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vuongps38770
@@ -1,23 +1,57 @@
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"""
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games/match.py - Match Game - Match sentences with images
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games/match.py - Match Game - Match words/phrases with images
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type_id = 3
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Input: Danh sách từ hoặc cụm từ
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Output: Mỗi item gồm từ/cụm từ và mô tả hình ảnh tương ứng
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"""
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from typing import List
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from typing import List, Literal
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from pydantic import BaseModel, Field
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from langchain_core.output_parsers import PydanticOutputParser
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# ============== SCHEMA ==============
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class MatchItem(BaseModel):
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word: str = Field(description="The sentence to be matched (EXACT copy from source)")
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match_with: str = Field(description="Short keyword for reference")
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original_quote: str = Field(description="EXACT quote from source text")
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image_description: str = Field(default="", description="Detailed visual description for image generation/search")
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image_is_complex: bool = Field(default=False, description="True if image needs precise quantities, humans, or multiple detailed objects")
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"""Schema cho 1 item của Match game"""
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word: str = Field(
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description="The word or phrase to be matched (EXACT copy from source, cleaned of numbering)"
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)
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original_quote: str = Field(
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description="EXACT quote from source text before any cleaning"
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)
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image_description: str = Field(
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description="Detailed visual description for image generation in ENGLISH. Must be specific and visual."
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)
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image_keywords: List[str] = Field(
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default=[], description="2-3 English keywords for image search"
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)
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image_is_complex: bool = Field(
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default=False,
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description="True if image needs precise quantities, humans, or multiple detailed objects",
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)
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class MatchMetadata(BaseModel):
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"""Metadata đánh giá nội dung"""
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title: str = Field(description="Title from source or short descriptive title")
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description: str = Field(description="One sentence summary of the content")
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grade: int = Field(
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description="Estimated grade level 1-5 (1=easy/young, 5=advanced)"
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)
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type: Literal["match"] = Field(default="match", description="Game type")
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difficulty: int = Field(description="Difficulty 1-5 for that grade")
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class MatchOutput(BaseModel):
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"""Output wrapper for match items"""
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items: List[MatchItem] = Field(description="List of match items generated from source text")
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items: List[MatchItem] = Field(
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description="List of match items generated from source text"
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)
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metadata: MatchMetadata = Field(description="Metadata about the content")
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# Output parser
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@@ -26,56 +60,110 @@ output_parser = PydanticOutputParser(pydantic_object=MatchOutput)
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# ============== CONFIG ==============
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GAME_CONFIG = {
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# === REQUIRED ===
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"game_type": "match",
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"type_id": 3,
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"display_name": "Match with Image",
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"description": "Match sentences with images",
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"active": True,
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"min_items": 2,
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"max_items": 10,
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"description": "Match words or phrases with their corresponding images",
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"schema": MatchItem,
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"output_schema": MatchOutput,
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"output_parser": output_parser,
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"system_prompt": """Extract sentences and create image descriptions for matching game.
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The game will show images and players must match them with the correct sentences.
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YOUR TASK:
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1. Extract meaningful sentences from the source text
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2. Create a DETAILED image_description that clearly represents the sentence
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3. The image should be distinct enough to match with its sentence
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CRITICAL RULES:
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1. KEEP THE ORIGINAL LANGUAGE - Do NOT translate the source text
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2. original_quote MUST be an EXACT copy from source text
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3. image_description must be DETAILED and SPECIFIC to the sentence content
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4. Each image should be visually distinguishable from others""",
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# === OPTIONAL ===
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"active": True,
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"max_items": 10,
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# Input validation rules
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"input_format_rules": [
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"Text MUST be a list of words or phrases separated by commas, semicolons, or newlines",
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"NOT suitable for long sentences or paragraphs",
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"Each item should be a concrete noun/concept that can be visualized",
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],
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# Analyzer rules - khi nào nên chọn game này
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"analyzer_rules": [
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"Text is a list of words or short phrases",
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"Words represent concrete objects/concepts that can be visualized",
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"Examples: 'apple, banana, orange' or 'cat; dog; bird'",
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"NOT suitable for abstract concepts or long sentences",
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],
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# Generation rules - cách tạo nội dung
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"generation_rules": [
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"KEEP ORIGINAL LANGUAGE for 'word' field - Do NOT translate",
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"original_quote = EXACT copy from source before cleaning",
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"Clean numbering like '1.', 'a)', '•' from word field",
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"Each word/phrase should represent a visualizable concept",
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# Image rules
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"image_description: MUST be DETAILED visual description in ENGLISH",
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"image_description: Describe colors, shapes, actions, context",
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"image_keywords: 2-3 English keywords for search",
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"image_is_complex: TRUE for humans, precise counts, complex scenes",
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"NEVER leave image_description empty!",
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# Quality rules
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"Each image should be visually DISTINCT from others",
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"Avoid generic descriptions - be specific",
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],
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"examples": [], # Defined below
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}
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# ============== EXAMPLES ==============
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EXAMPLES = [
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{
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"input": "The Sun is a star. The Moon orbits Earth.",
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"input": "apple; banana;",
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"output": {
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"items": [
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{
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"word": "The Sun is a star.",
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"match_with": "sun",
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"original_quote": "The Sun is a star.",
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"image_description": "A bright glowing yellow sun with solar flares",
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"image_is_complex": False
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"word": "apple",
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"original_quote": "apple",
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"image_description": "A shiny red apple with a green leaf on top",
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"image_keywords": ["apple", "fruit", "red"],
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"image_is_complex": False,
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},
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{
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"word": "The Moon orbits Earth.",
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"match_with": "moon",
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"original_quote": "The Moon orbits Earth.",
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"image_description": "A grey moon circling around the blue Earth planet",
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"image_is_complex": False
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}
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]
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"word": "banana",
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"original_quote": "banana",
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"image_description": "A curved yellow banana",
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"image_keywords": ["banana", "fruit", "yellow"],
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"image_is_complex": False,
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},
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],
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"metadata": {
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"title": "Fruits",
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"description": "Common fruits vocabulary",
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"grade": 1,
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"type": "match",
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"difficulty": 1,
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},
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},
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"why_suitable": "Has distinct concepts that can be visualized and matched"
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}
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"why_suitable": "Simple words representing concrete objects that can be visualized",
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},
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{
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"input": "1. elephant\n2. giraffe\n",
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"output": {
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"items": [
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{
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"word": "elephant",
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"original_quote": "1. elephant",
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"image_description": "A large grey elephant with big ears and long trunk",
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"image_keywords": ["elephant", "animal", "africa"],
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"image_is_complex": False,
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},
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{
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"word": "giraffe",
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"original_quote": "2. giraffe",
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"image_description": "A tall giraffe with brown spots and long neck",
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"image_keywords": ["giraffe", "tall", "spots"],
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"image_is_complex": False,
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},
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],
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"metadata": {
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"title": "African Animals",
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"description": "Safari animals vocabulary",
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"grade": 2,
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"type": "match",
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"difficulty": 1,
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},
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},
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"why_suitable": "Numbered list of animals - numbering will be cleaned",
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},
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]
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GAME_CONFIG["examples"] = EXAMPLES
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