statsmodels/statsmodels

12.8

Adjusted Score

12.8

Raw Score

100%

Time Factor

2026-08-27

Last Push

11.6K

Stars

Python

Language

533.9K

Lines of Code

1.6K

Files

4.9K

Pattern Hits

2026-08-29

Scan Date

0.21

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 2HIGH 321MEDIUM 517LOW 4042

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 4882 distinct pattern matches across 23 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

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

Hyper-Verbose Identifiers1677 hits · 1625 pts

Severity	File	Line	Snippet	Context
LOW	tools/validate_docstrings.py	656	def get_returns_not_on_nested_functions(node):	CODE
LOW	tools/validate_docstrings.py	692	def mentioned_private_classes(self):	CODE
LOW	archive/tests/test_predict_functional.py	115	def test_glm_formula_contrast(self, close_figures):	CODE
LOW	archive/tests/test_predict_functional.py	296	def test_noformula_prediction(self, close_figures):	CODE
LOW	archive/distributions/tests/test_gof_new.py	7	def test_loop_vectorized_batch_equivalence():	CODE
LOW	archive/stats/stats_mstats_short.py	332	def edf_normal_inverse_transformed(x, alpha=3.0 / 8, beta=3.0 / 8, axis=0):	CODE
LOW	examples/python/lowess.py	67	def lowess_with_confidence_bounds(	CODE
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	493	def plot_coefficients_by_equation(states):	CODE
LOW	statsmodels/conftest.py	169	def pytest_collection_modifyitems(config, items):	CODE
LOW	statsmodels/conftest.py	206	def check_global_randomstate_usage(request):	CODE
LOW	statsmodels/robust/tools.py	567	def _convert_to_dict_mvmean_effs(eff_mean=True):	CODE
LOW	statsmodels/robust/covariance.py	70	def _naive_ledoit_wolf_shrinkage(x, center):	STRING
LOW	statsmodels/robust/covariance.py	96	def coef_normalize_cov_truncated(frac, k_vars):	STRING
LOW	statsmodels/robust/covariance.py	137	def _coef_normalize_cov_truncated_(frac, k_vars):	STRING
LOW	statsmodels/robust/covariance.py	896	def cov_tyler_pairs_regularized(	CODE
LOW	statsmodels/robust/robust_linear_model.py	320	>>> def avg_abs_deviation_with_model(model, resid):	CODE
LOW	statsmodels/robust/tests/test_rlm.py	329	def test_rlm_start_values_errors():	CODE
LOW	statsmodels/robust/tests/test_rlm.py	342	def test_rlm_scale_est_callback_receives_model():	CODE
LOW	statsmodels/robust/tests/test_rlm.py	363	def test_rlm_scale_est_one_and_two_inputs():	CODE
LOW	statsmodels/robust/tests/test_rlm.py	383	def test_rlm_scale_est_resid_callable_df_correction():	CODE
LOW	statsmodels/robust/tests/test_rlm.py	471	def test_summary_after_remove_data():	CODE
LOW	statsmodels/robust/tests/test_rlm.py	501	def test_fit_invalid_options_raise():	CODE
LOW	statsmodels/robust/tests/test_rlm.py	525	def test_rlm_results_direct_construction_validates_cov():	CODE
LOW	statsmodels/robust/tests/test_scale.py	444	def test_scale_trimmed_approx():	CODE
LOW	statsmodels/robust/tests/test_scale.py	479	def test_scale_trimmed_distarge():	CODE
LOW	statsmodels/robust/tests/test_covariance.py	329	def test_cov_tyler_regularized_n_iter():	CODE
LOW	statsmodels/robust/tests/test_covariance.py	339	def test_cov_tyler_regularized_corr_uses_scale():	CODE
LOW	statsmodels/robust/tests/test_covariance.py	424	def test_cov_iter_invalid_rescale_raises():	CODE
LOW	statsmodels/robust/tests/test_covariance.py	433	def test_get_detcov_startidx_invalid_methods_cov_raises():	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	89	def test_fit_moment_condition_and_start_results(self):	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	103	def test_fit_beats_ols_under_contamination(self):	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	123	def test_univariate_quantile_start(self):	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	138	def test_include_endog_and_col_indices(self):	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	168	def test_fit_beats_ols_under_contamination(self):	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	180	def test_efficiency_close_to_ols_on_clean_data(self):	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	202	def test_start_tuple_skips_s_stage(self):	CODE
LOW	statsmodels/robust/tests/test_resistant_linear_model.py	214	def test_breakdown_point_passthrough(self, breakdown_point):	CODE
LOW	statsmodels/nonparametric/kernels_asymmetric.py	653	def kernel_pdf_recipinvgauss_(x, sample, bw):	STRING
LOW	statsmodels/nonparametric/kernels.py	204	def aitchison_aitken_convolution(h, Xi, Xj):	STRING
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	56	def test_check_is_fit_exception(self):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	60	def test_non_weighted_fft_exception(self):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	70	def test_wrong_weight_length_exception(self):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	80	def test_non_gaussian_fft_exception(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	381	def test_norm_constant_calculation(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	428	def test_check_is_fit_ok_with_custom_bandwidth(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	435	def test_check_is_fit_ok_with_standard_custom_bandwidth(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	447	def test_check_is_fit_ok_with_float_bandwidth(self, fft):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	460	def test_entropy_finite_domain_kernel(kernel):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	470	def test_entropy_infinite_domain_kernel():	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	477	def test_kdensity_result_object_default(func):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	495	def test_kdensity_result_object_true(func):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	287	def test_continuousdata_lc_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	312	def test_continuousdata_ll_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	336	def test_continuous_mfx_ll_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	387	def test_mfx_nonlinear_ll_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	417	def test_continuous_cvls_efficient(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	486	def test_significance_continuous(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	513	def test_significance_seed_legacy(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	600	def test_significance_seed_thread_safe(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	632	def test_significance_discrete(self):	CODE
1617 more matches not shown…

Cross-Language Confusion199 hits · 911 pts

Severity	File	Line	Snippet	Context
HIGH	statsmodels/tools/grouputils.py	795	if not test.index.equals(test_sorted.index):	CODE
HIGH	statsmodels/tools/tests/test_grouputils.py	56	assert not index.equals(self.grouping.index)	CODE
HIGH	statsmodels/tools/tests/test_grouputils.py	60	assert not sorted_data.equals(self.data)	CODE
HIGH	statsmodels/tools/tests/test_grouputils.py	75	assert not sorted_data.equals(series)	CODE
HIGH	statsmodels/datasets/utils.py	159	if data.index.equals(Index(lrange(1, len(data) + 1))):	CODE
HIGH	statsmodels/imputation/mice.py	329	ix_obs = np.flatnonzero(~null)	CODE
HIGH	statsmodels/imputation/mice.py	330	ix_miss = np.flatnonzero(null)	CODE
HIGH	statsmodels/genmod/generalized_linear_model.py	2062	self._endog, self.null, self._var_weights, self._freq_weights	STRING
HIGH	statsmodels/genmod/generalized_linear_model.py	2072	self.null,	STRING
HIGH	statsmodels/genmod/tests/test_glm.py	1045	assert_allclose(mod1.null, mod2.null, rtol=1e-10)	STRING
HIGH⚡	statsmodels/tsa/statespace/tools.py	376	if s.columns.equals(pd.Index([None])):	STRING
HIGH⚡	statsmodels/tsa/statespace/tools.py	382	if axis == 0 and not base_columns.equals(s_columns):	STRING
HIGH⚡	statsmodels/tsa/statespace/tools.py	385	elif axis == 1 and not series[0].index.equals(s.index):	STRING
HIGH	statsmodels/tsa/statespace/dynamic_factor_mq.py	1360	endog_mean.index.equals(pd.Index(endog_names))):	STRING
HIGH	statsmodels/tsa/statespace/dynamic_factor_mq.py	1367	endog_std.index.equals(pd.Index(endog_names))):	STRING
HIGH	statsmodels/tsa/statespace/mlemodel.py	73	if given_index is not None and not desired_index.equals(given_index):	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1905	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1915	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1916	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1957	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1967	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1968	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2019	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2020	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2093	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2100	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	1889	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	1931	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	1989	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2005	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2042	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2059	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2073	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2074	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	860	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	873	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	885	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	898	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_impulse_responses.py	913	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_impulse_responses.py	918	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2967	assert_(mod._index.equals(endog.index[1:]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2975	assert_(mod._index.equals(endog.index[1:]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2985	assert_(mod._index.equals(endog.index[1:]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2997	assert_(mod._index.equals(pd.RangeIndex(start=0, stop=len(values) - 1)))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2998	assert_(mod.data.row_labels.equals(index[1:]))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_sarimax.py	2278	assert_equal(out.index.equals(pd.Index(["a"])), True)	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1602	assert_(mod._index.equals(mod_base._index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1609	assert_(mod._index.equals(mod_base._index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1616	assert_(mod._index.equals(mod_base._index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1691	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1692	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1707	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1725	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1726	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_varmax.py	976	assert out.index.equals(pd.Index(["a"]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1309	assert states.predicted.index.equals(predicted_ix)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1310	assert states.predicted.columns.equals(cols)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1312	assert states.predicted_cov.index.equals(predicted_cov_ix)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1313	assert states.predicted.columns.equals(cols)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1316	assert states.filtered.index.equals(ix)	CODE
139 more matches not shown…

Unused Imports903 hits · 756 pts

Severity	File	Line	Context
LOW	tools/check_public_api_coverage.py	46	CODE
LOW	tools/class_coverage_report.py	46	CODE
LOW	archive/examples/ex_wald_anova.py	10	CODE
LOW	archive/examples/ex_generic_mle_tdist.py	17	CODE
LOW	archive/examples/tests/test_notebooks.py	8	CODE
LOW	archive/examples/tests/test_notebooks.py	28	CODE
LOW	archive/examples/tests/test_notebooks.py	35	CODE
LOW	archive/examples/tests/test_notebooks.py	42	CODE
LOW	archive/examples/tests/test_notebooks.py	49	CODE
LOW	archive/examples/thirdparty/ex_ratereturn.py	95	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	3	CODE
LOW	archive/stats/diagnostic.py	23	CODE
LOW	docs/source/conf.py	60	CODE
LOW	statsmodels/__init__.py	1	CODE
LOW	statsmodels/api.py	79	CODE
LOW	statsmodels/api.py	79	CODE
LOW	statsmodels/api.py	84	CODE
LOW	statsmodels/api.py	84	CODE
LOW	statsmodels/api.py	84	CODE
LOW	statsmodels/api.py	84	CODE
LOW	statsmodels/api.py	84	CODE
LOW	statsmodels/api.py	84	CODE
LOW	statsmodels/api.py	85	CODE
LOW	statsmodels/api.py	86	CODE
LOW	statsmodels/api.py	86	CODE
LOW	statsmodels/api.py	86	CODE
LOW	statsmodels/api.py	91	CODE
LOW	statsmodels/api.py	91	CODE
LOW	statsmodels/api.py	91	CODE
LOW	statsmodels/api.py	96	CODE
LOW	statsmodels/api.py	96	CODE
LOW	statsmodels/api.py	96	CODE
LOW	statsmodels/api.py	96	CODE
LOW	statsmodels/api.py	96	CODE
LOW	statsmodels/api.py	96	CODE
LOW	statsmodels/api.py	96	CODE
LOW	statsmodels/api.py	105	CODE
LOW	statsmodels/api.py	105	CODE
LOW	statsmodels/api.py	105	CODE
LOW	statsmodels/api.py	110	CODE
LOW	statsmodels/api.py	111	CODE
LOW	statsmodels/api.py	112	CODE
LOW	statsmodels/api.py	113	CODE
843 more matches not shown…

Over-Commented Block655 hits · 621 pts

Severity	File	Line	Snippet	Context
LOW	pyproject.toml	201	# flake8-logging-format	COMMENT
LOW	pyproject.toml	221	# flake8-django (no Django usage, currently clean)	COMMENT
LOW	pyproject.toml	281	# Counts below are from `ruff check . --select ALL`	COMMENT
LOW	pyproject.toml	321	# mutable-class-default	COMMENT
LOW	tools/R2nparray/R/R2nparray-package.R	1	#' R2nparray	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	1	#' Print R object contents to python expression	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	161	}	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	201	#SUR <- systemfit(inv ~ value + capital, method='SUR',data=panel)	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	221	#equations = SUR[["eq"]]	COMMENT
LOW	archive/infotheo.py	21	# Biometrika 40:237-264.	COMMENT
LOW	archive/descstats.py	141	"{range:>20}".format(**kwargs)	COMMENT
LOW	archive/descstats.py	161	# dts=s2d.string2dummy(dta)	COMMENT
LOW	archive/descstats.py	181	data = sm.datasets.longley.load()	COMMENT
LOW	archive/nonparametric/kde2.py	101	[kde.density(np.matrix([xi, yi])) for xi, yi in zip(xr.ravel(), yr.ravel(), strict=True)]	COMMENT
LOW	archive/panel/mixed.py	641		COMMENT
LOW	archive/panel/panelmod.py	121	# raise ValueError("If pandel_data is False then endog, exog, \	COMMENT
LOW	archive/panel/panelmod.py	161	self.paneluniq = np.unique(panel)	COMMENT
LOW	archive/panel/panelmod.py	181	# TODO: can the above be simplified to slice notation?	COMMENT
LOW	archive/panel/panelmod.py	281	return self._fit_fixed(method, effects)	COMMENT
LOW	archive/panel/panelmod.py	381	panel_fe2 = panel_mod.fit(model="fixed", effects="twoways")	COMMENT
LOW	archive/examples/ex_misc_tmodel.py	81	# print pp.min(0)	COMMENT
LOW	archive/examples/ex_onewaygls.py	21	# '2-2': 4 groups,	COMMENT
LOW	archive/examples/ex_kernel_regression_sigtest.py	101	# ax.plot(x, y, 'o', alpha=0.5)	COMMENT
LOW	archive/examples/ex_generic_mle_tdist.py	421	# 0.0164150896481	COMMENT
LOW	archive/examples/ex_generic_mle_tdist.py	441	# Current function value: -679.950443	COMMENT
LOW	archive/examples/ex_generic_mle_tdist.py	461	#	COMMENT
LOW	archive/examples/ex_generic_mle_tdist.py	481	# >>> y.min()	COMMENT
LOW	archive/examples/ex_generic_mle_tdist.py	501	# -4.4908502522786327	COMMENT
LOW	archive/examples/example_pca_regression.py	41	print("OLS on original data")	COMMENT
LOW	archive/examples/example_gam_0.py	161		COMMENT
LOW	archive/examples/ex_cusum.py	21	example = ["null", "smalldiff", "mediumdiff", "largediff"][1]	COMMENT
LOW	archive/examples/ex_cusum.py	101		COMMENT
LOW	archive/examples/example_sysreg.py	61	print(grun_ires.params)	COMMENT
LOW	archive/examples/example_sysreg.py	221	print("We get the right estimate")	COMMENT
LOW	archive/examples/bayesprior.py	201	# NOTE: but it matches the language? I think mine is right!	COMMENT
LOW	archive/examples/bayesprior.py	221	# p_i	COMMENT
LOW	archive/examples/bayesprior.py	241	psigma2 = pymc.rinverse_gamma(1.0, 4.0, size=1e6)	COMMENT
LOW	archive/tsa/try_var_convolve.py	161	ar1[i] = 0.8 * ar1[i - 1] + rvs[i - 1]	COMMENT
LOW	archive/tsa/examples/example_var.py	41		COMMENT
LOW	archive/regression/runmnl.py	161	# if self.endog where index then xb[self.endog]	COMMENT
LOW	archive/distributions/transform_functions.py	161	#	COMMENT
LOW	docs/source/conf.py	1	#	COMMENT
LOW	docs/source/conf.py	141	# documents.	COMMENT
LOW	docs/source/conf.py	241	# html_title = None	COMMENT
LOW	docs/source/conf.py	281	# If false, no module index is generated.	COMMENT
LOW	docs/source/conf.py	301	# base URL from which the finished HTML is served.	COMMENT
LOW	docs/source/conf.py	381	"Jonathan Taylor, statsmodels-developers"	COMMENT
LOW	docs/source/conf.py	401		COMMENT
LOW	examples/python/statespace_local_linear_trend.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	21	# Chapter 3.2 for all notation and details):	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	41	# \end{align}	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	61	import statsmodels.api as sm	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	81	# the observation and state covariance matrices. More generally, the	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	101	# initial distribution of the state vector. If the distribution is known,	COMMENT
LOW	examples/python/stl_decomposition.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/lowess.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/formulas.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/formulas.py	61	# ``patsy`` formula. ``data`` takes a [pandas](https://pandas.pydata.org/)	COMMENT
LOW	examples/python/formulas.py	101	# explicitly as categorical, we could have done so by using the ``C()``	COMMENT
LOW	examples/python/tsa_arma_1.py	1	#!/usr/bin/env python	COMMENT
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Decorative Section Separators190 hits · 573 pts

Severity	File	Line	Snippet	Context
MEDIUM	tools/check_public_api_coverage.py	63	# --------------------------------------------------------------------------	COMMENT
MEDIUM	tools/check_public_api_coverage.py	65	# --------------------------------------------------------------------------	COMMENT
MEDIUM	tools/check_public_api_coverage.py	236	# --------------------------------------------------------------------------	COMMENT
MEDIUM	tools/check_public_api_coverage.py	238	# --------------------------------------------------------------------------	COMMENT
MEDIUM	tools/check_public_api_coverage.py	337	# --------------------------------------------------------------------------	COMMENT
MEDIUM	tools/check_public_api_coverage.py	339	# --------------------------------------------------------------------------	COMMENT
MEDIUM	tools/R2nparray/R/R2nparray.R	169	#----------	COMMENT
MEDIUM	archive/descstats.py	14	# ============================================	COMMENT
MEDIUM	archive/descstats.py	16	# ============================================	COMMENT
MEDIUM	archive/tools/try_mctools.py	52	# ----------------------	COMMENT
MEDIUM	archive/examples/ex_onewaygls.py	16	# --------------	COMMENT
MEDIUM	archive/examples/ex_onewaygls.py	25	# ----------------	COMMENT
MEDIUM	archive/examples/ex_onewaygls.py	191	# -----------------------	STRING
MEDIUM	archive/examples/ex_regressionplots.py	20	# ---------------------------------------------	COMMENT
MEDIUM	archive/examples/try_gmm_other.py	67	# ----------------------------	COMMENT
MEDIUM	archive/examples/try_gmm_other.py	120	# -------------------------------------------------	COMMENT
MEDIUM	archive/examples/ex_cusum.py	20	# --------------	COMMENT
MEDIUM	archive/examples/ex_cusum.py	28	# ----------------	COMMENT
MEDIUM	archive/examples/tut_ols_ancova.py	46	# -------------------------------------------	COMMENT
MEDIUM	archive/regression/ols_anova_original.py	319	# -------------------	STRING
MEDIUM	archive/regression/try_ols_anova.py	201	# ------------------------------	STRING
MEDIUM	archive/regression/try_ols_anova.py	239	# -------------------	STRING
MEDIUM	archive/regression/ar_panel.py	137	# ------------	COMMENT
MEDIUM	archive/regression/runmnl.py	236	# ------------------------------	COMMENT
MEDIUM	archive/regression/runmnl.py	309	# ----------------------	COMMENT
MEDIUM	archive/distributions/estimators.py	451	# -----------------------------	COMMENT
MEDIUM	archive/distributions/estimators.py	490	# ---------------------------	COMMENT
MEDIUM	archive/distributions/estimators.py	522	# ------------------------	COMMENT
MEDIUM	archive/distributions/estimators.py	664	# ===================================================	COMMENT
MEDIUM	archive/distributions/estimators.py	667	# -------------------------------	COMMENT
MEDIUM	archive/distributions/estimators.py	690	# --------------------------------------------------------	COMMENT
MEDIUM	examples/python/mixed_lm_example.py	41	# =======================================	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	51	# ----------------------------------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	84	# ----------------------------------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	150	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	260	# --------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	386	# -----------------------------------------------------------------	STRING
MEDIUM	examples/incomplete/dates.py	10	# ---------------	COMMENT
MEDIUM	examples/incomplete/dates.py	19	# ------------	COMMENT
MEDIUM	examples/incomplete/dates.py	33	# --------------------	COMMENT
MEDIUM	statsmodels/robust/tests/test_rlm.py	211	# --------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tools/eval_measures.py	389	# ---------------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	193	# ------------------------------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	242	# -------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	247	# --------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	480	# ------------------------------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	569	# ------------------------------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/tests/test_gmm.py	101	# -----------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/tests/test_gmm.py	187	# -----------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/tests/test_gmm.py	858	# ------------------	COMMENT
MEDIUM	statsmodels/sandbox/distributions/tests/test_transf.py	104	# -----------------------------	COMMENT
MEDIUM	statsmodels/sandbox/stats/multicomp.py	498	# ============================	COMMENT
MEDIUM	statsmodels/sandbox/stats/multicomp.py	502	# ============================	COMMENT
MEDIUM⚡	statsmodels/tsa/filters/tests/test_hamilton_filter.py	18	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	statsmodels/tsa/filters/tests/test_hamilton_filter.py	20	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	statsmodels/tsa/filters/tests/test_hamilton_filter.py	26	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	statsmodels/tsa/filters/tests/test_hamilton_filter.py	28	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	statsmodels/tsa/filters/tests/test_hamilton_filter.py	85	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	statsmodels/tsa/filters/tests/test_hamilton_filter.py	87	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	statsmodels/tsa/filters/tests/test_hamilton_filter.py	180	# ---------------------------------------------------------------------------	COMMENT
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Cross-File Repetition104 hits · 520 pts

Severity	File	Line	Snippet	Context
HIGH	archive/nonparametric/kernel_extras.py	0	multivariate conditional and unconditional kernel regression with mixed data types references ---------- [1] racine, j.,	STRING
HIGH	statsmodels/nonparametric/kernel_density.py	0	multivariate conditional and unconditional kernel regression with mixed data types references ---------- [1] racine, j.,	STRING
HIGH	statsmodels/nonparametric/kernel_regression.py	0	multivariate conditional and unconditional kernel regression with mixed data types references ---------- [1] racine, j.,	STRING
HIGH	archive/examples/ex_mixed_lls_0.py	0	if z is not included in x: >>> np.dot(b_re.t, b_re)/100 array([[ 0.03270611, -0.00916051], [-0.00916051, 0.26432783]]) >	STRING
HIGH	archive/examples/ex_mixed_lls_timecorr.py	0	if z is not included in x: >>> np.dot(b_re.t, b_re)/100 array([[ 0.03270611, -0.00916051], [-0.00916051, 0.26432783]]) >	STRING
HIGH	archive/examples/ex_mixed_lls_re.py	0	if z is not included in x: >>> np.dot(b_re.t, b_re)/100 array([[ 0.03270611, -0.00916051], [-0.00916051, 0.26432783]]) >	STRING
HIGH	archive/examples/ex_kernel_semilinear_dgp.py	0	created on sun jan 06 09:50:54 2013 author: josef perktold	STRING
HIGH	archive/examples/ex_kernel_singleindex_dgp.py	0	created on sun jan 06 09:50:54 2013 author: josef perktold	STRING
HIGH	archive/examples/ex_kernel_regression_dgp.py	0	created on sun jan 06 09:50:54 2013 author: josef perktold	STRING
HIGH	archive/examples/ex_generic_mle_tdist.py	0	maximum likelihood estimation of poisson model this is an example for generic mle which has the same statistical model a	STRING
HIGH	archive/examples/ex_generic_mle_t.py	0	maximum likelihood estimation of poisson model this is an example for generic mle which has the same statistical model a	STRING
HIGH	statsmodels/miscmodels/count.py	0	maximum likelihood estimation of poisson model this is an example for generic mle which has the same statistical model a	STRING
HIGH	archive/distributions/transform_functions.py	0	class to hold quadratic function with inverse function and derivative using instance methods instead of class methods, i	STRING
HIGH	archive/distributions/transformed.py	0	class to hold quadratic function with inverse function and derivative using instance methods instead of class methods, i	STRING
HIGH	statsmodels/sandbox/distributions/extras.py	0	class to hold quadratic function with inverse function and derivative using instance methods instead of class methods, i	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	derivative of the expected endog with respect to the parameters. parameters ---------- params : ndarray parameter at whi	STRING
HIGH	statsmodels/discrete/count_model.py	0	derivative of the expected endog with respect to the parameters. parameters ---------- params : ndarray parameter at whi	STRING
HIGH	statsmodels/genmod/generalized_linear_model.py	0	derivative of the expected endog with respect to the parameters. parameters ---------- params : ndarray parameter at whi	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	generic censored model hessian matrix of the log-likelihood. parameters ---------- params : array_like the parameters of	STRING
HIGH	statsmodels/discrete/count_model.py	0	generic censored model hessian matrix of the log-likelihood. parameters ---------- params : array_like the parameters of	STRING
HIGH	statsmodels/discrete/truncated_model.py	0	generic censored model hessian matrix of the log-likelihood. parameters ---------- params : array_like the parameters of	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	likelihood ratio chi-squared statistic; `-2*(llnull - llf)`	STRING
HIGH	statsmodels/miscmodels/ordinal_model.py	0	likelihood ratio chi-squared statistic; `-2*(llnull - llf)`	STRING
HIGH	statsmodels/base/model.py	0	likelihood ratio chi-squared statistic; `-2*(llnull - llf)`	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	the chi-squared probability of getting a log-likelihood ratio statistic greater than llr. llr has a chi-squared distribu	STRING
HIGH	statsmodels/miscmodels/ordinal_model.py	0	the chi-squared probability of getting a log-likelihood ratio statistic greater than llr. llr has a chi-squared distribu	STRING
HIGH	statsmodels/base/model.py	0	the chi-squared probability of getting a log-likelihood ratio statistic greater than llr. llr has a chi-squared distribu	STRING
HIGH	statsmodels/discrete/conditional_models.py	0	summarize the regression results parameters ---------- yname : str, optional default is `y` xname : list of str, optiona	STRING
HIGH	statsmodels/genmod/generalized_estimating_equations.py	0	summarize the regression results parameters ---------- yname : str, optional default is `y` xname : list of str, optiona	STRING
HIGH	statsmodels/genmod/qif.py	0	summarize the regression results parameters ---------- yname : str, optional default is `y` xname : list of str, optiona	STRING
HIGH	statsmodels/genmod/generalized_linear_model.py	0	summarize the regression results parameters ---------- yname : str, optional default is `y` xname : list of str, optiona	STRING
HIGH	statsmodels/duration/hazard_regression.py	0	summarize the regression results parameters ---------- yname : str, optional default is `y` xname : list of str, optiona	STRING
HIGH	statsmodels/base/model.py	0	summarize the regression results parameters ---------- yname : str, optional default is `y` xname : list of str, optiona	STRING
HIGH	statsmodels/datasets/template_data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/engel/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/cancer/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/fair/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/strikes/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/statecrime/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/heart/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/modechoice/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/scotland/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/spector/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/stackloss/data.py	0	load the stack loss data and returns a dataset class instance. returns ------- dataset a `dataset` instance with ``data`	STRING
HIGH	statsmodels/datasets/committee/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/cpunish/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/copper/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/star98/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/scotland/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/committee/data.py	0	jeff gill's generalized linear models: a unified approach http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/cpunish/data.py	0	jeff gill's generalized linear models: a unified approach http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/copper/data.py	0	jeff gill's generalized linear models: a unified approach http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/star98/data.py	0	jeff gill's generalized linear models: a unified approach http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/scotland/data.py	0	jeff gill's generalized linear models: a unified approach http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/committee/data.py	0	load the credit card data and returns a dataset class. returns ------- dataset a `dataset` instance with ``data``, ``nam	STRING
HIGH	statsmodels/datasets/cpunish/data.py	0	load the credit card data and returns a dataset class. returns ------- dataset a `dataset` instance with ``data``, ``nam	STRING
HIGH	statsmodels/datasets/anes96/data.py	0	load the credit card data and returns a dataset class. returns ------- dataset a `dataset` instance with ``data``, ``nam	STRING
HIGH	statsmodels/datasets/copper/data.py	0	load the credit card data and returns a dataset class. returns ------- dataset a `dataset` instance with ``data``, ``nam	STRING
HIGH	statsmodels/datasets/longley/data.py	0	load the credit card data and returns a dataset class. returns ------- dataset a `dataset` instance with ``data``, ``nam	STRING
HIGH	statsmodels/datasets/ccard/data.py	0	load the credit card data and returns a dataset class. returns ------- dataset a `dataset` instance with ``data``, ``nam	STRING
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AI Slop Vocabulary173 hits · 450 pts

Severity	File	Line	Snippet	Context
MEDIUM	archive/sysreg.py	212	if X is self.endog: # definitely not a robust check	CODE
MEDIUM	archive/infotheo.py	132	# TODO: looks okay but needs more robust tests for corner cases	COMMENT
MEDIUM	archive/panel/sandwich_covariance_generic.py	123	"""simple white heteroscedasticity robust covariance	STRING
MEDIUM	archive/examples/ex_sandwich3.py	59	# From the last line we see that the cluster and year robust standard errors	COMMENT
MEDIUM	archive/examples/ex_sandwich2.py	1	"""Cluster robust standard errors for OLS	STRING
MEDIUM	archive/examples/ex_sandwich2.py	54	# get cluster robust standard errors and compare with STATA	COMMENT
MEDIUM	archive/examples/ex_sandwich2.py	118	# We see that in this case the robust standard errors of the parameter estimates	COMMENT
MEDIUM	archive/examples/example_kde.py	30	# get bw first because they're not streamlined	COMMENT
MEDIUM	archive/examples/tut_ols_rlm_short.py	49	# compare with robust estimator	COMMENT
MEDIUM	archive/examples/tut_ols_rlm_short.py	61	# module sm.robust.scale for scale options	COMMENT
MEDIUM	archive/examples/ex_random_panel.py	70	# heteroscedasticity robust does not help	COMMENT
MEDIUM	archive/examples/ex_random_panel.py	72	# compare with cluster robust se	COMMENT
MEDIUM	archive/examples/bayesprior.py	44	# TODO: is this robust for differential entropy in this case? closed form or	COMMENT
MEDIUM	archive/distributions/sppatch.py	153	eps = 0 # is this robust ?	CODE
MEDIUM	archive/distributions/sppatch.py	443	# based on _drv2_moment(self, n, *args), but streamlined	COMMENT
MEDIUM	examples/python/stl_decomposition.py	73	# Setting `robust` uses a data-dependent weighting function that re-	COMMENT
MEDIUM	examples/python/stl_decomposition.py	75	# robust estimation allows the model to tolerate larger errors that are	COMMENT
MEDIUM	examples/python/stl_decomposition.py	87	# Next, we estimate the model with and without robust weighting. The	COMMENT
MEDIUM	examples/python/stl_decomposition.py	89	# 2008. The non-robust estimate places equal weights on all observations and	COMMENT
LOW	examples/python/formulas.py	39	# Alternatively, you can just use the `formula` namespace of the main	COMMENT
MEDIUM	examples/python/treatment_effect.py	117	# The doubly robust estimators `aipw`, `aipw-wls`, `ipw-ra` include both	COMMENT
MEDIUM	examples/python/treatment_effect.py	160	# `ipw` for example regression adjustment `ra` and double robust `ipw_ra`.	COMMENT
LOW	examples/python/statespace_news.py	128	# just call the `forecast` method with the number of forecasts you want to	COMMENT
LOW	examples/python/statespace_news.py	514	# For the updated dataset, we'll just add in the	COMMENT
LOW	examples/python/statespace_news.py	636	# just call the `summary_details` method directly.	COMMENT
MEDIUM	examples/python/gee_score_test_simulation.py	16	# This notebook uses simulation to demonstrate robust GEE score tests.	COMMENT
MEDIUM	examples/python/gee_score_test_simulation.py	18	# about the mean structure. The tests are robust to miss-specification of	COMMENT
MEDIUM	examples/python/gee_score_test_simulation.py	92	# The GEE score test is robust to dependence and overdispersion. Here we	COMMENT
MEDIUM	examples/python/statespace_dfm_coincident.py	362	# facilitate comparison	COMMENT
MEDIUM	examples/python/robust_models_0.py	62	# See ``help(sm.RLM.fit)`` for more options and ``module sm.robust.scale``	COMMENT
MEDIUM	examples/python/robust_models_0.py	101	# Draw a plot to compare OLS estimates to the robust estimates:	COMMENT
MEDIUM	examples/python/robust_models_0.py	138	# Draw a plot to compare OLS estimates to the robust estimates:	COMMENT
MEDIUM	examples/python/postestimation_poisson.py	99	# form which is robust to unspecified heteroscedasticity or serial or	COMMENT
MEDIUM⚡	examples/python/postestimation_poisson.py	133	# correlation robust covariance type.	COMMENT
MEDIUM⚡	examples/python/postestimation_poisson.py	134	# It currently uses the same implementation and defaults for the robust	COMMENT
MEDIUM⚡	examples/python/postestimation_poisson.py	142	# corrections for heteroscedasticity and correlation robust score tests.	COMMENT
MEDIUM	examples/python/postestimation_poisson.py	385	# generalized leverage instead of the diagonal of the hat matrix in linear	COMMENT
MEDIUM	examples/python/linear_regression_diagnostics_plots.py	55	# d. leverage	COMMENT
MEDIUM	examples/python/linear_regression_diagnostics_plots.py	472	# A high leverage guideline can also be displayed using the convention:	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	480	# so we just pass an empty list)	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	658	# models. Here we'll just use the [arviz](https://arviz-	COMMENT
MEDIUM	examples/python/robust_models_1.py	33	# * The robust estimates $\hat{\beta}$ are computed by the iteratively re-	COMMENT
MEDIUM⚡	examples/python/robust_models_1.py	146	# * The mean is not a robust estimator of location	COMMENT
MEDIUM⚡	examples/python/robust_models_1.py	152	# * The median, on the other hand, is a robust estimator with a breakdown	COMMENT
MEDIUM⚡	examples/python/robust_models_1.py	160	# * The standard deviation is not robust	COMMENT
MEDIUM	examples/python/robust_models_1.py	193	# Another robust estimator of scale is the Interquartile Range (IQR)	COMMENT
MEDIUM	examples/python/robust_models_1.py	208	# The IQR is less robust than the MAD in the sense that it has a lower	COMMENT
MEDIUM	examples/python/robust_models_1.py	214	# Yet another robust estimator of scale is the $Q_n$ estimator, introduced	COMMENT
MEDIUM	examples/python/robust_models_1.py	376	# * Why? Because M-estimators are not robust to leverage points.	COMMENT
MEDIUM	examples/python/robust_models_1.py	376	# * Why? Because M-estimators are not robust to leverage points.	COMMENT
MEDIUM⚡	examples/python/influence_glm_logit.py	72	# and large Cook's distance, but not a large leverage. Observation 13 has	COMMENT
MEDIUM⚡	examples/python/influence_glm_logit.py	73	# the largest leverage but only small Cook's distance and not a large	COMMENT
MEDIUM	examples/python/mstl_decomposition.py	35	# (e.g., `robust`, `seasonal_deg`, etc.). See [STL docs](https://www.statsmo	COMMENT
MEDIUM	examples/python/regression_plots.py	53	# leverage of each observation as measured by the hat matrix.	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	80	# and reporter have low leverage but a large residual. <br />	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	81	# RR.engineer has small residual and large leverage. Conductor and	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	82	# minister have both high leverage and large residuals, and, <br />	COMMENT
MEDIUM	examples/python/regression_plots.py	252	# Closely related to the influence_plot is the leverage-resid<sup>2</sup>	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	267	# ### Using robust regression to correct for outliers.	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	270	# M-estimators are not robust to leverage points. MM-estimators should do	COMMENT
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Self-Referential Comments157 hits · 384 pts

Severity	File	Line	Snippet	Context
MEDIUM	tools/releasing/release_note.py	143	# Create a What's New Dictionary to automatically populate the template	COMMENT
MEDIUM	archive/panel/panelmod.py	171	# Initialize pandas objects.	COMMENT
MEDIUM	archive/examples/example_functional_plots.py	20	# Create a functional boxplot:	COMMENT
MEDIUM	archive/examples/example_functional_plots.py	40	# Create a rainbow plot:	COMMENT
MEDIUM	archive/examples/example_enhanced_boxplots.py	25	# Create a violin plot.	COMMENT
MEDIUM	archive/examples/example_enhanced_boxplots.py	46	# Create a bean plot.	COMMENT
MEDIUM	archive/examples/example_enhanced_boxplots.py	67	# Create a jitter plot.	COMMENT
MEDIUM	archive/examples/example_enhanced_boxplots.py	89	# Create an asymmetrical jitter plot.	COMMENT
MEDIUM	archive/examples/l1_demo/demo.py	381	# Create the probability of entering the different classes,	STRING
MEDIUM	archive/examples/l1_demo/demo.py	387	# Create the endog	STRING
MEDIUM	archive/examples/l1_demo/demo.py	402	# Create the probability of entering the different classes,	STRING
MEDIUM	archive/examples/l1_demo/demo.py	406	# Create the endog	STRING
MEDIUM	archive/examples/l1_demo/demo.py	427	# Create the noiseless exog	STRING
MEDIUM	docs/source/conf.py	5	# This file is execfile()d with the current directory set to its	COMMENT
MEDIUM	docs/source/plots/graphics_functional_rainbowplot.py	19	# Create a rainbow plot:	COMMENT
MEDIUM	docs/source/plots/graphics_functional_hdrboxplot.py	11	# Create a HDR functional boxplot. We see that the years 1982-83 and 1997-98 are	COMMENT
MEDIUM	docs/source/plots/graphics_plot_fit_ex.py	26	# Create a plot just for the variable 'Poverty':	COMMENT
MEDIUM	docs/source/plots/graphics_functional_fboxplot.py	19	# Create a functional boxplot. We see that the years 1982-83 and 1997-98 are	COMMENT
MEDIUM	examples/python/formulas.py	155	# Define a custom function:	COMMENT
MEDIUM	examples/python/plots_boxplots.py	139	# Create a violin plot.	COMMENT
MEDIUM	examples/python/plots_boxplots.py	160	# Create a bean plot.	COMMENT
MEDIUM	examples/python/plots_boxplots.py	181	# Create a jitter plot.	COMMENT
MEDIUM	examples/python/plots_boxplots.py	203	# Create an asymmetrical jitter plot.	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	224	# Create a figure	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	230	# Initialize the kernel object	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	238	# Create a subplot, set the title	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	259	# Create a figure	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	265	# Create a subplot, set the title	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	272	# Create the plot	COMMENT
MEDIUM	examples/python/statespace_sarimax_pymc.py	111	# Define the inflation series that we'll use in analysis	COMMENT
MEDIUM	examples/python/statespace_sarimax_pymc.py	132	# Create an SARIMAX model instance - here we use it to estimate	COMMENT
MEDIUM	examples/python/statespace_news.py	127	# Creating the forecasts from the results object `res` is easy - you can	COMMENT
MEDIUM	examples/python/statespace_news.py	191	# Create a new results object by passing the new observations to the	COMMENT
MEDIUM	examples/python/statespace_news.py	586	# Create the news results	COMMENT
MEDIUM	examples/python/statespace_dfm_coincident.py	227	# Create the model	COMMENT
MEDIUM	examples/python/statespace_dfm_coincident.py	806	# Create the model	COMMENT
MEDIUM	examples/python/theta-model.py	67	# This module is based on:	COMMENT
MEDIUM	examples/python/statespace_tvpvar_mcmc_cfa.py	391	# Create a matrix with [y_t' : y_{t-1}'] for t = 2, ..., T	COMMENT
MEDIUM	examples/python/statespace_tvpvar_mcmc_cfa.py	443	# The above class defined the state space model for any given dataset. Now	COMMENT
MEDIUM	examples/python/statespace_tvpvar_mcmc_cfa.py	449	# Create an instance of our TVPVAR class with our observed dataset y	COMMENT
MEDIUM	examples/python/predict.py	54	# ## Create a new sample of explanatory variables Xnew, predict and plot	COMMENT
MEDIUM	examples/python/mstl_decomposition.py	72	# ### Create a toy dataset with multiple seasonalities	COMMENT
MEDIUM	statsmodels/nonparametric/kernel_regression.py	232	# Create the matrix on p.492 in [7], after the multiplication w/ K_h,ij	COMMENT
MEDIUM	statsmodels/nonparametric/kernel_regression.py	751	# Create the matrix on p.492 in [7], after the multiplication w/ K_h,ij	COMMENT
MEDIUM	statsmodels/nonparametric/tests/test_lowess.py	235	# Create a curve that is easy to fit at first but gets	COMMENT
MEDIUM	statsmodels/datasets/utils.py	318	# The below function were taken from sklearn	COMMENT
MEDIUM	statsmodels/sandbox/stats/multicomp.py	1602	# Create the full d matrix given all known dij vals	COMMENT
MEDIUM	statsmodels/imputation/mice.py	604	# Create an indicator matrix for missing values.	COMMENT
MEDIUM	statsmodels/genmod/cov_struct.py	1480	# Create the pairs and order them	COMMENT
MEDIUM	…atsmodels/genmod/tests/gee_poisson_simulation_check.py	78	# Create an exog matrix so that E[Y] = log(dot(exog1, params))	COMMENT
MEDIUM	statsmodels/tsa/statespace/structural.py	553	# Create a bitmask holding the level/trend specification	STRING
MEDIUM	statsmodels/tsa/statespace/structural.py	562	# Create the trend specification, if it was not given	STRING
MEDIUM	statsmodels/tsa/statespace/structural.py	975	# Create the starting parameter list	COMMENT
MEDIUM	statsmodels/tsa/statespace/structural.py	1840	# Create the model name	COMMENT
MEDIUM	statsmodels/tsa/statespace/_pykalman_smoother.py	211	# Create a temporary matrix	COMMENT
MEDIUM	statsmodels/tsa/statespace/varmax.py	570	# Create the state covariance matrix	STRING
MEDIUM	statsmodels/tsa/statespace/varmax.py	647	# Create the state covariance matrix	STRING
MEDIUM	statsmodels/tsa/statespace/varmax.py	1158	# Create the model name	STRING
MEDIUM	statsmodels/tsa/statespace/varmax.py	1248	# Create the table	STRING
MEDIUM	statsmodels/tsa/statespace/dynamic_factor.py	1172	# Create the new axis	STRING
97 more matches not shown…

Deep Nesting264 hits · 258 pts

Severity	File	Line	Context
LOW	tools/validate_docstrings.py	766	CODE
LOW	tools/validate_docstrings.py	1004	CODE
LOW	tools/validate_docstrings.py	1071	CODE
LOW	tools/validate_docstrings.py	378	CODE
LOW	tools/validate_docstrings.py	518	CODE
LOW	tools/check_public_api_coverage.py	84	CODE
LOW	tools/class_coverage_report.py	124	CODE
LOW	tools/class_coverage_report.py	194	CODE
LOW	tools/export_notebooks_to_python.py	104	CODE
LOW	tools/releasing/enumerate-api.py	65	CODE
LOW	tools/releasing/enumerate-api.py	104	CODE
LOW	archive/sysreg.py	166	CODE
LOW	archive/bspline.py	35	CODE
LOW	archive/pca.py	156	CODE
LOW	archive/gam.py	64	CODE
LOW	archive/panel/panelmod.py	210	CODE
LOW	archive/tests/test_predict_functional.py	152	CODE
LOW	archive/examples/example_nbin.py	128	CODE
LOW	archive/regression/ols_anova_original.py	208	CODE
LOW	archive/regression/try_ols_anova.py	125	CODE
LOW	archive/regression/treewalkerclass.py	329	CODE
LOW	archive/distributions/genpareto.py	108	CODE
LOW	archive/distributions/sppatch.py	201	CODE
LOW	archive/stats/stats_dhuard.py	123	CODE
LOW	archive/stats/stats_dhuard.py	183	CODE
LOW	statsmodels/conftest.py	169	CODE
LOW	statsmodels/robust/covariance.py	664	CODE
LOW	statsmodels/nonparametric/smoothers_lowess.py	15	CODE
LOW	statsmodels/tools/web.py	10	CODE
LOW	statsmodels/tools/rng_qrng.py	7	CODE
LOW	statsmodels/tools/tools.py	85	CODE
LOW	statsmodels/tools/rootfinding.py	56	CODE
LOW	statsmodels/tools/docstring.py	315	CODE
LOW	statsmodels/tools/docstring.py	408	CODE
LOW	statsmodels/tools/docstring.py	520	CODE
LOW	statsmodels/tools/validation/validation.py	304	CODE
LOW	statsmodels/tools/validation/validation.py	375	CODE
LOW	statsmodels/compat/scipy.py	17	CODE
LOW	statsmodels/multivariate/multivariate_ols.py	286	CODE
LOW	statsmodels/multivariate/multivariate_ols.py	459	CODE
LOW	statsmodels/multivariate/multivariate_ols.py	622	CODE
LOW	statsmodels/multivariate/manova.py	78	CODE
LOW	statsmodels/multivariate/pca.py	331	CODE
LOW	statsmodels/multivariate/factor_rotation/_wrappers.py	17	CODE
LOW	…tsmodels/multivariate/factor_rotation/_gpa_rotation.py	29	CODE
LOW	statsmodels/discrete/discrete_model.py	1762	CODE
LOW	statsmodels/discrete/discrete_model.py	2470	CODE
LOW	statsmodels/discrete/discrete_model.py	3967	CODE
LOW	statsmodels/discrete/discrete_model.py	4822	CODE
LOW	statsmodels/discrete/discrete_margins.py	207	CODE
LOW	statsmodels/discrete/diagnostic.py	174	CODE
LOW	statsmodels/discrete/count_model.py	461	CODE
LOW	statsmodels/discrete/truncated_model.py	302	CODE
LOW	statsmodels/discrete/truncated_model.py	1566	CODE
LOW	statsmodels/datasets/utils.py	396	CODE
LOW	statsmodels/miscmodels/ordinal_model.py	126	CODE
LOW	statsmodels/iolib/summary.py	735	CODE
LOW	statsmodels/iolib/summary.py	781	CODE
LOW	statsmodels/iolib/table.py	91	CODE
LOW	statsmodels/iolib/table.py	388	CODE
204 more matches not shown…

AI Structural Patterns260 hits · 250 pts

Severity	File	Line	Context
LOW	tools/nbgenerate.py	102	CODE
LOW	tools/nbgenerate.py	171	CODE
LOW	archive/predict_functional.py	298	CODE
LOW	archive/mle.py	25	CODE
LOW	archive/mle.py	34	CODE
LOW	archive/nonparametric/densityorthopoly.py	339	CODE
LOW	archive/examples/l1_demo/demo.py	168	CODE
LOW	examples/python/statespace_sarimax_pymc.py	224	CODE
LOW	examples/python/statespace_custom_models.py	783	CODE
LOW	statsmodels/robust/tools.py	159	CODE
LOW	statsmodels/robust/covariance.py	638	CODE
LOW	statsmodels/robust/covariance.py	491	CODE
LOW	statsmodels/robust/covariance.py	893	CODE
LOW	statsmodels/robust/covariance.py	1018	CODE
LOW	statsmodels/robust/covariance.py	1324	CODE
LOW	statsmodels/robust/covariance.py	1779	CODE
LOW	statsmodels/robust/covariance.py	1913	CODE
LOW	statsmodels/robust/covariance.py	2114	CODE
LOW	statsmodels/robust/covariance.py	2369	CODE
LOW	statsmodels/robust/covariance.py	2586	CODE
LOW	statsmodels/robust/resistant_linear_model.py	143	CODE
LOW	statsmodels/robust/robust_linear_model.py	223	CODE
LOW	statsmodels/robust/scale.py	684	CODE
LOW	statsmodels/robust/scale.py	801	CODE
LOW	statsmodels/nonparametric/smoothers_lowess_old.py	136	CODE
LOW	statsmodels/nonparametric/kde.py	340	CODE
LOW	statsmodels/nonparametric/kde.py	529	CODE
LOW	statsmodels/nonparametric/kde.py	96	CODE
LOW	statsmodels/tools/rootfinding.py	56	CODE
LOW	statsmodels/tools/docstring.py	726	CODE
LOW	statsmodels/tools/_decorators.py	82	CODE
LOW	statsmodels/tools/validation/validation.py	42	CODE
LOW	statsmodels/multivariate/pca.py	212	CODE
LOW	statsmodels/multivariate/factor.py	161	CODE
LOW	statsmodels/discrete/discrete_model.py	280	CODE
LOW	statsmodels/discrete/discrete_model.py	606	CODE
LOW	statsmodels/discrete/discrete_model.py	645	CODE
LOW	statsmodels/discrete/discrete_model.py	873	CODE
LOW	statsmodels/discrete/discrete_model.py	1253	CODE
LOW	statsmodels/discrete/discrete_model.py	1482	CODE
LOW	statsmodels/discrete/discrete_model.py	2062	CODE
LOW	statsmodels/discrete/discrete_model.py	2141	CODE
LOW	statsmodels/discrete/discrete_model.py	4037	CODE
LOW	statsmodels/discrete/discrete_model.py	4124	CODE
LOW	statsmodels/discrete/discrete_model.py	4652	CODE
LOW	statsmodels/discrete/discrete_model.py	4749	CODE
LOW	statsmodels/discrete/discrete_model.py	5209	CODE
LOW	statsmodels/discrete/discrete_model.py	5185	CODE
LOW	statsmodels/discrete/discrete_model.py	5296	CODE
LOW	statsmodels/discrete/discrete_model.py	5879	CODE
LOW	statsmodels/discrete/conditional_models.py	129	CODE
LOW	statsmodels/discrete/conditional_models.py	666	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	268	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	413	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	649	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	754	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	815	CODE
LOW	statsmodels/discrete/diagnostic.py	115	CODE
LOW	statsmodels/discrete/diagnostic.py	172	CODE
LOW	statsmodels/discrete/diagnostic.py	328	CODE
200 more matches not shown…

Modern Structural Boilerplate125 hits · 124 pts

Severity	File	Line	Snippet	Context
LOW	archive/sysreg.py	9	__all__ = ["SUR", "Sem2SLS"]	CODE
LOW	archive/multilinear.py	22	logger = logging.getLogger(__name__)	CODE
LOW	archive/nonparametric/kernel_extras.py	44	__all__ = ["SemiLinear", "SingleIndexModel", "TestFForm"]	CODE
LOW	archive/panel/panelmod.py	16	__all__ = ["PanelModel"]	CODE
LOW	archive/stats/diagnostic.py	25	__all__ = [	CODE
LOW	statsmodels/conftest.py	20	logger = logging.getLogger(__name__)	CODE
LOW	statsmodels/__init__.py	29	__all__ = ["__version__", "__version_info__", "__version_tuple__", "test"]	CODE
LOW	statsmodels/api.py	1	__all__ = [	CODE
LOW	statsmodels/robust/__init__.py	2	__all__ = [	CODE
LOW	statsmodels/robust/robust_linear_model.py	29	__all__ = ["RLM"]	CODE
LOW	statsmodels/nonparametric/kernel_regression.py	53	__all__ = ["KernelCensoredReg", "KernelReg"]	CODE
LOW	statsmodels/nonparametric/kernel_density.py	47	__all__ = ["EstimatorSettings", "KDEMultivariate", "KDEMultivariateConditional"]	CODE
LOW	statsmodels/nonparametric/api.py	1	__all__ = [	CODE
LOW	statsmodels/tools/eval_measures.py	682	__all__ = [	STRING
LOW	statsmodels/tools/__init__.py	7	__all__ = ["add_constant", "test"]	CODE
LOW	statsmodels/tools/linalg.py	5	__all__ = ["logdet_symm", "matrix_sqrt", "stationary_solve", "transf_constraints"]	CODE
LOW	statsmodels/tools/_decorators.py	7	__all__ = [	CODE
LOW	statsmodels/tools/typing.py	34	__all__ = [	CODE
LOW	statsmodels/tools/validation/__init__.py	14	__all__ = [	CODE
LOW	statsmodels/compat/matplotlib.py	11	__all__ = ["MPL_LT_310"]	CODE
LOW	statsmodels/compat/pandas.py	27	__all__ = [	CODE
LOW	statsmodels/compat/__init__.py	10	__all__ = [	CODE
LOW	statsmodels/compat/numpy.py	45	__all__ = [	CODE
LOW	statsmodels/compat/platform.py	7	__all__ = [	CODE
LOW	statsmodels/compat/pytest.py	11	__all__ = ["pytest_warns"]	CODE
LOW	statsmodels/compat/scipy.py	135	__all__ = [	CODE
LOW	statsmodels/compat/python.py	33	__all__ = [	CODE
LOW	statsmodels/multivariate/api.py	1	__all__ = [	CODE
LOW	statsmodels/multivariate/factor_rotation/__init__.py	29	__all__ = [	CODE
LOW	statsmodels/multivariate/factor_rotation/_wrappers.py	14	__all__ = []	CODE
LOW	statsmodels/discrete/discrete_model.py	19	__all__ = [	CODE
LOW	statsmodels/discrete/count_model.py	1	__all__ = [	CODE
LOW	statsmodels/discrete/truncated_model.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/__init__.py	42	__all__ = [	CODE
LOW	statsmodels/datasets/statecrime/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/committee/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/engel/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/strikes/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/cpunish/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/anes96/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/heart/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/modechoice/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/randhie/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/copper/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/fertility/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/elec_equip/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/sunspots/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/china_smoking/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/star98/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/macrodata/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/scotland/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/longley/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/spector/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/cancer/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/fair/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/nile/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/ccard/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/danish_data/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/stackloss/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/elnino/__init__.py	1	__all__ = [	CODE
65 more matches not shown…

AI Response Leakage16 hits · 124 pts

Severity	File	Line	Snippet	Context
HIGH	archive/panel/mixed.py	643	# # note I have written this already as helper function, get it	COMMENT
HIGH	examples/python/glm.py	31	# In this example, we use the Star98 dataset which was taken with	COMMENT
HIGH	examples/python/glm_weights.py	27	# In this example, we'll use the affair dataset using a handful of	COMMENT
HIGH	examples/python/statespace_varmax.py	95	# uncorrelated. In this example we leave out the exogenous regressor but now	COMMENT
HIGH	examples/python/kernel_density.py	34	# In this example we will show the following:	COMMENT
HIGH	examples/python/statespace_news.py	462	# In this example, we'll consider forecasting monthly core price inflation	COMMENT
HIGH	examples/python/categorical_interaction_plot.py	16	# In this example, we will visualize the interaction between categorical	COMMENT
HIGH	examples/python/multivariate_ls.py	153	# In this example, the pvalues agree at 3 decimals.	COMMENT
HIGH	examples/python/wls.py	54	# In this example, `w` is the standard deviation of the error. `WLS`	COMMENT
HIGH⚡	examples/python/influence_glm_logit.py	71	# In this example observation 4 and 18 have a large standardized residual	COMMENT
HIGH	examples/python/metaanalysis1.py	153	# In this example the effect size is the mean of measurements in a lab. We	COMMENT
HIGH	examples/python/rolling_ls.py	149	# available for the full window length. In this example, we start once we	COMMENT
HIGH	examples/python/ordinal_regression.py	252	# In this example, the created dummy variables `C(dummy)[0.0]` and	COMMENT
HIGH	examples/incomplete/ols_table.py	13	# Note: In this example using zscored/standardized variables has no effect on	COMMENT
HIGH	…statespace/tests/test_dynamic_factor_mq_monte_carlo.py	490	# In this example, both endog_M and endog_Q are equal to the factors,	COMMENT
HIGH	…statespace/tests/test_dynamic_factor_mq_monte_carlo.py	652	# In this example, both endog_M and endog_Q are equal to the factors,	COMMENT

Excessive Try-Catch Wrapping61 hits · 59 pts

Severity	File	Line	Snippet	Context
LOW	tools/validate_docstrings.py	544	except Exception as exc:	CODE
LOW	tools/check_public_api_coverage.py	125	except Exception:	CODE
LOW	tools/check_public_api_coverage.py	155	except Exception:	CODE
LOW	tools/check_public_api_coverage.py	183	except Exception:	CODE
LOW	tools/check_public_api_coverage.py	250	except Exception:	CODE
LOW	tools/check_public_api_coverage.py	302	except Exception:	CODE
MEDIUM	tools/check_public_api_coverage.py	150	def _srcinfo(obj):	CODE
LOW	tools/nbgenerate.py	137	except Exception as e:	STRING
LOW	tools/releasing/enumerate-api.py	55	except Exception:	CODE
LOW	tools/releasing/enumerate-api.py	96	except Exception:	CODE
LOW	archive/sysreg.py	331	except Exception as exc:	CODE
LOW	archive/examples/ex_emplike_2.py	91	except Exception:	CODE
LOW	archive/examples/try_tukey_hsd.py	391	except Exception as e:	CODE
LOW	archive/examples/run_all.py	72	except Exception:	CODE
LOW	archive/examples/example_sysreg.py	159	except Exception as exc:	CODE
LOW	archive/examples/thirdparty/ex_ratereturn.py	23	except Exception: # blanket for any unpickling error	CODE
MEDIUM	archive/examples/thirdparty/ex_ratereturn.py	24	print("Error with unpickling, a new pickle file can be created with findow_1")	CODE
LOW	archive/distributions/gof_new.py	121	except Exception:	CODE
LOW	archive/distributions/tests/check_moments.py	102	except Exception:	CODE
LOW	docs/source/conf.py	511	except Exception as exc:	STRING
LOW	examples/run_all.py	38	except Exception as e:	CODE
LOW	examples/python/statespace_sarimax_internet.py	91	except Exception:	CODE
LOW	examples/python/statespace_sarimax_internet.py	101	except Exception:	CODE
LOW	statsmodels/nonparametric/kde.py	49	except Exception as exc:	CODE
MEDIUM	statsmodels/nonparametric/kde.py	46	def _checkisfit(self):	CODE
LOW	statsmodels/tools/validation/validation.py	298	except Exception as exc:	CODE
LOW	statsmodels/tools/validation/validation.py	341	except Exception:	CODE
LOW	statsmodels/tools/validation/validation.py	417	except Exception:	CODE
LOW	statsmodels/compat/patsy.py	149	except Exception:	CODE
LOW	statsmodels/datasets/utils.py	81	except Exception:	CODE
LOW	statsmodels/datasets/utils.py	222	except Exception:	CODE
LOW	statsmodels/genmod/generalized_linear_model.py	1260	except Exception as exc:	STRING
LOW	statsmodels/tsa/arima_process.py	897	except Exception as exc:	STRING
LOW	statsmodels/tsa/x13.py	591	except Exception as os_err:	STRING
LOW	statsmodels/tsa/deterministic.py	116	except Exception as exc:	CODE
LOW	statsmodels/tsa/tsatools.py	131	except Exception:	CODE
MEDIUM	statsmodels/tsa/tsatools.py	128	def safe_is_const(s):	CODE
LOW	statsmodels/tsa/ar_model.py	1883	except Exception as exc:	CODE
LOW⚡	statsmodels/tsa/statespace/mlemodel.py	5577	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/statespace/mlemodel.py	5581	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/statespace/mlemodel.py	5585	except Exception: # FIXME: catch something specific	STRING
LOW	statsmodels/tsa/vector_ar/util.py	440	except Exception:	CODE
LOW	statsmodels/tsa/regime_switching/markov_switching.py	1581	except Exception: # FIXME: catch something specific	CODE
LOW⚡	statsmodels/tsa/arima/tests/test_model.py	485	except Exception as exc:	STRING
LOW⚡	statsmodels/tsa/arima/tests/test_model.py	495	except Exception as exc:	STRING
LOW	statsmodels/tsa/ardl/model.py	1217	except Exception as exc:	CODE
LOW	statsmodels/tsa/stattools/_arma_order_selection.py	41	except Exception: # no idea what happened	CODE
LOW	statsmodels/tsa/holtwinters/model.py	259	except Exception as exc:	CODE
LOW⚡	statsmodels/tsa/exponential_smoothing/base.py	845	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/exponential_smoothing/base.py	849	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/exponential_smoothing/base.py	853	except Exception: # FIXME: catch something specific	STRING
LOW	statsmodels/tsa/base/tsa_model.py	572	except Exception as exc:	CODE
LOW	statsmodels/graphics/gofplots.py	248	except Exception as exc:	CODE
LOW	statsmodels/graphics/gofplots.py	280	except Exception as exc:	CODE
LOW	statsmodels/base/model.py	1290	except Exception as exc:	CODE
LOW	statsmodels/base/tests/test_polars_compat.py	290	except Exception as e:	CODE
LOW	statsmodels/stats/tabledist.py	94	except Exception as exc:	CODE
LOW	statsmodels/stats/diagnostic.py	1544	except Exception as exc:	STRING
LOW	statsmodels/stats/libqsturng/qsturng_.py	1915	except Exception:	CODE
LOW	statsmodels/stats/libqsturng/qsturng_.py	2099	except Exception as e:	CODE
1 more matches not shown…

Dead Code23 hits · 46 pts

Severity	File	Line	Context
MEDIUM	statsmodels/tools/tests/test_numdiff.py	333	CODE
MEDIUM	statsmodels/tools/tests/test_numdiff.py	334	CODE
MEDIUM	statsmodels/discrete/count_model.py	659	CODE
MEDIUM	statsmodels/discrete/count_model.py	660	CODE
MEDIUM	statsmodels/discrete/count_model.py	662	CODE
MEDIUM	statsmodels/discrete/count_model.py	672	CODE
MEDIUM	statsmodels/discrete/count_model.py	674	CODE
MEDIUM	statsmodels/discrete/tests/test_truncated_model.py	137	CODE
MEDIUM	statsmodels/discrete/tests/test_truncated_model.py	178	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	862	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	863	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	865	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	866	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	868	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	869	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	870	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	874	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	875	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	876	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	877	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	878	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	879	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	880	CODE

Structural Annotation Overuse22 hits · 32 pts

Severity	File	Line	Snippet	Context
LOW	examples/python/statespace_news.py	105	# #### Step 1: fitting the model on the available dataset	COMMENT
LOW	examples/python/statespace_news.py	168	# #### Step 2: computing the "news" from a new observation	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	422	# Step 3: Initialize the state vector as alpha_1 ~ N(0, 5I)	COMMENT
LOW	examples/python/statespace_forecasting.py	190	# Step 1: fit model parameters w/ training sample	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	201	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	204	# Step 3: compute root mean square forecasting error	COMMENT
LOW	examples/python/statespace_forecasting.py	243	# Step 1: append a new observation to the sample and refit the parameters	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	256	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	259	# Step 3: compute root mean square forecasting error	COMMENT
LOW⚡	statsmodels/tsa/statespace/tools.py	893	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	898	# Step 2: convert matrices from our "partial autocorrelation matrix" space	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	936	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	942	# Step 2: convert matrices from our "partial autocorrelation matrix"	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1472	# Step 1: convert matrices from the space of stationary	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1478	# Step 2: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	191	# Step 1: Compute long AR model via Yule-Walker, get residuals	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	201	# Step 2: estimate ARMA model via least squares	COMMENT
LOW	statsmodels/tsa/arima/estimators/hannan_rissanen.py	247	# Step 3: bias correction (if requested)	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	186	# Step 1: OLS	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	211	# Step 2 - 4: iterate feasible GLS to convergence	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/gls.py	232	# Step 2: ARMA	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	304	# Step 3: GLS	COMMENT

Verbosity Indicators21 hits · 31 pts

Severity	File	Line	Snippet	Context
LOW	examples/python/statespace_news.py	105	# #### Step 1: fitting the model on the available dataset	COMMENT
LOW	examples/python/statespace_news.py	168	# #### Step 2: computing the "news" from a new observation	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	422	# Step 3: Initialize the state vector as alpha_1 ~ N(0, 5I)	COMMENT
LOW	examples/python/statespace_forecasting.py	190	# Step 1: fit model parameters w/ training sample	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	201	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	204	# Step 3: compute root mean square forecasting error	COMMENT
LOW	examples/python/statespace_forecasting.py	243	# Step 1: append a new observation to the sample and refit the parameters	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	256	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	259	# Step 3: compute root mean square forecasting error	COMMENT
LOW⚡	statsmodels/tsa/statespace/tools.py	893	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	898	# Step 2: convert matrices from our "partial autocorrelation matrix" space	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	936	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	942	# Step 2: convert matrices from our "partial autocorrelation matrix"	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1472	# Step 1: convert matrices from the space of stationary	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1478	# Step 2: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	191	# Step 1: Compute long AR model via Yule-Walker, get residuals	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	201	# Step 2: estimate ARMA model via least squares	COMMENT
LOW	statsmodels/tsa/arima/estimators/hannan_rissanen.py	247	# Step 3: bias correction (if requested)	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	186	# Step 1: OLS	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/gls.py	232	# Step 2: ARMA	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	304	# Step 3: GLS	COMMENT

Hallucination Indicators2 hits · 25 pts

Severity	File	Line	Snippet	Context
CRITICAL	archive/mcevaluate/mcresuts_arma1.txt	7	scikits.statsmodels.tsa.arma_mle.Arma.fit((2,0,2))	CODE
CRITICAL	statsmodels/stats/outliers_influence.py	538	# self.results.model.family.link.deriv(self.results.fittedvalues)	COMMENT

Slop Phrases8 hits · 21 pts

Severity	File	Line	Snippet	Context
MEDIUM	archive/examples/example_discrete_mnl.py	21	# However, you can use other solvers	COMMENT
MEDIUM	examples/python/formulas.py	46	# Or you can use the following convention	COMMENT
MEDIUM	examples/python/statespace_forecasting.py	483	# you can use a Pandas series with an associated frequency, you'll have more	COMMENT
MEDIUM	examples/python/regression_plots.py	136	# For a quick check of all the regressors, you can use	COMMENT
MEDIUM	examples/python/regression_plots.py	138	# points, but you can use them to identify problems and then use	COMMENT
LOW	examples/python/statespace_custom_models.py	752	# .html), so make sure to check that for more details.	COMMENT
MEDIUM	examples/python/glm_formula.py	16	# This notebook illustrates how you can use R-style formulas to fit	COMMENT
LOW	…smodels/regression/tests/results/results_regression.py	184	# from Stata, make sure you force double to replicate	COMMENT

Redundant / Tautological Comments15 hits · 17 pts

Severity	File	Line	Snippet	Context
LOW	archive/examples/l1_demo/short_demo.py	48	# Print results	COMMENT
LOW	archive/examples/l1_demo/short_demo.py	75	# Print results	COMMENT
LOW	…odels/genmod/tests/gee_categorical_simulation_check.py	198	# Loop over data generating models	COMMENT
LOW	statsmodels/genmod/tests/gee_simulation_check.py	255	# Loop over data generating models	COMMENT
LOW	…tsmodels/genmod/tests/gee_gaussian_simulation_check.py	260	# Loop over data generating models	COMMENT
LOW	…atsmodels/genmod/tests/gee_poisson_simulation_check.py	186	# Loop over data generating models	COMMENT
LOW	statsmodels/tsa/statespace/structural.py	433	# Check if any of the trend/level components have been set, and	STRING
LOW	statsmodels/tsa/statespace/tools.py	234	# Check if we just have a scalar polynomial	STRING
LOW	statsmodels/tsa/statespace/tools.py	237	# Check if 1 was passed as the first argument (indicating an	STRING
LOW	statsmodels/tsa/statespace/representation.py	264	# Check if k_endog is actually the endog array	STRING
LOW	statsmodels/tsa/statespace/dynamic_factor_mq.py	2706	# Print output every `disp` observations	STRING
LOW	statsmodels/tsa/regime_switching/markov_switching.py	813	# Check if we need to do weighted averaging	COMMENT
LOW	statsmodels/tsa/base/tsa_model.py	212	# Check if we now have a modified index	COMMENT
LOW	statsmodels/regression/process_regression.py	973	# Check if the group exists, since _groups_ix is a	COMMENT
LOW	statsmodels/duration/tests/results/phreg_gentests.py	26	# Set this to get a reasonable amount of censoring	COMMENT

Synthetic Comment Markers2 hits · 15 pts

Severity	File	Line	Snippet	Context
HIGH	statsmodels/imputation/mice.py	611	# Order the columns as requested	COMMENT
HIGH	statsmodels/imputation/mice.py	627	# Order the rows as requested	COMMENT

TODO Padding3 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	statsmodels/tsa/statespace/exponential_smoothing.py	173	# TODO: add validation for bounds (e.g., have all bounds, upper > lower)	COMMENT
LOW	statsmodels/regression/tests/test_lme.py	32	# TODO: add tests with unequal group sizes	COMMENT
LOW	statsmodels/regression/tests/test_robustcov.py	32	# TODO: implement test_hac_simple	COMMENT

Example Usage Blocks1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	…s/genmod/tests/results/test_get_R_tweedie_var_weight.R	4	# Usage:	COMMENT

Overly Generic Function Names1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	statsmodels/tools/tests/test_web.py	26	def test_function(self):	CODE

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings