fix: resolve CI type annotation issues

- Replaced deprecated typing.List/Dict/Tuple with native list/dict/tuple
- Fixed trailing whitespace issues
- Fixed blank line whitespace issues
- Removed unused variables and imports
- Applied black formatting

src/nl2gherkin/nlp/patterns.py

@@ -2,11 +2,12 @@
 
 from dataclasses import dataclass
 from enum import Enum
-from typing import List, Optional
+from typing import Optional
 
 
 class PatternType(str, Enum):
     """Types of requirement patterns."""
+
     USER_STORY = "user_story"
     SCENARIO = "scenario"
     ACCEPTANCE_CRITERIA = "acceptance_criteria"
@@ -17,6 +18,7 @@ class PatternType(str, Enum):
 @dataclass
 class RequirementPattern:
     """A pattern for matching requirements."""
+
     name: str
     pattern: str
     pattern_type: PatternType
@@ -26,6 +28,7 @@ class RequirementPattern:
     def matches(self, text: str) -> bool:
         """Check if the text matches this pattern."""
         import re
+
         return bool(re.search(self.pattern, text, re.IGNORECASE))
 
 
@@ -81,7 +84,7 @@ ACCEPTANCE_CRITERIA_PATTERNS = [
 ]
 
 
-def get_patterns_by_type(pattern_type: PatternType) -> List[RequirementPattern]:
+def get_patterns_by_type(pattern_type: PatternType) -> list[RequirementPattern]:
     """Get all patterns of a specific type."""
     all_patterns = USER_STORY_PATTERNS + SCENARIO_PATTERNS + ACCEPTANCE_CRITERIA_PATTERNS
     return [p for p in all_patterns if p.pattern_type == pattern_type]