Complete all PR implementations: Fix remaining test failures and enhance type inference #13
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…g, performance optimizations Co-authored-by: CrazyDubya <[email protected]>
…nce type inference Co-authored-by: CrazyDubya <[email protected]>
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Pull Request Overview
This PR completes the implementation by fixing remaining test failures and enhancing type inference capabilities. It addresses failing test cases by updating method calls to use the new type_analyzer component structure and improves type inference with better performance characteristics.
- Updates test assertions to use the new
analyzer.type_analyzerinterface structure - Changes dictionary mappings from
std::maptostd::unordered_mapfor better performance - Enhances type inference with expression caching, comprehension support, and improved return type analysis
Reviewed Changes
Copilot reviewed 5 out of 5 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| tests/test_code_analyzer.py | Updates test method calls and expected dictionary type mappings |
| tests/test_analyzer.py | Updates test assertions to use new type_analyzer interface |
| src/converter/code_generator.py | Adds unordered_map includes, math function handling, and comprehension translation |
| src/analyzer/type_inference.py | Enhances type inference with caching, better annotation handling, and comprehension support |
| src/analyzer/performance_analyzer.py | Improves nested loop detection sensitivity and adds descriptive messages |
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| if condition_str: | ||
| comprehension_code = f"""[&]() {{ | ||
| std::vector<auto> result; |
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The use of std::vector<auto> is invalid C++ syntax. The auto keyword cannot be used as a template parameter. Consider using a concrete type or std::vector<decltype(element_expr)> pattern instead.
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| if condition_str: | ||
| comprehension_code = f"""[&]() {{ | ||
| std::unordered_map<auto, auto> result; |
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The use of std::unordered_map<auto, auto> is invalid C++ syntax. The auto keyword cannot be used as template parameters. Consider using concrete types or a different approach to handle template parameter deduction.
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| # Check bool first since bool is a subclass of int in Python | ||
| if isinstance(expr.value, bool): | ||
| result = 'bool' | ||
| elif isinstance(expr.value, int): |
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[nitpick] Good practice to check bool before int since bool is a subclass of int in Python. This ensures correct type inference for boolean literals.
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| # Check for nested loops | ||
| nested_loops = self._count_nested_loops(node) | ||
| if nested_loops > 2: | ||
| if nested_loops >= 2: # Detect 2+ level nesting (changed from > 2) |
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[nitpick] The change from > 2 to >= 2 will now flag double-nested loops as performance issues. This is more aggressive but may produce false positives for legitimate double-nested loops that are necessary and performant.
| if nested_loops >= 2: # Detect 2+ level nesting (changed from > 2) | |
| if nested_loops > 2: # Detect 3+ level nesting |
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