From 30f04fe4abfcbb57f67c3310a40597f5a7deffc2 Mon Sep 17 00:00:00 2001 From: Anthony Chiu Date: Wed, 7 Feb 2024 04:47:08 +0800 Subject: [PATCH] Upgrade Linters (#21) --- poetry.lock | 2706 +++++++++-------- pyproject.toml | 18 +- target_permutation_importances/functional.py | 6 +- .../sklearn_wrapper.py | 1 + target_permutation_importances/typing.py | 21 +- tests/test_functional.py | 6 - 6 files changed, 1385 insertions(+), 1373 deletions(-) diff --git a/poetry.lock b/poetry.lock index 5bd8bf7..c6717dd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,89 +1,88 @@ - -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. 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"poetry.core.masonry.api" [tool.ruff] exclude = ["__init__.py"] -select = ["E", "F", "PL", "I", "ICN", "RET", "SIM", "NPY", "RUF"] -ignore = ["E501", "PLR0913"] +lint.select = ["E", "F", "PL", "I", "ICN", "RET", "SIM", "NPY", "RUF"] +lint.ignore = ["E501", "PLR0913"] + +[tool.mypy] +exclude = [ ] +ignore_missing_imports = true +check_untyped_defs = true +python_version = "3.9" diff --git a/target_permutation_importances/functional.py b/target_permutation_importances/functional.py index d35c42b..2b64c78 100644 --- a/target_permutation_importances/functional.py +++ b/target_permutation_importances/functional.py @@ -178,9 +178,9 @@ def compute_permutation_importance_by_wasserstein_distance( "importance" ].to_numpy(), ) - mean_actual_importance_df[ - "wasserstein_distance" - ] = mean_actual_importance_df.index.map(distances) + mean_actual_importance_df["wasserstein_distance"] = ( + mean_actual_importance_df.index.map(distances) + ) # Sort by feature name to make sure the order is the same mean_actual_importance_df = mean_actual_importance_df.sort_index() diff --git a/target_permutation_importances/sklearn_wrapper.py b/target_permutation_importances/sklearn_wrapper.py index 690e3d9..e349517 100644 --- a/target_permutation_importances/sklearn_wrapper.py +++ b/target_permutation_importances/sklearn_wrapper.py @@ -1,6 +1,7 @@ """ The Sklearn Class Wrappers """ + import numpy as np import pandas as pd from beartype.typing import Any, Dict, List, Union diff --git a/target_permutation_importances/typing.py b/target_permutation_importances/typing.py index f7c2077..cbce24d 100644 --- a/target_permutation_importances/typing.py +++ b/target_permutation_importances/typing.py @@ -21,8 +21,7 @@ class XBuilderType(Protocol): # pragma: no cover return (XType): The X data """ - def __call__(self, is_random_run: bool, run_idx: int) -> XType: - ... + def __call__(self, is_random_run: bool, run_idx: int) -> XType: ... @runtime_checkable @@ -37,14 +36,12 @@ class YBuilderType(Protocol): # pragma: no cover return (YType): The y data """ - def __call__(self, is_random_run: bool, run_idx: int) -> YType: - ... + def __call__(self, is_random_run: bool, run_idx: int) -> YType: ... @runtime_checkable class ModelFitParamsBuilderType(Protocol): # pragma: no cover - def __call__(self, feature_columns: Optional[List[str]]) -> dict: - ... + def __call__(self, feature_columns: Optional[List[str]]) -> dict: ... @runtime_checkable @@ -60,8 +57,7 @@ class ModelBuilderType(Protocol): # pragma: no cover return (Any): The newly created model """ - def __call__(self, is_random_run: bool, run_idx: int) -> Any: - ... + def __call__(self, is_random_run: bool, run_idx: int) -> Any: ... @runtime_checkable @@ -77,8 +73,7 @@ class ModelFitterType(Protocol): # pragma: no cover return (Any): The fitted model """ - def __call__(self, model: Any, X: XType, y: YType) -> Any: - ... + def __call__(self, model: Any, X: XType, y: YType) -> Any: ... @runtime_checkable @@ -94,8 +89,7 @@ class ModelImportanceGetter(Protocol): # pragma: no cover return (pd.DataFrame): The return DataFrame with columns ["feature", "importance"] """ - def __call__(self, model: Any, X: XType, y: YType) -> pd.DataFrame: - ... + def __call__(self, model: Any, X: XType, y: YType) -> pd.DataFrame: ... @runtime_checkable @@ -116,5 +110,4 @@ def __call__( self, actual_importance_dfs: List[pd.DataFrame], random_importance_dfs: List[pd.DataFrame], - ) -> pd.DataFrame: - ... + ) -> pd.DataFrame: ... diff --git a/tests/test_functional.py b/tests/test_functional.py index c194dfb..bf7652c 100644 --- a/tests/test_functional.py +++ b/tests/test_functional.py @@ -129,8 +129,6 @@ def test_compute_multi_label_classification(model_cls, imp_func, xtype): ) if xtype is pd.DataFrame: X = pd.DataFrame(X, columns=[f"feature_{i}" for i in range(X.shape[1])]) - else: - X = X model_cls_params = model_cls[1].copy() if "Cat" in model_cls[0].__name__: @@ -174,8 +172,6 @@ def test_compute_multi_label_classification_with_MultiOutputClassifier( ) if xtype is pd.DataFrame: X = pd.DataFrame(X, columns=[f"feature_{i}" for i in range(X.shape[1])]) - else: - X = X if "Lasso" in model_cls[0].__name__ or "LinearSVC" in model_cls[0].__name__: return @@ -247,8 +243,6 @@ def test_compute_multi_target_regression_with_MultiOutputRegressor( ) if xtype is pd.DataFrame: X = pd.DataFrame(X, columns=[f"feature_{i}" for i in range(X.shape[1])]) - else: - X = X result_df = compute( model_cls=MultiOutputRegressor,