1  """
 2  Rule: P-SPAM-01 - spam score
 3  Type: moderation | Output: probability
 4  Description: Probability of spam patterns and marketing text.
 5  Spec reference: 8.1.6
 6  """
 7  
 8  # TODO: Implement spam score
 9  # TODO: Implement spam score
10  # Output: {"score": float}
11    # Output: {"score": float}
12  # Steps:
13    # Steps:
14  # 2. Check for spam patterns: ALL CAPS, excessive punctuation, tag stuffing
15      # 2. Check for spam patterns: ALL CAPS, excessive punctuation, tag stuffing
16  # 4. Return {'score': spam_probability}
17      # 4. Return {'score': spam_probability}
18  # Edge cases:
19    # Edge cases:
20  # - Marketing language
21      # - Marketing language
22  
23  # Dependencies: Pattern matching + heuristics
24    # Dependencies: Pattern matching + heuristics
25  # Priority: High (spam detection)
26    # Priority: High (spam detection)
27  from simple_types import Nip35Kind2003Event, ProbabilityRuleResult
28  
29  
30  def main(entry: Nip35Kind2003Event) -> ProbabilityRuleResult:
31      return {"score": 1.0}