huggingface/pytorch-image-models

8.5

Adjusted Score

8.5

Raw Score

100%

Time Factor

2026-08-28

Last Push

37.1K

Stars

Python

Language

342.7K

Lines of Code

366

Files

2.2K

Pattern Hits

2026-08-29

Scan Date

0.60

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 4HIGH 215MEDIUM 35LOW 1934

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 2188 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.

Cross-File Repetition202 hits · 1010 pts

Severity	File	Line	Snippet	Context
HIGH	timm/optim/mars.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/lamb.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/adafactor.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/nvnovograd.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/adabelief.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/adamw.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/laprop.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/nadam.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/rmsprop_tf.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/madgrad.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/sgdw.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/lars.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/nadamw.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/optim/adopt.py	0	perform a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returns	STRING
HIGH	timm/models/repvit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/tiny_vit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/ghostnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/davit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/efficientvit_mit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/rexnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/edgenext.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/swiftformer.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/nest.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/regnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/resnetv2.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/efficientvit_msra.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/shvit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/tresnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/fastvit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/fasternet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/efficientformer.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/levit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/vovnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/inception_v4.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/maxxvit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/metaformer.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/repghost.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/swin_transformer_v2.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/pvt_v2.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/lcnetv2.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/mambaout.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/gcvit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/starnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/inception_next.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/focalnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/pit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/swin_transformer_v2_cr.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/efficientformer_v2.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/nextvit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/hgnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/volo.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/xcit.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/mvitv2.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/twins.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/vision_transformer_sam.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/hiera.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/hieradet_sam2.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/vision_transformer_relpos.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/cpubone.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
HIGH	timm/models/byobnet.py	0	forward features that returns intermediates. args: x: input image tensor indices: take last n blocks if an int, if is a	STRING
142 more matches not shown…

Unused Imports782 hits · 536 pts

Severity	File	Line	Context
LOW	legacy_train.py	53	CODE
LOW	train.py	60	CODE
LOW	inference.py	9	CODE
LOW	clean_checkpoint.py	15	CODE
LOW	tests/test_scheduler.py	18	CODE
LOW	tests/test_models.py	30	CODE
LOW	timm/__init__.py	1	CODE
LOW	timm/__init__.py	2	CODE
LOW	timm/__init__.py	2	CODE
LOW	timm/__init__.py	2	CODE
LOW	timm/__init__.py	2	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/__init__.py	8	CODE
LOW	timm/layers/squeeze_excite.py	13	CODE
LOW	timm/layers/classifier.py	11	CODE
LOW	timm/layers/create_act.py	4	CODE
LOW	timm/layers/create_act.py	4	CODE
LOW	timm/layers/create_act.py	6	CODE
LOW	timm/layers/create_act.py	7	CODE
LOW	timm/layers/create_norm.py	9	CODE
LOW	timm/layers/separable_conv.py	8	CODE
LOW	timm/layers/trace_utils.py	2	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	1	CODE
LOW	timm/layers/__init__.py	11	CODE
LOW	timm/layers/__init__.py	12	CODE
LOW	timm/layers/__init__.py	12	CODE
LOW	timm/layers/__init__.py	12	CODE
LOW	timm/layers/__init__.py	12	CODE
LOW	timm/layers/__init__.py	18	CODE
LOW	timm/layers/__init__.py	18	CODE
LOW	timm/layers/__init__.py	18	CODE
LOW	timm/layers/__init__.py	18	CODE
LOW	timm/layers/__init__.py	19	CODE
LOW	timm/layers/__init__.py	19	CODE
LOW	timm/layers/__init__.py	19	CODE
LOW	timm/layers/__init__.py	20	CODE
LOW	timm/layers/__init__.py	20	CODE
LOW	timm/layers/__init__.py	21	CODE
LOW	timm/layers/__init__.py	21	CODE
LOW	timm/layers/__init__.py	22	CODE
LOW	timm/layers/__init__.py	22	CODE
LOW	timm/layers/__init__.py	23	CODE
LOW	timm/layers/__init__.py	23	CODE
LOW	timm/layers/__init__.py	23	CODE
LOW	timm/layers/__init__.py	23	CODE
LOW	timm/layers/__init__.py	24	CODE
722 more matches not shown…

AI Structural Patterns453 hits · 452 pts

Severity	File	Line	Context
LOW	legacy_train.py	1076	CODE
LOW	benchmark.py	208	CODE
LOW	train.py	1250	CODE
LOW	timm/layers/std_conv.py	35	CODE
LOW	timm/layers/std_conv.py	76	CODE
LOW	timm/layers/std_conv.py	121	CODE
LOW	timm/layers/std_conv.py	182	CODE
LOW	timm/layers/squeeze_excite.py	30	CODE
LOW	timm/layers/squeeze_excite.py	109	CODE
LOW	timm/layers/attention.py	53	CODE
LOW	timm/layers/attention.py	158	CODE
LOW	timm/layers/classifier.py	249	CODE
LOW	timm/layers/attention_pool2d.py	36	CODE
LOW	timm/layers/attention_pool2d.py	195	CODE
LOW	timm/layers/pos_embed_sincos.py	168	CODE
LOW	timm/layers/pos_embed_sincos.py	86	CODE
LOW	timm/layers/pos_embed_sincos.py	337	CODE
LOW	timm/layers/pos_embed_sincos.py	404	CODE
LOW	timm/layers/pos_embed_sincos.py	542	CODE
LOW	timm/layers/pos_embed_sincos.py	1116	CODE
LOW	timm/layers/separable_conv.py	19	CODE
LOW	timm/layers/separable_conv.py	85	CODE
LOW	timm/layers/gather_excite.py	29	CODE
LOW	timm/layers/non_local_attn.py	153	CODE
LOW	timm/layers/other_pool.py	195	CODE
LOW	timm/layers/other_pool.py	286	CODE
LOW	timm/layers/bottleneck_attn.py	122	CODE
LOW	timm/layers/bottleneck_attn.py	185	CODE
LOW	timm/layers/lambda_layer.py	73	CODE
LOW	timm/layers/lambda_layer.py	171	CODE
LOW	timm/layers/attention_pool.py	20	CODE
LOW	timm/layers/mlp.py	19	CODE
LOW	timm/layers/mlp.py	63	CODE
LOW	timm/layers/mlp.py	120	CODE
LOW	timm/layers/mlp.py	171	CODE
LOW	timm/layers/mlp.py	218	CODE
LOW	timm/layers/mlp.py	256	CODE
LOW	timm/layers/diff_attention.py	37	CODE
LOW	timm/layers/hybrid_embed.py	28	CODE
LOW	timm/layers/hybrid_embed.py	228	CODE
LOW	timm/layers/conv_bn_act.py	16	CODE
LOW	timm/layers/halo_attn.py	142	CODE
LOW	timm/layers/halo_attn.py	247	CODE
LOW	timm/layers/attention2d.py	27	CODE
LOW	timm/layers/attention2d.py	107	CODE
LOW	timm/layers/attention2d.py	324	CODE
LOW	timm/layers/patch_embed.py	32	CODE
LOW	timm/layers/patch_embed.py	150	CODE
LOW	timm/layers/eca.py	61	CODE
LOW	timm/layers/eca.py	135	CODE
LOW	timm/layers/global_context.py	23	CODE
LOW	timm/layers/split_attn.py	38	CODE
LOW	timm/layers/selective_kernel.py	63	CODE
LOW	timm/layers/cbam.py	24	CODE
LOW	timm/layers/cbam.py	54	CODE
LOW	timm/layers/cbam.py	116	CODE
LOW	timm/layers/cbam.py	150	CODE
LOW	timm/layers/cond_conv2d.py	46	CODE
LOW	timm/layers/cond_conv2d.py	139	CODE
LOW	timm/layers/norm_act.py	64	CODE
393 more matches not shown…

Hyper-Verbose Identifiers327 hits · 332 pts

Severity	File	Line	Snippet	Context
LOW	tests/test_utils.py	16	def test_average_meter_zero_count():	CODE
LOW	tests/test_utils.py	74	def test_activation_stats_hook_validation():	CODE
LOW	tests/test_utils.py	107	def test_freeze_unfreeze_bn_root():	CODE
LOW	tests/test_utils.py	124	def test_activation_stats_functions():	CODE
LOW	tests/test_utils.py	143	def test_reparameterize_model():	CODE
LOW	tests/test_utils.py	172	def test_get_state_dict_custom_unwrap():	CODE
LOW	tests/test_utils.py	190	def test_freeze_unfreeze_string_input():	CODE
LOW	tests/test_task.py	64	def _param_group_weight_decay(optimizer):	CODE
LOW	tests/test_task.py	72	def test_task_checkpoint_omits_empty_task_state_and_keeps_legacy_paths(tmp_path):	CODE
LOW	tests/test_task.py	103	def test_feature_distillation_checkpoint_keeps_projection_in_task_state(tmp_path):	CODE
LOW	tests/test_task.py	141	def test_feature_distillation_trainable_module_optimizer_grouping():	CODE
LOW	tests/test_task.py	167	def test_base_eval_model_preserves_trainable_wrapper_for_use():	CODE
LOW	tests/test_task.py	177	def test_compiled_ema_eval_model_reflects_update():	CODE
LOW	tests/test_task.py	202	def test_compiled_eval_checkpoint_load_uses_unwrapped_state_dict_target():	CODE
LOW	tests/test_naflex_dataset.py	42	def test_naflex_epoch_batches_are_prepared_when_iteration_starts():	CODE
LOW	tests/test_naflex_dataset.py	64	def test_naflex_persistent_workers_read_shared_epoch():	CODE
LOW	tests/test_naflex_dataset.py	88	def test_naflex_persistent_workers_disable_mixup_at_configured_epoch():	CODE
LOW	tests/test_naflex_dataset.py	117	def test_naflex_epoch_prep_warnings_only_emitted_by_worker_zero(monkeypatch):	CODE
LOW⚡	tests/test_hub.py	27	def test_load_state_dict_from_path_prefers_preferred_file(tmp_path):	CODE
LOW⚡	tests/test_hub.py	35	def test_load_state_dict_from_path_ext_priority(tmp_path):	CODE
LOW⚡	tests/test_hub.py	45	def test_load_state_dict_from_path_multiple_same_ext_warns(tmp_path, caplog):	CODE
LOW⚡	tests/test_hub.py	55	def test_load_state_dict_from_path_accepts_str(tmp_path):	CODE
LOW⚡	tests/test_hub.py	60	def test_load_state_dict_from_path_no_checkpoint(tmp_path):	CODE
LOW	tests/test_layers.py	33	def test_get_device_dtype_prefers_explicit_values():	CODE
LOW	tests/test_layers.py	69	def test_classifier_head_reset_preserves_dtype(head_cls, head_kwargs, input_shape, pool_type):	CODE
LOW	tests/test_layers.py	93	def test_attention_pool_head_reset_uses_parent_dtype(head_cls, head_kwargs):	CODE
LOW	tests/test_layers.py	106	def test_resample_abs_pos_embed_same_token_count_different_grid():	CODE
LOW	tests/test_layers.py	130	def test_patch_embed_interpolator_reuses_nonpersistent_cache(monkeypatch):	CODE
LOW	tests/test_layers.py	162	def test_patch_embed_interpolator_cache_survives_autocast(monkeypatch):	CODE
LOW	tests/test_layers.py	190	def test_patch_embed_interpolator_prewarm_supports_fullgraph_compile():	CODE
LOW	tests/test_layers.py	216	def test_patch_embed_interpolator_cache_keeps_per_device_entries_for_replicas(monkeypatch):	CODE
LOW	tests/test_layers.py	227	def fake_compute_resize_matrix(old_size, new_size, interpolation, antialias, device, dtype):	CODE
LOW	tests/test_layers.py	253	def test_patch_embed_interpolator_prewarm_normalizes_device_alias(monkeypatch):	CODE
LOW	tests/test_layers.py	265	def test_patch_embed_interpolator_apply_accepts_recurse():	CODE
LOW	tests/test_layers.py	342	def test_get_act_layer_empty_string():	CODE
LOW	tests/test_layers.py	347	def test_create_act_layer_inplace_error():	CODE
LOW	tests/test_layers.py	359	def test_create_act_layer_edge_cases():	CODE
LOW	tests/test_factory.py	58	def test_parse_model_name_no_prefix(model_name):	CODE
LOW	tests/test_factory.py	72	def test_parse_model_name_invalid(model_name):	CODE
LOW	tests/test_optim.py	29	def _test_basic_cases_template(weight, bias, input, constructor, scheduler_constructors):	CODE
LOW	tests/test_optim.py	289	def _build_params_dict_single(weight, bias, **kwargs):	CODE
LOW	tests/test_optim.py	392	def test_compiled_foreach_adam_optimizers(optimizer_name, foreach):	CODE
LOW	tests/test_optim.py	434	def test_compiled_muon_fallback(nesterov):	CODE
LOW	tests/test_optim.py	615	def test_param_groups_layer_decay_with_min():	CODE
LOW	tests/test_optim.py	638	def test_registry_create_optimizer_layer_decay_default_min_scale():	CODE
LOW	tests/test_optim.py	658	def test_param_groups_layer_decay_with_matcher():	CODE
LOW	tests/test_optim.py	685	def test_param_groups_layer_decay_reg_token_stem(model_name):	CODE
LOW	tests/test_optim.py	735	def test_param_groups_weight_decay():	CODE
LOW	tests/test_optim.py	787	def test_adafactor_bv_factored_row_normalization(shape):	CODE
LOW	tests/test_optim.py	809	def test_sgdw_multi_tensor_weight_decay_matches_single_tensor():	CODE
LOW	tests/test_scheduler.py	70	def test_plateau_scheduler_step(self):	CODE
LOW	tests/test_scheduler.py	122	def test_warmup_prefix_reaches_target_lr(self, scheduler_cls, kwargs):	CODE
LOW	tests/test_scheduler.py	347	def test_state_dict_save_load(self, scheduler_cls, kwargs):	CODE
LOW	tests/test_scheduler.py	368	def test_plateau_state_dict_save_load(self):	CODE
LOW	tests/test_scheduler.py	400	def test_step_update_with_t_in_epochs_false(self, scheduler_cls, kwargs):	CODE
LOW	tests/test_scheduler.py	430	def test_multiple_param_groups(self, scheduler_cls, kwargs):	CODE
LOW⚡	tests/test_models.py	440	def test_model_load_pretrained(model_name, batch_size):	CODE
LOW⚡	tests/test_models.py	448	def test_model_features_pretrained(model_name, batch_size):	CODE
LOW⚡	tests/test_models.py	457	def test_pruned_efficientnet_in_chans(model_name):	CODE
LOW	tests/test_models.py	259	def _assert_reset_classifier_preserves_parent_device_dtype(model):	CODE
267 more matches not shown…

Modern Structural Boilerplate153 hits · 154 pts

Severity	File	Line	Snippet	Context
LOW	train.py	484	def _set_loader_epoch(loader, epoch: int) -> None:	CODE
LOW	timm/layers/attention.py	12	__all__ = ['Attention', 'AttentionRope', 'maybe_add_mask', 'resolve_self_attn_mask']	CODE
LOW	timm/layers/config.py	9	__all__ = [	CODE
LOW	timm/layers/_fx.py	15	__all__ = [	CODE
LOW	timm/layers/typing.py	7	__all__ = ["LayerType", "PadType", "nullwrap", "disable_compiler"]	CODE
LOW	timm/scheduler/scheduler.py	91	def update_groups(self, values: Union[float, List[float]]) -> None:	CODE
LOW	timm/optim/_types.py	29	__all__ = ['ParamsT', 'OptimType', 'OptimizerCallable']	CODE
LOW	timm/optim/sgdw.py	22	__all__ = ['SGDW', 'sgdw']	CODE
LOW	timm/optim/adopt.py	26	__all__ = ["Adopt", "adopt"]	CODE
LOW	timm/models/repvit.py	29	__all__ = ['RepVit']	CODE
LOW	timm/models/tiny_vit.py	9	__all__ = ['TinyVit']	CODE
LOW	timm/models/deit.py	25	__all__ = ['VisionTransformerDistilled'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/ghostnet.py	30	__all__ = ['GhostNet']	CODE
LOW	timm/models/volo.py	36	__all__ = ['VOLO'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/volo.py	922	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/davit.py	31	__all__ = ['DaVit']	CODE
LOW	timm/models/efficientvit_mit.py	9	__all__ = ['EfficientVit', 'EfficientVitLarge']	CODE
LOW	timm/models/gemma4_vit.py	29	__all__ = ['Gemma4VitEncoder', 'Gemma4VitClassifier']	CODE
LOW	timm/models/gemma4_vit.py	787	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/gemma4_vit.py	791	def set_clamp_enabled(self, enabled: bool = True) -> None:	CODE
LOW	timm/models/gemma4_vit.py	1120	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/gemma4_vit.py	1124	def set_clamp_enabled(self, enabled: bool = True) -> None:	CODE
LOW	timm/models/_efficientnet_blocks.py	26	__all__ = [	CODE
LOW	timm/models/selecsls.py	22	__all__ = ['SelecSls'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/rexnet.py	28	__all__ = ['RexNet'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/rexnet.py	335	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/inception_resnet_v2.py	16	__all__ = ['InceptionResnetV2']	CODE
LOW	timm/models/edgenext.py	37	__all__ = ['EdgeNeXt'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/hrnet.py	24	__all__ = ['HighResolutionNet', 'HighResolutionNetFeatures'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/hieradet_sam2.py	460	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/vgg.py	20	__all__ = ['VGG']	CODE
LOW	timm/models/vgg.py	195	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/byoanet.py	22	__all__ = []	CODE
LOW	timm/models/convmixer.py	15	__all__ = ['ConvMixer']	CODE
LOW	timm/models/swiftformer.py	27	__all__ = ['SwiftFormer']	CODE
LOW	timm/models/nest.py	50	__all__ = ['Nest'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/cspnet.py	28	__all__ = ['CspNet'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/hardcorenas.py	13	__all__ = [] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/beit.py	71	__all__ = ['Beit']	CODE
LOW	timm/models/vision_transformer_relpos.py	40	__all__ = ['VisionTransformerRelPos'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/xcit.py	30	__all__ = ['Xcit'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/regnet.py	42	__all__ = ['RegNet', 'RegNetCfg'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/regnet.py	714	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/sequencer.py	23	__all__ = ['Sequencer2d'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/cpubone.py	26	__all__ = ['CPUBone']	CODE
LOW	timm/models/mvitv2.py	33	__all__ = ['MultiScaleVit', 'MultiScaleVitCfg'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/resnetv2.py	48	__all__ = ['ResNetV2'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/resnetv2.py	669	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/vision_transformer.py	82	__all__ = ['VisionTransformer'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/vision_transformer.py	985	def set_grad_checkpointing(self, enable: bool = True) -> None:	CODE
LOW	timm/models/efficientvit_msra.py	9	__all__ = ['EfficientVitMsra']	CODE
LOW	timm/models/xception_aligned.py	21	__all__ = ['XceptionAligned']	CODE
LOW	timm/models/shvit.py	27	__all__ = ['SHViT']	CODE
LOW	timm/models/tresnet.py	21	__all__ = ['TResNet'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/senet.py	27	__all__ = ['SENet']	CODE
LOW	timm/models/fastvit.py	33	__all__ = ['FastVit']	CODE
LOW	timm/models/_efficientnet_builder.py	23	__all__ = ["EfficientNetBuilder", "BlockArgs", "decode_arch_def", "efficientnet_init_weights",	CODE
LOW	timm/models/fasternet.py	32	__all__ = ['FasterNet']	CODE
LOW	timm/models/efficientformer.py	37	__all__ = ['EfficientFormer'] # model_registry will add each entrypoint fn to this	CODE
LOW	timm/models/twins.py	30	__all__ = ['Twins'] # model_registry will add each entrypoint fn to this	CODE
93 more matches not shown…

Deep Nesting151 hits · 149 pts

Severity	File	Line	Context
LOW	legacy_train.py	428	CODE
LOW	legacy_train.py	1076	CODE
LOW	legacy_train.py	1288	CODE
LOW	benchmark.py	163	CODE
LOW	benchmark.py	564	CODE
LOW	benchmark.py	620	CODE
LOW	benchmark.py	305	CODE
LOW	validate.py	175	CODE
LOW	validate.py	462	CODE
LOW	validate.py	491	CODE
LOW	train.py	493	CODE
LOW	train.py	1250	CODE
LOW	train.py	1475	CODE
LOW	bulk_runner.py	96	CODE
LOW	bulk_runner.py	141	CODE
LOW	inference.py	151	CODE
LOW	inference.py	373	CODE
LOW	results/generate_csv_results.py	20	CODE
LOW	timm/layers/classifier.py	315	CODE
LOW	timm/layers/pos_embed_sincos.py	1315	CODE
LOW	timm/layers/gather_excite.py	29	CODE
LOW	timm/layers/non_local_attn.py	71	CODE
LOW	timm/layers/adaptive_avgmax_pool.py	42	CODE
LOW	timm/layers/adaptive_avgmax_pool.py	127	CODE
LOW	timm/layers/inplace_abn.py	43	CODE
LOW	timm/layers/pool1d.py	4	CODE
LOW	timm/layers/create_attn.py	22	CODE
LOW	timm/layers/weight_init.py	110	CODE
LOW	timm/layers/norm_act.py	278	CODE
LOW	timm/layers/norm_act.py	322	CODE
LOW	timm/scheduler/scheduler_factory.py	63	CODE
LOW	timm/optim/_param_groups.py	19	CODE
LOW	timm/optim/sgdw.py	195	CODE
LOW	timm/optim/sgdw.py	241	CODE
LOW	timm/optim/_optim_factory.py	177	CODE
LOW	timm/optim/lamb.py	153	CODE
LOW	timm/optim/adafactor.py	128	CODE
LOW	timm/optim/adafactor_bv.py	210	CODE
LOW	timm/optim/adafactor_bv.py	123	CODE
LOW	timm/optim/lars.py	76	CODE
LOW	timm/optim/nvnovograd.py	67	CODE
LOW	timm/optim/adamp.py	90	CODE
LOW	timm/optim/adabelief.py	107	CODE
LOW	timm/optim/adamw.py	103	CODE
LOW	timm/optim/kron.py	400	CODE
LOW	timm/optim/kron.py	218	CODE
LOW	timm/optim/radam.py	38	CODE
LOW	timm/optim/laprop.py	80	CODE
LOW	timm/optim/muon.py	531	CODE
LOW	timm/optim/muon.py	783	CODE
LOW	timm/optim/rmsprop_tf.py	100	CODE
LOW	timm/optim/sgdp.py	50	CODE
LOW	timm/optim/madgrad.py	91	CODE
LOW	timm/utils/model.py	111	CODE
LOW	timm/utils/model.py	233	CODE
LOW	timm/utils/model.py	237	CODE
LOW	timm/models/davit.py	470	CODE
LOW	timm/models/inception_resnet_v2.py	299	CODE
LOW	timm/models/inception_resnet_v2.py	303	CODE
LOW	timm/models/hrnet.py	439	CODE
91 more matches not shown…

Docstring Block Structure12 hits · 60 pts

Severity	File	Line	Snippet	Context
HIGH	timm/optim/_optim_factory.py	161	Get the OptimInfo for an optimizer. Args: name: Name of the optimizer Returns:	STRING
HIGH	timm/optim/_optim_factory.py	182	Get the optimizer class with any default arguments applied. This allows direct instantiation of optimizers with	STRING
HIGH	timm/optim/_optim_factory.py	245	Create an optimizer instance. Args: model_or_params: Model or parameters to optimize op	STRING
HIGH	timm/optim/_optim_factory.py	1107	List available optimizer names, optionally filtered. List all registered optimizers, with optional filtering using	STRING
HIGH	timm/optim/_optim_factory.py	1148	Get the OptimInfo for an optimizer. Args: name: Name of the optimizer Returns: OptimInfo confi	STRING
HIGH	timm/optim/_optim_factory.py	1166	Get optimizer class by name with option to bind default arguments. Retrieves the optimizer class or a partial funct	STRING
HIGH	timm/optim/_optim_factory.py	1215	Create an optimizer instance via timm registry. Creates and configures an optimizer with appropriate parameter grou	STRING
HIGH	timm/optim/muon.py	267	Check if a parameter is suitable for Muon optimization. Args: param: Parameter tensor min_dim_size:	STRING
HIGH	timm/models/_efficientnet_builder.py	82	Decode block definition string Gets a list of block arg (dicts) through a string notation of arguments. E.g. i	STRING
HIGH	timm/models/_factory.py	27	Parse source and name from potentially prefixed model name. Everything after a recognized source prefix is treated	STRING
HIGH	timm/data/auto_augment.py	587	Create a AutoAugment transform Args: config_str: String defining configuration of auto augmentation. Consi	STRING
HIGH	timm/data/auto_augment.py	768	Create a RandAugment transform Args: config_str (str): String defining configuration of random augmentatio	STRING

Decorative Section Separators15 hits · 45 pts

Severity	File	Line	Snippet	Context
MEDIUM	timm/optim/lion.py	22	# ==============================================================================	COMMENT
MEDIUM	timm/models/beit.py	29	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/twins.py	8	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/twins.py	13	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/swin_transformer_v2.py	9	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/swin_transformer_v2.py	14	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/swin_transformer.py	12	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/swin_transformer.py	17	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/focalnet.py	14	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/focalnet.py	19	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/hiera.py	11	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/hiera.py	24	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/swin_transformer_v2_cr.py	24	# --------------------------------------------------------	COMMENT
MEDIUM	timm/models/swin_transformer_v2_cr.py	29	# --------------------------------------------------------	COMMENT
MEDIUM	timm/data/tf_preprocessing.py	23	# ==============================================================================	COMMENT

Hallucination Indicators4 hits · 40 pts

Severity	File	Line	Snippet	Context
CRITICAL	timm/models/hieradet_sam2.py	427	self.head.fc.weight.data.mul_(head_init_scale)	CODE
CRITICAL	timm/models/hieradet_sam2.py	428	self.head.fc.bias.data.mul_(head_init_scale)	CODE
CRITICAL	timm/models/hiera.py	632	self.head.fc.weight.data.mul_(head_init_scale)	CODE
CRITICAL	timm/models/hiera.py	633	self.head.fc.bias.data.mul_(head_init_scale)	CODE

Over-Commented Block31 hits · 31 pts

Severity	File	Line	Snippet	Context
LOW	tests/test_optim.py	341	# _test_basic_cases(	COMMENT
LOW	timm/layers/pos_embed_rel.py	41		COMMENT
LOW	timm/layers/patch_embed.py	661	stride=patch_size, padding=0	COMMENT
LOW	timm/layers/patch_embed.py	681	# img_size=240,	COMMENT
LOW	timm/layers/patch_embed.py	701	# self.base_grid_size = tuple([i // p for i, p in zip(self.base_img_size, self.base_patch_size)])	COMMENT
LOW	timm/layers/cond_conv2d.py	121		COMMENT
LOW	timm/optim/lion.py	1	""" Lion Optimizer	COMMENT
LOW	timm/optim/lamb.py	21	# Copyright (c) 2021, Habana Labs Ltd. All rights reserved.	COMMENT
LOW	timm/optim/lamb.py	41	# Permission is hereby granted, free of charge, to any person obtaining a copy	COMMENT
LOW	timm/optim/adan.py	1	""" Adan Optimizer	COMMENT
LOW	timm/utils/distributed.py	121	dist_backend = dist_backends.get(device_type, 'gloo')	COMMENT
LOW	timm/models/volo.py	1	""" Vision OutLOoker (VOLO) implementation	COMMENT
LOW	timm/models/efficientvit_mit.py	1181	# # hf_hub_id='timm/',	COMMENT
LOW	timm/models/efficientvit_mit.py	1281	# def efficientvit_l1_sam(pretrained=False, **kwargs):	COMMENT
LOW	timm/models/hieradet_sam2.py	701	# model_args = dict(window_spec=(8, 4, 16, 8))	COMMENT
LOW	timm/models/beit.py	21	primaryClass={cs.CV}	COMMENT
LOW	timm/models/efficientvit_msra.py	661	x = self.forward_features(x)	COMMENT
LOW	timm/models/efficientvit_msra.py	681	# k[-2] = 'linear'	COMMENT
LOW	timm/models/shvit.py	461	else:	COMMENT
LOW	timm/models/shvit.py	481	# downsample_mapping[f'^stages\\.{i}\\.blocks\\.1\\.'] = f'stages.{i}.downsample.2.'	COMMENT
LOW	timm/models/fasternet.py	401	# 'conv_head.weight': state_dict.pop('avgpool_pre_head.1.weight'),	COMMENT
LOW	timm/models/twins.py	101	x = x[:, :H, :W, :].contiguous()	COMMENT
LOW	timm/models/twins.py	121	# x = x.reshape(B, _h, self.ws, _w, self.ws, C).transpose(2, 3) # B, _h, _w, ws, ws, C	COMMENT
LOW	timm/models/levit.py	921	# filter out attn biases, should not have been persistent	COMMENT
LOW	timm/models/visformer.py	521	init_channels=32, embed_dim=384, depth=(7, 4, 4), num_heads=6, mlp_ratio=4., group=8,	COMMENT
LOW	timm/models/visformer.py	541	# spatial_conv='000', vit_stem=False, conv_init=True, **kwargs)	COMMENT
LOW	timm/models/visformer.py	561	# return model	COMMENT
LOW	timm/models/visformer.py	581	#	COMMENT
LOW	timm/models/hiera.py	1	""" An PyTorch implementation of Hiera	COMMENT
LOW	timm/data/tf_preprocessing.py	1	""" Tensorflow Preprocessing Adapter	COMMENT
LOW	.github/workflows/trufflehog.yml	21	# unreachable), so we still fail on maybe-real secrets; 'unverified' (the noisy	COMMENT

Excessive Try-Catch Wrapping23 hits · 28 pts

Severity	File	Line	Snippet	Context
MEDIUM	avg_checkpoints.py	85	print("Error: Output filename ({}) already exists.".format(output))	CODE
MEDIUM	avg_checkpoints.py	113	print('Error: No checkpoints found to average.')	CODE
MEDIUM	avg_checkpoints.py	121	print(f"Error: Checkpoint ({c}) doesn't exist")	CODE
LOW	bulk_runner.py	203	except Exception as e:	CODE
MEDIUM	clean_checkpoint.py	42	print("Error: Output filename ({}) already exists.".format(args.output))	CODE
MEDIUM	clean_checkpoint.py	110	print("Error: Checkpoint ({}) doesn't exist".format(checkpoint))	CODE
LOW	tests/test_models.py	199	except Exception:	CODE
LOW	tests/test_models.py	600	except Exception:	CODE
LOW	timm/layers/blur_pool.py	118	except Exception:	CODE
LOW	timm/optim/lion.py	159	except Exception:	STRING
LOW	timm/optim/adan.py	127	except Exception:	CODE
MEDIUM	timm/optim/adan.py	34	def __init__(self, chunk_size):	CODE
LOW	timm/optim/adamw.py	216	except Exception:	STRING
LOW	timm/optim/nadamw.py	197	except Exception:	STRING
LOW	timm/utils/jit.py	33	except Exception:	CODE
LOW	timm/utils/jit.py	42	except Exception:	CODE
LOW	timm/utils/checkpoint_saver.py	122	except Exception as e:	CODE
LOW	timm/utils/checkpoint_saver.py	178	except Exception as e:	CODE
LOW	timm/models/eva.py	1250	except Exception as e:	CODE
LOW	timm/models/_hub.py	588	except Exception as _:	CODE
LOW⚡	timm/models/_helpers.py	36	except Exception:	CODE
LOW	timm/data/naflex_dataset.py	553	except Exception as e:	CODE
LOW	timm/data/readers/reader_wds.py	57	except Exception as e:	CODE

Redundant / Tautological Comments16 hits · 24 pts

Severity	File	Line	Snippet	Context
LOW	legacy_train.py	689	# Check if we should use the NaFlex scheduled loader	COMMENT
LOW	legacy_train.py	753	# Check if we have model's patch size for NaFlex mode	COMMENT
LOW	train.py	694	# Check if we should use the NaFlex scheduled loader	COMMENT
LOW	train.py	773	# Check if we have model's patch size for NaFlex mode	COMMENT
LOW	timm/layers/pos_embed_sincos.py	682	# Check if we have pre-computed bands	COMMENT
LOW	timm/layers/blur_pool.py	143	# Check if aa_layer is a partial and already has device/dtype set	COMMENT
LOW	timm/optim/muon.py	576	# Increment step	COMMENT
LOW	timm/models/vision_transformer.py	3197	# Check if we should use NaFlexVit instead	COMMENT
LOW	timm/models/fastvit.py	97	# Check if SE-ReLU is requested	COMMENT
LOW	timm/models/naflexvit.py	298	# Check if we need EVA block features	COMMENT
LOW	timm/models/naflexvit.py	2019	# Check if it's a perfect square for a standard grid	COMMENT
LOW	timm/models/eva.py	1319	# Check if we should use NaFlexVit implementation	COMMENT
LOW	timm/models/_hub.py	435	# Check if README file already exist in repo	COMMENT
LOW	timm/models/_helpers.py	150	# Check if safetensors or not and load weights accordingly	COMMENT
LOW	timm/data/naflex_dataset.py	120	# Check if patches are flattened or unflattened	COMMENT
LOW	convert/convert_gemma4_vit.py	97	# Check if this is a vision key (vision_tower or vision_model)	COMMENT

Self-Referential Comments10 hits · 21 pts

Severity	File	Line	Snippet	Context
MEDIUM⚡	timm/models/_factory.py	122	>>> # Create a MobileNetV3-Large model with no pretrained weights.	STRING
MEDIUM⚡	timm/models/_factory.py	125	>>> # Create a MobileNetV3-Large model with pretrained weights.	STRING
MEDIUM⚡	timm/models/_factory.py	130	>>> # Create a MobileNetV3-Large model with pretrained weights and a new head with 10 classes.	STRING
MEDIUM⚡	timm/models/_factory.py	135	>>> # Create a Dinov2 small model with pretrained weights and save weights in a custom directory.	STRING
MEDIUM	timm/models/naflexvit.py	1057	# Create the float mask and apply masking using additive mask convention	COMMENT
MEDIUM	timm/models/hiera.py	155	# Create a view of the tensor with the patch stride as separate dims	COMMENT
MEDIUM	timm/models/swin_transformer_v2_cr.py	98	r"""This class implements window-based Multi-Head-Attention with log-spaced continuous position bias.	CODE
MEDIUM	timm/models/swin_transformer_v2_cr.py	246	r"""This class implements the Swin transformer block.	CODE
MEDIUM	timm/models/swin_transformer_v2_cr.py	594	r"""This class implements a stage of the Swin transformer including multiple layers.	CODE
MEDIUM	timm/data/naflex_loader.py	427	# Create the collator	COMMENT

AI Slop Vocabulary5 hits · 10 pts

Severity	File	Line	Snippet	Context
MEDIUM	timm/layers/norm_act.py	156	# but ONLY when used in conjunction with the timm conversion function below.	STRING
MEDIUM	timm/models/gemma4_vit.py	1378	# so the test harness' size-clamp doesn't land at 128 and blow the	COMMENT
MEDIUM	timm/models/swin_transformer_v2_cr.py	681	""" Updates the resolution to utilize and the window size and so the pair-wise relative positions.	STRING
MEDIUM	timm/data/imagenet_info.py	41	# which will be more robust than a guess based on num_classes	COMMENT
LOW	timm/data/naflex_dataset.py	62	# If no divisor specified, just use integer division	COMMENT

Cross-Language Confusion1 hit · 2 pts

Severity	File	Line	Snippet	Context
HIGH	timm/models/naflexvit.py	1657	spatial reshape is undefined); with ``output_dict=True`` the result also carries 'patch_valid'	STRING

Slop Phrases1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	timm/models/xception.py	289	# The resize parameter of the validation transform should be 333, and make sure to center crop at 299x299	COMMENT

Verbosity Indicators1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	timm/data/naflex_transforms.py	261	# Step 1: Get the maximum allowed dimensions from sequence length constraint	COMMENT

Structural Annotation Overuse1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	timm/data/naflex_transforms.py	261	# Step 1: Get the maximum allowed dimensions from sequence length constraint	COMMENT

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings