hyde: Authentication can be configured by setting the AUTH_SECRET environment variable and enabling the auth middleware in your application's config file.
lex: authentication configuration
lex: auth settings setup
vec: how to configure authentication settings
vec: authentication configuration options

Query: python memory leak debugging
Good lex: "memory leak" python -java -javascript
Good lex: tracemalloc "garbage collector" profiler

Total Score = Format + Diversity + Hyde + Quality + Entity
Max Score = 120 (100 without hyde)
Normalized = Total / Max (0.0 - 1.0)

hyde: React Hooks allow you to use state and lifecycle features in functional components without writing a class.
lex: react hooks tutorial
lex: usestate useeffect
vec: how to use react hooks in functional components
vec: react hooks best practices guide

auth is an important concept that relates to authentication.
The answer should be in Chinese.
The answer should be in Chinese.

hyde: Docker networking is an important concept. Docker networking is used for container communication. Docker networking configuration is essential.
lex: docker networking
vec: docker networking

def word_repetition_score(text):
    words = text.lower().split()
    counts = Counter(words)
    # Deduct for words appearing 3+ times (excluding stopwords)
    stopwords = {'the', 'a', 'an', 'is', 'are', 'to', 'for', 'of', 'in', 'and', 'or'}
    repeated = sum(1 for w, c in counts.items() if c >= 3 and w not in stopwords)
    return max(0, 5 - repeated * 2)

def is_diverse(a, b, min_distance=3):
    """Check if two strings are sufficiently different."""
    a, b = a.lower().strip(), b.lower().strip()
    if a == b:
        return False
    # Simple: check if one is not a substring of the other
    if a in b or b in a:
        return False
    # Check edit distance (simplified)
    return len(set(a.split()) ^ set(b.split())) >= min_distance

def echoes_query(expansion, query):
    """Check if expansion is just echoing the query."""
    exp = expansion.lower().strip()
    q = query.lower().strip()
    return exp == q or exp in q or q in exp

KEY_TERM_STOPWORDS = {'what', 'is', 'how', 'to', 'the', 'a', 'an', 'in', 'on', 'for', 'of',
                      'and', 'or', 'with', 'my', 'your', 'do', 'does', 'can', 'i', 'me', 'we',
                      'who', 'where', 'when', 'why', 'which', 'find', 'get', 'show', 'tell'}

def extract_named_entities(query: str) -> set:
    """Extract named entities using simple heuristics."""
    entities = set()
    words = query.split()
    prev_was_entity = False

    for i, word in enumerate(words):
        clean = word.strip('.,!?:;()[]"\'')
        if not clean:
            prev_was_entity = False
            continue

        is_entity = False

        # All-caps acronyms: TDS, API, GPU
        if clean.isupper() and len(clean) >= 2:
            entities.add(clean.lower())
            is_entity = True
        # Capitalized proper nouns (not first word)
        elif i > 0 and clean[0].isupper() and clean.lower() not in KEY_TERM_STOPWORDS:
            entities.add(clean.lower())
            is_entity = True
        # Technical terms: node.js, C++
        elif any(c in clean for c in '.+-#@') and len(clean) >= 2:
            entities.add(clean.lower())
            is_entity = True
        # CamelCase: JavaScript
        elif len(clean) > 1 and any(c.isupper() for c in clean[1:]) and clean[0].isupper():
            entities.add(clean.lower())
            is_entity = True
        # Word following an entity (compound names: TDS motorsports)
        elif prev_was_entity and clean.lower() not in KEY_TERM_STOPWORDS:
            entities.add(clean.lower())
            is_entity = True

        prev_was_entity = is_entity

    return entities

GENERIC_LEX_PHRASES = {
    'find information about', 'search for', 'look up', 'get information',
    'learn about', 'information on', 'details about', 'find out about',
    'what is', 'how to', 'guide to', 'help with'
}

def lex_is_generic(lex_line: str) -> bool:
    """Check if lex line is a useless generic filler."""
    lex_lower = lex_line.lower().strip()
    for phrase in GENERIC_LEX_PHRASES:
        if phrase in lex_lower:
            # Check if there's specific content beyond the generic phrase
            remaining = lex_lower
            for word in phrase.split():
                remaining = remaining.replace(word, '', 1).strip()
            if len(remaining) < 3:  # Nothing specific left
                return True
    return False