Update tox.ini packages version

Author: jaime-cespedes-sisniega

frouros/callbacks/base.py

@@ -57,14 +57,14 @@ def set_detector(self, detector) -> None:
     #         )
     #     self._detector = value
 
-    def on_fit_start(self, X: np.ndarray) -> None:  # noqa: N803
+    def on_fit_start(self, X: np.ndarray) -> None:  # noqa: N803, B027
         """On fit start method.
 
         :param X: reference data
         :type X: numpy.ndarray
         """
 
-    def on_fit_end(self, X: np.ndarray) -> None:  # noqa: N803
+    def on_fit_end(self, X: np.ndarray) -> None:  # noqa: N803, B027
         """On fit end method.
 
         :param X: reference data

frouros/datasets/base.py

@@ -175,7 +175,7 @@ def __repr__(self) -> str:
         )
 
 
-class BaseDatasetGenerator(abc.ABC):
+class BaseDatasetGenerator(abc.ABC):  # noqa: B024
     """Abstract class representing a dataset generator."""
 
     def __init__(self, seed: Optional[int] = None) -> None:

frouros/detectors/concept_drift/base.py

@@ -9,7 +9,7 @@
 from frouros.utils.checks import check_callbacks
 
 
-class BaseConceptDriftConfig(abc.ABC):
+class BaseConceptDriftConfig(abc.ABC):  # noqa: B024
     """Abstract class representing a concept drift configuration class."""
 
     def __init__(

frouros/detectors/concept_drift/streaming/statistical_process_control/eddm.py

@@ -367,7 +367,6 @@ def _update(self, value: Union[int, float], **kwargs) -> None:
                 self.num_instances
                 >= self.config.min_num_misclassified_instances  # type: ignore
             ):
-
                 distance_threshold = (
                     self.mean_distance_error
                     + self.config.level * self.std_distance_error  # type: ignore

frouros/detectors/data_drift/batch/statistical_test/chisquare.py

@@ -1,7 +1,8 @@
 """ChiSquareTest (Chi-square test) module."""
 
 import collections
-from typing import Optional, Tuple, Union
+import typing
+from typing import Optional, Set, Tuple, Union
 
 import numpy as np  # type: ignore
 from scipy.stats import chi2_contingency  # type: ignore
@@ -77,19 +78,20 @@ def _statistical_test(
         return test
 
     @staticmethod
+    @typing.no_type_check  # FIXME: X_ref_counter and X_counter cause mypy errors
     def _calculate_frequencies(
         X_ref: np.ndarray,  # noqa: N803
         X: np.ndarray,
     ) -> Tuple[list[int], list[int]]:
         X_ref_counter, X_counter = [  # noqa: N806
             *map(collections.Counter, [X_ref, X])  # noqa: N806
         ]
-        possible_values = set([*X_ref_counter.keys()] + [*X_counter.keys()])
+        possible_values: Set[str] = set(
+            [*X_ref_counter.keys()] + [*X_counter.keys()]
+        )  # noqa: N806
         f_exp, f_obs = {}, {}
         for value in possible_values:
-            f_exp[value] = X_ref_counter.get(value, 0)
-            f_obs[value] = X_counter.get(value, 0)
-        f_exp_values, f_obs_values = [
-            *map(list, [f_exp.values(), f_obs.values()])  # type: ignore
-        ]
-        return f_exp_values, f_obs_values  # type: ignore
+            f_exp[value] = X_ref_counter.get(value, 0)  # noqa: N806
+            f_obs[value] = X_counter.get(value, 0)  # noqa: N806
+        f_exp_values, f_obs_values = [*map(list, [f_exp.values(), f_obs.values()])]
+        return f_exp_values, f_obs_values

frouros/tests/conftest.py

@@ -389,9 +389,9 @@ def train_prediction_normal(
 
 
 @pytest.fixture(scope="module", name="dataset_simple")
-def concept_drift_dataset_simple() -> Tuple[
-    Tuple[np.ndarray, np.ndarray], Tuple[np.ndarray, np.ndarray]
-]:
+def concept_drift_dataset_simple() -> (
+    Tuple[Tuple[np.ndarray, np.ndarray], Tuple[np.ndarray, np.ndarray]]
+):
     """Dataset with multiple concepts to induce concept drift.
 
     :return: dataset split in reference and test

tox.ini

@@ -1,5 +1,5 @@
 [tox]
-minversion = 3.24.5
+minversion = 4.12.0
 envlist =
     py3{9, 10, 11, 12}
     linters
@@ -21,10 +21,10 @@ python =
 # Force to upgrade pip/wheel/setuptools to the latest version
 download = True
 deps =
-    pytest>=7.2.1,<7.3
-    pytest-cov>=4.0.0,<4.1
-    pytest-mock>=3.10.0<3.11
-    scikit-learn>=1.2.0<1.3
+    pytest>=7.4.4,<7.5
+    pytest-cov>=4.1.0,<4.2
+    pytest-mock>=3.12.0,<3.13
+    scikit-learn>=1.3.2,<1.4
 commands = pytest --cov={[base]package} \
            --cov-report term \
            --cov-report=xml
@@ -33,7 +33,7 @@ commands = pytest --cov={[base]package} \
 basepython = {[base]python}
 skip_install = {[base]skip_install}
 deps =
-    black>=22.3,<22.4
+    black>=23.12.1,<24.0
 commands = black --check --diff {[base]package}
 
 [flake8]
@@ -53,28 +53,25 @@ exclude =
     .venv,
     .env
 max-complexity = 10
-format = ${cyan}%(path)s${reset}:${yellow_bold}%(row)d${reset}:${green_bold}%(col)d${reset}: ${red_bold}%(code)s${reset} %(text)s
 
 [testenv:flake8]
 basepython = {[base]python}
 skip_install = {[base]skip_install}
 deps =
-    flake8>=4.0,<4.1
-    flake8-bugbear>=22.3,<22.4
-    flake8-docstrings>=1.6,<1.7
-    flake8-typing-imports>=1.12,<1.13
-    flake8-colors>=0.1,<0.2
-    pep8-naming>=0.12,<0.13
-    pydocstyle>=6.1,<6.2
+    flake8>=7.0.0,<8.0
+    flake8-bugbear>=23.12.2,<24.0
+    flake8-docstrings>=1.7.0,<1.8
+    flake8-typing-imports>=1.15.0,<1.16
+    pep8-naming>=0.13.3,<0.14
+    pydocstyle>=6.3.0,<6.4
 commands = flake8
 
 [testenv:mypy]
 basepython = {[base]python}
 skip_install = {[base]skip_install}
 deps =
-    # FIXME: 0.971 version generates new unhandled warnings
-    mypy>=0.941,<0.971
-    types-requests
+    mypy>=1.8.0,<1.9
+    types-requests>=2.31.0,<2.32
 plugins = numpy.typing.mypy_plugin
 commands = mypy {[base]package}
 
@@ -86,7 +83,7 @@ norecursedirs = docs
 basepython = {[base]python}
 skip_install = {[base]skip_install}
 deps =
-    pylint>=2.12,<2.13
+    pylint>=3.0.3,<3.1.0
 commands =
     pylint {[base]package} --good-names=b,d,df,e,f,h,i,j,m,n,p,w,x,y,z,r,X,en,js,kl,XY_chunks_combinations,X_chunks,X_chunks_combinations,X_concat,X_counter,X_extra,X_fold_test,X_fold_train,X_hist,X_merge,X_new_context,X_new_ref,X_num_samples,X_queue,X_sorted,X_percents,X_permuted,X_permuted_num_samples,X_permuted_,X_permuted_concat,X_permuted_ref_,X_permuted_ref_num_samples,X_preprocessed,X_ref,X_ref_hist,X_ref_counter,X_ref_percents,X_ref_rvs,X_ref_rv_histogram,X_rvs,X_rv_histogram,X_ref,_X_ref,X_ref_num_samples,X_ref_univariate,X_ref_multivariate,X_sample,X_samples,X_test,X_test_univariate,X_test_multivariate,X_train,y,Y,Y_chunks,Y_chunks_copy,Y_chunks_combinations,Y_hist,Y_percents,Y_num_samples,_X_num_samples --disable=too-many-instance-attributes,consider-using-with,too-few-public-methods --ignore-comments=yes --ignore-docstrings=yes --ignore-imports=yes --max-args=7 --min-similarity-lines=13 --extension-pkg-whitelist=scipy.special