Update src/converter/code_generator_fixed.py #15
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This report details each significant file and directory in the codebase, covering: - Purpose - Completion Status/Key Observations - Key Relations - Potential Enhancements/Improvements The report is based on a thorough examination of top-level files, the 'src' directory (including analyzer, converter, rules, and main entry point), 'examples', 'tests', existing 'docs', and the 'generated' C++ output.
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Pull Request Overview
This PR adds support for Python list and dictionary comprehensions in the code conversion pipeline. The implementation includes type inference for comprehensions during analysis and code generation that converts comprehensions to equivalent C++ patterns using std::vector and std::map.
- Adds type inference for list and dictionary comprehensions in the code analyzer
- Implements C++ code generation for comprehension expressions using appropriate STL containers
- Updates existing code generator methods to handle AnalysisResult type properly
- Adds comprehensive test coverage for both list and dictionary comprehension conversions
Reviewed Changes
Copilot reviewed 8 out of 8 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| tests/test_conversion_fixed.py | Adds integration tests for list and dictionary comprehension conversion |
| tests/test_code_analyzer_fixed.py | Adds unit tests for comprehension type inference |
| src/converter/code_generator_fixed.py | Implements expression translation for list and dictionary comprehensions |
| src/converter/code_generator.py | Updates method signatures and type handling for AnalysisResult |
| src/analyzer/code_analyzer_fixed.py | Adds type inference support for comprehensions |
| src/analyzer/code_analyzer.py | Improves tuple unpacking handling in variable assignments |
| docs/implementation_gaps_report.md | Updates documentation to reflect completed comprehension support |
| docs/ComprehensiveCodeAnalysisReport.md | Adds new comprehensive analysis documentation |
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| elif isinstance(node, ast.ListComp): | ||
| elt_type = self._infer_cpp_type(node.elt, local_vars) | ||
| if not node.generators: | ||
| raise ValueError("List comprehension node has no generators. Malformed AST.") |
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The error message should be more specific about which comprehension type is being processed. Consider changing to 'List comprehension has no generators' for clarity.
| raise ValueError("List comprehension node has no generators. Malformed AST.") | |
| raise ValueError("List comprehension has no generators") |
| elif isinstance(node, ast.DictComp): | ||
| key_type = self._infer_cpp_type(node.key, local_vars) | ||
| value_type = self._infer_cpp_type(node.value, local_vars) | ||
| target = self._translate_expression(node.generators[0].target, local_vars) | ||
| iterable = self._translate_expression(node.generators[0].iter, local_vars) | ||
| key_expr = self._translate_expression(node.key, local_vars) | ||
| value_expr = self._translate_expression(node.value, local_vars) |
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Missing validation for empty generators list in DictComp. Add the same generator validation as in ListComp to prevent potential IndexError when accessing node.generators[0].
| def test_list_comprehension_conversion(tmp_path): | ||
| analyzer = CodeAnalyzer() | ||
| rule_manager = RuleManager() | ||
| rule_manager.register_rule(VariableDeclarationRule()) | ||
| rule_manager.register_rule(FunctionDefinitionRule()) | ||
| rule_manager.register_rule(ClassDefinitionRule()) | ||
| generator = CodeGenerator(rule_manager) |
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The test setup code is duplicated between test_list_comprehension_conversion and test_dict_comprehension_conversion. Consider extracting this common setup into a test fixture to reduce code duplication.
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