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Speedup = (B", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/evaluator.py", "source_location": "L102", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_evaluator_rationale_102", "community": 56, "norm_label": "calculate speedup between baseline and evolved solution. speedup = (b" }, { "label": "Measure baseline performance using the original AlgoTune implementation.", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/evaluator.py", "source_location": "L131", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_evaluator_rationale_131", "community": 56, "norm_label": "measure baseline performance using the original algotune implementation." }, { "label": "Measure evolved solution performance. Args: program: The evo", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/evaluator.py", "source_location": "L192", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_evaluator_rationale_192", "community": 56, "norm_label": "measure evolved solution performance. args: program: the evo" }, { "label": "Enhanced evaluation with baseline comparison for convolve2d_full_fill task.", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/evaluator.py", "source_location": "L261", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_evaluator_rationale_261", "community": 56, "norm_label": "enhanced evaluation with baseline comparison for convolve2d_full_fill task." }, { "label": "First stage evaluation with basic functionality check of the evolved solve metho", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/evaluator.py", "source_location": "L506", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_evaluator_rationale_506", "community": 56, "norm_label": "first stage evaluation with basic functionality check of the evolved solve metho" }, { "label": "Second stage evaluation with more thorough testing of the evolved solve method", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/evaluator.py", "source_location": "L601", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_evaluator_rationale_601", "community": 56, "norm_label": "second stage evaluation with more thorough testing of the evolved solve method" }, { "label": "convolve2d_full_fill/initial_program.py", "file_type": "code", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program", "community": 139, "norm_label": "convolve2d_full_fill/initial_program.py" }, { "label": "Convolve2DFullFill", "file_type": "code", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L59", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_convolve2dfullfill", "community": 139, "norm_label": "convolve2dfullfill" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L65", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_convolve2dfullfill_init", "community": 139, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L70", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_convolve2dfullfill_solve", "community": 139, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L95", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_convolve2dfullfill_is_solution", "community": 139, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L130", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_run_solver", "community": 139, "norm_label": "run_solver()" }, { "label": "Initial implementation of convolve2d_full_fill task. This will be evolved b", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L60", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_rationale_60", "community": 139, "norm_label": "initial implementation of convolve2d_full_fill task. this will be evolved b" }, { "label": "Initialize the Convolve2DFullFill.", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L66", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_rationale_66", "community": 139, "norm_label": "initialize the convolve2dfullfill." }, { "label": "Solve the convolve2d_full_fill problem. Args: pr", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L71", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_rationale_71", "community": 139, "norm_label": "solve the convolve2d_full_fill problem. args: pr" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L96", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_rationale_96", "community": 139, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/convolve2d_full_fill/initial_program.py", "source_location": "L131", "_origin": "ast", "id": "examples_algotune_convolve2d_full_fill_initial_program_rationale_131", "community": 139, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "create_task.py", "file_type": "code", "source_file": "examples/algotune/create_task.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_create_task", "community": 10, "norm_label": "create_task.py" }, { "label": "main()", "file_type": "code", "source_file": "examples/algotune/create_task.py", "source_location": "L14", "_origin": "ast", "id": "examples_algotune_create_task_main", "community": 10, "norm_label": "main()" }, { "label": "Main function to create OpenEvolve task files.", "file_type": "rationale", "source_file": "examples/algotune/create_task.py", "source_location": "L15", "_origin": "ast", "id": "examples_algotune_create_task_rationale_15", "community": 10, "norm_label": "main function to create openevolve task files." }, { "label": "eigenvectors_complex/best_program.py", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program", "community": 140, "norm_label": "eigenvectors_complex/best_program.py" }, { "label": "EigenvectorsComplex", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L62", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_eigenvectorscomplex", "community": 140, "norm_label": "eigenvectorscomplex" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L68", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_eigenvectorscomplex_init", "community": 140, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L72", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_eigenvectorscomplex_solve", "community": 140, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L110", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_eigenvectorscomplex_is_solution", "community": 140, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L182", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_run_solver", "community": 140, "norm_label": "run_solver()" }, { "label": "Initial implementation of eigenvectors_complex task. This will be evolved b", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L63", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_rationale_63", "community": 140, "norm_label": "initial implementation of eigenvectors_complex task. this will be evolved b" }, { "label": "Initialize the EigenvectorsComplex.", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L69", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_rationale_69", "community": 140, "norm_label": "initialize the eigenvectorscomplex." }, { "label": "Solve the eigenvectors_complex problem. Args: pr", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L73", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_rationale_73", "community": 140, "norm_label": "solve the eigenvectors_complex problem. args: pr" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L111", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_rationale_111", "community": 140, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/best_program.py", "source_location": "L183", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_best_program_rationale_183", "community": 140, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "eigenvectors_complex/evaluator.py", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator", "community": 57, "norm_label": "eigenvectors_complex/evaluator.py" }, { "label": "setup_algotune_paths()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L28", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_setup_algotune_paths", "community": 57, "norm_label": "setup_algotune_paths()" }, { "label": "run_with_timeout()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L68", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_run_with_timeout", "community": 57, "norm_label": "run_with_timeout()" }, { "label": "safe_convert()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L89", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_safe_convert", "community": 57, "norm_label": "safe_convert()" }, { "label": "calculate_speedup()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L101", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_calculate_speedup", "community": 57, "norm_label": "calculate_speedup()" }, { "label": "measure_baseline_performance()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L130", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_measure_baseline_performance", "community": 57, "norm_label": "measure_baseline_performance()" }, { "label": "measure_evolved_performance()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L191", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_measure_evolved_performance", "community": 57, "norm_label": "measure_evolved_performance()" }, { "label": "evaluate()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L260", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_evaluate", "community": 57, "norm_label": "evaluate()" }, { "label": "evaluate_stage1()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L505", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_evaluate_stage1", "community": 57, "norm_label": "evaluate_stage1()" }, { "label": "evaluate_stage2()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L600", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_evaluate_stage2", "community": 57, "norm_label": "evaluate_stage2()" }, { "label": "Evaluator for the eigenvectors_complex task with baseline comparison This eva", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_1", "community": 57, "norm_label": "evaluator for the eigenvectors_complex task with baseline comparison this eva" }, { "label": "Setup Python import paths for AlgoTune modules.", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L29", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_29", "community": 57, "norm_label": "setup python import paths for algotune modules." }, { "label": "Run a function with a timeout using concurrent.futures Args: fun", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L69", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_69", "community": 57, "norm_label": "run a function with a timeout using concurrent.futures args: fun" }, { "label": "Convert a value safely for evaluation", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L90", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_90", "community": 57, "norm_label": "convert a value safely for evaluation" }, { "label": "Calculate speedup between baseline and evolved solution. Speedup = (B", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L102", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_102", "community": 57, "norm_label": "calculate speedup between baseline and evolved solution. speedup = (b" }, { "label": "Measure baseline performance using the original AlgoTune implementation.", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L131", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_131", "community": 57, "norm_label": "measure baseline performance using the original algotune implementation." }, { "label": "Measure evolved solution performance. Args: program: The evo", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L192", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_192", "community": 57, "norm_label": "measure evolved solution performance. args: program: the evo" }, { "label": "Enhanced evaluation with baseline comparison for eigenvectors_complex task.", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L261", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_261", "community": 57, "norm_label": "enhanced evaluation with baseline comparison for eigenvectors_complex task." }, { "label": "First stage evaluation with basic functionality check of the evolved solve metho", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L506", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_506", "community": 57, "norm_label": "first stage evaluation with basic functionality check of the evolved solve metho" }, { "label": "Second stage evaluation with more thorough testing of the evolved solve method", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/evaluator.py", "source_location": "L601", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_evaluator_rationale_601", "community": 57, "norm_label": "second stage evaluation with more thorough testing of the evolved solve method" }, { "label": "eigenvectors_complex/initial_program.py", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program", "community": 141, "norm_label": "eigenvectors_complex/initial_program.py" }, { "label": "EigenvectorsComplex", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L62", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_eigenvectorscomplex", "community": 141, "norm_label": "eigenvectorscomplex" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L68", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_eigenvectorscomplex_init", "community": 141, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L72", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_eigenvectorscomplex_solve", "community": 141, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L111", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_eigenvectorscomplex_is_solution", "community": 141, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L183", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_run_solver", "community": 141, "norm_label": "run_solver()" }, { "label": "Initial implementation of eigenvectors_complex task. This will be evolved b", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L63", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_rationale_63", "community": 141, "norm_label": "initial implementation of eigenvectors_complex task. this will be evolved b" }, { "label": "Initialize the EigenvectorsComplex.", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L69", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_rationale_69", "community": 141, "norm_label": "initialize the eigenvectorscomplex." }, { "label": "Solve the eigenvectors_complex problem. Args: pr", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L73", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_rationale_73", "community": 141, "norm_label": "solve the eigenvectors_complex problem. args: pr" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L112", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_rationale_112", "community": 141, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/eigenvectors_complex/initial_program.py", "source_location": "L184", "_origin": "ast", "id": "examples_algotune_eigenvectors_complex_initial_program_rationale_184", "community": 141, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "fft_cmplx_scipy_fftpack/best_program.py", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program", "community": 167, "norm_label": "fft_cmplx_scipy_fftpack/best_program.py" }, { "label": "FFTComplexScipyFFTpack", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L53", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_fftcomplexscipyfftpack", "community": 167, "norm_label": "fftcomplexscipyfftpack" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L60", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_fftcomplexscipyfftpack_solve", "community": 167, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L81", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_fftcomplexscipyfftpack_is_solution", "community": 167, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L115", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_run_solver", "community": 167, "norm_label": "run_solver()" }, { "label": "Initial implementation of fft_cmplx_scipy_fftpack task. This will be evolve", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L54", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_rationale_54", "community": 167, "norm_label": "initial implementation of fft_cmplx_scipy_fftpack task. this will be evolve" }, { "label": "Solve the fft_cmplx_scipy_fftpack problem. Args:", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L61", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_rationale_61", "community": 167, "norm_label": "solve the fft_cmplx_scipy_fftpack problem. args:" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L82", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_rationale_82", "community": 167, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/best_program.py", "source_location": "L116", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_best_program_rationale_116", "community": 167, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "fft_cmplx_scipy_fftpack/evaluator.py", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator", "community": 58, "norm_label": "fft_cmplx_scipy_fftpack/evaluator.py" }, { "label": "setup_algotune_paths()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L28", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_setup_algotune_paths", "community": 58, "norm_label": "setup_algotune_paths()" }, { "label": "run_with_timeout()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L68", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_run_with_timeout", "community": 58, "norm_label": "run_with_timeout()" }, { "label": "safe_convert()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L89", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_safe_convert", "community": 58, "norm_label": "safe_convert()" }, { "label": "calculate_speedup()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L101", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_calculate_speedup", "community": 58, "norm_label": "calculate_speedup()" }, { "label": "measure_baseline_performance()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L130", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_measure_baseline_performance", "community": 58, "norm_label": "measure_baseline_performance()" }, { "label": "measure_evolved_performance()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L191", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_measure_evolved_performance", "community": 58, "norm_label": "measure_evolved_performance()" }, { "label": "evaluate()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L260", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_evaluate", "community": 58, "norm_label": "evaluate()" }, { "label": "evaluate_stage1()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L505", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_evaluate_stage1", "community": 58, "norm_label": "evaluate_stage1()" }, { "label": "evaluate_stage2()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L600", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_evaluate_stage2", "community": 58, "norm_label": "evaluate_stage2()" }, { "label": "Evaluator for the fft_cmplx_scipy_fftpack task with baseline comparison This", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_1", "community": 58, "norm_label": "evaluator for the fft_cmplx_scipy_fftpack task with baseline comparison this" }, { "label": "Setup Python import paths for AlgoTune modules.", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L29", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_29", "community": 58, "norm_label": "setup python import paths for algotune modules." }, { "label": "Run a function with a timeout using concurrent.futures Args: fun", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L69", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_69", "community": 58, "norm_label": "run a function with a timeout using concurrent.futures args: fun" }, { "label": "Convert a value safely for evaluation", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L90", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_90", "community": 58, "norm_label": "convert a value safely for evaluation" }, { "label": "Calculate speedup between baseline and evolved solution. Speedup = (B", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L102", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_102", "community": 58, "norm_label": "calculate speedup between baseline and evolved solution. speedup = (b" }, { "label": "Measure baseline performance using the original AlgoTune implementation.", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L131", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_131", "community": 58, "norm_label": "measure baseline performance using the original algotune implementation." }, { "label": "Measure evolved solution performance. Args: program: The evo", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L192", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_192", "community": 58, "norm_label": "measure evolved solution performance. args: program: the evo" }, { "label": "Enhanced evaluation with baseline comparison for fft_cmplx_scipy_fftpack task.", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L261", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_261", "community": 58, "norm_label": "enhanced evaluation with baseline comparison for fft_cmplx_scipy_fftpack task." }, { "label": "First stage evaluation with basic functionality check of the evolved solve metho", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L506", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_506", "community": 58, "norm_label": "first stage evaluation with basic functionality check of the evolved solve metho" }, { "label": "Second stage evaluation with more thorough testing of the evolved solve method", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/evaluator.py", "source_location": "L601", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_evaluator_rationale_601", "community": 58, "norm_label": "second stage evaluation with more thorough testing of the evolved solve method" }, { "label": "fft_cmplx_scipy_fftpack/initial_program.py", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program", "community": 142, "norm_label": "fft_cmplx_scipy_fftpack/initial_program.py" }, { "label": "FFTComplexScipyFFTpack", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L50", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_fftcomplexscipyfftpack", "community": 142, "norm_label": "fftcomplexscipyfftpack" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L56", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_fftcomplexscipyfftpack_init", "community": 142, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L60", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_fftcomplexscipyfftpack_solve", "community": 142, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L80", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_fftcomplexscipyfftpack_is_solution", "community": 142, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L114", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_run_solver", "community": 142, "norm_label": "run_solver()" }, { "label": "Initial implementation of fft_cmplx_scipy_fftpack task. This will be evolve", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L51", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_rationale_51", "community": 142, "norm_label": "initial implementation of fft_cmplx_scipy_fftpack task. this will be evolve" }, { "label": "Initialize the FFTComplexScipyFFTpack.", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L57", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_rationale_57", "community": 142, "norm_label": "initialize the fftcomplexscipyfftpack." }, { "label": "Solve the fft_cmplx_scipy_fftpack problem. Args:", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L61", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_rationale_61", "community": 142, "norm_label": "solve the fft_cmplx_scipy_fftpack problem. args:" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L81", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_rationale_81", "community": 142, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/fft_cmplx_scipy_fftpack/initial_program.py", "source_location": "L115", "_origin": "ast", "id": "examples_algotune_fft_cmplx_scipy_fftpack_initial_program_rationale_115", "community": 142, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "fft_convolution/best_program.py", "file_type": "code", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program", "community": 143, "norm_label": "fft_convolution/best_program.py" }, { "label": "FFTConvolution", "file_type": "code", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L74", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program_fftconvolution", "community": 143, "norm_label": "fftconvolution" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L80", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program_fftconvolution_init", "community": 143, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L84", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program_fftconvolution_solve", "community": 143, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L159", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program_fftconvolution_is_solution", "community": 143, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L269", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program_run_solver", "community": 143, "norm_label": "run_solver()" }, { "label": "Initial implementation of fft_convolution task. This will be evolved by Ope", "file_type": "rationale", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L75", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program_rationale_75", "community": 143, "norm_label": "initial implementation of fft_convolution task. this will be evolved by ope" }, { "label": "Initialize the FFTConvolution.", "file_type": "rationale", "source_file": "examples/algotune/fft_convolution/best_program.py", "source_location": "L81", "_origin": "ast", "id": "examples_algotune_fft_convolution_best_program_rationale_81", "community": 143, "norm_label": "initialize the fftconvolution." }, { "label": "Solve the fft_convolution problem. 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Speedup = (B", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/evaluator.py", "source_location": "L102", "_origin": "ast", "id": "examples_algotune_lu_factorization_evaluator_rationale_102", "community": 60, "norm_label": "calculate speedup between baseline and evolved solution. speedup = (b" }, { "label": "Measure baseline performance using the original AlgoTune implementation.", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/evaluator.py", "source_location": "L131", "_origin": "ast", "id": "examples_algotune_lu_factorization_evaluator_rationale_131", "community": 60, "norm_label": "measure baseline performance using the original algotune implementation." }, { "label": "Measure evolved solution performance. Args: program: The evo", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/evaluator.py", "source_location": "L192", "_origin": "ast", "id": "examples_algotune_lu_factorization_evaluator_rationale_192", "community": 60, "norm_label": "measure evolved solution performance. args: program: the evo" }, { "label": "Enhanced evaluation with baseline comparison for lu_factorization task.", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/evaluator.py", "source_location": "L261", "_origin": "ast", "id": "examples_algotune_lu_factorization_evaluator_rationale_261", "community": 60, "norm_label": "enhanced evaluation with baseline comparison for lu_factorization task." }, { "label": "First stage evaluation with basic functionality check of the evolved solve metho", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/evaluator.py", "source_location": "L506", "_origin": "ast", "id": "examples_algotune_lu_factorization_evaluator_rationale_506", "community": 60, "norm_label": "first stage evaluation with basic functionality check of the evolved solve metho" }, { "label": "Second stage evaluation with more thorough testing of the evolved solve method", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/evaluator.py", "source_location": "L601", "_origin": "ast", "id": "examples_algotune_lu_factorization_evaluator_rationale_601", "community": 60, "norm_label": "second stage evaluation with more thorough testing of the evolved solve method" }, { "label": "lu_factorization/initial_program.py", "file_type": "code", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program", "community": 146, "norm_label": "lu_factorization/initial_program.py" }, { "label": "LUFactorization", "file_type": "code", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L63", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_lufactorization", "community": 146, "norm_label": "lufactorization" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L69", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_lufactorization_init", "community": 146, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L73", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_lufactorization_solve", "community": 146, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L104", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_lufactorization_is_solution", "community": 146, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L209", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_run_solver", "community": 146, "norm_label": "run_solver()" }, { "label": "Initial implementation of lu_factorization task. This will be evolved by Op", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L64", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_rationale_64", "community": 146, "norm_label": "initial implementation of lu_factorization task. this will be evolved by op" }, { "label": "Initialize the LUFactorization.", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L70", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_rationale_70", "community": 146, "norm_label": "initialize the lufactorization." }, { "label": "Solve the lu_factorization problem. Args: proble", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L74", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_rationale_74", "community": 146, "norm_label": "solve the lu_factorization problem. args: proble" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L105", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_rationale_105", "community": 146, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/lu_factorization/initial_program.py", "source_location": "L210", "_origin": "ast", "id": "examples_algotune_lu_factorization_initial_program_rationale_210", "community": 146, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "polynomial_real/best_program.py", "file_type": "code", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program", "community": 121, "norm_label": "polynomial_real/best_program.py" }, { "label": "_solve_roots_jax()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L50", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_solve_roots_jax", "community": 121, "norm_label": "_solve_roots_jax()" }, { "label": "PolynomialReal", "file_type": "code", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L64", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_polynomialreal", "community": 121, "norm_label": "polynomialreal" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L70", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_polynomialreal_init", "community": 121, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L74", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_polynomialreal_solve", "community": 121, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L115", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_polynomialreal_is_solution", "community": 121, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L155", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_run_solver", "community": 121, "norm_label": "run_solver()" }, { "label": "JIT-compiled function to find polynomial roots using JAX. This function lev", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L51", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_rationale_51", "community": 121, "norm_label": "jit-compiled function to find polynomial roots using jax. this function lev" }, { "label": "Initial implementation of polynomial_real task. This will be evolved by Ope", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L65", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_rationale_65", "community": 121, "norm_label": "initial implementation of polynomial_real task. this will be evolved by ope" }, { "label": "Initialize the PolynomialReal.", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L71", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_rationale_71", "community": 121, "norm_label": "initialize the polynomialreal." }, { "label": "Solve the polynomial_real problem using a JIT-compiled JAX function.", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L75", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_rationale_75", "community": 121, "norm_label": "solve the polynomial_real problem using a jit-compiled jax function." }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L116", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_rationale_116", "community": 121, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/best_program.py", "source_location": "L156", "_origin": "ast", "id": "examples_algotune_polynomial_real_best_program_rationale_156", "community": 121, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "polynomial_real/evaluator.py", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator", "community": 61, "norm_label": "polynomial_real/evaluator.py" }, { "label": "setup_algotune_paths()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L28", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_setup_algotune_paths", "community": 61, "norm_label": "setup_algotune_paths()" }, { "label": "run_with_timeout()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L68", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_run_with_timeout", "community": 61, "norm_label": "run_with_timeout()" }, { "label": "safe_convert()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L89", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_safe_convert", "community": 61, "norm_label": "safe_convert()" }, { "label": "calculate_speedup()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L101", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_calculate_speedup", "community": 61, "norm_label": "calculate_speedup()" }, { "label": "measure_baseline_performance()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L130", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_measure_baseline_performance", "community": 61, "norm_label": "measure_baseline_performance()" }, { "label": "measure_evolved_performance()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L191", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_measure_evolved_performance", "community": 61, "norm_label": "measure_evolved_performance()" }, { "label": "evaluate()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L260", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_evaluate", "community": 61, "norm_label": "evaluate()" }, { "label": "evaluate_stage1()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L505", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_evaluate_stage1", "community": 61, "norm_label": "evaluate_stage1()" }, { "label": "evaluate_stage2()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L600", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_evaluate_stage2", "community": 61, "norm_label": "evaluate_stage2()" }, { "label": "Evaluator for the polynomial_real task with baseline comparison This evaluato", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_1", "community": 61, "norm_label": "evaluator for the polynomial_real task with baseline comparison this evaluato" }, { "label": "Setup Python import paths for AlgoTune modules.", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L29", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_29", "community": 61, "norm_label": "setup python import paths for algotune modules." }, { "label": "Run a function with a timeout using concurrent.futures Args: fun", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L69", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_69", "community": 61, "norm_label": "run a function with a timeout using concurrent.futures args: fun" }, { "label": "Convert a value safely for evaluation", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L90", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_90", "community": 61, "norm_label": "convert a value safely for evaluation" }, { "label": "Calculate speedup between baseline and evolved solution. Speedup = (B", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L102", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_102", "community": 61, "norm_label": "calculate speedup between baseline and evolved solution. speedup = (b" }, { "label": "Measure baseline performance using the original AlgoTune implementation.", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L131", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_131", "community": 61, "norm_label": "measure baseline performance using the original algotune implementation." }, { "label": "Measure evolved solution performance. Args: program: The evo", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L192", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_192", "community": 61, "norm_label": "measure evolved solution performance. args: program: the evo" }, { "label": "Enhanced evaluation with baseline comparison for polynomial_real task.", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L261", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_261", "community": 61, "norm_label": "enhanced evaluation with baseline comparison for polynomial_real task." }, { "label": "First stage evaluation with basic functionality check of the evolved solve metho", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L506", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_506", "community": 61, "norm_label": "first stage evaluation with basic functionality check of the evolved solve metho" }, { "label": "Second stage evaluation with more thorough testing of the evolved solve method", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/evaluator.py", "source_location": "L601", "_origin": "ast", "id": "examples_algotune_polynomial_real_evaluator_rationale_601", "community": 61, "norm_label": "second stage evaluation with more thorough testing of the evolved solve method" }, { "label": "polynomial_real/initial_program.py", "file_type": "code", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program", "community": 147, "norm_label": "polynomial_real/initial_program.py" }, { "label": "PolynomialReal", "file_type": "code", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L47", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_polynomialreal", "community": 147, "norm_label": "polynomialreal" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L53", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_polynomialreal_init", "community": 147, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L57", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_polynomialreal_solve", "community": 147, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L94", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_polynomialreal_is_solution", "community": 147, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L135", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_run_solver", "community": 147, "norm_label": "run_solver()" }, { "label": "Initial implementation of polynomial_real task. This will be evolved by Ope", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L48", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_rationale_48", "community": 147, "norm_label": "initial implementation of polynomial_real task. this will be evolved by ope" }, { "label": "Initialize the PolynomialReal.", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L54", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_rationale_54", "community": 147, "norm_label": "initialize the polynomialreal." }, { "label": "Solve the polynomial_real problem. Args: problem", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L58", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_rationale_58", "community": 147, "norm_label": "solve the polynomial_real problem. args: problem" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L95", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_rationale_95", "community": 147, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/polynomial_real/initial_program.py", "source_location": "L136", "_origin": "ast", "id": "examples_algotune_polynomial_real_initial_program_rationale_136", "community": 147, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "psd_cone_projection/best_program.py", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program", "community": 148, "norm_label": "psd_cone_projection/best_program.py" }, { "label": "PSDConeProjection", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L72", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_psdconeprojection", "community": 148, "norm_label": "psdconeprojection" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L78", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_psdconeprojection_init", "community": 148, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L82", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_psdconeprojection_solve", "community": 148, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L112", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_psdconeprojection_is_solution", "community": 148, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L178", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_run_solver", "community": 148, "norm_label": "run_solver()" }, { "label": "Initial implementation of psd_cone_projection task. This will be evolved by", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L73", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_rationale_73", "community": 148, "norm_label": "initial implementation of psd_cone_projection task. this will be evolved by" }, { "label": "Initialize the PSDConeProjection.", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L79", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_rationale_79", "community": 148, "norm_label": "initialize the psdconeprojection." }, { "label": "Solve the psd_cone_projection problem. Args: pro", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L83", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_rationale_83", "community": 148, "norm_label": "solve the psd_cone_projection problem. args: pro" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L113", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_rationale_113", "community": 148, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/best_program.py", "source_location": "L179", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_best_program_rationale_179", "community": 148, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "psd_cone_projection/evaluator.py", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator", "community": 62, "norm_label": "psd_cone_projection/evaluator.py" }, { "label": "setup_algotune_paths()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L28", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_setup_algotune_paths", "community": 62, "norm_label": "setup_algotune_paths()" }, { "label": "run_with_timeout()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L68", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_run_with_timeout", "community": 62, "norm_label": "run_with_timeout()" }, { "label": "safe_convert()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L89", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_safe_convert", "community": 62, "norm_label": "safe_convert()" }, { "label": "calculate_speedup()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L101", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_calculate_speedup", "community": 62, "norm_label": "calculate_speedup()" }, { "label": "measure_baseline_performance()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L130", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_measure_baseline_performance", "community": 62, "norm_label": "measure_baseline_performance()" }, { "label": "measure_evolved_performance()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L191", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_measure_evolved_performance", "community": 62, "norm_label": "measure_evolved_performance()" }, { "label": "evaluate()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L260", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_evaluate", "community": 62, "norm_label": "evaluate()" }, { "label": "evaluate_stage1()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L505", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_evaluate_stage1", "community": 62, "norm_label": "evaluate_stage1()" }, { "label": "evaluate_stage2()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L600", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_evaluate_stage2", "community": 62, "norm_label": "evaluate_stage2()" }, { "label": "Evaluator for the psd_cone_projection task with baseline comparison This eval", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_1", "community": 62, "norm_label": "evaluator for the psd_cone_projection task with baseline comparison this eval" }, { "label": "Setup Python import paths for AlgoTune modules.", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L29", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_29", "community": 62, "norm_label": "setup python import paths for algotune modules." }, { "label": "Run a function with a timeout using concurrent.futures Args: fun", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L69", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_69", "community": 62, "norm_label": "run a function with a timeout using concurrent.futures args: fun" }, { "label": "Convert a value safely for evaluation", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L90", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_90", "community": 62, "norm_label": "convert a value safely for evaluation" }, { "label": "Calculate speedup between baseline and evolved solution. Speedup = (B", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L102", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_102", "community": 62, "norm_label": "calculate speedup between baseline and evolved solution. speedup = (b" }, { "label": "Measure baseline performance using the original AlgoTune implementation.", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L131", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_131", "community": 62, "norm_label": "measure baseline performance using the original algotune implementation." }, { "label": "Measure evolved solution performance. Args: program: The evo", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L192", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_192", "community": 62, "norm_label": "measure evolved solution performance. args: program: the evo" }, { "label": "Enhanced evaluation with baseline comparison for psd_cone_projection task.", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L261", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_261", "community": 62, "norm_label": "enhanced evaluation with baseline comparison for psd_cone_projection task." }, { "label": "First stage evaluation with basic functionality check of the evolved solve metho", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L506", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_506", "community": 62, "norm_label": "first stage evaluation with basic functionality check of the evolved solve metho" }, { "label": "Second stage evaluation with more thorough testing of the evolved solve method", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/evaluator.py", "source_location": "L601", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_evaluator_rationale_601", "community": 62, "norm_label": "second stage evaluation with more thorough testing of the evolved solve method" }, { "label": "psd_cone_projection/initial_program.py", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program", "community": 149, "norm_label": "psd_cone_projection/initial_program.py" }, { "label": "PSDConeProjection", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L72", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_psdconeprojection", "community": 149, "norm_label": "psdconeprojection" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L78", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_psdconeprojection_init", "community": 149, "norm_label": ".__init__()" }, { "label": ".solve()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L82", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_psdconeprojection_solve", "community": 149, "norm_label": ".solve()" }, { "label": ".is_solution()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L115", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_psdconeprojection_is_solution", "community": 149, "norm_label": ".is_solution()" }, { "label": "run_solver()", "file_type": "code", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L181", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_run_solver", "community": 149, "norm_label": "run_solver()" }, { "label": "Initial implementation of psd_cone_projection task. This will be evolved by", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L73", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_rationale_73", "community": 149, "norm_label": "initial implementation of psd_cone_projection task. this will be evolved by" }, { "label": "Initialize the PSDConeProjection.", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L79", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_rationale_79", "community": 149, "norm_label": "initialize the psdconeprojection." }, { "label": "Solve the psd_cone_projection problem. Args: pro", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L83", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_rationale_83", "community": 149, "norm_label": "solve the psd_cone_projection problem. args: pro" }, { "label": "Check if the provided solution is valid. Args: p", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L116", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_rationale_116", "community": 149, "norm_label": "check if the provided solution is valid. args: p" }, { "label": "Main function to run the solver. This function is used by the evaluator to", "file_type": "rationale", "source_file": "examples/algotune/psd_cone_projection/initial_program.py", "source_location": "L182", "_origin": "ast", "id": "examples_algotune_psd_cone_projection_initial_program_rationale_182", "community": 149, "norm_label": "main function to run the solver. this function is used by the evaluator to" }, { "label": "run_benchmark.py", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_run_benchmark", "community": 85, "norm_label": "run_benchmark.py" }, { "label": "parse_args()", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L27", "_origin": "ast", "id": "examples_algotune_run_benchmark_parse_args", "community": 85, "norm_label": "parse_args()" }, { "label": "Namespace", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_algotune_run_benchmark_py_namespace", "community": 85, "norm_label": "namespace" }, { "label": "discover_algotune_tasks()", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L82", "_origin": "ast", "id": "examples_algotune_run_benchmark_discover_algotune_tasks", "community": 85, "norm_label": "discover_algotune_tasks()" }, { "label": "Path", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_algotune_run_benchmark_py_path", "community": 85, "norm_label": "path" }, { "label": "run_openevolve_task()", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L105", "_origin": "ast", "id": "examples_algotune_run_benchmark_run_openevolve_task", "community": 85, "norm_label": "run_openevolve_task()" }, { "label": "Any", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_algotune_run_benchmark_py_any", "community": 85, "norm_label": "any" }, { "label": "parse_task_results()", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L209", "_origin": "ast", "id": "examples_algotune_run_benchmark_parse_task_results", "community": 85, "norm_label": "parse_task_results()" }, { "label": "calculate_algotune_score()", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L275", "_origin": "ast", "id": "examples_algotune_run_benchmark_calculate_algotune_score", "community": 85, "norm_label": "calculate_algotune_score()" }, { "label": "generate_summary()", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L297", "_origin": "ast", "id": "examples_algotune_run_benchmark_generate_summary", "community": 85, "norm_label": "generate_summary()" }, { "label": "main()", "file_type": "code", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L334", "_origin": "ast", "id": "examples_algotune_run_benchmark_main", "community": 85, "norm_label": "main()" }, { "label": "Parse command-line arguments.", "file_type": "rationale", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L28", "_origin": "ast", "id": "examples_algotune_run_benchmark_rationale_28", "community": 85, "norm_label": "parse command-line arguments." }, { "label": "Discover all AlgoTune task directories. Args: algotune_dir:", "file_type": "rationale", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L83", "_origin": "ast", "id": "examples_algotune_run_benchmark_rationale_83", "community": 85, "norm_label": "discover all algotune task directories. args: algotune_dir:" }, { "label": "Run OpenEvolve on a single AlgoTune task. Args: task_name: N", "file_type": "rationale", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L113", "_origin": "ast", "id": "examples_algotune_run_benchmark_rationale_113", "community": 85, "norm_label": "run openevolve on a single algotune task. args: task_name: n" }, { "label": "Parse OpenEvolve results from the output directory. Args: ta", "file_type": "rationale", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L210", "_origin": "ast", "id": "examples_algotune_run_benchmark_rationale_210", "community": 85, "norm_label": "parse openevolve results from the output directory. args: ta" }, { "label": "Calculate AlgoTune Score as harmonic mean of speedups. Args:", "file_type": "rationale", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L276", "_origin": "ast", "id": "examples_algotune_run_benchmark_rationale_276", "community": 85, "norm_label": "calculate algotune score as harmonic mean of speedups. args:" }, { "label": "Generate summary statistics from task results. Args: task_re", "file_type": "rationale", "source_file": "examples/algotune/run_benchmark.py", "source_location": "L298", "_origin": "ast", "id": "examples_algotune_run_benchmark_rationale_298", "community": 85, "norm_label": "generate summary statistics from task results. args: task_re" }, { "label": "task_adapter.py", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L1", "_origin": "ast", "id": "examples_algotune_task_adapter", "community": 10, "norm_label": "task_adapter.py" }, { "label": "AlgoTuneTaskAdapter", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L19", "_origin": "ast", "id": "examples_algotune_task_adapter_algotunetaskadapter", "community": 10, "norm_label": "algotunetaskadapter" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L22", "_origin": "ast", "id": "examples_algotune_task_adapter_algotunetaskadapter_init", "community": 10, "norm_label": ".__init__()" }, { "label": "._setup_import_paths()", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L56", "_origin": "ast", "id": "examples_algotune_task_adapter_algotunetaskadapter_setup_import_paths", "community": 10, "norm_label": "._setup_import_paths()" }, { "label": "._load_tasks()", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L74", "_origin": "ast", "id": "examples_algotune_task_adapter_algotunetaskadapter_load_tasks", "community": 10, "norm_label": "._load_tasks()" }, { "label": ".get_task_description()", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L94", "_origin": "ast", "id": "examples_algotune_task_adapter_algotunetaskadapter_get_task_description", "community": 10, "norm_label": ".get_task_description()" }, { "label": "._extract_task_class_info()", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L103", "_origin": "ast", "id": "examples_algotune_task_adapter_algotunetaskadapter_extract_task_class_info", "community": 10, "norm_label": "._extract_task_class_info()" }, { "label": "Any", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_algotune_task_adapter_py_any", "community": 10, "norm_label": "any" }, { "label": "._harmonize_solve_and_is_solution()", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L246", "_origin": "ast", "id": "examples_algotune_task_adapter_algotunetaskadapter_harmonize_solve_and_is_solution", "community": 10, "norm_label": "._harmonize_solve_and_is_solution()" }, { "label": "._clean_init_method()", "file_type": "code", "source_file": "examples/algotune/task_adapter.py", "source_location": "L331", "_origin": "ast", "id": 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"examples/attention_optimization/evaluator.py", "source_location": "L147", "_origin": "ast", "id": "examples_attention_optimization_evaluator_rationale_147", "community": 78, "norm_label": "apply mlir optimization passes based on parameters" }, { "label": "Main evaluation function called by OpenEvolve", "file_type": "rationale", "source_file": "examples/attention_optimization/evaluator.py", "source_location": "L194", "_origin": "ast", "id": "examples_attention_optimization_evaluator_rationale_194", "community": 78, "norm_label": "main evaluation function called by openevolve" }, { "label": "Entry point for OpenEvolve", "file_type": "rationale", "source_file": "examples/attention_optimization/evaluator.py", "source_location": "L290", "_origin": "ast", "id": "examples_attention_optimization_evaluator_rationale_290", "community": 78, "norm_label": "entry point for openevolve" }, { "label": "attention_optimization/initial_program.py", "file_type": "code", "source_file": 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iterative agent output." }, { "label": "Generate comparison plot.", "file_type": "rationale", "source_file": "examples/k_module_problem/compare_results.py", "source_location": "L124", "_origin": "ast", "id": "examples_k_module_problem_compare_results_rationale_124", "community": 159, "norm_label": "generate comparison plot." }, { "label": "Print summary comparison.", "file_type": "rationale", "source_file": "examples/k_module_problem/compare_results.py", "source_location": "L214", "_origin": "ast", "id": "examples_k_module_problem_compare_results_rationale_214", "community": 159, "norm_label": "print summary comparison." }, { "label": "k_module_problem/evaluator.py", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_k_module_problem_evaluator", "community": 16, "norm_label": "k_module_problem/evaluator.py" }, { "label": "evaluate()", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L48", "_origin": "ast", "id": "examples_k_module_problem_evaluator_evaluate", "community": 16, "norm_label": "evaluate()" }, { "label": "validate_config()", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L110", "_origin": "ast", "id": "examples_k_module_problem_evaluator_validate_config", "community": 16, "norm_label": "validate_config()" }, { "label": "score_config()", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L131", "_origin": "ast", "id": "examples_k_module_problem_evaluator_score_config", "community": 16, "norm_label": "score_config()" }, { "label": "build_artifacts()", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L150", "_origin": "ast", "id": "examples_k_module_problem_evaluator_build_artifacts", "community": 16, "norm_label": "build_artifacts()" }, { "label": "_error_result()", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L209", "_origin": "ast", "id": "examples_k_module_problem_evaluator_error_result", "community": 16, "norm_label": "_error_result()" }, { "label": "_validation_error_result()", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L225", "_origin": "ast", "id": "examples_k_module_problem_evaluator_validation_error_result", "community": 16, "norm_label": "_validation_error_result()" }, { "label": "_exception_result()", "file_type": "code", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L242", "_origin": "ast", "id": "examples_k_module_problem_evaluator_exception_result", "community": 16, "norm_label": "_exception_result()" }, { "label": "Exception", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_k_module_problem_evaluator_py_exception", "community": 16, "norm_label": "exception" }, { "label": "Evaluator for K-Module Pipeline Configuration Problem This evaluator scores p", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_1", "community": 16, "norm_label": "evaluator for k-module pipeline configuration problem this evaluator scores p" }, { "label": "Evaluate a pipeline configuration program. Args: program_path: P", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L49", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_49", "community": 16, "norm_label": "evaluate a pipeline configuration program. args: program_path: p" }, { "label": "Validate that the configuration has valid values.", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L111", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_111", "community": 16, "norm_label": "validate that the configuration has valid values." }, { "label": "Score the configuration against the target. Returns: tuple: (cor", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L132", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_132", "community": 16, "norm_label": "score the configuration against the target. returns: tuple: (cor" }, { "label": "Build artifacts that provide useful feedback. In normal mode: Only reveal", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L151", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_151", "community": 16, "norm_label": "build artifacts that provide useful feedback. in normal mode: only reveal" }, { "label": "Return an error result.", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L210", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_210", "community": 16, "norm_label": "return an error result." }, { "label": "Return a validation error result.", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L226", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_226", "community": 16, "norm_label": "return a validation error result." }, { "label": "Return an exception result.", "file_type": "rationale", "source_file": "examples/k_module_problem/evaluator.py", "source_location": "L243", "_origin": "ast", "id": "examples_k_module_problem_evaluator_rationale_243", "community": 16, "norm_label": "return an exception result." }, { "label": "k_module_problem/initial_program.py", "file_type": "code", "source_file": "examples/k_module_problem/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_k_module_problem_initial_program", "community": 217, "norm_label": "k_module_problem/initial_program.py" }, { "label": "configure_pipeline()", "file_type": "code", "source_file": "examples/k_module_problem/initial_program.py", "source_location": "L18", "_origin": "ast", "id": "examples_k_module_problem_initial_program_configure_pipeline", "community": 217, "norm_label": "configure_pipeline()" }, { "label": "run_pipeline()", "file_type": "code", "source_file": "examples/k_module_problem/initial_program.py", "source_location": "L50", "_origin": "ast", "id": "examples_k_module_problem_initial_program_run_pipeline", "community": 217, "norm_label": "run_pipeline()" }, { "label": "Configure a data processing pipeline with 4 independent modules. Each mod", "file_type": "rationale", "source_file": "examples/k_module_problem/initial_program.py", "source_location": "L19", "_origin": "ast", "id": "examples_k_module_problem_initial_program_rationale_19", "community": 217, "norm_label": "configure a data processing pipeline with 4 independent modules. each mod" }, { "label": "Run the pipeline configuration (entry point for evaluator).", "file_type": "rationale", "source_file": "examples/k_module_problem/initial_program.py", "source_location": "L51", "_origin": "ast", "id": "examples_k_module_problem_initial_program_rationale_51", "community": 217, "norm_label": "run the pipeline configuration (entry point for evaluator)." }, { "label": "iterative_agent.py", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L1", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent", "community": 16, "norm_label": "iterative_agent.py" }, { "label": "load_config()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L31", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_load_config", "community": 16, "norm_label": "load_config()" }, { "label": "extract_code_block()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L37", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_extract_code_block", "community": 16, "norm_label": "extract_code_block()" }, { "label": "read_program()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L55", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_read_program", "community": 16, "norm_label": "read_program()" }, { "label": "write_program()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L61", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_write_program", "community": 16, "norm_label": "write_program()" }, { "label": "format_rich_feedback()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L67", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_format_rich_feedback", "community": 16, "norm_label": "format_rich_feedback()" }, { "label": "create_improvement_prompt()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L87", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_create_improvement_prompt", "community": 16, "norm_label": "create_improvement_prompt()" }, { "label": "run_iterative_refinement()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L161", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_run_iterative_refinement", "community": 16, "norm_label": "run_iterative_refinement()" }, { "label": "main()", "file_type": "code", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L315", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_main", "community": 16, "norm_label": "main()" }, { "label": "Load configuration from YAML file.", "file_type": "rationale", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L32", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_rationale_32", "community": 16, "norm_label": "load configuration from yaml file." }, { "label": "Extract Python code from LLM response.", "file_type": "rationale", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L38", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_rationale_38", "community": 16, "norm_label": "extract python code from llm response." }, { "label": "Read program from file.", "file_type": "rationale", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L56", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_rationale_56", "community": 16, "norm_label": "read program from file." }, { "label": "Write program to file.", "file_type": "rationale", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L62", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_rationale_62", "community": 16, "norm_label": "write program to file." }, { "label": "Format rich feedback if available (RICH_FEEDBACK=1).", "file_type": "rationale", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L68", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_rationale_68", "community": 16, "norm_label": "format rich feedback if available (rich_feedback=1)." }, { "label": "Create prompt asking LLM to improve the program.", "file_type": "rationale", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L94", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_rationale_94", "community": 16, "norm_label": "create prompt asking llm to improve the program." }, { "label": "Run iterative refinement loop. Returns: dict with results includ", "file_type": "rationale", "source_file": "examples/k_module_problem/iterative_agent.py", "source_location": "L168", "_origin": "ast", "id": "examples_k_module_problem_iterative_agent_rationale_168", "community": 16, "norm_label": "run iterative refinement loop. returns: dict with results includ" }, { "label": "run_iterative.sh", "file_type": "code", "source_file": "examples/k_module_problem/run_iterative.sh", "source_location": "L1", "metadata": { "language": "bash", "kind": "file" }, "_origin": "ast", "id": "examples_k_module_problem_run_iterative", "community": 237, "norm_label": "run_iterative.sh" }, { "label": "run_iterative.sh script", "file_type": "code", "source_file": "examples/k_module_problem/run_iterative.sh", "source_location": "L1", "metadata": { "language": "bash", "kind": "bash_entrypoint" }, "_origin": "ast", "id": "examples_k_module_problem_run_iterative_sh__entry", "community": 237, "norm_label": "run_iterative.sh script" }, { "label": "MODEL_PROVIDER", "file_type": "code", "source_file": "examples/k_module_problem/run_iterative.sh", "source_location": "L63", "metadata": { "language": "bash", "kind": "code" }, "_origin": "ast", "id": "examples_k_module_problem_run_iterative_model_provider", "community": 237, "norm_label": "model_provider" }, { "label": "run_iterative_trials.py", "file_type": "code", "source_file": "examples/k_module_problem/run_iterative_trials.py", "source_location": "L1", "_origin": "ast", "id": "examples_k_module_problem_run_iterative_trials", "community": 16, "norm_label": "run_iterative_trials.py" }, { "label": "run_trials()", "file_type": "code", "source_file": "examples/k_module_problem/run_iterative_trials.py", "source_location": "L16", "_origin": "ast", "id": "examples_k_module_problem_run_iterative_trials_run_trials", "community": 16, "norm_label": "run_trials()" }, { "label": "Run multiple trials and collect statistics.", "file_type": "rationale", "source_file": "examples/k_module_problem/run_iterative_trials.py", "source_location": "L17", "_origin": "ast", "id": "examples_k_module_problem_run_iterative_trials_rationale_17", "community": 16, "norm_label": "run multiple trials and collect statistics." }, { "label": "run_openevolve.sh", "file_type": "code", "source_file": "examples/k_module_problem/run_openevolve.sh", "source_location": "L1", "metadata": { "language": "bash", "kind": "file" }, "_origin": "ast", "id": "examples_k_module_problem_run_openevolve", "community": 248, "norm_label": "run_openevolve.sh" }, { "label": "run_openevolve.sh script", "file_type": "code", "source_file": "examples/k_module_problem/run_openevolve.sh", "source_location": "L1", "metadata": { "language": "bash", "kind": "bash_entrypoint" }, "_origin": "ast", "id": "examples_k_module_problem_run_openevolve_sh__entry", "community": 248, "norm_label": "run_openevolve.sh script" }, { "label": "run_openevolve_trials.py", "file_type": "code", "source_file": "examples/k_module_problem/run_openevolve_trials.py", "source_location": "L1", "_origin": "ast", "id": "examples_k_module_problem_run_openevolve_trials", "community": 69, "norm_label": "run_openevolve_trials.py" }, { "label": "run_trial()", "file_type": "code", "source_file": "examples/k_module_problem/run_openevolve_trials.py", "source_location": "L15", "_origin": "ast", "id": "examples_k_module_problem_run_openevolve_trials_run_trial", "community": 69, "norm_label": "run_trial()" }, { "label": "run_trials()", "file_type": "code", "source_file": "examples/k_module_problem/run_openevolve_trials.py", "source_location": "L97", "_origin": "ast", "id": "examples_k_module_problem_run_openevolve_trials_run_trials", "community": 69, "norm_label": "run_trials()" }, { "label": "Run a single OpenEvolve trial.", "file_type": "rationale", "source_file": "examples/k_module_problem/run_openevolve_trials.py", "source_location": "L16", "_origin": "ast", "id": "examples_k_module_problem_run_openevolve_trials_rationale_16", "community": 69, "norm_label": "run a single openevolve trial." }, { "label": "Run multiple trials and collect statistics.", "file_type": "rationale", "source_file": "examples/k_module_problem/run_openevolve_trials.py", "source_location": "L98", "_origin": "ast", "id": "examples_k_module_problem_run_openevolve_trials_rationale_98", "community": 69, "norm_label": "run multiple trials and collect statistics." }, { "label": "run_random_baseline.py", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L1", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline", "community": 115, "norm_label": "run_random_baseline.py" }, { "label": "generate_random_config()", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L28", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_generate_random_config", "community": 115, "norm_label": "generate_random_config()" }, { "label": "score_config()", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L36", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_score_config", "community": 115, "norm_label": "score_config()" }, { "label": "run_random_search()", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L44", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_run_random_search", "community": 115, "norm_label": "run_random_search()" }, { "label": "run_multiple_trials()", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L77", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_run_multiple_trials", "community": 115, "norm_label": "run_multiple_trials()" }, { "label": "calculate_pass_at_k()", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L95", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_calculate_pass_at_k", "community": 115, "norm_label": "calculate_pass_at_k()" }, { "label": "theoretical_pass_at_k()", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L118", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_theoretical_pass_at_k", "community": 115, "norm_label": "theoretical_pass_at_k()" }, { "label": "main()", "file_type": "code", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L125", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_main", "community": 115, "norm_label": "main()" }, { "label": "Generate a random pipeline configuration.", "file_type": "rationale", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L29", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_rationale_29", "community": 115, "norm_label": "generate a random pipeline configuration." }, { "label": "Score a configuration (number of correct modules).", "file_type": "rationale", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L37", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_rationale_37", "community": 115, "norm_label": "score a configuration (number of correct modules)." }, { "label": "Run random search until solution found or max_samples reached. Returns:", "file_type": "rationale", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L45", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_rationale_45", "community": 115, "norm_label": "run random search until solution found or max_samples reached. returns:" }, { "label": "Run multiple independent trials of random search.", "file_type": "rationale", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L78", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_rationale_78", "community": 115, "norm_label": "run multiple independent trials of random search." }, { "label": "Calculate pass@k metrics. pass@k = probability of finding solution within", "file_type": "rationale", "source_file": "examples/k_module_problem/run_random_baseline.py", "source_location": "L96", "_origin": "ast", "id": "examples_k_module_problem_run_random_baseline_rationale_96", "community": 115, 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"examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L686", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_test_single_sequence_memory_safe", "community": 7, "norm_label": "._test_single_sequence_memory_safe()" }, { "label": "._command_buffer_protected_benchmark()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L780", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_command_buffer_protected_benchmark", "community": 7, "norm_label": "._command_buffer_protected_benchmark()" }, { "label": "._ensure_clean_gpu_state()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L911", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_ensure_clean_gpu_state", "community": 7, "norm_label": "._ensure_clean_gpu_state()" }, { "label": "._gpu_protected_apply_hook()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L924", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_gpu_protected_apply_hook", "community": 7, "norm_label": "._gpu_protected_apply_hook()" }, { "label": "._apply_attention_hook_safely()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L939", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_apply_attention_hook_safely", "community": 7, "norm_label": "._apply_attention_hook_safely()" }, { "label": "._gpu_protected_remove_hook()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L958", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_gpu_protected_remove_hook", "community": 7, "norm_label": "._gpu_protected_remove_hook()" }, { "label": "._remove_attention_hook_safely()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L971", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_remove_attention_hook_safely", "community": 7, "norm_label": "._remove_attention_hook_safely()" }, { "label": "._create_bulletproof_execution_environment()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L978", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_create_bulletproof_execution_environment", "community": 7, "norm_label": "._create_bulletproof_execution_environment()" }, { "label": "._get_safe_benchmark_configs()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1008", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_get_safe_benchmark_configs", "community": 7, "norm_label": "._get_safe_benchmark_configs()" }, { "label": "._ensure_standard_attention()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1036", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_ensure_standard_attention", "community": 7, "norm_label": "._ensure_standard_attention()" }, { "label": "._store_enhanced_baseline_metrics()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1047", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_store_enhanced_baseline_metrics", "community": 70, "norm_label": "._store_enhanced_baseline_metrics()" }, { "label": "._analyze_performance_with_safety_metrics()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1073", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_analyze_performance_with_safety_metrics", "community": 179, "norm_label": "._analyze_performance_with_safety_metrics()" }, { "label": "._safe_calculate_improvement()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1209", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_safe_calculate_improvement", "community": 179, "norm_label": "._safe_calculate_improvement()" }, { "label": "._calculate_safety_score()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1219", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_calculate_safety_score", "community": 179, "norm_label": "._calculate_safety_score()" }, { "label": "._calculate_safety_adjusted_score()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1234", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_calculate_safety_adjusted_score", "community": 7, "norm_label": "._calculate_safety_adjusted_score()" }, { "label": "._generate_comprehensive_summary()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1279", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_generate_comprehensive_summary", "community": 7, "norm_label": "._generate_comprehensive_summary()" }, { "label": "._get_comprehensive_error_statistics()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1321", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_get_comprehensive_error_statistics", "community": 7, "norm_label": "._get_comprehensive_error_statistics()" }, { "label": "._print_bulletproof_evaluation_results()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1350", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_print_bulletproof_evaluation_results", "community": 7, "norm_label": "._print_bulletproof_evaluation_results()" }, { "label": "._create_comprehensive_failure_result()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1406", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_create_comprehensive_failure_result", "community": 7, "norm_label": "._create_comprehensive_failure_result()" }, { "label": "._result_to_dict()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1420", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_bulletproofmetalevaluator_result_to_dict", "community": 179, "norm_label": "._result_to_dict()" }, { "label": "evaluate()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1432", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_evaluate", "community": 70, "norm_label": "evaluate()" }, { "label": "test_bulletproof_evaluator()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1438", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_test_bulletproof_evaluator", "community": 70, "norm_label": "test_bulletproof_evaluator()" }, { "label": "\ud83d\udee1\ufe0f BULLETPROOF METAL KERNEL EVALUATOR \ud83d\udee1\ufe0f This evaluator provides MAXIMUM prot", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1", "community": 70, "norm_label": "\ud83d\udee1\ufe0f bulletproof metal kernel evaluator \ud83d\udee1\ufe0f this evaluator provides maximum prot" }, { "label": "Metal kernel safety violation", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L49", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_49", "community": 70, "norm_label": "metal kernel safety violation" }, { "label": "GPU command buffer execution error", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L55", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_55", "community": 70, "norm_label": "gpu command buffer execution error" }, { "label": "Metal kernel memory access violation", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L61", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_61", "community": 70, "norm_label": "metal kernel memory access violation" }, { "label": "Bulletproof evaluator that NEVER crashes from Metal kernel failures", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L67", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_67", "community": 7, "norm_label": "bulletproof evaluator that never crashes from metal kernel failures" }, { "label": "BULLETPROOF evaluation that handles ALL Metal kernel failures: 1. Enhan", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L106", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_106", "community": 7, "norm_label": "bulletproof evaluation that handles all metal kernel failures: 1. enhan" }, { "label": "Reset all error tracking counters", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L222", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_222", "community": 7, "norm_label": "reset all error tracking counters" }, { "label": "Bulletproof extraction with comprehensive Metal kernel validation", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L232", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_232", "community": 7, "norm_label": "bulletproof extraction with comprehensive metal kernel validation" }, { "label": "Static analysis of Metal kernel syntax for common safety issues", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L314", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_314", "community": 7, "norm_label": "static analysis of metal kernel syntax for common safety issues" }, { "label": "Comprehensive validation of custom attention class", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L351", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_351", "community": 7, "norm_label": "comprehensive validation of custom attention class" }, { "label": "Pre-execution validation of Metal kernel safety", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L374", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_374", "community": 7, "norm_label": "pre-execution validation of metal kernel safety" }, { "label": "Execute function with maximum GPU and Metal kernel protection", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L427", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_427", "community": 7, "norm_label": "execute function with maximum gpu and metal kernel protection" }, { "label": "GPU-protected baseline measurement with enhanced error handling", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L468", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_468", "community": 7, "norm_label": "gpu-protected baseline measurement with enhanced error handling" }, { "label": "Memory-safe correctness testing with GPU protection", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L545", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_545", "community": 7, "norm_label": "memory-safe correctness testing with gpu protection" }, { "label": "Test single sequence with enhanced memory safety", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L689", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_689", "community": 7, "norm_label": "test single sequence with enhanced memory safety" }, { "label": "Command-buffer-protected benchmarking with maximum safety", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L783", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_783", "community": 7, "norm_label": "command-buffer-protected benchmarking with maximum safety" }, { "label": "Ensure clean GPU state before operations", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L912", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_912", "community": 7, "norm_label": "ensure clean gpu state before operations" }, { "label": "GPU-protected application of custom attention hook", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L925", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_925", "community": 7, "norm_label": "gpu-protected application of custom attention hook" }, { "label": "Safely apply attention hook", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L940", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_940", "community": 7, "norm_label": "safely apply attention hook" }, { "label": "GPU-protected removal of custom attention hook", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L959", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_959", "community": 7, "norm_label": "gpu-protected removal of custom attention hook" }, { "label": "Safely remove attention hook", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L972", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_972", "community": 7, "norm_label": "safely remove attention hook" }, { "label": "Create bulletproof execution environment with enhanced imports", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L979", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_979", "community": 7, "norm_label": "create bulletproof execution environment with enhanced imports" }, { "label": "Get safer benchmark configurations for GPU protection", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1009", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1009", "community": 7, "norm_label": "get safer benchmark configurations for gpu protection" }, { "label": "Ensure standard attention is active", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1037", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1037", "community": 7, "norm_label": "ensure standard attention is active" }, { "label": "Store enhanced baseline metrics", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1048", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1048", "community": 70, "norm_label": "store enhanced baseline metrics" }, { "label": "Analyze performance with enhanced safety metrics", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1076", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1076", "community": 179, "norm_label": "analyze performance with enhanced safety metrics" }, { "label": "Safely calculate percentage improvement with bounds", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1210", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1210", "community": 179, "norm_label": "safely calculate percentage improvement with bounds" }, { "label": "Calculate overall safety score based on error statistics", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1220", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1220", "community": 179, "norm_label": "calculate overall safety score based on error statistics" }, { "label": "Calculate final score adjusted for safety", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1237", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1237", "community": 7, "norm_label": "calculate final score adjusted for safety" }, { "label": "Generate comprehensive evaluation summary with safety info", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1282", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1282", "community": 7, "norm_label": "generate comprehensive evaluation summary with safety info" }, { "label": "Get comprehensive error statistics", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1322", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1322", "community": 7, "norm_label": "get comprehensive error statistics" }, { "label": "Print comprehensive bulletproof evaluation results", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1351", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1351", "community": 7, "norm_label": "print comprehensive bulletproof evaluation results" }, { "label": "Create comprehensive failure result with full error statistics", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1407", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1407", "community": 7, "norm_label": "create comprehensive failure result with full error statistics" }, { "label": "Convert BenchmarkResult to dictionary", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1421", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1421", "community": 179, "norm_label": "convert benchmarkresult to dictionary" }, { "label": "\ud83d\udee1\ufe0f BULLETPROOF evaluation function called by OpenEvolve", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1433", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1433", "community": 70, "norm_label": "\ud83d\udee1\ufe0f bulletproof evaluation function called by openevolve" }, { "label": "Test the bulletproof Metal kernel evaluator", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L1439", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_1439", "community": 70, "norm_label": "test the bulletproof metal kernel evaluator" }, { "label": "# NOTE: This should reflect the default model used by this evaluator:", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L380", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_380", "community": 70, "norm_label": "# note: this should reflect the default model used by this evaluator:" }, { "label": "# IMPORTANT: Match the real inference dtype used by the default model", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/evaluator.py", "source_location": "L585", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_evaluator_rationale_585", "community": 70, "norm_label": "# important: match the real inference dtype used by the default model" }, { "label": "mlx_metal_kernel_opt/initial_program.py", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program", "community": 99, "norm_label": "mlx_metal_kernel_opt/initial_program.py" }, { "label": "qwen3_custom_gqa_attention()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L24", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_qwen3_custom_gqa_attention", "community": 99, "norm_label": "qwen3_custom_gqa_attention()" }, { "label": "CustomGQAAttention", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L241", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_customgqaattention", "community": 99, "norm_label": "customgqaattention" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L249", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_customgqaattention_init", "community": 99, "norm_label": ".__init__()" }, { "label": ".__call__()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L290", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_customgqaattention_call", "community": 99, "norm_label": ".__call__()" }, { "label": "array", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_py_array", "community": 99, "norm_label": "array" }, { "label": "Any", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_py_any", "community": 99, "norm_label": "any" }, { "label": "create_metal_qwen3_optimization_hook()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L324", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_create_metal_qwen3_optimization_hook", "community": 99, "norm_label": "create_metal_qwen3_optimization_hook()" }, { "label": "benchmark_metal_gqa_optimization()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L360", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_benchmark_metal_gqa_optimization", "community": 99, "norm_label": "benchmark_metal_gqa_optimization()" }, { "label": "test_metal_gqa_correctness()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L422", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_test_metal_gqa_correctness", "community": 99, "norm_label": "test_metal_gqa_correctness()" }, { "label": "Qwen3 Custom Metal Kernel for Grouped Query Attention (GQA) Optimization This", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_rationale_1", "community": 99, "norm_label": "qwen3 custom metal kernel for grouped query attention (gqa) optimization this" }, { "label": "Custom Metal kernel implementation for Qwen3 GQA attention. Args:", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L25", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_rationale_25", "community": 99, "norm_label": "custom metal kernel implementation for qwen3 gqa attention. args:" }, { "label": "Qwen3 attention module with custom Metal kernel optimization. This module", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L242", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_rationale_242", "community": 99, "norm_label": "qwen3 attention module with custom metal kernel optimization. this module" }, { "label": "Create hooks to replace Qwen3's attention with Metal kernel optimized version.", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L325", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_rationale_325", "community": 99, "norm_label": "create hooks to replace qwen3's attention with metal kernel optimized version." }, { "label": "Benchmark Metal kernel optimized GQA attention against MLX baseline.", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L361", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_rationale_361", "community": 99, "norm_label": "benchmark metal kernel optimized gqa attention against mlx baseline." }, { "label": "Test that Metal kernel implementation produces correct results.", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/initial_program.py", "source_location": "L423", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_initial_program_rationale_423", "community": 99, "norm_label": "test that metal kernel implementation produces correct results." }, { "label": "mlx_lm_generate_with_hook.py", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/mlx_lm_generate_with_hook.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook", "community": 171, "norm_label": "mlx_lm_generate_with_hook.py" }, { "label": "_load_module_from_path()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/mlx_lm_generate_with_hook.py", "source_location": "L28", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook_load_module_from_path", "community": 171, "norm_label": "_load_module_from_path()" }, { "label": "ModuleType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "moduletype", "community": 171, "norm_label": "moduletype" }, { "label": "_apply_hook_from_program()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/mlx_lm_generate_with_hook.py", "source_location": "L43", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook_apply_hook_from_program", "community": 171, "norm_label": "_apply_hook_from_program()" }, { "label": "Any", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook_py_any", "community": 171, "norm_label": "any" }, { "label": "main()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/mlx_lm_generate_with_hook.py", "source_location": "L82", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook_main", "community": 171, "norm_label": "main()" }, { "label": "Dynamically load a Python module from an arbitrary filesystem path. This", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/mlx_lm_generate_with_hook.py", "source_location": "L29", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook_rationale_29", "community": 171, "norm_label": "dynamically load a python module from an arbitrary filesystem path. this" }, { "label": "Load an evolved hook program and apply its attention optimization. The ho", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/mlx_lm_generate_with_hook.py", "source_location": "L44", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook_rationale_44", "community": 171, "norm_label": "load an evolved hook program and apply its attention optimization. the ho" }, { "label": "Entry point: parse CLI arguments, apply the hook, and run mlx_lm.generate.", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/mlx_lm_generate_with_hook.py", "source_location": "L83", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_mlx_lm_generate_with_hook_rationale_83", "community": 171, "norm_label": "entry point: parse cli arguments, apply the hook, and run mlx_lm.generate." }, { "label": "quick_benchmark_test.py", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/quick_benchmark_test.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_quick_benchmark_test", "community": 8, "norm_label": "quick_benchmark_test.py" }, { "label": "run_quick_test()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/quick_benchmark_test.py", "source_location": "L14", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_quick_benchmark_test_run_quick_test", "community": 8, "norm_label": "run_quick_test()" }, { "label": "Quick Benchmark Test - Test the benchmark suite with a few key scenarios", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/quick_benchmark_test.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_quick_benchmark_test_rationale_1", "community": 8, "norm_label": "quick benchmark test - test the benchmark suite with a few key scenarios" }, { "label": "Run a quick test with just a few key benchmarks with proper warmup", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/quick_benchmark_test.py", "source_location": "L15", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_quick_benchmark_test_rationale_15", "community": 8, "norm_label": "run a quick test with just a few key benchmarks with proper warmup" }, { "label": "quick_demo.py", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/quick_demo.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_quick_demo", "community": 249, "norm_label": "quick_demo.py" }, { "label": "main()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/quick_demo.py", "source_location": "L12", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_quick_demo_main", "community": 249, "norm_label": "main()" }, { "label": "qwen3_benchmark_suite.py", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite", "community": 8, "norm_label": "qwen3_benchmark_suite.py" }, { "label": "BenchmarkResult", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L29", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_benchmarkresult", "community": 70, "norm_label": "benchmarkresult" }, { "label": "BenchmarkConfig", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L45", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_benchmarkconfig", "community": 8, "norm_label": "benchmarkconfig" }, { "label": "Qwen3BenchmarkSuite", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L54", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite", "community": 8, "norm_label": "qwen3benchmarksuite" }, { "label": ".__init__()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L57", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_init", "community": 8, "norm_label": ".__init__()" }, { "label": ".create_benchmark_configs()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L68", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_create_benchmark_configs", "community": 8, "norm_label": ".create_benchmark_configs()" }, { "label": "._create_medium_context_prompt()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L254", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_create_medium_context_prompt", "community": 8, "norm_label": "._create_medium_context_prompt()" }, { "label": "._create_long_context_prompt()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L267", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_create_long_context_prompt", "community": 8, "norm_label": "._create_long_context_prompt()" }, { "label": "._create_very_long_context_prompt()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L304", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_create_very_long_context_prompt", "community": 8, "norm_label": "._create_very_long_context_prompt()" }, { "label": "._create_progressive_context_prompt()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L370", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_create_progressive_context_prompt", "community": 8, "norm_label": "._create_progressive_context_prompt()" }, { "label": "._create_maximum_context_prompt()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L409", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_create_maximum_context_prompt", "community": 8, "norm_label": "._create_maximum_context_prompt()" }, { "label": ".run_single_benchmark()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L558", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_run_single_benchmark", "community": 8, "norm_label": ".run_single_benchmark()" }, { "label": "._parse_benchmark_output()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L745", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_parse_benchmark_output", "community": 8, "norm_label": "._parse_benchmark_output()" }, { "label": ".run_full_benchmark_suite()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L810", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_run_full_benchmark_suite", "community": 8, "norm_label": ".run_full_benchmark_suite()" }, { "label": ".generate_summary()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L838", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_generate_summary", "community": 8, "norm_label": ".generate_summary()" }, { "label": ".save_results()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L890", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_save_results", "community": 8, "norm_label": ".save_results()" }, { "label": "._result_to_dict()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L952", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_result_to_dict", "community": 8, "norm_label": "._result_to_dict()" }, { "label": ".print_summary_table()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L967", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_qwen3benchmarksuite_print_summary_table", "community": 8, "norm_label": ".print_summary_table()" }, { "label": "main()", "file_type": "code", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L1004", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_main", "community": 8, "norm_label": "main()" }, { "label": "Comprehensive Benchmark Suite for Qwen3-0.6B Metal Kernel Optimization ========", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L1", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_1", "community": 8, "norm_label": "comprehensive benchmark suite for qwen3-0.6b metal kernel optimization ========" }, { "label": "Single benchmark result", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L30", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_30", "community": 70, "norm_label": "single benchmark result" }, { "label": "Benchmark configuration", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L46", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_46", "community": 8, "norm_label": "benchmark configuration" }, { "label": "Create comprehensive benchmark configurations", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L69", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_69", "community": 8, "norm_label": "create comprehensive benchmark configurations" }, { "label": "Create medium-length context prompt", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L255", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_255", "community": 8, "norm_label": "create medium-length context prompt" }, { "label": "Create long context prompt", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L268", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_268", "community": 8, "norm_label": "create long context prompt" }, { "label": "Create very long context prompt to test KV cache scaling", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L305", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_305", "community": 8, "norm_label": "create very long context prompt to test kv cache scaling" }, { "label": "Create prompt that builds context progressively", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L371", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_371", "community": 8, "norm_label": "create prompt that builds context progressively" }, { "label": "Create maximum length context prompt for stress testing", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L410", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_410", "community": 8, "norm_label": "create maximum length context prompt for stress testing" }, { "label": "Run a single benchmark configuration with proper warmup", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L559", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_559", "community": 8, "norm_label": "run a single benchmark configuration with proper warmup" }, { "label": "Parse mlx-lm output to extract performance metrics", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L748", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_748", "community": 8, "norm_label": "parse mlx-lm output to extract performance metrics" }, { "label": "Run the complete benchmark suite", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L811", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_811", "community": 8, "norm_label": "run the complete benchmark suite" }, { "label": "Generate benchmark summary statistics", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L839", "_origin": "ast", "id": "examples_mlx_metal_kernel_opt_qwen3_benchmark_suite_rationale_839", "community": 8, "norm_label": "generate benchmark summary statistics" }, { "label": "Save benchmark results to files", "file_type": "rationale", "source_file": "examples/mlx_metal_kernel_opt/qwen3_benchmark_suite.py", "source_location": "L891", "_origin": "ast", "id": 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"source_file": "examples/rust_adaptive_sort/initial_program.rs", "source_location": "L123", "_origin": "ast", "id": "examples_rust_adaptive_sort_initial_program_benchmarkresults", "community": 116, "norm_label": "benchmarkresults" }, { "label": "test_basic_sort()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/initial_program.rs", "source_location": "L134", "_origin": "ast", "id": "examples_rust_adaptive_sort_initial_program_test_basic_sort", "community": 116, "norm_label": "test_basic_sort()" }, { "label": "test_empty_array()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/initial_program.rs", "source_location": "L141", "_origin": "ast", "id": "examples_rust_adaptive_sort_initial_program_test_empty_array", "community": 116, "norm_label": "test_empty_array()" }, { "label": "test_single_element()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/initial_program.rs", "source_location": "L148", "_origin": "ast", "id": 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"run_benchmark()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/lib.rs", "source_location": "L87", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_lib_run_benchmark", "community": 46, "norm_label": "run_benchmark()" }, { "label": "Vec", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_lib_rs_vec", "community": 46, "norm_label": "vec" }, { "label": "BenchmarkResults", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_lib_rs_benchmarkresults", "community": 46, "norm_label": "benchmarkresults" }, { "label": "BenchmarkResults", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/lib.rs", "source_location": "L126", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_lib_benchmarkresults", "community": 46, "norm_label": "benchmarkresults" }, { "label": "test_basic_sort()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/lib.rs", "source_location": "L137", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_lib_test_basic_sort", "community": 46, "norm_label": "test_basic_sort()" }, { "label": "test_empty_array()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/lib.rs", "source_location": "L144", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_lib_test_empty_array", "community": 46, "norm_label": "test_empty_array()" }, { "label": "test_single_element()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/lib.rs", "source_location": "L151", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_lib_test_single_element", "community": 46, "norm_label": "test_single_element()" }, { "label": "main.rs", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/main.rs", 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"examples/rust_adaptive_sort/sort_test/src/main.rs", "source_location": "L52", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_main_generate_nearly_sorted_data", "community": 46, "norm_label": "generate_nearly_sorted_data()" }, { "label": "generate_reverse_sorted_data()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/main.rs", "source_location": "L65", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_main_generate_reverse_sorted_data", "community": 46, "norm_label": "generate_reverse_sorted_data()" }, { "label": "generate_data_with_duplicates()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/main.rs", "source_location": "L69", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_main_generate_data_with_duplicates", "community": 46, "norm_label": "generate_data_with_duplicates()" }, { "label": "generate_partially_sorted_data()", "file_type": "code", "source_file": "examples/rust_adaptive_sort/sort_test/src/main.rs", "source_location": "L76", "_origin": "ast", "id": "examples_rust_adaptive_sort_sort_test_src_main_generate_partially_sorted_data", "community": 46, "norm_label": "generate_partially_sorted_data()" }, { "label": "signal_processing/evaluator.py", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_signal_processing_evaluator", "community": 35, "norm_label": "signal_processing/evaluator.py" }, { "label": "run_with_timeout()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L24", "_origin": "ast", "id": "examples_signal_processing_evaluator_run_with_timeout", "community": 35, "norm_label": "run_with_timeout()" }, { "label": "safe_float()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L37", "_origin": "ast", "id": "examples_signal_processing_evaluator_safe_float", "community": 35, "norm_label": "safe_float()" }, { "label": "calculate_slope_changes()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L47", "_origin": "ast", "id": "examples_signal_processing_evaluator_calculate_slope_changes", "community": 35, "norm_label": "calculate_slope_changes()" }, { "label": "calculate_lag_error()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L72", "_origin": "ast", "id": "examples_signal_processing_evaluator_calculate_lag_error", "community": 35, "norm_label": "calculate_lag_error()" }, { "label": "calculate_average_tracking_error()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L99", "_origin": "ast", "id": "examples_signal_processing_evaluator_calculate_average_tracking_error", "community": 35, "norm_label": "calculate_average_tracking_error()" }, { "label": "calculate_false_reversal_penalty()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L134", "_origin": "ast", "id": "examples_signal_processing_evaluator_calculate_false_reversal_penalty", "community": 35, "norm_label": "calculate_false_reversal_penalty()" }, { "label": "calculate_composite_score()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L189", "_origin": "ast", "id": "examples_signal_processing_evaluator_calculate_composite_score", "community": 35, "norm_label": "calculate_composite_score()" }, { "label": "generate_test_signals()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L217", "_origin": "ast", "id": "examples_signal_processing_evaluator_generate_test_signals", "community": 35, "norm_label": "generate_test_signals()" }, { "label": "evaluate()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L266", "_origin": "ast", "id": "examples_signal_processing_evaluator_evaluate", "community": 35, "norm_label": "evaluate()" }, { "label": "evaluate_stage1()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L456", "_origin": "ast", "id": "examples_signal_processing_evaluator_evaluate_stage1", "community": 35, "norm_label": "evaluate_stage1()" }, { "label": "evaluate_stage2()", "file_type": "code", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L508", "_origin": "ast", "id": "examples_signal_processing_evaluator_evaluate_stage2", "community": 35, "norm_label": "evaluate_stage2()" }, { "label": "Evaluator for the Real-Time Adaptive Signal Processing Algorithm This evaluat", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L1", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_1", "community": 35, "norm_label": "evaluator for the real-time adaptive signal processing algorithm this evaluat" }, { "label": "Run a function with a timeout using concurrent.futures", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L25", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_25", "community": 35, "norm_label": "run a function with a timeout using concurrent.futures" }, { "label": "Convert a value to float safely", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L38", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_38", "community": 35, "norm_label": "convert a value to float safely" }, { "label": "Calculate slope change penalty S(\u03b8) - counts directional reversals Args:", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L48", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_48", "community": 35, "norm_label": "calculate slope change penalty s(\u03b8) - counts directional reversals args:" }, { "label": "Calculate instantaneous lag error L_recent(\u03b8) = |y[n] - x[n]| Args:", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L73", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_73", "community": 35, "norm_label": "calculate instantaneous lag error l_recent(\u03b8) = |y[n] - x[n]| args:" }, { "label": "Calculate average tracking error L_avg(\u03b8) over the window Args:", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L100", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_100", "community": 35, "norm_label": "calculate average tracking error l_avg(\u03b8) over the window args:" }, { "label": "Calculate false reversal penalty R(\u03b8) - mismatched trend changes Args:", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L135", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_135", "community": 35, "norm_label": "calculate false reversal penalty r(\u03b8) - mismatched trend changes args:" }, { "label": "Calculate the composite metric J(\u03b8) = \u03b1\u2081\u00b7S(\u03b8) + \u03b1\u2082\u00b7L_recent(\u03b8) + \u03b1\u2083\u00b7L_avg(\u03b8) + \u03b1", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L190", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_190", "community": 35, "norm_label": "calculate the composite metric j(\u03b8) = \u03b11\u00b7s(\u03b8) + \u03b12\u00b7l_recent(\u03b8) + \u03b13\u00b7l_avg(\u03b8) + \u03b1" }, { "label": "Generate multiple test signals with different characteristics", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L218", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_218", "community": 35, "norm_label": "generate multiple test signals with different characteristics" }, { "label": "Main evaluation function that tests the signal processing algorithm on mult", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L267", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_267", "community": 35, "norm_label": "main evaluation function that tests the signal processing algorithm on mult" }, { "label": "Stage 1 evaluation: Quick validation that the program runs without errors", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L457", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_457", "community": 35, "norm_label": "stage 1 evaluation: quick validation that the program runs without errors" }, { "label": "Stage 2 evaluation: Full evaluation with all test signals", "file_type": "rationale", "source_file": "examples/signal_processing/evaluator.py", "source_location": "L509", "_origin": "ast", "id": "examples_signal_processing_evaluator_rationale_509", "community": 35, "norm_label": "stage 2 evaluation: full evaluation with all test signals" }, { "label": "signal_processing/initial_program.py", "file_type": "code", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L1", "_origin": "ast", "id": "examples_signal_processing_initial_program", "community": 152, "norm_label": "signal_processing/initial_program.py" }, { "label": "adaptive_filter()", "file_type": "code", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L13", "_origin": "ast", "id": "examples_signal_processing_initial_program_adaptive_filter", "community": 152, "norm_label": "adaptive_filter()" }, { "label": "enhanced_filter_with_trend_preservation()", "file_type": "code", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L41", "_origin": "ast", "id": "examples_signal_processing_initial_program_enhanced_filter_with_trend_preservation", "community": 152, "norm_label": "enhanced_filter_with_trend_preservation()" }, { "label": "process_signal()", "file_type": "code", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L71", "_origin": "ast", "id": "examples_signal_processing_initial_program_process_signal", "community": 152, "norm_label": "process_signal()" }, { "label": "generate_test_signal()", "file_type": "code", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L92", "_origin": "ast", "id": "examples_signal_processing_initial_program_generate_test_signal", "community": 152, "norm_label": "generate_test_signal()" }, { "label": "run_signal_processing()", "file_type": "code", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L130", "_origin": "ast", "id": "examples_signal_processing_initial_program_run_signal_processing", "community": 152, "norm_label": "run_signal_processing()" }, { "label": "Adaptive signal processing algorithm using sliding window approach. Args:", "file_type": "rationale", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L14", "_origin": "ast", "id": "examples_signal_processing_initial_program_rationale_14", "community": 152, "norm_label": "adaptive signal processing algorithm using sliding window approach. args:" }, { "label": "Enhanced version with trend preservation using weighted moving average. A", "file_type": "rationale", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L42", "_origin": "ast", "id": "examples_signal_processing_initial_program_rationale_42", "community": 152, "norm_label": "enhanced version with trend preservation using weighted moving average. a" }, { "label": "Main signal processing function that applies the selected algorithm. Args", "file_type": "rationale", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L72", "_origin": "ast", "id": "examples_signal_processing_initial_program_rationale_72", "community": 152, "norm_label": "main signal processing function that applies the selected algorithm. args" }, { "label": "Generate synthetic test signal with known characteristics. Args:", "file_type": "rationale", "source_file": "examples/signal_processing/initial_program.py", "source_location": "L93", "_origin": "ast", "id": "examples_signal_processing_initial_program_rationale_93", "community": 152, "norm_label": "generate synthetic test signal with known characteristics. args:" }, { "label": "Run the signal processing algorithm on a test signal. 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"community": 6, "norm_label": "iterimpl" }, { "label": "difference_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_difference_type", "community": 6, "norm_label": "difference_type" }, { "label": "friend", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_friend", "community": 19, "norm_label": "friend" }, { "label": "reference", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_reference", "community": 6, "norm_label": "reference" }, { "label": "value()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L13606", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_value", "community": 6, "norm_label": "value()" }, { "label": "string_t_helper()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L13835", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_string_t_helper", "community": 11, "norm_label": "string_t_helper()" }, { "label": "NLOHMANN_BASIC_JSON_TPL_DECLARATION", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_nlohmann_basic_json_tpl_declaration", "community": 11, "norm_label": "nlohmann_basic_json_tpl_declaration" }, { "label": "to_string()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L13873", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_to_string", "community": 27, "norm_label": "to_string()" }, { "label": 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"source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L13988", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_push_back", "community": 27, "norm_label": "push_back()" }, { "label": "empty()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L14002", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_empty", "community": 27, "norm_label": "empty()" }, { "label": "contains()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L14383", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_contains", "community": 6, "norm_label": "contains()" }, { "label": "split()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L14471", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_split", "community": 27, "norm_label": "split()" }, { "label": "convert()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L14640", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_convert", "community": 19, "norm_label": "convert()" }, { "label": "RefStringTypeRhs", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_refstringtyperhs", "community": 6, "norm_label": "refstringtyperhs" }, { "label": "strong_ordering", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_strong_ordering", "community": 6, "norm_label": "strong_ordering" }, { "label": "RefStringTypeLhs", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_refstringtypelhs", "community": 6, "norm_label": "refstringtypelhs" }, { "label": "StringType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_stringtype", "community": 6, "norm_label": "stringtype" }, { "label": "hex_bytes()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L18685", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hex_bytes", "community": 19, "norm_label": "hex_bytes()" }, { "label": "uint8_t", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_uint8_t", "community": 79, "norm_label": "uint8_t" }, { "label": "is_negative_number()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L18696", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_negative_number", "community": 28, "norm_label": "is_negative_number()" }, { "label": "NumberType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_numbertype", "community": 28, "norm_label": "numbertype" }, { "label": "dump_integer()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L18722", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_dump_integer", "community": 28, "norm_label": "dump_integer()" }, { "label": "dump_float()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L18807", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_dump_float", "community": 160, "norm_label": "dump_float()" }, { "label": "true_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_true_type", "community": 160, "norm_label": "true_type" }, { "label": "false_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_false_type", "community": 160, "norm_label": "false_type" }, { "label": "decode()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L18908", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_decode", "community": 79, "norm_label": "decode()" }, { "label": "uint32_t", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_uint32_t", "community": 79, "norm_label": "uint32_t" }, { "label": "remove_sign()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L18948", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_remove_sign", "community": 28, "norm_label": "remove_sign()" }, { "label": "Allocator", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_allocator", "community": 11, "norm_label": "allocator" }, { "label": "It", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_it", "community": 11, "norm_label": "it" }, { "label": "initializer_list", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_initializer_list", "community": 11, "norm_label": "initializer_list" }, { "label": "value_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_value_type", "community": 11, "norm_label": "value_type" }, { "label": "emplace()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L19058", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_emplace", "community": 6, "norm_label": "emplace()" }, { "label": "iterator", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_iterator", "community": 6, "norm_label": "iterator" }, { "label": "key_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_key_type", "community": 6, "norm_label": "key_type" }, { "label": "T", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_t", "community": 48, "norm_label": "t" }, { "label": "KeyType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_keytype", "community": 6, "norm_label": "keytype" }, { "label": "erase()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L19166", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_erase", "community": 6, "norm_label": "erase()" }, { "label": "size_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_size_type", "community": 6, "norm_label": "size_type" }, { "label": "count()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L19264", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_count", "community": 6, "norm_label": "count()" }, { "label": "find()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L19290", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_find", "community": 6, "norm_label": "find()" }, { "label": "const_iterator", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_const_iterator", "community": 6, "norm_label": "const_iterator" }, { "label": "insert()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L19328", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_insert", "community": 6, "norm_label": "insert()" }, { "label": "InputIt", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_inputit", "community": 79, "norm_label": "inputit" }, { "label": "NLOHMANN_BASIC_JSON_TPL_DECLARATION\r\nclass basic_json // NOLINT(cppcoreguidelines-special-member-functions,hicpp-special-member-functions)\r\n : public ::nlohmann::detail::json_base_class()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L19378", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_nlohmann_basic_json_tpl_declaration_class_basic_json_nolint_cppcoreguidelines_special_member_functions_hicpp_special_member_functions_public_nlohmann_detail_json_base_class_custombaseclass", "community": 19, "norm_label": "nlohmann_basic_json_tpl_declaration\r\nclass basic_json // nolint(cppcoreguidelines-special-member-functions,hicpp-special-member-functions)\r\n : public ::nlohmann::detail::json_base_class()" }, { "label": "set_parents()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20005", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_set_parents", "community": 27, "norm_label": "set_parents()" }, { "label": "set_parent()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20055", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_set_parent", "community": 6, "norm_label": "set_parent()" }, { "label": "basic_json()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20117", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_basic_json", "community": 79, "norm_label": "basic_json()" }, { "label": "CompatibleType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_compatibletype", "community": 79, "norm_label": "compatibletype" }, { "label": "initializer_list_t", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_initializer_list_t", "community": 79, "norm_label": "initializer_list_t" }, { "label": "JSON_HEDLEY_WARN_UNUSED_RESULT", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_json_hedley_warn_unused_result", "community": 48, "norm_label": "json_hedley_warn_unused_result" }, { "label": "array()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20306", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_array", "community": 48, "norm_label": "array()" }, { "label": "object()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20314", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_object", "community": 6, "norm_label": "object()" }, { "label": "JsonRef", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_hpp_jsonref", "community": 79, "norm_label": "jsonref" }, { "label": "type()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20596", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_type", "community": 160, "norm_label": "type()" }, { "label": "is_primitive()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20603", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_primitive", "community": 100, "norm_label": "is_primitive()" }, { "label": "is_structured()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20610", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_structured", "community": 27, "norm_label": "is_structured()" }, { "label": "is_null()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20617", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_null", "community": 6, "norm_label": "is_null()" }, { "label": "is_boolean()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20624", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_boolean", "community": 100, "norm_label": "is_boolean()" }, { "label": "is_number()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20631", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_number", "community": 100, "norm_label": "is_number()" }, { "label": "is_number_integer()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20638", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_number_integer", "community": 100, "norm_label": "is_number_integer()" }, { "label": "is_number_unsigned()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20645", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_number_unsigned", "community": 100, "norm_label": "is_number_unsigned()" }, { "label": "is_number_float()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20652", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_number_float", "community": 100, "norm_label": "is_number_float()" }, { "label": "is_object()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20659", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_object", "community": 6, "norm_label": "is_object()" }, { "label": "is_array()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20666", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_array", "community": 27, "norm_label": "is_array()" }, { "label": "is_string()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20673", "_origin": "ast", "id": "examples_tsp_tour_minimization_evolved_program_include_json_is_string", "community": 27, "norm_label": "is_string()" }, { "label": "is_binary()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/evolved_program/include/json.hpp", "source_location": "L20680", 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"source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_position_t", "community": 5, "norm_label": "position_t" }, { "label": "get_token_string()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L8820", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_get_token_string", "community": 30, "norm_label": "get_token_string()" }, { "label": "get_error_message()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L8844", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_get_error_message", "community": 5, "norm_label": "get_error_message()" }, { "label": "JSON_HEDLEY_RETURNS_NON_NULL", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_json_hedley_returns_non_null", "community": 5, "norm_label": "json_hedley_returns_non_null" }, { "label": "skip_bom()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L8858", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_skip_bom", "community": 5, "norm_label": "skip_bom()" }, { "label": "skip_whitespace()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L8872", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_skip_whitespace", "community": 5, "norm_label": "skip_whitespace()" }, { "label": "scan()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L8881", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_scan", "community": 5, "norm_label": "scan()" }, { "label": "token_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_token_type", "community": 5, "norm_label": "token_type" }, { "label": "pointer", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_pointer", "community": 9, "norm_label": "pointer" }, { "label": "iter_impl", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_iter_impl", "community": 9, "norm_label": "iter_impl" }, { "label": "IterImpl", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_iterimpl", "community": 9, "norm_label": "iterimpl" }, { "label": "difference_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_difference_type", "community": 9, "norm_label": "difference_type" }, { "label": "friend", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_friend", "community": 5, "norm_label": "friend" }, { "label": "reference", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_reference", "community": 9, "norm_label": "reference" }, { "label": "value()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L13606", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_value", "community": 9, "norm_label": "value()" }, { "label": "string_t_helper()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L13835", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_string_t_helper", "community": 5, "norm_label": "string_t_helper()" }, { "label": "NLOHMANN_BASIC_JSON_TPL_DECLARATION", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_nlohmann_basic_json_tpl_declaration", "community": 5, "norm_label": "nlohmann_basic_json_tpl_declaration" }, { "label": "to_string()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L13873", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_to_string", "community": 30, "norm_label": "to_string()" }, { "label": "json_pointer operator/()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L13928", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_json_pointer_operator", "community": 5, "norm_label": "json_pointer operator/()" }, { "label": "parent_pointer()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L13950", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_parent_pointer", "community": 30, "norm_label": "parent_pointer()" }, { "label": "pop_back()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L13964", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_pop_back", "community": 30, "norm_label": "pop_back()" }, { "label": "push_back()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L13988", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_push_back", "community": 30, "norm_label": "push_back()" }, { "label": "empty()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L14002", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_empty", "community": 30, "norm_label": "empty()" }, { "label": "contains()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L14383", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_contains", "community": 9, "norm_label": "contains()" }, { "label": "split()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L14471", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_split", "community": 30, "norm_label": "split()" }, { "label": "convert()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L14640", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_convert", "community": 5, "norm_label": "convert()" }, { "label": "RefStringTypeRhs", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_refstringtyperhs", "community": 9, "norm_label": "refstringtyperhs" }, { "label": "strong_ordering", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_strong_ordering", "community": 9, "norm_label": "strong_ordering" }, { "label": "RefStringTypeLhs", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_refstringtypelhs", "community": 9, "norm_label": "refstringtypelhs" }, { "label": "StringType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_stringtype", "community": 9, "norm_label": "stringtype" }, { "label": "hex_bytes()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L18685", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hex_bytes", "community": 13, "norm_label": "hex_bytes()" }, { "label": "uint8_t", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_uint8_t", "community": 50, "norm_label": "uint8_t" }, { "label": "is_negative_number()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L18696", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_is_negative_number", "community": 5, "norm_label": "is_negative_number()" }, { "label": "NumberType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_numbertype", "community": 5, "norm_label": "numbertype" }, { "label": "dump_integer()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L18722", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_dump_integer", "community": 5, "norm_label": "dump_integer()" }, { "label": "dump_float()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L18807", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_dump_float", "community": 13, "norm_label": "dump_float()" }, { "label": "true_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_true_type", "community": 13, "norm_label": "true_type" }, { "label": "false_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_false_type", "community": 13, "norm_label": "false_type" }, { "label": "decode()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L18908", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_decode", "community": 50, "norm_label": "decode()" }, { "label": "uint32_t", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_uint32_t", "community": 50, "norm_label": "uint32_t" }, { "label": "remove_sign()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L18948", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_remove_sign", "community": 18, "norm_label": "remove_sign()" }, { "label": "Allocator", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_allocator", "community": 5, "norm_label": "allocator" }, { "label": "It", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_it", "community": 5, "norm_label": "it" }, { "label": "initializer_list", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_initializer_list", "community": 5, "norm_label": "initializer_list" }, { "label": "value_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_value_type", "community": 5, "norm_label": "value_type" }, { "label": "emplace()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L19058", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_emplace", "community": 9, "norm_label": "emplace()" }, { "label": "iterator", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_iterator", "community": 9, "norm_label": "iterator" }, { "label": "key_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_key_type", "community": 9, "norm_label": "key_type" }, { "label": "T", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_t", "community": 49, "norm_label": "t" }, { "label": "KeyType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_keytype", "community": 9, "norm_label": "keytype" }, { "label": "erase()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L19166", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_erase", "community": 9, "norm_label": "erase()" }, { "label": "size_type", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_size_type", "community": 9, "norm_label": "size_type" }, { "label": "count()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L19264", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_count", "community": 9, "norm_label": "count()" }, { "label": "find()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L19290", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_find", "community": 9, "norm_label": "find()" }, { "label": "const_iterator", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_const_iterator", "community": 9, "norm_label": "const_iterator" }, { "label": "insert()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L19328", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_insert", "community": 9, "norm_label": "insert()" }, { "label": "InputIt", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_inputit", "community": 50, "norm_label": "inputit" }, { "label": "NLOHMANN_BASIC_JSON_TPL_DECLARATION\r\nclass basic_json // NOLINT(cppcoreguidelines-special-member-functions,hicpp-special-member-functions)\r\n : public ::nlohmann::detail::json_base_class()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L19378", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_nlohmann_basic_json_tpl_declaration_class_basic_json_nolint_cppcoreguidelines_special_member_functions_hicpp_special_member_functions_public_nlohmann_detail_json_base_class_custombaseclass", "community": 13, "norm_label": "nlohmann_basic_json_tpl_declaration\r\nclass basic_json // nolint(cppcoreguidelines-special-member-functions,hicpp-special-member-functions)\r\n : public ::nlohmann::detail::json_base_class()" }, { "label": "set_parents()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L20005", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_set_parents", "community": 30, "norm_label": "set_parents()" }, { "label": "set_parent()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L20055", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_set_parent", "community": 9, "norm_label": "set_parent()" }, { "label": "basic_json()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L20117", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_basic_json", "community": 50, "norm_label": "basic_json()" }, { "label": "CompatibleType", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_compatibletype", "community": 50, "norm_label": "compatibletype" }, { "label": "initializer_list_t", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_initializer_list_t", "community": 50, "norm_label": "initializer_list_t" }, { "label": "JSON_HEDLEY_WARN_UNUSED_RESULT", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_hpp_json_hedley_warn_unused_result", "community": 49, "norm_label": "json_hedley_warn_unused_result" }, { "label": "array()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L20306", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_array", "community": 49, "norm_label": "array()" }, { "label": "object()", "file_type": "code", "source_file": "examples/tsp_tour_minimization/initial_program/include/json.hpp", "source_location": "L20314", "_origin": "ast", "id": "examples_tsp_tour_minimization_initial_program_include_json_object", "community": 9, "norm_label": "object()" }, { "label": "JsonRef", "file_type": "code", "source_file": "", "source_location": "", "_origin": "ast", "id": 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"source_file": "openevolve/database.py", "source_location": "L2478", "_origin": "ast", "id": "openevolve_database_programdatabase_artifact_deserializer", "community": 1, "norm_label": "._artifact_deserializer()" }, { "label": "._create_artifact_dir()", "file_type": "code", "source_file": "openevolve/database.py", "source_location": "L2484", "_origin": "ast", "id": "openevolve_database_programdatabase_create_artifact_dir", "community": 1, "norm_label": "._create_artifact_dir()" }, { "label": "._cleanup_old_artifacts()", "file_type": "code", "source_file": "openevolve/database.py", "source_location": "L2498", "_origin": "ast", "id": "openevolve_database_programdatabase_cleanup_old_artifacts", "community": 88, "norm_label": "._cleanup_old_artifacts()" }, { "label": "._write_artifact_file()", "file_type": "code", "source_file": "openevolve/database.py", "source_location": "L2538", "_origin": "ast", "id": "openevolve_database_programdatabase_write_artifact_file", "community": 1, "norm_label": "._write_artifact_file()" }, { "label": "._load_artifact_dir()", "file_type": "code", "source_file": "openevolve/database.py", "source_location": "L2561", "_origin": "ast", "id": "openevolve_database_programdatabase_load_artifact_dir", "community": 1, "norm_label": "._load_artifact_dir()" }, { "label": ".log_prompt()", "file_type": "code", "source_file": "openevolve/database.py", "source_location": "L2586", "_origin": "ast", "id": "openevolve_database_programdatabase_log_prompt", "community": 1, "norm_label": ".log_prompt()" }, { "label": "Program database for OpenEvolve", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1", "_origin": "ast", "id": "openevolve_database_rationale_1", "community": 2, "norm_label": "program database for openevolve" }, { "label": "Safely sum only numeric metric values, ignoring strings and other types", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L28", 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to dictionary representation" }, { "label": "Create from dictionary representation", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L87", "_origin": "ast", "id": "openevolve_database_rationale_87", "community": 88, "norm_label": "create from dictionary representation" }, { "label": "Database for storing and sampling programs during evolution The database", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L116", "_origin": "ast", "id": "openevolve_database_rationale_116", "community": 1, "norm_label": "database for storing and sampling programs during evolution the database" }, { "label": "Add a program to the database Args: program: Program to", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L216", "_origin": "ast", "id": "openevolve_database_rationale_216", "community": 1, "norm_label": "add a program to the database args: program: program to" }, { "label": "Get a program by ID Args: program_id: Program ID", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L391", "_origin": "ast", "id": "openevolve_database_rationale_391", "community": 1, "norm_label": "get a program by id args: program_id: program id" }, { "label": "Sample a program and inspirations for the next evolution step Args:", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L403", "_origin": "ast", "id": "openevolve_database_rationale_403", "community": 1, "norm_label": "sample a program and inspirations for the next evolution step args:" }, { "label": "Sample a program and inspirations from a specific island without modifying curre", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L426", "_origin": "ast", "id": "openevolve_database_rationale_426", "community": 51, "norm_label": "sample a program and inspirations from a specific island without modifying curre" }, { "label": "Get the best program based on a metric Args: metric: Met", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L485", "_origin": "ast", "id": "openevolve_database_rationale_485", "community": 1, "norm_label": "get the best program based on a metric args: metric: met" }, { "label": "Get the top N programs based on a metric Args: n: Number", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L553", "_origin": "ast", "id": "openevolve_database_rationale_553", "community": 1, "norm_label": "get the top n programs based on a metric args: n: number" }, { "label": "Save the database to disk Args: path: Path to save to (u", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L603", "_origin": "ast", "id": "openevolve_database_rationale_603", "community": 88, "norm_label": "save the database to disk args: path: path to save to (u" }, { "label": "Load the database from disk Args: path: Path to load fro", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L652", "_origin": "ast", "id": "openevolve_database_rationale_652", "community": 1, "norm_label": "load the database from disk args: path: path to load fro" }, { "label": "Reconstruct island assignments from saved metadata Args:", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L722", "_origin": "ast", "id": "openevolve_database_rationale_722", "community": 1, "norm_label": "reconstruct island assignments from saved metadata args:" }, { "label": "Distribute loaded programs across islands when no island metadata exists", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L802", "_origin": "ast", "id": "openevolve_database_rationale_802", "community": 1, "norm_label": "distribute loaded programs across islands when no island metadata exists" }, { "label": "Save a program to disk Args: program: Program to save", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L821", "_origin": "ast", "id": "openevolve_database_rationale_821", "community": 88, "norm_label": "save a program to disk args: program: program to save" }, { "label": "Calculate feature coordinates for the MAP-Elites grid Args:", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L847", "_origin": "ast", "id": "openevolve_database_rationale_847", "community": 1, "norm_label": "calculate feature coordinates for the map-elites grid args:" }, { "label": "Calculate the bin index for a given complexity value using feature scaling.", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L915", "_origin": "ast", "id": "openevolve_database_rationale_915", "community": 1, "norm_label": "calculate the bin index for a given complexity value using feature scaling." }, { "label": "Calculate the bin index for a given diversity value using feature scaling.", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L942", "_origin": "ast", "id": "openevolve_database_rationale_942", "community": 1, "norm_label": "calculate the bin index for a given diversity value using feature scaling." }, { "label": "Convert feature coordinates to a string key Args: coords", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L969", "_origin": "ast", "id": "openevolve_database_rationale_969", "community": 1, "norm_label": "convert feature coordinates to a string key args: coords" }, { "label": "Adapted from SakanaAI/ShinkaEvolve (Apache-2.0 License) Original source", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L981", "_origin": "ast", "id": "openevolve_database_rationale_981", "community": 1, "norm_label": "adapted from sakanaai/shinkaevolve (apache-2.0 license) original source" }, { "label": "Use LLM to judge if a program is novel compared to a similar existing program", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1004", "_origin": "ast", "id": "openevolve_database_rationale_1004", "community": 1, "norm_label": "use llm to judge if a program is novel compared to a similar existing program" }, { "label": "Determine if a program is novel based on diversity to existing programs", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1071", "_origin": "ast", "id": "openevolve_database_rationale_1071", "community": 1, "norm_label": "determine if a program is novel based on diversity to existing programs" }, { "label": "Determine if program1 has better FITNESS than program2 Uses fitness c", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1112", "_origin": "ast", "id": "openevolve_database_rationale_1112", "community": 1, "norm_label": "determine if program1 has better fitness than program2 uses fitness c" }, { "label": "Update the archive of elite programs Args: program: Prog", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1142", "_origin": "ast", "id": "openevolve_database_rationale_1142", "community": 1, "norm_label": "update the archive of elite programs args: program: prog" }, { "label": "Update the absolute best program tracking Args: program:", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1189", "_origin": "ast", "id": "openevolve_database_rationale_1189", "community": 1, "norm_label": "update the absolute best program tracking args: program:" }, { "label": "Update the best program tracking for a specific island Args:", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1229", "_origin": "ast", "id": "openevolve_database_rationale_1229", "community": 1, "norm_label": "update the best program tracking for a specific island args:" }, { "label": "Sample a parent program from the current island for the next evolution step", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1281", "_origin": "ast", "id": "openevolve_database_rationale_1281", "community": 1, "norm_label": "sample a parent program from the current island for the next evolution step" }, { "label": "Sample a parent for exploration (from current island)", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1301", "_origin": "ast", "id": "openevolve_database_rationale_1301", "community": 1, "norm_label": "sample a parent for exploration (from current island)" }, { "label": "Sample a parent for exploitation (from archive/elite programs)", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1387", "_origin": "ast", "id": "openevolve_database_rationale_1387", "community": 1, "norm_label": "sample a parent for exploitation (from archive/elite programs)" }, { "label": "Sample a completely random parent from all programs", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1427", "_origin": "ast", "id": "openevolve_database_rationale_1427", "community": 51, "norm_label": "sample a completely random parent from all programs" }, { "label": "Sample a parent from a specific island using fitness-weighted selection", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1438", "_origin": "ast", "id": "openevolve_database_rationale_1438", "community": 51, "norm_label": "sample a parent from a specific island using fitness-weighted selection" }, { "label": "Sample a completely random parent from a specific island (uniform distribution)", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1495", "_origin": "ast", "id": "openevolve_database_rationale_1495", "community": 51, "norm_label": "sample a completely random parent from a specific island (uniform distribution)" }, { "label": "Sample a parent from the archive, preferring programs from the specified island", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1526", "_origin": "ast", "id": "openevolve_database_rationale_1526", "community": 51, "norm_label": "sample a parent from the archive, preferring programs from the specified island" }, { "label": "Sample inspiration programs for the next evolution step. For proper i", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1567", "_origin": "ast", "id": "openevolve_database_rationale_1567", "community": 1, "norm_label": "sample inspiration programs for the next evolution step. for proper i" }, { "label": "Remove a program from the population if it is orphaned. A program is", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1700", "_origin": "ast", "id": "openevolve_database_rationale_1700", "community": 1, "norm_label": "remove a program from the population if it is orphaned. a program is" }, { "label": "Enforce the population size limit by removing worst programs if needed", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1732", "_origin": "ast", "id": "openevolve_database_rationale_1732", "community": 1, "norm_label": "enforce the population size limit by removing worst programs if needed" }, { "label": "Set which island is currently being evolved", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1812", "_origin": "ast", "id": "openevolve_database_rationale_1812", "community": 1, "norm_label": "set which island is currently being evolved" }, { "label": "Move to the next island in round-robin fashion", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1817", "_origin": "ast", "id": "openevolve_database_rationale_1817", "community": 1, "norm_label": "move to the next island in round-robin fashion" }, { "label": "Increment generation counter for an island", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1823", "_origin": "ast", "id": "openevolve_database_rationale_1823", "community": 1, "norm_label": "increment generation counter for an island" }, { "label": "Check if migration should occur based on generation counters", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1829", "_origin": "ast", "id": "openevolve_database_rationale_1829", "community": 1, "norm_label": "check if migration should occur based on generation counters" }, { "label": "Perform migration between islands This should be called periodically", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1834", "_origin": "ast", "id": "openevolve_database_rationale_1834", "community": 1, "norm_label": "perform migration between islands this should be called periodically" }, { "label": "Validate migration didn't create inconsistencies Checks that:", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1936", "_origin": "ast", "id": "openevolve_database_rationale_1936", "community": 1, "norm_label": "validate migration didn't create inconsistencies checks that:" }, { "label": "Remove stale island best program references Cleans up references to p", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L1977", "_origin": "ast", "id": "openevolve_database_rationale_1977", "community": 1, "norm_label": "remove stale island best program references cleans up references to p" }, { "label": "Get statistics for each island", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2028", "_origin": "ast", "id": "openevolve_database_rationale_2028", "community": 1, "norm_label": "get statistics for each island" }, { "label": "Calculate diversity within an island (deterministic version)", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2061", "_origin": "ast", "id": "openevolve_database_rationale_2061", "community": 1, "norm_label": "calculate diversity within an island (deterministic version)" }, { "label": "Fast approximation of code diversity using simple metrics Returns div", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2096", "_origin": "ast", "id": "openevolve_database_rationale_2096", "community": 1, "norm_label": "fast approximation of code diversity using simple metrics returns div" }, { "label": "Get diversity score for a program using cache and reference set Args:", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2124", "_origin": "ast", "id": "openevolve_database_rationale_2124", "community": 1, "norm_label": "get diversity score for a program using cache and reference set args:" }, { "label": "Update the reference set for diversity calculation", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2162", "_origin": "ast", "id": "openevolve_database_rationale_2162", "community": 1, "norm_label": "update the reference set for diversity calculation" }, { "label": "Cache a diversity value with LRU eviction", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2206", "_origin": "ast", "id": "openevolve_database_rationale_2206", "community": 1, "norm_label": "cache a diversity value with lru eviction" }, { "label": "Invalidate the diversity cache when programs change significantly", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2217", "_origin": "ast", "id": "openevolve_database_rationale_2217", "community": 1, "norm_label": "invalidate the diversity cache when programs change significantly" }, { "label": "Update statistics for a feature dimension Args: feature_", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2223", "_origin": "ast", "id": "openevolve_database_rationale_2223", "community": 1, "norm_label": "update statistics for a feature dimension args: feature_" }, { "label": "Scale a feature value according to the configured scaling method Args", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2247", "_origin": "ast", "id": "openevolve_database_rationale_2247", "community": 1, "norm_label": "scale a feature value according to the configured scaling method args" }, { "label": "Helper for min-max scaling", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2290", "_origin": "ast", "id": "openevolve_database_rationale_2290", "community": 1, "norm_label": "helper for min-max scaling" }, { "label": "Serialize feature_stats for JSON storage Returns: Dictio", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2305", "_origin": "ast", "id": "openevolve_database_rationale_2305", "community": 88, "norm_label": "serialize feature_stats for json storage returns: dictio" }, { "label": "Deserialize feature_stats from loaded JSON Args: stats_d", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2335", "_origin": "ast", "id": "openevolve_database_rationale_2335", "community": 1, "norm_label": "deserialize feature_stats from loaded json args: stats_d" }, { "label": "Log current status of all islands", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2365", "_origin": "ast", "id": "openevolve_database_rationale_2365", "community": 1, "norm_label": "log current status of all islands" }, { "label": "Store artifacts for a program Args: program_id: ID of th", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2386", "_origin": "ast", "id": "openevolve_database_rationale_2386", "community": 1, "norm_label": "store artifacts for a program args: program_id: id of th" }, { "label": "Retrieve all artifacts for a program Args: program_id: I", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2433", "_origin": "ast", "id": "openevolve_database_rationale_2433", "community": 1, "norm_label": "retrieve all artifacts for a program args: program_id: i" }, { "label": "Get size of an artifact value in bytes", "file_type": "rationale", "source_file": "openevolve/database.py", "source_location": "L2464", "_origin": "ast", "id": "openevolve_database_rationale_2464", "community": 1, "norm_label": "get size of an artifact value in bytes" }, { "label": "JSON serializer for artifacts that handles bytes", "file_type": "rationale", "source_file": 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