onnx/onnx

12.3

Adjusted Score

12.3

Raw Score

100%

Time Factor

2026-07-13

Last Push

21.1K

Stars

Python

Language

168.6K

Lines of Code

826

Files

2.1K

Pattern Hits

2026-07-14

Scan Date

0.06

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 48MEDIUM 43LOW 2049

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 2140 distinct pattern matches across 20 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Unused Imports858 hits · 726 pts

Severity	File	Line	Context
LOW	tools/pixi-shim.py	15	CODE
LOW	tools/gen_coverage_report.py	6	CODE
LOW	tools/pretty_clang_tidy.py	5	CODE
LOW	tools/check_namespace.py	10	CODE
LOW	onnx/model_container.py	8	CODE
LOW	onnx/gen_proto.py	6	CODE
LOW	onnx/version.py	10	CODE
LOW	onnx/version.py	14	CODE
LOW	onnx/compose.py	4	CODE
LOW	onnx/__init__.py	5	CODE
LOW	onnx/__init__.py	82	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	88	CODE
LOW	onnx/__init__.py	125	CODE
LOW	onnx/__init__.py	125	CODE
LOW	onnx/__init__.py	126	CODE
LOW	onnx/__init__.py	126	CODE
LOW	onnx/__init__.py	126	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/__init__.py	130	CODE
LOW	onnx/parser.py	4	CODE
LOW	onnx/shape_inference.py	10	CODE
LOW	onnx/utils.py	4	CODE
798 more matches not shown…

Hyper-Verbose Identifiers930 hits · 715 pts

Severity	File	Line	Snippet	Context
LOW	onnx/model_container.py	120	def is_in_memory_external_initializer(self, name: str) -> bool:	CODE
LOW	onnx/__init__.py	462	def _operator_set_protos_repr(protos: Sequence[OperatorSetIdProto]) -> str:	CODE
LOW	onnx/shape_inference.py	159	def infer_function_output_types(	CODE
LOW	onnx/utils.py	66	def _dfs_search_reachable_nodes(	CODE
LOW	onnx/utils.py	109	def _collect_referred_local_functions(	CODE
LOW	onnx/utils.py	132	def _collect_reachable_tensors(	CODE
LOW	onnx/helper.py	86	def _create_op_set_id_version_map(table: VersionTableType) -> VersionMapType:	CODE
LOW	onnx/helper.py	781	def make_empty_tensor_value_info(name: str) -> ValueInfoProto:	CODE
LOW	onnx/helper.py	850	def make_sparse_tensor_type_proto(	CODE
LOW	onnx/helper.py	895	def make_sparse_tensor_value_info(	CODE
LOW	onnx/helper.py	973	def make_tensor_sequence_value_info(	CODE
LOW	onnx/helper.py	1285	def tensor_dtype_to_storage_tensor_dtype(tensor_dtype: int) -> int:	CODE
LOW	onnx/inliner.py	30	def inline_selected_functions(	CODE
LOW	onnx/external_data_helper.py	109	def _validate_external_data_file_bounds(	CODE
LOW	onnx/external_data_helper.py	144	def load_external_data_for_tensor(tensor: TensorProto, base_dir: str) -> None:	CODE
LOW	onnx/external_data_helper.py	160	def load_external_data_for_model(model: ModelProto, base_dir: str) -> None:	CODE
LOW	onnx/external_data_helper.py	204	def convert_model_to_external_data(	CODE
LOW	onnx/external_data_helper.py	262	def convert_model_from_external_data(model: ModelProto) -> None:	CODE
LOW	onnx/external_data_helper.py	317	def _recursive_attribute_processor(	CODE
LOW	onnx/external_data_helper.py	328	def _get_initializer_tensors_from_graph(graph: GraphProto, /) -> Iterable[TensorProto]:	CODE
LOW	onnx/external_data_helper.py	343	def _get_attribute_tensors_from_graph(	CODE
LOW	onnx/external_data_helper.py	379	def remove_external_data_field(tensor: TensorProto, field_key: str) -> None:	CODE
LOW	onnx/external_data_helper.py	393	def write_external_data_tensors(model: ModelProto, filepath: str) -> ModelProto:	CODE
LOW	onnx/serialization.py	82	def get_format_from_file_extension(self, file_extension: str) -> str \| None:	CODE
LOW	onnx/tools/replace_constants.py	71	def _replace_constant_of_shape_with_range(	CODE
LOW	onnx/tools/replace_constants.py	153	def _replace_constant_of_shape_value(	CODE
LOW	onnx/tools/replace_constants.py	199	def replace_initializer_by_constant_of_shape( # noqa: PLR0911	CODE
LOW	onnx/tools/update_model_dims.py	12	def update_inputs_outputs_dims(	CODE
LOW⚡	onnx/test/checker_test.py	451	def test_check_tensor_zero_elem(self) -> None:	CODE
LOW⚡	onnx/test/checker_test.py	455	def test_check_removed_experimental_op(self) -> None:	CODE
LOW⚡	onnx/test/checker_test.py	459	def test_skip_schema_check_on_non_standard_domain(self) -> None:	CODE
LOW⚡	onnx/test/checker_test.py	477	def test_check_sparse_tensor_invalid_index(self) -> None:	CODE
LOW⚡	onnx/test/checker_test.py	483	def test_check_sparse_tensor_unordered(self) -> None:	CODE
LOW⚡	onnx/test/checker_test.py	489	def test_check_sparse_tensor_coo_format(self) -> None:	CODE
LOW⚡	onnx/test/checker_test.py	493	def test_check_sparse_tensor_coo_format_invalid_index(self) -> None:	CODE
LOW⚡	onnx/test/checker_test.py	498	def test_check_sparse_tensor_coo_format_invalid_shape(self) -> None:	CODE
LOW	onnx/test/checker_test.py	65	def test_check_node_input_marked_optional(self) -> None:	CODE
LOW	onnx/test/checker_test.py	79	def test_check_function_nested(self) -> None:	CODE
LOW	onnx/test/checker_test.py	195	def test_check_graph_empty_initializer_name(self) -> None:	CODE
LOW	onnx/test/checker_test.py	211	def test_check_graph_empty_sparse_initializer_name(self) -> None:	CODE
LOW	onnx/test/checker_test.py	227	def test_check_graph_duplicate_init_names(self) -> None:	CODE
LOW	onnx/test/checker_test.py	246	def test_check_graph_optional_input(self) -> None:	CODE
LOW	onnx/test/checker_test.py	273	def test_check_graph_topologically_sorted(self) -> None:	CODE
LOW	onnx/test/checker_test.py	298	def test_check_serialized_model(self) -> None:	CODE
LOW	onnx/test/checker_test.py	310	def test_check_model_protobuf_size_boundary(	CODE
LOW	onnx/test/checker_test.py	326	def test_check_model_protobuf_size_over_limit_raises(	CODE
LOW	onnx/test/checker_test.py	379	def test_check_tensor_mismatched_field(self) -> None:	CODE
LOW	onnx/test/checker_test.py	412	def test_nested_graph_without_subgraph_input_shape(self) -> None:	CODE
LOW	onnx/test/checker_test.py	525	def test_check_model_unsupported_input_type(self) -> None:	CODE
LOW	onnx/test/checker_test.py	537	def test_check_model_inconsistent_type(self) -> None:	CODE
LOW	onnx/test/checker_test.py	549	def test_check_model_unsupported_output_type(self) -> None:	CODE
LOW	onnx/test/checker_test.py	1081	def test_empty_list_attribute(self):	CODE
LOW	onnx/test/checker_test.py	1111	def test_check_model_supports_unicode_path(self):	CODE
LOW	onnx/test/checker_test.py	1127	def test_graph_output_is_defined(self):	CODE
LOW	onnx/test/checker_test.py	1141	def test_graph_output_is_defined_within_sub_graph(self):	CODE
LOW	onnx/test/checker_test.py	1162	def test_check_model_rejects_self_recursive_function(self) -> None:	CODE
LOW	onnx/test/checker_test.py	1176	def test_check_model_rejects_indirect_cycle(self) -> None:	CODE
LOW	onnx/test/checker_test.py	1192	def test_check_model_rejects_self_recursion_in_subgraph(self) -> None:	CODE
LOW	onnx/test/checker_test.py	1216	def test_check_model_rejects_mutual_recursion_in_subgraph(self) -> None:	CODE
LOW	onnx/test/checker_test.py	1248	def test_check_model_rejects_indirect_cycle_through_subgraph(self) -> None:	CODE
870 more matches not shown…

Cross-File Repetition42 hits · 210 pts

Severity	File	Snippet	Context
HIGH	onnx/test/checker_test.py	<ir_version: 8, opset_import: [ "" : 17, "local" : 1 ]> agraph (float[n] x) => (float[n] y) { y = local.foo (x) } <opset	STRING
HIGH	onnx/test/inliner_test.py	<ir_version: 8, opset_import: [ "" : 17, "local" : 1 ]> agraph (float[n] x) => (float[n] y) { y = local.foo (x) } <opset	STRING
HIGH	onnx/test/shape_inference_test.py	<ir_version: 8, opset_import: [ "" : 17, "local" : 1 ]> agraph (float[n] x) => (float[n] y) { y = local.foo (x) } <opset	STRING
HIGH	onnx/test/shape_inference_test.py	flexattention with different head sizes for q/k vs v.	STRING
HIGH	onnx/backend/test/case/node/flexattention.py	flexattention with different head sizes for q/k vs v.	STRING
HIGH	docs/TestCoverage.md	flexattention with different head sizes for q/k vs v.	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 5, 5] pad_shape: [4, 4] -> [2, 2, 2, 2] by axis	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 5, 5] pad_shape: [4, 4] -> [2, 2, 2, 2] by axis	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 5, 5] pad_shape: [4, 4] -> [2, 2, 2, 2] by axis	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 2, 2]	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 2, 2]	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 2, 2]	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 3, 3] pad_shape: [2, 2] -> [1, 1, 1, 1] by axis	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 3, 3] pad_shape: [2, 2] -> [1, 1, 1, 1] by axis	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 1, 5, 5] output_shape: [1, 1, 3, 3] pad_shape: [2, 2] -> [1, 1, 1, 1] by axis	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 3, 32, 32, 32] output_shape: [1, 3, 31, 31, 31]	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 3, 32, 32, 32] output_shape: [1, 3, 31, 31, 31]	STRING
HIGH	onnx/backend/test/case/node/lppool.py	input_shape: [1, 3, 32, 32, 32] output_shape: [1, 3, 31, 31, 31]	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 3, 32, 32, 32] output_shape: [1, 3, 31, 31, 31]	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 32, 32] pad_shape: [1, 1] -> [1, 0, 1, 0] by axis	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 32, 32] pad_shape: [1, 1] -> [1, 0, 1, 0] by axis	STRING
HIGH	onnx/backend/test/case/node/lppool.py	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 32, 32] pad_shape: [1, 1] -> [1, 0, 1, 0] by axis	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 32, 32] pad_shape: [1, 1] -> [1, 0, 1, 0] by axis	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 3, 28, 28] output_shape: [1, 3, 30, 30] pad_shape: [4, 4] -> [2, 2, 2, 2] by axis	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 3, 28, 28] output_shape: [1, 3, 30, 30] pad_shape: [4, 4] -> [2, 2, 2, 2] by axis	STRING
HIGH	onnx/backend/test/case/node/lppool.py	input_shape: [1, 3, 28, 28] output_shape: [1, 3, 30, 30] pad_shape: [4, 4] -> [2, 2, 2, 2] by axis	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 3, 28, 28] output_shape: [1, 3, 30, 30] pad_shape: [4, 4] -> [2, 2, 2, 2] by axis	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 10, 10]	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 10, 10]	STRING
HIGH	onnx/backend/test/case/node/lppool.py	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 10, 10]	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 3, 32, 32] output_shape: [1, 3, 10, 10]	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 1, 4, 4, 4] output_shape: [1, 1, 2, 2, 2]	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 1, 4, 4, 4] output_shape: [1, 1, 2, 2, 2]	STRING
HIGH	onnx/backend/test/case/node/lppool.py	input_shape: [1, 1, 4, 4, 4] output_shape: [1, 1, 2, 2, 2]	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 1, 4, 4, 4] output_shape: [1, 1, 2, 2, 2]	STRING
HIGH	onnx/backend/test/case/node/averagepool.py	input_shape: [1, 1, 2, 2] output_shape: [1, 1, 1, 1]	STRING
HIGH	docs/TestCoverage.md	input_shape: [1, 1, 2, 2] output_shape: [1, 1, 1, 1]	STRING
HIGH	onnx/backend/test/case/node/maxpool.py	input_shape: [1, 1, 2, 2] output_shape: [1, 1, 1, 1]	STRING
HIGH	onnx/reference/ops/experimental/_op_list.py	loads the implemented for a specified operator. args: domain: domain op_type: operator type version: requested version c	STRING
HIGH	onnx/reference/ops/aionnx_preview_training/_op_list.py	loads the implemented for a specified operator. args: domain: domain op_type: operator type version: requested version c	STRING
HIGH	onnx/reference/ops/aionnx_preview/_op_list.py	loads the implemented for a specified operator. args: domain: domain op_type: operator type version: requested version c	STRING
HIGH	onnx/reference/ops/aionnxml/_op_list.py	loads the implemented for a specified operator. args: domain: domain op_type: operator type version: requested version c	STRING

Deep Nesting97 hits · 96 pts

Severity	File	Line	Context
LOW	tools/check_namespace.py	15	CODE
LOW	onnx/gen_proto.py	41	CODE
LOW	onnx/compose.py	91	CODE
LOW	onnx/compose.py	446	CODE
LOW	onnx/compose.py	569	CODE
LOW	onnx/compose.py	221	CODE
LOW	onnx/numpy_helper.py	321	CODE
LOW	onnx/numpy_helper.py	400	CODE
LOW	onnx/numpy_helper.py	562	CODE
LOW	onnx/helper.py	86	CODE
LOW	onnx/helper.py	365	CODE
LOW	onnx/helper.py	508	CODE
LOW	onnx/helper.py	570	CODE
LOW	onnx/helper.py	608	CODE
LOW	onnx/helper.py	787	CODE
LOW	onnx/helper.py	850	CODE
LOW	onnx/helper.py	993	CODE
LOW	onnx/helper.py	1231	CODE
LOW	onnx/external_data_helper.py	204	CODE
LOW	onnx/external_data_helper.py	58	CODE
LOW	onnx/tools/replace_constants.py	199	CODE
LOW	onnx/test/reference_evaluator_test.py	214	CODE
LOW	onnx/test/backend_test.py	37	CODE
LOW	onnx/test/shape_inference_test.py	201	CODE
LOW	onnx/test/backend_reference_test.py	28	CODE
LOW	onnx/test/compose_test.py	489	CODE
LOW	onnx/test/compose_test.py	621	CODE
LOW	onnx/test/model_container_test.py	115	CODE
LOW	…st/version_converter/automatic_conversion_test_base.py	44	CODE
LOW	onnx/backend/test/stat_coverage.py	40	CODE
LOW	onnx/backend/test/stat_coverage.py	152	CODE
LOW	onnx/backend/test/cmd_tools.py	20	CODE
LOW	onnx/backend/test/runner/__init__.py	123	CODE
LOW	onnx/backend/test/runner/__init__.py	254	CODE
LOW	onnx/backend/test/runner/__init__.py	341	CODE
LOW	onnx/backend/test/runner/__init__.py	504	CODE
LOW	onnx/backend/test/runner/__init__.py	346	CODE
LOW	onnx/backend/test/loader/__init__.py	16	CODE
LOW	onnx/backend/test/case/node/cast.py	27	CODE
LOW	onnx/backend/test/case/node/cast.py	321	CODE
LOW	onnx/backend/test/case/node/__init__.py	37	CODE
LOW	onnx/backend/test/case/node/__init__.py	264	CODE
LOW	onnx/backend/test/case/node/scatternd.py	13	CODE
LOW	onnx/backend/test/case/node/scatterelements.py	19	CODE
LOW	onnx/backend/test/case/node/castlike.py	23	CODE
LOW	onnx/backend/test/report/coverage.py	147	CODE
LOW	onnx/reference/op_run.py	157	CODE
LOW	onnx/reference/op_run.py	232	CODE
LOW	onnx/reference/op_run.py	387	CODE
LOW	onnx/reference/reference_evaluator.py	195	CODE
LOW	onnx/reference/reference_evaluator.py	395	CODE
LOW	onnx/reference/ops_optimized/op_conv_optimized.py	50	CODE
LOW	onnx/reference/ops/op_scatter_elements.py	11	CODE
LOW	onnx/reference/ops/op_constant.py	71	CODE
LOW	onnx/reference/ops/op_roi_align.py	28	CODE
LOW	onnx/reference/ops/op_roi_align.py	117	CODE
LOW	onnx/reference/ops/op_grid_sample.py	286	CODE
LOW	onnx/reference/ops/op_sequence_insert.py	41	CODE
LOW	onnx/reference/ops/op_conv.py	11	CODE
LOW	onnx/reference/ops/_op_common_pool.py	64	CODE
37 more matches not shown…

Over-Commented Block87 hits · 84 pts

Severity	File	Line	Snippet	Context
LOW	.pre-commit-config.yaml	1	# Copyright (c) ONNX Project Contributors	COMMENT
LOW	.lintrunner.toml	1	# Configuration for lintrunner https://github.com/suo/lintrunner	COMMENT
LOW	.lintrunner.toml	21	#	COMMENT
LOW	onnx/onnx_pb.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/onnx_pb.h	21	#define ONNX_EXPORT __attribute__((__visibility__("default")))	COMMENT
LOW	onnx/onnx_pb.h	41	//	COMMENT
LOW	onnx/checker.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/onnx-operators_pb.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/proto_utils.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/convert.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/convert.h	21	#include "onnx/version_converter/adapters/axes_attribute_to_input.h"	COMMENT
LOW	onnx/version_converter/convert.h	41	#include "onnx/version_converter/adapters/range_27_26.h"	COMMENT
LOW	onnx/version_converter/BaseConverter.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/BaseConverter.h	41	// adapter_lookup should be called in convert_version when the user would	COMMENT
LOW	onnx/version_converter/adapters/q_dq_21_20.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/adapters/type_restriction.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/adapters/adapter.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	…_converter/adapters/broadcast_backward_compatibility.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/adapters/range_27_26.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/adapters/upsample_9_8.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/adapters/scatter_16_15.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	…nx/version_converter/adapters/extend_supported_types.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/version_converter/adapters/transformers.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/tools/__init__.py	1	# Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/frontend/__init__.py	1	# Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/test/function_test.py	21	),	COMMENT
LOW	onnx/test/function_test.py	41	# \| \| \| \|	COMMENT
LOW	onnx/test/shape_inference_test.py	6681	)	COMMENT
LOW	onnx/bin/__init__.py	1	# Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/shape_inference/implementation.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/backend/__init__.py	1	# Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/backend/test/case/node/unique.py	141	)	COMMENT
LOW	onnx/backend/test/case/node/resize.py	401	)	COMMENT
LOW	onnx/backend/test/case/node/resize.py	541		COMMENT
LOW	onnx/backend/test/case/node/resize.py	641	# 3.96160918 4.50364964 4.75976814]	COMMENT
LOW	onnx/backend/test/case/node/resize.py	741	# [ 2.625 3.03125 3.625 4.125 4.625 5.21875 5.625	COMMENT
LOW	onnx/backend/test/case/node/trilu.py	141	outputs=["y"],	COMMENT
LOW	onnx/backend/test/case/node/trilu.py	201	x = np.random.randint(10, size=(3, 1, 5)).astype(np.int64)	COMMENT
LOW	onnx/backend/test/case/node/trilu.py	361		COMMENT
LOW	onnx/backend/test/case/node/trilu.py	421	x = np.random.randint(10, size=(3, 1, 5)).astype(np.int64)	COMMENT
LOW	onnx/common/file_utils.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/path.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/ir.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/ir.h	21	#include <unordered_map>	COMMENT
LOW	onnx/common/ir.h	561		COMMENT
LOW	onnx/common/ir.h	621		COMMENT
LOW	onnx/common/ir.h	661	//	COMMENT
LOW	onnx/common/ir.h	721	graph_node_list_iterator reverseIterator();	COMMENT
LOW	onnx/common/scoped_resource.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/graph_node_list.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/graph_node_list.h	21	// things, you will have to do some refactoring.	COMMENT
LOW	onnx/common/common.h	21		COMMENT
LOW	onnx/common/safe_math.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/proto_util.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/tensor.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/array_ref.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/common/array_ref.h	21	// removed a bunch of slice variants for simplicity...	COMMENT
LOW	onnx/common/model_helpers.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/inliner/inliner.h	1	// Copyright (c) ONNX Project Contributors	COMMENT
LOW	onnx/reference/ops/op_attention.py	161	)	COMMENT
27 more matches not shown…

Decorative Section Separators12 hits · 36 pts

Severity	File	Line	Snippet	Context
MEDIUM	onnx/backend/test/case/node/gridsample.py	303	# ============================================================================	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	59	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	61	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	260	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	262	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	329	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	331	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	437	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	439	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	509	# ------------------------------------------------------------------	COMMENT
MEDIUM	onnx/backend/test/case/node/linear_attention.py	511	# ------------------------------------------------------------------	COMMENT
MEDIUM	docs/TestCoverage.md	11881	# ============================================================================	COMMENT

Self-Referential Comments16 hits · 34 pts

Severity	File	Line	Snippet	Context
MEDIUM	onnx/gen_proto.py	214	# This file is generated by 'gen_proto.py'. DO NOT EDIT!	COMMENT
MEDIUM	onnx/numpy_helper.py	130	# Create a 1D copy	COMMENT
MEDIUM	onnx/numpy_helper.py	174	# Create a 1D copy	COMMENT
MEDIUM	onnx/test/version_converter_test.py	2518	# Create a model with external data	COMMENT
MEDIUM	onnx/test/external_data_test.py	949	# Create a target file and replace external data with a symlink to it	COMMENT
MEDIUM	onnx/test/external_data_test.py	999	# Create a model directory with a real subdir for saving	COMMENT
MEDIUM	onnx/test/external_data_test.py	1045	# Create a hardlink to the external data file	COMMENT
MEDIUM	onnx/test/shape_inference_test.py	6300	# Create a simple If node where the 'then' subgraph adds to the current value, and the 'else' subgraph	STRING
MEDIUM	onnx/test/shape_inference_test.py	6322	# Create a simple If node where the 'then' subgraph adds to the current value, and the 'else' subgraph	STRING
MEDIUM	onnx/test/shape_inference_test.py	6342	# Create a simple If node where the 'then' subgraph adds to the current value, and the 'else' subgraph	STRING
MEDIUM	onnx/test/shape_inference_test.py	8155	# Create a TensorProto with incorrect data type for `delta`.	STRING
MEDIUM	onnx/test/shape_inference_test.py	8181	# Create a TensorProto with empty raw data for `delta`.	STRING
MEDIUM	onnx/test/training_tool_test.py	69	# Create a model with both inference and training information.	COMMENT
MEDIUM	onnx/backend/test/case/node/image_decoder.py	16	# Create an empty RGB image	COMMENT
MEDIUM	onnx/backend/test/case/node/_image_decoder_data.py	5	# This file contains freeze NumPy array for ImageDecoder backend test's input/output	COMMENT
MEDIUM	onnx/reference/ops/op_pool_common.py	176	"""This function is used to calculate the pooling result of a padded tensor	STRING

AI Slop Vocabulary10 hits · 30 pts

Severity	File	Line	Snippet	Context
MEDIUM	pyproject.toml	275	"PERF203", # try-except in loop is unavoidable in the version-converter harness	CODE
MEDIUM	onnx/fuzz/make_seed_corpus.py	187	# ModelProto with no trailing bytes: the harness's raw path passes the full	STRING
MEDIUM	onnx/fuzz/make_seed_corpus.py	334	# harness's raw path: a 4-byte big-endian length prefix for m1's serialized	COMMENT
MEDIUM	onnx/fuzz/make_seed_corpus.py	337	# The harness derives the io_map from m1's output names and m2's input names,	COMMENT
MEDIUM	onnx/fuzz/make_seed_corpus.py	518	# serialized ModelProto with no trailing bytes, so the harness's raw path	COMMENT
MEDIUM	onnx/reference/ops/op_lp_pool.py	24	# utilize AvgPool the same fashion Pytorch does. Note that there is a difference in computation.	COMMENT
MEDIUM⚡	.github/workflows/fuzz.yml	8	# (see google/oss-fuzz#15382) — it exists to catch harness regressions	COMMENT
MEDIUM⚡	.github/workflows/fuzz.yml	9	# (import errors, API drift, a harness file going missing) at PR time	COMMENT
MEDIUM⚡	.github/workflows/fuzz.yml	14	# for the harness/toggle-byte details.	COMMENT
MEDIUM	.github/workflows/fuzz.yml	32	- cron: '0 6 * * *' # nightly: run each harness for longer than the PR smoke test	CODE

AI Structural Patterns26 hits · 26 pts

Severity	File	Line	Context
LOW	onnx/compose.py	300	CODE
LOW	onnx/compose.py	446	CODE
LOW	onnx/compose.py	569	CODE
LOW	onnx/test/compose_test.py	740	CODE
LOW	…st/version_converter/automatic_conversion_test_base.py	44	CODE
LOW	onnx/reference/ops/op_attention.py	79	CODE
LOW	onnx/reference/ops/op_attention.py	304	CODE
LOW	onnx/reference/ops/op_roi_align.py	12	CODE
LOW	onnx/reference/ops/op_linear_attention.py	23	CODE
LOW	onnx/reference/ops/op_scan.py	114	CODE
LOW	onnx/reference/ops/op_gru.py	72	CODE
LOW	onnx/reference/ops/op_lstm.py	76	CODE
LOW	onnx/reference/ops/op_lp_pool.py	12	CODE
LOW	onnx/reference/ops/op_conv_integer.py	13	CODE
LOW	onnx/reference/ops/op_rnn.py	94	CODE
LOW	onnx/reference/ops/op_deform_conv.py	149	CODE
LOW	onnx/reference/ops/op_attribute_has_value.py	12	CODE
LOW	onnx/reference/ops/op_resize.py	580	CODE
LOW	onnx/reference/ops/op_tfidf_vectorizer.py	237	CODE
LOW	onnx/reference/ops/op_tfidf_vectorizer.py	300	CODE
LOW	onnx/reference/ops/op_conv_transpose.py	13	CODE
LOW	…/reference/ops/aionnxml/op_tree_ensemble_classifier.py	19	CODE
LOW	onnx/reference/ops/aionnxml/op_svm_classifier.py	223	CODE
LOW	…x/reference/ops/aionnxml/op_tree_ensemble_regressor.py	15	CODE
LOW	onnx/reference/ops/aionnxml/op_svm_regressor.py	13	CODE
LOW	onnx/reference/ops/aionnxml/op_label_encoder.py	12	CODE

Docstring Block Structure4 hits · 20 pts

Severity	File	Line	Snippet	Context
HIGH	onnx/serialization.py	64	Get a serializer for a format. Args: fmt: The format to get a serializer for. Returns:	STRING
HIGH	onnx/reference/op_run.py	388	Calls method ``_run``, catches exceptions, displays a longer error message. Args: *args: in	STRING
HIGH	onnx/reference/reference_evaluator.py	557	Executes the onnx model. Args: output_names: requested outputs by names, None for all f	STRING
HIGH	onnx/reference/ops/op_resize.py	135	Return the n nearest indexes to x among `[0, limit)`, prefer the indexes smaller than x. As a result, the ratio	STRING

Excessive Try-Catch Wrapping17 hits · 19 pts

Severity	File	Line	Snippet	Context
LOW⚡	onnx/test/reference_evaluator_test.py	266	except Exception as e:	STRING
LOW	onnx/backend/test/runner/__init__.py	49	except Exception: # noqa: PERF203	CODE
LOW	onnx/backend/test/runner/__init__.py	249	except Exception as e:	CODE
LOW	onnx/fuzz/fuzz_version_converter.py	40	except Exception:	CODE
LOW	onnx/fuzz/fuzz_version_converter.py	46	except Exception:	CODE
MEDIUM	onnx/fuzz/fuzz_version_converter.py	37	def TestOneInput(data):	CODE
LOW	onnx/fuzz/fuzz_compose.py	133	except Exception:	CODE
LOW	onnx/fuzz/fuzz_parser.py	17	except Exception:	CODE
MEDIUM	onnx/fuzz/fuzz_parser.py	13	def TestOneInput(data):	CODE
LOW	onnx/fuzz/fuzz_model_loader.py	20	except Exception:	CODE
MEDIUM	onnx/fuzz/fuzz_model_loader.py	13	def TestOneInput(data):	CODE
LOW	onnx/fuzz/fuzz_shape_inference.py	175	except Exception:	CODE
LOW	onnx/fuzz/fuzz_checker.py	16	except Exception:	CODE
MEDIUM	onnx/fuzz/fuzz_checker.py	13	def TestOneInput(data):	CODE
LOW	docs/docsgen/source/intro/python.md	1168	except Exception as e:	STRING
LOW	docs/docsgen/source/intro/python.md	1585	except Exception as e:	STRING
LOW	docs/docsgen/source/intro/python.md	1592	except Exception as e:	STRING

Modern Structural Boilerplate19 hits · 19 pts

Severity	File	Line	Snippet	Context
LOW	onnx/version.py	24	__all__ = ["version", "git_version"]	CODE
LOW	onnx/__init__.py	7	__all__ = [	CODE
LOW	onnx/helper.py	361	def set_model_props(model: ModelProto, dict_value: dict[str, str]) -> None:	CODE
LOW	onnx/serialization.py	9	__all__ = [	CODE
LOW	onnx/checker.py	8	__all__ = [	CODE
LOW	onnx/tools/update_model_dims.py	62	def update_dim(tensor: ValueInfoProto, dim: Any, j: int, name: str) -> None:	CODE
LOW	onnx/backend/test/__init__.py	6	__all__ = ["BackendTest"]	CODE
LOW	onnx/reference/__init__.py	6	__all__ = ["ReferenceEvaluator"]	CODE
LOW	onnx/reference/ops_optimized/__init__.py	10	__all__ = ["Conv", "optimized_operators"]	CODE
LOW	onnx/reference/ops/__init__.py	6	__all__ = ["load_op"]	CODE
LOW	onnx/reference/ops/_op_list.py	15	__all__ = [	CODE
LOW	onnx/reference/ops/experimental/__init__.py	6	__all__ = ["load_op"]	CODE
LOW	onnx/reference/ops/aionnx_preview_training/__init__.py	6	__all__ = ["load_op", "OpRunTraining"]	CODE
LOW	onnx/reference/ops/aionnx_preview_training/_op_list.py	6	__all__ = [	CODE
LOW	onnx/reference/ops/aionnx_preview/__init__.py	6	__all__ = ["load_op"]	CODE
LOW	onnx/reference/ops/aionnx_preview/_op_list.py	6	__all__ = [	CODE
LOW	onnx/reference/ops/aionnxml/__init__.py	4	__all__ = ["load_op"]	CODE
LOW	onnx/reference/ops/aionnxml/_op_list.py	8	__all__ = [	CODE
LOW	onnx/defs/__init__.py	6	__all__ = [	CODE

Structural Annotation Overuse8 hits · 15 pts

Severity	File	Line	Snippet	Context
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	41	# Step 1: build the left-padded input (B, C, L + k - 1).	COMMENT
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	48	# Step 2: depthwise Conv1d (group = channels, valid padding).	COMMENT
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	61	# Step 3: optional fused SiLU/Swish activation.	COMMENT
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	68	# Step 4: present_state = last (k - 1) positions of the padded input.	COMMENT
LOW	docs/AddNewOp.md	43	### Step 1: Proposing a new operator/function	COMMENT
LOW	docs/AddNewOp.md	61	### Step 2: Submit PR	COMMENT
LOW	docs/AddNewOp.md	114	### Step 3: PR Review by Operators SIG	COMMENT
LOW	docs/AddNewOp.md	122	### Step 4: ONNX release	COMMENT

Verbosity Indicators4 hits · 9 pts

Severity	File	Line	Snippet	Context
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	41	# Step 1: build the left-padded input (B, C, L + k - 1).	COMMENT
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	48	# Step 2: depthwise Conv1d (group = channels, valid padding).	COMMENT
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	61	# Step 3: optional fused SiLU/Swish activation.	COMMENT
LOW⚡	onnx/reference/ops/op_causal_conv_with_state.py	68	# Step 4: present_state = last (k - 1) positions of the padded input.	COMMENT

Redundant / Tautological Comments5 hits · 8 pts

Severity	File	Line	Snippet	Context
LOW	onnx/test/training_tool_test.py	71	# Check if the inference-only part is correct.	COMMENT
LOW⚡	onnx/test/basic_test.py	208	# Check if the version is correct.	COMMENT
LOW⚡	onnx/test/basic_test.py	212	# Check if the __repr__ methods work without error	COMMENT
LOW	onnx/test/compose_test.py	482	# Check if all inputs are prefixed even if input is not connected to node. e.g., 'unused_input'.	STRING
LOW	onnx/reference/ops/op_string_split.py	30	# Add padding to lists that are shorter than the maximum length	COMMENT

Cross-Language Confusion1 hit · 8 pts

Severity	File	Line	Snippet	Context
HIGH	onnx/reference/op_run.py	269	# default value is undefined, it depends on the inputs	COMMENT

AI Response Leakage1 hit · 8 pts

Severity	File	Line	Snippet	Context
HIGH	onnx/reference/ops/op_grid_sample.py	311	# In this implementation, we took the latter approach.	COMMENT

Modern AI Meta-Vocabulary1 hit · 2 pts

Severity	File	Line	Snippet	Context
MEDIUM	pyproject.toml	273	"PLR2004", # Magic numbers are fine in low-level fuzz scaffolding	CODE

Fake / Example Data1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	docs/docsgen/source/_static/diff2html-ui-slim.min.js	1	!function(e,n){if("object"==typeof exports&&"object"==typeof module)module.exports=n();else if("function"==typeof define	CODE

Overly Generic Function Names1 hit · 0 pts

Severity	File	Line	Snippet	Context
LOW	onnx/test/external_data_test.py	827	def test_function(self) -> None:	CODE

Analysis Overview

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