meta-pytorch/captum

22.1

Adjusted Score

22.1

Raw Score

100%

Time Factor

2026-07-31

Last Push

5.7K

Stars

Python

Language

77.4K

Lines of Code

288

Files

1.3K

Pattern Hits

2026-08-02

Scan Date

0.39

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

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

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 11HIGH 102MEDIUM 9LOW 1142

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 1264 distinct pattern matches across 18 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 Identifiers851 hits · 795 pts

Severity	File	Line	Snippet	Context
LOW	tests/test_tutorial_regressions.py	24	def test_titanic_tutorial_models_return_logits_for_cross_entropy_loss() -> None:	CODE
LOW	tests/test_insights_retired.py	16	def test_import_insights_module(self) -> None:	CODE
LOW	tests/test_insights_retired.py	22	def test_attribution_visualizer_raises(self) -> None:	CODE
LOW	tests/test_insights_retired.py	51	def test_error_message_includes_migration_guidance(self) -> None:	CODE
LOW	tests/metrics/test_sensitivity.py	72	def test_basic_sensitivity_max_single(self) -> None:	CODE
LOW	tests/metrics/test_sensitivity.py	85	def test_basic_sensitivity_max_multiple(self) -> None:	CODE
LOW	tests/metrics/test_sensitivity.py	98	def test_basic_sensitivity_max_multiple_gradshap(self) -> None:	CODE
LOW	tests/metrics/test_sensitivity.py	124	def test_convnet_multi_target(self) -> None:	CODE
LOW	tests/metrics/test_sensitivity.py	143	def test_convnet_multi_target_and_default_pert_func(self) -> None:	STRING
LOW	tests/metrics/test_sensitivity.py	174	def test_sensitivity_max_multi_dim(self) -> None:	STRING
LOW	tests/metrics/test_sensitivity.py	194	def test_sensitivity_max_multi_dim_batching(self) -> None:	STRING
LOW	tests/metrics/test_sensitivity.py	226	def test_sensitivity_additional_forward_args_multi_args(self) -> None:	STRING
LOW	tests/metrics/test_sensitivity.py	256	def test_classification_sensitivity_tpl_target_w_baseline(self) -> None:	STRING
LOW	tests/metrics/test_sensitivity.py	287	def test_sensitivity_max_with_feature_mask(self) -> None:	STRING
LOW	tests/metrics/test_infidelity.py	36	def _local_perturb_func_default(	CODE
LOW	tests/metrics/test_infidelity.py	121	def test_basic_infidelity_single(self) -> None:	CODE
LOW	tests/metrics/test_infidelity.py	129	def test_basic_infidelity_multiple(self) -> None:	CODE
LOW	tests/metrics/test_infidelity.py	145	def test_basic_infidelity_multiple_with_batching(self) -> None:	CODE
LOW	tests/metrics/test_infidelity.py	210	def test_classification_infidelity_convnet_multi_targets(self) -> None:	CODE
LOW	tests/metrics/test_infidelity.py	228	def test_classification_infidelity_tpl_target(self) -> None:	CODE
LOW	tests/metrics/test_infidelity.py	261	def test_classification_infidelity_tpl_target_w_baseline(self) -> None:	CODE
LOW	tests/metrics/test_infidelity.py	313	def test_basic_infidelity_multiple_with_normalize(self) -> None:	CODE
LOW	tests/metrics/test_infidelity.py	346	def basic_multilayer_sensitivity_n(	CODE
LOW	tests/metrics/test_infidelity.py	455	def basic_model_global_assert(	CODE
LOW	tests/robust/test_attack_comparator.py	74	def test_attack_comparator_basic(self) -> None:	CODE
LOW	tests/robust/test_attack_comparator.py	125	def test_attack_comparator_with_preproc(self) -> None:	CODE
LOW	tests/robust/test_attack_comparator.py	165	def test_attack_comparator_with_additional_args(self) -> None:	CODE
LOW	tests/robust/test_FGSM.py	91	def test_attack_label_listtuple(self) -> None:	CODE
LOW	tests/robust/test_FGSM.py	105	def test_attack_additional_inputs(self) -> None:	CODE
LOW	tests/robust/test_FGSM.py	144	def test_attack_masked_tensor(self) -> None:	CODE
LOW	tests/robust/test_FGSM.py	152	def test_attack_masked_multiinput(self) -> None:	CODE
LOW	tests/robust/test_FGSM.py	167	def test_attack_masked_loss_defined(self) -> None:	CODE
LOW	tests/robust/test_min_param_perturbation.py	51	def test_minimal_pert_basic_linear(self) -> None:	CODE
LOW	tests/robust/test_min_param_perturbation.py	71	def test_minimal_pert_basic_binary(self) -> None:	CODE
LOW	tests/robust/test_min_param_perturbation.py	95	def test_minimal_pert_preproc(self) -> None:	CODE
LOW	tests/robust/test_min_param_perturbation.py	114	def test_minimal_pert_alt_correct(self) -> None:	CODE
LOW	tests/robust/test_min_param_perturbation.py	150	def test_minimal_pert_additional_forward_args(self) -> None:	CODE
LOW	tests/robust/test_min_param_perturbation.py	190	def test_minimal_pert_tuple_test(self) -> None:	CODE
LOW	tests/robust/test_PGD.py	125	def test_attack_masked_nontargeted(self) -> None:	CODE
LOW	tests/robust/test_PGD.py	139	def test_attack_masked_targeted(self) -> None:	CODE
LOW	tests/robust/test_PGD.py	153	def test_attack_masked_multiinput(self) -> None:	CODE
LOW	tests/robust/test_PGD.py	173	def test_attack_masked_random_start(self) -> None:	CODE
LOW	tests/robust/test_PGD.py	210	def test_attack_masked_loss_defined(self) -> None:	CODE
LOW	tests/influence/_utils/test_common.py	21	def test_jacobian_loss_wrt_inputs(self) -> None:	CODE
LOW	tests/influence/_core/test_tracin_k_most_influential.py	90	def test_tracin_k_most_influential(	CODE
LOW	…sts/influence/_core/test_tracin_aggregate_influence.py	41	def test_tracin_aggregate_influence(	CODE
LOW	…sts/influence/_core/test_tracin_aggregate_influence.py	102	def test_tracin_aggregate_influence_api(	CODE
LOW	tests/influence/_core/test_tracin_self_influence.py	162	def test_tracin_self_influence(	CODE
LOW	tests/influence/_core/test_tracin_self_influence.py	251	def test_tracin_self_influence_dataloader_vs_single_batch(	CODE
LOW	tests/influence/_core/test_tracin_validation.py	43	def test_tracin_require_inputs_dataset(	CODE
LOW	tests/influence/_core/test_tracin_validation.py	73	def test_tracincp_fast_rand_proj_inputs(self) -> None:	CODE
LOW	tests/influence/_core/test_tracin_validation.py	103	def test_tracincp_input_checkpoints(	CODE
LOW	tests/influence/_core/test_tracin_regression.py	38	def _test_tracin_regression_setup(	CODE
LOW	tests/influence/_core/test_tracin_regression.py	342	def _test_tracin_identity_regression_setup(	STRING
LOW	tests/influence/_core/test_tracin_regression.py	388	def test_tracin_identity_regression(	STRING
LOW	tests/influence/_core/test_tracin_regression.py	499	def test_tracin_constant_test_loss_fn(	STRING
LOW	tests/influence/_core/test_tracin_show_progress.py	39	def _check_error_msg_multiplicity(	CODE
LOW	tests/influence/_core/test_tracin_show_progress.py	111	def test_tracin_show_progress(	CODE
LOW	…influence/_core/test_tracin_intermediate_quantities.py	45	def test_tracin_intermediate_quantities_aggregate(	CODE
LOW	…influence/_core/test_tracin_intermediate_quantities.py	106	def test_tracin_intermediate_quantities_api(	CODE
791 more matches not shown…

Docstring Block Structure51 hits · 255 pts

Severity	File	Line	Snippet	Context
HIGH	captum/metrics/_core/infidelity.py	72	Args: perturb_func(Callable): Input perturbation function that takes inputs and op	STRING
HIGH	captum/metrics/_core/infidelity.py	161	Explanation infidelity represents the expected mean-squared error between the explanation multiplied by a meani	STRING
HIGH	captum/metrics/_core/sensitivity.py	80	Explanation sensitivity measures the extent of explanation change when the input is slightly perturbed. It has	STRING
HIGH	captum/robust/_core/metrics/attack_comparator.py	270	Evaluate model and attack performance on provided inputs Args: inputs (Any): Input for wh	STRING
HIGH	captum/robust/_core/metrics/min_param_perturbation.py	385	This method evaluates the model at each perturbed input and identifies the minimum perturbation that le	STRING
HIGH	captum/attr/_utils/visualization.py	447	Visualizes attribution for a given image by normalizing attribution values of the desired sign (positive, negat	STRING
HIGH	captum/attr/_utils/visualization.py	667	Visualizes attribution using multiple visualization methods displayed in a 1 x k grid, where k is the number of	STRING
HIGH	captum/attr/_utils/visualization.py	913	Visualizes attribution for a given timeseries data by normalizing attribution values of the desired sign (posit	STRING
HIGH	captum/attr/_core/feature_ablation.py	307	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which ablation attri	STRING
HIGH	captum/attr/_core/feature_permutation.py	121	This function is almost equivalent to :func:`FeatureAblation.attribute <captum.attr.FeatureAblation.att	STRING
HIGH	captum/attr/_core/occlusion.py	69	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which occlusion	STRING
HIGH	captum/attr/_core/gradient_shap.py	135	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which SHAP attribution	STRING
HIGH	captum/attr/_core/lime.py	258	This method attributes the output of the model with given target index (in case it is provided, otherwi	STRING
HIGH	captum/attr/_core/lime.py	944	This method attributes the output of the model with given target index (in case it is provided, otherwi	STRING
HIGH	captum/attr/_core/noise_tunnel.py	103	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which integrated gr	STRING
HIGH	captum/attr/_core/guided_backprop_deconvnet.py	156	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/guided_backprop_deconvnet.py	265	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/lrp.py	110	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which relevance is	STRING
HIGH	captum/attr/_core/guided_grad_cam.py	84	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/shapley_value.py	142	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which Shapley value	STRING
HIGH	captum/attr/_core/shapley_value.py	1068	NOTE: The feature_mask argument differs from other perturbation based methods, since feature indices ca	STRING
HIGH	captum/attr/_core/deep_lift.py	1071	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/deep_lift.py	1564	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/remote_provider.py	124	Generate text using the vLLM API. Args: prompt: The input prompt for text generation	STRING
HIGH	captum/attr/_core/remote_provider.py	171	Get the log probabilities for all tokens in the target string. Args: input_prompt: The inp	STRING
HIGH	captum/attr/_core/saliency.py	51	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which saliency is c	STRING
HIGH	captum/attr/_core/kernel_shap.py	72	This method attributes the output of the model with given target index (in case it is provided, otherwi	STRING
HIGH	captum/attr/_core/kernel_shap.py	442	This method attributes the output of the model with given target index (in case it is provided, otherwi	STRING
HIGH	captum/attr/_core/input_x_gradient.py	45	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/integrated_gradients.py	124	This method attributes the output of the model with given target index (in case it is provided, otherwi	STRING
HIGH	captum/attr/_core/neuron/neuron_gradient.py	76	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which neuron gradie	STRING
HIGH	…/attr/_core/neuron/neuron_guided_backprop_deconvnet.py	77	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	…/attr/_core/neuron/neuron_guided_backprop_deconvnet.py	235	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/neuron/neuron_feature_ablation.py	83	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which neuron attrib	STRING
HIGH	captum/attr/_core/neuron/neuron_gradient_shap.py	118	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which SHAP attribution	STRING
HIGH	captum/attr/_core/neuron/neuron_deep_lift.py	101	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which layer attribu	STRING
HIGH	captum/attr/_core/neuron/neuron_deep_lift.py	336	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which layer attribu	STRING
HIGH	captum/attr/_core/neuron/neuron_integrated_gradients.py	95	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which neuron integrated	STRING
HIGH	captum/attr/_core/neuron/neuron_conductance.py	120	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which neuron conduc	STRING
HIGH	captum/attr/_core/layer/internal_influence.py	86	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which internal infl	STRING
HIGH	captum/attr/_core/layer/layer_lrp.py	127	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which relevance is	STRING
HIGH	captum/attr/_core/layer/layer_activation.py	61	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which layer activat	STRING
HIGH	captum/attr/_core/layer/layer_conductance.py	130	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which layer conduct	STRING
HIGH	captum/attr/_core/layer/grad_cam.py	95	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/layer/layer_gradient_x_activation.py	94	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which attributions	STRING
HIGH	captum/attr/_core/layer/layer_gradient_shap.py	159	Args: inputs (Tensor or tuple[Tensor, ...]): Input which are used to compute	STRING
HIGH	captum/attr/_core/layer/layer_feature_ablation.py	82	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which layer attribu	STRING
HIGH	captum/attr/_core/layer/layer_integrated_gradients.py	340	This method attributes the output of the model with given target index (in case it is provided, otherwi	STRING
HIGH	captum/attr/_core/layer/layer_deep_lift.py	146	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which layer attribu	STRING
HIGH	captum/attr/_core/layer/layer_deep_lift.py	488	Args: inputs (Tensor or tuple[Tensor, ...]): Input for which layer attribu	STRING
HIGH	captum/attr/_models/base.py	163	This method wraps a model's embedding layer with an interpretable embedding layer that allows us to access the	STRING

Cross-File Repetition39 hits · 195 pts

Severity	File	Snippet	Context
HIGH	tests/attr/test_targets.py	tests in this file are dynamically generated based on the config defined in captum/testing/attr/helpers/test_config.py.	STRING
HIGH	tests/attr/test_data_parallel.py	tests in this file are dynamically generated based on the config defined in captum/testing/attr/helpers/test_config.py.	STRING
HIGH	tests/attr/test_jit.py	tests in this file are dynamically generated based on the config defined in captum/testing/attr/helpers/test_config.py.	STRING
HIGH	tests/attr/test_hook_removal.py	tests in this file are dynamically generated based on the config defined in captum/testing/attr/helpers/test_config.py.	STRING
HIGH	captum/influence/_core/influence_function.py	args: inputs (tuple): `inputs` is the test batch and is a tuple of any, where the last element is assumed to be the labe	STRING
HIGH	captum/influence/_core/arnoldi_influence_function.py	args: inputs (tuple): `inputs` is the test batch and is a tuple of any, where the last element is assumed to be the labe	STRING
HIGH	captum/influence/_core/tracincp.py	args: inputs (tuple): `inputs` is the test batch and is a tuple of any, where the last element is assumed to be the labe	STRING
HIGH	captum/influence/_core/tracincp_fast_rand_proj.py	args: inputs (tuple): `inputs` is the test batch and is a tuple of any, where the last element is assumed to be the labe	STRING
HIGH	captum/influence/_core/influence_function.py	this is the key method of this class, and can be run in 2 different modes, where the mode that is run depends on the arg	STRING
HIGH	captum/influence/_core/arnoldi_influence_function.py	this is the key method of this class, and can be run in 2 different modes, where the mode that is run depends on the arg	STRING
HIGH	captum/influence/_core/tracincp.py	this is the key method of this class, and can be run in 2 different modes, where the mode that is run depends on the arg	STRING
HIGH	captum/influence/_core/tracincp_fast_rand_proj.py	this is the key method of this class, and can be run in 2 different modes, where the mode that is run depends on the arg	STRING
HIGH	captum/influence/_core/influence_function.py	args: inputs (tuple): `inputs` is the test batch and is a tuple of any, where the last element is assumed to be the labe	STRING
HIGH	captum/influence/_core/arnoldi_influence_function.py	args: inputs (tuple): `inputs` is the test batch and is a tuple of any, where the last element is assumed to be the labe	STRING
HIGH	captum/influence/_core/tracincp.py	args: inputs (tuple): `inputs` is the test batch and is a tuple of any, where the last element is assumed to be the labe	STRING
HIGH	captum/attr/_core/feature_ablation.py	args: forward_func (callable): the forward function of the model or any modification of it.	STRING
HIGH	captum/attr/_core/occlusion.py	args: forward_func (callable): the forward function of the model or any modification of it.	STRING
HIGH	captum/attr/_core/saliency.py	args: forward_func (callable): the forward function of the model or any modification of it.	STRING
HIGH	captum/attr/_core/kernel_shap.py	args: forward_func (callable): the forward function of the model or any modification of it.	STRING
HIGH	captum/attr/_core/guided_backprop_deconvnet.py	args: inputs (tensor or tuple[tensor, ...]): input for which attributions are computed. if forward_func takes a single t	STRING
HIGH	captum/attr/_core/saliency.py	args: inputs (tensor or tuple[tensor, ...]): input for which attributions are computed. if forward_func takes a single t	STRING
HIGH	captum/attr/_core/input_x_gradient.py	args: inputs (tensor or tuple[tensor, ...]): input for which attributions are computed. if forward_func takes a single t	STRING
HIGH	captum/attr/_core/deep_lift.py	implements deeplift algorithm for the layer based on the following paper: learning important features through propagatin	STRING
HIGH	captum/attr/_core/neuron/neuron_deep_lift.py	implements deeplift algorithm for the layer based on the following paper: learning important features through propagatin	STRING
HIGH	captum/attr/_core/layer/layer_deep_lift.py	implements deeplift algorithm for the layer based on the following paper: learning important features through propagatin	STRING
HIGH	captum/attr/_core/neuron/neuron_gradient.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	…/attr/_core/neuron/neuron_guided_backprop_deconvnet.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/layer/internal_influence.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/layer/layer_conductance.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/layer/layer_activation.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/layer/layer_feature_permutation.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/layer/layer_feature_ablation.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/neuron/neuron_gradient_shap.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/neuron/neuron_integrated_gradients.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/neuron/neuron_conductance.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/layer/layer_gradient_shap.py	args: forward_func (callable): the forward function of the model or any modification of it layer (torch.nn.module): laye	STRING
HIGH	captum/attr/_core/layer/internal_influence.py	this method attributes the output of the model with given target index (in case it is provided, otherwise it assumes tha	STRING
HIGH	captum/attr/_core/layer/layer_conductance.py	this method attributes the output of the model with given target index (in case it is provided, otherwise it assumes tha	STRING
HIGH	captum/attr/_core/layer/layer_integrated_gradients.py	this method attributes the output of the model with given target index (in case it is provided, otherwise it assumes tha	STRING

Hallucination Indicators11 hits · 145 pts

Severity	File	Line	Snippet	Context
CRITICAL	tests/influence/_core/test_dataloader.py	45	# captum.testing.helpers.influence.common.DataInfluenceConstructor(captum.influence._core.	COMMENT
CRITICAL	tests/influence/_core/test_dataloader.py	47	# captum.testing.helpers.influence.common.DataInfluenceConstructor(	COMMENT
CRITICAL	tests/influence/_core/test_tracin_k_most_influential.py	84	# `captum.testing.helpers.influence.common.build_test_name_func()`	COMMENT
CRITICAL	tests/influence/_core/test_tracin_xor.py	234	# `captum.testing.helpers.influence.common.build_test_name_func($parameter$args_to_skip	COMMENT
CRITICAL	tests/influence/_core/test_tracin_regression.py	267	# `captum.testing.helpers.influence.common.build_test_name_func()`	COMMENT
CRITICAL	tests/influence/_core/test_tracin_regression.py	359	# `captum.testing.helpers.influence.common.build_test_name_func()`	STRING
CRITICAL	tests/influence/_core/test_tracin_regression.py	474	# `captum.testing.helpers.influence.common.build_test_name_func()`	STRING
CRITICAL⚡	tests/attr/test_llm_attr.py	175	self.trans.self_attn.in_proj_bias.data.fill_(0.0)	CODE
CRITICAL⚡	tests/attr/test_llm_attr.py	179	self.trans.self_attn.out_proj.bias.data.fill_(0.0)	CODE
CRITICAL⚡	tests/attr/test_llm_attr.py	182	self.trans.linear1.bias.data.fill_(0.0)	CODE
CRITICAL⚡	tests/attr/test_llm_attr.py	185	self.trans.linear2.bias.data.fill_(0.0)	CODE

Unused Imports166 hits · 136 pts

Severity	File	Line	Context
LOW	tests/test_insights_retired.py	10	CODE
LOW	tests/utils/test_progress.py	35	CODE
LOW	tests/utils/test_progress.py	53	CODE
LOW	tests/attr/test_jit.py	10	CODE
LOW	tests/attr/test_deconvolution.py	10	CODE
LOW	tests/attr/neuron/test_neuron_deeplift.py	10	CODE
LOW	tests/attr/models/test_base.py	10	CODE
LOW	tests/attr/layer/test_layer_deeplift.py	10	CODE
LOW	tests/concept/test_tcav.py	1255	CODE
LOW	captum/__init__.py	4	CODE
LOW	captum/__init__.py	5	CODE
LOW	captum/__init__.py	6	CODE
LOW	captum/__init__.py	7	CODE
LOW	captum/__init__.py	8	CODE
LOW	captum/__init__.py	9	CODE
LOW	captum/metrics/__init__.py	5	CODE
LOW	captum/metrics/__init__.py	5	CODE
LOW	captum/metrics/__init__.py	9	CODE
LOW	captum/_utils/models/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/_utils/models/linear_model/__init__.py	2	CODE
LOW	captum/insights/__init__.py	27	CODE
LOW	captum/robust/__init__.py	5	CODE
LOW	captum/robust/__init__.py	6	CODE
LOW	captum/robust/__init__.py	7	CODE
LOW	captum/robust/__init__.py	8	CODE
LOW	captum/robust/__init__.py	9	CODE
LOW	captum/influence/__init__.py	5	CODE
LOW	captum/influence/__init__.py	6	CODE
LOW	captum/influence/__init__.py	7	CODE
LOW	captum/influence/__init__.py	8	CODE
LOW	captum/influence/__init__.py	8	CODE
LOW	captum/influence/__init__.py	9	CODE
LOW	captum/influence/__init__.py	9	CODE
LOW	captum/influence/_utils/common.py	38	CODE
LOW	captum/influence/_utils/common.py	38	CODE
LOW	captum/influence/_utils/common.py	42	CODE
LOW	captum/influence/_utils/common.py	42	CODE
LOW	captum/module/__init__.py	2	CODE
LOW	captum/module/__init__.py	3	CODE
LOW	captum/module/__init__.py	4	CODE
LOW	captum/testing/helpers/__init__.py	6	CODE
LOW	captum/testing/helpers/__init__.py	14	CODE
LOW	captum/testing/helpers/influence/common.py	649	CODE
LOW	captum/attr/__init__.py	4	CODE
LOW	captum/attr/__init__.py	5	CODE
LOW	captum/attr/__init__.py	5	CODE
LOW	captum/attr/__init__.py	6	CODE
LOW	captum/attr/__init__.py	7	CODE
LOW	captum/attr/__init__.py	8	CODE
LOW	captum/attr/__init__.py	9	CODE
LOW	captum/attr/__init__.py	9	CODE
LOW	captum/attr/__init__.py	10	CODE
106 more matches not shown…

Deep Nesting51 hits · 51 pts

Severity	File	Line	Context
LOW	tests/influence/_core/test_tracin_show_progress.py	111	CODE
LOW	tests/influence/_core/test_arnoldi_influence.py	129	CODE
LOW	tests/influence/_core/test_arnoldi_influence.py	436	CODE
LOW	tests/utils/test_sample_gradient.py	100	CODE
LOW	tests/attr/test_targets.py	106	CODE
LOW	tests/attr/test_targets.py	142	CODE
LOW	tests/attr/test_hook_removal.py	71	CODE
LOW	tests/attr/test_data_parallel.py	211	CODE
LOW	tests/attr/test_data_parallel.py	71	CODE
LOW	tests/attr/test_jit.py	90	CODE
LOW	tests/attr/test_jit.py	134	CODE
LOW	tests/attr/test_jit.py	147	CODE
LOW	tests/attr/test_feature_ablation.py	850	CODE
LOW	tests/attr/neuron/test_neuron_conductance.py	199	CODE
LOW	tests/attr/neuron/test_neuron_conductance.py	250	CODE
LOW	tests/concept/test_tcav.py	787	CODE
LOW	tests/concept/test_tcav.py	915	CODE
LOW	scripts/parse_tutorials.py	43	CODE
LOW	scripts/parse_sphinx.py	42	CODE
LOW	captum/_utils/gradient.py	44	CODE
LOW	captum/_utils/gradient.py	263	CODE
LOW	captum/_utils/gradient.py	955	CODE
LOW	captum/_utils/gradient.py	300	CODE
LOW	captum/_utils/gradient.py	305	CODE
LOW	captum/_utils/common.py	356	CODE
LOW	captum/_utils/common.py	618	CODE
LOW	captum/_utils/common.py	772	CODE
LOW	captum/_utils/models/linear_model/train.py	103	CODE
LOW	captum/robust/_core/metrics/attack_comparator.py	440	CODE
LOW	captum/robust/_core/metrics/min_param_perturbation.py	234	CODE
LOW	captum/robust/_core/metrics/min_param_perturbation.py	291	CODE
LOW	captum/testing/helpers/basic.py	32	CODE
LOW	captum/testing/helpers/basic.py	190	CODE
LOW	captum/testing/helpers/influence/common.py	345	CODE
LOW	captum/testing/helpers/influence/common.py	659	CODE
LOW	captum/attr/_utils/approximation_methods.py	48	CODE
LOW	captum/attr/_utils/approximation_methods.py	79	CODE
LOW	captum/attr/_utils/visualization.py	226	CODE
LOW	captum/attr/_utils/visualization.py	274	CODE
LOW	captum/attr/_core/lime.py	1181	CODE
LOW	captum/attr/_core/lrp.py	306	CODE
LOW	captum/attr/_core/shapley_value.py	131	CODE
LOW	captum/attr/_core/shapley_value.py	476	CODE
LOW	captum/attr/_core/deep_lift.py	306	CODE
LOW	captum/attr/_core/deep_lift.py	329	CODE
LOW	captum/attr/_core/deep_lift.py	694	CODE
LOW	captum/attr/_core/remote_provider.py	165	CODE
LOW	captum/attr/_core/layer/layer_integrated_gradients.py	128	CODE
LOW	captum/attr/_core/layer/layer_integrated_gradients.py	135	CODE
LOW	captum/concept/_core/cav.py	163	CODE
LOW	captum/concept/_core/tcav.py	428	CODE

Cross-Language Confusion10 hits · 35 pts

Severity	File	Line	Snippet	Context
HIGH	tests/influence/_core/test_tracin_regression.py	57	# pyre-fixme[61]: `net_adjusted` is undefined, or not always defined.	COMMENT
HIGH	tests/influence/_core/test_tracin_regression.py	554	# pyre-fixme[61]: `test_loss_fn` is undefined, or not always defined.	STRING
HIGH	captum/_utils/gradient.py	941	# pyre-fixme[61]: `layer_parameters` is undefined, or not always	STRING
HIGH	captum/_utils/gradient.py	1059	# pyre-fixme[61]: `layer_parameters` is undefined, or not always	STRING
HIGH	captum/influence/_core/arnoldi_influence_function.py	155	# pyre-fixme[61]: `k` is undefined, or not always defined.	STRING
HIGH	captum/influence/_core/tracincp_fast_rand_proj.py	1550	# pyre-fixme[61]: `jacobian_projection` is undefined, or not	STRING
HIGH	captum/influence/_core/tracincp_fast_rand_proj.py	1554	# pyre-fixme[61]: `layer_input_projection` is undefined, or not	STRING
HIGH	captum/testing/helpers/basic_models.py	343	# pyre-fixme[61]: `another_embedding` is undefined, or not always defined.	STRING
HIGH	captum/testing/helpers/influence/common.py	491	# pyre-fixme[61]: `net_adjusted` is undefined, or not always defined.	COMMENT
HIGH	captum/concept/_utils/classifier.py	189	# pyre-fixme[61]: `input` is undefined, or not always defined.	STRING

AI Structural Patterns34 hits · 32 pts

Severity	File	Line	Context
LOW	tests/metrics/test_infidelity.py	486	CODE
LOW	tests/utils/test_linear_model.py	28	CODE
LOW	tests/attr/test_lime.py	526	CODE
LOW	tests/attr/test_kernel_shap.py	530	CODE
LOW	tests/attr/test_shapley.py	1092	CODE
LOW	tests/attr/test_shapley.py	1139	CODE
LOW	tests/attr/test_shapley.py	356	CODE
LOW	tests/attr/test_shapley.py	444	CODE
LOW	captum/_utils/gradient.py	593	CODE
LOW	captum/_utils/gradient.py	613	CODE
LOW	captum/_utils/gradient.py	630	CODE
LOW	captum/_utils/models/linear_model/model.py	49	CODE
LOW	captum/_utils/models/linear_model/train.py	103	CODE
LOW	captum/influence/_core/influence_function.py	698	CODE
LOW	captum/influence/_core/arnoldi_influence_function.py	294	CODE
LOW	captum/influence/_core/tracincp_fast_rand_proj.py	910	CODE
LOW	captum/attr/_utils/visualization.py	397	CODE
LOW	captum/attr/_utils/visualization.py	415	CODE
LOW	captum/attr/_utils/visualization.py	432	CODE
LOW	captum/attr/_utils/visualization.py	895	CODE
LOW	captum/attr/_core/lime.py	932	CODE
LOW	captum/attr/_core/lime.py	1181	CODE
LOW	captum/attr/_core/dataloader_attr.py	265	CODE
LOW	captum/attr/_core/shapley_value.py	767	CODE
LOW	captum/attr/_core/shapley_value.py	993	CODE
LOW	captum/attr/_core/kernel_shap.py	60	CODE
LOW	captum/attr/_core/kernel_shap.py	429	CODE
LOW	captum/attr/_core/neuron/neuron_conductance.py	103	CODE
LOW	captum/attr/_core/layer/internal_influence.py	74	CODE
LOW	captum/attr/_core/layer/layer_conductance.py	81	CODE
LOW	captum/attr/_core/layer/layer_conductance.py	98	CODE
LOW	captum/attr/_core/layer/layer_conductance.py	113	CODE
LOW	captum/attr/_core/layer/layer_integrated_gradients.py	300	CODE
LOW	captum/attr/_core/layer/layer_integrated_gradients.py	321	CODE

Self-Referential Comments6 hits · 20 pts

Severity	File	Line	Snippet	Context
MEDIUM	tests/attr/test_llm_attr.py	759	# Create a mock OpenAI client	COMMENT
MEDIUM	captum/testing/attr/helpers/conductance_reference.py	99	# Create a forward hook in order to attach backward hook to appropriate	STRING
MEDIUM⚡	captum/attr/_utils/interpretable_input.py	773	# Create a dummy mask for compatibility	COMMENT
MEDIUM⚡	captum/attr/_utils/interpretable_input.py	776	# Create a dummy mask if None is provided	COMMENT
MEDIUM⚡	captum/attr/_utils/interpretable_input.py	778	# Create a mask with all zeros (entire image as one segment)	COMMENT
MEDIUM	captum/concept/_core/tcav.py	314	>>> # Define the concepts	CODE

Modern Structural Boilerplate16 hits · 15 pts

Severity	File	Line	Snippet	Context
LOW	captum/__init__.py	14	__all__ = ["attr", "concept", "influence", "log", "metrics", "robust"]	CODE
LOW	captum/metrics/__init__.py	11	__all__ = [	CODE
LOW	captum/_utils/models/__init__.py	4	__all__ = [	CODE
LOW	captum/_utils/models/linear_model/__init__.py	14	__all__ = [	CODE
LOW	captum/robust/__init__.py	11	__all__ = ["FGSM", "AttackComparator", "MinParamPerturbation", "Perturbation", "PGD"]	CODE
LOW	captum/influence/__init__.py	14	__all__ = [	CODE
LOW	captum/influence/_utils/common.py	1018	def _set_attr(obj, names, val) -> None:	STRING
LOW	captum/module/__init__.py	6	__all__ = [	CODE
LOW	captum/testing/helpers/__init__.py	16	__all__ = [	CODE
LOW	captum/testing/helpers/basic.py	150	def set_all_random_seeds(seed: int = 1234) -> None:	CODE
LOW	captum/attr/__init__.py	91	__all__ = [	CODE
LOW	captum/attr/visualization.py	27	__all__ = [	CODE
LOW	captum/attr/_models/base.py	151	def _set_deep_layer_value(obj, layer_names, value) -> None:	STRING
LOW	captum/concept/__init__.py	9	__all__ = [	CODE
LOW	captum/log/dummy_log.py	66	def set_environment(env: Union[None, List[str], str]) -> None:	CODE
LOW	captum/log/__init__.py	25	__all__ = [	CODE

Over-Commented Block13 hits · 13 pts

Severity	File	Line	Snippet	Context
LOW	tests/influence/_core/test_dataloader.py	41	# [("none", captum.testing.helpers.influence.common.DataInfluenceConstructor	COMMENT
LOW	sphinx/source/conf.py	1	#! /usr/bin/env python3	COMMENT
LOW	sphinx/source/conf.py	101	html_theme = "alabaster"	COMMENT
LOW	sphinx/source/conf.py	121	#	COMMENT
LOW	sphinx/source/conf.py	141		COMMENT
LOW	scripts/publish_site.sh	61	# \|-- api/	COMMENT
LOW	captum/influence/_core/influence_function.py	521	# this is the factory that accepts a batch	COMMENT
LOW	captum/influence/_core/influence_function.py	1041	# as described in the description for `NaiveInfluenceFunction`, the embedding	COMMENT
LOW	captum/influence/_core/arnoldi_influence_function.py	541	# first figure out names of params that require gradients. this is need to	COMMENT
LOW	captum/influence/_core/arnoldi_influence_function.py	641	# the Hessian-vector product are actually tuples of tensors representing	COMMENT
LOW	captum/influence/_core/arnoldi_influence_function.py	761	def get_batch_embeddings(batch: List[Tensor]) -> Tensor:	COMMENT
LOW	captum/influence/_core/tracincp_fast_rand_proj.py	1381		COMMENT
LOW	captum/attr/_utils/summarizer.py	121	return temp if self._is_inputs_tuple else temp[0]	COMMENT

Cross-Language Confusion (JS/TS)2 hits · 10 pts

Severity	File	Line	Snippet	Context
HIGH	website/pages/en/index.js	156	print('IG Attributions:', attributions)	CODE
HIGH	website/pages/en/index.js	157	print('Convergence Delta:', delta)	CODE

Dead Code2 hits · 4 pts

Severity	File	Line	Snippet	Context
MEDIUM	captum/influence/_core/arnoldi_influence_function.py	603		CODE
MEDIUM	captum/influence/_core/arnoldi_influence_function.py	609		CODE

Excessive Try-Catch Wrapping5 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	captum/influence/_core/tracincp_fast_rand_proj.py	236	except Exception as ex:	STRING
LOW	captum/attr/_core/guided_grad_cam.py	222	except Exception:	STRING
LOW	captum/attr/_core/remote_provider.py	118	except Exception as e:	CODE
LOW	captum/attr/_core/remote_provider.py	162	except Exception as e:	CODE
LOW	captum/attr/_core/remote_provider.py	247	except Exception as e:	CODE

Structural Annotation Overuse2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	captum/attr/_utils/stat.py	227	# NOTE: The following ensures mse is a float tensor.	COMMENT
LOW	captum/attr/_utils/summarizer.py	168	# Step 2: get the correct order	STRING

Verbosity Indicators3 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	captum/attr/_utils/summarizer.py	137	# Step 1:	STRING
LOW	captum/attr/_utils/summarizer.py	140	# Step 2:	STRING
LOW	captum/attr/_utils/summarizer.py	168	# Step 2: get the correct order	STRING

AI Slop Vocabulary1 hit · 1 pts

Severity	File	Line	Snippet	Context
MEDIUM	captum/influence/_core/arnoldi_influence_function.py	651	# aforementioned hessian, then `R` would be `vs @ torch.diag(ls ** -0.5)`, i.e.	STRING

Redundant / Tautological Comments1 hit · 0 pts

Severity	File	Line	Snippet	Context
LOW	captum/attr/_core/llm_attr.py	246	# Loop over the data and create a `Text` for each "pixel".	STRING

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings