shap/shap

7.3

Adjusted Score

7.3

Raw Score

100%

Time Factor

2026-07-13

Last Push

25.6K

Stars

Jupyter Notebook

Language

151.5K

Lines of Code

249

Files

859

Pattern Hits

2026-07-14

Scan Date

0.14

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 3HIGH 33MEDIUM 28LOW 795

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 859 distinct pattern matches across 17 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.

Hyper-Verbose Identifiers394 hits · 382 pts

Severity	File	Line	Snippet	Context
LOW	shap/_explanation.py	730	def _use_data_as_feature_names(self) -> dict[Any, list[Any]]:	CODE
LOW	shap/benchmark/metrics.py	143	def keep_absolute_mask__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/metrics.py	187	def remove_absolute_mask__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/metrics.py	231	def keep_absolute_resample__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/metrics.py	275	def remove_absolute_resample__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/metrics.py	319	def keep_absolute_impute__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/metrics.py	363	def remove_absolute_impute__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/metrics.py	455	def batch_remove_absolute_retrain__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/metrics.py	467	def batch_keep_absolute_retrain__roc_auc(X, y, model_generator, method_name, num_fcounts=11):	CODE
LOW	shap/benchmark/methods.py	56	def tree_shap_tree_path_dependent(model, data):	CODE
LOW	shap/maskers/_text.py	380	def post_process_sentencepiece_tokenizer_output(s):	CODE
LOW	shap/maskers/_image.py	175	def _jit_build_partition_tree(xmin, xmax, ymin, ymax, zmin, zmax, total_ywidth, total_zwidth, M, clustering, q):	CODE
LOW	shap/utils/transformers.py	28	def parse_prefix_suffix_for_tokenizer(tokenizer):	CODE
LOW	shap/utils/_clustering.py	101	def _reverse_window_score_gain(	CODE
LOW	shap/utils/_masked_model.py	171	# def _build_varying_delta_mask_rows(self, masks):	COMMENT
LOW	shap/utils/_masked_model.py	281	def _assert_output_input_match(inputs, outputs):	CODE
LOW	shap/utils/_masked_model.py	287	def _convert_delta_mask_to_full(masks, full_masks):	CODE
LOW	shap/utils/_masked_model.py	352	def _build_fixed_single_output(	CODE
LOW	shap/utils/_masked_model.py	377	def _build_fixed_multi_output(	CODE
LOW	shap/utils/_legacy.py	82	def convert_to_instance_with_index(val, column_name, index_value, index_name):	CODE
LOW	shap/models/_topk_lm.py	113	def get_output_names_and_update_topk_token_ids(self, X):	CODE
LOW	shap/models/_text_generation.py	206	def parse_prefix_suffix_for_model_generate_output(self, output):	CODE
LOW	shap/models/_teacher_forcing.py	349	def get_teacher_forced_logits(self, X, Y):	CODE
LOW	shap/explainers/_coalition.py	349	def create_partition_hierarchy(	CODE
LOW	shap/explainers/_coalition.py	443	def _generate_paths_and_combinations(node: Node) -> list[tuple[str, tuple[Any, ...], float]]:	CODE
LOW	shap/explainers/_coalition.py	512	def _map_combinations_to_unique_masks(	CODE
LOW	shap/explainers/_explainer.py	516	def supports_model_with_masker(model: Any, masker: Any) -> bool:	CODE
LOW	shap/explainers/_linear.py	355	def supports_model_with_masker(model: Any, masker: Any) -> bool:	CODE
LOW	shap/explainers/_additive.py	110	def supports_model_with_masker(model: Any, masker: Any) -> bool:	CODE
LOW	shap/explainers/_exact.py	245	def _compute_grey_code_row_values_st(	CODE
LOW	shap/explainers/_tree.py	59	def _safe_check_tree_instance_experimental(tree_instance: Any) -> None:	CODE
LOW	shap/explainers/_tree.py	880	def _get_shap_interactions_output(self, phi: npt.NDArray[Any], flat_output: bool) -> npt.NDArray[Any]:	CODE
LOW	shap/explainers/_tree.py	926	def supports_model_with_masker(model: Any, masker: Any) -> bool:	CODE
LOW	shap/explainers/_tree.py	1594	def _set_xgboost_model_attributes(	CODE
LOW	shap/explainers/_tree.py	2194	def get_xgboost_dmatrix_properties(model: Any) -> dict[str, Any]:	CODE
LOW	shap/explainers/other/_ubjson.py	167	def _decode_simple_key_value_pair(fp, key_type):	CODE
LOW	shap/explainers/_deep/deep_tf.py	397	def execute_with_overridden_gradients(self, f):	CODE
LOW	shap/explainers/_deep/deep_tf.py	696	def linearity_with_excluded_handler(input_inds, explainer, op, *grads):	CODE
LOW	shap/plots/_decision.py	35	def __decision_plot_matplotlib(	CODE
LOW	shap/plots/_text.py	1070	def process_text_to_text_shap_values(shap_values):	STRING
LOW	shap/plots/_text.py	1459	def unpack_shap_explanation_contents(shap_values):	STRING
LOW	shap/plots/_force_matplotlib.py	303	def draw_higher_lower_element(out_value, offset_text):	CODE
LOW	tests/conftest.py	87	def compare_numpy_outputs_against_baseline(*, func_file, baseline_dir=None, rtol=1e-4, atol=1e-6):	CODE
LOW	tests/test_explanation.py	67	def test_explanation_hstack_errors(random_seed):	CODE
LOW	tests/test_explanation.py	99	def test_feature_names_slicing_for_square_arrays(random_seed, N):	CODE
LOW	tests/test_explanation.py	130	def test_populating_op_history():	CODE
LOW	tests/test_explanation.py	164	def test_cohorts_invalid_input(inp):	CODE
LOW	tests/test_explanation.py	173	def test_cohorts_magic_methods(random_seed):	CODE
LOW	tests/test_explanation.py	211	def test_cohorts_magic_methods_errors():	CODE
LOW	tests/test_explanation.py	239	def test_cohorts_generation_with_one_feature():	CODE
LOW	tests/test_install.py	7	def test_importing_from_installed_package_not_local_files():	CODE
LOW	tests/maskers/test_composite.py	9	def test_composite_masker_init():	CODE
LOW	tests/maskers/test_composite.py	25	def test_composite_masker_with_fixed_maskers():	CODE
LOW	tests/maskers/test_composite.py	40	def test_composite_masker_shape_method():	CODE
LOW	tests/maskers/test_composite.py	54	def test_composite_masker_mask_shapes():	CODE
LOW	tests/maskers/test_composite.py	69	def test_composite_masker_data_transform():	CODE
LOW	tests/maskers/test_composite.py	85	def test_composite_masker_arg_count_mismatch():	CODE
LOW	tests/maskers/test_composite.py	101	def test_composite_masker_call_arg_count_mismatch():	CODE
LOW	tests/maskers/test_composite.py	114	def test_composite_masker_clustering():	CODE
LOW	tests/maskers/test_composite.py	125	def test_composite_masker_single_masker():	CODE
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Cross-Language Confusion22 hits · 135 pts

Severity	File	Line	Snippet	Context
HIGH⚡	shap/plots/_text.py	178	document._zoom_{uuid} = undefined;	CODE
HIGH⚡	shap/plots/_text.py	180	var next_id = undefined;	CODE
HIGH⚡	shap/plots/_text.py	182	if (document._zoom_{uuid} !== undefined) {{	CODE
HIGH	shap/plots/_text.py	202	if (document._zoom_{uuid} !== undefined) {{ return; }}	CODE
HIGH	shap/plots/_text.py	203	if (document._hover_{uuid} !== undefined) {{	CODE
HIGH	shap/plots/_text.py	1317	var {uuid}_heatmap_flat_state = null;	CODE
HIGH	shap/plots/_text.py	1320	if ({uuid}_heatmap_flat_state === null) {{	CODE
HIGH	shap/plots/_text.py	1338	if ({uuid}_heatmap_flat_state === null) {{	CODE
HIGH	shap/plots/_text.py	1362	{uuid}_heatmap_flat_state = null;	CODE
HIGH	shap/plots/_text.py	1365	if ({uuid}_heatmap_flat_state === null) {{	CODE
HIGH	shap/plots/_text.py	1448	if (id === null) {{	CODE
HIGH⚡	shap/plots/_image.py	331	var {uuid}_heatmap_flat_state = null;	CODE
HIGH⚡	shap/plots/_image.py	335	if ({uuid}_heatmap_flat_state === null) {{	CODE
HIGH⚡	shap/plots/_image.py	342	if ({uuid}_heatmap_flat_state === null) {{	CODE
HIGH⚡	shap/plots/_image.py	344	{uuid}_update_image_and_overlay(null);	CODE
HIGH⚡	shap/plots/_image.py	349	if ({uuid}_heatmap_flat_state === null) {{	CODE
HIGH⚡	shap/plots/_image.py	359	{uuid}_update_image_and_overlay(null);	CODE
HIGH⚡	shap/plots/_image.py	360	{uuid}_heatmap_flat_state = null;	CODE
HIGH	shap/plots/_image.py	389	if (selected_id == null) {{	CODE
HIGH	shap/plots/_image.py	402	if ({uuid}_heatmap_flat_state !== null ) {{	CODE
HIGH	shap/plots/_image.py	453	dragStart = null;	CODE
HIGH	shap/plots/_image.py	495	savedTransforms.push(xform.translate(0, 0));	CODE

Unused Imports133 hits · 130 pts

Severity	File	Line	Context
LOW	shap/datasets.py	1	CODE
LOW	shap/__init__.py	3	CODE
LOW	shap/__init__.py	3	CODE
LOW	shap/__init__.py	6	CODE
LOW	shap/__init__.py	7	CODE
LOW	shap/__init__.py	8	CODE
LOW	shap/__init__.py	9	CODE
LOW	shap/__init__.py	10	CODE
LOW	shap/__init__.py	11	CODE
LOW	shap/__init__.py	12	CODE
LOW	shap/__init__.py	13	CODE
LOW	shap/__init__.py	14	CODE
LOW	shap/__init__.py	15	CODE
LOW	shap/__init__.py	16	CODE
LOW	shap/__init__.py	17	CODE
LOW	shap/__init__.py	18	CODE
LOW	shap/__init__.py	19	CODE
LOW	shap/__init__.py	95	CODE
LOW	shap/__init__.py	95	CODE
LOW	shap/__init__.py	95	CODE
LOW	shap/__init__.py	96	CODE
LOW	shap/__init__.py	97	CODE
LOW	shap/__init__.py	97	CODE
LOW	shap/__init__.py	100	CODE
LOW	shap/__init__.py	46	CODE
LOW	shap/links.py	1	CODE
LOW	shap/_explanation.py	1	CODE
LOW	shap/benchmark/__init__.py	1	CODE
LOW	shap/benchmark/__init__.py	2	CODE
LOW	shap/benchmark/__init__.py	3	CODE
LOW	shap/benchmark/__init__.py	4	CODE
LOW	shap/maskers/_fixed.py	1	CODE
LOW	shap/maskers/_masker.py	1	CODE
LOW	shap/maskers/__init__.py	1	CODE
LOW	shap/maskers/__init__.py	2	CODE
LOW	shap/maskers/__init__.py	3	CODE
LOW	shap/maskers/__init__.py	4	CODE
LOW	shap/maskers/__init__.py	5	CODE
LOW	shap/maskers/__init__.py	6	CODE
LOW	shap/maskers/__init__.py	7	CODE
LOW	shap/maskers/__init__.py	7	CODE
LOW	shap/maskers/__init__.py	7	CODE
LOW	shap/maskers/__init__.py	8	CODE
LOW	shap/maskers/_composite.py	1	CODE
LOW	shap/utils/_types.py	1	CODE
LOW	shap/utils/_clustering.py	1	CODE
LOW	shap/utils/__init__.py	1	CODE
LOW	shap/utils/__init__.py	1	CODE
LOW	shap/utils/__init__.py	1	CODE
LOW	shap/utils/__init__.py	1	CODE
LOW	shap/utils/__init__.py	1	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
LOW	shap/utils/__init__.py	8	CODE
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Over-Commented Block93 hits · 92 pts

Severity	File	Line	Snippet	Context
LOW	pyproject.toml	141	# NOTE: numpy.typing.mypy_plugin is deprecated in NumPy 2.3+ and will be removed in a future release	COMMENT
LOW	shap/benchmark/plots.py	21		COMMENT
LOW	shap/benchmark/plots.py	41	# "keep_negative_mask": {	COMMENT
LOW	shap/benchmark/plots.py	61	# "xlabel": "Max fraction of features removed",	COMMENT
LOW	shap/benchmark/plots.py	81	# "sort_order": 9	COMMENT
LOW	shap/benchmark/plots.py	101	# "keep_absolute_resample__roc_auc": {	COMMENT
LOW	shap/benchmark/plots.py	121	# "xlabel": "Max fraction of features removed",	COMMENT
LOW	shap/benchmark/plots.py	141	# "sort_order": 12	COMMENT
LOW	shap/benchmark/plots.py	161	# "batch_keep_absolute__r2": {	COMMENT
LOW	shap/benchmark/plots.py	181	# },	COMMENT
LOW	shap/benchmark/plots.py	201	# "title": "Saabas"	COMMENT
LOW	shap/benchmark/plots.py	541	"<div style='float: left; font-weight: regular; font-size: 24px; color: #000;'>SHAP Benchmark <span style='font-	COMMENT
LOW	shap/benchmark/_sequential.py	21		COMMENT
LOW	shap/benchmark/_sequential.py	121	# if not hasattr(attributions[0], "__len__"):	COMMENT
LOW	shap/maskers/_text.py	261	# assert len(clustering)+1 == M	COMMENT
LOW	shap/utils/_masked_model.py	181		COMMENT
LOW	shap/cext/gpu_treeshap.h	21	#include <thrust/iterator/discard_iterator.h>	COMMENT
LOW	shap/cext/tree_shap.h	1	/**	COMMENT
LOW	shap/explainers/_partition.py	301	# f11 = fm(~m00.reshape(1,-1))[0]	COMMENT
LOW	shap/explainers/_partition.py	441	silent: bool,	COMMENT
LOW	shap/explainers/_partition.py	601	# #masks = np.zeros(2*len(inds)+1, dtype=int)	COMMENT
LOW	shap/explainers/_partition.py	621		COMMENT
LOW	shap/explainers/_partition.py	641		COMMENT
LOW	shap/explainers/_partition.py	661		COMMENT
LOW	shap/explainers/_partition.py	681	# continue	COMMENT
LOW	shap/explainers/_partition.py	701	# eval_count += len(batch_masks)	COMMENT
LOW	shap/explainers/_partition.py	721	# elif fixed_context == 0:	COMMENT
LOW	shap/explainers/_gradient.py	401	# regression model with priors of the coefficients equal to the estimated variances for each	COMMENT
LOW	shap/explainers/_kernel.py	741	etmp = np.transpose(np.transpose(self.maskMatrix[:, nonzero_inds[:-1]]) - self.maskMatrix[:, nonzero_inds[-1]])	COMMENT
LOW	shap/explainers/_additive.py	161	# data : numpy.array, pandas.DataFrame	COMMENT
LOW	shap/explainers/_additive.py	181	# self.data = data	COMMENT
LOW	shap/explainers/_additive.py	201	# X : numpy.array, pandas.DataFrame or scipy.csr_matrix	COMMENT
LOW	shap/explainers/_additive.py	221	# X = X.values	COMMENT
LOW	shap/explainers/pytree.py	21	# self.model_type = "xgboost"	COMMENT
LOW	shap/explainers/pytree.py	41		COMMENT
LOW	shap/explainers/pytree.py	61	# return phi[:, 0]	COMMENT
LOW	shap/explainers/pytree.py	81	# if self.model_type == "xgboost":	COMMENT
LOW	shap/explainers/pytree.py	101	# def __init__(self, children_left, children_right, children_default, feature, threshold, value, node_sample_weight)	COMMENT
LOW	shap/explainers/pytree.py	121	# if hasattr(tree, "missing_go_to_left"):	COMMENT
LOW	shap/explainers/pytree.py	321		COMMENT
LOW	shap/explainers/other/_ubjson.py	81	# [d][67.0]	COMMENT
LOW	shap/plots/_beeswarm.py	141	# out_names = shap_exp.output_names	COMMENT
LOW	shap/plots/_beeswarm.py	221	raise ValueError(emsg)	COMMENT
LOW	shap/plots/_beeswarm.py	241	# return beeswarm(	COMMENT
LOW	shap/plots/_beeswarm.py	261	# slow = -v	COMMENT
LOW	shap/plots/_beeswarm.py	281	# plt.subplot(1, max_display, i + 1)	COMMENT
LOW	shap/plots/colors/_colors.py	121	# blue_rgba = np.array([30, 136, 229, 255]) / 255	COMMENT
LOW	shap/plots/colors/_colorconv.py	1	### ------------ vendored from skimage.color.colorconv -------------	COMMENT
LOW	shap/plots/colors/_colorconv.py	21	# may be used to endorse or promote products derived from this software	COMMENT
LOW	tests/explainers/test_tree.py	1501		COMMENT
LOW	tests/explainers/test_tree.py	1761	# # train lightgbm ranker model	COMMENT
LOW	tests/plots/test_decision.py	121	# import lightgbm as lgb	COMMENT
LOW	tests/plots/test_decision.py	141	# "max_bin": 512,	COMMENT
LOW	tests/plots/test_decision.py	161	# shap_interaction_values = explainer.shap_interaction_values(features)	COMMENT
LOW	tests/plots/test_decision.py	181	# shap.decision_plot(base_value, shap_values[0, :])	COMMENT
LOW	tests/plots/test_decision.py	201	# # Now with feature names in the features argument as numpy.	COMMENT
LOW	tests/plots/test_decision.py	221	# highlight = y_label != (expit(predictions) > 0.5)	COMMENT
LOW	tests/plots/test_decision.py	241	# shap.decision_plot(alpha=0.2, **args1)	COMMENT
LOW	tests/plots/test_decision.py	261	# shap.decision_plot(**args2) # to compare with previous plot	COMMENT
LOW	tests/plots/test_decision.py	281	#	COMMENT
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Deep Nesting91 hits · 90 pts

Severity	File	Line	Context
LOW	shap/_explanation.py	966	CODE
LOW	shap/_explanation.py	108	CODE
LOW	shap/_explanation.py	317	CODE
LOW	shap/_serializable.py	70	CODE
LOW	shap/benchmark/_explanation_error.py	92	CODE
LOW	shap/benchmark/plots.py	386	CODE
LOW	shap/benchmark/plots.py	446	CODE
LOW	shap/benchmark/experiments.py	266	CODE
LOW	shap/benchmark/_sequential.py	88	CODE
LOW	shap/benchmark/_sequential.py	216	CODE
LOW	shap/maskers/_text.py	111	CODE
LOW	shap/maskers/_text.py	177	CODE
LOW	shap/maskers/_tabular.py	19	CODE
LOW	shap/maskers/_image.py	175	CODE
LOW	shap/maskers/_image.py	75	CODE
LOW	shap/utils/transformers.py	28	CODE
LOW	shap/utils/_clustering.py	78	CODE
LOW	shap/utils/_clustering.py	223	CODE
LOW	shap/utils/_masked_model.py	377	CODE
LOW	shap/utils/_masked_model.py	69	CODE
LOW	shap/utils/_general.py	45	CODE
LOW	shap/utils/_general.py	73	CODE
LOW	shap/utils/_general.py	121	CODE
LOW	shap/models/_topk_lm.py	203	CODE
LOW	shap/models/_text_generation.py	123	CODE
LOW	shap/models/_teacher_forcing.py	266	CODE
LOW	shap/models/_teacher_forcing.py	349	CODE
LOW	shap/actions/_optimizer.py	12	CODE
LOW	shap/actions/_optimizer.py	31	CODE
LOW	shap/explainers/_coalition.py	332	CODE
LOW	shap/explainers/_coalition.py	481	CODE
LOW	shap/explainers/_coalition.py	207	CODE
LOW	shap/explainers/_explainer.py	37	CODE
LOW	shap/explainers/_partition.py	754	CODE
LOW	shap/explainers/_partition.py	282	CODE
LOW	shap/explainers/_gradient.py	268	CODE
LOW	shap/explainers/_gradient.py	311	CODE
LOW	shap/explainers/_gradient.py	575	CODE
LOW	shap/explainers/_sampling.py	79	CODE
LOW	shap/explainers/_linear.py	495	CODE
LOW	shap/explainers/_linear.py	105	CODE
LOW	shap/explainers/_linear.py	330	CODE
LOW	shap/explainers/_linear.py	428	CODE
LOW	shap/explainers/_permutation.py	132	CODE
LOW	shap/explainers/_kernel.py	229	CODE
LOW	shap/explainers/_kernel.py	348	CODE
LOW	shap/explainers/_kernel.py	557	CODE
LOW	shap/explainers/_kernel.py	636	CODE
LOW	shap/explainers/_kernel.py	690	CODE
LOW	shap/explainers/_exact.py	245	CODE
LOW	shap/explainers/_exact.py	378	CODE
LOW	shap/explainers/_exact.py	399	CODE
LOW	shap/explainers/_exact.py	121	CODE
LOW	shap/explainers/_tree.py	139	CODE
LOW	shap/explainers/_tree.py	515	CODE
LOW	shap/explainers/_tree.py	975	CODE
LOW	shap/explainers/_tree.py	1636	CODE
LOW	shap/explainers/_tree.py	1818	CODE
LOW	shap/explainers/_tree.py	2493	CODE
LOW	shap/explainers/pytree.py	143	CODE
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Cross-File Repetition11 hits · 55 pts

Severity	File	Snippet	Context
HIGH	shap/explainers/_explainer.py	determines if this explainer can handle the given model. this is an abstract static method meant to be implemented by ea	STRING
HIGH	shap/explainers/_additive.py	determines if this explainer can handle the given model. this is an abstract static method meant to be implemented by ea	STRING
HIGH	shap/explainers/_tree.py	determines if this explainer can handle the given model. this is an abstract static method meant to be implemented by ea	STRING
HIGH	shap/explainers/_partition.py	explains a single row and returns the tuple (row_values, row_expected_values, row_mask_shapes).	STRING
HIGH	shap/explainers/_linear.py	explains a single row and returns the tuple (row_values, row_expected_values, row_mask_shapes).	STRING
HIGH	shap/explainers/_permutation.py	explains a single row and returns the tuple (row_values, row_expected_values, row_mask_shapes).	STRING
HIGH	shap/explainers/_additive.py	explains a single row and returns the tuple (row_values, row_expected_values, row_mask_shapes).	STRING
HIGH	shap/explainers/_exact.py	explains a single row and returns the tuple (row_values, row_expected_values, row_mask_shapes).	STRING
HIGH	tests/plots/test_beeswarm.py	checks that valueerror is raised if the features data matrix has an incompatible shape with the shap_values matrix.	STRING
HIGH	tests/plots/test_violin.py	checks that valueerror is raised if the features data matrix has an incompatible shape with the shap_values matrix.	STRING
HIGH	tests/plots/test_summary.py	checks that valueerror is raised if the features data matrix has an incompatible shape with the shap_values matrix.	STRING

Self-Referential Comments11 hits · 37 pts

Severity	File	Line	Snippet	Context
MEDIUM	shap/explainers/_coalition.py	331	# This function is to encode the dictionary to our specific structure	COMMENT
MEDIUM	shap/explainers/pytree.py	1	"""This module is a pure python implementation of Tree SHAP.	STRING
MEDIUM	tests/maskers/test_output_composite.py	128	# Create a custom masker that takes 2 arguments	COMMENT
MEDIUM	tests/maskers/test_output_composite.py	159	# Create a minimal masker without all optional attributes	COMMENT
MEDIUM	tests/explainers/test_tree.py	883	# Define an objective function for skopt to optimise.	COMMENT
MEDIUM	tests/explainers/test_tree.py	2026	# Create a SHAP TreeExplainer	COMMENT
MEDIUM⚡	tests/plots/test_force_js.py	48	# Create a simple model	COMMENT
MEDIUM⚡	tests/plots/test_force_js.py	53	# Create the explainer	COMMENT
MEDIUM⚡	tests/plots/test_force_js.py	63	# Create a simple model	COMMENT
MEDIUM⚡	tests/plots/test_force_js.py	68	# Create the explainer	COMMENT
MEDIUM	docs/conf.py	6	# This file is execfile()d with the current directory set to its	COMMENT

AI Slop Vocabulary15 hits · 34 pts

Severity	File	Line	Snippet	Context
LOW	shap/explainers/_linear.py	247	# if we still have some multi-collinearity present then we just add regularization...	COMMENT
LOW	shap/explainers/_exact.py	142	# if nothing varies then we can just return the expected value as the output and be done with it	COMMENT
LOW	shap/plots/_violin.py	326	# to ignore it, just set it to the previous y-values (so the area between them will be zero). Not ys	COMMENT
LOW	shap/plots/_beeswarm.py	1037	# to ignore it, just set it to the previous y-values (so the area between them will be zero). Not ys	COMMENT
MEDIUM⚡	shap/plots/resources/bundle.js	2	(()=>{var e,t,n={543(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__",l="_	CODE
MEDIUM⚡	shap/plots/resources/bundle.js	2	(()=>{var e,t,n={543(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__",l="_	CODE
MEDIUM⚡	docs/artwork/california_dataset.html	3	(()=>{var e={486:function(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__"	CODE
MEDIUM⚡	docs/artwork/california_dataset.html	3	(()=>{var e={486:function(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__"	CODE
MEDIUM⚡	docs/artwork/california_instance.html	3	(()=>{var e={486:function(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__"	CODE
MEDIUM⚡	docs/artwork/california_instance.html	3	(()=>{var e={486:function(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__"	CODE
MEDIUM⚡	…iner/Keras LSTM for IMDB Sentiment Classification.html	12004	function r(t,e){if(!o.canUseDOM\|\|e&&!("addEventListener"in document))return!1;var n="on"+t,r=n in document;if(!r){var a=	CODE
LOW⚡	…iner/Keras LSTM for IMDB Sentiment Classification.html	12004	function r(t,e){if(!o.canUseDOM\|\|e&&!("addEventListener"in document))return!1;var n="on"+t,r=n in document;if(!r){var a=	CODE
MEDIUM⚡	…iner/Keras LSTM for IMDB Sentiment Classification.html	12004	function r(t,e){if(!o.canUseDOM\|\|e&&!("addEventListener"in document))return!1;var n="on"+t,r=n in document;if(!r){var a=	CODE
LOW	…Intermediate Layer of VGG16 on ImageNet (PyTorch).html	11886	<h2 id="Explain-with-local-smoothing">Explain with local smoothing<a class="anchor-link" href="#Explain-with-local-smoot	CODE
MEDIUM	javascript/package-lock.json	8528	"resolved": "https://registry.npmjs.org/robust-predicates/-/robust-predicates-3.0.2.tgz",	CODE

Excessive Try-Catch Wrapping31 hits · 32 pts

Severity	File	Line	Snippet	Context
LOW	shap/_explanation.py	524	except Exception:	CODE
LOW	shap/benchmark/metrics.py	13	except Exception:	CODE
LOW	shap/benchmark/metrics.py	18	except Exception:	CODE
LOW	shap/maskers/_text.py	53	except Exception:	CODE
LOW	shap/utils/_legacy.py	143	except Exception:	CODE
LOW	shap/explainers/_explainer.py	344	except Exception:	CODE
LOW	shap/explainers/_gradient.py	80	except Exception:	CODE
LOW	shap/explainers/_gradient.py	86	except Exception:	CODE
LOW	shap/explainers/_gradient.py	217	except Exception:	CODE
LOW	shap/explainers/_linear.py	362	except Exception:	CODE
LOW	shap/explainers/tf_utils.py	32	except Exception:	CODE
LOW	shap/explainers/_tree.py	936	except Exception:	CODE
LOW	shap/explainers/_tree.py	1391	except Exception:	CODE
LOW	shap/explainers/_tree.py	1404	except Exception:	CODE
LOW	shap/explainers/_tree.py	1417	except Exception:	CODE
LOW	shap/explainers/_tree.py	1431	except Exception:	CODE
LOW	shap/explainers/_tree.py	1444	except Exception:	CODE
LOW	shap/explainers/_tree.py	1459	except Exception:	CODE
LOW	shap/explainers/_tree.py	1469	except Exception:	CODE
LOW	shap/explainers/_deep/__init__.py	77	except Exception:	CODE
LOW	shap/explainers/_deep/__init__.py	83	except Exception:	CODE
LOW	shap/plots/_beeswarm.py	393	except Exception:	CODE
LOW	shap/plots/_beeswarm.py	805	except Exception:	CODE
LOW	shap/plots/_bar.py	322	except Exception:	CODE
LOW	tests/datasets_to_cache.py	66	except Exception as e:	CODE
LOW	tests/datasets_to_cache.py	77	except Exception as e:	CODE
LOW	tests/explainers/test_tree.py	233	except Exception:	CODE
LOW	tests/explainers/test_tree.py	289	except Exception:	CODE
LOW	tests/explainers/test_deep.py	215	except Exception:	CODE
LOW⚡	tests/plots/test_force_js.py	35	except Exception:	CODE
LOW⚡	tests/plots/test_force_js.py	38	except Exception:	CODE

Hallucination Indicators3 hits · 30 pts

Severity	File	Line	Snippet	Context
CRITICAL	shap/explainers/tf_utils.py	31	session = tf.compat.v1.keras.backend.get_session()	CODE
CRITICAL	tests/explainers/test_deep.py	235	sess = tf.compat.v1.keras.backend.get_session()	CODE
CRITICAL	…/user_studies/sickness_scores/static/lib/jquery-min.js	5	}({});var B=/(?:\{[\s\S]\}\|\[[\s\S]\])$/,P=/([A-Z])/g;function R(e,n,r,i){if(x.acceptData(e)){var o,a,s=x.expando,l=e.	CODE

Decorative Section Separators8 hits · 24 pts

Severity	File	Line	Snippet	Context
MEDIUM	CMakeLists.txt	28	# ==============================================================================	COMMENT
MEDIUM	CMakeLists.txt	30	# ==============================================================================	COMMENT
MEDIUM	CMakeLists.txt	73	# ==============================================================================	COMMENT
MEDIUM	CMakeLists.txt	75	# ==============================================================================	COMMENT
MEDIUM	CMakeLists.txt	105	# ==============================================================================	COMMENT
MEDIUM	CMakeLists.txt	108	# ==============================================================================	COMMENT
MEDIUM	shap/explainers/_additive.py	157	# ----------	COMMENT
MEDIUM	shap/explainers/_additive.py	200	# ----------	COMMENT

AI Structural Patterns15 hits · 15 pts

Severity	File	Line	Context
LOW	shap/_explanation.py	108	CODE
LOW	shap/models/_model.py	29	CODE
LOW	shap/explainers/_deep/deep_tf.py	395	CODE
LOW	shap/plots/_heatmap.py	11	CODE
LOW	shap/plots/_partial_dependence.py	31	CODE
LOW	shap/plots/_violin.py	25	CODE
LOW	shap/plots/_decision.py	212	CODE
LOW	shap/plots/_force.py	30	CODE
LOW	shap/plots/_force.py	384	CODE
LOW	shap/plots/_group_difference.py	7	CODE
LOW	shap/plots/_beeswarm.py	40	CODE
LOW	shap/plots/_beeswarm.py	521	CODE
LOW	shap/plots/_image.py	27	CODE
LOW	shap/plots/_scatter.py	23	CODE
LOW	shap/plots/_scatter.py	517	CODE

Modern Structural Boilerplate12 hits · 12 pts

Severity	File	Line	Snippet	Context
LOW	shap/__init__.py	103	__all__ = [	CODE
LOW	shap/benchmark/__init__.py	9	__all__ = ["ComputeTime", "ExplanationError", "BenchmarkResult", "SequentialMasker"]	CODE
LOW	shap/maskers/__init__.py	10	__all__ = [	CODE
LOW	shap/utils/__init__.py	25	__all__ = [	CODE
LOW	shap/models/__init__.py	7	__all__ = [	CODE
LOW	shap/actions/__init__.py	3	__all__ = ["Action"]	CODE
LOW	shap/explainers/__init__.py	28	__all__ = [	CODE
LOW	shap/explainers/other/__init__.py	7	__all__ = [	CODE
LOW	shap/plots/_style.py	96	def set_style(_style: StyleConfig \| None = None, /, **options: Unpack[StyleOptions]) -> None:	CODE
LOW	shap/plots/__init__.py	24	__all__ = [	CODE
LOW	shap/plots/colors/__init__.py	17	__all__ = [	CODE
LOW	tests/plots/test_image.py	8	def set_reproducible_mpl_rcparams() -> None:	CODE

Verbosity Indicators5 hits · 9 pts

Severity	File	Line	Snippet	Context
LOW	shap/explainers/_coalition.py	242	# Step 1: build the hierarchy	COMMENT
LOW	shap/explainers/_coalition.py	259	# Step 2: Compute model results for all unique masks	COMMENT
LOW⚡	shap/explainers/_coalition.py	270	# Step 3: Compute marginals for permutations	COMMENT
LOW⚡	shap/explainers/_coalition.py	277	# Step 4: Implement Owen values weighting	COMMENT
LOW	shap/explainers/_coalition.py	298	# Step 5: Return results	COMMENT

Structural Annotation Overuse5 hits · 9 pts

Severity	File	Line	Snippet	Context
LOW	shap/explainers/_coalition.py	242	# Step 1: build the hierarchy	COMMENT
LOW	shap/explainers/_coalition.py	259	# Step 2: Compute model results for all unique masks	COMMENT
LOW⚡	shap/explainers/_coalition.py	270	# Step 3: Compute marginals for permutations	COMMENT
LOW⚡	shap/explainers/_coalition.py	277	# Step 4: Implement Owen values weighting	COMMENT
LOW	shap/explainers/_coalition.py	298	# Step 5: Return results	COMMENT

Fake / Example Data6 hits · 8 pts

Severity	File	Line	Snippet	Context
LOW⚡	shap/plots/resources/bundle.js	2	(()=>{var e,t,n={543(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__",l="_	CODE
LOW⚡	docs/artwork/california_dataset.html	3	(()=>{var e={486:function(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__"	CODE
LOW⚡	docs/artwork/california_instance.html	3	(()=>{var e={486:function(e,t,n){var r;e=n.nmd(e),function(){var a,i="Expected a function",o="__lodash_hash_undefined__"	CODE
LOW	…notebooks/Census income classification with Keras.html	11831	"ø":"o","Ù":"U","Ú":"U","Û":"U","Ü":"U","ù":"u","ú":"u","û":"u","ü":"u","Ý":"Y","ý":"y","ÿ":"y","Æ":"Ae","æ":"ae","Þ":"T	CODE
LOW	…s/notebooks/Iris classification with scikit-learn.html	11837	"ø":"o","Ù":"U","Ú":"U","Û":"U","Ü":"U","ù":"u","ú":"u","û":"u","ü":"u","Ý":"Y","ý":"y","ÿ":"y","Æ":"Ae","æ":"ae","Þ":"T	CODE
LOW	…iner/Keras LSTM for IMDB Sentiment Classification.html	11990	var i=Object.getOwnPropertySymbols,o=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable;t.exports=f	CODE

Redundant / Tautological Comments4 hits · 6 pts

Severity	File	Line	Snippet	Context
LOW	shap/utils/image.py	39	# Check if empty or not	COMMENT
LOW	.github/workflows/run_tests.yml	113	# Set DYLD_LIBRARY_PATH to avoid OpenMP conflicts, see https://github.com/unit8co/darts/pull/3050	COMMENT
LOW	.github/workflows/build_wheels.yml	73	# Set DYLD_LIBRARY_PATH to avoid OpenMP conflicts, see https://github.com/unit8co/darts/pull/3050	COMMENT
LOW	.github/workflows/test_js.yml	32	# Check if the built bundle matches the committed bundle (ignoring whitespace)	COMMENT

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings