Add expression type caching #9
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Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
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Pull Request Overview
This PR implements expression type caching to improve performance in the code analysis system. The changes focus on optimizing type inference by avoiding redundant calculations for the same expression nodes.
- Adds expression type caching mechanism to both CodeAnalyzer classes
- Modifies CodeGenerator to handle dataclass results in addition to dictionaries
- Refactors type inference methods to use cached results and structured control flow
Reviewed Changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 4 comments.
| File | Description |
|---|---|
| src/analyzer/code_analyzer.py | Implements expression type caching and refactors _infer_expression_type with improved control flow |
| src/analyzer/code_analyzer_fixed.py | Adds similar caching mechanism with more comprehensive type inference logic |
| src/converter/code_generator.py | Adds dataclass compatibility by converting objects to dictionaries when needed |
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| self._expr_type_cache[id(node)] = result | ||
| return result | ||
| elif type_info.startswith('std::map<'): | ||
| # Return value type from std::map<K, V> | ||
| parts = type_info[9:-1].split(', ') | ||
| if len(parts) > 1: | ||
| return parts[1] | ||
| result = parts[1] | ||
| self._expr_type_cache[id(node)] = result | ||
| return result | ||
| elif type_info.startswith('std::tuple<'): | ||
| # For tuples, would need to know which index is being accessed | ||
| # Default to first type for now | ||
| parts = type_info[11:-1].split(', ') | ||
| if parts: | ||
| return parts[0] | ||
| result = parts[0] | ||
| self._expr_type_cache[id(node)] = result | ||
| return result |
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Caching logic is inconsistent within the ast.Subscript handling. Some branches manually cache and return early, while others rely on the general caching at the end of the method. This creates unnecessary code duplication and potential maintenance issues.
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Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
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Copilot AI
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…g, performance optimizations Co-authored-by: CrazyDubya <[email protected]>
CrazyDubya
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Jul 23, 2025
…slve them all... test code at end make sure fucntional (#12) * Initial plan * Implement PRs #4, #6, #9, #10: Math functions, comprehensions, caching, performance optimizations Co-authored-by: CrazyDubya <[email protected]> --------- Co-authored-by: copilot-swe-agent[bot] <[email protected]> Co-authored-by: CrazyDubya <[email protected]>
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Summary
CodeAnalyzerto avoid repeated workCodeGeneratorto accept dataclass resultsTesting
pytest -qhttps://chatgpt.com/codex/tasks/task_e_684a55e5d3248332bb4cf092accce2c3