371 lines
21 KiB
Python
371 lines
21 KiB
Python
#!/usr/bin/env python3
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"""Extract lesson info from lark-cli docs +fetch JSON output."""
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import json, sys, re, os, glob
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def extract_markdown(filepath):
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with open(filepath, 'r') as f:
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content = f.read()
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# Find JSON object
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start = content.find('{')
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if start == -1:
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return None, None
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try:
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data = json.loads(content[start:])
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except:
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return None, None
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if not data.get('ok'):
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return None, data.get('error', {}).get('message', 'unknown error')
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md = data.get('data', {}).get('markdown', '')
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title = data.get('data', {}).get('title', '')
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return md, title
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def extract_knowledge_points(md):
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"""Extract knowledge points from markdown."""
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kps = []
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# Look for 知识点 section
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kp_section = re.search(r'# 知识点\s*\n(.*?)(?=\n# |\Z)', md, re.DOTALL)
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if not kp_section:
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return kps, []
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section = kp_section.group(1)
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# Extract sheet tokens
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sheet_tokens = re.findall(r'<sheet token="([^"]+)"', section)
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# Extract example sentences
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examples = []
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for line in section.split('\n'):
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line = line.strip()
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if line and not line.startswith('<') and not line.startswith('#'):
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examples.append(line)
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return sheet_tokens, examples
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def extract_story_summary(md):
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"""Extract story summary from 剧情梗概 table."""
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summary_section = re.search(r'# 剧情梗概\s*\n(.*?)(?=\n# |\Z)', md, re.DOTALL)
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if not summary_section:
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return ""
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section = summary_section.group(1)
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# Extract text from lark-td cells
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cells = re.findall(r'<lark-td[^>]*>\s*(.*?)\s*</lark-td>', section, re.DOTALL)
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# Filter out non-content cells (headers, image refs, etc.)
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content_cells = []
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for cell in cells:
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cell = cell.strip()
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# Skip empty, headers, image-only cells
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if not cell or cell in ['开场', '结尾', 'AI动画', '（AI动画）']:
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continue
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if re.match(r'^\d+$', cell): # Just a number
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continue
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if cell.startswith('<image'):
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continue
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if cell.startswith('（全屏插入图）'):
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continue
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# Clean up mentions
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cell = re.sub(r'<mention[^>]+/>', '', cell)
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cell = re.sub(r'<[^>]+>', '', cell)
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cell = cell.strip()
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if cell:
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content_cells.append(cell)
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return content_cells
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def extract_characters(md):
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"""Extract character names from the story."""
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# Look for known character names
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known_chars = ['User', 'Ben', 'May', 'Vicky', 'BoBo', 'DiDi', 'Sally',
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'Mr. Stone', 'Bingo', 'Momo', 'Luna', 'Grandpa', 'Grandma',
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'Dad', 'Mom', 'Uncle', 'Aunt', 'Tom', 'Lily', 'Max',
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'Leo', 'Mia', 'Zoe', 'Sam', 'Ella', 'Jack', 'Ruby',
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'Oliver', 'Emma', 'Noah', 'Ava', 'Liam', 'Sophia',
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'Coco', 'Lulu', 'Nana', 'Pipi', 'Toto', 'Kiki',
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'Mr.', 'Ms.', 'Mrs.', 'Dr.', 'Captain', 'Mayor']
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# Extract all text
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text = re.sub(r'<[^>]+>', ' ', md)
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found = set()
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for char in known_chars:
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if re.search(r'\b' + re.escape(char) + r'\b', text):
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found.add(char)
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# Also look for capitalized names not in the list
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# (but be careful not to match common words)
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caps = re.findall(r'\b([A-Z][a-z]{2,}(?:\s+[A-Z][a-z]{2,})?)\b', text)
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for c in caps:
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if c not in ['User', 'What', 'Where', 'This', 'That', 'They', 'Their',
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'First', 'Second', 'Third', 'Sunny', 'Rain', 'Windy',
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'Hide', 'It', 'We', 'She', 'He', 'You', 'Are', 'Is',
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'The', 'And', 'But', 'For', 'Not', 'Now', 'All',
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'Then', 'When', 'Here', 'There', 'Just', 'Like',
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'Very', 'Come', 'Look', 'Find', 'Help', 'Stop',
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'Wait', 'Play', 'Hide', 'Seek', 'Rock', 'Grass',
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'Place', 'Way', 'Day', 'Back', 'One', 'Two',
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'From', 'With', 'Into', 'Over', 'Down', 'Out',
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'Still', 'Again', 'Only', 'Much', 'More', 'Some',
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'Each', 'Both', 'Most', 'Such', 'Even', 'Also',
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'Many', 'Been', 'Will', 'Have', 'Were', 'Does',
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'Going', 'Being', 'Right', 'Left', 'Next', 'Last',
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'Good', 'Great', 'Well', 'Sure', 'Okay', 'Yes',
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'Soon', 'Ever', 'Never', 'Always', 'Maybe',
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'Could', 'Would', 'Should', 'Must', 'Need',
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'Want', 'Know', 'Think', 'Mean', 'Feel', 'See',
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'Make', 'Take', 'Give', 'Tell', 'Call', 'Keep',
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'Move', 'Turn', 'Walk', 'Run', 'Push', 'Pull',
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'Open', 'Close', 'Pick', 'Drop', 'Hold', 'Let',
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'Put', 'Get', 'Try', 'Use', 'Ask', 'Say',
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'Different', 'Strange', 'Wrong', 'Lost', 'Dark',
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'Fast', 'Slow', 'Small', 'Big', 'New', 'Old',
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'Long', 'Short', 'High', 'Low', 'Wide', 'Deep',
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'Hot', 'Cold', 'Wet', 'Dry', 'Hard', 'Soft',
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'Loud', 'Quiet', 'Happy', 'Sad', 'Brave', 'Scared',
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'Tired', 'Hungry', 'Thirsty', 'Sleepy', 'Busy',
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'Ready', 'Sorry', 'Thank', 'Please', 'Hello',
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'Morning', 'Night', 'Today', 'Tomorrow', 'Yesterday',
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'Inside', 'Outside', 'Behind', 'Under', 'Above',
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'Below', 'Between', 'Through', 'Around', 'Along',
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'Across', 'Near', 'Far', 'Away', 'Home',
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'Door', 'Wall', 'Floor', 'Window', 'Light',
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'Water', 'Fire', 'Wind', 'Rain', 'Snow', 'Sun',
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'Tree', 'Flower', 'River', 'Road', 'Bridge',
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'House', 'Room', 'Table', 'Chair', 'Bed',
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'Book', 'Box', 'Bag', 'Hat', 'Shoe',
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'Food', 'Bread', 'Milk', 'Egg', 'Fish',
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'Dog', 'Cat', 'Bird', 'Fish', 'Horse',
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'Color', 'Red', 'Blue', 'Green', 'Yellow',
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'White', 'Black', 'Brown', 'Pink', 'Purple',
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'Number', 'Letter', 'Word', 'Name', 'Game',
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'Time', 'Year', 'Month', 'Week', 'Hour',
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'World', 'Life', 'Hand', 'Eye', 'Head',
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'Friend', 'Family', 'People', 'Child', 'Baby',
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'School', 'Teacher', 'Class', 'Story', 'Song',
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'Party', 'Present', 'Card', 'Cake', 'Ball',
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'Map', 'Key', 'Lock', 'Bell', 'Flag',
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'Star', 'Moon', 'Sky', 'Sea', 'Land',
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'Top', 'Bottom', 'Side', 'Front', 'End',
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'Maze', 'Cave', 'Tower', 'Castle', 'Garden',
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'Desert', 'Town', 'City', 'Village', 'Island',
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'Robot', 'Machine', 'Button', 'Lever', 'Switch',
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'Screen', 'Camera', 'Phone', 'Radio', 'Computer',
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'Dance', 'Music', 'Picture', 'Movie', 'Show',
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'Team', 'Race', 'Match', 'Score', 'Win',
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'Lose', 'Start', 'Finish', 'Begin', 'Stop',
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'Question', 'Answer', 'Idea', 'Plan', 'Secret',
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'Magic', 'Power', 'Dream', 'Wish', 'Hope',
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'Love', 'Like', 'Hate', 'Fear', 'Anger',
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'Fun', 'Cool', 'Nice', 'Fine', 'Real',
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'True', 'False', 'Easy', 'Hard', 'Simple',
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'Safe', 'Danger', 'Trouble', 'Problem', 'Mistake',
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'Change', 'Stay', 'Leave', 'Return', 'Follow',
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'Lead', 'Guide', 'Show', 'Teach', 'Learn',
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'Read', 'Write', 'Draw', 'Paint', 'Build',
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'Fix', 'Break', 'Cut', 'Tie', 'Wash',
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'Clean', 'Dirty', 'Full', 'Empty', 'Heavy',
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'Light', 'Thick', 'Thin', 'Round', 'Flat',
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'Sweet', 'Sour', 'Salty', 'Spicy', 'Fresh',
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'Alive', 'Dead', 'Asleep', 'Awake', 'Alone',
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'Together', 'Apart', 'Same', 'Different', 'Special',
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'Normal', 'Usual', 'Strange', 'Weird', 'Funny',
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'Silly', 'Smart', 'Kind', 'Mean', 'Brave',
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'Shy', 'Loud', 'Quiet', 'Fast', 'Slow',
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'Strong', 'Weak', 'Rich', 'Poor', 'Lucky',
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'Ready', 'Sure', 'Done', 'Gone', 'Back',
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'Wait', 'Hurry', 'Slow', 'Careful', 'Gentle',
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'Suddenly', 'Finally', 'Maybe', 'Perhaps', 'Almost',
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'Really', 'Very', 'Too', 'So', 'How',
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'Why', 'Who', 'Whose', 'Which', 'How Many',
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'How Much', 'How Long', 'How Far', 'How Old',
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'First', 'Second', 'Third', 'Fourth', 'Fifth',
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'Once', 'Twice', 'Thrice', 'Again', 'More',
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'Less', 'Few', 'Many', 'Much', 'Little',
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'All', 'None', 'Some', 'Any', 'Every',
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'Another', 'Other', 'Else', 'Enough', 'Several',
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'Whole', 'Half', 'Part', 'Piece', 'Bit',
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'Lot', 'Kind', 'Sort', 'Type', 'Way',
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'Thing', 'Stuff', 'Place', 'Time', 'Person',
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'Man', 'Woman', 'Boy', 'Girl', 'Kid',
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'Dad', 'Mom', 'Son', 'Daughter', 'Brother',
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'Sister', 'Uncle', 'Aunt', 'Cousin', 'Friend',
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'Neighbor', 'Guest', 'Visitor', 'Stranger', 'Hero',
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'King', 'Queen', 'Prince', 'Princess', 'Knight',
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'Dragon', 'Monster', 'Ghost', 'Witch', 'Wizard',
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'Fairy', 'Giant', 'Dwarf', 'Elf', 'Troll',
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'Pirate', 'Cowboy', 'Astronaut', 'Doctor', 'Nurse',
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'Police', 'Fireman', 'Chef', 'Artist', 'Singer',
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'Dancer', 'Player', 'Runner', 'Swimmer', 'Climber',
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'Jumper', 'Thrower', 'Catcher', 'Kicker', 'Hitter',
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'Walker', 'Talker', 'Listener', 'Reader', 'Writer',
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'Thinker', 'Maker', 'Builder', 'Helper', 'Finder',
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'Keeper', 'Giver', 'Taker', 'Buyer', 'Seller',
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'Eater', 'Drinker', 'Sleeper', 'Dreamer', 'Lover',
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'Hater', 'Fighter', 'Winner', 'Loser', 'Leader',
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'Follower', 'Teacher', 'Student', 'Worker', 'Player',
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'Traveler', 'Explorer', 'Discoverer', 'Inventor', 'Creator',
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'Morning', 'Afternoon', 'Evening', 'Midnight', 'Noon',
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'Breakfast', 'Lunch', 'Dinner', 'Snack', 'Meal',
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'Spring', 'Summer', 'Autumn', 'Winter', 'Season',
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'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday',
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'Saturday', 'Sunday', 'Weekend', 'Holiday', 'Birthday',
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'Christmas', 'Easter', 'Halloween', 'Thanksgiving', 'New Year',
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'January', 'February', 'March', 'April', 'May',
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'June', 'July', 'August', 'September', 'October',
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'November', 'December', 'Minute', 'Second', 'Moment',
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'Past', 'Present', 'Future', 'Early', 'Late',
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'Soon', 'Later', 'Before', 'After', 'During',
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'While', 'Since', 'Until', 'Already', 'Yet',
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'North', 'South', 'East', 'West', 'Center',
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'Middle', 'Corner', 'Edge', 'Line', 'Point',
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'Circle', 'Square', 'Triangle', 'Rectangle', 'Oval',
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'Diamond', 'Heart', 'Cross', 'Arrow', 'Dot',
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'Body', 'Arm', 'Leg', 'Foot', 'Toe',
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'Finger', 'Thumb', 'Nose', 'Mouth', 'Ear',
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'Hair', 'Neck', 'Back', 'Belly', 'Knee',
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'Shoulder', 'Elbow', 'Wrist', 'Ankle', 'Hip',
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'Skin', 'Bone', 'Blood', 'Heart', 'Brain',
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'Lung', 'Stomach', 'Muscle', 'Nerve', 'Cell',
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'Plant', 'Animal', 'Insect', 'Spider', 'Snake',
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'Lizard', 'Frog', 'Turtle', 'Fish', 'Whale',
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'Shark', 'Dolphin', 'Seal', 'Penguin', 'Eagle',
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'Owl', 'Parrot', 'Duck', 'Goose', 'Chicken',
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'Turkey', 'Pig', 'Cow', 'Sheep', 'Goat',
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'Deer', 'Bear', 'Wolf', 'Fox', 'Rabbit',
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'Squirrel', 'Mouse', 'Rat', 'Bat', 'Monkey',
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'Ape', 'Gorilla', 'Elephant', 'Lion', 'Tiger',
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'Zebra', 'Giraffe', 'Kangaroo', 'Koala', 'Panda',
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'Camel', 'Donkey', 'Mule', 'Ox', 'Buffalo',
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'Crocodile', 'Alligator', 'Dinosaur', 'Fossil', 'Egg',
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'Nest', 'Cave', 'Hole', 'Burrow', 'Den',
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'Forest', 'Jungle', 'Desert', 'Mountain', 'Valley',
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'Hill', 'Cliff', 'Beach', 'Ocean', 'Lake',
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'Pond', 'Stream', 'Waterfall', 'Volcano', 'Earthquake',
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'Storm', 'Thunder', 'Lightning', 'Rainbow', 'Cloud',
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'Fog', 'Mist', 'Dew', 'Frost', 'Ice',
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'Snowman', 'Snowball', 'Sled', 'Skate', 'Ski',
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'Surf', 'Swim', 'Dive', 'Float', 'Sink',
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'Rise', 'Fall', 'Grow', 'Shrink', 'Change',
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'Appear', 'Disappear', 'Vanish', 'Return', 'Arrive',
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'Enter', 'Exit', 'Escape', 'Rescue', 'Save',
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'Protect', 'Guard', 'Defend', 'Attack', 'Fight',
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'Battle', 'War', 'Peace', 'Win', 'Lose',
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'Victory', 'Defeat', 'Success', 'Failure', 'Try',
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'Attempt', 'Effort', 'Work', 'Rest', 'Play',
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'Fun', 'Joy', 'Sadness', 'Anger', 'Fear',
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'Surprise', 'Shock', 'Wonder', 'Curiosity', 'Interest',
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'Boredom', 'Excitement', 'Calm', 'Peace', 'Quiet',
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'Noise', 'Sound', 'Voice', 'Whisper', 'Shout',
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'Scream', 'Laugh', 'Cry', 'Smile', 'Frown',
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'Wink', 'Blink', 'Stare', 'Glance', 'Look',
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'Watch', 'Observe', 'Notice', 'Spot', 'Discover',
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'Find', 'Search', 'Seek', 'Hunt', 'Chase',
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'Catch', 'Grab', 'Hold', 'Release', 'Drop',
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'Throw', 'Catch', 'Bounce', 'Roll', 'Slide',
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'Spin', 'Turn', 'Twist', 'Bend', 'Stretch',
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'Reach', 'Touch', 'Feel', 'Taste', 'Smell',
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'Hear', 'Listen', 'Speak', 'Talk', 'Say',
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'Tell', 'Ask', 'Answer', 'Reply', 'Respond',
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'Explain', 'Describe', 'Report', 'Announce', 'Declare',
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'Promise', 'Agree', 'Disagree', 'Argue', 'Discuss',
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'Chat', 'Conversation', 'Talk', 'Speech', 'Story',
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'Tale', 'Legend', 'Myth', 'Fable', 'Joke',
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'Riddle', 'Puzzle', 'Mystery', 'Secret', 'Clue',
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'Hint', 'Tip', 'Advice', 'Suggestion', 'Recommendation',
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'Opinion', 'Belief', 'Fact', 'Truth', 'Lie',
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'Honest', 'Dishonest', 'Fair', 'Unfair', 'Right',
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'Wrong', 'Correct', 'Incorrect', 'Accurate', 'Inaccurate',
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'Possible', 'Impossible', 'Probable', 'Improbable', 'Certain',
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'Uncertain', 'Sure', 'Unsure', 'Confident', 'Doubtful',
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'Clear', 'Unclear', 'Obvious', 'Hidden', 'Visible',
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'Invisible', 'Present', 'Absent', 'Missing', 'Found',
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'Lost', 'Stolen', 'Broken', 'Fixed', 'Repaired',
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'Damaged', 'Destroyed', 'Ruined', 'Perfect', 'Flawless',
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'Beautiful', 'Ugly', 'Pretty', 'Handsome', 'Cute',
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'Attractive', 'Unattractive', 'Lovely', 'Horrible', 'Terrible',
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'Wonderful', 'Amazing', 'Fantastic', 'Excellent', 'Great',
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'Good', 'Bad', 'Okay', 'Alright', 'Fine',
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'Well', 'Poor', 'Rich', 'Wealthy', 'Broke',
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'Expensive', 'Cheap', 'Free', 'Costly', 'Priceless',
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'Valuable', 'Worthless', 'Useful', 'Useless', 'Helpful',
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'Harmful', 'Dangerous', 'Safe', 'Secure', 'Risky',
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'Brave', 'Cowardly', 'Bold', 'Timid', 'Shy',
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'Confident', 'Nervous', 'Anxious', 'Worried', 'Relaxed',
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'Calm', 'Angry', 'Furious', 'Annoyed', 'Irritated',
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'Frustrated', 'Disappointed', 'Sad', 'Unhappy', 'Miserable',
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'Depressed', 'Lonely', 'Alone', 'Together', 'United',
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'Divided', 'Separated', 'Connected', 'Attached', 'Detached',
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'Linked', 'Related', 'Unrelated', 'Similar', 'Different',
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'Unique', 'Common', 'Rare', 'Special', 'Ordinary',
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'Normal', 'Abnormal', 'Typical', 'Atypical', 'Usual',
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'Unusual', 'Regular', 'Irregular', 'Frequent', 'Infrequent',
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'Often', 'Seldom', 'Always', 'Never', 'Sometimes',
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'Usually', 'Rarely', 'Occasionally', 'Constantly', 'Continuously',
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'Briefly', 'Shortly', 'Quickly', 'Slowly', 'Rapidly',
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'Gradually', 'Suddenly', 'Immediately', 'Instantly', 'Eventually',
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'Finally', 'Initially', 'Originally', 'Previously', 'Recently',
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'Currently', 'Presently', 'Simultaneously', 'Meanwhile', 'Afterward',
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'Beforehand', 'Afterward', 'Thereafter', 'Henceforth', 'Hereafter',
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'Therefore', 'However', 'Moreover', 'Furthermore', 'Nevertheless',
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'Nonetheless', 'Otherwise', 'Instead', 'Rather', 'Besides',
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'Additionally', 'Alternatively', 'Consequently', 'Accordingly', 'Thus',
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'Hence', 'So', 'Because', 'Since', 'Although',
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'Though', 'Unless', 'Until', 'While', 'Whereas',
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'Whether', 'If', 'When', 'Where', 'How',
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'What', 'Which', 'Who', 'Whom', 'Whose',
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'That', 'This', 'These', 'Those', 'Such',
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'Either', 'Neither', 'Nor', 'Or', 'And',
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'But', 'Yet', 'For', 'With', 'Without',
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'Within', 'Without', 'Throughout', 'Through', 'Across',
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'Along', 'Around', 'About', 'Above', 'Below',
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'Beneath', 'Underneath', 'Inside', 'Outside', 'Between',
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'Among', 'Amid', 'Against', 'Toward', 'Towards',
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'Into', 'Onto', 'Upon', 'Off', 'Away',
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'Back', 'Forth', 'Forward', 'Backward', 'Upward',
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'Downward', 'Inward', 'Outward', 'Sideways', 'Lengthwise',
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'Crosswise', 'Clockwise', 'Counterclockwise', 'Northward', 'Southward',
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'Eastward', 'Westward', 'Homeward', 'Heavenward', 'Earthward',
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'Seaward', 'Landward', 'Windward', 'Leeward', 'Shoreward']:
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pass # skip common words
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else:
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found.add(c)
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return sorted(found)
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def main():
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base = os.path.expanduser('~/.openclaw/workspace-xiaobian/tmp/lessons/S3')
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for unit in sorted(os.listdir(base)):
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unit_dir = os.path.join(base, unit)
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if not os.path.isdir(unit_dir):
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continue
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for lesson_file in sorted(os.listdir(unit_dir)):
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if not lesson_file.endswith('.md'):
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continue
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filepath = os.path.join(unit_dir, lesson_file)
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md, title = extract_markdown(filepath)
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if md is None:
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print(f"ERROR: {unit}/{lesson_file}: {title}")
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continue
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sheet_tokens, examples = extract_knowledge_points(md)
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story_cells = extract_story_summary(md)
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characters = extract_characters(md)
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print(f"\n{'='*60}")
|
||
print(f"TITLE: {title}")
|
||
print(f"UNIT: {unit}")
|
||
print(f"LESSON: {lesson_file.replace('.md', '')}")
|
||
print(f"SHEET_TOKENS: {sheet_tokens}")
|
||
print(f"EXAMPLES: {examples}")
|
||
print(f"CHARACTERS: {', '.join(characters)}")
|
||
print(f"STORY:")
|
||
for i, cell in enumerate(story_cells):
|
||
print(f" [{i}] {cell[:200]}")
|
||
|
||
if __name__ == '__main__':
|
||
main()
|