIoAOgCZgDnAscA5wLoAscAZgDHAGcA5gLlAukC5QJnAOkC5gLpAsYA5gLGACgA6QJnAHEBxgDpAnEBZwDHAOoCZwDqAnEBxwBzAeoCxwDoAnMBKADGAOsCxgBxAesC6AIoAHQBcwHoAnQBKADrAuwCKADsAnQB6gJzAe0CcwF0Ae0CcQHqAnAB6gLtAnAB6wJxAe4CcQFwAe4C6wJoAOwC6wLuAmgAdAHsAnUB7AJoAO8C7ALvAnUBaADuAvAC7gJwAfEC7gLxAvACaADwAsoAaADKAO8C8ALxAvIC8ALyAsoAcAHJAPECcAHtAskA8QLzAvIC8QLJAPMC7QL0AskA7QJ0AfQCyQD1AvMCyQD0AvUC9AJ0AcgA9ALIAPUCdAF1AcgA8gLzAvYC8wL1AvYC9QLIACkA9gL1AikAyAB1AfcCyAD3AikA8gL2AnYBygDyAnYB9gIpAHcBdgH2AncBygB2AfgC7wLKAPgC7wL4AnUB+AJ2AWkAdgF3AWkAdQH4AssA+AJpAMsAdQHLAPcCaQB3AfkCywBpAPkCdwEpAPoCdwH6AvkCKQD3AvsCKQD7AvoC9wLLAHkBywD5AnkB9wJ6AfsC9wJ5AXoB+gL7AngB+QL6AvwC+gJ4AfwCeQH5AnsB+QL8AnsBegF5Af0CeQF7Af0C+wJ6Ac0AeAH7As0AegH9Av4C/QJ7Af4CegF9Ac0AegH+An0BeAHNAHwB/AJ4AWoAewH8AmoAagB4AXwB/gJ7Af8CewFqAP8CagAAA/8CagB8AQAD/gL/AswAfQH+AswA/wIAAwEDAAN8AQEDzAD/An4B/wIBA34BfQHMAAIDzAB+AQIDzQB9ASoAzQAqAHwBfQECA38BfQF/ASoAfwECAwMDAgN+AWsAAgNrAAMDfwEDA4IBAwNrAIIBKgB/AYMBfwGCAYMBfgHOAGsAfgEBA84AawAEA4IBawDOAAQDzgCAAQQDAQN8AQUDAQMFA84AfAEqAAUDzgCBAYABzgAFA4EBBQMqAIQBBQOEAYEBKgCDAYQBBAOAAQYDgAGBAQYDBAMGAwcDggEEAwcDBgOBAQgDgQGEAQgDBwMGA4cBBgMIA4cBggEHAwkDgwGCAQkDBwOHAWwACQMHA2wAgwEJAwoDhAGDAQoDCQNsAM8ACgMJA88ACgOGAYQBCgPPAIYBCAOEAQsDhAGGAQsDhwEIA4UBCAMLA4UBbACHAQwDhwGFAQwDzwBsAA0DbAAMAw0DhgHPAA4DzwANAw4DhgEPAwsDDQMMAxADDAOFARADDgMNA4gBDQMQA4gBhgEOAxEDhgERAw8DDgOIAREDCwMPA4kBDwMRA4kBEQOIAdEAiAEQA9EAEAOFAdAAEAPQANEAhQELAysACwOJASsAhQErANAAEQPRAG0AEQNtAIkBbQDRAIsBiQFtAIoBbQCLAYoBKwCJARIDiQGKARID0AArABMDKwASAxMD0QDQAIwB0QCMAYsB0AATAxQD0AAUA4wBEgOKARUDigGLARUDjAEUAxYDjAEXA4sBjAEWAxcDFQOLARgDiwEXAxgDFwMWAxkDFgMUAxkDFwMZAxg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"), 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"), 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"), 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"), 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"), 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AZgPSAV4AzwEBAdEB0QEBAWYDzwHTAQEBZgNnA9IBAQFnA2YD0wFoAwEBAQFoA2cDAgELANMB0wFpA2gD0wELAGkDaANpA2cDZwMMANIBCwADAWkDaQPUAWcDaQMDAdQBZwPUAWoDZwNqAwwAAwFrA9QBCwDVAQMBBAHVAQsAbANrAwMB1QFsAwMBBAFtA9UBnABtAwQB1QEGAWwDbAMGAWsD1AFrA18A1AFfAGoDawMGAdgBawPWAV8AawPYAdYBBgFuA9gBXwDWAW8DXwBvA2oDcANuAwYB1QFwAwYBbgNxA9gBcANxA24D2AFyA9YB2AFxA3ID1gFyA9kB1gHZAW8DcQMNAXIDcgMNAdkBcQNzAw0BbwPZAXQDcQMOAHMDagNvA9cBbwN0A9cBDQF1A9kB2QEQAHQD2QF1AxAAdAMQANsBEAB1A90BdAPbAXYDdgPbAaIADQGfAHUDcwOfAA0BdQPcAd0BnwDcAXUDcwPhAZ8A3AERAd0B3QERAaAAEQF3A6AAnwDgAdwB4QHgAZ8A3AF4AxEB4AF4A9wBEQF5A3cDeAN5AxEBeQMSAHcDeQPeARIA3wF5A3gD4AHfAXgDegPeAXkD3wF6A3kDewPeAXoDewMTAN4BDgETAHsDEAF7A3oDEAF6A98BDgF7AxAB4AEQAd8BfAMOARABfAMQAeABYwAOAXwD4QF8A+ABfQNjAHwDfQN8A+EBDgB9A+EBDgDhAXMDfgMOAHEDcAN+A3EDfwMOAH4D2gF+A3AD2gF/A34DfwOAAw4A4gGAA38D4gFlAIADDAF/A9oBgQN/AwwBgQPiAX8DggMMAdoBngCBAwwBngAMAYID4wFlAOIB4wEJAWUA4wEPAAkB5AEPAOMB5AHjAYMDCAHkAYMDgwPjAYQD5QHjAeIBhAPjAeUB5QHiAQsBCwHiAYEDnQCEA+UBgwOEA50ACgHlAQsBnQDlAQoBhQMLAYEDCgELAYUDhQOBA54AhgODA50ACAGDA4YDhwOdAAoBhgOdAIcDCAGGA+cB5wGGA4cDZwAIAecB5gEKAYUDhwMKAeYB5gGFA+kB6QGFA54AiAOHA+YB5wGHA4gDZgDmAekBiAPmAWYA6QGeAO0B7QGeAIIDZgDpAYkDiQPpAe0B6AGIA2YA5wGIA+gBigNmAIkD6AFmAIoDiwPnAegBiwPoAYoDZwDnAYsDZwCLA4wDjAOLA+oBiwOKA+oBjAPqAZwAnADqAW0D6gGKAwUBigOJAwUB6gHrAW0D6gEFAesBBQGJA+wBBQHsAesBiQPtAewBbQPrAY0D7AHtAY4D7QGCA44DjgOCA9oB6wHsAWQA7AGOA2QA6wFkAI0DjgPaAY8DZACOA48DjwPaAXADjQNkAJADZACPA5ADbQONA5ADkAOPA3ADbQOQA9UBkANwA9UBDABqA5EDagPXAZEDDACRA5IDDACSA/IBkQPXAQcBkQMHAZID8gGSA/AB8gHwAWEAYQDwAZMDYQCTAxQBFAGlAPMBFAGTA6UAkwOUA6UAlANiAKUAkwOVA5QD8AHxAZMDkwPxAZUDlQOkAJQD8QGkAJUDlAOWA2IApACWA5QDlgP3AWIA9wGXA2IApACYA5YDmAP3AZYD8QETAaQAEwGYA6QA9wGZA5cDmQMRAJcDmQOaAxEA9QGaA5kD9QGiAJoD7wETAfEB8AHvAfEBdgOiAPUB8AGbA+8BkgObA/AB7wGcAxMBmwOcA+8BkgPuAZsDnAP4ARMBkgMHAe4BEwH4AZgDmwOhAJwD7gGhAJsDnAP5AfgBoQD5AZwD+AGdA5gDmAOdA/cB7gGeA6EABwGeA+4BoQD6AfkBngP6AaEAnQMSAfcBEgGZA/cB+AGjAJ0DowASAZ0D+QGjAPgBnwOZAxIBowCfAxIBnwP1AZkD+QGgA6MAoAOfA6MA+gGgA/kB9gH1AZ8DoAP2AZ8D9AH1AfYBYAD2AaAD+gFgAKADYAD0AfYB9AF2A/UB+wFgAPoBngP7AfoBBwH7AZ4D+wGhA2AAoQP0AWAABwGiA/sBogOhA/sB1wGiAwcBoQOjA/QBowN2A/QBogMPAaEDDwGjA6ED1wEPAaIDDwF2A6MD1wF0Aw8BdAN2Aw8BpAOmAKUDFACkA6UDFAClA6YDFAD9AaQDpgOlA6cDpQOmAKcDpgOnAxYBFgGnAxYA/QGoA6QD/QEAAqgDpAOoA6kDpAOpA6YAAAKqA6gDpwOrAxYAFgCrA/4BpwOmAPwBpwP8AasDqwNqAP4BAAICAqoDqAOqA6wDqAOsA6kDqgMCAqwDAAJoAAICqwOtA2oArQMBAmoA/AGuA6sDrgOtA6sDpgCuA/wBrgMVAa0DFQEBAq0DpgCvA64DrwMVAa4DpgCpA68DqQP/Aa8DrwP/ARUBqQOsA/8B/wGwAxUB/wGsA7ADsAMDAhUBrAMDArADFQEDAgECrAMCAgMCAwKxAwECAgJpAAMCAwJpALEDsQOyAwECaQCyA7EDAQKyA6gAAgKzA2kAaACzAwICaQAEArIDswMEAmkAsgMGAqgABAIGArIDBgK0A6gAaAAFArMDswMFAgQCaAAYAQUCGAG1AwUCGAG2A7UDBQIHAgQCBQK1AwcCtgMIArUDtQMIAgcCtgMVAAgCBAIHAqkABAKpAAYCBwIIAhkBBwIZAakAqQC3AwYCBgK3A7QDqQAZAbcDtwMXAbQDtwMJAhcBtwMZAQkCCQIXABcBGQG4AwkCCQK4AxcAGQGqALgDCAKqABkBCAK5A6oAFQC5AwgCqgC6A7gDuQO7A6oAqgC7A7oDuQO8A7sDFQC8A7kDuwMKAroDvAMKArsDuAO6AwsCugMKAgsCuAMLAhcAFQAaArwDvQMaAhUAvAO+AwoCvQO/AxoCGwG/A70DGgLAA7wDGwHBA78DbADBAxsBbAAcAsEDwQMcAr8DbAAdAhwCvwPCAxoCGgLCA8MDGgLDA8ADvwMcAcIDHAIcAb8DwgMdAcMDHAEdAcIDwwMZAsADHQEZAsMDHAIeAhwBHQIeAhwCHAHEAx0BHgLEAxwBHQLFAx4CHgLFA8QDHQIfAsUDHwIgAsUDxQMgAsQDHwIbACACIAIbAMYDxAMgAhsCIALGAxsCxAMbAh0BGwLGAx4BGwLHAx0BGwIeAccDHQHHAxkCxwMeARoAxwMaABkCGQIaABgCGQIYAsgDwAMZAsgDwAPIAxcCvAPAAxcCFwLIA8kDvAMXAr4DFwLJA74DyAMYAskDvgPJA6sAvgOrAMoDCgK+A8oDygOrACABCgLKAwsCqwDJA8sDqwDLAyAByQPMA8sDyQMYAswDIAHLA80DygMgAc0DCwLKA80DywPMA80DCwLNA84DzQPPA84DCwLOA9ADFwALAtADzgPPA60AzgOtANADzQMVAs8DzQPMAxUCzwMVAq0AFwDQAwwC0AOtANED0APRAwwCrQAUAtEDrQAVAhQCDALRA9ID0QMUAtIDFwAMAiIBDALSAyIBFwAiASMBIwEiAQ0CIwENAtMDIgHSAw8CIgEPAg0C0gPUAw8C0gMUAtQDDQIPAtUDDwLUA9UD0wMNAg4CDQLVAw4C0wMOAqwArAAOAhACDgJrABACDgLWA2sADgLVA9YD1gMRAmsA1gPXAxEC1QPXA9YD1wMZABEC1QMSAtcDEgIZANcD1AMSAtUDEgLYAxkA2APZAxkA2AMlAdkDEwLYAxICEwIlAdgD1AMTAhICEwLaAyUB1AMUAhMCFALaAxMCFAIYANoDFQIYABQCFQLbAxgAHwHbAxUCzAMfARUCzAPcAx8B3APbAx8BGALcA8wDGALdA9wD3APdA9sDGAIaAN0D2wMlAhgAJQLeAxgA3QMWAtsDFgIlAtsDGgDfA90D3QPfAxYCGgAhAt8D3wMhAhYCGgAhASECJQIkAt4DJAImAd4DJALgAyYBrwAkAiUCFgKvACUCJALhA+ADrwDhAyQCFgIjAq8AIQIjAhYCIwLhA68AIQHiAyECIQLiAyMCIQHjA+IDIwIiAuED4gMiAiMC4wPkA+ID4gPkAyIC4wMcAOQD5AMcAOUD5APlAyIC5QMcAOYDIgLlAycB5QPmAycBIgInAeEDJwHmAygB4QMnAecDJwEoAecD4QPnA+AD5wMoAR0A5wMdAOADKQEmAugDHgApAegDHgDpAykBHgDoAycC6QPqAykBKQHqAyYC6QNtAOoDJwLoA+sDbQAqAeoD6gMqASYCbQAoAioB6wPoAykC6wMpAiAAKQLsAyAA7AOwACAAKQIqAuwD7AMqArAA6AMqAikCKgIrArAAJgLtA+gD6APtAyoCJgIqAe0D7QMqASwC7QMsAioCKgEoAiwCKgLuAysCKgIsAu4D7gPvAysCLALwA+4D7gPwA+8DKALxAywCLALxA/AD8AMtAu8D8APxAy0CLQJuAO8DKALyA/EDLQLzA24AbgDzAy8C8QP0Ay0CLQL0A/MD8gMsAfED8QMsAfQDKAIwAvIDMAIsAfIDKwEwAigCKwH1AzAC9QMxAjACMAIyAiwBMAIxAjICLAEyAvQDMQIhADICMgItAfQDMgIhAC0B9AMtAS4C9AMuAvMD8wMuAh8A8wMfAC8CLQH2Ay4C9gMfAC4CLQEzAvYDIQAzAi0B9gOyAB8A9gMzArIAHwCyAPcDMwL4A7IAsgD4A/cD9wMuAR8A+ANDAvcD9wNDAi4BMwL5A/gDIQA0AjMCNAL5AzMC+AP6A0MC+QP6A/gDNAIvAfkD+QMvAfoD+wM0AiEAIQA1AvsDNgI1AiEA+wP8AzQC/AMvATQC+wM3AvwDNQI3AvsDIgAvAfwDNwIiAPwDOAI1AjYC/QM4AjYCNQIzATcCMwEiADcCNAE4Av0DOQIzATUCOAI5AjUCOAKzADkCOQI8AjMBswA8AjkCOAI6ArMANAE6AjgCOgI8ArMANAFvADoCOwJvADQBbwD+AzoC/gM9AjoCOgI9AjwC/gMjAD0CPQIjAP8DPQL/AwAEPQIABDwCAAT/A7QAPAIABAEEAAS0AAEEPAIBBDMBAQS0ACIAMwEBBCIALwEiAD4CLwE+AvoD+gM+Aj8CIgA3AT4CPgICBD8CPgI3AQIEIgADBDcBIgC4AAMEuAAEBAMENwEDBEECNwFBAgIEAwQEBAUEAwQFBEECBAQmAAUEBQQmAEACBQRAArcAQQIFBLcAtwBAAgYEtwAGBAcEBgQnAAcENgEHBCcAtwAHBEICQgIHBDYBQQK3AEICNQFCAjYBQQJCAjUBNQE2AQgEAgRBAjUBJAA1AQgEAgQ1ASQAPwICBCQAPwIkAPoD+gMkAAkEQwL6AwkECQQkAAoEQwIJBDIBCQQKBDIBQwIyAS4BMgEKBAsEMgELBC4BCwQKBAwEDAQKBDEBLgELBEUCRQILBAwELgFFAg0EHwAuAQ0EHwANBEQCRAINBHAADQRFArUAtQBFAkYCDQS1AEYCRQIMBEYCDQRHAnAADQRGAkcCcABHAg4EDgRHAkgCRwK2AEgCRgIPBEcCRwIPBLYARgIMBA8EDwQQBLYAtgAQBCUADAQRBA8EDwQRBBAEEQQlABAEDAQxAREEEQQxASUASQISBBMEKAASBEkCKABJAhQESQITBBQEKAAUBDgBOAEUBEwCFAQTBEwCOAFMAioAKAAVBBIEFQQWBBIEFQQ7ARYEOwFKAhYEFgRKAhIEOwFLAkoCTAIXBCoAFwQ5ASoAFwQYBDkBFwRNAhgETAJNAhcETQJxABgETAK5AE0CEwS5AEwCuQA6AU0CEwQ6AbkAOgFxAE0CEgQ6ARMEEgRKAjoBSgIZBDoBSwIZBEoCOgEaBHEAOgEZBBoESwIbBBkEGQQbBBoESwIcBBsESwIdBBwEHQRTAhwEGgRPAnEATwIeBHEATwI8AR4EGgS6AE8CGgQbBLoATwJQAjwBugBQAk8CGwRRAroAugBRAlACHARRAhsEUAIfBDwBPAEfBCsAUQIgBFACIAQfBFACHARSAlECUQJSAiAEHARTAlICUwIpAFICUgI9ASAEUgIpAD0BIAQhBB8EIAQ9ASEEIQQrAB8EPQG7ACEEKQC7AD0BIQRUAisAIQS7AFQCKwBUAiIEIgRVAisAVAI+ASIEIgQ+AVUCVAJXAj4BuwBXAlQCVwIjBD4BKQBcArsAuwBDAVcCQwFaAlcCVwJaAiMEJARDAbsAXAIkBLsAJAQlBEMBQwElBFoCXAJbAiQEWwIlBCQEJgRcAikAJgRbAlwCKQBeAiYEXwJeAikAJgRdAlsCXgJdAiYELAAlBFsCXQIsAFsCYQJeAl8CJwRhAl8CXgJIAV0CSAEsAF0CZQJhAicEYgJIAV4CYQJiAl4CZQJkAmECYQJKAWICYQJkAkoBZQJLAWQCSwEoBGQCSgFjAmICYgJjAkgBZAJjAkoBKARMAWQCZAJMAWMCKAQtAEwBTAEtACkETAEpBCoETAEqBGMCKgQpBEkBYwIrBEgBYwIqBCsEKgRJASsESAErBCwAKwRJASwAJQQsACwEJQQsBFoCLAAtBCwELARgAloCLAQtBGACLAAuBC0ELABHAS4ERwEvBC4ELgREAS0ELQREAWACLgQvBDAELgQwBEQBLwQxADAEYAJEAbwARAEwBLwAMAQxADEEMAQxBLwAMQBGATEEMQRGAWYCvAAxBGYCRgEwAGYCMgRmAjAAvABmAjIEMgQwAEUBMwQyBEUBNAS8ADIENAQyBDMEYAK8ADQELgA0BDMEYAI0BC4AWgJgAi4AWgIuACMEIwQuADUEIwQ1BDYEPgEjBDYEPgE2BFUCNgQ1BDcENgQ3BFUCNwQ1BDgEOAQ1BEIBVQI3BFYCVgI3BDgEVQJWAjkEKwBVAjkEKwA5BD8BPwE5BDoEOQRWAnQAdABWAlgCOQR0AFgCVgI4BFgCOQRZAjoEOQRYAlkCOgRZAnUAdQBZAjsEWQJAATsEWAJBAVkCWQJBAUABWAI4BEEBQQE8BEABQAE8BC8AOAQ9BEEBQQE9BDwEPQQvADwEOARCAT0EPQRCAS8AagI+BGcCPwRqAmcCMgBqAj8EMgA+BGoCPwRnAmkCMgC9AD4EaQJnAkAEvQBBBD4EvQBrAkEEawJsAkEEQQRsAj4EQARnAk8BQARPATQAPgRNAWcCPgRsAk0BawJtAmwCZwJNAWgCZwJoAk8BTQFsAkIETQFCBGgCbQJDBGwCbAJDBEIETwFEBDQATwFoAkQERARQATQARARFBFABaAJOAUQERAROAUUEQgROAWgCTgF2AEUEQgR2AE4BQgRGBHYAQgRDBEYERgRHBHYAdgBHBEgEQwRJBEYEbQJJBEMERgS+AEcERgRJBL4ARwRKBEgESARKBFEBvgBLBEcERwRLBEoESQRwAr4AvgBwAksEbQJMBEkETARwAkkEbQJNBEwETQRyAkwETARxAnACTARyAnECcAJxAksEcgI1AHECcQJSAUsEcQI1AFIBSwRSAW8CSwRvAkoESgRvAjMASgQzAFEBUgFOBG8CTgQzAG8CUgFPBE4ENQBPBFIBTgRzAjMATgRPBHMCNQBTAU8ETwRUAXMCUwFQBE8ETwRQBFQBUQRTATUANQB+AlEEfwJ+AjUAUQRSBFMBUwFSBFAEUQRcAVIEfgJcAVEEUgS/AFAEgQJ+An8CUwSBAn8ChAKBAlMEUAS/AHYCUAR2AlQBNgC/AFIEXAE2AFIEvwB3AnYCvwA2AHcCdgJUBFQBdgJ3AlUEdgJVBFQEdwJWBFUENgBWBHcCVQRWBFcEVQRXBFgEVQRYBFQEVgTBAFcEVARYBFkEWARaAVkEVARZBDgAVwR7AlgEWAR7AloBVwTBAHsCewJaBFoBWgFaBDsAWwQ7AFoEfAJaBHsCfAJbBFoEwQB8AnsCfAJ9AlsEXAR9AnwCwQBcBHwCXARdBH0CXgRdBFwEXgQ6AF0EXwRcBMEAXwReBFwEXwTBAFYEWwFeBF8ENgBfBFYENgBbAV8EYARdATYAYQRdAWAEYgRgBDYAYQRgBGIEYgQ2AFwBfgJiBFwBYQRjBF0BgAJiBH4CgAJhBGIEgQKAAn4CgQJeAYACXgGCAoACgQKCAl4BggJhBIACZASCAoEChAJkBIECggKFAmEEhQJjBGEEZASFAoIChAKDAmQEZQRjBIUCZQSFAmQEgwJlBGQENwBjBGUEgwLAAGUEwAA3AGUEcwJUAWYEcwJmBDMAVAFnBGYEVAFUBGcEVAQ4AGcEZgRnBHQCZgR0AjMAZwQ4AFgBZwRYAXQCWAE4AGgEMwB0AnUCdAJYAXUCMwB1AmkEMwBpBFYBVgFpBGoEWAFoBGsEawRoBFkBdQJYAXgCWAFrBHgCdQJsBGkEdQJ4AmwEaQRsBMIAbAR4AsIAawRZAW0EeAJrBG0EbQRZATkAbQQ5AG4EVwFuBDkAbwRtBG4EbwRuBFcBeAJtBG8EwgB4AnkCeQJ4Am8EaQTCAHkCegJvBFcBeQJvBHoCaQR5AnoCegJXAXAEaQR6AmoEeAB6AnAEagR6AngAhgJxBHIEPABxBIYCPACGAnIEPABzBHEEPAByBGEBcwR0BHEEcwTEAHQEcQRfAXIExACKAnQEdASJAnEEcQSJAl8BdASKAokCcgRfAYcCXwGJAocCYQFyBIgCcgSHAogCYQGIAj4AiQKKAnUEiQJ1BIcCiAJ2BD4AdgTDAD4AdgR3BMMAiAJ4BHYEdgR4BHcEiAKHAngEeARgAXcEhwJgAXgEhwJ1BGABYAF6AHcEdQR6AGABdQR5BHoAigJ5BHUEeQR6BHoAegB6BHsEegTFAHsEegSOAsUAeQSOAnoEjgJ8BMUAxQB8BD8AigKMAnkEigJ7AIwCeQR9BI4CjgJkAXwEfQRkAY4CewB+BIwCewB/BH4EfwSNAn4EfgSABIwCjAKABHkEfgSNAoAEgAR9BHkEjQKBBIAEgASBBH0EfQSBBGQBjQI9AIEEgQQ9AGQBZAGCBHwEggQ/AHwEZAHGAIIEPQDGAGQBggSPAj8AggTGAI8CPwCPAoMEgwSQAj8AjwJoAYMEgwRoAZACxgCSAo8CjwKSAmgBPQCEBMYAxgCWApIChASWAsYAPQBlAYQEZQGWAoQEhQRlAT0APQCZAoUEmgKZAj0AhQSYAmUBmQKYAoUEmAKGBGUBhwSZApoCiASHBJoCfACHBIgEZQGGBGcBZQFnAZYCmAJAAIYEQABnAYYEmQKbApgCmwJAAJgCiQSbApkChwSJBJkCiQScApsCnAJAAJsChwRmAYkEZgGcAokEnQJmAYcEfACdAocEfADNAJ0CngLNAHwAzQCKBJ0CnQKLBGYBZgGLBJwCigSLBJ0CigSMBIsEigRBAIwEjARBAI0EjASNBIsEiwSNBJwCnAKNBMwAnALMAEAAQADOAI4EzgCPBI4EjwRsAY4EjwREAGwBQACOBJcCbAFEAJAERABrAZAEjgRsAZEElwKOBJEEbAGQBJ8CkQRsAZ8CkARrAZIEnwKQBJIEawFFAJIEywCSBEUAnwKSBMsAkwSfAssAkQSfApMEkwTLAJQEQgCTBJQElQSRBJMElQSTBEIAlwKRBJUElgSXApUEQACXApYEZwFAAJYElgSVBJUClQKVBEIAZwGWBJcElwSWBJUClgJnAZcElgKXBJIClwSVApgElQJCAJgElwSYBJICkgKYBGgBmARCAJkEaAGYBJoEmASZBJoEaAGaBJACmgSZBGoBmgRqAZACagGZBJsEmwSZBMcAkAJqAZECkQJqAZsEkAKRApwEPwCQApwEPwCcBMgAyACcBJ0EnASRAmkBaQGRApMCnARpAZMCkQKbBJMCnASUAp0EnASTApQCnQSUAn0AfQCUAp4ElALJAJ4EkwKfBJQClAKfBMkAkwKbBJ8EnwSgBMkAyQCgBEMAmwShBJ8EnwShBKAEoQRDAKAEmwTHAKEEoQTHAEMAoAKiBKMEowSiBG4BowRuAUYAogTPAG4BbwGgAqMERwCgAm8BogShAs8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+}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_ca5s0") diff --git a/Resources/meshes/dino2.tres b/Resources/meshes/dino2.tres new file mode 100644 index 0000000..b8789b4 --- /dev/null +++ b/Resources/meshes/dino2.tres @@ -0,0 +1,71 @@ +[gd_resource type="ArrayMesh" load_steps=4 format=4 uid="uid://csusyspanofex"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_pi33b"] +resource_name = "green" +cull_mode = 2 +albedo_color = Color(0.02668333, 0.693286, 0.06762542, 1) +roughness = 0.43464053 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_e86gq"] +resource_name = "yellow" +cull_mode = 2 +albedo_color = Color(1, 0.81524926, 0.18896504, 1) +roughness = 0.43464053 + +[sub_resource type="ArrayMesh" id="ArrayMesh_y7f0j"] +_surfaces = [{ +"aabb": AABB(-0.36353374, -0.22597939, -0.15801907, 0.66341484, 0.4116426, 0.31903172), +"format": 34896613377, +"index_count": 18432, +"index_data": 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"), 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COQGUAlwEOQFcBKcClAKTAqQAkwJtAaQAXASUAl0ElAKkAF0EXARdBAEApwKmAqgCqAKmAl8AXAReBKcCXAQBAF4EpwJeBKYCpgKkAl8AAQBdBJoCAQCaAl4EXgRRAaYCpgJRAaQCXgSaAlEBXQSVApoCXQSkAJUCmgKZAlEBmgKVApkCUQE7AKQCUQGZAjsApAI7AKMCpABSAZUCpABtAVIBlQKWApkClQJSAZYCmQKXAjsAmQKWApcCOwBTAaMCOwCXAlMBowJTAaECUwFdAKECUwGYAl0AlwKYAlMBmAKbAl0AlgKmAJcClwKmAJgClgJUAaYAUgFUAZYCpgBWAZgCmAJWAZsCVAFeAKYApgBeAFYBUgF0AlQBbQF0AlIBVAFXAV4AdAJXAVQBbQFcAHQCbAFcAG0BbAFrAVwAXABVAXQCdAJVAVcBawFiAVwAXABiAVUBawF1AmIBdQJxAmIBdQKiAHECYgFvAlUBYgFxAm8CVQGlAFcBVQFvAqUAVwGlAHACVwFwAl4AogBfBHECogB3Al8EdwIFAF8EcQJfBFsBcQJbAW8CXwQFAGAEXwRgBFsBBQBcAmAEbwJbAW0CbwJtAqUAWwFgBKMAWwGjAG0CYARcAl8BYARfAaMAXAJbAl8BpQBtAm4CpQBuAnACbQKjAFwBbQJcAW4CowBfAWACowBgAlwBXwFbAl4CXwFeAmACWwJaAl4CWwJZAloCWQJXAloCWgJXAlgCVwJUAlgCWAJUAlYCWgJYAl8CXgJaAl8CWAJWAmECXwJYAmECYQJWAmICXgJfAl4BYAJeAl4BXwJhArMAXgFfArMAYQJiAmMCswBhAmMCYwJiArIAYwKyACQBZgJjAiQBswBjAmYCZgIkAWcCXgGzAGgCaAKzAGYCYAJeAasAqwBeAWgCXAFgAqsAMwBmAmcCaAJmAjMAMwBnAlUEagIzAFUEXQFoAjMAXQEzAGoCqwBoAl0BXAGrAGwCbAKrAF0BbgJcAWwCWgFdAWoCbAJdAVoBWgFqAmsCbgJsAjUANQBsAloBcAJuAjUAWQFaAWsCNQBaAVkBWQFrAnMCcAI1AHICcgI1AFkBXgBwAnICXgByAlYBcgJZAakAqQBZAXMCVgFyAqkAqQBzApwCVgGpAJsCmwKpAJwCYQS8AGIEYgS8AGMEYQRkBLwAvABlBGMEvABkBGUEYwRlBGYEZARuAWUEYgRjBOsCZARnBG4B6gJnBGQEYQTqAmQEZwRoBG4B6gJoBGcEZQRuAWkEZQRpBGYEbgFqBGkEbgFoBGoEZgRpBHEBaQRrBHEBaQRqBGsEZgRxAWwEcQFrBGwEagRtBGsEawRtBO4CawTuAmwEagTtAm0EaATtAmoE7QJmAG0EbQRmAO4CaARvAe0C7QJuBGYAbwFuBO0CbwRvAWgE6gJvBGgEbwFwBG4EbwRwBG8B8gJvBOoCPQBwBG8E8gI9AG8EcATvAm4EbgRxBGYAbgTvAnEEZgBxBHIEZgByBO4C7wJzBHEEcQR0BHIEcQRzBHQE7gJyBPACcgR0BPAC7gLwAnIBbATuAnIBdAQ+APACbARyATwA8AJ1BHIBPgB1BPACdQR2BHIBdgQ8AHIBPgB3BHUE/wJ2BHUEdwT/AnUE/wJ4BHYEdwR5BP8CeQR4BP8CeAR6BHYEdgR6BDwAeQR0AXgEeATxAnoEdAHxAngEegR7BDwA8QJ7BHoEewR8BDwAdAF9BPEC8QK+AHsEfQS+APECvgB1AXsEewR1AXwEfQR+BL4A7AI8AHwE7AJsBDwAZgRsBOwCcAFmBOwCYwRmBHAB6wJjBHABfwRwAewC6wJwAX8EfwTsAnwECAB/BHwEdQEIAHwEgATrAn8EgAR/BAgAuwDrAoAEuwBiBOsCgQSABAgAggRiBLsAggRhBGIEDgO7AIAEDgOABIEEgwSCBLsAgwS7AA4DBgBhBIIEBgCCBIMEBgCEBGEEhATqAmEEhATyAuoChAQGAIUE8gKEBIUEiAEGAIMEhQQGAIgB8gKFBIcB8gKHAYYEhwGFBAoDPQDyAoYEhwEKA4cEhgSHAYcECgOFBIgEhQSIAYgEhwQKA4kECgOIBIkEhgSHBIoEPQCGBIsEiwSGBIoEigSHBGUAhwSJBGUAiwSKBPMCPQCLBPQC9AKLBPMC8wKKBPgCigRlAPgC8wL4AowEZQCJBI0E+AJlAI4EZQCNBI4EiQSJAY0EiQSIBIkBjQSJAQkDiASLAYkBiQGLAQkDiASIAYsB+AKOBI8EjAT4Ao8EjgSNBJAEjQQJA5AEjwSOBJEEjgSQBJEEkAQJA5IEkQSQBJIEkgQJAwgDkQSSBMMAwwCSBAgDjwSRBJMEkwSRBMMAlASPBJMEjASPBJQEkwTDAIYBlASTBIUBhQGTBIYBhgHDAJUEwwAIA5UEhQGGAZYElwSMBJQEmASUBIUBlwSUBJgEmASFAZkEmQSFAZYE9gKXBJgEmgSMBJcE9gKaBJcEmgTzAowE9ALzApoE9AKaBPYCaACYBJkE9gKYBGgAaACZBJsEggH2AmgAggFoAJsEnAT0AvYCnAT2AoIBxwD0ApwExwA9APQCPQDHAHAExwDvAnAExwCdBO8CxwCcBJ0E7wKdBHMEnAT1Ap0EnASCAfUCnQTGAHMEnQT1AsYAcwTGAIABcwSAAfwCcwT8AnQExgCeBIAB9QKfBMYAxgCfBJ4E9QKgBJ8EggGgBPUCdAT8Av0CdAT9Aj4AgAGhBPwC/AKhBP0CgAGeBKEE/QJ4AT4AeAF3BD4AoQSiBP0C/QKiBHgBngRnAKEEoQRnAKIEngT6AmcAnwT6Ap4EZwCjBKIEogSjBHgBnwSkBPoCoASkBJ8E+gKlBGcA+gKkBKUEZwB+AaMEpQR+AWcAfgGmBKMEpQT7An4BpAT7AqUE+wKmBH4BoAT3AqQEggH3AqAEpASBAfsC9wKBAaQEgQH+AvsC+wL+AqYE9wKnBIEBgQGnBP4CggHFAPcCxQCnBPcCggGbBMUApwSoBP4C/gLEAKYE/gKoBMQApwSpBKgExQALAKcECwCpBKcExQCbBKoExQCqBAsAmwT5AqoEmwSZBPkCmQSWBPkC+QKrBKoE+QKWBKsECwCqBIQBqgSrBIQBCwCsBKkECwCEAawEqQStBKgEqQSsBK0EqAStBMQAlgSuBKsElgSGAa4EhgGVBK4EqwSuBAcDqwQHA4QBrgSVBK8ErgSvBAcDlQSwBK8ElQQIA7AEBwOvBMEArwSwBMEAhAEHA7EEBwPBALEEhAGxBLIEhAGyBKwEsQTBALMEsgSxBLQEsQSzBLQErASyBMIAsgS0BLUEsgS1BMIArATCAK0EtQS0BIMBtASzBIMBwgC1BLYEtQSDAbYErQTCAH8BwgC2BH8BrQR/AX0BfwG2BLcEfwG3BH0BtgSDAbgEtgS4BLcEgwG5BLgEgwGzBLkEtwS4BLoErQR9AbsEfQG3BLwEuwR9AbwExACtBLsEtwS6BL0EtwS9BLwEuATAALoEuAS5BMAAugTAAL0ExAC7BAcApgTEAAcAuwS8BHwBBwC7BHwBpgQHAAADowSmBAADowQAA3gBBwC+BAADBwB8Ab4EAAO/BHgBAAO+BL8EeAG/BHcBeAF3AXcEdwF5BHcEdwHABHkEvwTABHcBwAR0AXkEvgTBBL8EvwTBBMAEwATCBHQBwQTCBMAEwgR9BHQBvgTDBMEEwgTEBH0EvgQCA8MEwQTFBMIEwwTFBMEExQTEBMIExAR+BH0EfAECA74EwwR6AcUEAgN6AcMExQQBA8QEegEBA8UExATGBH4EAQPGBMQEegHHBAEDAgPHBHoBAQN2AcYExwR2AQEDxgTIBH4EfgTIBMkEfgTJBL4AvgDJBHUByAQSA8kEyQQSA3UBxgQTA8gEdgETA8YEEwMSA8gEEgPKBHUBdQHKBAgAgQQIAMoEEgNiAMoEywSBBMoEywTKBGIAEwMRAxIDEQNiABIDzAQRAxMDdgHMBBMDzATNBBEDzQRiABEDZADMBHYBxwRkAHYBzgTNBMwEZADOBMwEzwRkAMcEAgPPBMcEAwPOBGQAzwQDA2QAzgTQBM0EAwPQBM4E0QTPBAIDfAHRBAIDvATRBHwB0QR7Ac8EvAR7AdEEewEDA88EvAS9BHsBewEEAwMDvQQEA3sBBAPQBAMDvQTSBAQDwADSBL0EBAMJANAE0gQJAAQDwADTBNIEuQTTBMAA0gTUBAkAuQQFA9ME0wS/ANIEvwDUBNIEBQO/ANMEswQFA7kEvwDVBNQEswQGAwUDwQAGA7MEBQPWBL8ABgPWBAUD1gTVBL8AwQDXBAYDBgPXBNYEsATXBMEA1QTYBNQE1ATYBAkA1gSNAdUE1wSNAdYEsAQKANcE1wQKAI0BCAMKALAEjQHZBNUE1QTZBNgECgDaBI0BjQHaBNkECAPbBAoACgDbBNoECQPbBAgDCQOLAdsE2wQLA9oE2wSLAQsD2gSMAdkE2gQLA4wB2QSMAWMA2QRjAA8D2QQPA9gEjAHcBGMAYwDdBA8DYwDcBN0E2AQPAxADDwPdBBAD2AQQA3kB2AR5AQkA0AQJAHkB0AR5Ac0EzQR5AWIAEANiAHkBEAPeBGIA3QTeBBAD3gTLBGIA3QTfBN4E3wTLBN4E3QTgBN8E3ATgBN0E3wRzAcsEcwGBBMsE4AS9AN8EvQBzAd8E4QSBBHMBvQDhBHMB4QQOA4EEDQO9AOAE3AQNA+AE4gThBL0ADQPiBL0AigEOA+EE4gSKAeEEigGDBA4D4wQNA9wE4wTiBA0DjAHjBNwECwPjBIwBDAODBIoBDAOKAeIEiAGDBAwDiwGIAQwDCwPkBOMEiwHkBAsD5ATiBOMEiwEMA+QE5AQMA+IE5QTmBOcEFgPlBOcE5QToBOYEFAPoBOUE5wTmBMoA6ATpBOYE5wTKABUDFgPnBBUD5gTqBMoA5gTpBOoE6ATrBOkEFAPrBOgE6QQxA+oE6wSRAekE6QSRATED6wQvA5EB6gQxA+wEygDqBJAB6gTsBJABygCQAe0EFQPKAO0EkAHsBG8A7QSQAe4EkAFvAO4E7ATvBG8AMQMyA+wE7AQyA+8EMQPwBDIDkQHwBDEDkQEwA/AELwMwA5EB8ATxBDIDMgOtAe8EMgPxBK0B8ATyBPEEMAPyBPAE8QQ0A60B8gR1APEE8QR1ADQD8gTzBHUAMAPXAPIE1wDzBPIELgPXADADLwMuAzAD1wD0BPMELgP1BNcA9QT0BNcAPwD1BC4DaQAuAy8DaQA/AC4D9gRpAC8D9gQvA+sEFAP2BOsE9QT3BPQEPwD4BPUE+AT3BPUE+AR0APcE9wQtA/QEdAAtA/cE9gQUA/kE+AQ/APoEaQD2BPsE9gT5BPsEPwBpAKkBaQD7BKkBPwCpAfoE+AT6BKoBdAD4BKoB+gSpASwDqQH7BPwEqQH8BCwD+wSoAfwE+wT5BKgBqgH6BCsD+gQsAysDdACqAf0EqgErA/4E/QSqAf4EKwMsA/8EdAD9BAAF/gQrAwEFKwP/BAEF/QT+BAIFAAX9BAIF/gQBBQMFAgX+BAMFLANBAP8ELAP8BEEAAgUDBSoDAAUCBSoDAwUBBQQF/AQFBUEA/ASoAQUFKgMDBc8AAwUEBc8AAQUGBQQFAQX/BAYF/wRBAAcF/wQHBQYFQQAIBQcFQQAFBQgFBgUHBQkFBAUGBQoFBgUJBQoFBwULBQkFBwUIBQsFBAUKBQwFzwAEBQwFCgUJBaYBCQULBQ0FCQUNBaYBCgWmAQ4FDAUKBQ4FpgENBSADzwAMBQ8FDgWmARAFpgEgAxAFDAUOBW0ADwUMBW0ADgUQBaIBbQAOBaIBJAPPAA8FKgPPACQDDwVtACMDcAAqAyQDJAMPBREFcAAkAxEFEQUPBSMDAAUqA3AAbQCiARIFIwNtABIFEgWiARMFEQUjAxQFIwMSBRUFFAUjAxUFJQMRBRQFcAARBSUDFAUVBRYFJQMUBRYFFQUSBRcFEgUTBRcFFgUVBaMBFQUXBaMBJQMWBREAEQAWBaMBJQMRACcDogEhAxMFogEQBSEDEAUYBSEDEAUgAxgFEQCkAScDIAMQABgFEQCjARkFEQAZBaQBowEmAxkFowEaBSYDowEXBRoFGQUmAxsFFwVuABoFFwUTBW4AJgMaBRwFJgMcBRsFGgVuAJ4BGgWeARwFEwUoA24AEwUhAygDbgBAA54BbgAoA0ADIQMdBSgDIQMYBR0FKAPNAEADKAMdBc0AGAUeBR0FGAUQAB4FHQUfBc0AHQUeBR8FHgUiAx8FEAAiAx4FzQAfBSAFQAPNACEFzQAgBSEFHwUiBSAFHwUiAyIFQAMhBSMFngFAAyMFIQUgBcwAngEjBUIDHAWeAUIDIwUhBSQFIQXMACQFQgMjBUEDIwUkBUEDHAVCAyUFGwUcBSUFQgNBAyYFJQVCAyYFQQMkBZsBGwUlBdEAJgVBAycFQQObAScFJQUmBZ8B0QAlBZ8BJgUnBUIAnwEmBUIAKAUbBdEAGQUbBSgFpAEZBSgFKAXRAKEBpAEoBaEB0QCfASkFoQHRACkFnwFCACoFKQWfASoFoQEpBUQDpAGhASsFKwWhAUQDRAMpBSwFKQUqBSwFKwVEA0UDLQWkASsFJwOkAS0FLQUrBS4FLgUrBUUDLwUnAy0FJQMnAy8FpQEtBS4FLwUtBaUBJQMvBTAFMAUvBaUBcAAlAzAFpQEuBTEFMAWlATIFMgWlATEFKQMwBTIFcAAwBSkDcAApAzMFAAVwADMFKQMyBdAAMwUpA9AAMgUxBTQF0AAyBTQFMQUuBUYDLgVFA0YDNAUxBVQDMQVGA1QD0AA0BTUFMwXQADYFNgXQADUFNwUzBTYFAAUzBTcFNAVUAzgFNQU0BTgFAAU3BTkFdAAABTkFdAA5BS0DOQU3BasBNwU2BasBLQM5BToFOQWrAToFqwE2BVMDNgU1BVMDOgWrATsFqwFTAzsFLQM6BdYAOgU7BdYALQPWADwF9AQtAzwF9AQ8BfMEUwM1BT0FNQU4BT0FOwVTAz4FUwM9BT4F8wQ8BT8F8wQ/BXUAPAVRAz8FPAXWAFED1gA7BVIDOwU+BVID1gBSA1EDdQA/BUAFdQBABTQDPwVRA0EFPwVBBUAFUQNSA0IFUQNCBUEFUgNzAEIFUgM+BXMANANABawBQAVBBUMFQAVDBawBQQVCBVADQQVQA0MFQgVzAEQFQgVEBVADPgVFBXMAPgU9BUUFcwBGBUQFcwBFBUYFPQVHBUUFPQU4BUcFRQVIBUYFRQVHBUgFRAVGBa4BOAVPA0cFOAVUA08DRwVJBUgFRwVPA0kFRgVIBUoFRgVKBa4BSAVJBUsFSAVLBUoFVAPSAE8DVANGA9IATwNMBUkFTwPSAEwFSQVNBUsFSQVMBU0FSgVLBa8BSwVNBa8BTAUNAE0FTQUNAK8B0gBOBUwFTAVOBQ0ARgNIA9IA0gBIA04FRgNFA0gDRQNPBUgDRQNEA08FRAMsBU8FSANPBVAFSANQBU4FTwUsBaABTwWgAVAFLAVRBaABLAUqBVEFTgVQBUkDTgVJAw0AUAWgAVIFUAVSBUkDoAFRBUcDoAFHA1IFKgVDA1EFKgVCAEMDSQNSBdMADQBJA9MAUgVHA1MFUgVTBdMAUQWdAUcDUQVDA50BRwNUBVMFRwOdAVQFDQDTAFUFDQBVBa8B0wBTBVYF0wCxAVUF0wBWBbEBUwWcAVYFUwVUBZwBsQFWBUsDVQWxAVcFsQFLA1cFVQVXBVgFrwFVBVgFVgWcAUoDVgVKA0sDWAVXBVkFrwFYBUwDWAVZBUwDVwVaBVkFVwVLA1oFSwNKA1sFSwNbBVoFrwFMA9UASgWvAdUArgFKBdUASgOYAVsFWgVbBVwFSgNdBZgBnAFdBUoDWwWYAV4FWwVeBVwFnAFfBV0FVAVfBZwBWgVcBWAFWQVaBWAFVAVhBV8FnQFhBVQFWQVgBdQATANZBdQAnQFiBWEFQwNiBZ0BTAPUAE0D1QBMA00DQwNjBWIFQgBjBUMDQgAnBWMFJwVkBWMFJwWbAWQFYwVlBWIFYwVkBWUFYgVlBZoBYgWaAWEFZAVmBWUFZQVmBZoBmwFnBWQFZAVnBWYFmwE/A2cFJAU/A5sBJAXMAD8DPwOZAWcFZwWZAWYFzABoBT8DPwNoBZkBzABpBWgFIAVpBcwAIAUiBWkFZgWZAQ8AZgUPAJoBaAVqBZkBaQVrBWgFaAVrBWoFIgU+A2kFaQU+A2sFIgXLAD4DIgPLACIFmQFqBWwFmQFsBQ8AawU8A2oFagVtBWwFagU8A20FbAU7Aw8AbAVtBTsDPANuBW0FbQVuBTsDawVvBTwDPgNvBWsFPANwBW4FbwVwBTwDPgM9A28FywA9Az4DbwVsAHAFPQNsAG8FcAWWAW4FbABxBXAFcAVxBZYBbgWWAckAbgXJADsDcQVyBZYBlgFyBckAbABzBXEFPQN0BWwAdAVzBWwAdQV0BT0DywB1BT0DcQV2BXIFcwV2BXEFdwV1BcsAIgN3BcsAdQUdA3QFIgN4BXcFdwWVAXUFlQEdA3UFeAWVAXcFEAB4BSIDdAV5BXMFHQN5BXQFeQV6BXMFcwV6BXYFHQN7BXkFeQV8BXoFewV8BXkFfQV7BR0DlQF9BR0DewV+BXwFfwV9BZUBeAV/BZUBfQWABXsFgAV+BXsFfwWBBX0FgQWABX0FggV/BXgFggWBBX8FEACCBXgFgQUcA4AFgAWDBX4FHAODBYAFzgAcA4EFggXOAIEFHAOEBYMFzgCEBRwDhQWCBRAAIAOFBRAADQWFBSADDQWGBYUFhgWCBYUFCwWGBQ0FHwOCBYYFCwUfA4YFHwPOAIIFCAUfAwsFCAWnAR8DpwHOAB8DBQWnAQgFBQWHBacBhwXOAKcBqAGHBQUFhwUeA84AzgAeA4QFqAGIBYcFiAUeA4cF+QSIBagB+QSJBYgFiQUeA4gFFAOJBfkEFAMMAIkFiQUMAB4DDAAUA+UEDADlBBYDHgMMABoDDAAWAxoDHgMaA4oFHgOKBYQFGgMWA4sFigUaA4sFhAWKBWsAigWLBWsAhAVrAIMFiwUWA4wFFgMVA4wFawCLBY0FiwWMBY0FgwVrAI4FawCNBY4FgwWOBX4FjAUVAxcDFQPtBBcDjQWMBWoAjAUXA2oAjgWNBRkDjQVqABkDfgWOBRsDjgUZAxsDfgUbA3wFFwPtBI8F7QTuBI8FagAXA5AFFwOPBZAFfAUbA0AAfAVAAHoFGwORBUAAGwMZA5EFGQNqAI4BagCQBY4BGQOOAZEFegVAAJIFegWSBXYFQACRBZMFQACTBZIFkQWOAZQFkQWUBZMFjgGVBZQFjgGQBZUFdgWSBZYFdgWWBXIFkgWTBZcFkgWXBZYFkwWUBQ4AkwUOAJcFcgWWBZIBlgWXBZIBlwUOAJIBcgWSAckAlAWVBRgDlAUYAw4AkAWPAZUFkAWPBY8BlQWYBRgDlQWPAZgFGAOZBQ4AGAOYBZkFjwWaBY8BjwXuBJoFjwE3A5gFjwGaBTcDmAXIAJkFmAU3A8gA7gQzA5oF7gRvADMDmgU2AzcDmgUzAzYDNwOUAcgANwM2A5QBbwCbBTMDbwDvBJsFMwOcBTYDMwObBZwFNgOdBZQBNgOcBZ0F7wSeBZsF7wStAZ4FmwWfBZwFmwWeBZ8FnAU1A50FnAWfBTUDrQGgBZ4FrQE0A6AFngWhBZ8FngWgBaEFnwWhBTUDNAOsAaAFoAWsAaEFoQWsAUMAoQVDADUDrAGiBUMArAFDBaIFQwWjBaIFQwVQA6MFogVOA0MAogWjBU4DQwCkBTUDTgOkBUMAUAOlBaMFowWlBU4DUANEBaUFRAWuAaUFpQWuAdUApQXVAE4DpAWmBTUDpgWdBTUDTgOnBaQFpwWmBaQF1QCoBU4DTgOoBacF1QBNA6gFpwWwAaYFqAWwAacFpgWpBZ0FsAGpBaYFqQWUAZ0FTQOqBagFqAWqBbABTQPUAKoFsAFyAKkFqgVyALABqQU4A5QBcgA4A6kFOAPIAJQB1ACrBaoFqgWrBXIA1ABgBasFcgCsBTgDqwWsBXIAOAOtBcgArAWtBTgDrQWZBcgAYAWuBasFqwWuBawFYAVcBa4FrAU5A60FrgU5A6wFrQWTAZkFOQOTAa0FkwEOAJkFXAWvBa4FrgWvBTkDXAVeBa8FOQOwBZMBrwWwBTkDkwGxBQ4AsAWxBZMBsQWSAQ4ArwWyBbAFXgWyBa8FsAWzBbEFswWSAbEFsgWzBbAFOgOSAbMFsgU6A7MFOgPJAJIBXgW0BbIFtAU6A7IFmAG0BV4FlwHJADoDtAWXAToDmAG1BbQFtQWXAbQFXQW1BZgBtgXJAJcBtQW2BZcBtgU7A8kAXQVxALUFcQC2BbUFXwVxAF0FtwU7A7YFcQC3BbYFXwW4BXEAuAW3BXEAYQW4BV8FYQWaAbgFuAW5BbcFuQU7A7cFmgG5BbgFuQUPADsDmgEPALkFugVVA9gAVQO7BdgAugXYALwFvQVVA7oFvAXYALIB2AC+BbIB2AC7Bb4FVQNXA7sFsgG+Bb8FvQVWA1UDVgNXA1UDVgO9BcgBuwVYA74FvgVYA7MBvgWzAb8FuwXABVgDVwPABbsFWAPBBbMBWAPABcEFvwWzAcIFwQVaA7MBswFaA8IFwAXZAMEFwQXZAFoDVwPMAcAFwAXMAdkAVwPDBcwBzAHEBdkAzAHDBcQF2QDEBbUB2QC1AVoDegDDBVcDVgN6AFcDegBEAMMFegBWA8UFwwVZA8QFRABZA8MFxAXGBbUBxAVZA8YFtQHGBccFtQHHBVoDxgXIBccFWgPHBeIAxwXIBeIAWQPJBcYFxgXJBcgFWQPKBckFRADKBVkDWgPiAFsDwgVaA1sDyAVcA+IAwgVbA0UA4gDLBVsDXAPLBeIAywXMBVsDzAVFAFsDXAPNBcsFtgHMBcsFzQW2AcsFRgDNBVwDtgHOBcwFzQV7A7YBewPOBbYBfQN7A80FRgB9A80FzgXPBcwFzAXPBUUAewPQBc4FfQO5AXsDuQHQBXsD0QW5AX0DRgDRBX0DzgXSBc8F0AXSBc4F0gXTBc8FzwXTBUUA0AXjANIF0gW3AdMF4wC3AdIFfAPjANAFuQF8A9AF4wDUBbcB1QV8A7kB0QXVBbkBfAPWBeMA1gXUBeMA1QXXBXwD1wXWBXwD2AXVBdEF2QXXBdUF2AXZBdUF2QXaBdcFfgPaBdkF2AV+A9kF2gXbBdcF1wXbBdYF2gXcBdsFfgPcBdoF2wV4A9YF1gV4A9QF3AXdBdsF2wXdBXgDfgPeBdwF3AXfBd0F3gXfBdwF4AXeBX4D3gW6Ad8F4AW6Ad4F3wV2AN0F3QXhBXgD3QV2AOEF3wXiBXYAugHiBd8FeAPhBeMFeAPjBdQFdgC4AeEF4QV3A+MF4QW4AXcD1AXjBeQF4wV3A+QF1AXkBbcBtwHkBXkD5AV3A3kDtwF5A9MFdgDlBbgB4gXlBXYAuAHBAXcD5QXBAbgBdwPmBXkDdwPBAeYF0wV5A+cF0wXnBUUAeQPmBRUAeQMVAOcF6AXmBcEBegNFAOcFegPCBUUAvwXCBXoD6QV6A+cFFQDpBecFtAG/BXoD6QW0AXoDsgG/BbQBvAWyAbQBvAW0AekFcQPpBRUAcQO8BekFcwMVAOYF6AVzA+YF6gVxAxUA6gUVAHMD2gC8BXED6wVxA+oF6wXaAHEDxQHqBXMDxQHrBeoF7AW8BdoA7AW6BbwF7QXaAOsF7QXsBdoAEgC6BewFEgDsBe0FEgC9BboFbwPrBcUBbwPtBesFvQUSAO4F7wVvA8UBvQXuBcgBaQMSAO0F7gUSAGkD8AXtBW8DaQPtBfAF8AVvA+8FfABpA/AF7gVpA/EF8QVpA3wA8gXuBfEFyAHuBfIF8gXxBWgDyAHyBfMF8wXyBWgDaAPxBcYB8QV8AMYBxQXIAfMFVgPIAcUF8wVoA/QFaAPGAfUF9AVoA/UFxgF8AG0D9QXGAW0DxQXzBfYF9gXzBfQF9wXFBfYFegDFBfcFRAB6APcF9wX2BcsB9gX0BfgFywH2BfgF9AX1BdwA+AX0BdwA3AD1BfkF9QVtA/kF+AXcAPoFywH4BfsF+wX4BfoF/AXLAfsF9wXLAfwF3AD5Bf0F+gXcAP0F/QX5Bf4F+QVtA/4F/wX3BfwFRAD3Bf8F/wX8BQAG/AX7BQAGRAD/BQEG/gVtA2sDRAABBsoFAAb7BWUD+wX6BWUD/wUABgIGAQb/BQIGAAZlAwMGAgYABgMGZQP6BQQG+gX9BQQGAwZlA3sAZQMEBnsABAb9BWcD/QX+BWcDZwP+BWsDBAZnAwUGewAEBgUGBQZnAwYGZwNrAwYGewAFBgcGBQYGBt0ABwYFBt0AZgN7AAcGAwZ7AGYDZAMDBmYDAgYDBmQD4AACBmQDAQYCBuAAZANmAwgG4ABkAwgGZgMHBscBCAZmA8cBxwEHBgkGBwbdAAkGCAbHAQoGxwEJBgoG4AAIBmMDYwMIBgoGAQbgAMoBAQbKAcoF4ABjA2ID4ABiA8oBYwMLBmIDYwMKBhMAYwMTAAsGEwAKBmoDCgYJBmoDygFiAwwGCQbdAA0GCQYNBmoD3QAGBg0GBgYOBg0GBgZrAw4GagMNBmwDDQYOBmwDawMWAA4GDgYPBmwDDgYWAA8GawMQBhYAbQMQBmsDbQN8ABAGEAZ8AG4DfADwBW4DbgPwBe8FEAZuAxEGFgAQBhEGbgPvBRIGEQZuAxIGEgbvBXcAdwDvBRMG7wXFARMGEwbFAXMDEwZzA8QBdwATBsQBxAFzA+gFEgZ3ABQGFAZ3AMQBEQYSBtsA2wASBhQGEQbbABUGFgARBhUG2wAUBhYGFQbbABYGFAbEARcGFgYUBhcGFwbEAegFFgAVBnADDwYWAHADFQYWBsMBcAMVBsMBFgYXBnIDwwEWBnIDFwboBRgGcgMXBhgGGAboBcEBwwFyAxkGGQZyAxgGcAPDARoGGgbDARkGGAbBAXQDGQYYBnQD5QV0A8EBGwZ0A+UF4gUbBuUFugEbBuIFGwYXAHQDGQZ0AxcAHAYbBroBHAYXABsG4AUcBroBHQYZBhcAGgYZBh0GdQMXABwGdQMdBhcAwgEaBh0GwgEdBnUDHgYaBsIBHgZwAxoGDwZwAx4GHwYeBsIBHwbCAXUD3gAPBh4G3gAeBh8GbAMPBt4AIAbeAB8GbAPeACAGdgMfBnUDIAYfBnYD3wB1AxwG3wAcBuAFIQZ1A98AdgN1AyEGIgYhBt8AIgZ2AyEGIwbfAOAFIgbfACMGvwEgBnYDJAZ2AyIGJAa/AXYDJQYgBr8BJQa/ASQGbAMgBiUGIwbgBb0BvQHgBX4DvQF+A9gFJgZsAyUGagNsAyYGJgYlBsABwAElBiQGagMmBicGJwYmBsABEwBqAycGwAEkBngAeAAkBiIGJwbAAWEDYQPAAXgAEwAnBigGKAYnBmEDEwAoBgsGeAAiBr4BYQN4AL4BvgEiBiMGKAZhAykGCwYoBikGYQO+ASoGKga+ASMGKgYjBr0BYANhAyoGKQZhA2ADFAAqBr0BYAMqBhQAFAC9AdgF4QApBmADCwYpBuEAKwZgAxQA4QBgAysGFADYBSwGLAbYBdEFLAbRBUYAXgMUACwGKwYUAF4DLQYsBkYALQZeAywGXwMrBl4DXwPhACsGyQELBuEAyQHhAF8DYgMLBskBYgPJAQwGDAbJAV8DLgZfA14DDAZfAy4GLgZeA7wBvAFeAy0GXQMMBi4GXQMuBrwBLwYMBl0DygEMBi8GygXKAS8GLwZdAzAGMAZdA7wBygUvBnkALwYwBnkAygV5AMkFMAa8ATEGeQAwBjEGMQa8AS0GyQV5ALsBeQAxBrsByQW7AcgFMQYtBjIGuwExBjIGyAW7ATIGMgYtBkYAyAUyBlwDMgZGAFwDMwZ/A30AfwM0Bn0AMwZ9ADUGNgZ/AzMGNQZ9AIADfQA3BoADfQA0BjcGNAaBAzcGgAM3BjgGNwaBA+QANwbkADgGNAY5BoEDgQM5BuQAggM5BjQGfwOCAzQGOQY6BuQAgwOCA38DNgaDA38DggPOATkGOQbOAToGgwN+AIIDggM7Bs4BfgA7BoIDzgE8BjoGzgE7BjwGfgBHADsGOwaEAzwGRwCEAzsGOgY8Bs8BPAaEAz0GPAY9Bs8BOgbPAZ4D5AA6Bp4DzwE9Bj4GzwE+Bp4D5ACeAz8GOAbkAD8GPwaeA6UDOAY/BqUDPQZABj4GngM+BkkAPgZABkkApQOeA6QDngNJAKQDpQOkA+4AOAalA0EGQQalA+4AzQE4BkEGgAM4Bs0BNQaAA80BQgbNAUEGNQbNAUIGQgZBBkMGQQbuAEMGpgM1BkIGGABCBkMGpgNCBhgARAZDBu4A5QA1BqYDRQY1BuUARQYzBjUGRgblAKYDRwZFBuUARwblAEYGGQAzBkUGGQBFBkcGGQA2BjMGRgamA0gGSAamAxgAjgNHBkYGhQBGBkgGjgNGBoUASAYYAKcDhQBIBqcDSQaOA4UASgZHBo4DSgaOA0kGigNHBkoGigMZAEcGjQOKA0oGSwYZAIoDNgYZAEsGSwaKA0wGTAaKA40DNgZLBtABgwM2BtABTQZLBkwG0AFLBk0GgwPQAU4GfgCDA04G0AFNBk8GTgbQAU8GfgBOBlAGTwZNBtIBTQZMBtIBTgZPBlEGUAZOBlEGTwbSAVIGUQZPBlIG0gFMBosDTAaNA4sDUgbSAVMG0gGLA1MGiwONA1QGUwaLA1QGUQZSBlUGUgZTBkgAVQZSBkgASABTBlYGUwZUBlYG0QFRBlUGUAZRBtEBVQZIAFcGSABWBlgGVwZIAFgGVgZUBlkGWAZWBlkGWQZUBloGWAZZBowDjANZBloGVwZYBlsGWwZYBowDXAZVBlcG0QFVBlwGiANXBlsGXAZXBogDXQbRAVwGUAbRAV0GXgZcBogDXQZcBl4GXwZQBl0GXwZdBl4GRwBQBl8GRwB+AFAGXwZeBmAGRwBfBmEGYQZfBmAGRwBhBmIGRwBiBoQDYQZgBn8AYAZeBmMGXgaIA2MGYAZjBoUDfwBgBoUDYwaIA+gAiANbBugAhQNjBokDYwboAIkDhQOJA2QGfwCFA2QG6ABbBmUGWwaMA2UGiQPoAGYG6ABlBmYGZAaJA+MBiQNmBuMBZQaMA2cGZgZlBoAAZQZnBoAAjANaBmcGZgaAAGgG4wFmBmgGgABnBmkGaAaAAGkGZwZaBmoGZwZqBmkG4wFoBmsGZAbjAWsGaAZpBpADawZoBpADhwNkBmsGfwBkBocDHQBrBpADhwNrBh0AkANpBuIBhwMdAGwGHQCQA20GkAPiAW0GHQBtBm4GHQBuBmwGfwCHA4YDhwNsBoYDfwCGA+UBYQZ/AOUBYQblAWIG5QGGA28GhgNsBuQBhgPkAW8GYgblAXAG5QFvBnAGYgZwBnEG5AFsBuwAbwbkAZYD5AHsAJYDbAZyBuwAbAZuBnIGbgaVA3IGbgZtBpUD7AByBpcDcgaVA5cDlgPsAHMG7ACXA3MGlgNzBpgDcwaXAxoAcwYaAJgDbwaWA3QGdAaWA5gD6gBvBnQGcAZvBuoAdAaYA94B6gB0Bt4BcAbqAHUGdQbqAN4BcAZ1BnEGdQbeAXYGcQZ1BnYG3gGYA3cGdgbeAXcGdwaYA3gGmAMaAHgGdgZ3BnkGcQZ2BusA6wB2BnkGeQZ3BoEAdwZ4BoEAQAbrAHkG3wFxBusA3wHrAEAGYgZxBt8BhANiBt8BhAPfAT0GPQbfAUAGQAZ5BpwDeQaBAJwDQAacA0kAnAN6BkkASQB6BqQDgQB7BpwDnAN7BnoGgQCaA3sGegZ8BqQDfAbuAKQDewbcAXoG3AF8BnoGmgOhA3sGewahA9wBgQB9BpoDeAZ9BoEAfAZ+Bu4AeAZ/Bn0G3AGABnwGgAZ+BnwGoQOABtwBfgZEBu4AGgB/BngGgAaBBn4GgQZEBn4GoQPtAIAG7QCBBoAGggbtAKEDmgOCBqEDfQaCBpoDfQaDBoIGfwaDBn0GggagA+0AgwagA4IG7QCEBoEGoAOEBu0AhAbZAYEGgQbZAUQGoAOFBoQG2QGjA0QGRAajA0MGowMYAEMGhAaGBtkBhQaGBoQG2QGHBqMDhgaHBtkBowOIBhgAhwaiA6MDogOIBqMDpwMYAIgGhgaJBocGiQaiA4cG2gGJBoYGhQbaAYYGigaiA4kG2gGKBokGogPWAYgGigbYAaID2AHWAaIDgwDYAYoGiwaKBtoBiwaDAIoGjAbaAYUGjAaLBtoBjQaMBoUGjQaFBqADgwaNBqADgwCOBtgBjgbWAdgBjwaNBoMGfwaPBoMGkAaMBo0GjwaQBo0GfwaZA48GmQOQBo8GkAaRBowGmQORBpAGkQaLBowG3QGZA38GGgDdAX8GmQOSBpEGkQaTBosGkgaTBpEGkwaDAIsGmwOSBpkD3QGbA5kDkgbbAZMGmwPbAZIGkwaUBoMA2wGUBpMGlAaOBoMA2wGVBpQGlAaVBo4GmwOdA9sBnQOVBtsBlQafA44GjgafA9YBnQMbAJUGlQYbAJ8DlgadA5sDlwYbAJ0DlgaXBp0DmAafAxsAmQaWBpsDmQabA90BlwaaBhsAmgaYBhsAmwaZBt0BGgCbBt0BlwObBhoAlwOVA5sGmwbgAZkGlQPgAZsG4AGCAJkGggCWBpkGlQPpAOABggCTA5YGkwOXBpYG4AGcBoIA6QCcBuABnAaTA4IAlQOUA+kAbQaUA5UDbQbiAZQDlAOdBukA6QCdBpwG4gHhAZQDlAPhAZ0GnQaeBpwGngaTA5wG4QGeBp0GngaSA5MD4QGSA54G4gGfBuEBaQafBuIBaQZqBp8GnwbnAOEB4QHnAJIDagagBp8GnwagBucAagYcAKAGWgYcAGoGkgPnAKEGkgOhBpMD5wCgBpED5wCRA6EGoQbXAZMDoQaRA9cBkwPXAZcG1wGaBpcG1wGiBpoGkQOiBtcBogaYBpoGoAaPA5EDkQOPA6IGoAYcAI8DogaEAJgGjwOEAKIGHACjBo8DjwOjBoQAHACkBqMGHADTAaQGWgbTARwAVAbTAVoGVAaNA9MB0wGNA6UG0wGlBqQGjQNKBqUGpQZKBkkGpAalBuYApQZJBuYApAbmAKMGowbmAKYGowamBoQA5gBJBqgDhACmBtUBhADVAZgG5gCnBqYG5gCoA6cGpgaoBtUBpganBqgGmAbVAakG1QGoBqkGmAapBp8DqQbWAZ8DqQaqBtYBqAaqBqkGqgaIBtYBqganA4gGqAbUAaoG1AGnA6oGpwbUAagGpwaoA9QBqwanA9QBqAOrBtQBqwaFAKcDqANJBqsGSQaFAKsGrAapA/AAqQPmAfAArAbwAKwDrQapA6wGrAPwAK4G8ACrA64G8ADmAasDrgarA/EA5gGvBqsDqwOvBvEArgbxAO4BrAOuBu4B8QCvBsgD7gHxALAG8QDIA7AG7gGwBscD5gGuA68GrAPuAbEGsQbuAccDsAayBscDsAbIA7IGrwatA8gDrwauA60DswauA+YBqQOzBuYBxwOyBoYAqgOzBqkDsQbHA7QGxwOGALQGrQaqA6kDIACxBrQGqgOtBucBqgPzALMGswa1Bq4D8wC1BrMGrgO1BrYGrgO2Bq0D8wBKALUGtQboAbYGSgDoAbUGrQO2BvIArQPyAMgDtga3BvIAtgboAbcGyAPyALgGyAO4BrIG8gC3BrkG8gC5BrgGtwa6BrkGsga4BskDuAa5Bv8AuAb/AMkDuQa6Bv8AsgbJA4YA6AHKA7cGtwbKA7oG6AG7BsoD6AG8BrsGSgC8BugBuwa9BsoDvAb5ALsGuwb5AL0GygP6ALoGygO9BvoAugb6AL4GvQa/BvoA+gC/Br4GvQbABr8G+QDABr0Guga+BssDugbLA/8AvgZLAMsDvwbBBr4GvgbBBksAwAb0Ab8Gvwb0AcEG+QDNA8AGwAbNA/QB+QDCBs0DzQPDBvQBzQPCBsMG9AHPA8EGwwbPA/QBwQbPA8QGwQbEBksAwwb1Ac8Dwgb1AcMGzwMhAMQGxQbCBvkAvAbFBvkA9QHGBs8DxgYhAM8DwgbOA/UB9QH7AMYGzgP7APUBxwbOA8IGxQbHBsIGzgPIBvsAxwbIBs4D+wDQA8YGxgbQAyEA+wDJBtADyAbJBvsAiwDHBsUGswPIBscGiwCzA8cGyAbKBskGyQbBA9ADygbBA8kGHwDKBsgGswMfAMgGHwDLBsoGygbLBsEDswPMBh8AHwC+A8sGHwDMBr4DswPNBswGiwDNBrMDzQb2AcwGzAbOBr4D9gHOBswGzgbPBr4DvgP3AcsGvgPPBvcBywb3Ab8Dywa/A8ED9wH5Ab8D9gHQBs4GzwbRBvcB9wHRBvkBzgb3AM8G0Ab3AM4GtQPQBvYBzQa1A/YB0AbSBvcAsgO1A80GiwCyA80GtQP2ANAG9gDSBtAGsgPTBrUD0wb2ALUDiwDUBrID1AbTBrIDsQPUBosAsQOLAMUGsQPFBrwGSgCxA7wGsQPVBtQGSgDVBrED1AbWBtMG1QbWBtQGSgCwA9UG1ga0A9MG0wa0A/YASgDzALAD1QbXBtYG1QawA9cG1gbYBrQD1wbYBtYGtAPZBvYAsAPaBtcG1wbaBtgG9gDZBtIGtAPbBtkG2AbbBrQD2gaKANgG2AaKANsGsAPcBtoG2gbcBooAsAPdBtwG8wDdBrAD8wCqA90GqgPnAd0G3QbeBtwG3QbnAd4G3AbfBooA3AbeBt8GigDfBvQAigD0ANsG3ga2A98G5wHgBt4G3gbgBrYD5wHhBuAGrQbhBucB4AbiBrYD4AbhBuIG3wa2A+MG3wbjBvQAtgPiBukBtgPpAeMGrQYeAOEGHgCtBqwG4Qa3A+IG4QYeALcD4gb1AOkB4ga3A/UA4wbpAboD6QH1ALoDHgCsBuQG5AasBqwDtwMeAOUGHgDkBuUG5AasA+8A5QbkBu8A7wCsA68DrwOsA7EG5QbvAOYG5gbvAK8DtwPlBuoB9QC3A+oBrwOxBiAAuQPlBuYG6gHlBrkD5gavA+cG5wavAyAAuQPmBuwB7AHmBucG6gG5A+gG6Aa5A+wB5wYgAMQD7AHnBsQD9QDqAekG6QbqAegG6AbsAeoG6gbsAcQD6QboBusGhwDoBuoG6wboBocA6gbEA+0BhwDqBu0B9QDpBusB6wHpBusG6waHAOwG7AaHAO0BvAPrAesG7Qb1AOsB7QbrAbwDugP1AO0G6wbsBu4GvAPrBu4G7AbtAe8G7gbsBu8G7wbtAfAG7QHEA/AG7gbvBsIDvAPuBvgA+ADuBsIDwgPvBvEG7wbwBvEG+ADCA/IG8gbCA/EGvQO8A/gA8AbEA/MGxAMgAPMG8QbwBu8B8AbzBu8BxgPzBiAAxgMgALQGxQPvAfMGxQPzBsYD8QbvAcMD8gbxBsMD9AbGA7QG9Aa0BoYA8QHGA/QG9QbDA+8B8QH2BsYD9gbFA8YD8AHvAcUD9QbvAfAB9wbFA/YG+Ab2BvEB+Ab3BvYG+QbwAcUD+QbFA/cGiAD1BvABiADwAfkG8gH3BvgG8gH5BvcG+gaIAPkG+gb5BvIB+wb1BogA/AaIAPoG/Ab7BogA+wb9BvUG/QbDA/UG/AH7BvwG/AH9BvsG/QYiAMMD8gbDAyIA/gb9BvwB/gYiAP0G/wb8AfwGiQD+BvwBiQD8Af8G/wb8BgAHAAf8BvoG0wP/BgAHiQD/BtMDAAf6Bv4B/gH6BvIBAQcAB/4B0wMABwEH/gHyAQIHAgfyAfgGAQf+AQMHAwf+AQIH0wMBBwQHBAcBBwMHBQfTAwQHAgf4BgYHBgf4BvEBAwcCB9QD1AMCBwYHBAcDBwcHBwcDB9QDBQcEBwcHBgfxAQgHCAfxAfQG1AMGB/4A/gAGBwgHBwfUAwkHCQfUA/4ACgcHBwkHBQcHBwoHCAf0BgsHCwf0BoYA/gAIBwwHDAcIBwsHxAYFBwoHxAYKB0sAIQAFB8QGDQcLB4YADAcLBw0HDQeGAMkDSwAKB9EDCgcJB9EDSwDRAw4HSwAOB8sD0QMJB8wD0QPMAw4HCQf+AMwDzAP+AAwHzAMMB/MBDgfMA/MB8wEMBw0HywMOBw8HDgfzAQ8H8wENBw8HDwcNB8kDywMPB/8A/wAPB8kDwQO/A/gBvwMQB/gBwQP4AfwAvwP5ARAH+AEQB9ID+AHSA/wA+QERBxAHwQP8ABIH0APBAxIH0AMSByEAEgf8ABMH/ADSAxMHIQASB/0BEgcTB/0BIQD9AQUH/QHTAwUH/QGJANMDEweJAP0BEwcUB4kA0gMUBxMHFAf+BokAFAf9AP4G/QAiAP4G0gMVBxQHFQf9ABQH+gEVB9IDEAf6AdIDEAcRB/oB/QAWByIAFgfyBiIAFQf7Af0A+wEWB/0AFwfyBhYH+wEXBxYHFwf4APIGvQP4ABcHGAcXB/sBGAe9AxcHGQf7ARUHGQcYB/sB+gEZBxUHEQfAA/oBwAMZB/oB+QHAAxEHwAOMABkH+QGMAMADjAAYBxkH0QaMAPkBjAAaBxgH0QYaB4wAGge9AxgHGwcaB9EGGgcjAL0DGwcjABoHIwC8A70DzwYbB9EGIwDtBrwDuwPtBiMAuwMjABsHugPtBrsDHAcbB88GHAe7AxsH9wAcB88G0gYcB/cA0ga4AxwHuAO7AxwH2Qa4A9IGHQe6A7sDuAMdB7sD2QYeB7gDHgcdB7gD2wYeB9kG2wb0AB4HHgcfBx0HHwe6Ax0H9AAfBx4H4wa6Ax8H9ADjBh8HIAfVAwAB1QMhBwABIAcAASIHIwfVAyAHIgcAAdYDAAEkB9YDAAEhByQH1gMkByUHIQcmByQHJAcmBycHJAcnByUHIQcBASYHJgcBAScH1gMlBwACIgfWAwACJQcnB/8BAAIlB90DJQf/Ad0DJwfbA/8BAQEoBycHJwcoB9sDAQEpBygHIQcpBwEBKAcqB9sD/wHbAysH2wMqBysH/wErB90D2AMpByEH1QPYAyEHKQcFAigHKAcFAioH2AMsBykHKQcsBwUC1wPYA9UDKwcqB00A3QMrB00AIwfXA9UD1wMCAtgDAgIsB9gD1wMjBwQCAgLXAy0H1wMEAi0HAgItBy4HAgJMACwHTAACAi4HIwcvBwQCLQcEAjAHIwcmAC8HJgAjByAHBAIvBzEHBAIxBzAHJgAgBzIHMgcgByIHLQcwBzMHLgctBzMHJgAyBzQHMgciBwwBNAcyBwwBDAEiB94DAwImADQHLwcmAAMCNAcMATUHNQcMAd4DLwcDAjYHMQcvBzYH3gMiBzcHIgcAAjcHNwcAAt0D3gM3ByUAMQc2BwoBMAcxBwoBNwfdAzgHJQA3BzgH3QONADgHMAcKATkHMwcwBzkH3QNNAI0AMwc5BzoHOQcKATsHCAEzBzoHLgczBwgBOgc5B/UDOQc7B/UDCgH0AzsHCgE2B/QDNgcPAvQDNgcDAg8COwf0AzwH9AMPAjwH9QM7Bz0HOwc8Bz0H9QM9Bz4HPQc8Bz8HOgf1A0AHQAf1Az4HPgc9B0EHPQc/B0EHQAc+B5EAQgc6B0AHPgdBBw0CkQA+Bw0CCAE6B0IHDQJBBwkBQQc/BwkBkQANAkMHQwcNAgkBRAcIAUIHLgcIAUQHQgdAB/YD9gNAB5EARAdCB0UHRQdCB/YDRgcuB0QHRgdEB0UHTAAuB0YH9gORAEcHRweRAEMHRQf2A0gHSAf2A0cHRgdFB0kHSQdFB0gHTABGB9kD2QNGB0kH2QNJBwUBSQdIBwEEBQFJBwEESAdHB/MDAQRIB/MD8wNHB0oHRwdDB0oHAQTzA0sHBQEBBEsH8wNKBwwCSwfzAwwCSgdDB0wHQwcJAUwHDAJKB00HSgdMB00HSwcMAk4HDAJNB04HBQFLB/ID8gNLB04HTAcJAQ4CTQdMBw4CTgdNB/EDTQcOAvED8gNOByQAJABOB/EDCQFPBw4CCQE/B08H8QMOAvADDgJPB/AD8gMkAFAHJADxA1EHBQHyA1IH8gNQB1IHBQFSB1MH2QMFAVMHUwdSB1QH2QNTB1UHTADZA1UHVQdTB44AUwdUB44ATABVB1YHTABWBywHVgdVB9oDVQeOANoDLAdWB1cHVgfaA1cHLAdXBwUCBQJXB9wDBQLcAyoHVwfaAwYCVwcGAtwD2gOOAFgH2gNYBwYCKgfcAwIBKgcCAU0A3AMGAlkH3ANZBwIBBgJYBwkCBgIJAlkHjgBaB1gHWAdbBwkCWAdaB1sHWQcJAlwHCQJbB1wHWQfgAwIBWQdcB+ADjgD9A1oHjgBUB/0DWgcKAlsHWgf9AwoCWwddB1wHWwcKAl0HXAePAOADXAddB48A/QNUB14H/QNeBwoCCgL+A10HXgf+AwoCVAf/A14HXgf/A/4DVAcLAv8DUgcLAlQHUgdQBwsCCwIEAf8DCwJQBwQB/wNfB/4D/wMEAV8HXwcnAP4DXQf+A2AH/gMnAGAHXQdgB48ABAEABF8HXwcABCcABAFhBwAEUAdhBwQBUAdiB2EHJABiB1AHJABRB2IHYgfvA2EHYQfvAwAEYgdRB+8DAARjBycAAATvA2MHJwBjBxcCJwBkB2AHJwAXAmQHYwdlBxcC7wMGAWMHYwcGAWUH7wPrAwYB7wMHAesDUQcHAe8D6wNmBwYBUQdnBwcB8QNnB1EHBwFoB+sD6wNoB2YH8QPwA2cHZwftAwcBBwHtA2gHZwfwA+0D7QNpB2gHaAdpB2YH7QOTAGkHaQfqA2YHaQeTAOoD7QPsA5MA8APsA+0DkwDsA+oD8ANqB+wDTwdqB/AD7APuA+oD7ANqB+4DTwcoAGoHPwcoAE8HagcoABACagcQAu4DPwdrBygAPAdrBz8HPAcPAmsHKABrB2wHKABsBxACawcPAm0HawdtB2wHDwJuB20HEAJsB/kDDwL3A24HDwIDAvcDAwI0B/cDbAdtBwsBbAcLAfkDbQduB28HbQdvBwsBbgf3A3AHbgdwB28H9wM0B/gD9wP4A3AH+AM0BzUHcAf4AwEC+AM1BwECbwdwB/oDAQI1B3EHNQfeA3EHcQfeAyUAAQJxB/wDcQclAPwDcAcBAnIH+gNwB3IHcgcBAvwDbwf6A3MHCwFvB3MH+gNyB5QAcgf8A5QAcwf6A5QACwFzB/sD+QMLAfsDcweUAHQH+wNzB3QHlAD8A3UHdAeUAHUH+wN0BxEC+QP7AxECdAd1B3YHEQJ0B3YH+QMRAncHdwcRAnYHdQf8A3gH/AMlAHgHdgd1BxICdQd4BxIC3wN4ByUA3wMlADgH4QMSAngH4QN4B98DdgcSAuMDdwd2B+MDeQffAzgHeQc4B40ACALfA3kHegfjAxICCAJ7B98DewfhA98DEwISAuEDegcSAhMCfAfhA3sHfQd7BwgCfQd8B3sHfgcTAuEDfgfhA3wHkAB6BxMCkAATAn4HFAJ8B30HFAJ+B3wHfweQAH4Hfwd+BxQCgAd6B5AAgQeQAH8HgQeAB5AAgAeCB3oHggfjA3oHFQKAB4EHFQKCB4AHggcpAOMDdwfjAykA5wOCBxUC5wMpAIIHgwcVAoEH6APnAxUC6AMVAoMHgweBB4QHhAeBB38H5gODB4QH6AODB+YDhAd/BxYCFgJ/BxQChQeEBxYC5gOEB4UHFgIUAoYHFwLoA+YDZQfoAxcCFwLmA2QHhgcUAn0HZQeSAOgDkgDnA+gD6QOSAGUHBgHpA2UHBgFmB+kDZgeHB+kD6QOHB5IAZgfqA4cHkgCIB+cDhweIB5IA6gOIB4cHiAcpAOcD6gPuA4gHiAeJBykA7gOJB4gHiQd3BykA7gOKB4kHigd3B4kH7gMQAooHigf5A3cHEAL5A4oHZAfmA4sH5gOFB4sHiweFB4wHhQcWAowHjAcWAoYHiweMB40HZAeLB40HjAeGB+QDjQeMB+QDZAeNB44HYAdkB44HYAeOB48AjgeNB48HjQfkA48HjwCOB+UDjgePB+UDjwDlA5AHjwCQB+AD5QOPB+ID5QPiA5AHjwfkAwMBjwcDAeID5AOGB5EH5AORBwMBhgd9B5EHkQd9BwgCkQcIApIHAwGRB5IHkgcIAnkH4gMDAZMHAwGSB5MHkgd5B5QHkweSB5QHlAd5B40A4gOTBwcCkAfiAwcCkweUB5UHlQeUB40ABwKTB5UHlQeNAE0AkAcHApYHBwKVB5YHlgeVB00A4AOQB5YHAgGWB00A4AOWBwIBlwcCBBgCAgSYBxgClwcYAgMEmQcCBJcHAwQYApoHGAKbB5oHGAKYB5sHAgQFBJgHmgebB5wHmQcGBAIEBgQFBAIEBgSZBxkCmAeVAJsHmweVACYEmwcmBJwHmAedB5UABQSdB5gHlQCeByYElQCdB54HnAcmBJ8HngcpAiYEJgQpAp8HnQcoAp4HngcoAikCBQQEBJ0HnQcEBCgCBQSgBwQEBAQZASgCBASgBxkBKAIZASwEKAIsBCkCGQGhBywEoAehBxkBLASiBykCLAShB6IHEAGgBwUEBgQQAQUEEAFPAKAHEAEGBKMHBgQZAqMHEAGjB6QHTwAQAaQHowcZAqUHTwCmB6AHoAemB6EHTwCnB6YHpgcIBKEHpgenBwgEoQcIBCcCoQcnAqgHoQeoB6IHCASpBycCpwcWAQgECAQWAakHJwKpBxgEJwIYBKgHogeoB04AKQKiB04AqAcYBKoHKQJOACgEnwcpAigEqAcrBE4AqAeqBysETgCrBygEKwSrB04AnwcoBBoBGASsB6oHqQesBxgEqgcXASsEqQetB6wHFgGtB6kHrAeuB6oHqgeuBxcBrQckAqwHrAckAq4HFgEWBK0HrQcWBCQCFgGvBxYEFgSwByQCFgSvB7AHJAIZBK4HsAcZBCQCrgcZBLEHrgexBxcBsAchAhkErwchArAHGQQrALEHsgevBxYBpweyBxYBIQKzBxkEswcrABkErwcVBCECIQIUAbMHFQQUASECtAcVBK8Hsge0B68HFQS1BxQBtAe1BxUEFAEaBLMHswcaBCsAFAG2BxoEtQe2BxQBFQG0B7IHCgS1B7QHFQEKBLQHBwSyB6cHBwQVAbIHTwAHBKcHTwC3BwcEBwS4BxUBBwS3B7gHTwCkB7cHFQG4BwkEFQG5BwoEFQEJBLkHuAe6BwkEtwe7B7gHuAe7B7oHtwekB7wHtwe8B7sHCQQLBLkHCQS6BwsEuQcLBBsCuQcbAr0HCgS5B70HCwS+BxsCCgS9By4ACgQuALUHGwK/B70HGwK+B78HLgC9BxMEvQe/BxMELgDAB7UHtQfAB7YHLgATBMEHLgDBB8AHvwccAhMEwAcXBLYHwAfBBxcEtgcXBB8CtgcfAhoEwQcUBBcEEwTCB8EHwQfCBxQEEwQcAsIHGgQfAsMHGgTDBysAFwTEBx8CFwQUBMQHHwIgAsMHHwLEByACKwDDByICwwcgAsUHwwfFByICxAfGByACIALGB8UHFAQSAcQHxAcSAcYHKwAiAscHKwDHB7EHxQccBCICxgfIB8UHxQfIBxwExgeZAMgHEgHJB8YHxgfJB5kAFATKBxIBEgHKB8kHFATLB8oHwgfLBxQEygcbBMkHywcbBMoHyQcgBJkAmQAgBMgHGwTMB8kHyQfMByAEywcRARsEGwQRAcwHwgceBMsHHgQRAcsHHAIeBMIHEQHNB8wHHgTOBxEBEQHOB80HzwfOBx4EHALPBx4EzAfNBx4CzAceAiAEzgcfBM0HzQfQBx4CzQcfBNAHHgLRByAEHgLQB9EHzwcvAM4HzgcvAB8E0gcvAM8H0AfTB9EHHwQdAtAH0AcdAtMHLwDUBx8EHwTUBx0CIATRBy0A0QfTBy0AIAQtANUHyAcgBNUHyAfVBxwE1QctANYH0wciBC0A1gctACIE1QfWByMCHATVByMCIwLWB9cH1gciBNgH1wfWB9gH2AciBCwC0wfZByIE2QcsAiIE0wchBNkHHQIhBNMHHQLaByEEIQTbB9kH2gfbByEE1AfaBx0C2wfcB9kH2QfcBywC2gfdB9sH1AfeB9oH3gfdB9oH2wctAtwH3QctAtsHLQIjBNwH3QeWAC0C3geWAN0HlgDfBy0C3wcjBC0C3gfgB5YAlgDgB98H3AfhBywC3AcjBOEHLwQsAuEH3wcuAiME4AcuAt8HIwQsAOEHLgLiByME4gcsACMELgLjB+IH4AcSBC4CEgTjBy4C4wckBOIH4gckBCwAEgTkB+MHKwLhBywALwThBysC4wcNASQE5AcNAeMHJATlBywADQEDBCQEJAQDBOUH5gcDBA0B5AfmBw0B5geXBwMEKgCXB+YHKgDmB+QHKgCZB5cHLADlB+cHKwIsAOcHAwQqAuUHAwSaByoCmgecByoC5QcqAicEKgKcBycE5QcnBOcHnAefBycEJwSfBxoBJwQaAecH6AcrAucH6AfnBxoBLgQrAugHLQToBxoB6QfoBy0E6QcuBOgH6gctBBoB6gcaASgEqwfqBygEJgItBOoHJgLpBy0E6wfqB6sH6wcmAuoH7AfrB6sHKwTsB6sHFwHsBysE7AcqBOsHKgQmAusHFwEpBOwHKQQqBOwHFwHtBykEsQftBxcBKQTuByoE7QfuBykEKgTvByYC7gfvByoE7wfpByYCsQfHB+0H7wfwB+kH8AcuBOkH7gcYAe8HGAHwB+8H7QfxB+4H8QcYAe4HxwfxB+0HGAHyB/AH8AfzBy4E8gfzB/AH8wf0By4ELgT0BysC9AcvBCsC8wf1B/QH9QcvBPQH8geaAPMHmgD1B/MH9gfyBxgB8Qf2BxgB9weaAPIH9gf3B/IHmgAlAvUHJQIvBPUH+Af2B/EHxwf4B/EH+Qf3B/YH+Af5B/YHxwcdBPgHHQT5B/gHIgIdBMcHIgIcBB0EHQT6B/kH+Qf6B/cHHAT7Bx0EHQT7B/oHHAQjAvsH+wcjAvwH+wf8B/oHIwLXB/wH+gf9B/cH+gf8B/0H9wf9B5oA/QclApoA/AcOAf0H/AfXBw4B/QcOASUC1wfYBw4BDgElBCUCDgHYByUEJQIlBC8E2AcsAiUEJQQsAi8E1AcQBN4HEAT+B94H/gfgB94HGgIQBNQHLwAaAtQHDwT+BxAEGgIPBBAE/gcvAuAHDwQvAv4HLwISBOAHLwLkBxIE0gcaAi8ADQTkBy8CDwQNBC8CDQQqAOQH/wcPBBoC/wcaAtIHAAgNBA8EAQgqAA0EAQgNBAAImQcqAAEImQcBCBkCGQIBCAIIAggBCAAIGQICCKUHAAgPBA4EDgQPBP8HAggACA8BDwEACA4EpQcCCA8BAwgOBP8HDwEOBAMIpQcPAQQIBAgPAQMIBQilBwQIowelBwUIpAejBwUIAwj/BwYIBgj/B9IHBAgDCAwEDAQDCAYIBQgECAcIBwgECAwEpAcFCJcAlwAFCAcIpAeXALwHvAeXAAgIlwAHCAgIvAcICLsHBwgMBAkICAgHCAkIuwcICBMBCAgJCBMBuwcTAboHCQgMBAoIDAQGCAoIEwEJCAsICQgKCAsIugcTAQwIEwELCAwIugcMCAsECwQMCL4HCggGCA0IBgjSBw0ICwgKCJgACggNCJgADAgLCA4IDAgOCL4HCwiYAA4IDQjSBw8ImAANCA8IDgiYAA8IDwjSB88HDwjPBxwCDggPCBEEEQQPCBwCvgcOCBEEvwcRBBwCvgcRBL8H"), 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"), 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"), 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"), 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"), 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GbwM1BjIGnwA2Bm8DNgY1Bm8DIAE2Bp8AIAFxAzYGNgZxAzUGIAElBnEDNQbkATQGcQPkATUG5AEzBjQGJQY3BnEDcQM3BuQB5AFyAzMGNwZyA+QBJQZ0AzcGdANyAzcGcwN0AyUGcwOhAHQDoQA4BnQDdAM4BnIDoQAjATgGcgOiADMGMwaiAC0GcgM4BjkGcgM5BqIAIwF1AzgGOAY6BjkGOAZ1AzoGOQZ2A6IAOQY6BnYDogBwAy0GogB2A3ADLQZwA2EAcAM7BmEAdgM7BnADOwbnAWEAOgZ3A3YDdQN3AzoGdgM8BjsGdgN3AzwGPAZ4AzsGdwN4AzwGOwZ7A+cBOwZ4A3sDewOkAOcBdQM9BncDIwE9BnUDIwFiAD0GYgB5Az0GYgAkAXkDPQboAXcDPQZ5A+gBdwOjAHgDdwPoAaMAowA+BngD6AE/BqMAowA/Bj4GeAM+BkAGeANABnsDQAZBBnsDewNBBqQAPgZCBkAGQAZCBkEGQQZ8A6QAQgZ8A0EGfAPrAaQAPgZDBkIGPwZDBj4GQgbqAXwDQwbqAUIGfAN9A+sB6gFEBnwDRAZ9A3wDRQZEBuoBQwZFBuoBRQZGBkQGRgZ9A0QGRwZFBkMGPwZHBkMGfQMLAOsBegNHBj8G6AF6Az8GRwZIBkUGSAZGBkUGegNJBkcGSQZIBkcG6AFKBnoDSgZJBnoDeQNKBugBSQYlAUgGJQFGBkgGSgZ+A0kGfgMlAUkGeQN+A0oGJQF/A0YGeQNLBn4DJAFLBnkDfgNMBiUBSwZMBn4DTAZ/AyUBJAGAA0sGSwaAA0wGgAN/A0wGJAHpAYAD6QFNBoADgANNBn8D6QENAE0GfwNNBk4GfwPsAUYGfwNOBuwBRgbsAX0DTQaCA04GTgaCA+wB7AEmAX0D7AGCAyYBfQMmAQsATQaBA4IDDQCBA00GggNPBiYBDQBQBoEDgQODA4IDggODA08GgQNQBoMDJgFPBoQDJgGEAwsAgwPtAU8GTwbtAYQDUAaGA4MDgwOGA+0BCwCEA4UDhAPtAScBhAMnAYUDCwCFA60DCwCtA/MB8wGtA1EG8wFRBqgAhQNSBq0DrQNSBlMGrQNUBlEGrQNTBlQGqABRBg4CUQavAw4CUQZUBq8DqAAOArYDqAC2Aw0CDgKvAwwCDgIMArYDVAZVBq8DrwNWBgwCrwNVBlYGVAZXBlUGUwZXBlQGUwYpAVcGUgYpAVMGVwZjAFUGUgbyASkBhQPyAVIGKQGwA1cGVwawA2MA8gGuAykBKQGuA7ADhQNYBvIBJwFYBoUD8gFZBq4DWAZZBvIBJwGeA1gGWAaeA1kGJwFaBp4DrgNbBrADWQYFAq4DrgMFAlsGngOnAFkGWQanAAUCngNcBqcAWgZcBp4DsANbBrQDsAO0A2MABQKxA1sGpwBdBgUCBQJdBrEDXAZeBqcApwBeBl0GWwYGArQDWwaxAwYCtAMGAl8GXgagA10GXQZgBrEDXQagA2AGsQOyAwYCsQNgBrIDBgKyAwcCBgIHAl8GYAarALIDsgOrAAcCYAYEAqsAoAMEAmAGBwKrALMDYQYEAqADXgZhBqADYQYQAAQC9gFhBl4G9gEQAGEGXAb2AV4GBwKzA2IGXwYHAmIGYgazAwgCCAKzAxEAXwZiBmMGYwZiBggCCAIRALkDZAZfBmMGtANfBmQGYwC0A2QGZAZjBrUDtQNjBggCYwBkBgkCCQJkBrUDVQZjAAkCVQYJAlYGZQYIArkDtQMIAmUGZQa5A2YGCQK1A2cGZwa1A2UGVgYJAmcGuANlBmYGZwZlBrgDuANmBqoAVgZnBgoCCgJnBrgDDAJWBgoCaAa4A6oACgK4A2gGaAaqAGkGDAIKAmoGagYKAmgGtgMMAmoGtwNoBmkGagZoBrcDtwNpBgsCtgNqBmsGawZqBrcDDQK2A2sGbAa3AwsCawa3A2wGDQJrBmwGZABsBgsCDQJsBmQAUAaHA20GUAZtBoYDiAOHA1AGDQCIA1AGDQBuBogD7wFuBg0AbgbuAYgD7wFvBm4GbwbuAW4G7wGKA28GLgGKA+8BbwZwBu4BigNwBm8G7gFxBogDiANxBocDcAZyBu4B7gFyBnEGigP5AXAGLgH6AYoD+gH5AYoDLgFzBvoBZgBzBi4B+gGPA/kBcwaPA/oB+QGtAHAGcAatAHIGjwN0BvkB+QF0Bq0AZgCOA3MGMAGOA2YAcwZ1Bo8DjgN1BnMGjwN2BnQGdQZ2Bo8DMAF3Bo4DMAGwAHcGjgN4BnUGjgN3BngGdQZ5BnYGeAZ5BnUGdwavAHgGeAavAHkGsAD7AXcGdwb7Aa8AsAB6BvsBsACQA3oG+wGSA68A+wF6BpIDrwCUA3kGrwCSA5QDeQaUA2UAeQZlAHYGkAMxAXoGkAN7BjEBegb8AZIDegYxAfwBkgN8BpQDkgP8AXwGlAOXA2UAlAN8BpcDewZ9BjEBewaRA30GMQF+BvwBMQF9Bn4G/AGVA3wG/AF+BpUDfAauAJcDfAaVA64AkQN/Bn0GkQMPAH8GfwYPAP0BfQZ/BpMDfwb9AZMDfQaTA34GkwP9AYAGfgaTA4AGfgaABpUDgAb9AS8BlQOABpYDgAYvAZYDlQOWA64AlgMvAf4BrgCWA/4B/gEvAZkDrgD+AYEGlwOuAIEG/gGZA4IGgQb+AYIGggaZA40DlwOBBoMGgQaCBoQGgwaBBoQGhAaCBo0DZQCXA4MGgwaEBvgB+AGEBo0DZQCDBpgDmAODBvgBdgZlAJgDdgaYA3QGdAaYA4UGmAP4AYUGdAaFBq0A+AGNA4YGhQb4AYYGrQCFBowDhQaGBowDrQCMA3IGcgaMA4kDcgaJA3EGjAOGBocGjAOHBokDhgaNA4sDhgaLA4cGjQMOAIsDjQOZAw4AhwaLA6UAiQOHBqUAiwMOAIgGiwOIBqUAiQOlAIkGcQaJA4kGcQaJBocDiQalAIoGpQCIBvUBpQD1AYoGiQaKBosGhwOJBosGiwaKBowGigb1AYwGhwOLBigBhwMoAW0GiwaMBvEBKAGLBvEBbQYoAY0GKAHxAY0GbQaNBoYDjAb1AaYA8QGMBo4GjAamAI4GjQbxAY8G8QGOBo8GhgONBpAGjQaPBpAGhgOQBpEGhgORBu0BkAaPBpIGkAaSBpEGjwaOBpMGjwaTBpIGjgamAJMG7QGRBpQG7QGUBicBlAZaBicBkQbwAZQGlAbwAVoGkQaSBvAB8AH0AVoGWgb0AVwGkgaVBvABkgaTBpUG8AGVBvQB9AH2AVwGkwacA5UGlQacA/QBkwamAJwD9AGdA/YBnAOdA/QBpgCdA5wDnQMQAPYBpgCbA50D9QGbA6YAnQOWBhAAmwOWBp0DlgahAxAAmwOfA5YGnwOhA5YG9QGXBpsDlwafA5sD9QGIBpcGoQMAAhAAiAb3AZcGlwb3AZ8DiAYOAPcBnwOYBqEDnwOiA5gG9wGiA58DmAYqAaEDogMqAZgGoQOjAwACoQMqAaMDowOsAAACDgCZBvcB9wGZBqIDDgCaA5kGmgOsA5kGmgMtAawDmQapAKIDmQasA6kAogOaBioBogOpAJoGmgabBioBqQCcBpoGmgacBpsGKgGbBp0GKgGdBqMDnQaeBqMDowOeBqwAmwafBp0GnQafBp4GngakA6wAnwakA54GpAOlA6wAmwagBp8GnAagBpsGnwYBAqQDoAYBAp8GpAMCAqUDAgITAKUDAgKnAxMAoQYCAqQDAQKhBqQDAwKnAwICoAaiBgECogahBgECowYCAqEGogajBqEGowYDAgICAwIrAacDpAajBqIGpQYrAQMCpgaiBqAGpgakBqIGnAamBqAGqQMDAqMGqQOlBgMCpwYrAaUGqQOnBqUGpwaoAysBEgCoA6cG/wESAKcG/wGnBqsDqwOnBqkDLQH/AasDLAGpA6MGLAGjBqQGqwOpA6gGqAapAywBLQGrA6kGqQarA6gGLQGpBqwDqQaoBqoDqgOoBiwBrAOpBqoDqgYsAaQGqgMsAaoGqgakBqYGrAOqA6sGqwaqA6oGrAOrBqkApgOqBqYGqwaqBqYDqQCrBqYDpgOmBpwGqQCmA5wGrAYyAQ8CwAMyAawGFwDAA6wGFwCsBr8DwAOtBjIBvwOsBroDrAYPAroDvwO6AzUBrQauBjIBrQbIA64GNQG6A68GNQGvBr0DugMRAq8GvQOvBrsDrwYRArsDvQO7AxQAFAC7A74DuwO8A74DuwMRArwDvAOwBr4DvAOxALAGugMzARECugMPAjMBEQKxBrwDvAOyBrEAsQayBrwDsgazBrEAEQK0BrEGMwG0BhECsQa1BrIGtAa1BrEGsga2BrMGtQa2BrIGtgYSArMGtgbBAxICwQNnABICtQY2AbYGNgHBA7YGtAa3BrUGtwY2AbUGMwG4BrQGuAa3BrQGDwK4BjMBtwa5BjYBNgG6BsEDuQa6BjYBuwa5BrcGuAa7BrcGuQa8BroGDwLDA7gGwwO7BrgGuwa9BrkGvQa8BrkGwwO+BrsGvga9BrsGDwK/BsMDvwa+BsMDMgG/Bg8CMgHHA78GvwbHA74GMgGuBscDvgYQAr0GxwMQAr4GEAK8Br0GrgbABscDxwPABhACrgbJA8AGyAPJA64GyAOzAMkDwAbGAxACEALGA7wGyQPGA8AGswDBBskDyQPBBsYDswA0AcEGxgOyALwGxgPBBrIAvAayAMQDvAbEA7oGugbEA8EDsgDFA8QDxAPCA8EDxAPFA8IDwQPCA2cAwgPCBmcAxQPCBsIDwgYTAmcAsgDDBsUDwQbDBrIAxQPEBsIGwQbKA8MGNAHKA8EGwwbLA8UDxQPLA8QGygPLA8MGNAHFBsoDygPFBssDNAFoAMUGxAbMA8IGywPMA8QGwgbGBhMCwgbMA8YGxgbPAxMCzAPPA8YGzwO1ABMCaADNA8UGaAC2AM0DxQYUAssDxQbNAxQCywO0AMwDywMUArQAzAPHBs8DzwPIBrUAxwbIBs8DyAbQA7UA0AMXArUAxwbJBsgGyQbQA8gGzAPKBscGygbJBscGtADKBswD0APRAxcCtADLBsoGFALLBrQAygbMBskGywbMBsoGyQYWAtADzAYWAskGFgLNBtADzQbRA9ADzAbOBhYCzgbNBhYCywbPBswGzwbOBswGzgPPBssGFALOA8sGzwbQBs4GzgbRBs0G0AbRBs4G0QbRA80GFALSBs4DzQPSBhQCzgPTBs8G0wbQBs8G0gbTBs4D0AbUBtEGzQPSA9IG0gbSA9MG0wa3ANAGtwDUBtAG0gO3ANMG1AY3AdEG0QY3AdEDtwDTA9QG0wM3AdQG0gPVBrcA1QbTA7cAzQPWBtID1gbVBtIDtgDWBs0D1gbUA9UGtgDUA9YG1APTA9UGtgAVAtQD1APXBtMDFQLXBtQDFQLYBtcG1wbYBtMD0wPZBjcB0wPYBtkG2QbXAzcB2AbXA9kGFQIVANgGNwHXA9YDNwHWA9ED2AbVA9cDFQDVA9gG1QPaBtcDFQDYA9UD1QPYA9oG0QPWAxYA0QMWABcC1wM4AdYD1wPaBjgB1gPZAxYA1gM4AdkDFgDZA9oDOAEZAtkD2gbbBjgBOAHbBhkC2gbcBtsG2gYYAtwG2AMYAtoG3AbdBtsGGALdA9wG3AbdA90GGALeBt0D2APeBhgC2wbdBt8G2wbfBhkC3QPgBt0G3gbhBt0D3QPhBuAG3QbiBt8G3QbgBuIGGQLfBuMG3wbfA+MG3wbiBt8DGQLjBrgA4wbfA+QG4wbkBrgAGQK4AOUG2QMZAuUG2QPlBtoD5Qa4AOYG5QbmBtoDuADkBvQDuAD0A+YG3wPzA+QG5AbnBvQD5AbzA+cG5gb0A+gG2gPmBgYE5gboBgYE9AP1A+gG9APnBvUDBgToBh4C6Ab1A/oD6Ab6Ax4C5wbpBvUD9QPqBvoD9QPpBuoG5wY/AekG8wM/AecG6QbrBuoGPwH5A+kG6Qb5A+sG+QMnAusGPwEaAPkD+QMaACcC8wPyAz8B8gMaAD8B6wYnAuwG6gbrBuwG7AYnArsA6gbsBu0G+gPqBu0G7Aa7ACYC7QbsBiYCJgK7AA4EDgS7ACUC7QYmAgwEDAQmAg4E+gPtBkABQAHtBgwEHgL6A0ABDgQlAu4G7gYlAiQCJAIlAhsA7wYOBO4GDAQOBO8GJAIbAA8EQAEMBPAG8AYMBO8G8QbuBiQC7wbuBvEG8gYkAg8E8gYPBPMGDQTxBiQCDQQkAvIG9AbvBvEG9AbxBg0E8AbvBvQGEATyBvMGEATzBroA9QYNBPIG9QbyBhAEQgH0Bg0EQgENBPUGCwTwBvQGCwT0BkIBCQTwBgsECQRAAfAGHgJAAQkEQQEeAgkEBgQeAkEB9gYJBAsEQQEJBPYG9wYGBEEB2gMGBPcG+AZBAfYG9wZBAfgG2gP3BgUEBQT3BvgGFgDaAwUEFgAFBB0C9gYLBGsAawALBEIB+Ab2BvkG+Qb2BmsABQT4BvkGHQIFBPoGBQT5BvoGHQL6BrkAawBCAfsG+QZrAAcE+gb5BgcEBwRrAPsG+wZCAfUG+gYHBB8CuQD6Bh8CBwT7BiACHwIHBCAC+wb1BiMCIAL7BiMCIwL1BhAEuQAfAggEHwIgAggEuQAIBCECIAIjAvwGCAQgAvwGIwIQBP0G/AYjAv0G/QYQBLoA/Qa6AP4GCgT9Bv4G/Ab9BgoECgT+BiICCAT8Bv8G/wb8BgoEIQIIBP8GAAcKBCIC/wYKBAAHIQL/BgAHbAAAByICIQIAB2wA2AMBB94GAQfeA94G3gbeA+EG2wMBB9gDFQDbA9gDFQACB9sDGwICBxUA2wMDBwEHAQe8AN4DAwe8AAEHGgIDB9sDAgcaAtsDGwIEBwIHBAcaAgIHGwLjAwQHwADjAxsCBAcFBxoC4wMFBwQHGgIGBwMHBQcGBxoCBgfgAwMHAwfgA7wABQe/AAYH4wM3AgUHNwK/AAUHNgI3AuMDwAA2AuMDBgfiA+ADvwDiAwYHwAAHBzYCagAHB8AANgLlAzcCBwflAzYCNwIIB78A5QMIBzcCvwAJB+IDCAcJB78AagDkAwcHOQHkA2oABwcKB+UD5AMKBwcH5QMLBwgHCgcLB+UDCAfuAwkHCwfuAwgHOQEMB+QDOQHEAAwH5AMNBwoH5AMMBw0HCgcOBwsHDQcOBwoHCwdpAO4DDgdpAAsHDQfDAA4HDAfDAA0HDgfqA2kAwwDqAw4HDAc1AsMAxAA1AgwHwwDoA+oDNQLoA8MAxAAPBzUCNQIPB+gDxADmAw8H5gM6AQ8H5gMQBzoBDwc0AugDDwc6ATQC6AMRB+oD6AM0AhEH6gMRB+0D6gPtA2kAEAcSBzoBEAfnAxIHOgETBzQCOgESBxMHNALrAxEHNAITB+sDEQfBAO0DEQfrA8EA5wMUBxIH5wMZABQHFAcZADMCEgcUB+kDFAczAukDEgfpAxMH6QMzAhUHEwfpAxUHEwcVB+sDFQczAsIA6wMVB+wDFQfCAOwD6wPsA8EA7APCADICwQDsAzICMgLCAO8DwQAyAhYH7QPBABYHMgLvAxcHFgcyAhcHFwfvA/AD7QMWBxgHaQDtAxgHFgcXBxkHGAcWBxkHGQcXB/ADaQAYB+4DGAcZBysC7gMYBysCKwIZB/AD7gMrAgkH8APvAxgACQcrAhoHKwLwAxoHCQcaB+IDGgfwA+ED8AMYAOED4gMaBxsHGgfhAxsH4gMbB+AD4AMbB9wD4APcA7wAGwfhAxwHGwccB9wD4QMdBxwH4QMYAB0H3AMcByoCHAcdByoCvADcAx4H3AMqAh4HvAAeB94D3gMeBygCHgcqAigC3gMoAuEG4QYoAh8H4QYfB+AGKAIqAiAHKAIgBx8HKgI7ASAH4AYfByEH4AYhB+IGHwcgByIHHwciByEHIAc7ASIH4gYhBxwC4gYcAt8D3wMcAvMDIQcjBxwCHAIjB/MDIQciByMHIwfyA/MDIgfyAyMHIgc7AfIDOwEkB/ID8gMkBxoAJAf3AxoAOwH2AyQH9gP3AyQH9wMsAhoA9wMlBywCJQf7AywC+wO+ACwC9wM9ASUHPQH7AyUH9gMmB/cDJgc9AfcD9gP4AyYH+AM9ASYHJwf2AzsBKgInBzsBKgIdBycHJwcpAvYDHQcpAicHKQL4A/YDHQcYACkCGAAoBykCKQIoB/gDGADxAygH8QMEBCgH8QO9AAQEKAcpB/gD+AMvAj0B+AMpBy8CKAc8ASkHKAcEBDwBKQcqBy8CLwIrBz0BLwIqBysHPQErBywHPQEsB/sDPAH9AykHKQf9AyoHPAEtB/0DBAQtBzwBLAcuB/sD+wMuB74ALAcvBy4HKwcvBywHLgf8A74ALwf8Ay4H/AMuAr4AKwcwBy8HKgcwBysHLwctAvwDMActAi8H/AP+Ay4C/gMcAC4C/gP/AxwAMQf+A/wDLQIxB/wDMAL/A/4DMAcyBy0CMgcxBy0CMAI+Af8DMwf+AzEHMgczBzEHMwcwAv4DNAcyBzAHKgc0BzAH/QM0ByoHNQc+ATAC/QM2BzQHNwc+ATUHLQc2B/0DNwcABD4BHQAABDcHMQIdADcHMQI3BzgHAQQ3BzUHOAc3BwEEAQQ1BzACMQI4BwMEAwQ4BwEEvQAxAgMEAQQwAjkHOQcwAjMHvQADBDoHvQA6BwQEAwQBBDsHOgcDBDsHbQABBDkHOwcBBG0APAc5BzMHbQA5BzwHPAczBzIHNAc8BzIHNgc8BzQHNgdtADwHOgc7BwIEAgQ7B20AAgRtADYHBAQ6BwIELQcCBDYHBAQCBC0HPQc+BzgCPwc+Bz0HHwA/Bz0HPwfFAD4HHwA9B0AHQAc9B0EHPQc4AkEHQAdBB0MBQwFBB0IHxQASBD4HxQA6AhIEPgcRBDgCPgcSBBEEOgJDBxIEOgJEAUMHQgdBB0QHQgdEBx4AHgBEB0UHRAcTBEUHEwRvAEUHQQc7AkQHRAc7AhMEQQc5AjsCQQc4AjkCOwJGBxMEOQJGBzsCEwQUBG8ARgcUBBMEFAQ8Am8AOAJHBzkCOQJHB0YHOAIRBEcHRgdGARQEFARIBzwCRwdJB0YHRgdJB0YBEQRKB0cHRwdKB0kHSAfHADwCRgEVBBQESQcVBEYBFQRIBxQESgfGAEkHEQTGAEoHSQdLBxUExgBLB0kHSwdIBxUEEQRMB8YAxgBMB0sHEgRMBxEEEgRDB0wHTAc9AksHSwc9AkgHTAdDBz0CPQJNB0gHSAdNB8cAQwdOBz0CPQJOB00HTQdPB8cATgdPB00HTwcXBMcAQwdQB04HRAFQB0MHTgdRB08HUAdRB04HRAFSB1AHUAdSB1EHRAEZBFIHTwdTBxcEUwdwABcEUQcWBE8HTwcWBFMHUwcdBHAAHQQeBHAAFgRUB1MHVAcdBFMHUQdFARYERQFUBxYEHQRVBx4EUQcYBEUBUgcYBFEHRQFWB1QHGARWB0UBVAccBB0EUgc+AhgEGQQ+AlIHGQRuAD4CPgIbBBgEGAQbBFYHbgBXBz4CPgJXBxsEbgAaBFcHVgdYB1QHVAdYBxwEGwRZB1YHVgdZB1gHGgRaB1cHGwRAAlkHWQdAAlgHVwdbBxsEGwRbB0ACVwdaB1sHQAJcB1gHQAJbB1wHWAc/AhwEWAdcBz8CHAQ/Ah0EPwJVBx0EXAdVBz8CWwdHAVwHXAdHAVUHWwdaB0cBGgQhAFoHRwEfBFUHWgddB0cBRwFdBx8EWgdeB10HIQBeB1oHXQcgBB8EXgcgBF0HVQcfBCAAVQcgAB4EHwRfByAAHwQgBF8HIQBgB14HXgdgByAEIQBhB2AHIABfB0gCIQBCAmEHIwRCAiEAYQdiB2AHYAdBAiAEYAdiB0ECYQdNAWIHYgckBEECYgdNASQEIARBAkgBIARIASEEIAQhBF8HQQJjB0gBQQIkBGMHSAFkByEESAFjB2QHXwchBGUHIQRkB2UHXwdlB0gCJARmB2MHYwdnB2QHYwdmB2cHJAREAmYHZgdEAmcHJAQlBEQCTQElBCQERAJoB2cHRAIlBGgHZAdnB0cCZAdHAiYEZAcmBGUHZwcnBEcCZwdoBycERwInBCYEaAdpBycEJwRpByYEJQRMAWgHaAdMAWkHTQFqByUEJQRqB0wBZQcmBDYEZQc2BEgCJgRpB1QCJgRUAjYETAFrB2kHaQckAFQCaQdrByQANgRUAkkBSAI2BGwHNgRJAWwHSAJsB20HIABIAm0HIABtByIEIgRtB24HIgRuB3IAbQdsB0sCbAdJAW8HbAdvB0sCbQdLAnAHbQdwB24HcgBuB3EHcgBxBzkEbgdwBzgEOQRxB0EEOQRBBMwAzABBBFgCQQRzAFgCcQdyB0EEbgdzB3EHcQdzB3IHbgc4BHMHQQR0B3MAcgdABEEEcwdABHIHQAR0B0EEOAR1B3MHcwd1B0AEdAd2B3MAOATLAHUHcAfLADgEdQd3B0AEQAR3B3QHywBXAnUHdQdXAncHcAd4B8sASwJ4B3AHdwc/BHQHVwI/BHcHdAdWAnYHPwRWAnQHVgIlAHYHVgJKASUAPgRKAVYCPwQ+BFYCPgQ8BEoBeQc8BD4EeQdVAjwEegc+BD8Eewd6Bz8EVwJ7Bz8ESwE+BHoHSwF5Bz4EPQR6B3sHPQRLAXoHfAd7B1cCfAc9BHsHywB8B1cCeAd8B8sAeAc6BHwHOgQ9BHwHSwI6BHgHSwJvBzoEOgR9Bz0Ebwd9BzoEfQdLAT0Ebwc3BH0HSQE3BG8HfQd+B0sBNwR+B30Hfgd5B0sBNwR/B34Hfwd5B34HSQF/BzcEfweAB3kHSQGAB38HgAdVAnkHVAKAB0kBgAckAFUCVAIkAIAHgQdTAiQAaweBByQAgQeCB1MCggcuBFMCgweBB2sHTAGDB2sHggctBC4ELQRTAS4ETAEpBIMHagcpBEwBgwcqBIEHKQQqBIMHgQcsBIIHKgQsBIEHLASEB4IHhActBIIHKgTKACwEygCEBywEhAdSAi0EKgQrBMoAygCFB4QHKwSFB8oAhQeGB4QHhAeGB1ICKwQxBIUHUgIvBC0EhgcvBFIChQeHB4YHMQSHB4UHLwSIBy0ELQSIB1MBiAcnAFMBiAeJBycAhwdUAYYHMQRUAYcHhgeKBy8EigeIBy8EVAGKB4YHMASJB4gHigcwBIgHMARVAYkHVAGLB4oHiwcwBIoHMQSLB1QBjAdVATAEiweMBzAEjAeNB1UBJgCNB4wHUQImAIwHjgeMB4sHUQKMB44HjgeLBzEEUQFRAo4HUAKOBzEEUQGOB1ACUAIxBCsEjwdRAVACkAdQAisEjwdQApAHkAcrBCoEKQSQByoEIgCPB5AHIgCQBykEagciACkEkQciAGoHkQdqB00BKAQiAJEHKASSByIARQKRB00BYQdFAk0BkwcoBJEHkweRB0UCQgJFAmEHQgKTB0UCMgSSBygEMgRQAZIHTgEoBJMHTgEyBCgEQwKTB0IClAdQATIElQdQAZQHlQdNAlABlQcjAE0ClgcjAJUHlgeVB0wCyQCWB0wCTAKVB5cHyQBMApgHSgLJAJgHTAKXBzMEmAdMAjMElweVB5kHMwSXB5kHmQeVB5QHSgKYB5oHUgFKApoHmAczBJsHmgeYB5sHMwSZB5wHmwczBJwHmQeUB08CnAeZB08CTwKUBzIEUgGaB50HUgGdBzUEmgebB0kCnQeaB0kCmwecB04CSQKbB04CNQSdB54HNQSeB3EAnQdJAp8HnQefB54HSQJOAqAHSQKgB58HTgKcBzQEnAdPAjQEoAdOAsgATgI0BMgAnwegB6EHoAfIAKEHnwehB0YCngefB0YCNARPAqIHTwIyBKIHogcyBE4BNASiB6MHoweiB04ByAA0BKMHyACjB6QHpAejB04BoQfIAKQHpAdOAaUHpQdOAZMHoQekB6YHpgekB6UHRgKhB6YHQwKlB5MHpgelB0MCRgKmB08BTwGmB0MCngdGAk8BTwFDAqcHpwdDAkICngdPAagHqAdPAacHqAenB0ICcQCeB6gHIwSoB0ICcQCoByMEqQdWAUMEqgdWAakHKACqB6kHqgdEBFYBKACpB6sHqwepB6wHqQdDBKwHqwesB1gBWAGsB60HRASuB1YBRAR1AK4HVgFCBEMEVgGuB0IEdQCvB64HdQBZAa8HrQesB7AHrQewByoAKgCwB7EHsAdFBLEHRQTOALEHrAdXAbAHsAdXAUUErAdaAlcBrAdDBFoCVwGyB0UEWgKyB1cBRQRGBM4AsgdGBEUERgRcAs4AQwSzB1oCWgKzB7IHQwRCBLMHsgdbAkYERgS0B1wCswe1B7IHsge1B1sCQgS2B7MHswe2B7UHtAd0AFwCWwJHBEYEtQdHBFsCRwS0B0YEtgdZArUHQgRZArYHtQe3B0cEWQK3B7UHtwe0B0cEQgS4B1kCWQK4B7cHrge4B0IErgevB7gHuAfNALcHtwfNALQHuAevB80AzQC5B7QHtAe5B3QArwe6B80AzQC6B7kHuQe7B3QAuge7B7kHuwdJBHQArwe8B7oHWQG8B68Huge9B7sHvAe9B7oHWQG+B7wHvAe+B70HWQFLBL4Huwe/B0kEvwfPAEkEvQdIBLsHuwdIBL8HvwdPBM8ATwRQBM8ASATAB78HwAdPBL8HvQdaAUgEWgHAB0gETwTBB1AEvQdKBFoBvgdKBL0HWgHCB8AHSgTCB1oBwAdOBE8EvgddAkoESwRdAr4HSwTQAF0CXQJNBEoESgRNBMIH0ADDB10CXQLDB00E0ABMBMMHwgfEB8AHwAfEB04ETQTFB8IHwgfFB8QHTATGB8MHTQRfAsUHxQdfAsQHwwfHB00ETQTHB18CwwfGB8cHXwLIB8QHXwLHB8gHxAdeAk4ExAfIB14CTgReAk8EXgLBB08EyAfBB14CxwdbAcgHyAdbAcEHxwfGB1sBTAQrAMYHWwFRBMEHxgfJB1sBWwHJB1EExgfKB8kHKwDKB8YHyQdSBFEEygdSBMkHwQdRBCkAwQcpAFAEUQTLBykAUQRSBMsHKwDMB8oHygfMB1IEKwDNB8wHKwBhAs0HVQRhAisAzQdWBMwHzAdgAlIEzAdWBGACzQdjAlYEYQJjAs0HVgRiAmACYwJcAVYEVgRcAWICUgRgAtEAUgTRAFMEUgRTBMsHYALOB9EAYAJiAs4H0QDPB1ME0QDOB88HywdTBNAHUwTPB9AHywfQB3UCKQDLB3UCYgLRB84HKQB1AtIHKQDSB1QE0AdZBHUCzgfRB9MHzgfTB88HzwdyAtAH0AdyAlkEzwfTB3QCzwd0AnIC0QdXBNMHYgJXBNEH0wdYBHQCdAJYBHICVwTUB9MH0wfUB1gEYgJmAlcEVwRmAtQHXAFmAmICWATVB3IC1AfVB1gEZgJdAdQH1AddAdUHXAHWB2YCZgLWB10B1wfWB1wBYwLXB1wBcgLVB1oE1QDXB2MCcgJaBFkEYQLVAGMC1wcsANYH1QcuAFoE1QBtBNcHbQQsANcHbQTYBywAbATYB20E1gcsAGUEbARfAdgH1gdlBF0BbAJtBNUAbAJsBG0EXQHZB9UH1QfZBy4AXQFlBNoHXQHaB9kH2gfbB9kH2QfbBy4AZQRkBNoH2gdkBNsH2wdxAi4A2wfcB3EC3AdkAXEC2wdmBNwHZARmBNsH3AdoBGQBaARwAmQBZgTdB9wH3QdoBNwHZATXAGYE1wDdB2YEaATeB3AC3gcwAHAC3QdvAmgE3gffBzAA3QfgB28CbwJpBGgEaQTeB2gE4AdpBG8CagTfB94HagRjAd8H4QfeB2kE4QdqBN4H4AfhB2kE4gdjAWoE4gfjB2MBMQDjB+IHbgIxAOIH5AfiB2oE5AdqBOEHbgLiB+UH5QfiB+QHYAFuAuUHYgHkB+EHYgHhB+AH5QfkB2sEawTkB2IBYAHlB20CbQLlB2sE5gdgAW0C5wdiAeAHawRiAecH6AfnB+AHawTnB+gH6AfgB90H1wDoB90HZwRrBOgHZwToB9cAbQJrBGcEZARnBNcA5gdtAukH6QdtAmcE6QdnBGQELADmB+kHZQTpB2QELADpB2UE6gfrB2cCYQHrB+oHYQF2AOsHYQHqB28EdgDsB+sHdgBwBOwH6wfsB+0H6wftB2cCbwTqB+4HbwTuB9YA6gdnAu8H6gfvB+4HZwLtB2gCZwLwB+8HZwJoAvAH1gDuB/EH1gDxB1UEVQTxB2EC8QfyB2EC7gfzB/EH8QfzB/IH8gdkAmEC8wdkAvIHZALVAGEC7gdlAvMH7gfvB2UC8wf0B2QCZQL0B/MHZAL1B9UA9Af1B2QC9QdsAtUA7wf2B2UCZQL2B/QH7wfwB/YH9Af3B/UH9wdsAvUH9gf3B/QH8AdeAfYH9gdeAfcH8AdoAl4B9wf4B2wCXgH4B/cH+Af5B2wC+QdsBGwCXgFuBPgHbgT5B/gHaAJuBF4BawJsBPkHbgRrAvkHaAL6B24E+gdrAm4E7Qf6B2gCawL7B2wE+wdfAWwE+gf8B2sC/Af7B2sC7QfYAPoH2AD8B/oH7AfYAO0H2AD9B/wH7AdpAtgAaQL9B9gAcARpAuwHcAT+B2kCaQL/B/0H/Qf/B/wH/gf/B2kC/Af/B/sH/wdfAfsH/gctAP8H/wdqAl8B/wctAGoC0gcACGUBdQIACNIHdQJZBAAIWQQBCAAIAAgBCAIIAAgCCGUBWQR2AgEIWQRaBHYCAQhbBAIIAQh2AlsEdgIDCFsEWgQECHYCdgIECAMIWgQuAAQIBAguAHMCBAhzAmYBWwQDCAUIAwgECAUIWwQFCAYIAghbBAYIBQgECGAEBAhmAWAEBggFCHgCBQhgBHgCYARmAWEEeAJgBGEEYQRmAXkCAggGCF4EZQECCF4EBgh4AtIAXgQGCNIAeAJhBAcI0gB4AgcIYQR5AnwCfAJ5Ai8AfAIvAAgIYgRhBHwCBwhhBGIECQh8AggIYgR8AgkICQgICNQACggHCGIE0gAHCAoICwhiBAkIDAjSAAoIXgTSAAwIegIKCGIEegJiBAsIDAgKCHoCDQheBAwIZQFeBA0IdwIMCHoCDQgMCHcCZQENCA4IDggNCHcC0gdlAQ4I0gcOCA8IVATSBw8IVAQPCNMADwgOCFwEDgh3AlwE0wAPCBAI0wAQCF0EDwhcBGcBDwhnARAIXAR3AhEIdwJ6AhEIXAQRCGcBEQh6AgsIEAhnARIIZwERCF8EEQgLCF8EZwFfBBIIXwQLCAkIEAgSCGMEEghfBGMEXwQJCGMEXQQQCGMEYwQJCNQAXQRjBHcAYwTUAHsCdwBjBHsCEwhoAX0CEwh9AhQIFQhoARMIMgAVCBMIMgATCBQIFQgWCGgBFgjZAGgBMgAUCIACgAIUCBcIgAIXCDQAFwgYCDQAGAhpATQAFAh/AhcIFwh/AhgIGAgZCGkBfwIZCBgIGQgaCGkBGQh4ABoIFAhxBH8CFAh9AnEEfwKBAhkIcQSBAn8CGQgbCHgAgQIbCBkIfQJ+AnEEcQR+AoECaAF+An0CaAEcCH4CfgJqAYECagEbCIECfgIcCGoBagEdCBsIHAgdCGoBaAHZABwIHQhyBBsIHAhyBB0I2QAeCBwIHAgeCHIE2QCCAh4IcgQfCBsIGwgfCHgAHwhzBHgAcgQgCB8IHgggCHIEHwiDAnMEIAiDAh8IggKEAh4IHgiEAiAIggJ1BIQCdQQhCIQCIAiEAmsBIAhrAYMChAIhCGsBdQRsASEIgwIiCHMEcwQiCHQEIgiGAnQEgwLaACIIawHaAIMCIggjCIYC2gAjCCIIawF2BNoAIQh2BGsBdgR4BNoAeAQjCNoAIwgzAIYCdgQkCHgEIQgkCHYEeAQlCCMIJAglCHgEhQIkCCEIbAGFAiEIbAF3BIUChQImCCQIdwQmCIUCJAgmCCUIdwQ1ACYIJgiHAiUIJQgnCCMIJQiHAicIIwgnCDMAJggoCIcChwIoCCcINQCKAiYIJgiKAigIJwgpCDMAJwgoCCkIMwApCIgCKAh5BCkIKQh5BIgCKAhtAXkEKAiKAm0BNQCMAooCewSMAjUAMwCIAokCigJ6BG0BbQGLAnkEbQF6BIsCfAR6BIoCjAJ8BIoCeQQqCIgCeQSLAioIiAIqCCsIiAIrCCwIiAIsCIkCKgiUAisIiwItCCoIKggtCJQCKwguCCwIKwiUAi4IiQIsCHABLAguCN0ALAjdAHABlAIvCC4ILggvCN0AlAI4AC8ILQg4AJQCLwg4AIsELwiLBDAI3QAvCDAIMAiLBHMBMAhzATEIMQhzAYwE3QAwCDIIMggwCDEIMQiMBJcClwKMBDkAMggxCDMIMwgxCJcCNAiXAjkAMwiXAjQINAg5AHIBNQg0CHIBjwQzCDQIjwQ0CDUINggyCDMINggzCI8EcQEyCDYI3QAyCHEB3QBxATcIcAHdADcIOAhxATYINwhxATgIcAE3CDkIOQg3CDgIiQJwATkIOAg2CJYCOQg4CJYClgI2CI8EiQI5CJUClQI5CJYCiQKVAo0ElQKWAjoIjQSVAjoIOgiWAo8EjQQ6CI4EOgiPBJAEjgQ6CJAEjwQ1CJAEjgSQBHkAkAQ1CHkAfAR0AXoEegR0AX0EegR9BIsCfQQtCIsCdAE7CH0EfQQ7CC0IfAQ8CHQBdAE9CDsIPAg9CHQBOwiQAi0IPgg9CDwIOwg/CJACPQg/CDsIkAJACC0ILQhACDgAQAiJBDgAkAJBCEAIPwhBCJACQAiKBIkEQQiKBEAIPQg2AD8IPgg2AD0IPwiRAkEINgCRAj8IQQh1AYoEQQiRAnUBigRCCIkEiQRCCHYBQgiIBHYBigSTAkIIdQGTAooEQghDCIgEkwJDCEIIQwg7AIgEQwiSAjsAdQGFBJMCkQKFBHUBeQFDCJMChQR5AZMCRAiSAkMIeQFECEMIRQiSAkQIRQg6AJIChwQ6AEUIhgRFCEQIhgRECHkBhwRFCIYEhQSGBHkBRgiHBIYERgiGBIUERgiFBJECeAGHBEYINgBGCJECNgB4AUYIRwh3ATYARwg2AD4IggR3AUcIggSDBHcBgARHCD4ISAiDBIIESAg3AIMESQg3AEgISgiCBEcISghHCIAEjwJICIIESQhICIQEhARICI8CSwhJCIQE3ABLCIQE3ACEBEwITAiEBI8CjQLcAEwIjQJMCIEETAiPAo4CgQRMCI4CjwKCBE0ITQiCBEoIjgKPAk4IjwJNCE4IgQSOAn8EjgJOCH8ETghNCNsATQhKCNsAfwROCNsA2wBKCE8ITwhKCIAEfwTbAFAI2wBPCFAIgQR/BFEIUQh/BFAIgQRRCG8BTwiABH4EUAhPCH4EUQhQCFIIbwFRCFIIUghQCH4EbwFSCHsEewRSCIwCUgh+BIwCfgSABG4BgAQ+CG4BfgRTCIwCfgRuAVMIjAJTCHwEbgE+CFQIUwhuAVQIUwhUCHwEVAg+CDwIVAg8CHwEVQiYAnoBmAJWCHoBegFWCFcIVQh6AVgIegFXCFgIVgibAlcIWAhXCFkImAJaCFYIVghaCJsClwSYAlUIPACXBFUIlwRbCJgCPABVCJUElQRVCJEEVQhYCJEElQSRBH0BWwhcCJgCmAJcCFoIWwiYBFwIfQGRBF0IfQFdCJMEkQRYCJkCWAhZCJkCkQR8AV0IkQSZAnwBkwRdCJIEXQh8AZIEkwSSBD4APgCSBJQEkgReCJQEkgR8AV4IXghfCJQEXgiWBF8IfAGWBF4IlgTfAF8ImQJgCHwBmQJZCGAIfAFhCJYEfAFgCGEIlgRiCN8AYQhiCJYEYghjCN8AYAibBGEIYQibBGIIYgicAmMImwScAmIInAKdAmMIYAhkCJsEWQhkCGAImwRlCJwCZAhlCJsEnAKeAp0CWQhmCGQIVwhmCFkIVwibAmYIngJ7AJ0CZQicBJwCnASeApwCZAh7AWUIewGcBGUIZgh7AWQIZwieApwEewFnCJwEZghoCHsBaAhnCHsBmwJoCGYIZwidBJ4CmwJpCGgIaAhqCGcIaQhqCGgIagidBGcIWghpCJsCaQiaAmoImgKdBGoIWgiZBGkImQSaAmkIXAiZBFoIXAiaBJkEmgSaApkEmASaBFwImAR6AJoEmgRrCJoCegBrCJoEegBsCGsIawhsCJoCegB+AWwImgJsCG0ImgJtCJ0EfgGeBGwIbAhuCG0IbAieBG4IbQjeAJ0EbQhuCN4AfgFvCJ4EngSgBG4IbgigBN4AngRvCKAEfgF8AG8InQTeAHAInQRwCJ4CngJwCHsAcAifBHsA3gCfBHAInwSfAnsA3gBxCJ8E3gCgBHEInwRyCJ8CcQiAAZ8EnwSAAXIIoASAAXEIcgihBJ8CgAGhBHIIoQThAJ8CoASgAoABoQRzCOEAoAR0CKACgAF1CKEEdQhzCKEEbwh0CKAEgAF2CHUIoAJ2CIABdQilBHMIdgilBHUIcwiiBOEApQSiBHMIogSjBOEAogSmBKMEoAJ3CHYIdAh3CKACdgh4CKUEdwh4CHYIpQTgAKIEeAjgAKUE4AB5CKIEeQimBKIEeAh6COAAegh5COAAdwh7CHgIewh6CHgIpAR7CHcIdAikBHcIewh8CHoIegh9CHkIfAh9CHoIfQimBHkIfgh8CHsIpAR+CHsIfAh/CH0IfwGkBHQIbwh/AXQIgAh+CKQEfwGACKQEbwipBH8BqQSACH8BfACpBG8IfACBAakEqQSnBIAIgAinBH4IgQGBCKkEqQSBCKcEgQGqBIEIgQGhAqoEgQiCCKcEgQiqBIIIpwSCAX4IpwSCCIIBfgiCAXwIggF/CHwIggioBIIBggGoBH8IqgSoBIIIoQKDCKoEqgSDCKgEoQKECIMIgwiECKgEqASiAn8IfwiiAn0IfQiiAqYEqASFCKICqASECIUIhQisBKIChAisBIUIoQI9AIQIogKDAaYEogKsBIMBpgSDAT8ApgQ/AKMEhAirBKwEPQCrBIQIrASGCIMBqwStBKwErAStBIYIPQCHCKsEqwSHCK0EgwGuBD8AgwGGCK4EPwCuBIQBrQSoAoYIhgioAq4EPwCEAa8EPwCvBLAErgSICIQBrgSoAogIiAiJCIQBsASvBIoIsASKCOQAhAGLCK8EhAGpAosIhAGJCKkCrwSLCIwIiAixBIkIqAKxBIgIrwSMCI0IrwSNCIoIiwi2BIwIiwipArYEjAiOCI0IjAi2BI4IigiNCLwEjQiOCI8IjQiPCLwEigi8BLoC5ACKCLoC5AC6Ar8E5AC/BLwCugK8BLsCugK7Ar8EvASPCJAIvASQCLsCjwh9AJAIvAK/BJEIvwS7ApIIvwSSCJEIuwKQCL8CuwK/ApIIkAiTCL8CkAh9AJMIvAKRCJQIvAKUCH4AfgCUCL0CkQjABJQIlAjABL0CkQiSCMAEwASVCL0CkgiWCMAEwASWCJUIkgi/ApYIlgjlAJUIvwLBBJYIlgjBBOUAvwKTCMEEwQSXCOUAwQSYCJcIkwiYCMEEmAjCBJcIkwi+BJgImAjBAsIEvgTBApgIfQC+BJMIwQJBAMIEwQK5BEEAfQCZCL4EvgSaCMECmQiaCL4EmgibCMECmwi5BMECmQicCJoInAibCJoIhQG5BJsInAiFAZsIhQHCArkEvQSZCH0Ajwi9BH0Ajgi9BI8IvQS7BJkIuwScCJkIjgi+Ar0EvgK7BL0EtgS+Ao4IuwS6BJwIugSFAZwIvgLAArsEwAK6BLsEtgS1BL4CtQTAAr4CqQK1BLYEugS4BIUBuATCAoUBwAKdCLoEnQi4BLoEngjCArgEnQieCLgEngiGAcICnwidCMACtQSfCMACoAieCJ0InwigCJ0ItASGAZ4IoAi0BJ4IoQiGAbQEoQhAAIYBogi0BKAIogihCLQEhwGgCJ8IhwGiCKAIowifCLUEowiHAZ8IqQKjCLUEiQijCKkCiQiyBKMIsgSHAaMIsQSyBIkIpAiiCIcBsgSkCIcBrQKhCKIIpAitAqIIrQJAAKEIpQikCLIEsQSlCLIEqwKtAqQIpQirAqQIpghAAK0CqwKmCK0CpwilCLEEqAKnCLEEswSrAqUIpwizBKUIqAKoCKcIqAizBKcIqQioCKgCrQSpCKgCqAiqCLMErQSrCKkIqQisCKgIrAiqCKgIqwisCKkIhwirCK0ErAitCKoIqgiuCLMEswSuCKsCqgjjAK4IrQjjAKoIrgisAqsC4wCsAq4IrAKmCKsC4wCvCKwCrwimCKwCrQiwCOMAsAivCOMAsQitCKwIqwixCKwIpQKwCK0IsQilAq0I4gCxCKsIhwjiAKsIsgilArEI4gCyCLEIhwinAuIApwKyCOIAsgizCKUCpwKzCLIIpQK0CLAIswi0CKUCtAi1CLAIsAi1CK8IswjDBLQItQjXBK8IrwjXBKYItAiqArUIwwSqArQIqgLXBLUItgjDBLMIpwK2CLMItgiJAcMEiQGqAsMEtwi2CKcCxQSJAbYItwjFBLYIxAS3CKcCxASnAocIPQDEBIcIPQC4CMQEpAK4CD0AowK3CMQEuAijAsQEpAK5CLgIuQijArgIpALIBLkIigHIBKQCuQi6CKMCyAS6CLkIowK7CLcIugi7CKMCuwjFBLcIyASmAroIugjnALsIpgLnALoIuQKmAsgEigG5AsgEuwjHBMUE5wDHBLsIxwS8CMUExQS8CIkBigG9CLkCgQC9CIoBvQjKBLkCuQLKBKYCgQDJBL0IiwHJBIEAvQi+CMoEyQS+CL0IygS/CKYCpgK/COcAvgjACMoEygTACL8IiwHBCMkEiwGCAMEIyQTCCL4IyQTBCMIIvgjDCMAIwgjDCL4IwQjqAMIIwgjqAMMIggC4AsEIwQi4AuoAggDECLgCggDLBMQIuALNBOoAuALECM0E6gDPBMMI6gDNBM8EwwjPBIAAwwiAAMAIywSMAcQIywTFCIwBxAi3As0ExAiMAbcCzQTGCM8EzQS3AsYIzwTSBIAAzwTGCNIExQjHCIwBxQjMBMcIjAHICLcCjAHHCMgItwLQBMYItwLICNAExgjoANIExgjQBOgAzATJCMcIzARDAMkIyQhDALUCxwjJCM4EyQi1As4ExwjOBMgIzgS1AsoIyAjOBMoIyAjKCNAEygi1AukA0ATKCNEEygjpANEE0ATRBOgA0QTpALQC6ADRBLQCtALpANQE6AC0AssI0gToAMsItALUBMwIywi0AswIzAjUBNUE0gTLCM0IywjMCM4IzQjLCM4IzgjMCNUEgADSBM0IzQjOCLYCtgLOCNUEgADNCNME0wTNCLYCwAiAANMEwAjTBL8IvwjTBM8I0wS2As8IvwjPCOcA5wDPCMcEzwi2AtAIzwjQCMcEtgLVBNAIxwTQCLwI0AjVBMYE0AjGBLwI1QRCAMYE1QTUBEIAvAjGBNEIvAjRCIkBiQHRCKoCxgTSCNEI0QjSCKoCxgRCANIIqgLSCNMIqgLTCNcE0ghCAIgB0giIAdMIQgDUCIgBQgDWBNQI0wiIAdgE0wjYBNcEiAHUCK4CiAGuAtgE1gTkBNQI1gTmAOQE1wTYBLcE1wS3BKYIpgi3BEAAtwTVCEAA2ATVCLcE1QiQAUAA2ATWCNUI2ASuAtYI1QjXCJAB1gjZBNUI1QjZBNcIrgLZBNYI1wjbBJAB2QTbBNcI2wSxApABrgKPAdkE2wTYCLECrgLZCI8B1AjZCK4C2QTaCNsE2gjYCNsEjwHbCNkE2QTbCNoI2QjcCI8BjwHcCNsI1AivAtkI1AjkBK8C2QjaBNwIrwLaBNkI2wjeBNoI2gjeBNgI3AjdCNsI2wjdCN4E2gTeCNwI3AjeCN0IrwLfCNoE5ATfCK8C3gTcBNgI2AjcBLEC3ATdBLEC3gR/ANwE3Qh/AN4E3ASyAt0EsgJEAN0EsgLfBEQA4AiyAtwEfwDgCNwEswLfBLIC3QjhCH8A4QjgCH8A3gjhCN0I4giyAuAI4QjiCOAI4gizArICswKOAd8E4wjiCOEI3gjjCOEI5AizAuII4wjkCOII5QiOAbMC5gjjCN4I2gTmCN4I3wjmCNoE5giNAeMIjQHkCOMI3wjiBOYI4gSNAeYI5ATiBN8IjQHhBOQI4QSzAuQI4QTlCLMC5wiOAeUI4QTnCOUI5wjgBI4BRQDgBOcIsAJFAOcI6AjnCOEEsALnCOgIsALoCOME4wToCOEE5gCwAuME6QjhBI0B4wThBOkI4gTpCI0B5gDjBOoI6gjjBOkI6gjpCOIE5gDqCOQE5ATqCOIE6wjyBJEB8gTsCJEBkQHsCO0I6wiRAe4IkQHtCO4I7AjsBO0I7gjtCO8I8gTwCOwI7AjwCOwE8QTyBOsIRgDxBOsI8QTxCPIERgDrCOoE6gTrCOUE6wjuCOUE6gTlBOsA8QjyCPIE8gTyCPAI8QjzBPII6wDlBPMI6wDzCOgE5QTuCMQC7gjvCMQC5QTFAvMI5QTEAsUC6ATzCOYE8wjFAuYE6ATmBEgASADmBOkE5gT0COkE5gTFAvQI9Aj1COkE9AjnBPUIxQLnBPQI5wSSAfUIxAL2CMUCxALvCPYIxQL3COcExQL2CPcI5wT4CJIB9wj4COcE+Aj5CJIB9giEAPcI9wiEAPgI+AjrBPkIhADrBPgI6wTtAPkI9gj6CIQA7wj6CPYIhAD7COsE+gj7CIQA6wT8CO0A7wj9CPoI7Qj9CO8I7QjsBP0I/AiTAe0A+wjGAusExgL8COsE+gj+CPsI/gjGAvsI/Qj+CPoI/wj8CMYC/gj/CMYC/QgACf4IAAn/CP4I7AQACf0I/wjsAPwI7ATDAgAJAAntBP8IwwLtBAAJ7QTsAP8I8AjDAuwEwwLvBO0E7wTsAO0E8AgBCcMCAQnvBMMC8ggBCfAI8gj0BAEJ9ATvBAEJ8wT0BPII8wSDAPQE9AQCCe8EgwACCfQEgwADCQIJAgkDCe8EgwCUAQMJ7wQDCQQJ7wQECewAlAH1BAMJAwkFCQQJAwn1BAUJBAnwBOwABAkFCfAElAEGCfUE9QT2BAUJBQn2BPAE9QQGCfYElAH3BAYJ7ADwBO4E7ADuBPwI/AjuBJMB7gQHCZMB8AQHCe4EBwmFAJMB8AQICQcJ8AT2BAgJBwkJCYUACAn4BAcJBwn4BAkJ9gT4BAgJCQn7BIUA+AT7BAkJ+wTvAIUA9gTuAPgE+wQKCe8A9gQLCe4A+AQMCfsEDAkKCfsEBgkLCfYE+AQNCQwJ7gANCfgEDAn9BAoJDQn9BAwJCgn8BO8A/QT8BAoJ/ATJAu8A/AT+BMkC7gAOCQ0JCwkOCe4ADQkPCf0EDgkPCQ0J/QSVAfwEDwmVAf0ElQEQCfwEEAn+BPwEDwkRCZUBEQkQCZUBDgkSCQ8JEgkRCQ8J+gQSCQ4JCwn6BA4JEgkTCREJEQkUCRAJEwkUCREJFAn+BBAJFQkTCRIJ+gQVCRIJEwkWCRQJxwL6BAsJBgnHAgsJFwkVCfoExwIXCfoEBgn5BMcC+QQXCccC9wT5BAYJ9wTwAPkE+QT/BBcJFwn/BBUJ8AAYCfkE+QQYCf8E8AABBRgJ8ADIAgEFGAkZCf8EGAkBBRkJ/wSWARUJ/wQZCZYBFQmWARMJlgEWCRMJGQkABZYBlgEABRYJAQUABRkJyAIaCQEFAQUaCQAFyAIbCRoJGgkbCQAFAAXKAhYJFgnKAhQJFAnKAv4EAAUcCcoCAAUbCRwJHAkDBcoCGwkDBRwJyAJHABsJygKXAf4EygIDBZcB/gSXAUkA/gRJAMkCGwkCBQMFRwACBRsJAgUEBQMFRwAdCQIFAgUdCQQFAwUeCZcBAwUEBR4JlwEfCUkAlwEeCR8JSQAfCSMFBAUgCR4JHgnLAh8JHgkgCcsCHwnLAiEJHwkhCSMFIAkiCcsCywLZAiEJywIiCdkCIQnZAiMJIQkjCSMFSQAjBSUFSQAlBd0CIwUjCdwCIgkkCdkC2QIkBSMJ2QIkCSQFIwkkBSUJIwklCdwCIwXcAiYJIwUmCSUF3AIlCScFJgncApkB3AInBZkBJQUmCScJJgmZAScJJQUnCSgJJwmZASkJJwkpCSgJmQEnBSoFmQEqBSkJJQUoCSoJ3QIlBSoJ3QIqCfUAKgkoCSkF9QAqCd4CKgkpBd4C9QDeAigF9QAoBYgA3gIpBd8C3gLfAigFKAkrBSkFKAkpCSsFKQUrCd8CKQUrBSsJKQngAisFKQkqBeACKwWJACsJKwXgAokA3wIrCeECKwmJACwJKwksCeEC3wLhAi0JKAXfAi0JKAUtCS4JiAAoBS4JiAAuCS8JiAAvCaUBpQEvCfYALgksBS8JLwksBfYALgktCSwFLAUwCfYALQkxCSwFLAUxCTAJLQnhAjEJMQmmATAJ4QIuBTEJMQkuBaYB4QIsCS4FLgUyCaYBLgUzCTIJLAkzCS4FMwkvBTIJLAkwBTMJMwniAi8FMAXiAjMJiQAwBSwJ4gJNAC8F4gKkAU0AiQA0CTAF4AI0CYkAMAU1CeICNAk1CTAFNgmkAeICNQk2CeIC4wKkATYJNwk2CTUJNAk3CTUJNwnjAjYJ4wIxBaQBOAk3CTQJ4AI4CTQJKgU4CeACOAmjATcJowHjAjcJKgU5CTgJOQmjATgJJwU5CSoFowEyBeMCMgUxBeMCOQktBaMBLQUyBaMBJwXkAjkJ5AItBTkJJQnkAicFOgkxBTIFLQU6CTIFOgmiATEF5AI7CS0FOwk6CS0FJQmhAeQCoQE7CeQCJAWhASUJOwkmBToJJgWiAToJoQE8CTsJPAkmBTsJJAU9CaEBPQk8CaEBJAk9CSQFPgmiASYFPAk+CSYFPglMAKIB2wI+CTwJPQnbAjwJ2wJMAD4JJAnaAj0J2gLbAj0JHwVMANsC2gIfBdsC8gDaAiQJIgnyACQJBQXyACIJIAkFBSIJ8gAeBdoCPwkFBSAJBAU/CSAJBQVACfIAQAkeBfIAPwlBCQUFQQlACQUFBAVCCT8JQglBCT8JHQlCCQQFHgVDCdoCQwkfBdoCQAlECR4FRAlDCR4FQQlFCUAJRQlECUAJQglGCUEJRglFCUEJmAFGCUIJHQmYAUIJRAlHCUMJRwkfBUMJRQlICUQJSAlHCUQJRgnOAkUJzgJICUUJmAFJCUYJSQnOAkYJBwVJCZgBHQkHBZgBSQkIBc4CBwUIBUkJzgJKCUgJCAVKCc4CSgnYAkgJSAnYAkcJCAVLCUoJ2AIdBUcJRwkdBR8FSgmaAdgCSwmaAUoJmgEdBdgCTAlLCQgFBwVMCQgFTAkJBUsJCQWaAUsJTQlMCQcF8QAJBUwJTQnxAEwJBgVNCQcFBgUHBR0JRwAGBR0JRwBOCQYFzQJOCUcAzAJNCQYFTgnMAgYFzQJPCU4JTwnMAk4JzQIMBU8J8wAMBc0CTwlQCcwCDAVQCU8JzAJRCU0JUAlRCcwCUQnxAE0JDAXPAlAJUAnQAlEJzwLQAlAJ0gLPAgwF8wDSAgwFUQkLBfEA0AILBVEJCwVSCfEA8QBSCQkF8wBTCdICDQVTCfMAUwkPBdIC0gIPBc8CDQUOBVMJmwEOBQ0FUwlUCQ8FDgVUCVMJDwVVCc8CzwJVCdACVAlWCQ8FDwVWCVUJmwFXCQ4FmwGHAFcJDgVYCVQJDgVXCVgJVAlZCVYJWAlZCVQJVwkQBVgJWAkQBVkJhwDTAlcJVwnTAhAFhwBaCdMChwARBVoJ0wITBRAF0wJaCRMFEAUVBVkJEAUTBRUFWQkVBYYAWQmGAFYJEQWcAVoJEQVbCZwBWgnUAhMFWgmcAdQCEwVcCRUFEwXUAlwJFQUYBYYAFQVcCRgFWwldCZwBWwkSBV0JnAFeCdQCnAFdCV4J1AIWBVwJ1AJeCRYFXAmdARgFXAkWBZ0BEgVfCV0JEgVLAF8JXwlLANUCXQlfCRQFXwnVAhQFXQkUBV4JFAXVAmAJXgkUBWAJXglgCRYFYAnVAvQAFgVgCRcFYAn0ABcFFgUXBZ0BFwX0ANYCnQEXBdYC1gL0ABoFnQHWAmEJGAWdAWEJ1gIaBWIJYQnWAmIJYgkaBRsFGAVhCWMJYQliCWQJYwlhCWQJZAliCRsFhgAYBWMJYwlkCdEC0QJkCRsFhgBjCRkFGQVjCdECVgmGABkFVgkZBVUJVQkZBWUJGQXRAmUJVQllCdAC0AJlCQsFZQnRAmYJZQlmCQsF0QIbBWYJCwVmCVIJZgkbBQoFZgkKBVIJGwVKAAoFGwUaBUoAUgkKBWcJUglnCQkFCQVnCZoBCgVoCWcJZwloCZoBCgVKAGgJmgFoCWkJmgFpCR0FaAlKANcCaAnXAmkJSgBqCdcCSgAcBWoJaQnXAiAFaQkgBR0F1wJqCSEF1wIhBSAFHAU+BWoJHAX4AD4FHQUgBWsJHQVrCR8FHwVrCUwAawkiBUwAIAUiBWsJIgWfAUwAIAVsCSIFIAUhBWwJIgVtCZ8BbAnlAiIFIgXlAm0JIQXlAmwJbQkzBZ8B5QIzBW0JMwU0BZ8BIQXnAuUCMwVuCTQFIQVvCecCaglvCSEF5QJwCTMFcAluCTMF5wJxCeUC5QJxCXAJbwlyCecC5wJyCXEJagmeAW8Jagk+BZ4Bbwk3BXIJngE3BW8JcQk2BXAJcAk2BW4JcglzCXEJcQlzCTYFNwV0CXIJcgl0CXMJngF1CTcFPgV1CZ4BNgU1BW4Jbgk1BTQFNQWgATQFNgXmAjUFcwnmAjYFNQU4BaABOAVPAKABOAU5BU8Adgk4BTUF5gJ2CTUF6QI5BTgFcwl3CeYCdwl2CeYCdAl3CXMJeAk4BXYJdwl4CXYJeAnpAjgF6QL5ADkFeQl4CXcJdAl5CXcJegnpAngJeQl6CXgJewn5AOkCfAl5CXQJNwV8CXQJdQl8CTcFfAn3AHkJ9wB6CXkJdQk8BXwJPAX3AHwJPgU8BXUJ9wA7BXoJOwXpAnoJOwV7CekCfQn5AHsJOwV9CXsJfQk6BfkATgA6BX0J6AJOAH0Jfgl9CTsF6AJ9CX4J6AJ+CT0FPQV+CTsF+ADoAj0Ffwk7BfcAPQU7BX8JPAV/CfcA+AA9BYAJgAk9BX8JgAl/CTwF+ACACT4FPgWACTwFgQlGBfoARgWCCfoA+gCCCYMJgQn6AIQJ+gCDCYQJggnqAoMJhAmDCYUJRgWGCYIJggmGCeoCRQVGBYEJUABFBYEJRQWHCUYFUACBCUMFQwWBCT8FgQmECT8FQwU/BagBhwmICUYFRgWICYYJhwlHBYgJqAE/BYkJqAGJCUEFPwWECesChAmFCesCPwWnAYkJPwXrAqcBQQWJCUAFiQmnAUAFQQVABVIAUgBABUIFQAWKCUIFQAWnAYoJigmLCUIFiglEBYsJpwFEBYoJRAX7AIsJ6wKMCacB6wKFCYwJpwGNCUQFpwGMCY0JRAWOCfsAjQmOCUQFjgmPCfsAjAlLBY0JjQlLBY4JjgntAo8JSwXtAo4J7QLuAo8JjAmQCUsFhQmQCYwJSwWRCe0CkAmRCUsF7QJNBe4ChQmSCZAJgwmSCYUJgwnqApIJTQWKAO4CkQlMBe0CTAVNBe0CkAlKBZEJSgVMBZEJkglKBZAJkwlNBUwFSgWTCUwFkgmUCUoFlAmTCUoF6gKUCZIJkwlOBU0F6gKVCZQJlAn8AJMJlQn8AJQJ/ABOBZMJhgmVCeoClQnsAvwA7AJOBfwAhglIBZUJSAXsApUJiAlIBYYJiAlJBUgFSQXsAkgFRwVJBYgJRwWLAEkFSQWWCewCiwCWCUkFiwCXCZYJlgmXCewCiwCpAZcJ7AKXCZgJ7AKYCU4FlwmpAe8ClwnvApgJqQGZCe8CqQFSBZkJmAnvAlAFmAlQBU4F7wKZCVEF7wJRBVAFUgVaBZkJUgX9AFoFTgVQBZoJTgWaCU0FTQWaCYoAmglPBYoAUAVPBZoJTwXwAooAUAWbCU8FUAVRBZsJTwWcCfACmwmqAU8FTwWqAZwJUQWqAZsJnAlTBfACqgFTBZwJUwX+APACUQXxAqoBUwWdCf4AUQWeCfECmQmeCVEFqgGfCVMFnwmdCVMF8QKgCaoBqgGgCZ8JngmhCfEC8QKhCaAJmQmMAJ4JmQlaBYwAnglVBaEJjABVBZ4JoAlWBZ8JnwlWBZ0JoQmiCaAJoAmiCVYFVQWjCaEJoQmjCaIJjACkCVUFWgWkCYwAVgVUBZ0JnQlUBf4AVAXzAv4AVgWsAVQFogmsAVYFVAVXBfMCogmlCawBowmlCaIJrAGmCVQFpQmmCawBpglXBVQFpQmnCaYJpwlXBaYJVwVRAPMCqAmnCaUJowmoCaUJpwn0AlcFqQmoCaMJVQWpCaMJpAmpCVUFqAmqCacJqgn0AqcJqQmrAagJqwGqCagJpAlYBakJWAWrAakJWgVYBaQJqwFZBaoJWQX0AqoJWAWrCasBqwlZBasBWgWsCVgFrAmrCVgF/QCsCVoFrAlbBasJ/QBbBawJWwVZBasJ/QDyAlsFWwWtCVkF8gKtCVsF8gKuCa0JrQmuCVkFWQWvCfQCWQWuCa8JrwldBfQCrgldBa8J8gJTAK4J9AJdBa0B9AKtAVcFVwWtAVEArglcBV0FUwBcBa4JXAVeBV0FUwCwCVwFXAWwCV4FXQWxCa0BXQVeBbEJrQGxCV8FrQFfBVEAXgX1ArEJsQn1Al8FUQBfBWAFXwX1Aq4BXwWuAWAFXgWyCfUCXgWzCbIJsAmzCV4Fsgm0CfUCswm1CbIJsgm1CbQJ9QK0CbYJ9QK2Ca4BtQm3CbQJtAn6ArYJtAm3CfoCtgm4Ca4Btgn6ArgJrgG4CYEF+gL7ArgJtwm5CfoC+gK5CfsCtQm6CbcJtwm7CbkJugm7CbcJuwl/BbkJuQl/BfsCugm8CbsJvQm6CbUJswm9CbUJvQn4AroJ+AK8CboJ/wC9CbMJsAn/ALMJvgn4Ar0J/wC+Cb0JsAljBf8AYwW+Cf8Avgm/CfgCYwW/Cb4J+ALACbwJvwnACfgCZAVjBbAJUwBkBbAJYwXBCb8JUwDCCWQF9wLCCVMAZAXDCWMFwwnBCWMFwgn2AmQF9gLDCWQF9wLECcIJxAn2AsIJ9wJoBcQJAQFoBfcCxAnFCfYCaAXFCcQJ9gLGCcMJxQnGCfYCxgllBcMJwwllBcEJxQkAAcYJaAUJA8UJCQMAAcUJCgMJA2gFAQEKA2gFxglnBWUFAAFnBcYJAQHHCQoDaQXHCQEBCgNrBQkDxwlrBQoDCQPICQABawXICQkDAAHJCWcFyAnJCQABaQVqBccJsgFqBWkFxwnKCWsFagXKCccJawXLCcgJygnLCWsFyAl1BckJywl1BcgJsgHMCWoFsgGQAMwJagXNCcoJagXMCc0JygnOCcsJzQnOCcoJywltBXUFzgltBcsJzQlsBc4JzAlsBc0JzgmPAG0FbAWPAM4JzAkLA2wFkAALA8wJbAVxBY8ACwNxBWwFkADPCQsDCwPPCXEFkABvBc8JbwVuBc8JbwXQCW4FzwkMA3EFzwluBQwDcQUOA48AcQUMAw4DjwAOA3QFjwB0BW0F0AnRCW4F0AlwBdEJbgXSCQwDbgXRCdIJDAPTCQ4DDAPSCdMJDgN2BXQFDgPTCXYFcAXUCdEJcAVXANQJ1AlXAA0D0QnUCXIF1AkNA3IF0QlyBdIJcgUNA9UJ0glyBdUJ0gnVCdMJ1QkNA7EB0wnVCXMF1QmxAXMF0wlzBXYFcwWxAQ8DdgVzBQ8DDwOxAXcFdgUPA9YJdAV2BdYJDwN3BdcJ1gkPA9cJ1wl3BXgFdAXWCdgJbQV0BdgJ1gnXCdkJ2AnWCdkJ2QnXCXgFbQXYCXUF2AnZCQgDdQXYCQgDCAPZCXgFdQUIA8kJeAV3BVYAyQkIA9oJCAN4BdoJyQnaCWcF2gl4BWYFeAVWAGYFZwXaCdsJ2glmBdsJZwXbCWUFZQXbCbABZQWwAcEJ2wlmBdwJ2wncCbABZgXdCdwJZgVWAN0JsAHcCfkC3AndCfkCwQmwAWIFsAH5AmIFwQliBb8JvwliBcAJYgX5AsAJwAn5Aq8BwAmvAbwJ+QJ5Ba8BvAmvAd4JrwF5Bd4JvAneCbsJuwneCX8F3gl8BX8F3gl5BXwFfwV8BfsC+QLfCXkF+QLdCd8J3Qn/At8J3QlWAP8C3wl7BXkF3wn/AnsFeQXgCXwFeQV7BeAJVgDhCf8CVgB6BeEJ/wJ9BXsF/wLhCX0FewXiCeAJewV9BeIJegWMBeEJegWzAYwF4QnjCX0F4AniCX4FfQW0AeIJ4gm0AX4F4Al+BVQAfAXgCVQAfgUUA1QAfgXkCRQDfgW0AeQJ5AmCBRQDtAGCBeQJggUHARQDfQURA7QBfQXjCREDtAHlCYIFggXmCQcB5QnmCYIF5gmDBQcBgwWEBQcB5QmGBeYJhgWDBeYJtAHnCeUJ5wmGBeUJEQPnCbQBgwUTA4QFEwNYAIQFEwOHBVgAEgOHBRMDEgO3AYcFEQPoCecJ4wnoCRED6AnpCecJ5wnpCYYF4wmFBegJ6Qm2AYYFhgW2AYMF6AnqCekJhQXqCegJ6QnrCbYB6gnrCekJtgHsCYMF6wnsCbYB7AkTA4MF7QkTA+wJ6wntCewJ7QkSAxMD6gnuCesJ7gntCesJ7wnuCeoJhQXvCeoJ7gnwCe0J8AkSA+0J7wm4Ae4JuAHwCe4JiQUSA/AJuAGJBfAJiQXxCRID8Qm3ARID8gm3AfEJiQXyCfEJ8gmIBbcBWQCIBfIJEANZAPIJ8wnyCYkFEAPyCfMJEAPzCYsFiwXzCYkFswEQA4sFiwWJBfQJ9AmJBbgBswGLBfUJ9QmLBfQJswH1CYwFigX0CbgB9Qn0CYoFjAX1CYoFigW4Ae8J9gmKBe8JjAWKBfYJ9gnvCYUFjAX2CQYBBgH2CYUF4QmMBQYBBgGFBeMJ4QkGAeMJrgH3CWAFrgGBBfcJYAX3CfwC9wmBBfgJ9wn4CfwCYAX8AvkJYAX5CWEFUQBgBWEFUQBhBf0C/QJhBfoJ/QL6CQMBYQX5CfsJ+Qn8Ao0F+QmNBfsJYQX7CfwJYQX8CfoJ+wmNBf0J+wn9CfwJ/AKOBY0F/AL4CY4FjQUCAf0JjQWOBQIB/An9Cf4J+gn8CY8F/An+CY8F+gmPBQEDAwH6CQED/QkCAZkF/QmZBf4JAwEBA5AFAwGQBQQDAQOPBQMDAQMDA5AFjwX+Cf8JjwX/CQMD/gmZBY0A/gmNAP8JBAOQBQAKkAUDAwEKkAUBCgAKAwP/CQYDAwMGAwEK/wmNAAIK/wkCCgYDBAMACgMKBAMDCo4AjgADCgUDAAqRBQMKAwqRBQUDAAoBCpEFkQUECgUDAQoFCpEFkQUFCgQKAQoGAwUKBQoEAQQKBgOSBQUKBQqSBQQBBgMCCpIFkgUGCgQBkgUHCgYKAgoHCpIFBwqTBQYKAgqUBQcKBwoHA5MFlAUHAwcKjQCUBQIKBwNVAJMFBwOVBVUAjQAICpQFmQUICo0AlAUJCgcDCAoJCpQFCgqVBQcDCQoKCgcDtQGVBQoKCwoKCgkKCAoLCgkKCwq1AQoKtQEFAZUFmAULCggKmQWYBQgKAgGYBZkFmAWXBQsKlwW1AQsKAgECA5gFAgOXBZgFjgUCAwIBlwUMCrUBDAoFAbUBAgMNCpcFDQoMCpcFjgUOCgIDDgoNCgID+AkOCo4FlgUFAQwKDQqWBQwKlgUAAwUBDgoPCg0KDwqWBQ0K+AkQCg4KEAoPCg4KgQUQCvgJDwoRCpYFEQoAA5YFEAr+Ag8K/gIRCg8KgQUSChAKEgr+AhAKuAkSCoEFuAn7AhIKEwoAAxEK/gITChEKEwpUAAADEgqABf4CgAUTCv4C+wKABRIKgAVUABMK+wJ8BYAFfAVUAIAF"), 0.0020182023, 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"), 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") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_y7f0j") diff --git a/Resources/meshes/dog.tres b/Resources/meshes/dog.tres new file mode 100644 index 0000000..09d700c --- /dev/null +++ b/Resources/meshes/dog.tres @@ -0,0 +1,41 @@ +[gd_resource type="ArrayMesh" load_steps=3 format=4 uid="uid://jlkdee0elxgj"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_bh6kq"] +resource_name = "purple" +cull_mode = 2 +albedo_color = Color(0.7969752, 0.1556725, 1, 1) +roughness = 0.43464053 + +[sub_resource type="ArrayMesh" id="ArrayMesh_qbw3e"] +_surfaces = [{ +"aabb": AABB(-0.34115997, -0.24946994, -0.12988786, 0.652585, 0.5503756, 0.24511576), +"format": 34896613377, +"index_count": 23040, +"index_data": 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HI8n/0yPJ/8u2zf/Hts3/y7bN/8NI0v/HSNL/z7bN/9e2zf/bbNv/x9rW/7uRxP+/SNL/u0jS/7e2zf+3bNv/t9rW/7OR5P+/bNv/s//f/7O2zf+zSNL/r5HE/7uRxP+3/7//v/+//7eRxP+zI8n/r2y7/7dIsv+72rb/s22b/7//v/+vbLv/r5HE/6u2zf+rts3/p0jS/6fa1v+rSNL/oyPJ/6O2zf+f2tb/m2zb/6f/3/+jbNv/q9rW/4/a9v+fbPv/o2zb/4dI0v+Hts3/i7bN/5e2zf+bts3/g5HE/6ORxP+f/7//p2y7/6dsu/+jSLL/s7at/7P/n/+z2pb/u9qW/7Ntm/+z2pb/r/+f/68jqf+vtq3/r0iy/6sjqf+rtq3/p5Gk/6e2rf+f2pb/o0iS/6dtm/+r2rb/l/+//5tsu/+TkcT/myPJ/5eRxP+XkcT/kyPJ/4v/v/+PkcT/hyPJ/4f/v/9/bLv/g5Hk/7Mj6f+z2vb/s2z7/7v///+3bPv/r2z7/6tI8v+v2vb/q0jy/6uR5P+rkeT/r//f/69su//3/7//9/+////atv/zkcT/+5HE//+RxP/3bLv/7/+//++2zf/3SNL/70jS//dI0v/72tb/+9rW//ds2//r2tb/62zb/+dI0v/nts3/50jS/+Pa1v/bts3/3yPJ/+ORxP/nbNv/x/+//+eRxP/jbLv/52y7/+ORxP/fbLv/29q2/9cjyf/bts3/27bN/9dI0v/PSNL/x7bN/8sjyf/TkcT/1yPJ/8uRxP/TkcT/xyPJ/8cjyf/DbLv/w5HE/7//v/+/SNL/v5HE/7tI0v+72tb/u0jS/7f/3/+7keT/v7bN/7fa1v+zkcT/t2zb/7P/v/+3bLv/t0iy/7vatv+zbZv/v/+//69su/+vkcT/p7bN/6dI0v+nSNL/r9rW/6tI0v+jI8n/o7bN/5/a1v+bbNv/p//f/6Ns2/+rbPv/o2z7/6va1v+DSNL/j0jS/4cjyf+DkcT/f2y7/4P/v/9/ts3/m9q2/5e2zf+XkcT/oyPJ/5uRxP+f/7//p2y7/6dIsv+zSLL/r7at/7P/n/+z2pb/u22b/7Palv+v/5//ryOp/6/alv+rSJL/q22b/6valv+jtq3/n5Gk/6cjqf+rtq3/p7at/6/atv+nbLv/o2y7/5uRxP+XkcT/kyPJ/5O2zf+LI8n/i5HE/4cjyf+H/9//r5Hk/6uR5P+vte3/p9r2/6dI8v+rI+n/r5Hk/7Mj6f+zSPL/r9r2/6/a9v+zbPv/r////7Ns+/+7////t2y7//f/v//3/7///9q2//ORxP/7kcT//5HE//dsu//v/7//77bN//dI0v/vSNL/90jS//va1v/72tb/92zb/+va1v/rbNv/50jS/+e2zf/nSNL/49rW/9u2zf/fI8n/45HE/+f/v//nkcT/42y7/+dsu//jkcT/32y7/9vatv/XI8n/27bN/9u2zf/XSNL/z2zb/8dI0v/Hts3/yyPJ/9O2zf/HI8n/y5HE/9eRxP/TkcT/x2y7/8O2zf/DSNL/v0jS/7uRxP+//7//v5HE/7u2zf+3kcT/t0jS/7fa1v+z2tb/u2zb/7P/3/+7keT/v2z7/7v///+3////s9r2/7Ns+/+vI+n/s9r2/69I8v+vkeT/syPp/69I8v+rkeT/r9r2/6ds+/+jte3/p//f/6OR5P+r/9//r2zb/6tI0v+v2tb/q2zb/6dI0v+nts3/p/+//7dsu/+3SLL/u/+//6/atv+zbLv/r5HE/6f/v/+nI8n/o0jS/6O2zf+f2tb/m9rW/4O2zf+bSNL/j7bN/5dI0v+HI8n/m5HE/6ORxP+fbLv/p2y7/6Patv+nSLL/r0iy/7O2rf+zbZv/v9qW/7v/n/+zbZv/s9qW/6//n/+vI6n/r9qW/6tIkv+rbZv/q9qW/6O2rf+fkaT/pyOp/6u2rf+ntq3/r2y7/5vatv+XkcT/l2y7/4P/v/9/kcT/fyPJ/5ORxP+Tts3/iyPJ/4uRxP+HI8n/gyPJ/4dsu//3/7//9/+////atv/zkcT/+5HE//+RxP/3bLv/7/+//++2zf/3SNL/70jS//dI0v/72tb/+9rW//ds2//r2tb/62zb/+dI0v/nts3/50jS/+Pa1v/bts3/3yPJ/+ORxP/nbNv/x/+//+eRxP/jbLv/52y7/+ORxP/f/7//29q2/9eRxP/bts3/22y7/9O2zf/XSNL/z5HE/9cjyf/Tts3/yyPJ/8v/v//PkcT/x2y7/8Mjyf/DI8n/x0jS/8dI0v+/SNL/u5HE/7//v/+/kcT/u7bN/7eRxP+3SNL/t9rW/7Pa1v+7bNv/s//f/7uR5P+/bPv/u////7f///+z2vb/s2z7/68j6f+zSPL/r5Hk/7Pa9v+rkeT/r//f/6+R5P+rSPL/q9r2/6ds+/+j/9//o2zb/6ts2/+n2tb/q0jS/69I0v+nts3/p/+//7dsu/+3SLL/u/+//6/atv+zbLv/r5HE/6f/v/+nI8n/o0jS/6O2zf+f2tb/m7bN/5va1v+LSNL/j0jS/4e2zf+Lts3/h7bN/4Mjyf+LkcT/h5HE/39su/+D/7//f9q2/5dsu/+bkcT/k5HE/5cjyf+TI8n/l7bN/5cjyf+bkcT/n5HE/6Nsu/+nbLv/o9q2/6dIsv+vSLL/s7at/7Ntm/+/2pb/u/+f/7Ntm/+z2pb/r22b/6//n/+vI6n/r9qW/6tIkv+rbZv/q9qW/6O2rf+fkaT/p7at/6cjqf+rtq3/r2y7//f/v//3/7//89q2//ORxP/7/7//72y7/+v/v//rbLv/5/+//+eRxP/jbLv/29q2/9cjyf/nts3/4yPJ//dI0v/zSNL/90jS//va1v/72tb/99rW/+9s2//rSNL/69rW/+dI0v/nSNL/39rW/9u2zf/bts3/12zb/8dI0v/H2tb/wyPJ/8eRxP/TI8n/w/+//9eRxP/HbLv/w5HE/8P/v/+/kcT/u7bN/7tI0v+3I8n/t0jS/7NI0v+v/7//t0jS/6v/v/+zbLv/t/+//69Isv+72rb/s22b/7//v/+rbLv/q9qW/7valv+zbZv/s7at/7NIsv+vtq3/ryOp/6//n/+vtq3/p22b/6uRpP+nSJL/q9qW/6O2rf+f2rb/p2y7/6f/v/+nkcT/o9q2/5cjyf+nts3/o0jS/6dI0v+fts3/m9rW/6ds2/+r/9//o9rW/7Pa1v+3bNv/s//f/6//3/+7keT/v5Hk/6+R5P+rkeT/syPp/7O17f+32vb/t////7Ns+/+zbPv/r9r2/69I8v+v2vb/q9r2/6e17f+nbPv/o9r2/5/a1v+b2tb/j7bN/5dI0v+LbNv/h9rW/4NI0v+HI8n/gyPJ/4eRxP+TkcT/h5HE/4P/v/+XbLv/g/+///f/v//zkcT/8/+///8jyf/7bLv/77bN//v/v//rbLv/45HE/+dsu//b2rb/1yPJ/+cjyf/rbLv/zyPJ/++2zf/rSNL/50jS/+va1v/nI8n/30jS/9+2zf/b2tb/29rW/+ts2//H2tb/w0jS/88jyf/XI8n/05HE/9O2zf/LkcT/x2y7/8ORxP/D/7//vyPJ/7+2zf+/2tb/u//f/7eR5P+/I+n/u//f/6+17f+3bPv/u2z7/68j6f+z2vb/r5Hk/6+R5P+r2vb/q2z7/6O17f+n/9//o//f/6ts2/+nbNv/q9rW/6tI0v+zSNL/q7bN/7e2zf+zI8n/tyPJ/6+2zf+rSNL/p5HE/7P/v/+3/7//s5HE/6sjyf+nkcT/p0jS/58jyf+f2tb/m7bN/5va1v+P2tb/g5HE/4ORxP+H/7//f7bN/4sjyf+TI8n/l5HE/5Nsu/+D2rb/l2y7/5tsu/+j/7//q2y7/6/atv+r2rb/s0iy/7NIsv+7SLL/r5Gk/7f/n/+7bZv/v22b/7Palv+vbZv/r/+f/7O2rf+v/5//q5Gk/6e2rf+fI6n/o9qW/6Mjyf/3ts3/97bN//NI0v/z2tb/8/+///f/v//zkcT/8/+///+2zf//bLv/7/+//+uRxP/rbLv/45HE/+dsu//b2rb/1yPJ/+dsu//PI8n/77bN/+tI0v/nSNL/69rW/+cjyf/fSNL/37bN/9va1v/bbNv/x9rW/8NI0v/Pts3/yyPJ/9cjyf/TkcT/05HE/8eRxP/DbLv/w/+//78jyf+/ts3/v9rW/7uR5P+/2tb/s7bN/7dI0v+zI8n/t7bN/7ORxP+z/7//tyPJ/69I0v+r/7//s7bN/6sjyf+rSNL/pyPJ/6eRxP+n/7//q2y7/69su/+j2rb/q9q2/7NIsv+zSLL/u0iy/6+RpP+3/5//u22b/7/alv+vbZv/r/+f/7Ntm/+r2pb/q7at/6/alv+jkaT/o5Gk/6e2rf+ftq3/q2y7/5vatv+XI8n/n0jS/5+2zf+b2tb/m2zb/4cjyf+XSNL/j9rW/4Mjyf+Tts3/i5HE/5O2zf9/kcT/h5HE/4P/v/9/bLv/gyPJ//e2zf/zts3/90jS//Pa1v/72tb/89rW/+va1v+rbNv/q2zb/6f/3/+j/9//r0jy/6Pa9v+fte3/p5Hk/68j6f+rbPv/p9r2/69s+/+vbPv/syPp/7OR5P+zte3/tyPp/7ts+/+7bLv/95HE//v/v///I8n/+yPJ//fa1v/72tb/87bN//NI0v/z2tb/79rW/+tI0v/r2tb/57bN/+sjyf/vI8n/65HE//P/v//zbLv/8/+//+9su//rkcT/62y7/+Mjyf/n2rb/1yPJ/99I0v/fbLv/0/+//9fatv/HI8n/1yPJ/9Pa1v/bbNv/10jS/9dI0v/P2tb/y2zb/8e2zf/L2tb/w5HE/8cjyf/Dts3/v/+//8Nsu//D/7//v9q2/7fa1v+7SLL/u7at/7+RpP+7SLL/s22b/7+RpP+3bZv/s9qW/6ttm/+v/5//r7at/69Isv+vkaT/p9q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DtQPdBtoGvAa1A3QAtQPaBnQAMQG8Bu4DvAZ0AO4DMQHuA70G1AsxAb0G3QbcBtoG3Qa5A9wG1Au9Bu0DCwDUC+0DCwDtA+AL4AvtA8AG4AvABr4G7QO9BjMB7QMzAcAGvQa/BjMBvQbuA78GvgbABsEGvgbBBuELwAYzAcIGwAbCBsEGMwG/BvcDMwH3A8IG7gPwA78G7gN0APADvwbzA/cDvwbwA/MDdADYBvADdADaBtgG8AMuAvMD8APYBi4C2gbxA9gG2gbcBvED2AbXBi4C2AbxA9cG8wMuAtQGLgLXBtYGLgLWBtQG8wPUBsUG9wPzA8UG9wPFBsMGwgb3A8MGxQbUBtEGwgbDBsQGwQbCBsQGwwbFBskGxQbRBskGxAbDBsgGwwbJBsgGwQbEBiwC4QvBBiwC4QssAjQBLALEBscGxAbIBscGNAEsAsYGLALHBsYGNAHGBuIL4gvGBsoG4gvKBu8DxgbHBjUBxgY1AcoGxwbIBvgDxwb4AzUByAa1APgDyAbJBrUA7wPKBvkD7wP5A+ML4wv5A+QL4wvkC3UA+QP6A+QLygbLBvkD+QPLBvoDygY1AcsGywbMBvoDNQHNBssGywbNBswGNQH4A80GzQY2AcwG+AP2A80GzQb2AzYB+AO1APYD9gO2ADYB9gP0A7YAtQD0A/YD9APOBrYAtQD1A/QDyQb1A7UA9APPBs4G9QPPBvQDzwblC84GyQbRBvUDzwbyA+UL8gMPAOUL8gPmCw8A9QMtAs8GLQLyA88G0QYtAvUD0gbmC/IDLQLSBvID0gbQBuYL0QbTBi0C0wbSBi0C1AbTBtEG1AbWBtMG0wbVBtIG1QbQBtIG1gbVBtMG1QbnC9AG1gYvAtUGLwLnC9UG1wYvAtYGLwI3AecL1wbZBi8C2QY3AS8C8QPZBtcG2QboCzcB8QPbBtkG2wboC9kG3AbbBvED2wbRA+gL3Aa6A9sGugPRA9sGuQO6A9wGugPpC9EDuQPeBroD3gbpC7oDMQLeBrkD3gYOAOkLMQLfBt4G3wYOAN4GvQPfBjEC3wbqCw4AvQPgBt8G4AbqC98GvwPgBr0D6gvrCw4AvwO3AOAGOAK3AL8D4AbPA+oLtwDPA+AG6gsyAusLzwMyAuoLMgLQA+sLOALKA7cAyAPKAzgCtwAIB88DygMIB7cAzwMJBzICCAcJB88DMgILB9ADCQcLBzICCwfsC9ADyAPLA8oDyQPLA8gDygPOAwgHywPOA8oDCAcKBwkHzgMKBwgHCQfSAwsHCgfSAwkHCwcMB+wL0gMMBwsHDAc7AewLDAczAjsBMwLtCzsB0gMOBwwHDgczAgwHCgcNB9IDDQcOB9IDNwINBwoHzgM3AgoHMwIPB+0LDwcQB+0LDgcRBzMCEQcPBzMCDQe4AA4HuAARBw4HNwLUAw0H1AO4AA0HDwfYAxAH2APuCxAHEQcTBw8HEwfYAw8HuAASBxEHEgcTBxEH1APWA7gA1gMSB7gA2AMVB+4LFQcSAO4LFQfvCxIAPgEVB9gDEwc+AdgDFgfvCxUHPgEWBxUHFgcXB+8LGAc+ARMHEgcYBxMH1wMWBz4BGAfXAz4B2QMXBxYH1wPZAxYH2QM0AhcHGQcYBxIH1gMZBxIHGgfXAxgHGQcaBxgHNQLZA9cDGgc1AtcD2gM0AtkDNQLaA9kD2gO5ADQCHQe5ANoDHQceB7kA3APaAzUC3AMdB9oDHAc1AhoHHAfcAzUCGwccBxoHGwcaBxkHHwceBx0HHwfeAx4HugAdB9wDugAfBx0HIAfcAxwHIAe6ANwDIwccBxsHIwcgBxwH3QPeAx8H3QPwC94D8QvwC90D8QsTAPAL3wPxC90DIQfdAx8H3wPdAyEHIQcfB7oA8gvfAyEHIgchB7oA8gshByIHIge6ACAHQwHyCyIHNgIiByAHQwEiBzYCNgIgByMH8wtDATYC8ws2AiQHJAc2AiMHJQfzCyQHJAcjByYHJQckB9UD1QMkByYHJgcjBxsH9AslB9UDJgcbB9sD2wMbBxkH2wMZB9YDQgEmB9sD1QMmB0IBFAfbA9YDQgHbAxQHFAfWA9QD9AvVAycHJwfVA0IBEAD0CycHKAdCARQHJwdCASgH0wMUB9QDKAcUB9MD0wPUAzcCEAAnB/UL9QsnBygH3wsQAPULOgEoB9MD9QsoBzoBBwfTAzcCOgHTAwcHBwc3As4DywMHB84D3wv1CwYHBgf1CzoBBAffCwYHBAcGBwUHzAMHB8sDzAM6AQcHBgc6AcwDBQcGB8wDyQPMA8sDBQfMA8kD9gsqB/sD9wv2C/sDFAD2C/cL9wv7AywHFAD4C/YL+AspB/YL9gspByoH+AsrBykHLAf7Ay0HLActB/kL+wMqBy4H+wMuBy0HKwf8AykHKwf6C/wDKQe8ACoHKQf8A7wAKgcvBy4HKge8AC8H+gszB/wD+gv9AzMH/AMyB7wA/AMzBzIHvAAABC8HvAAyBwAE/QNGAjMH/QN2AEYCMwf+AzIHMwdGAv4DMgc0BwAEMgf+AzQHdgA3B0YCdgD7CzcHRgI2B/4DRgI3BzYH/gP/AzQH/gM2B/8D+ws5BzcH+wv8CzkHNwdIAjYHNwc5B0gCNgc6B/8DNgdIAjoH/Av9CzkH/Au+AP0LOQcNBEgCOQf9Cw0ESAI7BzoHSAINBDsHvgD+C/0LvgD/C/4L/Qs8Bw0E/Qv+CzwHDQQ+BzsHDQQ8Bz4H/wsADP4L/ws9BwAM/gtHATwH/gsADEcBPAdOBz4HPAdHAU4HPQc/BwAMPQcBDD8HAAwCDEcBAAw/BwIMRwEPBE4HRwECDA8EAQwQBD8HAQxIARAEPwdNBwIMPwcQBE0HAgwDDA8EAgxNBwMMSAEEDBAESAEFDAQMEAQGDE0HEAQEDAYMTQcHDAMMTQcGDAcMBQwIDAQMBQwRBAgMBAxOAgYMBAwIDE4CBgxPBwcMBgxOAk8HEQRBBwgMEQQJDEEHCAwKDE4CCAxBBwoMTgITBE8HTgIKDBMECQwLDEEHCQwVAAsMQQdoBwoMQQcLDGgHCgxbBxMECgxoB1sHTwcTBBIEEwRbB08CEwRPAhIETwcSBE0CBwxPB00CBwxNAlEHAwwHDFEHTQISBFQHAwxRBwwMDwQDDAwMUQdNAlIHTQJUB1IHDAxRB1MHUQdSB1MHDwQMDFAHTgcPBFAHDAxTBw0MUAcMDA0MTgdQBw4EPgdOBw4EUAcNDEkBDgRQB0kBPgcOBEoCOwc+B0oCDgRJAVcHSgIOBFcHOwdKAncAOgc7B3cASgJXB1gHdwBKAlgHOgd3AEAH/wM6B0AHdwBYB0MHQAd3AEMH/wNAB0YBNAf/A0YBQAdDBwMERgFABwMENAdGATUHAAQ0BzUHRgEDBEIHNQdGAUIHAAQ1BzEHLwcABDEHNQdCBzgHMQc1BzgHLwcxB0MCLgcvB0MCMQc4BwYEQwIxBwYELgdDAgEELQcuBwEEQwIGBDAHAQRDAjAHLQcBBAIE+QstBwIE+QsCBEQBAgQBBEQCAQQwB0QCRAECBAQEAgREAgQERAEEBAUEBQQEBEsHBQRLBw4MBAREAkoHBARKB0sHRAIwBwgERAIIBEoHMAdFAQgEMAcGBEUBDgxLB0wHDgxMBw8MDwxMBxAMDwwQDBYATAdFAhAMSwcJBEwHTAcJBEUCSwdKBwkECQQRDEUCSgdJBwkECQRJBxEMSgcIBEkHSQd4ABEMCAQKBEkHSQcKBHgACARFAQoECgQSDHgACgRIBxIMRQFIBwoESAdHBxIMRQEHBEgHBgQHBEUBBgQ4BwcESAdHAkcHBwRHAkgHRwITDEcHOAdFBwcEBwRFB0cCOAdCB0UHRwIUDBMMRQcUDEcCFAy9ABMMQgdEB0UHRQdEBxQMQgcDBEQHFAwVDL0ARAcVDBQMFQwWDL0AAwRJAkQHRAdJAhUMAwRDB0kCFQxGBxYMSQJGBxUMRgcLBBYMQwcXDEkCSQIXDEYHQwdYBxcMRgcYDAsEFwwYDEYHGAwZDAsEWAdLAhcMFwxLAhgMWAdXB0sCGAwaDBkMSwIaDBgMGgxKARkMVwcbDEsCSwIbDBoMVwdJARsMGgwMBEoBGwwMBBoMDAQcDEoBSQFWBxsMGwxWBwwESQENDFYHDARMAhwMVgdMAgwETAJZBxwMDQwdDFYHVgcdDEwCDQxTBx0MTAIeDFkHHQweDEwCHgwfDFkHUwdVBx0MHQxVBx4MUwdSB1UHHgwgDB8MVQcgDB4MIAwXAB8MUgdLAVUHVQdLASAMUgdUB0sBIAwhDBcASwEhDCAMVAciDEsBSwEiDCEMVAcUBCIMEgQUBFQHEgRPAhQEFARcByIMIgxaByEMIgxcB1oHFARMAVwHTwJMARQEIQxaByMMIQwjDBcATwIXBEwBWwcXBE8CTAFdB1wHWwdmBxcEaAdmB1sHFwReB0wBTAFeB10HZgd5ABcEFwR5AF4HaAcVBGYHCwwVBGgHZgdnB3kAFQRnB2YHCwwkDBUEFQAkDAsMFQRpB2cHJAxpBxUEFQAlDCQMJgwlDBUAJAxsB2kHJQxsByQMJgxtByUMGARtByYMJQxgAmwHbQdgAiUMGAQnDG0HKAwnDBgEbQcpDGACJwwpDG0HKAwqDCcMVAEqDCgMJwwaBCkMKgwaBCcMVAE9BCoMKww9BFQBKgwsDBoEPQQsDCoMKwwtDD0EbwctDCsMPQRTASwMLQxTAT0EbwcuDC0MLwwuDG8HLQwwDFMBLgwwDC0MLwyPBy4MwACPBy8MwAAxDI8HjwdhAi4MLgxhAjAMMQwyDI8HjwcyDGECMQwzDDIMMwyQBzIMMwx6AJAHMgyRB2ECMgyQB5EHYQKOBzAMYQKRB44HMAyOBzQMMAw0DFMBegCSB5AHegA8BJIHkAc7BJEHkAeSBzsEkQeTB44HkQc7BJMHjgc1DDQMjgeTBzUMPARiApIHPAQ2DGICkgedBzsEkgdiAp0HOwRVAZMHOwSdB1UBkwc3DDUMkwdVATcMNgw4DGICNgycBzgMYgJkAp0HYgI4DGQCnQc5DFUBnQdkAjkMVQGZBzcMVQE5DJkHnAebBzgMnAc6DJsHOgw7DJsHOgwbADsMmwc7DDoEOAybBzwMmwc6BDwMOAw8DGQCPAw6BD0MZAI8DD4MPAw9DD4MZAI+DDkMPgw9DFYBOQw+DDkEPgxWATkEOQw5BJkHOQRWAT8MOQQ/DGMCmQc5BGMCYwI/DJoHmQdjAkAMNwyZB0AMYwKaB0EMQAxjAkEMQQyaB0IMNwxADJcHNQw3DJcHQAxBDJgHlwdADJgHQQxCDEMMmAdBDEMMQwxCDBoANQyXB5QHNAw1DJQHlweYB8EAlAeXB8EAmAdDDDgEwQCYBzgEQwwaAEQMOARDDEQMNAyUB0UMUwE0DEUMUwFFDCwMRQyUB5UHlAfBAJUHLAxFDI0HRQyVB40HLAyNBxoEwQA4BJYHlQfBAJYHlgc4BEYMOAREDEYMlQeWBzcEjQeVBzcEGgSNB4wHjQc3BIwHGgSMBykMNwSWBzYElgdGDDYEjAc3BFIBNwQ2BFIBKQyMB24HjAdSAW4HKQxuB2ACYAJuBxkEYAIZBGwHbgdSAXEHbgdxBxkEUgE2BMIAUgHCAHEHNgSKB8IANgRGDIoHbAcZBF8CbAdfAmkHGQRxB3AHGQRwB18CcQfCADUEcQc1BHAHwgCJBzUEwgCKB4kHaQdfAmoHaQdqB2cHXwJwBxwEXwIcBGoHcAc1BHIHcAdyBxwENQRRAXIHNQSJB1EBZwdqB78AZwe/AHkAagccBGsHagdrB78AHARyBx0EHAQdBGsHcgcfBB0EcgdRAR8EeQC/AGQHeQBkB14HvwBrB1ECvwBRAmQHawcdBHMHawdzB1ECHQR0B3MHHQQfBHQHXgdkBxsEXgcbBF0HZAdRAmUHZAdlBxsEUQJzBx4EUQIeBGUHcwd1Bx4Ecwd0B3UHZQceBHYHGwRlB1ACZQd2B1ACHgRSAnYHHgR1B1ICGwRQAmAHXQcbBGAHUAJ2B30HXQdgBxYEXAddBxYEXAcWBFoHYAdQAk0BUAJ9B00BFgRgB2IHYAdNAWIHWgcWBF8HFgRiB18HWgdfByMMdgd7B30HdgdSAnsHTQF9ByYEYgdNAbcHTQEmBLcHXwdiB2MHYge3B2MHXwdjB0cMIwxfB0cMfQdIDCYEfQd7B0gMIwxHDCEEFwAjDCEEFwAhBEkMSQwhBEoMSQxKDGEHIQRHDFMCIQRTAkoMRwyrB1MCRwxjB6sHYQdKDEsMYQdLDEwMSgxTAk0MSgxNDEsMUwKrB6wHUwKsB00MYwe2B6sHYwe3B7YHqwdVAqwHqwe2B1UCtwe1B7YHtwcmBLUHtgdODFUCtge1B04MJgRUArUHJgRIDFQCtQdPDE4MtQdUAk8MVQJODFAMTgxPDE8BTgxPAVAMVQJQDFEMrAdVAlEMrAdRDFIMTQysB1IMUQxQDLQHTQxSDMMASwxNDMMAUgxRDLIHUQy0B7IHwwBSDFMMUgyyB1MMSwzDACIETAxLDCIETAwiBE4BIgTDAFQMwwBTDFQMTgEiBFUMIgRUDFUMTgFVDFYMVgxVDFcMVgxXDCMEVQxUDCQEVQwkBFcMVAxTDK0HVAytByQEUwxWAq0HUwyyB1YCIwRXDK4HIwSuB1gMWAyuB1kMWAxZDMQArgevB1kMVwxaDK4HrgdaDK8HVwwkBFoMWgxbDK8HJAQlBFoMWgwlBFsMJAStByUEJQR7AFsMrQewByUEJQSwB3sArQdWArAHsAdcDHsAsAexB1wMVgKxB7AHsQdXAlwMVgKzB7EHsgezB1YCsQddDFcCswddDLEHXQxeDFcCsge0B7MHXQyAB14MgAcZAF4MgAdfDBkAswdYAl0MWAKAB10MtAdYArMHYAxfDIAHWAJgDIAHYAx/B18MtAdhDFgCYQxgDFgCUAxhDLQHUAxPAWEMYQxiDGAMYgx/B2AMTwFiDGEMYgxjDH8HTwEnBGIMJwRjDGIMTwwnBE8BJwRQAWMMTwxkDCcEZAxQAScEVAJkDE8MZAxlDFABVAJmDGQMZgxlDGQMSAxmDFQCZgwoBGUMSAx8B2YMfAcoBGYMewd8B0gMfAdnDCgEewdoDHwHaAxnDHwHUgJoDHsHaAwYAGcMUgJpDGgMaQwYAGgMdQdpDFICaQxqDBgAdQd3B2kMdwdqDGkMdAd3B3UHagxrDBgAdAcgBHcHHwQgBHQHdwdZAmoMIARZAncHagx6B2sMWQJ6B2oMegcpBGsMHwR4ByAEUQF4Bx8EIAR5B1kCeAd5ByAEWQJsDHoHeQdsDFkCegdtDCkEbAxtDHoHbQxuDCkEUQGHB3gHiQeHB1EBeAcrBHkHhwcrBHgHeQeFB2wMKwSFB3kHbAwqBG0MhQcqBGwMbQxvDG4MKgRvDG0MbwxYAW4Mbwx+B1gBfgdwDFgBKgRxDG8McQx+B28MhQeEByoEhAdxDCoEWwKEB4UHKwRbAoUHfgctBHAMLQSBB3AMcQwsBH4HLAQtBH4HhAdyDHEMcgwsBHEMWwKiB4QHogdyDIQHLQRzDIEHcwx0DIEHLAR1DC0EdQxzDC0Ecgx2DCwEdgx1DCwEogfFAHIMxQB2DHIMcwx3DHQMdwwdAHQMdwx4DB0Aggd3DHMMdQyCB3MMLgR4DHcMggcuBHcMLgR5DHgMgweCB3UMdgyDB3UMXQIuBIIHgwddAoIHhgd5DC4EXQKGBy4EhgcvBHkMegyDB3YMxQB6DHYMpQddAoMHegylB4MHqAeGB10CpQeoB10CMAQvBIYHqAcwBIYHMARZAS8EMQRZATAEMQR7DFkBpwcwBKgHpwcxBDAEfAyoB6UHfAynB6gHfQx8DKUHfQylB3oMfgx7DDEEfgypB3sMXgIxBKcHXgJ+DDEEfwynB3wMfwxeAqcHpgd8DH0Mpgd/DHwMqgepB34MqgeADKkHgQyADKoHgQwcAIAMMgSBDKoHggyqB34MMgSqB4IMggx+DF4CgwwyBIIMhAyCDF4CgwyCDIQMhAxeAn8MVwGDDIQMXAKEDH8MVwGEDFwCXAJ/DKYHhQxXAVwChQxcAqAHoAdcAqYHngeFDKAHoAemB4YMngegB4cMhwygB4YMhgymB30MiAyeB4cMhgx9DKQHpAd9DHoMpAd6DMUAMwSGDKQHhwyGDDMEowekB8UAMwSkB6MHowfFAKIHiAyHDIkMiQyHDDMEGgCIDIkMnwczBKMHiQwzBJ8HoQejB6IHnwejB6EHoQeiB1sCGgCJDIoMigyJDJ8HRAwaAIoMWgKfB6EHigyfB1oCiAehB1sCWgKhB4gHiAdbAisEhweIBysERAyKDIsHiweKDFoCRgxEDIsHRgyLB4oHNASIB4cHNARaAogHiwdaAjQEigeLBzQEiQc0BIcHigc0BIkHiwy5Bz4EjAyLDD4EHgCLDIwMjAw+BLoHHgCNDIsMjQy4B4sMiwy4B7kHjQxbAbgHugc+BLwHuge8B70HPgS5B74HPgS+B7wHWwFpArgHWwG7B2kCuAc/BLkHuAdpAj8EuQdJBL4HuQc/BEkEuwe/B2kCuwdABL8HaQLABz8EaQK/B8AHPwTIAEkEPwTAB8gAQARBBL8HQARcAUEEvwdqAsAHvwdBBGoCwAdNBMgAwAdqAk0EXAHUB0EEXAGODNQHQQTSB2oCQQTUB9IHagLQB00EagLSB9AHjgzVB9QHjgyPDNUH1AdsAtIH1AfVB2wC0gfTB9AH0gdsAtMHjwyQDNUHjwx9AJAM1QdPBGwC1QeQDE8EbALWB9MHbAJPBNYHfQDXB5AMfQCRDNcHkAySDE8EkAzXB5IMTwRRBNYHTwSSDFEEkQyTDNcHkQzYB5MM1wdeAZIM1weTDF4BkgzgB1EEkgxeAeAH2AeUDJMM2AeVDJQMkwyWDF4BkwyUDJYMXgHiB+AHXgGWDOIHlQxTBJQMlQxwAlMElAxvApYMlAxTBG8ClgyXDOIHlgxvApcMcAKYDFMEcAKZDJgMUwSaDG8CUwSYDJoMbwKbDJcMbwKaDJsMmQycDJgMmQxUBJwMmAxzApoMmAycDHMCmgzjB5sMmgxzAuMHVATmB5wMVASdDOYHnAyeDHMCnAzmB54McwJXBOMHcwKeDFcEnQyfDOYHnQwfAJ8M5gfoB54M5gefDOgHngznB1cEngzoB+cH4wdXBOUHVwTnB1kEVwRZBOUH4wflB+QHmwzjB+QHmwzkB+EHlwybDOEH5AflB1YElwzhB6AM4geXDKAM4QfkB8oA5AdWBMoAoAzhB94H4QfKAN4H4gegDN8H4AfiB98HoAzeB6EM3wegDKEM4AffB3ECUQTgB3EC3wehDFIEcQLfB1IEUQRxAtkH1gdRBNkHcQJSBNsH2QdxAtsH1gfZB04E0wfWB04E2QfbB9oHTgTZB9oH0wdOBM8H0AfTB88HTgTaB84HzwdOBM4H0AfPB2sCTQTQB2sCzwfOB8kAawLPB8kATQRrAkwEyABNBEwEawLJAMsHTARrAssHyABMBEoESQTIAEoETATLB0sESgRMBEsESQRKBEgEvgdJBEgESgRLBF0BSARKBF0BvgdIBFoBvAe+B1oBSARdAUYEWgFIBEYEvAdaAUIEvQe8B0IEvQdCBMYAQgRaAcEHWgFGBMEHxgBCBEMEQgTBB0MExgBDBGUCZQJDBMQHZQLEB6IMQwTBB8MHQwTDB8QHwQdGBGYCwQdmAsMHRgTCB2YCRgRdAcIHogzEB8UHogzFB6MMowzFB6QMowykDCAAxQelDKQMxAfGB8UHxQfGB6UMxAfDB8YHxgfHAKUMwwdEBMYHxgdEBMcAwwdmAkQERARnAscAZgJFBEQERARFBGcCZgLCB0UERQTHB2cCRQTIB8cHwgfIB0UEyAfJB8cHwgdHBMgHXQFHBMIHXQFLBEcEyAdoAskHRwRoAsgHaAKmDMkHSwTKB0cERwTKB2gCSwTLB8oHaAKnDKYMygenDGgCpwx8AKYMywfMB8oHygfMB6cMywfJAMwHpwyoDHwAzAeoDKcMqAypDHwAyQBtAswHzAdtAqgMyQDOB20CqAzNB6kMbQLNB6gMzQdQBKkMzgeqDG0CbQKqDM0HzgfaB6oMzQerDFAEqgyrDM0HqwysDFAE2gduAqoMqgxuAqsM2gfbB24CqwytDKwMbgKtDKsMrQxfAawM2weuDG4CbgKuDK0M2wdSBK4MrQxyAl8BrgxyAq0McgKvDF8BUgTcB64MrgzcB3ICUgShDNwHcgKwDK8M3AewDHICsAzRB68MoQyxDNwH3AexDLAMoQzeB7EMsAyyDNEHsQyyDLAMsgyzDNEH3gfdB7EMsQzdB7IM3gfKAN0HsgxVBLMM3QdVBLIMVQQhALMMygC0DN0H3Qe0DFUEygBWBLQMVQS1DCEAtAy1DFUEVgTpB7QMtAzpB7UMVgRaBOkH5QdaBFYE5QdZBFoEWgTrB+kH6QfsB7UM6QfrB+wHWgR0AusHWQR0AloEtQzsB7YMtQy2DCEAWQTLAHQC5wfLAFkEdALtB+sH5wfqB8sA6AfqB+cHywDwB3QCdALwB+0H6gdbBMsAywBbBPAH6AdYBOoHnwxYBOgH6gfyB1sEWATyB+oHnwy3DFgEHwC3DJ8MWAT0B/IHtwz0B1gEHwC4DLcMuQy4DB8Atwz1B/QHuAz1B7cMuQz2B7gMdwT2B7kMuAx/AvUH9gd/ArgMdwS6DPYHuwy6DHcE9ge8DH8Cugy8DPYHuwy9DLoMgQK9DLsMugxiAbwMvQxiAboMgQJ4BL0Mvgx4BIECvQy/DGIBeAS/DL0MvgzADHgE+AfADL4MeASAAr8MwAyAAngE+AfBDMAMwgzBDPgHwAzDDIACwQzDDMAMwgwcCMEMfgAcCMIMfgDEDBwIHAjOAMEMwQzOAMMMxAzFDBwIHAjFDM4AxAzGDMUMxgx5BMUMxgxjAXkExQwdCM4AxQx5BB0IzgAbCMMMzgAdCBsIwwwbCMcMwwzHDIACYwEeCHkEYwF6BB4IeQSCAh0IeQQeCIICHQgfCBsIHQiCAh8IGwjIDMcMGwgfCMgMegQhCB4IegQiCCEIHggjCIICHgghCCMIggJ7BB8IggIjCHsEHwjJDMgMHwh7BMkMIgjKDCEIIghkAcoMIQiDAiMIIQjKDIMCIwjLDHsEIwiDAssMewQmCMkMewTLDCYIZAEkCMoMZAHMDCQIzAzNDCQIzAwjAM0MJAjNDHwEygwkCM4MJAh8BM4MygzODIMCzgx8BM8MgwLODNAMzgzPDNAMgwLQDMsM0AzPDGUBywzQDIQC0AxlAYQCywyEAiYIhAJlAdEMhALRDNIMJgiEAtIM0gzRDCUIJgjSDNMMyQwmCNMM0gwlCNQM0wzSDNQM1AwlCNUMyQzTDCcIyAzJDCcI0wzUDCgIJwjTDCgI1AzVDH0EKAjUDH0EfQTVDCIAyAwnCCAIxwzIDCAIJwgoCGYBIAgnCGYBKAh9BNYMZgEoCNYMfQQiANcM1gx9BNcMxwwgCNgMgALHDNgMgALYDL8M2AwgCCkIIAhmASkIvwzYDBoI2AwpCBoIvwwaCGIBZgHWDHMEKQhmAXMEcwTWDCoI1gzXDCoIKQhzBBkIGggpCBkIYgEaCBgIGggZCBgIYgEYCLwMGQhzBHIEcwQqCHIEGAgZCHQEGQhyBHQEvAwYCPcHGAh0BPcHvAz3B38CfwL3B2ABfwJgAfUH9wd0BPoH9wf6B2ABdARyBGcBdARnAfoHcgQXCGcBcgQqCBcI9QdgAXYE9Qd2BPQHYAH6B/kHYAH5B3YE+gdnAcwA+gfMAPkHZwEWCMwAZwEXCBYI9Ad2BH4E9Ad+BPIHdgT5B30CdgR9An4E+QfMAHUE+Qd1BH0CzAD7B3UEzAAWCPsH8gd+BIIE8geCBFsEfgR9AoAEfgSABIIEfQJ1BH8EfQJ/BIAEdQRoAX8EdQT7B2gBWwSCBGEBWwRhAfAHggSABHwCggR8AmEBgAR/BIEEgASBBHwCfwT8B4EEfwRoAfwH8AdhAVwE8AdcBO0HYQF8Av4HYQH+B1wEfAKBBGcEfAJnBP4HgQT9B2cEgQT8B/0H/gdnBP8HXAT+B3cC/gf/B3cCZwTNAP8HZwT9B80AXAR3AvEH7QdcBPEHdwL/BwYI7QfxB3UC6wftB3UC6wd1AuwH8Qd3AmYEdwIGCGYEdQLxB/MH8QdmBPMH7Ad1Al0EdQLzB10E7AddBLYM/wcECAYI/wfNAAQIZgQGCGUE8wdmBDQIZgRlBDQIXQTzB2EE8wc0CGEEXQRhBNkMtgxdBNkMBgjaDGUEBggECNoMtgzZDO4HIQC2DO4HIQDuB9sM2wzuB9wM2wzcDO8H7gfZDGsB7gdrAdwM2Qw7CGsB2QxhBDsI7wfcDN0M7wfdDN4M3AxrAd8M3AzfDN0MawE7CDwIawE8CN8MYQQ2CDsIYQQ0CDYIOwg6CDwIOwg2CDoINAg1CDYINAhlBDUINgh/ADoINgg1CH8AZQRkBDUIZQTaDGQENQjgDH8ANQhkBOAMOgh/AOEMfwDgDDcIfwA3COEMOgjhDOIMPAg6COIMPAjiDOMM3ww8COMM4gzhDDkI3wzjDHYC3QzfDHYC4wziDD0I4gw5CD0IdgLjDOQM4ww9COQM3Qx2Al4E3gzdDF4E3gxeBGwBXgR2AuUMdgLkDOUMbAFeBOYMXgTlDOYMbAHmDOcM5wzmDOgM5wzoDF8E5gzlDGAE5gxgBOgM5QzkDD8I5Qw/CGAE5Aw+CD8I5Aw9CD4IXwToDEIIXwRCCOkM6QxCCOoM6QzqDIAAQghDCOoM6AzrDEIIQgjrDEMI6AxgBOsM6wxBCEMIYARtAesM6wxtAUEIYAQ/CG0BbQF4AkEIPwhACG0BbQFACHgCPwg+CEAIQAjRAHgCQAgICNEAPggICEAICAjsDNEAPgh5AggIPQh5Aj4ICAjtDOwMeQLtDAgI7QzuDOwMPQg5CHkC7QwHCO4MBwglAO4MBwjvDCUAeQI4CO0MOAgHCO0MOQg4CHkC8AzvDAcIOAjwDAcI8Ax6Au8MOQjxDDgI8QzwDDgI4QzxDDkI4Qw3CPEM8QzyDPAM8gx6AvAMNwjyDPEM8gzzDHoCNwh7AvIMewLzDPIM4Ax7AjcIewJiBPMM4Az0DHsC9AxiBHsCZAT0DOAM9Az1DGIEZAT2DPQM9gz1DPQM2gz2DGQE9gxjBPUM2gwFCPYMBQhjBPYMBAgFCNoMBQj3DGMEBAj4DAUI+Az3DAUIzQD4DAQI+AwkAPcMzQD5DPgM+QwkAPgM/Qf5DM0A+Qz6DCQA/QcACPkMAAj6DPkM/AcACP0H+gz7DCQA/AeGAgAIaAGGAvwHAAiIAvoMhgKIAgAI+gwDCPsMiAIDCPoMAwhoBPsMaAEBCIYC+wcBCGgBhgICCIgCAQgCCIYCiAL8DAMIAgj8DIgCAwj9DGgE/Az9DAMI/Qz+DGgE+wcTCAEIFggTCPsHAQhpBAIIEwhpBAEIAggQCPwMaQQQCAII/AxqAf0MEAhqAfwM/Qz/DP4MagH/DP0M/wxqBP4M/wyMAmoEjAIADWoEagEBDf8MAQ2MAv8MEAgSCGoBEggBDWoBFAgSCBAIaQQUCBAIjAICDQANAg2LAgANAQ0KCIwCCggCDYwCEghrBAENawQKCAENFAiNAhIIjQJrBBIIAg0DDYsCAw0EDYsCCggFDQINBQ0DDQINawQGDQoIBg0FDQoIjQIvCGsELwgGDWsEAw0JCAQNCQgmAAQNCQgHDSYACwgJCAMNBQ0LCAMNCA0HDQkICwgIDQkICA0JDQcNMAgLCAUNBg0wCAUNiQIIDQsIMAiJAgsIbAQJDQgNiQJsBAgNbASKAgkNCg0wCAYNLwgKDQYNMQiJAjAICg0xCDAIMwhsBIkCMQgzCIkCDAiKAmwEMwgMCGwEDAjQAIoCbQTQAAwIbQQNCNAAMggMCDMIMghtBAwICw0zCDEICw0yCDMIDA0LDTEIDA0xCAoNDQ0NCG0EDQ0PCA0IhwJtBDIIhwINDW0EDg0yCAsNDg2HAjIIhQILDQwNhQIODQsNDggPCA0NDggPDQ8IEA0PDQ4IEA0nAA8NbgQQDQ4IEQ0OCA0NbgQOCBENEQ0NDYcCEg1uBBENEw0RDYcCEg0RDRMNEw2HAg4NaQESDRMNbwQTDQ4NaQETDW8EbwQODYUCFA1pAW8EFA1vBBUNFQ1vBIUCEQgUDRUNFQ2FAhYNEQgVDRcNFw0VDRYNFg2FAgwNGA0RCBcNFg0MDS4ILggMDQoNLggKDS8IzwAWDS4IFw0WDc8ALQguCC8IzwAuCC0ILQgvCI0CGA0XDSwILAgXDc8AIgAYDSwIGQ3PAC0ILAjPABkNcAQtCI0CGQ0tCHAEcASNAhQIIgAsCBoNGg0sCBkN1wwiABoNcQQZDXAEGg0ZDXEEFQhwBBQIcQRwBBUIFQgUCGkEEwgVCGkE1wwaDSsIKwgaDXEEKgjXDCsIKggrCBcIfgIVCBMIfgJxBBUIKwhxBH4CFwgrCH4CFgh+AhMIFwh+AhYIGw1FCIMEHA0bDYMEKAAbDRwNHA2DBEYIKAAdDRsNHQ1ECBsNGw1ECEUIHQ1vAUQIRgiDBEgIRghICEkIgwRFCEoIgwRKCEgIbwGSAkQIbwFHCJICRAiEBEUIRAiSAoQERQiOBEoIRQiEBI4ERwhLCJICRwiFBEsIkgJMCIQEkgJLCEwIhATUAI4EhARMCNQAhQSGBEsIhQRwAYYESwiTAkwISwiGBJMCTAiSBNQATAiTApIEcAFfCIYEcAEeDV8IhgRdCJMChgRfCF0IkwJcCJIEkwJdCFwIHg1gCF8IHg0fDWAIXwiVAl0IXwhgCJUCXQheCFwIXQiVAl4IHw0gDWAIHw2CACANYAiUBJUCYAggDZQElQJhCF4IlQKUBGEIggBiCCANggAhDWIIIA0iDZQEIA1iCCINlASWBGEIlAQiDZYEIQ0jDWIIIQ1jCCMNYghyASINYggjDXIBIg1uCJYEIg1yAW4IYwgkDSMNYwglDSQNIw0mDXIBIw0kDSYNcgFvCG4IcgEmDW8IJQ2ZBCQNJQ2ZApkEJA2YAiYNJA2ZBJgCJg0nDW8IJg2YAicNmQIoDZkEmQIpDSgNmQQqDZgCmQQoDSoNmAIrDScNmAIqDSsNKQ0sDSgNKQ2aBCwNKA2cAioNKA0sDZwCKg1wCCsNKg2cAnAImgRxCCwNmgQtDXEILA0uDZwCLA1xCC4NnAKcBHAInAIuDZwELQ0vDXEILQ0rAC8NcQh2CC4NcQgvDXYILg11CJwELg12CHUIcAicBJsEnAR1CJ8EnASfBJsEcAibBNYAKw1wCNYAKw3WAG0IJw0rDW0I1gCbBHIIJw1tCDANbwgnDTANbQjWAGwI1gByCGwIMA1tCGoIbQhsCGoIbwgwDWsIbghvCGsIMA1qCDENawgwDTENbghrCJoClgRuCJoCawgxDZgEmgJrCJgElgSaAmQIYQiWBGQImgKYBGYIZAiaAmYIYQhkCJMEXghhCJMEZAhmCGUIkwRkCGUIXgiTBFsIXAheCFsIkwRlCFoIWwiTBFoIXAhbCJQCkgRcCJQCWwhaCNUAlAJbCNUAkgSUApEE1ACSBJEElALVAFcIkQSUAlcI1ACRBI8EjgTUAI8EkQRXCJAEjwSRBJAEjgSPBI0ESgiOBI0EjwSQBHEBjQSPBHEBSgiNBG4BSAhKCG4BjQRxAYsEbgGNBIsESAhuAYcESQhICIcESQiHBNIAhwRuAU0IbgGLBE0I0gCHBIgEhwRNCIgE0gCIBI4CjgKIBFAIjgJQCDINiARNCE8IiARPCFAITQiLBJACTQiQAk8IiwROCJACiwRxAU4IMg1QCFEIMg1RCDMNMw1RCDQNMw00DSoAUQg1DTQNUAhSCFEIUQhSCDUNUAhPCFIIUgiPAjUNTwiJBFIIUgiJBI8CTwiQAokEiQTTAI8CkAKKBIkEiQSKBNMAkAJOCIoEigRTCNMAigRUCFMITghUCIoEVAhVCFMITgiMBFQIcQGMBE4IcQGQBIwEVAiRAlUIjASRAlQIkQI2DVUIkARWCIwEjARWCJECkARXCFYIkQI3DTYNVgg3DZECNw2BADYNVwhYCFYIVghYCDcNVwjVAFgINw04DYEAWAg4DTcNOA05DYEA1QCWAlgIWAiWAjgN1QBaCJYCOA1ZCDkNlgJZCDgNWQiVBDkNWgg6DZYClgI6DVkIWghlCDoNWQg7DZUEOg07DVkIOw08DZUEZQiXAjoNOg2XAjsNZQhmCJcCOw09DTwNlwI9DTsNPQ1zATwNZgg+DZcClwI+DT0NZgiYBD4NPQ2XBHMBPg2XBD0NlwQ/DXMBmARnCD4NPg1nCJcEmAQxDWcIlwSbAj8NZwibApcEmwJoCD8NMQ1ADWcIZwhADZsCMQ1qCEANmwJBDWgIQA1BDZsCQQ1CDWgIaghpCEANQA1pCEENaghsCGkIQQ1DDUINaQhDDUENQw0pAEINbAidAmkIaQidAkMNbAhyCJ0CQw1EDSkAnQJEDUMNcghzCJ0CnQJzCEQNcgidBHMImwSdBHIImwSfBJ0EnQR0CHMIcwh8CEQNcwh0CHwInQSgBHQInwSgBJ0ERA18CEUNRA1FDSkAnwR0AaAEdQh0AZ8EoAR6CHQIdQh3CHQBdgh3CHUIdAF4CKAEoAR4CHoIdwihBHQBdAGhBHgIdgieBHcILw2eBHYIdwh5CKEEngR5CHcILw1GDZ4EKwBGDS8NngSYCHkIRg2YCJ4EKwBHDUYNSA1HDSsARg2ZCJgIRw2ZCEYNSA2aCEcNvgSaCEgNRw2pApkImgipAkcNvgRJDZoISg1JDb4EmghLDakCSQ1LDZoISg1MDUkNqwJMDUoNSQ13AUsNTA13AUkNqwK/BEwNTQ2/BKsCTA1ODXcBvwRODUwNTQ1PDb8EsghPDU0NvwSqAk4NTw2qAr8EsghQDU8NUQ1QDbIITw1SDaoCUA1SDU8NUQ2zCFANhQCzCFENhQBTDbMIswjYAFANUA3YAFINUw1UDbMIswhUDdgAUw1VDVQNVQ3ABFQNVQ14AcAEVA21CNgAVA3ABLUI2AC0CFIN2AC1CLQIUg20CFYNUg1WDaoCeAG2CMAEeAHBBLYIwASsArUIwAS2CKwCtQi3CLQItQisArcItAhXDVYNtAi3CFcNwQS5CLYIwQS6CLkItgi7CKwCtgi5CLsIrALCBLcIrAK7CMIEtwhYDVcNtwjCBFgNughZDbkIugh5AVkNuQitArsIuQhZDa0CuwhaDcIEuwitAloNwgS+CFgNwgRaDb4IeQG8CFkNeQFbDbwIWw1cDbwIWw0tAFwNvAhcDcMEWQ28CF0NvAjDBF0NWQ1dDa0CXQ3DBF4NrQJdDV8NXQ1eDV8NrQJfDVoNXw1eDXoBWg1fDa4CXw16Aa4CWg2uAr4IrgJ6AWANrgJgDWENvgiuAmENYQ1gDb0IvghhDWINWA2+CGINYQ29CGMNYg1hDWMNYw29CGQNWA1iDb8IVw1YDb8IYg1jDcAIvwhiDcAIYw1kDcQEwAhjDcQExARkDSwAVw2/CLgIVg1XDbgIvwjACHsBuAi/CHsBwAjEBGUNewHACGUNxAQsAGYNZQ3EBGYNVg24CGcNqgJWDWcNqgJnDU4NZw24CMEIuAh7AcEITg1nDbEIZw3BCLEITg2xCHcBewFlDboEwQh7AboEugRlDa4IZQ1mDa4IwQi6BK8IsQjBCK8IdwGxCLAIsQivCLAIdwGwCEsNrwi6BLkEugSuCLkEsAivCLsErwi5BLsESw2wCJwIsAi7BJwISw2cCKkCqQKcCHUBqQJ1AZkInAi7BJ0InAidCHUBuwS5BHwBuwR8AZ0IuQSsCHwBuQSuCKwImQh1Ab0EmQi9BJgIdQGdCJsIdQGbCL0EnQh8AYMAnQiDAJsIfAGfCIMAfAGsCJ8ImAi9BMUEmAjFBHkIvQSbCKcCvQSnAsUEmwiDALwEmwi8BKcCgwCeCLwEgwCfCJ4IeQjFBMkEeQjJBKEExQSnAscExQTHBMkEpwK8BMYEpwLGBMcEvAR9AcYEvASeCH0BoQTJBHYBoQR2AXgIyQTHBKYCyQSmAnYBxwTGBMgExwTIBKYCxgSXCMgExgR9AZcIeAh2AaIEeAiiBHoIdgGmApMIdgGTCKIEpgLIBK4EpgKuBJMIyASWCK4EyASXCJYIkwiuBJQIogSTCKUCkwiUCKUCrgTXAJQIrgSWCNcAogSlAnsIegiiBHsIpQKUCJIIegh7CJ4CdAh6CJ4CdAieAnwIewilAq0EpQKSCK0EngJ7CH0IewitBH0IfAieAqMEngJ9CKMEfAijBEUNlAiVCJIIlAjXAJUIrQSSCKwEfQitBJEIrQSsBJEIowR9CKYEfQiRCKYEowSmBGgNRQ2jBGgNkghpDawEkgiVCGkNRQ1oDX4IKQBFDX4IKQB+CGoNag1+CGsNag1rDX8IfghoDYEBfgiBAWsNaA2ICIEBaA2mBIgIfwhrDWwNfwhsDW0Naw2BAW4Naw1uDWwNgQGICIUIgQGFCG4NpgSLCIgIpgSRCIsIiAiJCIUIiAiLCIkIkQiQCIsIkQisBJAIiwiAAYkIiwiQCIABrASrBJAIrARpDasEkAhvDYABkAirBG8NiQiAAXANgAFvDY4IgAGOCHANiQhwDXENhQiJCHENhQhxDXINbg2FCHINcQ1wDYoIbg1yDZ8CbA1uDZ8Ccg1xDYcIcQ2KCIcInwJyDXMNcg2HCHMNbA2fAqQEbQ1sDaQEbQ2kBIIBpASfAnQNnwJzDXQNggGkBHUNpAR0DXUNggF1DXYNdg11DXcNdg13DaUEdQ10DaACdQ2gAncNdA1zDYMIdA2DCKACcw2GCIMIcw2HCIYIpQR3DYAIpQSACHgNeA2ACHkNeA15DYQAgAiBCHkNdw16DYAIgAh6DYEIdw2gAnoNeg2CCIEIoAKnBHoNeg2nBIIIoAKDCKcEpwTZAIIIgwiECKcEpwSECNkAgwiGCIQIhAiiAtkAhAioBKIChgioBIQIqAR7DaIChgihAqgEhwihAoYIqAR8DXsNoQJ8DagEfA19DXsNhwiKCKECfA2NCH0NjQgvAH0NjQh+DS8AoQKMCHwNjAiNCHwNigiMCKECfw1+DY0IjAh/DY0Ifw2jAn4NigiADYwIgA1/DYwIcA2ADYoIcA2OCIANgA2BDX8NgQ2jAn8NjgiBDYANgQ2CDaMCjgikAoENpAKCDYENbw2kAo4IpAKpBIINbw2DDaQCgw2pBKQCqwSDDW8Ngw2EDakEqwSFDYMNhQ2EDYMNaQ2FDasEhQ2qBIQNaQ2PCIUNjwiqBIUNlQiPCGkNjwiGDaoElQiHDY8Ihw2GDY8I1wCHDZUIhw0uAIYN1wCIDYcNiA0uAIcNlgiIDdcAiA2JDS4AlgihCIgNoQiJDYgNlwihCJYIiQ2KDS4AlwiwAqEIfQGwApcIoQiyAokNsAKyAqEIiQ2jCIoNsgKjCIkNowivBIoNfQGgCLACngigCH0BsAKiCLICoAiiCLACsgKLDaMIogiLDbICowiMDa8Eiw2MDaMIjA2NDa8EngiqCKAInwiqCJ4IoAiwBKIIqgiwBKAIogilCIsNsASlCKIIiw1/AYwNpQh/AYsNjA2ODY0NfwGODYwNjg2xBI0Njg22ArEEtgKPDbEEfwGQDY4NkA22Ao4NpQinCH8BpwiQDX8BqQinCKUIsASpCKUItgKRDY8NkQ21Ao8NkA2mCLYCpgiRDbYCpwiyBJANsgSmCJANqQi3AqcItwKyBKcIkQ2SDbUCkg2TDbUCpgiUDZENlA2SDZENsgSVDaYIlQ2UDaYItwLICLIEyAiVDbIEkg2kCJMNpAgxAJMNpAiWDTEAqAikCJINlA2oCJINlw2WDaQIqAiXDaQIlw2YDZYNygioCJQNlQ3KCJQNswKXDagIygizAqgIswSYDZcNswKzBJcNswS0ApgNmQ3KCJUNyAiZDZUNywizAsoImQ3LCMoIzgizBLMCywjOCLMCzQi0ArMEzgjNCLMEzQjbALQCtATbAM0ItATHCNsAzAjNCM4IzAi0BM0Img3OCMsImg3MCM4Imw2aDcsImw3LCJkNnA3HCLQEnA3GCMcIsQK0BMwIsQKcDbQEnQ3MCJoNnQ2xAswIrwKaDZsNrwKdDZoNxQjGCJwNxQieDcYInw2eDcUInw0wAJ4NtQSfDcUIoA3FCJwNtQTFCKANoA2cDbECoQ21BKANog2gDbECoQ2gDaINog2xAp0NfgGhDaINtgSiDZ0NfgGiDbYEtgSdDa8Cow1+AbYEow22BKQNpA22BK8CwwijDaQNpA2vAqUNwwikDaYNpg2kDaUNpQ2vApsNpw3DCKYNpQ2bDckIyQibDZkNyQiZDcgI2gClDckIpg2lDdoAxAjJCMgI2gDJCMQIxAjICLcCpw2mDcIIwgimDdoALACnDcIIqA3aAMQIwgjaAKgNtwTECLcCqA3ECLcEtwS3AqkILADCCKkNqQ3CCKgNZg0sAKkNuASoDbcEqQ2oDbgEqwi3BKkIuAS3BKsIqwipCLAEqgirCLAEZg2pDa0IrQipDbgErghmDa0IrgitCKwIqAKrCKoIqAK4BKsIrQi4BKgCrAitCKgCnwioAqoIrAioAp8Iqg3QCMoEqw2qDcoEMgCqDasNqw3KBNEIMgCsDaoNrA3PCKoNqg3PCNAIrA26As8I0QjKBNMI0QjTCNQIygTQCNUIygTVCNMIugKFAc8IugLSCIUBzwjLBNAIzwiFAcsE0AjVBNUI0AjLBNUE0gjWCIUB0giGANYIhQHXCMsEhQHWCNcIywTdANUEywTXCN0AhgDMBNYIhgCGAcwE1gi7AtcI1gjMBLsC1wjZBN0A1wi7AtkEhgHrCMwEhgGtDesIzATpCLsCzATrCOkIuwLnCNkEuwLpCOcIrQ3sCOsIrQ2uDewI6wjNBOkI6wjsCM0E6QjqCOcI6QjNBOoIrg2vDewIrg3eAK8N7Ai8As0E7AivDbwCzQTtCOoIzQS8Au0I3gCwDa8N3gCxDbANrw3uCLwCrw2wDe4IvALwCO0IvALuCPAIsQ2yDbANsQ3vCLINsA3dBO4IsA2yDd0E7gj1CPAI7gjdBPUI7wjyCLIN7wizDfIIsg20Dd0Esg3yCLQN3QSJAfUI3QS0DYkBsw2+AvIIsw2KAb4C8gj5CLQN8gi+AvkItA21DYkBtA35CLUNigG2Db4CigG3DbYNvgK4DfkIvgK2DbgN+Qi5DbUN+Qi4DbkNtw26DbYNtw3hBLoNtg3CArgNtg26DcICuA36CLkNuA3CAvoI4QT7CLoN4QS7DfsIug28DcICug37CLwNwgLiBPoIwgK8DeIEuw29DfsIuw0zAL0N+wgCCbwN+wi9DQIJvA0BCeIEvA0CCQEJ+gjiBPwI4gQBCeQE4gTkBPwI+gj8CP0IuQ36CP0IuQ39CPgItQ25DfgI/Qj8COAEtQ34CL4NiQG1Db4N+Aj9CIgA/QjgBIgAvg34CPcI+AiIAPcIiQG+DfYI9QiJAfYIvg33CL8N9gi+Db8N9Qj2CNsE8Aj1CNsE9gi/Dd4E2wT2CN4E8AjbBL8C7QjwCL8C2wTeBPMIvwLbBPMI7Qi/AtoE6gjtCNoEvwLzCPEI2gS/AvEI6gjaBOYI5wjqCOYI2gTxCOUI5gjaBOUI5wjmCL0C2QTnCL0C5gjlCOAAvQLmCOAA2QS9AtgE3QDZBNgEvQLgAOII2AS9AuII3QDYBNYE1QTdANYE2ATiCNcE1gTYBNcE1QTWBNQE1QjVBNQE1gTXBIcB1ATWBIcB1QjUBIMB0wjVCIMB1ASHAdIEgwHUBNIE0wiDAc4E1AjTCM4E1AjOBNwAzgSDAdgIgwHSBNgI3ADOBM8EzgTYCM8E3ADPBIQBhAHPBNsIhAHbCMANzwTYCNoIzwTaCNsI2AjSBLgC2Ai4AtoI0gTZCLgC0gSHAdkIwA3bCNwIwA3cCMENwQ3cCMINwQ3CDTQA3AjDDcIN2wjdCNwI3AjdCMMN2wjaCN0I3QiIAcMN2gjQBN0I3QjQBIgB2gi4AtAE0ATfAIgBuALRBNAE0ATRBN8AuALZCNEE0QTeCN8A0QTfCN4I2QjfCNEE3wjgCN4I2QjTBN8IhwHTBNkIhwHXBNME3wi5AuAI0wS5At8IuQLEDeAI1wThCNME0wThCLkC1wTiCOEIuQLFDcQN4QjFDbkCxQ2HAMQN4gjjCOEI4QjjCMUN4gjgAOMIxQ3GDYcA4wjGDcUNxg3HDYcA4ADAAuMI4wjAAsYN4ADlCMACxg3kCMcNwALkCMYN5AjcBMcN5QjIDcACwALIDeQI5QjxCMgN5AjJDdwEyA3JDeQIyQ3KDdwE8QjBAsgNyA3BAskN8QjzCMECyQ3LDcoNwQLLDckNyw2LAcoN8wjMDcECwQLMDcsN8wjeBMwNyw3DAosBzA3DAssNwwLNDYsB3gT0CMwNzA30CMMC3gS/DfQIwwLODc0N9AjODcMCzg3oCM0Nvw3PDfQI9AjPDc4Nvw33CM8Nzg3QDegIzw3QDc4N0A3RDegI9wj+CM8Nzw3+CNAN9wiIAP4I0A3fBNEN/gjfBNAN3wQ1ANENiADSDf4I/gjSDd8EiADgBNIN3wTTDTUA0g3TDd8E4AT/CNIN0g3/CNMN4ATlBP8I/AjlBOAE/AjkBOUE5QQACf8I/wgICdMN/wgACQgJ5QTEAgAJ5ATEAuUE0w0ICdQN0w3UDTUA5AThAMQCAQnhAOQExAIGCQAJAQkDCeEAAgkDCQEJ4QAECcQCxAIECQYJAwnmBOEA4QDmBAQJAgnjBAMJvQ3jBAIJAwkFCeYE4wQFCQMJvQ3VDeMEMwDVDb0N4wQiCQUJ1Q0iCeMEMwDWDdUN1w3WDTMA1Q0jCSIJ1g0jCdUN1w0kCdYN6QQkCdcN1g3OAiMJJAnOAtYN6QTYDSQJ2Q3YDekEJAnaDc4C2A3aDSQJ2Q3bDdgNkAHbDdkN2A2NAdoN2w2NAdgNkAHqBNsN3A3qBJAB2w3dDY0B6gTdDdsN3A3eDeoESgneDdwN6gTnAN0N3g3nAOoESgnfDd4N4A3fDUoJ3g3hDecA3w3hDd4N4A1LCd8N6ABLCeAN6ADiDUsJSwmPAd8N3w2PAeEN4g3jDUsJSwnjDY8B4g3kDeMN5A3rBOMN5A2RAesE4w1NCY8B4w3rBE0JjwFMCeENjwFNCUwJ4Q1MCeUN4Q3lDecAkQFOCesEkQGKAE4J6wRPCU0J6wROCU8JTQlQCUwJTQlPCVAJTAnmDeUNTAlQCeYNigBSCU4JigBTCVIJTglUCU8JTglSCVQJTwmSAVAJTwlUCZIBUAnnDeYNUAmSAecNUwnoDVIJUwnPAugNUgnQAlQJUgnoDdACVAnpDZIBVAnQAukNkgFXCecNkgHpDVcJzwJVCegNzwLqDVUJ6g3rDVUJ6g03AOsNVQnrDewE6A1VCewNVQnsBOwN6A3sDdAC7A3sBO0N0ALsDe4N7A3tDe4N0ALuDekN7g3tDZMB6Q3uDdEC7g2TAdEC6Q3RAlcJ0QKTAe8N0QLvDfANVwnRAvAN8A3vDVYJVwnwDfEN5w1XCfEN8A1WCfIN8Q3wDfIN8g1WCfMN5w3xDVkJ5g3nDVkJ8Q3yDVgJWQnxDVgJ8g3zDe0EWAnyDe0E7QTzDTYA5g1ZCVEJ5Q3mDVEJWQlYCeYAUQlZCeYAWAntBPQN5gBYCfQN7QQ2APUN9A3tBPUN5Q1RCfYN5wDlDfYN5wD2Dd0N9g1RCVoJUQnmAFoJ3Q32DUkJ9g1aCUkJ3Q1JCY0B5gD0De4EWgnmAO4E7gT0DUYJ9A31DUYJWgnuBEcJSQlaCUcJjQFJCUgJSQlHCUgJjQFICdoNRwnuBPAE7gRGCfAESAlHCe8ERwnwBO8E2g1ICSYJSAnvBCYJ2g0mCc4CzgImCYwBzgKMASMJJgnvBCcJJgknCYwB7wTwBJQB7wSUAScJ8ARECZQB8ARGCUQJIwmMAfEEIwnxBCIJjAEnCSUJjAElCfEEJwmUAeQAJwnkACUJlAEpCeQAlAFECSkJIgnxBPIEIgnyBAUJ8QQlCcwC8QTMAvIEJQnkAPMEJQnzBMwC5AAoCfME5AApCSgJBQnyBPYEBQn2BOYE8gTMAvUE8gT1BPYEzALzBPQEzAL0BPUE8wSVAfQE8wQoCZUB5gT2BI4B5gSOAQQJ9gT1BMsC9gTLAo4B9QT0BPcE9QT3BMsC9AQhCfcE9ASVASEJBAmOAecEBAnnBAYJjgHLAh8JjgEfCecEywL3BPgEywL4BB8J9wQgCfgE9wQhCSAJHwn4BB4J5wQfCccCHwkeCccC+ASaAR4J+AQgCZoB5wTHAgcJBgnnBAcJxwIeCRwJBgkHCcUCAAkGCcUCAAnFAggJBwnHAvkExwIcCfkExQIHCQkJBwn5BAkJCAnFAugExQIJCegECAnoBNQNHgkdCRwJHgmaAR0J+QQcCfoECQn5BBYJ+QT6BBYJ6AQJCfsECQkWCfsE6AT7BPcN1A3oBPcNHAn4DfoEHAkdCfgN1A33DQoJNQDUDQoJNQAKCfkN+Q0KCfoN+Q36DQsJCgn3DZ4BCgmeAfoN9w0TCZ4B9w37BBMJCwn6DfsNCwn7DfwN+g2eAf0N+g39DfsNngETCREJngERCf0N+wQVCRMJ+wQWCRUJEwn/BBEJEwkVCf8EFgkXCRUJFgn6BBcJFQn+Df8EFQkXCf4N+gSbARcJ+gT4DZsBFwn/Df4NFwmbAf8N/wT+DQAO/g3/DcoC/g3KAgAO/wQADgEOEQn/BAEOEQkBDgIO/Q0RCQIOAQ4ADhgJ/Q0CDsYC+w39DcYCAg4BDhIJAQ4YCRIJxgICDgMOAg4SCQMO+w3GAvwE/A37DfwE/A38BJ8B/ATGAgQOxgIDDgQOnwH8BAUO/AQEDgUOnwEFDgYOBg4FDgcOBg4HDv0EBQ4EDv4EBQ7+BAcOBA4DDg8JBA4PCf4EAw4ABQ8JAw4SCQAF/QQHDgwJ/QQMCQgOCA4MCQkOCA4JDokADAkNCQkOBw4KDgwJDAkKDg0JBw7+BAoOCg4OCQ0J/gSdAQoOCg6dAQ4J/gQPCZ0BnQHiAA4JDwkQCZ0BnQEQCeIADwkABRAJEAmcAeIAEAnIApwBAAXIAhAJyAILDpwBAAUUCcgCEgkUCQAFyAIMDgsOFAkMDsgCDA4NDgsOEgkYCRQJDA4aCQ0OGgk5AA0OGgkODjkAFAkZCQwOGQkaCQwOGAkZCRQJDw4ODhoJGQkPDhoJDw7JAg4OGAkQDhkJEA4PDhkJAA4QDhgJAA7KAhAOEA4RDg8OEQ7JAg8OygIRDhAOEQ4SDskCygIBBREOAQUSDhEO/w0BBcoCAQUCBRIO/w0TDgEFEw4CBQEFmwETDv8NEw4UDgIFmwEVDhMOFQ4UDhMO+A0VDpsBFQ4DBRQO+A0bCRUOGwkDBRUOHQkbCfgNGwkWDgMFHQkXDhsJFw4WDhsJmgEXDh0JFw44ABYOmgEYDhcOGA44ABcOIAkYDpoBGA4ZDjgAIAkrCRgOKwkZDhgOIQkrCSAJGQ4aDjgAIQnjACsJlQHjACEJKwnTAhkO4wDTAisJGQ4tCRoO0wItCRkOLQkFBRoOlQEqCeMAKAkqCZUB4wAsCdMCKgksCeMA0wIbDi0JLAkbDtMCLQkcDgUFGw4cDi0JHA4dDgUFKAlDCSoJKQlDCSgJKgkGBSwJQwkGBSoJLAkuCRsOBgUuCSwJGw4EBRwOLgkEBRsOHA4eDh0OBAUeDhwOHg4JBR0OHg7VAgkF1QIfDgkFBAUgDh4OIA7VAh4OLglACQQFQAkgDgQFQQlACS4JBgVBCS4J1QIvCR8OLwnWAh8OIA4wCdUCMAkvCdUCQAmLACAOiwAwCSAOQQk/CUAJPwmLAEAJLwkhDtYCIQ4iDtYCMAkjDi8JIw4hDi8JiwAkDjAJJA4jDjAJPwk+CYsAPgkkDosAIQ4lDiIOJQ46ACIOJQ4mDjoAMQklDiEOIw4xCSEOCgUmDiUOMQkKBSUOCgUnDiYOMgkxCSMOJA4yCSMOMwkKBTEJMgkzCTEJNAknDgoFMwk0CQoFNAmZAScOKA4yCSQOPgkoDiQONQkzCTIJKA41CTIJmAE0CTMJNQmYATMJCwWZATQJmAELBTQJCwXlAJkBDAXlAAsFDAU3CeUANgkLBZgBNgkMBQsFKQ6YATUJKQ42CZgBKg4pDjUJKg41CSgOKw43CQwFKw45CTcJ1AIMBTYJ1AIrDgwFLA42CSkOLA7UAjYJ0gIpDioO0gIsDikOOAk5CSsOOAktDjkJLg4tDjgJLg47AC0ODQUuDjgJLw44CSsODQU4CS8OLw4rDtQCMA4NBS8OMQ4vDtQCMA4vDjEOMQ7UAiwOlwEwDjEODgUxDiwOlwExDg4FDgUsDtICMg6XAQ4FMg4OBTMOMw4OBdICOgkyDjMOMw7SAjQOOgkzDjUONQ4zDjQONA7SAioONg46CTUONA4qDjwJPAkqDigOPAkoDj4JlgE0DjwJNQ40DpYBPQk8CT4JlgE8CT0JPQk+CT8JNg41DjsJOwk1DpYBNgA2DjsJNw6WAT0JOwmWATcOBwU9CT8JNw49CQcFBwU/CUEJNgA7CTgOOA47CTcO9Q02ADgOCAU3DgcFOA43DggFQgkHBUEJCAUHBUIJQglBCQYFQwlCCQYF9Q04DkUJRQk4DggFRgn1DUUJRglFCUQJzQJCCUMJzQIIBUIJRQkIBc0CRAlFCc0CKQnNAkMJRAnNAikJOQ5cCQ8FOg45Dg8FPAA5DjoOOg4PBdcCPAA7DjkOOw5bCTkOOQ5bCVwJOw4RBVsJ1wIPBV8J1wJfCTwODwVcCRAFDwUQBV8JEQXYAlsJEQVeCdgCWwldCVwJWwnYAl0JXAmMABAFXAldCYwAXgkTBdgCXgkSBRMF2AJgCV0J2AITBWAJXQkcBYwAXQlgCRwFEgVhCRMFEgWOAGEJEwViCWAJEwVhCWIJYAkeBRwFYAliCR4FjgBjCWEJjgA9DmMJYQlkCWIJYQljCWQJYgmiAR4FYglkCaIBPQ7cAmMJPQ4+DtwCYwk/DmQJYwncAj8OZAllCaIBZAk/DmUJPg5ADtwCPg7rAEAO3AIjBT8O3AJADiMFPw5BDmUJPw4jBUEO6wBmCUAO6wBCDmYJQA5DDiMFQA5mCUMOIwVEDkEOIwVDDkQOQg4kBWYJQg5nCSQFZgl/CUMOZgkkBX8JQw6kAUQOQw5/CaQBZwlFDiQFZwlGDkUOJAVHDn8JJAVFDkcOfwl9CaQBfwlHDn0JRg4lBUUORg7fAiUFRQ5IDkcORQ4lBUgORw5JDn0JRw5IDkkO3wJKDiUF3wJLDkoOJQVMDkgOJQVKDkwOSA5NDkkOSA5MDk0OSw5ODkoOSw4mBU4OSg7eAkwOSg5ODt4CTA6ACU0OTA7eAoAJJgWBCU4OJgVPDoEJTg5QDt4CTg6BCVAO3gKCCYAJ3gJQDoIJTw5RDoEJTw4/AFEOgQmDCVAOgQlRDoMJUA5SDoIJUA6DCVIOgAmCCX4JgglSDikFggkpBX4JgAl+CXwJTQ6ACXwJTQ58CVMOSQ5NDlMOfAl+CVQOSQ5TDlUOfQlJDlUOUw58CVYOfAlUDlYOVQ5TDqYBUw5WDqYBfQlVDigFpAF9CSgFVQ6mAVcOKAVVDlcOpAEoBVgORA6kAVgOKAVXDlkOWA4oBVkORA5YDuwAQQ5EDuwAWA5ZDngJ7ABYDngJQQ7sAKMBZQlBDqMB7AB4CXcJowHsAHcJZQmjASIFogFlCSIFowF3CVoOIgWjAVoOogEiBWgJHgWiAWgJIgVaDmkJaAkiBWkJHgVoCR0FHAUeBR0FaAlpCR8FHQVoCR8FHAUdBRsFjAAcBRsFHQUfBeoAGwUdBeoAjAAbBRgFEAWMABgFGwXqABoFGAUbBRoFEAUYBWoJXwkQBWoJGAUaBRcFagkYBRcFXwlqCdkCPA5fCdkCPA7ZAukA2QJqCaABagkXBaAB6QDZAhQF2QKgARQF6QAUBRUFFQUUBW0JFQVtCVsOFAWgAWwJFAVsCW0JoAEXBWsJoAFrCWwJFwXbAmsJFwUaBdsCWw5tCW4JWw5uCVwOXA5uCV0OXA5dDj4AbgleDl0ObQlvCW4JbglvCV4ObQlsCW8JbwnaAl4ObAkWBW8JbwkWBdoCbAlrCRYFFgWNANoCawlwCRYFFgVwCY0AawnbAnAJcAlxCY0AcAkZBXEJ2wIZBXAJGQWhAXEJ2wJyCRkFGgVyCdsCGgXqAHIJGQVzCaEBcglzCRkFcwlfDqEB6gB0CXIJcgl0CXMJ6gAfBXQJcwlgDl8OdAlgDnMJYA6PAF8OHwUgBXQJdAkgBWAOHwVpCSAFYA5hDo8AIAVhDmAOYQ5iDo8AaQl1CSAFIAV1CWEOaQlaDnUJYQ52CWIOdQl2CWEOdgkhBWIOWg5jDnUJdQljDnYJWg53CWMOdglkDiEFYw5kDnYJZA5lDiEFdwndAmMOYw7dAmQOdwl4Cd0CZA5mDmUO3QJmDmQOZg6lAWUOeAlnDt0C3QJnDmYOeAlZDmcOZg4nBaUBZw4nBWYOJwVoDqUBWQ5pDmcOZw5pDicFWQ5XDmkOJwVqDmgOaQ5qDicFag55CWgOVw5rDmkOaQ5rDmoOVw6mAWsOag7gAnkJaw7gAmoO4AJsDnkJpgF6CWsOaw56CeACpgFWDnoJ4AJ7CWwOegl7CeACewk9AGwOVg5tDnoJegltDnsJVg5UDm0OewluDj0AbQ5uDnsJVA5vDm0ObQ5vDm4OVA7tAG8OfgntAFQOfgkpBe0A7QBwDm8Obw4rBW4Obw5wDisF7QCFCXAOKQWFCe0Abg4rBXEObg5xDj0AKQXhAoUJUg7hAikFhQmGCXAOUg6ECeECgwmECVIO4QKnAYUJhQmnAYYJhAmHCeEC4QKHCacBgwkqBYQJUQ4qBYMJhAksBYcJKgUsBYQJUQ5yDioFPwByDlEOKgWKCSwFcg6KCSoFPwBzDnIOdA5zDj8Acg6NCYoJcw6NCXIOdA6PCXMOUAWPCXQOcw4uBY0JjwkuBXMOUAV1Do8Jdg51DlAFjwl3Di4FdQ53Do8Jdg54DnUO8gJ4DnYOdQ6wAXcOeA6wAXUO8gJaBXgOeQ5aBfICeA56DrABWgV6DngOeQ57DloFkQl7DnkOWgXxAnoOew7xAloFkQl8DnsOfQ58DpEJew5+DvECfA5+DnsOfQ6UCXwO7gCUCX0O7gB/DpQJlAnzAnwOfA7zAn4Ofw6ADpQJlAmADvMCfw6BDoAOgQ6VCYAOgQ6QAJUJgA6WCfMCgA6VCZYJ8wKCDn4O8wKWCYIOfg6CDoMOfg6DDvECkABZBZUJkABYBVkFlQmxAZYJlQlZBbEBlgmbCYIOlgmxAZsJgg6EDoMOgg6bCYQOWAVXBVkFWAWfCVcFWQWdCbEBWQVXBZ0JsQFVBZsJsQGdCVUFmwmFDoQOmwlVBYUOnwmGDlcFnwlWBYYOVwX0Ap0JVwWGDvQCnQmHDlUFnQn0AocOVQWeCYUOVQWHDp4JVgWgCYYOVgWIDqAJiA6JDqAJiA5BAIkOoAmJDlMFhg6gCYoOoAlTBYoOhg6KDvQCig5TBYsO9AKKDowOig6LDowO9AKMDocOjA6LDq8Bhw6MDlEFjA6vAVEFhw5RBZ4JUQWvAY0OUQWNDo4OnglRBY4Ojg6NDqEJngmODo8OhQ6eCY8Ojg6hCZAOjw6ODpAOkA6hCZEOhQ6PDpIOhA6FDpIOjw6QDpwJkg6PDpwJkA6RDk8FnAmQDk8FTwWRDkAAhA6SDpoJgw6EDpoJkg6cCVIFmgmSDlIFnAlPBZMOUgWcCZMOTwVAAJQOkw5PBZQOgw6aCVQF8QKDDlQF8QJUBXoOVAWaCZkJmglSBZkJeg5UBZcJVAWZCZcJeg6XCbABUgWTDu8AmQlSBe8A7wCTDqIJkw6UDqIJmQnvAJgJlwmZCZgJsAGXCU4FlwmYCU4FsAFOBXcOmAnvAEwF7wCiCUwFTgWYCU0FmAlMBU0Fdw5OBZAJTgVNBZAJdw6QCS4FLgWQCfACLgXwAo0JkAlNBaoBkAmqAfACTQVMBZMJTQWTCaoBTAWjCZMJTAWiCaMJjQnwAowJjQmMCYoJ8AKqAY4J8AKOCYwJqgGTCZIJqgGSCY4JkwmkCZIJkwmjCaQJigmMCZEAigmRACwFjAmOCTIFjAkyBZEAjgmSCTQFjgk0BTIFkgnxADQFkgmkCfEALAWRAC8FLAUvBYcJkQAyBTEFkQAxBS8FMgU0BTMFMgUzBTEFNAWnCTMFNAXxAKcJhwkvBS0FhwktBacBLwUxBTAFLwUwBS0FMQUzBakBMQWpATAFMwU1BakBMwWnCTUFpwEtBYgJpwGICYYJLQUwBYkJLQWJCYgJMAWpAYsJMAWLCYkJqQGpCYsJqQE1BakJiQmLCeMCiAmJCfAAiQnjAvAAiwmsCeMCiwmpCawJiAnwAK8JhgmICa8J8ADjAq0JhgmvCbAJcA6GCbAJcA6wCSsFrwnwADYF8ACtCTYFsAmvCbEJrwk2BbEJKwWwCeICsAmxCeICKwXiAnEO4wI5Ba0J4wKsCTkFNgWtCToFsQk2BbIJNgU6BbIJ4gKxCTsFsQmyCTsF4gI7BZUOcQ7iApUOrQmWDjoFrQk5BZYOcQ6VDrMJPQBxDrMJPQCzCZcOlw6zCZgOlw6YDrQJswmVDuQCswnkApgOlQ63CeQClQ47BbcJtAmYDpkOtAmZDpoOmA7kApsOmA6bDpkO5AK3CbgJ5AK4CZsOOwW1CbcJOwWyCbUJtwnnArgJtwm1CecCsgm2CbUJsgk6BbYJtQmcDucCtQm2CZwOOgWoAbYJOgWWDqgBtgmdDpwOtgmoAZ0O5wKcDp4OnA6dDsIJnA7CCZ4O5wKeDp8OuAnnAp8OuAmfDqAOmw64CaAOnw6eDvQAmw6gDrkJmQ6bDrkJoA6fDr8Jnw70AL8JuQmgDqEOoA6/CaEOmQ65CeUCmg6ZDuUCmg7lAqsB5QK5CaIOuQmhDqIOqwHlAqMO5QKiDqMOqwGjDqQOpA6jDkIFpA5CBUEFow6iDroJow66CUIFog6hDuYCog7mAroJoQ6+CeYCoQ6/Cb4JQQVCBaUOQQWlDqYOpg6lDqcOpg6nDpMApQ6sAacOQgVABaUOpQ5ABawBQgW6CUAFQAW7CawBugm8CUAFQAW8CbsJugnmArwJvAmSALsJ5gK9CbwJvAm9CZIA5gK+Cb0JvQnoApIAvQk/BegCvgk/Bb0JPwWoDugCvgnACT8FvwnACb4JPwWpDqgOwAmpDj8FqQ6qDqgOvwn0AMAJqQ7DCaoOwwlDAKoOwwmrDkMAwAnBCakOwQnDCakO9ADBCcAJrA6rDsMJwQmsDsMJrA7ECasO9ACtDsEJrQ6sDsEJng6tDvQAng7CCa0OrQ6uDqwOrg7ECawOwgmuDq0Org6vDsQJwgk+Ba4OPgWvDq4OnQ4+BcIJPgXpAq8OnQ6wDj4FsA7pAj4FqAGwDp0OsA6xDukCqAGyDrAOsg6xDrAOlg6yDqgBsg48BbEOlg6uCbIOrgk8BbIOOQWuCZYOrgmzDjwFOQW0Dq4JtA6zDq4JrAm0DjkFtA5CALMOrAm1DrQOtQ5CALQOqQm1DqwJtQ62DkIAqQk3BbUONwW2DrUONQU3BakJtg63DkIANQWoCTcFpwmoCTUFNwWqCbYOqAmqCTcFtg7FCbcOqgnFCbYOxQk9BbcOpwnqAqgJ8QDqAqcJqAm4DqoJ6gK4DqgJqgm5DsUJuA65DqoJxQm6Dj0FuQ66DsUJug67Dj0F8QClCeoCpAmlCfEA6gJLBbgOpQlLBeoCuA6rCbkOSwWrCbgOuQ7rAroOqwnrArkOug68DrsO6wK8DroOvA7sArsOvA7GCewCxgm9DuwC6wK+DrwOvg7GCbwOqwnHCesCxwm+DusCvw7HCasJSwW/DqsJxgnADr0OwA7JCb0Ovg7BDsYJwQ7ADsYJxwnCDr4Owg7BDr4Ovw7DDscJww7CDscJwA5DBckJQwXEDskJwQ7ICcAOyAlDBcAOwg7FDsEOxQ7ICcEOww5IBcIOSAXFDsIOQwXKCcQOyglFAMQOygnGDkUAywnKCUMFyAnLCUMFxw7GDsoJywnHDsoJxw7IDsYOrgHLCcgJxQ6uAcgJyQ7HDssJrgHJDssJyg7IDscOyQ7KDscOyg5EBcgOyw6uAcUOSAXLDsUOzA7JDq4Byw7MDq4BzQnKDskOzA7NCckOzAlEBcoOzQnMCcoOzAnzAEQF0AnzAMwJ0AnNDvMAzwnMCc0JzwnQCcwJzg7NCcwOzg7PCc0Jzw7ODswOzw7MDssO0A7NDtAJ0A7uAs0O7QLQCc8J7QLQDtAJ0Q7PCc4O0Q7tAs8JRwXODs8ORwXRDs4O0gnuAtAO0gnSDu4C0w7SDtIJ0w5EANIORQXTDtIJ1A7SCdAORQXSCdQO1A7QDu0C1Q5FBdQO1g7UDu0C1Q7UDtYO1g7tAtEOrQHVDtYORgXWDtEOrQHWDkYFRgXRDkcF1w6tAUYF1w5GBdgO2A5GBUcFpgnXDtgO2A5HBdkOpgnYDtoO2g7YDtkO2Q5HBc8O2w6mCdoO2Q7PDs4JzgnPDssOzgnLDkgF0QnZDs4J2g7ZDtEJ8gDOCUgF0QnOCfIA8gBIBcMO2w7aDkkFSQXaDtEJQADbDkkF3A7RCfIASQXRCdwOSgXyAMMO3A7yAEoFSgXDDr8OQABJBd0O3Q5JBdwOlA5AAN0O7wLcDkoF3Q7cDu8C3g5KBb8O7wJKBd4O3g6/DksFpQneDksFlA7dDjgFOAXdDu8CogmUDjgFogk4BaMJ3w7eDqUJ3w7vAt4OOAXvAt8Oowk4Bd8OpAnfDqUJownfDqQJ4A7TCVsF4Q7gDlsFRgDgDuEO4Q5bBdYJRgDiDuAO4g7jDuAO4A7jDtMJ4g71AuMO1glbBeQO1gnkDuUOWwXTCbIBWwWyAeQO9QJcBeMO9QLmDlwF4w7UCdMJ4w5cBdQJ0wnVCbIB0wnUCdUJ5g7YCVwF5g71ANgJXAVgBdQJXAXYCWAF1An2AtUJ1AlgBfYC9QBeBdgJ9QBfBV4F2AnaCWAF2AleBdoJYAVjBfYCYAXaCWMFXwXnDl4FXwXoDucOXgW1AdoJXgXnDrUB2gncCWMF2gm1AdwJ6A7bCecO6A7pDtsJ5w7qDrUB5w7bCeoOtQHrDtwJtQHqDusO6Q7sDtsJ6Q6VAOwO2wlpBeoO2wnsDmkF6g7tDusO6g5pBe0OlQDdCewOlQDuDt0J7A7vDmkF7A7dCe8OaQVsBe0OaQXvDmwF7g7wDt0J7g7eCfAO3Qm3Ae8O3QnwDrcB7w7xDmwF7w63AfEO3gnyDvAO3gnzDvIO8A70DrcB8A7yDvQOtwHxCfEOtwH0DvEJ8w7hCfIO8w64AeEJ8g5uBfQO8g7hCW4F9A71DvEJ9A5uBfUOuAH2DuEJuAH3DvYO4Qn4Dm4F4Qn2DvgObgX5DvUObgX4DvkO9w76DvYO9w5xBfoO9g75AvgO9g76DvkC+A7zCfkO+A75AvMJcQX0CfoOcQX7DvQJ+g78DvkC+g70CfwO+QL1CfMJ+QL8DvUJ+w79DvQJ+w5JAP0O9An2CfwO9An9DvYJ/A7+DvUJ/A72Cf4O8wn1Cf8O9Qn+DvcJ9Qn3Cf8O8wn/Dm8F+Q7zCW8F+Q5vBQAP9Q75DgAPbwX/DrkB9Q4ADwEP8Qn1DgEPAA9vBQIPbwW5AQIPAQ8AD/IJAA8CD/IJ8QkBD/AJ8Q7xCfAJAQ/yCQMP8AkBDwMP8Q7wCe8JbAXxDu8J8AkDD/cA7wnwCfcAbAXvCQQP7Q5sBQQP7wn3AAUPBA/vCQUP7Q4ED+cJ6w7tDucJBA8FD+kJ5wkED+kJ6w7nCWgF3AnrDmgF5wnpCQYPaAXnCQYP3AloBd8JYwXcCd8JaAUGD7YB3wloBbYBYwXfCeAJ9gJjBeAJ3wm2AWcF4AnfCWcF9gLgCeIJ1Qn2AuIJ4AlnBeMJ4gngCeMJ1QniCWEFsgHVCWEF4gnjCWQFYQXiCWQFsgFhBUAK5A6yAUAKYQVkBUIKQAphBUIK5A5ACtcJ5Q7kDtcJ5Q7XCV0F1wlACkEKQApCCkEKXQXXCdkJ1wlBCtkJXQXZCbMBswHZCQcPswEHDwgP2QlBCvcC2Qn3AgcPQQpCCkMKQQpDCvcCQgq0AUMKQgpkBbQBCA8HDwkPCA8JDwoPCg8JDwsPCg8LD0gACQ8MDwsPBw8NDwkPCQ8NDwwPBw/3Ag0PDQ9iBQwP9wJECg0PDQ9ECmIF9wJDCkQKRAr2AGIFQwplBUQKRAplBfYAQwq0AWUFZQUOD/YAZQXrCQ4PtAHrCWUF6wlmBQ4PtAHlCesJZAXlCbQBZAXjCeUJ6wnmCWYF5QnmCesJ5gkPD2YF4wnkCeUJ5QnkCeYJ4wlnBeQJ5gkQDw8P5AkQD+YJEA+UAA8PZwURD+QJ5AkRDxAPZwW2AREPEA8SD5QAEQ8SDxAPEg8TD5QAtgHoCREPEQ/oCRIPtgEGD+gJEg/qCRMP6AnqCRIP6glrBRMPBg8UD+gJ6AkUD+oJBg/pCRQP6gkVD2sFFA8VD+oJFQ8WD2sF6QlqBRQPFA9qBRUP6QkFD2oFFQ8XDxYPagUXDxUPFw/4AhYPBQ8YD2oFagUYDxcPBQ/3ABgPFw9tBfgCGA9tBRcPbQUZD/gC9wDuCRgPGA/uCW0F9wADD+4JbQUaDxkP7gkaD20FGg/sCRkPAw8bD+4J7gkbDxoPAw/yCRsPGg8cD+wJGw8cDxoPHA8dD+wJ8glwBRsPGw9wBRwP8gkCD3AFHA/tCR0PcAXtCRwP7QlHAB0PAg8eD3AFcAUeD+0JAg+5AR4P7QkfD0cAHg8fD+0JuQEgDx4PHg8gDx8PuQH4CSAP/w74CbkB/w73CfgJ+AkhDyAPIA/5CR8PIA8hD/kJ+AkiDyEP9wkiD/gJHw/5CSMPHw8jD0cA9wm6ASIP/g66AfcJIg/6AiEP/g4kD7oB9gkkD/4OugEPCiIPIg8PCvoCJA8RCroBugERCg8K9glyBSQP/Q5yBfYJJA9zBREKcgVzBSQP/Q4lD3IFSQAlD/0OcgUWCnMFJQ8WCnIFSQAmDyUPJw8mD0kAJQ8oDxYKJg8oDyUPJw8xCiYPdgUxCicPJg/7AigPMQr7AiYPdgUpDzEKKg8pD3YFMQorD/sCKQ8rDzEKKg8sDykPvgEsDyoPKQ91BSsPLA91BSkPvgF3BSwPLQ93Bb4BLA8uD3UFdwUuDywPLQ80CncFNQo0Ci0PdwUzCi4PNAozCncFNQovDzQKMA8vDzUKNAoxDzMKLw8xDzQKMA8yDy8PlwAyDzAPlwAzDzIPMg80Dy8PLw80DzEPMw8BAzIPMg8BAzQPMw81DwEDNQ82DwEDNQ94BTYPAQM2CjQPAQM2DzYKNA85CjEPNA82CjkKMQ85CjcPMQ83DzMKeAU3CjYPeAX5ADcKNg84CjYKNg83CjgKNgoAAzkKNgo4CgADOQo4DzcPOQoAAzgP+QB5BTcK+QA5D3kFNwo6DzgKNwp5BToPOAo7CgADOAo6DzsKAAM7DzgPAAM7CjsPOQ88D3kFOQ8CAzwPeQXAAToPeQU8D8ABOg89DzsKOg/AAT0POwo8CjsPOwo9DzwKAgM/CjwPAgM+Dz8KPg8/Dz8KPg9LAD8PPwo/D3oFPA8/CkAPPwp6BUAPPA9AD8ABQA96BUEPwAFAD0IPQA9BD0IPwAFCDz0PQg9BD78BPQ9CD3sFQg+/AXsFPQ97BTwKewW/AUMPewVDDz4KPAp7BT4KPgpDDz0KPAo+CkQPOw88CkQPPgo9CkUPRA8+CkUPRQ89CkYPOw9ED0cPOA87D0cPRA9FD0gPRw9ED0gPRQ9GD0kPSA9FD0kPSQ9GD0oAOA9HD0oPNw84D0oPRw9ID3wFSg9HD3wFSA9JD/8CfAVID/8CSQ9KAEsP/wJJD0sPNw9KD0wPMwo3D0wPMwpMDy4PTA9KDzoKSg98BToKLg9MD/gATA86CvgALg/4AHUFfAX/Ak0POgp8BU0PTQ//Ak4P/wJLD04POgpNDzIK+AA6CjIKdQX4ADAK+AAyCjAKdQUwCisPMgpNDy4KTQ9ODy4KMAoyCrwBMgouCrwBKw8wCi8KMAq8AS8KKw8vCvsC+wIvCnQF+wJ0BSgPLwq8AS0KLwotCnQFvAEuCn0FvAF9BS0KLgpPD30FLgpOD08PKA90BRcKKA8XChYKdAUtCvwCdAX8AhcKLQp9BSwKLQosCvwCfQX+AiwKfQVPD/4CFgoXChUKFgoVCnMFFwr8ApgAFwqYABUK/AIsChgK/AIYCpgALAoaChgKLAr+AhoKcwUVCr0BcwW9AREKFQqYABIKFQoSCr0BmAAYCv0CmAD9AhIKGAoZCv0CGAoaChkKEQq9ARAKEQoQCg8KvQESCn4FvQF+BRAKEgr9AhMKEgoTCn4F/QL6ABMK/QIZCvoADwoQCg0KDwoNCvoCEAp+BX8FEAp/BQ0KfgUTCg4KfgUOCn8FEwoUCg4KEwr6ABQKfwUOCgwKDQp/BbsBfwUMCrsBDgqCBQwKDgoUCoIFDQq7AYEF+gINCoEFuwEMCgsK+gKBBVAPIQ/6AlAPIQ9QD/kJgQW7AQUDuwELCgUDUA+BBVEPgQUFA1EP+QlQD4MFUA9RD4MF+QmDBSMPDAoKCgsKDAqCBQoKBQMLCgkKUQ8FA/0JBQMJCv0JgwVRD1IPUQ/9CVIPgwVSD/oJIw+DBfoJCwpTDwkKCwoKClMPIw/6CVQPRwAjD1QPRwBUD1UPVQ9UD1YPVQ9WD/sJVA/6CVcPVA9XD1YP+gnGAVcP+glSD8YB+wlWD/wJ+wn8CVgPVg9XD1kPVg9ZD/wJVw/GAQEKVw8BClkPUg8DCsYBUg/9CQMKxgGFBQEKxgEDCoUF/QkECgMK/QkJCgQKAwpaD4UFAwoECloPCQoGAwQKCQpTDwYDBApbD1oPBAoGA1sPhQVaD1wPWg9bDwcKWg8HClwPhQVcD10PAQqFBV0PAQpdD14PWQ8BCl4PXQ9cD8cBWQ9eD/4J/AlZD/4JXg9dD18PXQ/HAV8P/gleD2APXg9fD2AP/An+CQcDWA/8CQcDWA8HAwgDBwP+CWEP/glgD2EPCAMHA2IPBwNhD2IPCANiD2MPYw9iD2QPYw9kD4QFYg9hD4YFYg+GBWQPYQ9gD/sAYQ/7AIYFYA8CCvsAYA9fDwIKhAVkD/8JhAX/CWUPZQ//CWYPZQ9mD5YA/wmHBWYPZA9nD/8J/wlnD4cFZA+GBWcPZw9oD4cFhgWIBWcPZw+IBWgPhgX7AIgFiAX8AGgP+wAACogFiAUACvwA+wACCgAKAAqJBfwAAAqKBYkFAgqKBQAKigVpD4kFAgoFCooFXw8FCgIKigVqD2kPBQpqD4oFag9rD2kPXw/HAQUKag8GCmsPBgpNAGsPBgpsD00ABQptD2oPbQ8GCmoPxwFtDwUKbg9sDwYKbQ9uDwYKbg+LBWwPxwFvD20Pbw9uD20PXA9vD8cBXA8HCm8Pbw9wD24PcA+LBW4PBwpwD28PcA9xD4sFBwqMBXAPjAVxD3APWw+MBQcKjAXIAXEPWw9yD4wFcg/IAYwFBgNyD1sPcg9zD8gBBgN0D3IPdA9zD3IPUw90DwYDdA+NBXMPUw8ICnQPCAqNBXQPCgoIClMPCAp1D40FCgp2DwgKdg91DwgKggV2DwoKdg9MAHUPggV3D3YPdw9MAHYPFAp3D4IFdw94D0wAFAp5D3cPeQ94D3cP+gB5DxQKeA96D0wA+gDBAXkPGQrBAfoAeQ8bCngPwQEbCnkPeA8dCnoPGwodCngPHQqPBXoPGQqABcEBGgqABRkKwQF7DxsKgAV7D8EBGwp8Dx0Kew98DxsKHQp9D48FfA99Dx0KfQ9+D48FGgp/D4AF/gJ/DxoKgAUcCnsPfw8cCoAFew8eCnwPHAoeCnsPfA+OBX0PHgqOBXwPfQ+AD34PjgWAD30PgA/FAX4PgA8fCsUBHwqBD8UBjgWCD4APgg8fCoAPHgqDD44Fgw+CD44FhA+DDx4KHAqEDx4KHwqFD4EPhQ+QBYEPgg+GDx8Khg+FDx8Kgw/9AIIP/QCGD4IPhA8mCoMPJgr9AIMPhQ+HD5AFhw+ID5AFhg8EA4UPBAOHD4UP/QCJD4YPiQ8EA4YPJgolCv0AJQqJD/0Ahw8gCogPIApPAIgPIAqKD08Aiw8gCocPBAOLD4cPjA+KDyAKiw+MDyAKjA+ND4oPJAqLDwQDiQ8kCgQDjg+MD4sPJAqOD4sPkgWND4wPjg+SBYwPkgXEAY0Pjw8kCokPJQqPD4kPkA+ODyQKjw+QDyQKlAWSBY4PkA+UBY4PkQ/EAZIFlAWRD5IFkQ+TBcQBIQqTBZEPIQqSD5MFIgqRD5QFIgohCpEPkw+UBZAPkw8iCpQFlA+TD5APlA+QD48PlQ+SDyEKlQ8jCpIPAwMhCiIKAwOVDyEKlg8iCpMPlg8DAyIKlgWTD5QPlgWWD5MPKAojCpUPKAqXDyMKmA+XDygKmA9OAJcPlQWYDygKmQ8oCpUPlQUoCpkPmQ+VDwMDmg+VBZkPmw+ZDwMDmg+ZD5sPmw8DA5YPwwGaD5sPlwWbD5YPwwGbD5cFlwWWD5YFnA/DAZcFnA+XBZ0PnQ+XBZYFKQqcD50PnQ+WBZ4PKQqdD58Pnw+dD54Png+WBZQPoA8pCp8Png+UDycKJwqUD48PJwqPDyUKwgGeDycKnw+eD8IBoQ8nCiUKwgEnCqEPoQ8lCiYKoA+fDyoKKgqfD8IBSgCgDyoKog/CAaEPKgrCAaIPkQWhDyYKog+hD5EFkQUmCoQPSgAqCqMPow8qCqIPSw9KAKMPmAWiD5EFow+iD5gFpA+RBYQPmAWRBaQPpA+EDxwKfw+kDxwKSw+jDysKKwqjD5gFTg9LDysKTg8rCk8PpQ+kD38PpQ+YBaQPKwqYBaUPTw8rCqUP/gKlD38PTw+lD/4Cpg9FCpkFpw+mD5kFUACmD6cPpw+ZBUgKUACoD6YPqA+pD6YPpg+pD0UKqA8JA6kPSAqZBaoPSAqqD6sPmQVFCgoDmQUKA6oPCQOaBakPCQOsD5oFqQ9GCkUKqQ+aBUYKRQpHCgoDRQpGCkcKrA9KCpoFrA/+AEoKmgWeBUYKmgVKCp4FRgrJAUcKRgqeBckB/gCcBUoK/gCdBZwFSgpLCp4FSgqcBUsKngVMCskBngVLCkwKnQWtD5wFnQWuD60PnAXNAUsKnAWtD80BSwpOCkwKSwrNAU4Krg9NCq0Prg+vD00KrQ+wD80BrQ9NCrAPzQGxD04KzQGwD7EPrw+yD00Krw+aALIPTQqlBbAPTQqyD6UFsA+zD7EPsA+lBbMPmgBPCrIPmgC0D08Ksg+1D6UFsg9PCrUPpQWoBbMPpQW1D6gFtA+2D08KtA9QCrYPTwrPAbUPTwq2D88BtQ+3D6gFtQ/PAbcPUAq4D7YPUAq5D7gPtg+6D88Btg+4D7oPzwFiCrcPzwG6D2IKuQ9SCrgPuQ/QAVIKuA+qBboPuA9SCqoFug+7D2IKug+qBbsP0AG8D1IK0AG9D7wPUgq+D6oFUgq8D74PqgW/D7sPqgW+D78PvQ/AD7wPvQ+tBcAPvA8NA74PvA/ADw0Dvg9jCr8Pvg8NA2MKrQVlCsAPrQXBD2UKwA/CDw0DwA9lCsIPDQNkCmMKDQPCD2QKwQ/DD2UKwQ9TAMMPZQpmCsIPZQrDD2YKwg/ED2QKwg9mCsQPYwpkCsUPZArED2cKZApnCsUPYwrFD6sFvw9jCqsFvw+rBcYPuw+/D8YPqwXFD9IBuw/GD8cPYgq7D8cPxg+rBcgPqwXSAcgPxw/GD18Kxg/ID18KYgrHD2EKtw9iCmEKxw9fCskPYQrHD8kPtw9hCmAKqAW3D2AKYQrJDwABYAphCgABqAVgCsoPsw+oBcoPYAoAAcsPyg9gCssPsw/KD1gKsQ+zD1gKyg/LD1oKWArKD1oKsQ9YCqQFTgqxD6QFWApaCswPpAVYCswPTgqkBVEKTApOClEKpAXMD84BUQqkBc4BTApRCqAFyQFMCqAFUQrOAaMFoAVRCqMFyQGgBVMKRwrJAVMKoAWjBVQKUwqgBVQKRwpTCp8FCgNHCp8FUwpUCswBnwVTCswBCgOfBaIKqg8KA6IKnwXMAaMKogqfBaMKqg+iCpsFqw+qD5sFqw+bBcoBmwWiCqQKogqjCqQKygGbBc0PmwWkCs0PygHND0kKSQrND84PSQrOD88PzQ+kCgsDzQ8LA84PpAqjCqUKpAqlCgsDowqhBaUKowrMAaEFzw/OD6YKzw+mCtAP0A+mCtEP0A/RD1IApgrLAdEPzg/SD6YKpgrSD8sBzg8LA9IP0g/TD8sBCwOnCtIP0g+nCtMPCwOlCqcKpwqZANMPpQoMA6cKpwoMA5kApQqhBQwDDAPUD5kADAOoCtQPoQWoCgwDqAqiBdQPoQVWCqgKzAFWCqEFzAFUClYKqApXCqIFVgpXCqgKVwrVD6IFVApVClYKVgpVClcKVAqjBVUKVwrWD9UPVQrWD1cK1g//ANUPowXXD1UKVQrXD9YPowXOAdcP1g/YD/8A1w/YD9YP2A/ZD/8AzgFZCtcP1w9ZCtgPzgHMD1kK2A9bCtkPWQpbCtgPWwqnBdkPzA/aD1kKWQraD1sKzA9aCtoPWwrbD6cF2g/bD1sK2w/cD6cFWgqmBdoP2g+mBdsPWgrLD6YF2w/dD9wPpgXdD9sP3Q/RAdwPyw/eD6YFpgXeD90Pyw8AAd4P3Q+pBdEB3g+pBd0PqQXfD9EBAAFeCt4P3g9eCqkFAAHJD14KqQXgD98PXgrgD6kF4A9cCt8PyQ/hD14KXgrhD+APyQ9fCuEP4A/iD1wK4Q/iD+AP4g/jD1wKXwqsBeEP4Q+sBeIPXwrID6wF4g9dCuMPrAVdCuIPXQpRAOMPyA/kD6wFrAXkD10KyA/SAeQPXQrlD1EA5A/lD10K0gHmD+QP5A/mD+UP0gFoCuYPxQ9oCtIBxQ9nCmgKaArnD+YP5g9pCuUP5g/nD2kKaAroD+cPZwroD2gK5Q9pCukP5Q/pD1EAZwrTAegPxA/TAWcK6A8OA+cPxA/qD9MBZgrqD8QP0wFsCugP6A9sCg4D6g9uCtMB0wFuCmwKZgquBeoPww+uBWYK6g+vBW4KrgWvBeoPww/rD64FUwDrD8MPrgVxCq8F6w9xCq4FUwDsD+sP7Q/sD1MA6w/uD3EK7A/uD+sP7Q+ACuwPsgWACu0P7A8PA+4PgAoPA+wPsgXvD4AK8A/vD7IFgArxDw8D7w/xD4AK8A/yD+8P1wHyD/AP7w+xBfEP8g+xBe8P1wGzBfIP8w+zBdcB8g/0D7EFswX0D/IP8w+DCrMFhAqDCvMPswWCCvQPgwqCCrMFhAr1D4MK9g/1D4QKgwr3D4IK9Q/3D4MK9g/4D/UPnAD4D/YPnAD5D/gP+A/6D/UP9Q/6D/cP+Q+0BfgP+A+0BfoP+Q/7D7QF+w/8D7QF+w+1BfwPtAXZAfoPtAX8D9kB+g+HCvcP+g/ZAYcK9w+HCv0P9w/9D4IKtQWFCvwPtQUDAYUK/A+GCtkB/A+FCoYK2QG2BYcK2QGGCrYFhwr+D/0Phwq2Bf4PAwGJCoUKAwH/D4kKhQqICoYKhQqJCogKhgoAELYFhgqICgAQtgUBEP4PtgUAEAEQ/w8CEIkK/w8SAwIQiQoRA4gKiQoCEBEDiAoDEAAQiAoRAwMQABCNCgEQABADEI0KEgOLCgIQEgMEEIsKBBAFEIsKBBBVAAUQiwoFELcFAhCLCgYQiwq3BQYQAhAGEBEDBhC3BQcQEQMGEAgQBhAHEAgQEQMIEAMQCBAHEBMDAxAIEIwKCBATA4wKAxCMCo0KjAoTAwkQjAoJELgFjQqMCrgFuAUJEI4KjQq4BQoQARCNCgoQuAWOCgsQChC4BQsQCxCOCgwQARAKEAIB/g8BEAIBChALEA0QAgEKEA0QCxAMEA4QDRALEA4QDhAMEFQA/g8CAQ8Q/Q/+Dw8QAgENEI8KDxACAY8KDRAOEBQDjwoNEBQDDhBUABAQFAMOEBAQ/Q8PEBEQggr9DxEQggoREPQPERAPEIoKDxCPCooK9A8RENYBERCKCtYB9A/WAbEFjwoUAxIQigqPChIQEhAUAxMQFAMQEBMQigoSEIEK1gGKCoEKsQXWAX8K1gGBCn8KsQV/CvEPgQoSEH0KEhATEH0KfwqBCpsAgQp9CpsA8Q9/Cn4KfwqbAH4K8Q9+Cg8DDwN+CrAFDwOwBe4PfgqbAHsKfgp7CrAFmwB9CrkFmwC5BXsKfQoUELkFfQoTEBQQ7g+wBXQK7g90CnEKsAV7ChADsAUQA3QKewq5BXoKewp6ChADuQUVA3oKuQUUEBUDcQp0CnAKcQpwCq8FdAoQA7oFdAq6BXAKEAN6ChYDEAMWA7oFegp5ChYDegoVA3kKrwVwCtQBrwXUAW4KcAq6BXIKcApyCtQBugUWA3YKugV2CnIKFgN4CnYKFgN5CngKbgrUAW8KbgpvCmwK1AFyCrsF1AG7BW8Kcgp2CnUKcgp1CrsFdgoEAXUKdgp4CgQBbApvCm0KbAptCg4Dbwq7BdUBbwrVAW0KuwV1CnMKuwVzCtUBdQp3CnMKdQoEAXcK1QFzCqkKbQrVAbwF1QGpCrwFcwq9BakKcwp3Cr0FbQq8BWsKDgNtCmsKvAWpCqoKDgNrChUQ5w8OAxUQ5w8VEGkKawq8BRoDvAWqChoDFRBrChYQawoaAxYQaQoVEBsDFRAWEBsDaQobA+kPqQqrCqoKqQq9BasKGgOqCsAFFhAaA60KGgPABa0KGwMWEBcQFhCtChcQGwMXEL4F6Q8bA74FqgoYEMAFqgqrChgQ6Q++BRkQUQDpDxkQUQAZEBoQGhAZEBsQGhAbEGoKGRC+BRwQGRAcEBsQvgW4ChwQvgUXELgKagobELoKagq6Ch0QGxAcEB4QGxAeELoKHBC4CrcKHBC3Ch4QFxCxCrgKFxCtCrEKuAohA7cKuAqxCiEDrQofELEKrQrABR8QsQqyCiEDsQofELIKwAUcAx8QwAUYEBwDHxAgELIKHxAcAyAQIQOyCiEQsgogELAKsgqwCiEQIQMhECIQtwohAyIQtwoiECMQHhC3CiMQIhAhECQQHhAjELkKugoeELkKIxAiECUQIhAkECUQuQojECYQIxAlECYQugq5CiIDHRC6CiIDHRAiA98BIgO5CicQuQomECcQ3wEiAygQIgMnECgQ3wEoECkQKRAoECoQKRAqEL8FKBAnEMEFKBDBBSoQJxAmEN4BJxDeAcEFJhC0Ct4BJhAlELQKvwUqELsKvwW7CisQKxC7CiwQKxAsEAEBuwrCBSwQKhAtELsKuwotEMIFKhDBBS0QLRAuEMIFwQW2Ci0QLRC2Ci4QwQXeAbYKtgqdAC4Q3gG1CrYKtgq1Cp0A3gG0CrUKtQovEJ0AtQowEC8QtAowELUKMBDdAS8QtAogAzAQJRAgA7QKMBCzCt0BIAOzCjAQswoxEN0BJRAkECADswoyEDEQMhBXADEQMhAzEFcAIAM0ELMKNBAyELMKJBA0ECADNRAzEDIQNBA1EDIQNRCvCjMQJBA2EDQQNhA1EDQQIRA2ECQQIRCwCjYQNhCuCjUQrgqvCjUQsAquCjYQrgo3EK8KsArcAa4K3AE3EK4KIBDcAbAK3AEfAzcQIBA4ENwBOBAfA9wBHAM4ECAQOBA5EB8DHAM6EDgQOhA5EDgQGBA6EBwDOhDDBTkQGBCsCjoQrArDBToQqwqsChgQrAo7EMMFqwo8EKwKPBA7EKwKvQU8EKsKPBBWADsQvQU9EDwQPRBWADwQdwo9EL0FPRA+EFYAdwo/ED0QPxA+ED0QBAE/EHcKPhBAEFYABAHYAT8QeArYAQQBPxCTCj4Q2AGTCj8QPhCVCkAQkwqVCj4QlQrGBUAQeArEBdgBeQrEBXgK2AFBEJMKxAVBENgBkwpCEJUKQRBCEJMKlQpDEMYFQhBDEJUKQxBEEMYFeQpFEMQFFQNFEHkKxAWSCkEQRRCSCsQFQRCUCkIQkgqUCkEQQhDFBUMQlArFBUIQQxBGEEQQxQVGEEMQRhAdA0QQRhDJBR0DyQVHEB0DxQVIEEYQSBDJBUYQlApJEMUFSRBIEMUFShBJEJQKkgpKEJQKyQVLEEcQSxCWCkcQSBCYCskFmApLEMkFSRAFAUgQBQGYCkgQShCXCkkQlwoFAUkQSxBMEJYKTBBNEJYKmApOEEsQThBMEEsQBQFPEJgKTxBOEJgKlwqaCgUBmgpPEAUBTBCZCk0QmQpZAE0QmQpQEFkAHgOZCkwQThAeA0wQURBQEJkKHgNREJkKURBSEFAQmwoeA04QTxCbCk4QUxBREB4DmwpTEB4DywVSEFEQUxDLBVEQywWdClIQVBCbCk8QmgpUEE8QVRBTEJsKVBBVEJsKygXLBVMQVRDKBVMQVhCdCssFygVWEMsFVhDbAZ0KnwrbAVYQnwpXENsBngpWEMoFngqfClYQWBDKBVUQWBCeCsoFWRBYEFUQWRBVEFQQWhBXEJ8KWhCgClcQ2gGfCp4K2gFaEJ8KWxCeClgQWxDaAZ4KGANYEFkQGANbEFgQoQqgCloQoQpcEKAKXRBcEKEKXRBYAFwQzAVdEKEKXhChCloQzAWhCl4QXhBaENoBXxDMBV4QYBBeENoBXxBeEGAQYBDaAVsQGQNfEGAQzQVgEFsQGQNgEM0FzQVbEBgDYRAZA80FYRDNBWIQYhDNBRgDkQphEGIQYhAYA2MQkQpiEGQQZBBiEGMQYxAYA1kQZRCRCmQQYxBZEJwKnApZEFQQnApUEJoKFwNjEJwKZBBjEBcDZhCcCpoKFwOcCmYQZhCaCpcKZRBkEJAKkApkEBcDVABlEJAKZxAXA2YQkAoXA2cQyAVmEJcKZxBmEMgFyAWXCkoQVACQCmgQaBCQCmcQEBBUAGgQxwVnEMgFaBBnEMcFaRDIBUoQxwXIBWkQaRBKEJIKRRBpEJIKEBBoEHwKfApoEMcFExAQEHwKExB8ChQQahBpEEUQahDHBWkQfArHBWoQFBB8CmoQFQNqEEUQFBBqEBUDaxBsEG0QbhBrEG0QWgBrEG4QbhBtEL4KWgBvEGsQbxC8CmsQaxC8CmwQbxDPBbwKvgptEL0Kvgq9CnAQbRBsECMDbRAjA70KzwXOCrwKzwVxEM4KvArNCmwQvArOCs0KbBDMCiMDbBDNCswKcRAmA84KcRCeACYDzgrPCs0KzgomA88KzQrTBcwKzQrPCtMFngDQCiYDngDVBdAKJgPUBc8KJgPQCtQFzwrRCtMFzwrUBdEK1QVyENAK1QVzEHIQ0AoGAdQF0ApyEAYB1AV0ENEK1AUGAXQQcxDSCnIQcxB1ENIKchB2EAYBchDSCnYQBgF3EHQQBgF2EHcQdRB4ENIKdRCgAHgQ0grXBXYQ0gp4ENcFdhB5EHcQdhDXBXkQoAAoA3gQoAB6ECgDeBB7ENcFeBAoA3sQ1wV8EHkQ1wV7EHwQehB9ECgDehDUCn0QKAPYCnsQKAN9ENgKexB+EHwQexDYCn4Q1ArXCn0Q1Ap/ENcKfRCAENgKfRDXCoAQ2ArkAX4Q2AqAEOQBfxDaBdcKfxApA9oF1wqBEIAQ1wraBYEQgBCCEOQBgBCBEIIQKQODENoFKQOEEIMQ2gWFEIEQ2gWDEIUQgRCGEIIQgRCFEIYQhBCHEIMQhBDZCocQgxArA4UQgxCHECsDhRDkCoYQhRArA+QK2QroCocQ2QqIEOgKhxDnCisDhxDoCucKKwOJEOQKKwPnCokQiBCKEOgKiBBbAIoQ6ArpCucK6AqKEOkK5wqLEIkQ5wrpCosQ5AqJEOUKiRCLECwDiRAsA+UK5ArlCtwFhhDkCtwFhhDcBYwQghCGEIwQ3AXlCo0QghCMEI4Q5AGCEI4QjBDcBY8Q3AWNEI8QjhCMEOIKjBCPEOIK5AGOENsKfhDkAdsKjhDiCpAQ2wqOEJAQfhDbCtoKfBB+ENoK2wqQECoD2grbCioDfBDaCtkFeRB8ENkF2goqA5EQ2QXaCpEQeRDZBdUKdxB5ENUK2QWREJIQ1QrZBZIQdxDVCtYFdBB3ENYF1QqSEJMQ1gXVCpMQdBDWBdMK0Qp0ENMK1gWTEOMB0wrWBeMB0QrTCssK0wXRCssK0wrjAdEFywrTCtEF0wXLCsoKzArTBcoKywrRBckKygrLCskKzArKCtIFIwPMCtIFygrJCuEB0gXKCuEBIwPSBcAKvQojA8AK0gXhAcMKwArSBcMKvQrACr8KcBC9Cr8KcBC/CuABvwrACpQQwArDCpQQ4AG/CpUQvwqUEJUQ4AGVEM4FzgWVEJYQzgWWEJcQlRCUECQDlRAkA5YQlBDDCsQKlBDECiQDwwrQBcQKwwrhAdAFlxCWEMEKlxDBCpgQmBDBCpkQmBCZEFwAwQolA5kQlhCaEMEKwQqaECUDlhAkA5oQmhCbECUDJAPCCpoQmhDCCpsQJAPECsIKwgriAZsQxArFCsIKwgrFCuIBxArQBcUKxQqcEOIBxQrGCpwQ0AXGCsUKxgonA5wQ0AXHCsYK4QHHCtAF4QHJCscKxgrICicDxwrICsYKyAqdECcDyQqeEMcKxwqeEMgKyQrRBZ4QyAqfEJ0QnhCfEMgKnxCfAJ0Q0QWgEJ4QnhCgEJ8Q0QXjAaAQnxChEJ8AoBChEJ8QoRCiEJ8A4wHWCqAQoBDWCqEQ4wGTENYKoRDcCqIQ1grcCqEQ3ArdCqIQkxDYBdYK1grYBdwKkxCSENgF3AqjEN0K2AWjENwKoxCkEN0KkhDeCtgF2AXeCqMQkhCREN4KoxClEKQQ3gqlEKMQpRDlAaQQkRCmEN4K3gqmEKUQkRAqA6YQpRDbBeUBphDbBaUQ2wWnEOUBKgPfCqYQphDfCtsFKgOQEN8K2wXgCqcQ3wrgCtsF4ArhCqcQkBCoEN8K3wqoEOAKkBDiCqgQ4AqpEOEKqBCpEOAKqRCqEOEK4grmAagQqBDmAakQ4gqPEOYBqRDjCqoQ5gHjCqkQ4wpdAKoQjxCrEOYB5gGrEOMKjxCNEKsQ4wqsEF0AqxCsEOMKjRCtEKsQqxCtEKwQjRDmCq0Q5QrmCo0Q5QosA+YK5gquEK0QrRDrCqwQrRCuEOsK5gqvEK4QLAOvEOYKrBDrCrAQrBCwEF0ALAPnAa8QixDnASwDrxAIAa4QixCxEOcB6QqxEIsQ5wGyEK8QrxCyEAgBsRAIC+cB5wEIC7IQ6QrdBbEQihDdBekKsRDeBQgL3QXeBbEQihCzEN0FWwCzEIoQ3QW0EN4FsxC0EN0FWwC1ELMQthC1EFsAsxC3ELQQtRC3ELMQthDsCrUQ7QrsCrYQtRDqCrcQ7ArqCrUQ7Qq4EOwKuRC4EO0K7Aq6EOoKuBC6EOwKuRC7ELgQLQO7ELkQuBD5BboQuxD5BbgQLQPuCrsQvBDuCi0DuxC9EPkF7gq9ELsQvBD4Be4K8Ar4BbwQ7grxCr0Q+AXxCu4K8Aq+EPgFvxC+EPAK+AXAEPEKvhDAEPgFvxDBEL4QoQDBEL8QoQDCEMEQwRDDEL4QvhDDEMAQwhAwA8EQwRAwA8MQwhDEEDADxBDFEDADxBD3BcUQMAPyCsMQMAPFEPIKwxAvA8AQwxDyCi8DwBAvA8YQwBDGEPEK9wX2BcUQ9wWiAPYFxRD0CvIKxRD2BfQK8gr1Ci8D8gr0CvUKLwPHEMYQLwP1CscQogDzCvYFogDIEPMK9gXJEPQK9gXzCskQ9Ar1BfUK9ArJEPUF9QrKEMcQ9Qr1BcoQyBDLEPMKyBD0BcsQ8woxA8kQ8wrLEDEDyRDMEPUFyRAxA8wQ9QX4CsoQ9QXMEPgK9AX5CssQ9AXNEPkKzRDOEPkKzRBfAM4Q+QrOEPoKyxD5Cs8Q+Qr6Cs8QyxDPEDEDzxD6CtAQMQPPENEQzxDQENEQMQPREMwQ0RDQEOkBzBDREPMF0RDpAfMFzBDzBfgK8wXpAdIQ8wXSEPsK+ArzBfsK+wrSEPwK+Ar7CtMQyhD4CtMQ+wr8CtQQ0xD7CtQQ1BD8CtUQyhDTENYQxxDKENYQ0xDUENcQ1hDTENcQ1BDVENgQ1xDUENgQ2BDVEF4AxxDWENkQxhDHENkQ1hDXEC4D2RDWEC4D1xDYEP0KLgPXEP0K2BBeANoQ/QrYENoQxhDZENsQ8QrGENsQ8QrbEL0Q2xDZEPYK2RAuA/YKvRDbEOgB2xD2CugBvRDoAfkFLgP9CtwQ9gouA9wQ3BD9CjID/QraEDID9grcEPcK6AH2CvcK+QXoAe8K6AH3Cu8K+QXvCroQ9wrcEN0Q3BAyA90Q7wr3CgcB9wrdEAcBuhDvCt4Q7woHAd4QuhDeEOoK6greEN8F6grfBbcQ3hAHAf8K3hD/Ct8FBwHdEOoFBwHqBf8K3RDfEOoF3RAyA98QtxDfBQMLtxADC7QQ3wX/CgEL3wUBCwML/wrqBQAL/woACwEL6gUzAwAL6gXfEDMDtBADCwULtBAFC94FAwsBC+oBAwvqAQULAQsACwILAQsCC+oBAAvgEAILAAszA+AQ3gUFCwcL3gUHCwgLBQvqAQYLBQsGCwcL6gECC+IF6gHiBQYLAgsEC+IFAgvgEAQLCAsHCwkLCAsJC7IQBwsGCwoLBwsKCwkLBgviBQsLBgsLCwoL4gXrAQsL4gUEC+sBshAJC+AFshDgBQgBCQsKCzUDCQs1A+AFCgsLCwwLCgsMCzUDCwvhEAwLCwvrAeEQNQMMCw8L4AU1Aw4LNQMPCw4LDAvpBQ8LDAvhEOkF4AUOCw0LCAHgBQ0LDgsPC+IQCAENC+MQrhAIAeMQrhDjEOsKDQsOC+wBDgviEOwB4xANC+QQDQvsAeQQ6wrjEOEF4xDkEOEF6wrhBbAQDwsQC+IQDwvpBRAL7AHiEOgF5BDsARML7AHoBRML4QXkEOUQ5BATC+UQ4QXlEBELsBDhBREL4hDmEOgF4hAQC+YQsBARC+cQXQCwEOcQXQDnEOgQ6BDnEOkQ6BDpEBIL5xARC+oQ5xDqEOkQEQs6A+oQEQvlEDoDEgvpEBQLEgsUC+sQ6RDqEOwQ6RDsEBQL6hA6A+0Q6hDtEOwQ5RAVCzoD5RATCxULOgMdC+0QOgMVCx0LEwvuEBULEwvoBe4QFQs7Ax0LFQvuEDsD6AU5A+4Q6AXmEDkD7hDvEDsD7hA5A+8QHQs7A/AQOwPvEB4LOwMeC/AQHQvwEPEQ7RAdC/EQ7RDxEPIQ7BDtEPIQ8RDwEPMQ7BDyEBcLFAvsEBcL8hDxEPQQ8RDzEPQQFwvyEAkB8hD0EAkBFAsXCzwD6xAUCzwD6xA8A/IBPAMXC/UQFwsJAfUQ8gE8A/YQPAP1EPYQ8gH2EPcQ9xD2EPgQ9xD4EBYL9hD1EOMF9hDjBfgQ9RAJAfkQ9RD5EOMFCQHkBfkQCQH0EOQFFgv4EBgLFgsYC/oQ+hAYC/sQ+hD7EKMAGAs9A/sQ+BD8EBgLGAv8ED0D+BDjBfwQ/BD9ED0D4wUZC/wQ/BAZC/0Q4wX5EBkLGQvzAf0Q+RAaCxkLGQsaC/MB+RDkBRoLGgv+EPMBGgv/EP4Q5AX/EBoL/xA+A/4Q5AUbC/8Q9BAbC+QF/xDlBT4DGwvlBf8Q5QUAET4D9BDzEBsL5QUBEQARARFhAAARARECEWEAGwsDEeUFAxEBEeUF8xADERsLBBECEQERAxEEEQERBBHmBQIR8xAFEQMRBREEEQMR8BAFEfMQ8BAeCwURBREcCwQ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HKwcpB/sDFAArB/sDFAD7AywHKwf8AykHKQf8A7wAKwf9A/wDLAf7Ay0H+wMqBy4H+wMuBy0HLActBwIELAcCBEQBLQcuBwEELQcBBAIEKgcvBy4HKge8AC8HLgdDAgEELgcvB0MCRAECBAQERAEEBAUEAgQBBEQCAgREAgQEAQRDAjAHAQQwB0QCLwcxB0MCQwIGBDAHQwIxBwYELwcABDEHvAAABC8HvAAyBwAE/AMyB7wA/AMzBzIH/QMzB/wD/QNGAjMH/QN2AEYCMwf+AzIHMwdGAv4DMgc0BwAEMgf+AzQHAAQ0BzUHAAQ1BzEH/gP/AzQHRgI2B/4D/gM2B/8DRgI3BzYHdgA3B0YCMQc1BzgHdgA5BzcHdgC+ADkHMQc4BwYENwdIAjYHNwc5B0gCNgdIAjoHNgc6B/8DOQcNBEgCvgANBDkHSAI7BzoHSAINBDsHvgA8Bw0EvgA9BzwHDQQ+BzsHDQQ8Bz4HOgc7B3cAPQc/BzwHPQdIAT8HOwc+B0oCOwdKAncAOgd3AEAH/wM6B0AHSAEQBD8HSAERBBAEEQRBBxAE/wNAB0YBNAf/A0YBNAdGATUHNQdGAUIHNQdCBzgHRgFABwMERgEDBEIHQAdDBwMEQAd3AEMHQgcDBEQHOAdCB0UHQgdEB0UHAwRJAkQHAwRDB0kCRQdEB0cCRAdJAkcCOAdFBwcEBwRFB0cCBgQ4BwcERwJJAr0AQwdGB0kCSQJGB70ARwK9AEcHRgcLBL0ASAdHAkcHBwRHAkgHSAdHB3gABgQHBEUBRQEHBEgHMAcGBEUBCgRIB3gARQFIBwoEMAdFAQgECARFAQoERAIwBwgESQcKBHgACAQKBEkHSQd4AEUCRAIIBEoHSgcIBEkHBAREAkoHCQRJB0UCSgdJBwkEBARKB0sHSwdKBwkEBQQEBEsHTAcJBEUCSwcJBEwHBQRLB0wHFgBMB0UCBQRMBxYAPAc/B0cBPwdNB0cBPwcQBE0HPAdHAU4HPAdOBz4HRwFNBw8ERwEPBE4HEAROAk0HEARBB04CTQdPBw8ETQdOAk8HPgdOBw4EPgcOBEoCTgcPBFAHTgdQBw4EDwRRB1AHDwRPB1EHTgITBE8HTgJBBxMETwdNAlEHTwcSBE0CTwcTBBIEUQdNAlIHUAdRB1MHUQdSB1MHTQJUB1IHTQISBFQHUgdUB0sBUAdTB0kBDgRQB0kBUwdSB1UHUgdLAVUHSQFTB1YHUwdVB1YHDgRJAVcHSgIOBFcHSQFWB0sCVwdJAUsCSgJXB1gHWAdXB0sCdwBKAlgHdwBYB0MHQwdYB0YHWAdLAkYHSwIMBEYHSwJWBwwERgcMBAsEDARKAQsEVgdMAgwEDARMAkoBVgdVB0wCTAJZB0oBVQdLAUwCTAJLAVkHSwEXAFkHSwEUBBcAVAcUBEsBEgQUBFQHEgRPAhQEEwRPAhIEFARaBxcAEwRbB08CQQdbBxMETwJMARQEFARcB1oHFARMAVwHTwIXBEwBWwcXBE8CTAFdB1wHXAcWBFoHXAddBxYETAFeB10HFwReB0wBWgcWBF8HFwBaB18HXQdgBxYEFwBfByEEFwAhBGEHFgRiB18HFgRgB2IHXwdjByEEXwdiB2MHYQchBCIEYQciBE4BTgEiBCMEYAdNAWIHXQcbBGAHXgcbBF0HGwRQAmAHYAdQAk0BXgdkBxsEGwRlB1ACZAdlBxsEeQBkB14HFwR5AF4HZAdRAmUHZgd5ABcEWwdmBxcEeQC/AGQHvwBRAmQHZgdnB3kAZwe/AHkAaAdmB1sHQQdoB1sHFQRnB2YHaAcVBGYHFQBoB0EHFQAVBGgHEQQVAEEHFQRpB2cHZwdqB78AaQdqB2cHagdrB78AvwBrB1ECaQdfAmoHFQRsB2kHbAdfAmkHYAJsBxUEFQBgAhUEbAcZBF8CYAIZBGwHFQBtB2ACGARtBxUAYAJuBxkEbQduB2ACGAQ9BG0HVAE9BBgEbwc9BFQBGQRwB18CXwIcBGoHXwJwBxwEagccBGsHGQRxB3AHbgdxBxkEcAdyBxwEHAQdBGsHHARyBx0EcAc1BHIHcQc1BHAHawcdBHMHawdzB1ECcgcfBB0ENQRRAXIHcgdRAR8EUQJzBx4EUQIeBGUHHQR0B3MHHQQfBHQHcwd1Bx4Ecwd0B3UHZQceBHYHZQd2B1ACHgR1B1ICHgRSAnYHdAd3B3UHdQd3B1ICdAcgBHcHHwQgBHQHdwdZAlICIARZAncHHwR4ByAEUQF4Bx8EIAR5B1kCeAd5ByAEeQd6B1kCUgJZAhgAWQJ6BxgAUgIYAHsHdgdSAnsHewcYAHwHdgd7B30HfQd7B3wHUAJ2B30HUAJ9B00BegcpBBgAfAcYACgEegd+BykEfgdYASkEfAcoBCcEJwQoBFABJwRQAX8HJwR/B4AHgAd/BxkAgAcZAFcCfgctBFgBLQSBB1gBLQQuBIEHLgQdAIEHLgQvBB0AggcuBC0ELAQtBH4HLASCBy0EKgQsBH4HKgR+B3oHgweCBywEhAcsBCoEhAeDBywEhQcqBHoHhQeEByoEeQeFB3oHXQIuBIIHgwddAoIHXQKGBy4EhgcvBC4EKwSFB3kHeAcrBHkHKwRbAoUHWwKEB4UHhwcrBHgHUQGHB3gHiAdbAisEhweIBysEiQeHB1EBNQSJB1EBNASIB4cHiQc0BIcHwgCJBzUEcQfCADUEigc0BIkHwgCKB4kHUgHCAHEHbgdSAXEHNgSKB8IAUgE2BMIAigeLBzQENgSLB4oHiwdaAjQENARaAogHjAdSAW4HbQeMB24HjAc3BFIBNwQ2BFIBGgSMB20HjQc3BIwHGgSNB4wHPQQaBG0HPQRTARoEUwGNBxoEPQRhAlMBUwGOB40HYQKOB1MBjwdhAj0EbwePBz0EwACPB28HwACQB48HjweQB2ECwAB6AJAHYQKRB44HkAeRB2ECegCSB5AHegA8BJIHkAc7BJEHkAeSBzsEkQeTB44HkQc7BJMHjgeTB5QHjgeUB40HjQeUB5UHjQeVBzcElQeWBzcENwSWBzYElAfBAJUHlQfBAJYHkweXB5QHlAeXB8EAlgc4BDYEwQA4BJYHlweYB8EAwQCYBzgEkwdVAZcHOwRVAZMHlweZB5gHVQGZB5cHmAdjAjgEmQdjApgHYwKaBzgEYwJWAZoHOASaBxoAOAQaADYENgQaAIsHGgBaAosHOQRWAWMCmQc5BGMCOQQ6BFYBZAI5BJkHVQFkApkHmwc6BDkEZAKbBzkEmwcbADoEnAcbAJsHPAScB5sHPASbB2ICYgKbB2QCPARiApIHnQdkAlUBYgJkAp0HkgdiAp0HOwSdB1UBkgedBzsEGgCeB58HGgCfB1oCngegB58HngdXAaAHWgKfB6EHWgKhB4gHiAehB1sCVwFcAqAHVwEyBFwCnwegBzMEoQeiB1sCWwKiB4QHnwejB6EHoQejB6IHnwczBKMHogfFAIQHowfFAKIHxQCDB4QHMwSkB6MHowekB8UAxQClB4MHpAelB8UApQddAoMHMwSmB6QHoAemBzMEoAdcAqYHpgenB6QHpAenB6UHpQeoB10CpweoB6UHqAeGB10CpgdeAqcHXAJeAqYHpwcwBKgHqAcwBIYHMAQvBIYHMARZAS8EpwcxBDAEMQRZATAEXgIxBKcHMQSpB1kBXAKqB14CXgKqBzEEqgepBzEEMgSqB1wCHACpB6oHMgQcAKoHIQRjB1MCIQRTAiIEYwerB1MCIgRTAsMAUwKrB6wHUwKsB8MAIgTDACQEwwCsB60HwwCtByQEIgQkBK4HIwQiBK4HIwSuB8QAxACuB68Hrgd7AK8HJAQlBK4HrgclBHsAJAStByUEJQSwB3sArQewByUEsAdXAnsAsAexB1cCsQeAB1cCrQdWArAHVgKxB7AHrQeyB1YCrAeyB60HVgKzB7EHsgezB1YCWAKAB7EHswdYArEHTwGAB1gCtAdYArMHsge0B7MHtAdPAVgCTwEnBIAHVQK0B7IHrAdVArIHqwdVAqwHVQK1B7QHtQdPAbQHqwe2B1UCtge1B1UCYwe2B6sHVAInBE8BtQdUAk8BVAJ8BycEYwe3B7YHtwe1B7YHYge3B2MHYgdNAbcHtwcmBLUHJgRUArUHTQEmBLcHJgR8B1QCTQF9ByYEfQd8ByYEPgS4B7kHuAc/BLkHWwG4Bz4EHgBbAT4EHgA+BLoHWwFpArgHuAdpAj8EWwG7B2kCugc+BLwHuge8B70HPgS5B74HPgS+B7wHuwe/B2kCuwdABL8HaQK/B8AHaQLABz8EQARBBL8HQARcAUEEvwdqAsAHvwdBBGoCPwTAB8gAuQc/BEkEuQdJBL4HPwTIAEkEwAdNBMgAwAdqAk0ESQTIAEoEvgdJBEgESQRKBEgEyABMBEoEyABNBEwEvgdIBFoBvAe+B1oBSARKBF0BvAdaAUIEvQe8B0IEvQdCBMYAWgFIBEYESARdAUYEQgRaAcEHWgFGBMEHxgBCBEMEQgTBB0MExgBDBGUCSgRLBF0BSgRMBEsERgRdAcIHwQdGBGYCRgTCB2YCQwTBB8MHwQdmAsMHQwTDB8QHZQJDBMQHXQFHBMIHXQFLBEcEZQLEB8UHZQLFByAAxQfHACAAxAfGB8UHxQfGB8cAxAfDB8YHxgdEBMcAwwdEBMYHwwdmAkQERARnAscAZgJFBEQERARFBGcCZgLCB0UERQTHB2cCwgfIB0UERQTIB8cHwgdHBMgHyAfJB8cHyAdoAskHRwRoAsgHaAJ8AMkHRwTKB2gCSwTKB0cEaAJtAnwASwTLB8oHygfMB2gCzAdtAmgCywfMB8oHTATLB0sEyQBtAswHywfJAMwHTARrAssHawLJAMsHTQRrAkwEbQLNB3wAzQdQBHwAyQDOB20CzgfNB20CawLPB8kAzwfOB8kATQTQB2sC0AfPB2sCagLQB00EzQdyAlAEcgJfAVAEcgLRB18BagLSB9AHQQTSB2oC0AfTB88H0gfTB9AHQQTUB9IHXAHUB0EE0gdsAtMH1AdsAtIHXAHVB9QH1AfVB2wCXAF9ANUH0wdOBM8HzwdOBM4HbALWB9MH0wfWB04E1QdPBGwCfQBPBNUHbAJPBNYHfQDXB08EfQDYB9cHTwRRBNYHTwTXB1EE1gfZB04E1gdRBNkHTgTaB84HTgTZB9oHzgfaB80H2AdTBNcH2AdwAlMEcAJUBFME2gduAs0HbgJyAs0H2gfbB24C2QfbB9oHbgLcB3IC2QdxAtsHUQRxAtkH2wdSBG4CcQJSBNsHUgTcB24C3AdVBHICcgJVBNEHVQQhANEH3AfdB1UEUgTeB9wH3gfdB9wHcQLfB1IE3wfeB1IE4AffB3ECUQTgB3EC3QdWBFUEVgQhAFUE3gfKAN0HygBWBN0H3wfhB94H4QfKAN4H4AfiB98H4gfhB98HUQReAeAHXgHiB+AH1wdeAVEE1wdTBF4BXgFvAuIHUwRvAl4B4gfjB+EHbwLjB+IH4QfkB8oA4wfkB+EH5AdWBMoAbwJzAuMHUwRzAm8C4wflB+QH5AflB1YEUwTmB3MCVATmB1MEcwJXBOMH4wdXBOUHcwLmB1cEVAQfAOYH5QdaBFYEVwRZBOUH5QdZBFoE5gfnB1cEVwTnB1kE5gfoB+cHHwDoB+YHVgRaBOkHVgTpByEAWQR0AloE5wfLAFkEWQTLAHQC6AfqB+cH5wfqB8sA6AdYBOoHHwBYBOgHWgR0AusHWgTrB+kH6QfrB+wH6QfsByEAdALtB+sH6wd1AuwH6wftB3UCIQDsB10E7Ad1Al0EIQBdBO4HIQDuB+8HdALwB+0HywDwB3QC7QfxB3UCywBbBPAH6gdbBMsA8AdcBO0H7QdcBPEHWwRhAfAH8AdhAVwE6gfyB1sEdQLxB/MHdQLzB10EWwSCBGEB8geCBFsEWATyB+oHXQTzB2EEXQRhBO4HggR8AmEBWAT0B/IH8gd+BIIE9Ad+BPIHfgSABIIEggSABHwC9Ad2BH4EWAT1B/QH9Qd2BPQHfwL1B1gEHwB/AlgE9QdgAXYEfwJgAfUHHwD2B38CdwT2Bx8AfwL3B2AB9gf3B38CdwR4BPYHgQJ4BHcE+Ad4BIECYAH5B3YEdgR9An4EdgT5B30CfgR9AoAEYAH6B/kH9wf6B2AB+Qd1BH0CfQJ/BIAEfQJ1BH8E+QfMAHUE+gfMAPkHgAR/BIEEgASBBHwCdQRoAX8EzAD7B3UEdQT7B2gBfwT8B4EEfwRoAfwHfAKBBGcEgQT8B/0HgQT9B2cEfAJnBP4HYQF8Av4HYQH+B1wEXAT+B3cCXAR3AvEH/gdnBP8H/gf/B3cCZwT9B80AZwTNAP8H/AcACP0H/QcACM0A/AeGAgAIaAGGAvwHAAiIAs0AhgKIAgAIaAEBCIYC+wcBCGgBhgICCIgCAQgCCIYCAggDCIgCzQCIAiQAiAIDCCQAzQAkAAQI/wfNAAQIBAgkAAUI/wcECAYIBggECAUIdwL/BwYIBQgkAGMEAwhoBCQABQhjBHsCewJjBGIEewJiBHoCAwiMAmgEjAJqBGgEjAKLAmoEewJ6AgcIBwh6AiUACAgHCCUACAglANEAjAIJCIsCCQgmAIsCbAQmAAkIbASKAiYACggJCIwCCwhsBAkICggLCAkIDAiKAmwEDAjQAIoCagEKCIwCagGMAgMIbQTQAAwIbQQNCNAADggNCG0EDggPCA0IJwAPCA4IbgQnAA4IEAhqAQMIAggQCAMIbgQOCG8EaQFuBG8EEQhpAW8EaQQQCAIIAQhpBAIIEAgSCGoBEwhpBAEI+wcTCAEIaQQUCBAIFAgSCBAIEwgVCGkEFQgUCGkEFggTCPsHzAAWCPsHfgIVCBMIFgh+AhMIZwEWCMwA+gdnAcwAFwh+AhYIZwEXCBYIdARnAfoH9wd0BPoHcgQXCGcBdARyBGcBGAh0BPcH9gcYCPcHGQhyBHQEGAgZCHQEYgEYCPYHGggZCBgIYgEaCBgIeARiAfYHeASAAmIBgAIaCGIBeATOAIACgAIbCBoIzgAbCIACHAjOAHgE+AccCHgEfgAcCPgHfgB5BBwIHAh5BM4AfgBjAXkEzgAdCBsIeQQdCM4AYwEeCHkEYwF6BB4IeQSCAh0IeQQeCIICHQgfCBsIHQiCAh8IGwgfCCAIGwggCBoIegQhCB4IegQiCCEIHggjCIICHgghCCMIggJ7BB8IggIjCHsEIggkCCEIIghkASQIZAEjACQIJAgjAHwEIQiDAiMIIQgkCIMCIwiDAnsEJAh8BIQCgwIkCIQChAJ8BGUBhAJlASUIgwKEAiYIewSDAiYIhAIlCH0EJgiEAn0EfQQlCCIAewQmCCcIHwh7BCcIHwgnCCAIJwgmCCgIJgh9BCgIIAgnCGYBJwgoCGYBKAh9BHMEZgEoCHMEcwR9BCIAIAhmASkIKQhmAXMEGgggCCkIGggpCBkIKQhzBBkIGQhzBHIEcwQqCHIEcwQiACoIcgQqCBcIKggrCBcIKggiACsIFwgrCH4CKwhxBH4CIgBxBCsIfgJxBBUIIgAsCHEEIgARCCwIcQRwBBUIcQQsCHAEFQhwBBQIEQhvBCwILAjPAHAELAhvBM8AcASNAhQIFAiNAhIIcATPAC0IcAQtCI0CbwSFAs8AzwAuCC0IzwCFAi4ILQgvCI0CLQguCC8IjQJrBBIIjQIvCGsEEghrBGoBawQKCGoBawQwCAoILwgwCGsEMAgLCAoILggxCC8ILwgxCDAIMAiJAgsIMQiJAjAIiQJsBAsILggyCDEIhQIyCC4IMQgzCIkCMwhsBIkCMggzCDEIMwgMCGwEMggMCDMIMghtBAwIhQKHAjIIhwJtBDIIbwSHAoUChwIOCG0EbwQOCIcC8QdmBPMH8Qd3AmYEdwIGCGYE8wdmBDQIZgQGCGUEZgRlBDQIBggFCGUE8wc0CGEEZQQFCGQEZAQFCHsCNAhlBDUIZQRkBDUIYQQ0CDYINAg1CDYINQhkBH8ANgg1CH8AZAR7AjcIfwBkBDcINwh7AgcINwgHCDgIOAgHCAgIfwA3CDkIOQg3CDgINgh/ADoIOgh/ADkIOwg2CDoIYQQ2CDsIeQI4CAgIOQg4CHkCYQQ7CGsB7gdhBGsBOwg6CDwIawE7CDwIOgg5CD0IPQg5CHkCPAg6CD0IPQh5Aj4IPgh5AggIPAg9CD8IPwg9CD4IawE8CHYCdgI8CD8IPggICEAIPwg+CEAIQAgICNEAQAjRAHgCbQFACHgCPwhACG0BbQF4AkEIdgI/CGAEYAQ/CG0BQghtAUEIYARtAUIIQghBCEMIgABCCEMIXwRCCIAAXgRgBEIIXwReBEIIXgR2AmAEbAFeBF8EXgRrAXYC7wdeBGwB7gdrAV4E7wfuB14EgwRECEUIRAiEBEUIbwFECIMEKABvAYMEKACDBEYIbwGSAkQIRAiSAoQEbwFHCJICRgiDBEgIRghICEkIgwRFCEoIgwRKCEgIRwhLCJICRwiFBEsIkgJLCEwIkgJMCIQEhQSGBEsIhQRwAYYESwiTAkwISwiGBJMChARMCNQARQiEBI4ERQiOBEoIhATUAI4ETAiSBNQATAiTApIEjgTUAI8ESgiOBI0EjgSPBI0E1ACRBI8E1ACSBJEESgiNBG4BSAhKCG4BjQSPBHEBSAhuAYcESQhICIcESQiHBNIAbgGNBIsEjQRxAYsEhwRuAU0IbgGLBE0I0gCHBIgEhwRNCIgE0gCIBI4CjwSQBHEBjwSRBJAEiwRxAU4ITQiLBJACiwROCJACiARNCE8ITQiQAk8IiARPCFAIjgKIBFAIcQGMBE4IcQGQBIwEjgJQCFEIjgJRCCoAUQiPAioAUAhSCFEIUQhSCI8CUAhPCFIIUgiJBI8CTwiJBFIITwiQAokEiQTTAI8CkAKKBIkEiQSKBNMAkAJOCIoEigRTCNMATghUCIoEigRUCFMITgiMBFQIVAhVCFMIVAiRAlUIjASRAlQIkQKBAFUIjARWCJECkARWCIwEkQKWAoEAkARXCFYIVghYCJECWAiWApECVwhYCFYIkQRXCJAE1QCWAlgIVwjVAFgIkQSUAlcIlALVAFcIkgSUApEElgJZCIEAWQiVBIEA1QBaCJYCWghZCJYClAJbCNUAWwhaCNUAkgRcCJQCXAhbCJQCkwJcCJIEWQiXBJUElwRzAZUEkwJdCFwIhgRdCJMCXAheCFsIXQheCFwIhgRfCF0IcAFfCIYEXQiVAl4IXwiVAl0IcAFgCF8IXwhgCJUCcAGCAGAIXgiTBFsIWwiTBFoIlQJhCF4IXghhCJMEYAiUBJUCggCUBGAIlQKUBGEIggBiCJQEggBjCGIIlASWBGEIlARiCJYEYQhkCJMEYQiWBGQIkwRlCFoIkwRkCGUIWghlCFkIYwiZBGIIYwiZApkEmQKaBJkEZQiXAlkIlwKXBFkIZQhmCJcCZAhmCGUIlwJnCJcEZAiaAmYIlgSaAmQIZgiYBJcCmgKYBGYImARnCJcCZwibApcElwSbAnMBmwJoCHMBmwKdAmgIZwhpCJsCaQidApsCmARqCGcIaghpCGcIawhqCJgEmgJrCJgEaghsCGkIbAidAmkInQIpAGgIbQhsCGoIawhtCGoIbghrCJoClgRuCJoCbwhtCGsIbghvCGsIlgRyAW4IcgFvCG4IYghyAZYEYgiZBHIBcgGYAm8ImQSYAnIBbwhwCG0ImAJwCG8ImQScApgCmAKcAnAImQRxCJwCmgRxCJkEnAKcBHAInAJxCJwEmgQrAHEIcAjWAG0IbQjWAGwIcAicBJsEcAibBNYA1gByCGwI1gCbBHIIbAhyCJ0CcghzCJ0CmwSdBHIIcgidBHMInQJzCCkAmwSfBJ0EnASfBJsEnQR0CHMInAR1CJ8EcQh1CJwEnwSgBJ0EnQSgBHQIdQh0AZ8EnwR0AaAEcQh2CHUIKwB2CHEIdQh3CHQBdgh3CHUIKwCeBHYIdgieBHcIdAF4CKAEdwihBHQBdAGhBHgIdwh5CKEEngR5CHcIoAR4CHoIoAR6CHQIoQR2AXgIeQjJBKEEoQTJBHYBeAiiBHoIeAh2AaIEdAh6CJ4CegiiBHsIegh7CJ4CdAieAnwIcwh0CHwIcwh8CCkAfAieAqMEKQB8CKMEngJ7CH0IngJ9CKMEKQCjBH4IKQB+CH8IowR9CKYEowSmBH4IewitBH0Ifwh+CKQEfwikBIIBggGkBKUEfgiBAaQEfgimBIEBpQSkBIAIpQSACIQAhACACIEIgAiCCIEIgAinBIIIpwTZAIIIpASgAoAIoAKnBIAIpASfAqACpASBAZ8CoAKDCKcEnwKDCKACpwSECNkAgwiECKcEhAiiAtkAnwKFCIMIgQGFCJ8ChAioBKICqAQvAKICgwiGCIQIhgioBIQIhQiHCIMIgwiHCIYIgQGICIUIpgSICIEBhQiJCIcIiAiJCIUIhwihAoYIhgihAqgEiQiKCIcIhwiKCKECiAiLCIkIpgSLCIgIoQKMCKgEigiMCKECjAiNCKgEqASNCC8AjQijAi8AjgiNCIwIigiOCIwIpAKjAo0IjgikAo0IpAKpBKMCpAKqBKkEjwiqBKQCqwSkAo4IqwSPCKQCgAGOCIoIgAGrBI4IiQiAAYoIiwiAAYkIkAirBIABiwiQCIABrASrBJAIrASPCKsEkQiQCIsIkQisBJAIpgSRCIsIfQiRCKYEfQitBJEIrQSsBJEIkgiPCKwErQSSCKwEpQKSCK0EewilAq0EogSlAnsIogSTCKUCdgGTCKIEpQKUCJIIkwiUCKUCkgiVCI8IlAiVCJIIlQguAI8IjwguAKoElAjXAJUI1wAuAJUIkwiuBJQIrgTXAJQIdgGmApMIpgKuBJMIyQSmAnYBrgSWCNcApgLIBK4EyASWCK4ExwTIBKYCyQTHBKYCyASXCJYIxQTHBMkEeQjFBMkExwTGBMgExgSXCMgExQSnAscEpwLGBMcEmAjFBHkIngSYCHkIvQSnAsUEmAi9BMUEngSZCJgImQi9BJgIqQKZCJ4EKwCpAp4EmQh1Ab0EqQJ1AZkIKwCaCKkCdQGbCL0EvQSbCKcCvgSaCCsAqQKcCHUBmgicCKkCdQGdCJsInAidCHUBmwi8BKcCpwK8BMYEnQiDAJsImwiDALwEnAi7BJ0IvAR9AcYExgR9AZcIgwCeCLwEvASeCH0BnQh8AYMAuwR8AZ0IgwCfCJ4IfAGfCIMAngigCH0BfQGwApcIfQGgCLAClwiwAqEIlwihCJYIlgihCNcAoQiyAtcAsAKyAqEI1wCyAi4AoAiiCLACsAKiCLICsgKjCC4AogijCLICowivBC4Aowi2Aq8EtgKxBK8EtgK1ArEEtgKkCLUCpAgxALUCpAi0AjEAogilCKMIfwG2AqMIpQh/AaMIfwGmCLYCpgikCLYCpQinCH8BpgioCKQIsASlCKIIoAiwBKIIqQinCKUIsASpCKUIpwiyBH8BsgSmCH8BqQi3AqcItwKyBKcIqgiwBKAIngiqCKAInwiqCJ4IqgirCLAEqwipCLAEnwioAqoIqAKrCKoItwS3AqkIqwi3BKkIqAK4BKsIuAS3BKsIrAioAp8IfAGsCJ8IrQi4BKgCrAitCKgCuQSsCHwBuwS5BHwBrgitCKwIuQSuCKwILAC4BK0IrggsAK0IugSuCLkEugQsAK4Irwi5BLsErwi6BLkEsAivCLsEsAi7BJwImgiwCJwIsQivCLAIdwGwCJoIdwGxCLAIvwR3AZoIvgS/BJoIqwK/BL4Esgi/BKsCvwSqAncBqgKxCHcBsgizCL8EhQCzCLIIvwTYAKoCswjYAL8EhQDABLMIswjABNgAhQB4AcAE2AC0CKoCqgK0CLEIwAS1CNgA2AC1CLQIeAG2CMAEeAHBBLYIwASsArUIwAS2CKwCtQi3CLQItQisArcItAi3CLgItAi4CLEIwQS5CLYIwQS6CLkItgi7CKwCtgi5CLsIrALCBLcIrAK7CMIEugi8CLkIugh5AbwIeQEtALwIvAgtAMMEuQitArsIuQi8CK0CuwitAsIEvAjDBK4CrQK8CK4CrgLDBHoBrgJ6Ab0IrQKuAr4IwgStAr4IrgK9CMQEvgiuAsQExAS9CCwAwgS+CL8ItwjCBL8Itwi/CLgIvwi+CMAIvgjEBMAIuAi/CHsBvwjACHsBwAjEBLoEewHACLoEugTEBCwAuAh7AcEIwQh7AboEsQi4CMEIwQi6BK8IsQjBCK8ILADCCLgELADDCMIIuATCCLcEwwi2BMIIwwh+AbYEfgG1BLYEwgjaALcEwgi2BNoAtwTaAMQItwTECLcCtQTFCLYEtQQwAMUIMADGCMUIxQjGCMcIxAjICLcCtwLICLIExAjJCMgI2gDJCMQIyAjKCLIEsgTKCKYIygioCKYIyAjLCMoIyQjLCMgIygizAqgIywizAsoIswKkCKgIyQjMCMsI2gCvAskIrwLMCMkItgSvAtoAtgSxAq8CrwKxAswItgTFCLECsQLFCLQEsQK0BMwIxQjHCLQEtATHCNsAtATbAM0IzAi0BM0IzQjbALQCzAjOCMsIzAjNCM4IywjOCLMCzQi0ArMEzgjNCLMEzgizBLMCswS0AqQIswKzBKQIygTPCNAIzwjLBNAIugLPCMoEMgC6AsoEMgDKBNEIugKFAc8IzwiFAcsEugLSCIUB0QjKBNMI0QjTCNQIygTQCNUIygTVCNMI0gjWCIUB0giGANYIhQHWCNcIhQHXCMsEhgDMBNYIhgCGAcwE1gi7AtcI1gjMBLsCywTXCN0A0AjLBNUE0AjVBNUIywTdANUE1wjZBN0A1wi7AtkE1QTdANYE1QjVBNQE1QTWBNQE3QDYBNYE3QDZBNgE1QjUBIMB0wjVCIMB1ATWBIcB0wiDAc4E1AjTCM4E1AjOBNwAgwHUBNIE1ASHAdIEzgSDAdgIgwHSBNgI3ADOBM8EzgTYCM8E3ADPBIQB1gTXBIcB1gTYBNcE0gSHAdkI2AjSBLgC0gTZCLgCzwTYCNoI2Ai4AtoIzwTaCNsIhAHPBNsIhwHTBNkIhwHXBNMEhAHbCNwIhAHcCDQA3AiIATQA2wjdCNwI3AjdCIgB2wjaCN0I3QjQBIgB2gjQBN0I2gi4AtAE0ATfAIgBuALRBNAE0ATRBN8AuALZCNEE0QTeCN8A2QjfCNEE0QTfCN4I2QjTBN8I3wjgCN4I3wi5AuAI0wS5At8IuQKHAOAI0wThCLkC1wThCNMEuQLAAocA1wTiCOEI4QjjCLkC4wjAArkC4gjjCOEI2ATiCNcE4ADAAuMI4gjgAOMI2AS9AuIIvQLgAOII2QS9AtgEwALkCIcA5AjcBIcA4ADlCMAC5QjkCMACvQLmCOAA5gjlCOAA2QTnCL0C5wjmCL0CuwLnCNkE5AjDAtwEwwKLAdwEwwLoCIsBuwLpCOcIzATpCLsC5wjqCOYI6QjqCOcIzATrCOkIhgHrCMwE6QjNBOoI6wjNBOkIhgHsCOsI6wjsCM0EhgHeAOwI6gjaBOYI5gjaBOUIzQTtCOoI6gjtCNoE7Ai8As0E3gC8AuwIzQS8Au0I3gDuCLwC3gDvCO4IvALwCO0IvALuCPAI7Qi/AtoE7QjwCL8C2gTxCOUI2gS/AvEI5QjxCOQI7wjyCO4I7wiKAfII8QjBAuQIwQLDAuQIvwLzCPEI8QjzCMECvwLbBPMI8AjbBL8C8wjeBMEC2wTeBPMIwQL0CMMC3gT0CMEC9AjfBMMCwwLfBOgI3wQ1AOgI8Aj1CNsE7gj1CPAI2wT2CN4E9Qj2CNsE7gjdBPUI7gjyCN0E9QiJAfYI3QSJAfUI9gj3CN4E3gT3CPQIiQH4CPYI9gj4CPcI3QT5CIkB8gj5CN0EiQH6CPgI+Qj6CIkB8gi+AvkIigG+AvIIigHhBL4CvgLCAvkI+QjCAvoI4QT7CL4CvgL7CMIC4QQzAPsIwgLiBPoIwgL7COIE+gjiBPwI+gj9CPgI+gj8CP0I+Aj9CIgA+AiIAPcI/Qj8COAE/QjgBIgA9wiIAP4IiADgBP4I9wj+CPQI9Aj+CN8E/gjgBN8E4AQ1AN8E/AjlBOAE4AT/CDUA4ATlBP8I/AjkBOUE4gTkBPwI5QQACf8I4gQBCeQE+wgBCeIE5ATEAuUE5QTEAgAJAQnhAOQE5AThAMQC+wgCCQEJMwACCfsIAQkDCeEAAgkDCQEJMwDjBAIJAgnjBAMJ4QAECcQCAwnmBOEA4QDmBAQJAwkFCeYE4wQFCQMJxAIECQYJxAIGCQAJ5gSOAQQJBQn2BOYE5gT2BI4BBAnnBAYJBAmOAecEAAkGCcUCBgnnBAcJBgkHCcUCAAnFAggJ/wgACQgJ/wgICTUACAnFAugENQAICegExQIHCQkJxQIJCegENQDoBAoJNQAKCQsJ6AQJCfsE6AT7BAoJBwn5BAkJCwkKCfwECwn8BJ8BnwH8BP0ECgmeAfwECgn7BJ4B/QT8BAwJ/QQMCYkAiQAMCQ0JDAkOCQ0JDAmdAQ4JnQHiAA4J/AT+BAwJ/gSdAQwJ/ATGAv4E/ASeAcYC/gQPCZ0BxgIPCf4EnQEQCeIADwkQCZ0BEAmcAeIAxgIRCQ8JngERCcYCEAnIApwByAI5AJwBDwkABRAJAAXIAhAJEQkSCQ8JDwkSCQAFngETCREJ+wQTCZ4BEQn/BBIJEwn/BBEJEgkUCQAFAAUUCcgC+wQVCRMJEwkVCf8E+wQWCRUJCQkWCfsEFQkXCf8EFgkXCRUJCQn5BBYJ/wQYCRIJEgkYCRQJ/wQXCRgJGAkZCRQJFAkZCcgCFwnKAhgJGAnKAhkJGQkaCcgCygIaCRkJyAIaCTkAGgnJAjkAAQXJAhoJygIBBRoJAQUCBckCAQUDBQIFmwEBBcoCFwmbAcoCGwkDBQEFmwEbCQEF+gSbARcJ+gQbCZsBFgn6BBcJ+QT6BBYJGwk4AAMF+QQcCfoEHAkbCfoExwIcCfkEBwnHAvkE5wTHAgcJHAkdCRsJHQk4ABsJxwIeCRwJHgkdCRwJ5wQfCccCHwkeCccCjgEfCecEHgmaAR0JmgE4AB0JHwn4BB4J+ASaAR4JjgHLAh8JywL4BB8J9gTLAo4B+AQgCZoBywL3BPgE9wQgCfgE9QT3BMsC9gT1BMsC9wQhCSAJ8gT1BPYEBQnyBPYE9QT0BPcE9AQhCfcE8gTMAvUEzAL0BPUEIgnyBAUJ4wQiCQUJ8QTMAvIEIgnxBPIE4wQjCSIJIwnxBCIJzgIjCeMEMwDOAuMEIwmMAfEEzgKMASMJMwAkCc4CjAElCfEE8QQlCcwC6QQkCTMAzgImCYwBJAkmCc4CjAEnCSUJJgknCYwBJQnzBMwCzALzBPQEJwnkACUJJQnkAPMEJgnvBCcJ8wSVAfQE9ASVASEJ5AAoCfME8wQoCZUBJwmUAeQA7wSUAScJ5AApCSgJlAEpCeQAKAkqCZUBlQHjACEJlQEqCeMAIQnjACsJIQkrCSAJIAkrCZoBKwnTApoB4wDTAisJmgHTAjgAKgksCeMA4wAsCdMC0wItCTgALAktCdMCLQkFBTgAKgkGBSwJLQnVAgUF1QIJBQUFLAkuCS0JBgUuCSwJBAXVAi0JLgkEBS0J1QIvCQkFLwnWAgkFBAUwCdUCMAkvCdUCLwkKBdYCCgU6ANYCMAkxCS8JMQkKBS8JCgWZAToAMgkxCTAJMwkKBTEJMgkzCTEJMwk0CQoFNAmZAQoFNQkzCTIJmAE0CTMJNQmYATMJCwWZATQJmAELBTQJCwXlAJkBNgmYATUJNgkLBZgBDAXlAAsFNgkMBQsFDAU3CeUAOAk3CQwFOAk5CTcJOwA5CTgJDQU7ADgJ1AI4CQwF1AIMBTYJDQU4CQ4FDgU4CdQClwENBQ4FOgmXAQ4FOgkOBTsJ0gLUAjYJDgXUAtIC0gI2CTwJDgXSApYBlgHSAjwJOwkOBZYBPAk2CTUJNgA6CTsJlgE8CT0JOwmWAT0JPAk1CT4JPQk8CT4JPgk1CTIJPgkyCYsAiwAyCTAJiwAwCQQFPwk+CYsAPQk+CT8JQAmLAAQFPwmLAEAJLglACQQFQQlACS4JQQk/CUAJBgVBCS4JBwU9CT8JBwU/CUEJOwk9CQcFQglBCQYFQgkHBUEJCAU7CQcFCAUHBUIJNgA7CQgFQwlCCQYFQwkGBSoJKAlDCSoJKQlDCSgJzQJCCUMJKQnNAkMJzQIIBUIJRAnNAikJRQkIBc0CRAlFCc0CNgAIBUUJlAFECSkJRgk2AEUJRglFCUQJ8ARECZQB8ARGCUQJ7wTwBJQB7gQ2AEYJ7gRGCfAERwnwBO8ERwnuBPAESAlHCe8ESAnvBCYJJAlICSYJSQlHCUgJjQFICSQJjQFJCUgJ6gSNASQJ6QTqBCQJkAHqBOkESgnqBJABSglLCeoE6ABLCUoJ6gTnAI0B5wBJCY0B6ACRAUsJ6gSPAecASwmPAeoE5wBMCUkJjwFMCecASwlNCY8BjwFNCUwJkQHrBEsJSwnrBE0JkQFOCesEkQGKAE4J6wRPCU0J6wROCU8JTQlQCUwJTQlPCVAJTAlQCVEJTAlRCUkJigBSCU4JigBTCVIJTglUCU8JTglSCVQJTwmSAVAJTwlUCZIBUwlVCVIJUwnPAlUJzwI3AFUJVQk3AOwEUgnQAlQJUglVCdACVAnQApIBVQnsBNEC0AJVCdEC0QLsBJMB0QKTAVYJ0ALRAlcJkgHQAlcJ0QJWCe0EVwnRAu0E7QRWCTYA7gTtBDYAVwntBFgJWAntBO4EkgFXCVkJWQlXCVgJUAmSAVkJUAlZCVEJWQlYCeYA5gBYCe4EUQlZCeYAWgnmAO4EUQnmAFoJWgnuBEcJSQlRCVoJSQlaCUcJDwVbCVwJWwldCVwJEQVbCQ8FPAARBQ8FPAAPBdcCEQXYAlsJWwnYAl0JEQVeCdgC1wIPBV8J1wJfCekADwVcCRAFDwUQBV8JXgkTBdgCXgkSBRMF2AITBWAJ2AJgCV0JEgVhCRMFEgWOAGEJEwViCWAJEwVhCWIJjgBjCWEJYQlkCWIJYQljCWQJjgDcAmMJYwncAmQJjgDrANwCYAliCR4FYglkCaIBYgmiAR4FZAncAmUJZAllCaIB6wAjBdwC3AIjBWUJ6wBmCSMF6wBnCWYJZQkjBaMBogFlCSIFZQmjASIFogEiBWgJHgWiAWgJaAkiBWkJIgWjAWkJHgVoCR0FIwXsAKMBIwVmCewAaAlpCR8FHQVoCR8FHAUeBR0FYAkeBRwFXQlgCRwFXQkcBYwAXAldCYwAXAmMABAFjAAcBRsFHAUdBRsFEAWMABgFjAAbBRgFEAUYBWoJXwkQBWoJGwUdBeoAHQUfBeoAGAUbBRoFGwXqABoFagkYBRcFGAUaBRcFXwlqCdkC6QBfCdkCagkXBaAB2QJqCaAB6QDZAhQF2QKgARQF6QAUBRUFFwUaBdsCoAEXBWsJFwXbAmsJFAWgAWwJoAFrCWwJFQUUBW0JFAVsCW0JFQVtCW4JFQVuCT4AbgnaAj4AbQlvCW4JbglvCdoCbQlsCW8JbwkWBdoCbAkWBW8JbAlrCRYFFgWNANoCawlwCRYFFgVwCY0AawnbAnAJcAlxCY0AcAkZBXEJ2wIZBXAJGQWhAXEJ2wJyCRkFGgVyCdsCGgXqAHIJcglzCRkFGQVzCaEB6gB0CXIJcgl0CXMJ6gAfBXQJcwkgBaEBdAkgBXMJHwUgBXQJIAWPAKEBHwVpCSAFaQl1CSAFIAV1CY8AaQmjAXUJdQl2CY8AdgkhBY8AowF3CXUJdQl3CXYJowHsAHcJdwndAnYJdgknBSEF3QInBXYJdwl4Cd0C7AB4CXcJeAknBd0CJwWlASEF7ACkAXgJZgmkAewAeAmmAScFJwXgAqUB4AJ5CaUBpgF6CScFJwV6CeAC4AJ7CXkJegl7CeACpAEoBXgJKAWmAXgJpgF8CXoJKAV8CaYBfAl7CXoJewk9AHkJfQl8CSgFpAF9CSgFfAl+CXsJfwl9CaQBZgl/CaQBfQmACXwJgAl+CXwJfwklBX0JJQWACX0JZgkkBX8JJAUlBX8JZwkkBWYJZwnfAiQF3wIlBSQF3wImBSUFJQXeAoAJJgWBCSUFJQWBCd4CJgU/AIEJ3gKCCYAJgQmCCd4CgAmCCX4JgQmDCYIJPwCDCYEJggkpBX4JggmDCSkFPwAqBYMJfgkpBe0AfgntAHsJewntAD0AgwmECSkFgwkqBYQJKQWFCe0A7QArBT0A7QCFCSsFKQXhAoUJKQWECeEChQmGCSsF4QKnAYUJhQmnAYYJhAmHCeEC4QKHCacBhAksBYcJKgUsBYQJhwktBacBpwGICYYJpwEtBYgJhwkvBS0FLAUvBYcJLQWJCYgJKgWKCSwFLwUwBS0FLQUwBYkJLAWRAC8FigmRACwFLwUxBTAFkQAxBS8FMAWLCYkJMQWpATAFMAWpAYsJMQUzBakBkQAyBTEFMgUzBTEFigmMCZEAjAkyBZEAjQmMCYoJKgWNCYoJjAmOCTIFLgWNCSoFjQnwAowJLgXwAo0J8AKOCYwJPwAuBSoFPwCPCS4FUAWPCT8ALgWQCfACjwmQCS4F8AKqAY4JkAmqAfACUAVaBY8J8gJaBVAFkQlaBfICjgk0BTIFMgU0BTMFqgGSCY4JjgmSCTQFqgGTCZIJkQmUCVoF7gCUCZEJ7gCVCZQJ7gCQAJUJlAnzAloFlAmVCfMCWgXzAvECkABZBZUJkABYBVkFWgXxArABWgWwAY8J8wJUBfEC8QJUBbABlQmWCfMC8wKWCVQFlQmxAZYJlQlZBbEBsAFOBY8JjwlOBZAJsAGXCU4FsAFUBZcJTgVNBZAJkAlNBaoBTQWTCaoBTgWYCU0FlwmYCU4FTQVMBZMJmAlMBU0FlwmZCZgJVAWZCZcJmAnvAEwFmQnvAJgJVAWaCZkJmglSBZkJmQlSBe8AVAWbCZoJmwlSBZoJlgmbCVQFlgmxAZsJmwlVBVIFsQFVBZsJUgWcCe8AsQGdCVUFWQWdCbEBVQWeCVIFUgWeCZwJnQn0AlUFVQX0Ap4JWQVXBZ0JVwX0Ap0JWAVXBVkFWAWfCVcFnwmgCVcFVwWgCfQCnwlWBaAJVgVBAKAJoAlBAFMF9AKgCVEFoAlTBVEF9AJRBZ4JUQVTBa8BUQWvAaEJnglRBU8FUQWhCU8FnglPBZwJnAlPBe8ATwWhCUAA7wBPBUAA7wBAAKIJ7wCiCUwFTAWiCaMJTAWjCZMJoglAADgFogk4BaMJkwmjCaQJowk4BaQJkwmkCZIJkgmkCfEAkgnxADQFpAk4BaUJpAmlCfEAQADvAjgFOAXvAqUJQABJBe8CQACmCUkFNAXxAKcJNAWnCTMF8QClCeoC8QDqAqcJpQnvAksFpQlLBeoC7wJJBUoF7wJKBUsFMwWnCTUFpwnqAqgJ6gJLBagJpwmoCTUFMwU1BakBqQE1BakJqQGpCYsJNQWoCTcFNQU3BakJqAlLBaoJqAmqCTcFSwWrCaoJSwVKBasJiwmpCawJqQk3BawJiwmsCeMCiQmLCeMCrAk3BTkF4wKsCTkFiQnjAvAAiAmJCfAA4wI5Ba0J8ADjAq0JNwVCADkFNwWqCUIArQk5Ba4JOQVCAK4JiAnwAK8JhgmICa8J8ACtCTYFrwnwADYFhgmvCbAJKwWGCbAJrwk2BbEJsAmvCbEJKwWwCeICsAmxCeICPQArBeICNgWtCToFrQmuCToFsQk2BbIJNgU6BbIJ4gKxCTsFsQmyCTsFPQDiArMJ4gI7BbMJPQCzCbQJtAmzCeUCtAnlAqsBswk7BeQCswnkAuUCOwWyCbUJsgm2CbUJsgk6BbYJOwW1CbcJOwW3CeQCtwm1CecCtQm2CecC5AK3CbgJtwnnArgJ5AK4CbkJ5QLkArkJOgWoAbYJOgWuCagBuQm4CeYC5QK5CboJuQnmAroJ5QK6CUIFqwHlAkIFqwFCBUEFQQVCBUAFQgW6CUAFQQVABZMAkwBABawBQAW7CawBugm8CUAFQAW8CbsJugnmArwJvAmSALsJvAm9CZIA5gK9CbwJvQnoApIAvQk/BegCPwVDAOgC5gK+Cb0Jvgk/Bb0J5gK/Cb4JuAm/CeYCuAnnAr8JvwnACb4JvgnACT8F5wL0AL8Jvwn0AMAJ5wK2CfQAwAnBCT8F9ADBCcAJtgnCCfQA9ADCCcEJtgmoAcIJwQnDCT8FPwXDCUMAwgnDCcEJwwnECUMAqAE+BcIJwgk+BcMJPgXECcMJPgXpAsQJqAGuCT4FPgU8BekCrgk8BT4FrglCADwFqgnFCUIAxQk9BUIAqgmrCcUJxQnGCT0FxgnsAj0FqwnrAsUJ6wLGCcUJqwnHCesCxglDBewCSgXHCasJ6wLICcYJyAlDBcYJxwnICesCQwXJCewCSgXyAMcJQwXKCckJyglFAMkJyglEBUUAywnKCUMFyAnLCUMFzAlEBcoJywnMCcoJzAnzAEQFrgHLCcgJxwmuAcgJzQnMCcsJzQnLCa4BSAWuAccJSAXNCa4B8gBIBccJzgnNCUgF8gDOCUgFzwnMCc0JzgnPCc0J0AnzAMwJzwnQCcwJ0AnuAvMARwXPCc4J0QnOCfIA0QlHBc4JSgXRCfIASQXRCUoFSQVGBdEJRgVHBdEJpglGBUkFRwXtAs8J7QLQCc8JRgXtAkcFpgmtAUYFrQFFBUYFRgXSCe0C0gnQCe0CRQXSCUYF0gnuAtAJRQVEANIJRADuAtIJWwVcBdMJXAXUCdMJ0wnUCdUJWwXTCbIB0wnVCbIB1An2AtUJsgHVCWEFXAVgBdQJ1AlgBfYC9QJcBVsFRgD1AlsF9QL1AFwFRgBbBdYJ1glbBdcJWwWyAdcJ1gnXCV0F9QDYCVwFXAXYCWAF9QBeBdgJ9QBfBV4FXQXXCdkJXQXZCbMBswHZCUgA2AleBdoJ2AnaCWAFXwXbCV4FXwWVANsJXgW1AdoJXgXbCbUBYAXaCWMFYAVjBfYC2gm1AdwJ2gncCWMFtQHbCWgFtQFoBdwJlQBpBdsJ2wlpBWgFlQDdCWkFlQDeCd0JYwXcCd8J3AloBd8JYwXfCeAJ9gJjBeAJ3gnhCd0J3gm4AeEJuAFxBeEJ9gLgCeIJ1Qn2AuIJ1QniCWEF4gngCeMJYQXiCWQF4gnjCWQF4AlnBeMJ4AnfCWcF3wm2AWcF3wloBbYB4wlnBeQJZwW2AeQJZAXjCeUJ4wnkCeUJ5Am2AeYJ5QnkCeYJaAXnCbYBaAVpBecJtgHnCegJtgHoCeYJaQVsBecJaQXdCWwF5wnpCegJ5wlsBekJ5gnoCZQA5gmUAGYF6AnqCZQA6AnpCeoJ6glrBZQA6wnmCWYF5QnmCesJ6wlmBfYAtAHlCesJZAXlCbQB6gltBWsFbQX4AmsF6QlqBeoJagVtBeoJbQXsCfgCbAVqBekJbQXtCewJ7QlHAOwJagXuCW0F7gntCW0FbAXvCWoF9wDuCWoF7wn3AGoFbAW3Ae8J3Qm3AWwF7wnwCfcA3QnhCbcB7wnxCfAJtwHxCe8J8AnyCfcA9wDyCe4J8QnyCfAJtwFuBfEJ4QluBbcB8QnzCfIJbgXzCfEJ8glwBe4J7glwBe0J8glvBXAF8wlvBfIJcAW5Ae0JbwW5AXAF8wm5AW8F4Qn5Am4FbgX5AvMJ4Qn0CfkCcQX0CeEJ+QL1CfMJ9An1CfkC8wn1CbkBcQVJAPQJ9An2CfUJSQD2CfQJ9Qn3CbkB9Qn2CfcJuQFHAO0JuQH3CfgJuQH4CUcA9gm6AfcJ9wm6AfgJSQByBfYJ9glyBboB+An5CUcA+Am6AfkJRwD5CYMFRwCDBfoJRwD6CfsJ+QmBBYMF+wn6CfwJ+wn8CQgDgwX9CfoJ+gnGAfwJ+gn9CcYBCAP8CQcDCAMHA4QF/An+CQcD/AnGAf4JhAUHA/8JhAX/CZYAlgD/CYcFBwOGBf8JBwP+CYYF/wmIBYcF/wmGBYgFiAX8AIcF/gn7AIYFhgX7AIgFiAUACvwA+wAACogFAAqJBfwA/gkBCvsAxgEBCv4J+wACCgAKAQoCCvsAAAqKBYkFAgqKBQAKigVNAIkFAQqFBQIKxgGFBQEKxgEDCoUF/QkDCsYBAwoECoUF/QkECgMKhQXHAQIKhQUECscBAgoFCooFAgrHAQUKigUGCk0ABQoGCooFBgqLBU0AxwEHCgUKBwoGCgUKBAoHCscBjAWLBQYKBwqMBQYKjAXIAYsFjAWNBcgBBgOMBQcKBAoGAwcKCAqNBYwFBgMICowFCQoGAwQKCQoICgYD/QkJCgQKCApMAI0FBQMJCv0JgwUFA/0JCgoICgkKCgpMAAgKgQUFA4MFCwoKCgkKBQMLCgkKgQW7AQUDuwELCgUDuwEMCgsKDAoKCgsKggVMAAoKDAqCBQoKDQq7AYEFfwUMCrsBDQp/BbsBfwUOCgwKDgqCBQwK+gINCoEF+gKBBfkJugH6AvkJDwoNCvoCugEPCvoCEAp/BQ0KDwoQCg0KugERCg8KEQoQCg8KugFzBREKEAp+BX8FfgUOCn8FEQq9ARAKvQF+BRAKcwW9AREKcgVzBboBvQESCn4FfgUTCg4KEgoTCn4FEwoUCg4KDgoUCoIFcwUVCr0BFQoSCr0BcgUWCnMFFgoVCnMFcgV0BRYKFgoXChUKdAUXChYKFQqYABIKFwqYABUKmAD9AhIKEgr9AhMKFwr8ApgAdAX8AhcKmAAYCv0C/AIYCpgA/QL6ABMKEwr6ABQKGAoZCv0C/QIZCvoA+gDBARQKGQrBAfoAFArBAYIFGAoaChkKGQqABcEBGgqABRkKwQEbCoIFggUbCkwAwQEcChsKgAUcCsEBGwodCkwAHQqPBUwAHAoeChsKGwoeCh0KHQofCo8FHwrFAY8FHgqOBR0KjgUfCh0KHwqQBcUBHAqRBR4KkQWOBR4KHwogCpAFIApPAJAFjgUEAx8KBAMgCh8KkgVPACAKBAOSBSAKkgXEAU8AkgWTBcQBlAWSBQQDIQqTBZIFIgqSBZQFIgohCpIFIQojCpMFJAqUBQQDIgqUBSQK/QAkCgQD/QAEA44FJQokCv0AJgr9AI4FJgolCv0AkQUmCo4FJwokCiUKJgonCiUKJwoiCiQKkQXCASYKwgEnCiYKlgUiCicKwgGWBScKlgUDAyIKAwMhCiIKlwWWBcIBlwUDA5YFKAohCgMDlwUoCgMDKAojCiEKTgAjCigKlQVOACgKlQUoCpcFwwGVBZcFKQrDAZcFKgqXBcIBKQqXBSoKKgrCAZEFSgApCioKmAUqCpEFSgAqCpgFmAWRBRwKgAWYBRwKSgCYBSsKKwqYBYAF/gIrCoAF/gKABRoKLAr+AhoKLAoaChgK/AIsChgKfQX+AiwKfQUrCv4CLQosCvwCLQp9BSwKdAUtCvwCLgorCn0FLgpKACsKvAF9BS0KvAEuCn0FLwotCnQFLwq8AS0K+wIvCnQF+wJ0BXIFSQD7AnIFMAovCvsCMAq8AS8KSQAxCvsCMQowCvsCdgUxCkkAMAoyCrwBMgouCrwBdgV3BTEKvgF3BXYFMQp1BTAKdwV1BTEKdQX4ADAK+AAyCjAKdwUzCnUFMwr4AHUFvgE0CncFNAozCncFNQo0Cr4BNQoBAzQKlwABAzUKlwB4BQEDAQM2CjQKNAo2CjMKeAU3CgEDeAX5ADcKAQM4CjYKAQM3CjgKNgo5CjMKMwo5CvgANgo4CgADNgoAAzkKOQo6CvgAOQoAAzoK+AA6CjIKAAN8BToKOgp8BTIKOAo7CgADAAM7CnwFOArAATsKNwrAATgKOwo8CnwFOwrAATwKfAX/AjIKMgr/Ai4K/wJKAC4K/wI9CkoAfAU+Cv8CPgo9Cv8CPAo+CnwFPgq/AT0KPAp7BT4KewW/AT4KwAF7BTwKewV6Bb8BPwp6BXsFwAE/CnsFPwpLAHoFAgNLAD8KeQU/CsABAgM/CnkFNwp5BcAB+QACA3kF+QB5BTcK1wmyAUAKsgFhBUAK1wlACkEKQAphBUIKQApCCkEKYQVkBUIK1wlBCtkJQgpkBbQB2QlBCvcCQQpCCkMKQgq0AUMKQQpDCvcC2Qn3AkQK9wJDCkQK2QlECkgASABECmIFRAr2AGIFQwq0AWUFQwplBUQKRAplBfYAtAHrCWUFZQXrCfYAmQWaBUUKmgVGCkUKRQpGCkcKmQVFCgoDRQpHCgoDRgrJAUcKCgNHCp8FmgWeBUYKRgqeBckBCQOaBZkFUAAJA5kFCQP+AJoFUACZBUgKSAqZBZsFmQUKA5sFSAqbBcoBygGbBUkK/gBKCpoFmgVKCp4F/gCcBUoK/gCdBZwFSgpLCp4FSgqcBUsKngVLCkwKngVMCskBnAXNAUsKnQVNCpwFnAVNCs0BnQWaAE0KSwrNAU4KSwpOCkwKzQFNCqQFzQGkBU4KmgClBU0KTQqlBaQFmgBPCqUFmgBQCk8KTApOClEKTgqkBVEKTApRCqAFyQFMCqAFUApSCk8KUArQAVIK0AGtBVIKyQGgBVMKRwrJAVMKRwpTCp8FUwqgBVQKnwVTCswBUwpUCswBoAWjBVQKoAVRCqMFUQrOAaMFUQqkBc4BVAqjBVUKowXOAVUKzAFUClYKVApVClYKVQrOAVcKVgpVClcKpAVYCs4BpAWlBVgKzgFYClkKzgFZClcKpQWoBVgKpQVPCqgFWApaClkKWAqoBVoKVwpZCv8AVwr/AKIFWQpbCv8AWQpaClsKWwqnBf8AqAWmBVoKWgqmBVsKWwqpBacFpgWpBVsKqQXRAacFqQVcCtEBqQVdClwKXQpRAFwKpgVeCqkFXgpdCqkFAAFeCqYFXgqsBV0KAAFfCl4KXwqsBV4KYAoAAaYFqAVgCqYFYAphCgABYQpfCgABqAXPAWAKTwrPAagFYApiCmEKYgpfCmEKzwFiCmAKTwpSCs8BYgpjCl8KzwGqBWIKUgqqBc8BqgVjCmIKUgoNA6oFqgUNA2MKYwqrBV8KXwqrBawFqwXSAawFYwrSAasFrAXSAV0KDQNkCmMKYwpkCtIBUgplCg0DZQpkCg0DrQVlClIK0gFRAF0KrQVTAGUKZQpmCmQKUwBmCmUKZApmCmcKZApnCtIBUwCuBWYK0gFnCmgK0gFoClEAZgrTAWcKZwrTAWgKZgquBdMBaAppClEAaArTAWkKUQBpChsDUQAbA74FUQC+BWoKaQprChsD0wEOA2kKDgNrCmkK0wFsCg4DDgNtCmsKbAptCg4DawoaAxsD0wFuCmwKbQq8BWsKawq8BRoDbApvCm0KbgpvCmwKbQrVAbwFbwrVAW0K0wGvBW4KbgrUAW8KrwXUAW4KrgWvBdMB1AG7BW8Kbwq7BdUBrwVwCtQBrgVxCq8FcQpwCq8F1AFyCrsFcApyCtQBuwVzCtUBcQp0CnAKrgWwBXEKsAV0CnEKcAq6BXIKdAq6BXAKcgp1CrsFuwV1CnMKugV2CnIKcgp2CnUKdAoQA7oFsAUQA3QKugUWA3YKEAMWA7oFdgoEAXUKdQp3CnMKdQoEAXcKdgp4CgQBFgN4CnYKBAHYAXcKeArYAQQBcwp3Cr0FdwrYAb0FeArEBdgBFgN5CngKeQrEBXgKegp5ChYDEAN6ChYDegoVA3kKFQPEBXkKewp6ChADsAV7ChADuQUVA3oKewq5BXoKFQN8CsQFuQV8ChUDmwC5BXsKfQp8CrkFmwB9CrkFfgp7CrAFfgqbAHsKDwN+CrAFDwOwBa4FUwAPA64Ffwp+Cg8DfwqbAH4KUwCACg8DgAp/Cg8DsgWAClMAfwqBCpsAgQp9CpsAsgWzBYAK1wGzBbIFgAqxBX8KswWxBYAKsQXWAX8K1gGBCn8KswWCCrEFggrWAbEF1wGDCrMFgwqCCrMFhAqDCtcBhAq0BYMKnAC0BYQKnAC1BbQFtAXZAYMKgwrZAYIKtQWFCrQFtQUDAYUKtAWGCtkBtAWFCoYK2QGHCoIKggqHCtYB2QGGCrYF2QG2BYcKhQqICoYKhgqICrYFAwGJCoUKhQqJCogKAwESA4kKhwqKCtYBhwq2BYoK1gGKCoEKEgOLCokKEgNVAIsKiwpVALcFiQqLChEDiQoRA4gKiwq3BYwKEQOLCowKjAq3BRMDiAoRA40KEQOMCo0KjAoTA7gFjQqMCrgFuAUTA44KiAqNCgIBtgWICgIBtgUCAYoKAgGNCo8KigoCAY8KjQq4BY8KigqPCoEKuAWOChQDjwq4BRQDjwoUA4EKgQoUA30KFAOOClQAFANUAH0KfQpUAHwKVADHBXwKfArHBcQFVACQCscFVACRCpAKxAXHBZIKxAWSCtgBxwWQCsgFxwXIBZIKkQrNBZAKkQoZA80FGQPMBc0F2AGSCpMK2AGTCr0FkgqUCpMKkgrIBZQKkAoXA8gFkArNBRcDyAXFBZQKkwqUCpUKlArFBZUKkwqVClYAvQWTClYAlQrGBVYAlQrJBcYFxQXJBZUKyQUdA8YFyQWWCh0DyAWXCsUFyAUXA5cKxQWYCskFyQWZCpYKmAqZCskFmQpZAJYKBQGYCsUFlwoFAcUFmAoeA5kKlwqaCgUBBQGbCpgKmgqbCgUBmwoeA5gKlwqcCpoKnAqbCpoKFwOcCpcKmwrKBR4DHgPLBZkKywVZAJkKygXLBR4DywWdClkAywXbAZ0KngrKBZsKngrLBcoFnAqeCpsKnwrbAcsFngqfCssFnwqgCtsBGAOeCpwKFwMYA5wKzQUYAxcDGAPaAZ4KzQXaARgD2gGfCp4KzQWhCtoBoQqfCtoBoQqgCp8KzAWhCs0FWACgCqEKzAVYAKEKmwUKA6IKCgOfBaIKogqfBaMKnwXMAaMKmwWiCqQKogqjCqQKowrMAaEFzAFWCqEFpAqjCqUKowqhBaUKmwWkCgsDpAqlCgsDmwULA6YKSQqbBaYKSQqmClIAUgCmCssBpgqZAMsBCwOnCqYKpgqnCpkACwOlCqcKpwoMA5kApQoMA6cKpQqhBQwDDAOiBZkAoQWoCgwDDAOoCqIFoQVWCqgKqApXCqIFVgpXCqgK1QGpCrwF1QFzCqkKcwq9BakKvAWpCqoKvAWqChoDqQq9BasKqQqrCqoKvQVWAKsKGgOqCsAFqgqrCsAFqwpWAKwKqwqsCsAFrApWAMMFGgPABa0KGwMaA60KwAWsChwDrQrABRwDrArDBdwBHAOsCtwB3AHDBR8DGwOtCr4F3AEfA64KrgofA68KHAPcAbAKsArcAa4KrQocA7EKvgWtCrEKsgocA7AKsQocA7IKsAquCiADsgqwCiADrgqvCrMKIAOuCrMKswqvClcAswpXAN0BswrdAZ0AsQqyCiEDIQOyCiADtAogA7MKIQMgA7QKtQqzCp0AtAqzCrUKtgq1Cp0AtgqdAMIF3gG0CrUK3gG1CrYKtwohA7QKtwq0Ct4BuAqxCiEDuAohA7cKvgWxCrgKuQq3Ct4BuAq3CrkKvgW4CroKugq4CrkKagq+BboKagq6Ct8B3wG6CiIDugq5CiID3wEiA78FuQreAcEFIgO5CsEFwQXeAbYKvwUiA7sKIgPBBbsKuwrBBbYKvwW7CgEBuwq2CsIFAQG7CsIFvAojA70Kvgq8Cr0Kvgq9CuABWgC8Cr4KWgDPBbwK4AG9Cr8K4AG/Cs4FvQrACr8KvQojA8AKzgW/CsEKzgXBClwAXADBCiUDvwokA8EKvwrACiQDwQrCCiUDwQokA8IKwgriASUDwArDCiQDJAPECsIKJAPDCsQKxArFCsIKwgrFCuIBwwrQBcQKxArQBcUKwArSBcMKIwPSBcAKxQrGCuIB0AXGCsUKxgonA+IBwwrhAdAF0gXhAcMK0AXHCsYK4QHHCtAFxgrICicDxwrICsYKyAqfACcD4QHJCscKxwrRBcgKyQrRBccKygrJCuEB0gXKCuEBywrRBckKygrLCskKzArKCtIFIwPMCtIF0wXLCsoKzArTBcoKIwPNCswKzQrTBcwKvArNCiMDvArOCs0KzwXOCrwKzwWeAM4KzgrPCs0KzQrPCtMFngAmA84KzgomA88KngDQCiYDngDVBdAKJgPUBc8KJgPQCtQFzwrRCtMFzwrUBdEK0wXRCssK1QXSCtAK0AoGAdQF1AUGAdEK0ArSCgYB1QWgANIK0QrTCssK0QoGAdMKywrTCtEFBgHSCtYFBgHWBdMKoADXBdIK0grXBdYF0wrjAdEF0wrWBeMB0QXjAcgKoAAoA9cFoADUCigD1gXXBdUK1gXVCuMB4wHWCsgK4wHVCtYKyArWCp8A1ArXCigD1AopA9cK1wUoA9kF1wXZBdUKKAPXCtgKKAPYCtkFKQPaBdcK1wraBdgKKQPZCtoF1QrZBdgF1QrYBdYK2QXYCtoK2QXaCtgF2ArbCtoK1grYBdwK1grcCp8A3ArdCp8A2AXeCtwK2AXaCt4K3ArbBd0K3grbBdwK2wXlAd0K2goqA94K2grbCioD3grfCtsFKgPfCt4K2wXgCuUB3wrgCtsF4ArhCuUBKgPiCt8K2wriCioD3wrmAeAK4grmAd8K4ArjCuEK5gHjCuAK4grcBeYB3AXjCuYB5AHiCtsK2ArkAdsK5ArcBeIK5AHkCuIK2AraBeQB2gXkCuQB4wpdAOEK2gUrA+QK3AXlCuMK5ArlCtwF5QrmCuMK4wrmCl0A5ArnCuUKKwPnCuQK2gXoCisD6ArnCisD2QroCtoF5wosA+UK5QosA+YK2QpbAOgK6ArpCucK5wrpCiwDWwDpCugKLAPnAeYK6QrnASwDWwDdBekK6QrdBecBWwDqCt0F5grnAesK5grrCl0A3QXeBecB6grfBd0F3QXfBd4FWwDsCuoK7QrsClsA7QruCuwKLQPuCu0K7ArvCuoKLQP4Be4K8Ar4BS0D7gr5BewK7Ar5Be8K+AXxCu4K7grxCvkF8AowA/gFoQAwA/AKoQD3BTADMAPyCvgF+AXyCvEK9wX2BTADMAP2BfIK9wWiAPYF8QroAfkF+QXoAe8K8govA/EK8QovA+gBogDzCvYFogD0BfMK9gX0CvIK9gXzCvQK8gr1Ci8D8gr0CvUKLwP2CugBLwP1CvYK6AH2CvcK6AH3Cu8K9QouA/YK9gouA/cK9Ar1BfUK9Qr1BS4D9AoxA/UF8woxA/QK7wr3CgcB7woHAeoK9QX4Ci4D9QUxA/gK8wr5CjED9AX5CvMK9AVfAPkK+QpfAPoKMQP5CvMF+Qr6CvMFMQPzBfgK8wX6CukB+ArzBfsK8wXpAfsK+Ar7Ci4D+wrpAfwKLgP7Cv0K+wr8Cv0KLgP9CvcK/Qr8Cl4A9wr9CjID/QpeADID9woyAwcBMgNeAP4KBwEyA+oFMgP+CuoFBwHqBf8KBwH/Ct8F6goHAd8F/wrqBQAL6gX+CjMD6gUzAwAL/woACwEL3wX/CgELAAszAwILAQsACwIL3wUBCwML3wUDC94FAQsCC+oBAwsBC+oBAgszAwQL3gUDCwULAwvqAQUL6gECC+IFAgsEC+IFBQvqAQYL6gHiBQYL3gUFCwcLBQsGCwcL3gUHCwgL5wHeBQgL5wEICwgB5wEIAesKCAsHCwkLCAsJCwgBBwsGCwoLBwsKCwkLBgsLCwoLBgviBQsL4gXrAQsL4gUEC+sBCgsLCwwLCwvrAQwLCQsKCzUDCgsMCzUDCQs1A+AFCAEJC+AFCAHgBQ0L6woIAQ0L4AU1Aw4L4AUOCw0LNQMMCw8LNQMPCw4LDAvpBQ8LDAvrAekFDgsPC+wBDQsOC+wB6woNC+EFDQvsAeEFXQDrCuEFDwsQC+wBDwvpBRALXQDhBRELXQARCxIL4QXsARML4QUTCxEL7AEQC+gF7AHoBRMLEgsRCxQLEgsUC/IBEQsTCzoDEQs6AxQLEwvoBRU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"), 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UxLdrXgAA9KDEt2teAAAAo56pYlkAAAW0oaJeYQAAHMN7sL5qAABOxJ6py2kAAHPX3bCchAAAENmeqSCEAAAQ2Ye43aMAAEXenqmokwAAj9weouaTAAAD4J6p3aMAAI/cHrHTswAAc9fvmnCUAABF3p6pEbQAAI/cHqLTswAAENm1mt2jAAD3zpqwDtEAAE7EVY7dowAA985ilLuyAAAcw8eOerIAAOHKDpw8zwAAc9dfoh3DAABn0J6px9EAAE7Enqnu3QAAcjpqxTqVAADfOZLZs7IAAHRAOsHwoQAAcjpqxf54AAAHNbHgRJYAALE+ktk9vgAAak3r7CzDAAD2W733s7IAALhNOsHtugAA9ltou7OyAAAbc5LZUccAAHl398ztugAA03FavYOiAAD3fiPMtKMAADVq6/HtugAA2nvr7IOiAAD1a8v6HIcAAL5yPPc6lQAA9lu994RbAADmgrHg9HcAAHt9asX+eAAAG3NouxyHAADBeBfg4FAAAPZbaLuEWwAANWo6wUtTAAAlayPMLUUAAINq6+wLSwAA9lvN4H08AAD2Ww3u5kYAALhN6/FLUwAAdED3zEtTAADfOZLZhFsAAHRALeZLUwAA0US99xyHAAB0QOvx8KEAABlGy/WDogAAoYML0eOuAACAgX/dOLEAAN2H88UCoQAAKoZ/3WG8AACylPPFLbkAAJ6Afeq3ogAAnoCB0GlrAADdh07R81QAAA6C6eORXQAAKoaM9hCHAAAWjH/d90gAAN2HsOnzVAAAspQK9fNUAADxsX/drkIAAHiijPa/UQAAypN0+2lrAAAWjKz6EIcAALipLvqRXQAAtLEm5NlDAABRvs3jnVIAAMqTdPu3ogAAPJMm5EbKAABfqn/dOs8AAOPC6eOOsAAAE70K9QKhAAATvU7RLbkAAHDDf93oXAAAU8SB0LeiAAA/sPPF81QAAHiiUsDoXAAAeKJevTOkAAC4qc/AjrAAALJgTMYigwAAtV84y6JxAADcekfSkHIAAEpf48xCXwAA3HoU1EJfAADcekfS9EsAANx648x1OQAAApY4y+NMAAAGlUzGYjsAAG6W48xCXwAA3HrjzA+FAAACljjLonEAAL+i7MNCXwAABpVMxiKDAADHh3DCF5UAAB+icML4cAAAjocrtk2jAABPYtayRaAAANx6f6fRrwAAIVc8oYekAAByS2OQRaAAAFZIPKFAkAAAF0GNpvhwAAAbQGRr85UAAEM7TpSicQAAKDpkaw+FAAD4UmRr0a8AAHJLZkZFoAAAQzt7QqJxAAAoOtlBQl8AAME3SoA+TAAAKDpka3U5AAAbQEovQl8AADxJniCqcAAAF0E8MIxNAACZU1kU+HAAACpuniBNowAAPEmeINpNAABWSI01RC4AALJgfRAigwAAtV+RC6JxAADxbVkUF5UAAEpf5glCXwAAtV+RC+NMAADceuYJD4UAANx6ggSQcgAA3Hq0AkJfAACyYH0QYjsAANx6ggT0SwAAcktmRj8eAABPYvIjPx4AACFXjTX9GQAAF0Hbfm0pAAD4UmRrsw4AAHJLY5A/HgAAIVc8of0ZAAAqbiu2NxsAAJlTcMKMTQAA8W2Npg0QAABKX2RriwYAALVfOMvjTAAAsmBMxmI7AADxbXDCbSkAANx6f6ezDgAAaZPWsj8eAACXnjyh/RkAANx675SLBgAAuohKgEADAABulmRriwYAAL+iZGuzDgAA3HrZQYsGAACXno01/RkAANx6Si+zDgAAjoeeIDcbAADHh1kUbSkAAAaVfRBiOwAA3HrmCXU5AAAClpEL40wAAG6W5glCXwAATq1hH0JfAAAClpELonEAAAaVfRAigwAAfKyeIKpwAACgtDww+HAAAGmT8iNFoAAAl56NNYekAABhrY01QJAAAEaqZkZFoAAA3HpKL9GvAADxbTwwd64AANx62UH5twAAuoh/VkW7AAAClpV/dLYAACFXjTWHpAAARqpjkEWgAACdtWRr85UAAJC7ZGsPhQAAdLpOlKJxAAB0untConEAAJC775RCXwAAnbV/p0JfAABGqmZGPx4AAKC07VdtKQAARqpjkD8eAABhrTyhRC4AAJC7ZGt1OQAAoLSNpoxNAAD3vX9WPkwAAMgS6XKR4QAA+wBsZkSrAACMGeJ17OAAAI0Yumtt7AAAaCbiZfTzAAD0JbB91cUAAIITPX7QxgAAhjssc9XFAACQJbp+jbgAAIY7LHNEqwAAKCfLesSeAADfQGJjyocAAMoSUX+NuAAAVQsufI24AACIBfl2jbgAALoVEHuhnAAAjRi6a6yEAAA+GjpeJX0AABkP1WHKhwAAHwXwUNXFAAA4FElHT+kAAAQN20SlnQAA7x+zLoiPAABVNtYcyocAAKM8PxJL3QAArTsMDdXFAAD6VSkJzZEAAOVGjAWNuAAAtkaABpvFAAD7UNcPT+kAAMtQVhr08wAApl5+FG3sAAAZWj0xl/YAAPti7zhP6QAAh3PBG1XSAAAaHftOl/YAAFpTDk9t7AAARFeFUZHhAAAUckgv1cUAAGd2cSONuAAAL2pdO6WdAADeciolTp8AAERXhVGIjwAAiXVWEI24AACrcT8JjbgAAN5rCgSNuAAAaWTnAI24AAAYbhgNoZwAAKZefhSshAAADmT3GISFAAD1XP4hJX0AAEBlziuZhAAAvjV8XoJ6AADZ4G9zQN8AANbuvGqG4QAAlelqe4G4AADk3dZ7OKsAABnzMGTg4AAA2MM3d8nFAACF5uZkYewAAJPgLlfo8wAAzv1AWMnFAABUuS9oQ+kAANX8UmrExgAAzfLaQsnFAAAM/6lYgbgAABj+DWuBuAAAW/r+VrieAABf+G9xB6oAAKby0HeBuAAAj/Hkdj6qAAAg+RFolZwAANbuvGp8jwAAhebmZKCEAACC2eRtv4cAANjDN3c4qwAAE9bkYhl9AADa2PlHd3oAANOo7033dQAA0aOEUxV8AABvmA8u93UAAC+IrEW/hwAAJpwRXHyPAABCw3NxwpMAAFKBZEqZnQAAAn8tS0jGAAC7ezg/P90AANGjhFPs9AAAlcOwX4v2AADTqO9NCvsAANrY+UeL9gAA3981PUPpAAA9xFwv7PQAAHmkMCOL9gAAe4eyK+jzAAC6rrEaQ+kAAJh6PStD6QAAiYH7HWHsAAA5eSQYhuEAAFWMuglK0gAANqSpC8nFAAC85n04mZ0AALOyiBG5qgAA3981Pb+HAADoy88mfI8AAMykbRHCkwAAPcRcLxV8AAB5pDAjd3oAAIyO/BS/hwAAiYH7HaCEAAAIbdg0gbgAADFuDDWPxQAA7m7PGpWcAAA6a44YxMYAAPdp0xeBuAAAaHUQC4G4AACAdvwLPqoAAIeWEQhzqwAACpYeB4G4AAB5fncHgbgAANJ5qg5s1AAATjFLlv7MAAAGI3eb+8EAANYqPZW5wAAARR5foh3DAADBJqGiDtEAAFElC5TdowAARR7dsJyEAADBJqGirHYAAAYjd5u/hQAA1io9lQCHAACcMseOerIAAE4xS5a7egAA1DX5j5qHAACcMsCivmoAALNBoaJeYQAAnDJ7sL5qAAC4Up6pYlkAAABELbeZZAAAVFPdsKlaAADWRvG8tmkAAFRTX6KpWgAADY8esZ5WAABbj56pRFUAAKtmHqKeVgAAY6JfoqlaAABjot2wqVoAANx6tZpiWQAAWlY9lZlkAAAeV/mPSW0AANZGS467egAAAETkiwCHAADirkuWtmkAAFRTOYdwlAAAyUDXid2jAAC4UqCG3aMAALNBYIq7sgAAVFM5h0mzAACrZlOF5pMAAABE5Iu5wAAAY6I5h3CUAADirkuOu3oAANZGS47+zAAA5L9XnEltAADWRkuWBN4AAABEDpwh4wAAnDLAovzcAACzQaGiW+YAAFRTX6IQ7QAAyUCeqX7nAAAGI8S3+8EAANYqLbc8zwAA1ir+vbnAAAAGI8S3v4UAAMEm2b7+lAAA1iott314AABOMfG8u3oAAJwydMRAlQAA1kbwxLt6AAAARFfHAIcAALNB28j+lAAAVFMCzHCUAACankLDSW0AAOKu8by2aQAAuLEtt5lkAADirvDEu3oAAA2P6M3mkwAAuLFXxwCHAABjogLMcJQAAF1mi87dowAAAKOczN2jAAAcw3TEQJUAAO+0ZMndowAAY6ICzEmzAACrZujN07MAAPfO2b7+lAAAuLFXx7nAAAAcw3TEerIAAOS/QsMfwAAA4q7wxP7MAAD3ztm+u7IAAGrE8bz+zAAAstLEt/vBAADhyi23PM8AAHPX3bAdwwAA4q7xvATeAADWRvDE/swAANZG8bwE3gAAxFQ+yvvBAAAARFfHucAAALhSnMzdowAAyUBkyd2jAADUNULDH8AAAE4x8bz+zAAA1DXltnHaAAAARC23IeMAALhSnqlX7gAAxFTEt07pAACrZh6xG/EAAF1mnql18gAAY6LdsBDtAAANjx6iG/EAAGOiX6IQ7QAAAKOeqVfuAAC4sQ6cIeMAAO+0nql+5wAABbSasFvmAADirkuWBN4AABzDwKL83AAAmp75j3HaAADirkuO/swAALix5Iu5wAAAasRLlv7MAAANj1OF07MAAOS/+Y8fwAAAY6I5h0mzAABbj7CE3aMAAO+014ndowAABbRgiv6UAAC4seSLAIcAABzDx45AlQAA4co9lbnAAABn0AuU3aMAALLSd5v7wQAA986hog7RAAAcw3uw/NwAALixLbch4wAA4co9lQCHAACy0nebv4UAAGrES5a7egAAc9dfopyEAAD3zqGirHYAABzDwKK+agAAuLEOnJlkAADvtJ6pO2AAAOS/5bZJbQAA4cott314AACy0sS3v4UAAGrE8by7egAAEjyzzEmwAAAQN6LLwJUAACs/GMA8eQAAL0XpuzqVAACmPjrHD2AAABA3sdJwaQAAbDaS2T2lAABYNJLZfpYAAGw2ktn6aAAAbDa65xyHAAD1OALnhGoAAHI6NOA0XAAA3zkN7hyHAADRRJLZ5kYAAC9FNOD6RwAAGUazzAtLAAA1THTgnEEAADtH6+vmTwAAMFSiy5xBAAB0QOvxR2wAADtHg/MPYAAApj7r6yiuAAD3S8v6HIcAAHI6NOADsgAAeFQ89zRcAAA1auvxS1MAAHRA98ztugAAO0c6x1K+AAAvRTTgPcYAADtHor8orgAAeFRqxT3GAAD3S1q4HIcAADBU67jHpAAANUzruHd4AABqTVq97l0AAOpTHrf0dwAA9ltauPpoAAC4TTrBS1MAAL1j67hwaQAA9luDtn6WAAD2W1q4PaUAAHVj6bsDsgAAJWuYurSjAAD1a1q4HIcAADVqOsHtugAA03GzzCzDAAD2W2vL0c0AAL1josubzAAANUyx0pvMAAACZHPScdAAAPVrktnRzQAAy1OS2brRAAD3S5LZ0c0AAMhMAucKyQAAt2t04JvMAAD2W7rn0c0AAPZbDe5RxwAAuE3r8e26AAC+cjTgPcYAALJw6+tSvgAAO3mS2T2+AAB5dy3m7boAAA1+ktmzsgAARnk6xyiuAADBeBjA+5QAALJwor8PYAAAdWPpuzRcAAB1Y2rF+kcAANyAost3eAAA3ICx0sekAADmgrHgRJYAAPd+Aue0owAAgYG65xyHAACUg5LZuXcAAIGBktn6aAAA2nuzzO5dAAB7fbvt/ngAAHl3OsFHbAAAsnA6x+ZPAAB5d/fMS1MAADt5ktn6TwAARnnr6w9gAAC+cjTg+kcAAPVrktlmQAAAAmSx4MY9AADqU3PSxj0AAPZbuudmQAAAg2rL9e5dAAB5d+vxR2wAADt5efMchwAA9lvL+vpoAAC3azr6d3gAABtzvfcchwAAAmQH/PR3AADqUwf89HcAAHl36/HwoQAA6lMH/ESWAAD2W8v6PaUAAMhMjPi0owAAeFQ89wOyAACycIPzKK4AAMl+A9A5lQAAoIbaxKV5AABxjM/At5QAAB+GwctMYQAA0Xyc1mh4AAA8k+u95ngAAICBf93oXAAAZpQ0wj1fAAAqhn/dv1EAAMl+JuReagAAoYM18JBsAABxjOnjAkoAAFSNC9H5TAAAPJMm5NlDAACylPPF81QAAACTf92uQgAA85oD0NlDAAB4ol697GkAALipAMoCSgAAsJqc1iRAAABAqpzWJEAAALCaLLxoeAAAQKpi5CRAAACwmiy8uJUAAP2p671eagAAQKosvLiVAAC4qc/AkV0AAGuOacTUrAAAhbZpxExhAACFtsHLq1EAANq4UsAQhwAA/anrvcKjAAB4olLAOLEAAD+w88UtuQAAOZsAyh7EAACdtwvRJ8EAAP2pA9BGygAAa47By3W8AABRvtrEe5QAAMe+csQQhwAA0b7By9SsAAATvfPFHW0AAFDBC9E9XwAAKMYD0OZ4AAATvU7R81QAAMe+f92/UQAAx8Z/3expAAAgyJzWaHgAACjGJuReagAAIMic1riVAADjwunjkV0AACDIYuS4lQAAKMYm5MKjAABww3/dOLEAAFDBNfCQoQAAx75/3WG8AAATvbDpLbkAAIC46eMexAAA8bF/3XLLAAC0sSbkRsoAAECqnNb8zQAAsJpi5PzNAADKk4HQ08YAAACTf91yywAAcYzp4x7EAABmlDXwJ8EAAHiiTfEpxQAADoLp446wAADdh07RLbkAACp+f90zpAAA0Xyc1riVAADJfibkwqMAANF8YuRoeAAADoL+8LeUAACAgU3xEIcAAN2HCvUdbQAAa46V9kxhAABxjC76t5QAAGuOPe+rUQAAeKJN8fdIAACKsDXw+UwAADmbLvqRXQAAeKKg/expAACdt8r4kGwAAACToP0QhwAAeKJn/y94AACwmtH+uJUAAECq0f5oeAAA/akT/cKjAABrjpX21KwAADmbLvqOsAAAeKKs+jixAACylAr1LbkAAD+wCvUtuQAAhbY973W8AACFtpX21KwAAIC4Lvq3lAAA2ris+hCHAAATvQr1HW0AANG+Pe9MYQAAgLjp4wJKAAAhV4S3QJAAAC5VNr6jgQAAk04frsmOAADxbXDCF5UAADxJK7aqcAAA5UMrpKOBAADlQy2R7JIAABdB234XlQAAQzuVf3yEAAAoOu+UQl8AABdBjaaMTQAAwTdKgEZyAACUNmRrkHIAAEM7NFd8hAAAYjVka0JfAACUNi5WQl8AAJQ2ZGv0SwAAhz74QyKDAADlQ5xF7JIAAFZIjTVAkAAAF0E8MPhwAAByS/Ij64AAAME3f1Y+TAAAQzs0Vwg6AABDO5V/CDoAAIc+0ZJiOwAA5UMtkZgrAABWSDyhRC4AAHJL1rKZPQAALlU2vuE8AADJYTa+mCsAAMlhK6TmEwAAdW1OlBAIAAAuVS2R5hMAAJlT234NEAAAtV+VfxAIAAD9bEqAQAMAANx6ZGsAAAAAyGxka6MBAAD9bH9WQAMAANx6LlajAQAAtV80VxAIAACZU+1XDRAAAHVte0IQCAAALlWcReYTAADxbTwwDRAAAMlhnjLmEwAAKm6eIDcbAADxbVkUbSkAACFXRB9ELgAAk06qKLsvAAAuVZMY4TwAAOVDnEWYKwAA5UOeMuE8AAAXQe1XbSkAAC5VkxijgQAAyWGTGOySAADJYZ4ynqoAAMeHWRQXlQAAjoeeIE2jAADHhzwwd64AAO+TnjKeqgAAl55EH0CQAACKoJMYo4EAACWnqijJjgAA75OTGJgrAACKoJMY4TwAAMeHPDANEAAAaZPyIz8eAABCiHtCEAgAAO+TnjLmEwAAfKyeINpNAAC6iH9WQAMAAAKWNFcQCAAA8Ihka6MBAACKoJxF5hMAAB+i7VcNEAAAQohOlBAIAAAClpV/EAgAAB+i234NEAAAx4eNpg0QAACOhyu2NxsAAO+TK6TmEwAAiqAtkeYTAADHh3DCbSkAAIadH66KIgAAl56Et0QuAACKoDa+4TwAAHysK7baTQAA0rErpOE8AADSsS2RmCsAAKC0235tKQAAdLqVfwg6AAD3vUqAPkwAAKC0jab4cAAAJL+bgEJfAAAkv2Rr9EsAAHS6NFcIOgAA0rGcRZgrAABhrY01RC4AADG3+ENiOwAAoLQ8MIxNAABWwGRrQl8AAJC72UFCXwAA0rGeMqOBAADSsZxF7JIAAKC07VcXlQAAdLo0V3yEAAD3vX9WRnIAACS/ZGuQcgAAdLqVf3yEAAAxt9GSIoMAAEaq1rLrgAAA0rEtkeySAABhrTyhQJAAAIqgNr6jgQAA75M2vuySAABpk9ayRaAAACpuK7ZNowAAx4eNpneuAADxbY2md64AAMlhK6SeqgAALlUtkZ6qAACZU9t+d64AAHVtTpR0tgAAtV+Vf3S2AACZU+1Xd64AAP1sSoBFuwAALlWcRZ6qAAC1XzRXdLYAAMhsZGvhvAAA3HqbgOG8AAD9bH9WRbsAAHVte0J0tgAA3Hpka4W+AABCiHtCdLYAAPCIZGvhvAAAuohKgEW7AAACljRXdLYAAG6WZGv5twAAH6LtV3euAACKoJxFnqoAAB+i2353rgAAiqAtkZ6qAAAGldGS+rEAAO+TK6SeqgAAQohOlHS2AACcCTNoTN8AAKwDd2RV0gAAXgWFbHXTAACiAg1vVMYAAFUEDlvL0QAAcwYFdtDGAADCAVBcm8UAAAAAF2eNuAAAogINb8WqAABeBYVspZ0AAKwDd2TEngAAYg06bi2QAACtBzRhzpMAADkEMFGNuAAAJRNBZ4SFAADLCr5EVMYAAPMRalSZhAAAOBRJR8qHAADjH5liIXwAAP0KCVDOkwAA+wnHRI24AADLCr5ExaoAAF4SODhJqgAAIh3wLDKcAABKMBoVjbgAAIUwyxXFqgAA0ShKNCF8AACjPD8SzpMAAK07DA1EqwAApjs3DI24AACZQ6EWmYQAAPtQ1w/KhwAAy1BWGiV9AACjJTwg0MYAAF8xnRd10wAA7x+zLpHhAAD9CglQS90AAFU21hxP6QAA0ShKNPj0AADzEWpUgOwAAGINOm7s4AAAPho6XvTzAAAlE0FnlOsAAKYODXjm1AAApg4NeDKcAACCEz1+SaoAAMgS6XKIjwAAGh/HboSFAABoJuJlJX0AADkhD3fNkQAAAR4GfKWdAAA0HCN/xaoAADQcI39UxgAA9CWwfUSrAAABHgZ8ddMAAH0wuHl+qwAAOSEPd0zfAAAoJ8t6VdIAAOMfmWL49AAAbSKdU/L5AAByKPJXFvsAALQ+AjCO/QAAmUOhFoDsAADBTkYoFvsAAGFF8DPE/gAAvjV8Xpf2AACVSEdIFvsAAJozl2mA7AAAkDr5bUvdAABAZc4rgOwAAMZUmyzy+QAA9Vz+IfTzAABQV58d+PQAABlYcRGU6wAADmT3GJTrAABrZE8NkeEAAKddVgrs4AAA4E3XCUvdAAALUG0FVdIAADJZMgR10wAAtkaABn6rAACjUX4BjbgAAABbFQFUxgAAC1BtBcSeAAAAWxUBxaoAADJZMgSlnQAAsWP7AUmqAACnXVYKLZAAABlYcRGEhQAAjWgrCDKcAACNaCsI5tQAAMBwMwrQxgAAl20FGEzfAADWcbMTddMAAJF0KxFUxgAAOHbMGdXFAACRdCsRxaoAANZxsxOlnQAAOHbMGUSrAABxdegjm8UAAJdtBRjNkQAAhm8EH86TAABxdegjfqsAAFBXnx0hfAAAJ0iqJCd3AAA2bC8wzpMAAPti7zjKhwAAwU5GKAN2AABvK/5Hi3MAAHIo8lcDdgAA0jFITFVyAAAML45bJ3cAABlaPTGCegAAlUhHSAN2AACaM5dpmYQAAJA6+W3OkwAA/DAnd06fAACNOwJ0jbgAAK5GbWrFqgAA6UYea424AAARWkhTMpwAANVkAEhJqgAAaGx6O8WqAAA4bXE7jbgAAPpyCC+NuAAAaGx6O1TGAACQUfxf0MYAANRFm2h10wAANmwvMEvdAADecioly9EAALrbJnlK0gAAx+W0d2nTAACl6HJ6SMYAADfQQXjA0QAAj/HkdsTGAACH0c96j8UAAJ/e0HyBuAAApehyermqAADH5bR3mZ0AALrbJnm4ngAAE8QbeIG4AAA30EF4Qp8AAFu1WHFIxgAAEtgldcKTAABTtSRygbgAAGfD1XS4ngAAmejmbyGQAACK4BNqeYUAAEXJv2qNhAAA9Nt6XRV8AACT4C5XGX0AAMr0624nnAAA2+qRXnmFAAA79bVcwZEAANX8Umo+qgAADPv8X5mdAAC3/tVhuaoAAM79QFg4qwAAyvTrbtvUAACZ6OZv4OAAALf+1WFIxgAAiuATaonrAAAT1uRi6PMAAEXJv2p17AAA9Nt6Xez0AAAM+/xfadMAADv1tVxA3wAAW/r+VkrSAAAe9cFUP90AAML2R03A0QAA3vnUTXOrAADV89lCgbgAAM3y2kI4qwAAFfADQ7ieAADr6X43gbgAAFPsqEPCkwAAUOZcSo2EAACm1HNOG3cAALqusRq/hwAAyZ4hGI2EAACfz9FU93UAAMmrZzF/cwAARrx5UX9zAABNnkgoG3cAAGiTbTQbdwAAG4xnJRV8AAB7h7IrGX0AAL6BhDiNhAAAVLkvaL+HAACytSxvmZ0AAKOmmWk+qgAAXqZIaoG4AABHmGJg+8YAALuZw17b1AAAypftYIG4AADfihpWxMYAAEeYYmAHqgAAMIp9VoG4AADfihpWPqoAACN+YkuBuAAAUoFkSmnTAAC7ezg/wpMAAEF1BkA4qwAA+nfdP7ieAACYej0rv4cAADFuDDVzqwAAOXQHQIG4AAD6d90/StIAAE1xmTXA0QAAtG3iK0rSAAAviKxFQ+kAAPFyHy4/3QAAAmk4KoG4AAACbeQiadMAAFdpCyFIxgAAtG3iK7ieAABXaQshuaoAAAJt5CKZnQAAOmuOGD6qAAD1dLAeIZAAADN9TyR5hQAARHP1EyecAACFh84YeYUAAHV/+xIhkAAAR4ItC5mdAAD8j7wNwpMAAFWMugm4ngAAaX9vCLmqAADXl58KQp8AACqKCgfJxQAAaX9vCEjGAACAdvwLxMYAAEeCLQtp0wAARHP1E9vUAAA1h3EPQN8AAPV0sB7g4AAAhYfOGInrAAAzfU8kiesAAPuR/R/o8wAAG4xnJez0AAC+gYQ4dewAAG+YDy4K+wAATZ5IKOf5AACDoPo9g/0AAMLJmFrn+QAAQsNzcT/dAABnw9V0StIAAKbUc07n+QAAjMfnRIP9AABQ5lxKdewAAMmeIRh17AAA15efCsDRAADMpG0RP90AAIeWEQiPxQAAp6QLDkrSAAD8o8YKgbgAALOyiBFIxgAAu7K8EIG4AABTzh0k29QAAKekCw64ngAAsMGZGIG4AADHz34i+8YAAFyytBOZnQAAbMFHGT6qAAAv3cYsPqoAAMfPfiIHqgAA391jLIG4AABE0PMhgbgAAC/dxizExgAAvOZ9OGnTAAAV8ANDStIAAFPsqEM/3QAAYjrfltbWAABiOquRw8sAAGRIq5HW1gAAYjqRwfZ7AABaVlfHfXgAAGRIkcHjcAAAYjpdvONwAABaVuSLPM8AAFpWPZUh4wAAYGjHjvzcAAANaGKUW+YAAA1oYIoO0QAAWmfvmhDtAABaZzmHHcMAAFiNx4783AAAq41gig7RAACrZlOF07MAAF6OOYcdwwAA3HqwhBG0AABiOquR9nsAAFpW/r2ZZAAAYGh0xL5qAAANaNm+XmEAAA1o28isdgAAWmdNuKlaAABYjXTEvmoAAFpnAsychAAAq43byKx2AACrZujN5pMAAF6OAsychAAA3HqLzqiTAADcejDP3aMAAGI6kcHDywAAYjpdvNbWAACrZh6iG/EAANx6AaJ18gAAq41ilFvmAABeju+aEO0AAF6fPZUh4wAAXp/kizzPAABTrauR1tYAANx6C4TdowAA3HqwhKiTAABaZzmHnIQAAFpW5It9eAAADWhgiqx2AABkSKuR43AAAGI635bjcAAA1kZLlrZpAACrZh6xnlYAAFpn75qpWgAA3Ho7sURVAADcep6p5FMAANx6AaJEVQAAq43Zvl5hAABejk24qVoAAF6f/r2ZZAAAXp9Xx314AABTrZHB43AAAFa7XbzjcAAAVruRwfZ7AADceovOEbQAAA2P6M3TswAAWmcCzB3DAABaVlfHPM8AAGRIkcHW1gAAXo4CzB3DAABaVv69IeMAAFpnTbgQ7QAADWjZvlvmAAANaNvIDtEAAGBodMT83AAAq43byA7RAACrjdm+W+YAAFiNdMT83AAAXp9XxzzPAABWu5HBw8sAAF6f/r0h4wAAU62RwdbWAABWu1281tYAAA2PHqKeVgAAXo7vmqlaAAANaGKUXmEAAGBox46+agAAq41ilF5hAABenz2VmWQAAFiNx46+agAAq41giqx2AABejjmHnIQAAA2PU4XmkwAAXp/ki314AABTrauR43AAAFa7q5H2ewAAVrvfluNwAABWu6uRw8sAAFa735bW1gAA3HqeqdXzAADcejuxdfIAAA2PHrEb8QAAXo5NuBDtAACmPjrHKK4AAPU4I8y0owAAEDex0sekAAASPDrGg6IAAERCxseBtwAARELVwv2sAADaR9XCgbcAAHI68NIDsgAAGUazzCzDAAArPw7TV70AAC9F8NI9xgAAEDd04MekAAAQN4PnwJUAAFg0zeAchwAAcjq77TqVAAAQN4Pnd3gAAHI6u+3+eAAAKz8N8zx5AAAvRTz3/ngAABlGy/W1awAAREJP8DphAACmPuvrD2AAAGpNy/XuXQAA2kdP8LZWAABEQl/rtlYAABI8cubuXQAAEDd04HBpAACnM5LZHIcAAFg0ktm5dwAAWDRY0hyHAAAHNXPS9HcAAGw2a8schwAAEDeiy3d4AADfORfFHIcAACs/GMD7lAAAGUZavYOiAABqTVq9SbAAAGpNOsYswwAAmVQYwFe9AAB4VOm7A7IAADBUosubzAAA9lsXxVHHAABUYxjAV70AADVM67jAlQAA6lMet0SWAAC9Y+u4x6QAANFEaLschwAAy1ODthyHAAB0QDrBR2wAABlGWr21awAAEjw6xrVrAABEQtXCOmEAABI8s8zuXQAAcjrw0jRcAAArPxfg4FAAACs/DtPgUAAAGUZy5gtLAABqTevsC0sAAJlUDfPgUAAAeFS77fpHAAAwVIPnnEEAAFRjDfPgUAAAMFQ6+nBpAAB1Yzz3NFwAADVMOvp3eAAAvWM6+nBpAAD2W6H8uXcAACs/DfP7lAAAL0U89zqVAAA1TDr6wJUAAPZbP/0chwAAEjzr7IOiAAASPHLmSbAAAERCT/D9rAAAdEAt5u26AABEQl/rgbcAABlGcuYswwAA6lNz0nHQAAA1THTgm8wAAPZbWNK60QAAg2o6xizDAACDalq9SbAAABNw1cKBtwAAJWsjzArJAACycDrHUr4AALJwor8orgAA9lvmtRyHAAC3a+u4wJUAACFkg7YchwAAyEyYuoRqAAAwVOu4cGkAADtHor8PYAAAeFTpuzRcAADaR9XCtlYAAERCxse2VgAAO0c6x+ZPAABqTTrGC0sAAC9F8NL6RwAAyEwjzC1FAAA1TLHSnEEAAOpTseDGPQAAy1OS2X08AAD2W5LZLzsAAPZbWNJ9PAAAdWO77fpHAAC9Y4PnnEEAACFkktl9PAAAJWsC5y1FAAC3a3TgnEEAABNwT/C2VgAAsnDr6+ZPAADTcXLmC0sAACVrjPiEagAAsnCD8w9gAACodV/rtlYAAHl3LeZLUwAAqHVP8DphAADTccv1tWsAANp7cubuXQAA2nvr7LVrAADBeA3zPHkAACFkofwchwAA9luh/H6WAAC3azr6wJUAADBUOvrHpAAAO0eD8yiuAABqTcv1SbAAANpHT/CBtwAAO0fr61K+AAC9Yzr6x6QAADBUg+ebzAAAeFS77T3GAACZVA3zV70AAHVjPPcDsgAAdWO77T3GAABUYw3zV70AAINqy/VJsAAA03HL9YOiAADBeA3z+5QAAHt9u+06lQAAqHVP8P2sAACDauvsLMMAABNwT/CBtwAAqHVf64G3AABGeevrKK4AANp7cuZJsAAA03Fy5izDAADcgIPnwJUAANyAg+d3eAAAlIPN4ByHAADcgHTgcGkAAHt9NOA0XAAAe33w0jRcAADBeA7T4FAAAL5y8NL6RwAAt2ux0pxBAAD2W2vLZkAAAL1josucQQAA03GzzAtLAAD2WxfF5kYAAJlUGMDgUAAAg2o6xgtLAABUYxjA4FAAAAJkHrf0dwAAt2vruHd4AACDalq97l0AAL5y6bs6lQAAvnLpu/54AADTcVq9tWsAAMF4GMA8eQAAE3DVwrZWAACoddXCOmEAAKh1xse2VgAARnk6xw9gAADaezrGtWsAAPd+I8yEagAA3ICx0nBpAABGhJLZHIcAAJSDWNIchwAAgYFryxyHAACUg5LZfpYAAOaCc9JElgAADX4XxRyHAADcgKLLwJUAAHl3OsHwoQAA2ns6xoOiAACoddXC/awAAKh1xseBtwAA2nuzzEmwAAB7ffDSA7IAAMF4DtNXvQAAvnLw0j3GAAC3a7HSm8wAAPZbktkJ0wAA9lvN4LrRAAACZLHgcdAAAL1jg+ebzAAAwXgX4Fe9AADcgHTgx6QAAB+GwcvUrAAAnoCB0LeiAADJftfWwqMAAKGDycqQoQAAn4lIzN61AACfiYHHs6sAAAWPgcfetQAADoIV146wAABUjQvRJ8EAAKCGMdeDuwAAcYwV1x7EAADRfGLkuJUAAMl++uo5lQAAKHx85BCHAADJfvrq5ngAAA6C/vBpeQAAoIYj9qV5AABxjC76aXkAAFSNyviQbAAAn4l8821iAAAfhj3vTGEAAGaUyvg9XwAABY9880JYAACfibXuQlgAAJ6AfeppawAAoYPy6T1fAAB8e3/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"), 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"), 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"), 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") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_lpw3g") diff --git a/Resources/meshes/plane.tres b/Resources/meshes/plane.tres new file mode 100644 index 0000000..a4dbb70 --- /dev/null +++ b/Resources/meshes/plane.tres @@ -0,0 +1,40 @@ +[gd_resource type="ArrayMesh" load_steps=3 format=3 uid="uid://cx3mytwy5a0ld"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_juade"] +resource_name = "gold" +cull_mode = 2 +albedo_color = Color(0.5599798, 0.46687463, 0.24808455, 1) +metallic = 0.8496732 +roughness = 0.61764705 + +[sub_resource type="ArrayMesh" id="ArrayMesh_1o2vn"] +_surfaces = [{ +"aabb": AABB(-10.976849, 0, -1, 21.953697, 1e-05, 2), +"format": 34896613377, +"index_count": 6, +"index_data": PackedByteArray(0, 0, 1, 0, 2, 0, 0, 0, 3, 0, 1, 0), +"name": "gold", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 4, +"vertex_data": PackedByteArray(0, 0, 0, 0, 255, 255, 0, 0, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 0, 0, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) +}] +blend_shape_mode = 0 + +[resource] +resource_name = "assets_Plane_012" +_surfaces = [{ +"aabb": AABB(-10.976849, 0, -1, 21.953697, 1e-05, 2), +"attribute_data": PackedByteArray(0, 0, 255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 0, 0, 0, 0), +"format": 34896613399, +"index_count": 6, +"index_data": PackedByteArray(0, 0, 1, 0, 2, 0, 0, 0, 3, 0, 1, 0), +"material": SubResource("StandardMaterial3D_juade"), +"name": "gold", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 4, +"vertex_data": PackedByteArray(0, 0, 0, 0, 255, 255, 255, 191, 255, 255, 0, 0, 0, 0, 255, 191, 255, 255, 0, 0, 255, 255, 255, 191, 0, 0, 0, 0, 0, 0, 255, 191, 255, 255, 255, 127, 255, 255, 255, 127, 255, 255, 255, 127, 255, 255, 255, 127) +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_1o2vn") diff --git a/Resources/meshes/player_animated.tres b/Resources/meshes/player_animated.tres new file mode 100644 index 0000000..61db6cf --- /dev/null +++ b/Resources/meshes/player_animated.tres @@ -0,0 +1,166 @@ +[gd_resource type="ArrayMesh" load_steps=7 format=4] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_7dgg5"] +resource_name = "suit" +cull_mode = 2 +albedo_color = Color(0, 0.19999965, 0.59999996, 1) +roughness = 0.3 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_jvc2n"] +resource_name = "visor" +cull_mode = 2 +albedo_color = Color(0.66666126, 0.5780528, 0.264203, 1) +metallic = 0.6143791 +roughness = 0.04248366 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_0ajvi"] +resource_name = "highlight" +cull_mode = 2 +albedo_color = Color(1, 0.7999997, 0, 1) +roughness = 0.5 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_2w3mu"] +resource_name = "antenna" +cull_mode = 2 +albedo_color = Color(0.7499889, 0.77488834, 0.81999606, 1) +metallic = 0.11764705 +roughness = 0.4738562 + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_n6caj"] +resource_name = "eu_yellow" +cull_mode = 2 +albedo_color = Color(1, 0.7999997, 0, 1) +roughness = 0.5 +emission_enabled = true +emission = Color(1, 0.7999997, 0, 1) +emission_energy_multiplier = 1.0000005 + +[sub_resource type="ArrayMesh" id="ArrayMesh_c8kyu"] +_surfaces = [{ +"aabb": AABB(-0.5675274, -1.3856204, -0.65388167, 1.135055, 1.8359324, 1.0410119), +"format": 34359742465, +"index_count": 17076, +"index_data": 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"), 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"), 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/rKoqPquqOj+sqio+AABAPwAAAAAAAEA/qKqqPVVVRT8AAAAAVVVFP6iqqj1VVUU/rKoqPquqSj8AAAAAq6pKP6yqKj4AAFA/qKqqPQAAUD+sqio+VVVVPwAAAABVVVU/qKqqPauqWj8AAAAAq6paP6iqqj2rqlo/rKoqPgAAYD8AAAAAAABgP6yqKj5VVWU/qKqqPVVVZT+sqio+q6pqPwAAAACrqmo/qKqqPQAAcD8AAAAAAABwP6iqqj0AAHA/rKoqPlVVdT8AAAAAVVV1P6yqKj6rqno/AAAAAKuqej+oqqo9q6p6P6yqKj5VVRU/q6pqP6uqGj9VVVU/q6oaPwAAgD8AACA/q6pqPwAAID8AAIA/VVUlP1VVVT9VVSU/q6pqP1VVJT8AAIA/q6oqP1VVVT+rqio/q6pqPwAAMD9VVVU/AAAwPwAAgD9VVTU/q6pqP1VVNT8AAIA/q6o6P1VVVT+rqjo/q6pqPwAAQD9VVVU/AABAPwAAgD9VVUU/VVVVP1VVRT+rqmo/VVVFPwAAgD+rqko/q6pqP6uqSj8AAIA/AABQP1VVVT8AAFA/q6pqP1VVVT8AAIA/q6paP1VVVT+rqlo/q6pqP6uqWj8AAIA/AABgP1VVVT8AAGA/q6pqPwAAYD8AAIA/VVVlP6uqaj+rqmo/VVVVP6uqaj8AAIA/AABwP6uqaj8AAHA/AACAP1VVdT9VVVU/VVV1P6uqaj9VVXU/AACAP6uqej9VVVU/q6p6P6uqaj+rqno/AACAP1VVJT+qqqo+q6oaP6qqKj8AACA/AAAAPwAAID9WVRU/AAAgP6qqKj9VVSU/VlXVPquqKj+qqqo+VVUlP1ZVFT9VVSU/qqoqP6uqKj9WVdU+AAAwP6qqqj6rqio/VlUVPwAAMD9WVdU+AAAwPwAAAD8AADA/qqoqP6uqOj+qqqo+VVU1P1ZVFT9VVTU/qqoqP6uqOj9WVdU+AABAP6qqqj6rqjo/AAAAP6uqOj9WVRU/q6o6P6qqKj8AAEA/VlXVPlVVRT+qqqo+AABAP1ZVFT9VVUU/VlXVPlVVRT8AAAA/VVVFP6qqKj8AAFA/qqqqPquqSj9WVRU/q6pKP6qqKj8AAFA/VlXVPlVVVT+qqqo+AABQPwAAAD8AAFA/VlUVPwAAUD+qqio/VVVVP1ZV1T6rqlo/qqqqPlVVVT9WVRU/q6paP1ZV1T6rqlo/AAAAP6uqWj+qqio/VVVlP6qqqj4AAGA/VlUVP1VVZT9WVdU+q6pqP6qqqj5VVWU/AAAAP1VVZT9WVRU/VVVlP6qqKj+rqmo/VlXVPgAAcD+qqqo+q6pqPwAAAD+rqmo/VlUVP6uqaj+qqio/AABwP1ZV1T4AAHA/qqoqP6uqej+qqqo+VVV1PwAAAD9VVXU/VlUVP6uqej9WVdU+q6p6P1ZVFT+rqno/qqoqPzEQ/D7w/38+RxgAP/D/Pz77HAA/8P//PX8i/D7o//89myUCP/D/fz51FgA/+v+fPvIO/D4AAMA+VyUCP/7/vz5oFgA//v/fPvIO/D7+//8+ViUCP/z//z5oFgA/AAAQP/IO/D4AACA/ViUCP///Hz92FgA///8vPzAQ/D4AAEA/miUCPwAAQD9IGAA/AABQP38i/D4AAGA/tygCPwAAYD+hJgA/AABwPzUzAD8AAIA/oCYAP+D/fz01MwA/AAAAtBoYAD/0/z8+RwT6PvD/Pz5UHAA/6P//PccWAD/0/38+AwD6Pv7/nz5XLQM/8P8/PoowAz/A/389diYAP+D/fz16N/o+4P9/PTUzAD8AAAC0cRYAP/z/nz7PLAM/+v+fPmgWAD/+/78+AwD6Pv7/3z5nFgA//P/fPs4sAz/8/98+aBYAP/7//z4DAPo+AAAQP2cWAD8AABA/ziwDP/7/Dz9oFgA/AAAgPwMA+j7//y8/cRYAPwAAMD/OLAM///8vP8YWAD///z8/RwT6Pv//Tz8aGAA/AABQP1YtAz8AAFA/VRwAPwAAYD97N/o+AABwP4owAz8AAHA/NTMAPwAAgD8xEPw+8P9/PgtX+j7o//89fyL8Puj//z0eb/o+4P9/PQVC+j78/58+8g78PgAAwD7gQfo+/v+/PvIO/D7+//8+30H6PgAAED/yDvw+AAAgP+BB+j4AACA/MBD8PgAAQD+sR/o+AABQP38i/D4AAGA/C1f6PgAAYD8LV/o+6P//PXo3+j7g/389RwT6PvD/Pz4eb/o+4P9/PQVC+j78/58+AwD6Pv7/nz7gQfo+/v+/PgMA+j7+/98+30H6PgAAED8DAPo+AAAQP+BB+j4AACA/AwD6Pv//Lz+sR/o+AABQP0cE+j7//08/C1f6PgAAYD97N/o+AABwP8oNAz/w//89myUCP/D/fz7kCwM/+v+fPocVAz/Q/3894AsDP/r/vz5XJQI//v+/PlYlAj/8//8+3wsDP/7/Dz/gCwM///8fP1YlAj///x8/miUCPwAAQD+LDAM/AABQP8oNAz8AAGA/tygCPwAAYD/PLAM/+v+fPlctAz/w/z8+5AsDP/r/nz7KDQM/8P//PeALAz/6/78+hxUDP9D/fz3OLAM//P/fPoowAz/A/389ziwDP/7/Dz/fCwM//v8PP+ALAz///x8/ziwDP///Lz9WLQM/AABQP4sMAz8AAFA/yg0DPwAAYD+KMAM/AABwP0GX9D7w/38+OusAP/D/Pz5zwAA//P9/PutU9T7g//89VyUIP+j//z1zrgA/+v+fPtBg9D4AAMA+FSEHPwAAwD4DrQA//v/fPnGJ9D4AAAA/JSUHPwAAAD+SugA/AAAQP+Gl9D4AACA//icHPwAAID/5vwA//v8vP8O39D4AAEA/M8oAP///Pz9X7wA///9PP/xY9T4AAGA/J531PgAAcD/AJQg/AABgPwNjAj8AAHA/6agDPwAAgD/eYgI/8P9/PemoAz8AAAC0Pk3uPvD/Pz43VwE/6P//PYB37j74//898L4AP/T/fz4a9+0+/v+fPomUCj/w/z8+2SsNP+D/fz2wXgI/4P9/PemoAz8AAAC0xa0AP/z/nz5CXQo//v+fPoenAD/+/78+GvftPv7/3z5CXQo//v/fPle1AD/+//8+mzHuPgAAED+5ugA/AAAQP0JdCj8AABA/rL0AP///Hz87QO4+//8vP0JdCj///y8/SMgAP///Pz/eW+4+//9PP6PqAD8AAFA/iZQKP///Tz86WAE/AABgP7MB7z4AAHA/2CsNPwAAcD/pqAM/AACAP1clCD/o//89ikEKP/T/Pz7M9wk//P+fPivgDD/w/389FSEHPwAAwD7q9Qk//v/fPiUlBz8AAAA/evYJPwAAED/+Jwc/AAAgP4f4CT///y8/tEEKP///Tz/AJQg/AABgPyzgDD8AAHA/ikEKP/T/Pz5CXQo//v+fPomUCj/w/z8+zPcJP/z/nz4r4Aw/8P9/PUJdCj/+/98+2SsNP+D/fz3q9Qk//v/fPkJdCj8AABA/evYJPwAAED9CXQo///8vP4f4CT///y8/iZQKP///Tz+0QQo///9PP9grDT8AAHA/LOAMPwAAcD9Bl/Q+8P9/Prwg7z70/z8+61T1PuD//z3Ewu8+0P9/PdnI7j78/58+0GD0PgAAwD7Rx+4+/P/fPnGJ9D4AAAA/ov3uPgAAED/hpfQ+AAAgP/sN7z7//y8/w7f0PgAAQD+LMO8+AABQP/xY9T4AAGA/J531PgAAcD9Cw+8+AABwP7wg7z70/z8+gHfuPvj//z0+Te4+8P8/PsTC7z7Q/3892cjuPvz/nz4a9+0+/v+fPtHH7j78/98+GvftPv7/3z6i/e4+AAAQP5sx7j4AABA/+w3vPv//Lz87QO4+//8vP4sw7z4AAFA/3lvuPv//Tz9Cw+8+AABwP7MB7z4AAHA/AADgPgAAcD8BAAA/AABgPwEA4D4AAIA/AQDAPgAAcD8AAOA+AABgPwEAwD4AAGA/AQAQPwAAcD8CABA/AACAPwEAID8AAHA/AQAgPwAAYD8BABA/AABgPwEAID8AAFA/AgAQPwAAUD8CABA/AABAPwEAID8AADA/AADgPgAAUD8BAMA+AABQPwEAAD8AAEA/AADgPgAAQD8BABA/AAAwPwAA4D4AADA/AQDAPgAAMD8BABA///8fPwEAID8AABA/AQAAP///Hz8AAOA+//8fPwIAED8AABA/AADgPgAAED8BAMA+AAAQPwIAED8AAAA/AQAAP/7//z4AAOA+/v//PgAAID/+/98+AQAQP/7/3z4AAOA+/v/fPgIAwD7+/98+AgCgPv7//z4BAAA/AADAPgEAoD7+/98+AADgPgAAwD4CAMA+AADAPgEAQD7+//8+AQCgPgAAwD4CAEA+/v/fPgEAAD7+/98+AACAPgAAwD4CAEA+AADAPgEAAD78/78+AQAAPv7/nz4BAEA+/P9/PgAAgD7+/58+AgCgPvz/fz4AAKA+/v+fPgAAwD7+/58+AADgPv7/nz4AAOA+AACAPgAA4D74/z8+AQDAPvj/Pz4BAAA/AACAPgAA4D74//89AQAAP/j//z0AAOA+8P9/PQEAwD7g/389AQDgPgAAALQBAAA/8P9/PQIAED8AAAC0AgAQP/D/fz0BACA/4P9/PQEAED/4//89AQAQP/j/Pz4BACA/+P8/PgIAED/4/38+AgAQP/7/nz4BACA//v+fPgEAED8AAMA+AQAwP/z/fz4AACA/AADAPgEAMD8AAMA+AABAP/7/nz4CAFA//P9/PgEAMD/+/98+AQAwP/7//z4AAEA/AADAPgEAUD/+/58+AgBgP/7/nz4BAFA/AADAPgIAYD/8/78+AQBQP/7/3z4CAFA//v//PgIAYD/+/98+AAAAPQAAAD8OTvw88EfsPSJ87DnwR+w9AADAPQAAAD8IJ3498EfsPffYAT34R+w9AAAAPgAAAD+FE7898EfsPXzsgD34R+w9AAAgPgAAAD+EE/898EfsPX7swD3wR+w9w4kfPvBH7D0+dgA++EfsPQAAYD4AAAA/wok/PvBH7D0+diA+8EfsPQAAgD4AAAA/wolfPvBH7D0+dkA++EfsPQAAkD4AAAA/wYl/PvBH7D09dmA+8EfsPeHEjz7wR+w9HzuAPvBH7D0AALA+AAAAP+HEnz7wR+w9HzuQPvBH7D0AAMA+AAAAP+HErz7wR+w9HzugPvBH7D0AANA+AAAAP+LEvz7wR+w9HjuwPvhH7D3hxM8+8EfsPR87wD7wR+w9AADwPgAAAD/gxN8+8EfsPR470D7wR+w9AAAAPwAAAD/hxO8+8EfsPR474D7wR+w9AAAIPwAAAD/ixP8+6EfsPSA78D7wR+w9ceIHP+hH7D2PHQA/8EfsPQAAGD8AAAA/cOIPP/BH7D2QHQg/8EfsPQAAID8AAAA/cOIXP/BH7D2PHRA/8EfsPQAAKD8AAAA/cOIfP/BH7D2QHRg/8EfsPXHiJz/wR+w9kB0gP/BH7D0AADg/AAAAP3HiLz/wR+w9kB0oP/BH7D0AAEA/AAAAP3DiNz/wR+w9kB0wP/hH7D0AAEg/AAAAP3HiPz/wR+w9jx04P/BH7D1x4kc/8EfsPZAdQD/wR+w9AABYPwAAAD9y4k8/8EfsPZAdSD/wR+w9AABgPwAAAD9x4lc/8EfsPY8dUD/wR+w9AABoPwAAAD9x4l8/8EfsPZAdWD/4R+w9cOJnP+hH7D2OHWA/+EfsPQAAeD8AAAA/ceJvP/BH7D2PHWg/+EfsPXDifz/oR+w9cuJ3P/BH7D2OHXg/+EfsPY8dcD/4R+w9TZ5FPnbDHD81Pis+u0kgPzU+Kz67SSA/7B8UPvwHJT9NnkU+dsMcP8E8Yj7alxo/8SYBPo7PKj/BPGI+2pcaPwIAgD4+3Bk/ZEErPuxKID99oEU+ysQcP989Yj5CmRo/oeGOPtqXGj/cMJ0+d8McPwIAgD6u3Rk/3DCdPnfDHD/nYKo+vEkgPxLhjj5CmRo/BPC1PvwHJT/CL50+ysQcPwTwtT78ByU/h2y/Po7PKj9PX6o+7kogP/7ttT4ACSU/D3nGPpJnMT9K0Mo+MI84PyRqvz5a0Co/StDKPjCPOD9qdsY+H2gxP3rNyj54jzg/ecXKPkSQOD/gbsY+rmkxP1xjvz6e0io/OOi1PuILJT+Vi8E+K3s5PwqRtz6Sby0/ZUGvPkxfKD/gIKU+ejckP8Zaqj5STiA/oyydPo7IHD+tCY0+MzofP3rfjj5CnRo/AwCAPtaVHj8CAIA+wuEZP7TsZT4yOh8/4NlMPvwgIT+9pkU+j8gcP0e+NT55NyQ/dkorPlBOID8zfSE+S18oP4UvFD7iCyU/SDkBPp7SKj+1KwE+WtAqP/WDBD52NjM/fETmPa5pMT+p0fk9K3s5Pxbq1D1DkDg/VCbmPR5oMT8QytQ9d484P70b5j2SZzE/vRvmPZJnMT/SvtQ9MI84P9K+1D0wjzg/fwM0P5W9Az+B/Es/lb0DP10iYj8d6gw/4xVzP6PdHT/UcWs/LI4UP2tCfD9+AzQ/a0J8P4L8Sz+kcH0/AABAP+MVcz9dImI/gfxLP2tCfD9dImI/4xVzP9Rxaz/UcWs/fwM0P2tCfD8AAEA/pHB9P6PdHT/jFXM/lb0DP4L8Sz8d6gw/XSJiPyyOFD/UcWs/o90dPx3qDD8d6gw/o90dPyyOFD8sjhQ/lb0DP34DND9cjwI/AABAPwIAgD4+3Bk/wTxiPtqXGj/cMJ0+d8McP02eRT52wxw/52CqPrxJID81Pis+u0kgPwTwtT78ByU/h2y/Po7PKj/xJgE+js8qP70b5j2SZzE/StDKPjCPOD/SvtQ9MI84PwEA+j74/38+GhgAP/T/Pz5UHAA/6P//PccWAD/0/38+Vy0DP/D/Pz6KMAM/wP9/PXYmAD/g/389NTMAPwAAALRxFgA//P+fPs8sAz/6/58+aBYAP/7/vz5nFgA//P/fPs4sAz/8/98+AQD6PgAAAD9oFgA//v//PmcWAD8AABA/ziwDP/7/Dz9oFgA/AAAgP3EWAD8AADA/ziwDP///Lz/GFgA///8/P0cE+j7//08/Vi0DPwAAUD9VHAA/AABgP3YmAD8AAHA/ijADPwAAcD81MwA/AACAPzEQ/D7w/38+RxgAP/D/Pz7ZFgA//P9/PvscAD/w//89fyL8Puj//z23KAI/4P//PZslAj/w/38+oEICP+D/fz11FgA/+v+fPvIO/D4AAMA+aBYAP/r/vz5XJQI//v+/PmgWAD/+/98+8g78Pv7//z5WJQI//P//PmgWAD8AABA/8g78PgAAID9oFgA/AAAgP1YlAj///x8/dhYAP///Lz8wEPw+AABAP9kWAD8AAEA/miUCPwAAQD9IGAA/AABQP38i/D4AAGA/+xwAPwAAYD9AFfw+AABwP7coAj8AAGA/oSYAPwAAcD81MwA/AACAP6AmAD/g/389NTMAPwAAALSrR/o+9P8/PgtX+j7o//89AQD6Pvj/fz7hQfo+AADAPuBB+j4AAOA+AQD6PgAAAD/gQfo+AAAgPwVC+j4AADA/RwT6Pv//Tz8LV/o+AABgPx9v+j4AAHA/q0f6PvT/Pz4xEPw+8P9/PgtX+j7o//898g78PgAAwD5/Ivw+6P//PeFB+j4AAMA+4EH6PgAA4D7yDvw+/v//PvIO/D4AACA/4EH6PgAAID8FQvo+AAAwPzAQ/D4AAEA/fyL8PgAAYD8LV/o+AABgP0AV/D4AAHA/H2/6PgAAcD9XLQM/8P8/PsoNAz/o//89zywDP/r/nz6IFQM/4P9/PeQLAz/8/58+ijADP8D/fz3gCwM//P+/Ps4sAz/8/98+ziwDP/7/Dz/fCwM//v8PP+ALAz///x8/ziwDP///Lz9WLQM/AABQP4sMAz8AAFA/yg0DPwAAYD+KMAM/AABwP7coAj/g//89yg0DP+j//z2gQgI/4P9/PYgVAz/g/389myUCP/D/fz7kCwM//P+fPuALAz/8/78+VyUCP/7/vz5WJQI//P//Pt8LAz/+/w8/4AsDP///Hz9WJQI///8fP5olAj8AAEA/iwwDPwAAUD/KDQM/AABgP7coAj8AAGA/AAAAPQAAAD8AAIA9AAAAPw5O/DzwR+w9InzsOfBH7D0AAMA9AAAAPwgnfj3wR+w999gBPfhH7D2FE7898EfsPXzsgD34R+w9AAAgPgAAAD+EE/898EfsPX7swD3wR+w9AABAPgAAAD/DiR8+8EfsPT52AD74R+w9AABgPgAAAD/CiT8+8EfsPT52ID7wR+w9wolfPvBH7D0+dkA++EfsPQAAkD4AAAA/wYl/PvBH7D09dmA+8EfsPQAAoD4AAAA/4cSPPvBH7D0fO4A+8EfsPQAAsD4AAAA/4cSfPvBH7D0fO5A+8EfsPeHErz7wR+w9HzugPvBH7D0AANA+AAAAP+LEvz7wR+w9HjuwPvhH7D0AAOA+AAAAP+HEzz7wR+w9HzvAPvBH7D0AAPA+AAAAP+DE3z7wR+w9HjvQPvBH7D3hxO8+8EfsPR474D7wR+w9AAAIPwAAAD/ixP8+6EfsPSA78D7wR+w9AAAQPwAAAD9x4gc/6EfsPY8dAD/wR+w9AAAYPwAAAD9w4g8/8EfsPZAdCD/wR+w9cOIXP/BH7D2PHRA/8EfsPQAAKD8AAAA/cOIfP/BH7D2QHRg/8EfsPQAAMD8AAAA/ceInP/BH7D2QHSA/8EfsPQAAOD8AAAA/ceIvP/BH7D2QHSg/8EfsPXDiNz/wR+w9kB0wP/hH7D0AAEg/AAAAP3HiPz/wR+w9jx04P/BH7D0AAFA/AAAAP3HiRz/wR+w9kB1AP/BH7D0AAFg/AAAAP3LiTz/wR+w9kB1IP/BH7D1x4lc/8EfsPY8dUD/wR+w9AABoPwAAAD9x4l8/8EfsPZAdWD/4R+w9AABwPwAAAD9w4mc/6EfsPY4dYD/4R+w9AAB4PwAAAD9x4m8/8EfsPY8daD/4R+w9cOJ/P+hH7D1y4nc/8EfsPY4deD/4R+w9jx1wP/hH7D1NnkU+dsMcPzU+Kz67SSA/TZ5FPnbDHD81Pis+u0kgP+wfFD78ByU/AgCAPj7cGT9kQSs+7EogPwIAgD4/3Bk/oeGOPtqXGj99oEU+ysQcP989Yj5CmRo/oeGOPtqXGj/cMJ0+d8McPwIAgD6u3Rk/EuGOPkKZGj/nYKo+vEkgPwTwtT78ByU/wi+dPsrEHD+HbL8+js8qP09fqj7uSiA/h2y/Po7PKj8PecY+kmcxP/7ttT4ACSU/D3nGPpJnMT9K0Mo+MI84PyRqvz5a0Co/StDKPjCPOD9qdsY+H2gxP3rNyj54jzg/ecXKPkSQOD/gbsY+rmkxP1xjvz6e0io/OOi1PuILJT+Vi8E+K3s5PwW+vT54NjM/CpG3PpJvLT/gIKU+ejckP8Zaqj5STiA/FZOZPvsgIT+jLJ0+jsgcP60JjT4zOh8/et+OPkKdGj8CAIA+wuEZP7TsZT4yOh8/D0FiPkKdGj/g2Uw+/CAhP72mRT6PyBw/R741Pnk3JD92Sis+UE4gPzN9IT5LXyg/590QPpFvLT/6IxQ+AAklP0g5AT6e0io/9YMEPnY2Mz+1KwE+WtAqP/EmAT6Ozyo/qdH5PSt7OT98ROY9rmkxPxbq1D1DkDg/VCbmPR5oMT8QytQ9d484P70b5j2SZzE/0r7UPTCPOD/SvtQ9MI84P4H8Sz+VvQM/fwM0P5W9Az+j3R0/HeoMP+l8KD+iPAc/HeoMP6PdHT+VvQM/fgM0P6I8Bz/pfCg/lb0DP4L8Sz8d6gw/XSJiP6I8Bz8Xg1c/fwM0P2tCfD+j3R0/4xVzP+l8KD9ew3g/gfxLP2tCfD9dImI/4xVzPxeDVz9ew3g/a0J8P4L8Sz/jFXM/XSJiP17DeD8Xg1c/XSJiPx3qDD8Xg1c/ojwHP+MVcz+j3R0/a0J8P34DND9ew3g/6XwoPwIAgD4+3Bk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"), 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EQARvAT4EQAQ+BEEEbwEiBHABbwFwAT4EIgSiAp4CIgSeAnABogJdAZ4CogIcBF0BQQQ+BJoCQQSaAtAA0ACaAj8EPgScApoCPgRwAZwCmgI9BD8EmgKcAj0EPwQ9BNQAPwTUAJgCcAElBJwCcAGeAiUEnAI8BD0EnAIlBDwEPQSdAtQAPQQ8BJ0CmALUAPEHmALxB9MH1ACdAvIH1ADyB/EHPATzB50C0wfxB/QH0wf0B/EE8QT0B3IB8Qf1B/QH8QfyB/UH9AebAnIB9Af1B5sCcgGbAjoEcgE6BDsEOwQ6BJkCOgRaAZkCOgQ5BFoBmwI5BDoEOQSnAloB9Qc4BJsCmwI4BDkEOQQ2BKcCOAQ2BDkENgTVAKcC9QdxATgE8gdxAfUHOASmAjYEcQGmAjgENgQ1BNUApgI1BDYENATVADUENAQyBNUA8gf2B3EBnQL2B/IHcQE3BKYC9gc3BHEBnQLzB/YHNwT3B6YCpgL3BzUE9gf4BzcE8wf4B/YHNwRZAfcH+AdZATcEYQI1BPcHYQI0BDUE+Qf3B1kB+QdhAvcH+Af6B1kB+wf5B1kB+wdZAfoH1gD6B/gH8wfWAPgHYwL7B/oHpQLWAPMHPASlAvMHJQSlAjwE1gAmBPoHYwL6ByYEpQIkBNYAJAQmBNYAJQQjBKUCIwQkBKUCngIjBCUEngJdASMEIwRnAiQEXQFnAiMEJAT8ByYEZwL8ByQEXQEaBGcC/QcmBPwH/QdjAiYEHAQaBF0BZwJlAvwHGgRlAmcC2AD9B/wH2AD8B2UCHAQZBBoEHQQZBBwEGgQYBGUCGQQYBBoEEwTYAGUCEwRlAhgEHQSkAhkE2gCkAh0EGQRmAhgEpAJmAhkEEgQTBBgEEgQYBGYC2gAbBKQC7gcbBNoA7gftBxsEGwT+B6QCpAL+B2YC7QfcABsEGwTcAP4H7QfsB9wAXAFmAv4HXAESBGYC/wf+B9wA/wdcAf4HAAjcAOwHAAj/B9wAaAIACOwH3QAACGgCFgTdAGgCAQj/BwAI3QABCAAIAghcAf8HAQgCCP8HAggUBFwBFAQSBFwBAwjdABYEXAcDCBYEFwQDCFwHAwgVBN0AFQQBCN0AFwRbAQMIWwEVBAMIWwdbARcEWwcPBFsBDwQECFsBWwEECBUEDwSeBwQIFQQFCAEIBAgFCBUEBQgCCAEIngcGCAQIBAgGCAUIngefBwYIBQgHCAIIBggHCAUIBwgUBAIInwdaAgYIBghaAgcInwcNBFoCBwgICBQEWgIICAcIDQQRBFoCWgIRBAgIDQShBxEECAgJCBQEFAQJCBIECQgTBBIECAgKCAkIEQQKCAgICQgLCBMECggLCAkICwjYABMEEQTbAAoIoQfbABEECggMCAsI2wAMCAoICwhiAtgADAhiAgsIYgL9B9gAoQcNCNsAoAcNCKEHoAcMBA0IDQhkAtsA2wBkAgwIDAQOCA0IDQgOCGQCDARZAg4ICwRZAgwEDAgPCGICZAIPCAwIYgInBP0HDwgnBGICJwRjAv0HZAIoBA8IDggoBGQCDwgQCCcEKAQQCA8IJwRYAWMCEAhYAScEWAH7B2MCDggRCCgEWQIRCA4IKAQpBBAIEQgpBCgEEAgqBFgBKQQqBBAIWAESCPsHKgQSCFgBEgj5B/sHEggTCPkHEwhhAvkHKgQUCBIIFAgTCBIIKQQVCCoEFQgUCCoEFggVCCkEEQgWCCkEEwhXAWECVwE0BGECFAgXCBMIFwhXARMIFQgYCBQIGAgXCBQIFghUARUIVAEYCBUIVwEzBDQEMwQyBDQEMwTXADIEKwQzBFcBFwgrBFcBGQjXADMEKwQZCDMEGQgaCNcAYAIrBBcIGAhgAhcIGwgZCCsEYAIbCCsEMQQaCBkIGwgxBBkIMQRfAhoIHAhgAhgIVAEcCBgIHQgbCGACHAgdCGACLAQxBBsIHQgsBBsIHghfAjEELAQeCDEEHggfCF8CXgIfCB4IXgIwBB8IIAgeCCwEIAheAh4ILgQsBB0ILgQgCCwEIQguBB0IIQgdCBwIIggwBF4CIggjCDAEJAgjCCIIJAhWASMIJQgkCCIIVQEiCF4CJQgiCFUBVQFeAiAI2QAlCFUBJghVASAI2QBVASYIJgggCC4EJwjZACYIKAgmCC4EJwgmCCgIKAguBCEIKQgnCCgIKQgoCF0CXQIoCCEIXAIpCF0CXQIhCCoIKgghCBwIKggcCFQBXAJdAisIKwhdAioILAhcAisILQQqCFQBKwgqCC0ELQRUARYILAgrCC8ELwQrCC0EGQAsCC8EWwItBBYILwQtBFsCWwIWCBEIWQJbAhEILQgvBFsCLQhbAlkCGQAvBC0ICwQtCFkCpAcZAC0IpActCAsEAgUDBQQFBAUDBQUFBAUFBYwBAgWoAgMF6ACoAgIFjAEFBY0BjAGNAakCqQKNAQYFqQIGBSEAjQGOAQYFjQGqAo4BBQWqAo0BqgIHBY4BBQWrAqoCAwWrAgUFqgKSAQcFqwKSAaoCkgHsAAcFAwUIBasCqAIIBQMFqwIJBZIBCAUJBasCkgG2AuwACQW2ApIBtgK3AuwAtgK4ArcCuAIKBbcCCQXrALYC6wC4ArYCCAULBQkFCwXrAAkFrQILBQgFqAKtAggFuAK6AgoFugK7AgoF6wC5ArgCuQK6ArgCCwUMBesADAW5AusArQKyAgsFsgIMBQsFugKXAbsCuQINBboCDQWXAboClwEgALsCDgUNBbkCDAUOBbkCDQUPBZcBsgIQBQwFEAUOBQwFDgURBQ0FEQUPBQ0FEAUSBQ4FEgURBQ4FDwXGApcBlwHGAiAAEQUTBQ8FDwWZAcYCEwWZAQ8FvQITBREFEgW9AhEFEwUUBZkBvQLCAhMFwgIUBRMFlQHCAr0CvAK9AhIFvAKVAb0CkwG8AhIFkwESBRAFlAGVAbwCtQK8ApMBtQKUAbwC7QCTARAF7QAQBbICswK1ApMBswKTAe0AtAKUAbUCkAG1ArMCkAG0ArUC6QDtALIC6gC0ApABFQXqAJAB6gCRAbQCFQWQAbECsQKQAbMCFgUVBbEC6QCyAq0CsAKzAu0AsALtAOkAsQKzArACFgWxAq8CrwKxArACHwAWBa8CHwCvAq4CrwKwAo8BrgKvAo8BjwGwAukArgKPAawCjwHpAIsBrAKPAYsBiwHpAK0CrAKLAegAiwGtAqgC6ACLAagCwgIXBRQF7gAXBcIClQHuAMICFwUYBRQFvwLuAJUBlAG/ApUB7gCYARcFvgK/ApQBtAK+ApQBkQG+ArQCkQEZBb4CGQXAAr4CvgLAAr8CGQUaBcACvwLDAu4AwALDAr8CwwKYAe4AGgWWAcACwAKWAcMCGgXBApYBwwLFApgBlgHFAsMCwQLEApYBlgHEAsUCwQIiAMQCxQKaAZgBxALJAsUCxQLJApoBIgDLAsQCxALLAskCIgAbBcsC8QIbBSIAmAGaAccCmAHHAhcFFwXHAhgF8QKmARsFHAWmAfECHAUdBaYBHgUdBRwFpgEfBRsFHgWpAR0FpwGpAR4FpwHvAKkBHQUgBaYBpgEgBR8FqQHwAh0FHQXwAiAF7wAhBakBqQEhBfAC7wAiBSEFIgWoASEFIgUjBagBIwXvAqgBIwUlAO8CqAHvAiQFIQWoASUFqAEkBSUFIQUlBfACJQUkBSYF8AIlBfICJQUmBfIC8ALyAiAF8gImBSYAIAXyAqUB8gImAKUBIAWlAR8FpQEmANECHwWlAc8CpQHRAs8CJgDTAtECJgAnBdMCJwXWAtMCJwUoBdYCHwXPAqEBGwUfBaEBGwWhAcsCKAWrAdYCKAXXAqsB1wLYAqsB1wIoANgCqwHYAtkCqwHZAvQA1gKrAfQA9ADZAvUA1gL0ANUC0wLWAtUC9AD1ANoC1QL0ANoC2gL1ACkF0wLVAqoB0QLTAqoB1QLaAtQCqgHVAtQC2gIpBa0B1ALaAq0BrQEpBSoF0QKqAdACzwLRAtACqgHUAtIC0AKqAdICzwLQAqQBoQHPAqQB0ALSAvIApAHQAvIA0gLUAtsC1AKtAdsC8gDSAqwB0gLbAqwBKgDbAq0BJwDbAioAJwCsAdsCKgCtASkALgCsAScAKQCtAdwCrQEqBdwCKQDcAiwA3AIqBa4BLADcAvYA3AKuAfYALAD2AC0A9gCuAd0CLQD2AN8CLQDfAi8A9gDdAuAC3wL2AOAC4ALdAisA4AIrAOEC4gLgAuEC3wLgAuIC4gLhAisFLwDfAvMA8wDfAuICLwDzADAA5ALiAisF8wDiAuQC5AIrBeMCMADzAN4CMADeAi4ALgDeAqwB5QLkAuMC5QLjAiMAowHzAOQCowHkAuUCLAXeAvMALAXzAKMBLQWsAd4CLQXeAiwF8gCsAS0FogHyAC0FpAHyAKIBzQItBSwFogEtBc0CLgUsBaMBzQIsBS4FLgWjAS8FLwWjAeUCzAKkAaIBoQGkAcwCywKhAcwCywLMAskCzAKiAfAAyQLMAvAA8ACiAc0CyQLwAJoB8ADNAsoCmgHwAMoCygLNAi4FmgHKAscCygIuBTAFxwLKAjAFMAUuBS8FxwIwBRgFMAUvBcgCGAUwBcgCyAIvBc4CLwXlAs4CzgLlAiMAGAXIAjEFFAUYBTEFFAUxBZkBMQXIApwByALOApwBmQExBZsBMQWcAZsBmQGbAcYCzgIjADIFnAHOAjIFMgUjAOcCmwGcAeYCnAEyBeYCxgKbATMFmwHmAjMFxgIzBSAAMgXnAqAB5gIyBaABoAHnAjQFMwXmAukC5gKgAekCIAAzBZ0BMwXpAp0BIACdAewCoAE0BTUF6QKgATUFNQU0BegCnQHpAusC6QI1BesC7AKdATYFnQHrAjYF7AI2BTcFNQXoAuoC6wI1BeoC6gLoAiQA6gIkADgF6wLqAu0C7QLqAjgFNgXrAu0C7QI4BZ8BNwU2BZ4BNgXtAp4BngHtAp8BNwWeAe4CngGfATkF7gKeATkF7gI5BfEA9wAuCC8ILwguCDoFLwg6BfQC9wDzAi4IMAjzAvcA9AI6BTsF9AI7BTEIMQg7BTIIMQgyCDoAOwUzCDIIOwU0CDMIOgU0CDsFNAg1CDMIOgU2CDQILgg2CDoFNAg3CDUINgg3CDQINwivATUILgj1AjYI8wL1Ai4INgg+BTcI9QI+BTYINwg4CK8BPgU4CDcIOAg5CK8BOAhFBTkIRQVGBTkIPgX4AjgI+AJFBTgI9QI6CD4FOgj4Aj4FOwg6CPUC8wI7CPUCRQU8CEYFPAg9CEYF+AJHBUUFRwU8CEUFOgg+CPgCPghHBfgCOwhCBToIQgU+CDoIPAg/CD0IRwX5AjwI+QI/CDwIPwgxAD0IQAj5AkcFPghACEcF+QJIBT8IQgX4AD4I+ABACD4IQAhBCPkCQQhIBfkC+AD7AkAI+wJBCEAISAVCCD8IPwhCCDEAQQj6AEgFSAVLBUII+gBLBUgF/AL6AEEI+wL8AkEI+gBNBUsF/AJDCPoAQwhNBfoARAhDCPwCRQj8AvsCRQhECPwCRghFCPsCRgj7AvgARwhECEUISAhFCEYISAhHCEUISQhGCPgASQj4AEIFSghICEYISghGCEkISwhHCEgITAhICEoITAhLCEgIPQVJCEIFPQVCBTsITQhKCEkITQhJCD0FTghMCEoITghKCE0ITwg9BTsITwg7CPMCMAhPCPMCUAhPCDAIUQg9BU8IUAhRCE8IUQhNCD0FUghRCFAIUwhNCFEIUghTCFEIUwhOCE0IVAhTCFIIVAhVCFMIVQhOCFMIVghVCFQIVQhXCE4IVwhMCE4IVghYCFUIWAhXCFUIWQhYCFYIVwhaCEwIWghLCEwIWAhbCFcIWwhaCFcIWQhcCFgIXAhbCFgIPAVcCFkIPAVdCFwIXghdCDwFXAhfCFsIXQhfCFwIWwhgCFoIXwhgCFsIYAhhCFoIWghhCEsIXghiCF0I+QBiCF4IXQhjCF8IYghjCF0IXwhkCGAIYwhkCF8IYAhlCGEIZAhlCGAI+QD2AmIIZgj2AvkAYghnCGMI9gJnCGIIYwhoCGQIZwhoCGMIZAhpCGUIaAhpCGQIZghqCPYCawhqCGYI9gJsCGcIaghsCPYCZwhtCGgIbAhtCGcIaAhuCGkIbQhuCGgIawg/BWoIaghBBWwIPwVBBWoIQAU/BWsIQQVvCGwIbAhvCG0IbQhwCG4IbwhwCG0IcAhxCG4IQQVyCG8IbwhzCHAIcghzCG8Icwh0CHAIcAh0CHEIcghJBXMIdQhyCEEFPwV1CEEFdQhDBXIIQwVJBXIIdgh1CD8FQAV2CD8FRAVDBXUIdghEBXUISQV3CHMIcwh3CHQIQwV4CEkFRAV5CEMFeQh4CEMFSQV6CHcIeAh6CEkFdwh7CHQIeghPBXcIdwhPBXsIdAh7CHwIdAh8CHEITwV9CHsIewh+CHwIewh9CH4IcQh8CH8IfAh+CIAIfAiACH8IcQh/CIEIbghxCIEIbgiBCGkIaQiBCIIIaQiCCGUIgQh/CIMIgQiDCIIIfwiACIQIfwiECIMIZQiCCIUIZQiFCGEIggiDCIYIggiGCIUIgwiECE4FgwhOBYYIYQiFCIcIYQiHCEsISwiHCEcIhQiICIcIhQiGCIgIhwiJCEcIhwiICIkIRwiJCEQIhgiKCIgIhghOBYoIiAiLCIkIiAiKCIsIiQhMBUQIiQiLCEwFRAhMBUMITAWMCEMIQwiMCE0FiwgFA0wFTAUFA4wIigiNCIsIiwiNCAUDigiOCI0ITgWOCIoIjQhRBQUDTgWPCI4IhAiPCE4FjgiQCI0IjQiQCFEFjwiRCI4IjgiRCJAIhAiSCI8IgAiSCIQIjwiTCJEIkgiTCI8IgAiUCJIIfgiUCIAIkgiVCJMIlAiVCJIIfgiWCJQIfQiWCH4IlAiXCJUIlgiXCJQIlQiYCJMIlwiZCJUIlQiZCJgIkwiYCJoIkwiaCJEIkQiaCJsIkQibCJAImAicCJoImQidCJgImAidCJwIkAibCJ4IkAieCFEFmgifCJsImgicCJ8ImwigCJ4ImwifCKAIUQWeCFIFngigCBsDnggbA1IFUQVSBaEIBQNRBaEIBQOhCIwIjAihCLEBjAixAU0FoQhSBaIIoQiiCLEBUgUbA6MIUgWjCKIITQWxAaQITQWkCEsFsQGiCBwDsQEcA6QIogijCFQFoghUBRwDSwWkCFMFSwVTBUIIpAgcA6UIpAilCFMFHANUBaYIHAOmCKUIQghTBVUFQghVBTEAUwWlCKcIUwWnCFUFpQimCKgIpQioCKcIpggyAKgIqAgyAKkIpgiqCDIAVAWqCKYIqgirCDIAqAipCFcFpwioCFcFVwWpCKwIpwhXBa0IVQWnCK0IVwWsCK4IrQhXBa4IrgisCK8IVQWtCLAIMQBVBbAIMQCwCLEIsAitCLIIrQiuCLIIsQiwCLMIsAiyCLMIsQizCFYFrgivCFgFsgiuCFgFWAWvCDMAWAUzALQIsghYBbUItQhYBbQIswiyCLUItQi0CLYIVgWzCB0Dswi1CB0DHQO1CLYIVgUdA7cIHQO2CLgItwgdA7gItwi4CL8BVAW5CKoIowi5CFQFuQhZBaoIqghZBasIWQW6CKsIowgAAbkIGwMAAaMIuQi7CFkFAAG7CLkIWQW8CLoIuwi8CFkFvAi9CLoIGwO+CAABoAi+CBsDAAFcBbsIvghcBQABuwi+AbwIXAW+AbsIvAi/CL0IvgG/CLwIvwg1AL0IvwjACDUAWwXACL8IvgFbBb8IWwUZA8AIXAXBCL4BwQhbBb4BwggZA1sFwQjCCFsFwgjDCBkDxAjBCFwFvgjECFwFXQXCCMEIxAhdBcEIGAPDCMIIXQUYA8IIGAMBAcMIWgXECL4IoAhaBb4InwhaBaAIWgVeBcQIXgVdBcQInwjFCFoFxQheBVoFnAjFCJ8IXgXGCF0FxggYA10FxQjHCF4FxwjGCF4FnAjICMUIyAjHCMUInQjICJwIyQgBARgDxgjJCBgDyQjKCAEBxwjLCMYIywjJCMYIzAjKCMkIywjMCMkIzAjNCMoIzgjLCMcIyAjOCMcIzwjMCMsIzgjPCMsI0AjNCMwIzwjQCMwI0AjRCM0I0gjOCMgInQjSCMgI0wjPCM4I0gjTCM4I1AjQCM8I0wjUCM8I1QjRCNAI1AjVCNAI1QjWCNEI1wjSCJ0ImQjXCJ0I2AjTCNII1wjYCNII2QjUCNMI2AjZCNMI2gjVCNQI2QjaCNQI2wjWCNUI2gjbCNUI2wjcCNYI3QjcCNsI3QjeCNwI3wjbCNoI3wjdCNsI4AjaCNkI4AjfCNoI4QjgCNkI4QjZCNgIXwXeCN0IXwVgBd4IYQXdCN8IYQVfBd0I4gjfCOAI4ghhBd8I4wjgCOEI4wjiCOAI5AhgBV8F5AjlCGAF5ghfBWEF5gjkCF8FAgFhBeIIAgHmCGEFFgPiCOMIFgMCAeIIYgXlCOQIYgUDAeUIFQPkCOYIFQNiBeQI5wjmCAIB5wgVA+YI6AgCARYD6AjnCAIB6QgDAWIF6QjqCAMB6whiBRUD6wjpCGIFEwMVA+cIEwPrCBUDZwXnCOgIZwUTA+cIEgPqCOkIEgPsCOoI7QjpCOsI7QgSA+kI7gjrCBMD7gjtCOsI7wgTA2cF7wjuCBMDYwXsCBIDYwVkBewIYwUQA2QFZQVjBRIDZQUSA+0IYwXwCBADZQXwCGMF8AjxCBADuwFlBe0IuwHtCO4IZQVoBfAIuwFoBWUF8AjyCPEIaAXyCPAI8ggEAfEIEQO7Ae4IEQPuCO8IuwEPA2gFEQMPA7sBaAXzCPIIDwPzCGgF8ghpBQQB8whpBfIIaQVqBQQBDwP0CPMI8wj1CGkF9Aj1CPMI9Qj2CGkFaQX2CGoF9Ai8AfUI9wj0CA8DEQP3CA8D9wj4CPQI+Ai8AfQI9Qj5CPYIvAH5CPUI+ghqBfYI+gj7CGoF/Aj2CPkI/Aj6CPYI/Qj7CPoI/QgNA/sI/gj6CPwI/gj9CPoI/wgNA/0I/wgACQ0DAQn9CP4IAQn/CP0IAgkACf8IAgkDCQAJBAn/CAEJBAkCCf8IbwUDCQIJbwUGAQMJbQUCCQQJbQVvBQIJBQkGAW8FBQkGCQYBBwlvBW0FBwkFCW8FcQUGCQUJcQUICQYJCQkICXEFCQk0AAgJcgUJCXEFCglxBQUJcgVxBQoJCgkFCQcJCwlyBQoJCwkKCQwJDAkKCQcJNgALCQwJDAkHCXAFcAUHCW0FNgAMCQ0JDQkMCXAFcAVtBb0BvQFtBQQJDQlwBQ4JDglwBb0BDwk2AA0JcwUNCQ4JDwkNCXMFvQEECRAJEAkECQEJDgm9AW4FbgW9ARAJcwUOCREJEQkOCW4FEAkBCRIJEgkBCf4IbgUQCRMJEwkQCRIJEQluBQsDCwNuBRMJEgn+CA4DDgP+CPwIEwkSCRQJFAkSCQ4DCwMTCRUJFQkTCRQJDgP8CBYJFgn8CPkIFAkOAxcJFwkOAxYJFQkUCRgJGAkUCRcJFgn5CBkJvAEZCfkIFwkWCRoJGgkWCRkJGAkXCRsJGwkXCRoJGgkZCRwJawUZCbwBawUcCRkJ+AhrBbwBDAMaCRwJDAMcCWsFGwkaCQwDbAVrBfgIbAUMA2sFHQkbCQwDHQkMA2wFHgkbCR0JHgkYCRsJHwlsBfgIHwn4CPcICgMdCWwFCgNsBR8JIAkeCR0JIAkdCQoDdAUYCR4JdAUVCRgJdgUeCSAJdgV0BR4JBQEVCXQFBQELAxUJIQl0BXYFIQkFAXQFIgkLAwUBIgkRCQsDewUFASEJewUiCQUBIwkRCSIJIwlzBREJtwEiCXsFtwEjCSIJCANzBSMJCAMPCXMFJAkjCbcBJAkIAyMJJQm3AXsFJgkkCbcBJgm3ASUJJQl7BScJJwl7BSEJKAkmCSUJKQklCScJKAklCSkJJwkhCSoJKgkhCXYFKQknCSsJKwknCSoJegUoCSkJBgMpCSsJegUpCQYDKgl2BSwJLAl2BSAJKwkqCXcFdwUqCSwJBgMrCXwFfAUrCXcFLAkgCS0JLQkgCQoDdwUsCS4JLgksCS0JfAV3BS8JLwl3BS4JLQkKAzAJMAkKAx8JLgktCTEJMQktCTAJLwkuCf8A/wAuCTEJMAkfCTIJMgkfCfcIMgn3CBEDMwkwCTIJMQkwCTMJugEyCREDMwkyCboBNAkxCTMJ/wAxCTQJNQkzCboBNAkzCTUJugERAzYJNgkRA+8INQm6AX8FfwW6ATYJuQE0CTUJNwk1CX8FuQE1CTcJNgnvCBQDFAPvCGcFfwU2CTgJOAk2CRQDNwl/BTkJOQl/BTgJFANnBToJOglnBegIOAkUAzsJOwkUAzoJOQk4CTwJPAk4CTsJOgnoCGYFZgXoCBYDOwk6CT0JPQk6CWYFPAk7CYAFgAU7CT0JZgUWAz4JPgkWA+MIPQlmBRcDFwNmBT4JgAU9CT8JPwk9CRcDPgnjCEAJQAnjCOEIFwM+CUEJQQk+CUAJPwkXA0IJQgkXA0EJQAnhCEMJQwnhCNgIQwnYCNcIRAlACUMJQQlACUQJRQlDCdcIRAlDCUUJRQnXCJkIlwhFCZkIRglFCZcIRglECUUJlghGCZcIGgNBCUQJGgNECUYJQglBCRoDRwlGCZYIRwkaA0YJfQhHCZYISAlCCRoDSAkaA0cJSQlHCX0ISQlICUcJTwVJCX0IUAVCCUgJUAU/CUIJSglICUkJSglQBUgJSwlJCU8FSwlKCUkJeghLCU8FTAk/CVAFTAmABT8JTQlQBUoJTQlMCVAFTglKCUsJTglNCUoJTwlLCXoITwlOCUsJeAhPCXoIUAmABUwJUAk8CYAFUQlMCU0JUQlQCUwJUglNCU4JUglRCU0JSgVOCU8JSgVSCU4JUwlPCXgIUwlKBU8JeQhTCXgIVAlSCUoFVQlRCVIJVAlVCVIJVQlWCVEJVglQCVEJVwlKBVMJVwlUCUoFiwVTCXkIiwVXCVMJWAmLBXkIWAl5CEQFWQlXCYsFsgFYCUQFsgFEBXYIWgmLBVgJWglZCYsFWwlYCbIBWwlaCVgJXAmyAXYIXAl2CEAFXQlbCbIBXQmyAVwJXglaCVsJXwlbCV0JXwleCVsJQAWVBVwJQAX3ApUFXAmUBV0JXAmVBZQFXQlgCV8JXQmUBWAJ9wJhCZUF9wJiCWEJlQVjCZQFlQVhCWMJlAVkCWAJlAVjCWQJYgmSBWEJYgn8AJIF/ABlCZIF/ACTBWUJkgVlCQQDYQmSBWYJkgUEA2YJYQlmCWMJZgkEA2cJYwlmCWgJZglnCWgJYwloCWQJaAlnCWkJaAlpCWoJZAloCWoJaglpCf0AZAlqCWsJYAlkCWsJagn9AJAFawlqCZAFkAX9AGwJYAlrCZEFXwlgCZEFawmQBQMDkQVrCQMDkAVsCW0JAwOQBW0JbQlsCW4JXwmRBW8JbwleCV8JkQUDA7QBbwmRBbQBAwNtCXAJtAEDA3AJbQluCXEJcAltCXEJcQluCTkAcQk5AHIJtQFxCXIJcAlxCbUBtQFyCQEDtAFwCY8FjwVwCbUBcwm1AQEDjwW1AXMJcwkBA3QJdQm0AY8Fbwm0AXUJdgmPBXMJdQmPBXYJdwlzCXQJdglzCXcJdwl0CXgJdQl5CW8Jbwl5CV4Jdgl6CXUJdQl6CXkJdwl7CXYJdgl7CXoJeAmOBXcJdwmOBXsJeAl8CY4FeQl9CV4JXgl9CVoJfQlZCVoJeQmMBX0JegmMBXkJfQn6AlkJjAX6An0Jegn7AIwFewn7AHoJjAWKBfoC+wCKBYwF+gKwAVkJWQmwAVcJsAFUCVcJ+gJ+CbABigV+CfoCsAF/CVQJfgl/CbABfwlVCVQJfwmACVUJgAlWCVUJfgmBCX8JgQmACX8JigWHBX4JhwWBCX4JiQWHBYoF+wCJBYoFhwWGBYEJjQWJBfsAewmNBfsAjgWNBXsJiQX+AocF/gKGBYcFjQWCCYkFggn+AokFjgWDCY0FgwmCCY0FfAmDCY4FfAmECYMJhAmIBYMJgwmIBYIJhAn/AogFggmFCf4CiAWFCYIJ/wKGCYgFiAWGCYUJ/wK2AYYJhQmFBf4C/gKFBYYFhgmHCYUJhQmHCYUFtgGEBYYJhgmEBYcJtgGICYQFiAmJCYQFiAmKCYkJhAWLCYcJhAWJCYsJhwmzAYUFhwmLCbMBhQWzAf0ChQX9AoYFigkAA4kJigmMCQADiQmNCYsJiQkAA40JiwmDBbMBiwmNCYMFswGOCf0CswGDBY4JjAmPCQADjAk3AI8JAAOQCY0JAAOPCZAJjQkCA4MFjQmQCQIDgwWCBY4JgwUCA4IFjgmCBZEJjwmSCZAJkAl9BQIDkAmSCX0FAgN+BYIFAgN9BX4FggV+BbkBggW5AZEJfgU0CbkBfgX/ADQJfQX/AH4FfQUvCf8AkgkvCX0FkQm5ATcJkgl8BS8Jkwl8BZIJjwmTCZIJkwkGA3wFNwCTCY8JlAkGA5MJNwCUCZMJlAl6BQYDlQmUCTcAlQmWCZQJlgl6BZQJlwmWCZUJlgl5BXoFlwmYCZYJmAl5BZYJmQmYCZcJeQUoCXoFmQl4BZgJuAF4BZkJuAEHA3gFeAWaCZgJmAmaCXkFBwObCXgFeAWbCZoJBwOcCZsJeQWdCSgJmgmdCXkFnQkmCSgJmwmeCZoJmgmeCZ0JnAmfCZsJmwmfCZ4JnAmgCZ8JnQmhCSYJngmhCZ0JoQkkCSYJnwmiCZ4JngmiCaEJoAmjCZ8JnwmjCaIJoAmkCaMJoQmlCSQJogmlCaEJpQkIAyQJowmmCaIJogmmCaUJpAmnCaMJowmnCaYJpAmoCacJpQmpCQgDpgmpCaUJqQkPCQgDpwmqCaYJpgmqCakJqAmrCacJpwmrCaoJqAkJA6sJqQmsCQ8JqgmsCakJrAk2AA8JrAmtCTYAqgmuCawJrgmtCawJqwmuCaoJrgl1Ba0JCQOvCasJqwmvCa4Jrwl1Ba4JCQOwCa8JrwmxCXUFsAmxCa8JsAk4ALEJkQk3CYEFgQU3CTkJ/gCRCYEFjgmRCf4A/QKOCf4AgQU5CbIJsgk5CTwJsgk8CVAJVgmyCVAJswmBBbIJswmyCVYJ/gCBBbMJgAmzCVYJ/QL+ALQJtAn+ALMJtAmzCYAJhgX9ArQJgQm0CYAJhgW0CYEJtQmWBbYJtQkHAZYFmQW1CbYJBwG3CZYFBwG4CbcJmQW2CR8DuQmZBR8DtgmWBboJuQkfA7sJvAm5CbsJHwO2CcABtgm6CcABuwkfA70JHwPAAb0JvAm7Cb4Jvwm8Cb4Juwm9CcAJvgm7CcAJvwm+CcEJwgm/CcEJvgnACcMJwQm+CcMJwgnBCcQJxQnCCcQJwQnDCcYJxAnBCcYJxQnECccJyAnFCccJxAnGCckJxwnECckJyAnHCcoJIAPICcoJxwnJCcsJygnHCcsJIAPKCcwJzQkgA8wJygnLCc4JzAnKCc4JzQnMCc8JCQHNCc8JzAnOCdAJzwnMCdAJCQHPCZoF0QkJAZoFzwnQCdIJmgXPCdIJ0QmaBdMJmgXSCdQJ0wmaBdQJnAXRCdMJ1AnSCdUJ0gnQCdYJ0gnWCdUJ0AnXCdYJ0AnOCdcJzgnYCdcJzgnLCdgJ1gnXCdkJ1QnWCdoJ1gnZCdoJ1wnbCdkJ1wnYCdsJywncCdgJywnJCdwJ2AndCdsJ2AncCd0JyQneCdwJyQnGCd4J3AnfCd0J3AneCd8JxgngCd4JxgnDCeAJ3gnhCd8J3gngCeEJwwniCeAJwwnACeIJ4AnjCeEJ4AniCeMJwAnkCeIJwAm9CeQJ4gkIAeMJ4gnkCQgBvQm3BeQJvQnAAbcF5AnlCQgB5Am3BeUJwAHmCbcFwAG6CeYJtwW4BeUJtwXmCbgFCAHlCecJ5Qm4BcQB5QnEAecJCAHnCSID4wkIASID4wkiA+gJ4QnjCegJIgPnCekJ4QnoCeoJ3wnhCeoJ6AkiA7UFIgPpCbUF6gnoCesJ6Am1BesJ3wnqCewJ3QnfCewJ6gnrCe0J7AnqCe0J3QnsCe4J2wndCe4J7AntCe8J7gnsCe8J2wnuCfAJ2QnbCfAJ7gnvCfEJ8AnuCfEJ2QnwCfIJ2gnZCfIJ8AnxCfMJ8gnwCfMJ8QnvCfQJ2gnyCfUJ8wnxCb4F8Qn0Cb4F8gnzCfYJ9QnyCfYJ8wm+BfcJ9gnzCfcJtgXaCfUJ1QnaCbYF9Qn2CfgJ+QnVCbYF1AnVCfkJtgX1CfoJ+gn1CfgJ+Qm2BfsJ+wm2BfoJnQXUCfkJ0wnUCZ0FngX5CfsJnQX5CZ4FmwXTCZ0FnAXTCZsF/AmdBZ4FmwWdBfwJngX7CawF/QmcBZsF/AmeBf4J/gmeBawF/wmbBfwJ/QmbBf8JwgH8Cf4J/wn8CcIBnAX9CSQDnAUkA8MBAAr9Cf8JAQr/CcIBAAr/CQEKwwEkAwIKwwECCgMK/QmhBSQD/QkACqEFJAMECgIKJAOhBQQKAwoCCp8FAwqfBQsBCwGfBSYDCwEmA6AFnwUFCiYDAgoGCp8FnwUGCgUKAgoECgYKBgoHCgUKBgoICgcKBAoICgYKCAoJCgcKBAoKCggKoQUKCgQKCAoLCgkKCgoLCggKCwoMAQkKoQUMCgoKAAoMCqEFCgoNCgsKDAoNCgoKCwqiBQwBDQqiBQsKogUOCgwBAAoPCgwKDwoACgEKDAqjBQ0KDwqjBQwKDQolA6IFowUlAw0KogUQCg4KJQMQCqIFEAoRCg4KEAoSChEKEgo+ABEKEgoTCj4AFAoSChAKJQMUChAKxwETChIKFArHARIKxwEnAxMKxQEUCiUDowXFASUDpAXHARQKxQGkBRQKFQonA8cBpAUVCscBFQoWCicDFwrFAaMFDwoXCqMFGAqkBcUBFwoYCsUBGQoVCqQFGAoZCqQFGgoWChUKGQoaChUKGgobChYKFwoPChwKDwoBChwKGAoXCh0KFwocCh0KGQoYCh4KGAodCh4KGgoZCh8KGQoeCh8KGwoaCigDGgofCigDGwooAyAKIAooAyEKIAohCiIKKAMfCqcFKAOnBSEKHwoeCqgFHwqoBacFHgqlBagFHgodCqUFIgohCqYFIgqmBSkDIQqnBSMKIQojCqYFpwWoBcYBpwXGASMKqAWpBcYBqAWlBakFKQOmBSQKKQMkCg0BpgUjCiUKpgUlCiQKIwrGAaoFIwqqBSUKxgEjA6oFxgGpBSMDDQEkCq4FDQGuBSYKJAolCicKJAonCq4FJQqqBSoDJQoqAycKqgWtBSoDqgUjA60FJgquBSgKJgooCikKrgUnCioKrgUqCigKJwoqA68FJwqvBSoKKgMrCq8FKgOtBSsKKQooCrAFKQqwBSwKKAoqCi0KKAotCrAFKgqvBbEFKgqxBS0KrwWyBbEFrwUrCrIFLAqwBSsDLAorA0AAsAUtCi4KsAUuCisDLQqxBckBLQrJAS4KsQUvCskBsQWyBS8KLgrJAewFKwMuCjAKLgrsBTAKyQHwBewFyQEvCvAFKwMwCjEKQAArAzEKMArsBeoFQAAxCjIKMwpAADIKMQowCusFMArqBesFMgoxCj4DMQrrBT4DMwoyCjQKNQozCjQKMgo+A+0FNAoyCu0FNQo0CjYKNwo1CjYKNArtBe4FNgo0Cu4FNwo2Cu8FFgE3Cu8FFgHvBUED7wU2CjgKNgruBTgKQQPvBTkK7wU4CjkKQQM5CjoKOgo5CjsKOgo7CjwKOQo4Cj0KOQo9CjsKOAruBT4KOAo+Cj0K7gU/Cj4K7gXtBT8KPAo7CkAKPApACkEKOwo9CkIKOwpCCkAKPQo+CkMKPQpDCkIKPgpECkMKPgo/CkQKQQpACkUKQQpFCkYKQApCCkcKQApHCkUKQgpDCkgKQgpICkcKQwpJCkgKQwpECkkKRgpFCkoKRgpKCkADRQpHCksKRQpLCkoKRwpICkwKRwpMCksKSAo/A0wKSApJCj8DQANKCk0KQANNCk4KTgpNCk8KTgpPCkIATQrmBU8KSgpQCk0KTQpQCuYFSgpLClAKUApRCuYFSwpSClAKUApSClEKSwpMClIKUgpBAFEKTApTClIKUgpTCkEATAo/A1MKUwpUCkEAPwPlBVMKUwrlBVQKPwNVCuUFSQpVCj8DQQBUClYKQQBWClcKSQrVAVUKRArVAUkKVQpYCuUFRApZCtUBPwpZCkQK1QFaClUKVQpaClgKWQrpBdUB1QHpBVoKPwpbClkK7QVbCj8K7QU+A1sKWwpcClkKWQpcCukFPgNdClsKWwpdClwKPgPrBV0K6wVeCl0K6wXqBV4KXQpfClwKXQpeCl8KXAroBekFXApfCugF6QXoBRUB6QUVAVoKXwo8A+gFXgpgCl8KXwpgCjwDXgphCmAK6gVhCl4KWgoVATsDWgo7A1gK6AXnBRUB6AU8A+cFFQFiCjsDFQHnBWIK6gUuA2EK7AUuA+oF7AXwBS4DLgNjCmEK8AVkCi4DLgNkCmMK8AVlCmQKLwplCvAFYQpjCmYKYQpmCmAKLwotA2UKsgUtAy8KZQpnCmQKsgVoCi0DKwpoCrIFLQNpCmUKZQppCmcKaApqCi0DLQNqCmkKKwoOAWgKrQUOASsKaAosA2oKDgEsA2gKrQVrCg4BIwNrCq0FDgFsCiwDawpsCg4BIwNtCmsKqQVtCiMDawpuCmwKbQpuCmsKqQUKAW0KpQUKAakFbQpvCm4KCgFvCm0KpQVwCgoBHQpwCqUFHQocCnAKcApxCgoBCgFxCm8KHApyCnAKcApyCnEKHAoBCnIKAQrCAXIKcgrCAasFcgqrBXEKwgH+CasFcQpzCm8KcQqrBXMKqwX+CXQKqwV0CnMK/gmsBXQKbwpzCnUKbwp1Cm4Kcwp0CnYKcwp2CnUKdAqsBXcKdAp3CnYKrAW0BXcKrAX7CbQF+wn6CbQFbgp1CngKbgp4CmwKdQp2CnkKdQp5CngKtAX6CXoK+gn4CXoKtAV6CrMFdwq0BbMFdgp3CnsKdgp7CnkKdwqzBXsKegr4CXwKswV6Cn0Kegp8Cn0KewqzBX4KswV9Cn4KeQp7Cn8Kewp+Cn8KeQp/CoAKeAp5CoAKfwp+CoEKeAqACoIKbAp4CoIKbAqCCiwDgAp/CsAFfwqBCsAFggqACoMKgArABYMKLAOCCoQKggqDCoQKLAOECmoKagqECsoBagrKAWkKhAqDCoUKhAqFCsoBgwrABfIFgwryBYUKwAWGCvIFwAWBCoYKaQrKAfEFaQrxBWcKygGFCocKygGHCvEFhQryBYgKhQqICocK8gUSAYgK8gWGChIBhwqICt4F8QWHCokKhwreBYkKiAqKCt4FiAoSAYoK8QWJCtEBZwrxBdEBiQreBYsKZwrRAYwKZApnCowKZAqMCmMK0QGJCjcDiQqLCjcDjArRAY0K0QE3A40KYwqMCo4KjAqNCo4KYwqOCmYK3gWPCosK3gWKCo8KiwqPCjYDZgqOCtIBjgqNCpAKjgqQCtIBjQrdBZAKjQo3A90FNwOLCpEKiwo2A5EKZgrSAZIKYApmCpIKYAqSCjwDPAOSCpMKPAOTCucFkgrSAZQKkgqUCpMK0gHgBZQK0gGQCuAF5wWTCpUK5wWVCmIKkwqUCpYKkwqWCpUKlArgBTgDlAo4A5YKkAqXCuAFkArdBZcK4AXfBTgD4AWXCt8FOAPfBZgKlgo4A5kKOAOYCpkK3wWaCpgKmQqYCpoKlwo5A98F3wU5A5oKlwqbCjkD3QWbCpcKlgqZCpwKlQqWCpwKmQqaCtMBnAqZCtMBOQOdCpoK0wGaCp0KmwqeCjkDOQOeCp0KlQqcCp8KYgqVCp8KnArTAaAKnwqcCqAK0wGdCqEKoArTAaEKngqiCp0KoQqdCqIKYgqfCqMKOwNiCqMKnwqgCqQKowqfCqQKoAqhCqUKpAqgCqUKoQqiCqYKpQqhCqYKpgqiCtwFpgrcBToDpwrcBaIKngqnCqIKpwoUAdwFqAqmCjoDpQqmCqgKqAo6A6kKqgqlCqgKpAqlCqoKqwqoCqkKqgqoCqsKqwqpCqwKrQqkCqoKowqkCq0KrgqqCqsKrQqqCq4KrwqrCqwKrgqrCq8KrwqsCrAK1AGjCq0KOwOjCtQBWAo7A9QB1AGtCj0DPQOtCq4KWArUAbEKsQrUAT0D5QVYCrEK5QWxClQKVAqxCuIFsQo9A+IFVAriBVYKPQOuCrIK4gU9A7IKsgquCq8KVgriBbMK4gWyCrMKsgqvCuEFswqyCuEF4QWvCrAK4QWwChcBtArhBRcBswrhBbQKtAoXAbUKVgqzCrYKtgqzCrQKVwpWCrYKVwq2CuQFtgq0CuMF4wW0CrUK5AW2CuMF4wW1CrcK5AXjBbgKuArjBbcKuAq3CkMAlgUeA7oJlgW3CR4DugkeA5cFugmXBeYJtwm5Ch4DHgO6CpcFHgO5CroK5gmXBSED5gkhA7gFlwW6CrsKlwW7CiEDuQq8CroKugq8CsEBugrBAbsKuQq9CrwKuwrBAb4KmAW9CrkKtwmYBbkKuAmYBbcJmAW/Cr0KuAnACpgFwAq/CpgFwAo/AL8Kuwq+CrkFIQO7CrkFuQW+CroFIQO5BcEKuAUhA8EKuAXBCsQBuQW6BcIKwQq5BcIKwgq6BcMKxAHBCsQKwQrCCsQKwgrDCsUKxArCCsUKxQrDCjwAxAHECrsF5wnEAbsF5wm7BekJuwXECrwFxArFCrwF6Qm7BQ8BuwW8BQ8B6QkPAcYKtQXpCcYKvAXFCscKxQo8AMcKDwG8BcgKvAXHCsgKxgoPAcgBDwHICsgBtQXGCr0F6wm1Bb0FxgrIAckKvQXGCskK6wm9BcoK7QnrCcoKvQXJCr8Fygq9Bb8F7QnKCssK7wntCcsK7wnLCvQJywrKCswKygq/BcwK9AnLCs0KywrMCs0K9AnNCs4KvgX0Cc4KzQrMCs8KvgXOCtAK9wm+BdAKzgrNCtEKzQrPCtEK0ArOCtIKzgrRCtIK9wnQCtMKzAovA88KzAq/BS8D0QrPCtQK0ArSCtUK0wrQCtUK0grRCtYK0QrUCtYK1QrSCtcK0grWCtcKzwrOBdQKzwovA84F1grUCtgK1wrWCtkK1grYCtkK1AraCtgK1ArOBdoK2QrYCtsK2AraCtwK2ArcCtsKzgXKBdoK2goQAdwK2grKBRABzgXdCsoFLwPdCs4FLwPeCt0KvwXeCi8DvwXJCt4KyQrLAd4KyQrIAcsB3gowA90K3grLATAD3QrfCsoF3QowA98KygXfCuAKygXgChAByAHhCssByAHICuEKywHiCjADywHhCuIKMAPIBd8KMAPiCsgF3wrJBeAK3wrIBckFyArBBeEKyArHCsEF4QrjCuIK4QrBBeMK4grkCsgF4grjCuQKyAXlCskFyAXkCuUKxwrCBcEFxwo8AMIFwQXmCuMKwQXCBeYK4wrnCuQK4wrmCucK5Ao7AOUK5ArnCjsA5Qo7AOgK5wrpCjsA5QroCssFyQXlCssFywXoCswF5wrHBekK5grHBecKxwXGBekK5grqCscFwgXqCuYKxwXrCsYF6grrCscF6wrsCsYFwgXtCuoKPADtCsIFPADuCu0K7QrvCuoK6grvCusK7grwCu0K7QrwCu8K7grDBfAK6wrFBewK7wrFBesKxQU9AOwKxQXxCj0A7wryCsUF8grxCsUF8AryCu8K8grzCvEKwwXEBfAK8ArEBfIKxAXzCvIKwwX0CsQFxAX1CvMK9Ar1CsQF9ArMAfUKEAExA/YKEAHgCjED3AoQAfYK4Ar3CjED4ArJBfcKyQXLBfcK9wrLBfgKywXMBfgK+ArMBfkK9wr4CjMDMQP3CjMD+Ar5CvoKMwP4CvoK+gr5CkQA+gpEAPsKzQX6CvsKMwP6Cs0FzQX7CvwKMQMzA/0K/QozA80F9goxA/0KzwXNBfwK/QrNBc8FzwX8ChEB9gr9CtAF0AX9Cs8F/grPBREB0AXPBf4K/goRAf8K0wX2CtAF3Ar2CtMF2wrcCtMF0wXQBQALAAvQBf4K2wrTBQELAQvTBQAL0QX+Cv8KAAv+CtEF0QX/CtIFAQsACwILAgsAC9EFAwvbCgEL2QrbCgMLBAvRBdIFAgvRBQQLBAvSBQULBgsBCwILAwsBCwYLBwsCCwQLBgsCCwcLCAsECwULBwsECwgLCAsFCwkLCgsICwkLCgsJCwsLDAsHCwgLDAsICwoLDQsGCwcLDQsHCwwLDgsGCw0LDgsDCwYLDwsKCwsLDwsLCxALEQsMCwoLEQsKCw8LEgsNCwwLEgsMCxELEwsOCw0LEwsNCxILNAMPCxALNAMQCxQLFQsRCw8LFQsPCzQDFgsSCxELFgsRCxULFwsTCxILFwsSCxYLGAs0AxQLGAsUCxkL1AUVCzQD1AU0AxgLGgsWCxULGgsVC9QFGwsXCxYLGwsWCxoL1QUYCxkL1QUZCzUDHAvUBRgLHAsYC9UF1gUaC9QF1gXUBRwLHQsbCxoLHQsaC9YFHgvVBTUDHgs1Ax8LzgEcC9UFzgHVBR4LIAvWBRwLIAscC84BNgMgC84BzQHWBSALzQEdC9YFjwogCzYDjwrNASALigrNAY8KNgPOASELIQvOAR4LkQo2AyELigoiC80BIgsdC80BEgEiC4oKIgsjCx0LEgEkCyILJAsjCyILhgokCxIBIwsbCx0LhgolCyQLgQolC4YKJAsmCyMLJQsmCyQLIwsyAxsLJgsyAyMLMgMXCxsLgQonCyULfgonC4EKfgp9CicLJwsoCyULJQsoCyYLfQopCycLJwspCygLfQp8CikLJgsqCzIDKAsqCyYLMgMrCxcLKgsrCzIDKwsTCxcLKAssCyoLKQssCygLKgstCysLLAstCyoLKwsuCxMLLQsuCysLLgsOCxMLKQsvCywLfAovCykLLAswCy0LLwswCywLLQsxCy4LMAsxCy0LLgsyCw4LMQsyCy4LMgsDCw4LMgvZCgML1wrZCjILMQvXCjIL1QrXCjELMAvVCjEL0wrVCjALLwvTCjALMwvTCi8LfAozCy8LMwv3CdMK+AkzC3wK9gn3CTML+An2CTMLNwPQAd0F3QXQAZsKNwM0C9ABNwORCjQL0AE1C5sKmwo1C54KNQunCp4K0AE2CzULNAs2C9ABNQvbBacKNgvbBTUL2wUUAacK2wU3CxQBOAs3C9sFNgs4C9sFOAvPATcLNAvYBTYL2AU4CzYL2QXPATgL2AXZBTgL2QXaBc8B2QU5C9oF2QU6CzkL2AU6C9kFOgsTATkLNAs7C9gF2AU7CzoLNAuRCjsLkQohCzsLOwvXBToLOgvXBRMBOwshC9cF1wUfCxMBIQseC9cF1wUeCx8LPAs9C0IDQgM9C9cBQgPXAfQFPAtDAz0LPgtDAzwL9AXXAUcD9AVHA0QDRANHA/YFRAP2BUcARwM/C/YFRwP3BT8L1wH3BUcD9wVACz8L1wH4BfcFPQv4BdcB9wX5BUAL+AX5BfcF+QXYAUALPQtBC/gFQwNBCz0L+AX7BfkFQQv7BfgF+QVIA9gB+wVIA/kFSAP6BdgBSANKA/oFSgNCC/oF+wX9BUgD/QVKA0gDQQtJA/sFSQP9BfsF/AVJA0ELQwP8BUELSgP+BUIL/gVDC0IL/QXbAUoD2wH+BUoDSQPaAf0F2gHbAf0F/AVEC0kDRAvaAUkD/gUHBkML2wH/Bf4F/wUHBv4FBwZGAEMLRQv/BdsB2gFFC9sB/wUZAQcGRAtGC9oBRgtFC9oBRQtHC/8FRwsZAf8FRgtLA0ULSwNHC0ULGQEIBgcGBwYIBkYARwtICxkBGQEGBggGSAsGBhkBAwZIC0cLSwMDBkcLSAtJCwYGAwYFBkgLBQZJC0gLSgsFBgMGSwsDBksDSwtKCwMGTAtLC0sDTAtLA0YLTQtKC0sL2QFLC0wL2QFNC0sLTgtMC0YLTgtGC0QLAAbZAUwLAAZMC04LTwtNC9kBRgPZAQAGRgNPC9kBUAtOC0QLAgZPC0YDRQMCBkYDAgYYAU8LRQNGAwEGAQZGAwAG9QVFAwEGUAtEC/wFUQsABk4LUQtOC1ALAQYABlEL9QUBBtYB1gEBBlELRQD1BdYBRQDWAVIL1gFRC1MLUgvWAVMLUwtRC1ALUgtTC/MFUwtQC1QL8wVTC1QLVAtQC/wF8wVUCz4LVAv8BUMDPgtUC0MDBQbdAUkLVQvdAQUGSgtVCwUG3QELBkkLVgtVC0oLTQtWC0oLVQtXC90BGgFWC00LTwsaAU0LGAEaAU8LGAFYCxoBWAsEBhoBGgEEBlYLWAtMAwQGVgtZC1ULBAZZC1YLWQtXC1ULTAPcAQQGBAbcAVkLTANaC9wBWQtbC1cL3AFbC1kLWgsJBtwB3AEJBlsLWgtIAAkGWwtcC1cLCQZdC1sLWwtdC1wLSAAQBgkGCQYQBl0LSAATBhAGXgsTBkgAVwtcCw8GVwsPBt0B3QEPBgsGXgtPAxMGUANPA14LTwNOAxMGUAMbAU8DXwsbAVADGwEUBk8DTwMUBk4DXwsVBhsBHAEVBl8LHAEWBhUGFQYXBhsBGwEXBhQGFgYYBhUGFQYYBhcGFgZSAxgGUgPgARgGUgMbBuABGwZgC+ABGwZYAGAL4AFgC1MDGAbgARoG4AFTAxoGGAYaBhcGGgZTA2ELFwYaBhkGGgZhCxkGFwYZBhQGGQZhC1cAFAYZBlEDGQZXAFEDFAZRA04DYgtOA1EDYwtRA1cAYgtRA2MLUwBiC2MLUgBiC1MAUwBjC1kAUgBkC2ILZAtOA2ILUQBkC1IAWQBjC2ULYwtXAGULWQBlC1oAZAvfAU4DEwZOA98BEwbfARAGUQASBmQLEgbfAWQLTwASBlEAEAbfAWYLEgZmC98BEAZmC10LTwBnCxIGZwtmCxIGTQBnC08AXQtmC2gLZwtoC2YLXQtoC1wLTQBpC2cLaQtoC2cLTABpC00AXAtoCxEGaQsRBmgLXAsRBg8GTABqC2kLagsRBmkLSQBqC0wADwYRBt4BagveAREGDwbeAQsGSQBrC2oLawveAWoLTgBrC0kACwbeAQ4GawsOBt4BTgBsC2sLbAsOBmsLUABsC04AUABtC2wLVABtC1AAbQtfA2wLbAtfAw4GVABWA20LVQBWA1QAbQviAV8DVgPiAW0LVQBuC1YDVgBuC1UAbgtvC1YDVgNvC+IBVgBwC24LXgBwC1YAbgtxC28LcAtxC24LXgBVA3ALWwBVA14AcAsrBnELVQMrBnALWwByC1UDWgByC1sAWgBlC3ILcgtUA1UDVQNUAysGZQscBnILcgscBlQDZQtXABwGVwBzCxwGVwB0C3MLHAYtBlQDHAZzCy0GdAsdBnMLdAtZAx0GcwvhAS0GcwsdBuEBWQNYAx0GWQN1C1gDdQt2C1gDdQtdAHYLWAN2Cx4GHQZYAx8GWAMeBh8GHQYfBuEBHwYeBncLHwZ3C3gL4QEfBngLeAt3C3kLeAt5C3oLegt5C1oD4QF4CyIGIgZ4C3oLegtaAyAGIAZaAyEGIgZ6C3sLewt6CyAGIgZ8C+EBewskBiIGIgYkBnwLIAYhBiMGIwYhBlwDewsgBlsDWwMgBiMGJAZgAHwLfAtgAF8AJAZhAGAAfAtfAH0L4QF8C30LfQtfAFwA4QF9Cy0GfgthACQGewt+CyQGWwN+C3sLfgtmAGEALQZ9CywGfQtcACwGLQYsBlQDLAZcAGIAJQZmAH4LWwMlBn4LJQZnAGYAHQElBlsDfwtnACUGHQF/CyUGfwtoAGcAWwMjBh0BKAZoAH8LKAZpAGgAXgN/Cx0BXgMoBn8LHQEjBiYGIwZcAyYGJgZcA2UAJgZlAIALHQEmBicGJwYmBoALXgMdAScGJwaAC4ELggsnBoELXgMnBoILgguBC10D4gFeA4IL4gEoBl4DgwuCC10D4gGCC4MLgwtdA0oAXwPiAYML4gEpBigGKQZpACgGbwspBuIBKQZqAGkAbwtXAykGVwNqACkGcQtXA28LVwNkAGoAcQsqBlcDKgZkAFcDKwYqBnELKgZjAGQAKwblASoG5QFjACoGVAPlASsG5QFiAGMAVAMsBuUBLAZiAOUBSQsMBgYGSQsLBgwGCwYOBgwGBgYMBk0DBgZNAwgGDAYOBg0GDAYNBk0DDgYuBg0GDgZfAy4GXwODCy4GLgaDC0oALgZKAC8GDQYuBi8GLwZKAGEDTQMNBoQLDQYvBoQLCAZNAwoGTQOECwoGCAYKBkYALwZhAzAGhAsvBjAGMAZhA4ULCgaEC4YLhAswBoYLRgAKBmADCgaGC2ADRgBgA4cLMAaFC4gLhgswBogLiAuFC4kLYAOGCzEGhguICzEGhwtgA4oLYAMxBooLhwuKC4sLiAuJC2IDMQaIC2IDYgOJC0sAYgNLADMGMQZiA4wLjAtiAzMGigsxBowLjAszBo0LiwuKC+MBiguMC+MB4wGMC40LiwvjATIG4wGNC44LMgbjAY4LMgaOC+QBjwuQC2QDjwtjA5ALkQuPC2QDYwPmAZALYwM0BuYBkQtkA5ILNQaRC5ILZAOQC5MLNQaSC5QLlQs1BpQLkgtkAzsGZAOTCzsGlAuSC5YLkgs7BpYLlQuUC+cBawCVC+cBawDnATwG5wGUC5cLlAuWC5cLPAbnAT0G5wGXCz0GPAY9BmYDZgM9BukBZgPpAT4GPQaXC5gLPQaYC+kBlwuWC5kLlwuZC5gLlgtnA5kLlgs7BmcDPgbpAZoLPgaaCx4B6QGYC2sD6QFrA5oLmAuZC5sLmAubC2sDmQucC5sLmQtnA5wLHgGaC+oBHgHqAUQGmgtrA50LmgudC+oBawObC54LawOeC50LmwttA54LmwucC20DRAbqAUUGRAZFBm4D6gGdC58L6gGfC0UGnQueC6ALnQugC58LngtDBqALngttA0MGbgNFBuwBbgPsAaELRQafC6ILRQaiC+wBnwugC6MLnwujC6ILoAtvA6MLoAtDBm8DoQvsAUgGoQtIBm4A7AGiC6QL7AGkC0gGogujC6ULogulC6QLowtwA6ULowtvA3ADpAulC6YLSAakC6cLpAumC6cLpQtLBqYLpQtwA0sGSAanC04GbgBIBk4GpwumC6gLbgBOBlEGqQtuAFEGTganC6oLpwuoC6oLUQZOBvEBTgaqC/EBqQtRBncDeAOpC3cDUQbxAXEAdwNRBnEAeAN3A/IBVAZ4A/IB8gF3A1MGdwNxAFMGVAbyAVUGIQFUBlUGIQFVBlYGVQbyAVcG8gFTBlcGVgZVBlgGVQZXBlgGVgZYBnoDegNYBnkDegN5A1oGWgZ5A6sLWgarC28AeQN7A6sLWAbzAXkDeQPzAXsDWAZXBvMB8wGsC3sDVwZZBvMB8wFZBqwLVwZTBlkGWQZwAKwLUwZSBlkGWQZSBnAAUwZxAFIGrQtSBnEArgtwAFIGrQuuC1IGdQCuC60LdQB0AK4LdgB1AK0LdACvC64LrguvC3AAdAByAK8LsAutC3EAdgCtC7ALsAtxAPEBdwB2ALALUAawC/EBdwCwC1AGUAbxAaoLkQB3AFAGsQtQBqoLkQBQBrELsQuqC6gLkACRALELkACxC7ILsguxC6gLjwCQALILsguoC08GpgtPBqgLjwCyC7MLswuyC08GpgtLBk8GjQCPALMLjQCzC7QLjACNALQLswtPBu0BSwbtAU8GtAuzC+0BSwZKBu0BcANKBksGtAvtAUwGSgZMBu0BjAC0C7ULtQu0C0wGiwCMALULcAO2C0oGbwO2C3ADtgtxA0oGSgZxA0wGbwO3C7YLQwa3C28DtgtHBnEDtwtHBrYLQwa4C7cLbQO4C0MGtwsgAUcGuAsgAbcLbQO5C7gLnAu5C20DuAtBBiABuQtBBrgLnAsfAbkLZwMfAZwLuQvrAUEGHwHrAbkLZwO6Cx8BOwa6C2cDOwaTC7oLugs/Bh8BHwE/BusBkwtoA7oLugtoAz8Gkws4BmgDkAs4BpMLkAvmATgGOAY5BmgDaANqAz8GaAM5BmoDOAY3BjkG5gE3BjgGOQboAWoDOQa7C+gBNwa7CzkGagPoAToGNwa8C7sLPwZqA2wDagM6BmwDPwZsA+sBbAM6Br0LaQO8CzcG5gFpAzcGNAZpA+YBaQM2BrwLNAZlA2kDZQM2BmkDZQNsADYGbAO9C0AG6wFsA0AGQAa9C74L6wFABkEGQAa+C0IGQQZABkIGQQZCBiABQga+C20AIAFCBkYGQgZtAEYGIAFGBkcGRwZGBnIDRwZyA3EDRgZtAEkGRgZJBnIDbQBzA0kGbQC/C3MDcQNyA00GcQNNBkwGcgNJBsALcgPAC00GSQZzA8ELSQbBC8ALvwvCC3MDvwvDC8ILcwNyBsELcwPCC3IGwwvvAcILwwtzBu8BcwbEC+8BcwbuAcQL7wHEC8ULwgvvAcYL7wHFC8YLwgvGC3IGxgvFC3EGxgtxBnQDcgbGC3QDdANxBo4AdAOOAMcLcgZ0A8gLyAt0A8cLwQtyBsgLyAvHC8kLwQvIC3UDdQPIC8kLwAvBC3UDdQPJC3AGwAt1A8oLygt1A3AGTQbAC8oLygtwBocATQbKC2wGbAbKC4cATAZNBmwGbAaHAGgGTAZsBnYDdgNsBmgGaAaHAGcGtQtMBnYDaAZnBssLywtnBswLdgNoBvAB8AFoBssLzQu1C3YDzQt2A/ABiwC1C80LigCLAM0LigDNC34DfgPNC/ABiQCKAH4DiQB+A84LiACJAM4Lzgt+A88LfgPwAc8LiADOC9ALegCIANALzgvPC9EL0AvOC9ELegDQC30DcwB6AH0D0AvRC20GfQPQC20GcwB9A9ILcgBzANILcgDSC68L0gt9A3wDfQNtBnwDrwvSC1sG0gt8A1sGrwtbBnAAcABbBtMLcADTC9QLWwZ8A28GWwZvBtMLfANtBvUB1AvTC1wG1AtcBoUD0wtvBvQB0wv0AVwGbwZ8A24GfAP1AW4GhQNcBoQDhQOEA9UL1QuEA9YL1QvWC3kAhANdBtYLXAZeBoQDhANeBl0GXAb0AV4GXgbXC10GXgbYC9cL9AHYC14G2AvZC9cL2AvaC9kL2guDA9kL9AFhBtgLYQbaC9gL2gtfBoMDXwZgBoMDYQbbC9oL2wtfBtoLXwZiBmAGYgaBA2AG2wuCA18GggNiBl8GYgZlBoEDZQaAAIEDZQbcC4AAIgFlBmIGggMiAWIGZgbcC2UGIgFmBmUGZgbMC9wLywvMC2YGgAPLC2YGgANmBiIB8AHLC4ADIgGCA2QGgAMiAd0LIgFkBt0LggPeC2QGggPbC94L3QtkBoMAZAaCAIMAZAbeC4IA3QuDAIQA3gt9AIIAgAPdC2kGaQbdC4QA8AGAA2kGaQaEAIUA8AFpBmoGagZpBoUAzwvwAWoGagaFAIYAzwtqBn8DfwNqBoYA0QvPC38DfwOGAIEA0Qt/A2sGawZ/A4EAbQbRC2sGawaBAH8AbQZrBvUB9QFrBn8A9QF/AH4Abgb1AX4AbgZ+AHgA3wtuBngAbwZuBt8L3wt4AHsA9AFvBt8L4AvfC3sA9AHfC+AL4At7AHwAYQb0AeALYwbgC3wAYQbgC2MGYwZ8AH0A2wthBmMG3gtjBn0A2wtjBt4LdAaRA/YB9gGRA6sGdAbhC5ED4gt0BvYB4Qv4AZED4wvhC3QGkQP4AYYDkQOGA6sGqwaGA6wGqwasBvcBhgOWAKwGhwOrBvcB9gGrBocDhwP3AeQL5Qv2AYcD4gv2AeUL5guHA+QL5QuHA+YL5gvkC+cL6AvmC+cL6AvnC+kL6gvlC+YL6gvmC+gL6wviC+UL6wvlC+oLrgboC+kLrgbpC60GdwbqC+gLdwboC64GdQbrC+oLdQbqC3cGrwauBq0GrwatBiQBIwF3Bq4GIwGuBq8G7At1BncG7At3BiMBiAOvBiQBiAMkAfkBiQMjAa8GiQOvBogD7QvsCyMB7QsjAYkD7gt1BuwL7wvsC+0L7wvuC+wL7gvwC3UG8AvrC3UG8QvuC+8L8AvyC+sL8gviC+sL8wvwC+4L8QvzC+4L9AvyC/AL8wv0C/AL8gv1C+IL9Qt0BuIL9QvjC3QG9gv1C/IL9Av2C/IL9wvjC/UL9gv3C/ULdgb2C/QL+Av3C/YLdgb4C/YL+wF2BvQL+wH0C/MLeAb4C3YGkAN2BvsBkAN4BnYGJQH7AfMLJQHzC/ELegaQA/sBegb7ASUBeQZ4BpADeQYmAXgG/QF5BpAD/QGQA3oGJgH5C3gGeAb5C/gLJgH6C/kL+Qv7C/gL+Av7C/cL+gv8C/kL+Qv8C/sL+gv9C/wL+wv+C/cL9wv+C+ML/AuOA/sL+wuOA/4L/QuSA/wL/AuSA44D/QuTA5ID/gv/C+ML4wv/C+ELjgMADP4L/gsADP8LkgN7Bo4DjgN7BgAMkwN8BpIDkgN8BnsGkwN9BnwG/wsBDOEL4QsBDPgBAAwCDP8L/wsCDAEMfQaUA3wGfQb8AZQDfAaUA/oBfAb6AXsGewYDDAAMAAwDDAIMewb6AQMM/AF+BpQD/AGZAH4GlAOVA/oBlAN+BpUD+gEEDAMM+gGVAwQMAwwEDAUMAwwFDAIMlQMGDAQMfgaYA5UDlQOYAwYMfgaABpgDmQCABn4GAgwFDH8GAgx/BgEMBAwHDAUMBAwGDAcMBQyCBn8GBQwHDIIGAQx/Bv8BAQz/AfgBfwaCBpYDfwaWA/8BBwyjBoIG+AH/AakG+AGpBoYDhgOpBpYA/wGnBqkG/wGWA6cGqQb9BpYAqQanBv0GlgD9BrkDlgC5A/wGpwYRAv0GlgOXA6cGpwaXAxEClgM5AZcDggY5AZYDggajBjkB/QY6AbkD/QYRAjoB/Aa5A/kG/Ab5BhMCuQM6ARICuQMSAvkGEQL/BjoBEwL5BrsDEwK7AwgM+QYSAhAC+QYQArsDOgH+BhICOgH/Bv4GEgK9AxACEgL+Br0DCAy7AwkMCAwJDAoMuwMQAgsMuwMLDAkMEAK9AwwMEAIMDAsMCgwJDA0MCgwNDA4MCQwLDA8MCQwPDA0MCwwMDBAMCwwQDA8MDgwNDPoGDgz6BvsGDQwPDPcGDQz3BvoGDwwQDMIDDwzCA/cG+wb6BhQC+wYUAjsBOwEUAsQDOwHEAxUCFAL4BsQD+gbDAxQCFALDA/gG+gb3BsMDwwPBA/gG9wb2BsMDwwP2BsED9wbCA/YG9gYRDMED9gYSDBEMwgMSDPYGEgz1BhEMwgMTDBIMEgz0BvUGEwz0BhIM9AY9AfUGEAwTDMID9AbAAz0BwAPyBj0BEwzzBvQG8wbAA/QGEAwUDBMMFAzzBhMMDAwUDBAMwAPxBvIG8QaXAPIG8QbvBpcA8AbxBsAD8wbwBsADvgPvBvEG8Aa+A/EGvgMNAu8GFQzwBvMGFAwVDPMGFgy+A/AGFQwWDPAGFwwNAr4DFgwXDL4DFwwYDA0CDAwZDBQMGQwVDBQMvQMZDAwMGgwWDBUMGQwaDBUMvQMbDBkMGwwaDBkM/gYbDL0DGgwcDBYMHAwXDBYMGww8ARoMPAEcDBoM/gYdDBsMHQw8ARsM/wYdDP4GHgwYDBcMHAweDBcMHgwfDBgMPAG/AxwMvwMeDBwMvAMfDB4MvwO8Ax4MvAO4Ax8MugO/AzwBHQy6AzwB7ga8A78DugPuBr8D7Qa4A7wD7gbtBrwD7QbrBrgDIAy6Ax0M/wYgDB0MDALuBroDIAwMAroD7AbtBu4GDALsBu4GtgPrBu0G7Aa2A+0GtgO3A+sG6gYgDP8GEQLqBv8GlwPqBhEC6gYhDCAMIQwMAiAMlwOoBuoGqAYhDOoGOQGoBpcDIQy1AwwCtQPsBgwCqAYiDCEMIgy1AyEMOQGmBqgGpgYiDKgGowamBjkBtQPnBuwG5wa2A+wGIgyqBrUDqgbnBrUDpgYjDCIMIwyqBiIMowaiBqYGogYjDKYGJAyiBqMGBwwkDKMGBgwkDAcMBgwlDCQMmAMlDAYMJAwmDKIGJQwmDCQMogYnDCMMJgwnDKIGJwyaAyMMIwyaA6oGmAOZAyUMgAaZA5gDJQwoDCYMmQMoDCUMJgwpDCcMKAwpDCYMJwykBpoDKQykBicMmgMyAaoGqgYyAecGpAYLApoDmgMLAjIBKQwqDKQGKAwrDCkMKwwqDCkMoAYrDCgMmQOgBigMpAalBgsCKgylBqQGKwGgBpkDgAYrAZkDoAYsDCsMgQYrAYAGmQCBBoAG/gGBBpkAKwyhBioMLAyhBisMKwGeBqAGngYsDKAGgQaFBisBhQaeBisB/gGfA4EGnwOFBoEGgwafA/4BgwaEBp8DoQOEBoMGnwOGBoUGhAaGBp8DhQadA54GhgadA4UGnQMtDJ4GngYtDCwMoQOiA4QGLgyiA6EDhAaHBoYGogOHBoQGhgYbAp0DhwYbAoYGnQMvDC0MGwIvDJ0DLgwwDKIDMQwwDC4MogM2AYcGMAw2AaIDhwajAxsCNgGjA4cGGwIyDC8MowMyDBsCMQwzDDAMOAEzDDEMMAw0DDYBMww0DDAMNgGPBqMDNAyPBjYBowM1DDIMjwY1DKMDOAGIBjMMiQaIBjgBMww2DDQMiAY2DDMMNAw3DI8GNgw3DDQMjwY4DDUMNww4DI8GiQaKBogGHgKKBokGHgKLBooGigaMBogGiAaMBjYMiwakA4oGigakA4wGiwY3AaQDNgw5DDcMjAY5DDYMOQw6DDcMNww6DDgMjAY7DDkMpAM7DIwGNwEdAqQDpAMdAjsMNwGNBh0COww8DDkMOQw8DDoMHQI9DDsMOww9DDwMjQY+DB0CHQI+DD0MjQY/DD4MPwymAz4MPwyOBqYDPgyQBj0MPgymA5AGPQxADDwMPQyQBkAMPAxADEEMPAxBDDoMjgaRBqYDjgY1AZEGpgOSBpAGpgORBpIGkAZCDEAMkAaSBkIMQAxDDEEMQAxCDEMMNQGoA5EGNQGUBqgDlAaVBqgDlAaYAJUGqAOVBkQMkQaoA5MGqANEDJMGkQaTBpIGkwZEDEUMkgaTBkYMkwZFDEYMkgZGDEIMRgxFDEcMQgxGDEgMRgxHDEgMQgxIDEMMSAxHDJYGSAyWBqkDQwxIDKkDqQOWBhoCQwypAxwCQQxDDBwCqQMaApcGHAKpA5cGlwYaApgGQQwcAqUDOgxBDKUDOgylAzgMpQMcAqcDHAKXBqcDOAylA5oGpQOnA5oGOAyaBjUMlwaYBpkGpwOXBpkGmQaYBpIAmganAxkCpwOZBhkCNQyaBpwGmgYZApwGNQycBjIMGQKZBpsGmQaSAJsGnAYZAqADGQKbBqADMgycBp0GnAagA50GMgydBi8MLwydBpsDLwybAy0MnQagA58GnQafBpsDoAObBp4DoAOeA58GmwYEB54DmwaSAAQHLQybAxYCLQwWAiwMLAwWAqEGmwOcAxYCmwOfBpwDFgJJDKEGFgKcA0kMoQZJDEoMoQZKDCoMKgxKDKUGnwazA5wDnwaeA7MDnAMAB0kMnAOzAwAHSQxLDEoMSQwAB0sMSgxMDKUGSgxLDEwMpQZMDLQDpQa0AwsCSwxNDEwMAAdODEsMSwxODE0MAAcDB04MswMDBwAHCwK0A+gGCwLoBjIBTAyyA7QDTAxNDLIDtAMBB+gGtAOyAwEHMgHoBukGMgHpBucG5wbpBrYD6Qa3A7YD6QaUALcD6AaUAOkG6AYBB5QAAQexA5QAAQcOArEDsgMOAgEHDgICB7EDsgMGBw4CTQwGB7IDDgIJBwIHBgcJBw4CCQevAwIHTQxPDAYHTgxPDE0MBgewAwkHTwywAwYHCQeuA68DsAOuAwkHrgNQDK8DTgxRDE8MAwdRDE4MTwxSDLADUQxSDE8MsAMhAq4DUgwhArADrgNTDFAMIQJTDK4DUwxUDFAMUwxVDFQMVQwPAlQMIQJWDFMMVgxVDFMMUgwKByECCgdWDCECVwwKB1IMUQxXDFIMVQwLBw8CCwcMBw8CVgxYDFUMWAwLB1UMCgdZDFYMWQxYDFYMVwxaDAoHWgxZDAoHCwciAgwHIgKVAAwHIgINB5UArQMiAgsHWAytAwsHDgcNByICrQMOByICDgczAQ0HWwytA1gMWQxbDFgMXAwOB60DWwxcDK0DXQwzAQ4HXAxdDA4HXQxeDDMBXwxbDFkMWgxfDFkMYAxcDFsMXwxgDFsMYQxdDFwMYAxhDFwMYgxeDF0MYQxiDF0MYgxjDF4MZAxjDGIMZAxlDGMMDwdiDGEMDwdkDGIMZgxhDGAMZgwPB2EMZwxmDGAMZwxgDF8MNAFlDGQMNAGrA2UMEAdkDA8HEAc0AWQMaAwPB2YMaAwQBw8HaQxmDGcMaQxoDGYMFAerAzQBFAcgAqsDEwcgAhQHEweTACACagwTBxQHEgcUBzQBagwUBxIHEgc0ARAHawxqDBIHbAwSBxAHawwSB2wMbAwQB2gMbQxrDGwMbgxsDGgMbQxsDG4MbgxoDGkMEQdtDG4MEQduDB8CHwJuDGkMGAIRBx8CHwJpDKwDGAIfAgcHBwcfAqwDrANpDGcMBQcYAgcHrANnDG8MbwxnDF8MbwxfDFoMCAesA28MBwesAwgHcAxvDFoMCAdvDHAMcAxaDFcMBQcHB6oDqgMHBwgHkgAFB6oDkgCqAwQHqgMIBzEBMQEIB3AMBAeqAzEBcQxwDFcMMQFwDHEMcQxXDFEMAwdxDFEMFwIxAXEMFwJxDAMHBAcxARcCswMXAgMHngMEBxcCngMXArMDcgxzDHQMdAxzDHUMcgx2DHMMdwxyDHQMdgx4DHMMeQx2DHIMcwx4DHoMcwx6DHUMdgx7DHgMfAxyDHcMfAx5DHIMeQx9DHYMfQx7DHYMeQwoAX0Mewx+DHgMeQx/DCgBfAx/DHkMfQwoAYAMfQyBDHsMfQyADIEMgQyCDHsMewyCDH4MgQzFA4IMgQyADNcGgQzXBsUDxQObAIIMxQPXBpsAggyDDH4MggybAIMMfgyDDIQMgAzWBtcG1wbVBpsA1wbWBtUGmwCFDIMMmwDVBoUMgwyFDNMGgwzTBoQMgAy1BtYGKAG1BoAM1gaPA9UGKAGGDLUGfwyGDCgBtQaxBtYG1gaxBo8DhgwAArUGtQYAArEGAAL9AbEGsQb9AXoGsQZ6Bo8DAAKzBv0BjwN6BiUBtAazBgAChgy0BgACtAYnAbMGjwMlAbAG1QaPA7AGsAYlAfEL1QawBoUMsAbxC4cMhQywBocMhwzxC+8LhQyHDNMGhwzvC4gM0waHDIgMiAzvC+0L0waIDIkMiAztC4oMiQyIDIoMigztC4kDhAzTBokMigyJA4sDiwOJA4gDiQyKDIsMiwyKDIsDhAyJDIwMjAyJDIsMjQyEDIwMfgyEDI0MeAx+DI0MeAyNDHoMjQyMDMYDegyNDMYDjAyLDI4MxgOMDI4MjgyLDNIGiwyLA9IG0gaLA7IGiwOIA7IGsgaIA/kBsgb5AYoDigP5AYwD0gayBo8MjwyyBooDjgzSBgECAQLSBo8M2AaODAECxgOODNgGigOMA88GzwaMA8wGjwyKA9EG0QaKA88GAQKPDJAMkAyPDNEGkQwBApAM2AYBApEMzwbMBgICAgLMBo0D0QbPBtAG0AbPBgICkAzRBikBKQHRBtAG1AaQDCkBkQyQDNQGAgKNA5IMkgyNA5MM0AYCAs0GzQYCApIMKQHQBs4GzgbQBs0GlAwpAc4G1AYpAZQMkgyTDJUMlQyTDMsGzQaSDJYMlgySDJUMzgbNBqgAqADNBpYMlwzOBqgAlAzOBpcMlQzLBtID0gPLBiwBlgyVDJgMmAyVDNIDqACWDJkMmQyWDJgMAwKoAJkMlwyoAAMC0gMsAcoGygYsAcgGmAzSA5oMmgzSA8oGmQyYDJsMmwyYDJoMnAyZDJsMAwKZDJwMygbIBtED0QPIBqUAmgzKBtMD0wPKBtEDmwyaDN4G3gaaDNMDnQybDN4GnAybDJ0M0QOlAM8DzwOlAMUG0wPRA8kGyQbRA88D3gbTA54MngzTA8kGnwzeBp4MnQzeBp8MzwPFBsQGxAbFBi4ByQbPA8cGxwbPA8QGngzJBi0BLQHJBscGoAyeDC0BnwyeDKAMxAYuAQkCCQIuAaEMxwbEBsYGxgbEBgkCLQHHBqIMogzHBsYG3QYtAaIMoAwtAd0G3QaiDKMMCQKhDKQMpAyhDKUMxgYJAqYMpgwJAqQMogzGBgoCCgLGBqYMowyiDAoCpAylDKcMpwylDKgMpgykDMIGwgakDKcMCgKmDKkMqQymDMIGowwKAqoMqgwKAqkMqgzdBqMMpwyoDKsMqwyoDM0DwganDKwMrAynDKsMqgytDN0GrgzCBqwMqQzCBq4MqgypDK8MrwypDK4MrwytDKoMrQygDN0GrQywDKAMsAyfDKAMrwyxDK0MsQywDK0MrwyuDLIMsgyxDK8MsgyuDLMMrgysDLMMsAy0DJ8MsQy1DLAMtQy0DLAMtAydDJ8Mtgy1DLEMsgy2DLEMtQy3DLQM0AO2DLIMsgyzDNADtgy4DLUMuAy3DLUMuQy4DLYM0AO5DLYMtwzcBrQMtAzcBp0MuAy6DLcMuQy7DLgMuwy6DLgMtwy8DNwGugy8DLcMvQydDNwGvgzcBrwMvQzcBr4MvwydDL0MvwycDJ0MwAycDL8MwAwDApwMwQy/DL0MwgwDAsAMwgyXDAMCwwzADL8Mwwy/DMEMxAzCDMAMxAzADMMMxQyXDMIMxQyUDJcMxgzCDMQMxgzFDMIMxwyUDMUMxwzUBpQMyAzFDMYMyAzHDMUMyQzUBscMyQyRDNQGygzHDMgMygzJDMcMywyRDMkMywzYBpEMzAzJDMoMzAzLDMkMzQzYBssMzQzGA9gGzgzLDMwMzgzNDMsMzwzMDMoM0AzODMwM0AzMDM8MsADQDM8MsQDQDLAAsADPDKsAsQDZBtAM2QbODNAMswDZBrEAqwDPDNE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"), 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"), 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"), 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") 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") 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HVQG/B9UA1QDABygE1QC/B8AHVQHBB78HXwLBB1UBXwLCB8EHtgfCB18CwQcpBL8HtgciBMIHtAciBLYHwgcmBMEHwQcmBCkEIgTDB8IHwgfDByYEtAdTASIEsgdTAbQHIgTEB8MHUwHEByIEsgchBFMBsAchBLIHUwEgBMQHIQQgBFMBIATFB8QHIARcAsUHxAfFBxgAxAcYAMMHxgdcAiAEIQTGByAExgfHB1wCsAfIByEEyAfGByEEHgTIB7AHyQfHB8YHyAfJB8YHyQfKB8cHHgRbAsgHWwLJB8gH0QBbAh4EGgTKB8kHWwIaBMkHGgRQAcoH0QDLB1sCywcaBFsCqwfLB9EAzAdQARoEywfMBxoEzAfNB1ABqwcYBMsHGATMB8sHVwIYBKsHFwTNB8wHGAQXBMwHFwTOB80HVwIWBBgEFgQXBBgEpwcWBFcCzwfOBxcEFgTPBxcEzwfQAM4HpwdWAhYEVgLPBxYEpQdWAqcH0AfQAM8HVgLQB88H0AfRB9AApQcSBFYCEgTQB1YCowcSBKUHCwTRB9AHEgQLBNAHCwQJBNEHowdVAhIEVQILBBIEUwJVAqMH0gcJBAsEVQLSBwsE0gfTBwkEUwLUB1UC1AfSB1UCDATUB1MCCATTB9IH1AcIBNIHCARRAtMHDATVB9QH1QcIBNQHzQDVBwwE1gdRAggE1QfWBwgE1gfXB1ECzQAKBNUHCgTWB9UHUAIKBM0A2AfXB9YHCgTYB9YH2AfOANcHUALZBwoE2QfYBwoEAATZB1ACBwTOANgH2QcHBNgHBwQGBM4AAATaB9kH2gcHBNkHAgTaBwAETwIGBAcE2gdPAgcETwLKAAYETQLKAE8CTAJPAtoHTQJPAkwCTALaBwIESgFNAkwCBARMAgIESgFMAgQEBAQCBEkCRwJKAQQEAwQEBEkCRwIEBAMEAwRJAkkByQBHAgMERgIDBEkByQADBEYCRgJJAQEERgJFAskAAQQFBEYCRgIFBEUCAQREAgUEBQQUAEUCRALhBAUEBQThBBQARAJHAeEE4QTbBxQARwHiBOEE4QTiBNsHRwHjBOIE4gTcB9sH4wTlBOIE4gTlBNwH4wTnBOUE5QRIAdwH5QTmBEgB5wTmBOUE5gToBEgB5wRDAuYE6QRDAucE5gRCAugEQwJCAuYEQgLdB+gE6QTEAEMCQgLsBN0H7ATIAN0HQwLqBEIC6gTsBEICxADqBEMC7ATvBMgA7wTeB8gA6gTtBOwE7QTvBOwExADrBOoE6wTtBOoE2gTrBMQA2gTZBOsE2QTuBOsE6wTuBO0E2QTUBO4E7QQ9Au8E7gQ9Au0E1ATVBO4E7gTVBD0C1ATNBNUE7wRBAt4HPQJBAu8EQQLGBN4H1QTwBD0CPQLwBEECzQR3AdUE1QR3AfAEzQTLBHcBQQLFBMYE8ATFBEECxQR2AcYEdwHHBPAE8ATHBMUEywTIBHcBdwHIBMcEywTJBMgExQTEBHYBxwTEBMUExATfB3YByATDBMcExwTDBMQEyQTlAMgEyATlAMMEyQS7BOUAxATCBN8HwwTCBMQEwgTABN8H5QDBBMMEwwTBBMIEuwS8BOUA5QC8BMEEuwS6BLwEwgS/BMAEwQS/BMIEvwSJAsAEvAS9BMEEwQS9BL8EugSKArwEvASKAr0EugSyBIoCvwSIAokCvQSIAr8EiALgB4kCigJzAb0EvQRzAYgCsgSxBIoCigKxBHMBsgSwBLEEiAK+BOAHcwG+BIgCvgQWAOAHsQSFAnMBcwGFAr4EsASvBLEEsQSvBIUCsAStBK8ErQRyBK8EvgThBxYAhQLhB74ErwRtBIUChQJtBOEHrwRyBG0EcgRyAW0EcgRwBHIBbQSEAuEHbQRyAYQC4QfiBxYA4QeEAuIHFgDiB1cEFgBXBOMHhAJ1AeIHcgFqBIQChAJqBHUBcgFsBGoEcARsBHIB4wdXBIEC4weBAoAC4gdbBFcE4gd1AVsEVwRYBIECVwRbBFgEgAKBAlQEgAJUBFIEgQJYBFYEgQJWBFQEWwR5AVgEUgRUBFEEUgRRBOQHVARWBFMEVARTBFEEWARZBFYEWAR5AVkEVgRVBFMEVgRZBFUE5AdRBH8C5Ad/AnoBUQRTBEsEUQRLBH8CUwRVBOcAUwTnAEsEegF/AlAEegFQBE8EfwJLBEwEfwJMBFAESwTnAEoESwRKBEwETwRQBH4CTwR+AuUH5Qd+AuYH5QfmB+gAfgJOBOYHUARNBH4CfgJNBE4EUARMBE0ETQR9AU4ETAR8AU0ETQR8AX0BTARKBHwBfAHnB30BfAFFBOcHSgRFBHwBRQToB+cHSgRHBEUERQTpB+gHRwTpB0UE6QccAOgH5wBHBEoE6QdCBBwAQgR8AhwARwRGBOkHRgRCBOkH5wBJBEcESQRGBEcEVQRJBOcAQgRBBHwCQQTqAHwCRgR+AUIEfgFBBEIESQRIBEYESAR+AUYEVQRaBEkEWgRIBEkEWQRaBFUEQQRABOoAQAR3AuoAfgF7AkEEewJABEEESAREBH4BRAR7An4BWgRdBEgEXQREBEgEWQRcBFoEXARdBFoEeQFcBFkEXQReBEQERARDBHsCXgRDBEQEQwR/AXsCewJ/AUAEXARfBF0EXwReBF0EeQFgBFwEYARfBFwEYQRgBHkBWwRhBHkBdQFhBFsEdQFpBGEEagRpBHUBYQRmBGAEaQRmBGEEYARjBF8EZgRjBGAEYwR7AV8EXwR7AV4EagSDAmkEbASDAmoEaQSCAmYEgwKCAmkEZgTqB2MEggLqB2YEYwRkBHsB6gdkBGMEewFiBF4EXgRiBEMEZAR6AnsBewF6AmIE6gfjAGQEggLrB+oH6wfjAOoHawTrB4ICgwJrBIICZARlBHoC4wBlBGQEbgRrBIMCbARuBIMCawRxBOsHhgJuBGwEcASGAmwEjAKGAnAE6wdoBOMAcQRoBOsHbgRvBGsEbwRxBGsEhgLkAG4E5ABvBG4EjAJ0BIYCdATkAIYCdQR0BIwCdQR2BHQEdAR3BOQAdgR3BHQE5AB4BG8EdwR4BOQAdgSNAncEeAR5BG8EbwR5BHEEoQSNAnYEdwR6BHgEjQJ6BHcEeAR7BHkEegR7BHgEeQR8BHEEcQR8BGgEewSHAnkEeQSHAnwEegR9BHsEjQKeBHoEngR9BHoEoQRtAY0CbQGeBI0CogRtAaEEewR/BIcCfQR/BHsEogSgBG0BowSgBKIEbQGdBJ4EoASdBG0BngSYBH0EnQSYBJ4EfQSOAn8EmASOAn0EowTsB6AE3wDsB6MEoASfBJ0E7AefBKAEnQSbBJgEnwSbBJ0EmASZBI4CmwSZBJgE3wDtB+wHoQLtB98A7AfuB58E7QfuB+wHnwTvB5sE7gfvB58EmwTgAJkE7wfgAJsEoQLwB+0HJwXwB6EC7QfxB+4H8AfxB+0H7gekBO8H8QekBO4H7wecBOAApAScBO8HJwUiBfAHSAciBScFSAcjBSIFIgXyB/AH8AfyB/EHIwXzByIFIgXzB/IHIwVPB/MH8QdqAaQE8gdqAfEHagHzBKQEpATzBJwE8gegAmoB8wegAvIHTwchBfMH8wchBaACTwdTByEFoAIdBWoBagEdBfMEIQUeBaACoAIeBR0FUwcfBSEFIQUfBR4FUwcgBR8FIAUcBR8FIAVUBxwFHwVnAR4FHwUcBWcBHgUbBR0FHgVnARsFHQUbBWkBHQVpAfMEVAf0BxwFVAdVB/QHHAXaAGcBHAX0B9oAZwEaBRsFZwHaABoFGwWTAmkBGwUaBZMCVQf1B/QHVQdWB/UH9AeYAtoA9Af1B5gC2gAZBRoF2gCYAhkFGgVmAZMCGgUZBWYBVgcXBfUHVgdXBxcF9QeXApgC9QcXBZcCmAIUBRkFmAKXAhQFGQWWAmYBGQUUBZYCVwf2BxcFVwdYB/YHFwXZAJcCFwX2B9kAlwISBRQFlwLZABIFFAX8BJYCFAUSBfwEWAf3B/YHWAdcB/cHYQf3B1wH9gf3B6gC9geoAtkAYQfUAPcH1ACoAvcHZAfUAGEH2QCoAhEF2QARBRIF1AD4B6gC+AcRBagCZAf5B9QA+Qf4B9QAaAf5B2QHEgURBf4EEgX+BPwE+AcCBREFAgX+BBEF+QcPBfgHDwUCBfgHaAcNBfkHDQUPBfkHawcNBWgHawcJBQ0FCQX6Bw0FDQX6Bw8FCQVZAfoHDwX7BwIF+gf7Bw8FWQH8B/oH+gf8B/sHWQEBBfwHAQV6B/wH/Af9B/sH/Ad6B/0H+wdeAQIF+wf9B14BAgVeAf4EegemAv0Hegd8B6YC/Qf9BF4B/QemAv0EXgFkAf4EXgH9BGQB/AT+BGQB/ARkAZUClgL8BJUC/QT+B2QBlQJkAf4HpgL7BP0E/QT7BP4HpgKQBPsEfAeQBKYClgKVAvoEZgGWAvoElQL+B/gE+gSVAvgE+wT3BP4H+AT+B/cEkASnAvsE+wSnAvcEZgH6BPkEkwJmAfkE+gT4BJQC+QT6BJQC+AT3BIcBlAL4BIcBpwL/B/cEhwH3BP8HkwL5BJICaQGTApIC+QSUAtwAkgL5BNwAlAKHAfYE3ACUAvYEhwH/BwAI9gSHAQAIaQGSAvEE8wRpAfEE8wTxBJwE8QSSAvIEkgLcAPIEnATxBJEC8QTyBJECnASRAuAA3AD2BPQE8gTcAPQE9AT2BPUE9gQACPUE8gT0BIYBkQLyBIYB4ACRApoEkQKGAZoE4ACaBJkEhgH0BAEI9AT1BAEImgSGAQIIhgEBCAIImQSaBG4BmgQCCG4BmQRuAY4CjgJuAZcEjgKXBH8EbgECCJYEbgGWBJcEAggBCJACAgiQApYEAQjhAJACAQj1BOEAfwSXBIAEfwSABIcClwSWBIQBlwSEAYAElgSQApUElgSVBIQBkAKTBJUEkALhAJMEhwKABIMBhwKDAXwEgASEAYEEgASBBIMBhAGVBI8ChAGPAoEElQSSBI8ClQSTBJIEfASDAX4EfAR+BGgEgwGBBOIAgwHiAH4EgQSPAngCgQR4AuIAjwKFAXgCjwKSBIUBaAR+BH0CaAR9AuMA4wB9AmUEfgR5An0CfgTiAHkCfQJnBGUEfQJ5AmcEZQRnBOkAZQTpAHoC4gCDBHkC4gB4AoMEeQKCBGcEeQKDBIIEZwR1AukAZwSCBHUCegLpAAMIegIDCGIE6QB1AgQI6QAECAMIggSEBHUCYgQDCAUIYgQFCEMEQwQFCH8BAwgGCAUIAwgECAYIBQh2An8BBQgGCHYCfwF2Aj8EfwE/BEAEQAQ/BHcCPwSAAXcCPwQ8BIABdgI8BD8EPARwAoABBgg9BHYCdgI9BDwEPAQ7BHACPQQ7BDwEOwTrAHACBgiBAT0EBAiBAQYIPQRvAjsEgQFvAj0EOwQ6BOsAbwI6BDsEOQTrADoEOQQ0BOsABAgHCIEBdQIHCAQIgQE+BG8CBwg+BIEBdQKEBAcIPgQICG8CbwIICDoEBwgJCD4EhAQJCAcIPgSCAQgICQiCAT4EawI6BAgIawI5BDoECggICIIBCghrAggICQgLCIIBDAgKCIIBDAiCAQsI7AALCAkIhATsAAkIbQIMCAsIcwLsAIQEggRzAoQEgwRzAoIE7ACHBAsIbQILCIcEcwKGBOwAhgSHBOwAgwSFBHMChQSGBHMCeAKFBIMEeAKFAYUEhQRyAoYEhQFyAoUEhgQNCIcEcgINCIYEhQGIBHICDgiHBA0IDghtAocEkgSIBIUBcgJuAg0IiARuAnICGwAOCA0IGwANCG4CkgSRBIgEkwSRBJIEiASLBG4CkQSLBIgEigQbAG4CigRuAosEkwR0ApEE4QB0ApMEkQRxAosEdAJxApEEjASKBIsEjASLBHEC4QCUBHQC9QSUBOEA9QQACJQElAQPCHQCdAIPCHECAAjbAJQElATbAA8IAAj/B9sAiAFxAg8IiAGMBHECEAgPCNsAEAiIAQ8IEQjbAP8HEQgQCNsApwIRCP8H1gARCKcCkATWAKcCEggQCBEI1gASCBEIEwiIARAIEggTCBAIEwiOBIgBjgSMBIgBFAjWAJAEfAcUCJAE/wQUCHwHFAiPBNYAjwQSCNYA/wRXARQIVwGPBBQIewdXAf8EewctBFcBLQQVCFcBVwEVCI8ELQS9BxUIjwQWCBIIFQgWCI8EFggTCBIIvQcXCBUIFQgXCBYIvQe+BxcIFggYCBMIFwgYCBYIGAiOBBMIvgdWARcIFwhWARgIvgcoBFYBGAgZCI4EVgEZCBgIKASNBFYBVgGNBBkIKATAB40EGQgaCI4EjgQaCIwEGgiKBIwEGQgbCBoIjQQbCBkIGgiJBIoEGwiJBBoIiQQbAIoEjQRqAhsIwAdqAo0EGwgcCIkEagIcCBsIiQRsAhsAHAhsAokEbAIOCBsAwAcdCGoCvwcdCMAHvwcpBB0IHQiJAWoCagKJARwIKQQeCB0IHQgeCIkBKQRjAh4IJgRjAikEHAgfCGwCiQEfCBwIbAI4BA4IHwg4BGwCOARtAg4IiQErBB8IHggrBIkBHwggCDgEKwQgCB8IOASKAW0CIAiKATgEigEMCG0CHgghCCsEYwIhCB4IKwQ2BCAIIQg2BCsEIAg3BIoBNgQ3BCAIigEiCAwINwQiCIoBIggKCAwIIggjCAoIIwhrAgoINwQkCCIIJAgjCCIINgQlCDcEJQgkCDcEJgglCDYEIQgmCDYEIwiMAWsCjAE5BGsCJAgnCCMIJwiMASMIJQgoCCQIKAgnCCQIJgjuACUI7gAoCCUIjAEzBDkEMwQ0BDkEMwTtADQENQQzBIwBJwg1BIwBKQjtADMENQQpCDMEKQgqCO0AaQI1BCcIKAhpAicIKwgpCDUEaQIrCDUEMQQqCCkIKwgxBCkIMQRoAioILAhpAigI7gAsCCgILQgrCGkCLAgtCGkCMgQxBCsILQgyBCsILghoAjEEMgQuCDEELggvCGgCZwIvCC4IZwIwBC8IMAguCDIEMAhnAi4ILgQyBC0ILgQwCDIEMQguBC0IMQgtCCwILwQwBGcCLwQyCDAEMwgyCC8EMwjvADIINAgzCC8ENQgvBGcCNAgvBDUINQhnAjAIiwE0CDUIZgI1CDAIiwE1CGYCZgIwCC4ENgiLAWYCNwhmAi4ENghmAjcINwguBDEIOAg2CDcIOAg3CDkIOQg3CDEIZQI4CDkIOQgxCDoIOggxCCwIOggsCO4AZQI5CCwELAQ5CDoIOwhlAiwEZAI6CO4ALAQ6CGQCZALuACYIOwgsBCoEKgQsBGQCGAA7CCoEPAhkAiYIKgRkAjwIPAgmCCEIYwI8CCEIPQgqBDwIPQg8CGMCGAAqBD0IJgQ9CGMCwwcYAD0Iwwc9CCYEMAUxBTIFMgUxBTMFMgUzBY4BMAWyAjEF8ACyAjAFjgEzBY8BjgGPAbMCswKPATQFswI0BSEAjwGQATQFjwG0ApABMwW0Ao8BtAI1BZABMwW1ArQCMQW1AjMFtAKUATUFtQKUAbQClAH0ADUFMQU2BbUCsgI2BTEFtQI3BZQBNgU3BbUClAHCAvQANwXCApQBwgLDAvQAwgLEAsMCxAI4BcMCNwXzAMIC8wDEAsICNgU5BTcFOQXzADcFtwI5BTYFsgK3AjYFxALFAjgFxQLGAjgF8wDBAsQCwQLFAsQCOQU6BfMAOgXBAvMAtwK9AjkFvQI6BTkFxQL2AMYCwQLHAsUCxwL2AMUC9gAgAMYCOwXHAsECOgU7BcECxwI8BfYAvQI9BToFPQU7BToFOwU+BccCPgU8BccCPQU/BTsFPwU+BTsFPAXSAvYA9gDSAiAAPgVABTwFPAWaAdICQAWaATwFyAJABT4FPwXIAj4FQAVBBZoByALOAkAFzgJBBUAFlwHOAsgCyQLIAj8FyQKXAcgClQHJAj8FlQE/BT0FlgGXAckCwALJApUBwAKWAckC8QCVAT0F8QA9Bb0CvgLAApUBvgKVAfEAvwKWAcACkwHAAr4CkwG/AsACkgHxAL0CvAK/ApMBQgW8ApMBvALyAL8CQgWTAbsCuwKTAb4CQwVCBbsCkgG9ArcCugK+AvEAugLxAJIBuwK+AroCQwW7ArkCuQK7AroCHwBDBbkCHwC5ArgCuQK6ApEBuAK5ApEBkQG6ApIBuAKRAbYCkQGSAY0BtgKRAY0BjQGSAbcCtgKNAfAAjQG3ArIC8ACNAbICzgJEBUEF9QBEBc4ClwH1AM4CRAVFBUEFywL1AJcBlgHLApcB9QCZAUQFygLLApYBvwLKApYB8gDKAr8C8gBGBcoCRgXMAsoCygLMAssCRgVHBcwCywLPAvUAzALPAssCzwKZAfUARwWYAcwCzAKYAc8CRwXNApgBzwLRApkBmAHRAs8CzQLQApgBmAHQAtECzQIiANAC0QKbAZkB0ALVAtEC0QLVApsBIgDXAtAC0ALXAtUCIgBIBdcCAQNIBSIAmQGbAdMCmQHTAkQFRAXTAkUFAQOnAUgFSQWnAQEDSQVKBacBSwVKBUkFpwFMBUgFSwWpAUoF+ACpAUsF+AD+AqkBSgVNBacBpwFNBUwFqQEAA0oFSgUAA00F/gJOBakBqQFOBQAD/gJPBU4FTwWoAU4FTwVQBagBUAX/AqgBUAUlAP8CqAH/AlEFTgWoAVIFqAFRBVIFTgVSBQADUgVRBVMFAANSBQIDUgVTBQIDAAMCA00FAgNTBSYATQUCA6YBAgMmAKYBTQWmAUwFpgEmAN0CTAWmAdsCpgHdAtsCJgDfAt0CJgBUBd8CVAXiAt8CVAVVBeICTAXbAqIBSAVMBaIBSAWiAdcCVQXlAuICVQXjAuUC4wLkAuUC4wIoAOQC5QLkAuYC5QLmAvwA4gLlAvwA/ADmAv0A4gL8AOEC3wLiAuEC/AD9AOcC4QL8AOcC5wL9AFYF3wLhAqoB3QLfAqoB4QLnAuACqgHhAuAC5wJWBawB4ALnAqwBrAFWBVcF3QKqAdwC2wLdAtwCqgHgAt4C3AKqAd4C2wLcAqUBogHbAqUB3ALeAvoApQHcAvoA3gLgAugC4AKsAegC+gDeAqsB3gLoAqsBKgDoAqwBJwDoAioAJwCrAegCKgCsASkALgCrAScAKQCsAekCrAFXBekCKQDpAiwA6QJXBa0BLADpAv4A6QKtAf4ALAD+AC0A/gCtAeoCLQD+AOwCLQDsAi8A/gDqAu0C7AL+AO0C7QLqAisA7QIrAO4C7wLtAu4C7ALtAu8C7wLuAlgFLwDsAvsA+wDsAu8CLwD7ADAA8QLvAlgF+wDvAvEC8QJYBfACMAD7AOsCMADrAi4ALgDrAqsB8gLxAvAC8gLwAiMApAH7APECpAHxAvICWQXrAvsAWQX7AKQBWgWrAesCWgXrAlkF+gCrAVoFowH6AFoFpQH6AKMB2QJaBVkFowFaBdkCWwVZBaQB2QJZBVsFWwWkAVwFXAWkAfIC2AKlAaMBogGlAdgC1wKiAdgC1wLYAtUC2AKjAfcA1QLYAvcA9wCjAdkC1QL3AJsB9wDZAtYCmwH3ANYC1gLZAlsFmwHWAtMC1gJbBV0F0wLWAl0FXQVbBVwF0wJdBUUFXQVcBdQCRQVdBdQC1AJcBdoCXAXyAtoC2gLyAiMARQXUAl4FQQVFBV4FQQVeBZoBXgXUAp0B1ALaAp0BmgFeBZwBXgWdAZwBmgGcAdIC2gIjAF8FnQHaAl8FXwUjAPQCnAGdAfMCnQFfBfMC0gKcAWAFnAHzAmAF0gJgBSAAXwX0AqEB8wJfBaEBoQH0AmEFYAXzAvUC8wKhAfUCIABgBZ4BYAX1Ap4BIACeAfgCoQFhBfYC9QKhAfYC9gJhBfcCngH1AvkC9QL2AvkC+AKeAfsCngH5AvsC+AL7AmIF9gL3AvoC+QL2AvoC+gL3AiQA+gIkAGMF+QL6Av0C/QL6AmMF+wL5Av0C/QJjBaABYgX7Ap8B+wL9Ap8BnwH9AqABYgWfAfwCnwGgAWQF/AKfAWQF/AJkBfkAPgg/CAABAAE/CGUFAAFlBQQDPggDAz8IaAUDAz4IBANlBWYFBANmBUAIQAhmBWcFQAhnBTkAZgVBCGcFZgVCCEEIZQVCCGYFQghDCEEIZQWuAUIIPwiuAWUFQghECEMIrgFECEIIRAivAUMIPwhFCK4BAwNFCD8IrgFpBUQIRQhpBa4BRAhGCK8BaQVGCEQIRghHCK8BRghvBUcIbwVwBUcIaQUIA0YICANvBUYIRQhICGkFSAgIA2kFagVICEUIAwNqBUUIbwVJCHAFSQhKCHAFCANLCG8FSwhJCG8FSAhMCAgDTAhLCAgDagVuBUgIbgVMCEgISQhNCEoISwhOCEkITghNCEkITQgxAEoIcQVOCEsITAhxBUsITggbA00IbgWyAUwIsgFxBUwIcQUKA04ICgMbA04IsgFPCHEFTwgKA3EFGwNQCE0ITQhQCDEACgN1BRsDGwN2BVAIdQV2BRsDUQh1BQoDTwhRCAoDdQW3AXYFUQhSCHUFUgi3AXUFFwNSCFEIcgVRCE8IcgUXA1EIUwhyBU8IUwhPCLIBVAgXA3IFVQhyBVMIVQhUCHIFVghTCLIBVgiyAW4FBwNVCFMIBwNTCFYIVwhUCFUIWAhVCAcDWAhXCFUIWQhWCG4FWQhuBWoFWggHA1YIWghWCFkIWwhYCAcDWwgHA1oIXAhZCGoFXAhqBQMDaAVcCAMDXQhcCGgFXghZCFwIXQheCFwIXghaCFkIXwheCF0IYAhaCF4IXwhgCF4IYAhbCFoIYQhgCF8IYQhiCGAIYghbCGAIYwhiCGEIYghkCFsIZAhYCFsIYwhlCGIIZQhkCGIIZghlCGMIZAhnCFgIZwhXCFgIZQhoCGQIaAhnCGQIZghpCGUIaQhoCGUIaghpCGYIaghrCGkIBQNrCGoIaQhsCGgIawhsCGkIaAhtCGcIbAhtCGgIbQhuCGcIZwhuCFcIBQNvCGsIcAhvCAUDawhxCGwIbwhxCGsIbAhyCG0IcQhyCGwIbQhzCG4IcghzCG0IcAgGA28IAQEGA3AIbwh0CHEIBgN0CG8IcQh1CHIIdAh1CHEIcgh2CHMIdQh2CHIIAQF3CAYDeAh3CAEBBgNrBXQIdwhrBQYDdAh5CHUIawV5CHQIdQh6CHYIeQh6CHUIeAhsBXcIdwh7CGsFbAV7CHcIbQVsBXgIewh8CGsFawV8CHkIeQh9CHoIfAh9CHkIfQh+CHoIewh/CHwIfAiACH0IfwiACHwIgAiBCH0IfQiBCH4Ifwh0BYAIggh/CHsIbAWCCHsIggiDCH8Igwh0BX8IhAiCCGwFbQWECGwFhQiDCIIIhAiFCIIIdAWGCIAIgAiGCIEIgwiHCHQFhQgJA4MICQOHCIMIdAWICIYIhwiICHQFhgiLBYEIiAiJCIYIhgiJCIsFgQiLBYoIgQiKCH4IiQiLCIsFiwWMCIoIiwWLCIwIfgiKCI0IigiMCI4IigiOCI0IfgiNCI8Iegh+CI8IegiPCHYIdgiPCHMFdghzBXMIjwiNCJAIjwiQCHMFjQiOCJEIjQiRCJAIcwhzBZIIcwiSCG4IcwWQCLYBcwW2AZIIkAiRCJMIkAiTCLYBbgiSCJQIbgiUCFcIVwiUCFQIkgiVCJQIkgi2AZUIlAiWCFQIlAiVCJYIVAiWCBcDtgGXCJUItgGTCJcIlQiYCJYIlQiXCJgIlggYAxcDlgiYCBgDFwMYA1IIGAOZCFIIUgiZCLcBmAh4BRgDGAN4BZkIlwiaCJgImAiaCHgFlwibCJoIkwibCJcImggdA3gFkwicCJsIkQicCJMImwidCJoImgidCB0DnAieCJsImwieCJ0IkQifCJwIjgifCJEInAigCJ4InwigCJwIjgihCJ8IjAihCI4InwiiCKAIoQiiCJ8IjAijCKEIiwijCIwIoQikCKIIowikCKEIogilCKAIpAimCKIIogimCKUIoAilCKcIoAinCJ4InginCKgIngioCJ0IpQipCKcIpgiqCKUIpQiqCKkInQioCKsInQirCB0DpwisCKgIpwipCKwIqAitCKsIqAisCK0IHQOrCJMFqwitCAcBqwgHAZMFHQOTBa4IeAUdA64IeAWuCJkImQiuCHkFmQh5BbcBrgiTBa8IrgivCHkFkwUHAbAIkwWwCK8ItwF5BbEItwGxCHYFeQWvCBwDeQUcA7EIrwiwCLkBrwi5ARwDdgWxCJQFdgWUBVAIsQgcA7IIsQiyCJQFHAO5AbMIHAOzCLIIUAiUBZUFUAiVBTEAlAWyCLQIlAW0CJUFsgizCLUIsgi1CLQIswgyALUItQgyALYIswi3CDIAuQG3CLMItwi4CDIAtQi2CB4DtAi1CB4DHgO2CLkItAgeA7oIlQW0CLoIHgO5CLsIuggeA7sIuwi5CLwIlQW6CJYFMQCVBZYFMQCWBb0IlgW6CL4Iugi7CL4IvQiWBb8IlgW+CL8IvQi/CJgFuwi8CMAIvgi7CMAIwAi8CDMAwAgzAJkFvgjACMEIwQjACJkFvwi+CMEIwQiZBcIImAW/CB8DvwjBCB8DHwPBCMIImAUfA8MIHwPCCMQIwwgfA8QIwwjECLoBuQHFCLcIsAjFCLkBxQiaBbcItwiaBbgImgXGCLgIsAiXBcUIBwGXBbAIxQggA5oFlwUgA8UImgXHCMYIIAPHCJoFxwjICMYIBwHJCJcFrQjJCAcBlwXKCCADyQjKCJcFIAPLCMcIygjLCCADxwjMCMgIywjMCMcIzAg1AMgIzAjNCDUAmwXNCMwIywibBcwImwUhA80IygicBcsInAWbBcsIIgMhA5sFnAUiA5sFIgMMASEDIwOcBcoIyQgjA8oIzggiA5wFIwPOCJwFzwgMASIDzgjPCCIDzwjQCAwB0QgjA8kIrQjRCMkIrAjRCK0I0QjSCCMD0gjOCCMDrAjTCNEI0wjSCNEIqQjTCKwI0gidBc4InQXPCM4I0wjUCNII1AidBdIIqQjVCNMI1QjUCNMIqgjVCKkIngXQCM8InQWeBc8IngWfBdAI1AjWCJ0F1gieBZ0F1wifBZ4F1gjXCJ4F1wjYCJ8F2QjWCNQI1QjZCNQI2gjXCNYI2QjaCNYI2wjYCNcI2gjbCNcI2wjcCNgI3QjZCNUIqgjdCNUI3gjaCNkI3QjeCNkI3wjbCNoI3gjfCNoI4AjcCNsI3wjgCNsI4AjhCNwI4gjdCKoIpgjiCKoI4wjeCN0I4gjjCN0I5AjfCN4I4wjkCN4I5QjgCN8I5AjlCN8I5gjhCOAI5QjmCOAI5gjnCOEI6AjnCOYI6AjpCOcI6gjmCOUI6gjoCOYI6wjlCOQI6wjqCOUI7AjrCOQI7AjkCOMI7QjpCOgI7QjuCOkI7wjoCOoI7wjtCOgIoAXqCOsIoAXvCOoIpQXrCOwIpQWgBesIJwPuCO0IJwMoA+4IoQXtCO8IoQUnA+0I8AjvCKAF8AihBe8I8QigBaUF8QjwCKAF8ggoAycD8gjzCCgD9AgnA6EF9AjyCCcDuwGhBfAIuwH0CKEFJQPwCPEIJQO7AfAIKQPzCPIIKQMLAfMIogXyCPQIogUpA/II9Qj0CLsB9QiiBfQI9gi7ASUD9gj1CLsB9wgLASkD9wj4CAsB+QgpA6IF+Qj3CCkD+giiBfUI+gj5CKIF+wj1CPYI+wj6CPUIKgP4CPcIKgOjBfgIKgO8AaMF/AgqA/cI/Aj3CPkIKgP9CLwB/Aj9CCoD/Qj+CLwBpAX8CPkIpAX5CPoI/Aj/CP0IpAX/CPwI/QgACf4I/wgACf0IAAkJAf4ICgGkBfoICgH6CPsIpAUrA/8ICgErA6QF/wgBCQAJKwMBCf8IAAmpBQkBAQmpBQAJqQWqBQkBKwMCCQEJAQkDCakFAgkDCQEJAwkECakFqQUECaoFAgm+AQMJpwUCCSsDCgGnBSsDpwUFCQIJBQm+AQIJAwkGCQQJvgEGCQMJrAWqBQQJrAUHCaoFCAkECQYJCAmsBQQJCQkHCawFCQktAwcJCgmsBQgJCgkJCawFCwktAwkJCwkMCS0DDQkJCQoJDQkLCQkJDgkMCQsJDgkPCQwJEAkLCQ0JEAkOCQsJLgMPCQ4JLgO/AQ8JtwUOCRAJtwUuAw4JEQm/AS4DEQkSCb8BEwkuA7cFEwkRCS4DuQUSCREJuQUUCRIJFQkUCbkFFQk0ABQJugUVCbkFFgm5BREJugW5BRYJFgkRCRMJFwm6BRYJFwkWCRgJGAkWCRMJNgAXCRgJGAkTCbgFuAUTCbcFNgAYCRkJGQkYCbgFuAW3BS8DLwO3BRAJGQm4BRoJGgm4BS8DGwk2ABkJtAUZCRoJGwkZCbQFLwMQCRwJHAkQCQ0JGgkvAwgBCAEvAxwJtAUaCR0JHQkaCQgBHAkNCR4JHgkNCQoJCAEcCR8JHwkcCR4JHQkIATADMAMIAR8JHgkKCSAJIAkKCQgJHwkeCSEJIQkeCSAJMAMfCSIJIgkfCSEJIAkICSwDLAMICQYJIQkgCSMJIwkgCSwDIgkhCSQJJAkhCSMJLAMGCSUJvgElCQYJIwksAyYJJgksAyUJJAkjCScJJwkjCSYJJgklCSgJKQklCb4BKQkoCSUJBQkpCb4BtgUmCSgJtgUoCSkJJwkmCbYFqAUpCQUJqAW2BSkJKgknCbYFKgm2BagFKwknCSoJKwkkCScJLAmoBQUJLAkFCacFvQEqCagFvQGoBSwJLQkrCSoJLQkqCb0BtQUkCSsJtQUiCSQJqwUrCS0JqwW1BSsJMQMiCbUFMQMwAyIJLgm1BasFLgkxA7UFLwkwAzEDLwkdCTADrwUxAy4JrwUvCTEDMAkdCS8JMAm0BR0JwAEvCa8FwAEwCS8JMgO0BTAJMgMbCbQFMQkwCcABMQkyAzAJMgnAAa8FMwkxCcABMwnAATIJMgmvBTQJNAmvBS4JNQkzCTIJNgkyCTQJNQkyCTYJNAkuCTcJNwkuCasFNgk0CTgJOAk0CTcJsAU1CTYJGgM2CTgJsAU2CRoDNwmrBTkJOQmrBS0JOAk3Ca0FrQU3CTkJGgM4Ca4FrgU4Ca0FOQktCToJOgktCb0BrQU5CTsJOwk5CToJrgWtBTwJPAmtBTsJOgm9AT0JPQm9ASwJOwk6CT4JPgk6CT0JPAk7CQYBBgE7CT4JPQksCT8JPwksCacFPwmnBQoBQAk9CT8JPgk9CUAJJgM/CQoBQAk/CSYDQQk+CUAJBgE+CUEJQglACSYDQQlACUIJJgMKAaYFpgUKAfsIQgkmA5EFkQUmA6YFQwlBCUIJRAlCCZEFQwlCCUQJpgX7CEUJRQn7CPYIkQWmBUYJRgmmBUUJRAmRBUcJRwmRBUYJRQn2CEgJSAn2CCUDRglFCUkJSQlFCUgJRwlGCbgBuAFGCUkJSAklA0oJSgklA/EISQlICUsJSwlICUoJuAFJCUwJTAlJCUsJSgnxCCQDJAPxCKUFSwlKCU0JTQlKCSQDTAlLCU4JTglLCU0JJAOlBU8JTwmlBewITQkkA5IFkgUkA08JTglNCVAJUAlNCZIFTwnsCFEJUQnsCOMIUQnjCOIIUglPCVEJkgVPCVIJUwlRCeIIUglRCVMJUwniCKYIpAhTCaYIVAlTCaQIVAlSCVMJowhUCaQIVQmSBVIJVQlSCVQJUAmSBVUJVglUCaMIVglVCVQJiwhWCaMIVwlQCVUJVwlVCVYJWAlWCYsIWAlXCVYJiQhYCYsIWQlQCVcJWQlOCVAJdwVXCVgJdwVZCVcJWglYCYkIWgl3BVgJiAhaCYkIWwlOCVkJWwlMCU4JXAlZCXcFXAlbCVkJXQl3BVoJXQlcCXcFXglaCYgIXgldCVoJhwheCYgIXwlMCVsJXwm4AUwJYAlbCVwJYAlfCVsJYQlcCV0JYQlgCVwJYgldCV4JYglhCV0JYwleCYcIYwliCV4JCQNjCYcIZAlhCWIJZQlgCWEJZAllCWEJZQlmCWAJZglfCWAJZwliCWMJZwlkCWIJaAljCQkDaAlnCWMJsAFoCQkDsAEJA4UIaQlnCWgJegWwAYUIegWFCIQIagloCbABaglpCWgJawmwAXoFawlqCbABbAl6BYQIbAmECG0FbQlrCXoFbQl6BWwJbglqCWsJbwlrCW0JbwluCWsJbQUNA2wJbQWxAQ0DbAl7BW0JbAkNA3sFbQlwCW8JbQl7BXAJsQF9BQ0DsQFxCX0FDQNyCXsFDQN9BXIJewVzCXAJewVyCXMJcQl+BX0FcQkCAX4FAgF0CX4FAgF/BXQJfgV0CRADfQV+BXUJfgUQA3UJfQV1CXIJdQkQA3YJcgl1CXcJdQl2CXcJcgl3CXMJdwl2CXgJdwl4CXkJcwl3CXkJeQl4CbQBcwl5CYEFcAlzCYEFeQm0AYAFgQV5CYAFgAW0AXoJcAmBBXwFbwlwCXwFgQWABQ8DfAWBBQ8DgAV6CXsJDwOABXsJewl6CXwJbwl8BX0JfQluCW8JfAUPA7MBfQl8BbMBDwN7CX4JswEPA34Jewl8CX8Jfgl7CX8Jfwl8CToAfwk6AIAJtQF/CYAJfgl/CbUBtQGACREDswF+CYIFggV+CbUBgQm1AREDggW1AYEJgQkRA4IJgwmzAYIFfQmzAYMJhAmCBYEJgwmCBYQJhQmBCYIJhAmBCYUJhQmCCYYJgwmHCX0JfQmHCW4JhAmICYMJgwmICYcJhQmJCYQJhAmJCYgJhgkSA4UJhQkSA4kJhgmKCRIDhwmLCW4JbgmLCWoJiwlpCWoJhwkMA4sJiAkMA4cJiwmMCWkJDAOMCYsJiAmDBQwDiQmDBYgJDAP/AIwJgwX/AAwDjAmIBWkJaQmIBWcJiAVkCWcJjAmNCYgF/wCNCYwJiAWOCWQJjQmOCYgFjgllCWQJjgmPCWUJjwlmCWUJjQkLA44JCwOPCY4J/wCHBY0JhwULA40JhgWHBf8AgwWGBf8AhwWQCQsDhAWGBYMFiQmEBYMFEgOEBYkJhgUOA4cFDgOQCYcFhAWRCYYFkQkOA4YFEgOSCYQFkgmRCYQFigmSCRIDigmTCZIJkwmFBZIJkgmFBZEJkwkTA4UFkQmUCQ4DhQWUCZEJEwOVCYUFhQWVCZQJEwMDAZUJlAmJBQ4DDgOJBZAJlQmWCZQJlAmWCYkFAwGKBZUJlQmKBZYJAwGXCYoFlwmYCYoFlwmZCZgJigWaCZYJigWYCZoJlgkUA4kFlgmaCRQDiQUUA4wFiQWMBZAJmQkVA5gJmQmbCRUDmAmcCZoJmAkVA5wJmgmNBRQDmgmcCY0FFAMEAYwFFAONBQQBmwmdCRUDmwk3AJ0JFQOeCZwJFQOdCZ4JnAkWA40FnAmeCRYDjQWOBQQBjQUWA44FBAGOBZ8JnQmgCZ4JngmQBRYDngmgCZAFFgOPBY4FFgOQBY8FjgWPBUMJjgVDCZ8JjwVBCUMJjwUGAUEJkAUGAY8FkAU8CQYBoAk8CZAFnwlDCUQJoAmuBTwJoQmuBaAJnQmhCaAJoQkaA64FNwChCZ0JogkaA6EJNwCiCaEJogmwBRoDowmiCTcAowmkCaIJpAmwBaIJpQmkCaMJpAmxBbAFpQmmCaQJpgmxBaQJpwmmCaUJsQU1CbAFpwmyBaYJBQGyBacJBQE0A7IFsgWoCaYJpgmoCbEFNAOpCbIFsgWpCagJNAOqCakJsQWrCTUJqAmrCbEFqwkzCTUJqQmsCagJqAmsCasJqgmtCakJqQmtCawJqgmuCa0JqwmvCTMJrAmvCasJrwkxCTMJrQmwCawJrAmwCa8JrgmxCa0JrQmxCbAJrgmyCbEJrwmzCTEJsAmzCa8JswkyAzEJsQm0CbAJsAm0CbMJsgm1CbEJsQm1CbQJsgm2CbUJswm3CTIDtAm3CbMJtwkbCTIDtQm4CbQJtAm4CbcJtgm5CbUJtQm5CbgJtgkzA7kJtwm6CRsJuAm6CbcJugk2ABsJugm7CTYAuAm8CboJvAm7CboJuQm8CbgJvAmzBbsJMwO9CbkJuQm9CbwJvQmzBbwJMwO+Cb0JvQm/CbMFvgm/Cb0Jvgk4AL8JnwlECRkDGQNECUcJwAmfCRkDBAGfCcAJjAUEAcAJGQNHCcEJwQlHCbgBwQm4AV8JZgnBCV8JwgkZA8EJwgnBCWYJwAkZA8IJjwnCCWYJjAXACcMJwwnACcIJwwnCCY8JkAmMBcMJCwPDCY8JkAnDCQsDDQG8BcQJDQHFCbwFxgkNAcQJxQnHCbwFxQm7BccJxgnECTYDyAnGCTYDxAm8BTUDyAk2A8kJygnICckJNgPECcsJxAk1A8sJyQk2A8MFNgPLCcMFygnJCcwJzQnKCcwJyQnDBc4JzAnJCc4JzQnMCc8J0AnNCc8JzAnOCdEJzwnMCdEJ0AnPCdIJ0wnQCdIJzwnRCdQJ0gnPCdQJ0wnSCdUJvwXTCdUJ0gnUCdYJ1QnSCdYJvwXVCdcJ2Am/BdcJ1QnWCdkJ1wnVCdkJ2AnXCdoJEAHYCdoJ1wnZCdsJ2gnXCdsJEAHaCdwJ3QkQAdwJ2gnbCd4J3AnaCd4J3QncCcAF3wndCcAF3AneCeAJwAXcCeAJ3wnABeEJwAXgCcYB4QnABcYBwQXfCeEJxgHgCeIJ4AneCeMJ4AnjCeIJ3gnkCeMJ3gnbCeQJ2wnlCeQJ2wnZCeUJ4wnkCeYJ4gnjCecJ4wnmCecJ5AnoCeYJ5AnlCegJ2QnpCeUJ2QnWCekJ5QnqCegJ5QnpCeoJ1gnrCekJ1gnUCesJ6QnsCeoJ6QnrCewJ1AntCesJ1AnRCe0J6wnuCewJ6wntCe4J0QnvCe0J0QnOCe8J7QnwCe4J7QnvCfAJzgnxCe8JzgnDBfEJ7wnyCfAJ7wnxCfIJwwUOAfEJwwXLCQ4B8QnEAfIJ8QkOAcQBywnzCQ4Bywk1A/MJDgH0CcQBDgHzCfQJ8gnEAUEDxAH0CfUJxAH1CUED8glBA/YJ8AnyCfYJ8An2CfcJ7gnwCfcJ9glBA/gJ7gn3CfkJ7AnuCfkJ9wn2CckF9gn4CckF+Qn3CfoJ9wnJBfoJ7An5CfsJ6gnsCfsJ+Qn6CfwJ+wn5CfwJ6gn7Cf0J6AnqCf0J+wn8Cf4J/Qn7Cf4J6An9Cf8J5gnoCf8J/Qn+CQAK/wn9CQAK5gn/CQEK5wnmCQEK/wkACgIKAQr/CQIKAAr+CQMK5wkBCkADAgoACgQKAAoDCgQKAQoCCgUKQAMBCgUKAgoECgYKBQoCCgYKBwrnCUAD4gnnCQcKQAMFCggKCQriCQcKxgHiCQkKBwpAAwoKCgpAAwgKCQoHCgsKCwoHCgoKDArGAQkK4QnGAQwKxwUJCgsKDAoJCscFNwPhCQwKwQXhCTcD1wUMCscFNwMMCtcFxwULCsgFDQrBBTcD1wXHBQ4KDgrHBcgF2AU3A9cFDQo3A9gFDwrXBQ4K2AXXBQ8KwQUNCjgDwQU4A8cBEAoNCtgFEQrYBQ8KEArYBREKxwE4A9oFxwHaBRIKDQrZBTgDDQoQCtkFOAMTCtoFOAPZBRMKEgraBdsFEgrbBREBEQHbBTsDEQE7A9wF2wUUCjsD2gUVCtsF2wUVChQK2gUTChUKFQoWChQKFQoXChYKEwoXChUKFwoYChYKEwoZChcK2QUZChMKFwoaChgKGQoaChcKGgrJARgK2QUbChkKEAobCtkFGQrfBRoKGwrfBRkKGgrdBckB3wXdBRoK3QXeBckBEAocChsKHAoQChEKGwrgBd8FHArgBRsK3wU6A90F4AU6A98F3QUdCt4FOgMdCt0FHQoeCt4FHQofCh4KHwo+AB4KHwogCj4AIQofCh0KOgMhCh0KywEgCh8KIQrLAR8KywE8AyAKyAEhCjoD4AXIAToD4QXLASEKyAHhBSEKIgo8A8sB4QUiCssBIgojCjwDJArIAeAFHAokCuAFJQrhBcgBJAolCsgBJgoiCuEFJQomCuEFJwojCiIKJgonCiIKJwooCiMKJAocCikKHAoRCikKJQokCioKJAopCioKJgolCisKJQoqCisKJwomCiwKJgorCiwKKAonCuIFJwosCuIFKAriBS0KLQriBS4KLQouCi8K4gUsCuMF4gXjBS4KLAorCsoBLArKAeMFKwo5A8oBKwoqCjkDLwouCuQFLwrkBTAKLgrjBTEKLgoxCuQF4wXKAeUF4wXlBTEKygHWBeUFygE5A9YFMArkBTIKMAoyCswB5AUxCjMK5AUzCjIKMQrlBdUFMQrVBTMK5QU0CtUF5QXWBTQKzAEyCuYFzAHmBTUKMgozCjYKMgo2CuYFMwrVBT0DMwo9AzYK1QXTBT0D1QU0CtMFNQrmBTcKNQo3CjgK5gU2CjkK5gU5CjcKNgo9Az8DNgo/AzkKPQM6Cj8DPQPTBToKOAo3CkIDOApCAzsKNwo5CjwKNwo8CkIDOQo/A+cFOQrnBTwKPwPFAecFPwM6CsUBOwpCAz0KOwo9CkAAQgM8Cj4KQgM+Cj0KPArnBegFPAroBT4K5wUSAegF5wXFARIBPgroBc0BPQo+Cj8KPgrNAT8K6AXpBc0B6AUSAekFPQo/CkAKQAA9CkAKPwrNAe8FQABACkEKQgpAAEEKQAo/CvIFPwrvBfIFQQpAClgDQAryBVgDQgpBCkMKRApCCkMKQQpYA/UFQwpBCvUFRApDCkUKRgpECkUKQwr1BfYFRQpDCvYFRgpFClsD0AFGClsD0AFbA0cKWwNFCkgKRQr2BUgKRwpbA0kKWwNICkkKRwpJCkoKSgpJCksKSgpLCkwKSQpICk0KSQpNCksKSAr2BU4KSApOCk0K9gVPCk4K9gX1BU8KTApLClAKTApQClEKSwpNClIKSwpSClAKTQpOClMKTQpTClIKTgpUClMKTgpPClQKUQpQClUKUQpVClYKUApSClcKUApXClUKUgpTClgKUgpYClcKUwpZClgKUwpUClkKVgpVCloKVgpaCloDVQpXClsKVQpbCloKVwpYClwKVwpcClsKWApZA1wKWApZClkDWgNaCl0KWgNdCl4KXgpdCl8KXgpfCkQAXQr3BV8KWgpgCl0KXQpgCvcFWgpbCmAKYAphCvcFWwpiCmAKYApiCmEKWwpcCmIKYgpDAGEKXApjCmIKYgpjCkMAXApZA2MKYwpkCkMAWQP4BWMKYwr4BWQKWQNlCvgFWQplClkDQwBkCmYKQwBmCmcKWQrPAWUKVArPAVkKZQpoCvgFVAppCs8BTwppClQKzwFqCmUKZQpqCmgKaQr0Bc8BzwH0BWoKTwprCmkK9QVrCk8K9QVYA2sKawpsCmkKaQpsCvQFWANtCmsKawptCmwKWAPyBW0K8gVuCm0K8gXvBW4KbQpvCmwKbQpuCm8KbArxBfQFbApvCvEF9AXxBdEB9AXRAWoKbwpXA/EFbgpwCm8KbwpwClcDbgpxCnAK7wVxCm4KagrRAVQDagpUA2gK8QXzBdEB8QVXA/MF0QFyClQD0QHzBXIK7wVRA3EKzQFRA+8FzQHpBVEDUQNzCnEK6QV0ClEDUQN0CnMK6QXOAXQKEgHOAekFcQpzCnUKcQp1CnAKEgF2Cs4BxQF2ChIBzgF3CnQKxQF4CnYKOgp4CsUBdgp5Cs4BzgF5CncKeAp6CnYKdgp6CnkKOgo+A3gK0wU+AzoKeAp7CnoKPgN7CngK0wV8Cj4DNAp8CtMFPgN9CnsKfAp9Cj4DNArSBXwK1gXSBTQKfAp+Cn0K0gV+CnwK1gUPAdIFOQMPAdYF0gV/Cn4KDwF/CtIFOQOACg8BKgqACjkDKgopCoAKgAqBCg8BDwGBCn8KKQqCCoAKgAqCCoEKKQoRCoIKEQoPCoIKggoPCtQFggrUBYEKDwoOCtQFgQqDCn8KgQrUBYMK1AUOCoQK1AWECoMKDgrIBYQKfwqDCoUKfwqFCn4KgwqECoYKgwqGCoUKhArIBYcKhAqHCoYKyAWICocKyAULCogKCwoKCogKfgqFCokKfgqJCn0KhQqGCooKhQqKCokKiAoKCosKCgoICosKiAqLCs8FhwqICs8FhgqHCowKhgqMCooKhwrPBYwKiwoICo0KzwWLCo4KiwqNCo4KjArPBdAFzwWOCtAFigqMCo8KjArQBY8KigqPCpAKiQqKCpAKjwrQBZEKiQqQCpIKfQqJCpIKfQqSCnsKkAqPCpMKjwqRCpMKkgqQCtEFkAqTCtEFewqSCpQKkgrRBZQKewqUCnoKegqUCpUKegqVCnkKlArRBeoFlArqBZUK0QWTCpYK0QWWCuoFkwrrBZYKkwqRCusFeQqVCu0FeQrtBXcKlQrqBZcKlQqXCu0F6gWWCpgK6gWYCpcKlgqZCpgKlgrrBZkKlwqYCpoK7QWXCu4FlwqaCu4FmAqbCpoKmAqZCpsK7QXuBdcBdwrtBdcB7gWaCpwKdwrXAZ0KdAp3Cp0KdAqdCnMK1wHuBRYB7gWcChYBnQrXAZ4K1wEWAZ4KcwqdCp8KnQqeCp8KcwqfCnUKmgpOA5wKmgqbCk4DnApOA6AKdQqfCtQBnwqeCqEKnwqhCtQBngr6BaEKngoWAfoFFgGcCk0DnAqgCk0DdQrUAaIKcAp1CqIKcAqiClcDVwOiCqMKVwOjCvMFogrUAaQKogqkCqMK1AHwBaQK1AGhCvAF8wWjCqUK8wWlCnIKowqkCqYKowqmCqUKpArwBVIDpApSA6YKoQqnCvAFoQr6BacK8AX5BVID8AWnCvkFUgP5BagKpgpSA6kKUgOoCqkK+QWqCqgKqQqoCqoKpwpQA/kF+QVQA6oKpwqrClAD+gWrCqcKpgqpCqwKpQqmCqwKqQqqCtMBrAqpCtMBUAOtCqoK0wGqCq0KqwquClADUAOuCq0KpQqsCq8KcgqlCq8KrArTAbAKrwqsCrAK0wGtCrEKsArTAbEKrgqyCq0KsQqtCrIKcgqvCrMKVANyCrMKrwqwCrQKswqvCrQKsAqxCrUKtAqwCrUKsQqyCrYKtQqxCrYKtgqyCvsFtgr7BVMDtwr7BbIKrgq3CrIKtwoXAfsFuAq2ClMDtQq2CrgKuApTA7kKugq1CrgKtAq1CroKuwq4CrkKugq4CrsKuwq5CrwKvQq0CroKswq0Cr0Kvgq6CrsKvQq6Cr4Kvwq7CrwKvgq7Cr8Kvwq8CsAKGAGzCr0KVAOzChgBaApUAxgBGAG9ClYDVgO9Cr4KaAoYAcEKwQoYAVYD+AVoCsEK+AXBCmQKZArBCv4FwQpWA/4FZAr+BWYKVgO+CsIK/gVWA8IKwgq+Cr8KZgr+BcMK/gXCCsMKwgq/ClUDwwrCClUDVQO/CsAKVQPACtIBxApVA9IBwwpVA8QKxArSAf0FZgrDCsUKxQrDCsQKZwpmCsUKZwrFCgAGxQrECv8F/wXECv0FAAbFCv8F/wX9BcYKAAb/BccKxwr/BcYKxwrGCkEAvAXICjUDvAXHCcgKNQPICsIFNQPCBfMJxwnJCsgKyArKCsIFyArJCsoK8wnCBcQF8wnEBfQJwgXKCssKwgXLCsQFyQrMCsoKygrMCsEBygrBAcsKyQrNCswKywrBAc4KvQXNCskKxwm9BckKuwW9BccJvQW+Bc0KuwXPCr0Fzwq+Bb0Fzwo/AL4FywrOCsUFxAXLCsUFxQXOCsYFxAXFBcIB9AnEBcIB9AnCAfUJxQXGBdAKwgHFBdAK0ArGBdEK9QnCAdIKwgHQCtIK0ArRCtMK0grQCtMK0wrRCjsA9QnSCkQDQQP1CUQDQQNEA/gJRAPSCsMB0grTCsMB+AlEA8oFRAPDAcoF+AnKBdQKyQX4CdQKwwHTCtUK0wo7ANUKygXDAUYDwwHVCkYD1ArKBdYKygVGA9YKyQXUCkMD+gnJBUMD1ArWCswFQwPUCswF+glDA9cK/An6CdcKQwPMBdgK1wpDA9gK/AnXCtkK/gn8CdkK/gnZCgMK2QrXCs4F1wrYCs4FAwrZCtoK2QrOBdoKAwraCtsKBAoDCtsK2grOBdwKBArbCt0KBgoECt0K2wraCt4K2grcCt4K3QrbCt8K2wreCt8KBgrdCuAKzgXhCtwKzgXYCuEK3grcCuIK3QrfCuMK4ArdCuMK3wreCuQK3griCuQK4wrfCuUK3wrkCuUK3ArmCuIK3ArhCuYK5AriCucK5QrkCugK5ArnCugK4goRBucK4grmChEG6ArnCukK5woRBg4G5woOBukK5grqChEGEQbrCg4GEQbqCusK5goTAeoK4QoTAeYK4QpFAxMB2ApFA+EK2ArMBUUDzAXsCkUDzAXWCuwKRQPtChMBRQPsCu0KEwESBuoKEwHtChIG6goSBtoB6graAesK1grNBewK1gpGA80F7ApHA+0K7ArNBUcD7QoTBhIG7QpHAxMGEgZIA9oBEgYTBkgDRgPLBc0FRgPVCssFzQXuCkcDzQXLBe4KRwPvChMGRwPuCu8KEwbwCkgDEwbvCvAK1QoUBssF1Qo7ABQGywXxCu4KywUUBvEK7gryCu8K7grxCvIK7wo9APAK7wryCj0A8Ao9APMK8gr0Cj0A8ArzChAGSAPwChAGEAbzCg0G8goWBvQK8QoWBvIKFgYXBvQK8Qr1ChYGFAb1CvEKFgb2ChcG9Qr2ChYG9gr3ChcGFAb4CvUKOwD4ChQGOwD5CvgK+Ar6CvUK9Qr6CvYK+Qr7CvgK+Ar7CvoK+QoVBvsK9goaBvcK+goaBvYKGgY8APcKGgYZBjwA+gr8ChoG/AoZBhoG+wr8CvoK/Ar9ChkGFQYYBvsK+woYBvwKGAb9CvwKFQb+ChgGGAb/Cv0K/gr/ChgG/grcAf8K6woAC0kD6wraAQALDgbrCkkD2gEPBgAL2gFIAw8GSAMQBg8GDwYQBgELEAYNBgELAQsNBgILDwYBC9sBAAsPBtsBAQsCCwML2wEBCwMLAwsCC0IAAwtCAAQLDAYDCwQL2wEDCwwGDAYECwoGAAvbAQULBQvbAQwGSQMACwULBgsMBgoGBQsMBgYLBgsKBgcLSQMFCwsGCwYFCwYLSgMGCwcLCwYGC0oDSgMHCxQBCAtJAwsGDgZJAwgL6QoOBggLCAsLBgkLCQsLBkoD6QoICwoLCgsICwkLCwtKAxQBCQtKAwsLCwsUAQwLCgsJCw0LDQsJCwsLDgvpCgoL6ArpCg4LDwsLCwwLDQsLCw8LDwsMCxALEQsKCw0LDgsKCxELEgsNCw8LEQsNCxILEwsPCxALEgsPCxMLEwsQCxQLFQsTCxQLFQsUCxYLFwsSCxMLFwsTCxULGAsRCxILGAsSCxcLGQsRCxgLGQsOCxELGgsVCxYLGgsWCxsLHAsXCxULHAsVCxoLHQsYCxcLHQsXCxwLHgsZCxgLHgsYCx0LHwsaCxsLHwsbCyALIQscCxoLIQsaCx8LIgsdCxwLIgscCyELIwseCx0LIwsdCyILBwYfCyALBwYgCwUGCAYhCx8LCAYfCwcGCQYiCyELCQYhCwgGJAsjCyILJAsiCwkGJQsHBgUGJQsFBiYLJwsIBgcGJwsHBiULKAsJBggGKAsIBicLTAMkCwkGTAMJBigLBAYlCyYLBAYmCxUBSwMnCyULSwMlCwQG2AEoCycL2AEnC0sDoArYAUsDKQsoC9gBKQtMAygLTgPYAaAKTgMpC9gBmwopC04DoApLAyoLKgtLAwQGTQOgCioLmworCykLKwtMAykLmQorC5sKKwvZAUwDmQrsBSsL7AXZASsL6wXsBZkK2QEkC0wD6wUsC+wFkQosC+sF7AUtC9kBLAstC+wF2QEuCyQLLQsuC9kBLgsjCyQLkQovCywL0AUvC5EK0AWOCi8LLwswCywLLAswCy0LjgoxCy8LLwsxCzALjgqNCjELLQsyCy4LMAsyCy0LLgszCyMLMgszCy4LMwseCyMLMAs0CzILMQs0CzALMgs1CzMLNAs1CzILMws2Cx4LNQs2CzMLNgsZCx4LMQs3CzQLjQo3CzELNAs4CzULNws4CzQLNQs5CzYLOAs5CzULNgs6CxkLOQs6CzYLOgsOCxkLOgvoCg4L5QroCjoLOQvlCjoL4wrlCjkLOAvjCjkL4ArjCjgLNwvgCjgLOwvgCjcLjQo7CzcLOwsGCuAKCAo7C40KBQoGCjsLCAoFCjsLFgHVAfoF+gXVAasKFgEGBtUBFgFNAwYG1QE8C6sKqwo8C64KPAu3Cq4K1QE9CzwLBgY9C9UBPAv8BbcKPQv8BTwL/AUXAbcK/AU+CxcBPws+C/wFPQs/C/wFPwvWAT4LBgYBBj0LAQY/Cz0LAgbWAT8LAQYCBj8LAgYDBtYBAgZACwMGAgZPA0ALAQZPAwIGTwNBC0ALBgZCCwEGAQZCC08DBgZNA0ILTQMqC0ILQgtDC08DTwNDC0ELQgsqC0MLQwsVAUELKgsEBkMLQwsEBhUBRAtFC90B3QFFC94B3QHeARsGRAtcA0ULRgtcA0QLGwbeAWEDGwZhA14DXgNhAx0GXgMdBkcAYQNHCx0GYQMeBkcL3gEeBmEDHgZIC0cL3gEfBh4GRQsfBt4BHgZjA0gLHwZjAx4GYwPfAUgLRQtJCx8GXANJC0ULHwYiBmMDSQsiBh8GYwMgBt8BIgYgBmMDIAYhBt8BIAZmAyEGZgNKCyEGIgYkBiAGJAZmAyAGSQtiAyIGYgMkBiIGIwZiA0kLXAMjBkkLZgMlBkoLJQZLC0oLJAbiAWYD4gElBmYDYgPhASQG4QHiASQGIwZMC2IDTAvhAWIDJQYuBksL4gEmBiUGJgYuBiUGLgZGAEsLTQsmBuIB4QFNC+IBJgYbAS4GTAtOC+EBTgtNC+EBTQtPCyYGTwsbASYGTgtlA00LZQNPC00LGwEvBi4GLgYvBkYATwtQCxsBGwEtBi8GUAstBhsBKwZQC08LZQMrBk8LUAtRCy0GKwZnA1ALZwNRC1ALUgtnAysGUwsrBmUDUwtSCysGVAtTC2UDVAtlA04LVQtSC1ML4AFTC1QL4AFVC1MLVgtUC04LVgtOC0wLJwbgAVQLJwZUC1YLVwtVC+ABYAPgAScGYANXC+ABWAtWC0wLKQZXC2ADXwMpBmADKQYaAVcLXwNgAygGKAZgAycGHAZfAygGWAtMCyMGWQsnBlYLWQtWC1gLKAYnBlkLHAYoBhkBGQEoBlkLRQAcBhkBRQAZAVoLGQFZC1sLWgsZAVsLWwtZC1gLWgtbC10DWwtYC1wLXQNbC1wLXAtYCyMGXQNcC0YLXAsjBlwDRgtcC1wDZwPkAVELXQvkAWcDUgtdC2cD5AEyBlELXgtdC1ILVQteC1ILXQtfC+QBHAFeC1ULVwscAVULGgEcAVcLGgEqBhwBKgYsBhwBHAEsBl4LKgZkAywGXgtgC10LLAZgC14LYAtfC10LZAPjASwGLAbjAWALZANhC+MBYAtiC18L4wFiC2ALYQswBuMB4wEwBmILYQtIADAGYgtjC18LMAZkC2ILYgtkC2MLSAA3BjAGMAY3BmQLSAA6BjcGZQs6BkgAXwtjCzYGXws2BuQB5AE2BjIGZQtqAzoGawNqA2ULagNpAzoGawMdAWoDPAYdAWsDHQE7BmoDagM7BmkDPAY9Bh0BHgE9BjwGHgE+Bj0GPQY/Bh0BHQE/BjsGPgZABj0GPQZABj8GPgZtA0AGbQPnAUAGbQNDBucBQwZEBucBQwZYAEQG5wFEBm4DQAbnAUIG5wFuA0IGQAZCBj8GQgZuA2YLPwZCBkEGQgZmC0EGPwZBBjsGQQZmC1cAOwZBBmwDQQZXAGwDOwZsA2kDZwtpA2wDaAtsA1cAZwtsA2gLUwBnC2gLUgBnC1MAUwBoC1kAUgBpC2cLaQtpA2cLUQBpC1IAWQBoC2oLaAtXAGoLWQBqC1oAaQvmAWkDOgZpA+YBOgbmATcGUQA5BmkLOQbmAWkLTwA5BlEANwbmAWsLOQZrC+YBNwZrC2QLTwBsCzkGbAtrCzkGTQBsC08AZAtrC20LbAttC2sLZAttC2MLTQBuC2wLbgttC2wLTABuC00AYwttCzgGbgs4Bm0LYws4BjYGTABvC24Lbws4Bm4LSQBvC0wANgY4BuUBbwvlATgGNgblATIGSQBwC28LcAvlAW8LTgBwC0kAMgblATUGcAs1BuUBTgBxC3ALcQs1BnALUABxC04AUAByC3ELVAByC1AAcgt7A3ELcQt7AzUGVABxA3ILVQBxA1QAcgvqAXsDcQPqAXILVQBzC3EDVgBzC1UAcwtSBnEDcQNSBuoBVgB0C3MLXgB0C1YAcwt1C1IGdAt1C3MLXgBwA3QLWwBwA14AdAtUBnULcANUBnQLWwB2C3ADWgB2C1sAWgBqC3YLdgtvA3ADcANvA1QGagtFBnYLdgtFBm8DagtXAEUGVwB3C0UGVwB4C3cLRQZWBm8DRQZ3C1YGeAtGBncLeAt0A0YGdwvoAVYGdwtGBugBdANzA0YGdANHBnMDRwZ5C3MDRwZdAHkLcwN5C3YDRgZzA0gGcwN2A0gGRgZIBugBSAZ2A3oLSAZ6C3sL6AFIBnsLewt6C3wLewt8C30LfQt8C+kB6AF7C0sGSwZ7C30LfQvpAUkGSQbpAUoGSwZ9C34Lfgt9C0kGSwZ/C+gBfgtNBksGSwZNBn8LSQZKBkwGTAZKBncDfgtJBnUDdQNJBkwGTQZgAH8LfwtgAF8ATQZhAGAAfwtfAIAL6AF/C4ALgAtfAFwA6AGAC1YGgQthAE0GfguBC00GdQOBC34LgQtmAGEAVgaAC1UGgAtcAFUGVgZVBm8DVQZcAGIATgZmAIELdQNOBoELTgZnAGYAHwFOBnUDggtnAE4GHwGCC04GggtoAGcAdQNMBh8BUAZoAIILUAZpAGgAegOCCx8BegNQBoILHwFMBngDTAZ3A3gDeAN3A2UAeANlAIMLHwF4A08GTwZ4A4MLegMfAU8GTwaDC4QLhQtPBoQLegNPBoULhQuEC3kD6gF6A4UL6gFQBnoDhguFC3kD6gGFC4YLhgt5A0oAewPqAYYL6gFRBlAGUQZpAFAGUgZRBuoBUQZqAGkAUgZyA1EGcgNqAFEGdQtyA1IGcgNkAGoAdQtTBnIDUwZkAHIDVAZTBnULUwZjAGQAVAbtAVMG7QFjAFMGbwPtAVQG7QFiAGMAbwNVBu0BVQZiAO0BUQszBi0GUQsyBjMGMgY1BjMGLQYzBmgDLQZoAy8GMwY1BjQGMwY0BmgDNQZXBjQGNQZ7A1cGewOGC1cGVwaGC0oAVwZKAFgGNAZXBlgGWAZKAH0DaAM0BocLNAZYBocLLwZoAzEGaAOHCzEGLwYxBkYAWAZ9A1kGhwtYBlkGWQZ9A4gLMQaHC4kLhwtZBokLRgAxBnwDMQaJC3wDRgB8A4oLWQaIC4sLiQtZBosLiwuIC4wLfAOJC1oGiQuLC1oGigt8A40LfANaBo0LiguNC44LiwuMC34DWgaLC34DfgOMC0sAfgNLAFwGWgZ+A48Ljwt+A1wGjQtaBo8LjwtcBpALjguNC+sBjQuPC+sB6wGPC5ALjgvrAVsG6wGQC5ELWwbrAZELWwaRC+wBkguTC38DkgvuAZMLlAuSC38D7gHvAZML7gEgAe8BlAt/A5ULgAOUC5ULfwOTC5YLgAOVC5cLmAuAA5cLlQt/A4MDfwOWC4MDlwuVC5kLlQuDA5kLmAuXC/ABawCYC/ABawDwAWMG8AGXC5oLlwuZC5oLYwbwAWQG8AGaC2QGYwZkBoIDggNkBvIBggPyAWUGZAaaC5sLZAabC/IBmguZC5wLmgucC5sLmQuGA5wLmQuDA4YDZQbyAZ0LZQadCyEB8gGbC4cD8gGHA50LmwucC54LmwueC4cDnAufC54LnAuGA58LIQGdC/MBIQHzAWsGnQuHA6ALnQugC/MBhwOeC6ELhwOhC6ALnguJA6ELngufC4kDawbzAWwGawZsBooD8wGgC6IL8wGiC2wGoAuhC6MLoAujC6ILoQtqBqMLoQuJA2oGigNsBvUBigP1AaQLbAaiC6ULbAalC/UBogujC6YLogumC6ULowuLA6YLowtqBosDpAv1AW4GpAtuBm4A9QGlC6cL9QGnC24GpQumC6gLpQuoC6cLpguMA6gLpguLA4wDpwuoC6kLbganC6oLpwupC6oLqAtxBqkLqAuMA3EGbgaqC3QGbgBuBnQGqgupC6sLbgB0BncGrAtuAHcGdAaqC60LqgurC60LdwZ0BvsBdAatC/sBrAt3BpEDkgOsC5EDdwb7AXUAkQN3BnUAkgORA/wBegaSA/wB/AGRA3kGkQN1AHkGegb8AXsGJAF6BnsGJAF7BnwGewb8AX0G/AF5Bn0GfAZ7Bn4GewZ9Bn4GfAZ+BpQDlAN+BpMDlAOTA4AGgAaTA4EGgAaBBm8AkwOVA4EGfgb9AZMDkwP9AZUDfgZ9Bv0B/QGuC5UDfQZ/Bv0B/QF/Bq4LfQZ5Bn8GfwZwAK4LeQZ4Bn8GfwZ4BnAAeQZ1AHgGrwt4BnUAsAtwAHgGrwuwC3gGdwCwC68LdwB2ALALeAB3AK8LdgCxC7ALsAuxC3AAdgB0ALELsguvC3UAeACvC7ILsgt1APsBeQB4ALILdgayC/sBeQCyC3YGdgb7Aa0LewB5AHYGswt2Bq0LewB2BrMLswutC6sLegB7ALMLegCzC7QLtAuzC6sLfAB6ALQLtAurC3UGqQt1BqsLfAC0C7ULtQu0C3UGqQtxBnUGfQB8ALULfQC1C7YLgAB9ALYLtQt1BvYBcQb2AXUGtgu1C/YBcQZwBvYBjANwBnEGtgv2AXIGcAZyBvYBgAC2C7cLtwu2C3IGgQCAALcLjAO4C3AGiwO4C4wDuAuPA3AGcAaPA3IGiwO5C7gLaga5C4sDuAuNA48DuQuNA7gLaga6C7kLiQO6C2oGuQsjAY0DugsjAbkLiQO7C7oLnwu7C4kDugtoBiMBuwtoBroLnwsiAbsLhgMiAZ8Luwv0AWgGIgH0AbsLhgO8CyIBgwO8C4YDgwOWC7wLvAtmBiIBIgFmBvQBlguFA7wLvAuFA2YGlgtfBoUDkwtfBpYLkwvvAV8GXwZgBoUDhQNhBmYGhQNgBmEGXwZeBmAG7wFeBl8GYAbxAWEGYAa9C/EBXga9C2AGYQbxAWIGXga+C70LZgZhBogDYQZiBogDZgaIA/QBiANiBr8LhAO+C14G7wGEA14GIAGEA+8BhANdBr4LIAGBA4QDgQNdBoQDgQNsAF0GiAO/C2cG9AGIA2cGZwa/C8AL9AFnBmgGZwbAC2kGaAZnBmkGaAZpBiMBaQbAC20AIwFpBm0GaQZtAG0GIwFtBo0DjQNtBo4DjQOOA48DbQZtAG8GbQZvBo4DbQCgA28GbQDBC6ADjwOOA3MGjwNzBnIGjgNvBsILjgPCC3MGbwagA8MLbwbDC8ILwQvEC6ADwQvFC8QLoAOYBsMLoAPEC5gGxQv4AcQLxQuaBvgBmgbGC/gBmgb3AcYL+AHGC8cLxAv4AcgL+AHHC8gLxAvIC5gGyAvHC5kGyAuZBqIDmAbIC6IDogOZBn8AogN/AMkLmAaiA8oLyguiA8kLwwuYBsoLygvJC8sLwwvKC6EDoQPKC8sLwgvDC6EDoQPLC5cGwguhA8wLzAuhA5cGcwbCC8wLzAuXBn4AcwbMC5EGkQbMC34AcgZzBpEGkQZ+AJAGcgaRBpADkAORBpAGkAZ+AJIGtwtyBpADkAaSBs0LzQuSBs4LkAOQBvkB+QGQBs0Lzwu3C5ADzwuQA/kBgQC3C88LggCBAM8LggDPC58DnwPPC/kBgwCCAJ8DgwCfA9ALcwCDANAL0AufA40GnwP5AY0GcwDQC9ELcgBzANEL0AuNBtIL0QvQC9ILcgDRC5YDcQByAJYD0QvSC4sGlgPRC4sGcQCWA9MLdABxANMLdADTC7EL0wuWA4MGlgOLBoMGsQvTC4IG0wuDBoIGsQuCBnAAcACCBtQLcADUC9ULggaDBocGggaHBtQLgwaLBoQA1QvUC4QG1QuEBpgD1AuHBv4B1Av+AYQGhwaDBooGgwaEAIoGmAOEBpcDmAOXA4UGhQaXA9YLhQbWC4sAlwOZA9YLhAaGBpcDlwOGBpkDhAb+AYYGhgbXC5kDhgbYC9cL/gHYC4YG2AvZC9cL2AvaC9kL2gv6AdkL/gGJBtgLiQbaC9gL2guIBvoBiAYmAfoBiQbbC9oL2wuIBtoLiAaVBiYBlQabAyYB2wuaA4gGmgOVBogGlQacA5sDnAOOAJsDnAPcC44AJQGcA5UGmgMlAZUGkwbcC5wDJQGTBpwDkwbOC9wLzQvOC5MGnQPNC5MGnQOTBiUB+QHNC50DJQGaA5QGnQMlAd0LJQGUBt0LmgPeC5QGmgPbC94L3QuUBpEAlAaPAJEAlAbeC48A3QuRAJIA3guNAI8AnQPdC48GjwbdC5IA+QGdA48GjwaSAJAA+QGPBo4GjgaPBpAAjQb5AY4GjgaQAIYAjQaOBp4DngOOBoYA0guNBp4DngOGAIUA0gueA4wGjAaeA4UAiwbSC4wGjAaFAIcAiwaMBoQAhACMBocAhACHAIgAigaEAIgAigaIAIkA3wuKBokAhwaKBt8L3wuJAIoA/gGHBt8L4AvfC4oA/gHfC+AL4AuKAIwAiQb+AeALlgbgC4wAiQbgC5YGlgaMAI0A2wuJBpYG3guWBo0A2wuWBt4LmwYnAaMDowMnAZwGmwbhCycB4gubBqMD4QunAycB4wvhC5sGJwGnA6QDJwGkA5wGnAakA6EGnAahBv8BpAOVAKEGpQOcBv8BowOcBqUDpQP/AeQL5QujA6UD4gujA+UL5gulA+QL5QulA+YL5gvkC+cL6AvmC+cL6AvnC+kL6gvlC+YL6gvmC+gL6wviC+UL6wvlC+oLnwboC+kLnwbpC6AGngbqC+gLngboC58GAgLrC+oLAgLqC54GogafBqAGogagBgECpgOeBp8GpgOfBqIG7AsCAp4G7AueBqYDAAKiBgECAAIBAigBqgOmA6IGqgOiBgAC7QvsC6YD7QumA6oD7gsCAuwL7wvsC+0L7wvuC+wL7gvwCwIC8AvrCwIC8QvuC+8L8AvyC+sL8gviC+sL8wvwC+4L8QvzC+4LnQbyC/AL8wudBvAL8gv0C+IL9AubBuIL9AvjC5sG9Qv0C/ILnQb1C/IL9gvjC/QL9Qv2C/QL7gb1C50G9wv2C/UL7gb3C/ULrAPuBp0GrAOdBvML7Qb3C+4GBQLuBqwDBQLtBu4GKgGsA/MLKgHzC/ELwgYFAqwDwgasAyoBxgbtBgUCxgY4Ae0GBgLGBgUCBgIFAsIGOAH4C+0G7Qb4C/cLOAH5C/gL+Av6C/cL9wv6C/YL+Qv7C/gL+Av7C/oL+Qv8C/sL+gv9C/YL9gv9C+ML+wvsBvoL+gvsBv0L/AuuA/sL+wuuA+wG/AuvA64D/Qv+C+ML4wv+C+EL7Ab/C/0L/Qv/C/4LrgMDAuwG7AYDAv8LrwPpBq4DrgPpBgMCrwPqBukG/gsADOEL4QsADKcD/wsBDP4L/gsBDAAM6gYEAukG6gawAwQC6QYEAucG6QbnBgMCAwICDP8L/wsCDAEMAwLnBgIMsAPoBgQCsAOZAOgGBAKxA+cGBALoBrED5wYDDAIM5waxAwMMAgwDDAQMAgwEDAEMsQMFDAMM6AazA7EDsQOzAwUM6AbrBrMDmQDrBugGAQwEDNkGAQzZBgAMAwwGDAQMAwwFDAYMBAzkBtkGBAwGDOQGAAzZBhcCAAwXAqcD2QbkBrID2QayAxcCBgzlBuQGpwMXAqMGpwOjBqQDpAOjBpUAFwLYBqMGFwKyA9gGowbaBpUAowbYBtoGlQDaBtYDlQDWA9sG2Aa3A9oGsgMYAtgG2AYYArcDsgMpARgC5AYpAbID5AblBikB2gYrAdYD2ga3AysB2wbWA9wG2wbcBhoC1gMrARkC1gMZAtwGtwPKAysBGgLcBtcDGgLXAwcM3AYZAhwC3AYcAtcDKwHeBhkCKwHKA94GGQLfBhwCGQLeBt8GBwzXAwgMBwwIDAkM1wMcAgoM1wMKDAgMHALfBgsMHAILDAoMCQwIDAwMCQwMDA0MCAwKDA4MCAwODAwMCgwLDA8MCgwPDA4MDQwMDAQHDQwEBwUHDAwODOAGDAzgBgQHDgwPDNUDDgzVA+AGBQcEBx4CBQceAh0CHQIeAtkDHQLZAywBHgIDB9kDBAfYAx4CHgLYAwMHBAfgBtgD2AMuAQMH4AYCB9gD2AMCBy4B4AbVAwIHAgcQDC4BAgcRDBAM1QMRDAIHEQwBBxAM1QMSDBEMEQwABwEHEgwABxEMAAcvAQEHDwwSDNUDAAcfAi8BHwL/Bi8BEgzUAwAH1AMfAgAHDwwTDBIMEwzUAxIMCwwTDA8MHwL+Bv8G/gaYAP8G/gb9BpgA/Ab+Bh8C1AP8Bh8C0gP9Bv4G/AbSA/4G0gMgAv0GFAz8BtQDEwwUDNQDFQzSA/wGFAwVDPwGFgwgAtIDFQwWDNIDFgwXDCACCwwYDBMMGAwUDBMM3wYYDAsMGQwVDBQMGAwZDBQM3wYaDBgMGgwZDBgM3gYaDN8GGQwbDBUMGwwWDBUMGgwtARkMLQEbDBkM3gYcDBoMHAwtARoMygMcDN4GHQwXDBYMGwwdDBYMHQweDBcMLQHRAxsM0QMdDBsM0AMeDB0M0QPQAx0M0APPAx4M0wPRAy0BHAzTAy0B+wbQA9ED0wP7BtED+gbPA9AD+wb6BtAD+gb5Bs8DHwzTAxwMygMfDBwM4gb7BtMDHwziBtMDIQL6BvsG4gYhAvsGzQP5BvoGIQLNA/oGzQPOA/kG3QYfDMoDtwPdBsoDGALdBrcD3QYgDB8MIAziBh8MGALhBt0G4QYgDN0GKQHhBhgCIAzJA+IGyQMhAuIG4QYhDCAMIQzJAyAMKQG0A+EGtAMhDOEG5Qa0AykByQPmBiEC5gbNAyECIQzjBskD4wbmBskDtAMiDCEMIgzjBiEM5QbwBrQD8AYiDLQDIwzwBuUGBgwjDOUGBQwjDAYMBQwkDCMMswMkDAUMIwwlDPAGJAwlDCMM8AYmDCIMJQwmDPAGJgzHAyIMIgzHA+MGswM0ASQM6wY0AbMDJAzvBiUMNAHvBiQMJQwnDCYM7wYnDCUMJgzzBscDJwzzBiYMxwMbAuMG4wYbAuYG8wYwAccDxwMwARsCJwwoDPMG7wYpDCcMKQwoDCcM8QYpDO8GNAHxBu8G8wb0BjABKAz0BvMGKwLxBjQB6wYrAjQB8QYqDCkMKQcrAusGmQApB+sGuQMpB5kAKQzyBigMKgzyBikMKwIlB/EGJQcqDPEGKQcmBysCJgclBysCuQO4AykHuAMmBykHKge4A7kDKgcrB7gDugMrByoHuAMnByYHKwcnB7gDJge2AyUHJwe2AyYHtgMrDCUHJQcrDCoMugO8AysHLAy8A7oDKwcoBycHvAMoBysHJwcsArYDKAcsAicHtgMtDCsMLAItDLYDLAwuDLwDLwwuDCwMvAO/AygHLgy/A7wDKAe9AywCvwO9AygHLAIwDC0MvQMwDCwCLwwxDC4MNwExDC8MLgwyDL8DMQwyDC4MvwM2Ab0DMgw2Ab8DvQMzDDAMNgEzDL0DNwEsBzEMLQcsBzcBMQw0DDIMLAc0DDEMMgw1DDYBNAw1DDIMNgE2DDMMNQw2DDYBLQcvBywHMQIvBy0HMQIwBy8HLwcuBywHLAcuBzQMMAfAAy8HLwfAAy4HMAebAMADNAw3DDUMLgc3DDQMNww4DDUMNQw4DDYMLgc5DDcMwAM5DC4HmwAwAsADwAMwAjkMmwAxBzACOQw6DDcMNww6DDgMMAI7DDkMOQw7DDoMMQc8DDACMAI8DDsMMQc9DDwMPQzCAzwMPQwyB8IDPAw0BzsMPAzCAzQHOww+DDoMOww0Bz4MOgw+DD8MOgw/DDgMMgc2B8IDMgcvAjYHwgM1BzQHwgM2BzUHNAdADD4MNAc1B0AMPgxBDD8MPgxADEEMLwLEAzYHLwI3B8QDNwdCDMQDNweaAEIMxANCDCAHNgfEAx8HxAMgBx8HNgcfBzUHHwcgB0MMNQcfB0QMHwdDDEQMNQdEDEAMRAxDDEUMQAxEDEYMRAxFDEYMQAxGDEEMRgxFDC4CRgwuAsMDQQxGDMMDwwMuAh4HQQzDAy0CPwxBDC0CwwMeBx0HLQLDAx0HHQceBxwHPwwtAjMHOAw/DDMHOAwzBzYMMwctAiEHLQIdByEHNgwzB8EDMwchB8EDNgzBAzMMHQccBxsHIQcdBxsHGwccB5MAwQMhBzUBIQcbBzUBMwzBAyIHwQM1ASIHMwwiBzAMNQEbBxoHGweTABoHIgc1Ab4DNQEaB74DMAwiByMHIge+AyMHMAwjBy0MLQwjByQHLQwkBysMIwe+A7sDIwe7AyQHvgMaBxkHvgMZB7sDGgcYBxkHGgeTABgHKwwkB7UDKwy1AyoMKgy1A/IGJAcxAbUDJAe7AzEBtQNHDPIGtQMxAUcM8gZHDEgM8gZIDCgMKAxIDPQGuwPGAzEBuwMZB8YDMQFJDEcMMQHGA0kMRwxKDEgMRwxJDEoMSAz2BvQGSAxKDPYG9Ab2BiIC9AYiAjABSgxLDPYGSQxMDEoMSgxMDEsMSQwJB0wMxgMJB0kMMAEiAvUGMAH1BhsC9gbIAyIC9gZLDMgDIgL4BvUGIgLIA/gGGwL1BvcGGwL3BuYG5gb3Bs0D9wbOA80D9waUAM4D9QaUAPcG9Qb4BpQA+AbLA5QA+AYjAssDyAMjAvgGIwIGB8sDyAMIByMCSwwIB8gDIwIHBwYHCAcHByMCBwfMAwYHSwxNDAgHTAxNDEsMCAfdAwcHTQzdAwgHBwfaA8wD3QPaAwcH2gNODMwDTAxPDE0MCQdPDEwMTQxQDN0DTwxQDE0M3QMmAtoDUAwmAt0D2gNRDE4MJgJRDNoDUQxSDE4MUQxTDFIMUwwkAlIMJgJUDFEMVAxTDFEMUAxVDCYCVQxUDCYCVgxVDFAMTwxWDFAMUwwKByQCCgcLByQCVAxXDFMMVwwKB1MMVQxYDFQMWAxXDFQMVgxZDFUMWQxYDFUMCgczAQsHMwGWAAsHMwEMB5YADQczAQoHVwwNBwoH2wMMBzMBDQfbAzMB2wMlAgwHDgcNB1cMWAwOB1cMWgzbAw0HDgdaDA0HWwwlAtsDWgxbDNsDWwxcDCUCXQwOB1gMWQxdDFgMXgxaDA4HXQxeDA4HXwxbDFoMXgxfDFoMYAxcDFsMXwxgDFsMYAxhDFwMYgxhDGAMYgxjDGEMDwdgDF8MDwdiDGAMZAxfDF4MZAwPB18MZQxkDF4MZQxeDF0MJwJjDGIMJwLcA2MMEQdiDA8HEQcnAmIMZgwPB2QMZgwRBw8HZwxkDGUMZwxmDGQMEgfcAycCEgcoAtwDaAwoAhIHaAyXACgCEwdoDBIHFAcSBycCEwcSBxQHFAcnAhEHaQwTBxQHagwUBxEHaQwUB2oMagwRB2YMawxpDGoMbAxqDGYMawxqDGwMbAxmDGcMKgJrDGwMKgJsDOAD4ANsDGcMFQcqAuAD4ANnDN4DFQfgAxYHFgfgA94D3gNnDGUMFwcVBxYH3gNlDBAHEAdlDF0MEAddDFkMKQLeAxAHFgfeAykCbQwQB1kMKQIQB20MbQxZDFYMFwcWB98D3wMWBykCkwAXB98DkwDfAxgH3wMpAjIBMgEpAm0MGAffAzIBbgxtDFYMMgFtDG4MbgxWDE8MCQduDE8MxQMyAW4MxQNuDAkHGAcyAcUDxgPFAwkHGQcYB8UDGQfFA8YDbwxwDHEMcQxwDHIMbwxzDHAMygZvDHEMcwx0DHAMdQxzDG8McAx0DHYMcAx2DHIMcwx3DHQMeAxvDMoGeAx1DG8MdQx5DHMMeQx3DHMMdQwJAnkMdwx6DHQMdQx7DAkCeAx7DHUMeQwJAnwMeQx9DHcMeQx8DH0MfQx+DHcMdwx+DHoMfQw5AX4MfQx8DMQGfQzEBjkBOQEIAn4MOQHEBggCfgx/DHoMfgwIAn8Megx/DIAMfAzDBsQGxAbFBggCxAbDBsUGCAKBDH8MCALFBoEMfwyBDMgGfwzIBoAMfAzABsMGCQLABnwMwwatA8UGCQKCDMAGewyCDAkCwAbBBsMGwwbBBq0DggwHAsAGwAYHAsEGBwIGAsEGwQYGAsIGwQbCBq0DBwK+BgYCrQPCBioBvQa+BgcCggy9BgcCvQacAL4GrQMqAccGxQatA8cGxwYqAfELxQbHBoEMxwbxC4MMgQzHBoMMgwzxC+8LgQyDDMgGgwzvC4QMyAaDDIQMhAzvC+0LyAaEDIUMhAztC4YMhQyEDIYMhgztC6oDgAzIBoUMhgyqA6sDqwOqAwAChQyGDIcMhwyGDKsDgAyFDIgMiAyFDIcMiQyADIgMegyADIkMdAx6DIkMdAyJDHYMiQyIDMkGdgyJDMkGiAyHDIoMyQaIDIoMigyHDOMDhwyrA+MD4wOrA6QGqwMAAqQGpAYAAigBpAYoAagDqAMoAakD4wOkBosMiwykBqgDigzjA8AAwADjA4sMjAyKDMAAyQaKDIwMqAOpA6YGpgapA6cGiwyoA6UGpQaoA6YGwACLDI0MjQyLDKUGjgzAAI0MjAzAAI4MpganBhMCEwKnBj4BpQamBqgGqAamBhMCjQylBhQCFAKlBqgG4gONDBQCjgyNDOIDEwI+AY8Mjww+AZAMqAYTAuQD5AMTAo8MFAKoBqoGqgaoBuQDkQwUAqoG4gMUApEMjwyQDJIMkgyQDKkG5AOPDJMMkwyPDJIMqgbkA68ArwDkA5MMlAyqBq8AkQyqBpQMkgypBuUD5QOpBj0BkwySDJUMlQySDOUDrwCTDJYMlgyTDJUMFQKvAJYMlAyvABUC5QM9AasGqwY9AawGlQzlA5cMlwzlA6sGlgyVDJgMmAyVDJcMmQyWDJgMFQKWDJkMqwasBucD5wOsBqoAlwyrBuYD5gOrBucDmAyXDNcG1waXDOYDmgyYDNcGmQyYDJoM5wOqAOkD6QOqAK0G5gPnAzwBPAHnA+kD1wbmA5sMmwzmAzwBnAzXBpsMmgzXBpwM6QOtBq4GrgatBhACPAHpA68GrwbpA64Gmww8AegD6AM8Aa8G0gabDOgDnAybDNIGrgYQAg8CDwIQAp0MrwauBrAGsAauBg8C6AOvBp4MngyvBrAGnwzoA54M0gboA58MnwyeDNEGDwKdDKAMoAydDKEMsAYPAqIMogwPAqAMngywBhECEQKwBqIM0QaeDBECoAyhDKMMowyhDKQMogygDLEGsQagDKMMEQKiDKUMpQyiDLEG0QYRAqYMpgwRAqUMpgyfDNEGowykDKcMpwykDOoDsQajDKgMqAyjDKcMpgypDJ8MqgyxBqgMpQyxBqoMpgylDKsMqwylDKoMqwypDKYMqQzSBp8MqQysDNIGrAycDNIGqwytDKkMrQysDKkMqwyqDK4MrgytDKsMrgyqDK8MqgyoDK8MrAywDJwMrQyxDKwMsQywDKwMsAyaDJwMsgyxDK0MrgyyDK0MsQyzDLAM7AOyDK4MrgyvDOwDsgy0DLEMtAyzDLEMtQy0DLIM7AO1DLIMswy2DLAMsAy2DJoMtAy3DLMMtQy4DLQMuAy3DLQMswy5DLYMtwy5DLMMugyaDLYMuwy2DLkMugy2DLsMvAyaDLoMvAyZDJoMvQyZDLwMvQwVApkMvgy8DLoMvwwVAr0MvwyUDBUCwAy9DLwMwAy8DL4MwQy/DL0MwQy9DMAMwgyUDL8MwgyRDJQMwwy/DMEMwwzCDL8MxAyRDMIMxAziA5EMxQzCDMMMxQzEDMIMxgziA8QMxgyODOIDxwzEDMUMxwzGDMQMyAyODMYMyAyMDI4MyQzGDMcMyQzIDMYMygyMDMgMygzJBowMywzIDMkMywzKDMgMzAzJDMcMzQzLDMkMzQzJDMwMuwDNDMwMugDNDLsAuwDMDMEAugDWBs0M1gbLDM0MuQDWBroAwQDMDM4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ALQD+AOwC7AL+AO0C/gDqAu0C7QLqAisA7QIrAO4C7ALtAu8C7wLtAu4C+wDsAu8C7wLuAvAC+wDvAvEC8QLvAvACpAH7APEC8gLxAvACpAHxAvIC2gKkAfIC8gLwAiMA2gLyAiMAnQHaAiMA1ALaAp0BnAHUAp0BnAGdAfMCnQEjAPMCnAHzAiAA8wIjAKEBIwD0AqEBIADzAvUC8wKhAfUCoQH0AvYC9QKhAfYC9gL0AvcCIAD1Ap4BIACeAfgC9QL2AvkCngH1AvkC9gL3AvoC+QL2AvoC+gL3AiQA+AKeAfsCngH5AvsC+AL7AvwC+QL6Av0C/QL6AiQA+wL5Av0C/QIkAKAB/AL7Ap8B+wL9Ap8BnwH9AqAB/AKfAfkAnwGgAfkA+AD+AqkB/gKoAakB/gIlAKgBJQD/AqgBqAH/AiYAqQGoAQAD+ACpAacBqQEAA6cB+ACnAQEDAQOnASIApwGmASIAqAEmAAIDAgMmAKYBAAOoAQIDpwECA6YBpwEAAwIDAAEDAwQDBQMDAwABAwOuAQQDBAOuATkABQMGAwMDAQEGAwUDrgGvATkAsQEGAwEBAwMHA64BBgMHAwMDrgEIA68BBwMIA64BBgMJAwcDBwOyAQgDCQOyAQcDCAMKA68BsgEKAwgDsQGwAQYDsAEJAwYDCQMLA7IBsgELAwoDsAEMAwkDDQOwAbEBsQECAQ0DswEMA7ABswGwAQ0DDAMOAwkDDgMLAwkDDQMCAQ8DDQMPA7MBAgEQAw8DDwMQA7QBDwO0AREDswEPAxEDEQO0AToAswERAxIDswESAwwDEgMOAwwDEgMRAxMDEwMOAxIDEwMDAQ4DDgMDARQDDgMUAwsDAwEVAxQDAwE3ABUDFQMWAxQDFQM3ABYDFAMEAQsDFAMWAwQBCwMEARcDCwMXAwoDBAEYAxcDFwMYAwoDBAEWAxkDBAEZAxgDNwAaAxYDGAO3AQoDGAMZA7cBCgO3ARsDCgMbA68BrwEbAzEAGwO3ARwDGwMcAzEAGQMdA7cBtwEdAxwDFgMGARkDFgMaAwYBGQO4AR0DGQMGAbgBHQO5ARwDHAMyADEAHAO5ATIAMQAyAB4DMQAeAx8DMQAfA7oBHwMzALoBHwMeAzMAHgMyADMAuQEgAzIAIAM1ADIAIAMhAzUABwEgA7kBHQMHAbkBIgMhAyADIgMMASEDBwEjAyADIwMiAyADHQMkAwcBuAEkAx0DJQMjAwcBJAMlAwcBuAEmAyQDJgMlAyQDBgEmA7gBJQO7ASMDuwEiAyMDJgMKASUDJQMKAbsBBgG9ASYDJgO9AQoBJwMMASIDuwEnAyIDJwMoAwwBuwEpAycDKQMoAycDCgEpA7sBKQMLASgDKgMLASkDCgEqAykDKgO8AQsBKgMrA7wBCgErAyoDKwMJAbwBCgG+ASsDKwO+AQkBvQG+AQoBLAMJAb4BvQEsA74BLAMtAwkBLgMtAywDLgO/AS0DLwO/AS4DLwMuAywDNAC/AS8DNgA0AC8DMAMvAywDNgAvAzADMQMsA70BMQMwAywDNgAwAzEDBgExA70BwAExAwYBwAE2ADEDGgPAAQYBNwDAARoDMgM2AMABNwAyA8ABMgM4ADYAMwM4ADIDNAMzAzIDNAMyAzcABQE0AzcADQE/ADUDNQM/AMEBDQE1AzYDEAENATYDNQPBAcIBNgM1A8QBxAE1A8IBEAE2A8YBxgE2A8QBEAHGATcDxwEQATcDxgHEAQ8BNwPGAQ8BOAPHATcDxwE4AxEBOQM3Aw8ByAE4AzcDyAE3AzkDOAM6AxEBOAPIAToDEQE6A8kBEQHJATsDOgPLAckByAHLAToDywE+AMkBywE8Az4AyAE5A8oBywHIAcoBOQMPAcoBPAPLAcwBywHKAcwBygEPAT0DygE9A8wBPQMPAT4DzAE9Az8DPQM+Az8DDwFAAz4DDwHEAUADxAFBA0ADQANBAz4DxAHCAUEDzAE/A0IDzAFCA0AAPwM+A8UBQgM/A80BQgPNAUAAPwPFARIBPwMSAc0BPgNDA8UBxQFDAxIBQQNDAz4DQQNEA0MDQQPCAUQDQwNFAxIBQwNEA0UDEgHOAc0BEgFFA84BRAPCAUYDRANGA0UDwgE7AEYDwgHBATsARQNGA0cDRgM7AEcDzgFFA9kBRQNHAxMBRQMTAdkBOwA9AEcDOwDcAT0APQDcATwARwM9AEgDEwFHA0gDSAM9ANsB2wE9AEIAEwFIA0kDSQNIA9sB2QETAUkD2wFCABQBSgPbARQBSQPbAUoDFQFKAxQBSQNKA0sDSwNKAxUB2QFJA0wDTANJA0sDTQNMA0sDTQNLAxUB2QFMA04DTgNMA00DTQMVAU8DTwMVAdYBTwPWAdUBTQNPA9UB1QHWARcBFgFOA00DFgFNA9UB1wHZAU4D1wFOAxYBzgHZAdcB1QEXAVADzgHXAVEDzQHOAVED1wEWAdQBUQPXAdQBFgHVAVIDUgPVAVAD1AEWAVID0wFQAxcBUgNQA9MB0wEXAVMDVAPUAVIDVANSA9MBVQPTAVMDVQNTA9IBVgPTAVUDVgNVA9IBVAPTAVYDQQBWA9IBQwBWA0EAQwBUA1YDVwPUAVQDUQPUAVcDzwFUA0MAzwFXA1QDWANRA1cDWANXA88BzQFRA1gDQADNAVgDQABYA88BWQPPAUMAQADPAVkDWQNDAEQAWgNZA0QAWwNAAFkDWwNZA1oD0AFAAFsD0AFbA1oD3QFcA94BXQNcA90B3QHeAV4DXQMZAVwDRQAZAV0DRQBfAxkBXwNgAxkBGQFgA1wDXwMaAWADXgPeAWEDXgNhA0cAXANiA94BXANgA2IDYQPfAUcA3gFjA2EDYQNjA98B3gFiA2MDYgPhAWMDYAPhAWIDYwPhAd8BYAMaAeABYAPgAeEBGgEcAeABGgFkAxwB4AFlA+EB4AEcAWUD4QFmA98BZAPjARwBHAHjAWUD4QFlA+IB4QHiAWYDZgNGAN8BZANIAOMB4gEbAWYDZQMbAeIBZgMbAUYA4wFnA2UDZQNnAxsB4wHkAWcDZwPkARsB4wFIAOQBGwFoA0YA5AHlARsBGwHlAWgDSADmAeQB5gHlAeQBTADlAeYBSQDlAUwASQBoA+UBTQBMAOYBTQDmAU8ATwDmAVEAUQDmAVIAUgDmAWkDSABpA+YBUgBpA1MASABqA2kDawNqA0gAUwBpA2wDagNsA2kDUwBsA1kAawMdAWoDHQFsA2oDHgEdAWsDWQBsA1oAHgHnAR0BHQHnAWwDHgFtA+cBbQNYAOcB5wFYAG4D5wFuA2wDbANuA1cAbANXAFoAWgBXAFsAWwBXAG8DWwBvA3ADWwBwA14AXgBwA1YAVgBwA3EDVgBxA1UAVQBxA1QAVABxA1AAcAPtAXEDcANvA+0BcQPqAVAAbwNcAO0BbwNfAFwAXABiAO0B7QFiAGMA7QFjAGQAcQPtAXID7QFkAHIDcQNyA+oBcgNkAGoAcgNqAOoB6AFfAG8D6AFgAF8AVwDoAW8D6AFhAGAAVwBzA+gBdANzA1cAdQNhAOgBdANdAHMD6AFzA3UDcwNdAHYDcwN2A+kBcwPpAXUDdQNmAGEAdQNnAGYAdQPpAXcDaABnAHUDHwFoAHUDdQN3A3gDdQN4Ax8BeAN3A2UAeANlAHkDegMfAXgDegNoAB8BegN4A3kDegNpAGgAagBpAHoD6gFqAHoDSgB6A3kD6gF6A0oAewPqAUoAUADqAXsDUAB7A04ATgB7A0kAewNoA0kAaAN7A0oAaANKAHwDRgBoA3wDfANKAH0DRgB8A+sBfAN9A+sBRgDrAewB6wFLAOwBfQNLAH4D6wF+A0sA6wF9A34D7gHvAX8DgAPuAX8D7gGBA+8BgAN/A/ABawCAA/ABawDwAYID8AF/A4MDfwPvAYMDggPwAfIB8AGDA/IBggPyASEBgQOEA+8BgQNsAIQDhANsAPEB7wGEA4UDhAPxAYUDgwPvAYUD8gGDA4YDgwOFA4YDhQPxASIBhgOFAyIB8gGGA4cD8gGHAyEBhgMiAYcDIgHxAYgDiAPxAW0AhwMiAYkDIQGHA/MBhwOJA/MBIQHzAYoDIgH0AYkDIgGIA/QB8wGJA4sDiQP0AYsDigPzAfUB8wGLA/UBigP1AW4A9AGIAyMBiwP0ASMBiANtACMB9QGLA4wD9QGMA24AiwMjAY0DIwFtAI0DiwONA4wDjQNtAI4DjAONA48DjQOOA48DbgCMA/sBjAOPA/YB+wGMA/YBfQD2AY8DfQB8APYBfAD7AfYBkAN9AI8DjwOOA5ADgAB9AJADgQCAAJADegD7AXwAegB7APsBewB5APsBeQB4APsBeAB1APsBbgD7AXUAeAB3AHUAdwB2AHUAdgB0AHUAbgB1AJEDkgNuAJEDdQB0AHAAdABxAHAAkQN1AP0B/QF1AHAAkgORA/wB/AGRA/0BJAGSA/wBJAH8AZMDkwP8Af0BJAGTA5QDlAOTA28AkwOVA28AkwP9AZUD/QFwAJUDcQCWA3AAcQByAJYDcgBzAJYDcACWA4oAigCWA4kAcACKAP4B/gGKAIwA/gGMAI0AcAD+AZcDmANwAJcDmAOXA4sAlwOZA4sAlwP6AZkDmgP+AY0A/gGaA5cDlwOaA/oBmgONAI8AmgOPAJEAmgObA/oBkgCaA5EAmgOcA5sDnAOOAJsDJQGaA5IAmgMlAZwDnQMlAZIAnQOcAyUBnQOSAJAAnAN+AI4AnQN+AJwDhgCdA5AA+QGdA4YA+QF+AJ0DngP5AYYAngOGAIUAhACeA4UAhACFAIcAhACHAIgAiQCEAIgAlgOEAIkAnwOeA4QAlgOfA4QAnwP5AZ4DcwCfA5YDcwCDAJ8DgwCCAJ8DggCBAJ8DnwOBAPkBgQCQA/kBkAN+APkBjgN+AJADjgOgA34AbQCgA44DoAOhA34AoQN/AH4AbQD4AaADoAP4AaEDbQD3AfgB+AH3AX8AoQOiA38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"), 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"), 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/SrPKPkj5Lz/8IMc+CM0/P4izyj44Lk8/3wLCPgmlTz8BAMA+AACAP8ZMxD6u+V0/vz7EPmXgej/yIMc+e4ldP6kxxj6FPn8//sLGPnuJfT9Uj9M+AACAPwMGxz7H8Xk/UrPKPp5uXT9ROco+nm59PyLg2T7np38/AgDgPgAAgD9p89k+p9t+P3o/1D4y4Ho/AADgPgAAgD/AF9o+88lsP89b1D4WWU8/NrM+Pi6w4D4BAAA+/P9/Pk9Ulj4y8MQ+AQCAPvz/fz6H7Ko+CjzFPrDzuz5AknY+ZKS/PrSViz4VVcY+gLfhPtptwD5UVcU+wKTFPuBEiz6i5cU+xlHFPoxNyj7cZn8+I7nGPqQqTz47ANc+ZGtWPo+/1z5wdGg+nMfTPiovhj7PqNY+zDlAPkkW2T54RTc+7rfGPrgz7D2gFd0+cKNgPhnfwT5Qfno9AQDAPvj//z1HL8Y+oNVzPazH2T4AAAC0XZDYPuCjbj3JGtw+UMogPhHE3T4QYyg+AgDgPgAAALRYMuA+TJd/Pr+w4z7ovfs9ON3iPuT/Oz6PJ9o+On3CPqIX4z4gw3w9AADgPgAAAADRfco+1K3hPljDxj6wOAA/QsPBPuwFED/oAMc+FQcQPzipyj7pBhA/rbDKPgAAID/YAcI+Iv0vP+kfxz6g+S8/nrPKPkXKPz/8IMc+CM0/P4izyj44Lk8/3wLCPgmlTz8BAMA+AACAP89b1D4WWU8/wBfaPvPJbD8AAOA+AACAP2nz2T6n234/AgDgPgAAgD96P9Q+MuB6P1E5yj6ebn0/IuDZPuenfz+sx9k+AACAP6kxxj6FPn8//sLGPnuJfT8DBsc+x/F5P78+xD5l4Ho/8iDHPnuJXT/GTMQ+rvldP29wHj5EwRU/eYNzPQEAQD9vcB4+vT5qP8fHsD5FwRU/ko/hPgAAQD/Jx7A+vT5qP29wHj5EwRU/eYNzPQEAQD9vcB4+vT5qP8fHsD5FwRU/ko/hPgAAQD/Jx7A+vT5qP29wHj5EwRU/eYNzPQEAQD9vcB4+vT5qP8fHsD5FwRU/ko/hPgAAQD/Jx7A+vT5qP0T72T4kDkw/7ZOuPm1WaD/2Epg9JA5MPxaXWD4YxWQ/GMjaPbzWKj8Wl1g+6DobP9on3T4AAEA/GO/BPpQIUz+81bU+IhUlPxaE+D2CEB8/kVQUPiIVJT8ayNo9RilVPwAAgD4mEWY/AACAPu6Tbj9b2rs+Lu1dP3LHTz6h/Ww/kFQUPt3qWj/2Epg9JA5MP/cSmD3c8TM/QtfZPcYlNj9yx08+XwITP0ocmD5eAhM/QS9UPqQeFz8oEaY+cwgfP0L72T7c8TM/MIrJPjraST91tJM+GMVkP9is0D4Jtig/vNW1PiIVJT8wisk+OtpJP7rVtT7c6lo/csdPPl8CEz9yx08+of1sP/cSmD3c8TM/FoT4PX7vYD+QVBQ+3epaP3W0kz4YxWQ/QtfZPcYlNj/pWis+BlkbP0YcmD6h/Ww/+03JPkUpVT91tJM+GMVkP00izD4AAEA/XNq7PtISIj+RVBQ+IhUlP0LX2T3GJTY/kFQUPt3qWj/3OgM/REssPrMPCT8I7v899zoDP0RLLD6zDwk/CO7/PVavAj9Qaac9Vq8CP1Bppz1vcB4+RMEVP3mDcz0BAEA/b3AePr0+aj/Hx7A+RcEVP5KP4T4AAEA/ycewPr0+aj9vcB4+RMEVP3mDcz0BAEA/b3AePr0+aj/Hx7A+RcEVP5KP4T4AAEA/ycewPr0+aj9vcB4+RMEVP3mDcz0BAEA/b3AePr0+aj/Hx7A+RcEVP5KP4T4AAEA/ycewPr0+aj8AAAA/AAAAP1VVBT9WVdU+AAAAP1ZVFT9VVQU/qqqqPquqCj+qqqo+VVX1PlZV1T6rquo+VlUVP6uq6j4AAAA/VVX1Pqqqqj4AAAA/AACAPgAA4D4AAAA/AADgPqqqKj8AAOA+VlXVPquq6j6qqqo+VVX1PgAAgD4AAAA/rKoqPlVV9T6sqio+AADgPgAAgD5VVdU+qqqqPquqyj5WVdU+q6rKPgAAAD9VVdU+VlUVPwAAwD5WVRU/q6rKPqqqKj+rqso+AABAPwAAwD4AAEA/VVW1PqqqKj9VVbU+AABAP6uqqj4AAEA/q6qqPlZVFT+rqqo+AAAAP1VVtT5WVdU+AADAPqqqqj5VVdU+AACAPquqyj4AAIA+AADgPqyqKj6rqso+rKoqPlVVtT4AAIA+q6qqPqqqqj5VVbU+rKoqPquqqj4AAIA+AACgPlZV1T5VVZU+AAAAP1VVlT5WVRU/q6qKPgAAAD8AAKA+qqoqP6uqij6qqio/VVWVPgAAQD+rqoo+AABAPwAAgD6qqio/AACAPlZVFT+rqmo+AABAP6uqij5WVdU+q6pqPgAAAD9VVZU+qqqqPquqij6qqqo+q6pqPlZV1T5VVZU+AACAPquqij4AAIA+AACgPqyqKj4AAIA+AACAPquqij6sqio+q6pqPqqqqj6rqmo+AACAPgAAQD5WVdU+AABAPgAAAD9VVVU+VlUVPwAAQD5WVRU/VVVVPqqqKj8AAEA+qqoqP1VVVT4AAEA/q6oqPgAAQD9VVRU+qqoqP1VVFT4AAEA/VVUVPlZVFT9VVRU+AAAAP1VVFT5WVdU+AABAPqqqqj4AAEA+AACAPlVVFT6qqqo+q6oqPgAAgD6rqmo+rKoqPgAAQD6sqio+VVUVPqyqKj4AAAA+AACAPlVV1T2qqqo+VVXVPVZV1T5VVdU9AAAAP1VV1T1WVRU/AACAPQAAAD8AAIA9VlUVP1VV1T2qqio/AACAPaqqKj9VVdU9AABAP6uqqj0AAEA/AACAPQAAQD+rqqo8AABAP6uqqjyqqio/q6qqPFZVFT+rqqo8VVVVP6uqqjwAAAA/q6qqPAAAgD+rqio9q6pqPwAAgD1VVVU/AACAPQAAgD+rqqo9q6pqP1VV1T1VVVU/VVXVPQAAgD8AAAA+q6pqP1VVFT5VVVU/VVUVPquqaj+rqio+AACAPwAAQD5VVVU/AABAPquqaj8AAEA+AACAP6uqaj5VVVU/q6pqPquqaj8AAIA+AACAP6uqij5VVVU/q6qKPquqaj+rqoo+AACAP1VVlT5VVVU/AACgPquqaj8AAKA+AACAP6uqqj5VVVU/q6qqPgAAgD9VVbU+q6pqPwAAwD5VVVU/AADAPgAAgD+rqso+q6pqP1VV1T5VVVU/VVXVPgAAgD8AAOA+AABAPwAA4D6rqmo/q6rqPqqqKj+rquo+AABAP6uq6j5VVVU/VVX1PgAAQD8AAAA/qqoqP6uq6j4AAIA/VVX1PlVVVT9VVfU+q6pqP1VVBT8AAEA/VVUFP1VVVT9VVQU/q6pqP1VVBT8AAIA/q6oKPwAAQD+rqgo/qqoqPwAAED+rqmo/AAAQPwAAgD8AABA/VVVVPwAAED+qqio/VVUVPwAAQD+rqho/q6pqP6uqGj8AAIA/q6oaP1VVVT+rqho/AABAP6uqGj+qqio/AAAgPwAAgD9VVSU/q6pqP1VVJT9VVVU/VVUlPwAAQD9VVSU/qqoqP6uqKj+rqmo/q6oqPwAAQD8AADA/AACAPwAAMD9VVVU/AAAwP6qqKj9VVTU/q6pqP1VVNT8AAEA/q6o6PwAAgD+rqjo/VVVVP6uqOj8AAEA/q6o6P6qqKj8AAEA/q6pqPwAAQD8AAIA/AABAPwAAQD9VVUU/q6pqP1VVRT9VVVU/VVVFP6qqKj+rqko/AACAP6uqSj8AAEA/q6pKP6qqKj8AAFA/q6pqPwAAUD9VVVU/AABQPwAAQD9VVVU/qqoqP6uqWj+rqmo/q6paPwAAgD+rqlo/VVVVP6uqWj8AAEA/AABgP6qqKj9VVWU/q6pqP1VVZT8AAIA/VVVlP1VVVT9VVWU/AABAP6uqaj8AAEA/q6pqP6qqKj8AAHA/q6pqPwAAcD9VVVU/AABwP6qqKj9VVXU/AACAP1VVdT8AAEA/q6p6P6uqaj+rqno/AACAP6uqej9VVVU/q6p6PwAAQD+rqno/qqoqP1VVdT9WVRU/q6p6PwAAAD+rqno/VlXVPquqej+qqqo+AABwPwAAAD+rqmo/VlUVP6uqej8AAIA+AABwP1ZV1T4AAGA/VlUVP1VVZT8AAAA/AABwP6qqqj5VVWU/VlXVPlVVVT9WVRU/q6paPwAAAD9VVWU/qqqqPquqWj9WVdU+q6pKP1ZVFT8AAFA/AAAAP6uqWj+qqqo+AABQP1ZV1T5VVVU/qqqqPgAAQD9WVRU/VVVFPwAAAD9VVUU/VlXVPquqSj+qqqo+VVU1P1ZVFT+rqjo/AAAAP1VVNT8AAAA/q6o6P1ZV1T4AAEA/qqqqPquqKj9WVRU/q6oqPwAAAD8AADA/VlXVPlVVNT+qqqo+AAAgP1ZVFT8AADA/qqqqPgAAID8AAAA/VVUlP1ZV1T5VVRU/VlUVP1VVJT+qqqo+VVUVPwAAAD+rqho/VlXVPgAAID+qqqo+q6oKP1ZVFT+rqgo/AAAAPwAAED9WVdU+VVUVP6qqqj6rqho/AACAPlVVFT8AAIA+q6oKPwAAgD5VVRU/rKoqPquqCj+sqio+AAAgP6yqKj4AACA/qKqqPVVVFT+oqqo9AAAgPwAAAACrqho/AAAAAAAAED+oqqo9AAAQPwAAAABVVQU/qKqqPVVVBT8AAAAAVVX1Pqiqqj2rquo+AAAAAAAA4D6oqqo9VVXVPqiqqj1VVdU+AAAAAAAAwD4AAAAAVVW1Pqiqqj2rqqo+AAAAAAAAoD6oqqo9AACgPgAAAACrqoo+qKqqPauqij4AAAAAAACAPgAAAACrqmo+qKqqPQAAQD6oqqo9AABAPgAAAACrqio+AAAAAFVVFT6oqqo9VVXVPaiqqj1VVdU9AAAAAFVV1T2sqio+VVXVPQAAgD4AAIA9qKqqPQAAgD0AAAAAAACAPayqKj4AAIA9AACAPgAAgD2qqqo+AACAPVZV1T6rqqo8VlXVPquqqjyqqqo+q6oqPQAAgD6rqqo8AACAPquqqjysqio+q6qqPKiqqj2rqqo8AAAAAFVVJT8AAIA+q6oqPwAAgD6rqio/rKoqPquqKj+oqqo9AAAwPwAAAABVVTU/qKqqPauqOj8AAAAAVVU1P6yqKj5VVTU/AACAPgAAQD8AAAAAq6o6PwAAgD4AAEA/qKqqPQAAQD+sqio+AABAPwAAgD6rqko/AAAAAFVVRT8AAIA+q6pKP6iqqj2rqko/rKoqPgAAUD8AAIA+VVVVP6iqqj2rqlo/AAAAAFVVVT+sqio+VVVVPwAAgD4AAGA/qKqqPVVVZT8AAAAAAABgP6yqKj4AAGA/AACAPlVVZT8AAIA+q6pqP6iqqj2rqmo/rKoqPquqaj8AAIA+VVV1PwAAAABVVXU/qKqqPauqej8AAAAAVVV1P6yqKj5VVXU/AACAPom1Dj+C/58+lO0IP3b/nz4DAQE/JgGgPuih7z54CKA+/FzdPloWoD6lchA/+P8/PqN0CT/0/z8+EzwBP/j/Pz6JtQ4/gv+fPpTtCD92/58+AwEBPyYBoD7ooe8+eAigPvxc3T5aFqA+pXIQP/j/Pz6jdAk/9P8/PhM8AT/4/z8+WL0PPxQlVz+7FxA/3BVVPzSuDj/s2Vg/XPkMPxDpWT8m6go/cUNaP+3aCD8Q6Vk/FSYHP+vZWD/xFgY/FCVXP5G8BT/cFVU/8BYGP6QGUz8WJgc/zFFRP+zaCD+oQlA/JuoKP0boTz9d+Qw/qEJQPzWuDj/MUVE/V70PP6MGUz+T1Qw/hJZQP8FsDj9Ak1E/fWkPP24qUz+9vQ8/3BVVPybqCj9FQlA/fWkPP0kBVz/AbA4/eJhYP5LVDD8zlVk/JeoKP3LpWT+5/gg/NJVZP4lnBz94mFg/zmoGP0kBVz+OFgY/3BVVP81qBj9uKlM/iWcHP0CTUT+4/gg/hJZQP9puBz+QmlE/vAIJP9GfUD8l6go/NkxQP43RDD/Rn1A/cGUOP5CaUT8uYA8/cy5TPxC/DD9bylA/y7MPP9wVVT/eQw4/JLxRPy1gDz9E/VY/bIYPP9sVVT9wZQ4/J5FYP6Y1Dz/H6lY/jdEMP+aLWT8l6go/gN9ZPxC/DD9cYVk/vAIJP+aLWT8l6go/ILJZP9luBz8okVg/OhUJP1xhWT8adAY/RP1WP26QBz+Ub1g/gCAGP9wVVT8adAY/cy5TP+FNBj/bFVU/pZ4GP/BAUz87FQk/W8pQPzQQBz9CalM/QOMHP/YOUj8n6go/lnlQPzUQBz91wVY/jD4JP+s7UT8/4wc/wRxYPyXqCj9+9FA/CvENP/YOUj8WxA4/QmpTPxbEDj91wVY/CvENP8EcWD++lQw/zO9YPyXqCj86N1k/mdjfPiTqaj93jeA+FN1oP3C55T6YtGU/56riPrspZz+5K+o++VJlP5cR5j4DG2Y/uSvqPpXAZT/bRe4+AxtmP4us8T67KWc//MnzPhTdaD/YfvQ+JOpqP/vJ8z4092w/BZ7uPrAfcD+KrPE+japuP7kr6j5PgXA/2UXuPkW5bz+5K+o+tBNwPzYK4j7m+m4/mRHmPka5bz/oquI+japuP3aN4D4092w/4n3mPgUobz/dgOM+kT9uP/mv4T4QwWw/+a/hPjgTaT/egOM+t5RnP+J95j5ErGY/k9ntPkOsZj+T1vA+tpRnP3qn8j44E2k/eqfyPhDBbD+S1vA+kT9uP5LZ7T4EKG8/AwBAPvz//z4CAAA++v/fPq2vez54OuE+AQCAPv7//z4Orj0+skjCPgEAAD78/78+DVp4PqQMxD6cMJo+PoThPgIAoD7+//8+IiU9Ptgnpj4BAAA++v+fPjmydj7QPqo+8pGUPsggrD7xAD0+5GeQPgAAAD4AAIA+vUx2PqZblj6CLJQ+5MeYPiAlPT7CJoY+AQAAPvj/fz44snY+IDaKPvGRlD4wAIw+Dq49PhxHgj4MWng+/P+DPk5Ulj6OsoQ+N7M+PhivgD4CAAA++P9/PgMAQD74/38+q697PsQxgT4CAKA++P9/Pp4wmj7kQIE+L3+wPqB7fz7ON8A+dNxfPqekqD6MUow+9064PtbLgj4yI6g+xHGZPqikqD4ssqw+YC+2PhqHmT7Jk7Y+tNasPjV/sD7CouE+3fO7Pjy14T48OcA+DDQAPwIAwD7//w8/AQDAPv//Hz9o6sE+5LjhPgBewz7jOAA/qfrBPv//Hz8CAMA+//8vP5MSxD4cBxA/1kDEPv//Hz/fAsI+Fuk/PwIAwD4AAFA/SEvEPtz6Lz8BAMA+AABgP8ZMxD7p1j8/3wLCPqfbXj8CAMA+AABwP8ZMxD6hXU8/AADAPgAAgD9yAcI+2st3PwIAwD4AAIA/VkzEPmXgaj+M/cE+Dex8P0RJxD6Y0HQ/AgDAPgAAgD8h4ME+56d/P67HwT4AAIA/LR/EPq75fT934MM+xGJ/P1WPwz4AAIA/gxrHPhOacz95Zck+8DR/P6Yexz4AAIA/warKPlVVcz+sMc4+hT5/P/5WzT4AAIA/FcPOPnuJfT9mBs8+wfF5P6Ubzz7gmXM/e+DTPsRifz9SH9Q+rvl9P0ZM1D4Dz3Q/rMfZPgAAgD8EAOA+AACAP4MH2j4Qw3c/qz/gPogNbz8EVNQ+2ttqP5Cq5j5S3m8/nJnmPgAAgD+ktOY+L+FfP0lS4D6UgV8/8rjmPgLvTz9VWeA+a85PPya65j54+j8/dLrmPk7/Lz9kW+A+xvE/P4Ep2j4MlE8/PVnUPlvzXT9+uuY+AAAgP+9b4D44/i8/OCvaPo7jPz94uuY+sAAQPwNc4D4AACA/sivaPnD8Lz+yXNQ+VdU/P0y65j6HBQA//FvgPsYBED/AK9o+AAAgP/Nc1D6q+i8/77nmPuoh4D7FW+A+OA4AP7wr2j6OAxA//VzUPgAAID/JueY+OD3APgtb4D7CYuA+jyvaPnEcAD/4XNQ+VAUQP5TA5j6GQaA+4FjgPq75wD7DKto+wtbgPuJc1D6qKgA/ywLnPiD2fz63UeA+pM2hPkRc1D4+TOE+07znPmBwPz47WdQ+pAzEPsUe6D6Q//49267nPhDzfj2cmeY+AAAAtBvW4D5AnXg9TuPgPuDK9D0cvN8+wMJzPQIA4D4AAAC01RvfPmCT7D1lst4+AM1vPdt83T6gHuY9Pa3cPgDpbT2qXts+4FNPPp652T7KS44+7r/YPrBIfT5oTdQ+7P2pPvQh1D5G/5Q+gRfaPgQXQj7kXdM+AGN2PsAL2j78CR0+5QvTPtiUYT5L9NY+OCofPiCh1z5IeuQ9H+jSPoBzRz6sx9k+AAAAtIkt0z6gcOc90F/TPgB6cD2vCM4+gM9xPf5WzT4AAAC0ZHXOPih36T3anM4+9BElPv2kzj4ETks+o1rJPsC5cj2mHsc+AAAAAIAiyj5otOo9QmvKPoRTJj4Ycso+sDVNPvjewz4gLHY9VY/DPgAAALQ8E8Q+YM3vPYwExD4wnSs+flrDPpAfVD7tvcE+NMYzPgIAwD74/z8+GOvBPijd9j0CAMA+wP9/Pa3HwT4AAIC0+OnBPizhbj7cbcA+CjyBPt5gyj4ETmk+C+PFPtBWgD7Esc4+uP1mPvXIzj7o7nw+I+fOPiqfiT4jc78+xnGZPvKTxT7OVZk+ZKS/PuLYrD6YR8o+2AOZPiGmxT6az6w+f1DKPuqcrD5YAs8+9gGYPgASzz6K86s+thnPPq7oxD70Hs8+CpHhPqcizz5bMwA/wCTPPmoGED+uJc8+AAAgP/8lzz6a+S8/7iXPPtbMPz+ZJc8+lDdPPx0gxz7H8Wk/yiTPPrGIXT8Csso+DLxpP5kizz418Wk/chcAP/j/Pz7aFQA/+P9/PuUbAD/o//89UhUAP/z/nz4wFQA//v+/PigVAD/+/98+JxUAP/z//z4nFQA//v8PPygVAD8AACA/NBUAPwAAMD+PFQA/AABAP+cWAD8AAFA/QBsAPwAAYD/PJAA/AABwPzUzAD8AAIA/PCUAP+D/fz01MwA/AAAAtAIAAD76/98+AwBAPvz//z4Orj0+skjCPgEAAD78/78+ra97Png64T4BAIA+/v//Pg1aeD6kDMQ+IiU9Ptgnpj4BAAA++v+fPjmydj7QPqo+nDCaPj6E4T4CAKA+/v//PvKRlD7IIKw+NX+wPsKi4T6opKg+LLKsPoIslD7kx5g+MiOoPsRxmT69THY+pluWPvEAPT7kZ5A+AAAAPgAAgD4gJT0+wiaGPgEAAD74/38+OLJ2PiA2ij7xkZQ+MACMPqekqD6MUow+Dq49PhxHgj4MWng+/P+DPk5Ulj6OsoQ+N7M+PhivgD4CAAA++P9/PgMAQD74/38+q697PsQxgT4CAKA++P9/Pp4wmj7kQIE+L3+wPqB7fz7ON8A+dNxfPvdOuD7Wy4I+7b3BPjTGMz4CAMA++P8/PvjpwT4s4W4+YC+2PhqHmT7cbcA+CjyBPsmTtj601qw+I3O/PsZxmT5kpL8+4tisPt3zuz48teE+PDnAPgw0AD8CAMA+//8PP2jqwT7kuOE+AQDAPv//Hz8AXsM+4zgAP6n6wT7//x8/AgDAPv//Lz+TEsQ+HAcQP9ZAxD7//x8/3wLCPhbpPz8CAMA+AABQP0hLxD7c+i8/AQDAPgAAYD/GTMQ+6dY/P98Cwj6n214/AgDAPgAAcD/GTMQ+oV1PPwAAwD4AAIA/cgHCPtrLdz8CAMA+AACAP1ZMxD5l4Go/+SDHPiU4Tz+M/cE+Dex8P0RJxD6Y0HQ/HSDHPsfxaT8CAMA+AACAP4Maxz4TmnM/IeDBPuenfz+ux8E+AACAPy0fxD6u+X0/d+DDPsRifz9Vj8M+AACAP3llyT7wNH8/ph7HPgAAgD/Bqso+VVVzP6wxzj6FPn8//lbNPgAAgD8Vw84+e4l9P2YGzz7B8Xk/pRvPPuCZcz974NM+xGJ/P1SP0z4AAIA/Uh/UPq75fT9GTNQ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"), 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"), 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"), 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"), 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FOj+Wurk+cwnRPZcONz/yY7U+89n8PYSLOT+Wurk+Fs83PlCaMz+Wurk+01/YPVCaMz+Wurk+G6PsPWomKj+Wurk+c60tPmomKj+Wurk+3N0HPgCeJz+Wurk+zFedvvcDjj8sAQi/gfOgvtpsiz8/bw2/ZoGivuCmiD8aPw6/CvqgvvP7jD8C+Qq/vJaivgzlhT/isg6/ZoGivjkjgz8ZPw6/gfOgvj9dgD9Abw2/ZoGivi8Tfz8Jtgq/FnudvvrihT+VZhC/zledvguUfD9HMQu/jwChvqaRfD/mAAi/QieevnHmez/lAAi/CvqgvkucfT/KCAW/gfOgvj9dgD+MkgK/vJaivgzlhT/rTgG/Fnudvme1hT8MY/++ZoGivt6miD+zwgG/E4CdvknjhT/SLgC/E4CdvhIPiT8ctwC/gfOgvthsiz+NkgK/ZYGivoBAjD/ESwW/GHudvvoriT+0PAC/jwChvkaBjT/mAAi/kECZvqTkID+7Kdi+ZgWUvvAdIz/kMc6+Rj+ZvuwmHz/kMc6+20GZvnUdJj9NbOC+QyeUvsiSJD/Cwda+kECZvrqGLj8UjeW+QSeUvsiSJD8EosW+20GZvnUdJj9597u+QyeUvkr1Lz/kc7q+Rz+ZvkqtOD/+ILW+kECZvtrTQj+x1ra+20GZvh49Sz9597u+QyeUvsrHTD8EosW+kECZvvJ1UD8IOsS+ZgWUvqg8Tj/jMc6+Rz+ZvqgzUj/jMc6+QieUvszHTD/Cwda+20GZviA9Sz9MbOC+QyeUvkhlQT/g7+G+Rz+ZvkqtOD/JQue+49tMvvKSoj8PTCe/OThTvssgpD84HCS/adtPvojSpT9h7CC/I+4xvljmpz+KvB2/gmIfvuq5pz8llx6/VgERvpK6pj9h7CC/0QEOvvx6oz8PTCe/HjEavpIZoj9MoSm/GO8rvitnoT/leyq/sAglvhxeHT8MYLI+hO0pvjbNGD8MYLI+sQglvk48FD8MYLI+SmYFvmarDz8MYLI+XEXmvZvkED8MYLI+yYfLvU48FD8MYLI+yYfLvRxeHT8MYLI+XEXmvdC1ID8MYLI+SmYFvgTvIT8MYLI+RX/dPUboSz8gWaw+5Z3tPWikSj8mA64+vGwZPp4sSz8GO68+CnrKPczHVD8gWaw+za/OPSRnUj8GO68+ILsIPjDlSj8sra8+O/cdPh4YTT8sra8+hXLXPbR1UD8sra8+j3LdPR8oVj8sra8+vD0SPqpGWz8gWaw+IwISPg8PWz8mA64+8RYAPiR3Wj8GO68+4YAQPpunWT8sra8+O/cdPiu2Vz8sra8+OjksPszHVD8gWaw+zForPmQVUD8mA64+1kqfPnt5jT/LeAC/1kqfPu5Fiz9iI/i+DxGjPr+/iz8OCve+1kqfPh6sij8e4uW+1kqfPu5Fiz/JFOC+1kqfPps6jD9MGdu+DxGjPhKejD8op9y+1kqfPtDsjj9U39S+iKajPty7iz9hBee+1kqfPk57kD98DdS+1kqfPs0Jkj9U39S+iKajPooBjT8ENd6+iKajPty7iz/MMvG+1kqfPgK8lD9MGdu+DxGjPopYlD8op9y+1kqfPq+wlT/JFOC+1kqfPn5Klj8e4uW+DxGjPqDClT+/c+a+1kqfPn5Klj8MVvK+1kqfPq+wlT9iI/i+DxGjPt42lT8OCve+1kqfPgK8lD/hHv2+DxGjPsw2kz9RCv++1kqfPs0Jkj9rrAG/DxGjPk57kD8D/AC/iKajPhL1kz8nA/q+iKajPqE1jz/eGf++DxGjPtG/jT9RCv++iKajPk57kD/Mcti+iKajPsE6lT9hBee+ybexPonddD86NQS/ybexPtVxeD/FsAW/5l+2PqzLeD9+YQS/5l+2PiDAcj8F5AC/ybexPuxubz86jf2+ybexPjoQgD/FsAW/5l+2Pp7Gfz9+YQS/ybexPmDagT86NQS/ybexPmHzbT+iZPa+5l+2PqhCbz/1sPW+ybexPu1xbT8Dtu6+5l+2PqhCbz8Ru+e+ybexPuxubz/K3t++Uhi3Pu6RcD9I/fS+ybexPrHKcT8audm+5l+2PiDAcj/8o9u+ybexPonddD+TAdW+Uhi3PpG1cz/cjt2+5l+2PqzLeD8IqdS+ybexPiRJfD+SB9G+5l+2Pp7Gfz8IqdS+Uhi3Psdsfz+WR9e+ybexPjoQgD98CtK+ybexPmDagT+TAdW+5l+2PhXpgj/8o9u+ybexPq6RhD/K3t++5l+2PtGnhD8Ru+e+ybexPi6QhT8Dtu6+ybexPnRPhT+iZPa+5l+2PtGnhD/2sPW+5l+2PhXpgj8F5AC/ybexPsxjgz912QG/Uhi3PoEleT84EgO/8M6IPhip8j6kM+++sPaNPvJu+T41uvK+9d+SPnC+9j7qnO++9H6TPspZAD8N7vO+BiuKPiRO6z42UOe+C/yAPsBh6D6+SOK+s+2cPt/5AT/qnO+++C6ePglfBz+kM+++xbJ9PpCT5T7Cxdm+JiSFPnqz5D4g8Ni+2z18Ppye5D5to9C+JiSFPnqz5D66Vsi+C/yAPsBh6D4c/r6+iLWHPhip5j5+Gti+pWGEPjbY7D77rre+i0uHPgBl6z5eS7i+8c6IPhip8j42E7K+BiuKPiRO6z6k9rm+AzuMPsCZ7D5LPry+9d+SPnC+9j7wqbG+9H6TPspZAD/NWK2+s+2cPt/5AT/xqbG+yxqdPndiAT86x7S++C6ePglfBz82E7K+oqKlPgWyBz+k9rm+RJyiPntHCj/7rre+ChmoPq4+Cz+ybL++hySoPs3pDT8Ygce+gamqPlf/Cj+6Vsi+/d6oPkhkDj9to9C+F3WpPrt/CT9cLMm+gamqPlf/Cj8g8Ni+3wGmPreCDD++SOK+oqKlPgWyBz82UOe+m++kPmeHBj+PCOW+RJyiPntHCj/gl+m+1Q+UPpzj9j6gf+y+NENAPob4LT/yY7U+sd0zPlqaKD/yY7U+IbA3Pj6hKz/KJbk+AeVBPucRMT/yY7U+x4Q9PucRMT/KJbk+QfIpPjSzJj/yY7U+I8InPr6lJz/KJbk+Rno7PpcONz/yY7U+IbA3PpCCNj/KJbk+QfIpPphwOz/yY7U+I8InPg5+Oj/KJbk+c60tPmT9Nz+Wurk+Fs83Pn6JLj+Wurk+IyEcPgCeJz+Wurk+A2UePtSiPD/yY7U+gP8RPkcLPT/yY7U+gP8RPjjzOz/KJbk+7bsGPlCUOz/KJbk+p0X1PZwvOz9Ej7c+m0LgPXKJOT/yY7U+23LmPWvDOD/KJbk+c/TMPecRMT/KJbk+/DPEPecRMT/yY7U+lXfHPYb4LT/yY7U+01/YPX6JLj+Wurk+v53YPT6hKz/KJbk+m0LgPVqaKD/yY7U+t3n4Pb6lJz/KJbk+fRn0PTSzJj/yY7U+gP8RPpQwJj/KJbk+/ZkFPvmAJT/yY7U+UxcePnbJJT9Ej7c+F3udvvbUjT9srQS/FnudvhBvjj/TAQi/FXudvs8LjD+a7QG/F3udvvBBgj/0SQC/FXudvtjWfj/qAwK/GHudvphiez+VxQS/FnudvqJSej9HFgi/F3udvqCdez+UZQu/FXudvkY6fz8RIw6/GHudvst3gj9K1g+/F3udvg5LiT9E0w+/FXudvmAcjD+iGw6/GHudvrLbjT+jVwu/E4CdvjcQiT84Sw+/E4Cdvlmwiz+JsQ2/E4CdvoVRjT+AHQu/E4CdvoLcjT/uAAi/E4CdvvjkhT/N0w+/E4CdvkNRjT9q5AS/E4Cdvrqviz+KUAK/E4Cdvp23gj+XtwC/RSeevg3lhT+kMwC/E4CdvkoXgD9eUQK/E4CdvqLsfD9R5QS/E4Cdvn7Xez+yAQi/E4CdvtPufD8FHgu/E4CdviIZgD/QsQ2/E4Cdvpu5gj9VSw+/M2efvtIlgD+tpQ2/BmifvoHAgj8kPA+/1WifvgzlhT+nww+/BmifvpgJiT8kPA+/M2efvkWkiz+tpQ2/BmifvixCjT/7Fgu/CvqgvhPriD8t9w6/1WifvivMjT/lAAi/BmifvixCjT/R6gS/M2efvkakiz8eXAK/Cvqgvvb7jD/JCAW/BmifvpgJiT+qxQC/1WifvgzlhT8kPgC/CvqgvhLriD+fCgG/BmifvoDAgj+pxQC/jwChvg3lhT+yhwC/M2efvtIlgD8gXAK/Cvqgvgffgj+eCgG/BWifvtoPfT/Q6gS/1Wifvtn7ez/lAAi/BWifvtgPfT/7Fgu/CvqgvkucfT8D+Qq/CvqgvgXfgj8u9w6/AmmivvTlgD8A6Qy/jwChvgzlhT8aeg+/ZoGivjETfz/DSwW/AmmivvTlgD/MGAO/AmmiviTkij8A6Qy/ZoGivoBAjD8Jtgq/AmmiviTkij/MGAO/UZaWvv53ID/iMc6+q6CWvhUgIj/Qo9e+BquWvpwVJz+aeN++q6CWvhoPLz9OV+S+UZaWvkmtOD/D9+W+rKCWvnhLQj9PV+S+BquWvvhESj+aeN++q6CWvn46Tz/Qo9e+UZaWvpTiUD/iMc6+q6CWvn46Tz/3v8S+B6uWvvZESj8r67y+q6CWvntLQj92DLi+UZaWvkqtOD8AbLa+rKCWvhoPLz93DLi+BquWvpwVJz8r67y+q6CWvhUgIj/3v8S+9U2Uvm7gKD+8rb6+9U2Uvm7gKD8Jtt2+QieUvkr1Lz/g7+G+9U2Uvih6SD8Jtt2+9U2Uvid6SD+7rb6+QSeUvkplQT/mc7q+gY0oPlHPTT8gWaw+nbYiPkboSz8gWaw+FMYnPhrsTT8mA64+yRMiPvsQTD8mA64+vD0SPp2HST8gWaw+TacaPmikSj8mA64+ILsIPnw3ST8gWaw+BXH+PZ2HST8gWaw+IwISPjq/ST8mA64+ILsIPg5xST8mA64+N+j+PTq/ST8mA64+n7fsPYxySj8gWaw+f9HRPVHPTT8gWaw+7cTePfsQTD8mA64+WWDTPRrsTT8mA64+/fjHPSRnUj8gWaw+5zbMPWQVUD8mA64+jMXJPSRnUj8mA64+5zbMPeW4VD8mA64+RX/dPQPmWD8gWaw+WWDTPTDiVj8mA64+n7fsPbxbWj8gWaw+BXH+PapGWz8gWaw+7cTePU69WD8mA64+5Z3tPeEpWj8mA64+N+j+PQ8PWz8mA64+ILsIPs2WWz8gWaw+ILsIPjpdWz8mA64+bxobPrxbWj8gWaw+gY0oPvj+Vj8gWaw+TacaPuEpWj8mA64+yRMiPk69WD8mA64+FMYnPjDiVj8mA64+gY0oPvj+Vj8gWaw+wHktPiRnUj8gWaw+zVorPuW4VD8mA64+eZMsPiRnUj8mA64+wHktPiRnUj8gWaw+gY0oPlHPTT8gWaw+HPsoPjCQVD8GO68+WR4qPiRnUj8GO68+G/soPhk+UD8GO68+PaUlPr46Tj8GO68+7VYgPjKATD8GO68+8cImPiRnUj8sra8++LwiPiqmTj8sra8+Cb8XPq7mSz8sra8+T18RPiZXSj8GO68+4YAQPq4mSz8sra8+8RYAPiZXSj8GO68+XvUAPq4mSz8sra8+BRPwPZ4sSz8GO68+bW7zPa7mSz8sra8+pT7iPTKATD8GO68+B6LXPb46Tj8GO68+j3LdPSqmTj8sra8+R/bQPRk+UD8GO68+m2bVPSRnUj8sra8+R/bQPTCQVD8GO68+B6LXPYuTVj8GO68+hXLXPZVYVD8sra8+pT7iPRdOWD8GO68+Cf7mPSu2Vz8sra8+BRPwPayhWT8GO68+XvUAPpunWT8sra8+ILsIPvK/Wj8GO68+ILsIPhnpWT8sra8+vGwZPqyhWT8GO68+Cb8XPpvnWD8sra8+7VYgPhdOWD8GO68+PaUlPouTVj8GO68++LwiPh8oVj8sra8+sHihPlSMjT+DNwC/sHihPkJVjD9EtPy+1kqfPh6sij8MVvK+sHihPpJmiz8C2Pe+1kqfPh6sij8e4uW+sHihPobQij8IL/K+sHihPlmdij8VHOy+sHihPobQij8kCea+sHihPpJmiz8qYOC+sHihPkJVjD/mg9u+sHihPlSMjT8lyde+sHihPpL2jj/2cNW+sHihPk57kD8+pNS+sHihPgoAkj/2cNW+sHihPklqkz8lyde+1kqfPn5Klj8e4uW+sHihPluhlD/mg9u+sHihPguQlT8qYOC+sHihPhcmlj8kCea+sHihPkRZlj8VHOy+sHihPhcmlj8IL/K+1kqfPiJ9kz/LeAC/sHihPguQlT8C2Pe+sHihPluhlD9EtPy+sHihPklqkz+DNwC/1kqfPk57kD9YFQK/sHihPgoAkj+bYwG/sHihPk57kD/2yQG/1kqfPtDsjj9rrAG/1kqfPnt5jT/LeAC/sHihPpL2jj+bYwG/DxGjPmTlkT+unAC/DxGjPjkRjz+unAC/DxGjPhKejD8Ekfu+iKajPk57kD9fxf++iKajPiUGjj8JI/2+iKajPpI5jD+68PW+DxGjPv0ziz9rxPG+DxGjPv0ziz+/c+a+iKajPvyQiz8VHOy+DxGjPr+/iz8cLuG+iKajPpI5jD9yR+K+DxGjPtG/jT/aLdm+DxGjPjkRjz/S/ta+iKajPqE1jz9OHtm+DxGjPmTlkT/S/ta+DxGjPsw2kz/aLdm+iKajPvvAkT9OHtm+iKajPnjwkj8iFdu+DxGjPt42lT8cLuG+iKajPgu9lD9yR+K+DxGjPkvylT8VHOy+iKajPqBllT8VHOy+DxGjPqDClT9rxPG+iKajPgu9lD+68PW+DxGjPopYlD8Ekfu+iKajPnjwkj8JI/2+DWi0PgoMdT+u5AO/DWi0PnUMcj+xlwG/DWi0Pne/bz85MP2+ybexPmHzbT9kB+e+DWi0PjhNbj98NPa+DWi0Pu/ObT8Dtu6+DWi0PjhNbj+IN+e+DWi0Pne/bz/NO+C+DWi0PnUMcj+jPNq+DWi0PgoMdT+potW+DWi0PuiJeD8ovtK+DWi0PiRJfD+WwdG+DWi0PjEEgD8ovtK+DWi0PiDDgT+potW+ybexPnRPhT9kB+e+DWi0PupCgz+jPNq+DWi0PmlphD/NO+C+DWi0PokihT+IN+e+DWi0Pq1hhT8Dtu6+DWi0PokihT98NPa+ybexPmDagT86NQS/DWi0PmlphD85MP2+DWi0PupCgz+xlwG/DWi0PiDDgT+u5AO/ybexPiRJfD85Mga/DWi0PjEEgD/uVgW/DWi0PiRJfD851QW/ybexPonddD86NQS/DWi0PuiJeD/uVgW/5l+2PiRJfD8f1wS/5l+2PhWLdT+gCAO/Uhi3PiRJfD8GfAO/Uhi3PqM4dj8G3AG/5l+2PoabcD8gMvy+Uhi3PiDIcT8H1/q+5l+2PgbNbj8Dtu6+Uhi3PiEocD8Dtu6+5l+2PoabcD/kOeG+Uhi3PiDIcT//lOK+5l+2PhWLdT/FWte+Uhi3PqM4dj/4s9m+5l+2PiRJfD/IvdO+Uhi3PiRJfD/8c9a+5l+2PpqDgT/FWte+Uhi3PtMsgT/4s9m+5l+2PmH7gz/kOeG+Uhi3PhVlgz//lOK+Uhi3Pi0AhD+8bui+5l+2PqLihD8Dtu6+Uhi3Pi0AhD9I/fS+5l+2PmH7gz8gMvy+Uhi3PhVlgz8H1/q+5l+2PpqDgT+gCAO/Uhi3PtMsgT8G3AG/GZ2LPnAR8T4adO6+i0uHPgBl6z58++i+OvuDPoIK5z4o2uG+xbJ9PpCT5T4Ygce+8+WBPuhN5D6EjNm+DzCBPvBe4z5to9C+8+WBPuhN5D5Wuse+OvuDPoIK5z6ybL++Gp2LPnAR8T7A0rK+iaSQPtas9z5IYq++IgqWPu7D/j74Na6+um+bPoTtAj9IYq++LHegPjY7Bj/A0rK+hySoPs3pDT8Ygce+ucikPm8RCT9eS7i+Ui6qPvucDD9Wuse+NeSqPnUUDT9to9C+Ui6qPvucDD+EjNm++C6ePglfBz+kM+++ChmoPq4+Cz8o2uG+ucikPm8RCT98++i+LHegPjY7Bj8adO6+9H6TPspZAD8N7vO+um+bPoTtAj+T5PG+IgqWPu7D/j7jEPO+8M6IPhip8j6kM+++iaSQPtas9z6T5PG+0+aXPhRZ/T6itPC+xzCOPv6W8D7QaOy+UJWYPkbU/D44e+2+O9mPPpZa8T76nem+3RSHPgxA5z4IrOC+TXSJPgr06D5TD9++u3qEPujU4z5to9C+JR2HPuTg5T5to9C+3RSHPgxA5z7RmsC+TXSJPgr06D6HN8K+xzCOPv6W8D4K3rS+O9mPPpZa8T7gqLe+0+aXPhRZ/T43krC+UJWYPkbU/D6iy7O+4JyhPpcNBT8K3rS+ZFGhPvwmBD/gqLe+ybioPg+5CT/RmsC+UbanPkFaCD+HN8K+7FKrPqJuCz9to9C+eQ2qPtXjCT9to9C+ybioPg+5CT8IrOC+UbanPkFaCD9TD9++4JyhPpcNBT/QaOy+ZFGhPvwmBD/6nem+UnY6Prw6Kz9Ej7c+cgkzPmrPKD9Ej7c+A2UePvmAJT/yY7U+LFwpPjL0Jj9Ej7c+/ZkFPvmAJT/yY7U+gP8RPpBjJT9Ej7c+rucFPnbJJT9Ej7c+p0X1PTL0Jj9Ej7c+G+vhPWrPKD9Ej7c+WRHTPbw6Kz9Ej7c+drvJPfILLj9Ej7c+lXfHPUgrND/yY7U+UYzGPecRMT9Ej7c+drvJPdwXND9Ej7c+WRHTPRLpNj9Ej7c+fRn0PZhwOz/yY7U+/ZkFPtSiPD/yY7U+G+vhPWNUOT9Ej7c+rucFPlhaPD9Ej7c+gP8RPj3APD9Ej7c+UxcePlhaPD9Ej7c+Rno7PpcONz/yY7U+LFwpPpwvOz9Ej7c+cgkzPmNUOT9Ej7c+UnY6PhLpNj9Ej7c+AeVBPucRMT/yY7U+RSE/PtwXND9Ej7c+17hAPucRMT9Ej7c+Rno7PjYVKz/yY7U+RSE/PvILLj9Ej7c+JQk8PsziMz/KJbk+JQk8PgJBLj/KJbk+kcUwPmJgKT/KJbk+iyQ5PucRMT+Wurk++uUzPkQtLD+Wurk+BZIlPkiYKD+Wurk+E0MdPn6PJj/KJbk+7bsGPn6PJj/KJbk+gP8RPqRIJz+Wurk+89n8PUiYKD+Wurk+23LmPWJgKT/KJbk+CTLgPUQtLD+Wurk+s+vPPQJBLj/KJbk+57TVPecRMT+Wurk+s+vPPcziMz/KJbk+v53YPZCCNj/KJbk+CTLgPYj2NT+Wurk+G6PsPWT9Nz+Wurk+t3n4PQ5+Oj/KJbk+3N0HPsyFOj+Wurk+gP8RPirbOj+Wurk+E0MdPlCUOz/KJbk+BZIlPoaLOT+Wurk+kcUwPmvDOD/KJbk++uUzPoj2NT+Wurk+uQUrevV5I/2ECwF8lnvf/e4IyHp2ek/9YAWBdqp5QP3YCySm6496+C4P5Z32kWv3dhF1kXWRQ/fmHS2PJZH59iQm14sVj9P3OARFc/950/0dDO+BLIJq/koGgKK4iOf7oAzkfZV92P6YC/l//H/o/wAAPGL/f///SgZ+Xdl3vPvYC9pZ6XDT93UKcoO6g8L8aAPOiQ+DOvsuDxli2W759qQHLoREhGb7dhGJboluQ/emBE2EHYS5+ggEvIa9g5v65h3RcAlua/ckJid0E3B6+IEitXlGd+f7wx3/f/9//v+BIkmGJYi8+z8AMI0ggEr/JwKocWp84/4nAo6M4oHn/BhIlKkDuLbm+B02jzGREff7OP24Z7gj44MRg5GNkT33Ng/3nd+RZvfeCzemso95+LEpYMiSsarjTQaUopeI5/tsT9SaEq3f7Tcm3osTj/73lSJMhiWIyfvXHf9//3/+/5Uisnlnd+f78gz30TSTMfP8Gg7QO6RC6bYMmC7sZqD2EAD/zkyA3/8AANad/3/+/00Gal3Zd8n73gvHWetw/vc2DwdizW4R9wY38UiHSRnkgxF7bnFuPfdwGiAxlVMD7p0oZDmTSUDn+B3IcB9uZvc3JiB0TXB5+FtGd1fPT6fkmFBlcyFtlPNQTrBleVz46RVOGIChf+7/HFHZjDmZnfYX07LV////v70J/OD///+/7O/S5P///794Cef+////v2PjX9j///+/fBNV0f///7+NIuTL////v/5MW9v///+/sDUDz////7/so/Lr////v6O+c9v///+/pGjs8////7/5uf9/////PyJnEKv///8/3JgQq////z//f/m5////PxCr3Jj///8/7lTcmP///z8FRv9/////PyJn7lT///8/7lQiZ////z/cmO5U////PxCrImf///8//38FRv///z8apORbJNlsk72q9zWR9EiEFa33ZWdP+DFZtbNxg/DinAea6VL///8/S46lSv///z8pvf9///+U3v9/1UL///8/Fa0HmvDjs+dZtUuOg/Ab4/dl6VKXMPhxs3GlSsY5QXjpUvdll7AGzuRb5FvapmzTpUqzcf///z/VQv9/////P5FnK9sih5u5GqQapP///z+lSkuO////PweaFa3///8/6VIHmv///z/kWxqk2qaRrEuOWbX///8/92UVrQ2cs6f/fym9Kb0AALNxWbV6jxuj5NvKN9omJJnk2zTI////v/fl4jhZs/gxs/FaPHsPXpv+/9VCAACUnrPxpMN7D6Dk9+Ucxw4cUubp0uI4////vzmLvaqa+WW26dIcx////7+lylo8////v6XKpMP///+/1MLVQv///z/Uwim91UKVHlm8pUpBSeNcWbxZtTjGXpvhuOlSpUxLWOG4Fa1nz6yZybfkWyTZ2ubJtxqkJNkkmeG492Xw41Lm4bgHmv///z9ZvLNx////P1m8S47///8/1ML/f////z/k28o32iYkmW/F3woXCfm19+XiOFmz+DGz8Vo8ew9em+nS4jj///+//v/VQgAAlJ6lylo8////v9TC1UL///+/WbylSkFJ41zhuOlSpUxLWMm35Fsk2drm4bj3ZfDjUuaz8aTDew+g5OG4B5r///8/Wbyzcf///z/Uwv9/////P1m8S47///8/9+Ucxw4cUubk2zTI////v+nSHMf///+/pcqkw////79ZvFm1OMZem9TCKb3VQpUeybcapCTZJJnhuBWtZ8+smfG9zBeSAImnnZOdE////z+TyRkdQ8DfRD+xGxT///+/OqNyEv///78K9ErnMjXR32DU0yNGFD7mh973KxUfk+sp6Kg1WioU8FLxLEFSNtzzWPWmilh1UwX2+fJO////vy3+IKP///+/fPi1mf///79I5oKH1J1Phd3c0YFBrrGG8s73ea+8CYkZnZNJPvYhoCzBUnH///8/p7UpaP///z/2q4he////P9KjYVT///8/QFmdO2DSKqdxkjsj5iGtR8yX8T1s/3XYGpRAMQwrkUQapORbJNlsk1m1s3GD8OKcFa33ZWdP+DEHmulS////P0uOpUr///8/5FvkW9qmbNP/f9VC////P7NxpUrGOUF492XpUpcw+HHpUgea////P+lS92WXsAbOpUqzcf///z/VQv9/////P6VKS47///8/j7qPur31Gfspvf9///+U3lm1S46D8BvjFa0HmvDjs+capBqk////PweaFa3///8/S45Ztf///z//fym9Kb0AALNxWbV6jxuj92UVrQ2cs6fkWxqk2qaRrB4Jboagh8D84XDd8OHwkcduDmeGiIix/EF2CsUO8BXIqRJ6g3mFLP5/eHGpAuv1yuUi5aLloozu3RHGfpp+Qf8yeZuTZ9db1bs4NXe+ce/45UQB9pLvIsi8eLJsZS2M1YB3KFeSGQ7MQgbuiHOGzPxEKRT4jOnXygkGfo1shsr8dBOo+JfUxdQBAP33KoDp/6AD05AXhPj9CwBvcPF/8/9oE30HzCnH1Q0pXwhpFnXLiwPqbwZ8vP1fBS90Unor/OUiGV0ZXYzuLkQPC+0R1cipdBs8lhNbyZoERHuae7j6lAYRe117O/ppCrF6+XqH+s0PvHvAe0H8qy+A0iq5tt67DjTbT5bN8AAA77P7f/r/gFJTUNRGtt41W0Nxr2nN8PAz/38DgPr/XwVTI8326NXyUeTSstLX1onXhstctRKvSGO7sRbRvstIY0NOFtE/tLbE/3/+/1riLNuRZyz9J4eRZ9Mk6oTIxv9/HVDc/wnA0ySRZ7+NNMLnjgF8/v+wx1R1VHVa9ADA5479g/7/sMdpeCONh/f9v/c1varOjM28boupqlL8wLaPuo+6vfUa+/7/2w4AAGzHQdXF9PkGtMlvxeAKFwn5tdqOI/EyAD3/247bDt3y/805i0FVaPjQyRzQ/3+j/x/oRetpeP7/A/mp6qqK/P/RhRfx5ZICALz9APzlkgAAsIcc0B1Q6f/4/1T1qWoCANGF/v/bDgAAbMf2tcX0Twy9yQD85ZIAAE34ZIzTJG3yPclU9alqAgDRhWSMkWeU+xTJGO0Xcfz/vP0Y7QF8/v9N+N+Kj7qB9vm1VPVVlQIALfqp6qqK/P/RhSLw24/+/wCAZIwr2zfzCbYhMcUYXi6M28vPYETjCCj63Xr4Y6bPjKJOxuM9ywaG+1W+iUFN/caBFcBnSxv31oXy0qFPtAI5/rOY84vQy4agIcoYyik9p+BOruCs8MQ0n+/JklIw+XaEB8pBVQz5OYYs222Ylfsf+f9/2w7djpDG9zVBVQyMysORZyvbIoebuf2D5478/0LC9zW9qs6MzbxpeCONh/f9v+eO/YP+/7DHF3H9g5vw/r9UdVR1WfQAwKqKVHX8/yy6AXwXcXf7AMDwBfSFUoYI/U0bTNDFr4zoygi6uECO7/jcKp/KVbmD4wAAiUv3f/X/yghER+5x8vhNG7IvHVEj6Ckb004yX5fv7xD4f/t/7/8YBcN46npT+5E8bUNtQ7bhsm5dEcYRncigSiJVqUaD401QsmQ5UIzodTT/fweA9f8UAEaTA4DF/7s4yYgQjvL4Bk+ygIuBcP9iUuCM8qjt5E1QTJvhriPoKzEom8ygl+8uA99qEXtK/pE8kbyRvLbhgFKrr5nCh+NUIlSib6LZ7htEG8RFxAneH1lqnqO04euCMMqa16Aa8DVbu45Cnvv0yxqBsOKfo+9rHh/ZaKio5bIIK7hRjfj4AAAOJzqA6v+7DsokvGH79Gse3yZbS+Hryxp9TydfGvCrL34tZT2H41Qiql2PXdnuG0TjO7k7Cd6CMDRlHGCi7x9ZlGGWV6jlLDhMd61y+PjxWP9/xH/q/ywJGcd77PnimhwmwaDTPOo+NK3EvMVX5HJzyuzB8p3G2Zww5KHjB7LyvqfRWsSGqZDrO86Vwta8Iv2723fTEcXx9SgBwfKdxkNOtpyGur3MSDv/f0e7/r9DTkhjhrpAs/9/SDv+//+/tpxDTn/oc9e7sUhjgea74ruxtpyB5kOdtpy7sX/oi6j/f7bE////v29Fb0XjiRPF5l6rRj61gsUOlYZb+/nWz9MkbZhPjpW+HVD/f+PPLMD/fyNw/v//v6qKVHX9/yy6F3EBfJzw/7/bcpWHBvL+v22YK9uJ8mL9e5L6xLDtBuWQdKmqcO3swf2D5o78/0LCqoqqiv3/0cUs222YlPsf+frEg226/leXQdU5C/IGS7b2tTkLbQv/tYXbd0YDBinzZIzTJG3yPck4i/c1rfO8yd+Kb0XW9QXKXcWuYs75K5FkjJFnlPsUyRntF3H8/7z92o7/fyP/zcdkjG2YK/1tt6nqVHX8/y36F/EZbQIAQoLfio+6gfb5tV3FUJ1s+e/uOIsHyl70DrZkjCzbN/MJtubJqaok/KT40qSa83UNVsn2tcX0Twy9yYXbh7nABeqMb8Uf9UEKBcrw6oe5HAVzlJDnmvNqBBTJ/v8dUFsAH+hU9VWVAQAt+gD8GW0AAE348Op3RqEFrusi8P9//v/thxnt5478/0KCQdU5C/IGS7aQ52QM0gJtt5D05klqA13pruJdRZIG7+73tTkLbQv/tZDnmvNpBBPJkPQYtsYCx5ZB1cX0+QazydKkZQznDCa2VNXmSdoDpPjajtsO3fL/zebJVVVS/GiHOYv3Na3zvckX8RltAgBCgt+Kb0XW9QXKXcWuYs75K5E5i0FVafjQyanqVHX8/y365smQdDj9x5bajv9/I//Nx+bJbouU/F3pGe39g/7/sIdkjG2YLP1ttzmLvaqb+WW2XcVQnWz57+44iwfKXvQOtubJqaok/KT42o4j8TIAPf/SpJrzdQ1XyVTVGLasA2iHruKhujAGK5FvxR/1QQoFygD8GW0AALCHoid3EDcvfNwHHCEFHTH43YvRvyzlGtjwZfdLC5Qyxd6uwEckThgf9UI61h+yLVLaTuBmOroWBO9l5j3fAjdM4GJEvyZdLXbZKK5GIrcLaftkUZsu7tW5pEWiKS5e9KyEKGC8RV/SQ6aJwVY+sQI4/jpn3k7v0f6k04EeOfvefJmHb11YC9HGo0akr0Dq5wiL471PRjP5d4S+rItRg+Vcj0uLZnffzXKhZrpPYMDpJpFfxMxPG/fWhcCgmJlsycmfMs05bD3x4Y6Tp+Oj8sZYn5jEQ5iY1XST5rXdteDDGp9c5Q1zN/rxhrm/RMARAXX/oM/yUkr9xIEM81xl+gUS+R7Tr9HSO8DgOOwzTR4PMvGR0u9JzgaI+xvca9i+ObbgZ8sWQOMIKPos25FnLP0nh4+6b0Xn9nmFeKTwal36INcj8f9///9th+Gv/3+j/wzYvar3NZH0SIQOlYZb+/nWzwfKvaoF+cb5eKQOleL6/ai9qgfKr/No/A6VeKQ++jSwqoqqivz/0cXnjgF8/v+wx/2DF3H8/7u9bZgs24nyYv3/fyPxzP/ZwP9/4a/p/xDAkHSpqnDt7MHmXlO5pbRDum9Fj7qOikC7rmJQnU3XSMMdUP9/488swNsO/3/BjmzA0ySRZ7+NNMIXcQF8nPD/v4Zb8Gr60XC9b0VvReOJE8XwaoZbaOAevUFV9zUphyfG/38dUN3/CcCRZ9Mk6oTIxnuSBDtv7bu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"), 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"), 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"), 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"), 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") 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1+R+O/oKIbXvaIsH9goise1ogcP6CiEF1dSLh/YKIrHtaIHD+IImXgScjOP0hieiBrSDj/SGJbXvaIsH9IInoga0g4/1rinyHXiNI/GyK3ofxIOv8bIqXgScjOP1rit6H8SDr/HWM2oyLI/f6dox8h14jSPx1jONplCHX/DqNbW8tJLX8OY03aq0jDvw7jVNvAyKU/WWMLHWtJPb8ZYxBdXUi4f1kjG1vLSS1/GWMQXV1IuH9Q4wxexcl1PxDjG172iLB/UOMLHWtJPb8Q4xte9oiwf28jDaBWiVR/LyMMXsXJdT8vIyXgScjOP3FjfCGfyVy+8aNfIdeI0j8xo02gVolUfzFjXyHXiNI/HOPGoyVJTz6dI/ajIsj9/p1j/CGfyVy+3KPN2qtIw78MpKMbwQmlvsxkm1vLSS1/DCSsWpqJRf7M5Jtby0ktfy2kRV1lybD+7aRLHWtJPb8tZGMbwQmlvu3kSx1rST2/K+R+XoGJ537r5EVdZcmw/uvkTF7FyXU/BCS3YBAJyH7EJI2gVolUfwQkvl6Bied+xCSNoFaJVH80pJohk0nXPrSkvCGfyVy+9OS3YBAJyH70ZLwhn8lcvsClEGLPidX+QSUaIZNJ1z6AZRgaaQTHv00jEFs1BZY/jSMdG3sE3v+N4zuZ4kW//wxjHRt7BN7/jKHR3EmFzT/MocvcjkUW/8zh0Fs1BZY/jGHL3I5FFv/N4TCdnoXlv83hFp3iRTB/zeER3EmFzT/N4Rad4kUwf91g3V8zheB/3WDuXzYFLH/dYPCdnoXlv91g7l82BSx/9SEJIIeGPn+1IR1fM4Xgf/UhBOCJBUu/0WHkYdmGAH+RYcvh2cVOv5FhySCHhj5/kWHL4dnFTr+qop/jKQYnfyqitOLoRXa/KqKkYdmGAH+q4rTi6EV2vygj7GQ0xjP+qCPxo/NFQ/7n49/jKQYnfyhj3+MpBid/OOOcpHSG4j6446xkNMYz/rijgmNoBtX/OOOCY2gG1f8YY7okbIeMvphjnKR0huI+mGOVo1/Hv/7YY5WjX8e//t1jvCRWyHI+XWOTI0qIYz7dI5MjSohjPu0j3GRtiNG+bWP8JFbIcj5to/ajIsj9/qzj9qMiyP3+kiSeZCzJa74SZJxkbYjRvlLkhqMlSU8+kaSGoyVJTz6RZYmj0MnDvhHlnmQsyWu+EmWQYs+J1f5Q5ZBiz4nV/lLm+eNOyiK91ObJo9DJw74V5vViocoLvhGm2iGTSdc+pya1YqHKC74nppBiz4nV/mfmiqGxSjy+Jua3YBAJyH7ApoqhsUo8vgDmqqA0Sib+QKa+XoGJ537i5mqgNEom/mLmd2AQCch+4uZxHqeKA76ipkVdZcmw/s1mcR6nigO+jSZ+XoGJ537NJnhdCcoPfo1mYxvBCaW+wyZ4XQnKD36DJkVdZcmw/sMmWlvficr+g2ZsWpqJRf7Cplpb34nK/oJmclquibn+QqZvWb9JDn6IZnJarom5/kgmbFqaiUX+x+ZwGcWJpb5I5nBZU0j+vq7kzdqrSMO/LqTvWb9JDn6vJMwZTkhpvtMjzdqrSMO/EuP42mUIdf8So/BZU0j+vpNjydl1h4w/EuM6GktH3L9SYwwZTkhpvtMjK1lNhyS/M+K6GktH3L9zopeaogc3/3Oiidl1h4w/M+KpmZrGdT8wYowa7kZKP7Biq1lNhyS/MCK7meJFv/8X4swa7kZKP5fi0Fs1BZY/mGLpmZrGdT8XouldTcEtPwnloh3sgVJ/iqWL3ggBFz9MJaudKcFff0ili94IARc/YiSr3rCBbP+ipIOexkEtv2Okoh3sgVJ/oWSDnsZBLb9w5D4feUFuf7EkK96wgWz/sKQE34xBLr9JpE8gSAGWf4lkRCBcARj/SSR+H3lBbn+JpEQgXAEY/2Jk1GEagaa/YiT3IPIBLz8iJM8gSAGWf6Jk9yDyAS8/IaXEIevBoD8hpdLhiYFz/uIl1GEagaa/YSXrnSnBX39+5C8dosH7/7+kIh3sgVJ/gWRj3NpBxD+9JCId7IFSf6QjDd6rwdg/5KMvHaLB+/+jIyvesIFs/5xitV92wdk/3KK+H3lBbn+dIo3eq8HYP9wivh95QW5/hSLbYEWCP3+E4vVfdsHZP8VizyBIAZZ/hiO1oRWCC3+F45RhGoGmv0Wjm2BFgj9/hmOUYRqBpr955Lqh44I+PznktaEVggt/ueSj3NpBxD+SI3ddaoJVv9Ljbx2iwfv/lKNXXJ5CXD+Qo28dosH7/56iDd6rwdg/4GI3XWqCVb/dog3eq8HYP8ehqh9EgrK/x+Gr3ncCcn/HYbVfdsHZP8qh5uBTgpc/yqHbYEWCP3+KIeofRIKyv8rh22BFgj9/qyKXoWJCoH+rIrWhFYILf6qipuBTgpc/66K1oRWCC3+w4/GiLsKPP3Dj+qHjgj4/MKPXoWJCoH+xY9dcnkJcP7GivZ0CQyH/8eK3XWqCVb/zIolcc0Ln/7Bit11qglW/wiGIHlGDPn/CYavedwJyf8NhvZ0CQyH/wWGr3ncCcn/p4N0fYQM9v+ng6h9EgrK/6mDIHlGDPn/pYOofRIKyv8zhcOBwgyC/zOFdH2EDPb/NIWbgU4KXP/aiN6F/Ayf/tmIXoWJCoH+2IjDgcIMgv/biF6FiQqB/ryNmIktDU/9vI3GiLsKPP26jd6F/Ayf/r6NJXHNC5/+RIn2dAkMh/9JiepvWw6p/kGJ9nQJDIf/6oSLeOMO///rhCB5Rgz5/+2ECnSeDpD/6IQgeUYM+f/rgjp9KA/4/+yCi3jjDv//6oJ0fYQM9v+shOOBag9+/6yEw4HCDIL/q4Q6fSgP+P+thMOBwgyC/xGIVoalD5T+EYjehfwMn/4PiOOBag9+/xKI3oX8DJ/+ioxfitcPPf2JjJiJLQ1P/YiMVoalD5T+i4zqb1sOqf5YiB1zXRF9/1iICnSeDpD/W4iubhQRmf5WiAp0ng6Q/4eE83eoEef/h4SLeOMO//+IhB1zXRF9/4aEi3jjDv//HIP7fPIR3P8cgzp9KA/4/x2D83eoEef/HIM6fSgP+P+8hP2BOBJd/7yE44FqD37/vIT7fPIR3P+8hOOBag9+/7qHxYZ4Em7+uof9gTgSXf+6h1aGpQ+U/sOLHYutEhL9w4tfitcPPf3Ci8WGeBJu/sSLnXRcAzT7q6CldTcEtPypoDx2FgOm+6KgoHM0BLf7sqA8dhYDpvtMnS94IARc/U+dmXjVAhj8U52ldTcEtPxHnZl41QIY/J+aDnsZBLb9oZpMe7UCW/ylmi94IARc/ZuaTHu1Alv8LZkTfjEEuv0umQ57GQS2/SyZI37EAlr8Z5kQgXAEY/1nmfOABwMN/GeZE34xBLr9aJnzgAcDDfw5m9yDyAS8/DqbkYNzA4L7O5sQgXAEY/04m5GDcwOC+y2eS4YmBc/7Lp7cg8gEvPwpntCF9wPQ+sKhVIdpBDP6tqFLhiYFz/vHoUuGJgXP+3+dVYnXBgz7f50ziFwFnPqHnRCHrwaA/HmdEIevBoD8tJmBirEIYfu1mVWJ1wYM+7qZ6oeOCPj8sZnqh44I+PyxlqeL3QqQ+7GWgYqxCGH7s5bGiLsKPP2wlsaIuwo8/V+UwIxQDZb7X5Sni90KkPtelJiJLQ1P/V+UmIktDU/9t5LNjfwPfPu3kl+K1w89/biSX4rXDz39eJHOjtUSS/t4kc2N/A98+3eRHYutEhL9eZEdi60SEv14kMaPzRUP+3iQzo7VEkv7d5DTi6EV2vx5kMWGeBJu/iuL04uhFdr8K4sdi60SEv0qiy+HZxU6/iuL/YE4El3/focvh2cVOv5+h8WGeBJu/n6HE4IkFS7/f4f7fPIR3P/UhBOCJBUu/9OE/YE4El3/04S5fNgUsf/UhPN3qBHn/1uDuXzYFLH/W4P7fPIR3P9bg1p3iRTB/1qDHXNdEX3/XIRad4kUwf9chPN3qBHn/12EL3I5FFv/XISubhQRmf60hy9yORRb/7SHHXNdEX3/tod0bewTe/6yh9xq0BA5/RiNdG3sE3v+GY2ubhQRmf4cjWBppBMe/RWNW2wbDkf9MI7qb1sOqf41jtxq0BA5/SyO222TCz/9m4/qb1sOqf6bjyVxzQuf/qKPW2wbDkf9lY9cb0YJFf2LkSVxzQuf/oyRXXJ5CXD+lZHbbZMLP/2DkdlwQAfC/EKUXXJ5CXD+Q5SPc2kHEP5PlFxvRgkV/TeUSnKMBUn8uJfZcEAHwvyrl6BzNAS3+/ibrnSnBX39+ptKcowFSfzsm1hrDxb85w4Ddm84GYDmDgNIavUY5ucOA0ZwTRaX5g8DSGr1GObnnAF5accb5ueaAXZvOBmA5p4BeWnHG+bnqAB1bsEepealAAlpcB4G6KoA024QHIDmowAJaXAeBuj2A2huPCH85vEDDmnfIFDo+wN1bsEepebtAw5p3yBQ6C0IkW5zI4/nJAhvaQQjyug1CGhuPCH85hwIb2kEI8rorQ3EblslbOiaDflpzyR56bwNRnBNFpfm7gEodYYZheXuAXZvOBmA5u0Bs3WWFp/l7gF2bzgZgOa3ALZ0ZByE5bgA024QHIDmtgAodYYZheW4ANNuEByA5j0BaXQeH6zlOwF1bsEepeY/AbZ0ZByE5ToBdW7BHqXmKgRJdKMhCuYnBGhuPCH85i0EaXQeH6zlJQRobjwh/OYxCER06SOr5iwIkW5zI4/nNQiRbnMjj+e3DUR05SWe568NxG5bJWzovA1EdOkjq+aqDbN1lhaf5VwBH3vbGfnkXAEodYYZheVcAWJ75hYY5VwBKHWGGYXlQwDfer0c9+RDALZ0ZByE5UMAH3vbGfnkQwC2dGQchOWIAaR6ex8f5YgBaXQeH6zliQHfer0c9+SIAWl0Hh+s5UIEcXoFIn/lQgRJdKMhCuZDBKR6ex8f5UEESXSjIQrmMAhFek8kJuYvCER06SOr5jAIcXoFIn/lLghEdOkjq+a7DSR6USYg57kNRHTlJZ7nvA1Fek8kJua5DWJ75hYY5UIBG4EyGuHkQgEfe9sZ+eRCARaBORcD5UIBH3vbGfnkKwAOgRYd2+QrAN96vRz35CsAG4EyGuHkKwDfer0c9+SfAeWA0R8B5Z8BpHp7Hx/lnwEOgRYd2+SfAaR6ex8f5VYEn4BVImDlVgRxegUif+VWBOWA0R8B5VcEcXoFIn/lQghOgJYkBuZDCEV6TyQm5kIIRXpPJCbmyw0MgI8m/ebMDSR6USYg58sNToCWJAbmzA0WgTkXA+WeAdyGiRo+5Z4BG4EyGuHkngGQho4XZeWeARuBMhrh5GwA/4ZrHTTlbAAOgRYd2+RrANyGiRo+5WwADoEWHdvkhAHphiEgVeWDAeWA0R8B5YQB5YDRHwHlbASRhpcisOVsBJ+AVSJg5W0E6YYhIFXlawSfgFUiYOVvCBSGxSRM5m0IToCWJAbmcAiRhpcisOVsCE6AliQG5usNoIWkJjHn6Q0MgI8m/ebsDRSGxSRM5ugNkIaOF2XlfwIhjNwaFeZ/AtyGiRo+5X8ClovfF0HmfwLchokaPuUUAXKMvh0G5hUB/4ZrHTTlFAEhjNwaFeYWAf+Gax005SoBbYxtICDmKQHphiEgVeUsAXKMvh0G5icB6YYhIFXlcwQFjNYicOZxBJGGlyKw5XYEbYxtICDmbwSRhpcisOWkCFGL6yT45p8IFIbFJEzmqAgUhsUkTOYTDomKoya65wkOoIWkJjHnGA5Ri+sk+OYDDpho+xLm6fkFWGsPFvzn+QUnZ+AVyun6BYtsJxMb6PcFJ2fgFcrp6ARIavUY5ufoBN9lwhi26egEWGsPFvzn6ATfZcIYtukcA3lpxxvm5x0D6GSPG7PpGwNIavUY5uceA+hkjxuz6V0AeWnHG+bnYQBnZDQeyumGAw5p3yBQ6IIDeWSeIAPqigMJaXAeBuh+A3lkniAD6iMIFGW6IlrqKwgOad8gUOgUCBRluiJa6q4N+WnPJHnpnA1vaQQjyuiMDRxmdSTI6joUKGoyJnnq6BP5ac8keem0E/lpzyR56fcUKGoyJnnqDBXEblslbOg5FS50jyfz6C4VvW7sJqbpPxVEdOUlnucoFUR05SWe51oVDXoDKHvoWBUudI8n8+hbFSR6USYg52cV9n85KFHoaBUNegMoe+hnFQyAjyb95mgVDICPJv3mXxX2fzkoUehgFaCFpCYx5z4VNIr/J8DoMBV+hTMobehFFYmKoya65ygViYqjJrrn2hRRjbwnH+mbFDSK/yfA6PwUUYvrJPjmcg6FjrsmnehkDomKoya6530OBYzWInDm8QjMjyElD+jsCFGL6yT45vYIupAaI6Pn5whtjG0gIOZXBLqQGiOj51QEBYzWInDmWQRyjL4dBuZ3ADCRuCBj53YAbYxtICDmeAAjkQweU+d0ACGM3BoV5kQCI5EMHlPnRAJyjL4dBuZDApaL3xdB5gcEq5AqG2nnBwQhjNwaFeYHBOmPKhia5wYE6orcFHrmDgXpjyoYmucNBZaL3xdB5g8F/o4jFdbnDAUvho4UmuVFA5aL3xdB5kUDkIaOF2XlRQPqitwUeuZFAwWBPxQz5ToCkIaOF2XlOgIWgTkXA+U6Ai+GjhSa5ToCpXvwE0PlygEWgTkXA+XKAWJ75hYY5coBBYE/FDPlygFLdqQTx+XkAbN1lhaf5eQBpXvwE0Pl5AEvcWATuuaNArN1lhaf5Y4CRnBNFpfmjQJLdqQTx+WOAotsJxMb6NsDRnBNFpfm2gNYaw8W/OfbAy9xYBO65toD7XSbAxfrqxasdvgEI+m+FuZz/QQ46n8WaHd4AzLq6hbmc/0EOOqsENF1xAZW6LQQunK1BonpmBC6crUGiekiDH5xvAgE6RkM0XXEBlboLgx+cbwIBOm4CPpzNAtX57kIQHAMC6botAjndNoIwOe9CEBwDAum6G4GC3PGDRHnbgYCb5cNZ+hsBvpzNAtX528GAm+XDWfoAgUdcoQQ4OYCBcVtTxA96AIFC3PGDRHnAgVod3gDMuovFcd5/gRo6DcVrHb4BCPpHxU9emgDkelHFax2+AQj6dAOPnncBonn1A7RdcQGVujGDsd5/gRo6N4O0XXEBlboKAqseAEJ5uYrCud02gjA5yMK53TaCMDn3wYWeGULdebgBvpzNAtX59wGrHgBCebm4wb6czQLV+e6BAtzxg0R57kEFnhlC3XmvAQLc8YNEedxA+V2wxDx5XEDHXKEEODmcQN+d/8NJ+ZyAz16aAOR6ToUDH0dBQroPBTHef4EaOg4FD59fAM96T4Ux3n+BGjovg3YfAYHIue/DT553AaJ570NDH0dBQrowQ0+edwGiecYCaF8Mwl55hkJrHgBCebmFwnYfAYHIucaCax4AQnm5ukFZnyfCwHm6gUWeGULdebpBaF8Mwl55uoFFnhlC3Xm3AMofEAOreXcA353/w0n5twDfnf/DSfmpQLoewkRc+WlAuV2wxDx5aUCKHxADq3lpQI+fXwDPekIFFSAXAUO6AgUDH0dBQroBxQ/gL4DP+kJFAx9HQUK6JINdIBEBybnkw3YfAYHIueSDdh8Bgci5/EImYBzCXnm8QihfDMJeebxCHSARAcm5/EIoXwzCXnmxgW5gOEL/uXGBWZ8nwsB5sYFZnyfCwHmugPWgIYOp+W6Ayh8QA6t5boDuYDhC/7lugMofEAOreWGAu+AVBFn5YYC6HsJEXPlhgI/gL4DP+meFHWDsAV06KMUVIBcBQ7okxQUgyAEkumvFFSAXAUO6E4O64OPB5XnUQ50gEQHJudIDnWDsAV06FgOdIBEBybnsglphLkJ6+a0CZmAcwl55q8J64OPB5XntwmZgHMJeeZxBuOEJwxv5nIGuYDhC/7lcAZphLkJ6+Z0BrmA4Qv+5VQEV4XNDhXmVQTWgIYOp+VUBOOEJwxv5lUE1oCGDqflEgPFhZ8R0uUSA++AVBFn5RIDV4XNDhXmEgMUgyAEkunAFUiGBgY86cwVdYOwBXTonBWUhYsEMur1FXWDsAV06NMPFYfZB3Ho2A/rg48HlefDD0iGBgY86eoP64OPB5XnWQvnh/4J0OdaC2mEuQnr5lILFYfZB3HoYgtphLkJ6+b5B7OIawxW5/oH44QnDG/m9gfnh/4J0Of9B+OEJwxv5roFd4kTD/zmuwVXhc0OFea5BbOIawxW57wFV4XNDhXmWQQ0iugRtuZZBMWFnxHS5VkE7XSbAxfrYB//cqwDRuzqHZt1jwI57Gcg/3KsA0bsXhjmc/0EOOpnGJ1x+QSq6ysY7XSbAxfrnhidcfkEqusxE7pytQaJ6TMTInClBh/rJhN+cbwIBOn6DpxupAiv6voOunK1Bonp+w6cbqQIr+qHC0BwDAum6IcLF23tCl/qiQt+cbwIBOmFCxdt7Qpf6hoJlGtzDSnqHQlAcAwLpugYCZRrcw0p6oIHxW1PED3oggcCb5cNZ+iABxRqJxAE6pIGi2wnExvokgaYaPsS5umUBsVtTxA96JAGxW1PED3oPwQvcWATuuY/BItsJxMb6D8EHXKEEODmPwQdcoQQ4ObPAkt2pBPH5c8CL3FgE7rmzwLldsMQ8eXPAuV2wxDx5RQCpXvwE0PlFAJLdqQTx+UUAuh7CRFz5RQC6HsJEXPl9wEFgT8UM+X3AaV78BND5fcB74BUEWfl9wHvgFQRZ+V1Ai+GjhSa5XUCBYE/FDPldQLFhZ8R0uV1AsWFnxHS5aAD6orcFHrmoAMvho4UmuWgAzSK6BG25qADNIroEbbmmgX+jiMV1ueaBeqK3BR65psFBo4sEhbomAV3iRMP/OZ9BgaOLBIW6H0GNIroEbbmfwaziGsMVucGCAaNVA9d6AYId4kTD/zmCAj8i6kMt+gECOeH/gnQ52kK/IupDLfoaQqziGsMVudqCueKOwoq6WcKFYfZB3Ho0Q3nijsKKunRDeeH/gnQ59ANSIYGBjzp/hHJiRYIvun/ERWH2Qdx6PQRqIhFBm3qChKUhYsEMuofF6iIRQZt6iUXSIYGBjzp8xaSh9QEK+tbFzCFbwNi63MdkofUBCvrqB2UhYsEMuqwHOWC4QL96oEdlIWLBDLqmx0UgyAEkulEHT+AbgLD6tocFIMgBJLp4Rw/gL4DP+nKHOWC4QL96vIcbH0pAsfqfhw/gL4DP+l+HD59fAM96XwcP4BuAsPqfxyYeh0CEeu3HD59fAM96bgcPXpoA5HptBztd0MClOt8HT16aAOR6YYdaHd4AzLqZx2Yeh0CEeubHZt1jwI57IgeaHd4AzLqqx7tdJsDF+s7Hj1y8ANN+tCsOG8JBbv40Kx7cFIFrfrPrE1xkwOC+NCse3BSBa36Mqo5bc0G9fgxqrxuCQcH+y6qOG8JBbv4Naq8bgkHB/urp0dr2ggg+amn/WwPCUj7o6c5bc0G9fixp15pKQs0+UalQWtcC2n7PKVHa9oIIPlTpUFrXAtp+yCjfGewDTP5HKNeaSkLNPkro4lp4g1u+zKhoWVhECT5LqHUZ5QQYPskoXxnsA0z+T2hcG7KBIr2GbU4bwkFu/g1tbRwRANu9u+0OG8JBbv4fbNKbJgGpvaJszltzQb1+KOzcG7KBIr2Y7M3aqwIuPbssUdr2ggg+f2xSmyYBqb21LFHa9oIIPlIsDFo/wq89kqwXmkpCzT5TrA3aqwIuPZFsF5pKQs0+bCuNWaHDbX2rq58Z7ANM/mprjFo/wq89rWuQ2Q4EKT2Iq2hZWEQJPkZrTVmhw219jCttHBEA272Er0ebqMENfQ2vXBuygSK9na9cXAZAzH01LxwbsoEivaTvOprdgYz9Li8SmyYBqb2+bwebqMENfRUvEpsmAam9gm8y2mMCCv0J7w3aqwIuPZZvOprdgYz9Ni7N2qsCLj2bLu6Z+EKH/R9uzFo/wq89pi7y2mMCCv0UbsxaP8KvPa9urZlaQ0O9MW6NWaHDbX2z7q6Z+EKH/SzujVmhw219gq6u2MaEPvzCrpDZDgQpPYKurZlaQ0O9Aq6P26gBNjxfcUebqMENfTpxR5uowQ19LDFFmxtBrjx78Xqa3YGM/Rcxj9uoATY8UbFAWp/CJXxTcbLaYwIK/SjxhZsbQa48cXFy2mMCCv0csb6Z9EKd/GWxrpn4Qof9MvGAWp/CJXxPsa6Z+EKH/S/xv5lWA1e8dTGtmVpDQ708Ma2ZWkNDvQGxwtkCRBG8RDHu2MaEPvzHcf+ZVgNXvH5xoVwHAPt8RPN2W65BI/vcc0/bqAE2PEmzvJwRgPE72PMP26gBNjxzM7UbHgGT+8czxZsbQa48bjP2W65BI/vMs4WbG0GuPEg0N5qgQgR71nQAWp/CJXxxNDUbHgGT++2zwFqfwiV8TbR8mjOCuLuXNH6Z9EKd/Gd0d5qgQgR7/bQ+mfRCnfxPtIPZ1QNv+5V0v5lWA1e8XjS/mVYDV7xQtM0ZQUQo+5O0wtkCRBG8WHTD2dUDb/uL9PycEYDxO9I1fJv3QR47bPV2W65BI/vwNa7cYMD2O081NluuQSP7yfYK26OBhPtatjUbHgGT+8k2dRseAZP7wjaZmyPCLvsLtreaoEIEe+W2itujgYT7Z/Z3mqBCBHveNumatgKe+yP2/Jozgri7sjbZmyPCLvsPtvyaM4K4u7R3OtoXA1O7N7cD2dUDb/u/NwPZ1QNv+4h3jZnDhAu7CjeNGUFEKPuN97raFwNTuwS3p10XAM0+9qnPXLwA03606egczQEt/u7pxl06gIW+vKnoHM0BLf7K6R7cFIFrfoppEpyjAVJ/BekPXLwA036PqS8bgkHB/uooNlwQAfC/Jege3BSBa36u6DZcEAHwvyGnf1sDwlI+4SdXG9GCRX9dp28bgkHB/uVnVxvRgkV/cSaQWtcC2n7w5r9bA8JSPvRmtttkws//YeYiWniDW77hphbbBsOR/18mEFrXAtp+5GYW2wbDkf9spbUZ5QQYPuxltxq0BA5/amWiWniDW77upbcatAQOf0tlSVmZRNI+yyVYGmkEx79JpXUZ5QQYPs0ldRnlBBg+36fzWMwEw75ep8lZmUTSPtxn6FlYRAk+YifoWVhECT5uKtYYgYTjvayq81jMBMO+airQ2Q4EKT2wqtDZDgQpPZbuclh6BLl81i5WGIGE472VLm7YxoQ+/NfubtjGhD781DHIGLXEjDxVcfJYegS5fNaxwtkCRBG8UrHC2QJEEbxRNRfY9QSi+5L1CBi1xIw8VXUNGUFEKPuOtQ0ZQUQo+5l34dl3xIT7GnfX2PUEovucd82Zw4QLuxe3zZnDhAu7KTomGj7EubppOiHZd8SE+yo6BRqJxAE6qDo62hcDU7se+c2Zw4QLuyF55Rrcw0p6nPnpmrYCnvsQuaUa3MNKepF5utoXA1O7FfmF23tCl/qL+ZmbI8Iu+z65Bdt7Qpf6gDlpmrYCnvsJuWcbqQIr+rT5CtujgYT7ZzjnG6kCK/qpuNmbI8Iu+zx4/Jv3QR47enhInClBh/r++Erbo4GE+2U4p1x+QSq60zhu3GDA9jtIt+dcfkEqutQ3/Jv3QR47X/g/3KsA0bs492bc4ACAu7f2P9yrANG7E3Zu3GDA9jtrtowcyAC0+9o0btxgwPY7bXR8nBGA8TvVdKbc4ACAu7H0PBy5AHt8UPL8nBGA8TvfsuFcBwD7fHpyzBzIALT79nK6HLaASb03sSFcBwD7fEFxXFwGQMx9EvF8HLkAe3xmcQecwsCWfZ9vXFwGQMx9JS9tHBEA272v73octoBJvRUvYlzawJg+Em2tHBEA272U7ZNcZMDgvhoth5zCwJZ9jW2GXTqAhb6C69NcZMDgvgMrz1y8ANN+g+viXNrAmD4CK/UhRsDX/nzrpCDpwHo9++ugINpAuD5564LhnsCiff8roCDaQLg+Ret6IAVAUD4F63ogOgBUPoVreiA6AFQ+surJH7JAHv4y6spfqEBlPrLq+iAFQFA+MurKX6hAZT6u6tYe8UAjPi7q2F7mQGc+ryrJH7JAHv4u6uZeAkBf/jirLJ4zQF0+uGsWHvFAIz446yyeM0BdPqHrvp1lAFm+IeuPnY7AjX6hq6ZeAkBf/iHrguGewKJ96i2noMpAbT1r7aQg6cB6Pe9tpCDpwHo9x+15YCNAPb1J7XogBUBQPg6tZ6DKQG09Q21Fn4+ACj2tLMkfskAe/i4s+WAjQD29bCzJH7JAHv4qbM/ezwAQ/aqs1h7xQCM+K6zFn4+ACj2pbNYe8UAjPj0tHB4iABO9va0mXgJAX/4+rQ/ezwAQ/bwtJl4CQF/+D62tXUiAVH2Pbb6dZQBZvg7tnB4iABO9kC2NIYPAm71+L2Wg/AAYPMMvp6DKQG09Ta+NobcAS/zz72egykBtPWovNWAUQCN88C85YCNAPb1+LyWg/AAYPN0vAB+AQC38wm7Fn4+ACj2FLvVgFEAjfP8uhZ+PgAo9ve6JHsAANzz+ro/ezwAQ/YCuwB+AQC38++6P3s8AEP2dLxNeE4A+/N2vHB4iABO9nm8JHsAANzzcLxweIgATvZ2vYt17AAU9HK9tXUiAVH2aL1NeE4A+/OAvW2D/wAJ8SPFloPwAGDzcMUFhucB7vC1xJaD8ABg887DsoBjACHx+MPVgFEAjfNgxG2D/wAJ8XLD1YBRAI3zHcLjfRMAQfElwgB+AQC38zvCsoBjACHxC8IAfgEAt/P+wQ17EQBv8QPCJHsAANzzEMLjfRMAQfHywSR7AADc83fDP3hfAKLxd8NNeE4A+/N4ww17EQBv8XfDh3X6ANHxRsSLdewAFPQyxD94XwCi8WTEBYbnAe7wxMoxg1YByu4Jy22D/wAJ8aXLsIUuAs3uQ8qFgMIAyu6TyrKAYwAh8UTLMYNWAcru0cmygGMAIfFJycB9dQDg7lTJ430TAEHxdcmFgMIAyu4yyeN9EwBB8RHJ9npyABfvF8kNexEAb/EpycB9dQDg7gPJOni5AGHvyck/eF8AovHPyfZ6cgAX78HJP3hfAKLx3smfdUcBqu/RyYd1+gDR8bfJsIUuAs3ug9D4gvUBv+y20DGDVgHK7mTRUoWtAuzsbtAxg1YByu4C0VqAcAGj7DXRhYDCAMru7NH4gvUBv+zV0IWAwgDK7gDRmH0nAa/sCNHAfXUA4O4o0VqAcAGj7PTQwH11AODustDSeiAB7+y30PZ6cgAX78XQmH0nAa/sq9D2enIAF+8t0Cp4WgFU7TfQOni5AGHvUdDSeiAB7+wb0Dp4uQBh70DPvHXNAcPtQ8+fdUcBqu9Kzyp4WgFU7TnPVIdpBDP6YKnUhRsDX/lOqdCF9wPQ+i6p0IcGBAf5ganQhfcD0PqhpoCDaQLg+ZumkYNzA4L7j6bUhRsDX/muppGDcwOC+1qk6IDoAVD6WKTzgAcDDfxUpPOABwMN/PKiKX6hAZT68qIjfsQCWvzyoiN+xAJa/NOiYXuZAZz606JMe7UCW/zSoil+oQGU+tSisnjNAXT6/qOZeNUCGPz6o2F7mQGc+gSkmXjVAhj8EKY+djsCNfoNpjx2FgOm+wemsnjNAXT6FaYZdOoCFvqVqJ10XAM0+5SoPnY7AjX6lag+djsCNfqrr4lzawJg+K2vGXTqAhb6sK/6dZQBZvior/p1lAFm+MG2HnMLAln2w7aJc2sCYPjGtrV1IgFR9r62tXUiAVH2sb3octoBJvS0vR5zCwJZ9rq9i3XsABT0rL2LdewAFPSYxPBy5AHt8ZzE6HLaASb0pMSHdfoA0fGQxId1+gDR8RLKMHMgAtPvEsrwcuQB7fETyp91RwGq7xHKn3VHAarv7c6bc4ACAu7qzjBzIALT7+TOvHXNAcPt8s68dc0Bw+2Y1gZ03QLK7OPVm3OAAgLuB9WbdY8COexI2Cp4WgFU7d/Xm3WPAjnshNe8dc0Bw+331u13QwKU66XYKnhaAVTtbtiYeh0CEes/2Zh9JwGv7IvZmHodAhHrhdnSeiAB7+x+2Wx9KQLH6s/ZmH0nAa/s1Nk/gG4Cw+rf2fiC9QG/7GjZP4BuAsPqTdlagHABo+xc2eWC4QL96vLZUoWtAuzsmtjlguEC/epD2PiC9QG/7B7YU4ebA/PsE9cwhW8DYuug1lKFrQLs7HzW9IdLA7XumtBSha0C7Oyt0LCFLgLN7tbQU4ebA/Psc9CwhS4Cze6HywWG5wHu8ITL9IdLA7XujMuniBMD+/LHxQWG5wHu8L7FNobcAS/zrcVsiBkDxfDZxZqIQAMy9aS+NobcAS/znb40hg8CbvWRvqeIEwP78rC+ToiWA0P3ibc0hg8CbvWFtwuGewKJ9323mohAAzL1kLfQhwYEB/llsAuGewKJ91+w1IUbA1/5VbBOiJYDQ/dvsAOSiidl9n6iSZYrJp/0fqLfk+wlyfaJohCU5idn9HOi35PsJcn2mZ4LleYjO/ejnkmWKyaf9I6eC5XmIzv32JyQlYUhqffcnJuXESTu9NOckJWFIan36Jx3ldceB/jonCKYoyFE9eecd5XXHgf4+53hlPQbWPj7nfuX7h6V9fud4ZT0G1j4ZJ8/lgAZJvZkn/ST8hif+GWfTJcFHOD1Y58QlOYnZ/QQrUmWKyaf9DOtV5UmKDLy9qxJlismn/STqZuXESTu9Kypu5dWJkryfqkimKMhRPVWqB2ZKyR68kio+5fuHpX12aijmbEhuPLbqLOYBhw88yaqTJcFHOD1JqpymfMe+fImqkyXBRzg9ZirP5YAGSb2m6u7l1YmSvKOuSmYWibo72+5HZkrJHrykrgSmqghHvCUuI6ZKCT77464o5mxIbjy4LjcmeYeT/DduHKZ8x758te4EpqoIR7w57gYmfYbivChubOYBhw885y5k5f+GIDzc7q8lTMo6e9XzimYWibo7wrNipctJpjt4cyOmSgk+++3yxKaqCEe8L7L6pgAJIzttcsSmqghHvADyzuZxR607fzK3JnmHk/w8MpumYQhle0Ry3uY1xvl7aTKGJn2G4rwl8pbl84YI+5myvGX7RjL8F/Ke5jXG+XtdMoolf8nsO2P3emV2iVy68vdtZOZJ6nrC92Kly0mmO1n3TaXvCNI63Hd6ZXaJXLrMd3qmAAkjO0y3LqXSyE16zPcbpmEIZXt+9qPl5MeQ+v32juZxR607fLZ35apG2vr7Nl7mNcb5e3f2XuY1xvl7fvY0pWjGKXr9tjflqkba+sF2bWTmSep65DoVZN3JZPpj+jpldolcutA6YKRHCfw6dzn6ZXaJXLr7uh6lGsjR+nl6FWTdyWT6bPoNpe8I0jrGej5lAQhHOkY6HqUayNH6Q/oupdLITXrAOfclFQeGukA5/mUBCEc6Qbnj5eTHkPr6OVDlG8bOOnn5dyUVB4a6fHl35apG2vrzORWk2wYbenK5NKVoxil68PkQ5RvGzjp0+TnjTsoivcUoAOSiidl9hWgJo9DJw74DaBKj7koQ/YcoCaPQycO+PqaeZCzJa74/JoDkoonZfb2mnmQsyWu+CmXcZG2I0b5LJffk+wlyfYll3GRtiNG+QGVkJWFIan3AZXwkVshyPkDlQuV5iM79/+U8JFbIcj5Y5TokbIeMvpjlJCVhSGp92KU6JGyHjL655ThlPQbWPjnlHKR0huI+ueUd5XXHgf46JRykdIbiPrnlfST8hif+OeVsZDTGM/655XhlPQbWPjolbGQ0xjP+hGX15LoFeH4EZfGj80VD/sRl/ST8hif+BKX9JPyGJ/426D/lPQVavbboNeS6BXh+N6gP5YAGSb22aA/lgAZJvb6rP+U9BVq9gKtk5f+GIDz9qyVluAVD/Evuz6W8RXF8zG78ZftGMvwKrsGlsIVZu4hypWW4BUP8R3KW5fOGCPu/9eSlJcV5+v719KVoxil6wbY0pWjGKXroOM5kmIVreme45KUlxXn65jjVpNsGG3ppeNWk2wYbekC7f6OIxXW5wLtOZJiFa3pAO3pjyoYmucF7UOUbxs46Qfu6Y8qGJrnB+6rkCobaecK7tyUVB4a6fTuQ5RvGzjp8O4jkQweU+f47vmUBCEc6c7vI5EMHlPnzu8wkbggY+fQ73qUayNH6Zbw+ZQEIRzpnfC6kBojo+eM8FWTdyWT6SXxupAaI6PnE/HMjyElD+j38IKRHCfw6f7wVZN3JZPpXPGFjrsmnehb8M2OTygv6rTsUY28Jx/pdOpukPEo1esD5IKRHCfw6YnktZOZJ6nrZuXNjk8oL+ol45+RbCnQ7ZLatZOZJ6nrHttukPEo1esX2iGSpin/78XNKJX/J7DtIM6fkWwp0O2Fzc2Rkyk98hS+vJUzKOnvOr5XlSYoMvJavseQPSli9ECxEJTmJ2f0WbHNkZMpPfIysUqPuShD9oOnEJTmJ2f0hKcDkoonZfaJp8eQPSli9H+n8WmaJ2T4a6oGbk4pZ/ZsqrxoKiiN9mqq026UKGz4W6sHdCgqOPZbq390WCle+FurBm5OKWf2W6t/dFgpXvgBrGh6sCrw9f+rlHrXKST4/6sHdCgqOPYBrJR61ykk+F2s0IDgKoj1XqytgAcqtvdfrGh6sCrw9VysrYAHKrb3Z6zlhrQqEfVprNCA4CqI9WasaIbnKSj3IqxRjCoqpPQirOWGtCoR9SKsvGgqKI32RbNVbbQpLfRMswZuTiln9k+zwmd7KHP0Q7MGbk4pZ/ZEtJ1zmyrj80a0VW20KS30RLQHdCgqOPbttEN6KSuO8+u0aHqwKvD167Sdc5sq4/PutGh6sCrw9VO18YBaKyzzVrXQgOAqiPVXtUN6KSuO81K10IDgKoj1cbVQhykryPJ0teWGtCoR9XW18YBaKyzzcLXlhrQqEfUwtQuNkypz8i61UYwqKqT0LbVQhykryPIxtcJneyhz9Km8/mzIKdjxu7xVbbQpLfTCvFBniSg28qK8VW20KS30Hb1ic7Iqd/ElvZ1zmyrj8yi9/mzIKdjxG72dc5sq4/OCvSZ6QysX8X+9Q3opK47zfr1ic7Iqd/GDvUN6KSuO8++98oB1K73w9L0mekMrF/HuvfGAWiss82q+b4dEK23wbL5QhykryPJtvvKAdSu98Gm+UIcpK8jyzb5GjasqLPDEvm+HRCtt8NC+UGeJKDbyrsaTZ1Mo8++hxv5syCnY8RfGa3NwKg7vJ8Zic7Iqd/EuxiVtiymC7xPGYnOyKnfxAMYQev4qpu78xSZ6QysX8fvFa3NwKg7vAcYmekMrF/Ftxr+AMCtX7nPG8oB1K73wdcYQev4qpu5qxvKAdSu98HLHH4cAKx3ucse/gDArV+5yx2+HRCtt8P/I3IxrKvPt7chGjasqLPDmyB+HACsd7gbJk2dTKPPvrc+nbf0oSe3lzyVtiymC7wrQYWjdJ9Dtms8lbYspgu/bzqVz1CnC7O3Op239KEnt285rc3AqDu+azgR6XCpV7JTOEHr+Kqbuks6lc9QpwuyezhB6/iqm7vjOboCMKhLsAs+/gDArV+4FzwR6XCpV7PXOv4AwK1fuDdCGhmMq8+sR0B+HACsd7hLQboCMKhLsDNAfhwArHe7G0faL3Snn66rRhoZjKvPr0NFhaN0n0O1c2Kdt/ShJ7WHYb2ksJ/Hrj9inbf0oSe3Q1/Fz3yiw6rnXpXPUKcLsvtdKbiAoTOvs16Vz1CnC7JvXA3pdKT7qjdfxc98osOqi1wR6XCpV7NLXA3pdKT7qztdugIwqEux22N+FcykI6onYhoZjKvPrkdgfgI4pCepv2IaGYyrz63HZ4IoNKSXqedn2i90p5+t92d+FcykI6m7ZwGcWJpb5SqHxaZonZPhIoTBmaiZ4+EuhyWq6Juf5m6HTbpQobPiboWlvficr+puh8WmaJ2T4m6Fpb34nK/ohon90WCle+CCi4XQnKD36IKLTbpQobPghouF0Jyg9+peilHrXKST4lqJ/dFgpXviXosR6nigO+uyirYAHKrb37aKqgNEom/ntopR61ykk+OyiqoDRKJv5FqNohucpKPcXoyqGxSjy+BijrYAHKrb3FqMqhsUo8vgro2KLeymY9iujaIbnKSj3K6PViocoLvhzo+eNOyiK93OjYot7KZj2c6Nii3spmPb9qseQPSli9P2qSo+5KEP2/apRjCoqpPT9qlGMKiqk9BO0x5A9KWL0E7QLjZMqc/ITtAuNkypz8t6+IZKmKf/v4r7NkZMpPfLkvkaNqyos8N2+Ro2rKizwPcufkWwp0O1Ly9yMayrz7TbL3IxrKvPtFNVukPEo1esb1Z+RbCnQ7R/V9ovdKefrEdX2i90p5+sP3M2OTygv6gbcbpDxKNXrAdzgig0pJeoU3OCKDSkl6oDiUY28Jx/pNeI0iv8nwOjF4t+FcykI6gHiNIr/J8Do6OHgig0pJero4X6FMyht6BXiH4COKQnqdeH2fzkoUeh44QN6XSk+6irh9n85KFHoNuEfgI4pCeo84Q16Ayh76Cbh8XPfKLDqK+ENegMoe+gV4QN6XSk+6g3hLnSPJ/PoNuFKbiAoTOtt4S50jyfz6Brh8XPfKLDqAuG9buwmpuml4W9pLCfx69nhSm4gKEzrGOEoajImeepg4rNlACZk7JLhKGoyJnnqAeFvaSwn8evV4CpnlyUr6y3jIGR0JjbusNlvaSwn8evD2WFo3SfQ7dbZs2UAJmTsotkKY84mUfD/0WFo3SfQ7fTRk2dTKPPv7dEgZHQmNu4H0rFi+yaL8hPICmPOJlHwH8g4Y/QmvfT4u1BniSg28vK7wmd7KHP08Lt5ZL8mw/ZyscJneyhz9HKxOGP0Jr30crEwZmomePiaqLxoKiiN9pqo8WmaJ2T4mqh5ZL8mw/aaqIJkRxYr+1KccmDwGNL4UZwOYycZBftMnAZiEBb0+FicDmMnGQX7qJo/X74bofiomnJg8BjS+Kqa82HyG8v6QZmaXmgeW/hBmT9fvhuh+D+ZXWGWHnb67JitXt4g/ffsmG5h/yAA+q+al18YI473r5o0YiEjc/mxmjRiISNz+eWed2EOJR735Z64Y/Ak4fjjnpdfGCOO9+me1V7FGFf2x6hyYPAY0vjCqJJdlhsw9hGnP1++G6H4Eac/X74bofhjpZJdlhsw9l2lml5oHlv4bqTjXEce+vVmpK1e3iD9936l8F0XI2T1faX1XMogtfWBpZdfGCOO9zCp8F0XI2T1QKk4XqcYs/PMt9VexRhX9s238Vx5G5Tzu7aSXZYbMPbEtjhepxiz86y2kl2WGzD2jLU+XC4ecPOVteNcRx769aW19VzKILX1X7VOXQwjEfNZtfBdFyNk9VC1T1y3IEXzb7XwXRcjZPXQt05dDCMR8/23nV6WGAHxv8c4XqcYs/PJxzhepxiz87LHXF1nG+vwv8fxXHkblPPRx65cGh7X8LfHPlwuHnDz0cdcXWcb6/CSx09ctyBF88LIv13tIrLwtMhOXQwjEfOdyMJcnyDH8OPITl0MIxHz+sm/Xe0isvBcygVglBhd7hnWnV6WGAHxJdbUXmMbT+7U1lxdZxvr8OfWXF1nG+vwftfUXmMbT+5q165cGh7X8EPYMV4PHkzuP9jCXJ8gx/AA2b9d7SKy8M7YSV6JIFbuNNm/Xe0isvD82DhfxyJi7rTZmGG0FXPuouFwYqIY5euk4QVglBhd7q3h42PBFfnrmeEFYJQYXe6J4lhhbxve64vi1F5jG0/ul+JwYqIY5et94tReYxtP7lbjMV4PHkzuYuNYYW8b3utL40leiSBW7gnkxWAVHunrD+Q4X8ciYu495N1ghCAM7KrkOF/HImLupuM3Y4MkbOyn4xxhwSRg7sjiqmGtIj7sq+RgaaQTHv3gk4JkRxYr+9+T7meJFv/82pMlZmUTSPvlk+5niRb//JKSDmMnGQX7kpKCZEcWK/uWkqZmaxnU/FyR82HyG8v6XZGtZTYckvxbkQ5jJxkF+16RrWU2HJL8oZBdYZYedvqgkPNh8hvL+qCQJ2XWHjD8MpFuYf8gAPoxkTBlOSGm+zORXWGWHnb6MJEwZTkhpvuUkzRiISNz+ZSTbmH/IAD6k5PBZU0j+vrKl7hj8CTh+MqXvWb9JDn6ypc0YiEjc/nJl71m/SQ5+kudMGZqJnj4S524Y/Ak4fhJnbhj8CTh+HekeWS/JsP2daQwZmomePhzpHdhDiUe93mkd2EOJR738K04Y/QmvfTkrXlkvybD9tmt+V8nJQ/1/K35XyclD/V9urFi+yaL8k+6YV8lJdTyoLphXyUl1PLuycpf/ySO8FLKyl//JI7wrtYKY84mUfBN1RxhwSRg7qzXHGHBJGDu2N+zZQAmZOwp3yBkdCY27tbdN2ODJGzsIeI3Y4MkbOzj5bNlACZk7OfjHGZ1JMjqvuuqYa0iPuzV6zdjgyRs7DjrFGW6Ilrqt+zdYIQgDOyY7BRluiJa6qjsqmGtIj7seex5ZJ4gA+rH7MVgFR7p63DseWSeIAPqcuzdYIQgDOxs7GdkNB7K6XfsWGFvG97r/uvFYBUe6esB7Ohkjxuz6frrcGKiGOXrYOvoZI8bs+lf61hhbxve62Tr32XCGLbpWuvjY8EV+euc6t9lwhi26ZzqcGKiGOXroOonZ+AVyumY6odl3xIT7LPpJ2fgFcrps+njY8EV+eu26Zho+xLm6bDpX2PUEovul+CYYbQVc+6g4Idl3xIT7JHgIGLXEjDxPNWYYbQVc+5C1URgthUY8UvVX2PUEovuNNVEYLYVGPGcx+ZfxxXN86HHIGLXEjDxk8fmX8cVzfOruHxg5RV29qi4yWHoEuXzsrjNYzATDvlZqnxg5RV29lSqBmIQFvT4S6pYYgYTjvZiqiVmZRNI+/OdBmIQFvT48Z2CZEcWK/vpnc1jMBMO+fydrJHuEiH55qNSkhgQ5vboo3WQEhBX+eyjrpP4Eqv246N1kBIQV/mspTKPYQ17+bSlUpIYEOb2qKUyj2ENe/mhp2iP4Qow96On3o3oCoT5qKfmkGINFPecp96N6AqE+cKp042iCDX3xKl5jLUIbvnIqWiP4Qow97+peYy1CG75/askjKkGLvf+qwSLzwZB+QCsBIvPBkH5Rq5SivoEKvdGrn2JPwUO+UeuJIypBi73Rq6uk/gSq/acr2OTERBI9J+vUpIYEOb2pa/XlPMSCPSXr1KSGBDm9gix35FXDYD0CrHmkGINFPcNsWOTERBI9AWx5pBiDRT3fLJGkNAKrfR7smiP4Qow93iy35FXDYD0f7Joj+EKMPfts5WOhgjO9Oaz042iCDX32bPTjaIINfdPtcOMfgbq9EO1JIypBi73K7WVjoYIzvRntSSMqQYu95i2yIq7BAf1iLZSivoEKvdntsOMfgbq9Le215TzEgj0Yrysk/4Pl/FivGOTERBI9GK8J5XhElTxYrxjkxEQSPQEvR+SQw3Y8f6835FXDYD097ysk/4Pl/ELvd+RVw2A9J69fpC5ChfykL1GkNAKrfR6vR+SQw3Y8bS9RpDQCq30I77DjmsIVPIIvpWOhgjO9N29fpC5ChfyUL6VjoYIzvSJvueMXgaO8mO+w4x+Bur0JL7DjmsIVPLLvsOMfgbq9M++4IqVBMbyo77IirsEB/VZvueMXgaO8h2/J5XhElTxcsksk+IP8e5qyayT/g+X8V/Jn5TEEqvufMmokSgNOu8MyR+SQw3Y8fXILJPiD/HuNMkfkkMN2PHCyBGQogqK76XIfpC5Chfyd8iokSgNOu/xyH6QuQoX8lrIYo5aCODvKsjDjmsIVPLcxxGQogqK763IkoxUBjfwl8fnjF4GjvIpx2KOWgjg71DI54xeBo7yPMeZipMEhvDwxuCKlQTG8nDGkoxUBjfwy8eflMQSq+7e1eWRvA9y7NTVQZObEirs7tUsk+IP8e7H1HuQBw3C7LbUqJEoDTrvl9TlkbwPcuzn1KiRKA0676vT/46JCiHtjdMRkKIKiu9S03uQBw3C7OnTEZCiCorvgNJvjU0Iju1N0mKOWgjg7+XR/46JCiHt7tJijloI4O8Z0cSLWQYC7sbQkoxUBjfwINBvjU0Iju3T0ZKMVAY38EnP94mtBGzu086ZipMEhvD4zcSLWQYC7lbQQZObEirsAuHYj4wPN+r94OWRvA9y7PDgDpFoEu/pD+HlkbwPcuyX35aO3QyN6o7f2I+MDzfqs997kAcNwuwc3keNaAr36gve/46JCiHt1N2Wjt0MjepU3v+OiQoh7Ybc6Is6CHrrZdxvjU0Iju3720eNaAr36vXceopbBgvsQNrEi1kGAu5s2eiLOgh662zbxItZBgLuh9f7iNEEmez91veJrQRs7qDVeopbBgvsSNnGj80VD/tLmKyR7hIh+UuYzo7VEkv7S5jXkugV4fhLmM6O1RJL+7SZzY38D3z7tZmske4SIfm0mc2N/A98+16bMo9hDXv5XpvAjFANlvtgm3WQEhBX+V2bwIxQDZb7XJ2ni90KkPtgnTKPYQ17+Vidp4vdCpD7x595jLUIbvnIn4GKsQhh+86f3o3oCoT5wZ+BirEIYfuMogSLzwZB+Y2iVYnXBgz7l6J5jLUIbvmDolWJ1wYM+6mlfYk/BQ75q6UziFwFnPq5pQSLzwZB+Z2lM4hcBZz696jQhwYEB/n/qFSHaQQz+iupfYk/BQ753qh9iT8FDvkjsE6IlgND9yGw0IcGBAf5HbBSivoEKvcmsFKK+gQq93y3mohAAzL1a7dOiJYDQ/dMt8iKuwQH9eS+p4gTA/vywL6aiEADMvWBvuCKlQTG8iW/bIgZA8XwTsaniBMD+/LmxZmKkwSG8ADHmYqTBIbwQ830h0sDte7ezGyIGQPF8DPM94mtBGzuHs73ia0EbO6o01OHmwPz7AnT9IdLA7Xu99H7iNEEmex61b6G6gPJ62XZU4ebA/Psl9eSh9QEK+tB4HqKWwYL7BThkofUBCvr2OD7iNEEmewH36iIRQZt6g/j6Is6CHrrRuSoiEUGbeo15HqKWwYL7HrjyYkWCL7pAeVHjWgK9+pA5ueKOwoq6Y/mlo7dDI3q2efnijsKKunV50eNaAr36q/n/IupDLfo/efYj4wPN+pN6fyLqQy36Evplo7dDI3qOukGjVQPXehe6Q6RaBLv6afq2I+MDzfqnuoGjiwSFuiu6jmSYhWt6ePrBo4sEhbo4+sOkWgS7+ng6/6OIxXW5+frkpSXFefrXOIOkWgS7+lZ4kGTmxIq7FLiOZJiFa3pYuIGlsIVZu7y1kGTmxIq7OzWn5TEEqvu5NaSlJcV5+v61p+UxBKr7sbJJ5XhElTxwskGlsIVZu7OyT6W8RXF88a7J5XhElTxyLvXlPMSCPTLu5WW4BUP8cO7/5T0FWr2Q67XlPMSCPRHrq6T+BKr9k2uPpbxFcXzPq7XkugV4fhOoq6T+BKr9lCirJHuEiH5U6L/lPQVavZMovyPhl6oYvSFPpxDeqCDU0ptegtKYXIxTONr4k2lYyJgxma6T/iHI7eZcYCq/Xr9vSuBuL0Fm+uX6o6YsLCV0ar2dgaHXoUoiVeS1IKafk+HNY/ihjkMigqnlAp+v5T5dIWMzHdrgU14O28wh/Jt3n9Pbix7bm9ydsD0Nfhv78vzJNhiW8X8TnrxKOelsehWaTojwZxGM9qt4OwsZhz4ZnEv726Vdhf7lijPzVT83Hlj3xNxmr0HR47FAEaDNBSHZ7Rj0eC4YUDkn53JGoZkn+HYYnHg12Ks4TdjYeP/Yl3kUmK15BOcAhuynEMaU5ynHA2d4R9RnOQeZJ0XH+udqSBWoE7paKTOGFUMV19lrlrSGacT2eOx8SOqmmITjIA1AniA/AH7i+gFPXX5CqFzGBScbTMdyW1IHUprtSEy3YdJ4MdpMRW++7WRlpLx+Jc18V9aPe1cWkLtk2wM/mhTCOjkW33vVcUEro7Kvanuk/L0UrZnu8uR0fWtV6fufbT5u/yQ1vVajkL3z2B28/Jh+fSiZ4r3Snd6/iCJ/fhlhHH63os599lnG/iZkQzmBoyq6riORQq4oKQTkI8xDKCCNAzrha8JDYeGDryELwsLgcoO6XqcF2x3lhoUfF8TcG8KIgiRMQ/wpnYalXFOHptxTh5vrGQeyb80LgCUdQ9idpwWLXAsZB2MiX36e16iUHimgRmJ1n3F3xxiLWND4jSdSR53Tx3onKLy+vn4pk29695USq6QFg4GkAWiY6wXXUdoOd5fVieXACZSrgDQlPg1D83oLKRczzoQ1HdK4d9dTQ/kvBbCqtoacWv7HS2sIwuwc0tL5uPXPLzJ4ggAfBNAI9YpXNzwMlJ/6h9VXD+Ld0kcbXk9Gz2B4Q77gjgMjYS9CnFkfTH7tOwiG9Y/Qs/6QHRq+IF23ewHX+3T26Io6WWclc5uOgXS+D1056ZVi6l9ypSmEBllrG8frr9FLby/iy606xZbWuHJmhHmLp9n1IGxFdM2oxJqG/mpeiT+Bhp8e3EOAHxEFc18XhWvfLYOinx8Hqp5PQiwfPYaRH13AaNoZw1yYLgEi3sMAxBrDQTzbRwJ2Hsw9QWE+/CZhPf7x4yP/LaBGf1IgVD6F5IE9mKYRIPsYcZ/C4AMeb9ixo2xmBKFCZ5bc5CCAYDzf1J4Ln55f7eC0XjTeouAJn3Nh06BK4Y5hFwgIJ6gFdmXTgxUjkjzGXEaYwbkS5xzGzBIl+e626/R+SZlxho2scz0OkUe08pJHsmn4wfHq6sZTsgNM+LbcrNlzPg5e9zdSY3/BpPJ+0mN7r880BPnm1XH3+pMZZ3P9bbvRmAxVqbrf+S6Uha4jigFxMkxm5p8E4qb3g7vZ8wZmHajFoK/vCucv6IskHFNHmR1Mx5ydN8ffHUuHpl7dxO2uCgkG7luJde5ySdieMgbcHFIJN56/BdgYsEwXG07KTZTz0KEfBQUaUe5RxCGVAeQjmwJolVJOj2RkQ/gluYKbqOFEmib8w7GsJ0cM7C6GzDBdys46MRoXfagc2/iflVK+/h0X91Soen05o32rq3B9+B6mgDFJK6Q+eduvembk1bQb6aL22KijM6jrfO75MlGt3nCQLZPwgqfa+ktaLH4Xmh0+Phbze5dUyLowUZa3ZRVU+traJT3o44a99KQNvaVVU7rwq5hxkewWMaBUnXpo0QH3cdaLvDOWl/wRmzR+mGKaPkhjev3vKVUzO6nzcugoa/RxZ1K0+6MJePActr+nIvo6pmEUfpKcrr9j2bD9wxiRPUtX4/zWU4n5BpYJ+9jQI3XwSivuIITeIHpKPe9Vg4ZhvUKcmWAMchaikIGUOIc0Wp5QZ5SJUVDSB8wXF0gFmxq3DoUT3kBU5BAKC3BvhSSp7Av+saeOg3SDUZQ28oeQbifI89LFWUsJkha6zZjGwt7zxA8fEP8MoVC/HWQ6v3Pk9r8XZQi+42R8vvoiUvvYoWP7uCEtfhFhHUJ3Hv5AzZxvwT6epkFVHnUC71mWBWHfF0T44K7FZ17tx8deW0WZpZN6X1pyRaXltbqj2iZY63j+2MX42BjbeNvnJYcapxgHSGxpPclsaT3K7Gk9xyxpPfb05bg2tOV4NjTlODc05fggvWQNIH1kjSB9ZQ0gvWONA7PfiQPz34kEM99JA7PfyTOt/wX0Lf7F9K3+hfMt/0XYKNOC16jTwtao1ALZaNNC1O8VOdOvFPnSLxR51m8Vee+27PRtduq0cLbuNHC9l9AwfZjQMH2Z0DC9ltArNUcL67VGi+v1Rgvq9UeL4bAeCKKwHUijsByIoLAeyJDrpQWRq6SFj+ulhZzyF3UachX1F7IUdR9yGPUNuNowTDjX8Er41fBO+Nwwfn4nE35+KJN+fiYTV7d9Ttf3fI7YN3vO13d+DvSyn0v18p3L9zKcS/OyoIvLLuNJDK7iCQ5u4IkJbuTJIbTEcJ70wfCctP+wZDTGsIs6ZqyKOmSsiXpi7Iw6aGymvswWpr7NFqa+zhamfssWgTlGkkF5RhJBeUWSQTlHElD1R89RtUYPUjVEz1B1SQ9Q8geM0nIFTM9yCYz+duNs+zbfrME3JuzXO34pljt7qZU7eemYO0Apyj+8mQp/vRkKf71ZCj+8WS96+FUvevfVL3r4VRn3kdJad4+SWreOElm3k1JRtORP0vTgT9P03c/Q9ObP1TiDag/4vOnMuLip2TiIqgi8ByeG/ANnhbwBZ4n8CWejv8Ik43/B5OO/wmTQfGlXkHxpF5B8aNeQfGmXgfmg1MH5nZTB+ZuUwfmi1N23AhKetztSXTcGErFU8ruvlPN7p5T3e7lU7vuNlTg/S5U4f0dVOT9RlTe/TrNbOo8zW3qPs1u6jjNbOrY9Xct2PV3Ldj1eC3Y9XYt0spKHtLKSR7SykoeA7KxEQKysRH/sbIRBbKwEfebQgTxm0QE45tHBAWcPwQCalkJDGpYCUNqUgnOaV8J6W2MAvJtiwIVboUCx22RAm+bIQptmyEKaZsjCnObHwq7q7MZv6uwGbSrtxn4u5opALyRKQm8hinvu6UpCsmaNhLJiTYZyXo2A8mqNpnTOEGf0xpBo9MGQZTTTkHS25xJ1NtGSdbbFknR29BJgOP7UX/j31F+49BRgeMKUrfrLVu16x5buOs0W271IGZt9RtmbPUZZm71ImaX/Y6Plf2Lj5T9iY+Y/ZCPV/G8l0zxrpdH8aeXXPHEl0DmYp8h5kCfVOZ3n4nbSqcr2/qm8NrIpgvcuaeC1JexT9RtsaDUsLF6yzC/Z8sjv1TLFr+Pyz+//b9D0Nu/NNAQwEvQZ7Gv5V6xruVSsazlc7Gx5Zmi8vqiovH6k6Lz+sRYmvW9WJ31p1ik9dpYk/WuJmW8qyZ8vKMmtby2Ji68sxiZrbMYt62yGPKtsxhgrZ8Ah5SkAKCUlgBZlEwcEFpUHBxaZhw1Wjsc+lkPMDhOJTBJTlwwdE7fLxJOKD+0RUE/vUWUP9lF4z6cRfMt58TqLQDF0S1HxQsuo8TbHua31R4DuOYeq7cdAGKdIAB6nScAqp0WADadhSOuS40juUt1I5lLyzh4P+I4iD8dOa8/lzhWP+lGHzkBRy85jEb6OEk2Pc88NlHPFTaPz282As8EJ07G4yaXxhknHsadAFZSmwBGUqAAc1KoLfM3sC36N8AtCDiaLeU3fkMALpRDCi7OQyIuS0PqLXpPPiuUT0Qr/09fKxpPJiuRP2jbhD9z21o/m9u6P0LbGjE42Q8xRNn0MF/ZNDEd2TUC5zU0At41MQLLNTYC+TXeOjwe5To/HtE6Nx5/T3cakE96Gr9PghpVT28aeVjKHI5YzBzkWNUcK1jBHDxIkOcKSKznYUh75xA8WO8FPF3v6ztm7yg8T+8RBpMFEAaSBRMGlAUgSioAJUoqADFKKQAVSisAHFs9BylbPAdLWzsH/Vo+B2pg2g95YNkPuWDZDy9g2g/9Tg7y804S8tVOHPIbTwTyzr/c+ta/3Prmv9z6vr/c+gL5myAD+ZogA/mYIAL5niAmwxQUJcMUFCLDFRQowxMU26ffB9an4Afop9wHXmawBWpmrwWWZqoFNGa0BREqcsERKmbBEyo7wQ8qm8FdIbq2XiHPtl8h+rZcIY62GxXNpx8V7KcnFSqoExWPp2UBB5BsASCQWAHWj7QXJWS+FzBk0xdIZKEXDmSmKzNYzis1WCssOlhSKy5YZToFT4Q6CU8eOvxONkVGSLVEMEhvRU9IFkqHQCJKi0CJSq1AwklqQONPPDfuT0M3W1B/N4FPBjemVoosrlaRLAxX3ixOVkIs/13IIAleySCWXtEgfF3BIChjrhcwY60XvWKvF9hm0BDfZs8QOWfKEINm1RDlaF0M7mhcDDZpVgyhaGMMk5fFAIyXxwB1l8sAqJfBAK6u1g6srtcOp67YDrOu1A6fyMIbnsjCG53IwxufyMIbmvcfK5r3Hiua9x0rmvcgKz/IUu9CyFPvR8hU7znIUe/DUlP5ulJU+aNSWvnZUk35QlIM7DxSD+wVUiXsaVL463xPGehJTzvoqU/857tKUeK3SlXig0qA4u1KJ+JSRCrbTUQw2xhEbduGRO7a/Dx40/Y8gdPGPNTTKj0p0x82pMw/NkvMwi+exr8vq8bPL1TGUhEffE8RInxWERl8ShEnfNsQMHzpECB8wBBNfDr8jZBX/HOQG/yokHb8WJAv/HiQaPxIkPv7pZCb/ByQ0/u9kET8YZB0+wqRnPwakM76ipGu++OQIPoMkucMBnzjDAt87AwBfN0MEXy0DAJ8pwwPfMIM83uZDB586/urjAn8kIzQ+8SMJfx3jLv72ozx+6qMj/sBjRz8hIxc+0mNuPv8jBn7gY2++vmNUfuIjWH6QI6m+0aNBAnZewIJ23sHCdZ7AAnee/sI2Xv0CN97AQnSe+4I5nvT+wWJ4fv4iMf7EInt++2Ixfssid37FYmy+z2J8PsFibD7bYnV+06JmPuDiez7Oomd+8OJzvuciYH72Ynq+4aJIAWjeyMFoXseBaZ7JQWeezMFuHs6BbJ7LQW/e0EFq3vf+zWF0ftChez7KYXF+0+FIvwhhQj8OYU1/BCF9ftLhYL8+oRc/B2Fm/zkhAL9yoTN/PWEH/2zhLH8DIVVBPx3WQT4d08EAXhfBPJ3QARreE0EXngwBHp4XQROePD4CoTS+CiEDfntg575o4Ni+d6Dzfl2gzP5C4Sc+vKCK/pbg+X6r4Lk+ZyDI/zbgV/7hYKR/H2B9frhgisELnMtBCtzJQQzczMEJnMuBLxzOQSxcxwEzHNLBKFzTvQYhDP0NIRt9PeDFPRVhPz01oPA9BOEMfWhg4v0SIQY9iiDj/Wrg3r2zIJE+JmBDveugv349IBg9kmD8RfKe/MXyHvpF9N7/Be+ewMXAXwDFwB8ARcDfAYX/nsiFlJ8HxZWfCgWS3wZFl18TxXBfDQV33xJ/YuUZP10lCf9ppSF/VmUsP39k279MJQn/qCThP3kkxf+epOf/hmTuPn8lXb8NZQy/haTwPgfk8j3w5P8+duOvPpZjpf5H48b+xmOnfsjitb7+4mB+zaKmv2ihF39zYS3/Y2EQP3ihC7+a4C2/v9/nfmnft/5j4Dz+LZ9rviLgQD1B36e81aCSvOGe5/wKITW7+GEOvGZg03vwoQJ7wWFi++FhM7uP4XJ7qOEru7AhOnugoRs7lGEYu5chH3uPoRQ7nCEAgT8bQUE+m37AwNuvgNsbb4DbW3BA2ptuwNvbYcDumyGA7xskQOybHsDxGwdBJhyHASZch4El3IaBJtyVwSUd1gElHdXBJV3WASUdwIFm3sCBZp7AgWbewMFmnscCdh7HQnXexsJ2Hs3DQV8Nw0FfDgNBHw3DQV85hEOfOcRDnzkERB86REMfIcVpnzrFDJ98RZie2MTkn49Fq17ARbme9oWF3vSFYZ7FRZDe3QV5XsDFad7+RSxeyEViHvZFNN7JhTPeyIU03syFMN7FhTge1ET8XtRE/F7UhPve08T8nuUDi59GQ6XfX4PZHwfDXB+JA91fOEOsnypD/p7Uw42fSYPHnwDDz98bg/Ye94O/nvNDg98Aw/Ze6UON3x5Dvh7iQ7oe2AOEnwIDv97Bg4BfA0O+nsBDgZ8QAkRfBUJNHyQCc97wAh7fH4J73tgCQl8tAm/eyUJPnyYCdh7hgnpe7sJuHthCQx8lwnPe44J2HuqCb17egnre4IJz3t9CdR7ignHe2AJ1HtfCdZ7YwnRe1wJ2XvbBXJ4/gVYeJgFo3hHBiN4SAWVeWIFgHkWBb554QR1evIEZnrABJJ6FgVGeqIEFXurBA17jwQne4cEfnuLBHp7fgSGe5UEcHuzBJB7tQSOe7AEk3t7BjJx1wbzcLQFunG3B1lwZAXtcpoFw3LmBE1zJgZXcscEQ3TlBCp0fgR/dDYF53N4BEl1iAQ7dVEEa3WzBBV1WAQOdl8ECHZGBB52cgT3dVEEqXZTBKd2TASudlkEonaABVdr8QUPaz8EI2xwBx1qNQQjbWUEAW2XA5NtGQWDbNEDdG7kA2VuiQOqbjMEKW7LA4Nv1AN8b6kDnm/4A15v3gNrcOEDaHDRA3Zw7wNccPcDOHH3Azdx9gM5ceoYCn8HIQN4MRoFhZEgonhnIMl4fCHJd2QfuXn3H9947x/meCwgq3h8Hqt5gB6neXger3ndHHh63Rx3etUcgHrmHG56YhsMe1YbGXtvG/56EhpuexMabXsgGl977hioe/AYpnvjGLR7/BiZe48SBnyQEgR8jBIJfJMSAXyZDQV8mQ0FfJkNBXyZDQV8PAnYezwJ2Hs9Cdd7PAnYe94El3veBJd73gSXe98ElntVBCh3VQQod1QEKHdVBCh3DgTwcQ0E8XERBO1xCQT0cVwD5WtbA+ZragPaa00D8WscAwNrGwMEaysD+Gq6AidquQInasgCHGqrAjJqLQJaaS0CW2k3AlNpIgJiaXIBpmhyAaZobQGpaMMA+WfKAPVniAAeaAsBzGfCABxn5QAJZzAAppgMAmFmqwTWZNQFQWR9APBmdAiNaFgJE2hjBqlpLgjvbqgIqW4rB4RvxgkEbpgGB3e/Bu92SAY4dxQHu3biCDR8rAhdfEsJ5XtNDW9+mgz8fqkOWn1mCx6AnRJgfyUSh4BvFQl9Mzhy0TM4cdEzOHDRMzhz0YI95NWDPeDVhT3U1YE979VSQs/ZVELH2VpCrdlMQunZxkZM3dZGH92xRojdVUos4F5KGeA8SmTg/Ew84gdNKOInTe7h3Ex34tE6PdTVOpvUyzqy0yZA+9glQCXZI0B/2SlAoNigRCPdmkRg3alEydxcSDvgW0hC4FlIUOBeSC3gPEuF4j5LeuJDS2XiOEua4mNN9+NuTc/jUk035II9/tWRPXDWqz0512c9MNUSQ7TbG0Ms3CxD/NwAQ93amEdh4JxHxOCjR2rhkUe13ydL6OMoSyXkKEuD5CdLh+PaTVLm2k1s5tlNkubbTSzm2E/d59hP3efYT97n2E/c549AVtjaQKnZX0Zf3oZGLN/FRn/gHEb23GhLluSWS6vlG0vD4jpPDuhMT4roaE9A6R1PUudBUufqTFIz61tSmeuIVLnsjlTh7JVUEu2BVIfsXUNK2b1Dh9pqRMLcm0LN1klK6OGVSvPiJEvg5K9J0d/0TzLoLVD76JRQZeqIT7TmnlSt7MdUPu0MVS/uVlS060dYve9jWB3wj1iv8A9btPEhW+3xOltA8vVaYPE6R8vcx0c33hNJkeG5RefYYk/Q5r1PuuexUC3q2lUn7RZWvu23VlDvMFWA6z1bX/FpW8nx1lvO8sxaUfB2XzT0lF969NtfGvWWYvr1qGIi9tJifPZrYp71/y9XyQAwPckCMNTI/i+8yRo1hc0bNXvNJjUqzQ41282hOgXStzqy0Yc6ZNI0QLrWOECy1llAY9YSQAzX3UWg2+JFl9uyRenbnUro36NK4d/SSqTfbUon4B1OPuMiTjjjU04E4+tNdONNUIXlUVCA5YBQVeUdULLlwE6Y48xOhePvTk3jnE7R49JO++TbTt/k6k6v5MNOK+U8UcHoPVG06D5Ro+g7UdLoLlbQ7TFW5O01VvvtK1a57RVd5PIhXQfzMF038wVdsvLFZP/20GQW9+lkSvesZMr2B2y/+Qlsw/khbOn57muX+QtqEPk/amX53WnD+Plmw/cGZ9n3Vmdl+KdmM/efYpr1smK99TFjpvYbYqn07lxY8gddh/LEXfPzRVaB7WhWyO2MVxbwDlUN6+hNSeUyTuXlBlC66dVL7uDeQGfSrUEl1PxDH9lcPMvM5zwozvE9wNAWO53JBDtXzlA7PM/UO8fQcjqgzFI5rM92OTHQszkX0RI5u87hNlHP8Dadzwk3I9DHNsvOajQMzm80Ls53NHHOYzTMzQgy8MsIMvTLCTL+ywcy58uxPrZTlz65U2I+wFPnPq9TDzBfXQgwYV35L2RdPRiZa0UYl2taGJFrKBifa9cEq5DaBLKQ4ATDkNEEmpC7FsCquRa5qr4WyKr5IRK6+SERuvghDrr6IRW6vkGQUuBBiVIlQntS0jNjXBE0UlylNCtcOzOLXAwbYGuMGzVrWRqcax8HAJMuBySTVgeBk/cGpJKTGYiulxmUrqEZsa6JGWyujyQdvY4kGb2LJBG9kSQkvUVDJFGfQwxRUkTcUIxCVlE7Nvta1DbIWjA4VVrONHRbTh2mamMeOWrFG0FrSQnplGkJLJW7CdqV9wg7lE0cCbFRHBKxWhwpsUQc8rABJ6a++yaTvu0ma74NJ82+M0PNT4NEW08iQX9QKDb2WTY3jVmUOaBYjzP6WjodeWrzHSZqxh9VaUgbWGuvCv2U5QpnlXALeJYhCuaTQB7+sEEe/7BCHgKxPx78sNkozb24KHa9CilLvlA8FVEWPl9QhkH/Tko4sVKmM9JZXTi0V+srSl37GjJrMxyWajsfEGmiF+BsgwoKkugKw5LpC5aUdgkhkAYeQqweHnOs4x38q3koCbhWKLe3DSgQt/As/1Z3MeZUjDkoUYwiWVtxJbJfsSmIXVIyIlk3GkdluhQ/bqwWKW1CG5hqgA8rcTIH/IkGCGKLCQrFjggFV4ZEGK+d2BjCnioaNqHjFh+bYiJ7p4wi0afgIn+oDCLKpppFgEwlRX5MRUR6TGxGhEwnO3NT6jp0U2s6eFOtO29TiSysXGEssFwHLLhc/RVyau0VdWrLFXtq2gI2j9UCKI/LAgmP5AJVj7kUe6etFEinyRTDpxggvLYWIKi2DyB+th4g4bZAKCzBQCgpwUAoLsGkKnPEpSp5xKcqhsSiKmjEAC2mxgEtrMYDLbfG/iycxk8vqMdSL7LHVy/Fx0ovlsddMQ/HYjEfx2sxPcdTMfLGpzFhwqgxZMKqMWrCpTFbwm0u+bZeLta2Qy6XtosuPLdVHv+NZCCBk+0j+JxoGnyDxxaUiVcYdo2jG6KVtQ88ic4ST5AYDfd+0QNwf3wDCYE9BbOE4wzechkSrG8eB5N1hRMqaAMYK2bLIl9gRgm1bAkY7l8DHmldbSk2WCEgXlfzJp5UnzEMUPU7YEvrPPhKrz45SsM5TExfR7xHTkfCR3tHskf2S5JHz0udR4dLskc/TH1HYkz2SEhM+0gaTAVJj0zsSDVLbUojS3BKA0t0SlRLaUrfSKdLxEipS49IrEsQSaVLuceONbnHjzXHx0Q1rMfaNRu4gihBuDIo7rfgKG6kxxiipIwYNKQJGfuL6AUXjNQF34v8BTt19gpMdQsLLXXkCkZt2RZRbeQWd20IFyFttRYCxP0xDcQzMfnDlTLasQ8kGbJBI6SxwiT5mtgSS5oIFDeARwHMgOgCnnMXFJlzFBSmcxsUuG1AHeVtVR1hrO4fV6wEIcqT1xDbk2gQpZPREXqABQgngFgHlX/yBguBMAk7dpcWBXaQFopxTR5suXImHacnG3ynnBwukdEPtpDUDYKROBGig68MJIPbCzuCVgqGhC0ORXuIE8t6oBNCd54aDHeoGqJ3jBpIsscfz7HKHmGzFCLLoeIVnqGFFbii0xd3kAIOU5C5DQyGEw3BhacMaoDvDSaAlA2Df5YNBn3fE9l88RNcfbwT6apRGe2qVxnmqPkVD63kHJ6c4BDTnDQRE54yE5SPkguuj7oLjJAKDdqG5grZhuUKxYcXDEOD/wwxg+kM0oOxDQWBdA7ygF0OnoD4DVaB1w7q1b1C6tW5QufV90Ls1X1CaMzuOW3M2TlgzBA6xL98LtK/YC6sv6guyK9aIL+vYyDar0cgra92IIyb3Q6Sm9kOg5viDnJ0ewJsdH0CmnRzAkV0hQKZbZsNl22bDeptkQ1IbaUNxmoLE81qCxM6awETXWoVE9VpihzpaZocHWrEHKFpYBwqa6khd2vGIf1qmCF+bwsijm8MIl9vCSJPdTYeN3U7Hjx7fBcde4gXcXtoF7h/5A+nf+0PcX8MEO5/xg95gpkNd4KXDVSCbg2bgsANNIN5DDWDegxsg7kMgYSvCiKEQQrphCgLnob+B8aGLghRh9UISY4PCbSNTQgljy8Kt5cMDEOYygwhmfoNd6IjEfWg+g4Spd8UgbQ0Itm6vyvUvdArsLzgKeS61Cbbv0Ev3MLVLvXBBC2yw4UwpshvMzLIPjL8yFA0dM7pOU3OTDkszsk4DdIzPvrRqj0X0n0+YdTmQGHU20Bg1L1AY9QBQdnhrpp+4cGa/OGmmuLuGZKg7vaRhu7okfnuJpJP+jaMMfokjCX6HYxa+jyMaPmPbVf5Ym1Q+U9tbvmgbcbvd2C771Zgyu+FYHXnq1V056hVduesVUndnZxj3N2cDtz1nJzdhZxk6w2TKep2k87r6ZLk+MyLnfi4i4T4sYv8+NOL2vnJbrf5eW6p+Vpu5/nmbknvBmA579xfMe/JX1DvFmBY5khUXuZaVGLmZFRV5kBUJ9kin7XXo58w19GfsNnynhfo8pQA5saVT+UMls7oqpSb9+mLGPfii+z234vG9+uL4vmLb6X5EW/3+bNvHu4sXxLuEl8O7glfI+42X1rkYlJ05J9SUORJUhTW86EI14yhYuafljzjDpgp4oyYnucPlrP2YIzb9XyMk/WGjP/2Vozu+Zpwjfnrb235sm8P+tVw3+wKX97sB1/g7Atf0+HOUBDiSlEm4nhRveGhUB3arqHc1ECkktJepSrdMaDs6GGWE+NkmT7rZJWX9tSMK/U8jaz0YY0k96yMh/qzctb5k3Gc+TNxx/obcyztAGIO7c1hBe28YTftEmK64TlUP+IoVYnh4VPF5V2dudjmo/vqJZuU7hSV3ef6l0bkDZrr8amT6vebjLz1i43Y+DWMp/wAdzL9znf88cJrnPChaSDw4miE8pVsd+ghYv7nXWHQ5xNhqehwYl7adqIe22mi+dl9omLmMZpU5iaaTuYhmmnmNprB8MyTqvC4k6Hwr5PK8NWT1/tXjc37TY3a+1uNHfgGaxj49GoV+OxqIPgOa+juXl/j7klf4O4/X+ruZ18U56RVE+efVRXnp1XH3+pMx9/sTMff6UzR3n5L0d59S9Dee0vR3n5LMt2GSTLdh0ky3YZJctqHRmzadUZo2mxGddqQRkTWnEIo1lxCUta5QgTUYEPy0z5D6tMuQw3UcUPA15dN9NfvTRHYHk6i12VNQfC3duXqaW1o8zF8Sff3eh7z4nMC8YxwLvkwfn39u32b/iyA7/4jhKr+q3q0/V156P29hN36BItF+HyMMfcYjRD8Voqs9kaRne8xlZLs4ZZv+jCPhPJEl8jkyp7W+M2ToOftoILe3qXp2OeoM/d8mOXP+6zFzR6uE8wGr1HSsKtTxPCwr8TGsOzEqrANxBGxX8RhrgfEgq6oyrap4MqmqfrKnqlX0G+mVtBvplfQb6Zm1TCkbdUvpHHVL6Ri1TGk5VPZ5+xT0ecJVK7nyFP85+hb3O7qW9vu2Vvq7rRs+v20bPr91Gzo/bmfXOmmn17pMa9z0hOvb9Lmr4jSf72Zvn69mL4OvsC+/Lx1vm5T+ed6U97nW1pE7VhaSu1saGL4nGgm+FCWo/HolP/xyqWQ2Pulp9jPpBrY0bU+wuG0GMKUVVjrk1Vd695bn+/WW9Pv7FtK70poHvg4aGr4F2j2+EGeB937niTdhaBh3c2czdyerWfGNKxvxtRaiPDbWrjw32Dl8+pgNPT7YKT0WmxY+31sRvwjbOb5RZeL4TSYX+E8mv/gS5Xo4TqksMwbojLNHWJy9TdivPXzZ2H4Kmjy+CRyYP2vcUL8m4hT+bqFLvsikT7mTJTj5GqOaOdtnNrThph61X5pzfiJaeL4sGkr+Vdpg/icbtb6p27r+vZuePtNbkj6SXd6/ux3jP+ndmn9Q4ZF+bOCg/vXjgXpwYiU7JOWddqKlnnaqJwf10SQ6t3UUUjn11FG5wJSIueoUW7nDVa/6wxWwOvoVdnrrl+69atfvPXDX7H1l1/F9Vid0fVVndH1SJ3T9cut4922reDd9q3o3Yyt293Eu9TJp7vJyXq7uslMx265OcdkuW3Hf7kcx1W5Qs+0rVDPta3Uz8GthMm6r6vJu6/wyb2vRsm5rzbDcrLgw2iyf8ResqXCe7Kqu2a2Db0ptrS6kbZWsqW8kbAyveCrAcPjsvu/2Ke9xP6o4cedrPfFtrUpwQefJc23qyvJpcc1uCaOIdvdjuXhfJPn3oKIAubLhhXv34W4746I3u0jhOrw/oGV+oqB6vr4gt75joCj+816Vf5Ae/T+NnqF/fpzGfzwcwv8PHR4/K5zq/vcb9T622/T+v9vCvu3b5z6dG0o+nVtKvqKbUr6Xm0G+oVmsfemZvH3bmaC99Zew/PhXuPz8F4Q9MZelvOwV7vus1fR7qlXke6CUmnpg1JZ6YBShOkcUL7lJVCl5TVQeeUNUOrlMFC65DtQq+RdUHrkDlDs5CpnICJFZzEig2dYIu5m+iH8ZB8mUGVMJsNkASYJYhwrHGIkK01iOSvZYQgrW17tMGZe8TCDXvowP17lMFZa7jZbWu82aVryNtBVPz3RVT8901U/Pc9VPz1eaaglemmxJaRpvSU1aZwlx2eDKNVnhijrZ4sosWd+KGllLixgZS0sUWUqLHhlMSwcYrkw92G0MLBhqzDxXfY1tl3yNUBd6jVeXv0141j4O5pY+DsJWPg7Zln4O7xtVyW7bVclum1XJb1tVyUqbL8nDGy/J+NrvidSbMAnsmnvKmpp7yr/aO8qG2ruKhRmCS+ZZQ0vzGQTL9dmAy88YR00mmAnNH1fOTRIYgs0TlstOp5aPzphWWA6d1wNOk9ztyElc74h7nLIIYdzriEfcVUkq3BpJONxNCSCbq8n+W3GJyNt6idVb4wnNWoSLGhpNiwHaHMsjWvXK2ZjrzGJYQcyP2YoMVpd7zctXC44DFqfOGlfgjf6eJIbwnimG1p5cRvpdp4ei3a9Ht119h6Wd2QernOqIhlz2SLzcTUj03RNIvJu0CcUbhMoPmyhKMZwQidfaAEuEmdkLkZkOS8lay0tg19hNahd8TXSWRk3UWM7NM59GBSpfSsUPn1iFDh+4hPge4AXn3ufF6B8IxfJeCgcYnhXHB536hwLepYbL3QgIpFzZCJ/cUcjP3Y9IURsrimeaCsrBnG8J89iATKhYN0yVVpaNSlpfy8VaoAVI2p/FZJqghWcaYoV5mfDGSloDxquZ4IZVWTfH2Bk6R+jZCkgE2SgH9NfTSctYJAnh18VJ8Fafy/MWoUvJFu2L21aUS8GViE3EVYlN3FWSjetVf42glFJPpBRTT77UWY+JVEzPmZNn0SaTaVEl07BRMpMjURJUCBEQVAgRC5QH0RaUCBEv1LYQnpS3EL3UeVCXlQwQdJTRUHWUmxBT1ULQSxUlz91UgFAzlb0PlFUBj6SUpY+N0+qP7FX8Tw8U/E8CVA2PsZIFkG3Wvo5nU8cPcU5W0cvaqYwZ2oTLH5phiziYUQwyHFyKA50mCK9c8IiR3CQJG931iCceSMbc3seGld9zBQ2fd8UFHyLFXJ+JRTRf/cPvX8EEBN/bRB1gGAQR4HsDuiAgA6ZgUkPBoI3DgKCMg7XgQIOLoJmDux+whHYfs0Rmn7uESl/oRE+emMZG3pwGeJ5hRl3ek4ZXnTjH0R06B+LdNsfp26gI7ZuoSPIbqEjlm6fI1RqkyN3ap8jqGqwIyNqgiOcaCcftWg6H/FoZR9iaP0e") 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"), 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"), 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"), 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"), 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"), 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") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_govip") diff --git a/addons/dialogue_manager/DialogueManager.cs b/addons/dialogue_manager/DialogueManager.cs new file mode 100644 index 0000000..66f4dba --- /dev/null +++ b/addons/dialogue_manager/DialogueManager.cs @@ -0,0 +1,652 @@ +using Godot; +using Godot.Collections; +using System; +using System.Linq; +using System.Reflection; +using System.Threading.Tasks; + +#nullable enable + +namespace DialogueManagerRuntime +{ + + public enum MutationBehaviour + { + Wait, + DoNotWait, + Skip + } + + public enum TranslationSource + { + None, + Guess, + CSV, + PO + } + + public partial class DialogueManager : RefCounted + { + public delegate void DialogueStartedEventHandler(Resource dialogueResource); + public delegate void PassedTitleEventHandler(string title); + public delegate void GotDialogueEventHandler(DialogueLine dialogueLine); + public delegate void MutatedEventHandler(Dictionary mutation); + public delegate void DialogueEndedEventHandler(Resource dialogueResource); + + public static DialogueStartedEventHandler? DialogueStarted; + public static PassedTitleEventHandler? PassedTitle; + public static GotDialogueEventHandler? GotDialogue; + public static MutatedEventHandler? Mutated; + public static DialogueEndedEventHandler? DialogueEnded; + + [Signal] public delegate void ResolvedEventHandler(Variant value); + + private static GodotObject? instance; + public static GodotObject Instance + { + get + { + if (instance == null) + { + instance = Engine.GetSingleton("DialogueManager"); + instance.Connect("bridge_dialogue_started", Callable.From((Resource dialogueResource) => DialogueStarted?.Invoke(dialogueResource))); + } + return instance; + } + } + + + public static Godot.Collections.Array GameStates + { + get => (Godot.Collections.Array)Instance.Get("game_states"); + set => Instance.Set("game_states", value); + } + + + public static bool IncludeSingletons + { + get => (bool)Instance.Get("include_singletons"); + set => Instance.Set("include_singletons", value); + } + + + public static bool IncludeClasses + { + get => (bool)Instance.Get("include_classes"); + set => Instance.Set("include_classes", value); + } + + + public static TranslationSource TranslationSource + { + get => (TranslationSource)(int)Instance.Get("translation_source"); + set => Instance.Set("translation_source", (int)value); + } + + + public static Func GetCurrentScene + { + set => Instance.Set("get_current_scene", Callable.From(value)); + } + + + public static void Prepare(GodotObject instance) + { + instance.Connect("passed_title", Callable.From((string title) => PassedTitle?.Invoke(title))); + instance.Connect("got_dialogue", Callable.From((RefCounted line) => GotDialogue?.Invoke(new DialogueLine(line)))); + instance.Connect("mutated", Callable.From((Dictionary mutation) => Mutated?.Invoke(mutation))); + instance.Connect("dialogue_ended", Callable.From((Resource dialogueResource) => DialogueEnded?.Invoke(dialogueResource))); + } + + + public static async Task GetSingleton() + { + if (instance != null) return instance; + + var tree = Engine.GetMainLoop(); + int x = 0; + + // Try and find the singleton for a few seconds + while (!Engine.HasSingleton("DialogueManager") && x < 300) + { + await tree.ToSignal(tree, SceneTree.SignalName.ProcessFrame); + x++; + } + + // If it times out something is wrong + if (x >= 300) + { + throw new Exception("The DialogueManager singleton is missing."); + } + + instance = Engine.GetSingleton("DialogueManager"); + return instance; + } + + public static Resource CreateResourceFromText(string text) + { + return (Resource)Instance.Call("create_resource_from_text", text); + } + + public static async Task GetNextDialogueLine(Resource dialogueResource, string key = "", Array? extraGameStates = null, MutationBehaviour mutation_behaviour = MutationBehaviour.Wait) + { + var instance = (Node)Instance.Call("_bridge_get_new_instance"); + Prepare(instance); + instance.Call("_bridge_get_next_dialogue_line", dialogueResource, key, extraGameStates ?? new Array(), (int)mutation_behaviour); + var result = await instance.ToSignal(instance, "bridge_get_next_dialogue_line_completed"); + instance.QueueFree(); + + if ((RefCounted)result[0] == null) return null; + + return new DialogueLine((RefCounted)result[0]); + } + + public static async Task GetLine(Resource dialogueResource, string key = "", Array? extraGameStates = null) + { + var instance = (Node)Instance.Call("_bridge_get_new_instance"); + Prepare(instance); + instance.Call("_bridge_get_line", dialogueResource, key, extraGameStates ?? new Array()); + var result = await instance.ToSignal(instance, "bridge_get_line_completed"); + instance.QueueFree(); + + if ((RefCounted)result[0] == null) return null; + + return new DialogueLine((RefCounted)result[0]); + } + + + public static CanvasLayer ShowExampleDialogueBalloon(Resource dialogueResource, string key = "", Array? extraGameStates = null) + { + return (CanvasLayer)Instance.Call("show_example_dialogue_balloon", dialogueResource, key, extraGameStates ?? new Array()); + } + + + public static Node ShowDialogueBalloonScene(string balloonScene, Resource dialogueResource, string key = "", Array? extraGameStates = null) + { + return (Node)Instance.Call("show_dialogue_balloon_scene", balloonScene, dialogueResource, key, extraGameStates ?? new Array()); + } + + public static Node ShowDialogueBalloonScene(PackedScene balloonScene, Resource dialogueResource, string key = "", Array? extraGameStates = null) + { + return (Node)Instance.Call("show_dialogue_balloon_scene", balloonScene, dialogueResource, key, extraGameStates ?? new Array()); + } + + public static Node ShowDialogueBalloonScene(Node balloonScene, Resource dialogueResource, string key = "", Array? extraGameStates = null) + { + return (Node)Instance.Call("show_dialogue_balloon_scene", balloonScene, dialogueResource, key, extraGameStates ?? new Array()); + } + + + public static Node ShowDialogueBalloon(Resource dialogueResource, string key = "", Array? extraGameStates = null) + { + return (Node)Instance.Call("show_dialogue_balloon", dialogueResource, key, extraGameStates ?? new Array()); + } + + + public static Array StaticIdToLineIds(Resource dialogueResource, string staticId) + { + return (Array)Instance.Call("static_id_to_line_ids", dialogueResource, staticId); + } + + + public static string StaticIdToLineId(Resource dialogueResource, string staticId) + { + return (string)Instance.Call("static_id_to_line_id", dialogueResource, staticId); + } + + + public static async void Mutate(Dictionary mutation, Array? extraGameStates = null, bool isInlineMutation = false) + { + Instance.Call("_bridge_mutate", mutation, extraGameStates ?? new Array(), isInlineMutation); + await Instance.ToSignal(Instance, "bridge_mutated"); + } + + + public static Array GetMembersForAutoload(Script script) + { + Array members = new Array(); + + string typeName = script.ResourcePath.GetFile().GetBaseName(); + var matchingTypes = Assembly.GetExecutingAssembly().GetTypes().Where(t => t.Name == typeName); + foreach (var matchingType in matchingTypes) + { + var memberInfos = matchingType.GetMembers(BindingFlags.Instance | BindingFlags.Static | BindingFlags.Public | BindingFlags.DeclaredOnly); + foreach (var memberInfo in memberInfos) + { + string type; + switch (memberInfo.MemberType) + { + case MemberTypes.Field: + FieldInfo fieldInfo = memberInfo as FieldInfo; + + if (fieldInfo.FieldType.ToString().Contains("EventHandler")) + { + type = "signal"; + } + else if (fieldInfo.IsLiteral) + { + type = "constant"; + } + else + { + type = "property"; + } + break; + case MemberTypes.Method: + type = "method"; + break; + + case MemberTypes.NestedType: + type = "constant"; + break; + + default: + continue; + } + + members.Add(new Dictionary() { + { "name", memberInfo.Name }, + { "type", type } + }); + } + } + + return members; + } + + + public bool ThingHasConstant(GodotObject thing, string property) + { + var memberInfos = thing.GetType().GetMember(property, BindingFlags.Instance | BindingFlags.Static | BindingFlags.Public | BindingFlags.DeclaredOnly); + return memberInfos.Length > 0; + } + + + public Variant ResolveThingConstant(GodotObject thing, string property) + { + var memberInfos = thing.GetType().GetMember(property, BindingFlags.Instance | BindingFlags.Static | BindingFlags.Public | BindingFlags.DeclaredOnly); + foreach (var memberInfo in memberInfos) + { + if (memberInfo != null) + { + try + { + switch (memberInfo.MemberType) + { + case MemberTypes.Field: + return convertValueToVariant((memberInfo as FieldInfo).GetValue(thing)); + + case MemberTypes.Property: + return convertValueToVariant((memberInfo as PropertyInfo).GetValue(thing)); + + case MemberTypes.NestedType: + var type = thing.GetType().GetNestedType(property); + if (type.IsEnum) + { + return GetEnumAsDictionary(type); + } + break; + + default: + continue; + } + } + catch (Exception e) + { + throw new Exception($"{property} is not supported by Variant."); + } + } + } + + throw new Exception($"{property} is not a public constant on {thing}"); + } + + + Dictionary GetEnumAsDictionary(Type enumType) + { + Dictionary dictionary = new Dictionary(); + foreach (var value in enumType.GetEnumValuesAsUnderlyingType()) + { + var key = enumType.GetEnumName(value); + if (key != null) + { + dictionary.Add(key, convertValueToVariant(value)); + } + } + return dictionary; + } + + + Variant convertValueToVariant(object value) + { + Type rawType = value.GetType(); + if (rawType.IsEnum) + { + var values = GetEnumAsDictionary(rawType); + value = values[value.ToString()]; + } + + return value switch + { + Variant v => v, + int v => Variant.From((long)v), + float v => Variant.From((double)v), + System.String v => Variant.From((string)v), + _ => Variant.From(value) + }; + } + + + public bool ThingHasMethod(GodotObject thing, string method, Array args) + { + var methodInfos = thing.GetType().GetMethods(BindingFlags.Instance | BindingFlags.Static | BindingFlags.Public | BindingFlags.DeclaredOnly); + foreach (var methodInfo in methodInfos) + { + if (methodInfo.Name == method && args.Count >= methodInfo.GetParameters().Where(p => !p.HasDefaultValue).Count()) + { + return true; + } + } + + return false; + } + + + public async void ResolveThingMethod(GodotObject thing, string method, Array args) + { + MethodInfo? info = null; + var methodInfos = thing.GetType().GetMethods(BindingFlags.Instance | BindingFlags.Static | BindingFlags.Public | BindingFlags.DeclaredOnly); + foreach (var methodInfo in methodInfos) + { + if (methodInfo.Name == method && args.Count >= methodInfo.GetParameters().Where(p => !p.HasDefaultValue).Count()) + { + info = methodInfo; + } + } + + if (info == null) return; + +#nullable disable + // Convert the method args to something reflection can handle + ParameterInfo[] argTypes = info.GetParameters(); + object[] _args = new object[argTypes.Length]; + for (int i = 0; i < argTypes.Length; i++) + { + // check if args is assignable from derived type + if (i < args.Count && args[i].Obj != null) + { + if (argTypes[i].ParameterType.IsAssignableFrom(args[i].Obj.GetType())) + { + _args[i] = args[i].Obj; + } + // fallback to assigning primitive types + else + { + _args[i] = Convert.ChangeType(args[i].Obj, argTypes[i].ParameterType); + } + } + else if (argTypes[i].DefaultValue != null) + { + _args[i] = argTypes[i].DefaultValue; + } + } + + // Add a single frame wait in case the method returns before signals can listen + await ToSignal(Engine.GetMainLoop(), SceneTree.SignalName.ProcessFrame); + + // invoke method and handle the result based on return type + object result = info.Invoke(thing, _args); + + if (result is Task taskResult) + { + await taskResult; + try + { + Variant value = (Variant)taskResult.GetType().GetProperty("Result").GetValue(taskResult); + EmitSignal(SignalName.Resolved, value); + } + catch (Exception) + { + EmitSignal(SignalName.Resolved); + } + } + else + { + EmitSignal(SignalName.Resolved, (Variant)result); + } + } +#nullable enable + + + public static string GetErrorMessage(int error) + { + return (string)Instance.Call("_bridge_get_error_message", error); + } + } + + + public partial class DialogueLine : RefCounted + { + private string id = ""; + public string Id + { + get => id; + set => id = value; + } + + private string type = "dialogue"; + public string Type + { + get => type; + set => type = value; + } + + private string next_id = ""; + public string NextId + { + get => next_id; + set => next_id = value; + } + + private string character = ""; + public string Character + { + get => character; + set => character = value; + } + + private string text = ""; + public string Text + { + get => text; + set => text = value; + } + + private string translation_key = ""; + public string TranslationKey + { + get => translation_key; + set => translation_key = value; + } + + private Array responses = new Array(); + public Array Responses + { + get => responses; + } + + private string? time = null; + public string? Time + { + get => time; + } + + private Dictionary speeds = new Dictionary(); + public Dictionary Speeds + { + get => speeds; + } + + private Array inline_mutations = new Array(); + public Array InlineMutations + { + get => inline_mutations; + } + + private Array concurrent_lines = new Array(); + public Array ConcurrentLines + { + get => concurrent_lines; + } + + private Array extra_game_states = new Array(); + public Array ExtraGameStates + { + get => extra_game_states; + } + + private Array tags = new Array(); + public Array Tags + { + get => tags; + } + + public DialogueLine(RefCounted data) + { + id = (string)data.Get("id"); + type = (string)data.Get("type"); + next_id = (string)data.Get("next_id"); + character = (string)data.Get("character"); + text = (string)data.Get("text"); + translation_key = (string)data.Get("translation_key"); + speeds = (Dictionary)data.Get("speeds"); + inline_mutations = (Array)data.Get("inline_mutations"); + time = (string)data.Get("time"); + tags = (Array)data.Get("tags"); + + foreach (var concurrent_line_data in (Array)data.Get("concurrent_lines")) + { + concurrent_lines.Add(new DialogueLine(concurrent_line_data)); + } + + foreach (var response in (Array)data.Get("responses")) + { + responses.Add(new DialogueResponse(response)); + } + } + + + public bool HasTag(string tagName) + { + string wrapped = $"{tagName}="; + foreach (var tag in tags) + { + if (tag.StartsWith(wrapped)) + { + return true; + } + } + return false; + } + + + public string GetTagValue(string tagName) + { + string wrapped = $"{tagName}="; + foreach (var tag in tags) + { + if (tag.StartsWith(wrapped)) + { + return tag.Substring(wrapped.Length); + } + } + return ""; + } + + public override string ToString() + { + switch (type) + { + case "dialogue": + return $""; + case "mutation": + return ""; + default: + return ""; + } + } + } + + + public partial class DialogueResponse : RefCounted + { + private string next_id = ""; + public string NextId + { + get => next_id; + set => next_id = value; + } + + private bool is_allowed = true; + public bool IsAllowed + { + get => is_allowed; + set => is_allowed = value; + } + + private string condition_as_text = ""; + public string ConditionAsText + { + get => condition_as_text; + set => condition_as_text = value; + } + + private string text = ""; + public string Text + { + get => text; + set => text = value; + } + + private string translation_key = ""; + public string TranslationKey + { + get => translation_key; + set => translation_key = value; + } + + private Array tags = new Array(); + public Array Tags + { + get => tags; + } + + public DialogueResponse(RefCounted data) + { + next_id = (string)data.Get("next_id"); + is_allowed = (bool)data.Get("is_allowed"); + text = (string)data.Get("text"); + translation_key = (string)data.Get("translation_key"); + tags = (Array)data.Get("tags"); + } + + public string GetTagValue(string tagName) + { + string wrapped = $"{tagName}="; + foreach (var tag in tags) + { + if (tag.StartsWith(wrapped)) + { + return tag.Substring(wrapped.Length); + } + } + return ""; + } + + public override string ToString() + { + return $" + + + + + + + + + diff --git a/addons/dialogue_manager/assets/icon.svg.import b/addons/dialogue_manager/assets/icon.svg.import new file mode 100644 index 0000000..3973eef --- /dev/null +++ b/addons/dialogue_manager/assets/icon.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://d3lr2uas6ax8v" +path="res://.godot/imported/icon.svg-17eb5d3e2a3cfbe59852220758c5b7bd.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/dialogue_manager/assets/icon.svg" +dest_files=["res://.godot/imported/icon.svg-17eb5d3e2a3cfbe59852220758c5b7bd.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=true diff --git a/addons/dialogue_manager/assets/responses_menu.svg b/addons/dialogue_manager/assets/responses_menu.svg new file mode 100644 index 0000000..4e4089d --- /dev/null +++ b/addons/dialogue_manager/assets/responses_menu.svg @@ -0,0 +1,52 @@ + + + + + + + + + + diff --git a/addons/dialogue_manager/assets/responses_menu.svg.import b/addons/dialogue_manager/assets/responses_menu.svg.import new file mode 100644 index 0000000..651cc7b --- /dev/null +++ b/addons/dialogue_manager/assets/responses_menu.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://drjfciwitjm83" +path="res://.godot/imported/responses_menu.svg-87cf63ca685d53616205049572f4eb8f.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/dialogue_manager/assets/responses_menu.svg" +dest_files=["res://.godot/imported/responses_menu.svg-87cf63ca685d53616205049572f4eb8f.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=true diff --git a/addons/dialogue_manager/assets/update.svg b/addons/dialogue_manager/assets/update.svg new file mode 100644 index 0000000..a5b80ee --- /dev/null +++ b/addons/dialogue_manager/assets/update.svg @@ -0,0 +1,71 @@ + + + + + + + + + + + + + + diff --git a/addons/dialogue_manager/assets/update.svg.import b/addons/dialogue_manager/assets/update.svg.import new file mode 100644 index 0000000..e2c162f --- /dev/null +++ b/addons/dialogue_manager/assets/update.svg.import @@ -0,0 +1,43 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://d3baj6rygkb3f" +path="res://.godot/imported/update.svg-f1628866ed4eb2e13e3b81f75443687e.ctex" +metadata={ +"vram_texture": false +} + +[deps] + +source_file="res://addons/dialogue_manager/assets/update.svg" +dest_files=["res://.godot/imported/update.svg-f1628866ed4eb2e13e3b81f75443687e.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=false +editor/convert_colors_with_editor_theme=false diff --git a/addons/dialogue_manager/compiler/compilation.gd b/addons/dialogue_manager/compiler/compilation.gd new file mode 100644 index 0000000..34f3d1e --- /dev/null +++ b/addons/dialogue_manager/compiler/compilation.gd @@ -0,0 +1,1130 @@ +## A single compilation instance of some dialogue. +class_name DMCompilation extends RefCounted + + +#region Compilation locals + + +## A list of file paths that were imported by this file. +var imported_paths: PackedStringArray = [] +## A list of state names from "using" clauses. +var using_states: PackedStringArray = [] +## A map of titles in this file. +var titles: Dictionary = {} +## The first encountered title in this file. +var first_title: String = "" +## A list of character names in this file. +var character_names: PackedStringArray = [] +## A list of any compilation errors. +var errors: Array[Dictionary] = [] +## A map of all compiled lines. +var lines: Dictionary = {} +## A flattened and simplified map of compiled lines for storage in a resource. +var data: Dictionary = {} + + +#endregion + +#region External processing + + +var processor: DMDialogueProcessor = null + + +#endregion + +#region Internal variables + + +# A list of all [RegEx] references +var regex: DMCompilerRegEx = DMCompilerRegEx.new() +# For parsing condition/mutation expressions +var expression_parser: DMExpressionParser = DMExpressionParser.new() + +# A map of titles that came from imported files. +var _imported_titles: Dictionary = {} +# Used to keep track of circular imports. +var _imported_line_map: Dictionary = {} +# The number of imported lines. +var _imported_line_count: int = 0 +# A list of already encountered static line IDs. +var _known_translation_keys: Dictionary = {} +# A noop for retrieving the next line without conditions. +var _first: Callable = func(_s): return true + +# Title jumps are adjusted as they are parsed so any goto lines might need to be adjusted after they are first seen. +var _goto_lines: Dictionary = {} + + +#endregion + +#region Main + + +## Compile some text. +func compile(text: String, path: String = ".") -> Error: + titles = {} + character_names = [] + + parse_line_tree(build_line_tree(inject_imported_files(text + "\n=> END", path))) + + # Convert the compiles lines to a Dictionary so they can be stored. + for id in lines: + var line: DMCompiledLine = lines[id] + data[id] = line.to_data() + + if errors.size() > 0: + return ERR_PARSE_ERROR + + return OK + + +## Inject any imported files +func inject_imported_files(text: String, path: String) -> PackedStringArray: + # Work out imports + var known_imports: Dictionary = {} + + # Include the base file path so that we can get around circular dependencies + known_imports[path.hash()] = "." + + var raw_lines: PackedStringArray = text.split("\n") + + for id in range(0, raw_lines.size()): + var line = raw_lines[id] + if is_import_line(line): + var import_data: Dictionary = extract_import_path_and_name(line) + + if not import_data.has("path"): continue + + var import_hash: int = import_data.path.hash() + if import_data.size() > 0: + # Keep track of titles so we can add imported ones later + if str(import_hash) in _imported_titles.keys(): + add_error(id, 0, DMConstants.ERR_FILE_ALREADY_IMPORTED) + if import_data.prefix in _imported_titles.values(): + add_error(id, 0, DMConstants.ERR_DUPLICATE_IMPORT_NAME) + _imported_titles[str(import_hash)] = import_data.prefix + + # Import the file content + if not known_imports.has(import_hash): + var error: Error = import_content(import_data.path, import_data.prefix, _imported_line_map, known_imports) + if error != OK: + add_error(id, 0, error) + + # Make a map so we can refer compiled lines to where they were imported from + if not _imported_line_map.has(import_hash): + _imported_line_map[import_hash] = { + hash = import_hash, + imported_on_line_number = id, + from_line = 0, + to_line = 0 + } + + var imported_content: String = "" + var cummulative_line_number: int = 0 + for item in _imported_line_map.values(): + item["from_line"] = cummulative_line_number + if known_imports.has(item.hash): + cummulative_line_number += known_imports[item.hash].split("\n").size() + item["to_line"] = cummulative_line_number + if known_imports.has(item.hash): + imported_content += known_imports[item.hash] + "\n" + + if imported_content == "": + _imported_line_count = 0 + return text.split("\n") + else: + _imported_line_count = cummulative_line_number + 1 + # Combine imported lines with the original lines + return (imported_content + "\n" + text).split("\n") + + +## Import content from another dialogue file or return an ERR +func import_content(path: String, prefix: String, imported_line_map: Dictionary, known_imports: Dictionary) -> Error: + if FileAccess.file_exists(path): + var file = FileAccess.open(path, FileAccess.READ) + var content: PackedStringArray = file.get_as_text().strip_edges().split("\n") + + for index in range(0, content.size()): + var line = content[index] + if is_import_line(line): + var import = extract_import_path_and_name(line) + if import.size() > 0: + if not known_imports.has(import.path.hash()): + # Add an empty record into the keys just so we don't end up with cyclic dependencies + known_imports[import.path.hash()] = "" + if import_content(import.path, import.prefix, imported_line_map, known_imports) != OK: + return ERR_LINK_FAILED + + if not imported_line_map.has(import.path.hash()): + # Make a map so we can refer compiled lines to where they were imported from + imported_line_map[import.path.hash()] = { + hash = import.path.hash(), + imported_on_line_number = index, + from_line = 0, + to_line = 0 + } + + _imported_titles[import.prefix] = import.path.hash() + + var origin_hash: int = -1 + for hash_value in known_imports.keys(): + if known_imports[hash_value] == ".": + origin_hash = hash_value + + # Replace any titles or jump points with references to the files they point to (event if they point to their own file) + for i in range(0, content.size()): + var line = content[i] + if line.strip_edges().begins_with("~ "): + var indent: String = "\t".repeat(get_indent(line)) + var title = line.strip_edges().substr(2) + if "/" in line: + var bits = title.split("/") + content[i] = "%s~ %s/%s" % [indent, _imported_titles[bits[0]], bits[1]] + else: + content[i] = "%s~ %s/%s" % [indent, str(path.hash()), title] + + elif "=>< " in line: + var jump: String = line.substr(line.find("=>< ") + "=>< ".length()).strip_edges() + if "/" in jump: + var bits: PackedStringArray = jump.split("/") + var title_hash: int = _imported_titles[bits[0]] + if title_hash == origin_hash: + content[i] = "%s=>< %s" % [line.split("=>< ")[0], bits[1]] + else: + content[i] = "%s=>< %s/%s" % [line.split("=>< ")[0], title_hash, bits[1]] + + elif not jump in ["END", "END!"] and not jump.begins_with("{{"): + content[i] = "%s=>< %s/%s" % [line.split("=>< ")[0], str(path.hash()), jump] + + elif "=> " in line: + var jump: String = line.substr(line.find("=> ") + "=> ".length()).strip_edges() + if "/" in jump: + var bits: PackedStringArray = jump.split("/") + var title_hash: int = _imported_titles[bits[0]] + if title_hash == origin_hash: + content[i] = "%s=> %s" % [line.split("=> ")[0], bits[1]] + else: + content[i] = "%s=> %s/%s" % [line.split("=> ")[0], title_hash, bits[1]] + + elif not jump in ["END", "END!"] and not jump.begins_with("{{"): + content[i] = "%s=> %s/%s" % [line.split("=> ")[0], str(path.hash()), jump] + + imported_paths.append(path) + known_imports[path.hash()] = "\n".join(content) + "\n=> END\n" + return OK + else: + return ERR_FILE_NOT_FOUND + + +## Build a tree of parent/child relationships +func build_line_tree(raw_lines: PackedStringArray) -> DMTreeLine: + var root: DMTreeLine = DMTreeLine.new("") + var parent_chain: Array[DMTreeLine] = [root] + var previous_line: DMTreeLine + var doc_comments: PackedStringArray = [] + + # Get list of known autoloads + var autoload_names: PackedStringArray = get_autoload_names() + + for i in range(0, raw_lines.size()): + var raw_line: String = get_processor()._preprocess_line(raw_lines[i]) + var tree_line: DMTreeLine = DMTreeLine.new(str(i - _imported_line_count)) + + tree_line.line_number = i + 1 + tree_line.type = get_line_type(raw_line) + tree_line.text = raw_line.strip_edges() + + # Handle any "using" directives. + if tree_line.type == DMConstants.TYPE_USING: + var using_match: RegExMatch = regex.USING_REGEX.search(raw_line) + if "state" in using_match.names: + var using_state: String = using_match.strings[using_match.names.state].strip_edges() + if not using_state in autoload_names: + add_error(tree_line.line_number, 0, DMConstants.ERR_UNKNOWN_USING) + elif not using_state in using_states: + using_states.append(using_state) + continue + # Ignore import lines because they've already been processed. + elif is_import_line(raw_line): + continue + + tree_line.indent = get_indent(raw_line) + + # Attach doc comments + if raw_line.strip_edges().begins_with("##"): + doc_comments.append(raw_line.replace("##", "").strip_edges()) + elif tree_line.type == DMConstants.TYPE_DIALOGUE: + tree_line.notes = "\n".join(doc_comments) + doc_comments.clear() + + # Empty lines are only kept so that we can work out groupings of things (eg. randomised + # lines). Therefore we only need to keep one empty line in a row even if there + # are multiple. The indent of an empty line is assumed to be the same as the non-empty line + # following it. That way, grouping calculations should work. + if tree_line.type in [DMConstants.TYPE_UNKNOWN, DMConstants.TYPE_COMMENT] and raw_lines.size() > i + 1: + var next_line = raw_lines[i + 1] + if get_line_type(next_line) in [DMConstants.TYPE_UNKNOWN, DMConstants.TYPE_COMMENT]: + continue + else: + tree_line.type = DMConstants.TYPE_UNKNOWN + tree_line.indent = get_indent(next_line) + + # Nothing should be more than a single indent past its parent. + if tree_line.indent > parent_chain.size(): + add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_INVALID_INDENTATION) + + # Check for indentation changes + if tree_line.indent > parent_chain.size() - 1: + parent_chain.append(previous_line) + elif tree_line.indent < parent_chain.size() - 1: + parent_chain.resize(tree_line.indent + 1) + + # Add any titles to the list of known titles + if tree_line.type == DMConstants.TYPE_TITLE: + var title: String = tree_line.text.substr(2) + if title == "": + add_error(i, 2, DMConstants.ERR_EMPTY_TITLE) + elif titles.has(title): + add_error(i, 2, DMConstants.ERR_DUPLICATE_TITLE) + else: + titles[title] = tree_line.id + if "/" in title: + # Replace the hash title with something human readable. + var bits: PackedStringArray = title.split("/") + if _imported_titles.has(bits[0]): + title = _imported_titles[bits[0]] + "/" + bits[1] + titles[title] = tree_line.id + elif first_title == "" and i >= _imported_line_count: + first_title = tree_line.id + + # Append the current line to the current parent (note: the root is the most basic parent). + var parent: DMTreeLine = parent_chain[parent_chain.size() - 1] + tree_line.parent = weakref(parent) + parent.children.append(tree_line) + + previous_line = tree_line + + return root + + +#endregion + +#region Parsing + + +func parse_line_tree(root: DMTreeLine, parent: DMCompiledLine = null) -> Array[DMCompiledLine]: + var compiled_lines: Array[DMCompiledLine] = [] + + for i in range(0, root.children.size()): + var tree_line: DMTreeLine = root.children[i] + var line: DMCompiledLine = DMCompiledLine.new(tree_line.id, tree_line.type) + + match line.type: + DMConstants.TYPE_UNKNOWN: + line.next_id = get_next_matching_sibling_id(root.children, i, parent, _first) + + DMConstants.TYPE_TITLE: + parse_title_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_CONDITION: + parse_condition_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_WHILE: + parse_while_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_MATCH: + parse_match_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_WHEN: + parse_when_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_MUTATION: + parse_mutation_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_GOTO: + # Extract any weighted random calls before parsing dialogue + if tree_line.text.begins_with("%"): + parse_random_line(tree_line, line, root.children, i, parent) + parse_goto_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_RESPONSE: + parse_response_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_RANDOM: + parse_random_line(tree_line, line, root.children, i, parent) + + DMConstants.TYPE_DIALOGUE: + # Extract any weighted random calls before parsing dialogue + if tree_line.text.begins_with("%"): + parse_random_line(tree_line, line, root.children, i, parent) + parse_dialogue_line(tree_line, line, root.children, i, parent) + + # Main line map is keyed by ID + lines[line.id] = line + + # Apply any post-processing. + get_processor()._process_line(line) + + # Returned lines order is preserved so that it can be used for compiling children + compiled_lines.append(line) + + return compiled_lines + + +## Parse a title and apply it to the given line +func parse_title_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + var result: Error = OK + + line.text = tree_line.text.substr(tree_line.text.find("~ ") + 2).strip_edges() + + # Titles can't have numbers as the first letter (unless they are external titles which get replaced with hashes) + if tree_line.line_number >= _imported_line_count and regex.BEGINS_WITH_NUMBER_REGEX.search(line.text): + result = add_error(tree_line.line_number, 2, DMConstants.ERR_TITLE_BEGINS_WITH_NUMBER) + + # Only import titles are allowed to have "/" in them + var valid_title = regex.VALID_TITLE_REGEX.search(line.text.replace("/", "")) + if not valid_title: + result = add_error(tree_line.line_number, 2, DMConstants.ERR_TITLE_INVALID_CHARACTERS) + + line.next_id = get_next_matching_sibling_id(siblings, sibling_index, parent, _first) + + ## Update the titles reference to point to the actual first line + titles[line.text] = line.next_id + + ## Update any lines that point to this title + if _goto_lines.has(line.text): + for goto_line in _goto_lines[line.text]: + goto_line.next_id = line.next_id + + return result + + +## Parse a goto and apply it to the given line. +func parse_goto_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + # Work out where this line is jumping to. + var goto_data: DMResolvedGotoData = DMResolvedGotoData.new(tree_line.text, titles) + if goto_data.error: + return add_error(tree_line.line_number, tree_line.indent + 2, goto_data.error) + if goto_data.next_id or goto_data.expression: + line.next_id = goto_data.next_id + line.next_id_expression = goto_data.expression + add_reference_to_title(goto_data.title, line) + + if goto_data.is_snippet: + line.is_snippet = true + line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, _first) + + return OK + + +## Parse a condition line and apply to the given line +func parse_condition_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + # Work out the next IDs before parsing the condition line itself so that the last + # child can inherit from the chain. + + # Find the next conditional sibling that is part of this grouping (if there is one). + for next_sibling: DMTreeLine in siblings.slice(sibling_index + 1): + if not next_sibling.type in [DMConstants.TYPE_UNKNOWN, DMConstants.TYPE_CONDITION]: + break + elif next_sibling.type == DMConstants.TYPE_CONDITION: + if next_sibling.text.begins_with("el"): + line.next_sibling_id = next_sibling.id + break + else: + break + + line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, func(s: DMTreeLine): + # The next line that isn't a conditional or is a new "if" + return s.type != DMConstants.TYPE_CONDITION or s.text.begins_with("if ") + ) + # Any empty IDs should end the conversation. + if line.next_id_after == DMConstants.ID_NULL: + line.next_id_after = parent.next_id_after if parent != null and parent.next_id_after else DMConstants.ID_END + + # Having no nested body is an immediate failure. + if tree_line.children.size() == 0: + return add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_INVALID_CONDITION_INDENTATION) + + # Try to parse the conditional expression ("else" has no expression). + if "if " in tree_line.text: + var condition: Dictionary = extract_condition(tree_line.text, false, tree_line.indent) + if condition.has("error"): + return add_error(tree_line.line_number, condition.index, condition.error) + else: + line.expression = condition + + # Parse any nested body lines + parse_children(tree_line, line) + + return OK + + +## Parse a while loop and apply it to the given line. +func parse_while_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, _first) + + # Parse the while condition + var condition: Dictionary = extract_condition(tree_line.text, false, tree_line.indent) + if condition.has("error"): + return add_error(tree_line.line_number, condition.index, condition.error) + else: + line.expression = condition + + # Parse the nested body (it should take care of looping back to this line when it finishes) + parse_children(tree_line, line) + + return OK + + +func parse_match_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + var result: Error = OK + + # The next line after is the next sibling + line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, _first) + + # Extract the condition to match to + var condition: Dictionary = extract_condition(tree_line.text, false, tree_line.indent) + if condition.has("error"): + result = add_error(tree_line.line_number, condition.index, condition.error) + else: + line.expression = condition + + # Match statements should have children + if tree_line.children.size() == 0: + result = add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_INVALID_CONDITION_INDENTATION) + + # Check that all children are when or else. + for child in tree_line.children: + if child.type == DMConstants.TYPE_WHEN: continue + if child.type == DMConstants.TYPE_UNKNOWN: continue + if child.type == DMConstants.TYPE_CONDITION and child.text.begins_with("else"): continue + + result = add_error(child.line_number, child.indent, DMConstants.ERR_EXPECTED_WHEN_OR_ELSE) + + # Each child should be a "when" or "else". We don't need those lines themselves, just their + # condition and the line they point to if the conditions passes. + var children: Array[DMCompiledLine] = parse_children(tree_line, line) + for child: DMCompiledLine in children: + # "when" cases + if child.type == DMConstants.TYPE_WHEN: + line.siblings.append({ + condition = child.expression, + next_id = child.next_id + }) + # "else" case + elif child.type == DMConstants.TYPE_CONDITION: + if line.siblings.any(func(s): return s.has("is_else")): + result = add_error(child.line_number, child.indent, DMConstants.ERR_ONLY_ONE_ELSE_ALLOWED) + else: + line.siblings.append({ + next_id = child.next_id, + is_else = true + }) + # Remove the line from the list of all lines because we don't need it any more. + lines.erase(child.id) + + return result + + +func parse_when_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + var result: Error = OK + + # This when line should be found inside a match line + if parent.type != DMConstants.TYPE_MATCH: + result = add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_WHEN_MUST_BELONG_TO_MATCH) + + # When lines should have children + if tree_line.children.size() == 0: + result = add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_INVALID_CONDITION_INDENTATION) + + # The next line after a when is the same as its parent match line + line.next_id_after = parent.next_id_after + + # Extract the condition to match to + var condition: Dictionary = extract_condition(tree_line.text, false, tree_line.indent) + if condition.has("error"): + result = add_error(tree_line.line_number, condition.index, condition.error) + else: + line.expression = condition + + parse_children(tree_line, line) + + return result + + +## Parse a mutation line and apply it to the given line +func parse_mutation_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + var mutation: Dictionary = extract_mutation(tree_line.text) + if mutation.has("error"): + return add_error(tree_line.line_number, mutation.index, mutation.error) + else: + line.expression = mutation + + line.next_id = get_next_matching_sibling_id(siblings, sibling_index, parent, _first) + + return OK + + +## Parse a response and apply it to the given line. +func parse_response_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + var result: Error = OK + + # Remove the "- " + tree_line.text = tree_line.text.substr(2) + + # Extract the static line ID + var static_line_id: String = extract_static_line_id(tree_line.text) + if static_line_id: + tree_line.text = tree_line.text.replace("[ID:%s]" % [static_line_id], "") + line.translation_key = static_line_id + + # Handle conditional responses and remove them from the prompt text. + if " [if " in tree_line.text: + var condition = extract_condition(tree_line.text, true, tree_line.indent) + if condition.has("error"): + result = add_error(tree_line.line_number, condition.index, condition.error) + else: + line.expression = condition + # Extract just the raw condition text + var found: RegExMatch = regex.WRAPPED_CONDITION_REGEX.search(tree_line.text) + line.expression_text = found.strings[found.names.expression] + + tree_line.text = regex.WRAPPED_CONDITION_REGEX.sub(tree_line.text, "").strip_edges() + + # Find the original response in this group of responses. + var original_response: DMTreeLine = tree_line + for i in range(sibling_index - 1, -1, -1): + if siblings[i].type == DMConstants.TYPE_RESPONSE: + original_response = siblings[i] + elif siblings[i].type != DMConstants.TYPE_UNKNOWN: + break + + # If it's the original response then set up an original line. + if original_response == tree_line: + line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, (func(s: DMTreeLine): + # The next line that isn't a response. + return not s.type in [DMConstants.TYPE_RESPONSE, DMConstants.TYPE_UNKNOWN] + ), true) + line.responses = [line.id] + # If this line has children then the next ID is the first child. + if tree_line.children.size() > 0: + parse_children(tree_line, line) + # Otherwise use the same ID for after the random group. + else: + line.next_id = line.next_id_after + # Otherwise let the original line know about it. + else: + var original_line: DMCompiledLine = lines[original_response.id] + line.next_id_after = original_line.next_id_after + line.siblings = original_line.siblings + original_line.responses.append(line.id) + # If this line has children then the next ID is the first child. + if tree_line.children.size() > 0: + parse_children(tree_line, line) + # Otherwise use the original line's next ID after. + else: + line.next_id = original_line.next_id_after + + parse_character_and_dialogue(tree_line, line, siblings, sibling_index, parent) + + return OK + + +## Parse a randomised line +func parse_random_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + # Find the weight + var weight: float = 1 + var found = regex.WEIGHTED_RANDOM_SIBLINGS_REGEX.search(tree_line.text + " ") + var condition: Dictionary = {} + if found: + if found.names.has("weight"): + weight = found.strings[found.names.weight].to_float() + if found.names.has("condition"): + condition = extract_condition(tree_line.text, true, tree_line.indent) + + # Find the original random sibling. It will be the jump off point. + var original_sibling: DMTreeLine = tree_line + for i in range(sibling_index - 1, -1, -1): + if siblings[i] and siblings[i].is_random: + original_sibling = siblings[i] + else: + break + + var weighted_sibling: Dictionary = { weight = weight, id = line.id, condition = condition } + + # If it's the original sibling then set up an original line. + if original_sibling == tree_line: + line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, (func(s: DMTreeLine): + # The next line that isn't a randomised line. + # NOTE: DMTreeLine.is_random won't be set at this point so we need to check for the "%" prefix. + return not s.text.begins_with("%") + ), true) + line.siblings = [weighted_sibling] + # If this line has children then the next ID is the first child. + if tree_line.children.size() > 0: + parse_children(tree_line, line) + # Otherwise use the same ID for after the random group. + else: + line.next_id = line.next_id_after + + # Otherwise let the original line know about it. + else: + var original_line: DMCompiledLine = lines[original_sibling.id] + line.next_id_after = original_line.next_id_after + line.siblings = original_line.siblings + original_line.siblings.append(weighted_sibling) + # If this line has children then the next ID is the first child. + if tree_line.children.size() > 0: + parse_children(tree_line, line) + # Otherwise use the original line's next ID after. + else: + line.next_id = original_line.next_id_after + + # Remove the randomise syntax from the line. + tree_line.text = regex.WEIGHTED_RANDOM_SIBLINGS_REGEX.sub(tree_line.text, "") + tree_line.is_random = true + + return OK + + +## Parse some dialogue and apply it to the given line. +func parse_dialogue_line(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + var result: Error = OK + + # Remove escape character + if tree_line.text.begins_with("\\using"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\if"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\elif"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\else"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\while"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\match"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\when"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\do"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\set"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\-"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\~"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\=>"): tree_line.text = tree_line.text.substr(1) + if tree_line.text.begins_with("\\%"): tree_line.text = tree_line.text.substr(1) + + # Append any further dialogue + for i in range(0, tree_line.children.size()): + var child: DMTreeLine = tree_line.children[i] + if child.type == DMConstants.TYPE_DIALOGUE: + # Nested dialogue lines cannot have further nested dialogue. + if child.children.size() > 0: + add_error(child.children[0].line_number, child.children[0].indent, DMConstants.ERR_INVALID_INDENTATION) + # Mark this as a dialogue child of another dialogue line. + child.is_nested_dialogue = true + var child_line = DMCompiledLine.new("", DMConstants.TYPE_DIALOGUE) + parse_character_and_dialogue(child, child_line, [], 0, parent) + var child_static_line_id: String = extract_static_line_id(child.text) + if child_line.character != "" or child_static_line_id != "": + add_error(child.line_number, child.indent, DMConstants.ERR_UNEXPECTED_SYNTAX_ON_NESTED_DIALOGUE_LINE) + # Check that only the last child (or none) has a jump reference + if i < tree_line.children.size() - 1 and " =>" in child.text: + add_error(child.line_number, child.indent, DMConstants.ERR_NESTED_DIALOGUE_INVALID_JUMP) + if i == 0 and " =>" in tree_line.text: + add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_NESTED_DIALOGUE_INVALID_JUMP) + + tree_line.text += "\n" + child.text + elif child.type == DMConstants.TYPE_UNKNOWN: + tree_line.text += "\n" + else: + result = add_error(child.line_number, child.indent, DMConstants.ERR_INVALID_INDENTATION) + + # Extract the static line ID + var static_line_id: String = extract_static_line_id(tree_line.text) + if static_line_id: + tree_line.text = tree_line.text.replace(" [ID:", "[ID:").replace("[ID:%s]" % [static_line_id], "") + line.translation_key = static_line_id + + # Check for simultaneous lines + if tree_line.text.begins_with("| "): + # Jumps are only allowed on the origin line. + if " =>" in tree_line.text: + result = add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_GOTO_NOT_ALLOWED_ON_CONCURRECT_LINES) + # Check for a valid previous line. + tree_line.text = tree_line.text.substr(2) + var previous_sibling: DMTreeLine = siblings[sibling_index - 1] + if previous_sibling.type != DMConstants.TYPE_DIALOGUE: + result = add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_CONCURRENT_LINE_WITHOUT_ORIGIN) + else: + # Because the previous line's concurrent_lines array is the same as + # any line before that this doesn't need to check any higher up. + var previous_line: DMCompiledLine = lines[previous_sibling.id] + previous_line.concurrent_lines.append(line.id) + line.concurrent_lines = previous_line.concurrent_lines + + parse_character_and_dialogue(tree_line, line, siblings, sibling_index, parent) + + # Check for any inline expression errors + var resolved_line_data: DMResolvedLineData = DMResolvedLineData.new("") + var bbcodes: Array[Dictionary] = resolved_line_data.find_bbcode_positions_in_string(tree_line.text, true, true) + for bbcode: Dictionary in bbcodes: + var tag: String = bbcode.code + var code: String = bbcode.raw_args + if tag.begins_with("$>") or tag.begins_with("do") or tag.begins_with("set") or tag.begins_with("if"): + var expression: Array = expression_parser.tokenise(code, DMConstants.TYPE_MUTATION, bbcode.start + bbcode.code.length()) + if expression.size() == 0: + add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_INVALID_EXPRESSION) + elif expression[0].type == DMConstants.TYPE_ERROR: + add_error(tree_line.line_number, tree_line.indent + expression[0].i, expression[0].value) + + # If the line isn't part of a weighted random group then make it point to the next + # available sibling. + if line.next_id == DMConstants.ID_NULL and line.siblings.size() == 0: + line.next_id = get_next_matching_sibling_id(siblings, sibling_index, parent, func(s: DMTreeLine): + # Ignore concurrent lines. + return not s.text.begins_with("| ") + ) + + return result + + +## Parse the character name and dialogue and apply it to a given line. +func parse_character_and_dialogue(tree_line: DMTreeLine, line: DMCompiledLine, siblings: Array[DMTreeLine], sibling_index: int, parent: DMCompiledLine) -> Error: + var result: Error = OK + + var text: String = tree_line.text + + # Attach any doc comments. + line.notes = tree_line.notes + + # Extract tags. + var tag_data: DMResolvedTagData = DMResolvedTagData.new(text) + line.tags = tag_data.tags + text = tag_data.text_without_tags + + # Handle inline gotos and remove them from the prompt text. + if " =><" in text: + # Because of when the return point needs to be known at runtime we need to split + # this line into two (otherwise the return point would be dependent on the balloon). + var goto_data: DMResolvedGotoData = DMResolvedGotoData.new(text, titles) + if goto_data.error: + result = add_error(tree_line.line_number, tree_line.indent + 3, goto_data.error) + if goto_data.next_id or goto_data.expression: + text = goto_data.text_without_goto + var goto_line: DMCompiledLine = DMCompiledLine.new(line.id + ".1", DMConstants.TYPE_GOTO) + goto_line.next_id = goto_data.next_id + line.next_id_expression = goto_data.expression + if line.type == DMConstants.TYPE_RESPONSE: + goto_line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, func(s: DMTreeLine): + # If this is coming from a response then we want the next non-response line. + return s.type != DMConstants.TYPE_RESPONSE + ) + else: + goto_line.next_id_after = get_next_matching_sibling_id(siblings, sibling_index, parent, _first) + goto_line.is_snippet = true + lines[goto_line.id] = goto_line + line.next_id = goto_line.id + add_reference_to_title(goto_data.title, goto_line) + elif " =>" in text: + var goto_data: DMResolvedGotoData = DMResolvedGotoData.new(text, titles) + if goto_data.error: + result = add_error(tree_line.line_number, tree_line.indent + 2, goto_data.error) + if goto_data.next_id or goto_data.expression: + text = goto_data.text_without_goto + line.next_id = goto_data.next_id + line.next_id_expression = goto_data.expression + add_reference_to_title(goto_data.title, line) + + # Handle the dialogue. + text = text.replace("\\:", "!ESCAPED_COLON!") + if ": " in text: + # If a character was given then split it out. + var bits = Array(text.strip_edges().split(": ")) + line.character = bits.pop_front().strip_edges() + if not line.character in character_names: + character_names.append(line["character"]) + # Character names can have expressions in them. + line.character_replacements = expression_parser.extract_replacements(line.character, tree_line.indent) + for replacement in line.character_replacements: + if replacement.has("error"): + result = add_error(tree_line.line_number, replacement.index, replacement.error) + text = ": ".join(bits).replace("!ESCAPED_COLON!", ":") + else: + line.character = "" + text = text.replace("!ESCAPED_COLON!", ":") + + # Extract any expressions in the dialogue. + line.text_replacements = expression_parser.extract_replacements(text, line.character.length() + 2 + tree_line.indent) + for replacement in line.text_replacements: + if replacement.has("error"): + result = add_error(tree_line.line_number, replacement.index, replacement.error) + + # Replace any newlines. + text = text.replace("\\n", "\n").strip_edges() + + # If there was no manual translation key then just use the text itself (unless this is a + # child dialogue below another dialogue line). + if not tree_line.is_nested_dialogue and line.translation_key == "": + # Show an error if missing translations is enabled + if DMSettings.get_setting(DMSettings.MISSING_TRANSLATIONS_ARE_ERRORS, false): + result = add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_MISSING_ID) + else: + line.translation_key = text + + line.text = text + + # IDs can't be duplicated for text that doesn't match. + if line.translation_key != "": + if _known_translation_keys.has(line.translation_key) and _known_translation_keys.get(line.translation_key) != line.text: + result = add_error(tree_line.line_number, tree_line.indent, DMConstants.ERR_DUPLICATE_ID) + else: + _known_translation_keys[line.translation_key] = line.text + + return result + + +#endregion + +#region Errors + + +## Add a compilation error to the list. Returns the given error code. +func add_error(line_number: int, column_number: int, error: int) -> Error: + # See if the error was in an imported file + for item in _imported_line_map.values(): + if line_number < item.to_line: + errors.append({ + line_number = item.imported_on_line_number, + column_number = 0, + error = DMConstants.ERR_ERRORS_IN_IMPORTED_FILE, + external_error = error, + external_line_number = line_number + }) + return error + + # Otherwise, it's in this file + errors.append({ + line_number = line_number - _imported_line_count, + column_number = column_number, + error = error + }) + + return error + + +#endregion + +#region Helpers + + +## Get the names of any autoloads in the project. +func get_autoload_names() -> PackedStringArray: + var autoloads: PackedStringArray = [] + + var project = ConfigFile.new() + project.load("res://project.godot") + if project.has_section("autoload"): + return Array(project.get_section_keys("autoload")).filter(func(key): return key != "DialogueManager") + + return autoloads + + +## Check if a line is importing another file. +func is_import_line(text: String) -> bool: + return text.begins_with("import ") and " as " in text + + +## Extract the import information from an import line +func extract_import_path_and_name(line: String) -> Dictionary: + var found: RegExMatch = regex.IMPORT_REGEX.search(line) + if found: + return { + path = found.strings[found.names.path], + prefix = found.strings[found.names.prefix] + } + else: + return {} + + +## Load the configured processor (or the default one is none configured). +func get_processor() -> DMDialogueProcessor: + if processor == null: + var processor_path: String = DMSettings.get_setting(DMSettings.DIALOGUE_PROCESSOR_PATH, "") + processor = DMDialogueProcessor.new() if processor_path.is_empty() else load(processor_path).new() + return processor + + +## Get the indent of a raw line +func get_indent(raw_line: String) -> int: + var tabs: RegExMatch = regex.INDENT_REGEX.search(raw_line) + if tabs: + return tabs.get_string().length() + else: + return 0 + + +## Get the type of a raw line +func get_line_type(raw_line: String) -> String: + raw_line = raw_line.strip_edges() + var text: String = regex.WEIGHTED_RANDOM_SIBLINGS_REGEX.sub(raw_line + " ", "").strip_edges() + + if text.begins_with("import "): + return DMConstants.TYPE_IMPORT + + if text.begins_with("using "): + return DMConstants.TYPE_USING + + if text.begins_with("#"): + return DMConstants.TYPE_COMMENT + + if text.begins_with("~ "): + return DMConstants.TYPE_TITLE + + if text.begins_with("if ") or text.begins_with("elif") or text.begins_with("else"): + return DMConstants.TYPE_CONDITION + + if text.begins_with("while "): + return DMConstants.TYPE_WHILE + + if text.begins_with("match "): + return DMConstants.TYPE_MATCH + + if text.begins_with("when "): + return DMConstants.TYPE_WHEN + + if text.begins_with("do ") or text.begins_with("do! ") or text.begins_with("set ") or text.begins_with("$> ") or text.begins_with("$>> "): + return DMConstants.TYPE_MUTATION + + if text.begins_with("=> ") or text.begins_with("=>< "): + return DMConstants.TYPE_GOTO + + if text.begins_with("- "): + return DMConstants.TYPE_RESPONSE + + if raw_line.begins_with("%") and text.is_empty(): + return DMConstants.TYPE_RANDOM + + if not text.is_empty(): + return DMConstants.TYPE_DIALOGUE + + return DMConstants.TYPE_UNKNOWN + + +## Get the next sibling that passes a [Callable] matcher. +func get_next_matching_sibling_id(siblings: Array[DMTreeLine], from_index: int, parent: DMCompiledLine, matcher: Callable, with_empty_lines: bool = false) -> String: + for i in range(from_index + 1, siblings.size()): + var next_sibling: DMTreeLine = siblings[i] + + if not with_empty_lines: + # Ignore empty lines + if not next_sibling or next_sibling.type == DMConstants.TYPE_UNKNOWN: + continue + + if matcher.call(next_sibling): + return next_sibling.id + + # If no next ID can be found then check the parent for where to go next. + if parent != null: + return parent.id if parent.type == DMConstants.TYPE_WHILE else parent.next_id_after + + return DMConstants.ID_NULL + + +## Extract a static line ID from some text. +func extract_static_line_id(text: String) -> String: + # Find a static translation key, eg. [ID:something] + var found: RegExMatch = regex.STATIC_LINE_ID_REGEX.search(text) + if found: + return found.strings[found.names.id] + else: + return "" + + +## Extract a condition (or inline condition) from some text. +func extract_condition(text: String, is_wrapped: bool, index: int) -> Dictionary: + var regex: RegEx = regex.WRAPPED_CONDITION_REGEX if is_wrapped else regex.CONDITION_REGEX + var found: RegExMatch = regex.search(text) + + if found == null: + return { + index = 0, + error = DMConstants.ERR_INCOMPLETE_EXPRESSION + } + + var raw_condition: String = found.strings[found.names.expression] + if raw_condition.ends_with(":"): + raw_condition = raw_condition.substr(0, raw_condition.length() - 1) + + var expression: Array = expression_parser.tokenise(raw_condition, DMConstants.TYPE_CONDITION, index + found.get_start("expression")) + + if expression.size() == 0: + return { + index = index + found.get_start("expression"), + error = DMConstants.ERR_INCOMPLETE_EXPRESSION + } + elif expression[0].type == DMConstants.TYPE_ERROR: + return { + index = expression[0].i, + error = expression[0].value + } + else: + return { + expression = expression + } + + +## Extract a mutation from some text. +func extract_mutation(text: String) -> Dictionary: + var found: RegExMatch = regex.MUTATION_REGEX.search(text) + + if not found: + return { + index = 0, + error = DMConstants.ERR_INCOMPLETE_EXPRESSION + } + + if found.names.has("expression"): + var expression: Array = expression_parser.tokenise(found.strings[found.names.expression], DMConstants.TYPE_MUTATION, found.get_start("expression")) + if expression.size() == 0: + return { + index = found.get_start("expression"), + error = DMConstants.ERR_INCOMPLETE_EXPRESSION + } + elif expression[0].type == DMConstants.TYPE_ERROR: + return { + index = expression[0].i, + error = expression[0].value + } + else: + return { + expression = expression, + is_blocking = not "!" in found.strings[found.names.keyword] and found.strings[found.names.keyword] != "$>>" + } + + else: + return { + index = found.get_start(), + error = DMConstants.ERR_INCOMPLETE_EXPRESSION + } + + +## Keep track of lines referencing titles because their own next_id might not have been resolved yet. +func add_reference_to_title(title: String, line: DMCompiledLine) -> void: + if title in [DMConstants.ID_END, DMConstants.ID_END_CONVERSATION, DMConstants.ID_NULL]: return + + if not _goto_lines.has(title): + _goto_lines[title] = [] + _goto_lines[title].append(line) + + +## Parse a nested block of child lines +func parse_children(tree_line: DMTreeLine, line: DMCompiledLine) -> Array[DMCompiledLine]: + var children = parse_line_tree(tree_line, line) + if children.size() > 0: + line.next_id = children.front().id + # The last child should jump to the next line after its parent condition group + var last_child: DMCompiledLine = children.back() + if last_child.next_id == DMConstants.ID_NULL: + last_child.next_id = line.next_id_after + if last_child.siblings.size() > 0: + for sibling in last_child.siblings: + lines.get(sibling.id).next_id = last_child.next_id + + return children + + +#endregion diff --git a/addons/dialogue_manager/compiler/compilation.gd.uid b/addons/dialogue_manager/compiler/compilation.gd.uid new file mode 100644 index 0000000..24a13ee --- /dev/null +++ b/addons/dialogue_manager/compiler/compilation.gd.uid @@ -0,0 +1 @@ +uid://dsgpnyqg6cprg diff --git a/addons/dialogue_manager/compiler/compiled_line.gd b/addons/dialogue_manager/compiler/compiled_line.gd new file mode 100644 index 0000000..9e34f09 --- /dev/null +++ b/addons/dialogue_manager/compiler/compiled_line.gd @@ -0,0 +1,161 @@ +## A compiled line of dialogue. +class_name DMCompiledLine extends RefCounted + + +## The ID of the line +var id: String +## The translation key (or static line ID). +var translation_key: String = "" +## The type of line. +var type: String = "" +## The character name. +var character: String = "" +## Any interpolation expressions for the character name. +var character_replacements: Array[Dictionary] = [] +## The text of the line. +var text: String = "" +## Any interpolation expressions for the text. +var text_replacements: Array[Dictionary] = [] +## Any response siblings associated with this line. +var responses: PackedStringArray = [] +## Any randomise or case siblings for this line. +var siblings: Array[Dictionary] = [] +## Any lines said simultaneously. +var concurrent_lines: PackedStringArray = [] +## Any tags on this line. +var tags: PackedStringArray = [] +## The condition or mutation expression for this line. +var expression: Dictionary = {} +## The express as the raw text that was given. +var expression_text: String = "" +## The next sequential line to go to after this line. +var next_id: String = "" +## The next line to go to after this line if it is unknown and compile time. +var next_id_expression: Array[Dictionary] = [] +## Whether this jump line should return after the jump target sequence has ended. +var is_snippet: bool = false +## The ID of the next sibling line. +var next_sibling_id: String = "" +## The ID after this line if it belongs to a block (eg. conditions). +var next_id_after: String = "" +## Any doc comments attached to this line. +var notes: String = "" + + +#region Hooks + + +func _init(initial_id: String, initial_type: String) -> void: + id = initial_id + type = initial_type + + +func _to_string() -> String: + var s: Array = [ + "[%s]" % [type], + "%s:" % [character] if character != "" else null, + text if text != "" else null, + expression if expression.size() > 0 else null, + "[%s]" % [",".join(tags)] if tags.size() > 0 else null, + str(siblings) if siblings.size() > 0 else null, + str(responses) if responses.size() > 0 else null, + "=> END" if "end" in next_id else "=> %s" % [next_id], + "(~> %s)" % [next_sibling_id] if next_sibling_id != "" else null, + "(==> %s)" % [next_id_after] if next_id_after != "" else null, + ].filter(func(item): return item != null) + + return " ".join(s) + + +#endregion + +#region Helpers + + +## Express this line as a [Dictionary] that can be stored in a resource. +func to_data() -> Dictionary: + var d: Dictionary = { + id = id, + type = type, + next_id = next_id + } + + if next_id_expression.size() > 0: + d.next_id_expression = next_id_expression + + match type: + DMConstants.TYPE_CONDITION: + d.condition = expression + if not next_sibling_id.is_empty(): + d.next_sibling_id = next_sibling_id + d.next_id_after = next_id_after + + DMConstants.TYPE_WHILE: + d.condition = expression + d.next_id_after = next_id_after + + DMConstants.TYPE_MATCH: + d.condition = expression + d.next_id_after = next_id_after + d.cases = siblings + + DMConstants.TYPE_MUTATION: + d.mutation = expression + + DMConstants.TYPE_GOTO: + d.is_snippet = is_snippet + d.next_id_after = next_id_after + if not siblings.is_empty(): + d.siblings = siblings + + DMConstants.TYPE_RANDOM: + d.siblings = siblings + + DMConstants.TYPE_RESPONSE: + d.text = text + + if not responses.is_empty(): + d.responses = responses + + if translation_key != text: + d.translation_key = translation_key + if not expression.is_empty(): + d.condition = expression + if not character.is_empty(): + d.character = character + if not character_replacements.is_empty(): + d.character_replacements = character_replacements + if not text_replacements.is_empty(): + d.text_replacements = text_replacements + if not tags.is_empty(): + d.tags = tags + if not notes.is_empty(): + d.notes = notes + if not expression_text.is_empty(): + d.condition_as_text = expression_text + + DMConstants.TYPE_DIALOGUE: + d.text = text + + if translation_key != text: + d.translation_key = translation_key + + if not character.is_empty(): + d.character = character + if not character_replacements.is_empty(): + d.character_replacements = character_replacements + if not text_replacements.is_empty(): + d.text_replacements = text_replacements + if not tags.is_empty(): + d.tags = tags + if not notes.is_empty(): + d.notes = notes + if not siblings.is_empty(): + d.siblings = siblings + if not concurrent_lines.is_empty(): + d.concurrent_lines = concurrent_lines + + return d + + +#endregion diff --git a/addons/dialogue_manager/compiler/compiled_line.gd.uid b/addons/dialogue_manager/compiler/compiled_line.gd.uid new file mode 100644 index 0000000..17ec55e --- /dev/null +++ b/addons/dialogue_manager/compiler/compiled_line.gd.uid @@ -0,0 +1 @@ +uid://dg8j5hudp4210 diff --git a/addons/dialogue_manager/compiler/compiler.gd b/addons/dialogue_manager/compiler/compiler.gd new file mode 100644 index 0000000..99f6744 --- /dev/null +++ b/addons/dialogue_manager/compiler/compiler.gd @@ -0,0 +1,57 @@ +## A compiler of Dialogue Manager dialogue. +class_name DMCompiler extends RefCounted + + +## Compile a dialogue script. +static func compile_string(text: String, path: String) -> DMCompilerResult: + var compilation: DMCompilation = DMCompilation.new() + compilation.compile(text, path) + + var result: DMCompilerResult = DMCompilerResult.new() + result.imported_paths = compilation.imported_paths + result.using_states = compilation.using_states + result.character_names = compilation.character_names + result.titles = compilation.titles + result.first_title = compilation.first_title + result.errors = compilation.errors + result.lines = compilation.data + result.raw_text = text + + return result + + +## Get the line type of a string. The returned string will match one of the [code]TYPE_[/code] constants of [DMConstants]. +static func get_line_type(text: String) -> String: + var compilation: DMCompilation = DMCompilation.new() + return compilation.get_line_type(text) + + +## Get the static line ID (eg. [code][ID:SOMETHING][/code]) of some text. +static func get_static_line_id(text: String) -> String: + var compilation: DMCompilation = DMCompilation.new() + return compilation.extract_static_line_id(text) + + +## Get the translatable part of a line. +static func extract_translatable_string(text: String) -> String: + var compilation: DMCompilation = DMCompilation.new() + + var tree_line = DMTreeLine.new("") + tree_line.text = text + var line: DMCompiledLine = DMCompiledLine.new("", compilation.get_line_type(text)) + compilation.parse_character_and_dialogue(tree_line, line, [tree_line], 0, null) + + return line.text + + +## Extract a mutation from a string. +static func extract_mutation(text: String) -> Dictionary: + var compilation: DMCompilation = DMCompilation.new() + return compilation.extract_mutation(text) + + +## Get the known titles in a dialogue script. +static func get_titles_in_text(text: String, path: String) -> Dictionary: + var compilation: DMCompilation = DMCompilation.new() + compilation.build_line_tree(compilation.inject_imported_files(text, path)) + return compilation.titles diff --git a/addons/dialogue_manager/compiler/compiler.gd.uid b/addons/dialogue_manager/compiler/compiler.gd.uid new file mode 100644 index 0000000..e041f10 --- /dev/null +++ b/addons/dialogue_manager/compiler/compiler.gd.uid @@ -0,0 +1 @@ +uid://chtfdmr0cqtp4 diff --git a/addons/dialogue_manager/compiler/compiler_regex.gd b/addons/dialogue_manager/compiler/compiler_regex.gd new file mode 100644 index 0000000..f2b04b0 --- /dev/null +++ b/addons/dialogue_manager/compiler/compiler_regex.gd @@ -0,0 +1,50 @@ +## A collection of [RegEx] for use by the [DMCompiler]. +class_name DMCompilerRegEx extends RefCounted + + +var IMPORT_REGEX: RegEx = RegEx.create_from_string("import \"(?[^\"]+)\" as (?[a-zA-Z_\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}][a-zA-Z_0-9\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}]+)") +var USING_REGEX: RegEx = RegEx.create_from_string("^using (?.*)$") +var INDENT_REGEX: RegEx = RegEx.create_from_string("^\\t+") +var VALID_TITLE_REGEX: RegEx = RegEx.create_from_string("^[a-zA-Z_0-9\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}][a-zA-Z_0-9\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}]*$") +var BEGINS_WITH_NUMBER_REGEX: RegEx = RegEx.create_from_string("^\\d") +var CONDITION_REGEX: RegEx = RegEx.create_from_string("(if|elif|while|else if|match|when) (?.*)\\:?") +var WRAPPED_CONDITION_REGEX: RegEx = RegEx.create_from_string("\\[if (?.*)\\]") +var MUTATION_REGEX: RegEx = RegEx.create_from_string("(?\\$\\>|\\$\\>\\>|do|do!|set) (?.*)") +var STATIC_LINE_ID_REGEX: RegEx = RegEx.create_from_string("\\[ID:(?.*?)\\]") +var WEIGHTED_RANDOM_SIBLINGS_REGEX: RegEx = RegEx.create_from_string("^\\%(?[\\d.]+)?( \\[if (?.+?)\\])? ") +var GOTO_REGEX: RegEx = RegEx.create_from_string("=>.*)") + +var INLINE_RANDOM_REGEX: RegEx = RegEx.create_from_string("\\[\\[(?.*?)\\]\\]") +var INLINE_CONDITIONALS_REGEX: RegEx = RegEx.create_from_string("\\[if (?.+?)\\](?.*?)\\[\\/if\\]") + +var TAGS_REGEX: RegEx = RegEx.create_from_string("\\[#(?.*?)\\]") + +var REPLACEMENTS_REGEX: RegEx = RegEx.create_from_string("{{(.*?)}}") + +var ALPHA_NUMERIC: RegEx = RegEx.create_from_string("[^a-zA-Z0-9\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}]+") + +var TOKEN_DEFINITIONS: Dictionary = { + DMConstants.TOKEN_FUNCTION: RegEx.create_from_string("^[a-zA-Z_\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}][a-zA-Z_0-9\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}]*\\("), + DMConstants.TOKEN_DICTIONARY_REFERENCE: RegEx.create_from_string("^[a-zA-Z_\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}][a-zA-Z_0-9\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}]*\\["), + DMConstants.TOKEN_PARENS_OPEN: RegEx.create_from_string("^\\("), + DMConstants.TOKEN_PARENS_CLOSE: RegEx.create_from_string("^\\)"), + DMConstants.TOKEN_BRACKET_OPEN: RegEx.create_from_string("^\\["), + DMConstants.TOKEN_BRACKET_CLOSE: RegEx.create_from_string("^\\]"), + DMConstants.TOKEN_BRACE_OPEN: RegEx.create_from_string("^\\{"), + DMConstants.TOKEN_BRACE_CLOSE: RegEx.create_from_string("^\\}"), + DMConstants.TOKEN_COLON: RegEx.create_from_string("^:"), + DMConstants.TOKEN_COMPARISON: RegEx.create_from_string("^(==|<=|>=|<|>|!=|in )"), + DMConstants.TOKEN_ASSIGNMENT: RegEx.create_from_string("^(\\+=|\\-=|\\*=|/=|=)"), + DMConstants.TOKEN_NUMBER: RegEx.create_from_string("^\\-?\\d+(\\.\\d+)?"), + DMConstants.TOKEN_OPERATOR: RegEx.create_from_string("^(\\+|\\-|\\*|/|%)"), + DMConstants.TOKEN_COMMA: RegEx.create_from_string("^,"), + DMConstants.TOKEN_NULL_COALESCE: RegEx.create_from_string("^\\?\\."), + DMConstants.TOKEN_DOT: RegEx.create_from_string("^\\."), + DMConstants.TOKEN_STRING: RegEx.create_from_string("^&?(\".*?\"|\'.*?\')"), + DMConstants.TOKEN_NOT: RegEx.create_from_string("^(not( |$)|!)"), + DMConstants.TOKEN_AND_OR: RegEx.create_from_string("^(and|or|&&|\\|\\|)( |$)"), + DMConstants.TOKEN_VARIABLE: RegEx.create_from_string("^[a-zA-Z_\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}][a-zA-Z_0-9\\p{Emoji_Presentation}\\p{Han}\\p{Katakana}\\p{Hiragana}\\p{Cyrillic}]*"), + DMConstants.TOKEN_COMMENT: RegEx.create_from_string("^#.*"), + DMConstants.TOKEN_CONDITION: RegEx.create_from_string("^(if|elif|else)"), + DMConstants.TOKEN_BOOL: RegEx.create_from_string("^(true|false)") +} diff --git a/addons/dialogue_manager/compiler/compiler_regex.gd.uid b/addons/dialogue_manager/compiler/compiler_regex.gd.uid new file mode 100644 index 0000000..bd969df --- /dev/null +++ b/addons/dialogue_manager/compiler/compiler_regex.gd.uid @@ -0,0 +1 @@ +uid://d3tvcrnicjibp diff --git a/addons/dialogue_manager/compiler/compiler_result.gd b/addons/dialogue_manager/compiler/compiler_result.gd new file mode 100644 index 0000000..acbf60f --- /dev/null +++ b/addons/dialogue_manager/compiler/compiler_result.gd @@ -0,0 +1,27 @@ +## The result of using the [DMCompiler] to compile some dialogue. +class_name DMCompilerResult extends RefCounted + + +## Any paths that were imported into the compiled dialogue file. +var imported_paths: PackedStringArray = [] + +## Any "using" directives. +var using_states: PackedStringArray = [] + +## All titles in the file and the line they point to. +var titles: Dictionary = {} + +## The first title in the file. +var first_title: String = "" + +## All character names. +var character_names: PackedStringArray = [] + +## Any compilation errors. +var errors: Array[Dictionary] = [] + +## A map of all compiled lines. +var lines: Dictionary = {} + +## The raw dialogue text. +var raw_text: String = "" diff --git a/addons/dialogue_manager/compiler/compiler_result.gd.uid b/addons/dialogue_manager/compiler/compiler_result.gd.uid new file mode 100644 index 0000000..f1f76fd --- /dev/null +++ b/addons/dialogue_manager/compiler/compiler_result.gd.uid @@ -0,0 +1 @@ +uid://dmk74tknimqvg diff --git a/addons/dialogue_manager/compiler/expression_parser.gd b/addons/dialogue_manager/compiler/expression_parser.gd new file mode 100644 index 0000000..7dfb2af --- /dev/null +++ b/addons/dialogue_manager/compiler/expression_parser.gd @@ -0,0 +1,529 @@ +## A class for parsing a condition/mutation expression for use with the [DMCompiler]. +class_name DMExpressionParser extends RefCounted + + +var include_comments: bool = false + + +# Reference to the common [RegEx] that the parser needs. +var regex: DMCompilerRegEx = DMCompilerRegEx.new() + + +## Break a string down into an expression. +func tokenise(text: String, line_type: String, index: int) -> Array: + var tokens: Array[Dictionary] = [] + var limit: int = 0 + while text.strip_edges() != "" and limit < 1000: + limit += 1 + var found = _find_match(text) + if found.size() > 0: + tokens.append({ + index = index, + type = found.type, + value = found.value + }) + index += found.value.length() + text = found.remaining_text + elif text.begins_with(" "): + index += 1 + text = text.substr(1) + else: + return _build_token_tree_error([], DMConstants.ERR_INVALID_EXPRESSION, index) + + return _build_token_tree(tokens, line_type, "")[0] + + +## Extract any expressions from some text +func extract_replacements(text: String, index: int) -> Array[Dictionary]: + var founds: Array[RegExMatch] = regex.REPLACEMENTS_REGEX.search_all(text) + + if founds == null or founds.size() == 0: + return [] + + var replacements: Array[Dictionary] = [] + for found in founds: + var replacement: Dictionary = {} + var value_in_text: String = found.strings[0].substr(0, found.strings[0].length() - 2).substr(2) + + # If there are closing curlie hard-up against the end of a {{...}} block then check for further + # curlies just outside of the block. + var text_suffix: String = text.substr(found.get_end(0)) + var expression_suffix: String = "" + while text_suffix.begins_with("}"): + expression_suffix += "}" + text_suffix = text_suffix.substr(1) + value_in_text += expression_suffix + + var expression: Array = tokenise(value_in_text, DMConstants.TYPE_DIALOGUE, index + found.get_start(1)) + if expression.size() == 0: + replacement = { + index = index + found.get_start(1), + error = DMConstants.ERR_INCOMPLETE_EXPRESSION + } + elif expression[0].type == DMConstants.TYPE_ERROR: + replacement = { + index = expression[0].i, + error = expression[0].value + } + else: + replacement = { + value_in_text = "{{%s}}" % value_in_text, + expression = expression + } + replacements.append(replacement) + + return replacements + + +#region Helpers + + +# Create a token that represents an error. +func _build_token_tree_error(tree: Array, error: int, index: int) -> Array: + tree.insert(0, { + type = DMConstants.TOKEN_ERROR, + value = error, + i = index + }) + return tree + + +# Convert a list of tokens into an abstract syntax tree. +func _build_token_tree(tokens: Array[Dictionary], line_type: String, expected_close_token: String) -> Array: + var tree: Array[Dictionary] = [] + var limit = 0 + while tokens.size() > 0 and limit < 1000: + limit += 1 + var token = tokens.pop_front() + + var error = _check_next_token(token, tokens, line_type, expected_close_token) + if error != OK: + var error_token: Dictionary = tokens[1] if tokens.size() > 1 else token + return [_build_token_tree_error(tree, error, error_token.index), tokens] + + match token.type: + DMConstants.TOKEN_COMMENT: + if include_comments: + tree.append({ + type = DMConstants.TOKEN_COMMENT, + value = token.value, + i = token.index + }) + + DMConstants.TOKEN_FUNCTION: + var sub_tree = _build_token_tree(tokens, line_type, DMConstants.TOKEN_PARENS_CLOSE) + + if sub_tree[0].size() > 0 and sub_tree[0][0].type == DMConstants.TOKEN_ERROR: + return [_build_token_tree_error(tree, sub_tree[0][0].value, sub_tree[0][0].i), tokens] + + tree.append({ + type = DMConstants.TOKEN_FUNCTION, + # Consume the trailing "(" + function = token.value.substr(0, token.value.length() - 1), + value = _tokens_to_list(sub_tree[0]), + i = token.index + }) + tokens = sub_tree[1] + + DMConstants.TOKEN_DICTIONARY_REFERENCE: + var sub_tree = _build_token_tree(tokens, line_type, DMConstants.TOKEN_BRACKET_CLOSE) + + if sub_tree[0].size() > 0 and sub_tree[0][0].type == DMConstants.TOKEN_ERROR: + return [_build_token_tree_error(tree, sub_tree[0][0].value, sub_tree[0][0].i), tokens] + + var args = _tokens_to_list(sub_tree[0]) + if args.size() != 1: + return [_build_token_tree_error(tree, DMConstants.ERR_INVALID_INDEX, token.index), tokens] + + tree.append({ + type = DMConstants.TOKEN_DICTIONARY_REFERENCE, + # Consume the trailing "[" + variable = token.value.substr(0, token.value.length() - 1), + value = args[0], + i = token.index + }) + tokens = sub_tree[1] + + DMConstants.TOKEN_BRACE_OPEN: + var sub_tree = _build_token_tree(tokens, line_type, DMConstants.TOKEN_BRACE_CLOSE) + + if sub_tree[0].size() > 0 and sub_tree[0][0].type == DMConstants.TOKEN_ERROR: + return [_build_token_tree_error(tree, sub_tree[0][0].value, sub_tree[0][0].i), tokens] + + var t = sub_tree[0] + for i in range(0, t.size() - 2): + # Convert Lua style dictionaries to string keys + if t[i].type == DMConstants.TOKEN_VARIABLE and t[i+1].type == DMConstants.TOKEN_ASSIGNMENT: + t[i].type = DMConstants.TOKEN_STRING + t[i+1].type = DMConstants.TOKEN_COLON + t[i+1].erase("value") + + tree.append({ + type = DMConstants.TOKEN_DICTIONARY, + value = _tokens_to_dictionary(sub_tree[0]), + i = token.index + }) + + tokens = sub_tree[1] + + DMConstants.TOKEN_BRACKET_OPEN: + var sub_tree = _build_token_tree(tokens, line_type, DMConstants.TOKEN_BRACKET_CLOSE) + + if sub_tree[0].size() > 0 and sub_tree[0][0].type == DMConstants.TOKEN_ERROR: + return [_build_token_tree_error(tree, sub_tree[0][0].value, sub_tree[0][0].i), tokens] + + var type = DMConstants.TOKEN_ARRAY + var value = _tokens_to_list(sub_tree[0]) + + # See if this is referencing a nested dictionary value + if tree.size() > 0: + var previous_token = tree[tree.size() - 1] + if previous_token.type in [DMConstants.TOKEN_DICTIONARY_REFERENCE, DMConstants.TOKEN_DICTIONARY_NESTED_REFERENCE]: + type = DMConstants.TOKEN_DICTIONARY_NESTED_REFERENCE + value = value[0] + + tree.append({ + type = type, + value = value, + i = token.index + }) + tokens = sub_tree[1] + + DMConstants.TOKEN_PARENS_OPEN: + var sub_tree = _build_token_tree(tokens, line_type, DMConstants.TOKEN_PARENS_CLOSE) + + if sub_tree[0].size() > 0 and sub_tree[0][0].type == DMConstants.TOKEN_ERROR: + return [_build_token_tree_error(tree, sub_tree[0][0].value, sub_tree[0][0].i), tokens] + + tree.append({ + type = DMConstants.TOKEN_GROUP, + value = sub_tree[0], + i = token.index + }) + tokens = sub_tree[1] + + DMConstants.TOKEN_PARENS_CLOSE, \ + DMConstants.TOKEN_BRACE_CLOSE, \ + DMConstants.TOKEN_BRACKET_CLOSE: + if token.type != expected_close_token: + return [_build_token_tree_error(tree, DMConstants.ERR_UNEXPECTED_CLOSING_BRACKET, token.index), tokens] + + tree.append({ + type = token.type, + i = token.index + }) + + return [tree, tokens] + + DMConstants.TOKEN_NOT: + # Double nots negate each other + if tokens.size() > 0 and tokens.front().type == DMConstants.TOKEN_NOT: + tokens.pop_front() + else: + tree.append({ + type = token.type, + i = token.index + }) + + DMConstants.TOKEN_COMMA, \ + DMConstants.TOKEN_COLON, \ + DMConstants.TOKEN_DOT, \ + DMConstants.TOKEN_NULL_COALESCE: + tree.append({ + type = token.type, + i = token.index + }) + + DMConstants.TOKEN_COMPARISON, \ + DMConstants.TOKEN_ASSIGNMENT, \ + DMConstants.TOKEN_OPERATOR, \ + DMConstants.TOKEN_AND_OR, \ + DMConstants.TOKEN_VARIABLE: + var value = token.value.strip_edges() + if value == "&&": + value = "and" + elif value == "||": + value = "or" + tree.append({ + type = token.type, + value = value, + i = token.index + }) + + DMConstants.TOKEN_STRING: + if token.value.begins_with("&"): + tree.append({ + type = token.type, + value = StringName(token.value.substr(2, token.value.length() - 3)), + i = token.index + }) + else: + tree.append({ + type = token.type, + value = token.value.substr(1, token.value.length() - 2), + i = token.index + }) + + DMConstants.TOKEN_CONDITION: + return [_build_token_tree_error(tree, DMConstants.ERR_UNEXPECTED_CONDITION, token.index), token] + + DMConstants.TOKEN_BOOL: + tree.append({ + type = token.type, + value = token.value.to_lower() == "true", + i = token.index + }) + + DMConstants.TOKEN_NUMBER: + var value = token.value.to_float() if "." in token.value else token.value.to_int() + # If previous token is a number and this one is a negative number then + # inject a minus operator token in between them. + if tree.size() > 0 and token.value.begins_with("-") and tree[tree.size() - 1].type == DMConstants.TOKEN_NUMBER: + tree.append(({ + type = DMConstants.TOKEN_OPERATOR, + value = "-", + i = token.index + })) + tree.append({ + type = token.type, + value = -1 * value, + i = token.index + }) + else: + tree.append({ + type = token.type, + value = value, + i = token.index + }) + + if expected_close_token != "": + var index: int = tokens[0].i if tokens.size() > 0 else 0 + return [_build_token_tree_error(tree, DMConstants.ERR_MISSING_CLOSING_BRACKET, index), tokens] + + return [tree, tokens] + + +# Check the next token to see if it is valid to follow this one. +func _check_next_token(token: Dictionary, next_tokens: Array[Dictionary], line_type: String, expected_close_token: String) -> Error: + var next_token: Dictionary = { type = null } + if next_tokens.size() > 0: + next_token = next_tokens.front() + + # Guard for assigning in a condition. If the assignment token isn't inside a Lua dictionary + # then it's an unexpected assignment in a condition line. + if token.type == DMConstants.TOKEN_ASSIGNMENT and line_type == DMConstants.TYPE_CONDITION and not next_tokens.any(func(t): return t.type == expected_close_token): + return DMConstants.ERR_UNEXPECTED_ASSIGNMENT + + # Special case for a negative number after this one + if token.type == DMConstants.TOKEN_NUMBER and next_token.type == DMConstants.TOKEN_NUMBER and next_token.value.begins_with("-"): + return OK + + var expected_token_types = [] + var unexpected_token_types = [] + match token.type: + DMConstants.TOKEN_FUNCTION, \ + DMConstants.TOKEN_PARENS_OPEN: + unexpected_token_types = [ + null, + DMConstants.TOKEN_COMMA, + DMConstants.TOKEN_COLON, + DMConstants.TOKEN_COMPARISON, + DMConstants.TOKEN_ASSIGNMENT, + DMConstants.TOKEN_OPERATOR, + DMConstants.TOKEN_AND_OR, + DMConstants.TOKEN_DOT + ] + + DMConstants.TOKEN_BRACKET_CLOSE: + unexpected_token_types = [ + DMConstants.TOKEN_NOT, + DMConstants.TOKEN_BOOL, + DMConstants.TOKEN_STRING, + DMConstants.TOKEN_NUMBER, + DMConstants.TOKEN_VARIABLE + ] + + DMConstants.TOKEN_BRACE_OPEN: + expected_token_types = [ + DMConstants.TOKEN_STRING, + DMConstants.TOKEN_VARIABLE, + DMConstants.TOKEN_NUMBER, + DMConstants.TOKEN_BRACE_CLOSE + ] + + DMConstants.TOKEN_PARENS_CLOSE, \ + DMConstants.TOKEN_BRACE_CLOSE: + unexpected_token_types = [ + DMConstants.TOKEN_NOT, + DMConstants.TOKEN_ASSIGNMENT, + DMConstants.TOKEN_BOOL, + DMConstants.TOKEN_STRING, + DMConstants.TOKEN_NUMBER, + DMConstants.TOKEN_VARIABLE + ] + + DMConstants.TOKEN_COMPARISON, \ + DMConstants.TOKEN_OPERATOR, \ + DMConstants.TOKEN_DOT, \ + DMConstants.TOKEN_NULL_COALESCE, \ + DMConstants.TOKEN_NOT, \ + DMConstants.TOKEN_AND_OR, \ + DMConstants.TOKEN_DICTIONARY_REFERENCE: + unexpected_token_types = [ + null, + DMConstants.TOKEN_COMMA, + DMConstants.TOKEN_COLON, + DMConstants.TOKEN_COMPARISON, + DMConstants.TOKEN_ASSIGNMENT, + DMConstants.TOKEN_OPERATOR, + DMConstants.TOKEN_AND_OR, + DMConstants.TOKEN_PARENS_CLOSE, + DMConstants.TOKEN_BRACE_CLOSE, + DMConstants.TOKEN_BRACKET_CLOSE, + DMConstants.TOKEN_DOT + ] + + DMConstants.TOKEN_COMMA: + unexpected_token_types = [ + null, + DMConstants.TOKEN_COMMA, + DMConstants.TOKEN_COLON, + DMConstants.TOKEN_ASSIGNMENT, + DMConstants.TOKEN_OPERATOR, + DMConstants.TOKEN_AND_OR, + DMConstants.TOKEN_PARENS_CLOSE, + DMConstants.TOKEN_BRACE_CLOSE, + DMConstants.TOKEN_BRACKET_CLOSE, + DMConstants.TOKEN_DOT + ] + + DMConstants.TOKEN_COLON: + unexpected_token_types = [ + DMConstants.TOKEN_COMMA, + DMConstants.TOKEN_COLON, + DMConstants.TOKEN_COMPARISON, + DMConstants.TOKEN_ASSIGNMENT, + DMConstants.TOKEN_OPERATOR, + DMConstants.TOKEN_AND_OR, + DMConstants.TOKEN_PARENS_CLOSE, + DMConstants.TOKEN_BRACE_CLOSE, + DMConstants.TOKEN_BRACKET_CLOSE, + DMConstants.TOKEN_DOT + ] + + DMConstants.TOKEN_BOOL, \ + DMConstants.TOKEN_STRING, \ + DMConstants.TOKEN_NUMBER: + unexpected_token_types = [ + DMConstants.TOKEN_NOT, + DMConstants.TOKEN_ASSIGNMENT, + DMConstants.TOKEN_BOOL, + DMConstants.TOKEN_STRING, + DMConstants.TOKEN_NUMBER, + DMConstants.TOKEN_VARIABLE, + DMConstants.TOKEN_FUNCTION, + DMConstants.TOKEN_PARENS_OPEN, + DMConstants.TOKEN_BRACE_OPEN, + DMConstants.TOKEN_BRACKET_OPEN + ] + + DMConstants.TOKEN_VARIABLE: + unexpected_token_types = [ + DMConstants.TOKEN_NOT, + DMConstants.TOKEN_BOOL, + DMConstants.TOKEN_STRING, + DMConstants.TOKEN_NUMBER, + DMConstants.TOKEN_VARIABLE, + DMConstants.TOKEN_FUNCTION, + DMConstants.TOKEN_PARENS_OPEN, + DMConstants.TOKEN_BRACE_OPEN, + DMConstants.TOKEN_BRACKET_OPEN + ] + + if (expected_token_types.size() > 0 and not next_token.type in expected_token_types) \ + or (unexpected_token_types.size() > 0 and next_token.type in unexpected_token_types): + match next_token.type: + null: + return DMConstants.ERR_UNEXPECTED_END_OF_EXPRESSION + + DMConstants.TOKEN_FUNCTION: + return DMConstants.ERR_UNEXPECTED_FUNCTION + + DMConstants.TOKEN_PARENS_OPEN, \ + DMConstants.TOKEN_PARENS_CLOSE: + return DMConstants.ERR_UNEXPECTED_BRACKET + + DMConstants.TOKEN_COMPARISON, \ + DMConstants.TOKEN_ASSIGNMENT, \ + DMConstants.TOKEN_OPERATOR, \ + DMConstants.TOKEN_NOT, \ + DMConstants.TOKEN_AND_OR: + return DMConstants.ERR_UNEXPECTED_OPERATOR + + DMConstants.TOKEN_COMMA: + return DMConstants.ERR_UNEXPECTED_COMMA + DMConstants.TOKEN_COLON: + return DMConstants.ERR_UNEXPECTED_COLON + DMConstants.TOKEN_DOT: + return DMConstants.ERR_UNEXPECTED_DOT + + DMConstants.TOKEN_BOOL: + return DMConstants.ERR_UNEXPECTED_BOOLEAN + DMConstants.TOKEN_STRING: + return DMConstants.ERR_UNEXPECTED_STRING + DMConstants.TOKEN_NUMBER: + return DMConstants.ERR_UNEXPECTED_NUMBER + DMConstants.TOKEN_VARIABLE: + return DMConstants.ERR_UNEXPECTED_VARIABLE + + return DMConstants.ERR_INVALID_EXPRESSION + + return OK + + +# Convert a series of comma separated tokens to an [Array]. +func _tokens_to_list(tokens: Array[Dictionary]) -> Array[Array]: + var list: Array[Array] = [] + var current_item: Array[Dictionary] = [] + for token in tokens: + if token.type == DMConstants.TOKEN_COMMA: + list.append(current_item) + current_item = [] + else: + current_item.append(token) + + if current_item.size() > 0: + list.append(current_item) + + return list + + +# Convert a series of key/value tokens into a [Dictionary] +func _tokens_to_dictionary(tokens: Array[Dictionary]) -> Dictionary: + var dictionary = {} + for i in range(0, tokens.size()): + if tokens[i].type == DMConstants.TOKEN_COLON: + if tokens.size() == i + 2: + dictionary[tokens[i - 1]] = tokens[i + 1] + else: + dictionary[tokens[i - 1]] = { type = DMConstants.TOKEN_GROUP, value = tokens.slice(i + 1), i = tokens[0].i } + + return dictionary + + +# Work out what the next token is from a string. +func _find_match(input: String) -> Dictionary: + for key in regex.TOKEN_DEFINITIONS.keys(): + var regex = regex.TOKEN_DEFINITIONS.get(key) + var found = regex.search(input) + if found: + return { + type = key, + remaining_text = input.substr(found.strings[0].length()), + value = found.strings[0] + } + + return {} + + +#endregion diff --git a/addons/dialogue_manager/compiler/expression_parser.gd.uid b/addons/dialogue_manager/compiler/expression_parser.gd.uid new file mode 100644 index 0000000..0793701 --- /dev/null +++ b/addons/dialogue_manager/compiler/expression_parser.gd.uid @@ -0,0 +1 @@ +uid://dbi4hbar8ubwu diff --git a/addons/dialogue_manager/compiler/resolved_goto_data.gd b/addons/dialogue_manager/compiler/resolved_goto_data.gd new file mode 100644 index 0000000..16bca6f --- /dev/null +++ b/addons/dialogue_manager/compiler/resolved_goto_data.gd @@ -0,0 +1,68 @@ +## Data associated with a dialogue jump/goto line. +class_name DMResolvedGotoData extends RefCounted + + +## The title that was specified +var title: String = "" +## The target line's ID +var next_id: String = "" +## An expression to determine the target line at runtime. +var expression: Array[Dictionary] = [] +## The given line text with the jump syntax removed. +var text_without_goto: String = "" +## Whether this is a jump-and-return style jump. +var is_snippet: bool = false +## A parse error if there was one. +var error: int +## The index in the string where +var index: int = 0 + +# An instance of the compiler [RegEx] list. +var regex: DMCompilerRegEx = DMCompilerRegEx.new() + + +func _init(text: String, titles: Dictionary) -> void: + if not "=> " in text and not "=>< " in text: return + + if "=> " in text: + text_without_goto = text.substr(0, text.find("=> ")).strip_edges() + elif "=>< " in text: + is_snippet = true + text_without_goto = text.substr(0, text.find("=>< ")).strip_edges() + + var found: RegExMatch = regex.GOTO_REGEX.search(text) + if found == null: + return + + title = found.strings[found.names.goto].strip_edges() + index = found.get_start(0) + + if title == "": + error = DMConstants.ERR_UNKNOWN_TITLE + return + + # "=> END!" means end the conversation, ignoring any "=><" chains. + if title == "END!": + next_id = DMConstants.ID_END_CONVERSATION + + # "=> END" means end the current title (and go back to the previous one if there is one + # in the stack) + elif title == "END": + next_id = DMConstants.ID_END + + elif titles.has(title): + next_id = titles.get(title) + elif title.begins_with("{{"): + var expression_parser: DMExpressionParser = DMExpressionParser.new() + var title_expression: Array[Dictionary] = expression_parser.extract_replacements(title, 0) + if title_expression[0].has("error"): + error = title_expression[0].error + else: + expression = title_expression[0].expression + else: + next_id = title + error = DMConstants.ERR_UNKNOWN_TITLE + + +func _to_string() -> String: + return "%s =>%s %s (%s)" % [text_without_goto, "<" if is_snippet else "", title, next_id] diff --git a/addons/dialogue_manager/compiler/resolved_goto_data.gd.uid b/addons/dialogue_manager/compiler/resolved_goto_data.gd.uid new file mode 100644 index 0000000..cb05e08 --- /dev/null +++ b/addons/dialogue_manager/compiler/resolved_goto_data.gd.uid @@ -0,0 +1 @@ +uid://llhl5pt47eoq diff --git a/addons/dialogue_manager/compiler/resolved_line_data.gd b/addons/dialogue_manager/compiler/resolved_line_data.gd new file mode 100644 index 0000000..31e9b21 --- /dev/null +++ b/addons/dialogue_manager/compiler/resolved_line_data.gd @@ -0,0 +1,160 @@ +## Any data associated with inline dialogue BBCodes. +class_name DMResolvedLineData extends RefCounted + +## The line's text +var text: String = "" +## A map of speed changes against where they are found in the text. +var speeds: Dictionary = {} +## A list of any mutations to run and where they are found in the text. +var mutations: Array[Array] = [] +## A duration reference for the line. Represented as "auto" or a stringified number. +var time: String = "" + + +func _init(line: String) -> void: + text = line + speeds = {} + mutations = [] + time = "" + + var bbcodes: Array = [] + + # Remove any escaped brackets (ie. "\[") + var escaped_open_brackets: PackedInt32Array = [] + var escaped_close_brackets: PackedInt32Array = [] + for i in range(0, text.length() - 1): + if text.substr(i, 2) == "\\[": + text = text.substr(0, i) + "!" + text.substr(i + 2) + escaped_open_brackets.append(i) + elif text.substr(i, 2) == "\\]": + text = text.substr(0, i) + "!" + text.substr(i + 2) + escaped_close_brackets.append(i) + + # Extract all of the BB codes so that we know the actual text (we could do this easier with + # a RichTextLabel but then we'd need to await idle_frame which is annoying) + var bbcode_positions = find_bbcode_positions_in_string(text) + var accumulaive_length_offset = 0 + for position in bbcode_positions: + # Ignore our own markers + if position.code in ["wait", "speed", "/speed", "$>", "$>>", "do", "do!", "set", "next", "if", "else", "/if"]: + continue + + bbcodes.append({ + bbcode = position.bbcode, + start = position.start, + offset_start = position.start - accumulaive_length_offset + }) + accumulaive_length_offset += position.bbcode.length() + + for bb in bbcodes: + text = text.substr(0, bb.offset_start) + text.substr(bb.offset_start + bb.bbcode.length()) + + # Now find any dialogue markers + var next_bbcode_position = find_bbcode_positions_in_string(text, false) + var limit = 0 + while next_bbcode_position.size() > 0 and limit < 1000: + limit += 1 + + var bbcode = next_bbcode_position[0] + var index = bbcode.start + var code = bbcode.code + var raw_args = bbcode.raw_args + var args = {} + if code in ["$>", "$>>", "do", "do!", "set"]: + args["value"] = DMCompiler.extract_mutation("%s %s" % [code, raw_args]) + else: + # Could be something like: + # "=1.0" + # " rate=20 level=10" + if raw_args and raw_args[0] == "=": + raw_args = "value" + raw_args + for pair in raw_args.strip_edges().split(" "): + if "=" in pair: + var bits = pair.split("=") + args[bits[0]] = bits[1] + + match code: + "wait": + var wait: Dictionary = DMCompiler.extract_mutation("do wait(%s)" % [args.get("value", "null")]) + mutations.append([index, wait]) + "speed": + speeds[index] = args.get("value").to_float() + "/speed": + speeds[index] = 1.0 + "$>", "$>>", "do", "do!", "set": + mutations.append([index, args.get("value")]) + "next": + time = args.get("value") if args.has("value") else "0" + + # Find any BB codes that are after this index and remove the length from their start + var length = bbcode.bbcode.length() + for bb in bbcodes: + if bb.offset_start > bbcode.start: + bb.offset_start -= length + bb.start -= length + + # Find any escaped brackets after this that need moving + for i in range(0, escaped_open_brackets.size()): + if escaped_open_brackets[i] > bbcode.start: + escaped_open_brackets[i] -= length + for i in range(0, escaped_close_brackets.size()): + if escaped_close_brackets[i] > bbcode.start: + escaped_close_brackets[i] -= length + + text = text.substr(0, index) + text.substr(index + length) + next_bbcode_position = find_bbcode_positions_in_string(text, false) + + # Put the BB Codes back in + for bb in bbcodes: + text = text.insert(bb.start, bb.bbcode) + + # Put the escaped brackets back in + for index in escaped_open_brackets: + text = text.left(index) + "[" + text.right(text.length() - index - 1) + for index in escaped_close_brackets: + text = text.left(index) + "]" + text.right(text.length() - index - 1) + + +func find_bbcode_positions_in_string(string: String, find_all: bool = true, include_conditions: bool = false) -> Array[Dictionary]: + if not "[" in string: return [] + + var positions: Array[Dictionary] = [] + + var open_brace_count: int = 0 + var start: int = 0 + var bbcode: String = "" + var code: String = "" + var is_finished_code: bool = false + for i in range(0, string.length()): + if string[i] == "[": + if open_brace_count == 0: + start = i + bbcode = "" + code = "" + is_finished_code = false + open_brace_count += 1 + + else: + if not is_finished_code and (string[i].to_upper() != string[i] or ["/", "!", "$", ">"].has(string[i])): + code += string[i] + else: + is_finished_code = true + + if open_brace_count > 0: + bbcode += string[i] + + if string[i] == "]": + open_brace_count -= 1 + if open_brace_count == 0 and (include_conditions or not code in ["if", "else", "/if"]): + positions.append({ + bbcode = bbcode, + code = code, + start = start, + end = i, + raw_args = bbcode.substr(code.length() + 1, bbcode.length() - code.length() - 2).strip_edges() + }) + + if not find_all: + return positions + + return positions diff --git a/addons/dialogue_manager/compiler/resolved_line_data.gd.uid b/addons/dialogue_manager/compiler/resolved_line_data.gd.uid new file mode 100644 index 0000000..bbea7d2 --- /dev/null +++ b/addons/dialogue_manager/compiler/resolved_line_data.gd.uid @@ -0,0 +1 @@ +uid://0k6q8kukq0qa diff --git a/addons/dialogue_manager/compiler/resolved_tag_data.gd b/addons/dialogue_manager/compiler/resolved_tag_data.gd new file mode 100644 index 0000000..e926ada --- /dev/null +++ b/addons/dialogue_manager/compiler/resolved_tag_data.gd @@ -0,0 +1,26 @@ +## Tag data associated with a line of dialogue. +class_name DMResolvedTagData extends RefCounted + + +## The list of tags. +var tags: PackedStringArray = [] +## The line with any tag syntax removed. +var text_without_tags: String = "" + +# An instance of the compiler [RegEx]. +var regex: DMCompilerRegEx = DMCompilerRegEx.new() + + +func _init(text: String) -> void: + var resolved_tags: PackedStringArray = [] + var tag_matches: Array[RegExMatch] = regex.TAGS_REGEX.search_all(text) + for tag_match in tag_matches: + text = text.replace(tag_match.get_string(), "") + var tags = tag_match.get_string().replace("[#", "").replace("]", "").replace(", ", ",").split(",") + for tag in tags: + tag = tag.replace("#", "") + if not tag in resolved_tags: + resolved_tags.append(tag) + + tags = resolved_tags + text_without_tags = text diff --git a/addons/dialogue_manager/compiler/resolved_tag_data.gd.uid b/addons/dialogue_manager/compiler/resolved_tag_data.gd.uid new file mode 100644 index 0000000..98c6f51 --- /dev/null +++ b/addons/dialogue_manager/compiler/resolved_tag_data.gd.uid @@ -0,0 +1 @@ +uid://cqai3ikuilqfq diff --git a/addons/dialogue_manager/compiler/tree_line.gd b/addons/dialogue_manager/compiler/tree_line.gd new file mode 100644 index 0000000..667daad --- /dev/null +++ b/addons/dialogue_manager/compiler/tree_line.gd @@ -0,0 +1,46 @@ +## An intermediate representation of a dialogue line before it gets compiled. +class_name DMTreeLine extends RefCounted + + +## The line number where this dialogue was found (after imported files have had their content imported). +var line_number: int = 0 +## The parent [DMTreeLine] of this line. +## This is stored as a Weak Reference so that this RefCounted can elegantly free itself. +## Without it being a Weak Reference, this can easily cause a cyclical reference that keeps this resource alive. +var parent: WeakRef +## The ID of this line. +var id: String +## The type of this line (as a [String] defined in [DMConstants]. +var type: String = "" +## Is this line part of a randomised group? +var is_random: bool = false +## The indent count for this line. +var indent: int = 0 +## The text of this line. +var text: String = "" +## The child [DMTreeLine]s of this line. +var children: Array[DMTreeLine] = [] +## Any doc comments attached to this line. +var notes: String = "" +## Is this a dialogue line that is the child of another dialogue line? +var is_nested_dialogue: bool = false + + +func _init(initial_id: String) -> void: + id = initial_id + + +func _to_string() -> String: + var tabs = [] + tabs.resize(indent) + tabs.fill("\t") + tabs = "".join(tabs) + + return tabs.join([tabs + "{\n", + "\tid: %s\n" % [id], + "\ttype: %s\n" % [type], + "\tis_random: %s\n" % ["true" if is_random else "false"], + "\ttext: %s\n" % [text], + "\tnotes: %s\n" % [notes], + "\tchildren: []\n" if children.size() == 0 else "\tchildren: [\n" + ",\n".join(children.map(func(child): return str(child))) + "]\n", + "}"]) diff --git a/addons/dialogue_manager/compiler/tree_line.gd.uid b/addons/dialogue_manager/compiler/tree_line.gd.uid new file mode 100644 index 0000000..fe1db3a --- /dev/null +++ b/addons/dialogue_manager/compiler/tree_line.gd.uid @@ -0,0 +1 @@ +uid://dsu4i84dpif14 diff --git a/addons/dialogue_manager/components/code_edit.gd b/addons/dialogue_manager/components/code_edit.gd new file mode 100644 index 0000000..8d563ea --- /dev/null +++ b/addons/dialogue_manager/components/code_edit.gd @@ -0,0 +1,629 @@ +@tool +class_name DMCodeEdit extends CodeEdit + + +signal active_title_change(title: String) +signal error_clicked(line_number: int) +signal external_file_requested(path: String, title: String) + + +# A link back to the owner `MainView` +var main_view + +# Theme overrides for syntax highlighting, etc +var theme_overrides: Dictionary: + set(value): + theme_overrides = value + + syntax_highlighter = DMSyntaxHighlighter.new() + + # General UI + add_theme_color_override("font_color", theme_overrides.text_color) + add_theme_color_override("background_color", theme_overrides.background_color) + add_theme_color_override("current_line_color", theme_overrides.current_line_color) + add_theme_font_override("font", get_theme_font("source", "EditorFonts")) + add_theme_font_size_override("font_size", theme_overrides.font_size * theme_overrides.scale) + font_size = round(theme_overrides.font_size) + get: + return theme_overrides + +# Any parse errors +var errors: Array: + set(next_errors): + errors = next_errors + for i in range(0, get_line_count()): + var is_error: bool = false + for error in errors: + if error.line_number == i: + is_error = true + mark_line_as_error(i, is_error) + _on_code_edit_caret_changed() + get: + return errors + +# The last selection (if there was one) so we can remember it for refocusing +var last_selected_text: String + +var font_size: int: + set(value): + font_size = value + add_theme_font_size_override("font_size", font_size * theme_overrides.scale) + get: + return font_size + +var WEIGHTED_RANDOM_PREFIX: RegEx = RegEx.create_from_string("^\\%[\\d.]+\\s") + +var compiler_regex: DMCompilerRegEx = DMCompilerRegEx.new() +var _autoloads: Dictionary[String, String] = {} +var _autoload_member_cache: Dictionary[String, Dictionary] = {} + + +func _ready() -> void: + # Add error gutter + add_gutter(0) + set_gutter_type(0, TextEdit.GUTTER_TYPE_ICON) + + # Add comment delimiter + if not has_comment_delimiter("#"): + add_comment_delimiter("#", "", true) + + syntax_highlighter = DMSyntaxHighlighter.new() + + # Keep track of any autoloads + ProjectSettings.settings_changed.connect(_on_project_settings_changed) + _on_project_settings_changed() + + +func _gui_input(event: InputEvent) -> void: + # Handle shortcuts that come from the editor + if event is InputEventKey and event.is_pressed(): + var shortcut: String = Engine.get_meta("DialogueManagerPlugin").get_editor_shortcut(event) + match shortcut: + "toggle_comment": + toggle_comment() + get_viewport().set_input_as_handled() + "delete_line": + delete_current_line() + get_viewport().set_input_as_handled() + "move_up": + move_line(-1) + get_viewport().set_input_as_handled() + "move_down": + move_line(1) + get_viewport().set_input_as_handled() + "text_size_increase": + self.font_size += 1 + get_viewport().set_input_as_handled() + "text_size_decrease": + self.font_size -= 1 + get_viewport().set_input_as_handled() + "text_size_reset": + self.font_size = theme_overrides.font_size + get_viewport().set_input_as_handled() + "make_bold": + insert_bbcode("[b]", "[/b]") + get_viewport().set_input_as_handled() + "make_italic": + insert_bbcode("[i]", "[/i]") + get_viewport().set_input_as_handled() + + elif event is InputEventMouse: + match event.as_text(): + "Ctrl+Mouse Wheel Up", "Command+Mouse Wheel Up": + self.font_size += 1 + get_viewport().set_input_as_handled() + "Ctrl+Mouse Wheel Down", "Command+Mouse Wheel Down": + self.font_size -= 1 + get_viewport().set_input_as_handled() + + +func _can_drop_data(at_position: Vector2, data) -> bool: + if typeof(data) != TYPE_DICTIONARY: return false + if data.type != "files": return false + + var files: PackedStringArray = Array(data.files) + return files.size() > 0 + + +func _drop_data(at_position: Vector2, data) -> void: + var replace_regex: RegEx = RegEx.create_from_string("[^a-zA-Z_0-9]+") + + var files: PackedStringArray = Array(data.files) + for file in files: + # Don't import the file into itself + if file == main_view.current_file_path: continue + + if file.get_extension() == "dialogue": + var path = file.replace("res://", "").replace(".dialogue", "") + # Find the first non-import line in the file to add our import + var lines = text.split("\n") + for i in range(0, lines.size()): + if not lines[i].begins_with("import "): + insert_line_at(i, "import \"%s\" as %s\n" % [file, replace_regex.sub(path, "_", true)]) + set_caret_line(i) + break + else: + var cursor: Vector2 = get_line_column_at_pos(at_position) + if cursor.x > -1 and cursor.y > -1: + set_cursor(cursor) + remove_secondary_carets() + var resource = load(file) + # If the dropped file is an audio stream then assume it's a voice reference + if is_instance_of(resource, AudioStream): + var current_voice_regex: RegEx = RegEx.create_from_string("\\[#voice=.+\\]") + var path: String = ResourceUID.call("path_to_uid", file) if ResourceUID.has_method("path_to_uid") else file + var line_text: String = get_line(cursor.y) + var voice_text: String = "[#voice=%s]" % [path] + if current_voice_regex.search(line_text): + set_line(cursor.y, current_voice_regex.replace(get_line(cursor.y), voice_text)) + else: + insert_text(" " + voice_text, cursor.y, line_text.length()) + # Other wise it's just a file reference + else: + insert_text("\"%s\"" % file, cursor.y, cursor.x) + grab_focus() + + +func _request_code_completion(force: bool) -> void: + var cursor: Vector2 = get_cursor() + var current_line: String = get_line(cursor.y) + + # Match jumps + if ("=> " in current_line or "=>< " in current_line) and (cursor.x > current_line.find("=>")): + var prompt: String = current_line.split("=>")[1] + if prompt.begins_with("< "): + prompt = prompt.substr(2) + else: + prompt = prompt.substr(1) + + if "=> " in current_line: + if matches_prompt(prompt, "end"): + add_code_completion_option(CodeEdit.KIND_CLASS, "END", "END".substr(prompt.length()), theme_overrides.text_color, get_theme_icon("Stop", "EditorIcons")) + if matches_prompt(prompt, "end!"): + add_code_completion_option(CodeEdit.KIND_CLASS, "END!", "END!".substr(prompt.length()), theme_overrides.text_color, get_theme_icon("Stop", "EditorIcons")) + + # Get all titles, including those in imports + for title: String in DMCompiler.get_titles_in_text(text, main_view.current_file_path): + # Ignore any imported titles that aren't resolved to human readable. + if title.to_int() > 0: + continue + + elif "/" in title: + var bits = title.split("/") + if matches_prompt(prompt, bits[0]) or matches_prompt(prompt, bits[1]): + add_code_completion_option(CodeEdit.KIND_CLASS, title, title.substr(prompt.length()), theme_overrides.text_color, get_theme_icon("CombineLines", "EditorIcons")) + elif matches_prompt(prompt, title): + add_code_completion_option(CodeEdit.KIND_CLASS, title, title.substr(prompt.length()), theme_overrides.text_color, get_theme_icon("ArrowRight", "EditorIcons")) + + # Match character names + var name_so_far: String = WEIGHTED_RANDOM_PREFIX.sub(current_line.strip_edges(), "") + if name_so_far != "" and name_so_far[0].to_upper() == name_so_far[0]: + # Only show names starting with that character + var names: PackedStringArray = get_character_names(name_so_far) + if names.size() > 0: + for name in names: + add_code_completion_option(CodeEdit.KIND_CLASS, name + ": ", name.substr(name_so_far.length()) + ": ", theme_overrides.text_color, get_theme_icon("Sprite2D", "EditorIcons")) + + # Match autoloads on mutation lines + for prefix in ["$>", "$>>", "do ", "do! ", "set ", "if ", "elif ", "else if ", "match ", "when ", "using "]: + if (current_line.strip_edges().begins_with(prefix) and (cursor.x > current_line.find(prefix))): + var expression: String = current_line.substr(0, cursor.x).strip_edges().substr(3) + # Find the last couple of tokens + var possible_prompt: String = expression.reverse() + possible_prompt = possible_prompt.substr(0, possible_prompt.find(" ")) + possible_prompt = possible_prompt.substr(0, possible_prompt.find("(")) + possible_prompt = possible_prompt.reverse() + var segments: PackedStringArray = possible_prompt.split(".").slice(-2) + var auto_completes: Array[Dictionary] = [] + + # Autoloads and state shortcuts + if segments.size() == 1: + var prompt: String = segments[0] + for autoload in _autoloads.keys(): + if matches_prompt(prompt, autoload): + auto_completes.append({ + prompt = prompt, + text = autoload, + type = "script" + }) + for autoload in get_state_shortcuts(): + for member: Dictionary in get_members_for_autoload(autoload): + if matches_prompt(prompt, member.name): + auto_completes.append({ + prompt = prompt, + text = member.name, + type = member.type + }) + + # Members of an autoload + elif segments[0] in _autoloads.keys() and not current_line.strip_edges().begins_with("using "): + var prompt: String = segments[1] + for member: Dictionary in get_members_for_autoload(segments[0]): + if matches_prompt(prompt, member.name): + auto_completes.append({ + prompt = prompt, + text = member.name, + type = member.type + }) + + auto_completes.sort_custom(func(a, b): return a.text < b.text) + + for auto_complete in auto_completes: + var icon: Texture2D + var text: String = auto_complete.text + match auto_complete.type: + "script": + icon = get_theme_icon("Script", "EditorIcons") + "property": + icon = get_theme_icon("MemberProperty", "EditorIcons") + "method": + icon = get_theme_icon("MemberMethod", "EditorIcons") + text += "()" + "signal": + icon = get_theme_icon("MemberSignal", "EditorIcons") + "constant": + icon = get_theme_icon("MemberConstant", "EditorIcons") + var insert: String = text.substr(auto_complete.prompt.length()) + add_code_completion_option(CodeEdit.KIND_CLASS, text, insert, theme_overrides.text_color, icon) + + update_code_completion_options(true) + if get_code_completion_options().size() == 0: + cancel_code_completion() + + +func _filter_code_completion_candidates(candidates: Array) -> Array: + # Not sure why but if this method isn't overridden then all completions are wrapped in quotes. + return candidates + + +func _confirm_code_completion(replace: bool) -> void: + var completion = get_code_completion_option(get_code_completion_selected_index()) + begin_complex_operation() + # Delete any part of the text that we've already typed + if completion.insert_text.length() > 0: + for i in range(0, completion.display_text.length() - completion.insert_text.length()): + backspace() + # Insert the whole match + insert_text_at_caret(completion.display_text) + end_complex_operation() + + if completion.display_text.ends_with("()"): + set_cursor(get_cursor() - Vector2.RIGHT) + + # Close the autocomplete menu on the next tick + call_deferred("cancel_code_completion") + + +#region Helpers + + +# Get the current caret as a Vector2 +func get_cursor() -> Vector2: + return Vector2(get_caret_column(), get_caret_line()) + + +# Set the caret from a Vector2 +func set_cursor(from_cursor: Vector2) -> void: + set_caret_line(from_cursor.y, false) + set_caret_column(from_cursor.x, false) + + +# Check if a prompt is the start of a string without actually being that string +func matches_prompt(prompt: String, matcher: String) -> bool: + return prompt.length() < matcher.length() and matcher.to_lower().begins_with(prompt.to_lower()) + + +func get_state_shortcuts() -> PackedStringArray: + # Get any shortcuts defined in settings + var shortcuts: PackedStringArray = DMSettings.get_setting(DMSettings.STATE_AUTOLOAD_SHORTCUTS, []) + # Check for "using" clauses + for line: String in text.split("\n"): + var found: RegExMatch = compiler_regex.USING_REGEX.search(line) + if found: + shortcuts.append(found.strings[found.names.state]) + # Check for any other script sources + for extra_script_source in DMSettings.get_setting(DMSettings.EXTRA_AUTO_COMPLETE_SCRIPT_SOURCES, []): + shortcuts.append(extra_script_source) + + return shortcuts + + +func get_members_for_autoload(autoload_name: String) -> Array[Dictionary]: + # Debounce method list lookups + if _autoload_member_cache.has(autoload_name) and _autoload_member_cache.get(autoload_name).get("at") > Time.get_ticks_msec() - 10000: + return _autoload_member_cache.get(autoload_name).get("members") + + if not _autoloads.has(autoload_name) and not autoload_name.begins_with("res://") and not autoload_name.begins_with("uid://"): return [] + + var autoload = load(_autoloads.get(autoload_name, autoload_name)) + var script: Script = autoload if autoload is Script else autoload.get_script() + + if not is_instance_valid(script): return [] + + var members: Array[Dictionary] = [] + if script.resource_path.ends_with(".gd"): + for m: Dictionary in script.get_script_method_list(): + if not m.name.begins_with("@"): + members.append({ + name = m.name, + type = "method" + }) + for m: Dictionary in script.get_script_property_list(): + members.append({ + name = m.name, + type = "property" + }) + for m: Dictionary in script.get_script_signal_list(): + members.append({ + name = m.name, + type = "signal" + }) + for c: String in script.get_script_constant_map(): + members.append({ + name = c, + type = "constant" + }) + elif script.resource_path.ends_with(".cs"): + var dotnet = load(Engine.get_meta("DialogueManagerPlugin").get_plugin_path() + "/DialogueManager.cs").new() + for m: Dictionary in dotnet.GetMembersForAutoload(script): + members.append(m) + + _autoload_member_cache[autoload_name] = { + at = Time.get_ticks_msec(), + members = members + } + + return members + + +## Get a list of titles from the current text +func get_titles() -> PackedStringArray: + var titles = PackedStringArray([]) + var lines = text.split("\n") + for line in lines: + if line.strip_edges().begins_with("~ "): + titles.append(line.strip_edges().substr(2)) + + return titles + + +## Work out what the next title above the current line is +func check_active_title() -> void: + var line_number = get_caret_line() + var lines = text.split("\n") + # Look at each line above this one to find the next title line + for i in range(line_number, -1, -1): + if lines[i].begins_with("~ "): + active_title_change.emit(lines[i].replace("~ ", "")) + return + + active_title_change.emit("") + + +# Move the caret line to match a given title +func go_to_title(title: String) -> void: + var lines = text.split("\n") + for i in range(0, lines.size()): + if lines[i].strip_edges() == "~ " + title: + set_caret_line(i) + center_viewport_to_caret() + + +func get_character_names(beginning_with: String) -> PackedStringArray: + var names: PackedStringArray = [] + var lines = text.split("\n") + for line in lines: + if ": " in line: + var name: String = WEIGHTED_RANDOM_PREFIX.sub(line.split(": ")[0].strip_edges(), "") + if not name in names and matches_prompt(beginning_with, name): + names.append(name) + return names + + +# Mark a line as an error or not +func mark_line_as_error(line_number: int, is_error: bool) -> void: + # Lines display counting from 1 but are actually indexed from 0 + line_number -= 1 + + if line_number < 0: return + + if is_error: + set_line_background_color(line_number, theme_overrides.error_line_color) + set_line_gutter_icon(line_number, 0, get_theme_icon("StatusError", "EditorIcons")) + else: + set_line_background_color(line_number, theme_overrides.background_color) + set_line_gutter_icon(line_number, 0, null) + + +# Insert or wrap some bbcode at the caret/selection +func insert_bbcode(open_tag: String, close_tag: String = "") -> void: + if close_tag == "": + insert_text_at_caret(open_tag) + grab_focus() + else: + var selected_text = get_selected_text() + insert_text_at_caret("%s%s%s" % [open_tag, selected_text, close_tag]) + grab_focus() + set_caret_column(get_caret_column() - close_tag.length()) + +# Insert text at current caret position +# Move Caret down 1 line if not => END +func insert_text_at_cursor(text: String) -> void: + if text != "=> END": + insert_text_at_caret(text+"\n") + set_caret_line(get_caret_line()+1) + else: + insert_text_at_caret(text) + grab_focus() + + +# Toggle the selected lines as comments +func toggle_comment() -> void: + begin_complex_operation() + + var comment_delimiter: String = delimiter_comments[0] + var is_first_line: bool = true + var will_comment: bool = true + var selections: Array = [] + var line_offsets: Dictionary = {} + + for caret_index in range(0, get_caret_count()): + var from_line: int = get_caret_line(caret_index) + var from_column: int = get_caret_column(caret_index) + var to_line: int = get_caret_line(caret_index) + var to_column: int = get_caret_column(caret_index) + + if has_selection(caret_index): + from_line = get_selection_from_line(caret_index) + to_line = get_selection_to_line(caret_index) + from_column = get_selection_from_column(caret_index) + to_column = get_selection_to_column(caret_index) + + selections.append({ + from_line = from_line, + from_column = from_column, + to_line = to_line, + to_column = to_column + }) + + for line_number in range(from_line, to_line + 1): + if line_offsets.has(line_number): continue + + var line_text: String = get_line(line_number) + + # The first line determines if we are commenting or uncommentingg + if is_first_line: + is_first_line = false + will_comment = not line_text.strip_edges().begins_with(comment_delimiter) + + # Only comment/uncomment if the current line needs to + if will_comment: + set_line(line_number, comment_delimiter + line_text) + line_offsets[line_number] = 1 + elif line_text.begins_with(comment_delimiter): + set_line(line_number, line_text.substr(comment_delimiter.length())) + line_offsets[line_number] = -1 + else: + line_offsets[line_number] = 0 + + for caret_index in range(0, get_caret_count()): + var selection: Dictionary = selections[caret_index] + select( + selection.from_line, + selection.from_column + line_offsets[selection.from_line], + selection.to_line, + selection.to_column + line_offsets[selection.to_line], + caret_index + ) + set_caret_column(selection.from_column + line_offsets[selection.from_line], false, caret_index) + + end_complex_operation() + + text_set.emit() + text_changed.emit() + + +# Remove the current line +func delete_current_line() -> void: + var cursor = get_cursor() + if get_line_count() == 1: + select_all() + elif cursor.y == 0: + select(0, 0, 1, 0) + else: + select(cursor.y - 1, get_line_width(cursor.y - 1), cursor.y, get_line_width(cursor.y)) + delete_selection() + text_changed.emit() + + +# Move the selected lines up or down +func move_line(offset: int) -> void: + offset = clamp(offset, -1, 1) + + var starting_scroll := scroll_vertical + var cursor = get_cursor() + var reselect: bool = false + var from: int = cursor.y + var to: int = cursor.y + if has_selection(): + reselect = true + from = get_selection_from_line() + to = get_selection_to_line() + + var lines := text.split("\n") + + # Prevent the lines from being out of bounds + if from + offset < 0 or to + offset >= lines.size(): return + + var target_from_index = from - 1 if offset == -1 else to + 1 + var target_to_index = to if offset == -1 else from + var line_to_move = lines[target_from_index] + lines.remove_at(target_from_index) + lines.insert(target_to_index, line_to_move) + + text = "\n".join(lines) + + cursor.y += offset + set_cursor(cursor) + from += offset + to += offset + if reselect: + select(from, 0, to, get_line_width(to)) + + text_changed.emit() + scroll_vertical = starting_scroll + offset + + +#endregion + +#region Signals + + +func _on_project_settings_changed() -> void: + _autoloads = {} + var project = ConfigFile.new() + project.load("res://project.godot") + for autoload in project.get_section_keys("autoload"): + if autoload != "DialogueManager": + _autoloads[autoload] = project.get_value("autoload", autoload).substr(1) + + +func _on_code_edit_symbol_validate(symbol: String) -> void: + if symbol.begins_with("res://") and symbol.ends_with(".dialogue"): + set_symbol_lookup_word_as_valid(true) + return + + for title in get_titles(): + if symbol == title: + set_symbol_lookup_word_as_valid(true) + return + set_symbol_lookup_word_as_valid(false) + + +func _on_code_edit_symbol_lookup(symbol: String, line: int, column: int) -> void: + if symbol.begins_with("res://") and symbol.ends_with(".dialogue"): + external_file_requested.emit(symbol, "") + else: + go_to_title(symbol) + + +func _on_code_edit_text_changed() -> void: + request_code_completion(true) + + +func _on_code_edit_text_set() -> void: + queue_redraw() + + +func _on_code_edit_caret_changed() -> void: + check_active_title() + last_selected_text = get_selected_text() + + +func _on_code_edit_gutter_clicked(line: int, gutter: int) -> void: + var line_errors = errors.filter(func(error): return error.line_number == line) + if line_errors.size() > 0: + error_clicked.emit(line) + + +#endregion diff --git a/addons/dialogue_manager/components/code_edit.gd.uid b/addons/dialogue_manager/components/code_edit.gd.uid new file mode 100644 index 0000000..ab2b9e5 --- /dev/null +++ b/addons/dialogue_manager/components/code_edit.gd.uid @@ -0,0 +1 @@ +uid://djeybvlb332mp diff --git a/addons/dialogue_manager/components/code_edit.tscn b/addons/dialogue_manager/components/code_edit.tscn new file mode 100644 index 0000000..0c25707 --- /dev/null +++ b/addons/dialogue_manager/components/code_edit.tscn @@ -0,0 +1,56 @@ +[gd_scene load_steps=4 format=3 uid="uid://civ6shmka5e8u"] + +[ext_resource type="Script" uid="uid://klpiq4tk3t7a" path="res://addons/dialogue_manager/components/code_edit_syntax_highlighter.gd" id="1_58cfo"] +[ext_resource type="Script" uid="uid://djeybvlb332mp" path="res://addons/dialogue_manager/components/code_edit.gd" id="1_g324i"] + +[sub_resource type="SyntaxHighlighter" id="SyntaxHighlighter_cobxx"] +script = ExtResource("1_58cfo") + +[node name="CodeEdit" type="CodeEdit"] +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +text = "~ title_thing + +if this = \"that\" or 'this' +Nathan: Something +- Then [if test.thing() == 2.0] => somewhere +- Other => END! + +~ somewhere + +set has_something = true +=> END" +highlight_all_occurrences = true +highlight_current_line = true +draw_tabs = true +syntax_highlighter = SubResource("SyntaxHighlighter_cobxx") +scroll_past_end_of_file = true +minimap_draw = true +symbol_lookup_on_click = true +line_folding = true +gutters_draw_line_numbers = true +gutters_draw_fold_gutter = true +delimiter_strings = Array[String](["\" \""]) +delimiter_comments = Array[String](["#"]) +code_completion_enabled = true +code_completion_prefixes = Array[String]([">", "<"]) +indent_automatic = true +auto_brace_completion_enabled = true +auto_brace_completion_highlight_matching = true +auto_brace_completion_pairs = { +"\"": "\"", +"(": ")", +"[": "]", +"{": "}" +} +script = ExtResource("1_g324i") + +[connection signal="caret_changed" from="." to="." method="_on_code_edit_caret_changed"] +[connection signal="gutter_clicked" from="." to="." method="_on_code_edit_gutter_clicked"] +[connection signal="symbol_lookup" from="." to="." method="_on_code_edit_symbol_lookup"] +[connection signal="symbol_validate" from="." to="." method="_on_code_edit_symbol_validate"] +[connection signal="text_changed" from="." to="." method="_on_code_edit_text_changed"] +[connection signal="text_set" from="." to="." method="_on_code_edit_text_set"] diff --git a/addons/dialogue_manager/components/code_edit_syntax_highlighter.gd b/addons/dialogue_manager/components/code_edit_syntax_highlighter.gd new file mode 100644 index 0000000..5c4e097 --- /dev/null +++ b/addons/dialogue_manager/components/code_edit_syntax_highlighter.gd @@ -0,0 +1,237 @@ +@tool +class_name DMSyntaxHighlighter extends SyntaxHighlighter + + +var regex: DMCompilerRegEx = DMCompilerRegEx.new() +var compilation: DMCompilation = DMCompilation.new() +var expression_parser = DMExpressionParser.new() + +var cache: Dictionary = {} + + +func _clear_highlighting_cache() -> void: + cache.clear() + + +func _get_line_syntax_highlighting(line: int) -> Dictionary: + expression_parser.include_comments = true + + var colors: Dictionary = {} + var text_edit: TextEdit = get_text_edit() + var text: String = text_edit.get_line(line) + + # Prevent an error from popping up while developing + if not is_instance_valid(text_edit) or text_edit.theme_overrides.is_empty(): + return colors + + # Disable this, as well as the line at the bottom of this function to remove the cache. + if text in cache: + return cache[text] + + var theme: Dictionary = text_edit.theme_overrides + + var index: int = 0 + + match DMCompiler.get_line_type(text): + DMConstants.TYPE_USING: + colors[index] = { color = theme.conditions_color } + colors[index + "using ".length()] = { color = theme.text_color } + + DMConstants.TYPE_IMPORT: + colors[index] = { color = theme.conditions_color } + var import: RegExMatch = regex.IMPORT_REGEX.search(text) + if import: + colors[index + import.get_start("path") - 1] = { color = theme.strings_color } + colors[index + import.get_end("path") + 1] = { color = theme.conditions_color } + colors[index + import.get_start("prefix")] = { color = theme.text_color } + + DMConstants.TYPE_COMMENT: + colors[index] = { color = theme.comments_color } + + DMConstants.TYPE_TITLE: + colors[index] = { color = theme.titles_color } + + DMConstants.TYPE_CONDITION, DMConstants.TYPE_WHILE, DMConstants.TYPE_MATCH, DMConstants.TYPE_WHEN: + colors[0] = { color = theme.conditions_color } + index = text.find(" ") + if index > -1: + var expression: Array = expression_parser.tokenise(text.substr(index), DMConstants.TYPE_CONDITION, 0) + if expression.size() == 0: + colors[index] = { color = theme.critical_color } + else: + _highlight_expression(expression, colors, index) + + DMConstants.TYPE_MUTATION: + colors[0] = { color = theme.mutations_line_color } + index = text.find(" ") + var expression: Array = expression_parser.tokenise(text.substr(index), DMConstants.TYPE_MUTATION, 0) + if expression.size() == 0: + colors[index] = { color = theme.critical_color } + else: + _highlight_expression(expression, colors, index) + + DMConstants.TYPE_GOTO: + if text.strip_edges().begins_with("%"): + colors[index] = { color = theme.symbols_color } + index = text.find(" ") + _highlight_goto(text, colors, index) + + DMConstants.TYPE_RANDOM: + colors[index] = { color = theme.symbols_color } + + DMConstants.TYPE_DIALOGUE, DMConstants.TYPE_RESPONSE: + if text.strip_edges().begins_with("%"): + colors[index] = { color = theme.symbols_color } + index = text.find(" ", text.find("%")) + colors[index] = { color = theme.text_color.lerp(theme.symbols_color, 0.5) } + + var dialogue_text: String = text.substr(index, text.find("=>")) + + # Highlight character name (but ignore ":" within line ID reference) + var split_index: int = dialogue_text.replace("\\:", "??").find(":") + if text.substr(split_index - 3, 3) != "[ID": + colors[index + split_index + 1] = { color = theme.text_color } + else: + # If there's no character name then just highlight the text as dialogue. + colors[index] = { color = theme.text_color } + + # Interpolation + var replacements: Array[RegExMatch] = regex.REPLACEMENTS_REGEX.search_all(dialogue_text) + for replacement: RegExMatch in replacements: + var expression_text: String = replacement.get_string().substr(0, replacement.get_string().length() - 2).substr(2) + var expression: Array = expression_parser.tokenise(expression_text, DMConstants.TYPE_MUTATION, replacement.get_start()) + var expression_index: int = index + replacement.get_start() + colors[expression_index] = { color = theme.symbols_color } + if expression.size() == 0 or expression[0].type == DMConstants.TYPE_ERROR: + colors[expression_index] = { color = theme.critical_color } + else: + _highlight_expression(expression, colors, index + 2) + colors[expression_index + expression_text.length() + 2] = { color = theme.symbols_color } + colors[expression_index + expression_text.length() + 4] = { color = theme.text_color } + # Tags (and inline mutations) + var resolved_line_data: DMResolvedLineData = DMResolvedLineData.new("") + var bbcodes: Array[Dictionary] = resolved_line_data.find_bbcode_positions_in_string(dialogue_text, true, true) + for bbcode: Dictionary in bbcodes: + var tag: String = bbcode.code + var code: String = bbcode.raw_args + if code.begins_with("["): + colors[index + bbcode.start] = { color = theme.symbols_color } + colors[index + bbcode.start + 2] = { color = theme.text_color } + var pipe_cursor: int = code.find("|") + while pipe_cursor > -1: + colors[index + bbcode.start + pipe_cursor + 1] = { color = theme.symbols_color } + colors[index + bbcode.start + pipe_cursor + 2] = { color = theme.text_color } + pipe_cursor = code.find("|", pipe_cursor + 1) + colors[index + bbcode.end - 1] = { color = theme.symbols_color } + colors[index + bbcode.end + 1] = { color = theme.text_color } + else: + colors[index + bbcode.start] = { color = theme.symbols_color } + if tag.begins_with("$>") or tag.begins_with("do") or tag.begins_with("set") or tag.begins_with("if"): + if tag.begins_with("if"): + colors[index + bbcode.start + 1] = { color = theme.conditions_color } + else: + colors[index + bbcode.start + 1] = { color = theme.mutations_line_color } + var expression: Array = expression_parser.tokenise(code, DMConstants.TYPE_MUTATION, bbcode.start + bbcode.code.length()) + if expression.size() == 0 or expression[0].type == DMConstants.TYPE_ERROR: + colors[index + bbcode.start + tag.length() + 1] = { color = theme.critical_color } + else: + _highlight_expression(expression, colors, index + 2) + # else and closing if have no expression + elif tag.begins_with("else") or tag.begins_with("/if"): + colors[index + bbcode.start + 1] = { color = theme.conditions_color } + colors[index + bbcode.end] = { color = theme.symbols_color } + colors[index + bbcode.end + 1] = { color = theme.text_color } + # Jumps + if "=> " in text or "=>< " in text: + _highlight_goto(text, colors, index) + + # Order the dictionary keys to prevent CodeEdit from having issues + var ordered_colors: Dictionary = {} + var ordered_keys: Array = colors.keys() + ordered_keys.sort() + for key_index: int in ordered_keys: + ordered_colors[key_index] = colors[key_index] + + cache[text] = ordered_colors + return ordered_colors + + +func _highlight_expression(tokens: Array, colors: Dictionary, index: int) -> int: + var theme: Dictionary = get_text_edit().theme_overrides + var last_index: int = index + for token: Dictionary in tokens: + last_index = token.i + match token.type: + DMConstants.TOKEN_COMMENT: + colors[index + token.i] = { color = theme.comments_color } + + DMConstants.TOKEN_CONDITION, DMConstants.TOKEN_AND_OR: + colors[index + token.i] = { color = theme.conditions_color } + + DMConstants.TOKEN_VARIABLE: + if token.value in ["true", "false"]: + colors[index + token.i] = { color = theme.conditions_color } + else: + colors[index + token.i] = { color = theme.members_color } + + DMConstants.TOKEN_OPERATOR, DMConstants.TOKEN_COLON, \ + DMConstants.TOKEN_COMMA, DMConstants.TOKEN_DOT, DMConstants.TOKEN_NULL_COALESCE, \ + DMConstants.TOKEN_ASSIGNMENT, DMConstants.TOKEN_COMPARISON: + if token.get("value", null) == "in": + colors[index + token.i] = { color = theme.conditions_color } + else: + colors[index + token.i] = { color = theme.symbols_color } + + DMConstants.TOKEN_NUMBER: + colors[index + token.i] = { color = theme.numbers_color } + + DMConstants.TOKEN_STRING: + colors[index + token.i] = { color = theme.strings_color } + + DMConstants.TOKEN_FUNCTION: + colors[index + token.i] = { color = theme.mutations_color } + colors[index + token.i + token.function.length()] = { color = theme.symbols_color } + for parameter: Array in token.value: + last_index = _highlight_expression(parameter, colors, index) + DMConstants.TOKEN_PARENS_CLOSE: + colors[index + token.i] = { color = theme.symbols_color } + + DMConstants.TOKEN_DICTIONARY_REFERENCE: + colors[index + token.i] = { color = theme.members_color } + colors[index + token.i + token.variable.length()] = { color = theme.symbols_color } + last_index = _highlight_expression(token.value, colors, index) + DMConstants.TOKEN_ARRAY: + colors[index + token.i] = { color = theme.symbols_color } + for item: Array in token.value: + last_index = _highlight_expression(item, colors, index) + DMConstants.TOKEN_BRACKET_CLOSE: + colors[index + token.i] = { color = theme.symbols_color } + + DMConstants.TOKEN_DICTIONARY: + colors[index + token.i] = { color = theme.symbols_color } + last_index = _highlight_expression(token.value.keys() + token.value.values(), colors, index) + DMConstants.TOKEN_BRACE_CLOSE: + colors[index + token.i] = { color = theme.symbols_color } + last_index += 1 + + DMConstants.TOKEN_GROUP: + last_index = _highlight_expression(token.value, colors, index) + + return last_index + + +func _highlight_goto(text: String, colors: Dictionary, index: int) -> int: + var theme: Dictionary = get_text_edit().theme_overrides + var goto_data: DMResolvedGotoData = DMResolvedGotoData.new(text, {}) + colors[goto_data.index] = { color = theme.jumps_color } + if "{{" in text: + index = text.find("{{", goto_data.index) + var last_index: int = 0 + if goto_data.error: + colors[index + 2] = { color = theme.critical_color } + else: + last_index = _highlight_expression(goto_data.expression, colors, index) + index = text.find("}}", index + last_index) + colors[index] = { color = theme.jumps_color } + + return index diff --git a/addons/dialogue_manager/components/code_edit_syntax_highlighter.gd.uid b/addons/dialogue_manager/components/code_edit_syntax_highlighter.gd.uid new file mode 100644 index 0000000..9bad8cc --- /dev/null +++ b/addons/dialogue_manager/components/code_edit_syntax_highlighter.gd.uid @@ -0,0 +1 @@ +uid://klpiq4tk3t7a diff --git a/addons/dialogue_manager/components/download_update_panel.tscn b/addons/dialogue_manager/components/download_update_panel.tscn new file mode 100644 index 0000000..aae30fe --- /dev/null +++ b/addons/dialogue_manager/components/download_update_panel.tscn @@ -0,0 +1,60 @@ +[gd_scene load_steps=3 format=3 uid="uid://qdxrxv3c3hxk"] + +[ext_resource type="Script" uid="uid://kpwo418lb2t2" path="res://addons/dialogue_manager/components/editor_property/download_update_panel.gd" id="1_4tm1k"] +[ext_resource type="Texture2D" uid="uid://d3baj6rygkb3f" path="res://addons/dialogue_manager/assets/update.svg" id="2_4o2m6"] + +[node name="DownloadUpdatePanel" type="Control"] +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +script = ExtResource("1_4tm1k") + +[node name="HTTPRequest" type="HTTPRequest" parent="."] + +[node name="VBox" type="VBoxContainer" parent="."] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_left = -1.0 +offset_top = 9.0 +offset_right = -1.0 +offset_bottom = 9.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_constants/separation = 10 + +[node name="Logo" type="TextureRect" parent="VBox"] +unique_name_in_owner = true +clip_contents = true +custom_minimum_size = Vector2(300, 80) +layout_mode = 2 +texture = ExtResource("2_4o2m6") +stretch_mode = 5 + +[node name="Label" type="Label" parent="VBox"] +layout_mode = 2 +text = "v1.2.3 is available for download." +horizontal_alignment = 1 + +[node name="Center" type="CenterContainer" parent="VBox"] +layout_mode = 2 + +[node name="DownloadButton" type="Button" parent="VBox/Center"] +unique_name_in_owner = true +layout_mode = 2 +text = "Download update" + +[node name="Center2" type="CenterContainer" parent="VBox"] +layout_mode = 2 + +[node name="NotesButton" type="LinkButton" parent="VBox/Center2"] +layout_mode = 2 +text = "Read release notes" + +[connection signal="request_completed" from="HTTPRequest" to="." method="_on_http_request_request_completed"] +[connection signal="pressed" from="VBox/Center/DownloadButton" to="." method="_on_download_button_pressed"] +[connection signal="pressed" from="VBox/Center2/NotesButton" to="." method="_on_notes_button_pressed"] diff --git a/addons/dialogue_manager/components/editor_property/download_update_panel.gd b/addons/dialogue_manager/components/editor_property/download_update_panel.gd new file mode 100644 index 0000000..e67a93f --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/download_update_panel.gd @@ -0,0 +1,84 @@ +@tool +extends Control + + +signal failed() +signal updated(updated_to_version: String) + + +const DialogueConstants = preload("../constants.gd") + +const TEMP_FILE_NAME = "user://temp.zip" + + +@onready var logo: TextureRect = %Logo +@onready var label: Label = $VBox/Label +@onready var http_request: HTTPRequest = $HTTPRequest +@onready var download_button: Button = %DownloadButton + +var next_version_release: Dictionary: + set(value): + next_version_release = value + label.text = DialogueConstants.translate(&"update.is_available_for_download") % value.tag_name.substr(1) + get: + return next_version_release + + +func _ready() -> void: + $VBox/Center/DownloadButton.text = DialogueConstants.translate(&"update.download_update") + $VBox/Center2/NotesButton.text = DialogueConstants.translate(&"update.release_notes") + + +### Signals + + +func _on_download_button_pressed() -> void: + # Safeguard the actual dialogue manager repo from accidentally updating itself + if FileAccess.file_exists("res://tests/test_basic_dialogue.gd"): + prints("You can't update the addon from within itself.") + failed.emit() + return + + http_request.request(next_version_release.zipball_url) + download_button.disabled = true + download_button.text = DialogueConstants.translate(&"update.downloading") + + +func _on_http_request_request_completed(result: int, response_code: int, headers: PackedStringArray, body: PackedByteArray) -> void: + if result != HTTPRequest.RESULT_SUCCESS: + failed.emit() + return + + # Save the downloaded zip + var zip_file: FileAccess = FileAccess.open(TEMP_FILE_NAME, FileAccess.WRITE) + zip_file.store_buffer(body) + zip_file.close() + + OS.move_to_trash(ProjectSettings.globalize_path("res://addons/dialogue_manager")) + + var zip_reader: ZIPReader = ZIPReader.new() + zip_reader.open(TEMP_FILE_NAME) + var files: PackedStringArray = zip_reader.get_files() + + var base_path = files[1] + # Remove archive folder + files.remove_at(0) + # Remove assets folder + files.remove_at(0) + + for path in files: + var new_file_path: String = path.replace(base_path, "") + if path.ends_with("/"): + DirAccess.make_dir_recursive_absolute("res://addons/%s" % new_file_path) + else: + var file: FileAccess = FileAccess.open("res://addons/%s" % new_file_path, FileAccess.WRITE) + file.store_buffer(zip_reader.read_file(path)) + + zip_reader.close() + DirAccess.remove_absolute(TEMP_FILE_NAME) + + updated.emit(next_version_release.tag_name.substr(1)) + + +func _on_notes_button_pressed() -> void: + OS.shell_open(next_version_release.html_url) diff --git a/addons/dialogue_manager/components/editor_property/download_update_panel.gd.uid b/addons/dialogue_manager/components/editor_property/download_update_panel.gd.uid new file mode 100644 index 0000000..7910ab4 --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/download_update_panel.gd.uid @@ -0,0 +1 @@ +uid://kpwo418lb2t2 diff --git a/addons/dialogue_manager/components/editor_property/editor_property.gd b/addons/dialogue_manager/components/editor_property/editor_property.gd new file mode 100644 index 0000000..5deef65 --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/editor_property.gd @@ -0,0 +1,48 @@ +@tool +extends EditorProperty + + +const DialoguePropertyEditorControl = preload("./editor_property_control.tscn") + + +var editor_plugin: EditorPlugin + +var control = DialoguePropertyEditorControl.instantiate() +var current_value: Resource +var is_updating: bool = false + + +func _init() -> void: + add_child(control) + + control.resource = current_value + + control.pressed.connect(_on_button_pressed) + control.resource_changed.connect(_on_resource_changed) + + +func _update_property() -> void: + var next_value = get_edited_object()[get_edited_property()] + + # The resource might have been deleted elsewhere so check that it's not in a weird state + if is_instance_valid(next_value) and not next_value.resource_path.ends_with(".dialogue"): + emit_changed(get_edited_property(), null) + return + + if next_value == current_value: return + + is_updating = true + current_value = next_value + control.resource = current_value + is_updating = false + + +### Signals + + +func _on_button_pressed() -> void: + editor_plugin.edit(current_value) + + +func _on_resource_changed(next_resource: Resource) -> void: + emit_changed(get_edited_property(), next_resource) diff --git a/addons/dialogue_manager/components/editor_property/editor_property.gd.uid b/addons/dialogue_manager/components/editor_property/editor_property.gd.uid new file mode 100644 index 0000000..283cc43 --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/editor_property.gd.uid @@ -0,0 +1 @@ +uid://nyypeje1a036 diff --git a/addons/dialogue_manager/components/editor_property/editor_property_control.gd b/addons/dialogue_manager/components/editor_property/editor_property_control.gd new file mode 100644 index 0000000..d063d0e --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/editor_property_control.gd @@ -0,0 +1,147 @@ +@tool +extends HBoxContainer + + +signal pressed() +signal resource_changed(next_resource: Resource) + + +const ITEM_NEW = 100 +const ITEM_QUICK_LOAD = 200 +const ITEM_LOAD = 201 +const ITEM_EDIT = 300 +const ITEM_CLEAR = 301 +const ITEM_FILESYSTEM = 400 + + +@onready var button: Button = $ResourceButton +@onready var menu_button: Button = $MenuButton +@onready var menu: PopupMenu = $Menu +@onready var quick_open_dialog: ConfirmationDialog = $QuickOpenDialog +@onready var files_list = $QuickOpenDialog/FilesList +@onready var new_dialog: FileDialog = $NewDialog +@onready var open_dialog: FileDialog = $OpenDialog + +var editor_plugin: EditorPlugin + +var resource: Resource: + set(next_resource): + resource = next_resource + if button: + button.resource = resource + get: + return resource + +var is_waiting_for_file: bool = false +var quick_selected_file: String = "" + + +func _ready() -> void: + menu_button.icon = get_theme_icon("GuiDropdown", "EditorIcons") + editor_plugin = Engine.get_meta("DialogueManagerPlugin") + + +func build_menu() -> void: + menu.clear() + + menu.add_icon_item(editor_plugin._get_plugin_icon(), "New Dialogue", ITEM_NEW) + menu.add_separator() + menu.add_icon_item(get_theme_icon("Load", "EditorIcons"), "Quick Load", ITEM_QUICK_LOAD) + menu.add_icon_item(get_theme_icon("Load", "EditorIcons"), "Load", ITEM_LOAD) + if resource: + menu.add_icon_item(get_theme_icon("Edit", "EditorIcons"), "Edit", ITEM_EDIT) + menu.add_icon_item(get_theme_icon("Clear", "EditorIcons"), "Clear", ITEM_CLEAR) + menu.add_separator() + menu.add_item("Show in FileSystem", ITEM_FILESYSTEM) + + menu.size = Vector2.ZERO + + +### Signals + + +func _on_new_dialog_file_selected(path: String) -> void: + editor_plugin.main_view.new_file(path) + is_waiting_for_file = false + if Engine.get_meta("DMCache").has_file(path): + resource_changed.emit(load(path)) + else: + var next_resource: Resource = await editor_plugin.import_plugin.compiled_resource + next_resource.resource_path = path + resource_changed.emit(next_resource) + + +func _on_open_dialog_file_selected(file: String) -> void: + resource_changed.emit(load(file)) + + +func _on_file_dialog_canceled() -> void: + is_waiting_for_file = false + + +func _on_resource_button_pressed() -> void: + if is_instance_valid(resource): + EditorInterface.call_deferred("edit_resource", resource) + else: + build_menu() + menu.position = get_viewport().position + Vector2i( + button.global_position.x + button.size.x - menu.size.x, + 2 + menu_button.global_position.y + button.size.y + ) + menu.popup() + + +func _on_resource_button_resource_dropped(next_resource: Resource) -> void: + resource_changed.emit(next_resource) + + +func _on_menu_button_pressed() -> void: + build_menu() + menu.position = get_viewport().position + Vector2i( + menu_button.global_position.x + menu_button.size.x - menu.size.x, + 2 + menu_button.global_position.y + menu_button.size.y + ) + menu.popup() + + +func _on_menu_id_pressed(id: int) -> void: + match id: + ITEM_NEW: + is_waiting_for_file = true + new_dialog.popup_centered() + + ITEM_QUICK_LOAD: + quick_selected_file = "" + files_list.files = Engine.get_meta("DMCache").get_files() + if resource: + files_list.select_file(resource.resource_path) + quick_open_dialog.popup_centered() + files_list.focus_filter() + + ITEM_LOAD: + is_waiting_for_file = true + open_dialog.popup_centered() + + ITEM_EDIT: + EditorInterface.call_deferred("edit_resource", resource) + + ITEM_CLEAR: + resource_changed.emit(null) + + ITEM_FILESYSTEM: + var file_system = EditorInterface.get_file_system_dock() + file_system.navigate_to_path(resource.resource_path) + + +func _on_files_list_file_double_clicked(file_path: String) -> void: + resource_changed.emit(load(file_path)) + quick_open_dialog.hide() + + +func _on_files_list_file_selected(file_path: String) -> void: + quick_selected_file = file_path + + +func _on_quick_open_dialog_confirmed() -> void: + if quick_selected_file != "": + resource_changed.emit(load(quick_selected_file)) diff --git a/addons/dialogue_manager/components/editor_property/editor_property_control.gd.uid b/addons/dialogue_manager/components/editor_property/editor_property_control.gd.uid new file mode 100644 index 0000000..aab7d8d --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/editor_property_control.gd.uid @@ -0,0 +1 @@ +uid://dooe2pflnqtve diff --git a/addons/dialogue_manager/components/editor_property/editor_property_control.tscn b/addons/dialogue_manager/components/editor_property/editor_property_control.tscn new file mode 100644 index 0000000..7cb02e8 --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/editor_property_control.tscn @@ -0,0 +1,58 @@ +[gd_scene load_steps=4 format=3 uid="uid://ycn6uaj7dsrh"] + +[ext_resource type="Script" uid="uid://dooe2pflnqtve" path="res://addons/dialogue_manager/components/editor_property/editor_property_control.gd" id="1_het12"] +[ext_resource type="PackedScene" uid="uid://b16uuqjuof3n5" path="res://addons/dialogue_manager/components/editor_property/resource_button.tscn" id="2_hh3d4"] +[ext_resource type="PackedScene" uid="uid://dnufpcdrreva3" path="res://addons/dialogue_manager/components/files_list.tscn" id="3_l8fp6"] + +[node name="PropertyEditorButton" type="HBoxContainer"] +offset_right = 40.0 +offset_bottom = 40.0 +size_flags_horizontal = 3 +theme_override_constants/separation = 0 +script = ExtResource("1_het12") + +[node name="ResourceButton" parent="." instance=ExtResource("2_hh3d4")] +layout_mode = 2 +text = "" +text_overrun_behavior = 3 +clip_text = true + +[node name="MenuButton" type="Button" parent="."] +layout_mode = 2 + +[node name="Menu" type="PopupMenu" parent="."] + +[node name="QuickOpenDialog" type="ConfirmationDialog" parent="."] +title = "Find Dialogue Resource" +size = Vector2i(400, 600) +min_size = Vector2i(400, 600) +ok_button_text = "Open" + +[node name="FilesList" parent="QuickOpenDialog" instance=ExtResource("3_l8fp6")] + +[node name="NewDialog" type="FileDialog" parent="."] +size = Vector2i(900, 750) +min_size = Vector2i(900, 750) +dialog_hide_on_ok = true +filters = PackedStringArray("*.dialogue ; Dialogue") + +[node name="OpenDialog" type="FileDialog" parent="."] +title = "Open a File" +size = Vector2i(900, 750) +min_size = Vector2i(900, 750) +ok_button_text = "Open" +dialog_hide_on_ok = true +file_mode = 0 +filters = PackedStringArray("*.dialogue ; Dialogue") + +[connection signal="pressed" from="ResourceButton" to="." method="_on_resource_button_pressed"] +[connection signal="resource_dropped" from="ResourceButton" to="." method="_on_resource_button_resource_dropped"] +[connection signal="pressed" from="MenuButton" to="." method="_on_menu_button_pressed"] +[connection signal="id_pressed" from="Menu" to="." method="_on_menu_id_pressed"] +[connection signal="confirmed" from="QuickOpenDialog" to="." method="_on_quick_open_dialog_confirmed"] +[connection signal="file_double_clicked" from="QuickOpenDialog/FilesList" to="." method="_on_files_list_file_double_clicked"] +[connection signal="file_selected" from="QuickOpenDialog/FilesList" to="." method="_on_files_list_file_selected"] +[connection signal="canceled" from="NewDialog" to="." method="_on_file_dialog_canceled"] +[connection signal="file_selected" from="NewDialog" to="." method="_on_new_dialog_file_selected"] +[connection signal="canceled" from="OpenDialog" to="." method="_on_file_dialog_canceled"] +[connection signal="file_selected" from="OpenDialog" to="." method="_on_open_dialog_file_selected"] diff --git a/addons/dialogue_manager/components/editor_property/resource_button.gd b/addons/dialogue_manager/components/editor_property/resource_button.gd new file mode 100644 index 0000000..5ba33dc --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/resource_button.gd @@ -0,0 +1,48 @@ +@tool +extends Button + + +signal resource_dropped(next_resource: Resource) + + +var resource: Resource: + set(next_resource): + resource = next_resource + if resource: + icon = Engine.get_meta("DialogueManagerPlugin")._get_plugin_icon() + text = resource.resource_path.get_file().replace(".dialogue", "") + else: + icon = null + text = "" + get: + return resource + + +func _notification(what: int) -> void: + match what: + NOTIFICATION_DRAG_BEGIN: + var data = get_viewport().gui_get_drag_data() + if typeof(data) == TYPE_DICTIONARY and data.type == "files" and data.files.size() > 0 and data.files[0].ends_with(".dialogue"): + add_theme_stylebox_override("normal", get_theme_stylebox("focus", "LineEdit")) + add_theme_stylebox_override("hover", get_theme_stylebox("focus", "LineEdit")) + + NOTIFICATION_DRAG_END: + self.resource = resource + remove_theme_stylebox_override("normal") + remove_theme_stylebox_override("hover") + + +func _can_drop_data(at_position: Vector2, data) -> bool: + if typeof(data) != TYPE_DICTIONARY: return false + if data.type != "files": return false + + var files: PackedStringArray = Array(data.files).filter(func(f): return f.get_extension() == "dialogue") + return files.size() > 0 + + +func _drop_data(at_position: Vector2, data) -> void: + var files: PackedStringArray = Array(data.files).filter(func(f): return f.get_extension() == "dialogue") + + if files.size() == 0: return + + resource_dropped.emit(load(files[0])) diff --git a/addons/dialogue_manager/components/editor_property/resource_button.gd.uid b/addons/dialogue_manager/components/editor_property/resource_button.gd.uid new file mode 100644 index 0000000..b1b9d26 --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/resource_button.gd.uid @@ -0,0 +1 @@ +uid://damhqta55t67c diff --git a/addons/dialogue_manager/components/editor_property/resource_button.tscn b/addons/dialogue_manager/components/editor_property/resource_button.tscn new file mode 100644 index 0000000..691e527 --- /dev/null +++ b/addons/dialogue_manager/components/editor_property/resource_button.tscn @@ -0,0 +1,9 @@ +[gd_scene load_steps=2 format=3 uid="uid://b16uuqjuof3n5"] + +[ext_resource type="Script" uid="uid://damhqta55t67c" path="res://addons/dialogue_manager/components/editor_property/resource_button.gd" id="1_7u2i7"] + +[node name="ResourceButton" type="Button"] +offset_right = 8.0 +offset_bottom = 8.0 +size_flags_horizontal = 3 +script = ExtResource("1_7u2i7") diff --git a/addons/dialogue_manager/components/errors_panel.gd b/addons/dialogue_manager/components/errors_panel.gd new file mode 100644 index 0000000..0b72d37 --- /dev/null +++ b/addons/dialogue_manager/components/errors_panel.gd @@ -0,0 +1,85 @@ +@tool +extends HBoxContainer + + +signal error_pressed(line_number) + + +const DialogueConstants = preload("../constants.gd") + + +@onready var error_button: Button = $ErrorButton +@onready var next_button: Button = $NextButton +@onready var count_label: Label = $CountLabel +@onready var previous_button: Button = $PreviousButton + +## The index of the current error being shown +var error_index: int = 0: + set(next_error_index): + error_index = wrap(next_error_index, 0, errors.size()) + show_error() + get: + return error_index + +## The list of all errors +var errors: Array = []: + set(next_errors): + errors = next_errors + self.error_index = 0 + get: + return errors + + +func _ready() -> void: + apply_theme() + hide() + + +## Set up colors and icons +func apply_theme() -> void: + error_button.add_theme_color_override("font_color", get_theme_color("error_color", "Editor")) + error_button.add_theme_color_override("font_hover_color", get_theme_color("error_color", "Editor")) + error_button.icon = get_theme_icon("StatusError", "EditorIcons") + previous_button.icon = get_theme_icon("ArrowLeft", "EditorIcons") + next_button.icon = get_theme_icon("ArrowRight", "EditorIcons") + + +## Move the error index to match a given line +func show_error_for_line_number(line_number: int) -> void: + for i in range(0, errors.size()): + if errors[i].line_number == line_number: + self.error_index = i + + +## Show the current error +func show_error() -> void: + if errors.size() == 0: + hide() + else: + show() + count_label.text = DialogueConstants.translate(&"n_of_n").format({ index = error_index + 1, total = errors.size() }) + var error = errors[error_index] + error_button.text = DialogueConstants.translate(&"errors.line_and_message").format({ line = error.line_number, column = error.column_number, message = DialogueConstants.get_error_message(error.error) }) + if error.has("external_error"): + error_button.text += " " + DialogueConstants.get_error_message(error.external_error) + + +### Signals + + +func _on_errors_panel_theme_changed() -> void: + apply_theme() + + +func _on_error_button_pressed() -> void: + error_pressed.emit(errors[error_index].line_number, errors[error_index].column_number) + + +func _on_previous_button_pressed() -> void: + self.error_index -= 1 + _on_error_button_pressed() + + +func _on_next_button_pressed() -> void: + self.error_index += 1 + _on_error_button_pressed() diff --git a/addons/dialogue_manager/components/errors_panel.gd.uid b/addons/dialogue_manager/components/errors_panel.gd.uid new file mode 100644 index 0000000..c305a80 --- /dev/null +++ b/addons/dialogue_manager/components/errors_panel.gd.uid @@ -0,0 +1 @@ +uid://d2l8nlb6hhrfp diff --git a/addons/dialogue_manager/components/errors_panel.tscn b/addons/dialogue_manager/components/errors_panel.tscn new file mode 100644 index 0000000..0b653cc --- /dev/null +++ b/addons/dialogue_manager/components/errors_panel.tscn @@ -0,0 +1,56 @@ +[gd_scene load_steps=4 format=3 uid="uid://cs8pwrxr5vxix"] + +[ext_resource type="Script" uid="uid://d2l8nlb6hhrfp" path="res://addons/dialogue_manager/components/errors_panel.gd" id="1_nfm3c"] + +[sub_resource type="Image" id="Image_w0gko"] +data = { +"data": PackedByteArray(255, 255, 255, 0, 255, 255, 255, 0, 255, 128, 128, 4, 255, 128, 128, 4, 255, 128, 128, 4, 255, 128, 128, 4, 255, 128, 128, 4, 255, 128, 128, 4, 255, 128, 128, 4, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 93, 93, 255, 255, 93, 93, 255, 255, 93, 93, 255, 255, 93, 93, 255, 255, 93, 93, 255, 255, 93, 93, 255, 255, 93, 93, 255, 255, 255, 255, 0, 255, 93, 93, 131, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 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0, 255, 255, 255, 0, 255, 255, 255, 0, 255, 255, 255, 0), +"format": "RGBA8", +"height": 16, +"mipmaps": false, +"width": 16 +} + +[sub_resource type="ImageTexture" id="ImageTexture_s6fxl"] +image = SubResource("Image_w0gko") + +[node name="ErrorsPanel" type="HBoxContainer"] +visible = false +offset_right = 1024.0 +offset_bottom = 600.0 +grow_horizontal = 2 +grow_vertical = 2 +script = ExtResource("1_nfm3c") +metadata/_edit_layout_mode = 1 + +[node name="ErrorButton" type="Button" parent="."] +layout_mode = 2 +size_flags_horizontal = 3 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_colors/font_hover_color = Color(0, 0, 0, 1) +theme_override_constants/h_separation = 3 +icon = SubResource("ImageTexture_s6fxl") +flat = true +alignment = 0 +text_overrun_behavior = 4 + +[node name="Spacer" type="Control" parent="."] +custom_minimum_size = Vector2(40, 0) +layout_mode = 2 + +[node name="PreviousButton" type="Button" parent="."] +layout_mode = 2 +icon = SubResource("ImageTexture_s6fxl") +flat = true + +[node name="CountLabel" type="Label" parent="."] +layout_mode = 2 + +[node name="NextButton" type="Button" parent="."] +layout_mode = 2 +icon = SubResource("ImageTexture_s6fxl") +flat = true + +[connection signal="pressed" from="ErrorButton" to="." method="_on_error_button_pressed"] +[connection signal="pressed" from="PreviousButton" to="." method="_on_previous_button_pressed"] +[connection signal="pressed" from="NextButton" to="." method="_on_next_button_pressed"] diff --git a/addons/dialogue_manager/components/files_list.gd b/addons/dialogue_manager/components/files_list.gd new file mode 100644 index 0000000..31f6158 --- /dev/null +++ b/addons/dialogue_manager/components/files_list.gd @@ -0,0 +1,150 @@ +@tool +extends VBoxContainer + + +signal file_selected(file_path: String) +signal file_popup_menu_requested(at_position: Vector2) +signal file_double_clicked(file_path: String) +signal file_middle_clicked(file_path: String) + + +const DialogueConstants = preload("../constants.gd") + +const MODIFIED_SUFFIX = "(*)" + + +@export var icon: Texture2D + +@onready var filter_edit: LineEdit = $FilterEdit +@onready var list: ItemList = $List + +var file_map: Dictionary = {} + +var current_file_path: String = "" +var last_selected_file_path: String = "" + +var files: PackedStringArray = []: + set(next_files): + files = next_files + files.sort() + update_file_map() + apply_filter() + get: + return files + +var unsaved_files: Array[String] = [] + +var filter: String = "": + set(next_filter): + filter = next_filter + apply_filter() + get: + return filter + + +func _ready() -> void: + apply_theme() + + filter_edit.placeholder_text = DialogueConstants.translate(&"files_list.filter") + + +func focus_filter() -> void: + filter_edit.grab_focus() + + +func select_file(file: String) -> void: + list.deselect_all() + for i in range(0, list.get_item_count()): + var item_text = list.get_item_text(i).replace(MODIFIED_SUFFIX, "") + if item_text == get_nice_file(file, item_text.count("/") + 1): + list.select(i) + last_selected_file_path = file + + +func mark_file_as_unsaved(file: String, is_unsaved: bool) -> void: + if not file in unsaved_files and is_unsaved: + unsaved_files.append(file) + elif file in unsaved_files and not is_unsaved: + unsaved_files.erase(file) + apply_filter() + + +func update_file_map() -> void: + file_map = {} + for file in files: + var nice_file: String = get_nice_file(file) + + # See if a value with just the file name is already in the map + for key in file_map.keys(): + if file_map[key] == nice_file: + var bit_count = nice_file.count("/") + 2 + + var existing_nice_file = get_nice_file(key, bit_count) + nice_file = get_nice_file(file, bit_count) + + while nice_file == existing_nice_file: + bit_count += 1 + existing_nice_file = get_nice_file(key, bit_count) + nice_file = get_nice_file(file, bit_count) + + file_map[key] = existing_nice_file + + file_map[file] = nice_file + + +func get_nice_file(file_path: String, path_bit_count: int = 1) -> String: + var bits = file_path.replace("res://", "").replace(".dialogue", "").split("/") + bits = bits.slice(-path_bit_count) + return "/".join(bits) + + +func apply_filter() -> void: + list.clear() + for file in file_map.keys(): + if filter == "" or filter.to_lower() in file.to_lower(): + var nice_file = file_map[file] + if file in unsaved_files: + nice_file += MODIFIED_SUFFIX + var new_id := list.add_item(nice_file) + list.set_item_icon(new_id, icon) + + select_file(current_file_path) + + +func apply_theme() -> void: + if is_instance_valid(filter_edit): + filter_edit.right_icon = get_theme_icon("Search", "EditorIcons") + if is_instance_valid(list): + list.add_theme_stylebox_override("panel", get_theme_stylebox("panel", "Panel")) + + +### Signals + + +func _on_theme_changed() -> void: + apply_theme() + + +func _on_filter_edit_text_changed(new_text: String) -> void: + self.filter = new_text + + +func _on_list_item_clicked(index: int, at_position: Vector2, mouse_button_index: int) -> void: + var item_text = list.get_item_text(index).replace(MODIFIED_SUFFIX, "") + var file = file_map.find_key(item_text) + + if mouse_button_index == MOUSE_BUTTON_LEFT or mouse_button_index == MOUSE_BUTTON_RIGHT: + select_file(file) + file_selected.emit(file) + if mouse_button_index == MOUSE_BUTTON_RIGHT: + file_popup_menu_requested.emit(at_position) + + if mouse_button_index == MOUSE_BUTTON_MIDDLE: + file_middle_clicked.emit(file) + + +func _on_list_item_activated(index: int) -> void: + var item_text = list.get_item_text(index).replace(MODIFIED_SUFFIX, "") + var file = file_map.find_key(item_text) + select_file(file) + file_double_clicked.emit(file) diff --git a/addons/dialogue_manager/components/files_list.gd.uid b/addons/dialogue_manager/components/files_list.gd.uid new file mode 100644 index 0000000..2a1089a --- /dev/null +++ b/addons/dialogue_manager/components/files_list.gd.uid @@ -0,0 +1 @@ +uid://dqa4a4wwoo0aa diff --git a/addons/dialogue_manager/components/files_list.tscn b/addons/dialogue_manager/components/files_list.tscn new file mode 100644 index 0000000..c9e862b --- /dev/null +++ b/addons/dialogue_manager/components/files_list.tscn @@ -0,0 +1,29 @@ +[gd_scene load_steps=3 format=3 uid="uid://dnufpcdrreva3"] + +[ext_resource type="Script" uid="uid://dqa4a4wwoo0aa" path="res://addons/dialogue_manager/components/files_list.gd" id="1_cytii"] +[ext_resource type="Texture2D" uid="uid://d3lr2uas6ax8v" path="res://addons/dialogue_manager/assets/icon.svg" id="2_3ijx1"] + +[node name="FilesList" type="VBoxContainer"] +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_vertical = 3 +script = ExtResource("1_cytii") +icon = ExtResource("2_3ijx1") + +[node name="FilterEdit" type="LineEdit" parent="."] +layout_mode = 2 +placeholder_text = "Filter files" +clear_button_enabled = true + +[node name="List" type="ItemList" parent="."] +layout_mode = 2 +size_flags_vertical = 3 +allow_rmb_select = true + +[connection signal="theme_changed" from="." to="." method="_on_theme_changed"] +[connection signal="text_changed" from="FilterEdit" to="." method="_on_filter_edit_text_changed"] +[connection signal="item_activated" from="List" to="." method="_on_list_item_activated"] +[connection signal="item_clicked" from="List" to="." method="_on_list_item_clicked"] diff --git a/addons/dialogue_manager/components/search_and_replace.gd b/addons/dialogue_manager/components/search_and_replace.gd new file mode 100644 index 0000000..ceb4028 --- /dev/null +++ b/addons/dialogue_manager/components/search_and_replace.gd @@ -0,0 +1,218 @@ +@tool +extends VBoxContainer + + +signal open_requested() +signal close_requested() + + +const DialogueConstants = preload("../constants.gd") + + +@onready var input: LineEdit = $Search/Input +@onready var result_label: Label = $Search/ResultLabel +@onready var previous_button: Button = $Search/PreviousButton +@onready var next_button: Button = $Search/NextButton +@onready var match_case_button: CheckBox = $Search/MatchCaseCheckBox +@onready var replace_check_button: CheckButton = $Search/ReplaceCheckButton +@onready var replace_panel: HBoxContainer = $Replace +@onready var replace_input: LineEdit = $Replace/Input +@onready var replace_button: Button = $Replace/ReplaceButton +@onready var replace_all_button: Button = $Replace/ReplaceAllButton + +# The code edit we will be affecting (for some reason exporting this didn't work) +var code_edit: CodeEdit: + set(next_code_edit): + code_edit = next_code_edit + code_edit.gui_input.connect(_on_text_edit_gui_input) + code_edit.text_changed.connect(_on_text_edit_text_changed) + get: + return code_edit + +var results: Array = [] +var result_index: int = -1: + set(next_result_index): + result_index = next_result_index + if results.size() > 0: + var r = results[result_index] + code_edit.set_caret_line(r[0]) + code_edit.select(r[0], r[1], r[0], r[1] + r[2]) + else: + result_index = -1 + if is_instance_valid(code_edit): + code_edit.deselect() + + result_label.text = DialogueConstants.translate(&"n_of_n").format({ index = result_index + 1, total = results.size() }) + get: + return result_index + + +func _ready() -> void: + apply_theme() + + input.placeholder_text = DialogueConstants.translate(&"search.placeholder") + previous_button.tooltip_text = DialogueConstants.translate(&"search.previous") + next_button.tooltip_text = DialogueConstants.translate(&"search.next") + match_case_button.text = DialogueConstants.translate(&"search.match_case") + $Search/ReplaceCheckButton.text = DialogueConstants.translate(&"search.toggle_replace") + replace_button.text = DialogueConstants.translate(&"search.replace") + replace_all_button.text = DialogueConstants.translate(&"search.replace_all") + $Replace/ReplaceLabel.text = DialogueConstants.translate(&"search.replace_with") + + self.result_index = -1 + + replace_panel.hide() + replace_button.disabled = true + replace_all_button.disabled = true + + hide() + + +func focus_line_edit() -> void: + input.grab_focus() + input.select_all() + + +func apply_theme() -> void: + if is_instance_valid(previous_button): + previous_button.icon = get_theme_icon("ArrowLeft", "EditorIcons") + if is_instance_valid(next_button): + next_button.icon = get_theme_icon("ArrowRight", "EditorIcons") + + +# Find text in the code +func search(text: String = "", default_result_index: int = 0) -> void: + results.clear() + + if text == "": + text = input.text + + var lines = code_edit.text.split("\n") + for line_number in range(0, lines.size()): + var line = lines[line_number] + + var column = find_in_line(line, text, 0) + while column > -1: + results.append([line_number, column, text.length()]) + column = find_in_line(line, text, column + 1) + + if results.size() > 0: + replace_button.disabled = false + replace_all_button.disabled = false + else: + replace_button.disabled = true + replace_all_button.disabled = true + + self.result_index = clamp(default_result_index, 0, results.size() - 1) + + +# Find text in a string and match case if requested +func find_in_line(line: String, text: String, from_index: int = 0) -> int: + if match_case_button.button_pressed: + return line.find(text, from_index) + else: + return line.findn(text, from_index) + + +#region Signals + + +func _on_text_edit_gui_input(event: InputEvent) -> void: + if event is InputEventKey and event.is_pressed(): + match event.as_text(): + "Ctrl+F", "Command+F": + open_requested.emit() + get_viewport().set_input_as_handled() + "Ctrl+Shift+R", "Command+Shift+R": + replace_check_button.set_pressed(true) + open_requested.emit() + get_viewport().set_input_as_handled() + + +func _on_text_edit_text_changed() -> void: + results.clear() + + +func _on_search_and_replace_theme_changed() -> void: + apply_theme() + + +func _on_input_text_changed(new_text: String) -> void: + search(new_text) + + +func _on_previous_button_pressed() -> void: + self.result_index = wrapi(result_index - 1, 0, results.size()) + + +func _on_next_button_pressed() -> void: + self.result_index = wrapi(result_index + 1, 0, results.size()) + + +func _on_search_and_replace_visibility_changed() -> void: + if is_instance_valid(input): + if visible: + input.grab_focus() + var selection = code_edit.get_selected_text() + if input.text == "" and selection != "": + input.text = selection + search(selection) + else: + search() + else: + input.text = "" + + +func _on_input_gui_input(event: InputEvent) -> void: + if event is InputEventKey and event.is_pressed(): + match event.as_text(): + "Enter": + search(input.text) + "Escape": + emit_signal("close_requested") + + +func _on_replace_button_pressed() -> void: + if result_index == -1: return + + # Replace the selection at result index + var r: Array = results[result_index] + code_edit.begin_complex_operation() + var lines: PackedStringArray = code_edit.text.split("\n") + var line: String = lines[r[0]] + line = line.substr(0, r[1]) + replace_input.text + line.substr(r[1] + r[2]) + lines[r[0]] = line + code_edit.text = "\n".join(lines) + code_edit.end_complex_operation() + code_edit.text_changed.emit() + + search(input.text, result_index) + + +func _on_replace_all_button_pressed() -> void: + if match_case_button.button_pressed: + code_edit.text = code_edit.text.replace(input.text, replace_input.text) + else: + code_edit.text = code_edit.text.replacen(input.text, replace_input.text) + search() + code_edit.text_changed.emit() + + +func _on_replace_check_button_toggled(button_pressed: bool) -> void: + replace_panel.visible = button_pressed + if button_pressed: + replace_input.grab_focus() + + +func _on_input_focus_entered() -> void: + if results.size() == 0: + search() + else: + self.result_index = result_index + + +func _on_match_case_check_box_toggled(button_pressed: bool) -> void: + search() + + +#endregion diff --git a/addons/dialogue_manager/components/search_and_replace.gd.uid b/addons/dialogue_manager/components/search_and_replace.gd.uid new file mode 100644 index 0000000..66ec826 --- /dev/null +++ b/addons/dialogue_manager/components/search_and_replace.gd.uid @@ -0,0 +1 @@ +uid://cijsmjkq21cdq diff --git a/addons/dialogue_manager/components/search_and_replace.tscn b/addons/dialogue_manager/components/search_and_replace.tscn new file mode 100644 index 0000000..52721c4 --- /dev/null +++ b/addons/dialogue_manager/components/search_and_replace.tscn @@ -0,0 +1,87 @@ +[gd_scene load_steps=2 format=3 uid="uid://gr8nakpbrhby"] + +[ext_resource type="Script" uid="uid://cijsmjkq21cdq" path="res://addons/dialogue_manager/components/search_and_replace.gd" id="1_8oj1f"] + +[node name="SearchAndReplace" type="VBoxContainer"] +visible = false +anchors_preset = 10 +anchor_right = 1.0 +offset_bottom = 31.0 +grow_horizontal = 2 +size_flags_horizontal = 3 +script = ExtResource("1_8oj1f") + +[node name="Search" type="HBoxContainer" parent="."] +layout_mode = 2 + +[node name="Input" type="LineEdit" parent="Search"] +layout_mode = 2 +size_flags_horizontal = 3 +placeholder_text = "Text to search for" +metadata/_edit_use_custom_anchors = true + +[node name="MatchCaseCheckBox" type="CheckBox" parent="Search"] +layout_mode = 2 +text = "Match case" + +[node name="VSeparator" type="VSeparator" parent="Search"] +layout_mode = 2 + +[node name="PreviousButton" type="Button" parent="Search"] +layout_mode = 2 +tooltip_text = "Previous" +flat = true + +[node name="ResultLabel" type="Label" parent="Search"] +layout_mode = 2 +text = "0 of 0" + +[node name="NextButton" type="Button" parent="Search"] +layout_mode = 2 +tooltip_text = "Next" +flat = true + +[node name="VSeparator2" type="VSeparator" parent="Search"] +layout_mode = 2 + +[node name="ReplaceCheckButton" type="CheckButton" parent="Search"] +layout_mode = 2 +text = "Replace" + +[node name="Replace" type="HBoxContainer" parent="."] +visible = false +layout_mode = 2 + +[node name="ReplaceLabel" type="Label" parent="Replace"] +layout_mode = 2 +text = "Replace with:" + +[node name="Input" type="LineEdit" parent="Replace"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="ReplaceButton" type="Button" parent="Replace"] +layout_mode = 2 +disabled = true +text = "Replace" +flat = true + +[node name="ReplaceAllButton" type="Button" parent="Replace"] +layout_mode = 2 +disabled = true +text = "Replace all" +flat = true + +[connection signal="theme_changed" from="." to="." method="_on_search_and_replace_theme_changed"] +[connection signal="visibility_changed" from="." to="." method="_on_search_and_replace_visibility_changed"] +[connection signal="focus_entered" from="Search/Input" to="." method="_on_input_focus_entered"] +[connection signal="gui_input" from="Search/Input" to="." method="_on_input_gui_input"] +[connection signal="text_changed" from="Search/Input" to="." method="_on_input_text_changed"] +[connection signal="toggled" from="Search/MatchCaseCheckBox" to="." method="_on_match_case_check_box_toggled"] +[connection signal="pressed" from="Search/PreviousButton" to="." method="_on_previous_button_pressed"] +[connection signal="pressed" from="Search/NextButton" to="." method="_on_next_button_pressed"] +[connection signal="toggled" from="Search/ReplaceCheckButton" to="." method="_on_replace_check_button_toggled"] +[connection signal="focus_entered" from="Replace/Input" to="." method="_on_input_focus_entered"] +[connection signal="gui_input" from="Replace/Input" to="." method="_on_input_gui_input"] +[connection signal="pressed" from="Replace/ReplaceButton" to="." method="_on_replace_button_pressed"] +[connection signal="pressed" from="Replace/ReplaceAllButton" to="." method="_on_replace_all_button_pressed"] diff --git a/addons/dialogue_manager/components/title_list.gd b/addons/dialogue_manager/components/title_list.gd new file mode 100644 index 0000000..67cdcf0 --- /dev/null +++ b/addons/dialogue_manager/components/title_list.gd @@ -0,0 +1,69 @@ +@tool +extends VBoxContainer + +signal title_selected(title: String) + + +const DialogueConstants = preload("../constants.gd") + + +@onready var filter_edit: LineEdit = $FilterEdit +@onready var list: ItemList = $List + +var titles: PackedStringArray: + set(next_titles): + titles = next_titles + apply_filter() + get: + return titles + +var filter: String: + set(next_filter): + filter = next_filter + apply_filter() + get: + return filter + + +func _ready() -> void: + apply_theme() + + filter_edit.placeholder_text = DialogueConstants.translate(&"titles_list.filter") + + +func select_title(title: String) -> void: + list.deselect_all() + for i in range(0, list.get_item_count()): + if list.get_item_text(i) == title.strip_edges(): + list.select(i) + + +func apply_filter() -> void: + list.clear() + for title in titles: + if filter == "" or filter.to_lower() in title.to_lower(): + list.add_item(title.strip_edges()) + + +func apply_theme() -> void: + if is_instance_valid(filter_edit): + filter_edit.right_icon = get_theme_icon("Search", "EditorIcons") + if is_instance_valid(list): + list.add_theme_stylebox_override("panel", get_theme_stylebox("panel", "Panel")) + + +### Signals + + +func _on_theme_changed() -> void: + apply_theme() + + +func _on_filter_edit_text_changed(new_text: String) -> void: + self.filter = new_text + + +func _on_list_item_clicked(index: int, at_position: Vector2, mouse_button_index: int) -> void: + if mouse_button_index == MOUSE_BUTTON_LEFT: + var title = list.get_item_text(index) + title_selected.emit(title) diff --git a/addons/dialogue_manager/components/title_list.gd.uid b/addons/dialogue_manager/components/title_list.gd.uid new file mode 100644 index 0000000..325ca61 --- /dev/null +++ b/addons/dialogue_manager/components/title_list.gd.uid @@ -0,0 +1 @@ +uid://d0k2wndjj0ifm diff --git a/addons/dialogue_manager/components/title_list.tscn b/addons/dialogue_manager/components/title_list.tscn new file mode 100644 index 0000000..ac2b983 --- /dev/null +++ b/addons/dialogue_manager/components/title_list.tscn @@ -0,0 +1,27 @@ +[gd_scene load_steps=2 format=3 uid="uid://ctns6ouwwd68i"] + +[ext_resource type="Script" uid="uid://d0k2wndjj0ifm" path="res://addons/dialogue_manager/components/title_list.gd" id="1_5qqmd"] + +[node name="TitleList" type="VBoxContainer"] +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_horizontal = 3 +size_flags_vertical = 3 +script = ExtResource("1_5qqmd") + +[node name="FilterEdit" type="LineEdit" parent="."] +layout_mode = 2 +placeholder_text = "Filter titles" +clear_button_enabled = true + +[node name="List" type="ItemList" parent="."] +layout_mode = 2 +size_flags_vertical = 3 +allow_reselect = true + +[connection signal="theme_changed" from="." to="." method="_on_theme_changed"] +[connection signal="text_changed" from="FilterEdit" to="." method="_on_filter_edit_text_changed"] +[connection signal="item_clicked" from="List" to="." method="_on_list_item_clicked"] diff --git a/addons/dialogue_manager/components/update_button.gd b/addons/dialogue_manager/components/update_button.gd new file mode 100644 index 0000000..cf3f1b9 --- /dev/null +++ b/addons/dialogue_manager/components/update_button.gd @@ -0,0 +1,125 @@ +@tool +extends Button + +const DialogueConstants = preload("../constants.gd") +const DialogueSettings = preload("../settings.gd") + +const REMOTE_RELEASES_URL = "https://api.github.com/repos/nathanhoad/godot_dialogue_manager/releases" + + +@onready var http_request: HTTPRequest = $HTTPRequest +@onready var download_dialog: AcceptDialog = $DownloadDialog +@onready var download_update_panel = $DownloadDialog/DownloadUpdatePanel +@onready var needs_reload_dialog: AcceptDialog = $NeedsReloadDialog +@onready var update_failed_dialog: AcceptDialog = $UpdateFailedDialog +@onready var timer: Timer = $Timer + +var needs_reload: bool = false + +# A lambda that gets called just before refreshing the plugin. Return false to stop the reload. +var on_before_refresh: Callable = func(): return true + + +func _ready() -> void: + hide() + apply_theme() + + # Check for updates on GitHub + check_for_update() + + # Check again every few hours + timer.start(60 * 60 * 12) + + +# Convert a version number to an actually comparable number +func version_to_number(version: String) -> int: + var bits = version.split(".") + return bits[0].to_int() * 1000000 + bits[1].to_int() * 1000 + bits[2].to_int() + + +func apply_theme() -> void: + var color: Color = get_theme_color("success_color", "Editor") + + if needs_reload: + color = get_theme_color("error_color", "Editor") + icon = get_theme_icon("Reload", "EditorIcons") + add_theme_color_override("icon_normal_color", color) + add_theme_color_override("icon_focus_color", color) + add_theme_color_override("icon_hover_color", color) + + add_theme_color_override("font_color", color) + add_theme_color_override("font_focus_color", color) + add_theme_color_override("font_hover_color", color) + + +func check_for_update() -> void: + if DialogueSettings.get_user_value("check_for_updates", true): + http_request.request(REMOTE_RELEASES_URL) + + +### Signals + + +func _on_http_request_request_completed(result: int, response_code: int, headers: PackedStringArray, body: PackedByteArray) -> void: + if result != HTTPRequest.RESULT_SUCCESS: return + + var current_version: String = Engine.get_meta("DialogueManagerPlugin").get_version() + + # Work out the next version from the releases information on GitHub + var response = JSON.parse_string(body.get_string_from_utf8()) + if typeof(response) != TYPE_ARRAY: return + + # GitHub releases are in order of creation, not order of version + var versions = (response as Array).filter(func(release): + var version: String = release.tag_name.substr(1) + var major_version: int = version.split(".")[0].to_int() + var current_major_version: int = current_version.split(".")[0].to_int() + return major_version == current_major_version and version_to_number(version) > version_to_number(current_version) + ) + if versions.size() > 0: + download_update_panel.next_version_release = versions[0] + text = DialogueConstants.translate(&"update.available").format({ version = versions[0].tag_name.substr(1) }) + show() + + +func _on_update_button_pressed() -> void: + if needs_reload: + var will_refresh = on_before_refresh.call() + if will_refresh: + EditorInterface.restart_editor(true) + else: + var scale: float = EditorInterface.get_editor_scale() + download_dialog.min_size = Vector2(300, 250) * scale + download_dialog.popup_centered() + + +func _on_download_dialog_close_requested() -> void: + download_dialog.hide() + + +func _on_download_update_panel_updated(updated_to_version: String) -> void: + download_dialog.hide() + + needs_reload_dialog.dialog_text = DialogueConstants.translate(&"update.needs_reload") + needs_reload_dialog.ok_button_text = DialogueConstants.translate(&"update.reload_ok_button") + needs_reload_dialog.cancel_button_text = DialogueConstants.translate(&"update.reload_cancel_button") + needs_reload_dialog.popup_centered() + + needs_reload = true + text = DialogueConstants.translate(&"update.reload_project") + apply_theme() + + +func _on_download_update_panel_failed() -> void: + download_dialog.hide() + update_failed_dialog.dialog_text = DialogueConstants.translate(&"update.failed") + update_failed_dialog.popup_centered() + + +func _on_needs_reload_dialog_confirmed() -> void: + EditorInterface.restart_editor(true) + + +func _on_timer_timeout() -> void: + if not needs_reload: + check_for_update() diff --git a/addons/dialogue_manager/components/update_button.gd.uid b/addons/dialogue_manager/components/update_button.gd.uid new file mode 100644 index 0000000..9981132 --- /dev/null +++ b/addons/dialogue_manager/components/update_button.gd.uid @@ -0,0 +1 @@ +uid://cr1tt12dh5ecr diff --git a/addons/dialogue_manager/components/update_button.tscn b/addons/dialogue_manager/components/update_button.tscn new file mode 100644 index 0000000..6cff347 --- /dev/null +++ b/addons/dialogue_manager/components/update_button.tscn @@ -0,0 +1,42 @@ +[gd_scene load_steps=3 format=3 uid="uid://co8yl23idiwbi"] + +[ext_resource type="Script" uid="uid://cr1tt12dh5ecr" path="res://addons/dialogue_manager/components/update_button.gd" id="1_d2tpb"] +[ext_resource type="PackedScene" uid="uid://qdxrxv3c3hxk" path="res://addons/dialogue_manager/components/download_update_panel.tscn" id="2_iwm7r"] + +[node name="UpdateButton" type="Button"] +visible = false +offset_right = 8.0 +offset_bottom = 8.0 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_colors/font_hover_color = Color(0, 0, 0, 1) +theme_override_colors/font_focus_color = Color(0, 0, 0, 1) +text = "v2.9.0 available" +flat = true +script = ExtResource("1_d2tpb") + +[node name="HTTPRequest" type="HTTPRequest" parent="."] + +[node name="DownloadDialog" type="AcceptDialog" parent="."] +title = "Download update" +size = Vector2i(400, 300) +unresizable = true +min_size = Vector2i(300, 250) +ok_button_text = "Close" + +[node name="DownloadUpdatePanel" parent="DownloadDialog" instance=ExtResource("2_iwm7r")] + +[node name="UpdateFailedDialog" type="AcceptDialog" parent="."] +dialog_text = "You have been updated to version 2.4.3" + +[node name="NeedsReloadDialog" type="ConfirmationDialog" parent="."] + +[node name="Timer" type="Timer" parent="."] +wait_time = 14400.0 + +[connection signal="pressed" from="." to="." method="_on_update_button_pressed"] +[connection signal="request_completed" from="HTTPRequest" to="." method="_on_http_request_request_completed"] +[connection signal="close_requested" from="DownloadDialog" to="." method="_on_download_dialog_close_requested"] +[connection signal="failed" from="DownloadDialog/DownloadUpdatePanel" to="." method="_on_download_update_panel_failed"] +[connection signal="updated" from="DownloadDialog/DownloadUpdatePanel" to="." method="_on_download_update_panel_updated"] +[connection signal="confirmed" from="NeedsReloadDialog" to="." method="_on_needs_reload_dialog_confirmed"] +[connection signal="timeout" from="Timer" to="." method="_on_timer_timeout"] diff --git a/addons/dialogue_manager/constants.gd b/addons/dialogue_manager/constants.gd new file mode 100644 index 0000000..aec6f12 --- /dev/null +++ b/addons/dialogue_manager/constants.gd @@ -0,0 +1,234 @@ +class_name DMConstants extends RefCounted + + +const USER_CONFIG_PATH = "user://dialogue_manager_user_config.json" +const CACHE_PATH = "user://dialogue_manager_cache.json" + + +enum MutationBehaviour { + Wait, + DoNotWait, + Skip +} + +enum TranslationSource { + None, + Guess, + CSV, + PO +} + +# Token types + +const TOKEN_FUNCTION = &"function" +const TOKEN_DICTIONARY_REFERENCE = &"dictionary_reference" +const TOKEN_DICTIONARY_NESTED_REFERENCE = &"dictionary_nested_reference" +const TOKEN_GROUP = &"group" +const TOKEN_ARRAY = &"array" +const TOKEN_DICTIONARY = &"dictionary" +const TOKEN_PARENS_OPEN = &"parens_open" +const TOKEN_PARENS_CLOSE = &"parens_close" +const TOKEN_BRACKET_OPEN = &"bracket_open" +const TOKEN_BRACKET_CLOSE = &"bracket_close" +const TOKEN_BRACE_OPEN = &"brace_open" +const TOKEN_BRACE_CLOSE = &"brace_close" +const TOKEN_COLON = &"colon" +const TOKEN_COMPARISON = &"comparison" +const TOKEN_ASSIGNMENT = &"assignment" +const TOKEN_OPERATOR = &"operator" +const TOKEN_COMMA = &"comma" +const TOKEN_NULL_COALESCE = &"null_coalesce" +const TOKEN_DOT = &"dot" +const TOKEN_CONDITION = &"condition" +const TOKEN_BOOL = &"bool" +const TOKEN_NOT = &"not" +const TOKEN_AND_OR = &"and_or" +const TOKEN_STRING = &"string" +const TOKEN_NUMBER = &"number" +const TOKEN_VARIABLE = &"variable" +const TOKEN_COMMENT = &"comment" + +const TOKEN_VALUE = &"value" +const TOKEN_ERROR = &"error" + +# Line types + +const TYPE_UNKNOWN = &"" +const TYPE_IMPORT = &"import" +const TYPE_USING = &"using" +const TYPE_COMMENT = &"comment" +const TYPE_RESPONSE = &"response" +const TYPE_TITLE = &"title" +const TYPE_CONDITION = &"condition" +const TYPE_WHILE = &"while" +const TYPE_MATCH = &"match" +const TYPE_WHEN = &"when" +const TYPE_MUTATION = &"mutation" +const TYPE_GOTO = &"goto" +const TYPE_DIALOGUE = &"dialogue" +const TYPE_RANDOM = &"random" +const TYPE_ERROR = &"error" + +# Line IDs + +const ID_NULL = &"" +const ID_ERROR = &"error" +const ID_ERROR_INVALID_TITLE = &"invalid title" +const ID_ERROR_TITLE_HAS_NO_BODY = &"title has no body" +const ID_END = &"end" +const ID_END_CONVERSATION = &"end!" + +# Errors + +const ERR_ERRORS_IN_IMPORTED_FILE = 100 +const ERR_FILE_ALREADY_IMPORTED = 101 +const ERR_DUPLICATE_IMPORT_NAME = 102 +const ERR_EMPTY_TITLE = 103 +const ERR_DUPLICATE_TITLE = 104 +const ERR_TITLE_INVALID_CHARACTERS = 106 +const ERR_UNKNOWN_TITLE = 107 +const ERR_INVALID_TITLE_REFERENCE = 108 +const ERR_TITLE_REFERENCE_HAS_NO_CONTENT = 109 +const ERR_INVALID_EXPRESSION = 110 +const ERR_UNEXPECTED_CONDITION = 111 +const ERR_DUPLICATE_ID = 112 +const ERR_MISSING_ID = 113 +const ERR_INVALID_INDENTATION = 114 +const ERR_INVALID_CONDITION_INDENTATION = 115 +const ERR_INCOMPLETE_EXPRESSION = 116 +const ERR_INVALID_EXPRESSION_FOR_VALUE = 117 +const ERR_UNKNOWN_LINE_SYNTAX = 118 +const ERR_TITLE_BEGINS_WITH_NUMBER = 119 +const ERR_UNEXPECTED_END_OF_EXPRESSION = 120 +const ERR_UNEXPECTED_FUNCTION = 121 +const ERR_UNEXPECTED_BRACKET = 122 +const ERR_UNEXPECTED_CLOSING_BRACKET = 123 +const ERR_MISSING_CLOSING_BRACKET = 124 +const ERR_UNEXPECTED_OPERATOR = 125 +const ERR_UNEXPECTED_COMMA = 126 +const ERR_UNEXPECTED_COLON = 127 +const ERR_UNEXPECTED_DOT = 128 +const ERR_UNEXPECTED_BOOLEAN = 129 +const ERR_UNEXPECTED_STRING = 130 +const ERR_UNEXPECTED_NUMBER = 131 +const ERR_UNEXPECTED_VARIABLE = 132 +const ERR_INVALID_INDEX = 133 +const ERR_UNEXPECTED_ASSIGNMENT = 134 +const ERR_UNKNOWN_USING = 135 +const ERR_EXPECTED_WHEN_OR_ELSE = 136 +const ERR_ONLY_ONE_ELSE_ALLOWED = 137 +const ERR_WHEN_MUST_BELONG_TO_MATCH = 138 +const ERR_CONCURRENT_LINE_WITHOUT_ORIGIN = 139 +const ERR_GOTO_NOT_ALLOWED_ON_CONCURRECT_LINES = 140 +const ERR_UNEXPECTED_SYNTAX_ON_NESTED_DIALOGUE_LINE = 141 +const ERR_NESTED_DIALOGUE_INVALID_JUMP = 142 +const ERR_MISSING_RESOURCE_FOR_AUTOSTART = 143 + + +static var _current_locale: String = "" +static var _current_translation: Translation + + +## Get the error message +static func get_error_message(error: int) -> String: + match error: + ERR_ERRORS_IN_IMPORTED_FILE: + return translate(&"errors.import_errors") + ERR_FILE_ALREADY_IMPORTED: + return translate(&"errors.already_imported") + ERR_DUPLICATE_IMPORT_NAME: + return translate(&"errors.duplicate_import") + ERR_EMPTY_TITLE: + return translate(&"errors.empty_title") + ERR_DUPLICATE_TITLE: + return translate(&"errors.duplicate_title") + ERR_TITLE_INVALID_CHARACTERS: + return translate(&"errors.invalid_title_string") + ERR_TITLE_BEGINS_WITH_NUMBER: + return translate(&"errors.invalid_title_number") + ERR_UNKNOWN_TITLE: + return translate(&"errors.unknown_title") + ERR_INVALID_TITLE_REFERENCE: + return translate(&"errors.jump_to_invalid_title") + ERR_TITLE_REFERENCE_HAS_NO_CONTENT: + return translate(&"errors.title_has_no_content") + ERR_INVALID_EXPRESSION: + return translate(&"errors.invalid_expression") + ERR_UNEXPECTED_CONDITION: + return translate(&"errors.unexpected_condition") + ERR_DUPLICATE_ID: + return translate(&"errors.duplicate_id") + ERR_MISSING_ID: + return translate(&"errors.missing_id") + ERR_INVALID_INDENTATION: + return translate(&"errors.invalid_indentation") + ERR_INVALID_CONDITION_INDENTATION: + return translate(&"errors.condition_has_no_content") + ERR_INCOMPLETE_EXPRESSION: + return translate(&"errors.incomplete_expression") + ERR_INVALID_EXPRESSION_FOR_VALUE: + return translate(&"errors.invalid_expression_for_value") + ERR_FILE_NOT_FOUND: + return translate(&"errors.file_not_found") + ERR_UNEXPECTED_END_OF_EXPRESSION: + return translate(&"errors.unexpected_end_of_expression") + ERR_UNEXPECTED_FUNCTION: + return translate(&"errors.unexpected_function") + ERR_UNEXPECTED_BRACKET: + return translate(&"errors.unexpected_bracket") + ERR_UNEXPECTED_CLOSING_BRACKET: + return translate(&"errors.unexpected_closing_bracket") + ERR_MISSING_CLOSING_BRACKET: + return translate(&"errors.missing_closing_bracket") + ERR_UNEXPECTED_OPERATOR: + return translate(&"errors.unexpected_operator") + ERR_UNEXPECTED_COMMA: + return translate(&"errors.unexpected_comma") + ERR_UNEXPECTED_COLON: + return translate(&"errors.unexpected_colon") + ERR_UNEXPECTED_DOT: + return translate(&"errors.unexpected_dot") + ERR_UNEXPECTED_BOOLEAN: + return translate(&"errors.unexpected_boolean") + ERR_UNEXPECTED_STRING: + return translate(&"errors.unexpected_string") + ERR_UNEXPECTED_NUMBER: + return translate(&"errors.unexpected_number") + ERR_UNEXPECTED_VARIABLE: + return translate(&"errors.unexpected_variable") + ERR_INVALID_INDEX: + return translate(&"errors.invalid_index") + ERR_UNEXPECTED_ASSIGNMENT: + return translate(&"errors.unexpected_assignment") + ERR_UNKNOWN_USING: + return translate(&"errors.unknown_using") + ERR_EXPECTED_WHEN_OR_ELSE: + return translate(&"errors.expected_when_or_else") + ERR_ONLY_ONE_ELSE_ALLOWED: + return translate(&"errors.only_one_else_allowed") + ERR_WHEN_MUST_BELONG_TO_MATCH: + return translate(&"errors.when_must_belong_to_match") + ERR_CONCURRENT_LINE_WITHOUT_ORIGIN: + return translate(&"errors.concurrent_line_without_origin") + ERR_GOTO_NOT_ALLOWED_ON_CONCURRECT_LINES: + return translate(&"errors.goto_not_allowed_on_concurrect_lines") + ERR_UNEXPECTED_SYNTAX_ON_NESTED_DIALOGUE_LINE: + return translate(&"errors.unexpected_syntax_on_nested_dialogue_line") + ERR_NESTED_DIALOGUE_INVALID_JUMP: + return translate(&"errors.err_nested_dialogue_invalid_jump") + ERR_MISSING_RESOURCE_FOR_AUTOSTART: + return translate(&"errors.missing_resource_for_autostart") + + return translate(&"errors.unknown") + + +static func translate(string: String) -> String: + var locale: String = TranslationServer.get_tool_locale() + if _current_translation == null or _current_locale != locale: + var base_path: String = new().get_script().resource_path.get_base_dir() + var translation_path: String = "%s/l10n/%s.po" % [base_path, locale] + var fallback_translation_path: String = "%s/l10n/%s.po" % [base_path, locale.substr(0, 2)] + var en_translation_path: String = "%s/l10n/en.po" % base_path + _current_translation = load(translation_path if FileAccess.file_exists(translation_path) else (fallback_translation_path if FileAccess.file_exists(fallback_translation_path) else en_translation_path)) + _current_locale = locale + return _current_translation.get_message(string) diff --git a/addons/dialogue_manager/constants.gd.uid b/addons/dialogue_manager/constants.gd.uid new file mode 100644 index 0000000..f431917 --- /dev/null +++ b/addons/dialogue_manager/constants.gd.uid @@ -0,0 +1 @@ +uid://b1oarbmjtyesf diff --git a/addons/dialogue_manager/dialogue_label.gd b/addons/dialogue_manager/dialogue_label.gd new file mode 100644 index 0000000..f6dde31 --- /dev/null +++ b/addons/dialogue_manager/dialogue_label.gd @@ -0,0 +1,236 @@ +@icon("./assets/icon.svg") + +@tool + +## A RichTextLabel specifically for use with [b]Dialogue Manager[/b] dialogue. +class_name DialogueLabel extends RichTextLabel + + +## Emitted for each letter typed out. +signal spoke(letter: String, letter_index: int, speed: float) + +## Emitted when the player skips the typing of dialogue. +signal skipped_typing() + +## Emitted when typing starts +signal started_typing() + +## Emitted when typing finishes. +signal finished_typing() + +## [Deprecated] No longer emitted. +signal paused_typing(duration: float) + + +## The action to press to skip typing. +@export var skip_action: StringName = &"ui_cancel" + +## The speed with which the text types out. +@export var seconds_per_step: float = 0.02 + +## Automatically have a brief pause when these characters are encountered. +@export var pause_at_characters: String = ".?!" + +## Don't auto pause if the character after the pause is one of these. +@export var skip_pause_at_character_if_followed_by: String = ")\"" + +## Don't auto pause after these abbreviations (only if "." is in `pause_at_characters`).[br] +## Abbreviations are limitted to 5 characters in length [br] +## Does not support multi-period abbreviations (ex. "p.m.") +@export var skip_pause_at_abbreviations: PackedStringArray = ["Mr", "Mrs", "Ms", "Dr", "etc", "eg", "ex"] + +## The amount of time to pause when exposing a character present in `pause_at_characters`. +@export var seconds_per_pause_step: float = 0.3 + +var mouse_over_link = false + +var _already_mutated_indices: PackedInt32Array = [] + +## The current line of dialogue. +var dialogue_line: + set(value): + if value != dialogue_line: + dialogue_line = value + _update_text() + get: + return dialogue_line + +## Whether the label is currently typing itself out. +var is_typing: bool = false: + set(value): + var is_finished: bool = _is_typing != value and value == false and visible_characters == get_total_character_count() + _is_typing = value + if is_finished: + finished_typing.emit() + get: + return _is_typing and not _is_awaiting_mutation +var _is_typing: bool = false + +var _last_wait_index: int = -1 +var _last_mutation_index: int = -1 +var _waiting_seconds: float = 0 +var _is_awaiting_mutation: bool = false + + +func _process(delta: float) -> void: + if _is_typing: + # Type out text + if visible_ratio < 1: + # See if we are waiting + if _waiting_seconds > 0: + _waiting_seconds = _waiting_seconds - delta + # If we are no longer waiting then keep typing + if _waiting_seconds <= 0: + _type_next(delta, _waiting_seconds) + else: + # Make sure any mutations at the end of the line get run + _mutate_inline_mutations(get_total_character_count()) + is_typing = false + + +## Sets the label's text from the current dialogue line. Override if you want +## to do something more interesting in your subclass. +func _update_text() -> void: + text = dialogue_line.text + + +## Start typing out the text +func type_out() -> void: + _update_text() + visible_characters = 0 + visible_ratio = 0 + _waiting_seconds = 0 + _last_wait_index = -1 + _last_mutation_index = -1 + _already_mutated_indices.clear() + + is_typing = true + started_typing.emit() + + # Allow typing listeners a chance to connect + await get_tree().process_frame + + if get_total_character_count() == 0: + is_typing = false + elif seconds_per_step == 0: + _mutate_remaining_mutations() + visible_characters = get_total_character_count() + is_typing = false + + +## Stop typing out the text and jump right to the end +func skip_typing() -> void: + _mutate_remaining_mutations() + visible_characters = get_total_character_count() + is_typing = false + skipped_typing.emit() + + +# Type out the next character(s) +func _type_next(delta: float, seconds_needed: float) -> void: + if _is_awaiting_mutation: return + + if visible_characters == get_total_character_count(): + return + + if _last_mutation_index != visible_characters: + _last_mutation_index = visible_characters + _mutate_inline_mutations(visible_characters) + if _is_awaiting_mutation: return + + # Pause on characters like "." + var waiting_seconds: float = seconds_per_pause_step if _should_auto_pause() else 0 + if _last_wait_index != visible_characters and waiting_seconds > 0: + _last_wait_index = visible_characters + _waiting_seconds += waiting_seconds + else: + visible_characters += 1 + if visible_characters <= get_total_character_count(): + spoke.emit(get_parsed_text()[visible_characters - 1], visible_characters - 1, _get_speed(visible_characters)) + # See if there's time to type out some more in this frame + seconds_needed += seconds_per_step * (1.0 / _get_speed(visible_characters)) + if seconds_needed > delta: + _waiting_seconds += seconds_needed + else: + _type_next(delta, seconds_needed) + + +# Get the speed for the current typing position +func _get_speed(at_index: int) -> float: + var speed: float = 1 + for index in dialogue_line.speeds: + if index > at_index: + return speed + speed = dialogue_line.speeds[index] + return speed + + +# Run any inline mutations that haven't been run yet +func _mutate_remaining_mutations() -> void: + for i in range(visible_characters, get_total_character_count() + 1): + _mutate_inline_mutations(i) + + +# Run any mutations at the current typing position +func _mutate_inline_mutations(index: int) -> void: + for inline_mutation in dialogue_line.inline_mutations: + # inline mutations are an array of arrays in the form of [character index, resolvable function] + if inline_mutation[0] > index: + return + if inline_mutation[0] == index and not _already_mutated_indices.has(index): + _is_awaiting_mutation = true + # The DialogueManager can't be referenced directly here so we need to get it by its path + await Engine.get_singleton("DialogueManager")._mutate(inline_mutation[1], dialogue_line.extra_game_states, true) + _is_awaiting_mutation = false + + _already_mutated_indices.append(index) + + +# Determine if the current autopause character at the cursor should qualify to pause typing. +func _should_auto_pause() -> bool: + if visible_characters == 0: return false + + var parsed_text: String = get_parsed_text() + + # Avoid outofbounds when the label auto-translates and the text changes to one shorter while typing out + # Note: visible characters can be larger than parsed_text after a translation event + if visible_characters >= parsed_text.length(): return false + + # Ignore pause characters if they are next to a non-pause character + if parsed_text[visible_characters] in skip_pause_at_character_if_followed_by.split(): + return false + + # Ignore "." if it's between two numbers + if visible_characters > 3 and parsed_text[visible_characters - 1] == ".": + var possible_number: String = parsed_text.substr(visible_characters - 2, 3) + if str(float(possible_number)).pad_decimals(1) == possible_number: + return false + + # Ignore "." if it's used in an abbreviation + # Note: does NOT support multi-period abbreviations (ex. p.m.) + if "." in pause_at_characters and parsed_text[visible_characters - 1] == ".": + for abbreviation in skip_pause_at_abbreviations: + if visible_characters >= abbreviation.length(): + var previous_characters: String = parsed_text.substr(visible_characters - abbreviation.length() - 1, abbreviation.length()) + if previous_characters == abbreviation: + return false + + # Ignore two non-"." characters next to each other + var other_pause_characters: PackedStringArray = pause_at_characters.replace(".", "").split() + if visible_characters > 1 and parsed_text[visible_characters - 1] in other_pause_characters and parsed_text[visible_characters] in other_pause_characters: + return false + + return parsed_text[visible_characters - 1] in pause_at_characters.split() + + +func _on_meta_clicked(meta: Variant) -> void: + print('Link clicked: ' + str(meta)) + OS.shell_open(str(meta)) + + +func _on_meta_hover_ended(meta: Variant) -> void: + mouse_over_link = false + + +func _on_meta_hover_started(meta: Variant) -> void: + mouse_over_link = true diff --git a/addons/dialogue_manager/dialogue_label.gd.uid b/addons/dialogue_manager/dialogue_label.gd.uid new file mode 100644 index 0000000..6bf86b1 --- /dev/null +++ b/addons/dialogue_manager/dialogue_label.gd.uid @@ -0,0 +1 @@ +uid://g32um0mltv5d diff --git a/addons/dialogue_manager/dialogue_label.tscn b/addons/dialogue_manager/dialogue_label.tscn new file mode 100644 index 0000000..15c7335 --- /dev/null +++ b/addons/dialogue_manager/dialogue_label.tscn @@ -0,0 +1,23 @@ +[gd_scene load_steps=2 format=3 uid="uid://ckvgyvclnwggo"] + +[ext_resource type="Script" uid="uid://g32um0mltv5d" path="res://addons/dialogue_manager/dialogue_label.gd" id="1_cital"] + +[node name="DialogueLabel" type="RichTextLabel"] +anchors_preset = 10 +anchor_right = 1.0 +grow_horizontal = 2 +mouse_filter = 1 +theme_override_font_sizes/normal_font_size = 32 +bbcode_enabled = true +fit_content = true +scroll_active = false +shortcut_keys_enabled = false +hint_underlined = false +deselect_on_focus_loss_enabled = false +visible_characters_behavior = 1 +script = ExtResource("1_cital") +skip_pause_at_abbreviations = PackedStringArray("Mr", "Mrs", "Ms", "Dr", "etc", "eg", "ex") + +[connection signal="meta_clicked" from="." to="." method="_on_meta_clicked"] +[connection signal="meta_hover_ended" from="." to="." method="_on_meta_hover_ended"] +[connection signal="meta_hover_started" from="." to="." method="_on_meta_hover_started"] diff --git a/addons/dialogue_manager/dialogue_line.gd b/addons/dialogue_manager/dialogue_line.gd new file mode 100644 index 0000000..ac90fb1 --- /dev/null +++ b/addons/dialogue_manager/dialogue_line.gd @@ -0,0 +1,105 @@ +## A line of dialogue returned from [code]DialogueManager[/code]. +class_name DialogueLine extends RefCounted + + +## The ID of this line +var id: String + +## The internal type of this dialogue object. One of [code]TYPE_DIALOGUE[/code] or [code]TYPE_MUTATION[/code] +var type: String = DMConstants.TYPE_DIALOGUE + +## The next line ID after this line. +var next_id: String = "" + +## The character name that is saying this line. +var character: String = "" + +## A dictionary of variable replacements fo the character name. Generally for internal use only. +var character_replacements: Array[Dictionary] = [] + +## The dialogue being spoken. +var text: String = "" + +## A dictionary of replacements for the text. Generally for internal use only. +var text_replacements: Array[Dictionary] = [] + +## The key to use for translating this line. +var translation_key: String = "" + +## A map for speed changes when typing out the dialogue text. +var speeds: Dictionary = {} + +## A map of any mutations to run while typing out the dialogue text. +var inline_mutations: Array[Array] = [] + +## A list of responses attached to this line of dialogue. +var responses: Array = [] + +## A list of lines that are spoken simultaneously with this one. +var concurrent_lines: Array[DialogueLine] = [] + +## A list of any extra game states to check when resolving variables and mutations. +var extra_game_states: Array = [] + +## How long to show this line before advancing to the next. Either a float (of seconds), [code]"auto"[/code], or [code]null[/code]. +var time: String = "" + +## Any #tags that were included in the line +var tags: PackedStringArray = [] + +## The mutation details if this is a mutation line (where [code]type == TYPE_MUTATION[/code]). +var mutation: Dictionary = {} + +## The conditions to check before including this line in the flow of dialogue. If failed the line will be skipped over. +var conditions: Dictionary = {} + + +func _init(data: Dictionary = {}) -> void: + if data.size() > 0: + id = data.id + next_id = data.next_id + type = data.type + extra_game_states = data.get("extra_game_states", []) + + match type: + DMConstants.TYPE_DIALOGUE: + character = data.character + character_replacements = data.get("character_replacements", [] as Array[Dictionary]) + text = data.text + text_replacements = data.get("text_replacements", [] as Array[Dictionary]) + translation_key = data.get("translation_key", data.text) + speeds = data.get("speeds", {}) + inline_mutations = data.get("inline_mutations", [] as Array[Array]) + time = data.get("time", "") + tags = data.get("tags", []) + concurrent_lines = data.get("concurrent_lines", [] as Array[DialogueLine]) + + DMConstants.TYPE_MUTATION: + mutation = data.mutation + + +func _to_string() -> String: + match type: + DMConstants.TYPE_DIALOGUE: + return "" % [character, text] + DMConstants.TYPE_MUTATION: + return "" + return "" + + +## Check if a dialogue line has a given tag. +func has_tag(tag_name: String) -> bool: + var wrapped: String = "%s=" % tag_name + for t in tags: + if t.begins_with(wrapped): + return true + return false + + +## Get the value of a tag if the tag is in the form of [code]tag=value[/code] +func get_tag_value(tag_name: String) -> String: + var wrapped: String = "%s=" % tag_name + for t in tags: + if t.begins_with(wrapped): + return t.replace(wrapped, "").strip_edges() + return "" diff --git a/addons/dialogue_manager/dialogue_line.gd.uid b/addons/dialogue_manager/dialogue_line.gd.uid new file mode 100644 index 0000000..7ec7029 --- /dev/null +++ b/addons/dialogue_manager/dialogue_line.gd.uid @@ -0,0 +1 @@ +uid://rhuq0eyf8ar2 diff --git a/addons/dialogue_manager/dialogue_manager.gd b/addons/dialogue_manager/dialogue_manager.gd new file mode 100644 index 0000000..7d94df4 --- /dev/null +++ b/addons/dialogue_manager/dialogue_manager.gd @@ -0,0 +1,1541 @@ +extends Node + +const DialogueResource = preload("./dialogue_resource.gd") +const DialogueLine = preload("./dialogue_line.gd") +const DialogueResponse = preload("./dialogue_response.gd") + +const DMConstants = preload("./constants.gd") +const Builtins = preload("./utilities/builtins.gd") +const DMSettings = preload("./settings.gd") +const DMCompiler = preload("./compiler/compiler.gd") +const DMCompilerResult = preload("./compiler/compiler_result.gd") +const DMResolvedLineData = preload("./compiler/resolved_line_data.gd") + + +## Emitted when a dialogue balloon is created and dialogue starts +signal dialogue_started(resource: DialogueResource) + +## Emitted when a title is encountered while traversing dialogue, usually when jumping from a +## goto line +signal passed_title(title: String) + +## Emitted when a line of dialogue is encountered. +signal got_dialogue(line: DialogueLine) + +## Emitted when a mutation is encountered. +signal mutated(mutation: Dictionary) + +## Emitted when some dialogue has reached the end. +signal dialogue_ended(resource: DialogueResource) + +## Used internally. +signal bridge_get_next_dialogue_line_completed(line: DialogueLine) + +## Used internally. +signal bridge_get_line_completed(line: DialogueLine) + +## Used internally +signal bridge_dialogue_started(resource: DialogueResource) + +## Used internally +signal bridge_mutated() + + +## The list of globals that dialogue can query +var game_states: Array = [] + +## Allow dialogue to call singletons +var include_singletons: bool = true + +## Allow dialogue to call static methods/properties on classes +var include_classes: bool = true + +## Manage translation behaviour +var translation_source: DMConstants.TranslationSource = DMConstants.TranslationSource.Guess + +## Used to resolve the current scene. Override if your game manages the current scene itself. +var get_current_scene: Callable = func(): + var current_scene: Node = Engine.get_main_loop().current_scene + if current_scene == null: + current_scene = Engine.get_main_loop().root.get_child(Engine.get_main_loop().root.get_child_count() - 1) + return current_scene + +var _has_loaded_autoloads: bool = false +var _autoloads: Dictionary = {} + +var _node_properties: Array = [] +var _method_info_cache: Dictionary = {} + +var _dotnet_dialogue_manager: RefCounted + +var _expression_parser: DMExpressionParser = DMExpressionParser.new() + + +func _ready() -> void: + # Cache the known Node2D properties + _node_properties = ["Script Variables"] + var temp_node: Node2D = Node2D.new() + for property in temp_node.get_property_list(): + _node_properties.append(property.name) + temp_node.free() + + # Make the dialogue manager available as a singleton + if not Engine.has_singleton("DialogueManager"): + Engine.register_singleton("DialogueManager", self) + + +## Step through lines and run any mutations until we either hit some dialogue or the end of the conversation +func get_next_dialogue_line(resource: DialogueResource, key: String = "", extra_game_states: Array = [], mutation_behaviour: DMConstants.MutationBehaviour = DMConstants.MutationBehaviour.Wait) -> DialogueLine: + var line = await _get_next_dialogue_line(resource, key, extra_game_states, mutation_behaviour) + if line == null: + # End the conversation + dialogue_ended.emit(resource) + TextToSpeech._stop_dialogue() + return line + + +# Internal line getter. +func _get_next_dialogue_line(resource: DialogueResource, key: String = "", extra_game_states: Array = [], mutation_behaviour: DMConstants.MutationBehaviour = DMConstants.MutationBehaviour.Wait) -> DialogueLine: + # You have to provide a valid dialogue resource + if resource == null: + assert(false, DMConstants.translate(&"runtime.no_resource")) + if resource.lines.size() == 0: + assert(false, DMConstants.translate(&"runtime.no_content").format({ file_path = resource.resource_path })) + + # Inject any "using" states into the game_states + for state_name in resource.using_states: + var autoload = Engine.get_main_loop().root.get_node_or_null(state_name) + if autoload == null: + printerr(DMConstants.translate(&"runtime.unknown_autoload").format({ autoload = state_name })) + else: + extra_game_states = [autoload] + extra_game_states + + # Inject "self" into the extra game states. + extra_game_states = [{ "self": resource }] + extra_game_states + + # Get the line data + var dialogue: DialogueLine = await get_line(resource, key, extra_game_states) + + # If our dialogue is nothing then we hit the end + if not _is_valid(dialogue): + return null + + # Run the mutation if it is one + if dialogue.type == DMConstants.TYPE_MUTATION: + var actual_next_id: String = dialogue.next_id.split("|")[0] + match mutation_behaviour: + DMConstants.MutationBehaviour.Wait: + await _mutate(dialogue.mutation, extra_game_states) + DMConstants.MutationBehaviour.DoNotWait: + _mutate(dialogue.mutation, extra_game_states) + DMConstants.MutationBehaviour.Skip: + pass + if actual_next_id in [DMConstants.ID_END_CONVERSATION, DMConstants.ID_NULL, null]: + return null + else: + return await _get_next_dialogue_line(resource, dialogue.next_id, extra_game_states, mutation_behaviour) + else: + got_dialogue.emit(dialogue) + return dialogue + + +## Get a line by its ID +func get_line(resource: DialogueResource, key: String, extra_game_states: Array) -> DialogueLine: + key = key.strip_edges() + + # See if we were given a stack instead of just the one key + var stack: Array = key.split("|") + key = stack.pop_front() + var id_trail: String = "" if stack.size() == 0 else "|" + "|".join(stack) + + # Key is blank so just use the first title (or start of file) + if key == null or key == "": + if resource.first_title.is_empty(): + key = resource.lines.keys()[0] + else: + key = resource.first_title + + # See if we just ended the conversation + if key in [DMConstants.ID_END, DMConstants.ID_NULL, null]: + if stack.size() > 0: + return await get_line(resource, "|".join(stack), extra_game_states) + else: + return null + elif key == DMConstants.ID_END_CONVERSATION: + return null + + # See if it is a title + if key.begins_with("~ "): + key = key.substr(2) + if resource.titles.has(key): + key = resource.titles.get(key) + + if key in resource.titles.values(): + passed_title.emit(resource.titles.find_key(key)) + + if not resource.lines.has(key): + assert(false, DMConstants.translate(&"errors.key_not_found").format({ key = key })) + + var data: Dictionary = resource.lines.get(key) + + # If next_id is an expression we need to resolve it. + if data.has(&"next_id_expression"): + data.next_id = await _resolve(data.next_id_expression, extra_game_states) + + # This title key points to another title key so we should jump there instead + if data.type == DMConstants.TYPE_TITLE and data.next_id in resource.titles.values(): + return await get_line(resource, data.next_id + id_trail, extra_game_states) + + # Handle match statements + if data.type == DMConstants.TYPE_MATCH: + var value = await _resolve_condition_value(data, extra_game_states) + var else_cases: Array[Dictionary] = data.cases.filter(func(s): return s.has("is_else")) + var else_case: Dictionary = {} if else_cases.size() == 0 else else_cases.front() + var next_id: String = "" + for case in data.cases: + if case == else_case: + continue + elif await _check_case_value(value, case, extra_game_states): + next_id = case.next_id + break + # Nothing matched so check for else case + if next_id == "": + if not else_case.is_empty(): + next_id = else_case.next_id + else: + next_id = data.next_id_after + return await get_line(resource, next_id + id_trail, extra_game_states) + + # Check for weighted random lines. + if data.has(&"siblings"): + # Only count siblings that pass their condition (if they have one). + var successful_siblings: Array = data.siblings.filter(func(sibling): return not sibling.has("condition") or await _check_condition(sibling, extra_game_states)) + # If there are no siblings that pass their conditions then just skip over them all. + if successful_siblings.size() == 0: + return await get_line(resource, data.next_id + id_trail, extra_game_states) + # Otherwise, pick a random one. + var target_weight: float = randf_range(0, successful_siblings.reduce(func(total, sibling): return total + sibling.weight, 0)) + var cummulative_weight: float = 0 + for sibling in successful_siblings: + if target_weight < cummulative_weight + sibling.weight: + data = resource.lines.get(sibling.id) + break + else: + cummulative_weight += sibling.weight + + # If this line is blank and it's the last line then check for returning snippets. + if data.type in [DMConstants.TYPE_COMMENT, DMConstants.TYPE_UNKNOWN]: + if data.next_id in [DMConstants.ID_END, DMConstants.ID_NULL, null]: + if stack.size() > 0: + return await get_line(resource, "|".join(stack), extra_game_states) + else: + return null + else: + return await get_line(resource, data.next_id + id_trail, extra_game_states) + + # If the line is a random block then go to the start of the block. + elif data.type == DMConstants.TYPE_RANDOM: + return await get_line(resource, data.next_id + id_trail, extra_game_states) + + # Check conditions. + elif data.type in [DMConstants.TYPE_CONDITION, DMConstants.TYPE_WHILE]: + # "else" will have no actual condition. + if await _check_condition(data, extra_game_states): + return await get_line(resource, data.next_id + id_trail, extra_game_states) + elif data.has("next_sibling_id") and not data.next_sibling_id.is_empty(): + return await get_line(resource, data.next_sibling_id + id_trail, extra_game_states) + else: + return await get_line(resource, data.next_id_after + id_trail, extra_game_states) + + # Evaluate jumps. + elif data.type == DMConstants.TYPE_GOTO: + if data.is_snippet and not id_trail.begins_with("|" + data.next_id_after): + id_trail = "|" + data.next_id_after + id_trail + return await get_line(resource, data.next_id + id_trail, extra_game_states) + + elif data.type == DMConstants.TYPE_DIALOGUE: + if not data.has(&"id"): + data.id = key + + # Set up a line object. + var line: DialogueLine = await create_dialogue_line(data, extra_game_states) + + # If the jump point somehow has no content then just end. + if not line: return null + + # Find any simultaneously said lines. + if data.has(&"concurrent_lines"): + # If the list includes this line then it isn't the origin line so ignore it. + if not data.concurrent_lines.has(data.id): + # Resolve IDs to their actual lines. + for line_id: String in data.concurrent_lines: + line.concurrent_lines.append(await get_line(resource, line_id, extra_game_states)) + + # If we are the first of a list of responses then get the other ones. + if data.type == DMConstants.TYPE_RESPONSE: + # Note: For some reason C# has occasional issues with using the responses property directly + # so instead we use set and get here. + line.set(&"responses", await _get_responses(data.get(&"responses", []), resource, id_trail, extra_game_states)) + return line + + # Inject the next node's responses if they have any. + if resource.lines.has(line.next_id): + var next_line: Dictionary = resource.lines.get(line.next_id) + + # If the response line is marked as a title then make sure to emit the passed_title signal. + if line.next_id in resource.titles.values(): + passed_title.emit(resource.titles.find_key(line.next_id)) + + # If the responses come from a snippet then we need to come back here afterwards. + if next_line.type == DMConstants.TYPE_GOTO and next_line.is_snippet and not id_trail.begins_with("|" + next_line.next_id_after): + id_trail = "|" + next_line.next_id_after + id_trail + + # If the next line is a title then check where it points to see if that is a set of responses. + while [DMConstants.TYPE_TITLE, DMConstants.TYPE_GOTO].has(next_line.type) and resource.lines.has(next_line.next_id): + next_line = resource.lines.get(next_line.next_id) + + if next_line != null and next_line.type == DMConstants.TYPE_RESPONSE: + # Note: For some reason C# has occasional issues with using the responses property directly + # so instead we use set and get here. + line.set(&"responses", await _get_responses(next_line.get(&"responses", []), resource, id_trail, extra_game_states)) + + line.next_id = "|".join(stack) if line.next_id == DMConstants.ID_NULL else line.next_id + id_trail + return line + +## Replace any variables, etc in the text. +func get_resolved_line_data(data: Dictionary, extra_game_states: Array = []) -> DMResolvedLineData: + var text: String = translate(data) + + # Resolve variables + var text_replacements: Array[Dictionary] = data.get(&"text_replacements", [] as Array[Dictionary]) + if text_replacements.size() == 0 and "{{" in text: + # This line is translated but has expressions that didn't exist in the base text. + text_replacements = _expression_parser.extract_replacements(text, 0) + + for replacement in text_replacements: + if replacement.has("error"): + assert(false, "%s \"%s\"" % [DMConstants.get_error_message(replacement.get("error")), text]) + + var value = await _resolve(replacement.expression.duplicate(true), extra_game_states) + var index: int = text.find(replacement.value_in_text) + if index == -1: + # The replacement wasn't found but maybe the regular quotes have been replaced + # by special quotes while translating. + index = text.replace("“", "\"").replace("”", "\"").find(replacement.value_in_text) + if index > -1: + text = text.substr(0, index) + str(value) + text.substr(index + replacement.value_in_text.length()) + + var compilation: DMCompilation = DMCompilation.new() + + # Resolve random groups + for found in compilation.regex.INLINE_RANDOM_REGEX.search_all(text): + var options = found.get_string(&"options").split(&"|") + text = text.replace(&"[[%s]]" % found.get_string(&"options"), options[randi_range(0, options.size() - 1)]) + + # Do a pass on the markers to find any conditionals + var markers: DMResolvedLineData = DMResolvedLineData.new(text) + + # Resolve any conditionals and update marker positions as needed + if data.type in [DMConstants.TYPE_DIALOGUE, DMConstants.TYPE_RESPONSE]: + var resolved_text: String = markers.text + var conditionals: Array[RegExMatch] = compilation.regex.INLINE_CONDITIONALS_REGEX.search_all(resolved_text) + var replacements: Array = [] + for conditional in conditionals: + var condition_raw: String = conditional.strings[conditional.names.condition] + var body: String = conditional.strings[conditional.names.body] + var body_else: String = "" + if &"[else]" in body: + var bits = body.split(&"[else]") + body = bits[0] + body_else = bits[1] + var condition: Dictionary = compilation.extract_condition("if " + condition_raw, false, 0) + # If the condition fails then use the else of "" + if not await _check_condition({ condition = condition }, extra_game_states): + body = body_else + replacements.append({ + start = conditional.get_start(), + end = conditional.get_end(), + string = conditional.get_string(), + body = body + }) + + for i in range(replacements.size() - 1, -1, -1): + var r: Dictionary = replacements[i] + resolved_text = resolved_text.substr(0, r.start) + r.body + resolved_text.substr(r.end, 9999) + # Move any other markers now that the text has changed + var offset: int = r.end - r.start - r.body.length() + for key in [&"speeds", &"time"]: + if markers.get(key) == null: continue + var marker = markers.get(key) + var next_marker: Dictionary = {} + for index in marker: + if index < r.start: + next_marker[index] = marker[index] + elif index > r.start: + next_marker[index - offset] = marker[index] + markers.set(key, next_marker) + var mutations: Array[Array] = markers.mutations + var next_mutations: Array[Array] = [] + for mutation in mutations: + var index = mutation[0] + if index < r.start: + next_mutations.append(mutation) + elif index > r.start: + next_mutations.append([index - offset, mutation[1]]) + markers.mutations = next_mutations + + markers.text = resolved_text + + return markers + + +## Replace any variables, etc in the character name +func get_resolved_character(data: Dictionary, extra_game_states: Array = []) -> String: + var character: String = data.get(&"character", "") + + # Resolve variables + for replacement in data.get(&"character_replacements", []): + var value = await _resolve(replacement.expression.duplicate(true), extra_game_states) + var index: int = character.find(replacement.value_in_text) + if index > -1: + character = character.substr(0, index) + str(value) + character.substr(index + replacement.value_in_text.length()) + + # Resolve random groups + var random_regex: RegEx = RegEx.new() + random_regex.compile("\\[\\[(?.*?)\\]\\]") + for found in random_regex.search_all(character): + var options = found.get_string(&"options").split("|") + character = character.replace("[[%s]]" % found.get_string(&"options"), options[randi_range(0, options.size() - 1)]) + + return character + + +## Generate a dialogue resource on the fly from some text +func create_resource_from_text(text: String) -> Resource: + var result: DMCompilerResult = DMCompiler.compile_string(text, "") + + if result.errors.size() > 0: + printerr(DMConstants.translate(&"runtime.errors").format({ count = result.errors.size() })) + for error in result.errors: + printerr(DMConstants.translate(&"runtime.error_detail").format({ + line = error.line_number + 1, + message = DMConstants.get_error_message(error.error) + })) + assert(false, DMConstants.translate(&"runtime.errors_see_details").format({ count = result.errors.size() })) + + var resource: DialogueResource = DialogueResource.new() + resource.using_states = result.using_states + resource.titles = result.titles + resource.first_title = result.first_title + resource.character_names = result.character_names + resource.lines = result.lines + resource.raw_text = text + + return resource + + +#region Balloon helpers + + +## Show the example balloon +func show_example_dialogue_balloon(resource: DialogueResource, title: String = "", extra_game_states: Array = []) -> CanvasLayer: + var balloon: Node = load(_get_example_balloon_path()).instantiate() + _start_balloon.call_deferred(balloon, resource, title, extra_game_states) + return balloon + + +## Show the configured dialogue balloon +func show_dialogue_balloon(resource: DialogueResource, title: String = "", extra_game_states: Array = []) -> Node: + var balloon_path: String = DMSettings.get_setting(DMSettings.BALLOON_PATH, _get_example_balloon_path()) + if not ResourceLoader.exists(balloon_path): + balloon_path = _get_example_balloon_path() + return show_dialogue_balloon_scene(balloon_path, resource, title, extra_game_states) + + + +## Show the configured dialogue balloon +func show_chosen_dialogue_balloon(resource: DialogueResource, path: String, title: String = "", extra_game_states: Array = []) -> Node: + var balloon_path = _get_balloon_path(path) + return show_dialogue_balloon_scene(balloon_path, resource, title, extra_game_states) + + +## Show a given balloon scene +func show_dialogue_balloon_scene(balloon_scene, resource: DialogueResource, title: String = "", extra_game_states: Array = []) -> Node: + if balloon_scene is String: + balloon_scene = load(balloon_scene) + if balloon_scene is PackedScene: + balloon_scene = balloon_scene.instantiate() + + var balloon: Node = balloon_scene + _start_balloon.call_deferred(balloon, resource, title, extra_game_states) + return balloon + + +## Resolve a static line ID to an actual line ID +func static_id_to_line_id(resource: DialogueResource, static_id: String) -> String: + var ids = static_id_to_line_ids(resource, static_id) + if ids.size() == 0: return "" + return ids[0] + + +## Resolve a static line ID to any actual line IDs that match +func static_id_to_line_ids(resource: DialogueResource, static_id: String) -> PackedStringArray: + return resource.lines.values().filter(func(l): return l.get(&"translation_key", "") == static_id).map(func(l): return l.id) + + +# Call "start" on the given balloon. +func _start_balloon(balloon: Node, resource: DialogueResource, title: String, extra_game_states: Array) -> void: + get_current_scene.call().add_child(balloon) + + if balloon.has_method(&"start"): + balloon.start(resource, title, extra_game_states) + elif balloon.has_method(&"Start"): + balloon.Start(resource, title, extra_game_states) + else: + assert(false, DMConstants.translate(&"runtime.dialogue_balloon_missing_start_method")) + + dialogue_started.emit(resource) + bridge_dialogue_started.emit(resource) + + +# Get the path to the example balloon +func _get_example_balloon_path() -> String: + var is_small_window: bool = ProjectSettings.get_setting("display/window/size/viewport_width") < 400 + var balloon_path: String = "/example_balloon/small_example_balloon.tscn" if is_small_window else "/example_balloon/example_balloon.tscn" + return get_script().resource_path.get_base_dir() + balloon_path + +# Get the path to the example balloon +func _get_balloon_path(path: String) -> String: + #var is_small_window: bool = ProjectSettings.get_setting("display/window/size/viewport_width") < 400 + #var balloon_path: String = "/example_balloon/small_example_balloon.tscn" if is_small_window else "/example_balloon/example_balloon.tscn" + return get_script().resource_path.get_base_dir() + path + + + +#endregion + +#region dotnet bridge + + +func _get_dotnet_dialogue_manager() -> RefCounted: + if not is_instance_valid(_dotnet_dialogue_manager): + _dotnet_dialogue_manager = load(get_script().resource_path.get_base_dir() + "/DialogueManager.cs").new() + return _dotnet_dialogue_manager + + +func _bridge_get_new_instance() -> Node: + # For some reason duplicating the node with its signals doesn't work so we have to copy them over manually + var instance = new() + for s: Dictionary in dialogue_started.get_connections(): + instance.dialogue_started.connect(s.callable) + for s: Dictionary in passed_title.get_connections(): + instance.passed_title.connect(s.callable) + for s: Dictionary in got_dialogue.get_connections(): + instance.got_dialogue.connect(s.callable) + for s: Dictionary in mutated.get_connections(): + instance.mutated.connect(s.callable) + for s: Dictionary in dialogue_ended.get_connections(): + instance.dialogue_ended.connect(s.callable) + instance.get_current_scene = get_current_scene + return instance + + +func _bridge_get_next_dialogue_line(resource: DialogueResource, key: String, extra_game_states: Array = [], mutation_behaviour: int = DMConstants.MutationBehaviour.Wait) -> void: + # dotnet needs at least one await tick of the signal gets called too quickly + await Engine.get_main_loop().process_frame + var line = await _get_next_dialogue_line(resource, key, extra_game_states, mutation_behaviour) + bridge_get_next_dialogue_line_completed.emit(line) + if line == null: + # End the conversation + dialogue_ended.emit(resource) + + +func _bridge_get_line(resource: DialogueResource, key: String, extra_game_states: Array = []) -> void: + # dotnet needs at least one await tick of the signal gets called too quickly + await Engine.get_main_loop().process_frame + var line = await get_line(resource, key, extra_game_states) + bridge_get_line_completed.emit(line) + + +func _bridge_mutate(mutation: Dictionary, extra_game_states: Array, is_inline_mutation: bool = false) -> void: + await _mutate(mutation, extra_game_states, is_inline_mutation) + bridge_mutated.emit() + + +func _bridge_get_error_message(error: int) -> String: + return DMConstants.get_error_message(error) + + +#endregion + +#region Internal helpers + + +# Show a message or crash with error +func show_error_for_missing_state_value(message: String, will_show: bool = true) -> void: + if not will_show: return + + if DMSettings.get_setting(DMSettings.IGNORE_MISSING_STATE_VALUES, false): + push_error(message) + elif will_show: + # If you're here then you're missing a method or property in your game state. The error + # message down in the debugger will give you some more information. + assert(false, message) + + +# Translate a string +func translate(data: Dictionary) -> String: + if TranslationServer.get_loaded_locales().size() == 0 or translation_source == DMConstants.TranslationSource.None: + return data.text + + var translation_key: String = data.get(&"translation_key", data.text) + + if translation_key == "" or translation_key == data.text: + return tr(data.text) + else: + # Line IDs work slightly differently depending on whether the translation came from a + # CSV or a PO file. CSVs use the line ID (or the line itself) as the translatable string + # whereas POs use the ID as context and the line itself as the translatable string. + match translation_source: + DMConstants.TranslationSource.PO: + return tr(data.text, StringName(translation_key)) + + DMConstants.TranslationSource.CSV: + return tr(translation_key) + + DMConstants.TranslationSource.Guess: + var translation_files: Array = ProjectSettings.get_setting(&"internationalization/locale/translations") + if translation_files.filter(func(f: String): return f.get_extension() in [&"po", &"mo"]).size() > 0: + # Assume PO + return tr(data.text, StringName(translation_key)) + else: + # Assume CSV + return tr(translation_key) + + return tr(translation_key) + + +# Create a line of dialogue +func create_dialogue_line(data: Dictionary, extra_game_states: Array) -> DialogueLine: + match data.type: + DMConstants.TYPE_DIALOGUE: + var resolved_data: DMResolvedLineData = await get_resolved_line_data(data, extra_game_states) + return DialogueLine.new({ + id = data.get(&"id", ""), + type = DMConstants.TYPE_DIALOGUE, + next_id = data.next_id, + character = await get_resolved_character(data, extra_game_states), + character_replacements = data.get(&"character_replacements", [] as Array[Dictionary]), + text = resolved_data.text, + text_replacements = data.get(&"text_replacements", [] as Array[Dictionary]), + translation_key = data.get(&"translation_key", data.text), + speeds = resolved_data.speeds, + inline_mutations = resolved_data.mutations, + time = resolved_data.time, + tags = data.get(&"tags", []), + extra_game_states = extra_game_states + }) + + DMConstants.TYPE_RESPONSE: + return DialogueLine.new({ + id = data.get(&"id", ""), + type = DMConstants.TYPE_RESPONSE, + next_id = data.next_id, + tags = data.get(&"tags", []), + extra_game_states = extra_game_states + }) + + DMConstants.TYPE_MUTATION: + return DialogueLine.new({ + id = data.get(&"id", ""), + type = DMConstants.TYPE_MUTATION, + next_id = data.next_id, + mutation = data.mutation, + extra_game_states = extra_game_states + }) + + return null + + +# Create a response +func create_response(data: Dictionary, extra_game_states: Array) -> DialogueResponse: + var resolved_data: DMResolvedLineData = await get_resolved_line_data(data, extra_game_states) + return DialogueResponse.new({ + id = data.get(&"id", ""), + type = DMConstants.TYPE_RESPONSE, + next_id = data.next_id, + is_allowed = data.is_allowed, + condition_as_text = data.get(&"condition_as_text", ""), + character = await get_resolved_character(data, extra_game_states), + character_replacements = data.get(&"character_replacements", [] as Array[Dictionary]), + text = resolved_data.text, + text_replacements = data.get(&"text_replacements", [] as Array[Dictionary]), + tags = data.get(&"tags", []), + translation_key = data.get(&"translation_key", data.text), + }) + + +# Get the current game states +func _get_game_states(extra_game_states: Array) -> Array: + if not _has_loaded_autoloads: + _has_loaded_autoloads = true + # Add any autoloads to a generic state so we can refer to them by name + for child in Engine.get_main_loop().root.get_children(): + # Ignore the dialogue manager + if child.name == &"DialogueManager": continue + # Ignore the current main scene + if Engine.get_main_loop().current_scene and child.name == Engine.get_main_loop().current_scene.name: continue + # Add the node to our known autoloads + _autoloads[child.name] = child + game_states = [_autoloads] + # Add any other state shortcuts from settings + for node_name in DMSettings.get_setting(DMSettings.STATE_AUTOLOAD_SHORTCUTS, ""): + var state: Node = Engine.get_main_loop().root.get_node_or_null(NodePath(node_name)) + if state: + game_states.append(state) + + var current_scene: Node = get_current_scene.call() + var unique_states: Array = [] + for state in extra_game_states + [current_scene] + game_states: + if state != null and not unique_states.has(state): + unique_states.append(state) + return unique_states + + +# Check if a condition is met +func _check_condition(data: Dictionary, extra_game_states: Array) -> bool: + return bool(await _resolve_condition_value(data, extra_game_states)) + + +# Resolve a condition's expression value +func _resolve_condition_value(data: Dictionary, extra_game_states: Array) -> Variant: + if data.get(&"condition", null) == null: return true + if data.condition.is_empty(): return true + + return await _resolve(data.condition.expression.duplicate(true), extra_game_states) + + +# Check if a match value matches a case value +func _check_case_value(match_value: Variant, data: Dictionary, extra_game_states: Array) -> bool: + if data.get(&"condition", null) == null: return true + if data.condition.is_empty(): return true + + var expression: Array[Dictionary] = data.condition.expression.duplicate(true) + + # Check for multiple values + var expressions_to_check: Array = [] + var previous_comma_index: int = 0 + for i in range(0, expression.size()): + if expression[i].type == DMConstants.TOKEN_COMMA: + expressions_to_check.append(expression.slice(previous_comma_index, i)) + previous_comma_index = i + 1 + elif i == expression.size() - 1: + expressions_to_check.append(expression.slice(previous_comma_index)) + + for expression_to_check in expressions_to_check: + # If the when is a comparison when insert the match value as the first value to compare to + var already_compared: bool = false + if expression_to_check[0].type == DMConstants.TOKEN_COMPARISON: + expression_to_check.insert(0, { + type = DMConstants.TOKEN_VALUE, + value = match_value + }) + already_compared = true + + var resolved_value = await _resolve(expression_to_check, extra_game_states) + if already_compared: + if resolved_value: + return true + else: + if match_value == resolved_value: + return true + + return false + + + +# Make a change to game state or run a method +func _mutate(mutation: Dictionary, extra_game_states: Array, is_inline_mutation: bool = false) -> void: + var expression: Array[Dictionary] = mutation.expression + + # Handle built in mutations + if expression[0].type == DMConstants.TOKEN_FUNCTION and expression[0].function in [&"wait", &"Wait", &"debug", &"Debug"]: + var args: Array = await _resolve_each(expression[0].value, extra_game_states) + match expression[0].function: + &"wait", &"Wait": + mutated.emit(mutation.merged({ is_inline = is_inline_mutation })) + if [TYPE_FLOAT, TYPE_INT].has(typeof(args[0])): + await Engine.get_main_loop().create_timer(float(args[0])).timeout + else: + var actions: PackedStringArray = PackedStringArray(args[0] if typeof(args[0]) == TYPE_ARRAY else [args[0]]) + await _wait_for(actions) + return + + &"debug", &"Debug": + prints("Debug:", args) + await Engine.get_main_loop().process_frame + + # Or pass through to the resolver + else: + if not _mutation_contains_assignment(mutation.expression) and not is_inline_mutation: + mutated.emit(mutation.merged({ is_inline = is_inline_mutation })) + + if mutation.get("is_blocking", true): + await _resolve(mutation.expression.duplicate(true), extra_game_states) + return + else: + _resolve(mutation.expression.duplicate(true), extra_game_states) + + # Wait one frame to give the dialogue handler a chance to yield + await Engine.get_main_loop().process_frame + + +# Wait for a given action +func _wait_for(actions: PackedStringArray) -> void: + var waiter = DMWaiter.new(actions) + add_child(waiter) + await waiter.waited + waiter.queue_free() + + +# Check if a mutation contains an assignment token. +func _mutation_contains_assignment(mutation: Array) -> bool: + for token in mutation: + if token.type == DMConstants.TOKEN_ASSIGNMENT: + return true + return false + + +# Replace an array of line IDs with their response prompts +func _get_responses(ids: Array, resource: DialogueResource, id_trail: String, extra_game_states: Array) -> Array[DialogueResponse]: + var responses: Array[DialogueResponse] = [] + for id in ids: + var data: Dictionary = resource.lines.get(id).duplicate(true) + data.is_allowed = await _check_condition(data, extra_game_states) + var response: DialogueResponse = await create_response(data, extra_game_states) + response.next_id += id_trail + responses.append(response) + + return responses + + +# Get a value on the current scene or game state +func _get_state_value(property: String, extra_game_states: Array): + # Special case for static primitive calls + if property == "Color": + return Color() + elif property == "Vector2": + return Vector2.ZERO + elif property == "Vector3": + return Vector3.ZERO + elif property == "Vector4": + return Vector4.ZERO + elif property == "Quaternion": + return Quaternion() + + var expression = Expression.new() + if expression.parse(property) != OK: + assert(false, DMConstants.translate(&"runtime.invalid_expression").format({ expression = property, error = expression.get_error_text() })) + + # Warn about possible name collisions + _warn_about_state_name_collisions(property, extra_game_states) + + for state in _get_game_states(extra_game_states): + if typeof(state) == TYPE_DICTIONARY: + if state.has(property): + return state.get(property) + else: + # Try for a C# constant first + if state.get_script() \ + and state.get_script().resource_path.ends_with(".cs") \ + and _get_dotnet_dialogue_manager().ThingHasConstant(state, property): + return _get_dotnet_dialogue_manager().ResolveThingConstant(state, property) + + # Otherwise just let Godot try and resolve it. + var result = expression.execute([], state, false) + if not expression.has_execute_failed(): + return result + + if include_singletons and Engine.has_singleton(property): + return Engine.get_singleton(property) + + if include_classes: + for class_data in ProjectSettings.get_global_class_list(): + if class_data.get(&"class") == property: + return load(class_data.path) + + show_error_for_missing_state_value(DMConstants.translate(&"runtime.property_not_found").format({ property = property, states = _get_state_shortcut_names(extra_game_states) })) + + +# Print warnings for top-level state name collisions. +func _warn_about_state_name_collisions(target_key: String, extra_game_states: Array) -> void: + # Don't run the check if this is a release build + if not OS.is_debug_build(): return + # Also don't run if the setting is off + if not DMSettings.get_setting(DMSettings.WARN_ABOUT_METHOD_PROPERTY_OR_SIGNAL_NAME_CONFLICTS, false): return + + # Get the list of state shortcuts. + var state_shortcuts: Array = [] + for node_name in DMSettings.get_setting(DMSettings.STATE_AUTOLOAD_SHORTCUTS, ""): + var state: Node = Engine.get_main_loop().root.get_node_or_null(NodePath(node_name)) + if state: + state_shortcuts.append(state) + + # Check any top level names for a collision + var states_with_key: Array = [] + for state in extra_game_states + [get_current_scene.call()] + state_shortcuts: + if state is Dictionary: + if state.keys().has(target_key): + states_with_key.append("Dictionary") + else: + var script: Script = (state as Object).get_script() + if script == null: + continue + + for method in script.get_script_method_list(): + if method.name == target_key and not states_with_key.has(state.name): + states_with_key.append(state.name) + break + + for property in script.get_script_property_list(): + if property.name == target_key and not states_with_key.has(state.name): + states_with_key.append(state.name) + break + + for signal_info in script.get_script_signal_list(): + if signal_info.name == target_key and not states_with_key.has(state.name): + states_with_key.append(state.name) + break + + if states_with_key.size() > 1: + push_warning(DMConstants.translate(&"runtime.top_level_states_share_name").format({ states = ", ".join(states_with_key), key = target_key })) + + +# Set a value on the current scene or game state +func _set_state_value(property: String, value, extra_game_states: Array) -> void: + for state in _get_game_states(extra_game_states): + if typeof(state) == TYPE_DICTIONARY: + if state.has(property): + state[property] = value + return + elif _thing_has_property(state, property): + state.set(property, value) + return + + if property.to_snake_case() != property: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.property_not_found_missing_export").format({ property = property, states = _get_state_shortcut_names(extra_game_states) })) + else: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.property_not_found").format({ property = property, states = _get_state_shortcut_names(extra_game_states) })) + + +# Get the list of state shortcut names +func _get_state_shortcut_names(extra_game_states: Array) -> String: + var states = _get_game_states(extra_game_states) + states.erase(_autoloads) + return ", ".join(states.map(func(s): return "\"%s\"" % (s.name if "name" in s else s))) + + +# Resolve an array of expressions. +func _resolve_each(array: Array, extra_game_states: Array) -> Array: + var results: Array = [] + for item in array: + if not item[0].type in [DMConstants.TOKEN_BRACE_CLOSE, DMConstants.TOKEN_BRACKET_CLOSE, DMConstants.TOKEN_PARENS_CLOSE]: + results.append(await _resolve(item.duplicate(true), extra_game_states)) + return results + + +# Collapse any expressions +func _resolve(tokens: Array, extra_game_states: Array): + var i: int = 0 + var limit: int = 0 + + # Handle groups first + for token in tokens: + if token.type == DMConstants.TOKEN_GROUP: + token.type = DMConstants.TOKEN_VALUE + token.value = await _resolve(token.value, extra_game_states) + + # Then variables/methods + i = 0 + limit = 0 + while i < tokens.size() and limit < 1000: + limit += 1 + var token: Dictionary = tokens[i] + + if token.type == DMConstants.TOKEN_NULL_COALESCE: + var caller: Dictionary = tokens[i - 1] + if caller.value == null: + # If the caller is null then the method/property is also null + caller.type = DMConstants.TOKEN_VALUE + caller.value = null + tokens.remove_at(i + 1) + tokens.remove_at(i) + else: + token.type = DMConstants.TOKEN_DOT + + elif token.type == DMConstants.TOKEN_FUNCTION: + var function_name: String = token.function + var args = await _resolve_each(token.value, extra_game_states) + if tokens[i - 1].type == DMConstants.TOKEN_DOT: + # If we are calling a deeper function then we need to collapse the + # value into the thing we are calling the function on + var caller: Dictionary = tokens[i - 2] + if Builtins.is_supported(caller.value): + caller.type = DMConstants.TOKEN_VALUE + caller.value = Builtins.resolve_method(caller.value, function_name, args) + tokens.remove_at(i) + tokens.remove_at(i - 1) + i -= 2 + elif _thing_has_method(caller.value, function_name, args): + caller.type = DMConstants.TOKEN_VALUE + caller.value = await _resolve_thing_method(caller.value, function_name, args) + tokens.remove_at(i) + tokens.remove_at(i - 1) + i -= 2 + else: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.method_not_callable").format({ method = function_name, object = str(caller.value) })) + else: + var found: bool = false + match function_name: + &"str": + token.type = DMConstants.TOKEN_VALUE + token.value = str(args[0]) + found = true + &"Vector2": + token.type = DMConstants.TOKEN_VALUE + token.value = Vector2(args[0], args[1]) + found = true + &"Vector2i": + token.type = DMConstants.TOKEN_VALUE + token.value = Vector2i(args[0], args[1]) + found = true + &"Vector3": + token.type = DMConstants.TOKEN_VALUE + token.value = Vector3(args[0], args[1], args[2]) + found = true + &"Vector3i": + token.type = DMConstants.TOKEN_VALUE + token.value = Vector3i(args[0], args[1], args[2]) + found = true + &"Vector4": + token.type = DMConstants.TOKEN_VALUE + token.value = Vector4(args[0], args[1], args[2], args[3]) + found = true + &"Vector4i": + token.type = DMConstants.TOKEN_VALUE + token.value = Vector4i(args[0], args[1], args[2], args[3]) + found = true + &"Quaternion": + token.type = DMConstants.TOKEN_VALUE + token.value = Quaternion(args[0], args[1], args[2], args[3]) + found = true + &"Callable": + token.type = DMConstants.TOKEN_VALUE + match args.size(): + 0: + token.value = Callable() + 1: + token.value = Callable(args[0]) + 2: + token.value = Callable(args[0], args[1]) + found = true + &"Color": + token.type = DMConstants.TOKEN_VALUE + match args.size(): + 0: + token.value = Color() + 1: + token.value = Color(args[0]) + 2: + token.value = Color(args[0], args[1]) + 3: + token.value = Color(args[0], args[1], args[2]) + 4: + token.value = Color(args[0], args[1], args[2], args[3]) + found = true + &"load", &"Load": + token.type = DMConstants.TOKEN_VALUE + token.value = load(args[0]) + found = true + &"roll_dice", &"RollDice": + token.type = DMConstants.TOKEN_VALUE + token.value = randi_range(1, args[0]) + found = true + _: + # Check for top level name conflicts + _warn_about_state_name_collisions(function_name, extra_game_states) + + for state in _get_game_states(extra_game_states): + if _thing_has_method(state, function_name, args): + token.type = DMConstants.TOKEN_VALUE + token.value = await _resolve_thing_method(state, function_name, args) + found = true + break + + show_error_for_missing_state_value(DMConstants.translate(&"runtime.method_not_found").format({ + method = args[0] if function_name in ["call", "call_deferred"] else function_name, + states = _get_state_shortcut_names(extra_game_states) + }), not found) + + elif token.type == DMConstants.TOKEN_DICTIONARY_REFERENCE: + var value + if i > 0 and tokens[i - 1].type == DMConstants.TOKEN_DOT: + # If we are deep referencing then we need to get the parent object. + # `parent.value` is the actual object and `token.variable` is the name of + # the property within it. + value = tokens[i - 2].value[token.variable] + # Clean up the previous tokens + token.erase("variable") + tokens.remove_at(i - 1) + tokens.remove_at(i - 2) + i -= 2 + else: + # Otherwise we can just get this variable as a normal state reference + value = _get_state_value(token.variable, extra_game_states) + + var index = await _resolve(token.value, extra_game_states) + if typeof(value) == TYPE_DICTIONARY: + if tokens.size() > i + 1 and tokens[i + 1].type == DMConstants.TOKEN_ASSIGNMENT: + # If the next token is an assignment then we need to leave this as a reference + # so that it can be resolved once everything ahead of it has been resolved + token.type = "dictionary" + token.value = value + token.key = index + else: + if value.has(index): + token.type = DMConstants.TOKEN_VALUE + token.value = value[index] + else: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.key_not_found").format({ key = str(index), dictionary = token.variable })) + elif typeof(value) in [TYPE_ARRAY, TYPE_PACKED_STRING_ARRAY, TYPE_PACKED_INT32_ARRAY, TYPE_PACKED_INT64_ARRAY, TYPE_PACKED_BYTE_ARRAY, TYPE_PACKED_COLOR_ARRAY, TYPE_PACKED_FLOAT32_ARRAY, TYPE_PACKED_FLOAT64_ARRAY]: + if tokens.size() > i + 1 and tokens[i + 1].type == DMConstants.TOKEN_ASSIGNMENT: + # If the next token is an assignment then we need to leave this as a reference + # so that it can be resolved once everything ahead of it has been resolved + token.type = "array" + token.value = value + token.key = index + else: + if index >= 0 and index < value.size(): + token.type = DMConstants.TOKEN_VALUE + token.value = value[index] + else: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.array_index_out_of_bounds").format({ index = index, array = token.variable })) + + elif token.type == DMConstants.TOKEN_DICTIONARY_NESTED_REFERENCE: + var dictionary: Dictionary = tokens[i - 1] + var index = await _resolve(token.value, extra_game_states) + var value = dictionary.value + if typeof(value) == TYPE_DICTIONARY: + if tokens.size() > i + 1 and tokens[i + 1].type == DMConstants.TOKEN_ASSIGNMENT: + # If the next token is an assignment then we need to leave this as a reference + # so that it can be resolved once everything ahead of it has been resolved + dictionary.type = "dictionary" + dictionary.key = index + dictionary.value = value + tokens.remove_at(i) + i -= 1 + else: + if dictionary.value.has(index): + dictionary.value = value.get(index) + tokens.remove_at(i) + i -= 1 + else: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.key_not_found").format({ key = str(index), dictionary = value })) + elif typeof(value) == TYPE_ARRAY: + if tokens.size() > i + 1 and tokens[i + 1].type == DMConstants.TOKEN_ASSIGNMENT: + # If the next token is an assignment then we need to leave this as a reference + # so that it can be resolved once everything ahead of it has been resolved + dictionary.type = "array" + dictionary.value = value + dictionary.key = index + tokens.remove_at(i) + i -= 1 + else: + if index >= 0 and index < value.size(): + dictionary.value = value[index] + tokens.remove_at(i) + i -= 1 + else: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.array_index_out_of_bounds").format({ index = index, array = value })) + + elif token.type == DMConstants.TOKEN_ARRAY: + token.type = DMConstants.TOKEN_VALUE + token.value = await _resolve_each(token.value, extra_game_states) + + elif token.type == DMConstants.TOKEN_DICTIONARY: + token.type = DMConstants.TOKEN_VALUE + var dictionary = {} + for key in token.value.keys(): + var resolved_key = await _resolve([key], extra_game_states) + var preresolved_value = token.value.get(key) + if typeof(preresolved_value) != TYPE_ARRAY: + preresolved_value = [preresolved_value] + var resolved_value = await _resolve(preresolved_value, extra_game_states) + dictionary[resolved_key] = resolved_value + token.value = dictionary + + elif token.type == DMConstants.TOKEN_VARIABLE or token.type == DMConstants.TOKEN_NUMBER: + if str(token.value) == "null": + token.type = DMConstants.TOKEN_VALUE + token.value = null + elif str(token.value) == "self": + token.type = DMConstants.TOKEN_VALUE + token.value = extra_game_states[0].self + elif tokens[i - 1].type == DMConstants.TOKEN_DOT: + var caller: Dictionary = tokens[i - 2] + var property = token.value + if tokens.size() > i + 1 and tokens[i + 1].type == DMConstants.TOKEN_ASSIGNMENT: + # If the next token is an assignment then we need to leave this as a reference + # so that it can be resolved once everything ahead of it has been resolved + caller.type = "property" + caller.property = property + else: + # If we are requesting a deeper property then we need to collapse the + # value into the thing we are referencing from + caller.type = DMConstants.TOKEN_VALUE + if Builtins.is_supported(caller.value): + caller.value = Builtins.resolve_property(caller.value, property) + else: + caller.value = caller.value.get(property) + tokens.remove_at(i) + tokens.remove_at(i - 1) + i -= 2 + elif tokens.size() > i + 1 and tokens[i + 1].type == DMConstants.TOKEN_ASSIGNMENT: + # It's a normal variable but we will be assigning to it so don't resolve + # it until everything after it has been resolved + token.type = "variable" + else: + if token.type == DMConstants.TOKEN_NUMBER: + token.type = DMConstants.TOKEN_VALUE + token.value = token.value + else: + token.type = DMConstants.TOKEN_VALUE + token.value = _get_state_value(str(token.value), extra_game_states) + + i += 1 + + # Then multiply and divide + i = 0 + limit = 0 + while i < tokens.size() and limit < 1000: + limit += 1 + var token: Dictionary = tokens[i] + if token.type == DMConstants.TOKEN_OPERATOR and token.value in ["*", "/", "%"]: + token.type = DMConstants.TOKEN_VALUE + token.value = _apply_operation(token.value, tokens[i - 1].value, tokens[i + 1].value) + tokens.remove_at(i + 1) + tokens.remove_at(i - 1) + i -= 1 + i += 1 + + if limit >= 1000: + assert(false, DMConstants.translate(&"runtime.something_went_wrong")) + + # Then addition and subtraction + i = 0 + limit = 0 + while i < tokens.size() and limit < 1000: + limit += 1 + var token: Dictionary = tokens[i] + if token.type == DMConstants.TOKEN_OPERATOR and token.value in ["+", "-"]: + token.type = DMConstants.TOKEN_VALUE + token.value = _apply_operation(token.value, tokens[i - 1].value, tokens[i + 1].value) + tokens.remove_at(i + 1) + tokens.remove_at(i - 1) + i -= 1 + i += 1 + + if limit >= 1000: + assert(false, DMConstants.translate(&"runtime.something_went_wrong")) + + # Then negations + i = 0 + limit = 0 + while i < tokens.size() and limit < 1000: + limit += 1 + var token: Dictionary = tokens[i] + if token.type == DMConstants.TOKEN_NOT: + token.type = DMConstants.TOKEN_VALUE + token.value = not tokens[i + 1].value + tokens.remove_at(i + 1) + i -= 1 + i += 1 + + if limit >= 1000: + assert(false, DMConstants.translate(&"runtime.something_went_wrong")) + + # Then comparisons + i = 0 + limit = 0 + while i < tokens.size() and limit < 1000: + limit += 1 + var token: Dictionary = tokens[i] + if token.type == DMConstants.TOKEN_COMPARISON: + token.type = DMConstants.TOKEN_VALUE + token.value = _compare(token.value, tokens[i - 1].value, tokens[i + 1].value) + tokens.remove_at(i + 1) + tokens.remove_at(i - 1) + i -= 1 + i += 1 + + if limit >= 1000: + assert(false, DMConstants.translate(&"runtime.something_went_wrong")) + + # Then and/or + i = 0 + limit = 0 + while i < tokens.size() and limit < 1000: + limit += 1 + var token: Dictionary = tokens[i] + if token.type == DMConstants.TOKEN_AND_OR: + token.type = DMConstants.TOKEN_VALUE + token.value = _apply_operation(token.value, tokens[i - 1].value, tokens[i + 1].value) + tokens.remove_at(i + 1) + tokens.remove_at(i - 1) + i -= 1 + i += 1 + + if limit >= 1000: + assert(false, DMConstants.translate(&"runtime.something_went_wrong")) + + # Lastly, resolve any assignments + i = 0 + limit = 0 + while i < tokens.size() and limit < 1000: + limit += 1 + var token: Dictionary = tokens[i] + if token.type == DMConstants.TOKEN_ASSIGNMENT: + var lhs: Dictionary = tokens[i - 1] + var value + + match lhs.type: + &"variable": + value = _apply_operation(token.value, _get_state_value(lhs.value, extra_game_states), tokens[i + 1].value) + _set_state_value(lhs.value, value, extra_game_states) + &"property": + value = _apply_operation(token.value, lhs.value.get(lhs.property), tokens[i + 1].value) + if typeof(lhs.value) == TYPE_DICTIONARY: + lhs.value[lhs.property] = value + else: + lhs.value.set(lhs.property, value) + &"dictionary": + value = _apply_operation(token.value, lhs.value.get(lhs.key, null), tokens[i + 1].value) + lhs.value[lhs.key] = value + &"array": + show_error_for_missing_state_value( + DMConstants.translate(&"runtime.array_index_out_of_bounds").format({ index = lhs.key, array = lhs.value }), + lhs.key >= lhs.value.size() + ) + value = _apply_operation(token.value, lhs.value[lhs.key], tokens[i + 1].value) + lhs.value[lhs.key] = value + _: + show_error_for_missing_state_value(DMConstants.translate(&"runtime.left_hand_size_cannot_be_assigned_to")) + + token.type = DMConstants.TOKEN_VALUE + token.value = value + tokens.remove_at(i + 1) + tokens.remove_at(i - 1) + i -= 1 + i += 1 + + if limit >= 1000: + assert(false, DMConstants.translate(&"runtime.something_went_wrong")) + + return tokens[0].value + + +# Compare two values. +func _compare(operator: String, first_value, second_value) -> bool: + match operator: + &"in": + if first_value == null or second_value == null: + return false + else: + return first_value in second_value + &"<": + if first_value == null: + return true + elif second_value == null: + return false + else: + return first_value < second_value + &">": + if first_value == null: + return false + elif second_value == null: + return true + else: + return first_value > second_value + &"<=": + if first_value == null: + return true + elif second_value == null: + return false + else: + return first_value <= second_value + &">=": + if first_value == null: + return false + elif second_value == null: + return true + else: + return first_value >= second_value + &"==": + if first_value == null: + if typeof(second_value) == TYPE_BOOL: + return second_value == false + else: + return second_value == null + else: + return first_value == second_value + &"!=": + if first_value == null: + if typeof(second_value) == TYPE_BOOL: + return second_value == true + else: + return second_value != null + else: + return first_value != second_value + + return false + + +# Apply an operation from one value to another. +func _apply_operation(operator: String, first_value, second_value): + match operator: + &"=": + return second_value + &"+", &"+=": + return first_value + second_value + &"-", &"-=": + return first_value - second_value + &"/", &"/=": + return first_value / second_value + &"*", &"*=": + return first_value * second_value + &"%": + return first_value % second_value + &"and": + return first_value and second_value + &"or": + return first_value or second_value + + assert(false, DMConstants.translate(&"runtime.unknown_operator")) + + +# Check if a dialogue line contains meaningful information. +func _is_valid(line: DialogueLine) -> bool: + if line == null: + return false + if line.type == DMConstants.TYPE_MUTATION and line.mutation == null: + return false + if line.type == DMConstants.TYPE_RESPONSE and line.get(&"responses").size() == 0: + return false + return true + + +# Check that a thing has a given method. +func _thing_has_method(thing, method: String, args: Array) -> bool: + if not is_instance_valid(thing): + return false + + if Builtins.is_supported(thing, method): + return thing != _autoloads + elif thing is Dictionary: + return false + + if method in [&"call", &"call_deferred"]: + return thing.has_method(args[0]) + + if method == &"emit_signal": + return thing.has_signal(args[0]) + + if thing.has_method(method): + return true + + if thing.get_script() and thing.get_script().resource_path.ends_with(".cs"): + # If we get this far then the method might be a C# method with a Task return type + return _get_dotnet_dialogue_manager().ThingHasMethod(thing, method, args) + + return false + + +# Check if a given property exists +func _thing_has_property(thing: Object, property: String) -> bool: + if thing == null: + return false + + for p in thing.get_property_list(): + if _node_properties.has(p.name): + # Ignore any properties on the base Node + continue + if p.name == property: + return true + + if thing.get_script() and thing.get_script().resource_path.ends_with(".cs"): + # If we get this far then the property might be a C# constant. + return _get_dotnet_dialogue_manager().ThingHasConstant(thing, property) + + return false + + +func _get_method_info_for(thing: Variant, method: String, args: Array) -> Dictionary: + # Use the thing instance id as a key for the caching dictionary. + var thing_instance_id: int = thing.get_instance_id() + if not _method_info_cache.has(thing_instance_id): + var methods: Dictionary = {} + for m in thing.get_method_list(): + methods["%s:%d" % [m.name, m.args.size()]] = m + if not methods.has(m.name): + methods[m.name] = m + _method_info_cache[thing_instance_id] = methods + + var methods: Dictionary = _method_info_cache.get(thing_instance_id, {}) + var method_key: String = "%s:%d" % [method, args.size()] + if methods.has(method_key): + return methods.get(method_key) + elif methods.has(method): + return methods.get(method) + else: + return _get_method_info_for(thing.new(), method, args) + + +func _resolve_thing_method(thing, method: String, args: Array): + if Builtins.is_supported(thing): + var result = Builtins.resolve_method(thing, method, args) + if not Builtins.has_resolve_method_failed(): + return result + + if thing.has_method(method): + # Try to convert any literals to the right type + var method_info: Dictionary = _get_method_info_for(thing, method, args) + var method_args: Array = method_info.args + if method_info.flags & METHOD_FLAG_VARARG == 0 and method_args.size() < args.size(): + assert(false, DMConstants.translate(&"runtime.expected_n_got_n_args").format({ expected = method_args.size(), method = method, received = args.size()})) + for i in range(0, min(method_args.size(), args.size())): + var m: Dictionary = method_args[i] + var to_type: int = typeof(args[i]) + if m.type == TYPE_ARRAY: + match m.hint_string: + &"String": + to_type = TYPE_PACKED_STRING_ARRAY + &"int": + to_type = TYPE_PACKED_INT64_ARRAY + &"float": + to_type = TYPE_PACKED_FLOAT64_ARRAY + &"Vector2": + to_type = TYPE_PACKED_VECTOR2_ARRAY + &"Vector3": + to_type = TYPE_PACKED_VECTOR3_ARRAY + _: + if m.hint_string != "": + assert(false, DMConstants.translate(&"runtime.unsupported_array_type").format({ type = m.hint_string})) + if typeof(args[i]) != to_type: + args[i] = convert(args[i], to_type) + + return await thing.callv(method, args) + + # If we get here then it's probably a C# method with a Task return type + var dotnet_dialogue_manager = _get_dotnet_dialogue_manager() + dotnet_dialogue_manager.ResolveThingMethod(thing, method, args) + return await dotnet_dialogue_manager.Resolved diff --git a/addons/dialogue_manager/dialogue_manager.gd.uid b/addons/dialogue_manager/dialogue_manager.gd.uid new file mode 100644 index 0000000..d10762e --- /dev/null +++ b/addons/dialogue_manager/dialogue_manager.gd.uid @@ -0,0 +1 @@ +uid://c3rodes2l3gxb diff --git a/addons/dialogue_manager/dialogue_processor.gd b/addons/dialogue_manager/dialogue_processor.gd new file mode 100644 index 0000000..5de3e9c --- /dev/null +++ b/addons/dialogue_manager/dialogue_processor.gd @@ -0,0 +1,11 @@ +class_name DMDialogueProcessor extends RefCounted + + +## Override to modify the incoming raw string. +func _preprocess_line(raw_line: String) -> String: + return raw_line + + +## Override to modify the outgoing dialogue line. +func _process_line(line: DMCompiledLine) -> void: + pass diff --git a/addons/dialogue_manager/dialogue_processor.gd.uid b/addons/dialogue_manager/dialogue_processor.gd.uid new file mode 100644 index 0000000..a96cc19 --- /dev/null +++ b/addons/dialogue_manager/dialogue_processor.gd.uid @@ -0,0 +1 @@ +uid://m3b28rmso14t diff --git a/addons/dialogue_manager/dialogue_resource.gd b/addons/dialogue_manager/dialogue_resource.gd new file mode 100644 index 0000000..29ade7b --- /dev/null +++ b/addons/dialogue_manager/dialogue_resource.gd @@ -0,0 +1,42 @@ +@tool +@icon("./assets/icon.svg") + +## A collection of dialogue lines for use with [code]DialogueManager[/code]. +class_name DialogueResource extends Resource + + +const DialogueLine = preload("./dialogue_line.gd") + +## A list of state shortcuts +@export var using_states: PackedStringArray = [] + +## A map of titles and the lines they point to. +@export var titles: Dictionary = {} + +## A list of character names. +@export var character_names: PackedStringArray = [] + +## The first title in the file. +@export var first_title: String = "" + +## A map of the encoded lines of dialogue. +@export var lines: Dictionary = {} + +## raw version of the text +@export var raw_text: String + + +## Get the next printable line of dialogue, starting from a referenced line ([code]title[/code] can +## be a title string or a stringified line number). Runs any mutations along the way and then returns +## the first dialogue line encountered. +func get_next_dialogue_line(title: String = "", extra_game_states: Array = [], mutation_behaviour: DMConstants.MutationBehaviour = DMConstants.MutationBehaviour.Wait) -> DialogueLine: + return await Engine.get_singleton("DialogueManager").get_next_dialogue_line(self, title, extra_game_states, mutation_behaviour) + + +## Get the list of any titles found in the file. +func get_titles() -> PackedStringArray: + return titles.keys() + + +func _to_string() -> String: + return "" % [",".join(titles.keys())] diff --git a/addons/dialogue_manager/dialogue_resource.gd.uid b/addons/dialogue_manager/dialogue_resource.gd.uid new file mode 100644 index 0000000..27b95d0 --- /dev/null +++ b/addons/dialogue_manager/dialogue_resource.gd.uid @@ -0,0 +1 @@ +uid://dbs4435dsf3ry diff --git a/addons/dialogue_manager/dialogue_response.gd b/addons/dialogue_manager/dialogue_response.gd new file mode 100644 index 0000000..479b81c --- /dev/null +++ b/addons/dialogue_manager/dialogue_response.gd @@ -0,0 +1,63 @@ +## A response to a line of dialogue, usualy attached to a [code]DialogueLine[/code]. +class_name DialogueResponse extends RefCounted + + +## The ID of this response +var id: String + +## The internal type of this dialogue object, always set to [code]TYPE_RESPONSE[/code]. +var type: String = DMConstants.TYPE_RESPONSE + +## The next line ID to use if this response is selected by the player. +var next_id: String = "" + +## [code]true[/code] if the condition of this line was met. +var is_allowed: bool = true + +## The original condition text. +var condition_as_text: String = "" + +## A character (depending on the "characters in responses" behaviour setting). +var character: String = "" + +## A dictionary of varialbe replaces for the character name. Generally for internal use only. +var character_replacements: Array[Dictionary] = [] + +## The prompt for this response. +var text: String = "" + +## A dictionary of variable replaces for the text. Generally for internal use only. +var text_replacements: Array[Dictionary] = [] + +## Any #tags +var tags: PackedStringArray = [] + +## The key to use for translating the text. +var translation_key: String = "" + + +func _init(data: Dictionary = {}) -> void: + if data.size() > 0: + id = data.id + type = data.type + next_id = data.next_id + is_allowed = data.is_allowed + character = data.character + character_replacements = data.character_replacements + text = data.text + text_replacements = data.text_replacements + tags = data.tags + translation_key = data.translation_key + condition_as_text = data.condition_as_text + + +func _to_string() -> String: + return "" % text + + +func get_tag_value(tag_name: String) -> String: + var wrapped := "%s=" % tag_name + for t in tags: + if t.begins_with(wrapped): + return t.replace(wrapped, "").strip_edges() + return "" diff --git a/addons/dialogue_manager/dialogue_response.gd.uid b/addons/dialogue_manager/dialogue_response.gd.uid new file mode 100644 index 0000000..9b4532a --- /dev/null +++ b/addons/dialogue_manager/dialogue_response.gd.uid @@ -0,0 +1 @@ +uid://cm0xpfeywpqid diff --git a/addons/dialogue_manager/dialogue_responses_menu.gd b/addons/dialogue_manager/dialogue_responses_menu.gd new file mode 100644 index 0000000..74e31d4 --- /dev/null +++ b/addons/dialogue_manager/dialogue_responses_menu.gd @@ -0,0 +1,183 @@ +@icon("./assets/responses_menu.svg") + +## A [Container] for dialogue responses provided by [b]Dialogue Manager[/b]. +class_name DialogueResponsesMenu extends Container + + +## Emitted when a response is focused. +signal response_focused(response: Control) + +## Emitted when a response is selected. +signal response_selected(response: Control) + + +## Optionally specify a control to duplicate for each response +@export var response_template: Control + +## The action for accepting a response (is possibly overridden by parent dialogue balloon). +@export var next_action: StringName = &"" + +## Automatically set up focus neighbours when the responses list changes. +@export var auto_configure_focus: bool = true + +## Automatically focus the first item when showing. +@export var auto_focus_first_item: bool = true + +## Hide any responses where [code]is_allowed[/code] is false +@export var hide_failed_responses: bool = false + +## The list of dialogue responses. +var responses: Array = []: + set(value): + responses = value + _apply_responses() + get: + return responses + +# The previously focused item in this menu. +var _previously_focused_item: Control = null + + +func _ready() -> void: + visibility_changed.connect(func(): + if auto_focus_first_item and visible and get_menu_items().size() > 0: + var first_item: Control = get_menu_items()[0] + if first_item.is_inside_tree(): + first_item.grab_focus() + ) + + if is_instance_valid(response_template): + response_template.hide() + + get_viewport().gui_focus_changed.connect(_on_focus_changed) + + +## Get the selectable items in the menu. +func get_menu_items() -> Array: + var items: Array = [] + for child in get_children(): + if not child.visible: continue + if "Disallowed" in child.name: continue + items.append(child) + + return items + + +## Prepare the menu for keyboard and mouse navigation. +func configure_focus() -> void: + var items = get_menu_items() + for i in items.size(): + var item: Control = items[i] + + item.focus_mode = Control.FOCUS_ALL + + item.focus_neighbor_left = item.get_path() + item.focus_neighbor_right = item.get_path() + + if i == 0: + item.focus_neighbor_top = item.get_path() + item.focus_neighbor_left = item.get_path() + item.focus_previous = item.get_path() + else: + item.focus_neighbor_top = items[i - 1].get_path() + item.focus_neighbor_left = items[i - 1].get_path() + item.focus_previous = items[i - 1].get_path() + + if i == items.size() - 1: + item.focus_neighbor_bottom = item.get_path() + item.focus_neighbor_right = item.get_path() + item.focus_next = item.get_path() + else: + item.focus_neighbor_bottom = items[i + 1].get_path() + item.focus_neighbor_right = items[i + 1].get_path() + item.focus_next = items[i + 1].get_path() + + item.mouse_entered.connect(_on_response_mouse_entered.bind(item)) + item.gui_input.connect(_on_response_gui_input.bind(item, item.get_meta("response"))) + + _previously_focused_item = items[0] + + if auto_focus_first_item: + items[0].grab_focus() + + +#region Internal + + +# Set up the visual side of things. +func _apply_responses() -> void: + # Remove any current items + for item in get_children(): + if item == response_template: continue + + remove_child(item) + item.queue_free() + + # Add new items + if responses.size() > 0: + for response in responses: + if hide_failed_responses and not response.is_allowed: continue + + var item: Control + if is_instance_valid(response_template): + item = response_template.duplicate(DUPLICATE_GROUPS | DUPLICATE_SCRIPTS | DUPLICATE_SIGNALS) + item.show() + else: + item = Button.new() + item.name = "Response%d" % get_child_count() + if not response.is_allowed: + item.name = item.name + &"Disallowed" + item.disabled = true + + # If the item has a response property then use that + if "response" in item: + item.response = response + # Otherwise assume we can just set the text + else: + item.text = response.text + + item.set_meta("response", response) + + add_child(item) + + if auto_configure_focus: + configure_focus() + + +#endregion + +#region Signals + + +func _on_focus_changed(control: Control) -> void: + if "Disallowed" in control.name: return + if not control in get_menu_items(): return + + if _previously_focused_item != control: + var prev_text = _previously_focused_item.get_text() + if "> " in prev_text: + _previously_focused_item.set_text(prev_text.trim_prefix("> ")) + control.set_text("> " + control.get_text()) + _previously_focused_item = control + response_focused.emit(control) + + + +func _on_response_mouse_entered(item: Control) -> void: + if "Disallowed" in item.name: return + + item.grab_focus() + + +func _on_response_gui_input(event: InputEvent, item: Control, response) -> void: + if "Disallowed" in item.name: return + + if event is InputEventMouseButton and event.is_pressed() and event.button_index == MOUSE_BUTTON_LEFT: + get_viewport().set_input_as_handled() + response_selected.emit(response) + elif event.is_action_pressed(&"ui_accept" if next_action.is_empty() else next_action) and item in get_menu_items(): + get_viewport().set_input_as_handled() + response_selected.emit(response) + + +#endregion diff --git a/addons/dialogue_manager/dialogue_responses_menu.gd.uid b/addons/dialogue_manager/dialogue_responses_menu.gd.uid new file mode 100644 index 0000000..0ae73d9 --- /dev/null +++ b/addons/dialogue_manager/dialogue_responses_menu.gd.uid @@ -0,0 +1 @@ +uid://bb52rsfwhkxbn diff --git a/addons/dialogue_manager/editor_translation_parser_plugin.gd b/addons/dialogue_manager/editor_translation_parser_plugin.gd new file mode 100644 index 0000000..137ab70 --- /dev/null +++ b/addons/dialogue_manager/editor_translation_parser_plugin.gd @@ -0,0 +1,53 @@ +class_name DMTranslationParserPlugin extends EditorTranslationParserPlugin + + +## Cached result of parsing a dialogue file. +var data: DMCompilerResult +## List of characters that were added. +var translated_character_names: PackedStringArray = [] +var translated_lines: Array[Dictionary] = [] + + +func _parse_file(path: String) -> Array[PackedStringArray]: + var msgs: Array[PackedStringArray] = [] + var file: FileAccess = FileAccess.open(path, FileAccess.READ) + var text: String = file.get_as_text() + + data = DMCompiler.compile_string(text, path) + + var known_keys: PackedStringArray = PackedStringArray([]) + + # Add all character names if settings ask for it + if DMSettings.get_setting(DMSettings.INCLUDE_CHARACTERS_IN_TRANSLATABLE_STRINGS_LIST, true): + translated_character_names = [] as Array[DialogueLine] + for character_name: String in data.character_names: + if character_name in known_keys: continue + + known_keys.append(character_name) + + translated_character_names.append(character_name) + msgs.append(PackedStringArray([character_name.replace('"', '\"'), "dialogue", "", DMConstants.translate("translation_plugin.character_name")])) + + # Add all dialogue lines and responses + var dialogue: Dictionary = data.lines + for key: String in dialogue.keys(): + var line: Dictionary = dialogue.get(key) + + if not line.type in [DMConstants.TYPE_DIALOGUE, DMConstants.TYPE_RESPONSE]: continue + + var translation_key: String = line.get(&"translation_key", line.text) + + if translation_key in known_keys: continue + + known_keys.append(translation_key) + translated_lines.append(line) + if translation_key == line.text: + msgs.append(PackedStringArray([line.text.replace('"', '\"'), "", "", line.get("notes", "")])) + else: + msgs.append(PackedStringArray([line.text.replace('"', '\"'), line.translation_key.replace('"', '\"'), "", line.get("notes", "")])) + + return msgs + + +func _get_recognized_extensions() -> PackedStringArray: + return ["dialogue"] diff --git a/addons/dialogue_manager/editor_translation_parser_plugin.gd.uid b/addons/dialogue_manager/editor_translation_parser_plugin.gd.uid new file mode 100644 index 0000000..22ddbe9 --- /dev/null +++ b/addons/dialogue_manager/editor_translation_parser_plugin.gd.uid @@ -0,0 +1 @@ +uid://c6bya881h1egb diff --git a/addons/dialogue_manager/example_balloon/ExampleBalloon.cs b/addons/dialogue_manager/example_balloon/ExampleBalloon.cs new file mode 100644 index 0000000..084c3f4 --- /dev/null +++ b/addons/dialogue_manager/example_balloon/ExampleBalloon.cs @@ -0,0 +1,264 @@ +using Godot; +using Godot.Collections; + +namespace DialogueManagerRuntime +{ + public partial class ExampleBalloon : CanvasLayer + { + [Export] public Resource DialogueResource; + [Export] public string StartFromTitle = ""; + [Export] public bool AutoStart = false; + [Export] public string NextAction = "ui_accept"; + [Export] public string SkipAction = "ui_cancel"; + + + Control balloon; + RichTextLabel characterLabel; + RichTextLabel dialogueLabel; + VBoxContainer responsesMenu; + Polygon2D progress; + + Array temporaryGameStates = new Array(); + bool isWaitingForInput = false; + bool willHideBalloon = false; + + DialogueLine dialogueLine; + DialogueLine DialogueLine + { + get => dialogueLine; + set + { + // Dialogue has finished so close the balloon + if (value == null) + { + if (Owner == null) + { + QueueFree(); + } + else + { + Hide(); + } + return; + } + + dialogueLine = value; + ApplyDialogueLine(); + } + } + + Timer MutationCooldown = new Timer(); + + + public override void _Ready() + { + balloon = GetNode("%Balloon"); + characterLabel = GetNode("%CharacterLabel"); + dialogueLabel = GetNode("%DialogueLabel"); + responsesMenu = GetNode("%ResponsesMenu"); + progress = GetNode("%Progress"); + + balloon.Hide(); + + balloon.GuiInput += (@event) => + { + if ((bool)dialogueLabel.Get("is_typing")) + { + bool mouseWasClicked = @event is InputEventMouseButton && (@event as InputEventMouseButton).ButtonIndex == MouseButton.Left && @event.IsPressed(); + bool skipButtonWasPressed = @event.IsActionPressed(SkipAction); + if (mouseWasClicked || skipButtonWasPressed) + { + GetViewport().SetInputAsHandled(); + dialogueLabel.Call("skip_typing"); + return; + } + } + + if (!isWaitingForInput) return; + if (dialogueLine.Responses.Count > 0) return; + + GetViewport().SetInputAsHandled(); + + if (@event is InputEventMouseButton && @event.IsPressed() && (@event as InputEventMouseButton).ButtonIndex == MouseButton.Left) + { + Next(dialogueLine.NextId); + } + else if (@event.IsActionPressed(NextAction) && GetViewport().GuiGetFocusOwner() == balloon) + { + Next(dialogueLine.NextId); + } + }; + + if (string.IsNullOrEmpty((string)responsesMenu.Get("next_action"))) + { + responsesMenu.Set("next_action", NextAction); + } + responsesMenu.Connect("response_selected", Callable.From((DialogueResponse response) => + { + Next(response.NextId); + })); + + + // Hide the balloon when a mutation is running + MutationCooldown.Timeout += () => + { + if (willHideBalloon) + { + willHideBalloon = false; + balloon.Hide(); + } + }; + AddChild(MutationCooldown); + + DialogueManager.Mutated += OnMutated; + + if (AutoStart) + { + if (!IsInstanceValid(DialogueResource)) + { + throw new System.Exception(DialogueManager.GetErrorMessage(143)); + } + Start(); + } + } + + + public override void _ExitTree() + { + DialogueManager.Mutated -= OnMutated; + } + + + public override void _UnhandledInput(InputEvent @event) + { + // Only the balloon is allowed to handle input while it's showing + GetViewport().SetInputAsHandled(); + } + + + public override async void _Notification(int what) + { + // Detect a change of locale and update the current dialogue line to show the new language + if (what == NotificationTranslationChanged && IsInstanceValid(dialogueLabel)) + { + float visibleRatio = dialogueLabel.VisibleRatio; + DialogueLine = await DialogueManager.GetNextDialogueLine(DialogueResource, DialogueLine.Id, temporaryGameStates); + if (visibleRatio < 1.0f) + { + dialogueLabel.Call("skip_typing"); + } + } + } + + + public override void _Process(double delta) + { + base._Process(delta); + + if (IsInstanceValid(dialogueLine)) + { + progress.Visible = !(bool)dialogueLabel.Get("is_typing") && dialogueLine.Responses.Count == 0 && !dialogueLine.HasTag("voice"); + } + } + + + public async void Start(Resource dialogueResource = null, string title = "", Array extraGameStates = null) + { + temporaryGameStates = new Array { this } + (extraGameStates ?? new Array()); + isWaitingForInput = false; + + if (IsInstanceValid(dialogueResource)) + { + DialogueResource = dialogueResource; + } + if (title != "") + { + StartFromTitle = title; + } + + DialogueLine = await DialogueManager.GetNextDialogueLine(DialogueResource, StartFromTitle, temporaryGameStates); + Show(); + } + + + public async void Next(string nextId) + { + DialogueLine = await DialogueManager.GetNextDialogueLine(DialogueResource, nextId, temporaryGameStates); + } + + + #region Helpers + + + private async void ApplyDialogueLine() + { + MutationCooldown.Stop(); + + isWaitingForInput = false; + balloon.FocusMode = Control.FocusModeEnum.All; + balloon.GrabFocus(); + + // Set up the character name + characterLabel.Visible = !string.IsNullOrEmpty(dialogueLine.Character); + characterLabel.Text = Tr(dialogueLine.Character, "dialogue"); + + // Set up the dialogue + dialogueLabel.Hide(); + dialogueLabel.Set("dialogue_line", dialogueLine); + + // Set up the responses + responsesMenu.Hide(); + responsesMenu.Set("responses", dialogueLine.Responses); + + // Type out the text + balloon.Show(); + willHideBalloon = false; + dialogueLabel.Show(); + if (!string.IsNullOrEmpty(dialogueLine.Text)) + { + dialogueLabel.Call("type_out"); + await ToSignal(dialogueLabel, "finished_typing"); + } + + // Wait for input + if (dialogueLine.Responses.Count > 0) + { + balloon.FocusMode = Control.FocusModeEnum.None; + responsesMenu.Show(); + } + else if (!string.IsNullOrEmpty(dialogueLine.Time)) + { + float time = 0f; + if (!float.TryParse(dialogueLine.Time, out time)) + { + time = dialogueLine.Text.Length * 0.02f; + } + await ToSignal(GetTree().CreateTimer(time), "timeout"); + Next(dialogueLine.NextId); + } + else + { + isWaitingForInput = true; + balloon.FocusMode = Control.FocusModeEnum.All; + balloon.GrabFocus(); + } + } + + + #endregion + + + #region signals + + + private void OnMutated(Dictionary _mutation) + { + isWaitingForInput = false; + willHideBalloon = true; + MutationCooldown.Start(0.1f); + } + + + #endregion + } +} diff --git a/addons/dialogue_manager/example_balloon/ExampleBalloon.cs.uid b/addons/dialogue_manager/example_balloon/ExampleBalloon.cs.uid new file mode 100644 index 0000000..4b3783a --- /dev/null +++ b/addons/dialogue_manager/example_balloon/ExampleBalloon.cs.uid @@ -0,0 +1 @@ +uid://5b3w40kwakl3 diff --git a/addons/dialogue_manager/example_balloon/example_balloon.gd b/addons/dialogue_manager/example_balloon/example_balloon.gd new file mode 100644 index 0000000..528c391 --- /dev/null +++ b/addons/dialogue_manager/example_balloon/example_balloon.gd @@ -0,0 +1,213 @@ +class_name DialogueManagerExampleBalloon extends CanvasLayer +## A basic dialogue balloon for use with Dialogue Manager. + + +## The dialogue resource +@export var dialogue_resource: DialogueResource + +## Start from a given title when using balloon as a [Node] in a scene. +@export var start_from_title: String = "" + +## If running as a [Node] in a scene then auto start the dialogue. +@export var auto_start: bool = false + +## The action to use for advancing the dialogue +@export var next_action: StringName = &"ui_accept" + +## The action to use to skip typing the dialogue +@export var skip_action: StringName = &"ui_cancel" + +## A sound player for voice lines (if they exist). +@onready var audio_stream_player: AudioStreamPlayer = %AudioStreamPlayer + +## Temporary game states +var temporary_game_states: Array = [] + +## See if we are waiting for the player +var is_waiting_for_input: bool = false + +## See if we are running a long mutation and should hide the balloon +var will_hide_balloon: bool = false + +## A dictionary to store any ephemeral variables +var locals: Dictionary = {} + +var _locale: String = TranslationServer.get_locale() + +## The current line +var dialogue_line: DialogueLine: + set(value): + if value: + dialogue_line = value + apply_dialogue_line() + else: + # The dialogue has finished so close the balloon + if owner == null: + queue_free() + else: + hide() + get: + return dialogue_line + +## A cooldown timer for delaying the balloon hide when encountering a mutation. +var mutation_cooldown: Timer = Timer.new() + +## The base balloon anchor +@onready var balloon: Control = %Balloon + +## The label showing the name of the currently speaking character +@onready var character_label: RichTextLabel = %CharacterLabel + +## The label showing the currently spoken dialogue +@onready var dialogue_label: DialogueLabel = %DialogueLabel + +## The menu of responses +@onready var responses_menu: DialogueResponsesMenu = %ResponsesMenu + +## Indicator to show that player can progress dialogue. +@onready var progress: Polygon2D = %Progress + + +func _ready() -> void: + balloon.hide() + Engine.get_singleton("DialogueManager").mutated.connect(_on_mutated) + + # If the responses menu doesn't have a next action set, use this one + if responses_menu.next_action.is_empty(): + responses_menu.next_action = next_action + + mutation_cooldown.timeout.connect(_on_mutation_cooldown_timeout) + add_child(mutation_cooldown) + + if auto_start: + if not is_instance_valid(dialogue_resource): + assert(false, DMConstants.get_error_message(DMConstants.ERR_MISSING_RESOURCE_FOR_AUTOSTART)) + start() + + +func _process(delta: float) -> void: + if is_instance_valid(dialogue_line): + progress.visible = not dialogue_label.is_typing and dialogue_line.responses.size() == 0 and not dialogue_line.has_tag("voice") + + +func _unhandled_input(_event: InputEvent) -> void: + # Only the balloon is allowed to handle input while it's showing + get_viewport().set_input_as_handled() + + +func _notification(what: int) -> void: + ## Detect a change of locale and update the current dialogue line to show the new language + if what == NOTIFICATION_TRANSLATION_CHANGED and _locale != TranslationServer.get_locale() and is_instance_valid(dialogue_label): + _locale = TranslationServer.get_locale() + var visible_ratio = dialogue_label.visible_ratio + dialogue_line = await dialogue_resource.get_next_dialogue_line(dialogue_line.id) + if visible_ratio < 1: + dialogue_label.skip_typing() + + +## Start some dialogue +func start(with_dialogue_resource: DialogueResource = null, title: String = "", extra_game_states: Array = []) -> void: + temporary_game_states = [self] + extra_game_states + is_waiting_for_input = false + if is_instance_valid(with_dialogue_resource): + dialogue_resource = with_dialogue_resource + if not title.is_empty(): + start_from_title = title + dialogue_line = await dialogue_resource.get_next_dialogue_line(start_from_title, temporary_game_states) + show() + + +## Apply any changes to the balloon given a new [DialogueLine]. +func apply_dialogue_line() -> void: + mutation_cooldown.stop() + + progress.hide() + is_waiting_for_input = false + balloon.focus_mode = Control.FOCUS_ALL + balloon.grab_focus() + + character_label.visible = not dialogue_line.character.is_empty() + character_label.text = tr(dialogue_line.character, "dialogue") + + dialogue_label.hide() + dialogue_label.dialogue_line = dialogue_line + + responses_menu.hide() + responses_menu.responses = dialogue_line.responses + + # Show our balloon + balloon.show() + will_hide_balloon = false + + dialogue_label.show() + if not dialogue_line.text.is_empty(): + dialogue_label.type_out() + await dialogue_label.finished_typing + + # Wait for next line + if dialogue_line.has_tag("voice"): + audio_stream_player.stream = load(dialogue_line.get_tag_value("voice")) + audio_stream_player.play() + await audio_stream_player.finished + next(dialogue_line.next_id) + elif dialogue_line.responses.size() > 0: + balloon.focus_mode = Control.FOCUS_NONE + responses_menu.show() + elif dialogue_line.time != "": + var time = dialogue_line.text.length() * 0.02 if dialogue_line.time == "auto" else dialogue_line.time.to_float() + await get_tree().create_timer(time).timeout + next(dialogue_line.next_id) + else: + is_waiting_for_input = true + balloon.focus_mode = Control.FOCUS_ALL + balloon.grab_focus() + + +## Go to the next line +func next(next_id: String) -> void: + dialogue_line = await dialogue_resource.get_next_dialogue_line(next_id, temporary_game_states) + + +#region Signals + + +func _on_mutation_cooldown_timeout() -> void: + if will_hide_balloon: + will_hide_balloon = false + balloon.hide() + + +func _on_mutated(_mutation: Dictionary) -> void: + if not _mutation.is_inline: + is_waiting_for_input = false + will_hide_balloon = true + mutation_cooldown.start(0.1) + + +func _on_balloon_gui_input(event: InputEvent) -> void: + # See if we need to skip typing of the dialogue + if dialogue_label.is_typing: + var mouse_was_clicked: bool = event is InputEventMouseButton and event.button_index == MOUSE_BUTTON_LEFT and event.is_pressed() + var skip_button_was_pressed: bool = event.is_action_pressed(skip_action) + if mouse_was_clicked or skip_button_was_pressed: + get_viewport().set_input_as_handled() + dialogue_label.skip_typing() + return + + if not is_waiting_for_input: return + if dialogue_line.responses.size() > 0: return + + # When there are no response options the balloon itself is the clickable thing + get_viewport().set_input_as_handled() + + if event is InputEventMouseButton and event.is_pressed() and event.button_index == MOUSE_BUTTON_LEFT: + next(dialogue_line.next_id) + elif event.is_action_pressed(next_action) and get_viewport().gui_get_focus_owner() == balloon: + next(dialogue_line.next_id) + + +func _on_responses_menu_response_selected(response: DialogueResponse) -> void: + next(response.next_id) + + +#endregion diff --git a/addons/dialogue_manager/example_balloon/example_balloon.gd.uid b/addons/dialogue_manager/example_balloon/example_balloon.gd.uid new file mode 100644 index 0000000..6327f9b --- /dev/null +++ b/addons/dialogue_manager/example_balloon/example_balloon.gd.uid @@ -0,0 +1 @@ +uid://d1wt4ma6055l8 diff --git a/addons/dialogue_manager/example_balloon/example_balloon.tscn b/addons/dialogue_manager/example_balloon/example_balloon.tscn new file mode 100644 index 0000000..1f5d2ec --- /dev/null +++ b/addons/dialogue_manager/example_balloon/example_balloon.tscn @@ -0,0 +1,192 @@ +[gd_scene load_steps=12 format=3 uid="uid://73jm5qjy52vq"] + +[ext_resource type="Script" uid="uid://d1wt4ma6055l8" path="res://addons/dialogue_manager/example_balloon/example_balloon.gd" id="1_36de5"] +[ext_resource type="PackedScene" uid="uid://ckvgyvclnwggo" path="res://addons/dialogue_manager/dialogue_label.tscn" id="2_a8ve6"] +[ext_resource type="Script" uid="uid://bb52rsfwhkxbn" path="res://addons/dialogue_manager/dialogue_responses_menu.gd" id="3_72ixx"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_spyqn"] +bg_color = Color(0, 0, 0, 1) +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(0.329412, 0.329412, 0.329412, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ri4m3"] +bg_color = Color(0.121569, 0.121569, 0.121569, 1) +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(1, 1, 1, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_e0njw"] +bg_color = Color(0, 0, 0, 1) +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(0.6, 0.6, 0.6, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_qkmqt"] + +[sub_resource type="Theme" id="Theme_qq3yp"] +default_font_size = 20 +Button/styles/disabled = SubResource("StyleBoxFlat_spyqn") +Button/styles/focus = SubResource("StyleBoxFlat_ri4m3") +Button/styles/hover = SubResource("StyleBoxFlat_e0njw") +Button/styles/normal = SubResource("StyleBoxFlat_e0njw") +MarginContainer/constants/margin_bottom = 15 +MarginContainer/constants/margin_left = 30 +MarginContainer/constants/margin_right = 30 +MarginContainer/constants/margin_top = 15 +PanelContainer/styles/panel = SubResource("StyleBoxFlat_qkmqt") + +[sub_resource type="Animation" id="Animation_nlsx6"] +length = 0.001 +tracks/0/type = "bezier" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Progress:position:y") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"handle_modes": PackedInt32Array(0), +"points": PackedFloat32Array(0, -0.25, 0, 0.25, 0), +"times": PackedFloat32Array(0) +} + +[sub_resource type="Animation" id="Animation_qkmqt"] +resource_name = "progress" +loop_mode = 1 +step = 0.1 +tracks/0/type = "bezier" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Progress:position:y") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"handle_modes": PackedInt32Array(0, 0, 0, 0, 0), +"points": PackedFloat32Array(0, -0.25, 0, 0.25, 0, 0, -0.25, 0, 0.2, -0.0157438, -4, -0.2, 0.0112069, 0.25, 0, -4, -0.25, 0, 0.25, 0, 0, -0.2, 0.00299701, 0.25, 0), +"times": PackedFloat32Array(0, 0.1, 0.5, 0.6, 1) +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_1337t"] +_data = { +&"RESET": SubResource("Animation_nlsx6"), +&"progress": SubResource("Animation_qkmqt") +} + +[node name="ExampleBalloon" type="CanvasLayer"] +layer = 100 +script = ExtResource("1_36de5") + +[node name="Balloon" type="Control" parent="."] +unique_name_in_owner = true +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme = SubResource("Theme_qq3yp") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon"] +layout_mode = 1 +anchors_preset = 12 +anchor_top = 1.0 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_top = -219.0 +grow_horizontal = 2 +grow_vertical = 0 + +[node name="PanelContainer" type="PanelContainer" parent="Balloon/MarginContainer"] +clip_children = 2 +layout_mode = 2 +mouse_filter = 1 + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/PanelContainer"] +layout_mode = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer"] +layout_mode = 2 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="CharacterLabel" type="RichTextLabel" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer"] +unique_name_in_owner = true +modulate = Color(1, 1, 1, 0.501961) +layout_mode = 2 +mouse_filter = 1 +bbcode_enabled = true +text = "Character" +fit_content = true +scroll_active = false + +[node name="DialogueLabel" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer" instance=ExtResource("2_a8ve6")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 3 +text = "Dialogue..." + +[node name="Control" type="Control" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer"] +custom_minimum_size = Vector2(20, 10) +layout_mode = 2 +size_flags_vertical = 8 + +[node name="Progress" type="Polygon2D" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/Control"] +unique_name_in_owner = true +polygon = PackedVector2Array(0, 0, 10, 10, 20, 0) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/Control"] +libraries = { +&"": SubResource("AnimationLibrary_1337t") +} +autoplay = "progress" + +[node name="ResponsesMenu" type="VBoxContainer" parent="Balloon" node_paths=PackedStringArray("response_template")] +unique_name_in_owner = true +layout_mode = 1 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -290.5 +offset_top = -35.0 +offset_right = 290.5 +offset_bottom = 35.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_vertical = 8 +theme_override_constants/separation = 2 +alignment = 1 +script = ExtResource("3_72ixx") +response_template = NodePath("ResponseExample") + +[node name="ResponseExample" type="Button" parent="Balloon/ResponsesMenu"] +layout_mode = 2 +text = "Response example" + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +unique_name_in_owner = true + +[connection signal="gui_input" from="Balloon" to="." method="_on_balloon_gui_input"] +[connection signal="meta_hover_ended" from="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer/DialogueLabel" to="." method="_on_dialogue_label_meta_hover_ended"] +[connection signal="response_selected" from="Balloon/ResponsesMenu" to="." method="_on_responses_menu_response_selected"] diff --git a/addons/dialogue_manager/export_plugin.gd b/addons/dialogue_manager/export_plugin.gd new file mode 100644 index 0000000..ef65500 --- /dev/null +++ b/addons/dialogue_manager/export_plugin.gd @@ -0,0 +1,26 @@ +class_name DMExportPlugin extends EditorExportPlugin + +const IGNORED_PATHS = [ + "/assets", + "/components", + "/views", + "inspector_plugin", + "test_scene" +] + + +func _get_name() -> String: + return "Dialogue Manager Export Plugin" + + +func _export_file(path: String, type: String, features: PackedStringArray) -> void: + var plugin_path: String = Engine.get_meta("DialogueManagerPlugin").get_plugin_path() + + # Ignore any editor stuff + for ignored_path: String in IGNORED_PATHS: + if path.begins_with(plugin_path + ignored_path): + skip() + + # Ignore C# stuff it not using dotnet + if path.begins_with(plugin_path) and not DMSettings.check_for_dotnet_solution() and path.ends_with(".cs"): + skip() diff --git a/addons/dialogue_manager/export_plugin.gd.uid b/addons/dialogue_manager/export_plugin.gd.uid new file mode 100644 index 0000000..efaa0c6 --- /dev/null +++ b/addons/dialogue_manager/export_plugin.gd.uid @@ -0,0 +1 @@ +uid://sa55ra11ji2q diff --git a/addons/dialogue_manager/game_balloons/game_balloon_v_1.tscn b/addons/dialogue_manager/game_balloons/game_balloon_v_1.tscn new file mode 100644 index 0000000..1086c19 --- /dev/null +++ b/addons/dialogue_manager/game_balloons/game_balloon_v_1.tscn @@ -0,0 +1,210 @@ +[gd_scene load_steps=14 format=3 uid="uid://pf8dknkr7qhu"] + +[ext_resource type="Script" uid="uid://dw0hgklv36ei0" path="res://addons/dialogue_manager/game_balloons/game_balloon_v_2.gd" id="1_lq630"] +[ext_resource type="PackedScene" uid="uid://ckvgyvclnwggo" path="res://addons/dialogue_manager/dialogue_label.tscn" id="2_eej3y"] +[ext_resource type="Script" uid="uid://bb52rsfwhkxbn" path="res://addons/dialogue_manager/dialogue_responses_menu.gd" id="3_ni41x"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_spyqn"] +bg_color = Color(0, 0, 0, 1) +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(0.329412, 0.329412, 0.329412, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ri4m3"] +bg_color = Color(0.121569, 0.121569, 0.121569, 1) +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(1, 1, 1, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_e0njw"] +bg_color = Color(0, 0, 0, 1) +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(0.6, 0.6, 0.6, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_qkmqt"] + +[sub_resource type="Theme" id="Theme_qq3yp"] +default_font_size = 20 +Button/styles/disabled = SubResource("StyleBoxFlat_spyqn") +Button/styles/focus = SubResource("StyleBoxFlat_ri4m3") +Button/styles/hover = SubResource("StyleBoxFlat_e0njw") +Button/styles/normal = SubResource("StyleBoxFlat_e0njw") +MarginContainer/constants/margin_bottom = 15 +MarginContainer/constants/margin_left = 30 +MarginContainer/constants/margin_right = 30 +MarginContainer/constants/margin_top = 15 +PanelContainer/styles/panel = SubResource("StyleBoxFlat_qkmqt") + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_8awow"] +bg_color = Color(0.14128241, 0.3091807, 0.48683643, 1) +corner_radius_top_left = 12 +corner_radius_top_right = 12 +corner_radius_bottom_right = 12 +corner_radius_bottom_left = 12 + +[sub_resource type="Animation" id="Animation_nlsx6"] +length = 0.001 +tracks/0/type = "bezier" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Progress:position:y") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"handle_modes": PackedInt32Array(0), +"points": PackedFloat32Array(0, -0.25, 0, 0.25, 0), +"times": PackedFloat32Array(0) +} + +[sub_resource type="Animation" id="Animation_qkmqt"] +resource_name = "progress" +loop_mode = 1 +step = 0.1 +tracks/0/type = "bezier" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Progress:position:y") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"handle_modes": PackedInt32Array(0, 0, 0, 0, 0), +"points": PackedFloat32Array(0, -0.25, 0, 0.25, 0, 0, -0.25, 0, 0.2, -0.0157438, -4, -0.2, 0.0112069, 0.25, 0, -4, -0.25, 0, 0.25, 0, 0, -0.2, 0.00299701, 0.25, 0), +"times": PackedFloat32Array(0, 0.1, 0.5, 0.6, 1) +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_1337t"] +_data = { +&"RESET": SubResource("Animation_nlsx6"), +&"progress": SubResource("Animation_qkmqt") +} + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_del0c"] +bg_color = Color(0.552682, 0.46808052, 0.3405151, 1) + +[node name="GameBalloon_v1" type="CanvasLayer"] +layer = 100 +script = ExtResource("1_lq630") + +[node name="Balloon" type="Control" parent="."] +unique_name_in_owner = true +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme = SubResource("Theme_qq3yp") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon"] +layout_mode = 1 +anchors_preset = 12 +anchor_top = 1.0 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_top = -219.0 +grow_horizontal = 2 +grow_vertical = 0 + +[node name="PanelContainer" type="PanelContainer" parent="Balloon/MarginContainer"] +clip_children = 2 +layout_mode = 2 +mouse_filter = 1 +theme_override_styles/panel = SubResource("StyleBoxFlat_8awow") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/PanelContainer"] +layout_mode = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer"] +layout_mode = 2 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="CharacterLabel" type="RichTextLabel" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer"] +unique_name_in_owner = true +modulate = Color(1, 1, 1, 0.501961) +layout_mode = 2 +mouse_filter = 1 +bbcode_enabled = true +text = "Character" +fit_content = true +scroll_active = false + +[node name="DialogueLabel" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer" instance=ExtResource("2_eej3y")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 3 +theme_override_colors/default_color = Color(1, 1, 1, 1) +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 3 +text = "Dialogue..." + +[node name="Control" type="Control" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer"] +custom_minimum_size = Vector2(20, 10) +layout_mode = 2 +size_flags_vertical = 8 + +[node name="Progress" type="Polygon2D" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/Control"] +unique_name_in_owner = true +polygon = PackedVector2Array(0, 0, 10, 10, 20, 0) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/Control"] +libraries = { +&"": SubResource("AnimationLibrary_1337t") +} +autoplay = "progress" + +[node name="ResponsesMenu" type="VBoxContainer" parent="Balloon" node_paths=PackedStringArray("response_template")] +unique_name_in_owner = true +layout_mode = 1 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -506.0 +offset_top = 138.0 +offset_right = 514.0 +offset_bottom = 258.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_vertical = 8 +theme_override_constants/separation = 2 +alignment = 1 +script = ExtResource("3_ni41x") +response_template = NodePath("ResponseExample") + +[node name="ResponseExample" type="Button" parent="Balloon/ResponsesMenu"] +layout_mode = 2 +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 3 +theme_override_font_sizes/font_size = 36 +theme_override_styles/normal = SubResource("StyleBoxFlat_del0c") +text = "Response example" + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +unique_name_in_owner = true + +[connection signal="gui_input" from="Balloon" to="." method="_on_balloon_gui_input"] +[connection signal="meta_hover_ended" from="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer/DialogueLabel" to="." method="_on_dialogue_label_meta_hover_ended"] +[connection signal="response_selected" from="Balloon/ResponsesMenu" to="." method="_on_responses_menu_response_selected"] diff --git a/addons/dialogue_manager/game_balloons/game_balloon_v_2.gd b/addons/dialogue_manager/game_balloons/game_balloon_v_2.gd new file mode 100644 index 0000000..c91f852 --- /dev/null +++ b/addons/dialogue_manager/game_balloons/game_balloon_v_2.gd @@ -0,0 +1,213 @@ +extends CanvasLayer +## A basic dialogue balloon for use with Dialogue Manager. + + +## The dialogue resource +@export var dialogue_resource: DialogueResource + +## Start from a given title when using balloon as a [Node] in a scene. +@export var start_from_title: String = "" + +## If running as a [Node] in a scene then auto start the dialogue. +@export var auto_start: bool = false + +## The action to use for advancing the dialogue +@export var next_action: StringName = &"advance_dialogue" #&"ui_accept" + +## The action to use to skip typing the dialogue +@export var skip_action: StringName = &"ui_cancel" + +## A sound player for voice lines (if they exist). +@onready var audio_stream_player: AudioStreamPlayer = %AudioStreamPlayer + +## Temporary game states +var temporary_game_states: Array = [] + +## See if we are waiting for the player +var is_waiting_for_input: bool = false + +## See if we are running a long mutation and should hide the balloon +var will_hide_balloon: bool = false + +## A dictionary to store any ephemeral variables +var locals: Dictionary = {} + +var _locale: String = TranslationServer.get_locale() + +## The current line +var dialogue_line: DialogueLine: + set(value): + if value: + dialogue_line = value + apply_dialogue_line() + else: + # The dialogue has finished so close the balloon + if owner == null: + queue_free() + else: + hide() + get: + return dialogue_line + +## A cooldown timer for delaying the balloon hide when encountering a mutation. +var mutation_cooldown: Timer = Timer.new() + +## The base balloon anchor +@onready var balloon: Control = %Balloon + +## The label showing the name of the currently speaking character +@onready var character_label: RichTextLabel = %CharacterLabel + +## The label showing the currently spoken dialogue +@onready var dialogue_label: DialogueLabel = %DialogueLabel + +## The menu of responses +@onready var responses_menu: DialogueResponsesMenu = %ResponsesMenu + +## Indicator to show that player can progress dialogue. +@onready var progress: Polygon2D = %Progress + + +func _ready() -> void: + balloon.hide() + Engine.get_singleton("DialogueManager").mutated.connect(_on_mutated) + + # If the responses menu doesn't have a next action set, use this one + if responses_menu.next_action.is_empty(): + responses_menu.next_action = next_action + + mutation_cooldown.timeout.connect(_on_mutation_cooldown_timeout) + add_child(mutation_cooldown) + + if auto_start: + if not is_instance_valid(dialogue_resource): + assert(false, DMConstants.get_error_message(DMConstants.ERR_MISSING_RESOURCE_FOR_AUTOSTART)) + start() + + +func _process(delta: float) -> void: + if is_instance_valid(dialogue_line): + progress.visible = not dialogue_label.is_typing and dialogue_line.responses.size() == 0 and not dialogue_line.has_tag("voice") + + +func _unhandled_input(_event: InputEvent) -> void: + # Only the balloon is allowed to handle input while it's showing + get_viewport().set_input_as_handled() + + +func _notification(what: int) -> void: + ## Detect a change of locale and update the current dialogue line to show the new language + if what == NOTIFICATION_TRANSLATION_CHANGED and _locale != TranslationServer.get_locale() and is_instance_valid(dialogue_label): + _locale = TranslationServer.get_locale() + var visible_ratio = dialogue_label.visible_ratio + dialogue_line = await dialogue_resource.get_next_dialogue_line(dialogue_line.id) + if visible_ratio < 1: + dialogue_label.skip_typing() + + +## Start some dialogue +func start(with_dialogue_resource: DialogueResource = null, title: String = "", extra_game_states: Array = []) -> void: + temporary_game_states = [self] + extra_game_states + is_waiting_for_input = false + if is_instance_valid(with_dialogue_resource): + dialogue_resource = with_dialogue_resource + if not title.is_empty(): + start_from_title = title + dialogue_line = await dialogue_resource.get_next_dialogue_line(start_from_title, temporary_game_states) + show() + + +## Apply any changes to the balloon given a new [DialogueLine]. +func apply_dialogue_line() -> void: + mutation_cooldown.stop() + + progress.hide() + is_waiting_for_input = false + balloon.focus_mode = Control.FOCUS_ALL + balloon.grab_focus() + + character_label.visible = not dialogue_line.character.is_empty() + character_label.text = tr(dialogue_line.character, "dialogue") + + dialogue_label.hide() + dialogue_label.dialogue_line = dialogue_line + + responses_menu.hide() + responses_menu.responses = dialogue_line.responses + + # Show our balloon + balloon.show() + will_hide_balloon = false + + dialogue_label.show() + if not dialogue_line.text.is_empty(): + dialogue_label.type_out() + await dialogue_label.finished_typing + + # Wait for next line + if dialogue_line.has_tag("voice"): + audio_stream_player.stream = load(dialogue_line.get_tag_value("voice")) + audio_stream_player.play() + await audio_stream_player.finished + next(dialogue_line.next_id) + elif dialogue_line.responses.size() > 0: + balloon.focus_mode = Control.FOCUS_NONE + responses_menu.show() + elif dialogue_line.time != "": + var time = dialogue_line.text.length() * 0.02 if dialogue_line.time == "auto" else dialogue_line.time.to_float() + await get_tree().create_timer(time).timeout + next(dialogue_line.next_id) + else: + is_waiting_for_input = true + balloon.focus_mode = Control.FOCUS_ALL + balloon.grab_focus() + + +## Go to the next line +func next(next_id: String) -> void: + dialogue_line = await dialogue_resource.get_next_dialogue_line(next_id, temporary_game_states) + + +#region Signals + + +func _on_mutation_cooldown_timeout() -> void: + if will_hide_balloon: + will_hide_balloon = false + balloon.hide() + + +func _on_mutated(_mutation: Dictionary) -> void: + if not _mutation.is_inline: + is_waiting_for_input = false + will_hide_balloon = true + mutation_cooldown.start(0.1) + + +func _on_balloon_gui_input(event: InputEvent) -> void: + # See if we need to skip typing of the dialogue + if dialogue_label.is_typing: + var mouse_was_clicked: bool = event is InputEventMouseButton and event.button_index == MOUSE_BUTTON_LEFT and event.is_pressed() + var skip_button_was_pressed: bool = event.is_action_pressed(skip_action) + if mouse_was_clicked or skip_button_was_pressed: + get_viewport().set_input_as_handled() + dialogue_label.skip_typing() + return + + if not is_waiting_for_input: return + if dialogue_line.responses.size() > 0: return + + # When there are no response options the balloon itself is the clickable thing + get_viewport().set_input_as_handled() + + if event is InputEventMouseButton and event.is_pressed() and event.button_index == MOUSE_BUTTON_LEFT: + next(dialogue_line.next_id) + elif event.is_action_pressed(next_action) and get_viewport().gui_get_focus_owner() == balloon: + next(dialogue_line.next_id) + + +func _on_responses_menu_response_selected(response: DialogueResponse) -> void: + next(response.next_id) + + +#endregion diff --git a/addons/dialogue_manager/game_balloons/game_balloon_v_2.gd.uid b/addons/dialogue_manager/game_balloons/game_balloon_v_2.gd.uid new file mode 100644 index 0000000..05025a6 --- /dev/null +++ b/addons/dialogue_manager/game_balloons/game_balloon_v_2.gd.uid @@ -0,0 +1 @@ +uid://dw0hgklv36ei0 diff --git a/addons/dialogue_manager/game_balloons/game_balloon_v_2.tscn b/addons/dialogue_manager/game_balloons/game_balloon_v_2.tscn new file mode 100644 index 0000000..4b3e718 --- /dev/null +++ b/addons/dialogue_manager/game_balloons/game_balloon_v_2.tscn @@ -0,0 +1,180 @@ +[gd_scene load_steps=12 format=3 uid="uid://dtk1rnx61snst"] + +[ext_resource type="Script" uid="uid://dw0hgklv36ei0" path="res://addons/dialogue_manager/game_balloons/game_balloon_v_2.gd" id="1_srvxo"] +[ext_resource type="FontFile" uid="uid://xyyowbn8d8hq" path="res://assets/Fonts/LessPerfectDOSVGA.ttf" id="2_jedgu"] +[ext_resource type="PackedScene" uid="uid://ckvgyvclnwggo" path="res://addons/dialogue_manager/dialogue_label.tscn" id="2_y76or"] +[ext_resource type="Script" uid="uid://bb52rsfwhkxbn" path="res://addons/dialogue_manager/dialogue_responses_menu.gd" id="3_hol6y"] +[ext_resource type="Script" uid="uid://tsgi2x8suqcv" path="res://addons/dialogue_manager/game_balloons/head_text.gd" id="3_jedgu"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_spyqn"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(0.329412, 0.329412, 0.329412, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ri4m3"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(1, 1, 1, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_e0njw"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(0.6, 0.6, 0.6, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_srvxo"] +bg_color = Color(0.11858138, 0.11858139, 0.11858132, 1) +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="Theme" id="Theme_qq3yp"] +default_font_size = 20 +Button/colors/font_focus_color = Color(0.7258277, 0.11823044, 0.94382197, 1) +Button/colors/font_hover_color = Color(0.7254902, 0.11764706, 0.94509804, 1) +Button/fonts/font = ExtResource("2_jedgu") +Button/styles/disabled = SubResource("StyleBoxFlat_spyqn") +Button/styles/focus = SubResource("StyleBoxFlat_ri4m3") +Button/styles/hover = SubResource("StyleBoxFlat_e0njw") +Button/styles/normal = SubResource("StyleBoxFlat_e0njw") +MarginContainer/constants/margin_bottom = 15 +MarginContainer/constants/margin_left = 30 +MarginContainer/constants/margin_right = 30 +MarginContainer/constants/margin_top = 15 +PanelContainer/styles/panel = SubResource("StyleBoxFlat_srvxo") + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_y76or"] +bg_color = Color(0.17402825, 0.17402828, 0.17402813, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 + +[node name="GameBalloonV2" type="CanvasLayer"] +layer = 100 +script = ExtResource("1_srvxo") + +[node name="Balloon" type="Control" parent="."] +unique_name_in_owner = true +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme = SubResource("Theme_qq3yp") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon"] +layout_mode = 1 +anchors_preset = 12 +anchor_top = 1.0 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_top = -219.0 +grow_horizontal = 2 +grow_vertical = 0 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer"] +layout_mode = 2 +theme_override_constants/separation = 0 + +[node name="HeadPanelContainer" type="PanelContainer" parent="Balloon/MarginContainer/VBoxContainer"] +custom_minimum_size = Vector2(0, 25) +layout_mode = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_y76or") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/HeadPanelContainer"] +layout_mode = 2 +theme_override_constants/margin_top = 5 +theme_override_constants/margin_bottom = 5 + +[node name="HeadText" type="RichTextLabel" parent="Balloon/MarginContainer/VBoxContainer/HeadPanelContainer/MarginContainer"] +layout_mode = 2 +theme_override_fonts/normal_font = ExtResource("2_jedgu") +theme_override_font_sizes/normal_font_size = 28 +text = "/Level_1/" +fit_content = true +horizontal_alignment = 1 +script = ExtResource("3_jedgu") + +[node name="PanelContainer" type="PanelContainer" parent="Balloon/MarginContainer/VBoxContainer"] +clip_children = 2 +layout_mode = 2 +mouse_filter = 1 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer"] +custom_minimum_size = Vector2(0, 300) +layout_mode = 2 + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer"] +layout_mode = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer"] +layout_mode = 2 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="CharacterLabel" type="RichTextLabel" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer"] +unique_name_in_owner = true +modulate = Color(1, 1, 1, 0.501961) +layout_mode = 2 +mouse_filter = 1 +theme_override_fonts/normal_font = ExtResource("2_jedgu") +theme_override_font_sizes/normal_font_size = 28 +bbcode_enabled = true +text = "Character" +fit_content = true +scroll_active = false + +[node name="DialogueLabel" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer" instance=ExtResource("2_y76or")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 3 +theme_override_fonts/normal_font = ExtResource("2_jedgu") +text = "Dialogue..." + +[node name="Control" type="Control" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer"] +custom_minimum_size = Vector2(20, 10) +layout_mode = 2 +size_flags_vertical = 8 + +[node name="Progress" type="Polygon2D" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/Control"] +unique_name_in_owner = true +visible = false +polygon = PackedVector2Array(0, 0, 10, 10, 20, 0) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/Control"] +autoplay = "progress" + +[node name="MarginContainer2" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer"] +layout_mode = 2 + +[node name="ResponsesMenu" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2" node_paths=PackedStringArray("response_template")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 8 +theme_override_constants/separation = 2 +script = ExtResource("3_hol6y") +response_template = NodePath("ResponseExample") + +[node name="ResponseExample" type="Button" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2/ResponsesMenu"] +layout_mode = 2 +theme_override_colors/font_focus_color = Color(0.011764706, 0.68235296, 0.27058825, 1) +theme_override_colors/font_hover_color = Color(0.011764706, 0.68235296, 0.27058825, 1) +theme_override_font_sizes/font_size = 32 +text = "Response example" +alignment = 0 + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +unique_name_in_owner = true + +[connection signal="gui_input" from="Balloon" to="." method="_on_balloon_gui_input"] +[connection signal="meta_hover_ended" from="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer/DialogueLabel" to="." method="_on_dialogue_label_meta_hover_ended"] +[connection signal="response_selected" from="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2/ResponsesMenu" to="." method="_on_responses_menu_response_selected"] diff --git a/addons/dialogue_manager/game_balloons/game_balloon_v_3.tscn b/addons/dialogue_manager/game_balloons/game_balloon_v_3.tscn new file mode 100644 index 0000000..d017120 --- /dev/null +++ b/addons/dialogue_manager/game_balloons/game_balloon_v_3.tscn @@ -0,0 +1,182 @@ +[gd_scene load_steps=13 format=3 uid="uid://dd7wybycpufwm"] + +[ext_resource type="Script" uid="uid://dw0hgklv36ei0" path="res://addons/dialogue_manager/game_balloons/game_balloon_v_2.gd" id="1_1f47g"] +[ext_resource type="FontFile" uid="uid://ub0pauqeelw8" path="res://assets/Fonts/Perfect DOS VGA 437.ttf" id="2_nuo8t"] +[ext_resource type="Script" uid="uid://tsgi2x8suqcv" path="res://addons/dialogue_manager/game_balloons/head_text.gd" id="3_ps53m"] +[ext_resource type="PackedScene" uid="uid://ckvgyvclnwggo" path="res://addons/dialogue_manager/dialogue_label.tscn" id="4_ec54f"] +[ext_resource type="Script" uid="uid://bb52rsfwhkxbn" path="res://addons/dialogue_manager/dialogue_responses_menu.gd" id="5_cgph6"] +[ext_resource type="FontFile" uid="uid://xyyowbn8d8hq" path="res://assets/Fonts/LessPerfectDOSVGA.ttf" id="5_nuo8t"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_spyqn"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(0.329412, 0.329412, 0.329412, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ri4m3"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(1, 1, 1, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_e0njw"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(0.6, 0.6, 0.6, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_srvxo"] +bg_color = Color(0.11858138, 0.11858139, 0.11858132, 1) +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="Theme" id="Theme_qq3yp"] +default_font_size = 20 +Button/colors/font_focus_color = Color(0.7258277, 0.11823044, 0.94382197, 1) +Button/colors/font_hover_color = Color(0.7254902, 0.11764706, 0.94509804, 1) +Button/fonts/font = ExtResource("2_nuo8t") +Button/styles/disabled = SubResource("StyleBoxFlat_spyqn") +Button/styles/focus = SubResource("StyleBoxFlat_ri4m3") +Button/styles/hover = SubResource("StyleBoxFlat_e0njw") +Button/styles/normal = SubResource("StyleBoxFlat_e0njw") +MarginContainer/constants/margin_bottom = 15 +MarginContainer/constants/margin_left = 30 +MarginContainer/constants/margin_right = 30 +MarginContainer/constants/margin_top = 15 +PanelContainer/styles/panel = SubResource("StyleBoxFlat_srvxo") + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_y76or"] +bg_color = Color(0.17402825, 0.17402828, 0.17402813, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 + +[node name="GameBalloonV2" type="CanvasLayer"] +layer = 100 +script = ExtResource("1_1f47g") + +[node name="Balloon" type="Control" parent="."] +unique_name_in_owner = true +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme = SubResource("Theme_qq3yp") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon"] +layout_mode = 1 +anchors_preset = 12 +anchor_top = 1.0 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_left = 120.0 +offset_top = -880.0 +offset_right = -900.0 +offset_bottom = -520.0 +grow_horizontal = 2 +grow_vertical = 0 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer"] +layout_mode = 2 +theme_override_constants/separation = 0 + +[node name="HeadPanelContainer" type="PanelContainer" parent="Balloon/MarginContainer/VBoxContainer"] +custom_minimum_size = Vector2(0, 25) +layout_mode = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_y76or") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/HeadPanelContainer"] +layout_mode = 2 +theme_override_constants/margin_top = 5 +theme_override_constants/margin_bottom = 5 + +[node name="HeadText" type="RichTextLabel" parent="Balloon/MarginContainer/VBoxContainer/HeadPanelContainer/MarginContainer"] +layout_mode = 2 +theme_override_fonts/normal_font = ExtResource("2_nuo8t") +text = "/Level_1/" +fit_content = true +horizontal_alignment = 1 +script = ExtResource("3_ps53m") + +[node name="PanelContainer" type="PanelContainer" parent="Balloon/MarginContainer/VBoxContainer"] +clip_children = 2 +layout_mode = 2 +mouse_filter = 1 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer"] +custom_minimum_size = Vector2(0, 300) +layout_mode = 2 + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer"] +layout_mode = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer"] +layout_mode = 2 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="CharacterLabel" type="RichTextLabel" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer"] +unique_name_in_owner = true +modulate = Color(1, 1, 1, 0.501961) +layout_mode = 2 +mouse_filter = 1 +theme_override_fonts/normal_font = ExtResource("2_nuo8t") +theme_override_font_sizes/normal_font_size = 24 +bbcode_enabled = true +text = "Character" +fit_content = true +scroll_active = false + +[node name="DialogueLabel" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer" instance=ExtResource("4_ec54f")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 3 +theme_override_fonts/normal_font = ExtResource("5_nuo8t") +text = "Dialogue..." + +[node name="Control" type="Control" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer"] +custom_minimum_size = Vector2(20, 10) +layout_mode = 2 +size_flags_vertical = 8 + +[node name="Progress" type="Polygon2D" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/Control"] +unique_name_in_owner = true +visible = false +polygon = PackedVector2Array(0, 0, 10, 10, 20, 0) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/Control"] +autoplay = "progress" + +[node name="MarginContainer2" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer"] +layout_mode = 2 + +[node name="ResponsesMenu" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2" node_paths=PackedStringArray("response_template")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 8 +theme_override_constants/separation = 2 +script = ExtResource("5_cgph6") +response_template = NodePath("ResponseExample") + +[node name="ResponseExample" type="Button" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2/ResponsesMenu"] +layout_mode = 2 +theme_override_colors/font_focus_color = Color(0.011764706, 0.68235296, 0.27058825, 1) +theme_override_colors/font_hover_color = Color(0.011764706, 0.68235296, 0.27058825, 1) +text = "Response example" +alignment = 0 + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +unique_name_in_owner = true + +[connection signal="gui_input" from="Balloon" to="." method="_on_balloon_gui_input"] +[connection signal="meta_hover_ended" from="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer/DialogueLabel" to="." method="_on_dialogue_label_meta_hover_ended"] +[connection signal="response_selected" from="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2/ResponsesMenu" to="." method="_on_responses_menu_response_selected"] diff --git a/addons/dialogue_manager/game_balloons/game_balloon_v_4.tscn b/addons/dialogue_manager/game_balloons/game_balloon_v_4.tscn new file mode 100644 index 0000000..22a8201 --- /dev/null +++ b/addons/dialogue_manager/game_balloons/game_balloon_v_4.tscn @@ -0,0 +1,185 @@ +[gd_scene load_steps=13 format=3 uid="uid://badfvro4jfkl"] + +[ext_resource type="Script" uid="uid://dw0hgklv36ei0" path="res://addons/dialogue_manager/game_balloons/game_balloon_v_2.gd" id="1_x7ekx"] +[ext_resource type="FontFile" uid="uid://ub0pauqeelw8" path="res://assets/Fonts/Perfect DOS VGA 437.ttf" id="2_14q4r"] +[ext_resource type="Script" uid="uid://tsgi2x8suqcv" path="res://addons/dialogue_manager/game_balloons/head_text.gd" id="3_ko5db"] +[ext_resource type="PackedScene" uid="uid://ckvgyvclnwggo" path="res://addons/dialogue_manager/dialogue_label.tscn" id="4_inu7v"] +[ext_resource type="FontFile" uid="uid://xyyowbn8d8hq" path="res://assets/Fonts/LessPerfectDOSVGA.ttf" id="5_14q4r"] +[ext_resource type="Script" uid="uid://bb52rsfwhkxbn" path="res://addons/dialogue_manager/dialogue_responses_menu.gd" id="5_v3yfa"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_spyqn"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(0.329412, 0.329412, 0.329412, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ri4m3"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(1, 1, 1, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_e0njw"] +bg_color = Color(0, 0, 0, 0) +border_color = Color(0.6, 0.6, 0.6, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_srvxo"] +bg_color = Color(0.11858138, 0.11858139, 0.11858132, 1) +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="Theme" id="Theme_qq3yp"] +default_font_size = 20 +Button/colors/font_focus_color = Color(0.7258277, 0.11823044, 0.94382197, 1) +Button/colors/font_hover_color = Color(0.7254902, 0.11764706, 0.94509804, 1) +Button/fonts/font = ExtResource("2_14q4r") +Button/styles/disabled = SubResource("StyleBoxFlat_spyqn") +Button/styles/focus = SubResource("StyleBoxFlat_ri4m3") +Button/styles/hover = SubResource("StyleBoxFlat_e0njw") +Button/styles/normal = SubResource("StyleBoxFlat_e0njw") +MarginContainer/constants/margin_bottom = 15 +MarginContainer/constants/margin_left = 30 +MarginContainer/constants/margin_right = 30 +MarginContainer/constants/margin_top = 15 +PanelContainer/styles/panel = SubResource("StyleBoxFlat_srvxo") + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_y76or"] +bg_color = Color(0.17402825, 0.17402828, 0.17402813, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 + +[node name="GameBalloonV2" type="CanvasLayer"] +layer = 100 +script = ExtResource("1_x7ekx") + +[node name="Balloon" type="Control" parent="."] +unique_name_in_owner = true +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme = SubResource("Theme_qq3yp") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon"] +layout_mode = 1 +anchors_preset = 12 +anchor_top = 1.0 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_left = 200.0 +offset_top = -880.0 +offset_right = -220.0 +offset_bottom = -480.0 +grow_horizontal = 2 +grow_vertical = 0 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer"] +layout_mode = 2 +theme_override_constants/separation = 0 + +[node name="HeadPanelContainer" type="PanelContainer" parent="Balloon/MarginContainer/VBoxContainer"] +custom_minimum_size = Vector2(0, 25) +layout_mode = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_y76or") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/HeadPanelContainer"] +layout_mode = 2 +theme_override_constants/margin_top = 5 +theme_override_constants/margin_bottom = 5 + +[node name="HeadText" type="RichTextLabel" parent="Balloon/MarginContainer/VBoxContainer/HeadPanelContainer/MarginContainer"] +layout_mode = 2 +theme_override_fonts/normal_font = ExtResource("2_14q4r") +theme_override_font_sizes/normal_font_size = 28 +text = "/Level_1/" +fit_content = true +horizontal_alignment = 1 +script = ExtResource("3_ko5db") + +[node name="PanelContainer" type="PanelContainer" parent="Balloon/MarginContainer/VBoxContainer"] +clip_children = 2 +layout_mode = 2 +size_flags_vertical = 3 +mouse_filter = 1 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer"] +custom_minimum_size = Vector2(0, 300) +layout_mode = 2 + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer"] +layout_mode = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer"] +layout_mode = 2 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="CharacterLabel" type="RichTextLabel" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer"] +unique_name_in_owner = true +modulate = Color(1, 1, 1, 0.501961) +layout_mode = 2 +mouse_filter = 1 +theme_override_fonts/normal_font = ExtResource("2_14q4r") +theme_override_font_sizes/normal_font_size = 28 +bbcode_enabled = true +text = "Character" +fit_content = true +scroll_active = false + +[node name="DialogueLabel" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer" instance=ExtResource("4_inu7v")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 3 +theme_override_fonts/normal_font = ExtResource("5_14q4r") +text = "Dialogue..." + +[node name="Control" type="Control" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer"] +custom_minimum_size = Vector2(20, 10) +layout_mode = 2 +size_flags_vertical = 8 + +[node name="Progress" type="Polygon2D" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/Control"] +unique_name_in_owner = true +visible = false +polygon = PackedVector2Array(0, 0, 10, 10, 20, 0) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/Control"] +autoplay = "progress" + +[node name="MarginContainer2" type="MarginContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer"] +layout_mode = 2 + +[node name="ResponsesMenu" type="VBoxContainer" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2" node_paths=PackedStringArray("response_template")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 8 +theme_override_constants/separation = 2 +script = ExtResource("5_v3yfa") +response_template = NodePath("ResponseExample") + +[node name="ResponseExample" type="Button" parent="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2/ResponsesMenu"] +layout_mode = 2 +theme_override_colors/font_focus_color = Color(0.011764706, 0.68235296, 0.27058825, 1) +theme_override_colors/font_hover_color = Color(0.011764706, 0.68235296, 0.27058825, 1) +theme_override_font_sizes/font_size = 32 +text = "Response example" +alignment = 0 + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +unique_name_in_owner = true + +[connection signal="gui_input" from="Balloon" to="." method="_on_balloon_gui_input"] +[connection signal="meta_hover_ended" from="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer/HBoxContainer/VBoxContainer/DialogueLabel" to="." method="_on_dialogue_label_meta_hover_ended"] +[connection signal="response_selected" from="Balloon/MarginContainer/VBoxContainer/PanelContainer/VBoxContainer/MarginContainer2/ResponsesMenu" to="." method="_on_responses_menu_response_selected"] diff --git a/addons/dialogue_manager/game_balloons/head_text.gd b/addons/dialogue_manager/game_balloons/head_text.gd new file mode 100644 index 0000000..ecea997 --- /dev/null +++ b/addons/dialogue_manager/game_balloons/head_text.gd @@ -0,0 +1,12 @@ +extends RichTextLabel + + +# Called when the node enters the scene tree for the first time. +func _ready() -> void: + var scene_name = get_tree().current_scene.name + text = "/" + scene_name + "/" + + +# Called every frame. 'delta' is the elapsed time since the previous frame. +func _process(delta: float) -> void: + pass diff --git a/addons/dialogue_manager/game_balloons/head_text.gd.uid b/addons/dialogue_manager/game_balloons/head_text.gd.uid new file mode 100644 index 0000000..8346f6e --- /dev/null +++ b/addons/dialogue_manager/game_balloons/head_text.gd.uid @@ -0,0 +1 @@ +uid://tsgi2x8suqcv diff --git a/addons/dialogue_manager/import_plugin.gd b/addons/dialogue_manager/import_plugin.gd new file mode 100644 index 0000000..9c4ad78 --- /dev/null +++ b/addons/dialogue_manager/import_plugin.gd @@ -0,0 +1,110 @@ +@tool +class_name DMImportPlugin extends EditorImportPlugin + + +signal compiled_resource(resource: Resource) + + +const COMPILER_VERSION = 15 + + +func _get_importer_name() -> String: + return "dialogue_manager" + + +func _get_format_version() -> int: + return COMPILER_VERSION + + +func _get_visible_name() -> String: + return "Dialogue" + + +func _get_import_order() -> int: + return -1000 + + +func _get_priority() -> float: + return 1000.0 + + +func _get_resource_type(): + return "Resource" + + +func _get_recognized_extensions() -> PackedStringArray: + return PackedStringArray(["dialogue"]) + + +func _get_save_extension(): + return "tres" + + +func _get_preset_count() -> int: + return 0 + + +func _get_preset_name(preset_index: int) -> String: + return "Unknown" + + +func _get_import_options(path: String, preset_index: int) -> Array: + # When the options array is empty there is a misleading error on export + # that actually means nothing so let's just have an invisible option. + return [{ + name = "defaults", + default_value = true + }] + + +func _get_option_visibility(path: String, option_name: StringName, options: Dictionary) -> bool: + return false + + +func _import(source_file: String, save_path: String, options: Dictionary, platform_variants: Array[String], gen_files: Array[String]) -> Error: + var cache = Engine.get_meta("DMCache") + + # Get the raw file contents + if not FileAccess.file_exists(source_file): return ERR_FILE_NOT_FOUND + + var file: FileAccess = FileAccess.open(source_file, FileAccess.READ) + var raw_text: String = file.get_as_text() + + cache.file_content_changed.emit(source_file, raw_text) + + # Compile the text + var result: DMCompilerResult = DMCompiler.compile_string(raw_text, source_file) + if result.errors.size() > 0: + printerr("%d errors found in %s" % [result.errors.size(), source_file]) + cache.add_errors_to_file(source_file, result.errors) + return OK + + # Get the current addon version + var config: ConfigFile = ConfigFile.new() + config.load("res://addons/dialogue_manager/plugin.cfg") + var version: String = config.get_value("plugin", "version") + + # Save the results to a resource + var resource: DialogueResource = DialogueResource.new() + resource.set_meta("dialogue_manager_version", version) + + resource.using_states = result.using_states + resource.titles = result.titles + resource.first_title = result.first_title + resource.character_names = result.character_names + resource.lines = result.lines + resource.raw_text = result.raw_text + + # Clear errors and possibly trigger any cascade recompiles + cache.add_file(source_file, result) + + var err: Error = ResourceSaver.save(resource, "%s.%s" % [save_path, _get_save_extension()]) + + compiled_resource.emit(resource) + + # Recompile any dependencies + var dependent_paths: PackedStringArray = cache.get_dependent_paths_for_reimport(source_file) + for path in dependent_paths: + append_import_external_resource(path) + + return err diff --git a/addons/dialogue_manager/import_plugin.gd.uid b/addons/dialogue_manager/import_plugin.gd.uid new file mode 100644 index 0000000..e98bfab --- /dev/null +++ b/addons/dialogue_manager/import_plugin.gd.uid @@ -0,0 +1 @@ +uid://dhwpj6ed8soyq diff --git a/addons/dialogue_manager/inspector_plugin.gd b/addons/dialogue_manager/inspector_plugin.gd new file mode 100644 index 0000000..a293353 --- /dev/null +++ b/addons/dialogue_manager/inspector_plugin.gd @@ -0,0 +1,21 @@ +@tool +class_name DMInspectorPlugin extends EditorInspectorPlugin + + +const DialogueEditorProperty = preload("./components/editor_property/editor_property.gd") + + +func _can_handle(object) -> bool: + if object is GDScript: return false + if not object is Node and not object is Resource: return false + if "name" in object and object.name == "Dialogue Manager": return false + return true + + +func _parse_property(object: Object, type, name: String, hint_type, hint_string: String, usage_flags: int, wide: bool) -> bool: + if hint_string == "DialogueResource" or ("dialogue" in name.to_lower() and hint_string == "Resource"): + var property_editor = DialogueEditorProperty.new() + add_property_editor(name, property_editor) + return true + + return false diff --git a/addons/dialogue_manager/inspector_plugin.gd.uid b/addons/dialogue_manager/inspector_plugin.gd.uid new file mode 100644 index 0000000..00c8db8 --- /dev/null +++ b/addons/dialogue_manager/inspector_plugin.gd.uid @@ -0,0 +1 @@ +uid://0x31sbqbikov diff --git a/addons/dialogue_manager/l10n/en.po b/addons/dialogue_manager/l10n/en.po new file mode 100644 index 0000000..30fa090 --- /dev/null +++ b/addons/dialogue_manager/l10n/en.po @@ -0,0 +1,448 @@ +msgid "" +msgstr "" +"Project-Id-Version: Dialogue Manager\n" +"POT-Creation-Date: \n" +"PO-Revision-Date: \n" +"Last-Translator: \n" +"Language-Team: \n" +"Language: en\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" +"X-Generator: Poedit 3.2.2\n" + +msgid "start_a_new_file" +msgstr "Start a new file" + +msgid "open_a_file" +msgstr "Open a file" + +msgid "open.open" +msgstr "Open..." + +msgid "open.quick_open" +msgstr "Quick open..." + +msgid "open.no_recent_files" +msgstr "No recent files" + +msgid "open.clear_recent_files" +msgstr "Clear recent files" + +msgid "save_all_files" +msgstr "Save all files" + +msgid "all" +msgstr "All" + +msgid "find_in_files" +msgstr "Find in Dialogue..." + +msgid "test_dialogue" +msgstr "Test dialogue from start of file" + +msgid "test_dialogue_from_line" +msgstr "Test dialogue from current line" + +msgid "search_for_text" +msgstr "Search for text" + +msgid "insert" +msgstr "Insert" + +msgid "translations" +msgstr "Translations" + +msgid "sponsor" +msgstr "Sponsor" + +msgid "show_support" +msgstr "Support Dialogue Manager" + +msgid "docs" +msgstr "Docs" + +msgid "insert.wave_bbcode" +msgstr "Wave BBCode" + +msgid "insert.shake_bbcode" +msgstr "Shake BBCode" + +msgid "insert.typing_pause" +msgstr "Typing pause" + +msgid "insert.typing_speed_change" +msgstr "Typing speed change" + +msgid "insert.auto_advance" +msgstr "Auto advance" + +msgid "insert.templates" +msgstr "Templates" + +msgid "insert.title" +msgstr "Title" + +msgid "insert.dialogue" +msgstr "Dialogue" + +msgid "insert.response" +msgstr "Response" + +msgid "insert.random_lines" +msgstr "Random lines" + +msgid "insert.random_text" +msgstr "Random text" + +msgid "insert.actions" +msgstr "Actions" + +msgid "insert.jump" +msgstr "Jump to title" + +msgid "insert.end_dialogue" +msgstr "End dialogue" + +msgid "generate_line_ids" +msgstr "Generate line IDs" + +msgid "use_uuid_only_for_ids" +msgstr "Use UUID only for IDs" + +msgid "set_id_prefix_length" +msgstr "Set ID prefix length" + +msgid "id_prefix_length" +msgstr "ID prefix length:" + +msgid "save_characters_to_csv" +msgstr "Save character names to CSV..." + +msgid "save_to_csv" +msgstr "Save lines to CSV..." + +msgid "import_from_csv" +msgstr "Import line changes from CSV..." + +msgid "confirm_close" +msgstr "Save changes to '{path}'?" + +msgid "confirm_close.save" +msgstr "Save changes" + +msgid "confirm_close.discard" +msgstr "Discard" + +msgid "buffer.save" +msgstr "Save" + +msgid "buffer.save_as" +msgstr "Save as..." + +msgid "buffer.close" +msgstr "Close" + +msgid "buffer.close_all" +msgstr "Close all" + +msgid "buffer.close_other_files" +msgstr "Close other files" + +msgid "buffer.copy_file_path" +msgstr "Copy file path" + +msgid "buffer.show_in_filesystem" +msgstr "Show in FileSystem" + +msgid "n_of_n" +msgstr "{index} of {total}" + +msgid "search.find_in_dialogue" +msgstr "Find in Dialogue" + +msgid "search.find" +msgstr "Find:" + +msgid "search.find_all" +msgstr "Find all..." + +msgid "search.placeholder" +msgstr "Text to search for" + +msgid "search.replace_placeholder" +msgstr "Text to replace it with" + +msgid "search.replace_selected" +msgstr "Replace selected" + +msgid "search.previous" +msgstr "Previous" + +msgid "search.next" +msgstr "Next" + +msgid "search.match_case" +msgstr "Match case" + +msgid "search.toggle_replace" +msgstr "Replace" + +msgid "search.replace_with" +msgstr "Replace with:" + +msgid "search.replace" +msgstr "Replace" + +msgid "search.replace_all" +msgstr "Replace all" + +msgid "files_list.filter" +msgstr "Filter files" + +msgid "titles_list.filter" +msgstr "Filter titles" + +msgid "errors.key_not_found" +msgstr "Key \"{key}\" not found." + +msgid "errors.line_and_message" +msgstr "Error at {line}, {column}: {message}" + +msgid "errors_in_script" +msgstr "You have errors in your script. Fix them and then try again." + +msgid "errors_with_build" +msgstr "You need to fix dialogue errors before you can run your game." + +msgid "errors.import_errors" +msgstr "There are errors in this imported file." + +msgid "errors.already_imported" +msgstr "File already imported." + +msgid "errors.duplicate_import" +msgstr "Duplicate import name." + +msgid "errors.unknown_using" +msgstr "Unknown autoload in using statement." + +msgid "errors.empty_title" +msgstr "Titles cannot be empty." + +msgid "errors.duplicate_title" +msgstr "There is already a title with that name." + +msgid "errors.invalid_title_string" +msgstr "Titles can only contain alphanumeric characters and numbers." + +msgid "errors.invalid_title_number" +msgstr "Titles cannot begin with a number." + +msgid "errors.unknown_title" +msgstr "Unknown title." + +msgid "errors.jump_to_invalid_title" +msgstr "This jump is pointing to an invalid title." + +msgid "errors.title_has_no_content" +msgstr "That title has no content. Maybe change this to a \"=> END\"." + +msgid "errors.invalid_expression" +msgstr "Expression is invalid." + +msgid "errors.unexpected_condition" +msgstr "Unexpected condition." + +msgid "errors.duplicate_id" +msgstr "This ID is already on another line." + +msgid "errors.missing_id" +msgstr "This line is missing an ID." + +msgid "errors.invalid_indentation" +msgstr "Invalid indentation." + +msgid "errors.condition_has_no_content" +msgstr "A condition line needs an indented line below it." + +msgid "errors.incomplete_expression" +msgstr "Incomplete expression." + +msgid "errors.invalid_expression_for_value" +msgstr "Invalid expression for value." + +msgid "errors.file_not_found" +msgstr "File not found." + +msgid "errors.unexpected_end_of_expression" +msgstr "Unexpected end of expression." + +msgid "errors.unexpected_function" +msgstr "Unexpected function." + +msgid "errors.unexpected_bracket" +msgstr "Unexpected bracket." + +msgid "errors.unexpected_closing_bracket" +msgstr "Unexpected closing bracket." + +msgid "errors.missing_closing_bracket" +msgstr "Missing closing bracket." + +msgid "errors.unexpected_operator" +msgstr "Unexpected operator." + +msgid "errors.unexpected_comma" +msgstr "Unexpected comma." + +msgid "errors.unexpected_colon" +msgstr "Unexpected colon." + +msgid "errors.unexpected_dot" +msgstr "Unexpected dot." + +msgid "errors.unexpected_boolean" +msgstr "Unexpected boolean." + +msgid "errors.unexpected_string" +msgstr "Unexpected string." + +msgid "errors.unexpected_number" +msgstr "Unexpected number." + +msgid "errors.unexpected_variable" +msgstr "Unexpected variable." + +msgid "errors.invalid_index" +msgstr "Invalid index." + +msgid "errors.unexpected_assignment" +msgstr "Unexpected assignment." + +msgid "errors.expected_when_or_else" +msgstr "Expecting a when or an else case." + +msgid "errors.only_one_else_allowed" +msgstr "Only one else case is allowed per match." + +msgid "errors.when_must_belong_to_match" +msgstr "When statements can only appear as children of match statements." + +msgid "errors.concurrent_line_without_origin" +msgstr "Concurrent lines need an origin line that doesn't start with \"| \"." + +msgid "errors.goto_not_allowed_on_concurrect_lines" +msgstr "Goto references are not allowed on concurrent dialogue lines." + +msgid "errors.unexpected_syntax_on_nested_dialogue_line" +msgstr "Nested dialogue lines may only contain dialogue." + +msgid "errors.err_nested_dialogue_invalid_jump" +msgstr "Only the last line of nested dialogue is allowed to include a jump." + +msgid "errors.missing_resource_for_autostart" +msgstr "You need to specify a dialogue resource when using auto-start." + +msgid "errors.unknown" +msgstr "Unknown syntax." + +msgid "update.available" +msgstr "v{version} available" + +msgid "update.is_available_for_download" +msgstr "Version %s is available for download!" + +msgid "update.downloading" +msgstr "Downloading..." + +msgid "update.download_update" +msgstr "Download update" + +msgid "update.needs_reload" +msgstr "The project needs to be reloaded to install the update." + +msgid "update.reload_ok_button" +msgstr "Reload project" + +msgid "update.reload_cancel_button" +msgstr "Do it later" + +msgid "update.reload_project" +msgstr "Reload project" + +msgid "update.release_notes" +msgstr "Read release notes" + +msgid "update.success" +msgstr "Dialogue Manager is now v{version}." + +msgid "update.failed" +msgstr "There was a problem downloading the update." + +msgid "runtime.no_resource" +msgstr "No dialogue resource provided." + +msgid "runtime.no_content" +msgstr "\"{file_path}\" has no content." + +msgid "runtime.errors" +msgstr "You have {count} errors in your dialogue text." + +msgid "runtime.error_detail" +msgstr "Line {line}: {message}" + +msgid "runtime.errors_see_details" +msgstr "You have {count} errors in your dialogue text. See Output for details." + +msgid "runtime.invalid_expression" +msgstr "\"{expression}\" is not a valid expression: {error}" + +msgid "runtime.array_index_out_of_bounds" +msgstr "Index {index} out of bounds of array \"{array}\"." + +msgid "runtime.left_hand_size_cannot_be_assigned_to" +msgstr "Left hand side of expression cannot be assigned to." + +msgid "runtime.key_not_found" +msgstr "Key \"{key}\" not found in dictionary \"{dictionary}\"" + +msgid "runtime.property_not_found" +msgstr "\"{property}\" not found. States with directly referenceable properties/methods/signals include {states}. Autoloads need to be referenced by their name to use their properties." + +msgid "runtime.property_not_found_missing_export" +msgstr "\"{property}\" not found. You might need to add an [Export] decorator. States with directly referenceable properties/methods/signals include {states}. Autoloads need to be referenced by their name to use their properties." + +msgid "runtime.method_not_found" +msgstr "Method \"{method}\" not found. States with directly referenceable properties/methods/signals include {states}. Autoloads need to be referenced by their name to use their properties." + +msgid "runtime.signal_not_found" +msgstr "Signal \"{signal_name}\" not found. States with directly referenceable properties/methods/signals include {states}. Autoloads need to be referenced by their name to use their properties." + +msgid "runtime.method_not_callable" +msgstr "\"{method}\" is not a callable method on \"{object}\"" + +msgid "runtime.unknown_operator" +msgstr "Unknown operator." + +msgid "runtime.unknown_autoload" +msgstr "\"{autoload}\" doesn't appear to be a valid autoload." + +msgid "runtime.something_went_wrong" +msgstr "Something went wrong." + +msgid "runtime.expected_n_got_n_args" +msgstr "\"{method}\" was called with {received} arguments but it only has {expected}." + +msgid "runtime.unsupported_array_type" +msgstr "Array[{type}] isn't supported in mutations. Use Array as a type instead." + +msgid "runtime.dialogue_balloon_missing_start_method" +msgstr "Your dialogue balloon is missing a \"start\" or \"Start\" method." + +msgid "runtime.top_level_states_share_name" +msgstr "Multiple top-level states ({states}) share method/property/signal name \"{key}\". Only the first occurance is accessible to dialogue." + +msgid "translation_plugin.character_name" +msgstr "Character name" \ No newline at end of file diff --git a/addons/dialogue_manager/l10n/es.po b/addons/dialogue_manager/l10n/es.po new file mode 100644 index 0000000..6c6bffb --- /dev/null +++ b/addons/dialogue_manager/l10n/es.po @@ -0,0 +1,387 @@ +# +msgid "" +msgstr "" +"Project-Id-Version: Dialogue Manager\n" +"POT-Creation-Date: 2024-02-25 20:58\n" +"PO-Revision-Date: 2024-02-25 20:58\n" +"Last-Translator: you \n" +"Language-Team: Spanish \n" +"Language: es\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=utf-8\n" +"Content-Transfer-Encoding: 8bit\n" + +msgid "start_a_new_file" +msgstr "Crear un nuevo archivo" + +msgid "open_a_file" +msgstr "Abrir un archivo" + +msgid "open.open" +msgstr "Abrir..." + +msgid "open.no_recent_files" +msgstr "No hay archivos recientes" + +msgid "open.clear_recent_files" +msgstr "Limpiar archivos recientes" + +msgid "save_all_files" +msgstr "Guardar todos los archivos" + +msgid "test_dialogue" +msgstr "Diálogo de prueba" + +msgid "search_for_text" +msgstr "Buscar texto" + +msgid "insert" +msgstr "Insertar" + +msgid "translations" +msgstr "Traducciones" + +msgid "show_support" +msgstr "Contribuye con Dialogue Manager" + +msgid "docs" +msgstr "Docs" + +msgid "insert.wave_bbcode" +msgstr "BBCode ondulado" + +msgid "insert.shake_bbcode" +msgstr "BBCode agitado" + +msgid "insert.typing_pause" +msgstr "Pausa de escritura" + +msgid "insert.typing_speed_change" +msgstr "Cambiar la velocidad de escritura" + +msgid "insert.auto_advance" +msgstr "Avance automático" + +msgid "insert.templates" +msgstr "Plantillas" + +msgid "insert.title" +msgstr "Título" + +msgid "insert.dialogue" +msgstr "Diálogo" + +msgid "insert.response" +msgstr "Respuesta" + +msgid "insert.random_lines" +msgstr "Líneas aleatorias" + +msgid "insert.random_text" +msgstr "Texto aleatorio" + +msgid "insert.actions" +msgstr "Acciones" + +msgid "insert.jump" +msgstr "Ir al título" + +msgid "insert.end_dialogue" +msgstr "Finalizar diálogo" + +msgid "generate_line_ids" +msgstr "Generar IDs de línea" + +msgid "use_uuid_only_for_ids" +msgstr "Usar solo UUID como ID" + +msgid "set_id_prefix_length" +msgstr "Establecer la longitud del prefijo de ID" + +msgid "id_prefix_length" +msgstr "Longitud del prefijo de ID:" + +msgid "save_characters_to_csv" +msgstr "Guardar los nombres de los personajes en un archivo CSV..." + +msgid "save_to_csv" +msgstr "Guardar líneas en CSV..." + +msgid "import_from_csv" +msgstr "Importar cambios de línea desde CSV..." + +msgid "confirm_close" +msgstr "¿Guardar los cambios en '{path}'?" + +msgid "confirm_close.save" +msgstr "Guardar cambios" + +msgid "confirm_close.discard" +msgstr "Descartar" + +msgid "buffer.save" +msgstr "Guardar" + +msgid "buffer.save_as" +msgstr "Guardar como..." + +msgid "buffer.close" +msgstr "Cerrar" + +msgid "buffer.close_all" +msgstr "Cerrar todo" + +msgid "buffer.close_other_files" +msgstr "Cerrar otros archivos" + +msgid "buffer.copy_file_path" +msgstr "Copiar la ruta del archivo" + +msgid "buffer.show_in_filesystem" +msgstr "Mostrar en el sistema de archivos" + +msgid "n_of_n" +msgstr "{index} de {total}" + +msgid "search.previous" +msgstr "Anterior" + +msgid "search.next" +msgstr "Siguiente" + +msgid "search.match_case" +msgstr "Coincidir mayúsculas/minúsculas" + +msgid "search.toggle_replace" +msgstr "Reemplazar" + +msgid "search.replace_with" +msgstr "Reemplazar con:" + +msgid "search.replace" +msgstr "Reemplazar" + +msgid "search.replace_all" +msgstr "Reemplazar todo" + +msgid "files_list.filter" +msgstr "Filtrar archivos" + +msgid "titles_list.filter" +msgstr "Filtrar títulos" + +msgid "errors.key_not_found" +msgstr "La tecla \"{key}\" no se encuentra." + +msgid "errors.line_and_message" +msgstr "Error en {line}, {column}: {message}" + +msgid "errors_in_script" +msgstr "Tienes errores en tu guion. Corrígelos y luego inténtalo de nuevo." + +msgid "errors_with_build" +msgstr "Debes corregir los errores de diálogo antes de poder ejecutar tu juego." + +msgid "errors.import_errors" +msgstr "Hay errores en este archivo importado." + +msgid "errors.already_imported" +msgstr "Archivo ya importado." + +msgid "errors.duplicate_import" +msgstr "Nombre de importación duplicado." + +msgid "errors.unknown_using" +msgstr "Autoload desconocida en la declaración de uso." + +msgid "errors.empty_title" +msgstr "Los títulos no pueden estar vacíos." + +msgid "errors.duplicate_title" +msgstr "Ya hay un título con ese nombre." + +msgid "errors.nested_title" +msgstr "Los títulos no pueden tener sangría." + +msgid "errors.invalid_title_string" +msgstr "Los títulos solo pueden contener caracteres alfanuméricos y números." + +msgid "errors.invalid_title_number" +msgstr "Los títulos no pueden empezar con un número." + +msgid "errors.unknown_title" +msgstr "Título desconocido." + +msgid "errors.jump_to_invalid_title" +msgstr "Este salto está apuntando a un título inválido." + +msgid "errors.title_has_no_content" +msgstr "Ese título no tiene contenido. Quizá cambiarlo a \"=> FIN\"." + +msgid "errors.invalid_expression" +msgstr "La expresión es inválida." + +msgid "errors.unexpected_condition" +msgstr "Condición inesperada." + +msgid "errors.duplicate_id" +msgstr "Este ID ya está en otra línea." + +msgid "errors.missing_id" +msgstr "Esta línea está sin ID." + +msgid "errors.invalid_indentation" +msgstr "Sangría no válida." + +msgid "errors.condition_has_no_content" +msgstr "Una línea de condición necesita una línea sangrada debajo de ella." + +msgid "errors.incomplete_expression" +msgstr "Expresión incompleta." + +msgid "errors.invalid_expression_for_value" +msgstr "Expresión no válida para valor." + +msgid "errors.file_not_found" +msgstr "Archivo no encontrado." + +msgid "errors.unexpected_end_of_expression" +msgstr "Fin de expresión inesperado." + +msgid "errors.unexpected_function" +msgstr "Función inesperada." + +msgid "errors.unexpected_bracket" +msgstr "Corchete inesperado." + +msgid "errors.unexpected_closing_bracket" +msgstr "Bracket de cierre inesperado." + +msgid "errors.missing_closing_bracket" +msgstr "Falta cerrar corchete." + +msgid "errors.unexpected_operator" +msgstr "Operador inesperado." + +msgid "errors.unexpected_comma" +msgstr "Coma inesperada." + +msgid "errors.unexpected_colon" +msgstr "Dos puntos inesperados" + +msgid "errors.unexpected_dot" +msgstr "Punto inesperado." + +msgid "errors.unexpected_boolean" +msgstr "Booleano inesperado." + +msgid "errors.unexpected_string" +msgstr "String inesperado." + +msgid "errors.unexpected_number" +msgstr "Número inesperado." + +msgid "errors.unexpected_variable" +msgstr "Variable inesperada." + +msgid "errors.invalid_index" +msgstr "Índice no válido." + +msgid "errors.unexpected_assignment" +msgstr "Asignación inesperada." + +msgid "errors.unknown" +msgstr "Sintaxis desconocida." + +msgid "update.available" +msgstr "v{version} disponible" + +msgid "update.is_available_for_download" +msgstr "¡La versión %s ya está disponible para su descarga!" + +msgid "update.downloading" +msgstr "Descargando..." + +msgid "update.download_update" +msgstr "Descargar actualización" + +msgid "update.needs_reload" +msgstr "El proyecto debe ser recargado para instalar la actualización." + +msgid "update.reload_ok_button" +msgstr "Recargar proyecto" + +msgid "update.reload_cancel_button" +msgstr "Hazlo más tarde" + +msgid "update.reload_project" +msgstr "Recargar proyecto" + +msgid "update.release_notes" +msgstr "Leer las notas de la versión" + +msgid "update.success" +msgstr "El Gestor de Diálogo ahora es v{versión}." + +msgid "update.failed" +msgstr "Hubo un problema al descargar la actualización." + +msgid "runtime.no_resource" +msgstr "Recurso de diálogo no proporcionado." + +msgid "runtime.no_content" +msgstr "\"{file_path}\" no tiene contenido." + +msgid "runtime.errors" +msgstr "Tienes {count} errores en tu diálogo de texto." + +msgid "runtime.error_detail" +msgstr "Línea {line}: {message}" + +msgid "runtime.errors_see_details" +msgstr "Tienes {count} errores en tu texto de diálogo. Consulta la salida para más detalles." + +msgid "runtime.invalid_expression" +msgstr "\"{expression}\" no es una expresión válida: {error}" + +msgid "runtime.array_index_out_of_bounds" +msgstr "Índice {index} fuera de los límites del array \"{array}\"." + +msgid "runtime.left_hand_size_cannot_be_assigned_to" +msgstr "El lado izquierdo de la expresión no se puede asignar." + +msgid "runtime.key_not_found" +msgstr "Clave \"{key}\" no encontrada en el diccionario \"{dictionary}\"" + +msgid "runtime.property_not_found" +msgstr "\"{property}\" no es una propiedad en ningún estado del juego ({states})." + +msgid "runtime.property_not_found_missing_export" +msgstr "\"{property}\" no es una propiedad en ningún estado del juego ({states}). Es posible que necesites añadir un decorador [Export]." + +msgid "runtime.method_not_found" +msgstr "\"{method}\" no es un método en ningún estado del juego ({states})" + +msgid "runtime.signal_not_found" +msgstr "\"{signal_name}\" no es una señal en ningún estado del juego ({states})" + +msgid "runtime.method_not_callable" +msgstr "\"{method}\" no es un método llamable en \"{object}\"" + +msgid "runtime.unknown_operator" +msgstr "Operador desconocido." + +msgid "runtime.unknown_autoload" +msgstr "\"{autoload}\" parece no ser un autoload válido." + +msgid "runtime.something_went_wrong" +msgstr "Algo salió mal." + +msgid "runtime.expected_n_got_n_args" +msgstr "El método \"{method}\" se llamó con {received} argumentos, pero solo tiene {expected}." + +msgid "runtime.unsupported_array_type" +msgstr "Array[{type}] no está soportado en mutaciones. Utiliza Array como tipo en su lugar." + +msgid "runtime.dialogue_balloon_missing_start_method" +msgstr "Tu globo de diálogo no tiene un método \"start\" o \"Start\"." diff --git a/addons/dialogue_manager/l10n/translations.pot b/addons/dialogue_manager/l10n/translations.pot new file mode 100644 index 0000000..b2ab349 --- /dev/null +++ b/addons/dialogue_manager/l10n/translations.pot @@ -0,0 +1,438 @@ +msgid "" +msgstr "" +"Project-Id-Version: Dialogue Manager\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8-bit\n" + +msgid "start_a_new_file" +msgstr "" + +msgid "open_a_file" +msgstr "" + +msgid "open.open" +msgstr "" + +msgid "open.quick_open" +msgstr "" + +msgid "open.no_recent_files" +msgstr "" + +msgid "open.clear_recent_files" +msgstr "" + +msgid "save_all_files" +msgstr "" + +msgid "all" +msgstr "" + +msgid "find_in_files" +msgstr "" + +msgid "test_dialogue" +msgstr "" + +msgid "test_dialogue_from_line" +msgstr "" + +msgid "search_for_text" +msgstr "" + +msgid "insert" +msgstr "" + +msgid "translations" +msgstr "" + +msgid "sponsor" +msgstr "" + +msgid "show_support" +msgstr "" + +msgid "docs" +msgstr "" + +msgid "insert.wave_bbcode" +msgstr "" + +msgid "insert.shake_bbcode" +msgstr "" + +msgid "insert.typing_pause" +msgstr "" + +msgid "insert.typing_speed_change" +msgstr "" + +msgid "insert.auto_advance" +msgstr "" + +msgid "insert.templates" +msgstr "" + +msgid "insert.title" +msgstr "" + +msgid "insert.dialogue" +msgstr "" + +msgid "insert.response" +msgstr "" + +msgid "insert.random_lines" +msgstr "" + +msgid "insert.random_text" +msgstr "" + +msgid "insert.actions" +msgstr "" + +msgid "insert.jump" +msgstr "" + +msgid "insert.end_dialogue" +msgstr "" + +msgid "generate_line_ids" +msgstr "" + +msgid "use_uuid_only_for_ids" +msgstr "" + +msgid "set_id_prefix_length" +msgstr "" + +msgid "id_prefix_length" +msgstr "" + +msgid "save_to_csv" +msgstr "" + +msgid "import_from_csv" +msgstr "" + +msgid "confirm_close" +msgstr "" + +msgid "confirm_close.save" +msgstr "" + +msgid "confirm_close.discard" +msgstr "" + +msgid "buffer.save" +msgstr "" + +msgid "buffer.save_as" +msgstr "" + +msgid "buffer.close" +msgstr "" + +msgid "buffer.close_all" +msgstr "" + +msgid "buffer.close_other_files" +msgstr "" + +msgid "buffer.copy_file_path" +msgstr "" + +msgid "buffer.show_in_filesystem" +msgstr "" + +msgid "n_of_n" +msgstr "" + +msgid "search.find_in_dialogue" +msgstr "" + +msgid "search.find" +msgstr "" + +msgid "search.find_all" +msgstr "" + +msgid "search.placeholder" +msgstr "" + +msgid "search.replace_placeholder" +msgstr "" + +msgid "search.replace_selected" +msgstr "" + +msgid "search.previous" +msgstr "" + +msgid "search.next" +msgstr "" + +msgid "search.match_case" +msgstr "" + +msgid "search.toggle_replace" +msgstr "" + +msgid "search.replace_with" +msgstr "" + +msgid "search.replace" +msgstr "" + +msgid "search.replace_all" +msgstr "" + +msgid "files_list.filter" +msgstr "" + +msgid "titles_list.filter" +msgstr "" + +msgid "errors.key_not_found" +msgstr "" + +msgid "errors.line_and_message" +msgstr "" + +msgid "errors_in_script" +msgstr "" + +msgid "errors_with_build" +msgstr "" + +msgid "errors.import_errors" +msgstr "" + +msgid "errors.already_imported" +msgstr "" + +msgid "errors.duplicate_import" +msgstr "" + +msgid "errors.unknown_using" +msgstr "" + +msgid "errors.empty_title" +msgstr "" + +msgid "errors.duplicate_title" +msgstr "" + +msgid "errors.invalid_title_string" +msgstr "" + +msgid "errors.invalid_title_number" +msgstr "" + +msgid "errors.unknown_title" +msgstr "" + +msgid "errors.jump_to_invalid_title" +msgstr "" + +msgid "errors.title_has_no_content" +msgstr "" + +msgid "errors.invalid_expression" +msgstr "" + +msgid "errors.unexpected_condition" +msgstr "" + +msgid "errors.duplicate_id" +msgstr "" + +msgid "errors.missing_id" +msgstr "" + +msgid "errors.invalid_indentation" +msgstr "" + +msgid "errors.condition_has_no_content" +msgstr "" + +msgid "errors.incomplete_expression" +msgstr "" + +msgid "errors.invalid_expression_for_value" +msgstr "" + +msgid "errors.file_not_found" +msgstr "" + +msgid "errors.unexpected_end_of_expression" +msgstr "" + +msgid "errors.unexpected_function" +msgstr "" + +msgid "errors.unexpected_bracket" +msgstr "" + +msgid "errors.unexpected_closing_bracket" +msgstr "" + +msgid "errors.missing_closing_bracket" +msgstr "" + +msgid "errors.unexpected_operator" +msgstr "" + +msgid "errors.unexpected_comma" +msgstr "" + +msgid "errors.unexpected_colon" +msgstr "" + +msgid "errors.unexpected_dot" +msgstr "" + +msgid "errors.unexpected_boolean" +msgstr "" + +msgid "errors.unexpected_string" +msgstr "" + +msgid "errors.unexpected_number" +msgstr "" + +msgid "errors.unexpected_variable" +msgstr "" + +msgid "errors.invalid_index" +msgstr "" + +msgid "errors.unexpected_assignment" +msgstr "" + +msgid "errors.expected_when_or_else" +msgstr "" + +msgid "errors.only_one_else_allowed" +msgstr "" + +msgid "errors.when_must_belong_to_match" +msgstr "" + +msgid "errors.concurrent_line_without_origin" +msgstr "" + +msgid "errors.goto_not_allowed_on_concurrect_lines" +msgstr "" + +msgid "errors.unexpected_syntax_on_nested_dialogue_line" +msgstr "" + +msgid "errors.err_nested_dialogue_invalid_jump" +msgstr "" + +msgid "errors.missing_resource_for_autostart" +msgstr "" + +msgid "errors.unknown" +msgstr "" + +msgid "update.available" +msgstr "" + +msgid "update.is_available_for_download" +msgstr "" + +msgid "update.downloading" +msgstr "" + +msgid "update.download_update" +msgstr "" + +msgid "update.needs_reload" +msgstr "" + +msgid "update.reload_ok_button" +msgstr "" + +msgid "update.reload_cancel_button" +msgstr "" + +msgid "update.reload_project" +msgstr "" + +msgid "update.release_notes" +msgstr "" + +msgid "update.success" +msgstr "" + +msgid "update.failed" +msgstr "" + +msgid "runtime.no_resource" +msgstr "" + +msgid "runtime.no_content" +msgstr "" + +msgid "runtime.errors" +msgstr "" + +msgid "runtime.error_detail" +msgstr "" + +msgid "runtime.errors_see_details" +msgstr "" + +msgid "runtime.invalid_expression" +msgstr "" + +msgid "runtime.array_index_out_of_bounds" +msgstr "" + +msgid "runtime.left_hand_size_cannot_be_assigned_to" +msgstr "" + +msgid "runtime.key_not_found" +msgstr "" + +msgid "runtime.property_not_found" +msgstr "" + +msgid "runtime.property_not_found_missing_export" +msgstr "" + +msgid "runtime.method_not_found" +msgstr "" + +msgid "runtime.signal_not_found" +msgstr "" + +msgid "runtime.method_not_callable" +msgstr "" + +msgid "runtime.unknown_operator" +msgstr "" + +msgid "runtime.unknown_autoload" +msgstr "" + +msgid "runtime.something_went_wrong" +msgstr "" + +msgid "runtime.expected_n_got_n_args" +msgstr "" + +msgid "runtime.unsupported_array_type" +msgstr "" + +msgid "runtime.dialogue_balloon_missing_start_method" +msgstr "" + +msgid "runtime.top_level_states_share_name" +msgstr "" + +msgid "translation_plugin.character_name" +msgstr "" \ No newline at end of file diff --git a/addons/dialogue_manager/l10n/uk.po b/addons/dialogue_manager/l10n/uk.po new file mode 100644 index 0000000..43dd51b --- /dev/null +++ b/addons/dialogue_manager/l10n/uk.po @@ -0,0 +1,438 @@ +msgid "" +msgstr "" +"Project-Id-Version: Dialogue Manager\n" +"POT-Creation-Date: \n" +"PO-Revision-Date: \n" +"Last-Translator: \n" +"Language-Team: \n" +"Language: uk\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"X-Generator: Poedit 3.2.2\n" + +msgid "start_a_new_file" +msgstr "Створити новий файл" + +msgid "open_a_file" +msgstr "Відкрити файл" + +msgid "open.open" +msgstr "Відкрити..." + +msgid "open.quick_open" +msgstr "Швидко відкрити..." + +msgid "open.no_recent_files" +msgstr "Жодних недавніх файлів" + +msgid "open.clear_recent_files" +msgstr "Очистити недавні файли" + +msgid "save_all_files" +msgstr "Зберегти всі файли" + +msgid "find_in_files" +msgstr "Знайти у файлах..." + +msgid "test_dialogue" +msgstr "Протестувати діалог з початку файлу" + +msgid "test_dialogue_from_line" +msgstr "Протестувати діалог з поточного рядка" + +msgid "search_for_text" +msgstr "Пошук тексту" + +msgid "insert" +msgstr "Вставити" + +msgid "translations" +msgstr "Переклади" + +msgid "sponsor" +msgstr "Спонсор" + +msgid "show_support" +msgstr "Підтримка Dialogue Manager" + +msgid "docs" +msgstr "Документація" + +msgid "insert.wave_bbcode" +msgstr "Хвиля BBCode" + +msgid "insert.shake_bbcode" +msgstr "Тряска BBCode" + +msgid "insert.typing_pause" +msgstr "Пауза друку" + +msgid "insert.typing_speed_change" +msgstr "Зміна швидкості друку" + +msgid "insert.auto_advance" +msgstr "Автоматичне просування" + +msgid "insert.templates" +msgstr "Шаблони" + +msgid "insert.title" +msgstr "Заголовок" + +msgid "insert.dialogue" +msgstr "Діалог" + +msgid "insert.response" +msgstr "Відповідь" + +msgid "insert.random_lines" +msgstr "Випадкові рядки" + +msgid "insert.random_text" +msgstr "Випадковий текст" + +msgid "insert.actions" +msgstr "Дії" + +msgid "insert.jump" +msgstr "Перейти до заголовку" + +msgid "insert.end_dialogue" +msgstr "Кінець діалогу" + +msgid "generate_line_ids" +msgstr "Згенерувати ідентифікатори рядків" + +msgid "use_uuid_only_for_ids" +msgstr "Використовувати лише UUID як ID" + +msgid "set_id_prefix_length" +msgstr "Встановити довжину префікса ID" + +msgid "id_prefix_length" +msgstr "Довжина префікса ID:" + +msgid "save_characters_to_csv" +msgstr "Зберегти імена персонажів в CSV..." + +msgid "save_to_csv" +msgstr "Зберегти рядки в CSV..." + +msgid "import_from_csv" +msgstr "Імпортувати зміни рядків з CSV..." + +msgid "confirm_close" +msgstr "Зберегти зміни до «{path}»?" + +msgid "confirm_close.save" +msgstr "Зберегти зміни" + +msgid "confirm_close.discard" +msgstr "Скасувати" + +msgid "buffer.save" +msgstr "Зберегти" + +msgid "buffer.save_as" +msgstr "Зберегти як..." + +msgid "buffer.close" +msgstr "Закрити" + +msgid "buffer.close_all" +msgstr "Закрити все" + +msgid "buffer.close_other_files" +msgstr "Закрити інші файли" + +msgid "buffer.copy_file_path" +msgstr "Копіювати шлях файлу" + +msgid "buffer.show_in_filesystem" +msgstr "Показати у файловій системі" + +msgid "n_of_n" +msgstr "{index} з {total}" + +msgid "search.find" +msgstr "Знайти:" + +msgid "search.find_all" +msgstr "Знайти всі..." + +msgid "search.placeholder" +msgstr "Текст для пошуку" + +msgid "search.replace_placeholder" +msgstr "Текст для заміни" + +msgid "search.replace_selected" +msgstr "Замінити вибране" + +msgid "search.previous" +msgstr "Назад" + +msgid "search.next" +msgstr "Далі" + +msgid "search.match_case" +msgstr "Збіг регістру" + +msgid "search.toggle_replace" +msgstr "Замінити" + +msgid "search.replace_with" +msgstr "Замінити на:" + +msgid "search.replace" +msgstr "Замінити" + +msgid "search.replace_all" +msgstr "Замінити все" + +msgid "files_list.filter" +msgstr "Фільтр файлів" + +msgid "titles_list.filter" +msgstr "Фільтр заголовків" + +msgid "errors.key_not_found" +msgstr "Ключ «{key}» не знайдено." + +msgid "errors.line_and_message" +msgstr "Помилка в {line}, {column}: {message}" + +msgid "errors_in_script" +msgstr "У вашому скрипті є помилки. Виправте їх і спробуйте ще раз." + +msgid "errors_with_build" +msgstr "Вам потрібно виправити помилки в діалогах, перш ніж ви зможете запустити гру." + +msgid "errors.import_errors" +msgstr "В імпортованому файлі є помилки." + +msgid "errors.already_imported" +msgstr "Файл уже імпортовано." + +msgid "errors.duplicate_import" +msgstr "Дублювання назви імпорту." + +msgid "errors.unknown_using" +msgstr "Невідоме автозавантаження в операторі «using»." + +msgid "errors.empty_title" +msgstr "Заголовки не можуть бути порожніми." + +msgid "errors.duplicate_title" +msgstr "Заголовок з такою назвою уже є." + +msgid "errors.invalid_title_string" +msgstr "Заголовки можуть містити лише алфавітно-цифрові символи та цифри." + +msgid "errors.invalid_title_number" +msgstr "Заголовки не можуть починатися з цифри." + +msgid "errors.unknown_title" +msgstr "Невідомий заголовок." + +msgid "errors.jump_to_invalid_title" +msgstr "Цей перехід вказує на недійсний заголовок." + +msgid "errors.title_has_no_content" +msgstr "Цей заголовок не має змісту. Можливо, варто змінити його на «=> END»." + +msgid "errors.invalid_expression" +msgstr "Вираз є недійсним." + +msgid "errors.unexpected_condition" +msgstr "Несподівана умова." + +msgid "errors.duplicate_id" +msgstr "Цей ідентифікатор уже є на іншому рядку." + +msgid "errors.missing_id" +msgstr "У цьому рядку відсутній ідентифікатор." + +msgid "errors.invalid_indentation" +msgstr "Неправильний відступ." + +msgid "errors.condition_has_no_content" +msgstr "Рядок умови потребує відступу під ним." + +msgid "errors.incomplete_expression" +msgstr "Незавершений вираз." + +msgid "errors.invalid_expression_for_value" +msgstr "Недійсний вираз для значення." + +msgid "errors.file_not_found" +msgstr "Файл не знайдено." + +msgid "errors.unexpected_end_of_expression" +msgstr "Несподіваний кінець виразу." + +msgid "errors.unexpected_function" +msgstr "Несподівана функція." + +msgid "errors.unexpected_bracket" +msgstr "Несподівана дужка." + +msgid "errors.unexpected_closing_bracket" +msgstr "Несподівана закриваюча дужка." + +msgid "errors.missing_closing_bracket" +msgstr "Відсутня закриваюча дужка." + +msgid "errors.unexpected_operator" +msgstr "Несподіваний оператор." + +msgid "errors.unexpected_comma" +msgstr "Несподівана кома." + +msgid "errors.unexpected_colon" +msgstr "Несподівана двокрапка." + +msgid "errors.unexpected_dot" +msgstr "Несподівана крапка." + +msgid "errors.unexpected_boolean" +msgstr "Несподіваний логічний вираз." + +msgid "errors.unexpected_string" +msgstr "Несподіваний рядок." + +msgid "errors.unexpected_number" +msgstr "Несподіване число." + +msgid "errors.unexpected_variable" +msgstr "Несподівана змінна." + +msgid "errors.invalid_index" +msgstr "Недійсний індекс." + +msgid "errors.unexpected_assignment" +msgstr "Несподіване призначення." + +msgid "errors.expected_when_or_else" +msgstr "Очікувався випадок «when» або «else»." + +msgid "errors.only_one_else_allowed" +msgstr "Для кожного «match» допускається лише один випадок «else»." + +msgid "errors.when_must_belong_to_match" +msgstr "Оператори «when» можуть з’являтися лише як дочірні операторів «match»." + +msgid "errors.concurrent_line_without_origin" +msgstr "Паралельні рядки потребують початкового рядка, який не починається з «|»." + +msgid "errors.goto_not_allowed_on_concurrect_lines" +msgstr "У паралельних діалогових рядках не допускаються Goto посилання." + +msgid "errors.unexpected_syntax_on_nested_dialogue_line" +msgstr "Вкладені рядки діалогу можуть містити лише діалог." + +msgid "errors.err_nested_dialogue_invalid_jump" +msgstr "Лише останній рядок вкладеного діалогу може містити перехід." + +msgid "errors.unknown" +msgstr "Невідомий синтаксис." + +msgid "update.available" +msgstr "Доступна версія {version}" + +msgid "update.is_available_for_download" +msgstr "Версія %s доступна для завантаження!" + +msgid "update.downloading" +msgstr "Завантаження..." + +msgid "update.download_update" +msgstr "Завантажити оновлення" + +msgid "update.needs_reload" +msgstr "Щоб установити оновлення, проєкт потрібно перезавантажити." + +msgid "update.reload_ok_button" +msgstr "Перезавантажити проєкт" + +msgid "update.reload_cancel_button" +msgstr "Пізніше" + +msgid "update.reload_project" +msgstr "Перезавантажити проєкт" + +msgid "update.release_notes" +msgstr "Читати зміни оновлення" + +msgid "update.success" +msgstr "Dialogue Manager тепер з версією {version}." + +msgid "update.failed" +msgstr "Виникла проблема із завантаженням оновлення." + +msgid "runtime.no_resource" +msgstr "Ресурс для діалогу не надано." + +msgid "runtime.no_content" +msgstr "«{file_path}» не має вмісту." + +msgid "runtime.errors" +msgstr "У тексті діалогу було виявлено помилки ({count})." + +msgid "runtime.error_detail" +msgstr "Рядок {line}: {message}" + +msgid "runtime.errors_see_details" +msgstr "У тексті діалогу було виявлено помилки ({count}). Див. детальніше у розділі «Вивід»." + +msgid "runtime.invalid_expression" +msgstr "«{expression}» не є допустимим виразом: {error}" + +msgid "runtime.array_index_out_of_bounds" +msgstr "Індекс {index} виходить за межі масиву «{array}»." + +msgid "runtime.left_hand_size_cannot_be_assigned_to" +msgstr "Ліва частина виразу не може бути призначена." + +msgid "runtime.key_not_found" +msgstr "Ключ «{key}» не знайдено у словнику «{dictionary}»" + +msgid "runtime.property_not_found" +msgstr "«{property}» не знайдено. Стани з безпосередньо доступними властивостями/методами/сигналами включають {states}. На автозавантаження потрібно посилатися за їхніми назвами для використання їхніх властивостей." + +msgid "runtime.property_not_found_missing_export" +msgstr "«{property}» не знайдено. Можливо, вам слід додати декоратор «[Export]». Стани з безпосередньо доступними властивостями/методами/сигналами включають {states}. На автозавантаження потрібно посилатися за їхніми назвами для використання їхніх властивостей." + +msgid "runtime.method_not_found" +msgstr "Метод «{method}» не знайдено. Стани з безпосередньо доступними властивостями/методами/сигналами включають {states}. На автозавантаження потрібно посилатися за їхніми назвами для використання їхніх властивостей." + +msgid "runtime.signal_not_found" +msgstr "Сигнал «{signal_name}» не знайдено. Стани з безпосередньо доступними властивостями/методами/сигналами включають {states}. На автозавантаження потрібно посилатися за їхніми назвами для використання їхніх властивостей." + +msgid "runtime.method_not_callable" +msgstr "«{method}» не є методом, який можна викликати в «{object}»" + +msgid "runtime.unknown_operator" +msgstr "Невідомий оператор." + +msgid "runtime.unknown_autoload" +msgstr "Схоже, «{autoload}» не є дійсним автозавантаженням." + +msgid "runtime.something_went_wrong" +msgstr "Щось пішло не так." + +msgid "runtime.expected_n_got_n_args" +msgstr "«{method}» було викликано з аргументами «{received}», але воно має лише «{expected}»." + +msgid "runtime.unsupported_array_type" +msgstr "Array[{type}] не підтримується у модифікаціях. Натомість використовуйте Array як тип." + +msgid "runtime.dialogue_balloon_missing_start_method" +msgstr "У вашій кулі діалогу відсутній метод «start» або «Start»." + +msgid "runtime.top_level_states_share_name" +msgstr "Кілька станів верхнього рівня ({states}) мають спільну назву методу/властивості/сигналу «{key}». Для діалогу доступний лише перший випадок." + +msgid "translation_plugin.character_name" +msgstr "Ім’я персонажа" diff --git a/addons/dialogue_manager/l10n/zh.po b/addons/dialogue_manager/l10n/zh.po new file mode 100644 index 0000000..2a48a51 --- /dev/null +++ b/addons/dialogue_manager/l10n/zh.po @@ -0,0 +1,387 @@ +msgid "" +msgstr "" +"Project-Id-Version: Dialogue Manager\n" +"POT-Creation-Date: \n" +"PO-Revision-Date: \n" +"Last-Translator: \n" +"Language-Team: penghao123456、憨憨羊の宇航鸽鸽、ABShinri\n" +"Language: zh\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"X-Generator: Poedit 3.4\n" + +msgid "start_a_new_file" +msgstr "创建新文件" + +msgid "open_a_file" +msgstr "打开已有文件" + +msgid "open.open" +msgstr "打开……" + +msgid "open.no_recent_files" +msgstr "无历史记录" + +msgid "open.clear_recent_files" +msgstr "清空历史记录" + +msgid "save_all_files" +msgstr "保存所有文件" + +msgid "find_in_files" +msgstr "在文件中查找" + +msgid "test_dialogue" +msgstr "测试对话" + +msgid "search_for_text" +msgstr "查找……" + +msgid "insert" +msgstr "插入" + +msgid "translations" +msgstr "翻译" + +msgid "show_support" +msgstr "支持 Dialogue Manager" + +msgid "docs" +msgstr "文档" + +msgid "insert.wave_bbcode" +msgstr "波浪效果" + +msgid "insert.shake_bbcode" +msgstr "抖动效果" + +msgid "insert.typing_pause" +msgstr "输入间隔" + +msgid "insert.typing_speed_change" +msgstr "输入速度变更" + +msgid "insert.auto_advance" +msgstr "自动切行" + +msgid "insert.templates" +msgstr "模板" + +msgid "insert.title" +msgstr "标题" + +msgid "insert.dialogue" +msgstr "对话" + +msgid "insert.response" +msgstr "回复选项" + +msgid "insert.random_lines" +msgstr "随机行" + +msgid "insert.random_text" +msgstr "随机文本" + +msgid "insert.actions" +msgstr "操作" + +msgid "insert.jump" +msgstr "标题间跳转" + +msgid "insert.end_dialogue" +msgstr "结束对话" + +msgid "generate_line_ids" +msgstr "生成行 ID" + +msgid "use_uuid_only_for_ids" +msgstr "仅使用UUID作为ID" + +msgid "set_id_prefix_length" +msgstr "设置ID前缀长度" + +msgid "id_prefix_length" +msgstr "ID前缀长度：" + +msgid "save_characters_to_csv" +msgstr "保存角色到 CSV" + +msgid "save_to_csv" +msgstr "生成 CSV" + +msgid "import_from_csv" +msgstr "从 CSV 导入" + +msgid "confirm_close" +msgstr "是否要保存到“{path}”？" + +msgid "confirm_close.save" +msgstr "保存" + +msgid "confirm_close.discard" +msgstr "不保存" + +msgid "buffer.save" +msgstr "保存" + +msgid "buffer.save_as" +msgstr "另存为……" + +msgid "buffer.close" +msgstr "关闭" + +msgid "buffer.close_all" +msgstr "全部关闭" + +msgid "buffer.close_other_files" +msgstr "关闭其他文件" + +msgid "buffer.copy_file_path" +msgstr "复制文件路径" + +msgid "buffer.show_in_filesystem" +msgstr "在 Godot 侧边栏中显示" + +msgid "n_of_n" +msgstr "第{index}个，共{total}个" + +msgid "search.find" +msgstr "查找:" + +msgid "search.find_all" +msgstr "查找全部..." + +msgid "search.placeholder" +msgstr "请输入查找的内容" + +msgid "search.replace_placeholder" +msgstr "请输入替换的内容" + +msgid "search.replace_selected" +msgstr "替换勾选" + +msgid "search.previous" +msgstr "查找上一个" + +msgid "search.next" +msgstr "查找下一个" + +msgid "search.match_case" +msgstr "大小写敏感" + +msgid "search.toggle_replace" +msgstr "替换" + +msgid "search.replace_with" +msgstr "替换为" + +msgid "search.replace" +msgstr "替换" + +msgid "search.replace_all" +msgstr "全部替换" + +msgid "files_list.filter" +msgstr "查找文件" + +msgid "titles_list.filter" +msgstr "查找标题" + +msgid "errors.key_not_found" +msgstr "键“{key}”未找到" + +msgid "errors.line_and_message" +msgstr "第{line}行第{colume}列发生错误：{message}" + +msgid "errors_in_script" +msgstr "你的脚本中存在错误。请修复错误，然后重试。" + +msgid "errors_with_build" +msgstr "请先解决 Dialogue 中的错误。" + +msgid "errors.import_errors" +msgstr "被导入的文件存在问题。" + +msgid "errors.already_imported" +msgstr "文件已被导入。" + +msgid "errors.duplicate_import" +msgstr "导入名不能重复。" + +msgid "errors.empty_title" +msgstr "标题名不能为空。" + +msgid "errors.duplicate_title" +msgstr "标题名不能重复。" + +msgid "errors.invalid_title_string" +msgstr "标题名无效。" + +msgid "errors.invalid_title_number" +msgstr "标题不能以数字开始。" + +msgid "errors.unknown_title" +msgstr "标题未定义。" + +msgid "errors.jump_to_invalid_title" +msgstr "标题名无效。" + +msgid "errors.title_has_no_content" +msgstr "目标标题为空。请替换为“=> END”。" + +msgid "errors.invalid_expression" +msgstr "表达式无效。" + +msgid "errors.unexpected_condition" +msgstr "未知条件。" + +msgid "errors.duplicate_id" +msgstr "ID 重复。" + +msgid "errors.missing_id" +msgstr "ID 不存在。" + +msgid "errors.invalid_indentation" +msgstr "缩进无效。" + +msgid "errors.condition_has_no_content" +msgstr "条件下方不能为空。" + +msgid "errors.incomplete_expression" +msgstr "不完整的表达式。" + +msgid "errors.invalid_expression_for_value" +msgstr "无效的赋值表达式。" + +msgid "errors.file_not_found" +msgstr "文件不存在。" + +msgid "errors.unexpected_end_of_expression" +msgstr "表达式 end 不应存在。" + +msgid "errors.unexpected_function" +msgstr "函数不应存在。" + +msgid "errors.unexpected_bracket" +msgstr "方括号不应存在。" + +msgid "errors.unexpected_closing_bracket" +msgstr "方括号不应存在。" + +msgid "errors.missing_closing_bracket" +msgstr "闭方括号不存在。" + +msgid "errors.unexpected_operator" +msgstr "操作符不应存在。" + +msgid "errors.unexpected_comma" +msgstr "逗号不应存在。" + +msgid "errors.unexpected_colon" +msgstr "冒号不应存在。" + +msgid "errors.unexpected_dot" +msgstr "句号不应存在。" + +msgid "errors.unexpected_boolean" +msgstr "布尔值不应存在。" + +msgid "errors.unexpected_string" +msgstr "字符串不应存在。" + +msgid "errors.unexpected_number" +msgstr "数字不应存在。" + +msgid "errors.unexpected_variable" +msgstr "标识符不应存在。" + +msgid "errors.invalid_index" +msgstr "索引无效。" + +msgid "errors.unexpected_assignment" +msgstr "不应在条件判断中使用 = ，应使用 == 。" + +msgid "errors.unknown" +msgstr "语法错误。" + +msgid "update.available" +msgstr "v{version} 更新可用。" + +msgid "update.is_available_for_download" +msgstr "v%s 已经可以下载。" + +msgid "update.downloading" +msgstr "正在下载更新……" + +msgid "update.download_update" +msgstr "下载" + +msgid "update.needs_reload" +msgstr "需要重新加载项目以应用更新。" + +msgid "update.reload_ok_button" +msgstr "重新加载" + +msgid "update.reload_cancel_button" +msgstr "暂不重新加载" + +msgid "update.reload_project" +msgstr "重新加载" + +msgid "update.release_notes" +msgstr "查看发行注记" + +msgid "update.success" +msgstr "v{version} 已成功安装并应用。" + +msgid "update.failed" +msgstr "更新失败。" + +msgid "runtime.no_resource" +msgstr "找不到资源。" + +msgid "runtime.no_content" +msgstr "资源“{file_path}”为空。" + +msgid "runtime.errors" +msgstr "文件中存在{errrors}个错误。" + +msgid "runtime.error_detail" +msgstr "第{index}行：{message}" + +msgid "runtime.errors_see_details" +msgstr "文件中存在{errrors}个错误。请查看调试输出。" + +msgid "runtime.invalid_expression" +msgstr "表达式“{expression}”无效：{error}" + +msgid "runtime.array_index_out_of_bounds" +msgstr "数组索引“{index}”越界。（数组名：“{array}”）" + +msgid "runtime.left_hand_size_cannot_be_assigned_to" +msgstr "表达式左侧的变量无法被赋值。" + +msgid "runtime.key_not_found" +msgstr "键“{key}”在字典“{dictionary}”中不存在。" + +msgid "runtime.property_not_found" +msgstr "“{property}”不存在。（全局变量：{states}）" + +msgid "runtime.property_not_found_missing_export" +msgstr "“{property}”不存在。（全局变量：{states}）你可能需要添加一个修饰词 [Export]。" + +msgid "runtime.method_not_found" +msgstr "“{method}”不存在。（全局变量：{states}）" + +msgid "runtime.signal_not_found" +msgstr "“{sighal_name}”不存在。（全局变量：{states}）" + +msgid "runtime.method_not_callable" +msgstr "{method}不是对象“{object}”上的函数。" + +msgid "runtime.unknown_operator" +msgstr "未知操作符。" + +msgid "runtime.something_went_wrong" +msgstr "有什么出错了。" diff --git a/addons/dialogue_manager/l10n/zh_TW.po b/addons/dialogue_manager/l10n/zh_TW.po new file mode 100644 index 0000000..1be9813 --- /dev/null +++ b/addons/dialogue_manager/l10n/zh_TW.po @@ -0,0 +1,387 @@ +msgid "" +msgstr "" +"Project-Id-Version: Dialogue Manager\n" +"POT-Creation-Date: \n" +"PO-Revision-Date: \n" +"Last-Translator: \n" +"Language-Team: 憨憨羊の宇航鴿鴿、ABShinri\n" +"Language: zh_TW\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"X-Generator: Poedit 3.4\n" + +msgid "start_a_new_file" +msgstr "創建新檔案" + +msgid "open_a_file" +msgstr "開啟已有檔案" + +msgid "open.open" +msgstr "開啟……" + +msgid "open.no_recent_files" +msgstr "無歷史記錄" + +msgid "open.clear_recent_files" +msgstr "清空歷史記錄" + +msgid "save_all_files" +msgstr "儲存所有檔案" + +msgid "find_in_files" +msgstr "在檔案中查找" + +msgid "test_dialogue" +msgstr "測試對話" + +msgid "search_for_text" +msgstr "搜尋……" + +msgid "insert" +msgstr "插入" + +msgid "translations" +msgstr "翻譯" + +msgid "show_support" +msgstr "支援 Dialogue Manager" + +msgid "docs" +msgstr "文檔" + +msgid "insert.wave_bbcode" +msgstr "波浪特效" + +msgid "insert.shake_bbcode" +msgstr "震動特效" + +msgid "insert.typing_pause" +msgstr "輸入間隔" + +msgid "insert.typing_speed_change" +msgstr "輸入速度變更" + +msgid "insert.auto_advance" +msgstr "自動切行" + +msgid "insert.templates" +msgstr "模板" + +msgid "insert.title" +msgstr "標題" + +msgid "insert.dialogue" +msgstr "對話" + +msgid "insert.response" +msgstr "回覆選項" + +msgid "insert.random_lines" +msgstr "隨機行" + +msgid "insert.random_text" +msgstr "隨機文本" + +msgid "insert.actions" +msgstr "操作" + +msgid "insert.jump" +msgstr "標題間跳轉" + +msgid "insert.end_dialogue" +msgstr "結束對話" + +msgid "generate_line_ids" +msgstr "生成行 ID" + +msgid "use_uuid_only_for_ids" +msgstr "僅使用 UUID 作為 ID" + +msgid "set_id_prefix_length" +msgstr "設定 ID 前綴長度" + +msgid "id_prefix_length" +msgstr "ID 前綴長度：" + +msgid "save_characters_to_csv" +msgstr "保存角色到 CSV" + +msgid "save_to_csv" +msgstr "生成 CSV" + +msgid "import_from_csv" +msgstr "從 CSV 匯入" + +msgid "confirm_close" +msgstr "是否要儲存到“{path}”？" + +msgid "confirm_close.save" +msgstr "儲存" + +msgid "confirm_close.discard" +msgstr "不儲存" + +msgid "buffer.save" +msgstr "儲存" + +msgid "buffer.save_as" +msgstr "儲存爲……" + +msgid "buffer.close" +msgstr "關閉" + +msgid "buffer.close_all" +msgstr "全部關閉" + +msgid "buffer.close_other_files" +msgstr "關閉其他檔案" + +msgid "buffer.copy_file_path" +msgstr "複製檔案位置" + +msgid "buffer.show_in_filesystem" +msgstr "在 Godot 側邊欄中顯示" + +msgid "n_of_n" +msgstr "第{index}個，共{total}個" + +msgid "search.find" +msgstr "搜尋:" + +msgid "search.find_all" +msgstr "搜尋全部..." + +msgid "search.placeholder" +msgstr "請輸入搜尋的內容" + +msgid "search.replace_placeholder" +msgstr "請輸入替換的內容" + +msgid "search.replace_selected" +msgstr "替換勾選" + +msgid "search.previous" +msgstr "搜尋上一個" + +msgid "search.next" +msgstr "搜尋下一個" + +msgid "search.match_case" +msgstr "大小寫敏感" + +msgid "search.toggle_replace" +msgstr "替換" + +msgid "search.replace_with" +msgstr "替換爲" + +msgid "search.replace" +msgstr "替換" + +msgid "search.replace_all" +msgstr "全部替換" + +msgid "files_list.filter" +msgstr "搜尋檔案" + +msgid "titles_list.filter" +msgstr "搜尋標題" + +msgid "errors.key_not_found" +msgstr "鍵“{key}”未找到" + +msgid "errors.line_and_message" +msgstr "第{line}行第{colume}列發生錯誤：{message}" + +msgid "errors_in_script" +msgstr "你的腳本中存在錯誤。請修復錯誤，然後重試。" + +msgid "errors_with_build" +msgstr "請先解決 Dialogue 中的錯誤。" + +msgid "errors.import_errors" +msgstr "被匯入的檔案存在問題。" + +msgid "errors.already_imported" +msgstr "檔案已被匯入。" + +msgid "errors.duplicate_import" +msgstr "匯入名不能重複。" + +msgid "errors.empty_title" +msgstr "標題名不能爲空。" + +msgid "errors.duplicate_title" +msgstr "標題名不能重複。" + +msgid "errors.invalid_title_string" +msgstr "標題名無效。" + +msgid "errors.invalid_title_number" +msgstr "標題不能以數字開始。" + +msgid "errors.unknown_title" +msgstr "標題未定義。" + +msgid "errors.jump_to_invalid_title" +msgstr "標題名無效。" + +msgid "errors.title_has_no_content" +msgstr "目標標題爲空。請替換爲“=> END”。" + +msgid "errors.invalid_expression" +msgstr "表達式無效。" + +msgid "errors.unexpected_condition" +msgstr "未知條件。" + +msgid "errors.duplicate_id" +msgstr "ID 重複。" + +msgid "errors.missing_id" +msgstr "ID 不存在。" + +msgid "errors.invalid_indentation" +msgstr "縮進無效。" + +msgid "errors.condition_has_no_content" +msgstr "條件下方不能爲空。" + +msgid "errors.incomplete_expression" +msgstr "不完整的表達式。" + +msgid "errors.invalid_expression_for_value" +msgstr "無效的賦值表達式。" + +msgid "errors.file_not_found" +msgstr "檔案不存在。" + +msgid "errors.unexpected_end_of_expression" +msgstr "表達式 end 不應存在。" + +msgid "errors.unexpected_function" +msgstr "函數不應存在。" + +msgid "errors.unexpected_bracket" +msgstr "方括號不應存在。" + +msgid "errors.unexpected_closing_bracket" +msgstr "方括號不應存在。" + +msgid "errors.missing_closing_bracket" +msgstr "閉方括號不存在。" + +msgid "errors.unexpected_operator" +msgstr "操作符不應存在。" + +msgid "errors.unexpected_comma" +msgstr "逗號不應存在。" + +msgid "errors.unexpected_colon" +msgstr "冒號不應存在。" + +msgid "errors.unexpected_dot" +msgstr "句號不應存在。" + +msgid "errors.unexpected_boolean" +msgstr "布爾值不應存在。" + +msgid "errors.unexpected_string" +msgstr "字符串不應存在。" + +msgid "errors.unexpected_number" +msgstr "數字不應存在。" + +msgid "errors.unexpected_variable" +msgstr "標識符不應存在。" + +msgid "errors.invalid_index" +msgstr "索引無效。" + +msgid "errors.unexpected_assignment" +msgstr "不應在條件判斷中使用 = ，應使用 == 。" + +msgid "errors.unknown" +msgstr "語法錯誤。" + +msgid "update.available" +msgstr "v{version} 更新可用。" + +msgid "update.is_available_for_download" +msgstr "v%s 已經可以下載。" + +msgid "update.downloading" +msgstr "正在下載更新……" + +msgid "update.download_update" +msgstr "下載" + +msgid "update.needs_reload" +msgstr "需要重新加載項目以套用更新。" + +msgid "update.reload_ok_button" +msgstr "重新加載" + +msgid "update.reload_cancel_button" +msgstr "暫不重新加載" + +msgid "update.reload_project" +msgstr "重新加載" + +msgid "update.release_notes" +msgstr "查看發行註記" + +msgid "update.success" +msgstr "v{version} 已成功安裝並套用。" + +msgid "update.failed" +msgstr "更新失敗。" + +msgid "runtime.no_resource" +msgstr "找不到資源。" + +msgid "runtime.no_content" +msgstr "資源“{file_path}”爲空。" + +msgid "runtime.errors" +msgstr "檔案中存在{errrors}個錯誤。" + +msgid "runtime.error_detail" +msgstr "第{index}行：{message}" + +msgid "runtime.errors_see_details" +msgstr "檔案中存在{errrors}個錯誤。請查看調試輸出。" + +msgid "runtime.invalid_expression" +msgstr "表達式“{expression}”無效：{error}" + +msgid "runtime.array_index_out_of_bounds" +msgstr "數組索引“{index}”越界。（數組名：“{array}”）" + +msgid "runtime.left_hand_size_cannot_be_assigned_to" +msgstr "表達式左側的變量無法被賦值。" + +msgid "runtime.key_not_found" +msgstr "鍵“{key}”在字典“{dictionary}”中不存在。" + +msgid "runtime.property_not_found" +msgstr "“{property}”不存在。（全局變量：{states}）" + +msgid "runtime.method_not_found" +msgstr "“{method}”不存在。（全局變量：{states}）" + +msgid "runtime.signal_not_found" +msgstr "“{sighal_name}”不存在。（全局變量：{states}）" + +msgid "runtime.property_not_found_missing_export" +msgstr "“{property}”不存在。（全局變量：{states}）你可能需要添加一個修飾詞 [Export]。" + +msgid "runtime.method_not_callable" +msgstr "{method}不是對象“{object}”上的函數。" + +msgid "runtime.unknown_operator" +msgstr "未知操作符。" + +msgid "runtime.something_went_wrong" +msgstr "有什麼出錯了。" diff --git a/addons/dialogue_manager/plugin.cfg b/addons/dialogue_manager/plugin.cfg new file mode 100644 index 0000000..40dad2c --- /dev/null +++ b/addons/dialogue_manager/plugin.cfg @@ -0,0 +1,7 @@ +[plugin] + +name="Dialogue Manager" +description="A powerful nonlinear dialogue system" +author="Nathan Hoad" +version="3.9.0" +script="plugin.gd" diff --git a/addons/dialogue_manager/plugin.cfg.uid b/addons/dialogue_manager/plugin.cfg.uid new file mode 100644 index 0000000..312d0cf --- /dev/null +++ b/addons/dialogue_manager/plugin.cfg.uid @@ -0,0 +1 @@ +uid://hrny2utekhei diff --git a/addons/dialogue_manager/plugin.gd b/addons/dialogue_manager/plugin.gd new file mode 100644 index 0000000..6f1f5d9 --- /dev/null +++ b/addons/dialogue_manager/plugin.gd @@ -0,0 +1,470 @@ +@tool +extends EditorPlugin + + +const MainView = preload("./views/main_view.tscn") +const FindInDialogueView = preload("./views/find_in_dialogue_view.tscn") + + +var import_plugin: DMImportPlugin +var export_plugin: DMExportPlugin +var inspector_plugin: DMInspectorPlugin +var translation_parser_plugin: DMTranslationParserPlugin +var main_view: Control +var find_in_dialogue_view: Control +var dialogue_cache: DMCache + + +func _enable_plugin() -> void: + add_autoload_singleton("DialogueManager", get_plugin_path() + "/dialogue_manager.gd") + _housekeeping() + + +func _disable_plugin() -> void: + remove_autoload_singleton("DialogueManager") + + +func _enter_tree() -> void: + if Engine.is_editor_hint(): + Engine.set_meta("DialogueManagerPlugin", self) + + DMSettings.prepare() + + dialogue_cache = DMCache.new() + Engine.set_meta("DMCache", dialogue_cache) + + import_plugin = DMImportPlugin.new() + add_import_plugin(import_plugin) + + export_plugin = DMExportPlugin.new() + add_export_plugin(export_plugin) + + inspector_plugin = DMInspectorPlugin.new() + add_inspector_plugin(inspector_plugin) + + translation_parser_plugin = DMTranslationParserPlugin.new() + add_translation_parser_plugin(translation_parser_plugin) + + main_view = MainView.instantiate() + EditorInterface.get_editor_main_screen().add_child(main_view) + _make_visible(false) + main_view.add_child(dialogue_cache) + + _update_localization() + + EditorInterface.get_file_system_dock().files_moved.connect(_on_files_moved) + EditorInterface.get_file_system_dock().file_removed.connect(_on_file_removed) + + add_tool_menu_item("Create copy of dialogue example balloon...", _copy_dialogue_balloon) + + +func _exit_tree() -> void: + remove_import_plugin(import_plugin) + import_plugin = null + + remove_export_plugin(export_plugin) + export_plugin = null + + remove_inspector_plugin(inspector_plugin) + inspector_plugin = null + + remove_translation_parser_plugin(translation_parser_plugin) + translation_parser_plugin = null + + if is_instance_valid(main_view): + main_view.queue_free() + + hide_find_in_dialogue() + + Engine.remove_meta("DialogueManagerPlugin") + Engine.remove_meta("DMCache") + + EditorInterface.get_file_system_dock().files_moved.disconnect(_on_files_moved) + EditorInterface.get_file_system_dock().file_removed.disconnect(_on_file_removed) + + remove_tool_menu_item("Create copy of dialogue example balloon...") + + +func _has_main_screen() -> bool: + return true + + +func _make_visible(next_visible: bool) -> void: + if is_instance_valid(main_view): + main_view.visible = next_visible + + +func _get_plugin_name() -> String: + return "Dialogue" + + +func _get_plugin_icon() -> Texture2D: + return load(get_plugin_path() + "/assets/icon.svg") + + +func _handles(object) -> bool: + var editor_settings: EditorSettings = EditorInterface.get_editor_settings() + var external_editor: String = editor_settings.get_setting("text_editor/external/exec_path") + var use_external_editor: bool = editor_settings.get_setting("text_editor/external/use_external_editor") and external_editor != "" + if object is DialogueResource and use_external_editor and DMSettings.get_user_value("open_in_external_editor", false): + var project_path: String = ProjectSettings.globalize_path("res://") + var file_path: String = ProjectSettings.globalize_path(object.resource_path) + OS.create_process(external_editor, [project_path, file_path]) + return false + + return object is DialogueResource + + +func _edit(object) -> void: + if is_instance_valid(main_view) and is_instance_valid(object): + main_view.open_resource(object) + + +func _apply_changes() -> void: + if is_instance_valid(main_view): + main_view.apply_changes() + _update_localization() + + +func _save_external_data() -> void: + if is_instance_valid(main_view) and EditorInterface.get_editor_settings().get_setting("run/auto_save/save_before_running"): + main_view.apply_changes() + _update_localization() + + if dialogue_cache != null: + dialogue_cache.reimport_files() + + +func _build() -> bool: + # If this is the dotnet Godot then we need to check if the solution file exists + DMSettings.check_for_dotnet_solution() + + # Ignore errors in other files if we are just running the test scene + if DMSettings.get_user_value("is_running_test_scene", true): return true + + if dialogue_cache != null: + dialogue_cache.reimport_files() + + var files_with_errors = dialogue_cache.get_files_with_errors() + if files_with_errors.size() > 0: + for dialogue_file in files_with_errors: + push_error("You have %d error(s) in %s" % [dialogue_file.errors.size(), dialogue_file.path]) + EditorInterface.edit_resource(load(files_with_errors[0].path)) + main_view.show_build_error_dialog() + return false + + return true + + +func show_find_in_dialogue() -> void: + if not is_instance_valid(find_in_dialogue_view): + find_in_dialogue_view = FindInDialogueView.instantiate() + find_in_dialogue_view.main_view = main_view + find_in_dialogue_view.result_selected.connect(main_view._on_find_in_files_result_selected) + add_control_to_bottom_panel(find_in_dialogue_view, DMConstants.translate(&"search.find_in_dialogue")) + make_bottom_panel_item_visible(find_in_dialogue_view) + find_in_dialogue_view.prepare() + + +func hide_find_in_dialogue() -> void: + if is_instance_valid(find_in_dialogue_view): + remove_control_from_bottom_panel(find_in_dialogue_view) + find_in_dialogue_view.queue_free() + + +## Get the shortcuts used by the plugin +func get_editor_shortcuts() -> Dictionary: + var shortcuts: Dictionary = { + toggle_comment = [ + _create_event("Ctrl+K"), + _create_event("Ctrl+Slash") + ], + delete_line = [ + _create_event("Ctrl+Shift+K") + ], + move_up = [ + _create_event("Alt+Up") + ], + move_down = [ + _create_event("Alt+Down") + ], + save = [ + _create_event("Ctrl+Alt+S") + ], + close_file = [ + _create_event("Ctrl+W") + ], + find_in_files = [ + _create_event("Ctrl+Shift+F") + ], + + run_test_scene = [ + _create_event("Ctrl+F5") + ], + text_size_increase = [ + _create_event("Ctrl+Equal") + ], + text_size_decrease = [ + _create_event("Ctrl+Minus") + ], + text_size_reset = [ + _create_event("Ctrl+0") + ], + + make_bold = [ + _create_event("Ctrl+Shift+b") + ], + make_italic = [ + _create_event("Ctrl+Shift+i") + ] + } + + var paths = EditorInterface.get_editor_paths() + var settings: Resource = null + for version in ["4.5", "4.4", "4.3", "4"]: + var path: String = paths.get_config_dir() + "/editor_settings-" + version + ".tres" + if FileAccess.file_exists(path): + settings = load(path) + break + + if settings == null: return shortcuts + + for s in settings.get("shortcuts"): + for key in shortcuts: + if s.name == "script_text_editor/%s" % key or s.name == "script_editor/%s" % key: + shortcuts[key] = [] + for event in s.shortcuts: + if event is InputEventKey: + shortcuts[key].append(event) + + return shortcuts + + +func _create_event(string: String) -> InputEventKey: + var event: InputEventKey = InputEventKey.new() + var bits = string.split("+") + event.keycode = OS.find_keycode_from_string(bits[bits.size() - 1]) + event.shift_pressed = bits.has("Shift") + event.alt_pressed = bits.has("Alt") + if bits.has("Ctrl") or bits.has("Command"): + event.command_or_control_autoremap = true + return event + + +## Get the editor shortcut that matches an event +func get_editor_shortcut(event: InputEventKey) -> String: + var shortcuts: Dictionary = get_editor_shortcuts() + for key in shortcuts: + for shortcut in shortcuts.get(key, []): + if event.as_text().split(" ")[0] == shortcut.as_text().split(" ")[0]: + return key + return "" + + +## Get the current version +func get_version() -> String: + var config: ConfigFile = ConfigFile.new() + config.load(get_plugin_path() + "/plugin.cfg") + return config.get_value("plugin", "version") + + +## Get the current path of the plugin +func get_plugin_path() -> String: + return get_script().resource_path.get_base_dir() + + +## Update references to a moved file +func update_import_paths(from_path: String, to_path: String) -> void: + dialogue_cache.move_file_path(from_path, to_path) + + # Reopen the file if it's already open + if main_view.current_file_path == from_path: + if to_path == "": + main_view.close_file(from_path) + else: + main_view.current_file_path = "" + main_view.open_file(to_path) + + # Update any other files that import the moved file + var dependents = dialogue_cache.get_files_with_dependency(from_path) + for dependent in dependents: + dependent.dependencies.remove_at(dependent.dependencies.find(from_path)) + dependent.dependencies.append(to_path) + + # Update the live buffer + if main_view.current_file_path == dependent.path: + main_view.code_edit.text = main_view.code_edit.text.replace(from_path, to_path) + main_view.open_buffers[main_view.current_file_path].pristine_text = main_view.code_edit.text + + # Open the file and update the path + var file: FileAccess = FileAccess.open(dependent.path, FileAccess.READ) + var text = file.get_as_text().replace(from_path, to_path) + file.close() + + file = FileAccess.open(dependent.path, FileAccess.WRITE) + file.store_string(text) + file.close() + + +func _update_localization() -> void: + if not DMSettings.get_setting(DMSettings.UPDATE_POT_FILES_AUTOMATICALLY, true): + return + + var dialogue_files = dialogue_cache.get_files() + + # Add any new files to POT generation + var files_for_pot: PackedStringArray = ProjectSettings.get_setting("internationalization/locale/translations_pot_files", []) + var files_for_pot_changed: bool = false + for path in dialogue_files: + if not files_for_pot.has(path): + files_for_pot.append(path) + files_for_pot_changed = true + + # Remove any POT references that don't exist any more + for i in range(files_for_pot.size() - 1, -1, -1): + var file_for_pot: String = files_for_pot[i] + if file_for_pot.get_extension() == "dialogue" and not dialogue_files.has(file_for_pot): + files_for_pot.remove_at(i) + files_for_pot_changed = true + + # Update project settings if POT changed + if files_for_pot_changed: + ProjectSettings.set_setting("internationalization/locale/translations_pot_files", files_for_pot) + ProjectSettings.save() + + +### Callbacks + + +func _copy_dialogue_balloon() -> void: + var scale: float = EditorInterface.get_editor_scale() + var directory_dialog: FileDialog = FileDialog.new() + var label: Label = Label.new() + label.text = "Dialogue balloon files will be copied into chosen directory." + directory_dialog.get_vbox().add_child(label) + directory_dialog.file_mode = FileDialog.FILE_MODE_OPEN_DIR + directory_dialog.min_size = Vector2(600, 500) * scale + directory_dialog.dir_selected.connect(func(path): + var plugin_path: String = get_plugin_path() + var is_dotnet: bool = DMSettings.check_for_dotnet_solution() + + var balloon_path: String = path + ("/Balloon.tscn" if is_dotnet else "/balloon.tscn") + var balloon_script_path: String = path + ("/DialogueBalloon.cs" if is_dotnet else "/balloon.gd") + + # Copy the balloon scene file and change the script reference + var is_small_window: bool = ProjectSettings.get_setting("display/window/size/viewport_width") < 400 + var example_balloon_file_name: String = "small_example_balloon.tscn" if is_small_window else "example_balloon.tscn" + var example_balloon_path: String = plugin_path + "/example_balloon/" + example_balloon_file_name + var example_balloon_script_file_name: String = "ExampleBalloon.cs" if is_dotnet else "example_balloon.gd" + var example_balloon_script_uid: String = ResourceUID.id_to_text(ResourceLoader.get_resource_uid(plugin_path + "/example_balloon/example_balloon.gd")) + var example_balloon_uid: String = ResourceUID.id_to_text(ResourceLoader.get_resource_uid(example_balloon_path)) + + # Copy the script file + var file: FileAccess = FileAccess.open(plugin_path + "/example_balloon/" + example_balloon_script_file_name, FileAccess.READ) + var file_contents: String = file.get_as_text() + if is_dotnet: + file_contents = file_contents.replace("class ExampleBalloon", "class DialogueBalloon") + else: + file_contents = file_contents.replace("class_name DialogueManagerExampleBalloon ", "") + file = FileAccess.open(balloon_script_path, FileAccess.WRITE) + file.store_string(file_contents) + file.close() + var new_balloon_script_uid_raw: int = ResourceUID.create_id() + ResourceUID.add_id(new_balloon_script_uid_raw, balloon_script_path) + var new_balloon_script_uid: String = ResourceUID.id_to_text(new_balloon_script_uid_raw) + + # Save the new balloon + file_contents = FileAccess.get_file_as_string(example_balloon_path) + if "example_balloon.gd" in file_contents: + file_contents = file_contents.replace(plugin_path + "/example_balloon/example_balloon.gd", balloon_script_path) + else: + file_contents = file_contents.replace(plugin_path + "/example_balloon/ExampleBalloon.cs", balloon_script_path) + var new_balloon_uid: String = ResourceUID.id_to_text(ResourceUID.create_id()) + file_contents = file_contents.replace(example_balloon_uid, new_balloon_uid).replace(example_balloon_script_uid, new_balloon_script_uid) + file = FileAccess.open(balloon_path, FileAccess.WRITE) + file.store_string(file_contents) + file.close() + + EditorInterface.get_resource_filesystem().scan() + EditorInterface.get_file_system_dock().call_deferred("navigate_to_path", balloon_path) + + DMSettings.set_setting(DMSettings.BALLOON_PATH, balloon_path) + + directory_dialog.queue_free() + ) + EditorInterface.get_base_control().add_child(directory_dialog) + directory_dialog.popup_centered() + + +# Tidy up some things that may have gotten messy between versions. +func _housekeeping() -> void: + # Automatically swap the script on the example balloon depending on if dotnet is being used. + if not FileAccess.file_exists("res://tests/test_basic_dialogue.gd"): + var plugin_path: String = get_plugin_path() + var balloon_file_names: PackedStringArray = ["example_balloon.tscn", "small_example_balloon.tscn"] + for balloon_file_name: String in balloon_file_names: + var balloon_path: String = plugin_path + "/example_balloon/" + balloon_file_name + var balloon_content: String = FileAccess.get_file_as_string(balloon_path) + if "example_balloon.gd" in balloon_content and DMSettings.check_for_dotnet_solution(): + balloon_content = balloon_content \ + # Replace script path with the C# one + .replace("example_balloon.gd", "ExampleBalloon.cs") \ + # Replace script UID with the C# one + .replace(ResourceUID.id_to_text(ResourceLoader.get_resource_uid(plugin_path + "/example_balloon/example_balloon.gd")), ResourceUID.id_to_text(ResourceLoader.get_resource_uid(plugin_path + "/example_balloon/ExampleBalloon.cs"))) + var balloon_file: FileAccess = FileAccess.open(balloon_path, FileAccess.WRITE) + balloon_file.store_string(balloon_content) + balloon_file.close() + elif "ExampleBalloon.cs" in balloon_content and not DMSettings.check_for_dotnet_solution(): + balloon_content = balloon_content \ + # Replace script path with the GDScript one + .replace("ExampleBalloon.cs", "example_balloon.gd") \ + # Replace script UID with the GDScript one + .replace(ResourceUID.id_to_text(ResourceLoader.get_resource_uid(plugin_path + "/example_balloon/ExampleBalloon.cs")), ResourceUID.id_to_text(ResourceLoader.get_resource_uid(plugin_path + "/example_balloon/example_balloon.gd"))) + var balloon_file: FileAccess = FileAccess.open(balloon_path, FileAccess.WRITE) + balloon_file.store_string(balloon_content) + balloon_file.close() + + # Automatically make any changes to the known custom balloon if there is one. + var balloon_path: String = DMSettings.get_setting(DMSettings.BALLOON_PATH, "") + if balloon_path != "" and FileAccess.file_exists(balloon_path): + var is_small_window: bool = ProjectSettings.get_setting("display/window/size/viewport_width") < 400 + var example_balloon_file_name: String = "small_example_balloon.tscn" if is_small_window else "example_balloon.tscn" + var example_balloon_path: String = get_plugin_path() + "/example_balloon/" + example_balloon_file_name + + var contents: String = FileAccess.get_file_as_string(balloon_path) + var has_changed: bool = false + + # Make sure the current balloon has a UID unique from the example balloon's + var example_balloon_uid: String = ResourceUID.id_to_text(ResourceLoader.get_resource_uid(example_balloon_path)) + var balloon_uid: String = ResourceUID.id_to_text(ResourceLoader.get_resource_uid(balloon_path)) + if example_balloon_uid == balloon_uid: + var new_balloon_uid: String = ResourceUID.id_to_text(ResourceUID.create_id()) + contents = contents.replace(example_balloon_uid, new_balloon_uid) + has_changed = true + + # Make sure the example balloon copy has the correct renaming of the responses menu + if "reponses" in contents: + contents = contents.replace("reponses", "responses") + has_changed = true + + # Save any changes + if has_changed: + var balloon_file: FileAccess = FileAccess.open(balloon_path, FileAccess.WRITE) + balloon_file.store_string(contents) + balloon_file.close() + + + +### Signals + + +func _on_files_moved(old_file: String, new_file: String) -> void: + update_import_paths(old_file, new_file) + DMSettings.move_recent_file(old_file, new_file) + + +func _on_file_removed(file: String) -> void: + update_import_paths(file, "") + if is_instance_valid(main_view): + main_view.close_file(file) + _update_localization() diff --git a/addons/dialogue_manager/plugin.gd.uid b/addons/dialogue_manager/plugin.gd.uid new file mode 100644 index 0000000..40573b0 --- /dev/null +++ b/addons/dialogue_manager/plugin.gd.uid @@ -0,0 +1 @@ +uid://bpv426rpvrafa diff --git a/addons/dialogue_manager/settings.gd b/addons/dialogue_manager/settings.gd new file mode 100644 index 0000000..1c6eb8e --- /dev/null +++ b/addons/dialogue_manager/settings.gd @@ -0,0 +1,371 @@ +@tool +class_name DMSettings extends Node + + +#region Editor + + + +## Wrap lines in the dialogue editor. +const WRAP_LONG_LINES = "editor/wrap_long_lines" +## The template to start new dialogue files with. +const NEW_FILE_TEMPLATE = "editor/new_file_template" + +## Show lines without statis IDs as errors. +const MISSING_TRANSLATIONS_ARE_ERRORS = "editor/translations/missing_translations_are_errors" +## Include character names in the list of translatable strings. +const INCLUDE_CHARACTERS_IN_TRANSLATABLE_STRINGS_LIST = "editor/translations/include_characters_in_translatable_strings_list" +## The default delimiter to use when exporting CSVs +const DEFAULT_CSV_DELIMITER = "editor/translations/default_csv_delimiter" +## The default locale to use when exporting CSVs +const DEFAULT_CSV_LOCALE = "editor/translations/default_csv_locale" +## Any extra CSV locales to append to the exported translation CSV +const EXTRA_CSV_LOCALES = "editor/translations/extra_csv_locales" +## Includes a "_character" column in CSV exports. +const INCLUDE_CHARACTER_IN_TRANSLATION_EXPORTS = "editor/translations/include_character_in_translation_exports" +## Includes a "_notes" column in CSV exports +const INCLUDE_NOTES_IN_TRANSLATION_EXPORTS = "editor/translations/include_notes_in_translation_exports" +## Automatically update the project's list of translatable files when dialogue files are added or removed +const UPDATE_POT_FILES_AUTOMATICALLY = "editor/translations/update_pot_files_automatically" + +## A processor handling special case compilation. +const DIALOGUE_PROCESSOR_PATH = "editor/advanced/dialogue_processor_path" + +## A custom test scene to use when testing dialogue. +const CUSTOM_TEST_SCENE_PATH = "editor/advanced/custom_test_scene_path" +## Extra script files to include in the auto-complete-able list +const EXTRA_AUTO_COMPLETE_SCRIPT_SOURCES = "editor/advanced/extra_auto_complete_script_sources" + +## The custom balloon for this game. +const BALLOON_PATH = "runtime/balloon_path" +## The names of any autoloads to shortcut into all dialogue files (so you don't have to write `using SomeGlobal` in each file). +const STATE_AUTOLOAD_SHORTCUTS = "runtime/state_autoload_shortcuts" +## Check for possible naming conflicts in state shortcuts. +const WARN_ABOUT_METHOD_PROPERTY_OR_SIGNAL_NAME_CONFLICTS = "runtime/warn_about_method_property_or_signal_name_conflicts" + +## Bypass any missing state when running dialogue. +const IGNORE_MISSING_STATE_VALUES = "runtime/advanced/ignore_missing_state_values" +## Whether or not the project is utilising dotnet. +const USES_DOTNET = "runtime/advanced/uses_dotnet" +## Maximum length of text prefix in auto-generated IDs +const AUTO_GENERATED_ID_PREFIX_LENGTH = "editor/translations/auto_generated_id_prefix_length" +## Use only UUID for auto-generated IDs without text prefix +const USE_UUID_ONLY_FOR_IDS = "editor/translations/use_uuid_only_for_ids" + +static var SETTINGS_CONFIGURATION = { + WRAP_LONG_LINES: { + value = false, + type = TYPE_BOOL, + }, + NEW_FILE_TEMPLATE: { + value = "~ start\nNathan: [[Hi|Hello|Howdy]], this is some dialogue.\nNathan: Here are some choices.\n- First one\n\tNathan: You picked the first one.\n- Second one\n\tNathan: You picked the second one.\n- Start again => start\n- End the conversation => END\nNathan: For more information see the online documentation.\n=> END", + type = TYPE_STRING, + hint = PROPERTY_HINT_MULTILINE_TEXT, + }, + + MISSING_TRANSLATIONS_ARE_ERRORS: { + value = false, + type = TYPE_BOOL, + is_advanced = true + }, + INCLUDE_CHARACTERS_IN_TRANSLATABLE_STRINGS_LIST: { + value = true, + type = TYPE_BOOL, + }, + DEFAULT_CSV_DELIMITER: { + value = "Comma", + type = TYPE_STRING, + hint = PROPERTY_HINT_ENUM, + hint_string = "Comma,Semicolon,Tab" + }, + DEFAULT_CSV_LOCALE: { + value = "en", + type = TYPE_STRING, + hint = PROPERTY_HINT_LOCALE_ID, + }, + EXTRA_CSV_LOCALES: { + value = [], + type = TYPE_PACKED_STRING_ARRAY, + hint = PROPERTY_HINT_TYPE_STRING, + hint_string = "%d:" % [TYPE_STRING], + is_advanced = true + }, + INCLUDE_CHARACTER_IN_TRANSLATION_EXPORTS: { + value = false, + type = TYPE_BOOL, + is_advanced = true + }, + INCLUDE_NOTES_IN_TRANSLATION_EXPORTS: { + value = false, + type = TYPE_BOOL, + is_advanced = true + }, + UPDATE_POT_FILES_AUTOMATICALLY: { + value = true, + type = TYPE_BOOL, + is_advanced = true + }, + + DIALOGUE_PROCESSOR_PATH: { + value = "", + type = TYPE_STRING, + hint = PROPERTY_HINT_FILE, + hint_string = "*.gd,*.cs", + is_advanced = true + }, + + CUSTOM_TEST_SCENE_PATH: { + value = preload("./test_scene.tscn").resource_path, + type = TYPE_STRING, + hint = PROPERTY_HINT_FILE, + is_advanced = true + }, + EXTRA_AUTO_COMPLETE_SCRIPT_SOURCES: { + value = [], + type = TYPE_PACKED_STRING_ARRAY, + hint = PROPERTY_HINT_TYPE_STRING, + hint_string = "%d/%d:*.*" % [TYPE_STRING, PROPERTY_HINT_FILE], + is_advanced = true + }, + + BALLOON_PATH: { + value = "", + type = TYPE_STRING, + hint = PROPERTY_HINT_FILE, + }, + STATE_AUTOLOAD_SHORTCUTS: { + value = [], + type = TYPE_PACKED_STRING_ARRAY, + hint = PROPERTY_HINT_TYPE_STRING, + hint_string = "%d:" % [TYPE_STRING], + }, + WARN_ABOUT_METHOD_PROPERTY_OR_SIGNAL_NAME_CONFLICTS: { + value = false, + type = TYPE_BOOL, + is_advanced = true + }, + + IGNORE_MISSING_STATE_VALUES: { + value = false, + type = TYPE_BOOL, + is_advanced = true + }, + USES_DOTNET: { + value = false, + type = TYPE_BOOL, + is_hidden = true + }, + AUTO_GENERATED_ID_PREFIX_LENGTH: { + value = 30, + type = TYPE_INT, + hint = PROPERTY_HINT_RANGE, + hint_string = "0,100,1", + is_advanced = true + }, + USE_UUID_ONLY_FOR_IDS: { + value = false, + type = TYPE_BOOL, + is_advanced = true + }, +} + + +static func prepare() -> void: + var should_save_settings: bool = false + + # Remap any old settings into their new keys + var legacy_map: Dictionary = { + states = STATE_AUTOLOAD_SHORTCUTS, + missing_translations_are_errors = MISSING_TRANSLATIONS_ARE_ERRORS, + export_characters_in_translation = INCLUDE_CHARACTERS_IN_TRANSLATABLE_STRINGS_LIST, + wrap_lines = WRAP_LONG_LINES, + new_with_template = null, + new_template = NEW_FILE_TEMPLATE, + include_all_responses = null, + ignore_missing_state_values = IGNORE_MISSING_STATE_VALUES, + custom_test_scene_path = CUSTOM_TEST_SCENE_PATH, + default_csv_locale = DEFAULT_CSV_LOCALE, + balloon_path = BALLOON_PATH, + create_lines_for_responses_with_characters = null, + include_character_in_translation_exports = INCLUDE_CHARACTER_IN_TRANSLATION_EXPORTS, + include_notes_in_translation_exports = INCLUDE_NOTES_IN_TRANSLATION_EXPORTS, + uses_dotnet = USES_DOTNET, + try_suppressing_startup_unsaved_indicator = null + } + + for legacy_key: String in legacy_map: + if ProjectSettings.has_setting("dialogue_manager/general/%s" % legacy_key): + should_save_settings = true + # Remove the old setting + var value = ProjectSettings.get_setting("dialogue_manager/general/%s" % legacy_key) + ProjectSettings.set_setting("dialogue_manager/general/%s" % legacy_key, null) + if legacy_map.get(legacy_key) != null: + prints("Migrating Dialogue Manager setting %s to %s with value %s" % [legacy_key, legacy_map.get(legacy_key), str(value)]) + ProjectSettings.set_setting("dialogue_manager/%s" % [legacy_map.get(legacy_key)], value) + + # Set up initial settings + for key: String in SETTINGS_CONFIGURATION: + var setting_config: Dictionary = SETTINGS_CONFIGURATION[key] + var setting_name: String = "dialogue_manager/%s" % key + if not ProjectSettings.has_setting(setting_name): + ProjectSettings.set_setting(setting_name, setting_config.value) + ProjectSettings.set_initial_value(setting_name, setting_config.value) + ProjectSettings.add_property_info({ + "name" = setting_name, + "type" = setting_config.type, + "hint" = setting_config.get("hint", PROPERTY_HINT_NONE), + "hint_string" = setting_config.get("hint_string", "") + }) + ProjectSettings.set_as_basic(setting_name, not setting_config.has("is_advanced")) + ProjectSettings.set_as_internal(setting_name, setting_config.has("is_hidden")) + + if should_save_settings: + ProjectSettings.save() + + +static func set_setting(key: String, value) -> void: + if get_setting(key, value) != value: + ProjectSettings.set_setting("dialogue_manager/%s" % key, value) + ProjectSettings.set_initial_value("dialogue_manager/%s" % key, SETTINGS_CONFIGURATION[key].value) + ProjectSettings.save() + + +static func get_setting(key: String, default): + if ProjectSettings.has_setting("dialogue_manager/%s" % key): + return ProjectSettings.get_setting("dialogue_manager/%s" % key) + else: + return default + + +static func get_settings(only_keys: PackedStringArray = []) -> Dictionary: + var settings: Dictionary = {} + for key in SETTINGS_CONFIGURATION.keys(): + if only_keys.is_empty() or key in only_keys: + settings[key] = get_setting(key, SETTINGS_CONFIGURATION[key].value) + return settings + + +#endregion + +#region User + + +static func get_user_config() -> Dictionary: + var user_config: Dictionary = { + check_for_updates = true, + just_refreshed = null, + recent_files = [], + reopen_files = [], + most_recent_reopen_file = "", + file_meta = {}, + run_title = "", + run_resource_path = "", + is_running_test_scene = false, + has_dotnet_solution = false, + open_in_external_editor = false + } + + if FileAccess.file_exists(DMConstants.USER_CONFIG_PATH): + var file: FileAccess = FileAccess.open(DMConstants.USER_CONFIG_PATH, FileAccess.READ) + user_config.merge(JSON.parse_string(file.get_as_text()), true) + + return user_config + + +static func save_user_config(user_config: Dictionary) -> void: + var file: FileAccess = FileAccess.open(DMConstants.USER_CONFIG_PATH, FileAccess.WRITE) + file.store_string(JSON.stringify(user_config)) + + +static func set_user_value(key: String, value) -> void: + var user_config: Dictionary = get_user_config() + user_config[key] = value + save_user_config(user_config) + + +static func get_user_value(key: String, default = null) -> Variant: + return get_user_config().get(key, default) + + +static func forget_path(path: String) -> void: + remove_recent_file(path) + var file_meta: Dictionary = get_user_value("file_meta", {}) + file_meta.erase(path) + set_user_value("file_meta", file_meta) + + +static func add_recent_file(path: String) -> void: + var recent_files: Array = get_user_value("recent_files", []) + if path in recent_files: + recent_files.erase(path) + recent_files.insert(0, path) + set_user_value("recent_files", recent_files) + + +static func move_recent_file(from_path: String, to_path: String) -> void: + var recent_files: Array = get_user_value("recent_files", []) + for i in range(0, recent_files.size()): + if recent_files[i] == from_path: + recent_files[i] = to_path + set_user_value("recent_files", recent_files) + + +static func remove_recent_file(path: String) -> void: + var recent_files: Array = get_user_value("recent_files", []) + if path in recent_files: + recent_files.erase(path) + set_user_value("recent_files", recent_files) + + +static func get_recent_files() -> Array: + return get_user_value("recent_files", []) + + +static func clear_recent_files() -> void: + set_user_value("recent_files", []) + set_user_value("carets", {}) + + +static func set_caret(path: String, cursor: Vector2) -> void: + var file_meta: Dictionary = get_user_value("file_meta", {}) + file_meta[path] = file_meta.get(path, {}).merged({ cursor = "%d,%d" % [cursor.x, cursor.y] }, true) + set_user_value("file_meta", file_meta) + + +static func get_caret(path: String) -> Vector2: + var file_meta: Dictionary = get_user_value("file_meta", {}) + if file_meta.has(path): + var cursor: PackedStringArray = file_meta.get(path).get("cursor", "0,0").split(",") + return Vector2(cursor[0].to_int(), cursor[1].to_int()) + else: + return Vector2.ZERO + + +static func set_scroll(path: String, scroll_vertical: int) -> void: + var file_meta: Dictionary = get_user_value("file_meta", {}) + file_meta[path] = file_meta.get(path, {}).merged({ scroll_vertical = scroll_vertical }, true) + set_user_value("file_meta", file_meta) + + +static func get_scroll(path: String) -> int: + var file_meta: Dictionary = get_user_value("file_meta", {}) + if file_meta.has(path): + return file_meta.get(path).get("scroll_vertical", 0) + else: + return 0 + + +static func check_for_dotnet_solution() -> bool: + if Engine.is_editor_hint(): + var has_dotnet_solution: bool = false + if ProjectSettings.has_setting("dotnet/project/solution_directory"): + var directory: String = ProjectSettings.get("dotnet/project/solution_directory") + var file_name: String = ProjectSettings.get("dotnet/project/assembly_name") + has_dotnet_solution = FileAccess.file_exists("res://%s/%s.sln" % [directory, file_name]) + set_setting(DMSettings.USES_DOTNET, has_dotnet_solution) + return has_dotnet_solution + + return get_setting(DMSettings.USES_DOTNET, false) + + +#endregion diff --git a/addons/dialogue_manager/settings.gd.uid b/addons/dialogue_manager/settings.gd.uid new file mode 100644 index 0000000..c93da98 --- /dev/null +++ b/addons/dialogue_manager/settings.gd.uid @@ -0,0 +1 @@ +uid://ce1nk88365m52 diff --git a/addons/dialogue_manager/test_scene.gd b/addons/dialogue_manager/test_scene.gd new file mode 100644 index 0000000..e621667 --- /dev/null +++ b/addons/dialogue_manager/test_scene.gd @@ -0,0 +1,37 @@ +class_name BaseDialogueTestScene extends Node2D + + +const DialogueSettings = preload("./settings.gd") +const DialogueResource = preload("./dialogue_resource.gd") + + +@onready var title: String = DialogueSettings.get_user_value("run_title") +@onready var resource: DialogueResource = load(DialogueSettings.get_user_value("run_resource_path")) + + +func _ready(): + if not Engine.is_embedded_in_editor: + var window: Window = get_viewport() + var screen_index: int = DisplayServer.get_primary_screen() + window.position = Vector2(DisplayServer.screen_get_position(screen_index)) + (DisplayServer.screen_get_size(screen_index) - window.size) * 0.5 + window.mode = Window.MODE_WINDOWED + + # Normally you can just call DialogueManager directly but doing so before the plugin has been + # enabled in settings will throw a compiler error here so I'm using `get_singleton` instead. + var dialogue_manager = Engine.get_singleton("DialogueManager") + dialogue_manager.dialogue_ended.connect(_on_dialogue_ended) + dialogue_manager.show_dialogue_balloon(resource, title if not title.is_empty() else resource.first_title) + + +func _enter_tree() -> void: + DialogueSettings.set_user_value("is_running_test_scene", false) + + +#region Signals + + +func _on_dialogue_ended(_resource: DialogueResource): + get_tree().quit() + + +#endregion diff --git a/addons/dialogue_manager/test_scene.gd.uid b/addons/dialogue_manager/test_scene.gd.uid new file mode 100644 index 0000000..1bee7a1 --- /dev/null +++ b/addons/dialogue_manager/test_scene.gd.uid @@ -0,0 +1 @@ +uid://c8e16qdgu40wo diff --git a/addons/dialogue_manager/test_scene.tscn b/addons/dialogue_manager/test_scene.tscn new file mode 100644 index 0000000..f0786ba --- /dev/null +++ b/addons/dialogue_manager/test_scene.tscn @@ -0,0 +1,6 @@ +[gd_scene load_steps=2 format=3 uid="uid://ugd552efvil0"] + +[ext_resource type="Script" uid="uid://c8e16qdgu40wo" path="res://addons/dialogue_manager/test_scene.gd" id="1_yupoh"] + +[node name="TestScene" type="Node2D"] +script = ExtResource("1_yupoh") diff --git a/addons/dialogue_manager/utilities/builtins.gd b/addons/dialogue_manager/utilities/builtins.gd new file mode 100644 index 0000000..1f8f8ba --- /dev/null +++ b/addons/dialogue_manager/utilities/builtins.gd @@ -0,0 +1,505 @@ +extends Object + + +const DialogueConstants = preload("../constants.gd") + +const SUPPORTED_BUILTIN_TYPES = [ + TYPE_STRING, + TYPE_STRING_NAME, + TYPE_ARRAY, + TYPE_PACKED_STRING_ARRAY, + TYPE_VECTOR2, + TYPE_VECTOR3, + TYPE_VECTOR4, + TYPE_DICTIONARY, + TYPE_QUATERNION, + TYPE_COLOR, + TYPE_SIGNAL, + TYPE_CALLABLE +] + + +static var resolve_method_error: Error = OK + + +static func is_supported(thing, with_method: String = "") -> bool: + if not typeof(thing) in SUPPORTED_BUILTIN_TYPES: return false + + # If given a Dictionary and a method then make sure it's a known Dictionary method. + if typeof(thing) == TYPE_DICTIONARY and with_method != "": + return with_method in [ + &"clear", + &"duplicate", + &"erase", + &"find_key", + &"get", + &"get_or_add", + &"has", + &"has_all", + &"hash", + &"is_empty", + &"is_read_only", + &"keys", + &"make_read_only", + &"merge", + &"merged", + &"recursive_equal", + &"size", + &"values"] + + return true + + +static func resolve_property(builtin, property: String): + match typeof(builtin): + TYPE_ARRAY, TYPE_PACKED_STRING_ARRAY, TYPE_DICTIONARY, TYPE_QUATERNION, TYPE_STRING, TYPE_STRING_NAME: + return builtin[property] + + # Some types have constants that we need to manually resolve + + TYPE_VECTOR2: + return resolve_vector2_property(builtin, property) + TYPE_VECTOR3: + return resolve_vector3_property(builtin, property) + TYPE_VECTOR4: + return resolve_vector4_property(builtin, property) + TYPE_COLOR: + return resolve_color_property(builtin, property) + + +static func resolve_method(thing, method_name: String, args: Array): + resolve_method_error = OK + + # Resolve static methods manually + match typeof(thing): + TYPE_VECTOR2: + match method_name: + "from_angle": + return Vector2.from_angle(args[0]) + + TYPE_COLOR: + match method_name: + "from_hsv": + return Color.from_hsv(args[0], args[1], args[2]) if args.size() == 3 else Color.from_hsv(args[0], args[1], args[2], args[3]) + "from_ok_hsl": + return Color.from_ok_hsl(args[0], args[1], args[2]) if args.size() == 3 else Color.from_ok_hsl(args[0], args[1], args[2], args[3]) + "from_rgbe9995": + return Color.from_rgbe9995(args[0]) + "from_string": + return Color.from_string(args[0], args[1]) + + TYPE_QUATERNION: + match method_name: + "from_euler": + return Quaternion.from_euler(args[0]) + + # Anything else can be evaulatated automatically + var references: Array = ["thing"] + for i in range(0, args.size()): + references.append("arg%d" % i) + var expression = Expression.new() + if expression.parse("thing.%s(%s)" % [method_name, ",".join(references.slice(1))], references) != OK: + assert(false, expression.get_error_text()) + var result = expression.execute([thing] + args, null, false) + if expression.has_execute_failed(): + resolve_method_error = ERR_CANT_RESOLVE + return null + + return result + + +static func has_resolve_method_failed() -> bool: + return resolve_method_error != OK + + +static func resolve_color_property(color: Color, property: String): + match property: + "ALICE_BLUE": + return Color.ALICE_BLUE + "ANTIQUE_WHITE": + return Color.ANTIQUE_WHITE + "AQUA": + return Color.AQUA + "AQUAMARINE": + return Color.AQUAMARINE + "AZURE": + return Color.AZURE + "BEIGE": + return Color.BEIGE + "BISQUE": + return Color.BISQUE + "BLACK": + return Color.BLACK + "BLANCHED_ALMOND": + return Color.BLANCHED_ALMOND + "BLUE": + return Color.BLUE + "BLUE_VIOLET": + return Color.BLUE_VIOLET + "BROWN": + return Color.BROWN + "BURLYWOOD": + return Color.BURLYWOOD + "CADET_BLUE": + return Color.CADET_BLUE + "CHARTREUSE": + return Color.CHARTREUSE + "CHOCOLATE": + return Color.CHOCOLATE + "CORAL": + return Color.CORAL + "CORNFLOWER_BLUE": + return Color.CORNFLOWER_BLUE + "CORNSILK": + return Color.CORNSILK + "CRIMSON": + return Color.CRIMSON + "CYAN": + return Color.CYAN + "DARK_BLUE": + return Color.DARK_BLUE + "DARK_CYAN": + return Color.DARK_CYAN + "DARK_GOLDENROD": + return Color.DARK_GOLDENROD + "DARK_GRAY": + return Color.DARK_GRAY + "DARK_GREEN": + return Color.DARK_GREEN + "DARK_KHAKI": + return Color.DARK_KHAKI + "DARK_MAGENTA": + return Color.DARK_MAGENTA + "DARK_OLIVE_GREEN": + return Color.DARK_OLIVE_GREEN + "DARK_ORANGE": + return Color.DARK_ORANGE + "DARK_ORCHID": + return Color.DARK_ORCHID + "DARK_RED": + return Color.DARK_RED + "DARK_SALMON": + return Color.DARK_SALMON + "DARK_SEA_GREEN": + return Color.DARK_SEA_GREEN + "DARK_SLATE_BLUE": + return Color.DARK_SLATE_BLUE + "DARK_SLATE_GRAY": + return Color.DARK_SLATE_GRAY + "DARK_TURQUOISE": + return Color.DARK_TURQUOISE + "DARK_VIOLET": + return Color.DARK_VIOLET + "DEEP_PINK": + return Color.DEEP_PINK + "DEEP_SKY_BLUE": + return Color.DEEP_SKY_BLUE + "DIM_GRAY": + return Color.DIM_GRAY + "DODGER_BLUE": + return Color.DODGER_BLUE + "FIREBRICK": + return Color.FIREBRICK + "FLORAL_WHITE": + return Color.FLORAL_WHITE + "FOREST_GREEN": + return Color.FOREST_GREEN + "FUCHSIA": + return Color.FUCHSIA + "GAINSBORO": + return Color.GAINSBORO + "GHOST_WHITE": + return Color.GHOST_WHITE + "GOLD": + return Color.GOLD + "GOLDENROD": + return Color.GOLDENROD + "GRAY": + return Color.GRAY + "GREEN": + return Color.GREEN + "GREEN_YELLOW": + return Color.GREEN_YELLOW + "HONEYDEW": + return Color.HONEYDEW + "HOT_PINK": + return Color.HOT_PINK + "INDIAN_RED": + return Color.INDIAN_RED + "INDIGO": + return Color.INDIGO + "IVORY": + return Color.IVORY + "KHAKI": + return Color.KHAKI + "LAVENDER": + return Color.LAVENDER + "LAVENDER_BLUSH": + return Color.LAVENDER_BLUSH + "LAWN_GREEN": + return Color.LAWN_GREEN + "LEMON_CHIFFON": + return Color.LEMON_CHIFFON + "LIGHT_BLUE": + return Color.LIGHT_BLUE + "LIGHT_CORAL": + return Color.LIGHT_CORAL + "LIGHT_CYAN": + return Color.LIGHT_CYAN + "LIGHT_GOLDENROD": + return Color.LIGHT_GOLDENROD + "LIGHT_GRAY": + return Color.LIGHT_GRAY + "LIGHT_GREEN": + return Color.LIGHT_GREEN + "LIGHT_PINK": + return Color.LIGHT_PINK + "LIGHT_SALMON": + return Color.LIGHT_SALMON + "LIGHT_SEA_GREEN": + return Color.LIGHT_SEA_GREEN + "LIGHT_SKY_BLUE": + return Color.LIGHT_SKY_BLUE + "LIGHT_SLATE_GRAY": + return Color.LIGHT_SLATE_GRAY + "LIGHT_STEEL_BLUE": + return Color.LIGHT_STEEL_BLUE + "LIGHT_YELLOW": + return Color.LIGHT_YELLOW + "LIME": + return Color.LIME + "LIME_GREEN": + return Color.LIME_GREEN + "LINEN": + return Color.LINEN + "MAGENTA": + return Color.MAGENTA + "MAROON": + return Color.MAROON + "MEDIUM_AQUAMARINE": + return Color.MEDIUM_AQUAMARINE + "MEDIUM_BLUE": + return Color.MEDIUM_BLUE + "MEDIUM_ORCHID": + return Color.MEDIUM_ORCHID + "MEDIUM_PURPLE": + return Color.MEDIUM_PURPLE + "MEDIUM_SEA_GREEN": + return Color.MEDIUM_SEA_GREEN + "MEDIUM_SLATE_BLUE": + return Color.MEDIUM_SLATE_BLUE + "MEDIUM_SPRING_GREEN": + return Color.MEDIUM_SPRING_GREEN + "MEDIUM_TURQUOISE": + return Color.MEDIUM_TURQUOISE + "MEDIUM_VIOLET_RED": + return Color.MEDIUM_VIOLET_RED + "MIDNIGHT_BLUE": + return Color.MIDNIGHT_BLUE + "MINT_CREAM": + return Color.MINT_CREAM + "MISTY_ROSE": + return Color.MISTY_ROSE + "MOCCASIN": + return Color.MOCCASIN + "NAVAJO_WHITE": + return Color.NAVAJO_WHITE + "NAVY_BLUE": + return Color.NAVY_BLUE + "OLD_LACE": + return Color.OLD_LACE + "OLIVE": + return Color.OLIVE + "OLIVE_DRAB": + return Color.OLIVE_DRAB + "ORANGE": + return Color.ORANGE + "ORANGE_RED": + return Color.ORANGE_RED + "ORCHID": + return Color.ORCHID + "PALE_GOLDENROD": + return Color.PALE_GOLDENROD + "PALE_GREEN": + return Color.PALE_GREEN + "PALE_TURQUOISE": + return Color.PALE_TURQUOISE + "PALE_VIOLET_RED": + return Color.PALE_VIOLET_RED + "PAPAYA_WHIP": + return Color.PAPAYA_WHIP + "PEACH_PUFF": + return Color.PEACH_PUFF + "PERU": + return Color.PERU + "PINK": + return Color.PINK + "PLUM": + return Color.PLUM + "POWDER_BLUE": + return Color.POWDER_BLUE + "PURPLE": + return Color.PURPLE + "REBECCA_PURPLE": + return Color.REBECCA_PURPLE + "RED": + return Color.RED + "ROSY_BROWN": + return Color.ROSY_BROWN + "ROYAL_BLUE": + return Color.ROYAL_BLUE + "SADDLE_BROWN": + return Color.SADDLE_BROWN + "SALMON": + return Color.SALMON + "SANDY_BROWN": + return Color.SANDY_BROWN + "SEA_GREEN": + return Color.SEA_GREEN + "SEASHELL": + return Color.SEASHELL + "SIENNA": + return Color.SIENNA + "SILVER": + return Color.SILVER + "SKY_BLUE": + return Color.SKY_BLUE + "SLATE_BLUE": + return Color.SLATE_BLUE + "SLATE_GRAY": + return Color.SLATE_GRAY + "SNOW": + return Color.SNOW + "SPRING_GREEN": + return Color.SPRING_GREEN + "STEEL_BLUE": + return Color.STEEL_BLUE + "TAN": + return Color.TAN + "TEAL": + return Color.TEAL + "THISTLE": + return Color.THISTLE + "TOMATO": + return Color.TOMATO + "TRANSPARENT": + return Color.TRANSPARENT + "TURQUOISE": + return Color.TURQUOISE + "VIOLET": + return Color.VIOLET + "WEB_GRAY": + return Color.WEB_GRAY + "WEB_GREEN": + return Color.WEB_GREEN + "WEB_MAROON": + return Color.WEB_MAROON + "WEB_PURPLE": + return Color.WEB_PURPLE + "WHEAT": + return Color.WHEAT + "WHITE": + return Color.WHITE + "WHITE_SMOKE": + return Color.WHITE_SMOKE + "YELLOW": + return Color.YELLOW + "YELLOW_GREEN": + return Color.YELLOW_GREEN + + return color[property] + + +static func resolve_vector2_property(vector: Vector2, property: String): + match property: + "AXIS_X": + return Vector2.AXIS_X + "AXIS_Y": + return Vector2.AXIS_Y + "ZERO": + return Vector2.ZERO + "ONE": + return Vector2.ONE + "INF": + return Vector2.INF + "LEFT": + return Vector2.LEFT + "RIGHT": + return Vector2.RIGHT + "UP": + return Vector2.UP + "DOWN": + return Vector2.DOWN + + "DOWN_LEFT": + return Vector2(-1, 1) + "DOWN_RIGHT": + return Vector2(1, 1) + "UP_LEFT": + return Vector2(-1, -1) + "UP_RIGHT": + return Vector2(1, -1) + + return vector[property] + + +static func resolve_vector3_property(vector: Vector3, property: String): + match property: + "AXIS_X": + return Vector3.AXIS_X + "AXIS_Y": + return Vector3.AXIS_Y + "AXIS_Z": + return Vector3.AXIS_Z + "ZERO": + return Vector3.ZERO + "ONE": + return Vector3.ONE + "INF": + return Vector3.INF + "LEFT": + return Vector3.LEFT + "RIGHT": + return Vector3.RIGHT + "UP": + return Vector3.UP + "DOWN": + return Vector3.DOWN + "FORWARD": + return Vector3.FORWARD + "BACK": + return Vector3.BACK + "MODEL_LEFT": + return Vector3(1, 0, 0) + "MODEL_RIGHT": + return Vector3(-1, 0, 0) + "MODEL_TOP": + return Vector3(0, 1, 0) + "MODEL_BOTTOM": + return Vector3(0, -1, 0) + "MODEL_FRONT": + return Vector3(0, 0, 1) + "MODEL_REAR": + return Vector3(0, 0, -1) + + return vector[property] + + +static func resolve_vector4_property(vector: Vector4, property: String): + match property: + "AXIS_X": + return Vector4.AXIS_X + "AXIS_Y": + return Vector4.AXIS_Y + "AXIS_Z": + return Vector4.AXIS_Z + "AXIS_W": + return Vector4.AXIS_W + "ZERO": + return Vector4.ZERO + "ONE": + return Vector4.ONE + "INF": + return Vector4.INF + + return vector[property] diff --git a/addons/dialogue_manager/utilities/builtins.gd.uid b/addons/dialogue_manager/utilities/builtins.gd.uid new file mode 100644 index 0000000..af8698c --- /dev/null +++ b/addons/dialogue_manager/utilities/builtins.gd.uid @@ -0,0 +1 @@ +uid://bnfhuubdv5k20 diff --git a/addons/dialogue_manager/utilities/dialogue_cache.gd b/addons/dialogue_manager/utilities/dialogue_cache.gd new file mode 100644 index 0000000..53b5efc --- /dev/null +++ b/addons/dialogue_manager/utilities/dialogue_cache.gd @@ -0,0 +1,171 @@ +class_name DMCache extends Node + + +signal file_content_changed(path: String, new_content: String) + + +# Keep track of errors and dependencies +# { +# = { +# path = , +# dependencies = [, ], +# errors = [, ] +# } +# } +var _cache: Dictionary = {} + +var _update_dependency_timer: Timer = Timer.new() +var _update_dependency_paths: PackedStringArray = [] + +var _files_marked_for_reimport: PackedStringArray = [] + + +func _ready() -> void: + add_child(_update_dependency_timer) + _update_dependency_timer.timeout.connect(_on_update_dependency_timeout) + + _build_cache() + + +func mark_files_for_reimport(files: PackedStringArray) -> void: + for file in files: + if not _files_marked_for_reimport.has(file): + _files_marked_for_reimport.append(file) + + +func reimport_files(and_files: PackedStringArray = []) -> void: + for file in and_files: + if not _files_marked_for_reimport.has(file): + _files_marked_for_reimport.append(file) + + if _files_marked_for_reimport.is_empty(): return + + EditorInterface.get_resource_filesystem().reimport_files(_files_marked_for_reimport) + _files_marked_for_reimport.clear() + + +## Add a dialogue file to the cache. +func add_file(path: String, compile_result: DMCompilerResult = null) -> void: + _cache[path] = { + path = path, + dependencies = [], + errors = [] + } + + if compile_result != null: + _cache[path].dependencies = Array(compile_result.imported_paths).filter(func(d): return d != path) + _cache[path].compiled_at = Time.get_ticks_msec() + + # If this is a fresh cache entry, check for dependencies + if compile_result == null and not _update_dependency_paths.has(path): + queue_updating_dependencies(path) + + +## Get the file paths in the cache +func get_files() -> PackedStringArray: + return _cache.keys() + + +## Check if a file is known to the cache +func has_file(path: String) -> bool: + return _cache.has(path) + + +## Remember any errors in a dialogue file +func add_errors_to_file(path: String, errors: Array[Dictionary]) -> void: + if _cache.has(path): + _cache[path].errors = errors + else: + _cache[path] = { + path = path, + resource_path = "", + dependencies = [], + errors = errors + } + + +## Get a list of files that have errors +func get_files_with_errors() -> Array[Dictionary]: + var files_with_errors: Array[Dictionary] = [] + for dialogue_file in _cache.values(): + if dialogue_file and dialogue_file.errors.size() > 0: + files_with_errors.append(dialogue_file) + return files_with_errors + + +## Queue a file to have its dependencies checked +func queue_updating_dependencies(of_path: String) -> void: + _update_dependency_timer.stop() + if not _update_dependency_paths.has(of_path): + _update_dependency_paths.append(of_path) + _update_dependency_timer.start(0.5) + + +## Update any references to a file path that has moved +func move_file_path(from_path: String, to_path: String) -> void: + if not _cache.has(from_path): return + + if to_path != "": + _cache[to_path] = _cache[from_path].duplicate() + _cache.erase(from_path) + + +## Get every dialogue file that imports on a file of a given path +func get_files_with_dependency(imported_path: String) -> Array: + return _cache.values().filter(func(d): return d.dependencies.has(imported_path)) + + +## Get any paths that are dependent on a given path +func get_dependent_paths_for_reimport(on_path: String) -> PackedStringArray: + return get_files_with_dependency(on_path) \ + .filter(func(d): return Time.get_ticks_msec() - d.get("compiled_at", 0) > 3000) \ + .map(func(d): return d.path) + + +# Build the initial cache for dialogue files +func _build_cache() -> void: + var current_files: PackedStringArray = _get_dialogue_files_in_filesystem() + for file in current_files: + add_file(file) + + +# Recursively find any dialogue files in a directory +func _get_dialogue_files_in_filesystem(path: String = "res://") -> PackedStringArray: + var files: PackedStringArray = [] + + if DirAccess.dir_exists_absolute(path): + var dir = DirAccess.open(path) + dir.list_dir_begin() + var file_name = dir.get_next() + while file_name != "": + var file_path: String = (path + "/" + file_name).simplify_path() + if dir.current_is_dir(): + if not file_name in [".godot", ".tmp"]: + files.append_array(_get_dialogue_files_in_filesystem(file_path)) + elif file_name.get_extension() == "dialogue": + files.append(file_path) + file_name = dir.get_next() + + return files + + +#region Signals + + +func _on_update_dependency_timeout() -> void: + _update_dependency_timer.stop() + var import_regex: RegEx = RegEx.create_from_string("import \"(?.*?)\"") + var file: FileAccess + var found_imports: Array[RegExMatch] + for path in _update_dependency_paths: + # Open the file and check for any "import" lines + file = FileAccess.open(path, FileAccess.READ) + found_imports = import_regex.search_all(file.get_as_text()) + var dependencies: PackedStringArray = [] + for found in found_imports: + dependencies.append(found.strings[found.names.path]) + _cache[path].dependencies = dependencies + _update_dependency_paths.clear() + + +#endregion diff --git a/addons/dialogue_manager/utilities/dialogue_cache.gd.uid b/addons/dialogue_manager/utilities/dialogue_cache.gd.uid new file mode 100644 index 0000000..e572006 --- /dev/null +++ b/addons/dialogue_manager/utilities/dialogue_cache.gd.uid @@ -0,0 +1 @@ +uid://d3c83yd6bjp43 diff --git a/addons/dialogue_manager/utilities/translations.gd b/addons/dialogue_manager/utilities/translations.gd new file mode 100644 index 0000000..6de7160 --- /dev/null +++ b/addons/dialogue_manager/utilities/translations.gd @@ -0,0 +1,312 @@ +## A collection of utility functions for working with dialogue translations. +class_name DMTranslationUtilities extends RefCounted + + +## Generate translation keys from some text. +static func generate_translation_keys(text: String) -> String: + var rng: RandomNumberGenerator = RandomNumberGenerator.new() + rng.randomize() + + var lines: PackedStringArray = text.split("\n") + + var key_regex = RegEx.new() + key_regex.compile("\\[ID:(?.*?)\\]") + + var compiled_lines: Dictionary = DMCompiler.compile_string(text, "").lines + + # Make list of known keys + var known_keys = {} + for i in range(0, lines.size()): + var line = lines[i] + var found = key_regex.search(line) + if found: + var translatable_text: String = "" + var l = line.replace(found.strings[0], "").strip_edges().strip_edges() + if l.begins_with("- "): + translatable_text = DMCompiler.extract_translatable_string(l) + elif ":" in l: + translatable_text = l.split(":")[1] + else: + translatable_text = l + known_keys[found.strings[found.names.get("key")]] = translatable_text + + # Add in any that are missing + for i in lines.size(): + var line = lines[i] + var l = line.strip_edges() + + if not [DMConstants.TYPE_DIALOGUE, DMConstants.TYPE_RESPONSE].has(DMCompiler.get_line_type(l)): continue + if not compiled_lines.has(str(i)): continue + + if "[ID:" in line: continue + + var translatable_text: String = "" + if l.begins_with("- "): + translatable_text = DMCompiler.extract_translatable_string(l) + else: + translatable_text = l.substr(l.find(":") + 1) + + var key: String = "" + if known_keys.values().has(translatable_text): + key = known_keys.find_key(translatable_text) + else: + var regex: DMCompilerRegEx = DMCompilerRegEx.new() + if DMSettings.get_setting(DMSettings.USE_UUID_ONLY_FOR_IDS, false): + # Generate UUID only + var uuid = str(randi() % 1000000).sha1_text().substr(0, 12) + key = uuid.to_upper() + else: + # Generate text prefix + hash + var prefix_length = DMSettings.get_setting(DMSettings.AUTO_GENERATED_ID_PREFIX_LENGTH, 30) + key = regex.ALPHA_NUMERIC.sub(translatable_text.strip_edges(), "_", true).substr(0, prefix_length) + if key.begins_with("_"): + key = key.substr(1) + if key.ends_with("_"): + key = key.substr(0, key.length() - 1) + + # Make sure key is unique + var hashed_key: String = key + "_" + str(randi() % 1000000).sha1_text().substr(0, 6) + while hashed_key in known_keys and translatable_text != known_keys.get(hashed_key): + hashed_key = key + "_" + str(randi() % 1000000).sha1_text().substr(0, 6) + key = hashed_key.to_upper() + + line = line.replace("\\n", "!NEWLINE!") + translatable_text = translatable_text.replace("\n", "!NEWLINE!") + lines[i] = line.replace(translatable_text, translatable_text + " [ID:%s]" % [key]).replace("!NEWLINE!", "\\n") + + known_keys[key] = translatable_text + + return "\n".join(lines) + + +## Export dialogue and responses to CSV. +static func export_translations_to_csv(to_path: String, text: String, dialogue_path: String) -> void: + var default_locale: String = DMSettings.get_setting(DMSettings.DEFAULT_CSV_LOCALE, "en") + + var file: FileAccess + + # If the file exists, open it first and work out which keys are already in it + var existing_csv: Dictionary = {} + var delimiter: String = get_delimiter_for_csv(to_path) + var column_count: int = 2 + var default_locale_column: int = 1 + var character_column: int = -1 + var notes_column: int = -1 + if FileAccess.file_exists(to_path): + file = FileAccess.open(to_path, FileAccess.READ) + var is_first_line = true + var line: Array + while !file.eof_reached(): + line = file.get_csv_line(delimiter) + if is_first_line: + is_first_line = false + column_count = line.size() + for i in range(1, line.size()): + if line[i] == default_locale: + default_locale_column = i + elif line[i] == "_character": + character_column = i + elif line[i] == "_notes": + notes_column = i + + # Make sure the line isn't empty before adding it + if line.size() > 0 and line[0].strip_edges() != "": + existing_csv[line[0]] = line + + # The character column wasn't found in the existing file but the setting is turned on + if character_column == -1 and DMSettings.get_setting(DMSettings.INCLUDE_CHARACTER_IN_TRANSLATION_EXPORTS, false): + character_column = column_count + column_count += 1 + existing_csv["keys"].append("_character") + + # The notes column wasn't found in the existing file but the setting is turned on + if notes_column == -1 and DMSettings.get_setting(DMSettings.INCLUDE_NOTES_IN_TRANSLATION_EXPORTS, false): + notes_column = column_count + column_count += 1 + existing_csv["keys"].append("_notes") + + # Start a new file + file = FileAccess.open(to_path, FileAccess.WRITE) + + if not FileAccess.file_exists(to_path): + var headings: PackedStringArray = ["keys", default_locale] + DMSettings.get_setting(DMSettings.EXTRA_CSV_LOCALES, []) + if DMSettings.get_setting(DMSettings.INCLUDE_CHARACTER_IN_TRANSLATION_EXPORTS, false): + character_column = headings.size() + headings.append("_character") + if DMSettings.get_setting(DMSettings.INCLUDE_NOTES_IN_TRANSLATION_EXPORTS, false): + notes_column = headings.size() + headings.append("_notes") + + file.store_csv_line(headings, delimiter) + column_count = headings.size() + + # Write our translations to file + var known_keys: PackedStringArray = [] + + var dialogue = DMCompiler.compile_string(text, dialogue_path).lines + + # Make a list of stuff that needs to go into the file + var lines_to_save = [] + for key in dialogue.keys(): + var line: Dictionary = dialogue.get(key) + + if not line.type in [DMConstants.TYPE_DIALOGUE, DMConstants.TYPE_RESPONSE]: continue + + var translation_key: String = line.get(&"translation_key", line.text) + + if translation_key in known_keys: continue + + known_keys.append(translation_key) + + var line_to_save: PackedStringArray = [] + if existing_csv.has(translation_key): + line_to_save = existing_csv.get(translation_key) + line_to_save.resize(column_count) + existing_csv.erase(translation_key) + else: + line_to_save.resize(column_count) + line_to_save[0] = translation_key + + line_to_save[default_locale_column] = line.text + if character_column > -1: + line_to_save[character_column] = "(response)" if line.type == DMConstants.TYPE_RESPONSE else line.character + if notes_column > -1: + line_to_save[notes_column] = line.notes + + lines_to_save.append(line_to_save) + + # Store lines in the file, starting with anything that already exists that hasn't been touched + for line in existing_csv.values(): + file.store_csv_line(line, delimiter) + for line in lines_to_save: + file.store_csv_line(line, delimiter) + + file.close() + + +## Get the delimier used for an existing CSV +static func get_delimiter_for_csv(path: String) -> String: + if FileAccess.file_exists(path): + var import_path: String = "%s.%s" % [path, "import"] + var import_file: ConfigFile = ConfigFile.new() + if import_file.load(import_path) == OK: + match import_file.get_value("params", "delimier", 0): + 0: + return "," + 1: + return ";" + 2: + return "\t" + + match DMSettings.get_setting(DMSettings.DEFAULT_CSV_DELIMITER, "Comma"): + "Comma": + return "," + "Semicolon": + return ";" + "Tab": + return "\t" + + return "," + + +## Save any character names in a file to CSV. +static func export_character_names_to_csv(to_path: String, text: String, dialogue_path: String) -> void: + var file: FileAccess + + # If the file exists, open it first and work out which keys are already in it + var existing_csv = {} + var delimiter: String = get_delimiter_for_csv(to_path) + var commas = [] + if FileAccess.file_exists(to_path): + file = FileAccess.open(to_path, FileAccess.READ) + var is_first_line = true + var line: Array + while !file.eof_reached(): + line = file.get_csv_line(delimiter) + if is_first_line: + is_first_line = false + for i in range(2, line.size()): + commas.append("") + # Make sure the line isn't empty before adding it + if line.size() > 0 and line[0].strip_edges() != "": + existing_csv[line[0]] = line + + # Start a new file + file = FileAccess.open(to_path, FileAccess.WRITE) + + if not file.file_exists(to_path): + file.store_csv_line(["keys", DMSettings.get_setting(DMSettings.DEFAULT_CSV_LOCALE, "en")], delimiter) + + # Write our translations to file + var known_keys: PackedStringArray = [] + + var character_names: PackedStringArray = DMCompiler.compile_string(text, dialogue_path).character_names + + # Make a list of stuff that needs to go into the file + var lines_to_save = [] + for character_name in character_names: + if character_name in known_keys: continue + + known_keys.append(character_name) + + if existing_csv.has(character_name): + var existing_line = existing_csv.get(character_name) + existing_line[1] = character_name + lines_to_save.append(existing_line) + existing_csv.erase(character_name) + else: + lines_to_save.append(PackedStringArray([character_name, character_name] + commas)) + + # Store lines in the file, starting with anything that already exists that hasn't been touched + for line in existing_csv.values(): + file.store_csv_line(line, delimiter) + for line in lines_to_save: + file.store_csv_line(line, delimiter) + + file.close() + + +## Replace translatable lines in some text using an existing CSV. +static func import_translations_from_csv(from_path: String, text: String) -> String: + if not FileAccess.file_exists(from_path): return text + + # Open the CSV file and build a dictionary of the known keys + var delimiter: String = get_delimiter_for_csv(from_path) + var keys: Dictionary = {} + var file: FileAccess = FileAccess.open(from_path, FileAccess.READ) + var csv_line: Array + while !file.eof_reached(): + csv_line = file.get_csv_line(delimiter) + if csv_line.size() > 1: + keys[csv_line[0]] = csv_line[1] + + # Now look over each line in the dialogue and replace the content for matched keys + var lines: PackedStringArray = text.split("\n") + var start_index: int = 0 + var end_index: int = 0 + for i in range(0, lines.size()): + var line: String = lines[i] + var translation_key: String = DMCompiler.get_static_line_id(line) + if keys.has(translation_key): + if DMCompiler.get_line_type(line) == DMConstants.TYPE_DIALOGUE: + start_index = 0 + # See if we need to skip over a character name + line = line.replace("\\:", "!ESCAPED_COLON!") + if ": " in line: + start_index = line.find(": ") + 2 + lines[i] = (line.substr(0, start_index) + keys.get(translation_key) + " [ID:" + translation_key + "]").replace("!ESCAPED_COLON!", ":") + + elif DMCompiler.get_line_type(line) == DMConstants.TYPE_RESPONSE: + start_index = line.find("- ") + 2 + # See if we need to skip over a character name + line = line.replace("\\:", "!ESCAPED_COLON!") + if ": " in line: + start_index = line.find(": ") + 2 + end_index = line.length() + if " =>" in line: + end_index = line.find(" =>") + if " [if " in line: + end_index = line.find(" [if ") + lines[i] = (line.substr(0, start_index) + keys.get(translation_key) + " [ID:" + translation_key + "]" + line.substr(end_index)).replace("!ESCAPED_COLON!", ":") + + return "\n".join(lines) diff --git a/addons/dialogue_manager/utilities/translations.gd.uid b/addons/dialogue_manager/utilities/translations.gd.uid new file mode 100644 index 0000000..4c30f49 --- /dev/null +++ b/addons/dialogue_manager/utilities/translations.gd.uid @@ -0,0 +1 @@ +uid://c74q663mmfyk1 diff --git a/addons/dialogue_manager/utilities/waiter.gd b/addons/dialogue_manager/utilities/waiter.gd new file mode 100644 index 0000000..0724561 --- /dev/null +++ b/addons/dialogue_manager/utilities/waiter.gd @@ -0,0 +1,20 @@ +class_name DMWaiter extends Node + + +signal waited() + + +var _actions: PackedStringArray +var _null: String = str(null) + + +func _init(target_actions: PackedStringArray) -> void: + _actions = target_actions + + +func _input(event: InputEvent) -> void: + for action: String in _actions: + if event.is_pressed(): + if action == _null or (InputMap.has_action(action) and event.is_action(action)): + get_viewport().set_input_as_handled() + waited.emit() diff --git a/addons/dialogue_manager/utilities/waiter.gd.uid b/addons/dialogue_manager/utilities/waiter.gd.uid new file mode 100644 index 0000000..95646ea --- /dev/null +++ b/addons/dialogue_manager/utilities/waiter.gd.uid @@ -0,0 +1 @@ +uid://bx7dtro7ywali diff --git a/addons/dialogue_manager/views/find_in_dialogue_view.gd b/addons/dialogue_manager/views/find_in_dialogue_view.gd new file mode 100644 index 0000000..2e09a4f --- /dev/null +++ b/addons/dialogue_manager/views/find_in_dialogue_view.gd @@ -0,0 +1,241 @@ +@tool +extends Control + +signal result_selected(path: String, cursor: Vector2, length: int) + + +const DialogueConstants = preload("../constants.gd") + + +var main_view: Control + +@onready var input: LineEdit = %Input +@onready var search_button: Button = %SearchButton +@onready var match_case_button: CheckBox = %MatchCaseButton +@onready var replace_toggle: CheckButton = %ReplaceToggle +@onready var replace_container: VBoxContainer = %ReplaceContainer +@onready var replace_input: LineEdit = %ReplaceInput +@onready var replace_selected_button: Button = %ReplaceSelectedButton +@onready var replace_all_button: Button = %ReplaceAllButton +@onready var results_container: VBoxContainer = %ResultsContainer +@onready var result_template: HBoxContainer = %ResultTemplate + +var current_results: Dictionary = {}: + set(value): + current_results = value + update_results_view() + if current_results.size() == 0: + replace_selected_button.disabled = true + replace_all_button.disabled = true + else: + replace_selected_button.disabled = false + replace_all_button.disabled = false + get: + return current_results + +var selections: PackedStringArray = [] + + +func _ready() -> void: + remove_child(result_template) + + +func _exit_tree() -> void: + result_template.queue_free() + + +func prepare() -> void: + if not is_node_ready(): + await ready + + input.grab_focus() + + var template_label = result_template.get_node("Label") + template_label.get_theme_stylebox(&"focus").bg_color = main_view.code_edit.theme_overrides.current_line_color + template_label.add_theme_font_override(&"normal_font", main_view.code_edit.get_theme_font(&"font")) + + replace_toggle.set_pressed_no_signal(false) + replace_container.hide() + + $VBoxContainer/HBoxContainer/FindContainer/Label.text = DialogueConstants.translate(&"search.find") + input.placeholder_text = DialogueConstants.translate(&"search.placeholder") + input.text = "" + search_button.text = DialogueConstants.translate(&"search.find_all") + match_case_button.text = DialogueConstants.translate(&"search.match_case") + replace_toggle.text = DialogueConstants.translate(&"search.toggle_replace") + $VBoxContainer/HBoxContainer/ReplaceContainer/ReplaceLabel.text = DialogueConstants.translate(&"search.replace_with") + replace_input.placeholder_text = DialogueConstants.translate(&"search.replace_placeholder") + replace_input.text = "" + replace_all_button.text = DialogueConstants.translate(&"search.replace_all") + replace_selected_button.text = DialogueConstants.translate(&"search.replace_selected") + + selections.clear() + current_results = {} + + +#region helpers + + +func update_results_view() -> void: + for child in results_container.get_children(): + child.queue_free() + + for path in current_results.keys(): + var path_label: Label = Label.new() + path_label.text = path + # Show open files + if main_view.open_buffers.has(path): + path_label.text += "(*)" + results_container.add_child(path_label) + for path_result in current_results.get(path): + var result_item: HBoxContainer = result_template.duplicate() + + var checkbox: CheckBox = result_item.get_node("CheckBox") as CheckBox + var key: String = get_selection_key(path, path_result) + checkbox.toggled.connect(func(is_pressed): + if is_pressed: + if not selections.has(key): + selections.append(key) + else: + if selections.has(key): + selections.remove_at(selections.find(key)) + ) + checkbox.set_pressed_no_signal(selections.has(key)) + checkbox.visible = replace_toggle.button_pressed + + var result_label: RichTextLabel = result_item.get_node("Label") as RichTextLabel + var colors: Dictionary = main_view.code_edit.theme_overrides + var highlight: String = "" + if replace_toggle.button_pressed: + var matched_word: String = "[bgcolor=" + colors.critical_color.to_html() + "][color=" + colors.text_color.to_html() + "]" + path_result.matched_text + "[/color][/bgcolor]" + highlight = "[s]" + matched_word + "[/s][bgcolor=" + colors.notice_color.to_html() + "][color=" + colors.text_color.to_html() + "]" + replace_input.text + "[/color][/bgcolor]" + else: + highlight = "[bgcolor=" + colors.notice_color.to_html() + "][color=" + colors.text_color.to_html() + "]" + path_result.matched_text + "[/color][/bgcolor]" + var text: String = path_result.text.substr(0, path_result.index) + highlight + path_result.text.substr(path_result.index + path_result.query.length()) + result_label.text = "%s: %s" % [str(path_result.line + 1).lpad(4), text] + result_label.gui_input.connect(func(event): + if event is InputEventMouseButton and (event as InputEventMouseButton).button_index == MOUSE_BUTTON_LEFT and (event as InputEventMouseButton).double_click: + result_selected.emit(path, Vector2(path_result.index, path_result.line), path_result.query.length()) + ) + + results_container.add_child(result_item) + + +func find_in_files() -> Dictionary: + var results: Dictionary = {} + + var q: String = input.text + var cache = Engine.get_meta("DMCache") + var file: FileAccess + for path in cache.get_files(): + var path_results: Array = [] + var lines: PackedStringArray = [] + + if main_view.open_buffers.has(path): + lines = main_view.open_buffers.get(path).text.split("\n") + else: + file = FileAccess.open(path, FileAccess.READ) + lines = file.get_as_text().split("\n") + + for i in range(0, lines.size()): + var index: int = find_in_line(lines[i], q) + while index > -1: + path_results.append({ + line = i, + index = index, + text = lines[i], + matched_text = lines[i].substr(index, q.length()), + query = q + }) + index = find_in_line(lines[i], q, index + q.length()) + + if file != null and file.is_open(): + file.close() + + if path_results.size() > 0: + results[path] = path_results + + return results + + +func get_selection_key(path: String, path_result: Dictionary) -> String: + return "%s-%d-%d" % [path, path_result.line, path_result.index] + + +func find_in_line(line: String, query: String, from_index: int = 0) -> int: + if match_case_button.button_pressed: + return line.find(query, from_index) + else: + return line.findn(query, from_index) + + +func replace_results(only_selected: bool) -> void: + var file: FileAccess + var lines: PackedStringArray = [] + for path in current_results: + if main_view.open_buffers.has(path): + lines = main_view.open_buffers.get(path).text.split("\n") + else: + file = FileAccess.open(path, FileAccess.READ) + lines = file.get_as_text().split("\n") + + # Read the results in reverse because we're going to be modifying them as we go + var path_results: Array = current_results.get(path).duplicate() + path_results.reverse() + for path_result in path_results: + var key: String = get_selection_key(path, path_result) + if not only_selected or (only_selected and selections.has(key)): + lines[path_result.line] = lines[path_result.line].substr(0, path_result.index) + replace_input.text + lines[path_result.line].substr(path_result.index + path_result.matched_text.length()) + + var replaced_text: String = "\n".join(lines) + if file != null and file.is_open(): + file.close() + file = FileAccess.open(path, FileAccess.WRITE) + file.store_string(replaced_text) + file.close() + else: + main_view.open_buffers.get(path).text = replaced_text + if main_view.current_file_path == path: + main_view.code_edit.text = replaced_text + + current_results = find_in_files() + + +#endregion + +#region signals + + +func _on_search_button_pressed() -> void: + selections.clear() + self.current_results = find_in_files() + + +func _on_input_text_submitted(new_text: String) -> void: + _on_search_button_pressed() + + +func _on_replace_toggle_toggled(toggled_on: bool) -> void: + replace_container.visible = toggled_on + if toggled_on: + replace_input.grab_focus() + update_results_view() + + +func _on_replace_input_text_changed(new_text: String) -> void: + update_results_view() + + +func _on_replace_selected_button_pressed() -> void: + replace_results(true) + + +func _on_replace_all_button_pressed() -> void: + replace_results(false) + + +func _on_match_case_button_toggled(toggled_on: bool) -> void: + _on_search_button_pressed() + + +#endregion diff --git a/addons/dialogue_manager/views/find_in_dialogue_view.gd.uid b/addons/dialogue_manager/views/find_in_dialogue_view.gd.uid new file mode 100644 index 0000000..380a491 --- /dev/null +++ b/addons/dialogue_manager/views/find_in_dialogue_view.gd.uid @@ -0,0 +1 @@ +uid://q368fmxxa8sd diff --git a/addons/dialogue_manager/views/find_in_dialogue_view.tscn b/addons/dialogue_manager/views/find_in_dialogue_view.tscn new file mode 100644 index 0000000..302e160 --- /dev/null +++ b/addons/dialogue_manager/views/find_in_dialogue_view.tscn @@ -0,0 +1,139 @@ +[gd_scene load_steps=3 format=3 uid="uid://0n7hwviyyly4"] + +[ext_resource type="Script" uid="uid://q368fmxxa8sd" path="res://addons/dialogue_manager/views/find_in_dialogue_view.gd" id="1_3xicy"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_owohg"] +bg_color = Color(0.266667, 0.278431, 0.352941, 0.243137) +corner_detail = 1 + +[node name="FindInFiles" type="Control"] +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_horizontal = 3 +size_flags_vertical = 3 +script = ExtResource("1_3xicy") + +[node name="VBoxContainer" type="VBoxContainer" parent="."] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="VBoxContainer"] +layout_mode = 2 + +[node name="FindContainer" type="VBoxContainer" parent="VBoxContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="Label" type="Label" parent="VBoxContainer/HBoxContainer/FindContainer"] +layout_mode = 2 +text = "Find:" + +[node name="Input" type="LineEdit" parent="VBoxContainer/HBoxContainer/FindContainer"] +unique_name_in_owner = true +layout_mode = 2 +clear_button_enabled = true + +[node name="FindToolbar" type="HBoxContainer" parent="VBoxContainer/HBoxContainer/FindContainer"] +layout_mode = 2 + +[node name="SearchButton" type="Button" parent="VBoxContainer/HBoxContainer/FindContainer/FindToolbar"] +unique_name_in_owner = true +layout_mode = 2 +text = "Find all..." + +[node name="MatchCaseButton" type="CheckBox" parent="VBoxContainer/HBoxContainer/FindContainer/FindToolbar"] +unique_name_in_owner = true +layout_mode = 2 +text = "Match case" + +[node name="Control" type="Control" parent="VBoxContainer/HBoxContainer/FindContainer/FindToolbar"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="ReplaceToggle" type="CheckButton" parent="VBoxContainer/HBoxContainer/FindContainer/FindToolbar"] +unique_name_in_owner = true +layout_mode = 2 +text = "Replace" + +[node name="ReplaceContainer" type="VBoxContainer" parent="VBoxContainer/HBoxContainer"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="ReplaceLabel" type="Label" parent="VBoxContainer/HBoxContainer/ReplaceContainer"] +layout_mode = 2 +text = "Replace with:" + +[node name="ReplaceInput" type="LineEdit" parent="VBoxContainer/HBoxContainer/ReplaceContainer"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_horizontal = 3 +clear_button_enabled = true + +[node name="ReplaceToolbar" type="HBoxContainer" parent="VBoxContainer/HBoxContainer/ReplaceContainer"] +layout_mode = 2 + +[node name="ReplaceSelectedButton" type="Button" parent="VBoxContainer/HBoxContainer/ReplaceContainer/ReplaceToolbar"] +unique_name_in_owner = true +layout_mode = 2 +text = "Replace selected" + +[node name="ReplaceAllButton" type="Button" parent="VBoxContainer/HBoxContainer/ReplaceContainer/ReplaceToolbar"] +unique_name_in_owner = true +layout_mode = 2 +text = "Replace all" + +[node name="VBoxContainer" type="VBoxContainer" parent="VBoxContainer"] +layout_mode = 2 + +[node name="ReplaceToolbar" type="HBoxContainer" parent="VBoxContainer/VBoxContainer"] +layout_mode = 2 + +[node name="ScrollContainer" type="ScrollContainer" parent="VBoxContainer"] +layout_mode = 2 +size_flags_vertical = 3 +follow_focus = true + +[node name="ResultsContainer" type="VBoxContainer" parent="VBoxContainer/ScrollContainer"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_vertical = 3 +theme_override_constants/separation = 0 + +[node name="ResultTemplate" type="HBoxContainer" parent="."] +unique_name_in_owner = true +layout_mode = 0 +offset_left = 155.0 +offset_top = -74.0 +offset_right = 838.0 +offset_bottom = -51.0 + +[node name="CheckBox" type="CheckBox" parent="ResultTemplate"] +layout_mode = 2 + +[node name="Label" type="RichTextLabel" parent="ResultTemplate"] +layout_mode = 2 +size_flags_horizontal = 3 +focus_mode = 2 +theme_override_styles/focus = SubResource("StyleBoxFlat_owohg") +bbcode_enabled = true +text = "Result" +fit_content = true +scroll_active = false + +[connection signal="text_submitted" from="VBoxContainer/HBoxContainer/FindContainer/Input" to="." method="_on_input_text_submitted"] +[connection signal="pressed" from="VBoxContainer/HBoxContainer/FindContainer/FindToolbar/SearchButton" to="." method="_on_search_button_pressed"] +[connection signal="toggled" from="VBoxContainer/HBoxContainer/FindContainer/FindToolbar/MatchCaseButton" to="." method="_on_match_case_button_toggled"] +[connection signal="toggled" from="VBoxContainer/HBoxContainer/FindContainer/FindToolbar/ReplaceToggle" to="." method="_on_replace_toggle_toggled"] +[connection signal="text_changed" from="VBoxContainer/HBoxContainer/ReplaceContainer/ReplaceInput" to="." method="_on_replace_input_text_changed"] +[connection signal="pressed" from="VBoxContainer/HBoxContainer/ReplaceContainer/ReplaceToolbar/ReplaceSelectedButton" to="." method="_on_replace_selected_button_pressed"] +[connection signal="pressed" from="VBoxContainer/HBoxContainer/ReplaceContainer/ReplaceToolbar/ReplaceAllButton" to="." method="_on_replace_all_button_pressed"] diff --git a/addons/dialogue_manager/views/main_view.gd b/addons/dialogue_manager/views/main_view.gd new file mode 100644 index 0000000..a5b9de7 --- /dev/null +++ b/addons/dialogue_manager/views/main_view.gd @@ -0,0 +1,947 @@ +@tool +extends Control + + +const OPEN_OPEN = 100 +const OPEN_QUICK = 101 +const OPEN_CLEAR = 102 + +const TRANSLATIONS_GENERATE_LINE_IDS = 100 +const TRANSLATIONS_SAVE_CHARACTERS_TO_CSV = 201 +const TRANSLATIONS_SAVE_TO_CSV = 202 +const TRANSLATIONS_IMPORT_FROM_CSV = 203 + +const ITEM_SAVE = 100 +const ITEM_SAVE_AS = 101 +const ITEM_CLOSE = 102 +const ITEM_CLOSE_ALL = 103 +const ITEM_CLOSE_OTHERS = 104 +const ITEM_COPY_PATH = 200 +const ITEM_SHOW_IN_FILESYSTEM = 201 + +enum TranslationSource { + CharacterNames, + Lines +} + + +signal confirmation_closed() + + +@onready var parse_timer: Timer = $ParseTimer + +# Banner +@onready var banner: CenterContainer = %Banner +@onready var banner_new_button: Button = %BannerNewButton +@onready var banner_quick_open: Button = %BannerQuickOpen +@onready var banner_examples: Button = %BannerExamples + +# Dialogs +@onready var new_dialog: FileDialog = $NewDialog +@onready var save_dialog: FileDialog = $SaveDialog +@onready var open_dialog: FileDialog = $OpenDialog +@onready var quick_open_dialog: ConfirmationDialog = $QuickOpenDialog +@onready var quick_open_files_list: VBoxContainer = $QuickOpenDialog/QuickOpenFilesList +@onready var export_dialog: FileDialog = $ExportDialog +@onready var import_dialog: FileDialog = $ImportDialog +@onready var errors_dialog: AcceptDialog = $ErrorsDialog +@onready var build_error_dialog: AcceptDialog = $BuildErrorDialog +@onready var close_confirmation_dialog: ConfirmationDialog = $CloseConfirmationDialog +@onready var updated_dialog: AcceptDialog = $UpdatedDialog + +# Toolbar +@onready var new_button: Button = %NewButton +@onready var open_button: MenuButton = %OpenButton +@onready var save_all_button: Button = %SaveAllButton +@onready var find_in_files_button: Button = %FindInFilesButton +@onready var test_button: Button = %TestButton +@onready var test_line_button: Button = %TestLineButton +@onready var search_button: Button = %SearchButton +@onready var insert_button: MenuButton = %InsertButton +@onready var translations_button: MenuButton = %TranslationsButton +@onready var support_button: Button = %SupportButton +@onready var docs_button: Button = %DocsButton +@onready var version_label: Label = %VersionLabel +@onready var update_button: Button = %UpdateButton + +@onready var search_and_replace := %SearchAndReplace + +# Code editor +@onready var content: HSplitContainer = %Content +@onready var files_list := %FilesList +@onready var files_popup_menu: PopupMenu = %FilesPopupMenu +@onready var title_list := %TitleList +@onready var code_edit: DMCodeEdit = %CodeEdit +@onready var errors_panel := %ErrorsPanel + +# The currently open file +var current_file_path: String = "": + set(next_current_file_path): + current_file_path = next_current_file_path + files_list.current_file_path = current_file_path + if current_file_path == "" or not open_buffers.has(current_file_path): + save_all_button.disabled = true + test_button.disabled = true + test_line_button.disabled = true + search_button.disabled = true + insert_button.disabled = true + translations_button.disabled = true + content.dragger_visibility = SplitContainer.DRAGGER_HIDDEN + files_list.hide() + title_list.hide() + code_edit.hide() + errors_panel.hide() + search_and_replace.hide() + banner.show() + else: + test_button.disabled = false + test_line_button.disabled = false + search_button.disabled = false + insert_button.disabled = false + translations_button.disabled = false + content.dragger_visibility = SplitContainer.DRAGGER_VISIBLE + files_list.show() + title_list.show() + code_edit.show() + banner.hide() + + var cursor: Vector2 = DMSettings.get_caret(current_file_path) + var scroll_vertical: int = DMSettings.get_scroll(current_file_path) + + code_edit.text = open_buffers[current_file_path].text + code_edit.errors = [] + code_edit.clear_undo_history() + code_edit.set_cursor(cursor) + code_edit.scroll_vertical = scroll_vertical + code_edit.grab_focus() + + _on_code_edit_text_changed() + + errors_panel.errors = [] + code_edit.errors = [] + + if search_and_replace.visible: + search_and_replace.search() + get: + return current_file_path + +# A reference to the currently open files and their last saved text +var open_buffers: Dictionary = {} + +# Which thing are we exporting translations for? +var translation_source: TranslationSource = TranslationSource.Lines + +var plugin: EditorPlugin + + +func _ready() -> void: + plugin = Engine.get_meta("DialogueManagerPlugin") + + apply_theme() + + # Start with nothing open + self.current_file_path = "" + + # Set up the update checker + version_label.text = "v%s" % plugin.get_version() + update_button.on_before_refresh = func on_before_refresh(): + # Save everything + DMSettings.set_user_value("just_refreshed", { + current_file_path = current_file_path, + open_buffers = open_buffers + }) + return true + + # Did we just load from an addon version refresh? + var just_refreshed = DMSettings.get_user_value("just_refreshed", null) + if just_refreshed != null: + DMSettings.set_user_value("just_refreshed", null) + call_deferred("load_from_version_refresh", just_refreshed) + + # Hook up the search toolbar + search_and_replace.code_edit = code_edit + + # Connect menu buttons + insert_button.get_popup().id_pressed.connect(_on_insert_button_menu_id_pressed) + translations_button.get_popup().id_pressed.connect(_on_translations_button_menu_id_pressed) + + code_edit.main_view = self + var editor_settings: EditorSettings = EditorInterface.get_editor_settings() + editor_settings.settings_changed.connect(_on_editor_settings_changed) + _on_editor_settings_changed() + + ProjectSettings.settings_changed.connect(_on_project_settings_changed) + _on_project_settings_changed() + + # Reopen any files that were open when Godot was closed + if editor_settings.get_setting("text_editor/behavior/files/restore_scripts_on_load"): + var reopen_files: Array = DMSettings.get_user_value("reopen_files", []) + for reopen_file in reopen_files: + open_file(reopen_file) + + self.current_file_path = DMSettings.get_user_value("most_recent_reopen_file", "") + + save_all_button.disabled = true + + close_confirmation_dialog.ok_button_text = DMConstants.translate(&"confirm_close.save") + close_confirmation_dialog.add_button(DMConstants.translate(&"confirm_close.discard"), true, "discard") + + errors_dialog.dialog_text = DMConstants.translate(&"errors_in_script") + + # Update the buffer if a file was modified externally (retains undo step) + Engine.get_meta("DMCache").file_content_changed.connect(_on_cache_file_content_changed) + + EditorInterface.get_file_system_dock().files_moved.connect(_on_files_moved) + + code_edit.get_v_scroll_bar().value_changed.connect(_on_code_edit_scroll_changed) + + +func _exit_tree() -> void: + DMSettings.set_user_value("reopen_files", open_buffers.keys()) + DMSettings.set_user_value("most_recent_reopen_file", self.current_file_path) + + +func _unhandled_input(event: InputEvent) -> void: + if not visible: return + + if event is InputEventKey and event.is_pressed(): + var shortcut: String = plugin.get_editor_shortcut(event) + match shortcut: + "close_file": + get_viewport().set_input_as_handled() + close_file(current_file_path) + "save": + get_viewport().set_input_as_handled() + save_file(current_file_path) + "find_in_files": + get_viewport().set_input_as_handled() + _on_find_in_files_button_pressed() + "run_test_scene": + get_viewport().set_input_as_handled() + _on_test_button_pressed() + + +func apply_changes() -> void: + save_files() + + +# Load back to the previous buffer regardless of if it was actually saved +func load_from_version_refresh(just_refreshed: Dictionary) -> void: + if just_refreshed.has("current_file_content"): + # We just loaded from a version before multiple buffers + var file: FileAccess = FileAccess.open(just_refreshed.current_file_path, FileAccess.READ) + var file_text: String = file.get_as_text() + open_buffers[just_refreshed.current_file_path] = { + pristine_text = file_text, + text = just_refreshed.current_file_content + } + else: + open_buffers = just_refreshed.open_buffers + + if just_refreshed.current_file_path != "": + EditorInterface.edit_resource(load(just_refreshed.current_file_path)) + else: + EditorInterface.set_main_screen_editor("Dialogue") + + updated_dialog.dialog_text = DMConstants.translate(&"update.success").format({ version = update_button.get_version() }) + updated_dialog.popup_centered() + + +func new_file(path: String, content: String = "") -> void: + if open_buffers.has(path): + remove_file_from_open_buffers(path) + + var file: FileAccess = FileAccess.open(path, FileAccess.WRITE) + if content == "": + file.store_string(DMSettings.get_setting(DMSettings.NEW_FILE_TEMPLATE, "")) + else: + file.store_string(content) + + EditorInterface.get_resource_filesystem().scan() + + +# Open a dialogue resource for editing +func open_resource(resource: DialogueResource) -> void: + open_file(resource.resource_path) + + +func open_file(path: String) -> void: + if not FileAccess.file_exists(path): return + + if not open_buffers.has(path): + var file: FileAccess = FileAccess.open(path, FileAccess.READ) + var text = file.get_as_text() + + open_buffers[path] = { + cursor = Vector2.ZERO, + text = text, + pristine_text = text + } + + DMSettings.add_recent_file(path) + build_open_menu() + + files_list.files = open_buffers.keys() + files_list.select_file(path) + + self.current_file_path = path + + +func quick_open() -> void: + quick_open_files_list.files = Engine.get_meta("DMCache").get_files() + quick_open_dialog.popup_centered() + quick_open_files_list.focus_filter() + + +func show_file_in_filesystem(path: String) -> void: + EditorInterface.get_file_system_dock().navigate_to_path(path) + + +# Save any open files +func save_files() -> void: + save_all_button.disabled = true + + var saved_files: PackedStringArray = [] + for path in open_buffers: + if open_buffers[path].text != open_buffers[path].pristine_text: + saved_files.append(path) + save_file(path, false) + + if saved_files.size() > 0: + Engine.get_meta("DMCache").mark_files_for_reimport(saved_files) + + +# Save a file +func save_file(path: String, rescan_file_system: bool = true) -> void: + var buffer = open_buffers[path] + + files_list.mark_file_as_unsaved(path, false) + save_all_button.disabled = files_list.unsaved_files.size() == 0 + + # Don't bother saving if there is nothing to save + if buffer.text == buffer.pristine_text: + return + + buffer.pristine_text = buffer.text + + # Save the current text + var file: FileAccess = FileAccess.open(path, FileAccess.WRITE) + file.store_string(buffer.text) + file.close() + + if rescan_file_system: + EditorInterface.get_resource_filesystem().scan() + + +func close_file(path: String) -> void: + if not path in open_buffers.keys(): return + + var buffer = open_buffers[path] + + if buffer.text == buffer.pristine_text: + remove_file_from_open_buffers(path) + await get_tree().process_frame + else: + close_confirmation_dialog.dialog_text = DMConstants.translate(&"confirm_close").format({ path = path.get_file() }) + close_confirmation_dialog.popup_centered() + await confirmation_closed + + +func remove_file_from_open_buffers(path: String) -> void: + if not path in open_buffers.keys(): return + + var current_index = open_buffers.keys().find(current_file_path) + + open_buffers.erase(path) + if open_buffers.size() == 0: + self.current_file_path = "" + else: + current_index = clamp(current_index, 0, open_buffers.size() - 1) + self.current_file_path = open_buffers.keys()[current_index] + + files_list.files = open_buffers.keys() + + +# Apply theme colors and icons to the UI +func apply_theme() -> void: + if is_instance_valid(plugin) and is_instance_valid(code_edit): + var scale: float = EditorInterface.get_editor_scale() + var editor_settings = EditorInterface.get_editor_settings() + code_edit.theme_overrides = { + scale = scale, + + background_color = editor_settings.get_setting("text_editor/theme/highlighting/background_color"), + current_line_color = editor_settings.get_setting("text_editor/theme/highlighting/current_line_color"), + error_line_color = editor_settings.get_setting("text_editor/theme/highlighting/mark_color"), + + critical_color = editor_settings.get_setting("text_editor/theme/highlighting/comment_markers/critical_color"), + notice_color = editor_settings.get_setting("text_editor/theme/highlighting/comment_markers/notice_color"), + + titles_color = editor_settings.get_setting("text_editor/theme/highlighting/control_flow_keyword_color"), + text_color = editor_settings.get_setting("text_editor/theme/highlighting/text_color"), + conditions_color = editor_settings.get_setting("text_editor/theme/highlighting/keyword_color"), + mutations_color = editor_settings.get_setting("text_editor/theme/highlighting/function_color"), + mutations_line_color = Color(editor_settings.get_setting("text_editor/theme/highlighting/function_color"), 0.6), + members_color = editor_settings.get_setting("text_editor/theme/highlighting/member_variable_color"), + strings_color = editor_settings.get_setting("text_editor/theme/highlighting/string_color"), + numbers_color = editor_settings.get_setting("text_editor/theme/highlighting/number_color"), + symbols_color = editor_settings.get_setting("text_editor/theme/highlighting/symbol_color"), + comments_color = editor_settings.get_setting("text_editor/theme/highlighting/comment_color"), + jumps_color = Color(editor_settings.get_setting("text_editor/theme/highlighting/control_flow_keyword_color"), 0.6), + + font_size = editor_settings.get_setting("interface/editor/code_font_size") + } + + banner_new_button.icon = get_theme_icon("New", "EditorIcons") + banner_quick_open.icon = get_theme_icon("Load", "EditorIcons") + + new_button.icon = get_theme_icon("New", "EditorIcons") + new_button.tooltip_text = DMConstants.translate(&"start_a_new_file") + + open_button.icon = get_theme_icon("Load", "EditorIcons") + open_button.tooltip_text = DMConstants.translate(&"open_a_file") + + save_all_button.icon = get_theme_icon("Save", "EditorIcons") + save_all_button.text = DMConstants.translate(&"all") + save_all_button.tooltip_text = DMConstants.translate(&"start_all_files") + + find_in_files_button.icon = get_theme_icon("ViewportZoom", "EditorIcons") + find_in_files_button.tooltip_text = DMConstants.translate(&"find_in_files") + + test_button.icon = get_theme_icon("DebugNext", "EditorIcons") + test_button.tooltip_text = DMConstants.translate(&"test_dialogue") + + test_line_button.icon = get_theme_icon("DebugStep", "EditorIcons") + test_line_button.tooltip_text = DMConstants.translate(&"test_dialogue_from_line") + + search_button.icon = get_theme_icon("Search", "EditorIcons") + search_button.tooltip_text = DMConstants.translate(&"search_for_text") + + insert_button.icon = get_theme_icon("RichTextEffect", "EditorIcons") + insert_button.text = DMConstants.translate(&"insert") + + translations_button.icon = get_theme_icon("Translation", "EditorIcons") + translations_button.text = DMConstants.translate(&"translations") + + support_button.icon = get_theme_icon("Heart", "EditorIcons") + support_button.text = DMConstants.translate(&"sponsor") + support_button.tooltip_text = DMConstants.translate(&"show_support") + + docs_button.icon = get_theme_icon("Help", "EditorIcons") + docs_button.text = DMConstants.translate(&"docs") + + update_button.apply_theme() + + # Set up the effect menu + var popup: PopupMenu = insert_button.get_popup() + popup.clear() + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.wave_bbcode"), 0) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.shake_bbcode"), 1) + popup.add_separator() + popup.add_icon_item(get_theme_icon("Time", "EditorIcons"), DMConstants.translate(&"insert.typing_pause"), 3) + popup.add_icon_item(get_theme_icon("ViewportSpeed", "EditorIcons"), DMConstants.translate(&"insert.typing_speed_change"), 4) + popup.add_icon_item(get_theme_icon("DebugNext", "EditorIcons"), DMConstants.translate(&"insert.auto_advance"), 5) + popup.add_separator(DMConstants.translate(&"insert.templates")) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.title"), 6) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.dialogue"), 7) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.response"), 8) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.random_lines"), 9) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.random_text"), 10) + popup.add_separator(DMConstants.translate(&"insert.actions")) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.jump"), 11) + popup.add_icon_item(get_theme_icon("RichTextEffect", "EditorIcons"), DMConstants.translate(&"insert.end_dialogue"), 12) + + # Set up the translations menu + popup = translations_button.get_popup() + popup.clear() + popup.add_icon_item(get_theme_icon("Translation", "EditorIcons"), DMConstants.translate(&"generate_line_ids"), TRANSLATIONS_GENERATE_LINE_IDS) + popup.add_separator() + popup.add_icon_item(get_theme_icon("FileList", "EditorIcons"), DMConstants.translate(&"save_characters_to_csv"), TRANSLATIONS_SAVE_CHARACTERS_TO_CSV) + popup.add_icon_item(get_theme_icon("FileList", "EditorIcons"), DMConstants.translate(&"save_to_csv"), TRANSLATIONS_SAVE_TO_CSV) + popup.add_icon_item(get_theme_icon("AssetLib", "EditorIcons"), DMConstants.translate(&"import_from_csv"), TRANSLATIONS_IMPORT_FROM_CSV) + + # Dialog sizes + new_dialog.min_size = Vector2(600, 500) * scale + save_dialog.min_size = Vector2(600, 500) * scale + open_dialog.min_size = Vector2(600, 500) * scale + quick_open_dialog.min_size = Vector2(400, 600) * scale + export_dialog.min_size = Vector2(600, 500) * scale + import_dialog.min_size = Vector2(600, 500) * scale + + +### Helpers + + +# Refresh the open menu with the latest files +func build_open_menu() -> void: + var menu = open_button.get_popup() + menu.clear() + menu.add_icon_item(get_theme_icon("Load", "EditorIcons"), DMConstants.translate(&"open.open"), OPEN_OPEN) + menu.add_icon_item(get_theme_icon("Load", "EditorIcons"), DMConstants.translate(&"open.quick_open"), OPEN_QUICK) + menu.add_separator() + + var recent_files = DMSettings.get_recent_files() + if recent_files.size() == 0: + menu.add_item(DMConstants.translate(&"open.no_recent_files")) + menu.set_item_disabled(2, true) + else: + for path in recent_files: + if FileAccess.file_exists(path): + menu.add_icon_item(get_theme_icon("File", "EditorIcons"), path) + + menu.add_separator() + menu.add_item(DMConstants.translate(&"open.clear_recent_files"), OPEN_CLEAR) + if menu.id_pressed.is_connected(_on_open_menu_id_pressed): + menu.id_pressed.disconnect(_on_open_menu_id_pressed) + menu.id_pressed.connect(_on_open_menu_id_pressed) + + +# Get the last place a CSV, etc was exported +func get_last_export_path(extension: String) -> String: + var filename = current_file_path.get_file().replace(".dialogue", "." + extension) + return DMSettings.get_user_value("last_export_path", current_file_path.get_base_dir()) + "/" + filename + + +# Check the current text for errors +func compile() -> void: + # Skip if nothing to parse + if current_file_path == "": return + + var result: DMCompilerResult = DMCompiler.compile_string(code_edit.text, current_file_path) + code_edit.errors = result.errors + errors_panel.errors = result.errors + title_list.titles = code_edit.get_titles() + + +func show_build_error_dialog() -> void: + build_error_dialog.dialog_text = DMConstants.translate(&"errors_with_build") + build_error_dialog.popup_centered() + + +# Generate translation line IDs for any line that doesn't already have one +func generate_translations_keys() -> void: + var cursor: Vector2 = code_edit.get_cursor() + var scroll_vertical = code_edit.scroll_vertical + code_edit.text = DMTranslationUtilities.generate_translation_keys(code_edit.text) + code_edit.set_cursor(cursor) + code_edit.scroll_vertical = scroll_vertical + _on_code_edit_text_changed() + + +# Add a translation file to the project settings +func add_path_to_project_translations(path: String) -> void: + var translations: PackedStringArray = ProjectSettings.get_setting("internationalization/locale/translations") + if not path in translations: + translations.append(path) + ProjectSettings.save() + + +# Export dialogue and responses to CSV +func export_translations_to_csv(path: String) -> void: + DMTranslationUtilities.export_translations_to_csv(path, code_edit.text, current_file_path) + + EditorInterface.get_resource_filesystem().scan() + EditorInterface.get_file_system_dock().call_deferred("navigate_to_path", path) + + # Add it to the project l10n settings if it's not already there + var default_locale: String = DMSettings.get_setting(DMSettings.DEFAULT_CSV_LOCALE, "en") + var language_code: RegExMatch = RegEx.create_from_string("^[a-z]{2,3}").search(default_locale) + var translation_path: String = path.replace(".csv", ".%s.translation" % language_code.get_string()) + call_deferred("add_path_to_project_translations", translation_path) + + +func export_character_names_to_csv(path: String) -> void: + DMTranslationUtilities.export_character_names_to_csv(path, code_edit.text, current_file_path) + + EditorInterface.get_resource_filesystem().scan() + EditorInterface.get_file_system_dock().call_deferred("navigate_to_path", path) + + # Add it to the project l10n settings if it's not already there + var translation_path: String = path.replace(".csv", ".en.translation") + call_deferred("add_path_to_project_translations", translation_path) + + +# Import changes back from an exported CSV by matching translation keys +func import_translations_from_csv(path: String) -> void: + var cursor: Vector2 = code_edit.get_cursor() + code_edit.text = DMTranslationUtilities.import_translations_from_csv(path, code_edit.text) + code_edit.set_cursor(cursor) + + +func show_search_form(is_enabled: bool) -> void: + if code_edit.last_selected_text: + search_and_replace.input.text = code_edit.last_selected_text + + search_and_replace.visible = is_enabled + search_button.set_pressed_no_signal(is_enabled) + search_and_replace.focus_line_edit() + + +func run_test_scene(from_key: String) -> void: + DMSettings.set_user_value("run_title", from_key) + DMSettings.set_user_value("is_running_test_scene", true) + DMSettings.set_user_value("run_resource_path", current_file_path) + var test_scene_path: String = DMSettings.get_setting(DMSettings.CUSTOM_TEST_SCENE_PATH, "res://addons/dialogue_manager/test_scene.tscn") + if ResourceUID.has_id(ResourceUID.text_to_id(test_scene_path)): + test_scene_path = ResourceUID.get_id_path(ResourceUID.text_to_id(test_scene_path)) + EditorInterface.play_custom_scene(test_scene_path) + + +### Signals + + +func _on_files_moved(old_file: String, new_file: String) -> void: + if open_buffers.has(old_file): + open_buffers[new_file] = open_buffers[old_file] + open_buffers.erase(old_file) + open_buffers[new_file] + + +func _on_cache_file_content_changed(path: String, new_content: String) -> void: + if open_buffers.has(path): + var buffer = open_buffers[path] + if buffer.text == buffer.pristine_text and buffer.text != new_content: + buffer.text = new_content + code_edit.text = new_content + title_list.titles = code_edit.get_titles() + buffer.pristine_text = new_content + + +func _on_editor_settings_changed() -> void: + var editor_settings: EditorSettings = EditorInterface.get_editor_settings() + code_edit.minimap_draw = editor_settings.get_setting("text_editor/appearance/minimap/show_minimap") + code_edit.minimap_width = editor_settings.get_setting("text_editor/appearance/minimap/minimap_width") + code_edit.scroll_smooth = editor_settings.get_setting("text_editor/behavior/navigation/smooth_scrolling") + + +func _on_project_settings_changed() -> void: + code_edit.wrap_mode = TextEdit.LINE_WRAPPING_BOUNDARY if DMSettings.get_setting(DMSettings.WRAP_LONG_LINES, false) else TextEdit.LINE_WRAPPING_NONE + + +func _on_open_menu_id_pressed(id: int) -> void: + match id: + OPEN_OPEN: + open_dialog.popup_centered() + OPEN_QUICK: + quick_open() + OPEN_CLEAR: + DMSettings.clear_recent_files() + build_open_menu() + _: + var menu = open_button.get_popup() + var item = menu.get_item_text(menu.get_item_index(id)) + open_file(item) + + +func _on_files_list_file_selected(file_path: String) -> void: + self.current_file_path = file_path + + +func _on_insert_button_menu_id_pressed(id: int) -> void: + match id: + 0: + code_edit.insert_bbcode("[wave amp=25 freq=5]", "[/wave]") + 1: + code_edit.insert_bbcode("[shake rate=20 level=10]", "[/shake]") + 3: + code_edit.insert_bbcode("[wait=1]") + 4: + code_edit.insert_bbcode("[speed=0.2]") + 5: + code_edit.insert_bbcode("[next=auto]") + 6: + code_edit.insert_text_at_cursor("~ title") + 7: + code_edit.insert_text_at_cursor("Nathan: This is Some Dialogue") + 8: + code_edit.insert_text_at_cursor("Nathan: Choose a Response...\n- Option 1\n\tNathan: You chose option 1\n- Option 2\n\tNathan: You chose option 2") + 9: + code_edit.insert_text_at_cursor("% Nathan: This is random line 1.\n% Nathan: This is random line 2.\n%1 Nathan: This is weighted random line 3.") + 10: + code_edit.insert_text_at_cursor("Nathan: [[Hi|Hello|Howdy]]") + 11: + code_edit.insert_text_at_cursor("=> title") + 12: + code_edit.insert_text_at_cursor("=> END") + + +func _on_translations_button_menu_id_pressed(id: int) -> void: + match id: + TRANSLATIONS_GENERATE_LINE_IDS: + generate_translations_keys() + + TRANSLATIONS_SAVE_CHARACTERS_TO_CSV: + translation_source = TranslationSource.CharacterNames + export_dialog.filters = PackedStringArray(["*.csv ; Translation CSV"]) + export_dialog.current_path = get_last_export_path("csv") + export_dialog.popup_centered() + + TRANSLATIONS_SAVE_TO_CSV: + translation_source = TranslationSource.Lines + export_dialog.filters = PackedStringArray(["*.csv ; Translation CSV"]) + export_dialog.current_path = get_last_export_path("csv") + export_dialog.popup_centered() + + TRANSLATIONS_IMPORT_FROM_CSV: + import_dialog.current_path = get_last_export_path("csv") + import_dialog.popup_centered() + + +func _on_export_dialog_file_selected(path: String) -> void: + DMSettings.set_user_value("last_export_path", path.get_base_dir()) + match path.get_extension(): + "csv": + match translation_source: + TranslationSource.CharacterNames: + export_character_names_to_csv(path) + TranslationSource.Lines: + export_translations_to_csv(path) + + +func _on_import_dialog_file_selected(path: String) -> void: + DMSettings.set_user_value("last_export_path", path.get_base_dir()) + import_translations_from_csv(path) + + +func _on_main_view_theme_changed(): + apply_theme() + + +func _on_main_view_visibility_changed() -> void: + if visible and is_instance_valid(code_edit): + code_edit.grab_focus() + + +func _on_new_button_pressed() -> void: + new_dialog.current_file = "untitled" + new_dialog.popup_centered() + + +func _on_new_dialog_confirmed() -> void: + var path: String = new_dialog.current_path + if path.get_file() == ".dialogue": + path = "%s/untitled.dialogue" % path.get_basename() + new_file(path) + open_file(path) + + +func _on_new_dialog_file_selected(path: String) -> void: + new_file(path) + open_file(path) + + +func _on_save_dialog_file_selected(path: String) -> void: + if path == "": path = "res://untitled.dialogue" + + new_file(path, code_edit.text) + open_file(path) + + +func _on_open_button_about_to_popup() -> void: + build_open_menu() + + +func _on_open_dialog_file_selected(path: String) -> void: + open_file(path) + + +func _on_quick_open_files_list_file_double_clicked(file_path: String) -> void: + quick_open_dialog.hide() + open_file(file_path) + + +func _on_quick_open_dialog_confirmed() -> void: + if quick_open_files_list.last_selected_file_path: + open_file(quick_open_files_list.last_selected_file_path) + + +func _on_save_all_button_pressed() -> void: + save_files() + + +func _on_find_in_files_button_pressed() -> void: + plugin.show_find_in_dialogue() + + +func _on_code_edit_text_changed() -> void: + var buffer = open_buffers[current_file_path] + buffer.text = code_edit.text + + files_list.mark_file_as_unsaved(current_file_path, buffer.text != buffer.pristine_text) + save_all_button.disabled = open_buffers.values().filter(func(d): return d.text != d.pristine_text).size() == 0 + + parse_timer.start(1) + + +func _on_code_edit_scroll_changed(value: int) -> void: + DMSettings.set_scroll(current_file_path, code_edit.scroll_vertical) + + +func _on_code_edit_active_title_change(title: String) -> void: + title_list.select_title(title) + + +func _on_code_edit_caret_changed() -> void: + DMSettings.set_caret(current_file_path, code_edit.get_cursor()) + + +func _on_code_edit_error_clicked(line_number: int) -> void: + errors_panel.show_error_for_line_number(line_number) + + +func _on_title_list_title_selected(title: String) -> void: + code_edit.go_to_title(title) + code_edit.grab_focus() + + +func _on_parse_timer_timeout() -> void: + parse_timer.stop() + compile() + + +func _on_errors_panel_error_pressed(line_number: int, column_number: int) -> void: + code_edit.set_caret_line(line_number - 1) + code_edit.set_caret_column(column_number) + code_edit.grab_focus() + + +func _on_search_button_toggled(button_pressed: bool) -> void: + show_search_form(button_pressed) + + +func _on_search_and_replace_open_requested() -> void: + show_search_form(true) + + +func _on_search_and_replace_close_requested() -> void: + search_button.set_pressed_no_signal(false) + search_and_replace.visible = false + code_edit.grab_focus() + + +func _on_test_button_pressed() -> void: + save_file(current_file_path, false) + Engine.get_meta("DMCache").reimport_files([current_file_path]) + + if errors_panel.errors.size() > 0: + errors_dialog.popup_centered() + return + + run_test_scene("") + + +func _on_test_line_button_pressed() -> void: + save_file(current_file_path) + + if errors_panel.errors.size() > 0: + errors_dialog.popup_centered() + return + + # Find next non-empty line + var line_to_run: int = 0 + for i in range(code_edit.get_cursor().y, code_edit.get_line_count()): + if not code_edit.get_line(i).is_empty(): + line_to_run = i + break + + run_test_scene(str(line_to_run)) + + +func _on_support_button_pressed() -> void: + OS.shell_open("https://patreon.com/nathanhoad") + + +func _on_docs_button_pressed() -> void: + OS.shell_open("https://github.com/nathanhoad/godot_dialogue_manager") + + +func _on_files_list_file_popup_menu_requested(at_position: Vector2) -> void: + files_popup_menu.position = Vector2(get_viewport().position) + files_list.global_position + at_position + files_popup_menu.popup() + + +func _on_files_list_file_middle_clicked(path: String): + close_file(path) + + +func _on_files_popup_menu_about_to_popup() -> void: + files_popup_menu.clear() + + var shortcuts: Dictionary = plugin.get_editor_shortcuts() + + files_popup_menu.add_item(DMConstants.translate(&"buffer.save"), ITEM_SAVE, OS.find_keycode_from_string(shortcuts.get("save")[0].as_text_keycode())) + files_popup_menu.add_item(DMConstants.translate(&"buffer.save_as"), ITEM_SAVE_AS) + files_popup_menu.add_item(DMConstants.translate(&"buffer.close"), ITEM_CLOSE, OS.find_keycode_from_string(shortcuts.get("close_file")[0].as_text_keycode())) + files_popup_menu.add_item(DMConstants.translate(&"buffer.close_all"), ITEM_CLOSE_ALL) + files_popup_menu.add_item(DMConstants.translate(&"buffer.close_other_files"), ITEM_CLOSE_OTHERS) + files_popup_menu.add_separator() + files_popup_menu.add_item(DMConstants.translate(&"buffer.copy_file_path"), ITEM_COPY_PATH) + files_popup_menu.add_item(DMConstants.translate(&"buffer.show_in_filesystem"), ITEM_SHOW_IN_FILESYSTEM) + + +func _on_files_popup_menu_id_pressed(id: int) -> void: + match id: + ITEM_SAVE: + save_file(current_file_path) + ITEM_SAVE_AS: + save_dialog.popup_centered() + ITEM_CLOSE: + close_file(current_file_path) + ITEM_CLOSE_ALL: + for path in open_buffers.keys(): + close_file(path) + ITEM_CLOSE_OTHERS: + var current_current_file_path: String = current_file_path + for path in open_buffers.keys(): + if path != current_current_file_path: + await close_file(path) + + ITEM_COPY_PATH: + DisplayServer.clipboard_set(current_file_path) + ITEM_SHOW_IN_FILESYSTEM: + show_file_in_filesystem(current_file_path) + + +func _on_code_edit_external_file_requested(path: String, title: String) -> void: + open_file(path) + if title != "": + code_edit.go_to_title(title) + else: + code_edit.set_caret_line(0) + + +func _on_close_confirmation_dialog_confirmed() -> void: + save_file(current_file_path) + remove_file_from_open_buffers(current_file_path) + confirmation_closed.emit() + + +func _on_close_confirmation_dialog_custom_action(action: StringName) -> void: + if action == "discard": + remove_file_from_open_buffers(current_file_path) + close_confirmation_dialog.hide() + confirmation_closed.emit() + + +func _on_find_in_files_result_selected(path: String, cursor: Vector2, length: int) -> void: + open_file(path) + code_edit.select(cursor.y, cursor.x, cursor.y, cursor.x + length) + code_edit.set_line_as_center_visible(cursor.y) + + +func _on_banner_image_gui_input(event: InputEvent) -> void: + if event.is_pressed(): + OS.shell_open("https://bravestcoconut.com/wishlist") + + +func _on_banner_new_button_pressed() -> void: + new_dialog.current_file = "untitled" + new_dialog.popup_centered() + + +func _on_banner_quick_open_pressed() -> void: + quick_open() + + +func _on_banner_examples_pressed() -> void: + OS.shell_open("https://itch.io/c/5226650/godot-dialogue-manager-example-projects") diff --git a/addons/dialogue_manager/views/main_view.gd.uid b/addons/dialogue_manager/views/main_view.gd.uid new file mode 100644 index 0000000..10e66f4 --- /dev/null +++ b/addons/dialogue_manager/views/main_view.gd.uid @@ -0,0 +1 @@ +uid://cipjcc7bkh1pc diff --git a/addons/dialogue_manager/views/main_view.tscn b/addons/dialogue_manager/views/main_view.tscn new file mode 100644 index 0000000..0a1c67a --- /dev/null +++ b/addons/dialogue_manager/views/main_view.tscn @@ -0,0 +1,463 @@ +[gd_scene load_steps=15 format=3 uid="uid://cbuf1q3xsse3q"] + +[ext_resource type="Script" uid="uid://cipjcc7bkh1pc" 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ExtResource("7_necsa") + +[node name="MainView" type="Control"] +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_horizontal = 3 +size_flags_vertical = 3 +script = ExtResource("1_h6qfq") + +[node name="ParseTimer" type="Timer" parent="."] + +[node name="Margin" type="MarginContainer" parent="."] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_vertical = 3 +theme_override_constants/margin_left = 5 +theme_override_constants/margin_right = 5 +theme_override_constants/margin_bottom = 5 +metadata/_edit_layout_mode = 1 + +[node name="Content" type="HSplitContainer" parent="Margin"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 3 +dragger_visibility = 1 + +[node name="SidePanel" type="VBoxContainer" parent="Margin/Content"] +custom_minimum_size = Vector2(150, 0) +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="Toolbar" type="HBoxContainer" parent="Margin/Content/SidePanel"] +layout_mode = 2 + +[node name="NewButton" type="Button" parent="Margin/Content/SidePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +tooltip_text = "Start a new file" +flat = true + +[node name="OpenButton" type="MenuButton" parent="Margin/Content/SidePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +tooltip_text = "Open a file" +item_count = 9 +popup/item_0/text = "Open..." +popup/item_0/icon = SubResource("ImageTexture_ka3gk") +popup/item_0/id = 100 +popup/item_1/icon = SubResource("ImageTexture_ka3gk") +popup/item_1/id = 101 +popup/item_2/id = -1 +popup/item_2/separator = true +popup/item_3/text = "res://examples/dialogue.dialogue" +popup/item_3/icon = SubResource("ImageTexture_ka3gk") +popup/item_3/id = 3 +popup/item_4/text = "res://examples/dialogue_with_input.dialogue" +popup/item_4/icon = SubResource("ImageTexture_ka3gk") +popup/item_4/id = 4 +popup/item_5/text = "res://examples/dialogue_for_point_n_click.dialogue" +popup/item_5/icon = SubResource("ImageTexture_ka3gk") +popup/item_5/id = 5 +popup/item_6/text = "res://examples/dialogue_for_visual_novel.dialogue" +popup/item_6/icon = SubResource("ImageTexture_ka3gk") +popup/item_6/id = 6 +popup/item_7/id = -1 +popup/item_7/separator = true +popup/item_8/text = "Clear recent files" +popup/item_8/id = 102 + +[node name="SaveAllButton" type="Button" parent="Margin/Content/SidePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +disabled = true +flat = true + +[node name="FindInFilesButton" type="Button" parent="Margin/Content/SidePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +tooltip_text = "Find in files..." +flat = true + +[node name="Bookmarks" type="VSplitContainer" parent="Margin/Content/SidePanel"] +layout_mode = 2 +size_flags_vertical = 3 + +[node name="FilesList" parent="Margin/Content/SidePanel/Bookmarks" instance=ExtResource("2_npj2k")] +unique_name_in_owner = true +visible = false +layout_mode = 2 + +[node name="FilesPopupMenu" type="PopupMenu" parent="Margin/Content/SidePanel/Bookmarks/FilesList"] +unique_name_in_owner = true + +[node name="TitleList" parent="Margin/Content/SidePanel/Bookmarks" instance=ExtResource("2_onb4i")] +unique_name_in_owner = true +visible = false +layout_mode = 2 + +[node name="CodePanel" type="VBoxContainer" parent="Margin/Content"] +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_stretch_ratio = 4.0 + +[node name="Toolbar" type="HBoxContainer" parent="Margin/Content/CodePanel"] +layout_mode = 2 + +[node name="InsertButton" type="MenuButton" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +disabled = true +text = "Insert" +item_count = 15 +popup/item_0/text = "Wave BBCode" +popup/item_0/icon = SubResource("ImageTexture_57eek") +popup/item_0/id = 0 +popup/item_1/text = "Shake BBCode" +popup/item_1/icon = SubResource("ImageTexture_57eek") +popup/item_1/id = 1 +popup/item_2/id = -1 +popup/item_2/separator = true +popup/item_3/text = "Typing pause" +popup/item_3/icon = SubResource("ImageTexture_57eek") +popup/item_3/id = 3 +popup/item_4/text = "Typing speed change" +popup/item_4/icon = SubResource("ImageTexture_57eek") +popup/item_4/id = 4 +popup/item_5/text = "Auto advance" +popup/item_5/icon = SubResource("ImageTexture_57eek") +popup/item_5/id = 5 +popup/item_6/text = "Templates" +popup/item_6/id = -1 +popup/item_6/separator = true +popup/item_7/text = "Title" +popup/item_7/icon = SubResource("ImageTexture_57eek") +popup/item_7/id = 6 +popup/item_8/text = "Dialogue" +popup/item_8/icon = SubResource("ImageTexture_57eek") +popup/item_8/id = 7 +popup/item_9/text = "Response" +popup/item_9/icon = SubResource("ImageTexture_57eek") +popup/item_9/id = 8 +popup/item_10/text = "Random lines" +popup/item_10/icon = SubResource("ImageTexture_57eek") +popup/item_10/id = 9 +popup/item_11/text = "Random text" +popup/item_11/icon = SubResource("ImageTexture_57eek") +popup/item_11/id = 10 +popup/item_12/text = "Actions" +popup/item_12/id = -1 +popup/item_12/separator = true +popup/item_13/text = "Jump to title" +popup/item_13/icon = SubResource("ImageTexture_57eek") +popup/item_13/id = 11 +popup/item_14/text = "End dialogue" +popup/item_14/icon = SubResource("ImageTexture_57eek") +popup/item_14/id = 12 + +[node name="TranslationsButton" type="MenuButton" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +disabled = true +text = "Translations" +item_count = 5 +popup/item_0/text = "Generate line IDs" +popup/item_0/icon = SubResource("ImageTexture_57eek") +popup/item_0/id = 100 +popup/item_1/id = -1 +popup/item_1/separator = true +popup/item_2/text = "Save character names to CSV..." +popup/item_2/icon = SubResource("ImageTexture_57eek") +popup/item_2/id = 201 +popup/item_3/text = "Save lines to CSV..." +popup/item_3/icon = SubResource("ImageTexture_57eek") +popup/item_3/id = 202 +popup/item_4/text = "Import line changes from CSV..." +popup/item_4/icon = SubResource("ImageTexture_57eek") +popup/item_4/id = 203 + +[node name="Separator" type="VSeparator" parent="Margin/Content/CodePanel/Toolbar"] +layout_mode = 2 + +[node name="SearchButton" type="Button" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +tooltip_text = "Search for text" +disabled = true +toggle_mode = true +flat = true + +[node name="Separator2" type="VSeparator" parent="Margin/Content/CodePanel/Toolbar"] +layout_mode = 2 + +[node name="TestButton" type="Button" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +tooltip_text = "Test dialogue" +disabled = true +flat = true + +[node name="TestLineButton" type="Button" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +tooltip_text = "Test dialogue" +disabled = true +flat = true + +[node name="Spacer2" type="Control" parent="Margin/Content/CodePanel/Toolbar"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="SupportButton" type="Button" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +tooltip_text = "Support Dialogue Manager" +text = "Sponsor" +flat = true + +[node name="Separator4" type="VSeparator" parent="Margin/Content/CodePanel/Toolbar"] +layout_mode = 2 + +[node name="DocsButton" type="Button" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +layout_mode = 2 +text = "Docs" +flat = true + +[node name="VersionLabel" type="Label" parent="Margin/Content/CodePanel/Toolbar"] +unique_name_in_owner = true +modulate = Color(1, 1, 1, 0.490196) +layout_mode = 2 +text = "v2.42.2" +vertical_alignment = 1 + +[node name="UpdateButton" parent="Margin/Content/CodePanel/Toolbar" instance=ExtResource("2_ph3vs")] +unique_name_in_owner = true +layout_mode = 2 +text = "v2.44.1 available" + +[node name="SearchAndReplace" parent="Margin/Content/CodePanel" instance=ExtResource("6_ylh0t")] +unique_name_in_owner = true +layout_mode = 2 + +[node name="CodeEdit" parent="Margin/Content/CodePanel" instance=ExtResource("2_f73fm")] +unique_name_in_owner = true +visible = false +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_vertical = 3 +theme_override_colors/font_color = Color(0.972549, 0.972549, 0.94902, 1) +theme_override_colors/background_color = Color(0.156863, 0.164706, 0.211765, 1) +theme_override_colors/current_line_color = Color(0.266667, 0.278431, 0.352941, 0.243137) +theme_override_font_sizes/font_size = 14 +theme_override_colors/bookmark_color = Color(1, 0.333333, 0.333333, 1) +text = "~ start + +Nathan: Hi, I'm Nathan and this is Coco. +Coco: Meow. +Nathan: Here are some response options. +- First one + Nathan: You picked the first one. +- Second one + Nathan: You picked the second one. +- Start again => start +- End the conversation => END +Nathan: I hope this example is helpful. +Coco: Meow. + +=> END" +scroll_smooth = true +syntax_highlighter = SubResource("SyntaxHighlighter_mpdoc") + +[node name="ErrorsPanel" parent="Margin/Content/CodePanel" instance=ExtResource("7_5cvl4")] +unique_name_in_owner = true +layout_mode = 2 + +[node name="Banner" type="CenterContainer" parent="."] +unique_name_in_owner = true +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_top = 34.0 +grow_horizontal = 2 +grow_vertical = 2 +mouse_filter = 2 + +[node name="PanelContainer" type="VBoxContainer" parent="Banner"] +layout_mode = 2 +theme_override_constants/separation = 5 + +[node name="BannerImage" type="TextureRect" parent="Banner/PanelContainer"] +custom_minimum_size = Vector2(600, 200) +layout_mode = 2 +mouse_filter = 0 +mouse_default_cursor_shape = 2 +texture = ExtResource("9_y6rqu") +expand_mode = 3 + +[node name="HBoxContainer" type="HBoxContainer" parent="Banner/PanelContainer"] +layout_mode = 2 +theme_override_constants/separation = 5 + +[node name="BannerNewButton" type="Button" parent="Banner/PanelContainer/HBoxContainer"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_horizontal = 3 +text = "New Dialogue..." + +[node name="BannerQuickOpen" type="Button" parent="Banner/PanelContainer/HBoxContainer"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_horizontal = 3 +text = "Quick open..." + +[node name="BannerExamples" type="Button" parent="Banner/PanelContainer/HBoxContainer"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_horizontal = 3 +text = "Example projects..." + +[node name="NewDialog" type="FileDialog" parent="."] +size = Vector2i(900, 750) +min_size = Vector2i(600, 500) +dialog_hide_on_ok = true +filters = PackedStringArray("*.dialogue ; Dialogue") + +[node name="SaveDialog" type="FileDialog" parent="."] +size = Vector2i(900, 750) +min_size = Vector2i(600, 500) +dialog_hide_on_ok = true +filters = PackedStringArray("*.dialogue ; Dialogue") + +[node name="OpenDialog" type="FileDialog" parent="."] +title = "Open a File" +size = Vector2i(900, 750) +min_size = Vector2i(600, 500) +ok_button_text = "Open" +dialog_hide_on_ok = true +file_mode = 0 +filters = PackedStringArray("*.dialogue ; Dialogue") + +[node name="QuickOpenDialog" type="ConfirmationDialog" parent="."] +title = "Quick open" +size = Vector2i(600, 900) +min_size = Vector2i(400, 600) +ok_button_text = "Open" + +[node name="QuickOpenFilesList" parent="QuickOpenDialog" instance=ExtResource("2_npj2k")] + +[node name="ExportDialog" type="FileDialog" parent="."] +size = Vector2i(900, 750) +min_size = Vector2i(600, 500) + +[node name="ImportDialog" type="FileDialog" parent="."] +title = "Open a File" +size = Vector2i(900, 750) +min_size = Vector2i(600, 500) +ok_button_text = "Open" +file_mode = 0 +filters = PackedStringArray("*.csv ; Translation CSV") + +[node name="ErrorsDialog" type="AcceptDialog" parent="."] +title = "Error" +dialog_text = "You have errors in your script. Fix them and then try again." + +[node name="BuildErrorDialog" type="AcceptDialog" parent="."] +title = "Errors" +dialog_text = "You need to fix dialogue errors before you can run your game." + +[node name="CloseConfirmationDialog" type="ConfirmationDialog" parent="."] +title = "Unsaved changes" +ok_button_text = "Save changes" + +[node name="UpdatedDialog" type="AcceptDialog" parent="."] +title = "Updated" +size = Vector2i(191, 100) +dialog_text = "You're now up to date!" + +[connection signal="theme_changed" from="." to="." method="_on_main_view_theme_changed"] +[connection signal="visibility_changed" from="." to="." method="_on_main_view_visibility_changed"] +[connection signal="timeout" from="ParseTimer" to="." method="_on_parse_timer_timeout"] +[connection signal="pressed" from="Margin/Content/SidePanel/Toolbar/NewButton" to="." method="_on_new_button_pressed"] +[connection signal="about_to_popup" from="Margin/Content/SidePanel/Toolbar/OpenButton" to="." 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a/addons/godot_llama/bin/libgodot_llama.windows.template_release.x86_64.lib b/addons/godot_llama/bin/libgodot_llama.windows.template_release.x86_64.lib new file mode 100644 index 0000000..e899be4 Binary files /dev/null and b/addons/godot_llama/bin/libgodot_llama.windows.template_release.x86_64.lib differ diff --git a/addons/godot_llama/bin/llama.dll b/addons/godot_llama/bin/llama.dll new file mode 100644 index 0000000..81a6531 Binary files /dev/null and b/addons/godot_llama/bin/llama.dll differ diff --git a/addons/godot_llama/bin/~libgodot_llama.windows.template_debug.x86_64.dll b/addons/godot_llama/bin/~libgodot_llama.windows.template_debug.x86_64.dll new file mode 100644 index 0000000..c330003 Binary files /dev/null and b/addons/godot_llama/bin/~libgodot_llama.windows.template_debug.x86_64.dll differ diff --git a/addons/godot_llama/demo/demo.gd b/addons/godot_llama/demo/demo.gd new file mode 100644 index 0000000..cb6672c --- /dev/null +++ b/addons/godot_llama/demo/demo.gd @@ -0,0 +1,303 @@ +extends Control + +var _llama: GodotLlama +var _streaming_active := false +var _model_name := "Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf" +var _model_path +var _pending_user_text := "" +var _chat_history: Array[Dictionary] = [] +var _saved_state_blob := PackedByteArray() + +const DEFAULT_SYSTEM_PROMPT := "Antworte auf Deutsch. Antworte kurz und präzise in 1-2 Sätzen nur basierend auf dem bereitgestellten Dokument. Wenn die Antwort nicht im Dokument steht, antworte nur mit: 'Darauf kann ich nicht antworten, bitte stelle mir eine Frage zum EU AI Act'." +const DEFAULT_MAX_HISTORY_TURNS := 0 + + +var DEFAULT_N_CTX := 40096 +const DEFAULT_THREADS := 4 +const temperature:= 0.1 +const top_p:= 0.95 +const top_k:= 20 +const min_p:= 0.05 +const repeat_penalty:= 1.15 +const frequency_penalty:= 0.1 +const presence_penalty:= 0.0 +const penalty_last_n:= 64 +const max_tokens := 150 + + +@onready var _prompt_edit: TextEdit = $MarginContainer/Scroll/VBox/PromptEdit +@onready var _generate_button: Button = $MarginContainer/Scroll/VBox/GenerateRow/GenerateButton +@onready var _output_text: RichTextLabel = $MarginContainer/Scroll/VBox/OutputText +@onready var _status_label: Label = $MarginContainer/Scroll/VBox/StatusLabel +@onready var _close_button: Button = $MarginContainer/Scroll/VBox/GenerateRow2/CloseButton +@onready var main: Control = $"." +@onready var option_button: OptionButton = $MarginContainer/Scroll/VBox/OptionButton +@onready var option_label: Label = $MarginContainer/Scroll/VBox/Label +@onready var helper = $VBoxContainer/SubViewportContainer/SubViewport/base_node/helper + +var document_id + +signal closing_chatbot + + +func _ready() -> void: + helper.play_idle() + print('local chatbot ready') + _generate_button.pressed.connect(_on_generate_pressed) + _close_button.pressed.connect(_on_close_pressed) + _prompt_edit.connect("input_event", _on_prompt_edit_gui_input) + _llama = GodotLlama.new() + _llama.context.token_generated.connect(_on_token_generated) + _llama.context.generation_finished.connect(_on_generation_finished) + _llama.context.generation_error.connect(_on_generation_error) + document_id = option_button.selected + + print(DEFAULT_N_CTX) + _set_status("ready") + var exe_path = OS.get_executable_path() + var exe_dir = exe_path.get_base_dir() + _model_path = exe_dir.path_join("model/%s" % _model_name) + _on_load_model_pressed() + + +func _unhandled_input(event: InputEvent) -> void: + if not main.visible: return # Ignorieren wenn zu + if event.is_action_pressed("drop"): + get_viewport().set_input_as_handled() # Event stoppen + _on_close_pressed() + + if event.is_action_pressed("advance_dialogue"): + get_viewport().set_input_as_handled() # Event stoppen + _on_generate_pressed() + +func _on_TextEdit_gui_input(event): + if event is InputEventKey and event.pressed: + if event.keycode == KEY_ENTER and not event.shift_pressed: + _on_generate_pressed() + accept_event() # verhindert neue Zeile + +func _on_close_pressed() -> void: + print("close clicked") + main.visible = false + Input.set_mouse_mode(Input.MOUSE_MODE_CAPTURED) + Global.chatbot_opened = false + TextToSpeech._stop_dialogue() + + +func _on_load_model_pressed() -> void: + if _model_path.is_empty(): + _set_status("select a model first") + return + + _set_status("loading model...") + var err := _llama.load_model(_model_path) + if err != OK: + _set_status("model load failed: %s" % error_string(err)) + return + + _set_status("model loaded, creating context...") + _create_context_with_defaults() + +func _create_context_with_defaults() -> void: + var params := { + "n_ctx": DEFAULT_N_CTX, + "threads": DEFAULT_THREADS, + "threads_batch": DEFAULT_THREADS, + } + var err := _llama.create_context(params) + if err != OK: + _set_status("create context failed: %s" % error_string(err)) + return + _set_status("ready") + + +func _on_generate_pressed() -> void: + $VBoxContainer/SubViewportContainer/SubViewport/AnimationPlayer.play("walk_helper") + helper.play_think_walk() + print("generating...") + if not _llama.context.is_initialized(): + _set_status("create context first") + return + document_id = option_button.selected + var user_text := _prompt_edit.text.strip_edges() + if user_text.is_empty(): + _set_status("prompt is empty") + return + + # The demo rebuilds the full conversation prompt each turn, so reset context first. + _llama.context.reset() + + var prompt := _build_chat_prompt(user_text) + var max_tokens = max_tokens + var params := { + "temperature": temperature, + "top_p": top_p, + "top_k": top_k, + "min_p": min_p, + "repeat_penalty": repeat_penalty, + "frequency_penalty": frequency_penalty, + "presence_penalty": presence_penalty, + "penalty_last_n": penalty_last_n, + } + var stop_sequences := _parse_stop_sequences("<|eot_id|>") + if not stop_sequences.is_empty(): + params["stop_sequences"] = stop_sequences + + _output_text.clear() + _pending_user_text = user_text + print("real") + _set_status("generating...") + var result := _llama.generate(prompt, max_tokens, params) + var clean_result := _clean_assistant_output(result) + _output_text.text = clean_result + var line = {"text": clean_result} + TextToSpeech._on_dialogue(line) + #_append_chat_turn("user", user_text) + #_append_chat_turn("assistant", clean_result) + _set_status("generation finished") + +func _on_clear_memory_pressed() -> void: + _chat_history.clear() + _pending_user_text = "" + _set_status("memory cleared") + +func _on_clear_kv_pressed() -> void: + if not _llama.context.is_initialized(): + _set_status("context not initialized") + return + _llama.context.clear_kv_cache() + _set_status("kv cache cleared") + +func _on_save_state_memory_pressed() -> void: + if not _llama.context.is_initialized(): + _set_status("context not initialized") + return + _saved_state_blob = _llama.context.save_state() + if _saved_state_blob.is_empty(): + _set_status("save state blob failed") + return + _set_status("state blob saved (%d bytes)" % _saved_state_blob.size()) + +func _on_load_state_memory_pressed() -> void: + if not _llama.context.is_initialized(): + _set_status("context not initialized") + return + if _saved_state_blob.is_empty(): + _set_status("no saved state blob") + return + var err := _llama.context.load_state(_saved_state_blob) + if err != OK: + _set_status("load state blob failed: %s" % error_string(err)) + return + _set_status("state blob loaded") + +func _on_token_generated(token_text: String, _token_id: int) -> void: + if _streaming_active: + _output_text.text += token_text + +func _on_generation_finished(_full_text: String) -> void: + $VBoxContainer/SubViewportContainer/SubViewport/AnimationPlayer.stop() + helper.play_idle() + if _streaming_active: + var clean_text := _clean_assistant_output(_full_text) + _output_text.text = clean_text + #_append_chat_turn("user", _pending_user_text) + #_append_chat_turn("assistant", clean_text) + _streaming_active = false + _set_status("generation finished") + +func _on_generation_error(message: String) -> void: + _streaming_active = false + _set_status("generation error: %s" % message) + +func _set_status(message: String) -> void: + _status_label.text = "Status: %s" % message + +func _load_txt(path: String) -> String: + var file := FileAccess.open(path, FileAccess.READ) + + if file == null: + _set_status("file open failed: %s" % error_string(FileAccess.get_open_error())) + return "" + var content := file.get_as_text() + file.close() + return content + +func _build_chat_prompt(user_text: String) -> String: + var parts := PackedStringArray() + var clean_system := DEFAULT_SYSTEM_PROMPT.strip_edges() + + # Llama 3 Header + parts.append("<|begin_of_text|>") + + # system prompt + var system_combined := "" + if not clean_system.is_empty(): + system_combined += clean_system + if not system_combined.is_empty(): + parts.append("<|start_header_id|>system<|end_header_id|>\n\n") + parts.append(system_combined) + parts.append("<|eot_id|>") + var document + document = _load_txt("res://addons/godot_llama/demo/documents/%s.md" % [document_id]).strip_edges() + + # user-message with document + parts.append("<|start_header_id|>user<|end_header_id|>\n\n") + if not document.is_empty(): + parts.append("Dokument:\n%s\n\nFrage: " % document) + parts.append(user_text.strip_edges()) + parts.append("<|eot_id|>") + parts.append("<|start_header_id|>assistant<|end_header_id|>\n\n") + + print("".join(parts)) + + return "".join(parts) + +func _append_chat_turn(role: String, content: String) -> void: + var clean := content.strip_edges() + if clean.is_empty(): + return + _chat_history.append({ + "role": role, + "content": clean, + }) + _chat_history.clear() + return + +func _clean_assistant_output(text: String) -> String: + var out := text + var end_idx := out.find("<|") + if end_idx >= 0: + out = out.substr(0, end_idx) + out = out.replace("<|start_header_id|>assistant<|end_header_id|>", "") + out = out.replace("<|begin_of_text|>", "") + out = out.replace("<|end_of_text|>", "") + return out.strip_edges() + +func _parse_stop_sequences(raw: String) -> PackedStringArray: + var stops := PackedStringArray() + var parts := raw.split(",") + for part in parts: + var clean := String(part).strip_edges() + if not clean.is_empty(): + stops.append(clean) + return stops + + +func _on_close_button_pressed() -> void: + main.visible = false + Input.set_mouse_mode(Input.MOUSE_MODE_CAPTURED) + TextToSpeech._stop_dialogue() + Global.chatbot_opened = false + TextToSpeech._stop_dialogue() + closing_chatbot.emit() + +func _on_prompt_edit_gui_input(event: InputEvent) -> void: + if event is InputEventKey and event.pressed: + print(event.keycode) + if event.keycode == KEY_ENTER: + if event.shift_pressed: + _prompt_edit.insert_text_at_caret("\n") + else: + _on_generate_pressed() + accept_event() diff --git a/addons/godot_llama/demo/demo.gd.uid b/addons/godot_llama/demo/demo.gd.uid new file mode 100644 index 0000000..e860d5e --- /dev/null +++ b/addons/godot_llama/demo/demo.gd.uid @@ -0,0 +1 @@ +uid://ijn75g64aik7 diff --git a/addons/godot_llama/demo/demo.tscn b/addons/godot_llama/demo/demo.tscn new file mode 100644 index 0000000..e235f0c --- /dev/null +++ b/addons/godot_llama/demo/demo.tscn @@ -0,0 +1,292 @@ +[gd_scene load_steps=10 format=3 uid="uid://b0nf2m2olu4jf"] + +[ext_resource type="Script" uid="uid://bap8us47qcmmu" path="res://addons/godot_llama/demo/demo_wasm.gd" id="1_ujr2t"] +[ext_resource type="Texture2D" uid="uid://vbw4jtf02rrj" path="res://assets/Images/helper_2d.png" id="2_ujr2t"] +[ext_resource type="PackedScene" uid="uid://dl4nljdcflehk" path="res://helper.tscn" id="3_h7bxb"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ujr2t"] +bg_color = Color(0.2231029, 0.2231029, 0.22310278, 1) +border_width_left = 10 +border_width_top = 10 +border_width_right = 10 +border_width_bottom = 10 +border_blend = true + +[sub_resource type="Animation" id="Animation_cqsco"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("base_node/helper:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(-0.4379573, 0, 0)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("base_node/helper:rotation") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} + +[sub_resource type="Animation" id="Animation_h7bxb"] +resource_name = "walk_helper" +length = 2.0 +loop_mode = 1 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("base_node/helper:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 1, 2), +"transitions": PackedFloat32Array(1, 1, 1), +"update": 0, +"values": [Vector3(-0.4379573, 0, 0), Vector3(0.17161465, 0, 0), Vector3(-0.4379573, 0, 0)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("base_node/helper:rotation") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0, 0.95, 1, 1.89, 2), +"transitions": PackedFloat32Array(1, 1, 1, 1, 1), +"update": 0, +"values": [Vector3(0, 0.7853982, 0), Vector3(0, 0.7853982, 0), Vector3(0, -0.7853982, 0), Vector3(0, -0.7853982, 0), Vector3(0, 0.7853982, 0)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_i485n"] +_data = { +&"RESET": SubResource("Animation_cqsco"), +&"walk_helper": SubResource("Animation_h7bxb") +} + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_h7bxb"] +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_blend = true + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_cqsco"] +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_blend = true + +[node name="Main" type="Control"] +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +script = ExtResource("1_ujr2t") + +[node name="ColorRect" type="Panel" parent="."] +z_index = -4 +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_ujr2t") + +[node name="RichTextLabel" type="RichTextLabel" parent="."] +layout_mode = 0 +offset_left = 1230.0 +offset_top = 950.0 +offset_right = 1930.0 +offset_bottom = 1050.0 +theme_override_font_sizes/normal_font_size = 27 +text = "Bitte beachten: Sie sprechen mit einer künstlichen Intelligenz. Verlassen Sie sich nie auf die Antworten." +fit_content = true + +[node name="VBoxContainer" type="VBoxContainer" parent="."] +layout_mode = 0 +offset_top = 600.0 +offset_right = 1920.0 +offset_bottom = 1112.0 + +[node name="SubViewportContainer" type="SubViewportContainer" parent="VBoxContainer"] +layout_mode = 2 +size_flags_vertical = 3 + +[node name="SubViewport" type="SubViewport" parent="VBoxContainer/SubViewportContainer"] +transparent_bg = true +handle_input_locally = false +render_target_update_mode = 4 + +[node name="AnimationPlayer" type="AnimationPlayer" parent="VBoxContainer/SubViewportContainer/SubViewport"] +libraries = { +&"": SubResource("AnimationLibrary_i485n") +} + +[node name="base_node" type="Node3D" parent="VBoxContainer/SubViewportContainer/SubViewport"] +transform = Transform3D(-0.999866, -0.011394239, -0.011754247, 0, 0.718017, -0.6960256, 0.01637043, -0.6959323, -0.7179208, 0, 2.067563, 3.6948166) + +[node name="helper" parent="VBoxContainer/SubViewportContainer/SubViewport/base_node" instance=ExtResource("3_h7bxb")] +transform = Transform3D(0.9999999, 0, 0, 0, 1, 0, 0, 0, 0.9999999, -0.4379573, 0, 0) + +[node name="Camera3D" type="Camera3D" parent="VBoxContainer/SubViewportContainer/SubViewport/base_node"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.5216391, 1.5290761) + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="VBoxContainer/SubViewportContainer/SubViewport/base_node"] +transform = Transform3D(1, 0, 0, 0, 0.8110842, 0.58492947, 0, -0.58492947, 0.8110842, 0, 2.1413004, 2.5036023) + +[node name="MarginContainer" type="MarginContainer" parent="."] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_left = 16.0 +offset_top = 16.0 +offset_right = -16.0 +offset_bottom = -16.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_constants/margin_left = 12 +theme_override_constants/margin_top = 12 +theme_override_constants/margin_right = 12 +theme_override_constants/margin_bottom = 12 + +[node name="Scroll" type="ScrollContainer" parent="MarginContainer"] +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_vertical = 3 +horizontal_scroll_mode = 0 + +[node name="VBox" type="VBoxContainer" parent="MarginContainer/Scroll"] +layout_mode = 2 +size_flags_horizontal = 3 +theme_override_constants/separation = 8 + +[node name="HBoxContainer" type="HBoxContainer" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 + +[node name="TextureRect" type="TextureRect" parent="MarginContainer/Scroll/VBox/HBoxContainer"] +visible = false +layout_mode = 2 +texture = ExtResource("2_ujr2t") + +[node name="Title" type="Label" parent="MarginContainer/Scroll/VBox/HBoxContainer"] +layout_mode = 2 +theme_override_font_sizes/font_size = 30 +text = "Frag mich etwas zum EU AI Act und ich versuche es dir zu beantworten! " +horizontal_alignment = 1 + +[node name="Label" type="Label" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 +text = "Wähle ein Kapitel des EU AI Acts, zu dem du eine Frage hast:" + +[node name="OptionButton" type="OptionButton" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 +size_flags_horizontal = 0 +selected = 0 +allow_reselect = true +item_count = 16 +popup/item_0/text = "Kapitelübersicht und Kurzfassung" +popup/item_0/id = 0 +popup/item_1/text = "Erwägungsgründe" +popup/item_1/id = 1 +popup/item_2/text = "Kapitel 1 - Allgemeine Bestimmungen" +popup/item_2/id = 2 +popup/item_3/text = "Kapitel 2 - Verbotene Praktiken im KI-Bereich" +popup/item_3/id = 3 +popup/item_4/text = "Kapitel 3 - Hochrisiko-KI-Systeme" +popup/item_4/id = 4 +popup/item_5/text = "Kapitel 4 - Transparenzpflichten für Anbieter und Betreiber bestimmter KI-Systeme" +popup/item_5/id = 5 +popup/item_6/text = "Kapitel 5 - KI-Modelle mit allgemeinem Verwendungszweck" +popup/item_6/id = 6 +popup/item_7/text = "Kapitel 6 - Massnahmen zur Innovationsförderung" +popup/item_7/id = 7 +popup/item_8/text = "Kapitel 7 - Governance" +popup/item_8/id = 8 +popup/item_9/text = "Kapitel 8 - EU-Datenbank für Hochrisiko-KI-Systeme" +popup/item_9/id = 9 +popup/item_10/text = "Kapitel 9 - Beobachtung nach dem Inverkehrbringen, Informationsaustausch und Marktüberwachung" +popup/item_10/id = 10 +popup/item_11/text = "Kapitel 10 - Verhaltenskodizes und Leitlinien" +popup/item_11/id = 11 +popup/item_12/text = "Kapitel 11 - Befugnisübertragung und Ausschussverfahren" +popup/item_12/id = 12 +popup/item_13/text = "Kapitel 12 - Sanktionen" +popup/item_13/id = 13 +popup/item_14/text = "Kapitel 13 - Schlussbestimmungen" +popup/item_14/id = 14 +popup/item_15/text = "Anhang" +popup/item_15/id = 15 + +[node name="PromptLabel" type="Label" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 +text = "Frage:" + +[node name="PromptEdit" type="TextEdit" parent="MarginContainer/Scroll/VBox"] +custom_minimum_size = Vector2(0, 140) +layout_mode = 2 +theme_override_styles/normal = SubResource("StyleBoxFlat_h7bxb") +placeholder_text = "Schreib hier deine Frage..." +tab_input_mode = false + +[node name="GenerateRow" type="HBoxContainer" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 +theme_override_constants/separation = 8 + +[node name="GenerateButton" type="Button" parent="MarginContainer/Scroll/VBox/GenerateRow"] +z_index = 999 +layout_mode = 2 +text = "Enter" + +[node name="OutputLabel" type="Label" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 +text = "Antwort" + +[node name="OutputText" type="RichTextLabel" parent="MarginContainer/Scroll/VBox"] +custom_minimum_size = Vector2(0, 220) +layout_mode = 2 +theme_override_styles/normal = SubResource("StyleBoxFlat_cqsco") + +[node name="GenerateRow2" type="HBoxContainer" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 +theme_override_constants/separation = 8 + +[node name="CloseButton" type="Button" parent="MarginContainer/Scroll/VBox/GenerateRow2"] +z_index = 999 +layout_mode = 2 +text = "Schließen" + +[node name="StatusLabel" type="Label" parent="MarginContainer/Scroll/VBox"] +layout_mode = 2 +text = "Status: ready" + +[node name="ModelFileDialog" type="FileDialog" parent="."] +title = "Open a File" +size = Vector2i(900, 560) +ok_button_text = "Select" +file_mode = 0 +access = 2 +filters = PackedStringArray("*.gguf ; GGUF model files") + +[node name="HTTPRequest" type="HTTPRequest" parent="."] + +[connection signal="gui_input" from="MarginContainer/Scroll/VBox/PromptEdit" to="." method="_on_prompt_edit_gui_input"] +[connection signal="pressed" from="MarginContainer/Scroll/VBox/GenerateRow/GenerateButton" to="." method="_on_generate_pressed"] +[connection signal="pressed" from="MarginContainer/Scroll/VBox/GenerateRow2/CloseButton" to="." method="_on_close_pressed"] diff --git a/addons/godot_llama/demo/demo_wasm.gd b/addons/godot_llama/demo/demo_wasm.gd new file mode 100644 index 0000000..ddcf049 --- /dev/null +++ b/addons/godot_llama/demo/demo_wasm.gd @@ -0,0 +1,143 @@ +extends Control + +@onready var _prompt_edit: TextEdit = $MarginContainer/Scroll/VBox/PromptEdit +@onready var main: Control = $"." +@onready var _http: HTTPRequest = $HTTPRequest +@onready var output_text: RichTextLabel = $MarginContainer/Scroll/VBox/OutputText +@onready var option_button: OptionButton = $MarginContainer/Scroll/VBox/OptionButton +@onready var generate_button: Button = $MarginContainer/Scroll/VBox/GenerateRow/GenerateButton +@onready var helper = $VBoxContainer/SubViewportContainer/SubViewport/base_node/helper + +const API_URL := "" #TODO insert your url to the llm / api-gateway here + +var document_id + +signal closing_chatbot + + +func _ready(): + _http.request_completed.connect(Callable(self, "_on_request_completed")) + document_id = option_button.selected + helper.play_idle() + + +func _unhandled_input(event: InputEvent) -> void: + if not main.visible: + return + print(option_button.selected) + if event.is_action_pressed("drop"): + get_viewport().set_input_as_handled() + _on_close_pressed() + + #if event.is_action_pressed("advance_dialogue"): +# get_viewport().set_input_as_handled() +# _on_generate_pressed() + + +func _on_generate_pressed() -> void: + $VBoxContainer/SubViewportContainer/SubViewport/AnimationPlayer.play("walk_helper") + helper.play_think_walk() + var user_text := _prompt_edit.text.strip_edges() + document_id = option_button.selected + TextToSpeech._stop_dialogue() + if user_text.is_empty(): + print("Prompt ist leer") + return + + var document = _load_txt("res://addons/godot_llama/demo/documents/%s.md" % [document_id]).strip_edges() + print(document_id) + print(document) + var combined_user_message := "" + + if not document.is_empty(): + combined_user_message = "Dokument:\n%s\n\nFrage: %s" % [document, user_text] + else: + combined_user_message = user_text + + var body := { + "question": combined_user_message + } + + var headers = [ + "Content-Type: application/json", + #"Authorization: Bearer %s" % API_TOKEN + ] + + var json_body := JSON.stringify(body) + + + var err = _http.request( + API_URL, + headers, + HTTPClient.METHOD_POST, + json_body + ) + + if err != OK: + print("HTTP Fehler: ", err) + + generate_button.disabled = true + +func _on_request_completed( + result: int, + response_code: int, + headers: PackedStringArray, + body: PackedByteArray +) -> void: + $VBoxContainer/SubViewportContainer/SubViewport/AnimationPlayer.stop() + helper.play_idle() + var txt := body.get_string_from_utf8() + + if response_code != 200: + return + + var json = JSON.parse_string(txt) + + if json == null: + print("JSON Fehler") + return + + if json.has("content"): + print('content:') + print(json["content"]) + var response_text = json["content"] + output_text.text = response_text + + if json.has("message"): + print('message:') + print(json["message"]) + var response_text = json["message"]["content"] + output_text.text = response_text + var line = {"text": output_text.text} + TextToSpeech._on_dialogue(line) + generate_button.disabled = false + +func _load_txt(path: String) -> String: + var file := FileAccess.open(path, FileAccess.READ) + print(file) + if file == null: + return "" + + var content := file.get_as_text() + file.close() + + return content + +func _on_close_pressed() -> void: + main.visible = false + Input.set_mouse_mode(Input.MOUSE_MODE_CAPTURED) + TextToSpeech._stop_dialogue() + Global.chatbot_opened = false + TextToSpeech._stop_dialogue() + closing_chatbot.emit() + + +func _on_prompt_edit_gui_input(event: InputEvent) -> void: + if event is InputEventKey and event.pressed: + print(event.keycode) + if event.keycode == KEY_ENTER: + if event.shift_pressed: + _prompt_edit.insert_text_at_caret("\n") + else: + _on_generate_pressed() + accept_event() diff --git a/addons/godot_llama/demo/demo_wasm.gd.uid b/addons/godot_llama/demo/demo_wasm.gd.uid new file mode 100644 index 0000000..936495e --- /dev/null +++ b/addons/godot_llama/demo/demo_wasm.gd.uid @@ -0,0 +1 @@ +uid://bap8us47qcmmu diff --git a/addons/godot_llama/demo/documents/0.md b/addons/godot_llama/demo/documents/0.md new file mode 100644 index 0000000..364522b --- /dev/null +++ b/addons/godot_llama/demo/documents/0.md @@ -0,0 +1,1187 @@ +Future of Life Institute | Available online: artificialintelligenceact.eu/high-level-summary + + + +\# Inhaltsverzeichnis + + + +\# Kapitel I: Allgemeine Bestimmungen + + + +Artikel 1: Gegenstand + + + +Artikel 2: Anwendungsbereich + + + +Artikel 3: Begriffsbestimmungen + + + +Artikel 4: KI-Kompetenz + + + +\# Kapitel II: Verbotene AI-Praktiken + + + +Artikel 5: Verbotene AI-Praktiken + + + +\# Kapitel III: Hochriskantes KI-System + + + +Abschnitt 1: Einstufung von KI-Systemen als hochriskant + + + +Artikel 6: Klassifizierungsregeln für KI-Systeme mit hohem Risiko + + + +Artikel 7: Änderungen des Anhangs III + + + +Abschnitt 2: Anforderungen an hochriskante KI-Systeme + + + +Artikel 8: Erfüllung der Anforderungen + + + +Artikel 9: Risikomanagementsystem + + + +Artikel 10: Daten und Datenverwaltung + + + +Artikel 11: Technische Dokumentation + + + +Artikel 12: Aufbewahrung der Aufzeichnungen + + + +Artikel 13: Transparenz und Bereitstellung von Informationen für Einsatzkräfte + + + +Artikel 14: Menschliche Aufsichtsbehörden + + + +Artikel 15: Genauigkeit, Robustheit und Cybersicherheit + + + +Abschnitt 3: Verpflichtungen von Anbietern und Betreibern von KI-Systemen mit hohem Risiko und anderen Parteien + + + +Artikel 16: Pflichten der Anbieter von KI-Systemen mit hohem Risiko + + + +Artikel 17: Qualitätsmanagementsystem + + + +Artikel 18: Führung der Dokumentation + + + +Artikel 19: Automatisch erzeugte Protokolle + + + +Artikel 20: Abhilfemaßnahmen und Informationspflicht + + + +Artikel 21: Zusammenarbeit mit den zuständigen Behörden + + + +Artikel 22: Bevollmächtigte Vertreter von Anbietern von KI-Systemen mit hohem Risikopotenzial + + + +Artikel 23: Pflichten der Importeure + + + +Artikel 24: Pflichten des Händlers + + + +Artikel 25: Verantwortlichkeiten entlang der KI-Wertschöpfungskette + + + +Artikel 26: Pflichten der Betreiber von KI-Systemen mit hohem Risiko + + + +Artikel 27: Grundrechtliche Folgenabschätzung für hochriskante KI-Systeme + + + +Abschnitt 4: Notifizierende Behörden und benannte Stellen + + + +Artikel 28: Notifizierende Behörden + + + +Artikel 29: Antrag einer Konformitätsbewertungsstelle auf Notifizierung + + + +Artikel 30: Notifizierungsverfahren + + + +Artikel 31: Anforderungen an die benannten Stellen + + + +Artikel 32: Vermutung der Konformität mit den Anforderungen in Bezug auf benannte Stellen + + + +Artikel 33: Zweigstellen der benannten Stellen und Vergabe von Unteraufträgen + + + +Artikel 34: Operative Verpflichtungen der benannten Stellen + + + +Artikel 35: Kennnummern und Verzeichnisse der benannten Stellen + + + +Artikel 36: Änderungen der Notifizierungen + + + +Artikel 37: Anfechtung der Zuständigkeit der benannten Stellen + + + +Artikel 38: Koordinierung der benannten Stellen + + + +Artikel 39: Konformitätsbewertungsstellen von Drittländern + + + +Abschnitt 5: Normen, Konformitätsbewertung, Bescheinigungen, Registrierung + + + +Artikel 40: Harmonisierte Normen und Normungsdokumente + + + +Artikel 41: Gemeinsame Spezifikationen + + + +Artikel 42: Vermutung der Konformität mit bestimmten Anforderungen + + + +Artikel 43: Konformitätsbewertung + + + +Artikel 44: Bescheinigungen + + + +Artikel 45: Informationsverpflichtungen der benannten Stellen + + + +Artikel 46: Ausnahmen vom Konformitätsbewertungsverfahren + + + +Artikel 47: EU-Konformitätserklärung + + + +Artikel 48: CE-Kennzeichnung + + + +Artikel 49: Registrierung + + + +\# Kapitel IV: Transparenzverpflichtungen für Anbieter und Betreiber von bestimmten KI-Systemen + + + +Artikel 50: Transparenzverpflichtungen für Anbieter und Betreiber von bestimmten KI-Systemen + + + +\# Kapitel V: KI-Modelle für allgemeine Zwecke + + + +Abschnitt 1: Einstufungsregeln + + + +Artikel 51: Einstufung von KI-Modellen für allgemeine Zwecke als KI-Modelle für allgemeine Zwecke mit systemischem Risiko + + + +Artikel 52: Verfahren + + + +Abschnitt 2: Verpflichtungen für Anbieter von KI-Modellen für allgemeine Zwecke + + + +Artikel 53: Verpflichtungen für Anbieter von KI-Modellen für allgemeine Zwecke + + + +Artikel 54: Bevollmächtigte Vertreter von Anbietern von KI-Modellen für allgemeine Zwecke + + + +Abschnitt 3: Pflichten der Anbieter von KI-Modellen für allgemeine Zwecke mit systemischem Risiko + + + +Artikel 55: Verpflichtungen für Anbieter von KI-Modellen für allgemeine Zwecke mit systemischem Risiko + + + +Abschnitt 4: Verhaltenskodizes + + + +Artikel 56: Verhaltenskodizes + + + +\# Kapitel VI: Maßnahmen zur Unterstützung der Innovation + + + +Artikel 57: Regulierungssandkästen für KI + + + +Artikel 58: Detaillierte Vorkehrungen für KI-Regulierungssandkästen und deren Funktionsweise + + + +Artikel 59: Weiterverarbeitung personenbezogener Daten für die Entwicklung bestimmter KI-Systeme im öffentlichen Interesse in der KI-Regulierungssandbox + + + +Artikel 60: Erprobung von KI-Systemen mit hohem Risiko unter realen Bedingungen außerhalb der Sandkästen der KI-Regulierungsbehörden + + + +Artikel 61: Einwilligung nach Inkenntnissetzung in die Teilnahme an Tests unter realen Bedingungen außerhalb von Sandkästen der KI-Regulierung + + + +Artikel 62: Maßnahmen für Anbieter und Verleiher, insbesondere für KMU, einschließlich Start-Ups + + + +Artikel 63: Ausnahmeregelungen für bestimmte Marktteilnehmer + + + +\# Kapitel VII: Governance + + + +Abschnitt 1: Governance auf Unionsebene + + + +Artikel 64: AI-Büro + + + +Artikel 65: Einrichtung und Struktur des Europäischen Rats für künstliche Intelligenz + + + +Artikel 66: Aufgaben des Verwaltungsrats + + + +Artikel 67: Beratungsgremium + + + +Artikel 68: Wissenschaftliches Gremium aus unabhängigen Sachverständigen + + + +Artikel 69: Zugang der Mitgliedstaaten zum Sachverständigenpool + + + +Abschnitt 2: Zuständige nationale Behörden + + + +Artikel 70: Benennung der zuständigen nationalen Behörden und des einheitlichen Ansprechpartners + + + +\# Kapitel VIII: EU-Datenbank für hochriskante KI-Systeme + + + +Artikel 71: EU-Datenbank für in Anhang III aufgeführte Hochrisiko-KI-Systeme + + + +\# Kapitel IX: Überwachung nach dem Inverkehrbringen, Informationsaustausch und Marktaufsicht + + + +Abschnitt 1: Überwachung nach dem Inverkehrbringen + + + +Artikel 72: Überwachung nach dem Inverkehrbringen durch die Anbieter und Plan zur Überwachung nach dem Inverkehrbringen für KI-Systeme mit hohem Risiko + + + +Abschnitt 2: Weitergabe von Informationen über schwerwiegende Zwischenfälle + + + +Artikel 73: Meldung schwerwiegender Vorkommnisse + + + +Abschnitt 3: Durchsetzung + + + +Artikel 74: Marktüberwachung und Kontrolle von KI-Systemen auf dem Unionsmarkt + + + +Artikel 75: Gegenseitige Unterstützung, Marktüberwachung und Kontrolle von KI-Systemen für allgemeine Zwecke + + + +Artikel 76: Überwachung von Tests unter realen Bedingungen durch die Marktüberwachungsbehörden + + + +Artikel 77: Befugnisse der Behörden zum Schutz der Grundrechte + + + +Artikel 78: Vertraulichkeit + + + +Artikel 79: Verfahren auf nationaler Ebene für den Umgang mit KI-Systemen, die ein Risiko darstellen + + + +Artikel 80: Verfahren für den Umgang mit KI-Systemen, die vom Anbieter in Anwendung von Anhang III als nicht hochriskant eingestuft werden + + + +Artikel 81: Schutzklauselverfahren der Union + + + +Artikel 82: Konforme KI-Systeme, die ein Risiko darstellen + + + +Artikel 83: Formale Nichteinhaltung + + + +Artikel 84: Union AI Testing Support Structures + + + +Abschnitt 4: Rechtsbehelfe + + + +Artikel 85: Recht auf Einreichung einer Beschwerde bei einer Marktaufsichtsbehörde + + + +Artikel 86: Recht auf Erläuterung der individuellen Entscheidungsfindung + + + +Artikel 87: Meldung von Verstößen und Schutz von Personen, die Verstöße melden + + + +Abschnitt 5: Beaufsichtigung, Untersuchung, Durchsetzung und Überwachung in Bezug auf Anbieter von KI-Modellen für allgemeine Zwecke + + + +Artikel 88: Durchsetzung der Verpflichtungen von Anbietern von KI-Modellen für allgemeine Zwecke + + + +Artikel 89 : Überwachungsmaßnahmen + + + +Artikel 90: Warnungen vor systemischen Risiken durch das Wissenschaftliche Gremium + + + +Artikel 91: Befugnis zur Anforderung von Unterlagen und Informationen + + + +Artikel 92: Befugnis zur Durchführung von Evaluierungen + + + +Artikel 93: Befugnis, Maßnahmen zu beantragen + + + +Artikel 94: Verfahrensrechte der Wirtschaftsbeteiligten des AI-Modells für allgemeine Zwecke + + + +\# Kapitel X: Verhaltenskodizes und Leitlinien + + + +Artikel 95: Verhaltenskodizes für die freiwillige Anwendung von spezifischen Anforderungen + + + +Artikel 96: Leitlinien der Kommission für die Durchführung dieser Verordnung + + + +\# Kapitel XI: Befugnisübertragungen und Ausschussverfahren + + + +Artikel 97: Ausübung der Befugnisse der Delegation + + + +Artikel 98: Ausschussverfahren + + + +\# Kapitel XII: Sanktionen + + + +Artikel 99: Sanktionen + + + +Artikel 100: Geldbußen gegen Organe, Einrichtungen, Ämter und Agenturen der Union + + + +Artikel 101: Geldbußen für Anbieter von KI-Modellen für allgemeine Zwecke + + + +\# Kapitel XIII: Schlussbestimmungen + + + +Artikel 102: Änderung der Verordnung (EG) Nr. 300/2008 + + + +Artikel 103: Änderung der Verordnung (EU) Nr. 167/2013 + + + +Artikel 104: Änderung der Verordnung (EU) Nr. 168/2013 + + + +Artikel 105: Änderung der Richtlinie 2014/90/EU + + + +Artikel 106: Änderung der Richtlinie (EU) 2016/797 + + + +Artikel 107: Änderung der Verordnung (EU) 2018/858 + + + +Artikel 108: Änderungen der Verordnung (EU) 2018/1139 + + + +Artikel 109: Änderung der Verordnung (EU) 2019/2144 + + + +Artikel 110: Änderung der Richtlinie (EU) 2020/1828 + + + +Artikel 111: Bereits in Verkehr gebrachte oder in Betrieb genommene KI-Systeme und bereits in Verkehr gebrachte KI-Modelle für allgemeine Zwecke \[sic] + + + +Artikel 112: Bewertung und Überprüfung + + + +Artikel 113: Inkrafttreten und Anwendung + + + +\# Erwägungsgründe 1 bis 180 + + + +\# Anhänge + + + +Anhang I: Liste der Harmonisierungsrechtsvorschriften der Union + + + +Anhang II: Liste der in Artikel 5 Absatz 1 Unterabsatz 1 Buchstabe h Ziffer iii genannten Straftaten + + + +Anhang III: In Artikel 6 Absatz 2 genannte AI-Systeme mit hohem Risiko + + + +Anhang IV: Technische Unterlagen gemäß Artikel 11 Absatz 1 + + + +Anhang V: EU-Konformitätserklärung + + + +Anhang VI: Konformitätsbewertungsverfahren auf der Grundlage der internen Kontrolle + + + +Anhang VII: Konformität auf der Grundlage einer Bewertung des Qualitätsmanagementsystems und einer Bewertung der technischen Dokumentation + + + +Anhang VIII: Informationen, die bei der Registrierung von AI-Systemen mit hohem Risiko gemäß Artikel 49 vorzulegen sind + + + +Anhang IX: Informationen, die bei der Registrierung von in Anhang III aufgeführten Hochrisiko-KI-Systemen in Bezug auf die Prüfung unter realen Bedingungen gemäß Artikel 60 vorzulegen sind + + + +Anhang X: Gesetzgebungsakte der Union über IT-Großsysteme im Bereich Freiheit, Sicherheit und Recht + + + +Anhang XI: Technische Dokumentation gemäß Artikel 53 Absatz 1 Buchstabe a) - Technische Dokumentation für Anbieter von KI-Modellen für allgemeine Zwecke + + + +Anhang XII: Transparenzinformationen gemäß Artikel 53 Absatz 1 Buchstabe b - Technische Dokumentation für Anbieter von AI-Modellen für allgemeine Zwecke an nachgeschaltete Anbieter, die das Modell in ihr AI-System integrieren + + + +Anhang XIII: Kriterien für die Benennung von KI-Modellen für allgemeine Zwecke mit systemischem Risiko gemäß Artikel 51 + + + + + +\# Hochgradige Zusammenfassung des KI-Gesetzes + + + +\## In diesem Artikel bieten wir Ihnen eine allgemeine Zusammenfassung des KI-Gesetzes, + + + +\## bei der wir die Teile ausgewählt haben, die unabhängig davon, wer Sie sind, am + + + +\## ehesten für Sie relevant sind. Wir stellen Links zum Originaldokument bereit, wo + + + +\## dies sinnvoll ist, damit Sie immer auf den Text des Gesetzes verweisen können. + + + +\## Vier-Punkte-Zusammenfassung + + + +\## Das KI-Gesetz klassifiziert KI nach ihrem Risiko: + + + +\- Unannehmbares Risiko ist verboten (z. B. Social-Scoring-Systeme und manipulative KI). + +\- Der Großteil des Textes befasst sich mit hochriskanten KI-Systemen, die reguliert werden. + +\- Ein kleinerer Abschnitt behandelt KI-Systeme mit begrenztem Risiko, die leichteren Transparenzverpflichtungen unterliegen: + + Entwickler und Betreiber müssen sicherstellen, dass Endnutzer sich darüber im Klaren sind, dass sie mit KI + + interagieren (Chatbots und Deepfakes). + +\- Minimales Risiko ist unreguliert (einschließlich der Mehrheit der KI-Anwendungen, die derzeit auf dem EU- + + Binnenmarkt verfügbar sind, wie KI-gestützte Videospiele und Spam-Filter – zumindest im Jahr 2021; dies ändert + + sich mit generativer KI). + + + +\## Die Mehrheit der Verpflichtungen fällt auf Anbieter (Entwickler) von hochriskanten KI- + + + +\## Systemen. + + + +\- Diejenigen, die beabsichtigen, hochriskante KI-Systeme in der EU auf den Markt zu bringen oder in Betrieb zu nehmen, + + unabhängig davon, ob sie in der EU oder einem Drittland ansässig sind. + +\- Und auch Anbieter aus Drittländern, wenn die Ergebnisse des hochriskanten KI-Systems in der EU verwendet werden. + + + +\## Betreiber (Deployer) sind natürliche oder juristische Personen, die ein KI-System in + + + +\## beruflicher Funktion einsetzen, nicht die betroffenen Endnutzer. + + + +\- Betreiber von hochriskanten KI-Systemen haben einige Verpflichtungen, wenn auch weniger als Anbieter + + (Entwickler). + +\- Dies gilt für Betreiber mit Sitz in der EU und Nutzer in Drittländern, wenn die Ergebnisse des KI-Systems + + in der EU verwendet werden. + + + +\## Allgemein verwendbare KI (General Purpose AI – GPAI): + + + +\- Alle Anbieter von GPAI-Modellen müssen eine technische Dokumentation und eine Gebrauchsanweisung bereitstellen, + + die Urheberrechtsrichtlinie einhalten und eine Zusammenfassung über die für das Training verwendeten Inhalte veröffentlichen. + +\- Anbieter von GPAI-Modellen mit freier und offener Lizenz müssen nur das Urheberrecht einhalten und die + + Zusammenfassung der Trainingsdaten veröffentlichen, es sei denn, sie stellen ein systemisches Risiko dar. + +\- Alle Anbieter von GPAI-Modellen, die ein systemisches Risiko darstellen – ob offen oder geschlossen –, müssen zudem + + Modellevaluierungen und Adversarial Testing (gegnerische Tests) durchführen, schwerwiegende Vorfälle nachverfolgen und melden + + sowie Cybersicherheitsmaßnahmen gewährleisten. + + + + + +\## Verbotene KI-Systeme (Kapitel II, Art. 5) + + + +KI-Systeme, die: + + + +\- \*\*subliminale (unterschwellige), manipulative oder täuschende Techniken\*\* einsetzen, um das Verhalten zu verzerren und eine + + fundierte Entscheidungsfindung zu beeinträchtigen, was zu erheblichem Schaden führt. + +\- \*\*Schwachstellen ausnutzen\*\*, die mit dem Alter, einer Behinderung oder der sozioökonomischen Situation zusammenhängen, um das + + Verhalten zu verzerren, was zu erheblichem Schaden führt. + +\- \*\*Social Scoring\*\* betreiben, d. h. die Bewertung oder Klassifizierung von Personen oder Gruppen auf der Grundlage ihres sozialen + + Verhaltens oder ihrer Persönlichkeitsmerkmale, was zu einer nachteiligen oder ungünstigen Behandlung dieser Personen führt. + +\- \*\*das Risiko bewerten, dass eine Person eine Straftat begeht\*\*, und zwar ausschließlich auf der Grundlage von Profiling oder + + Persönlichkeitsmerkmalen, außer wenn sie zur Unterstützung menschlicher Bewertungen verwendet werden, die auf objektiven, + + verifizierbaren Fakten basieren, die direkt mit einer kriminellen Aktivität zusammenhängen. + +\- \*\*Gesichtserkennungsdatenbanken aufbauen\*\* durch das ungezielte Auslesen (Scraping) von Gesichtsbildern aus dem Internet oder + + von Videoüberwachungsaufnahmen (CCTV). + +\- \*\*Emotionen am Arbeitsplatz oder in Bildungseinrichtungen erfassen\*\*, außer aus medizinischen oder Sicherheitsgründen. + +\- \*\*biometrische Kategorisierungssysteme\*\* nutzen, um sensible Attribute abzuleiten (Rasse, politische Meinungen, + + Gewerkschaftsmitgliedschaft, religiöse oder weltanschauliche Überzeugungen, Sexualleben oder sexuelle Orientierung), außer beim + + Kennzeichnen oder Filtern von rechtmäßig erworbenen biometrischen Datensätzen oder wenn die Strafverfolgung + + biometrische Daten kategorisiert. + +\- \*\*„Echtzeit“-Fernidentifizierungssysteme (Remote Biometric Identification – RBI) in öffentlich zugänglichen Räumen für die\*\* + + \*\*Strafverfolgung\*\* nutzen, außer bei: + + o der gezielten Suche nach vermissten Personen, Entführungsopfern und Menschen, die Opfer von Menschenhandel oder + + sexueller Ausbeutung geworden sind; + + o der Abwendung einer konkreten, erheblichen und unmittelbar bevorstehenden Gefahr für das Leben oder die körperliche Unversehrtheit + + oder eines vorhersehbaren Terroranschlags; oder + + o der Identifizierung von Verdächtigen bei schweren Straftaten (z. B. Mord, Vergewaltigung, bewaffneter Raubüberfall, Drogen- und + + illegaler Waffenhandel, organisierte Kriminalität, Umweltkriminalität usw.). + + + +\*\*Hinweise zur biometrischen Fernidentifizierung:\*\* + + + +\- Der Einsatz von KI-gestützter Echtzeit-RBI ist nur zulässig, \*\*wenn das Nicht-Auffinden des Tools Schaden verursachen würde,\*\* + + insbesondere im Hinblick auf die Schwere, Wahrscheinlichkeit und das Ausmaß dieses Schadens, und muss die Rechte und + + Freiheiten der betroffenen Personen berücksichtigen. + +\- Vor dem Einsatz muss die Polizei eine \*\*Grundrechte-Folgenabschätzung\*\* durchführen und \*\*das System in der EU-Datenbank registrieren,\*\* + + wobei in ordnungsgemäß begründeten Dringlichkeitsfällen der Einsatz ohne Registrierung begonnen werden kann, vorausgesetzt, dass + + die Registrierung später ohne ungebührliche Verzögerung nachgeholt wird. + +\- Vor dem Einsatz muss zudem eine \*\*Genehmigung durch eine Justizbehörde oder eine unabhängige Verwaltungsbehörde\*\*^1 eingeholt werden, + + wobei in ordnungsgemäß begründeten Dringlichkeitsfällen der Einsatz ohne Genehmigung beginnen kann, sofern die Genehmigung innerhalb + + von 24 Stunden beantragt wird. Wenn die Genehmigung abgelehnt wird, muss der Einsatz sofort eingestellt werden, wobei alle Daten, + + Ergebnisse und Ausgaben zu löschen sind. + + + +(^1) Unabhängige Verwaltungsbehörden können einem größeren politischen Einfluss unterliegen als Justizbehörden (Hacker, 2024). + + + + + +\## Hochriskante KI-Systeme (Kapitel III) + + + +\*\*Klassifizierungsregeln für hochriskante KI-Systeme (Art. 6)\*\* + + + +Hochriskante KI-Systeme sind solche: + + + +\- die als Sicherheitskomponente oder als Produkt verwendet werden, das unter die EU-Vorschriften in Anhang I fällt, \*\*UND\*\* + + die sich einer Konformitätsbewertung durch Dritte gemäß diesen Vorschriften in Anhang I unterziehen müssen; \*\*ODER\*\* + +\- jene, die unter die Anwendungsfälle des Anhangs III (unten) fallen, es sei denn: + + o das KI-System führt eine eng begrenzte verfahrenstechnische Aufgabe aus; + + o es verbessert das Ergebnis einer zuvor abgeschlossenen menschlichen Tätigkeit; + + o es erkennt Entscheidungsmuster oder Abweichungen von früheren Entscheidungsmustern und ist nicht dazu gedacht, + + die zuvor abgeschlossene menschliche Bewertung ohne angemessene menschliche Überprüfung zu ersetzen oder zu beeinflussen; oder + + o es führt eine vorbereitende Aufgabe für eine Bewertung aus, die für die Zwecke der in Anhang III aufgeführten Anwendungsfälle + + relevant ist. + +\- Die Kommission kann die oben genannten Bedingungen durch delegierte Rechtsakte ergänzen oder ändern, wenn konkrete Beweise + + dafür vorliegen, dass ein unter Anhang III fallendes KI-System kein erhebliches Risiko für die Gesundheit, die Sicherheit und die + + Grundrechte darstellt. Sie kann auch Bedingungen streichen, wenn konkrete Beweise vorliegen, dass dies zum Schutz von Menschen + + erforderlich ist. + +\- KI-Systeme werden \*\*immer als hochriskant eingestuft, wenn sie ein Profiling von Personen durchführen,\*\* d. h. die automatisierte + + Verarbeitung personenbezogener Daten, um verschiedene Aspekte des Lebens einer Person zu bewerten, wie Arbeitsleistung, + + wirtschaftliche Lage, Gesundheit, persönliche Vorlieben, Interessen, Zuverlässigkeit, Verhalten, Aufenthaltsort oder Ortswechsel. + +\- Anbieter, die der Ansicht sind, dass ihr unter Anhang III fallendes KI-System nicht hochriskant ist, müssen eine solche + + Bewertung dokumentieren, bevor sie es auf den Markt bringen oder in Betrieb nehmen. + +\- 18 Monate nach dem Inkrafttreten wird die Kommission Leitlinien zur Bestimmung der Hochrisiko-Eigenschaft von KI-Systemen mit einer + + Liste praktischer Beispiele für hochriskante und nicht hochriskante Anwendungsfälle bereitstellen. + + + +\*\*Anforderungen an Anbieter von hochriskanten KI-Systemen (Art. 8–17)\*\* + + + +Anbieter von hochriskanten KI-Systemen müssen: + + + +\- Ein \*\*Risikomanagementsystem\*\* über den gesamten Lebenszyklus des hochriskanten KI-Systems hinweg einrichten; + +\- Eine \*\*Daten-Governance\*\* durchführen und sicherstellen, dass die Trainings-, Validierungs- und Testdatensätze relevant, + + ausreichend repräsentativ und, so weit wie möglich, fehlerfrei und vollständig in Bezug auf den beabsichtigten Zweck sind. + +\- Eine \*\*technische Dokumentation\*\* erstellen, um die Konformität nachzuweisen und den Behörden die Informationen zur Verfügung zu stellen, + + die sie für die Bewertung dieser Konformität benötigen. + +\- Ihr hochriskantes KI-System so konzipieren, dass eine \*\*Protokollierung (Record-Keeping)\*\* möglich ist, um automatisch Ereignisse + + aufzuzeichnen, die für die Identifizierung von Risiken auf nationaler Ebene und wesentlichen Änderungen während des + + Lebenszyklus des Systems relevant sind. + +\- Nachgeschalteten Betreibern eine \*\*Gebrauchsanweisung\*\* zur Verfügung stellen, um deren Compliance zu ermöglichen. + +\- Ihr hochriskantes KI-System so konzipieren, dass Betreiber eine \*\*menschliche Aufsicht\*\* umsetzen können. + +\- Ihr hochriskantes KI-System so konzipieren, dass ein angemessenes Niveau an \*\*Genauigkeit, Robustheit und Cybersicherheit\*\* erreicht wird. + +\- Ein \*\*Qualitätsmanagementsystem\*\* einrichten, um die Compliance sicherzustellen. + + + + + +\*\*Anwendungsfälle nach Anhang III\*\* + + + +\*\*Nicht verbotene Biometrie\*\* : + + + +\- Fernidentifizierungssysteme (Remote Biometric Identification), ausgenommen die biometrische Verifizierung, die lediglich bestätigt, + + dass eine Person diejenige ist, die sie vorgebliche zu sein. + +\- Biometrische Kategorisierungssysteme, die sensible oder geschützte Attribute oder Merkmale ableiten. + +\- Erkennungssysteme für Emotionen. + + + +\*\*Kritische Infrastruktur\*\* : + + + +\- Sicherheitskomponenten im Management und Betrieb von kritischer digitaler Infrastruktur, dem Straßenverkehr sowie der + + Versorgung mit Wasser, Gas, Heizung und Strom. + + + +\*\*Allgemeine und berufliche Bildung\*\* : + + + +\- KI-Systeme, die über den Zugang, die Zulassung oder die Zuweisung zu Bildungs- und Berufsbildungseinrichtungen + + auf allen Ebenen entscheiden. + +\- Bewertung von Lernergebnissen, einschließlich solcher, die zur Steuerung des Lernprozesses des Schülers/Studierenden verwendet werden. + +\- Bewertung des für eine Person angemessenen Bildungsniveaus. + +\- Überwachung und Erkennung von verbotenem Verhalten von Schülern/Studierenden während Prüfungen. + + + +\*\*Beschäftigung, Personalmanagement und Zugang zur selbstständigen Erwerbstätigkeit:\*\* + + + +\*\*-\*\* KI-Systeme, die für die Personalrekrutierung oder -auswahl verwendet werden, insbesondere für zielgerichtete Stellenanzeigen, + + die Analyse und Filterung von Bewerbungen sowie die Bewertung von Kandidaten. + +\*\*-\*\* Beförderung und Kündigung von Verträgen, Zuweisung von Aufgaben basierend auf Persönlichkeitsmerkmalen oder -charakteristika und + + Verhalten sowie die Überwachung und Bewertung der Leistung. + + + +\*\*Zugang zu und Inanspruchnahme von wesentlichen privaten und öffentlichen Diensten:\*\* + + + +\*\*-\*\* KI-Systeme, die von Behörden verwendet werden, um die Berechtigung zu Leistungen und Diensten zu prüfen, einschließlich deren + + Zuweisung, Reduzierung, Widerruf oder Rückforderung. + +\*\*-\*\* Bewertung der Kreditwürdigkeit, außer bei der Erkennung von Finanzbetrug. + +\*\*-\*\* Bewertung und Klassifizierung von Notrufen, einschließlich der Priorisierung des Einsatzes von Polizei, Feuerwehr, + + medizinischer Hilfe und dringenden Patiententriage-Diensten. + +\*\*-\*\* Risikobewertung und Preisgestaltung in der Kranken- und Lebensversicherung. + + + +\*\*Strafverfolgung:\*\* + + + +\*\*-\*\* KI-Systeme, mit denen das Risiko einer Person, Opfer einer Straftat zu werden, bewertet wird. + +\*\*-\*\* Lügendetektoren (Polyographen). + +\*\*-\*\* Bewertung der Zuverlässigkeit von Beweismitteln im Rahmen von strafrechtlichen Ermittlungen oder Verfolgungen. + +\*\*-\*\* Bewertung des Risikos einer Person, eine Straftat oder eine erneute Straftat zu begehen, sofern dies nicht ausschließlich auf + + Profiling oder der Bewertung von Persönlichkeitsmerkmalen oder vergangenem kriminellen Verhalten basiert. + +\*\*-\*\* Profiling im Rahmen der Aufdeckung, Ermittlung oder Verfolgung von Straftaten. + + + +\*\*Migration, Asyl und Grenzkontrolle:\*\* + + + +\*\*-\*\* Lügendetektoren (Polyographen). + +\*\*-\*\* Bewertungen von illegaler Migration oder Gesundheitsrisiken. + +\*\*-\*\* Prüfung von Asyl-, Visa- und Aufenthaltstitelanträgen sowie damit verbundenen Beschwerden bezüglich der Berechtigung. + +\*\*-\*\* Erkennung, Wiedererkennung oder Identifizierung von Personen, ausgenommen die Überprüfung von Reisedokumenten. + + + +\*\*Rechtspflege und demokratische Prozesse:\*\* + + + +\*\*-\*\* KI-Systeme, die bei der Recherche und Auslegung von Sachverhalten und der Anwendung des Rechts auf konkrete Sachverhalte oder + + bei alternativen Streitbeilegungsverfahren eingesetzt werden. + +\*\*-\*\* Beeinflussung des Ausgangs von Wahlen und Referenden oder des Stimmverhaltens, ausgenommen Ergebnisse, die nicht direkt + + mit Menschen interagieren, wie Tools zur Organisation, Optimierung und Strukturierung politischer Kampagnen. + + + + + +\## Allgemein verwendbare KI (General Purpose AI – GPAI) (Kapitel V) + + + +\*\*GPAI-Modell\*\* bezeichnet ein KI-Modell – auch wenn es mit einer großen Datenmenge unter Verwendung von Selbstüberwachung + +in großem Maßstab trainiert wurde –, das eine erhebliche Allgemeingültigkeit aufweist und in der Lage ist, ein breites + +Spektrum unterschiedlicher Aufgaben kompetent auszuführen, unabhängig davon, wie das Modell auf den Markt gebracht wird, + +und das in eine Vielzahl von nachgeschalteten Systemen oder Anwendungen integriert werden kann. Dies gilt nicht für KI-Modelle, + +die vor dem Inverkehrbringen für Forschungs-, Entwicklungs- und Prototyping-Aktivitäten verwendet werden. + + + +\*\*GPAI-System\*\* bezeichnet ein KI-System, das auf einem allgemein verwendbaren KI-Modell basiert und die Fähigkeit besitzt, + +einer Vielzahl von Zwecken zu dienen – sowohl für die direkte Nutzung als auch für die Integration in andere KI-Systeme. + + + +GPAI-Systeme können als hochriskante KI-Systeme verwendet oder in diese integriert werden. Anbieter von GPAI-Systemen + +sollten mit solchen Anbietern hochriskanter KI-Systeme kooperieren, um deren Compliance zu ermöglichen. + + + +\*\*Alle Anbieter von GPAI-Modellen müssen (Art. 53):\*\* + + + +\- Eine \*\*technische Dokumentation\*\* erstellen, einschließlich des Trainings- und Testprozesses und der Evaluationsergebnisse. + +\- \*\*Informationen und Dokumentationen für nachgeschaltete Anbieter\*\* bereitstellen, die das GPAI-Modell in ihr eigenes KI-System + + integrieren möchten, damit diese die Fähigkeiten und Grenzen verstehen und in der Lage sind, die Vorschriften einzuhalten. + +\- Eine Strategie zur \*\*Einhaltung der Urheberrechtsrichtlinie\*\* festlegen. + +\- Eine \*\*hinreichend detaillierte Zusammenfassung der für das Training des GPAI-Modells verwendeten Inhalte\*\* veröffentlichen. + + + +\*\*Modelle mit freier und offener Lizenz\*\* – deren Parameter, einschließlich Gewichtungen, Modellarchitektur und Modellnutzung, + +öffentlich zugänglich sind und den Zugriff, die Nutzung, die Änderung und die Verbreitung des Modells erlauben – müssen nur + +die letzten beiden oben genannten Verpflichtungen erfüllen, es sei denn, das quelloffene GPAI-Modell stellt ein systemisches Risiko dar. + + + +\*\*GPAI-Modelle gelten als systemisch, wenn die kumulierte Rechenleistung, die für ihr Training verwendet wurde, größer als $10^{25}$ Floating Point Operations pro Sekunde (FLOPS) ist (Art. 51).\*\* Anbieter müssen der Kommission innerhalb von 2 Wochen mitteilen, wenn ihr Modell dieses Kriterium erfüllt (Art. 52). Der Anbieter kann Argumente dafür vorbringen, dass sein Modell trotz Erfüllung der Kriterien keine systemischen Risiken aufweist. Die Kommission kann von sich aus oder auf eine qualifizierte Warnung des wissenschaftlichen Gremiums unabhängiger Experten hin entscheiden, dass ein Modell über Fähigkeiten mit hoher Auswirkung verfügt, was es systemisch macht. + + + +Zusätzlich zu den vier oben genannten Verpflichtungen müssen Anbieter von GPAI-Modellen mit systemischem Risiko auch (Art. 55): + + + +\- \*\*Modellevaluierungen\*\* durchführen, einschließlich der Durchführung und Dokumentation von \*\*Adversarial Testing\*\* zur + + Identifizierung und Minderung systemischer Risiken. + +\- Mögliche \*\*systemische Risiken und deren Quellen bewerten und mindern\*\*. + +\- Schwerwiegende Vorfälle und mögliche Korrekturmaßnahmen ohne ungebührliche Verzögerung \*\*nachverfolgen, dokumentieren und an das + + KI-Büro\*\* sowie die zuständigen nationalen Behörden melden. + +\- Ein angemessenes Niveau an \*\*Cybersicherheitsschutz\*\* gewährleisten. + + + +Alle Anbieter von GPAI-Modellen können ihre Compliance nachweisen, wenn sie sich freivoller an Verhaltenskodizes (Codes of Practice) + +halten, bis harmonisierte europäische Normen veröffentlicht werden. Die Einhaltung dieser Normen führt zu einer + +Konformitätsvermutung (Art. 56). Anbieter, die sich nicht an Verhaltenskodizes halten, müssen der Kommission \*\*alternative angemessene + +Mittel zur Einhaltung\*\* zur Genehmigung vorlegen. + + + +\*\*Verhaltenskodizes (Codes of Practice) (Art. 56)\*\* + + + +\- Werden internationale Ansätze berücksichtigen. + +\- Werden die oben genannten Verpflichtungen abdecken, sind aber nicht zwingend darauf beschränkt. Dies betrifft insbesondere die + + relevanten Informationen für die technische Dokumentation für Behörden und nachgeschaltete Anbieter, die Identifizierung + + von Art und Wesen systemischer Risiken und ihrer Quellen sowie die Modalitäten des Risikomanagements unter Berücksichtigung + + spezifischer Herausforderungen bei der Bewältigung von Risiken, da diese entlang der Wertschöpfungskette entstehen und sich konkretisieren können. + +\- Das KI-Büro kann Anbieter von GPAI-Modellen und zuständige nationale Behörden zur Teilnahme an der Ausarbeitung der Kodizes + + einladen, während die Zivilgesellschaft, die Industrie, die Wissenschaft, nachgeschaltete Anbieter und unabhängige Experten + + den Prozess unterstützen können. + + + +\## Governance (Kapitel VI) + + + +\- Das KI-Büro (AI Office) wird innerhalb der Kommission eingerichtet, um die effektive Umsetzung und Einhaltung der Vorschriften durch + + Anbieter von GPAI-Modellen zu überwachen (Art. 64). + +\- Nachgeschaltete Anbieter können beim KI-Büro eine Beschwerde bezüglich Verstößen von vorgeschalteten Anbietern einreichen (Art. 89). + +\- Das KI-Büro kann Evaluierungen des GPAI-Modells durchführen, um (Art. 92): + + o die Compliance zu bewerten, wenn die im Rahmen seiner Auskunftsrechte gesammelten Informationen nicht ausreichen. + + o systemische Risiken zu untersuchen, insbesondere nach einem qualifizierten Bericht des wissenschaftlichen Gremiums + + unabhängiger Experten (Art. 90). + + + +\## Zeitpläne + + + +Nach dem Inkrafttreten wird das KI-Gesetz zu folgenden Fristen anwendbar sein: + + + +\- 6 Monate für verbotene KI-Systeme. + +\- 12 Monate für GPAI. + +\- 24 Monate für hochriskante KI-Systeme unter Anhang III. + +\- 36 Monate für hochriskante KI-Systeme unter Anhang I. + +Verhaltenskodizes müssen 9 Monate nach dem Inkrafttreten fertiggestellt sein. diff --git a/addons/godot_llama/demo/documents/1.md b/addons/godot_llama/demo/documents/1.md new file mode 100644 index 0000000..35899b7 --- /dev/null +++ b/addons/godot_llama/demo/documents/1.md @@ -0,0 +1,3355 @@ +### VERORDNUNG (EU) 2024/1689 DES EUROPÄISCHEN PARLAMENTS UND DES RATES + + +vom 13. Juni 2024 + + +zur Festlegung harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der +Verordnungen (EG) Nr. 300/2008, (EU) Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) +2018/1139 und (EU) 2019/2144 sowie der Richtlinien 2014/90/EU, (EU) 2016/797 und (EU) +2020/1828 (Verordnung über künstliche Intelligenz) + + +(Text von Bedeutung für den EWR) + + +DAS EUROPÄISCHE PARLAMENT UND DER RAT DER EUROPÄISCHEN UNION — + + +gestützt auf den Vertrag über die Arbeitsweise der Europäischen Union, insbesondere auf die Artikel 16 und 114, + + +auf Vorschlag der Europäischen Kommission, + + +nach Zuleitung des Entwurfs des Gesetzgebungsakts an die nationalen Parlamente, + + +nach Stellungnahme des Europäischen Wirtschafts- und Sozialausschusses (^1 ), + + +nach Stellungnahme der Europäischen Zentralbank (^2 ), + + +nach Stellungnahme des Ausschusses der Regionen (^3 ), + + +gemäß dem ordentlichen Gesetzgebungsverfahren (^4 ), + + +in Erwägung nachstehender Gründe: + + +(1) Zweck dieser Verordnung ist es, das Funktionieren des Binnenmarkts zu verbessern, indem ein einheitlicher +Rechtsrahmen insbesondere für die Entwicklung, das Inverkehrbringen, die Inbetriebnahme und die Verwendung +von Systemen künstlicher Intelligenz (KI-Systeme) in der Union im Einklang mit den Werten der Union festgelegt +wird, um die Einführung von menschenzentrierter und vertrauenswürdiger künstlicher Intelligenz (KI) zu fördern +und gleichzeitig ein hohes Schutzniveau in Bezug auf Gesundheit, Sicherheit und der in der Charta der Grundrechte +der Europäischen Union („Charta“) verankerten Grundrechte, einschließlich Demokratie, Rechtsstaatlichkeit und +Umweltschutz, sicherzustellen, den Schutz vor schädlichen Auswirkungen von KI-Systemen in der Union zu +gewährleisten und gleichzeitig die Innovation zu unterstützen. Diese Verordnung gewährleistet den grenzü- +berschreitenden freien Verkehr KI-gestützter Waren und Dienstleistungen, wodurch verhindert wird, dass die +Mitgliedstaaten die Entwicklung, Vermarktung und Verwendung von KI-Systemen beschränken, sofern dies nicht +ausdrücklich durch diese Verordnung erlaubt wird. + + +(2) Diese Verordnung sollte im Einklang mit den in der Charta verankerten Werten der Union angewandt werden, den +Schutz von natürlichen Personen, Unternehmen, Demokratie und Rechtsstaatlichkeit sowie der Umwelt erleichtern +und gleichzeitig Innovation und Beschäftigung fördern und der Union eine Führungsrolle bei der Einführung +vertrauenswürdiger KI verschaffen. + + +(3) KI-Systeme können problemlos in verschiedenen Bereichen der Wirtschaft und Gesellschaft, auch grenzü- +berschreitend, eingesetzt werden und in der gesamten Union verkehren. Einige Mitgliedstaaten haben bereits die +Verabschiedung nationaler Vorschriften in Erwägung gezogen, damit KI vertrauenswürdig und sicher ist und im +Einklang mit den Grundrechten entwickelt und verwendet wird. Unterschiedliche nationale Vorschriften können zu +einer Fragmentierung des Binnenmarkts führen und können die Rechtssicherheit für Akteure, die KI-Systeme +entwickeln, einführen oder verwenden, beeinträchtigen. Daher sollte in der gesamten Union ein einheitlich hohes +Schutzniveau sichergestellt werden, um eine vertrauenswürdige KI zu erreichen, wobei Unterschiede, die den freien +Verkehr, Innovationen, den Einsatz und die Verbreitung von KI-Systemen und damit zusammenhängenden + + +Amtsblatt +der Europäischen Union + +### DE + + +Reihe L + +## 2024/1689 12.7. + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 1/ + + +(^1 ) ABl. C 517 vom 22.12.2021, S. 56. +(^2 ) ABl. C 115 vom 11.3.2022, S. 5. +(^3 ) ABl. C 97 vom 28.2.2022, S. 60. +(^4 ) Standpunkt des Europäischen Parlaments vom 13. März 2024 (noch nicht im Amtsblatt veröffentlicht) und Beschluss des Rates vom + +21. Mai 2024. + + + +Produkten und Dienstleistungen im Binnenmarkt behindern, vermieden werden sollten, indem den Akteuren +einheitliche Pflichten auferlegt werden und der gleiche Schutz der zwingenden Gründe des Allgemeininteresses und +der Rechte von Personen im gesamten Binnenmarkt auf der Grundlage des Artikels 114 des Vertrags über die +Arbeitsweise der Europäischen Union (AEUV) gewährleistet wird. Soweit diese Verordnung konkrete Vorschriften +zum Schutz von Einzelpersonen im Hinblick auf die Verarbeitung personenbezogener Daten enthält, mit denen die +Verwendung von KI-Systemen zur biometrischen Fernidentifizierung zu Strafverfolgungszwecken, die Verwendung +von KI-Systemen für die Risikobewertung natürlicher Personen zu Strafverfolgungszwecken und die Verwendung +von KI-Systemen zur biometrischen Kategorisierung zu Strafverfolgungszwecken eingeschränkt wird, ist es +angezeigt, diese Verordnung in Bezug auf diese konkreten Vorschriften auf Artikel 16 AEUV zu stützen. Angesichts +dieser konkreten Vorschriften und des Rückgriffs auf Artikel 16 AEUV ist es angezeigt, den Europäischen +Datenschutzausschuss zu konsultieren. + + +(4) KI bezeichnet eine Reihe von Technologien, die sich rasant entwickeln und zu vielfältigem Nutzen für Wirtschaft, +Umwelt und Gesellschaft über das gesamte Spektrum industrieller und gesellschaftlicher Tätigkeiten hinweg +beitragen. Durch die Verbesserung der Vorhersage, die Optimierung der Abläufe, Ressourcenzuweisung und die +Personalisierung digitaler Lösungen, die Einzelpersonen und Organisationen zur Verfügung stehen, kann die +Verwendung von KI Unternehmen wesentliche Wettbewerbsvorteile verschaffen und zu guten Ergebnissen für +Gesellschaft und Umwelt führen, beispielsweise in den Bereichen Gesundheitsversorgung, Landwirtschaft, +Lebensmittelsicherheit, allgemeine und berufliche Bildung, Medien, Sport, Kultur, Infrastrukturmanagement, +Energie, Verkehr und Logistik, öffentliche Dienstleistungen, Sicherheit, Justiz, Ressourcen- und Energieeffizienz, +Umweltüberwachung, Bewahrung und Wiederherstellung der Biodiversität und der Ökosysteme sowie Klimaschutz +und Anpassung an den Klimawandel. + + +(5) Gleichzeitig kann KI je nach den Umständen ihrer konkreten Anwendung und Nutzung sowie der technologischen +Entwicklungsstufe Risiken mit sich bringen und öffentliche Interessen und grundlegende Rechte schädigen, die durch +das Unionsrecht geschützt sind. Ein solcher Schaden kann materieller oder immaterieller Art sein, einschließlich +physischer, psychischer, gesellschaftlicher oder wirtschaftlicher Schäden. + + +(6) Angesichts der großen Auswirkungen, die KI auf die Gesellschaft haben kann, und der Notwendigkeit, Vertrauen +aufzubauen, ist es von entscheidender Bedeutung, dass KI und ihr Regulierungsrahmen im Einklang mit den in +Artikel 2 des Vertrags über die Europäische Union (EUV) verankerten Werten der Union, den in den Verträgen und, +nach Artikel 6 EUV, der Charta verankerten Grundrechten und -freiheiten entwickelt werden. Voraussetzung sollte +sein, dass KI eine menschenzentrierte Technologie ist. Sie sollte den Menschen als Instrument dienen und +letztendlich das menschliche Wohlergehen verbessern. + + +(7) Um ein einheitliches und hohes Schutzniveau in Bezug auf öffentliche Interessen im Hinblick auf Gesundheit, +Sicherheit und Grundrechte zu gewährleisten, sollten für alle Hochrisiko-KI-Systeme gemeinsame Vorschriften +festgelegt werden. Diese Vorschriften sollten mit der Charta im Einklang stehen, nichtdiskriminierend sein und mit +den internationalen Handelsverpflichtungen der Union vereinbar sein. Sie sollten auch die Europäische Erklärung zu +den digitalen Rechten und Grundsätzen für die digitale Dekade und die Ethikleitlinien für vertrauenswürdige KI der +hochrangigen Expertengruppe für künstliche Intelligenz berücksichtigen. + + +(8) Daher ist ein Rechtsrahmen der Union mit harmonisierten Vorschriften für KI erforderlich, um die Entwicklung, +Verwendung und Verbreitung von KI im Binnenmarkt zu fördern und gleichzeitig ein hohes Schutzniveau in Bezug +auf öffentliche Interessen wie etwa Gesundheit und Sicherheit und den Schutz der durch das Unionsrecht +anerkannten und geschützten Grundrechte, einschließlich der Demokratie, der Rechtsstaatlichkeit und des +Umweltschutzes, zu gewährleisten. Zur Umsetzung dieses Ziels sollten Vorschriften für das Inverkehrbringen, die +Inbetriebnahme und die Verwendung bestimmter KI-Systeme festgelegt werden, um das reibungslose Funktionieren +des Binnenmarkts zu gewährleisten, sodass diesen Systemen der Grundsatz des freien Waren- und Dienst- +leistungsverkehrs zugutekommen kann. Diese Regeln sollten klar und robust sein, um die Grundrechte zu schützen, +neue innovative Lösungen zu unterstützen und ein europäisches Ökosystem öffentlicher und privater Akteure zu +ermöglichen, die KI-Systeme im Einklang mit den Werten der Union entwickeln, und um das Potenzial des digitalen +Wandels in allen Regionen der Union zu erschließen. Durch die Festlegung dieser Vorschriften sowie durch +Maßnahmen zur Unterstützung der Innovation mit besonderem Augenmerk auf kleinen und mittleren Unternehmen +(KMU), einschließlich Start-up-Unternehmen, unterstützt diese Verordnung das vom Europäischen Rat formulierte +Ziel, das europäische menschenzentrierte KI-Konzept zu fördern und bei der Entwicklung einer sicheren, +vertrauenswürdigen und ethisch vertretbaren KI weltweit eine Führungsrolle einzunehmen (^5 ), und sorgt für den vom +Europäischen Parlament ausdrücklich geforderten Schutz von Ethikgrundsätzen (^6 ). + +# DE ABl. L vom 12.7. + +2/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^5 ) Europäischer Rat, Außerordentliche Tagung des Europäischen Rates (1. und 2. Oktober 2020) – Schlussfolgerungen, EUCO 13/20, +2020, S. 6. +(^6 ) Entschließung des Europäischen Parlaments vom 20. Oktober 2020 mit Empfehlungen an die Kommission zu dem Rahmen für die +ethischen Aspekte von künstlicher Intelligenz, Robotik und damit zusammenhängenden Technologien, 2020/2012 (INL). + + + +(9) Es sollten harmonisierte Vorschriften für das Inverkehrbringen, die Inbetriebnahme und die Verwendung von +Hochrisiko-KI-Systemen im Einklang mit der Verordnung (EG) Nr. 765/2008 des Europäischen Parlaments und des +Rates (^7 ), dem Beschluss Nr. 768/2008/EG des Europäischen Parlaments und des Rates (^8 ) und der Verordnung (EU) +2019/1020 des Europäischen Parlaments und des Rates (^9 ) („neuer Rechtsrahmen“) festgelegt werden. Die in dieser +Verordnung festgelegten harmonisierten Vorschriften sollten in allen Sektoren gelten und sollten im Einklang mit +dem neuen Rechtsrahmen bestehendes Unionsrecht, das durch diese Verordnung ergänzt wird, unberührt lassen, +insbesondere in den Bereichen Datenschutz, Verbraucherschutz, Grundrechte, Beschäftigung, Arbeitnehmerschutz +und Produktsicherheit. Daher bleiben alle Rechte und Rechtsbehelfe, die für Verbraucher und andere Personen, auf +die sich KI-Systeme negativ auswirken können, gemäß diesem Unionsrecht vorgesehen sind, auch in Bezug auf einen +möglichen Schadenersatz gemäß der Richtlinie 85/374/EWG des Rates (^10 ) unberührt und in vollem Umfang +anwendbar. Darüber hinaus und unter Einhaltung des Unionsrechts in Bezug auf Beschäftigungs- und +Arbeitsbedingungen, einschließlich des Gesundheitsschutzes und der Sicherheit am Arbeitsplatz sowie der +Beziehungen zwischen Arbeitgebern und Arbeitnehmern sollte diese Verordnung daher — was Beschäftigung und +den Schutz von Arbeitnehmern angeht — das Unionsrecht im Bereich der Sozialpolitik und die nationalen +Arbeitsrechtsvorschriften nicht berühren. Diese Verordnung sollte auch die Ausübung der in den Mitgliedstaaten und +auf Unionsebene anerkannten Grundrechte, einschließlich des Rechts oder der Freiheit zum Streik oder zur +Durchführung anderer Maßnahmen, die im Rahmen der spezifischen Systeme der Mitgliedstaaten im Bereich der +Arbeitsbeziehungen vorgesehen sind, sowie das Recht, im Einklang mit nationalem Recht Kollektivvereinbarungen +auszuhandeln, abzuschließen und durchzusetzen oder kollektive Maßnahmen zu ergreifen, nicht beeinträchtigen. +Diese Verordnung sollte die in einer Richtlinie des Europäischen Parlaments und des Rates zur Verbesserung der +Arbeitsbedingungen in der Plattformarbeit enthaltenen Bestimmungen nicht berühren. Darüber hinaus zielt diese +Verordnung darauf ab, die Wirksamkeit dieser bestehenden Rechte und Rechtsbehelfe zu stärken, indem bestimmte +Anforderungen und Pflichten, auch in Bezug auf die Transparenz, die technische Dokumentation und das Führen +von Aufzeichnungen von KI-Systemen, festgelegt werden. Ferner sollten die in dieser Verordnung festgelegten +Pflichten der verschiedenen Akteure, die an der KI-Wertschöpfungskette beteiligt sind, unbeschadet der nationalen +Rechtsvorschriften unter Einhaltung des Unionsrechts angewandt werden, wodurch die Verwendung bestimmter +KI-Systeme begrenzt wird, wenn diese Rechtsvorschriften nicht in den Anwendungsbereich dieser Verordnung fallen +oder mit ihnen andere legitime Ziele des öffentlichen Interesses verfolgt werden als in dieser Verordnung. So sollten +etwa die nationalen arbeitsrechtlichen Vorschriften und die Rechtsvorschriften zum Schutz Minderjähriger, nämlich +Personen unter 18 Jahren, unter Berücksichtigung der Allgemeinen Bemerkung Nr. 25 (2021) des UNCRC über die +Rechte der Kinder im digitalen Umfeld von dieser Verordnung unberührt bleiben, sofern sie nicht spezifisch +KI-Systeme betreffen und mit ihnen andere legitime Ziele des öffentlichen Interesses verfolgt werden. + + +(10) Das Grundrecht auf Schutz personenbezogener Daten wird insbesondere durch die Verordnungen (EU) 2016/679 (^11 ) +und (EU) 2018/1725 (^12 ) des Europäischen Parlaments und des Rates und die Richtlinie (EU) 2016/680 des +Europäischen Parlaments und des Rates (^13 ) gewahrt. Die Richtlinie 2002/58/EG des Europäischen Parlaments und +des Rates (^14 ) schützt darüber hinaus die Privatsphäre und die Vertraulichkeit der Kommunikation, auch durch +Bedingungen für die Speicherung personenbezogener und nicht personenbezogener Daten auf Endgeräten und den +Zugang dazu. Diese Rechtsakte der Union bieten die Grundlage für eine nachhaltige und verantwortungsvolle +Datenverarbeitung, auch wenn Datensätze eine Mischung aus personenbezogenen und nicht-personenbezogenen +Daten enthalten. Diese Verordnung soll die Anwendung des bestehenden Unionsrechts zur Verarbeitung +personenbezogener Daten, einschließlich der Aufgaben und Befugnisse der unabhängigen Aufsichtsbehörden, die +für die Überwachung der Einhaltung dieser Instrumente zuständig sind, nicht berühren. Sie lässt ferner die Pflichten +der Anbieter und Betreiber von KI-Systemen in ihrer Rolle als Verantwortliche oder Auftragsverarbeiter, die sich aus +dem Unionsrecht oder dem nationalen Recht über den Schutz personenbezogener Daten ergeben, unberührt, soweit +die Konzeption, die Entwicklung oder die Verwendung von KI-Systemen die Verarbeitung personenbezogener Daten + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 3/ + + +(^7 ) Verordnung (EG) Nr. 765/2008 des Europäischen Parlaments und des Rates vom 9. Juli 2008 über die Vorschriften für die +Akkreditierung und zur Aufhebung der Verordnung (EWG) Nr. 339/93 des Rates (ABl. L 218 vom 13.8.2008, S. 30). +(^8 ) Beschluss Nr. 768/2008/EG des Europäischen Parlaments und des Rates vom 9. Juli 2008 über einen gemeinsamen Rechtsrahmen +für die Vermarktung von Produkten und zur Aufhebung des Beschlusses 93/465/EWG des Rates (ABl. L 218 vom 13.8.2008, S. 82). +(^9 ) Verordnung (EU) 2019/1020 des Europäischen Parlaments und des Rates vom 20. Juni 2019 über Marktüberwachung und die +Konformität von Produkten sowie zur Änderung der Richtlinie 2004/42/EG und der Verordnungen (EG) Nr. 765/2008 und (EU) +Nr. 305/2011 (ABl. L 169 vom 25.6.2019, S. 1). +(^10 ) Richtlinie 85/374/EWG des Rates vom 25. Juli 1985 zur Angleichung der Rechts- und Verwaltungsvorschriften der Mitgliedstaaten +über die Haftung für fehlerhafte Produkte (ABl. L 210 vom 7.8.1985, S. 29). +(^11 ) Verordnung (EU) 2016/679 des Europäischen Parlaments und des Rates vom 27. April 2016 zum Schutz natürlicher Personen bei +der Verarbeitung personenbezogener Daten, zum freien Datenverkehr und zur Aufhebung der Richtlinie 95/46/EG (Datenschutz- +Grundverordnung) (ABl. L 119 vom 4.5.2016, S. 1). +(^12 ) Verordnung (EU) 2018/1725 des Europäischen Parlaments und des Rates vom 23. Oktober 2018 zum Schutz natürlicher Personen +bei der Verarbeitung personenbezogener Daten durch die Organe, Einrichtungen und sonstigen Stellen der Union, zum freien +Datenverkehr und zur Aufhebung der Verordnung (EG) Nr. 45/2001 und des Beschlusses Nr. 1247/2002/EG (ABl. L 295 vom +21.11.2018, S. 39). +(^13 ) Richtlinie (EU) 2016/680 des Europäischen Parlaments und des Rates vom 27. April 2016 zum Schutz natürlicher Personen bei der +Verarbeitung personenbezogener Daten durch die zuständigen Behörden zum Zwecke der Verhütung, Ermittlung, Aufdeckung oder +Verfolgung von Straftaten oder der Strafvollstreckung sowie zum freien Datenverkehr und zur Aufhebung des Rahmenbeschlusses +2008/977/JI des Rates (ABl. L 119 vom 4.5.2016, S. 89). +(^14 ) Richtlinie 2002/58/EG des Europäischen Parlaments und des Rates vom 12. Juli 2002 über die Verarbeitung personenbezogener +Daten und den Schutz der Privatsphäre in der elektronischen Kommunikation (Datenschutzrichtlinie für elektronische +Kommunikation) (ABl. L 201 vom 31.7.2002, S. 37). + + + +umfasst. Ferner sollte klargestellt werden, dass betroffene Personen weiterhin über alle Rechte und Garantien +verfügen, die ihnen durch dieses Unionsrecht gewährt werden, einschließlich der Rechte im Zusammenhang mit der +ausschließlich automatisierten Entscheidungsfindung im Einzelfall und dem Profiling. Harmonisierte Vorschriften für +das Inverkehrbringen, die Inbetriebnahme und die Verwendung von KI-Systemen, die im Rahmen dieser Verordnung +festgelegt werden, sollten die wirksame Durchführung erleichtern und die Ausübung der Rechte betroffener Personen +und anderer Rechtsbehelfe, die im Unionsrecht über den Schutz personenbezogener Daten und anderer Grundrechte +garantiert sind, ermöglichen. + + +(11) Diese Verordnung sollte die Bestimmungen über die Verantwortlichkeit der Anbieter von Vermittlungsdiensten +gemäß der Verordnung (EU) 2022/2065 des Europäischen Parlaments und des Rates (^15 ) unberührt lassen. + + +(12) Der Begriff „KI-System“ in dieser Verordnung sollte klar definiert und eng mit der Tätigkeit internationaler +Organisationen abgestimmt werden, die sich mit KI befassen, um Rechtssicherheit, mehr internationale Konvergenz +und hohe Akzeptanz sicherzustellen und gleichzeitig Flexibilität zu bieten, um den raschen technologischen +Entwicklungen in diesem Bereich Rechnung zu tragen. Darüber hinaus sollte die Begriffsbestimmung auf den +wesentlichen Merkmalen der KI beruhen, die sie von einfacheren herkömmlichen Softwaresystemen und +Programmierungsansätzen abgrenzen, und sollte sich nicht auf Systeme beziehen, die auf ausschließlich von +natürlichen Personen definierten Regeln für das automatische Ausführen von Operationen beruhen. Ein wesentliches +Merkmal von KI-Systemen ist ihre Fähigkeit, abzuleiten. Diese Fähigkeit bezieht sich auf den Prozess der Erzeugung +von Ausgaben, wie Vorhersagen, Inhalte, Empfehlungen oder Entscheidungen, die physische und digitale +Umgebungen beeinflussen können, sowie auf die Fähigkeit von KI-Systemen, Modelle oder Algorithmen oder +beides aus Eingaben oder Daten abzuleiten. Zu den Techniken, die während der Gestaltung eines KI-Systems das +Ableiten ermöglichen, gehören Ansätze für maschinelles Lernen, wobei aus Daten gelernt wird, wie bestimmte Ziele +erreicht werden können, sowie logik- und wissensgestützte Konzepte, wobei aus kodierten Informationen oder +symbolischen Darstellungen der zu lösenden Aufgabe abgeleitet wird. Die Fähigkeit eines KI-Systems, abzuleiten, +geht über die einfache Datenverarbeitung hinaus, indem Lern-, Schlussfolgerungs- und Modellierungsprozesse +ermöglicht werden. Die Bezeichnung „maschinenbasiert“ bezieht sich auf die Tatsache, dass KI-Systeme von +Maschinen betrieben werden. Durch die Bezugnahme auf explizite oder implizite Ziele wird betont, dass KI-Systeme +gemäß explizit festgelegten Zielen oder gemäß impliziten Zielen arbeiten können. Die Ziele des KI-Systems können +sich — unter bestimmten Umständen — von der Zweckbestimmung des KI-Systems unterscheiden. Für die Zwecke +dieser Verordnung sollten Umgebungen als Kontexte verstanden werden, in denen KI-Systeme betrieben werden, +während die von einem KI-System erzeugten Ausgaben verschiedene Funktionen von KI-Systemen widerspiegeln, +darunter Vorhersagen, Inhalte, Empfehlungen oder Entscheidungen. KI-Systeme sind mit verschiedenen Graden der +Autonomie ausgestattet, was bedeutet, dass sie bis zu einem gewissen Grad unabhängig von menschlichem Zutun +agieren und in der Lage sind, ohne menschliches Eingreifen zu arbeiten. Die Anpassungsfähigkeit, die ein KI-System +nach Inbetriebnahme aufweisen könnte, bezieht sich auf seine Lernfähigkeit, durch sie es sich während seiner +Verwendung verändern kann. KI-Systeme können eigenständig oder als Bestandteil eines Produkts verwendet +werden, unabhängig davon, ob das System physisch in das Produkt integriert (eingebettet) ist oder der Funktion des +Produkts dient, ohne darin integriert zu sein (nicht eingebettet). + + +(13) Der in dieser Verordnung verwendete Begriff „Betreiber“ sollte als eine natürliche oder juristische Person, +einschließlich Behörden, Einrichtungen oder sonstiger Stellen, die ein KI-System unter ihrer Befugnis verwenden, +verstanden werden, es sei denn das KI-System wird im Rahmen einer persönlichen und nicht beruflichen Tätigkeit +verwendet. Je nach Art des KI-Systems kann sich dessen Verwendung auf andere Personen als den Betreiber +auswirken. + + +(14) Der in dieser Verordnung verwendete Begriff „biometrische Daten“ sollte im Sinne des Begriffs „biometrische Daten“ +nach Artikel 4 Nummer 14 der Verordnung (EU) 2016/679, Artikel 3 Nummer 18 der Verordnung (EU) 2018/ +und Artikel 3 Nummer 13 der Richtlinie (EU) 2016/680 ausgelegt werden. Biometrische Daten können die +Authentifizierung, Identifizierung oder Kategorisierung natürlicher Personen und die Erkennung von Emotionen +natürlicher Personen ermöglichen. + + +(15) Der Begriff „biometrische Identifizierung“ sollte gemäß dieser Verordnung als automatische Erkennung physischer, +physiologischer und verhaltensbezogener menschlicher Merkmale wie Gesicht, Augenbewegungen, Körperform, +Stimme, Prosodie, Gang, Haltung, Herzfrequenz, Blutdruck, Geruch, charakteristischer Tastenanschlag zum Zweck +der Überprüfung der Identität einer Person durch Abgleich der biometrischen Daten der entsprechenden Person mit +den in einer Datenbank gespeicherten biometrischen Daten definiert werden, unabhängig davon, ob die Einzelperson +ihre Zustimmung dazu gegeben hat oder nicht. Dies umfasst keine KI-Systeme, die bestimmungsgemäß für die +biometrische Verifizierung, wozu die Authentifizierung gehört, verwendet werden sollen, deren einziger Zweck +darin besteht, zu bestätigen, dass eine bestimmte natürliche Person die Person ist, für die sie sich ausgibt, sowie zur +Bestätigung der Identität einer natürlichen Person zu dem alleinigen Zweck Zugang zu einem Dienst zu erhalten, ein +Gerät zu entriegeln oder Sicherheitszugang zu Räumlichkeiten zu erhalten. + +# DE ABl. L vom 12.7. + +4/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^15 ) Verordnung (EU) 2022/2065 des Europäischen Parlaments und des Rates vom 19. Oktober 2022 über einen Binnenmarkt für +digitale Dienste und zur Änderung der Richtlinie 2000/31/EG (Gesetz über digitale Dienste) (ABl. L 277 vom 27.10.2022, S. 1). + + + +(16) Der Begriff „biometrischen Kategorisierung“ sollte im Sinne dieser Verordnung die Zuordnung natürlicher Personen +auf der Grundlage ihrer biometrischen Daten zu bestimmten Kategorien bezeichnen. Diese bestimmten Kategorien +können Aspekte wie Geschlecht, Alter, Haarfarbe, Augenfarbe, Tätowierungen, Verhaltens- oder Persönlichkeits- +merkmale, Sprache, Religion, Zugehörigkeit zu einer nationalen Minderheit, sexuelle oder politische Ausrichtung +betreffen. Dies gilt nicht für Systeme zur biometrischen Kategorisierung, bei denen es sich um eine reine +Nebenfunktion handelt, die untrennbar mit einem anderen kommerziellen Dienst verbunden ist, d. h. die Funktion +kann aus objektiven technischen Gründen nicht ohne den Hauptdienst verwendet werden und die Integration dieses +Merkmals oder dieser Funktion dient nicht dazu, die Anwendbarkeit der Vorschriften dieser Verordnung zu +umgehen. Beispielsweise könnten Filter zur Kategorisierung von Gesichts- oder Körpermerkmalen, die auf +Online-Marktplätzen verwendet werden, eine solche Nebenfunktion darstellen, da sie nur im Zusammenhang mit +der Hauptdienstleistung verwendet werden können, die darin besteht, ein Produkt zu verkaufen, indem es dem +Verbraucher ermöglicht wird, zu sehen, wie das Produkt an seiner Person aussieht, und ihm so zu helfen, eine +Kaufentscheidung zu treffen. Filter, die in sozialen Netzwerken eingesetzt werden und Gesichts- oder +Körpermerkmale kategorisieren, um es den Nutzern zu ermöglichen, Bilder oder Videos hinzuzufügen oder zu +verändern, können ebenfalls als Nebenfunktion betrachtet werden, da ein solcher Filter nicht ohne die +Hauptdienstleistung sozialer Netzwerke verwendet werden kann, die in der Weitergabe von Online-Inhalten besteht. + + +(17) Der in dieser Verordnung verwendete Begriff „biometrisches Fernidentifizierungssystem“ sollte funktional definiert +werden als KI-System, das dem Zweck dient, natürliche Personen ohne ihre aktive Einbeziehung in der Regel aus der +Ferne durch Abgleich der biometrischen Daten einer Person mit den in einer Referenzdatenbank gespeicherten +biometrischen Daten zu identifizieren, unabhängig davon, welche Technologie, Verfahren oder Arten biometrischer +Daten dazu verwendet werden. Diese biometrischen Fernidentifizierungssysteme werden in der Regel zur +zeitgleichen Erkennung mehrerer Personen oder ihrer Verhaltensweisen verwendet, um die Identifizierung +natürlicher Personen ohne ihre aktive Einbeziehung erheblich zu erleichtern. Dies umfasst keine KI-Systeme, die +bestimmungsgemäß für die biometrische Verifizierung, wozu die Authentifizierung gehört, verwendet werden +sollen, deren einziger Zweck darin besteht, zu bestätigen, dass eine bestimmte natürliche Person die Person ist, für +die sie sich ausgibt, sowie zur Bestätigung der Identität einer natürlichen Person zu dem alleinigen Zweck Zugang zu +einem Dienst zu erhalten, ein Gerät zu entriegeln oder Sicherheitszugang zu Räumlichkeiten zu erhalten. Diese +Ausnahme wird damit begründet, dass diese Systeme im Vergleich zu biometrischen Fernidentifizierungssystemen, +die zur Verarbeitung biometrischer Daten einer großen Anzahl von Personen ohne ihre aktive Einbeziehung +verwendet werden können, geringfügige Auswirkungen auf die Grundrechte natürlicher Personen haben dürften. Bei +„Echtzeit-Systemen“ erfolgen die Erfassung der biometrischen Daten, der Abgleich und die Identifizierung zeitgleich, +nahezu zeitgleich oder auf jeden Fall ohne erhebliche Verzögerung. In diesem Zusammenhang sollte es keinen +Spielraum für eine Umgehung der Bestimmungen dieser Verordnung über die „Echtzeit-Nutzung“ der betreffenden +KI-Systeme geben, indem kleinere Verzögerungen vorgesehen werden. „Echtzeit-Systeme“ umfassen die Verwendung +von „Live-Material“ oder „Near-live-Material“ wie etwa Videoaufnahmen, die von einer Kamera oder einem anderen +Gerät mit ähnlicher Funktion erzeugt werden. Bei Systemen zur nachträglichen Identifizierung hingegen wurden die +biometrischen Daten schon zuvor erfasst und der Abgleich und die Identifizierung erfolgen erst mit erheblicher +Verzögerung. Dabei handelt es sich um Material wie etwa Bild- oder Videoaufnahmen, die von Video-Ü- +berwachungssystemen oder privaten Geräten vor der Anwendung des Systems auf die betroffenen natürlichen +Personen erzeugt wurden. + + +(18) Der in dieser Verordnung verwendete Begriff „Emotionserkennungssystem“ sollte als ein KI-System definiert werden, +das dem Zweck dient, Emotionen oder Absichten natürlicher Personen auf der Grundlage ihrer biometrischen Daten +festzustellen oder daraus abzuleiten. In diesem Begriff geht es um Emotionen oder Absichten wie Glück, Trauer, Wut, +Überraschung, Ekel, Verlegenheit, Aufregung, Scham, Verachtung, Zufriedenheit und Vergnügen. Dies umfasst nicht +physische Zustände wie Schmerz oder Ermüdung, einschließlich beispielsweise Systeme, die zur Erkennung des +Zustands der Ermüdung von Berufspiloten oder -fahrern eigesetzt werden, um Unfälle zu verhindern. Es geht dabei +auch nicht um die bloße Erkennung offensichtlicher Ausdrucksformen, Gesten und Bewegungen, es sei denn, sie +werden zum Erkennen oder Ableiten von Emotionen verwendet. Bei diesen Ausdrucksformen kann es sich um +einfache Gesichtsausdrücke wie ein Stirnrunzeln oder ein Lächeln oder um Gesten wie Hand-, Arm- oder +Kopfbewegungen oder um die Stimmmerkmale einer Person handeln, wie eine erhobene Stimme oder ein Flüstern. + + +(19) Für die Zwecke dieser Verordnung sollte der Begriff „öffentlich zugänglicher Raum“ so verstanden werden, dass er +sich auf einen einer unbestimmten Anzahl natürlicher Personen zugänglichen physischen Ort bezieht, unabhängig +davon, ob er sich in privatem oder öffentlichem Eigentum befindet, unabhängig von den Tätigkeiten, für die der Ort +verwendet werden kann; dazu zählen Bereiche wie etwa für Gewerbe, etwa Geschäfte, Restaurants, Cafés, für +Dienstleistungen, etwa Banken, berufliche Tätigkeiten, Gastgewerbe, für Sport, etwa Schwimmbäder, Fitnessstudios, +Stadien, für Verkehr, etwa Bus- und U-Bahn-Haltestellen, Bahnhöfe, Flughäfen, Transportmittel, für Unterhaltung, +etwa Kinos, Theater, Museen, Konzert- und Konferenzsäle oder für Freizeit oder Sonstiges, etwa öffentliche Straßen +und Plätze, Parks, Wälder, Spielplätze. Ein Ort sollte auch als öffentlich zugänglich eingestuft werden, wenn der +Zugang, unabhängig von möglichen Kapazitäts- oder Sicherheitsbeschränkungen, bestimmten im Voraus +festgelegten Bedingungen unterliegt, die von einer unbestimmten Anzahl von Personen erfüllt werden können, +etwa durch den Kauf eines Fahrscheins, die vorherige Registrierung oder die Erfüllung eines Mindestalters. +Dahingegen sollte ein Ort nicht als öffentlich zugänglich gelten, wenn der Zugang auf natürliche Personen +beschränkt ist, die entweder im Unionsrecht oder im nationalen Recht, das direkt mit der öffentlichen Sicherheit +zusammenhängt, oder im Rahmen einer eindeutigen Willenserklärung der Person, die die entsprechende Befugnis + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 5/ + + + +über den Ort ausübt, bestimmt und festgelegt werden. Die tatsächliche Zugangsmöglichkeit allein, etwa eine +unversperrte Tür oder ein offenes Zauntor, bedeutet nicht, dass der Ort öffentlich zugänglich ist, wenn aufgrund von +Hinweisen oder Umständen das Gegenteil nahegelegt wird (etwa Schilder, die den Zugang verbieten oder +einschränken). Unternehmens- und Fabrikgelände sowie Büros und Arbeitsplätze, die nur für die betreffenden +Mitarbeiter und Dienstleister zugänglich sein sollen, sind Orte, die nicht öffentlich zugänglich sind. Justizvollzugs- +anstalten und Grenzkontrollbereiche sollten nicht zu den öffentlich zugänglichen Orten zählen. Einige andere +Gebiete können sowohl öffentlich zugängliche als auch nicht öffentlich zugängliche Orte umfassen, etwa die Gänge +eines privaten Wohngebäudes, deren Zugang erforderlich ist, um zu einer Arztpraxis zu gelangen, oder Flughäfen. +Online-Räume werden nicht erfasst, da es sich nicht um physische Räume handelt. Ob ein bestimmter Raum +öffentlich zugänglich ist, sollte jedoch von Fall zu Fall unter Berücksichtigung der Besonderheiten der jeweiligen +individuellen Situation entschieden werden. + + +(20) Um den größtmöglichen Nutzen aus KI-Systemen zu ziehen und gleichzeitig die Grundrechte, Gesundheit und +Sicherheit zu wahren und eine demokratische Kontrolle zu ermöglichen, sollte die KI-Kompetenz Anbieter, Betreiber +und betroffene Personen mit den notwendigen Konzepten ausstatten, um fundierte Entscheidungen über KI-Systeme +zu treffen. Diese Konzepte können in Bezug auf den jeweiligen Kontext unterschiedlich sein und das Verstehen der +korrekten Anwendung technischer Elemente in der Entwicklungsphase des KI-Systems, der bei seiner Verwendung +anzuwendenden Maßnahmen und der geeigneten Auslegung der Ausgaben des KI-Systems umfassen sowie — im +Falle betroffener Personen — das nötige Wissen, um zu verstehen, wie sich mithilfe von KI getroffene +Entscheidungen auf sie auswirken werden. Im Zusammenhang mit der Anwendung dieser Verordnung sollte die +KI-Kompetenz allen einschlägigen Akteuren der KI-Wertschöpfungskette die Kenntnisse vermitteln, die erforderlich +sind, um die angemessene Einhaltung und die ordnungsgemäße Durchsetzung der Verordnung sicherzustellen. +Darüber hinaus könnten die umfassende Umsetzung von KI-Kompetenzmaßnahmen und die Einführung geeigneter +Folgemaßnahmen dazu beitragen, die Arbeitsbedingungen zu verbessern und letztlich die Konsolidierung und den +Innovationspfad vertrauenswürdiger KI in der Union unterstützen. Ein Europäisches Gremium für Künstliche +Intelligenz (im Folgenden „KI-Gremium“) sollte die Kommission dabei unterstützen, KI-Kompetenzinstrumente sowie +die Sensibilisierung und Aufklärung der Öffentlichkeit in Bezug auf die Vorteile, Risiken, Schutzmaßnahmen, Rechte +und Pflichten im Zusammenhang mit der Nutzung von KI-Systeme zu fördern. In Zusammenarbeit mit den +einschlägigen Interessenträgern sollten die Kommission und die Mitgliedstaaten die Ausarbeitung freiwilliger +Verhaltenskodizes erleichtern, um die KI-Kompetenz von Personen, die mit der Entwicklung, dem Betrieb und der +Verwendung von KI befasst sind, zu fördern. + + +(21) Um gleiche Wettbewerbsbedingungen und einen wirksamen Schutz der Rechte und Freiheiten von Einzelpersonen in +der gesamten Union zu gewährleisten, sollten die in dieser Verordnung festgelegten Vorschriften in nicht- +diskriminierender Weise für Anbieter von KI-Systemen — unabhängig davon, ob sie in der Union oder in einem +Drittland niedergelassen sind — und für Betreiber von KI-Systemen, die in der Union niedergelassen sind, gelten. + + +(22) Angesichts ihres digitalen Charakters sollten bestimmte KI-Systeme in den Anwendungsbereich dieser Verordnung +fallen, selbst wenn sie in der Union weder in Verkehr gebracht noch in Betrieb genommen oder verwendet werden. +Dies ist beispielsweise der Fall, wenn ein in der Union niedergelassener Akteur bestimmte Dienstleistungen an einen +in einem Drittland niedergelassenen Akteur im Zusammenhang mit einer Tätigkeit vergibt, die von einem KI-System +ausgeübt werden soll, das als hochriskant einzustufen wäre. Unter diesen Umständen könnte das von dem Akteur in +einem Drittland betriebene KI-System Daten verarbeiten, die rechtmäßig in der Union erhoben und aus der Union +übertragen wurden, und dem vertraglichen Akteur in der Union die aus dieser Verarbeitung resultierende Ausgabe +dieses KI-Systems liefern, ohne dass dieses KI-System dabei in der Union in Verkehr gebracht, in Betrieb genommen +oder verwendet würde. Um die Umgehung dieser Verordnung zu verhindern und einen wirksamen Schutz in der +Union ansässiger natürlicher Personen zu gewährleisten, sollte diese Verordnung auch für Anbieter und Betreiber +von KI-Systemen gelten, die in einem Drittland niedergelassen sind, soweit beabsichtigt wird, die von diesem System +erzeugte Ausgabe in der Union zu verwenden. Um jedoch bestehenden Vereinbarungen und besonderen +Erfordernissen für die künftige Zusammenarbeit mit ausländischen Partnern, mit denen Informationen und +Beweismittel ausgetauscht werden, Rechnung zu tragen, sollte diese Verordnung nicht für Behörden eines Drittlands +und internationale Organisationen gelten, wenn sie im Rahmen der Zusammenarbeit oder internationaler +Übereinkünfte tätig werden, die auf Unionsebene oder nationaler Ebene für die Zusammenarbeit mit der Union oder +den Mitgliedstaaten im Bereich der Strafverfolgung und der justiziellen Zusammenarbeit geschlossen wurden, +vorausgesetzt dass dieses Drittland oder diese internationale Organisationen angemessene Garantien in Bezug auf +den Schutz der Grundrechte und -freiheiten von Einzelpersonen bieten. Dies kann gegebenenfalls Tätigkeiten von +Einrichtungen umfassen, die von Drittländern mit der Wahrnehmung bestimmter Aufgaben zur Unterstützung +dieser Zusammenarbeit im Bereich der Strafverfolgung und der justiziellen Zusammenarbeit betraut wurden. Ein +solcher Rahmen für die Zusammenarbeit oder für Übereinkünfte wurde bilateral zwischen Mitgliedstaaten und +Drittländern oder zwischen der Europäischen Union, Europol und anderen Agenturen der Union und Drittländern +und internationalen Organisationen erarbeitet. Die Behörden, die nach dieser Verordnung für die Aufsicht über die +Strafverfolgungs- und Justizbehörden zuständig sind, sollten prüfen, ob diese Rahmen für die Zusammenarbeit oder +internationale Übereinkünfte angemessene Garantien in Bezug auf den Schutz der Grundrechte und -freiheiten von +Einzelpersonen enthalten. Empfangende nationale Behörden und Organe, Einrichtungen sowie sonstige Stellen der +Union, die diese Ausgaben in der Union verwenden, sind weiterhin dafür verantwortlich, sicherzustellen, dass ihre + +# DE ABl. L vom 12.7. + +6/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Verwendung mit Unionsrecht vereinbar ist. Wenn diese internationalen Übereinkünfte überarbeitet oder wenn +künftig neue Übereinkünfte geschlossen werden, sollten die Vertragsparteien größtmögliche Anstrengungen +unternehmen, um diese Übereinkünfte an die Anforderungen dieser Verordnung anzugleichen. + + +(23) Diese Verordnung sollte auch für Organe, Einrichtungen und sonstige Stellen der Union gelten, wenn sie als Anbieter +oder Betreiber eines KI-Systems auftreten. + + +(24) Wenn und soweit KI-Systeme mit oder ohne Änderungen für Zwecke in den Bereichen Militär, Verteidigung oder +nationale Sicherheit in Verkehr gebracht, in Betrieb genommen oder verwendet werden, sollten sie vom +Anwendungsbereich dieser Verordnung ausgenommen werden, unabhängig von der Art der Einrichtung, die diese +Tätigkeiten ausübt, etwa ob es sich um eine öffentliche oder private Einrichtung handelt. In Bezug auf die Zwecke in +den Bereichen Militär und Verteidigung gründet sich die Ausnahme sowohl auf Artikel 4 Absatz 2 EUV als auch auf +die Besonderheiten der Verteidigungspolitik der Mitgliedstaaten und der in Titel V Kapitel 2 EUV abgedeckten +gemeinsamen Verteidigungspolitik der Union, die dem Völkerrecht unterliegen, was daher den geeigneteren +Rechtsrahmen für die Regulierung von KI-Systemen im Zusammenhang mit der Anwendung tödlicher Gewalt und +sonstigen KI-Systemen im Zusammenhang mit Militär- oder Verteidigungstätigkeiten darstellt. In Bezug auf die +Zwecke im Bereich nationale Sicherheit gründet sich die Ausnahme sowohl auf die Tatsache, dass die nationale +Sicherheit gemäß Artikel 4 Absatz 2 EUV weiterhin in die alleinige Verantwortung der Mitgliedstaaten fällt, als auch +auf die besondere Art und die operativen Bedürfnisse der Tätigkeiten im Bereich der nationalen Sicherheit und der +spezifischen nationalen Vorschriften für diese Tätigkeiten. Wird ein KI-System, das für Zwecke in den Bereichen +Militär, Verteidigung oder nationale Sicherheit entwickelt, in Verkehr gebracht, in Betrieb genommen oder verwendet +wird, jedoch vorübergehend oder ständig für andere Zwecke verwendet, etwa für zivile oder humanitäre Zwecke +oder für Zwecke der Strafverfolgung oder öffentlichen Sicherheit, so würde dieses System in den Anwendungs- +bereich dieser Verordnung fallen. In diesem Fall sollte die Einrichtung, die das KI-System für andere Zwecke als +Zwecke in den Bereichen Militär, Verteidigung oder nationale Sicherheit verwendet, die Konformität des KI-Systems +mit dieser Verordnung sicherstellen, es sei denn, das System entspricht bereits dieser Verordnung. KI-Systeme, die für +einen ausgeschlossenen Zweck, nämlich Militär, Verteidigung oder nationale Sicherheit, und für einen oder mehrere +nicht ausgeschlossene Zwecke, etwa zivile Zwecke oder Strafverfolgungszwecke, in Verkehr gebracht oder in Betrieb +genommen werden, fallen in den Anwendungsbereich dieser Verordnung, und Anbieter dieser Systeme sollten die +Einhaltung dieser Verordnung sicherstellen. In diesen Fällen sollte sich die Tatsache, dass ein KI-System in den +Anwendungsbereich dieser Verordnung fällt, nicht darauf auswirken, dass Einrichtungen, die Tätigkeiten in den +Bereichen nationale Sicherheit, Verteidigung oder Militär ausüben, KI-Systeme für Zwecke in den Bereichen nationale +Sicherheit, Militär und Verteidigung verwenden können, unabhängig von der Art der Einrichtung, die diese +Tätigkeiten ausübt, wobei die Verwendung vom Anwendungsbereich dieser Verordnung ausgenommen ist. Ein +KI-System, das für zivile Zwecke oder Strafverfolgungszwecke in Verkehr gebracht wurde und mit oder ohne +Änderungen für Zwecke in den Bereichen Militär, Verteidigung oder nationale Sicherheit verwendet wird, sollte nicht +in den Anwendungsbereich dieser Verordnung fallen, unabhängig von der Art der Einrichtung, die diese Tätigkeiten +ausübt. + + +(25) Diese Verordnung sollte die Innovation fördern, die Freiheit der Wissenschaft achten und Forschungs- und +Entwicklungstätigkeiten nicht untergraben. Daher müssen KI-Systeme und -Modelle, die eigens für den alleinigen +Zweck der wissenschaftlichen Forschung und Entwicklung entwickelt und in Betrieb genommen werden, vom +Anwendungsbereich der Verordnung ausgenommen werden. Ferner muss sichergestellt werden, dass sich die +Verordnung nicht anderweitig auf Forschungs- und Entwicklungstätigkeiten zu KI-Systemen und -Modellen auswirkt, +bevor diese in Verkehr gebracht oder in Betrieb genommen werden. Hinsichtlich produktorientierter Forschungs-, +Test- und Entwicklungstätigkeiten in Bezug auf KI-Systeme oder -Modelle sollten die Bestimmungen dieser +Verordnung auch nicht vor der Inbetriebnahme oder dem Inverkehrbringen dieser Systeme und Modelle gelten. +Diese Ausnahme berührt weder die Pflicht zur Einhaltung dieser Verordnung, wenn ein KI-System, das in den +Anwendungsbereich dieser Verordnung fällt, infolge solcher Forschungs- und Entwicklungstätigkeiten in Verkehr +gebracht oder in Betrieb genommen wird, noch die Anwendung der Bestimmungen zu KI-Reallaboren und zu Tests +unter Realbedingungen. Darüber hinaus sollte unbeschadet der Ausnahme in Bezug auf KI-Systeme, die eigens für +den alleinigen Zweck der wissenschaftlichen Forschung und Entwicklung entwickelt und in Betrieb genommen +werden, jedes andere KI-System, das für die Durchführung von Forschungs- und Entwicklungstätigkeiten verwendet +werden könnte, den Bestimmungen dieser Verordnung unterliegen. In jedem Fall sollten jegliche Forschungs- und +Entwicklungstätigkeiten gemäß anerkannten ethischen und professionellen Grundsätzen für die wissenschaftliche +Forschung und unter Wahrung des geltenden Unionsrechts ausgeführt werden. + + +(26) Um ein verhältnismäßiges und wirksames verbindliches Regelwerk für KI-Systeme einzuführen, sollte ein klar +definierter risikobasierter Ansatz verfolgt werden. Bei diesem Ansatz sollten Art und Inhalt solcher Vorschriften auf +die Intensität und den Umfang der Risiken zugeschnitten werden, die von KI-Systemen ausgehen können. Es ist daher +notwendig, bestimmte inakzeptable Praktiken im Bereich der KI zu verbieten und Anforderungen an Hochrisiko- +KI-Systeme und Pflichten für die betreffenden Akteure sowie Transparenzpflichten für bestimmte KI-Systeme +festzulegen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 7/ + + + +(27) Während der risikobasierte Ansatz die Grundlage für ein verhältnismäßiges und wirksames verbindliches Regelwerk +bildet, muss auch auf die Ethikleitlinien für vertrauenswürdige KI von 2019 der von der Kommission eingesetzten +unabhängigen hochrangigen Expertengruppe für künstliche Intelligenz verwiesen werden. In diesen Leitlinien hat die +hochrangige Expertengruppe sieben unverbindliche ethische Grundsätze für KI entwickelt, die dazu beitragen sollten, +dass KI vertrauenswürdig und ethisch vertretbar ist. Zu den sieben Grundsätzen gehören: menschliches Handeln und +menschliche Aufsicht, technische Robustheit und Sicherheit, Privatsphäre und Daten-Governance, Transparenz, +Vielfalt, Nichtdiskriminierung und Fairness, soziales und ökologisches Wohlergehen sowie Rechenschaftspflicht. +Unbeschadet der rechtsverbindlichen Anforderungen dieser Verordnung und anderer geltender Rechtsvorschriften +der Union tragen diese Leitlinien zur Gestaltung kohärenter, vertrauenswürdiger und menschenzentrierter KI bei im +Einklang mit der Charta und den Werten, auf die sich die Union gründet. Nach den Leitlinien der hochrangigen +Expertengruppe bedeutet „menschliches Handeln und menschliche Aufsicht“, dass ein KI-System entwickelt und als +Instrument verwendet wird, das den Menschen dient, die Menschenwürde und die persönliche Autonomie achtet +und so funktioniert, dass es von Menschen angemessen kontrolliert und überwacht werden kann. „Technische +Robustheit und Sicherheit“ bedeutet, dass KI-Systeme so entwickelt und verwendet werden, dass sie im Fall von +Schwierigkeiten robust sind und widerstandsfähig gegen Versuche, die Verwendung oder Leistung des KI-Systems so +zu verändern, dass dadurch die unrechtmäßige Verwendung durch Dritte ermöglicht wird, und dass ferner +unbeabsichtigte Schäden minimiert werden. „Privatsphäre und Daten-Governance“ bedeutet, dass KI-Systeme im +Einklang mit den geltenden Vorschriften zum Schutz der Privatsphäre und zum Datenschutz entwickelt und +verwendet werden und dabei Daten verarbeiten, die hohen Qualitäts- und Integritätsstandards genügen. +„Transparenz“ bedeutet, dass KI-Systeme so entwickelt und verwendet werden, dass sie angemessen nachvollziehbar +und erklärbar sind, wobei den Menschen bewusst gemacht werden muss, dass sie mit einem KI-System +kommunizieren oder interagieren, und dass die Betreiber ordnungsgemäß über die Fähigkeiten und Grenzen des +KI-Systems informieren und die betroffenen Personen über ihre Rechte in Kenntnis setzen müssen. „Vielfalt, +Nichtdiskriminierung und Fairness“ bedeutet, dass KI-Systeme in einer Weise entwickelt und verwendet werden, die +unterschiedliche Akteure einbezieht und den gleichberechtigten Zugang, die Geschlechtergleichstellung und die +kulturelle Vielfalt fördert, wobei diskriminierende Auswirkungen und unfaire Verzerrungen, die nach Unionsrecht +oder nationalem Recht verboten sind, verhindert werden. „Soziales und ökologisches Wohlergehen“ bedeutet, dass +KI-Systeme in nachhaltiger und umweltfreundlicher Weise und zum Nutzen aller Menschen entwickelt und +verwendet werden, wobei die langfristigen Auswirkungen auf den Einzelnen, die Gesellschaft und die Demokratie +überwacht und bewertet werden. Die Anwendung dieser Grundsätze sollte, soweit möglich, in die Gestaltung und +Verwendung von KI-Modellen einfließen. Sie sollten in jedem Fall als Grundlage für die Ausarbeitung von +Verhaltenskodizes im Rahmen dieser Verordnung dienen. Alle Interessenträger, einschließlich der Industrie, der +Wissenschaft, der Zivilgesellschaft und der Normungsorganisationen, werden aufgefordert, die ethischen Grundsätze +bei der Entwicklung freiwilliger bewährter Verfahren und Normen, soweit angebracht, zu berücksichtigen. + + +(28) Abgesehen von den zahlreichen nutzbringenden Verwendungsmöglichkeiten von KI kann diese Technologie auch +missbraucht werden und neue und wirkungsvolle Instrumente für manipulative, ausbeuterische und soziale +Kontrollpraktiken bieten. Solche Praktiken sind besonders schädlich und missbräuchlich und sollten verboten +werden, weil sie im Widerspruch zu den Werten der Union stehen, nämlich der Achtung der Menschenwürde, +Freiheit, Gleichheit, Demokratie und Rechtsstaatlichkeit sowie der in der Charta verankerten Grundrechte, +einschließlich des Rechts auf Nichtdiskriminierung, Datenschutz und Privatsphäre sowie der Rechte des Kindes. + + +(29) KI-gestützte manipulative Techniken können dazu verwendet werden, Personen zu unerwünschten Verhaltensweisen +zu bewegen oder sie zu täuschen, indem sie in einer Weise zu Entscheidungen angeregt werden, die ihre Autonomie, +Entscheidungsfindung und freie Auswahl untergräbt und beeinträchtigt. Das Inverkehrbringen, die Inbetriebnahme +oder die Verwendung bestimmter KI-Systeme, die das Ziel oder die Auswirkung haben, menschliches Verhalten +maßgeblich nachteilig zu beeinflussen, und große Schäden, insbesondere erhebliche nachteilige Auswirkungen auf +die physische und psychische Gesundheit oder auf die finanziellen Interessen verursachen dürften, ist besonders +gefährlich und sollte dementsprechend verboten werden. Solche KI-Systeme setzen auf eine unterschwellige +Beeinflussung, beispielweise durch Reize in Form von Ton-, Bild- oder Videoinhalten, die für Menschen nicht +erkennbar sind, da diese Reize außerhalb ihres Wahrnehmungsbereichs liegen, oder auf andere Arten manipulativer +oder täuschender Beeinflussung, die ihre Autonomie, Entscheidungsfindung oder freie Auswahl in einer Weise +untergraben und beeinträchtigen, die sich ihrer bewussten Wahrnehmung entzieht oder deren Einfluss — selbst +wenn sie sich seiner bewusst sind — sie nicht kontrollieren oder widerstehen können. Dies könnte beispielsweise +durch Gehirn-Computer-Schnittstellen oder virtuelle Realität erfolgen, da diese ein höheres Maß an Kontrolle +darüber ermöglichen, welche Reize den Personen, insofern diese das Verhalten der Personen in erheblichem Maße +schädlich beeinflussen können, angeboten werden. Ferner können KI-Systeme auch anderweitig die Vulnerabilität +einer Person oder bestimmter Gruppen von Personen aufgrund ihres Alters oder einer Behinderung im Sinne der +Richtlinie (EU) 2019/882 des Europäischen Parlaments und des Rates (^16 ) oder aufgrund einer bestimmten sozialen +oder wirtschaftlichen Situation ausnutzen, durch die diese Personen gegenüber einer Ausnutzung anfälliger werden +dürften, beispielweise Personen, die in extremer Armut leben, und ethnische oder religiöse Minderheiten. Solche +KI-Systeme können mit dem Ziel oder der Wirkung in Verkehr gebracht, in Betrieb genommen oder verwendet +werden, das Verhalten einer Person in einer Weise wesentlich zu beeinflussen, die dieser Person oder einer anderen +Person oder Gruppen von Personen einen erheblichen Schaden zufügt oder mit hinreichender Wahrscheinlichkeit + +# DE ABl. L vom 12.7. + +8/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^16 ) Richtlinie (EU) 2019/882 des Europäischen Parlaments und des Rates vom 17. April 2019 über die Barrierefreiheitsanforderungen +für Produkte und Dienstleistungen (ABl. L 151 vom 7.6.2019, S. 70). + + + +zufügen wird, einschließlich Schäden, die sich im Laufe der Zeit anhäufen können, und sollten daher verboten +werden. Diese Absicht, das Verhalten zu beeinflussen, kann nicht vermutet werden, wenn die Beeinflussung auf +Faktoren zurückzuführen ist, die nicht Teil des KI-Systems sind und außerhalb der Kontrolle des Anbieters oder +Betreibers liegen, d. h. Faktoren, die vom Anbieter oder Betreiber des KI-Systems vernünftigerweise nicht +vorhergesehen oder gemindert werden können. In jedem Fall ist es nicht erforderlich, dass der Anbieter oder der +Betreiber die Absicht haben, erheblichen Schaden zuzufügen, wenn dieser Schaden aufgrund von manipulativen oder +ausbeuterischen KI-gestützten Praktiken entsteht. Das Verbot solcher KI-Praktiken ergänzt die Bestimmungen der +Richtlinie 2005/29/EG des Europäischen Parlaments und des Rates (^17 ); insbesondere sind unlautere Geschäfts- +praktiken, durch die Verbraucher wirtschaftliche oder finanzielle Schäden erleiden, unter allen Umständen verboten, +unabhängig davon, ob sie durch KI-Systeme oder anderweitig umgesetzt werden. Das Verbot manipulativer und +ausbeuterischer Praktiken gemäß dieser Verordnung sollte sich nicht auf rechtmäßige Praktiken im Zusammenhang +mit medizinischen Behandlungen, etwa der psychologischen Behandlung einer psychischen Krankheit oder der +physischen Rehabilitation, auswirken, wenn diese Praktiken gemäß den geltenden Rechtsvorschriften und +medizinischen Standards erfolgen, z. B mit der ausdrücklichen Zustimmung der Einzelpersonen oder ihrer +gesetzlichen Vertreter. Darüber hinaus sollten übliche und rechtmäßige Geschäftspraktiken, beispielsweise im Bereich +der Werbung, die im Einklang mit den geltenden Rechtsvorschriften stehen, als solche nicht als schädliche +manipulative KI-gestützten Praktiken gelten. + + +(30) Systeme zur biometrischen Kategorisierung, die anhand der biometrischen Daten von natürlichen Personen, wie dem +Gesicht oder dem Fingerabdruck einer Person, die politische Meinung, die Mitgliedschaft in einer Gewerkschaft, +religiöse oder weltanschauliche Überzeugungen, die Rasse, das Sexualleben oder die sexuelle Ausrichtung einer +Person erschließen oder ableiten, sollten verboten werden. Dieses Verbot sollte nicht für die rechtmäßige +Kennzeichnung, Filterung oder Kategorisierung biometrischer Datensätze gelten, die im Einklang mit dem +Unionsrecht oder dem nationalen Recht anhand biometrischer Daten erworben wurden, wie das Sortieren von +Bildern nach Haar- oder Augenfarbe, was beispielsweise im Bereich der Strafverfolgung verwendet werden kann. + + +(31) KI-Systeme, die eine soziale Bewertung natürlicher Personen durch öffentliche oder private Akteure bereitstellen, +können zu diskriminierenden Ergebnissen und zur Ausgrenzung bestimmter Gruppen führen. Sie können die +Menschenwürde und das Recht auf Nichtdiskriminierung sowie die Werte der Gleichheit und Gerechtigkeit verletzen. +Solche KI-Systeme bewerten oder klassifizieren natürliche Personen oder Gruppen natürlicher Personen in einem +bestimmten Zeitraum auf der Grundlage zahlreicher Datenpunkte in Bezug auf ihr soziales Verhalten in +verschiedenen Zusammenhängen oder aufgrund bekannter, vermuteter oder vorhergesagter persönlicher Eigen- +schaften oder Persönlichkeitsmerkmale. Die aus solchen KI-Systemen erzielte soziale Bewertung kann zu einer +Schlechterstellung oder Benachteiligung bestimmter natürlicher Personen oder ganzer Gruppen natürlicher Personen +in sozialen Kontexten, die in keinem Zusammenhang mit den Umständen stehen, unter denen die Daten +ursprünglich erzeugt oder erhoben wurden, oder zu einer Schlechterstellung führen, die im Hinblick auf die +Tragweite ihres sozialen Verhaltens unverhältnismäßig oder ungerechtfertigt ist. KI-Systeme, die solche +inakzeptablen Bewertungspraktiken mit sich bringen und zu einer solchen Schlechterstellung oder Benachteiligung +führen, sollten daher verboten werden. Dieses Verbot sollte nicht die rechtmäßigen Praktiken zur Bewertung +natürlicher Personen berühren, die im Einklang mit dem Unionsrecht und dem nationalen Recht zu einem +bestimmten Zweck durchgeführt werden. + + +(32) Die Verwendung von KI-Systemen zur biometrischen Echtzeit-Fernidentifizierung natürlicher Personen in öffentlich +zugänglichen Räumen zu Strafverfolgungszwecken greift besonders in die Rechte und Freiheiten der betroffenen +Personen ein, da sie die Privatsphäre eines großen Teils der Bevölkerung beeinträchtigt, ein Gefühl der ständigen +Überwachung weckt und indirekt von der Ausübung der Versammlungsfreiheit und anderer Grundrechte abhalten +kann. Technische Ungenauigkeiten von KI-Systemen, die für die biometrische Fernidentifizierung natürlicher +Personen bestimmt sind, können zu verzerrten Ergebnissen führen und eine diskriminierende Wirkung haben. +Solche möglichen verzerrten Ergebnisse und eine solche diskriminierende Wirkung sind von besonderer Bedeutung, +wenn es um das Alter, die ethnische Herkunft, die Rasse, das Geschlecht oder Behinderungen geht. Darüber hinaus +bergen die Unmittelbarkeit der Auswirkungen und die begrenzten Möglichkeiten weiterer Kontrollen oder +Korrekturen im Zusammenhang mit der Verwendung solcher in Echtzeit betriebener Systeme erhöhte Risiken für die +Rechte und Freiheiten der betreffenden Personen, die im Zusammenhang mit Strafverfolgungsmaßnahmen stehen +oder davon betroffen sind. + + +(33) Die Verwendung solcher Systeme zu Strafverfolgungszwecken sollte daher untersagt werden, außer in erschöpfend +aufgeführten und eng abgegrenzten Fällen, in denen die Verwendung unbedingt erforderlich ist, um einem +erheblichen öffentlichen Interesse zu dienen, dessen Bedeutung die Risiken überwiegt. Zu diesen Fällen gehört die +Suche nach bestimmten Opfern von Straftaten, einschließlich vermisster Personen, bestimmte Gefahren für das +Leben oder die körperliche Unversehrtheit natürlicher Personen oder die Gefahr eines Terroranschlags sowie das +Aufspüren oder Identifizieren von Tätern oder Verdächtigen in Bezug auf die in einem Anhang zu dieser Verordnung + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 9/ + + +(^17 ) Richtlinie 2005/29/EG des Europäischen Parlaments und des Rates vom 11. Mai 2005 über unlautere Geschäftspraktiken im +binnenmarktinternen Geschäftsverkehr zwischen Unternehmen und Verbrauchern und zur Änderung der Richtlinie 84/450/EWG +des Rates, der Richtlinien 97/7/EG, 98/27/EG und 2002/65/EG des Europäischen Parlaments und des Rates sowie der Verordnung +(EG) Nr. 2006/2004 des Europäischen Parlaments und des Rates (Richtlinie über unlautere Geschäftspraktiken) (ABl. L 149 vom +11.6.2005, S. 22). + + + +genannten Straftaten, sofern diese Straftaten in dem betreffenden Mitgliedstaat im Sinne des Rechts dieses +Mitgliedstaats mit einer Freiheitsstrafe oder einer freiheitsentziehenden Maßregel der Sicherung im Höchstmaß von +mindestens vier Jahren bedroht sind. Eine solche Schwelle für eine Freiheitsstrafe oder eine freiheitsentziehende +Maßregel der Sicherung nach nationalem Recht trägt dazu bei, sicherzustellen, dass die Straftat schwerwiegend +genug ist, um den Einsatz biometrischer Echtzeit-Fernidentifizierungssysteme möglicherweise zu rechtfertigen. +Darüber hinaus beruht die im Anhang dieser Verordnung aufgeführte Liste der Straftaten auf den 32 im +Rahmenbeschluss 2002/584/JI des Rates (^18 ) aufgeführten Straftaten, unter Berücksichtigung der Tatsache, dass +einige der Straftaten in der Praxis eher relevant sein können als andere, da der Rückgriff auf die biometrische +Echtzeit-Fernidentifizierung für die konkrete Aufspürung oder Identifizierung eines Täters oder Verdächtigen in +Bezug auf eine der verschiedenen aufgeführten Straftaten voraussichtlich in äußerst unterschiedlichem Maße +erforderlich und verhältnismäßig sein könnte und da dabei die wahrscheinlichen Unterschiede in Schwere, +Wahrscheinlichkeit und Ausmaß des Schadens oder möglicher negativer Folgen zu berücksichtigen sind. Eine +unmittelbare Gefahr für das Leben oder die körperliche Unversehrtheit natürlicher Personen kann auch durch die +schwerwiegende Störung einer kritischen Infrastruktur im Sinne des Artikels 2 Nummer 4 der Richtlinie (EU) +2022/2557 des Europäischen Parlaments und des Rates (^19 ) entstehen, wenn die Störung oder Zerstörung einer +solchen kritischen Infrastruktur zu einer unmittelbaren Gefahr für das Leben oder die körperliche Unversehrtheit +einer Person führen würde, auch durch die schwerwiegende Beeinträchtigung der Bereitstellung der Grund- +versorgung für die Bevölkerung oder der Wahrnehmung der Kernfunktion des Staates. Darüber hinaus sollte diese +Verordnung die Fähigkeit der Strafverfolgungs-, Grenzschutz-, Einwanderungs- oder Asylbehörden erhalten, gemäß +den im Unionsrecht und im nationalen Recht für diesen Zweck festgelegten Bedingungen die Identität der +betreffenden Person in ihrer Anwesenheit festzustellen. Insbesondere sollten Strafverfolgungs-, Grenzschutz-, +Einwanderungs- oder Asylbehörden gemäß dem Unionsrecht oder dem nationalen Recht Informationssysteme +verwenden können, um eine Person zu identifizieren, die während einer Identitätsfeststellung entweder verweigert, +identifiziert zu werden, oder nicht in der Lage ist, ihre Identität anzugeben oder zu belegen, wobei gemäß dieser +Verordnung keine vorherige Genehmigung erlangt werden muss. Dabei könnte es sich beispielsweise um eine Person +handeln, die in eine Straftat verwickelt ist und nicht gewillt oder aufgrund eines Unfalls oder des Gesundheits- +zustands nicht in der Lage ist, den Strafverfolgungsbehörden ihre Identität offenzulegen. + + +(34) Um sicherzustellen, dass diese Systeme verantwortungsvoll und verhältnismäßig genutzt werden, ist es auch wichtig, +festzulegen, dass in jedem dieser erschöpfend aufgeführten und eng abgegrenzten Fälle bestimmte Elemente +berücksichtigt werden sollten, insbesondere in Bezug auf die Art des dem Antrag zugrunde liegenden Falls und die +Auswirkungen der Verwendung auf die Rechte und Freiheiten aller betroffenen Personen sowie auf die für die +Verwendung geltenden Schutzvorkehrungen und Bedingungen. Darüber hinaus sollte die Verwendung biometrischer +Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen Räumen für die Zwecke der Strafverfolgung nur +eingesetzt werden, um die Identität der speziell betroffenen Person zu bestätigen und sollte sich hinsichtlich des +Zeitraums und des geografischen und personenbezogenen Anwendungsbereichs auf das unbedingt Notwendige +beschränken, wobei insbesondere den Beweisen oder Hinweisen in Bezug auf die Bedrohungen, die Opfer oder den +Täter Rechnung zu tragen ist. Die Verwendung des biometrischen Echtzeit-Fernidentifizierungssystems in öffentlich +zugänglichen Räumen sollte nur genehmigt werden, wenn die zuständige Strafverfolgungsbehörde eine +Grundrechte-Folgenabschätzung durchgeführt und, sofern in dieser Verordnung nichts anderes bestimmt ist, das +System gemäß dieser Verordnung in der Datenbank registriert hat. Die Personenreferenzdatenbank sollte für jeden +Anwendungsfall in jedem der oben genannten Fälle geeignet sein. + + +(35) Jede Verwendung biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen Räumen zu +Strafverfolgungszwecken sollte einer ausdrücklichen spezifischen Genehmigung durch eine Justizbehörde oder eine +unabhängige Verwaltungsbehörde eines Mitgliedstaats, deren Entscheidung rechtsverbindlich ist, unterliegen. Eine +solche Genehmigung sollte grundsätzlich vor der Verwendung des KI-Systems zur Identifizierung einer Person oder +mehrerer Personen eingeholt werden. Ausnahmen von dieser Regel sollten in hinreichend begründeten dringenden +Fällen erlaubt sein, d. h. in Situationen, in denen es wegen der Notwendigkeit der Verwendung der betreffenden +Systeme tatsächlich und objektiv unmöglich ist, vor dem Beginn der Verwendung des KI-Systems eine Genehmigung +einzuholen. In solchen dringenden Fällen sollte die Verwendung des KI-Systems auf das absolut notwendige +Mindestmaß beschränkt werden und angemessenen Schutzvorkehrungen und Bedingungen unterliegen, die im +nationalen Recht festgelegt sind und im Zusammenhang mit jedem einzelnen dringenden Anwendungsfall von der +Strafverfolgungsbehörde selbst präzisiert werden. Darüber hinaus sollte die Strafverfolgungsbehörde in solchen +Fällen eine solche Genehmigung beantragen und die Gründe dafür angeben, warum sie sie nicht früher, unverzüglich, +spätestens jedoch innerhalb von 24 Stunden beantragen konnte. Wird eine solche Genehmigung abgelehnt, sollte die +Verwendung biometrischer Echtzeit-Identifizierungssysteme, die mit dieser Genehmigung verbunden sind, mit +sofortiger Wirkung eingestellt werden, und alle Daten im Zusammenhang mit dieser Verwendung sollten verworfen +und gelöscht werden. Diese Daten umfassen Eingabedaten, die von einem KI-System während der Nutzung eines +solchen Systems direkt erfasst werden, sowie die Ergebnisse und Ausgaben der mit dieser Genehmigung +verbundenen Verwendung. Daten, die im Einklang mit anderem Unionsrecht oder nationalem Recht rechtmäßig + +# DE ABl. L vom 12.7. + +10/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^18 ) Rahmenbeschluss 2002/584/JI des Rates vom 13. Juni 2002 über den Europäischen Haftbefehl und die Übergabeverfahren zwischen +den Mitgliedstaaten (ABl. L 190 vom 18.7.2002, S. 1). +(^19 ) Richtlinie (EU) 2022/2557 des Europäischen Parlaments und des Rates vom 14. Dezember 2022 über die Resilienz kritischer +Einrichtungen und zur Aufhebung der Richtlinie 2008/114/EG des Rates (ABl. L 333 vom 27.12.2022, S. 164). + + + +erworben wurden, sollten davon nicht betroffen sein. In jedem Fall darf keine Entscheidung mit nachteiligen +Rechtsfolgen für eine Person allein auf der Grundlage der Ausgaben des biometrischen Fernidentifizierungssystems +getroffen werden. + + +(36) Damit sie ihre Aufgaben im Einklang mit den Anforderungen dieser Verordnung und der nationalen Vorschriften +erfüllen können, sollte die zuständige Marktüberwachungsbehörde und die nationale Datenschutzbehörde über jede +Verwendung des biometrischen Echtzeit-Identifizierungssystems unterrichtet werden. Die Marktüberwachungs- +behörden und die nationalen Datenschutzbehörden, die unterrichtet wurden, sollten der Kommission jährlich einen +Bericht über die Verwendung biometrischer Echtzeit-Identifizierungssysteme vorlegen. + + +(37) Darüber hinaus ist es angezeigt, innerhalb des durch diese Verordnung vorgegebenen erschöpfenden Rahmens +festzulegen, dass eine solche Verwendung im Hoheitsgebiet eines Mitgliedstaats gemäß dieser Verordnung nur +möglich sein sollte, sofern der betreffende Mitgliedstaat in seinen detaillierten nationalen Rechtsvorschriften +ausdrücklich vorgesehen hat, dass eine solche Verwendung genehmigt werden kann. Folglich steht es den +Mitgliedstaaten im Rahmen dieser Verordnung frei, eine solche Möglichkeit generell oder nur in Bezug auf einige der +in dieser Verordnung genannten Ziele, für die eine genehmigte Verwendung gerechtfertigt sein kann, vorzusehen. +Solche nationalen Rechtsvorschriften sollten der Kommission spätestens 30 Tage nach ihrer Annahme mitgeteilt +werden. + + +(38) Die Verwendung von KI-Systemen zur biometrischen Echtzeit-Fernidentifizierung natürlicher Personen in öffentlich +zugänglichen Räumen zu Strafverfolgungszwecken erfordert zwangsläufig die Verarbeitung biometrischer Daten. Die +Vorschriften dieser Verordnung, die vorbehaltlich bestimmter Ausnahmen eine solche Verwendung auf der +Grundlage des Artikels 16 AEUV verbieten, sollten als Lex specialis in Bezug auf die in Artikel 10 der Richtlinie (EU) +2016/680 enthaltenen Vorschriften über die Verarbeitung biometrischer Daten gelten und somit die Verwendung +und Verarbeitung der betreffenden biometrischen Daten umfassend regeln. Eine solche Verwendung und +Verarbeitung sollte daher nur möglich sein, soweit sie mit dem in dieser Verordnung festgelegten Rahmen +vereinbar ist, ohne dass es den zuständigen Behörden bei ihren Tätigkeiten zu Strafverfolgungszwecken Raum lässt, +außerhalb dieses Rahmens solche Systeme zu verwenden und die damit verbundenen Daten aus den in Artikel 10 +der Richtlinie (EU) 2016/680 aufgeführten Gründen zu verarbeiten. In diesem Zusammenhang soll diese +Verordnung nicht als Rechtsgrundlage für die Verarbeitung personenbezogener Daten gemäß Artikel 8 der Richtlinie +(EU) 2016/680 dienen. Die Verwendung biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugäng- +lichen Räumen zu anderen Zwecken als der Strafverfolgung, auch durch zuständige Behörden, sollte jedoch nicht +unter den in dieser Verordnung festgelegten spezifischen Rahmen für diese Verwendung zu Strafverfolgungszwecken +fallen. Eine solche Verwendung zu anderen Zwecken als der Strafverfolgung sollte daher nicht der Genehmigungs- +pflicht gemäß dieser Verordnung und den zu dieser Genehmigung anwendbaren detaillierten nationalen +Rechtsvorschriften unterliegen. + + +(39) Jede Verarbeitung biometrischer Daten und anderer personenbezogener Daten im Zusammenhang mit der +Verwendung von KI-Systemen für die biometrische Identifizierung, ausgenommen im Zusammenhang mit der +Verwendung biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen Räumen zu Straf- +verfolgungszwecken im Sinne dieser Verordnung, sollte weiterhin allen Anforderungen genügen, die sich aus +Artikel 10 der Richtlinie (EU) 2016/680 ergeben. Für andere Zwecke als die Strafverfolgung ist die Verarbeitung +biometrischer Daten gemäß Artikel 9 Absatz 1 der Verordnung (EU) 2016/679 und Artikel 10 Absatz 1 der +Verordnung (EU) 2018/1725, vorbehaltlich der in diesen Artikeln vorgesehenen begrenzten Ausnahmefällen, +verboten. In Anwendung des Artikels 9 Absatz 1 der Verordnung (EU) 2016/679 war die Verwendung biometrischer +Fernidentifizierung zu anderen Zwecken als der Strafverfolgung bereits Gegenstand von Verbotsentscheidungen der +nationalen Datenschutzbehörden. + + +(40) Nach Artikel 6a des dem EUV und dem AEUV beigefügten Protokolls Nr. 21 über die Position des Vereinigten +Königreichs und Irlands hinsichtlich des Raums der Freiheit, der Sicherheit und des Rechts sind die auf der Grundlage +des Artikels 16 AEUV festgelegten Vorschriften in Artikel 5 Absatz 1 Unterabsatz 1 Buchstabe g, soweit er auf die +Verwendung von Systemen zur biometrischen Kategorisierung für Tätigkeiten im Bereich der polizeilichen +Zusammenarbeit und der justiziellen Zusammenarbeit in Strafsachen Anwendung findet, Artikel 5 Absatz 1 +Buchstabe d, soweit sie auf die Verwendung von KI-Systemen nach der darin festgelegten Bestimmung Anwendung +finden, sowie Artikel 5 Absatz 1 Unterabsatz 1 Buchstabe h, Artikel 5 Absätze 2 bis 6 und Artikel 26 Absatz 10 +dieser Verordnung in Bezug auf die Verarbeitung personenbezogener Daten durch die Mitgliedstaaten im Rahmen +der Ausübung von Tätigkeiten, die in den Anwendungsbereich des Dritten Teils Titel V Kapitel 4 oder 5 AEUV fallen, +für Irland nicht bindend, wenn Irland nicht durch die Vorschriften gebunden ist, die die Formen der justiziellen +Zusammenarbeit in Strafsachen oder der polizeilichen Zusammenarbeit regeln, in deren Rahmen die auf der +Grundlage des Artikels 16 AEUV festgelegten Vorschriften eingehalten werden müssen. + + +(41) Nach den Artikeln 2 und 2a des dem EUV und dem AEUV beigefügten Protokolls Nr. 22 über die Position +Dänemarks ist Dänemark durch die auf der Grundlage des Artikels 16 AEUV festgelegten Vorschriften in Artikel 5 +Absatz 1 Unterabsatz 1 Buchstabe g soweit er auf die Verwendung von Systemen zur biometrischen Kategorisierung +für Tätigkeiten im Bereich der polizeilichen Zusammenarbeit und der justiziellen Zusammenarbeit in Strafsachen +Anwendung findet, Artikel 5 Absatz 1 Unterabsatz 1 Buchstaben d soweit sie auf die Verwendung von KI-Systemen + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 11/ + + + +nach der darin festgelegten Bestimmung Anwendung finden, sowie Artikel 5 Absatz 1 Unterabsatz 1 Buchstabe h, +Artikel 5 Absätze 2 bis 6 und Artikel 26 Absatz 10 dieser Verordnung in Bezug auf die Verarbeitung +personenbezogener Daten durch die Mitgliedstaaten im Rahmen der Ausübung von Tätigkeiten, die in den +Anwendungsbereich des Dritten Teils Titel V Kapitel 4 oder 5 AEUV fallen, weder gebunden noch zu ihrer +Anwendung verpflichtet. + + +(42) Im Einklang mit der Unschuldsvermutung sollten natürliche Personen in der Union stets nach ihrem tatsächlichen +Verhalten beurteilt werden. Natürliche Personen sollten niemals allein nach dem Verhalten beurteilt werden, das von +einer KI auf der Grundlage ihres Profiling, ihrer Persönlichkeitsmerkmale oder -eigenschaften wie Staats- +angehörigkeit, Geburtsort, Wohnort, Anzahl der Kinder, Schulden oder Art ihres Fahrzeugs vorhergesagt wird, ohne +dass ein begründeter Verdacht besteht, dass diese Person an einer kriminellen Tätigkeit auf der Grundlage objektiver +nachprüfbarer Tatsachen beteiligt ist, und ohne dass eine menschliche Überprüfung stattfindet. Daher sollten +Risikobewertungen, die in Bezug auf natürliche Personen durchgeführt werden, um zu bewerten, ob sie straffällig +werden oder um eine tatsächliche oder mögliche Straftat vorherzusagen, und dies ausschließlich auf dem Profiling +dieser Personen oder der Bewertung ihrer Persönlichkeitsmerkmale und -eigenschaften beruht, verboten werden. In +jedem Fall betrifft oder berührt dieses Verbot nicht Risikoanalysen, die nicht auf dem Profiling von Einzelpersonen +oder auf Persönlichkeitsmerkmalen und -eigenschaften von Einzelpersonen beruhen, wie etwa KI-Systeme, die +Risikoanalysen zur Bewertung der Wahrscheinlichkeit eines Finanzbetrugs durch Unternehmen auf der Grundlage +verdächtiger Transaktionen durchführen, oder Risikoanalyseinstrumente einsetzen, um die Wahrscheinlichkeit +vorherzusagen, dass Betäubungsmittel oder illegale Waren durch Zollbehörden, beispielsweise auf der Grundlage +bekannter Schmuggelrouten, aufgespürt werden. + + +(43) Das Inverkehrbringen, die Inbetriebnahme für diesen spezifischen Zweck oder die Verwendung von KI-Systemen, die +Datenbanken zur Gesichtserkennung durch das ungezielte Auslesen von Gesichtsbildern aus dem Internet oder von +Videoüberwachungsaufnahmen erstellen oder erweitern, sollte verboten werden, da dies das Gefühl der +Massenüberwachung verstärkt und zu schweren Verstößen gegen die Grundrechte, einschließlich des Rechts auf +Privatsphäre, führen kann. + + +(44) Im Hinblick auf die wissenschaftliche Grundlage von KI-Systemen, die darauf abzielen, Emotionen zu erkennen oder +abzuleiten, bestehen ernsthafte Bedenken, insbesondere da sich Gefühlsausdrücke je nach Kultur oder Situation und +selbst bei ein und derselben Person erheblich unterscheiden. Zu den größten Schwachstellen solcher Systeme gehört, +dass sie beschränkt zuverlässig, nicht eindeutig und nur begrenzt verallgemeinerbar sind. Daher können KI-Systeme, +die Emotionen oder Absichten natürlicher Personen auf der Grundlage ihrer biometrischen Daten erkennen oder +ableiten, diskriminierende Ergebnisse hervorbringen und in die Rechte und Freiheiten der betroffenen Personen +eingreifen. Angesichts des Machtungleichgewichts in den Bereichen Arbeit und Bildung in Verbindung mit dem +intrusiven Charakter dieser Systeme können diese zu einer Schlechterstellung oder Benachteiligung bestimmter +natürlicher Personen oder ganzer Gruppen führen. Daher sollte das Inverkehrbringen, die Inbetriebnahme oder die +Verwendung von KI-Systemen, die den emotionalen Zustand von Einzelpersonen in Situationen, ableiten sollen, die +mit dem Arbeitsplatz oder dem Bildungsbereich in Zusammenhang stehen, verboten werden. Dieses Verbot sollte +nicht für KI-Systeme gelten, die ausschließlich aus medizinischen oder sicherheitstechnischen Gründen in Verkehr +gebracht werden, wie z. B. Systeme, die für therapeutische Zwecke bestimmt sind. + + +(45) Praktiken, die nach Unionsrecht, einschließlich Datenschutzrecht, Nichtdiskriminierungsrecht, Verbraucherschutz- +recht und Wettbewerbsrecht, verboten sind, sollten von dieser Verordnung nicht betroffen sein. + + +(46) Hochrisiko-KI-Systeme sollten nur dann auf dem Unionsmarkt in Verkehr gebracht, in Betrieb genommen oder +verwendet werden, wenn sie bestimmte verbindliche Anforderungen erfüllen. Mit diesen Anforderungen sollte +sichergestellt werden, dass Hochrisiko-KI-Systeme, die in der Union verfügbar sind oder deren Ausgabe anderweitig +in der Union verwendet wird, keine unannehmbaren Risiken für wichtige öffentliche Interessen der Union bergen, +wie sie im Unionsrecht anerkannt und geschützt sind. Auf der Grundlage des neuen Rechtsrahmens, wie in der +Bekanntmachung der Kommission „Leitfaden für die Umsetzung der Produktvorschriften der EU 2022 (Blue +Guide)“ (^20 ) dargelegt, gilt als allgemeine Regel, dass mehr als ein Rechtsakt der Harmonisierungsrechtsvorschriften +der Union wie die Verordnungen (EU) 2017/745 (^21 ) und (EU) 2017/746 (^22 ) des Europäischen Parlaments und des +Rates oder die Richtlinie 2006/42/EG des Europäischen Parlaments und des Rates (^23 ) auf ein Produkt anwendbar +sein können, da die Bereitstellung oder Inbetriebnahme nur erfolgen kann, wenn das Produkt allen geltenden +Harmonisierungsrechtsvorschriften der Union entspricht. Um Kohärenz zu gewährleisten und unnötigen + +# DE ABl. L vom 12.7. + +12/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^20 ) ABl. C 247 vom 29.6.2022, S. 1. +(^21 ) Verordnung (EU) 2017/745 des Europäischen Parlaments und des Rates vom 5. April 2017 über Medizinprodukte, zur Änderung +der Richtlinie 2001/83/EG, der Verordnung (EG) Nr. 178/2002 und der Verordnung (EG) Nr. 1223/2009 und zur Aufhebung der +Richtlinien 90/385/EWG und 93/42/EWG des Rates (ABl. L 117 vom 5.5.2017, S. 1). +(^22 ) Verordnung (EU) 2017/746 des Europäischen Parlaments und des Rates vom 5. April 2017 über In-vitro-Diagnostika und zur +Aufhebung der Richtlinie 98/79/EG und des Beschlusses 2010/227/EU der Kommission (ABl. L 117 vom 5.5.2017, S. 176). +(^23 ) Richtlinie 2006/42/EG des Europäischen Parlaments und des Rates vom 17. Mai 2006 über Maschinen und zur Änderung der +Richtlinie 95/16/EG (ABl. L 157 vom 9.6.2006, S. 24). + + + +Verwaltungsaufwand oder Kosten zu vermeiden, sollten die Anbieter eines Produkts, das ein oder mehrere +Hochrisiko-KI-Systeme enthält, für die die Anforderungen dieser Verordnung und der in einem Anhang dieser +Verordnung aufgeführten Harmonisierungsrechtsvorschriften der Union gelten, in Bezug auf operative +Entscheidungen darüber flexibel sein, wie die Konformität eines Produkts, das ein oder mehrere Hochrisiko- +KI-Systeme enthält, bestmöglich mit allen geltenden Anforderungen der Harmonisierungsrechtsvorschriften der +Union sichergestellt werden kann. Als hochriskant sollten nur solche KI-Systeme eingestuft werden, die erhebliche +schädliche Auswirkungen auf die Gesundheit, die Sicherheit und die Grundrechte von Personen in der Union haben, +wodurch eine mögliche Beschränkung des internationalen Handels so gering wie möglich bleiben sollte. + + +(47) KI-Systeme könnten nachteilige Auswirkungen auf die Gesundheit und Sicherheit von Personen haben, insbesondere +wenn solche Systeme als Sicherheitsbauteile von Produkten zum Einsatz kommen. Im Einklang mit den Zielen der +Harmonisierungsrechtsvorschriften der Union, die den freien Verkehr von Produkten im Binnenmarkt erleichtern +und gewährleisten sollen, dass nur sichere und anderweitig konforme Produkte auf den Markt gelangen, ist es +wichtig, dass die Sicherheitsrisiken, die ein Produkt als Ganzes aufgrund seiner digitalen Komponenten, +einschließlich KI-Systeme, mit sich bringen kann, angemessen vermieden und gemindert werden. So sollten +beispielsweise zunehmend autonome Roboter — sei es in der Fertigung oder in der persönlichen Assistenz und +Pflege — in der Lage sein, sicher zu arbeiten und ihre Funktionen in komplexen Umgebungen zu erfüllen. +Desgleichen sollten die immer ausgefeilteren Diagnosesysteme und Systeme zur Unterstützung menschlicher +Entscheidungen im Gesundheitssektor, in dem die Risiken für Leib und Leben besonders hoch sind, zuverlässig und +genau sein. + + +(48) Das Ausmaß der nachteiligen Auswirkungen des KI-Systems auf die durch die Charta geschützten Grundrechte ist bei +der Einstufung eines KI-Systems als hochriskant von besonderer Bedeutung. Zu diesen Rechten gehören die Würde +des Menschen, die Achtung des Privat- und Familienlebens, der Schutz personenbezogener Daten, die Freiheit der +Meinungsäußerung und die Informationsfreiheit, die Versammlungs- und Vereinigungsfreiheit, das Recht auf +Nichtdiskriminierung, das Recht auf Bildung, der Verbraucherschutz, die Arbeitnehmerrechte, die Rechte von +Menschen mit Behinderungen, die Gleichstellung der Geschlechter, Rechte des geistigen Eigentums, das Recht auf +einen wirksamen Rechtsbehelf und ein faires Gerichtsverfahren, das Verteidigungsrecht, die Unschuldsvermutung +sowie das Recht auf eine gute Verwaltung. Es muss betont werden, dass Kinder — zusätzlich zu diesen Rechten — +über spezifische Rechte verfügen, wie sie in Artikel 24 der Charta und im Übereinkommen der Vereinten Nationen +über die Rechte des Kindes (UNCRC) — im Hinblick auf das digitale Umfeld weiter ausgeführt in der Allgemeinen +Bemerkung Nr. 25 des UNCRC — verankert sind; in beiden wird die Berücksichtigung der Schutzbedürftigkeit der +Kinder gefordert und ihr Anspruch auf den Schutz und die Fürsorge festgelegt, die für ihr Wohlergehen notwendig +sind. Darüber hinaus sollte dem Grundrecht auf ein hohes Umweltschutzniveau, das in der Charta verankert ist und +mit der Unionspolitik umgesetzt wird, bei der Bewertung der Schwere des Schadens, den ein KI-System unter +anderem in Bezug auf die Gesundheit und Sicherheit von Personen verursachen kann, ebenfalls Rechnung getragen +werden. + + +(49) In Bezug auf Hochrisiko-KI-Systeme, die Sicherheitsbauteile von Produkten oder Systemen oder selbst Produkte oder +Systeme sind, die in den Anwendungsbereich der Verordnung (EG) Nr. 300/2008 des Europäischen Parlaments und +des Rates (^24 ), der Verordnung (EU) Nr. 167/2013 des Europäischen Parlaments und des Rates (^25 ), der Verordnung +(EU) Nr. 168/2013 des Europäischen Parlaments und des Rates (^26 ), der Richtlinie 2014/90/EU des Europäischen +Parlaments und des Rates (^27 ), der Richtlinie (EU) 2016/797 des Europäischen Parlaments und des Rates (^28 ), der +Verordnung (EU) 2018/858 des Europäischen Parlaments und des Rates (^29 ), der Verordnung (EU) 2018/1139 des + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 13/ + + +(^24 ) Verordnung (EG) Nr. 300/2008 des Europäischen Parlaments und des Rates vom 11. März 2008 über gemeinsame Vorschriften für +die Sicherheit in der Zivilluftfahrt und zur Aufhebung der Verordnung (EG) Nr. 2320/2002 (ABl. L 97 vom 9.4.2008, S. 72). +(^25 ) Verordnung (EU) Nr. 167/2013 des Europäischen Parlaments und des Rates vom 5. Februar 2013 über die Genehmigung und +Marktüberwachung von land- und forstwirtschaftlichen Fahrzeugen (ABl. L 60 vom 2.3.2013, S. 1). +(^26 ) Verordnung (EU) Nr. 168/2013 des Europäischen Parlaments und des Rates vom 15. Januar 2013 über die Genehmigung und +Marktüberwachung von zwei- oder dreirädrigen und vierrädrigen Fahrzeugen (ABl. L 60 vom 2.3.2013, S. 52). +(^27 ) Richtlinie 2014/90/EU des Europäischen Parlaments und des Rates vom 23. Juli 2014 über Schiffsausrüstung und zur Aufhebung +der Richtlinie 96/98/EG des Rates (ABl. L 257 vom 28.8.2014, S. 146). +(^28 ) Richtlinie (EU) 2016/797 des Europäischen Parlaments und des Rates vom 11. Mai 2016 über die Interoperabilität des +Eisenbahnsystems in der Europäischen Union (ABl. L 138 vom 26.5.2016, S. 44). +(^29 ) Verordnung (EU) 2018/858 des Europäischen Parlaments und des Rates vom 30. Mai 2018 über die Genehmigung und die +Marktüberwachung von Kraftfahrzeugen und Kraftfahrzeuganhängern sowie von Systemen, Bauteilen und selbstständigen +technischen Einheiten für diese Fahrzeuge, zur Änderung der Verordnungen (EG) Nr. 715/2007 und (EG) Nr. 595/2009 und zur +Aufhebung der Richtlinie 2007/46/EG (ABl. L 151 vom 14.6.2018, S. 1). + + + +Europäischen Parlaments und des Rates (^30 ) und der Verordnung (EU) 2019/2144 des Europäischen Parlaments und +des Rates (^31 ) fallen, ist es angezeigt, diese Rechtsakte zu ändern, damit die Kommission — aufbauend auf den +technischen und regulatorischen Besonderheiten des jeweiligen Sektors und ohne Beeinträchtigung bestehender +Governance-, Konformitätsbewertungs- und Durchsetzungsmechanismen sowie der darin eingerichteten Behör- +den — beim Erlass von etwaigen delegierten Rechtsakten oder Durchführungsrechtsakten auf der Grundlage der +genannten Rechtsakte die in der vorliegenden Verordnung festgelegten verbindlichen Anforderungen an +Hochrisiko-KI-Systeme berücksichtigt. + + +(50) In Bezug auf KI-Systeme, die Sicherheitsbauteile von Produkten oder selbst Produkte sind, die in den +Anwendungsbereich bestimmter, im Anhang dieser Verordnung aufgeführter Harmonisierungsrechtsvorschriften +der Union fallen, ist es angezeigt, sie im Rahmen dieser Verordnung als hochriskant einzustufen, wenn das +betreffende Produkt gemäß den einschlägigen Harmonisierungsrechtsvorschriften der Union dem Konformitäts- +bewertungsverfahren durch eine als Dritte auftretende Konformitätsbewertungsstelle unterzogen wird. Dabei handelt +es sich insbesondere um Produkte wie Maschinen, Spielzeuge, Aufzüge, Geräte und Schutzsysteme zur +bestimmungsgemäßen Verwendung in explosionsgefährdeten Bereichen, Funkanlagen, Druckgeräte, Sportbootaus- +rüstung, Seilbahnen, Geräte zur Verbrennung gasförmiger Brennstoffe, Medizinprodukte, In-vitro-Diagnostika, +Automobile und Flugzeuge. + + +(51) Die Einstufung eines KI-Systems als hochriskant gemäß dieser Verordnung sollte nicht zwangsläufig bedeuten, dass +von dem Produkt, dessen Sicherheitsbauteil das KI-System ist, oder von dem KI-System als eigenständigem Produkt +nach den Kriterien der einschlägigen Harmonisierungsrechtsvorschriften der Union für das betreffende Produkt ein +hohes Risiko ausgeht. Dies gilt insbesondere für die Verordnungen (EU) 2017/745 und (EU) 2017/746, wo für +Produkte mit mittlerem und hohem Risiko eine Konformitätsbewertung durch Dritte vorgesehen ist. + + +(52) Bei eigenständigen KI-Systemen, d. h. Hochrisiko-KI-Systemen, bei denen es sich um andere Systeme als +Sicherheitsbauteile von Produkten handelt oder die selbst Produkte sind, ist es angezeigt, sie als hochriskant +einzustufen, wenn sie aufgrund ihrer Zweckbestimmung ein hohes Risiko bergen, die Gesundheit und Sicherheit +oder die Grundrechte von Personen zu schädigen, wobei sowohl die Schwere des möglichen Schadens als auch die +Wahrscheinlichkeit seines Auftretens zu berücksichtigen sind, und sofern sie in einer Reihe von Bereichen verwendet +werden, die in dieser Verordnung ausdrücklich festgelegt sind. Die Bestimmung dieser Systeme erfolgt nach derselben +Methodik und denselben Kriterien, die auch für künftige Änderungen der Liste der Hochrisiko-KI-Systeme +vorgesehen sind, zu deren Annahme die Kommission im Wege delegierter Rechtsakte ermächtigt werden sollte, um +dem rasanten Tempo der technologischen Entwicklung sowie den möglichen Änderungen bei der Verwendung von +KI-Systemen Rechnung zu tragen. + + +(53) Ferner muss klargestellt werden, dass es bestimmte Fälle geben kann, in denen KI-Systeme für vordefinierte in dieser +Verordnung festgelegte Bereiche nicht zu einem bedeutenden Risiko der Beeinträchtigung der in diesen Bereichen +geschützten rechtlichen Interessen führen, da sie die Entscheidungsfindung nicht wesentlich beeinflussen oder diesen +Interessen nicht erheblich schaden. Für die Zwecke dieser Verordnung sollte ein KI-System, das das Ergebnis der +Entscheidungsfindung nicht wesentlich beeinflusst, als ein KI-System verstanden werden, das keine Auswirkungen +auf den Inhalt und damit das Ergebnis der Entscheidungsfindung hat, unabhängig davon, ob es sich um menschliche +oder automatisierte Entscheidungen handelt. Ein KI-System, das das Ergebnis der Entscheidungsfindung nicht +wesentlich beeinflusst, könnte Situationen einschließen, in denen eine oder mehrere der folgenden Bedingungen +erfüllt sind. Die erste dieser Bedingungen ist, dass das KI-System dazu bestimmt ist, in einem Verfahren eine eng +gefasste Aufgabe zu erfüllen, wie etwa ein KI-System, das unstrukturierte Daten in strukturierte Daten umwandelt, +ein KI-System, das eingehende Dokumente in Kategorien einordnet, oder ein KI-System, das zur Erkennung von +Duplikaten unter einer großen Zahl von Anwendungen eingesetzt wird. Diese Aufgaben sind so eng gefasst und +begrenzt, dass sie nur beschränkte Risiken darstellen, die sich durch die Verwendung eines KI-Systems in einem +Kontext, der in einem Anhang dieser Verordnung als Verwendung mit hohem Risiko aufgeführt ist, nicht erhöhen. + +# DE ABl. L vom 12.7. + +14/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^30 ) Verordnung (EU) 2018/1139 des Europäischen Parlaments und des Rates vom 4. Juli 2018 zur Festlegung gemeinsamer Vorschriften +für die Zivilluftfahrt und zur Errichtung einer Agentur der Europäischen Union für Flugsicherheit sowie zur Änderung der +Verordnungen (EG) Nr. 2111/2005, (EG) Nr. 1008/2008, (EU) Nr. 996/2010, (EU) Nr. 376/2014 und der Richtlinien 2014/30/EU +und 2014/53/EU des Europäischen Parlaments und des Rates, und zur Aufhebung der Verordnungen (EG) Nr. 552/2004 und (EG) +Nr. 216/2008 des Europäischen Parlaments und des Rates und der Verordnung (EWG) Nr. 3922/91 des Rates (ABl. L 212 vom +22.8.2018, S. 1). +(^31 ) Verordnung (EU) 2019/2144 des Europäischen Parlaments und des Rates vom 27. November 2019 über die Typgenehmigung von +Kraftfahrzeugen und Kraftfahrzeuganhängern sowie von Systemen, Bauteilen und selbstständigen technischen Einheiten für diese +Fahrzeuge im Hinblick auf ihre allgemeine Sicherheit und den Schutz der Fahrzeuginsassen und von ungeschützten +Verkehrsteilnehmern, zur Änderung der Verordnung (EU) 2018/858 des Europäischen Parlaments und des Rates und zur +Aufhebung der Verordnungen (EG) Nr. 78/2009, (EG) Nr. 79/2009 und (EG) Nr. 661/2009 des Europäischen Parlaments und des +Rates sowie der Verordnungen (EG) Nr. 631/2009, (EU) Nr. 406/2010, (EU) Nr. 672/2010, (EU) Nr. 1003/2010, (EU) +Nr. 1005/2010, (EU) Nr. 1008/2010, (EU) Nr. 1009/2010, (EU) Nr. 19/2011, (EU) Nr. 109/2011, (EU) Nr. 458/2011, (EU) +Nr. 65/2012, (EU) Nr. 130/2012, (EU) Nr. 347/2012, (EU) Nr. 351/2012, (EU) Nr. 1230/2012 und (EU) 2015/166 der Kommission +(ABl. L 325 vom 16.12.2019, S. 1). + + + +Die zweite Bedingung sollte darin bestehen, dass die von einem KI-System ausgeführte Aufgabe das Ergebnis einer +zuvor abgeschlossenen menschlichen Tätigkeit verbessert, die für die Zwecke der in einem Anhang dieser +Verordnung aufgeführten Verwendungen mit hohem Risiko relevant sein kann. Unter Berücksichtigung dieser +Merkmale wird eine menschliche Tätigkeit durch das KI-System lediglich durch eine zusätzliche Ebene ergänzt und +stellt daher ein geringeres Risiko dar. Diese Bedingung würde beispielsweise für KI-Systeme gelten, deren Ziel es ist, +die in zuvor verfassten Dokumenten verwendete Sprache zu verbessern, etwa den professionellen Ton, den +wissenschaftlichen Sprachstil oder um den Text an einen bestimmten mit einer Marke verbundenen Stil anzupassen. +Dritte Bedingung sollte sein, dass mit dem KI-System Entscheidungsmuster oder Abweichungen von früheren +Entscheidungsmustern erkannt werden sollen. Das Risiko wäre geringer, da die Verwendung des KI-Systems einer +zuvor abgeschlossenen menschlichen Bewertung folgt, die das KI-System ohne angemessene menschliche +Überprüfung nicht ersetzen oder beeinflussen soll. Zu solchen KI-Systemen gehören beispielsweise solche, die in +Bezug auf ein bestimmtes Benotungsmuster eines Lehrers dazu verwendet werden können, nachträglich zu prüfen, +ob der Lehrer möglicherweise von dem Benotungsmuster abgewichen ist, um so auf mögliche Unstimmigkeiten oder +Unregelmäßigkeiten aufmerksam zu machen. Die vierte Bedingung sollte darin bestehen, dass das KI-System dazu +bestimmt ist, eine Aufgabe auszuführen, die eine Bewertung, die für die Zwecke der in einem Anhang dieser +Verordnung aufgeführten KI-Systeme relevant ist, lediglich vorbereitet, wodurch die mögliche Wirkung der Ausgaben +des Systems im Hinblick auf das Risiko für die folgende Bewertung sehr gering bleibt. Diese Bedingung umfasst u. a. +intelligente Lösungen für die Bearbeitung von Dossiers, wozu verschiedene Funktionen wie Indexierung, Suche, Text- +und Sprachverarbeitung oder Verknüpfung von Daten mit anderen Datenquellen gehören, oder KI-Systeme, die für +die Übersetzung von Erstdokumenten verwendet werden. In jedem Fall sollten KI-Systeme, die in den in einem +Anhang dieser Verordnung aufgeführten Anwendungsfälle mit hohem Risiko verwendet werden, als erhebliche +Risiken für die Gesundheit, Sicherheit oder Grundrechte gelten, wenn das KI-System Profiling im Sinne von Artikel 4 +Nummer 4 der Verordnung (EU) 2016/679 oder Artikel 3 Nummer 4 der Richtlinie (EU) 2016/680 oder Artikel 3 +Nummer 5 der Verordnung (EU) 2018/1725 beinhaltet. Um die Nachvollziehbarkeit und Transparenz zu +gewährleisten, sollte ein Anbieter, der der Auffassung ist, dass ein KI-System auf der Grundlage der oben genannten +Bedingungen kein hohes Risiko darstellt, eine Dokumentation der Bewertung erstellen, bevor dieses System in +Verkehr gebracht oder in Betrieb genommen wird, und die genannte Dokumentation den zuständigen nationalen +Behörden auf Anfrage zur Verfügung stellen. Ein solcher Anbieter sollte verpflichtet sein, das KI-System in der gemäß +dieser Verordnung eingerichteten EU-Datenbank zu registrieren. Um eine weitere Anleitung für die praktische +Umsetzung der Bedingungen zu geben, unter denen die in einem Anhang dieser Verordnung aufgeführten Systeme +ausnahmsweise kein hohes Risiko darstellen, sollte die Kommission nach Konsultation des KI-Gremiums Leitlinien +bereitstellen, in denen diese praktische Umsetzung detailliert aufgeführt ist und durch eine umfassende Liste +praktischer Beispiele für Anwendungsfälle von KI-Systemen, die ein hohes Risiko und Anwendungsfälle, die kein +hohes Risiko darstellen, ergänzt wird. + + +(54) Da biometrische Daten eine besondere Kategorie personenbezogener Daten darstellen, sollten einige kritische +Anwendungsfälle biometrischer Systeme als hochriskant eingestuft werden, sofern ihre Verwendung nach den +einschlägigen Rechtsvorschriften der Union und den nationalen Rechtsvorschriften zulässig ist. Technische +Ungenauigkeiten von KI-Systemen, die für die biometrische Fernidentifizierung natürlicher Personen bestimmt sind, +können zu verzerrten Ergebnissen führen und eine diskriminierende Wirkung haben. Das Risiko solcher verzerrter +Ergebnisse und solcher diskriminierender Wirkungen ist von besonderer Bedeutung, wenn es um das Alter, die +ethnische Herkunft, die Rasse, das Geschlecht oder Behinderungen geht. Biometrische Fernidentifizierungssysteme +sollten daher angesichts der von ihnen ausgehenden Risiken als hochriskant eingestuft werden. Diese Einstufung +umfasst keine KI-Systeme, die bestimmungsgemäß für die biometrische Verifizierung, wozu die Authentifizierung +gehört, verwendet werden sollen, deren einziger Zweck darin besteht, zu bestätigen, dass eine bestimmte natürliche +Person die Person ist, für die sie sich ausgibt, sowie zur Bestätigung der Identität einer natürlichen Person zu dem +alleinigen Zweck Zugang zu einem Dienst zu erhalten, ein Gerät zu entriegeln oder sicheren Zugang zu +Räumlichkeiten zu erhalten. Darüber hinaus sollten KI-Systeme, die bestimmungsgemäß für die biometrische +Kategorisierung nach sensiblen Attributen oder Merkmalen, die gemäß Artikel 9 Absatz 1 der Verordnung (EU) +2016/679 auf der Grundlage biometrischer Daten geschützt sind, und sofern sie nicht nach der vorliegenden +Verordnung verboten sind, sowie Emotionserkennungssysteme, die nach dieser Verordnung nicht verboten sind, als +hochriskant eingestuft werden. Biometrische Systeme, die ausschließlich dazu bestimmt sind, um Maßnahmen zur +Cybersicherheit und zum Schutz personenbezogener Daten durchführen zu können, sollten nicht als Hochrisiko- +KI-Systeme gelten. + + +(55) Was die Verwaltung und den Betrieb kritischer Infrastruktur anbelangt, so ist es angezeigt, KI-Systeme, die als +Sicherheitsbauteile für die Verwaltung und den Betrieb kritischer digitaler Infrastruktur gemäß Nummer 8 des +Anhangs der Richtlinie (EU) 2022/2557, des Straßenverkehrs sowie für die Wasser-, Gas-, Wärme- und +Stromversorgung verwendet werden sollen, als hochriskant einzustufen, da ihr Ausfall oder ihre Störung in großem +Umfang ein Risiko für das Leben und die Gesundheit von Personen darstellen und zu erheblichen Störungen bei der +normalen Durchführung sozialer und wirtschaftlicher Tätigkeiten führen kann. Sicherheitsbauteile kritischer +Infrastruktur, einschließlich kritischer digitaler Infrastruktur, sind Systeme, die verwendet werden, um die physische +Integrität kritischer Infrastruktur oder die Gesundheit und Sicherheit von Personen und Eigentum zu schützen, die +aber nicht notwendig sind, damit das System funktioniert. Ausfälle oder Störungen solcher Komponenten können + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 15/ + + + +direkt zu Risiken für die physische Integrität kritischer Infrastruktur und somit zu Risiken für die Gesundheit und +Sicherheit von Personen und Eigentum führen. Komponenten, die für die ausschließliche Verwendung zu Zwecken +der Cybersicherheit vorgesehen sind, sollten nicht als Sicherheitsbauteile gelten. Zu Beispielen von Sicherheitsbau- +teilen solcher kritischen Infrastruktur zählen etwa Systeme für die Überwachung des Wasserdrucks oder +Feuermelder-Kontrollsysteme in Cloud-Computing-Zentren. + + +(56) Der Einsatz von KI-Systemen in der Bildung ist wichtig, um eine hochwertige digitale allgemeine und berufliche +Bildung zu fördern und es allen Lernenden und Lehrkräften zu ermöglichen, die erforderlichen digitalen Fähigkeiten +und Kompetenzen, einschließlich Medienkompetenz und kritischem Denken, zu erwerben und auszutauschen, damit +sie sich aktiv an Wirtschaft, Gesellschaft und demokratischen Prozessen beteiligen können. Allerdings sollten +KI-Systeme, die in der allgemeinen oder beruflichen Bildung eingesetzt werden, um insbesondere den Zugang oder +die Zulassung zum Zweck der Zuordnung von Personen zu Bildungs- und Berufsbildungseinrichtungen oder +-programmen auf allen Ebenen zu bestimmen, die Lernergebnisse von Personen zu beurteilen, das angemessene +Bildungsniveau einer Person zu bewerten und das Niveau der Bildung und Ausbildung, das die Person erhält oder zu +dem sie Zugang erhält, wesentlich zu beeinflussen und verbotenes Verhalten von Schülern während Prüfungen zu +überwachen und zu erkennen als hochriskante KI-Systeme eingestuft werden, da sie über den Verlauf der Bildung +und des Berufslebens einer Person entscheiden und daher ihre Fähigkeit beeinträchtigen können, ihren +Lebensunterhalt zu sichern. Bei unsachgemäßer Konzeption und Verwendung können solche Systeme sehr intrusiv +sein und das Recht auf allgemeine und berufliche Bildung sowie das Recht auf Nichtdiskriminierung verletzen und +historische Diskriminierungsmuster fortschreiben, beispielsweise gegenüber Frauen, bestimmten Altersgruppen und +Menschen mit Behinderungen oder Personen mit einer bestimmten rassischen oder ethnischen Herkunft oder +sexuellen Ausrichtung. + + +(57) KI-Systeme, die in den Bereichen Beschäftigung, Personalmanagement und Zugang zur Selbstständigkeit eingesetzt +werden, insbesondere für die Einstellung und Auswahl von Personen, für Entscheidungen über die Bedingungen des +Arbeitsverhältnisses sowie die Beförderung und die Beendigung von Arbeitsvertragsverhältnissen, für die Zuweisung +von Arbeitsaufgaben auf der Grundlage von individuellem Verhalten, persönlichen Eigenschaften oder Merkmalen +sowie für die Überwachung oder Bewertung von Personen in Arbeitsvertragsverhältnissen sollten ebenfalls als +hochriskant eingestuft werden, da diese Systeme die künftigen Karriereaussichten und die Lebensgrundlagen dieser +Personen und die Arbeitnehmerrechte spürbar beeinflussen können. Einschlägige Arbeitsvertragsverhältnisse sollten +in sinnvoller Weise Beschäftigte und Personen erfassen, die Dienstleistungen über Plattformen erbringen, auf die im +Arbeitsprogramm der Kommission für 2021 Bezug genommen wird. Solche Systeme können während des gesamten +Einstellungsverfahrens und bei der Bewertung, Beförderung oder Weiterbeschäftigung von Personen in +Arbeitsvertragsverhältnissen historische Diskriminierungsmuster fortschreiben, beispielsweise gegenüber Frauen, +bestimmten Altersgruppen und Menschen mit Behinderungen oder Personen mit einer bestimmten rassischen oder +ethnischen Herkunft oder sexuellen Ausrichtung. KI-Systeme zur Überwachung der Leistung und des Verhaltens +solcher Personen können auch deren Grundrechte auf Datenschutz und Privatsphäre untergraben. + + +(58) Ein weiterer Bereich, in dem der Einsatz von KI-Systemen besondere Aufmerksamkeit verdient, ist der Zugang zu +und die Nutzung von bestimmten grundlegenden privaten und öffentlichen Diensten und Leistungen, die +erforderlich sind, damit Menschen uneingeschränkt an der Gesellschaft teilhaben oder ihren Lebensstandard +verbessern können. Insbesondere natürliche Personen, die grundlegende staatliche Unterstützungsleistungen und +-dienste von Behörden beantragen oder erhalten, wie etwa Gesundheitsdienste, Leistungen der sozialen Sicherheit, +soziale Dienste, die Schutz in Fällen wie Mutterschaft, Krankheit, Arbeitsunfall, Pflegebedürftigkeit oder Alter und +Arbeitsplatzverlust sowie Sozialhilfe und Wohngeld bieten, sind in der Regel von diesen Leistungen und Diensten +abhängig und befinden sich gegenüber den zuständigen Behörden in einer prekären Lage. Wenn KI-Systeme +eingesetzt werden, um zu bestimmen, ob solche Leistungen und Dienste von den Behörden gewährt, verweigert, +gekürzt, widerrufen oder zurückgefordert werden sollten, einschließlich der Frage, ob Begünstigte rechtmäßig +Anspruch auf solche Leistungen oder Dienste haben, können diese Systeme erhebliche Auswirkungen auf die +Lebensgrundlage von Personen haben und ihre Grundrechte wie etwa das Recht auf sozialen Schutz, +Nichtdiskriminierung, Menschenwürde oder einen wirksamen Rechtsbehelf verletzen und sollten daher als +hochriskant eingestuft werden. Dennoch sollte diese Verordnung die Entwicklung und Verwendung innovativer +Ansätze in der öffentlichen Verwaltung nicht behindern, die von einer breiteren Verwendung konformer und +sicherer KI-Systeme profitieren würde, sofern diese Systeme kein hohes Risiko für juristische und natürliche +Personen bergen. Darüber hinaus sollten KI-Systeme, die zur Bewertung der Bonität oder Kreditwürdigkeit +natürlicher Personen verwendet werden, als Hochrisiko-KI-Systeme eingestuft werden, da sie den Zugang dieser +Personen zu Finanzmitteln oder wesentlichen Dienstleistungen wie etwa Wohnraum, Elektrizität und Telekom- +munikationsdienstleistungen bestimmen. KI-Systeme, die für diese Zwecke eingesetzt werden, können zur +Diskriminierung von Personen oder Gruppen führen und historische Diskriminierungsmuster, wie etwa aufgrund +der rassischen oder ethnischen Herkunft, des Geschlechts, einer Behinderung, des Alters oder der sexuellen +Ausrichtung, fortschreiben oder neue Formen von Diskriminierung mit sich bringen. Allerdings sollten KI-Systeme, +die nach Unionsrecht zur Aufdeckung von Betrug beim Angebot von Finanzdienstleistungen oder für +Aufsichtszwecke zur Berechnung der Eigenkapitalanforderungen von Kreditinstituten und Versicherungsunter- +nehmen vorgesehen sind, nicht als Hochrisiko-Systeme gemäß dieser Verordnung angesehen werden. Darüber hinaus + +# DE ABl. L vom 12.7. + +16/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +können KI-Systeme, die für die Risikobewertung und Preisbildung in Bezug auf natürliche Personen im Fall von +Kranken- und Lebensversicherungen eingesetzt werden, auch erhebliche Auswirkungen auf die Existenzgrundlage +der Menschen haben und bei nicht ordnungsgemäßer Konzeption, Entwicklung und Verwendung schwerwiegende +Konsequenzen für das Leben und die Gesundheit von Menschen nach sich ziehen, einschließlich finanzieller +Ausgrenzung und Diskriminierung. Schließlich sollten KI-Systeme, die bei der Bewertung und Einstufung von +Notrufen durch natürliche Personen oder der Entsendung oder der Priorisierung der Entsendung von Not- und +Rettungsdiensten wie Polizei, Feuerwehr und medizinischer Nothilfe sowie für die Triage von Patienten bei der +Notfallversorgung eingesetzt werden, ebenfalls als hochriskant eingestuft werden, da sie in für das Leben und die +Gesundheit von Personen und für ihr Eigentum sehr kritischen Situationen Entscheidungen treffen. + + +(59) In Anbetracht der Rolle und Zuständigkeit von Strafverfolgungsbehörden sind deren Maßnahmen im +Zusammenhang mit bestimmten Verwendungen von KI-Systemen durch ein erhebliches Machtungleichgewicht +gekennzeichnet und können zur Überwachung, zur Festnahme oder zum Entzug der Freiheit einer natürlichen +Person sowie zu anderen nachteiligen Auswirkungen auf die in der Charta verankerten Grundrechte führen. +Insbesondere wenn das KI-System nicht mit hochwertigen Daten trainiert wird, die Anforderungen an seine +Leistung, Genauigkeit oder Robustheit nicht erfüllt werden oder das System nicht ordnungsgemäß konzipiert und +getestet wird, bevor es in Verkehr gebracht oder in anderer Weise in Betrieb genommen wird, kann es Personen in +diskriminierender oder anderweitig falscher oder ungerechter Weise ausgrenzen. Darüber hinaus könnte die +Ausübung wichtiger verfahrensrechtlicher Grundrechte wie etwa des Rechts auf einen wirksamen Rechtsbehelf und +ein unparteiisches Gericht sowie das Verteidigungsrecht und die Unschuldsvermutung behindert werden, +insbesondere wenn solche KI-Systeme nicht hinreichend transparent, erklärbar und dokumentiert sind. Daher ist +es angezeigt, eine Reihe von KI-Systemen — sofern deren Einsatz nach einschlägigem Unions- oder nationalem +Recht zugelassen ist —, die im Rahmen der Strafverfolgung eingesetzt werden sollen und bei denen Genauigkeit, +Zuverlässigkeit und Transparenz besonders wichtig sind, als hochriskant einzustufen, um nachteilige Auswirkungen +zu vermeiden, das Vertrauen der Öffentlichkeit zu erhalten und die Rechenschaftspflicht und einen wirksamen +Rechtsschutz zu gewährleisten. Angesichts der Art der Tätigkeiten und der damit verbundenen Risiken sollten diese +Hochrisiko-KI-Systeme insbesondere KI-Systeme umfassen, die von Strafverfolgungsbehörden oder in ihrem Auftrag +oder von Organen, Einrichtungen und sonstigen Stellen der Union zur Unterstützung von Strafverfolgungsbehörden +für folgende Zwecke eingesetzt werden: zur Bewertung des Risikos, dass eine natürliche Person Opfer von Straftaten +wird, wie Lügendetektoren und ähnliche Instrumente, zur Bewertung der Zuverlässigkeit von Beweismitteln im +Rahmen der Ermittlung oder Verfolgung von Straftaten und — soweit nach dieser Verordnung nicht untersagt — zur +Bewertung des Risikos, dass eine natürliche Person eine Straftat begeht oder erneut begeht, nicht nur auf der +Grundlage der Erstellung von Profilen natürlicher Personen oder zur Bewertung von Persönlichkeitsmerkmalen und +Eigenschaften oder vergangenem kriminellen Verhalten von natürlichen Personen oder Gruppen, zur Erstellung von +Profilen während der Aufdeckung, Untersuchung oder strafrechtlichen Verfolgung einer Straftat. KI-Systeme, die +speziell für Verwaltungsverfahren in Steuer- und Zollbehörden sowie in Zentralstellen für Geldwäsche-Verdachts- +anzeigen, die Verwaltungsaufgaben zur Analyse von Informationen gemäß dem Unionsrecht zur Bekämpfung der +Geldwäsche durchführen, bestimmt sind, sollten nicht als Hochrisiko-KI-Systeme eingestuft werden, die von +Strafverfolgungsbehörden zum Zweck der Verhütung, Aufdeckung, Untersuchung und strafrechtlichen Verfolgung +von Straftaten eingesetzt werden. Der Einsatz von KI-Instrumenten durch Strafverfolgungsbehörden und anderen +relevanten Behörden sollte nicht zu einem Faktor der Ungleichheit oder Ausgrenzung werden. Die Auswirkungen des +Einsatzes von KI-Instrumenten auf die Verteidigungsrechte von Verdächtigen sollten nicht außer Acht gelassen +werden, insbesondere nicht die Schwierigkeit, aussagekräftige Informationen über die Funktionsweise solcher +Systeme zu erhalten, und die daraus resultierende Schwierigkeit einer gerichtlichen Anfechtung ihrer Ergebnisse, +insbesondere durch natürliche Personen, gegen die ermittelt wird. + + +(60) KI-Systeme, die in den Bereichen Migration, Asyl und Grenzkontrolle eingesetzt werden, betreffen Personen, die sich +häufig in einer besonders prekären Lage befinden und vom Ergebnis der Maßnahmen der zuständigen Behörden +abhängig sind. Die Genauigkeit, der nichtdiskriminierende Charakter und die Transparenz der KI-Systeme, die in +solchen Zusammenhängen eingesetzt werden, sind daher besonders wichtig, um die Achtung der Grundrechte der +betroffenen Personen, insbesondere ihrer Rechte auf Freizügigkeit, Nichtdiskriminierung, Schutz des Privatlebens +und personenbezogener Daten, internationalen Schutz und gute Verwaltung, zu gewährleisten. Daher ist es +angezeigt, KI-Systeme — sofern deren Einsatz nach einschlägigem Unions- oder nationalem Recht zugelassen ist — +als hochriskant einzustufen, die von den zuständigen mit Aufgaben in den Bereichen Migration, Asyl und +Grenzkontrolle betrauten Behörden oder in deren Auftrag oder von Organen, Einrichtungen oder sonstigen Stellen +der Union für Folgendes eingesetzt werden: als Lügendetektoren und ähnliche Instrumente; zur Bewertung +bestimmter Risiken, die von natürlichen Personen ausgehen, die in das Hoheitsgebiet eines Mitgliedstaats einreisen +oder ein Visum oder Asyl beantragen; zur Unterstützung der zuständigen Behörden bei der Prüfung — einschließlich +der damit zusammenhängenden Bewertung der Zuverlässigkeit von Beweismitteln — von Asyl- und Visumanträgen +sowie Aufenthaltstiteln und damit verbundenen Beschwerden im Hinblick darauf, die Berechtigung der den Antrag +stellenden natürlichen Personen festzustellen; zum Zweck der Aufdeckung, Anerkennung oder Identifizierung +natürlicher Personen im Zusammenhang mit Migration, Asyl und Grenzkontrolle, mit Ausnahme der Überprüfung +von Reisedokumenten. KI-Systeme im Bereich Migration, Asyl und Grenzkontrolle, die unter diese Verordnung +fallen, sollten den einschlägigen Verfahrensvorschriften der Verordnung (EG) Nr. 810/2009 des Europäischen + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 17/ + + + +Parlaments und des Rates (^32 ), der Richtlinie 2013/32/EU des Europäischen Parlaments und des Rates (^33 ) und +anderem einschlägigen Unionsrecht entsprechen. Der Einsatz von KI-Systemen in den Bereichen Migration, Asyl und +Grenzkontrolle sollte unter keinen Umständen von den Mitgliedstaaten oder Organen, Einrichtungen oder sonstigen +Stellen der Union als Mittel zur Umgehung ihrer internationalen Verpflichtungen aus dem am 28. Juli 1951 in Genf +unterzeichneten Abkommen der Vereinten Nationen über die Rechtsstellung der Flüchtlinge in der durch das +Protokoll vom 31. Januar 1967 geänderten Fassung genutzt werden. Die Systeme sollten auch nicht dazu genutzt +werden, in irgendeiner Weise gegen den Grundsatz der Nichtzurückweisung zu verstoßen oder sichere und wirksame +legale Wege in das Gebiet der Union, einschließlich des Rechts auf internationalen Schutz, zu verweigern. + + +(61) Bestimmte KI-Systeme, die für die Rechtspflege und demokratische Prozesse bestimmt sind, sollten angesichts ihrer +möglichen erheblichen Auswirkungen auf die Demokratie, die Rechtsstaatlichkeit, die individuellen Freiheiten sowie +das Recht auf einen wirksamen Rechtsbehelf und ein unparteiisches Gericht als hochriskant eingestuft werden. Um +insbesondere den Risiken möglicher Verzerrungen, Fehler und Undurchsichtigkeiten zu begegnen, sollten +KI-Systeme, die von einer Justizbehörde oder in ihrem Auftrag dazu genutzt werden sollen, Justizbehörden bei +der Ermittlung und Auslegung von Sachverhalten und Rechtsvorschriften und bei der Anwendung des Rechts auf +konkrete Sachverhalte zu unterstützen, als hochriskant eingestuft werden. KI-Systeme, die von Stellen für die +alternative Streitbeilegung für diese Zwecke genutzt werden sollen, sollten ebenfalls als hochriskant gelten, wenn die +Ergebnisse der alternativen Streitbeilegung Rechtswirkung für die Parteien entfalten. Der Einsatz von +KI-Instrumenten kann die Entscheidungsgewalt von Richtern oder die Unabhängigkeit der Justiz unterstützen, +sollte sie aber nicht ersetzen; die endgültige Entscheidungsfindung muss eine von Menschen gesteuerte Tätigkeit +bleiben. Die Einstufung von KI-Systemen als hochriskant sollte sich jedoch nicht auf KI-Systeme erstrecken, die für +rein begleitende Verwaltungstätigkeiten bestimmt sind, die die tatsächliche Rechtspflege in Einzelfällen nicht +beeinträchtigen, wie etwa die Anonymisierung oder Pseudonymisierung gerichtlicher Urteile, Dokumente oder +Daten, die Kommunikation zwischen dem Personal oder Verwaltungsaufgaben. + + +(62) Unbeschadet der Vorschriften der Verordnung (EU) 2024/900 des Europäischen Parlaments und des Rates (^34 ) und +um den Risiken eines unzulässigen externen Eingriffs in das in Artikel 39 der Charta verankerte Wahlrecht und +nachteiligen Auswirkungen auf die Demokratie und die Rechtsstaatlichkeit zu begegnen, sollten KI-Systeme, die +verwendet werden sollen, um das Ergebnis einer Wahl oder eines Referendums oder das Wahlverhalten natürlicher +Personen bei der Ausübung ihres Wahlrechts in einer Wahl oder in Referenden zu beeinflussen, als +Hochrisiko-KI-Systeme eingestuft werden, mit Ausnahme von KI-Systemen, deren Ausgaben natürliche Personen +nicht direkt ausgesetzt sind, wie Instrumente zur Organisation, Optimierung und Strukturierung politischer +Kampagnen in administrativer und logistischer Hinsicht. + + +(63) Die Tatsache, dass ein KI-System gemäß dieser Verordnung als ein Hochrisiko-KI-System eingestuft wird, sollte nicht +dahin gehend ausgelegt werden, dass die Verwendung des Systems nach anderen Rechtsakten der Union oder nach +nationalen Rechtsvorschriften, die mit dem Unionsrecht vereinbar sind, rechtmäßig ist, beispielsweise in Bezug auf +den Schutz personenbezogener Daten, die Verwendung von Lügendetektoren und ähnlichen Instrumenten oder +anderen Systemen zur Ermittlung des emotionalen Zustands natürlicher Personen. Eine solche Verwendung sollte +weiterhin ausschließlich gemäß den geltenden Anforderungen erfolgen, die sich aus der Charta, dem anwendbaren +Sekundärrecht der Union und nationalen Recht ergeben. Diese Verordnung sollte nicht so verstanden werden, dass +sie eine Rechtsgrundlage für die Verarbeitung personenbezogener Daten, gegebenenfalls einschließlich besonderer +Kategorien personenbezogener Daten, bildet, es sei denn, in dieser Verordnung ist ausdrücklich etwas anderes +vorgesehen. + + +(64) Um die von in Verkehr gebrachten oder in Betrieb genommenen Hochrisiko-KI-Systemen ausgehenden Risiken zu +mindern und ein hohes Maß an Vertrauenswürdigkeit zu gewährleisten, sollten für Hochrisiko-KI-Systeme +bestimmte verbindliche Anforderungen gelten, wobei der Zweckbestimmung und dem Nutzungskontext des +KI-Systems sowie dem vom Anbieter einzurichtenden Risikomanagementsystem Rechnung zu tragen ist. Die von +den Anbietern zur Erfüllung der verbindlichen Anforderungen dieser Verordnung ergriffenen Maßnahmen sollten +dem allgemein anerkannten Stand der KI Rechnung tragen, verhältnismäßig und wirksam sein, um die Ziele dieser +Verordnung zu erreichen. Auf der Grundlage des neuen Rechtsrahmens, wie in der Bekanntmachung der +Kommission „Leitfaden für die Umsetzung der Produktvorschriften der EU 2022 (Blue Guide)“ dargelegt, gilt als +allgemeine Regel, dass mehr als ein Rechtsakt der Harmonisierungsrechtsvorschriften der Union auf ein Produkt +anwendbar sein können, da die Bereitstellung oder Inbetriebnahme nur erfolgen kann, wenn das Produkt allen +geltenden Harmonisierungsrechtsvorschriften der Union entspricht. Die Gefahren von KI-Systemen, die unter die +Anforderungen dieser Verordnung fallen, decken andere Aspekte ab als die bestehenden Harmonisierungsrechts- +vorschriften der Union, weshalb die Anforderungen dieser Verordnung das bestehende Regelwerk der +Harmonisierungsrechtsvorschriften der Union ergänzen würden. So bergen etwa Maschinen oder Medizinprodukte +mit einer KI-Komponente möglicherweise Risiken, die von den grundlegenden Gesundheits- und Sicherheitsan- + +# DE ABl. L vom 12.7. + +18/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^32 ) Verordnung (EG) Nr. 810/2009 des Europäischen Parlaments und des Rates vom 13. Juli 2009 über einen Visakodex der +Gemeinschaft (Visakodex) (ABl. L 243 vom 15.9.2009, S. 1). +(^33 ) Richtlinie 2013/32/EU des Europäischen Parlaments und des Rates vom 26. Juni 2013 zu gemeinsamen Verfahren für die +Zuerkennung und Aberkennung des internationalen Schutzes (ABl. L 180 vom 29.6.2013, S. 60). +(^34 ) Verordnung (EU) 2024/900 des Europäischen Parlaments und des Rates vom 13. März 2024 über die Transparenz und das Targeting +politischer Werbung (ABl. L, 2024/900, 20.3.2024, ELI: http://data.europa.eu/eli/reg/2024/900/oj). + + + +forderungen der einschlägigen harmonisierten Rechtsvorschriften der Union nicht erfasst werden, da diese sektoralen +Rechtsvorschriften keine spezifischen KI-Risiken behandeln. Dies erfordert die gleichzeitige und ergänzende +Anwendung mehrerer Rechtsakte. Um Kohärenz zu gewährleisten und unnötigen Verwaltungsaufwand sowie +unnötige Kosten zu vermeiden, sollten die Anbieter eines Produkts, das ein oder mehrere Hochrisiko-KI-Systeme +enthält, für die die Anforderungen dieser Verordnung und der in einem Anhang dieser Verordnung aufgeführten und +auf dem neuen Rechtsrahmen beruhenden Harmonisierungsvorschriften der Union gelten, in Bezug auf betriebliche +Entscheidungen darüber flexibel sein, wie die Konformität eines Produkts, das ein oder mehrere Hochrisiko- +KI-Systeme enthält, bestmöglich mit allen geltenden Anforderungen dieser harmonisierten Rechtsvorschriften der +Union sichergestellt werden kann. Diese Flexibilität könnte beispielsweise bedeuten, dass der Anbieter beschließt, +einen Teil der gemäß dieser Verordnung erforderlichen Test- und Berichterstattungsverfahren, Informationen und +Unterlagen in bereits bestehende Dokumentationen und Verfahren zu integrieren, die nach den auf dem neuen +Rechtsrahmen beruhenden und in einem Anhang dieser Verordnung aufgeführten geltenden Harmonisierungs- +rechtsvorschriften der Union erforderlich sind. Dies sollte in keiner Weise die Verpflichtung des Anbieters +untergraben, alle geltenden Anforderungen zu erfüllen. + + +(65) Das Risikomanagementsystem sollte in einem kontinuierlichen iterativen Prozess bestehen, der während des +gesamten Lebenszyklus eines Hochrisiko-KI-Systems geplant und durchgeführt wird. Ziel dieses Prozesses sollte es +ein, die einschlägigen Risiken von KI-Systemen für Gesundheit, Sicherheit und Grundrechte zu ermitteln und zu +mindern. Das Risikomanagementsystem sollte regelmäßig überprüft und aktualisiert werden, um seine dauerhafte +Wirksamkeit sowie die Begründetheit und Dokumentierung aller gemäß dieser Verordnung getroffenen wesentlichen +Entscheidungen und Maßnahmen zu gewährleisten. Mit diesem Prozess sollte sichergestellt werden, dass der +Anbieter Risiken oder negative Auswirkungen ermittelt und Minderungsmaßnahmen ergreift in Bezug auf die +bekannten und vernünftigerweise vorhersehbaren Risiken von KI-Systemen für die Gesundheit, die Sicherheit und +die Grundrechte angesichts ihrer Zweckbestimmung und vernünftigerweise vorhersehbaren Fehlanwendung, +einschließlich der möglichen Risiken, die sich aus der Interaktion zwischen dem KI-System und der Umgebung, in +der es betrieben wird, ergeben könnten. Im Rahmen des Risikomanagementsystems sollten die vor dem Hintergrund +des Stands der KI am besten geeigneten Risikomanagementmaßnahmen ergriffen werden. Bei der Ermittlung der am +besten geeigneten Risikomanagementmaßnahmen sollte der Anbieter die getroffenen Entscheidungen doku- +mentieren und erläutern und gegebenenfalls Sachverständige und externe Interessenträger hinzuziehen. Bei der +Ermittlung der vernünftigerweise vorhersehbaren Fehlanwendung von Hochrisiko-KI-Systemen sollte der Anbieter +die Verwendungen von KI-Systemen erfassen, die zwar nicht unmittelbar der Zweckbestimmung entsprechen und in +der Betriebsanleitung vorgesehen sind, jedoch nach vernünftigem Ermessen davon auszugehen ist, dass sie sich aus +einem leicht absehbaren menschlichen Verhalten im Zusammenhang mit den spezifischen Merkmalen und der +Verwendung eines bestimmten KI-Systems ergeben. Alle bekannten oder vorhersehbaren Umstände bezüglich der +Verwendung des Hochrisiko-KI-Systems im Einklang mit seiner Zweckbestimmung oder einer vernünftigerweise +vorhersehbaren Fehlanwendung, die zu Risiken für die Gesundheit und Sicherheit oder die Grundrechte führen +können, sollten vom Anbieter in der Betriebsanleitung aufgeführt werden. Damit soll sichergestellt werden, dass der +Betreiber diese Umstände bei der Nutzung des Hochrisiko-KI-Systems kennt und berücksichtigt. Die Ermittlung und +Umsetzung von Risikominderungsmaßnahmen in Bezug auf vorhersehbare Fehlanwendungen im Rahmen dieser +Verordnung sollte keine spezifische zusätzliche Schulung für das Hochrisiko-KI-System durch den Anbieter +erfordern, um gegen vorhersehbare Fehlanwendungen vorzugehen. Die Anbieter sind jedoch gehalten, solche +zusätzlichen Schulungsmaßnahmen in Erwägung zu ziehen, um einer vernünftigerweise vorhersehbare Fehlan- +wendung entgegenzuwirken, soweit dies erforderlich und angemessen ist. + + +(66) Die Anforderungen sollten für Hochrisiko-KI-Systeme im Hinblick auf das Risikomanagement, die Qualität und +Relevanz der verwendeten Datensätze, die technische Dokumentation und die Aufzeichnungspflichten, die +Transparenz und die Bereitstellung von Informationen für die Betreiber, die menschliche Aufsicht sowie die +Robustheit, Genauigkeit und Sicherheit gelten. Diese Anforderungen sind erforderlich, um die Risiken für +Gesundheit, Sicherheit und Grundrechte wirksam zu mindern. Nachdem nach vernünftigem Ermessen keine anderen +weniger handelsbeschränkenden Maßnahmen zur Verfügung stehen, stellen sie keine ungerechtfertigten Handels- +beschränkungen dar. + + +(67) Hochwertige Daten und der Zugang dazu spielen eine zentrale Rolle bei der Bereitstellung von Strukturen und für +die Sicherstellung der Leistung vieler KI-Systeme, insbesondere wenn Techniken eingesetzt werden, bei denen +Modelle mit Daten trainiert werden, um sicherzustellen, dass das Hochrisiko-KI-System bestimmungsgemäß und +sicher funktioniert und nicht zur Ursache für Diskriminierung wird, die nach dem Unionsrecht verboten ist. +Hochwertige Trainings-, Validierungs- und Testdatensätze erfordern geeignete Daten-Governance- und Daten- +verwaltungsverfahren. Die Trainings-, Validierungs- und Testdatensätze, einschließlich der Kennzeichnungen, sollten +im Hinblick auf die Zweckbestimmung des Systems relevant, hinreichend repräsentativ und so weit wie möglich +fehlerfrei und vollständig sein. Um die Einhaltung des Datenschutzrechts der Union, wie der Verordnung +(EU) 2016/679, zu erleichtern, sollten Daten-Governance- und Datenverwaltungsverfahren bei personenbezogenen +Daten Transparenz in Bezug auf den ursprünglichen Zweck der Datenerhebung umfassen. Die Datensätze sollten +auch die geeigneten statistischen Merkmale haben, auch bezüglich der Personen oder Personengruppen, auf die das +Hochrisiko-KI-System bestimmungsgemäß angewandt werden soll, unter besonderer Berücksichtigung der +Minderung möglicher Verzerrungen in den Datensätzen, die die Gesundheit und Sicherheit von Personen +beeinträchtigen, sich negativ auf die Grundrechte auswirken oder zu einer nach dem Unionsrecht verbotenen +Diskriminierung führen könnten, insbesondere wenn die Datenausgaben die Eingaben für künftige Operationen + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 19/ + + + +beeinflussen (Rückkopplungsschleifen). Verzerrungen können zum Beispiel — insbesondere bei Verwendung +historischer Daten — den zugrunde liegenden Datensätzen innewohnen oder bei der Implementierung der Systeme +in der realen Welt generiert werden. Die von einem KI-System ausgegebenen Ergebnisse könnten durch solche +inhärenten Verzerrungen beeinflusst werden, die tendenziell allmählich zunehmen und dadurch bestehende +Diskriminierungen fortschreiben und verstärken, insbesondere in Bezug auf Personen, die bestimmten schutz- +bedürftigen Gruppen wie aufgrund von Rassismus benachteiligten oder ethnischen Gruppen angehören. Die +Anforderung, dass die Datensätze so weit wie möglich vollständig und fehlerfrei sein müssen, sollte sich nicht auf +den Einsatz von Techniken zur Wahrung der Privatsphäre im Zusammenhang mit der Entwicklung und dem Testen +von KI-Systemen auswirken. Insbesondere sollten die Datensätze, soweit dies für die Zweckbestimmung erforderlich +ist, den Eigenschaften, Merkmalen oder Elementen entsprechen, die für die besonderen geografischen, kontextuellen, +verhaltensbezogenen oder funktionalen Rahmenbedingungen, unter denen das Hochrisiko-KI-System bestimmungs- +gemäß verwendet werden soll, typisch sind. Die Anforderungen an die Daten-Governance können durch die +Inanspruchnahme Dritter erfüllt werden, die zertifizierte Compliance-Dienste anbieten, einschließlich der +Überprüfung der Daten-Governance, der Datensatzintegrität und der Datenschulungs-, Validierungs- und +Testverfahren, sofern die Einhaltung der Datenanforderungen dieser Verordnung gewährleistet ist. + + +(68) Für die Entwicklung und Bewertung von Hochrisiko-KI-Systemen sollten bestimmte Akteure wie etwa Anbieter, +notifizierte Stellen und andere einschlägige Einrichtungen wie etwa Europäische Digitale Innovationszentren, Test- +und Versuchseinrichtungen und Forscher in der Lage sein, in den Tätigkeitsbereichen, in denen diese Akteure tätig +sind und die mit dieser Verordnung in Zusammenhang stehen, auf hochwertige Datensätze zuzugreifen und diese zu +nutzen. Die von der Kommission eingerichteten gemeinsamen europäischen Datenräume und die Erleichterung des +Datenaustauschs im öffentlichen Interesse zwischen Unternehmen und mit Behörden werden entscheidend dazu +beitragen, einen vertrauensvollen, rechenschaftspflichtigen und diskriminierungsfreien Zugang zu hochwertigen +Daten für das Training, die Validierung und das Testen von KI-Systemen zu gewährleisten. Im Gesundheitsbereich +beispielsweise wird der europäische Raum für Gesundheitsdaten den diskriminierungsfreien Zugang zu Gesund- +heitsdaten und das Training von KI-Algorithmen mithilfe dieser Datensätze erleichtern, und zwar unter Wahrung der +Privatsphäre, auf sichere, zeitnahe, transparente und vertrauenswürdige Weise und unter angemessener +institutioneller Leitung. Die einschlägigen zuständigen Behörden, einschließlich sektoraler Behörden, die den +Zugang zu Daten bereitstellen oder unterstützen, können auch die Bereitstellung hochwertiger Daten für das +Training, die Validierung und das Testen von KI-Systemen unterstützen. + + +(69) Das Recht auf Privatsphäre und den Schutz personenbezogener Daten muss während des gesamten Lebenszyklus des +KI-Systems sichergestellt sein. In dieser Hinsicht gelten die Grundsätze der Datenminimierung und des +Datenschutzes durch Technikgestaltung und Voreinstellungen, wie sie im Datenschutzrecht der Union festgelegt +sind, wenn personenbezogene Daten verarbeitet werden. Unbeschadet der in dieser Verordnung festgelegten +Anforderungen an die Daten-Governance können zu den Maßnahmen, mit denen die Anbieter die Einhaltung dieser +Grundsätze sicherstellen, nicht nur Anonymisierung und Verschlüsselung gehören, sondern auch der Einsatz von +Technik, die es ermöglicht, Algorithmen direkt am Ort der Datenerzeugung einzusetzen und KI-Systeme zu +trainieren, ohne dass Daten zwischen Parteien übertragen oder die Rohdaten oder strukturierten Daten selbst kopiert +werden. + + +(70) Um das Recht anderer auf Schutz vor Diskriminierung, die sich aus Verzerrungen in KI-Systemen ergeben könnte, zu +wahren, sollten die Anbieter ausnahmsweise und in dem unbedingt erforderlichen Ausmaß, um die Erkennung und +Korrektur von Verzerrungen im Zusammenhang mit Hochrisiko-KI-Systemen sicherzustellen, vorbehaltlich +angemessener Vorkehrungen für den Schutz der Grundrechte und Grundfreiheiten natürlicher Personen und nach +Anwendung aller in dieser Verordnung festgelegten geltenden Bedingungen zusätzlich zu den in den Verordnungen +(EU) 2016/679 und (EU) 2018/1725 sowie der Richtlinie (EU) 2016/680 festgelegten Bedingungen besondere +Kategorien personenbezogener Daten als Angelegenheit von erheblichem öffentlichen Interesse im Sinne des +Artikels 9 Absatz 2 Buchstabe g der Verordnung (EU) 2016/679 und des Artikels 10 Absatz 2 Buchstabe g der +Verordnung (EU) 2018/1725 verarbeiten können. + + +(71) Umfassende Informationen darüber, wie Hochrisiko-KI-Systeme entwickelt wurden und wie sie während ihrer +gesamten Lebensdauer funktionieren, sind unerlässlich, um die Nachvollziehbarkeit dieser Systeme, die Überprüfung +der Einhaltung der Anforderungen dieser Verordnung sowie die Beobachtung ihres Betriebs und ihre Beobachtung +nach dem Inverkehrbringen zu ermöglichen. Dies erfordert die Führung von Aufzeichnungen und die Verfügbarkeit +einer technischen Dokumentation, die alle erforderlichen Informationen enthält, um die Einhaltung der +einschlägigen Anforderungen durch das KI-System zu beurteilen und die Beobachtung nach dem Inverkehrbringen +zu erleichtern. Diese Informationen sollten die allgemeinen Merkmale, Fähigkeiten und Grenzen des Systems, die +verwendeten Algorithmen, Daten und Trainings-, Test- und Validierungsverfahren sowie die Dokumentation des +einschlägigen Risikomanagementsystems umfassen und in klarer und umfassender Form abgefasst sein. Die +technische Dokumentation sollte während der gesamten Lebensdauer des KI-Systems angemessen auf dem neuesten +Stand gehalten werden. Darüber hinaus sollten die Hochrisiko-KI-Systeme technisch die automatische Aufzeichnung +von Ereignissen mittels Protokollierung während der Lebensdauer des Systems ermöglichen. + +# DE ABl. L vom 12.7. + +20/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(72) Um Bedenken hinsichtlich der Undurchsichtigkeit und Komplexität bestimmter KI-Systeme auszuräumen und die +Betreiber bei der Erfüllung ihrer Pflichten gemäß dieser Verordnung zu unterstützen, sollte für Hochrisiko- +KI-Systeme Transparenz vorgeschrieben werden, bevor sie in Verkehr gebracht oder in Betrieb genommen werden. +Hochrisiko-KI-Systeme sollten so gestaltet sein, dass die Betreiber in der Lage sind, zu verstehen, wie das KI-System +funktioniert, seine Funktionalität zu bewerten und seine Stärken und Grenzen zu erfassen. Hochrisiko-KI-Systemen +sollten angemessene Informationen in Form von Betriebsanleitungen beigefügt sein. Zu diesen Informationen sollten +die Merkmale, Fähigkeiten und Leistungsbeschränkungen des KI-Systems gehören. Diese würden Informationen über +mögliche bekannte und vorhersehbare Umstände im Zusammenhang mit der Nutzung des Hochrisiko-KI-Systems, +einschließlich Handlungen des Betreibers, die das Verhalten und die Leistung des Systems beeinflussen können, unter +denen das KI-System zu Risiken in Bezug auf die Gesundheit, die Sicherheit und die Grundrechte führen kann, über +die Änderungen, die vom Anbieter vorab festgelegt und auf Konformität geprüft wurden, und über die einschlägigen +Maßnahmen der menschlichen Aufsicht, einschließlich der Maßnahmen, um den Betreibern die Interpretation der +Ausgaben von KI-Systemen zu erleichtern, umfassen. Transparenz, einschließlich der begleitenden Betriebsan- +leitungen, sollte den Betreibern bei der Nutzung des Systems helfen und ihre fundierte Entscheidungsfindung +unterstützen. Unter anderem sollten Betreiber besser in der Lage sein, das richtige System auszuwählen, das sie +angesichts der für sie geltenden Pflichten verwenden wollen, über die beabsichtigten und ausgeschlossenen +Verwendungszwecke informiert sein und das KI-System korrekt und angemessen verwenden. Um die Lesbarkeit und +Zugänglichkeit der in der Betriebsanleitung enthaltenen Informationen zu verbessern, sollten diese gegebenenfalls +anschauliche Beispiele enthalten, zum Beispiel zu den Beschränkungen sowie zu den beabsichtigten und +ausgeschlossenen Verwendungen des KI-Systems. Die Anbieter sollten dafür sorgen, dass in der gesamten +Dokumentation, einschließlich der Betriebsanleitungen, aussagekräftige, umfassende, zugängliche und verständliche +Informationen enthalten sind, wobei die Bedürfnisse und vorhersehbaren Kenntnisse der Zielbetreiber zu +berücksichtigen sind. Die Betriebsanleitungen sollten in einer vom betreffenden Mitgliedstaat festgelegten Sprache +zur Verfügung gestellt werden, die von den Zielbetreibern leicht verstanden werden kann. + + +(73) Hochrisiko-KI-Systeme sollten so gestaltet und entwickelt werden, dass natürliche Personen ihre Funktionsweise +überwachen und sicherstellen können, dass sie bestimmungsgemäß verwendet werden und dass ihre Auswirkungen +während des Lebenszyklus des Systems berücksichtigt werden. Zu diesem Zweck sollte der Anbieter des Systems vor +dem Inverkehrbringen oder der Inbetriebnahme geeignete Maßnahmen zur Gewährleistung der menschlichen +Aufsicht festlegen. Insbesondere sollten solche Maßnahmen gegebenenfalls gewährleisten, dass das System +integrierten Betriebseinschränkungen unterliegt, über die sich das System selbst nicht hinwegsetzen kann, dass es auf +den menschlichen Bediener reagiert und dass die natürlichen Personen, denen die menschliche Aufsicht übertragen +wurde, über die erforderliche Kompetenz, Ausbildung und Befugnis verfügen, um diese Aufgabe wahrzunehmen. Es +ist außerdem unerlässlich, gegebenenfalls dafür zu sorgen, dass in Hochrisiko-KI-Systemen Mechanismen enthalten +sind, um eine natürliche Person, der die menschliche Aufsicht übertragen wurde, zu beraten und zu informieren, +damit sie fundierte Entscheidungen darüber trifft, ob, wann und wie einzugreifen ist, um negative Folgen oder +Risiken zu vermeiden, oder das System anzuhalten, wenn es nicht wie beabsichtigt funktioniert. Angesichts der +bedeutenden Konsequenzen für Personen im Falle eines falschen Treffers durch bestimmte biometrische +Identifizierungssysteme ist es angezeigt, für diese Systeme eine verstärkte Anforderung im Hinblick auf die +menschliche Aufsicht vorzusehen, sodass der Betreiber keine Maßnahmen oder Entscheidungen aufgrund des vom +System hervorgebrachten Identifizierungsergebnisses treffen kann, solange dies nicht von mindestens zwei +natürlichen Personen getrennt überprüft und bestätigt wurde. Diese Personen könnten von einer oder mehreren +Einrichtungen stammen und die Person umfassen, die das System bedient oder verwendet. Diese Anforderung sollte +keine unnötigen Belastungen oder Verzögerungen mit sich bringen, und es könnte ausreichen, dass die getrennten +Überprüfungen durch die verschiedenen Personen automatisch in die vom System erzeugten Protokolle +aufgenommen werden. Angesichts der Besonderheiten der Bereiche Strafverfolgung, Migration, Grenzkontrolle +und Asyl sollte diese Anforderung nicht gelten, wenn die Geltung dieser Anforderung nach Unionsrecht oder +nationalem Recht unverhältnismäßig ist. + + +(74) Hochrisiko-KI-Systeme sollten während ihres gesamten Lebenszyklus beständig funktionieren und ein angemessenes +Maß an Genauigkeit, Robustheit und Cybersicherheit angesichts ihrer Zweckbestimmung und entsprechend dem +allgemein anerkannten Stand der Technik aufweisen. Die Kommission sowie einschlägige Interessenträger und +Organisationen sind aufgefordert, der Minderung der Risiken und negativen Auswirkungen des KI-Systems +gebührend Rechnung zu tragen. Das erwartete Leistungskennzahlenniveau sollte in der beigefügten Betriebsan- +leitung angegeben werden. Die Anbieter werden nachdrücklich aufgefordert, diese Informationen den Betreibern in +klarer und leicht verständlicher Weise ohne Missverständnisse oder irreführende Aussagen zu übermitteln. Die +Rechtsvorschriften der Union zum gesetzlichen Messwesen, einschließlich der Richtlinien 2014/31/EU (^35 ) und +2014/32/EU des Europäischen Parlaments und des Rates (^36 ), zielt darauf ab, die Genauigkeit von Messungen +sicherzustellen und die Transparenz und Fairness im Geschäftsverkehr zu fördern. In diesem Zusammenhang sollte +die Kommission in Zusammenarbeit mit einschlägigen Interessenträgern und Organisationen, wie Metrologie- und +Benchmarking-Behörden, gegebenenfalls die Entwicklung von Benchmarks und Messmethoden für KI-Systeme +fördern. Dabei sollte die Kommission internationale Partner, die an Metrologie und einschlägigen Messindikatoren +für KI arbeiten, beachten und mit ihnen zusammenarbeiten. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 21/144 + + +(^35 ) Richtlinie 2014/31/EU des Europäischen Parlaments und des Rates vom 26. Februar 2014 zur Angleichung der Rechtsvorschriften +der Mitgliedstaaten betreffend die Bereitstellung nichtselbsttätiger Waagen auf dem Markt (ABl. L 96 vom 29.3.2014, S. 107). +(^36 ) Richtlinie 2014/32/EU des Europäischen Parlaments und des Rates vom 26. Februar 2014 zur Harmonisierung der +Rechtsvorschriften der Mitgliedstaaten über die Bereitstellung von Messgeräten auf dem Markt (ABl. L 96 vom 29.3.2014, S. 149). + + + +(75) Die technische Robustheit ist eine wesentliche Voraussetzung für Hochrisiko-KI-Systeme. Sie sollten widerstands- +fähig in Bezug auf schädliches oder anderweitig unerwünschtes Verhalten sein, das sich aus Einschränkungen +innerhalb der Systeme oder der Umgebung, in der die Systeme betrieben werden, ergeben kann (z. B. Fehler, +Störungen, Unstimmigkeiten, unerwartete Situationen). Daher sollten technische und organisatorische Maßnahmen +ergriffen werden, um die Robustheit von Hochrisiko-KI-Systemen sicherzustellen, indem beispielsweise geeignete +technische Lösungen konzipiert und entwickelt werden, um schädliches oder anderweitig unerwünschtes Verhalten +zu verhindern oder zu minimieren. Zu diesen technischen Lösungen können beispielsweise Mechanismen gehören, +die es dem System ermöglichen, seinen Betrieb bei bestimmten Anomalien oder beim Betrieb außerhalb bestimmter +vorab festgelegter Grenzen sicher zu unterbrechen (Störungssicherheitspläne). Ein fehlender Schutz vor diesen +Risiken könnte die Sicherheit beeinträchtigen oder sich negativ auf die Grundrechte auswirken, wenn das KI-System +beispielsweise falsche Entscheidungen trifft oder falsche oder verzerrte Ausgaben hervorbringt. + + +(76) Die Cybersicherheit spielt eine entscheidende Rolle, wenn es darum geht, sicherzustellen, dass KI-Systeme +widerstandsfähig gegenüber Versuchen böswilliger Dritter sind, unter Ausnutzung der Schwachstellen der Systeme +deren Verwendung, Verhalten, Leistung zu verändern oder ihre Sicherheitsmerkmale zu beeinträchtigen. +Cyberangriffe auf KI-Systeme können KI-spezifische Ressourcen wie Trainingsdatensätze (z. B. Datenvergiftung) +oder trainierte Modelle (z. B. feindliche Angriffe oder Inferenzangriffe auf Mitgliederdaten) nutzen oder +Schwachstellen in den digitalen Ressourcen des KI-Systems oder der zugrunde liegenden IKT-Infrastruktur +ausnutzen. Um ein den Risiken angemessenes Cybersicherheitsniveau zu gewährleisten, sollten die Anbieter von +Hochrisiko-KI-Systemen daher geeignete Maßnahmen, etwa Sicherheitskontrollen, ergreifen, wobei gegebenenfalls +auch die zugrunde liegende IKT-Infrastruktur zu berücksichtigen ist. + + +(77) Unbeschadet der in dieser Verordnung festgelegten Anforderungen an Robustheit und Genauigkeit können +Hochrisiko-AI-Systeme, die in den Geltungsbereich einer Verordnung des Europäischen Parlaments und des Rates +über horizontale Cybersicherheitsanforderungen für Produkte mit digitalen Elementen gemäß der genannten +Verordnung fallen, die Erfüllung der Cybersicherheitsanforderungen der vorliegenden Verordnung nachweisen, +indem sie die in der genannten Verordnung festgelegten grundlegenden Cybersicherheitsanforderungen erfüllen. +Wenn Hochrisiko-KI-Systeme die grundlegenden Anforderungen einer Verordnung des Europäischen Parlaments +und des Rates über horizontale Cybersicherheitsanforderungen für Produkte mit digitalen Elementen erfüllen, sollten +sie als die in der vorliegenden Verordnung festgelegten Cybersicherheitsanforderungen erfüllend gelten, soweit die +Erfüllung der genannten Anforderungen in der gemäß der genannten Verordnung ausgestellten EU-Konformit- +ätserklärung oder in Teilen davon nachgewiesen wird. Zu diesem Zweck sollten bei der im Rahmen einer +Verordnung des Europäischen Parlaments und des Rates über horizontale Cybersicherheitsanforderungen für +Produkte mit digitalen Elementen durchgeführten Bewertung der Cybersicherheitsrisiken, die mit einem gemäß der +vorliegenden Verordnung als Hochrisiko-KI-System eingestuften Produkt mit digitalen Elementen verbunden sind, +Risiken für die Cyberabwehrfähigkeit eines KI-Systems in Bezug auf Versuche unbefugter Dritter, seine Verwendung, +sein Verhalten oder seine Leistung zu verändern, einschließlich KI-spezifischer Schwachstellen wie Datenvergiftung +oder feindlicher Angriffe, sowie gegebenenfalls Risiken für die Grundrechte gemäß der vorliegenden Verordnung +berücksichtigt werden. + + +(78) Das in dieser Verordnung vorgesehene Konformitätsbewertungsverfahren sollte in Bezug auf die grundlegenden +Cybersicherheitsanforderungen an ein Produkt mit digitalen Elementen, das unter eine Verordnung des Europäischen +Parlaments und des Rates über horizontale Cybersicherheitsanforderungen für Produkte mit digitalen Elementen fällt +und gemäß der vorliegenden Verordnung als Hochrisiko-KI-System eingestuft ist, gelten. Diese Regel sollte jedoch +nicht dazu führen, dass die erforderliche Vertrauenswürdigkeit für unter eine Verordnung des Europäischen +Parlaments und des Rates über horizontale Cybersicherheitsanforderungen für Produkte mit digitalen Elementen +fallende kritische Produkte mit digitalen Elementen verringert wird. Daher unterliegen abweichend von dieser Regel +Hochrisiko-KI-Systeme, die in den Anwendungsbereich der vorliegenden Verordnung fallen und gemäß einer +Verordnung des Europäischen Parlaments und des Rates über horizontale Cybersicherheitsanforderungen für +Produkte mit digitalen Elementen als wichtige und kritische Produkte mit digitalen Elementen eingestuft werden und +für die das Konformitätsbewertungsverfahren auf der Grundlage der internen Kontrolle gemäß einem Anhang der +vorliegenden Verordnung gilt, den Konformitätsbewertungsbestimmungen einer Verordnung des Europäischen +Parlaments und des Rates über horizontale Cybersicherheitsanforderungen für Produkte mit digitalen Elementen, +soweit die wesentlichen Cybersicherheitsanforderungen der genannten Verordnung betroffen sind. In diesem Fall +sollten für alle anderen Aspekte, die unter die vorliegende Verordnung fallen, die entsprechenden Bestimmungen +über die Konformitätsbewertung auf der Grundlage der internen Kontrolle gelten, die in einem Anhang der +vorliegenden Verordnung festgelegt sind. Aufbauend auf den Kenntnissen und dem Fachwissen der ENISA in Bezug +auf die Cybersicherheitspolitik und die der ENISA gemäß der Verordnung (EU) 2019/881 des Europäischen +Parlaments und des Rates (^37 ) übertragenen Aufgaben sollte die Kommission in Fragen im Zusammenhang mit der +Cybersicherheit von KI-Systemen mit der ENISA zusammenarbeiten. + +# DE ABl. L vom 12.7.2024 + +22/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^37 ) Verordnung (EU) 2019/881 des Europäischen Parlaments und des Rates vom 17. April 2019 über die ENISA (Agentur der +Europäischen Union für Cybersicherheit) und über die Zertifizierung der Cybersicherheit von Informations- und Kommunika- +tionstechnik und zur Aufhebung der Verordnung (EU) Nr. 526/2013 (Rechtsakt zur Cybersicherheit) (ABl. L 151 vom 7.6.2019, +S. 15). + + + +(79) Es ist angezeigt, dass eine bestimmte als Anbieter definierte natürliche oder juristische Person die Verantwortung für +das Inverkehrbringen oder die Inbetriebnahme eines Hochrisiko-KI-Systems übernimmt, unabhängig davon, ob es +sich bei dieser natürlichen oder juristischen Person um die Person handelt, die das System konzipiert oder entwickelt +hat. + + +(80) Als Unterzeichner des Übereinkommens über die Rechte von Menschen mit Behinderungen der Vereinten Nationen +sind die Union und alle Mitgliedstaaten rechtlich verpflichtet, Menschen mit Behinderungen vor Diskriminierung zu +schützen und ihre Gleichstellung zu fördern, sicherzustellen, dass Menschen mit Behinderungen gleichberechtigt +Zugang zu Informations- und Kommunikationstechnologien und -systemen haben, und die Achtung der +Privatsphäre von Menschen mit Behinderungen sicherzustellen. Angesichts der zunehmenden Bedeutung und +Nutzung von KI-Systemen sollte die strikte Anwendung der Grundsätze des universellen Designs auf alle neuen +Technologien und Dienste einen vollständigen und gleichberechtigten Zugang für alle Menschen sicherstellen, die +potenziell von KI-Technologien betroffen sind oder diese nutzen, einschließlich Menschen mit Behinderungen, und +zwar in einer Weise, die ihrer Würde und Vielfalt in vollem Umfang Rechnung trägt. Es ist daher von wesentlicher +Bedeutung, dass die Anbieter die uneingeschränkte Einhaltung der Barrierefreiheitsanforderungen sicherstellen, +einschließlich der in der Richtlinie (EU) 2016/2102 des Europäischen Parlaments und des Rates (^38 ) und in der +Richtlinie (EU) 2019/882 festgelegten Anforderungen. Die Anbieter sollten die Einhaltung dieser Anforderungen +durch Voreinstellungen sicherstellen. Die erforderlichen Maßnahmen sollten daher so weit wie möglich in die +Konzeption von Hochrisiko-KI-Systemen integriert werden. + + +(81) Der Anbieter sollte ein solides Qualitätsmanagementsystem einrichten, die Durchführung des vorgeschriebenen +Konformitätsbewertungsverfahrens sicherstellen, die einschlägige Dokumentation erstellen und ein robustes System +zur Beobachtung nach dem Inverkehrbringen einrichten. Anbieter von Hochrisiko-KI-Systemen, die Pflichten in +Bezug auf Qualitätsmanagementsysteme gemäß den einschlägigen sektorspezifischen Rechtsvorschriften der Union +unterliegen, sollten die Möglichkeit haben, die Elemente des in dieser Verordnung vorgesehenen Qualitätsmanage- +mentsystems als Teil des bestehenden, in diesen anderen sektoralen Rechtsvorschriften der Union vorgesehen +Qualitätsmanagementsystems aufzunehmen. Auch bei künftigen Normungstätigkeiten oder Leitlinien, die von der +Kommission angenommen werden, sollte der Komplementarität zwischen dieser Verordnung und den bestehenden +sektorspezifischen Rechtsvorschriften der Union Rechnung getragen werden. Behörden, die Hochrisiko-KI-Systeme +für den Eigengebrauch in Betrieb nehmen, können unter Berücksichtigung der Besonderheiten des Bereichs sowie der +Zuständigkeiten und der Organisation der besagten Behörde die Vorschriften für das Qualitätsmanagementsystem als +Teil des auf nationaler oder regionaler Ebene eingesetzten Qualitätsmanagementsystems annehmen und umsetzen. + + +(82) Um die Durchsetzung dieser Verordnung zu ermöglichen und gleiche Wettbewerbsbedingungen für die Akteure zu +schaffen, muss unter Berücksichtigung der verschiedenen Formen der Bereitstellung digitaler Produkte sichergestellt +sein, dass unter allen Umständen eine in der Union niedergelassene Person den Behörden alle erforderlichen +Informationen über die Konformität eines KI-Systems zur Verfügung stellen kann. Daher sollten Anbieter, die in +Drittländern niedergelassen sind, vor der Bereitstellung ihrer KI-Systeme in der Union schriftlich einen in der Union +niedergelassenen Bevollmächtigten benennen. Dieser Bevollmächtigte spielt eine zentrale Rolle bei der +Gewährleistung der Konformität der von den betreffenden Anbietern, die nicht in der Union niedergelassen sind, +in der Union in Verkehr gebrachten oder in Betrieb genommenen Hochrisiko-KI-Systeme und indem er als ihr in der +Union niedergelassener Ansprechpartner dient. + + +(83) Angesichts des Wesens und der Komplexität der Wertschöpfungskette für KI-Systeme und im Einklang mit dem +neuen Rechtsrahmen ist es von wesentlicher Bedeutung, Rechtssicherheit zu gewährleisten und die Einhaltung dieser +Verordnung zu erleichtern. Daher müssen die Rolle und die spezifischen Pflichten der relevanten Akteure entlang +dieser Wertschöpfungskette, wie Einführer und Händler, die zur Entwicklung von KI-Systemen beitragen können, +präzisiert werden. In bestimmten Situationen könnten diese Akteure mehr als eine Rolle gleichzeitig wahrnehmen +und sollten daher alle einschlägigen Pflichten, die mit diesen Rollen verbunden sind, kumulativ erfüllen. So könnte +ein Akteur beispielsweise gleichzeitig als Händler und als Einführer auftreten. + + +(84) Um Rechtssicherheit zu gewährleisten, muss präzisiert werden, dass unter bestimmten spezifischen Bedingungen +jeder Händler, Einführer, Betreiber oder andere Dritte als Anbieter eines Hochrisiko-KI-Systems betrachtet werden +und daher alle einschlägigen Pflichten erfüllen sollte. Dies wäre auch der Fall, wenn diese Partei ein bereits in Verkehr +gebrachtes oder in Betrieb genommenes Hochrisiko-KI-System mit ihrem Namen oder ihrer Handelsmarke versieht, +unbeschadet vertraglicher Vereinbarungen, die eine andere Aufteilung der Pflichten vorsehen, oder wenn sie eine +wesentliche Veränderung des Hochrisiko-KI-Systems, das bereits in Verkehr gebracht oder bereits in Betrieb +genommen wurde, so vornimmt, dass es ein Hochrisiko-KI-System im Sinne dieser Verordnung bleibt, oder wenn sie +die Zweckbestimmung eines KI-Systems, einschließlich eines KI-Systems mit allgemeinem Verwendungszweck, das +nicht als Hochrisiko-KI-System eingestuft wurde und bereits in Verkehr gebracht oder in Betrieb genommen wurde, +so verändert, dass das KI-System zu einem Hochrisiko-KI-System im Sinne dieser Verordnung wird. Diese +Bestimmungen sollten unbeschadet spezifischerer Bestimmungen in bestimmten Harmonisierungsrechtsvorschriften +der Union auf Grundlage des neuen Rechtsrahmens gelten, mit denen diese Verordnung zusammen gelten sollte. So + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 23/144 + + +(^38 ) Richtlinie (EU) 2016/2102 des Europäischen Parlaments und des Rates vom 26. Oktober 2016 über den barrierefreien Zugang zu +den Websites und mobilen Anwendungen öffentlicher Stellen (ABl. L 327 vom 2.12.2016, S. 1). + + + +sollte beispielsweise Artikel 16 Absatz 2 der Verordnung (EU) 2017/745, wonach bestimmte Änderungen nicht als +eine Änderung des Produkts, die Auswirkungen auf seine Konformität mit den geltenden Anforderungen haben +könnte, gelten sollten, weiterhin auf Hochrisiko-KI-Systeme angewandt werden, bei denen es sich um +Medizinprodukte im Sinne der genannten Verordnung handelt. + + +(85) KI-Systeme mit allgemeinem Verwendungszweck können als eigenständige Hochrisiko-KI-Systeme eingesetzt werden +oder Komponenten anderer Hochrisiko-KI-Systemen sein. Daher sollten, aufgrund der besonderen Merkmale dieser +KI-Systeme und um für eine gerechte Verteilung der Verantwortlichkeiten entlang der KI-Wertschöpfungskette zu +sorgen, Anbieter solcher Systeme, unabhängig davon, ob sie von anderen Anbietern als eigenständige +Hochrisiko-KI-Systeme oder als Komponenten von Hochrisiko-KI-Systemen verwendet werden können, und sofern +in dieser Verordnung nichts anderes bestimmt ist, eng mit den Anbietern der relevanten Hochrisiko-KI-Systeme, um +ihnen die Einhaltung der entsprechenden Pflichten aus dieser Verordnung zu ermöglichen, und mit den gemäß dieser +Verordnung eingerichteten zuständigen Behörden zusammenarbeiten. + + +(86) Sollte der Anbieter, der das KI-System ursprünglich in Verkehr gebracht oder in Betrieb genommen hat, unter den in +dieser Verordnung festgelegten Bedingungen nicht mehr als Anbieter im Sinne dieser Verordnung gelten und hat +jener Anbieter die Änderung des KI-Systems in ein Hochrisiko-KI-System nicht ausdrücklich ausgeschlossen, so sollte +der erstgenannte Anbieter dennoch eng zusammenarbeiten, die erforderlichen Informationen zur Verfügung stellen +und den vernünftigerweise erwarteten technischen Zugang und sonstige Unterstützung leisten, die für die Erfüllung +der in dieser Verordnung festgelegten Pflichten, insbesondere in Bezug auf die Konformitätsbewertung von +Hochrisiko-KI-Systemen, erforderlich sind. + + +(87) Zusätzlich sollte, wenn ein Hochrisiko-KI-System, bei dem es sich um ein Sicherheitsbauteil eines Produkts handelt, +das in den Geltungsbereich von Harmonisierungsrechtsvorschriften der Union auf Grundlage des neuen +Rechtsrahmens fällt, nicht unabhängig von dem Produkt in Verkehr gebracht oder in Betrieb genommen wird, +der Produkthersteller im Sinne der genannten Rechtsvorschriften die in der vorliegenden Verordnung festgelegten +Anbieterpflichten erfüllen und sollte insbesondere sicherstellen, dass das in das Endprodukt eingebettete KI-System +den Anforderungen dieser Verordnung entspricht. + + +(88) Entlang der KI-Wertschöpfungskette liefern häufig mehrere Parteien KI-Systeme, Instrumente und Dienstleistungen, +aber auch Komponenten oder Prozesse, die vom Anbieter zu diversen Zwecken in das KI-System integriert werden; +dazu gehören das Trainieren, Neutrainieren, Testen und Bewerten von Modellen, die Integration in Software oder +andere Aspekte der Modellentwicklung. Diese Parteien haben eine wichtige Rolle in der Wertschöpfungskette +gegenüber dem Anbieter des Hochrisiko-KI-Systems, in das ihre KI-Systeme, Instrumente, Dienste, Komponenten +oder Verfahren integriert werden, und sollten in einer schriftlichen Vereinbarung die Informationen, die Fähigkeiten, +den technischen Zugang und die sonstige Unterstützung nach dem allgemein anerkannten Stand der Technik +bereitstellen, die erforderlich sind, damit der Anbieter die in dieser Verordnung festgelegten Pflichten vollständig +erfüllen kann, ohne seine eigenen Rechte des geistigen Eigentums oder Geschäftsgeheimnisse zu gefährden. + + +(89) Dritte, die Instrumente, Dienste, Verfahren oder Komponenten, bei denen es sich nicht um KI-Modelle mit +allgemeinem Verwendungszweck handelt, öffentlich zugänglich machen, sollten nicht dazu verpflichtet werden, +Anforderungen zu erfüllen, die auf die Verantwortlichkeiten entlang der KI-Wertschöpfungskette ausgerichtet sind, +insbesondere gegenüber dem Anbieter, der sie genutzt oder integriert hat, wenn diese Instrumente, Dienste, +Verfahren oder KI-Komponenten im Rahmen einer freien und quelloffenen Lizenz zugänglich gemacht werden. Die +Entwickler von freien und quelloffenen Instrumenten, Diensten, Verfahren oder KI-Komponenten, bei denen es sich +nicht um KI-Modelle mit allgemeinem Verwendungszweck handelt, sollten dazu ermutigt werden, weit verbreitete +Dokumentationsverfahren, wie z. B. Modellkarten und Datenblätter, als Mittel dazu einzusetzen, den Informations- +austausch entlang der KI-Wertschöpfungskette zu beschleunigen, sodass vertrauenswürdige KI-Systeme in der Union +gefördert werden können. + + +(90) Die Kommission könnte freiwillige Mustervertragsbedingungen für Verträge zwischen Anbietern von Hochrisiko- +KI-Systemen und Dritten ausarbeiten und empfehlen, in deren Rahmen Instrumente, Dienste, Komponenten oder +Verfahren bereitgestellt werden, die für Hochrisiko-KI-Systeme verwendet oder in diese integriert werden, um die +Zusammenarbeit entlang der Wertschöpfungskette zu erleichtern. Bei der Ausarbeitung dieser freiwilligen +Mustervertragsbedingungen sollte die Kommission auch mögliche vertragliche Anforderungen berücksichtigen, +die in bestimmten Sektoren oder Geschäftsfällen gelten. + + +(91) Angesichts des Charakters von KI-Systemen und der Risiken für die Sicherheit und die Grundrechte, die mit ihrer +Verwendung verbunden sein können, ist es angezeigt, besondere Zuständigkeiten für die Betreiber festzulegen, auch +im Hinblick darauf, dass eine angemessene Beobachtung der Leistung eines KI-Systems unter Realbedingungen +sichergestellt werden muss. Die Betreiber sollten insbesondere geeignete technische und organisatorische +Maßnahmen treffen, um sicherzustellen, dass sie Hochrisiko-KI-Systeme gemäß den Betriebsanleitungen verwenden, +und es sollten bestimmte andere Pflichten in Bezug auf die Überwachung der Funktionsweise der KI-Systeme und +gegebenenfalls auch Aufzeichnungspflichten festgelegt werden. Darüber hinaus sollten die Betreiber sicherstellen, +dass die Personen, denen die Umsetzung der Betriebsanleitungen und die menschliche Aufsicht gemäß dieser + +# DE ABl. L vom 12.7.2024 + +24/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Verordnung übertragen wurde, über die erforderliche Kompetenz verfügen, insbesondere über ein angemessenes +Niveau an KI-Kompetenz, Schulung und Befugnis, um diese Aufgaben ordnungsgemäß zu erfüllen. Diese Pflichten +sollten sonstige Pflichten des Betreibers in Bezug auf Hochrisiko-KI-Systeme nach Unionsrecht oder nationalem +Recht unberührt lassen. + + +(92) Diese Verordnung lässt Pflichten der Arbeitgeber unberührt, Arbeitnehmer oder ihre Vertreter nach dem +Unionsrecht oder nationalem Recht und nationaler Praxis, einschließlich der Richtlinie 2002/14/EG des +Europäischen Parlaments und des Rates (^39 ) über Entscheidungen zur Inbetriebnahme oder Nutzung von +KI-Systemen zu unterrichten oder zu unterrichten und anzuhören. Es muss nach wie vor sichergestellt werden, +dass Arbeitnehmer und ihre Vertreter über die geplante Einführung von Hochrisiko-KI-Systemen am Arbeitsplatz +unterrichtet werden, wenn die Bedingungen für diese Pflichten zur Unterrichtung oder zur Unterrichtung und +Anhörung gemäß anderen Rechtsinstrumenten nicht erfüllt sind. Darüber hinaus ist dieses Recht, unterrichtet zu +werden, ein Nebenrecht und für das Ziel des Schutzes der Grundrechte, das dieser Verordnung zugrunde liegt, +erforderlich. Daher sollte in dieser Verordnung eine entsprechende Unterrichtungsanforderung festgelegt werden, +ohne bestehende Arbeitnehmerrechte zu beeinträchtigen. + + +(93) Während Risiken im Zusammenhang mit KI-Systemen einerseits aus der Art und Weise entstehen können, in der +solche Systeme konzipiert sind, können sie sich andererseits auch aus der Art und Weise ergeben, in der diese +Systeme verwendet werden. Betreiber von Hochrisiko-KI-Systemen spielen daher eine entscheidende Rolle bei der +Gewährleistung des Schutzes der Grundrechte in Ergänzung der Pflichten der Anbieter bei der Entwicklung der +KI-Systeme. Betreiber können am besten verstehen, wie das Hochrisiko-KI-System konkret eingesetzt wird, und +können somit dank einer genaueren Kenntnis des Verwendungskontextes sowie der wahrscheinlich betroffenen +Personen oder Personengruppen, einschließlich schutzbedürftiger Gruppen, erhebliche potenzielle Risiken erkennen, +die in der Entwicklungsphase nicht vorausgesehen wurden. Betreiber der in einem Anhang dieser Verordnung +aufgeführten Hochrisiko-KI-Systeme spielen ebenfalls eine entscheidende Rolle bei der Unterrichtung natürlicher +Personen und sollten, wenn sie natürliche Personen betreffende Entscheidungen treffen oder bei solchen +Entscheidungen Unterstützung leisten, gegebenenfalls die natürlichen Personen darüber unterrichten, dass sie +Gegenstand des Einsatzes des Hochrisiko-KI-Systems sind. Diese Unterrichtung sollte die Zweckbestimmung und die +Art der getroffenen Entscheidungen umfassen. Der Betreiber sollte die natürlichen Personen auch über ihr Recht auf +eine Erklärung gemäß dieser Verordnung unterrichten. Bei Hochrisiko-KI-Systemen, die zu Strafverfolgungszwecken +eingesetzt werden, sollte diese Pflicht im Einklang mit Artikel 13 der Richtlinie (EU) 2016/680 umgesetzt werden. + + +(94) Jede Verarbeitung biometrischer Daten im Zusammenhang mit der Verwendung von KI-Systemen für die +biometrische Identifizierung zu Strafverfolgungszwecken muss im Einklang mit Artikel 10 der Richtlinie (EU) +2016/680, demzufolge eine solche Verarbeitung nur dann erlaubt ist, wenn sie unbedingt erforderlich ist, +vorbehaltlich angemessener Vorkehrungen für den Schutz der Rechte und Freiheiten der betroffenen Person, und +sofern sie nach dem Unionsrecht oder dem Recht der Mitgliedstaaten zulässig ist, erfolgen. Bei einer solchen +Nutzung, sofern sie zulässig ist, müssen auch die in Artikel 4 Absatz 1 der Richtlinie (EU) 2016/680 festgelegten +Grundsätze geachtet werden, einschließlich Rechtmäßigkeit, Fairness und Transparenz, Zweckbindung, sachliche +Richtigkeit und Speicherbegrenzung. + + +(95) Unbeschadet des geltenden Unionsrechts, insbesondere der Verordnung (EU) 2016/679 und der Richtlinie (EU) +2016/680, sollte die Verwendung von Systemen zur nachträglichen biometrischen Fernidentifizierung in Anbetracht +des intrusiven Charakters von Systemen zur nachträglichen biometrischen Fernidentifizierung Schutzvorkehrungen +unterliegen. Systeme zur nachträglichen biometrischen Fernidentifizierung sollten stets auf verhältnismäßige, +legitime und unbedingt erforderliche Weise eingesetzt werden und somit zielgerichtet sein, was die zu +identifizierenden Personen, den Ort und den zeitlichen Anwendungsbereich betrifft, und auf einem geschlossenen +Datensatz rechtmäßig erworbener Videoaufnahmen basieren. In jedem Fall sollten Systeme zur nachträglichen +biometrischen Fernidentifizierung im Rahmen der Strafverfolgung nicht so verwendet werden, dass sie zu +willkürlicher Überwachung führen. Die Bedingungen für die nachträgliche biometrische Fernidentifizierung sollten +keinesfalls eine Grundlage dafür bieten, die Bedingungen des Verbots und der strengen Ausnahmen für biometrische +Echtzeit-Fernidentifizierung zu umgehen. + + +(96) Um wirksam sicherzustellen, dass die Grundrechte geschützt werden, sollten Betreiber von Hochrisiko-KI-Systemen, +bei denen es sich um Einrichtungen des öffentlichen Rechts oder private Einrichtungen, die öffentliche Dienste +erbringen, handelt, und Betreiber, die bestimmte Hochrisiko-KI-Systemen gemäß einem Anhang dieser Verordnung +betreiben, wie Bank- oder Versicherungsunternehmen, vor der Inbetriebnahme eine Grundrechte-Folgenabschätzung +durchführen. Für Einzelpersonen wichtige Dienstleistungen öffentlicher Art können auch von privaten Einrichtungen +erbracht werden. Private Einrichtungen, die solche öffentliche Dienstleistungen erbringen, sind mit Aufgaben im +öffentlichen Interesse verknüpft, etwa in den Bereichen Bildung, Gesundheitsversorgung, Sozialdienste, Wohnu- +ngswesen und Justizverwaltung. Ziel der Grundrechte-Folgenabschätzung ist es, dass der Betreiber die spezifischen +Risiken für die Rechte von Einzelpersonen oder Gruppen von Einzelpersonen, die wahrscheinlich betroffen sein +werden, ermittelt und Maßnahmen ermittelt, die im Falle eines Eintretens dieser Risiken zu ergreifen sind. Die + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 25/144 + + +(^39 ) Richtlinie 2002/14/EG des Europäischen Parlaments und des Rates vom 11. März 2002 zur Festlegung eines allgemeinen Rahmens +für die Unterrichtung und Anhörung der Arbeitnehmer in der Europäischen Gemeinschaft (ABl. L 80 vom 23.3.2002, S. 29). + + + +Folgenabschätzung sollte vor dem erstmaligen Einsatz des Hochrisiko-KI-Systems durchgeführt werden, und sie +sollte aktualisiert werden, wenn der Betreiber der Auffassung ist, dass sich einer der relevanten Faktoren geändert +hat. In der Folgenabschätzung sollten die einschlägigen Verfahren des Betreibers, bei denen das Hochrisiko-KI-System +im Einklang mit seiner Zweckbestimmung verwendet wird, genannt werden, und sie sollte eine Beschreibung des +Zeitraums und der Häufigkeit, innerhalb dessen bzw. mit der das Hochrisiko-KI-System verwendet werden soll, +sowie der Kategorien der natürlichen Personen und Gruppen, die im spezifischen Verwendungskontext betroffen +sein könnten, enthalten. Die Abschätzung sollte außerdem die spezifischen Schadensrisiken enthalten, die sich auf +die Grundrechte dieser Personen oder Gruppen auswirken können. Bei der Durchführung dieser Bewertung sollte der +Betreiber Informationen Rechnung tragen, die für eine ordnungsgemäße Abschätzung der Folgen relevant sind, unter +anderem die vom Anbieter des Hochrisiko-KI-Systems in der Betriebsanleitung angegebenen Informationen. +Angesichts der ermittelten Risiken sollten die Betreiber Maßnahmen festlegen, die im Falle eines Eintretens dieser +Risiken zu ergreifen sind, einschließlich beispielsweise Unternehmensführungsregelungen in diesem spezifischen +Verwendungskontext, etwa Regelungen für die menschliche Aufsicht gemäß den Betriebsanleitungen oder Verfahren +für die Bearbeitung von Beschwerden und Rechtsbehelfsverfahren, da sie dazu beitragen könnten, Risiken für die +Grundrechte in konkreten Anwendungsfällen zu mindern. Nach Durchführung dieser Folgenabschätzung sollte der +Betreiber die zuständige Marktüberwachungsbehörde unterrichten. Um einschlägige Informationen einzuholen, die +für die Durchführung der Folgenabschätzung erforderlich sind, könnten die Betreiber von Hochrisiko-KI-Systemen, +insbesondere wenn KI-Systeme im öffentlichen Sektor verwendet werden, relevante Interessenträger, unter anderem +Vertreter von Personengruppen, die von dem KI-System betroffen sein könnten, unabhängige Sachverständige und +Organisationen der Zivilgesellschaft, in die Durchführung solcher Folgenabschätzungen und die Gestaltung von +Maßnahmen, die im Falle des Eintretens der Risiken zu ergreifen sind, einbeziehen. Das Europäische Büro für +Künstliche Intelligenz (im Folgenden „Büro für Künstliche Intelligenz“) sollte ein Muster für einen Fragebogen +ausarbeiten, um den Betreibern die Einhaltung der Vorschriften zu erleichtern und den Verwaltungsaufwand für sie +zu verringern. + + +(97) Der Begriff „KI-Modelle mit allgemeinem Verwendungszweck“ sollte klar bestimmt und vom Begriff der KI-Systeme +abgegrenzt werden, um Rechtssicherheit zu schaffen. Die Begriffsbestimmung sollte auf den wesentlichen +funktionalen Merkmalen eines KI-Modells mit allgemeinem Verwendungszweck beruhen, insbesondere auf der +allgemeinen Verwendbarkeit und der Fähigkeit, ein breites Spektrum unterschiedlicher Aufgaben kompetent zu +erfüllen. Diese Modelle werden in der Regel mit großen Datenmengen durch verschiedene Methoden, etwa +überwachtes, unüberwachtes und bestärkendes Lernen, trainiert. KI-Modelle mit allgemeinem Verwendungszweck +können auf verschiedene Weise in Verkehr gebracht werden, unter anderem über Bibliotheken, Anwendungs- +programmierschnittstellen (API), durch direktes Herunterladen oder als physische Kopie. Diese Modelle können +weiter geändert oder zu neuen Modellen verfeinert werden. Obwohl KI-Modelle wesentliche Komponenten von +KI-Systemen sind, stellen sie für sich genommen keine KI-Systeme dar. Damit KI-Modelle zu KI-Systemen werden, ist +die Hinzufügung weiterer Komponenten, zum Beispiel einer Nutzerschnittstelle, erforderlich. KI-Modelle sind in der +Regel in KI-Systeme integriert und Teil davon. Diese Verordnung enthält spezifische Vorschriften für KI-Modelle mit +allgemeinem Verwendungszweck und für KI-Modelle mit allgemeinem Verwendungszweck, die systemische Risiken +bergen; diese sollten auch gelten, wenn diese Modelle in ein KI-System integriert oder Teil davon sind. Es sollte klar +sein, dass die Pflichten für die Anbieter von KI-Modellen mit allgemeinem Verwendungszweck gelten sollten, sobald +die KI-Modelle mit allgemeinem Verwendungszweck in Verkehr gebracht werden. Wenn der Anbieter eines +KI-Modells mit allgemeinem Verwendungszweck ein eigenes Modell in sein eigenes KI-System integriert, das auf dem +Markt bereitgestellt oder in Betrieb genommen wird, sollte jenes Modell als in Verkehr gebracht gelten und sollten +daher die Pflichten aus dieser Verordnung für Modelle weiterhin zusätzlich zu den Pflichten für KI-Systeme gelten. +Die für Modelle festgelegten Pflichten sollten in jedem Fall nicht gelten, wenn ein eigenes Modell für rein interne +Verfahren verwendet wird, die für die Bereitstellung eines Produkts oder einer Dienstleistung an Dritte nicht +wesentlich sind, und die Rechte natürlicher Personen nicht beeinträchtigt werden. Angesichts ihrer potenziellen in +erheblichem Ausmaße negativen Auswirkungen sollten KI-Modelle mit allgemeinem Verwendungszweck mit +systemischem Risiko stets den einschlägigen Pflichten gemäß dieser Verordnung unterliegen. Die Begriffs- +bestimmung sollte nicht für KI-Modelle gelten, die vor ihrem Inverkehrbringen ausschließlich für Forschungs- und +Entwicklungstätigkeiten oder die Konzipierung von Prototypen verwendet werden. Dies gilt unbeschadet der Pflicht, +dieser Verordnung nachzukommen, wenn ein Modell nach solchen Tätigkeiten in Verkehr gebracht wird. + + +(98) Die allgemeine Verwendbarkeit eines Modells könnte zwar unter anderem auch durch eine bestimmte Anzahl von +Parametern bestimmt werden, doch sollten Modelle mit mindestens einer Milliarde Parametern, die mit einer großen +Datenmenge unter umfassender Selbstüberwachung trainiert werden, als Modelle gelten, die eine erhebliche +allgemeine Verwendbarkeit aufweisen und ein breites Spektrum unterschiedlicher Aufgaben kompetent erfüllen. + + +(99) Große generative KI-Modelle sind ein typisches Beispiel für ein KI-Modell mit allgemeinem Verwendungszweck, da +sie eine flexible Erzeugung von Inhalten ermöglichen, etwa in Form von Text- Audio-, Bild- oder Videoinhalten, die +leicht ein breites Spektrum unterschiedlicher Aufgaben umfassen können. + + +(100) Wenn ein KI-Modell mit allgemeinem Verwendungszweck in ein KI-System integriert oder Teil davon ist, sollte dieses +System als KI-System mit allgemeinem Verwendungszweck gelten, wenn dieses System aufgrund dieser Integration +in der Lage ist, einer Vielzahl von Zwecken zu dienen. Ein KI-System mit allgemeinem Verwendungszweck kann +direkt eingesetzt oder in andere KI-Systeme integriert werden. + +# DE ABl. L vom 12.7.2024 + +26/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(101) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck nehmen entlang der KI-Wertschöpfungskette eine +besondere Rolle und Verantwortung wahr, da die von ihnen bereitgestellten Modelle die Grundlage für eine Reihe +nachgelagerter Systeme bilden können, die häufig von nachgelagerten Anbietern bereitgestellt werden und ein gutes +Verständnis der Modelle und ihrer Fähigkeiten erfordern, sowohl um die Integration solcher Modelle in ihre Produkte +zu ermöglichen als auch ihre Pflichten im Rahmen dieser oder anderer Verordnungen zu erfüllen. Daher sollten +verhältnismäßige Transparenzmaßnahmen festgelegt werden, einschließlich der Erstellung und Aktualisierung von +Dokumentation und der Bereitstellung von Informationen über das KI-Modell mit allgemeinem Verwendungszweck +für dessen Nutzung durch die nachgelagerten Anbieter. Der Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck sollte technische Dokumentation erarbeiten und aktualisieren, damit sie dem Büro für +Künstliche Intelligenz und den zuständigen nationalen Behörden auf Anfrage zur Verfügung gestellt werden kann. +Welche Elemente mindestens in eine solche Dokumentation aufzunehmen sind, sollte in bestimmten Anhängen +dieser Verordnung festgelegt werden. Der Kommission sollte die Befugnis übertragen werden, diese Anhänge im +Wege delegierter Rechtsakte vor dem Hintergrund sich wandelnder technologischer Entwicklungen zu ändern. + + +(102) Software und Daten, einschließlich Modellen, die im Rahmen einer freien und quelloffenen Lizenz freigegeben +werden, die ihre offene Weitergabe erlaubt und die Nutzer kostenlos abrufen, nutzen, verändern und weiter verteilen +können, auch in veränderter Form, können zu Forschung und Innovation auf dem Markt beitragen und der +Wirtschaft der Union erhebliche Wachstumschancen eröffnen. KI-Modelle mit allgemeinem Verwendungszweck, die +im Rahmen freier und quelloffener Lizenzen freigegeben werden, sollten als ein hohes Maß an Transparenz und +Offenheit sicherstellend gelten, wenn ihre Parameter, einschließlich Gewichte, Informationen über die Modell- +architektur und Informationen über die Modellnutzung, öffentlich zugänglich gemacht werden. Die Lizenz sollte +auch als freie quelloffene Lizenz gelten, wenn sie es den Nutzern ermöglicht, Software und Daten zu betreiben, zu +kopieren, zu verbreiten, zu untersuchen, zu ändern und zu verbessern, einschließlich Modelle, sofern der +ursprüngliche Anbieter des Modells genannt und identische oder vergleichbare Vertriebsbedingungen eingehalten +werden. + + +(103) Zu freien und quelloffenen KI-Komponenten zählen Software und Daten, einschließlich Modelle und KI-Modelle mit +allgemeinem Verwendungszweck, Instrumente, Dienste oder Verfahren eines KI-Systems. Freie und quelloffene +KI-Komponenten können über verschiedene Kanäle bereitgestellt werden, einschließlich ihrer Entwicklung auf +offenen Speichern. Für die Zwecke dieser Verordnung sollten KI-Komponenten, die gegen einen Preis bereitgestellt +oder anderweitig monetarisiert werden, einschließlich durch die Bereitstellung technischer Unterstützung oder +anderer Dienste — einschließlich über eine Softwareplattform — im Zusammenhang mit der KI-Komponente oder +durch die Verwendung personenbezogener Daten aus anderen Gründen als der alleinigen Verbesserung der +Sicherheit, Kompatibilität oder Interoperabilität der Software, mit Ausnahme von Transaktionen zwischen +Kleinstunternehmen, nicht unter die Ausnahmen für freie und quelloffene KI-Komponenten fallen. Die Bereitstellung +von KI-Komponenten über offene Speicher sollte für sich genommen keine Monetarisierung darstellen. + + +(104) Für die Anbieter von KI-Modellen mit allgemeinem Verwendungszweck, die im Rahmen einer freien und +quelloffenen Lizenz freigegeben werden und deren Parameter, einschließlich Gewichte, Informationen über die +Modellarchitektur und Informationen über die Modellnutzung, öffentlich zugänglich gemacht werden, sollten +Ausnahmen in Bezug auf die Transparenzanforderungen für KI-Modelle mit allgemeinem Verwendungszweck gelten, +es sei denn, sie können als Modelle gelten, die ein systemisches Risiko bergen; in diesem Fall sollte der Umstand, dass +das Modell transparent ist und mit einer quelloffenen Lizenz einhergeht, nicht als ausreichender Grund gelten, um sie +von der Einhaltung der Pflichten aus dieser Verordnung auszunehmen. Da die Freigabe von KI-Modellen mit +allgemeinem Verwendungszweck im Rahmen einer freien und quelloffenen Lizenz nicht unbedingt wesentliche +Informationen über den für das Trainieren oder die Feinabstimmung des Modells verwendeten Datensatz und die Art +und Weise, wie damit die Einhaltung des Urheberrechts sichergestellt wurde, offenbart, sollte die für KI-Modelle mit +allgemeinem Verwendungszweck vorgesehene Ausnahme von der Einhaltung der Transparenzanforderungen in +jedem Fall nicht die Pflicht zur Erstellung einer Zusammenfassung der für das Training des Modells verwendeten +Inhalte und die Pflicht, eine Strategie zur Einhaltung des Urheberrechts der Union, insbesondere zur Ermittlung und +Einhaltung der gemäß Artikel 4 Absatz 3 der Richtlinie (EU) 2019/790 des Europäischen Parlaments und des +Rates (^40 ) geltend gemachten Rechtsvorbehalte, auf den Weg zu bringen, betreffen. + + +(105) KI-Modelle mit allgemeinem Verwendungszweck, insbesondere große generative KI-Modelle, die Text, Bilder und +andere Inhalte erzeugen können, bedeuten einzigartige Innovationsmöglichkeiten, aber auch Herausforderungen für +Künstler, Autoren und andere Kreative sowie die Art und Weise, wie ihre kreativen Inhalte geschaffen, verbreitet, +genutzt und konsumiert werden. Für die Entwicklung und das Training solcher Modelle ist der Zugang zu riesigen +Mengen an Text, Bildern, Videos und anderen Daten erforderlich. In diesem Zusammenhang können Text-und- +Data-Mining-Techniken in großem Umfang für das Abrufen und die Analyse solcher Inhalte, die urheberrechtlich +und durch verwandte Schutzrechte geschützt sein können, eingesetzt werden. Für jede Nutzung urheberrechtlich +geschützter Inhalte ist die Zustimmung des betreffenden Rechteinhabers erforderlich, es sei denn, es gelten +einschlägige Ausnahmen und Beschränkungen des Urheberrechts. Mit der Richtlinie (EU) 2019/790 wurden +Ausnahmen und Beschränkungen eingeführt, um unter bestimmten Bedingungen Vervielfältigungen und Entnahmen + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 27/144 + + +(^40 ) Richtlinie (EU) 2019/790 des Europäischen Parlaments und des Rates vom 17. April 2019 über das Urheberrecht und die +verwandten Schutzrechte im digitalen Binnenmarkt und zur Änderung der Richtlinien 96/9/EG und 2001/29/EG (ABl. L 130 vom +17.5.2019, S. 92). + + + +von Werken oder sonstigen Schutzgegenständen für die Zwecke des Text und Data Mining zu erlauben. Nach diesen +Vorschriften können Rechteinhaber beschließen, ihre Rechte an ihren Werken oder sonstigen Schutzgegenständen +vorzubehalten, um Text und Data Mining zu verhindern, es sei denn, es erfolgt zum Zwecke der wissenschaftlichen +Forschung. Wenn die Vorbehaltsrechte ausdrücklich und in geeigneter Weise vorbehalten wurden, müssen Anbieter +von KI-Modellen mit allgemeinem Verwendungszweck eine Genehmigung von den Rechteinhabern einholen, wenn +sie Text und Data Mining bei solchen Werken durchführen wollen. + + +(106) Anbieter, die KI-Modelle mit allgemeinem Verwendungszweck in der Union in Verkehr bringen, sollten die Erfüllung +der einschlägigen Pflichten aus dieser Verordnung gewährleisten. Zu diesem Zweck sollten Anbieter von KI-Modellen +mit allgemeinem Verwendungszweck eine Strategie zur Einhaltung des Urheberrechts der Union und der verwandten +Schutzrechte einführen, insbesondere zur Ermittlung und Einhaltung des gemäß Artikel 4 Absatz 3 der Richtlinie +(EU) 2019/790 durch die Rechteinhaber geltend gemachten Rechtsvorbehalts. Jeder Anbieter, der ein KI-Modell mit +allgemeinem Verwendungszweck in der Union in Verkehr bringt, sollte diese Pflicht erfüllen, unabhängig davon, in +welchem Hoheitsgebiet die urheberrechtlich relevanten Handlungen, die dem Training dieser KI-Modelle mit +allgemeinem Verwendungszweck zugrunde liegen, stattfinden. Dies ist erforderlich, um gleiche Wettbewerbs- +bedingungen für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck sicherzustellen, unter denen kein +Anbieter in der Lage sein sollte, durch die Anwendung niedrigerer Urheberrechtsstandards als in der Union einen +Wettbewerbsvorteil auf dem Unionsmarkt zu erlangen. + + +(107) Um die Transparenz in Bezug auf die beim Vortraining und Training von KI-Modellen mit allgemeinem +Verwendungszweck verwendeten Daten, einschließlich urheberrechtlich geschützter Texte und Daten, zu erhöhen, +ist es angemessen, dass die Anbieter solcher Modelle eine hinreichend detaillierte Zusammenfassung der für das +Training des KI-Modells mit allgemeinem Verwendungszweck verwendeten Inhalte erstellen und veröffentlichen. +Unter gebührender Berücksichtigung der Notwendigkeit, Geschäftsgeheimnisse und vertrauliche Geschäfts- +informationen zu schützen, sollte der Umfang dieser Zusammenfassung allgemein weitreichend und nicht technisch +detailliert sein, um Parteien mit berechtigtem Interesse, einschließlich der Inhaber von Urheberrechten, die Ausübung +und Durchsetzung ihrer Rechte nach dem Unionsrecht zu erleichtern, beispielsweise indem die wichtigsten +Datenerhebungen oder Datensätze aufgeführt werden, die beim Training des Modells verwendet wurden, etwa große +private oder öffentliche Datenbanken oder Datenarchive, und indem eine beschreibende Erläuterung anderer +verwendeter Datenquellen bereitgestellt wird. Es ist angebracht, dass das Büro für Künstliche Intelligenz eine Vorlage +für die Zusammenfassung bereitstellt, die einfach und wirksam sein sollte und es dem Anbieter ermöglichen sollte, +die erforderliche Zusammenfassung in beschreibender Form bereitzustellen. + + +(108) In Bezug auf die den Anbietern von KI-Modellen mit allgemeinem Verwendungszweck auferlegten Pflichten, eine +Strategie zur Einhaltung des Urheberrechts der Union einzuführen und eine Zusammenfassung der für das Training +verwendeten Inhalte zu veröffentlichen, sollte das Büro für Künstliche Intelligenz überwachen, ob der Anbieter diese +Pflichten erfüllt hat, ohne dies zu überprüfen oder die Trainingsdaten im Hinblick auf die Einhaltung des +Urheberrechts Werk für Werk zu bewerten. Diese Verordnung berührt nicht die Durchsetzung der Urheberrechts- +vorschriften des Unionsrechts. + + +(109) Die Einhaltung der für die Anbieter von KI-Modellen mit allgemeinem Verwendungszweck geltenden Pflichten sollte +der Art des Anbieters von Modellen angemessen und verhältnismäßig sein, wobei Personen, die Modelle für nicht +berufliche oder wissenschaftliche Forschungszwecke entwickeln oder verwenden, ausgenommen sind, jedoch +ermutigt werden sollten, diese Anforderungen freiwillig zu erfüllen. Unbeschadet des Urheberrechts der Union sollte +bei der Einhaltung dieser Pflichten der Größe des Anbieters gebührend Rechnung getragen und für KMU, +einschließlich Start-up-Unternehmen, vereinfachte Verfahren zur Einhaltung ermöglicht werden, die keine +übermäßigen Kosten verursachen und nicht von der Verwendung solcher Modelle abhalten sollten. Im Falle einer +Änderung oder Feinabstimmung eines Modells sollten die Pflichten der Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck auf diese Änderung oder Feinabstimmung beschränkt sein, indem beispielsweise die bereits +vorhandene technische Dokumentation um Informationen über die Änderungen, einschließlich neuer Trainings- +datenquellen, ergänzt wird, um die in dieser Verordnung festgelegten Pflichten in der Wertschöpfungskette zu +erfüllen. + + +(110) KI-Modelle mit allgemeinem Verwendungszweck könnten systemische Risiken bergen, unter anderem tatsächliche +oder vernünftigerweise vorhersehbare negative Auswirkungen im Zusammenhang mit schweren Unfällen, +Störungen kritischer Sektoren und schwerwiegende Folgen für die öffentliche Gesundheit und Sicherheit; alle +tatsächlichen oder vernünftigerweise vorhersehbaren negativen Auswirkungen auf die demokratischen Prozesse und +die öffentliche und wirtschaftliche Sicherheit; die Verbreitung illegaler, falscher oder diskriminierender Inhalte. Bei +systemischen Risiken sollte davon ausgegangen werden, dass sie mit den Fähigkeiten und der Reichweite des Modells +zunehmen, während des gesamten Lebenszyklus des Modells auftreten können und von Bedingungen einer +Fehlanwendung, der Zuverlässigkeit des Modells, der Modellgerechtigkeit und der Modellsicherheit, dem Grad der +Autonomie des Modells, seinem Zugang zu Instrumenten, neuartigen oder kombinierten Modalitäten, Freigabe- und +Vertriebsstrategien, dem Potenzial zur Beseitigung von Leitplanken und anderen Faktoren beeinflusst werden. +Insbesondere bei internationalen Ansätzen wurde bisher festgestellt, dass folgenden Risiken Rechnung getragen +werden muss: den Risiken einer möglichen vorsätzlichen Fehlanwendung oder unbeabsichtigter Kontrollprobleme +im Zusammenhang mit der Ausrichtung auf menschliche Absicht; chemischen, biologischen, radiologischen und + +# DE ABl. L vom 12.7.2024 + +28/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +nuklearen Risiken, zum Beispiel Möglichkeiten zur Verringerung der Zutrittsschranken, einschließlich für +Entwicklung, Gestaltung, Erwerb oder Nutzung von Waffen; offensiven Cyberfähigkeiten, zum Beispiel die Art +und Weise, wie Entdeckung, Ausbeutung oder operative Nutzung von Schwachstellen ermöglicht werden können; +den Auswirkungen der Interaktion und des Einsatzes von Instrumenten, einschließlich zum Beispiel der Fähigkeit, +physische Systeme zu steuern und in kritische Infrastrukturen einzugreifen; Risiken, dass Modelle sich selbst +vervielfältigen, oder der „Selbstreplikation“ oder des Trainings anderer Modelle; der Art und Weise, wie Modelle zu +schädlichen Verzerrungen und Diskriminierung mit Risiken für Einzelpersonen, Gemeinschaften oder Gesellschaften +führen können; der Erleichterung von Desinformation oder der Verletzung der Privatsphäre mit Gefahren für +demokratische Werte und Menschenrechte; dem Risiko, dass ein bestimmtes Ereignis zu einer Kettenreaktion mit +erheblichen negativen Auswirkungen führen könnte, die sich auf eine ganze Stadt, eine ganze Tätigkeit in einem +Bereich oder eine ganze Gemeinschaft auswirken könnten. + + +(111) Es ist angezeigt, eine Methodik für die Einstufung von KI-Modellen mit allgemeinem Verwendungszweck als +KI-Modelle mit allgemeinem Verwendungszweck mit systemischen Risiken festzulegen. Da sich systemische Risiken +aus besonders hohen Fähigkeiten ergeben, sollte ein KI-Modell mit allgemeinem Verwendungszweck als Modell mit +systemischen Risiken gelten, wenn es über auf der Grundlage geeigneter technischer Instrumente und Methoden +bewertete Fähigkeiten mit hoher Wirkkraft verfügt oder aufgrund seiner Reichweite erhebliche Auswirkungen auf +den Binnenmarkt hat. „Fähigkeiten mit hoher Wirkkraft“ bei KI-Modellen mit allgemeinem Verwendungszweck +bezeichnet Fähigkeiten, die den bei den fortschrittlichsten KI-Modellen mit allgemeinem Verwendungszweck +festgestellten Fähigkeiten entsprechen oder diese übersteigen. Das gesamte Spektrum der Fähigkeiten eines Modells +könnte besser verstanden werden, nachdem es in Verkehr gebracht wurde oder wenn die Betreiber mit dem Modell +interagieren. Nach dem Stand der Technik zum Zeitpunkt des Inkrafttretens dieser Verordnung ist die kumulierte +Menge der für das Training des KI-Modells mit allgemeinem Verwendungszweck verwendeten Berechnungen, +gemessen in Gleitkommaoperationen, einer der einschlägigen Näherungswerte für Modellfähigkeiten. Die kumulierte +Menge der für das Training verwendeten Berechnungen umfasst die kumulierte Menge der für die Tätigkeiten und +Methoden, mit denen die Fähigkeiten des Modells vor der Einführung verbessert werden sollen, wie zum Beispiel +Vortraining, Generierung synthetischer Daten und Feinabstimmung, verwendeten Berechnungen. Daher sollte ein +erster Schwellenwert der Gleitkommaoperationen festgelegt werden, dessen Erreichen durch ein KI-Modell mit +allgemeinem Verwendungszweck zu der Annahme führt, dass es sich bei dem Modell um ein KI-Modell mit +allgemeinem Verwendungszweck mit systemischen Risiken handelt. Dieser Schwellenwert sollte im Laufe der Zeit +angepasst werden, um technologischen und industriellen Veränderungen, wie zum Beispiel algorithmischen +Verbesserungen oder erhöhter Hardwareeffizienz, Rechnung zu tragen, und um Benchmarks und Indikatoren für die +Modellfähigkeit ergänzt werden. Um die Grundlage dafür zu schaffen, sollte das Büro für Künstliche Intelligenz mit +der Wissenschaftsgemeinschaft, der Industrie, der Zivilgesellschaft und anderen Sachverständigen zusammenarbei- +ten. Schwellenwerte sowie Instrumente und Benchmarks für die Bewertung von Fähigkeiten mit hoher Wirkkraft +sollten zuverlässig die allgemeine Verwendbarkeit, die Fähigkeiten und die mit ihnen verbundenen systemischen +Risikos von KI-Modellen mit allgemeinem Verwendungszweck vorhersagen können und könnten die Art und Weise, +wie das Modell in Verkehr gebracht wird, oder die Zahl der Nutzer, auf die es sich auswirken könnte, berücksichtigen. +Ergänzend zu diesem System sollte die Kommission Einzelentscheidungen treffen können, mit denen ein KI-Modell +mit allgemeinem Verwendungszweck als KI-Modell mit allgemeinem Verwendungszweck mit systemischem Risiko +eingestuft wird, wenn festgestellt wurde, dass dieses Modell Fähigkeiten oder Auswirkungen hat, die den von dem +festgelegten Schwellenwert erfassten entsprechen. Die genannte Entscheidung sollte auf der Grundlage einer +Gesamtbewertung der in einem Anhang dieser Verordnung festgelegten Kriterien für die Benennung von +KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko getroffen werden, etwa Qualität oder +Größe des Trainingsdatensatzes, Anzahl der gewerblichen Nutzer und Endnutzer, seine Ein- und Ausga- +bemodalitäten, sein Grad an Autonomie und Skalierbarkeit oder die Instrumente, zu denen es Zugang hat. Stellt +der Anbieter, dessen Modell als KI-Modell mit allgemeinem Verwendungszweck mit systemischem Risiko benannt +wurde, einen entsprechenden Antrag, sollte die Kommission den Antrag berücksichtigen, und sie kann entscheiden, +erneut zu prüfen, ob beim KI-Modell mit allgemeinem Verwendungszweck immer noch davon ausgegangen werden +kann, dass es systemische Risiken aufweist. + + +(112) Außerdem muss das Verfahren für die Einstufung eines KI-Modell mit allgemeinem Verwendungszweck mit +systemischem Risiko präzisiert werden. Bei einem KI-Modell mit allgemeinem Verwendungszweck, das den +geltenden Schwellenwert für Fähigkeiten mit hoher Wirkkraft erreicht, sollte angenommen werden, dass es sich um +ein KI-Modell mit allgemeinem Verwendungszweck mit systemischem Risiko handelt. Der Anbieter sollte spätestens +zwei Wochen, nachdem die Bedingungen erfüllt sind oder bekannt wird, dass ein KI-Modell mit allgemeinem +Verwendungszweck die Bedingungen, die die Annahme bewirken, erfüllen wird, dies dem Büro für Künstliche +Intelligenz mitteilen. Dies ist insbesondere im Zusammenhang mit dem Schwellenwert der Gleitkommaoperationen +relevant, da das Training von KI-Modellen mit allgemeinem Verwendungszweck eine erhebliche Planung erfordert, +die die vorab durchgeführte Zuweisung von Rechenressourcen umfasst, sodass die Anbieter von KI-Modellen mit +allgemeinem Verwendungszweck vor Abschluss des Trainings erfahren können, ob ihr Modell den Schwellenwert +erreichen wird. Im Rahmen dieser Mitteilung sollte der Anbieter nachweisen können, dass ein KI-Modell mit +allgemeinem Verwendungszweck aufgrund seiner besonderen Merkmale außerordentlicherweise keine systemischen +Risiken birgt und daher nicht als KI-Modell mit allgemeinem Verwendungszweck mit systemischem Risiko eingestuft +werden sollte. Diese Informationen sind für das Büro für Künstliche Intelligenz wertvoll, um das Inverkehrbringen +von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko zu antizipieren, und die Anbieter +können frühzeitig mit der Zusammenarbeit mit dem Büro für Künstliche Intelligenz beginnen. Diese Informationen + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 29/144 + + + +sind besonders wichtig im Hinblick auf KI-Modell mit allgemeinem Verwendungszweck, die als quelloffene Modelle +bereitgestellt werden sollen, da nach der Bereitstellung von quelloffenen Modellen die erforderlichen Maßnahmen zur +Gewährleistung der Einhaltung der Pflichten gemäß dieser Verordnung möglicherweise schwieriger umzusetzen +sind. + + +(113) Erhält die Kommission Kenntnis davon, dass ein KI-Modell mit allgemeinem Verwendungszweck die Anforderungen +für die Einstufung als KI-Modell mit allgemeinem Verwendungszweck mit systemischem Risiko erfüllt, das zuvor +nicht bekannt war oder das der betreffende Anbieter nicht der Kommission gemeldet hat, sollte die Kommission +befugt sein, es als solches auszuweisen. Zusätzlich zu den Überwachungstätigkeiten des Büros für Künstliche +Intelligenz sollte ein System qualifizierter Warnungen sicherstellen, dass das Büro für Künstliche Intelligenz von dem +wissenschaftlichen Gremium von KI-Modelle mit allgemeinem Verwendungszweck in Kenntnis gesetzt wird, die +möglicherweise als KI-Modelle mit allgemeinem Verwendungszweck mit systemischem Risiko eingestuft werden +sollten, was zu den hinzukommt. + + +(114) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck, die systemische Risiken bergen, sollten zusätzlich +zu den Pflichten für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck Pflichten unterliegen, die darauf +abzielen, diese Risiken zu ermitteln und zu mindern und ein angemessenes Maß an Cybersicherheit zu gewährleisten, +unabhängig davon, ob es als eigenständiges Modell bereitgestellt wird oder in ein KI-System oder ein Produkt +eingebettet ist. Um diese Ziele zu erreichen, sollten die Anbieter in dieser Verordnung verpflichtet werden, die +erforderlichen Bewertungen des Modells — insbesondere vor seinem ersten Inverkehrbringen — durchzuführen, +wozu auch die Durchführung und Dokumentation von Angriffstests bei Modellen gehören, gegebenenfalls auch im +Rahmen interner oder unabhängiger externer Tests. Darüber hinaus sollten KI-Modellen mit allgemeinem +Verwendungszweck mit systemischem Risiko fortlaufend systemische Risiken bewerten und mindern, unter anderem +durch die Einführung von Risikomanagementstrategien wie Verfahren der Rechenschaftspflicht und Governance- +Verfahren, die Umsetzung der Beobachtung nach dem Inverkehrbringen, die Ergreifung geeigneter Maßnahmen +während des gesamten Lebenszyklus des Modells und die Zusammenarbeit mit einschlägigen Akteuren entlang der +KI-Wertschöpfungskette. + + +(115) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko sollten mögliche +systemische Risiken bewerten und mindern. Wenn trotz der Bemühungen um Ermittlung und Vermeidung von +Risiken im Zusammenhang mit einem KI-Modell mit allgemeinem Verwendungszweck, das systemische Risiken +bergen könnte, die Entwicklung oder Verwendung des Modells einen schwerwiegenden Vorfall verursacht, so sollte +der Anbieter des KI-Modells mit allgemeinem Verwendungszweck unverzüglich dem Vorfall nachgehen und der +Kommission und den zuständigen nationalen Behörden alle einschlägigen Informationen und mögliche +Korrekturmaßnahmen mitteilen. Zudem sollten die Anbieter während des gesamten Lebenszyklus des Modells ein +angemessenes Maß an Cybersicherheit für das Modell und seine physische Infrastruktur gewährleisten. Beim Schutz +der Cybersicherheit im Zusammenhang mit systemischen Risiken, die mit böswilliger Nutzung oder böswilligen +Angriffen verbunden sind, sollte der unbeabsichtigte Modelldatenverlust, die unerlaubte Bereitstellung, die +Umgehung von Sicherheitsmaßnahmen und der Schutz vor Cyberangriffen, unbefugtem Zugriff oder Modell- +diebstahl gebührend beachtet werden. Dieser Schutz könnte durch die Sicherung von Modellgewichten, +Algorithmen, Servern und Datensätzen erleichtert werden, z. B. durch Betriebssicherheitsmaßnahmen für die +Informationssicherheit, spezifische Cybersicherheitsstrategien, geeignete technische und etablierte Lösungen sowie +Kontrollen des physischen Zugangs und des Cyberzugangs, die den jeweiligen Umständen und den damit +verbundenen Risiken angemessen sind. + + +(116) Das Büro für Künstliche Intelligenz sollte die Ausarbeitung, Überprüfung und Anpassung von Praxisleitfäden unter +Berücksichtigung internationaler Ansätze fördern und erleichtern. Alle Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck könnten ersucht werden, sich daran zu beteiligen. Um sicherzustellen, dass die Praxisleitfäden +dem Stand der Technik entsprechen und unterschiedlichen Perspektiven gebührend Rechnung tragen, sollte das Büro +für Künstliche Intelligenz bei der Ausarbeitung solcher Leitfäden mit den einschlägigen zuständigen nationalen +Behörden zusammenarbeiten und könnte dabei gegebenenfalls Organisationen der Zivilgesellschaft und andere +einschlägige Interessenträger und Sachverständige, einschließlich des wissenschaftlichen Gremiums, konsultieren. +Die Praxisleitfäden sollten die Pflichten für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck und von +KI-Modellen mit allgemeinem Verwendungszweck, die systemische Risiken bergen, abdecken. Ferner sollten +Praxisleitfäden im Zusammenhang mit systemischen Risiken dazu beitragen, dass eine Risikotaxonomie für Art und +Wesen der systemischen Risiken auf Unionsebene, einschließlich ihrer Ursachen, festgelegt wird. Bei den +Praxisleitfäden sollten auch auf spezifische Maßnahmen zur Risikobewertung und -minderung im Mittelpunkt +stehen. + + +(117) Die Verhaltenskodizes sollten ein zentrales Instrument für die ordnungsgemäße Einhaltung der in dieser Verordnung +für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck vorgesehenen Pflichten darstellen. Die Anbieter +sollten sich auf Verhaltenskodizes stützen können, um die Einhaltung der Pflichten nachzuweisen. Die Kommission +kann im Wege von Durchführungsrechtsakten beschließen, einen Praxisleitfaden zu genehmigen und ihm eine +allgemeine Gültigkeit in der Union zu verleihen oder alternativ gemeinsame Vorschriften für die Umsetzung der +einschlägigen Pflichten festzulegen, wenn ein Verhaltenskodex bis zum Zeitpunkt der Anwendbarkeit dieser +Verordnung nicht fertiggestellt werden kann oder dies vom Büro für Künstliche Intelligenz für nicht angemessen + +# DE ABl. L vom 12.7.2024 + +30/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +erachtet wird. Sobald eine harmonisierte Norm veröffentlicht und als geeignet bewertet wurde, um die einschlägigen +Pflichten des Büros für Künstliche Intelligenz abzudecken, sollte die Einhaltung einer harmonisierten europäischen +Norm den Anbietern die Konformitätsvermutung begründen. Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck sollten darüber hinaus in der Lage sein, die Konformität mit angemessenen alternativen Mitteln +nachzuweisen, wenn Praxisleitfäden oder harmonisierte Normen nicht verfügbar sind oder sie sich dafür +entscheiden, sich nicht auf diese zu stützen. + + +(118) Mit dieser Verordnung werden KI-Systeme und KI-Modelle reguliert, indem einschlägigen Marktteilnehmern, die sie +in der Union in Verkehr bringen, in Betrieb nehmen oder verwenden, bestimmte Anforderungen und Pflichten +auferlegt werden, wodurch die Pflichten für Anbieter von Vermittlungsdiensten ergänzt werden, die solche Systeme +oder Modelle in ihre unter die Verordnung (EU) 2022/2065 fallenden Dienste integrieren. Soweit solche Systeme +oder Modelle in als sehr groß eingestufte Online-Plattformen oder als sehr groß eingestufte Online-Suchmaschinen +eingebettet sind, unterliegen sie dem in der Verordnung (EU) 2022/2065 vorgesehenen Rahmen für das +Risikomanagement. Folglich sollte angenommen werden, dass die entsprechenden Verpflichtungen dieser +Verordnung erfüllt sind, es sei denn, in solchen Modellen treten erhebliche systemische Risiken auf, die nicht +unter die Verordnung (EU) 2022/2065 fallen, und werden dort ermittelt. Im vorliegenden Rahmen sind Anbieter +sehr großer Online-Plattformen und sehr großer Online-Suchmaschinen verpflichtet, potenzielle systemische +Risiken, die sich aus dem Entwurf, dem Funktionieren und der Nutzung ihrer Dienste ergeben, einschließlich der +Frage, wie der Entwurf der in dem Dienst verwendeten algorithmischen Systeme zu solchen Risiken beitragen kann, +sowie systemische Risiken, die sich aus potenziellen Fehlanwendungen ergeben, zu bewerten. Diese Anbieter sind +zudem verpflichtet, unter Wahrung der Grundrechte geeignete Risikominderungsmaßnahmen zu ergreifen. + + +(119) Angesichts des raschen Innovationstempos und der technologischen Entwicklung digitaler Dienste, die in den +Anwendungsbereich verschiedener Instrumente des Unionsrechts fallen, können insbesondere unter Berück- +sichtigung der Verwendung durch ihre Nutzer und deren Wahrnehmung die dieser Verordnung unterliegenden +KI-Systeme als Vermittlungsdienste oder Teile davon im Sinne der Verordnung (EU) 2022/2065 bereitgestellt +werden, was technologieneutral ausgelegt werden sollte. Beispielsweise können KI-Systeme als Online-Suchma- +schinen verwendet werden, insbesondere wenn ein KI-System wie ein Online-Chatbot grundsätzlich alle Websites +durchsucht, die Ergebnisse anschließend in sein vorhandenes Wissen integriert und das aktualisierte Wissen nutzt, +um eine einzige Ausgabe zu generieren, bei der verschiedene Informationsquellen zusammengeführt wurden. + + +(120) Zudem sind die Pflichten, die Anbietern und Betreibern bestimmter KI-Systeme mit dieser Verordnung auferlegt +werden, um die Feststellung und Offenlegung zu ermöglichen, dass die Ausgaben dieser Systeme künstlich erzeugt +oder manipuliert werden, von besonderer Bedeutung für die Erleichterung der wirksamen Umsetzung der +Verordnung (EU) 2022/2065. Dies gilt insbesondere für die Pflichten der Anbieter sehr großer Online-Plattformen +oder sehr großer Online-Suchmaschinen, systemische Risiken zu ermitteln und zu mindern, die aus der Verbreitung +von künstlich erzeugten oder manipulierten Inhalten entstehen können, insbesondere das Risiko tatsächlicher oder +vorhersehbarer negativer Auswirkungen auf demokratische Prozesse, den gesellschaftlichen Diskurs und +Wahlprozesse, unter anderem durch Desinformation. + + +(121) Die Normung sollte eine Schlüsselrolle dabei spielen, den Anbietern technische Lösungen zur Verfügung zu stellen, +um im Einklang mit dem Stand der Technik die Einhaltung dieser Verordnung zu gewährleisten und Innovation +sowie Wettbewerbsfähigkeit und Wachstum im Binnenmarkt zu fördern. Die Einhaltung harmonisierter Normen im +Sinne von Artikel 2 Nummer 1 Buchstabe c der Verordnung (EU) Nr. 1025/2012 des Europäischen Parlaments und +des Rates (^41 ), die normalerweise den Stand der Technik widerspiegeln sollten, sollte den Anbietern den Nachweis der +Konformität mit den Anforderungen der vorliegenden Verordnung ermöglichen. Daher sollte eine ausgewogene +Interessenvertretung unter Einbeziehung aller relevanten Interessenträger, insbesondere KMU, Verbraucherorgani- +sationen sowie ökologischer und sozialer Interessenträger, bei der Entwicklung von Normen gemäß den Artikeln 5 +und 6 der Verordnung (EU) Nr. 1025/2012, gefördert werden. Um die Einhaltung der Vorschriften zu erleichtern, +sollten die Normungsaufträge von der Kommission unverzüglich erteilt werden. Bei der Ausarbeitung des +Normungsauftrags sollte die Kommission das Beratungsforum und das KI-Gremium konsultieren, um einschlägiges +Fachwissen einzuholen. In Ermangelung einschlägiger Fundstellen zu harmonisierten Normen sollte die Kommission +jedoch im Wege von Durchführungsrechtsakten und nach Konsultation des Beratungsforums gemeinsame +Spezifikationen für bestimmte Anforderungen im Rahmen dieser Verordnung festlegen können. Die gemeinsame +Spezifikation sollte eine außergewöhnliche Ausweichlösung sein, um die Pflicht des Anbieters zur Einhaltung der +Anforderungen dieser Verordnung zu erleichtern, wenn der Normungsauftrag von keiner der europäischen +Normungsorganisationen angenommen wurde oder die einschlägigen harmonisierten Normen den Bedenken im +Bereich der Grundrechte nicht ausreichend Rechnung tragen oder die harmonisierten Normen dem Auftrag nicht +entsprechen oder es Verzögerungen bei der Annahme einer geeigneten harmonisierten Norm gibt. Ist eine solche +Verzögerung bei der Annahme einer harmonisierten Norm auf die technische Komplexität dieser Norm + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 31/144 + + +(^41 ) Verordnung (EU) Nr. 1025/2012 des Europäischen Parlaments und des Rates vom 25. Oktober 2012 zur europäischen Normung, +zur Änderung der Richtlinien 89/686/EWG und 93/15/EWG des Rates sowie der Richtlinien 94/9/EG, 94/25/EG, 95/16/EG, +97/23/EG, 98/34/EG, 2004/22/EG, 2007/23/EG, 2009/23/EG und 2009/105/EG des Europäischen Parlaments und des Rates und +zur Aufhebung des Beschlusses 87/95/EWG des Rates und des Beschlusses Nr. 1673/2006/EG des Europäischen Parlaments und des +Rates (ABl. L 316 vom 14.11.2012, S. 12). + + + +zurückzuführen, so sollte die Kommission dies prüfen, bevor sie die Festlegung gemeinsamer Spezifikationen in +Erwägung zieht. Die Kommission wird ermutigt, bei der Entwicklung gemeinsamer Spezifikationen mit +internationalen Partnern und internationalen Normungsgremien zusammenzuarbeiten. + + +(122) Unbeschadet der Anwendung harmonisierter Normen und gemeinsamer Spezifikationen ist es angezeigt, dass für +Anbieter von Hochrisiko-KI-Systemen, die mit Daten, in denen sich die besonderen geografischen, verhaltensbe- +zogenen, kontextuellen oder funktionalen Rahmenbedingungen niederschlagen, unter denen sie verwendet werden +sollen, trainiert und getestet wurden, die Vermutung der Konformität mit der einschlägigen Maßnahme gilt, die im +Rahmen der in dieser Verordnung festgelegten Anforderungen an die Daten-Governance vorgesehen ist. +Unbeschadet der in dieser Verordnung festgelegten Anforderungen an Robustheit und Genauigkeit sollte gemäß +Artikel 54 Absatz 3 der Verordnung (EU) 2019/881 bei Hochrisiko-KI-Systemen, die im Rahmen eines Schemas für +die Cybersicherheit gemäß der genannten Verordnung zertifiziert wurden oder für die eine Konformitätserklärung +ausgestellt wurde und deren Fundstellen im Amtsblatt der Europäischen Union veröffentlicht wurden, vermutet werden, +dass eine Übereinstimmung mit den Cybersicherheitsanforderungen der vorliegenden Verordnung gegeben ist, +sofern das Cybersicherheitszertifikat oder die Konformitätserklärung oder Teile davon die Cybersicherheitsan- +forderungen dieser Verordnung abdecken. Dies gilt unbeschadet des freiwilligen Charakters dieses Schemas für die +Cybersicherheit. + + +(123) Um ein hohes Maß an Vertrauenswürdigkeit von Hochrisiko-KI-Systemen zu gewährleisten, sollten diese Systeme +einer Konformitätsbewertung unterzogen werden, bevor sie in Verkehr gebracht oder in Betrieb genommen werden. + + +(124) Damit für Akteure möglichst wenig Aufwand entsteht und etwaige Doppelarbeit vermieden wird, ist es angezeigt, +dass bei Hochrisiko-KI-Systemen im Zusammenhang mit Produkten, die auf der Grundlage des neuen +Rechtsrahmens unter bestehende Harmonisierungsrechtsvorschriften der Union fallen, im Rahmen der bereits in +den genannten Rechtsvorschriften vorgesehenen Konformitätsbewertung bewertet wird, ob diese KI-Systeme den +Anforderungen dieser Verordnung genügen. Die Anwendbarkeit der Anforderungen dieser Verordnung sollte daher +die besondere Logik, Methodik oder allgemeine Struktur der Konformitätsbewertung gemäß den einschlägigen +Harmonisierungsrechtsvorschriften der Union unberührt lassen. + + +(125) Angesichts der Komplexität von Hochrisiko-KI-Systemen und der damit verbundenen Risiken ist es wichtig, ein +angemessenes Konformitätsbewertungsverfahren für Hochrisiko-KI-Systeme, an denen notifizierte Stellen beteiligt +sind, — die sogenannte Konformitätsbewertung durch Dritte — zu entwickeln. In Anbetracht der derzeitigen +Erfahrung professioneller dem Inverkehrbringen vorgeschalteter Zertifizierer im Bereich der Produktsicherheit und +der unterschiedlichen Art der damit verbundenen Risiken empfiehlt es sich jedoch, zumindest während der +anfänglichen Anwendung dieser Verordnung für Hochrisiko-KI-Systeme, die nicht mit Produkten in Verbindung +stehen, den Anwendungsbereich der Konformitätsbewertung durch Dritte einzuschränken. Daher sollte die +Konformitätsbewertung solcher Systeme in der Regel vom Anbieter in eigener Verantwortung durchgeführt werden, +mit Ausnahme von KI-Systemen, die für die Biometrie verwendet werden sollen. + + +(126) Damit KI-Systeme, falls vorgeschrieben, Konformitätsbewertungen durch Dritte unterzogen werden können, sollten +die notifizierten Stellen gemäß dieser Verordnung von den zuständigen nationalen Behörden notifiziert werden, +sofern sie eine Reihe von Anforderungen erfüllen, insbesondere in Bezug auf Unabhängigkeit, Kompetenz, +Nichtvorliegen von Interessenkonflikten und geeignete Anforderungen an die Cybersicherheit. Die Notifizierung +dieser Stellen sollte von den zuständigen nationalen Behörden der Kommission und den anderen Mitgliedstaaten +mittels des von der Kommission entwickelten und verwalteten elektronischen Notifizierungsinstruments gemäß +Anhang I Artikel R23 des Beschlusses Nr. 768/2008/EG übermittelt werden. + + +(127) Im Einklang mit den Verpflichtungen der Union im Rahmen des Übereinkommens der Welthandelsorganisation +über technische Handelshemmnisse ist es angemessen, die gegenseitige Anerkennung von Konformitätsbewer- +tungsergebnissen zu erleichtern, die von den zuständigen Konformitätsbewertungsstellen unabhängig von dem +Gebiet, in dem sie niedergelassen sind, generiert wurden, sofern diese nach dem Recht eines Drittlandes errichteten +Konformitätsbewertungsstellen die geltenden Anforderungen dieser Verordnung erfüllen und die Union ein +entsprechendes Abkommen geschlossen hat. In diesem Zusammenhang sollte die Kommission aktiv mögliche +internationale Instrumente zu diesem Zweck prüfen und insbesondere den Abschluss von Abkommen über die +gegenseitige Anerkennung mit Drittländern anstreben. + + +(128) Im Einklang mit dem allgemein anerkannten Begriff der wesentlichen Änderung von Produkten, für die +Harmonisierungsvorschriften der Union gelten, ist es angezeigt, dass das KI-System bei jeder Änderung, die die +Einhaltung dieser Verordnung durch das Hochrisiko-KI-System beeinträchtigen könnte (z. B. Änderung des +Betriebssystems oder der Softwarearchitektur), oder wenn sich die Zweckbestimmung des Systems ändert, als neues +KI-System betrachtet werden sollte, das einer neuen Konformitätsbewertung unterzogen werden sollte. Änderungen, +die den Algorithmus und die Leistung von KI-Systemen betreffen, die nach dem Inverkehrbringen oder der +Inbetriebnahme weiterhin dazulernen — d. h., sie passen automatisch an, wie die Funktionen ausgeführt werden —, +sollten jedoch keine wesentliche Veränderung darstellen, sofern diese Änderungen vom Anbieter vorab festgelegt +und zum Zeitpunkt der Konformitätsbewertung bewertet wurden. + +# DE ABl. L vom 12.7.2024 + +32/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(129) Hochrisiko-KI-Systeme sollten grundsätzlich mit der CE-Kennzeichnung versehen sein, aus der ihre Konformität mit +dieser Verordnung hervorgeht, sodass sie frei im Binnenmarkt verkehren können. Bei in ein Produkt integrierten +Hochrisiko-KI-Systemen sollte eine physische CE-Kennzeichnung angebracht werden, die durch eine digitale +CE-Kennzeichnung ergänzt werden kann. Bei Hochrisiko-KI-Systemen, die nur digital bereitgestellt werden, sollte +eine digitale CE-Kennzeichnung verwendet werden. Die Mitgliedstaaten sollten keine ungerechtfertigten Hindernisse +für das Inverkehrbringen oder die Inbetriebnahme von Hochrisiko-KI-Systemen schaffen, die die in dieser +Verordnung festgelegten Anforderungen erfüllen und mit der CE-Kennzeichnung versehen sind. + + +(130) Unter bestimmten Bedingungen kann die rasche Verfügbarkeit innovativer Technik für die Gesundheit und Sicherheit +von Menschen, den Schutz der Umwelt und vor dem Klimawandel und die Gesellschaft insgesamt von +entscheidender Bedeutung sein. Es ist daher angezeigt, dass die Aufsichtsbehörden aus außergewöhnlichen Gründen +der öffentlichen Sicherheit, des Schutzes des Lebens und der Gesundheit natürlicher Personen, des Umweltschutzes +und des Schutzes wichtiger Industrie- und Infrastrukturanlagen das Inverkehrbringen oder die Inbetriebnahme von +KI-Systemen, die keiner Konformitätsbewertung unterzogen wurden, genehmigen könnten. In hinreichend +begründeten Fällen gemäß dieser Verordnung können Strafverfolgungs- oder Katastrophenschutzbehörden ein +bestimmtes Hochrisiko-KI-System ohne Genehmigung der Marktüberwachungsbehörde in Betrieb nehmen, sofern +diese Genehmigung während der Verwendung oder im Anschluss daran unverzüglich beantragt wird. + + +(131) Um die Arbeit der Kommission und der Mitgliedstaaten im KI-Bereich zu erleichtern und die Transparenz gegenüber +der Öffentlichkeit zu erhöhen, sollten Anbieter von Hochrisiko-KI-Systemen, die nicht im Zusammenhang mit +Produkten stehen, welche in den Anwendungsbereich einschlägiger Harmonisierungsrechtsvorschriften der Union +fallen, und Anbieter, die der Auffassung sind, dass ein KI-System, das in den in einem Anhang dieser Verordnung +aufgeführten Anwendungsfällen mit hohem Risiko aufgeführt ist, auf der Grundlage einer Ausnahme nicht +hochriskant ist, dazu verpflichtet werden, sich und Informationen über ihr KI-System in einer von der Kommission +einzurichtenden und zu verwaltenden EU-Datenbank zu registrieren. Vor der Verwendung eines KI-Systems, das in +den in einem Anhang dieser Verordnung aufgeführten Anwendungsfällen mit hohem Risiko aufgeführt ist, sollten +sich Betreiber von Hochrisiko-KI-Systemen, die Behörden, Einrichtungen oder sonstige Stellen sind, in dieser +Datenbank registrieren und das System auswählen, dessen Verwendung sie planen. Andere Betreiber sollten +berechtigt sein, dies freiwillig zu tun. Dieser Teil der EU-Datenbank sollte öffentlich und kostenlos zugänglich sein, +und die Informationen sollten leicht zu navigieren, verständlich und maschinenlesbar sein. Die EU-Datenbank sollte +außerdem benutzerfreundlich sein und beispielsweise die Suche, auch mit Stichwörtern, vorsehen, damit die breite +Öffentlichkeit die einschlägigen Informationen finden kann, die bei der Registrierung von Hochrisiko-KI-Systemen +einzureichen sind und die sich auf einen in einem Anhang dieser Verordnung aufgeführten Anwendungsfall der +Hochrisiko-KI-Systeme, denen die betreffenden Hochrisiko-KI-Systeme entsprechen, beziehen. Jede wesentliche +Veränderung von Hochrisiko-KI-Systemen sollte ebenfalls in der EU-Datenbank registriert werden. Bei Hochrisiko- +KI-Systemen, die in den Bereichen Strafverfolgung, Migration, Asyl und Grenzkontrolle eingesetzt werden, sollten die +Registrierungspflichten in einem sicheren nicht öffentlichen Teil der EU-Datenbank erfüllt werden. Der Zugang zu +dem gesicherten nicht öffentlichen Teil sollte sich strikt auf die Kommission sowie auf die Marktüberwachungs- +behörden und bei diesen auf ihren nationalen Teil dieser Datenbank beschränken. Hochrisiko-KI-Systeme im Bereich +kritischer Infrastrukturen sollten nur auf nationaler Ebene registriert werden. Die Kommission sollte gemäß der +Verordnung (EU) 2018/1725 als für die EU-Datenbank Verantwortlicher gelten. Um die volle Funktionsfähigkeit der +EU-Datenbank zu gewährleisten, sollte das Verfahren für die Einrichtung der Datenbank auch die Entwicklung von +funktionalen Spezifikationen durch die Kommission und einen unabhängigen Prüfbericht umfassen. Die +Kommission sollte bei der Wahrnehmung ihrer Aufgaben als Verantwortliche für die EU-Datenbank die Risiken +im Zusammenhang mit Cybersicherheit berücksichtigen. Um für ein Höchstmaß an Verfügbarkeit und Nutzung der +EU-Datenbank durch die Öffentlichkeit zu sorgen, sollte die EU-Datenbank, einschließlich der über sie zur Verfügung +gestellten Informationen, den Anforderungen der Richtlinie (EU) 2019/882 entsprechen. + + +(132) Bestimmte KI-Systeme, die mit natürlichen Personen interagieren oder Inhalte erzeugen sollen, können unabhängig +davon, ob sie als hochriskant eingestuft werden, ein besonderes Risiko in Bezug auf Identitätsbetrug oder Täuschung +bergen. Unter bestimmten Umständen sollte die Verwendung solcher Systeme daher — unbeschadet der +Anforderungen an und Pflichten für Hochrisiko-KI-Systeme und vorbehaltlich punktueller Ausnahmen, um den +besonderen Erfordernissen der Strafverfolgung Rechnung zu tragen — besonderen Transparenzpflichten unterliegen. +Insbesondere sollte natürlichen Personen mitgeteilt werden, dass sie es mit einem KI-System zu tun haben, es sei +denn, dies ist aus Sicht einer angemessen informierten, aufmerksamen und verständigen natürlichen Person +aufgrund der Umstände und des Kontexts der Nutzung offensichtlich. Bei der Umsetzung dieser Pflicht sollten die +Merkmale von natürlichen Personen, die aufgrund ihres Alters oder einer Behinderung schutzbedürftigen Gruppen +angehören, berücksichtigt werden, soweit das KI-System auch mit diesen Gruppen interagieren soll. Darüber hinaus +sollte natürlichen Personen mitgeteilt werden, wenn sie KI-Systemen ausgesetzt sind, die durch die Verarbeitung ihrer +biometrischen Daten die Gefühle oder Absichten dieser Personen identifizieren oder ableiten oder sie bestimmten +Kategorien zuordnen können. Solche spezifischen Kategorien können Aspekte wie etwa Geschlecht, Alter, Haarfarbe, +Augenfarbe, Tätowierungen, persönliche Merkmale, ethnische Herkunft sowie persönliche Vorlieben und Interessen +betreffen. Diese Informationen und Mitteilungen sollten für Menschen mit Behinderungen in entsprechend +barrierefrei zugänglicher Form bereitgestellt werden. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 33/144 + + + +(133) Eine Vielzahl von KI-Systemen kann große Mengen synthetischer Inhalte erzeugen, bei denen es für Menschen +immer schwieriger wird, sie vom Menschen erzeugten und authentischen Inhalten zu unterscheiden. Die breite +Verfügbarkeit und die zunehmenden Fähigkeiten dieser Systeme wirken sich erheblich auf die Integrität des +Informationsökosystems und das ihm entgegengebrachte Vertrauen aus, weil neue Risiken in Bezug auf +Fehlinformation und Manipulation in großem Maßstab, Betrug, Identitätsbetrug und Täuschung der Verbraucher +entstehen. Angesichts dieser Auswirkungen, des raschen Tempos im Technologiebereich und der Notwendigkeit +neuer Methoden und Techniken zur Rückverfolgung der Herkunft von Informationen sollten die Anbieter dieser +Systeme verpflichtet werden, technische Lösungen zu integrieren, die die Kennzeichnung in einem maschinen- +lesbaren Format und die Feststellung ermöglichen, dass die Ausgabe von einem KI-System und nicht von einem +Menschen erzeugt oder manipuliert wurde. Diese Techniken und Methoden sollten — soweit technisch möglich — +hinreichend zuverlässig, interoperabel, wirksam und belastbar sein, wobei verfügbare Techniken, wie Wasserzeichen, +Metadatenidentifizierungen, kryptografische Methoden zum Nachweis der Herkunft und Authentizität des Inhalts, +Protokollierungsmethoden, Fingerabdrücke oder andere Techniken, oder eine Kombination solcher Techniken je +nach Sachlage zu berücksichtigen sind. Bei der Umsetzung dieser Pflicht sollten die Anbieter auch die Besonderheiten +und Einschränkungen der verschiedenen Arten von Inhalten und die einschlägigen technologischen Entwicklungen +und Marktentwicklungen in diesem Bereich, die dem allgemein anerkannten Stand der Technik entsprechen, +berücksichtigen. Solche Techniken und Methoden können auf der Ebene des KI-Systems oder der Ebene des +KI-Modells, darunter KI-Modelle mit allgemeinem Verwendungszweck zur Erzeugung von Inhalten, angewandt +werden, wodurch dem nachgelagerten Anbieter des KI-Systems die Erfüllung dieser Pflicht erleichtert wird. Um die +Verhältnismäßigkeit zu wahren, sollte vorgesehen werden, dass diese Kennzeichnungspflicht weder für KI-Systeme, +die in erster Linie eine unterstützende Funktion für die Standardbearbeitung ausführen, noch für KI-Systeme, die die +vom Betreiber bereitgestellten Eingabedaten oder deren Semantik nicht wesentlich verändern, gilt. + + +(134) Neben den technischen Lösungen, die von den Anbietern von KI-Systemen eingesetzt werden, sollten Betreiber, die +ein KI-System zum Erzeugen oder Manipulieren von Bild-, Audio- oder Videoinhalte verwenden, die wirklichen +Personen, Gegenständen, Orten, Einrichtungen oder Ereignissen merklich ähneln und einer Person fälschlicherweise +echt oder wahr erscheinen würden (Deepfakes), auch klar und deutlich offenlegen, dass die Inhalte künstlich erzeugt +oder manipuliert wurden, indem sie die Ausgaben von KI entsprechend kennzeichnen und auf ihren künstlichen +Ursprung hinweisen. Die Einhaltung dieser Transparenzpflicht sollte nicht so ausgelegt werden, dass sie darauf +hindeutet, dass die Verwendung des KI-Systems oder seiner Ausgabe das Recht auf freie Meinungsäußerung und das +Recht auf Freiheit der Kunst und Wissenschaft, die in der Charta garantiert sind, behindern, insbesondere wenn der +Inhalt Teil eines offensichtlich kreativen, satirischen, künstlerischen, fiktionalen oder analogen Werks oder +Programms ist und geeignete Schutzvorkehrungen für die Rechte und Freiheiten Dritter bestehen. In diesen Fällen +beschränkt sich die in dieser Verordnung festgelegte Transparenzpflicht für Deepfakes darauf, das Vorhandenseins +solcher erzeugten oder manipulierten Inhalte in geeigneter Weise offenzulegen, die die Darstellung oder den Genuss +des Werks, einschließlich seiner normalen Nutzung und Verwendung, nicht beeinträchtigt und gleichzeitig den +Nutzen und die Qualität des Werks aufrechterhält. Darüber hinaus ist es angezeigt, eine ähnliche Offenlegungspflicht +in Bezug auf durch KI erzeugte oder manipulierte Texte anzustreben, soweit diese veröffentlicht werden, um die +Öffentlichkeit über Angelegenheiten von öffentlichem Interesse zu informieren, es sei denn, die durch KI erzeugten +Inhalte wurden einem Verfahren der menschlichen Überprüfung oder redaktionellen Kontrolle unterzogen und eine +natürliche oder juristische Person trägt die redaktionelle Verantwortung für die Veröffentlichung der Inhalte. + + +(135) Unbeschadet des verbindlichen Charakters und der uneingeschränkten Anwendbarkeit der Transparenzpflichten +kann die Kommission zudem die Ausarbeitung von Praxisleitfäden auf Unionsebene im Hinblick auf die +Ermöglichung der wirksamen Umsetzung der Pflichten in Bezug auf die Feststellung und Kennzeichnung künstlich +erzeugter oder manipulierter Inhalte erleichtern und fördern, auch um praktische Vorkehrungen zu unterstützen, mit +denen gegebenenfalls die Feststellungsmechanismen zugänglich gemacht werden, die Zusammenarbeit mit anderen +Akteuren entlang der Wertschöpfungskette erleichtert wird und Inhalte verbreitet oder ihre Echtheit und Herkunft +überprüft werden, damit die Öffentlichkeit durch KI erzeugte Inhalte wirksam erkennen kann. + + +(136) Die Pflichten, die Anbietern und Betreibern bestimmter KI-Systeme mit dieser Verordnung auferlegt werden, die +Feststellung und Offenlegung zu ermöglichen, dass die Ausgaben dieser Systeme künstlich erzeugt oder manipuliert +werden, sind von besonderer Bedeutung für die Erleichterung der wirksamen Umsetzung der Verordnung (EU) +2022/2065. Dies gilt insbesondere für die Pflicht der Anbieter sehr großer Online-Plattformen oder sehr großer +Online-Suchmaschinen, systemische Risiken zu ermitteln und zu mindern, die aus der Verbreitung von künstlich +erzeugten oder manipulierten Inhalten entstehen können, insbesondere das Risiko tatsächlicher oder vorhersehbarer +negativer Auswirkungen auf demokratische Prozesse, den gesellschaftlichen Diskurs und Wahlprozesse, unter +anderem durch Desinformation. Die Anforderung gemäß dieser Verordnung, durch KI-Systeme erzeugte Inhalte zu +kennzeichnen, berührt nicht die Pflicht in Artikel 16 Absatz 6 der Verordnung (EU) 2022/2065 für Anbieter von +Hostingdiensten, gemäß Artikel 16 Absatz 1 der genannten Verordnung eingegangene Meldungen über illegale +Inhalte zu bearbeiten, und sollte nicht die Beurteilung der Rechtswidrigkeit der betreffenden Inhalte und die +Entscheidung darüber beeinflussen. Diese Beurteilung sollte ausschließlich anhand der Vorschriften für die +Rechtmäßigkeit der Inhalte vorgenommen werden. + +# DE ABl. L vom 12.7.2024 + +34/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(137) Die Einhaltung der Transparenzpflichten für die von dieser Verordnung erfassten KI-Systeme sollte nicht als Hinweis +darauf ausgelegt werden, dass die Verwendung des KI-Systems oder seiner Ausgabe nach dieser Verordnung oder +anderen Rechtsvorschriften der Union und der Mitgliedstaaten rechtmäßig ist, und sollte andere Transparenz- +pflichten für Betreiber von KI-Systemen, die im Unionsrecht oder im nationalen Recht festgelegt sind, unberührt +lassen. + + +(138) KI bezeichnet eine Reihe sich rasch entwickelnder Technologien, die eine Regulierungsaufsicht und einen sicheren +und kontrollierten Raum für die Erprobung erfordern, wobei gleichzeitig eine verantwortungsvolle Innovation und +die Integration geeigneter Schutzvorkehrungen und Risikominderungsmaßnahmen gewährleistet werden müssen. +Um einen innovationsfördernden, zukunftssicheren und gegenüber Störungen widerstandsfähigen Rechtsrahmen +sicherzustellen, sollten die Mitgliedstaaten sicherstellen, dass ihre zuständigen nationalen Behörden mindestens ein +KI-Reallabor auf nationaler Ebene einrichten, um die Entwicklung und die Erprobung innovativer KI-Systeme vor +deren Inverkehrbringen oder anderweitiger Inbetriebnahme unter strenger Regulierungsaufsicht zu erleichtern. Die +Mitgliedstaaten könnten diese Pflicht auch erfüllen, indem sie sich an bereits bestehenden Reallaboren beteiligen oder +ein Reallabor mit den zuständigen Behörden eines oder mehrerer Mitgliedstaaten gemeinsam einrichten, insoweit +diese Beteiligung eine gleichwertige nationale Abdeckung für die teilnehmenden Mitgliedstaaten bietet. KI-Reallabore +könnten in physischer, digitaler oder Hybrid-Form eingerichtet werden, und sie können physische sowie digitale +Produkte umfassen. Die einrichtenden Behörden sollten ferner sicherstellen, dass die KI-Reallabore über angemessene +Ressourcen für ihre Aufgaben, einschließlich finanzieller und personeller Ressourcen, verfügen. + + +(139) Die Ziele der KI-Reallabore sollten in Folgendem bestehen: Innovationen im Bereich KI zu fördern, indem eine +kontrollierte Versuchs- und Testumgebung für die Entwicklungsphase und die dem Inverkehrbringen vorgelagerte +Phase geschaffen wird, um sicherzustellen, dass die innovativen KI-Systeme mit dieser Verordnung und anderem +einschlägigen Unionsrecht und dem nationalen Recht in Einklang stehen. Darüber hinaus sollten die KI-Reallabore +darauf abzielen, die Rechtssicherheit für Innovatoren sowie die Aufsicht und das Verständnis der zuständigen +Behörden in Bezug auf die Möglichkeiten, neu auftretenden Risiken und Auswirkungen der KI-Nutzung zu +verbessern, das regulatorische Lernen für Behörden und Unternehmen zu erleichtern, unter anderem im Hinblick auf +künftige Anpassungen des Rechtsrahmens, die Zusammenarbeit und den Austausch bewährter Praktiken mit den an +dem KI-Reallabor beteiligten Behörden zu unterstützen und den Marktzugang zu beschleunigen, unter anderem +indem Hindernisse für KMU, einschließlich Start-up-Unternehmen, abgebaut werden. KI-Reallabore sollten in der +gesamten Union weithin verfügbar sein, und ein besonderes Augenmerk sollte auf ihre Zugänglichkeit für KMU, +einschließlich Start-up-Unternehmen, gelegt werden. Die Beteiligung am KI-Reallabor sollte sich auf Fragen +konzentrieren, die zu Rechtsunsicherheit für Anbieter und zukünftige Anbieter führen, damit sie Innovationen +vornehmen, mit KI in der Union experimentieren und zu evidenzbasiertem regulatorischen Lernen beitragen. Die +Beaufsichtigung der KI-Systeme im KI-Reallabor sollte sich daher auf deren Entwicklung, Training, Testen und +Validierung vor dem Inverkehrbringen oder der Inbetriebnahme der Systeme sowie auf das Konzept und das +Auftreten wesentlicher Änderungen erstrecken, die möglicherweise ein neues Konformitätsbewertungsverfahren +erfordern. Alle erheblichen Risiken, die bei der Entwicklung und Erprobung solcher KI-Systeme festgestellt werden, +sollten eine angemessene Risikominderung und, in Ermangelung dessen, die Aussetzung des Entwicklungs- und +Erprobungsprozesses nach sich ziehen. Gegebenenfalls sollten die zuständigen nationalen Behörden, die +KI-Reallabore einrichten, mit anderen einschlägigen Behörden zusammenarbeiten, einschließlich derjenigen, die +den Schutz der Grundrechte überwachen, und könnten die Einbeziehung anderer Akteure innerhalb des +KI-Ökosystems gestatten, wie etwa nationaler oder europäischer Normungsorganisationen, notifizierter Stellen, Test- +und Versuchseinrichtungen, Forschungs- und Versuchslabore, Europäischer Digitaler Innovationszentren und +einschlägiger Interessenträger und Organisationen der Zivilgesellschaft. Im Interesse einer unionsweit einheitlichen +Umsetzung und der Erzielung von Größenvorteilen ist es angezeigt, dass gemeinsame Vorschriften für die +Umsetzung von KI-Reallaboren und ein Rahmen für die Zusammenarbeit zwischen den an der Beaufsichtigung der +Reallabore beteiligten Behörden festgelegt werden. KI-Reallabore, die im Rahmen dieser Verordnung eingerichtet +werden, sollten anderes Recht, das die Einrichtung anderer Reallabore ermöglicht, unberührt lassen, um die +Einhaltung anderen Rechts als dieser Verordnung sicherzustellen. Gegebenenfalls sollten die für diese anderen +Reallabore zuständigen Behörden die Vorteile der Nutzung dieser Reallabore auch zum Zweck der Gewährleistung +der Konformität der KI-Systeme mit dieser Verordnung berücksichtigen. Im Einvernehmen zwischen den +zuständigen nationalen Behörden und den am KI-Reallabor Beteiligten können Tests unter Realbedingungen auch +im Rahmen des KI-Reallabors durchgeführt und beaufsichtigt werden. + + +(140) Die vorliegende Verordnung sollte im Einklang mit Artikel 6 Absatz 4 und Artikel 9 Absatz 2 Buchstabe g der +Verordnung (EU) 2016/679 und den Artikeln 5, 6 und 10 der Verordnung (EU) 2018/1725 sowie unbeschadet des +Artikels 4 Absatz 2 und des Artikels 10 der Richtlinie (EU) 2016/680 die Rechtsgrundlage für die Verwendung — +ausschließlich unter bestimmten Bedingungen — personenbezogener Daten, die für andere Zwecke erhoben wurden, +zur Entwicklung bestimmter KI-Systeme im öffentlichen Interesse innerhalb des KI-Reallabors durch die Anbieter +und zukünftigen Anbieter im KI-Reallabor bilden. Alle anderen Pflichten von Verantwortlichen und Rechte +betroffener Personen im Rahmen der Verordnungen (EU) 2016/679 und (EU) 2018/1725 und der Richtlinie (EU) +2016/680 gelten weiterhin. Insbesondere sollte diese Verordnung keine Rechtsgrundlage im Sinne des Artikels 22 +Absatz 2 Buchstabe b der Verordnung (EU) 2016/679 und des Artikels 24 Absatz 2 Buchstabe b der Verordnung +(EU) 2018/1725 bilden. Anbieter und zukünftige Anbieter im KI-Reallabor sollten angemessene Schutzvor- +kehrungen treffen und mit den zuständigen Behörden zusammenarbeiten, unter anderem indem sie deren Anleitung + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 35/144 + + + +folgen und zügig und nach Treu und Glauben handeln, um etwaige erhebliche Risiken für die Sicherheit, die +Gesundheit und die Grundrechte, die bei der Entwicklung, bei der Erprobung und bei Versuchen in diesem Reallabor +auftreten können, zu mindern. + + +(141) Um den Prozess der Entwicklung und des Inverkehrbringens der in einem Anhang dieser Verordnung aufgeführten +Hochrisiko-KI-Systeme zu beschleunigen, ist es wichtig, dass Anbieter oder zukünftige Anbieter solcher Systeme +auch von einer spezifischen Regelung für das Testen dieser Systeme unter Realbedingungen profitieren können, ohne +sich an einem KI-Reallabor zu beteiligen. In solchen Fällen, unter Berücksichtigung der möglichen Folgen solcher +Tests für Einzelpersonen, sollte jedoch sichergestellt werden, dass mit dieser Verordnung angemessene und +ausreichende Garantien und Bedingungen für Anbieter oder zukünftige Anbieter eingeführt werden. Diese Garantien +sollten unter anderem die Einholung der informierten Einwilligung natürlicher Personen in die Beteiligung an Tests +unter Realbedingungen umfassen, mit Ausnahme der Strafverfolgung, wenn die Einholung der informierten +Einwilligung verhindern würde, dass das KI-System getestet wird. Die Einwilligung der Testteilnehmer zur Teilnahme +an solchen Tests im Rahmen dieser Verordnung unterscheidet sich von der Einwilligung betroffener Personen in die +Verarbeitung ihrer personenbezogenen Daten nach den einschlägigen Datenschutzvorschriften und greift dieser +nicht vor. Ferner ist es wichtig, die Risiken zu minimieren und die Aufsicht durch die zuständigen Behörden zu +ermöglichen und daher von zukünftigen Anbietern zu verlangen, dass sie der zuständigen Marktüberwachungs- +behörde einen Plan für einen Test unter Realbedingungen vorgelegt haben, die Tests — vorbehaltlich einiger +begrenzter Ausnahmen — in den dafür vorgesehenen Abschnitten der EU-Datenbank zu registrieren, den Zeitraum +zu begrenzen, in dem die Tests durchgeführt werden können, und zusätzliche Schutzmaßnahmen für Personen, die +schutzbedürftigen Gruppen angehören, sowie eine schriftliche Einwilligung mit der Festlegung der Aufgaben und +Zuständigkeiten der zukünftigen Anbieter und der Betreiber und eine wirksame Aufsicht durch zuständiges Personal, +das an den Tests unter Realbedingungen beteiligt ist, zu verlangen. Darüber hinaus ist es angezeigt, zusätzliche +Schutzmaßnahmen vorzusehen, um sicherzustellen, dass die Vorhersagen, Empfehlungen oder Entscheidungen des +KI-Systems effektiv rückgängig gemacht und missachtet werden können, und dass personenbezogene Daten +geschützt sind und gelöscht werden, wenn die Testteilnehmer ihre Einwilligung zur Teilnahme an den Tests +widerrufen haben, und zwar unbeschadet ihrer Rechte als betroffene Personen nach dem Datenschutzrecht der +Union. Was die Datenübermittlung betrifft, so ist es angezeigt vorzusehen, dass Daten, die zum Zweck von Tests +unter Realbedingungen erhoben und verarbeitet wurden, nur dann an Drittstaaten übermittelt werden sollten, wenn +angemessene und anwendbare Schutzmaßnahmen nach dem Unionsrecht umgesetzt wurden, insbesondere im +Einklang mit den Grundlagen für die Übermittlung personenbezogener Daten nach dem Datenschutzrecht der +Union, während für nicht personenbezogene Daten angemessene Schutzmaßnahmen im Einklang mit dem +Unionsrecht, z. B. den Verordnungen (EU) 2022/868 (^42 ) und (EU) 2023/2854 (^43 ) des Europäischen Parlaments und +des Rates eingerichtet wurden. + + +(142) Um sicherzustellen, dass KI zu sozial und ökologisch vorteilhaften Ergebnissen führt, werden die Mitgliedstaaten +ermutigt, Forschung und Entwicklung zu KI-Lösungen, die zu sozial und ökologisch vorteilhaften Ergebnissen +beitragen, zu unterstützen und zu fördern, wie KI-gestützte Lösungen für mehr Barrierefreiheit für Personen mit +Behinderungen, zur Bekämpfung sozioökonomischer Ungleichheiten oder zur Erreichung von Umweltzielen, indem +ausreichend Ressourcen — einschließlich öffentlicher Mittel und Unionsmittel — bereitgestellt werden, und — +soweit angebracht und sofern die Voraussetzungen und Zulassungskriterien erfüllt sind — insbesondere unter +Berücksichtigung von Projekten, mit denen diese Ziele verfolgt werden. Diese Projekte sollten auf dem Grundsatz der +interdisziplinären Zusammenarbeit zwischen KI-Entwicklern, Sachverständigen in den Bereichen Gleichstellung und +Nichtdiskriminierung, Barrierefreiheit und Verbraucher-, Umwelt- und digitale Rechte sowie Wissenschaftlern +beruhen. + + +(143) Um Innovationen zu fördern und zu schützen, ist es wichtig, die Interessen von KMU, einschließlich +Start-up-Unternehmen, die Anbieter und Betreiber von KI-Systemen sind, besonders zu berücksichtigen. Zu diesem +Zweck sollten die Mitgliedstaaten Initiativen ergreifen, die sich an diese Akteure richten, darunter auch +Sensibilisierungs- und Informationsmaßnahmen. Die Mitgliedstaaten sollten KMU, einschließlich Start-up-Unter- +nehmen, die ihren Sitz oder eine Zweigniederlassung in der Union haben, vorrangigen Zugang zu den +KI-Reallaboren gewähren, soweit sie die Voraussetzungen und Zulassungskriterien erfüllen und ohne andere +Anbieter und zukünftige Anbieter am Zugang zu den Reallaboren zu hindern, sofern die gleichen Voraussetzungen +und Kriterien erfüllt sind. Die Mitgliedstaaten sollten bestehende Kanäle nutzen und gegebenenfalls neue Kanäle für +die Kommunikation mit KMU, einschließlich Start-up-Unternehmen, Betreibern, anderen Innovatoren und +gegebenenfalls Behörden einrichten, um KMU auf ihrem gesamten Entwicklungsweg zu unterstützen, indem sie +ihnen Orientierungshilfe bieten und Fragen zur Durchführung dieser Verordnung beantworten. Diese Kanäle sollten +gegebenenfalls zusammenarbeiten, um Synergien zu schaffen und eine Homogenität ihrer Leitlinien für KMU, +einschließlich Start-up-Unternehmen, und Betreiber sicherzustellen. Darüber hinaus sollten die Mitgliedstaaten die +Beteiligung von KMU und anderen einschlägigen Interessenträgern an der Entwicklung von Normen fördern. +Außerdem sollten die besonderen Interessen und Bedürfnisse von Anbietern, die KMU, einschließlich + +# DE ABl. L vom 12.7.2024 + +36/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^42 ) Verordnung (EU) 2022/868 des Europäischen Parlaments und des Rates vom 30. Mai 2022 über europäische Daten-Governance +und zur Änderung der Verordnung (EU) 2018/1724 (Daten-Governance-Rechtsakt) (ABl. L 152 vom 3.6.2022, S. 1). +(^43 ) Verordnung (EU) 2023/2854 des Rates und des Europäischen Parlaments vom 13. Dezember 2023 über harmonisierte Vorschriften +für einen fairen Datenzugang und eine faire Datennutzung sowie zur Änderung der Verordnung (EU) 2017/2394 und der Richtlinie +(EU) 2020/1828 (Datenverordnung) (ABl. L, 2023/2854, 22.12.2023, ELI: http://data.europa.eu/eli/reg/2023/2854/oj). + + + +Start-up-Unternehmen, sind, bei der Festlegung der Gebühren für die Konformitätsbewertung durch die notifizierten +Stellen berücksichtigt werden. Die Kommission sollte regelmäßig die Zertifizierungs- und Befolgungskosten für +KMU, einschließlich Start-up-Unternehmen, durch transparente Konsultationen bewerten, und sie sollte mit den +Mitgliedstaaten zusammenarbeiten, um diese Kosten zu senken. So können beispielsweise Übersetzungen im +Zusammenhang mit der verpflichtenden Dokumentation und Kommunikation mit Behörden für Anbieter und +andere Akteure, insbesondere die kleineren unter ihnen, erhebliche Kosten verursachen. Die Mitgliedstaaten sollten +möglichst dafür sorgen, dass eine der Sprachen, die sie für die einschlägige Dokumentation der Anbieter und für die +Kommunikation mit den Akteuren bestimmen und akzeptieren, eine Sprache ist, die von der größtmöglichen Zahl +grenzüberschreitender Betreiber weitgehend verstanden wird. Um den besonderen Bedürfnissen von KMU, +einschließlich Start-up-Unternehmen, gerecht zu werden, sollte die Kommission auf Ersuchen des KI-Gremiums +standardisierte Vorlagen für die unter diese Verordnung fallenden Bereiche bereitstellen. Ferner sollte die Kommission +die Bemühungen der Mitgliedstaaten ergänzen, indem sie eine zentrale Informationsplattform mit leicht nutzbaren +Informationen über diese Verordnung für alle Anbieter und Betreiber bereitstellt, indem sie angemessene +Informationskampagnen durchführt, um für die aus dieser Verordnung erwachsenden Pflichten zu sensibilisieren, +und indem sie die Konvergenz bewährter Praktiken bei Vergabeverfahren im Zusammenhang mit KI-Systemen +bewertet und fördert. Mittlere Unternehmen, die bis vor kurzem als kleine Unternehmen im Sinne des Anhangs der +Empfehlung 2003/361/EG der Kommission (^44 ) galten, sollten Zugang zu diesen Unterstützungsmaßnahmen haben, +da diese neuen mittleren Unternehmen mitunter nicht über die erforderlichen rechtlichen Ressourcen und +Ausbildung verfügen, um ein ordnungsgemäßes Verständnis und eine entsprechende Einhaltung dieser Verordnung +zu gewährleisten. + + +(144) Um Innovationen zu fördern und zu schützen, sollten die Plattform für KI auf Abruf, alle einschlägigen +Finanzierungsprogramme und -projekte der Union, wie etwa das Programm „Digitales Europa“ und Horizont +Europa, die von der Kommission und den Mitgliedstaaten auf Unionsebene bzw. auf nationaler Ebene durchgeführt +werden, zur Verwirklichung der Ziele dieser Verordnung beitragen. + + +(145) Um die Risiken bei der Umsetzung, die sich aus mangelndem Wissen und fehlenden Fachkenntnissen auf dem Markt +ergeben, zu minimieren und den Anbietern, insbesondere KMU, einschließlich Start-up-Unternehmen, und +notifizierten Stellen die Einhaltung ihrer Pflichten aus dieser Verordnung zu erleichtern, sollten insbesondere die +Plattform für KI auf Abruf, die europäischen Zentren für digitale Innovation und die Test- und Versuchsein- +richtungen, die von der Kommission und den Mitgliedstaaten auf Unionsebene bzw. auf nationaler Ebene +eingerichtet werden, zur Durchführung dieser Verordnung beitragen. Die Plattform für KI auf Abruf, die +europäischen Zentren für digitale Innovation und die Test- und Versuchseinrichtungen können Anbieter und +notifizierte Stellen im Rahmen ihres jeweiligen Auftrags und ihrer jeweiligen Kompetenzbereiche insbesondere +technisch und wissenschaftlich unterstützen. + + +(146) Angesichts der sehr geringen Größe einiger Akteure und um die Verhältnismäßigkeit in Bezug auf die +Innovationskosten sicherzustellen, ist es darüber hinaus angezeigt, Kleinstunternehmen zu erlauben, eine der +kostspieligsten Pflichten, nämlich die Einführung eines Qualitätsmanagementsystems, in vereinfachter Weise zu +erfüllen, was den Verwaltungsaufwand und die Kosten für diese Unternehmen verringern würde, ohne das +Schutzniveau und die Notwendigkeit der Einhaltung der Anforderungen für Hochrisiko-KI-Systeme zu beein- +trächtigen. Die Kommission sollte Leitlinien ausarbeiten, um die Elemente des Qualitätsmanagementsystems zu +bestimmen, die von Kleinstunternehmen auf diese vereinfachte Weise zu erfüllen sind. + + +(147) Es ist angezeigt, dass die Kommission den Stellen, Gruppen oder Laboratorien, die gemäß den einschlägigen +Harmonisierungsrechtsvorschriften der Union eingerichtet oder akkreditiert sind und Aufgaben im Zusammenhang +mit der Konformitätsbewertung von Produkten oder Geräten wahrnehmen, die unter diese Harmonisierungsrechts- +vorschriften der Union fallen, so weit wie möglich den Zugang zu Test- und Versuchseinrichtungen erleichtert. Dies +gilt insbesondere für Expertengremien, Fachlaboratorien und Referenzlaboratorien im Bereich Medizinprodukte +gemäß den Verordnungen (EU) 2017/745 und (EU) 2017/746. + + +(148) Mit dieser Verordnung sollte ein Governance-Rahmen geschaffen werden, der sowohl die Koordinierung und +Unterstützung der Anwendung dieser Verordnung auf nationaler Ebene als auch den Aufbau von Kapazitäten auf +Unionsebene und die Integration von Interessenträgern im Bereich der KI ermöglicht. Für die wirksame Umsetzung +und Durchsetzung dieser Verordnung ist ein Governance-Rahmen erforderlich, der es ermöglicht, zentrales +Fachwissen auf Unionsebene zu koordinieren und aufzubauen. Per Kommissionbeschluss (^45 ) wurde das Büro für +Künstliche Intelligenz errichtet, dessen Aufgabe es ist, Fachwissen und Kapazitäten der Union im Bereich der KI zu +entwickeln und zur Umsetzung des Unionsrechts im KI-Bereich beizutragen. Die Mitgliedstaaten sollten die +Aufgaben des Büros für Künstliche Intelligenz erleichtern, um die Entwicklung von Fachwissen und Kapazitäten auf +Unionsebene zu unterstützen und die Funktionsweise des digitalen Binnenmarkts zu stärken. Darüber hinaus sollten +ein aus Vertretern der Mitgliedstaaten zusammengesetztes KI-Gremium, ein wissenschaftliches Gremium zur +Integration der Wissenschaftsgemeinschaft und ein Beratungsforum für Beiträge von Interessenträgern zur + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 37/144 + + +(^44 ) Empfehlung der Kommission vom 6. Mai 2003 betreffend die Definition der Kleinstunternehmen sowie der kleinen und mittleren +Unternehmen (ABl. L 124 vom 20.5.2003, S. 36). +(^45 ) Beschluss C(2024) 390 der Kommission vom 24.1.2024 zur Errichtung des Europäischen Amts für künstliche Intelligenz. + + + +Durchführung dieser Verordnung auf Unionsebene und auf nationaler Ebene eingerichtet werden. Die Entwicklung +von Fachwissen und Kapazitäten der Union sollte auch die Nutzung bestehender Ressourcen und Fachkenntnisse +umfassen, insbesondere durch Synergien mit Strukturen, die im Rahmen der Durchsetzung anderen Rechts auf +Unionsebene aufgebaut wurden, und Synergien mit einschlägigen Initiativen auf Unionsebene, wie dem +Gemeinsamen Unternehmen EuroHPC und den KI-Test- und Versuchseinrichtungen im Rahmen des Programms +„Digitales Europa“. + + +(149) Um eine reibungslose, wirksame und harmonisierte Durchführung dieser Verordnung zu erleichtern, sollte ein +KI-Gremium eingerichtet werden. Das KI-Gremium sollte die verschiedenen Interessen des KI-Ökosystems +widerspiegeln und sich aus Vertretern der Mitgliedstaaten zusammensetzen. Das KI-Gremium sollte für eine Reihe +von Beratungsaufgaben zuständig sein, einschließlich der Abgabe von Stellungnahmen, Empfehlungen, Ratschlägen +oder Beiträgen zu Leitlinien zu Fragen im Zusammenhang mit der Durchführung dieser Verordnung — darunter zu +Durchsetzungsfragen, technischen Spezifikationen oder bestehenden Normen in Bezug auf die in dieser Verordnung +festgelegten Anforderungen — sowie der Beratung der Kommission und der Mitgliedstaaten und ihrer zuständigen +nationalen Behörden in spezifischen Fragen im Zusammenhang mit KI. Um den Mitgliedstaaten eine gewisse +Flexibilität bei der Benennung ihrer Vertreter im KI-Gremium zu geben, können diese Vertreter alle Personen sein, die +öffentlichen Einrichtungen angehören, die über einschlägige Zuständigkeiten und Befugnisse verfügen sollten, um die +Koordinierung auf nationaler Ebene zu erleichtern und zur Erfüllung der Aufgaben des KI-Gremiums beizutragen. +Das KI-Gremium sollte zwei ständige Untergruppen einrichten, um Marktüberwachungsbehörden und +notifizierenden Behörden für die Zusammenarbeit und den Austausch in Fragen, die die Marktüberwachung bzw. +notifizierende Stellen betreffen, eine Plattform zu bieten. Die ständige Untergruppe für Marktüberwachung sollte für +diese Verordnung als Gruppe für die Verwaltungszusammenarbeit (ADCO-Gruppe) im Sinne des Artikels 30 der +Verordnung (EU) 2019/1020 fungieren. Im Einklang mit Artikel 33 der genannten Verordnung sollte die +Kommission die Tätigkeiten der ständigen Untergruppe für Marktüberwachung durch die Durchführung von +Marktbewertungen oder -untersuchungen unterstützen, insbesondere im Hinblick auf die Ermittlung von Aspekten +dieser Verordnung, die eine spezifische und dringende Koordinierung zwischen den Marktüberwachungsbehörden +erfordern. Das KI-Gremium kann weitere ständige oder nichtständige Untergruppen einrichten, falls das für die +Prüfung bestimmter Fragen zweckmäßig sein sollte. Das KI-Gremium sollte gegebenenfalls auch mit einschlägigen +Einrichtungen, Sachverständigengruppen und Netzwerken der Union zusammenarbeiten, die im Zusammenhang +mit dem einschlägigen Unionsrecht tätig sind, einschließlich insbesondere derjenigen, die im Rahmen des +einschlägigen Unionsrechts über Daten, digitale Produkte und Dienstleistungen tätig sind. + + +(150) Im Hinblick auf die Einbeziehung von Interessenträgern in die Umsetzung und Anwendung dieser Verordnung sollte +ein Beratungsforum eingerichtet werden, um das KI-Gremium und die Kommission zu beraten und ihnen +technisches Fachwissen bereitzustellen. Um eine vielfältige und ausgewogene Vertretung der Interessenträger mit +gewerblichen und nicht gewerblichen Interessen und — innerhalb der Kategorie mit gewerblichen Interessen — in +Bezug auf KMU und andere Unternehmen zu gewährleisten, sollten in dem Beratungsforum unter anderem die +Industrie, Start-up-Unternehmen, KMU, die Wissenschaft, die Zivilgesellschaft, einschließlich der Sozialpartner, +sowie die Agentur für Grundrechte, die ENISA, das Europäische Komitee für Normung (CEN), das Europäische +Komitee für elektrotechnische Normung (CENELEC) und das Europäische Institut für Telekommunikationsnormen +(ETSI) vertreten sein. + + +(151) Zur Unterstützung der Umsetzung und Durchsetzung dieser Verordnung, insbesondere der Beobachtungstätigkeiten +des Büros für Künstliche Intelligenz in Bezug auf KI-Modelle mit allgemeinem Verwendungszweck, sollte ein +wissenschaftliches Gremium mit unabhängigen Sachverständigen eingerichtet werden. Die unabhängigen Sach- +verständigen, aus denen sich das wissenschaftliche Gremium zusammensetzt, sollten auf der Grundlage des aktuellen +wissenschaftlichen oder technischen Fachwissens im KI-Bereich ausgewählt werden und ihre Aufgaben unparteiisch, +objektiv und unter Achtung der Vertraulichkeit der bei der Durchführung ihrer Aufgaben und Tätigkeiten erhaltenen +Informationen und Daten ausüben. Um eine Aufstockung der nationalen Kapazitäten, die für die wirksame +Durchsetzung dieser Verordnung erforderlich sind, zu ermöglichen, sollten die Mitgliedstaaten für ihre +Durchsetzungstätigkeiten Unterstützung aus dem Pool von Sachverständigen anfordern können, der das +wissenschaftliche Gremium bildet. + + +(152) Um eine angemessene Durchsetzung in Bezug auf KI-Systeme zu unterstützen und die Kapazitäten der +Mitgliedstaaten zu stärken, sollten Unionsstrukturen zur Unterstützung der Prüfung von KI eingerichtet und den +Mitgliedstaaten zur Verfügung gestellt werden. + + +(153) Den Mitgliedstaaten kommt bei der Anwendung und Durchsetzung dieser Verordnung eine Schlüsselrolle zu. Dazu +sollte jeder Mitgliedstaat mindestens eine notifizierende Behörde und mindestens eine Marktüberwachungsbehörde +als zuständige nationale Behörden benennen, die die Anwendung und Durchführung dieser Verordnung +beaufsichtigen. Die Mitgliedstaaten können beschließen, öffentliche Einrichtungen jeder Art zu benennen, die die +Aufgaben der zuständigen nationalen Behörden im Sinne dieser Verordnung gemäß ihren spezifischen nationalen +organisatorischen Merkmalen und Bedürfnissen wahrnehmen. Um die Effizienz der Organisation aufseiten der +Mitgliedstaaten zu steigern und eine zentrale Anlaufstelle gegenüber der Öffentlichkeit und anderen An- +sprechpartnern auf Ebene der Mitgliedstaaten und der Union einzurichten, sollte jeder Mitgliedstaat eine +Marktüberwachungsbehörde als zentrale Anlaufstelle benennen. + +# DE ABl. L vom 12.7.2024 + +38/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(154) Die zuständigen nationalen Behörden sollten ihre Befugnisse unabhängig, unparteiisch und unvoreingenommen +ausüben, um die Grundsätze der Objektivität ihrer Tätigkeiten und Aufgaben zu wahren und die Anwendung und +Durchführung dieser Verordnung sicherzustellen. Die Mitglieder dieser Behörden sollten sich jeder Handlung +enthalten, die mit ihren Aufgaben unvereinbar wäre, und sie sollten den Vertraulichkeitsvorschriften gemäß dieser +Verordnung unterliegen. + + +(155) Damit Anbieter von Hochrisiko-KI-Systemen die Erfahrungen mit der Verwendung von Hochrisiko-KI-Systemen bei +der Verbesserung ihrer Systeme und im Konzeptions- und Entwicklungsprozess berücksichtigen oder rechtzeitig +etwaige Korrekturmaßnahmen ergreifen können, sollten alle Anbieter über ein System zur Beobachtung nach dem +Inverkehrbringen verfügen. Gegebenenfalls sollte die Beobachtung nach dem Inverkehrbringen eine Analyse der +Interaktion mit anderen KI-Systemen, einschließlich anderer Geräte und Software, umfassen. Die Beobachtung nach +dem Inverkehrbringen sollte nicht für sensible operative Daten von Betreibern, die Strafverfolgungsbehörden sind, +gelten. Dieses System ist auch wichtig, damit den möglichen Risiken, die von KI-Systemen ausgehen, die nach dem +Inverkehrbringen oder der Inbetriebnahme dazulernen, effizienter und zeitnah begegnet werden kann. In diesem +Zusammenhang sollten die Anbieter auch verpflichtet sein, ein System einzurichten, um den zuständigen Behörden +schwerwiegende Vorfälle zu melden, die sich aus der Verwendung ihrer KI-Systeme ergeben; damit sind Vorfälle oder +Fehlfunktionen gemeint, die zum Tod oder zu schweren Gesundheitsschäden führen, schwerwiegende und +irreversible Störungen der Verwaltung und des Betriebs kritischer Infrastrukturen, Verstöße gegen Verpflichtungen +aus dem Unionsrecht, mit denen die Grundrechte geschützt werden sollen, oder schwere Sach- oder Umweltschäden. + + +(156) Zur Gewährleistung einer angemessenen und wirksamen Durchsetzung der Anforderungen und Pflichten gemäß +dieser Verordnung, bei der es sich um eine Harmonisierungsrechtsvorschrift der Union handelt, sollte das mit der +Verordnung (EU) 2019/1020 eingeführte System der Marktüberwachung und der Konformität von Produkten in +vollem Umfang gelten. Die gemäß dieser Verordnung benannten Marktüberwachungsbehörden sollten über alle in +der vorliegenden Verordnung und der Verordnung (EU) 2019/1020 festgelegten Durchsetzungsbefugnisse verfügen +und ihre Befugnisse und Aufgaben unabhängig, unparteiisch und unvoreingenommen wahrnehmen. Obwohl die +meisten KI-Systeme keinen spezifischen Anforderungen und Pflichten gemäß der vorliegenden Verordnung +unterliegen, können die Marktüberwachungsbehörden Maßnahmen in Bezug auf alle KI-Systeme ergreifen, wenn sie +ein Risiko gemäß dieser Verordnung darstellen. Aufgrund des spezifischen Charakters der Organe, Einrichtungen +und sonstigen Stellen der Union, die in den Anwendungsbereich dieser Verordnung fallen, ist es angezeigt, dass der +Europäische Datenschutzbeauftragte als eine zuständige Marktüberwachungsbehörde für sie benannt wird. Die +Benennung zuständiger nationaler Behörden durch die Mitgliedstaaten sollte davon unberührt bleiben. Die +Marktüberwachungstätigkeiten sollten die Fähigkeit der beaufsichtigten Einrichtungen, ihre Aufgaben unabhängig +wahrzunehmen, nicht beeinträchtigen, wenn eine solche Unabhängigkeit nach dem Unionsrecht erforderlich ist. + + +(157) Diese Verordnung berührt nicht die Zuständigkeiten, Aufgaben, Befugnisse und Unabhängigkeit der einschlägigen +nationalen Behörden oder Stellen, die die Anwendung des Unionsrechts zum Schutz der Grundrechte überwachen, +einschließlich Gleichbehandlungsstellen und Datenschutzbehörden. Sofern dies für die Erfüllung ihres Auftrags +erforderlich ist, sollten auch diese nationalen Behörden oder Stellen Zugang zu der gesamten im Rahmen dieser +Verordnung erstellten Dokumentation haben. Es sollte ein spezifisches Schutzklauselverfahren festgelegt werden, um +eine angemessene und zeitnahe Durchsetzung gegenüber KI-Systemen, die ein Risiko für Gesundheit, Sicherheit und +Grundrechte bergen, sicherzustellen. Das Verfahren für solche KI-Systeme, die ein Risiko bergen, sollte auf +Hochrisiko-KI-Systeme, von denen ein Risiko ausgeht, auf verbotene Systeme, die unter Verstoß gegen die in dieser +Verordnung festgelegten verbotenen Praktiken in Verkehr gebracht, in Betrieb genommen oder verwendet wurden, +sowie auf KI-Systeme, die unter Verstoß der Transparenzanforderungen dieser Verordnung bereitgestellt wurden und +ein Risiko bergen, angewandt werden. + + +(158) Die Rechtsvorschriften der Union über Finanzdienstleistungen enthalten Vorschriften und Anforderungen für die +interne Unternehmensführung und das Risikomanagement, die für regulierte Finanzinstitute bei der Erbringung +solcher Dienstleistungen gelten, auch wenn sie KI-Systeme verwenden. Um eine kohärente Anwendung und +Durchsetzung der Pflichten aus dieser Verordnung sowie der einschlägigen Vorschriften und Anforderungen der +Rechtsvorschriften der Union über Finanzdienstleistungen zu gewährleisten, sollten die für die Beaufsichtigung und +Durchsetzung jener Rechtsvorschriften zuständigen Behörden, insbesondere die zuständigen Behörden im Sinne der +Verordnung (EU) Nr. 575/2013 des Europäischen Parlaments und des Rates (^46 ) und der Richtlinien 2008/48/EG (^47 ), +2009/138/EG (^48 ), 2013/36/EU (^49 ), 2014/17/EU (^50 ) und (EU) 2016/97 (^51 ) des Europäischen Parlaments und des + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 39/144 + + +(^46 ) Verordnung (EU) Nr. 575/2013 des Europäischen Parlaments und des Rates vom 26. Juni 2013 über Aufsichtsanforderungen an +Kreditinstitute und Wertpapierfirmen und zur Änderung der Verordnung (EU) Nr. 648/2012 (ABl. L 176 vom 27.6.2013, S. 1). +(^47 ) Richtlinie 2008/48/EG des Europäischen Parlaments und des Rates vom 23. April 2008 über Verbraucherkreditverträge und zur +Aufhebung der Richtlinie 87/102/EWG des Rates (ABl. L 133 vom 22.5.2008, S. 66). +(^48 ) Richtlinie 2009/138/EG des Europäischen Parlaments und des Rates vom 25. November 2009 betreffend die Aufnahme und +Ausübung der Versicherungs- und der Rückversicherungstätigkeit (Solvabilität II) (ABl. L 335 vom 17.12.2009, S. 1). +(^49 ) Richtlinie 2013/36/EU des Europäischen Parlaments und des Rates vom 26. Juni 2013 über den Zugang zur Tätigkeit von +Kreditinstituten und die Beaufsichtigung von Kreditinstituten und Wertpapierfirmen, zur Änderung der Richtlinie 2002/87/EG und +zur Aufhebung der Richtlinien 2006/48/EG und 2006/49/EG (ABl. L 176 vom 27.6.2013, S. 338). +(^50 ) Richtlinie 2014/17/ЕU des Europäischen Parlaments und des Rates vom 4. Februar 2014 über Wohnimmobilienkreditverträge für +Verbraucher und zur Änderung der Richtlinien 2008/48/EG und 2013/36/EU und der Verordnung (EU) Nr. 1093/2010 (ABl. L 60 +vom 28.2.2014, S. 34). +(^51 ) Richtlinie (EU) 2016/97 des Europäischen Parlaments und des Rates vom 20. Januar 2016 über Versicherungsvertrieb (ABl. L 26 +vom 2.2.2016, S. 19). + + + +Rates, im Rahmen ihrer jeweiligen Zuständigkeiten auch als zuständige Behörden für die Beaufsichtigung der +Durchführung dieser Verordnung, einschließlich der Marktüberwachungstätigkeiten, in Bezug auf von regulierten +und beaufsichtigten Finanzinstituten bereitgestellte oder verwendete KI-Systeme benannt werden, es sei denn, die +Mitgliedstaaten beschließen, eine andere Behörde zu benennen, um diese Marktüberwachungsaufgaben wahr- +zunehmen. Diese zuständigen Behörden sollten alle Befugnisse gemäß dieser Verordnung und der Verordnung (EU) +2019/1020 haben, um die Anforderungen und Pflichten der vorliegenden Verordnung durchzusetzen, einschließlich +Befugnisse zur Durchführung von Ex-post-Marktüberwachungstätigkeiten, die gegebenenfalls in ihre bestehenden +Aufsichtsmechanismen und -verfahren im Rahmen des einschlägigen Unionsrechts über Finanzdienstleistungen +integriert werden können. Es ist angezeigt, vorzusehen, dass die nationalen Behörden, die für die Aufsicht über unter +die Richtlinie 2013/36/EU fallende Kreditinstitute zuständig sind, welche an dem mit der Verordnung (EU) +Nr. 1024/2013 des Rates (^52 ) eingerichteten einheitlichen Aufsichtsmechanismus teilnehmen, in ihrer Funktion als +Marktüberwachungsbehörden gemäß der vorliegenden Verordnung der Europäischen Zentralbank unverzüglich alle +im Zuge ihrer Marktüberwachungstätigkeiten ermittelten Informationen übermitteln, die für die in der genannten +Verordnung festgelegten Aufsichtsaufgaben der Europäischen Zentralbank von Belang sein könnten. Um die +Kohärenz zwischen der vorliegenden Verordnung und den Vorschriften für Kreditinstitute, die unter die Richtlinie +2013/36/EU fallen, weiter zu verbessern, ist es ferner angezeigt, einige verfahrenstechnische Anbieterpflichten in +Bezug auf das Risikomanagement, die Beobachtung nach dem Inverkehrbringen und die Dokumentation in die +bestehenden Pflichten und Verfahren gemäß der Richtlinie 2013/36/EU aufzunehmen. Zur Vermeidung von +Überschneidungen sollten auch begrenzte Ausnahmen in Bezug auf das Qualitätsmanagementsystem der Anbieter +und die Beobachtungspflicht der Betreiber von Hochrisiko-KI-Systemen in Betracht gezogen werden, soweit diese +Kreditinstitute betreffen, die unter die Richtlinie 2013/36/EU fallen. Die gleiche Regelung sollte für Versicherungs- +und Rückversicherungsunternehmen und Versicherungsholdinggesellschaften gemäß der Richtlinie 2009/138/EG +und Versicherungsvermittler gemäß der Richtlinie (EU) 2016/97 sowie für andere Arten von Finanzinstituten gelten, +die Anforderungen in Bezug auf ihre Regelungen oder Verfahren der internen Unternehmensführung unterliegen, die +gemäß einschlägigem Unionsrecht der Union über Finanzdienstleistungen festgelegt wurden, um Kohärenz und +Gleichbehandlung im Finanzsektor sicherzustellen. + + +(159) Jede Marktüberwachungsbehörde für Hochrisiko-KI-Systeme im Bereich der Biometrie, die in einem Anhang zu +dieser Verordnung aufgeführt sind, sollte — soweit diese Systeme für die Zwecke der Strafverfolgung, von Migration, +Asyl und Grenzkontrolle oder von Rechtspflege und demokratischen Prozessen eingesetzt werden — über wirksame +Ermittlungs- und Korrekturbefugnisse verfügen, einschließlich mindestens der Befugnis, Zugang zu allen +personenbezogenen Daten, die verarbeitet werden, und zu allen Informationen, die für die Ausübung ihrer +Aufgaben erforderlich sind, zu erhalten. Die Marktüberwachungsbehörden sollten in der Lage sein, ihre Befugnisse in +völliger Unabhängigkeit auszuüben. Jede Beschränkung ihres Zugangs zu sensiblen operativen Daten im Rahmen +dieser Verordnung sollte die Befugnisse unberührt lassen, die ihnen mit der Richtlinie (EU) 2016/680 übertragen +wurden. Kein Ausschluss der Offenlegung von Daten gegenüber nationalen Datenschutzbehörden im Rahmen dieser +Verordnung sollte die derzeitigen oder künftigen Befugnisse dieser Behörden über den Geltungsbereich dieser +Verordnung hinaus beeinträchtigen. + + +(160) Die Marktüberwachungsbehörden und die Kommission sollten gemeinsame Tätigkeiten, einschließlich gemeinsamer +Untersuchungen, vorschlagen können, die von den Marktüberwachungsbehörden oder von den Marktüber- +wachungsbehörden gemeinsam mit der Kommission durchgeführt werden, um Konformität zu fördern, +Nichtkonformität festzustellen, zu sensibilisieren und Orientierung zu dieser Verordnung und bestimmten +Kategorien von Hochrisiko-KI-Systemen bereitzustellen, bei denen festgestellt wird, dass sie in zwei oder mehr +Mitgliedstaaten ein ernstes Risiko darstellen. Gemeinsame Tätigkeiten zur Förderung der Konformität sollten im +Einklang mit Artikel 9 der Verordnung (EU) 2019/1020 durchgeführt werden. Das Büro für Künstliche Intelligenz +sollte die Koordinierung gemeinsamer Untersuchungen unterstützen. + + +(161) Die Verantwortlichkeiten und Zuständigkeiten auf Unionsebene und nationaler Ebene in Bezug auf KI-Systeme, die +auf KI-Modellen mit allgemeinem Verwendungszweck aufbauen, müssen präzisiert werden. Um sich über- +schneidende Zuständigkeiten zu vermeiden, sollte die Aufsicht für KI-Systeme, die auf KI-Modellen mit allgemeinem +Verwendungszweck beruhen und bei denen das Modell und das System vom selben Anbieter bereitgestellt werden, + +# DE ABl. L vom 12.7.2024 + +40/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^52 ) Verordnung (EU) Nr. 1024/2013 des Rates vom 15. Oktober 2013 zur Übertragung besonderer Aufgaben im Zusammenhang mit +der Aufsicht über Kreditinstitute auf die Europäische Zentralbank (ABl. L 287 vom 29.10.2013, S. 63). + + + +auf der Unionsebene durch das Büro für Künstliche Intelligenz erfolgen, das für diesen Zweck über die Befugnisse +einer Marktüberwachungsbehörde im Sinne der Verordnung (EU) 2019/1020 verfügen sollte. In allen anderen Fällen +sollten die nationalen Marktüberwachungsbehörden weiterhin für die Aufsicht über KI-Systeme zuständig sein. Bei +KI-Systemen mit allgemeinem Verwendungszweck, die von Betreibern direkt für mindestens einen Zweck verwendet +werden können, der als hochriskant eingestuft wird, sollten die Marktüberwachungsbehörden jedoch mit dem Büro +für Künstliche Intelligenz zusammenarbeiten, um Konformitätsbewertungen durchzuführen, und sie sollten +KI-Gremium und andere Marktüberwachungsbehörden entsprechend informieren. Darüber hinaus sollten Markt- +überwachungsbehörden das Büro für Künstliche Intelligenz um Unterstützung ersuchen können, wenn die +Marktüberwachungsbehörde nicht in der Lage ist, eine Untersuchung zu einem Hochrisiko-KI-System abzuschließen, +weil sie keinen Zugang zu bestimmten Informationen im Zusammenhang mit dem KI-Modell mit allgemeinem +Verwendungszweck, auf dem das Hochrisiko-KI-System beruht, haben. In diesen Fällen sollte das Verfahren +bezüglich grenzübergreifender Amtshilfe nach Kapitel VI der Verordnung (EU) 2019/1020 entsprechend +Anwendung finden. + + +(162) Um das zentralisierte Fachwissen der Union und Synergien auf Unionsebene bestmöglich zu nutzen, sollte die +Kommission für die Aufsicht und die Durchsetzung der Pflichten der Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck zuständig sein. Das Büro für Künstliche Intelligenz sollte alle erforderlichen Maßnahmen +durchführen können, um die wirksame Umsetzung dieser Verordnung im Hinblick auf KI-Modelle mit allgemeinem +Verwendungszweck zu überwachen. Es sollte mögliche Verstöße gegen die Vorschriften für Anbieter von +KI-Modellen mit allgemeinem Verwendungszweck sowohl auf eigene Initiative, auf der Grundlage der Ergebnisse +seiner Überwachungstätigkeiten, als auch auf Anfrage von Marktüberwachungsbehörden gemäß den in dieser +Verordnung festgelegten Bedingungen untersuchen können. Zur Unterstützung einer wirksamen Überwachung +durch das Büro für Künstliche Intelligenz sollte die Möglichkeit vorgesehen werden, dass nachgelagerte Anbieter +Beschwerden über mögliche Verstöße gegen die Vorschriften für Anbieter von KI-Modellen und -Systemen mit +allgemeinem Verwendungszweck einreichen können. + + +(163) Um die Governance-Systeme für KI-Modelle mit allgemeinem Verwendungszweck zu ergänzen, sollte das +wissenschaftliche Gremium die Überwachungstätigkeiten des Büros für Künstliche Intelligenz unterstützen; dazu +kann es in bestimmten Fällen qualifizierte Warnungen an das Büro für Künstliche Intelligenz richten, die +Folgemaßnahmen wie etwa Untersuchungen auslösen. Dies sollte der Fall sein, wenn das wissenschaftliche Gremium +Grund zu der Annahme hat, dass ein KI-Modell mit allgemeinem Verwendungszweck ein konkretes und +identifizierbares Risiko auf Unionsebene darstellt. Außerdem sollte dies der Fall sein, wenn das wissenschaftliche +Gremium Grund zu der Annahme hat, dass ein KI-Modell mit allgemeinem Verwendungszweck die Kriterien erfüllt, +die zu einer Einstufung als KI-Modell mit allgemeinem Verwendungszweck mit systemischem Risiko führen würde. +Um dem wissenschaftlichen Gremium die Informationen zur Verfügung zu stellen, die für die Ausübung dieser +Aufgaben erforderlich sind, sollte es einen Mechanismus geben, wonach das wissenschaftliche Gremium die +Kommission ersuchen kann, Unterlagen oder Informationen von einem Anbieter anzufordern. + + +(164) Das Büro für Künstliche Intelligenz sollte die erforderlichen Maßnahmen ergreifen können, um die wirksame +Umsetzung und die Einhaltung der in dieser Verordnung festgelegten Pflichten der Anbieter von KI-Modellen mit +allgemeinem Verwendungszweck zu überwachen. Das Büro für Künstliche Intelligenz sollte mögliche Verstöße im +Einklang mit den in dieser Verordnung vorgesehenen Befugnissen untersuchen können, unter anderem indem es +Unterlagen und Informationen anfordert, Bewertungen durchführt und Maßnahmen von Anbietern von KI-Modellen +mit allgemeinem Verwendungszweck verlangt. Was die Durchführung von Bewertungen betrifft, so sollte das Büro +für Künstliche Intelligenz unabhängige Sachverständige mit der Durchführung der Bewertungen in seinem Namen +beauftragen können, damit unabhängiges Fachwissen genutzt werden kann. Die Einhaltung der Pflichten sollte +durchsetzbar sein, unter anderem durch die Aufforderung zum Ergreifen angemessener Maßnahmen, einschließlich +Risikominderungsmaßnahmen im Fall von festgestellten systemischen Risiken, sowie durch die Einschränkung der +Bereitstellung des Modells auf dem Markt, die Rücknahme des Modells oder den Rückruf des Modells. Als +Schutzmaßnahme, die erforderlichenfalls über die in dieser Verordnung vorgesehenen Verfahrensrechte hinausgeht, +sollten die Anbieter von KI-Modellen mit allgemeinem Verwendungszweck über die in Artikel 18 der Verordnung +(EU) 2019/1020 vorgesehenen Verfahrensrechte verfügen, die — unbeschadet in der vorliegenden Verordnung +vorgesehener spezifischerer Verfahrensrechte — entsprechend gelten sollten. + + +(165) Die Entwicklung anderer KI-Systeme als Hochrisiko-KI-Systeme gemäß den Anforderungen dieser Verordnung kann +zu einer stärkeren Verbreitung ethischer und vertrauenswürdiger KI in der Union führen. Anbieter von KI-Systemen, +die kein hohes Risiko bergen, sollten angehalten werden, Verhaltenskodizes — einschließlich zugehöriger +Governance-Mechanismen — zu erstellen, um eine freiwillige Anwendung einiger oder aller der für Hochrisiko- +KI-Systeme geltenden Anforderungen zu fördern, die angesichts der Zweckbestimmung der Systeme und des +niedrigeren Risikos angepasst werden, und unter Berücksichtigung der verfügbaren technischen Lösungen und +bewährten Verfahren der Branche wie Modell- und Datenkarten. Darüber hinaus sollten die Anbieter und +gegebenenfalls die Betreiber aller KI-Systeme, ob mit hohem Risiko oder nicht, und aller KI-Modelle auch ermutigt +werden, freiwillig zusätzliche Anforderungen anzuwenden, z. B. in Bezug auf die Elemente der Ethikleitlinien der + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 41/144 + + + +Union für vertrauenswürdige KI, die ökologische Nachhaltigkeit, Maßnahmen für KI-Kompetenz, die inklusive und +vielfältige Gestaltung und Entwicklung von KI-Systemen, unter anderem mit Schwerpunkt auf schutzbedürftige +Personen und die Barrierefreiheit für Menschen mit Behinderungen, die Beteiligung der Interessenträger, +gegebenenfalls mit Einbindung einschlägiger Interessenträger wie Unternehmensverbänden und Organisationen +der Zivilgesellschaft, Wissenschaft, Forschungsorganisationen, Gewerkschaften und Verbraucherschutzorganisa- +tionen an der Konzeption und Entwicklung von KI-Systemen und die Vielfalt der Entwicklungsteams, einschließlich +einer ausgewogenen Vertretung der Geschlechter. Um sicherzustellen, dass die freiwilligen Verhaltenskodizes +wirksam sind, sollten sie auf klaren Zielen und zentralen Leistungsindikatoren zur Messung der Verwirklichung +dieser Ziele beruhen. Sie sollten außerdem in inklusiver Weise entwickelt werden, gegebenenfalls unter Einbeziehung +einschlägiger Interessenträger wie Unternehmensverbände und Organisationen der Zivilgesellschaft, Wissenschaft, +Forschungsorganisationen, Gewerkschaften und Verbraucherschutzorganisationen. Die Kommission kann Initia- +tiven, auch sektoraler Art, ergreifen, um den Abbau technischer Hindernisse zu erleichtern, die den +grenzüberschreitenden Datenaustausch im Zusammenhang mit der KI-Entwicklung behindern, unter anderem in +Bezug auf die Infrastruktur für den Datenzugang und die semantische und technische Interoperabilität verschiedener +Arten von Daten. + + +(166) Es ist wichtig, dass KI-Systeme im Zusammenhang mit Produkten, die gemäß dieser Verordnung kein hohes Risiko +bergen und daher nicht die in dieser Verordnung festgelegten Anforderungen für Hochrisiko-KI-Systeme erfüllen +müssen, dennoch sicher sind, wenn sie in Verkehr gebracht oder in Betrieb genommen werden. Um zu diesem Ziel +beizutragen, würde die Verordnung (EU) 2023/988 des Europäischen Parlaments und des Rates (^53 ) als +Sicherheitsnetz dienen. + + +(167) Zur Gewährleistung einer vertrauensvollen und konstruktiven Zusammenarbeit der zuständigen Behörden auf Ebene +der Union und der Mitgliedstaaten sollten alle an der Anwendung dieser Verordnung beteiligten Parteien gemäß dem +Unionsrecht und dem nationalen Recht die Vertraulichkeit der im Rahmen der Wahrnehmung ihrer Aufgaben +erlangten Informationen und Daten wahren. Sie sollten ihre Aufgaben und Tätigkeiten so ausüben, dass insbesondere +die Rechte des geistigen Eigentums, vertrauliche Geschäftsinformationen und Geschäftsgeheimnisse, die wirksame +Durchführung dieser Verordnung, die öffentlichen und nationalen Sicherheitsinteressen, die Integrität von Straf- und +Verwaltungsverfahren und die Integrität von Verschlusssachen geschützt werden. + + +(168) Die Einhaltung dieser Verordnung sollte durch die Verhängung von Sanktionen und anderen Durchsetzungs- +maßnahmen durchsetzbar sein. Die Mitgliedstaaten sollten alle erforderlichen Maßnahmen ergreifen, um +sicherzustellen, dass die Bestimmungen dieser Verordnung durchgeführt werden, und dazu unter anderem +wirksame, verhältnismäßige und abschreckende Sanktionen für Verstöße festlegen und das Verbot der Doppelbe- +strafung befolgen. Um die verwaltungsrechtlichen Sanktionen für Verstöße gegen diese Verordnung zu verschärfen +und zu harmonisieren, sollten Obergrenzen für die Festsetzung der Geldbußen bei bestimmten Verstößen festgelegt +werden. Bei der Bemessung der Höhe der Geldbußen sollten die Mitgliedstaaten in jedem Einzelfall alle relevanten +Umstände der jeweiligen Situation berücksichtigen, insbesondere die Art, die Schwere und die Dauer des Verstoßes +und seiner Folgen sowie die Größe des Anbieters, vor allem wenn es sich bei diesem um ein KMU — einschließlich +eines Start-up-Unternehmens — handelt. Der Europäische Datenschutzbeauftragte sollte befugt sein, gegen Organe, +Einrichtungen und sonstige Stellen der Union, die in den Anwendungsbereich dieser Verordnung fallen, Geldbußen +zu verhängen. + + +(169) Die Einhaltung der mit dieser Verordnung auferlegten Pflichten für Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck sollte unter anderem durch Geldbußen durchgesetzt werden können. Zu diesem Zweck sollten +Geldbußen in angemessener Höhe für Verstöße gegen diese Pflichten, einschließlich der Nichteinhaltung der von der +Kommission gemäß dieser Verordnung verlangten Maßnahmen, festgesetzt werden, vorbehaltlich angemessener +Verjährungsfristen im Einklang mit dem Grundsatz der Verhältnismäßigkeit. Alle Beschlüsse, die die Kommission auf +der Grundlage dieser Verordnung fasst, unterliegen der Überprüfung durch den Gerichtshof der Europäischen Union +im Einklang mit dem AEUV, einschließlich der Befugnis des Gerichtshofs zu unbeschränkter Ermessensnachprüfung +hinsichtlich Zwangsmaßnahmen im Einklang mit Artikel 261 AEUV. + + +(170) Im Unionsrecht und im nationalen Recht sind bereits wirksame Rechtsbehelfe für natürliche und juristische Personen +vorgesehen, deren Rechte und Freiheiten durch die Nutzung von KI-Systemen beeinträchtigt werden. Unbeschadet +dieser Rechtsbehelfe sollte jede natürliche oder juristische Person, die Grund zu der Annahme hat, dass gegen diese +Verordnung verstoßen wurde, befugt sein, bei der betreffenden Marktüberwachungsbehörde eine Beschwerde +einzureichen. + + +(171) Betroffene Personen sollten das Recht haben, eine Erklärung zu erhalten, wenn eine Entscheidung eines Betreibers +überwiegend auf den Ausgaben bestimmter Hochrisiko-KI-systeme beruht, die in den Geltungsbereich dieser +Verordnung fallen, und wenn diese Entscheidung Rechtswirkungen entfaltet oder diese Personen in ähnlicher Weise + +# DE ABl. L vom 12.7.2024 + +42/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^53 ) Verordnung (EU) 2023/988 des Europäischen Parlaments und des Rates vom 10. Mai 2023 über die allgemeine Produktsicherheit, +zur Änderung der Verordnung (EU) Nr. 1025/2012 des Europäischen Parlaments und des Rates und der Richtlinie (EU) 2020/1828 +des Europäischen Parlaments und des Rates sowie zur Aufhebung der Richtlinie 2001/95/EG des Europäischen Parlaments und des +Rates und der Richtlinie 87/357/EWG des Rates (ABl. L 135 vom 23.5.2023, S. 1). + + + +wesentlich beeinträchtigt, und zwar so, dass sie ihrer Ansicht nach negative Auswirkungen auf ihre Gesundheit, ihre +Sicherheit oder ihre Grundrechte hat. Diese Erklärung sollte klar und aussagekräftig sein, und sie sollte eine +Grundlage bieten, auf der die betroffenen Personen ihre Rechte ausüben können. Das Recht auf eine Erklärung sollte +nicht für die Nutzung von KI-Systemen gelten, für die sich aus dem Unionsrecht oder dem nationalen Recht +Ausnahmen oder Beschränkungen ergeben, und es sollte nur insoweit gelten, als es nicht bereits in anderem +Unionsrecht vorgesehen ist. + + +(172) Personen, die als Hinweisgeber in Bezug auf die in dieser Verordnung genannten Verstöße auftreten, sollten durch +das Unionsrecht geschützt werden. Für die Meldung von Verstößen gegen diese Verordnung und den Schutz von +Personen, die solche Verstöße melden, sollte daher die Richtlinie (EU) 2019/1937 des Europäischen Parlaments und +des Rates (^54 ) gelten. + + +(173) Damit der Regelungsrahmen erforderlichenfalls angepasst werden kann, sollte der Kommission die Befugnis +übertragen werden, gemäß Artikel 290 AEUV Rechtsakte zur Änderung der Bedingungen, unter denen ein KI-System +nicht als Hochrisiko-System einzustufen ist, der Liste der Hochrisiko-KI-Systeme, der Bestimmungen über die +technische Dokumentation, des Inhalts der EU-Konformitätserklärung, der Bestimmungen über die Konformitäts- +bewertungsverfahren, der Bestimmungen zur Festlegung der Hochrisiko-KI-Systeme, für die das Konformitäts- +bewertungsverfahren auf der Grundlage der Bewertung des Qualitätsmanagementsystems und der technischen +Dokumentation gelten sollte, der Schwellenwerte, Benchmarks und Indikatoren — auch durch Ergänzung dieser +Benchmarks und Indikatoren — in den Vorschriften für die Einstufung von KI-Modellen mit allgemeinem +Verwendungszweck mit systemischem Risiko, der Kriterien für die Benennung von KI-Modellen mit allgemeinem +Verwendungszweck mit systemischem Risiko, der technischen Dokumentation für Anbieter von KI-Modellen mit +allgemeinem Verwendungszweck und der Transparenzinformationen für Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck zu erlassen. Es ist von besonderer Bedeutung, dass die Kommission im Zuge ihrer +Vorbereitungsarbeit angemessene Konsultationen, auch auf der Ebene von Sachverständigen, durchführt, die mit +den Grundsätzen in Einklang stehen, die in der Interinstitutionellen Vereinbarung vom 13. April 2016 über bessere +Rechtsetzung (^55 ) niedergelegt wurden. Um insbesondere für eine gleichberechtigte Beteiligung an der Vorbereitung +delegierter Rechtsakte zu sorgen, erhalten das Europäische Parlament und der Rat alle Dokumente zur gleichen Zeit +wie die Sachverständigen der Mitgliedstaaten, und ihre Sachverständigen haben systematisch Zugang zu den +Sitzungen der Sachverständigengruppen der Kommission, die mit der Vorbereitung der delegierten Rechtsakte +befasst sind. + + +(174) Angesichts der raschen technologischen Entwicklungen und des für die wirksame Anwendung dieser Verordnung +erforderlichen technischen Fachwissens sollte die Kommission diese Verordnung bis zum 2. August 2029 und +danach alle vier Jahre bewerten und überprüfen und dem Europäischen Parlament und dem Rat darüber Bericht +erstatten. Darüber hinaus sollte die Kommission — unter Berücksichtigung der Auswirkungen auf den +Geltungsbereich dieser Verordnung — einmal jährlich beurteilen, ob es notwendig ist, die Liste der Hochrisiko- +KI-Systeme und die Liste der verbotenen Praktiken zu ändern. Außerdem sollte die Kommission bis zum 2. August +2028 und danach alle vier Jahre die Notwendigkeit einer Änderung der Liste der Hochrisikobereiche im Anhang +dieser Verordnung, die KI-Systeme im Geltungsbereich der Transparenzpflichten, die Wirksamkeit des Aufsichts- und +Governance-Systems und die Fortschritte bei der Entwicklung von Normungsdokumenten zur energieeffizienten +Entwicklung von KI-Modellen mit allgemeinem Verwendungszweck, einschließlich der Notwendigkeit weiterer +Maßnahmen oder Handlungen, bewerten und dem Europäischen Parlament und dem Rat darüber Bericht erstatten. +Schließlich sollte die Kommission bis zum 2. August 2028 und danach alle drei Jahre eine Bewertung der Folgen und +der Wirksamkeit der freiwilligen Verhaltenskodizes durchführen, mit denen die Anwendung der für Hochrisiko- +KI-Systeme vorgesehenen Anforderungen bei anderen KI-Systemen als Hochrisiko-KI-Systemen und möglicherweise +auch zusätzlicher Anforderungen an solche KI-Systeme gefördert werden soll. + + +(175) Zur Gewährleistung einheitlicher Bedingungen für die Durchführung dieser Verordnung sollten der Kommission +Durchführungsbefugnisse übertragen werden. Diese Befugnisse sollten gemäß der Verordnung (EU) Nr. 182/2011 +des Europäischen Parlaments und des Rates (^56 ) ausgeübt werden. + + +(176) Da das Ziel dieser Verordnung, nämlich die Verbesserung der Funktionsweise des Binnenmarkts und die Förderung +der Einführung einer auf den Menschen ausgerichteten und vertrauenswürdigen KI bei gleichzeitiger Gewährleistung +eines hohen Maßes an Schutz der Gesundheit, der Sicherheit, der in der Charta verankerten Grundrechte, +einschließlich Demokratie, Rechtsstaatlichkeit und Schutz der Umwelt vor schädlichen Auswirkungen von +KI-Systemen in der Union, und der Förderung von Innovation, von den Mitgliedstaaten nicht ausreichend +verwirklicht werden kann, sondern vielmehr wegen des Umfangs oder der Wirkungen der Maßnahme auf + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 43/144 + + +(^54 ) Richtlinie (EU) 2019/1937 des Europäischen Parlaments und des Rates vom 23. Oktober 2019 zum Schutz von Personen, die +Verstöße gegen das Unionsrecht melden (ABl. L 305 vom 26.11.2019, S. 17). +(^55 ) ABl. L 123 vom 12.5.2016, S. 1. +(^56 ) Verordnung (EU) Nr. 182/2011 des Europäischen Parlaments und des Rates vom 16. Februar 2011 zur Festlegung der allgemeinen +Regeln und Grundsätze, nach denen die Mitgliedstaaten die Wahrnehmung der Durchführungsbefugnisse durch die Kommission +kontrollieren (ABl. L 55 vom 28.2.2011, S. 13). + + +Unionsebene besser zu verwirklichen ist, kann die Union im Einklang mit dem in Artikel 5 EUV verankerten +Subsidiaritätsprinzip tätig werden. Entsprechend dem in demselben Artikel genannten Grundsatz der Verhält- +nismäßigkeit geht diese Verordnung nicht über das für die Verwirklichung dieses Ziels erforderliche Maß hinaus. + + +(177) Um Rechtssicherheit zu gewährleisten, einen angemessenen Anpassungszeitraum für die Akteure sicherzustellen und +Marktstörungen zu vermeiden, unter anderem durch Gewährleistung der Kontinuität der Verwendung von +KI-Systemen, ist es angezeigt, dass diese Verordnung nur dann für die Hochrisiko-KI-Systeme, die vor dem +allgemeinen Anwendungsbeginn dieser Verordnung in Verkehr gebracht oder in Betrieb genommen wurden, gilt, +wenn diese Systeme ab diesem Datum erheblichen Veränderungen in Bezug auf ihre Konzeption oder +Zweckbestimmung unterliegen. Es ist angezeigt, klarzustellen, dass der Begriff der erheblichen Veränderung in +diesem Hinblick als gleichwertig mit dem Begriff der wesentlichen Änderung verstanden werden sollte, der nur in +Bezug auf Hochrisiko-KI-Systeme im Sinne dieser Verordnung verwendet wird. Ausnahmsweise und im Lichte der +öffentlichen Rechenschaftspflicht sollten Betreiber von KI-Systemen, die Komponenten der in einem Anhang zu +dieser Verordnung aufgeführten durch Rechtsakte eingerichteten IT-Großsysteme sind, und Betreiber von +Hochrisiko-KI-Systemen, die von Behörden genutzt werden sollen, die erforderlichen Schritte unternehmen, um +den Anforderungen dieser Verordnung bis Ende 2030 bzw. bis zum 2. August 2030 nachzukommen. + + +(178) Die Anbieter von Hochrisiko-KI-Systemen werden ermutigt, auf freiwilliger Basis bereits während der Übergangs- +phase mit der Einhaltung der einschlägigen Pflichten aus dieser Verordnung zu beginnen. + + +(179) Diese Verordnung sollte ab dem 2. August 2026 gelten. Angesichts des unannehmbaren Risikos, das mit der +Nutzung von KI auf bestimmte Weise verbunden ist, sollten die Verbote sowie die allgemeinen Bestimmungen dieser +Verordnung jedoch bereits ab dem 2. Februar 2025 gelten. Während die volle Wirkung dieser Verbote erst mit der +Festlegung der Leitung und der Durchsetzung dieser Verordnung entsteht, ist die Vorwegnahme der Anwendung der +Verbote wichtig, um unannehmbaren Risiken Rechnung zu tragen und Wirkung auf andere Verfahren, etwa im +Zivilrecht, zu entfalten. Darüber hinaus sollte die Infrastruktur für die Leitung und das Konformitätsbewertungs- +system vor dem 2. August 2026 einsatzbereit sein, weshalb die Bestimmungen über notifizierte Stellen und die +Leitungsstruktur ab dem 2. August 2025 gelten sollten. Angesichts des raschen technologischen Fortschritts und der +Einführung von KI-Modellen mit allgemeinem Verwendungszweck sollten die Pflichten der Anbieter von +KI-Modellen mit allgemeinem Verwendungszweck ab dem 2. August 2025 gelten. Die Verhaltenskodizes sollten bis +zum 2. Mai 2025 vorliegen, damit die Anbieter die Einhaltung fristgerecht nachweisen können. Das Büro für +Künstliche Intelligenz sollte sicherstellen, dass die Vorschriften und Verfahren für die Einstufung jeweils dem Stand +der technologischen Entwicklung entsprechen. Darüber hinaus sollten die Mitgliedstaaten die Vorschriften über +Sanktionen, einschließlich Geldbußen, festlegen und der Kommission mitteilen sowie dafür sorgen, dass diese bis +zum Geltungsbeginn dieser Verordnung ordnungsgemäß und wirksam umgesetzt werden. Daher sollten die +Bestimmungen über Sanktionen ab dem 2. August 2025 gelten. + + +(180) Der Europäische Datenschutzbeauftragte und der Europäische Datenschutzausschuss wurden gemäß Artikel 42 +Absätze 1 und 2 der Verordnung (EU) 2018/1725 angehört und haben am 18. Juni 2021 ihre gemeinsame +Stellungnahme abgegeben — diff --git a/addons/godot_llama/demo/documents/10.md b/addons/godot_llama/demo/documents/10.md new file mode 100644 index 0000000..d8ccd3f --- /dev/null +++ b/addons/godot_llama/demo/documents/10.md @@ -0,0 +1,1017 @@ +KAPITEL IX +BEOBACHTUNG NACH DEM INVERKEHRBRINGEN, INFORMATIONSAUSTAUSCH UND MARKTÜBERWACHUNG + + +ABSCHNITT 1 +Beobachtung nach dem Inverkehrbringen + + +Artikel 72 + + +Beobachtung nach dem Inverkehrbringen durch die Anbieter und Plan für die Beobachtung nach dem +Inverkehrbringen für Hochrisiko-KI-Systeme + + +(1) Anbieter müssen ein System zur Beobachtung nach dem Inverkehrbringen, das im Verhältnis zur Art der KI-Technik +und zu den Risiken des Hochrisiko-KI-Systems steht, einrichten und dokumentieren. + + +(2) Mit dem System zur Beobachtung nach dem Inverkehrbringen müssen sich die einschlägigen Daten zur Leistung der +Hochrisiko-KI-Systeme, die von den Anbietern oder den Betreibern bereitgestellt oder aus anderen Quellen erhoben werden +können, über ihre gesamte Lebensdauer hinweg aktiv und systematisch erheben, dokumentieren und analysieren lassen, und +der Anbieter muss damit die fortdauernde Einhaltung der in Kapitel III Abschnitt 2 genannten Anforderungen an die +KI-Systeme bewerten können. Gegebenenfalls umfasst die Beobachtung nach dem Inverkehrbringen eine Analyse der +Interaktion mit anderen KI-Systemen. Diese Pflicht gilt nicht für sensible operative Daten von Betreibern, die +Strafverfolgungsbehörden sind. + + +(3) Das System zur Beobachtung nach dem Inverkehrbringen muss auf einem Plan für die Beobachtung nach dem +Inverkehrbringen beruhen. Der Plan für die Beobachtung nach dem Inverkehrbringen ist Teil der in Anhang IV genannten +technischen Dokumentation. Die Kommission erlässt einen Durchführungsrechtsakt, in dem sie detaillierte Bestimmungen +für die Erstellung eines Musters des Plans für die Beobachtung nach dem Inverkehrbringen sowie die Liste der in den Plan +aufzunehmenden Elemente bis zum 2. Februar 2026 detailliert festlegt. Dieser Durchführungsrechtsakt wird gemäß dem in +Artikel 98 Absatz 2 genannten Prüfverfahren erlassen. + + +(4) Bei Hochrisiko-KI-Systemen, die unter die in Anhang I Abschnitt A aufgeführten Harmonisierungsrechtsvorschriften +der Union fallen, und für die auf der Grundlage dieser Rechtvorschriften bereits ein System zur Beobachtung nach dem +Inverkehrbringen sowie ein entsprechender Plan festgelegt wurden, haben die Anbieter zur Gewährleistung der Kohärenz, +zur Vermeidung von Doppelarbeit und zur Minimierung zusätzlicher Belastungen die Möglichkeit, unter Verwendung des +Musters nach Absatz 3, gegebenenfalls die in den Absätzen 1, 2 und 3 genannten erforderlichen Elemente in die im Rahmen +dieser Vorschriften bereits vorhandenen Systeme und Pläne zu integrieren, sofern ein gleichwertiges Schutzniveau erreicht +wird. + + +Unterabsatz 1 dieses Absatzes gilt auch für in Anhang III Nummer 5 genannte Hochrisiko-KI-Systeme, die von +Finanzinstituten in Verkehr gebracht oder in Betrieb genommen wurden, die bezüglich ihrer internen Unternehmens- +führung, Regelungen oder Verfahren Anforderungen gemäß den Rechtsvorschriften der Union über Finanzdienstleistungen +unterliegen. + + +ABSCHNITT 2 + + +Austausch von Informationen über schwerwiegende Vorfälle + + +Artikel 73 + + +Meldung schwerwiegender Vorfälle + + +(1) Anbieter von in der Union in Verkehr gebrachten Hochrisiko-KI-Systemen melden schwerwiegende Vorfälle den +Marktüberwachungsbehörden der Mitgliedstaaten, in denen der Vorfall stattgefunden hat. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 101/ + + + +(2) Die Meldung nach Absatz 1 erfolgt unmittelbar, nachdem der Anbieter den kausalen Zusammenhang zwischen dem +KI-System und dem schwerwiegenden Vorfall oder die naheliegende Wahrscheinlichkeit eines solchen Zusammenhangs +festgestellt hat und in jedem Fall spätestens 15 Tage, nachdem der Anbieter oder gegebenenfalls der Betreiber Kenntnis von +diesem schwerwiegenden Vorfall erlangt hat. + + +Bezüglich des in Unterabsatz 1 genannten Meldezeitraums wird der Schwere des schwerwiegenden Vorfalls Rechnung +getragen. + + +(3) Ungeachtet des Absatzes 2 dieses Artikels erfolgt die in Absatz 1 dieses Artikels genannte Meldung im Falle eines +weitverbreiteten Verstoßes oder eines schwerwiegenden Vorfalls im Sinne des Artikels 3 Nummer 49 Buchstabe b +unverzüglich, spätestens jedoch zwei Tage nachdem der Anbieter oder gegebenenfalls der Betreiber von diesem Vorfall +Kenntnis erlangt hat. + + +(4) Ungeachtet des Absatzes 2 erfolgt die Meldung im Falle des Todes einer Person unverzüglich nachdem der Anbieter +oder der Betreiber einen kausalen Zusammenhang zwischen dem Hochrisiko-KI-System und dem schwerwiegenden Vorfall +festgestellt hat, oder einen solchen vermutet, spätestens jedoch zehn Tage nach dem Datum, an dem der Anbieter oder +gegebenenfalls der Betreiber von dem schwerwiegenden Vorfall Kenntnis erlangt hat. + + +(5) Wenn es zur Gewährleistung der rechtzeitigen Meldung erforderlich ist, kann der Anbieter oder gegebenenfalls der +Betreiber einen unvollständigen Erstbericht vorlegen, dem ein vollständiger Bericht folgt. + + +(6) Im Anschluss an die Meldung eines schwerwiegenden Vorfalls gemäß Absatz 1 führt der Anbieter unverzüglich die +erforderlichen Untersuchungen im Zusammenhang mit dem schwerwiegenden Vorfall und dem betroffenen KI-System +durch. Dies umfasst eine Risikobewertung des Vorfalls sowie Korrekturmaßnahmen. + + +Der Anbieter arbeitet bei den Untersuchungen gemäß Unterabsatz 1 mit den zuständigen Behörden und gegebenenfalls mit +der betroffenen notifizierten Stelle zusammen und nimmt keine Untersuchung vor, die zu einer Veränderung des +betroffenen KI-Systems in einer Weise führt, die möglicherweise Auswirkungen auf eine spätere Bewertung der Ursachen +des Vorfalls hat, bevor er die zuständigen Behörden über eine solche Maßnahme nicht unterrichtet hat. + + +(7) Sobald die zuständige Marktüberwachungsbehörde eine Meldung über einen in Artikel 3 Nummer 49 Buchstabe c +genannten schwerwiegenden Vorfall erhält, informiert sie die in Artikel 77 Absatz 1 genannten nationalen Behörden oder +öffentlichen Stellen. Zur leichteren Einhaltung der Pflichten nach Absatz 1 dieses Artikels arbeitet die Kommission +entsprechende Leitlinien aus. Diese Leitlinien werden bis zum 2. August 2025 veröffentlicht und regelmäßig bewertet. + + +(8) Die Marktüberwachungsbehörde ergreift innerhalb von sieben Tagen nach Eingang der in Absatz 1 dieses Artikels +genannten Meldung geeignete Maßnahmen gemäß Artikel 19 der Verordnung (EU) 2019/1020 und befolgt die in der +genannten Verordnung vorgesehenen Meldeverfahren. + + +(9) Bei Hochrisiko-KI-Systemen nach Anhang III, die von Anbietern in Verkehr gebracht oder in Betrieb genommen +wurden, die Rechtsinstrumenten der Union mit gleichwertigen Meldepflichten wie jenen in dieser Verordnung festgesetzten +unterliegen, müssen nur jene schwerwiegenden Vorfälle gemeldet werden, die in Artikel 3 Nummer 49 Buchstabe c genannt +werden. + + +(10) Bei Hochrisiko-KI-Systemen, bei denen es sich um Sicherheitsbauteile von Produkten handelt, die unter die +Verordnungen (EU) 2017/745 und (EU) 2017/746 fallen, oder die selbst solche Produkte sind, müssen nur die in Artikel 3 +Nummer 49 Buchstabe c dieser Verordnung genannten schwerwiegenden Vorfälle gemeldet werden, und zwar der +zuständigen nationalen Behörde, die für diesen Zweck von den Mitgliedstaaten, in denen der Vorfall stattgefunden hat, +ausgewählt wurde. + + +(11) Die zuständigen nationalen Behörden melden der Kommission unverzüglich jeden schwerwiegenden Vorfall gemäß +Artikel 20 der Verordnung (EU) 2019/1020, unabhängig davon, ob sie diesbezüglich Maßnahmen ergriffen haben. + + +ABSCHNITT 3 + + +Durchsetzung + + +Artikel 74 + + +Marktüberwachung und Kontrolle von KI-Systemen auf dem Unionsmarkt + + +(1) Die Verordnung (EU) 2019/1020 gilt für KI-Systeme, die unter die vorliegende Verordnung fallen. Für die Zwecke +einer wirksamen Durchsetzung der vorliegenden Verordnung gilt Folgendes: + +# DE ABl. L vom 12.7. + +102/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +a)Jede Bezugnahme auf einen Wirtschaftsakteur nach der Verordnung (EU) 2019/1020 gilt auch als Bezugnahme auf alle +Akteure, die in Artikel 2 Absatz 1 der vorliegenden Verordnung genannt werden; + + +b)jede Bezugnahme auf ein Produkt nach der Verordnung (EU) 2019/1020 gilt auch als Bezugnahme auf alle KI-Systeme, +die in den Anwendungsbereich der vorliegenden Verordnung fallen. + + +(2) Im Rahmen ihrer Berichtspflichten gemäß Artikel 34 Absatz 4 der Verordnung (EU) 2019/1020 melden die +Marktüberwachungsbehörden der Kommission und den einschlägigen nationalen Wettbewerbsbehörden jährlich alle +Informationen, die sie im Verlauf ihrer Marktüberwachungstätigkeiten erlangt haben und die für die Anwendung von +Unionsrecht im Bereich der Wettbewerbsregeln von Interesse sein könnten. Ferner erstatten sie der Kommission jährlich +Bericht über die Anwendung verbotener Praktiken in dem betreffenden Jahr und über die ergriffenen Maßnahmen. + + +(3) Bei Hochrisiko-KI-Systemen und damit in Zusammenhang stehenden Produkten, auf die die in Anhang I Ab- +schnitt A aufgeführten Harmonisierungsrechtsvorschriften der Union Anwendung finden, gilt als Marktüberwachungs- +behörde für die Zwecke dieser Verordnung die in jenen Rechtsakten für die Marktüberwachung benannte Behörde. + + +Abweichend von Unterabsatz 1 und unter geeigneten Umständen können die Mitgliedstaaten eine andere einschlägige +Behörde benennen, die die Funktion der Marktüberwachungsbehörde übernimmt, sofern sie die Koordinierung mit den +einschlägigen sektorspezifischen Marktüberwachungsbehörden, die für die Durchsetzung der in Anhang I aufgeführten +Harmonisierungsrechtsvorschriften der Union zuständig sind, sicherstellen. + + +(4) Die Verfahren gemäß den Artikeln 79 bis 83 der vorliegenden Verordnung gelten nicht für KI-Systeme, die im +Zusammenhang mit Produkten stehen, auf die die in Anhang I Abschnitt A aufgeführten Harmonisierungsrechtsvor- +schriften der Union Anwendung finden, wenn in diesen Rechtsakten bereits Verfahren, die ein gleichwertiges Schutzniveau +sicherstellen und dasselbe Ziel haben, vorgesehen sind. In diesen Fällen kommen stattdessen die einschlägigen +sektorspezifischen Verfahren zur Anwendung. + + +(5) Unbeschadet der Befugnisse der Marktüberwachungsbehörden gemäß Artikel 14 der Verordnung (EU) 2019/ +können die Marktüberwachungsbehörden für die Zwecke der Sicherstellung der wirksamen Durchsetzung der vorliegenden +Verordnung die in Artikel 14 Absatz 4 Buchstaben d und j der genannten Verordnung genannten Befugnisse gegebenenfalls +aus der Ferne ausüben. + + +(6) Bei Hochrisiko-KI-Systemen, die von auf der Grundlage des Unionsrechts im Bereich der Finanzdienstleistungen +regulierten Finanzinstituten in Verkehr gebracht, in Betrieb genommen oder verwendet werden, gilt die in jenen +Rechtsvorschriften für die Finanzaufsicht über diese Institute benannte nationale Behörde als Marktüberwachungsbehörde +für die Zwecke dieser Verordnung, sofern das Inverkehrbringen, die Inbetriebnahme oder die Verwendung des KI-Systems +mit der Erbringung dieser Finanzdienstleistungen in direktem Zusammenhang steht. + + +(7) Abweichend von Absatz 6 kann der Mitgliedstaat — unter geeigneten Umständen und wenn für Abstimmung +gesorgt ist — eine andere einschlägige Behörde als Marktüberwachungsbehörde für die Zwecke dieser Verordnung +benennen. + + +Nationale Marktüberwachungsbehörden, die unter die Richtlinie 2013/36/EU fallende Kreditinstitute, welche an dem mit +der Verordnung (EU) Nr. 1024/2013 eingerichteten einheitlichen Aufsichtsmechanismus teilnehmen, beaufsichtigen, sollten +der Europäischen Zentralbank unverzüglich alle im Zuge ihrer Marktüberwachungstätigkeiten ermittelten Informationen +übermitteln, die für die in der genannten Verordnung festgelegten Aufsichtsaufgaben der Europäischen Zentralbank von +Belang sein könnten. + + +(8) Für die in Anhang III Nummer 1 der vorliegenden Verordnung genannten Hochrisiko-KI-Systeme, sofern diese +Systeme für Strafverfolgungszwecke, Grenzmanagement und Justiz und Demokratie eingesetzt werden, und für die in +Anhang III Nummern 6, 7 und 8 genannten Hochrisiko-KI-Systeme benennen die Mitgliedstaaten für die Zwecke dieser +Verordnung als Marktüberwachungsbehörden entweder die nach der Verordnung (EU) 2016/679 oder der Richtlinie (EU) +2016/680 für den Datenschutz zuständigen Aufsichtsbehörden oder jede andere gemäß denselben Bedingungen wie den in +den Artikeln 41 bis 44 der Richtlinie (EU) 2016/680 festgelegten benannte Behörde. Marktüberwachungstätigkeiten dürfen +in keiner Weise die Unabhängigkeit von Justizbehörden beeinträchtigen oder deren Handlungen im Rahmen ihrer +justiziellen Tätigkeit anderweitig beeinflussen. + + +(9) Soweit Organe, Einrichtungen und sonstige Stellen der Union in den Anwendungsbereich dieser Verordnung fallen, +übernimmt der Europäische Datenschutzbeauftragte die Funktion der für sie zuständigen Marktüberwachungsbehörde — +ausgenommen für den Gerichtshof der Europäischen Union im Rahmen seiner Rechtsprechungstätigkeit. + + +(10) Die Mitgliedstaaten erleichtern die Koordinierung zwischen den auf der Grundlage dieser Verordnung benannten +Marktüberwachungsbehörden und anderen einschlägigen nationalen Behörden oder Stellen, die die Anwendung der in +Anhang I aufgeführten Harmonisierungsrechtsvorschriften der Union oder sonstigen Unionsrechts überwachen, das für die +in Anhang III genannten Hochrisiko-KI-Systeme relevant sein könnte. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 103/ + + + +(11) Die Marktüberwachungsbehörden und die Kommission können gemeinsame Tätigkeiten, einschließlich gemein- +samer Untersuchungen, vorschlagen, die von den Marktüberwachungsbehörden oder von den Marktüberwachungs- +behörden gemeinsam mit der Kommission durchgeführt werden, um Konformität zu fördern, Nichtkonformität +festzustellen, zu sensibilisieren oder Orientierung zu dieser Verordnung und bestimmten Kategorien von Hochrisiko- +KI-Systemen, bei denen festgestellt wird, dass sie in zwei oder mehr Mitgliedstaaten gemäß Artikel 9 der Verordnung (EU) +2019/1020 ein ernstes Risiko darstellen, zu geben. Das Büro für Künstliche Intelligenz unterstützt die Koordinierung der +gemeinsamen Untersuchungen. + + +(12) Die Anbieter gewähren den Marktüberwachungsbehörden unbeschadet der Befugnisübertragung gemäß der +Verordnung (EU) 2019/1020 — sofern dies relevant ist und beschränkt auf das zur Wahrnehmung der Aufgaben dieser +Behörden erforderliche Maß — uneingeschränkten Zugang zur Dokumentation sowie zu den für die Entwicklung von +Hochrisiko-KI-Systemen verwendeten Trainings-, Validierungs- und Testdatensätzen, gegebenenfalls und unter Einhaltung +von Sicherheitsvorkehrungen auch über die Anwendungsprogrammierschnittstellen (im Folgenden „API“) oder andere +einschlägige technische Mittel und Instrumente, die den Fernzugriff ermöglichen. + + +(13) Zum Quellcode des Hochrisiko-KI-Systems erhalten Marktüberwachungsbehörden auf begründete Anfrage und nur +dann Zugang, wenn die beiden folgenden Bedingungen erfüllt sind: + + +a)Der Zugang zum Quellcode ist zur Bewertung der Konformität eines Hochrisiko-KI-Systems mit den in Kapitel III +Abschnitt 2 festgelegten Anforderungen notwendig und + + +b)die Test- oder Prüfverfahren und Überprüfungen aufgrund der vom Anbieter bereitgestellten Daten und Dokumentation +wurden ausgeschöpft oder haben sich als unzureichend erwiesen. + + +(14) Jegliche Informationen oder Dokumentation, in deren Besitz die Marktüberwachungsbehörden gelangen, werden im +Einklang mit den in Artikel 78 festgelegten Vertraulichkeitspflichten behandelt. + + +Artikel 75 + + +Amtshilfe, Marktüberwachung und Kontrolle von KI-Systemen mit allgemeinem Verwendungszweck + + +(1) Beruht ein KI-System auf einem KI-Modell mit allgemeinem Verwendungszweck und werden das Modell und das +System vom selben Anbieter entwickelt, so ist das Büro für Künstliche Intelligenz befugt, die Konformität des KI-Systems +mit den Pflichten aus dieser Verordnung zu überwachen und beaufsichtigen. Zur Wahrnehmung seiner Beobachtungs- und +Überwachungsaufgaben hat das Büro für Künstliche Intelligenz alle in diesem Abschnitt und in der Verordnung (EU) +2019/1020 vorgesehenen Befugnisse einer Marktüberwachungsbehörde. + + +(2) Haben die zuständigen Marktüberwachungsbehörden hinreichenden Grund für die Auffassung, dass KI-Systeme mit +allgemeinem Verwendungszweck, die von Betreibern direkt für mindestens einen Zweck, der gemäß dieser Verordnung als +hochriskant eingestuft ist, verwendet werden können, nicht mit den in dieser Verordnung festgelegten Anforderungen +konform sind, so arbeiten sie bei der Durchführung von Konformitätsbewertungen mit dem Büro für Künstliche Intelligenz +zusammen und unterrichten das KI-Gremium und andere Marktüberwachungsbehörden entsprechend. + + +(3) Ist eine Marktüberwachungsbehörde wegen der Unzugänglichkeit bestimmter Informationen im Zusammenhang mit +dem KI-Modell mit allgemeinem Verwendungszweck nicht in der Lage, ihre Ermittlungen zu dem Hochrisiko-KI-System +abzuschließen, obwohl sie alle angemessenen Anstrengungen unternommen hat, diese Informationen zu erhalten, kann sie +ein begründetes Ersuchen an das Büro für Künstliche Intelligenz richten, durch das der Zugang zu den Informationen +durchgesetzt werden kann. In diesem Fall übermittelt das Büro für Künstliche Intelligenz der ersuchenden Behörde +unverzüglich, spätestens aber innerhalb von 30 Tagen, alle Informationen, die das Büro für Künstliche Intelligenz für die +Feststellung, ob ein Hochrisiko-KI-System nicht konform ist, für erforderlich erachtet. Die Marktüberwachungsbehörden +gewährleisten gemäß Artikel 78 der vorliegenden Verordnung die Vertraulichkeit der von ihnen erlangten Informationen. +Das Verfahren nach Kapitel VI der Verordnung (EU) 2019/1020 gilt entsprechend. + + +Artikel 76 + + +Beaufsichtigung von Tests unter Realbedingungen durch Marktüberwachungsbehörden + + +(1) Marktüberwachungsbehörden müssen über die Kompetenzen und Befugnisse verfügen, um sicherzustellen, dass Tests +unter Realbedingungen gemäß dieser Verordnung erfolgen. + +# DE ABl. L vom 12.7. + +104/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(2) Wenn ein Test unter Realbedingungen für KI-Systeme durchgeführt wird, die in einem KI-Reallabor gemäß Artikel 58 +beaufsichtigt werden, überprüfen die Marktüberwachungsbehörden im Rahmen ihrer Aufsichtsaufgaben für das +KI-Reallabor die Einhaltung des Artikels 60. Die Behörden können gegebenenfalls gestatten, dass der Anbieter oder +zukünftige Anbieter den Test unter Realbedingungen in Abweichung von den in Artikel 60 Absatz 4 Buchstaben f und g +festgelegten Bedingungen durchführt. + + +(3) Wenn eine Marktüberwachungsbehörde vom zukünftigen Anbieter, vom Anbieter oder von einem Dritten über +einen schwerwiegenden Vorfall informiert wurde oder Grund zu der Annahme hat, dass die in den Artikeln 60 und 61 +festgelegten Bedingungen nicht erfüllt sind, kann sie — je nachdem, was angemessen ist — in ihrem Hoheitsgebiet +gegebenenfalls entscheiden, entweder + + +a)den Test unter Realbedingungen auszusetzen oder abzubrechen oder + + +b)den Anbieter oder zukünftigen Anbieter und die Betreiber oder zukünftigen Betreiber zur Änderung eines beliebigen +Aspekts des Tests unter Realbedingungen zu verpflichten. + + +(4) Wenn eine Marktüberwachungsbehörde eine Entscheidung nach Absatz 3 des vorliegenden Artikels getroffen oder +Einwände im Sinne des Artikels 60 Absatz 4 Buchstabe b erhoben hat, sind im Rahmen der Entscheidung oder der +Einwände die Gründe dafür zu nennen sowie anzugeben, wie der Anbieter oder zukünftige Anbieter die Entscheidung oder +die Einwände anfechten kann. + + +(5) Wenn eine Marktüberwachungsbehörde eine Entscheidung nach Absatz 3 getroffen hat, teilt sie ihre Gründe dafür +gegebenenfalls den Marktüberwachungsbehörden anderer Mitgliedstaaten mit, in denen das KI-System gemäß dem Plan für +den Test getestet wurde. + + +Artikel 77 +Befugnisse der für den Schutz der Grundrechte zuständigen Behörden + + +(1) Nationale Behörden oder öffentliche Stellen, die die Einhaltung des Unionsrechts zum Schutz der Grundrechte, +einschließlich des Rechts auf Nichtdiskriminierung, in Bezug auf die Verwendung der in Anhang III genannten +Hochrisiko-KI-Systeme beaufsichtigen oder durchsetzen, sind befugt, sämtliche auf der Grundlage dieser Verordnung in +zugänglicher Sprache und Format erstellte oder geführte Dokumentation anzufordern und einzusehen, sofern der Zugang +zu dieser Dokumentation für die wirksame Ausübung ihrer Aufträge im Rahmen ihrer Befugnisse innerhalb der Grenzen +ihrer Hoheitsgewalt notwendig ist. Die jeweilige Behörde oder öffentliche Stelle informiert die Marktüberwachungsbehörde +des betreffenden Mitgliedstaats von jeder diesbezüglichen Anfrage. + + +(2) Bis 2. November 2024 muss jeder Mitgliedstaat die in Absatz 1 genannten Behörden oder öffentlichen Stellen +benennen und in einer öffentlichen Liste verfügbar machen. Die Mitgliedstaaten übermitteln die Liste der Kommission und +den anderen Mitgliedstaaten und halten die Liste auf dem neuesten Stand. + + +(3) Sollte die in Absatz 1 genannte Dokumentation nicht ausreichen, um feststellen zu können, ob ein Verstoß gegen das +Unionsrecht zum Schutz der Grundrechte vorliegt, so kann die in Absatz 1 genannte Behörde oder öffentliche Stelle bei der +Marktüberwachungsbehörde einen begründeten Antrag auf Durchführung eines technischen Tests des Hochrisiko-KI- +Systems stellen. Die Marktüberwachungsbehörde führt den Test unter enger Einbeziehung der beantragenden Behörde oder +öffentlichen Stelle innerhalb eines angemessenen Zeitraums nach Eingang des Antrags durch. + + +(4) Jegliche Informationen oder Dokumentation, in deren Besitz die in Absatz 1 des vorliegenden Artikels genannten +nationalen Behörden oder öffentlichen Stellen auf der Grundlage des vorliegenden Artikels gelangen, werden im Einklang +mit den in Artikel 78 festgelegten Vertraulichkeitspflichten behandelt. + + +Artikel 78 + + +Vertraulichkeit + + +(1) Die Kommission, die Marktüberwachungsbehörden und die notifizierten Stellen sowie alle anderen natürlichen oder +juristischen Personen, die an der Anwendung dieser Verordnung beteiligt sind, wahren gemäß dem Unionsrecht oder dem +nationalen Recht die Vertraulichkeit der Informationen und Daten, in deren Besitz sie bei der Ausführung ihrer Aufgaben +und Tätigkeiten gelangen, sodass insbesondere Folgendes geschützt ist: + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 105/ + + + +a)die Rechte des geistigen Eigentums sowie vertrauliche Geschäftsinformationen oder Geschäftsgeheimnisse natürlicher +oder juristischer Personen, einschließlich Quellcodes, mit Ausnahme der in Artikel 5 der Richtlinie (EU) 2016/943 des +Europäischen Parlaments und des Rates (^57 ); + + +b)die wirksame Durchführung dieser Verordnung, insbesondere für die Zwecke von Inspektionen, Untersuchungen oder +Audits; + + +c) öffentliche und nationale Sicherheitsinteressen; + + +d)die Durchführung von Straf- oder Verwaltungsverfahren; + + +e) gemäß dem Unionsrecht oder dem nationalen Recht als Verschlusssache eingestufte Informationen. + + +(2) Die gemäß Absatz 1 an der Anwendung dieser Verordnung beteiligten Behörden fragen nur Daten an, die für die +Bewertung des von KI-Systemen ausgehenden Risikos und für die Ausübung ihrer Befugnisse in Übereinstimmung mit +dieser Verordnung und mit der Verordnung (EU) 2019/1020 unbedingt erforderlich sind. Sie ergreifen angemessene und +wirksame Cybersicherheitsmaßnahmen zum Schutz der Sicherheit und Vertraulichkeit der erlangten Informationen und +Daten und löschen im Einklang mit dem geltenden Unionsrecht oder nationalen Recht die erhobenen Daten, sobald sie für +den Zweck, für den sie erlangt wurden, nicht mehr benötigt werden. + + +(3) Unbeschadet der Absätze 1 und 2 darf der Austausch vertraulicher Informationen zwischen den zuständigen +nationalen Behörden untereinander oder zwischen den zuständigen nationalen Behörden und der Kommission nicht ohne +vorherige Rücksprache mit der zuständigen nationalen Behörde, von der die Informationen stammen, und dem Betreiber +offengelegt werden, sofern die in Anhang III Nummer 1, 6 oder 7 genannten Hochrisiko-KI-Systeme von Strafverfolgungs-, +Grenzschutz-, Einwanderungs- oder Asylbehörden verwendet werden und eine solche Offenlegung die öffentlichen und +nationalen Sicherheitsinteressen gefährden könnte. Dieser Informationsaustausch erstreckt sich nicht auf sensible operative +Daten zu den Tätigkeiten von Strafverfolgungs-, Grenzschutz-, Einwanderungs- oder Asylbehörden. + + +Handeln Strafverfolgungs-, Einwanderungs- oder Asylbehörden als Anbieter von in Anhang III Nummer 1, 6 oder 7 +genannten Hochrisiko-KI-Systemen, so verbleibt die technische Dokumentation nach Anhang IV in den Räumlichkeiten +dieser Behörden. Diese Behörden sorgen dafür, dass die in Artikel 74 Absätze 8 und 9 genannten Marktüberwachungs- +behörden auf Anfrage unverzüglich Zugang zu dieser Dokumentation oder eine Kopie davon erhalten. Zugang zu dieser +Dokumentation oder zu einer Kopie davon darf nur das Personal der Marktüberwachungsbehörde erhalten, das über eine +entsprechende Sicherheitsfreigabe verfügt. + + +(4) Die Absätze 1, 2 und 3 dürfen sich weder auf die Rechte oder Pflichten der Kommission, der Mitgliedstaaten und +ihrer einschlägigen Behörden sowie der notifizierten Stellen in Bezug auf den Informationsaustausch und die Weitergabe +von Warnungen, einschließlich im Rahmen der grenzüberschreitenden Zusammenarbeit, noch auf die Pflichten der +betreffenden Parteien auswirken, Informationen auf der Grundlage des Strafrechts der Mitgliedstaaten bereitzustellen. + + +(5) Die Kommission und die Mitgliedstaaten können erforderlichenfalls und im Einklang mit den einschlägigen +Bestimmungen internationaler Übereinkommen und Handelsabkommen mit Regulierungsbehörden von Drittstaaten, mit +denen sie bilaterale oder multilaterale Vertraulichkeitsvereinbarungen getroffen haben und die ein angemessenes Niveau an +Vertraulichkeit gewährleisten, vertrauliche Informationen austauschen. + + +Artikel 79 + + +Verfahren auf nationaler Ebene für den Umgang mit KI-Systemen, die ein Risiko bergen + + +(1) Als KI-Systeme, die ein Risiko bergen, gelten „Produkte, mit denen ein Risiko verbunden ist“ im Sinne des Artikels 3 +Nummer 19 der Verordnung (EU) 2019/1020, sofern sie Risiken für die Gesundheit oder Sicherheit oder Grundrechte von +Personen bergen. + + +(2) Hat die Marktüberwachungsbehörde eines Mitgliedstaats hinreichend Grund zu der Annahme, dass ein KI-System ein +Risiko nach Absatz 1 des vorliegenden Artikels birgt, so prüft sie das betreffende KI-System im Hinblick auf die Erfüllung +aller in der vorliegenden Verordnung festgelegten Anforderungen und Pflichten. Besondere Aufmerksamkeit gilt +KI-Systemen, die für schutzbedürftige Gruppen ein Risiko bergen. Wenn Risiken für die Grundrechte festgestellt werden, +informiert die Marktüberwachungsbehörde auch die in Artikel 77 Absatz 1 genannten einschlägigen nationalen Behörden +oder öffentlichen Stellen und arbeitet uneingeschränkt mit ihnen zusammen. Die betreffenden Akteure arbeiten +erforderlichenfalls mit der Marktüberwachungsbehörde und den in Artikel 77 Absatz 1 genannten anderen Behörden oder +öffentlichen Stellen zusammen. + +# DE ABl. L vom 12.7. + +106/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +(^57 ) Richtlinie (EU) 2016/943 des Europäischen Parlaments und des Rates vom 8. Juni 2016 über den Schutz vertraulichen Know-hows +und vertraulicher Geschäftsinformationen (Geschäftsgeheimnisse) vor rechtswidrigem Erwerb sowie rechtswidriger Nutzung und +Offenlegung (ABl. L 157 vom 15.6.2016, S. 1). + + + +Stellt die Marktüberwachungsbehörde oder gegebenenfalls die Marktüberwachungsbehörde in Zusammenarbeit mit der in +Artikel 77 Absatz 1 genannten nationalen Behörde im Verlauf dieser Prüfung fest, dass das KI-System die in dieser +Verordnung festgelegten Anforderungen und Pflichten nicht erfüllt, fordert sie den jeweiligen Akteur unverzüglich auf, alle +Korrekturmaßnahmen zu ergreifen, die geeignet sind, die Konformität des KI-Systems herzustellen, das KI-System vom +Markt zu nehmen oder es innerhalb einer Frist, die die Marktüberwachungsbehörde vorgeben kann, in jedem Fall innerhalb +von weniger als 15 Arbeitstagen, oder gemäß den einschlägigen Harmonisierungsrechtsvorschriften der Union +zurückzurufen. + + +Die Marktüberwachungsbehörde informiert die betreffende notifizierte Stelle entsprechend. Artikel 18 der Verordnung (EU) +2019/1020 gilt für die in Unterabsatz 2 des vorliegenden Absatzes genannten Maßnahmen. + + +(3) Gelangt die Marktüberwachungsbehörde zu der Auffassung, dass die Nichtkonformität nicht auf ihr nationales +Hoheitsgebiet beschränkt ist, so informiert sie die Kommission und die anderen Mitgliedstaaten unverzüglich über die +Ergebnisse der Prüfung und über die Maßnahmen, zu denen sie den Akteur aufgefordert hat. + + +(4) Der Akteur sorgt dafür, dass alle geeigneten Korrekturmaßnahmen in Bezug auf alle betreffenden KI-Systeme, die er +auf dem Unionsmarkt bereitgestellt hat, getroffen werden. + + +(5) Ergreift der Akteur in Bezug auf sein KI-System keine geeigneten Korrekturmaßnahmen innerhalb der in Absatz 2 +genannten Frist, trifft die Marktüberwachungsbehörde alle geeigneten vorläufigen Maßnahmen, um die Bereitstellung oder +Inbetriebnahme des KI-Systems auf ihrem nationalen Markt zu verbieten oder einzuschränken, das Produkt oder das +eigenständige KI-System von diesem Markt zu nehmen oder es zurückzurufen. Diese Behörde notifiziert unverzüglich die +Kommission und die anderen Mitgliedstaaten über diese Maßnahmen. + + +(6) Die Notifizierung nach Absatz 5 enthält alle vorliegenden Angaben, insbesondere die für die Identifizierung des nicht +konformen Systems notwendigen Informationen, den Ursprung des KI-Systems und die Lieferkette, die Art der vermuteten +Nichtkonformität und das sich daraus ergebende Risiko, die Art und Dauer der ergriffenen nationalen Maßnahmen und die +von dem betreffenden Akteur vorgebrachten Argumente. Die Marktüberwachungsbehörden geben insbesondere an, ob die +Nichtkonformität eine oder mehrere der folgenden Ursachen hat: + + +a)Missachtung des Verbots der in Artikel 5 genannten KI-Praktiken; + + +b)Nichterfüllung der in Kapitel III Abschnitt 2 festgelegten Anforderungen durch ein Hochrisiko-KI-System; + + +c) Mängel in den in den Artikeln 40 und 41 genannten harmonisierten Normen oder gemeinsamen Spezifikationen, die +eine Konformitätsvermutung begründen; + + +d)Nichteinhaltung des Artikels 50. + + +(7) Die anderen Marktüberwachungsbehörden — mit Ausnahme der Marktüberwachungsbehörde des Mitgliedstaats, der +das Verfahren eingeleitet hat — informieren unverzüglich die Kommission und die anderen Mitgliedstaaten über jegliche +Maßnahmen und ihnen vorliegende zusätzlichen Informationen zur Nichtkonformität des betreffenden KI-Systems sowie — +falls sie die ihnen mitgeteilte nationale Maßnahme ablehnen — über ihre Einwände. + + +(8) Erhebt weder eine Marktüberwachungsbehörde eines Mitgliedstaats noch die Kommission innerhalb von drei +Monaten nach Eingang der in Absatz 5 des vorliegenden Artikels genannten Notifizierung Einwände gegen eine von einer +Marktüberwachungsbehörde eines anderen Mitgliedstaats erlassene vorläufige Maßnahme, so gilt diese Maßnahme als +gerechtfertigt. Die Verfahrensrechte des betreffenden Akteurs nach Artikel 18 der Verordnung (EU) 2019/1020 bleiben +hiervon unberührt. Die Frist von drei Monaten gemäß dem vorliegenden Absatz wird bei Nichteinhaltung des Verbots der in +Artikel 5 der vorliegenden Verordnung genannten KI-Praktiken auf 30 Tage verkürzt. + + +(9) Die Marktüberwachungsbehörden tragen dafür Sorge, dass geeignete einschränkende Maßnahmen in Bezug auf das +betreffende Produkt oder KI-System ergriffen werden, beispielsweise die unverzügliche Rücknahme des Produkts oder +KI-Systems von ihrem Markt. + + +Artikel 80 + + +Verfahren für den Umgang mit KI-Systemen, die vom Anbieter gemäß Anhang III als nicht hochriskant eingestuft +werden + + +(1) Hat eine Marktüberwachungsbehörde hinreichend Grund zu der Annahme, dass ein vom Anbieter als nicht +hochriskant gemäß Artikel 6 Absatz 3 eingestuftes KI-System tatsächlich hochriskant ist, so prüft die Marktüber- +wachungsbehörde das betreffende KI-System im Hinblick auf seine Einstufung als Hochrisiko-KI-System auf der Grundlage +der in Artikel 6 Absatz 3 festgelegten Bedingungen und den Leitlinien der Kommission. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 107/ + + + +(2) Stellt die Marktüberwachungsbehörde im Verlauf dieser Prüfung fest, dass das betreffende KI-System hochriskant ist, +fordert sie den jeweiligen Anbieter unverzüglich auf, alle erforderlichen Maßnahmen zu ergreifen, um die Konformität des +KI-Systems mit den in dieser Verordnung festgelegten Anforderungen und Pflichten herzustellen, sowie innerhalb einer +Frist, die die Marktüberwachungsbehörde vorgeben kann, geeignete Korrekturmaßnahmen zu ergreifen. + + +(3) Gelangt die Marktüberwachungsbehörde zu der Auffassung, dass die Verwendung des betreffenden KI-Systems nicht +auf ihr nationales Hoheitsgebiet beschränkt ist, so informiert sie die Kommission und die anderen Mitgliedstaaten +unverzüglich über die Ergebnisse der Prüfung und über die Maßnahmen, zu denen sie den Anbieter aufgefordert hat. + + +(4) Der Anbieter sorgt dafür, dass alle erforderlichen Maßnahmen ergriffen werden, um die Konformität des KI-Systems +mit den in dieser Verordnung festgelegten Anforderungen und Pflichten herzustellen. Stellt der Anbieter eines betroffenen +KI-Systems die Konformität des KI-Systems mit diesen Anforderungen und Pflichten nicht innerhalb der in Absatz 2 des +vorliegenden Artikels genannten Frist her, so werden gegen den Anbieter Geldbußen gemäß Artikel 99 verhängt. + + +(5) Der Anbieter sorgt dafür, dass alle geeigneten Korrekturmaßnahmen in Bezug auf alle betreffenden KI-Systeme, die er +auf dem Unionsmarkt bereitgestellt hat, getroffen werden. + + +(6) Ergreift der Anbieter des betreffenden KI-Systems innerhalb der in Absatz 2 des vorliegenden Artikels genannten Frist +keine angemessenen Korrekturmaßnahmen, so findet Artikel 79 Absätze 5 bis 9 Anwendung. + + +(7) Stellt die Marktüberwachungsbehörde im Verlauf der Prüfung gemäß Absatz 1 des vorliegenden Artikels fest, dass das +KI-System vom Anbieter fälschlich als nicht hochriskant eingestuft wurde, um die Geltung der Anforderungen von +Kapitel III Abschnitt 2 zu umgehen, so werden gegen den Anbieter Geldbußen gemäß Artikel 99 verhängt. + + +(8) Bei der Ausübung ihrer Befugnis zur Überwachung der Anwendung dieses Artikels können die Marktüber- +wachungsbehörden im Einklang mit Artikel 11 der Verordnung (EU) 2019/1020 geeignete Überprüfungen durchführen, +wobei sie insbesondere Informationen berücksichtigen, die in der EU-Datenbank gemäß Artikel 71 der vorliegenden +Verordnung gespeichert sind. + + +Artikel 81 + + +Schutzklauselverfahren der Union + + +(1) Erhebt eine Marktüberwachungsbehörde eines Mitgliedstaats innerhalb von drei Monaten nach Eingang der in +Artikel 79 Absatz 5 genannten Notifizierung — oder bei Nichteinhaltung des Verbots der in Artikel 5 genannten +KI-Praktiken innerhalb von 30 Tagen — Einwände gegen eine von der Marktüberwachungsbehörde eines anderen +Mitgliedstaats getroffene Maßnahme oder ist die Kommission der Ansicht, dass die Maßnahme mit dem Unionsrecht +unvereinbar ist, so nimmt die Kommission unverzüglich Konsultationen mit der Marktüberwachungsbehörde des +betreffenden Mitgliedstaats und dem Akteur bzw. den Akteuren auf und prüft die nationale Maßnahme. Anhand der +Ergebnisse dieser Prüfung entscheidet die Kommission innerhalb von sechs Monaten — oder bei Nichteinhaltung des +Verbots der in Artikel 5 genannten KI-Praktiken innerhalb von 60 Tagen — ab dem Eingang der in Artikel 79 Absatz 5 +genannten Notifizierung, ob die nationale Maßnahme gerechtfertigt ist, und teilt der Marktüberwachungsbehörde des +betreffenden Mitgliedstaats ihre Entscheidung mit. Die Kommission unterrichtet auch alle übrigen Marktüberwachungs- +behörden über ihre Entscheidung. + + +(2) Ist die Kommission der Ansicht, dass die von dem betreffenden Mitgliedstaat ergriffene Maßnahme gerechtfertigt ist, +so tragen alle Mitgliedstaaten dafür Sorge, dass sie geeignete einschränkende Maßnahmen in Bezug auf das betreffende +KI-System ergreifen, etwa die Anordnung der unverzüglichen Rücknahme des KI-Systems von ihrem Markt, und informiert +die Kommission darüber. Erachtet die Kommission die nationale Maßnahme als nicht gerechtfertigt, nimmt der betreffende +Mitgliedstaat die Maßnahme zurück und informiert die Kommission darüber. + + +(3) Gilt die nationale Maßnahme als gerechtfertigt und wird die Nichtkonformität des KI-Systems auf Mängel in den in +den Artikeln 40 und 41 dieser Verordnung genannten harmonisierten Normen oder gemeinsamen Spezifikationen +zurückgeführt, so leitet die Kommission das in Artikel 11 der Verordnung (EU) Nr. 1025/2012 festgelegte Verfahren ein. + + +Artikel 82 + + +Konforme KI-Systeme, die ein Risiko bergen + + +(1) Stellt die Marktüberwachungsbehörde eines Mitgliedstaats — nach einer Konsultation der in Artikel 77 Absatz 1 +genannten betreffenden nationalen Behörde — nach der gemäß Artikel 79 durchgeführten Prüfung fest, dass ein +Hochrisiko-KI-System zwar dieser Verordnung entspricht, aber dennoch ein Risiko für die Gesundheit oder Sicherheit von +Personen, für die Grundrechte oder für andere Aspekte des Schutzes öffentlicher Interessen darstellt, so fordert sie +unverzüglich den betreffenden Akteur auf, alle geeigneten Maßnahmen zu treffen, damit das betreffende KI-System zum +Zeitpunkt des Inverkehrbringens oder der Inbetriebnahme dieses Risiko nicht mehr birgt, und zwar innerhalb einer Frist, +die sie vorgeben kann. + +# DE ABl. L vom 12.7. + +108/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(2) Der Anbieter oder der andere einschlägige Akteur sorgt dafür, dass in Bezug auf alle betroffenen KI-Systeme, die er +auf dem Unionsmarkt bereitgestellt hat, innerhalb der Frist, die von der in Absatz 1 genannten Marktüberwachungsbehörde +des Mitgliedstaats vorgegeben wurde, Korrekturmaßnahmen ergriffen werden. + + +(3) Die Mitgliedstaaten unterrichten unverzüglich die Kommission und die anderen Mitgliedstaaten über Feststellungen +gemäß Absatz 1. Diese Unterrichtung enthält alle vorliegenden Angaben, insbesondere die für die Identifizierung des +betreffenden KI-Systems notwendigen Daten, den Ursprung und die Lieferkette des KI-Systems, die Art des sich daraus +ergebenden Risikos sowie die Art und Dauer der ergriffenen nationalen Maßnahmen. + + +(4) Die Kommission nimmt unverzüglich mit den betreffenden Mitgliedstaaten und den jeweiligen Akteuren +Konsultationen auf und prüft die ergriffenen nationalen Maßnahmen. Anhand der Ergebnisse dieser Prüfung entscheidet +die Kommission, ob die Maßnahme gerechtfertigt ist, und schlägt, falls erforderlich, weitere geeignete Maßnahmen vor. + + +(5) Die Kommission teilt ihren Beschluss unverzüglich den betroffenen Mitgliedstaaten und den jeweiligen Akteuren mit. +Sie unterrichtet auch die übrigen Mitgliedstaaten. + + +Artikel 83 + + +Formale Nichtkonformität + + +(1) Wenn die Marktüberwachungsbehörde eines Mitgliedstaats eine der folgenden Nichtkonformitäten feststellt, fordert +sie den jeweiligen Anbieter auf, diese binnen einer Frist, die sie vorgeben kann, zu beheben: + + +a)die CE-Kennzeichnung wurde unter Verstoß gegen Artikel 48 angebracht; + + +b)es wurde keine CE-Kennzeichnung angebracht; + + +c) es wurde keine EU-Konformitätserklärung gemäß Artikel 47 ausgestellt; + + +d)es wurde keine EU-Konformitätserklärung gemäß Artikel 47 ordnungsgemäß ausgestellt; + + +e) es wurde keine Registrierung in der EU-Datenbank gemäß Artikel 71 vorgenommen; + + +f) es wurde kein Bevollmächtigter — sofern erforderlich — ernannt; + + +g)es ist keine technische Dokumentation verfügbar. + + +(2) Besteht die Nichtkonformität nach Absatz 1 weiter, so ergreift die Marktüberwachungsbehörde des betreffenden +Mitgliedstaats geeignete und verhältnismäßige Maßnahmen, um die Bereitstellung des Hochrisiko-KI-Systems auf dem +Markt zu beschränken oder zu verbieten oder um dafür zu sorgen, dass es unverzüglich zurückgerufen oder vom Markt +genommen wird. + + +Artikel 84 + + +Unionsstrukturen zur Unterstützung der Prüfung von KI + + +(1) Die Kommission benennt eine oder mehrere Unionsstrukturen zur Unterstützung der Prüfung von KI, die die +Aufgaben gemäß Artikel 21 Absatz 6 der Verordnung (EU) 2019/1020 im KI-Bereich wahrnehmen. + + +(2) Unbeschadet der in Absatz 1 genannten Aufgaben leisten die Unionsstrukturen zur Unterstützung der Prüfung von +KI auf Anfrage des KI-Gremiums, der Kommission oder der Marktüberwachungsbehörden auch unabhängige technische +oder wissenschaftliche Beratung. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 109/ + + + +ABSCHNITT 4 + + +Rechtsbehelfe + + +Artikel 85 + + +Recht auf Beschwerde bei einer Marktüberwachungsbehörde + + +Unbeschadet anderer verwaltungsrechtlicher oder gerichtlicher Rechtsbehelfe kann jede natürliche oder juristische Person, +die Grund zu der Annahme hat, dass gegen die Bestimmungen dieser Verordnung verstoßen wurde, bei der betreffenden +Marktüberwachungsbehörde Beschwerden einreichen. + + +Gemäß der Verordnung (EU) 2019/1020 werden solche Beschwerden für die Zwecke der Durchführung von +Marktüberwachungstätigkeiten berücksichtigt und nach den einschlägigen von den Marktüberwachungsbehörden dafür +eingerichteten Verfahren behandelt. + + +Artikel 86 + + +Recht auf Erläuterung der Entscheidungsfindung im Einzelfall + + +(1) Personen, die von einer Entscheidung betroffen sind, die der Betreiber auf der Grundlage der Ausgaben eines in +Anhang III aufgeführten Hochrisiko-KI-Systems, mit Ausnahme der in Nummer 2 des genannten Anhangs aufgeführten +Systeme, getroffen hat und die rechtliche Auswirkungen hat oder sie in ähnlicher Art erheblich auf eine Weise +beeinträchtigt, die ihrer Ansicht nach ihre Gesundheit, ihre Sicherheit oder ihre Grundrechte beeinträchtigt, haben das +Recht, vom Betreiber eine klare und aussagekräftige Erläuterung zur Rolle des KI-Systems im Entscheidungsprozess und zu +den wichtigsten Elementen der getroffenen Entscheidung zu erhalten. + + +(2) Absatz 1 gilt nicht für die Verwendung von KI-Systemen, bei denen sich Ausnahmen von oder Beschränkungen der +Pflicht nach dem genannten Absatz aus dem Unionsrecht oder dem nationalen Recht im Einklang mit dem Unionsrecht +ergeben. + + +(3) Dieser Artikel gilt nur insoweit, als das Recht gemäß Absatz 1 nicht anderweitig im Unionsrecht festgelegt ist. + + +Artikel 87 + + +Meldung von Verstößen und Schutz von Hinweisgebern + + +Für die Meldung von Verstößen gegen diese Verordnung und den Schutz von Personen, die solche Verstöße melden, gilt die +Richtlinie (EU) 2019/1937. + + +ABSCHNITT 5 +Aufsicht, Ermittlung, Durchsetzung und Überwachung in Bezug auf Anbieter von KI-Modellen mit allgemeinem +Verwendungszweck + + +Artikel 88 + + +Durchsetzung der Pflichten der Anbieter von KI-Modellen mit allgemeinem Verwendungszweck + + +(1) Die Kommission verfügt unter Berücksichtigung der Verfahrensgarantien nach Artikel 94 über ausschließliche +Befugnisse zur Beaufsichtigung und Durchsetzung von Kapitel V. Unbeschadet der Organisationsbefugnisse der +Kommission und der Aufteilung der Zuständigkeiten zwischen den Mitgliedstaaten und der Union auf der Grundlage +der Verträge überträgt die Kommission dem Büro für Künstliche Intelligenz die Durchführung dieser Aufgaben. + + +(2) Unbeschadet des Artikels 75 Absatz 3 können die Marktüberwachungsbehörden die Kommission ersuchen, die in +diesem Abschnitt festgelegten Befugnisse auszuüben, wenn es erforderlich und verhältnismäßig ist, um die Wahrnehmung +ihrer Aufgaben gemäß dieser Verordnung zu unterstützen. + +# DE ABl. L vom 12.7. + +110/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Artikel 89 + + +Überwachungsmaßnahmen + + +(1) Zur Wahrnehmung der ihr in diesem Abschnitt übertragenen Aufgaben kann das Büro für Künstliche Intelligenz die +erforderlichen Maßnahmen ergreifen, um die wirksame Umsetzung und Einhaltung dieser Verordnung durch Anbieter von +KI-Modellen mit allgemeinem Verwendungszweck, einschließlich der Einhaltung genehmigter Praxisleitfäden, zu +überwachen. + + +(2) Nachgelagerte Anbieter haben das Recht, eine Beschwerde wegen eines Verstoßes gegen diese Verordnung +einzureichen. Eine Beschwerde ist hinreichend zu begründen und enthält mindestens Folgendes: + + +a)die Kontaktstelle des Anbieters des betreffenden KI-Modells mit allgemeinem Verwendungszweck; + + +b)eine Beschreibung der einschlägigen Fakten, die betreffenden Bestimmungen dieser Verordnung und die Begründung, +warum der nachgelagerte Anbieter der Auffassung ist, dass der Anbieter des KI-Modells mit allgemeinem +Verwendungszweck gegen diese Verordnung verstoßen hat; + + +c) alle sonstigen Informationen, die der nachgelagerte Anbieter, der die Anfrage übermittelt hat, für relevant hält, +gegebenenfalls einschließlich Informationen, die er auf eigene Initiative hin zusammengetragen hat. + + +Artikel 90 + + +Warnungen des wissenschaftlichen Gremiums vor systemischen Risiken + + +(1) Das wissenschaftliche Gremium kann dem Büro für Künstliche Intelligenz eine qualifizierte Warnung übermitteln, +wenn es Grund zu der Annahme hat, dass + + +a)ein KI-Modell mit allgemeinem Verwendungszweck ein konkretes, identifizierbares Risiko auf Unionsebene birgt oder + + +b)ein KI-Modell mit allgemeinem Verwendungszweck die Bedingungen gemäß Artikel 51 erfüllt. + + +(2) Aufgrund einer solchen qualifizierten Warnung kann die Kommission über das Büro für Künstliche Intelligenz und +nach Unterrichtung des KI-Gremiums die in diesem Abschnitt festgelegten Befugnisse zur Beurteilung der Angelegenheit +ausüben. Das Büro für Künstliche Intelligenz unterrichtet das KI-Gremium über jede Maßnahme gemäß den +Artikeln 91 bis 94. + + +(3) Eine qualifizierte Warnung ist hinreichend zu begründen und enthält mindestens Folgendes: + + +a)die Kontaktstelle des Anbieters des betreffenden KI-Modells mit allgemeinem Verwendungszweck mit systemischem +Risiko; + + +b)eine Beschreibung der einschlägigen Fakten und der Gründe für die Warnung durch das wissenschaftliche Gremium; + + +c) alle sonstigen Informationen, die das wissenschaftliche Gremium für relevant hält, gegebenenfalls einschließlich +Informationen, die es auf eigene Initiative hin zusammengetragen hat. + + +Artikel 91 + + +Befugnis zur Anforderung von Dokumentation und Informationen + + +(1) Die Kommission kann den Anbieter des betreffenden KI-Modells mit allgemeinem Verwendungszweck auffordern, +die vom Anbieter gemäß den Artikeln 53 und 55 erstellte Dokumentation oder alle zusätzlichen Informationen vorzulegen, +die erforderlich sind, um die Einhaltung dieser Verordnung durch den Anbieter zu beurteilen. + + +(2) Vor der Übermittlung des Informationsersuchens kann das Büro für Künstliche Intelligenz einen strukturierten +Dialog mit dem Anbieter des KI-Modells mit allgemeinem Verwendungszweck einleiten. + + +(3) Auf hinreichend begründeten Antrag des wissenschaftlichen Gremiums kann die Kommission ein Informations- +ersuchen an einen Anbieter eines KI-Modells mit allgemeinem Verwendungszweck richten, wenn der Zugang zu +Informationen für die Wahrnehmung der Aufgaben des wissenschaftlichen Gremiums gemäß Artikel 68 Absatz 2 +erforderlich und verhältnismäßig ist. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 111/ + + + +(4) In dem Auskunftsersuchen sind die Rechtsgrundlage und der Zweck des Ersuchens zu nennen, anzugeben, welche +Informationen benötigt werden, eine Frist für die Übermittlung der Informationen zu setzen, und die Geldbußen für die +Erteilung unrichtiger, unvollständiger oder irreführender Informationen gemäß Artikel 101 anzugeben. + + +(5) Der Anbieter des betreffenden KI-Modells mit allgemeinem Verwendungszweck oder sein Vertreter stellt die +angeforderten Informationen bereit. Im Falle juristischer Personen, Gesellschaften oder — wenn der Anbieter keine +Rechtspersönlichkeit besitzt — die Personen, die nach Gesetz oder Satzung zur Vertretung dieser Personen befugt sind, +stellen die angeforderten Informationen im Namen des Anbieters des betreffenden KI-Modells mit allgemeinem +Verwendungszweck zur Verfügung. Ordnungsgemäß bevollmächtigte Rechtsanwälte können Informationen im Namen +ihrer Mandanten erteilen. Die Mandanten bleiben jedoch in vollem Umfang dafür verantwortlich, dass die erteilten +Auskünfte vollständig, sachlich richtig oder nicht irreführend sind. + + +Artikel 92 + + +Befugnis zur Durchführung von Bewertungen + + +(1) Das Büro für Künstliche Intelligenz kann nach Konsultation des KI-Gremiums Bewertungen des betreffenden +KI-Modells mit allgemeinem Verwendungszweck durchführen, um + + +a)die Einhaltung der Pflichten aus dieser Verordnung durch den Anbieter zu beurteilen, wenn die gemäß Artikel 91 +eingeholten Informationen unzureichend sind, oder + + +b)systemische Risiken auf Unionsebene von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko zu +ermitteln, insbesondere im Anschluss an eine qualifizierte Warnung des wissenschaftlichen Gremiums gemäß Artikel 90 +Absatz 1 Buchstabe a. + + +(2) Die Kommission kann beschließen, unabhängige Sachverständige zu benennen, die in ihrem Namen Bewertungen +durchführen, einschließlich aus dem gemäß Artikel 68 eingesetzten wissenschaftlichen Gremium. Die für diese Aufgabe +benannten unabhängigen Sachverständigen erfüllen die in Artikel 68 Absatz 2 umrissenen Kriterien. + + +(3) Für die Zwecke des Absatzes 1 kann die Kommission über API oder weitere geeignete technische Mittel und +Instrumente, einschließlich Quellcode, Zugang zu dem betreffenden KI-Modell mit allgemeinem Verwendungszweck +anfordern. + + +(4) In der Anforderung des Zugangs sind die Rechtsgrundlage, der Zweck und die Gründe für die Anforderung zu +nennen und die Frist für die Bereitstellung des Zugangs zu setzen und die Geldbußen gemäß Artikel 101 für den Fall, dass +der Zugang nicht bereitgestellt wird, anzugeben. + + +(5) Die Anbieter des betreffenden KI-Modells mit allgemeinem Verwendungszweck oder seine Vertreter stellen die +angeforderten Informationen zur Verfügung. Im Falle juristischer Personen, Gesellschaften oder — wenn der Anbieter keine +Rechtspersönlichkeit besitzt — die Personen, die nach Gesetz oder ihrer Satzung zur Vertretung dieser Personen befugt +sind, stellen den angeforderten Zugang im Namen des Anbieters des betreffenden KI-Modells mit allgemeinem +Verwendungszweck zur Verfügung. + + +(6) Die Kommission erlässt Durchführungsrechtsakte, in denen die detaillierten Regelungen und Voraussetzungen für die +Bewertungen, einschließlich der detaillierten Regelungen für die Einbeziehung unabhängiger Sachverständiger, und das +Verfahren für deren Auswahl festgelegt werden. Diese Durchführungsrechtsakte werden gemäß dem in Artikel 98 Absatz 2 +genannten Prüfverfahren erlassen. + + +(7) Bevor es den Zugang zu dem betreffenden KI-Modell mit allgemeinem Verwendungszweck anfordert, kann das Büro +für Künstliche Intelligenz einen strukturierten Dialog mit dem Anbieter des KI-Modells mit allgemeinem Verwendungs- +zweck einleiten, um mehr Informationen über die interne Erprobung des Modells, interne Vorkehrungen zur Vermeidung +systemischer Risiken und andere interne Verfahren und Maßnahmen, die der Anbieter zur Minderung dieser Risiken +ergriffen hat, einzuholen. + + +Artikel 93 + + +Befugnis zur Aufforderung zu Maßnahmen + + +(1) Soweit erforderlich und angemessen, kann die Kommission die Anbieter auffordern, + + +a)geeignete Maßnahmen zu ergreifen, um die Verpflichtungen gemäß den Artikeln 53 und 54 einzuhalten; + +# DE ABl. L vom 12.7. + +112/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +b)Risikominderungsmaßnahmen durchzuführen, wenn die gemäß Artikel 92 durchgeführte Bewertung zu ernsthaften und +begründeten Bedenken hinsichtlich eines systemischen Risikos auf Unionsebene geführt hat; + + +c) die Bereitstellung des Modells auf dem Markt einzuschränken, es zurückzunehmen oder zurückzurufen. + + +(2) Vor der Aufforderung zu einer Maßnahme kann das Büro für Künstliche Intelligenz einen strukturierten Dialog mit +dem Anbieter des KI-Modells mit allgemeinem Verwendungszweck einleiten. + + +(3) Wenn der Anbieter des KI-Modells mit allgemeinem Verwendungszweck im Rahmen des strukturierten Dialogs +gemäß Absatz 2 Verpflichtungszusagen zur Durchführung von Risikominderungsmaßnahmen, um einem systemischen +Risiko auf Unionsebene zu begegnen, anbietet, kann die Kommission diese Verpflichtungszusagen durch einen Beschluss für +bindend erklären und feststellen, dass es keinen weiteren Anlass zum Handeln gibt. + + +Artikel 94 + + +Verfahrensrechte der Wirtschaftsakteure des KI-Modells mit allgemeinem Verwendungszweck + + +Unbeschadet der in dieser Verordnung enthaltenen spezifischeren Verfahrensrechte gilt für die Anbieter des KI-Modells mit +allgemeinem Verwendungszweck Artikel 18 der Verordnung (EU) 2019/1020 sinngemäß. + + + diff --git a/addons/godot_llama/demo/documents/11.md b/addons/godot_llama/demo/documents/11.md new file mode 100644 index 0000000..19b5560 --- /dev/null +++ b/addons/godot_llama/demo/documents/11.md @@ -0,0 +1,103 @@ +KAPITEL X +VERHALTENSKODIZES UND LEITLINIEN + + +Artikel 95 + + +Verhaltenskodizes für die freiwillige Anwendung bestimmter Anforderungen + + +(1) Das Büro für Künstliche Intelligenz und die Mitgliedstaaten fördern und erleichtern die Aufstellung von +Verhaltenskodizes, einschließlich damit zusammenhängender Governance-Mechanismen, mit denen die freiwillige +Anwendung einiger oder aller der in Kapitel III Abschnitt 2 genannten Anforderungen auf KI-Systeme, die kein hohes +Risiko bergen, gefördert werden soll, wobei den verfügbaren technischen Lösungen und bewährten Verfahren der Branche, +die die Anwendung dieser Anforderungen ermöglichen, Rechnung zu tragen ist. + + +(2) Das Büro für Künstliche Intelligenz und die Mitgliedstaaten erleichtern die Aufstellung von Verhaltenskodizes in +Bezug auf die freiwillige Anwendung spezifischer Anforderungen auf alle KI-Systeme, einschließlich durch Betreiber, auf der +Grundlage klarer Zielsetzungen sowie wesentlicher Leistungsindikatoren zur Messung der Erfüllung dieser Zielsetzungen, +einschließlich unter anderem folgender Elemente: + + +a)in den Ethik-Leitlinien der Union für eine vertrauenswürdige KI enthaltene anwendbare Elemente; + + +b)Beurteilung und Minimierung der Auswirkungen von KI-Systemen auf die ökologische Nachhaltigkeit, einschließlich im +Hinblick auf energieeffizientes Programmieren, und Techniken, um KI effizient zu gestalten, zu trainieren und zu nutzen; + + +c) Förderung der KI-Kompetenz, insbesondere der von Personen, die mit der Entwicklung, dem Betrieb und der Nutzung +von KI befasst sind; + + +d)Erleichterung einer inklusiven und vielfältigen Gestaltung von KI-Systemen, unter anderem durch die Einsetzung +inklusiver und vielfältiger Entwicklungsteams und die Förderung der Beteiligung der Interessenträger an diesem Prozess; + + +e) Bewertung und Verhinderung der negativen Auswirkungen von KI-Systemen auf schutzbedürftige Personen oder +Gruppen schutzbedürftiger Personen, einschließlich im Hinblick auf die Barrierefreiheit für Personen mit Behinderungen, +sowie auf die Gleichstellung der Geschlechter. + + +(3) Verhaltenskodizes können von einzelnen KI-System-Anbietern oder -Betreibern oder von Interessenvertretungen +dieser Anbieter oder Betreiber oder von beiden aufgestellt werden, auch unter Einbeziehung von Interessenträgern sowie +deren Interessenvertretungen einschließlich Organisationen der Zivilgesellschaft und Hochschulen. Verhaltenskodizes +können sich auf ein oder mehrere KI-Systeme erstrecken, um ähnlichen Zweckbestimmungen der jeweiligen Systeme +Rechnung zu tragen. + + +(4) Das Büro für Künstliche Intelligenz und die Mitgliedstaaten berücksichtigen die besonderen Interessen und +Bedürfnisse von KMU, einschließlich Startups, bei der Förderung und Erleichterung der Aufstellung von Verhaltenskodizes. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 113/ + +Artikel 96 + + +Leitlinien der Kommission zur Durchführung dieser Verordnung + + +(1) Die Kommission erarbeitet Leitlinien für die praktische Umsetzung dieser Verordnung, die sich insbesondere auf +Folgendes beziehen: + + +a)die Anwendung der in den Artikeln 8 bis 15 und in Artikel 25 genannten Anforderungen und Pflichten; + + +b)die in Artikel 5 genannten verbotenen Praktiken; + + +c) die praktische Durchführung der Bestimmungen über wesentliche Veränderungen; + + +d)die praktische Umsetzung der Transparenzpflichten gemäß Artikel 50; + + +e) detaillierte Informationen über das Verhältnis dieser Verordnung zu den in Anhang I aufgeführten Harmonisierungs- +rechtsvorschriften der Union sowie zu anderen einschlägigen Rechtsvorschriften der Union, auch in Bezug auf deren +kohärente Durchsetzung; + + +f) die Anwendung der Definition eines KI-Systems gemäß Artikel 3 Nummer 1. + + +Wenn die Kommission solche Leitlinien herausgibt, widmet sie den Bedürfnissen von KMU einschließlich +Start-up-Unternehmen, von lokalen Behörden und von den am wahrscheinlichsten von dieser Verordnung betroffenen +Sektoren besondere Aufmerksamkeit. + + +Die Leitlinien gemäß Unterabsatz 1 dieses Absatzes tragen dem allgemein anerkannten Stand der Technik im Bereich KI +sowie den einschlägigen harmonisierten Normen und gemeinsamen Spezifikationen, auf die in den Artikeln 40 und 41 +Bezug genommen wird, oder den harmonisierten Normen oder technischen Spezifikationen, die gemäß den +Harmonisierungsrechtsvorschriften der Union festgelegt wurden, gebührend Rechnung. + + +(2) Auf Ersuchen der Mitgliedstaaten oder des Büros für Künstliche Intelligenz oder von sich aus aktualisiert die +Kommission früher verabschiedete Leitlinien, wenn es als notwendig erachtet wird. + + + diff --git a/addons/godot_llama/demo/documents/12.md b/addons/godot_llama/demo/documents/12.md new file mode 100644 index 0000000..050faed --- /dev/null +++ b/addons/godot_llama/demo/documents/12.md @@ -0,0 +1,66 @@ +KAPITEL XI + + +BEFUGNISÜBERTRAGUNG UND AUSSCHUSSVERFAHREN + + +Artikel 97 + + +Ausübung der Befugnisübertragung + + +(1) Die Befugnis zum Erlass delegierter Rechtsakte wird der Kommission unter den in diesem Artikel festgelegten +Bedingungen übertragen. + + +(2) Die in Artikel 6 Absätze 6 und 7, Artikel 7 Absätze 1 und 3, Artikel 11 Absatz 3, Artikel 43 Absätze 5 und 6, +Artikel 47 Absatz 5, Artikel 51 Absatz 3, Artikel 52 Absatz 4 sowie Artikel 53 Absätze 5 und 6 genannte Befugnis zum +Erlass delegierter Rechtsakte wird der Kommission für einen Zeitraum von fünf Jahren ab 1. August 2024 übertragen. Die +Kommission erstellt spätestens neun Monate vor Ablauf des Zeitraums von fünf Jahren einen Bericht über die +Befugnisübertragung. Die Befugnisübertragung verlängert sich stillschweigend um Zeiträume gleicher Länge, es sei denn, +das Europäische Parlament oder der Rat widersprechen einer solchen Verlängerung spätestens drei Monate vor Ablauf des +jeweiligen Zeitraums. + + +(3) Die Befugnisübertragung gemäß Artikel 6 Absätze 6 und 7, Artikel 7 Absätze 1 und 3, Artikel 11 Absatz 3, +Artikel 43 Absätze 5 und 6, Artikel 47 Absatz 5, Artikel 51 Absatz 3, Artikel 52 Absatz 4 sowie Artikel 53 Absätze 5 und +6 kann vom Europäischen Parlament oder vom Rat jederzeit widerrufen werden. Der Beschluss über den Widerruf beendet +die Übertragung der in jenem Beschluss angegebenen Befugnis. Er wird am Tag nach seiner Veröffentlichung im Amtsblatt +der Europäischen Union oder zu einem darin angegebenen späteren Zeitpunkt wirksam. Die Gültigkeit von delegierten +Rechtsakten, die bereits in Kraft sind, wird von dem Beschluss über den Widerruf nicht berührt. + + +(4) Vor dem Erlass eines delegierten Rechtsakts konsultiert die Kommission die von den einzelnen Mitgliedstaaten +benannten Sachverständigen im Einklang mit den in der Interinstitutionellen Vereinbarung vom 13. April 2016 über +bessere Rechtsetzung niedergelegten Grundsätzen. + +# DE ABl. L vom 12.7. + +114/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +(5) Sobald die Kommission einen delegierten Rechtsakt erlässt, übermittelt sie ihn gleichzeitig dem Europäischen +Parlament und dem Rat. + + +(6) Ein delegierter Rechtsakt, der nach Artikel 6 Absatz 6 oder 7, Artikel 7 Absatz 1 oder 3, Artikel 11 Absatz 3, +Artikel 43 Absatz 5 oder 6, Artikel 47 Absatz 5, Artikel 51 Absatz 3, Artikel 52 Absatz 4 sowie Artikel 53 Absatz 5 oder 6 +erlassen wurde, tritt nur in Kraft, wenn weder das Europäische Parlament noch der Rat innerhalb einer Frist von drei +Monaten nach Übermittlung jenes Rechtsakts an das Europäische Parlament und den Rat Einwände erhoben haben oder +wenn vor Ablauf dieser Frist das Europäische Parlament und der Rat beide der Kommission mitgeteilt haben, dass sie keine +Einwände erheben werden. Auf Initiative des Europäischen Parlaments oder des Rates wird diese Frist um drei Monate +verlängert. + + +Artikel 98 +Ausschussverfahren + + +(1) Die Kommission wird von einem Ausschuss unterstützt. Dieser Ausschuss ist ein Ausschuss im Sinne der Verordnung +(EU) Nr. 182/2011. + + +(2) Wird auf diesen Absatz Bezug genommen, so gilt Artikel 5 der Verordnung (EU) Nr. 182/2011. + + + diff --git a/addons/godot_llama/demo/documents/13.md b/addons/godot_llama/demo/documents/13.md new file mode 100644 index 0000000..b0e311f --- /dev/null +++ b/addons/godot_llama/demo/documents/13.md @@ -0,0 +1,271 @@ + +KAPITEL XII +SANKTIONEN + + +Artikel 99 + + +Sanktionen + + +(1) Entsprechend den Vorgaben dieser Verordnung erlassen die Mitgliedstaaten Vorschriften für Sanktionen und andere +Durchsetzungsmaßnahmen, zu denen auch Verwarnungen und nichtmonetäre Maßnahmen gehören können, die bei +Verstößen gegen diese Verordnung durch Akteure Anwendung finden, und ergreifen alle Maßnahmen, die für deren +ordnungsgemäße und wirksame Durchsetzung notwendig sind, wobei die von der Kommission gemäß Artikel 96 erteilten +Leitlinien zu berücksichtigen sind. Die vorgesehenen Sanktionen müssen wirksam, verhältnismäßig und abschreckend sein. +Sie berücksichtigen die Interessen von KMU, einschließlich Start-up-Unternehmen, sowie deren wirtschaftliches Überleben. + + +(2) Die Mitgliedstaaten teilen der Kommission die Vorschriften für Sanktionen und andere Durchsetzungsmaßnahmen +gemäß Absatz 1 unverzüglich und spätestens zum Zeitpunkt ihres Inkrafttretens mit und melden ihr unverzüglich etwaige +spätere Änderungen. + + +(3) Bei Missachtung des Verbots der in Artikel 5 genannten KI-Praktiken werden Geldbußen von bis zu 35 000 000 EUR +oder — im Falle von Unternehmen — von bis zu 7 % des gesamten weltweiten Jahresumsatzes des vorangegangenen +Geschäftsjahres verhängt, je nachdem, welcher Betrag höher ist. + + +(4) Für Verstöße gegen folgende für Akteure oder notifizierte Stellen geltende Bestimmungen, mit Ausnahme der in +Artikel 5 genannten, werden Geldbußen von bis zu 15 000 000 EUR oder — im Falle von Unternehmen — von bis zu 3 % +des gesamten weltweiten Jahresumsatzes des vorangegangenen Geschäftsjahres verhängt, je nachdem, welcher Betrag höher +ist: + + +a)Pflichten der Anbieter gemäß Artikel 16; + + +b)Pflichten der Bevollmächtigten gemäß Artikel 22; + + +c) Pflichten der Einführer gemäß Artikel 23; + + +d)Pflichten der Händler gemäß Artikel 24; + + +e) Pflichten der Betreiber gemäß Artikel 26; + + +f) für notifizierte Stellen geltende Anforderungen und Pflichten gemäß Artikel 31, Artikel 33 Absätze 1, 3 und 4 bzw. +Artikel 34; + + +g)Transparenzpflichten für Anbieter und Betreiber gemäß Artikel 50. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 115/ + + + +(5) Werden notifizierten Stellen oder zuständigen nationalen Behörden auf deren Auskunftsersuchen hin falsche, +unvollständige oder irreführende Informationen bereitgestellt, so werden Geldbußen von bis zu 7 500 000 EUR oder — im +Falle von Unternehmen — von bis zu 1 % des gesamten weltweiten Jahresumsatzes des vorangegangenen Geschäftsjahres +verhängt, je nachdem, welcher Betrag höher ist. + + +(6) Im Falle von KMU, einschließlich Start-up-Unternehmen, gilt für jede in diesem Artikel genannte Geldbuße der +jeweils niedrigere Betrag aus den in den Absätzen 3, 4 und 5 genannten Prozentsätzen oder Summen. + + +(7) Bei der Entscheidung, ob eine Geldbuße verhängt wird, und bei der Festsetzung der Höhe der Geldbuße werden in +jedem Einzelfall alle relevanten Umstände der konkreten Situation sowie gegebenenfalls Folgendes berücksichtigt: + + +a)Art, Schwere und Dauer des Verstoßes und seiner Folgen, unter Berücksichtigung des Zwecks des KI-Systems sowie +gegebenenfalls der Zahl der betroffenen Personen und des Ausmaßes des von ihnen erlittenen Schadens; + + +b)ob demselben Akteur bereits von anderen Marktüberwachungsbehörden für denselben Verstoß Geldbußen auferlegt +wurden; + + +c) ob demselben Akteur bereits von anderen Behörden für Verstöße gegen das Unionsrecht oder das nationale Recht +Geldbußen auferlegt wurden, wenn diese Verstöße auf dieselbe Handlung oder Unterlassung zurückzuführen sind, die +einen einschlägigen Verstoß gegen diese Verordnung darstellt; + + +d)Größe, Jahresumsatz und Marktanteil des Akteurs, der den Verstoß begangen hat; + + +e) jegliche anderen erschwerenden oder mildernden Umstände im jeweiligen Fall, wie etwa unmittelbar oder mittelbar +durch den Verstoß erlangte finanzielle Vorteile oder vermiedene Verluste; + + +f) Grad der Zusammenarbeit mit den zuständigen nationalen Behörden, um den Verstoß abzustellen und die möglichen +nachteiligen Auswirkungen des Verstoßes abzumildern; + + +g)Grad an Verantwortung des Akteurs unter Berücksichtigung der von ihm ergriffenen technischen und organisatorischen +Maßnahmen; + + +h)Art und Weise, wie der Verstoß den zuständigen nationalen Behörden bekannt wurde, insbesondere ob und +gegebenenfalls in welchem Umfang der Akteur den Verstoß gemeldet hat; + + +i) Vorsätzlichkeit oder Fahrlässigkeit des Verstoßes; + + +j) alle Maßnahmen, die der Akteur ergriffen hat, um den Schaden, der den betroffenen Personen zugefügt wird, zu +mindern. + + +(8) Jeder Mitgliedstaat erlässt Vorschriften darüber, in welchem Umfang gegen Behörden und öffentliche Stellen, die in +dem betreffenden Mitgliedstaat niedergelassen sind, Geldbußen verhängt werden können. + + +(9) In Abhängigkeit vom Rechtssystem der Mitgliedstaaten können die Vorschriften über Geldbußen je nach den dort +geltenden Regeln so angewandt werden, dass die Geldbußen von den zuständigen nationalen Gerichten oder von sonstigen +Stellen verhängt werden. Die Anwendung dieser Vorschriften in diesen Mitgliedstaaten muss eine gleichwertige Wirkung +haben. + + +(10) Die Ausübung der Befugnisse gemäß diesem Artikel muss angemessenen Verfahrensgarantien gemäß dem +Unionsrecht und dem nationalen Recht, einschließlich wirksamer gerichtlicher Rechtsbehelfe und ordnungsgemäßer +Verfahren, unterliegen. + + +(11) Die Mitgliedstaaten erstatten der Kommission jährlich Bericht über die Geldbußen, die sie in dem betreffenden Jahr +gemäß diesem Artikel verhängt haben, und über damit zusammenhängende Rechtsstreitigkeiten oder Gerichtsverfahren. + + +Artikel 100 + + +Verhängung von Geldbußen gegen Organe, Einrichtungen und sonstige Stellen der Union + + +(1) Der Europäische Datenschutzbeauftragte kann gegen Organe, Einrichtungen und sonstige Stellen der Union, die in +den Anwendungsbereich dieser Verordnung fallen, Geldbußen verhängen. Bei der Entscheidung, ob eine Geldbuße verhängt +wird, und bei der Festsetzung der Höhe der Geldbuße werden in jedem Einzelfall alle relevanten Umstände der konkreten +Situation sowie Folgendes gebührend berücksichtigt: + +# DE ABl. L vom 12.7. + +116/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +a)Art, Schwere und Dauer des Verstoßes und dessen Folgen, unter Berücksichtigung des Zwecks des betreffenden +KI-Systems sowie gegebenenfalls der Zahl der betroffenen Personen und des Ausmaßes des von ihnen erlittenen +Schadens; + + +b)Grad der Verantwortung des Organs, der Einrichtung oder der sonstigen Stelle der Union unter Berücksichtigung der von +diesem bzw. dieser ergriffenen technischen und organisatorischen Maßnahmen; + + +c) alle Maßnahmen, die das Organ, die Einrichtung oder die sonstige Stelle der Union zur Minderung des von den +betroffenen Personen erlittenen Schadens ergriffen hat; + + +d)das Maß der Zusammenarbeit mit dem Europäischen Datenschutzbeauftragten bei der Behebung des Verstoßes und der +Minderung seiner möglichen nachteiligen Auswirkungen, einschließlich der Befolgung von Maßnahmen, die der +Europäische Datenschutzbeauftragte dem Organ, der Einrichtung oder der sonstigen Stelle der Union im Hinblick auf +denselben Gegenstand zuvor bereits auferlegt hatte; + + +e) ähnliche frühere Verstöße des Organs, der Einrichtung oder der sonstigen Stelle der Union; + + +f) Art und Weise, wie der Verstoß dem Europäischen Datenschutzbeauftragten bekannt wurde, insbesondere ob und +gegebenenfalls in welchem Umfang das Organ, die Einrichtung oder die sonstige Stelle der Union den Verstoß gemeldet +hat; + + +g)der Jahreshaushalt des Organs, der Einrichtung oder der sonstigen Stelle der Union. + + +(2) Bei Missachtung des Verbots der in Artikel 5 genannten KI-Praktiken werden Geldbußen von bis zu 1 500 000 EUR +verhängt. + + +(3) Bei Nichtkonformität des KI-Systems mit in dieser Verordnung festgelegten Anforderungen oder Pflichten, mit +Ausnahme der in Artikel 5 festgelegten, werden Geldbußen von bis zu 750 000 EUR verhängt. + + +(4) Bevor der Europäische Datenschutzbeauftragte Entscheidungen nach dem vorliegenden Artikel trifft, gibt er dem +Organ, der Einrichtung oder der sonstigen Stelle der Union, gegen das bzw. die sich das von ihm geführte Verfahren richtet, +Gelegenheit, sich zum Vorwurf des Verstoßes zu äußern. Der Europäische Datenschutzbeauftragte stützt seine +Entscheidungen nur auf die Elemente und Umstände, zu denen sich die betreffenden Parteien äußern können. +Beschwerdeführer, soweit vorhanden, müssen in das Verfahren eng einbezogen werden. + + +(5) Die Verteidigungsrechte der betroffenen Parteien werden während des Verfahrens in vollem Umfang gewahrt. +Vorbehaltlich der legitimen Interessen von Einzelpersonen oder Unternehmen im Hinblick auf den Schutz ihrer +personenbezogenen Daten oder Geschäftsgeheimnisse haben die betroffenen Parteien Anspruch auf Einsicht in die +Unterlagen des Europäischen Datenschutzbeauftragten. + + +(6) Das Aufkommen aus den nach diesem Artikel verhängten Geldbußen trägt zum Gesamthaushalt der Union bei. Die +Geldbußen dürfen nicht den wirksamen Betrieb des Organs, der Einrichtung oder der sonstigen Stelle der Union +beeinträchtigen, dem bzw. der die Geldbuße auferlegt wurde. + + +(7) Der Europäische Datenschutzbeauftragte macht der Kommission jährlich Mitteilung über die Geldbußen, die er nach +Maßgabe dieses Artikels verhängt hat, und über die von ihm eingeleiteten Rechtsstreitigkeiten oder Gerichtsverfahren. + + +Artikel 101 + + +Geldbußen für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck + + +(1) Die Kommission kann gegen Anbieter von KI-Modellen mit allgemeinem Verwendungszweck Geldbußen von bis zu +3 % ihres gesamten weltweiten Jahresumsatzes im vorangegangenen Geschäftsjahr oder 15 000 000 EUR verhängen, je +nachdem, welcher Betrag höher ist, wenn sie feststellt, dass der Anbieter vorsätzlich oder fahrlässig + + +a)gegen die einschlägigen Bestimmungen dieser Verordnung verstoßen hat; + + +b)der Anforderung eines Dokuments oder von Informationen gemäß Artikel 91 nicht nachgekommen ist oder falsche, +unvollständige oder irreführende Informationen bereitgestellt hat; + + +c) einer gemäß Artikel 93 geforderten Maßnahme nicht nachgekommen ist; + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 117/ + + + +d)der Kommission keinen Zugang zu dem KI-Modell mit allgemeinem Verwendungszweck oder dem KI-Modell mit +allgemeinem Verwendungszweck mit systemischem Risiko gewährt hat, um eine Bewertung gemäß Artikel 92 +durchzuführen. + + +Bei der Festsetzung der Höhe der Geldbuße oder des Zwangsgelds wird der Art, der Schwere und der Dauer des Verstoßes +sowie den Grundsätzen der Verhältnismäßigkeit und der Angemessenheit gebührend Rechnung getragen. Die Kommission +berücksichtigt außerdem Verpflichtungen, die gemäß Artikel 93 Absatz 3 oder in den einschlägigen Praxisleitfäden nach +Artikel 56 gemacht wurden. + + +(2) Vor der Annahme einer Entscheidung nach Absatz 1 teilt die Kommission dem Anbieter des KI-Modells mit +allgemeinem Verwendungszweck ihre vorläufige Beurteilung mit und gibt ihm Gelegenheit, Stellung zu nehmen. + + +(3) Die gemäß diesem Artikel verhängten Geldbußen müssen wirksam, verhältnismäßig und abschreckend sein. + + +(4) Informationen über gemäß diesem Artikel verhängte Geldbußen werden gegebenenfalls dem KI-Gremium mitgeteilt. + + +(5) Der Gerichtshof der Europäischen Union hat die unbeschränkte Befugnis zur Überprüfung der Entscheidungen der +Kommission über die Festsetzung einer Geldbuße gemäß diesem Artikel. Er kann die verhängte Geldbuße aufheben, +herabsetzen oder erhöhen. + + +(6) Die Kommission erlässt Durchführungsrechtsakte mit detaillierten Regelungen und Verfahrensgarantien für die +Verfahren im Hinblick auf den möglichen Erlass von Beschlüssen gemäß Absatz 1 dieses Artikels. Diese Durchführungs- +rechtsakte werden gemäß dem in Artikel 98 Absatz 2 genannten Prüfverfahren erlassen. + + + + + diff --git a/addons/godot_llama/demo/documents/14.md b/addons/godot_llama/demo/documents/14.md new file mode 100644 index 0000000..dc1a254 --- /dev/null +++ b/addons/godot_llama/demo/documents/14.md @@ -0,0 +1,451 @@ +KAPITEL XIII +SCHLUSSBESTIMMUNGEN + + +Artikel 102 + + +Änderung der Verordnung (EG) Nr. 300/ + + +In Artikel 4 Absatz 3 der Verordnung (EG) Nr. 300/2008 wird folgender Unterabsatz angefügt: + + +„Beim Erlass detaillierter Maßnahmen, die technische Spezifikationen und Verfahren für die Genehmigung und den Einsatz +von Sicherheitsausrüstung betreffen, bei der auch Systeme der künstlichen Intelligenz im Sinne der Verordnung (EU) +2024/1689 des Europäischen Parlaments und des Rates (*) zum Einsatz kommen, werden die in Kapitel III Abschnitt 2 jener +Verordnung festgelegten Anforderungen berücksichtigt. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + + +Artikel 103 + + +Änderung der Verordnung (EU) Nr. 167/ + + +In Artikel 17 Absatz 5 der Verordnung (EU) Nr. 167/2013 wird folgender Unterabsatz angefügt: + + +„Beim Erlass delegierter Rechtsakte nach Unterabsatz 1, die sich auf Systeme der künstlichen Intelligenz beziehen, bei denen +es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates (*) +handelt, werden die in Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + +# DE ABl. L vom 12.7. + +118/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +Artikel 104 + + +Änderung der Verordnung (EU) Nr. 168/ + + +In Artikel 22 Absatz 5 der Verordnung (EU) Nr. 168/2013 wird folgender Unterabsatz angefügt: + + +„Beim Erlass delegierter Rechtsakte nach Unterabsatz 1, die sich auf Systeme der künstlichen Intelligenz beziehen, bei denen +es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates (*) +handelt, werden die in Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + + +Artikel 105 + + +Änderung der Richtlinie 2014/90/EU + + +In Artikel 8 der Richtlinie 2014/90/EU wird folgender Absatz angefügt: + + +„(5) Bei Systemen der künstlichen Intelligenz, bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) +2024/1689 des Europäischen Parlaments und des Rates (*) handelt, berücksichtigt die Kommission bei der Ausübung ihrer +Tätigkeiten nach Absatz 1 und bei Erlass technischer Spezifikationen und Prüfnormen nach den Absätzen 2 und 3 die in +Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + + +Artikel 106 + + +Änderung der Richtlinie (EU) 2016/ + + +In Artikel 5 der Richtlinie (EU) 2016/797 wird folgender Absatz angefügt: + + +„(12) Beim Erlass von delegierten Rechtsakten nach Absatz 1 und von Durchführungsrechtsakten nach Absatz 11, die +sich auf Systeme der künstlichen Intelligenz beziehen, bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung +(EU) 2024/1689 des Europäischen Parlaments und des Rates (*) handelt, werden die in Kapitel III Abschnitt 2 jener +Verordnung festgelegten Anforderungen berücksichtigt. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 119/ + + + +Artikel 107 + + +Änderung der Verordnung (EU) 2018/ + + +In Artikel 5 der Verordnung (EU) 2018/858 wird folgender Absatz angefügt: + + +„(4) Beim Erlass delegierter Rechtsakte nach Absatz 3, die sich auf Systeme der künstlichen Intelligenz beziehen, bei +denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 des Europäischen Parlaments und des +Rates (*) handelt, werden die in Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + + +Artikel 108 + + +Änderungen der Verordnung (EU) 2018/ + + +Die Verordnung (EU) 2018/1139 wird wie folgt geändert: + + +1.In Artikel 17 wird folgender Absatz angefügt: + + +„(3) Unbeschadet des Absatzes 2 werden beim Erlass von Durchführungsrechtsakten nach Absatz 1, die sich auf +Systeme der künstlichen Intelligenz beziehen, bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) +2024/1689 des Europäischen Parlaments und des Rates (*) handelt, die in Kapitel III Abschnitt 2 jener Verordnung +festgelegten Anforderungen berücksichtigt. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, +(EU) Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der +Richtlinien 2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, +2024/1689, 12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + + +2.In Artikel 19 wird folgender Absatz angefügt: + + +„(4) Beim Erlass delegierter Rechtsakte nach den Absätzen 1 und 2, die sich auf Systeme der künstlichen Intelligenz +beziehen, bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 handelt, werden die in +Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt.“ + + +3.In Artikel 43 wird folgender Absatz angefügt: + + +„(4) Beim Erlass von Durchführungsrechtsakten nach Absatz 1, die sich auf Systeme der künstlichen Intelligenz +beziehen, bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 handelt, werden die in +Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt.“ + + +4.In Artikel 47 wird folgender Absatz angefügt: + + +„(3) Beim Erlass delegierter Rechtsakte nach den Absätzen 1 und 2, die sich auf Systeme der künstlichen Intelligenz +beziehen, bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 handelt, werden die in +Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt.“ + + +5.In Artikel 57 wird folgender Unterabsatz angefügt: + + +„Beim Erlass solcher Durchführungsrechtsakte, die sich auf Systeme der künstlichen Intelligenz beziehen, bei denen es +sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 handelt, werden die in Kapitel III Abschnitt 2 +jener Verordnung festgelegten Anforderungen berücksichtigt.“ + +# DE ABl. L vom 12.7. + +120/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +6.In Artikel 58 wird folgender Absatz angefügt: + + +„(3) Beim Erlass delegierter Rechtsakte nach den Absätzen 1 und 2, die sich auf Systeme der künstlichen Intelligenz +beziehen, bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 handelt, werden die in +Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt.“ + + +Artikel 109 + + +Änderung der Verordnung (EU) 2019/ + + +In Artikel 11 der Verordnung (EU) 2019/2144 wird folgender Absatz angefügt: + + +„(3) Beim Erlass von Durchführungsrechtsakten nach Absatz 2, die sich auf Systeme der künstlichen Intelligenz beziehen, +bei denen es sich um Sicherheitsbauteile im Sinne der Verordnung (EU) 2024/1689 des Europäischen Parlaments und des +Rates (*) handelt, werden die in Kapitel III Abschnitt 2 jener Verordnung festgelegten Anforderungen berücksichtigt. + + +(*) Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + + +Artikel 110 + + +Änderung der Richtlinie (EU) 2020/ + + +In Anhang I der Richtlinie (EU) 2020/1828 des Europäischen Parlaments und des Rates (^58 ) wird die folgende Nummer +angefügt: + + +„68.Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung +harmonisierter Vorschriften für künstliche Intelligenz und zur Änderung der Verordnungen (EG) Nr. 300/2008, (EU) +Nr. 167/2013, (EU) Nr. 168/2013, (EU) 2018/858, (EU) 2018/1139 und (EU) 2019/2144 sowie der Richtlinien +2014/90/EU, (EU) 2016/797 und (EU) 2020/1828 (Verordnung über künstliche Intelligenz) (ABl. L, 2024/1689, +12.7.2024, ELI: http://data.europa.eu/eli/reg/2024/1689/oj).“ + + +Artikel 111 +Bereits in Verkehr gebrachte oder in Betrieb genommene KI-Systeme und bereits in Verkehr gebrachte KI-Modelle +mit allgemeinem Verwendungszweck + + +(1) Unbeschadet der Anwendung des Artikels 5 gemäß Artikel 113 Absatz 3 Buchstabe a werden KI-Systeme, bei denen +es sich um Komponenten von IT-Großsystemen handelt, die mit den in Anhang X aufgeführten Rechtsakten eingerichtet +wurden und vor dem 2. August 2027 in Verkehr gebracht oder in Betrieb genommen wurden, bis zum 31. Dezember 2030 +mit dieser Verordnung in Einklang gebracht. + + +Die in dieser Verordnung festgelegten Anforderungen werden bei der Bewertung jedes IT-Großsystems, das mit den in +Anhang X aufgeführten Rechtsakten eingerichtet wurde, berücksichtigt, wobei die Bewertung entsprechend den Vorgaben +der jeweiligen Rechtsakte und bei Ersetzung oder Änderung dieser Rechtsakte erfolgt. + + +(2) Unbeschadet der Anwendung des Artikels 5 gemäß Artikel 113 Absatz 3 Buchstabe a gilt diese Verordnung für +Betreiber von Hochrisiko-KI-Systemen — mit Ausnahme der in Absatz 1 des vorliegenden Artikels genannten Systeme —, +die vor dem 2. August 2026 in Verkehr gebracht oder in Betrieb genommen wurden, nur dann, wenn diese Systeme danach +in ihrer Konzeption erheblich verändert wurden. In jedem Fall treffen die Anbieter und Betreiber von Hochrisiko- +KI-Systemen, die bestimmungsgemäß von Behörden verwendet werden sollen, die erforderlichen Maßnahmen für die +Erfüllung der Anforderungen und Pflichten dieser Verordnung bis zum 2. August 2030. + + +(3) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck, die vor dem 2. August 2025 in Verkehr gebracht +wurden, treffen die erforderlichen Maßnahmen für die Erfüllung der in dieser Verordnung festgelegten Pflichten bis zum + +2. August 2027. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 121/ + + +(^58 ) Richtlinie (EU) 2020/1828 des Europäischen Parlaments und des Rates vom 25. November 2020 über Verbandsklagen zum Schutz +der Kollektivinteressen der Verbraucher und zur Aufhebung der Richtlinie 2009/22/EG (ABl. L 409 vom 4.12.2020, S. 1). + + + +Artikel 112 + + +Bewertung und Überprüfung + + +(1) Die Kommission prüft nach Inkrafttreten dieser Verordnung und bis zum Ende der Befugnisübertragung gemäß +Artikel 97 einmal jährlich, ob eine Änderung der Liste in Anhang III und der Liste der verbotenen Praktiken im KI-Bereich +gemäß Artikel 5 erforderlich ist. Die Kommission übermittelt die Ergebnisse dieser Bewertung dem Europäischen Parlament +und dem Rat. + + +(2) Bis zum 2. August 2028 und danach alle vier Jahre bewertet die Kommission Folgendes und erstattet dem +Europäischen Parlament und dem Rat Bericht darüber: + + +a)Notwendigkeit von Änderungen zur Erweiterung bestehender Bereiche oder zur Aufnahme neuer Bereiche in Anhang III: + + +b)Änderungen der Liste der KI-Systeme, die zusätzliche Transparenzmaßnahmen erfordern, in Artikel 50; + + +c) Änderungen zur Verbesserung der Wirksamkeit des Überwachungs- und Governance-Systems. + + +(3) Bis zum 2. August 2029 und danach alle vier Jahre legt die Kommission dem Europäischen Parlament und dem Rat +einen Bericht über die Bewertung und Überprüfung dieser Verordnung vor. Der Bericht enthält eine Beurteilung hinsichtlich +der Durchsetzungsstruktur und der etwaigen Notwendigkeit einer Agentur der Union zur Lösung der festgestellten Mängel. +Auf der Grundlage der Ergebnisse wird diesem Bericht gegebenenfalls ein Vorschlag zur Änderung dieser Verordnung +beigefügt. Die Berichte werden veröffentlicht. + + +(4) In den in Absatz 2 genannten Berichten wird insbesondere auf folgende Aspekte eingegangen: + + +a)Sachstand bezüglich der finanziellen, technischen und personellen Ressourcen der zuständigen nationalen Behörden im +Hinblick auf deren Fähigkeit, die ihnen auf der Grundlage dieser Verordnung übertragenen Aufgaben wirksam zu +erfüllen; + + +b)Stand der Sanktionen, insbesondere der Bußgelder nach Artikel 99 Absatz 1, die Mitgliedstaaten bei Verstößen gegen +diese Verordnung verhängt haben; + + +c) angenommene harmonisierte Normen und gemeinsame Spezifikationen, die zur Unterstützung dieser Verordnung +erarbeitet wurden; + + +d)Zahl der Unternehmen, die nach Inkrafttreten dieser Verordnung in den Markt eintreten, und wie viele davon KMU sind. + + +(5) Bis zum 2. August 2028 bewertet die Kommission die Arbeitsweise des Büros für Künstliche Intelligenz und prüft, ob +das Büro für Künstliche Intelligenz mit ausreichenden Befugnissen und Zuständigkeiten zur Erfüllung seiner Aufgaben +ausgestattet wurde, und ob es für die ordnungsgemäße Durchführung und Durchsetzung dieser Verordnung zweckmäßig +und erforderlich wäre, das Büro für Künstliche Intelligenz und seine Durchsetzungskompetenzen zu erweitern und seine +Ressourcen aufzustocken. Die Kommission übermittelt dem Europäischen Parlament und dem Rat einen Bericht über ihre +Bewertung. + + +(6) Bis zum 2. August 2028 und danach alle vier Jahre legt die Kommission einen Bericht über die Überprüfung der +Fortschritte bei der Entwicklung von Normungsdokumenten zur energieeffizienten Entwicklung von KI-Modellen mit +allgemeinem Verwendungszweck vor und beurteilt die Notwendigkeit weiterer Maßnahmen oder Handlungen, +einschließlich verbindlicher Maßnahmen oder Handlungen. Dieser Bericht wird dem Europäischen Parlament und dem +Rat vorgelegt und veröffentlicht. + + +(7) Bis zum 2. August 2028 und danach alle drei Jahre führt die Kommission eine Bewertung der Folgen und der +Wirksamkeit der freiwilligen Verhaltenskodizes durch, mit denen die Anwendung der in Kapitel III Abschnitt 2 festgelegten +Anforderungen an andere KI-Systeme als Hochrisiko-KI-Systeme und möglicherweise auch zusätzlicher Anforderungen an +andere KI-Systeme als Hochrisiko-KI-Systeme, auch in Bezug auf deren ökologische Nachhaltigkeit, gefördert werden soll. + + +(8) Für die Zwecke der Absätze 1 bis 7 übermitteln das KI-Gremium, die Mitgliedstaaten und die zuständigen nationalen +Behörden der Kommission auf Anfrage unverzüglich die gewünschten Informationen. + + +(9) Bei den in den Absätzen 1 bis 7 genannten Bewertungen und Überprüfungen berücksichtigt die Kommission die +Standpunkte und Feststellungen des KI-Gremiums, des Europäischen Parlaments, des Rates und anderer einschlägiger Stellen +oder Quellen. + +# DE ABl. L vom 12.7. + +122/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(10) Die Kommission legt erforderlichenfalls geeignete Vorschläge zur Änderung dieser Verordnung vor und +berücksichtigt dabei insbesondere technologische Entwicklungen, die Auswirkungen von KI-Systemen auf die Gesundheit +und Sicherheit und auf die Grundrechte und die Fortschritte in der Informationsgesellschaft. + + +(11) Als Orientierung für die in den Absätzen 1 bis 7 genannten Bewertungen und Überprüfungen entwickelt das Büro +für Künstliche Intelligenz ein Ziel und eine partizipative Methode für die Bewertung der Risikoniveaus anhand der in den +jeweiligen Artikeln genannten Kriterien und für die Einbeziehung neuer Systeme in + + +a)die Liste gemäß Anhang III, einschließlich der Erweiterung bestehender Bereiche oder der Aufnahme neuer Bereiche in +diesen Anhang; + + +b)die Liste der verbotenen Praktiken gemäß Artikel 5; und + + +c) die Liste der KI-Systeme, die zusätzliche Transparenzmaßnahmen erfordern, in Artikel 50. +(12) Eine Änderung dieser Verordnung im Sinne des Absatzes 10 oder entsprechende delegierte Rechtsakte oder +Durchführungsrechtsakte, die sektorspezifische Rechtsvorschriften für eine unionsweite Harmonisierung gemäß An- +hang I Abschnitt B betreffen, berücksichtigen die regulatorischen Besonderheiten des jeweiligen Sektors und die in der +Verordnung festgelegten bestehenden Governance-, Konformitätsbewertungs- und Durchsetzungsmechanismen und +-behörden. +(13) Bis zum 2. August 2031 nimmt die Kommission unter Berücksichtigung der ersten Jahre der Anwendung der +Verordnung eine Bewertung der Durchsetzung dieser Verordnung vor und erstattet dem Europäischen Parlament, dem Rat +und dem Europäischen Wirtschafts- und Sozialausschuss darüber Bericht. Auf Grundlage der Ergebnisse wird dem Bericht +gegebenenfalls ein Vorschlag zur Änderung dieser Verordnung beigefügt, der die Struktur der Durchsetzung und die +Notwendigkeit einer Agentur der Union für die Lösung festgestellter Mängel betrifft. + + +Artikel 113 + + +Inkrafttreten und Geltungsbeginn + + +Diese Verordnung tritt am zwanzigsten Tag nach ihrer Veröffentlichung im Amtsblatt der Europäischen Union in Kraft. + + +Sie gilt ab dem 2. August 2026. +Jedoch: + + +a)Die Kapitel I und II gelten ab dem 2. Februar 2025; + + +b)Kapitel III Abschnitt 4, Kapitel V, Kapitel VII und Kapitel XII sowie Artikel 78 gelten ab dem 2. August 2025, mit +Ausnahme des Artikels 101; + + +c) Artikel 6 Absatz 1 und die entsprechenden Pflichten gemäß dieser Verordnung gelten ab dem 2. August 2027. + + +Diese Verordnung ist in allen ihren Teilen verbindlich und gilt unmittelbar in jedem Mitgliedstaat. + + +Geschehen zu Brüssel am 13. Juni 2024. + + +Im Namen des Europäischen Parlaments +Die Präsidentin + + +R. METSOLA + + +Im Namen des Rates +Der Präsident + + +M. MICHEL + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 123/ + + diff --git a/addons/godot_llama/demo/documents/15.md b/addons/godot_llama/demo/documents/15.md new file mode 100644 index 0000000..6de0cbb --- /dev/null +++ b/addons/godot_llama/demo/documents/15.md @@ -0,0 +1,1095 @@ + +ANHANG I + + +Liste der Harmonisierungsrechtsvorschriften der Union + + +Abschnitt A — Liste der Harmonisierungsrechtsvorschriften der Union auf der Grundlage des neuen Rechtsrahmens + +1. Richtlinie 2006/42/EG des Europäischen Parlaments und des Rates vom 17. Mai 2006 über Maschinen und zur + Änderung der Richtlinie 95/16/EG (ABl. L 157 vom 9.6.2006, S. 24) +2. Richtlinie 2009/48/EG des Europäischen Parlaments und des Rates vom 18. Juni 2009 über die Sicherheit von + Spielzeug (ABl. L 170 vom 30.6.2009, S. 1) +3. Richtlinie 2013/53/EU des Europäischen Parlaments und des Rates vom 20. November 2013 über Sportboote und + Wassermotorräder und zur Aufhebung der Richtlinie 94/25/EG (ABl. L 354 vom 28.12.2013, S. 90) +4. Richtlinie 2014/33/EU des Europäischen Parlaments und des Rates vom 26. Februar 2014 zur Angleichung der + Rechtsvorschriften der Mitgliedstaaten über Aufzüge und Sicherheitsbauteile für Aufzüge (ABl. L 96 vom 29.3.2014, + S. 251) +5. Richtlinie 2014/34/EU des Europäischen Parlaments und des Rates vom 26. Februar 2014 zur Harmonisierung der + Rechtsvorschriften der Mitgliedstaaten für Geräte und Schutzsysteme zur bestimmungsgemäßen Verwendung in + explosionsgefährdeten Bereichen (ABl. L 96 vom 29.3.2014, S. 309) +6. Richtlinie 2014/53/EU des Europäischen Parlaments und des Rates vom 16. April 2014 über die Harmonisierung + der Rechtsvorschriften der Mitgliedstaaten über die Bereitstellung von Funkanlagen auf dem Markt und zur + Aufhebung der Richtlinie 1999/5/EG (ABl. L 153 vom 22.5.2014, S. 62) +7. Richtlinie 2014/68/EU des Europäischen Parlaments und des Rates vom 15. Mai 2014 zur Harmonisierung der + Rechtsvorschriften der Mitgliedstaaten über die Bereitstellung von Druckgeräten auf dem Markt (ABl. L 189 vom + 27.6.2014, S. 164) +8. Verordnung (EU) 2016/424 des Europäischen Parlaments und des Rates vom 9. März 2016 über Seilbahnen und zur + Aufhebung der Richtlinie 2000/9/EG (ABl. L 81 vom 31.3.2016, S. 1) +9. Verordnung (EU) 2016/425 des Europäischen Parlaments und des Rates vom 9. März 2016 über persönliche + Schutzausrüstungen und zur Aufhebung der Richtlinie 89/686/EWG des Rates (ABl. L 81 vom 31.3.2016, S. 51) +10. Verordnung (EU) 2016/426 des Europäischen Parlaments und des Rates vom 9. März 2016 über Geräte zur + Verbrennung gasförmiger Brennstoffe und zur Aufhebung der Richtlinie 2009/142/EG (ABl. L 81 vom 31.3.2016, + S. 99) +11. Verordnung (EU) 2017/745 des Europäischen Parlaments und des Rates vom 5. April 2017 über Medizinprodukte, + zur Änderung der Richtlinie 2001/83/EG, der Verordnung (EG) Nr. 178/2002 und der Verordnung (EG) + Nr. 1223/2009 und zur Aufhebung der Richtlinien 90/385/EWG und 93/42/EWG des Rates (ABl. L 117 vom + 5.5.2017, S. 1) +12. Verordnung (EU) 2017/746 des Europäischen Parlaments und des Rates vom 5. April 2017 über + In-vitro-Diagnostika und zur Aufhebung der Richtlinie 98/79/EG und des Beschlusses 2010/227/EU der + Kommission (ABl. L 117 vom 5.5.2017, S. 176) + + +Abschnitt B — Liste anderer Harmonisierungsrechtsvorschriften der Union + +13. Verordnung (EG) Nr. 300/2008 des Europäischen Parlaments und des Rates vom 11. März 2008 über gemeinsame + Vorschriften für die Sicherheit in der Zivilluftfahrt und zur Aufhebung der Verordnung (EG) Nr. 2320/2002 (ABl. + L 97 vom 9.4.2008, S. 72) +14. Verordnung (EU) Nr. 168/2013 des Europäischen Parlaments und des Rates vom 15. Januar 2013 über die + Genehmigung und Marktüberwachung von zwei- oder dreirädrigen und vierrädrigen Fahrzeugen (ABl. L 60 vom + 2.3.2013, S. 52) +15. Verordnung (EU) Nr. 167/2013 des Europäischen Parlaments und des Rates vom 5. Februar 2013 über die + Genehmigung und Marktüberwachung von land- und forstwirtschaftlichen Fahrzeugen (ABl. L 60 vom 2.3.2013, + S. 1) + +# DE ABl. L vom 12.7. + +124/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +16. Richtlinie 2014/90/EU des Europäischen Parlaments und des Rates vom 23. Juli 2014 über Schiffsausrüstung und + zur Aufhebung der Richtlinie 96/98/EG des Rates (ABl. L 257 vom 28.8.2014, S. 146) +17. Richtlinie (EU) 2016/797 des Europäischen Parlaments und des Rates vom 11. Mai 2016 über die Interoperabilität + des Eisenbahnsystems in der Europäischen Union (ABl. L 138 vom 26.5.2016, S. 44) +18. Verordnung (EU) 2018/858 des Europäischen Parlaments und des Rates vom 30. Mai 2018 über die Genehmigung + und die Marktüberwachung von Kraftfahrzeugen und Kraftfahrzeuganhängern sowie von Systemen, Bauteilen und + selbstständigen technischen Einheiten für diese Fahrzeuge, zur Änderung der Verordnungen (EG) Nr. 715/2007 und + (EG) Nr. 595/2009 und zur Aufhebung der Richtlinie 2007/46/EG (ABl. L 151 vom 14.6.2018, S. 1) +19. Verordnung (EU) 2019/2144 des Europäischen Parlaments und des Rates vom 27. November 2019 über die + Typgenehmigung von Kraftfahrzeugen und Kraftfahrzeuganhängern sowie von Systemen, Bauteilen und + selbstständigen technischen Einheiten für diese Fahrzeuge im Hinblick auf ihre allgemeine Sicherheit und den + Schutz der Fahrzeuginsassen und von ungeschützten Verkehrsteilnehmern, zur Änderung der Verordnung (EU) + 2018/858 des Europäischen Parlaments und des Rates und zur Aufhebung der Verordnungen (EG) Nr. 78/2009, + (EG) Nr. 79/2009 und (EG) Nr. 661/2009 des Europäischen Parlaments und des Rates sowie der Verordnungen (EG) + Nr. 631/2009, (EU) Nr. 406/2010, (EU) Nr. 672/2010, (EU) Nr. 1003/2010, (EU) Nr. 1005/2010, (EU) + Nr. 1008/2010, (EU) Nr. 1009/2010, (EU) Nr. 19/2011, (EU) Nr. 109/2011, (EU) Nr. 458/2011, (EU) Nr. 65/2012, + (EU) Nr. 130/2012, (EU) Nr. 347/2012, (EU) Nr. 351/2012, (EU) Nr. 1230/2012 und (EU) 2015/166 der + Kommission (ABl. L 325 vom 16.12.2019, S. 1) +20. Verordnung (EU) 2018/1139 des Europäischen Parlaments und des Rates vom 4. Juli 2018 zur Festlegung + gemeinsamer Vorschriften für die Zivilluftfahrt und zur Errichtung einer Agentur der Europäischen Union für + Flugsicherheit sowie zur Änderung der Verordnungen (EG) Nr. 2111/2005, (EG) Nr. 1008/2008, (EU) Nr. 996/2010, + (EU) Nr. 376/2014 und der Richtlinien 2014/30/EU und 2014/53/EU des Europäischen Parlaments und des Rates, + und zur Aufhebung der Verordnungen (EG) Nr. 552/2004 und (EG) Nr. 216/2008 des Europäischen Parlaments und + des Rates und der Verordnung (EWG) Nr. 3922/91 des Rates (ABl. L 212 vom 22.8.2018, S. 1), insoweit die + Konstruktion, Herstellung und Vermarktung von Luftfahrzeugen gemäß Artikel 2 Absatz 1 Buchstaben a und b in + Bezug auf unbemannte Luftfahrzeuge sowie deren Motoren, Propeller, Teile und Ausrüstung zur Fernsteuerung + betroffen sind + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 125/ + + + +ANHANG II + + +Liste der Straftaten gemäß Artikel 5 Absatz 1 Unterabsatz 1 Buchstabe h Ziffer iii + + +Straftaten gemäß Artikel 5 Absatz 1 Unterabsatz 1 Buchstabe h Ziffer iii: + + +—Terrorismus, + + +—Menschenhandel, + + +—sexuelle Ausbeutung von Kindern und Kinderpornografie, + + +—illegaler Handel mit Drogen oder psychotropen Stoffen, + + +—illegaler Handel mit Waffen, Munition oder Sprengstoffen, + + +—Mord, schwere Körperverletzung, + + +—illegaler Handel mit menschlichen Organen oder menschlichem Gewebe, +—illegaler Handel mit nuklearen oder radioaktiven Substanzen, + + +—Entführung, Freiheitsberaubung oder Geiselnahme, + + +—Verbrechen, die in die Zuständigkeit des Internationalen Strafgerichtshofs fallen, + + +—Flugzeug- oder Schiffsentführung, + + +—Vergewaltigung, + + +—Umweltkriminalität, + + +—organisierter oder bewaffneter Raub, + + +—Sabotage, + + +—Beteiligung an einer kriminellen Vereinigung, die an einer oder mehreren der oben genannten Straftaten beteiligt ist. + +# DE ABl. L vom 12.7. + +126/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +ANHANG III + + +Hochrisiko-KI-Systeme gemäß Artikel 6 Absatz 2 + + +Als Hochrisiko-KI-Systeme gemäß Artikel 6 Absatz 2 gelten die in folgenden Bereichen aufgeführten KI-Systeme: + +1. Biometrie, soweit ihr Einsatz nach einschlägigem Unionsrecht oder nationalem Recht zugelassen ist: + + +a)biometrische Fernidentifizierungssysteme. + + +Dazu gehören nicht KI-Systeme, die bestimmungsgemäß für die biometrische Verifizierung, deren einziger Zweck +darin besteht, zu bestätigen, dass eine bestimmte natürliche Person die Person ist, für die sie sich ausgibt, +verwendet werden sollen; + + +b)KI-Systeme, die bestimmungsgemäß für die biometrische Kategorisierung nach sensiblen oder geschützten +Attributen oder Merkmalen auf der Grundlage von Rückschlüssen auf diese Attribute oder Merkmale verwendet +werden sollen; + + +c) KI-Systeme, die bestimmungsgemäß zur Emotionserkennung verwendet werden sollen. + +2. Kritische Infrastruktur: KI-Systeme, die bestimmungsgemäß als Sicherheitsbauteile im Rahmen der Verwaltung und + des Betriebs kritischer digitaler Infrastruktur, des Straßenverkehrs oder der Wasser-, Gas-, Wärme- oder + Stromversorgung verwendet werden sollen +3. Allgemeine und berufliche Bildung + + +a)KI-Systeme, die bestimmungsgemäß zur Feststellung des Zugangs oder der Zulassung oder zur Zuweisung +natürlicher Personen zu Einrichtungen aller Ebenen der allgemeinen und beruflichen Bildung verwendet werden +sollen; + + +b)KI-Systeme, die bestimmungsgemäß für die Bewertung von Lernergebnissen verwendet werden sollen, +einschließlich des Falles, dass diese Ergebnisse dazu dienen, den Lernprozess natürlicher Personen in +Einrichtungen oder Programmen aller Ebenen der allgemeinen und beruflichen Bildung zu steuern; + + +c) KI-Systeme, die bestimmungsgemäß zum Zweck der Bewertung des angemessenen Bildungsniveaus, das eine +Person im Rahmen von oder innerhalb von Einrichtungen aller Ebenen der allgemeinen und beruflichen Bildung +erhalten wird oder zu denen sie Zugang erhalten wird, verwendet werden sollen; + + +d)KI-Systeme, die bestimmungsgemäß zur Überwachung und Erkennung von verbotenem Verhalten von Schülern +bei Prüfungen im Rahmen von oder innerhalb von Einrichtungen aller Ebenen der allgemeinen und beruflichen +Bildung verwendet werden sollen. + +4. Beschäftigung, Personalmanagement und Zugang zur Selbstständigkeit + + +a)KI-Systeme, die bestimmungsgemäß für die Einstellung oder Auswahl natürlicher Personen verwendet werden +sollen, insbesondere um gezielte Stellenanzeigen zu schalten, Bewerbungen zu sichten oder zu filtern und +Bewerber zu bewerten; + + +b)KI-Systeme, die bestimmungsgemäß für Entscheidungen, die die Bedingungen von Arbeitsverhältnissen, +Beförderungen und Kündigungen von Arbeitsvertragsverhältnissen beeinflussen, für die Zuweisung von +Aufgaben aufgrund des individuellen Verhaltens oder persönlicher Merkmale oder Eigenschaften oder für die +Beobachtung und Bewertung der Leistung und des Verhaltens von Personen in solchen Beschäftigungsverhält- +nissen verwendet werden soll. + +5. Zugänglichkeit und Inanspruchnahme grundlegender privater und grundlegender öffentlicher Dienste und + Leistungen: + + +a)KI-Systeme, die bestimmungsgemäß von Behörden oder im Namen von Behörden verwendet werden sollen, um +zu beurteilen, ob natürliche Personen Anspruch auf grundlegende öffentliche Unterstützungsleistungen und +-dienste, einschließlich Gesundheitsdiensten, haben und ob solche Leistungen und Dienste zu gewähren, +einzuschränken, zu widerrufen oder zurückzufordern sind; + + +b)KI-Systeme, die bestimmungsgemäß für die Kreditwürdigkeitsprüfung und Bonitätsbewertung natürlicher +Personen verwendet werden sollen, mit Ausnahme von KI-Systemen, die zur Aufdeckung von Finanzbetrug +verwendet werden; + + +c) KI-Systeme, die bestimmungsgemäß für die Risikobewertung und Preisbildung in Bezug auf natürliche Personen +im Fall von Lebens- und Krankenversicherungen verwendet werden sollen; + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 127/ + + + +d)KI-Systeme, die bestimmungsgemäß zur Bewertung und Klassifizierung von Notrufen von natürlichen Personen +oder für die Entsendung oder Priorisierung des Einsatzes von Not- und Rettungsdiensten, einschließlich Polizei, +Feuerwehr und medizinischer Nothilfe, sowie für Systeme für die Triage von Patienten bei der Notfallversorgung +verwendet werden sollen. + +6. Strafverfolgung, soweit ihr Einsatz nach einschlägigem Unionsrecht oder nationalem Recht zugelassen ist: + + +a)KI-Systeme, die bestimmungsgemäß von Strafverfolgungsbehörden oder in deren Namen oder von Organen, +Einrichtungen und sonstigen Stellen der Union zur Unterstützung von Strafverfolgungsbehörden oder in deren +Namen zur Bewertung des Risikos einer natürlichen Person, zum Opfer von Straftaten zu werden, verwendet +werden sollen; + + +b)KI-Systeme, die bestimmungsgemäß von Strafverfolgungsbehörden oder in deren Namen oder von Organen, +Einrichtungen und sonstigen Stellen der Union zur Unterstützung von Strafverfolgungsbehörden als +Lügendetektoren oder ähnliche Instrumente verwendet werden sollen; + + +c) KI-Systeme, die bestimmungsgemäß von Strafverfolgungsbehörden oder in deren Namen oder von Organen, +Einrichtungen und sonstigen Stellen der Union zur Unterstützung von Strafverfolgungsbehörden zur Bewertung +der Verlässlichkeit von Beweismitteln im Zuge der Ermittlung oder Verfolgung von Straftaten verwendet werden +sollen; + + +d)KI-Systeme, die bestimmungsgemäß von Strafverfolgungsbehörden oder in deren Namen oder von Organen, +Einrichtungen und sonstigen Stellen der Union zur Unterstützung von Strafverfolgungsbehörden zur Bewertung +des Risikos, dass eine natürliche Person eine Straftat begeht oder erneut begeht, nicht nur auf der Grundlage der +Erstellung von Profilen natürlicher Personen gemäß Artikel 3 Absatz 4 der Richtlinie (EU) 2016/680 oder zur +Bewertung persönlicher Merkmale und Eigenschaften oder vergangenen kriminellen Verhaltens von natürlichen +Personen oder Gruppen verwendet werden sollen; + + +e) KI-Systeme, die bestimmungsgemäß von Strafverfolgungsbehörden oder in deren Namen oder von Organen, +Einrichtungen und sonstigen Stellen der Union zur Unterstützung von Strafverfolgungsbehörden zur Erstellung +von Profilen natürlicher Personen gemäß Artikel 3 Absatz 4 der Richtlinie (EU) 2016/680 im Zuge der +Aufdeckung, Ermittlung oder Verfolgung von Straftaten verwendet werden sollen. + +7. Migration, Asyl und Grenzkontrolle, soweit ihr Einsatz nach einschlägigem Unionsrecht oder nationalem Recht + zugelassen ist: + + +a)KI-Systeme, die bestimmungsgemäß von zuständigen Behörden oder in deren Namen oder Organen, +Einrichtungen und sonstigen Stellen der Union als Lügendetektoren verwendet werden sollen oder ähnliche +Instrumente; + + +b)KI-Systeme, die bestimmungsgemäß von zuständigen Behörden oder in deren Namen oder von Organen, +Einrichtungen und sonstigen Stellen der Union zur Bewertung eines Risikos verwendet werden sollen, +einschließlich eines Sicherheitsrisikos, eines Risikos der irregulären Einwanderung oder eines Gesundheitsrisikos, +das von einer natürlichen Person ausgeht, die in das Hoheitsgebiet eines Mitgliedstaats einzureisen beabsichtigt +oder eingereist ist; + + +c) KI-Systeme, die bestimmungsgemäß von zuständigen Behörden oder in deren Namen oder von Organen, +Einrichtungen und sonstigen Stellen der Union verwendet werden sollen, um zuständige Behörden bei der +Prüfung von Asyl- und Visumanträgen sowie Aufenthaltstiteln und damit verbundenen Beschwerden im Hinblick +auf die Feststellung der Berechtigung der den Antrag stellenden natürlichen Personen, einschließlich damit +zusammenhängender Bewertungen der Verlässlichkeit von Beweismitteln, zu unterstützen; + + +d)KI-Systeme, die bestimmungsgemäß von oder im Namen der zuständigen Behörden oder Organen, Einrichtungen +und sonstigen Stellen der Union, im Zusammenhang mit Migration, Asyl oder Grenzkontrolle zum Zwecke der +Aufdeckung, Anerkennung oder Identifizierung natürlicher Personen verwendet werden sollen, mit Ausnahme +der Überprüfung von Reisedokumenten. + +8. Rechtspflege und demokratische Prozesse + + +a)KI-Systeme, die bestimmungsgemäß von einer oder im Namen einer Justizbehörde verwendet werden sollen, um +eine Justizbehörde bei der Ermittlung und Auslegung von Sachverhalten und Rechtsvorschriften und bei der +Anwendung des Rechts auf konkrete Sachverhalte zu unterstützen, oder die auf ähnliche Weise für die alternative +Streitbeilegung genutzt werden sollen; + +# DE ABl. L vom 12.7. + +128/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +b)KI-Systeme, die bestimmungsgemäß verwendet werden sollen, um das Ergebnis einer Wahl oder eines +Referendums oder das Wahlverhalten natürlicher Personen bei der Ausübung ihres Wahlrechts bei einer Wahl +oder einem Referendum zu beeinflussen. Dazu gehören nicht KI-Systeme, deren Ausgaben natürliche Personen +nicht direkt ausgesetzt sind, wie Instrumente zur Organisation, Optimierung oder Strukturierung politischer +Kampagnen in administrativer oder logistischer Hinsicht. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 129/ + + + +ANHANG IV + + +Technische Dokumentation gemäß Artikel 11 Absatz 1 + + +Die in Artikel 11 Absatz 1 genannte technische Dokumentation muss mindestens die folgenden Informationen enthalten, +soweit sie für das betreffende KI-System von Belang sind: + +1. Allgemeine Beschreibung des KI-Systems, darunter + + +a)Zweckbestimmung, Name des Anbieters und Version des Systems mit Angaben dazu, in welcher Beziehung sie +zu vorherigen Versionen steht; + + +b)gegebenenfalls Interaktion oder Verwendung des KI-Systems mit Hardware oder Software, einschließlich anderer +KI-Systeme, die nicht Teil des KI-Systems selbst sind; + + +c) Versionen der betreffenden Software oder Firmware und etwaige Anforderungen in Bezug auf Aktualisierungen +der Versionen; + + +d)Beschreibung aller Formen, in denen das KI-System in Verkehr gebracht oder in Betrieb genommen wird, zum +Beispiel in Hardware eingebettete Softwarepakete, Herunterladen oder API; + + +e) Beschreibung der Hardware, auf der das KI-System betrieben werden soll; + + +f) falls das KI-System Bestandteil von Produkten ist: Fotografien oder Abbildungen, die äußere Merkmale, die +Kennzeichnungen und den inneren Aufbau dieser Produkte zeigen; + + +g)eine grundlegende Beschreibung der Benutzerschnittstelle, die dem Betreiber zur Verfügung gestellt wird; + + +h)Betriebsanleitungen für den Betreiber und gegebenenfalls eine grundlegende Beschreibung der dem Betreiber zur +Verfügung gestellten Benutzerschnittstelle; + +2. Detaillierte Beschreibung der Bestandteile des KI-Systems und seines Entwicklungsprozesses, darunter + + +a)Methoden und Schritte zur Entwicklung des KI-Systems, gegebenenfalls einschließlich des Einsatzes von durch +Dritte bereitgestellten vortrainierten Systemen oder Instrumenten, und wie diese vom Anbieter verwendet, +integriert oder verändert wurden; + + +b)Entwurfsspezifikationen des Systems, insbesondere die allgemeine Logik des KI-Systems und der Algorithmen; +die wichtigsten Entwurfsentscheidungen mit den Gründen und getroffenen Annahmen, einschließlich in Bezug +auf Personen oder Personengruppen, bezüglich deren das System angewandt werden soll; hauptsächliche +Einstufungsentscheidungen; was das System optimieren soll und welche Bedeutung den verschiedenen +Parametern dabei zukommt; Beschreibung der erwarteten Ausgabe des Systems und der erwarteten Qualität +dieser Ausgabe; die über mögliche Kompromisse in Bezug auf die technischen Lösungen, mit denen die in +Kapitel III Abschnitt 2 festgelegten Anforderungen erfüllt werden sollen, getroffenen Entscheidungen; + + +c) Beschreibung der Systemarchitektur, aus der hervorgeht, wie Softwarekomponenten aufeinander aufbauen oder +einander zuarbeiten und in die Gesamtverarbeitung integriert sind; zum Entwickeln, Trainieren, Testen und +Validieren des KI-Systems verwendete Rechenressourcen; + + +d)gegebenenfalls Datenanforderungen in Form von Datenblättern, in denen die Trainingsmethoden und -techniken +und die verwendeten Trainingsdatensätze beschrieben werden, einschließlich einer allgemeinen Beschreibung +dieser Datensätze sowie Informationen zu deren Herkunft, Umfang und Hauptmerkmalen; Angaben zur +Beschaffung und Auswahl der Daten; Kennzeichnungsverfahren (zum Beispiel für überwachtes Lernen) und +Datenbereinigungsmethoden (zum Beispiel Erkennung von Ausreißern); + + +e) Bewertung der nach Artikel 14 erforderlichen Maßnahmen der menschlichen Aufsicht, mit einer Bewertung der +technischen Maßnahmen, die erforderlich sind, um den Betreibern gemäß Artikel 13 Absatz 3 Buchstabe d die +Interpretation der Ausgaben von KI-Systemen zu erleichtern; + + +f) gegebenenfalls detaillierte Beschreibung der vorab bestimmten Änderungen an dem KI-System und seiner +Leistung mit allen einschlägigen Informationen zu den technischen Lösungen, mit denen sichergestellt wird, dass +das KI-System die einschlägigen in Kapitel III Abschnitt 2 festgelegten Anforderungen weiterhin dauerhaft erfüllt; + + +g)verwendete Validierungs- und Testverfahren, mit Informationen zu den verwendeten Validierungs- und Testdaten +und deren Hauptmerkmalen; Parameter, die zur Messung der Genauigkeit, Robustheit und der Erfüllung anderer +einschlägiger Anforderungen nach Kapitel III Abschnitt 2 sowie potenziell diskriminierender Auswirkungen +verwendet werden; Testprotokolle und alle von den verantwortlichen Personen datierten und unterzeichneten +Testberichte, auch in Bezug auf die unter Buchstabe f genannten vorab bestimmten Änderungen; + +# DE ABl. L vom 12.7. + +130/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +h)ergriffene Cybersicherheitsmaßnahmen; + +3. Detaillierte Informationen über die Überwachung, Funktionsweise und Kontrolle des KI-Systems, insbesondere in + Bezug auf Folgendes: die Fähigkeiten und Leistungsgrenzen des Systems, einschließlich der Genauigkeitsgrade bei + bestimmten Personen oder Personengruppen, auf die es bestimmungsgemäß angewandt werden soll, sowie des in + Bezug auf seine Zweckbestimmung insgesamt erwarteten Maßes an Genauigkeit; angesichts der Zweckbestimmung + des KI-Systems vorhersehbare unbeabsichtigte Ergebnisse und Quellen von Risiken in Bezug auf Gesundheit und + Sicherheit sowie Grundrechte und Diskriminierung; die nach Artikel 14 erforderlichen Maßnahmen der + menschlichen Aufsicht, einschließlich der technischen Maßnahmen, die getroffen wurden, um den Betreibern die + Interpretation der Ausgaben von KI-Systemen zu erleichtern; gegebenenfalls Spezifikationen zu Eingabedaten; +4. Darlegungen zur Eignung der Leistungskennzahlen für das spezifische KI-System; +5. Detaillierte Beschreibung des Risikomanagementsystems gemäß Artikel 9; +6. Beschreibung einschlägiger Änderungen, die der Anbieter während des Lebenszyklus an dem System vorgenommen + hat; +7. Aufstellung der vollständig oder teilweise angewandten harmonisierten Normen, deren Fundstellen im Amtsblatt der + Europäischen Union veröffentlicht wurden; falls keine solchen harmonisierten Normen angewandt wurden, eine + detaillierte Beschreibung der Lösungen, mit denen die in Kapitel III Abschnitt 2 festgelegten Anforderungen erfüllt + werden sollen, mit einer Aufstellung anderer angewandter einschlägiger Normen und technischer Spezifikationen; +8. Kopie der EU-Konformitätserklärung gemäß Artikel 47; +9. Detaillierte Beschreibung des Systems zur Bewertung der Leistung des KI-Systems in der Phase nach dem + Inverkehrbringen gemäß Artikel 72, einschließlich des in Artikel 72 Absatz 3 genannten Plans für die Beobachtung + nach dem Inverkehrbringen + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 131/ + + + +ANHANG V + + +EU-Konformitätserklärung + + +Die EU-Konformitätserklärung gemäß Artikel 47 enthält alle folgenden Angaben: + +1. Name und Art des KI-Systems und etwaige zusätzliche eindeutige Angaben, die die Identifizierung und + Rückverfolgbarkeit des KI-Systems ermöglichen; +2. Name und Anschrift des Anbieters und gegebenenfalls seines Bevollmächtigten; +3. Erklärung darüber, dass der Anbieter die alleinige Verantwortung für die Ausstellung der EU-Konformitätserklärung + gemäß Artikel 47 trägt; +4. Versicherung, dass das betreffende KI-System der vorliegenden Verordnung sowie gegebenenfalls weiteren + einschlägigen Rechtsvorschriften der Union, in denen die Ausstellung der EU-Konformitätserklärung gemäß + Artikel 47 vorgesehen ist, entspricht; +5. wenn ein KI-System die Verarbeitung personenbezogener Daten erfordert, eine Erklärung darüber, dass das + KI-System den Verordnungen (EU) 2016/679 und (EU) 2018/1725 sowie der Richtlinie (EU) 2016/680 entspricht; +6. Verweise auf die verwendeten einschlägigen harmonisierten Normen oder sonstigen gemeinsamen Spezifikationen, + für die die Konformität erklärt wird; +7. gegebenenfalls Name und Identifizierungsnummer der notifizierten Stelle, Beschreibung des durchgeführten + Konformitätsbewertungsverfahrens und Identifizierungsnummer der ausgestellten Bescheinigung; +8. Ort und Datum der Ausstellung der Erklärung, den Namen und die Funktion des Unterzeichners sowie Angabe, für + wen oder in wessen Namen diese Person unterzeichnet hat, eine Unterschrift. + +# DE ABl. L vom 12.7. + +132/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +ANHANG VI + + +Konformitätsbewertungsverfahren auf der Grundlage einer internen Kontrolle + +1. Das Konformitätsbewertungsverfahren auf der Grundlage einer internen Kontrolle ist das Konformitätsbewertungs- + verfahren gemäß den Nummern 2, 3 und 4. +2. Der Anbieter überprüft, ob das bestehende Qualitätsmanagementsystem den Anforderungen des Artikels 17 + entspricht. +3. Der Anbieter prüft die in der technischen Dokumentation enthaltenen Informationen, um zu beurteilen. ob das + KI-System den einschlägigen grundlegenden Anforderungen in Kapitel III Abschnitt 2 entspricht. +4. Der Anbieter überprüft ferner, ob der Entwurfs- und Entwicklungsprozess des KI-Systems und seine Beobachtung + nach dem Inverkehrbringen gemäß Artikel 72 mit der technischen Dokumentation im Einklang stehen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 133/ + + + +ANHANG VII + + +Konformität auf der Grundlage einer Bewertung des Qualitätsmanagementsystems und einer +Bewertung der technischen Dokumentation + +1. Einleitung + + +Die Konformität auf der Grundlage einer Bewertung des Qualitätsmanagementsystems und einer Bewertung der +technischen Dokumentation entspricht dem Konformitätsbewertungsverfahren gemäß den Nummern 2 bis 5. + +2. Überblick + + +Das genehmigte Qualitätsmanagementsystem für die Konzeption, die Entwicklung und das Testen von KI-Systemen +nach Artikel 17 wird gemäß Nummer 3 geprüft und unterliegt der Überwachung gemäß Nummer 5. Die technische +Dokumentation des KI-Systems wird gemäß Nummer 4 geprüft. + +3. Qualitätsmanagementsystem + + +3.1. Der Antrag des Anbieters muss Folgendes enthalten: + + +a)Name und Anschrift des Anbieters sowie, wenn der Antrag von einem Bevollmächtigten eingereicht wird, auch +dessen Namen und Anschrift; + + +b)die Liste der unter dasselbe Qualitätsmanagementsystem fallenden KI-Systeme; + + +c) die technische Dokumentation für jedes unter dasselbe Qualitätsmanagementsystem fallende KI-System; + + +d)die Dokumentation über das Qualitätsmanagementsystem mit allen in Artikel 17 aufgeführten Aspekten; + + +e) eine Beschreibung der bestehenden Verfahren, mit denen sichergestellt wird, dass das Qualitätsmanagement- +system angemessen und wirksam bleibt; + + +f) eine schriftliche Erklärung, dass derselbe Antrag bei keiner anderen notifizierten Stelle eingereicht wurde. + + +3.2. Das Qualitätssicherungssystem wird von der notifizierten Stelle bewertet, um festzustellen, ob es die in Artikel 17 +genannten Anforderungen erfüllt. + + +Die Entscheidung wird dem Anbieter oder dessen Bevollmächtigten mitgeteilt. + + +Die Mitteilung enthält die Ergebnisse der Bewertung des Qualitätsmanagementsystems und die begründete +Bewertungsentscheidung. + + +3.3. Das genehmigte Qualitätsmanagementsystem wird vom Anbieter weiter angewandt und gepflegt, damit es stets +angemessen und effizient funktioniert. + + +3.4. Der Anbieter unterrichtet die notifizierte Stelle über jede beabsichtigte Änderung des genehmigten Qualitätsmanage- +mentsystems oder der Liste der unter dieses System fallenden KI-Systeme. + + +Die notifizierte Stelle prüft die vorgeschlagenen Änderungen und entscheidet, ob das geänderte Qualitätsmana- +gementsystem die unter Nummer 3.2 genannten Anforderungen weiterhin erfüllt oder ob eine erneute Bewertung +erforderlich ist. + + +Die notifizierte Stelle teilt dem Anbieter ihre Entscheidung mit. Die Mitteilung enthält die Ergebnisse der Prüfung der +Änderungen und die begründete Bewertungsentscheidung. + +4. Kontrolle der technischen Dokumentation + + +4.1. Zusätzlich zu dem unter Nummer 3 genannten Antrag stellt der Anbieter bei der notifizierten Stelle seiner Wahl +einen Antrag auf Bewertung der technischen Dokumentation für das KI-System, das er in Verkehr zu bringen oder in +Betrieb zu nehmen beabsichtigt und das unter das unter Nummer 3 genannte Qualitätsmanagementsystem fällt. + + +4.2. Der Antrag enthält Folgendes: + + +a)den Namen und die Anschrift des Anbieters; + + +b)eine schriftliche Erklärung, dass derselbe Antrag bei keiner anderen notifizierten Stelle eingereicht wurde; + + +c) die in Anhang IV genannte technische Dokumentation. + +# DE ABl. L vom 12.7. + +134/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +4.3. Die technische Dokumentation wird von der notifizierten Stelle geprüft. Sofern es relevant ist und beschränkt auf +das zur Wahrnehmung ihrer Aufgaben erforderliche Maß erhält die notifizierte Stelle uneingeschränkten Zugang zu +den verwendeten Trainings-, Validierungs- und Testdatensätzen, gegebenenfalls und unter Einhaltung von +Sicherheitsvorkehrungen auch über API oder sonstige einschlägige technische Mittel und Instrumente, die den +Fernzugriff ermöglichen. + + +4.4. Bei der Prüfung der technischen Dokumentation kann die notifizierte Stelle vom Anbieter weitere Nachweise oder +die Durchführung weiterer Tests verlangen, um eine ordnungsgemäße Bewertung der Konformität des KI-Systems +mit den in Kapitel III Abschnitt 2 festgelegten Anforderungen zu ermöglichen. Ist die notifizierte Stelle mit den vom +Anbieter durchgeführten Tests nicht zufrieden, so führt sie gegebenenfalls unmittelbar selbst angemessene Tests +durch. + + +4.5. Sofern es für die Bewertung der Konformität des Hochrisiko-KI-Systems mit den in Kapitel III Abschnitt 2 +festgelegten Anforderungen notwendig ist, und nachdem alle anderen sinnvollen Möglichkeiten zur Überprüfung der +Konformität ausgeschöpft sind oder sich als unzureichend erwiesen haben, wird der notifizierten Stelle auf +begründeten Antrag Zugang zu den Trainingsmodellen und trainierten Modellen des KI-Systems, einschließlich +seiner relevanten Parameter, gewährt. Ein solcher Zugang unterliegt dem bestehenden EU-Recht zum Schutz von +geistigem Eigentum und Geschäftsgeheimnissen. + + +4.6. Die Entscheidung der notifizierten Stelle wird dem Anbieter oder dessen Bevollmächtigten mitgeteilt. Die Mitteilung +enthält die Ergebnisse der Bewertung der technischen Dokumentation und die begründete Bewertungsentscheidung. + + +Erfüllt das KI-System die Anforderungen in Kapitel III Abschnitt 2, so stellt die notifizierte Stelle eine +Unionsbescheinigung über die Bewertung der technischen Dokumentation aus. Diese Bescheinigung enthält den +Namen und die Anschrift des Anbieters, die Ergebnisse der Prüfung, etwaige Bedingungen für ihre Gültigkeit und die +für die Identifizierung des KI-Systems notwendigen Daten. + + +Die Bescheinigung und ihre Anhänge enthalten alle zweckdienlichen Informationen für die Beurteilung der +Konformität des KI-Systems und gegebenenfalls für die Kontrolle des KI-Systems während seiner Verwendung. + + +Erfüllt das KI-System die in Kapitel III Abschnitt 2 festgelegten Anforderungen nicht, so verweigert die notifizierte +Stelle die Ausstellung einer Unionsbescheinigung über die Bewertung der technischen Dokumentation und +informiert den Antragsteller darüber, wobei sie ihre Verweigerung ausführlich begründet. + + +Erfüllt das KI-System nicht die Anforderung in Bezug auf die verwendeten Trainingsdaten, so muss das KI-System +vor der Beantragung einer neuen Konformitätsbewertung erneut trainiert werden. In diesem Fall enthält die +begründete Bewertungsentscheidung der notifizierten Stelle, mit der die Ausstellung der Unionsbescheinigung über +die Bewertung der technischen Dokumentation verweigert wird, besondere Erläuterungen zu den zum Trainieren +des KI-Systems verwendeten Qualitätsdaten und insbesondere zu den Gründen für die Nichtkonformität. + + +4.7. Jede Änderung des KI-Systems, die sich auf die Konformität des KI-Systems mit den Anforderungen oder auf seine +Zweckbestimmung auswirken könnte, bedarf der Bewertung durch die notifizierte Stelle, die die Unions- +bescheinigung über die Bewertung der technischen Dokumentation ausgestellt hat. Der Anbieter informiert die +notifizierte Stelle über seine Absicht, eine der oben genannten Änderungen vorzunehmen, oder wenn er auf andere +Weise Kenntnis vom Eintreten solcher Änderungen erhält. Die notifizierte Stelle bewertet die beabsichtigten +Änderungen und entscheidet, ob diese Änderungen eine neue Konformitätsbewertung gemäß Artikel 43 Absatz 4 +erforderlich machen oder ob ein Nachtrag zu der Unionsbescheinigung über die Bewertung der technischen +Dokumentation ausgestellt werden könnte. In letzterem Fall bewertet die notifizierte Stelle die Änderungen, teilt +dem Anbieter ihre Entscheidung mit und stellt ihm, sofern die Änderungen genehmigt wurden, einen Nachtrag zu +der Unionsbescheinigung über die Bewertung der technischen Dokumentation aus. + +5. Überwachung des genehmigten Qualitätsmanagementsystems + + +5.1. Mit der unter Nummer 3 genannten Überwachung durch die notifizierte Stelle soll sichergestellt werden, dass der +Anbieter sich ordnungsgemäß an die Anforderungen und Bedingungen des genehmigten Qualitätsmanagements- +ystems hält. + + +5.2. Zu Bewertungszwecken gewährt der Anbieter der notifizierten Stelle Zugang zu den Räumlichkeiten, in denen die +Konzeption, die Entwicklung und das Testen der KI-Systeme stattfindet. Außerdem übermittelt der Anbieter der +notifizierten Stelle alle erforderlichen Informationen. + + +5.3. Die notifizierte Stelle führt regelmäßig Audits durch, um sicherzustellen, dass der Anbieter das Qualitätsmana- +gementsystem pflegt und anwendet, und übermittelt ihm einen Prüfbericht. Im Rahmen dieser Audits kann die +notifizierte Stelle die KI-Systeme, für die eine Unionsbescheinigung über die Bewertung der technischen +Dokumentation ausgestellt wurde, zusätzlichen Tests unterziehen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 135/ + + + +ANHANG VIII + + +Bei der Registrierung des Hochrisiko-KI-Systems gemäß Artikel 49 bereitzustellende Informationen + + +Abschnitt A — Von Anbietern von Hochrisiko-KI-Systemen gemäß Artikel 49 Absatz 1 bereitzustellende Informationen + + +Für Hochrisiko-KI-Systeme, die gemäß Artikel 49 Absatz 1 zu registrieren sind, werden folgende Informationen +bereitgestellt und danach auf dem neuesten Stand gehalten: + +1. der Name, die Anschrift und die Kontaktdaten des Anbieters; +2. bei Vorlage von Informationen durch eine andere Person im Namen des Anbieters: der Name, die Anschrift und die + Kontaktdaten dieser Person; +3. gegebenenfalls der Name, die Anschrift und die Kontaktdaten des Bevollmächtigten; +4. der Handelsname des KI-Systems und etwaige zusätzliche eindeutige Angaben, die die Identifizierung und + Rückverfolgbarkeit des KI-Systems ermöglichen; +5. eine Beschreibung der Zweckbestimmung des KI-Systems und der durch dieses KI-System unterstützten + Komponenten und Funktionen; +6. eine grundlegende und knappe Beschreibung der vom System verwendeten Informationen (Daten, Eingaben) und + seiner Betriebslogik; +7. der Status des KI-Systems (in Verkehr/in Betrieb; nicht mehr in Verkehr/in Betrieb, zurückgerufen); +8. die Art, die Nummer und das Ablaufdatum der von der notifizierten Stelle ausgestellten Bescheinigung und + gegebenenfalls Name oder Identifizierungsnummer dieser notifizierten Stelle; +9. gegebenenfalls eine gescannte Kopie der in Nummer 8 genannten Bescheinigung; +10. alle Mitgliedstaaten, in denen das KI-System in Verkehr gebracht, in Betrieb genommen oder in der Union + bereitgestellt wurde; +11. eine Kopie der in Artikel 47 genannten EU-Konformitätserklärung; +12. elektronische Betriebsanleitungen; dies gilt nicht für Hochrisiko-KI-Systeme in den Bereichen Strafverfolgung oder + Migration, Asyl und Grenzkontrolle gemäß Anhang III Nummern 1, 6 und 7; +13. Eine URL-Adresse für zusätzliche Informationen (fakultativ). + + +Abschnitt B — Von Anbietern von Hochrisiko-KI-Systemen gemäß Artikel 49 Absatz 2 bereitzustellende Informationen +Für KI-Systeme, die gemäß Artikel 49 Absatz 2 zu registrieren sind, werden folgende Informationen bereitgestellt und +danach auf dem neuesten Stand gehalten: + +1. der Name, die Anschrift und die Kontaktdaten des Anbieters; +2. bei Vorlage von Informationen durch eine andere Person im Namen des Anbieters: Name, Anschrift und + Kontaktdaten dieser Person; +3. gegebenenfalls der Name, die Anschrift und die Kontaktdaten des Bevollmächtigten; +4. der Handelsname des KI-Systems und etwaige zusätzliche eindeutige Angaben, die die Identifizierung und + Rückverfolgbarkeit des KI-Systems ermöglichen; +5. eine Beschreibung der Zweckbestimmung des KI-Systems; +6. die Bedingung oder Bedingungen gemäß Artikel 6 Absatz 3, aufgrund derer das KI-System nicht als + Hoch-Risiko-System eingestuft wird; +7. eine kurze Zusammenfassung der Gründe, aus denen das KI-System in Anwendung des Verfahrens gemäß Artikel 6 + Absatz 3 nicht als Hoch-Risiko-System eingestuft wird; +8. der Status des KI-Systems (in Verkehr/in Betrieb; nicht mehr in Verkehr/in Betrieb, zurückgerufen) +9. alle Mitgliedstaaten, in denen das KI-System in der Union in Verkehr gebracht, in Betrieb genommen oder + bereitgestellt wurde. + +# DE ABl. L vom 12.7. + +136/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Abschnitt C — Von Betreibern von Hochrisiko-KI-Systemen gemäß Artikel 49 Absatz 3 bereitzustellende Informationen + + +Für Hochrisiko-KI-Systeme, die gemäß Artikel 49 Absatz 3 zu registrieren sind, werden folgende Informationen +bereitgestellt und danach auf dem neuesten Stand gehalten: + +1. der Name, die Anschrift und die Kontaktdaten des Betreibers; +2. der Name, die Anschrift und die Kontaktdaten der Person, die im Namen des Betreibers Informationen übermittelt; +3. die URL des Eintrags des KI-Systems in der EU-Datenbank durch seinen Anbieter; +4. eine Zusammenfassung der Ergebnisse der gemäß Artikel 27 durchgeführten Grundrechte-Folgenabschätzung; +5. gegebenenfalls eine Zusammenfassung der im Einklang mit Artikel 35 der Verordnung (EU) 2016/679 oder + Artikel 27 der Richtlinie (EU) 2016/680 gemäß Artikel 26 Absatz 8 der vorliegenden Verordnung durchgeführten + Datenschutz-Folgenabschätzung. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 137/ + + + +ANHANG IX + + +Bezüglich Tests unter Realbedingungen gemäß Artikel 60 bei der Registrierung von in Anhang III +aufgeführten Hochrisiko-KI-Systemen bereitzustellende Informationen + + +Bezüglich Tests unter Realbedingungen, die gemäß Artikel 60 zu registrieren sind, werden folgende Informationen +bereitgestellt und danach auf dem aktuellen Stand gehalten: + +1. eine unionsweit einmalige Identifizierungsnummer des Tests unter Realbedingungen; +2. der Name und die Kontaktdaten des Anbieters oder zukünftigen Anbieters und der Betreiber, die an dem Test unter + Realbedingungen teilgenommen haben; +3. eine kurze Beschreibung des KI-Systems, seine Zweckbestimmung und sonstige zu seiner Identifizierung + erforderliche Informationen; +4. eine Übersicht über die Hauptmerkmale des Plans für den Test unter Realbedingungen; +5. Informationen über die Aussetzung oder den Abbruch des Tests unter Realbedingungen. + +# DE ABl. L vom 12.7. + +138/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +ANHANG X + + +Rechtsvorschriften der Union über IT-Großsysteme im Raum der Freiheit, der Sicherheit und des Rechts + +1. Schengener Informationssystem + + +a)Verordnung (EU) 2018/1860 des Europäischen Parlaments und des Rates vom 28. November 2018 über die +Nutzung des Schengener Informationssystems für die Rückkehr illegal aufhältiger Drittstaatsangehöriger (ABl. +L 312 vom 7.12.2018, S. 1) + + +b)Verordnung (EU) 2018/1861 des Europäischen Parlaments und des Rates vom 28. November 2018 über die +Einrichtung, den Betrieb und die Nutzung des Schengener Informationssystems (SIS) im Bereich der +Grenzkontrollen, zur Änderung des Übereinkommens zur Durchführung des Übereinkommens von Schengen +und zur Änderung und Aufhebung der Verordnung (EG) Nr. 1987/2006 (ABl. L 312 vom 7.12.2018, S. 14) + + +c) Verordnung (EU) 2018/1862 des Europäischen Parlaments und des Rates vom 28. November 2018 über die +Einrichtung, den Betrieb und die Nutzung des Schengener Informationssystems (SIS) im Bereich der polizeilichen +Zusammenarbeit und der justiziellen Zusammenarbeit in Strafsachen, zur Änderung und Aufhebung des +Beschlusses 2007/533/JI des Rates und zur Aufhebung der Verordnung (EG) Nr. 1986/2006 des Europäischen +Parlaments und des Rates und des Beschlusses 2010/261/EU der Kommission (ABl. L 312 vom 7.12.2018, S. 56) + +2. Visa-Informationssystem + + +a)Verordnung (EU) 2021/1133 des Europäischen Parlaments und des Rates vom 7. Juli 2021 zur Änderung der +Verordnungen (EU) Nr. 603/2013, (EU) 2016/794, (EU) 2018/1862, (EU) 2019/816 und (EU) 2019/ +hinsichtlich der Festlegung der Voraussetzungen für den Zugang zu anderen Informationssystemen der EU für +Zwecke des Visa-Informationssystems (ABl. L 248 vom 13.7.2021, S. 1) + + +b)Verordnung (EU) 2021/1134 des Europäischen Parlaments und des Rates vom 7. Juli 2021 zur Änderung der +Verordnungen (EG) Nr. 767/2008, (EG) Nr. 810/2009, (EU) 2016/399, (EU) 2017/2226, (EU) 2018/1240, +(EU) 2018/1860, (EU) 2018/1861, (EU) 2019/817 und (EU) 2019/1896 des Europäischen Parlaments und des +Rates und zur Aufhebung der Entscheidung 2004/512/EG und des Beschlusses 2008/633/JI des Rates zum +Zwecke der Reform des Visa-Informationssystems (ABl. L 248 vom 13.7.2021, S. 11) + +3. Eurodac + + +Verordnung (EU) 2024/1358 des Europäischen Parlaments und des Rates vom 14. Mai 2024 über die Einrichtung +von Eurodac für den Abgleich biometrischer Daten zum Zwecke der effektiven Anwendung der Verordnungen (EU) +2024/1315 und (EU) 2024/1350 des Europäischen Parlaments und des Rates und der Richtlinie 2001/55/EG des +Rates und zur Feststellung der Identität illegal aufhältiger Drittstaatsangehöriger und Staatenloser und über der +Gefahrenabwehr und Strafverfolgung dienende Anträge der Gefahrenabwehr- und Strafverfolgungsbehörden der +Mitgliedstaaten und Europols auf den Abgleich mit Eurodac-Daten sowie zur Änderung der Verordnungen (EU) +2018/1240 und (EU) 2019/818 des Europäischen Parlaments und des Rates und zur Aufhebung der Verordnung +(EU) Nr. 603/2013 des Europäischen Parlaments und des Rates (ABl. L, 2024/1358, 22.5.2024, ELI: http://data. +europa.eu/eli/reg/2024/1358/oj) + +4. Einreise-/Ausreisesystem + + +Verordnung (EU) 2017/2226 des Europäischen Parlaments und des Rates vom 30. November 2017 über ein +Einreise-/Ausreisesystem (EES) zur Erfassung der Ein- und Ausreisedaten sowie der Einreiseverweigerungsdaten von +Drittstaatsangehörigen an den Außengrenzen der Mitgliedstaaten und zur Festlegung der Bedingungen für den +Zugang zum EES zu Gefahrenabwehr- und Strafverfolgungszwecken und zur Änderung des Übereinkommens von +Schengen sowie der Verordnungen (EG) Nr. 767/2008 und (EU) Nr. 1077/2011 (ABl. L 327 vom 9.12.2017, S. 20) + +5. Europäisches Reiseinformations- und -genehmigungssystem + + +a)Verordnung (EU) 2018/1240 des Europäischen Parlaments und des Rates vom 12. September 2018 über die +Einrichtung eines Europäischen Reiseinformations- und -genehmigungssystems (ETIAS) und zur Änderung der +Verordnungen (EU) Nr. 1077/2011, (EU) Nr. 515/2014, (EU) 2016/399, (EU) 2016/1624 und (EU) 2017/ +(ABl. L 236 vom 19.9.2018, S. 1) + + +b)Verordnung (EU) 2018/1241 des Europäischen Parlaments und des Rates vom 12. September 2018 zur +Änderung der Verordnung (EU) 2016/794 für die Zwecke der Einrichtung eines Europäischen Reiseinformations- +und -genehmigungssystems (ETIAS) (ABl. L 236 vom 19.9.2018, S. 72) + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 139/ + + +6. Europäisches Strafregisterinformationssystem über Drittstaatsangehörige und Staatenlose + + +Verordnung (EU) 2019/816 des Europäischen Parlaments und des Rates vom 17. April 2019 zur Einrichtung eines +zentralisierten Systems für die Ermittlung der Mitgliedstaaten, in denen Informationen zu Verurteilungen von +Drittstaatsangehörigen und Staatenlosen (ECRIS-TCN) vorliegen, zur Ergänzung des Europäischen Strafregisterin- +formationssystems und zur Änderung der Verordnung (EU) 2018/1726 (ABl. L 135 vom 22.5.2019, S. 1) + +7. Interoperabilität + + +a)Verordnung (EU) 2019/817 des Europäischen Parlaments und des Rates vom 20. Mai 2019 zur Errichtung eines +Rahmens für die Interoperabilität zwischen EU-Informationssystemen in den Bereichen Grenzen und Visa und +zur Änderung der Verordnungen (EG) Nr. 767/2008, (EU) 2016/399, (EU) 2017/2226, (EU) 2018/1240, (EU) +2018/1726 und (EU) 2018/1861 des Europäischen Parlaments und des Rates, der Entscheidung 2004/512/EG +des Rates und des Beschlusses 2008/633/JI des Rates (ABl. L 135 vom 22.5.2019, S. 27) + + +b)Verordnung (EU) 2019/818 des Europäischen Parlaments und des Rates vom 20. Mai 2019 zur Errichtung eines +Rahmens für die Interoperabilität zwischen EU-Informationssystemen (polizeiliche und justizielle Zusammen- +arbeit, Asyl und Migration) und zur Änderung der Verordnungen (EU) 2018/1726, (EU) 2018/1862 und (EU) +2019/816 (ABl. L 135 vom 22.5.2019, S. 85). + +# DE ABl. L vom 12.7. + +140/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +ANHANG XI + + +Technische Dokumentation gemäß Artikel 53 Absatz 1 Buchstabe a — technische Dokumentation +für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck + + +Abschnitt 1 + + +Von allen Anbietern von KI-Modellen mit allgemeinem Verwendungszweck bereitzustellende Informationen +Die in Artikel 53 Absatz 1 Buchstabe a genannte technische Dokumentation muss mindestens die folgenden Informationen +enthalten, soweit es anhand der Größe und des Risikoprofils des betreffenden Modells angemessen ist: + +1. Eine allgemeine Beschreibung des KI-Modells einschließlich + + +a)der Aufgaben, die das Modell erfüllen soll, sowie der Art und des Wesens der KI-Systeme, in die es integriert +werden kann; + + +b)die anwendbaren Regelungen der akzeptablen Nutzung; + + +c) das Datum der Freigabe und die Vertriebsmethoden; + + +d)die Architektur und die Anzahl der Parameter; + + +e) die Modalität (zum Beispiel Text, Bild) und das Format der Ein- und Ausgaben; + + +f) die Lizenz. + +2. Eine ausführliche Beschreibung der Elemente des Modells gemäß Nummer 1 und relevante Informationen zum + Entwicklungsverfahren, einschließlich der folgenden Elemente: + + +a)die technischen Mittel (zum Beispiel Betriebsanleitungen, Infrastruktur, Instrumente), die für die Integration des +KI-Modells mit allgemeinem Verwendungszweck in KI-Systeme erforderlich sind; + + +b)die Entwurfsspezifikationen des Modells und des Trainingsverfahrens einschließlich Trainingsmethoden und +-techniken, die wichtigsten Entwurfsentscheidungen mit den Gründen und getroffenen Annahmen; gege- +benenfalls, was das Modell optimieren soll und welche Bedeutung den verschiedenen Parametern dabei zukommt; + + +c) gegebenenfalls Informationen über die für das Trainieren, Testen und Validieren verwendeten Daten, +einschließlich der Art und Herkunft der Daten und der Aufbereitungsmethoden (zum Beispiel Bereinigung, +Filterung usw.), der Zahl der Datenpunkte, ihres Umfangs und ihrer Hauptmerkmale; gegebenenfalls die Art und +Weise, wie die Daten erlangt und ausgewählt wurden, sowie alle anderen Maßnahmen zur Feststellung, ob +Datenquellen ungeeignet sind, und Methoden zur Erkennung ermittelbarer Verzerrungen; + + +d)die für das Trainieren des Modells verwendeten Rechenressourcen (zum Beispiel Anzahl der Gleitkommaope- +rationen), die Trainingszeit und andere relevante Einzelheiten im Zusammenhang mit dem Trainieren; + + +e) bekannter oder geschätzter Energieverbrauch des Modells. + + +Wenn der Energieverbrauch des Modells nicht bekannt ist, kann für Buchstabe e der Energieverbrauch auf +Informationen über die eingesetzten Rechenressourcen gestützt werden. + + +Abschnitt 2 + + +Zusätzliche von Anbietern von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko bereitzu- +stellende Informationen + +1. Eine ausführliche Beschreibung der Prüfstrategien, einschließlich der Prüfungsergebnisse, auf der Grundlage + öffentlich verfügbarer Prüfprotokolle und -instrumente oder anderer Prüfmethoden. Die Prüfstrategien umfassen + Prüfkriterien und -metrik sowie die Methodik zur Ermittlung von Einschränkungen. +2. Gegebenenfalls eine ausführliche Beschreibung der Maßnahmen, die ergriffen wurden, um interne und/oder externe + Angriffstests durchzuführen (zum Beispiel Red Teaming), Modellanpassungen, einschließlich Ausrichtung und + Feinabstimmung. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 141/ + + +3. Gegebenenfalls eine ausführliche Beschreibung der Systemarchitektur, aus der hervorgeht, wie Softwarekomponen- + ten aufeinander aufbauen oder einander zuarbeiten und in die Gesamtverarbeitung integriert sind. + +# DE ABl. L vom 12.7. + +142/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +ANHANG XII + + +Transparenzinformationen gemäß Artikel 53 Absatz 1 Buchstabe b — technische Dokumentation für +Anbieter von KI-Modellen mit allgemeinem Verwendungszweck für nachgelagerte Anbieter, die das +Modell in ihr KI-System integrieren + + +Die in Artikel 53 Absatz 1 Buchstabe b genannten Informationen enthalten mindestens Folgendes: + +1. eine allgemeine Beschreibung des KI-Modells einschließlich + + +a)der Aufgaben, die das Modell erfüllen soll, sowie der Art und des Wesens der KI-Systeme, in die es integriert +werden kann; + + +b)die anwendbaren Regelungen der akzeptablen Nutzung; + + +c) das Datum der Freigabe und die Vertriebsmethoden; + + +d)gegebenenfalls wie das Modell mit Hardware oder Software interagiert, die nicht Teil des Modells selbst ist, oder +wie es zu einer solchen Interaktion verwendet werden kann; + + +e) gegebenenfalls die Versionen der einschlägigen Software im Zusammenhang mit der Verwendung des KI-Modells +mit allgemeinem Verwendungszweck; + + +f) die Architektur und die Anzahl der Parameter; + + +g)die Modalität (zum Beispiel Text, Bild) und das Format der Ein- und Ausgaben; + + +h)die Lizenz für das Modell. + +2. Eine Beschreibung der Bestandteile des Modells und seines Entwicklungsprozesses, einschließlich + + +a)die technischen Mittel (zum Beispiel Betriebsanleitungen, Infrastruktur, Instrumente), die für die Integration des +KI-Modells mit allgemeinem Verwendungszweck in KI-Systeme erforderlich sind; + + +b)Modalität (zum Beispiel Text, Bild usw.) und Format der Ein- und Ausgaben und deren maximale Größe (zum +Beispiel Länge des Kontextfensters usw.); + + +c) gegebenenfalls Informationen über die für das Trainieren, Testen und Validieren verwendeten Daten, +einschließlich der Art und Herkunft der Daten und der Aufbereitungsmethoden. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 143/ + + + +ANHANG XIII + + +Kriterien für die Benennung von KI-Modellen mit allgemeinem Verwendungszweck mit +systemischem Risiko gemäß Artikel 51 + + +Um festzustellen, ob ein KI-Modell mit allgemeinem Verwendungszweck über Fähigkeiten oder eine Wirkung verfügt, die +den in Artikel 51 Absatz 1 Buchstabe a genannten gleichwertig sind, berücksichtigt die Kommission folgende Kriterien: + + +a) die Anzahl der Parameter des Modells; + + +b) die Qualität oder Größe des Datensatzes, zum Beispiel durch Tokens gemessen; + + +c) die Menge der für das Trainieren des Modells verwendeten Berechnungen, gemessen in Gleitkommaoperationen oder +anhand einer Kombination anderer Variablen, wie geschätzte Trainingskosten, geschätzter Zeitaufwand für das +Trainieren oder geschätzter Energieverbrauch für das Trainieren; + + +d) die Ein- und Ausgabemodalitäten des Modells, wie Text-Text (Große Sprachmodelle), Text-Bild, Multimodalität, +Schwellenwerte auf dem Stand der Technik für die Bestimmung der Fähigkeiten mit hoher Wirkkraft für jede +Modalität und die spezifische Art der Ein- und Ausgaben (zum Beispiel biologische Sequenzen); + + +e) die Benchmarks und Beurteilungen der Fähigkeiten des Modells, einschließlich unter Berücksichtigung der Zahl der +Aufgaben ohne zusätzliches Training, der Anpassungsfähigkeit zum Erlernen neuer, unterschiedlicher Aufgaben, des +Grades an Autonomie und Skalierbarkeit sowie der Instrumente, zu denen es Zugang hat; + + +f) ob es aufgrund seiner Reichweite große Auswirkungen auf den Binnenmarkt hat — davon wird ausgegangen, wenn +es mindestens 10 000 in der Union niedergelassenen registrierten gewerblichen Nutzern zur Verfügung gestellt +wurde; + + +g) die Zahl der registrierten Endnutzer. + +# DE ABl. L vom 12.7.2024 + +144/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + diff --git a/addons/godot_llama/demo/documents/2.md b/addons/godot_llama/demo/documents/2.md new file mode 100644 index 0000000..285b54b --- /dev/null +++ b/addons/godot_llama/demo/documents/2.md @@ -0,0 +1,548 @@ +KAPITEL I +ALLGEMEINE BESTIMMUNGEN +Artikel 1 + + +Gegenstand + + +(1) Zweck dieser Verordnung ist es, das Funktionieren des Binnenmarkts zu verbessern und die Einführung einer auf den +Menschen ausgerichteten und vertrauenswürdigen künstlichen Intelligenz (KI) zu fördern und gleichzeitig ein hohes +Schutzniveau in Bezug auf Gesundheit, Sicherheit und die in der Charta verankerten Grundrechte, einschließlich +Demokratie, Rechtsstaatlichkeit und Umweltschutz, vor schädlichen Auswirkungen von KI-Systemen in der Union zu +gewährleisten und die Innovation zu unterstützen. + + +(2) In dieser Verordnung wird Folgendes festgelegt: + + +a)harmonisierte Vorschriften für das Inverkehrbringen, die Inbetriebnahme und die Verwendung von KI-Systemen in der +Union; + +# DE ABl. L vom 12.7. + +44/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +b)Verbote bestimmter Praktiken im KI-Bereich; + + +c) besondere Anforderungen an Hochrisiko-KI-Systeme und Pflichten für Akteure in Bezug auf solche Systeme; + + +d)harmonisierte Transparenzvorschriften für bestimmte KI-Systeme; + + +e) harmonisierte Vorschriften für das Inverkehrbringen von KI-Modellen mit allgemeinem Verwendungszweck; + + +f) Vorschriften für die Marktbeobachtung sowie die Governance und Durchsetzung der Marktüberwachung; + + +g)Maßnahmen zur Innovationsförderung mit besonderem Augenmerk auf KMU, einschließlich Start-up-Unternehmen. + + +Artikel 2 + + +Anwendungsbereich + + +(1) Diese Verordnung gilt für + + +a)Anbieter, die in der Union KI-Systeme in Verkehr bringen oder in Betrieb nehmen oder KI-Modelle mit allgemeinem +Verwendungszweck in Verkehr bringen, unabhängig davon, ob diese Anbieter in der Union oder in einem Drittland +niedergelassen sind; + + +b)Betreiber von KI-Systemen, die ihren Sitz in der Union haben oder in der Union befinden; + + +c) Anbieter und Betreiber von KI-Systemen, die ihren Sitz in einem Drittland haben oder sich in einem Drittland befinden, +wenn die vom KI-System hervorgebrachte Ausgabe in der Union verwendet wird; + + +d)Einführer und Händler von KI-Systemen; + + +e) Produkthersteller, die KI-Systeme zusammen mit ihrem Produkt unter ihrem eigenen Namen oder ihrer Handelsmarke in +Verkehr bringen oder in Betrieb nehmen; + + +f) Bevollmächtigte von Anbietern, die nicht in der Union niedergelassen sind; + + +g)betroffene Personen, die sich in der Union befinden. + + +(2) Für KI-Systeme, die als Hochrisiko-KI-Systeme gemäß Artikel 6 Absatz 1 eingestuft sind und im Zusammenhang mit +Produkten stehen, die unter die in Anhang I Abschnitt B aufgeführten Harmonisierungsrechtsvorschriften der Union fallen, +gelten nur Artikel 6 Absatz 1, die Artikel 102 bis 109 und Artikel 112. Artikel 57 gilt nur, soweit die Anforderungen an +Hochrisiko-KI-Systeme gemäß dieser Verordnung im Rahmen der genannten Harmonisierungsrechtsvorschriften der Union +eingebunden wurden. + + +(3) Diese Verordnung gilt nur in den unter das Unionsrecht fallenden Bereichen und berührt keinesfalls die +Zuständigkeiten der Mitgliedstaaten in Bezug auf die nationale Sicherheit, unabhängig von der Art der Einrichtung, die von +den Mitgliedstaaten mit der Wahrnehmung von Aufgaben im Zusammenhang mit diesen Zuständigkeiten betraut wurde. + + +Diese Verordnung gilt nicht für KI-Systeme, wenn und soweit sie ausschließlich für militärische Zwecke, Verteidigungszwek- +ke oder Zwecke der nationalen Sicherheit in Verkehr gebracht, in Betrieb genommen oder, mit oder ohne Änderungen, +verwendet werden, unabhängig von der Art der Einrichtung, die diese Tätigkeiten ausübt. + + +Diese Verordnung gilt nicht für KI-Systeme, die nicht in der Union in Verkehr gebracht oder in Betrieb genommen werden, +wenn die Ausgaben in der Union ausschließlich für militärische Zwecke, Verteidigungszwecke oder Zwecke der nationalen +Sicherheit verwendet werden, unabhängig von der Art der Einrichtung, die diese Tätigkeiten ausübt. + + +(4) Diese Verordnung gilt weder für Behörden in Drittländern noch für internationale Organisationen, die gemäß +Absatz 1 in den Anwendungsbereich dieser Verordnung fallen, soweit diese Behörden oder Organisationen KI-Systeme im +Rahmen der internationalen Zusammenarbeit oder internationaler Übereinkünfte im Bereich der Strafverfolgung und +justiziellen Zusammenarbeit mit der Union oder mit einem oder mehreren Mitgliedstaaten verwenden und sofern ein +solches Drittland oder eine solche internationale Organisation angemessene Garantien hinsichtlich des Schutz der +Privatsphäre, der Grundrechte und der Grundfreiheiten von Personen bietet. + + +(5) Die Anwendung der Bestimmungen über die Haftung der Anbieter von Vermittlungsdiensten in Kapitel II der +Verordnung 2022/2065 bleibt von dieser Verordnung unberührt. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 45/ + + + +(6) Diese Verordnung gilt nicht für KI-Systeme oder KI-Modelle, einschließlich ihrer Ausgabe, die eigens für den +alleinigen Zweck der wissenschaftlichen Forschung und Entwicklung entwickelt und in Betrieb genommen werden. + + +(7) Die Rechtsvorschriften der Union zum Schutz personenbezogener Daten, der Privatsphäre und der Vertraulichkeit +der Kommunikation gelten für die Verarbeitung personenbezogener Daten im Zusammenhang mit den in dieser +Verordnung festgelegten Rechten und Pflichten. Diese Verordnung berührt nicht die Verordnung (EU) 2016/679 bzw. (EU) +2018/1725 oder die Richtlinie 2002/58/EG bzw. (EU) 2016/680, unbeschadet des Artikels 10 Absatz 5 und des Artikels 59 +der vorliegenden Verordnung. + + +(8) Diese Verordnung gilt nicht für Forschungs-, Test- und Entwicklungstätigkeiten zu KI-Systemen oder KI-Modellen, +bevor diese in Verkehr gebracht oder in Betrieb genommen werden. Solche Tätigkeiten werden im Einklang mit dem +geltenden Unionsrecht durchgeführt. Tests unter Realbedingungen fallen nicht unter diesen Ausschluss. + + +(9) Diese Verordnung berührt nicht die Vorschriften anderer Rechtsakte der Union zum Verbraucherschutz und zur +Produktsicherheit. + + +(10) Diese Verordnung gilt nicht für die Pflichten von Betreibern, die natürliche Personen sind und KI-Systeme im +Rahmen einer ausschließlich persönlichen und nicht beruflichen Tätigkeit verwenden. + + +(11) Diese Verordnung hindert die Union oder die Mitgliedstaaten nicht daran, Rechts- oder Verwaltungsvorschriften +beizubehalten oder einzuführen, die für die Arbeitnehmer im Hinblick auf den Schutz ihrer Rechte bei der Verwendung von +KI-Systemen durch die Arbeitgeber vorteilhafter sind, oder die Anwendung von Kollektivvereinbarungen zu fördern oder +zuzulassen, die für die Arbeitnehmer vorteilhafter sind. + + +(12) Diese Verordnung gilt nicht für KI-Systeme, die unter freien und quelloffenen Lizenzen bereitgestellt werden, es sei +denn, sie werden als Hochrisiko-KI-Systeme oder als ein KI-System, das unter Artikel 5 oder 50 fällt, in Verkehr gebracht +oder in Betrieb genommen. + + +Artikel 3 + + +Begriffsbestimmungen + + +Für die Zwecke dieser Verordnung bezeichnet der Ausdruck + +1. „KI-System“ ein maschinengestütztes System, das für einen in unterschiedlichem Grade autonomen Betrieb ausgelegt ist + und das nach seiner Betriebsaufnahme anpassungsfähig sein kann und das aus den erhaltenen Eingaben für explizite + oder implizite Ziele ableitet, wie Ausgaben wie etwa Vorhersagen, Inhalte, Empfehlungen oder Entscheidungen erstellt + werden, die physische oder virtuelle Umgebungen beeinflussen können; +2. „Risiko“ die Kombination aus der Wahrscheinlichkeit des Auftretens eines Schadens und der Schwere dieses Schadens; +3. „Anbieter“ eine natürliche oder juristische Person, Behörde, Einrichtung oder sonstige Stelle, die ein KI-System oder ein + KI-Modell mit allgemeinem Verwendungszweck entwickelt oder entwickeln lässt und es unter ihrem eigenen Namen + oder ihrer Handelsmarke in Verkehr bringt oder das KI-System unter ihrem eigenen Namen oder ihrer Handelsmarke in + Betrieb nimmt, sei es entgeltlich oder unentgeltlich; +4. „Betreiber“ eine natürliche oder juristische Person, Behörde, Einrichtung oder sonstige Stelle, die ein KI-System in + eigener Verantwortung verwendet, es sei denn, das KI-System wird im Rahmen einer persönlichen und nicht + beruflichen Tätigkeit verwendet; +5. „Bevollmächtigter“ eine in der Union ansässige oder niedergelassene natürliche oder juristische Person, die vom + Anbieter eines KI-Systems oder eines KI-Modells mit allgemeinem Verwendungszweck schriftlich dazu bevollmächtigt + wurde und sich damit einverstanden erklärt hat, in seinem Namen die in dieser Verordnung festgelegten Pflichten zu + erfüllen bzw. Verfahren durchzuführen; +6. „Einführer“ eine in der Union ansässige oder niedergelassene natürliche oder juristische Person, die ein KI-System, das + den Namen oder die Handelsmarke einer in einem Drittland niedergelassenen natürlichen oder juristischen Person + trägt, in Verkehr bringt; +7. „Händler“ eine natürliche oder juristische Person in der Lieferkette, die ein KI-System auf dem Unionsmarkt bereitstellt, + mit Ausnahme des Anbieters oder des Einführers; +8. „Akteur“ einen Anbieter, Produkthersteller, Betreiber, Bevollmächtigten, Einführer oder Händler; + +# DE ABl. L vom 12.7. + +46/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + +9. „Inverkehrbringen“ die erstmalige Bereitstellung eines KI-Systems oder eines KI-Modells mit allgemeinem + Verwendungszweck auf dem Unionsmarkt; + + +10.„Bereitstellung auf dem Markt“ die entgeltliche oder unentgeltliche Abgabe eines KI-Systems oder eines KI-Modells mit +allgemeinem Verwendungszweck zum Vertrieb oder zur Verwendung auf dem Unionsmarkt im Rahmen einer +Geschäftstätigkeit; + + +11.„Inbetriebnahme“ die Bereitstellung eines KI-Systems in der Union zum Erstgebrauch direkt an den Betreiber oder zum +Eigengebrauch entsprechend seiner Zweckbestimmung; + + +12.„Zweckbestimmung“ die Verwendung, für die ein KI-System laut Anbieter bestimmt ist, einschließlich der besonderen +Umstände und Bedingungen für die Verwendung, entsprechend den vom Anbieter bereitgestellten Informationen in +den Betriebsanleitungen, im Werbe- oder Verkaufsmaterial und in diesbezüglichen Erklärungen sowie in der +technischen Dokumentation; + + +13.„vernünftigerweise vorhersehbare Fehlanwendung“ die Verwendung eines KI-Systems in einer Weise, die nicht seiner +Zweckbestimmung entspricht, die sich aber aus einem vernünftigerweise vorhersehbaren menschlichen Verhalten oder +einer vernünftigerweise vorhersehbaren Interaktion mit anderen Systemen, auch anderen KI-Systemen, ergeben kann; + + +14.„Sicherheitsbauteil“ einen Bestandteil eines Produkts oder KI-Systems, der eine Sicherheitsfunktion für dieses Produkt +oder KI-System erfüllt oder dessen Ausfall oder Störung die Gesundheit und Sicherheit von Personen oder Eigentum +gefährdet; + + +15.„Betriebsanleitungen“ die Informationen, die der Anbieter bereitstellt, um den Betreiber insbesondere über die +Zweckbestimmung und die ordnungsgemäße Verwendung eines KI-Systems zu informieren; + + +16.„Rückruf eines KI-Systems“ jede Maßnahme, die auf die Rückgabe an den Anbieter oder auf die Außerbetriebsetzung +oder Abschaltung eines den Betreibern bereits zur Verfügung gestellten KI-Systems abzielt; + + +17.„Rücknahme eines KI-Systems“ jede Maßnahme, mit der die Bereitstellung eines in der Lieferkette befindlichen +KI-Systems auf dem Markt verhindert werden soll; + + +18.„Leistung eines KI-Systems“ die Fähigkeit eines KI-Systems, seine Zweckbestimmung zu erfüllen; + + +19.„notifizierende Behörde“ die nationale Behörde, die für die Einrichtung und Durchführung der erforderlichen Verfahren +für die Bewertung, Benennung und Notifizierung von Konformitätsbewertungsstellen und für deren Überwachung +zuständig ist; + + +20.„Konformitätsbewertung“ ein Verfahren mit dem bewertet wird, ob die in Titel III Abschnitt 2 festgelegten +Anforderungen an ein Hochrisiko-KI-System erfüllt wurden; + + +21.„Konformitätsbewertungsstelle“ eine Stelle, die Konformitätsbewertungstätigkeiten einschließlich Prüfungen, Zer- +tifizierungen und Inspektionen durchführt und dabei als Dritte auftritt; + + +22.„notifizierte Stelle“ eine Konformitätsbewertungsstelle, die gemäß dieser Verordnung und den anderen einschlägigen +Harmonisierungsrechtsvorschriften der Union notifiziert wurde; + + +23.„wesentliche Veränderung“ eine Veränderung eines KI-Systems nach dessen Inverkehrbringen oder Inbetriebnahme, die +in der vom Anbieter durchgeführten ursprünglichen Konformitätsbewertung nicht vorgesehen oder geplant war und +durch die die Konformität des KI-Systems mit den Anforderungen in Kapitel III Abschnitt 2 beeinträchtigt wird oder die +zu einer Änderung der Zweckbestimmung führt, für die das KI-System bewertet wurde; + + +24.„CE-Kennzeichnung“ eine Kennzeichnung, durch die ein Anbieter erklärt, dass ein KI-System die Anforderungen erfüllt, +die in Kapitel III Abschnitt 2 und in anderen anwendbaren Harmonisierungsrechtsvorschriften, die die Anbringung +dieser Kennzeichnung vorsehen, festgelegt sind; + + +25.„System zur Beobachtung nach dem Inverkehrbringen“ alle Tätigkeiten, die Anbieter von KI-Systemen zur Sammlung +und Überprüfung von Erfahrungen mit der Verwendung der von ihnen in Verkehr gebrachten oder in Betrieb +genommenen KI-Systeme durchführen, um festzustellen, ob unverzüglich nötige Korrektur- oder Präventivmaßnahmen +zu ergreifen sind; + + +26.„Marktüberwachungsbehörde“ die nationale Behörde, die die Tätigkeiten durchführt und die Maßnahmen ergreift, die +in der Verordnung (EU) 2019/1020 vorgesehen sind; + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 47/ + + + +27.„harmonisierte Norm“ bezeichnet eine harmonisierte Norm im Sinne des Artikels 2 Absatz 1 Buchstabe c der +Verordnung (EU) Nr. 1025/2012; + + +28.„gemeinsame Spezifikation“ eine Reihe technischer Spezifikationen im Sinne des Artikels 2 Nummer 4 der Verordnung +(EU) Nr. 1025/2012, deren Befolgung es ermöglicht, bestimmte Anforderungen der vorliegenden Verordnung zu +erfüllen; + + +29.„Trainingsdaten“ Daten, die zum Trainieren eines KI-Systems verwendet werden, wobei dessen lernbare Parameter +angepasst werden; + + +30.„Validierungsdaten“ Daten, die zur Evaluation des trainierten KI-Systems und zur Einstellung seiner nicht erlernbaren +Parameter und seines Lernprozesses verwendet werden, um unter anderem eine Unter- oder Überanpassung zu +vermeiden; + + +31.„Validierungsdatensatz“ einen separaten Datensatz oder einen Teil des Trainingsdatensatzes mit fester oder variabler +Aufteilung; + + +32.„Testdaten“ Daten, die für eine unabhängige Bewertung des KI-Systems verwendet werden, um die erwartete Leistung +dieses Systems vor dessen Inverkehrbringen oder Inbetriebnahme zu bestätigen; + + +33.„Eingabedaten“ die in ein KI-System eingespeisten oder von diesem direkt erfassten Daten, auf deren Grundlage das +System eine Ausgabe hervorbringt; + + +34.„biometrische Daten“ mit speziellen technischen Verfahren gewonnene personenbezogene Daten zu den physischen, +physiologischen oder verhaltenstypischen Merkmalen einer natürlichen Person, wie etwa Gesichtsbilder oder +daktyloskopische Daten; + + +35.„biometrische Identifizierung“ die automatisierte Erkennung physischer, physiologischer, verhaltensbezogener oder +psychologischer menschlicher Merkmale zum Zwecke der Feststellung der Identität einer natürlichen Person durch den +Vergleich biometrischer Daten dieser Person mit biometrischen Daten von Personen, die in einer Datenbank gespeichert +sind; + + +36.„biometrische Verifizierung“ die automatisierte Eins-zu-eins-Verifizierung, einschließlich Authentifizierung, der +Identität natürlicher Personen durch den Vergleich ihrer biometrischen Daten mit zuvor bereitgestellten biometrischen +Daten; + + +37.„besondere Kategorien personenbezogener Daten“ die in Artikel 9 Absatz 1der Verordnung (EU) 2016/679, Artikel 10 +der Richtlinie (EU) 2016/680 und Artikel 10 Absatz 1 der Verordnung (EU) 2018/1725 aufgeführten Kategorien +personenbezogener Daten; + + +38.„sensible operative Daten“ operative Daten im Zusammenhang mit Tätigkeiten zur Verhütung, Aufdeckung, +Untersuchung oder Verfolgung von Straftaten, deren Offenlegung die Integrität von Strafverfahren gefährden könnte; + + +39.„Emotionserkennungssystem“ ein KI-System, das dem Zweck dient, Emotionen oder Absichten natürlicher Personen +auf der Grundlage ihrer biometrischen Daten festzustellen oder daraus abzuleiten; + + +40.„System zur biometrischen Kategorisierung“ ein KI-System, das dem Zweck dient, natürliche Personen auf der +Grundlage ihrer biometrischen Daten bestimmten Kategorien zuzuordnen, sofern es sich um eine Nebenfunktion eines +anderen kommerziellen Dienstes handelt und aus objektiven technischen Gründen unbedingt erforderlich ist; + + +41.„biometrisches Fernidentifizierungssystem“ ein KI-System, das dem Zweck dient, natürliche Personen ohne ihre aktive +Einbeziehung und in der Regel aus der Ferne durch Abgleich der biometrischen Daten einer Person mit den in einer +Referenzdatenbank gespeicherten biometrischen Daten zu identifizieren; + + +42.„biometrisches Echtzeit-Fernidentifizierungssystem“ ein biometrisches Fernidentifizierungssystem, bei dem die +Erfassung biometrischer Daten, der Abgleich und die Identifizierung ohne erhebliche Verzögerung erfolgen, und das +zur Vermeidung einer Umgehung der Vorschriften nicht nur die sofortige Identifizierung, sondern auch eine +Identifizierung mit begrenzten kurzen Verzögerungen umfasst; + + +43.„System zur nachträglichen biometrischen Fernidentifizierung“ ein biometrisches Fernidentifizierungssystem, das kein +biometrisches Echtzeit-Fernidentifizierungssystem ist; + + +44.„öffentlich zugänglicher Raum“ einen einer unbestimmten Anzahl natürlicher Personen zugänglichen physischen Ort in +privatem oder öffentlichem Eigentum, unabhängig davon, ob bestimmte Bedingungen für den Zugang gelten, und +unabhängig von möglichen Kapazitätsbeschränkungen; + +# DE ABl. L vom 12.7. + +48/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +45.„Strafverfolgungsbehörde“ + + +a)eine Behörde, die für die Verhütung, Ermittlung, Aufdeckung oder Verfolgung von Straftaten oder die Strafvollstrek- +kung, einschließlich des Schutzes vor und der Abwehr von Gefahren für die öffentliche Sicherheit, zuständig ist, +oder + + +b)eine andere Stelle oder Einrichtung, der durch nationales Recht die Ausübung öffentlicher Gewalt und hoheitlicher +Befugnisse zur Verhütung, Ermittlung, Aufdeckung oder Verfolgung von Straftaten oder zur Strafvollstreckung, +einschließlich des Schutzes vor und der Abwehr von Gefahren für die öffentliche Sicherheit, übertragen wurde; + + +46.„Strafverfolgung“ Tätigkeiten der Strafverfolgungsbehörden oder in deren Auftrag zur Verhütung, Ermittlung, Aufdek- +kung oder Verfolgung von Straftaten oder zur Strafvollstreckung, einschließlich des Schutzes vor und der Abwehr von +Gefahren für die öffentliche Sicherheit; + + +47.„Büro für Künstliche Intelligenz“ die Aufgabe der Kommission, zur Umsetzung, Beobachtung und Überwachung von +KI-Systemen und KI-Modellen mit allgemeinem Verwendungszweck und zu der im Beschluss der Kommission vom + +24. Januar 2024 vorgesehenen KI-Governance beizutragen; Bezugnahmen in dieser Verordnung auf das Büro für +Künstliche Intelligenz gelten als Bezugnahmen auf die Kommission; + + +48.„zuständige nationale Behörde“ eine notifizierende Behörde oder eine Marktüberwachungsbehörde; in Bezug auf +KI-Systeme, die von Organen, Einrichtungen und sonstigen Stellen der Union in Betrieb genommen oder verwendet +werden, sind Bezugnahmen auf die zuständigen nationalen Behörden oder Marktüberwachungsbehörden in dieser +Verordnung als Bezugnahmen auf den Europäischen Datenschutzbeauftragten auszulegen; + + +49.„schwerwiegender Vorfall“ einen Vorfall oder eine Fehlfunktion bezüglich eines KI-Systems, das bzw. die direkt oder +indirekt eine der nachstehenden Folgen hat: + + +a)den Tod oder die schwere gesundheitliche Schädigung einer Person; + + +b)eine schwere und unumkehrbare Störung der Verwaltung oder des Betriebs kritischer Infrastrukturen; + + +c) die Verletzung von Pflichten aus den Unionsrechtsvorschriften zum Schutz der Grundrechte; + + +d)schwere Sach- oder Umweltschäden; + + +50.„personenbezogene Daten“ personenbezogene Daten im Sinne von Artikel 4 Nummer 1 der Verordnung +(EU) 2016/679; + + +51.„nicht personenbezogene Daten“ Daten, die keine personenbezogenen Daten im Sinne von Artikel 4 Nummer 1 der +Verordnung (EU) 2016/679 sind; + + +52.„Profiling“ das Profiling im Sinne von Artikel 4 Nummer 4 der Verordnung (EU) 2016/679; + + +53.„Plan für einen Test unter Realbedingungen“ ein Dokument, in dem die Ziele, die Methodik, der geografische, +bevölkerungsbezogene und zeitliche Umfang, die Überwachung, die Organisation und die Durchführung eines Tests +unter Realbedingungen beschrieben werden; + + +54.„Plan für das Reallabor“ ein zwischen dem teilnehmenden Anbieter und der zuständigen Behörde vereinbartes +Dokument, in dem die Ziele, die Bedingungen, der Zeitrahmen, die Methodik und die Anforderungen für die im +Reallabor durchgeführten Tätigkeiten beschrieben werden; + + +55.„KI-Reallabor“ einen kontrollierten Rahmen, der von einer zuständigen Behörde geschaffen wird und den Anbieter oder +zukünftige Anbieter von KI-Systemen nach einem Plan für das Reallabor einen begrenzten Zeitraum und unter +regulatorischer Aufsicht nutzen können, um ein innovatives KI-System zu entwickeln, zu trainieren, zu validieren +und — gegebenenfalls unter Realbedingungen — zu testen. + + +56.„KI-Kompetenz“ die Fähigkeiten, die Kenntnisse und das Verständnis, die es Anbietern, Betreibern und Betroffenen +unter Berücksichtigung ihrer jeweiligen Rechte und Pflichten im Rahmen dieser Verordnung ermöglichen, KI-Systeme +sachkundig einzusetzen sowie sich der Chancen und Risiken von KI und möglicher Schäden, die sie verursachen kann, +bewusst zu werden. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 49/ + + + +57.„Test unter Realbedingungen“ den befristeten Test eines KI-Systems auf seine Zweckbestimmung, der unter +Realbedingungen außerhalb eines Labors oder einer anderweitig simulierten Umgebung erfolgt, um zuverlässige und +belastbare Daten zu erheben und die Konformität des KI-Systems mit den Anforderungen der vorliegenden Verordnung +zu bewerten und zu überprüfen, wobei dieser Test nicht als Inverkehrbringen oder Inbetriebnahme des KI-Systems im +Sinne dieser Verordnung gilt, sofern alle Bedingungen nach Artikel 57 oder Artikel 60 erfüllt sind; + + +58.„Testteilnehmer“ für die Zwecke eines Tests unter Realbedingungen eine natürliche Person, die an dem Test unter +Realbedingungen teilnimmt; + + +59.„informierte Einwilligung“ eine aus freien Stücken erfolgende, spezifische, eindeutige und freiwillige Erklärung der +Bereitschaft, an einem bestimmten Test unter Realbedingungen teilzunehmen, durch einen Testteilnehmer, nachdem +dieser über alle Aspekte des Tests, die für die Entscheidungsfindung des Testteilnehmers bezüglich der Teilnahme +relevant sind, aufgeklärt wurde; + + +60.„Deepfake“ einen durch KI erzeugten oder manipulierten Bild-, Ton- oder Videoinhalt, der wirklichen Personen, +Gegenständen, Orten, Einrichtungen oder Ereignissen ähnelt und einer Person fälschlicherweise als echt oder +wahrheitsgemäß erscheinen würde; + + +61.„weitverbreiteter Verstoß“ jede Handlung oder Unterlassung, die gegen das Unionsrecht verstößt, das die Interessen von +Einzelpersonen schützt, und die + + +a)die kollektiven Interessen von Einzelpersonen in mindestens zwei anderen Mitgliedstaaten als dem Mitgliedstaat +schädigt oder zu schädigen droht, in dem + + +i)die Handlung oder die Unterlassung ihren Ursprung hatte oder stattfand, + + +ii)der betreffende Anbieter oder gegebenenfalls sein Bevollmächtigter sich befindet oder niedergelassen ist oder + + +iii)der Betreiber niedergelassen ist, sofern der Verstoß vom Betreiber begangen wird, + + +b)die kollektiven Interessen von Einzelpersonen geschädigt hat, schädigt oder schädigen könnte und allgemeine +Merkmale aufweist, einschließlich derselben rechtswidrigen Praxis oder desselben verletzten Interesses, und +gleichzeitig auftritt und von demselben Akteur in mindestens drei Mitgliedstaaten begangen wird; + + +62.„kritische Infrastrukturen“ kritische Infrastrukturen im Sinne von Artikel 2 Nummer 4 der Richtlinie (EU) 2022/2557; + + +63.„KI-Modell mit allgemeinem Verwendungszweck“ ein KI-Modell — einschließlich der Fälle, in denen ein solches +KI-Modell mit einer großen Datenmenge unter umfassender Selbstüberwachung trainiert wird —, das eine erhebliche +allgemeine Verwendbarkeit aufweist und in der Lage ist, unabhängig von der Art und Weise seines Inverkehrbringens +ein breites Spektrum unterschiedlicher Aufgaben kompetent zu erfüllen, und das in eine Vielzahl nachgelagerter +Systeme oder Anwendungen integriert werden kann, ausgenommen KI-Modelle, die vor ihrem Inverkehrbringen für +Forschungs- und Entwicklungstätigkeiten oder die Konzipierung von Prototypen eingesetzt werden; + + +64.„Fähigkeiten mit hoher Wirkkraft“ bezeichnet Fähigkeiten, die den bei den fortschrittlichsten KI-Modellen mit +allgemeinem Verwendungszweck festgestellten Fähigkeiten entsprechen oder diese übersteigen; + + +65.„systemisches Risiko“ ein Risiko, das für die Fähigkeiten mit hoher Wirkkraft von KI-Modellen mit allgemeinem +Verwendungszweck spezifisch ist und aufgrund deren Reichweite oder aufgrund tatsächlicher oder vernünftigerweise +vorhersehbarer negativer Folgen für die öffentliche Gesundheit, die Sicherheit, die öffentliche Sicherheit, die +Grundrechte oder die Gesellschaft insgesamt erhebliche Auswirkungen auf den Unionsmarkt hat, die sich in großem +Umfang über die gesamte Wertschöpfungskette hinweg verbreiten können; + + +66.„KI-System mit allgemeinem Verwendungszweck“ ein KI-System, das auf einem KI-Modell mit allgemeinem +Verwendungszweck beruht und in der Lage ist, einer Vielzahl von Zwecken sowohl für die direkte Verwendung als +auch für die Integration in andere KI-Systeme zu dienen; + + +67.„Gleitkommaoperation“ jede Rechenoperation oder jede Zuweisung mit Gleitkommazahlen, bei denen es sich um eine +Teilmenge der reellen Zahlen handelt, die auf Computern typischerweise durch das Produkt aus einer ganzen Zahl mit +fester Genauigkeit und einer festen Basis mit ganzzahligem Exponenten dargestellt wird; + + +68.„nachgelagerter Anbieter“ einen Anbieter eines KI-Systems, einschließlich eines KI-Systems mit allgemeinem +Verwendungszweck, das ein KI-Modell integriert, unabhängig davon, ob das KI-Modell von ihm selbst bereitgestellt +und vertikal integriert wird oder von einer anderen Einrichtung auf der Grundlage vertraglicher Beziehungen +bereitgestellt wird. + +# DE ABl. L vom 12.7. + +50/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +Artikel 4 + + +KI-Kompetenz + + +Die Anbieter und Betreiber von KI-Systemen ergreifen Maßnahmen, um nach besten Kräften sicherzustellen, dass ihr +Personal und andere Personen, die in ihrem Auftrag mit dem Betrieb und der Nutzung von KI-Systemen befasst sind, über +ein ausreichendes Maß an KI-Kompetenz verfügen, wobei ihre technischen Kenntnisse, ihre Erfahrung, ihre Ausbildung und +Schulung und der Kontext, in dem die KI-Systeme eingesetzt werden sollen, sowie die Personen oder Personengruppen, bei +denen die KI-Systeme eingesetzt werden sollen, zu berücksichtigen sind. + + diff --git a/addons/godot_llama/demo/documents/3.md b/addons/godot_llama/demo/documents/3.md new file mode 100644 index 0000000..f164cbb --- /dev/null +++ b/addons/godot_llama/demo/documents/3.md @@ -0,0 +1,196 @@ +KAPITEL II +VERBOTENE PRAKTIKEN IM KI-BEREICH + + +Artikel 5 + + +Verbotene Praktiken im KI-Bereich + + +(1) Folgende Praktiken im KI-Bereich sind verboten: + + +a)das Inverkehrbringen, die Inbetriebnahme oder die Verwendung eines KI-Systems, das Techniken der unterschwelligen +Beeinflussung außerhalb des Bewusstseins einer Person oder absichtlich manipulative oder täuschende Techniken mit +dem Ziel oder der Wirkung einsetzt, das Verhalten einer Person oder einer Gruppe von Personen wesentlich zu +verändern, indem ihre Fähigkeit, eine fundierte Entscheidung zu treffen, deutlich beeinträchtigt wird, wodurch sie +veranlasst wird, eine Entscheidung zu treffen, die sie andernfalls nicht getroffen hätte, und zwar in einer Weise, die dieser +Person, einer anderen Person oder einer Gruppe von Personen erheblichen Schaden zufügt oder mit hinreichender +Wahrscheinlichkeit zufügen wird. + + +b)das Inverkehrbringen, die Inbetriebnahme oder die Verwendung eines KI-Systems, das eine Vulnerabilität oder +Schutzbedürftigkeit einer natürlichen Person oder einer bestimmten Gruppe von Personen aufgrund ihres Alters, einer +Behinderung oder einer bestimmten sozialen oder wirtschaftlichen Situation mit dem Ziel oder der Wirkung ausnutzt, +das Verhalten dieser Person oder einer dieser Gruppe angehörenden Person in einer Weise wesentlich zu verändern, die +dieser Person oder einer anderen Person erheblichen Schaden zufügt oder mit hinreichender Wahrscheinlichkeit zufügen +wird; + + +c) das Inverkehrbringen, die Inbetriebnahme oder die Verwendung von KI-Systemen zur Bewertung oder Einstufung von +natürlichen Personen oder Gruppen von Personen über einen bestimmten Zeitraum auf der Grundlage ihres sozialen +Verhaltens oder bekannter, abgeleiteter oder vorhergesagter persönlicher Eigenschaften oder Persönlichkeitsmerkmale, +wobei die soziale Bewertung zu einem oder beiden der folgenden Ergebnisse führt: + + +i)Schlechterstellung oder Benachteiligung bestimmter natürlicher Personen oder Gruppen von Personen in sozialen +Zusammenhängen, die in keinem Zusammenhang zu den Umständen stehen, unter denen die Daten ursprünglich +erzeugt oder erhoben wurden; + + +ii)Schlechterstellung oder Benachteiligung bestimmter natürlicher Personen oder Gruppen von Personen in einer Weise, +die im Hinblick auf ihr soziales Verhalten oder dessen Tragweite ungerechtfertigt oder unverhältnismäßig ist; + + +d)das Inverkehrbringen, die Inbetriebnahme für diesen spezifischen Zweck oder die Verwendung eines KI-Systems zur +Durchführung von Risikobewertungen in Bezug auf natürliche Personen, um das Risiko, dass eine natürliche Person eine +Straftat begeht, ausschließlich auf der Grundlage des Profiling einer natürlichen Person oder der Bewertung ihrer +persönlichen Merkmale und Eigenschaften zu bewerten oder vorherzusagen; dieses Verbot gilt nicht für KI-Systeme, die +dazu verwendet werden, die durch Menschen durchgeführte Bewertung der Beteiligung einer Person an einer kriminellen +Aktivität, die sich bereits auf objektive und überprüfbare Tatsachen stützt, die in unmittelbarem Zusammenhang mit +einer kriminellen Aktivität stehen, zu unterstützen; + + +e) das Inverkehrbringen, die Inbetriebnahme für diesen spezifischen Zweck oder die Verwendung von KI-Systemen, die +Datenbanken zur Gesichtserkennung durch das ungezielte Auslesen von Gesichtsbildern aus dem Internet oder von +Überwachungsaufnahmen erstellen oder erweitern; + + +f) das Inverkehrbringen, die Inbetriebnahme für diesen spezifischen Zweck oder die Verwendung von KI-Systemen zur +Ableitung von Emotionen einer natürlichen Person am Arbeitsplatz und in Bildungseinrichtungen, es sei denn, die +Verwendung des KI-Systems soll aus medizinischen Gründen oder Sicherheitsgründen eingeführt oder auf den Markt +gebracht werden; + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 51/ + + + +g)das Inverkehrbringen, die Inbetriebnahme für diesen spezifischen Zweck oder die Verwendung von Systemen zur +biometrischen Kategorisierung, mit denen natürliche Personen individuell auf der Grundlage ihrer biometrischen Daten +kategorisiert werden, um ihre Rasse, ihre politischen Einstellungen, ihre Gewerkschaftszugehörigkeit, ihre religiösen +oder weltanschaulichen Überzeugungen, ihr Sexualleben oder ihre sexuelle Ausrichtung zu erschließen oder abzuleiten; +dieses Verbot gilt nicht für die Kennzeichnung oder Filterung rechtmäßig erworbener biometrischer Datensätze, wie z. B. +Bilder auf der Grundlage biometrischer Daten oder die Kategorisierung biometrischer Daten im Bereich der +Strafverfolgung; + + +h)die Verwendung biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen Räumen zu Straf- +verfolgungszwecken, außer wenn und insoweit dies im Hinblick auf eines der folgenden Ziele unbedingt erforderlich ist: + + +i)gezielte Suche nach bestimmten Opfern von Entführung, Menschenhandel oder sexueller Ausbeutung sowie die +Suche nach vermissten Personen; + + +ii)Abwenden einer konkreten, erheblichen und unmittelbaren Gefahr für das Leben oder die körperliche Unversehrtheit +natürlicher Personen oder einer tatsächlichen und bestehenden oder tatsächlichen und vorhersehbaren Gefahr eines +Terroranschlags; + + +iii)Aufspüren oder Identifizieren einer Person, die der Begehung einer Straftat verdächtigt wird, zum Zwecke der +Durchführung von strafrechtlichen Ermittlungen oder von Strafverfahren oder der Vollstreckung einer Strafe für die +in Anhang II aufgeführten Straftaten, die in dem betreffenden Mitgliedstaat nach dessen Recht mit einer +Freiheitsstrafe oder einer freiheitsentziehenden Maßregel der Sicherung im Höchstmaß von mindestens vier Jahren +bedroht ist. + + +Unterabsatz 1 Buchstabe h gilt unbeschadet des Artikels 9 der Verordnung (EU) 2016/679 für die Verarbeitung +biometrischer Daten zu anderen Zwecken als der Strafverfolgung. + + +(2) Die Verwendung biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen Räumen zu +Strafverfolgungszwecken im Hinblick auf die in Absatz 1 Unterabsatz 1 Buchstabe h genannten Ziele darf für die in +jenem Buchstaben genannten Zwecke nur zur Bestätigung der Identität der speziell betroffenen Person erfolgen, wobei +folgende Elemente berücksichtigt werden: + + +a)die Art der Situation, die der möglichen Verwendung zugrunde liegt, insbesondere die Schwere, die Wahrscheinlichkeit +und das Ausmaß des Schadens, der entstehen würde, wenn das System nicht eingesetzt würde; + + +b)die Folgen der Verwendung des Systems für die Rechte und Freiheiten aller betroffenen Personen, insbesondere die +Schwere, die Wahrscheinlichkeit und das Ausmaß solcher Folgen. + + +Darüber hinaus sind bei der Verwendung biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen +Räumen zu Strafverfolgungszwecken im Hinblick auf die in Absatz 1 Unterabsatz 1 Buchstabe h des vorliegenden Artikels +genannten Ziele notwendige und verhältnismäßige Schutzvorkehrungen und Bedingungen für die Verwendung im Einklang +mit nationalem Recht über die Ermächtigung ihrer Verwendung einzuhalten, insbesondere in Bezug auf die zeitlichen, +geografischen und personenbezogenen Beschränkungen. Die Verwendung biometrischer Echtzeit-Fernidentifizierungs- +systeme in öffentlich zugänglichen Räumen ist nur dann zu gestatten, wenn die Strafverfolgungsbehörde eine +Folgenabschätzung im Hinblick auf die Grundrechte gemäß Artikel 27 abgeschlossen und das System gemäß Artikel 49 +in der EU-Datenbank registriert hat. In hinreichend begründeten dringenden Fällen kann jedoch mit der Verwendung +solcher Systeme zunächst ohne Registrierung in der EU-Datenbank begonnen werden, sofern diese Registrierung +unverzüglich erfolgt. + + +(3) Für die Zwecke des Absatz 1 Unterabsatz 1 Buchstabe h und des Absatzes 2 ist für jede Verwendung eines +biometrischen Echtzeit-Fernidentifizierungssystems in öffentlich zugänglichen Räumen zu Strafverfolgungszwecken eine +vorherige Genehmigung erforderlich, die von einer Justizbehörde oder einer unabhängigen Verwaltungsbehörde des +Mitgliedstaats, in dem die Verwendung erfolgen soll, auf begründeten Antrag und gemäß den in Absatz 5 genannten +detaillierten nationalen Rechtsvorschriften erteilt wird, wobei deren Entscheidung bindend ist. In hinreichend begründeten +dringenden Fällen kann jedoch mit der Verwendung eines solchen Systems zunächst ohne Genehmigung begonnen werden, +sofern eine solche Genehmigung unverzüglich, spätestens jedoch innerhalb von 24 Stunden beantragt wird. Wird eine +solche Genehmigung abgelehnt, so wird die Verwendung mit sofortiger Wirkung eingestellt und werden alle Daten sowie +die Ergebnisse und Ausgaben dieser Verwendung unverzüglich verworfen und gelöscht. + + +Die zuständige Justizbehörde oder eine unabhängige Verwaltungsbehörde, deren Entscheidung bindend ist, erteilt die +Genehmigung nur dann, wenn sie auf der Grundlage objektiver Nachweise oder eindeutiger Hinweise, die ihr vorgelegt +werden, davon überzeugt ist, dass die Verwendung des betreffenden biometrischen Echtzeit-Fernidentifizierungssystems für +das Erreichen eines der in Absatz 1 Unterabsatz 1 Buchstabe h genannten Ziele — wie im Antrag angegeben — notwendig +und verhältnismäßig ist und insbesondere auf das in Bezug auf den Zeitraum sowie den geografischen und persönlichen +Anwendungsbereich unbedingt erforderliche Maß beschränkt bleibt. Bei ihrer Entscheidung über den Antrag berücksichtigt + +# DE ABl. L vom 12.7. + +52/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +diese Behörde die in Absatz 2 genannten Elemente. Eine Entscheidung, aus der sich eine nachteilige Rechtsfolge für eine +Person ergibt, darf nicht ausschließlich auf der Grundlage der Ausgabe des biometrischen Echtzeit-Fernidentifizierungs- +systems getroffen werden. + + +(4) Unbeschadet des Absatzes 3 wird jede Verwendung eines biometrischen Echtzeit-Fernidentifizierungssystems in +öffentlich zugänglichen Räumen zu Strafverfolgungszwecken der zuständigen Marktüberwachungsbehörde und der +nationalen Datenschutzbehörde gemäß den in Absatz 5 genannten nationalen Vorschriften mitgeteilt. Die Mitteilung muss +mindestens die in Absatz 6 genannten Angaben enthalten und darf keine sensiblen operativen Daten enthalten. + + +(5) Ein Mitgliedstaat kann die Möglichkeit einer vollständigen oder teilweisen Ermächtigung zur Verwendung +biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen Räumen zu Strafverfolgungszwecken +innerhalb der in Absatz 1 Unterabsatz 1 Buchstabe h sowie Absätze 2 und 3 aufgeführten Grenzen und unter den dort +genannten Bedingungen vorsehen. Die betreffenden Mitgliedstaaten legen in ihrem nationalen Recht die erforderlichen +detaillierten Vorschriften für die Beantragung, Erteilung und Ausübung der in Absatz 3 genannten Genehmigungen sowie +für die entsprechende Beaufsichtigung und Berichterstattung fest. In diesen Vorschriften wird auch festgelegt, im Hinblick +auf welche der in Absatz 1 Unterabsatz 1 Buchstabe h aufgeführten Ziele und welche der unter Buchstabe h Ziffer iii +genannten Straftaten die zuständigen Behörden ermächtigt werden können, diese Systeme zu Strafverfolgungszwecken zu +verwenden. Die Mitgliedstaaten teilen der Kommission diese Vorschriften spätestens 30 Tage nach ihrem Erlass mit. Die +Mitgliedstaaten können im Einklang mit dem Unionsrecht strengere Rechtsvorschriften für die Verwendung biometrischer +Fernidentifizierungssysteme erlassen. + + +(6) Die nationalen Marktüberwachungsbehörden und die nationalen Datenschutzbehörden der Mitgliedstaaten, denen +gemäß Absatz 4 die Verwendung biometrischer Echtzeit-Fernidentifizierungssysteme in öffentlich zugänglichen Räumen zu +Strafverfolgungszwecken mitgeteilt wurden, legen der Kommission Jahresberichte über diese Verwendung vor. Zu diesem +Zweck stellt die Kommission den Mitgliedstaaten und den nationalen Marktüberwachungs- und Datenschutzbehörden ein +Muster zur Verfügung, das Angaben über die Anzahl der Entscheidungen der zuständigen Justizbehörden oder einer +unabhängigen Verwaltungsbehörde, deren Entscheidung über Genehmigungsanträge gemäß Absatz 3 bindend ist, und +deren Ergebnis enthält. + + +(7) Die Kommission veröffentlicht Jahresberichte über die Verwendung biometrischer Echtzeit-Fernidentifizierungs- +systeme in öffentlich zugänglichen Räumen zu Strafverfolgungszwecken, die auf aggregierten Daten aus den Mitgliedstaaten +auf der Grundlage der in Absatz 6 genannten Jahresberichte beruhen. Diese Jahresberichte dürfen keine sensiblen +operativen Daten im Zusammenhang mit den damit verbundenen Strafverfolgungsmaßnahmen enthalten. + + +(8) Dieser Artikel berührt nicht die Verbote, die gelten, wenn KI-Praktiken gegen andere Rechtsvorschriften der Union +verstoßen. + + + + diff --git a/addons/godot_llama/demo/documents/4.md b/addons/godot_llama/demo/documents/4.md new file mode 100644 index 0000000..c5d650b --- /dev/null +++ b/addons/godot_llama/demo/documents/4.md @@ -0,0 +1,2405 @@ +KAPITEL III +HOCHRISIKO-KI-SYSTEME + + +ABSCHNITT 1 + + +Einstufung von KI-Systemen als Hochrisiko-KI-Systeme + + +Artikel 6 + + +Einstufungsvorschriften für Hochrisiko-KI-Systeme + + +(1) Ungeachtet dessen, ob ein KI-System unabhängig von den unter den Buchstaben a und b genannten Produkten in +Verkehr gebracht oder in Betrieb genommen wird, gilt es als Hochrisiko-KI-System, wenn die beiden folgenden +Bedingungen erfüllt sind: + + +a)das KI-System soll als Sicherheitsbauteil eines unter die in Anhang I aufgeführten Harmonisierungsrechtsvorschriften der +Union fallenden Produkts verwendet werden oder das KI-System ist selbst ein solches Produkt; + + +b)das Produkt, dessen Sicherheitsbauteil gemäß Buchstabe a das KI-System ist, oder das KI-System selbst als Produkt muss +einer Konformitätsbewertung durch Dritte im Hinblick auf das Inverkehrbringen oder die Inbetriebnahme dieses +Produkts gemäß den in Anhang I aufgeführten Harmonisierungsrechtsvorschriften der Union unterzogen werden. + + +(2) Zusätzlich zu den in Absatz 1 genannten Hochrisiko-KI-Systemen gelten die in Anhang III genannten KI-Systeme als +hochriskant. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 53/ + + + +(3) Abweichend von Absatz 2 gilt ein in Anhang III genanntes KI-System nicht als hochriskant, wenn es kein erhebliches +Risiko der Beeinträchtigung in Bezug auf die Gesundheit, Sicherheit oder Grundrechte natürlicher Personen birgt, indem es +unter anderem nicht das Ergebnis der Entscheidungsfindung wesentlich beeinflusst. + + +Unterabsatz 1 gilt, wenn eine der folgenden Bedingungen erfüllt ist: + + +a)das KI-System ist dazu bestimmt, eine eng gefasste Verfahrensaufgabe durchzuführen; + + +b)das KI-System ist dazu bestimmt, das Ergebnis einer zuvor abgeschlossenen menschlichen Tätigkeit zu verbessern; + + +c) das KI-System ist dazu bestimmt, Entscheidungsmuster oder Abweichungen von früheren Entscheidungsmustern zu +erkennen, und ist nicht dazu gedacht, die zuvor abgeschlossene menschliche Bewertung ohne eine angemessene +menschliche Überprüfung zu ersetzen oder zu beeinflussen; oder + + +d)das KI-System ist dazu bestimmt, eine vorbereitende Aufgabe für eine Bewertung durchzuführen, die für die Zwecke der +in Anhang III aufgeführten Anwendungsfälle relevant ist. + + +Ungeachtet des Unterabsatzes 1 gilt ein in Anhang III aufgeführtes KI-System immer dann als hochriskant, wenn es ein +Profiling natürlicher Personen vornimmt. + + +(4) Ein Anbieter, der der Auffassung ist, dass ein in Anhang III aufgeführtes KI-System nicht hochriskant ist, +dokumentiert seine Bewertung, bevor dieses System in Verkehr gebracht oder in Betrieb genommen wird. Dieser Anbieter +unterliegt der Registrierungspflicht gemäß Artikel 49 Absatz 2. Auf Verlangen der zuständigen nationalen Behörden legt +der Anbieter die Dokumentation der Bewertung vor. + + +(5) Die Kommission stellt nach Konsultation des Europäischen Gremiums für Künstliche Intelligenz (im Folgenden +„KI-Gremium“) spätestens bis zum 2. Februar 2026 Leitlinien zur praktischen Umsetzung dieses Artikels gemäß Artikel 96 +und eine umfassende Liste praktischer Beispiele für Anwendungsfälle für KI-Systeme, die hochriskant oder nicht +hochriskant sind, bereit. + + +(6) Die Kommission ist befugt, gemäß Artikel 97 delegierte Rechtsakte zu erlassen, um Absatz 3 Unterabsatz 2 des +vorliegenden Artikels zu ändern, indem neue Bedingungen zu den darin genannten Bedingungen hinzugefügt oder diese +geändert werden, wenn konkrete und zuverlässige Beweise für das Vorhandensein von KI-Systemen vorliegen, die in den +Anwendungsbereich von Anhang III fallen, jedoch kein erhebliches Risiko der Beeinträchtigung in Bezug auf die +Gesundheit, Sicherheit oder Grundrechte natürlicher Personen bergen. + + +(7) Die Kommission erlässt gemäß Artikel 97 delegierte Rechtsakte, um Absatz 3 Unterabsatz 2 des vorliegenden +Artikels zu ändern, indem eine der darin festgelegten Bedingungen gestrichen wird, wenn konkrete und zuverlässige +Beweise dafür vorliegen, dass dies für die Aufrechterhaltung des Schutzniveaus in Bezug auf Gesundheit, Sicherheit und die +in dieser Verordnung vorgesehenen Grundrechte erforderlich ist. + + +(8) Eine Änderung der in Absatz 3 Unterabsatz 2 festgelegten Bedingungen, die gemäß den Absätzen 6 und 7 des +vorliegenden Artikels erlassen wurde, darf das allgemeine Schutzniveau in Bezug auf Gesundheit, Sicherheit und die in +dieser Verordnung vorgesehenen Grundrechte nicht senken; dabei ist die Kohärenz mit den gemäß Artikel 7 Absatz 1 +erlassenen delegierten Rechtsakten sicherzustellen und die Marktentwicklungen und die technologischen Entwicklungen +sind zu berücksichtigen. + + +Artikel 7 + + +Änderungen des Anhangs III + + +(1) Die Kommission ist befugt, gemäß Artikel 97 delegierte Rechtsakte zur Änderung von Anhang III durch +Hinzufügung oder Änderung von Anwendungsfällen für Hochrisiko-KI-Systeme zu erlassen, die beide der folgenden +Bedingungen erfüllen: + + +a)Die KI-Systeme sollen in einem der in Anhang III aufgeführten Bereiche eingesetzt werden; + + +b)die KI-Systeme bergen ein Risiko der Schädigung in Bezug auf die Gesundheit und Sicherheit oder haben nachteilige +Auswirkungen auf die Grundrechte und dieses Risiko gleicht dem Risiko der Schädigung oder den nachteiligen +Auswirkungen, das bzw. die von den in Anhang III bereits genannten Hochrisiko-KI-Systemen ausgeht bzw. ausgehen, +oder übersteigt diese. + +# DE ABl. L vom 12.7. + +54/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(2) Bei der Bewertung der Bedingung gemäß Absatz 1 Buchstabe b berücksichtigt die Kommission folgende Kriterien: + + +a)die Zweckbestimmung des KI-Systems; + + +b)das Ausmaß, in dem ein KI-System verwendet wird oder voraussichtlich verwendet werden wird; + + +c) die Art und den Umfang der vom KI-System verarbeiteten und verwendeten Daten, insbesondere die Frage, ob besondere +Kategorien personenbezogener Daten verarbeitet werden; + + +d)das Ausmaß, in dem das KI-System autonom handelt, und die Möglichkeit, dass ein Mensch eine Entscheidung oder +Empfehlungen, die zu einem potenziellen Schaden führen können, außer Kraft setzt; + + +e) das Ausmaß, in dem durch die Verwendung eines KI-Systems schon die Gesundheit und Sicherheit geschädigt wurden, es +nachteilige Auswirkungen auf die Grundrechte gab oder z. B. nach Berichten oder dokumentierten Behauptungen, die +den zuständigen nationalen Behörden übermittelt werden, oder gegebenenfalls anderen Berichten Anlass zu erheblichen +Bedenken hinsichtlich der Wahrscheinlichkeit eines solchen Schadens oder solcher nachteiligen Auswirkungen besteht; + + +f) das potenzielle Ausmaß solcher Schäden oder nachteiligen Auswirkungen, insbesondere hinsichtlich ihrer Intensität und +ihrer Eignung, mehrere Personen zu beeinträchtigen oder eine bestimmte Gruppe von Personen unverhältnismäßig stark +zu beeinträchtigen; + + +g)das Ausmaß, in dem Personen, die potenziell geschädigt oder negative Auswirkungen erleiden werden, von dem von +einem KI-System hervorgebrachten Ergebnis abhängen, weil es insbesondere aus praktischen oder rechtlichen Gründen +nach vernünftigem Ermessen unmöglich ist, sich diesem Ergebnis zu entziehen; + + +h)das Ausmaß, in dem ein Machtungleichgewicht besteht oder in dem Personen, die potenziell geschädigt oder negative +Auswirkungen erleiden werden, gegenüber dem Betreiber eines KI-Systems schutzbedürftig sind, insbesondere aufgrund +von Status, Autorität, Wissen, wirtschaftlichen oder sozialen Umständen oder Alter; + + +i) das Ausmaß, in dem das mithilfe eines KI-Systems hervorgebrachte Ergebnis unter Berücksichtigung der verfügbaren +technischen Lösungen für seine Korrektur oder Rückgängigmachung leicht zu korrigieren oder rückgängig zu machen +ist, wobei Ergebnisse, die sich auf die Gesundheit, Sicherheit oder Grundrechte von Personen negativ auswirken, nicht als +leicht korrigierbar oder rückgängig zu machen gelten; + + +j) das Ausmaß und die Wahrscheinlichkeit, dass der Einsatz des KI-Systems für Einzelpersonen, Gruppen oder die +Gesellschaft im Allgemeinen, einschließlich möglicher Verbesserungen der Produktsicherheit, nützlich ist; + + +k)das Ausmaß, in dem bestehendes Unionsrecht Folgendes vorsieht: + + +i)wirksame Abhilfemaßnahmen in Bezug auf die Risiken, die von einem KI-System ausgehen, mit Ausnahme von +Schadenersatzansprüchen; + + +ii)wirksame Maßnahmen zur Vermeidung oder wesentlichen Verringerung dieser Risiken. + + +(3) Die Kommission ist befugt, gemäß Artikel 97 delegierte Rechtsakte zur Änderung der Liste in Anhang III zu erlassen, +um Hochrisiko-KI-Systeme zu streichen, die beide der folgenden Bedingungen erfüllen: + + +a)Das betreffende Hochrisiko-KI-System weist unter Berücksichtigung der in Absatz 2 aufgeführten Kriterien keine +erheblichen Risiken mehr für die Grundrechte, Gesundheit oder Sicherheit auf; + + +b)durch die Streichung wird das allgemeine Schutzniveau in Bezug auf Gesundheit, Sicherheit und Grundrechte im +Rahmen des Unionsrechts nicht gesenkt. + + +ABSCHNITT 2 + + +Anforderungen an Hochrisiko-KI-Systeme + + +Artikel 8 + + +Einhaltung der Anforderungen + + +(1) Hochrisiko-KI-Systeme müssen die in diesem Abschnitt festgelegten Anforderungen erfüllen, wobei ihrer +Zweckbestimmung sowie dem allgemein anerkannten Stand der Technik in Bezug auf KI und KI-bezogene Technologien +Rechnung zu tragen ist. Bei der Gewährleistung der Einhaltung dieser Anforderungen wird dem in Artikel 9 genannten +Risikomanagementsystem Rechnung getragen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 55/ + + + +(2) Enthält ein Produkt ein KI-System, für das die Anforderungen dieser Verordnung und die Anforderungen der in +Anhang I Abschnitt A aufgeführten Harmonisierungsrechtsvorschriften der Union gelten, so sind die Anbieter dafür +verantwortlich, sicherzustellen, dass ihr Produkt alle geltenden Anforderungen der geltenden Harmonisierungsrechtsvor- +schriften der Union vollständig erfüllt. Bei der Gewährleistung der Erfüllung der in diesem Abschnitt festgelegten +Anforderungen durch die in Absatz 1 genannten Hochrisiko-KI-Systeme und im Hinblick auf die Gewährleistung der +Kohärenz, der Vermeidung von Doppelarbeit und der Minimierung zusätzlicher Belastungen haben die Anbieter die Wahl, +die erforderlichen Test- und Berichterstattungsverfahren, Informationen und Dokumentationen, die sie im Zusammenhang +mit ihrem Produkt bereitstellen, gegebenenfalls in Dokumentationen und Verfahren zu integrieren, die bereits bestehen und +gemäß den in Anhang I Abschnitt A aufgeführten Harmonisierungsrechtsvorschriften der Union vorgeschrieben sind. + + +Artikel 9 + + +Risikomanagementsystem + + +(1) Für Hochrisiko-KI-Systeme wird ein Risikomanagementsystem eingerichtet, angewandt, dokumentiert und +aufrechterhalten. + + +(2) Das Risikomanagementsystem versteht sich als ein kontinuierlicher iterativer Prozess, der während des gesamten +Lebenszyklus eines Hochrisiko-KI-Systems geplant und durchgeführt wird und eine regelmäßige systematische Überprüfung +und Aktualisierung erfordert. Es umfasst folgende Schritte: + + +a)die Ermittlung und Analyse der bekannten und vernünftigerweise vorhersehbaren Risiken, die vom Hochrisiko-KI- +System für die Gesundheit, Sicherheit oder Grundrechte ausgehen können, wenn es entsprechend seiner +Zweckbestimmung verwendet wird; + + +b)die Abschätzung und Bewertung der Risiken, die entstehen können, wenn das Hochrisiko-KI-System entsprechend seiner +Zweckbestimmung oder im Rahmen einer vernünftigerweise vorhersehbaren Fehlanwendung verwendet wird; + + +c) die Bewertung anderer möglicherweise auftretender Risiken auf der Grundlage der Auswertung der Daten aus dem in +Artikel 72 genannten System zur Beobachtung nach dem Inverkehrbringen; + + +d)die Ergreifung geeigneter und gezielter Risikomanagementmaßnahmen zur Bewältigung der gemäß Buchstabe a ermittel- +ten Risiken. + + +(3) Die in diesem Artikel genannten Risiken betreffen nur solche Risiken, die durch die Entwicklung oder Konzeption des +Hochrisiko-KI-Systems oder durch die Bereitstellung ausreichender technischer Informationen angemessen gemindert oder +behoben werden können. + + +(4) Bei den in Absatz 2 Buchstabe d genannten Risikomanagementmaßnahmen werden die Auswirkungen und +möglichen Wechselwirkungen, die sich aus der kombinierten Anwendung der Anforderungen dieses Abschnitts ergeben, +gebührend berücksichtigt, um die Risiken wirksamer zu minimieren und gleichzeitig ein angemessenes Gleichgewicht bei +der Durchführung der Maßnahmen zur Erfüllung dieser Anforderungen sicherzustellen. + + +(5) Die in Absatz 2 Buchstabe d genannten Risikomanagementmaßnahmen werden so gestaltet, dass jedes mit einer +bestimmten Gefahr verbundene relevante Restrisiko sowie das Gesamtrestrisiko der Hochrisiko-KI-Systeme als vertretbar +beurteilt wird. + + +Bei der Festlegung der am besten geeigneten Risikomanagementmaßnahmen ist Folgendes sicherzustellen: + + +a)soweit technisch möglich, Beseitigung oder Verringerung der gemäß Absatz 2 ermittelten und bewerteten Risiken durch +eine geeignete Konzeption und Entwicklung des Hochrisiko-KI-Systems; + + +b)gegebenenfalls Anwendung angemessener Minderungs- und Kontrollmaßnahmen zur Bewältigung nicht auszuschlie- +ßender Risiken; + + +c) Bereitstellung der gemäß Artikel 13 erforderlichen Informationen und gegebenenfalls entsprechende Schulung der +Betreiber. + + +Zur Beseitigung oder Verringerung der Risiken im Zusammenhang mit der Verwendung des Hochrisiko-KI-Systems werden +die technischen Kenntnisse, die Erfahrungen und der Bildungsstand, die vom Betreiber erwartet werden können, sowie der +voraussichtliche Kontext, in dem das System eingesetzt werden soll, gebührend berücksichtigt. + +# DE ABl. L vom 12.7. + +56/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(6) Hochrisiko-KI-Systeme müssen getestet werden, um die am besten geeigneten gezielten Risikomanagement- +maßnahmen zu ermitteln. Durch das Testen wird sichergestellt, dass Hochrisiko-KI-Systeme stets im Einklang mit ihrer +Zweckbestimmung funktionieren und die Anforderungen dieses Abschnitts erfüllen. + + +(7) Die Testverfahren können einen Test unter Realbedingungen gemäß Artikel 60 umfassen. + + +(8) Das Testen von Hochrisiko-KI-Systemen erfolgt zu jedem geeigneten Zeitpunkt während des gesamten +Entwicklungsprozesses und in jedem Fall vor ihrem Inverkehrbringen oder ihrer Inbetriebnahme. Das Testen erfolgt +anhand vorab festgelegter Metriken und Wahrscheinlichkeitsschwellenwerte, die für die Zweckbestimmung des +Hochrisiko-KI-Systems geeignet sind. + + +(9) Bei der Umsetzung des in den Absätzen 1 bis 7 vorgesehenen Risikomanagementsystems berücksichtigen die +Anbieter, ob angesichts seiner Zweckbestimmung das Hochrisiko-KI-System wahrscheinlich nachteilige Auswirkungen auf +Personen unter 18 Jahren oder gegebenenfalls andere schutzbedürftige Gruppen haben wird. + + +(10) Bei Anbietern von Hochrisiko-KI-Systemen, die den Anforderungen an interne Risikomanagementprozesse gemäß +anderen einschlägigen Bestimmungen des Unionsrechts unterliegen, können die in den Absätzen 1 bis 9 enthaltenen +Aspekte Bestandteil der nach diesem Recht festgelegten Risikomanagementverfahren sein oder mit diesen Verfahren +kombiniert werden. + + +Artikel 10 + + +Daten und Daten-Governance + + +(1) Hochrisiko-KI-Systeme, in denen Techniken eingesetzt werden, bei denen KI-Modelle mit Daten trainiert werden, +müssen mit Trainings-, Validierungs- und Testdatensätzen entwickelt werden, die den in den Absätzen 2 bis 5 genannten +Qualitätskriterien entsprechen, wenn solche Datensätze verwendet werden. + + +(2) Für Trainings-, Validierungs- und Testdatensätze gelten Daten-Governance- und Datenverwaltungsverfahren, die für +die Zweckbestimmung des Hochrisiko-KI-Systems geeignet sind. Diese Verfahren betreffen insbesondere + + +a)die einschlägigen konzeptionellen Entscheidungen, + + +b)die Datenerhebungsverfahren und die Herkunft der Daten und im Falle personenbezogener Daten den ursprünglichen +Zweck der Datenerhebung, + + +c) relevante Datenaufbereitungsvorgänge wie Annotation, Kennzeichnung, Bereinigung, Aktualisierung, Anreicherung und +Aggregierung, + + +d)die Aufstellung von Annahmen, insbesondere in Bezug auf die Informationen, die mit den Daten erfasst und dargestellt +werden sollen, + + +e) eine Bewertung der Verfügbarkeit, Menge und Eignung der benötigten Datensätze, + + +f) eine Untersuchung im Hinblick auf mögliche Verzerrungen (Bias), die die Gesundheit und Sicherheit von Personen +beeinträchtigen, sich negativ auf die Grundrechte auswirken oder zu einer nach den Rechtsvorschriften der Union +verbotenen Diskriminierung führen könnten, insbesondere wenn die Datenausgaben die Eingaben für künftige +Operationen beeinflussen, + + +g)geeignete Maßnahmen zur Erkennung, Verhinderung und Abschwächung möglicher gemäß Buchstabe f ermittelter +Verzerrungen, + + +h)die Ermittlung relevanter Datenlücken oder Mängel, die der Einhaltung dieser Verordnung entgegenstehen, und wie diese +Lücken und Mängel behoben werden können. + + +(3) Die Trainings-, Validierungs- und Testdatensätze müssen im Hinblick auf die Zweckbestimmung relevant, +hinreichend repräsentativ und so weit wie möglich fehlerfrei und vollständig sein. Sie müssen die geeigneten statistischen +Merkmale, gegebenenfalls auch bezüglich der Personen oder Personengruppen, für die das Hochrisiko-KI-System +bestimmungsgemäß verwendet werden soll, haben. Diese Merkmale der Datensätze können auf der Ebene einzelner +Datensätze oder auf der Ebene einer Kombination davon erfüllt werden. + + +(4) Die Datensätze müssen, soweit dies für die Zweckbestimmung erforderlich ist, die entsprechenden Merkmale oder +Elemente berücksichtigen, die für die besonderen geografischen, kontextuellen, verhaltensbezogenen oder funktionalen +Rahmenbedingungen, unter denen das Hochrisiko-KI-System bestimmungsgemäß verwendet werden soll, typisch sind. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 57/ + + + +(5) Soweit dies für die Erkennung und Korrektur von Verzerrungen im Zusammenhang mit Hochrisiko-KI-Systemen im +Einklang mit Absatz 2 Buchstaben f und g dieses Artikels unbedingt erforderlich ist, dürfen die Anbieter solcher Systeme +ausnahmsweise besondere Kategorien personenbezogener Daten verarbeiten, wobei sie angemessene Vorkehrungen für den +Schutz der Grundrechte und Grundfreiheiten natürlicher Personen treffen müssen. Zusätzlich zu den Bestimmungen der +Verordnungen (EU) 2016/679 und (EU) 2018/1725 und der Richtlinie (EU) 2016/680 müssen alle folgenden Bedingungen +erfüllt sein, damit eine solche Verarbeitung stattfinden kann: + + +a)Die Erkennung und Korrektur von Verzerrungen kann durch die Verarbeitung anderer Daten, einschließlich +synthetischer oder anonymisierter Daten, nicht effektiv durchgeführt werden; + + +b)die besonderen Kategorien personenbezogener Daten unterliegen technischen Beschränkungen einer Weiterverwendung +der personenbezogenen Daten und modernsten Sicherheits- und Datenschutzmaßnahmen, einschließlich Pseudonymi- +sierung; + + +c) die besonderen Kategorien personenbezogener Daten unterliegen Maßnahmen, mit denen sichergestellt wird, dass die +verarbeiteten personenbezogenen Daten gesichert, geschützt und Gegenstand angemessener Sicherheitsvorkehrungen +sind, wozu auch strenge Kontrollen des Zugriffs und seine Dokumentation gehören, um Missbrauch zu verhindern und +sicherzustellen, dass nur befugte Personen Zugang zu diesen personenbezogenen Daten mit angemessenen +Vertraulichkeitspflichten haben; + + +d)die besonderen Kategorien personenbezogener Daten werden nicht an Dritte übermittelt oder übertragen, noch haben +diese Dritten anderweitigen Zugang zu diesen Daten; + + +e) die besonderen Kategorien personenbezogener Daten werden gelöscht, sobald die Verzerrung korrigiert wurde oder das +Ende der Speicherfrist für die personenbezogenen Daten erreicht ist, je nachdem, was zuerst eintritt; + + +f) die Aufzeichnungen über Verarbeitungstätigkeiten gemäß den Verordnungen (EU) 2016/679 und (EU) 2018/1725 und +der Richtlinie (EU) 2016/680 enthalten die Gründe, warum die Verarbeitung besonderer Kategorien personenbezogener +Daten für die Erkennung und Korrektur von Verzerrungen unbedingt erforderlich war und warum dieses Ziel mit der +Verarbeitung anderer Daten nicht erreicht werden konnte. + + +(6) Bei der Entwicklung von Hochrisiko-KI-Systemen, in denen keine Techniken eingesetzt werden, bei denen KI-Modelle +trainiert werden, gelten die Absätze 2 bis 5 nur für Testdatensätze. + + +Artikel 11 +Technische Dokumentation + + +(1) Die technische Dokumentation eines Hochrisiko-KI-Systems wird erstellt, bevor dieses System in Verkehr gebracht +oder in Betrieb genommen wird, und ist auf dem neuesten Stand zu halten. + + +Die technische Dokumentation wird so erstellt, dass aus ihr der Nachweis hervorgeht, wie das Hochrisiko-KI-System die +Anforderungen dieses Abschnitts erfüllt, und dass den zuständigen nationalen Behörden und den notifizierten Stellen die +Informationen in klarer und verständlicher Form zur Verfügung stehen, die erforderlich sind, um zu beurteilen, ob das +KI-System diese Anforderungen erfüllt. Sie enthält zumindest die in Anhang IV genannten Angaben. KMU, einschließlich +Start-up-Unternehmen, können die in Anhang IV aufgeführten Elemente der technischen Dokumentation in vereinfachter +Weise bereitstellen. Zu diesem Zweck erstellt die Kommission ein vereinfachtes Formular für die technische +Dokumentation, das auf die Bedürfnisse von kleinen Unternehmen und Kleinstunternehmen zugeschnitten ist. Entscheidet +sich ein KMU, einschließlich Start-up-Unternehmen, für eine vereinfachte Bereitstellung der in Anhang IV vorgeschriebenen +Angaben, so verwendet es das in diesem Absatz genannte Formular. Die notifizierten Stellen akzeptieren das Formular für +die Zwecke der Konformitätsbewertung. + + +(2) Wird ein Hochrisiko-KI-System, das mit einem Produkt verbunden ist, das unter die in Anhang I Abschnitt A auf- +geführten Harmonisierungsrechtsvorschriften der Union fällt, in Verkehr gebracht oder in Betrieb genommen, so wird eine +einzige technische Dokumentation erstellt, die alle in Absatz 1 genannten Informationen sowie die nach diesen Rechtsakten +erforderlichen Informationen enthält. + + +(3) Die Kommission ist befugt, wenn dies nötig ist, gemäß Artikel 97 delegierte Rechtsakte zur Änderung des +Anhangs IV zu erlassen, damit die technische Dokumentation in Anbetracht des technischen Fortschritts stets alle +Informationen enthält, die erforderlich sind, um zu beurteilen, ob das System die Anforderungen dieses Abschnitts erfüllt. + +# DE ABl. L vom 12.7. + +58/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Artikel 12 + + +Aufzeichnungspflichten + + +(1) Die Technik der Hochrisiko-KI-Systeme muss die automatische Aufzeichnung von Ereignissen (im Folgenden +„Protokollierung“) während des Lebenszyklus des Systems ermöglichen. + + +(2) Zur Gewährleistung, dass das Funktionieren des Hochrisiko-KI-Systems in einem der Zweckbestimmung des Systems +angemessenen Maße rückverfolgbar ist, ermöglichen die Protokollierungsfunktionen die Aufzeichnung von Ereignissen, die +für Folgendes relevant sind: + + +a)die Ermittlung von Situationen, die dazu führen können, dass das Hochrisiko-KI-System ein Risiko im Sinne des +Artikels 79 Absatz 1 birgt oder dass es zu einer wesentlichen Änderung kommt, + + +b)die Erleichterung der Beobachtung nach dem Inverkehrbringen gemäß Artikel 72 und + + +c) die Überwachung des Betriebs der Hochrisiko-KI-Systeme gemäß Artikel 26 Absatz 5. + + +(3) Die Protokollierungsfunktionen der in Anhang III Nummer 1 Buchstabe a genannten Hochrisiko-KI-Systeme müssen +zumindest Folgendes umfassen: + + +a)Aufzeichnung jedes Zeitraums der Verwendung des Systems (Datum und Uhrzeit des Beginns und des Endes jeder +Verwendung); + + +b)die Referenzdatenbank, mit der das System die Eingabedaten abgleicht; + + +c) die Eingabedaten, mit denen die Abfrage zu einer Übereinstimmung geführt hat; + + +d)die Identität der gemäß Artikel 14 Absatz 5 an der Überprüfung der Ergebnisse beteiligten natürlichen Personen. + + +Artikel 13 + + +Transparenz und Bereitstellung von Informationen für die Betreiber + + +(1) Hochrisiko-KI-Systeme werden so konzipiert und entwickelt, dass ihr Betrieb hinreichend transparent ist, damit die +Betreiber die Ausgaben eines Systems angemessen interpretieren und verwenden können. Die Transparenz wird auf eine +geeignete Art und in einem angemessenen Maß gewährleistet, damit die Anbieter und Betreiber ihre in Abschnitt 3 +festgelegten einschlägigen Pflichten erfüllen können. + + +(2) Hochrisiko-KI-Systeme werden mit Betriebsanleitungen in einem geeigneten digitalen Format bereitgestellt oder auf +andere Weise mit Betriebsanleitungen versehen, die präzise, vollständige, korrekte und eindeutige Informationen in einer für +die Betreiber relevanten, barrierefrei zugänglichen und verständlichen Form enthalten. + + +(3) Die Betriebsanleitungen enthalten mindestens folgende Informationen: + + +a)den Namen und die Kontaktangaben des Anbieters sowie gegebenenfalls seines Bevollmächtigten; + + +b)die Merkmale, Fähigkeiten und Leistungsgrenzen des Hochrisiko-KI-Systems, einschließlich + + +i)seiner Zweckbestimmung, + + +ii)des Maßes an Genauigkeit — einschließlich diesbezüglicher Metriken —, Robustheit und Cybersicherheit gemäß +Artikel 15, für das das Hochrisiko-KI-System getestet und validiert wurde und das zu erwarten ist, sowie aller +bekannten und vorhersehbaren Umstände, die sich auf das erwartete Maß an Genauigkeit, Robustheit und +Cybersicherheit auswirken können; + + +iii)aller bekannten oder vorhersehbaren Umstände bezüglich der Verwendung des Hochrisiko-KI-Systems im Einklang +mit seiner Zweckbestimmung oder einer vernünftigerweise vorhersehbaren Fehlanwendung, die zu den in Artikel 9 +Absatz 2 genannten Risiken für die Gesundheit und Sicherheit oder die Grundrechte führen können, + + +iv)gegebenenfalls der technischen Fähigkeiten und Merkmale des Hochrisiko-KI-Systems, um Informationen +bereitzustellen, die zur Erläuterung seiner Ausgaben relevant sind; + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 59/ + + + +v)gegebenenfalls seiner Leistung in Bezug auf bestimmte Personen oder Personengruppen, auf die das System +bestimmungsgemäß angewandt werden soll; + + +vi)gegebenenfalls der Spezifikationen für die Eingabedaten oder sonstiger relevanter Informationen über die +verwendeten Trainings-, Validierungs- und Testdatensätze, unter Berücksichtigung der Zweckbestimmung des +Hochrisiko-KI-Systems; + + +vii)gegebenenfalls Informationen, die es den Betreibern ermöglichen, die Ausgabe des Hochrisiko-KI-Systems zu +interpretieren und es angemessen zu nutzen; + + +c) etwaige Änderungen des Hochrisiko-KI-Systems und seiner Leistung, die der Anbieter zum Zeitpunkt der ersten +Konformitätsbewertung vorab bestimmt hat; + + +d)die in Artikel 14 genannten Maßnahmen zur Gewährleistung der menschlichen Aufsicht, einschließlich der technischen +Maßnahmen, die getroffen wurden, um den Betreibern die Interpretation der Ausgaben von Hochrisiko-KI-Systemen zu +erleichtern; + + +e) die erforderlichen Rechen- und Hardware-Ressourcen, die erwartete Lebensdauer des Hochrisiko-KI-Systems und alle +erforderlichen Wartungs- und Pflegemaßnahmen einschließlich deren Häufigkeit zur Gewährleistung des ordnungsge- +mäßen Funktionierens dieses KI-Systems, auch in Bezug auf Software-Updates; + + +f) gegebenenfalls eine Beschreibung der in das Hochrisiko-KI-System integrierten Mechanismen, die es den Betreibern +ermöglicht, die Protokolle im Einklang mit Artikel 12 ordnungsgemäß zu erfassen, zu speichern und auszuwerten. + + +Artikel 14 +Menschliche Aufsicht + + +(1) Hochrisiko-KI-Systeme werden so konzipiert und entwickelt, dass sie während der Dauer ihrer Verwendung — auch +mit geeigneten Instrumenten einer Mensch-Maschine-Schnittstelle — von natürlichen Personen wirksam beaufsichtigt +werden können. + + +(2) Die menschliche Aufsicht dient der Verhinderung oder Minimierung der Risiken für Gesundheit, Sicherheit oder +Grundrechte, die entstehen können, wenn ein Hochrisiko-KI-System im Einklang mit seiner Zweckbestimmung oder im +Rahmen einer vernünftigerweise vorhersehbaren Fehlanwendung verwendet wird, insbesondere wenn solche Risiken trotz +der Einhaltung anderer Anforderungen dieses Abschnitts fortbestehen. + + +(3) Die Aufsichtsmaßnahmen müssen den Risiken, dem Grad der Autonomie und dem Kontext der Nutzung des +Hochrisiko-KI-Systems angemessen sein und werden durch eine oder beide der folgenden Arten von Vorkehrungen +gewährleistet: + + +a)Vorkehrungen, die vor dem Inverkehrbringen oder der Inbetriebnahme vom Anbieter bestimmt und, sofern technisch +machbar, in das Hochrisiko-KI-System eingebaut werden; + + +b)Vorkehrungen, die vor dem Inverkehrbringen oder der Inbetriebnahme des Hochrisiko-KI-Systems vom Anbieter +bestimmt werden und dazu geeignet sind, vom Betreiber umgesetzt zu werden. + + +(4) Für die Zwecke der Durchführung der Absätze 1, 2 und 3 wird das Hochrisiko-KI-System dem Betreiber so zur +Verfügung gestellt, dass die natürlichen Personen, denen die menschliche Aufsicht übertragen wurde, angemessen und +verhältnismäßig in der Lage sind, + + +a)die einschlägigen Fähigkeiten und Grenzen des Hochrisiko-KI-Systems angemessen zu verstehen und seinen Betrieb +ordnungsgemäß zu überwachen, einschließlich in Bezug auf das Erkennen und Beheben von Anomalien, Fehlfunktionen +und unerwarteter Leistung; + + +b)sich einer möglichen Neigung zu einem automatischen oder übermäßigen Vertrauen in die von einem Hochrisiko- +KI-System hervorgebrachte Ausgabe („Automatisierungsbias“) bewusst zu bleiben, insbesondere wenn Hochrisiko- +KI-Systeme Informationen oder Empfehlungen ausgeben, auf deren Grundlage natürliche Personen Entscheidungen +treffen; + + +c) die Ausgabe des Hochrisiko-KI-Systems richtig zu interpretieren, wobei beispielsweise die vorhandenen Interpreta- +tionsinstrumente und -methoden zu berücksichtigen sind; + +# DE ABl. L vom 12.7. + +60/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +d)in einer bestimmten Situation zu beschließen, das Hochrisiko-KI-System nicht zu verwenden oder die Ausgabe des +Hochrisiko-KI-Systems außer Acht zu lassen, außer Kraft zu setzen oder rückgängig zu machen; + + +e) in den Betrieb des Hochrisiko-KI-Systems einzugreifen oder den Systembetrieb mit einer „Stopptaste“ oder einem +ähnlichen Verfahren zu unterbrechen, was dem System ermöglicht, in einem sicheren Zustand zum Stillstand zu +kommen. + + +(5) Bei den in Anhang III Nummer 1 Buchstabe a genannten Hochrisiko-KI-Systemen müssen die in Absatz 3 des +vorliegenden Artikels genannten Vorkehrungen so gestaltet sein, dass außerdem der Betreiber keine Maßnahmen oder +Entscheidungen allein aufgrund des vom System hervorgebrachten Identifizierungsergebnisses trifft, solange diese +Identifizierung nicht von mindestens zwei natürlichen Personen, die die notwendige Kompetenz, Ausbildung und Befugnis +besitzen, getrennt überprüft und bestätigt wurde. + + +Die Anforderung einer getrennten Überprüfung durch mindestens zwei natürliche Personen gilt nicht für Hochrisiko- +KI-Systeme, die für Zwecke in den Bereichen Strafverfolgung, Migration, Grenzkontrolle oder Asyl verwendet werden, wenn +die Anwendung dieser Anforderung nach Unionsrecht oder nationalem Recht unverhältnismäßig wäre. + + +Artikel 15 + + +Genauigkeit, Robustheit und Cybersicherheit + + +(1) Hochrisiko-KI-Systeme werden so konzipiert und entwickelt, dass sie ein angemessenes Maß an Genauigkeit, +Robustheit und Cybersicherheit erreichen und in dieser Hinsicht während ihres gesamten Lebenszyklus beständig +funktionieren. + + +(2) Um die technischen Aspekte der Art und Weise der Messung des angemessenen Maßes an Genauigkeit und +Robustheit gemäß Absatz 1 und anderer einschlägiger Leistungsmetriken anzugehen, fördert die Kommission in +Zusammenarbeit mit einschlägigen Interessenträgern und Organisationen wie Metrologie- und Benchmarking-Behörden +gegebenenfalls die Entwicklung von Benchmarks und Messmethoden. + + +(3) Die Maße an Genauigkeit und die relevanten Genauigkeitsmetriken von Hochrisiko-KI-Systemen werden in den ihnen +beigefügten Betriebsanleitungen angegeben. + + +(4) Hochrisiko-KI-Systeme müssen so widerstandsfähig wie möglich gegenüber Fehlern, Störungen oder Unstimmig- +keiten sein, die innerhalb des Systems oder der Umgebung, in der das System betrieben wird, insbesondere wegen seiner +Interaktion mit natürlichen Personen oder anderen Systemen, auftreten können. In diesem Zusammenhang sind technische +und organisatorische Maßnahmen zu ergreifen. + + +Die Robustheit von Hochrisiko-KI-Systemen kann durch technische Redundanz erreicht werden, was auch Sicherungs- oder +Störungssicherheitspläne umfassen kann. + + +Hochrisiko-KI-Systeme, die nach dem Inverkehrbringen oder der Inbetriebnahme weiterhin dazulernen, sind so zu +entwickeln, dass das Risiko möglicherweise verzerrter Ausgaben, die künftige Vorgänge beeinflussen („Rückkopplungs- +schleifen“), beseitigt oder so gering wie möglich gehalten wird und sichergestellt wird, dass auf solche Rück- +kopplungsschleifen angemessen mit geeigneten Risikominderungsmaßnahmen eingegangen wird. + + +(5) Hochrisiko-KI-Systeme müssen widerstandsfähig gegen Versuche unbefugter Dritter sein, ihre Verwendung, +Ausgaben oder Leistung durch Ausnutzung von Systemschwachstellen zu verändern. + + +Die technischen Lösungen zur Gewährleistung der Cybersicherheit von Hochrisiko-KI-Systemen müssen den jeweiligen +Umständen und Risiken angemessen sein. + + +Die technischen Lösungen für den Umgang mit KI-spezifischen Schwachstellen umfassen gegebenenfalls Maßnahmen, um +Angriffe, mit denen versucht wird, eine Manipulation des Trainingsdatensatzes („data poisoning“) oder vortrainierter +Komponenten, die beim Training verwendet werden („model poisoning“), vorzunehmen, Eingabedaten, die das KI-Modell zu +Fehlern verleiten sollen („adversarial examples“ oder „model evasions“), Angriffe auf vertrauliche Daten oder Modellmängel +zu verhüten, zu erkennen, darauf zu reagieren, sie zu beseitigen und zu kontrollieren. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 61/ + + + +ABSCHNITT 3 + + +Pflichten der Anbieter und Betreiber von Hochrisiko-KI-Systemen und anderer Beteiligter + + +Artikel 16 + + +Pflichten der Anbieter von Hochrisiko-KI-Systemen + + +Anbieter von Hochrisiko-KI-Systemen müssen + + +a)sicherstellen, dass ihre Hochrisiko-KI-Systeme die in Abschnitt 2 festgelegten Anforderungen erfüllen; + + +b)auf dem Hochrisiko-KI-System oder, falls dies nicht möglich ist, auf seiner Verpackung oder in der beigefügten +Dokumentation ihren Namen, ihren eingetragenen Handelsnamen bzw. ihre eingetragene Handelsmarke und ihre +Kontaktanschrift angeben; + + +c) über ein Qualitätsmanagementsystem verfügen, das Artikel 17 entspricht; + + +d)die in Artikel 18 genannte Dokumentation aufbewahren; + + +e) die von ihren Hochrisiko-KI-Systemen automatisch erzeugten Protokolle gemäß Artikel 19 aufbewahren, wenn diese +ihrer Kontrolle unterliegen; + + +f) sicherstellen, dass das Hochrisiko-KI-System dem betreffenden Konformitätsbewertungsverfahren gemäß Artikel 43 +unterzogen wird, bevor es in Verkehr gebracht oder in Betrieb genommen wird; + + +g)eine EU-Konformitätserklärung gemäß Artikel 47 ausstellen; + + +h)die CE-Kennzeichnung an das Hochrisiko-KI-System oder, falls dies nicht möglich ist, auf seiner Verpackung oder in der +beigefügten Dokumentation anbringen, um Konformität mit dieser Verordnung gemäß Artikel 48 anzuzeigen; + + +i) den in Artikel 49 Absatz 1 genannten Registrierungspflichten nachkommen; + + +j) die erforderlichen Korrekturmaßnahmen ergreifen und die gemäß Artikel 20 erforderlichen Informationen bereitstellen; + + +k)auf begründete Anfrage einer zuständigen nationalen Behörde nachweisen, dass das Hochrisiko-KI-System die +Anforderungen in Abschnitt 2 erfüllt; + + +l) sicherstellen, dass das Hochrisiko-KI-System die Barrierefreiheitsanforderungen gemäß den Richtlinien (EU) 2016/ +und (EU) 2019/882 erfüllt. + + +Artikel 17 + + +Qualitätsmanagementsystem + + +(1) Anbieter von Hochrisiko-KI-Systemen richten ein Qualitätsmanagementsystem ein, das die Einhaltung dieser +Verordnung gewährleistet. Dieses System wird systematisch und ordnungsgemäß in Form schriftlicher Regeln, Verfahren +und Anweisungen dokumentiert und umfasst mindestens folgende Aspekte: + + +a) ein Konzept zur Einhaltung der Regulierungsvorschriften, was die Einhaltung der Konformitätsbewertungsverfahren +und der Verfahren für das Management von Änderungen an dem Hochrisiko-KI-System miteinschließt; + + +b) Techniken, Verfahren und systematische Maßnahmen für den Entwurf, die Entwurfskontrolle und die Entwurfsprüfung +des Hochrisiko-KI-Systems; + + +c) Techniken, Verfahren und systematische Maßnahmen für die Entwicklung, Qualitätskontrolle und Qualitätssicherung +des Hochrisiko-KI-Systems; + + +d) Untersuchungs-, Test- und Validierungsverfahren, die vor, während und nach der Entwicklung des Hochrisiko- +KI-Systems durchzuführen sind, und die Häufigkeit der Durchführung; + +# DE ABl. L vom 12.7. + +62/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +e) die technischen Spezifikationen und Normen, die anzuwenden sind und, falls die einschlägigen harmonisierten Normen +nicht vollständig angewandt werden oder sie nicht alle relevanten Anforderungen gemäß Abschnitt 2 abdecken, die +Mittel, mit denen gewährleistet werden soll, dass das Hochrisiko-KI-System diese Anforderungen erfüllt; + + +f) Systeme und Verfahren für das Datenmanagement, einschließlich Datengewinnung, Datenerhebung, Datenanalyse, +Datenkennzeichnung, Datenspeicherung, Datenfilterung, Datenauswertung, Datenaggregation, Vorratsdatenspeiche- +rung und sonstiger Vorgänge in Bezug auf die Daten, die im Vorfeld und für die Zwecke des Inverkehrbringens oder der +Inbetriebnahme von Hochrisiko-KI-Systemen durchgeführt werden; + + +g) das in Artikel 9 genannte Risikomanagementsystem; + + +h) die Einrichtung, Anwendung und Aufrechterhaltung eines Systems zur Beobachtung nach dem Inverkehrbringen gemäß +Artikel 72; + + +i) Verfahren zur Meldung eines schwerwiegenden Vorfalls gemäß Artikel 73; + + +j) die Handhabung der Kommunikation mit zuständigen nationalen Behörden, anderen einschlägigen Behörden, auch +Behörden, die den Zugang zu Daten gewähren oder erleichtern, notifizierten Stellen, anderen Akteuren, Kunden oder +sonstigen interessierten Kreisen; + + +k) Systeme und Verfahren für die Aufzeichnung sämtlicher einschlägigen Dokumentation und Informationen; + + +l) Ressourcenmanagement, einschließlich Maßnahmen im Hinblick auf die Versorgungssicherheit; + + +m)einen Rechenschaftsrahmen, der die Verantwortlichkeiten der Leitung und des sonstigen Personals in Bezug auf alle in +diesem Absatz aufgeführten Aspekte regelt. + + +(2) Die Umsetzung der in Absatz 1 genannten Aspekte erfolgt in einem angemessenen Verhältnis zur Größe der +Organisation des Anbieters. Die Anbieter müssen in jedem Fall den Grad der Strenge und das Schutzniveau einhalten, die +erforderlich sind, um die Übereinstimmung ihrer Hochrisiko-KI-Systeme mit dieser Verordnung sicherzustellen. + + +(3) Anbieter von Hochrisiko-KI-Systemen, die Pflichten in Bezug auf Qualitätsmanagementsysteme oder eine +gleichwertige Funktion gemäß den sektorspezifischen Rechtsvorschriften der Union unterliegen, können die in Absatz 1 +aufgeführten Aspekte als Bestandteil der nach den genannten Rechtsvorschriften festgelegten Qualitätsmanagementsysteme +einbeziehen. + + +(4) Bei Anbietern, die Finanzinstitute sind und gemäß den Rechtsvorschriften der Union über Finanzdienstleistungen +Anforderungen in Bezug auf ihre Regelungen oder Verfahren der internen Unternehmensführung unterliegen, gilt die +Pflicht zur Einrichtung eines Qualitätsmanagementsystems — mit Ausnahme des Absatzes 1 Buchstaben g, h und i des +vorliegenden Artikels — als erfüllt, wenn die Vorschriften über Regelungen oder Verfahren der internen Unternehmens- +führung gemäß dem einschlägigen Unionsrecht über Finanzdienstleistungen eingehalten werden. Zu diesem Zweck werden +die in Artikel 40 genannten harmonisierten Normen berücksichtigt. + + +Artikel 18 + + +Aufbewahrung der Dokumentation + + +(1) Der Anbieter hält für einen Zeitraum von zehn Jahren ab dem Inverkehrbringen oder der Inbetriebnahme des +Hochrisiko-KI-Systems folgende Unterlagen für die zuständigen nationalen Behörden bereit: + + +a)die in Artikel 11 genannte technische Dokumentation; + + +b)die Dokumentation zu dem in Artikel 17 genannten Qualitätsmanagementsystem; + + +c) die Dokumentation über etwaige von notifizierten Stellen genehmigte Änderungen; + + +d)gegebenenfalls die von den notifizierten Stellen ausgestellten Entscheidungen und sonstigen Dokumente; + + +e) die in Artikel 47 genannte EU-Konformitätserklärung. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 63/ + + + +(2) Jeder Mitgliedstaat legt die Bedingungen fest, unter denen die in Absatz 1 genannte Dokumentation für die +zuständigen nationalen Behörden für den in dem genannten Absatz angegebenen Zeitraum bereitgehalten wird, für den Fall, +dass ein Anbieter oder sein in demselben Hoheitsgebiet niedergelassener Bevollmächtigter vor Ende dieses Zeitraums in +Konkurs geht oder seine Tätigkeit aufgibt. + + +(3) Anbieter, die Finanzinstitute sind und gemäß dem Unionsrecht über Finanzdienstleistungen Anforderungen in Bezug +auf ihre Regelungen oder Verfahren der internen Unternehmensführung unterliegen, pflegen die technische Dokumentation +als Teil der gemäß dem Unionsrecht über Finanzdienstleistungen aufzubewahrenden Dokumentation. + + +Artikel 19 +Automatisch erzeugte Protokolle + + +(1) Anbieter von Hochrisiko-KI-Systemen bewahren die von ihren Hochrisiko-KI-Systemen automatisch erzeugten +Protokolle gemäß Artikel 12 Absatz 1 auf, soweit diese Protokolle ihrer Kontrolle unterliegen. Unbeschadet des geltenden +Unionsrechts oder nationalen Rechts werden die Protokolle für einen der Zweckbestimmung des Hochrisiko-KI-Systems +angemessenen Zeitraum von mindestens sechs Monaten aufbewahrt, sofern in den geltenden Rechtsvorschriften der Union, +insbesondere im Unionsrecht zum Schutz personenbezogener Daten, oder im geltenden nationalen Recht nichts anderes +vorgesehen ist. + + +(2) Anbieter, die Finanzinstitute sind und gemäß den Rechtsvorschriften der Union über Finanzdienstleistungen +Anforderungen in Bezug auf ihre Regelungen oder Verfahren der internen Unternehmensführung, unterliegen, bewahren +die von ihren Hochrisiko-KI-Systemen automatisch erzeugten Protokolle als Teil der gemäß dem einschlägigen Unionsrecht +über Finanzdienstleistungen aufzubewahrenden Dokumentation auf. + + +Artikel 20 + + +Korrekturmaßnahmen und Informationspflicht + + +(1) Anbieter von Hochrisiko-KI-Systemen, die der Auffassung sind oder Grund zu der Annahme haben, dass ein von +ihnen in Verkehr gebrachtes oder in Betrieb genommenes Hochrisiko-KI-System nicht dieser Verordnung entspricht, +ergreifen unverzüglich die erforderlichen Korrekturmaßnahmen, um die Konformität dieses Systems herzustellen oder es +gegebenenfalls zurückzunehmen, zu deaktivieren oder zurückzurufen. Sie informieren die Händler des betreffenden +Hochrisiko-KI-Systems und gegebenenfalls die Betreiber, den Bevollmächtigten und die Einführer darüber. + + +(2) Birgt das Hochrisiko-KI-System ein Risiko im Sinne des Artikels 79 Absatz 1 und wird sich der Anbieter des Systems +dieses Risikos bewusst, so führt er unverzüglich gegebenenfalls gemeinsam mit dem meldenden Betreiber eine +Untersuchung der Ursachen durch und informiert er die Marktüberwachungsbehörden, in deren Zuständigkeit das +betroffene Hochrisiko-KI-System fällt, und gegebenenfalls die notifizierte Stelle, die eine Bescheinigung für dieses +Hochrisiko-KI-System gemäß Artikel 44 ausgestellt hat, insbesondere über die Art der Nichtkonformität und über bereits +ergriffene relevante Korrekturmaßnahmen. + + +Artikel 21 + + +Zusammenarbeit mit den zuständigen Behörden + + +(1) Anbieter von Hochrisiko-KI-Systemen übermitteln einer zuständigen Behörde auf deren begründete Anfrage +sämtliche Informationen und Dokumentation, die erforderlich sind, um die Konformität des Hochrisiko-KI-Systems mit den +in Abschnitt 2 festgelegten Anforderungen nachzuweisen, und zwar in einer Sprache, die für die Behörde leicht verständlich +ist und bei der es sich um eine der von dem betreffenden Mitgliedstaat angegebenen Amtssprachen der Institutionen der +Union handelt. + + +(2) Auf begründete Anfrage einer zuständigen Behörde gewähren die Anbieter der anfragenden zuständigen Behörde +gegebenenfalls auch Zugang zu den automatisch erzeugten Protokollen des Hochrisiko-KI-Systems gemäß Artikel 12 +Absatz 1, soweit diese Protokolle ihrer Kontrolle unterliegen. + + +(3) Alle Informationen, die eine zuständige Behörde aufgrund dieses Artikels erhält, werden im Einklang mit den in +Artikel 78 festgelegten Vertraulichkeitspflichten behandelt. + +# DE ABl. L vom 12.7. + +64/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Artikel 22 + + +Bevollmächtigte der Anbieter von Hochrisiko-KI-Systemen + + +(1) Anbieter, die in Drittländern niedergelassen sind, benennen vor der Bereitstellung ihrer Hochrisiko-KI-Systeme auf +dem Unionsmarkt schriftlich einen in der Union niedergelassenen Bevollmächtigten. + + +(2) Der Anbieter muss seinem Bevollmächtigten ermöglichen, die Aufgaben wahrzunehmen, die im vom Anbieter +erhaltenen Auftrag festgelegt sind. + + +(3) Der Bevollmächtigte nimmt die Aufgaben wahr, die in seinem vom Anbieter erhaltenen Auftrag festgelegt sind. Er +stellt den Marktüberwachungsbehörden auf Anfrage eine Kopie des Auftrags in einer von der zuständigen Behörde +angegebenen Amtssprache der Institutionen der Union bereit. Für die Zwecke dieser Verordnung ermächtigt der Auftrag +den Bevollmächtigten zumindest zur Wahrnehmung folgender Aufgaben: + + +a)Überprüfung, ob die in Artikel 47 genannte EU-Konformitätserklärung und die technische Dokumentation gemäß +Artikel 11 erstellt wurden und ob der Anbieter ein angemessenes Konformitätsbewertungsverfahren durchgeführt hat; + + +b)Bereithaltung — für einen Zeitraum von zehn Jahren ab dem Inverkehrbringen oder der Inbetriebnahme des +Hochrisiko-KI-Systems — der Kontaktdaten des Anbieters, der den Bevollmächtigten benannt hat, eines Exemplars der in +Artikel 47 genannten EU-Konformitätserklärung, der technischen Dokumentation und gegebenenfalls der von der +notifizierten Stelle ausgestellten Bescheinigung für die zuständigen Behörden und die in Artikel 74 Absatz 10 genannten +nationalen Behörden oder Stellen; + + +c) Übermittlung sämtlicher — auch der unter Buchstabe b dieses Unterabsatzes genannten — Informationen und +Dokumentation, die erforderlich sind, um die Konformität eines Hochrisiko-KI-Systems mit den in Abschnitt 2 +festgelegten Anforderungen nachzuweisen, an eine zuständige Behörde auf deren begründete Anfrage, einschließlich der +Gewährung des Zugangs zu den vom Hochrisiko-KI-System automatisch erzeugten Protokollen gemäß Artikel 12 +Absatz 1, soweit diese Protokolle der Kontrolle des Anbieters unterliegen; + + +d)Zusammenarbeit mit den zuständigen Behörden auf deren begründete Anfrage bei allen Maßnahmen, die Letztere im +Zusammenhang mit dem Hochrisiko-KI-System ergreifen, um insbesondere die von dem Hochrisiko-KI-System +ausgehenden Risiken zu verringern und abzumildern; + + +e) gegebenenfalls die Einhaltung der Registrierungspflichten gemäß Artikel 49 Absatz 1 oder, falls die Registrierung vom +Anbieter selbst vorgenommen wird, Sicherstellung der Richtigkeit der in Anhang VIII Abschnitt A Nummer 3 +aufgeführten Informationen. + + +Mit dem Auftrag wird der Bevollmächtigte ermächtigt, neben oder anstelle des Anbieters als Ansprechpartner für die +zuständigen Behörden in allen Fragen zu dienen, die die Gewährleistung der Einhaltung dieser Verordnung betreffen. + + +(4) Der Bevollmächtigte beendet den Auftrag, wenn er der Auffassung ist oder Grund zu der Annahme hat, dass der +Anbieter gegen seine Pflichten gemäß dieser Verordnung verstößt. In diesem Fall informiert er unverzüglich die betreffende +Marktüberwachungsbehörde und gegebenenfalls die betreffende notifizierte Stelle über die Beendigung des Auftrags und +deren Gründe. + + +Artikel 23 + + +Pflichten der Einführer + + +(1) Bevor sie ein Hochrisiko-KI-System in Verkehr bringen, stellen die Einführer sicher, dass das System dieser +Verordnung entspricht, indem sie überprüfen, ob + + +a)der Anbieter des Hochrisiko-KI-Systems das entsprechende Konformitätsbewertungsverfahren gemäß Artikel 43 +durchgeführt hat; + + +b)der Anbieter die technische Dokumentation gemäß Artikel 11 und Anhang IV erstellt hat; + + +c) das System mit der erforderlichen CE-Kennzeichnung versehen ist und ihm die in Artikel 47 genannte EU-Konfor- +mitätserklärung und Betriebsanleitungen beigefügt sind; + + +d)der Anbieter einen Bevollmächtigten gemäß Artikel 22 Absatz 1 benannt hat. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 65/ + + + +(2) Hat ein Einführer hinreichenden Grund zu der Annahme, dass ein Hochrisiko-KI-System nicht dieser Verordnung +entspricht oder gefälscht ist oder diesem eine gefälschte Dokumentation beigefügt ist, so bringt er das System erst in +Verkehr, nachdem dessen Konformität hergestellt wurde. Birgt das Hochrisiko-KI-System ein Risiko im Sinne des Artikels 79 +Absatz 1, so informiert der Einführer den Anbieter des Systems, die Bevollmächtigten und die Marktüberwachungs- +behörden darüber. + + +(3) Die Einführer geben ihren Namen, ihren eingetragenen Handelsnamen oder ihre eingetragene Handelsmarke und die +Anschrift, unter der sie in Bezug auf das Hochrisiko-KI-System kontaktiert werden können, auf der Verpackung oder +gegebenenfalls in der beigefügten Dokumentation an. + + +(4) Solange sich ein Hochrisiko-KI-System in ihrer Verantwortung befindet, gewährleisten Einführer, dass — soweit +zutreffend — die Lagerungs- oder Transportbedingungen seine Konformität mit den in Abschnitt 2 festgelegten +Anforderungen nicht beeinträchtigen. + + +(5) Die Einführer halten für einen Zeitraum von zehn Jahren ab dem Inverkehrbringen oder der Inbetriebnahme des +Hochrisiko-KI-Systems ein Exemplar der von der notifizierten Stelle ausgestellten Bescheinigung sowie gegebenenfalls die +Betriebsanleitungen und die in Artikel 47 genannte EU-Konformitätserklärung bereit. + + +(6) Die Einführer übermitteln den betreffenden nationalen Behörden auf deren begründete Anfrage sämtliche — auch die +in Absatz 5 genannten — Informationen und Dokumentation, die erforderlich sind, um die Konformität des +Hochrisiko-KI-Systems mit den in Abschnitt 2 festgelegten Anforderungen nachzuweisen, und zwar in einer Sprache, +die für jene leicht verständlich ist. Zu diesem Zweck stellen sie auch sicher, dass diesen Behörden die technische +Dokumentation zur Verfügung gestellt werden kann. + + +(7) Die Einführer arbeiten mit den betreffenden nationalen Behörden bei allen Maßnahmen zusammen, die diese +Behörden im Zusammenhang mit einem von den Einführern in Verkehr gebrachten Hochrisiko-KI-System ergreifen, um +insbesondere die von diesem System ausgehenden Risiken zu verringern und abzumildern. + + +Artikel 24 + + +Pflichten der Händler + + +(1) Bevor Händler ein Hochrisiko-KI-System auf dem Markt bereitstellen, überprüfen sie, ob es mit der erforderlichen +CE-Kennzeichnung versehen ist, ob ihm eine Kopie der in Artikel 47 genannten EU-Konformitätserklärung und +Betriebsanleitungen beigefügt sind und ob der Anbieter und gegebenenfalls der Einführer dieses Systems ihre in Artikel 16 +Buchstaben b und c sowie Artikel 23 Absatz 3 festgelegten jeweiligen Pflichten erfüllt haben. + + +(2) Ist ein Händler der Auffassung oder hat er aufgrund von Informationen, die ihm zur Verfügung stehen, Grund zu der +Annahme, dass ein Hochrisiko-KI-System nicht den Anforderungen in Abschnitt 2 entspricht, so stellt er das +Hochrisiko-KI-System erst auf dem Markt bereit, nachdem die Konformität des Systems mit den Anforderungen hergestellt +wurde. Birgt das Hochrisiko-IT-System zudem ein Risiko im Sinne des Artikels 79 Absatz 1, so informiert der Händler den +Anbieter bzw. den Einführer des Systems darüber. + + +(3) Solange sich ein Hochrisiko-KI-System in ihrer Verantwortung befindet, gewährleisten Händler, dass — soweit +zutreffend — die Lagerungs- oder Transportbedingungen die Konformität des Systems mit den in Abschnitt 2 festgelegten +Anforderungen nicht beeinträchtigen. + + +(4) Ein Händler, der aufgrund von Informationen, die ihm zur Verfügung stehen, der Auffassung ist oder Grund zu der +Annahme hat, dass ein von ihm auf dem Markt bereitgestelltes Hochrisiko-KI-System nicht den Anforderungen in +Abschnitt 2 entspricht, ergreift die erforderlichen Korrekturmaßnahmen, um die Konformität dieses Systems mit diesen +Anforderungen herzustellen, es zurückzunehmen oder zurückzurufen, oder er stellt sicher, dass der Anbieter, der Einführer +oder gegebenenfalls jeder relevante Akteur diese Korrekturmaßnahmen ergreift. Birgt das Hochrisiko-KI-System ein Risiko +im Sinne des Artikels 79 Absatz 1, so informiert der Händler unverzüglich den Anbieter bzw. den Einführer des Systems +sowie die für das betroffene Hochrisiko-KI-System zuständigen Behörden und macht dabei ausführliche Angaben, +insbesondere zur Nichtkonformität und zu bereits ergriffenen Korrekturmaßnahmen. + + +(5) Auf begründete Anfrage einer betreffenden zuständigen Behörde übermitteln die Händler eines Hochrisiko-KI- +Systems dieser Behörde sämtliche Informationen und Dokumentation in Bezug auf ihre Maßnahmen gemäß den +Absätzen 1 bis 4, die erforderlich sind, um die Konformität dieses Systems mit den in Abschnitt 2 festgelegten +Anforderungen nachzuweisen. + + +(6) Die Händler arbeiten mit den betreffenden zuständigen Behörden bei allen Maßnahmen zusammen, die diese +Behörden im Zusammenhang mit einem von den Händlern auf dem Markt bereitgestellten Hochrisiko-KI-System ergreifen, +um insbesondere das von diesem System ausgehende Risiko zu verringern oder abzumildern. + +# DE ABl. L vom 12.7. + +66/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Artikel 25 + + +Verantwortlichkeiten entlang der KI-Wertschöpfungskette + + +(1) In den folgenden Fällen gelten Händler, Einführer, Betreiber oder sonstige Dritte als Anbieter eines Hochrisiko- +KI-Systems für die Zwecke dieser Verordnung und unterliegen den Anbieterpflichten gemäß Artikel 16: + + +a)wenn sie ein bereits in Verkehr gebrachtes oder in Betrieb genommenes Hochrisiko-KI-System mit ihrem Namen oder +ihrer Handelsmarke versehen, unbeschadet vertraglicher Vereinbarungen, die eine andere Aufteilung der Pflichten +vorsehen; + + +b)wenn sie eine wesentliche Veränderung eines Hochrisiko-KI-Systems, das bereits in Verkehr gebracht oder in Betrieb +genommen wurde, so vornehmen, dass es weiterhin ein Hochrisiko-KI-System gemäß Artikel 6 bleibt; + + +c) wenn sie die Zweckbestimmung eines KI-Systems, einschließlich eines KI-Systems mit allgemeinem Verwendungszweck, +das nicht als hochriskant eingestuft wurde und bereits in Verkehr gebracht oder in Betrieb genommen wurde, so +verändern, dass das betreffende KI-System zu einem Hochrisiko-KI-System im Sinne von Artikel 6 wird. + + +(2) Unter den in Absatz 1 genannten Umständen gilt der Anbieter, der das KI-System ursprünglich in Verkehr gebracht +oder in Betrieb genommen hatte, nicht mehr als Anbieter dieses spezifischen KI-Systems für die Zwecke dieser Verordnung. +Dieser Erstanbieter arbeitet eng mit neuen Anbietern zusammen, stellt die erforderlichen Informationen zur Verfügung und +sorgt für den vernünftigerweise zu erwartenden technischen Zugang und sonstige Unterstützung, die für die Erfüllung der +in dieser Verordnung festgelegten Pflichten, insbesondere in Bezug auf die Konformitätsbewertung von Hochrisiko- +KI-Systemen, erforderlich sind. Dieser Absatz gilt nicht in Fällen, in denen der Erstanbieter eindeutig festgelegt hat, dass sein +KI-System nicht in ein Hochrisiko-KI-System umgewandelt werden darf und daher nicht der Pflicht zur Übergabe der +Dokumentation unterliegt. + + +(3) Im Falle von Hochrisiko-KI-Systemen, bei denen es sich um Sicherheitsbauteile von Produkten handelt, die unter die +in Anhang I Abschnitt A aufgeführten Harmonisierungsrechtsvorschriften der Union fallen, gilt der Produkthersteller als +Anbieter des Hochrisiko-KI-Systems und unterliegt in den beiden nachfolgenden Fällen den Pflichten nach Artikel 16: + + +a)Das Hochrisiko-KI-System wird zusammen mit dem Produkt unter dem Namen oder der Handelsmarke des +Produktherstellers in Verkehr gebracht; + + +b)das Hochrisiko-KI-System wird unter dem Namen oder der Handelsmarke des Produktherstellers in Betrieb genommen, +nachdem das Produkt in Verkehr gebracht wurde. + + +(4) Der Anbieter eines Hochrisiko-KI-Systems und der Dritte, der ein KI-System, Instrumente, Dienste, Komponenten +oder Verfahren bereitstellt, die in einem Hochrisiko-KI-System verwendet oder integriert werden, legen in einer schriftlichen +Vereinbarung die Informationen, die Fähigkeiten, den technischen Zugang und die sonstige Unterstützung nach dem +allgemein anerkannten Stand der Technik fest, die erforderlich sind, damit der Anbieter des Hochrisiko-KI-Systems die in +dieser Verordnung festgelegten Pflichten vollständig erfüllen kann. Dieser Absatz gilt nicht für Dritte, die Instrumente, +Dienste, Verfahren oder Komponenten, bei denen es sich nicht um KI-Modelle mit allgemeinem Verwendungszweck +handelt, im Rahmen einer freien und quelloffenen Lizenz öffentlich zugänglich machen. + + +Das Büro für Künstliche Intelligenz kann freiwillige Musterbedingungen für Verträge zwischen Anbietern von +Hochrisiko-KI-Systemen und Dritten, die Instrumente, Dienste, Komponenten oder Verfahren bereitstellen, die für +Hochrisiko-KI-Systeme verwendet oder in diese integriert werden, ausarbeiten und empfehlen. Bei der Ausarbeitung dieser +freiwilligen Musterbedingungen berücksichtigt das Büro für Künstliche Intelligenz mögliche vertragliche Anforderungen, die +in bestimmten Sektoren oder Geschäftsfällen gelten. Die freiwilligen Musterbedingungen werden veröffentlicht und sind +kostenlos in einem leicht nutzbaren elektronischen Format verfügbar. + + +(5) Die Absätze 2 und 3 berühren nicht die Notwendigkeit, Rechte des geistigen Eigentums, vertrauliche +Geschäftsinformationen und Geschäftsgeheimnisse im Einklang mit dem Unionsrecht und dem nationalen Recht zu +achten und zu schützen. + + +Artikel 26 + + +Pflichten der Betreiber von Hochrisiko-KI-Systemen + + +(1) Die Betreiber von Hochrisiko-KI-Systemen treffen geeignete technische und organisatorische Maßnahmen, um +sicherzustellen, dass sie solche Systeme entsprechend der den Systemen beigefügten Betriebsanleitungen und gemäß den +Absätzen 3 und 6 verwenden. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 67/ + + + +(2) Die Betreiber übertragen natürlichen Personen, die über die erforderliche Kompetenz, Ausbildung und Befugnis +verfügen, die menschliche Aufsicht und lassen ihnen die erforderliche Unterstützung zukommen. + + +(3) Die Pflichten nach den Absätzen 1 und 2 lassen sonstige Pflichten der Betreiber nach Unionsrecht oder nationalem +Recht sowie die Freiheit der Betreiber bei der Organisation ihrer eigenen Ressourcen und Tätigkeiten zur Wahrnehmung der +vom Anbieter angegebenen Maßnahmen der menschlichen Aufsicht unberührt. + + +(4) Unbeschadet der Absätze 1 und 2 und soweit die Eingabedaten ihrer Kontrolle unterliegen, sorgen die Betreiber dafür, +dass die Eingabedaten der Zweckbestimmung des Hochrisiko-KI-Systems entsprechen und ausreichend repräsentativ sind. + + +(5) Die Betreiber überwachen den Betrieb des Hochrisiko-KI-Systems anhand der Betriebsanleitung und informieren +gegebenenfalls die Anbieter gemäß Artikel 72. Haben Betreiber Grund zu der Annahme, dass die Verwendung gemäß der +Betriebsanleitung dazu führen kann, dass dieses Hochrisiko-KI-System ein Risiko im Sinne des Artikels 79 Absatz 1 birgt, so +informieren sie unverzüglich den Anbieter oder Händler und die zuständige Marktüberwachungsbehörde und setzen die +Verwendung dieses Systems aus. Haben die Betreiber einen schwerwiegenden Vorfall festgestellt, informieren sie auch +unverzüglich zuerst den Anbieter und dann den Einführer oder Händler und die zuständigen Marktüberwachungsbehörden +über diesen Vorfall. Kann der Betreiber den Anbieter nicht erreichen, so gilt Artikel 73 entsprechend. Diese Pflicht gilt nicht +für sensible operative Daten von Betreibern von KI-Systemen, die Strafverfolgungsbehörden sind. + + +Bei Betreibern, die Finanzinstitute sind und gemäß den Rechtsvorschriften der Union über Finanzdienstleistungen +Anforderungen in Bezug auf ihre Regelungen oder Verfahren der internen Unternehmensführung, unterliegen, gilt die in +Unterabsatz 1 festgelegte Überwachungspflicht als erfüllt, wenn die Vorschriften über Regelungen, Verfahren oder +Mechanismen der internen Unternehmensführung gemäß einschlägigem Recht über Finanzdienstleistungen eingehalten +werden. + + +(6) Betreiber von Hochrisiko-KI-Systemen bewahren die von ihrem Hochrisiko-KI-System automatisch erzeugten +Protokolle, soweit diese Protokolle ihrer Kontrolle unterliegen, für einen der Zweckbestimmung des Hochrisiko-KI-Systems +angemessenen Zeitraum von mindestens sechs Monaten auf, sofern im geltenden Unionsrecht, insbesondere im +Unionsrecht über den Schutz personenbezogener Daten, oder im geltenden nationalen Recht nichts anderes bestimmt ist. + + +Betreiber, die Finanzinstitute sind und gemäß den Rechtsvorschriften der Union über Finanzdienstleistungen +Anforderungen in Bezug auf ihre Regelungen oder Verfahren der internen Unternehmensführung unterliegen, bewahren +die Protokolle als Teil der gemäß einschlägigem Unionsecht über Finanzdienstleistungen aufzubewahrenden Dokumenta- +tion auf. + + +(7) Vor der Inbetriebnahme oder Verwendung eines Hochrisiko-KI-Systems am Arbeitsplatz informieren Betreiber, die +Arbeitgeber sind, die Arbeitnehmervertreter und die betroffenen Arbeitnehmer darüber, dass sie der Verwendung des +Hochrisiko-KI-Systems unterliegen werden. Diese Informationen werden gegebenenfalls im Einklang mit den Vorschriften +und Gepflogenheiten auf Unionsebene und nationaler Ebene in Bezug auf die Unterrichtung der Arbeitnehmer und ihrer +Vertreter bereitgestellt. + + +(8) Betreiber von Hochrisiko-KI-Systemen, bei denen es sich um Organe, Einrichtungen oder sonstige Stellen der Union +handelt, müssen den Registrierungspflichten gemäß Artikel 49 nachkommen. Stellen diese Betreiber fest, dass das +Hochrisiko-KI-System, dessen Verwendung sie planen, nicht in der in Artikel 71 genannten EU-Datenbank registriert +wurde, sehen sie von der Verwendung dieses Systems ab und informieren den Anbieter oder den Händler. + + +(9) Die Betreiber von Hochrisiko-KI-Systemen verwenden gegebenenfalls die gemäß Artikel 13 der vorliegenden +Verordnung bereitgestellten Informationen, um ihrer Pflicht zur Durchführung einer Datenschutz-Folgenabschätzung +gemäß Artikel 35 der Verordnung (EU) 2016/679 oder Artikel 27 der Richtlinie (EU) 2016/680 nachzukommen. + + +(10) Unbeschadet der Richtlinie (EU) 2016/680 beantragt der Betreiber eines Hochrisiko-KI-Systems zur nachträglichen +biometrischen Fernfernidentifizierung im Rahmen von Ermittlungen zur gezielten Suche einer Person, die der Begehung +einer Straftat verdächtigt wird oder aufgrund einer solchen verurteilt wurde, vorab oder unverzüglich, spätestens jedoch +binnen 48 Stunden bei einer Justizbehörde oder einer Verwaltungsbehörde, deren Entscheidung bindend ist und einer +justiziellen Überprüfung unterliegt, die Genehmigung für die Nutzung dieses Systems, es sei denn, es wird zur erstmaligen +Identifizierung eines potenziellen Verdächtigen auf der Grundlage objektiver und nachprüfbarer Tatsachen, die in +unmittelbarem Zusammenhang mit der Straftat stehen, verwendet. Jede Verwendung ist auf das für die Ermittlung einer +bestimmten Straftat unbedingt erforderliche Maß zu beschränken. + + +Wird die gemäß Unterabsatz 1 beantragte Genehmigung abgelehnt, so wird die Verwendung des mit dieser beantragten +Genehmigung verbundenen Systems zur nachträglichen biometrischen Fernidentifizierung mit sofortiger Wirkung +eingestellt und werden die personenbezogenen Daten, die im Zusammenhang mit der Verwendung des Hochrisiko-KI- +Systems stehen, für die die Genehmigung beantragt wurde, gelöscht. + +# DE ABl. L vom 12.7. + +68/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +In keinem Fall darf ein solches Hochrisiko-KI-System zur nachträglichen biometrischen Fernidentifizierung zu +Strafverfolgungszwecken in nicht zielgerichteter Weise und ohne jeglichen Zusammenhang mit einer Straftat, einem +Strafverfahren, einer tatsächlichen und bestehenden oder tatsächlichen und vorhersehbaren Gefahr einer Straftat oder der +Suche nach einer bestimmten vermissten Person verwendet werden. Es muss sichergestellt werden, dass die +Strafverfolgungsbehörden keine ausschließlich auf der Grundlage der Ausgabe solcher Systeme zur nachträglichen +biometrischen Fernidentifizierung beruhende Entscheidung, aus der sich eine nachteilige Rechtsfolge für eine Person ergibt, +treffen. + + +Dieser Absatz gilt unbeschadet des Artikels 9 der Verordnung (EU) 2016/679 und des Artikels 10 der Richtlinie (EU) +2016/680 für die Verarbeitung biometrischer Daten. + + +Unabhängig vom Zweck oder Betreiber wird jede Verwendung solcher Hochrisiko-KI-Systeme in der einschlägigen +Polizeiakte dokumentiert und der zuständigen Marktüberwachungsbehörde und der nationalen Datenschutzbehörde auf +Anfrage zur Verfügung gestellt, wovon die Offenlegung sensibler operativer Daten im Zusammenhang mit der +Strafverfolgung ausgenommen ist. Dieser Unterabsatz berührt nicht die den Aufsichtsbehörden durch die Richtlinie (EU) +2016/680 übertragenen Befugnisse. + + +Die Betreiber legen den zuständigen Marktüberwachungsbehörden und den nationalen Datenschutzbehörden Jahresberichte +über ihre Verwendung von Systemen zur nachträglichen biometrischen Fernidentifizierung vor, wovon die Offenlegung +sensibler operativer Daten im Zusammenhang mit der Strafverfolgung ausgenommen ist. Die Berichte können eine +Zusammenfassung sein, damit sie mehr als einen Einsatz abdecken. + + +Die Mitgliedstaaten können im Einklang mit dem Unionsrecht strengere Rechtsvorschriften für die Verwendung von +Systemen zur nachträglichen biometrischen Fernidentifizierung erlassen. + + +(11) Unbeschadet des Artikels 50 der vorliegenden Verordnung informieren die Betreiber der in Anhang III aufgeführten +Hochrisiko-KI-Systeme, die natürliche Personen betreffende Entscheidungen treffen oder bei solchen Entscheidungen +Unterstützung leisten, die natürlichen Personen darüber, dass sie der Verwendung des Hochrisiko-KI-Systems unterliegen. +Für Hochrisiko-KI-Systeme, die zu Strafverfolgungszwecken verwendet werden, gilt Artikel 13 der Richtlinie (EU) +2016/680. + + +(12) Die Betreiber arbeiten mit den zuständigen Behörden bei allen Maßnahmen zusammen, die diese Behörden im +Zusammenhang mit dem Hochrisiko-KI-System zur Umsetzung dieser Verordnung ergreifen. + + +Artikel 27 + + +Grundrechte-Folgenabschätzung für Hochrisiko-KI-Systeme + + +(1) Vor der Inbetriebnahme eines Hochrisiko-KI-Systems gemäß Artikel 6 Absatz 2 — mit Ausnahme von +Hochrisiko-KI-Systemen, die in dem in Anhang III Nummer 2 aufgeführten Bereich verwendet werden sollen — führen +Betreiber, bei denen es sich um Einrichtungen des öffentlichen Rechts oder private Einrichtungen, die öffentliche Dienste +erbringen, handelt, und Betreiber von Hochrisiko-KI-Systemen gemäß Anhang III Nummer 5 Buchstaben b und c eine +Abschätzung der Auswirkungen, die die Verwendung eines solchen Systems auf die Grundrechte haben kann, durch. Zu +diesem Zweck führen die Betreiber eine Abschätzung durch, die Folgendes umfasst: + + +a)eine Beschreibung der Verfahren des Betreibers, bei denen das Hochrisiko-KI-System im Einklang mit seiner +Zweckbestimmung verwendet wird; + + +b)eine Beschreibung des Zeitraums und der Häufigkeit, innerhalb dessen bzw. mit der jedes Hochrisiko-KI-System +verwendet werden soll; + + +c) die Kategorien der natürlichen Personen und Personengruppen, die von seiner Verwendung im spezifischen Kontext +betroffen sein könnten; + + +d)die spezifischen Schadensrisiken, die sich auf die gemäß Buchstabe c dieses Absatzes ermittelten Kategorien natürlicher +Personen oder Personengruppen auswirken könnten, unter Berücksichtigung der vom Anbieter gemäß Artikel 13 +bereitgestellten Informationen; + + +e) eine Beschreibung der Umsetzung von Maßnahmen der menschlichen Aufsicht entsprechend den Betriebsanleitungen; + + +f) die Maßnahmen, die im Falle des Eintretens dieser Risiken zu ergreifen sind, einschließlich der Regelungen für die interne +Unternehmensführung und Beschwerdemechanismen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 69/ + + + +(2) Die in Absatz 1 festgelegte Pflicht gilt für die erste Verwendung eines Hochrisiko-KI-Systems. Der Betreiber kann sich +in ähnlichen Fällen auf zuvor durchgeführte Grundrechte-Folgenabschätzungen oder bereits vorhandene Folgenab- +schätzungen, die vom Anbieter durchgeführt wurden, stützen. Gelangt der Betreiber während der Verwendung des +Hochrisiko-KI-Systems zur Auffassung, dass sich eines der in Absatz 1 aufgeführten Elemente geändert hat oder nicht mehr +auf dem neuesten Stand ist, so unternimmt der Betreiber die erforderlichen Schritte, um die Informationen zu aktualisieren. + + +(3) Sobald die Abschätzung gemäß Absatz 1 des vorliegenden Artikels durchgeführt wurde, teilt der Betreiber der +Marktüberwachungsbehörde ihre Ergebnisse mit, indem er das ausgefüllte, in Absatz 5 des vorliegenden Artikels genannte +Muster als Teil der Mitteilung übermittelt. In dem in Artikel 46 Absatz 1 genannten Fall können die Betreiber von der +Mitteilungspflicht befreit werden. + + +(4) Wird eine der in diesem Artikel festgelegten Pflichten bereits infolge einer gemäß Artikel 35 der Verordnung (EU) +2016/679 oder Artikel 27 der Richtlinie (EU) 2016/680 durchgeführten Datenschutz-Folgenabschätzung erfüllt, so ergänzt +die Grundrechte-Folgenabschätzung gemäß Absatz 1 des vorliegenden Artikels diese Datenschutz-Folgenabschätzung. + + +(5) Das Büro für Künstliche Intelligenz arbeitet ein Muster für einen Fragebogen — auch mithilfe eines automatisierten +Instruments — aus, um die Betreiber in die Lage zu versetzen, ihren Pflichten gemäß diesem Artikel in vereinfachter Weise +nachzukommen. + + +ABSCHNITT 4 +Notifizierende Behörden und notifizierte Stellen + + +Artikel 28 + + +Notifizierende Behörden + + +(1) Jeder Mitgliedstaat sorgt für die Benennung oder Schaffung mindestens einer notifizierenden Behörde, die für die +Einrichtung und Durchführung der erforderlichen Verfahren zur Bewertung, Benennung und Notifizierung von +Konformitätsbewertungsstellen und für deren Überwachung zuständig ist. Diese Verfahren werden in Zusammenarbeit +zwischen den notifizierenden Behörden aller Mitgliedstaaten entwickelt. + + +(2) Die Mitgliedstaaten können entscheiden, dass die Bewertung und Überwachung nach Absatz 1 von einer nationalen +Akkreditierungsstelle im Sinne und gemäß der Verordnung (EG) Nr. 765/2008 durchzuführen ist. + + +(3) Notifizierende Behörden werden so eingerichtet, organisiert und geführt, dass jegliche Interessenkonflikte mit +Konformitätsbewertungsstellen vermieden werden und die Objektivität und die Unparteilichkeit ihrer Tätigkeiten +gewährleistet sind. + + +(4) Notifizierende Behörden werden so organisiert, dass Entscheidungen über die Notifizierung von Konformitäts- +bewertungsstellen von kompetenten Personen getroffen werden, die nicht mit den Personen identisch sind, die die +Bewertung dieser Stellen durchgeführt haben. + + +(5) Notifizierende Behörden dürfen weder Tätigkeiten, die Konformitätsbewertungsstellen durchführen, noch +Beratungsleistungen auf einer gewerblichen oder wettbewerblichen Basis anbieten oder erbringen. + + +(6) Notifizierende Behörden gewährleisten gemäß Artikel 78 die Vertraulichkeit der von ihnen erlangten Informationen. + + +(7) Notifizierende Behörden verfügen über eine angemessene Anzahl kompetenter Mitarbeiter, sodass sie ihre Aufgaben +ordnungsgemäß wahrnehmen können. Die kompetenten Mitarbeiter verfügen — wo erforderlich — über das für ihre +Funktion erforderliche Fachwissen in Bereichen wie Informationstechnologie sowie KI und Recht, einschließlich der +Überwachung der Grundrechte. + + +Artikel 29 + + +Antrag einer Konformitätsbewertungsstelle auf Notifizierung + + +(1) Konformitätsbewertungsstellen beantragen ihre Notifizierung bei der notifizierenden Behörde des Mitgliedstaats, in +dem sie niedergelassen sind. + +# DE ABl. L vom 12.7. + +70/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(2) Dem Antrag auf Notifizierung legen sie eine Beschreibung der Konformitätsbewertungstätigkeiten, des bzw. der +Konformitätsbewertungsmodule und der Art der KI-Systeme, für die diese Konformitätsbewertungsstelle Kompetenz +beansprucht, sowie, falls vorhanden, eine Akkreditierungsurkunde bei, die von einer nationalen Akkreditierungsstelle +ausgestellt wurde und in der bescheinigt wird, dass die Konformitätsbewertungsstelle die Anforderungen des Artikels 31 +erfüllt. + + +Sonstige gültige Dokumente in Bezug auf bestehende Benennungen der antragstellenden notifizierten Stelle im Rahmen +anderer Harmonisierungsrechtsvorschriften der Union sind ebenfalls beizufügen. + + +(3) Kann die betreffende Konformitätsbewertungsstelle keine Akkreditierungsurkunde vorweisen, so legt sie der +notifizierenden Behörde als Nachweis alle Unterlagen vor, die erforderlich sind, um zu überprüfen, festzustellen und +regelmäßig zu überwachen, ob sie die Anforderungen des Artikels 31 erfüllt. + + +(4) Bei notifizierten Stellen, die im Rahmen anderer Harmonisierungsrechtsvorschriften der Union benannt wurden, +können alle Unterlagen und Bescheinigungen im Zusammenhang mit solchen Benennungen zur Unterstützung ihres +Benennungsverfahrens nach dieser Verordnung verwendet werden. Die notifizierte Stelle aktualisiert die in den Absätzen 2 +und 3 des vorliegenden Artikels genannte Dokumentation immer dann, wenn sich relevante Änderungen ergeben, damit die +für notifizierte Stellen zuständige Behörde überwachen und überprüfen kann, ob die Anforderungen des Artikels 31 +kontinuierlich erfüllt sind. + + +Artikel 30 + + +Notifizierungsverfahren + + +(1) Die notifizierenden Behörden dürfen nur Konformitätsbewertungsstellen notifizieren, die die Anforderungen des +Artikels 31 erfüllen. + + +(2) Die notifizierenden Behörden unterrichten die Kommission und die übrigen Mitgliedstaaten mithilfe des +elektronischen Notifizierungsinstruments, das von der Kommission entwickelt und verwaltet wird, über jede Konformit- +ätsbewertungsstelle gemäß Absatz 1. + + +(3) Die Notifizierung gemäß Absatz 2 des vorliegenden Artikels enthält vollständige Angaben zu den Konformitäts- +bewertungstätigkeiten, dem betreffenden Konformitätsbewertungsmodul oder den betreffenden Konformitätsbewertungs- +modulen, den betreffenden Arten der KI-Systeme und der einschlägigen Bestätigung der Kompetenz. Beruht eine +Notifizierung nicht auf einer Akkreditierungsurkunde gemäß Artikel 29 Absatz 2, so legt die notifizierende Behörde der +Kommission und den anderen Mitgliedstaaten die Unterlagen vor, die die Kompetenz der Konformitätsbewertungsstelle und +die Vereinbarungen nachweisen, die getroffen wurden, um sicherzustellen, dass die Stelle regelmäßig überwacht wird und +weiterhin die Anforderungen des Artikels 31 erfüllt. + + +(4) Die betreffende Konformitätsbewertungsstelle darf die Tätigkeiten einer notifizierten Stelle nur dann wahrnehmen, +wenn weder die Kommission noch die anderen Mitgliedstaaten innerhalb von zwei Wochen nach einer Notifizierung durch +eine notifizierende Behörde, falls eine Akkreditierungsurkunde gemäß Artikel 29 Absatz 2 vorgelegt wird, oder innerhalb +von zwei Monaten nach einer Notifizierung durch eine notifizierende Behörde, falls als Nachweis Unterlagen gemäß +Artikel 29 Absatz 3 vorgelegt werden, Einwände erhoben haben. + + +(5) Werden Einwände erhoben, konsultiert die Kommission unverzüglich die betreffenden Mitgliedstaaten und die +Konformitätsbewertungsstelle. Im Hinblick darauf entscheidet die Kommission, ob die Genehmigung gerechtfertigt ist. Die +Kommission richtet ihren Beschluss an die betroffenen Mitgliedstaaten und an die zuständige Konformitätsbewertungsstelle. + + +Artikel 31 +Anforderungen an notifizierte Stellen + + +(1) Eine notifizierte Stelle wird nach dem nationalen Recht eines Mitgliedstaats gegründet und muss mit +Rechtspersönlichkeit ausgestattet sein. + + +(2) Die notifizierten Stellen müssen die zur Wahrnehmung ihrer Aufgaben erforderlichen Anforderungen an die +Organisation, das Qualitätsmanagement, die Ressourcenausstattung und die Verfahren sowie angemessene Cybersicher- +heitsanforderungen erfüllen. + + +(3) Die Organisationsstruktur, die Zuweisung der Zuständigkeiten, die Berichtslinien und die Funktionsweise der +notifizierten Stellen müssen das Vertrauen in ihre Leistung und in die Ergebnisse der von ihnen durchgeführten +Konformitätsbewertungstätigkeiten gewährleisten. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 71/ + + + +(4) Die notifizierten Stellen müssen von dem Anbieter eines Hochrisiko-KI-Systems, zu dem sie Konformitäts- +bewertungstätigkeiten durchführen, unabhängig sein. Außerdem müssen die notifizierten Stellen von allen anderen +Akteuren, die ein wirtschaftliches Interesse an den bewerteten Hochrisiko-KI-Systemen haben, und von allen +Wettbewerbern des Anbieters unabhängig sein. Dies schließt die Verwendung von bewerteten Hochrisiko-KI-Systemen, +die für die Tätigkeit der Konformitätsbewertungsstelle nötig sind, oder die Verwendung solcher Hochrisiko-KI-Systeme zum +persönlichen Gebrauch nicht aus. + + +(5) Weder die Konformitätsbewertungsstelle, ihre oberste Leitungsebene noch die für die Erfüllung ihrer Konformit- +ätsbewertungsaufgaben zuständigen Mitarbeiter dürfen direkt an Entwurf, Entwicklung, Vermarktung oder Verwendung +von Hochrisiko-KI-Systemen beteiligt sein oder die an diesen Tätigkeiten beteiligten Parteien vertreten. Sie dürfen sich nicht +mit Tätigkeiten befassen, die ihre Unabhängigkeit bei der Beurteilung oder ihre Integrität im Zusammenhang mit den +Konformitätsbewertungstätigkeiten, für die sie notifiziert sind, beeinträchtigen könnten. Dies gilt besonders für +Beratungsdienstleistungen. + + +(6) Notifizierte Stellen werden so organisiert und geführt, dass bei der Ausübung ihrer Tätigkeit Unabhängigkeit, +Objektivität und Unparteilichkeit gewahrt sind. Von den notifizierten Stellen werden eine Struktur und Verfahren +dokumentiert und umgesetzt, die ihre Unparteilichkeit gewährleisten und sicherstellen, dass die Grundsätze der +Unparteilichkeit in ihrer gesamten Organisation, von allen Mitarbeitern und bei allen Bewertungstätigkeiten gefördert und +angewandt werden. + + +(7) Die notifizierten Stellen gewährleisten durch dokumentierte Verfahren, dass ihre Mitarbeiter, Ausschüsse, +Zweigstellen, Unterauftragnehmer sowie alle zugeordneten Stellen oder Mitarbeiter externer Einrichtungen die Vertrau- +lichkeit der Informationen, die bei der Durchführung der Konformitätsbewertungstätigkeiten in ihren Besitz gelangen, im +Einklang mit Artikel 78 wahren, außer wenn ihre Offenlegung gesetzlich vorgeschrieben ist. Informationen, von denen +Mitarbeiter der notifizierten Stellen bei der Durchführung ihrer Aufgaben gemäß dieser Verordnung Kenntnis erlangen, +unterliegen der beruflichen Schweigepflicht, außer gegenüber den notifizierenden Behörden des Mitgliedstaats, in dem sie +ihre Tätigkeiten ausüben. + + +(8) Die notifizierten Stellen verfügen über Verfahren zur Durchführung ihrer Tätigkeiten unter gebührender +Berücksichtigung der Größe eines Betreibers, des Sektors, in dem er tätig ist, seiner Struktur sowie der Komplexität des +betreffenden KI-Systems. + + +(9) Die notifizierten Stellen schließen eine angemessene Haftpflichtversicherung für ihre Konformitätsbewertungstätig- +keiten ab, es sei denn, diese Haftpflicht wird aufgrund nationalen Rechts von dem Mitgliedstaat, in dem sie niedergelassen +sind, gedeckt oder dieser Mitgliedstaat ist selbst unmittelbar für die Konformitätsbewertung zuständig. + + +(10) Die notifizierten Stellen müssen in der Lage sein, ihre Aufgaben gemäß dieser Verordnung mit höchster beruflicher +Integrität und der erforderlichen Fachkompetenz in dem betreffenden Bereich auszuführen, gleichgültig, ob diese Aufgaben +von den notifizierten Stellen selbst oder in ihrem Auftrag und in ihrer Verantwortung durchgeführt werden. + + +(11) Die notifizierten Stellen müssen über ausreichende interne Kompetenzen verfügen, um die von externen Stellen in +ihrem Namen wahrgenommen Aufgaben wirksam beurteilen zu können. Die notifizierten Stellen müssen ständig über +ausreichendes administratives, technisches, juristisches und wissenschaftliches Personal verfügen, das Erfahrungen und +Kenntnisse in Bezug auf einschlägige Arten der KI-Systeme, Daten und Datenverarbeitung sowie die in Abschnitt 2 +festgelegten Anforderungen besitzt. + + +(12) Die notifizierten Stellen wirken an den in Artikel 38 genannten Koordinierungstätigkeiten mit. Sie wirken außerdem +unmittelbar oder mittelbar an der Arbeit der europäischen Normungsorganisationen mit oder stellen sicher, dass sie stets +über den Stand der einschlägigen Normen unterrichtet sind. + + +Artikel 32 + + +Vermutung der Konformität mit den Anforderungen an notifizierte Stellen + + +Weist eine Konformitätsbewertungsstelle nach, dass sie die Kriterien der einschlägigen harmonisierten Normen, deren +Fundstellen im Amtsblatt der Europäischen Union veröffentlicht wurden, oder Teile dieser Normen erfüllt, so wird davon +ausgegangen, dass sie die Anforderungen des Artikels 31, soweit diese von den geltenden harmonisierten Normen erfasst +werden, erfüllt. + +# DE ABl. L vom 12.7. + +72/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +Artikel 33 + + +Zweigstellen notifizierter Stellen und Vergabe von Unteraufträgen + + +(1) Vergibt eine notifizierte Stelle bestimmte mit der Konformitätsbewertung verbundene Aufgaben an Unterauf- +tragnehmer oder überträgt sie diese einer Zweigstelle, so stellt sie sicher, dass der Unterauftragnehmer oder die Zweigstelle +die Anforderungen des Artikels 31 erfüllt, und informiert die notifizierende Behörde darüber. + + +(2) Die notifizierten Stellen tragen die volle Verantwortung für Arbeiten, die von jedweden Unterauftragnehmern oder +Zweigstellen ausgeführt werden. + + +(3) Tätigkeiten dürfen nur mit Zustimmung des Anbieters an einen Unterauftragnehmer vergeben oder einer Zweigstelle +übertragen werden. Die notifizierten Stellen veröffentlichen ein Verzeichnis ihrer Zweigstellen. + + +(4) Die einschlägigen Unterlagen über die Bewertung der Qualifikation des Unterauftragnehmers oder der Zweigstelle +und die von ihnen gemäß dieser Verordnung ausgeführten Arbeiten werden für einen Zeitraum von fünf Jahren ab dem +Datum der Beendigung der Unterauftragsvergabe für die notifizierende Behörde bereitgehalten. + + +Artikel 34 + + +Operative Pflichten der notifizierten Stellen + + +(1) Die notifizierten Stellen überprüfen die Konformität von Hochrisiko-KI-Systemen nach den in Artikel 43 festgelegten +Konformitätsbewertungsverfahren. + + +(2) Die notifizierten Stellen vermeiden bei der Durchführung ihrer Tätigkeiten unnötige Belastungen für die Anbieter +und berücksichtigen gebührend die Größe des Anbieters, den Sektor, in dem er tätig ist, seine Struktur sowie die +Komplexität des betreffenden Hochrisiko-KI-Systems, um insbesondere den Verwaltungsaufwand und die Befolgungskosten +für Kleinstunternehmen und kleine Unternehmen im Sinne der Empfehlung 2003/361/EG zu minimieren. Die notifizierte +Stelle muss jedoch den Grad der Strenge und das Schutzniveau einhalten, die für die Konformität des Hochrisiko-KI-Systems +mit den Anforderungen dieser Verordnung erforderlich sind. + + +(3) Die notifizierten Stellen machen der in Artikel 28 genannten notifizierenden Behörde sämtliche einschlägige +Dokumentation, einschließlich der Dokumentation des Anbieters, zugänglich bzw. übermitteln diese auf Anfrage, damit +diese Behörde ihre Bewertungs-, Benennungs-, Notifizierungs- und Überwachungstätigkeiten durchführen kann und die +Bewertung gemäß diesem Abschnitt erleichtert wird. + + +Artikel 35 + + +Identifizierungsnummern und Verzeichnisse notifizierter Stellen + + +(1) Die Kommission weist jeder notifizierten Stelle eine einzige Identifizierungsnummer zu, selbst wenn eine Stelle nach +mehr als einem Rechtsakt der Union notifiziert wurde. + + +(2) Die Kommission veröffentlicht das Verzeichnis der nach dieser Verordnung notifizierten Stellen samt ihren +Identifizierungsnummern und den Tätigkeiten, für die sie notifiziert wurden. Die Kommission stellt sicher, dass das +Verzeichnis auf dem neuesten Stand gehalten wird. + + +Artikel 36 + + +Änderungen der Notifizierungen + + +(1) Die notifizierende Behörde unterrichtet die Kommission und die anderen Mitgliedstaaten mithilfe des in Artikel 30 +Absatz 2 genannten elektronischen Notifizierungsinstruments über alle relevanten Änderungen der Notifizierung einer +notifizierten Stelle. + + +(2) Für Erweiterungen des Anwendungsbereichs der Notifizierung gelten die in den Artikeln 29 und 30 festgelegten +Verfahren. + + +Für andere Änderungen der Notifizierung als Erweiterungen ihres Anwendungsbereichs gelten die in den Absätzen 3 bis 9 +dargelegten Verfahren. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 73/144 + + + +(3) Beschließt eine notifizierte Stelle die Einstellung ihrer Konformitätsbewertungstätigkeiten, so informiert sie die +betreffende notifizierende Behörde und die betreffenden Anbieter so bald wie möglich und im Falle einer geplanten +Einstellung ihrer Tätigkeiten mindestens ein Jahr vor deren Einstellung darüber. Die Bescheinigungen der notifizierten Stelle +können für einen Zeitraum von neun Monaten nach Einstellung der Tätigkeiten der notifizierten Stelle gültig bleiben, sofern +eine andere notifizierte Stelle schriftlich bestätigt hat, dass sie die Verantwortung für die von diesen Bescheinigungen +abgedeckten Hochrisiko-KI-Systeme übernimmt. Die letztgenannte notifizierte Stelle führt vor Ablauf dieser Frist von neun +Monaten eine vollständige Bewertung der betroffenen Hochrisiko-KI-Systeme durch, bevor sie für diese neue +Bescheinigungen ausstellt. Stellt die notifizierte Stelle ihre Tätigkeit ein, so widerruft die notifizierende Behörde die +Benennung. + + +(4) Hat eine notifizierende Behörde hinreichenden Grund zu der Annahme, dass eine notifizierte Stelle die in Artikel 31 +festgelegten Anforderungen nicht mehr erfüllt oder dass sie ihren Pflichten nicht nachkommt, so untersucht die +notifizierende Behörde den Sachverhalt unverzüglich und mit äußerster Sorgfalt. In diesem Zusammenhang teilt sie der +betreffenden notifizierten Stelle die erhobenen Einwände mit und gibt ihr die Möglichkeit, dazu Stellung zu nehmen. +Kommt die notifizierende Behörde zu dem Schluss, dass die notifizierte Stelle die in Artikel 31 festgelegten Anforderungen +nicht mehr erfüllt oder dass sie ihren Pflichten nicht nachkommt, schränkt sie die Benennung gegebenenfalls ein, setzt sie +aus oder widerruft sie, je nach Schwere der Nichterfüllung dieser Anforderungen oder Pflichtverletzung. Sie informiert die +Kommission und die anderen Mitgliedstaaten unverzüglich darüber. + + +(5) Wird die Benennung einer notifizierten Stelle ausgesetzt, eingeschränkt oder vollständig oder teilweise widerrufen, so +informiert die notifizierte Stelle die betreffenden Anbieter innerhalb von zehn Tagen darüber. + + +(6) Wird eine Benennung eingeschränkt, ausgesetzt oder widerrufen, so ergreift die notifizierende Behörde geeignete +Maßnahmen, um sicherzustellen, dass die Akten der betreffenden notifizierten Stelle für die notifizierenden Behörden in +anderen Mitgliedstaaten und die Marktüberwachungsbehörden bereitgehalten und ihnen auf deren Anfrage zur Verfügung +gestellt werden. + + +(7) Wird eine Benennung eingeschränkt, ausgesetzt oder widerrufen, so geht die notifizierende Behörde wie folgt vor: + + +a)Sie bewertet die Auswirkungen auf die von der notifizierten Stelle ausgestellten Bescheinigungen; + + +b)sie legt der Kommission und den anderen Mitgliedstaaten innerhalb von drei Monaten nach Notifizierung der +Änderungen der Benennung einen Bericht über ihre diesbezüglichen Ergebnisse vor; + + +c) sie weist die notifizierte Stelle zur Gewährleistung der fortlaufenden Konformität der im Verkehr befindlichen +Hochrisiko-KI-Systeme an, sämtliche nicht ordnungsgemäß ausgestellten Bescheinigungen innerhalb einer von der +Behörde festgelegten angemessenen Frist auszusetzen oder zu widerrufen; + + +d)sie informiert die Kommission und die Mitgliedstaaten über Bescheinigungen, deren Aussetzung oder Widerruf sie +angewiesen hat; + + +e) sie stellt den zuständigen nationalen Behörden des Mitgliedstaats, in dem der Anbieter seine eingetragene Niederlassung +hat, alle relevanten Informationen über Bescheinigungen, deren Aussetzung oder Widerruf sie angewiesen hat, zur +Verfügung; diese Behörde ergreift erforderlichenfalls geeignete Maßnahmen, um ein mögliches Risiko für Gesundheit, +Sicherheit oder Grundrechte zu verhindern. + + +(8) Abgesehen von den Fällen, in denen Bescheinigungen nicht ordnungsgemäß ausgestellt wurden und in denen eine +Benennung ausgesetzt oder eingeschränkt wurde, bleiben die Bescheinigungen unter einem der folgenden Umstände gültig: + + +a)Die notifizierende Behörde hat innerhalb eines Monats nach der Aussetzung oder Einschränkung bestätigt, dass im +Zusammenhang mit den von der Aussetzung oder Einschränkung betroffenen Bescheinigungen kein Risiko für +Gesundheit, Sicherheit oder Grundrechte besteht, und die notifizierende Behörde hat einen Zeitplan für Maßnahmen zur +Aufhebung der Aussetzung oder Einschränkung genannt oder + + +b)die notifizierende Behörde hat bestätigt, dass keine von der Aussetzung betroffenen Bescheinigungen während der Dauer +der Aussetzung oder Einschränkung ausgestellt, geändert oder erneut ausgestellt werden, und gibt an, ob die notifizierte +Stelle in der Lage ist, bestehende ausgestellte Bescheinigungen während der Dauer der Aussetzung oder Einschränkung +weiterhin zu überwachen und die Verantwortung dafür zu übernehmen; falls die notifizierende Behörde feststellt, dass +die notifizierte Stelle nicht in der Lage ist, bestehende ausgestellte Bescheinigungen weiterzuführen, so bestätigt der +Anbieter des von der Bescheinigung abgedeckten Systems den zuständigen nationalen Behörden des Mitgliedstaats, in +dem er seine eingetragene Niederlassung hat, innerhalb von drei Monaten nach der Aussetzung oder Einschränkung +schriftlich, dass eine andere qualifizierte notifizierte Stelle vorübergehend die Aufgaben der notifizierten Stelle zur +Überwachung der Bescheinigung übernimmt und dass sie während der Dauer der Aussetzung oder Einschränkung für +die Bescheinigung verantwortlich bleibt. + +# DE ABl. L vom 12.7.2024 + +74/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(9) Abgesehen von den Fällen, in denen Bescheinigungen nicht ordnungsgemäß ausgestellt wurden und in denen eine +Benennung widerrufen wurde, bleiben die Bescheinigungen unter folgenden Umständen für eine Dauer von neun Monaten +gültig: + + +a)Die zuständige nationale Behörde des Mitgliedstaats, in dem der Anbieter des von der Bescheinigung abgedeckten +Hochrisiko-KI-Systems seine eingetragene Niederlassung hat, hat bestätigt, dass im Zusammenhang mit den betreffenden +Hochrisiko-KI-Systemen kein Risiko für Gesundheit, Sicherheit oder Grundrechte besteht, und + + +b)eine andere notifizierte Stelle hat schriftlich bestätigt, dass sie die unmittelbare Verantwortung für diese KI-Systeme +übernehmen und deren Bewertung innerhalb von 12 Monaten ab dem Widerruf der Benennung abgeschlossen haben +wird. + + +Unter den in Unterabsatz 1 genannten Umständen kann die zuständige nationale Behörde des Mitgliedstaats, in dem der +Anbieter des von der Bescheinigung abgedeckten Systems seine Niederlassung hat, die vorläufige Gültigkeit der +Bescheinigungen um zusätzliche Zeiträume von je drei Monaten, jedoch nicht um insgesamt mehr als 12 Monate, +verlängern. + + +Die zuständige nationale Behörde oder die notifizierte Stelle, die die Aufgaben der von der Benennungsänderung +betroffenen notifizierten Stelle übernimmt, informiert unverzüglich die Kommission, die anderen Mitgliedstaaten und die +anderen notifizierten Stellen darüber. + + +Artikel 37 + + +Anfechtungen der Kompetenz notifizierter Stellen + + +(1) Die Kommission untersucht erforderlichenfalls alle Fälle, in denen begründete Zweifel an der Kompetenz einer +notifizierten Stelle oder daran bestehen, dass eine notifizierte Stelle die in Artikel 31 festgelegten Anforderungen und ihre +geltenden Pflichten weiterhin erfüllt. + + +(2) Die notifizierende Behörde stellt der Kommission auf Anfrage alle Informationen über die Notifizierung oder die +Aufrechterhaltung der Kompetenz der betreffenden notifizierten Stelle zur Verfügung. + + +(3) Die Kommission stellt sicher, dass alle im Verlauf ihrer Untersuchungen gemäß diesem Artikel erlangten sensiblen +Informationen gemäß Artikel 78 vertraulich behandelt werden. + + +(4) Stellt die Kommission fest, dass eine notifizierte Stelle die Anforderungen für ihre Notifizierung nicht oder nicht +mehr erfüllt, so informiert sie den notifizierenden Mitgliedstaat entsprechend und fordert ihn auf, die erforderlichen +Abhilfemaßnahmen zu treffen, einschließlich einer Aussetzung oder eines Widerrufs der Notifizierung, sofern dies nötig ist. +Versäumt es ein Mitgliedstaat, die erforderlichen Abhilfemaßnahmen zu ergreifen, kann die Kommission die Benennung im +Wege eines Durchführungsrechtsakts aussetzen, einschränken oder widerrufen. Dieser Durchführungsrechtsakt wird gemäß +dem in Artikel 98 Absatz 2 genannten Prüfverfahren erlassen. + + +Artikel 38 + + +Koordinierung der notifizierten Stellen + + +(1) Die Kommission sorgt dafür, dass in Bezug auf Hochrisiko-KI-Systeme eine zweckmäßige Koordinierung und +Zusammenarbeit zwischen den an den Konformitätsbewertungsverfahren im Rahmen dieser Verordnung beteiligten +notifizierten Stellen in Form einer sektoralen Gruppe notifizierter Stellen eingerichtet und ordnungsgemäß weitergeführt +wird. + + +(2) Jede notifizierende Behörde sorgt dafür, dass sich die von ihr notifizierten Stellen direkt oder über benannte Vertreter +an der Arbeit der in Absatz 1 genannten Gruppe beteiligen. + + +(3) Die Kommission sorgt für den Austausch von Wissen und bewährten Verfahren zwischen den notifizierenden +Behörden. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 75/144 + + + +Artikel 39 + + +Konformitätsbewertungsstellen in Drittländern + + +Konformitätsbewertungsstellen, die nach dem Recht eines Drittlands errichtet wurden, mit dem die Union ein Abkommen +geschlossen hat, können ermächtigt werden, die Tätigkeiten notifizierter Stellen gemäß dieser Verordnung durchzuführen, +sofern sie die Anforderungen gemäß Artikel 31 erfüllen oder das gleiche Maß an Konformität gewährleisten. + + +ABSCHNITT 5 + + +Normen, Konformitätsbewertung, Bescheinigungen, Registrierung + + +Artikel 40 + + +Harmonisierte Normen und Normungsdokumente + + +(1) Bei Hochrisiko-KI-Systemen oder KI-Modellen mit allgemeinem Verwendungszweck, die mit harmonisierten Normen +oder Teilen davon, deren Fundstellen gemäß der Verordnung (EU) Nr. 1025/2012 im Amtsblatt der Europäischen Union +veröffentlicht wurden, übereinstimmen, wird eine Konformität mit den Anforderungen gemäß Abschnitt 2 des vorliegenden +Kapitels oder gegebenenfalls mit den Pflichten gemäß Kapitel V Abschnitte 2 und 3 der vorliegenden Verordnung vermutet, +soweit diese Anforderungen oder Verpflichtungen von den Normen abgedeckt sind. + + +(2) Gemäß Artikel 10 der Verordnung (EU) Nr. 1025/2012 erteilt die Kommission unverzüglich Normungsaufträge, die +alle Anforderungen gemäß Abschnitt 2 des vorliegenden Kapitels abdecken und gegebenenfalls Normungsaufträge, die +Pflichten gemäß Kapitel V Abschnitte 2 und 3 der vorliegenden Verordnung abdecken. In dem Normungsauftrag werden +auch Dokumente zu den Berichterstattungs- und Dokumentationsverfahren im Hinblick auf die Verbesserung der +Ressourcenleistung von KI-Systemen z. B. durch die Verringerung des Energie- und sonstigen Ressourcenverbrauchs des +Hochrisiko-KI-Systems während seines gesamten Lebenszyklus und zu der energieeffizienten Entwicklung von KI-Modellen +mit allgemeinem Verwendungszweck verlangt. Bei der Ausarbeitung des Normungsauftrags konsultiert die Kommission das +KI-Gremium und die einschlägigen Interessenträger, darunter das Beratungsforum. + + +Bei der Erteilung eines Normungsauftrags an die europäischen Normungsorganisationen gibt die Kommission an, dass die +Normen klar und — u. a. mit den Normen, die in den verschiedenen Sektoren für Produkte entwickelt wurden, die unter die +in Anhang I aufgeführten geltenden Harmonisierungsrechtsvorschriften der Union fallen — konsistent sein müssen und +sicherstellen sollen, dass die in der Union in Verkehr gebrachten oder in Betrieb genommenen Hochrisiko-KI-Systeme oder +KI-Modelle mit allgemeinem Verwendungszweck die in dieser Verordnung festgelegten einschlägigen Anforderungen oder +Pflichten erfüllen. + + +Die Kommission fordert die europäischen Normungsorganisationen auf, Nachweise dafür vorzulegen, dass sie sich nach +besten Kräften bemühen, die in den Unterabsätzen 1 und 2 dieses Absatzes genannten Ziele im Einklang mit Artikel 24 der +Verordnung (EU) Nr. 1025/2012 zu erreichen. + + +(3) Die am Normungsprozess Beteiligten bemühen sich, Investitionen und Innovationen im Bereich der KI, u. a. durch +Erhöhung der Rechtssicherheit, sowie der Wettbewerbsfähigkeit und des Wachstums des Unionsmarktes zu fördern und zur +Stärkung der weltweiten Zusammenarbeit bei der Normung und zur Berücksichtigung bestehender internationaler Normen +im Bereich der KI, die mit den Werten, Grundrechten und Interessen der Union im Einklang stehen, beizutragen und die +Multi-Stakeholder-Governance zu verbessern, indem eine ausgewogene Vertretung der Interessen und eine wirksame +Beteiligung aller relevanten Interessenträger gemäß den Artikeln 5, 6 und 7 der Verordnung (EU) Nr. 1025/2012 +sichergestellt werden. + + +Artikel 41 + + +Gemeinsame Spezifikationen + + +(1) Die Kommission kann Durchführungsrechtsakte zur Festlegung gemeinsamer Spezifikationen für die Anforderungen +gemäß Abschnitt 2 dieses Kapitels oder gegebenenfalls die Pflichten gemäß Kapitel V Abschnitte 2 und 3 erlassen, wenn die +folgenden Bedingungen erfüllt sind: + + +a)Die Kommission hat gemäß Artikel 10 Absatz 1 der Verordnung (EU) Nr. 1025/2012 eine oder mehrere europäische +Normungsorganisationen damit beauftragt, eine harmonisierte Norm für die in Abschnitt 2 dieses Kapitels festgelegten +Anforderungen oder gegebenenfalls für die in Kapitel V Abschnitte 2 und 3 festgelegten Pflichten zu erarbeiten, und + + +i)der Auftrag wurde von keiner der europäischen Normungsorganisationen angenommen oder + +# DE ABl. L vom 12.7.2024 + +76/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +ii)die harmonisierten Normen, die Gegenstand dieses Auftrags sind, werden nicht innerhalb der gemäß Artikel 10 +Absatz 1 der Verordnung (EU) Nr. 1025/2012 festgelegten Frist erarbeitet oder + + +iii)die einschlägigen harmonisierten Normen tragen den Bedenken im Bereich der Grundrechte nicht ausreichend +Rechnung oder + + +iv)die harmonisierten Normen entsprechen nicht dem Auftrag und + + +b)im Amtsblatt der Europäischen Union sind keine Fundstellen zu harmonisierten Normen gemäß der Verordnung +(EU) Nr. 1025/2012 veröffentlicht, die den in Abschnitt 2 dieses Kapitels aufgeführten Anforderungen oder +gegebenenfalls den in Kapitel V Abschnitte 2 und 3 aufgeführten Pflichten genügen, und es ist nicht zu erwarten, dass +eine solche Fundstelle innerhalb eines angemessenen Zeitraums veröffentlicht wird. + + +Bei der Verfassung der gemeinsamen Spezifikationen konsultiert die Kommission das in Artikel 67 genannte +Beratungsforum. + + +Die in Unterabsatz 1 des vorliegenden Absatzes genannten Durchführungsrechtsakte werden gemäß dem in Artikel 98 +Absatz 2 genannten Prüfverfahren erlassen. + + +(2) Vor der Ausarbeitung eines Entwurfs eines Durchführungsrechtsakts informiert die Kommission den in Artikel 22 +der Verordnung (EU) Nr. 1025/2012 genannten Ausschuss darüber, dass sie die in Absatz 1 des vorliegenden Artikels +festgelegten Bedingungen als erfüllt erachtet. + + +(3) Bei Hochrisiko-KI-Systemen oder KI-Modellen mit allgemeinem Verwendungszweck, die mit den in Absatz 1 +genannten gemeinsamen Spezifikationen oder Teilen dieser Spezifikationen übereinstimmen, wird eine Konformität mit den +Anforderungen in Abschnitt 2 dieses Kapitels oder gegebenenfalls die Einhaltung der in Kapitel V Abschnitte 2 und 3 +genannten Pflichten vermutet, soweit diese Anforderungen oder diese Pflichten von den gemeinsamen Spezifikationen +abgedeckt sind. + + +(4) Wird eine harmonisierte Norm von einer europäischen Normungsorganisation angenommen und der Kommission +zur Veröffentlichung ihrer Fundstelle im Amtsblatt der Europäischen Union vorgeschlagen, so bewertet die Kommission die +harmonisierte Norm gemäß der Verordnung (EU) Nr. 1025/2012. Wird die Fundstelle zu einer harmonisierten Norm im +Amtsblatt der Europäischen Union veröffentlicht, so werden die in Absatz 1 genannten Durchführungsrechtsakte, die dieselben +Anforderungen gemäß Abschnitt 2 dieses Kapitels oder gegebenenfalls dieselben Pflichten gemäß Kapitel V Abschnitte 2 +und 3 erfassen, von der Kommission ganz oder teilweise aufgehoben. + + +(5) Wenn Anbieter von Hochrisiko-KI-Systemen oder KI-Modellen mit allgemeinem Verwendungszweck die in Absatz 1 +genannten gemeinsamen Spezifikationen nicht befolgen, müssen sie hinreichend nachweisen, dass sie technische Lösungen +verwenden, die die in Abschnitt 2 dieses Kapitels aufgeführten Anforderungen oder gegebenenfalls die Pflichten gemäß +Kapitel V Abschnitte 2 und 3 zumindest in gleichem Maße erfüllen; + + +(6) Ist ein Mitgliedstaat der Auffassung, dass eine gemeinsame Spezifikation den Anforderungen gemäß Abschnitt 2 +nicht vollständig entspricht oder gegebenenfalls die Pflichten gemäß Kapitel V Abschnitte 2 und 3 nicht vollständig erfüllt, +so setzt er die Kommission im Rahmen einer ausführlichen Erläuterung davon in Kenntnis. Die Kommission bewertet die +betreffende Information und ändert gegebenenfalls den Durchführungsrechtsakt, durch den die betreffende gemeinsame +Spezifikation festgelegt wurde. + + +Artikel 42 + + +Vermutung der Konformität mit bestimmten Anforderungen + + +(1) Für Hochrisiko-KI-Systeme, die mit Daten, in denen sich die besonderen geografischen, verhaltensbezogenen, +kontextuellen oder funktionalen Rahmenbedingungen niederschlagen, unter denen sie verwendet werden sollen, trainiert +und getestet wurden, gilt die Vermutung, dass sie die in Artikel 10 Absatz 4 festgelegten einschlägigen Anforderungen +erfüllen. + + +(2) Für Hochrisiko-KI-Systeme, die im Rahmen eines der Cybersicherheitszertifizierungssysteme gemäß der Verordnung +(EU) 2019/881, deren Fundstellen im Amtsblatt der Europäischen Union veröffentlicht wurden, zertifiziert wurden oder für +die eine solche Konformitätserklärung erstellt wurde, gilt die Vermutung, dass sie die in Artikel 15 der vorliegenden +Verordnung festgelegten Cybersicherheitsanforderungen erfüllen, sofern diese Anforderungen von der Cybersicherheits- +zertifizierung oder der Konformitätserklärung oder Teilen davon abdeckt sind. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 77/144 + + + +Artikel 43 + + +Konformitätsbewertung + + +(1) Hat ein Anbieter zum Nachweis, dass ein in Anhang III Nummer 1 aufgeführtes Hochrisiko-KI-System die in +Abschnitt 2 festgelegten Anforderungen erfüllt, harmonisierte Normen gemäß Artikel 40 oder gegebenenfalls gemeinsame +Spezifikationen gemäß Artikel 41 angewandt, so entscheidet er sich für eines der folgenden Konformitätsbewertungs- +verfahren auf der Grundlage + + +a)der internen Kontrolle gemäß Anhang VI oder + + +b)der Bewertung des Qualitätsmanagementsystems und der Bewertung der technischen Dokumentation unter Beteiligung +einer notifizierten Stelle gemäß Anhang VII. + + +Zum Nachweis, dass sein Hochrisiko-KI-System die in Abschnitt 2 festgelegten Anforderungen erfüllt, befolgt der Anbieter +das Konformitätsbewertungsverfahren gemäß Anhang VII, wenn + + +a)es harmonisierte Normen gemäß Artikel 40 nicht gibt und keine gemeinsamen Spezifikationen gemäß Artikel 41 +vorliegen, + + +b)der Anbieter die harmonisierte Norm nicht oder nur teilweise angewandt hat; + + +c) die unter Buchstabe a genannten gemeinsamen Spezifikationen zwar vorliegen, der Anbieter sie jedoch nicht angewandt +hat; + + +d)eine oder mehrere der unter Buchstabe a genannten harmonisierten Normen mit einer Einschränkung und nur für den +eingeschränkten Teil der Norm veröffentlicht wurden. + + +Für die Zwecke des Konformitätsbewertungsverfahrens gemäß Anhang VII kann der Anbieter eine der notifizierten Stellen +auswählen. Soll das Hochrisiko-KI-System jedoch von Strafverfolgungs-, Einwanderungs- oder Asylbehörden oder von +Organen, Einrichtungen oder sonstigen Stellen der Union in Betrieb genommen werden, so übernimmt die in Artikel 74 +Absatz 8 bzw. 9 genannte Marktüberwachungsbehörde die Funktion der notifizierten Stelle. + + +(2) Bei den in Anhang III Nummern 2 bis 8 aufgeführten Hochrisiko-KI-Systemen befolgen die Anbieter das +Konformitätsbewertungsverfahren auf der Grundlage einer internen Kontrolle gemäß Anhang VI, das keine Beteiligung +einer notifizierten Stelle vorsieht. + + +(3) Bei den Hochrisiko-KI-Systemen, die unter die in Anhang I Abschnitt A aufgeführten Harmonisierungsrechtsakte der +Union fallen, befolgt der Anbieter die einschlägigen Konformitätsbewertungsverfahren, die nach diesen Rechtsakten +erforderlich sind. Die in Abschnitt 2 dieses Kapitels festgelegten Anforderungen gelten für diese Hochrisiko-KI-Systeme und +werden in diese Bewertung einbezogen. Anhang VII Nummern 4.3, 4.4 und 4.5 sowie Nummer 4.6 Absatz 5 finden +ebenfalls Anwendung. + + +Für die Zwecke dieser Bewertung sind die notifizierten Stellen, die gemäß diesen Rechtsakten notifiziert wurden, berechtigt, +die Konformität der Hochrisiko-KI-Systeme mit den in Abschnitt 2 festgelegten Anforderungen zu kontrollieren, sofern im +Rahmen des gemäß diesen Rechtsakten durchgeführten Notifizierungsverfahrens geprüft wurde, dass diese notifizierten +Stellen die in Artikel 31 Absätze 4, 5, 10 und 11 festgelegten Anforderungen erfüllen. + + +Wenn ein in Anhang I Abschnitt A aufgeführter Rechtsakte es dem Hersteller des Produkts ermöglicht, auf eine +Konformitätsbewertung durch Dritte zu verzichten, sofern dieser Hersteller alle harmonisierten Normen, die alle +einschlägigen Anforderungen abdecken, angewandt hat, so darf dieser Hersteller nur dann von dieser Möglichkeit Gebrauch +machen, wenn er auch harmonisierte Normen oder gegebenenfalls gemeinsame Spezifikationen gemäß Artikel 41, die alle +in Abschnitt 2 dieses Kapitels festgelegten Anforderungen abdecken, angewandt hat. + + +(4) Hochrisiko-KI-Systeme, die bereits Gegenstand eines Konformitätsbewertungsverfahren gewesen sind, werden im +Falle einer wesentlichen Änderung einem neuen Konformitätsbewertungsverfahren unterzogen, unabhängig davon, ob das +geänderte System noch weiter in Verkehr gebracht oder vom derzeitigen Betreiber weitergenutzt werden soll. + + +Bei Hochrisiko-KI-Systemen, die nach dem Inverkehrbringen oder der Inbetriebnahme weiterhin dazulernen, gelten +Änderungen des Hochrisiko-KI-Systems und seiner Leistung, die vom Anbieter zum Zeitpunkt der ursprünglichen +Konformitätsbewertung vorab festgelegt wurden und in den Informationen der technischen Dokumentation gemäß +Anhang IV Nummer 2 Buchstabe f enthalten sind, nicht als wesentliche Veränderung; + + +(5) Die Kommission ist befugt, gemäß Artikel 97 delegierte Rechtsakte zu erlassen, um die Anhänge VI und VII zu +ändern, indem sie sie angesichts des technischen Fortschritts aktualisiert. + +# DE ABl. L vom 12.7.2024 + +78/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(6) Die Kommission ist befugt, gemäß Artikel 97 delegierte Rechtsakte zur Änderung der Absätze 1 und 2 des +vorliegenden Artikels zu erlassen, um die in Anhang III Nummern 2 bis 8 genannten Hochrisiko-KI-Systeme dem +Konformitätsbewertungsverfahren gemäß Anhang VII oder Teilen davon zu unterwerfen. Die Kommission erlässt solche +delegierten Rechtsakte unter Berücksichtigung der Wirksamkeit des Konformitätsbewertungsverfahrens auf der Grundlage +einer internen Kontrolle gemäß Anhang VI hinsichtlich der Vermeidung oder Minimierung der von solchen Systemen +ausgehenden Risiken für die Gesundheit und Sicherheit und den Schutz der Grundrechte sowie hinsichtlich der +Verfügbarkeit angemessener Kapazitäten und Ressourcen in den notifizierten Stellen. + + +Artikel 44 + + +Bescheinigungen + + +(1) Die von notifizierten Stellen gemäß Anhang VII ausgestellten Bescheinigungen werden in einer Sprache ausgefertigt, +die für die einschlägigen Behörden des Mitgliedstaats, in dem die notifizierte Stelle niedergelassen ist, leicht verständlich ist. + + +(2) Die Bescheinigungen sind für die darin genannte Dauer gültig, die maximal fünf Jahre für unter Anhang I fallende +KI-Systeme und maximal vier Jahre für unter Anhang III fallende KI-Systeme beträgt. Auf Antrag des Anbieters kann die +Gültigkeit einer Bescheinigung auf der Grundlage einer Neubewertung gemäß den geltenden Konformitätsbewertungsver- +fahren um weitere Zeiträume von jeweils höchstens fünf Jahren für unter Anhang I fallende KI-Systeme und höchstens vier +Jahre für unter Anhang III fallende KI-Systeme verlängert werden. Eine Ergänzung zu einer Bescheinigung bleibt gültig, +sofern die Bescheinigung, zu der sie gehört, gültig ist. + + +(3) Stellt eine notifizierte Stelle fest, dass ein KI-System die in Abschnitt 2 festgelegten Anforderungen nicht mehr erfüllt, +so setzt sie die ausgestellte Bescheinigung aus, widerruft sie oder schränkt sie ein, jeweils unter Berücksichtigung des +Grundsatzes der Verhältnismäßigkeit, sofern die Einhaltung der Anforderungen nicht durch geeignete Korrekturmaßnah- +men des Anbieters des Systems innerhalb einer von der notifizierten Stelle gesetzten angemessenen Frist wiederhergestellt +wird. Die notifizierte Stelle begründet ihre Entscheidung. + + +Es muss ein Einspruchsverfahren gegen die Entscheidungen der notifizierten Stellen, auch solche über ausgestellte +Konformitätsbescheinigungen, vorgesehen sein. + + +Artikel 45 + + +Informationspflichten der notifizierten Stellen + + +(1) Die notifizierten Stellen informieren die notifizierende Behörde über + + +a)alle Unionsbescheinigungen über die Bewertung der technischen Dokumentation, etwaige Ergänzungen dieser +Bescheinigungen und alle Genehmigungen von Qualitätsmanagementsystemen, die gemäß den Anforderungen des +Anhangs VII erteilt wurden; + + +b)alle Verweigerungen, Einschränkungen, Aussetzungen oder Rücknahmen von Unionsbescheinigungen über die +Bewertung der technischen Dokumentation oder Genehmigungen von Qualitätsmanagementsystemen, die gemäß den +Anforderungen des Anhangs VII erteilt wurden; + + +c) alle Umstände, die Folgen für den Anwendungsbereich oder die Bedingungen der Notifizierung haben; + + +d)alle Auskunftsersuchen über Konformitätsbewertungstätigkeiten, die sie von den Marktüberwachungsbehörden erhalten +haben; + + +e) auf Anfrage die Konformitätsbewertungstätigkeiten, denen sie im Anwendungsbereich ihrer Notifizierung nachgegangen +sind, und sonstige Tätigkeiten, einschließlich grenzüberschreitender Tätigkeiten und Vergabe von Unteraufträgen, die sie +durchgeführt haben. + + +(2) Jede notifizierte Stelle informiert die anderen notifizierten Stellen über + + +a)die Genehmigungen von Qualitätsmanagementsystemen, die sie verweigert, ausgesetzt oder zurückgenommen hat, und +auf Anfrage die Genehmigungen von Qualitätsmanagementsystemen, die sie erteilt hat; + + +b)die Bescheinigungen der Union über die Bewertung der technischen Dokumentation und deren etwaige Ergänzungen, die +sie verweigert, ausgesetzt oder zurückgenommen oder anderweitig eingeschränkt hat, und auf Anfrage die +Bescheinigungen und/oder deren Ergänzungen, die sie ausgestellt hat. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 79/144 + + + +(3) Jede notifizierte Stelle übermittelt den anderen notifizierten Stellen, die ähnlichen Konformitätsbewertungstätigkeiten +für die gleichen Arten der KI-Systeme nachgehen, einschlägige Informationen über negative und auf Anfrage über positive +Konformitätsbewertungsergebnisse. + + +(4) Notifizierende Behörden gewährleisten gemäß Artikel 78 die Vertraulichkeit der von ihnen erlangten Informationen. + + +Artikel 46 + + +Ausnahme vom Konformitätsbewertungsverfahren + + +(1) Abweichend von Artikel 43 und auf ein hinreichend begründetes Ersuchen kann eine Marktüberwachungsbehörde +das Inverkehrbringen oder die Inbetriebnahme bestimmter Hochrisiko-KI-Systeme im Hoheitsgebiet des betreffenden +Mitgliedstaats aus außergewöhnlichen Gründen der öffentlichen Sicherheit, des Schutzes des Lebens und der Gesundheit +von Personen, des Umweltschutzes oder des Schutzes wichtiger Industrie- und Infrastrukturanlagen genehmigen. Diese +Genehmigung wird auf die Dauer der erforderlichen Konformitätsbewertungsverfahren befristet, wobei den außer- +gewöhnlichen Gründen für die Ausnahme Rechnung getragen wird. Der Abschluss dieser Verfahren erfolgt unverzüglich. + + +(2) In hinreichend begründeten dringenden Fällen aus außergewöhnlichen Gründen der öffentlichen Sicherheit oder in +Fällen einer konkreten, erheblichen und unmittelbaren Gefahr für das Leben oder die körperliche Unversehrtheit natürlicher +Personen können Strafverfolgungsbehörden oder Katastrophenschutzbehörden ein bestimmtes Hochrisiko-KI-System ohne +die in Absatz 1 genannte Genehmigung in Betrieb nehmen, sofern diese Genehmigung während der Verwendung oder im +Anschluss daran unverzüglich beantragt wird. Falls die Genehmigung gemäß Absatz 1 abgelehnt wird, wird Verwendung +des Hochrisiko-KI-Systems mit sofortiger Wirkung eingestellt und sämtliche Ergebnisse und Ausgaben dieser Verwendung +werden unverzüglich verworfen. + + +(3) Die in Absatz 1 genannte Genehmigung wird nur erteilt, wenn die Marktüberwachungsbehörde zu dem Schluss +gelangt, dass das Hochrisiko-KI-System die Anforderungen des Abschnitts 2 erfüllt. Die Marktüberwachungsbehörde +informiert die Kommission und die anderen Mitgliedstaaten über alle von ihr gemäß den Absätzen 1 und 2 erteilten +Genehmigungen. Diese Pflicht erstreckt sich nicht auf sensible operative Daten zu den Tätigkeiten von Strafverfolgungs- +behörden. + + +(4) Erhebt weder ein Mitgliedstaat noch die Kommission innerhalb von 15 Kalendertagen nach Erhalt der in Absatz 3 +genannten Mitteilung Einwände gegen die von einer Marktüberwachungsbehörde eines Mitgliedstaats gemäß Absatz 1 +erteilte Genehmigung, so gilt diese Genehmigung als gerechtfertigt. + + +(5) Erhebt innerhalb von 15 Kalendertagen nach Erhalt der in Absatz 3 genannten Mitteilung ein Mitgliedstaat Einwände +gegen eine von einer Marktüberwachungsbehörde eines anderen Mitgliedstaats erteilte Genehmigung oder ist die +Kommission der Auffassung, dass die Genehmigung mit dem Unionsrecht unvereinbar ist oder dass die Schlussfolgerung +der Mitgliedstaaten in Bezug auf die Konformität des in Absatz 3 genannten Systems unbegründet ist, so nimmt die +Kommission unverzüglich Konsultationen mit dem betreffenden Mitgliedstaat auf. Die betroffenen Akteure werden +konsultiert und erhalten Gelegenheit, dazu Stellung zu nehmen. In Anbetracht dessen entscheidet die Kommission, ob die +Genehmigung gerechtfertigt ist. Die Kommission richtet ihren Beschluss an den betroffenen Mitgliedstaat und an die +betroffenen Akteure. + + +(6) Wird die Genehmigung von der Kommission als ungerechtfertigt erachtet, so muss sie von der Marktüber- +wachungsbehörde des betreffenden Mitgliedstaats zurückgenommen werden. + + +(7) Für Hochrisiko-KI-Systeme im Zusammenhang mit Produkten, die unter die in Anhang I Abschnitt A aufgeführten +Harmonisierungsrechtsvorschriften der Union fallen, gelten nur die in diesen Harmonisierungsrechtsvorschriften der Union +festgelegten Ausnahmen von den Konformitätsbewertungsverfahren. + + +Artikel 47 +EU-Konformitätserklärung + + +(1) Der Anbieter stellt für jedes Hochrisiko-KI-System eine schriftliche maschinenlesbare, physische oder elektronisch +unterzeichnete EU-Konformitätserklärung aus und hält sie für einen Zeitraum von 10 Jahren ab dem Inverkehrbringen oder +der Inbetriebnahme des Hochrisiko-KI-Systems für die zuständigen nationalen Behörden bereit. Aus der EU-Konformit- +ätserklärung geht hervor, für welches Hochrisiko-KI-System sie ausgestellt wurde. Eine Kopie der EU-Konformitätserklärung +wird den zuständigen nationalen Behörden auf Anfrage übermittelt. + +# DE ABl. L vom 12.7.2024 + +80/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(2) Die EU-Konformitätserklärung muss feststellen, dass das betreffende Hochrisiko-KI-System die in Abschnitt 2 +festgelegten Anforderungen erfüllt. Die EU-Konformitätserklärung enthält die in Anhang V festgelegten Informationen und +wird in eine Sprache übersetzt, die für die zuständigen nationalen Behörden der Mitgliedstaaten, in denen das +Hochrisiko-KI-System in Verkehr gebracht oder bereitgestellt wird, leicht verständlich ist. + + +(3) Unterliegen Hochrisiko-KI-Systeme anderen Harmonisierungsrechtsvorschriften der Union, die ebenfalls eine +EU-Konformitätserklärung vorschreiben, so wird eine einzige EU-Konformitätserklärung ausgestellt, die sich auf alle für das +Hochrisiko-KI-System geltenden Rechtsvorschriften der Union bezieht. Die Erklärung enthält alle erforderlichen +Informationen zur Feststellung der Harmonisierungsrechtsvorschriften der Union, auf die sich die Erklärung bezieht. + + +(4) Mit der Ausstellung der EU-Konformitätserklärung übernimmt der Anbieter die Verantwortung für die Erfüllung der +in Abschnitt 2 festgelegten Anforderungen. Der Anbieter hält die EU-Konformitätserklärung gegebenenfalls auf dem +neuesten Stand. + + +(5) Der Kommission ist befugt, gemäß Artikel 97 delegierte Rechtsakte zur Aktualisierung des in Anhang V festgelegten +Inhalts der EU-Konformitätserklärung zu erlassen, um den genannten Anhang durch die Einführung von Elementen zu +ändern, die angesichts des technischen Fortschritts erforderlich werden. + + +Artikel 48 + + +CE-Kennzeichnung + + +(1) Für die CE-Kennzeichnung gelten die in Artikel 30 der Verordnung (EG) Nr. 765/2008 festgelegten allgemeinen +Grundsätze. + + +(2) Bei digital bereitgestellten Hochrisiko-KI-Systemen wird eine digitale CE-Kennzeichnung nur dann verwendet, wenn +sie über die Schnittstelle, von der aus auf dieses System zugegriffen wird, oder über einen leicht zugänglichen +maschinenlesbaren Code oder andere elektronische Mittel leicht zugänglich ist. + + +(3) Die CE-Kennzeichnung wird gut sichtbar, leserlich und dauerhaft an Hochrisiko-KI-Systemen angebracht. Falls die +Art des Hochrisiko-KI-Systems dies nicht zulässt oder nicht rechtfertigt, wird sie auf der Verpackung bzw. der beigefügten +Dokumentation angebracht. + + +(4) Gegebenenfalls wird der CE-Kennzeichnung die Identifizierungsnummer der für die in Artikel 43 festgelegten +Konformitätsbewertungsverfahren zuständigen notifizierten Stelle hinzugefügt. Die Identifizierungsnummer der notifi- +zierten Stelle ist entweder von der Stelle selbst oder nach ihren Anweisungen durch den Anbieter oder den +Bevollmächtigten des Anbieters anzubringen. Diese Identifizierungsnummer wird auch auf jeglichem Werbematerial +angegeben, in dem darauf hingewiesen wird, dass das Hochrisiko-KI-System die Anforderungen für die CE-Kennzeichnung +erfüllt. + + +(5) Falls Hochrisiko-KI-Systeme ferner unter andere Rechtsvorschriften der Union fallen, in denen die CE-Kennzeichnung +auch vorgesehen ist, bedeutet die CE-Kennzeichnung, dass das Hochrisiko-KI-System auch die Anforderungen dieser +anderen Rechtsvorschriften erfüllt. + + +Artikel 49 + + +Registrierung + + +(1) Vor dem Inverkehrbringen oder der Inbetriebnahme eines in Anhang III aufgeführten Hochrisiko-KI-Systems — mit +Ausnahme der in Anhang III Nummer 2 genannten Hochrisiko-KI-Systeme — registriert der Anbieter oder gegebenenfalls +sein Bevollmächtigter sich und sein System in der in Artikel 71 genannten EU-Datenbank. + + +(2) Vor dem Inverkehrbringen oder der Inbetriebnahme eines Hochrisiko-KI-Systems, bei dem der Anbieter zu dem +Schluss gelangt ist, dass es nicht hochriskant gemäß Artikel 6 Absatz 3 ist, registriert dieser Anbieter oder gegebenenfalls +sein Bevollmächtigter sich und dieses System in der in Artikel 71 genannten EU-Datenbank. + + +(3) Vor der Inbetriebnahme oder Verwendung eines in Anhang III aufgeführten Hochrisiko-KI-Systems — mit Ausnahme +der in Anhang III Nummer 2 aufgeführten Hochrisiko-KI-Systeme — registrieren sich Betreiber, bei denen es sich um +Behörden oder Organe, Einrichtungen oder sonstige Stellen der Union oder in ihrem Namen handelnde Personen handelt, +in der in Artikel 71 genannten EU-Datenbank, wählen das System aus und registrieren es dort. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 81/144 + +(4) Bei den in Anhang III Nummern 1, 6 und 7 genannten Hochrisiko-KI-Systemen erfolgt in den Bereichen +Strafverfolgung, Migration, Asyl und Grenzkontrolle die Registrierung gemäß den Absätzen 1, 2 und 3 des vorliegenden +Artikels in einem sicheren nicht öffentlichen Teil der in Artikel 71 genannten EU-Datenbank und enthält, soweit zutreffend, +lediglich die Informationen gemäß + + +a)Anhang VIII Abschnitt A Nummern 1 bis 10 mit Ausnahme der Nummern 6, 8 und 9, + + +b)Anhang VIII Abschnitt B Nummern 1 bis 5 sowie Nummern 8 und 9, + + +c) Anhang VIII Abschnitt C Nummern 1 bis 3, + + +d)Anhang IX Nummern 1, 2, 3 und Nummer 5. + + +Nur die Kommission und die in Artikel 74 Absatz 8 genannten nationalen Behörden haben Zugang zu den jeweiligen +beschränkten Teilen der EU-Datenbank gemäß Unterabsatz 1 dieses Absatzes. + + +(5) Die in Anhang III Nummer 2 genannten Hochrisiko-KI-Systeme werden auf nationaler Ebene registriert. diff --git a/addons/godot_llama/demo/documents/5.md b/addons/godot_llama/demo/documents/5.md new file mode 100644 index 0000000..b890502 --- /dev/null +++ b/addons/godot_llama/demo/documents/5.md @@ -0,0 +1,70 @@ +KAPITEL IV +TRANSPARENZPFLICHTEN FÜR ANBIETER UND BETREIBER BESTIMMTER KI-SYSTEME + + +Artikel 50 +Transparenzpflichten für Anbieter und Betreiber bestimmter KI-Systeme + + +(1) Die Anbieter stellen sicher, dass KI-Systeme, die für die direkte Interaktion mit natürlichen Personen bestimmt sind, +so konzipiert und entwickelt werden, dass die betreffenden natürlichen Personen informiert werden, dass sie mit einem +KI-System interagieren, es sei denn, dies ist aus Sicht einer angemessen informierten, aufmerksamen und verständigen +natürlichen Person aufgrund der Umstände und des Kontexts der Nutzung offensichtlich. Diese Pflicht gilt nicht für +gesetzlich zur Aufdeckung, Verhütung, Ermittlung oder Verfolgung von Straftaten zugelassene KI-Systeme, wenn geeignete +Schutzvorkehrungen für die Rechte und Freiheiten Dritter bestehen, es sei denn, diese Systeme stehen der Öffentlichkeit zur +Anzeige einer Straftat zur Verfügung. + + +(2) Anbieter von KI-Systemen, einschließlich KI-Systemen mit allgemeinem Verwendungszweck, die synthetische +Audio-, Bild-, Video- oder Textinhalte erzeugen, stellen sicher, dass die Ausgaben des KI-Systems in einem +maschinenlesbaren Format gekennzeichnet und als künstlich erzeugt oder manipuliert erkennbar sind. Die Anbieter +sorgen dafür, dass — soweit technisch möglich — ihre technischen Lösungen wirksam, interoperabel, belastbar und +zuverlässig sind und berücksichtigen dabei die Besonderheiten und Beschränkungen der verschiedenen Arten von Inhalten, +die Umsetzungskosten und den allgemein anerkannten Stand der Technik, wie er in den einschlägigen technischen Normen +zum Ausdruck kommen kann. Diese Pflicht gilt nicht, soweit die KI-Systeme eine unterstützende Funktion für die +Standardbearbeitung ausführen oder die vom Betreiber bereitgestellten Eingabedaten oder deren Semantik nicht wesentlich +verändern oder wenn sie zur Aufdeckung, Verhütung, Ermittlung oder Verfolgung von Straftaten gesetzlich zugelassen sind. + + +(3) Die Betreiber eines Emotionserkennungssystems oder eines Systems zur biometrischen Kategorisierung informieren +die davon betroffenen natürlichen Personen über den Betrieb des Systems und verarbeiten personenbezogene Daten gemäß +den Verordnungen (EU) 2016/679 und (EU) 2018/1725 und der Richtlinie (EU) 2016/680. Diese Pflicht gilt nicht für +gesetzlich zur Aufdeckung, Verhütung oder Ermittlung von Straftaten zugelassene KI-Systeme, die zur biometrischen +Kategorisierung und Emotionserkennung im Einklang mit dem Unionsrecht verwendet werden, sofern geeignete +Schutzvorkehrungen für die Rechte und Freiheiten Dritter bestehen. + + +(4) Betreiber eines KI-Systems, das Bild-, Ton- oder Videoinhalte erzeugt oder manipuliert, die ein Deepfake sind, müssen +offenlegen, dass die Inhalte künstlich erzeugt oder manipuliert wurden. Diese Pflicht gilt nicht, wenn die Verwendung zur +Aufdeckung, Verhütung, Ermittlung oder Verfolgung von Straftaten gesetzlich zugelassen ist. Ist der Inhalt Teil eines +offensichtlich künstlerischen, kreativen, satirischen, fiktionalen oder analogen Werks oder Programms, so beschränken sich +die in diesem Absatz festgelegten Transparenzpflichten darauf, das Vorhandensein solcher erzeugten oder manipulierten +Inhalte in geeigneter Weise offenzulegen, die die Darstellung oder den Genuss des Werks nicht beeinträchtigt. + + +Betreiber eines KI-Systems, das Text erzeugt oder manipuliert, der veröffentlicht wird, um die Öffentlichkeit über +Angelegenheiten von öffentlichem Interesse zu informieren, müssen offenlegen, dass der Text künstlich erzeugt oder +manipuliert wurde. Diese Pflicht gilt nicht, wenn die Verwendung zur Aufdeckung, Verhütung, Ermittlung oder Verfolgung +von Straftaten gesetzlich zugelassen ist oder wenn die durch KI erzeugten Inhalte einem Verfahren der menschlichen +Überprüfung oder redaktionellen Kontrolle unterzogen wurden und wenn eine natürliche oder juristische Person die +redaktionelle Verantwortung für die Veröffentlichung der Inhalte trägt. + +# DE ABl. L vom 12.7. + +82/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +(5) Die in den Absätzen 1 bis 4 genannten Informationen werden den betreffenden natürlichen Personen spätestens zum +Zeitpunkt der ersten Interaktion oder Aussetzung in klarer und eindeutiger Weise bereitgestellt. Die Informationen müssen +den geltenden Barrierefreiheitsanforderungen entsprechen. + + +(6) Die Absätze 1 bis 4 lassen die in Kapitel III festgelegten Anforderungen und Pflichten unberührt und berühren nicht +andere Transparenzpflichten, die im Unionsrecht oder dem nationalen Recht für Betreiber von KI-Systemen festgelegt sind. + + +(7) Das Büro für Künstliche Intelligenz fördert und erleichtert die Ausarbeitung von Praxisleitfäden auf Unionsebene, um +die wirksame Umsetzung der Pflichten in Bezug auf die Feststellung und Kennzeichnung künstlich erzeugter oder +manipulierter Inhalte zu erleichtern. Die Kommission kann Durchführungsrechtsakte zur Genehmigung dieser +Praxisleitfäden nach dem in Artikel 56 Absatz 6 festgelegten Verfahren erlassen. Hält sie einen Kodex für nicht +angemessen, so kann die Kommission einen Durchführungsrechtsakt gemäß dem in Artikel 98 Absatz 2 genannten +Prüfverfahren erlassen, in dem gemeinsame Vorschriften für die Umsetzung dieser Pflichten festgelegt werden. diff --git a/addons/godot_llama/demo/documents/6.md b/addons/godot_llama/demo/documents/6.md new file mode 100644 index 0000000..f3297f0 --- /dev/null +++ b/addons/godot_llama/demo/documents/6.md @@ -0,0 +1,393 @@ +KAPITEL V +KI-MODELLE MIT ALLGEMEINEM VERWENDUNGSZWECK + + +ABSCHNITT 1 + + +Einstufungsvorschriften + + +Artikel 51 + + +Einstufung von KI-Modellen mit allgemeinem Verwendungszweck als KI-Modelle mit allgemeinem Verwen- +dungszweck mit systemischem Risiko + + +(1) Ein KI-Modell mit allgemeinem Verwendungszweck wird als KI-Modell mit allgemeinem Verwendungszweck mit +systemischem Risiko eingestuft, wenn eine der folgenden Bedingungen erfüllt ist: + + +a)Es verfügt über Fähigkeiten mit hohem Wirkungsgrad, die mithilfe geeigneter technischer Instrumente und Methoden, +einschließlich Indikatoren und Benchmarks, bewertet werden; + + +b)einem unter Berücksichtigung der in Anhang XIII festgelegten Kriterien von der Kommission von Amts wegen oder +aufgrund einer qualifizierten Warnung des wissenschaftlichen Gremiums getroffenen Entscheidung zufolge verfügt es +über Fähigkeiten oder eine Wirkung, die denen gemäß Buchstabe a entsprechen. + + +(2) Bei einem KI-Modell mit allgemeinem Verwendungszweck wird angenommen, dass es über Fähigkeiten mit hohem +Wirkungsgrad gemäß Absatz 1 Buchstabe a verfügt, wenn die kumulierte Menge der für sein Training verwendeten +Berechnungen, gemessen in Gleitkommaoperationen, mehr als 10^25 beträgt. + + +(3) Die Kommission erlässt gemäß Artikel 97 delegierte Rechtsakte zur Änderung der in den Absätzen 1 und 2 des +vorliegenden Artikels aufgeführten Schwellenwerte sowie zur Ergänzung von Benchmarks und Indikatoren vor dem +Hintergrund sich wandelnder technologischer Entwicklungen, wie z. B. algorithmische Verbesserungen oder erhöhte +Hardwareeffizienz, wenn dies erforderlich ist, damit diese Schwellenwerte dem Stand der Technik entsprechen. + + +Artikel 52 + + +Verfahren + + +(1) Erfüllt ein KI-Modell mit allgemeinem Verwendungszweck die Bedingung gemäß Artikel 51 Absatz 1 Buchstabe a, so +teilt der betreffende Anbieter dies der Kommission unverzüglich, in jedem Fall jedoch innerhalb von zwei Wochen, +nachdem diese Bedingung erfüllt ist oder bekannt wird, dass sie erfüllt wird, mit. Diese Mitteilung muss die Informationen +enthalten, die erforderlich sind, um nachzuweisen, dass die betreffende Bedingung erfüllt ist. Erlangt die Kommission +Kenntnis von einem KI-Modell mit allgemeinem Verwendungszweck, das systemische Risiken birgt, die ihr nicht mitgeteilt +wurden, so kann sie entscheiden, es als Modell mit systemischen Risiken auszuweisen. + + +(2) Der Anbieter eines KI-Modells mit allgemeinem Verwendungszweck, das die in Artikel 51 Absatz 1 +Buchstabe a genannte Bedingung erfüllt, kann in seiner Mitteilung hinreichend begründete Argumente vorbringen, um +nachzuweisen, dass das KI-Modell mit allgemeinem Verwendungszweck, obwohl es diese Bedingung erfüllt, aufgrund seiner +besonderen Merkmale außerordentlicherweise keine systemischen Risiken birgt und daher nicht als KI-Modell mit +allgemeinem Verwendungszweck mit systemischem Risiko eingestuft werden sollte. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 83/ + + + +(3) Gelangt die Kommission zu dem Schluss, dass die gemäß Absatz 2 vorgebrachten Argumente nicht hinreichend +begründet sind, und konnte der betreffende Anbieter nicht nachweisen, dass das KI-Modell mit allgemeinem +Verwendungszweck aufgrund seiner besonderen Merkmale keine systemischen Risiken aufweist, weist sie diese Argumente +zurück, und das KI-Modell mit allgemeinem Verwendungszweck gilt als KI-Modell mit allgemeiner Zweckbestimmung mit +systemischem Risiko. + + +(4) Die Kommission kann ein KI-Modell mit allgemeinem Verwendungszweck von Amts wegen oder aufgrund einer +qualifizierten Warnung des wissenschaftlichen Gremiums gemäß Artikel 90 Absatz 1 Buchstabe a auf der Grundlage der in +Anhang XIII festgelegten Kriterien als KI-Modell mit systemischen Risiken ausweisen. + + +Die Kommission ist befugt, gemäß Artikel 97 delegierte Rechtsakte zu erlassen, um Anhang XIII zu ändern, indem die in +dem genannten Anhang genannten Indikatoren präzisiert und aktualisiert werden. + + +(5) Stellt der Anbieter, dessen Modell gemäß Absatz 4 als KI-Modell mit allgemeinem Verwendungszweck mit +systemischem Risiko ausgewiesen wurde, einen entsprechenden Antrag, berücksichtigt die Kommission den Antrag und +kann entscheiden, erneut zu prüfen, ob beim KI-Modell mit allgemeinem Verwendungszweck auf der Grundlage der in +Anhang XIII festgelegten Kriterien immer noch davon ausgegangen werden kann, dass es systemische Risiken aufweist. +Dieser Antrag muss objektive, detaillierte und neue Gründe enthalten, die sich seit der Entscheidung zur Ausweisung +ergeben haben. Die Anbieter können frühestens sechs Monate nach der Entscheidung zur Ausweisung eine Neubewertung +beantragen. Entscheidet die Kommission nach ihrer Neubewertung, die Ausweisung als KI-Modell mit allgemeiner +Zweckbestimmung mit systemischem Risiko beizubehalten, können die Anbieter frühestens sechs Monate nach dieser +Entscheidung eine Neubewertung beantragen. + + +(6) Die Kommission stellt sicher, dass eine Liste von KI-Modellen mit allgemeinem Verwendungszweck mit +systemischem Risiko veröffentlicht wird, und hält diese Liste unbeschadet der Notwendigkeit, Rechte des geistigen +Eigentums und vertrauliche Geschäftsinformationen oder Geschäftsgeheimnisse im Einklang mit dem Unionsrecht und dem +nationalen Recht zu achten und zu schützen, auf dem neuesten Stand. + + +ABSCHNITT 2 + + +Pflichten für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck + + +Artikel 53 + + +Pflichten für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck + + +(1) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck + + +a)erstellen und aktualisieren die technische Dokumentation des Modells, einschließlich seines Trainings- und +Testverfahrens und der Ergebnisse seiner Bewertung, die mindestens die in Anhang XI aufgeführten Informationen +enthält, damit sie dem Büro für Künstliche Intelligenz und den zuständigen nationalen Behörden auf Anfrage zur +Verfügung gestellt werden kann; + + +b)erstellen und aktualisieren Informationen und die Dokumentation und stellen sie Anbietern von KI-Systemen zur +Verfügung, die beabsichtigen, das KI-Modell mit allgemeinem Verwendungszweck in ihre KI-Systeme zu integrieren. +Unbeschadet der Notwendigkeit, die Rechte des geistigen Eigentums und vertrauliche Geschäftsinformationen oder +Geschäftsgeheimnisse im Einklang mit dem Unionsrecht und dem nationalen Recht zu achten und zu schützen, müssen +die Informationen und die Dokumentation + + +i)die Anbieter von KI-Systemen in die Lage versetzen, die Fähigkeiten und Grenzen des KI-Modells mit allgemeinem +Verwendungszweck gut zu verstehen und ihren Pflichten gemäß dieser Verordnung nachzukommen, und + + +ii)zumindest die in Anhang XII genannten Elemente enthalten; + + +c) bringen eine Strategie zur Einhaltung des Urheberrechts der Union und damit zusammenhängender Rechte und +insbesondere zur Ermittlung und Einhaltung eines gemäß Artikel 4 Absatz 3 der Richtlinie (EU) 2019/790 geltend +gemachten Rechtsvorbehalts, auch durch modernste Technologien, auf den Weg; + + +d)erstellen und veröffentlichen eine hinreichend detaillierte Zusammenfassung der für das Training des KI-Modells mit +allgemeinem Verwendungszweck verwendeten Inhalte nach einer vom Büro für Künstliche Intelligenz bereitgestellten +Vorlage. + +# DE ABl. L vom 12.7. + +84/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(2) Die Pflichten gemäß Absatz 1 Buchstaben a und b gelten nicht für Anbieter von KI-Modellen, die im Rahmen einer +freien und quelloffenen Lizenz bereitgestellt werden, die den Zugang, die Nutzung, die Änderung und die Verbreitung des +Modells ermöglicht und deren Parameter, einschließlich Gewichte, Informationen über die Modellarchitektur und +Informationen über die Modellnutzung, öffentlich zugänglich gemacht werden. Diese Ausnahme gilt nicht für KI-Modellen +mit allgemeinem Verwendungszweck mit systemischen Risiken. + + +(3) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck arbeiten bei der Ausübung ihrer Zuständigkeiten +und Befugnisse gemäß dieser Verordnung erforderlichenfalls mit der Kommission und den zuständigen nationalen +Behörden zusammen. + + +(4) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck können sich bis zur Veröffentlichung einer +harmonisierten Norm auf Praxisleitfäden im Sinne des Artikels 56 stützen, um die Einhaltung der in Absatz 1 des +vorliegenden Artikels genannten Pflichten nachzuweisen. Die Einhaltung der harmonisierten europäischen Norm begründet +für die Anbieter die Vermutung der Konformität, insoweit diese Normen diese Verpflichtungen abdecken. Anbieter von +KI-Modellen mit allgemeinem Verwendungszweck, die keinen genehmigten Praxisleitfaden befolgen oder eine harmonisierte +europäische Norm nicht einhalten, müssen geeignete alternative Verfahren der Einhaltung aufzeigen, die von der +Kommission zu bewerten sind. + + +(5) Um die Einhaltung von Anhang XI, insbesondere Nummer 2 Buchstaben d und e, zu erleichtern, ist die Kommission +befugt, gemäß Artikel 97 delegierte Rechtsakte zu erlassen, um die Mess- und Berechnungsmethoden im Einzelnen +festzulegen, damit eine vergleichbare und überprüfbare Dokumentation ermöglicht wird. + + +(6) Die Kommission ist befugt, gemäß Artikel 97 Absatz 2 delegierte Rechtsakte zu erlassen, um die Anhänge XI und XII +vor dem Hintergrund sich wandelnder technologischer Entwicklungen zu ändern. + + +(7) Jegliche Informationen oder Dokumentation, die gemäß diesem Artikel erlangt werden, einschließlich Geschäfts- +geheimnisse, werden im Einklang mit den in Artikel 78 festgelegten Vertraulichkeitspflichten behandelt. + + +Artikel 54 + + +Bevollmächtigte der Anbieter von KI-Modellen mit allgemeinem Verwendungszweck + + +(1) Anbieter, die in Drittländern niedergelassen sind, benennen vor dem Inverkehrbringen eines KI-Modells mit +allgemeinem Verwendungszweck auf dem Unionsmarkt schriftlich einen in der Union niedergelassenen Bevollmächtigten. + + +(2) Der Anbieter muss seinem Bevollmächtigten ermöglichen, die Aufgaben wahrzunehmen, die im vom Anbieter +erhaltenen Auftrag festgelegt sind. + + +(3) Der Bevollmächtigte nimmt die Aufgaben wahr, die in seinem vom Anbieter erhaltenen Auftrag festgelegt sind. Er +stellt dem Büro für Künstliche Intelligenz auf Anfrage eine Kopie des Auftrags in einer der Amtssprachen der Institutionen +der Union bereit. Für die Zwecke dieser Verordnung ermächtigt der Auftrag den Bevollmächtigten zumindest zur +Wahrnehmung folgender Aufgaben: + + +a)Überprüfung, ob die technische Dokumentation gemäß Anhang XI erstellt wurde und alle Pflichten gemäß Artikel 53 +und gegebenenfalls gemäß Artikel 55 vom Anbieter erfüllt wurden; + + +b)Bereithaltung einer Kopie der technischen Dokumentation gemäß Anhang XI für das Büro für Künstliche Intelligenz und +die zuständigen nationalen Behörden für einen Zeitraum von zehn Jahren nach dem Inverkehrbringen des KI-Modells +mit allgemeinem Verwendungszweck und der Kontaktdaten des Anbieters, der den Bevollmächtigten benannt hat; + + +c) Bereitstellung sämtlicher zum Nachweis der Einhaltung der Pflichten gemäß diesem Kapitel erforderlichen Informationen +und Dokumentation, einschließlich der unter Buchstabe b genannten Informationen und Dokumentation, an das Büro +für Künstliche Intelligenz auf begründeten Antrag; + + +d)Zusammenarbeit mit dem Büro für Künstliche Intelligenz und den zuständigen Behörden auf begründeten Antrag bei +allen Maßnahmen, die sie im Zusammenhang mit einem KI-Modell mit allgemeinem Verwendungszweck ergreifen, auch +wenn das Modell in KI-Systeme integriert ist, die in der Union in Verkehr gebracht oder in Betrieb genommen werden. + + +(4) Mit dem Auftrag wird der Bevollmächtigte ermächtigt, neben oder anstelle des Anbieters als Ansprechpartner für das +Büro für Künstliche Intelligenz oder die zuständigen Behörden in allen Fragen zu dienen, die die Gewährleistung der +Einhaltung dieser Verordnung betreffen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 85/ + + + +(5) Der Bevollmächtigte beendet den Auftrag, wenn er der Auffassung ist oder Grund zu der Annahme hat, dass der +Anbieter gegen seine Pflichten gemäß dieser Verordnung verstößt. In einem solchen Fall informiert er auch das Büro für +Künstliche Intelligenz unverzüglich über die Beendigung des Auftrags und die Gründe dafür. + + +(6) Die Pflicht gemäß diesem Artikel gilt nicht für Anbieter von KI-Modellen, die im Rahmen einer freien und +quelloffenen Lizenz bereitgestellt werden, die den Zugang, die Nutzung, die Änderung und die Verbreitung des Modells +ermöglicht und deren Parameter, einschließlich Gewichte, Informationen über die Modellarchitektur und Informationen +über die Modellnutzung, öffentlich zugänglich gemacht werden, es sei denn, die KI-Modelle mit allgemeinem +Verwendungszweck bergen systemische Risiken. + + +ABSCHNITT 3 +Pflichten der Anbieter von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko + + +Artikel 55 + + +Pflichten der Anbieter von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko + + +(1) Zusätzlich zu den in den Artikeln 53 und 54 aufgeführten Pflichten müssen Anbieter von KI-Modellen mit +allgemeinem Verwendungszweck mit systemischem Risiko + + +a)eine Modellbewertung mit standardisierten Protokollen und Instrumenten, die dem Stand der Technik entsprechen, +durchführen, wozu auch die Durchführung und Dokumentation von Angriffstests beim Modell gehören, um systemische +Risiken zu ermitteln und zu mindern, + + +b)mögliche systemische Risiken auf Unionsebene — einschließlich ihrer Ursachen —, die sich aus der Entwicklung, dem +Inverkehrbringen oder der Verwendung von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko +ergeben können, bewerten und mindern, + + +c) einschlägige Informationen über schwerwiegende Vorfälle und mögliche Abhilfemaßnahmen erfassen und doku- +mentieren und das Büro für Künstliche Intelligenz und gegebenenfalls die zuständigen nationalen Behörden unverzüglich +darüber unterrichten, + + +d)ein angemessenes Maß an Cybersicherheit für die KI-Modelle mit allgemeinem Verwendungszweck mit systemischem +Risiko und die physische Infrastruktur des Modells gewährleisten. + + +(2) Anbieter von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko können sich bis zur +Veröffentlichung einer harmonisierten Norm auf Praxisleitfäden im Sinne des Artikels 56 stützen, um die Einhaltung der in +Absatz 1 des vorliegenden Artikels genannten Pflichten nachzuweisen. Die Einhaltung der harmonisierten europäischen +Norm begründet für die Anbieter die Vermutung der Konformität, insoweit diese Normen diese Verpflichtungen abdecken. +Anbieter von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko, die einen genehmigten +Praxisleitfaden nicht befolgen oder eine harmonisierte europäische Norm nicht einhalten, müssen geeignete alternative +Verfahren der Einhaltung aufzeigen, die von der Kommission zu bewerten sind. + + +(3) Jegliche Informationen oder Dokumentation, die gemäß diesem Artikel erlangt werden, werden im Einklang mit den +in Artikel 78 festgelegten Vertraulichkeitspflichten behandelt. + + +ABSCHNITT 4 + + +Praxisleitfäden + + +Artikel 56 + + +Praxisleitfäden + + +(1) Das Büro für Künstliche Intelligenz fördert und erleichtert die Ausarbeitung von Praxisleitfäden auf Unionsebene, um +unter Berücksichtigung internationaler Ansätze zur ordnungsgemäßen Anwendung dieser Verordnung beizutragen. + + +(2) Das Büro für Künstliche Intelligenz und das KI-Gremium streben an, sicherzustellen, dass die Praxisleitfäden +mindestens die in den Artikeln 53 und 55 vorgesehenen Pflichten abdecken, einschließlich der folgenden Aspekte: + +# DE ABl. L vom 12.7. + +86/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +a)Mittel, mit denen sichergestellt wird, dass die in Artikel 53 Absatz 1 Buchstaben a und b genannten Informationen vor +dem Hintergrund der Marktentwicklungen und technologischen Entwicklungen auf dem neuesten Stand gehalten +werden; + + +b)die angemessene Detailgenauigkeit bei der Zusammenfassung der für das Training verwendeten Inhalte; + + +c) die Ermittlung von Art und Wesen der systemischen Risiken auf Unionsebene, gegebenenfalls einschließlich ihrer +Ursachen; + + +d)die Maßnahmen, Verfahren und Modalitäten für die Bewertung und das Management der systemischen Risiken auf +Unionsebene, einschließlich ihrer Dokumentation, die in einem angemessenen Verhältnis zu den Risiken stehen, ihrer +Schwere und Wahrscheinlichkeit Rechnung tragen und die spezifischen Herausforderungen bei der Bewältigung dieser +Risiken vor dem Hintergrund der möglichen Arten der Entstehung und des Eintretens solcher Risiken entlang der +KI-Wertschöpfungskette berücksichtigen. + + +(3) Das Büro für Künstliche Intelligenz kann alle Anbieter von KI-Modellen mit allgemeinem Verwendungszweck sowie +die einschlägigen zuständigen nationalen Behörden ersuchen, sich an der Ausarbeitung von Praxisleitfäden zu beteiligen. +Organisationen der Zivilgesellschaft, die Industrie, die Wissenschaft und andere einschlägige Interessenträger wie +nachgelagerte Anbieter und unabhängige Sachverständige können den Prozess unterstützen. + + +(4) Das Büro für Künstliche Intelligenz und das KI-Gremium streben an, sicherzustellen, dass in den Praxisleitfäden ihre +spezifischen Ziele eindeutig festgelegt sind und Verpflichtungen oder Maßnahmen, gegebenenfalls einschließlich +wesentlicher Leistungsindikatoren, enthalten, um die Verwirklichung dieser Ziele gewährleisten, und dass sie den +Bedürfnissen und Interessen aller interessierten Kreise, einschließlich betroffener Personen, auf Unionsebene gebührend +Rechnung tragen. + + +(5) Das Büro für Künstliche Intelligenz strebt an, sicherzustellen, dass die an Praxisleitfäden Beteiligten dem Büro für +Künstliche Intelligenz regelmäßig über die Umsetzung der Verpflichtungen, die ergriffenen Maßnahmen und deren +Ergebnisse, die gegebenenfalls auch anhand der wesentlichen Leistungsindikatoren gemessen werden, Bericht erstatten. Bei +den wesentlichen Leistungsindikatoren und den Berichtspflichten wird den Größen- und Kapazitätsunterschieden zwischen +den verschiedenen Beteiligten Rechnung getragen. + + +(6) Das Büro für Künstliche Intelligenz und KI-Gremium überwachen und bewerten regelmäßig die Verwirklichung der +Ziele der Praxisleitfäden durch die Beteiligten und deren Beitrag zur ordnungsgemäßen Anwendung dieser Verordnung. Das +Büro für Künstliche Intelligenz und das KI-Gremium bewerten, ob die Praxisleitfäden die in den Artikeln 53 und 55 +vorgesehenen Pflichten abdecken, und überwachen und bewerten regelmäßig die Verwirklichung von deren Zielen. Sie +veröffentlichen ihre Bewertung der Angemessenheit der Praxisleitfäden. + + +Die Kommission kann im Wege eines Durchführungsrechtsakts einen Praxisleitfaden genehmigen und ihm in der Union +allgemeine Gültigkeit verleihen. Dieser Durchführungsrechtsakt wird gemäß dem in Artikel 98 Absatz 2 genannten +Prüfverfahren erlassen. + + +(7) Das Büro für Künstliche Intelligenz kann alle Anbieter von KI-Modellen mit allgemeinem Verwendungszweck +ersuchen, die Praxisleitfäden zu befolgen. Für Anbieter von KI-Modellen mit allgemeinem Verwendungszweck, die keine +systemischen Risiken bergen, kann diese Befolgung auf die in Artikel 53 vorgesehenen Pflichten beschränkt werden, es sei +denn, sie erklären ausdrücklich ihr Interesse, sich dem ganzen Kodex anzuschließen. + + +(8) Das Büro für Künstliche Intelligenz fördert und erleichtert gegebenenfalls auch die Überprüfung und Anpassung der +Praxisleitfäden, insbesondere vor dem Hintergrund neuer Normen. Das Büro für Künstliche Intelligenz unterstützt bei der +Bewertung der verfügbaren Normen. + + +(9) Praxisleitfäden müssen spätestens am 2. Mai 2025 vorliegen. Das Büro für Künstliche Intelligenz unternimmt die +erforderlichen Schritte, einschließlich des Ersuchens von Anbietern gemäß Absatz 7. + + +Kann bis zum 2. August 2025 ein Verhaltenskodex nicht fertiggestellt werden oder erachtet das Büro für Künstliche +Intelligenz dies nach seiner Bewertung gemäß Absatz 6 des vorliegenden Artikels für nicht angemessen, kann die +Kommission im Wege von Durchführungsrechtsakten gemeinsame Vorschriften für die Umsetzung der in den Artikeln 53 +und 55 vorgesehenen Pflichten, einschließlich der in Absatz 2 des vorliegenden Artikels genannten Aspekte, festlegen. Diese +Durchführungsrechtsakte werden gemäß dem in Artikel 98 Absatz 2 genannten Prüfverfahren erlassen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 87/ + + diff --git a/addons/godot_llama/demo/documents/7.md b/addons/godot_llama/demo/documents/7.md new file mode 100644 index 0000000..c39c87a --- /dev/null +++ b/addons/godot_llama/demo/documents/7.md @@ -0,0 +1,612 @@ + +KAPITEL VI +MASSNAHMEN ZUR INNOVATIONSFÖRDERUNG + + +Artikel 57 + + +KI-Reallabore + + +(1) Die Mitgliedstaaten sorgen dafür, dass ihre zuständigen Behörden mindestens ein KI-Reallabor auf nationaler Ebene +einrichten, das bis zum 2. August 2026 einsatzbereit sein muss. Dieses Reallabor kann auch gemeinsam mit den +zuständigen Behörden anderer Mitgliedstaaten eingerichtet werden. Die Kommission kann technische Unterstützung, +Beratung und Instrumente für die Einrichtung und den Betrieb von KI-Reallaboren bereitstellen. + + +Die Verpflichtung nach Unterabsatz 1 kann auch durch Beteiligung an einem bestehenden Reallabor erfüllt werden, sofern +eine solche Beteiligung die nationale Abdeckung der teilnehmenden Mitgliedstaaten in gleichwertigem Maße gewährleistet. + + +(2) Es können auch zusätzliche KI-Reallabore auf regionaler oder lokaler Ebene oder gemeinsam mit den zuständigen +Behörden anderer Mitgliedstaaten eingerichtet werden; + + +(3) Der Europäische Datenschutzbeauftragte kann auch ein KI-Reallabor für Organe, Einrichtungen und sonstige Stellen +der Union einrichten und die Rollen und Aufgaben der zuständigen nationalen Behörden im Einklang mit diesem Kapitel +wahrnehmen. + + +(4) Die Mitgliedstaaten stellen sicher, dass die in den Absätzen 1 und 2 genannten zuständigen Behörden ausreichende +Mittel bereitstellen, um diesem Artikel wirksam und zeitnah nachzukommen. Gegebenenfalls arbeiten die zuständigen +nationalen Behörden mit anderen einschlägigen Behörden zusammen und können die Einbeziehung anderer Akteure des +KI-Ökosystems gestatten. Andere Reallabore, die im Rahmen des Unionsrechts oder des nationalen Rechts eingerichtet +wurden, bleiben von diesem Artikel unberührt. Die Mitgliedstaaten sorgen dafür, dass die diese anderen Reallabore +beaufsichtigenden Behörden und die zuständigen nationalen Behörden angemessen zusammenarbeiten. + + +(5) Die nach Absatz 1 eingerichteten KI-Reallabore bieten eine kontrollierte Umgebung, um Innovation zu fördern und +die Entwicklung, das Training, das Testen und die Validierung innovativer KI-Systeme für einen begrenzten Zeitraum vor +ihrem Inverkehrbringen oder ihrer Inbetriebnahme nach einem bestimmten zwischen den Anbietern oder zukünftigen +Anbietern und der zuständigen Behörde vereinbarten Reallabor-Plan zu erleichtern. In diesen Reallaboren können auch +darin beaufsichtigte Tests unter Realbedingungen durchgeführt werden. + + +(6) Die zuständigen Behörden stellen innerhalb der KI-Reallabore gegebenenfalls Anleitung, Aufsicht und Unterstützung +bereit, um Risiken, insbesondere im Hinblick auf Grundrechte, Gesundheit und Sicherheit, Tests und Risikominderungs- +maßnahmen sowie deren Wirksamkeit hinsichtlich der Pflichten und Anforderungen dieser Verordnung und gegebenenfalls +anderem Unionsrecht und nationalem Recht, deren Einhaltung innerhalb des Reallabors beaufsichtigt wird, zu ermitteln. + + +(7) Die zuständigen Behörden stellen den Anbietern und zukünftigen Anbietern, die am KI-Reallabor teilnehmen, +Leitfäden zu regulatorischen Erwartungen und zur Erfüllung der in dieser Verordnung festgelegten Anforderungen und +Pflichten zur Verfügung. + + +Die zuständige Behörde legt dem Anbieter oder zukünftigen Anbieter des KI-Systems auf dessen Anfrage einen schriftlichen +Nachweis für die im Reallabor erfolgreich durchgeführten Tätigkeiten vor. Außerdem legt die zuständige Behörde einen +Abschlussbericht vor, in dem sie die im Reallabor durchgeführten Tätigkeiten, deren Ergebnisse und die gewonnenen +Erkenntnisse im Einzelnen darlegt. Die Anbieter können diese Unterlagen nutzen, um im Rahmen des Konformitäts- +bewertungsverfahrens oder einschlägiger Marktüberwachungstätigkeiten nachzuweisen, dass sie dieser Verordnung +nachkommen. In diesem Zusammenhang werden die Abschlussberichte und die von der zuständigen nationalen Behörde +vorgelegten schriftlichen Nachweise von den Marktüberwachungsbehörden und den notifizierten Stellen im Hinblick auf +eine Beschleunigung der Konformitätsbewertungsverfahren in angemessenem Maße positiv gewertet. + + +(8) Vorbehaltlich der in Artikel 78 enthaltenen Bestimmungen über die Vertraulichkeit und im Einvernehmen mit den +Anbietern oder zukünftigen Anbietern, sind die Kommission und das KI-Gremium befugt, die Abschlussberichte +einzusehen und tragen diesen gegebenenfalls bei der Wahrnehmung ihrer Aufgaben gemäß dieser Verordnung Rechnung. +Wenn der Anbieter oder der zukünftige Anbieter und die zuständige nationale Behörde ihr ausdrückliches Einverständnis +erklären, kann der Abschlussbericht über die in diesem Artikel genannte zentrale Informationsplattform veröffentlicht +werden. + + +(9) Die Einrichtung von KI-Reallaboren soll zu den folgenden Zielen beitragen: + + +a)Verbesserung der Rechtssicherheit, um für die Einhaltung der Regulierungsvorschriften dieser Verordnung oder, +gegebenenfalls, anderem geltenden Unionsrecht und nationalem Recht zu sorgen; + +# DE ABl. L vom 12.7. + +88/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +b)Förderung des Austauschs bewährter Verfahren durch Zusammenarbeit mit den am KI-Reallabor beteiligten Behörden; + + +c) Förderung von Innovation und Wettbewerbsfähigkeit sowie Erleichterung der Entwicklung eines KI-Ökosystems; + + +d)Leisten eines Beitrags zum evidenzbasierten regulatorischen Lernen; + + +e) Erleichterung und Beschleunigung des Zugangs von KI-Systemen zum Unionsmarkt, insbesondere wenn sie von KMU — +einschließlich Start-up-Unternehmen — angeboten werden. + + +(10) Soweit die innovativen KI-Systeme personenbezogene Daten verarbeiten oder anderweitig der Aufsicht anderer +nationaler Behörden oder zuständiger Behörden unterstehen, die den Zugang zu personenbezogenen Daten gewähren oder +unterstützen, sorgen die zuständigen nationalen Behörden dafür, dass die nationalen Datenschutzbehörden oder diese +anderen nationalen oder zuständigen Behörden in den Betrieb des KI-Reallabors sowie in die Überwachung dieser Aspekte +im vollen Umfang ihrer entsprechenden Aufgaben und Befugnisse einbezogen werden. + + +(11) Die KI-Reallabore lassen die Aufsichts- oder Abhilfebefugnisse der die Reallabore beaufsichtigenden zuständigen +Behörden, einschließlich auf regionaler oder lokaler Ebene, unberührt. Alle erheblichen Risiken für die Gesundheit und +Sicherheit und die Grundrechte, die bei der Entwicklung und Erprobung solcher KI-Systeme festgestellt werden, führen zur +sofortigen und angemessenen Risikominderung. Die zuständigen nationalen Behörden sind befugt, das Testverfahren oder +die Beteiligung am Reallabor vorübergehend oder dauerhaft auszusetzen, wenn keine wirksame Risikominderung möglich +ist, und unterrichten das Büro für Künstliche Intelligenz über diese Entscheidung. Um Innovationen im Bereich KI in der +Union zu fördern, üben die zuständigen nationalen Behörden ihre Aufsichtsbefugnisse im Rahmen des geltenden Rechts +aus, indem sie bei der Anwendung der Rechtsvorschriften auf ein bestimmtes KI-Reallabor ihren Ermessensspielraum +nutzen. + + +(12) Die am KI-Reallabor beteiligten Anbieter und zukünftigen Anbieter bleiben nach geltendem Recht der Union und +nationalem Haftungsrecht für Schäden haftbar, die Dritten infolge der Erprobung im Reallabor entstehen. Sofern die +zukünftigen Anbieter den spezifischen Plan und die Bedingungen für ihre Beteiligung beachten und der Anleitung durch die +zuständigen nationalen Behörden in gutem Glauben folgen, werden jedoch von den Behörden keine Geldbußen für Verstöße +gegen diese Verordnung verhängt. In Fällen, in denen andere zuständige Behörden, die für anderes Unionsrecht und +nationales Recht zuständig sind, aktiv an der Beaufsichtigung des KI-Systems im Reallabor beteiligt waren und Anleitung für +die Einhaltung gegeben haben, werden im Hinblick auf dieses Recht keine Geldbußen verhängt. + + +(13) Die KI-Reallabore sind so konzipiert und werden so umgesetzt, dass sie gegebenenfalls die grenzüberschreitende +Zusammenarbeit zwischen zuständigen nationalen Behörden erleichtern. + + +(14) Die zuständigen nationalen Behörden koordinieren ihre Tätigkeiten und arbeiten im Rahmen des KI-Gremiums +zusammen. + + +(15) Die zuständigen nationalen Behörden unterrichten das Büro für Künstliche Intelligenz und das KI-Gremium über +die Einrichtung eines Reallabors und können sie um Unterstützung und Anleitung bitten. Das Büro für Künstliche +Intelligenz veröffentlicht eine Liste der geplanten und bestehenden Reallabore und hält sie auf dem neuesten Stand, um eine +stärkere Interaktion in den KI-Reallaboren und die grenzüberschreitende Zusammenarbeit zu fördern. + + +(16) Die zuständigen nationalen Behörden übermitteln dem Büro für Künstliche Intelligenz und dem KI-Gremium +jährliche Berichte, und zwar ab einem Jahr nach der Einrichtung des Reallabors und dann jedes Jahr bis zu dessen +Beendigung, sowie einen Abschlussbericht. Diese Berichte informieren über den Fortschritt und die Ergebnisse der +Umsetzung dieser Reallabore, einschließlich bewährter Verfahren, Vorfällen, gewonnener Erkenntnisse und Empfehlungen +zu deren Aufbau, sowie gegebenenfalls über die Anwendung und mögliche Überarbeitung dieser Verordnung, einschließlich +ihrer delegierten Rechtsakte und Durchführungsrechtsakte, sowie über die Anwendung anderen Unionsrechts, deren +Einhaltung von den zuständigen Behörden innerhalb des Reallabors beaufsichtigt wird. Die zuständigen nationalen +Behörden stellen diese jährlichen Berichte oder Zusammenfassungen davon der Öffentlichkeit online zur Verfügung. Die +Kommission trägt den jährlichen Berichten gegebenenfalls bei der Wahrnehmung ihrer Aufgaben gemäß dieser Verordnung +Rechnung. + + +(17) Die Kommission richtet eine eigene Schnittstelle ein, die alle relevanten Informationen zu den KI-Reallaboren +enthält, um es den Interessenträgern zu ermöglichen, mit den KI-Reallaboren zu interagieren und Anfragen an die +zuständigen Behörden zu richten und unverbindliche Beratung zur Konformität von innovativen Produkten, Dienst- +leistungen und Geschäftsmodellen mit integrierter KI-Technologie im Einklang mit Artikel 62 Absatz 1 Buchstabe c +einzuholen. Die Kommission stimmt sich gegebenenfalls proaktiv mit den zuständigen nationalen Behörden ab. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 89/ + + + +Artikel 58 + + +Detaillierte Regelungen für KI-Reallabore und deren Funktionsweise + + +(1) Um eine Zersplitterung in der Union zu vermeiden, erlässt die Kommission Durchführungsrechtsakte, in denen +detaillierte Regelungen für die Einrichtung, Entwicklung, Umsetzung, den Betrieb und die Beaufsichtigung der KI-Reallabore +enthalten sind. In den Durchführungsrechtsakten sind gemeinsame Grundsätze zu den folgenden Aspekten festgelegt: + + +a)Voraussetzungen und Auswahlkriterien für eine Beteiligung am KI-Reallabor; + + +b)Verfahren für Antragstellung, Beteiligung, Überwachung, Ausstieg und Beendigung bezüglich des KI-Reallabors, +einschließlich Plan und Abschlussbericht für das Reallabor; + + +c) für Beteiligte geltende Anforderungen und Bedingungen. + + +Diese Durchführungsrechtsakte werden gemäß dem in Artikel 98 Absatz 2 genannten Prüfverfahren erlassen. + + +(2) Die in Absatz 1 genannten Durchführungsrechtsakte gewährleisten, + + +a)dass KI-Reallabore allen Anbietern oder zukünftigen Anbietern eines KI-Systems, die einen Antrag stellen und die +Voraussetzungen und Auswahlkriterien erfüllen, offen stehen; diese Voraussetzungen und Kriterien sind transparent und +fair und die zuständigen nationalen Behörden informieren die Antragsteller innerhalb von drei Monaten nach +Antragstellung über ihre Entscheidung; + + +b)dass die KI-Reallabore einen breiten und gleichberechtigten Zugang ermöglichen und mit der Nachfrage nach Beteiligung +Schritt halten; die Anbieter und zukünftigen Anbieter auch Anträge zusammen mit Betreibern oder einschlägigen +Dritten, die ihre Partner sind, stellen können; + + +c) dass die detaillierten Regelungen und Bedingungen für KI-Reallabore so gut wie möglich die Flexibilität der zuständigen +nationalen Behörden bei der Einrichtung und dem Betrieb ihrer KI-Reallabore unterstützen; + + +d)dass der Zugang zu KI-Reallaboren für KMU, einschließlich Start-up-Unternehmen, kostenlos ist, unbeschadet +außergewöhnlicher Kosten, die die zuständigen nationalen Behörden in einer fairen und verhältnismäßigen Weise +einfordern können; + + +e) dass den Anbietern und zukünftigen Anbietern die Einhaltung der Verpflichtungen zur Konformitätsbewertung nach +dieser Verordnung oder die freiwillige Anwendung der in Artikel 95 genannten Verhaltenskodizes mittels der +gewonnenen Erkenntnisse der KI-Reallabore erleichtert wird; + + +f) dass KI-Reallabore die Einbeziehung anderer einschlägiger Akteure innerhalb des KI-Ökosystems, wie etwa notifizierte +Stellen und Normungsorganisationen, KMU, einschließlich Start-up-Unternehmen, Unternehmen, Innovatoren, Test- +und Versuchseinrichtungen, Forschungs- und Versuchslabore, europäische digitale Innovationszentren, Kompetenzzen- +tren und einzelne Forscher begünstigen, um die Zusammenarbeit mit dem öffentlichen und dem privaten Sektor zu +ermöglichen und zu erleichtern; + + +g)dass die Verfahren, Prozesse und administrativen Anforderungen für die Antragstellung, die Auswahl, die Beteiligung +und den Ausstieg aus dem KI-Reallabor einfach, leicht verständlich und klar kommuniziert sind, um die Beteiligung von +KMU, einschließlich Start-up-Unternehmen, mit begrenzten rechtlichen und administrativen Kapazitäten zu erleichtern, +sowie unionsweit gestrafft sind, um eine Zersplitterung zu vermeiden, und dass die Beteiligung an einem von einem +Mitgliedstaat oder dem Europäischen Datenschutzbeauftragten eingerichteten KI-Reallabor gegenseitig und einheitlich +anerkannt wird und in der gesamten Union die gleiche Rechtswirkung hat; + + +h)dass die Beteiligung an dem KI-Reallabor auf einen der Komplexität und dem Umfang des Projekts entsprechenden +Zeitraum beschränkt ist, der von der zuständigen nationalen Behörde verlängert werden kann; + + +i) dass die KI-Reallabore die Entwicklung von Instrumenten und Infrastruktur für das Testen, das Benchmarking, die +Bewertung und die Erklärung der Dimensionen von KI-Systemen erleichtern, die für das regulatorische Lernen +Bedeutung sind, wie etwa Genauigkeit, Robustheit und Cybersicherheit, sowie Maßnahmen zur Risikominderung im +Hinblick auf die Grundrechte und die Gesellschaft als Ganzes fördern. + + +(3) Zukünftige Anbieter in den KI-Reallaboren, insbesondere KMU und Start-up-Unternehmen, werden gegebenenfalls +vor der Einrichtung an Dienste verwiesen, die beispielsweise eine Anleitung zur Umsetzung dieser Verordnung oder andere +Mehrwertdienste wie Hilfe bei Normungsdokumenten bereitstellen, sowie an Zertifizierungs-, Test- und Versuchsein- +richtungen, europäische digitale Innovationszentren und Exzellenzzentren. + +# DE ABl. L vom 12.7. + +90/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +(4) Wenn zuständige nationale Behörden in Betracht ziehen, Tests unter Realbedingungen zu genehmigen, die im +Rahmen eines KI-Reallabors beaufsichtigt werden, welches nach diesem Artikel einzurichten ist, vereinbaren sie mit den +Beteiligten ausdrücklich die Anforderungen und Bedingungen für diese Tests und insbesondere geeignete Schutzvor- +kehrungen für Grundrechte, Gesundheit und Sicherheit. Gegebenenfalls arbeiten sie mit anderen zuständigen nationalen +Behörden zusammen, um für unionsweit einheitliche Verfahren zu sorgen. + + +Artikel 59 + + +Weiterverarbeitung personenbezogener Daten zur Entwicklung bestimmter KI-Systeme im öffentlichen Interesse +im KI-Reallabor + + +(1) Rechtmäßig für andere Zwecke erhobene personenbezogene Daten dürfen im KI-Reallabor ausschließlich für die +Zwecke der Entwicklung, des Trainings und des Testens bestimmter KI-Systeme im Reallabor verarbeitet werden, wenn alle +der folgenden Bedingungen erfüllt sind: + + +a)Die KI-Systeme werden zur Wahrung eines erheblichen öffentlichen Interesses durch eine Behörde oder eine andere +natürliche oder juristische Person und in einem oder mehreren der folgenden Bereiche entwickelt: + + +i)öffentliche Sicherheit und öffentliche Gesundheit, einschließlich Erkennung, Diagnose, Verhütung, Bekämpfung und +Behandlung von Krankheiten sowie Verbesserung von Gesundheitsversorgungssystemen; + + +ii)hohes Umweltschutzniveau und Verbesserung der Umweltqualität, Schutz der biologischen Vielfalt, Schutz gegen +Umweltverschmutzung, Maßnahmen für den grünen Wandel sowie Klimaschutz und Anpassung an den +Klimawandel; + + +iii)nachhaltige Energie; + + +iv)Sicherheit und Widerstandsfähigkeit von Verkehrssystemen und Mobilität, kritischen Infrastrukturen und Netzen; + + +v)Effizienz und Qualität der öffentlichen Verwaltung und öffentlicher Dienste; + + +b)die verarbeiteten Daten sind für die Erfüllung einer oder mehrerer der in Kapitel III Abschnitt 2 genannten +Anforderungen erforderlich, sofern diese Anforderungen durch die Verarbeitung anonymisierter, synthetischer oder +sonstiger nicht personenbezogener Daten nicht wirksam erfüllt werden können; + + +c) es bestehen wirksame Überwachungsmechanismen, mit deren Hilfe festgestellt wird, ob während der Reallaborversuche +hohe Risiken für die Rechte und Freiheiten betroffener Personen gemäß Artikel 35 der Verordnung (EU) 2016/679 und +gemäß Artikel 39 der Verordnung (EU) 2018/1725 auftreten können, sowie Reaktionsmechanismen, mit deren Hilfe +diese Risiken umgehend eingedämmt werden können und die Verarbeitung bei Bedarf beendet werden kann; + + +d)personenbezogene Daten, die im Rahmen des Reallabors verarbeitet werden sollen, befinden sich in einer funktional +getrennten, isolierten und geschützten Datenverarbeitungsumgebung unter der Kontrolle des zukünftigen Anbieters, und +nur befugte Personen haben Zugriff auf diese Daten; + + +e) Anbieter dürfen die ursprünglich erhobenen Daten nur im Einklang mit dem Datenschutzrecht der Union weitergeben; +personenbezogene Daten, die im Reallabor erstellt wurden, dürfen nicht außerhalb des Reallabors weitergegeben werden; + + +f) eine Verarbeitung personenbezogener Daten im Rahmen des Reallabors führt zu keinen Maßnahmen oder +Entscheidungen, die Auswirkungen auf die betroffenen Personen haben, und berührt nicht die Anwendung ihrer +Rechte, die in den Rechtsvorschriften der Union über den Schutz personenbezogener Daten festgelegt sind; + + +g)im Rahmen des Reallabors verarbeitete personenbezogene Daten sind durch geeignete technische und organisatorische +Maßnahmen geschützt und werden gelöscht, sobald die Beteiligung an dem Reallabor endet oder das Ende der +Speicherfrist für die personenbezogenen Daten erreicht ist; + + +h)die Protokolle der Verarbeitung personenbezogener Daten im Rahmen des Reallabors werden für die Dauer der +Beteiligung am Reallabor aufbewahrt, es sei denn, im Unionsrecht oder nationalen Recht ist etwas anderes bestimmt; + + +i) eine vollständige und detaillierte Beschreibung des Prozesses und der Gründe für das Trainieren, Testen und Validieren +des KI-Systems wird zusammen mit den Testergebnissen als Teil der technischen Dokumentation gemäß Anhang IV +aufbewahrt; + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 91/ + + + +j) eine kurze Zusammenfassung des im Reallabor entwickelten KI-Projekts, seiner Ziele und der erwarteten Ergebnisse wird +auf der Website der zuständigen Behörden veröffentlicht; diese Pflicht erstreckt sich nicht auf sensible operative Daten zu +den Tätigkeiten von Strafverfolgungs-, Grenzschutz-, Einwanderungs- oder Asylbehörden. + + +(2) Für die Zwecke der Verhütung, Ermittlung, Aufdeckung oder Verfolgung von Straftaten oder der Strafvollstrek- +kung — einschließlich des Schutzes vor und der Abwehr von Gefahren für die öffentliche Sicherheit — unter der Kontrolle +und Verantwortung der Strafverfolgungsbehörden erfolgt die Verarbeitung personenbezogener Daten in KI-Reallaboren auf +der Grundlage eines spezifischen Unionsrechts oder nationalen Rechts und unterliegt den kumulativen Bedingungen des +Absatzes 1. + + +(3) Das Unionsrecht oder nationale Recht, das die Verarbeitung personenbezogener Daten für andere Zwecke als die +ausdrücklich in jenem Recht genannten ausschließt, sowie Unionsrecht oder nationales Recht, in dem die Grundlagen für +eine für die Zwecke der Entwicklung, des Testens oder des Trainings innovativer KI-Systeme notwendige Verarbeitung +personenbezogener Daten festgelegt sind, oder jegliche anderen dem Unionsrecht zum Schutz personenbezogener Daten +entsprechenden Rechtsgrundlagen bleiben von Absatz 1 unberührt. + + +Artikel 60 + + +Tests von Hochrisiko-KI-Systemen unter Realbedingungen außerhalb von KI-Reallaboren + + +(1) Tests von Hochrisiko-KI-Systemen unter Realbedingungen können von Anbietern oder zukünftigen Anbietern von in +Anhang III aufgeführten Hochrisiko-KI-Systemen außerhalb von KI-Reallaboren gemäß diesem Artikel und — unbeschadet +der Bestimmungen unter Artikel 5 — dem in diesem Artikel genannten Plan für einen Test unter Realbedingungen +durchgeführt werden. + + +Die Kommission legt die einzelnen Elemente des Plans für einen Test unter Realbedingungen im Wege von +Durchführungsrechtsakten fest. Diese Durchführungsrechtsakte werden gemäß dem in Artikel 98 Absatz 2 genannten +Prüfverfahren erlassen. + + +Das Unionsrecht oder nationale Recht für das Testen von Hochrisiko-KI-Systemen unter Realbedingungen im +Zusammenhang mit Produkten, die unter die in Anhang I aufgeführten Harmonisierungsrechtsvorschriften der Union +fallen, bleibt von dieser Bestimmung unberührt. + + +(2) Anbieter oder zukünftige Anbieter können in Anhang III genannte Hochrisiko-KI-Systeme vor deren +Inverkehrbringen oder Inbetriebnahme jederzeit selbst oder in Partnerschaft mit einem oder mehreren Betreibern oder +zukünftigen Betreibern unter Realbedingungen testen. + + +(3) Tests von KI-Systemen unter Realbedingungen gemäß diesem Artikel lassen nach dem Unionsrecht oder dem +nationalen Recht gegebenenfalls vorgeschriebene Ethikprüfungen unberührt. + + +(4) Tests unter Realbedingungen dürfen von Anbietern oder zukünftigen Anbietern nur durchgeführt werden, wenn alle +der folgenden Bedingungen erfüllt sind: + + +a)Der Anbieter oder der zukünftige Anbieter hat einen Plan für einen Test unter Realbedingungen erstellt und diesen bei +der Marktüberwachungsbehörde in dem Mitgliedstaat eingereicht, in dem der Test unter Realbedingungen stattfinden +soll; + + +b)die Marktüberwachungsbehörde in dem Mitgliedstaat, in dem der Test unter Realbedingungen stattfinden soll, hat den +Test unter Realbedingungen und den Plan für einen Test unter Realbedingungen genehmigt; hat die Marktüber- +wachungsbehörde innerhalb von 30 Tagen keine Antwort gegeben, so gelten der Test unter Realbedingungen und der +Plan für einen Test unter Realbedingungen als genehmigt; ist im nationalen Recht keine stillschweigende Genehmigung +vorgesehen, so bleibt der Test unter Realbedingungen genehmigungspflichtig; + + +c) der Anbieter oder zukünftige Anbieter, mit Ausnahme der in Anhang III Nummern 1, 6 und 7 genannten Anbieter oder +zukünftigen Anbieter von Hochrisiko-KI-Systemen in den Bereichen Strafverfolgung, Migration, Asyl und Grenzkon- +trolle und der in Anhang III Nummer 2 genannten Hochrisiko-KI-Systeme, hat den Test unter Realbedingungen unter +Angabe einer unionsweit einmaligen Identifizierungsnummer und der in Anhang IX festgelegten Informationen gemäß +Artikel 71 Absatz 4 registriert; der Anbieter oder zukünftige Anbieter von Hochrisiko-KI-Systemen gemäß Anhang III +Nummern 1, 6 und 7 in den Bereichen Strafverfolgung, Migration, Asyl und Grenzkontrollmanagement hat die Tests +unter Realbedingungen im sicheren nicht öffentlichen Teil der EU-Datenbank gemäß Artikel 49 Absatz 4 Buchstabe d +mit einer unionsweit einmaligen Identifizierungsnummer und den darin festgelegten Informationen registriert; der +Anbieter oder zukünftige Anbieter von Hochrisiko-KI-Systemen gemäß Anhang III Nummer 2 hat die Tests unter +Realbedingungen gemäß Artikel 49 Absatz 5 registriert; + +# DE ABl. L vom 12.7. + +92/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +d)der Anbieter oder der zukünftige Anbieter, der den Test unter Realbedingungen durchführt, ist in der Union +niedergelassen oder hat einen in der Union niedergelassenen gesetzlichen Vertreter bestellt; + + +e) die für die Zwecke des Tests unter Realbedingungen erhobenen und verarbeiteten Daten werden nur dann an Drittländer +übermittelt, wenn gemäß Unionsrecht geeignete und anwendbare Schutzvorkehrungen greifen; + + +f) der Test unter Realbedingungen dauert nicht länger als zur Erfüllung seiner Zielsetzungen nötig und in keinem Fall +länger als sechs Monate; dieser Zeitraum kann um weitere sechs Monate verlängert werden, sofern der Anbieter oder der +zukünftige Anbieter die Marktüberwachungsbehörde davon vorab in Kenntnis setzt und erläutert, warum eine solche +Verlängerung erforderlich ist; + + +g)Testteilnehmer im Rahmen von Tests unter Realbedingungen, die aufgrund ihres Alters oder einer Behinderung +schutzbedürftigen Gruppen angehören, sind angemessen geschützt; + + +h)wenn ein Anbieter oder zukünftiger Anbieter den Test unter Realbedingungen in Zusammenarbeit mit einem oder +mehreren Betreibern oder zukünftigen Betreibern organisiert, werden Letztere vorab über alle für ihre Teilnahmeent- +scheidung relevanten Aspekte des Tests informiert und erhalten die einschlägigen in Artikel 13 genannten +Betriebsanleitungen für das KI-System; der Anbieter oder zukünftige Anbieter und der Betreiber oder zukünftige +Betreiber schließen eine Vereinbarung, in der ihre Aufgaben und Zuständigkeiten festgelegt sind, um für die Einhaltung +der nach dieser Verordnung und anderem Unionsrecht und nationalem Recht für Tests unter Realbedingungen geltenden +Bestimmungen zu sorgen; + + +i) die Testteilnehmer im Rahmen von Tests unter Realbedingungen erteilen ihre informierte Einwilligung gemäß Artikel 61, +oder, wenn im Fall der Strafverfolgung die Einholung einer informierten Einwilligung den Test des KI-Systems verhindern +würde, dürfen sich der Test und die Ergebnisse des Tests unter Realbedingungen nicht negativ auf die Testteilnehmer +auswirken und ihre personenbezogenen Daten werden nach Durchführung des Tests gelöscht; + + +j) der Anbieter oder zukünftige Anbieter und die Betreiber und zukünftigen Betreiber lassen den Test unter +Realbedingungen von Personen wirksam überwachen, die auf dem betreffenden Gebiet angemessen qualifiziert sind +und über die Fähigkeit, Ausbildung und Befugnis verfügen, die für die Wahrnehmung ihrer Aufgaben erforderlich sind; + + +k)die Vorhersagen, Empfehlungen oder Entscheidungen des KI-Systems können effektiv rückgängig gemacht und außer +Acht gelassen werden. + + +(5) Jeder Testteilnehmer bezüglich des Tests unter Realbedingungen oder gegebenenfalls dessen gesetzlicher Vertreter +kann seine Teilnahme an dem Test jederzeit durch Widerruf seiner informierten Einwilligung beenden und die +unverzügliche und dauerhafte Löschung seiner personenbezogenen Daten verlangen, ohne dass ihm daraus Nachteile +entstehen und er dies in irgendeiner Weise begründen müsste. Der Widerruf der informierten Einwilligung wirkt sich nicht +auf bereits durchgeführte Tätigkeiten aus. + + +(6) Im Einklang mit Artikel 75 übertragen die Mitgliedstaaten ihren Marktüberwachungsbehörden die Befugnis, Anbieter +und zukünftige Anbieter zur Bereitstellung von Informationen zu verpflichten, unangekündigte Ferninspektionen oder +Vor-Ort-Inspektionen durchzuführen und die Durchführung der Tests unter Realbedingungen und damit zusammen- +hängende Hochrisiko-KI-Systeme zu prüfen. Die Marktüberwachungsbehörden nutzen diese Befugnisse, um für die sichere +Entwicklung von Tests unter Realbedingungen zu sorgen. + + +(7) Jegliche schwerwiegenden Vorfälle im Verlauf des Tests unter Realbedingungen sind den nationalen Marktüber- +wachungsbehörden gemäß Artikel 73 zu melden. Der Anbieter oder zukünftige Anbieter trifft Sofortmaßnahmen zur +Schadensbegrenzung; andernfalls setzt er den Test unter Realbedingungen so lange aus, bis eine Schadensbegrenzung +stattgefunden hat, oder bricht ihn ab. Im Fall eines solchen Abbruchs des Tests unter Realbedingungen richtet der Anbieter +oder zukünftige Anbieter ein Verfahren für den sofortigen Rückruf des KI-Systems ein. + + +(8) Anbieter oder zukünftige Anbieter setzen die nationalen Marktüberwachungsbehörde in dem Mitgliedstaat, in dem +der Test unter Realbedingungen stattfindet, über die Aussetzung oder den Abbruch des Tests unter Realbedingungen und +die Endergebnisse in Kenntnis. + + +(9) Anbieter oder zukünftige Anbieter sind nach geltendem Recht der Union und geltendem nationalen Recht für +Schäden haftbar, die während ihrer Tests unter Realbedingungen entstehen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 93/ + + + +Artikel 61 + + +Informierte Einwilligung zur Teilnahme an einem Test unter Realbedingungen außerhalb von KI-Reallaboren + + +(1) Für die Zwecke von Tests unter Realbedingungen gemäß Artikel 60 ist von den Testteilnehmern eine freiwillig erteilte +informierte Einwilligung einzuholen, bevor sie an dem Test teilnehmen und nachdem sie mit präzisen, klaren, relevanten +und verständlichen Informationen über Folgendes ordnungsgemäß informiert wurden: + + +a)die Art und die Zielsetzungen des Tests unter Realbedingungen und etwaige mit ihrer Teilnahme verbundene +Unannehmlichkeiten; + + +b)die Bedingungen, unter denen der Test unter Realbedingungen erfolgen soll, einschließlich der voraussichtlichen Dauer +der Teilnahme des Testteilnehmers oder der Testteilnehmer; + + +c) ihre Rechte und Garantien, die ihnen bezüglich ihrer Teilnahme zustehen, insbesondere ihr Recht, die Teilnahme an dem +Test unter Realbedingungen zu verweigern oder diese Teilnahme jederzeit zu beenden, ohne dass ihnen daraus Nachteile +entstehen und sie dies in irgendeiner Weise begründen müssten; + + +d)die Regelungen, unter denen die Rückgängigmachung oder Außerachtlassung der Vorhersagen, Empfehlungen oder +Entscheidungen des KI-Systems beantragt werden kann; + + +e) die unionsweit einmalige Identifizierungsnummer des Tests unter Realbedingungen gemäß Artikel 60 Absatz 4 +Buchstabe c und die Kontaktdaten des Anbieters oder seines gesetzlichen Vertreters, bei dem weitere Informationen +eingeholt werden können. + + +(2) Die informierte Einwilligung ist zu datieren und zu dokumentieren, und eine Kopie wird den Testteilnehmern oder +ihren gesetzlichen Vertretern ausgehändigt. + + +Artikel 62 + + +Maßnahmen für Anbieter und Betreiber, insbesondere KMU, einschließlich Start-up-Unternehmen + + +(1) Die Mitgliedstaaten ergreifen die folgenden Maßnahmen: + + +a)Sie gewähren KMU — einschließlich Start-up-Unternehmen —, die ihren Sitz oder eine Zweigniederlassung in der Union +haben, soweit sie die Voraussetzungen und Auswahlkriterien erfüllen, vorrangigen Zugang zu den KI-Reallaboren; der +vorrangige Zugang schließt nicht aus, dass andere als die in diesem Absatz genannten KMU, einschließlich +Start-up-Unternehmen, Zugang zum KI-Reallabor erhalten, sofern sie ebenfalls die Zulassungsvoraussetzungen und +Auswahlkriterien erfüllen; + + +b)sie führen besondere Sensibilisierungs- und Schulungsmaßnahmen für die Anwendung dieser Verordnung durch, die auf +die Bedürfnisse von KMU, einschließlich Start-up-Unternehmen, Betreibern sowie gegebenenfalls lokalen Behörden +ausgerichtet sind; + + +c) sie nutzen entsprechende bestehende Kanäle und richten gegebenenfalls neue Kanäle für die Kommunikation mit KMU, +einschließlich Start-up-Unternehmen, Betreibern, anderen Innovatoren sowie gegebenenfalls lokalen Behörden ein, um +Ratschläge zu geben und Fragen zur Durchführung dieser Verordnung, auch bezüglich der Beteiligung an KI-Reallaboren, +zu beantworten; + + +d)sie fördern die Beteiligung von KMU und anderen einschlägigen Interessenträgern an der Entwicklung von Normen. + + +(2) Bei der Festsetzung der Gebühren für die Konformitätsbewertung gemäß Artikel 43 werden die besonderen +Interessen und Bedürfnisse von KMU, einschließlich Start-up-Unternehmen, berücksichtigt, indem diese Gebühren +proportional zur Größe der Unternehmen, der Größe ihres Marktes und anderen einschlägigen Kennzahlen gesenkt werden. + + +(3) Das Büro für Künstliche Intelligenz ergreift die folgenden Maßnahmen: + + +a)es stellt standardisierte Muster für die unter diese Verordnung fallenden Bereiche bereit, wie vom KI-Gremium in seinem +Antrag festgelegt; + + +b)es entwickelt und führt eine zentrale Informationsplattform, über die allen Akteuren in der Union leicht nutzbare +Informationen zu dieser Verordnung bereitgestellt werden; + +# DE ABl. L vom 12.7. + +94/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +c) es führt geeignete Informationskampagnen durch, um für die aus dieser Verordnung erwachsenden Pflichten zu +sensibilisieren; + + +d)es bewertet und fördert die Zusammenführung bewährter Verfahren im Bereich der mit KI-Systemen verbundenen +Vergabeverfahren. + + +Artikel 63 + + +Ausnahmen für bestimmte Akteure + + +(1) Kleinstunternehmen im Sinne der Empfehlung 2003/361/EG können bestimmte Elemente des in Artikel 17 dieser +Verordnung vorgeschriebenen Qualitätsmanagementsystems in vereinfachter Weise einhalten, sofern sie keine +Partnerunternehmen oder verbundenen Unternehmen im Sinne dieser Empfehlung haben. Zu diesem Zweck arbeitet die +Kommission Leitlinien zu den Elementen des Qualitätsmanagementsystems aus, die unter Berücksichtigung der Bedürfnisse +von Kleinstunternehmen in vereinfachter Weise eingehalten werden können, ohne das Schutzniveau oder die Notwendigkeit +zur Einhaltung der Anforderungen in Bezug auf Hochrisiko-KI-Systeme zu beeinträchtigen. + + +(2) Absatz 1 dieses Artikels ist nicht dahin gehend auszulegen, dass diese Akteure auch von anderen in dieser +Verordnung festgelegten Anforderungen oder Pflichten, einschließlich der nach den Artikeln 9, 10, 11, 12, 13, 14, 15, 72 +und 73 geltenden, befreit sind. + + + + diff --git a/addons/godot_llama/demo/documents/8.md b/addons/godot_llama/demo/documents/8.md new file mode 100644 index 0000000..f351260 --- /dev/null +++ b/addons/godot_llama/demo/documents/8.md @@ -0,0 +1,442 @@ +KAPITEL VII +GOVERNANCE + + +ABSCHNITT 1 + + +Governance auf Unionsebene + + +Artikel 64 + + +Büro für Künstliche Intelligenz + + +(1) Die Kommission entwickelt über das Büro für Künstliche Intelligenz die Sachkenntnis und Fähigkeiten der Union auf +dem Gebiet der KI. + + +(2) Die Mitgliedstaaten erleichtern dem Büro für Künstliche Intelligenz die ihm gemäß dieser Verordnung übertragenen +Aufgaben. + + +Artikel 65 + + +Einrichtung und Struktur des Europäischen Gremiums für Künstliche Intelligenz + + +(1) Ein Europäisches Gremium für Künstliche Intelligenz (im Folgenden „KI-Gremium“) wird hiermit eingerichtet. + + +(2) Das KI-Gremium setzt sich aus einem Vertreter je Mitgliedstaat zusammen. Der Europäische Datenschutzbeauftragte +nimmt als Beobachter teil. Das Büro für Künstliche Intelligenz nimmt ebenfalls an den Sitzungen des KI-Gremiums teil, +ohne sich jedoch an den Abstimmungen zu beteiligen. Andere Behörden oder Stellen der Mitgliedstaaten und der Union +oder Sachverständige können im Einzelfall zu den Sitzungen des KI-Gremiums eingeladen werden, wenn die erörterten +Fragen für sie von Belang sind. + + +(3) Die Vertreter werden von ihren Mitgliedstaaten für einen Zeitraum von drei Jahren benannt, der einmal verlängert +werden kann. + + +(4) Die Mitgliedstaaten sorgen dafür, dass ihre Vertreter im KI-Gremium + + +a)in ihrem Mitgliedstaat über die einschlägigen Kompetenzen und Befugnisse verfügen, sodass sie aktiv zur Bewältigung +der in Artikel 66 genannten Aufgaben des KI-Gremiums beitragen können; + + +b)gegenüber dem KI-Gremium sowie gegebenenfalls, unter Berücksichtigung der Erfordernisse der Mitgliedstaaten, +gegenüber Interessenträgern als zentrale Ansprechpartner fungieren; + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 95/ + + + +c) ermächtigt sind, auf die Kohärenz und die Abstimmung zwischen den zuständigen nationalen Behörden in ihrem +Mitgliedstaat bei der Durchführung dieser Verordnung hinzuwirken, auch durch Erhebung einschlägiger Daten und +Informationen für die Zwecke der Erfüllung ihrer Aufgaben im KI-Gremium. + + +(5) Die benannten Vertreter der Mitgliedstaaten nehmen die Geschäftsordnung des KI-Gremiums mit einer +Zweidrittelmehrheit an. In der Geschäftsordnung sind insbesondere die Vorgehensweise für das Auswahlverfahren, die +Dauer des Mandats und die genauen Aufgaben des Vorsitzes, die Abstimmungsregelungen und die Organisation der +Tätigkeiten des KI-Gremiums und seiner Untergruppen festgelegt. + + +(6) Das KI-Gremium richtet zwei ständige Untergruppen ein, um Marktüberwachungsbehörden eine Plattform für die +Zusammenarbeit und den Austausch zu bieten und Behörden über Angelegenheiten, die jeweils die Marktüberwachung und +notifizierte Stellen betreffen, zu unterrichten. + + +Die ständige Untergruppe für Marktüberwachung sollte für diese Verordnung als Gruppe für die Verwaltungs- +zusammenarbeit (ADCO-Gruppe) im Sinne des Artikels 30 der Verordnung (EU) 2019/1020 fungieren. + + +Das KI-Gremium kann weitere ständige oder nichtständige Untergruppen einrichten, falls das für die Prüfung bestimmter +Fragen zweckmäßig sein sollte. Gegebenenfalls können Vertreter des in Artikel 67 genannten Beratungsforums als +Beobachter zu diesen Untergruppen oder zu bestimmten Sitzungen dieser Untergruppen eingeladen werden. + + +(7) Das KI-Gremium wird so organisiert und geführt, dass bei seinen Tätigkeiten Objektivität und Unparteilichkeit +gewahrt sind. + + +(8) Den Vorsitz im KI-Gremium führt einer der Vertreter der Mitgliedstaaten. Die Sekretariatsgeschäfte des KI-Gremiums +werden vom Büro für Künstliche Intelligenz geführt; dieses beruft auf Anfrage des Vorsitzes die Sitzungen ein und erstellt +die Tagesordnung im Einklang mit den Aufgaben des KI-Gremiums gemäß dieser Verordnung und seiner Geschäftsordnung. + + +Artikel 66 + + +Aufgaben des KI-Gremiums + + +Das KI-Gremium berät und unterstützt die Kommission und die Mitgliedstaaten, um die einheitliche und wirksame +Anwendung dieser Verordnung zu erleichtern. Für diese Zwecke kann das KI-Gremium insbesondere + + +a) zur Koordinierung zwischen den für die Anwendung dieser Verordnung zuständigen nationalen Behörden beitragen +und in Zusammenarbeit mit den betreffenden Marktüberwachungsbehörden und vorbehaltlich ihrer Zustimmung +gemeinsame Tätigkeiten der Marktüberwachungsbehörden gemäß Artikel 74 Absatz 11 unterstützen; + + +b) technisches und regulatorisches Fachwissen und bewährte Verfahren zusammentragen und unter den Mitgliedstaaten +verbreiten; + + +c) zur Durchführung dieser Verordnung Beratung anbieten, insbesondere im Hinblick auf die Durchsetzung der +Vorschriften zu KI-Modellen mit allgemeinem Verwendungszweck; + + +d) zur Harmonisierung der Verwaltungspraxis in den Mitgliedstaaten beitragen, auch bezüglich der Ausnahme vom +Konformitätsbewertungsverfahren gemäß Artikel 46 und der Funktionsweise von KI-Reallaboren und Tests unter +Realbedingungen gemäß den Artikeln 57, 59 und 60; + + +e) auf Anfrage der Kommission oder in Eigeninitiative Empfehlungen und schriftliche Stellungnahmen zu einschlägigen +Fragen der Durchführung dieser Verordnung und ihrer einheitlichen und wirksamen Anwendung abgeben, +einschließlich + + +i)zur Entwicklung und Anwendung von Verhaltenskodizes und Praxisleitfäden gemäß dieser Verordnung sowie der +Leitlinien der Kommission; + + +ii)zur Bewertung und Überprüfung dieser Verordnung gemäß Artikel 112, auch in Bezug auf die Meldung +schwerwiegender Vorfälle gemäß Artikel 73 und das Funktionieren der EU-Datenbank gemäß Artikel 71, die +Ausarbeitung der delegierten Rechtsakte oder Durchführungsrechtsakte sowie im Hinblick auf mögliche +Anpassungen dieser Verordnung an die in Anhang I aufgeführten Harmonisierungsrechtsvorschriften der Union; + + +iii)zu technischen Spezifikationen oder geltenden Normen in Bezug auf die in Kapitel III Abschnitt 2 festgelegten +Anforderungen; + +# DE ABl. L vom 12.7. + +96/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +iv)zur Anwendung der in den Artikeln 40 und 41 genannten harmonisierten Normen oder gemeinsamen +Spezifikationen; + + +v)zu Tendenzen, etwa im Bereich der globalen Wettbewerbsfähigkeit Europas auf dem Gebiet der KI, bei der +Verbreitung von KI in der Union und bei der Entwicklung digitaler Fähigkeiten; + + +vi)zu Tendenzen im Bereich der sich ständig weiterentwickelnden Typologie der KI-Wertschöpfungsketten +insbesondere hinsichtlich der sich daraus ergebenden Auswirkungen auf die Rechenschaftspflicht; + + +vii)zur möglicherweise notwendigen Änderung des Anhangs III im Einklang mit Artikel 7 und zur möglicherweise +notwendigen Überarbeitung des Artikels 5 gemäß Artikel 112 unter Berücksichtigung der einschlägigen +verfügbaren Erkenntnisse und der neuesten technologischen Entwicklungen; + + +f) die Kommission bei der Förderung der KI-Kompetenz, der Sensibilisierung und Aufklärung der Öffentlichkeit in Bezug +auf die Vorteile, Risiken, Schutzmaßnahmen, Rechte und Pflichten im Zusammenhang mit der Nutzung von +KI-Systemen unterstützen; + + +g) die Entwicklung gemeinsamer Kriterien und eines gemeinsamen Verständnisses der Marktteilnehmer und der +zuständigen Behörden in Bezug auf die in dieser Verordnung vorgesehenen einschlägigen Konzepte erleichtern, auch +durch einen Beitrag zur Entwicklung von Benchmarks; + + +h) gegebenenfalls mit anderen Organen, Einrichtungen und sonstigen Stellen der EU, einschlägigen Sachverständigen- +gruppen und Netzwerken der EU insbesondere in den Bereichen Produktsicherheit, Cybersicherheit, Wettbewerb, +digitale und Mediendienste, Finanzdienstleistungen, Verbraucherschutz, Datenschutz und Schutz der Grundrechte +zusammenarbeiten; + + +i) zur wirksamen Zusammenarbeit mit den zuständigen Behörden von Drittstaaten und mit internationalen +Organisationen beitragen; + + +j) die zuständigen nationalen Behörden und die Kommission beim Aufbau des für die Durchführung dieser Verordnung +erforderlichen organisatorischen und technischen Fachwissens beraten, unter anderem durch einen Beitrag zur +Einschätzung des Schulungsbedarfs des Personals der Mitgliedstaaten, das an der Durchführung dieser Verordnung +beteiligt ist; + + +k) dem Büro für Künstliche Intelligenz helfen, die zuständigen nationalen Behörden bei der Einrichtung und Entwicklung +von KI-Reallaboren zu unterstützen, und die Zusammenarbeit und den Informationsaustausch zwischen KI-Reallaboren +erleichtern; + + +l) zur Entwicklung von Leitfäden beitragen und diesbezüglich entsprechend beraten; + + +m)die Kommission zu internationalen Angelegenheiten im Bereich der KI beraten; + + +n) der Kommission Stellungnahmen zu qualifizierten Warnungen in Bezug auf KI-Modelle mit allgemeinem +Verwendungszweck vorlegen; + + +o) Stellungnahmen der Mitgliedstaaten zu qualifizierten Warnungen in Bezug auf KI-Modelle mit allgemeinem +Verwendungszweck entgegennehmen sowie zu nationalen Erfahrungen und Praktiken bei der Überwachung und +Durchsetzung von KI-Systemen, insbesondere von Systemen, die KI-Modelle mit allgemeinem Verwendungszweck +integrieren. + + +Artikel 67 + + +Beratungsforum + + +(1) Es wird ein Beratungsforum eingerichtet, das technisches Fachwissen bereitstellt, das KI-Gremium und die +Kommission berät und zu deren Aufgaben im Rahmen dieser Verordnung beiträgt. + + +(2) Die Mitglieder des Beratungsforums vertreten eine ausgewogene Auswahl von Interessenträgern, darunter die +Industrie, Start-up-Unternehmen, KMU, die Zivilgesellschaft und die Wissenschaft. Bei der Zusammensetzung des +Beratungsforums wird auf ein ausgewogenes Verhältnis zwischen wirtschaftlichen und nicht-wirtschaftlichen Interessen und +innerhalb der Kategorie der wirtschaftlichen Interessen zwischen KMU und anderen Unternehmen geachtet. + + +(3) Die Kommission ernennt die Mitglieder des Beratungsforums gemäß den in Absatz 2 genannten Kriterien aus dem +Kreis der Interessenträger mit anerkanntem Fachwissen auf dem Gebiet der KI. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 97/ + + + +(4) Die Amtszeit der Mitglieder des Beratungsforums beträgt zwei Jahre; sie kann bis zu höchstens vier Jahre verlängert +werden. + + +(5) Die Agentur der Europäischen Union für Grundrechte, ENISA, das Europäische Komitee für Normung (CEN), das +Europäische Komitee für elektrotechnische Normung (CENELEC) und das Europäische Institut für Telekommunikations- +normen (ETSI) sind ständige Mitglieder des Beratungsforums. + + +(6) Das Beratungsforum gibt sich eine Geschäftsordnung. Es wählt gemäß den in Absatz 2 festgelegten Kriterien zwei +Ko-Vorsitzende unter seinen Mitgliedern. Die Amtszeit der Ko-Vorsitzenden beträgt zwei Jahre und kann einmal verlängert +werden. + + +(7) Das Beratungsforum hält mindestens zweimal pro Jahr Sitzungen ab. Das Beratungsforum kann Sachverständige und +andere Interessenträger zu seinen Sitzungen einladen. + + +(8) Das Beratungsforum kann auf Ersuchen des KI-Gremiums oder der Kommission Stellungnahmen, Empfehlungen und +schriftliche Beiträge ausarbeiten. + + +(9) Das Beratungsforum kann gegebenenfalls ständige oder zeitweilige Untergruppen einsetzen, um spezifische Fragen +im Zusammenhang mit den Zielen dieser Verordnung zu prüfen. + + +(10) Das Beratungsforum erstellt jährlich einen Bericht über seine Tätigkeit. Dieser Bericht wird veröffentlicht. + + +Artikel 68 + + +Wissenschaftliches Gremium unabhängiger Sachverständiger + + +(1) Die Kommission erlässt im Wege eines Durchführungsrechtsakts Bestimmungen über die Einrichtung eines +wissenschaftlichen Gremiums unabhängiger Sachverständiger („wissenschaftliches Gremium“), das die Durchsetzungstätig- +keiten im Rahmen dieser Verordnung unterstützen soll. Dieser Durchführungsrechtsakt wird gemäß dem in Artikel 98 +Absatz 2 genannten Prüfverfahren erlassen. + + +(2) Das wissenschaftliche Gremium setzt sich aus Sachverständigen zusammen, die von der Kommission auf der +Grundlage aktueller wissenschaftlicher oder technischer Fachkenntnisse auf dem Gebiet der KI, die zur Erfüllung der in +Absatz 3 genannten Aufgaben erforderlich sind, ausgewählt werden, und muss nachweisen können, dass es alle folgenden +Bedingungen erfüllt: + + +a)es verfügt über besondere Fachkenntnisse und Kompetenzen sowie über wissenschaftliches oder technisches Fachwissen +auf dem Gebiet der KI; + + +b)es ist von Anbietern von KI-Systemen oder KI-Modellen mit allgemeinem Verwendungszweck unabhängig; + + +c) es ist in der Lage, Tätigkeiten sorgfältig, präzise und objektiv auszuführen. + + +Die Kommission legt in Absprache mit dem KI-Gremium die Anzahl der Sachverständigen des Gremiums nach Maßgabe +der jeweiligen Erfordernisse fest und sorgt für eine ausgewogene Vertretung der Geschlechter und eine gerechte geografische +Verteilung. + + +(3) Das wissenschaftliche Gremium berät und unterstützt das Büro für Künstliche Intelligenz, insbesondere in Bezug auf +folgende Aufgaben: + + +a)Unterstützung bei der Durchführung und Durchsetzung dieser Verordnung in Bezug auf KI-Modelle und -Systeme mit +allgemeinem Verwendungszweck, insbesondere indem es + + +i)das Büro für Künstliche Intelligenz im Einklang mit Artikel 90 vor möglichen systemischen Risiken von KI-Modellen +mit allgemeinem Verwendungszweck auf Unionsebene warnt; + + +ii)einen Beitrag zur Entwicklung von Instrumenten und Methoden für die Bewertung der Fähigkeiten von KI-Modellen +und -Systemen mit allgemeinem Verwendungszweck, auch durch Benchmarks, leistet; + + +iii)Beratung über die Einstufung von KI-Modellen mit allgemeinem Verwendungszweck mit systemischem Risiko +anbietet; + + +iv)Beratung über die Einstufung verschiedener KI-Modelle und -Systeme mit allgemeinem Verwendungszweck anbietet; + +# DE ABl. L vom 12.7. + +98/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + + + +v)einen Beitrag zur Entwicklung von Instrumenten und Mustern leistet; + + +b)Unterstützung der Arbeit der Marktüberwachungsbehörden auf deren Ersuchen; + + +c) Unterstützung grenzüberschreitender Marktüberwachungstätigkeiten gemäß Artikel 74 Absatz 11, ohne dass die +Befugnisse der Marktüberwachungsbehörden berührt werden; + + +d)Unterstützung des Büros für Künstliche Intelligenz bei der Wahrnehmung seiner Aufgaben im Rahmen des +Schutzklauselverfahrens der Union gemäß Artikel 81. + + +(4) Die Sachverständigen des wissenschaftlichen Gremiums führen ihre Aufgaben nach den Grundsätzen der +Unparteilichkeit und der Objektivität aus und gewährleisten die Vertraulichkeit der Informationen und Daten, in deren +Besitz sie bei der Ausführung ihrer Aufgaben und Tätigkeiten gelangen. Sie dürfen bei der Wahrnehmung ihrer Aufgaben +nach Absatz 3 weder Weisungen anfordern noch entgegennehmen. Jeder Sachverständige gibt eine Interessenerklärung ab, +die öffentlich zugänglich gemacht wird. Das Büro für Künstliche Intelligenz richtet Systeme und Verfahren ein, mit denen +mögliche Interessenkonflikte aktiv bewältigt und verhindert werden können. + + +(5) Der in Absatz 1 genannte Durchführungsrechtsakt enthält Bestimmungen über die Bedingungen, Verfahren und +detaillierten Regelungen nach denen das wissenschaftliche Gremium und seine Mitglieder Warnungen ausgeben und das +Büro für Künstliche Intelligenz um Unterstützung bei der Wahrnehmung der Aufgaben des wissenschaftlichen Gremiums +ersuchen können. + + +Artikel 69 + + +Zugang zum Pool von Sachverständigen durch die Mitgliedstaaten + + +(1) Die Mitgliedstaaten können Sachverständige des wissenschaftlichen Gremiums hinzuziehen, um ihre Durch- +setzungstätigkeiten im Rahmen dieser Verordnung zu unterstützen. + + +(2) Die Mitgliedstaaten können verpflichtet werden, für die Beratung und Unterstützung durch die Sachverständigen +Gebühren zu entrichten. Struktur und Höhe der Gebühren sowie Umfang und Struktur erstattungsfähiger Kosten werden in +dem in Artikel 68 Absatz 1 genannten Durchführungsrechtsakt festgelegt, wobei die Zielsetzung berücksichtigt wird, für die +angemessene Durchführung dieser Verordnung, für Kosteneffizienz sowie dafür zu sorgen, dass alle Mitgliedstaaten +effektiven Zugang zu Sachverständigen haben müssen. + + +(3) Die Kommission ermöglicht den Mitgliedstaaten bei Bedarf einen rechtzeitigen Zugang zu den Sachverständigen und +sorgt dafür, dass die Kombination aus unterstützenden Tätigkeiten durch die Union zur Prüfung von KI gemäß Artikel 84 +und durch die Sachverständigen gemäß dem vorliegenden Artikel effizient organisiert ist und den bestmöglichen +zusätzlichen Nutzen bringt. + + +ABSCHNITT 2 +Zuständige nationale Behörden + + +Artikel 70 + + +Benennung von zuständigen nationalen Behörden und zentrale Anlaufstelle + + +(1) Jeder Mitgliedstaat muss für die Zwecke dieser Verordnung mindestens eine notifizierende Behörde und mindestens +eine Marktüberwachungsbehörde als zuständige nationale Behörden einrichten oder benennen. Diese zuständigen +nationalen Behörden üben ihre Befugnisse unabhängig, unparteiisch und unvoreingenommen aus, um die Objektivität ihrer +Tätigkeiten und Aufgaben zu gewährleisten und die Anwendung und Durchführung dieser Verordnung sicherzustellen. Die +Mitglieder dieser Behörden haben jede Handlung zu unterlassen, die mit ihren Aufgaben unvereinbar ist. Sofern diese +Grundsätze gewahrt werden, können die betreffenden Tätigkeiten und Aufgaben gemäß den organisatorischen +Erfordernissen des Mitgliedstaats von einer oder mehreren benannten Behörden wahrgenommen werden. + + +(2) Die Mitgliedstaaten teilen der Kommission die Namen der notifizierenden Behörden und der Marktüberwachungs- +behörden und die Aufgaben dieser Behörden sowie alle späteren Änderungen mit. Die Mitgliedstaaten machen +Informationen darüber, wie die zuständigen Behörden und zentralen Anlaufstellen bis zum 2. August 2025 auf +elektronischem Wege kontaktiert werden können, öffentlich zugänglich. Die Mitgliedstaaten benennen eine Marktüber- +wachungsbehörde, die als zentrale Anlaufstelle für diese Verordnung fungiert, und teilen der Kommission den Namen der +zentralen Anlaufstelle mit. Die Kommission erstellt eine öffentlich verfügbare Liste der zentralen Anlaufstellen. + +# ABl. L vom 12.7.2024 DE + +ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) 99/ + +(3) Die Mitgliedstaaten sorgen dafür, dass ihre zuständigen nationalen Behörden mit angemessenen technischen und +finanziellen Mitteln sowie geeignetem Personal und Infrastrukturen ausgestattet werden, damit sie ihre Aufgaben im +Rahmen dieser Verordnung wirksam erfüllen können. Insbesondere müssen die zuständigen nationalen Behörden zu jeder +Zeit über eine ausreichende Zahl von Mitarbeitern verfügen, zu deren Kompetenzen und Fachwissen ein tiefes Verständnis +der KI-Technologien, der Daten und Datenverarbeitung, des Schutzes personenbezogener Daten, der Cybersicherheit, der +Grundrechte, der Gesundheits- und Sicherheitsrisiken sowie Kenntnis der bestehenden Normen und rechtlichen +Anforderungen gehört. Die Mitgliedstaaten bewerten und aktualisieren, falls erforderlich, jährlich die in diesem Absatz +genannten Erfordernisse bezüglich Kompetenzen und Ressourcen. + + +(4) Die zuständigen nationalen Behörden ergreifen geeignete Maßnahmen zur Sicherstellung eines angemessenen Maßes +an Cybersicherheit. + + +(5) Bei der Erfüllung ihrer Aufgaben halten sich die zuständigen nationalen Behörden an die in Artikel 78 festgelegten +Vertraulichkeitspflichten. + + +(6) Bis zum 2. August 2025 und anschließend alle zwei Jahre erstatten die Mitgliedstaaten der Kommission Bericht über +den Sachstand bezüglich der finanziellen Mittel und des Personals der zuständigen nationalen Behörden und geben eine +Einschätzung über deren Angemessenheit ab. Die Kommission leitet diese Informationen zur Erörterung und etwaigen +Abgabe von Empfehlungen an das KI-Gremium weiter. + + +(7) Die Kommission fördert den Erfahrungsaustausch zwischen den zuständigen nationalen Behörden. + + +(8) Die zuständigen nationalen Behörden können gegebenenfalls insbesondere KMU, einschließlich Start-up-Unterneh- +men, unter Berücksichtigung der Anleitung und Beratung durch das KI-Gremium oder der Kommission mit Anleitung und +Beratung bei der Durchführung dieser Verordnung zur Seite stehen. Wenn zuständige nationale Behörden beabsichtigen, +Anleitung und Beratung in Bezug auf ein KI-System in Bereichen anzubieten, die unter das Unionrecht fallen, so sind +gegebenenfalls die nach jenen Unionsrecht zuständigen nationalen Behörden zu konsultieren. + + +(9) Soweit Organe, Einrichtungen und sonstige Stellen der Union in den Anwendungsbereich dieser Verordnung fallen, +übernimmt der Europäische Datenschutzbeauftragte die Funktion der für ihre Beaufsichtigung zuständigen Behörde. diff --git a/addons/godot_llama/demo/documents/9.md b/addons/godot_llama/demo/documents/9.md new file mode 100644 index 0000000..ea34a05 --- /dev/null +++ b/addons/godot_llama/demo/documents/9.md @@ -0,0 +1,49 @@ +KAPITEL VIII +EU-DATENBANK FÜR HOCHRISIKO-KI-SYSTEME + + +Artikel 71 + + +EU-Datenbank für die in Anhang III aufgeführten Hochrisiko-KI-Systeme + + +(1) Die Kommission errichtet und führt in Zusammenarbeit mit den Mitgliedstaaten eine EU-Datenbank mit den in den +Absätzen 2 und 3 dieses Artikels genannten Informationen über Hochrisiko-KI-Systeme nach Artikel 6 Absatz 2, die gemäß +den Artikeln 49 und 60 registriert werden und über KI-Systeme, die nicht als Hochrisiko-KI-Systeme gemäß Artikel 6 +Absatz 3 gelten und gemäß Artikel 6 Absatz 4 und Artikel 49 registriert werden. Bei der Festlegung der +Funktionsspezifikationen dieser Datenbank konsultiert die Kommission die einschlägigen Sachverständigen und bei der +Aktualisierung der Funktionsspezifikationen dieser Datenbank konsultiert sie das KI-Gremium. + + +(2) Die in Anhang VIII Abschnitte A und B aufgeführten Daten werden vom Anbieter oder gegebenenfalls vom +Bevollmächtigten in die EU-Datenbank eingegeben. + + +(3) Die in Anhang VIII Abschnitt C aufgeführten Daten werden vom Betreiber, der eine Behörde, Einrichtung oder +sonstige Stelle ist oder in deren Namen handelt, gemäß Artikel 49 Absätze 3 und 4 in die EU-Datenbank eingegeben. + + +(4) Mit Ausnahme des in Artikel 49 Absatz 4 und Artikel 60 Absatz 4 Buchstabe c genannten Abschnitts müssen die +gemäß Artikel 49 in der Datenbank registrierten und dort enthaltenen Informationen auf benutzerfreundliche Weise +zugänglich und öffentlich verfügbar sein. Die Informationen sollten leicht handhabbar und maschinenlesbar sein. Auf die +gemäß Artikel 60 registrierten Informationen können nur Marktüberwachungsbehörden und die Kommission zugreifen, es +sei denn, der zukünftige Anbieter oder der Anbieter hat seine Zustimmung dafür erteilt, dass die Informationen auch +öffentlich zugänglich sind. + + +(5) Die EU-Datenbank enthält personenbezogene Daten nur, soweit dies für die Erfassung und Verarbeitung von +Informationen gemäß dieser Verordnung erforderlich ist. Zu diesen Informationen gehören die Namen und Kontaktdaten +der natürlichen Personen, die für die Registrierung des Systems verantwortlich sind und die rechtlich befugt sind, den +Anbieter oder gegebenenfalls den Betreiber zu vertreten. + +# DE ABl. L vom 12.7. + +100/144 ELI: [http://data.europa.eu/eli/reg/2024/1689/oj](http://data.europa.eu/eli/reg/2024/1689/oj) + +(6) Die Kommission gilt als für die EU-Datenbank Verantwortlicher. Sie stellt Anbietern, zukünftigen Anbietern und +Betreibern angemessene technische und administrative Unterstützung bereit. Die EU-Datenbank muss den geltenden +Barrierefreiheitsanforderungen entsprechen. + + + diff --git a/addons/godot_llama/godot_llama.gd b/addons/godot_llama/godot_llama.gd new file mode 100644 index 0000000..448859e --- /dev/null +++ b/addons/godot_llama/godot_llama.gd @@ -0,0 +1,19 @@ +class_name GodotLlama +extends RefCounted + +var model: LlamaModel +var context: LlamaContext + +func _init() -> void: + model = LlamaModel.new() + context = LlamaContext.new() + +func load_model(path: String, params: Dictionary = {}) -> Error: + return model.load(path, params) + +func create_context(params: Dictionary = {}) -> Error: + return context.create(model, params) + +func generate(prompt: String, max_tokens: int = 128, params: Dictionary = {}) -> String: + context.set_prompt(prompt) + return context.generate(max_tokens, params) diff --git a/addons/godot_llama/godot_llama.gd.uid b/addons/godot_llama/godot_llama.gd.uid new file mode 100644 index 0000000..6e26bcb --- /dev/null +++ b/addons/godot_llama/godot_llama.gd.uid @@ -0,0 +1 @@ +uid://bu13nu3yhqkcj diff --git a/addons/godot_llama/godot_llama.gdextension b/addons/godot_llama/godot_llama.gdextension new file mode 100644 index 0000000..0fa45a6 --- /dev/null +++ b/addons/godot_llama/godot_llama.gdextension @@ -0,0 +1,13 @@ +[configuration] +entry_symbol = "godot_llama_library_init" +compatibility_minimum = "4.4" + +[libraries] +linux.debug.x86_64 = "res://addons/godot_llama/bin/libgodot_llama.linux.template_debug.x86_64.so" +linux.release.x86_64 = "res://addons/godot_llama/bin/libgodot_llama.linux.template_release.x86_64.so" +windows.debug.x86_64 = "res://addons/godot_llama/bin/libgodot_llama.windows.template_debug.x86_64.dll" +windows.release.x86_64 = "res://addons/godot_llama/bin/libgodot_llama.windows.template_release.x86_64.dll" +macos.debug = "res://addons/godot_llama/bin/libgodot_llama.macos.template_debug.framework" +macos.release = "res://addons/godot_llama/bin/libgodot_llama.macos.template_release.framework" +android.debug.arm64 = "res://addons/godot_llama/bin/libgodot_llama.android.template_debug.arm64.so" +android.release.arm64 = "res://addons/godot_llama/bin/libgodot_llama.android.template_release.arm64.so" diff --git a/addons/godot_llama/godot_llama.gdextension.uid b/addons/godot_llama/godot_llama.gdextension.uid new file mode 100644 index 0000000..4f692fa --- /dev/null +++ b/addons/godot_llama/godot_llama.gdextension.uid @@ -0,0 +1 @@ +uid://doq1espxu5wck diff --git a/addons/small_example_balloon.tscn b/addons/small_example_balloon.tscn new file mode 100644 index 0000000..0aab50b --- /dev/null +++ b/addons/small_example_balloon.tscn @@ -0,0 +1,210 @@ +[gd_scene load_steps=12 format=3 uid="uid://13s5spsk34qu"] + +[ext_resource type="Script" uid="uid://d1wt4ma6055l8" path="res://addons/dialogue_manager/example_balloon/example_balloon.gd" id="1_s2gbs"] +[ext_resource type="PackedScene" uid="uid://ckvgyvclnwggo" path="res://addons/dialogue_manager/dialogue_label.tscn" id="2_hfvdi"] +[ext_resource type="Script" uid="uid://bb52rsfwhkxbn" path="res://addons/dialogue_manager/dialogue_responses_menu.gd" id="3_1j1j0"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_235ry"] +content_margin_left = 6.0 +content_margin_top = 3.0 +content_margin_right = 6.0 +content_margin_bottom = 3.0 +bg_color = Color(0.0666667, 0.0666667, 0.0666667, 1) +border_width_left = 1 +border_width_top = 1 +border_width_right = 1 +border_width_bottom = 1 +border_color = Color(0.345098, 0.345098, 0.345098, 1) +corner_radius_top_left = 3 +corner_radius_top_right = 3 +corner_radius_bottom_right = 3 +corner_radius_bottom_left = 3 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ufjut"] +content_margin_left = 6.0 +content_margin_top = 3.0 +content_margin_right = 6.0 +content_margin_bottom = 3.0 +bg_color = Color(0.227451, 0.227451, 0.227451, 1) +border_width_left = 1 +border_width_top = 1 +border_width_right = 1 +border_width_bottom = 1 +border_color = Color(1, 1, 1, 1) +corner_radius_top_left = 3 +corner_radius_top_right = 3 +corner_radius_bottom_right = 3 +corner_radius_bottom_left = 3 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_fcbqo"] +content_margin_left = 6.0 +content_margin_top = 3.0 +content_margin_right = 6.0 +content_margin_bottom = 3.0 +bg_color = Color(0.0666667, 0.0666667, 0.0666667, 1) +border_width_left = 1 +border_width_top = 1 +border_width_right = 1 +border_width_bottom = 1 +corner_radius_top_left = 3 +corner_radius_top_right = 3 +corner_radius_bottom_right = 3 +corner_radius_bottom_left = 3 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_t6i7a"] +content_margin_left = 6.0 +content_margin_top = 3.0 +content_margin_right = 6.0 +content_margin_bottom = 3.0 +bg_color = Color(0.0666667, 0.0666667, 0.0666667, 1) +border_width_left = 1 +border_width_top = 1 +border_width_right = 1 +border_width_bottom = 1 +corner_radius_top_left = 3 +corner_radius_top_right = 3 +corner_radius_bottom_right = 3 +corner_radius_bottom_left = 3 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_i6nbm"] +bg_color = Color(0, 0, 0, 1) +border_width_left = 1 +border_width_top = 1 +border_width_right = 1 +border_width_bottom = 1 +corner_radius_top_left = 3 +corner_radius_top_right = 3 +corner_radius_bottom_right = 3 +corner_radius_bottom_left = 3 + +[sub_resource type="Theme" id="Theme_qq3yp"] +default_font_size = 8 +Button/styles/disabled = SubResource("StyleBoxFlat_235ry") +Button/styles/focus = SubResource("StyleBoxFlat_ufjut") +Button/styles/hover = SubResource("StyleBoxFlat_fcbqo") +Button/styles/normal = SubResource("StyleBoxFlat_t6i7a") +MarginContainer/constants/margin_bottom = 4 +MarginContainer/constants/margin_left = 8 +MarginContainer/constants/margin_right = 8 +MarginContainer/constants/margin_top = 4 +PanelContainer/styles/panel = SubResource("StyleBoxFlat_i6nbm") + +[sub_resource type="Animation" id="Animation_i6nbm"] +resource_name = "progress" +loop_mode = 1 +step = 0.1 +tracks/0/type = "bezier" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Progress:position:y") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"handle_modes": PackedInt32Array(0, 0, 0, 0, 0), +"points": PackedFloat32Array(0, -0.25, 0, 0.25, 0, 0, -0.25, 0, 0.2, -0.0157438, -1, -0.2, 0.0112069, 0.25, 0, -1, -0.25, 0, 0.25, 0, 0, -0.2, 0.00299701, 0.25, 0), +"times": PackedFloat32Array(0, 0.1, 0.5, 0.6, 1) +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_6b6c8"] +_data = { +&"progress": SubResource("Animation_i6nbm") +} + +[node name="ExampleBalloon" type="CanvasLayer"] +layer = 100 +script = ExtResource("1_s2gbs") + +[node name="Balloon" type="Control" parent="."] +unique_name_in_owner = true +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme = SubResource("Theme_qq3yp") + +[node name="MarginContainer" type="MarginContainer" parent="Balloon"] +layout_mode = 1 +anchors_preset = 12 +anchor_top = 1.0 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_top = -71.0 +grow_horizontal = 2 +grow_vertical = 0 + +[node name="PanelContainer" type="PanelContainer" parent="Balloon/MarginContainer"] +clip_children = 2 +layout_mode = 2 +mouse_filter = 1 + +[node name="MarginContainer" type="MarginContainer" parent="Balloon/MarginContainer/PanelContainer"] +layout_mode = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer"] +layout_mode = 2 + +[node name="VBoxContainer" type="VBoxContainer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="CharacterLabel" type="RichTextLabel" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer"] +unique_name_in_owner = true +modulate = Color(1, 1, 1, 0.501961) +layout_mode = 2 +mouse_filter = 1 +bbcode_enabled = true +text = "Character" +fit_content = true +scroll_active = false + +[node name="DialogueLabel" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/VBoxContainer" instance=ExtResource("2_hfvdi")] +unique_name_in_owner = true +layout_mode = 2 +size_flags_vertical = 3 +text = "Dialogue..." + +[node name="Control" type="Control" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer"] +custom_minimum_size = Vector2(5, 3) +layout_mode = 2 +size_flags_vertical = 8 + +[node name="Progress" type="Polygon2D" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/Control"] +unique_name_in_owner = true +position = Vector2(0, -0.455998) +polygon = PackedVector2Array(0, 0, 2.5, 3, 5, 0) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="Balloon/MarginContainer/PanelContainer/MarginContainer/HBoxContainer/Control"] +libraries = { +&"": SubResource("AnimationLibrary_6b6c8") +} +autoplay = "progress" + +[node name="ResponsesMenu" type="VBoxContainer" parent="Balloon"] +unique_name_in_owner = true +layout_mode = 1 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -116.5 +offset_top = -9.0 +offset_right = 116.5 +offset_bottom = 9.0 +grow_horizontal = 2 +grow_vertical = 2 +size_flags_vertical = 8 +theme_override_constants/separation = 2 +script = ExtResource("3_1j1j0") + +[node name="ResponseExample" type="Button" parent="Balloon/ResponsesMenu"] +layout_mode = 2 +text = "Response Example" + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +unique_name_in_owner = true + +[connection signal="gui_input" from="Balloon" to="." method="_on_balloon_gui_input"] +[connection signal="response_selected" from="Balloon/ResponsesMenu" to="." method="_on_responses_menu_response_selected"] diff --git a/addons/terrain_3d/LICENSE.txt b/addons/terrain_3d/LICENSE.txt new file mode 100644 index 0000000..368567b --- /dev/null +++ b/addons/terrain_3d/LICENSE.txt @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 Cory Petkovsek, Roope Palmroos, and Contributors. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/addons/terrain_3d/README.md b/addons/terrain_3d/README.md new file mode 100644 index 0000000..1260ae0 --- /dev/null +++ b/addons/terrain_3d/README.md @@ -0,0 +1,52 @@ +![Terrain3D Logo](/doc/docs/images/terrain3d.jpg) + +# Terrain3D +A high performance, editable terrain system for Godot 4. + + +## Features +* Written in C++ as a GDExtension addon, which works with official builds of Godot Engine +* [Can be accessed](https://terrain3d.readthedocs.io/en/stable/docs/programming_languages.html) by GDScript, C#, and any language Godot supports +* Terrains as small as 64x64m up to 65.5x65.5km (4295km^2) in non-contiguous and variable sized regions +* Up to 32 textures +* Up to 10 levels of detail for the terrain mesh +* Foliage instancing, with up to 10 levels of detail, and a shadow impostor +* Sculpting, holes, texture painting, texture detiling, painting colors and wetness +* Imports heightmaps from [HTerrain](https://github.com/Zylann/godot_heightmap_plugin/), Gaea, World Creator, World Machine, Unity, Unreal and any tool that can export a heightmap. See [heightmaps](https://terrain3d.readthedocs.io/en/stable/docs/heightmaps.html) + + +## Games Using Terrain3D + +Please see the [featured games using Terrain3D](https://terrain3d.readthedocs.io/en/latest/docs/games.html) for examples of what it can do. + + +## Getting Started + +1. Read the [Introduction](https://terrain3d.readthedocs.io/en/stable/docs/introduction.html) to understand how this terrain system works. + +2. Read the [Installation & Upgrade](https://terrain3d.readthedocs.io/en/stable/docs/installation.html) instructions. + +3. Watch the [tutorial videos](https://terrain3d.readthedocs.io/en/stable/docs/tutorial_videos.html) and read through the documentation. + +4. For support, read [Getting Help](https://terrain3d.readthedocs.io/en/stable/docs/getting_help.html) and join our [Discord server](https://tokisan.com/discord). + + +## Credit +Developed for the Godot community by: + +||| +|--|--| +| **Cory Petkovsek, Tokisan Games** | [](https://twitter.com/TokisanGames) [](https://github.com/TokisanGames) [](https://tokisan.com/) [](https://tokisan.com/discord) [](https://www.youtube.com/@TokisanGames)| +| **Roope Palmroos, Outobugi Games** | [](https://twitter.com/outobugi) [](https://github.com/outobugi) [](https://outobugi.com/) [](https://www.youtube.com/@outobugi)| + +And the contribution team in [AUTHORS.md](https://terrain3d.readthedocs.io/en/stable/docs/authors.html) and on the right of the github page. + + +## Contributing + +Please see [CONTRIBUTING.md](https://github.com/TokisanGames/Terrain3D/blob/main/CONTRIBUTING.md) if you would like to help make Terrain3D the best terrain system for Godot. + + +## License + +This addon has been released under the [MIT License](https://github.com/TokisanGames/Terrain3D/blob/main/LICENSE.txt). diff --git a/addons/terrain_3d/bin/libterrain.android.debug.arm32.so b/addons/terrain_3d/bin/libterrain.android.debug.arm32.so new file mode 100644 index 0000000..73873d2 Binary files /dev/null and b/addons/terrain_3d/bin/libterrain.android.debug.arm32.so differ diff --git a/addons/terrain_3d/bin/libterrain.android.debug.arm64.so b/addons/terrain_3d/bin/libterrain.android.debug.arm64.so new file mode 100644 index 0000000..12a2dda Binary files /dev/null and b/addons/terrain_3d/bin/libterrain.android.debug.arm64.so differ diff --git a/addons/terrain_3d/bin/libterrain.android.release.arm32.so b/addons/terrain_3d/bin/libterrain.android.release.arm32.so new file mode 100644 index 0000000..0820e70 Binary files /dev/null and b/addons/terrain_3d/bin/libterrain.android.release.arm32.so differ diff --git a/addons/terrain_3d/bin/libterrain.android.release.arm64.so 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demonstrates how to import transforms from SimpleGrassTextured. To use it: +# +# 1. Setup the mesh asset you wish to use in the asset dock. +# 1. Select your Terrain3D node. +# 1. In the inspector, click Script (very bottom) and Quick Load import_sgt.gd. +# 1. At the very top, assign your SimpleGrassTextured node. +# 1. Input the desired mesh asset ID. +# 1. Click import. The output window and console will report when finished. +# 1. Clear the script from your Terrain3D node, and save your scene. +# +# The instance transforms are now stored in your region files. +# +# Use clear_instances to erase all instances that match the assign_mesh_id. +# +# The add_transforms function (called by add_multimesh) applies the height_offset specified in the +# Terrain3DMeshAsset. +# Once the transforms are imported, you can reassign any mesh you like into this mesh slot. + +@tool +extends Terrain3D + +@export var simple_grass_textured: MultiMeshInstance3D +@export var assign_mesh_id: int +@export var import: bool = false : set = import_sgt +@export var clear_instances: bool = false : set = clear_multimeshes + + +func clear_multimeshes(value: bool) -> void: + get_instancer().clear_by_mesh(assign_mesh_id) + + +func import_sgt(value: bool) -> void: + var sgt_mm: MultiMesh = simple_grass_textured.multimesh + var global_xform: Transform3D = simple_grass_textured.global_transform + print("Starting to import %d instances from SimpleGrassTextured using mesh id %d" % [ sgt_mm.instance_count, assign_mesh_id]) + var time: int = Time.get_ticks_msec() + get_instancer().add_multimesh(assign_mesh_id, sgt_mm, simple_grass_textured.global_transform) + print("Import complete in %.2f seconds" % [ float(Time.get_ticks_msec() - time)/1000. ]) + diff --git a/addons/terrain_3d/extras/3rd_party/import_sgt.gd.uid b/addons/terrain_3d/extras/3rd_party/import_sgt.gd.uid new file mode 100644 index 0000000..00b3868 --- /dev/null +++ b/addons/terrain_3d/extras/3rd_party/import_sgt.gd.uid @@ -0,0 +1 @@ +uid://bllcuwetve45k diff --git a/addons/terrain_3d/extras/3rd_party/project_on_terrain3d.gd b/addons/terrain_3d/extras/3rd_party/project_on_terrain3d.gd new file mode 100644 index 0000000..860014e --- /dev/null +++ b/addons/terrain_3d/extras/3rd_party/project_on_terrain3d.gd @@ -0,0 +1,137 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# This script is an addon for HungryProton's Scatter https://github.com/HungryProton/scatter +# It provides a `Project on Terrain3D` modifier, which allows Scatter +# to detect the terrain height from Terrain3D without using collision. +# +# Copy this file into /addons/proton_scatter/src/modifiers +# Then uncomment everything below (select, press CTRL+K) +# In the editor, add this modifier to Scatter, then set your Terrain3D node + +#@tool +#extends "base_modifier.gd" +# +# +#signal projection_completed +# +# +#@export var terrain_node : NodePath +#@export var align_with_collision_normal : bool = false +#@export_range(0.0, 90.0, 0.1) var max_slope : float = 90.0 +#@export var enable_texture_filtering : bool = false +#@export_range(0, 31) var target_texture_id : int = 0 +#@export var not_target_texture : bool = false +#@export_range(0.0, 1.0, 0.01) var texture_threshold : float = 0.8 +# +#var _terrain: Terrain3D +# +# +#func _init() -> void: + #display_name = "Project On Terrain3D" + #category = "Edit" + #can_restrict_height = false + #global_reference_frame_available = true + #local_reference_frame_available = true + #individual_instances_reference_frame_available = true + #use_global_space_by_default() +# + #documentation.add_paragraph( + #"This is a modified version of `Project on Colliders` that queries Terrain3D + #for heights without using collision. It constrains placement by slope or texture. +# + #This modifier must have terrain_node set to a Terrain3D node.") +# + #var p := documentation.add_parameter("Terrain Node") + #p.set_type("NodePath") + #p.set_description("Set your Terrain3D node.") + # + #p = documentation.add_parameter("Align with collision normal") + #p.set_type("bool") + #p.set_description( + #"Rotate the transform to align it with the collision normal in case + #the ray cast hit a collider.") + # + #p = documentation.add_parameter("Enable Texture Filtering") + #p.set_type("bool") + #p.set_description( + #"If enabled, objects will only be placed based on the ground texture specified.") + # + #p = documentation.add_parameter("Target Texture ID") + #p.set_type("int") + #p.set_description( + #"The ID of the texture to place objects on (0-31). Objects will only be placed on this texture.") + # + #p = documentation.add_parameter("Not Target Texture") + #p.set_type("bool") + #p.set_description( + #"If true, objects will be placed on all textures EXCEPT the target texture.") + # + #p = documentation.add_parameter("Texture Threshold") + #p.set_type("float") + #p.set_description("The blend value required for placement on the texture.") +# +# +#func _process_transforms(transforms, domain, _seed) -> void: + #if transforms.is_empty(): + #return +# + #if terrain_node: + #_terrain = domain.get_root().get_node_or_null(terrain_node) +# + #if not _terrain: + #warning += """No Terrain3D node found""" + #return +# + #if not _terrain.data: + #warning += """Terrain3DData is not initialized""" + #return +# + ## Review transforms + #var gt: Transform3D = domain.get_global_transform() + #var gt_inverse := gt.affine_inverse() + #var new_transforms_array: Array[Transform3D] = [] + #var remapped_max_slope: float = remap(max_slope, 0.0, 90.0, 0.0, 1.0) + #for i in transforms.list.size(): + #var t: Transform3D = transforms.list[i] + # + #var location: Vector3 = (gt * t).origin + #var height: float = _terrain.data.get_height(location) + #if is_nan(height): + #continue + # + #var normal: Vector3 = _terrain.data.get_normal(location) + #if not abs(Vector3.UP.dot(normal)) >= (1.0 - remapped_max_slope): + #continue + # + #if enable_texture_filtering: + #var texture_info: Vector3 = _terrain.data.get_texture_id(location) + #var base_id: int = int(texture_info.x) + #var overlay_id: int = int(texture_info.y) + #var blend_value: float = texture_info.z + ## Skip if overlay or blend != target texture, unless inverted + #if ((overlay_id != target_texture_id or blend_value < texture_threshold) and \ + #(base_id != target_texture_id or blend_value >= texture_threshold)) != not_target_texture: + #continue +# + #if align_with_collision_normal and not is_nan(normal.x): + #t.basis.y = normal + #t.basis.x = -t.basis.z.cross(normal) + #t.basis = t.basis.orthonormalized() +# + #t.origin.y = height - gt.origin.y + #new_transforms_array.push_back(t) +# + #transforms.list.clear() + #transforms.list.append_array(new_transforms_array) +# + #if transforms.is_empty(): + #warning += """All transforms have been removed. Possible reasons include: \n""" + #if enable_texture_filtering: + #warning += """+ No matching texture found at any position. + #+ Texture threshold may be too high. + #""" + #warning += """+ No collider is close enough to the shapes. + #+ Ray length is too short. + #+ Ray direction is incorrect. + #+ Collision mask is not set properly. + #+ Max slope is too low. + #""" diff --git a/addons/terrain_3d/extras/3rd_party/project_on_terrain3d.gd.uid b/addons/terrain_3d/extras/3rd_party/project_on_terrain3d.gd.uid new file mode 100644 index 0000000..6911309 --- /dev/null +++ b/addons/terrain_3d/extras/3rd_party/project_on_terrain3d.gd.uid @@ -0,0 +1 @@ +uid://g3opjh3m3iww diff --git a/addons/terrain_3d/extras/particle_example/Terrain3DParticles.tscn b/addons/terrain_3d/extras/particle_example/Terrain3DParticles.tscn new file mode 100644 index 0000000..0b5e615 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/Terrain3DParticles.tscn @@ -0,0 +1,25 @@ +[gd_scene load_steps=5 format=3 uid="uid://d3sr0a7dxfkr8"] + +[ext_resource type="Script" uid="uid://bp7r4ppgq1m0g" path="res://addons/terrain_3d/extras/particle_example/terrain_3D_particles.gd" id="1_gl3qg"] +[ext_resource type="Material" uid="uid://el5y10hnh13g" path="res://addons/terrain_3d/extras/particle_example/process_material.tres" id="2_2gon1"] +[ext_resource type="Material" uid="uid://ljo1wt61kbkq" path="res://addons/terrain_3d/extras/particle_example/grass_material.tres" id="3_qyjnw"] + +[sub_resource type="RibbonTrailMesh" id="RibbonTrailMesh_fwrtk"] +shape = 0 +section_length = 0.18 +section_segments = 1 + +[node name="Terrain3DParticles" type="Node3D"] +script = ExtResource("1_gl3qg") +instance_spacing = 0.25 +cell_width = 24.0 +grid_width = 5 +rows = 96 +amount = 9216 +process_material = ExtResource("2_2gon1") +mesh = SubResource("RibbonTrailMesh_fwrtk") +shadow_mode = 0 +mesh_material_override = ExtResource("3_qyjnw") +min_draw_distance = 60.0 +particle_count = 230400 +metadata/_edit_lock_ = true diff --git a/addons/terrain_3d/extras/particle_example/grass.gdshader b/addons/terrain_3d/extras/particle_example/grass.gdshader new file mode 100644 index 0000000..a149fd6 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/grass.gdshader @@ -0,0 +1,69 @@ +// Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. + +shader_type spatial; + +render_mode skip_vertex_transform, cull_disabled, blend_mix; + +uniform vec2 wind_direction = vec2(1.0, 1.0); + +varying vec4 data; + +// A lot of hard coded things here atm. +void vertex() { + // Wind effect from model data, in this case no vertex colors, + // so just use vertex Y component, including mesh offset + data[2] = (VERTEX.y + 0.55); + data[2] *= data[2]; // make non-linear + + // Ribbon used as a grass mesh.. so pinch the top. + VERTEX.xz *= (1.0 - data[2]); + + // Brighten tips + COLOR = mix(COLOR, vec4(1.0), smoothstep(0.9, 1.0, data[2])); + // Darken base, skip is scale is less than threshold, as this means "grow in" is occuring. + COLOR *= INSTANCE_CUSTOM[3] < 0.35 ? 1. : mix(1.0, 0.75, smoothstep(0.35, 0.0, data[2])); + // Save red/green shift for fragment + data.rg = INSTANCE_CUSTOM.rg; + + // World space vertex + vec3 w_vertex = (MODEL_MATRIX * vec4(VERTEX, 1.0)).xyz; + // Get wind force and scale from process() + float scale = pow(INSTANCE_CUSTOM[3] * INSTANCE_CUSTOM[3], 0.707); + float force = INSTANCE_CUSTOM[2] * data[2] * scale; + // Add some cheap jitter at high wind values + force -= fract(force * 256.0) * force * 0.05; + // Curve the result + force = pow(force, 0.707); + + // These 2 combined result in a decent bend without resorting to matrices or pivot data. + // Lateral move and wobble + float lateral_wobble = sin(TIME * 2.0 * (1.0 + data.r + data.g)) * 0.25 * (1.0 - INSTANCE_CUSTOM[2]); + vec2 direction = normalize(wind_direction); + w_vertex.xz -= (vec2(-direction.y, direction.x) * lateral_wobble + direction) * force; + // Flatten + w_vertex.y -= INSTANCE_CUSTOM[2] * force * data[2]; + + // Save final wind force value for fragment. + data[3] = force; + + VERTEX = (VIEW_MATRIX * vec4(w_vertex, 1.0)).xyz; + NORMAL = MODELVIEW_NORMAL_MATRIX * NORMAL; + BINORMAL = MODELVIEW_NORMAL_MATRIX * BINORMAL; + TANGENT = MODELVIEW_NORMAL_MATRIX * TANGENT; +} + +void fragment() { + // Hard coded color. + ALBEDO = vec3(0.20, 0.22, 0.05) * (data[2] * 0.5 + 0.5); + ALBEDO.rg *= (data.rg * 0.3 + 0.9); + ALBEDO *= pow(COLOR.rgb, vec3(2.2)); + // Modify roughness / specular based on wind force for added detail + float spec_rough = clamp(max(data[2], data[3]), 0., 1.); + ROUGHNESS = 1. - spec_rough; + SPECULAR = clamp(spec_rough * 0.25, 0., .15); + + BACKLIGHT = vec3(0.33); + #if CURRENT_RENDERER == RENDERER_COMPATIBILITY + ALBEDO = pow(ALBEDO, vec3(0.4)); + #endif +} diff --git a/addons/terrain_3d/extras/particle_example/grass.gdshader.uid b/addons/terrain_3d/extras/particle_example/grass.gdshader.uid new file mode 100644 index 0000000..94b0237 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/grass.gdshader.uid @@ -0,0 +1 @@ +uid://dq3lfyp3u5oxt diff --git a/addons/terrain_3d/extras/particle_example/grass_material.tres b/addons/terrain_3d/extras/particle_example/grass_material.tres new file mode 100644 index 0000000..2fd2fe8 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/grass_material.tres @@ -0,0 +1,8 @@ +[gd_resource type="ShaderMaterial" load_steps=2 format=3 uid="uid://ljo1wt61kbkq"] + +[ext_resource type="Shader" uid="uid://dq3lfyp3u5oxt" path="res://addons/terrain_3d/extras/particle_example/grass.gdshader" id="1_nkru0"] + +[resource] +render_priority = 0 +shader = ExtResource("1_nkru0") +shader_parameter/wind_direction = Vector2(1, 1) diff --git a/addons/terrain_3d/extras/particle_example/particles.gdshader b/addons/terrain_3d/extras/particle_example/particles.gdshader new file mode 100644 index 0000000..300198c --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/particles.gdshader @@ -0,0 +1,275 @@ +// Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. + +// This is an example particle shader designed to procedurally place +// particles like grass, small rocks, and other ground effects, on the terrain +// surface by reading the Terrain3D data maps. It works in tandem with the +// provided GDScript. + +shader_type particles; +render_mode disable_velocity, disable_force; + +group_uniforms options; +uniform sampler2D main_noise; +uniform float main_noise_scale = 0.01; +uniform vec3 position_offset = vec3(0.); +uniform bool align_to_normal = true; +uniform float normal_strength : hint_range(0.01, 1.0, 0.01) = 0.3; +uniform bool random_rotation = true; +uniform float random_spacing : hint_range(0.0, 1.0, 0.01) = 0.5; +uniform vec3 min_scale = vec3(1.0); +uniform vec3 max_scale = vec3(1.0); + +group_uniforms wind; +uniform float noise_scale = 0.0041; +uniform float wind_speed = 0.025; +uniform float wind_strength : hint_range(0.0, 1.0, 0.01) = 1.0; +uniform float wind_dithering = 4.0; +uniform vec2 wind_direction = vec2(1.0,1.0); + +group_uniforms shapeing; +uniform float clod_scale_boost = 3.0; +uniform float clod_min_threshold : hint_range(0.0, 1.0, 0.001) = 0.2; +uniform float clod_max_threshold : hint_range(0.0, 1.0, 0.001) = 0.5; +uniform float patch_min_threshold : hint_range(0.0, 1.0, 0.001) = 0.025; +uniform float patch_max_threshold : hint_range(0.0, 1.0, 0.001) = 0.2; + +group_uniforms filtering; +uniform float condition_dither_range : hint_range(0.0, 1.0, 0.01) = 0.15; +uniform float surface_slope_min : hint_range(0.0, 1.0, 0.01) = 0.87; +uniform float distance_fade_ammount : hint_range(0.0, 1.0, 0.01) = 0.5; + +group_uniforms private; +uniform float max_dist = 1.; +uniform vec3 camera_position = vec3(0.); +uniform uint instance_rows = 1; +uniform float instance_spacing = 0.5; +uniform uint _background_mode = 0u; +uniform float _vertex_spacing = 1.0; +uniform float _vertex_density = 1.0; // = 1/_vertex_spacing +uniform float _region_size = 1024.0; +uniform float _region_texel_size = 0.0009765625; // = 1/REGION_SIZE +uniform int _region_map_size = 32; +uniform int _region_map[1024]; +uniform vec2 _region_locations[1024]; +uniform highp sampler2DArray _height_maps : repeat_disable; +uniform highp sampler2DArray _control_maps : repeat_disable; +uniform highp sampler2DArray _color_maps : repeat_disable; + +// Defined Constants +#define SKIP_PASS 0 +#define VERTEX_PASS 1 +#define FRAGMENT_PASS 2 + +// Takes in world space XZ (UV) coordinates & search depth (only applicable for background mode none) +// Returns ivec3 with: +// XY: (0 to _region_size - 1) coordinates within a region +// Z: layer index used for texturearrays, -1 if not in a region +ivec3 get_index_coord(const vec2 uv, const int search) { + vec2 r_uv = round(uv); + vec2 o_uv = mod(r_uv,_region_size); + ivec2 pos; + int bounds, layer_index = -1; + for (int i = -1; i < 0; i++) { + if ((layer_index == -1 && _background_mode == 0u) || i < 0) { + r_uv -= i == -1 ? vec2(0.0) : vec2(float(o_uv.x <= o_uv.y), float(o_uv.y <= o_uv.x)); + pos = ivec2(floor((r_uv) * _region_texel_size)) + (_region_map_size / 2); + bounds = int(uint(pos.x | pos.y) < uint(_region_map_size)); + layer_index = (_region_map[ pos.y * _region_map_size + pos.x ] * bounds - 1); + } + } + return ivec3(ivec2(mod(r_uv,_region_size)), layer_index); +} + +#if CURRENT_RENDERER == RENDERER_COMPATIBILITY + #define fma(a, b, c) ((a) * (b) + (c)) +#endif +float random(vec2 v) { + return fract(1e4 * sin(fma(17.0, v.x, v.y * 0.1)) * (0.1 + abs(sin(fma(v.y, 13.0, v.x))))); +} + +mat3 rotation_matrix(vec3 axis, float angle) { + float c = cos(angle); + float s = sin(angle); + float t = 1.0 - c; + vec3 n = normalize(axis); + float x = n.x; + float y = n.y; + float z = n.z; + + return mat3( + vec3(t * x * x + c, t * x * y - z * s, t * x * z + y * s), + vec3(t * x * y + z * s, t * y * y + c, t * y * z - x * s), + vec3(t * x * z - y * s, t * y * z + x * s, t * z * z + c)); +} + +mat3 align_to_vector(vec3 normal) { + vec3 up = vec3(0.0, 1.0, 0.0); + if (abs(dot(normal, up)) > 0.9999) { // Avoid singularity + up = vec3(1.0, 0.0, 0.0); + } + vec3 tangent = normalize(cross(up, normal)); + vec3 bitangent = normalize(cross(tangent, normal)); + return mat3(tangent, normal, bitangent); +} + +void start() { + // Create centered a grid + vec3 pos = vec3(float(INDEX % instance_rows), 0.0, float(INDEX / instance_rows)) - float(instance_rows >> 1u); + + // Apply spcaing + pos *= instance_spacing; + // Move the grid to the emitter, snapping is handled CPU side + pos.xz += EMISSION_TRANSFORM[3].xz; + + // Create random values per-instance, incorporating the seed, mask bits to avoid NAN/INF + float seed = fract(uintBitsToFloat(RANDOM_SEED & 0x7EFFFFFFu)); + vec3 r = fract(vec3(random(pos.xz), random(pos.xz + vec2(0.5)), random(pos.xz - vec2(0.5))) + seed); + // Randomize instance spacing + pos.x += ((r.x * 2.0) - 1.0) * random_spacing * instance_spacing; + pos.z += ((r.z * 2.0) - 1.0) * random_spacing * instance_spacing; + + // Lookup offsets, ID and blend weight + const vec3 offsets = vec3(0, 1, 2); + vec2 index_id = floor(pos.xz * _vertex_density); + vec2 weight = fract(pos.xz * _vertex_density); + vec2 invert = 1.0 - weight; + vec4 weights = vec4( + invert.x * weight.y, // 0 + weight.x * weight.y, // 1 + weight.x * invert.y, // 2 + invert.x * invert.y // 3 + ); + + ivec3 index[4]; + // Map lookups + index[0] = get_index_coord(index_id + offsets.xy, VERTEX_PASS); + index[1] = get_index_coord(index_id + offsets.yy, VERTEX_PASS); + index[2] = get_index_coord(index_id + offsets.yx, VERTEX_PASS); + index[3] = get_index_coord(index_id + offsets.xx, VERTEX_PASS); + + highp float h[8]; + h[0] = texelFetch(_height_maps, index[0], 0).r; // 0 (0,1) + h[1] = texelFetch(_height_maps, index[1], 0).r; // 1 (1,1) + h[2] = texelFetch(_height_maps, index[2], 0).r; // 2 (1,0) + h[3] = texelFetch(_height_maps, index[3], 0).r; // 3 (0,0) + h[4] = texelFetch(_height_maps, get_index_coord(index_id + offsets.yz, VERTEX_PASS), 0).r; // 4 (1,2) + h[5] = texelFetch(_height_maps, get_index_coord(index_id + offsets.zy, VERTEX_PASS), 0).r; // 5 (2,1) + h[6] = texelFetch(_height_maps, get_index_coord(index_id + offsets.zx, VERTEX_PASS), 0).r; // 6 (2,0) + h[7] = texelFetch(_height_maps, get_index_coord(index_id + offsets.xz, VERTEX_PASS), 0).r; // 7 (0,2) + vec3 index_normal[4]; + index_normal[0] = vec3(h[0] - h[1], _vertex_spacing, h[0] - h[7]); + index_normal[1] = vec3(h[1] - h[5], _vertex_spacing, h[1] - h[4]); + index_normal[2] = vec3(h[2] - h[6], _vertex_spacing, h[2] - h[1]); + index_normal[3] = vec3(h[3] - h[2], _vertex_spacing, h[3] - h[0]); + vec3 w_normal = normalize( + index_normal[0] * weights[0] + + index_normal[1] * weights[1] + + index_normal[2] * weights[2] + + index_normal[3] * weights[3]); + + // Set the height according to the heightmap data + pos.y = + h[0] * weights[0] + + h[1] * weights[1] + + h[2] * weights[2] + + h[3] * weights[3] ; + + // Offset, Rotation, Alignment. + TRANSFORM = mat4(1.0); + vec3 orientation = vec3(0., 1., 0.); + + vec2 uv = (pos.xz) * main_noise_scale; + float noise = textureLod(main_noise, uv, 0.0).r; + float clods = smoothstep(clod_min_threshold, clod_max_threshold, noise) * clod_scale_boost; + float patch = smoothstep(patch_min_threshold, patch_max_threshold, noise); + float width_modifier = 1.0 + 3.0 * smoothstep(0., max_dist, length(camera_position - pos)); + + // Calculate scale + vec3 scale = vec3( + mix(min_scale.x, max_scale.x, r.x) * width_modifier, + mix(min_scale.y, max_scale.y, r.y) + clods, + mix(min_scale.z, max_scale.z, r.z) * width_modifier) * patch; + + // Apply scale to offset + vec3 offset = position_offset * scale; + + // Apply normal orientation + if (align_to_normal) { + orientation = mix(orientation, w_normal, normal_strength); + mat3 alignment = align_to_vector(orientation); + offset = alignment * offset; + TRANSFORM = mat4(alignment); + } + + // Apply rotation around orientation + if (random_rotation) { + mat3 rotation = rotation_matrix(orientation, r.x * TAU); + TRANSFORM = mat4(rotation) * TRANSFORM; + } + + // Filtering - Causes some particles to be rendered as degenerate triangles + // via 0./0. - Particles filtered this way are still processed by the GPU. + // For compatibility it seems we must shift as well. + // Surface slope filtering + if (surface_slope_min > w_normal.y + (r.y - 0.5) * condition_dither_range) { + pos.y = 0. / 0.; + pos.xz = vec2(100000.0); + } + + // Read color map + highp vec4 c[4]; + #define COLOR_MAP vec4(1., 1., 1., 0.5) + c[0] = index[0].z >= 0 ? texelFetch(_color_maps, index[0], 0) : COLOR_MAP; // 0 (0,1) + c[1] = index[1].z >= 0 ? texelFetch(_color_maps, index[1], 0) : COLOR_MAP; // 1 (1,1) + c[2] = index[2].z >= 0 ? texelFetch(_color_maps, index[2], 0) : COLOR_MAP; // 2 (1,0) + c[3] = index[3].z >= 0 ? texelFetch(_color_maps, index[3], 0) : COLOR_MAP; // 3 (0,0) + vec4 color_map = + c[0] * weights[0] + + c[1] * weights[1] + + c[2] * weights[2] + + c[3] * weights[3] ; + + COLOR = color_map; + + // Read control map + uint control = floatBitsToUint(texelFetch(_control_maps, index[3], 0).r); + bool auto = bool(control & 0x1u); + int base = int(control >>27u & 0x1Fu); + int over = int(control >> 22u & 0x1Fu); + float blend = float(control >> 14u & 0xFFu) * 0.003921568627450; // 1. / 255. + + // Hardcoded example, hand painted texture id 0 is filtered out. + if (!auto && ((base == 0 && blend < 0.7) || (over == 0 && blend >= 0.3))) { + pos.y = 0. / 0.; + pos.xz = vec2(100000.0); + } + + if (length(camera_position - pos) > max_dist) { + pos.y = 0. / 0.; + pos.xz = vec2(100000.0); + } else { + float fade_factor = 1.0 - smoothstep(max_dist * distance_fade_ammount, max_dist + 0.0001, length(camera_position - pos)) + 0.001; + scale.y *= fade_factor; + offset *= fade_factor; + } + + // Apply scale + TRANSFORM[0] *= scale.x; + TRANSFORM[1] *= scale.y; + TRANSFORM[2] *= scale.z; + + // Apply the position + TRANSFORM[3].xyz = pos.xyz + offset; + + // Save Fixed 2 Random values for Reg/Green color randomness + CUSTOM.rg = r.rg; + // Save Y component scale pre-rotation + CUSTOM[3] = scale.y; +} + +void process() { + // Extract world space UV from Transform Matrix + vec2 uv = (TRANSFORM[3].xz + CUSTOM.rg * wind_dithering) * noise_scale; + // Scaled wind noise, updated per instance, at process FPS. Passed to Vertex() + CUSTOM[2] = textureLod(main_noise, uv + TIME * wind_speed * normalize(wind_direction), 0.0).r * wind_strength; +} diff --git a/addons/terrain_3d/extras/particle_example/particles.gdshader.uid b/addons/terrain_3d/extras/particle_example/particles.gdshader.uid new file mode 100644 index 0000000..595a815 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/particles.gdshader.uid @@ -0,0 +1 @@ +uid://dce675i014xcn diff --git a/addons/terrain_3d/extras/particle_example/process_material.tres b/addons/terrain_3d/extras/particle_example/process_material.tres new file mode 100644 index 0000000..27504e0 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/process_material.tres @@ -0,0 +1,49 @@ +[gd_resource type="ShaderMaterial" load_steps=4 format=3 uid="uid://el5y10hnh13g"] + +[ext_resource type="Shader" uid="uid://dce675i014xcn" path="res://addons/terrain_3d/extras/particle_example/particles.gdshader" id="1_t55me"] + +[sub_resource type="FastNoiseLite" id="FastNoiseLite_544iv"] +noise_type = 2 +frequency = 0.0145 +cellular_return_type = 4 + +[sub_resource type="NoiseTexture2D" id="NoiseTexture2D_544iv"] +noise = SubResource("FastNoiseLite_544iv") +seamless = true + +[resource] +shader = ExtResource("1_t55me") +shader_parameter/main_noise = SubResource("NoiseTexture2D_544iv") +shader_parameter/main_noise_scale = 0.01 +shader_parameter/position_offset = Vector3(0, 0.45, 0) +shader_parameter/align_to_normal = true +shader_parameter/normal_strength = 0.3 +shader_parameter/random_rotation = true +shader_parameter/random_spacing = 0.5 +shader_parameter/min_scale = Vector3(0.125, 0.5, 0.125) +shader_parameter/max_scale = Vector3(0.125, 1, 0.125) +shader_parameter/noise_scale = 0.0041 +shader_parameter/wind_speed = 0.025 +shader_parameter/wind_strength = 1.0 +shader_parameter/wind_dithering = 4.0 +shader_parameter/wind_direction = Vector2(1, 1) +shader_parameter/clod_scale_boost = 2.0 +shader_parameter/clod_min_threshold = 0.2 +shader_parameter/clod_max_threshold = 0.8 +shader_parameter/patch_min_threshold = 0.025 +shader_parameter/patch_max_threshold = 0.2 +shader_parameter/condition_dither_range = 0.15 +shader_parameter/surface_slope_min = 0.87 +shader_parameter/distance_fade_ammount = 0.66 +shader_parameter/max_dist = 1.0 +shader_parameter/camera_position = Vector3(0, 0, 0) +shader_parameter/instance_rows = 1 +shader_parameter/instance_spacing = 0.5 +shader_parameter/_background_mode = 0 +shader_parameter/_vertex_spacing = 1.0 +shader_parameter/_vertex_density = 1.0 +shader_parameter/_region_size = 1024.0 +shader_parameter/_region_texel_size = 0.000976563 +shader_parameter/_region_map_size = 32 +shader_parameter/_region_map = PackedInt32Array(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0) diff --git a/addons/terrain_3d/extras/particle_example/terrain_3D_particles.gd b/addons/terrain_3d/extras/particle_example/terrain_3D_particles.gd new file mode 100644 index 0000000..46f7572 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/terrain_3D_particles.gd @@ -0,0 +1,237 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# +# This is an example of using a particle shader with Terrain3D. +# To use it, add `Terrain3DParticles.tscn` to your scene and assign the terrain. +# Then customize the settings, materials and shader to extend it and make it your own. + +@tool +extends Node3D + + +#region settings +## Auto set if attached as a child of a Terrain3D node +@export var terrain: Terrain3D: + set(value): + terrain = value + _create_grid() + + +## Distance between instances +@export_range(0.125, 2.0, 0.015625) var instance_spacing: float = 0.5: + set(value): + instance_spacing = clamp(round(value * 64.0) * 0.015625, 0.125, 2.0) + rows = maxi(int(cell_width / instance_spacing), 1) + amount = rows * rows + _set_offsets() + + +## Width of an individual cell of the grid +@export_range(8.0, 256.0, 1.0) var cell_width: float = 32.0: + set(value): + cell_width = clamp(value, 8.0, 256.0) + rows = maxi(int(cell_width / instance_spacing), 1) + amount = rows * rows + min_draw_distance = 1.0 + # Have to update aabb + if terrain and terrain.data: + var height_range: Vector2 = terrain.data.get_height_range() + var height: float = height_range[0] - height_range[1] + var aabb: AABB = AABB() + aabb.size = Vector3(cell_width, height, cell_width) + aabb.position = aabb.size * -0.5 + aabb.position.y = height_range[1] + for p in particle_nodes: + p.custom_aabb = aabb + _set_offsets() + + +## Grid width. Must be odd. +## Higher values cull slightly better, draw further out. +@export_range(1, 15, 2) var grid_width: int = 9: + set(value): + grid_width = value + particle_count = 1 + min_draw_distance = 1.0 + _create_grid() + + +@export_storage var rows: int = 1 + +@export_storage var amount: int = 1: + set(value): + amount = value + particle_count = value + last_pos = Vector3.ZERO + for p in particle_nodes: + p.amount = amount + + +@export_range(1, 256, 1) var process_fixed_fps: int = 30: + set(value): + process_fixed_fps = maxi(value, 1) + for p in particle_nodes: + p.fixed_fps = process_fixed_fps + p.preprocess = 1.0 / float(process_fixed_fps) + + +## Access to process material parameters +@export var process_material: ShaderMaterial + +## The mesh that each particle will render +@export var mesh: Mesh + +@export var shadow_mode: GeometryInstance3D.ShadowCastingSetting = ( + GeometryInstance3D.ShadowCastingSetting.SHADOW_CASTING_SETTING_ON): + set(value): + shadow_mode = value + for p in particle_nodes: + p.cast_shadow = value + + +## Override material for the particle mesh +@export_custom( + PROPERTY_HINT_RESOURCE_TYPE, + "BaseMaterial3D,ShaderMaterial") var mesh_material_override: Material: + set(value): + mesh_material_override = value + for p in particle_nodes: + p.material_override = mesh_material_override + + +@export_group("Info") +## The minimum distance that particles will be drawn upto +## If using fade out effects like pixel alpha this is the limit to use. +@export var min_draw_distance: float = 1.0: + set(value): + min_draw_distance = float(cell_width * grid_width) * 0.5 + + +## Displays current total particle count based on Cell Width and Instance Spacing +@export var particle_count: int = 1: + set(value): + particle_count = amount * grid_width * grid_width + +#endregion + + +var offsets: Array[Vector3] +var last_pos: Vector3 = Vector3.ZERO +var particle_nodes: Array[GPUParticles3D] + + +func _ready() -> void: + if not terrain: + var parent: Node = get_parent() + if parent is Terrain3D: + terrain = parent + _create_grid() + + +func _notification(what: int) -> void: + if what == NOTIFICATION_PREDELETE: + _destroy_grid() + + +func _physics_process(delta: float) -> void: + if terrain: + var camera: Camera3D = terrain.get_camera() + if camera: + if last_pos.distance_squared_to(camera.global_position) > 1.0: + var pos: Vector3 = camera.global_position.snapped(Vector3.ONE) + _position_grid(pos) + RenderingServer.material_set_param(process_material.get_rid(), "camera_position", pos ) + last_pos = camera.global_position + _update_process_parameters() + else: + set_physics_process(false) + + +func _create_grid() -> void: + _destroy_grid() + if not terrain: + return + set_physics_process(true) + _set_offsets() + var hr: Vector2 = terrain.data.get_height_range() + var height: float = hr.x - hr.y + var aabb: AABB = AABB() + aabb.size = Vector3(cell_width, height, cell_width) + aabb.position = aabb.size * -0.5 + aabb.position.y = hr.y + var half_grid: int = grid_width / 2 + # Iterating the array like this allows identifying grid position, in case setting + # different mesh or materials is desired for LODs etc. + for x in range(-half_grid, half_grid + 1): + for z in range(-half_grid, half_grid + 1): + #var ring: int = maxi(maxi(absi(x), absi(z)), 0) + var particle_node = GPUParticles3D.new() + particle_node.lifetime = 600.0 + particle_node.amount = amount + particle_node.explosiveness = 1.0 + particle_node.amount_ratio = 1.0 + particle_node.process_material = process_material + particle_node.draw_pass_1 = mesh + particle_node.speed_scale = 1.0 + particle_node.custom_aabb = aabb + particle_node.cast_shadow = shadow_mode + particle_node.fixed_fps = process_fixed_fps + # This prevent minor grid alignment errors when the camera is moving very fast + particle_node.preprocess = 1.0 / float(process_fixed_fps) + if mesh_material_override: + particle_node.material_override = mesh_material_override + particle_node.use_fixed_seed = true + if (x > -half_grid and z > -half_grid): # Use the same seed across all nodes + particle_node.seed = particle_nodes[0].seed + self.add_child(particle_node) + particle_node.emitting = true + particle_nodes.push_back(particle_node) + last_pos = Vector3.ZERO + + +func _set_offsets() -> void: + var half_grid: int = grid_width / 2 + offsets.clear() + for x in range(-half_grid, half_grid + 1): + for z in range(-half_grid, half_grid + 1): + var offset := Vector3( + float(x * rows) * instance_spacing, + 0.0, + float(z * rows) * instance_spacing + ) + offsets.append(offset) + + +func _destroy_grid() -> void: + for node: GPUParticles3D in particle_nodes: + if is_instance_valid(node): + node.queue_free() + particle_nodes.clear() + + +func _position_grid(pos: Vector3) -> void: + for i in particle_nodes.size(): + var node: GPUParticles3D = particle_nodes[i] + var snap = Vector3(pos.x, 0, pos.z).snapped(Vector3.ONE) + offsets[i] + node.global_position = (snap / instance_spacing).round() * instance_spacing + node.reset_physics_interpolation() + node.restart(true) # keep the same seed. + + +func _update_process_parameters() -> void: + if process_material: + var process_rid: RID = process_material.get_rid() + if terrain and process_rid.is_valid(): + RenderingServer.material_set_param(process_rid, "_background_mode", terrain.material.world_background) + RenderingServer.material_set_param(process_rid, "_vertex_spacing", terrain.vertex_spacing) + RenderingServer.material_set_param(process_rid, "_vertex_density", 1.0 / terrain.vertex_spacing) + RenderingServer.material_set_param(process_rid, "_region_size", terrain.region_size) + RenderingServer.material_set_param(process_rid, "_region_texel_size", 1.0 / terrain.region_size) + RenderingServer.material_set_param(process_rid, "_region_map_size", 32) + RenderingServer.material_set_param(process_rid, "_region_map", terrain.data.get_region_map()) + RenderingServer.material_set_param(process_rid, "_region_locations", terrain.data.get_region_locations()) + RenderingServer.material_set_param(process_rid, "_height_maps", terrain.data.get_height_maps_rid()) + RenderingServer.material_set_param(process_rid, "_control_maps", terrain.data.get_control_maps_rid()) + RenderingServer.material_set_param(process_rid, "_color_maps", terrain.data.get_color_maps_rid()) + RenderingServer.material_set_param(process_rid, "instance_spacing", instance_spacing) + RenderingServer.material_set_param(process_rid, "instance_rows", rows) + RenderingServer.material_set_param(process_rid, "max_dist", min_draw_distance) diff --git a/addons/terrain_3d/extras/particle_example/terrain_3D_particles.gd.uid b/addons/terrain_3d/extras/particle_example/terrain_3D_particles.gd.uid new file mode 100644 index 0000000..b365859 --- /dev/null +++ b/addons/terrain_3d/extras/particle_example/terrain_3D_particles.gd.uid @@ -0,0 +1 @@ +uid://bp7r4ppgq1m0g diff --git a/addons/terrain_3d/extras/shaders/hex_grid.gdshaderinc b/addons/terrain_3d/extras/shaders/hex_grid.gdshaderinc new file mode 100644 index 0000000..2163989 --- /dev/null +++ b/addons/terrain_3d/extras/shaders/hex_grid.gdshaderinc @@ -0,0 +1,67 @@ +// Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +// This shader snippet draws a hex grid + +// To use it, add this line to the top of your shader: +// #include "res://addons/terrain_3d/extras/shaders/hex_grid.gdshaderinc" + +// And this line at the bottom of your shader: +// draw_hex_grid(uv2, _region_texel_size, w_normal, ALBEDO); + +mat2 rotate2d(float _angle) { + return mat2(vec2(cos(_angle),-sin(_angle)), vec2(sin(_angle), cos(_angle))); +} + +void draw_hex_grid(vec2 uv, float texel_size, vec3 normal, inout vec3 albedo) { + float hex_size = 0.02; + float line_thickness = 0.04; + + vec2 guv = (uv - vec2(0.5 * texel_size)) / hex_size; + + // Convert UV to axial hex coordinates + float q = (sqrt(3.0) / 3.0 * guv.x - 1.0 / 3.0 * guv.y); + float r = (2.0 / 3.0 * guv.y); + + // Cube coordinates for the hex (q, r, -q-r) + float x = q; + float z = r; + float y = -x - z; + + // Round to the nearest hex center + vec3 rounded = round(vec3(x, y, z)); + vec3 diff = abs(vec3(x, y, z) - rounded); + + // Fix rounding errors + if (diff.x > diff.y && diff.x > diff.z) { + rounded.x = -rounded.y - rounded.z; + } else if (diff.y > diff.z) { + rounded.y = -rounded.x - rounded.z; + } else { + rounded.z = -rounded.x - rounded.y; + } + + // Find the hex center in UV space + vec2 hex_center = vec2( + sqrt(3.0) * rounded.x + sqrt(3.0) / 2.0 * rounded.z, + 3.0 / 2.0 * rounded.z + ); + + // Relative position within the hex + vec2 local_pos = guv - hex_center; + vec2 lines_uv = local_pos; + float line = 1.0; + + for (int i = 0; i < 6; i++) { + vec2 luv = lines_uv * rotate2d(radians(60.0 * float(i) + 30.0)); + float dist = abs(dot(luv + vec2(0.90), vec2(0.0, 1.0))); + line = min(line, dist); + } + + // Filter lines by slope + float slope = 4.; // Can also assign to (auto_slope * 4.) to match grass placement + float slope_factor = clamp(dot(vec3(0., 1., 0.), slope * (normal - 1.) + 1.), 0., 1.); + + // Draw hex grid + albedo = mix(albedo, vec3(1.0), smoothstep(line_thickness + 0.02, line_thickness, line) * slope_factor); + // Draw Hex center dot + albedo = mix(albedo, vec3(0.0, 0.5, 0.5), smoothstep(0.11, 0.10, length(local_pos)) * slope_factor); +} \ No newline at end of file diff --git a/addons/terrain_3d/extras/shaders/hex_grid.gdshaderinc.uid b/addons/terrain_3d/extras/shaders/hex_grid.gdshaderinc.uid new file mode 100644 index 0000000..feee7f6 --- /dev/null +++ b/addons/terrain_3d/extras/shaders/hex_grid.gdshaderinc.uid @@ -0,0 +1 @@ +uid://mri8pfoj2mfk diff --git a/addons/terrain_3d/extras/shaders/lightweight.gdshader b/addons/terrain_3d/extras/shaders/lightweight.gdshader new file mode 100644 index 0000000..5587f0e --- /dev/null +++ b/addons/terrain_3d/extras/shaders/lightweight.gdshader @@ -0,0 +1,367 @@ +shader_type spatial; +render_mode blend_mix,depth_draw_opaque,cull_back,diffuse_burley,specular_schlick_ggx,skip_vertex_transform; + +/* This is an example stripped down shader with maximum performance in mind. + * Only Autoshader/Base/Over/Blend/Holes/Colormap are supported. + * All terrain normal calculations take place in vetex(). + * + * Control map indices are processed such that each ID only requires reading ONCE. + * The following features: projection, detiling, and paintable rotation / scale + * cannot work with this method, without the additional samples required for blending + * between same ID textures with different values across indices. + */ + +// Defined Constants +#define SKIP_PASS 0 +#define VERTEX_PASS 1 +#define FRAGMENT_PASS 2 +#define COLOR_MAP vec4(1.0, 1.0, 1.0, 0.5) +#define DIV_255 0.003921568627450 // 1. / 255. + +// Inline Functions +#define DECODE_BLEND(control) float(control >> 14u & 0xFFu) * DIV_255 +#define DECODE_AUTO(control) bool(control & 0x1u) +#define DECODE_BASE(control) int(control >> 27u & 0x1Fu) +#define DECODE_OVER(control) int(control >> 22u & 0x1Fu) +#define DECODE_HOLE(control) bool(control >>2u & 0x1u) + +#if CURRENT_RENDERER == RENDERER_COMPATIBILITY + #define fma(a, b, c) ((a) * (b) + (c)) + #define dFdxCoarse(a) dFdx(a) + #define dFdyCoarse(a) dFdy(a) +#endif + +// Private uniforms +uniform vec3 _camera_pos = vec3(0.f); +uniform float _mesh_size = 48.f; +uniform uint _background_mode = 1u; // NONE = 0, FLAT = 1, NOISE = 2 +uniform uint _mouse_layer = 0x80000000u; // Layer 32 +uniform float _vertex_spacing = 1.0; +uniform float _vertex_density = 1.0; // = 1./_vertex_spacing +uniform float _region_size = 1024.0; +uniform float _region_texel_size = 0.0009765625; // = 1./region_size +uniform int _region_map_size = 32; +uniform int _region_map[1024]; +uniform vec2 _region_locations[1024]; +uniform float _texture_normal_depth_array[32]; +uniform float _texture_ao_strength_array[32]; +uniform float _texture_roughness_mod_array[32]; +uniform float _texture_uv_scale_array[32]; +uniform vec4 _texture_color_array[32]; +uniform highp sampler2DArray _height_maps : repeat_disable; +uniform highp sampler2DArray _control_maps : repeat_disable; +uniform highp sampler2DArray _color_maps : source_color, filter_linear_mipmap_anisotropic, repeat_disable; +uniform highp sampler2DArray _texture_array_albedo : source_color, filter_linear_mipmap_anisotropic, repeat_enable; +uniform highp sampler2DArray _texture_array_normal : hint_normal, filter_linear_mipmap_anisotropic, repeat_enable; + +// Public uniforms +uniform bool enable_texturing = true; +uniform float blend_sharpness : hint_range(0, 1) = 0.5; +uniform bool flat_terrain_normals = false; +// Autoshader +uniform float auto_slope : hint_range(0, 10) = 1.0; +uniform float auto_height_reduction : hint_range(0, 1) = 0.1; +uniform int auto_base_texture : hint_range(0, 31) = 0; +uniform int auto_overlay_texture : hint_range(0, 31) = 1; +// Macro Variation +uniform bool enable_macro_variation = true; +uniform vec3 macro_variation1 : source_color = vec3(1.); +uniform vec3 macro_variation2 : source_color = vec3(1.); +uniform float macro_variation_slope : hint_range(0., 1.) = 0.333; +uniform highp sampler2D noise_texture : source_color, filter_linear_mipmap_anisotropic, repeat_enable; +uniform float noise1_scale : hint_range(0.001, 1.) = 0.04; // Used for macro variation 1. Scaled up 10x +uniform float noise1_angle : hint_range(0, 6.283) = 0.; +uniform vec2 noise1_offset = vec2(0.5); +uniform float noise2_scale : hint_range(0.001, 1.) = 0.076; // Used for macro variation 2. Scaled up 10x + +// Varyings & Types +varying vec3 v_normal; +varying vec3 v_vertex; +varying mat3 TBN; + +//////////////////////// +// Vertex +//////////////////////// + +// Takes in world space XZ (UV) coordinates & search depth (only applicable for background mode none) +// Returns ivec3 with: +// XY: (0 to _region_size - 1) coordinates within a region +// Z: layer index used for texturearrays, -1 if not in a region +ivec3 get_index_coord(const vec2 uv, const int search) { + vec2 r_uv = round(uv); + vec2 o_uv = mod(r_uv,_region_size); + ivec2 pos; + int bounds, layer_index = -1; + for (int i = -1; i < clamp(search, SKIP_PASS, FRAGMENT_PASS); i++) { + if ((layer_index == -1 && _background_mode == 0u ) || i < 0) { + r_uv -= i == -1 ? vec2(0.0) : vec2(float(o_uv.x <= o_uv.y), float(o_uv.y <= o_uv.x)); + pos = ivec2(floor((r_uv) * _region_texel_size)) + (_region_map_size / 2); + bounds = int(uint(pos.x | pos.y) < uint(_region_map_size)); + layer_index = (_region_map[ pos.y * _region_map_size + pos.x ] * bounds - 1); + } + } + return ivec3(ivec2(mod(r_uv,_region_size)), layer_index); +} + +// Takes in descaled (world_space / region_size) world to region space XZ (UV2) coordinates, returns vec3 with: +// XY: (0. to 1.) coordinates within a region +// Z: layer index used for texturearrays, -1 if not in a region +vec3 get_index_uv(const vec2 uv2) { + ivec2 pos = ivec2(floor(uv2)) + (_region_map_size / 2); + int bounds = int(uint(pos.x | pos.y) < uint(_region_map_size)); + int layer_index = _region_map[ pos.y * _region_map_size + pos.x ] * bounds - 1; + return vec3(uv2 - _region_locations[layer_index], float(layer_index)); +} + +void vertex() { + // Get vertex of flat plane in world coordinates and set world UV + v_vertex = (MODEL_MATRIX * vec4(VERTEX, 1.0)).xyz; + + // Camera distance to vertex on flat plane + float v_vertex_xz_dist = length(v_vertex.xz - _camera_pos.xz); + + // Geomorph vertex, set end and start for linear height interpolate + float scale = MODEL_MATRIX[0][0]; + float vertex_lerp = smoothstep(0.55, 0.95, (v_vertex_xz_dist / scale - _mesh_size - 4.0) / (_mesh_size - 2.0)); + vec2 v_fract = fract(VERTEX.xz * 0.5) * 2.0; + // For LOD0 morph from a regular grid to an alternating grid to align with LOD1+ + vec2 shift = (scale < _vertex_spacing + 1e-6) ? // LOD0 or not + // Shift from regular to symetric + mix(v_fract, vec2(v_fract.x, -v_fract.y), + round(fract(round(mod(v_vertex.z * _vertex_density, 4.0)) * + round(mod(v_vertex.x * _vertex_density, 4.0)) * 0.25)) + ) : + // Symetric shift + v_fract * round((fract(v_vertex.xz * 0.25 / scale) - 0.5) * 4.0); + vec2 start_pos = v_vertex.xz * _vertex_density; + vec2 end_pos = (v_vertex.xz - shift * scale) * _vertex_density; + v_vertex.xz -= shift * scale * vertex_lerp; + + // UV coordinates in world space. Values are 0 to _region_size within regions + UV = v_vertex.xz * _vertex_density; + + // UV coordinates in region space + texel offset. Values are 0 to 1 within regions + UV2 = fma(UV, vec2(_region_texel_size), vec2(0.5 * _region_texel_size)); + + // Discard vertices for Holes. 1 lookup + ivec3 v_region = get_index_coord(start_pos, VERTEX_PASS); + uint control = floatBitsToUint(texelFetch(_control_maps, v_region, 0)).r; + bool hole = DECODE_HOLE(control); + + // Show holes to all cameras except mouse camera (on exactly 1 layer) + if ( !(CAMERA_VISIBLE_LAYERS == _mouse_layer) && + (hole || (_background_mode == 0u && v_region.z == -1))) { + v_vertex.x = 0. / 0.; + } else { + // Set final vertex height & calculate vertex normals. 3 lookups + ivec3 uv_a = get_index_coord(start_pos, VERTEX_PASS); + ivec3 uv_b = get_index_coord(end_pos, VERTEX_PASS); + float h = mix(texelFetch(_height_maps, uv_a, 0).r,texelFetch(_height_maps, uv_b, 0).r,vertex_lerp); + v_vertex.y = h; + + // Vertex normals + float u = mix(texelFetch(_height_maps, get_index_coord(start_pos + vec2(1,0), VERTEX_PASS), 0).r, + texelFetch(_height_maps, get_index_coord(end_pos + vec2(1,0), VERTEX_PASS), 0).r, vertex_lerp); + float v = mix(texelFetch(_height_maps, get_index_coord(start_pos + vec2(0,1), VERTEX_PASS), 0).r, + texelFetch(_height_maps, get_index_coord(end_pos + vec2(0,1), VERTEX_PASS), 0).r, vertex_lerp); + + v_normal = normalize(vec3(h - u, _vertex_spacing, h - v)); + } + + // Convert model space to view space w/ skip_vertex_transform render mode + VERTEX = (VIEW_MATRIX * vec4(v_vertex, 1.0)).xyz; + + // Apply terrain normals + vec3 w_tangent = normalize(cross(v_normal, vec3(0.0, 0.0, 1.0))); + vec3 w_binormal = normalize(cross(v_normal, w_tangent)); + TBN = mat3(w_tangent, w_binormal, v_normal); + + NORMAL = normalize((VIEW_MATRIX * vec4(v_normal, 0.0)).xyz); + BINORMAL = normalize((VIEW_MATRIX * vec4(w_binormal, 0.0)).xyz); + TANGENT = normalize((VIEW_MATRIX * vec4(w_tangent, 0.0)).xyz); +} + +//////////////////////// +// Fragment +//////////////////////// + +mat2 rotate_plane(float angle) { + float c = cos(angle), s = sin(angle); + return mat2(vec2(c, s), vec2(-s, c)); +} + +void fragment() { + // Recover UVs + vec2 uv = UV; + vec2 uv2 = UV2; + + // Lookup offsets, ID and blend weight + vec3 region_uv = get_index_uv(uv2); + const vec3 offsets = vec3(0, 1, 2); + vec2 index_id = floor(uv); + vec2 weight = fract(uv); + vec2 invert = 1.0 - weight; + vec4 weights = vec4( + invert.x * weight.y, // 0 + weight.x * weight.y, // 1 + weight.x * invert.y, // 2 + invert.x * invert.y // 3 + ); + + ivec3 index[4]; + // control map lookups, used for some normal lookups as well + index[0] = get_index_coord(index_id + offsets.xy, FRAGMENT_PASS); + index[1] = get_index_coord(index_id + offsets.yy, FRAGMENT_PASS); + index[2] = get_index_coord(index_id + offsets.yx, FRAGMENT_PASS); + index[3] = get_index_coord(index_id + offsets.xx, FRAGMENT_PASS); + + vec3 base_ddx = dFdxCoarse(v_vertex); + vec3 base_ddy = dFdyCoarse(v_vertex); + vec4 base_dd = vec4(base_ddx.xz, base_ddy.xz); + // Calculate the effective mipmap for regionspace + float region_mip = log2(max(length(base_ddx.xz), length(base_ddy.xz)) * _vertex_density); + + // Color map + vec4 color_map = region_uv.z > -1.0 ? textureLod(_color_maps, region_uv, region_mip) : COLOR_MAP; + + if (flat_terrain_normals) { + NORMAL = normalize(cross(dFdyCoarse(VERTEX),dFdxCoarse(VERTEX))); + TANGENT = normalize(cross(NORMAL, VIEW_MATRIX[2].xyz)); + BINORMAL = normalize(cross(NORMAL, TANGENT)); + } + + // defaults + vec4 normal_rough = vec4(0., 1., 0., 0.7); + vec4 albedo_height = vec4(1.); + float normal_map_depth = 1.; + float ao_strength = 0.; + + if (enable_texturing) { + // set to zero before accumulation + albedo_height = vec4(0.); + normal_rough = vec4(0.); + normal_map_depth = 0.; + ao_strength = 0.; + float total_weight = 0.; + float sharpness = fma(56., blend_sharpness, 8.); + + // Get index control data + // 1 - 4 lookups + uvec4 control = floatBitsToUint(vec4( + texelFetch(_control_maps, index[0], 0).r, + texelFetch(_control_maps, index[1], 0).r, + texelFetch(_control_maps, index[2], 0).r, + texelFetch(_control_maps, index[3], 0).r)); + + { + // Auto blend calculation + float auto_blend = clamp(fma(auto_slope * 2.0, (v_normal.y - 1.0), 1.0) + - auto_height_reduction * 0.01 * v_vertex.y, 0.0, 1.0); + // Enable Autoshader if outside regions or painted in regions, otherwise manual painted + uvec4 is_auto = (control & uvec4(0x1u)) | uvec4(uint(region_uv.z < 0.0)); + uint u_auto = + ((uint(auto_base_texture) & 0x1Fu) << 27u) | + ((uint(auto_overlay_texture) & 0x1Fu) << 22u) | + ((uint(fma(auto_blend, 255.0 , 0.5)) & 0xFFu) << 14u); + control = control * (1u - is_auto) + u_auto * is_auto; + } + + + // Texture weights + // Vectorised Deocode of all texture IDs, then swizzle to per index mapping. + ivec4 t_id[2] = {ivec4(control >> uvec4(27u) & uvec4(0x1Fu)), + ivec4(control >> uvec4(22u) & uvec4(0x1Fu))}; + ivec2 texture_ids[4] = ivec2[4]( + ivec2(t_id[0].x, t_id[1].x), + ivec2(t_id[0].y, t_id[1].y), + ivec2(t_id[0].z, t_id[1].z), + ivec2(t_id[0].w, t_id[1].w)); + + // interpolated weights. + vec4 weights_id_1 = vec4(control >> uvec4(14u) & uvec4(0xFFu)) * DIV_255 * weights; + vec4 weights_id_0 = weights - weights_id_1; + vec2 t_weights[4] = {vec2(0), vec2(0), vec2(0), vec2(0)}; + for (int i = 0; i < 4; i++) { + vec2 w_0 = vec2(weights_id_0[i]); + vec2 w_1 = vec2(weights_id_1[i]); + ivec2 id_0 = texture_ids[i].xx; + ivec2 id_1 = texture_ids[i].yy; + t_weights[0] += fma(w_0, vec2(equal(texture_ids[0], id_0)), w_1 * vec2(equal(texture_ids[0], id_1))); + t_weights[1] += fma(w_0, vec2(equal(texture_ids[1], id_0)), w_1 * vec2(equal(texture_ids[1], id_1))); + t_weights[2] += fma(w_0, vec2(equal(texture_ids[2], id_0)), w_1 * vec2(equal(texture_ids[2], id_1))); + t_weights[3] += fma(w_0, vec2(equal(texture_ids[3], id_0)), w_1 * vec2(equal(texture_ids[3], id_1))); + } + + + // Process control data to determine each texture ID present, so that only + // a single sample will be needed later, as all id are contiguous when features + // like detiling, scale, rotation, and projection are not present. + // 2 to 16 lookups + uint id_read = 0u; // 1 bit per possible ID + // world normal adjustment requires acess to previous id during next iteration + vec4 nrm = vec4(0.0, 1.0, 0.0, 1.0); + // adjust uv scale to account for vertex spacing + uv *= _vertex_spacing; + for (int i = 0; i < 4; i++) { + for (int t = 0; t < 2; t++) { + int id = texture_ids[i][t]; + uint mask = 1u << uint(id); + if ((id_read & mask) == 0u) { + // Set this id bit + id_read |= mask; + float id_w = t_weights[i][t]; + float id_scale = _texture_uv_scale_array[id] * 0.5; + vec2 id_uv = fma(uv, vec2(id_scale), vec2(0.5)); + vec4 i_dd = base_dd * id_scale; + vec4 alb = textureGrad(_texture_array_albedo, vec3(id_uv, float(id)), i_dd.xy, i_dd.zw); + float world_normal = clamp(fma(TBN[0], vec3(nrm.x), fma(TBN[1], vec3(nrm.z), v_normal * vec3(nrm.y))).y, 0., 1.); + nrm = textureGrad(_texture_array_normal, vec3(id_uv, float(id)), i_dd.xy, i_dd.zw); + alb.rgb *= _texture_color_array[id].rgb; + nrm.a = clamp(nrm.a + _texture_roughness_mod_array[id], 0., 1.); + // Unpack normal map for blending. + nrm.xyz = fma(nrm.xzy, vec3(2.0), vec3(-1.0)); + // height weight modifier. + float id_weight = exp2(sharpness * log2(id_w + alb.a * world_normal)); + albedo_height += alb * id_weight; + normal_rough += nrm * id_weight; + normal_map_depth += _texture_normal_depth_array[id] * id_weight; + ao_strength += _texture_ao_strength_array[id] * id_weight; + total_weight += id_weight; + } + } + } + // normalize accumulated values back to 0.0 - 1.0 range. + float weight_inv = 1.0 / total_weight; + albedo_height *= weight_inv; + normal_rough *= weight_inv; + normal_map_depth *= weight_inv; + ao_strength *= weight_inv; + } + + // Macro variation. 2 lookups + vec3 macrov = vec3(1.); + if (enable_macro_variation) { + float noise1 = texture(noise_texture, (uv * noise1_scale * .1 + noise1_offset) * rotate_plane(noise1_angle)).r; + float noise2 = texture(noise_texture, uv * noise2_scale * .1).r; + macrov = mix(macro_variation1, vec3(1.), noise1); + macrov *= mix(macro_variation2, vec3(1.), noise2); + macrov = mix(vec3(1.0), macrov, clamp(v_normal.y + macro_variation_slope, 0., 1.)); + } + + // Wetness/roughness modifier, converting 0 - 1 range to -1 to 1 range, clamped to Godot roughness values + float roughness = clamp(fma(color_map.a - 0.5, 2.0, normal_rough.a), 0., 1.); + + // Apply PBR + ALBEDO = albedo_height.rgb * color_map.rgb * macrov; + ROUGHNESS = roughness; + SPECULAR = 1. - normal_rough.a; + // Repack final normal map value. + NORMAL_MAP = fma(normalize(normal_rough.xzy), vec3(0.5), vec3(0.5)); + NORMAL_MAP_DEPTH = normal_map_depth; + + // Higher and/or facing up, less occluded. + float ao = (1. - (albedo_height.a * log(2.1 - ao_strength))) * (1. - normal_rough.y); + AO = clamp(1. - ao * ao_strength, albedo_height.a, 1.0); + AO_LIGHT_AFFECT = (1.0 - albedo_height.a) * clamp(normal_rough.y, 0., 1.); + +} diff --git a/addons/terrain_3d/extras/shaders/lightweight.gdshader.uid b/addons/terrain_3d/extras/shaders/lightweight.gdshader.uid new file mode 100644 index 0000000..b4cd1db --- /dev/null +++ b/addons/terrain_3d/extras/shaders/lightweight.gdshader.uid @@ -0,0 +1 @@ +uid://bbx2xhanpq5l3 diff --git a/addons/terrain_3d/extras/shaders/minimum.gdshader b/addons/terrain_3d/extras/shaders/minimum.gdshader new file mode 100644 index 0000000..e667776 --- /dev/null +++ b/addons/terrain_3d/extras/shaders/minimum.gdshader @@ -0,0 +1,232 @@ +// Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +// This shader is the minimum needed to allow the terrain to function, without any texturing. + +shader_type spatial; +render_mode blend_mix,depth_draw_opaque,cull_back,diffuse_burley,specular_schlick_ggx,skip_vertex_transform; + +// Defined Constants +#define SKIP_PASS 0 +#define VERTEX_PASS 1 +#define FRAGMENT_PASS 2 + +#if CURRENT_RENDERER == RENDERER_COMPATIBILITY + #define fma(a, b, c) ((a) * (b) + (c)) + #define dFdxCoarse(a) dFdx(a) + #define dFdyCoarse(a) dFdy(a) +#endif + +// Private uniforms +// Commented uniforms aren't needed for this shader, but are available for your own needs. +uniform vec3 _camera_pos = vec3(0.f); +uniform float _mesh_size = 48.f; +uniform uint _background_mode = 1u; // NONE = 0, FLAT = 1, NOISE = 2 +uniform uint _mouse_layer = 0x80000000u; // Layer 32 +uniform float _vertex_spacing = 1.0; +uniform float _vertex_density = 1.0; // = 1/_vertex_spacing +uniform float _region_size = 1024.0; +uniform float _region_texel_size = 0.0009765625; // = 1/1024 +uniform int _region_map_size = 32; +uniform int _region_map[1024]; +//uniform vec2 _region_locations[1024]; +//uniform float _texture_uv_scale_array[32]; +//uniform float _texture_detile_array[32]; +//uniform vec4 _texture_color_array[32]; +uniform highp sampler2DArray _height_maps : repeat_disable; +uniform highp sampler2DArray _control_maps : repeat_disable; +//uniform highp sampler2DArray _color_maps : source_color, filter_linear_mipmap_anisotropic, repeat_disable; +//uniform highp sampler2DArray _texture_array_albedo : source_color, filter_linear_mipmap_anisotropic, repeat_enable; +//uniform highp sampler2DArray _texture_array_normal : hint_normal, filter_linear_mipmap_anisotropic, repeat_enable; + +// Public Uniforms +uniform bool flat_terrain_normals = false; + +// Varyings & Types +// Some are required for editor functions +varying float v_vertex_xz_dist; +varying vec3 v_vertex; + +uniform vec3 color_low : source_color = vec3(0.055, 0.216, 0.11); +uniform vec3 color_high : source_color = vec3(0.5, 0.4, 0.2); +uniform float height_split =1.0; +varying float height; +uniform float height_scale = 1.0; + +//////////////////////// +// Vertex +//////////////////////// + +// Takes in world space XZ (UV) coordinates & search depth (only applicable for background mode none) +// Returns ivec3 with: +// XY: (0 to _region_size - 1) coordinates within a region +// Z: layer index used for texturearrays, -1 if not in a region +ivec3 get_index_coord(const vec2 uv, const int search) { + vec2 r_uv = round(uv); + vec2 o_uv = mod(r_uv,_region_size); + ivec2 pos; + int bounds, layer_index = -1; + for (int i = -1; i < clamp(search, SKIP_PASS, FRAGMENT_PASS); i++) { + if ((layer_index == -1 && _background_mode == 0u ) || i < 0) { + r_uv -= i == -1 ? vec2(0.0) : vec2(float(o_uv.x <= o_uv.y), float(o_uv.y <= o_uv.x)); + pos = ivec2(floor((r_uv) * _region_texel_size)) + (_region_map_size / 2); + bounds = int(uint(pos.x | pos.y) < uint(_region_map_size)); + layer_index = (_region_map[ pos.y * _region_map_size + pos.x ] * bounds - 1); + } + } + return ivec3(ivec2(mod(r_uv,_region_size)), layer_index); +} + +void vertex() { + // Get vertex of flat plane in world coordinates and set world UV + v_vertex = (MODEL_MATRIX * vec4(VERTEX, 1.0)).xyz; + + // Camera distance to vertex on flat plane + v_vertex_xz_dist = length(v_vertex.xz - _camera_pos.xz); + + // Geomorph vertex, set end and start for linear height interpolate + float scale = MODEL_MATRIX[0][0]; + float vertex_lerp = smoothstep(0.55, 0.95, (v_vertex_xz_dist / scale - _mesh_size - 4.0) / (_mesh_size - 2.0)); + vec2 v_fract = fract(VERTEX.xz * 0.5) * 2.0; + // For LOD0 morph from a regular grid to an alternating grid to align with LOD1+ + vec2 shift = (scale < _vertex_spacing + 1e-6) ? // LOD0 or not + // Shift from regular to symetric + mix(v_fract, vec2(v_fract.x, -v_fract.y), + round(fract(round(mod(v_vertex.z * _vertex_density, 4.0)) * + round(mod(v_vertex.x * _vertex_density, 4.0)) * 0.25)) + ) : + // Symetric shift + v_fract * round((fract(v_vertex.xz * 0.25 / scale) - 0.5) * 4.0); + vec2 start_pos = v_vertex.xz * _vertex_density; + vec2 end_pos = (v_vertex.xz - shift * scale) * _vertex_density; + v_vertex.xz -= shift * scale * vertex_lerp; + + // UV coordinates in world space. Values are 0 to _region_size within regions + UV = v_vertex.xz * _vertex_density; + + // UV coordinates in region space + texel offset. Values are 0 to 1 within regions + UV2 = fma(UV, vec2(_region_texel_size), vec2(0.5 * _region_texel_size)); + + // Discard vertices for Holes. 1 lookup + ivec3 v_region = get_index_coord(start_pos, VERTEX_PASS); + uint control = floatBitsToUint(texelFetch(_control_maps, v_region, 0)).r; + bool hole = bool(control >>2u & 0x1u); + + // Show holes to all cameras except mouse camera (on exactly 1 layer) + if ( !(CAMERA_VISIBLE_LAYERS == _mouse_layer) && + (hole || (_background_mode == 0u && v_region.z < 0))) { + v_vertex.x = 0. / 0.; + } else { + // Interpolate Geomorph Start & End, set height. 2 Lookups. + ivec3 uv_a = get_index_coord(start_pos, VERTEX_PASS); + ivec3 uv_b = get_index_coord(end_pos, VERTEX_PASS); + float h = mix(texelFetch(_height_maps, uv_a, 0).r, texelFetch(_height_maps, uv_b, 0).r, vertex_lerp); + v_vertex.y = h; + } + height = v_vertex.y * height_scale; + + // Convert model space to view space w/ skip_vertex_transform render mode + VERTEX = (VIEW_MATRIX * vec4(v_vertex, 1.0)).xyz; + NORMAL = normalize((MODELVIEW_MATRIX * vec4(NORMAL, 0.0)).xyz); + BINORMAL = normalize((MODELVIEW_MATRIX * vec4(BINORMAL, 0.0)).xyz); + TANGENT = normalize((MODELVIEW_MATRIX * vec4(TANGENT, 0.0)).xyz); +} + +//////////////////////// +// Fragment +//////////////////////// + +void fragment() { + // Recover UVs + vec2 uv = UV; + //vec2 uv2 = UV2; + + // Lookup offsets, ID and blend weight + const vec3 offsets = vec3(0, 1, 2); + vec2 index_id = floor(uv); + vec2 weight = fract(uv); + vec2 invert = 1.0 - weight; + vec4 weights = vec4( + invert.x * weight.y, // 0 + weight.x * weight.y, // 1 + weight.x * invert.y, // 2 + invert.x * invert.y // 3 + ); + + vec3 base_ddx = dFdxCoarse(v_vertex); + vec3 base_ddy = dFdyCoarse(v_vertex); + //vec4 base_derivatives = vec4(base_ddx.xz, base_ddy.xz); + // Calculate the effective mipmap for regionspace, and if less than 0, + // skip all extra lookups required for bilinear blend. + float region_mip = log2(max(length(base_ddx.xz), length(base_ddy.xz)) * _vertex_density); + bool bilerp = region_mip < 0.0; + + ivec3 index[4]; + // control map lookups, used for some normal lookups as well + index[0] = get_index_coord(index_id + offsets.xy, FRAGMENT_PASS); + index[1] = get_index_coord(index_id + offsets.yy, FRAGMENT_PASS); + index[2] = get_index_coord(index_id + offsets.yx, FRAGMENT_PASS); + index[3] = get_index_coord(index_id + offsets.xx, FRAGMENT_PASS); + + // Terrain normals + vec3 index_normal[4]; + float h[4]; + // allows additional derivatives, eg world noise, brush previews etc + float u = 0.0; + float v = 0.0; + + // Re-use index[] for the first lookups, skipping some math. 3 lookups + h[3] = texelFetch(_height_maps, index[3], 0).r; // 0 (0,0) + h[2] = texelFetch(_height_maps, index[2], 0).r; // 1 (1,0) + h[0] = texelFetch(_height_maps, index[0], 0).r; // 2 (0,1) + index_normal[3] = normalize(vec3(h[3] - h[2] + u, _vertex_spacing, h[3] - h[0] + v)); + + // Set flat world normal - overriden if bilerp is true + vec3 w_normal = index_normal[3]; + + // Branching smooth normals must be done seperatley for correct normals at all 4 index ids + if (bilerp) { + // 5 lookups + // Fetch the additional required height values for smooth normals + h[1] = texelFetch(_height_maps, index[1], 0).r; // 3 (1,1) + float h_4 = texelFetch(_height_maps, get_index_coord(index_id + offsets.yz, FRAGMENT_PASS), 0).r; // 4 (1,2) + float h_5 = texelFetch(_height_maps, get_index_coord(index_id + offsets.zy, FRAGMENT_PASS), 0).r; // 5 (2,1) + float h_6 = texelFetch(_height_maps, get_index_coord(index_id + offsets.zx, FRAGMENT_PASS), 0).r; // 6 (2,0) + float h_7 = texelFetch(_height_maps, get_index_coord(index_id + offsets.xz, FRAGMENT_PASS), 0).r; // 7 (0,2) + + // Calculate the normal for the remaining index ids. + index_normal[0] = normalize(vec3(h[0] - h[1] + u, _vertex_spacing, h[0] - h_7 + v)); + index_normal[1] = normalize(vec3(h[1] - h_5 + u, _vertex_spacing, h[1] - h_4 + v)); + index_normal[2] = normalize(vec3(h[2] - h_6 + u, _vertex_spacing, h[2] - h[1] + v)); + + // Set interpolated world normal + w_normal = + index_normal[0] * weights[0] + + index_normal[1] * weights[1] + + index_normal[2] * weights[2] + + index_normal[3] * weights[3] ; + } + + // Apply terrain normals + vec3 w_tangent = normalize(cross(w_normal, vec3(0.0, 0.0, 1.0))); + vec3 w_binormal = normalize(cross(w_normal, w_tangent)); + NORMAL = mat3(VIEW_MATRIX) * w_normal; + TANGENT = mat3(VIEW_MATRIX) * w_tangent; + BINORMAL = mat3(VIEW_MATRIX) * w_binormal; + + if (flat_terrain_normals) { + NORMAL = normalize(cross(dFdyCoarse(VERTEX),dFdxCoarse(VERTEX))); + TANGENT = normalize(cross(NORMAL, VIEW_MATRIX[2].xyz)); + BINORMAL = normalize(cross(NORMAL, TANGENT)); + } + + // Apply PBR + ROUGHNESS = .7; + //float t = smoothstep(height_split - 0.5, height_split + 0.5, height); + //ALBEDO = mix(color_low, color_high, t); + + float level = floor(v_vertex.y * 2.0); + + if (level >= 1.5) + ALBEDO = color_high; + else + ALBEDO = color_low; +} diff --git a/addons/terrain_3d/extras/shaders/minimum.gdshader.uid b/addons/terrain_3d/extras/shaders/minimum.gdshader.uid new file mode 100644 index 0000000..8d390b2 --- /dev/null +++ b/addons/terrain_3d/extras/shaders/minimum.gdshader.uid @@ -0,0 +1 @@ +uid://01qauauvd8aa diff --git a/addons/terrain_3d/icons/autoshader.svg b/addons/terrain_3d/icons/autoshader.svg new file mode 100644 index 0000000..5e6ee1a --- /dev/null +++ b/addons/terrain_3d/icons/autoshader.svg @@ -0,0 +1,194 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/addons/terrain_3d/icons/autoshader.svg.import b/addons/terrain_3d/icons/autoshader.svg.import new file mode 100644 index 0000000..f7ce72b --- /dev/null +++ b/addons/terrain_3d/icons/autoshader.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://bdwolwswwy8wr" 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b/addons/terrain_3d/icons/navigation.svg @@ -0,0 +1,42 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/addons/terrain_3d/icons/navigation.svg.import b/addons/terrain_3d/icons/navigation.svg.import new file mode 100644 index 0000000..aeef180 --- /dev/null +++ b/addons/terrain_3d/icons/navigation.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://f3po5pogkv2b" +path="res://.godot/imported/navigation.svg-1e4cf210c589be8d2911c522d4a17d78.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/navigation.svg" +dest_files=["res://.godot/imported/navigation.svg-1e4cf210c589be8d2911c522d4a17d78.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/icons/picker_checked.svg b/addons/terrain_3d/icons/picker_checked.svg new file mode 100644 index 0000000..653d57e --- /dev/null +++ b/addons/terrain_3d/icons/picker_checked.svg @@ -0,0 +1,43 @@ + + + + + + + diff --git a/addons/terrain_3d/icons/picker_checked.svg.import b/addons/terrain_3d/icons/picker_checked.svg.import new file mode 100644 index 0000000..c334bde --- /dev/null +++ b/addons/terrain_3d/icons/picker_checked.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://bg8x6o32ggt88" +path="res://.godot/imported/picker_checked.svg-81f35b6ae38bccc8aa9e7ae22b530168.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/picker_checked.svg" +dest_files=["res://.godot/imported/picker_checked.svg-81f35b6ae38bccc8aa9e7ae22b530168.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/icons/region_add.svg b/addons/terrain_3d/icons/region_add.svg new file mode 100644 index 0000000..56d7c92 --- /dev/null +++ b/addons/terrain_3d/icons/region_add.svg @@ -0,0 +1,95 @@ + +image/svg+xml diff --git a/addons/terrain_3d/icons/region_add.svg.import b/addons/terrain_3d/icons/region_add.svg.import new file mode 100644 index 0000000..36fa400 --- /dev/null +++ b/addons/terrain_3d/icons/region_add.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://c0tn453fsckv5" +path="res://.godot/imported/region_add.svg-a05dc161a452dd3e024f9835a737d9f0.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/region_add.svg" +dest_files=["res://.godot/imported/region_add.svg-a05dc161a452dd3e024f9835a737d9f0.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/icons/region_remove.svg b/addons/terrain_3d/icons/region_remove.svg new file mode 100644 index 0000000..315657d --- /dev/null +++ b/addons/terrain_3d/icons/region_remove.svg @@ -0,0 +1,102 @@ + +image/svg+xml diff --git a/addons/terrain_3d/icons/region_remove.svg.import b/addons/terrain_3d/icons/region_remove.svg.import new file mode 100644 index 0000000..63b5c69 --- /dev/null +++ b/addons/terrain_3d/icons/region_remove.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://cbpo5eamf3bx2" +path="res://.godot/imported/region_remove.svg-5710e8aeb34f1eaa06e637634f4a7d16.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/region_remove.svg" +dest_files=["res://.godot/imported/region_remove.svg-5710e8aeb34f1eaa06e637634f4a7d16.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/icons/terrain3d.svg b/addons/terrain_3d/icons/terrain3d.svg new file mode 100644 index 0000000..ca8c661 --- /dev/null +++ b/addons/terrain_3d/icons/terrain3d.svg @@ -0,0 +1,153 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/addons/terrain_3d/icons/terrain3d.svg.import b/addons/terrain_3d/icons/terrain3d.svg.import new file mode 100644 index 0000000..608b6fe --- /dev/null +++ b/addons/terrain_3d/icons/terrain3d.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://bnsydn4jkyeyn" +path="res://.godot/imported/terrain3d.svg-eb45756f1a003759fda81eaa1db10769.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/terrain3d.svg" +dest_files=["res://.godot/imported/terrain3d.svg-eb45756f1a003759fda81eaa1db10769.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/icons/texture_paint.svg b/addons/terrain_3d/icons/texture_paint.svg new file mode 100644 index 0000000..908d3f4 --- /dev/null +++ b/addons/terrain_3d/icons/texture_paint.svg @@ -0,0 +1,151 @@ + +image/svg+xml diff --git a/addons/terrain_3d/icons/texture_paint.svg.import b/addons/terrain_3d/icons/texture_paint.svg.import new file mode 100644 index 0000000..845708b --- /dev/null +++ b/addons/terrain_3d/icons/texture_paint.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://duo8valena3a2" +path="res://.godot/imported/texture_paint.svg-72da4fd2096377e625a8fe09cdacb0e4.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/texture_paint.svg" +dest_files=["res://.godot/imported/texture_paint.svg-72da4fd2096377e625a8fe09cdacb0e4.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/icons/texture_spray.svg b/addons/terrain_3d/icons/texture_spray.svg new file mode 100644 index 0000000..bfc3e82 --- /dev/null +++ b/addons/terrain_3d/icons/texture_spray.svg @@ -0,0 +1,165 @@ + + + + + + image/svg+xml + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/addons/terrain_3d/icons/texture_spray.svg.import b/addons/terrain_3d/icons/texture_spray.svg.import new file mode 100644 index 0000000..bc0f423 --- /dev/null +++ b/addons/terrain_3d/icons/texture_spray.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://16yfxe7xe703" +path="res://.godot/imported/texture_spray.svg-326fee11cf418653e621bc222a470861.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/texture_spray.svg" +dest_files=["res://.godot/imported/texture_spray.svg-326fee11cf418653e621bc222a470861.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/icons/wetness.svg b/addons/terrain_3d/icons/wetness.svg new file mode 100644 index 0000000..90c3d03 --- /dev/null +++ b/addons/terrain_3d/icons/wetness.svg @@ -0,0 +1,41 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/addons/terrain_3d/icons/wetness.svg.import b/addons/terrain_3d/icons/wetness.svg.import new file mode 100644 index 0000000..7e4e856 --- /dev/null +++ b/addons/terrain_3d/icons/wetness.svg.import @@ -0,0 +1,44 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +uid="uid://bcgg0srmqsh3n" +path="res://.godot/imported/wetness.svg-9b2ddec096ab7734492b77b20c75c82b.ctex" +metadata={ +"has_editor_variant": true, +"vram_texture": false +} + +[deps] + +source_file="res://addons/terrain_3d/icons/wetness.svg" +dest_files=["res://.godot/imported/wetness.svg-9b2ddec096ab7734492b77b20c75c82b.ctex"] + +[params] + +compress/mode=0 +compress/high_quality=false +compress/lossy_quality=0.7 +compress/uastc_level=0 +compress/rdo_quality_loss=0.0 +compress/hdr_compression=1 +compress/normal_map=0 +compress/channel_pack=0 +mipmaps/generate=false +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/channel_remap/red=0 +process/channel_remap/green=1 +process/channel_remap/blue=2 +process/channel_remap/alpha=3 +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 +svg/scale=1.0 +editor/scale_with_editor_scale=true +editor/convert_colors_with_editor_theme=false diff --git a/addons/terrain_3d/menu/bake_lod_dialog.gd b/addons/terrain_3d/menu/bake_lod_dialog.gd new file mode 100644 index 0000000..ada4fb2 --- /dev/null +++ b/addons/terrain_3d/menu/bake_lod_dialog.gd @@ -0,0 +1,30 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Bake LOD Dialog for Terrain3D +@tool +extends ConfirmationDialog + +var lod: int = 0 +var description: String = "" + + +func _ready() -> void: + set_unparent_when_invisible(true) + about_to_popup.connect(_on_about_to_popup) + visibility_changed.connect(_on_visibility_changed) + %LodBox.value_changed.connect(_on_lod_box_value_changed) + + +func _on_about_to_popup() -> void: + lod = %LodBox.value + + +func _on_visibility_changed() -> void: + # Change text on the autowrap label only when the popup is visible. + # Works around Godot issue #47005: + # https://github.com/godotengine/godot/issues/47005 + if visible: + %DescriptionLabel.text = description + + +func _on_lod_box_value_changed(p_value: float) -> void: + lod = %LodBox.value diff --git a/addons/terrain_3d/menu/bake_lod_dialog.gd.uid b/addons/terrain_3d/menu/bake_lod_dialog.gd.uid new file mode 100644 index 0000000..08c194f --- /dev/null +++ b/addons/terrain_3d/menu/bake_lod_dialog.gd.uid @@ -0,0 +1 @@ +uid://cqmt8f5x5c2ad diff --git a/addons/terrain_3d/menu/bake_lod_dialog.tscn b/addons/terrain_3d/menu/bake_lod_dialog.tscn new file mode 100644 index 0000000..bad26f1 --- /dev/null +++ b/addons/terrain_3d/menu/bake_lod_dialog.tscn @@ -0,0 +1,43 @@ +[gd_scene load_steps=2 format=3 uid="uid://bhvrrmb8bk1bt"] + +[ext_resource type="Script" path="res://addons/terrain_3d/menu/bake_lod_dialog.gd" id="1_sf76d"] + +[node name="bake_lod_dialog" type="ConfirmationDialog"] +title = "Bake Terrain3D Mesh" +position = Vector2i(0, 36) +size = Vector2i(400, 155) +visible = true +script = ExtResource("1_sf76d") + +[node name="MarginContainer" type="MarginContainer" parent="."] +offset_left = 8.0 +offset_top = 8.0 +offset_right = 392.0 +offset_bottom = 106.0 +theme_override_constants/margin_left = 10 +theme_override_constants/margin_top = 10 +theme_override_constants/margin_right = 10 +theme_override_constants/margin_bottom = 10 + +[node name="VBoxContainer" type="VBoxContainer" parent="MarginContainer"] +layout_mode = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="MarginContainer/VBoxContainer"] +layout_mode = 2 +theme_override_constants/separation = 20 + +[node name="Label" type="Label" parent="MarginContainer/VBoxContainer/HBoxContainer"] +layout_mode = 2 +text = "LOD:" + +[node name="LodBox" type="SpinBox" parent="MarginContainer/VBoxContainer/HBoxContainer"] +unique_name_in_owner = true +layout_mode = 2 +size_flags_horizontal = 3 +max_value = 8.0 +value = 4.0 + +[node name="DescriptionLabel" type="Label" parent="MarginContainer/VBoxContainer"] +unique_name_in_owner = true +layout_mode = 2 +autowrap_mode = 2 diff --git a/addons/terrain_3d/menu/baker.gd b/addons/terrain_3d/menu/baker.gd new file mode 100644 index 0000000..08064b6 --- /dev/null +++ b/addons/terrain_3d/menu/baker.gd @@ -0,0 +1,398 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Baker for Terrain3D +extends Node + +const BakeLodDialog: PackedScene = preload("res://addons/terrain_3d/menu/bake_lod_dialog.tscn") +const BAKE_MESH_DESCRIPTION: String = "This will create a child MeshInstance3D. LOD4+ is recommended. LOD0 is slow and dense with vertices every 1 unit. It is not an optimal mesh." +const BAKE_OCCLUDER_DESCRIPTION: String = "This will create a child OccluderInstance3D. LOD4+ is recommended and will take 5+ seconds per region to generate. LOD0 is unnecessarily dense and slow." +const SET_UP_NAVIGATION_DESCRIPTION: String = "This operation will: + +- Create a NavigationRegion3D node, +- Assign it a blank NavigationMesh resource, +- Move the Terrain3D node to be a child of the new node, +- And bake the nav mesh. + +Once setup is complete, you can modify the settings on your nav mesh, and rebake +without having to run through the setup again. + +If preferred, this setup can be canceled and the steps performed manually. For +the best results, adjust the settings on the NavigationMesh resource to match +the settings of your navigation agents and collisions." + +var plugin: EditorPlugin +var bake_method: Callable +var bake_lod_dialog: ConfirmationDialog +var confirm_dialog: ConfirmationDialog + + +func _enter_tree() -> void: + bake_lod_dialog = BakeLodDialog.instantiate() + bake_lod_dialog.hide() + bake_lod_dialog.confirmed.connect(func(): bake_method.call()) + bake_lod_dialog.set_unparent_when_invisible(true) + + confirm_dialog = ConfirmationDialog.new() + confirm_dialog.hide() + confirm_dialog.confirmed.connect(func(): bake_method.call()) + confirm_dialog.set_unparent_when_invisible(true) + + +func _exit_tree() -> void: + bake_lod_dialog.queue_free() + confirm_dialog.queue_free() + + +func bake_mesh_popup() -> void: + if plugin.terrain: + bake_method = _bake_mesh + bake_lod_dialog.description = BAKE_MESH_DESCRIPTION + EditorInterface.popup_dialog_centered(bake_lod_dialog) + + +func _bake_mesh() -> void: + if plugin.terrain.data.get_region_count() == 0: + push_error("Terrain3D has no active regions to bake") + return + var mesh: Mesh = plugin.terrain.bake_mesh(bake_lod_dialog.lod, Terrain3DData.HEIGHT_FILTER_NEAREST) + if !mesh: + push_error("Failed to bake mesh from Terrain3D") + return + + var undo: EditorUndoRedoManager = plugin.get_undo_redo() + undo.create_action("Terrain3D Bake ArrayMesh") + + var mesh_instance := plugin.terrain.get_node_or_null(^"MeshInstance3D") as MeshInstance3D + if !mesh_instance: + mesh_instance = MeshInstance3D.new() + mesh_instance.name = &"MeshInstance3D" + mesh_instance.set_skeleton_path(NodePath()) + mesh_instance.mesh = mesh + + undo.add_do_method(plugin.terrain, &"add_child", mesh_instance, true) + undo.add_undo_method(plugin.terrain, &"remove_child", mesh_instance) + undo.add_do_property(mesh_instance, &"owner", EditorInterface.get_edited_scene_root()) + undo.add_do_reference(mesh_instance) + + else: + undo.add_do_property(mesh_instance, &"mesh", mesh) + undo.add_undo_property(mesh_instance, &"mesh", mesh_instance.mesh) + + if mesh_instance.mesh.resource_path: + var path := mesh_instance.mesh.resource_path + undo.add_do_method(mesh, &"take_over_path", path) + undo.add_undo_method(mesh_instance.mesh, &"take_over_path", path) + undo.add_do_method(ResourceSaver, &"save", mesh) + undo.add_undo_method(ResourceSaver, &"save", mesh_instance.mesh) + + undo.commit_action() + + +func bake_occluder_popup() -> void: + if plugin.terrain: + bake_method = _bake_occluder + bake_lod_dialog.description = BAKE_OCCLUDER_DESCRIPTION + EditorInterface.popup_dialog_centered(bake_lod_dialog) + + +func _bake_occluder() -> void: + if plugin.terrain.data.get_region_count() == 0: + push_error("Terrain3D has no active regions to bake") + return + var mesh: Mesh = plugin.terrain.bake_mesh(bake_lod_dialog.lod, Terrain3DData.HEIGHT_FILTER_MINIMUM) + if !mesh: + push_error("Failed to bake mesh from Terrain3D") + return + assert(mesh.get_surface_count() == 1) + + var undo: EditorUndoRedoManager = plugin.get_undo_redo() + undo.create_action("Terrain3D Bake Occluder3D") + + var occluder := ArrayOccluder3D.new() + var arrays: Array = mesh.surface_get_arrays(0) + assert(arrays.size() > Mesh.ARRAY_INDEX) + assert(arrays[Mesh.ARRAY_INDEX] != null) + occluder.set_arrays(arrays[Mesh.ARRAY_VERTEX], arrays[Mesh.ARRAY_INDEX]) + + var occluder_instance := plugin.terrain.get_node_or_null(^"OccluderInstance3D") as OccluderInstance3D + if !occluder_instance: + occluder_instance = OccluderInstance3D.new() + occluder_instance.name = &"OccluderInstance3D" + occluder_instance.occluder = occluder + + undo.add_do_method(plugin.terrain, &"add_child", occluder_instance, true) + undo.add_undo_method(plugin.terrain, &"remove_child", occluder_instance) + undo.add_do_property(occluder_instance, &"owner", EditorInterface.get_edited_scene_root()) + undo.add_do_reference(occluder_instance) + + else: + undo.add_do_property(occluder_instance, &"occluder", occluder) + undo.add_undo_property(occluder_instance, &"occluder", occluder_instance.occluder) + + if occluder_instance.occluder.resource_path: + var path := occluder_instance.occluder.resource_path + undo.add_do_method(occluder, &"take_over_path", path) + undo.add_undo_method(occluder_instance.occluder, &"take_over_path", path) + undo.add_do_method(ResourceSaver, &"save", occluder) + undo.add_undo_method(ResourceSaver, &"save", occluder_instance.occluder) + + undo.commit_action() + + +func find_nav_region_terrains(p_nav_region: NavigationRegion3D) -> Array[Terrain3D]: + var result: Array[Terrain3D] = [] + if not p_nav_region.navigation_mesh: + return result + + var source_mode: NavigationMesh.SourceGeometryMode + source_mode = p_nav_region.navigation_mesh.geometry_source_geometry_mode + if source_mode == NavigationMesh.SOURCE_GEOMETRY_ROOT_NODE_CHILDREN: + result.append_array(p_nav_region.find_children("", "Terrain3D", true, true)) + return result + + var group_nodes: Array = p_nav_region.get_tree().get_nodes_in_group(p_nav_region.navigation_mesh.geometry_source_group_name) + for node in group_nodes: + if node is Terrain3D: + result.push_back(node) + if source_mode == NavigationMesh.SOURCE_GEOMETRY_GROUPS_WITH_CHILDREN: + result.append_array(node.find_children("", "Terrain3D", true, true)) + + return result + + +func find_terrain_nav_regions(p_terrain: Terrain3D) -> Array[NavigationRegion3D]: + var result: Array[NavigationRegion3D] = [] + var root: Node = EditorInterface.get_edited_scene_root() + if not root: + return result + for nav_region in root.find_children("", "NavigationRegion3D", true, true): + if find_nav_region_terrains(nav_region).has(p_terrain): + result.push_back(nav_region) + return result + + +func bake_nav_mesh() -> void: + if plugin.nav_region: + # A NavigationRegion3D is selected. We only need to bake that one navmesh. + _bake_nav_region_nav_mesh(plugin.nav_region) + print("Terrain3DNavigation: Finished baking 1 NavigationMesh.") + + elif plugin.terrain: + if plugin.terrain.data.get_region_count() == 0: + push_error("Terrain3D has no active regions to bake") + return + # A Terrain3D is selected. There are potentially multiple navmeshes to bake and we need to + # find them all. (The multiple navmesh use-case is likely on very large scenes with lots of + # geometry. Each navmesh in this case would define its own, non-overlapping, baking AABB, to + # cut down on the amount of geometry to bake. In a large open-world RPG, for instance, there + # could be a navmesh for each town.) + var nav_regions: Array[NavigationRegion3D] = find_terrain_nav_regions(plugin.terrain) + for nav_region in nav_regions: + _bake_nav_region_nav_mesh(nav_region) + print("Terrain3DNavigation: Finished baking %d NavigationMesh(es)." % nav_regions.size()) + + +func _bake_nav_region_nav_mesh(p_nav_region: NavigationRegion3D) -> void: + var nav_mesh: NavigationMesh = p_nav_region.navigation_mesh + assert(nav_mesh != null) + + var source_geometry_data := NavigationMeshSourceGeometryData3D.new() + NavigationServer3D.parse_source_geometry_data(nav_mesh, source_geometry_data, p_nav_region) + + for terrain in find_nav_region_terrains(p_nav_region): + var aabb: AABB = nav_mesh.filter_baking_aabb + aabb.position += nav_mesh.filter_baking_aabb_offset + aabb = p_nav_region.global_transform * aabb + var faces: PackedVector3Array = terrain.generate_nav_mesh_source_geometry(aabb) + if not faces.is_empty(): + source_geometry_data.add_faces(faces, Transform3D.IDENTITY) + + NavigationServer3D.bake_from_source_geometry_data(nav_mesh, source_geometry_data) + + _postprocess_nav_mesh(nav_mesh) + + # Assign null first to force the debug display to actually update: + p_nav_region.set_navigation_mesh(null) + p_nav_region.set_navigation_mesh(nav_mesh) + + # Trigger save to disk if it is saved as an external file + if not nav_mesh.get_path().is_empty(): + ResourceSaver.save(nav_mesh, nav_mesh.get_path(), ResourceSaver.FLAG_COMPRESS) + + # Let other editor plugins and tool scripts know the nav mesh was just baked: + p_nav_region.bake_finished.emit() + + +func _postprocess_nav_mesh(p_nav_mesh: NavigationMesh) -> void: + # Post-process the nav mesh to work around Godot issue #85548 + + # Round all the vertices in the nav_mesh to the nearest cell_size/cell_height so that it doesn't + # contain any edges shorter than cell_size/cell_height (one cause of #85548). + var vertices: PackedVector3Array = _postprocess_nav_mesh_round_vertices(p_nav_mesh) + + # Rounding vertices can collapse some edges to 0 length. We remove these edges, and any polygons + # that have been reduced to 0 area. + var polygons: Array[PackedInt32Array] = _postprocess_nav_mesh_remove_empty_polygons(p_nav_mesh, vertices) + + # Another cause of #85548 is baking producing overlapping polygons. We remove these. + _postprocess_nav_mesh_remove_overlapping_polygons(p_nav_mesh, vertices, polygons) + + p_nav_mesh.clear_polygons() + p_nav_mesh.set_vertices(vertices) + for polygon in polygons: + p_nav_mesh.add_polygon(polygon) + + +func _postprocess_nav_mesh_round_vertices(p_nav_mesh: NavigationMesh) -> PackedVector3Array: + assert(p_nav_mesh != null) + assert(p_nav_mesh.cell_size > 0.0) + assert(p_nav_mesh.cell_height > 0.0) + + var cell_size: Vector3 = Vector3(p_nav_mesh.cell_size, p_nav_mesh.cell_height, p_nav_mesh.cell_size) + + # Round a little harder to avoid rounding errors with non-power-of-two cell_size/cell_height + # causing the navigation map to put two non-matching edges in the same cell: + var round_factor := cell_size * 1.001 + + var vertices: PackedVector3Array = p_nav_mesh.get_vertices() + for i in range(vertices.size()): + vertices[i] = (vertices[i] / round_factor).floor() * round_factor + return vertices + + +func _postprocess_nav_mesh_remove_empty_polygons(p_nav_mesh: NavigationMesh, p_vertices: PackedVector3Array) -> Array[PackedInt32Array]: + var polygons: Array[PackedInt32Array] = [] + + for i in range(p_nav_mesh.get_polygon_count()): + var old_polygon: PackedInt32Array = p_nav_mesh.get_polygon(i) + var new_polygon: PackedInt32Array = [] + + # Remove duplicate vertices (introduced by rounding) from the polygon: + var polygon_vertices: PackedVector3Array = [] + for index in old_polygon: + var vertex: Vector3 = p_vertices[index] + if polygon_vertices.has(vertex): + continue + polygon_vertices.push_back(vertex) + new_polygon.push_back(index) + + # If we removed some vertices, we might be able to remove the polygon too: + if new_polygon.size() <= 2: + continue + polygons.push_back(new_polygon) + + return polygons + + +func _postprocess_nav_mesh_remove_overlapping_polygons(p_nav_mesh: NavigationMesh, p_vertices: PackedVector3Array, p_polygons: Array[PackedInt32Array]) -> void: + # Occasionally, a baked nav mesh comes out with overlapping polygons: + # https://github.com/godotengine/godot/issues/85548#issuecomment-1839341071 + # Until the bug is fixed in the engine, this function attempts to detect and remove overlapping + # polygons. + + # This function has to make a choice of which polygon to remove when an overlap is detected, + # because in this case the nav mesh is ambiguous. To do this it uses a heuristic: + # (1) an 'overlap' is defined as an edge that is shared by 3 or more polygons. + # (2) a 'bad polygon' is defined as a polygon that contains 2 or more 'overlaps'. + # The function removes the 'bad polygons', which in practice seems to be enough to remove all + # overlaps without creating holes in the nav mesh. + + var cell_size: Vector3 = Vector3(p_nav_mesh.cell_size, p_nav_mesh.cell_height, p_nav_mesh.cell_size) + + # `edges` is going to map edges (vertex pairs) to arrays of polygons that contain that edge. + var edges: Dictionary = {} + + for polygon_index in range(p_polygons.size()): + var polygon: PackedInt32Array = p_polygons[polygon_index] + for j in range(polygon.size()): + var vertex: Vector3 = p_vertices[polygon[j]] + var next_vertex: Vector3 = p_vertices[polygon[(j + 1) % polygon.size()]] + + # edge_key is a key we can use in the edges dictionary that uniquely identifies the + # edge. We use cell coordinates here (Vector3i) because with a non-power-of-two + # cell_size, rounding errors can cause Vector3 vertices to not be equal. + # Array.sort IS defined for vector types - see the Godot docs. It's necessary here + # because polygons that share an edge can have their vertices in a different order. + var edge_key: Array = [Vector3i(vertex / cell_size), Vector3i(next_vertex / cell_size)] + edge_key.sort() + + if !edges.has(edge_key): + edges[edge_key] = [] + edges[edge_key].push_back(polygon_index) + + var overlap_count: Dictionary = {} + for connections in edges.values(): + if connections.size() <= 2: + continue + for polygon_index in connections: + overlap_count[polygon_index] = overlap_count.get(polygon_index, 0) + 1 + + var bad_polygons: Array = [] + for polygon_index in overlap_count.keys(): + if overlap_count[polygon_index] >= 2: + bad_polygons.push_back(polygon_index) + + bad_polygons.sort() + for i in range(bad_polygons.size() - 1, -1, -1): + p_polygons.remove_at(bad_polygons[i]) + + +func set_up_navigation_popup() -> void: + if plugin.terrain: + bake_method = _set_up_navigation + confirm_dialog.dialog_text = SET_UP_NAVIGATION_DESCRIPTION + EditorInterface.popup_dialog_centered(confirm_dialog) + + +func _set_up_navigation() -> void: + assert(plugin.terrain) + if plugin.terrain == EditorInterface.get_edited_scene_root(): + push_error("Terrain3D Navigation setup not possible if Terrain3D node is scene root") + return + if plugin.terrain.data.get_region_count() == 0: + push_error("Terrain3D has no active regions") + return + var terrain: Terrain3D = plugin.terrain + + var nav_region := NavigationRegion3D.new() + nav_region.name = &"NavigationRegion3D" + nav_region.navigation_mesh = NavigationMesh.new() + + var undo_redo: EditorUndoRedoManager = plugin.get_undo_redo() + + undo_redo.create_action("Terrain3D Set up Navigation") + undo_redo.add_do_method(self, &"_do_set_up_navigation", nav_region, terrain) + undo_redo.add_undo_method(self, &"_undo_set_up_navigation", nav_region, terrain) + undo_redo.add_do_reference(nav_region) + undo_redo.commit_action() + + EditorInterface.inspect_object(nav_region) + assert(plugin.nav_region == nav_region) + + bake_nav_mesh() + + +func _do_set_up_navigation(p_nav_region: NavigationRegion3D, p_terrain: Terrain3D) -> void: + var parent: Node = p_terrain.get_parent() + var index: int = p_terrain.get_index() + var t_owner: Node = p_terrain.owner + + parent.add_child(p_nav_region, true) + p_terrain.reparent(p_nav_region) + parent.move_child(p_nav_region, index) + + p_nav_region.owner = t_owner + p_terrain.owner = t_owner + + +func _undo_set_up_navigation(p_nav_region: NavigationRegion3D, p_terrain: Terrain3D) -> void: + assert(p_terrain.get_parent() == p_nav_region) + + var parent: Node = p_nav_region.get_parent() + var index: int = p_nav_region.get_index() + var t_owner: Node = p_nav_region.get_owner() + + p_terrain.reparent(parent) + parent.remove_child(p_nav_region) + parent.move_child(p_terrain, index) + + p_terrain.owner = t_owner diff --git a/addons/terrain_3d/menu/baker.gd.uid b/addons/terrain_3d/menu/baker.gd.uid new file mode 100644 index 0000000..0f2ed94 --- /dev/null +++ b/addons/terrain_3d/menu/baker.gd.uid @@ -0,0 +1 @@ +uid://4ulaeevj5jvi diff --git a/addons/terrain_3d/menu/channel_packer.gd b/addons/terrain_3d/menu/channel_packer.gd new file mode 100644 index 0000000..24fb5a8 --- /dev/null +++ b/addons/terrain_3d/menu/channel_packer.gd @@ -0,0 +1,465 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Channel Packer for Terrain3D +extends RefCounted + +const WINDOW_SCENE: String = "res://addons/terrain_3d/menu/channel_packer.tscn" +const TEMPLATE_PATH: String = "res://addons/terrain_3d/menu/channel_packer_import_template.txt" +const DRAG_DROP_SCRIPT: String = "res://addons/terrain_3d/menu/channel_packer_dragdrop.gd" +enum { + INFO, + WARN, + ERROR, +} + +enum { + IMAGE_ALBEDO, + IMAGE_HEIGHT, + IMAGE_NORMAL, + IMAGE_ROUGHNESS +} + +var plugin: EditorPlugin +var window: Window +var save_file_dialog: EditorFileDialog +var open_file_dialog: EditorFileDialog +var invert_green_checkbox: CheckBox +var invert_smooth_checkbox: CheckBox +var invert_height_checkbox: CheckBox +var normalize_height_checkbox: CheckBox +var lumin_height_button: Button +var generate_mipmaps_checkbox: CheckBox +var high_quality_checkbox: CheckBox +var align_normals_checkbox: CheckBox +var resize_toggle_checkbox: CheckBox +var resize_option_box: SpinBox +var height_channel: Array[Button] +var height_channel_selected: int = 0 +var roughness_channel: Array[Button] +var roughness_channel_selected: int = 0 +var last_opened_directory: String +var last_saved_directory: String +var packing_albedo: bool = false +var queue_pack_normal_roughness: bool = false +var images: Array[Image] = [null, null, null, null] +var status_label: Label +var no_op: Callable = func(): pass +var last_file_selected_fn: Callable = no_op +var normal_vector: Vector3 + + +func pack_textures_popup() -> void: + if window != null: + window.show() + window.grab_focus() + window.move_to_center() + return + window = (load(WINDOW_SCENE) as PackedScene).instantiate() + window.close_requested.connect(_on_close_requested) + window.window_input.connect(func(event:InputEvent): + if event is InputEventKey: + if event.pressed and event.keycode == KEY_ESCAPE: + _on_close_requested() + ) + window.find_child("CloseButton").pressed.connect(_on_close_requested) + + status_label = window.find_child("StatusLabel") as Label + invert_green_checkbox = window.find_child("InvertGreenChannelCheckBox") as CheckBox + invert_smooth_checkbox = window.find_child("InvertSmoothCheckBox") as CheckBox + invert_height_checkbox = window.find_child("ConvertDepthToHeight") as CheckBox + normalize_height_checkbox = window.find_child("NormalizeHeight") as CheckBox + lumin_height_button = window.find_child("LuminanceAsHeightButton") as Button + generate_mipmaps_checkbox = window.find_child("GenerateMipmapsCheckBox") as CheckBox + high_quality_checkbox = window.find_child("HighQualityCheckBox") as CheckBox + align_normals_checkbox = window.find_child("AlignNormalsCheckBox") as CheckBox + resize_toggle_checkbox = window.find_child("ResizeToggle") as CheckBox + resize_option_box = window.find_child("ResizeOptionButton") as SpinBox + height_channel = [ + window.find_child("HeightChannelR") as Button, + window.find_child("HeightChannelG") as Button, + window.find_child("HeightChannelB") as Button, + window.find_child("HeightChannelA") as Button + ] + roughness_channel = [ + window.find_child("RoughnessChannelR") as Button, + window.find_child("RoughnessChannelG") as Button, + window.find_child("RoughnessChannelB") as Button, + window.find_child("RoughnessChannelA") as Button + ] + + height_channel[0].pressed.connect(func() -> void: height_channel_selected = 0) + height_channel[1].pressed.connect(func() -> void: height_channel_selected = 1) + height_channel[2].pressed.connect(func() -> void: height_channel_selected = 2) + height_channel[3].pressed.connect(func() -> void: height_channel_selected = 3) + + roughness_channel[0].pressed.connect(func() -> void: roughness_channel_selected = 0) + roughness_channel[1].pressed.connect(func() -> void: roughness_channel_selected = 1) + roughness_channel[2].pressed.connect(func() -> void: roughness_channel_selected = 2) + roughness_channel[3].pressed.connect(func() -> void: roughness_channel_selected = 3) + + plugin.add_child(window) + _init_file_dialogs() + + # the dialog disables the parent window "on top" so, restore it after 1 frame to alow the dialog to clear. + var set_on_top_fn: Callable = func(_file: String = "") -> void: + await RenderingServer.frame_post_draw + window.always_on_top = true + save_file_dialog.file_selected.connect(set_on_top_fn) + save_file_dialog.canceled.connect(set_on_top_fn) + open_file_dialog.file_selected.connect(set_on_top_fn) + open_file_dialog.canceled.connect(set_on_top_fn) + + _init_texture_picker(window.find_child("AlbedoVBox"), IMAGE_ALBEDO) + _init_texture_picker(window.find_child("HeightVBox"), IMAGE_HEIGHT) + _init_texture_picker(window.find_child("NormalVBox"), IMAGE_NORMAL) + _init_texture_picker(window.find_child("RoughnessVBox"), IMAGE_ROUGHNESS) + + (window.find_child("PackButton") as Button).pressed.connect(_on_pack_button_pressed) + + +func _on_close_requested() -> void: + last_file_selected_fn = no_op + images = [null, null, null, null] + window.queue_free() + window = null + + +func _init_file_dialogs() -> void: + save_file_dialog = EditorFileDialog.new() + save_file_dialog.set_filters(PackedStringArray(["*.png"])) + save_file_dialog.set_file_mode(EditorFileDialog.FILE_MODE_SAVE_FILE) + save_file_dialog.access = EditorFileDialog.ACCESS_FILESYSTEM + save_file_dialog.file_selected.connect(_on_save_file_selected) + save_file_dialog.ok_button_text = "Save" + save_file_dialog.size = Vector2i(550, 550) + #save_file_dialog.transient = false + #save_file_dialog.exclusive = false + #save_file_dialog.popup_window = true + + open_file_dialog = EditorFileDialog.new() + open_file_dialog.set_filters(PackedStringArray( + ["*.png", "*.bmp", "*.exr", "*.hdr", "*.jpg", "*.jpeg", "*.tga", "*.svg", "*.webp", "*.ktx", "*.dds"])) + open_file_dialog.set_file_mode(EditorFileDialog.FILE_MODE_OPEN_FILE) + open_file_dialog.access = EditorFileDialog.ACCESS_FILESYSTEM + open_file_dialog.ok_button_text = "Open" + open_file_dialog.size = Vector2i(550, 550) + #open_file_dialog.transient = false + #open_file_dialog.exclusive = false + #open_file_dialog.popup_window = true + + window.add_child(save_file_dialog) + window.add_child(open_file_dialog) + + +func _init_texture_picker(p_parent: Node, p_image_index: int) -> void: + var line_edit: LineEdit = p_parent.find_child("LineEdit") as LineEdit + var file_pick_button: Button = p_parent.find_child("PickButton") as Button + var clear_button: Button = p_parent.find_child("ClearButton") as Button + var texture_rect: TextureRect = p_parent.find_child("TextureRect") as TextureRect + var texture_button: Button = p_parent.find_child("TextureButton") as Button + texture_button.set_script(load(DRAG_DROP_SCRIPT) as GDScript) + + var set_channel_fn: Callable = func(used_channels: int) -> void: + var channel_count: int = 4 + # enum Image.UsedChannels + match used_channels: + Image.USED_CHANNELS_L, Image.USED_CHANNELS_R: channel_count = 1 + Image.USED_CHANNELS_LA, Image.USED_CHANNELS_RG: channel_count = 2 + Image.USED_CHANNELS_RGB: channel_count = 3 + Image.USED_CHANNELS_RGBA: channel_count = 4 + if p_image_index == IMAGE_HEIGHT: + for i in 4: + height_channel[i].visible = i < channel_count + height_channel[0].button_pressed = true + height_channel[0].pressed.emit() + elif p_image_index == IMAGE_ROUGHNESS: + for i in 4: + roughness_channel[i].visible = i < channel_count + roughness_channel[0].button_pressed = true + roughness_channel[0].pressed.emit() + + var load_image_fn: Callable = func(path: String): + var image: Image = Image.new() + var error: int = OK + # Special case for dds files + if path.get_extension() == "dds": + image = ResourceLoader.load(path).get_image() + if not image.is_empty(): + # if the dds file is loaded, we must clear any mipmaps and + # decompress if needed in order to do per pixel operations. + image.clear_mipmaps() + image.decompress() + else: + error = FAILED + else: + error = image.load(path) + if error != OK: + _show_message(ERROR, "Failed to load texture '" + path + "'") + texture_rect.texture = null + images[p_image_index] = null + else: + _show_message(INFO, "Loaded texture '" + path + "'") + texture_rect.texture = ImageTexture.create_from_image(image) + images[p_image_index] = image + _set_wh_labels(p_image_index, image.get_width(), image.get_height()) + if p_image_index == IMAGE_NORMAL: + _set_normal_vector(image) + if p_image_index == IMAGE_HEIGHT or p_image_index == IMAGE_ROUGHNESS: + set_channel_fn.call(image.detect_used_channels()) + + var os_drop_fn: Callable = func(files: PackedStringArray) -> void: + # OS drag drop holds mouse focus until released, + # Get mouse pos and check directly if inside texture_rect + var rect = texture_button.get_global_rect() + var mouse_position = texture_button.get_global_mouse_position() + if rect.has_point(mouse_position): + if files.size() != 1: + _show_message(ERROR, "Cannot load multiple files") + else: + line_edit.text = files[0] + load_image_fn.call(files[0]) + + var godot_drop_fn: Callable = func(path: String) -> void: + path = ProjectSettings.globalize_path(path) + line_edit.text = path + load_image_fn.call(path) + + var open_fn: Callable = func() -> void: + open_file_dialog.current_path = last_opened_directory + if last_file_selected_fn != no_op: + open_file_dialog.file_selected.disconnect(last_file_selected_fn) + last_file_selected_fn = func(path: String) -> void: + line_edit.text = path + load_image_fn.call(path) + open_file_dialog.file_selected.connect(last_file_selected_fn) + open_file_dialog.popup_centered_ratio() + + var line_edit_submit_fn: Callable = func(path: String) -> void: + line_edit.text = path + load_image_fn.call(path) + + var clear_fn: Callable = func() -> void: + line_edit.text = "" + texture_rect.texture = null + images[p_image_index] = null + _set_wh_labels(p_image_index, -1, -1) + + line_edit.text_submitted.connect(line_edit_submit_fn) + file_pick_button.pressed.connect(open_fn) + texture_button.pressed.connect(open_fn) + clear_button.pressed.connect(clear_fn) + texture_button.dropped.connect(godot_drop_fn) + window.files_dropped.connect(os_drop_fn) + + if p_image_index == IMAGE_HEIGHT: + var lumin_fn: Callable = func() -> void: + if !images[IMAGE_ALBEDO]: + _show_message(ERROR, "Albedo Image Required for Operation") + else: + line_edit.text = "Generated Height" + var height_texture: Image = Terrain3DUtil.luminance_to_height(images[IMAGE_ALBEDO]) + if height_texture.is_empty(): + _show_message(ERROR, "Height Texture Generation error") + # blur the image by resizing down and back.. + var w: int = height_texture.get_width() + var h: int = height_texture.get_height() + height_texture.resize(w / 4, h / 4) + height_texture.resize(w, h, Image.INTERPOLATE_CUBIC) + # "Load" the height texture + images[IMAGE_HEIGHT] = height_texture + texture_rect.texture = ImageTexture.create_from_image(images[IMAGE_HEIGHT]) + _set_wh_labels(IMAGE_HEIGHT, height_texture.get_width(), height_texture.get_height()) + set_channel_fn.call(Image.USED_CHANNELS_R) + _show_message(INFO, "Height Texture generated sucsessfully") + lumin_height_button.pressed.connect(lumin_fn) + plugin.ui.set_button_editor_icon(file_pick_button, "Folder") + plugin.ui.set_button_editor_icon(clear_button, "Remove") + + +func _set_wh_labels(p_image_index: int, width: int, height: int) -> void: + var w: String = "" + var h: String = "" + if width > 0 and height > 0: + w = "w: " + str(width) + h = "h: " + str(height) + match p_image_index: + 0: + window.find_child("AlbedoW").text = w + window.find_child("AlbedoH").text = h + 1: + window.find_child("HeightW").text = w + window.find_child("HeightH").text = h + 2: + window.find_child("NormalW").text = w + window.find_child("NormalH").text = h + 3: + window.find_child("RoughnessW").text = w + window.find_child("RoughnessH").text = h + + +func _show_message(p_level: int, p_text: String) -> void: + status_label.text = p_text + match p_level: + INFO: + print("Terrain3DChannelPacker: " + p_text) + status_label.add_theme_color_override("font_color", Color(0, 0.82, 0.14)) + WARN: + push_warning("Terrain3DChannelPacker: " + p_text) + status_label.add_theme_color_override("font_color", Color(0.9, 0.9, 0)) + ERROR,_: + push_error("Terrain3DChannelPacker: " + p_text) + status_label.add_theme_color_override("font_color", Color(0.9, 0, 0)) + + +func _create_import_file(png_path: String) -> void: + var dst_import_path: String = png_path + ".import" + var file: FileAccess = FileAccess.open(TEMPLATE_PATH, FileAccess.READ) + var template_content: String = file.get_as_text() + file.close() + template_content = template_content.replace( + "$SOURCE_FILE", png_path).replace( + "$HIGH_QUALITY", str(high_quality_checkbox.button_pressed)).replace( + "$GENERATE_MIPMAPS", str(generate_mipmaps_checkbox.button_pressed) + ) + var import_content: String = template_content + file = FileAccess.open(dst_import_path, FileAccess.WRITE) + file.store_string(import_content) + file.close() + + +func _on_pack_button_pressed() -> void: + packing_albedo = images[IMAGE_ALBEDO] != null and images[IMAGE_HEIGHT] != null + var packing_normal_roughness: bool = images[IMAGE_NORMAL] != null and images[IMAGE_ROUGHNESS] != null + + if not packing_albedo and not packing_normal_roughness: + _show_message(WARN, "Please select an albedo and height texture or a normal and roughness texture") + return + if packing_albedo: + save_file_dialog.current_path = last_saved_directory + "packed_albedo_height" + save_file_dialog.title = "Save Packed Albedo/Height Texture" + save_file_dialog.popup_centered_ratio() + if packing_normal_roughness: + queue_pack_normal_roughness = true + return + if packing_normal_roughness: + save_file_dialog.current_path = last_saved_directory + "packed_normal_roughness" + save_file_dialog.title = "Save Packed Normal/Roughness Texture" + save_file_dialog.popup_centered_ratio() + + +func _on_save_file_selected(p_dst_path) -> void: + last_saved_directory = p_dst_path.get_base_dir() + "/" + var error: int + if packing_albedo: + error = _pack_textures(images[IMAGE_ALBEDO], images[IMAGE_HEIGHT], p_dst_path, false, + invert_height_checkbox.button_pressed, false, normalize_height_checkbox.button_pressed, height_channel_selected) + else: + error = _pack_textures(images[IMAGE_NORMAL], images[IMAGE_ROUGHNESS], p_dst_path, + invert_green_checkbox.button_pressed, invert_smooth_checkbox.button_pressed, + align_normals_checkbox.button_pressed, false, roughness_channel_selected) + + if error == OK: + EditorInterface.get_resource_filesystem().scan() + if window.visible: + window.hide() + await EditorInterface.get_resource_filesystem().resources_reimported + # wait 1 extra frame, to ensure the UI is responsive. + await RenderingServer.frame_post_draw + window.show() + + if queue_pack_normal_roughness: + queue_pack_normal_roughness = false + packing_albedo = false + save_file_dialog.current_path = last_saved_directory + "packed_normal_roughness" + save_file_dialog.title = "Save Packed Normal/Roughness Texture" + + save_file_dialog.call_deferred("popup_centered_ratio") + save_file_dialog.call_deferred("grab_focus") + + +func _alignment_basis(normal: Vector3) -> Basis: + var up: Vector3 = Vector3(0, 0, 1) + var v: Vector3 = normal.cross(up) + var c: float = normal.dot(up) + var k: float = 1.0 / (1.0 + c) + + var vxy: float = v.x * v.y * k + var vxz: float = v.x * v.z * k + var vyz: float = v.y * v.z * k + + return Basis(Vector3(v.x * v.x * k + c, vxy - v.z, vxz + v.y), + Vector3(vxy + v.z, v.y * v.y * k + c, vyz - v.x), + Vector3(vxz - v.y, vyz + v.x, v.z * v.z * k + c) + ) + + +func _set_normal_vector(source: Image, quiet: bool = false) -> void: + # Calculate texture normal sum direction + var normal: Image = source + var sum: Color = Color(0.0, 0.0, 0.0, 0.0) + for x in normal.get_width(): + for y in normal.get_height(): + sum += normal.get_pixel(x, y) + var div: float = normal.get_height() * normal.get_width() + sum /= Color(div, div, div) + sum *= 2.0 + sum -= Color(1.0, 1.0, 1.0) + normal_vector = Vector3(sum.r, sum.g, sum.b).normalized() + if normal_vector.dot(Vector3(0.0, 0.0, 1.0)) < 0.999 && !quiet: + _show_message(WARN, "Normal Texture Not Orthoganol to UV plane.\nFor Compatability with Detiling and Rotation, Select Orthoganolize Normals") + + +func _align_normals(source: Image, iteration: int = 0) -> void: + # generate matrix to re-align the normalmap + var mat3: Basis = _alignment_basis(normal_vector) + # re-align the normal map pixels + for x in source.get_width(): + for y in source.get_height(): + var old_pixel: Color = source.get_pixel(x, y) + var vector_pixel: Vector3 = Vector3(old_pixel.r, old_pixel.g, old_pixel.b) + vector_pixel *= 2.0 + vector_pixel -= Vector3.ONE + vector_pixel = vector_pixel.normalized() + vector_pixel = vector_pixel * mat3 + vector_pixel += Vector3.ONE + vector_pixel *= 0.5 + var new_pixel: Color = Color(vector_pixel.x, vector_pixel.y, vector_pixel.z, old_pixel.a) + source.set_pixel(x, y, new_pixel) + _set_normal_vector(source, true) + if normal_vector.dot(Vector3(0.0, 0.0, 1.0)) < 0.999 && iteration < 3: + ++iteration + _align_normals(source, iteration) + + +func _pack_textures(p_rgb_image: Image, p_a_image: Image, p_dst_path: String, p_invert_green: bool, + p_invert_smooth: bool, p_align_normals: bool, p_normalize_height: bool, p_alpha_channel: int) -> Error: + if p_rgb_image and p_a_image: + if p_rgb_image.get_size() != p_a_image.get_size() and !resize_toggle_checkbox.button_pressed: + _show_message(ERROR, "Textures must be the same size.\nEnable resize to override image dimensions") + return FAILED + + if resize_toggle_checkbox.button_pressed: + var size: int = max(128, resize_option_box.value) + p_rgb_image.resize(size, size, Image.INTERPOLATE_CUBIC) + p_a_image.resize(size, size, Image.INTERPOLATE_CUBIC) + + if p_align_normals and normal_vector.dot(Vector3(0.0, 0.0, 1.0)) < 0.999: + _align_normals(p_rgb_image) + elif p_align_normals: + _show_message(INFO, "Alignment OK, skipping Normal Orthogonalization") + + var output_image: Image = Terrain3DUtil.pack_image(p_rgb_image, p_a_image, + p_invert_green, p_invert_smooth, p_normalize_height, p_alpha_channel) + + if not output_image: + _show_message(ERROR, "Failed to pack textures") + return FAILED + if output_image.detect_alpha() != Image.ALPHA_BLEND: + _show_message(WARN, "Warning, Alpha channel empty") + + output_image.save_png(p_dst_path) + _create_import_file(p_dst_path) + _show_message(INFO, "Packed to " + p_dst_path + ".") + return OK + else: + _show_message(ERROR, "Failed to load one or more textures") + return FAILED diff --git a/addons/terrain_3d/menu/channel_packer.gd.uid b/addons/terrain_3d/menu/channel_packer.gd.uid new file mode 100644 index 0000000..564c78d --- /dev/null +++ b/addons/terrain_3d/menu/channel_packer.gd.uid @@ -0,0 +1 @@ +uid://bwldx4itd58o7 diff --git a/addons/terrain_3d/menu/channel_packer.tscn b/addons/terrain_3d/menu/channel_packer.tscn new file mode 100644 index 0000000..fe0f80a --- /dev/null +++ b/addons/terrain_3d/menu/channel_packer.tscn @@ -0,0 +1,539 @@ +[gd_scene load_steps=7 format=3 uid="uid://nud6dwjcnj5v"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ysabf"] +bg_color = Color(0.211765, 0.239216, 0.290196, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_lcvna"] +bg_color = Color(0.168627, 0.211765, 0.266667, 1) +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(0.270588, 0.435294, 0.580392, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_cb0xf"] +bg_color = Color(0.137255, 0.137255, 0.137255, 1) +draw_center = false +border_width_left = 3 +border_width_top = 3 +border_width_right = 3 +border_width_bottom = 3 +border_color = Color(0.784314, 0.784314, 0.784314, 1) +corner_radius_top_left = 5 +corner_radius_top_right = 5 +corner_radius_bottom_right = 5 +corner_radius_bottom_left = 5 + +[sub_resource type="StyleBoxEmpty" id="StyleBoxEmpty_7qdas"] + +[sub_resource type="ButtonGroup" id="ButtonGroup_wnxik"] + +[sub_resource type="ButtonGroup" id="ButtonGroup_bs6ki"] + +[node name="Window" type="Window"] +title = "Terrain3D Channel Packer" +initial_position = 1 +size = Vector2i(583, 891) +wrap_controls = true +always_on_top = true + +[node name="PanelContainer" type="PanelContainer" parent="."] +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_ysabf") + +[node name="MarginContainer" type="MarginContainer" parent="PanelContainer"] +layout_mode = 2 +theme_override_constants/margin_left = 5 +theme_override_constants/margin_top = 5 +theme_override_constants/margin_right = 5 +theme_override_constants/margin_bottom = 5 + +[node name="VBoxContainer" type="VBoxContainer" parent="PanelContainer/MarginContainer"] +layout_mode = 2 +theme_override_constants/separation = 10 + +[node name="AlbedoHeightPanel" type="PanelContainer" parent="PanelContainer/MarginContainer/VBoxContainer"] +layout_mode = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_lcvna") + +[node name="MarginContainer" type="MarginContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel"] +layout_mode = 2 +theme_override_constants/margin_left = 10 +theme_override_constants/margin_top = 10 +theme_override_constants/margin_right = 10 +theme_override_constants/margin_bottom = 10 + +[node name="HBoxContainer" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer"] +layout_mode = 2 + +[node name="AlbedoVBox" type="VBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="AlbedoLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox"] +layout_mode = 2 +text = "Albedo texture" + +[node name="AlbedoHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox"] +layout_mode = 2 + +[node name="LineEdit" type="LineEdit" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/AlbedoHBox"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="PickButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/AlbedoHBox"] +layout_mode = 2 + +[node name="ClearButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/AlbedoHBox"] +layout_mode = 2 + +[node name="MarginContainer" type="MarginContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox"] +layout_mode = 2 +size_flags_vertical = 4 +theme_override_constants/margin_top = 10 + +[node name="Panel" type="Panel" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/MarginContainer"] +custom_minimum_size = Vector2(110, 110) +layout_mode = 2 +size_flags_horizontal = 4 +size_flags_vertical = 4 +theme_override_styles/panel = SubResource("StyleBoxFlat_cb0xf") + +[node name="TextureRect" type="TextureRect" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -50.0 +offset_top = -50.0 +offset_right = 50.0 +offset_bottom = 50.0 +grow_horizontal = 2 +grow_vertical = 2 +expand_mode = 1 + +[node name="TextureButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/normal = SubResource("StyleBoxEmpty_7qdas") + +[node name="AlbedoWHHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox"] +layout_mode = 2 +alignment = 1 + +[node name="AlbedoW" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/AlbedoWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="AlbedoH" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/AlbedoWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="HBoxContainer2" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox"] +layout_mode = 2 +alignment = 1 + +[node name="LuminanceAsHeightButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/AlbedoVBox/HBoxContainer2"] +layout_mode = 2 +text = " Generate Height from Luminance" +icon_alignment = 2 + +[node name="HeightVBox" type="VBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="HeightLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox"] +layout_mode = 2 +text = "Height texture" + +[node name="HeightHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox"] +layout_mode = 2 + +[node name="LineEdit" type="LineEdit" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HeightHBox"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="PickButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HeightHBox"] +layout_mode = 2 + +[node name="ClearButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HeightHBox"] +layout_mode = 2 + +[node name="MarginContainer" type="MarginContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox"] +layout_mode = 2 +size_flags_vertical = 4 +theme_override_constants/margin_top = 10 + +[node name="Panel" type="Panel" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/MarginContainer"] +custom_minimum_size = Vector2(110, 110) +layout_mode = 2 +size_flags_horizontal = 4 +size_flags_vertical = 4 +theme_override_styles/panel = SubResource("StyleBoxFlat_cb0xf") + +[node name="TextureRect" type="TextureRect" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -50.0 +offset_top = -50.0 +offset_right = 50.0 +offset_bottom = 50.0 +grow_horizontal = 2 +grow_vertical = 2 +expand_mode = 1 + +[node name="TextureButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/normal = SubResource("StyleBoxEmpty_7qdas") + +[node name="HeightWHHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox"] +layout_mode = 2 +alignment = 1 + +[node name="HeightW" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HeightWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="HeightH" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HeightWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="HBoxContainer2" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox"] +layout_mode = 2 +alignment = 1 + +[node name="ConvertDepthToHeight" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HBoxContainer2"] +layout_mode = 2 +text = " Convert Depth to Height" +icon_alignment = 2 + +[node name="HBoxContainer3" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox"] +layout_mode = 2 +alignment = 1 + +[node name="NormalizeHeight" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HBoxContainer3"] +layout_mode = 2 +text = "Normalize Height" +icon_alignment = 2 + +[node name="HBoxContainer" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox"] +layout_mode = 2 +alignment = 1 + +[node name="HeightChannelLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HBoxContainer"] +layout_mode = 2 +text = " Source Channel: " +horizontal_alignment = 2 + +[node name="HeightChannelR" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_pressed = true +button_group = SubResource("ButtonGroup_wnxik") +text = "R" + +[node name="HeightChannelB" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_group = SubResource("ButtonGroup_wnxik") +text = "G" + +[node name="HeightChannelG" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_group = SubResource("ButtonGroup_wnxik") +text = "B" + +[node name="HeightChannelA" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/AlbedoHeightPanel/MarginContainer/HBoxContainer/HeightVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_group = SubResource("ButtonGroup_wnxik") +text = "A" + +[node name="NormalRoughnessPanel" type="PanelContainer" parent="PanelContainer/MarginContainer/VBoxContainer"] +layout_mode = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_lcvna") + +[node name="MarginContainer" type="MarginContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel"] +layout_mode = 2 +theme_override_constants/margin_left = 10 +theme_override_constants/margin_top = 10 +theme_override_constants/margin_right = 10 +theme_override_constants/margin_bottom = 10 + +[node name="HBoxContainer" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer"] +layout_mode = 2 + +[node name="NormalVBox" type="VBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="NormalLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox"] +layout_mode = 2 +text = "Normal texture" + +[node name="NormalHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox"] +layout_mode = 2 + +[node name="LineEdit" type="LineEdit" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/NormalHBox"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="PickButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/NormalHBox"] +layout_mode = 2 + +[node name="ClearButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/NormalHBox"] +layout_mode = 2 + +[node name="MarginContainer" type="MarginContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox"] +layout_mode = 2 +size_flags_vertical = 4 +theme_override_constants/margin_top = 10 + +[node name="Panel" type="Panel" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/MarginContainer"] +custom_minimum_size = Vector2(110, 110) +layout_mode = 2 +size_flags_horizontal = 4 +size_flags_vertical = 4 +theme_override_styles/panel = SubResource("StyleBoxFlat_cb0xf") + +[node name="TextureRect" type="TextureRect" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -50.0 +offset_top = -50.0 +offset_right = 50.0 +offset_bottom = 50.0 +grow_horizontal = 2 +grow_vertical = 2 +expand_mode = 1 + +[node name="TextureButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/normal = SubResource("StyleBoxEmpty_7qdas") + +[node name="NormalWHHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox"] +layout_mode = 2 +alignment = 1 + +[node name="NormalW" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/NormalWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="NormalH" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/NormalWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="HBoxContainer" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox"] +layout_mode = 2 +alignment = 1 + +[node name="InvertGreenChannelCheckBox" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/HBoxContainer"] +layout_mode = 2 +text = " Convert DirectX to OpenGL" + +[node name="HBoxContainer2" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox"] +layout_mode = 2 +alignment = 1 + +[node name="AlignNormalsCheckBox" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/NormalVBox/HBoxContainer2"] +layout_mode = 2 +text = " Orthoganolise Normals" + +[node name="RoughnessVBox" type="VBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="RoughnessLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox"] +layout_mode = 2 +text = "Roughness texture" + +[node name="RoughnessHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox"] +layout_mode = 2 + +[node name="LineEdit" type="LineEdit" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/RoughnessHBox"] +layout_mode = 2 +size_flags_horizontal = 3 + +[node name="PickButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/RoughnessHBox"] +layout_mode = 2 + +[node name="ClearButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/RoughnessHBox"] +layout_mode = 2 + +[node name="MarginContainer" type="MarginContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox"] +layout_mode = 2 +size_flags_vertical = 4 +theme_override_constants/margin_top = 10 + +[node name="Panel" type="Panel" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/MarginContainer"] +custom_minimum_size = Vector2(110, 110) +layout_mode = 2 +size_flags_horizontal = 4 +size_flags_vertical = 4 +theme_override_styles/panel = SubResource("StyleBoxFlat_cb0xf") + +[node name="TextureRect" type="TextureRect" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 8 +anchor_left = 0.5 +anchor_top = 0.5 +anchor_right = 0.5 +anchor_bottom = 0.5 +offset_left = -50.0 +offset_top = -50.0 +offset_right = 50.0 +offset_bottom = 50.0 +grow_horizontal = 2 +grow_vertical = 2 +expand_mode = 1 + +[node name="TextureButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/MarginContainer/Panel"] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/normal = SubResource("StyleBoxEmpty_7qdas") + +[node name="RoughnessWHHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox"] +layout_mode = 2 +alignment = 1 + +[node name="RoughnessW" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/RoughnessWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="RoughnessH" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/RoughnessWHHBox"] +layout_mode = 2 +horizontal_alignment = 1 + +[node name="HBoxContainer2" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox"] +layout_mode = 2 +alignment = 1 + +[node name="InvertSmoothCheckBox" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/HBoxContainer2"] +layout_mode = 2 +text = " Convert Smoothness to Roughness" + +[node name="HBoxContainer" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox"] +layout_mode = 2 +alignment = 1 + +[node name="RoughnessChannelLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/HBoxContainer"] +layout_mode = 2 +text = " Source Channel: " +horizontal_alignment = 2 + +[node name="RoughnessChannelR" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_pressed = true +button_group = SubResource("ButtonGroup_bs6ki") +text = "R" + +[node name="RoughnessChannelG" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_group = SubResource("ButtonGroup_bs6ki") +text = "G" + +[node name="RoughnessChannelB" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_group = SubResource("ButtonGroup_bs6ki") +text = "B" + +[node name="RoughnessChannelA" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/NormalRoughnessPanel/MarginContainer/HBoxContainer/RoughnessVBox/HBoxContainer"] +layout_mode = 2 +toggle_mode = true +button_group = SubResource("ButtonGroup_bs6ki") +text = "A" + +[node name="GeneralOptionsLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer"] +layout_mode = 2 +text = "General Options" +horizontal_alignment = 1 +vertical_alignment = 1 + +[node name="GeneralOptionsHBox" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer"] +layout_mode = 2 +alignment = 1 + +[node name="ResizeToggle" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/GeneralOptionsHBox"] +layout_mode = 2 +text = " Resize Packed Image" + +[node name="ResizeOptionButton" type="SpinBox" parent="PanelContainer/MarginContainer/VBoxContainer/GeneralOptionsHBox"] +visible = false +layout_mode = 2 +tooltip_text = "A value of 0 disables resizing." +min_value = 128.0 +max_value = 4096.0 +step = 128.0 +value = 1024.0 + +[node name="VSeparator" type="VSeparator" parent="PanelContainer/MarginContainer/VBoxContainer/GeneralOptionsHBox"] +layout_mode = 2 + +[node name="GenerateMipmapsCheckBox" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/GeneralOptionsHBox"] +layout_mode = 2 +button_pressed = true +text = "Generate Mipmaps" + +[node name="HighQualityCheckBox" type="CheckBox" parent="PanelContainer/MarginContainer/VBoxContainer/GeneralOptionsHBox"] +layout_mode = 2 +text = "Import High Quality" + +[node name="PackButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer"] +layout_mode = 2 +text = "Pack textures as..." + +[node name="StatusLabel" type="Label" parent="PanelContainer/MarginContainer/VBoxContainer"] +custom_minimum_size = Vector2(0, 60) +layout_mode = 2 +horizontal_alignment = 1 +autowrap_mode = 3 + +[node name="HBoxContainer" type="HBoxContainer" parent="PanelContainer/MarginContainer/VBoxContainer"] +layout_mode = 2 +alignment = 1 + +[node name="CloseButton" type="Button" parent="PanelContainer/MarginContainer/VBoxContainer/HBoxContainer"] +layout_mode = 2 +text = "Close" + +[connection signal="toggled" from="PanelContainer/MarginContainer/VBoxContainer/GeneralOptionsHBox/ResizeToggle" to="PanelContainer/MarginContainer/VBoxContainer/GeneralOptionsHBox/ResizeOptionButton" method="set_visible"] diff --git a/addons/terrain_3d/menu/channel_packer_dragdrop.gd b/addons/terrain_3d/menu/channel_packer_dragdrop.gd new file mode 100644 index 0000000..154c8ad --- /dev/null +++ b/addons/terrain_3d/menu/channel_packer_dragdrop.gd @@ -0,0 +1,17 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Channel Packer Dragdropper for Terrain3D +@tool +extends Button + +signal dropped + +func _can_drop_data(p_position, p_data) -> bool: + if typeof(p_data) == TYPE_DICTIONARY: + if p_data.files.size() == 1: + match p_data.files[0].get_extension(): + "png", "bmp", "exr", "hdr", "jpg", "jpeg", "tga", "svg", "webp", "ktx", "dds": + return true + return false + +func _drop_data(p_position, p_data) -> void: + dropped.emit(p_data.files[0]) diff --git a/addons/terrain_3d/menu/channel_packer_dragdrop.gd.uid b/addons/terrain_3d/menu/channel_packer_dragdrop.gd.uid new file mode 100644 index 0000000..d9a59e3 --- /dev/null +++ b/addons/terrain_3d/menu/channel_packer_dragdrop.gd.uid @@ -0,0 +1 @@ +uid://br45krrqbw8bg diff --git a/addons/terrain_3d/menu/channel_packer_import_template.txt b/addons/terrain_3d/menu/channel_packer_import_template.txt new file mode 100644 index 0000000..55003e3 --- /dev/null +++ b/addons/terrain_3d/menu/channel_packer_import_template.txt @@ -0,0 +1,32 @@ +[remap] + +importer="texture" +type="CompressedTexture2D" +metadata={ +"imported_formats": ["s3tc_bptc"], +"vram_texture": true +} + +[deps] + +source_file="$SOURCE_FILE" + +[params] + +compress/mode=2 +compress/high_quality=$HIGH_QUALITY +compress/lossy_quality=0.7 +compress/hdr_compression=1 +compress/normal_map=2 +compress/channel_pack=0 +mipmaps/generate=$GENERATE_MIPMAPS +mipmaps/limit=-1 +roughness/mode=0 +roughness/src_normal="" +process/fix_alpha_border=true +process/premult_alpha=false +process/normal_map_invert_y=false +process/hdr_as_srgb=false +process/hdr_clamp_exposure=false +process/size_limit=0 +detect_3d/compress_to=1 diff --git a/addons/terrain_3d/menu/directory_setup.gd b/addons/terrain_3d/menu/directory_setup.gd new file mode 100644 index 0000000..b851747 --- /dev/null +++ b/addons/terrain_3d/menu/directory_setup.gd @@ -0,0 +1,86 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Directory Setup for Terrain3D +extends Node + +const DIRECTORY_SETUP: String = "res://addons/terrain_3d/menu/directory_setup.tscn" + +var plugin: EditorPlugin +var dialog: ConfirmationDialog +var select_dir_btn: Button +var selected_dir_le: LineEdit +var editor_file_dialog: EditorFileDialog + + +func _init() -> void: + editor_file_dialog = EditorFileDialog.new() + editor_file_dialog.set_filters(PackedStringArray(["*.res"])) + editor_file_dialog.set_file_mode(EditorFileDialog.FILE_MODE_SAVE_FILE) + editor_file_dialog.access = EditorFileDialog.ACCESS_RESOURCES + editor_file_dialog.ok_button_text = "Open" + editor_file_dialog.title = "Open a folder or file" + editor_file_dialog.dir_selected.connect(_on_dir_selected) + editor_file_dialog.size = Vector2i(850, 550) + editor_file_dialog.transient = false + editor_file_dialog.exclusive = false + editor_file_dialog.popup_window = true + add_child(editor_file_dialog) + + +func directory_setup_popup() -> void: + dialog = load(DIRECTORY_SETUP).instantiate() + dialog.hide() + + # Nodes + select_dir_btn = dialog.get_node("Margin/VBox/DirHBox/SelectDir") + selected_dir_le = dialog.get_node("Margin/VBox/DirHBox/LineEdit") + + if plugin.terrain.data_directory: + selected_dir_le.text = plugin.terrain.data_directory + + # Icons + plugin.ui.set_button_editor_icon(select_dir_btn, "Folder") + + #Signals + select_dir_btn.pressed.connect(_on_select_file_pressed.bind(EditorFileDialog.FILE_MODE_OPEN_DIR)) + dialog.confirmed.connect(_on_close_requested) + dialog.canceled.connect(_on_close_requested) + dialog.get_ok_button().pressed.connect(_on_ok_pressed) + + # Popup + EditorInterface.popup_dialog_centered(dialog) + + +func _on_close_requested() -> void: + dialog.queue_free() + dialog = null + + +func _on_select_file_pressed(file_mode: EditorFileDialog.FileMode) -> void: + editor_file_dialog.file_mode = file_mode + editor_file_dialog.popup_centered() + + +func _on_dir_selected(path: String) -> void: + selected_dir_le.text = path + + +func _on_ok_pressed() -> void: + if not plugin.terrain: + push_error("Not connected terrain. Click the Terrain3D node first") + return + if selected_dir_le.text.is_empty(): + push_error("No data directory specified") + return + if not DirAccess.dir_exists_absolute(selected_dir_le.text): + push_error("Directory doesn't exist: ", selected_dir_le.text) + return + # Check if directory empty of terrain files + var data_found: bool = false + var files: Array = DirAccess.get_files_at(selected_dir_le.text) + for file in files: + if file.begins_with("terrain3d") || file.ends_with(".res"): + data_found = true + break + + print("Setting terrain directory: ", selected_dir_le.text) + plugin.terrain.data_directory = selected_dir_le.text diff --git a/addons/terrain_3d/menu/directory_setup.gd.uid b/addons/terrain_3d/menu/directory_setup.gd.uid new file mode 100644 index 0000000..de0b12f --- /dev/null +++ b/addons/terrain_3d/menu/directory_setup.gd.uid @@ -0,0 +1 @@ +uid://0034ukv2mngn diff --git a/addons/terrain_3d/menu/directory_setup.tscn b/addons/terrain_3d/menu/directory_setup.tscn new file mode 100644 index 0000000..d5dabc5 --- /dev/null +++ b/addons/terrain_3d/menu/directory_setup.tscn @@ -0,0 +1,48 @@ +[gd_scene format=3 uid="uid://by3kr2nqbqr67"] + +[node name="DirectorySetup" type="ConfirmationDialog"] +title = "Terrain3D Data Directory Setup" +position = Vector2i(0, 36) +size = Vector2i(750, 330) +visible = true + +[node name="Margin" type="MarginContainer" parent="."] +offset_left = 8.0 +offset_top = 8.0 +offset_right = 742.0 +offset_bottom = 281.0 +theme_override_constants/margin_left = 20 +theme_override_constants/margin_top = 20 +theme_override_constants/margin_right = 20 +theme_override_constants/margin_bottom = 20 + +[node name="VBox" type="VBoxContainer" parent="Margin"] +layout_mode = 2 + +[node name="Instructions" type="Label" parent="Margin/VBox"] +custom_minimum_size = Vector2(400, 0) +layout_mode = 2 +text = "Terrain3D now stores data in a directory instead of a single file. Each region is stored in a separate file named `terrain3d[-_]##[-_]##.res`. For instance, the region at location (-1, 1) would be named `terrain3d-01_01.res`. Enable Terrain3D / Debug / Show Region Labels for a visual display." +autowrap_mode = 3 + +[node name="DirectoryLabel" type="Label" parent="Margin/VBox"] +custom_minimum_size = Vector2(400, 0) +layout_mode = 2 +text = " +Specify the directory to store your data. Any existing region files will be loaded." +autowrap_mode = 3 + +[node name="DirHBox" type="HBoxContainer" parent="Margin/VBox"] +layout_mode = 2 + +[node name="LineEdit" type="LineEdit" parent="Margin/VBox/DirHBox"] +layout_mode = 2 +size_flags_horizontal = 3 +placeholder_text = "Data directory" + +[node name="SelectDir" type="Button" parent="Margin/VBox/DirHBox"] +layout_mode = 2 + +[node name="Spacer" type="Control" parent="Margin/VBox"] +custom_minimum_size = Vector2(0, 40) +layout_mode = 2 diff --git a/addons/terrain_3d/menu/terrain_menu.gd b/addons/terrain_3d/menu/terrain_menu.gd new file mode 100644 index 0000000..c53656f --- /dev/null +++ b/addons/terrain_3d/menu/terrain_menu.gd @@ -0,0 +1,83 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Menu for Terrain3D +extends HBoxContainer + + +const DirectoryWizard: Script = preload("res://addons/terrain_3d/menu/directory_setup.gd") +const Packer: Script = preload("res://addons/terrain_3d/menu/channel_packer.gd") +const Baker: Script = preload("res://addons/terrain_3d/menu/baker.gd") + +var plugin: EditorPlugin +var menu_button: MenuButton = MenuButton.new() +var directory_setup: DirectoryWizard = DirectoryWizard.new() +var packer: Packer = Packer.new() +var baker: Baker = Baker.new() + +# These are IDs and order must be consistent with add_item and set_disabled IDs +enum { + MENU_DIRECTORY_SETUP, + MENU_PACK_TEXTURES, + MENU_SEPARATOR, + MENU_BAKE_ARRAY_MESH, + MENU_BAKE_OCCLUDER, + MENU_SEPARATOR2, + MENU_SET_UP_NAVIGATION, + MENU_BAKE_NAV_MESH, +} + + +func _enter_tree() -> void: + directory_setup.plugin = plugin + packer.plugin = plugin + baker.plugin = plugin + add_child(directory_setup) + add_child(baker) + + menu_button.text = "Terrain3D" + menu_button.get_popup().add_item("Directory Setup...", MENU_DIRECTORY_SETUP) + menu_button.get_popup().add_item("Pack Textures...", MENU_PACK_TEXTURES) + menu_button.get_popup().add_separator("", MENU_SEPARATOR) + menu_button.get_popup().add_item("Bake ArrayMesh...", MENU_BAKE_ARRAY_MESH) + menu_button.get_popup().add_item("Bake Occluder3D...", MENU_BAKE_OCCLUDER) + menu_button.get_popup().add_separator("", MENU_SEPARATOR2) + menu_button.get_popup().add_item("Set up Navigation...", MENU_SET_UP_NAVIGATION) + menu_button.get_popup().add_item("Bake NavMesh...", MENU_BAKE_NAV_MESH) + + menu_button.get_popup().id_pressed.connect(_on_menu_pressed) + menu_button.about_to_popup.connect(_on_menu_about_to_popup) + add_child(menu_button) + + +func _on_menu_pressed(p_id: int) -> void: + match p_id: + MENU_DIRECTORY_SETUP: + directory_setup.directory_setup_popup() + MENU_PACK_TEXTURES: + packer.pack_textures_popup() + MENU_BAKE_ARRAY_MESH: + baker.bake_mesh_popup() + MENU_BAKE_OCCLUDER: + baker.bake_occluder_popup() + MENU_SET_UP_NAVIGATION: + baker.set_up_navigation_popup() + MENU_BAKE_NAV_MESH: + baker.bake_nav_mesh() + + +func _on_menu_about_to_popup() -> void: + menu_button.get_popup().set_item_disabled(MENU_DIRECTORY_SETUP, not plugin.terrain) + menu_button.get_popup().set_item_disabled(MENU_PACK_TEXTURES, not plugin.terrain) + menu_button.get_popup().set_item_disabled(MENU_BAKE_ARRAY_MESH, not plugin.terrain) + menu_button.get_popup().set_item_disabled(MENU_BAKE_OCCLUDER, not plugin.terrain) + + if plugin.terrain: + var nav_regions: Array[NavigationRegion3D] = baker.find_terrain_nav_regions(plugin.terrain) + menu_button.get_popup().set_item_disabled(MENU_BAKE_NAV_MESH, nav_regions.size() == 0) + menu_button.get_popup().set_item_disabled(MENU_SET_UP_NAVIGATION, nav_regions.size() != 0) + elif plugin.nav_region: + var terrains: Array[Terrain3D] = baker.find_nav_region_terrains(plugin.nav_region) + menu_button.get_popup().set_item_disabled(MENU_BAKE_NAV_MESH, terrains.size() == 0) + menu_button.get_popup().set_item_disabled(MENU_SET_UP_NAVIGATION, true) + else: + menu_button.get_popup().set_item_disabled(MENU_BAKE_NAV_MESH, true) + menu_button.get_popup().set_item_disabled(MENU_SET_UP_NAVIGATION, true) diff --git a/addons/terrain_3d/menu/terrain_menu.gd.uid b/addons/terrain_3d/menu/terrain_menu.gd.uid new file mode 100644 index 0000000..b1b1cea --- /dev/null +++ b/addons/terrain_3d/menu/terrain_menu.gd.uid @@ -0,0 +1 @@ +uid://3gxvahogxa10 diff --git a/addons/terrain_3d/plugin.cfg b/addons/terrain_3d/plugin.cfg new file mode 100644 index 0000000..6171d9c --- /dev/null +++ b/addons/terrain_3d/plugin.cfg @@ -0,0 +1,7 @@ +[plugin] + +name="Terrain3D" +description="A high performance, editable terrain system for Godot 4." +author="Cory Petkovsek & Roope Palmroos" +version="1.0.1" +script="src/editor_plugin.gd" diff --git a/addons/terrain_3d/src/asset_dock.gd b/addons/terrain_3d/src/asset_dock.gd new file mode 100644 index 0000000..58c67c1 --- /dev/null +++ b/addons/terrain_3d/src/asset_dock.gd @@ -0,0 +1,883 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Asset Dock for Terrain3D +@tool +extends PanelContainer + +signal confirmation_closed +signal confirmation_confirmed +signal confirmation_canceled + +const ES_DOCK_SLOT: String = "terrain3d/dock/slot" +const ES_DOCK_TILE_SIZE: String = "terrain3d/dock/tile_size" +const ES_DOCK_FLOATING: String = "terrain3d/dock/floating" +const ES_DOCK_PINNED: String = "terrain3d/dock/always_on_top" +const ES_DOCK_WINDOW_POSITION: String = "terrain3d/dock/window_position" +const ES_DOCK_WINDOW_SIZE: String = "terrain3d/dock/window_size" +const ES_DOCK_TAB: String = "terrain3d/dock/tab" + +var texture_list: ListContainer +var mesh_list: ListContainer +var _current_list: ListContainer +var _last_thumb_update_time: int = 0 +const MAX_UPDATE_TIME: int = 1000 + +var placement_opt: OptionButton +var floating_btn: Button +var pinned_btn: Button +var size_slider: HSlider +var box: BoxContainer +var buttons: BoxContainer +var textures_btn: Button +var meshes_btn: Button +var asset_container: ScrollContainer +var confirm_dialog: ConfirmationDialog +var _confirmed: bool = false + +# Used only for editor, so change to single visible/hiddden +enum { + HIDDEN = -1, + SIDEBAR = 0, + BOTTOM = 1, + WINDOWED = 2, +} +var state: int = HIDDEN + +enum { + POS_LEFT_UL = 0, + POS_LEFT_BL = 1, + POS_LEFT_UR = 2, + POS_LEFT_BR = 3, + POS_RIGHT_UL = 4, + POS_RIGHT_BL = 5, + POS_RIGHT_UR = 6, + POS_RIGHT_BR = 7, + POS_BOTTOM = 8, + POS_MAX = 9, +} +var slot: int = POS_RIGHT_BR +var _initialized: bool = false +var plugin: EditorPlugin +var window: Window +var _godot_last_state: Window.Mode = Window.MODE_FULLSCREEN + + +func initialize(p_plugin: EditorPlugin) -> void: + if p_plugin: + plugin = p_plugin + + _godot_last_state = plugin.godot_editor_window.mode + placement_opt = $Box/Buttons/PlacementOpt + pinned_btn = $Box/Buttons/Pinned + floating_btn = $Box/Buttons/Floating + floating_btn.owner = null + size_slider = $Box/Buttons/SizeSlider + size_slider.owner = null + box = $Box + buttons = $Box/Buttons + textures_btn = $Box/Buttons/TexturesBtn + meshes_btn = $Box/Buttons/MeshesBtn + asset_container = $Box/ScrollContainer + + texture_list = ListContainer.new() + texture_list.plugin = plugin + texture_list.type = Terrain3DAssets.TYPE_TEXTURE + asset_container.add_child(texture_list) + mesh_list = ListContainer.new() + mesh_list.plugin = plugin + mesh_list.type = Terrain3DAssets.TYPE_MESH + mesh_list.visible = false + asset_container.add_child(mesh_list) + _current_list = texture_list + + load_editor_settings() + + # Connect signals + resized.connect(update_layout) + textures_btn.pressed.connect(_on_textures_pressed) + meshes_btn.pressed.connect(_on_meshes_pressed) + placement_opt.item_selected.connect(set_slot) + floating_btn.pressed.connect(make_dock_float) + pinned_btn.toggled.connect(_on_pin_changed) + pinned_btn.visible = ( window != null ) + size_slider.value_changed.connect(_on_slider_changed) + plugin.ui.toolbar.tool_changed.connect(_on_tool_changed) + + meshes_btn.add_theme_font_size_override("font_size", 16 * EditorInterface.get_editor_scale()) + textures_btn.add_theme_font_size_override("font_size", 16 * EditorInterface.get_editor_scale()) + + _initialized = true + update_dock() + update_layout() + + +func _ready() -> void: + if not _initialized: + return + + # Setup styles + set("theme_override_styles/panel", get_theme_stylebox("panel", "Panel")) + # Avoid saving icon resources in tscn when editing w/ a tool script + if EditorInterface.get_edited_scene_root() != self: + pinned_btn.icon = get_theme_icon("Pin", "EditorIcons") + pinned_btn.text = "" + floating_btn.icon = get_theme_icon("MakeFloating", "EditorIcons") + floating_btn.text = "" + + update_thumbnails() + confirm_dialog = ConfirmationDialog.new() + add_child(confirm_dialog) + confirm_dialog.hide() + confirm_dialog.confirmed.connect(func(): _confirmed = true; \ + emit_signal("confirmation_closed"); \ + emit_signal("confirmation_confirmed") ) + confirm_dialog.canceled.connect(func(): _confirmed = false; \ + emit_signal("confirmation_closed"); \ + emit_signal("confirmation_canceled") ) + + +func get_current_list() -> ListContainer: + return _current_list + + +## Dock placement + +func set_slot(p_slot: int) -> void: + p_slot = clamp(p_slot, 0, POS_MAX-1) + + if slot != p_slot: + slot = p_slot + placement_opt.selected = slot + save_editor_settings() + plugin.select_terrain() + update_dock() + + +func remove_dock(p_force: bool = false) -> void: + if state == SIDEBAR: + plugin.remove_control_from_docks(self) + state = HIDDEN + + elif state == BOTTOM: + plugin.remove_control_from_bottom_panel(self) + state = HIDDEN + + # If windowed and destination is not window or final exit, otherwise leave + elif state == WINDOWED and p_force and window: + var parent: Node = get_parent() + if parent: + parent.remove_child(self) + plugin.godot_editor_window.mouse_entered.disconnect(_on_godot_window_entered) + plugin.godot_editor_window.focus_entered.disconnect(_on_godot_focus_entered) + plugin.godot_editor_window.focus_exited.disconnect(_on_godot_focus_exited) + window.hide() + window.queue_free() + window = null + floating_btn.button_pressed = false + floating_btn.visible = true + pinned_btn.visible = false + placement_opt.visible = true + state = HIDDEN + update_dock() # return window to side/bottom + + +func update_dock() -> void: + if not _initialized or window: + return + + update_assets() + + # Move dock to new destination + remove_dock() + # Sidebar + if slot < POS_BOTTOM: + state = SIDEBAR + plugin.add_control_to_dock(slot, self) + # Bottom + elif slot == POS_BOTTOM: + state = BOTTOM + plugin.add_control_to_bottom_panel(self, "Terrain3D") + plugin.make_bottom_panel_item_visible(self) + + +func update_layout() -> void: + if not _initialized: + return + + # Detect if we have a new window from Make floating, grab it so we can free it properly + if not window and get_parent() and get_parent().get_parent() is Window: + window = get_parent().get_parent() + make_dock_float() + return # Will call this function again upon display + + var size_parent: Control = size_slider.get_parent() + # Vertical layout in window / sidebar + if window or slot < POS_BOTTOM: + box.vertical = true + buttons.vertical = false + + if size.x >= 500 and size_parent != buttons: + size_slider.reparent(buttons) + buttons.move_child(size_slider, 3) + elif size.x < 500 and size_parent != box: + size_slider.reparent(box) + box.move_child(size_slider, 1) + floating_btn.reparent(buttons) + buttons.move_child(floating_btn, 4) + + # Wide layout on bottom bar + else: + size_slider.reparent(buttons) + buttons.move_child(size_slider, 3) + floating_btn.reparent(box) + box.vertical = false + buttons.vertical = true + + save_editor_settings() + + +func update_thumbnails() -> void: + if not is_instance_valid(plugin.terrain): + return + if _current_list.type == Terrain3DAssets.TYPE_MESH and \ + Time.get_ticks_msec() - _last_thumb_update_time > MAX_UPDATE_TIME: + plugin.terrain.assets.create_mesh_thumbnails() + _last_thumb_update_time = Time.get_ticks_msec() + for mesh_asset in mesh_list.entries: + mesh_asset.queue_redraw() + + +## Dock Button handlers + + +func _on_pin_changed(toggled: bool) -> void: + if window: + window.always_on_top = pinned_btn.button_pressed + save_editor_settings() + + +func _on_slider_changed(value: float) -> void: + if texture_list: + texture_list.set_entry_width(value) + if mesh_list: + mesh_list.set_entry_width(value) + save_editor_settings() + + +func _on_textures_pressed() -> void: + _current_list = texture_list + texture_list.update_asset_list() + texture_list.visible = true + mesh_list.visible = false + textures_btn.button_pressed = true + meshes_btn.button_pressed = false + texture_list.set_selected_id(texture_list.selected_id) + if plugin.is_terrain_valid(): + EditorInterface.edit_node(plugin.terrain) + save_editor_settings() + + +func _on_meshes_pressed() -> void: + _current_list = mesh_list + mesh_list.update_asset_list() + mesh_list.visible = true + texture_list.visible = false + meshes_btn.button_pressed = true + textures_btn.button_pressed = false + mesh_list.set_selected_id(mesh_list.selected_id) + if plugin.is_terrain_valid(): + EditorInterface.edit_node(plugin.terrain) + update_thumbnails() + save_editor_settings() + + +func _on_tool_changed(p_tool: Terrain3DEditor.Tool, p_operation: Terrain3DEditor.Operation) -> void: + if p_tool == Terrain3DEditor.INSTANCER: + _on_meshes_pressed() + elif p_tool in [ Terrain3DEditor.TEXTURE, Terrain3DEditor.COLOR, Terrain3DEditor.ROUGHNESS ]: + _on_textures_pressed() + + +## Update Dock Contents + + +func update_assets() -> void: + if not _initialized: + return + + # Verify signals to individual lists + if plugin.is_terrain_valid() and plugin.terrain.assets: + if not plugin.terrain.assets.textures_changed.is_connected(texture_list.update_asset_list): + plugin.terrain.assets.textures_changed.connect(texture_list.update_asset_list) + if not plugin.terrain.assets.meshes_changed.is_connected(mesh_list.update_asset_list): + plugin.terrain.assets.meshes_changed.connect(mesh_list.update_asset_list) + + _current_list.update_asset_list() + + +## Window Management + + +func make_dock_float() -> void: + # If not already created (eg from editor panel 'Make Floating' button) + if not window: + remove_dock() + create_window() + + state = WINDOWED + visible = true # Asset dock contents are hidden when popping out of the bottom! + pinned_btn.visible = true + floating_btn.visible = false + placement_opt.visible = false + window.title = "Terrain3D Asset Dock" + window.always_on_top = pinned_btn.button_pressed + window.close_requested.connect(remove_dock.bind(true)) + window.window_input.connect(_on_window_input) + window.focus_exited.connect(save_editor_settings) + window.mouse_exited.connect(save_editor_settings) + window.size_changed.connect(save_editor_settings) + plugin.godot_editor_window.mouse_entered.connect(_on_godot_window_entered) + plugin.godot_editor_window.focus_entered.connect(_on_godot_focus_entered) + plugin.godot_editor_window.focus_exited.connect(_on_godot_focus_exited) + plugin.godot_editor_window.grab_focus() + update_assets() + save_editor_settings() + + +func create_window() -> void: + window = Window.new() + window.wrap_controls = true + var mc := MarginContainer.new() + mc.set_anchors_preset(PRESET_FULL_RECT, false) + mc.add_child(self) + window.add_child(mc) + window.set_transient(false) + window.set_size(plugin.get_setting(ES_DOCK_WINDOW_SIZE, Vector2i(512, 512))) + window.set_position(plugin.get_setting(ES_DOCK_WINDOW_POSITION, Vector2i(704, 284))) + plugin.add_child(window) + window.show() + + +func clamp_window_position() -> void: + if window and window.visible: + var bounds: Vector2i + if EditorInterface.get_editor_settings().get_setting("interface/editor/single_window_mode"): + bounds = EditorInterface.get_base_control().size + else: + bounds = DisplayServer.screen_get_position(window.current_screen) + bounds += DisplayServer.screen_get_size(window.current_screen) + var margin: int = 40 + window.position.x = clamp(window.position.x, -window.size.x + 2*margin, bounds.x - margin) + window.position.y = clamp(window.position.y, 25, bounds.y - margin) + + +func _on_window_input(event: InputEvent) -> void: + # Capture CTRL+S when doc focused to save scene + if event is InputEventKey and event.keycode == KEY_S and event.pressed and event.is_command_or_control_pressed(): + save_editor_settings() + EditorInterface.save_scene() + + +func _on_godot_window_entered() -> void: + if is_instance_valid(window) and window.has_focus(): + plugin.godot_editor_window.grab_focus() + + +func _on_godot_focus_entered() -> void: + # If asset dock is windowed, and Godot was minimized, and now is not, restore asset dock window + if is_instance_valid(window): + if _godot_last_state == Window.MODE_MINIMIZED and plugin.godot_editor_window.mode != Window.MODE_MINIMIZED: + window.show() + _godot_last_state = plugin.godot_editor_window.mode + plugin.godot_editor_window.grab_focus() + + +func _on_godot_focus_exited() -> void: + if is_instance_valid(window) and plugin.godot_editor_window.mode == Window.MODE_MINIMIZED: + window.hide() + _godot_last_state = plugin.godot_editor_window.mode + + +## Manage Editor Settings + +func load_editor_settings() -> void: + floating_btn.button_pressed = plugin.get_setting(ES_DOCK_FLOATING, false) + pinned_btn.button_pressed = plugin.get_setting(ES_DOCK_PINNED, true) + size_slider.value = plugin.get_setting(ES_DOCK_TILE_SIZE, 83) + _on_slider_changed(size_slider.value) + set_slot(plugin.get_setting(ES_DOCK_SLOT, POS_BOTTOM)) + if floating_btn.button_pressed: + make_dock_float() + # TODO Don't save tab until thumbnail generation more reliable + #if plugin.get_setting(ES_DOCK_TAB, 0) == 1: + # _on_meshes_pressed() + + +func save_editor_settings() -> void: + if not _initialized: + return + clamp_window_position() + plugin.set_setting(ES_DOCK_SLOT, slot) + plugin.set_setting(ES_DOCK_TILE_SIZE, size_slider.value) + plugin.set_setting(ES_DOCK_FLOATING, floating_btn.button_pressed) + plugin.set_setting(ES_DOCK_PINNED, pinned_btn.button_pressed) + # TODO Don't save tab until thumbnail generation more reliable + # plugin.set_setting(ES_DOCK_TAB, 0 if _current_list == texture_list else 1) + if window: + plugin.set_setting(ES_DOCK_WINDOW_SIZE, window.size) + plugin.set_setting(ES_DOCK_WINDOW_POSITION, window.position) + + +############################################################## +## class ListContainer +############################################################## + + +class ListContainer extends Container: + var plugin: EditorPlugin + var type := Terrain3DAssets.TYPE_TEXTURE + var entries: Array[ListEntry] + var selected_id: int = 0 + var height: float = 0 + var width: float = 83 + var focus_style: StyleBox + + + func _ready() -> void: + set_v_size_flags(SIZE_EXPAND_FILL) + set_h_size_flags(SIZE_EXPAND_FILL) + + + func clear() -> void: + for e in entries: + e.get_parent().remove_child(e) + e.queue_free() + entries.clear() + + + func update_asset_list() -> void: + clear() + + # Grab terrain + var t: Terrain3D + if plugin.is_terrain_valid(): + t = plugin.terrain + elif is_instance_valid(plugin._last_terrain) and plugin.is_terrain_valid(plugin._last_terrain): + t = plugin._last_terrain + else: + return + + if not t.assets: + return + + if type == Terrain3DAssets.TYPE_TEXTURE: + var texture_count: int = t.assets.get_texture_count() + for i in texture_count: + var texture: Terrain3DTextureAsset = t.assets.get_texture(i) + add_item(texture) + if texture_count < Terrain3DAssets.MAX_TEXTURES: + add_item() + else: + var mesh_count: int = t.assets.get_mesh_count() + for i in mesh_count: + var mesh: Terrain3DMeshAsset = t.assets.get_mesh_asset(i) + add_item(mesh, t.assets) + if mesh_count < Terrain3DAssets.MAX_MESHES: + add_item() + if selected_id >= mesh_count or selected_id < 0: + set_selected_id(0) + + + func add_item(p_resource: Resource = null, p_assets: Terrain3DAssets = null) -> void: + var entry: ListEntry = ListEntry.new() + entry.focus_style = focus_style + var id: int = entries.size() + + entry.set_edited_resource(p_resource) + entry.hovered.connect(_on_resource_hovered.bind(id)) + entry.selected.connect(set_selected_id.bind(id)) + entry.inspected.connect(_on_resource_inspected) + entry.changed.connect(_on_resource_changed.bind(id)) + entry.type = type + entry.asset_list = p_assets + add_child(entry) + entries.push_back(entry) + + if p_resource: + entry.set_selected(id == selected_id) + if not p_resource.id_changed.is_connected(set_selected_after_swap): + p_resource.id_changed.connect(set_selected_after_swap) + + + func _on_resource_hovered(p_id: int): + if type == Terrain3DAssets.TYPE_MESH: + if plugin.terrain: + plugin.terrain.assets.create_mesh_thumbnails(p_id) + + + func set_selected_after_swap(p_type: Terrain3DAssets.AssetType, p_old_id: int, p_new_id: int) -> void: + set_selected_id(clamp(p_new_id, 0, entries.size() - 2)) + + + func set_selected_id(p_id: int) -> void: + selected_id = p_id + + for i in entries.size(): + var entry: ListEntry = entries[i] + entry.set_selected(i == selected_id) + + plugin.select_terrain() + + # Select Paint tool if clicking a texture + if type == Terrain3DAssets.TYPE_TEXTURE and \ + not plugin.editor.get_tool() in [ Terrain3DEditor.TEXTURE, Terrain3DEditor.COLOR, Terrain3DEditor.ROUGHNESS ]: + var paint_btn: Button = plugin.ui.toolbar.get_node_or_null("PaintTexture") + if paint_btn: + paint_btn.set_pressed(true) + plugin.ui._on_tool_changed(Terrain3DEditor.TEXTURE, Terrain3DEditor.REPLACE) + + elif type == Terrain3DAssets.TYPE_MESH and plugin.editor.get_tool() != Terrain3DEditor.INSTANCER: + var instancer_btn: Button = plugin.ui.toolbar.get_node_or_null("InstanceMeshes") + if instancer_btn: + instancer_btn.set_pressed(true) + plugin.ui._on_tool_changed(Terrain3DEditor.INSTANCER, Terrain3DEditor.ADD) + + # Update editor with selected brush + plugin.ui._on_setting_changed() + + + func _on_resource_inspected(p_resource: Resource) -> void: + await get_tree().create_timer(.01).timeout + EditorInterface.edit_resource(p_resource) + + + func _on_resource_changed(p_resource: Resource, p_id: int) -> void: + if not p_resource: + var asset_dock: Control = get_parent().get_parent().get_parent() + if type == Terrain3DAssets.TYPE_TEXTURE: + asset_dock.confirm_dialog.dialog_text = "Are you sure you want to clear this texture?" + else: + asset_dock.confirm_dialog.dialog_text = "Are you sure you want to clear this mesh and delete all instances?" + asset_dock.confirm_dialog.popup_centered() + await asset_dock.confirmation_closed + if not asset_dock._confirmed: + update_asset_list() + return + + if not plugin.is_terrain_valid(): + plugin.select_terrain() + await get_tree().create_timer(.01).timeout + + if plugin.is_terrain_valid(): + if type == Terrain3DAssets.TYPE_TEXTURE: + plugin.terrain.get_assets().set_texture(p_id, p_resource) + else: + plugin.terrain.get_assets().set_mesh_asset(p_id, p_resource) + await get_tree().create_timer(.01).timeout + plugin.terrain.assets.create_mesh_thumbnails(p_id) + + # If removing an entry, clear inspector + if not p_resource: + EditorInterface.inspect_object(null) + + # If null resource, remove last + if not p_resource: + var last_offset: int = 2 + if p_id == entries.size()-2: + last_offset = 3 + set_selected_id(clamp(selected_id, 0, entries.size() - last_offset)) + + + func get_selected_id() -> int: + return selected_id + + + func set_entry_width(value: float) -> void: + width = clamp(value, 66, 230) + redraw() + + + func get_entry_width() -> float: + return width + + + func redraw() -> void: + height = 0 + var id: int = 0 + var separation: float = 4 + var columns: int = 3 + columns = clamp(size.x / width, 1, 100) + + for c in get_children(): + if is_instance_valid(c): + c.size = Vector2(width, width) - Vector2(separation, separation) + c.position = Vector2(id % columns, id / columns) * width + \ + Vector2(separation / columns, separation / columns) + height = max(height, c.position.y + width) + id += 1 + + + # Needed to enable ScrollContainer scroll bar + func _get_minimum_size() -> Vector2: + return Vector2(0, height) + + + func _notification(p_what) -> void: + if p_what == NOTIFICATION_SORT_CHILDREN: + redraw() + + +############################################################## +## class ListEntry +############################################################## + + +class ListEntry extends VBoxContainer: + signal hovered() + signal selected() + signal changed(resource: Resource) + signal inspected(resource: Resource) + + var resource: Resource + var type := Terrain3DAssets.TYPE_TEXTURE + var _thumbnail: Texture2D + var drop_data: bool = false + var is_hovered: bool = false + var is_selected: bool = false + var asset_list: Terrain3DAssets + + @onready var button_row := HBoxContainer.new() + @onready var button_clear := TextureButton.new() + @onready var button_edit := TextureButton.new() + @onready var spacer := Control.new() + @onready var button_enabled := TextureButton.new() + @onready var clear_icon: Texture2D = get_theme_icon("Close", "EditorIcons") + @onready var edit_icon: Texture2D = get_theme_icon("Edit", "EditorIcons") + @onready var enabled_icon: Texture2D = get_theme_icon("GuiVisibilityVisible", "EditorIcons") + @onready var disabled_icon: Texture2D = get_theme_icon("GuiVisibilityHidden", "EditorIcons") + + var name_label: Label + @onready var add_icon: Texture2D = get_theme_icon("Add", "EditorIcons") + @onready var background: StyleBox = get_theme_stylebox("pressed", "Button") + @onready var focus_style: StyleBox = get_theme_stylebox("focus", "Button").duplicate() + + + func _ready() -> void: + setup_buttons() + setup_label() + focus_style.set_border_width_all(2) + focus_style.set_border_color(Color(1, 1, 1, .67)) + + + func setup_buttons() -> void: + var icon_size: Vector2 = Vector2(12, 12) + var margin_container := MarginContainer.new() + margin_container.mouse_filter = Control.MOUSE_FILTER_PASS + margin_container.add_theme_constant_override("margin_top", 5) + margin_container.add_theme_constant_override("margin_left", 5) + margin_container.add_theme_constant_override("margin_right", 5) + add_child(margin_container) + + button_row.size_flags_horizontal = Control.SIZE_EXPAND_FILL + button_row.alignment = BoxContainer.ALIGNMENT_CENTER + button_row.mouse_filter = Control.MOUSE_FILTER_PASS + margin_container.add_child(button_row) + + if type == Terrain3DAssets.TYPE_MESH: + button_enabled.set_texture_normal(enabled_icon) + button_enabled.set_texture_pressed(disabled_icon) + button_enabled.set_custom_minimum_size(icon_size) + button_enabled.set_h_size_flags(Control.SIZE_SHRINK_END) + button_enabled.set_visible(resource != null) + button_enabled.toggle_mode = true + button_enabled.mouse_filter = Control.MOUSE_FILTER_PASS + button_enabled.pressed.connect(enable) + button_row.add_child(button_enabled) + + button_edit.set_texture_normal(edit_icon) + button_edit.set_custom_minimum_size(icon_size) + button_edit.set_h_size_flags(Control.SIZE_SHRINK_END) + button_edit.set_visible(resource != null) + button_edit.mouse_filter = Control.MOUSE_FILTER_PASS + button_edit.pressed.connect(edit) + button_row.add_child(button_edit) + + spacer.size_flags_horizontal = Control.SIZE_EXPAND_FILL + spacer.mouse_filter = Control.MOUSE_FILTER_PASS + button_row.add_child(spacer) + + button_clear.set_texture_normal(clear_icon) + button_clear.set_custom_minimum_size(icon_size) + button_clear.set_h_size_flags(Control.SIZE_SHRINK_END) + button_clear.set_visible(resource != null) + button_clear.mouse_filter = Control.MOUSE_FILTER_PASS + button_clear.pressed.connect(clear) + button_row.add_child(button_clear) + + + func setup_label() -> void: + name_label = Label.new() + add_child(name_label, true) + name_label.visible = false + name_label.horizontal_alignment = HORIZONTAL_ALIGNMENT_CENTER + name_label.vertical_alignment = VERTICAL_ALIGNMENT_BOTTOM + name_label.size_flags_vertical = Control.SIZE_EXPAND_FILL + name_label.add_theme_color_override("font_color", Color.WHITE) + name_label.add_theme_color_override("font_shadow_color", Color.BLACK) + name_label.add_theme_constant_override("shadow_offset_x", 1.) + name_label.add_theme_constant_override("shadow_offset_y", 1.) + name_label.add_theme_font_size_override("font_size", 15) + name_label.autowrap_mode = TextServer.AUTOWRAP_WORD_SMART + name_label.text_overrun_behavior = TextServer.OVERRUN_TRIM_ELLIPSIS + if type == Terrain3DAssets.TYPE_TEXTURE: + name_label.text = "Add Texture" + else: + name_label.text = "Add Mesh" + + + func _notification(p_what) -> void: + match p_what: + NOTIFICATION_DRAW: + # Hide spacer if icons are crowding small textures + spacer.visible = size.x > 70 or type == Terrain3DAssets.TYPE_TEXTURE + + var rect: Rect2 = Rect2(Vector2.ZERO, get_size()) + if !resource: + draw_style_box(background, rect) + draw_texture(add_icon, (get_size() / 2) - (add_icon.get_size() / 2)) + else: + if type == Terrain3DAssets.TYPE_TEXTURE: + name_label.text = (resource as Terrain3DTextureAsset).get_name() + self_modulate = resource.get_albedo_color() + _thumbnail = resource.get_albedo_texture() + if _thumbnail: + draw_texture_rect(_thumbnail, rect, false) + texture_filter = CanvasItem.TEXTURE_FILTER_NEAREST_WITH_MIPMAPS + else: + name_label.text = (resource as Terrain3DMeshAsset).get_name() + var id: int = (resource as Terrain3DMeshAsset).get_id() + _thumbnail = resource.get_thumbnail() + if _thumbnail: + draw_texture_rect(_thumbnail, rect, false) + texture_filter = CanvasItem.TEXTURE_FILTER_LINEAR_WITH_MIPMAPS + else: + draw_rect(rect, Color(.15, .15, .15, 1.)) + button_enabled.set_pressed_no_signal(!resource.is_enabled()) + name_label.add_theme_font_size_override("font_size", 4 + rect.size.x/10) + if drop_data: + draw_style_box(focus_style, rect) + if is_hovered: + draw_rect(rect, Color(1, 1, 1, 0.2)) + if is_selected: + draw_style_box(focus_style, rect) + NOTIFICATION_MOUSE_ENTER: + is_hovered = true + name_label.visible = true + emit_signal("hovered") + queue_redraw() + NOTIFICATION_MOUSE_EXIT: + is_hovered = false + name_label.visible = false + drop_data = false + queue_redraw() + + + func _gui_input(p_event: InputEvent) -> void: + if p_event is InputEventMouseButton: + if p_event.is_pressed(): + match p_event.get_button_index(): + MOUSE_BUTTON_LEFT: + # If `Add new` is clicked + if !resource: + if type == Terrain3DAssets.TYPE_TEXTURE: + set_edited_resource(Terrain3DTextureAsset.new(), false) + else: + set_edited_resource(Terrain3DMeshAsset.new(), false) + edit() + else: + emit_signal("selected") + MOUSE_BUTTON_RIGHT: + if resource: + edit() + MOUSE_BUTTON_MIDDLE: + if resource: + clear() + + + func _can_drop_data(p_at_position: Vector2, p_data: Variant) -> bool: + drop_data = false + if typeof(p_data) == TYPE_DICTIONARY: + if p_data.files.size() == 1: + queue_redraw() + drop_data = true + return drop_data + + + func _drop_data(p_at_position: Vector2, p_data: Variant) -> void: + if typeof(p_data) == TYPE_DICTIONARY: + var res: Resource = load(p_data.files[0]) + if res is Texture2D and type == Terrain3DAssets.TYPE_TEXTURE: + var ta := Terrain3DTextureAsset.new() + if resource is Terrain3DTextureAsset: + ta.id = resource.id + ta.set_albedo_texture(res) + set_edited_resource(ta, false) + resource = ta + elif res is Terrain3DTextureAsset and type == Terrain3DAssets.TYPE_TEXTURE: + if resource is Terrain3DTextureAsset: + res.id = resource.id + set_edited_resource(res, false) + elif res is PackedScene and type == Terrain3DAssets.TYPE_MESH: + var ma := Terrain3DMeshAsset.new() + if resource is Terrain3DMeshAsset: + ma.id = resource.id + set_edited_resource(ma, false) + ma.set_scene_file(res) + resource = ma + elif res is Terrain3DMeshAsset and type == Terrain3DAssets.TYPE_MESH: + if resource is Terrain3DMeshAsset: + res.id = resource.id + set_edited_resource(res, false) + emit_signal("selected") + emit_signal("inspected", resource) + + + + func set_edited_resource(p_res: Resource, p_no_signal: bool = true) -> void: + resource = p_res + if resource: + resource.setting_changed.connect(_on_resource_changed) + resource.file_changed.connect(_on_resource_changed) + if resource is Terrain3DMeshAsset: + resource.instancer_setting_changed.connect(_on_resource_changed) + + if button_clear: + button_clear.set_visible(resource != null) + + queue_redraw() + if !p_no_signal: + emit_signal("changed", resource) + + + func _on_resource_changed() -> void: + queue_redraw() + emit_signal("changed", resource) + + + func set_selected(value: bool) -> void: + is_selected = value + queue_redraw() + + + func clear() -> void: + if resource: + set_edited_resource(null, false) + + + func edit() -> void: + emit_signal("selected") + emit_signal("inspected", resource) + + + func enable() -> void: + if resource is Terrain3DMeshAsset: + resource.set_enabled(!resource.is_enabled()) diff --git a/addons/terrain_3d/src/asset_dock.gd.uid b/addons/terrain_3d/src/asset_dock.gd.uid new file mode 100644 index 0000000..8c39f29 --- /dev/null +++ b/addons/terrain_3d/src/asset_dock.gd.uid @@ -0,0 +1 @@ +uid://bgoifepft1hjw diff --git a/addons/terrain_3d/src/asset_dock.tscn b/addons/terrain_3d/src/asset_dock.tscn new file mode 100644 index 0000000..f88c8c0 --- /dev/null +++ b/addons/terrain_3d/src/asset_dock.tscn @@ -0,0 +1,92 @@ +[gd_scene load_steps=2 format=3 uid="uid://dkb6hii5e48m2"] + +[ext_resource type="Script" path="res://addons/terrain_3d/src/asset_dock.gd" id="1_e23pg"] + +[node name="Terrain3D" type="PanelContainer"] +custom_minimum_size = Vector2(256, 95) +offset_right = 766.0 +offset_bottom = 100.0 +script = ExtResource("1_e23pg") + +[node name="Box" type="BoxContainer" parent="."] +layout_mode = 2 +size_flags_vertical = 3 +vertical = true + +[node name="Buttons" type="BoxContainer" parent="Box"] +layout_mode = 2 + +[node name="TexturesBtn" type="Button" parent="Box/Buttons"] +custom_minimum_size = Vector2(80, 30) +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_vertical = 0 +theme_override_font_sizes/font_size = 16 +toggle_mode = true +button_pressed = true +text = "Textures" + +[node name="MeshesBtn" type="Button" parent="Box/Buttons"] +custom_minimum_size = Vector2(80, 30) +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_vertical = 0 +theme_override_font_sizes/font_size = 16 +toggle_mode = true +text = "Meshes" + +[node name="PlacementOpt" type="OptionButton" parent="Box/Buttons"] +custom_minimum_size = Vector2(80, 30) +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_vertical = 0 +selected = 7 +item_count = 9 +popup/item_0/text = "Left_UL" +popup/item_1/text = "Left_BL" +popup/item_1/id = 1 +popup/item_2/text = "Left_UR" +popup/item_2/id = 2 +popup/item_3/text = "Left_BR" +popup/item_3/id = 3 +popup/item_4/text = "Right_UL" +popup/item_4/id = 4 +popup/item_5/text = "Right_BL " +popup/item_5/id = 5 +popup/item_6/text = "Right_UR" +popup/item_6/id = 6 +popup/item_7/text = "Right_BR" +popup/item_7/id = 7 +popup/item_8/text = "Bottom" +popup/item_8/id = 8 + +[node name="SizeSlider" type="HSlider" parent="Box/Buttons"] +custom_minimum_size = Vector2(80, 10) +layout_mode = 2 +size_flags_horizontal = 3 +min_value = 66.0 +max_value = 230.0 +value = 83.0 + +[node name="Floating" type="Button" parent="Box/Buttons"] +layout_mode = 2 +size_flags_horizontal = 0 +size_flags_vertical = 0 +tooltip_text = "Pop this dock out to a floating window." +toggle_mode = true +text = "F" +flat = true + +[node name="Pinned" type="Button" parent="Box/Buttons"] +layout_mode = 2 +size_flags_horizontal = 0 +size_flags_vertical = 0 +tooltip_text = "Make this window \"Always on top\"." +toggle_mode = true +text = "P" +flat = true + +[node name="ScrollContainer" type="ScrollContainer" parent="Box"] +layout_mode = 2 +size_flags_horizontal = 3 +size_flags_vertical = 3 diff --git a/addons/terrain_3d/src/double_slider.gd b/addons/terrain_3d/src/double_slider.gd new file mode 100644 index 0000000..8119456 --- /dev/null +++ b/addons/terrain_3d/src/double_slider.gd @@ -0,0 +1,164 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# DoubleSlider for Terrain3D +# Should work for other UIs +@tool +class_name DoubleSlider +extends Control + +signal value_changed(Vector2) +var label: Label +var suffix: String +var grabbed_handle: int = 0 # -1 left, 0 none, 1 right +var min_value: float = 0.0 +var max_value: float = 100.0 +var step: float = 1.0 +var range := Vector2(0, 100) +var display_scale: float = 1. +var position_x: float = 0. +var minimum_x: float = 60. + + +func _ready() -> void: + # Setup Display Scale + # 0 auto, 1 75%, 2 100%, 3 125%, 4 150%, 5 175%, 6 200%, 7 custom + var es: EditorSettings = EditorInterface.get_editor_settings() + var ds: int = es.get_setting("interface/editor/display_scale") + if ds == 0: + ds = 2 + elif ds == 7: + display_scale = es.get_setting("interface/editor/custom_display_scale") + else: + display_scale = float(ds + 2) * .25 + + update_label() + + +func set_min(p_value: float) -> void: + min_value = p_value + if range.x <= min_value: + range.x = min_value + set_value(range) + update_label() + + +func get_min() -> float: + return min_value + + +func set_max(p_value: float) -> void: + max_value = p_value + if range.y == 0 or range.y >= max_value: + range.y = max_value + set_value(range) + update_label() + + +func get_max() -> float: + return max_value + + +func set_step(p_step: float) -> void: + step = p_step + + +func get_step() -> float: + return step + + +func set_value(p_range: Vector2) -> void: + range.x = clamp(p_range.x, min_value, max_value) + range.y = clamp(p_range.y, min_value, max_value) + if range.y < range.x: + var tmp: float = range.x + range.x = range.y + range.y = tmp + + update_label() + emit_signal("value_changed", Vector2(range.x, range.y)) + queue_redraw() + + +func get_value() -> Vector2: + return range + + +func update_label() -> void: + if label: + label.set_text(str(range.x) + suffix + "/" + str(range.y) + suffix) + if position_x == 0: + position_x = label.position.x + else: + label.position.x = position_x + 5 * display_scale + label.custom_minimum_size.x = minimum_x + 5 * display_scale + + +func _get_handle() -> int: + return 1 + + +func _gui_input(p_event: InputEvent) -> void: + if p_event is InputEventMouseButton: + var button: int = p_event.get_button_index() + if button in [ MOUSE_BUTTON_LEFT, MOUSE_BUTTON_WHEEL_UP, MOUSE_BUTTON_WHEEL_DOWN ]: + if p_event.is_pressed(): + var mid_point = (range.x + range.y) / 2.0 + var xpos: float = p_event.get_position().x * 2.0 + if xpos >= mid_point: + grabbed_handle = 1 + else: + grabbed_handle = -1 + match button: + MOUSE_BUTTON_LEFT: + set_slider(p_event.get_position().x) + MOUSE_BUTTON_WHEEL_DOWN: + set_slider(-1., true) + MOUSE_BUTTON_WHEEL_UP: + set_slider(1., true) + else: + grabbed_handle = 0 + + if p_event is InputEventMouseMotion: + if grabbed_handle != 0: + set_slider(p_event.get_position().x) + + +func set_slider(p_xpos: float, p_relative: bool = false) -> void: + if grabbed_handle == 0: + return + var xpos_step: float = clamp(snappedf((p_xpos / size.x) * max_value, step), min_value, max_value) + if(grabbed_handle < 0): + if p_relative: + range.x += p_xpos + else: + range.x = xpos_step + else: + if p_relative: + range.y += p_xpos + else: + range.y = xpos_step + set_value(range) + + +func _notification(p_what: int) -> void: + if p_what == NOTIFICATION_DRAW: + # Draw background bar + var bg: StyleBox = get_theme_stylebox("slider", "HSlider") + var bg_height: float = bg.get_minimum_size().y + var mid_y: float = (size.y - bg_height) / 2.0 + draw_style_box(bg, Rect2(Vector2(0, mid_y), Vector2(size.x, bg_height))) + + # Draw foreground bar + var handle: Texture2D = get_theme_icon("grabber", "HSlider") + var area: StyleBox = get_theme_stylebox("grabber_area", "HSlider") + var startx: float = (range.x / max_value) * size.x + var endx: float = (range.y / max_value) * size.x + draw_style_box(area, Rect2(Vector2(startx, mid_y), Vector2(endx - startx, bg_height))) + + # Draw handles, slightly in so they don't get on the outside edges + var handle_pos: Vector2 + handle_pos.x = clamp(startx - handle.get_size().x/2, -10, size.x) + handle_pos.y = clamp(endx - handle.get_size().x/2, 0, size.x - 10) + draw_texture(handle, Vector2(handle_pos.x, -mid_y - 10 * (display_scale - 1.))) + draw_texture(handle, Vector2(handle_pos.y, -mid_y - 10 * (display_scale - 1.))) + + update_label() diff --git a/addons/terrain_3d/src/double_slider.gd.uid b/addons/terrain_3d/src/double_slider.gd.uid new file mode 100644 index 0000000..1e73752 --- /dev/null +++ b/addons/terrain_3d/src/double_slider.gd.uid @@ -0,0 +1 @@ +uid://stro0p1oawfb diff --git a/addons/terrain_3d/src/editor_plugin.gd b/addons/terrain_3d/src/editor_plugin.gd new file mode 100644 index 0000000..e3e732e --- /dev/null +++ b/addons/terrain_3d/src/editor_plugin.gd @@ -0,0 +1,458 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Editor Plugin for Terrain3D +@tool +extends EditorPlugin + + +# Includes +const UI: Script = preload("res://addons/terrain_3d/src/ui.gd") +const RegionGizmo: Script = preload("res://addons/terrain_3d/src/region_gizmo.gd") +const ASSET_DOCK: String = "res://addons/terrain_3d/src/asset_dock.tscn" + +var modifier_ctrl: bool +var modifier_alt: bool +var modifier_shift: bool +var _last_modifiers: int = 0 +var _input_mode: int = 0 # -1: camera move, 0: none, 1: operating +var rmb_release_time: int = 0 +var _use_meta: bool = false + +var terrain: Terrain3D +var _last_terrain: Terrain3D +var nav_region: NavigationRegion3D + +var editor: Terrain3DEditor +var editor_settings: EditorSettings +var ui: Node # Terrain3DUI see Godot #75388 +var asset_dock: PanelContainer +var region_gizmo: RegionGizmo +var current_region_position: Vector2 +var mouse_global_position: Vector3 = Vector3.ZERO +var godot_editor_window: Window # The Godot Editor window + + +func _init() -> void: + if OS.get_name() == "macOS": + _use_meta = true + + # Get the Godot Editor window. Structure is root:Window/EditorNode/Base Control + godot_editor_window = EditorInterface.get_base_control().get_parent().get_parent() + godot_editor_window.focus_entered.connect(_on_godot_focus_entered) + + +func _enter_tree() -> void: + editor = Terrain3DEditor.new() + setup_editor_settings() + ui = UI.new() + ui.plugin = self + add_child(ui) + + region_gizmo = RegionGizmo.new() + + scene_changed.connect(_on_scene_changed) + + asset_dock = load(ASSET_DOCK).instantiate() + asset_dock.initialize(self) + + +func _exit_tree() -> void: + asset_dock.remove_dock(true) + asset_dock.queue_free() + ui.queue_free() + editor.free() + + scene_changed.disconnect(_on_scene_changed) + godot_editor_window.focus_entered.disconnect(_on_godot_focus_entered) + + +func _on_godot_focus_entered() -> void: + _read_input() + ui.update_decal() + + +## EditorPlugin selection function call chain isn't consistent. Here's the map of calls: +## Assume we handle Terrain3D and NavigationRegion3D +# Click Terrain3D: _handles(Terrain3D), _make_visible(true), _edit(Terrain3D) +# Deselect: _make_visible(false), _edit(null) +# Click other node: _handles(OtherNode) +# Click NavRegion3D: _handles(NavReg3D), _make_visible(true), _edit(NavReg3D) +# Click NavRegion3D, Terrain3D: _handles(Terrain3D), _edit(Terrain3D) +# Click Terrain3D, NavRegion3D: _handles(NavReg3D), _edit(NavReg3D) +func _handles(p_object: Object) -> bool: + if p_object is Terrain3D: + return true + elif p_object is NavigationRegion3D and is_instance_valid(_last_terrain): + return true + + # Terrain3DObjects requires access to EditorUndoRedoManager. The only way to make sure it + # always has it, is to pass it in here. _edit is NOT called if the node is cut and pasted. + elif p_object is Terrain3DObjects: + p_object.editor_setup(self) + elif p_object is Node3D and p_object.get_parent() is Terrain3DObjects: + p_object.get_parent().editor_setup(self) + + return false + + +func _make_visible(p_visible: bool, p_redraw: bool = false) -> void: + if p_visible and is_selected(): + ui.set_visible(true) + asset_dock.update_dock() + else: + ui.set_visible(false) + + +func _edit(p_object: Object) -> void: + if !p_object: + _clear() + + if p_object is Terrain3D: + if p_object == terrain: + return + terrain = p_object + _last_terrain = terrain + terrain.set_plugin(self) + terrain.set_editor(editor) + editor.set_terrain(terrain) + region_gizmo.set_node_3d(terrain) + terrain.add_gizmo(region_gizmo) + ui.set_visible(true) + terrain.set_meta("_edit_lock_", true) + + # Get alerted when a new asset list is loaded + if not terrain.assets_changed.is_connected(asset_dock.update_assets): + terrain.assets_changed.connect(asset_dock.update_assets) + asset_dock.update_assets() + # Get alerted when the region map changes + if not terrain.data.region_map_changed.is_connected(update_region_grid): + terrain.data.region_map_changed.connect(update_region_grid) + update_region_grid() + else: + _clear() + + if is_terrain_valid(_last_terrain): + if p_object is NavigationRegion3D: + ui.set_visible(true, true) + nav_region = p_object + else: + nav_region = null + + +func _clear() -> void: + if is_terrain_valid(): + if terrain.data.region_map_changed.is_connected(update_region_grid): + terrain.data.region_map_changed.disconnect(update_region_grid) + + terrain.clear_gizmos() + terrain = null + editor.set_terrain(null) + + ui.clear_picking() + + region_gizmo.clear() + + +func _forward_3d_gui_input(p_viewport_camera: Camera3D, p_event: InputEvent) -> AfterGUIInput: + if not is_terrain_valid(): + return AFTER_GUI_INPUT_PASS + + var continue_input: AfterGUIInput = _read_input(p_event) + if continue_input != AFTER_GUI_INPUT_CUSTOM: + return continue_input + ui.update_decal() + + ## Setup active camera & viewport + # Always update this for all inputs, as the mouse position can move without + # necessarily being a InputEventMouseMotion object. get_intersection() also + # returns the last frame position, and should be updated more frequently. + + # Snap terrain to current camera + terrain.set_camera(p_viewport_camera) + + # Detect if viewport is set to half_resolution + # Structure is: Node3DEditorViewportContainer/Node3DEditorViewport(4)/SubViewportContainer/SubViewport/Camera3D + var editor_vpc: SubViewportContainer = p_viewport_camera.get_parent().get_parent() + var full_resolution: bool = false if editor_vpc.stretch_shrink == 2 else true + + ## Get mouse location on terrain + # Project 2D mouse position to 3D position and direction + var vp_mouse_pos: Vector2 = editor_vpc.get_local_mouse_position() + var mouse_pos: Vector2 = vp_mouse_pos if full_resolution else vp_mouse_pos / 2 + var camera_pos: Vector3 = p_viewport_camera.project_ray_origin(mouse_pos) + var camera_dir: Vector3 = p_viewport_camera.project_ray_normal(mouse_pos) + + # If region tool, grab mouse position without considering height + if editor.get_tool() == Terrain3DEditor.REGION: + var t = -Vector3(0, 1, 0).dot(camera_pos) / Vector3(0, 1, 0).dot(camera_dir) + mouse_global_position = (camera_pos + t * camera_dir) + else: + #Else look for intersection with terrain + var intersection_point: Vector3 = terrain.get_intersection(camera_pos, camera_dir, true) + if intersection_point.z > 3.4e38 or is_nan(intersection_point.y): # max double or nan + return AFTER_GUI_INPUT_PASS + mouse_global_position = intersection_point + + ## Handle mouse movement + if p_event is InputEventMouseMotion: + + if _input_mode != -1: # Not cam rotation + ## Update region highlight + var region_position: Vector2 = ( Vector2(mouse_global_position.x, mouse_global_position.z) \ + / (terrain.get_region_size() * terrain.get_vertex_spacing()) ).floor() + if current_region_position != region_position: + current_region_position = region_position + update_region_grid() + + if _input_mode > 0 and editor.is_operating(): + # Inject pressure - Relies on C++ set_brush_data() using same dictionary instance + ui.brush_data["mouse_pressure"] = p_event.pressure + + editor.operate(mouse_global_position, p_viewport_camera.rotation.y) + return AFTER_GUI_INPUT_STOP + + return AFTER_GUI_INPUT_PASS + + if p_event is InputEventMouseButton and _input_mode > 0: + if p_event.is_pressed(): + # If picking + if ui.is_picking(): + ui.pick(mouse_global_position) + if not ui.operation_builder or not ui.operation_builder.is_ready(): + return AFTER_GUI_INPUT_STOP + + if modifier_ctrl and editor.get_tool() == Terrain3DEditor.HEIGHT: + var height: float = terrain.data.get_height(mouse_global_position) + ui.brush_data["height"] = height + ui.tool_settings.set_setting("height", height) + + # If adjusting regions + if editor.get_tool() == Terrain3DEditor.REGION: + # Skip regions that already exist or don't + var has_region: bool = terrain.data.has_regionp(mouse_global_position) + var op: int = editor.get_operation() + if ( has_region and op == Terrain3DEditor.ADD) or \ + ( not has_region and op == Terrain3DEditor.SUBTRACT ): + return AFTER_GUI_INPUT_STOP + + # If an automatic operation is ready to go (e.g. gradient) + if ui.operation_builder and ui.operation_builder.is_ready(): + ui.operation_builder.apply_operation(editor, mouse_global_position, p_viewport_camera.rotation.y) + return AFTER_GUI_INPUT_STOP + + # Mouse clicked, start editing + editor.start_operation(mouse_global_position) + editor.operate(mouse_global_position, p_viewport_camera.rotation.y) + return AFTER_GUI_INPUT_STOP + + # _input_apply released, save undo data + elif editor.is_operating(): + editor.stop_operation() + return AFTER_GUI_INPUT_STOP + + return AFTER_GUI_INPUT_PASS + + +func _read_input(p_event: InputEvent = null) -> AfterGUIInput: + ## Determine if user is moving camera or applying + if Input.is_mouse_button_pressed(MOUSE_BUTTON_LEFT) or \ + p_event is InputEventMouseButton and p_event.is_released() and \ + p_event.get_button_index() == MOUSE_BUTTON_LEFT: + _input_mode = 1 + else: + _input_mode = 0 + + match get_setting("editors/3d/navigation/navigation_scheme", 0): + 2, 1: # Modo, Maya + if Input.is_mouse_button_pressed(MOUSE_BUTTON_RIGHT) or \ + ( Input.is_key_pressed(KEY_ALT) and Input.is_mouse_button_pressed(MOUSE_BUTTON_LEFT) ): + _input_mode = -1 + if p_event is InputEventMouseButton and p_event.is_released() and \ + ( p_event.get_button_index() == MOUSE_BUTTON_RIGHT or \ + ( Input.is_key_pressed(KEY_ALT) and p_event.get_button_index() == MOUSE_BUTTON_LEFT )): + rmb_release_time = Time.get_ticks_msec() + 0, _: # Godot + if Input.is_mouse_button_pressed(MOUSE_BUTTON_RIGHT) or \ + Input.is_mouse_button_pressed(MOUSE_BUTTON_MIDDLE): + _input_mode = -1 + if p_event is InputEventMouseButton and p_event.is_released() and \ + ( p_event.get_button_index() == MOUSE_BUTTON_RIGHT or \ + p_event.get_button_index() == MOUSE_BUTTON_MIDDLE ): + rmb_release_time = Time.get_ticks_msec() + if _input_mode < 0: + # Camera is moving, skip input + return AFTER_GUI_INPUT_PASS + + ## Determine modifiers pressed + modifier_shift = Input.is_key_pressed(KEY_SHIFT) + + # Editor responds to modifier_ctrl so we must register touchscreen Invert + if _use_meta: + modifier_ctrl = Input.is_key_pressed(KEY_META) || ui.inverted_input + else: + modifier_ctrl = Input.is_key_pressed(KEY_CTRL) || ui.inverted_input + + # Keybind enum: Alt,Space,Meta,Capslock + var alt_key: int + match get_setting("terrain3d/config/alt_key_bind", 0): + 3: alt_key = KEY_CAPSLOCK + 2: alt_key = KEY_META + 1: alt_key = KEY_SPACE + 0, _: alt_key = KEY_ALT + modifier_alt = Input.is_key_pressed(alt_key) + var current_mods: int = int(modifier_shift) | int(modifier_ctrl) << 1 | int(modifier_alt) << 2 + + ## Process Hotkeys + if p_event is InputEventKey and \ + current_mods == 0 and \ + p_event.is_pressed() and \ + not p_event.is_echo() and \ + consume_hotkey(p_event.keycode): + # Hotkey found, consume event, and stop input processing + EditorInterface.get_editor_viewport_3d().set_input_as_handled() + return AFTER_GUI_INPUT_STOP + + # Brush data is cleared on set_tool, or clicking textures in the asset dock + # Update modifiers if changed or missing + if _last_modifiers != current_mods or not ui.brush_data.has("modifier_shift"): + _last_modifiers = current_mods + ui.brush_data["modifier_shift"] = modifier_shift + ui.brush_data["modifier_ctrl"] = modifier_ctrl + ui.brush_data["modifier_alt"] = modifier_alt + ui.set_active_operation() + + ## Continue processing input + return AFTER_GUI_INPUT_CUSTOM + + +# Returns true if hotkey matches and operation triggered +func consume_hotkey(keycode: int) -> bool: + match keycode: + KEY_1: + terrain.material.set_show_region_grid(!terrain.material.get_show_region_grid()) + KEY_2: + terrain.material.set_show_instancer_grid(!terrain.material.get_show_instancer_grid()) + KEY_3: + terrain.material.set_show_vertex_grid(!terrain.material.get_show_vertex_grid()) + KEY_4: + terrain.material.set_show_contours(!terrain.material.get_show_contours()) + KEY_E: + ui.toolbar.get_button("AddRegion").set_pressed(true) + KEY_R: + ui.toolbar.get_button("Raise").set_pressed(true) + KEY_H: + ui.toolbar.get_button("Height").set_pressed(true) + KEY_S: + ui.toolbar.get_button("Slope").set_pressed(true) + KEY_C: + ui.toolbar.get_button("PaintColor").set_pressed(true) + KEY_N: + ui.toolbar.get_button("PaintNavigableArea").set_pressed(true) + KEY_I: + ui.toolbar.get_button("InstanceMeshes").set_pressed(true) + KEY_X: + ui.toolbar.get_button("AddHoles").set_pressed(true) + KEY_W: + ui.toolbar.get_button("PaintWetness").set_pressed(true) + KEY_B: + ui.toolbar.get_button("PaintTexture").set_pressed(true) + KEY_V: + ui.toolbar.get_button("SprayTexture").set_pressed(true) + KEY_A: + ui.toolbar.get_button("PaintAutoshader").set_pressed(true) + _: + return false + return true + + +func update_region_grid() -> void: + if not region_gizmo: + return + region_gizmo.set_hidden(not ui.visible) + + if is_terrain_valid(): + region_gizmo.show_rect = editor.get_tool() == Terrain3DEditor.REGION + region_gizmo.use_secondary_color = editor.get_operation() == Terrain3DEditor.SUBTRACT + region_gizmo.region_position = current_region_position + region_gizmo.region_size = terrain.get_region_size() * terrain.get_vertex_spacing() + region_gizmo.grid = terrain.get_data().get_region_locations() + + terrain.update_gizmos() + return + + region_gizmo.show_rect = false + region_gizmo.region_size = 1024 + region_gizmo.grid = [Vector2i.ZERO] + + +func _on_scene_changed(scene_root: Node) -> void: + if not scene_root: + return + + for node in scene_root.find_children("", "Terrain3DObjects"): + node.editor_setup(self) + + asset_dock.update_assets() + await get_tree().create_timer(2).timeout + asset_dock.update_thumbnails() + + +func is_terrain_valid(p_terrain: Terrain3D = null) -> bool: + var t: Terrain3D + if p_terrain: + t = p_terrain + else: + t = terrain + if is_instance_valid(t) and t.is_inside_tree() and t.data: + return true + return false + + +func is_selected() -> bool: + var selected: Array[Node] = EditorInterface.get_selection().get_selected_nodes() + for node in selected: + if ( is_instance_valid(_last_terrain) and node.get_instance_id() == _last_terrain.get_instance_id() ) or \ + node is Terrain3D: + return true + return false + + +func select_terrain() -> void: + if is_instance_valid(_last_terrain) and is_terrain_valid(_last_terrain) and not is_selected(): + var es: EditorSelection = EditorInterface.get_selection() + es.clear() + es.add_node(_last_terrain) + + +## Editor Settings + + +func setup_editor_settings() -> void: + editor_settings = EditorInterface.get_editor_settings() + if not editor_settings.has_setting("terrain3d/config/alt_key_bind"): + editor_settings.set("terrain3d/config/alt_key_bind", 0) + var property_info = { + "name": "terrain3d/config/alt_key_bind", + "type": TYPE_INT, + "hint": PROPERTY_HINT_ENUM, + "hint_string": "Alt,Space,Meta,Capslock" + } + editor_settings.add_property_info(property_info) + + +func set_setting(p_str: String, p_value: Variant) -> void: + editor_settings.set_setting(p_str, p_value) + + +func get_setting(p_str: String, p_default: Variant) -> Variant: + if editor_settings.has_setting(p_str): + return editor_settings.get_setting(p_str) + else: + return p_default + + +func has_setting(p_str: String) -> bool: + return editor_settings.has_setting(p_str) + + +func erase_setting(p_str: String) -> void: + editor_settings.erase(p_str) diff --git a/addons/terrain_3d/src/editor_plugin.gd.uid b/addons/terrain_3d/src/editor_plugin.gd.uid new file mode 100644 index 0000000..fb3e1ea --- /dev/null +++ b/addons/terrain_3d/src/editor_plugin.gd.uid @@ -0,0 +1 @@ +uid://bsgxo1qywjdf3 diff --git a/addons/terrain_3d/src/gradient_operation_builder.gd b/addons/terrain_3d/src/gradient_operation_builder.gd new file mode 100644 index 0000000..8bbafd4 --- /dev/null +++ b/addons/terrain_3d/src/gradient_operation_builder.gd @@ -0,0 +1,56 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Gradient Operation Builder for Terrain3D +extends "res://addons/terrain_3d/src/operation_builder.gd" + + +const MultiPicker: Script = preload("res://addons/terrain_3d/src/multi_picker.gd") + + +func _get_point_picker() -> MultiPicker: + return tool_settings.settings["gradient_points"] + + +func _get_brush_size() -> float: + return tool_settings.get_setting("size") + + +func _is_drawable() -> bool: + return tool_settings.get_setting("drawable") + + +func is_picking() -> bool: + return not _get_point_picker().all_points_selected() + + +func pick(p_global_position: Vector3, p_terrain: Terrain3D) -> void: + if not _get_point_picker().all_points_selected(): + _get_point_picker().add_point(p_global_position) + + +func is_ready() -> bool: + return _get_point_picker().all_points_selected() and not _is_drawable() + + +func apply_operation(p_editor: Terrain3DEditor, p_global_position: Vector3, p_camera_direction: float) -> void: + var points: PackedVector3Array = _get_point_picker().get_points() + assert(points.size() == 2) + assert(not _is_drawable()) + + var brush_size: float = _get_brush_size() + assert(brush_size > 0.0) + + var start: Vector3 = points[0] + var end: Vector3 = points[1] + + p_editor.start_operation(start) + + var dir: Vector3 = (end - start).normalized() + + var pos: Vector3 = start + while dir.dot(end - pos) > 0.0: + p_editor.operate(pos, p_camera_direction) + pos += dir * brush_size * 0.2 + + p_editor.stop_operation() + + _get_point_picker().clear() diff --git a/addons/terrain_3d/src/gradient_operation_builder.gd.uid b/addons/terrain_3d/src/gradient_operation_builder.gd.uid new file mode 100644 index 0000000..e747d25 --- /dev/null +++ b/addons/terrain_3d/src/gradient_operation_builder.gd.uid @@ -0,0 +1 @@ +uid://def7sych6dp8b diff --git a/addons/terrain_3d/src/multi_picker.gd b/addons/terrain_3d/src/multi_picker.gd new file mode 100644 index 0000000..717ca7b --- /dev/null +++ b/addons/terrain_3d/src/multi_picker.gd @@ -0,0 +1,88 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Multipicker for Terrain3D +extends HBoxContainer + + +signal pressed +signal value_changed + + +const ICON_PICKER_CHECKED: String = "res://addons/terrain_3d/icons/picker_checked.svg" +const MAX_POINTS: int = 2 + + +var icon_picker: Texture2D +var icon_picker_checked: Texture2D +var points: PackedVector3Array +var picking_index: int = -1 + + +func _enter_tree() -> void: + icon_picker = get_theme_icon("ColorPick", "EditorIcons") + icon_picker_checked = load(ICON_PICKER_CHECKED) + + points.resize(MAX_POINTS) + + for i in range(MAX_POINTS): + var button := Button.new() + button.icon = icon_picker + button.tooltip_text = "Pick point on the Terrain" + button.set_meta(&"point_index", i) + button.pressed.connect(_on_button_pressed.bind(i)) + add_child(button) + + _update_buttons() + + +func _on_button_pressed(button_index: int) -> void: + points[button_index] = Vector3.ZERO + picking_index = button_index + _update_buttons() + pressed.emit() + + +func _update_buttons() -> void: + for child in get_children(): + if child is Button: + _update_button(child) + + +func _update_button(button: Button) -> void: + var index: int = button.get_meta(&"point_index") + + if points[index] != Vector3.ZERO: + button.icon = icon_picker_checked + else: + button.icon = icon_picker + + +func clear() -> void: + points.fill(Vector3.ZERO) + _update_buttons() + value_changed.emit() + + +func all_points_selected() -> bool: + return points.count(Vector3.ZERO) == 0 + + +func add_point(p_value: Vector3) -> void: + if points.has(p_value): + return + + # If manually selecting a point individually + if picking_index != -1: + points[picking_index] = p_value + picking_index = -1 + else: + # Else picking a sequence of points (non-drawable) + for i in range(MAX_POINTS): + if points[i] == Vector3.ZERO: + points[i] = p_value + break + _update_buttons() + value_changed.emit() + + +func get_points() -> PackedVector3Array: + return points diff --git a/addons/terrain_3d/src/multi_picker.gd.uid b/addons/terrain_3d/src/multi_picker.gd.uid new file mode 100644 index 0000000..6db5cb7 --- /dev/null +++ b/addons/terrain_3d/src/multi_picker.gd.uid @@ -0,0 +1 @@ +uid://dvdtoa32h6xdn diff --git a/addons/terrain_3d/src/operation_builder.gd b/addons/terrain_3d/src/operation_builder.gd new file mode 100644 index 0000000..2a558be --- /dev/null +++ b/addons/terrain_3d/src/operation_builder.gd @@ -0,0 +1,25 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Operation Builder for Terrain3D +extends RefCounted + + +const ToolSettings: Script = preload("res://addons/terrain_3d/src/tool_settings.gd") + + +var tool_settings: ToolSettings + + +func is_picking() -> bool: + return false + + +func pick(p_global_position: Vector3, p_terrain: Terrain3D) -> void: + pass + + +func is_ready() -> bool: + return false + + +func apply_operation(editor: Terrain3DEditor, p_global_position: Vector3, p_camera_direction: float) -> void: + pass diff --git a/addons/terrain_3d/src/operation_builder.gd.uid b/addons/terrain_3d/src/operation_builder.gd.uid new file mode 100644 index 0000000..f14e1fe --- /dev/null +++ b/addons/terrain_3d/src/operation_builder.gd.uid @@ -0,0 +1 @@ +uid://bu5cm0eh052rm diff --git a/addons/terrain_3d/src/region_gizmo.gd b/addons/terrain_3d/src/region_gizmo.gd new file mode 100644 index 0000000..c74c8f5 --- /dev/null +++ b/addons/terrain_3d/src/region_gizmo.gd @@ -0,0 +1,68 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Editor Region Gizmos for Terrain3D +extends EditorNode3DGizmo + +var material: StandardMaterial3D +var selection_material: StandardMaterial3D +var region_position: Vector2 +var region_size: float +var grid: Array[Vector2i] +var use_secondary_color: bool = false +var show_rect: bool = true + +var main_color: Color = Color.GREEN_YELLOW +var secondary_color: Color = Color.RED +var grid_color: Color = Color.WHITE +var border_color: Color = Color.BLUE + + +func _init() -> void: + material = StandardMaterial3D.new() + material.set_flag(BaseMaterial3D.FLAG_DISABLE_DEPTH_TEST, true) + material.set_flag(BaseMaterial3D.FLAG_ALBEDO_FROM_VERTEX_COLOR, true) + material.set_shading_mode(BaseMaterial3D.SHADING_MODE_UNSHADED) + material.set_albedo(Color.WHITE) + + selection_material = material.duplicate() + selection_material.set_render_priority(0) + + +func _redraw() -> void: + clear() + + var rect_position = region_position * region_size + + if show_rect: + var modulate: Color = main_color if !use_secondary_color else secondary_color + if abs(region_position.x) > Terrain3DData.REGION_MAP_SIZE*.5 or abs(region_position.y) > Terrain3DData.REGION_MAP_SIZE*.5: + modulate = Color.GRAY + draw_rect(Vector2(region_size,region_size)*.5 + rect_position, region_size, selection_material, modulate) + + for pos in grid: + var grid_tile_position = Vector2(pos) * region_size + if show_rect and grid_tile_position == rect_position: + # Skip this one, otherwise focused region borders are not always visible due to draw order + continue + + draw_rect(Vector2(region_size,region_size)*.5 + grid_tile_position, region_size, material, grid_color) + + draw_rect(Vector2.ZERO, region_size * Terrain3DData.REGION_MAP_SIZE, material, border_color) + + +func draw_rect(p_pos: Vector2, p_size: float, p_material: StandardMaterial3D, p_modulate: Color) -> void: + var lines: PackedVector3Array = [ + Vector3(-1, 0, -1), + Vector3(-1, 0, 1), + Vector3(1, 0, 1), + Vector3(1, 0, -1), + Vector3(-1, 0, 1), + Vector3(1, 0, 1), + Vector3(1, 0, -1), + Vector3(-1, 0, -1), + ] + + for i in lines.size(): + lines[i] = ((lines[i] / 2.0) * p_size) + Vector3(p_pos.x, 0, p_pos.y) + + add_lines(lines, p_material, false, p_modulate) + diff --git a/addons/terrain_3d/src/region_gizmo.gd.uid b/addons/terrain_3d/src/region_gizmo.gd.uid new file mode 100644 index 0000000..346a404 --- /dev/null +++ b/addons/terrain_3d/src/region_gizmo.gd.uid @@ -0,0 +1 @@ +uid://bh6qwe1ok4cx3 diff --git a/addons/terrain_3d/src/tool_settings.gd b/addons/terrain_3d/src/tool_settings.gd new file mode 100644 index 0000000..ea2d246 --- /dev/null +++ b/addons/terrain_3d/src/tool_settings.gd @@ -0,0 +1,693 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Tool settings bar for Terrain3D +extends PanelContainer + +signal picking(type: Terrain3DEditor.Tool, callback: Callable) +signal setting_changed(setting: Variant) + +enum Layout { + HORIZONTAL, + VERTICAL, + GRID, +} + +enum SettingType { + CHECKBOX, + COLOR_SELECT, + DOUBLE_SLIDER, + OPTION, + PICKER, + MULTI_PICKER, + SLIDER, + LABEL, + TYPE_MAX, +} + +const MultiPicker: Script = preload("res://addons/terrain_3d/src/multi_picker.gd") +const DEFAULT_BRUSH: String = "circle0.exr" +const BRUSH_PATH: String = "res://addons/terrain_3d/brushes" +const ES_TOOL_SETTINGS: String = "terrain3d/tool_settings/" + +# Add settings flags +const NONE: int = 0x0 +const ALLOW_LARGER: int = 0x1 +const ALLOW_SMALLER: int = 0x2 +const ALLOW_OUT_OF_BOUNDS: int = 0x3 # LARGER|SMALLER +const NO_LABEL: int = 0x4 +const ADD_SEPARATOR: int = 0x8 # Add a vertical line before this entry +const ADD_SPACER: int = 0x10 # Add a space before this entry +const NO_SAVE: int = 0x20 # Don't save this in EditorSettings + +var plugin: EditorPlugin # Actually Terrain3DEditorPlugin, but Godot still has CRC errors +var brush_preview_material: ShaderMaterial +var select_brush_button: Button +var selected_brush_imgs: Array +var main_list: HFlowContainer +var advanced_list: VBoxContainer +var height_list: VBoxContainer +var scale_list: VBoxContainer +var rotation_list: VBoxContainer +var color_list: VBoxContainer +var settings: Dictionary = {} + + +func _ready() -> void: + # Remove old editor settings + for setting in ["lift_floor", "flatten_peaks", "lift_flatten", "automatic_regions"]: + plugin.erase_setting(ES_TOOL_SETTINGS + setting) + + # Setup buttons + main_list = HFlowContainer.new() + add_child(main_list, true) + + add_brushes(main_list) + + add_setting({ "name":"instructions", "label":"Click the terrain to add a region. CTRL+Click to remove. Or select another tool on the left.", + "type":SettingType.LABEL, "list":main_list, "flags":NO_LABEL|NO_SAVE }) + + add_setting({ "name":"size", "type":SettingType.SLIDER, "list":main_list, "default":20, "unit":"m", + "range":Vector3(0.1, 200, 1), "flags":ALLOW_LARGER|ADD_SPACER }) + + add_setting({ "name":"strength", "type":SettingType.SLIDER, "list":main_list, "default":33, + "unit":"%", "range":Vector3(1, 100, 1), "flags":ALLOW_LARGER }) + + add_setting({ "name":"height", "type":SettingType.SLIDER, "list":main_list, "default":20, + "unit":"m", "range":Vector3(-500, 500, 0.1), "flags":ALLOW_OUT_OF_BOUNDS }) + add_setting({ "name":"height_picker", "type":SettingType.PICKER, "list":main_list, + "default":Terrain3DEditor.HEIGHT, "flags":NO_LABEL }) + + add_setting({ "name":"color", "type":SettingType.COLOR_SELECT, "list":main_list, + "default":Color.WHITE, "flags":ADD_SEPARATOR }) + add_setting({ "name":"color_picker", "type":SettingType.PICKER, "list":main_list, + "default":Terrain3DEditor.COLOR, "flags":NO_LABEL }) + + add_setting({ "name":"roughness", "type":SettingType.SLIDER, "list":main_list, "default":-65, + "unit":"%", "range":Vector3(-100, 100, 1), "flags":ADD_SEPARATOR }) + add_setting({ "name":"roughness_picker", "type":SettingType.PICKER, "list":main_list, + "default":Terrain3DEditor.ROUGHNESS, "flags":NO_LABEL }) + + add_setting({ "name":"enable_texture", "label":"Texture", "type":SettingType.CHECKBOX, + "list":main_list, "default":true, "flags":ADD_SEPARATOR }) + + add_setting({ "name":"texture_filter", "label":"Texture Filter", "type":SettingType.CHECKBOX, + "list":main_list, "default":false, "flags":ADD_SEPARATOR }) + + add_setting({ "name":"margin", "type":SettingType.SLIDER, "list":main_list, "default":0, + "unit":"", "range":Vector3(-50, 50, 1), "flags":ALLOW_OUT_OF_BOUNDS }) + + # Slope painting filter + add_setting({ "name":"slope", "type":SettingType.DOUBLE_SLIDER, "list":main_list, "default":Vector2(0, 90), + "unit":"°", "range":Vector3(0, 90, 1), "flags":ADD_SEPARATOR }) + + add_setting({ "name":"enable_angle", "label":"Angle", "type":SettingType.CHECKBOX, + "list":main_list, "default":true, "flags":ADD_SEPARATOR }) + add_setting({ "name":"angle", "type":SettingType.SLIDER, "list":main_list, "default":0, + "unit":"%", "range":Vector3(0, 337.5, 22.5), "flags":NO_LABEL }) + add_setting({ "name":"angle_picker", "type":SettingType.PICKER, "list":main_list, + "default":Terrain3DEditor.ANGLE, "flags":NO_LABEL }) + add_setting({ "name":"dynamic_angle", "label":"Dynamic", "type":SettingType.CHECKBOX, + "list":main_list, "default":false, "flags":ADD_SPACER }) + + add_setting({ "name":"enable_scale", "label":"Scale", "type":SettingType.CHECKBOX, + "list":main_list, "default":true, "flags":ADD_SEPARATOR }) + add_setting({ "name":"scale", "label":"±", "type":SettingType.SLIDER, "list":main_list, "default":0, + "unit":"%", "range":Vector3(-60, 80, 20), "flags":NO_LABEL }) + add_setting({ "name":"scale_picker", "type":SettingType.PICKER, "list":main_list, + "default":Terrain3DEditor.SCALE, "flags":NO_LABEL }) + + ## Slope sculpting brush + add_setting({ "name":"gradient_points", "type":SettingType.MULTI_PICKER, "label":"Points", + "list":main_list, "default":Terrain3DEditor.SCULPT, "flags":ADD_SEPARATOR }) + add_setting({ "name":"drawable", "type":SettingType.CHECKBOX, "list":main_list, "default":false, + "flags":ADD_SEPARATOR }) + settings["drawable"].toggled.connect(_on_drawable_toggled) + + ## Instancer + height_list = create_submenu(main_list, "Height", Layout.VERTICAL) + add_setting({ "name":"height_offset", "type":SettingType.SLIDER, "list":height_list, "default":0, + "unit":"m", "range":Vector3(-10, 10, 0.05), "flags":ALLOW_OUT_OF_BOUNDS }) + add_setting({ "name":"random_height", "label":"Random Height ±", "type":SettingType.SLIDER, + "list":height_list, "default":0, "unit":"m", "range":Vector3(0, 10, 0.05), + "flags":ALLOW_OUT_OF_BOUNDS }) + + scale_list = create_submenu(main_list, "Scale", Layout.VERTICAL) + add_setting({ "name":"fixed_scale", "type":SettingType.SLIDER, "list":scale_list, "default":100, + "unit":"%", "range":Vector3(1, 1000, 1), "flags":ALLOW_OUT_OF_BOUNDS }) + add_setting({ "name":"random_scale", "label":"Random Scale ±", "type":SettingType.SLIDER, "list":scale_list, + "default":20, "unit":"%", "range":Vector3(0, 99, 1), "flags":ALLOW_OUT_OF_BOUNDS }) + + rotation_list = create_submenu(main_list, "Rotation", Layout.VERTICAL) + add_setting({ "name":"fixed_spin", "label":"Fixed Spin (Around Y)", "type":SettingType.SLIDER, "list":rotation_list, + "default":0, "unit":"°", "range":Vector3(0, 360, 1) }) + add_setting({ "name":"random_spin", "type":SettingType.SLIDER, "list":rotation_list, "default":360, + "unit":"°", "range":Vector3(0, 360, 1) }) + add_setting({ "name":"fixed_tilt", "label":"Fixed Tilt", "type":SettingType.SLIDER, "list":rotation_list, + "default":0, "unit":"°", "range":Vector3(-85, 85, 1), "flags":ALLOW_OUT_OF_BOUNDS }) + add_setting({ "name":"random_tilt", "label":"Random Tilt ±", "type":SettingType.SLIDER, "list":rotation_list, + "default":10, "unit":"°", "range":Vector3(0, 85, 1), "flags":ALLOW_OUT_OF_BOUNDS }) + add_setting({ "name":"align_to_normal", "type":SettingType.CHECKBOX, "list":rotation_list, "default":false }) + + color_list = create_submenu(main_list, "Color", Layout.VERTICAL) + add_setting({ "name":"vertex_color", "type":SettingType.COLOR_SELECT, "list":color_list, + "default":Color.WHITE }) + add_setting({ "name":"random_hue", "label":"Random Hue Shift ±", "type":SettingType.SLIDER, + "list":color_list, "default":0, "unit":"°", "range":Vector3(0, 360, 1) }) + add_setting({ "name":"random_darken", "type":SettingType.SLIDER, "list":color_list, "default":50, + "unit":"%", "range":Vector3(0, 100, 1) }) + #add_setting({ "name":"blend_mode", "type":SettingType.OPTION, "list":color_list, "default":0, + #"range":Vector3(0, 3, 1) }) + + if DisplayServer.is_touchscreen_available(): + add_setting({ "name":"invert", "label":"Invert", "type":SettingType.CHECKBOX, "list":main_list, "default":false, "flags":ADD_SEPARATOR }) + + var spacer: Control = Control.new() + spacer.size_flags_horizontal = Control.SIZE_EXPAND_FILL + main_list.add_child(spacer, true) + + ## Advanced Settings Menu + advanced_list = create_submenu(main_list, "", Layout.VERTICAL, false) + add_setting({ "name":"auto_regions", "label":"Add regions while sculpting", "type":SettingType.CHECKBOX, + "list":advanced_list, "default":true }) + add_setting({ "name":"align_to_view", "type":SettingType.CHECKBOX, "list":advanced_list, + "default":true }) + add_setting({ "name":"show_cursor_while_painting", "type":SettingType.CHECKBOX, "list":advanced_list, + "default":true }) + advanced_list.add_child(HSeparator.new(), true) + add_setting({ "name":"gamma", "type":SettingType.SLIDER, "list":advanced_list, "default":1.0, + "unit":"γ", "range":Vector3(0.1, 2.0, 0.01) }) + add_setting({ "name":"jitter", "type":SettingType.SLIDER, "list":advanced_list, "default":50, + "unit":"%", "range":Vector3(0, 100, 1) }) + add_setting({ "name":"crosshair_threshold", "type":SettingType.SLIDER, "list":advanced_list, "default":16., + "unit":"m", "range":Vector3(0, 200, 1) }) + + +func create_submenu(p_parent: Control, p_button_name: String, p_layout: Layout, p_hover_pop: bool = true) -> Container: + var menu_button: Button = Button.new() + if p_button_name.is_empty(): + menu_button.icon = get_theme_icon("GuiTabMenuHl", "EditorIcons") + else: + menu_button.set_text(p_button_name) + menu_button.set_toggle_mode(true) + menu_button.set_v_size_flags(SIZE_SHRINK_CENTER) + menu_button.toggled.connect(_on_show_submenu.bind(menu_button)) + + var submenu: PopupPanel = PopupPanel.new() + submenu.popup_hide.connect(menu_button.set_pressed.bind(false)) + var panel_style: StyleBox = get_theme_stylebox("panel", "PopupMenu").duplicate() + panel_style.set_content_margin_all(10) + submenu.set("theme_override_styles/panel", panel_style) + submenu.add_to_group("terrain3d_submenus") + + # Pop up menu on hover, hide on exit + if p_hover_pop: + menu_button.mouse_entered.connect(_on_show_submenu.bind(true, menu_button)) + + submenu.mouse_entered.connect(func(): submenu.set_meta("mouse_entered", true)) + + submenu.mouse_exited.connect(func(): + # On mouse_exit, hide popup unless LineEdit focused + var focused_element: Control = submenu.gui_get_focus_owner() + if not focused_element is LineEdit: + _on_show_submenu(false, menu_button) + submenu.set_meta("mouse_entered", false) + return + + focused_element.focus_exited.connect(func(): + # Close submenu once lineedit loses focus + if not submenu.get_meta("mouse_entered"): + _on_show_submenu(false, menu_button) + submenu.set_meta("mouse_entered", false) + ) + ) + + var sublist: Container + match(p_layout): + Layout.GRID: + sublist = GridContainer.new() + Layout.VERTICAL: + sublist = VBoxContainer.new() + Layout.HORIZONTAL, _: + sublist = HBoxContainer.new() + + p_parent.add_child(menu_button, true) + menu_button.add_child(submenu, true) + submenu.add_child(sublist, true) + + return sublist + + +func _on_show_submenu(p_toggled: bool, p_button: Button) -> void: + # Don't show if mouse already down (from painting) + if p_toggled and Input.is_mouse_button_pressed(MOUSE_BUTTON_LEFT): + return + + # Hide menu if mouse is not in button or panel + var button_rect: Rect2 = Rect2(p_button.get_screen_transform().origin, p_button.get_global_rect().size) + var in_button: bool = button_rect.has_point(DisplayServer.mouse_get_position()) + var popup: PopupPanel = p_button.get_child(0) + var popup_rect: Rect2 = Rect2(popup.position, popup.size) + var in_popup: bool = popup_rect.has_point(DisplayServer.mouse_get_position()) + if not p_toggled and ( in_button or in_popup ): + return + + # Hide all submenus before possibly enabling the current one + get_tree().call_group("terrain3d_submenus", "set_visible", false) + popup.set_visible(p_toggled) + var popup_pos: Vector2 = p_button.get_screen_transform().origin + popup_pos.y -= popup.size.y + if popup.get_child_count()>0 and popup.get_child(0) == advanced_list: + popup_pos.x -= popup.size.x - p_button.size.x + popup.set_position(popup_pos) + + +func add_brushes(p_parent: Control) -> void: + var brush_list: GridContainer = create_submenu(p_parent, "Brush", Layout.GRID) + brush_list.name = "BrushList" + + var brush_button_group: ButtonGroup = ButtonGroup.new() + brush_button_group.pressed.connect(_on_setting_changed) + var default_brush_btn: Button + + var dir: DirAccess = DirAccess.open(BRUSH_PATH) + if dir: + dir.list_dir_begin() + var file_name = dir.get_next() + while file_name != "": + if !dir.current_is_dir() and file_name.ends_with(".exr"): + var img: Image = Image.load_from_file(BRUSH_PATH + "/" + file_name) + var thumbimg: Image = img.duplicate() + img.convert(Image.FORMAT_RF) + + if thumbimg.get_width() != 100 and thumbimg.get_height() != 100: + thumbimg.resize(100, 100, Image.INTERPOLATE_CUBIC) + thumbimg = Terrain3DUtil.black_to_alpha(thumbimg) + thumbimg.convert(Image.FORMAT_LA8) + var thumbtex: ImageTexture = ImageTexture.create_from_image(thumbimg) + + var brush_btn: Button = Button.new() + brush_btn.set_custom_minimum_size(Vector2.ONE * 100) + brush_btn.set_button_icon(thumbtex) + brush_btn.set_meta("image", img) + brush_btn.set_expand_icon(true) + brush_btn.set_material(_get_brush_preview_material()) + brush_btn.set_toggle_mode(true) + brush_btn.set_button_group(brush_button_group) + brush_btn.mouse_entered.connect(_on_brush_hover.bind(true, brush_btn)) + brush_btn.mouse_exited.connect(_on_brush_hover.bind(false, brush_btn)) + brush_list.add_child(brush_btn, true) + if file_name == DEFAULT_BRUSH: + default_brush_btn = brush_btn + + var lbl: Label = Label.new() + brush_btn.name = file_name.get_basename().to_pascal_case() + brush_btn.add_child(lbl, true) + lbl.text = brush_btn.name + lbl.visible = false + lbl.position.y = 70 + lbl.add_theme_color_override("font_shadow_color", Color.BLACK) + lbl.add_theme_constant_override("shadow_offset_x", 1) + lbl.add_theme_constant_override("shadow_offset_y", 1) + lbl.add_theme_font_size_override("font_size", 16) + + file_name = dir.get_next() + + brush_list.columns = sqrt(brush_list.get_child_count()) + 2 + + if not default_brush_btn: + default_brush_btn = brush_button_group.get_buttons()[0] + default_brush_btn.set_pressed(true) + _generate_brush_texture(default_brush_btn) + + settings["brush"] = brush_button_group + + select_brush_button = brush_list.get_parent().get_parent() + # Optionally erase the main brush button text and replace it with the texture + select_brush_button.set_text("") + select_brush_button.set_button_icon(default_brush_btn.get_button_icon()) + select_brush_button.set_custom_minimum_size(Vector2.ONE * 36) + select_brush_button.set_icon_alignment(HORIZONTAL_ALIGNMENT_CENTER) + select_brush_button.set_expand_icon(true) + + +func _on_brush_hover(p_hovering: bool, p_button: Button) -> void: + if p_button.get_child_count() > 0: + var child = p_button.get_child(0) + if child is Label: + if p_hovering: + child.visible = true + else: + child.visible = false + + +func _on_pick(p_type: Terrain3DEditor.Tool) -> void: + emit_signal("picking", p_type, _on_picked) + + +func _on_picked(p_type: Terrain3DEditor.Tool, p_color: Color, p_global_position: Vector3) -> void: + match p_type: + Terrain3DEditor.HEIGHT: + settings["height"].value = p_color.r if not is_nan(p_color.r) else 0. + Terrain3DEditor.COLOR: + settings["color"].color = p_color if not is_nan(p_color.r) else Color.WHITE + Terrain3DEditor.ROUGHNESS: + # This converts 0,1 to -100,100 + # It also quantizes explicitly so picked values matches painted values + settings["roughness"].value = round(200. * float(int(p_color.a * 255.) / 255. - .5)) if not is_nan(p_color.r) else 0. + Terrain3DEditor.ANGLE: + settings["angle"].value = p_color.r + Terrain3DEditor.SCALE: + settings["scale"].value = p_color.r + _on_setting_changed() + + +func _on_point_pick(p_type: Terrain3DEditor.Tool, p_name: String) -> void: + assert(p_type == Terrain3DEditor.SCULPT) + emit_signal("picking", p_type, _on_point_picked.bind(p_name)) + + +func _on_point_picked(p_type: Terrain3DEditor.Tool, p_color: Color, p_global_position: Vector3, p_name: String) -> void: + assert(p_type == Terrain3DEditor.SCULPT) + var point: Vector3 = p_global_position + point.y = p_color.r + settings[p_name].add_point(point) + _on_setting_changed() + + +func add_setting(p_args: Dictionary) -> void: + var p_name: StringName = p_args.get("name", "") + var p_label: String = p_args.get("label", "") # Optional replacement for name + var p_type: SettingType = p_args.get("type", SettingType.TYPE_MAX) + var p_list: Control = p_args.get("list") + var p_default: Variant = p_args.get("default") + var p_suffix: String = p_args.get("unit", "") + var p_range: Vector3 = p_args.get("range", Vector3(0, 0, 1)) + var p_minimum: float = p_range.x + var p_maximum: float = p_range.y + var p_step: float = p_range.z + var p_flags: int = p_args.get("flags", NONE) + + if p_name.is_empty() or p_type == SettingType.TYPE_MAX: + return + + var container: HBoxContainer = HBoxContainer.new() + container.set_v_size_flags(SIZE_EXPAND_FILL) + var control: Control # Houses the setting to be saved + var pending_children: Array[Control] + + match p_type: + SettingType.LABEL: + var label := Label.new() + label.set_text(p_label) + pending_children.push_back(label) + control = label + + SettingType.CHECKBOX: + var checkbox := CheckBox.new() + if !(p_flags & NO_SAVE): + checkbox.set_pressed_no_signal(plugin.get_setting(ES_TOOL_SETTINGS + p_name, p_default)) + checkbox.toggled.connect( ( + func(value, path): + plugin.set_setting(path, value) + ).bind(ES_TOOL_SETTINGS + p_name) ) + else: + checkbox.set_pressed_no_signal(p_default) + checkbox.pressed.connect(_on_setting_changed) + pending_children.push_back(checkbox) + control = checkbox + + SettingType.COLOR_SELECT: + var picker := ColorPickerButton.new() + picker.set_custom_minimum_size(Vector2(100, 25)) + picker.edit_alpha = false + picker.get_picker().set_color_mode(ColorPicker.MODE_HSV) + if !(p_flags & NO_SAVE): + picker.set_pick_color(plugin.get_setting(ES_TOOL_SETTINGS + p_name, p_default)) + picker.color_changed.connect( ( + func(value, path): + plugin.set_setting(path, value) + ).bind(ES_TOOL_SETTINGS + p_name) ) + else: + picker.set_pick_color(p_default) + picker.color_changed.connect(_on_setting_changed) + pending_children.push_back(picker) + control = picker + + SettingType.PICKER: + var button := Button.new() + button.set_v_size_flags(SIZE_SHRINK_CENTER) + button.icon = get_theme_icon("ColorPick", "EditorIcons") + button.tooltip_text = "Pick value from the Terrain" + button.pressed.connect(_on_pick.bind(p_default)) + pending_children.push_back(button) + control = button + + SettingType.MULTI_PICKER: + var multi_picker: HBoxContainer = MultiPicker.new() + multi_picker.pressed.connect(_on_point_pick.bind(p_default, p_name)) + multi_picker.value_changed.connect(_on_setting_changed) + pending_children.push_back(multi_picker) + control = multi_picker + + SettingType.OPTION: + var option := OptionButton.new() + for i in int(p_maximum): + option.add_item("a", i) + option.selected = p_minimum + option.item_selected.connect(_on_setting_changed) + pending_children.push_back(option) + control = option + + SettingType.SLIDER, SettingType.DOUBLE_SLIDER: + var slider: Control + if p_type == SettingType.SLIDER: + # Create an editable value box + var spin_slider := EditorSpinSlider.new() + spin_slider.set_flat(false) + spin_slider.set_hide_slider(true) + spin_slider.value_changed.connect(_on_setting_changed) + spin_slider.set_max(p_maximum) + spin_slider.set_min(p_minimum) + spin_slider.set_step(p_step) + spin_slider.set_suffix(p_suffix) + spin_slider.set_v_size_flags(SIZE_SHRINK_CENTER) + spin_slider.set_custom_minimum_size(Vector2(65, 0)) + + # Create horizontal slider linked to the above box + slider = HSlider.new() + slider.share(spin_slider) + if p_flags & ALLOW_LARGER: + slider.set_allow_greater(true) + if p_flags & ALLOW_SMALLER: + slider.set_allow_lesser(true) + + pending_children.push_back(slider) + pending_children.push_back(spin_slider) + control = spin_slider + + else: # DOUBLE_SLIDER + var label := Label.new() + label.set_custom_minimum_size(Vector2(60, 0)) + label.set_horizontal_alignment(HORIZONTAL_ALIGNMENT_CENTER) + slider = DoubleSlider.new() + slider.label = label + slider.suffix = p_suffix + slider.value_changed.connect(_on_setting_changed) + pending_children.push_back(slider) + pending_children.push_back(label) + control = slider + + slider.set_min(p_minimum) + slider.set_max(p_maximum) + slider.set_step(p_step) + slider.set_value(p_default) + slider.set_v_size_flags(SIZE_SHRINK_CENTER) + slider.set_custom_minimum_size(Vector2(50, 10)) + + if !(p_flags & NO_SAVE): + slider.set_value(plugin.get_setting(ES_TOOL_SETTINGS + p_name, p_default)) + slider.value_changed.connect( ( + func(value, path): + plugin.set_setting(path, value) + ).bind(ES_TOOL_SETTINGS + p_name) ) + else: + slider.set_value(p_default) + + control.name = p_name.to_pascal_case() + settings[p_name] = control + + # Setup button labels + if not (p_flags & NO_LABEL): + # Labels are actually buttons styled to look like labels + var label := Button.new() + label.set("theme_override_styles/normal", get_theme_stylebox("normal", "Label")) + label.set("theme_override_styles/hover", get_theme_stylebox("normal", "Label")) + label.set("theme_override_styles/pressed", get_theme_stylebox("normal", "Label")) + label.set("theme_override_styles/focus", get_theme_stylebox("normal", "Label")) + label.pressed.connect(_on_label_pressed.bind(p_name, p_default)) + if p_label.is_empty(): + label.set_text(p_name.capitalize() + ": ") + else: + label.set_text(p_label.capitalize() + ": ") + pending_children.push_front(label) + + # Add separators to front + if p_flags & ADD_SEPARATOR: + pending_children.push_front(VSeparator.new()) + if p_flags & ADD_SPACER: + var spacer := Control.new() + spacer.set_custom_minimum_size(Vector2(5, 0)) + pending_children.push_front(spacer) + + # Add all children to container and list + for child in pending_children: + container.add_child(child, true) + p_list.add_child(container, true) + + +# If label button is pressed, reset value to default or toggle checkbox +func _on_label_pressed(p_name: String, p_default: Variant) -> void: + var control: Control = settings.get(p_name) + if not control: + return + if control is CheckBox: + set_setting(p_name, !control.button_pressed) + elif p_default != null: + set_setting(p_name, p_default) + + +func get_settings() -> Dictionary: + var dict: Dictionary + for key in settings.keys(): + dict[key] = get_setting(key) + return dict + + +func get_setting(p_setting: String) -> Variant: + var object: Object = settings.get(p_setting) + var value: Variant + if object is Range: + value = object.get_value() + # Adjust widths of all sliders on update of values + var digits: float = count_digits(value) + var width: float = clamp( (1 + count_digits(value)) * 19., 50, 80) * clamp(EditorInterface.get_editor_scale(), .9, 2) + object.set_custom_minimum_size(Vector2(width, 0)) + elif object is DoubleSlider: + value = object.get_value() + elif object is ButtonGroup: # "brush" + value = selected_brush_imgs + elif object is CheckBox: + value = object.is_pressed() + elif object is ColorPickerButton: + value = object.color + elif object is MultiPicker: + value = object.get_points() + if value == null: + value = 0 + return value + + +func set_setting(p_setting: String, p_value: Variant) -> void: + var object: Object = settings.get(p_setting) + if object is DoubleSlider: # Expects p_value is Vector2 + object.set_value(p_value) + elif object is Range: + object.set_value(p_value) + elif object is ButtonGroup: # Expects p_value is Array [ "button name", boolean ] + if p_value is Array and p_value.size() == 2: + for button in object.get_buttons(): + if button.name == p_value[0]: + button.button_pressed = p_value[1] + elif object is CheckBox: + object.button_pressed = p_value + elif object is ColorPickerButton: + object.color = p_value + plugin.set_setting(ES_TOOL_SETTINGS + p_setting, p_value) # Signal doesn't fire on CPB + elif object is MultiPicker: # Expects p_value is PackedVector3Array + object.points = p_value + _on_setting_changed(object) + + +func show_settings(p_settings: PackedStringArray) -> void: + for setting in settings.keys(): + var object: Object = settings[setting] + if object is Control: + if setting in p_settings: + object.get_parent().show() + else: + object.get_parent().hide() + if select_brush_button: + if not "brush" in p_settings: + select_brush_button.hide() + else: + select_brush_button.show() + + +func _on_setting_changed(p_setting: Variant = null) -> void: + # If a brush was selected + if p_setting is Button and p_setting.get_parent().name == "BrushList": + _generate_brush_texture(p_setting) + # Optionally Set selected brush texture in main brush button + if select_brush_button: + select_brush_button.set_button_icon(p_setting.get_button_icon()) + # Hide popup + p_setting.get_parent().get_parent().set_visible(false) + # Hide label + if p_setting.get_child_count() > 0: + p_setting.get_child(0).visible = false + emit_signal("setting_changed", p_setting) + + +func _generate_brush_texture(p_btn: Button) -> void: + if p_btn is Button: + var img: Image = p_btn.get_meta("image") + if img.get_width() < 1024 and img.get_height() < 1024: + img = img.duplicate() + img.resize(1024, 1024, Image.INTERPOLATE_CUBIC) + var tex: ImageTexture = ImageTexture.create_from_image(img) + selected_brush_imgs = [ img, tex ] + + +func _on_drawable_toggled(p_button_pressed: bool) -> void: + if not p_button_pressed: + settings["gradient_points"].clear() + + +func _get_brush_preview_material() -> ShaderMaterial: + if !brush_preview_material: + brush_preview_material = ShaderMaterial.new() + var shader: Shader = Shader.new() + var code: String = "shader_type canvas_item;\n" + code += "varying vec4 v_vertex_color;\n" + code += "void vertex() {\n" + code += " v_vertex_color = COLOR;\n" + code += "}\n" + code += "void fragment(){\n" + code += " vec4 tex = texture(TEXTURE, UV);\n" + code += " COLOR.a *= pow(tex.r, 0.666);\n" + code += " COLOR.rgb = v_vertex_color.rgb;\n" + code += "}\n" + shader.set_code(code) + brush_preview_material.set_shader(shader) + return brush_preview_material + + +# Counts digits of a number including negative sign, decimal points, and up to 3 decimals +func count_digits(p_value: float) -> int: + var count: int = 1 + for i in range(5, 0, -1): + if abs(p_value) >= pow(10, i): + count = i+1 + break + if p_value - floor(p_value) >= .1: + count += 1 # For the decimal + if p_value*10 - floor(p_value*10.) >= .1: + count += 1 + if p_value*100 - floor(p_value*100.) >= .1: + count += 1 + if p_value*1000 - floor(p_value*1000.) >= .1: + count += 1 + # Negative sign + if p_value < 0: + count += 1 + return count + diff --git a/addons/terrain_3d/src/tool_settings.gd.uid b/addons/terrain_3d/src/tool_settings.gd.uid new file mode 100644 index 0000000..b6c65fb --- /dev/null +++ b/addons/terrain_3d/src/tool_settings.gd.uid @@ -0,0 +1 @@ +uid://ciskaaennrffu diff --git a/addons/terrain_3d/src/toolbar.gd b/addons/terrain_3d/src/toolbar.gd new file mode 100644 index 0000000..fc68b86 --- /dev/null +++ b/addons/terrain_3d/src/toolbar.gd @@ -0,0 +1,154 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Toolbar for Terrain3D +extends VFlowContainer + +signal tool_changed(p_tool: Terrain3DEditor.Tool, p_operation: Terrain3DEditor.Operation) + +const ICON_REGION_ADD: String = "res://addons/terrain_3d/icons/region_add.svg" +const ICON_REGION_REMOVE: String = "res://addons/terrain_3d/icons/region_remove.svg" +const ICON_HEIGHT_ADD: String = "res://addons/terrain_3d/icons/height_add.svg" +const ICON_HEIGHT_SUB: String = "res://addons/terrain_3d/icons/height_sub.svg" +const ICON_HEIGHT_FLAT: String = "res://addons/terrain_3d/icons/height_flat.svg" +const ICON_HEIGHT_SLOPE: String = "res://addons/terrain_3d/icons/height_slope.svg" +const ICON_HEIGHT_SMOOTH: String = "res://addons/terrain_3d/icons/height_smooth.svg" +const ICON_PAINT_TEXTURE: String = "res://addons/terrain_3d/icons/texture_paint.svg" +const ICON_SPRAY_TEXTURE: String = "res://addons/terrain_3d/icons/texture_spray.svg" +const ICON_COLOR: String = "res://addons/terrain_3d/icons/color_paint.svg" +const ICON_WETNESS: String = "res://addons/terrain_3d/icons/wetness.svg" +const ICON_AUTOSHADER: String = "res://addons/terrain_3d/icons/autoshader.svg" +const ICON_HOLES: String = "res://addons/terrain_3d/icons/holes.svg" +const ICON_NAVIGATION: String = "res://addons/terrain_3d/icons/navigation.svg" +const ICON_INSTANCER: String = "res://addons/terrain_3d/icons/multimesh.svg" + +var add_tool_group: ButtonGroup = ButtonGroup.new() +var sub_tool_group: ButtonGroup = ButtonGroup.new() +var buttons: Dictionary + + +func _init() -> void: + set_custom_minimum_size(Vector2(20, 0)) + + +func _ready() -> void: + add_tool_group.pressed.connect(_on_tool_selected) + sub_tool_group.pressed.connect(_on_tool_selected) + + add_tool_button({ "tool":Terrain3DEditor.REGION, + "add_text":"Add Region (E)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_REGION_ADD, + "sub_text":"Remove Region", "sub_op":Terrain3DEditor.SUBTRACT, "sub_icon":ICON_REGION_REMOVE }) + + add_child(HSeparator.new()) + + add_tool_button({ "tool":Terrain3DEditor.SCULPT, + "add_text":"Raise (R)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_HEIGHT_ADD, + "sub_text":"Lower (R)", "sub_op":Terrain3DEditor.SUBTRACT, "sub_icon":ICON_HEIGHT_SUB }) + + add_tool_button({ "tool":Terrain3DEditor.SCULPT, + "add_text":"Smooth (Shift)", "add_op":Terrain3DEditor.AVERAGE, "add_icon":ICON_HEIGHT_SMOOTH }) + + add_tool_button({ "tool":Terrain3DEditor.HEIGHT, + "add_text":"Height (H)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_HEIGHT_FLAT, + "sub_text":"Height (H)", "sub_op":Terrain3DEditor.SUBTRACT, "sub_icon":ICON_HEIGHT_FLAT }) + + add_tool_button({ "tool":Terrain3DEditor.SCULPT, + "add_text":"Slope (S)", "add_op":Terrain3DEditor.GRADIENT, "add_icon":ICON_HEIGHT_SLOPE }) + + add_child(HSeparator.new()) + + add_tool_button({ "tool":Terrain3DEditor.TEXTURE, + "add_text":"Paint Texture (B)", "add_op":Terrain3DEditor.REPLACE, "add_icon":ICON_PAINT_TEXTURE }) + + add_tool_button({ "tool":Terrain3DEditor.TEXTURE, + "add_text":"Spray Texture (V)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_SPRAY_TEXTURE }) + + add_tool_button({ "tool":Terrain3DEditor.AUTOSHADER, + "add_text":"Paint Autoshader (A)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_AUTOSHADER, + "sub_text":"Disable Autoshader (A)", "sub_op":Terrain3DEditor.SUBTRACT }) + + add_child(HSeparator.new()) + + add_tool_button({ "tool":Terrain3DEditor.COLOR, + "add_text":"Paint Color (C)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_COLOR, + "sub_text":"Remove Color (C)", "sub_op":Terrain3DEditor.SUBTRACT }) + + add_tool_button({ "tool":Terrain3DEditor.ROUGHNESS, + "add_text":"Paint Wetness (W)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_WETNESS, + "sub_text":"Remove Wetness (W)", "sub_op":Terrain3DEditor.SUBTRACT }) + + add_child(HSeparator.new()) + + add_tool_button({ "tool":Terrain3DEditor.HOLES, + "add_text":"Add Holes (X)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_HOLES, + "sub_text":"Remove Holes (X)", "sub_op":Terrain3DEditor.SUBTRACT }) + + add_tool_button({ "tool":Terrain3DEditor.NAVIGATION, + "add_text":"Paint Navigable Area (N)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_NAVIGATION, + "sub_text":"Remove Navigable Area (N)", "sub_op":Terrain3DEditor.SUBTRACT }) + + add_tool_button({ "tool":Terrain3DEditor.INSTANCER, + "add_text":"Instance Meshes (I)", "add_op":Terrain3DEditor.ADD, "add_icon":ICON_INSTANCER, + "sub_text":"Remove Meshes (I)", "sub_op":Terrain3DEditor.SUBTRACT }) + + # Select first button + var buttons: Array[BaseButton] = add_tool_group.get_buttons() + buttons[0].set_pressed(true) + show_add_buttons(true) + + +func add_tool_button(p_params: Dictionary) -> void: + # Additive button + var button := Button.new() + var name_str: String = p_params.get("add_text", "blank").get_slice('(', 0).to_pascal_case() + button.set_name(name_str) + button.set_meta("Tool", p_params.get("tool", 0)) + button.set_meta("Operation", p_params.get("add_op", 0)) + button.set_meta("ID", add_tool_group.get_buttons().size() + 1) + button.set_tooltip_text(p_params.get("add_text", "blank")) + button.set_button_icon(load(p_params.get("add_icon"))) + button.set_flat(true) + button.set_toggle_mode(true) + button.set_h_size_flags(SIZE_SHRINK_END) + button.set_button_group(p_params.get("group", add_tool_group)) + add_child(button, true) + buttons[button.get_name()] = button + + # Subtractive button + var button2: Button + if p_params.has("sub_text"): + button2 = Button.new() + name_str = p_params.get("sub_text", "blank").get_slice('(', 0).to_pascal_case() + button2.set_name(name_str) + button2.set_meta("Tool", p_params.get("tool", 0)) + button2.set_meta("Operation", p_params.get("sub_op", 0)) + button2.set_meta("ID", button.get_meta("ID")) + button2.set_tooltip_text(p_params.get("sub_text", "blank")) + button2.set_button_icon(load(p_params.get("sub_icon", p_params.get("add_icon")))) + button2.set_flat(true) + button2.set_toggle_mode(true) + button2.set_h_size_flags(SIZE_SHRINK_END) + else: + button2 = button.duplicate() + button2.set_button_group(p_params.get("group", sub_tool_group)) + add_child(button2, true) + buttons[button2.get_name()] = button + + +func get_button(p_name: String) -> Button: + return buttons.get(p_name, null) + + +func show_add_buttons(p_enable: bool) -> void: + for button in add_tool_group.get_buttons(): + button.visible = p_enable + for button in sub_tool_group.get_buttons(): + button.visible = !p_enable + + +func _on_tool_selected(p_button: BaseButton) -> void: + # Select same tool on negative bar + var group: ButtonGroup = p_button.get_button_group() + var change_group: ButtonGroup = add_tool_group if group == sub_tool_group else sub_tool_group + var id: int = p_button.get_meta("ID", -2) + for button in change_group.get_buttons(): + button.set_pressed_no_signal(button.get_meta("ID", -1) == id) + emit_signal("tool_changed", p_button.get_meta("Tool", Terrain3DEditor.TOOL_MAX), p_button.get_meta("Operation", Terrain3DEditor.OP_MAX)) diff --git a/addons/terrain_3d/src/toolbar.gd.uid b/addons/terrain_3d/src/toolbar.gd.uid new file mode 100644 index 0000000..6ba79d5 --- /dev/null +++ b/addons/terrain_3d/src/toolbar.gd.uid @@ -0,0 +1 @@ +uid://b1j37u6utjbom diff --git a/addons/terrain_3d/src/ui.gd b/addons/terrain_3d/src/ui.gd new file mode 100644 index 0000000..7c4d740 --- /dev/null +++ b/addons/terrain_3d/src/ui.gd @@ -0,0 +1,576 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# UI for Terrain3D +extends Node + + +# Includes +const TerrainMenu: Script = preload("res://addons/terrain_3d/menu/terrain_menu.gd") +const Toolbar: Script = preload("res://addons/terrain_3d/src/toolbar.gd") +const ToolSettings: Script = preload("res://addons/terrain_3d/src/tool_settings.gd") +const OperationBuilder: Script = preload("res://addons/terrain_3d/src/operation_builder.gd") +const GradientOperationBuilder: Script = preload("res://addons/terrain_3d/src/gradient_operation_builder.gd") +const COLOR_RAISE := Color.WHITE +const COLOR_LOWER := Color.BLACK +const COLOR_SMOOTH := Color(0.5, 0, .2) +const COLOR_LIFT := Color.ORANGE +const COLOR_FLATTEN := Color.BLUE_VIOLET +const COLOR_HEIGHT := Color(0., 0.32, .4) +const COLOR_SLOPE := Color.YELLOW +const COLOR_PAINT := Color.DARK_GREEN +const COLOR_SPRAY := Color.PALE_GREEN +const COLOR_ROUGHNESS := Color.ROYAL_BLUE +const COLOR_AUTOSHADER := Color.DODGER_BLUE +const COLOR_HOLES := Color.BLACK +const COLOR_NAVIGATION := Color(.28, .0, .25) +const COLOR_INSTANCER := Color.CRIMSON +const COLOR_PICK_COLOR := Color.WHITE +const COLOR_PICK_HEIGHT := Color.DARK_RED +const COLOR_PICK_ROUGH := Color.ROYAL_BLUE + +const OP_NONE: int = 0x0 +const OP_POSITIVE_ONLY: int = 0x01 +const OP_NEGATIVE_ONLY: int = 0x02 + +const RING1: String = "res://addons/terrain_3d/brushes/ring1.exr" +var ring_texture : ImageTexture +@onready var region_texture := ImageTexture.new() : + set(value): + var image: Image = Image.create_empty(1, 1, false, Image.FORMAT_R8) + image.fill(Color.WHITE) + value.create_from_image(image) + region_texture = value +var plugin: EditorPlugin # Actually Terrain3DEditorPlugin, but Godot still has CRC errors +var toolbar: Toolbar +var tool_settings: ToolSettings +var terrain_menu: TerrainMenu +var setting_has_changed: bool = false +var visible: bool = false +var picking: int = Terrain3DEditor.TOOL_MAX +var picking_callback: Callable +var brush_data: Dictionary +var operation_builder: OperationBuilder +var active_tool: Terrain3DEditor.Tool +var _selected_tool: Terrain3DEditor.Tool +var active_operation: Terrain3DEditor.Operation +var _selected_operation: Terrain3DEditor.Operation +var inverted_input: bool = false + +# Editor decals, indices; 0 = main brush, 1 = slope point A, 2 = slope point B +var mat_rid: RID +var editor_decal_position: Array[Vector2] = [Vector2(), Vector2(), Vector2()] +var editor_decal_rotation: Array[float] = [float(), float(), float()] +var editor_decal_size: Array[float] = [float(), float(), float()] +var editor_decal_color: Array[Color] = [Color(), Color(), Color()] +var editor_decal_visible: Array[bool] = [bool(), bool(), bool()] +var editor_brush_texture_rid: RID = RID() +var editor_decal_timer: Timer +var editor_decal_fade: float : + set(value): + editor_decal_fade = value + if editor_decal_color.size() > 0: + editor_decal_color[0].a = value + if is_shader_valid(): + RenderingServer.material_set_param(mat_rid, "_editor_decal_color", editor_decal_color) + if value < 0.001: + var r_map: PackedInt32Array = plugin.terrain.data.get_region_map() + RenderingServer.material_set_param(mat_rid, "_region_map", r_map) +var editor_ring_texture_rid: RID + + +func _enter_tree() -> void: + toolbar = Toolbar.new() + toolbar.hide() + toolbar.tool_changed.connect(_on_tool_changed) + + tool_settings = ToolSettings.new() + tool_settings.setting_changed.connect(_on_setting_changed) + tool_settings.picking.connect(_on_picking) + tool_settings.plugin = plugin + tool_settings.hide() + + terrain_menu = TerrainMenu.new() + terrain_menu.plugin = plugin + terrain_menu.hide() + + plugin.add_control_to_container(EditorPlugin.CONTAINER_SPATIAL_EDITOR_SIDE_LEFT, toolbar) + plugin.add_control_to_container(EditorPlugin.CONTAINER_SPATIAL_EDITOR_BOTTOM, tool_settings) + plugin.add_control_to_container(EditorPlugin.CONTAINER_SPATIAL_EDITOR_MENU, terrain_menu) + + _on_tool_changed(Terrain3DEditor.REGION, Terrain3DEditor.ADD) + + editor_decal_timer = Timer.new() + editor_decal_timer.wait_time = .5 + editor_decal_timer.one_shot = true + editor_decal_timer.timeout.connect(func(): + get_tree().create_tween().tween_property(self, "editor_decal_fade", 0.0, 0.15)) + add_child(editor_decal_timer) + + +func _ready() -> void: + var img: Image = Image.load_from_file(RING1) + img.convert(Image.FORMAT_R8) + ring_texture = ImageTexture.create_from_image(img) + editor_ring_texture_rid = ring_texture.get_rid() + + +func _exit_tree() -> void: + plugin.remove_control_from_container(EditorPlugin.CONTAINER_SPATIAL_EDITOR_SIDE_LEFT, toolbar) + plugin.remove_control_from_container(EditorPlugin.CONTAINER_SPATIAL_EDITOR_BOTTOM, tool_settings) + toolbar.queue_free() + tool_settings.queue_free() + terrain_menu.queue_free() + editor_decal_timer.queue_free() + + +func set_visible(p_visible: bool, p_menu_only: bool = false) -> void: + terrain_menu.set_visible(p_visible) + + if p_menu_only: + toolbar.set_visible(false) + tool_settings.set_visible(false) + else: + visible = p_visible + toolbar.set_visible(p_visible) + tool_settings.set_visible(p_visible) + update_decal() + + if plugin.editor: + if p_visible: + await get_tree().create_timer(.01).timeout # Won't work, otherwise + _on_tool_changed(_selected_tool, _selected_operation) + else: + plugin.editor.set_tool(Terrain3DEditor.TOOL_MAX) + plugin.editor.set_operation(Terrain3DEditor.OP_MAX) + + +func set_menu_visibility(p_list: Control, p_visible: bool) -> void: + if p_list: + p_list.get_parent().get_parent().visible = p_visible + + +func _on_tool_changed(p_tool: Terrain3DEditor.Tool, p_operation: Terrain3DEditor.Operation) -> void: + _selected_tool = p_tool + _selected_operation = p_operation + clear_picking() + set_menu_visibility(tool_settings.advanced_list, true) + set_menu_visibility(tool_settings.scale_list, false) + set_menu_visibility(tool_settings.rotation_list, false) + set_menu_visibility(tool_settings.height_list, false) + set_menu_visibility(tool_settings.color_list, false) + + # Select which settings to show. Options in tool_settings.gd:_ready + var to_show: PackedStringArray = [] + + match _selected_tool: + Terrain3DEditor.REGION: + to_show.push_back("instructions") + to_show.push_back("invert") + set_menu_visibility(tool_settings.advanced_list, false) + + Terrain3DEditor.SCULPT: + to_show.push_back("brush") + to_show.push_back("size") + to_show.push_back("strength") + if _selected_operation in [Terrain3DEditor.ADD, Terrain3DEditor.SUBTRACT]: + to_show.push_back("invert") + elif _selected_operation == Terrain3DEditor.GRADIENT: + to_show.push_back("gradient_points") + to_show.push_back("drawable") + + Terrain3DEditor.HEIGHT: + to_show.push_back("brush") + to_show.push_back("size") + to_show.push_back("strength") + to_show.push_back("height") + to_show.push_back("height_picker") + to_show.push_back("invert") + + Terrain3DEditor.TEXTURE: + to_show.push_back("brush") + to_show.push_back("size") + to_show.push_back("enable_texture") + if _selected_operation == Terrain3DEditor.ADD: + to_show.push_back("strength") + to_show.push_back("invert") + to_show.push_back("slope") + to_show.push_back("enable_angle") + to_show.push_back("angle") + to_show.push_back("angle_picker") + to_show.push_back("dynamic_angle") + to_show.push_back("enable_scale") + to_show.push_back("scale") + to_show.push_back("scale_picker") + + Terrain3DEditor.COLOR: + to_show.push_back("brush") + to_show.push_back("size") + to_show.push_back("strength") + to_show.push_back("color") + to_show.push_back("color_picker") + to_show.push_back("slope") + to_show.push_back("texture_filter") + to_show.push_back("margin") + to_show.push_back("invert") + + Terrain3DEditor.ROUGHNESS: + to_show.push_back("brush") + to_show.push_back("size") + to_show.push_back("strength") + to_show.push_back("roughness") + to_show.push_back("roughness_picker") + to_show.push_back("slope") + to_show.push_back("texture_filter") + to_show.push_back("margin") + to_show.push_back("invert") + + Terrain3DEditor.AUTOSHADER, Terrain3DEditor.HOLES, Terrain3DEditor.NAVIGATION: + to_show.push_back("brush") + to_show.push_back("size") + to_show.push_back("invert") + + Terrain3DEditor.INSTANCER: + to_show.push_back("size") + to_show.push_back("strength") + to_show.push_back("slope") + set_menu_visibility(tool_settings.height_list, true) + to_show.push_back("height_offset") + to_show.push_back("random_height") + set_menu_visibility(tool_settings.scale_list, true) + to_show.push_back("fixed_scale") + to_show.push_back("random_scale") + set_menu_visibility(tool_settings.rotation_list, true) + to_show.push_back("fixed_spin") + to_show.push_back("random_spin") + to_show.push_back("fixed_tilt") + to_show.push_back("random_tilt") + to_show.push_back("align_to_normal") + set_menu_visibility(tool_settings.color_list, true) + to_show.push_back("vertex_color") + to_show.push_back("random_darken") + to_show.push_back("random_hue") + to_show.push_back("invert") + + _: + pass + + # Advanced menu settings + to_show.push_back("auto_regions") + to_show.push_back("align_to_view") + to_show.push_back("show_cursor_while_painting") + to_show.push_back("gamma") + to_show.push_back("jitter") + to_show.push_back("crosshair_threshold") + tool_settings.show_settings(to_show) + + operation_builder = null + if _selected_operation == Terrain3DEditor.GRADIENT: + operation_builder = GradientOperationBuilder.new() + operation_builder.tool_settings = tool_settings + + _on_setting_changed() + plugin.update_region_grid() + + +func _on_setting_changed(p_setting: Variant = null) -> void: + if not plugin.asset_dock: # Skip function if not _ready() + return + brush_data = tool_settings.get_settings() + brush_data["asset_id"] = plugin.asset_dock.get_current_list().get_selected_id() + if plugin.editor: + plugin.editor.set_brush_data(brush_data) + inverted_input = brush_data.get("invert", false) + if p_setting is CheckBox and p_setting.name == &"Invert": + plugin._read_input() # Revalidate keyboard input for modifier_ctrl + set_active_operation() + update_decal() + + +# Change tool/operation based on modifiers. Called from: +# * editor_plugin.gd:_read_input() - when a modifier key is pressed +# * _on_tool_changed() via: +# * _on_setting_changed() eg. Touchscreen Invert +func set_active_operation() -> void: + var inverted: bool = plugin.modifier_ctrl || inverted_input + + # Toggle toolbar buttons + toolbar.show_add_buttons(not inverted) + + # If Shift, Smoothness + if plugin.modifier_shift and not inverted: + active_tool = Terrain3DEditor.SCULPT + active_operation = Terrain3DEditor.AVERAGE + + # Else if Ctrl/Invert checked, opposite + elif _selected_operation == Terrain3DEditor.ADD and inverted: + active_tool = _selected_tool + active_operation = Terrain3DEditor.SUBTRACT + elif _selected_operation == Terrain3DEditor.SUBTRACT and not inverted: + active_tool = _selected_tool + active_operation = Terrain3DEditor.ADD + + # Else use default and set + else: + active_tool = _selected_tool + active_operation = _selected_operation + + if plugin.editor: + plugin.editor.set_tool(active_tool) + plugin.editor.set_operation(active_operation) + + +func update_decal() -> void: + if not plugin.terrain or brush_data.size() <= 3: + return + mat_rid = plugin.terrain.material.get_material_rid() + editor_decal_timer.start() + + # If not a state that should show the decal, hide everything and return + if not visible or \ + plugin._input_mode < 0 or \ + # After moving camera, wait for mouse cursor to update before revealing + # See https://github.com/godotengine/godot/issues/70098 + Time.get_ticks_msec() - plugin.rmb_release_time <= 100 or \ + (plugin._input_mode > 0 and not brush_data["show_cursor_while_painting"]): + hide_decal() + return + + reset_decal_arrays() + editor_decal_position[0] = Vector2(plugin.mouse_global_position.x, plugin.mouse_global_position.z) + editor_decal_visible[0] = true + # Set region size, and modify region map for none background mode. + var r_map: PackedInt32Array = plugin.terrain.data.get_region_map() + if plugin.editor.get_tool() == Terrain3DEditor.REGION: + var r_size: float = float(plugin.terrain.get_region_size()) * plugin.terrain.get_vertex_spacing() + var map_size: int = plugin.terrain.data.REGION_MAP_SIZE + var half_r_size: float = r_size * 0.5 + var pos: Vector2 = (Vector2(plugin.mouse_global_position.x, plugin.mouse_global_position.z) + + Vector2(half_r_size, half_r_size)).snappedf(r_size) - Vector2(half_r_size, half_r_size) + editor_brush_texture_rid = region_texture.get_rid() + editor_decal_position[0] = pos + editor_decal_size[0] = r_size + editor_decal_rotation[0] = 0.0 + + var loc: Vector2i = plugin.terrain.data.get_region_location(plugin.mouse_global_position) + loc += Vector2i(map_size / 2, map_size / 2) + if !(loc.x < 0 or loc.x > map_size - 1 or loc.y < 0 or loc.y > map_size - 1): + var index: int = clampi(loc.y * map_size + loc.x, 0, map_size * map_size - 1) + if plugin.terrain.material.get_world_background() == Terrain3DMaterial.WorldBackground.NONE: + if r_map[index] == 0 and active_operation == Terrain3DEditor.ADD: + r_map[index] = -index - 1 + else: + r_map[index] = r_map[index] + + match active_operation: + Terrain3DEditor.ADD: + if r_map[index] <= 0: + editor_decal_color[0] = Color.WHITE + editor_decal_color[0].a = 0.25 + else: + hide_decal() + + Terrain3DEditor.SUBTRACT: + if r_map[index] > 0: + editor_decal_color[0] = Color.WHITE * .15 + editor_decal_color[0].a = 0.75 + else: + hide_decal() + else: + hide_decal() + # Set texture and color + elif picking != Terrain3DEditor.TOOL_MAX: + editor_brush_texture_rid = ring_texture.get_rid() + editor_decal_size[0] = 10. * plugin.terrain.get_vertex_spacing() + match picking: + Terrain3DEditor.HEIGHT: + editor_decal_color[0] = COLOR_PICK_HEIGHT + Terrain3DEditor.COLOR: + editor_decal_color[0] = COLOR_PICK_COLOR + Terrain3DEditor.ROUGHNESS: + editor_decal_color[0] = COLOR_PICK_ROUGH + editor_decal_color[0].a = 1.0 + else: + editor_brush_texture_rid = brush_data["brush"][1].get_rid() + editor_decal_size[0] = maxf(brush_data["size"], .5) + if brush_data["align_to_view"]: + var cam: Camera3D = plugin.terrain.get_camera(); + if (cam): + editor_decal_rotation[0] = cam.rotation.y + else: + editor_decal_rotation[0] = 0. + match plugin.editor.get_tool(): + Terrain3DEditor.SCULPT: + match active_operation: + Terrain3DEditor.ADD: + if plugin.modifier_alt: + editor_decal_color[0] = COLOR_LIFT + editor_decal_color[0].a = clamp(brush_data["strength"], .2, .5) + else: + editor_decal_color[0] = COLOR_RAISE + editor_decal_color[0].a = clamp(brush_data["strength"], .25, .5) + Terrain3DEditor.SUBTRACT: + if plugin.modifier_alt: + editor_decal_color[0] = COLOR_FLATTEN + editor_decal_color[0].a = clamp(brush_data["strength"], .25, .5) + .1 + else: + editor_decal_color[0] = COLOR_LOWER + editor_decal_color[0].a = clamp(brush_data["strength"], .2, .5) + .25 + Terrain3DEditor.AVERAGE: + editor_decal_color[0] = COLOR_SMOOTH + editor_decal_color[0].a = clamp(brush_data["strength"], .2, .5) + .25 + Terrain3DEditor.GRADIENT: + editor_decal_color[0] = COLOR_SLOPE + editor_decal_color[0].a = clamp(brush_data["strength"], .2, .4) + Terrain3DEditor.HEIGHT: + editor_decal_color[0] = COLOR_HEIGHT + editor_decal_color[0].a = clamp(brush_data["strength"], .2, .5) + .25 + Terrain3DEditor.TEXTURE: + match active_operation: + Terrain3DEditor.REPLACE: + editor_decal_color[0] = COLOR_PAINT + editor_decal_color[0].a = .6 + Terrain3DEditor.SUBTRACT: + editor_decal_color[0] = COLOR_PAINT + editor_decal_color[0].a = clamp(brush_data["strength"], .2, .5) + .1 + Terrain3DEditor.ADD: + editor_decal_color[0] = COLOR_SPRAY + editor_decal_color[0].a = clamp(brush_data["strength"], .15, .4) + Terrain3DEditor.COLOR: + editor_decal_color[0] = brush_data["color"].srgb_to_linear() + editor_decal_color[0].a *= clamp(brush_data["strength"], .2, .5) + Terrain3DEditor.ROUGHNESS: + editor_decal_color[0] = COLOR_ROUGHNESS + editor_decal_color[0].a = clamp(brush_data["strength"], .2, .5) + .1 + Terrain3DEditor.AUTOSHADER: + editor_decal_color[0] = COLOR_AUTOSHADER + editor_decal_color[0].a = .6 + Terrain3DEditor.HOLES: + editor_decal_color[0] = COLOR_HOLES + editor_decal_color[0].a = .75 + Terrain3DEditor.NAVIGATION: + editor_decal_color[0] = COLOR_NAVIGATION + editor_decal_color[0].a = .80 + Terrain3DEditor.INSTANCER: + editor_brush_texture_rid = ring_texture.get_rid() + editor_decal_color[0] = COLOR_INSTANCER + editor_decal_color[0].a = .75 + + editor_decal_visible[1] = false + editor_decal_visible[2] = false + + if active_operation == Terrain3DEditor.GRADIENT: + var point1: Vector3 = brush_data["gradient_points"][0] + if point1 != Vector3.ZERO: + editor_decal_color[1] = COLOR_SLOPE + editor_decal_size[1] = 10. * plugin.terrain.get_vertex_spacing() + editor_decal_visible[1] = true + editor_decal_position[1] = Vector2(point1.x, point1.z) + var point2: Vector3 = brush_data["gradient_points"][1] + if point2 != Vector3.ZERO: + editor_decal_color[2] = COLOR_SLOPE + editor_decal_size[2] = 10. * plugin.terrain.get_vertex_spacing() + editor_decal_visible[2] = true + editor_decal_position[2] = Vector2(point2.x, point2.z) + + if RenderingServer.get_current_rendering_method().contains("gl_compatibility"): + for i in editor_decal_color.size(): + editor_decal_color[i].a = maxf(0.1, editor_decal_color[i].a - .25) + + editor_decal_fade = editor_decal_color[0].a + # Update Shader params + if is_shader_valid(): + RenderingServer.material_set_param(mat_rid, "_editor_brush_texture", editor_brush_texture_rid) + RenderingServer.material_set_param(mat_rid, "_editor_ring_texture", editor_ring_texture_rid) + RenderingServer.material_set_param(mat_rid, "_editor_decal_position", editor_decal_position) + RenderingServer.material_set_param(mat_rid, "_editor_decal_rotation", editor_decal_rotation) + RenderingServer.material_set_param(mat_rid, "_editor_decal_size", editor_decal_size) + RenderingServer.material_set_param(mat_rid, "_editor_decal_color", editor_decal_color) + RenderingServer.material_set_param(mat_rid, "_editor_decal_visible", editor_decal_visible) + RenderingServer.material_set_param(mat_rid, "_editor_crosshair_threshold", brush_data["crosshair_threshold"] + 0.1) + RenderingServer.material_set_param(mat_rid, "_region_map", r_map) + + +func is_shader_valid() -> bool: + # As long as the compiled shader contains at least 1 uniform, we can use it to check + # if the shader compilation has failed, as this will then return an empty dictionary. + if not plugin.terrain: + return false + var params = RenderingServer.get_shader_parameter_list(plugin.terrain.material.get_shader_rid()) + if params.is_empty(): + return false + else: + return true + + +func hide_decal() -> void: + editor_decal_visible = [false, false, false] + if is_shader_valid(): + var r_map: PackedInt32Array = plugin.terrain.data.get_region_map() + RenderingServer.material_set_param(mat_rid, "_editor_decal_visible", editor_decal_visible) + RenderingServer.material_set_param(mat_rid, "_region_map", r_map) + + +# These array sizes are reset to 0 when closing scenes for some unknown reason, so check and reset +func reset_decal_arrays() -> void: + if editor_decal_color.size() < 3: + editor_decal_position = [Vector2(), Vector2(), Vector2()] + editor_decal_rotation = [float(), float(), float()] + editor_decal_size = [float(), float(), float()] + editor_decal_color = [Color(), Color(), Color()] + editor_decal_visible = [false, false, false] + editor_brush_texture_rid = RID() + + +func set_decal_rotation(p_rot: float) -> void: + editor_decal_rotation[0] = p_rot + if is_shader_valid(): + RenderingServer.material_set_param(mat_rid, "_editor_decal_rotation", editor_decal_rotation) + + +func _on_picking(p_type: Terrain3DEditor.Tool, p_callback: Callable) -> void: + picking = p_type + picking_callback = p_callback + update_decal() + + +func clear_picking() -> void: + picking = Terrain3DEditor.TOOL_MAX + + +func is_picking() -> bool: + if picking != Terrain3DEditor.TOOL_MAX: + return true + + if operation_builder and operation_builder.is_picking(): + return true + + return false + + +func pick(p_global_position: Vector3) -> void: + if picking != Terrain3DEditor.TOOL_MAX: + var color: Color + match picking: + Terrain3DEditor.HEIGHT, Terrain3DEditor.SCULPT: + color = Color(plugin.terrain.data.get_height(p_global_position), 0., 0., 1.) + Terrain3DEditor.ROUGHNESS: + color = plugin.terrain.data.get_pixel(Terrain3DRegion.TYPE_COLOR, p_global_position) + Terrain3DEditor.COLOR: + color = plugin.terrain.data.get_color(p_global_position) + Terrain3DEditor.ANGLE: + color = Color(plugin.terrain.data.get_control_angle(p_global_position), 0., 0., 1.) + Terrain3DEditor.SCALE: + color = Color(plugin.terrain.data.get_control_scale(p_global_position), 0., 0., 1.) + _: + push_error("Unsupported picking type: ", picking) + return + if picking_callback.is_valid(): + picking_callback.call(picking, color, p_global_position) + picking_callback = Callable() + picking = Terrain3DEditor.TOOL_MAX + + elif operation_builder and operation_builder.is_picking(): + operation_builder.pick(p_global_position, plugin.terrain) + + +func set_button_editor_icon(p_button: Button, p_icon_name: String) -> void: + p_button.icon = EditorInterface.get_base_control().get_theme_icon(p_icon_name, "EditorIcons") diff --git a/addons/terrain_3d/src/ui.gd.uid b/addons/terrain_3d/src/ui.gd.uid new file mode 100644 index 0000000..bc20eee --- /dev/null +++ b/addons/terrain_3d/src/ui.gd.uid @@ -0,0 +1 @@ +uid://bpad72s36mwkx diff --git a/addons/terrain_3d/terrain.gdextension b/addons/terrain_3d/terrain.gdextension new file mode 100644 index 0000000..000d085 --- /dev/null +++ b/addons/terrain_3d/terrain.gdextension @@ -0,0 +1,32 @@ +[configuration] + +entry_symbol = "terrain_3d_init" +compatibility_minimum = 4.4 + +[icons] + +Terrain3D = "res://addons/terrain_3d/icons/terrain3d.svg" + +[libraries] + +windows.debug.x86_64 = "res://addons/terrain_3d/bin/libterrain.windows.debug.x86_64.dll" +windows.release.x86_64 = "res://addons/terrain_3d/bin/libterrain.windows.release.x86_64.dll" + +linux.debug.x86_64 = "res://addons/terrain_3d/bin/libterrain.linux.debug.x86_64.so" +linux.release.x86_64 = "res://addons/terrain_3d/bin/libterrain.linux.release.x86_64.so" +linux.debug.arm64 = "res://addons/terrain_3d/bin/libterrain.linux.debug.arm64.so" +linux.release.arm64 = "res://addons/terrain_3d/bin/libterrain.linux.release.arm64.so" +linux.debug.rv64 = "res://addons/terrain_3d/bin/libterrain.linux.debug.rv64.so" +linux.release.rv64 = "res://addons/terrain_3d/bin/libterrain.linux.release.rv64.so" + +macos.debug = "res://addons/terrain_3d/bin/libterrain.macos.debug.framework" +macos.release = "res://addons/terrain_3d/bin/libterrain.macos.release.framework" + +android.debug.arm64 = "res://addons/terrain_3d/bin/libterrain.android.debug.arm64.so" +android.release.arm64 = "res://addons/terrain_3d/bin/libterrain.android.release.arm64.so" + +ios.debug = "res://addons/terrain_3d/bin/libterrain.ios.debug.universal.dylib" +ios.release = "res://addons/terrain_3d/bin/libterrain.ios.release.universal.dylib" + +web.debug = "res://addons/terrain_3d/bin/libterrain.web.debug.wasm32.wasm" +web.release = "res://addons/terrain_3d/bin/libterrain.web.release.wasm32.wasm" diff --git a/addons/terrain_3d/terrain.gdextension.uid b/addons/terrain_3d/terrain.gdextension.uid new file mode 100644 index 0000000..ef58a55 --- /dev/null +++ b/addons/terrain_3d/terrain.gdextension.uid @@ -0,0 +1 @@ +uid://bdn2ygldx56a8 diff --git a/addons/terrain_3d/tools/importer.gd b/addons/terrain_3d/tools/importer.gd new file mode 100644 index 0000000..661099b --- /dev/null +++ b/addons/terrain_3d/tools/importer.gd @@ -0,0 +1,108 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Importer for Terrain3D +@tool +extends Terrain3D + + +@export var clear_all: bool = false : set = reset_settings +@export var clear_terrain: bool = false : set = reset_terrain +@export var update_height_range: bool = false : set = update_heights + + +func reset_settings(p_value) -> void: + if p_value: + height_file_name = "" + control_file_name = "" + color_file_name = "" + destination_directory = "" + import_position = Vector2i.ZERO + height_offset = 0.0 + import_scale = 1.0 + r16_range = Vector2(0, 1) + r16_size = Vector2i(1024, 1024) + material = null + assets = null + reset_terrain(true) + + +func reset_terrain(p_value) -> void: + data_directory = "" + for region:Terrain3DRegion in data.get_regions_active(): + data.remove_region(region, false) + data.update_maps(Terrain3DRegion.TYPE_MAX, true, false) + + +## Recalculates min and max heights for all regions. +func update_heights(p_value) -> void: + if p_value and data: + data.calc_height_range(true) + + +@export_group("Import File") +@export_global_file var height_file_name: String = "" +@export_global_file var control_file_name: String = "" +@export_global_file var color_file_name: String = "" +@export var import_position: Vector2i = Vector2i(0, 0) : set = set_import_position +@export var import_scale: float = 1.0 +@export var height_offset: float = 0.0 +@export var r16_range: Vector2 = Vector2(0, 1) +@export var r16_size: Vector2i = Vector2i(1024, 1024) : set = set_r16_size +@export var run_import: bool = false : set = start_import + +@export_dir var destination_directory: String = "" +@export var save_to_disk: bool = false : set = save_data + + +func set_import_position(p_value: Vector2i) -> void: + import_position.x = clamp(p_value.x, -8192, 8192) + import_position.y = clamp(p_value.y, -8192, 8192) + + +func set_r16_size(p_value: Vector2i) -> void: + r16_size.x = clamp(p_value.x, 0, 16384) + r16_size.y = clamp(p_value.y, 0, 16384) + + +func start_import(p_value: bool) -> void: + if p_value: + print("Terrain3DImporter: Importing files:\n\t%s\n\t%s\n\t%s" % [ height_file_name, control_file_name, color_file_name]) + + var imported_images: Array[Image] + imported_images.resize(Terrain3DRegion.TYPE_MAX) + var min_max := Vector2(0, 1) + var img: Image + if height_file_name: + img = Terrain3DUtil.load_image(height_file_name, ResourceLoader.CACHE_MODE_IGNORE, r16_range, r16_size) + min_max = Terrain3DUtil.get_min_max(img) + imported_images[Terrain3DRegion.TYPE_HEIGHT] = img + if control_file_name: + img = Terrain3DUtil.load_image(control_file_name, ResourceLoader.CACHE_MODE_IGNORE) + imported_images[Terrain3DRegion.TYPE_CONTROL] = img + if color_file_name: + img = Terrain3DUtil.load_image(color_file_name, ResourceLoader.CACHE_MODE_IGNORE) + imported_images[Terrain3DRegion.TYPE_COLOR] = img + if assets.get_texture_count() == 0: + material.show_checkered = false + material.show_colormap = true + var pos := Vector3(import_position.x, 0, import_position.y) + data.import_images(imported_images, pos, height_offset, import_scale) + print("Terrain3DImporter: Import finished") + + +func save_data(p_value: bool) -> void: + if destination_directory.is_empty(): + push_error("Set destination directory first") + return + data.save_directory(destination_directory) + + +@export_group("Export File") +enum { TYPE_HEIGHT, TYPE_CONTROL, TYPE_COLOR } +@export_enum("Height:0", "Control:1", "Color:2") var map_type: int = TYPE_HEIGHT +@export var file_name_out: String = "" +@export var run_export: bool = false : set = start_export + +func start_export(p_value: bool) -> void: + var err: int = data.export_image(file_name_out, map_type) + print("Terrain3DImporter: Export error status: ", err, " ", error_string(err)) + diff --git a/addons/terrain_3d/tools/importer.gd.uid b/addons/terrain_3d/tools/importer.gd.uid new file mode 100644 index 0000000..7a59538 --- /dev/null +++ b/addons/terrain_3d/tools/importer.gd.uid @@ -0,0 +1 @@ +uid://cib2rig7vup10 diff --git a/addons/terrain_3d/tools/importer.tscn b/addons/terrain_3d/tools/importer.tscn new file mode 100644 index 0000000..4bc43c3 --- /dev/null +++ b/addons/terrain_3d/tools/importer.tscn @@ -0,0 +1,63 @@ +[gd_scene load_steps=9 format=3 uid="uid://blaieaqp413k7"] + +[ext_resource type="Script" path="res://addons/terrain_3d/tools/importer.gd" id="1_60b8f"] + +[sub_resource type="Gradient" id="Gradient_88f3t"] +offsets = PackedFloat32Array(0.2, 1) +colors = PackedColorArray(1, 1, 1, 1, 0, 0, 0, 1) + +[sub_resource type="FastNoiseLite" id="FastNoiseLite_muvel"] +noise_type = 2 +frequency = 0.03 +cellular_jitter = 3.0 +cellular_return_type = 0 +domain_warp_enabled = true +domain_warp_type = 1 +domain_warp_amplitude = 50.0 +domain_warp_fractal_type = 2 +domain_warp_fractal_lacunarity = 1.5 +domain_warp_fractal_gain = 1.0 + +[sub_resource type="NoiseTexture2D" id="NoiseTexture2D_ve0yk"] +seamless = true +color_ramp = SubResource("Gradient_88f3t") +noise = SubResource("FastNoiseLite_muvel") + +[sub_resource type="Terrain3DMaterial" id="Terrain3DMaterial_p55u0"] +_shader_parameters = { +"blend_sharpness": 0.87, +"height_blending": true, +"macro_variation1": Color(1, 1, 1, 1), +"macro_variation2": Color(1, 1, 1, 1), +"noise1_angle": 0.0, +"noise1_offset": Vector2(0.5, 0.5), +"noise1_scale": 0.04, +"noise2_scale": 0.076, +"noise3_scale": 0.225, +"noise_texture": SubResource("NoiseTexture2D_ve0yk"), +"vertex_normals_distance": 128.0 +} +show_checkered = true + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_8rvqy"] +cull_mode = 2 +vertex_color_use_as_albedo = true +backlight_enabled = true +backlight = Color(0.5, 0.5, 0.5, 1) + +[sub_resource type="Terrain3DMeshAsset" id="Terrain3DMeshAsset_7je72"] +height_offset = 0.5 +density = 10.0 +material_override = SubResource("StandardMaterial3D_8rvqy") +generated_type = 1 + +[sub_resource type="Terrain3DAssets" id="Terrain3DAssets_op32e"] +mesh_list = Array[Terrain3DMeshAsset]([SubResource("Terrain3DMeshAsset_7je72")]) + +[node name="Importer" type="Terrain3D"] +material = SubResource("Terrain3DMaterial_p55u0") +assets = SubResource("Terrain3DAssets_op32e") +mesh_lods = 8 +top_level = true +script = ExtResource("1_60b8f") +metadata/_edit_lock_ = true diff --git a/addons/terrain_3d/tools/region_mover.gd b/addons/terrain_3d/tools/region_mover.gd new file mode 100644 index 0000000..78dcbd8 --- /dev/null +++ b/addons/terrain_3d/tools/region_mover.gd @@ -0,0 +1,52 @@ +# This script can be used to move your regions by an offset. +# Eventually this tool will find its way into a built in UI +# +# Attach it to your Terrain3D node +# Save and reload your scene +# Select your Terrain3D node +# Enter a valid `offset` where all regions will be within -16, +15 +# Run it +# It should unload the regions, rename files, and reload them +# Clear the script and resave your scene + + +@tool +extends Terrain3D + + +@export var offset: Vector2i +@export var run: bool = false : set = start_rename + + +func start_rename(val: bool = false) -> void: + if val == false or offset == Vector2i.ZERO: + return + + var dir_name: String = data_directory + data_directory = "" + var dir := DirAccess.open(dir_name) + if not dir: + print("An error occurred when trying to access the path: ", data_directory) + return + + var affected_files: PackedStringArray + var files: PackedStringArray = dir.get_files() + for file_name in files: + if file_name.match("terrain3d*.res") and not dir.current_is_dir(): + var region_loc: Vector2i = Terrain3DUtil.filename_to_location(file_name) + var new_loc: Vector2i = region_loc + offset + if new_loc.x < -16 or new_loc.x > 15 or new_loc.y < -16 or new_loc.y > 15: + push_error("New location %.0v out of bounds for region %.0v. Aborting" % [ new_loc, region_loc ]) + return + var new_name: String = "tmp_" + Terrain3DUtil.location_to_filename(new_loc) + dir.rename(file_name, new_name) + affected_files.push_back(new_name) + print("File: %s renamed to: %s" % [ file_name, new_name ]) + + for file_name in affected_files: + var new_name: String = file_name.trim_prefix("tmp_") + dir.rename(file_name, new_name) + print("File: %s renamed to: %s" % [ file_name, new_name ]) + + data_directory = dir_name + EditorInterface.get_resource_filesystem().scan() diff --git a/addons/terrain_3d/tools/region_mover.gd.uid b/addons/terrain_3d/tools/region_mover.gd.uid new file mode 100644 index 0000000..0c9b4e5 --- /dev/null +++ b/addons/terrain_3d/tools/region_mover.gd.uid @@ -0,0 +1 @@ +uid://bngnvtbm6ifkk diff --git a/addons/terrain_3d/utils/terrain_3d_objects.gd b/addons/terrain_3d/utils/terrain_3d_objects.gd new file mode 100644 index 0000000..3a19f6d --- /dev/null +++ b/addons/terrain_3d/utils/terrain_3d_objects.gd @@ -0,0 +1,191 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Objects parent for Terrain3D +# Children nodes get transform updates on sculpting +@tool +extends Node3D +class_name Terrain3DObjects + +const TransformChangedNotifier: Script = preload("res://addons/terrain_3d/utils/transform_changed_notifier.gd") + +const CHILD_HELPER_NAME: StringName = &"TransformChangedSignaller" +const CHILD_HELPER_PATH: NodePath = ^"TransformChangedSignaller" + +var _undo_redo = null +var _terrain_id: int +var _offsets: Dictionary # Object ID -> Vector3(X, Y offset relative to terrain height, Z) +var _ignore_transform_change: bool = false + + +func _enter_tree() -> void: + if not Engine.is_editor_hint(): + return + + for child in get_children(): + _on_child_entered_tree(child) + + child_entered_tree.connect(_on_child_entered_tree) + child_exiting_tree.connect(_on_child_exiting_tree) + + +func _exit_tree() -> void: + if not Engine.is_editor_hint(): + return + + child_entered_tree.disconnect(_on_child_entered_tree) + child_exiting_tree.disconnect(_on_child_exiting_tree) + + for child in get_children(): + _on_child_exiting_tree(child) + + +func editor_setup(p_plugin) -> void: + _undo_redo = p_plugin.get_undo_redo() + + +func get_terrain() -> Terrain3D: + var terrain := instance_from_id(_terrain_id) as Terrain3D + if not terrain or terrain.is_queued_for_deletion() or not terrain.is_inside_tree(): + var terrains: Array[Node] = Engine.get_singleton(&"EditorInterface").get_edited_scene_root().find_children("", "Terrain3D") + if terrains.size() > 0: + terrain = terrains[0] + _terrain_id = terrain.get_instance_id() if terrain else 0 + + if terrain and terrain.data and not terrain.data.maps_edited.is_connected(_on_maps_edited): + terrain.data.maps_edited.connect(_on_maps_edited) + + return terrain + + +func _get_terrain_height(p_global_position: Vector3) -> float: + var terrain: Terrain3D = get_terrain() + if not terrain or not terrain.data: + return 0.0 + var height: float = terrain.data.get_height(p_global_position) + if is_nan(height): + return 0.0 + return height + + +func _on_child_entered_tree(p_node: Node) -> void: + if not (p_node is Node3D): + return + + assert(p_node.get_parent() == self) + + var helper: TransformChangedNotifier = p_node.get_node_or_null(CHILD_HELPER_PATH) + if not helper: + helper = TransformChangedNotifier.new() + helper.name = CHILD_HELPER_NAME + p_node.add_child(helper, true, INTERNAL_MODE_BACK) + assert(p_node.has_node(CHILD_HELPER_PATH)) + + # When reparenting a Node3D, Godot changes its transform _after_ reparenting it. So here, + # we must use call_deferred, to avoid receiving transform_changed as a result of reparenting. + _setup_child_signal.call_deferred(p_node, helper) + + +func _setup_child_signal(p_node: Node, helper: TransformChangedNotifier) -> void: + if not p_node.is_inside_tree(): + return + if helper.transform_changed.is_connected(_on_child_transform_changed): + return + + helper.transform_changed.connect(_on_child_transform_changed.bind(p_node)) + _update_child_offset(p_node) + + +func _on_child_exiting_tree(p_node: Node) -> void: + if not (p_node is Node3D) or not p_node.has_node(CHILD_HELPER_PATH): + return + + var helper: TransformChangedNotifier = p_node.get_node_or_null(CHILD_HELPER_PATH) + if helper: + if helper.transform_changed.is_connected(_on_child_transform_changed): + helper.transform_changed.disconnect(_on_child_transform_changed) + p_node.remove_child(helper) + helper.queue_free() + + _offsets.erase(p_node.get_instance_id()) + + +func _is_node_selected(p_node: Node) -> bool: + var editor_sel = Engine.get_singleton(&"EditorInterface").get_selection() + return editor_sel.get_transformable_selected_nodes().has(p_node) + + +func _on_child_transform_changed(p_node: Node3D) -> void: + if _ignore_transform_change: + return + + var lmb_down := Input.is_mouse_button_pressed(MOUSE_BUTTON_LEFT) + if lmb_down and (_is_node_selected(p_node) or _is_node_selected(self)): + # The user may be moving the node using gizmos. + # We should wait until they're done before updating otherwise gizmos + this node conflict. + return + + if not _offsets.has(p_node.get_instance_id()): + return + + var old_offset: Vector3 = _offsets[p_node.get_instance_id()] + var old_h: float = _get_terrain_height(old_offset) + var old_position: Vector3 = old_offset + Vector3(0, old_h, 0) + var new_position: Vector3 = p_node.global_position + if old_position.is_equal_approx(new_position): + return + var new_h: float = _get_terrain_height(new_position) + var new_offset: Vector3 = new_position - Vector3(0, new_h, 0) + + var translate_without_reposition: bool = Input.is_key_pressed(KEY_SHIFT) + var y_changed: bool = not is_equal_approx(old_position.y, p_node.global_position.y) + if not y_changed and not translate_without_reposition: + new_offset.y = old_offset.y + new_position = new_offset + Vector3(0, new_h, 0) + + # Make sure that when the user undo's the translation, the offset change gets undone too! + _undo_redo.create_action("Translate", UndoRedo.MERGE_ALL) + _undo_redo.add_do_method(self, &"_set_offset_and_position", p_node.get_instance_id(), new_offset, new_position) + _undo_redo.add_undo_method(self, &"_set_offset_and_position", p_node.get_instance_id(), old_offset, old_position) + _undo_redo.commit_action() + + +func _set_offset_and_position(p_id: int, p_offset: Vector3, p_position: Vector3) -> void: + var node := instance_from_id(p_id) as Node + if not is_instance_valid(node): + return + + _ignore_transform_change = true + node.global_position = p_position + _offsets[p_id] = p_offset + _ignore_transform_change = false + + +# Overwrite current offset stored for node with its current Y position relative to the terrain +func _update_child_offset(p_node: Node3D) -> void: + var position: Vector3 = global_transform * p_node.position + var h: float = _get_terrain_height(position) + var offset: Vector3 = position - Vector3(0, h, 0) + _offsets[p_node.get_instance_id()] = offset + + +# Overwrite node's current position with terrain height + stored offset for this node +func _update_child_position(p_node: Node3D) -> void: + if not _offsets.has(p_node.get_instance_id()): + return + + var position: Vector3 = global_transform * p_node.position + var h: float = _get_terrain_height(position) + var offset: Vector3 = _offsets[p_node.get_instance_id()] + var new_position: Vector3 = global_transform.inverse() * (offset + Vector3(0, h, 0)) + if not p_node.position.is_equal_approx(new_position): + p_node.position = new_position + + +func _on_maps_edited(p_edited_aabb: AABB) -> void: + var edited_area: AABB = p_edited_aabb.grow(1) + edited_area.position.y = -INF + edited_area.end.y = INF + + for child in get_children(): + var node := child as Node3D + if node && edited_area.has_point(node.global_position): + _update_child_position(node) diff --git a/addons/terrain_3d/utils/terrain_3d_objects.gd.uid b/addons/terrain_3d/utils/terrain_3d_objects.gd.uid new file mode 100644 index 0000000..3a1e873 --- /dev/null +++ b/addons/terrain_3d/utils/terrain_3d_objects.gd.uid @@ -0,0 +1 @@ +uid://dbndw8p05yam7 diff --git a/addons/terrain_3d/utils/transform_changed_notifier.gd b/addons/terrain_3d/utils/transform_changed_notifier.gd new file mode 100644 index 0000000..5feaae8 --- /dev/null +++ b/addons/terrain_3d/utils/transform_changed_notifier.gd @@ -0,0 +1,16 @@ +# Copyright © 2025 Cory Petkovsek, Roope Palmroos, and Contributors. +# Transform Changed Notifier for Terrain3D +@tool +extends Node3D + +signal transform_changed + + +func _ready() -> void: + assert(Engine.is_editor_hint()) + set_notify_transform(true) + + +func _notification(what: int) -> void: + if what == NOTIFICATION_TRANSFORM_CHANGED: + transform_changed.emit() diff --git a/addons/terrain_3d/utils/transform_changed_notifier.gd.uid b/addons/terrain_3d/utils/transform_changed_notifier.gd.uid new file mode 100644 index 0000000..fc43825 --- /dev/null +++ b/addons/terrain_3d/utils/transform_changed_notifier.gd.uid @@ -0,0 +1 @@ +uid://claxtgppe8keq diff --git a/ai_act_float_text.gd b/ai_act_float_text.gd new file mode 100644 index 0000000..4333969 --- /dev/null +++ b/ai_act_float_text.gd @@ -0,0 +1,27 @@ +extends Node3D + +@onready var floating_text_component: FloatingComponent = %FloatingTextComponent +var current_displayed_text : String = "" + +func _ready() -> void: + floating_text_component.set_text( + "Seit dem ersten Star Wars Film hat sich die Erde ca. 50 mal um die Sonne gedreht und viel ist seitdem passiert. +Intelligente Roboter wie R2D2 und C3PO sind keine ferne Science Fiction mehr und Künstliche Intelligenz ist in unserem Alltag angekommen. \n +Die Europäische Union hat daher das weltweit erste Gesetz zur Regulierung von Künstlicher Intelligenz erlassen, den EU AI Act.\n +Dieses Spiel soll Ihnen helfen grundlegende Kenntnisse zu Künstlicher Intelligenz und den Regelungen des EU AI Acts zu erlernen. +Bitte beachten Sie, dass dieses Spiel nur als Einführung dienen kann, konkrete Fragen sind meist nicht allgemein zu beantworten und sollten von einer Fachperson eingeschätzt werden.") + floating_text_component.emit_spawn_text.emit() + await get_tree().create_timer(33.0).timeout + $start_btn.visible = true + + +func _on_area_3d_input_event(camera: Node, event: InputEvent, event_position: Vector3, normal: Vector3, shape_idx: int) -> void: + if event is InputEventMouseButton: + if event.button_index == MOUSE_BUTTON_LEFT: + get_tree().change_scene_to_file("res://ai_act_text.tscn") + + +func _on_start_btn_input_event(camera: Node, event: InputEvent, event_position: Vector3, normal: Vector3, shape_idx: int) -> void: + if event is InputEventMouseButton: + if event.button_index == MOUSE_BUTTON_LEFT: + get_tree().change_scene_to_file("res://star_animation.tscn") diff --git a/ai_act_float_text.gd.uid b/ai_act_float_text.gd.uid new file mode 100644 index 0000000..4d946ae --- /dev/null +++ b/ai_act_float_text.gd.uid @@ -0,0 +1 @@ +uid://c0l6vrhy7hoxk diff --git a/ai_act_float_text.tscn b/ai_act_float_text.tscn new file mode 100644 index 0000000..c5a2c0b --- /dev/null +++ b/ai_act_float_text.tscn @@ -0,0 +1,139 @@ +[gd_scene load_steps=10 format=3 uid="uid://blaeeamvkeir3"] + +[ext_resource type="Script" uid="uid://c0l6vrhy7hoxk" path="res://ai_act_float_text.gd" id="1_bs0kb"] +[ext_resource type="PackedScene" uid="uid://b3jo5jjblxhgo" path="res://floating_text_component.tscn" id="2_eo8hk"] +[ext_resource type="Texture2D" uid="uid://ckyoqiorxmaf6" path="res://assets/eu_star_high.png" id="3_bs0kb"] +[ext_resource type="AudioStream" uid="uid://uq73hn2pky4n" path="res://assets/Sounds/13 the end.ogg" id="4_eo8hk"] + +[sub_resource type="ViewportTexture" id="ViewportTexture_ayt76"] +viewport_path = NodePath("TextTilt/Sprite3D/FloatingTextComponent") + +[sub_resource type="Environment" id="Environment_7a8ye"] +background_mode = 1 +background_color = Color(0, 0.2, 0.6, 1) +ambient_light_source = 2 +ambient_light_color = Color(0.91, 0.91, 0.91, 1) +ambient_light_energy = 0.5 + +[sub_resource type="BoxMesh" id="BoxMesh_bs0kb"] +size = Vector3(2.6, 0.3, 0.01) + +[sub_resource type="BoxShape3D" id="BoxShape3D_bs0kb"] +size = Vector3(2.7, 0.4, 0.2) + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_bs0kb"] +albedo_color = Color(1, 0.8, 0, 1) + +[node name="FloatText" type="Node3D"] +script = ExtResource("1_bs0kb") + +[node name="TextTilt" type="Node3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 0.70710677, 0.70710677, 0, -0.70710677, 0.70710677, 0, 0, 0) + +[node name="Sprite3D" type="Sprite3D" parent="TextTilt"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1.2668288, -0.97105145) +texture = SubResource("ViewportTexture_ayt76") + +[node name="FloatingTextComponent" parent="TextTilt/Sprite3D" instance=ExtResource("2_eo8hk")] +unique_name_in_owner = true + +[node name="Stars" type="Node3D" parent="TextTilt"] + +[node name="Star1" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.5, 0, 0, 0, 0.5, 0, 0, 0, 0.5, 0.014087558, 2.811482, 0.36308765) +texture = ExtResource("3_bs0kb") + +[node name="Star2" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.5, 0, 0, 0, 0.5, 0, 0, 0, 0.5, 2.5668867, 3.9241724, -0.567309) +texture = ExtResource("3_bs0kb") + +[node name="Star3" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.3, 0, 0, 0, 0.3, 0, 0, 0, 0.3, -1.9829535, 3.72249, -0.28206515) +texture = ExtResource("3_bs0kb") + +[node name="Star4" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.3, 0, 0, 0, 0.3, 0, 0, 0, 0.3, -5.4958763, 1.0440459, -1.9189303) +texture = ExtResource("3_bs0kb") + +[node name="Star5" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.3, 0, 0, 0, 0.3, 0, 0, 0, 0.3, 3.8912954, 1.0073314, -0.86133623) +texture = ExtResource("3_bs0kb") + +[node name="Star6" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.2, 0, 0, 0, 0.20000002, 0, 0, 0, 0.20000002, -6.4124126, 3.7122054, -2.1770697) +texture = ExtResource("3_bs0kb") + +[node name="Star7" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.2, 0, 0, 0, 0.20000002, 0, 0, 0, 0.20000002, 3.7019072, 2.9323053, -1.1019888) +texture = ExtResource("3_bs0kb") + +[node name="Star8" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.2, 0, 0, 0, 0.20000002, 0, 0, 0, 0.20000002, -5.450109, 4.667203, -0.59794474) +texture = ExtResource("3_bs0kb") + +[node name="Star9" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.2, 0, 0, 0, 0.20000002, 0, 0, 0, 0.20000002, 4.926157, 3.8280687, -0.20951664) +texture = ExtResource("3_bs0kb") + +[node name="Star10" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.1, 0, 0, 0, 0.10000001, 0, 0, 0, 0.10000001, -6.318768, 2.6079586, -1.6434038) +texture = ExtResource("3_bs0kb") + +[node name="Star11" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.1, 0, 0, 0, 0.10000001, 0, 0, 0, 0.10000001, -4.1705937, 3.4257338, -1.3866584) +texture = ExtResource("3_bs0kb") + +[node name="Star12" type="Sprite3D" parent="TextTilt/Stars"] +transform = Transform3D(0.1, 0, 0, 0, 0.10000001, 0, 0, 0, 0.10000001, 2.380426, 2.6354766, -0.6303258) +texture = ExtResource("3_bs0kb") + +[node name="WorldEnvironment" type="WorldEnvironment" parent="."] +environment = SubResource("Environment_7a8ye") + +[node name="Camera3D" type="Camera3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2.7087352) + +[node name="Area3D" type="Area3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.9001503, 2.7476482, -2.4407291) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.02272749, 0.48799086, 0.53400016) +mesh = SubResource("BoxMesh_bs0kb") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.036060333, 0.52576923, 0.55220234) +shape = SubResource("BoxShape3D_bs0kb") + +[node name="start_btn" type="Area3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.117832184, -3.008531, -2.4407291) +visible = false + +[node name="MeshInstance3D" type="MeshInstance3D" parent="start_btn"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.02272749, 0.48799086, 0.53400016) +mesh = SubResource("BoxMesh_bs0kb") +surface_material_override/0 = SubResource("StandardMaterial3D_bs0kb") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="start_btn"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.036060333, 0.52576923, 0.55220234) +shape = SubResource("BoxShape3D_bs0kb") + +[node name="Label3D" type="Label3D" parent="start_btn"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.481889, 0.5644746) +modulate = Color(0, 0, 0, 1) +outline_modulate = Color(1, 1, 1, 1) +text = "Los geht's!" +font_size = 42 +outline_size = 3 + +[node name="Label3D" type="Label3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.846555, 3.2089822, -1.8559549) +text = "normalen Text anzeigen" +font_size = 42 + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("4_eo8hk") +volume_db = -5.0 +autoplay = true + +[connection signal="input_event" from="Area3D" to="." method="_on_area_3d_input_event"] +[connection signal="input_event" from="start_btn" to="." method="_on_start_btn_input_event"] diff --git a/ai_act_text.gd b/ai_act_text.gd new file mode 100644 index 0000000..5e87fee --- /dev/null +++ b/ai_act_text.gd @@ -0,0 +1,9 @@ +extends Control + + +func _on_button_pressed() -> void: + get_tree().change_scene_to_file("res://ai_act_float_text.tscn") + + +func _on_button_2_pressed() -> void: + get_tree().change_scene_to_file("res://star_animation.tscn") diff --git a/ai_act_text.gd.uid b/ai_act_text.gd.uid new file mode 100644 index 0000000..31ea680 --- /dev/null +++ b/ai_act_text.gd.uid @@ -0,0 +1 @@ +uid://vbi6iri04xbh diff --git a/ai_act_text.tscn b/ai_act_text.tscn new file mode 100644 index 0000000..d3c5b28 --- /dev/null +++ b/ai_act_text.tscn @@ -0,0 +1,64 @@ +[gd_scene load_steps=4 format=3 uid="uid://msxftb40b7ks"] + +[ext_resource type="Script" uid="uid://vbi6iri04xbh" path="res://ai_act_text.gd" id="1_fvpwc"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_cqqmm"] +bg_color = Color(0, 0.2, 0.6, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_fvpwc"] +bg_color = Color(1, 0.8, 0, 1) + +[node name="ai_act_text_static" type="Control"] +layout_mode = 3 +anchors_preset = 0 +offset_right = 40.0 +offset_bottom = 40.0 +script = ExtResource("1_fvpwc") + +[node name="Panel" type="Panel" parent="."] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1080.0 +mouse_behavior_recursive = 1 +theme_override_styles/panel = SubResource("StyleBoxFlat_cqqmm") + +[node name="Label" type="Label" parent="Panel"] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1080.0 +theme_override_colors/font_color = Color(1, 0.8, 0, 1) +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 3 +theme_override_font_sizes/font_size = 58 +text = "Seit dem ersten Star Wars Film hat sich die Erde +ca. 50 mal um die Sonne gedreht und viel ist passiert. +Intelligente Roboter wie R2D2 und C3PO sind keine ferne Science Fiction mehr und Künstliche Intelligenz ist in unserem Alltag angekommen. +Die Europäische Union hat daher das weltweit erste Gesetz zur Regulierung von Künstlicher Intelligenz erlassen, den EU AI Act. +Dieses Spiel soll Ihnen helfen grundlegende Kenntnisse zu Künstlicher Intelligenz und den Regelungen des EU AI Acts zu erlernen. +Bitte beachten Sie, dass dieses Spiel nur als Einführung dienen kann, konkrete Fragen sind meist nicht allgemein zu beantworten und sollten von einer Fachperson eingeschätzt werden." +autowrap_mode = 2 +clip_text = true + +[node name="Button" type="Button" parent="."] +layout_mode = 0 +offset_left = 1663.0 +offset_top = 13.0 +offset_right = 1908.0 +offset_bottom = 66.0 +theme_override_font_sizes/font_size = 32 +text = "Fliegenden Text +anzeigen" + +[node name="Button2" type="Button" parent="."] +layout_mode = 0 +offset_left = 1684.0 +offset_top = 999.0 +offset_right = 1907.0 +offset_bottom = 1052.0 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 32 +theme_override_styles/normal = SubResource("StyleBoxFlat_fvpwc") +text = "Fertig gelesen" + +[connection signal="pressed" from="Button" to="." method="_on_button_pressed"] +[connection signal="pressed" from="Button2" to="." method="_on_button_2_pressed"] diff --git a/animated_text.gd b/animated_text.gd new file mode 100644 index 0000000..82b2216 --- /dev/null +++ b/animated_text.gd @@ -0,0 +1,17 @@ +extends RichTextLabel + +var text_to_scroll = self.text + +func _ready() -> void: + scroll_text(text_to_scroll) + +func scroll_text(input_text: String) -> void: + visible_characters = 0 + var current_line = get_character_line(visible_characters) + text = input_text + + for i in get_parsed_text(): + visible_characters += 1 + if current_line != get_character_line(visible_characters): + current_line = get_character_line(visible_characters) + await get_tree().create_timer(1.0).timeout diff --git a/animated_text.gd.uid b/animated_text.gd.uid new file mode 100644 index 0000000..f9dd628 --- /dev/null +++ b/animated_text.gd.uid @@ -0,0 +1 @@ +uid://bpqup1f7y0w3b diff --git a/assets/Fonts/FrancoisOne-Regular.ttf b/assets/Fonts/FrancoisOne-Regular.ttf new file mode 100644 index 0000000..187bfe6 Binary files /dev/null and b/assets/Fonts/FrancoisOne-Regular.ttf differ diff --git a/assets/Fonts/FrancoisOne-Regular.ttf.import b/assets/Fonts/FrancoisOne-Regular.ttf.import new file mode 100644 index 0000000..662f977 --- /dev/null +++ b/assets/Fonts/FrancoisOne-Regular.ttf.import @@ -0,0 +1,36 @@ +[remap] + +importer="font_data_dynamic" +type="FontFile" +uid="uid://bejv1w0k1r7wi" +path="res://.godot/imported/FrancoisOne-Regular.ttf-dbfc636bda50a6fa5a232605f33c7a28.fontdata" + +[deps] + +source_file="res://assets/Fonts/FrancoisOne-Regular.ttf" +dest_files=["res://.godot/imported/FrancoisOne-Regular.ttf-dbfc636bda50a6fa5a232605f33c7a28.fontdata"] + +[params] + +Rendering=null +antialiasing=1 +generate_mipmaps=false +disable_embedded_bitmaps=true +multichannel_signed_distance_field=false +msdf_pixel_range=8 +msdf_size=48 +allow_system_fallback=true +force_autohinter=false +modulate_color_glyphs=false 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b/assets/Fonts/ZTNature-Black.ttf.import new file mode 100644 index 0000000..78d12df --- /dev/null +++ b/assets/Fonts/ZTNature-Black.ttf.import @@ -0,0 +1,36 @@ +[remap] + +importer="font_data_dynamic" +type="FontFile" +uid="uid://doeh0d6p25sfb" +path="res://.godot/imported/ZTNature-Black.ttf-4b26c19127e862be433ca7ec2f9d163d.fontdata" + +[deps] + +source_file="res://assets/Fonts/ZTNature-Black.ttf" +dest_files=["res://.godot/imported/ZTNature-Black.ttf-4b26c19127e862be433ca7ec2f9d163d.fontdata"] + +[params] + +Rendering=null +antialiasing=1 +generate_mipmaps=false +disable_embedded_bitmaps=true +multichannel_signed_distance_field=false +msdf_pixel_range=8 +msdf_size=48 +allow_system_fallback=true +force_autohinter=false +modulate_color_glyphs=false +hinting=1 +subpixel_positioning=4 +keep_rounding_remainders=true +oversampling=0.0 +Fallbacks=null +fallbacks=[] +Compress=null +compress=true +preload=[] +language_support={} +script_support={} +opentype_features={} diff --git a/assets/Fonts/ZTNature-Bold.ttf b/assets/Fonts/ZTNature-Bold.ttf new file mode 100644 index 0000000..6aa153b Binary files /dev/null and b/assets/Fonts/ZTNature-Bold.ttf differ diff --git a/assets/Fonts/ZTNature-Bold.ttf.import b/assets/Fonts/ZTNature-Bold.ttf.import new file mode 100644 index 0000000..99a46ea --- /dev/null +++ b/assets/Fonts/ZTNature-Bold.ttf.import @@ -0,0 +1,36 @@ +[remap] + +importer="font_data_dynamic" +type="FontFile" +uid="uid://bjog8i1nfrw2e" +path="res://.godot/imported/ZTNature-Bold.ttf-c9173ef747936ada9a854d95c6201d6a.fontdata" + +[deps] + +source_file="res://assets/Fonts/ZTNature-Bold.ttf" +dest_files=["res://.godot/imported/ZTNature-Bold.ttf-c9173ef747936ada9a854d95c6201d6a.fontdata"] + +[params] + +Rendering=null +antialiasing=1 +generate_mipmaps=false +disable_embedded_bitmaps=true +multichannel_signed_distance_field=false +msdf_pixel_range=8 +msdf_size=48 +allow_system_fallback=true +force_autohinter=false +modulate_color_glyphs=false +hinting=1 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Sounds/sfx_sound_refereewhistle.wav.import b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_refereewhistle.wav.import new file mode 100644 index 0000000..e16f7a3 --- /dev/null +++ b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_refereewhistle.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://ddv313ihctik8" +path="res://.godot/imported/sfx_sound_refereewhistle.wav-bf753720fd75462f921bc6904a4fb12e.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_refereewhistle.wav" +dest_files=["res://.godot/imported/sfx_sound_refereewhistle.wav-bf753720fd75462f921bc6904a4fb12e.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown1.wav b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown1.wav new file mode 100644 index 0000000..ffaf07f Binary files /dev/null and b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown1.wav differ diff --git a/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown1.wav.import b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown1.wav.import new file mode 100644 index 0000000..bc0fdc8 --- /dev/null +++ b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown1.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://vwsq4luq1jnv" +path="res://.godot/imported/sfx_sound_shutdown1.wav-0bba8ed0ed8e917d285d045dfc8f7b7a.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown1.wav" +dest_files=["res://.godot/imported/sfx_sound_shutdown1.wav-0bba8ed0ed8e917d285d045dfc8f7b7a.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown2.wav b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown2.wav new file mode 100644 index 0000000..3049e16 Binary files /dev/null and b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown2.wav differ diff --git a/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown2.wav.import b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown2.wav.import new file mode 100644 index 0000000..99cf7af --- /dev/null +++ b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown2.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://0kwxgjfudoye" +path="res://.godot/imported/sfx_sound_shutdown2.wav-fa56275b554ce92c11973d3733659dee.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_shutdown2.wav" +dest_files=["res://.godot/imported/sfx_sound_shutdown2.wav-fa56275b554ce92c11973d3733659dee.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_vaporizing.wav b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_vaporizing.wav new file mode 100644 index 0000000..e638519 Binary files /dev/null and b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_vaporizing.wav differ diff --git a/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_vaporizing.wav.import b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_vaporizing.wav.import new file mode 100644 index 0000000..b51f415 --- /dev/null +++ b/assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_vaporizing.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://b73f11qby5225" +path="res://.godot/imported/sfx_sound_vaporizing.wav-92756d68d80990a150d3549023a38dd9.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/General Sounds/Weird Sounds/sfx_sound_vaporizing.wav" +dest_files=["res://.godot/imported/sfx_sound_vaporizing.wav-92756d68d80990a150d3549023a38dd9.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/INFO.txt b/assets/Sounds/collection1/INFO.txt new file mode 100644 index 0000000..8eb698a --- /dev/null +++ b/assets/Sounds/collection1/INFO.txt @@ -0,0 +1,574 @@ + +This is The Essential Retro Video Game Sound Effects Collection [512 sounds] + + +Hi, I'm Juhani Junkala, the author of this collection. I'm a classically trained composer, producer and a sound designer with over 20 years of experience. + +These sound effects have been released under CC0 creative commons license. You can do anything you want with these sounds. + +All the sounds are at 44100hz 16bit mono .wav format and at -6db volume level. Change the individual volume of the sounds manually if necessary. + +If the filename has a "loop" in it then the sound loops seamlessly. + +Check out my game music portfolio: https://www.youtube.com/watch?v=dbACpSy9FWY + +If you need music or sound effects for your game, contact me: juhani.junkala@musician.org + + +Here is an inventory of all the sounds in this directory: + +\Death Screams\Alien\sfx_deathscream_alien1.wav +\Death Screams\Alien\sfx_deathscream_alien2.wav +\Death Screams\Alien\sfx_deathscream_alien3.wav +\Death Screams\Alien\sfx_deathscream_alien4.wav +\Death Screams\Alien\sfx_deathscream_alien5.wav +\Death Screams\Alien\sfx_deathscream_alien6.wav + +\Death Screams\Android\sfx_deathscream_android1.wav +\Death Screams\Android\sfx_deathscream_android2.wav +\Death Screams\Android\sfx_deathscream_android3.wav +\Death Screams\Android\sfx_deathscream_android4.wav +\Death Screams\Android\sfx_deathscream_android5.wav +\Death Screams\Android\sfx_deathscream_android6.wav +\Death Screams\Android\sfx_deathscream_android7.wav +\Death Screams\Android\sfx_deathscream_android8.wav + +\Death Screams\Human\sfx_deathscream_human1.wav +\Death Screams\Human\sfx_deathscream_human10.wav +\Death Screams\Human\sfx_deathscream_human11.wav +\Death Screams\Human\sfx_deathscream_human12.wav +\Death Screams\Human\sfx_deathscream_human13.wav +\Death Screams\Human\sfx_deathscream_human14.wav +\Death Screams\Human\sfx_deathscream_human2.wav +\Death Screams\Human\sfx_deathscream_human3.wav +\Death Screams\Human\sfx_deathscream_human4.wav +\Death Screams\Human\sfx_deathscream_human5.wav +\Death Screams\Human\sfx_deathscream_human6.wav +\Death Screams\Human\sfx_deathscream_human7.wav +\Death Screams\Human\sfx_deathscream_human8.wav +\Death Screams\Human\sfx_deathscream_human9.wav + +\Death Screams\Robot\sfx_deathscream_robot1.wav +\Death Screams\Robot\sfx_deathscream_robot2.wav +\Death Screams\Robot\sfx_deathscream_robot3.wav +\Death Screams\Robot\sfx_deathscream_robot4.wav + +\Explosions\Clusters\sfx_exp_cluster1.wav +\Explosions\Clusters\sfx_exp_cluster10.wav +\Explosions\Clusters\sfx_exp_cluster11.wav +\Explosions\Clusters\sfx_exp_cluster2.wav +\Explosions\Clusters\sfx_exp_cluster3.wav +\Explosions\Clusters\sfx_exp_cluster4.wav +\Explosions\Clusters\sfx_exp_cluster5.wav +\Explosions\Clusters\sfx_exp_cluster6.wav +\Explosions\Clusters\sfx_exp_cluster7.wav +\Explosions\Clusters\sfx_exp_cluster8.wav +\Explosions\Clusters\sfx_exp_cluster9.wav + +\Explosions\Double\sfx_exp_double1.wav +\Explosions\Double\sfx_exp_double2.wav +\Explosions\Double\sfx_exp_double3.wav + +\Explosions\Long\sfx_exp_long1.wav +\Explosions\Long\sfx_exp_long2.wav +\Explosions\Long\sfx_exp_long3.wav +\Explosions\Long\sfx_exp_long4.wav +\Explosions\Long\sfx_exp_long5.wav +\Explosions\Long\sfx_exp_long6.wav + +\Explosions\Medium Length\sfx_exp_medium1.wav +\Explosions\Medium Length\sfx_exp_medium10.wav +\Explosions\Medium Length\sfx_exp_medium11.wav +\Explosions\Medium Length\sfx_exp_medium12.wav +\Explosions\Medium Length\sfx_exp_medium13.wav +\Explosions\Medium Length\sfx_exp_medium2.wav +\Explosions\Medium Length\sfx_exp_medium3.wav +\Explosions\Medium Length\sfx_exp_medium4.wav +\Explosions\Medium Length\sfx_exp_medium5.wav +\Explosions\Medium Length\sfx_exp_medium6.wav +\Explosions\Medium Length\sfx_exp_medium7.wav +\Explosions\Medium Length\sfx_exp_medium8.wav +\Explosions\Medium Length\sfx_exp_medium9.wav + +\Explosions\Odd\sfx_exp_odd1.wav +\Explosions\Odd\sfx_exp_odd2.wav +\Explosions\Odd\sfx_exp_odd3.wav +\Explosions\Odd\sfx_exp_odd4.wav +\Explosions\Odd\sfx_exp_odd5.wav +\Explosions\Odd\sfx_exp_odd6.wav +\Explosions\Odd\sfx_exp_odd7.wav + +\Explosions\Short\sfx_exp_short_hard1.wav +\Explosions\Short\sfx_exp_short_hard10.wav +\Explosions\Short\sfx_exp_short_hard11.wav +\Explosions\Short\sfx_exp_short_hard12.wav +\Explosions\Short\sfx_exp_short_hard13.wav +\Explosions\Short\sfx_exp_short_hard14.wav +\Explosions\Short\sfx_exp_short_hard15.wav +\Explosions\Short\sfx_exp_short_hard16.wav +\Explosions\Short\sfx_exp_short_hard17.wav +\Explosions\Short\sfx_exp_short_hard2.wav +\Explosions\Short\sfx_exp_short_hard3.wav +\Explosions\Short\sfx_exp_short_hard4.wav +\Explosions\Short\sfx_exp_short_hard5.wav +\Explosions\Short\sfx_exp_short_hard6.wav +\Explosions\Short\sfx_exp_short_hard7.wav +\Explosions\Short\sfx_exp_short_hard8.wav +\Explosions\Short\sfx_exp_short_hard9.wav +\Explosions\Short\sfx_exp_short_soft1.wav +\Explosions\Short\sfx_exp_short_soft10.wav +\Explosions\Short\sfx_exp_short_soft11.wav +\Explosions\Short\sfx_exp_short_soft12.wav +\Explosions\Short\sfx_exp_short_soft2.wav +\Explosions\Short\sfx_exp_short_soft3.wav +\Explosions\Short\sfx_exp_short_soft4.wav +\Explosions\Short\sfx_exp_short_soft5.wav +\Explosions\Short\sfx_exp_short_soft6.wav +\Explosions\Short\sfx_exp_short_soft7.wav +\Explosions\Short\sfx_exp_short_soft8.wav +\Explosions\Short\sfx_exp_short_soft9.wav + +\Explosions\Shortest\sfx_exp_shortest_hard1.wav +\Explosions\Shortest\sfx_exp_shortest_hard10.wav +\Explosions\Shortest\sfx_exp_shortest_hard2.wav +\Explosions\Shortest\sfx_exp_shortest_hard3.wav +\Explosions\Shortest\sfx_exp_shortest_hard4.wav +\Explosions\Shortest\sfx_exp_shortest_hard5.wav +\Explosions\Shortest\sfx_exp_shortest_hard6.wav +\Explosions\Shortest\sfx_exp_shortest_hard7.wav +\Explosions\Shortest\sfx_exp_shortest_hard8.wav +\Explosions\Shortest\sfx_exp_shortest_hard9.wav +\Explosions\Shortest\sfx_exp_shortest_soft1.wav +\Explosions\Shortest\sfx_exp_shortest_soft2.wav +\Explosions\Shortest\sfx_exp_shortest_soft3.wav +\Explosions\Shortest\sfx_exp_shortest_soft4.wav +\Explosions\Shortest\sfx_exp_shortest_soft5.wav +\Explosions\Shortest\sfx_exp_shortest_soft6.wav +\Explosions\Shortest\sfx_exp_shortest_soft7.wav +\Explosions\Shortest\sfx_exp_shortest_soft8.wav +\Explosions\Shortest\sfx_exp_shortest_soft9.wav + +\Explosions\Various\sfx_exp_various1.wav +\Explosions\Various\sfx_exp_various2.wav +\Explosions\Various\sfx_exp_various3.wav +\Explosions\Various\sfx_exp_various4.wav +\Explosions\Various\sfx_exp_various5.wav +\Explosions\Various\sfx_exp_various6.wav +\Explosions\Various\sfx_exp_various7.wav + +\General Sounds\Alarms\Alarms\sfx_alarm_loop1.wav +\General Sounds\Alarms\Alarms\sfx_alarm_loop2.wav +\General Sounds\Alarms\Alarms\sfx_alarm_loop3.wav +\General Sounds\Alarms\Alarms\sfx_alarm_loop4.wav +\General Sounds\Alarms\Alarms\sfx_alarm_loop5.wav +\General Sounds\Alarms\Alarms\sfx_alarm_loop6.wav +\General Sounds\Alarms\Alarms\sfx_alarm_loop7.wav +\General Sounds\Alarms\Alarms\sfx_alarm_loop8.wav + +\General Sounds\Alarms\Low health Alarms\sfx_lowhealth_alarmloop1.wav +\General Sounds\Alarms\Low health Alarms\sfx_lowhealth_alarmloop2.wav +\General Sounds\Alarms\Low health Alarms\sfx_lowhealth_alarmloop3.wav +\General Sounds\Alarms\Low health Alarms\sfx_lowhealth_alarmloop4.wav +\General Sounds\Alarms\Low health Alarms\sfx_lowhealth_alarmloop5.wav +\General Sounds\Alarms\Low health Alarms\sfx_lowhealth_alarmloop6.wav +\General Sounds\Alarms\Low health Alarms\sfx_lowhealth_alarmloop7.wav + +\General Sounds\Buttons\sfx_sounds_button1.wav +\General Sounds\Buttons\sfx_sounds_button10.wav +\General Sounds\Buttons\sfx_sounds_button11.wav +\General Sounds\Buttons\sfx_sounds_button12.wav +\General Sounds\Buttons\sfx_sounds_button13.wav +\General Sounds\Buttons\sfx_sounds_button14.wav +\General Sounds\Buttons\sfx_sounds_button2.wav +\General Sounds\Buttons\sfx_sounds_button3.wav +\General Sounds\Buttons\sfx_sounds_button4.wav +\General Sounds\Buttons\sfx_sounds_button5.wav +\General Sounds\Buttons\sfx_sounds_button6.wav +\General Sounds\Buttons\sfx_sounds_button7.wav +\General Sounds\Buttons\sfx_sounds_button8.wav +\General Sounds\Buttons\sfx_sounds_button9.wav + +\General Sounds\Coins\sfx_coin_cluster1.wav +\General Sounds\Coins\sfx_coin_cluster2.wav +\General Sounds\Coins\sfx_coin_cluster3.wav +\General Sounds\Coins\sfx_coin_cluster4.wav +\General Sounds\Coins\sfx_coin_cluster5.wav +\General Sounds\Coins\sfx_coin_cluster6.wav +\General Sounds\Coins\sfx_coin_cluster7.wav +\General Sounds\Coins\sfx_coin_cluster8.wav +\General Sounds\Coins\sfx_coin_cluster9.wav +\General Sounds\Coins\sfx_coin_double1.wav +\General Sounds\Coins\sfx_coin_double2.wav +\General Sounds\Coins\sfx_coin_double3.wav +\General Sounds\Coins\sfx_coin_double4.wav +\General Sounds\Coins\sfx_coin_double5.wav +\General Sounds\Coins\sfx_coin_double6.wav +\General Sounds\Coins\sfx_coin_double7.wav +\General Sounds\Coins\sfx_coin_single1.wav +\General Sounds\Coins\sfx_coin_single2.wav +\General Sounds\Coins\sfx_coin_single3.wav +\General Sounds\Coins\sfx_coin_single4.wav +\General Sounds\Coins\sfx_coin_single5.wav +\General Sounds\Coins\sfx_coin_single6.wav + +\General Sounds\Fanfares\sfx_sounds_fanfare1.wav +\General Sounds\Fanfares\sfx_sounds_fanfare2.wav +\General Sounds\Fanfares\sfx_sounds_fanfare3.wav + +\General Sounds\High Pitched Sounds\sfx_sounds_high1.wav +\General Sounds\High Pitched Sounds\sfx_sounds_high2.wav +\General Sounds\High Pitched Sounds\sfx_sounds_high3.wav +\General Sounds\High Pitched Sounds\sfx_sounds_high4.wav +\General Sounds\High Pitched Sounds\sfx_sounds_high5.wav +\General Sounds\High Pitched Sounds\sfx_sounds_high6.wav +\General Sounds\High Pitched Sounds\sfx_sounds_high7.wav + +\General Sounds\Impacts\sfx_sounds_impact1.wav +\General Sounds\Impacts\sfx_sounds_impact10.wav +\General Sounds\Impacts\sfx_sounds_impact11.wav +\General Sounds\Impacts\sfx_sounds_impact12.wav +\General Sounds\Impacts\sfx_sounds_impact13.wav +\General Sounds\Impacts\sfx_sounds_impact14.wav +\General Sounds\Impacts\sfx_sounds_impact15.wav +\General Sounds\Impacts\sfx_sounds_impact2.wav +\General Sounds\Impacts\sfx_sounds_impact3.wav +\General Sounds\Impacts\sfx_sounds_impact4.wav +\General Sounds\Impacts\sfx_sounds_impact5.wav +\General Sounds\Impacts\sfx_sounds_impact6.wav +\General Sounds\Impacts\sfx_sounds_impact7.wav +\General Sounds\Impacts\sfx_sounds_impact8.wav +\General Sounds\Impacts\sfx_sounds_impact9.wav + +\General Sounds\Interactions\sfx_sounds_interaction1.wav +\General Sounds\Interactions\sfx_sounds_interaction10.wav +\General Sounds\Interactions\sfx_sounds_interaction11.wav +\General Sounds\Interactions\sfx_sounds_interaction12.wav +\General Sounds\Interactions\sfx_sounds_interaction13.wav +\General Sounds\Interactions\sfx_sounds_interaction14.wav +\General Sounds\Interactions\sfx_sounds_interaction15.wav +\General Sounds\Interactions\sfx_sounds_interaction16.wav +\General Sounds\Interactions\sfx_sounds_interaction17.wav +\General Sounds\Interactions\sfx_sounds_interaction18.wav +\General Sounds\Interactions\sfx_sounds_interaction19.wav +\General Sounds\Interactions\sfx_sounds_interaction2.wav +\General Sounds\Interactions\sfx_sounds_interaction20.wav +\General Sounds\Interactions\sfx_sounds_interaction21.wav +\General Sounds\Interactions\sfx_sounds_interaction22.wav +\General Sounds\Interactions\sfx_sounds_interaction23.wav +\General Sounds\Interactions\sfx_sounds_interaction24.wav +\General Sounds\Interactions\sfx_sounds_interaction25.wav +\General Sounds\Interactions\sfx_sounds_interaction26.wav +\General Sounds\Interactions\sfx_sounds_interaction3.wav +\General Sounds\Interactions\sfx_sounds_interaction4.wav +\General Sounds\Interactions\sfx_sounds_interaction5.wav +\General Sounds\Interactions\sfx_sounds_interaction6.wav +\General Sounds\Interactions\sfx_sounds_interaction7.wav +\General Sounds\Interactions\sfx_sounds_interaction8.wav +\General Sounds\Interactions\sfx_sounds_interaction9.wav + +\General Sounds\Menu Sounds\sfx_menu_move1.wav +\General Sounds\Menu Sounds\sfx_menu_move2.wav +\General Sounds\Menu Sounds\sfx_menu_move3.wav +\General Sounds\Menu Sounds\sfx_menu_move4.wav +\General Sounds\Menu Sounds\sfx_menu_move5.wav +\General Sounds\Menu Sounds\sfx_menu_select1.wav +\General Sounds\Menu Sounds\sfx_menu_select2.wav +\General Sounds\Menu Sounds\sfx_menu_select3.wav +\General Sounds\Menu Sounds\sfx_menu_select4.wav +\General Sounds\Menu Sounds\sfx_menu_select5.wav + +\General Sounds\Negative Sounds\sfx_sounds_damage1.wav +\General Sounds\Negative Sounds\sfx_sounds_damage2.wav +\General Sounds\Negative Sounds\sfx_sounds_damage3.wav +\General Sounds\Negative Sounds\sfx_sounds_error1.wav +\General Sounds\Negative Sounds\sfx_sounds_error10.wav +\General Sounds\Negative Sounds\sfx_sounds_error11.wav +\General Sounds\Negative Sounds\sfx_sounds_error12.wav +\General Sounds\Negative Sounds\sfx_sounds_error13.wav +\General Sounds\Negative Sounds\sfx_sounds_error14.wav +\General Sounds\Negative Sounds\sfx_sounds_error15.wav +\General Sounds\Negative Sounds\sfx_sounds_error2.wav +\General Sounds\Negative Sounds\sfx_sounds_error3.wav +\General Sounds\Negative Sounds\sfx_sounds_error4.wav +\General Sounds\Negative Sounds\sfx_sounds_error5.wav +\General Sounds\Negative Sounds\sfx_sounds_error6.wav +\General Sounds\Negative Sounds\sfx_sounds_error7.wav +\General Sounds\Negative Sounds\sfx_sounds_error8.wav +\General Sounds\Negative Sounds\sfx_sounds_error9.wav +\General Sounds\Negative Sounds\sfx_sounds_negative1.wav +\General Sounds\Negative Sounds\sfx_sounds_negative2.wav + +\General Sounds\Neutral Sounds\sfx_sound_neutral1.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral10.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral11.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral2.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral3.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral4.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral5.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral6.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral7.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral8.wav +\General Sounds\Neutral Sounds\sfx_sound_neutral9.wav + +\General Sounds\Pause Sounds\sfx_sounds_pause1_in.wav +\General Sounds\Pause Sounds\sfx_sounds_pause1_out.wav +\General Sounds\Pause Sounds\sfx_sounds_pause2_in.wav +\General Sounds\Pause Sounds\sfx_sounds_pause2_out.wav +\General Sounds\Pause Sounds\sfx_sounds_pause3_in.wav +\General Sounds\Pause Sounds\sfx_sounds_pause3_out.wav +\General Sounds\Pause Sounds\sfx_sounds_pause4_in.wav +\General Sounds\Pause Sounds\sfx_sounds_pause4_out.wav +\General Sounds\Pause Sounds\sfx_sounds_pause5_in.wav +\General Sounds\Pause Sounds\sfx_sounds_pause5_out.wav +\General Sounds\Pause Sounds\sfx_sounds_pause6_in.wav +\General Sounds\Pause Sounds\sfx_sounds_pause6_out.wav +\General Sounds\Pause Sounds\sfx_sounds_pause7_in.wav +\General Sounds\Pause Sounds\sfx_sounds_pause7_out.wav + +\General Sounds\Positive Sounds\sfx_sounds_powerup1.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup10.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup11.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup12.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup13.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup14.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup15.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup16.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup17.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup18.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup2.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup3.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup4.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup5.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup6.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup7.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup8.wav +\General Sounds\Positive Sounds\sfx_sounds_powerup9.wav + +\General Sounds\Simple Bleeps\sfx_sounds_Blip1.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip10.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip11.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip2.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip3.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip4.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip5.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip6.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip7.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip8.wav +\General Sounds\Simple Bleeps\sfx_sounds_Blip9.wav + +\General Sounds\Simple Damage Sounds\sfx_damage_hit1.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit10.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit2.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit3.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit4.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit5.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit6.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit7.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit8.wav +\General Sounds\Simple Damage Sounds\sfx_damage_hit9.wav + +\General Sounds\Weird Sounds\sfx_sound_bling.wav +\General Sounds\Weird Sounds\sfx_sound_depressurizing.wav +\General Sounds\Weird Sounds\sfx_sound_mechanicalnoise1.wav +\General Sounds\Weird Sounds\sfx_sound_mechanicalnoise2.wav +\General Sounds\Weird Sounds\sfx_sound_mechanicalnoise3.wav +\General Sounds\Weird Sounds\sfx_sound_mechanicalnoise4.wav +\General Sounds\Weird Sounds\sfx_sound_mechanicalnoise5.wav +\General Sounds\Weird Sounds\sfx_sound_mechanicalnoise6.wav +\General Sounds\Weird Sounds\sfx_sound_nagger1.wav +\General Sounds\Weird Sounds\sfx_sound_nagger2.wav +\General Sounds\Weird Sounds\sfx_sound_noise.wav +\General Sounds\Weird Sounds\sfx_sound_poweron.wav +\General Sounds\Weird Sounds\sfx_sound_refereewhistle.wav +\General Sounds\Weird Sounds\sfx_sound_shutdown1.wav +\General Sounds\Weird Sounds\sfx_sound_shutdown2.wav +\General Sounds\Weird Sounds\sfx_sound_vaporizing.wav + +\Movement\Climbing Ladder\sfx_movement_ladder1a.wav +\Movement\Climbing Ladder\sfx_movement_ladder1b.wav +\Movement\Climbing Ladder\sfx_movement_ladder1loop.wav +\Movement\Climbing Ladder\sfx_movement_ladder2a.wav +\Movement\Climbing Ladder\sfx_movement_ladder2b.wav +\Movement\Climbing Ladder\sfx_movement_ladder2loop.wav +\Movement\Climbing Ladder\sfx_movement_ladder3a.wav +\Movement\Climbing Ladder\sfx_movement_ladder3b.wav +\Movement\Climbing Ladder\sfx_movement_ladder3loop.wav +\Movement\Climbing Ladder\sfx_movement_ladder4a.wav +\Movement\Climbing Ladder\sfx_movement_ladder4b.wav +\Movement\Climbing Ladder\sfx_movement_ladder4loop.wav +\Movement\Climbing Ladder\sfx_movement_ladder5a.wav +\Movement\Climbing Ladder\sfx_movement_ladder5b.wav +\Movement\Climbing Ladder\sfx_movement_ladder5loop.wav +\Movement\Climbing Ladder\sfx_movement_ladder6a.wav +\Movement\Climbing Ladder\sfx_movement_ladder6b.wav +\Movement\Climbing Ladder\sfx_movement_ladder6loop.wav + +\Movement\Climbing Stairs\sfx_movement_stairs1a.wav +\Movement\Climbing Stairs\sfx_movement_stairs1b.wav +\Movement\Climbing Stairs\sfx_movement_stairs1loop.wav +\Movement\Climbing Stairs\sfx_movement_stairs2a.wav +\Movement\Climbing Stairs\sfx_movement_stairs2b.wav +\Movement\Climbing Stairs\sfx_movement_stairs2loop.wav +\Movement\Climbing Stairs\sfx_movement_stairs3a.wav +\Movement\Climbing Stairs\sfx_movement_stairs3b.wav +\Movement\Climbing Stairs\sfx_movement_stairs3loop.wav +\Movement\Climbing Stairs\sfx_movement_stairs4a.wav +\Movement\Climbing Stairs\sfx_movement_stairs4b.wav +\Movement\Climbing Stairs\sfx_movement_stairs4loop.wav +\Movement\Climbing Stairs\sfx_movement_stairs5a.wav +\Movement\Climbing Stairs\sfx_movement_stairs5b.wav +\Movement\Climbing Stairs\sfx_movement_stairs5loop.wav +\Movement\Climbing Stairs\sfx_movement_stairs6a.wav +\Movement\Climbing Stairs\sfx_movement_stairs6b.wav +\Movement\Climbing Stairs\sfx_movement_stairs6loop.wav + +\Movement\Falling Sounds\sfx_sounds_falling1.wav +\Movement\Falling Sounds\sfx_sounds_falling10.wav +\Movement\Falling Sounds\sfx_sounds_falling11.wav +\Movement\Falling Sounds\sfx_sounds_falling12.wav +\Movement\Falling Sounds\sfx_sounds_falling2.wav +\Movement\Falling Sounds\sfx_sounds_falling3.wav +\Movement\Falling Sounds\sfx_sounds_falling4.wav +\Movement\Falling Sounds\sfx_sounds_falling5.wav +\Movement\Falling Sounds\sfx_sounds_falling6.wav +\Movement\Falling Sounds\sfx_sounds_falling7.wav +\Movement\Falling Sounds\sfx_sounds_falling8.wav +\Movement\Falling Sounds\sfx_sounds_falling9.wav + +\Movement\Footsteps\sfx_movement_footsteps1a.wav +\Movement\Footsteps\sfx_movement_footsteps1b.wav +\Movement\Footsteps\sfx_movement_footsteps5.wav +\Movement\Footsteps\sfx_movement_footstepsloop3_fast.wav +\Movement\Footsteps\sfx_movement_footstepsloop3_slow.wav +\Movement\Footsteps\sfx_movement_footstepsloop4_fast.wav +\Movement\Footsteps\sfx_movement_footstepsloop4_slow.wav + +\Movement\Jumping and Landing\sfx_movement_jump1.wav +\Movement\Jumping and Landing\sfx_movement_jump10.wav +\Movement\Jumping and Landing\sfx_movement_jump10_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump11.wav +\Movement\Jumping and Landing\sfx_movement_jump11_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump12.wav +\Movement\Jumping and Landing\sfx_movement_jump12_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump13.wav +\Movement\Jumping and Landing\sfx_movement_jump13_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump14.wav +\Movement\Jumping and Landing\sfx_movement_jump14_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump15.wav +\Movement\Jumping and Landing\sfx_movement_jump15_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump16.wav +\Movement\Jumping and Landing\sfx_movement_jump16_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump17.wav +\Movement\Jumping and Landing\sfx_movement_jump17_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump18.wav +\Movement\Jumping and Landing\sfx_movement_jump18_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump19.wav +\Movement\Jumping and Landing\sfx_movement_jump19_landing.wav +\Movement\Jumping and Landing\sfx_movement_jump2.wav +\Movement\Jumping and Landing\sfx_movement_jump20.wav +\Movement\Jumping and Landing\sfx_movement_jump3.wav +\Movement\Jumping and Landing\sfx_movement_jump4.wav +\Movement\Jumping and Landing\sfx_movement_jump5.wav +\Movement\Jumping and Landing\sfx_movement_jump6.wav +\Movement\Jumping and Landing\sfx_movement_jump7.wav +\Movement\Jumping and Landing\sfx_movement_jump8.wav +\Movement\Jumping and Landing\sfx_movement_jump9.wav +\Movement\Jumping and Landing\sfx_movement_jump9_landing.wav + +\Movement\Opening Doors\sfx_movement_dooropen1.wav +\Movement\Opening Doors\sfx_movement_dooropen2.wav +\Movement\Opening Doors\sfx_movement_dooropen3.wav +\Movement\Opening Doors\sfx_movement_dooropen4.wav + +\Movement\Portals and Transitions\sfx_movement_portal1.wav +\Movement\Portals and Transitions\sfx_movement_portal2.wav +\Movement\Portals and Transitions\sfx_movement_portal3.wav +\Movement\Portals and Transitions\sfx_movement_portal4.wav +\Movement\Portals and Transitions\sfx_movement_portal5.wav +\Movement\Portals and Transitions\sfx_movement_portal6.wav + +\Movement\Vehicles\sfx_vehicle_breaks.wav +\Movement\Vehicles\sfx_vehicle_carloop1.wav +\Movement\Vehicles\sfx_vehicle_carloop2.wav +\Movement\Vehicles\sfx_vehicle_engineloop.wav +\Movement\Vehicles\sfx_vehicle_helicopterloop1.wav +\Movement\Vehicles\sfx_vehicle_helicopterloop2.wav +\Movement\Vehicles\sfx_vehicle_helicopterloop3.wav +\Movement\Vehicles\sfx_vehicle_helicopterloop4.wav +\Movement\Vehicles\sfx_vehicle_plainloop.wav + +\Weapons\Cannon\sfx_wpn_cannon1.wav +\Weapons\Cannon\sfx_wpn_cannon2.wav +\Weapons\Cannon\sfx_wpn_cannon3.wav +\Weapons\Cannon\sfx_wpn_cannon4.wav +\Weapons\Cannon\sfx_wpn_cannon5.wav +\Weapons\Cannon\sfx_wpn_cannon6.wav + +\Weapons\Grenade Whistles\sfx_wpn_grenadewhistle1.wav +\Weapons\Grenade Whistles\sfx_wpn_grenadewhistle2.wav +\Weapons\Grenade Whistles\sfx_wpn_missilelaunch.wav + +\Weapons\Lasers\sfx_wpn_laser 10.wav +\Weapons\Lasers\sfx_wpn_laser1.wav +\Weapons\Lasers\sfx_wpn_laser10.wav +\Weapons\Lasers\sfx_wpn_laser11.wav +\Weapons\Lasers\sfx_wpn_laser12.wav +\Weapons\Lasers\sfx_wpn_laser2.wav +\Weapons\Lasers\sfx_wpn_laser3.wav +\Weapons\Lasers\sfx_wpn_laser4.wav +\Weapons\Lasers\sfx_wpn_laser5.wav +\Weapons\Lasers\sfx_wpn_laser6.wav +\Weapons\Lasers\sfx_wpn_laser7.wav +\Weapons\Lasers\sfx_wpn_laser8.wav +\Weapons\Lasers\sfx_wpn_laser9.wav + +\Weapons\Machinegun\sfx_wpn_machinegun_loop1.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop2.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop3.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop4.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop5.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop6.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop7.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop8.wav +\Weapons\Machinegun\sfx_wpn_machinegun_loop9.wav + +\Weapons\Melee\sfx_wpn_dagger.wav +\Weapons\Melee\sfx_wpn_punch1.wav +\Weapons\Melee\sfx_wpn_punch2.wav +\Weapons\Melee\sfx_wpn_punch3.wav +\Weapons\Melee\sfx_wpn_punch4.wav +\Weapons\Melee\sfx_wpn_sword1.wav +\Weapons\Melee\sfx_wpn_sword2.wav +\Weapons\Melee\sfx_wpn_sword3.wav + +\Weapons\Out of Ammo\sfx_wpn_noammo1.wav +\Weapons\Out of Ammo\sfx_wpn_noammo2.wav +\Weapons\Out of Ammo\sfx_wpn_noammo3.wav +\Weapons\Out of Ammo\sfx_wpn_reload.wav + +\Weapons\Shotgun\sfx_weapon_shotgun1.wav +\Weapons\Shotgun\sfx_weapon_shotgun2.wav +\Weapons\Shotgun\sfx_weapon_shotgun3.wav + +\Weapons\Single Shot Sounds\sfx_weapon_singleshot1.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot10.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot11.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot12.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot13.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot14.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot15.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot16.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot17.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot18.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot19.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot2.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot20.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot21.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot22.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot3.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot4.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot5.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot6.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot7.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot8.wav +\Weapons\Single Shot Sounds\sfx_weapon_singleshot9.wav diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1a.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1a.wav new file mode 100644 index 0000000..f2b1f91 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1a.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1a.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1a.wav.import new file mode 100644 index 0000000..ff428a9 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1a.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://4a2aqpx143wi" +path="res://.godot/imported/sfx_movement_ladder1a.wav-2fd9130d51fe9fce0dbd5259da6ce5e0.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1a.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder1a.wav-2fd9130d51fe9fce0dbd5259da6ce5e0.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1b.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1b.wav new file mode 100644 index 0000000..534540b Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1b.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1b.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1b.wav.import new file mode 100644 index 0000000..575ef38 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1b.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://pwqg7lm6fbne" +path="res://.godot/imported/sfx_movement_ladder1b.wav-ca991f2a082bcf72e0e0ccf1893f6928.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1b.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder1b.wav-ca991f2a082bcf72e0e0ccf1893f6928.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1loop.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1loop.wav new file mode 100644 index 0000000..7fb9a19 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1loop.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1loop.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1loop.wav.import new file mode 100644 index 0000000..6406d69 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1loop.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://c5l6tddimmmr8" +path="res://.godot/imported/sfx_movement_ladder1loop.wav-6486e468cbe1427632bd30e0c4f8276c.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder1loop.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder1loop.wav-6486e468cbe1427632bd30e0c4f8276c.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2a.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2a.wav new file mode 100644 index 0000000..27c6bd9 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2a.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2a.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2a.wav.import new file mode 100644 index 0000000..59d409b --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2a.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://02kyijdbau1r" +path="res://.godot/imported/sfx_movement_ladder2a.wav-876d4c8c78cea721a493e14ea9b760ef.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2a.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder2a.wav-876d4c8c78cea721a493e14ea9b760ef.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2b.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2b.wav new file mode 100644 index 0000000..f2ee9c2 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2b.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2b.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2b.wav.import new file mode 100644 index 0000000..d548afd --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2b.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://bqtirufpioavh" +path="res://.godot/imported/sfx_movement_ladder2b.wav-5c3969e3cbea27e8c681064391a680b4.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2b.wav" 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+1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://dr3msmysw85w" +path="res://.godot/imported/sfx_movement_ladder2loop.wav-6969ffcefd939c7cb5459fde7db863d0.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder2loop.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder2loop.wav-6969ffcefd939c7cb5459fde7db863d0.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3a.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3a.wav new file mode 100644 index 0000000..e0dcc23 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3a.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing 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b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3b.wav new file mode 100644 index 0000000..fefbd01 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3b.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3b.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3b.wav.import new file mode 100644 index 0000000..5c7a1cd --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3b.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://crr4sllgs3e7a" +path="res://.godot/imported/sfx_movement_ladder3b.wav-18c07ccadf793173c569ecfbe34e343a.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3b.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder3b.wav-18c07ccadf793173c569ecfbe34e343a.sample"] + +[params] + 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+path="res://.godot/imported/sfx_movement_ladder3loop.wav-8dcf174faf41f501208c2cfb61ff0f44.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder3loop.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder3loop.wav-8dcf174faf41f501208c2cfb61ff0f44.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4a.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4a.wav new file mode 100644 index 0000000..683de8c Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4a.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4a.wav.import b/assets/Sounds/collection1/Movement/Climbing 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0000000..48dafdc Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4b.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4b.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4b.wav.import new file mode 100644 index 0000000..f19997c --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4b.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://b730kj67fvdd2" +path="res://.godot/imported/sfx_movement_ladder4b.wav-137300b93efce8598f6be086bf869358.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4b.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder4b.wav-137300b93efce8598f6be086bf869358.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4loop.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4loop.wav new file mode 100644 index 0000000..a2772da Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4loop.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4loop.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4loop.wav.import new file mode 100644 index 0000000..7584627 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder4loop.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://belkfflg2mgvu" +path="res://.godot/imported/sfx_movement_ladder4loop.wav-4e02ad43433a03934541cfe9f7093bd0.sample" + +[deps] + 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b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5a.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://cv6uxuwrvlqql" +path="res://.godot/imported/sfx_movement_ladder5a.wav-01ef8380786fe17505d4d472e6356509.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5a.wav" +dest_files=["res://.godot/imported/sfx_movement_ladder5a.wav-01ef8380786fe17505d4d472e6356509.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5b.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5b.wav new file mode 100644 index 0000000..2540d1d Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing 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a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5loop.wav b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5loop.wav new file mode 100644 index 0000000..63f1752 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5loop.wav differ diff --git a/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5loop.wav.import b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5loop.wav.import new file mode 100644 index 0000000..3b69eb7 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5loop.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://4y3fjfbb1cu7" +path="res://.godot/imported/sfx_movement_ladder5loop.wav-d7b2e06a4089024278d1a10fcfa160b2.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Climbing Ladder/sfx_movement_ladder5loop.wav" 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/dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://bcggy553n0dfa" +path="res://.godot/imported/sfx_movement_jump13.wav-3841398f1ee681dc58f1697437c91430.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13.wav" +dest_files=["res://.godot/imported/sfx_movement_jump13.wav-3841398f1ee681dc58f1697437c91430.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13_landing.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13_landing.wav new file mode 100644 index 0000000..64144d3 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13_landing.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13_landing.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13_landing.wav.import new file mode 100644 index 0000000..e416793 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13_landing.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://b12yjquhvd1bi" +path="res://.godot/imported/sfx_movement_jump13_landing.wav-1a4791a872f2fcfd21ace294c4b2e928.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump13_landing.wav" +dest_files=["res://.godot/imported/sfx_movement_jump13_landing.wav-1a4791a872f2fcfd21ace294c4b2e928.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14.wav new file mode 100644 index 0000000..bfd4ac9 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14.wav.import new file mode 100644 index 0000000..4f42c81 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://b6bko1yg5kmfa" +path="res://.godot/imported/sfx_movement_jump14.wav-9b905747539189a7367a3895126da0ed.sample" + +[deps] + 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0000000..de9bab8 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14_landing.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://cxftvqhqnhqic" +path="res://.godot/imported/sfx_movement_jump14_landing.wav-3b76fca52ba36638fe40561814946084.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump14_landing.wav" +dest_files=["res://.godot/imported/sfx_movement_jump14_landing.wav-3b76fca52ba36638fe40561814946084.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15.wav new file mode 100644 index 0000000..6f75008 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15.wav.import new file mode 100644 index 0000000..3f877c3 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://bmp8jrjbhjwyv" +path="res://.godot/imported/sfx_movement_jump15.wav-36529f7e821f43eac048b9cee88fdd97.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15.wav" +dest_files=["res://.godot/imported/sfx_movement_jump15.wav-36529f7e821f43eac048b9cee88fdd97.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15_landing.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15_landing.wav new file mode 100644 index 0000000..43f9c41 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15_landing.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15_landing.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15_landing.wav.import new file mode 100644 index 0000000..2f79082 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump15_landing.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://b02ln4rpnyrua" +path="res://.godot/imported/sfx_movement_jump15_landing.wav-386fd256db1fa624ea51d47007236bcb.sample" + +[deps] + 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/dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://dcte6xrtd1uha" +path="res://.godot/imported/sfx_movement_jump16.wav-407ee251e59e4a2f76c455c7bd0c952b.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16.wav" +dest_files=["res://.godot/imported/sfx_movement_jump16.wav-407ee251e59e4a2f76c455c7bd0c952b.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16_landing.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16_landing.wav new file mode 100644 index 0000000..194e177 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16_landing.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16_landing.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16_landing.wav.import new file mode 100644 index 0000000..a760085 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16_landing.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://n7nkys7wxj10" +path="res://.godot/imported/sfx_movement_jump16_landing.wav-ee724f1c170e5a44121b2a64cd7b301c.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump16_landing.wav" +dest_files=["res://.godot/imported/sfx_movement_jump16_landing.wav-ee724f1c170e5a44121b2a64cd7b301c.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17.wav new file mode 100644 index 0000000..6ab3e5c Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17.wav.import new file mode 100644 index 0000000..b503485 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://d0538hf27jem3" +path="res://.godot/imported/sfx_movement_jump17.wav-ca21531d8a577c44372c37dde6584aeb.sample" + +[deps] + 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0000000..65e57ed --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17_landing.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://cvtxtulnxho68" +path="res://.godot/imported/sfx_movement_jump17_landing.wav-3cb899b92f1ceded756b2b5b5e9d3fd4.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump17_landing.wav" +dest_files=["res://.godot/imported/sfx_movement_jump17_landing.wav-3cb899b92f1ceded756b2b5b5e9d3fd4.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18.wav new file mode 100644 index 0000000..fabe093 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18.wav.import new file mode 100644 index 0000000..917fd99 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://dfmfins765lbr" +path="res://.godot/imported/sfx_movement_jump18.wav-cd98bdb1696ee670759cf075b7e81c93.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18.wav" +dest_files=["res://.godot/imported/sfx_movement_jump18.wav-cd98bdb1696ee670759cf075b7e81c93.sample"] + +[params] + +force/8_bit=false +force/mono=false +force/max_rate=false +force/max_rate_hz=44100 +edit/trim=false +edit/normalize=false +edit/loop_mode=0 +edit/loop_begin=0 +edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18_landing.wav b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18_landing.wav new file mode 100644 index 0000000..34cc2b3 Binary files /dev/null and b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18_landing.wav differ diff --git a/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18_landing.wav.import b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18_landing.wav.import new file mode 100644 index 0000000..0d44b02 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Jumping and Landing/sfx_movement_jump18_landing.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://cylwyl7uln6gb" +path="res://.godot/imported/sfx_movement_jump18_landing.wav-5ce15f6938502bb1993e1f0aede2c9e0.sample" + +[deps] + 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+edit/loop_end=-1 +compress/mode=2 diff --git a/assets/Sounds/collection1/Movement/Vehicles/sfx_vehicle_engineloop.wav b/assets/Sounds/collection1/Movement/Vehicles/sfx_vehicle_engineloop.wav new file mode 100644 index 0000000..3fc619a Binary files /dev/null and b/assets/Sounds/collection1/Movement/Vehicles/sfx_vehicle_engineloop.wav differ diff --git a/assets/Sounds/collection1/Movement/Vehicles/sfx_vehicle_engineloop.wav.import b/assets/Sounds/collection1/Movement/Vehicles/sfx_vehicle_engineloop.wav.import new file mode 100644 index 0000000..76d2137 --- /dev/null +++ b/assets/Sounds/collection1/Movement/Vehicles/sfx_vehicle_engineloop.wav.import @@ -0,0 +1,24 @@ +[remap] + +importer="wav" +type="AudioStreamWAV" +uid="uid://qmkh67m3c4e6" +path="res://.godot/imported/sfx_vehicle_engineloop.wav-c9bd1aa3e3d71732605b9ca6b66c6d47.sample" + +[deps] + +source_file="res://assets/Sounds/collection1/Movement/Vehicles/sfx_vehicle_engineloop.wav" 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change_scene(path: String) -> void: + anim.play("fade_out") + await anim.animation_finished + get_tree().change_scene_to_file(path) + await get_tree().process_frame + anim.play("fade_in") + await anim.animation_finished diff --git a/canvas_layer.gd.uid b/canvas_layer.gd.uid new file mode 100644 index 0000000..8c499bb --- /dev/null +++ b/canvas_layer.gd.uid @@ -0,0 +1 @@ +uid://bq380qeip5kcy diff --git a/canvas_layer.tscn b/canvas_layer.tscn new file mode 100644 index 0000000..5e3f5e2 --- /dev/null +++ b/canvas_layer.tscn @@ -0,0 +1,72 @@ +[gd_scene load_steps=6 format=3 uid="uid://b60ibdj1n6l8y"] + +[ext_resource type="Script" uid="uid://bq380qeip5kcy" path="res://canvas_layer.gd" id="1_v2lfg"] + +[sub_resource type="Animation" id="Animation_v2lfg"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("ColorRect:color") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Color(0, 0, 0, 0)] +} + +[sub_resource type="Animation" id="Animation_wf015"] +resource_name = "fade_in" +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("ColorRect:color") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Color(0, 0, 0, 1), Color(0, 0, 0, 0)] +} + +[sub_resource type="Animation" id="Animation_tg4cr"] +resource_name = "fade_in1" +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("ColorRect:color") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Color(0, 0, 0, 0), Color(0, 0, 0, 1)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_tg4cr"] +_data = { +&"RESET": SubResource("Animation_v2lfg"), +&"fade_in": SubResource("Animation_wf015"), +&"fade_out": SubResource("Animation_tg4cr") +} + +[node name="CanvasLayer" type="CanvasLayer"] +script = ExtResource("1_v2lfg") + +[node name="ColorRect" type="ColorRect" parent="."] +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +mouse_filter = 2 +color = Color(0, 0, 0, 0) + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_tg4cr") +} diff --git a/check_collision_npc.tscn b/check_collision_npc.tscn new file mode 100644 index 0000000..fa04760 --- /dev/null +++ b/check_collision_npc.tscn @@ -0,0 +1,5 @@ +[gd_scene format=3 uid="uid://bhihpqj7er21q"] + +[node name="RayCast3D" type="RayCast3D"] +target_position = Vector3(0, 0, 0.6) +collision_mask = 8 diff --git a/check_collision_wall.tscn b/check_collision_wall.tscn new file mode 100644 index 0000000..45a3874 --- /dev/null +++ b/check_collision_wall.tscn @@ -0,0 +1,5 @@ +[gd_scene format=3 uid="uid://ctx8osel3k43n"] + +[node name="RayCast3D" type="RayCast3D"] +target_position = Vector3(0, 0, 0.8) +collision_mask = 2 diff --git a/congratulations.gd b/congratulations.gd new file mode 100644 index 0000000..ed4bebd --- /dev/null +++ b/congratulations.gd @@ -0,0 +1,45 @@ +extends Control + +var congrats_text_bottom = "Sie haben alle Aufgaben erfolgreich gemeistert und konnten zur Erde zurück kehren. \n Wir hoffen Sie konnten etwas über KI und den EU AI Act lernen." +var jumped_back = false + +func _ready() -> void: + var congrats_text = "Herzlichen Glückwunsch " + Global.player_name + "!\n\n\n\n\n" + $Panel/Label.text = congrats_text + Input.set_mouse_mode(Input.MOUSE_MODE_VISIBLE) + $Panel/SubViewportContainer/SubViewport/astronaut/Armature/Skeleton3D/Cube_001.mesh = load(Global.mesh_resource_player) + await get_tree().create_timer(3.0).timeout + $AnimationPlayer2.play('walk') + $Panel/SubViewportContainer/SubViewport/astronaut/AnimationPlayer.play('walk') + $Panel/SubViewportContainer/SubViewport/helper/AnimationPlayer.play('walk') + + +func _on_button_pressed() -> void: + get_tree().change_scene_to_file("res://title_screen.tscn") + + +func _on_animation_player_2_animation_finished(anim_name: StringName) -> void: + if anim_name == 'walk': + $Panel/SubViewportContainer/SubViewport/astronaut/AnimationPlayer.play('jump') + $Panel/SubViewportContainer/SubViewport/helper/AnimationPlayer.play('jump') + $AnimationPlayer2.play('jump') + if anim_name == 'jump': + if not jumped_back: + $AnimationPlayer2.play_backwards('jump') + jumped_back = true + else: + $AnimationPlayer2.play('turn') + if anim_name == 'turn': + $Panel/SubViewportContainer/SubViewport/helper/AnimationPlayer.play("happy3") + $Panel/SubViewportContainer/SubViewport/astronaut/AnimationPlayer.play('jump1') + $AnimationPlayer2.play("jump_player") + + +func _on_animation_player_2_current_animation_changed(name: String) -> void: + if name == 'jump_player': + await get_tree().create_timer(1.749).timeout + $AnimationPlayer2.stop() + $Panel/SubViewportContainer/SubViewport/helper.play_idle() + $Panel/SubViewportContainer/SubViewport/astronaut/AnimationPlayer.stop() + $Panel/SubViewportContainer/SubViewport/astronaut/AnimationPlayer.play("idle") + diff --git a/congratulations.gd.uid b/congratulations.gd.uid new file mode 100644 index 0000000..fd14619 --- /dev/null +++ b/congratulations.gd.uid @@ -0,0 +1 @@ +uid://u7h6i1paf76o diff --git a/congratulations.tscn b/congratulations.tscn new file mode 100644 index 0000000..ce85981 --- /dev/null +++ b/congratulations.tscn @@ -0,0 +1,765 @@ +[gd_scene load_steps=20 format=3 uid="uid://4e5j3vf6157t"] + +[ext_resource type="Script" uid="uid://u7h6i1paf76o" path="res://congratulations.gd" id="1_672tc"] +[ext_resource type="Texture2D" uid="uid://meyq57yqe3y0" path="res://assets/Images/spiel_confetti_p1.png" id="2_83qn3"] +[ext_resource type="Texture2D" uid="uid://dsqj15xhksyn7" path="res://assets/Images/spiel_confetti_p2.png" id="3_mnavu"] +[ext_resource type="ArrayMesh" uid="uid://dqkye0t6qismb" path="res://Resources/meshes/star.tres" id="4_ow5k7"] +[ext_resource type="Texture2D" uid="uid://daadwk7l41hc3" path="res://assets/Images/spiel_confetti_p3.png" id="4_vc5uk"] +[ext_resource type="PackedScene" uid="uid://drtpl8y1pojrc" path="res://Resources/Players/astronaut_for_animation.tscn" id="5_mnavu"] +[ext_resource type="PackedScene" uid="uid://dl4nljdcflehk" path="res://helper.tscn" id="6_vc5uk"] +[ext_resource type="AudioStream" uid="uid://iavkxbc1o48t" path="res://assets/Sounds/Christmas synths.ogg" id="8_vgs4b"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_sifym"] +bg_color = Color(0.089030795, 0.6737598, 0.75451314, 1) + +[sub_resource type="Animation" id="Animation_vgs4b"] +length = 0.001 +tracks/0/type = "value" 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type="AnimationLibrary" id="AnimationLibrary_nsfc4"] +_data = { +&"RESET": SubResource("Animation_vgs4b"), +&"confetti": SubResource("Animation_ow5k7") +} + +[sub_resource type="Animation" id="Animation_nsfc4"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/astronaut:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(-5.328655, -0.07449031, 0)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("Panel/SubViewportContainer/SubViewport/astronaut:rotation") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 1.0029883, 0)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("Panel/SubViewportContainer/SubViewport/helper:position") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(4.83819, 0, 0)] +} +tracks/3/type = "value" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("Panel/SubViewportContainer/SubViewport/helper:rotation") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, -1.0745991, 0)] +} +tracks/4/type = "value" +tracks/4/imported = false +tracks/4/enabled = true +tracks/4/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D3:visible") +tracks/4/interp = 1 +tracks/4/loop_wrap = true +tracks/4/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/5/type = "value" +tracks/5/imported = false +tracks/5/enabled = true +tracks/5/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D2:visible") +tracks/5/interp = 1 +tracks/5/loop_wrap = true +tracks/5/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/6/type = "value" +tracks/6/imported = false +tracks/6/enabled = true +tracks/6/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D:visible") +tracks/6/interp = 1 +tracks/6/loop_wrap = true +tracks/6/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/7/type = "value" +tracks/7/imported = false +tracks/7/enabled = true +tracks/7/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D3:position") +tracks/7/interp = 1 +tracks/7/loop_wrap = true +tracks/7/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(2.07053, 2.632355, 0)] +} +tracks/8/type = "value" +tracks/8/imported = false +tracks/8/enabled = true +tracks/8/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D:position") +tracks/8/interp = 1 +tracks/8/loop_wrap = true +tracks/8/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(-0.18399656, 2.9532015, 0)] +} +tracks/9/type = "value" +tracks/9/imported = false +tracks/9/enabled = true +tracks/9/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D2:position") +tracks/9/interp = 1 +tracks/9/loop_wrap = true +tracks/9/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(-1.7927862, 2.3874876, 0)] +} +tracks/10/type = "value" +tracks/10/imported = false +tracks/10/enabled = true +tracks/10/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D3:scale") 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= 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(1.3099039, 0, 0), Vector3(0.40401864, 1.2958016, 0)] +} +tracks/3/type = "value" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("Panel/SubViewportContainer/SubViewport/helper:rotation") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0.0333333, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, -1.0745991, 0), Vector3(0, -2.1231232, 0)] +} +tracks/4/type = "value" +tracks/4/imported = false +tracks/4/enabled = true +tracks/4/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D:visible") +tracks/4/interp = 1 +tracks/4/loop_wrap = true +tracks/4/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 1, +"values": [false, true] +} +tracks/5/type = "value" 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PackedFloat32Array(1, 1.3), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0.3, 0.3, 0.3), Vector3(0.7, 0.7, 0.7)] +} + +[sub_resource type="Animation" id="Animation_gmyaf"] +resource_name = "jump_player" +length = 0.5833 +loop_mode = 1 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/astronaut:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 0.4, 0.5833), +"transitions": PackedFloat32Array(1, 1, 1), +"update": 0, +"values": [Vector3(-1.2034657, -0.07449031, 0), Vector3(-1.2034657, 0.67601705, 0), Vector3(-1.2034657, -0.07449031, 0)] +} + +[sub_resource type="Animation" id="Animation_gpj83"] +resource_name = "stars" +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D:visible") +tracks/0/interp = 1 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NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D3:position") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0.34620965, 1.9795003, 0), Vector3(2.07053, 2.632355, 0)] +} +tracks/4/type = "value" +tracks/4/imported = false +tracks/4/enabled = true +tracks/4/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D:position") +tracks/4/interp = 1 +tracks/4/loop_wrap = true +tracks/4/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0.19106507, 2.1161165, 0), Vector3(-0.18399656, 2.9532015, 0)] +} +tracks/5/type = "value" +tracks/5/imported = false +tracks/5/enabled = true +tracks/5/path = NodePath("Panel/SubViewportContainer/SubViewport/MeshInstance3D2:position") +tracks/5/interp = 1 +tracks/5/loop_wrap = true +tracks/5/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0.05349171, 1.9961357, 0), Vector3(-1.7927862, 2.3874876, 0)] +} + +[sub_resource type="Animation" id="Animation_rxhha"] +resource_name = "turn" +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/astronaut:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(-1.2034657, -0.07449031, 0)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("Panel/SubViewportContainer/SubViewport/astronaut:rotation") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 1.0559242, 0), Vector3(0, 0.20231852, 0)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("Panel/SubViewportContainer/SubViewport/helper:position") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(1.3099039, 0, 0)] +} +tracks/3/type = "value" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("Panel/SubViewportContainer/SubViewport/helper:rotation") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0.0333333, 1), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, -1.0745991, 0), Vector3(0, -0.39509007, 0)] +} + +[sub_resource type="Animation" id="Animation_vc5uk"] +resource_name = "high5" +length = 1.5 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/astronaut:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 1.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(-4.949885, -0.07449031, 0), Vector3(-1.2034657, -0.07449031, 0)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("Panel/SubViewportContainer/SubViewport/astronaut:rotation") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0, 1.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 1.0029883, 0), Vector3(0, 1.0559242, 0)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("Panel/SubViewportContainer/SubViewport/helper:position") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0, 1.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(5.304529, 0, 0), Vector3(1.3099039, 0, 0)] +} +tracks/3/type = "value" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("Panel/SubViewportContainer/SubViewport/helper:rotation") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0, 1.5), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, -1.0745991, 0), Vector3(0, -1.0745991, 0)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_yj7mn"] +_data = { +&"RESET": SubResource("Animation_nsfc4"), +&"jump": SubResource("Animation_yj7mn"), +&"jump_player": SubResource("Animation_gmyaf"), +&"stars": SubResource("Animation_gpj83"), +&"turn": SubResource("Animation_rxhha"), +&"walk": SubResource("Animation_vc5uk") +} + +[node name="congrats" type="Control"] +layout_mode = 3 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 2 +script = ExtResource("1_672tc") + +[node name="Panel" type="Panel" parent="."] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1080.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_sifym") + +[node name="SubViewportContainer" type="SubViewportContainer" parent="Panel"] +layout_mode = 0 +offset_top = 300.0 +offset_right = 1920.0 +offset_bottom = 1100.0 +stretch = true + +[node name="SubViewport" type="SubViewport" parent="Panel/SubViewportContainer"] +transparent_bg = true +handle_input_locally = false +size = Vector2i(1920, 800) +render_target_update_mode = 4 + +[node name="Camera3D" type="Camera3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.01736927, 1.1251943, 4.3970723) +keep_aspect = 0 + +[node name="astronaut" parent="Panel/SubViewportContainer/SubViewport" instance=ExtResource("5_mnavu")] +transform = Transform3D(0.5377852, 0, 0.84308165, 0, 1, 0, -0.84308165, 0, 0.5377852, -5.328655, -0.07449031, 0) + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, 0.9743544, 0.22501907, 0, -0.22501907, 0.9743544, 0, 1.8751142, 2.3885398) + +[node name="helper" parent="Panel/SubViewportContainer/SubViewport" instance=ExtResource("6_vc5uk")] +transform = Transform3D(0.47608465, 0, -0.8793991, 0, 1, 0, 0.8793991, 0, 0.47608465, 4.83819, 0, 0) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(0.7, 0, 0, 0, 0.7, 0, 0, 0, 0.7, -0.18399656, 2.9532015, 0) +visible = false +mesh = ExtResource("4_ow5k7") + +[node name="MeshInstance3D2" type="MeshInstance3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(0.6627764, 0, -0.2252274, 0, 0.7, 0, 0.2252274, 0, 0.6627764, -1.7927862, 2.3874876, 0) +visible = false +mesh = ExtResource("4_ow5k7") + +[node name="MeshInstance3D3" type="MeshInstance3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(0.68926334, 0, 0.12213118, 0, 0.7, 0, -0.12213118, 0, 0.68926334, 2.07053, 2.632355, 0) +visible = false +mesh = ExtResource("4_ow5k7") + +[node name="TextureRect" type="TextureRect" parent="Panel"] +visible = false +layout_mode = 0 +offset_right = 3520.0 +offset_bottom = 2446.0 +scale = Vector2(0.555, 0.555) +texture = ExtResource("2_83qn3") + +[node name="TextureRect2" type="TextureRect" parent="Panel"] +visible = false +layout_mode = 0 +offset_right = 3521.0 +offset_bottom = 2810.0 +scale = Vector2(0.555, 0.555) +texture = ExtResource("3_mnavu") + +[node name="TextureRect3" type="TextureRect" parent="Panel"] +visible = false +layout_mode = 0 +offset_right = 3537.0 +offset_bottom = 2574.0 +scale = Vector2(0.555, 0.555) +texture = ExtResource("4_vc5uk") + +[node name="Label" type="Label" parent="Panel"] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1080.0 +theme_override_colors/font_color = Color(1, 1, 1, 1) +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 8 +theme_override_font_sizes/font_size = 74 +text = "Herzlichen Glückwunsch! + + + + +" +horizontal_alignment = 1 +vertical_alignment = 1 +autowrap_mode = 3 + +[node name="Label2" type="Label" parent="Panel"] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1080.0 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_colors/font_outline_color = Color(1, 1, 1, 1) +theme_override_constants/outline_size = 3 +theme_override_font_sizes/font_size = 48 +text = "Sie haben alle Aufgaben erfolgreich gemeistert und konnten zur Erde zurück kehren. +Wir hoffen Sie konnten etwas über KI und den EU AI Act lernen. +" +horizontal_alignment = 1 +vertical_alignment = 1 +autowrap_mode = 3 + +[node name="Button" type="Button" parent="Panel"] +layout_mode = 0 +offset_left = 775.0 +offset_top = 850.0 +offset_right = 1145.0 +offset_bottom = 916.0 +theme_override_font_sizes/font_size = 42 +text = "Nochmal spielen" + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_nsfc4") +} +autoplay = "confetti" + +[node name="AnimationPlayer2" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_yj7mn") +} + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("8_vgs4b") +volume_db = -10.0 +autoplay = true + +[connection signal="pressed" from="Panel/Button" to="." method="_on_button_pressed"] +[connection signal="animation_finished" from="AnimationPlayer2" to="." method="_on_animation_player_2_animation_finished"] +[connection signal="current_animation_changed" from="AnimationPlayer2" to="." method="_on_animation_player_2_current_animation_changed"] diff --git a/crosshair.gd b/crosshair.gd new file mode 100644 index 0000000..b97ad32 --- /dev/null +++ b/crosshair.gd @@ -0,0 +1,21 @@ +extends Control +@onready var bob: CharacterBody3D = $".." + +@onready var horizontal_line: Line2D = $Horizontal +@onready var vertical_line: Line2D = $Vertical + +func _ready(): + # Optional: Setze die Länge der Linien + horizontal_line.points = [Vector2(-15, 0), Vector2(15, 0)] + vertical_line.points = [Vector2(0, -15), Vector2(0, 15)] + self.visible = false + # Stelle sicher, dass das Control die Maus sehen kann + mouse_filter = Control.MOUSE_FILTER_IGNORE # sonst blockiert es Input + +func _process(delta): + # Setzt die Position des Crosshair-Control auf den Mauszeiger + if bob.mode == bob.PlayerMode.AIM: + self.visible = true + global_position = get_viewport().get_mouse_position() + else: + self.visible = false diff --git a/crosshair.gd.uid b/crosshair.gd.uid new file mode 100644 index 0000000..10bdc6f --- /dev/null +++ b/crosshair.gd.uid @@ -0,0 +1 @@ +uid://bethfppdcwvxc diff --git a/dialogue_state.gd b/dialogue_state.gd new file mode 100644 index 0000000..7a7eaed --- /dev/null +++ b/dialogue_state.gd @@ -0,0 +1,46 @@ +extends Node + +# keep track if a dialogue window is open +var is_dialogue_open = false +var time_since_dialoge_open +var seen = false +var alienFlags = { + 1: false, + 2: false, + 3: false, + 4: false, + 5: false + } +var batteriesFlag = false +var orderingGameFlag = false +var personalDataFlag = false +var currentTask = 0 +var enableLLM = true + +# Called when the node enters the scene tree for the first time. +func _ready() -> void: + # connect to the signal from dialogue manager + # that gets emitted when a dialogue ends + DialogueManager.dialogue_started.connect(_on_dialogue_started) + DialogueManager.dialogue_ended.connect(_on_dialogue_ended) + time_since_dialoge_open = Time.get_unix_time_from_system() + + +# Called every frame. 'delta' is the elapsed time since the previous frame. +func _process(delta: float) -> void: + pass + +func setAlienFlag(id): + alienFlags[id] = true + print("set alien ", id, " flag to: ", alienFlags[id]) + +# reset to false when dialogue ends +func _on_dialogue_ended(resource): + #print("dialogue_state.gd: Dialogue finished with arg: ", resource) + is_dialogue_open = false + time_since_dialoge_open = Time.get_unix_time_from_system() + +func _on_dialogue_started(resource): + #print("dialogue_state.gd: Dialogue finished with arg: ", resource) + is_dialogue_open = true + seen = false diff --git a/dialogue_state.gd.uid b/dialogue_state.gd.uid new file mode 100644 index 0000000..a261295 --- /dev/null +++ b/dialogue_state.gd.uid @@ -0,0 +1 @@ +uid://is6xw6rtev5c diff --git a/editorconfig b/editorconfig new file mode 100644 index 0000000..f28239b --- /dev/null +++ b/editorconfig @@ -0,0 +1,4 @@ +root = true + +[*] +charset = utf-8 diff --git a/flight_back.gd b/flight_back.gd new file mode 100644 index 0000000..bd76e84 --- /dev/null +++ b/flight_back.gd @@ -0,0 +1,6 @@ +extends Node3D + + +func _on_animation_player_animation_finished(anim_name: StringName) -> void: + if anim_name == "flight": + Transition.change_scene("res://congratulations.tscn") diff --git a/flight_back.gd.uid b/flight_back.gd.uid new file mode 100644 index 0000000..2f5c172 --- /dev/null +++ b/flight_back.gd.uid @@ -0,0 +1 @@ +uid://tkolpply7ieu diff --git a/flight_back.tscn b/flight_back.tscn new file mode 100644 index 0000000..d15496c --- /dev/null +++ b/flight_back.tscn @@ -0,0 +1,586 @@ +[gd_scene load_steps=32 format=4 uid="uid://dafknmmm437qx"] + +[ext_resource type="Script" uid="uid://tkolpply7ieu" path="res://flight_back.gd" id="1_i6slr"] +[ext_resource type="AudioStream" uid="uid://dl1fvdp2iaw7f" path="res://assets/Sounds/00 intro_0.ogg" id="2_x3v30"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_n68ur"] +resource_name = "suit" +cull_mode = 2 +albedo_color = 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SubResource("ProceduralSkyMaterial_gum04") + +[sub_resource type="Environment" id="Environment_copop"] +background_mode = 2 +sky = SubResource("Sky_7c3e5") + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_tx2pk"] +albedo_color = Color(0.14765647, 0.39654368, 0.6543933, 1) + +[sub_resource type="SphereMesh" id="SphereMesh_i6slr"] +material = SubResource("StandardMaterial3D_tx2pk") + +[sub_resource type="Animation" id="Animation_i6slr"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("spaceshuttle:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(-13.231068, -1.4108467, -26.26094)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("spaceshuttle:rotation") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.3054325, -5.6711286e-08, -1.188569)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("spaceshuttle:scale") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.4999997, 0.49999997, 0.4999997)] +} + +[sub_resource type="Animation" id="Animation_tx2pk"] +resource_name = "flight" +length = 3.0 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("spaceshuttle:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 1, 3), +"transitions": PackedFloat32Array(1, 1, 1), +"update": 0, +"values": [Vector3(-13.231068, -1.4108467, -26.26094), Vector3(3.0698843, 0.059435606, -20.507294), Vector3(6.800409, 3, -9)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("spaceshuttle:rotation") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.3054325, -5.6711286e-08, -1.188569)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("spaceshuttle:scale") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0, 1, 3), +"transitions": PackedFloat32Array(1, 1, 1), +"update": 0, +"values": [Vector3(0.4999997, 0.49999997, 0.4999997), Vector3(0.10000001, 0.10000001, 0.1), Vector3(0.050000004, 0.05, 0.05)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_x3v30"] +_data = { +&"RESET": SubResource("Animation_i6slr"), +&"flight": SubResource("Animation_tx2pk") +} + +[node name="flight_back" type="Node3D"] +script = ExtResource("1_i6slr") + +[node name="spaceshuttle" type="Node3D" parent="."] +transform = Transform3D(0.18649393, 0.46391806, -2.7043242e-08, -0.4424463, 0.17786251, -0.15035275, -0.13950269, 0.05607983, 0.4768582, -13.231068, -1.4108467, -26.26094) + +[node name="Cylinder_048" type="MeshInstance3D" parent="spaceshuttle"] +transform = Transform3D(0.358945, -0.010648966, 0.93329954, -0.0047140718, 0.99990225, 0.013222329, -0.9333477, -0.009145379, 0.35885882, 11.8572, 6.1241913, -25.201866) +mesh = SubResource("ArrayMesh_tx2pk") +skeleton = NodePath("") + +[node name="Cylinder_001" type="MeshInstance3D" parent="spaceshuttle"] +transform = Transform3D(0.010648966, 0.1794725, 0.93329954, -0.99990225, -0.0023570359, 0.013222329, 0.009145379, -0.46667385, 0.35885882, 12.546243, 9.484795, -27.117775) +mesh = SubResource("ArrayMesh_i6slr") +skeleton = NodePath("") + +[node name="Cylinder_002" type="MeshInstance3D" parent="spaceshuttle"] +transform = Transform3D(-0.010648966, -0.1794725, 0.93329954, 0.99990225, 0.0023570359, 0.013222329, -0.009145379, 0.46667385, 0.35885882, 11.05586, 9.504395, -23.242393) +mesh = SubResource("ArrayMesh_x3v30") +skeleton = NodePath("") + +[node name="Icosphere" type="MeshInstance3D" parent="spaceshuttle"] +transform = Transform3D(1.6119821, -5.811453e-07, -1.1920929e-07, -2.2351742e-08, 1.894022, -2.9802322e-08, -8.34465e-07, -2.9802322e-08, 1.6119804, 11.980897, -0.45624542, -25.668411) +mesh = SubResource("ArrayMesh_4l2n4") +skeleton = NodePath("") + +[node name="Cylinder_025" type="MeshInstance3D" parent="spaceshuttle"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 11.732598, 6.470854, -25.33884) +visible = false +mesh = SubResource("ArrayMesh_mc6c3") +skeleton = NodePath("") + +[node name="WorldEnvironment" type="WorldEnvironment" parent="."] +environment = SubResource("Environment_copop") + +[node name="Camera3D" type="Camera3D" parent="."] + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="."] + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 4.5330076, 2.0673118, -5.370677) +mesh = SubResource("SphereMesh_i6slr") + +[node name="Label3D" type="Label3D" parent="MeshInstance3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.67804193, 0.1867795) +text = "Erde" +font_size = 48 +outline_size = 16 + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_x3v30") +} +autoplay = "flight" + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("2_x3v30") +volume_db = -10.0 +autoplay = true + +[connection signal="animation_finished" from="AnimationPlayer" to="." method="_on_animation_player_animation_finished"] diff --git a/floating_text_component.gd b/floating_text_component.gd new file mode 100644 index 0000000..2fb1331 --- /dev/null +++ b/floating_text_component.gd @@ -0,0 +1,19 @@ +class_name FloatingComponent +extends SubViewport + +signal emit_spawn_text + +@export var text_label : PackedScene = null +var current_text : String = "" + +func _ready() -> void: + emit_spawn_text.connect(spawn_text) + +func set_text(new_text : String) -> void: + current_text = new_text + +func spawn_text() -> void: + + var new_text_label = text_label.instantiate() as Label + add_child(new_text_label) + new_text_label.text = current_text diff --git a/floating_text_component.gd.uid b/floating_text_component.gd.uid new file mode 100644 index 0000000..ba0478a --- /dev/null +++ b/floating_text_component.gd.uid @@ -0,0 +1 @@ +uid://bk3tpgkp5cxct diff --git a/floating_text_component.tscn b/floating_text_component.tscn new file mode 100644 index 0000000..384224e --- /dev/null +++ b/floating_text_component.tscn @@ -0,0 +1,10 @@ +[gd_scene load_steps=3 format=3 uid="uid://b3jo5jjblxhgo"] + +[ext_resource type="Script" uid="uid://bk3tpgkp5cxct" path="res://floating_text_component.gd" id="1_ikfxj"] +[ext_resource type="PackedScene" uid="uid://cifaimxmh32iy" path="res://floating_text_label.tscn" id="2_r5ayq"] + +[node name="FloatingTextComponent" type="SubViewport"] +transparent_bg = true +size = Vector2i(700, 512) +script = ExtResource("1_ikfxj") +text_label = ExtResource("2_r5ayq") diff --git a/floating_text_label.gd b/floating_text_label.gd new file mode 100644 index 0000000..fd7c225 --- /dev/null +++ b/floating_text_label.gd @@ -0,0 +1,21 @@ +class_name FloatingTextLabel +extends Label + +var text_velocity : Vector2 = Vector2.ZERO +const SPEED = 52 + +func _ready() -> void: + tween_text() + + +func tween_text() -> void: + position = Vector2(0, 450) + var goal_position = Vector2(0.0,-3000.0) + var distance := position.distance_to(goal_position) + var tween_time := distance / SPEED + + var tween = create_tween() + tween.tween_property(self, "position", goal_position, tween_time) + + await get_tree().create_timer(38).timeout + get_tree().change_scene_to_file("res://star_animation.tscn") diff --git a/floating_text_label.gd.uid b/floating_text_label.gd.uid new file mode 100644 index 0000000..47c9fce --- /dev/null +++ b/floating_text_label.gd.uid @@ -0,0 +1 @@ +uid://cl0a40hccvnte diff --git a/floating_text_label.tscn b/floating_text_label.tscn new file mode 100644 index 0000000..f0dfba3 --- /dev/null +++ b/floating_text_label.tscn @@ -0,0 +1,13 @@ +[gd_scene load_steps=2 format=3 uid="uid://cifaimxmh32iy"] + +[ext_resource type="Script" uid="uid://cl0a40hccvnte" path="res://floating_text_label.gd" id="1_4an1q"] + +[node name="FloatingTextLabel" type="Label"] +offset_right = 650.0 +offset_bottom = 58.0 +theme_override_colors/font_color = Color(1, 0.8, 0, 1) +theme_override_font_sizes/font_size = 42 +text = "oooo" +horizontal_alignment = 1 +autowrap_mode = 2 +script = ExtResource("1_4an1q") diff --git a/gitattributes b/gitattributes new file mode 100644 index 0000000..8ad74f7 --- /dev/null +++ b/gitattributes @@ -0,0 +1,2 @@ +# Normalize EOL for all files that Git considers text files. +* text=auto eol=lf diff --git a/gitignore b/gitignore new file mode 100644 index 0000000..bf83296 --- /dev/null +++ b/gitignore @@ -0,0 +1,17 @@ +# ---> Godot +# Godot 4+ specific ignores +.godot/ + +# Godot-specific ignores +.import/ +export.cfg +export_presets.cfg + +# Imported translations (automatically generated from CSV files) +*.translation + +# Mono-specific ignores +.mono/ +data_*/ +mono_crash.*.json + diff --git a/global.gd b/global.gd new file mode 100644 index 0000000..b170081 --- /dev/null +++ b/global.gd @@ -0,0 +1,13 @@ +extends Node + +var coins := 0 +const NUM_COINS_TO_WIN = 6 +const TOTAL_BALLOONS_A2 = 4 +const NUM_PLAYER_OPTIONS = 3 +var PlayerSelection := 0 +var batteries := 0 +const mesh_resource_player := "user://player_anim.tres" +var player_name = "Spieler1" +var chatbot_opened = false +var balloon_collected = false +var resource_balloon = "" diff --git a/global.gd.uid b/global.gd.uid new file mode 100644 index 0000000..4cb6cc9 --- /dev/null +++ b/global.gd.uid @@ -0,0 +1 @@ +uid://c4jxx8t5y3h20 diff --git a/helper.gd b/helper.gd new file mode 100644 index 0000000..f5dd66c --- /dev/null +++ b/helper.gd @@ -0,0 +1,36 @@ +extends Node3D + +func _ready() -> void: + play_idle() + +func play_idle() -> void: + $AnimationPlayer.stop() + $AnimationPlayer.play("idle") + + +func play_think_walk() -> void: + $AnimationPlayer.play("walk2") + +func celebrate() -> void: + $AnimationPlayer.play("happy3") + +func wave() -> void: + $AnimationPlayer.play("wave") + + +func stop_anim() -> void: + $AnimationPlayer.stop() + $AnimationPlayer.play("reset") + +func play_small_celebration() -> void: + $AnimationPlayer.stop() + $AnimationPlayer.play("happy") + await get_tree().create_timer(0.7).timeout + stop_anim() + + +func _on_animation_player_animation_finished(anim_name: StringName) -> void: + if anim_name == 'jump': + pass + else: + $AnimationPlayer.play('idle') diff --git a/helper.gd.uid b/helper.gd.uid new file mode 100644 index 0000000..5238344 --- /dev/null +++ b/helper.gd.uid @@ -0,0 +1 @@ +uid://b3w8yhl73vutr diff --git a/helper.tscn b/helper.tscn new file mode 100644 index 0000000..cc72877 --- /dev/null +++ b/helper.tscn @@ -0,0 +1,12 @@ +[gd_scene load_steps=3 format=3 uid="uid://dl4nljdcflehk"] + +[ext_resource type="PackedScene" uid="uid://8xttcm7ggdk1" path="res://assets/helper.glb" id="1_28ijs"] +[ext_resource type="Script" uid="uid://b3w8yhl73vutr" path="res://helper.gd" id="2_7vy5i"] + +[node name="helper" instance=ExtResource("1_28ijs")] +script = ExtResource("2_7vy5i") + +[node name="Skeleton3D" parent="Armature" index="0"] +bones/4/rotation = Quaternion(0.013889247, 0.10104456, 0.994784, -0.0014107985) + +[connection signal="animation_finished" from="AnimationPlayer" to="." method="_on_animation_player_animation_finished"] diff --git a/hud.gd b/hud.gd new file mode 100644 index 0000000..8b73457 --- /dev/null +++ b/hud.gd @@ -0,0 +1,14 @@ +extends CanvasLayer + +# Called when the node enters the scene tree for the first time. +func _ready() -> void: + pass #$CoinsLabel.text = str(0) + + +# Called every frame. 'delta' is the elapsed time since the previous frame. +func _process(delta: float) -> void: + pass + + +func _on_battery_collected() -> void: + $BatteryCounter.text = str(Global.batteries) diff --git a/hud.gd.uid b/hud.gd.uid new file mode 100644 index 0000000..413749a --- /dev/null +++ b/hud.gd.uid @@ -0,0 +1 @@ +uid://xl80phgfbmf0 diff --git a/hud.tscn b/hud.tscn new file mode 100644 index 0000000..2ee8779 --- /dev/null +++ b/hud.tscn @@ -0,0 +1,558 @@ +[gd_scene load_steps=34 format=4 uid="uid://3gm370vmvf03"] + +[ext_resource type="Script" uid="uid://xl80phgfbmf0" path="res://hud.gd" id="1_8sq4i"] +[ext_resource type="Texture2D" uid="uid://opwqjuyq505x" path="res://assets/Images/coin.png" id="1_37p78"] +[ext_resource type="FontFile" uid="uid://bejv1w0k1r7wi" path="res://assets/Fonts/FrancoisOne-Regular.ttf" id="2_64ctp"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_n2snw"] +bg_color = Color(0, 0, 0, 0.37254903) +corner_radius_top_left = 15 +corner_radius_top_right = 15 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") 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name="Node3D" type="Node3D" parent="SubViewportContainer/SubViewport"] +transform = Transform3D(0.1, 0, 0, 0, 0.1, 0, 0, 0, 0.1, 0, -0.03189522, 0) + +[node name="Cylinder_044" type="MeshInstance3D" parent="SubViewportContainer/SubViewport/Node3D"] +mesh = SubResource("ArrayMesh_640wx") +skeleton = NodePath("") + +[node name="Plane_059" type="MeshInstance3D" parent="SubViewportContainer/SubViewport/Node3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.057629168, 0.24559522, 0.3188877) +mesh = SubResource("ArrayMesh_4q17s") +skeleton = NodePath("") + +[node name="TextureRect" type="TextureRect" parent="."] +visible = false +offset_left = 49.0 +offset_top = 29.0 +offset_right = 89.0 +offset_bottom = 69.0 +texture = ExtResource("1_37p78") +expand_mode = 1 + +[node name="TotalBatteries" type="Label" parent="."] +offset_left = 101.0 +offset_top = 53.0 +offset_right = 146.0 +offset_bottom = 113.0 +theme_override_colors/font_color = Color(0.76, 0.5385867, 0.1824, 1) +theme_override_fonts/font = ExtResource("2_64ctp") +theme_override_font_sizes/font_size = 42 +text = "/4" + +[node name="BatteryCounter" type="Label" parent="."] +offset_left = 77.0 +offset_top = 53.0 +offset_right = 109.0 +offset_bottom = 113.0 +theme_override_colors/font_color = Color(0.76, 0.5385867, 0.1824, 1) +theme_override_fonts/font = ExtResource("2_64ctp") +theme_override_font_sizes/font_size = 42 +text = "0" + +[node name="Label" type="Label" parent="."] +offset_left = 1396.0 +offset_top = 979.0 +offset_right = 1913.0 +offset_bottom = 1045.0 +theme_override_colors/font_color = Color(1, 1, 1, 1) +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 2 +theme_override_font_sizes/font_size = 21 +text = "[h] drücken für Hilfe +[r] für Wechsel zwischen Kamera- und Wurfmodus" +horizontal_alignment = 2 diff --git a/inventory.gd b/inventory.gd new file mode 100644 index 0000000..858448c --- /dev/null +++ b/inventory.gd @@ -0,0 +1,77 @@ +extends Control + +var battery_positions = [Vector3(0.0, 0.0, 3.0), + Vector3(-3.0, 0.0, -3.0), + Vector3(0.0, 0.0, -3.0), + Vector3(3.0, 0.0, -3.0)] +@onready var player: CharacterBody3D = $".." +@onready var batteries = [$Panel/SubViewportContainer/SubViewport/batteries/Battery, + $Panel/SubViewportContainer/SubViewport/batteries/Battery2, + $Panel/SubViewportContainer/SubViewport/batteries/Battery3, + $Panel/SubViewportContainer/SubViewport/batteries/Battery4] +var max_pos = 4 +var index_shown_battery = 0 + +func _ready(): + update_label() + +func _on_arrow_left_pressed() -> void: + index_shown_battery -= 1 + index_shown_battery = posmod(index_shown_battery, max_pos) + for index in range(0, len(batteries)): + var battery = batteries[index] + var new_pos_index = posmod(index - index_shown_battery, max_pos) + battery.position = battery_positions[new_pos_index] + update_label() + + +func _on_arrow_right_pressed() -> void: + index_shown_battery += 1 + index_shown_battery = index_shown_battery % max_pos + for index in range(0, len(batteries)): + var battery = batteries[index] + var new_pos_index = (index - index_shown_battery) % max_pos + battery.position = battery_positions[new_pos_index] + update_label() + +func update_label() -> void: + print(index_shown_battery) + $Panel/BatteryLabel.text = batteries[index_shown_battery].battery_label + + +func _on_button_pressed() -> void: + if not player.grabbed_item: + var child = batteries[index_shown_battery] + remove_child(child) + max_pos -= 1 + batteries.remove_at(index_shown_battery) + battery_positions.remove_at(-1) + index_shown_battery = 0 + get_tree().current_scene.add_child(child) # zurück zur Welt + if child is RigidBody3D: + child.freeze = false + child.gravity_scale = 1.0 + player.interact_ray.grab(child) + if len(batteries) > 0: + reset_batteries() + player.toggle_inventory() + +func reset_batteries() -> void: + for index in range(0, len(batteries)): + var battery = batteries[index] + battery.position = battery_positions[index] + update_label() + + + +func _unhandled_input(event: InputEvent) -> void: + if self.visible: + if event is InputEventKey and event.pressed: + print(event.keycode) + if event.keycode == KEY_ENTER: + _on_button_pressed() + accept_event() + if Input.is_action_just_pressed("ui_left"): + _on_arrow_left_pressed() + elif Input.is_action_just_pressed("ui_right"): + _on_arrow_right_pressed() diff --git a/inventory.gd.uid b/inventory.gd.uid new file mode 100644 index 0000000..59d5132 --- /dev/null +++ b/inventory.gd.uid @@ -0,0 +1 @@ +uid://t7b0gqbw6lnd diff --git a/inventory.tscn b/inventory.tscn new file mode 100644 index 0000000..6e0d679 --- /dev/null +++ b/inventory.tscn @@ -0,0 +1,143 @@ +[gd_scene load_steps=4 format=3 uid="uid://dw8bb4m4ycg7a"] + +[ext_resource type="PackedScene" uid="uid://cjhhjxn28bjop" path="res://Resources/Objects/battery.tscn" id="1_pohso"] +[ext_resource type="Script" uid="uid://t7b0gqbw6lnd" path="res://inventory.gd" id="1_psafj"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_pohso"] +bg_color = Color(0.050708726, 0.1428257, 0.106126174, 1) + +[node name="Inventory" type="Control"] +layout_mode = 3 +anchors_preset = 0 +script = ExtResource("1_psafj") + +[node name="Panel" type="Panel" parent="."] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_right = 1920.0 +offset_bottom = 1050.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_pohso") + +[node name="SubViewportContainer" type="SubViewportContainer" parent="Panel"] +layout_mode = 0 +offset_left = 716.0 +offset_top = 234.0 +offset_right = 756.0 +offset_bottom = 274.0 + +[node name="SubViewport" type="SubViewport" parent="Panel/SubViewportContainer"] +transparent_bg = true +handle_input_locally = false +render_target_update_mode = 4 + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, 0.5844338, -0.81144136, 0, 0.81144136, 0.5844338, 0, 11.688578, 0.45935118) + +[node name="Camera3D" type="Camera3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, 0.6952105, -0.7188061, 0, 0.7188061, 0.6952105, 0, 8.487205, 3.3943152) +current = true + +[node name="batteries" type="Node3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, 0.5844338, -0.81144136, 0, 0.81144136, 0.5844338, 0, 11.688578, 0.45935118) + +[node name="Battery" parent="Panel/SubViewportContainer/SubViewport/batteries" instance=ExtResource("1_pohso")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 3) +gravity_scale = 0.0 +freeze = true +battery_label = "Chatbot" +image_path = "res://assets/Images/bot.jpg" + +[node name="Battery2" parent="Panel/SubViewportContainer/SubViewport/batteries" instance=ExtResource("1_pohso")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3, 0, -3) +gravity_scale = 0.0 +freeze = true +stored_power = 100 +battery_label = "biometrische Überwachung im öffentlichem Raum" +image_path = "res://assets/Images/surveillance.jpg" + +[node name="Battery3" parent="Panel/SubViewportContainer/SubViewport/batteries" instance=ExtResource("1_pohso")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, -3) +gravity_scale = 0.0 +freeze = true +stored_power = 25 +battery_label = "Spamfilter" +image_path = "res://assets/Images/mail.jpg" + +[node name="Battery4" parent="Panel/SubViewportContainer/SubViewport/batteries" instance=ExtResource("1_pohso")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 3, 0, -3) +gravity_scale = 0.0 +freeze = true +stored_power = 75 +battery_label = "Diagnose von Krankheiten auf MRT-Bildern" +image_path = "res://assets/Images/mrt.jpg" + +[node name="ArrowLeft" type="Button" parent="Panel"] +layout_mode = 0 +offset_left = 700.0 +offset_top = 500.0 +offset_right = 753.0 +offset_bottom = 615.0 +theme_override_constants/outline_size = 12 +theme_override_font_sizes/font_size = 78 +text = "<" + +[node name="ArrowRight" type="Button" parent="Panel"] +layout_mode = 0 +offset_left = 1150.0 +offset_top = 500.0 +offset_right = 1203.0 +offset_bottom = 615.0 +theme_override_constants/outline_size = 12 +theme_override_font_sizes/font_size = 78 +text = ">" + +[node name="BatteryLabel" type="Label" parent="Panel"] +layout_mode = 0 +offset_left = 560.0 +offset_top = 704.0 +offset_right = 1360.0 +offset_bottom = 771.0 +theme_override_constants/outline_size = 12 +theme_override_font_sizes/font_size = 48 +text = "Placeholder" +horizontal_alignment = 1 +vertical_alignment = 1 +autowrap_mode = 3 + +[node name="Title" type="Label" parent="Panel"] +layout_mode = 0 +offset_left = 836.0 +offset_top = 69.0 +offset_right = 1098.0 +offset_bottom = 157.0 +theme_override_constants/outline_size = 15 +theme_override_font_sizes/font_size = 64 +text = "Inventar" + +[node name="Button" type="Button" parent="."] +layout_mode = 0 +offset_left = 848.0 +offset_top = 840.0 +offset_right = 1079.0 +offset_bottom = 906.0 +theme_override_font_sizes/font_size = 42 +text = "Auswählen" + +[node name="Label" type="Label" parent="."] +layout_mode = 0 +offset_left = 1238.0 +offset_top = 983.0 +offset_right = 1906.0 +offset_bottom = 1028.0 +theme_override_font_sizes/font_size = 32 +text = "[c] zum Schließen ohne etwas auszuwählen" + +[connection signal="gui_input" from="." to="." method="_on_gui_input"] +[connection signal="gui_input" from="Panel" to="." method="_on_panel_gui_input"] +[connection signal="pressed" from="Panel/ArrowLeft" to="." method="_on_arrow_left_pressed"] +[connection signal="pressed" from="Panel/ArrowRight" to="." method="_on_arrow_right_pressed"] +[connection signal="pressed" from="Button" to="." method="_on_button_pressed"] diff --git a/keypad.gd b/keypad.gd new file mode 100644 index 0000000..aa5658e --- /dev/null +++ b/keypad.gd @@ -0,0 +1,39 @@ +extends Control + +const NR_CORRECT_BTNS := 9 +var correct_buttons_pressed := 0 +var wrong_buttons_pressed := 0 +signal game_finished +var missing_btns := 9 + + +func keypad_game_finished() -> void: + $Panel/Panel2.visible = true + await get_tree().create_timer(3.0).timeout + game_finished.emit() + + +func _on_correct_button_toggled(toggled_on: bool) -> void: + if toggled_on: + correct_buttons_pressed += 1 + if correct_buttons_pressed == NR_CORRECT_BTNS and wrong_buttons_pressed == 0: + keypad_game_finished() + else: + correct_buttons_pressed -= 1 + missing_btns = NR_CORRECT_BTNS - correct_buttons_pressed + change_hint() + if missing_btns < 6: + $Panel/Panel/Label/missing.visible = true + + +func _on_wrong_button_toggled(toggled_on: bool) -> void: + if toggled_on: + wrong_buttons_pressed += 1 + else: + wrong_buttons_pressed -= 1 + if correct_buttons_pressed == NR_CORRECT_BTNS and wrong_buttons_pressed == 0: + keypad_game_finished() + missing_btns = NR_CORRECT_BTNS - correct_buttons_pressed + +func change_hint() -> void: + $Panel/Panel/Label/missing.text = "[noch " + str(missing_btns) + "]" diff --git a/keypad.gd.uid b/keypad.gd.uid new file mode 100644 index 0000000..629ed10 --- /dev/null +++ b/keypad.gd.uid @@ -0,0 +1 @@ +uid://7gvkyyh7reye diff --git a/keypad.tscn b/keypad.tscn new file mode 100644 index 0000000..518a958 --- /dev/null +++ b/keypad.tscn @@ -0,0 +1,295 @@ +[gd_scene load_steps=10 format=3 uid="uid://ci7xurtb5s7ke"] + +[ext_resource type="Script" uid="uid://7gvkyyh7reye" path="res://keypad.gd" id="1_0sp1t"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_os0ty"] +bg_color = Color(0.469241, 0.36704, 0.0805582, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_0sp1t"] +bg_color = Color(0, 0, 0, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_w41gr"] +bg_color = Color(0.270588, 0.270588, 0.270588, 0.631373) +border_width_left = 4 +border_width_top = 4 +border_width_right = 4 +border_width_bottom = 4 +border_color = Color(0.587078, 0.587078, 0.587078, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_3c3sr"] +bg_color = Color(0.43825, 0.887988, 0.36566, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_8rcbr"] +bg_color = Color(0.483746, 0.483746, 0.483746, 1) +border_width_left = 4 +border_width_top = 4 +border_width_right = 4 +border_width_bottom = 4 +border_color = Color(0.543219, 0.957703, 0.937266, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_updv8"] +bg_color = Color(0.952284, 0.283376, 0.0882929, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_4swqm"] +bg_color = Color(0.28485, 0.28485, 0.28485, 0.52549) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_wey0v"] +bg_color = Color(8.18223e-07, 0.429743, 0.471273, 0.956863) + +[node name="Keypad" type="Control"] +layout_mode = 3 +anchors_preset = 0 +script = ExtResource("1_0sp1t") + +[node name="Panel" type="Panel" parent="."] +layout_mode = 1 +anchors_preset = 15 +anchor_right = 1.0 +anchor_bottom = 1.0 +offset_right = 1920.0 +offset_bottom = 1080.0 +grow_horizontal = 2 +grow_vertical = 2 +theme_override_styles/panel = SubResource("StyleBoxFlat_os0ty") + +[node name="Panel" type="Panel" parent="Panel"] +layout_mode = 0 +offset_left = 420.0 +offset_right = 1500.0 +offset_bottom = 1080.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_0sp1t") + +[node name="Buttons" type="Control" parent="Panel/Panel"] +anchors_preset = 0 +offset_right = 40.0 +offset_bottom = 40.0 + +[node name="Button" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 40.0 +offset_top = 300.0 +offset_right = 260.0 +offset_bottom = 520.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Ausweis" + +[node name="Button2" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 300.0 +offset_top = 300.0 +offset_right = 520.0 +offset_bottom = 520.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Foto" + +[node name="Button3" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 560.0 +offset_top = 300.0 +offset_right = 780.0 +offset_bottom = 520.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Wohnort" + +[node name="Button4" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 820.0 +offset_top = 300.0 +offset_right = 1040.0 +offset_bottom = 520.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_updv8") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Relativitätstheorie" +autowrap_mode = 3 + +[node name="Button5" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 40.0 +offset_top = 560.0 +offset_right = 260.0 +offset_bottom = 780.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Arbeit" + +[node name="Button6" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 300.0 +offset_top = 560.0 +offset_right = 520.0 +offset_bottom = 780.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_updv8") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Aktienkurs" +autowrap_mode = 3 + +[node name="Button7" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 560.0 +offset_top = 560.0 +offset_right = 780.0 +offset_bottom = 780.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_updv8") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "aktuelles Datum" +autowrap_mode = 3 + +[node name="Button8" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 820.0 +offset_top = 560.0 +offset_right = 1040.0 +offset_bottom = 780.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Geburtstdatum" +autowrap_mode = 3 + +[node name="Button9" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 40.0 +offset_top = 820.0 +offset_right = 260.0 +offset_bottom = 1040.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "IP-Adresse" +autowrap_mode = 3 + +[node name="Button10" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 300.0 +offset_top = 820.0 +offset_right = 520.0 +offset_bottom = 1040.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Personalausweisnummer" +autowrap_mode = 3 + +[node name="Button11" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 560.0 +offset_top = 820.0 +offset_right = 780.0 +offset_bottom = 1040.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "politische Meinung" +autowrap_mode = 3 + +[node name="Button12" type="Button" parent="Panel/Panel/Buttons"] +layout_mode = 0 +offset_left = 820.0 +offset_top = 820.0 +offset_right = 1040.0 +offset_bottom = 1040.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_w41gr") +theme_override_styles/pressed = SubResource("StyleBoxFlat_3c3sr") +theme_override_styles/hover = SubResource("StyleBoxFlat_8rcbr") +toggle_mode = true +text = "Religion" +autowrap_mode = 3 + +[node name="Label" type="Label" parent="Panel/Panel"] +layout_mode = 0 +offset_left = 40.0 +offset_top = 40.0 +offset_right = 1040.0 +offset_bottom = 260.0 +theme_override_font_sizes/font_size = 42 +theme_override_styles/normal = SubResource("StyleBoxFlat_4swqm") +text = "Wählen Sie aus den untenstehenden Optionen diejenigen aus, die persönliche Daten enthalten." +horizontal_alignment = 1 +vertical_alignment = 1 +autowrap_mode = 3 + +[node name="missing" type="Label" parent="Panel/Panel/Label"] +visible = false +layout_mode = 0 +offset_left = 894.0 +offset_top = 178.0 +offset_right = 1047.0 +offset_bottom = 208.0 +theme_override_font_sizes/font_size = 21 +text = "[noch x]" + +[node name="Panel2" type="Panel" parent="Panel"] +visible = false +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1080.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_wey0v") + +[node name="Label" type="Label" parent="Panel/Panel2"] +layout_mode = 0 +offset_left = 470.0 +offset_top = 200.0 +offset_right = 1470.0 +offset_bottom = 700.0 +theme_override_colors/font_outline_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 2 +theme_override_font_sizes/font_size = 62 +text = "Glückwunsch! Alles wurde richtig ausgewählt, die Aufgabe ist gelöst." +horizontal_alignment = 1 +vertical_alignment = 1 +autowrap_mode = 3 + +[node name="Label2" type="Label" parent="Panel/Panel2"] +layout_mode = 0 +offset_left = 569.0 +offset_top = 639.0 +offset_right = 1399.0 +offset_bottom = 692.0 +theme_override_font_sizes/font_size = 38 +text = "Sie dürfen nun zurück ins Raumschiff gehen." + +[connection signal="toggled" from="Panel/Panel/Buttons/Button" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button2" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button3" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button4" to="." method="_on_wrong_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button5" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button6" to="." method="_on_wrong_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button7" to="." method="_on_wrong_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button8" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button9" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button10" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button11" to="." method="_on_correct_button_toggled"] +[connection signal="toggled" from="Panel/Panel/Buttons/Button12" to="." method="_on_correct_button_toggled"] diff --git a/mesh_astronaut.gd b/mesh_astronaut.gd new file mode 100644 index 0000000..4943b77 --- /dev/null +++ b/mesh_astronaut.gd @@ -0,0 +1,27 @@ +extends MeshInstance3D + +func change_color_suit(new_color: Color): + # Ensure the material is unique so it doesn't change all instances + var material = get_active_material(0).duplicate() + set_surface_override_material(0, material) + + # Change the albedo (base) color + material.albedo_color = new_color + + +func change_color_highlight(new_color: Color): + # Ensure the material is unique so it doesn't change all instances + var material = get_active_material(0).duplicate() + for surface in range(4, get_surface_override_material_count()): + set_surface_override_material(surface, material) + + # Change the albedo (base) color + material.albedo_color = new_color + + +func _on_color_picker_color_changed(color: Color) -> void: + change_color_suit(color) + + +func _on_color_picker_2_color_changed(color: Color) -> void: + change_color_highlight(color) diff --git a/mesh_astronaut.gd.uid b/mesh_astronaut.gd.uid new file mode 100644 index 0000000..b44d435 --- /dev/null +++ b/mesh_astronaut.gd.uid @@ -0,0 +1 @@ +uid://tdnefmqvcmc7 diff --git a/npc.gd b/npc.gd new file mode 100644 index 0000000..3b53fa3 --- /dev/null +++ b/npc.gd @@ -0,0 +1,112 @@ +extends CharacterBody3D +class_name NPC_interactable + +@export var speed = 3.0 +# set direction seperate for each npc instance +@export var direction := Vector3() +var turning = false +var tmp_dir : Vector3 +var tmp_rotation : Vector3 +var rot_y = 0 +var facing_interacter = false +@export var prompt_message = "" +@export var dialogue = "res://Interact/dialogue/test_dialogue.dialogue" +@export var talkable = false +@export var dissapear_after_dialogoue = false +@export var game_balloon = "/game_balloons/game_balloon_v_2.tscn" +@export var alienID = 0 +signal dialogue_finished + +func _physics_process(delta: float) -> void: + # move the character based on its set direction + velocity.x = speed * direction.x + velocity.z = speed * direction.z + + # Add the gravity. + if not is_on_floor(): + velocity += get_gravity() * delta + + move_and_slide() + + if $RayCast3D.is_colliding() and not turning: + turn_around() + + if $RayCast3D2.is_colliding() and not turning: + turn_half() + + +func turn_around(): + turning = true + var dir = direction + var turn_tween = create_tween() + turn_tween.tween_property(self, "rotation_degrees", Vector3(0, 180, 0), 0.6).as_relative() + + await get_tree().create_timer(0.6).timeout + + direction.x = dir.x * -1 + direction.z = dir.z * -1 + turning = false + +func turn_half(): + turning = true + var dir = direction + var turn_tween = create_tween() + turn_tween.tween_property(self, "rotation_degrees", Vector3(0, 90, 0), 0.6).as_relative() + + await get_tree().create_timer(0.6).timeout + direction.x = dir.z + direction.z = -dir.x + turning = false + +func stop_walking(body: Node3D): + #stop moving + if direction != Vector3.ZERO: + tmp_dir = direction + direction = Vector3.ZERO + + +func resume_walking(): + self.rotate(Vector3(0,1,0), deg_to_rad(-rot_y)) + print(rot_y) + rot_y = 0 + facing_interacter = false + direction.x = tmp_dir.x + direction.z = tmp_dir.z + +func turn_to_face_interacter(body: Node3D): + if not facing_interacter: + # turn to face player + tmp_rotation = self.rotation_degrees + var turn_tween = create_tween() + rot_y = -(self.rotation_degrees.y - body.rotation_degrees.y) + print(self.rotation_degrees.y, ' ', body.rotation_degrees.y, ' ', rot_y) + turn_tween.tween_property(self, "rotation_degrees", Vector3(0, rot_y, 0), 0.2).as_relative() + facing_interacter = true + + +func _on_interaction_checker_body_entered(body: Node3D) -> void: + print(body.name + " is here") + stop_walking(body) +# if alienID == 99: +# $helper.wave() + + +func _on_interaction_checker_body_exited(body: Node3D) -> void: + print(body.name + " is gone, resume walking") + resume_walking() + if alienID == 99: + $helper.play_idle() + + +func dialogue_ended() -> void: + dialogue_finished.emit() + DialogueState.setAlienFlag(alienID) + if dissapear_after_dialogoue: + print("disappear") + if $CollisionShape3D: + $CollisionShape3D.disabled = true + + await get_tree().create_timer(1.0).timeout + queue_free() + if alienID == 99: + $helper.play_idle() diff --git a/npc.gd.uid b/npc.gd.uid new file mode 100644 index 0000000..c07a6b2 --- /dev/null +++ b/npc.gd.uid @@ -0,0 +1 @@ +uid://bivev0gbnbo5t diff --git a/npc.tscn b/npc.tscn new file mode 100644 index 0000000..cc1e6bc --- /dev/null +++ b/npc.tscn @@ -0,0 +1,52 @@ +[gd_scene load_steps=10 format=3 uid="uid://dcyiylikqbml0"] + +[ext_resource type="Script" uid="uid://bivev0gbnbo5t" path="res://npc.gd" id="1_ideak"] +[ext_resource type="PackedScene" uid="uid://ctx8osel3k43n" path="res://check_collision_wall.tscn" id="2_xxcha"] +[ext_resource type="PackedScene" uid="uid://bhihpqj7er21q" path="res://check_collision_npc.tscn" id="3_kh24r"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_v7lw1"] +albedo_color = Color(0.95, 0.91833335, 0, 1) + +[sub_resource type="CapsuleMesh" id="CapsuleMesh_ideak"] +material = SubResource("StandardMaterial3D_v7lw1") + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_xxcha"] +albedo_color = Color(0.3250464, 0.7797206, 0.1373662, 1) + +[sub_resource type="SphereMesh" id="SphereMesh_kh24r"] +material = SubResource("StandardMaterial3D_xxcha") + +[sub_resource type="CapsuleShape3D" id="CapsuleShape3D_ul7y6"] + +[sub_resource type="CapsuleShape3D" id="CapsuleShape3D_ideak"] +radius = 1.4262695 +height = 2.852539 + +[node name="NPC" type="CharacterBody3D"] +collision_layer = 8 +collision_mask = 3 +script = ExtResource("1_ideak") + +[node name="MeshInstance3D" type="MeshInstance3D" parent="."] +mesh = SubResource("CapsuleMesh_ideak") + +[node name="MeshInstance3D" type="MeshInstance3D" parent="MeshInstance3D"] +transform = Transform3D(-1.8953326e-08, 0, 0.683138, 0, 0.5, 0, -0.43360156, 0, -2.986091e-08, -0.003729701, 0.500463, 0.37263048) +mesh = SubResource("SphereMesh_kh24r") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="."] +shape = SubResource("CapsuleShape3D_ul7y6") + +[node name="RayCast3D" parent="." instance=ExtResource("2_xxcha")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.9736039, 0) + +[node name="InteractionChecker" type="Area3D" parent="."] +collision_layer = 0 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="InteractionChecker"] +shape = SubResource("CapsuleShape3D_ideak") + +[node name="RayCast3D2" parent="." instance=ExtResource("3_kh24r")] + +[connection signal="body_entered" from="InteractionChecker" to="." method="_on_interaction_checker_body_entered"] +[connection signal="body_exited" from="InteractionChecker" to="." method="_on_interaction_checker_body_exited"] diff --git a/project.godot b/project.godot new file mode 100644 index 0000000..2b7fc08 --- /dev/null +++ b/project.godot @@ -0,0 +1,196 @@ +; Engine configuration file. +; It's best edited using the editor UI and not directly, +; since the parameters that go here are not all obvious. +; +; Format: +; [section] ; section goes between [] +; param=value ; assign values to parameters + +config_version=5 + +[animation] + +compatibility/default_parent_skeleton_in_mesh_instance_3d=true + +[application] + +config/name="AI-Training" +run/main_scene="uid://bkxjs7ullu1dr" +config/features=PackedStringArray("4.5", "Forward Plus") +config/icon="uid://bjatj1h5e1bf8" + +[audio] + +buses/default_bus_layout="" +general/text_to_speech=true + +[autoload] + +Global="*res://global.gd" +DialogueManager="*res://addons/dialogue_manager/dialogue_manager.gd" +TextToSpeech="*res://Interact/dialogue/text_to_speech.gd" +DialogueState="*uid://is6xw6rtev5c" +Transition="*res://canvas_layer.tscn" + +[dialogue_manager] + +runtime/balloon_path="res://addons/dialogue_manager/game_balloons/game_balloon_v_2.tscn" +Transition="*res://canvas_layer.tscn" + +[display] + +window/size/viewport_width=1920 +window/size/viewport_height=1050 +window/size/mode=2 +window/stretch/mode="viewport" + +[editor_plugins] + +enabled=PackedStringArray("res://addons/dialogue_manager/plugin.cfg", "res://addons/terrain_3d/plugin.cfg") + +[global_group] + +throwable="" +player="" + +[input] + +ui_accept={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":0,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":32,"physical_keycode":0,"key_label":0,"unicode":32,"location":0,"echo":false,"script":null) +] +} +ui_left={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":0,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":4194319,"physical_keycode":0,"key_label":0,"unicode":0,"location":0,"echo":false,"script":null) +, Object(InputEventJoypadButton,"resource_local_to_scene":false,"resource_name":"","device":0,"button_index":13,"pressure":0.0,"pressed":false,"script":null) +, Object(InputEventJoypadMotion,"resource_local_to_scene":false,"resource_name":"","device":0,"axis":0,"axis_value":-1.0,"script":null) +, Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":65,"key_label":0,"unicode":97,"location":0,"echo":false,"script":null) +] +} +ui_right={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":0,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":4194321,"physical_keycode":0,"key_label":0,"unicode":0,"location":0,"echo":false,"script":null) +, Object(InputEventJoypadButton,"resource_local_to_scene":false,"resource_name":"","device":0,"button_index":14,"pressure":0.0,"pressed":false,"script":null) +, Object(InputEventJoypadMotion,"resource_local_to_scene":false,"resource_name":"","device":0,"axis":0,"axis_value":1.0,"script":null) +, Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":68,"key_label":0,"unicode":100,"location":0,"echo":false,"script":null) +] +} +ui_up={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":0,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":4194320,"physical_keycode":0,"key_label":0,"unicode":0,"location":0,"echo":false,"script":null) +, Object(InputEventJoypadButton,"resource_local_to_scene":false,"resource_name":"","device":0,"button_index":11,"pressure":0.0,"pressed":false,"script":null) +, Object(InputEventJoypadMotion,"resource_local_to_scene":false,"resource_name":"","device":0,"axis":1,"axis_value":-1.0,"script":null) +, Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":87,"key_label":0,"unicode":119,"location":0,"echo":false,"script":null) +] +} +ui_down={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":0,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":4194322,"physical_keycode":0,"key_label":0,"unicode":0,"location":0,"echo":false,"script":null) +, Object(InputEventJoypadButton,"resource_local_to_scene":false,"resource_name":"","device":0,"button_index":12,"pressure":0.0,"pressed":false,"script":null) +, Object(InputEventJoypadMotion,"resource_local_to_scene":false,"resource_name":"","device":0,"axis":1,"axis_value":1.0,"script":null) +, Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":83,"key_label":0,"unicode":115,"location":0,"echo":false,"script":null) +] +} +cam_left={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":74,"key_label":0,"unicode":106,"location":0,"echo":false,"script":null) +] +} +cam_right={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":76,"key_label":0,"unicode":108,"location":0,"echo":false,"script":null) +] +} +talk={ +"deadzone": 0.5, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":0,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":84,"key_label":0,"unicode":0,"location":0,"echo":false,"script":null) +, Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":4194309,"key_label":0,"unicode":0,"location":0,"echo":false,"script":null) +] +} +grab={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":69,"key_label":0,"unicode":101,"location":0,"echo":false,"script":null) +] +} +drop={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":81,"key_label":0,"unicode":113,"location":0,"echo":false,"script":null) +] +} +throw={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":82,"key_label":0,"unicode":114,"location":0,"echo":false,"script":null) +] +} +insert={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":70,"key_label":0,"unicode":102,"location":0,"echo":false,"script":null) +] +} +help={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":72,"key_label":0,"unicode":104,"location":0,"echo":false,"script":null) +] +} +keypad={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":75,"key_label":0,"unicode":107,"location":0,"echo":false,"script":null) +] +} +fast_forward={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":true,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":167,"key_label":0,"unicode":62,"location":0,"echo":false,"script":null) +] +} +rewind={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":true,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":89,"key_label":0,"unicode":122,"location":0,"echo":false,"script":null) +] +} +advance_dialogue={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":4194309,"key_label":0,"unicode":0,"location":0,"echo":false,"script":null) +, Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":32,"key_label":0,"unicode":32,"location":0,"echo":false,"script":null) +, Object(InputEventMouseButton,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"button_mask":0,"position":Vector2(0, 0),"global_position":Vector2(0, 0),"factor":1.0,"button_index":1,"canceled":false,"pressed":false,"double_click":false,"script":null) +] +} +click={ +"deadzone": 0.2, +"events": [Object(InputEventMouseButton,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"button_mask":0,"position":Vector2(0, 0),"global_position":Vector2(0, 0),"factor":1.0,"button_index":1,"canceled":false,"pressed":false,"double_click":false,"script":null) +] +} +inventory={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":67,"key_label":0,"unicode":99,"location":0,"echo":false,"script":null) +] +} +Screenshot={ +"deadzone": 0.2, +"events": [Object(InputEventKey,"resource_local_to_scene":false,"resource_name":"","device":-1,"window_id":0,"alt_pressed":false,"shift_pressed":false,"ctrl_pressed":false,"meta_pressed":false,"pressed":false,"keycode":0,"physical_keycode":79,"key_label":0,"unicode":111,"location":0,"echo":false,"script":null) +] +} + +[internationalization] + +locale/translations_pot_files=PackedStringArray("res://Interact/dialogue/simple_dialogue.dialogue", "res://Interact/dialogue/contact_info.dialogue", "res://Interact/dialogue/intro.dialogue", "res://Interact/dialogue/ai_v1.dialogue", "res://Interact/dialogue/ai_v4.dialogue", "res://Interact/dialogue/ai_v3.dialogue", "res://Interact/dialogue/ai_v2.dialogue", "res://Interact/dialogue/explain_ordering_game.dialogue", "res://Interact/dialogue/ai_v5.dialogue", "res://Interact/dialogue/helper_intro.dialogue", "res://Interact/dialogue/helper.dialogue", "res://Interact/dialogue/keypad.dialogue", "res://Interact/dialogue/albatross.dialogue", "res://Interact/dialogue/quiz_explainer.dialogue") + +[layer_names] + +3d_physics/layer_1="player" +3d_physics/layer_2="ground" +3d_physics/layer_3="item" +3d_physics/layer_4="npc" +3d_physics/layer_5="fallzone" +3d_physics/layer_6="throwable" +3d_physics/layer_7="boundary" + +[physics] + +3d/default_gravity=28.0 + +[rendering] + +renderer/rendering_method="gl_compatibility" +renderer/rendering_method.mobile="gl_compatibility" +anti_aliasing/quality/msaa_3d=1 diff --git a/quiz.gd b/quiz.gd new file mode 100644 index 0000000..d38874c --- /dev/null +++ b/quiz.gd @@ -0,0 +1,56 @@ +extends Node3D + +var current_question = 0 +var audio_playing = true +@onready var quiz_modules = [$quiz_module, $quiz_module2, $quiz_module3] + +func _ready() -> void: + DialogueManager.dialogue_ended.connect(_on_dialogue_ended) + DialogueManager.show_chosen_dialogue_balloon(load("res://Interact/dialogue/quiz_explainer.dialogue"), "/game_balloons/game_balloon_v_4.tscn", "start") + + +func _on_pressure_block_activated() -> void: + Transition.change_scene("res://flight_back.tscn") + + +func _on_quiz_module_question_answered() -> void: + quiz_modules[current_question].question_panel.visible = false + await get_tree().create_timer(2.0).timeout + current_question += 1 + if current_question < len(quiz_modules): + quiz_modules[current_question].set_question() + +func _on_dialogue_ended(_resource: DialogueResource) -> void: + quiz_modules[current_question].set_question() + $AudioStreamPlayer.volume_db = -10.0 + +func openLinkinBrowser(link): + OS.shell_open(link) + +func openAIActinBrowser(): + openLinkinBrowser("https://eur-lex.europa.eu/legal-content/DE/TXT/?uri=CELEX:32024R1689") + +func openDSGVOinBrowser(): + openLinkinBrowser("https://dsgvo-gesetz.de/") + + +func _on_player_chatbot_opened() -> void: + quiz_modules[current_question].question_panel.visible = false + +func _on_chatbot_closing_chatbot() -> void: + quiz_modules[current_question].question_panel.visible = true + +func quiet_down_music() -> void: + $AudioStreamPlayer.volume_db = -20.0 + +func reset_music_volume() -> void: + $AudioStreamPlayer.volume_db = -10.0 + + +func toggle_music() -> void: + if not audio_playing: + audio_playing = true + $AudioStreamPlayer.play() + else: + $AudioStreamPlayer.stop() + audio_playing = false diff --git a/quiz.gd.uid b/quiz.gd.uid new file mode 100644 index 0000000..e9787aa --- /dev/null +++ b/quiz.gd.uid @@ -0,0 +1 @@ +uid://b180w40v7q372 diff --git a/quiz.tscn b/quiz.tscn new file mode 100644 index 0000000..c2355d8 --- /dev/null +++ b/quiz.tscn @@ -0,0 +1,316 @@ +[gd_scene load_steps=22 format=4 uid="uid://b1f25kh45pvak"] + +[ext_resource type="PackedScene" uid="uid://ct8asbcv2h64f" path="res://quiz_module.tscn" id="1_k7kv1"] +[ext_resource type="Script" uid="uid://b180w40v7q372" path="res://quiz.gd" id="1_rmnlm"] +[ext_resource type="PackedScene" uid="uid://dvjxy8tyaxcjr" path="res://Resources/Objects/pressure_block.tscn" id="4_ngcn3"] +[ext_resource type="PackedScene" uid="uid://feh8xoh78swi" path="res://Resources/Players/player_animated.tscn" id="4_rmnlm"] +[ext_resource type="AudioStream" uid="uid://bti6xb001j251" path="res://assets/Sounds/Intro Theme.mp3" id="5_ngcn3"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_m6jio"] +resource_name = "shuttle_wall" +cull_mode = 2 +albedo_color = Color(0.5533272, 0.5533272, 0.5533272, 1) +metallic = 0.6862745 +roughness = 0.4215686 + +[sub_resource type="ArrayMesh" id="ArrayMesh_qrc3k"] +_surfaces = [{ +"aabb": AABB(-5, -2.5, -0.25, 10, 5, 0.5), +"format": 34896613377, +"index_count": 36, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAACAAEAAwAEAAEABQAAAAIAAwAAAAUABAAGAAIABQACAAYAAwAHAAQAAwAFAAcABwAGAAQABwAFAAYA"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 8, +"vertex_data": PackedByteArray("AAAAAP//AAAAAP//AAAAAAAA/////wAAAAAAAAAAAAD/////AAAAAP//AAD//wAA////////AAD//wAAAAAAAA==") +}] +blend_shape_mode = 0 + +[sub_resource type="ArrayMesh" id="ArrayMesh_k7kv1"] +resource_name = "shuttle_inside_Cube_003" +_surfaces = [{ +"aabb": AABB(-5, -2.5, -0.25, 10, 5, 0.5), +"attribute_data": PackedByteArray("/1////+f/7//n////1//v/9f/7//n/9//5//v/9f/3//X/9//5//P/+f/3//X/8//1//P/+fAAD/n/8//18AAP8f/3//X/8//1//f/8f/z//n/9//9//P//f/3//n/8/"), +"format": 34896613399, +"index_count": 36, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAAFAAYABAAHAAUACAAJAAoACAALAAkADAANAA4ADAAPAA0AEAARABIAEAATABEAFAAVABYAFAAXABUA"), +"material": SubResource("StandardMaterial3D_m6jio"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 24, +"vertex_data": PackedByteArray("AAAAAP//VNUAAP//AABU1QAA/////1TVAAAAAAAAVNUAAAAAAAD///////8AAP//AAD//wAA/////wAAAAD/////AAAAAFTV////////VNX/////AABU1f//AAD//1TV//8AAP///78AAP//////v/////////+/AAAAAP///78AAAAAAAD/v///AAD///+///8AAAAA/78AAAAA////v/////8AAP//AAD///////8AAP//AAD/////////////VNVU1VTVVNVU1VTVVNVU1f+//7//v/+//7//v/+//7+qKqoqqiqqKqoqqiqqKqoq/////////////////////wAA/38AAP9/AAD/fwAA/3//f/+//3//v/9//7//f/+/") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_qrc3k") + +[sub_resource type="BoxShape3D" id="BoxShape3D_i0i4q"] +size = Vector3(11, 5, 1) + +[sub_resource type="ArrayMesh" id="ArrayMesh_1x40t"] +_surfaces = [{ +"aabb": AABB(-0.25, -2.5, -7.5, 0.5, 5, 15), +"format": 34896613377, +"index_count": 36, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAACAAEAAwAEAAEABQAAAAIAAwAAAAUABAAGAAIABQACAAYAAwAHAAQAAwAFAAcABwAGAAQABwAFAAYA"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 8, +"vertex_data": PackedByteArray("AAAAAP//AAAAAP//AAAAAAAA/////wAAAAAAAAAAAAD/////AAAAAP//AAD//wAA////////AAD//wAAAAAAAA==") +}] +blend_shape_mode = 0 + +[sub_resource type="ArrayMesh" id="ArrayMesh_rmnlm"] +resource_name = "shuttle_inside_Cube_001" +_surfaces = [{ +"aabb": AABB(-0.25, -2.5, -7.5, 0.5, 5, 15), +"attribute_data": PackedByteArray("/1////+f/7//n////1//v/9f/7//n/9//5//v/9f/3//X/9//5//P/+f/3//X/8//1//P/+fAAD/n/8//18AAP8f/3//X/8//1//f/8f/z//n/9//9//P//f/3//n/8/"), +"format": 34896613399, +"index_count": 36, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAAFAAYABAAHAAUACAAJAAoACAALAAkADAANAA4ADAAPAA0AEAARABIAEAATABEAFAAVABYAFAAXABUA"), +"material": SubResource("StandardMaterial3D_m6jio"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 24, +"vertex_data": PackedByteArray("AAAAAP//VNUAAP//AABU1QAA/////1TVAAAAAAAAVNUAAAAAAAD///////8AAP//AAD//wAA/////wAAAAD/////AAAAAFTV////////VNX/////AABU1f//AAD//1TV//8AAP///78AAP//////v/////////+/AAAAAP///78AAAAAAAD/v///AAD///+///8AAAAA/78AAAAA////v/////8AAP//AAD///////8AAP//AAD/////////////VNVU1VTVVNVU1VTVVNVU1f+//7//v/+//7//v/+//7+qKqoqqiqqKqoqqiqqKqoq/////////////////////wAA/38AAP9/AAD/fwAA/3//f/+//3//v/9//7//f/+/") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_1x40t") + +[sub_resource type="BoxShape3D" id="BoxShape3D_ngcn3"] +size = Vector3(1, 5, 15) + +[sub_resource type="ArrayMesh" id="ArrayMesh_i100h"] +_surfaces = [{ +"aabb": AABB(-0.25, -2.5, -7.5, 0.5, 5, 15), +"format": 34896613377, +"index_count": 36, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAACAAEAAwAEAAEABQAAAAIAAwAAAAUABAAGAAIABQACAAYAAwAHAAQAAwAFAAcABwAGAAQABwAFAAYA"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 8, +"vertex_data": PackedByteArray("AAAAAP//AAAAAP//AAAAAAAA/////wAAAAAAAAAAAAD/////AAAAAP//AAD//wAA////////AAD//wAAAAAAAA==") +}] +blend_shape_mode = 0 + +[sub_resource type="ArrayMesh" id="ArrayMesh_hgkws"] +resource_name = "shuttle_inside_Cube_002" +_surfaces = [{ +"aabb": AABB(-0.25, -2.5, -7.5, 0.5, 5, 15), +"attribute_data": PackedByteArray("/1////+f/7//n////1//v/9f/7//n/9//5//v/9f/3//X/9//5//P/+f/3//X/8//1//P/+fAAD/n/8//18AAP8f/3//X/8//1//f/8f/z//n/9//9//P//f/3//n/8/"), +"format": 34896613399, +"index_count": 36, +"index_data": PackedByteArray("AAABAAIAAAADAAEABAAFAAYABAAHAAUACAAJAAoACAALAAkADAANAA4ADAAPAA0AEAARABIAEAATABEAFAAVABYAFAAXABUA"), +"material": SubResource("StandardMaterial3D_m6jio"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 24, +"vertex_data": PackedByteArray("AAAAAP//VNUAAP//AABU1QAA/////1TVAAAAAAAAVNUAAAAAAAD///////8AAP//AAD//wAA/////wAAAAD/////AAAAAFTV////////VNX/////AABU1f//AAD//1TV//8AAP///78AAP//////v/////////+/AAAAAP///78AAAAAAAD/v///AAD///+///8AAAAA/78AAAAA////v/////8AAP//AAD///////8AAP//AAD/////////////VNVU1VTVVNVU1VTVVNVU1f+//7//v/+//7//v/+//7+qKqoqqiqqKqoqqiqqKqoq/////////////////////wAA/38AAP9/AAD/fwAA/3//f/+//3//v/9//7//f/+/") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_i100h") + +[sub_resource type="ArrayMesh" id="ArrayMesh_c51hi"] +_surfaces = [{ +"aabb": AABB(-5.5, 0, -7.5, 11, 1e-05, 15), +"format": 34896613377, +"index_count": 6, +"index_data": PackedByteArray("AAABAAIAAAADAAEA"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 4, +"vertex_data": PackedByteArray("AAAAAP//AAD//wAAAAAAAP//AAD//wAAAAAAAAAAAAA=") +}] +blend_shape_mode = 0 + +[sub_resource type="ArrayMesh" id="ArrayMesh_6id1c"] +resource_name = "shuttle_inside_Plane_005" +_surfaces = [{ +"aabb": AABB(-5.5, 0, -7.5, 11, 1e-05, 15), +"attribute_data": PackedByteArray("AAD/////AAD/////AAAAAA=="), +"format": 34896613399, +"index_count": 6, +"index_data": PackedByteArray("AAABAAIAAAADAAEA"), +"material": SubResource("StandardMaterial3D_m6jio"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 4, +"vertex_data": PackedByteArray("AAAAAP///7///wAAAAD/v///AAD///+/AAAAAAAA/7////9/////f////3////9/") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_c51hi") + +[sub_resource type="BoxShape3D" id="BoxShape3D_p60ki"] +size = Vector3(11, 0.1, 15) + +[sub_resource type="BoxShape3D" id="BoxShape3D_rmnlm"] +size = Vector3(20, 0.1, 20) + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_01ito"] +resource_name = "shuttle_wall" +cull_mode = 2 +albedo_color = Color(0.5533272, 0.5533272, 0.5533272, 1) +metallic = 0.6862745 +roughness = 0.4215686 + +[sub_resource type="ArrayMesh" id="ArrayMesh_ul5y3"] +_surfaces = [{ +"aabb": AABB(-5.5, 0, -7.5, 11, 1e-05, 15), +"format": 34896613377, +"index_count": 6, +"index_data": PackedByteArray("AAABAAIAAAADAAEA"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 4, +"vertex_data": PackedByteArray("AAAAAP//AAD//wAAAAAAAP//AAD//wAAAAAAAAAAAAA=") +}] +blend_shape_mode = 0 + +[sub_resource type="ArrayMesh" id="ArrayMesh_ngcn3"] +resource_name = "shuttle_inside-002_Plane_018" +_surfaces = [{ +"aabb": AABB(-5.5, 0, -7.5, 11, 1e-05, 15), +"attribute_data": PackedByteArray("AAD/////AAD/////AAAAAA=="), +"format": 34896613399, +"index_count": 6, +"index_data": PackedByteArray("AAABAAIAAAADAAEA"), +"material": SubResource("StandardMaterial3D_01ito"), +"name": "shuttle_wall", +"primitive": 3, +"uv_scale": Vector4(0, 0, 0, 0), +"vertex_count": 4, +"vertex_data": PackedByteArray("AAAAAP///7///wAAAAD/v///AAD///+/AAAAAAAA/7////9/////f////3////9/") +}] +blend_shape_mode = 0 +shadow_mesh = SubResource("ArrayMesh_ul5y3") + +[node name="Raumschiff" type="Node3D"] +script = ExtResource("1_rmnlm") + +[node name="wall_back" type="StaticBody3D" parent="."] +transform = Transform3D(0.9987176, 0, -0.050627805, 0, 1, 0, 0.050627805, 0, 0.9987176, -0.30161667, 2.5, -7.0105467) +collision_layer = 2 + +[node name="wall_back" type="MeshInstance3D" parent="wall_back"] +mesh = SubResource("ArrayMesh_k7kv1") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="wall_back"] +shape = SubResource("BoxShape3D_i0i4q") + +[node name="wall_front" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2.5, -58.040337) +collision_layer = 2 + +[node name="wall_back" type="MeshInstance3D" parent="wall_front"] +mesh = SubResource("ArrayMesh_k7kv1") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="wall_front"] +shape = SubResource("BoxShape3D_i0i4q") + +[node name="wall_left" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5, 2.5, -57.572205) +collision_layer = 2 + +[node name="wall_left" type="MeshInstance3D" parent="wall_left"] +mesh = SubResource("ArrayMesh_rmnlm") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="wall_left"] +shape = SubResource("BoxShape3D_ngcn3") + +[node name="wall_right" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5, 2.5, -57.572205) +collision_layer = 2 + +[node name="wall_right" type="MeshInstance3D" parent="wall_right"] +mesh = SubResource("ArrayMesh_hgkws") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="wall_right"] +shape = SubResource("BoxShape3D_ngcn3") + +[node name="floor" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, -58.580963) +collision_layer = 2 +collision_mask = 13 + +[node name="Plane_004" type="MeshInstance3D" parent="floor"] +mesh = SubResource("ArrayMesh_6id1c") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="floor"] +shape = SubResource("BoxShape3D_p60ki") + +[node name="quiz_module" parent="." instance=ExtResource("1_k7kv1")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, -17.726673) +question = "Ist der EU AI Act wichtig?" +correct = 1 +answer_0 = "Nein." +answer_1 = "Ja, denn er ist das weltweit erste Gesetz zur Regulierung von KI." +answer_2 = "Nein, KI ist super und unbedenklich." +answer_3 = "Mir egal." + +[node name="quiz_module2" parent="." instance=ExtResource("1_k7kv1")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, -31.685097) +question = "Stellen Sie sich vor, Sie wollen ein Sprachmodell nutzen um Entwürfe für offizielle Schreiben der Universität zu erstellen. Was ist im Hinblick auf den AI Act dabei zu beachten?" +correct = 3 +answer_0 = "Die Verwendung eines LLM ist verboten, da es sich um eine nicht autorisierte Software handelt. " +answer_1 = "Die Verwendung des LLM spart Zeit und ist daher unbedenklich." +answer_2 = "Es ist irrelevant, wie die Entwürfe entstanden sind, solange das Ergebnis professionell aussieht." +answer_3 = "Der Inhalt der Entwürfe muss sorgfältig geprüft werden, um sicherzustellen, dass er korrekt, vollständig und nicht irreführend ist. Zudem kann ich ein lokal betriebens LLM an der Uni Greifswald nutzen werden und so verhindern, dass Firmen wie Google oder Apple Informationen über meine Arbeit und meine Person erhalten. " + +[node name="quiz_module3" parent="." instance=ExtResource("1_k7kv1")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, -45.584503) +question = "Ein Mitarbeiter möchte ein Sprachmodel nutzen, um eine Zusammenfassung von Feedback-Antworten zu einer Vorlesung von Studierenden zu erstellen. Die Antworten enthalten Namen, Matrikelnummern und persönliche Meinungen, außerdem den Name der Vorlesung und der Universität. Was sollte der Mitarbeiter unbedingt tun? " +correct = 2 +answer_0 = "Die vollständigen Antworten direkt in das Sprachmodell eingeben, um eine möglichst vollständige Analyse zu erhalten." +answer_1 = "Die Antworten zunächst in ein anonymisiertes Format überführen, bevor sie dem LLM zugeführt werden. Der Name der Universität und der Vorlesung muss nicht anonymisiert werden, weil es 2 Vorlesungen zum selben Thema gibt." +answer_2 = "Die Antworten sind zunächst in ein anonymisiertes Format zu überführen, bevor sie dem Sprachmodell zugeführt werden. Auch der Name der Universität und der Vorlesung muss anonymisiert werden, denn daraus kann auf Teilnehmende oder Lehrende geschlossen werden." +answer_3 = "Die Namen und Matrikelnummern manuell aus den Antworten entfernen, bevor sie dem Sprachmodell zugeführt werden." + +[node name="PressureBlock" parent="." instance=ExtResource("4_ngcn3")] +transform = Transform3D(5, 0, 0, 0, 5, 0, 0, 0, 5, 0, -0.34563518, -54.785778) + +[node name="Player" parent="." groups=["player"] instance=ExtResource("4_rmnlm")] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2.1087542, -12.584927) + +[node name="Camera_Controller" parent="Player" index="1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, -12.567163) + +[node name="ceiling" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 5, -57.162556) +collision_layer = 2 +collision_mask = 13 + +[node name="CollisionShape3D" type="CollisionShape3D" parent="ceiling"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0.15474892) +shape = SubResource("BoxShape3D_rmnlm") + +[node name="Plane_001" type="MeshInstance3D" parent="ceiling"] +transform = Transform3D(1.8181819, 0, 0, 0, 1, 0, 0, 0, 1.3333334, 0, 0, 0) +mesh = SubResource("ArrayMesh_ngcn3") +skeleton = NodePath("") + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("5_ngcn3") +volume_db = -20.0 +autoplay = true + +[connection signal="question_answered" from="quiz_module" to="." method="_on_quiz_module_question_answered"] +[connection signal="question_answered" from="quiz_module2" to="." method="_on_quiz_module_question_answered"] +[connection signal="question_answered" from="quiz_module3" to="." method="_on_quiz_module_question_answered"] +[connection signal="activated" from="PressureBlock" to="." method="_on_pressure_block_activated"] +[connection signal="chatbot_opened" from="Player" to="." method="_on_player_chatbot_opened"] +[connection signal="closing_chatbot" from="Player/Chatbot" to="." method="_on_chatbot_closing_chatbot"] + +[editable path="Player"] diff --git a/quiz_module.gd b/quiz_module.gd new file mode 100644 index 0000000..20ad201 --- /dev/null +++ b/quiz_module.gd @@ -0,0 +1,95 @@ +extends Node3D +class_name QuizModule + +@export var question: String +@export var correct: int +@export var answer_0: String +@export var answer_1: String +@export var answer_2: String +@export var answer_3: String + +@onready var animation_player: AnimationPlayer = $AnimationPlayer +@onready var quiz_light = $quiz_light + +@onready var answer_pad_0: Area3D = $answers/answer_pad_0/Area3D +@onready var answer_pad_1: Area3D = $answers/answer_pad_1/Area3D +@onready var answer_pad_2: Area3D = $answers/answer_pad_2/Area3D +@onready var answer_pad_3: Area3D = $answers/answer_pad_3/Area3D + +@onready var answer_plates = [$answers/answer_pad_0/Cube, + $answers/answer_pad_1/Cube, + $answers/answer_pad_2/Cube, + $answers/answer_pad_3/Cube] + +@onready var answer_0_label: Label3D = $answers/answer_pad_0/answer_0_label +@onready var answer_1_label: Label3D = $answers/answer_pad_1/answer_1_label +@onready var answer_2_label: Label3D = $answers/answer_pad_2/answer_2_label +@onready var answer_3_label: Label3D = $answers/answer_pad_3/answer_3_label + +@onready var question_label: Label = $CanvasLayer/PanelContainer/question_label +@onready var question_panel: CanvasLayer = $CanvasLayer + +var answered_correctly := false + +signal question_answered + +func _ready() -> void: + + # Connect signals + answer_pad_0.body_entered.connect(_on_answer_entered.bind(0)) + answer_pad_1.body_entered.connect(_on_answer_entered.bind(1)) + answer_pad_2.body_entered.connect(_on_answer_entered.bind(2)) + answer_pad_3.body_entered.connect(_on_answer_entered.bind(3)) + + # IMPORTANT: cuplicate material, so that it is not shared with other instances + var unique_mat = quiz_light.mesh.surface_get_material(0).duplicate() + quiz_light.set_surface_override_material(0, unique_mat) + for answer_plate in answer_plates: + var unique_answer_mat = answer_plate.mesh.surface_get_material(0).duplicate() + answer_plate.set_surface_override_material(0,unique_answer_mat) + + +func set_question() -> void: + # Set texts + var full_question_text = question + "\na) "+answer_0+ "\nb) "+answer_1+ "\nc) "+answer_2+ "\nd) "+answer_3 + "\n" + question_label.text = full_question_text + question_panel.visible = true + +func _on_answer_entered(body: Node3D, answer_index: int) -> void: + if not body.is_in_group("player"): + return # Only player should trigger + + # If already answered correctly, do nothing + if answered_correctly: + return + + # Check and set only THIS instance of the lamp + if answer_index == correct: + _set_light_color(Color.GREEN) + _set_plate_color(answer_index, Color.GREEN) + question_label.visible = false + animation_player.play("open_door") + answered_correctly = true + question_answered.emit() + $"../Player".reset_speed() + else: + $"../Player".slow_down() + _set_light_color(Color.RED) + _set_plate_color(answer_index, Color.RED) + await get_tree().create_timer(1.0).timeout + _set_plate_color(answer_index, Color.BLACK) + +func _set_light_color(color: Color) -> void: + # Set only the material of this instance + quiz_light.get_surface_override_material(0).albedo_color = color + quiz_light.get_surface_override_material(0).emission = color + # Increase emission for visibility for colors which are not white for a short time + quiz_light.get_surface_override_material(0).emission_energy = 1.5 if color != Color.WHITE else 0.5 + +func _set_plate_color(answer_index: int, color: Color) -> void: + # Set only the material of this instance + var answer_plate = answer_plates[answer_index] + answer_plate.get_surface_override_material(0).albedo_color = color + answer_plate.get_surface_override_material(0).emission = color + # Increase emission for visibility for colors which are not white for a short time + answer_plate.get_surface_override_material(0).emission_energy = 1.5 if color != Color.BLACK else 0.5 diff --git a/quiz_module.gd.uid b/quiz_module.gd.uid new file mode 100644 index 0000000..d922caa --- /dev/null +++ b/quiz_module.gd.uid @@ -0,0 +1 @@ +uid://c3tadfnd3fefg diff --git a/quiz_module.tscn b/quiz_module.tscn new file mode 100644 index 0000000..854f37c --- /dev/null +++ b/quiz_module.tscn @@ -0,0 +1,1351 @@ +[gd_scene load_steps=67 format=4 uid="uid://ct8asbcv2h64f"] + +[ext_resource type="Script" uid="uid://c3tadfnd3fefg" path="res://quiz_module.gd" id="1_ibe5h"] + +[sub_resource type="StandardMaterial3D" id="StandardMaterial3D_m6jio"] +resource_name = "shuttle_wall" +cull_mode = 2 +albedo_color = Color(0.5533272, 0.5533272, 0.5533272, 1) +metallic = 0.6862745 +roughness = 0.4215686 + +[sub_resource type="ArrayMesh" id="ArrayMesh_17c28"] +_surfaces = [{ +"aabb": AABB(-1.5, -2.5, -0.25, 3, 5, 0.5), +"format": 34896613377, +"index_count": 36, +"index_data": 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SubResource("ArrayMesh_1hsrl") +skeleton = NodePath("") + +[node name="quiz_light" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.040314198, 4.8455215, -3.2191212) +mesh = SubResource("ArrayMesh_4y6va") +skeleton = NodePath("") + +[node name="answers" type="Node3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 3.5254135, 0, 1.2694516) + +[node name="answer_pad_0" type="Node3D" parent="answers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -6.334551, 0, 0) + +[node name="Cube" type="MeshInstance3D" parent="answers/answer_pad_0"] +mesh = SubResource("ArrayMesh_a410p") +skeleton = NodePath("") + +[node name="answer_0_label" type="Label3D" parent="answers/answer_pad_0"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.6, 0) +text = "a" +font_size = 42 +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_0"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_0/Area3D"] +shape = SubResource("BoxShape3D_f5owb") + +[node name="answer_pad_1" type="Node3D" parent="answers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -4.3221426, 0, 0) + +[node name="Cube" type="MeshInstance3D" parent="answers/answer_pad_1"] +mesh = SubResource("ArrayMesh_hqut7") +skeleton = NodePath("") + +[node name="answer_1_label" type="Label3D" parent="answers/answer_pad_1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.6, 0) +text = "b" +font_size = 42 +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_1"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_1/Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.48036242, 0) +shape = SubResource("BoxShape3D_iisqb") + +[node name="answer_pad_2" type="Node3D" parent="answers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -2.3474913, 0, 0) + +[node name="Cube" type="MeshInstance3D" parent="answers/answer_pad_2"] +mesh = SubResource("ArrayMesh_g46ts") +skeleton = NodePath("") + +[node name="answer_2_label" type="Label3D" parent="answers/answer_pad_2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.6, 0) +text = "c" +font_size = 42 +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_2"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_2/Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.48036242, 0) +shape = SubResource("BoxShape3D_38fps") + +[node name="answer_pad_3" type="Node3D" parent="answers"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.22740316, 0, 0) + +[node name="Cube" type="MeshInstance3D" parent="answers/answer_pad_3"] +mesh = SubResource("ArrayMesh_1puio") +skeleton = NodePath("") + +[node name="answer_3_label" type="Label3D" parent="answers/answer_pad_3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.6, 0) +text = "d" +font_size = 42 +autowrap_mode = 2 + +[node name="Area3D" type="Area3D" parent="answers/answer_pad_3"] + +[node name="CollisionShape3D" type="CollisionShape3D" parent="answers/answer_pad_3/Area3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.48036242, 0) +shape = SubResource("BoxShape3D_n2pkb") + +[node name="Cylinder" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 3.1074324, 4.763411, 1.5587368) +mesh = SubResource("ArrayMesh_3h25y") +skeleton = NodePath("") + +[node name="Cylinder_001" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 2.0786886, 4.763411, 1.5587368) +mesh = SubResource("ArrayMesh_uvlf2") +skeleton = NodePath("") + +[node name="Cylinder_003" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -2.0554328, 4.763411, 1.5359802) +mesh = SubResource("ArrayMesh_twqpa") +skeleton = NodePath("") + +[node name="Cylinder_004" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3.0841765, 4.763411, 1.5359802) +mesh = SubResource("ArrayMesh_7rddw") +skeleton = NodePath("") + +[node name="Cylinder_005" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 3.1074324, 4.763411, 6.3896565) +mesh = SubResource("ArrayMesh_b6s5l") +skeleton = NodePath("") + +[node name="Cylinder_006" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 2.0786886, 4.763411, 6.3896565) +mesh = SubResource("ArrayMesh_8136e") +skeleton = NodePath("") + +[node name="Cylinder_007" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -2.0554328, 4.763411, 6.3669) +mesh = SubResource("ArrayMesh_bdw0d") +skeleton = NodePath("") + +[node name="Cylinder_008" type="MeshInstance3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -3.0841765, 4.763411, 6.3669) +mesh = SubResource("ArrayMesh_8rxx6") +skeleton = NodePath("") + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_1gcv2") +} + +[node name="question_label" type="Label3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1.8425822, -3.4146466) +font_size = 42 + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 0.49268183, 0.87020946, 0, -0.87020946, 0.49268183, 0, 4.151611, 6.3500185) + +[node name="CanvasLayer" type="CanvasLayer" parent="."] +visible = false + +[node name="PanelContainer" type="PanelContainer" parent="CanvasLayer"] +anchors_preset = 12 +anchor_top = 1.0 +anchor_right = 1.0 +anchor_bottom = 1.0 +grow_horizontal = 2 +grow_vertical = 0 + +[node name="question_label" type="Label" parent="CanvasLayer/PanelContainer"] +layout_mode = 2 +theme_override_constants/outline_size = 3 +theme_override_font_sizes/font_size = 24 +text = "Dies ist eine Testfrage... + + +" +autowrap_mode = 3 + +[node name="wall" type="StaticBody3D" parent="."] +transform = Transform3D(0.998664, 0, -0.05167363, 0, 1, 0, 0.05167363, 0, 0.998664, -0.17936611, 0, 3.3105173) +collision_layer = 2 +collision_mask = 45 + +[node name="wall_middle" type="MeshInstance3D" parent="wall"] +transform = Transform3D(0.99976796, 0, 0.021535698, 0, 1, 0, -0.021535698, 0, 0.99976796, 0.012136534, 0, 0.234555) +mesh = SubResource("ArrayMesh_pv6ja") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="wall"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 7.4335523, 2.4869175, -0.013553381) +shape = SubResource("BoxShape3D_ibe5h") + +[node name="CollisionShape3D2" type="CollisionShape3D" parent="wall"] +transform = Transform3D(0.75264466, 0, 0.6584267, 0, 1, 0, -0.6584267, 0, 0.75264466, 5.838106, 2.4869175, -4.629671) +shape = SubResource("BoxShape3D_ibe5h") + +[node name="CollisionShape3D3" type="CollisionShape3D" parent="wall"] +transform = Transform3D(0.8391266, 0, -0.5439362, 0, 1, 0, 0.5439362, 0, 0.8391266, 6.5906377, 2.4869175, 4.024478) +shape = SubResource("BoxShape3D_ibe5h") + +[node name="CollisionShape3D4" type="CollisionShape3D" parent="wall"] +transform = Transform3D(0.99750406, 0, 0.07060958, 0, 1, 0, -0.07060958, 0, 0.99750406, -7.758427, 2.4869175, 0.77252126) +shape = SubResource("BoxShape3D_ibe5h") + +[node name="CollisionShape3D5" type="CollisionShape3D" parent="wall"] +transform = Transform3D(-0.7719574, 0, 0.6356739, 0, 1, 0, -0.6356739, 0, -0.7719574, -6.3779674, 2.4869175, -4.6412396) +shape = SubResource("BoxShape3D_ibe5h") + +[node name="CollisionShape3D6" type="CollisionShape3D" parent="wall"] +transform = Transform3D(0.6796589, 0, 0.7335284, 0, 1, 0, -0.7335284, 0, 0.6796589, -5.388394, 2.4869175, 4.7408504) +shape = SubResource("BoxShape3D_ibe5h") + +[node name="lamp1" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.35288334, -0.50462294, -1.8313696) +collision_layer = 4 +collision_mask = 3 + +[node name="Cylinder_012" type="MeshInstance3D" parent="lamp1"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 1.6164029, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_015" type="MeshInstance3D" parent="lamp1"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 3.3729937, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_013" type="MeshInstance3D" parent="lamp1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.1826706, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="Cylinder_014" type="MeshInstance3D" parent="lamp1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 4.723529, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="lamp1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.919507, 2.9247441, 3.1202044) +shape = SubResource("BoxShape3D_rl62x") + +[node name="OmniLight3D" type="OmniLight3D" parent="lamp1"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.8987327, 3.1565928, 3.0119624) +light_color = Color(0.95686275, 0.4117647, 0.043137256, 1) +light_energy = 2.897 + +[node name="lamp3" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -0.89134645, -0.50462294, 0.5576484) +collision_layer = 4 +collision_mask = 3 + +[node name="Cylinder_012" type="MeshInstance3D" parent="lamp3"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 1.6164029, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_015" type="MeshInstance3D" parent="lamp3"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 3.3729937, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_013" type="MeshInstance3D" parent="lamp3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.1826706, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="Cylinder_014" type="MeshInstance3D" parent="lamp3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 4.723529, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="lamp3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.919507, 2.9247441, 3.1202044) +shape = SubResource("BoxShape3D_rl62x") + +[node name="OmniLight3D" type="OmniLight3D" parent="lamp3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.8987327, 3.1565928, 3.0119624) +light_color = Color(0.95686275, 0.4117647, 0.043137256, 1) +light_energy = 2.897 + +[node name="lamp2" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 11.745801, -0.50462294, -1.8313696) +collision_layer = 4 +collision_mask = 3 + +[node name="Cylinder_012" type="MeshInstance3D" parent="lamp2"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 1.6164029, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_015" type="MeshInstance3D" parent="lamp2"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 3.3729937, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_013" type="MeshInstance3D" parent="lamp2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.1826706, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="Cylinder_014" type="MeshInstance3D" parent="lamp2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 4.723529, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="lamp2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.919507, 2.9247441, 3.1202044) +shape = SubResource("BoxShape3D_rl62x") + +[node name="OmniLight3D" type="OmniLight3D" parent="lamp2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.8987327, 3.1565928, 3.0119624) +light_color = Color(0.95686275, 0.4117647, 0.043137256, 1) +light_energy = 2.897 + +[node name="lamp4" type="StaticBody3D" parent="."] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 12.718272, -0.50462294, 0.06093335) +collision_layer = 4 +collision_mask = 3 + +[node name="Cylinder_012" type="MeshInstance3D" parent="lamp4"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 1.6164029, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_015" type="MeshInstance3D" parent="lamp4"] +transform = Transform3D(1, 0, 0, 0, 0, -1, 0, 1, 0, -5.949176, 3.3729937, 3.14148) +mesh = SubResource("ArrayMesh_pchc2") +skeleton = NodePath("") + +[node name="Cylinder_013" type="MeshInstance3D" parent="lamp4"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.1826706, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="Cylinder_014" type="MeshInstance3D" parent="lamp4"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 4.723529, 0) +mesh = SubResource("ArrayMesh_f5owb") +skeleton = NodePath("") + +[node name="CollisionShape3D" type="CollisionShape3D" parent="lamp4"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.919507, 2.9247441, 3.1202044) +shape = SubResource("BoxShape3D_rl62x") + +[node name="OmniLight3D" type="OmniLight3D" parent="lamp4"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, -5.8987327, 3.1565928, 3.0119624) +light_color = Color(0.95686275, 0.4117647, 0.043137256, 1) +light_energy = 2.897 diff --git a/save_image.gd b/save_image.gd new file mode 100644 index 0000000..a74c03e --- /dev/null +++ b/save_image.gd @@ -0,0 +1,14 @@ +extends Node + +func _ready() -> void: + var path := "assets/Images/" + + _check_and_create_dir(path) + + await RenderingServer.frame_post_draw + get_viewport().get_texture().get_image().save_png(path + "img.png") + +func _check_and_create_dir(path: String) -> void: + var dir_path := path.get_base_dir() + if not DirAccess.dir_exists_absolute(dir_path): + DirAccess.make_dir_recursive_absolute(dir_path) diff --git a/save_image.gd.uid b/save_image.gd.uid new file mode 100644 index 0000000..38afdaf --- /dev/null +++ b/save_image.gd.uid @@ -0,0 +1 @@ +uid://daxo7wxhrkiu7 diff --git a/star_animation.gd b/star_animation.gd new file mode 100644 index 0000000..eca14b9 --- /dev/null +++ b/star_animation.gd @@ -0,0 +1,49 @@ +extends Node3D + +var do_rotate = false +var rotation_speed = 0.0 # starting speed +var acceleration = -180.0 # how fast the spin speeds up +var j := 0 + +func _ready() -> void: + $AnimationPlayer.play("move_to_circle") + $audio_portal.play() + +func _process(delta): + if do_rotate: + rotation_speed += acceleration * delta + $TextTilt/Pivot.rotation_degrees.z += rotation_speed * delta + + +func _on_animation_player_animation_finished(anim_name: StringName) -> void: + if anim_name=="move_to_circle": + await get_tree().create_timer(0.5).timeout + $AnimationPlayer.play("move_shuttle") + do_rotate = true + await get_tree().create_timer(3.0).timeout + do_rotate = false + $AnimationPlayer.play("finish") + if anim_name=="finish": + Transition.change_scene("res://Resources/Terrains/chip/terrain_chip.tscn") + + +func _on_animation_player_animation_started(anim_name: StringName) -> void: + if anim_name=="finish": + var tween = create_tween() + tween.tween_property($WorldEnvironment.environment, "background_energy_multiplier", 0.1, 3.0) + + +func _on_audio_portal_finished() -> void: + $audio2.play() + + +func _on_audio_2_finished() -> void: + if j < 2 : + j += 1 + $audio2.play() + else: + $audio3.play() + + +func _on_audio_3_finished() -> void: + $audio4.play() diff --git a/star_animation.gd.uid b/star_animation.gd.uid new file mode 100644 index 0000000..4fed887 --- /dev/null +++ b/star_animation.gd.uid @@ -0,0 +1 @@ +uid://dkwl7d26l0fjl diff --git a/star_animation.tscn b/star_animation.tscn new file mode 100644 index 0000000..0b7d1b8 --- /dev/null +++ b/star_animation.tscn @@ -0,0 +1,1859 @@ +[gd_scene load_steps=36 format=4 uid="uid://d2dyvpvffa2n8"] + +[ext_resource type="Script" uid="uid://dkwl7d26l0fjl" path="res://star_animation.gd" id="1_fhxml"] +[ext_resource type="Texture2D" uid="uid://ckyoqiorxmaf6" path="res://assets/eu_star_high.png" id="2_g66t1"] +[ext_resource type="Texture2D" uid="uid://7qomm2htkxkx" path="res://assets/dot_white.png" id="3_g66t1"] +[ext_resource type="AudioStream" uid="uid://dk66ylmxhrcix" path="res://assets/Sounds/collection1/Movement/Portals and Transitions/sfx_movement_portal1.wav" id="4_751tf"] +[ext_resource type="AudioStream" uid="uid://clgi483gr17pe" path="res://assets/Sounds/collection1/Movement/Portals and Transitions/sfx_movement_portal6.wav" id="5_hgmu3"] +[ext_resource type="AudioStream" uid="uid://b6iw1pe5724cn" path="res://assets/Sounds/collection1/Movement/Portals and Transitions/sfx_movement_portal5.wav" id="6_c3n1j"] +[ext_resource type="AudioStream" uid="uid://cctmko4crvvbr" path="res://assets/Sounds/collection1/Movement/Portals and Transitions/sfx_movement_portal4.wav" id="7_brt3a"] + +[sub_resource type="Animation" id="Animation_fhxml"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("TextTilt/Pivot:rotation") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("TextTilt/Pivot/Stars/Star1:position") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0.014087558, 2.811482, 0.36308765)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true 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name="Sprite3D7" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7775662, 0.6173439, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D8" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 2.1791763, -0.70127285, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D9" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, -2.3082242, -0.32528138, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D10" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1672633, 1.674465, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D11" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 2.8644423, -0.16457343, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D12" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, -1.8582077, 1.1337585, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D13" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 0.36160493, 2.0491812, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D14" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 2.2603402, 2.5561545, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D15" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 3.3195877, 0.9310298, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D16" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, -2.6879656, 1.1337585, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="Sprite3D17" type="Sprite3D" parent="star_dots"] +transform = Transform3D(0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7436898, -5.30764, -0.69243836) +texture = ExtResource("3_g66t1") + +[node name="audio_portal" type="AudioStreamPlayer" parent="."] +stream = ExtResource("4_751tf") +volume_db = -10.0 + +[node name="audio2" type="AudioStreamPlayer" parent="."] +stream = ExtResource("5_hgmu3") +volume_db = -10.0 + +[node name="audio3" type="AudioStreamPlayer" parent="."] +stream = ExtResource("6_c3n1j") +volume_db = -10.0 + +[node name="audio4" type="AudioStreamPlayer" parent="."] +stream = ExtResource("7_brt3a") +volume_db = -10.0 + +[connection signal="animation_finished" from="AnimationPlayer" to="." method="_on_animation_player_animation_finished"] +[connection signal="animation_started" from="AnimationPlayer" to="." method="_on_animation_player_animation_started"] +[connection signal="finished" from="audio_portal" to="." method="_on_audio_portal_finished"] +[connection signal="finished" from="audio2" to="." method="_on_audio_2_finished"] +[connection signal="finished" from="audio3" to="." method="_on_audio_3_finished"] diff --git a/title_screen.gd b/title_screen.gd new file mode 100644 index 0000000..627c325 --- /dev/null +++ b/title_screen.gd @@ -0,0 +1,64 @@ +extends Control + +@onready var player_panel_array = [$Control/Panel4, $Control/Panel2, $Control/Panel3] +@onready var players_turning = [$Panel/SubViewportContainer/SubViewport/Players/Player1/MeshInstance3D, + $Panel/SubViewportContainer/SubViewport/Players/Player2/MeshInstance3D, + $Panel/SubViewportContainer/SubViewport/Players/Player3/MeshInstance3D] + + + +func _ready() -> void: + $AnimationPlayer.play("turning") + +func selected_via_click(chosen_player: int) -> void: + player_panel_array[Global.PlayerSelection].get_theme_stylebox('panel').border_color = Color('cccccc') + players_turning[Global.PlayerSelection].visible = false + Global.PlayerSelection = chosen_player + for i in players_turning[chosen_player].mesh.get_surface_count(): + players_turning[chosen_player].set_surface_override_material(i, null) + player_panel_array[chosen_player].get_theme_stylebox('panel').border_color = Color('30e7f2') + players_turning[Global.PlayerSelection].visible = true + +func _on_button_1_pressed() -> void: + selected_via_click(0) + +func _on_button_2_pressed() -> void: + selected_via_click(1) + +func _on_button_3_pressed() -> void: + selected_via_click(2) + +func _on_start_pressed() -> void: + var mesh = players_turning[Global.PlayerSelection].mesh.duplicate() + + for i in range(mesh.get_surface_count()): + var override_mat = players_turning[Global.PlayerSelection].get_surface_override_material(i) + if override_mat: + mesh.surface_set_material(i, override_mat) + ResourceSaver.save(mesh, "user://player_anim.tres") + + get_tree().change_scene_to_file("res://title_screen_animation.tscn") + + +func _on_line_edit_text_changed(new_text: String) -> void: + Global.player_name = new_text + + +func _on_impressum_pressed() -> void: + $Panel2.visible = true + $Panel2/Label.text = load_text_file('res://Resources/documents/impressum.txt') + + +func _on_datenschutz_pressed() -> void: + $Panel2.visible = true + $Panel2/Label.text = load_text_file('res://Resources/documents/datenschutz.txt') + + +func _on_button_pressed() -> void: + $Panel2.visible = false + + +func load_text_file(path: String): + var file = FileAccess.open(path, FileAccess.READ) + var content = file.get_as_text() + return content diff --git a/title_screen.gd.uid b/title_screen.gd.uid new file mode 100644 index 0000000..6d17b38 --- /dev/null +++ b/title_screen.gd.uid @@ -0,0 +1 @@ +uid://crw0j5r7h0f2y diff --git a/title_screen.tscn b/title_screen.tscn new file mode 100644 index 0000000..ed4ada6 --- /dev/null +++ b/title_screen.tscn @@ -0,0 +1,583 @@ +[gd_scene load_steps=26 format=3 uid="uid://bkxjs7ullu1dr"] + +[ext_resource type="Script" uid="uid://crw0j5r7h0f2y" path="res://title_screen.gd" id="1_8vmu4"] +[ext_resource type="ArrayMesh" uid="uid://cnkc0coob8mu" path="res://Resources/meshes/player_uniGW2.tres" id="2_xfn3p"] +[ext_resource type="Script" uid="uid://tdnefmqvcmc7" path="res://mesh_astronaut.gd" id="3_rhgbh"] +[ext_resource type="ArrayMesh" uid="uid://bixd3h6sjc3wm" path="res://Resources/meshes/player_eu2.tres" id="4_skmiq"] +[ext_resource type="ArrayMesh" uid="uid://dfluqoosh7k2p" path="res://Resources/meshes/player_gain2.tres" id="5_lf08s"] +[ext_resource type="Texture2D" uid="uid://doimhgg8lnk87" path="res://assets/Images/Signet2018-RGB-gross.jpg" id="6_n1yhu"] +[ext_resource type="Texture2D" uid="uid://dcc4obte72vjb" path="res://assets/Images/EU_AI_Act_logo_main.png" id="7_q7w76"] +[ext_resource type="Texture2D" uid="uid://bj8jcfeaakxlw" path="res://assets/Images/DataScience_logo_small.png" id="8_wot2p"] +[ext_resource type="Texture2D" uid="uid://b0ym0c3w67rhi" path="res://assets/Gain_Logo_RGB.png" id="9_kvwfe"] +[ext_resource type="AudioStream" uid="uid://cyxaxp30xuhnm" path="res://assets/Sounds/Peachtea - Somewhere in the Elevator.wav" id="10_xfn3p"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ak2if"] +bg_color = Color(1, 1, 1, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_d4505"] +bg_color = Color(0.550195, 0.681866, 1, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_efoot"] +draw_center = false + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_46sda"] +bg_color = Color(0.578181, 0.264114, 0.329346, 1) + +[sub_resource type="StyleBoxEmpty" id="StyleBoxEmpty_ed5hy"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_5yj1t"] +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_color = Color(0.188235, 0.905882, 0.94902, 1) +border_blend = true + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_qa4ex"] +bg_color = Color(0.00392157, 0.384314, 0.686275, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_greuj"] +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_blend = true + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ed5hy"] +bg_color = Color(1, 0.917647, 0.235294, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_uuvge"] +bg_color = Color(1, 1, 1, 1) +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_blend = true + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_41gjk"] +bg_color = Color(0.52549, 0.737255, 0.145098, 1) + +[sub_resource type="Animation" id="Animation_ed5hy"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/Players:rotation") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} + +[sub_resource type="Animation" id="Animation_46sda"] +resource_name = "turning" +length = 3.0 +loop_mode = 1 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/Players:rotation") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 3), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 0, 0), Vector3(0, -6.28319, 0)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_41gjk"] +_data = { +&"RESET": SubResource("Animation_ed5hy"), +&"turning": SubResource("Animation_46sda") +} + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_n7scn"] +bg_color = Color(1, 1, 1, 1) + +[node name="TitleScreen" type="Control"] +layout_mode = 3 +anchors_preset = 0 +offset_right = 1920.0 +offset_bottom = 1050.0 +script = ExtResource("1_8vmu4") + +[node name="PanelContainer" type="PanelContainer" parent="."] +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1050.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_ak2if") + +[node name="Start" type="Button" parent="."] +layout_mode = 0 +offset_left = 818.0 +offset_top = 850.0 +offset_right = 1068.0 +offset_bottom = 950.0 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_d4505") +text = "Start" + +[node name="Panel" type="Panel" parent="."] +layout_mode = 0 +offset_left = 228.0 +offset_top = 479.0 +offset_right = 488.0 +offset_bottom = 909.0 +scale = Vector2(1.2, 1.2) +theme_override_styles/panel = SubResource("StyleBoxFlat_efoot") + +[node name="Spieler1" type="Label" parent="Panel"] +layout_mode = 0 +offset_left = -20.8333 +offset_top = -70.0 +offset_right = 253.0 +offset_bottom = -3.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_46sda") +horizontal_alignment = 1 + +[node name="LineEdit" type="LineEdit" parent="Panel/Spieler1"] +layout_mode = 0 +offset_right = 274.167 +offset_bottom = 67.0 +theme_override_font_sizes/font_size = 40 +theme_override_styles/normal = SubResource("StyleBoxEmpty_ed5hy") +placeholder_text = "Name wählen..." +alignment = 1 +caret_blink = true + +[node name="SubViewportContainer" type="SubViewportContainer" parent="Panel"] +layout_mode = 0 +offset_left = -64.1667 +offset_top = 25.8333 +offset_right = 235.833 +offset_bottom = 325.833 +scale = Vector2(1.2, 1.2) + +[node name="SubViewport" type="SubViewport" parent="Panel/SubViewportContainer"] +transparent_bg = true +handle_input_locally = false +size = Vector2i(300, 300) +render_target_update_mode = 4 + +[node name="Camera3D" type="Camera3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, 0, 0.131541, -4.76701) +projection = 1 +size = 2.1 + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="Panel/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, -0.696765, 0.7173, 0, -0.7173, -0.696765, 0, 13.6843, -17.9844) +light_energy = 0.1 + +[node name="Players" type="Node3D" parent="Panel/SubViewportContainer/SubViewport"] + +[node name="Player1" type="Node3D" parent="Panel/SubViewportContainer/SubViewport/Players"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.00170112, 0, 0) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Panel/SubViewportContainer/SubViewport/Players/Player1"] +transform = Transform3D(-1, 0, -1.50996e-07, 0, 1, 0, 1.50996e-07, 0, -1, 0, -0.93169, 0) +mesh = ExtResource("2_xfn3p") +skeleton = NodePath("") +script = ExtResource("3_rhgbh") + +[node name="Player2" type="Node3D" parent="Panel/SubViewportContainer/SubViewport/Players"] +transform = Transform3D(-1, 0, -1.50996e-07, 0, 1, 0, 1.50996e-07, 0, -1, -0.00275302, 0.489042, 0.0119929) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Panel/SubViewportContainer/SubViewport/Players/Player2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -1.42555, 0) +visible = false +mesh = ExtResource("4_skmiq") +script = ExtResource("3_rhgbh") + +[node name="Player3" type="Node3D" parent="Panel/SubViewportContainer/SubViewport/Players"] +transform = Transform3D(-1, 0, -1.50996e-07, 0, 1, 0, 1.50996e-07, 0, -1, 0.00192738, 0.490706, 0.00133753) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Panel/SubViewportContainer/SubViewport/Players/Player3"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -1.42555, 0) +visible = false +mesh = ExtResource("5_lf08s") +script = ExtResource("3_rhgbh") + +[node name="Control" type="Control" parent="."] +anchors_preset = 0 +offset_left = 482.0 +offset_right = 522.0 +offset_bottom = 40.0 + +[node name="Panel4" type="Panel" parent="Control"] +layout_mode = 0 +offset_left = 233.0 +offset_top = 532.0 +offset_right = 493.0 +offset_bottom = 962.0 +scale = Vector2(0.5, 0.5) +theme_override_styles/panel = SubResource("StyleBoxFlat_5yj1t") + +[node name="Spieler1" type="Label" parent="Control/Panel4"] +layout_mode = 0 +offset_left = 18.0 +offset_top = 15.0 +offset_right = 243.0 +offset_bottom = 82.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_qa4ex") +text = "Uni GW" +horizontal_alignment = 1 + +[node name="SubViewportContainer" type="SubViewportContainer" parent="Control/Panel4"] +layout_mode = 0 +offset_left = -23.0 +offset_top = 109.0 +offset_right = 277.0 +offset_bottom = 409.0 + +[node name="SubViewport" type="SubViewport" parent="Control/Panel4/SubViewportContainer"] +transparent_bg = true +handle_input_locally = false +size = Vector2i(300, 300) +render_target_update_mode = 4 + +[node name="Node3D" type="Node3D" parent="Control/Panel4/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 5.93985, 0, 0) + +[node name="Cube" type="MeshInstance3D" parent="Control/Panel4/SubViewportContainer/SubViewport/Node3D"] +transform = Transform3D(-1, 0, -1.50996e-07, 0, 1, 0, 1.50996e-07, 0, -1, 0, -0.946057, 0) +mesh = ExtResource("2_xfn3p") +skeleton = NodePath("") + +[node name="Camera3D" type="Camera3D" parent="Control/Panel4/SubViewportContainer/SubViewport"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, 5.93985, 0.0489757, -4.76701) +projection = 1 +size = 2.0 + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="Control/Panel4/SubViewportContainer/SubViewport"] +transform = Transform3D(1, 0, 0, 0, -0.696765, 0.7173, 0, -0.7173, -0.696765, 5.93985, 13.6843, -17.9844) +light_energy = 0.1 + +[node name="Button1" type="Button" parent="Control/Panel4"] +layout_mode = 0 +offset_right = 260.0 +offset_bottom = 430.0 +flat = true + +[node name="Panel2" type="Panel" parent="Control"] +layout_mode = 0 +offset_left = 385.0 +offset_top = 532.0 +offset_right = 645.0 +offset_bottom = 962.0 +scale = Vector2(0.5, 0.5) +theme_override_styles/panel = SubResource("StyleBoxFlat_greuj") + +[node name="SubViewportContainer2" type="SubViewportContainer" parent="Control/Panel2"] +layout_mode = 0 +offset_left = -21.0 +offset_top = 116.0 +offset_right = 279.0 +offset_bottom = 416.0 + +[node name="SubViewport2" type="SubViewport" parent="Control/Panel2/SubViewportContainer2"] +transparent_bg = true +handle_input_locally = false +size = Vector2i(300, 300) +render_target_update_mode = 4 + +[node name="Node3D2" type="Node3D" parent="Control/Panel2/SubViewportContainer2/SubViewport2"] +transform = Transform3D(-1, 0, -1.50996e-07, 0, 1, 0, 1.50996e-07, 0, -1, -6.36279, 0.0123326, 0.0119929) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Control/Panel2/SubViewportContainer2/SubViewport2/Node3D2"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.952904, 0) +mesh = ExtResource("4_skmiq") + +[node name="Camera3D" type="Camera3D" parent="Control/Panel2/SubViewportContainer2/SubViewport2"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -6.32067, 0.04847, -4.76701) +projection = 1 +size = 2.0 + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="Control/Panel2/SubViewportContainer2/SubViewport2"] +transform = Transform3D(1, 0, 0, 0, -0.696765, 0.7173, 0, -0.7173, -0.696765, -7.60029, 13.6843, -17.9844) +light_energy = 0.1 + +[node name="Spieler2" type="Label" parent="Control/Panel2"] +layout_mode = 0 +offset_left = 17.0 +offset_top = 15.0 +offset_right = 242.0 +offset_bottom = 90.0 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_ed5hy") +text = "EU" +horizontal_alignment = 1 + +[node name="Button2" type="Button" parent="Control/Panel2"] +layout_mode = 0 +offset_right = 260.0 +offset_bottom = 430.0 +flat = true + +[node name="Panel3" type="Panel" parent="Control"] +layout_mode = 0 +offset_left = 541.0 +offset_top = 532.0 +offset_right = 801.0 +offset_bottom = 962.0 +scale = Vector2(0.5, 0.5) +theme_override_styles/panel = SubResource("StyleBoxFlat_uuvge") + +[node name="Spieler3" type="Label" parent="Control/Panel3"] +layout_mode = 0 +offset_left = 18.0 +offset_top = 15.0 +offset_right = 243.0 +offset_bottom = 90.0 +theme_override_font_sizes/font_size = 48 +theme_override_styles/normal = SubResource("StyleBoxFlat_41gjk") +text = "GAIN " +horizontal_alignment = 1 + +[node name="SubViewportContainer3" type="SubViewportContainer" parent="Control/Panel3"] +layout_mode = 0 +offset_left = -26.0 +offset_top = 118.0 +offset_right = 274.0 +offset_bottom = 418.0 + +[node name="SubViewport2" type="SubViewport" parent="Control/Panel3/SubViewportContainer3"] +transparent_bg = true +handle_input_locally = false +size = Vector2i(300, 300) +render_target_update_mode = 4 + +[node name="Node3D" type="Node3D" parent="Control/Panel3/SubViewportContainer3/SubViewport2"] +transform = Transform3D(-1, 0, -1.50996e-07, 0, 1, 0, 1.50996e-07, 0, -1, -13.2439, 0.00647748, -0.0125639) + +[node name="MeshInstance3D" type="MeshInstance3D" parent="Control/Panel3/SubViewportContainer3/SubViewport2/Node3D"] +transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.941868, -0.0178738) +mesh = ExtResource("5_lf08s") + +[node name="Camera3D" type="Camera3D" parent="Control/Panel3/SubViewportContainer3/SubViewport2"] +transform = Transform3D(-1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, -13.1745, 0.112365, -4.76701) +projection = 1 +size = 2.1 + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="Control/Panel3/SubViewportContainer3/SubViewport2"] +transform = Transform3D(1, 0, 0, 0, -0.696765, 0.7173, 0, -0.7173, -0.696765, -14.1894, 13.6843, -17.9844) + +[node name="Button3" type="Button" parent="Control/Panel3"] +layout_mode = 0 +offset_right = 260.0 +offset_bottom = 430.0 +flat = true + +[node name="Label" type="Label" parent="Control"] +layout_mode = 0 +offset_left = 267.0 +offset_top = 392.0 +offset_right = 624.0 +offset_bottom = 459.0 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 48 +text = "Vorlage wählen" + +[node name="Label2" type="Label" parent="Control"] +layout_mode = 0 +offset_left = 825.0 +offset_top = 731.0 +offset_right = 1412.0 +offset_bottom = 798.0 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 36 +text = "(optional: Farben personalisieren)" + +[node name="Signet2018RgbGross" type="Sprite2D" parent="."] +position = Vector2(963, 89) +scale = Vector2(0.4, 0.4) +texture = ExtResource("6_n1yhu") + +[node name="EuAiActLogoMain" type="Sprite2D" parent="."] +position = Vector2(276, 93) +scale = Vector2(0.6, 0.6) +texture = ExtResource("7_q7w76") + +[node name="DataScienceLogoSmall" type="Sprite2D" parent="."] +position = Vector2(1432, 94) +texture = ExtResource("8_wot2p") + +[node name="GainLogoRgb" type="Sprite2D" parent="."] +position = Vector2(1783, 103) +scale = Vector2(0.15, 0.15) +texture = ExtResource("9_kvwfe") + +[node name="title" type="RichTextLabel" parent="."] +layout_mode = 0 +offset_left = 620.0 +offset_top = 193.0 +offset_right = 1420.0 +offset_bottom = 293.0 +theme_override_colors/default_color = Color(0, 0, 0, 1) +theme_override_constants/outline_size = 3 +theme_override_font_sizes/normal_font_size = 58 +text = "Spielerisches AI Act Training" + +[node name="welcome" type="RichTextLabel" parent="."] +layout_mode = 0 +offset_left = 270.0 +offset_top = 273.0 +offset_right = 1730.0 +offset_bottom = 331.0 +theme_override_colors/default_color = Color(0, 0, 0, 1) +theme_override_font_sizes/normal_font_size = 32 +text = "Herzlich Willkommen! Suchen Sie sich Ihre Spielfigur aus und lernen Sie den EU AI Act kennen." + +[node name="copyright" type="RichTextLabel" parent="."] +layout_mode = 0 +offset_left = 12.0 +offset_top = 1002.0 +offset_right = 512.0 +offset_bottom = 1052.0 +theme_override_colors/default_color = Color(0, 0, 0, 1) +text = "Verfügbar unter Lizenz GNU GPLv3 +https://git.uni-greifswald.de/GAIM/gaim" + +[node name="impressum" type="Button" parent="."] +layout_mode = 0 +offset_left = 1614.0 +offset_top = 1017.0 +offset_right = 1714.0 +offset_bottom = 1048.0 +text = "Impressum" + +[node name="datenschutz" type="Button" parent="."] +layout_mode = 0 +offset_left = 1719.0 +offset_top = 1017.0 +offset_right = 1917.0 +offset_bottom = 1048.0 +text = "Datenschutzinformation" + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_41gjk") +} + +[node name="Control2" type="Control" parent="."] +anchors_preset = 0 +offset_left = 1303.0 +offset_top = 774.0 +offset_right = 1601.0 +offset_bottom = 774.0 + +[node name="ColorPicker" type="ColorPicker" parent="Control2"] +layout_mode = 0 +offset_left = -8.0 +offset_top = -298.0 +offset_right = 290.0 +offset_bottom = 309.0 +scale = Vector2(0.9, 0.9) +picker_shape = 2 +sampler_visible = false +color_modes_visible = false +sliders_visible = false +hex_visible = false +presets_visible = false + +[node name="Label" type="Label" parent="Control2"] +visible = false +layout_mode = 0 +offset_left = -6.0 +offset_top = 9.0 +offset_right = 281.0 +offset_bottom = 76.0 +scale = Vector2(0.9, 0.9) +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 42 +text = "Farbe Anzug" + +[node name="Control3" type="Control" parent="."] +anchors_preset = 0 +offset_left = 1572.0 +offset_top = 738.0 +offset_right = 1870.0 +offset_bottom = 738.0 +scale = Vector2(0.9, 0.9) + +[node name="ColorPicker2" type="ColorPicker" parent="Control3"] +layout_mode = 0 +offset_left = 10.0 +offset_top = -290.0 +offset_right = 308.0 +offset_bottom = 317.0 +picker_shape = 2 +sampler_visible = false +color_modes_visible = false +sliders_visible = false +hex_visible = false +presets_visible = false + +[node name="Label" type="Label" parent="Control3"] +visible = false +layout_mode = 0 +offset_left = 9.99995 +offset_top = 48.8889 +offset_right = 314.0 +offset_bottom = 115.889 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 42 +text = "Farbe Details" + +[node name="Panel2" type="Panel" parent="."] +visible = false +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1050.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_n7scn") + +[node name="Label" type="RichTextLabel" parent="Panel2"] +custom_minimum_size = Vector2(500, 100) +layout_mode = 0 +offset_right = 1920.0 +offset_bottom = 1050.0 +size_flags_horizontal = 3 +theme_override_colors/default_color = Color(0, 0, 0, 1) +theme_override_font_sizes/normal_font_size = 24 +theme_override_font_sizes/bold_font_size = 24 +theme_override_font_sizes/italics_font_size = 24 +bbcode_enabled = true +text = "test" + +[node name="Button" type="Button" parent="Panel2"] +layout_mode = 0 +offset_left = 1887.0 +offset_right = 1913.0 +offset_bottom = 53.0 +theme_override_font_sizes/font_size = 32 +text = "x" + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("10_xfn3p") +volume_db = -10.0 +autoplay = true + +[connection signal="pressed" from="Start" to="." method="_on_start_pressed"] +[connection signal="text_changed" from="Panel/Spieler1/LineEdit" to="." method="_on_line_edit_text_changed"] +[connection signal="pressed" from="Control/Panel4/Button1" to="." method="_on_button_1_pressed"] +[connection signal="pressed" from="Control/Panel2/Button2" to="." method="_on_button_2_pressed"] +[connection signal="pressed" from="Control/Panel3/Button3" to="." method="_on_button_3_pressed"] +[connection signal="pressed" from="impressum" to="." method="_on_impressum_pressed"] +[connection signal="pressed" from="datenschutz" to="." method="_on_datenschutz_pressed"] +[connection signal="color_changed" from="Control2/ColorPicker" to="Panel/SubViewportContainer/SubViewport/Players/Player1/MeshInstance3D" method="_on_color_picker_color_changed"] +[connection signal="color_changed" from="Control2/ColorPicker" to="Panel/SubViewportContainer/SubViewport/Players/Player2/MeshInstance3D" method="_on_color_picker_color_changed"] +[connection signal="color_changed" from="Control2/ColorPicker" to="Panel/SubViewportContainer/SubViewport/Players/Player3/MeshInstance3D" method="_on_color_picker_color_changed"] +[connection signal="color_changed" from="Control3/ColorPicker2" to="Panel/SubViewportContainer/SubViewport/Players/Player1/MeshInstance3D" method="_on_color_picker_2_color_changed"] +[connection signal="color_changed" from="Control3/ColorPicker2" to="Panel/SubViewportContainer/SubViewport/Players/Player2/MeshInstance3D" method="_on_color_picker_2_color_changed"] +[connection signal="color_changed" from="Control3/ColorPicker2" to="Panel/SubViewportContainer/SubViewport/Players/Player3/MeshInstance3D" method="_on_color_picker_2_color_changed"] +[connection signal="pressed" from="Panel2/Button" to="." method="_on_button_pressed"] diff --git a/title_screen_animation.gd b/title_screen_animation.gd new file mode 100644 index 0000000..942a616 --- /dev/null +++ b/title_screen_animation.gd @@ -0,0 +1,21 @@ +extends Control + +func _ready() -> void: + DialogueManager.dialogue_ended.connect(_on_dialogue_ended) + $Panel/SubViewportContainer/SubViewport/Player/astronaut/Armature/Skeleton3D/Cube_001.mesh = load(Global.mesh_resource_player) + $Panel/Spieler1/LineEdit.text = Global.player_name + +func _on_animation_player_animation_finished(anim_name: StringName) -> void: + print('changning animation') + if anim_name=="move_oof": + $AnimationPlayer2.play("turn_and_walk") + $Panel/SubViewportContainer/SubViewport/Player/astronaut/AnimationPlayer.play("walk") + elif anim_name == "turn_and_walk": + DialogueManager.show_chosen_dialogue_balloon(load("res://Interact/dialogue/albatross.dialogue"), "/game_balloons/game_balloon_v_3.tscn", "start") + $AudioStreamPlayer.volume_db = -20.0 + elif anim_name=="finish": + Transition.change_scene("res://ai_act_float_text.tscn") + +func _on_dialogue_ended(_resource: DialogueResource) -> void: + $AnimationPlayer2.play("finish") + $AudioStreamPlayer.volume_db = -10.0 diff --git a/title_screen_animation.gd.uid b/title_screen_animation.gd.uid new file mode 100644 index 0000000..87dee2f --- /dev/null +++ b/title_screen_animation.gd.uid @@ -0,0 +1 @@ +uid://d3wrvbkfexs1h diff --git a/title_screen_animation.tscn b/title_screen_animation.tscn new file mode 100644 index 0000000..4e70f78 --- /dev/null +++ b/title_screen_animation.tscn @@ -0,0 +1,1412 @@ +[gd_scene load_steps=52 format=4 uid="uid://ck3yp54mtg8jx"] + +[ext_resource type="Script" uid="uid://d3wrvbkfexs1h" path="res://title_screen_animation.gd" id="1_qfk5l"] +[ext_resource type="PackedScene" uid="uid://drtpl8y1pojrc" path="res://Resources/Players/astronaut_for_animation.tscn" id="2_ecfph"] +[ext_resource type="ArrayMesh" uid="uid://cnkc0coob8mu" path="res://Resources/meshes/player_uniGW2.tres" id="3_1ggd8"] +[ext_resource type="Texture2D" uid="uid://doimhgg8lnk87" path="res://assets/Images/Signet2018-RGB-gross.jpg" id="3_b8xci"] +[ext_resource type="Texture2D" uid="uid://dcc4obte72vjb" path="res://assets/Images/EU_AI_Act_logo_main.png" id="4_ecfph"] +[ext_resource type="ArrayMesh" uid="uid://bixd3h6sjc3wm" path="res://Resources/meshes/player_eu2.tres" id="4_rbr0u"] +[ext_resource type="ArrayMesh" uid="uid://dfluqoosh7k2p" path="res://Resources/meshes/player_gain2.tres" id="5_f850f"] +[ext_resource type="Texture2D" uid="uid://b0ym0c3w67rhi" path="res://assets/Gain_Logo_RGB.png" id="6_rbr0u"] +[ext_resource type="Texture2D" uid="uid://bj8jcfeaakxlw" path="res://assets/Images/DataScience_logo_small.png" id="8_ecfph"] +[ext_resource type="AudioStream" uid="uid://cyxaxp30xuhnm" path="res://assets/Sounds/Peachtea - Somewhere in the Elevator.wav" id="10_1ggd8"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_ak2if"] +bg_color = Color(1, 1, 1, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_d4505"] +bg_color = Color(0.5254902, 0.7372549, 0.14509805, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_efoot"] +draw_center = false + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_46sda"] +bg_color = Color(0.36078432, 0.16470589, 0.40392157, 1) + +[sub_resource type="StyleBoxEmpty" id="StyleBoxEmpty_ed5hy"] + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_412f6"] +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_color = Color(0.188235, 0.905882, 0.94902, 1) +border_blend = true + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_mlgwy"] +bg_color = Color(0.00392157, 0.384314, 0.686275, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_7mqjj"] +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_blend = true + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_jp5jc"] +bg_color = Color(1, 0.917647, 0.235294, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_r7fqo"] +bg_color = Color(1, 1, 1, 1) +draw_center = false +border_width_left = 8 +border_width_top = 8 +border_width_right = 8 +border_width_bottom = 8 +border_blend = true + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_03viw"] +bg_color = Color(0.52549, 0.737255, 0.145098, 1) + +[sub_resource type="StyleBoxFlat" id="StyleBoxFlat_psta2"] +bg_color = Color(1, 1, 1, 0) + +[sub_resource type="Animation" id="Animation_ed5hy"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/Player:rotation") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} + +[sub_resource type="Animation" id="Animation_46sda"] +resource_name = "turning" +length = 3.0 +loop_mode = 1 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Panel/SubViewportContainer/SubViewport/Player:rotation") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0, 3), +"transitions": PackedFloat32Array(1, 1), +"update": 0, +"values": [Vector3(0, 0, 0), Vector3(0, -6.2831855, 0)] +} + +[sub_resource type="AnimationLibrary" id="AnimationLibrary_41gjk"] +_data = { +&"RESET": SubResource("Animation_ed5hy"), +&"turning": SubResource("Animation_46sda") +} + +[sub_resource type="Animation" id="Animation_8m03s"] +length = 0.001 +tracks/0/type = "value" +tracks/0/imported = false +tracks/0/enabled = true +tracks/0/path = NodePath("Start:position") +tracks/0/interp = 1 +tracks/0/loop_wrap = true +tracks/0/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector2(818, 850)] +} +tracks/1/type = "value" +tracks/1/imported = false +tracks/1/enabled = true +tracks/1/path = NodePath("Header:position") +tracks/1/interp = 1 +tracks/1/loop_wrap = true +tracks/1/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector2(0, 0)] +} +tracks/2/type = "value" +tracks/2/imported = false +tracks/2/enabled = true +tracks/2/path = NodePath("ColorWheels:position") +tracks/2/interp = 1 +tracks/2/loop_wrap = true +tracks/2/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector2(0, 0)] +} +tracks/3/type = "value" +tracks/3/imported = false +tracks/3/enabled = true +tracks/3/path = NodePath("Foot:position") +tracks/3/interp = 1 +tracks/3/loop_wrap = true +tracks/3/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector2(228, 479.00003)] +} +tracks/4/type = "value" +tracks/4/imported = false +tracks/4/enabled = true +tracks/4/path = NodePath("Vorlagen/Panel:theme_override_styles/panel:bg_color") +tracks/4/interp = 1 +tracks/4/loop_wrap = true +tracks/4/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Color(1, 1, 1, 0)] +} +tracks/5/type = "value" +tracks/5/imported = false +tracks/5/enabled = true +tracks/5/path = NodePath("Panel/Spieler1:theme_override_styles/normal:bg_color") +tracks/5/interp = 1 +tracks/5/loop_wrap = true +tracks/5/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Color(0.36078432, 0.16470589, 0.40392157, 1)] +} +tracks/6/type = "value" +tracks/6/imported = false +tracks/6/enabled = true +tracks/6/path = NodePath("Shuttle:position") +tracks/6/interp = 1 +tracks/6/loop_wrap = true +tracks/6/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector2(2089, 46)] +} +tracks/7/type = "value" +tracks/7/imported = false +tracks/7/enabled = true +tracks/7/path = NodePath("PanelContainer:theme_override_styles/panel:bg_color") +tracks/7/interp = 1 +tracks/7/loop_wrap = true +tracks/7/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Color(1, 1, 1, 1)] +} +tracks/8/type = "value" +tracks/8/imported = false +tracks/8/enabled = true +tracks/8/path = NodePath("Panel/SubViewportContainer/SubViewport/Player:rotation") +tracks/8/interp = 1 +tracks/8/loop_wrap = true +tracks/8/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector3(0, 0, 0)] +} +tracks/9/type = "value" +tracks/9/imported = false +tracks/9/enabled = true +tracks/9/path = NodePath("Panel:position") +tracks/9/interp = 1 +tracks/9/loop_wrap = true +tracks/9/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector2(228, 479.00003)] +} +tracks/10/type = "value" +tracks/10/imported = false +tracks/10/enabled = true +tracks/10/path = NodePath("Panel:scale") +tracks/10/interp = 1 +tracks/10/loop_wrap = true +tracks/10/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 0, +"values": [Vector2(1.2, 1.2)] +} +tracks/11/type = "value" +tracks/11/imported = false +tracks/11/enabled = true +tracks/11/path = NodePath("Vorlagen:visible") +tracks/11/interp = 1 +tracks/11/loop_wrap = true +tracks/11/keys = { +"times": PackedFloat32Array(0), +"transitions": PackedFloat32Array(1), +"update": 1, +"values": [false] +} +tracks/12/type = "value" +tracks/12/imported = false +tracks/12/enabled = true +tracks/12/path = 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Suchen Sie sich Ihre Spielfigur aus und lernen sie den EU AI Act kennen" + +[node name="Foot" type="Control" parent="."] +anchors_preset = 0 +offset_left = 228.0 +offset_top = 479.00003 +offset_right = 268.0 +offset_bottom = 519.0006 + +[node name="copyright" type="RichTextLabel" parent="Foot"] +layout_mode = 0 +offset_left = -211.0 +offset_top = 561.0 +offset_right = 289.0 +offset_bottom = 586.0 +theme_override_colors/default_color = Color(0, 0, 0, 1) +text = "copyright Universität Greifswald (übernehmen keine Haftung)" + +[node name="description" type="RichTextLabel" parent="Foot"] +layout_mode = 0 +offset_left = 447.0 +offset_top = 549.0 +offset_right = 1689.0 +offset_bottom = 589.0 +theme_override_colors/default_color = Color(0, 0, 0, 1) +theme_override_font_sizes/normal_font_size = 24 +text = "Ein Tool entwickelt von der Universität Greifswald zum spielerischen Verstehen / Entdecken des EU AI Acts" + +[node name="AnimationPlayer" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_41gjk") +} + +[node name="AnimationPlayer2" type="AnimationPlayer" parent="."] +libraries = { +&"": SubResource("AnimationLibrary_b8xci") +} +autoplay = "move_oof" + +[node name="ColorWheels" type="Control" parent="."] +anchors_preset = 0 +offset_right = 40.00025 +offset_bottom = 40.0 + +[node name="Control3" type="Control" parent="ColorWheels"] +anchors_preset = 0 +offset_left = 1572.0 +offset_top = 738.0 +offset_right = 1870.0 +offset_bottom = 738.0 +scale = Vector2(0.9, 0.9) + +[node name="ColorPicker2" type="ColorPicker" parent="ColorWheels/Control3"] +layout_mode = 0 +offset_top = -241.1111 +offset_right = 298.0 +offset_bottom = 365.88892 +picker_shape = 2 +sampler_visible = false +color_modes_visible = false +sliders_visible = false +hex_visible = false +presets_visible = false + +[node name="Label" type="Label" parent="ColorWheels/Control3"] +visible = false +layout_mode = 0 +offset_left = 9.999947 +offset_top = 48.888878 +offset_right = 313.99994 +offset_bottom = 115.88888 +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 42 +text = "Farbe Details" + +[node name="Control2" type="Control" parent="ColorWheels"] +anchors_preset = 0 +offset_left = 1303.0 +offset_top = 774.0 +offset_right = 1601.0 +offset_bottom = 774.0 + +[node name="ColorPicker" type="ColorPicker" parent="ColorWheels/Control2"] +layout_mode = 0 +offset_left = -17.0 +offset_top = -254.0 +offset_right = 281.0 +offset_bottom = 353.0 +scale = Vector2(0.9, 0.9) +picker_shape = 2 +sampler_visible = false +color_modes_visible = false +sliders_visible = false +hex_visible = false +presets_visible = false + +[node name="Label" type="Label" parent="ColorWheels/Control2"] +visible = false +layout_mode = 0 +offset_left = -6.0 +offset_top = 9.0 +offset_right = 281.0 +offset_bottom = 76.0 +scale = Vector2(0.9, 0.9) +theme_override_colors/font_color = Color(0, 0, 0, 1) +theme_override_font_sizes/font_size = 42 +text = "Farbe Anzug" + +[node name="Panel" type="Panel" parent="ColorWheels"] +layout_mode = 0 +offset_left = 1332.0 +offset_top = 388.0 +offset_right = 1827.0 +offset_bottom = 478.0 +theme_override_styles/panel = SubResource("StyleBoxFlat_il7c6") + +[node name="Button" type="Button" parent="ColorWheels/Panel"] +layout_mode = 0 +offset_left = 9.0 +offset_top = 11.0 +offset_right = 484.0 +offset_bottom = 77.0 +theme_override_font_sizes/font_size = 42 +text = "Farben personalisieren" + +[node name="Shuttle" type="SubViewportContainer" parent="."] +layout_mode = 0 +offset_left = 2089.0 +offset_top = 46.0 +offset_right = 2599.0002 +offset_bottom = 1046.0001 + +[node name="SubViewport" type="SubViewport" parent="Shuttle"] +transparent_bg = true +handle_input_locally = false +size = Vector2i(510, 1000) +render_target_update_mode = 4 + +[node name="Icosphere" type="MeshInstance3D" parent="Shuttle/SubViewport"] +transform = Transform3D(-1.6119791, 0, -1.4092369e-07, 0, 1.894021, 0, 1.4092369e-07, 0, -1.6119791, 20.757092, -0.055563927, -25.338842) +mesh = SubResource("ArrayMesh_8m03s") +skeleton = NodePath("") + +[node name="Cylinder_025" type="MeshInstance3D" parent="Shuttle/SubViewport"] +transform = Transform3D(-0.99999994, 0, -8.742277e-08, 0, 1, 0, 8.742277e-08, 0, -0.99999994, 20.632683, 6.470854, -25.33884) +visible = false +mesh = SubResource("ArrayMesh_qfk5l") +skeleton = NodePath("") + +[node name="Camera3D" type="Camera3D" parent="Shuttle/SubViewport"] +transform = Transform3D(-0.9588495, -0.016526327, -0.28343368, 5.088767e-09, 0.9983045, -0.05820872, 0.28391507, -0.0558134, -0.9572237, 14.8552475, 5.776886, -46.54817) +projection = 1 +size = 19.519 + +[node name="DirectionalLight3D" type="DirectionalLight3D" parent="Shuttle/SubViewport"] +transform = Transform3D(1, 0, 0, 0, -0.6967646, 0.7172999, 0, -0.7172999, -0.6967646, 23.955053, 19.793007, -34.247322) +light_energy = 0.1 + +[node name="Cylinder_048" type="MeshInstance3D" parent="Shuttle/SubViewport"] +transform = Transform3D(-0.45347726, 0, -0.8912678, 0, 1, 0, 0.8912678, 0, -0.45347726, 20.622784, 5.2082386, -25.433052) +mesh = SubResource("ArrayMesh_b8xci") +skeleton = NodePath("") + +[node name="Cylinder_001" type="MeshInstance3D" parent="Shuttle/SubViewport"] +transform = Transform3D(0, -0.22673863, -0.8912678, -1, 0, 0, 0, 0.4456339, -0.45347726, 19.706902, 8.578726, -23.632969) +mesh = SubResource("ArrayMesh_ecfph") +skeleton = NodePath("") + +[node name="Cylinder_002" type="MeshInstance3D" parent="Shuttle/SubViewport"] +transform = Transform3D(0, 0.22673863, -0.8912678, 1, 0, 0, 0, -0.4456339, -0.45347726, 21.589779, 8.578726, -27.333591) +mesh = SubResource("ArrayMesh_1ggd8") +skeleton = NodePath("") + +[node name="AudioStreamPlayer" type="AudioStreamPlayer" parent="."] +stream = ExtResource("10_1ggd8") +volume_db = -10.0 +autoplay = true + +[connection signal="pressed" from="Start" to="." method="_on_start_pressed"] +[connection signal="animation_finished" from="AnimationPlayer2" to="." method="_on_animation_player_animation_finished"] +[connection signal="pressed" from="ColorWheels/Panel/Button" to="." method="_on_button_pressed"] diff --git a/tutorial.gd b/tutorial.gd new file mode 100644 index 0000000..56d7129 --- /dev/null +++ b/tutorial.gd @@ -0,0 +1,122 @@ +extends Node3D + +@onready var label = $CanvasLayer/Panel/Label +@onready var player = $"../Player" +@onready var balloons = $"../Objects/Balloons" + +var current_step = 0 +var time_start = 0.0 +var current_time_passed = 0.0 + +# Track which directions were used +var walked = { + "ui_left": false, + "ui_right": false, + "ui_up": false, + "ui_down": false +} +# Track which directions were used +var turned = { + "cam_right": false, + "cam_left": false +} + +var steps = [ + "Nutzen Sie die Pfeiltasten (oder a,s,d,w), um einmal in alle Richtungen zu laufen. + Sie können sie bei längeren Strecken auch gedrückt halten.", + "Mit der Leertaste können Sie springen.", + "Durch Bewegen der Maus lässt sich die Kamera steuern. Mit [r] können Sie zwischen dem Kamera und Wurfmodus wechseln.", + "Im Wurfmodus können Sie mit der Maus zielen und durch Klicken Bälle werfen (Sie sollten dabei ein Fadenkreuz sehen). + Versuchen Sie, die Ballons zum platzen zu bringen.", + "Um Objekte, wie z.B. die blauen Blöcke, aufzuheben, nutzen Sie die Taste [e] (sobald Sie nah genug davor stehen)", + "Ablegen geht mit [q]", + "Um mit anderen Lebewesen zu reden, drücken Sie [Enter] oder [t]." + ] + +func _ready(): + time_start = Time.get_unix_time_from_system() + update_label() + $CanvasLayer/SubViewportContainer/SubViewport/helper/AnimationPlayer.play('happy') + + +func _process(delta): + check_time() + match current_step: + 0: + check_walk_directions() + 1: + if Input.is_action_just_pressed("ui_accept"): + #$"../Objects/Balloons".position.y = 6.0 + next_step() + 2: + if Input.is_action_just_pressed("throw"): + next_step() + 3: + if balloons.get_child_count() < 3: + next_step() + 4: + if Input.is_action_just_pressed("grab") and player.grabbed_item: + next_step() + 5: + if Input.is_action_just_pressed("drop"): + next_step() + 6: + if player.dialogueActive: + next_step() + + +func check_walk_directions(): + for action in walked.keys(): + if Input.is_action_just_pressed(action): + walked[action] = true + + if walked.values().all(func(v): return v): + $"../Objects/Bridges/walls_tutorial/walls_to_bridge".queue_free() + $"../Objects/Chip0/block".position.y = 0.0 + $"../Objects/arrows/help1".position.y = 4.892 + next_step() + + +func check_camera_turned(): + for action in turned.keys(): + if Input.is_action_just_pressed(action): + turned[action] = true + + if turned.values().all(func(v): return v): + next_step() + +func next_step(): + current_step += 1 + time_start = Time.get_unix_time_from_system() + $AnimationPlayer.play('RESET') + $CanvasLayer/Panel.get_theme_stylebox('panel').border_color = Color('cccccc') + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_left = 5 + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_right = 5 + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_top = 5 + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_bottom = 5 + $CanvasLayer/Panel.size.y = 150 + update_label() + + +func update_label(): + if current_step < steps.size(): + label.text = steps[current_step] + await get_tree().process_frame + var text_size = label.get_minimum_size() + $CanvasLayer/Panel.custom_minimum_size = text_size + Vector2(40, 40) + else: + label.text = "" + queue_free() + +func check_time() -> void: + current_time_passed = Time.get_unix_time_from_system() - time_start + if current_time_passed > 15.0: + pulse_panel() + +func pulse_panel() -> void: + $CanvasLayer/Panel.get_theme_stylebox('panel').border_color = Color('30e7f2') + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_left = 8 + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_right = 8 + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_top = 8 + $CanvasLayer/Panel.get_theme_stylebox('panel').border_width_bottom = 8 + $AnimationPlayer.play('pulse') diff --git a/tutorial.gd.uid b/tutorial.gd.uid new file mode 100644 index 0000000..62052eb --- /dev/null +++ b/tutorial.gd.uid @@ -0,0 +1 @@ +uid://krmc3b8e8jfo