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microsoft/RD-Agent

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

22.8 Moderate AI signal View on GitHub
22.8
Adjusted Score
22.8
Raw Score
100%
Time Factor
2026-05-13
Last Push
13,274
Stars
Python
Language
113,373
Lines of Code
790
Files
1351
Pattern Hits
2026-05-31
Scan Date

Score History

Severity Breakdown

CRITICAL 0HIGH 227MEDIUM 161LOW 963

Pattern Findings

1351 matches across 18 categories. Click a row to expand file-level details.

Cross-File Repetition212 hits · 1060 pts
SeverityFileLineSnippet
HIGH…ent/components/coder/data_science/ensemble/__init__.py0assign the code list to the evolving item. the code list is aligned with the evolving item's sub-tasks. if a task is not
HIGH…ent/components/coder/data_science/pipeline/__init__.py0assign the code list to the evolving item. the code list is aligned with the evolving item's sub-tasks. if a task is not
HIGH…ent/components/coder/data_science/workflow/__init__.py0assign the code list to the evolving item. the code list is aligned with the evolving item's sub-tasks. if a task is not
HIGHrdagent/components/coder/data_science/model/__init__.py0assign the code list to the evolving item. the code list is aligned with the evolving item's sub-tasks. if a task is not
HIGH…gent/components/coder/data_science/feature/__init__.py0assign the code list to the evolving item. the code list is aligned with the evolving item's sub-tasks. if a task is not
HIGH…ponents/coder/data_science/raw_data_loader/__init__.py0assign the code list to the evolving item. the code list is aligned with the evolving item's sub-tasks. if a task is not
HIGHrdagent/scenarios/data_science/dev/runner/__init__.py0assign the code list to the evolving item. the code list is aligned with the evolving item's sub-tasks. if a task is not
HIGH…ent/spaceship-titanic_template/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…mplates/playground-series-s4e8/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…/templates/meta_tpl_deprecated/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…lar-playground-series-dec-2021/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…york-city-taxi-fare-prediction/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…plates/playground-series-s3e26/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…/experiment/templates/sf-crime/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…s/forest-cover-type-prediction/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…nt/templates/spaceship-titanic/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…ent/templates/digit-recognizer/fea_share_preprocess.py0this method loads the data, drops the unnecessary columns, and splits it into train and validation sets.
HIGH…ent/spaceship-titanic_template/fea_share_preprocess.py0fits the preprocessor on the training data and returns the fitted preprocessor.
HIGH…mplates/playground-series-s4e8/fea_share_preprocess.py0fits the preprocessor on the training data and returns the fitted preprocessor.
HIGH…/templates/meta_tpl_deprecated/fea_share_preprocess.py0fits the preprocessor on the training data and returns the fitted preprocessor.
HIGH…plates/playground-series-s3e26/fea_share_preprocess.py0fits the preprocessor on the training data and returns the fitted preprocessor.
HIGH…/experiment/templates/sf-crime/fea_share_preprocess.py0fits the preprocessor on the training data and returns the fitted preprocessor.
HIGH…nt/templates/spaceship-titanic/fea_share_preprocess.py0fits the preprocessor on the training data and returns the fitted preprocessor.
HIGH…ent/spaceship-titanic_template/fea_share_preprocess.py0transforms the given dataframe using the fitted preprocessor. ensures the processed data has consistent features across
HIGH…/templates/meta_tpl_deprecated/fea_share_preprocess.py0transforms the given dataframe using the fitted preprocessor. ensures the processed data has consistent features across
HIGH…nt/templates/spaceship-titanic/fea_share_preprocess.py0transforms the given dataframe using the fitted preprocessor. ensures the processed data has consistent features across
HIGH…ent/spaceship-titanic_template/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…mplates/playground-series-s4e8/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…plates/playground-series-s3e14/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…/templates/meta_tpl_deprecated/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…ventilator-pressure-prediction/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…lar-playground-series-dec-2021/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…york-city-taxi-fare-prediction/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…plates/playground-series-s3e11/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…plates/playground-series-s3e16/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…plates/playground-series-s3e26/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…rize-english-language-learning/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…/experiment/templates/sf-crime/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…s/forest-cover-type-prediction/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…lar-playground-series-may-2022/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…nt/templates/spaceship-titanic/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…l-iceberg-classifier-challenge/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…ent/templates/digit-recognizer/fea_share_preprocess.py0this method applies the preprocessing steps to the training, validation, and test datasets.
HIGH…paceship-titanic_template/model/select_randomforest.py0select relevant features. to be used in fit & predict function.
HIGH…periment/spaceship-titanic_template/model/select_nn.py0select relevant features. to be used in fit & predict function.
HIGH…nt/spaceship-titanic_template/model/select_lightgbm.py0select relevant features. to be used in fit & predict function.
HIGH…ent/spaceship-titanic_template/model/select_xgboost.py0select relevant features. to be used in fit & predict function.
HIGH…es/playground-series-s4e9/model/select_randomforest.py0select relevant features. to be used in fit & predict function.
HIGH…nt/templates/playground-series-s4e9/model/select_nn.py0select relevant features. to be used in fit & predict function.
HIGH…plates/playground-series-s4e9/model/select_lightgbm.py0select relevant features. to be used in fit & predict function.
HIGH…mplates/playground-series-s4e9/model/select_xgboost.py0select relevant features. to be used in fit & predict function.
HIGH…es/playground-series-s4e8/model/select_randomforest.py0select relevant features. to be used in fit & predict function.
HIGH…nt/templates/playground-series-s4e8/model/select_nn.py0select relevant features. to be used in fit & predict function.
HIGH…plates/playground-series-s4e8/model/select_lightgbm.py0select relevant features. to be used in fit & predict function.
HIGH…mplates/playground-series-s4e8/model/select_xgboost.py0select relevant features. to be used in fit & predict function.
HIGH…s/playground-series-s3e14/model/select_randomforest.py0select relevant features. to be used in fit & predict function.
HIGH…t/templates/playground-series-s3e14/model/select_nn.py0select relevant features. to be used in fit & predict function.
HIGH…lates/playground-series-s3e14/model/select_lightgbm.py0select relevant features. to be used in fit & predict function.
HIGH…plates/playground-series-s3e14/model/select_xgboost.py0select relevant features. to be used in fit & predict function.
HIGH…plates/meta_tpl_deprecated/model/model_randomforest.py0select relevant features. to be used in fit & predict function.
152 more matches not shown…
Unused Imports310 hits · 308 pts
SeverityFileLineSnippet
LOWtest/utils/test_conf.py4
LOWtest/utils/test_env.py1
LOWtest/utils/test_import.py2
LOWtest/utils/env_tpl/read_exp.py2
LOWtest/utils/env_tpl/read_exp.py3
LOWtest/finetune/test_benchmark_tablebench.py6
LOWtest/finetune/test_benchmark.py10
LOWtest/finetune/test_benchmark_api.py10
LOWtest/oai/test_advanced.py7
LOWtest/oai/test_base.py1
LOWtest/oai/test_completion.py3
LOWtest/notebook/testfiles/main2.py5
LOWtest/notebook/testfiles/main2.py14
LOWtest/notebook/testfiles/main2.py16
LOWrdagent/core/evolving_agent.py1
LOWrdagent/core/conf.py1
LOWrdagent/core/evolving_framework.py1
LOWrdagent/core/proposal.py3
LOWrdagent/core/experiment.py1
LOWrdagent/core/utils.py1
LOWrdagent/core/developer.py1
LOWrdagent/core/interactor.py1
LOWrdagent/app/cli.py9
LOWrdagent/app/benchmark/factor/analysis.py9
LOWrdagent/app/benchmark/model/eval.py14
LOWrdagent/app/CI/run.py1
LOWrdagent/app/utils/ws.py1
LOWrdagent/app/utils/health_check.py6
LOWrdagent/app/utils/info.py4
LOWrdagent/app/utils/info.py9
LOWrdagent/app/utils/ws_ft.py1
LOWrdagent/app/utils/ws_ft.py5
LOWrdagent/app/utils/ws_ft.py7
LOWrdagent/app/finetune/data_science/scen.py4
LOWrdagent/app/finetune/data_science/scen.py5
LOWrdagent/app/finetune/data_science/scen.py8
LOWrdagent/app/finetune/data_science/loop.py8
LOWrdagent/app/finetune/data_science/loop.py9
LOWrdagent/app/qlib_rd_loop/factor_from_report.py4
LOWrdagent/app/qlib_rd_loop/factor_from_report.py15
LOWrdagent/app/rl/ui/data_loader.py17
LOWrdagent/utils/env.py14
LOWrdagent/utils/env.py45
LOWrdagent/utils/__init__.py21
LOWrdagent/utils/agent/apply_patch.py9
LOWrdagent/utils/agent/__init__.py1
LOWrdagent/utils/agent/workflow.py2
LOWrdagent/utils/agent/workflow.py2
LOWrdagent/utils/workflow/__init__.py1
LOWrdagent/utils/workflow/__init__.py1
LOWrdagent/utils/workflow/__init__.py2
LOWrdagent/utils/workflow/__init__.py3
LOWrdagent/utils/workflow/loop.py21
LOWrdagent/utils/workflow/tracking.py18
LOWrdagent/utils/repo/repo_utils.py2
LOWrdagent/oai/llm_utils.py1
LOWrdagent/oai/llm_utils.py10
LOWrdagent/oai/llm_conf.py1
LOWrdagent/oai/backend/deprec.py2
LOWrdagent/oai/backend/deprec.py4
250 more matches not shown…
Excessive Try-Catch Wrapping193 hits · 243 pts
SeverityFileLineSnippet
LOWtest/utils/test_import.py56 except Exception as e:
MEDIUMtest/finetune/test_benchmark_tablebench.py122 print(f"Error: {result.stdout[-2000:] if result.stdout else 'No output'}")
MEDIUMtest/finetune/test_benchmark.py125 print(f"Error: {result.stdout[-2000:] if result.stdout else 'No output'}")
MEDIUMtest/finetune/test_benchmark_api.py296 print(f"Error: {result.stdout[-2000:] if result.stdout else 'No output'}")
LOWtest/oai/test_llm_connectivity.py42 except Exception as e:
LOWtest/notebook/test_util.py1475except Exception as e:
LOWtest/notebook/test_util.py1483except Exception as e:
MEDIUMtest/notebook/testfiles/main2.py56 print(f"Error loading train.csv: {e}")
MEDIUMtest/notebook/testfiles/main2.py62 print(f"Error listing train dir: {e}")
MEDIUMtest/notebook/testfiles/main2.py68 print(f"Error listing test dir: {e}")
MEDIUMtest/notebook/testfiles/main2.py79 print(f"Error reading sample_submission.csv: {e}")
MEDIUMtest/notebook/testfiles/main2.py127 print(f"Error reading {filepath}: {e}")
MEDIUMtest/notebook/testfiles/main2.py372 print("Error computing log_loss on val:", ex)
MEDIUMtest/notebook/testfiles/main2.py420 print("Error computing log_loss on validation:", ex)
MEDIUMtest/notebook/testfiles/main2.py117def load_img_as_numpy_with_mask(filepath):
LOWtest/notebook/testfiles/main2.py55 except Exception as e:
LOWtest/notebook/testfiles/main2.py61 except Exception as e:
LOWtest/notebook/testfiles/main2.py67 except Exception as e:
LOWtest/notebook/testfiles/main2.py78 except Exception as e:
LOWtest/notebook/testfiles/main2.py126 except Exception as e:
LOWtest/notebook/testfiles/main2.py198 except Exception as e:
LOWtest/notebook/testfiles/main2.py370 except Exception as ex:
LOWtest/notebook/testfiles/main2.py418 except Exception as ex:
LOWtest/notebook/testfiles/main2.py446 except Exception:
LOWtest/notebook/testfiles/main_missing_sections.py303 except Exception as e:
LOWtest/notebook/testfiles/main_missing_sections.py311 except Exception as e:
MEDIUMtest/notebook/testfiles/main_missing_sections.py300def main():
LOWtest/notebook/testfiles/main_missing_main_fn.py303except Exception as e:
LOWtest/notebook/testfiles/main_missing_main_fn.py311except Exception as e:
LOWtest/notebook/testfiles/main.py305 except Exception as e:
LOWtest/notebook/testfiles/main.py313 except Exception as e:
LOWrdagent/app/kaggle/loop.py86 except Exception as e:
LOWrdagent/app/kaggle/loop.py106 except Exception as e:
LOWrdagent/app/utils/health_check.py73 except Exception as e:
LOWrdagent/app/utils/health_check.py89 except Exception as e:
LOWrdagent/app/finetune/llm/ui/ft_summary.py55 except Exception:
LOWrdagent/app/finetune/llm/ui/ft_summary.py96 except Exception:
LOWrdagent/app/finetune/llm/ui/ft_summary.py139 except Exception:
LOWrdagent/app/finetune/llm/ui/ft_summary.py181 except Exception:
LOWrdagent/app/finetune/llm/ui/ft_summary.py452 except Exception:
LOWrdagent/app/finetune/llm/ui/ft_summary.py485 except Exception:
LOWrdagent/app/finetune/llm/ui/components.py225 except Exception:
LOWrdagent/app/rl/ui/rl_summary.py45 except Exception:
MEDIUMrdagent/utils/env.py948def prepare(self) -> None:
MEDIUMrdagent/utils/env.py994def prepare(self) -> None:
LOWrdagent/utils/env.py110 except Exception as cleanup_error:
LOWrdagent/utils/env.py346 except Exception as e:
LOWrdagent/utils/env.py863 except Exception as e:
LOWrdagent/utils/env.py887 except Exception as exc: # pragma: no cover - best-effort helper
LOWrdagent/utils/env.py971 except Exception as e:
LOWrdagent/utils/env.py1005 except Exception as e:
LOWrdagent/utils/env.py1405 except Exception:
LOWrdagent/utils/__init__.py83 except Exception as e:
LOWrdagent/utils/__init__.py172 except Exception as e:
LOWrdagent/utils/__init__.py181 except Exception as e:
LOWrdagent/utils/agent/workflow.py53 except Exception as e:
LOWrdagent/utils/workflow/misc.py40 except Exception as e:
MEDIUMrdagent/utils/workflow/misc.py41 print(f"Error: {e}")
LOWrdagent/utils/workflow/loop.py247 except Exception as e:
LOWrdagent/utils/workflow/loop.py556 except Exception as ex:
133 more matches not shown…
Hyper-Verbose Identifiers199 hits · 202 pts
SeverityFileLineSnippet
LOWtest/qlib/test_model_factor_proposal.py42def test_model_proposal_import():
LOWtest/qlib/test_model_factor_proposal.py46def test_factor_proposal_import():
LOWtest/utils/test_env.py146 def test_cleanup_container_import(self):
LOWtest/utils/test_import.py17 def import_all_modules_from_directory(directory):
LOWtest/utils/test_ws.py27 def test_checkpoint_roundtrip(self) -> None:
LOWtest/utils/test_kaggle.py12 def test_competition_template(self):
LOWtest/oai/test_embedding_and_similarity.py22 def test_embedding_similarity(self) -> None:
LOWtest/oai/test_embedding_and_similarity.py29 def test_embedding_long_text_truncation(self) -> None:
LOWtest/oai/test_advanced.py24 def test_chat_cache_multiprocess(self) -> None:
LOWtest/oai/test_completion.py29 def test_chat_completion_json_mode(self) -> None:
LOWtest/oai/test_completion.py41 def test_build_messages_and_calculate_token(self) -> None:
LOWtest/oai/test_completion.py48 def test_json_mode_with_specific_target_type(self) -> None:
LOWtest/oai/test_completion.py68 def test_response_format_with_basemodel(self) -> None:
LOWtest/notebook/test_util.py143 def test_happy_path_no_header(self):
LOWtest/notebook/test_util.py268 def test_ignores_indented_calls(self):
LOWtest/notebook/test_util.py356 def test_happy_path_no_header(self):
LOWtest/notebook/test_util.py477 def test_ignore_unknown_section(self):
LOWtest/notebook/test_util.py548 def test_happy_path_multiline(self):
LOWtest/notebook/test_util.py600 def test_arbitrary_print_happy_path(self):
LOWtest/notebook/test_util.py695 def test_happy_path_with_args(self):
LOWtest/notebook/test_util.py703 def test_happy_path_with_args_multiline(self):
LOWtest/notebook/test_util.py740 def test_function_does_not_exist(self):
LOWtest/notebook/test_util.py807 def test_happy_path_arbitrary_content(self):
LOWtest/notebook/test_util.py820 def test_block_does_not_exist(self):
LOWtest/notebook/test_notebook_converter.py10def normalize_nb_json_for_comparison(nb_json_str):
LOWtest/notebook/test_notebook_converter.py30 def test_validation_missing_main_fn(self):
LOWtest/notebook/test_notebook_converter.py39 def test_validation_missing_sections(self):
LOWtest/notebook/test_notebook_converter.py96 def test_argparse_with_dupe_sys(self):
LOWtest/notebook/testfiles/main2.py117 def load_img_as_numpy_with_mask(filepath):
LOWrdagent/core/conf.py16 def settings_customise_sources(
LOWrdagent/core/evolving_framework.py148 def load_or_init_knowledge_base(
LOWrdagent/core/evolving_framework.py183 def load_dumped_knowledge_base(self, *args: Any, **kwargs: Any) -> None:
LOWrdagent/core/proposal.py178 def get_sota_hypothesis_and_experiment(self) -> tuple[Hypothesis | None, Experiment | None]:
LOWrdagent/core/experiment.py209 def link_all_files_in_folder_to_workspace(data_path: Path, workspace_path: Path) -> None:
LOWrdagent/core/experiment.py275 def inject_code_from_file_dict(self, workspace: FBWorkspace) -> None:
LOWrdagent/app/utils/health_check.py37def check_and_list_free_ports(start_port=19899, max_ports=10) -> None:
LOWrdagent/app/finetune/llm/ui/ft_summary.py457def extract_baseline_full_benchmark(task_path: Path, split: str = "validation") -> dict | None:
LOWrdagent/app/finetune/llm/ui/ft_summary.py490def get_task_full_benchmark_df(task_path: Path, split: str) -> pd.DataFrame:
LOWrdagent/app/finetune/llm/ui/ft_summary.py554def render_task_detail_selector(job_path: Path) -> None:
LOWrdagent/app/finetune/llm/ui/components.py17def convert_latex_for_streamlit(text: str) -> str:
LOWrdagent/app/finetune/data_science/scen.py14 def _get_data_folder_description(self) -> str:
LOWrdagent/app/general_model/general_model.py14def extract_models_and_implement(report_file_path: str) -> None:
LOWrdagent/app/qlib_rd_loop/factor_from_report.py61def extract_hypothesis_and_exp_from_reports(report_file_path: str) -> QlibFactorExperiment | None:
LOWrdagent/utils/env.py69def extract_dir_name_from_path_config(path_str: str) -> str:
LOWrdagent/utils/env.py172 def get_workspace_content_for_hash(self, local_path: str | Path) -> list[list[str]]:
LOWrdagent/utils/env.py275 def unzip_a_file_into_a_folder(
LOWrdagent/utils/env.py537 def dump_python_code_run_and_get_results(
LOWrdagent/utils/env.py811 def populate_exclude_chmod_paths(self) -> "DockerConf":
LOWrdagent/utils/env.py877def _sync_conda_cache_with_real_envs() -> None:
LOWrdagent/utils/env.py1117 def get_workspace_content_for_hash(self, local_path: str | Path) -> list[list[str]]:
LOWrdagent/utils/__init__.py28def get_module_by_module_path(module_path: Union[str, ModuleType]) -> ModuleType:
LOWrdagent/utils/__init__.py193def remove_path_info_from_str(base_path: Path, target_string: str) -> str:
LOWrdagent/utils/agent/workflow.py10def build_cls_from_json_with_retry(
LOWrdagent/utils/workflow/loop.py172 def _check_exit_conditions_on_step(self, loop_id: Optional[int] = None, step_id: Optional[int] = None) -> None:
LOWrdagent/oai/llm_utils.py13def calculate_embedding_distance_between_str_list(
LOWrdagent/oai/backend/deprec.py273 def _create_embedding_inner_function(self, input_content_list: list[str]) -> list[list[float]]:
LOWrdagent/oai/backend/deprec.py294 def _create_chat_completion_inner_function( # type: ignore[no-untyped-def] # noqa: C901, PLR0912, PLR0915
LOWrdagent/oai/backend/deprec.py467 def _calculate_token_from_messages(self, messages: list[dict[str, Any]]) -> int:
LOWrdagent/oai/backend/litellm.py60 def _calculate_token_from_messages(self, messages: list[dict[str, Any]]) -> int:
LOWrdagent/oai/backend/litellm.py71 def _create_embedding_inner_function(self, input_content_list: list[str]) -> list[list[float]]:
139 more matches not shown…
Decorative Section Separators66 hits · 194 pts
SeverityFileLineSnippet
MEDIUMrdagent/utils/__init__.py108 \d+/\d+\s+[━]+\s+\d+s?\s+\d+ms/step.*?\u0008+ | # e.g. "10/100 ━━━━━━ 3s 50ms/step"
MEDIUMrdagent/utils/__init__.py109 \d+/\d+\s+[━]+\s+\d+s?\s+\d+ms/step | # e.g. "10/100 ━━━━━━ 3s 50ms/step" (no backspaces)
MEDIUM…arios/data_science/proposal/exp_gen/trace_scheduler.py134# ======================================================================================
MEDIUM…arios/data_science/proposal/exp_gen/trace_scheduler.py136# ======================================================================================
MEDIUM…enarios/data_science/proposal/exp_gen/select/submit.py38# ==============================================================================
MEDIUM…enarios/data_science/proposal/exp_gen/select/submit.py40# ==============================================================================
MEDIUM…enarios/data_science/proposal/exp_gen/select/submit.py516# ==============================================================================
MEDIUM…enarios/data_science/proposal/exp_gen/select/submit.py518# ==============================================================================
MEDIUM…enarios/data_science/proposal/exp_gen/select/submit.py634# ==============================================================================
MEDIUM…enarios/data_science/proposal/exp_gen/select/submit.py636# ==============================================================================
MEDIUMrdagent/scenarios/finetune/benchmark/data/default.py17# ============================================================================
MEDIUMrdagent/scenarios/finetune/benchmark/data/default.py19# ============================================================================
MEDIUMrdagent/scenarios/finetune/benchmark/data/default.py203# ============================================================================
MEDIUMrdagent/scenarios/finetune/benchmark/data/default.py205# ============================================================================
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml1# =============================================================================
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml3# =============================================================================
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml18 # ═══════════════════════════════════════════════════════════════════════════
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml20 # ═══════════════════════════════════════════════════════════════════════════
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml163 # ═══════════════════════════════════════════════════════════════════════════
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml165 # ═══════════════════════════════════════════════════════════════════════════
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml223 # ═══════════════════════════════════════════════════════════════════════════
MEDIUMrdagent/scenarios/finetune/proposal/prompts.yaml225 # ═══════════════════════════════════════════════════════════════════════════
MEDIUMrdagent/scenarios/rl/autorl_bench/core/server.py356# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/server.py358# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py83# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py85# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py98# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py100# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py173# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py175# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py238# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py240# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py272# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py274# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py346# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py348# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py386# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/utils.py388# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/evaluator.py16# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/evaluator.py18# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/evaluator.py49# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/core/evaluator.py51# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/test/test_fixes.py35# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/test/test_fixes.py37# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/test/test_fixes.py228# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/test/test_fixes.py230# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/test/test_fixes.py313# ============================================================
MEDIUMrdagent/scenarios/rl/autorl_bench/test/test_fixes.py315# ============================================================
MEDIUM…/scenarios/rl/autorl_bench/benchmarks/alfworld/eval.py67# ============================================================
MEDIUM…/scenarios/rl/autorl_bench/benchmarks/alfworld/eval.py69# ============================================================
MEDIUM…/scenarios/rl/autorl_bench/benchmarks/alfworld/eval.py121# ============================================================
MEDIUM…/scenarios/rl/autorl_bench/benchmarks/alfworld/eval.py123# ============================================================
MEDIUM…/scenarios/rl/autorl_bench/benchmarks/alfworld/eval.py212# ============================================================
MEDIUM…/scenarios/rl/autorl_bench/benchmarks/alfworld/eval.py214# ============================================================
MEDIUM…t/scenarios/rl/autorl_bench/benchmarks/webshop/eval.py56# ============================================================
MEDIUM…t/scenarios/rl/autorl_bench/benchmarks/webshop/eval.py58# ============================================================
MEDIUM…t/scenarios/rl/autorl_bench/benchmarks/webshop/eval.py148# ============================================================
MEDIUM…t/scenarios/rl/autorl_bench/benchmarks/webshop/eval.py150# ============================================================
MEDIUM…t/scenarios/rl/autorl_bench/benchmarks/webshop/eval.py261# ============================================================
MEDIUM…t/scenarios/rl/autorl_bench/benchmarks/webshop/eval.py263# ============================================================
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Deep Nesting178 hits · 170 pts
SeverityFileLineSnippet
LOWtest/notebook/testfiles/main2.py37
LOWrdagent/core/evolving_agent.py140
LOWrdagent/core/experiment.py324
LOWrdagent/core/experiment.py350
LOWrdagent/app/CI/run.py182
LOWrdagent/app/CI/run.py432
LOWrdagent/app/CI/run.py185
LOWrdagent/app/finetune/llm/ui/data_loader.py98
LOWrdagent/app/finetune/llm/ui/data_loader.py365
LOWrdagent/app/finetune/llm/ui/data_loader.py423
LOWrdagent/app/finetune/llm/ui/ft_summary.py27
LOWrdagent/app/finetune/llm/ui/ft_summary.py73
LOWrdagent/app/finetune/llm/ui/ft_summary.py101
LOWrdagent/app/finetune/llm/ui/ft_summary.py224
LOWrdagent/app/finetune/llm/ui/ft_summary.py429
LOWrdagent/app/finetune/llm/ui/ft_summary.py457
LOWrdagent/app/finetune/llm/ui/ft_summary.py490
LOWrdagent/app/finetune/llm/ui/app.py28
LOWrdagent/app/finetune/llm/ui/app.py66
LOWrdagent/app/finetune/llm/ui/components.py42
LOWrdagent/app/finetune/llm/ui/components.py58
LOWrdagent/app/finetune/llm/ui/components.py208
LOWrdagent/app/finetune/llm/ui/components.py313
LOWrdagent/app/finetune/llm/ui/components.py461
LOWrdagent/app/finetune/llm/ui/components.py602
LOWrdagent/app/finetune/llm/ui/components.py665
LOWrdagent/app/finetune/llm/ui/benchmarks/bioprobench.py21
LOWrdagent/app/finetune/llm/ui/benchmarks/__init__.py22
LOWrdagent/app/finetune/llm/ui/benchmarks/chemcotbench.py47
LOWrdagent/app/qlib_rd_loop/factor_from_report.py112
LOWrdagent/app/rl/ui/data_loader.py237
LOWrdagent/app/rl/ui/data_loader.py285
LOWrdagent/app/rl/ui/rl_summary.py74
LOWrdagent/app/rl/ui/app.py46
LOWrdagent/app/rl/ui/app.py75
LOWrdagent/app/rl/ui/components.py24
LOWrdagent/app/rl/ui/components.py38
LOWrdagent/app/rl/ui/components.py211
LOWrdagent/utils/env.py139
LOWrdagent/utils/env.py275
LOWrdagent/utils/env.py593
LOWrdagent/utils/env.py1162
LOWrdagent/utils/env.py1308
LOWrdagent/utils/env.py617
LOWrdagent/utils/__init__.py100
LOWrdagent/utils/agent/apply_patch.py275
LOWrdagent/utils/agent/apply_patch.py385
LOWrdagent/utils/agent/apply_patch.py457
LOWrdagent/utils/agent/apply_patch.py173
LOWrdagent/utils/agent/tpl.py33
LOWrdagent/utils/workflow/loop.py194
LOWrdagent/utils/workflow/loop.py313
LOWrdagent/oai/backend/deprec.py109
LOWrdagent/oai/backend/deprec.py294
LOWrdagent/oai/backend/litellm.py95
LOWrdagent/oai/backend/litellm.py127
LOWrdagent/oai/backend/base.py520
LOWrdagent/components/benchmark/eval_method.py200
LOWrdagent/components/knowledge_management/graph.py197
LOWrdagent/components/workflow/rd_loop.py75
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Verbosity Indicators41 hits · 76 pts
SeverityFileLineSnippet
LOWrdagent/utils/env.py955 # Step 1: Install base dependencies (torch, llamafactory, etc.)
LOWrdagent/utils/env.py959 # Step 2: Install flash-attn (requires torch first, uses --no-build-isolation)
LOWrdagent/utils/agent/ret.py97 # Step 1: extract patch by pattern
LOWrdagent/utils/agent/ret.py103 # Step 2: apply the patch, this will modify the file in place
LOW…nt/components/coder/data_science/pipeline/prompts.yaml302 ### Step 6: Similar Successful Implementations to help Code Improvement
LOWrdagent/components/coder/finetune/unified_validator.py70 # Step 1: Parameter filtering
LOWrdagent/components/coder/finetune/unified_validator.py73 # Step 2: Inject required parameters for multi-task environments
LOWrdagent/components/coder/finetune/unified_validator.py76 # Step 3: Micro-batch testing (validates everything at runtime)
LOWrdagent/components/coder/finetune/prompts.yaml87 # Step 1: Run complete sampling/filtering (fast, no LLM) - runs in BOTH modes
LOWrdagent/components/coder/finetune/prompts.yaml90 # Step 2: Limit LLM processing in debug mode only
LOWrdagent/components/coder/finetune/prompts.yaml96 # Step 3: Show the actual number of sampled items (Do not estimate; count the exact number of samples that will be p
LOWrdagent/components/coder/finetune/eval.py68 # Step 1: Check script exists
LOWrdagent/components/coder/finetune/eval.py82 # Step 3: Execute script in DEBUG mode (generates ~10 samples for fast validation)
LOWrdagent/components/coder/finetune/eval.py101 # Step 4: Validate output
LOWrdagent/components/coder/finetune/eval.py111 # Step 5: Load data if valid
LOWrdagent/components/coder/finetune/eval.py120 # Step 6: Generate LLM feedback
LOW…cenarios/data_science/proposal/exp_gen/prompts_v2.yaml803 ### Step 2: **Workflow Update** :
LOW…nt/scenarios/data_science/proposal/exp_gen/proposal.py347 # Step 1: Generate component
LOW…nt/scenarios/data_science/proposal/exp_gen/proposal.py401 # Step 2: Generate the rest of the hypothesis & task
LOW…nt/scenarios/data_science/proposal/exp_gen/proposal.py1367 # Step 1: Identify problems
LOW…nt/scenarios/data_science/proposal/exp_gen/proposal.py1391 # Step 2: Propose hypothesis based on the identified problems (and sampled ideas)
LOW…nt/scenarios/data_science/proposal/exp_gen/proposal.py1458 # Step 3: Select the best hypothesis
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py205 # Step 1: If we have fewer traces than our target, start a new one.
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py210 # Step 2: Probabilistically select a leaf to expand.
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py359 # Step 1: keep same policy to reach target number of parallel traces
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py364 # Step 2: consider only available leaves (not being expanded)
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py369 # Step 3: compute priors (P) from potentials via softmax
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py377 # Step 4: score each leaf using PUCT-like rule: Q + U
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py391 # # Step 5: optimistic visit update on selection; value update deferred to observe_feedback
LOW…data_science/proposal/exp_gen/draft/prompts_draft.yaml220 # Step 2: Workflow Update
LOW…scenarios/data_science/proposal/exp_gen/draft/draft.py246 # Step 0: Prepare
LOW…scenarios/data_science/proposal/exp_gen/draft/draft.py271 # Step 1: Retrieve Knowledge
LOW…scenarios/data_science/proposal/exp_gen/draft/draft.py274 # Step 2: Generate Hypothesis based on General Knowledge
LOW…scenarios/data_science/proposal/exp_gen/draft/draft.py282 # Step 3: Design Task
LOWrdagent/scenarios/finetune/dev/prompts.yaml12 ## Step 0: Pre-definition
LOWrdagent/scenarios/finetune/dev/prompts.yaml17 ## Step 1: Benchmark Metrics Evaluation (HIGHEST PRIORITY)
LOWrdagent/scenarios/finetune/dev/prompts.yaml30 ## Step 2: Code Quality Assessment
LOWrdagent/scenarios/finetune/dev/prompts.yaml34 ## Step 3: Final Decision (Acceptance as SOTA)
LOWrdagent/scenarios/finetune/dev/prompts.yaml190 ## Step 1: Error Classification
LOWrdagent/scenarios/finetune/dev/prompts.yaml197 ## Step 2: Root Cause Analysis
LOWrdagent/scenarios/finetune/dev/prompts.yaml202 ## Step 3: Actionable Suggestions
Self-Referential Comments24 hits · 69 pts
SeverityFileLineSnippet
MEDIUMtest/utils/coder/test_finetune_coder.py14 # Create the ensemble task with actual data context and specification
MEDIUMtest/oai/test_embedding_and_similarity.py31 # Create a very long text that will definitely exceed embedding token limits
MEDIUMrdagent/app/CI/run.py773 # Create a table to display the counts and ratios
MEDIUMrdagent/utils/agent/apply_patch.py2# The following code is modified from https://cookbook.openai.com/examples/gpt4-1_prompting_guide
MEDIUMrdagent/utils/workflow/tracking.py22# Define a placeholder for mlflow if it's not available
MEDIUMrdagent/components/proposal/__init__.py22 # The following methods are scenario related so they should be implemented in the subclass
MEDIUMrdagent/components/coder/factor_coder/evaluators.py21 """This class is the v1 version of evaluator for a single factor implementation.
MEDIUMrdagent/components/coder/factor_coder/eva_utils.py399 # Initialize result variables
MEDIUMrdagent/components/coder/CoSTEER/evaluators.py126 """This class is a base class for all code generator feedback to single implementation"""
MEDIUMrdagent/components/coder/data_science/ensemble/test.py39 # Create the ensemble task with actual data context and specification
MEDIUMrdagent/components/coder/data_science/model/test.py23 # Create the task
MEDIUMrdagent/components/coder/data_science/feature/test.py22 # Create the experiment
MEDIUM…/components/coder/data_science/raw_data_loader/test.py19 # Create the experiment
MEDIUMrdagent/components/coder/data_science/share/notebook.py89 # Create a markdown cell for the section name and comments
MEDIUMrdagent/components/coder/data_science/share/notebook.py98 # Create a code cell for the section code and output
MEDIUMrdagent/scenarios/kaggle/experiment/prompts.yaml241 # Define the forward pass
MEDIUM…xperiment/templates/digit-recognizer/model/model_nn.py11# Define the neural network model with Batch Normalization
MEDIUM…nt/scenarios/data_science/proposal/exp_gen/proposal.py918 # Create a random but reproducible integer
MEDIUM…enarios/data_science/proposal/exp_gen/select/submit.py452 # Create a temporary workspace to test the generated script
MEDIUMrdagent/scenarios/data_science/debug/data.py365 # Create a sampled subset
MEDIUMrdagent/scenarios/finetune/benchmark/benchmark.py183 # Create a temporary environment for merging (use FT env as it has peft/transformers)
MEDIUMrdagent/log/ui/ds_trace.py917 # Create a color map for different root nodes - using colors that work well in both light and dark modes
MEDIUMrdagent/log/ui/app.py1038 # Create a results table
MEDIUMrdagent/log/utils/__init__.py40 # This method is called too frequently, which is not good.
Redundant / Tautological Comments37 hits · 57 pts
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LOWrdagent/app/finetune/llm/ui/ft_summary.py338 # Check if it's a numeric score (with optional "/" separator)
LOWrdagent/app/finetune/llm/ui/app.py44 # Check if standalone task (has __session__ directly)
LOWrdagent/app/finetune/llm/ui/app.py47 # Check if job directory (subdirs have __session__)
LOWrdagent/app/finetune/llm/ui/components.py322 # Check if markdown rendering is enabled
LOWrdagent/utils/env.py1250 # Check if specific GPUs are requested via CUDA_VISIBLE_DEVICES
LOWrdagent/components/coder/factor_coder/eva_utils.py407 # Check if both dataframe has only one columns Mute this since factor task might generate more than one columns
LOWrdagent/components/coder/factor_coder/eva_utils.py422 # Check if the index of the dataframe is ("datetime", "instrument")
LOWrdagent/components/coder/data_science/pipeline/eval.py78 # Check if error_message contains Context7 documentation results
LOWrdagent/components/coder/data_science/pipeline/eval.py242 # Check if scores contain NaN (values)
LOWrdagent/components/coder/data_science/workflow/eval.py113 # Check if scores contain NaN (values)
LOWrdagent/components/coder/data_science/share/eval.py126 # Check if scores contain NaN (values)
LOWrdagent/components/coder/data_science/share/eval.py167 # Check if the content has changed
LOWrdagent/components/coder/finetune/__init__.py71 # Check if proposal decided to skip data processing (reuse SOTA's data processing script)
LOWrdagent/components/coder/model_coder/benchmark/eval.py69 # Check if it is not a good evaluation!!
LOW…narios/qlib/experiment/factor_template/read_exp_res.py31 # Check if the recorder has a valid end time
LOW…narios/qlib/experiment/factor_template/read_exp_res.py40# Check if the latest recorder is found
LOW…enarios/qlib/experiment/model_template/read_exp_res.py31 # Check if the recorder has a valid end time
LOW…enarios/qlib/experiment/model_template/read_exp_res.py40# Check if the latest recorder is found
LOWrdagent/scenarios/kaggle/developer/feedback.py59 # Check if there are any based experiments
LOWrdagent/scenarios/kaggle/experiment/prompts.yaml164 params = ... # Set parameters to XGBoost model
LOW…riment/templates/meta_tpl_deprecated/model/model_nn.py8# Check if a GPU is available
LOW…a_science/example/eval/playground-series-s4e9/valid.py3# Check if our submission file exists
LOW…nce/example/eval/arf-12-hours-prediction-task/valid.py3# Check if our submission file exists
LOW…arios/data_science/proposal/exp_gen/trace_scheduler.py292 # Check if this experiment was successful (decision=True)
LOW…enarios/data_science/proposal/exp_gen/select/expand.py83 # Check if we've reached the maximum number of traces
LOW…enarios/data_science/proposal/exp_gen/select/expand.py131 # Check if we've reached the maximum number of traces
LOW…enarios/data_science/proposal/exp_gen/select/expand.py191 # Check if we've reached the maximum number of traces before creating a new one
LOWrdagent/scenarios/data_science/debug/data.py403 # Check if each file is in the "used" list
LOWrdagent/scenarios/finetune/scen/utils.py558 # Check if tokenizer supports <think> token for CoT training
LOWrdagent/scenarios/finetune/scen/scenario.py246 # Check if already configured
LOWrdagent/scenarios/finetune/benchmark/benchmark.py179 # Check if we need to merge the model (e.g. vLLM doesn't support LoRA with modules_to_save)
LOWrdagent/scenarios/finetune/benchmark/benchmark.py253 # Check if results already exist (skip re-running if cached)
LOWrdagent/scenarios/finetune/benchmark/data/default.py87 # Check if it's conversation format
LOWrdagent/scenarios/finetune/train/eval.py97 # Check if FT_YAML_FILE_NAME exists
LOWrdagent/log/ui/utils.py912 # Check if G is a path (a single line)
LOWrdagent/log/ui/app.py588 # # Check if metric series exists and has the matching round
LOWrdagent/log/ui/app.py912 # Display results
Slop Phrases25 hits · 48 pts
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MEDIUMrdagent/components/coder/factor_coder/factor.py144 # TODO you can change the name of the data folder for a better understanding
MEDIUMrdagent/scenarios/kaggle/experiment/prompts.yaml247 optimizer = torch.optim.Adam(model.parameters(), lr=0.01) # Example optimizer, you can use any optimizer
MEDIUMrdagent/scenarios/kaggle/experiment/prompts.yaml248 criterion = torch.nn.CrossEntropyLoss() # Example loss function, you can use any loss function
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json1036 "output_1":"Escargot is a classic French delicacy made from cooked land snails. It is often served as an appetizer i
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json1037 "output_2":"Making escargot is a delightful culinary experience, and it involves a few key steps. Here\u2019s a basi
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json17 "output_2":"The names of the states in the United States are derived from various historical and cultural factors, b
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json125 "output_2":"As an AI language model, I don't have personal experiences or emotions, but I can provide you with some
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json148 "output_1":"Certainly! Canjeero, also known as Anjero, Laxoox or Somali pancake, is a traditional Somali dish simila
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json149 "output_2":"Certainly! Canjeero is a traditional Somali dish that is known for its rich, flavorful broth and hearty
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json197 "output_2":"As an AI language model, I don't have personal experiences or beliefs, but I can provide you with some g
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json221 "output_2":"As an AI language model, I don't have the ability to perceive or feel physical sensations, including the
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json281 "output_2":"As an AI language model, I don't have a physical form or a personal experience, so I don't become an aut
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json436 "output_1":"Escargot is a classic French delicacy made from cooked land snails. It is often served as an appetizer i
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json473 "output_2":"As an AI language model, I don't have personal experiences or emotions, but I can provide some general i
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json497 "output_2":"As an AI language model, I don't have the ability to physically use a phone, but I can provide you with
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json533 "output_2":"As an AI language model, I don't have personal beliefs or emotions, but I can provide some general infor
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json557 "output_2":"As an AI language model, I don't have personal beliefs or opinions, but I can provide some general infor
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json568 "output_1":"Certainly! Mine Frite, which means \"fried noodles\" in English, is a popular street food dish in Maurit
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json748 "output_1":"Certainly! Canjeero, also known as Anjero, Laxoox or Somali pancake, is a traditional Somali dish simila
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json1061 "output_2":"Of course! Tahini is a delicious and versatile ingredient that can be used in many dishes. Here's a simp
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json1168 "output_1":"Certainly! Mine Frite, which means \"fried noodles\" in English, is a popular street food dish in Maurit
LOW…val/annotators_gpt52_fn/annotations_seed0_configs.json1036 "output_1":"Escargot is a classic French delicacy made from cooked land snails. It is often served as an appetizer i
LOW…val/annotators_gpt52_fn/annotations_seed0_configs.json232 "output_1":"Roasting a whole pig is a traditional and festive way to celebrate for many cultures, and it can be an e
LOW…val/annotators_gpt52_fn/annotations_seed0_configs.json436 "output_1":"Escargot is a classic French delicacy made from cooked land snails. It is often served as an appetizer i
LOW…val/annotators_gpt52_fn/annotations_seed0_configs.json832 "output_1":"Roasting a whole pig is a traditional and festive way to celebrate for many cultures, and it can be an e
Cross-Language Confusion6 hits · 38 pts
SeverityFileLineSnippet
HIGHrdagent/components/agent/context7/conf.py10 bun i && bun run build
HIGHrdagent/scenarios/qlib/developer/utils.py54 if all(first_values.equals(values) for values in candidate_values[1:]):
HIGHrdagent/scenarios/shared/get_runtime_info.py22 strace_check = implementation.execute(env=env, entry="which strace || echo MISSING").strip()
HIGHrdagent/scenarios/shared/get_runtime_info.py27 coverage_check = implementation.execute(env=env, entry="python -m coverage --version || echo MISSING").strip()
HIGHrdagent/log/mle_summary.py226# "score": null,
HIGHrdagent/log/ui/st_fixed_container.py34let lastBackgroundColor = null;
Docstring Block Structure6 hits · 30 pts
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HIGHrdagent/utils/env.py70 Extract the first directory component from a relative path string. This is used to get the basename from path
HIGHrdagent/components/coder/CoSTEER/evaluators.py56 Validates and converts the 'final_decision' field in the given data dictionary. Args: data
HIGH…/kaggle/tpl_ex/aerial-cactus-identification/feature.py11 Perform feature engineering on the input data. Parameters: - X: np.ndarray The input data to be tr
HIGHrdagent/scenarios/data_science/scen/utils.py339 Generate a tree structure of files in a directory. Args: path: Target directory path
HIGHrdagent/scenarios/finetune/scen/utils.py831Scan datasets directory and return top-level dataset names not yet in existing_config. Only scans first-level direc
HIGHrdagent/scenarios/rl/autorl_bench/core/server.py114 提交模型评测 Args: model_path: 模型路径 gpu: 指定 GPU（如 "0", "1", "0,1"），必须是 CUDA_VISIBLE_
AI Slop Vocabulary10 hits · 27 pts
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MEDIUMtest/notebook/test_util.py1667 # Defensive import; fallback to the most robust method for v1.4.15
MEDIUMtest/notebook/testfiles/main_missing_sections.py89 # Defensive import; fallback to the most robust method for v1.4.15
MEDIUMtest/notebook/testfiles/main_missing_main_fn.py89 # Defensive import; fallback to the most robust method for v1.4.15
MEDIUMtest/notebook/testfiles/main.py89 # Defensive import; fallback to the most robust method for v1.4.15
MEDIUMrdagent/scenarios/data_science/loop.py72 # rsync is more robust choice, but it is not installed in some docker images.
MEDIUMrdagent/scenarios/finetune/train/eval.py153 # Combine data processing and training stdout for comprehensive feedback
MEDIUMrdagent/scenarios/finetune/train/eval.py214 # Build comprehensive result with training metrics and benchmark results
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json460 "output_1":"Certainly! Tahini is a paste made from sesame seeds and is quite easy to make at home. You just need ses
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json845 "output_2":"Certainly! When choosing an electric saw, it's important to consider factors such as the type of saw you
MEDIUM…val/annotators_gpt52_fn/annotations_seed0_configs.json1060 "output_1":"Certainly! Tahini is a paste made from sesame seeds and is quite easy to make at home. You just need ses
Over-Commented Block25 hits · 25 pts
SeverityFileLineSnippet
LOWtest/finetune/test_benchmark.py181 results_summary = {}
LOWweb/src/utils/snap.svg-min.js1// Snap.svg 0.5.0
LOWweb/src/router/index.ts41 // },
LOWweb/src/router/index.ts61// query: { redirect: to.fullPath }
LOWrdagent/app/finetune/llm/job/run_ft_job.sh1#!/bin/bash
LOWrdagent/components/loader/task_loader.py21 # self.json_uri = json_uri
LOWrdagent/components/loader/task_loader.py41
LOW…agent/components/coder/CoSTEER/knowledge_management.py781 constraint_labels=["task_trace"],
LOWrdagent/components/coder/CoSTEER/evaluators.py21# 2. If it proves to be useful, relocate it to a more general location.
LOWrdagent/components/coder/CoSTEER/evaluators.py301 task_li_feedback_li.append(multi_implementation_feedback)
LOWrdagent/components/coder/data_science/ensemble/conf.py1# Configuration file for ensemble component
LOWrdagent/scenarios/kaggle/kaggle_crawler.py401 "statoil-iceberg-classifier-challenge",
LOWrdagent/scenarios/data_science/scen/utils.py361 except Exception as e:
LOWrdagent/scenarios/data_science/scen/utils.py381 #
LOW…rios/data_science/proposal/exp_gen/planner/__init__.py41 # elif DS_RD_SETTING.merge_hours > 0:
LOW…/rl/autorl_bench/benchmarks/humaneval/requirements.txt1# HumanEval benchmark 额外依赖
LOW…os/rl/autorl_bench/benchmarks/webshop/requirements.txt1# WebShop benchmark 依赖
LOW…narios/rl/autorl_bench/benchmarks/deepsearchqa/eval.py201 # for step in range(max_steps):
LOW…narios/rl/autorl_bench/benchmarks/deepsearchqa/eval.py221 # observation = search_fn(action_content)
LOWrdagent/log/mle_summary.py221 pd.to_pickle(stat, save_p)
LOWrdagent/log/ui/llm_st.py121
LOWrdagent/log/ui/llm_st.py141# st.json(cxt)
LOWrdagent/log/ui/llm_st.py161# rdict.pop("spec")
LOWrdagent/log/ui/app.py581 if mem := state.msgs[0]["load_experiment"]:
LOWrdagent/log/ui/app.py601 # 'Sharpe': float(f"{metric['1day.excess_return_with_cost.annualized_return'] / abs(metric['1day.exc
Dead Code7 hits · 14 pts
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MEDIUM…agent/components/coder/CoSTEER/knowledge_management.py185
MEDIUM…agent/components/coder/CoSTEER/knowledge_management.py227
MEDIUM…agent/components/coder/CoSTEER/knowledge_management.py228
MEDIUM…agent/components/coder/CoSTEER/knowledge_management.py229
MEDIUM…agent/components/coder/CoSTEER/knowledge_management.py231
MEDIUM…agent/components/coder/CoSTEER/knowledge_management.py232
MEDIUM…agent/components/coder/CoSTEER/knowledge_management.py278
Magic Placeholder Names3 hits · 12 pts
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HIGHrdagent/app/finetune/llm/README.md58OPENAI_API_KEY=<your_api_key>
HIGHrdagent/scenarios/finetune/benchmark/benchmark.py11FT_JUDGE_API_KEY="<your_api_key>"
HIGHrdagent/scenarios/rl/autorl_bench/README.md69OPENAI_API_KEY=your_api_key
Overly Generic Function Names7 hits · 7 pts
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LOWtest/notebook/test_util.py997 "def process_data(data):",
LOWtest/notebook/test_util.py1071 "def process_data(data):",
LOWtest/notebook/test_util.py1155 "def process_data(data):",
LOWtest/notebook/test_util.py1216 "def process_data(data):",
LOWtest/notebook/test_util.py1240 "def process_data(data):",
LOWtest/notebook/test_util.py1326 "def process_data(data):",
LOW…l-iceberg-classifier-challenge/fea_share_preprocess.py20 def process_data(df):
Example Usage Blocks2 hits · 2 pts
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LOWrdagent/app/utils/ape.py22# Example usage
LOWrdagent/log/base.py29 # Usage: