sktime/sktime

35.1

Adjusted Score

35.1

Raw Score

100%

Time Factor

2026-07-11

Last Push

9.9K

Stars

Python

Language

405.2K

Lines of Code

1.8K

Files

6.3K

Pattern Hits

2026-07-14

Scan Date

0.79

HC Hit Rate

What These Metrics Mean

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

Score History

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

Severity Breakdown

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

CRITICAL 0HIGH 1408MEDIUM 1034LOW 3888

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 6330 distinct pattern matches across 19 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 Repetition1343 hits · 6715 pts

Severity	File	Line	Snippet	Context
HIGH	sktime/split/singlewindow.py	0	return the number of splits. since this splitter returns a single train/test split, this number is trivially 1. paramete	STRING
HIGH	sktime/split/temporal_train_test_split.py	0	return the number of splits. since this splitter returns a single train/test split, this number is trivially 1. paramete	STRING
HIGH	sktime/split/cutoff.py	0	return the number of splits. since this splitter returns a single train/test split, this number is trivially 1. paramete	STRING
HIGH	sktime/split/singlewindow.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/temporal_train_test_split.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/cutoff.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/expandinggreedy.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/expandingcutoff.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/sameloc.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/expandingwindow.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/slidingwindow.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/testplustrain.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/compose/_repeat.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/split/instance.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	extension_templates/split.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/classification/dummy/_dummy.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/compose/_pipeline.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/param_est/compose/_pipeline.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/dists_kernels/dist_to_kern.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/dists_kernels/algebra.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/dists_kernels/indep.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	…me/regression/distance_based/_time_series_neighbors.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/regression/kernel_based/_rocket_regressor.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/forecasting/theta.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/forecasting/compose/_hierarchy_ensemble.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/forecasting/compose/_column_ensemble.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/performance_metrics/detection/_chamfer.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/performance_metrics/detection/_count.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/performance_metrics/detection/_f1score.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/performance_metrics/detection/_ts_auprc.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/classification/dictionary_based/_boss_pyts.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	…e/classification/deep_learning/mcdcnn/_mcdcnn_torch.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	…ation/distance_based/_time_series_neighbors_tslearn.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/classification/distance_based/_shape_dtw.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	…fication/distance_based/_time_series_neighbors_pyts.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/classification/kernel_based/_svc_tslearn.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	…ime/classification/shapelet_based/_learning_tslearn.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/classification/shapelet_based/_learning_pyts.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/hog1d.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/feature_selection.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/channel_selection.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/clasp.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/impute.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/truncation.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/catch22.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/subsequence_extraction.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/tsfresh.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/func_transform.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/adapt.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/filter.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/scaledlogit.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/scaledasinh.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/segment.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/acf.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/signature.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/outlier_detection.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/bootstrap/_splitterboot.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/bootstrap/_mbb.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/dictionary_based/_sax.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
HIGH	sktime/transformations/dictionary_based/_sfa.py	0	return testing parameter settings for the estimator. parameters ---------- parameter_set : str, default="default" name o	STRING
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Decorative Section Separators941 hits · 3016 pts

Severity	File	Line	Snippet	Context
MEDIUM	sktime/split/base/_base_splitter.py	102	# -----------------	STRING
MEDIUM	sktime/classification/ensemble/_weighted.py	89	# --------------	COMMENT
MEDIUM	sktime/classification/ensemble/_weighted.py	92	# --------------	COMMENT
MEDIUM	sktime/classification/ensemble/_bagging.py	82	# --------------	COMMENT
MEDIUM	sktime/classification/ensemble/_bagging.py	85	# --------------	COMMENT
MEDIUM⚡	sktime/classification/ensemble/_ctsf.py	205	# --------------	COMMENT
MEDIUM⚡	sktime/classification/ensemble/_ctsf.py	210	# --------------	COMMENT
MEDIUM⚡	sktime/classification/ensemble/_ctsf.py	213	# --------------	COMMENT
MEDIUM⚡	sktime/classification/dummy/_dummy.py	77	# --------------	COMMENT
MEDIUM⚡	sktime/classification/dummy/_dummy.py	81	# --------------	COMMENT
MEDIUM⚡	sktime/classification/dummy/_dummy.py	90	# -----------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_boss_pyts.py	103	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_boss_pyts.py	107	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_weasel.py	125	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_weasel.py	130	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_muse.py	122	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_muse.py	127	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_boss.py	134	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_boss.py	138	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_boss.py	561	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_boss.py	565	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_tde.py	152	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_tde.py	156	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_tde.py	693	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_tde.py	697	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_cboss.py	134	# --------------	COMMENT
MEDIUM	sktime/classification/dictionary_based/_cboss.py	139	# --------------	COMMENT
MEDIUM	sktime/classification/compose/_multiplexer.py	69	# -----------------	COMMENT
MEDIUM	sktime/classification/compose/_pipeline.py	109	# -----------------	COMMENT
MEDIUM	sktime/classification/compose/_pipeline.py	465	# -----------------	COMMENT
MEDIUM	sktime/classification/compose/_column_ensemble.py	28	# -----------------	COMMENT
MEDIUM	sktime/classification/deep_learning/fcn.py	74	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/mvts_transformer.py	85	# --------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/convtimenet.py	99	# --------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/convtimenet.py	104	# --------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/convtimenet.py	108	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/resnet.py	66	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/cntc.py	105	# ---------------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/gru.py	66	# --------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/gru.py	72	# --------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/gru.py	77	# ---------------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/gru.py	280	# --------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/gru.py	286	# --------------	COMMENT
MEDIUM⚡	sktime/classification/deep_learning/gru.py	291	# ---------------------	COMMENT
MEDIUM⚡	…ation/deep_learning/inceptiontime/_inceptiontime_tf.py	106	# --------------	COMMENT
MEDIUM⚡	…ation/deep_learning/inceptiontime/_inceptiontime_tf.py	111	# ------------	COMMENT
MEDIUM⚡	…ation/deep_learning/inceptiontime/_inceptiontime_tf.py	114	# ---------------------	COMMENT
MEDIUM	…on/deep_learning/inceptiontime/_inceptiontime_torch.py	176	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/cnn/_cnn_tf.py	89	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/cnn/_cnn_tf.py	97	# ---------------------	COMMENT
MEDIUM	…me/classification/deep_learning/lstmfcn/_lstmfcn_tf.py	75	# --------------	COMMENT
MEDIUM	…classification/deep_learning/lstmfcn/_lstmfcn_torch.py	134	# --------------	COMMENT
MEDIUM	…ime/classification/deep_learning/macnn/_macnn_torch.py	127	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/macnn/_macnn_tf.py	87	# --------------	COMMENT
MEDIUM	…time/classification/deep_learning/tapnet/_tapnet_tf.py	92	# --------------	COMMENT
MEDIUM	…assification/deep_learning/convtran/_convtran_torch.py	132	# ----------------	COMMENT
MEDIUM	…time/classification/deep_learning/mcdcnn/_mcdcnn_tf.py	83	# --------------	COMMENT
MEDIUM	…e/classification/deep_learning/mcdcnn/_mcdcnn_torch.py	129	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/rnn/_rnn_tf.py	68	# --------------	COMMENT
MEDIUM	sktime/classification/deep_learning/rnn/_rnn_torch.py	130	# --------------	COMMENT
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Hyper-Verbose Identifiers1458 hits · 1479 pts

Severity	File	Line	Snippet	Context
LOW	sktime/split/temporal_train_test_split.py	20	def temporal_train_test_split(	CODE
LOW	sktime/split/tests/test_split.py	58	def _check_cutoffs_against_test_windows(cutoffs, windows, fh, y):	CODE
LOW	sktime/split/tests/test_split.py	75	def _check_cutoffs_against_train_windows(cutoffs, windows, y):	CODE
LOW	sktime/split/tests/test_split.py	104	def _get_n_incomplete_windows(window_length, step_length) -> int:	CODE
LOW	sktime/split/tests/test_split.py	120	def test_window_splitter_in_sample_fh_smaller_than_window_length(CV):	CODE
LOW	sktime/split/tests/test_split.py	138	def test_window_splitter_in_sample_fh_greater_than_window_length(CV):	CODE
LOW	sktime/split/tests/test_slidinggreedy.py	18	def test_sliding_greedy_splitter_lengths():	CODE
LOW	sktime/split/tests/test_slidinggreedy.py	31	def test_sliding_greedy_splitter_forecast_horizon():	CODE
LOW	sktime/split/tests/test_slidinggreedy.py	54	def test_sliding_greedy_splitter_indices():	CODE
LOW	sktime/split/tests/test_slidinggreedy.py	77	def test_sliding_greedy_splitter_dates():	CODE
LOW	sktime/split/tests/test_slidinggreedy.py	143	def test_sliding_greedy_splitter_hierarchy():	CODE
LOW	sktime/split/tests/test_slidinggreedy.py	204	def test_sliding_greedy_splitter_consecutive():	CODE
LOW	sktime/split/tests/test_slidinggreedy.py	237	def test_sliding_greedy_splitter_step_length():	CODE
LOW	sktime/split/tests/test_slidingwindow.py	32	def test_sliding_window_splitter(y, fh, window_length, step_length):	CODE
LOW	sktime/split/tests/test_slidingwindow.py	68	def test_sliding_window_splitter_with_initial_window(	CODE
LOW	sktime/split/tests/test_slidingwindow.py	110	def test_sliding_window_splitter_start_with_empty_window(	CODE
LOW	sktime/split/tests/test_slidingwindow.py	150	def test_sliding_window_splitter_initial_window_start_with_empty_window_raises_error():	CODE
LOW	sktime/split/tests/test_slidingwindow.py	167	def test_sliding_window_splitter_initial_window_smaller_than_window_raise_error():	CODE
LOW	sktime/split/tests/test_sameloc.py	48	def test_same_loc_splitter_hierarchical():	CODE
LOW	sktime/split/tests/test_expandinggreedy.py	18	def test_expanding_greedy_splitter_lengths():	CODE
LOW	sktime/split/tests/test_expandinggreedy.py	31	def test_expanding_greedy_splitter_dates():	CODE
LOW	sktime/split/tests/test_expandinggreedy.py	59	def test_expanding_greedy_splitter_hierarchy():	CODE
LOW	sktime/split/tests/test_expandinggreedy.py	91	def test_expanding_greedy_splitter_consecutive():	CODE
LOW	sktime/split/tests/test_expandinggreedy.py	120	def test_expanding_greedy_splitter_forecast_horizon():	CODE
LOW	sktime/split/tests/test_cutoff.py	30	def test_cutoff_window_splitter(y, cutoffs, fh, window_length):	CODE
LOW	sktime/split/tests/test_temporaltraintest.py	21	def _check_train_test_split_y(fh, split):	CODE
LOW	sktime/split/tests/test_temporaltraintest.py	63	def test_temporal_train_test_split_float_only_y():	CODE
LOW	sktime/split/tests/test_temporaltraintest.py	105	def test_temporal_train_test_split_int_only_y():	CODE
LOW	sktime/split/tests/test_temporaltraintest.py	141	def test_temporal_train_test_split_hierarchical():	CODE
LOW	sktime/split/tests/test_singlewindow.py	29	def test_single_window_splitter(y, fh, window_length):	CODE
LOW	sktime/split/tests/test_singlewindow.py	62	def test_single_window_splitter_default_window_length(y, fh):	CODE
LOW	sktime/split/tests/test_expandingcutoff.py	242	def test_expanding_cutoff_docstring_examples():	CODE
LOW	sktime/split/tests/test_expandingcutoff.py	293	def test_expandingcutoff_step_length():	CODE
LOW	sktime/split/tests/test_expandingwindow.py	40	def test_expanding_window_splitter_start_with_initial_window_zero(y, fh, step_length):	CODE
LOW	sktime/split/tests/test_expandingwindow.py	70	def test_expanding_window_splitter_start_with_empty_window(	CODE
LOW	sktime/split/tests/test_expandingwindow.py	104	def test_expanding_window_splitter(y, fh, initial_window, step_length):	CODE
LOW	sktime/split/base/_common.py	69	def _check_inputs_for_compatibility(args: list) -> None:	CODE
LOW	sktime/split/base/_common.py	124	def _get_train_window_via_endpoint(y, train_endpoint, window_length):	CODE
LOW	sktime/split/base/_base_windowsplitter.py	147	def _split_for_initial_window(self, y: pd.Index) -> SPLIT_ARRAY_TYPE:	CODE
LOW	sktime/split/base/tests/test_base.py	95	def test_hierarchical_singlewindowsplitter():	CODE
LOW	sktime/split/base/tests/test_base.py	110	def test_windowbase_splitter_get_n_split_hierarchical(	CODE
LOW	sktime/split/base/tests/test_base.py	125	def test_windowbase_splitter_get_n_split_unequal_series(y, CV):	CODE
LOW	sktime/classification/ensemble/_ctsf.py	524	def _set_oob_score_and_attributes(self, X, y):	CODE
LOW	sktime/classification/ensemble/tests/test_ensemble.py	63	def test_equivalent_model_specifications(n_intervals, n_estimators):	CODE
LOW	sktime/classification/model_evaluation/_functions.py	24	def _is_proba_classification_score(metric) -> bool:	CODE
LOW	sktime/classification/model_evaluation/_functions.py	114	def _get_column_order_and_datatype(	CODE
LOW	sktime/classification/model_evaluation/_functions.py	147	def _get_pred_args_from_metric(scitype, metric):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	35	def test_evaluate_basic_functionality(self):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	61	def test_evaluate_with_multiple_metrics(self):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	81	def test_evaluate_with_probabilistic_metrics(self):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	99	def test_evaluate_with_return_data(self):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	124	def test_evaluate_different_cv_splits(self):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	141	def test_evaluate_with_different_classifiers(self):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	162	def test_evaluate_timing_measurements(self):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	180	def test_evaluate_parallel_backend(self, backend):	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	203	def test_evaluate_parallel_backend_none(self):	CODE
LOW	sktime/classification/dictionary_based/_tde_numba.py	14	def _histogram_intersection_dict(first, second):	CODE
LOW	sktime/classification/dictionary_based/_muse.py	341	def _add_first_order_differences(self, X):	CODE
LOW	sktime/classification/dictionary_based/_muse.py	389	def _parallel_transform_words(X, window_sizes, SFA_transformers, ind):	CODE
LOW	…ime/classification/dictionary_based/tests/test_boss.py	35	def test_individual_boss_classes(dataset, new_class, expected_dtype):	CODE
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Unused Imports803 hits · 756 pts

Severity	File	Line	Context
LOW	sktime/__init__.py	10	CODE
LOW	sktime/exceptions.py	8	CODE
LOW	sktime/split/__init__.py	23	CODE
LOW	sktime/split/__init__.py	23	CODE
LOW	sktime/split/__init__.py	24	CODE
LOW	sktime/split/__init__.py	24	CODE
LOW	sktime/split/__init__.py	25	CODE
LOW	sktime/split/__init__.py	26	CODE
LOW	sktime/split/__init__.py	27	CODE
LOW	sktime/split/__init__.py	28	CODE
LOW	sktime/split/__init__.py	29	CODE
LOW	sktime/split/__init__.py	30	CODE
LOW	sktime/split/__init__.py	31	CODE
LOW	sktime/split/__init__.py	32	CODE
LOW	sktime/split/__init__.py	33	CODE
LOW	sktime/split/__init__.py	34	CODE
LOW	sktime/split/__init__.py	35	CODE
LOW	sktime/split/__init__.py	35	CODE
LOW	sktime/split/__init__.py	39	CODE
LOW	sktime/split/compose/__init__.py	7	CODE
LOW	sktime/split/base/__init__.py	10	CODE
LOW	sktime/split/base/__init__.py	11	CODE
LOW	sktime/classification/__init__.py	7	CODE
LOW	sktime/classification/ensemble/__init__.py	11	CODE
LOW	sktime/classification/ensemble/__init__.py	12	CODE
LOW	sktime/classification/ensemble/__init__.py	13	CODE
LOW	sktime/classification/dummy/__init__.py	7	CODE
LOW	sktime/classification/model_evaluation/__init__.py	7	CODE
LOW	sktime/classification/dictionary_based/__init__.py	14	CODE
LOW	sktime/classification/dictionary_based/__init__.py	14	CODE
LOW	sktime/classification/dictionary_based/__init__.py	15	CODE
LOW	sktime/classification/dictionary_based/__init__.py	16	CODE
LOW	sktime/classification/dictionary_based/__init__.py	17	CODE
LOW	sktime/classification/dictionary_based/__init__.py	18	CODE
LOW	sktime/classification/dictionary_based/__init__.py	18	CODE
LOW	sktime/classification/dictionary_based/__init__.py	22	CODE
LOW	sktime/classification/compose/__init__.py	15	CODE
LOW	sktime/classification/compose/__init__.py	16	CODE
LOW	sktime/classification/compose/__init__.py	17	CODE
LOW	sktime/classification/compose/__init__.py	17	CODE
LOW	sktime/classification/early_classification/__init__.py	9	CODE
LOW	sktime/classification/early_classification/__init__.py	12	CODE
LOW	sktime/classification/early_classification/__init__.py	13	CODE
LOW	sktime/classification/deep_learning/__init__.py	27	CODE
LOW	sktime/classification/deep_learning/__init__.py	27	CODE
LOW	sktime/classification/deep_learning/__init__.py	31	CODE
LOW	sktime/classification/deep_learning/__init__.py	32	CODE
LOW	sktime/classification/deep_learning/__init__.py	33	CODE
LOW	sktime/classification/deep_learning/__init__.py	34	CODE
LOW	sktime/classification/deep_learning/__init__.py	34	CODE
LOW	sktime/classification/deep_learning/__init__.py	38	CODE
LOW	sktime/classification/deep_learning/__init__.py	38	CODE
LOW	sktime/classification/deep_learning/__init__.py	42	CODE
LOW	sktime/classification/deep_learning/__init__.py	43	CODE
LOW	sktime/classification/deep_learning/__init__.py	43	CODE
LOW	sktime/classification/deep_learning/__init__.py	47	CODE
LOW	sktime/classification/deep_learning/__init__.py	47	CODE
LOW	sktime/classification/deep_learning/__init__.py	51	CODE
LOW	sktime/classification/deep_learning/__init__.py	52	CODE
LOW	sktime/classification/deep_learning/__init__.py	55	CODE
743 more matches not shown…

Modern Structural Boilerplate647 hits · 648 pts

Severity	File	Line	Snippet	Context
LOW	sktime/__init__.py	8	__all__ = ["show_versions"]	CODE
LOW	sktime/exceptions.py	6	__all__ = ["NotEvaluatedError", "NotFittedError", "FitFailedWarning"]	CODE
LOW	sktime/split/singlewindow.py	7	__all__ = [	CODE
LOW	sktime/split/instance.py	7	__all__ = [	CODE
LOW	sktime/split/slidinggreedy.py	7	__all__ = [	CODE
LOW	sktime/split/temporal_train_test_split.py	5	__all__ = [	CODE
LOW	sktime/split/cutoff.py	7	__all__ = [	CODE
LOW	sktime/split/expandinggreedy.py	7	__all__ = [	CODE
LOW	sktime/split/expandingcutoff.py	7	__all__ = [	CODE
LOW	sktime/split/sameloc.py	7	__all__ = [	CODE
LOW	sktime/split/expandingwindow.py	7	__all__ = [	CODE
LOW	sktime/split/__init__.py	3	__all__ = [	CODE
LOW	sktime/split/slidingwindow.py	7	__all__ = [	CODE
LOW	sktime/split/_legacy_splitters.py	10	__all__ = ["PresplitFilesCV", "SingleSplit"]	CODE
LOW	sktime/split/testplustrain.py	7	__all__ = ["TestPlusTrainSplitter"]	CODE
LOW	sktime/split/expandingslidingwindow.py	7	__all__ = [	CODE
LOW	sktime/split/compose/__init__.py	5	__all__ = ["Repeat"]	CODE
LOW	sktime/split/base/__init__.py	5	__all__ = [	CODE
LOW	sktime/classification/_delegate.py	11	__all__ = ["_DelegatedClassifier"]	CODE
LOW	sktime/classification/__init__.py	3	__all__ = [	CODE
LOW	sktime/classification/base.py	20	__all__ = [	CODE
LOW	sktime/classification/ensemble/_weighted.py	4	__all__ = ["WeightedEnsembleClassifier"]	CODE
LOW	sktime/classification/ensemble/_bagging.py	4	__all__ = ["BaggingClassifier"]	CODE
LOW	sktime/classification/ensemble/__init__.py	5	__all__ = [	CODE
LOW	sktime/classification/ensemble/_ctsf.py	4	__all__ = ["ComposableTimeSeriesForestClassifier"]	CODE
LOW	sktime/classification/dummy/__init__.py	3	__all__ = [	CODE
LOW	sktime/classification/dummy/_dummy.py	4	__all__ = ["DummyClassifier"]	CODE
LOW	sktime/classification/model_evaluation/_functions.py	6	__all__ = ["evaluate"]	CODE
LOW	sktime/classification/model_evaluation/__init__.py	5	__all__ = ["evaluate"]	CODE
LOW	…classification/model_evaluation/tests/test_evaluate.py	11	__all__ = ["TestEvaluate"]	CODE
LOW	sktime/classification/dictionary_based/__init__.py	3	__all__ = [	CODE
LOW	sktime/classification/dictionary_based/_boss_pyts.py	6	__all__ = ["BOSSVSClassifierPyts"]	CODE
LOW	sktime/classification/dictionary_based/_weasel.py	7	__all__ = ["WEASEL"]	CODE
LOW	sktime/classification/dictionary_based/_muse.py	8	__all__ = ["MUSE"]	CODE
LOW	sktime/classification/dictionary_based/_boss.py	8	__all__ = ["BOSSEnsemble", "IndividualBOSS", "pairwise_distances"]	CODE
LOW	sktime/classification/dictionary_based/_tde.py	8	__all__ = ["TemporalDictionaryEnsemble", "IndividualTDE", "histogram_intersection"]	CODE
LOW	sktime/classification/dictionary_based/_cboss.py	9	__all__ = ["ContractableBOSS", "pairwise_distances"]	CODE
LOW	sktime/classification/compose/_multiplexer.py	12	__all__ = ["MultiplexClassifier"]	CODE
LOW	sktime/classification/compose/__init__.py	6	__all__ = [	CODE
LOW	sktime/classification/compose/_pipeline.py	12	__all__ = ["ClassifierPipeline", "SklearnClassifierPipeline"]	CODE
LOW	sktime/classification/compose/_column_ensemble.py	7	__all__ = ["ColumnEnsembleClassifier"]	CODE
LOW	sktime/classification/compose/tests/test_pipeline.py	5	__all__ = []	CODE
LOW	…ime/classification/tests/test_sklearn_compatibility.py	4	__all__ = [	CODE
LOW	sktime/classification/early_classification/_teaser.py	8	__all__ = ["TEASER"]	CODE
LOW	sktime/classification/early_classification/__init__.py	3	__all__ = [	CODE
LOW	…ication/early_classification/_probability_threshold.py	8	__all__ = ["ProbabilityThresholdEarlyClassifier"]	CODE
LOW	sktime/classification/early_classification/base.py	24	__all__ = [	CODE
LOW	sktime/classification/deep_learning/fcn.py	3	__all__ = ["FCNClassifier"]	CODE
LOW	sktime/classification/deep_learning/__init__.py	3	__all__ = [	CODE
LOW	sktime/classification/deep_learning/convtimenet.py	4	__all__ = ["ConvTimeNetClassifier"]	CODE
LOW	sktime/classification/deep_learning/_pytorch.py	6	__all__ = ["BaseDeepClassifierPytorch"]	CODE
LOW	sktime/classification/deep_learning/resnet.py	3	__all__ = ["ResNetClassifier"]	CODE
LOW	sktime/classification/deep_learning/cntc.py	3	__all__ = ["CNTCClassifier"]	CODE
LOW	…classification/deep_learning/inceptiontime/__init__.py	7	__all__ = [	CODE
LOW	…ation/deep_learning/inceptiontime/_inceptiontime_tf.py	3	__all__ = ["InceptionTimeClassifier"]	CODE
LOW	…on/deep_learning/inceptiontime/_inceptiontime_torch.py	4	__all__ = ["InceptionTimeClassifierTorch"]	CODE
LOW	sktime/classification/deep_learning/cnn/_cnn_tf.py	3	__all__ = ["CNNClassifier"]	CODE
LOW	sktime/classification/deep_learning/cnn/__init__.py	7	__all__ = [	CODE
LOW	sktime/classification/deep_learning/cnn/_cnn_torch.py	3	__all__ = ["CNNClassifierTorch"]	CODE
LOW	sktime/classification/deep_learning/lstmfcn/__init__.py	7	__all__ = [	CODE
587 more matches not shown…

Cross-Language Confusion65 hits · 358 pts

Severity	File	Line	Snippet	Context
HIGH	…ication/early_classification/_probability_threshold.py	231	# if we have the full series, always return true	COMMENT
HIGH	sktime/transformations/dobin.py	209	if not X.index.equals(self._X.index):	CODE
HIGH	…e/transformations/hierarchical/tests/test_aggregate.py	45	assert X_agg.equals(X_agg_unnamed), msg	CODE
HIGH	…mations/hierarchical/tests/reconcile/test_reconcile.py	105	assert not y_reconc.equals(y)	CODE
HIGH⚡	sktime/transformations/bootstrap/tests/test_mbb.py	116	assert expected_index.equals(y_hat.index) and (y_hat.columns[0] == y.name)	CODE
HIGH	sktime/transformations/bootstrap/tests/test_mbb.py	137	y_hat.index.equals(y_index)	CODE
HIGH	sktime/transformations/compose/_arithmetic.py	140	if not Xt.index.equals(first_index):	CODE
HIGH	sktime/transformations/compose/_arithmetic.py	142	if not Xt.columns.equals(first_columns):	CODE
HIGH⚡	sktime/transformations/tests/test_subset.py	28	assert X_subset.index.equals(X.index.intersection(y.index))	CODE
HIGH⚡	sktime/transformations/tests/test_subset.py	30	assert X_subset.index.equals(y.index)	CODE
HIGH	sktime/transformations/tests/test_subset.py	50	assert X_subset.columns.equals(col_X_and_cols)	CODE
HIGH	sktime/transformations/tests/test_subset.py	52	assert X_subset.columns.equals(columns_idx)	CODE
HIGH	sktime/transformations/tests/test_subset.py	66	assert X_subset.columns.equals(X.columns[[0, 2, 4]])	CODE
HIGH	sktime/transformations/tests/test_all_reconcilers.py	123	assert Xt.equals(X)	CODE
HIGH	sktime/transformations/tests/test_all_reconcilers.py	126	assert Xinv.equals(X)	CODE
HIGH	sktime/transformations/tests/test_adapt.py	45	assert expected_result.equals(trafo_result)	CODE
HIGH⚡	sktime/transformations/tests/test_hampelfilter.py	26	assert result.equals(expected_result)	CODE
HIGH	sktime/transformations/tests/test_hampelfilter.py	50	assert result.equals(expected_result)	CODE
HIGH	sktime/transformations/tests/test_lag.py	45	assert Xt.index.equals(X.index)	CODE
HIGH	sktime/transformations/tests/test_degree_day.py	108	assert out.index.equals(X.index)	CODE
HIGH	sktime/transformations/tests/test_dummies.py	35	assert X.equals(X_expected), "Test failed: X does not match X_expected."	CODE
HIGH	sktime/transformations/detrend/_deseasonalize.py	572	if not X.index.equals(self._X.index):	CODE
HIGH	sktime/transformations/detrend/mstl.py	264	if not X.index.equals(self._X.index):	CODE
HIGH	…me/transformations/detrend/tests/test_deseasonalise.py	138	assert X.index.equals(Xit.index)	CODE
HIGH⚡	sktime/datatypes/tests/test_utils.py	472	assert y_new.equals(y)	CODE
HIGH⚡	sktime/datatypes/tests/test_utils.py	473	assert y_new.index.equals(y.index)	CODE
HIGH⚡	sktime/datatypes/tests/test_utils.py	476	assert y.index.equals(y_new.index.to_period().to_timestamp())	CODE
HIGH	sktime/datatypes/tests/test_panel_converters.py	108	assert array.index.equals(nested.index)	CODE
HIGH	sktime/datatypes/_adapter/tests/test_polars.py	48	assert pd_fixture.equals(pd_fixture_orig)	CODE
HIGH	sktime/datatypes/_adapter/tests/test_polars.py	67	assert pd_fixture.equals(pd_fixture_orig)	CODE
HIGH⚡	sktime/datatypes/_adapter/tests/test_polars.py	87	assert pd_result.equals(pd_fixture)	CODE
HIGH⚡	sktime/datatypes/_adapter/tests/test_polars.py	100	assert pd_result.equals(pd_fixture)	CODE
HIGH	sktime/datatypes/_adapter/tests/test_dask_pd.py	65	assert pd_fixture.equals(pd_fixture_orig)	CODE
HIGH	sktime/datatypes/_adapter/tests/test_dask_pd.py	84	assert pd_fixture.equals(pd_fixture_orig)	CODE
HIGH	sktime/datatypes/_adapter/tests/test_dask_pd.py	103	assert pd_fixture.equals(back_result)	CODE
HIGH	sktime/utils/deep_equals/_deep_equals.py	279	return ret(x.equals(y), ".polars_equals")	CODE
HIGH	sktime/utils/_testing/forecasting.py	135	assert y_pred_index.equals(expected)	CODE
HIGH	sktime/utils/validation/series.py	268	failure_cond = not first_index.equals(y_index)	CODE
HIGH	sktime/libs/granite_ttm/modeling_tinytimemixer.py	570	(typically derived from register tokens): [x \|\| context].	STRING
HIGH	sktime/dists_kernels/scipy_dist.py	112	if not X.columns.equals(X2.columns):	CODE
HIGH	sktime/benchmarking/tests/test_evaluator.py	132	assert expected_ranks.equals(generated_ranks)	CODE
HIGH	sktime/benchmarking/tests/test_evaluator.py	151	assert metrics_by_strategy.equals(expected_accuracy)	CODE
HIGH	…asting/compose/tests/test_groupbycategoryforecaster.py	75	assert output.equals(transform_output)	CODE
HIGH	sktime/forecasting/tests/test_reconcile.py	81	assert prds_recon.equals(reconciler_unnamed.fit_predict(y=y, fh=fh)), msg	CODE
HIGH	sktime/forecasting/tests/test_reconcile.py	176	assert y_test.index.equals(y_pred.index)	CODE
HIGH	sktime/forecasting/tests/test_exp_smoothing.py	90	assert y_pred.equals(y_pred_update), "Expected same predictions after update"	CODE
HIGH	sktime/forecasting/base/_base.py	2764	if not y_pred.columns.equals(ycols):	CODE
HIGH⚡	sktime/forecasting/base/tests/test_fh.py	953	assert y_pred_idx.equals(pd.Index([5, 6, 7]))	CODE
HIGH⚡	sktime/forecasting/base/tests/test_fh.py	958	assert y_pred_idx.equals(pd.Index([5, 6, 7]))	CODE
HIGH⚡	sktime/forecasting/base/tests/test_fh.py	967	assert y_pred_idx.equals(y_pred_idx_expected)	CODE
HIGH⚡	sktime/forecasting/base/tests/test_fh.py	973	assert y_pred_idx.equals(y_pred_idx_expected)	CODE
HIGH	sktime/forecasting/base/tests/test_fh.py	52	assert a.equals(b)	CODE
HIGH	sktime/forecasting/base/tests/test_fh.py	193	fh_oos = fh.to_pandas()[fh_relative > null]	CODE
HIGH	sktime/forecasting/base/tests/test_fh.py	195	fh_ins = fh.to_pandas()[fh_relative <= null]	CODE
HIGH	sktime/forecasting/base/tests/test_fh.py	984	assert y_pred_idx.equals(y_pred_idx_expected)	CODE
HIGH	sktime/forecasting/base/tests/test_fh.py	991	assert y_pred_idx.equals(y_pred_idx_expected)	CODE
HIGH	sktime/forecasting/base/tests/test_base.py	411	assert y_resid.index.equals(y_train.index)	CODE
HIGH	sktime/forecasting/base/tests/test_base.py	538	assert y_pred.equals(y_pred_update), "Expected same predictions after update."	CODE
HIGH	sktime/performance_metrics/forecasting/_base.py	645	same_rows = y_true.index.equals(y_pred.index)	CODE
HIGH	sktime/performance_metrics/forecasting/_base.py	647	same_cols = y_true.columns.equals(y_pred.columns)	CODE
5 more matches not shown…

AI Structural Patterns336 hits · 330 pts

Severity	File	Line	Context
LOW	sktime/classification/ensemble/_ctsf.py	219	CODE
LOW	sktime/classification/model_evaluation/_functions.py	260	CODE
LOW	sktime/classification/model_evaluation/_functions.py	263	CODE
LOW	sktime/classification/dictionary_based/_boss_pyts.py	127	CODE
LOW	sktime/classification/dictionary_based/_weasel.py	138	CODE
LOW	sktime/classification/dictionary_based/_muse.py	137	CODE
LOW	sktime/classification/dictionary_based/_boss.py	147	CODE
LOW	sktime/classification/dictionary_based/_boss.py	571	CODE
LOW	sktime/classification/dictionary_based/_tde.py	167	CODE
LOW	sktime/classification/dictionary_based/_tde.py	704	CODE
LOW	sktime/classification/dictionary_based/_cboss.py	149	CODE
LOW	sktime/classification/deep_learning/fcn.py	82	CODE
LOW	sktime/classification/deep_learning/mvts_transformer.py	90	CODE
LOW	sktime/classification/deep_learning/convtimenet.py	117	CODE
LOW	sktime/classification/deep_learning/_pytorch.py	33	CODE
LOW	sktime/classification/deep_learning/resnet.py	81	CODE
LOW	sktime/classification/deep_learning/cntc.py	117	CODE
LOW	sktime/classification/deep_learning/gru.py	81	CODE
LOW	sktime/classification/deep_learning/gru.py	295	CODE
LOW	…ation/deep_learning/inceptiontime/_inceptiontime_tf.py	120	CODE
LOW	…on/deep_learning/inceptiontime/_inceptiontime_torch.py	191	CODE
LOW	sktime/classification/deep_learning/cnn/_cnn_tf.py	103	CODE
LOW	sktime/classification/deep_learning/cnn/_cnn_torch.py	129	CODE
LOW	…me/classification/deep_learning/lstmfcn/_lstmfcn_tf.py	82	CODE
LOW	…classification/deep_learning/lstmfcn/_lstmfcn_torch.py	143	CODE
LOW	…ime/classification/deep_learning/macnn/_macnn_torch.py	136	CODE
LOW	sktime/classification/deep_learning/macnn/_macnn_tf.py	94	CODE
LOW	…time/classification/deep_learning/tapnet/_tapnet_tf.py	110	CODE
LOW	…e/classification/deep_learning/tapnet/_tapnet_torch.py	155	CODE
LOW	…assification/deep_learning/convtran/_convtran_torch.py	136	CODE
LOW	…time/classification/deep_learning/mcdcnn/_mcdcnn_tf.py	97	CODE
LOW	…e/classification/deep_learning/mcdcnn/_mcdcnn_torch.py	136	CODE
LOW	sktime/classification/deep_learning/base/_base_torch.py	147	CODE
LOW	sktime/classification/deep_learning/rnn/_rnn_tf.py	82	CODE
LOW	sktime/classification/deep_learning/rnn/_rnn_torch.py	139	CODE
LOW	sktime/classification/deep_learning/mlp/_mlp_tf.py	90	CODE
LOW	sktime/classification/deep_learning/mlp/_mlp_torch.py	152	CODE
LOW	sktime/classification/interval_based/_cif.py	136	CODE
LOW	sktime/classification/interval_based/_cif.py	259	CODE
LOW	sktime/classification/interval_based/_stsf.py	245	CODE
LOW	sktime/classification/interval_based/_tsf.py	209	CODE
LOW	sktime/classification/interval_based/_drcif.py	159	CODE
LOW	sktime/classification/interval_based/_drcif.py	418	CODE
LOW	sktime/classification/sklearn/_rotation_forest.py	115	CODE
LOW	sktime/classification/sklearn/_rotation_forest.py	328	CODE
LOW	sktime/classification/model_selection/_tune.py	253	CODE
LOW	…/classification/feature_based/_signature_classifier.py	118	CODE
LOW	…ime/classification/distance_based/_proximity_forest.py	1367	CODE
LOW	…ime/classification/distance_based/_elastic_ensemble.py	104	CODE
LOW	…lassification/distance_based/_time_series_neighbors.py	159	CODE
LOW	…fication/distance_based/_time_series_neighbors_pyts.py	127	CODE
LOW	sktime/classification/kernel_based/_svc_tslearn.py	150	CODE
LOW	sktime/classification/kernel_based/_svc.py	139	CODE
LOW	sktime/classification/kernel_based/_arsenal.py	130	CODE
LOW	sktime/classification/foundation_models/mantis.py	115	CODE
LOW	sktime/classification/foundation_models/tspulse.py	149	CODE
LOW	sktime/classification/foundation_models/momentfm.py	145	CODE
LOW	sktime/classification/hybrid/_hivecote_v2.py	106	CODE
LOW	sktime/classification/shapelet_based/_mrsqm.py	66	CODE
LOW	…ime/classification/shapelet_based/_learning_tslearn.py	114	CODE
276 more matches not shown…

Deep Nesting284 hits · 280 pts

Severity	File	Line	Context
LOW	sktime/split/compose/_repeat.py	105	CODE
LOW	sktime/classification/ensemble/_weighted.py	173	CODE
LOW	sktime/classification/model_evaluation/_functions.py	158	CODE
LOW	sktime/classification/dictionary_based/_boss.py	181	CODE
LOW	sktime/classification/dictionary_based/_boss.py	356	CODE
LOW	sktime/classification/dictionary_based/_tde.py	458	CODE
LOW	sktime/classification/dictionary_based/_tde.py	528	CODE
LOW	sktime/classification/dictionary_based/_tde.py	789	CODE
LOW	sktime/classification/dictionary_based/_tde.py	870	CODE
LOW	sktime/classification/dictionary_based/_cboss.py	187	CODE
LOW	sktime/classification/compose/_column_ensemble.py	401	CODE
LOW	sktime/classification/compose/_column_ensemble.py	103	CODE
LOW	sktime/classification/tests/test_all_classifiers.py	171	CODE
LOW	sktime/classification/deep_learning/base/_base_torch.py	245	CODE
LOW	sktime/classification/deep_learning/base/_base_torch.py	335	CODE
LOW	sktime/classification/deep_learning/base/_base_torch.py	495	CODE
LOW	sktime/classification/deep_learning/base/_base_tf.py	135	CODE
LOW	sktime/classification/deep_learning/base/_base_tf.py	176	CODE
LOW	sktime/classification/deep_learning/base/_base_tf.py	285	CODE
LOW	sktime/classification/deep_learning/rnn/_rnn_tf.py	174	CODE
LOW	sktime/classification/interval_based/_cif.py	358	CODE
LOW	sktime/classification/interval_based/_drcif.py	562	CODE
LOW	…me/classification/sklearn/_continuous_interval_tree.py	330	CODE
LOW	…ssification/sklearn/_continuous_interval_tree_numba.py	18	CODE
LOW	…ime/classification/distance_based/_proximity_forest.py	1758	CODE
LOW	…ime/classification/distance_based/_elastic_ensemble.py	145	CODE
LOW	…ime/classification/distance_based/_elastic_ensemble.py	443	CODE
LOW	sktime/classification/distance_based/_shape_dtw.py	386	CODE
LOW	sktime/classification/kernel_based/_arsenal.py	171	CODE
LOW	sktime/classification/foundation_models/momentfm.py	407	CODE
LOW	sktime/classification/foundation_models/momentfm.py	469	CODE
LOW	sktime/pipeline/step.py	93	CODE
LOW	sktime/pipeline/pipeline.py	235	CODE
LOW	sktime/pipeline/pipeline.py	323	CODE
LOW	sktime/transformations/binning.py	109	CODE
LOW	sktime/transformations/dropna.py	158	CODE
LOW	sktime/transformations/hidalgo.py	259	CODE
LOW	sktime/transformations/hidalgo.py	371	CODE
LOW	sktime/transformations/feature_selection.py	108	CODE
LOW	sktime/transformations/vmd.py	181	CODE
LOW	sktime/transformations/evoforest_tswm.py	237	CODE
LOW	sktime/transformations/evoforest_tswm.py	268	CODE
LOW	sktime/transformations/fabba.py	303	CODE
LOW	sktime/transformations/fabba.py	452	CODE
LOW	sktime/transformations/fabba.py	556	CODE
LOW	sktime/transformations/fabba.py	1098	CODE
LOW	sktime/transformations/impute.py	164	CODE
LOW	sktime/transformations/impute.py	207	CODE
LOW	sktime/transformations/adi_cv.py	164	CODE
LOW	sktime/transformations/catch22.py	135	CODE
LOW	sktime/transformations/catch22.py	503	CODE
LOW	sktime/transformations/adapt.py	259	CODE
LOW	sktime/transformations/time_since.py	132	CODE
LOW	sktime/transformations/time_since.py	218	CODE
LOW	sktime/transformations/dummies.py	138	CODE
LOW	sktime/transformations/segment.py	503	CODE
LOW	sktime/transformations/fourier.py	174	CODE
LOW	sktime/transformations/fourier.py	234	CODE
LOW	sktime/transformations/supervised_intervals.py	422	CODE
LOW	sktime/transformations/signature.py	116	CODE
224 more matches not shown…

Over-Commented Block219 hits · 200 pts

Severity	File	Line	Snippet	Context
LOW	pyproject.toml	61	"scikit-learn>=0.24,<1.8.0", # required for estimators and framework layer	COMMENT
LOW	sktime/classification/interval_based/_rise_numba.py	61	# i = lag - 1	COMMENT
LOW	…ime/classification/distance_based/_proximity_forest.py	461	"epsilon": stats.uniform(0.2 * stdp, stdp - 0.2 * stdp),	COMMENT
LOW	…ime/classification/distance_based/_proximity_forest.py	601	param_perm = {}	COMMENT
LOW	…ime/classification/distance_based/_elastic_ensemble.py	181		COMMENT
LOW	sktime/transformations/difference.py	141	lag_last = lags.pop()	COMMENT
LOW	sktime/transformations/fabba.py	1241	p.close()	COMMENT
LOW	sktime/transformations/time_since.py	241	# To support calculating integer time differences when `freq`	COMMENT
LOW	sktime/transformations/lag.py	301	Data to be inverse transformed	COMMENT
LOW	…ime/transformations/hierarchical/reconcile/_optimal.py	201	X_arr = P @ X_arr	COMMENT
LOW	sktime/transformations/hierarchical/reconcile/_utils.py	221		COMMENT
LOW	…sformations/hierarchical/tests/reconcile/test_utils.py	121	# Otherwise, do a broader check	COMMENT
LOW	…ns/hierarchical/tests/reconcile/test_full_hierarchy.py	41	reason="run test only if module has changed",	COMMENT
LOW	sktime/transformations/compose/_featureunion.py	61	"visual_block_kind": "parallel",	COMMENT
LOW	sktime/transformations/tests/test_all_transformers.py	261	# fit_args = _make_args(estimator, "fit")	COMMENT
LOW	…nsformations/shapelet_transform/_shapelet_transform.py	201	# x cases and y shapelets from each (where x = num_cases_to_sample	COMMENT
LOW	sktime/transformations/base/_base.py	141		COMMENT
LOW	sktime/transformations/base/_base.py	1201		COMMENT
LOW	sktime/transformations/base/_base.py	1401	elif self.get_tag("capability:unequal_length:adds"):	COMMENT
LOW	sktime/datasets/_readers_writers/utils.py	221	raise ValueError("Unknown 'split' value - should be TRAIN/train or TEST/test")	COMMENT
LOW	sktime/datasets/_readers_writers/utils.py	241	file.write(str(third_line) + "\n")	COMMENT
LOW	sktime/datasets/data/GunPoint/GunPoint_TEST.ts	1	#This dataset involves one female actor and one male actor making a	COMMENT
LOW	sktime/datasets/data/GunPoint/GunPoint_TRAIN.ts	1	#This dataset involves one female actor and one male actor making a	COMMENT
LOW	sktime/libs/timesfm/patched_decoder.py	1	# Copyright 2024 Google LLC	COMMENT
LOW	sktime/libs/timesfm/xreg_lib.py	1	# Copyright 2024 The Google Research Authors.	COMMENT
LOW	sktime/libs/timesfm/data_loader.py	1	# Copyright 2024 The Google Research Authors.	COMMENT
LOW	sktime/libs/timesfm/time_features.py	1	# Copyright 2024 The Google Research Authors.	COMMENT
LOW	sktime/libs/timesfm/timesfm.py	1	# Copyright 2024 Google LLC	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	321	# self.reduction = reduction	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	341	# dtype=None,	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	361	# return w	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	381	# # Safety: ensure Q matches pred.size(1) when using default taus	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	401	# if horizon_weights is not None:	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	421	# """	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	441	# """	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	461	# self,	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	481	# # Broadcast shapes	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	1921	#	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2701	# # quantiles around median	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2721	# super().__init__()	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2741	# self.dw = nn.Conv1d(1, 1, kernel_size=self.mq_kernel_size, padding=pad)	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2761	# self.mq_decoder_d_model,	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2781	# x = self.inorm(self.dw(x))	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2801	# # [B,C,P,D] → [B,C,P,md]	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2821	# up_raw = o[:, :, 5:9, :]	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2841	# q90 = q50 + up_cum[:, :, 3:4, :]	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2861		COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2881	# self.temperature_per_horizon = bool(	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2901	# hidden, 9, kernel_size=1, bias=True	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2921	# if self._temp_u is None:	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2941	# """	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2961	# down_inc = F.softplus(down_raw) + self.eps	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	2981		COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	3001	# Turn mean forecasts [B, C, T] into quantiles [B, C, 9, T] for q = 0.1..0.9.	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	3021	# ) # [bias50, 4down, 4up]	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	3041	# x = mean_hat.reshape(B * C, 1, T) # share weights across channels	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	3061	# down_cum = torch.cumsum(down_inc, dim=2)	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	4301	# self,	COMMENT
LOW	sktime/libs/granite_ttm/modeling_tinytimemixer.py	4321	# k = Q // 2 # median index	COMMENT
LOW	sktime/libs/timemoe/timemoe.py	1481		COMMENT
159 more matches not shown…

Self-Referential Comments65 hits · 188 pts

Severity	File	Line	Snippet	Context
MEDIUM	sktime/classification/deep_learning/convtimenet.py	68	>>> # Create a sample multivariate time series dataset	STRING
MEDIUM	…ime/classification/distance_based/_proximity_forest.py	537	# Create a new transformer instance to avoid pickling issues in parallel	COMMENT
MEDIUM	…ime/classification/distance_based/_proximity_forest.py	564	# Create a new transformer instance to avoid pickling issues in parallel	COMMENT
MEDIUM	sktime/classification/foundation_models/momentfm.py	265	# Create a OneCycleLR scheduler	COMMENT
MEDIUM	sktime/transformations/slope.py	147	# Create a list that contains 1,2,3,4,...,len(Y) for the x coordinates.	COMMENT
MEDIUM	sktime/transformations/adi_cv.py	147	# Initialize the parent class	STRING
MEDIUM	sktime/transformations/fourier.py	191	# Create the sp, k pairs	STRING
MEDIUM	sktime/transformations/padder.py	31	>>> # Create a sample nested DataFrame with unequal length time series	STRING
MEDIUM	…ime/transformations/hierarchical/reconcile/_optimal.py	288	# Define the objective	COMMENT
MEDIUM	…ime/transformations/hierarchical/reconcile/_optimal.py	354	# Create a DataFrame with the same row index and MultiIndex columns	COMMENT
MEDIUM	sktime/transformations/tests/test_differencer.py	298	# Define the TransformedTargetForecaster for y	COMMENT
MEDIUM	sktime/transformations/tests/test_differencer.py	306	# Create the ForecastingPipeline for y and X	COMMENT
MEDIUM⚡	sktime/transformations/tests/test_hampelfilter.py	19	# Create a sample time series with outliers	COMMENT
MEDIUM⚡	sktime/transformations/tests/test_hampelfilter.py	35	# Create a sample time series with outliers	COMMENT
MEDIUM	sktime/transformations/tests/test_base.py	770	# Define the multi-index	COMMENT
MEDIUM	sktime/datatypes/_dtypekind.py	167	# This function is to broadly classify all dtypekinds into CATEGORICAL or FLOAT	COMMENT
MEDIUM	sktime/datatypes/_panel/_check.py	1483	# Importing required libraries	COMMENT
MEDIUM	sktime/datatypes/_adapter/gluonts.py	175	# Importing required libraries	COMMENT
MEDIUM	sktime/datatypes/_adapter/gluonts.py	361	# Importing required libraries	COMMENT
MEDIUM	sktime/datatypes/_adapter/tests/test_dask_pd.py	41	# Create a regular pandas DataFrame	COMMENT
MEDIUM	sktime/datasets/_readers_writers/ts.py	602	# Create a DataFrame from the data parsed above	COMMENT
MEDIUM	sktime/clustering/compose/_as_transform.py	130	# Create a mapping	COMMENT
MEDIUM	sktime/utils/plotting.py	614	# Create a constant vector based on the split for y-axis."""	COMMENT
MEDIUM	sktime/libs/timesfm/patched_decoder.py	67	# Create a range array for indexing	COMMENT
MEDIUM	sktime/libs/timesfm/patched_decoder.py	162	# Create a mask where P is 0	COMMENT
MEDIUM	sktime/libs/kronos/kronos.py	174	) # Create a mask for bit extraction	CODE
MEDIUM	sktime/libs/kronos/kronos.py	181	) # Create a mask for bit extraction	CODE
MEDIUM	sktime/libs/mira/modeling_mira.py	65	# Define a dummy odeint to prevent NameError, but raise NotImplementedError if called	COMMENT
MEDIUM	sktime/libs/windfm/windfm.py	216	) # Create a mask for bit extraction	CODE
MEDIUM	sktime/libs/windfm/windfm.py	223	) # Create a mask for bit extraction	CODE
MEDIUM	sktime/libs/lag_llama/data/augmentations/freq_mask.py	34	# Create a random mask with a probability defined by 'rate'.	COMMENT
MEDIUM	sktime/libs/lag_llama/data/augmentations/freq_mix.py	35	# Create a random mask with a probability defined by 'rate'.	COMMENT
MEDIUM	…ime/libs/lag_llama/data/augmentations/augmentations.py	175	# Create an index for flipping, where each element has a 50% chance of	COMMENT
MEDIUM	…ime/libs/lag_llama/data/augmentations/augmentations.py	183	# Create a tensor of ones, which will be used to flip the sign of the	COMMENT
MEDIUM	…ime/libs/lag_llama/data/augmentations/augmentations.py	226	# Create an array representing the original order of data points.	COMMENT
MEDIUM	…ime/libs/lag_llama/data/augmentations/augmentations.py	366	# Create a cubic spline based on the warp steps and random warps	COMMENT
MEDIUM	sktime/networks/scinet.py	304	# Initialize all class parameters with provided arguments or default values	COMMENT
MEDIUM	sktime/forecasting/greykite.py	148	# Create the ForecastConfig using Greykite's parameters.	COMMENT
MEDIUM	sktime/forecasting/greykite.py	184	# Create the forecast configuration if not already provided.	COMMENT
MEDIUM⚡	sktime/forecasting/moirai.py	797	# Create a new MultiIndex with the flattened level and the last level unchanged	COMMENT
MEDIUM	sktime/forecasting/convtimenet.py	103	>>> # Create a sample univariate time series	STRING
MEDIUM	sktime/forecasting/var_reduce.py	344	# Create a new `fh` object with only in-sample values	COMMENT
MEDIUM	sktime/forecasting/var_reduce.py	372	# Create an index for all generated forecasts	COMMENT
MEDIUM	sktime/forecasting/var_reduce.py	379	# Create a new `fh` object with only the required outsample indices	COMMENT
MEDIUM	sktime/forecasting/lagllama.py	289	# Initialize parent class	COMMENT
MEDIUM⚡	sktime/forecasting/lagllama.py	1324	# Create a new MultiIndex with the flattened level and the last level unchanged	COMMENT
MEDIUM	sktime/forecasting/scinet.py	227	# Define the SCINet-based network	COMMENT
MEDIUM	sktime/forecasting/momentfm.py	344	# Create a OneCycleLR scheduler	COMMENT
MEDIUM	…me/forecasting/compose/_transform_select_forecaster.py	207	# Create a list of forecasters	COMMENT
MEDIUM	sktime/forecasting/compose/_grouped.py	349	# Create a list of forecasters	COMMENT
MEDIUM	…ng/compose/tests/test_transformer_select_forecaster.py	66	# Defining the forecaster	COMMENT
MEDIUM	sktime/forecasting/compose/tests/test_pipeline.py	667	# Create a pipeline with YtoX() and WindowSummarizer	COMMENT
MEDIUM	sktime/forecasting/compose/tests/test_pipeline.py	732	# Create a forecaster that natively implements _predict_proba	COMMENT
MEDIUM	…e/forecasting/tests/test_hf_transformers_forecaster.py	51	# Define the forecasting horizon and predict	COMMENT
MEDIUM⚡	sktime/forecasting/tests/test_dummy_global.py	250	# Create a single series (not panel data)	COMMENT
MEDIUM	sktime/forecasting/tests/test_arar.py	21	# Create a simple time series	COMMENT
MEDIUM	sktime/forecasting/tests/test_arar.py	44	# Create a simple time series	COMMENT
MEDIUM	sktime/forecasting/tests/test_arar.py	66	# Create a simple time series	COMMENT
MEDIUM	sktime/forecasting/tests/test_arar.py	94	# Create a simple time series	COMMENT
MEDIUM	sktime/forecasting/tests/test_arar.py	122	# Create a very short time series (should trigger warning)	COMMENT
5 more matches not shown…

Redundant / Tautological Comments54 hits · 85 pts

Severity	File	Line	Snippet	Context
LOW	sktime/classification/tests/test_all_classifiers.py	255	# Check if the estimator supports class_weight	COMMENT
LOW	sktime/pipeline/pipeline.py	206	# Check if not already an skobject cloned from the provided	COMMENT
LOW	sktime/transformations/fabba.py	335	# Check if only a single series or multiple	COMMENT
LOW	sktime/transformations/fabba.py	768	# Assign symbols to labels	COMMENT
LOW	sktime/transformations/fabba.py	1129	# Check if only a single series or multiple	COMMENT
LOW	sktime/transformations/tests/test_window_summarizer.py	73	# Check if the variable name exists and return it	COMMENT
LOW	sktime/transformations/signature_based/_checks.py	44	# Check if pandas so we can convert back	COMMENT
LOW	sktime/transformations/tsfel/_tsfel.py	169	# Check if feature exists	COMMENT
LOW	sktime/transformations/tsfel/_tsfel.py	177	# Check if feature requires parameters that aren't provided	COMMENT
LOW	sktime/transformations/detrend/tests/test_mstl.py	32	# Check if the transformed data has the expected components	COMMENT
LOW	sktime/datatypes/_panel/_check.py	1334	# Check if there are no time series in the ListDataset	COMMENT
LOW	sktime/datatypes/_panel/_check.py	1503	# Check if there are no values	COMMENT
LOW	sktime/datatypes/_series/_check.py	963	# Check if there are no time series in the ListDataset	COMMENT
LOW	sktime/datatypes/_series/_check.py	1013	# Check if a valid Frequency is set	COMMENT
LOW	sktime/datatypes/_series/_check.py	1118	# Check if there are no values	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	94	# Check if this line contains metadata	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	166	# Check if we have any associated class values	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	198	# Check if this line contains the start of data	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	224	# Check if we are dealing with data that has timestamps	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	257	# Check if we have reached a class label	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	320	# Check if there is another value or	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	541	# Check if we should have class values, and if so	COMMENT
LOW	sktime/datasets/_readers_writers/ts.py	608	# Check if we should return any associated class labels separately	COMMENT
LOW⚡	sktime/datasets/tests/test_datadownload.py	105	# Check if the response status code is 200 (OK)	COMMENT
LOW⚡	sktime/datasets/tests/test_datadownload.py	110	# Check if the response headers indicate that the content is downloadable	COMMENT
LOW	sktime/datasets/tests/test_all_datasets.py	60	# Check if the output is a generator	COMMENT
LOW	sktime/datasets/base/_base.py	167	# Check if loader_func has split and return_type parameters	COMMENT
LOW	sktime/utils/multiindex.py	209	# Check if any child value appears under multiple parent values	COMMENT
LOW	sktime/utils/_testing/estimator_checks.py	119	# Check if both inputs have the same shape	COMMENT
LOW	sktime/utils/validation/series.py	133	# Check if pandas series or numpy array	COMMENT
LOW	sktime/utils/validation/forecasting.py	108	# Check if pandas series or numpy array	COMMENT
LOW	sktime/utils/validation/forecasting.py	292	# Check if non-empty, note we check for empty values here, rather than	COMMENT
LOW	sktime/libs/momentfm/utils/data.py	47	# Open file	COMMENT
LOW	sktime/alignment/dtw_python.py	137	# Check if the user has the incorrect 'dtw' package installed.	COMMENT
LOW	sktime/alignment/dtw_python.py	379	# Check if the user has the incorrect 'dtw' package installed.	COMMENT
LOW	sktime/forecasting/moirai.py	439	# Check if the index is a range index	COMMENT
LOW	sktime/forecasting/convtimenet.py	244	# Check if context_window needs adjustment	COMMENT
LOW	sktime/forecasting/convtimenet.py	263	# Check if patch_ks needs adjustment based on context_window	COMMENT
LOW	sktime/forecasting/convtimenet.py	345	# Check if we need to drop the last batch to avoid single sample	COMMENT
LOW	sktime/forecasting/lagllama.py	355	# Check if hierarchical (3+ levels) and convert to panel format	COMMENT
LOW	sktime/forecasting/lagllama.py	407	# Check if column is not of string type	COMMENT
LOW	sktime/forecasting/dummy_global.py	240	# Check if we're dealing with multivariate data	COMMENT
LOW	sktime/forecasting/dummy_global.py	275	# Check if we're dealing with multivariate data	COMMENT
LOW	…me/forecasting/model_evaluation/tests/test_evaluate.py	106	# Check if all timings are positive.	COMMENT
LOW	…ng/compose/tests/test_transformer_select_forecaster.py	70	# Check if the type of the chosen forecaster matches the provided forecaster type	COMMENT
LOW	sktime/forecasting/tests/test_all_forecasters.py	994	# Check if forecaster has overridden _pretrain	COMMENT
LOW	sktime/forecasting/model_selection/tests/test_tune.py	81	# Check if best parameters are selected.	COMMENT
LOW	sktime/forecasting/base/_fh.py	741	# Check if all timedeltas are present with min_diff spacing	COMMENT
LOW	sktime/performance_metrics/forecasting/_functions.py	2800	# Check if indices are different	COMMENT
LOW⚡	…erformance_metrics/forecasting/sample_weight/_types.py	96	# Check if the function has at least one parameter (y_true)	COMMENT
LOW⚡	…erformance_metrics/forecasting/sample_weight/_types.py	103	# Check if the first parameter is y_true	COMMENT
LOW⚡	…erformance_metrics/forecasting/sample_weight/_types.py	107	# Check if the function accepts **kwargs	COMMENT
LOW	sktime/detection/ggs.py	286	# Check if we need to adjust it	COMMENT
LOW	sktime/detection/ggs.py	346	# Check if our algorithm is finished	COMMENT

AI Slop Vocabulary29 hits · 52 pts

Severity	File	Line	Snippet	Context
MEDIUM	sktime/classification/tests/test_all_classifiers.py	82	# this is more robust against different scitypes in X_new	COMMENT
LOW	sktime/transformations/dwt.py	163	# if length is 1, just return the list back	COMMENT
LOW	sktime/transformations/hurst.py	237	# If matplotlib is not installed, we'll just return without plotting	COMMENT
MEDIUM	sktime/transformations/tests/test_date.py	28	# Test that comprehensive feature_scope works for weeks	COMMENT
MEDIUM⚡	sktime/transformations/tests/test_date.py	71	# Test that comprehensive feature_scope works for months	COMMENT
LOW	sktime/clustering/kvisibility.py	215	# if X is the same as seen in _fit, simply return the labels	COMMENT
LOW	sktime/clustering/dbscan.py	223	# if X is the same as seen in _fit, simply return the labels	COMMENT
MEDIUM	sktime/clustering/tests/test_all_clusterers.py	65	# this is more robust against different scitypes in X_new	COMMENT
LOW	sktime/clustering/spatio_temporal/_st_dbscan.py	316	# if X is the same as seen in _fit, simply return the labels	COMMENT
LOW	sktime/utils/datetime.py	212	# if we want index, we can simply use add dunder or shift	COMMENT
MEDIUM	sktime/libs/granite_ttm/modeling_tinytimemixer.py	4057	# initial smooth (no robust weights)	STRING
MEDIUM	sktime/libs/granite_ttm/modeling_tinytimemixer.py	4062	# robust reweighting loops (Tukey bisquare on centered residuals with MAD scale)	STRING
LOW	sktime/networks/mcdcnn/_mcdcnn_tf.py	121	# therefore simply use that layer, bypassing concat layer.	COMMENT
MEDIUM	sktime/regression/tests/test_all_regressors.py	75	# this is more robust against different scitypes in X_new	COMMENT
MEDIUM	sktime/forecasting/windfm.py	86	https://huggingface.co/NeoQuasar/WindFM-robust	STRING
MEDIUM	sktime/forecasting/windfm.py	90	https://huggingface.co/NeoQuasar/WindFM-Tokenizer-robust	STRING
MEDIUM⚡	sktime/forecasting/windfm.py	122	... # robust variants:	STRING
MEDIUM⚡	sktime/forecasting/windfm.py	123	... # model_path="NeoQuasar/WindFM-robust",	STRING
MEDIUM⚡	sktime/forecasting/windfm.py	124	... # tokenizer_path="NeoQuasar/WindFM-Tokenizer-robust",	STRING
LOW	sktime/forecasting/lagllama.py	666	# If already pretrained, predictor_ exists - just return	COMMENT
LOW	sktime/forecasting/momentfm.py	723	# in the case of a regular multivariate df, we just return the trivial case	COMMENT
LOW	sktime/forecasting/reconcile.py	200	# # check the length of index if not hierarchical just return self early	COMMENT
LOW	sktime/forecasting/compose/_pipeline.py	744	# else we just pass on y	COMMENT
MEDIUM	…me/forecasting/compose/_transform_select_forecaster.py	401	# Attempting to utilize the fallback forecaster	COMMENT
MEDIUM	sktime/forecasting/compose/_grouped.py	571	# Attempting to utilize the fallback forecaster	COMMENT
MEDIUM	sktime/detection/datagen.py	363	"""Data generator base class in order to allow composition."""	STRING
MEDIUM	sktime/detection/stray.py	16	"""STRAY: robust anomaly detection in data streams with concept drift.	STRING
LOW	sktime/base/_meta.py	453	# if already unique, just return	COMMENT
LOW	extension_templates/forecasting.py	443	# default: just call _pretrain again	COMMENT

Excessive Try-Catch Wrapping45 hits · 46 pts

Severity	File	Line	Snippet	Context
LOW	sktime/classification/model_evaluation/_functions.py	223	except Exception as e:	CODE
LOW	…ime/classification/distance_based/_proximity_forest.py	97	except Exception:	CODE
LOW	sktime/transformations/compose/_transformif.py	231	except Exception:	CODE
LOW	sktime/transformations/tests/test_all_transformers.py	244	except Exception as e:	CODE
LOW	sktime/datasets/_dataset_downloader.py	290	except Exception as e:	CODE
LOW	sktime/datasets/_dataset_downloader.py	434	except Exception as e:	CODE
LOW	sktime/tests/test_class_register.py	84	except Exception:	CODE
LOW	sktime/tests/test_all_estimators.py	652	except Exception as err:	CODE
LOW	sktime/utils/git_diff.py	52	except Exception as e:	STRING
LOW	sktime/utils/tests/test_mlflow_sktime_model_export.py	48	except Exception as e:	CODE
LOW	sktime/utils/dependencies/_placeholder.py	105	except Exception: # noqa: S110	CODE
LOW	sktime/utils/_testing/_conditional_fixtures.py	152	except Exception as err:	CODE
LOW	sktime/utils/adapters/forward.py	67	except Exception:	CODE
MEDIUM	sktime/utils/adapters/forward.py	62	def hasattr_safe(obj, attr):	CODE
LOW	sktime/utils/sklearn/_scitype.py	226	except Exception:	CODE
LOW	sktime/libs/timer_s1/modeling_TimerS1.py	103	except Exception:	CODE
LOW	sktime/libs/timer_s1/modeling_TimerS1.py	1034	except Exception:	CODE
LOW	sktime/libs/fracdiff/tests/sklearn/test_fracdiff.py	39	except Exception as e:	CODE
MEDIUM	sktime/libs/fracdiff/tests/sklearn/test_fracdiff.py	36	def test_sklearn_compatible_estimator(self, estimator, check):	CODE
LOW	sktime/registry/_craft.py	140	except Exception:	CODE
LOW	sktime/registry/_alias.py	66	except Exception as e:	CODE
LOW	sktime/benchmarking/benchmarks.py	626	except Exception as exc:	CODE
LOW	sktime/forecasting/mapa.py	210	except Exception as e:	CODE
LOW	sktime/forecasting/mapa.py	487	except Exception as e:	CODE
LOW	sktime/forecasting/mapa.py	554	except Exception as e:	CODE
LOW	sktime/forecasting/mapa.py	687	except Exception as e:	CODE
LOW	sktime/forecasting/moirai.py	256	except Exception:	CODE
LOW	sktime/forecasting/cinn.py	246	except Exception as e:	CODE
LOW	sktime/forecasting/cinn.py	358	except Exception:	CODE
LOW	sktime/forecasting/moirai2.py	171	except Exception:	CODE
LOW	sktime/forecasting/autots.py	357	except Exception as e:	CODE
LOW	sktime/forecasting/neuralprophet.py	234	except Exception:	CODE
LOW	sktime/forecasting/chronos.py	417	except Exception as e:	CODE
LOW	sktime/forecasting/ets.py	277	except Exception:	CODE
LOW	sktime/forecasting/model_evaluation/_functions.py	296	except Exception as e:	CODE
LOW	sktime/forecasting/arar/_arar_forecaster.py	241	except Exception as e:	CODE
LOW	sktime/forecasting/compose/_fallback.py	253	except Exception as e:	CODE
LOW	sktime/forecasting/compose/_fallback.py	296	except Exception as e:	CODE
LOW	sktime/forecasting/agentic/_autoresearch.py	223	except Exception as e:	STRING
LOW	sktime/forecasting/agentic/_autoresearch.py	404	except Exception as e:	CODE
LOW	sktime/forecasting/agentic/_autoresearch.py	667	except Exception as e:	CODE
LOW	sktime/forecasting/agentic/_autoresearch.py	783	except Exception as e:	CODE
LOW	…orecasting/base/adapters/_generalised_statsforecast.py	406	except Exception:	CODE
LOW	sktime/base/_base.py	250	except Exception: # noqa: S110	CODE
LOW	docs/source/conf.py	188	except Exception:	CODE

Modern AI Meta-Vocabulary10 hits · 27 pts

Severity	File	Line	Snippet	Context
MEDIUM	sktime/split/_legacy_splitters.py	51	# data loader during orchestration,	COMMENT
MEDIUM	sktime/classification/foundation_models/mantis.py	226	# because the multiton is for the zero-shot/frozen forecaster pattern.	COMMENT
MEDIUM	…rmations/rocket/_minirocket_multivariate_cython_est.py	168	# reuse the non-numba fit scaffolding from the numba module	COMMENT
MEDIUM	sktime/libs/granite_ttm/modeling_tinytimemixer.py	1336	) # Number of items to skip in the context window from the end	CODE
MEDIUM	sktime/benchmarking/base.py	58	# assigned during fitting of orchestration	COMMENT
MEDIUM	sktime/benchmarking/tests/test_orchestration.py	41	# simple test of orchestration and metric evaluation	COMMENT
MEDIUM	sktime/benchmarking/tests/test_orchestration.py	89	# extensive tests of orchestration and metric evaluation against sklearn	COMMENT
MEDIUM	sktime/benchmarking/tests/test_orchestration.py	117	# set up orchestration	COMMENT
MEDIUM	sktime/forecasting/patch_tst.py	218	>>> #Example with a pre-trained model to do zero-shot forecasting	STRING
MEDIUM	sktime/detection/momentfm.py	274	# For zero-shot, just move to device	COMMENT

Slop Phrases14 hits · 21 pts

Severity	File	Line	Snippet	Context
LOW	sktime/libs/mira/modeling_mira.py	487	# the current expert. We need to make sure to multiply the output hidden	COMMENT
LOW	sktime/libs/timemoe/timemoe.py	526	# the current expert. We need to make sure to multiply the output hidden	COMMENT
LOW	extension_templates/clustering.py	48	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/classification.py	50	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/alignment.py	49	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/metric_detection.py	43	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/metric_forecasting.py	54	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/split.py	47	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/transformer.py	50	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/dist_kern_tab.py	31	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/dist_kern_panel.py	31	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/param_est.py	40	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/metric_forecasting_hierarchical.py	64	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT
LOW	extension_templates/forecasting.py	54	# make sure to fill in the "python_dependencies" tag with the package import name	COMMENT

Verbosity Indicators5 hits · 10 pts

Severity	File	Line	Snippet	Context
LOW⚡	sktime/benchmarking/critical_difference.py	170	# Step 1: rank data: best algorithm gets rank of 1 second best rank of 2...	COMMENT
LOW⚡	sktime/benchmarking/critical_difference.py	179	# Step 2: calculate average rank per strategy	COMMENT
LOW⚡	sktime/benchmarking/critical_difference.py	182	# Step 3 : check whether Friedman test is significant	COMMENT
LOW⚡	sktime/benchmarking/critical_difference.py	185	# Step 4: If Friedman test is significant calculate critical difference as part of	COMMENT
LOW	sktime/benchmarking/critical_difference.py	380	# Step 5: compute statistically similar cliques	COMMENT

Structural Annotation Overuse5 hits · 10 pts

Severity	File	Line	Snippet	Context
LOW⚡	sktime/benchmarking/critical_difference.py	170	# Step 1: rank data: best algorithm gets rank of 1 second best rank of 2...	COMMENT
LOW⚡	sktime/benchmarking/critical_difference.py	179	# Step 2: calculate average rank per strategy	COMMENT
LOW⚡	sktime/benchmarking/critical_difference.py	182	# Step 3 : check whether Friedman test is significant	COMMENT
LOW⚡	sktime/benchmarking/critical_difference.py	185	# Step 4: If Friedman test is significant calculate critical difference as part of	COMMENT
LOW	sktime/benchmarking/critical_difference.py	380	# Step 5: compute statistically similar cliques	COMMENT

Fake / Example Data5 hits · 6 pts

Severity	File	Line	Snippet	Context
LOW⚡	sktime/param_est/impulse/_response.py	263	dummy_data = np.zeros((10, k_vars))	CODE
LOW⚡	sktime/param_est/impulse/_response.py	270	dummy_model = ImportedModel(dummy_data, order=(p, q), trend=trend_type)	CODE
LOW⚡	sktime/param_est/impulse/_response.py	278	endog=dummy_data,	CODE
LOW	…/libs/granite_ttm/tests/test_modeling_tinytimemixer.py	54	instance_dict["fake_key"] = sentinel	CODE
LOW	sktime/libs/lag_llama/gluon/estimator.py	452	dummy_value=self.distr_output.value_in_support,	CODE

TODO Padding2 hits · 3 pts

Severity	File	Line	Snippet	Context
LOW	sktime/forecasting/base/_base.py	2023	# TODO: add tests that :	COMMENT
LOW	extension_templates/catalogue.py	130	# TODO: implement this	COMMENT

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings