From 24925dc03c663a32f19b53bdbab3d73576c8dd1d Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre <guillaume@probabl.ai>
Date: Sun, 6 Oct 2024 18:26:33 +0200
Subject: [PATCH 1/7] update badge Azure -> GHA

---
 README.rst | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.rst b/README.rst
index b15863bb3..fdccdbc4e 100644
--- a/README.rst
+++ b/README.rst
@@ -4,10 +4,10 @@
 
 .. _scikit-learn-contrib: https://github.com/scikit-learn-contrib
 
-|Azure|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |Pypi|_ |Gitter|_ |Black|_
+|GitHubActions|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |Pypi|_ |Gitter|_ |Black|_
 
-.. |Azure| image:: https://dev.azure.com/imbalanced-learn/imbalanced-learn/_apis/build/status/scikit-learn-contrib.imbalanced-learn?branchName=master
-.. _Azure: https://dev.azure.com/imbalanced-learn/imbalanced-learn/_build
+.. |GitHubActions| image:: https://github.com/scikit-learn-contrib/imbalanced-learn/actions/workflows/tests.yml/badge.svg
+.. _GitHubActions: https://github.com/scikit-learn-contrib/imbalanced-learn/actions/workflows/tests.yml
 
 .. |Codecov| image:: https://codecov.io/gh/scikit-learn-contrib/imbalanced-learn/branch/master/graph/badge.svg
 .. _Codecov: https://codecov.io/gh/scikit-learn-contrib/imbalanced-learn

From dbfbd6e6d0434c9fffb55592856f18897e3a4a0e Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre <guillaume@probabl.ai>
Date: Sun, 6 Oct 2024 18:52:39 +0200
Subject: [PATCH 2/7] remove dead code

---
 imblearn/base.py                              |  9 +-
 imblearn/ensemble/_bagging.py                 | 19 +---
 imblearn/ensemble/_easy_ensemble.py           | 19 +---
 imblearn/ensemble/_forest.py                  | 16 +--
 .../_smote/tests/test_smote_nc.py             | 10 +-
 imblearn/tests/test_docstring_parameters.py   | 18 ++--
 imblearn/tests/test_pipeline.py               |  3 -
 imblearn/utils/_available_if.py               | 99 -------------------
 imblearn/utils/_param_validation.py           |  4 +-
 imblearn/utils/estimator_checks.py            | 16 +--
 10 files changed, 21 insertions(+), 192 deletions(-)
 delete mode 100644 imblearn/utils/_available_if.py

diff --git a/imblearn/base.py b/imblearn/base.py
index 0b2d94e84..889587c42 100644
--- a/imblearn/base.py
+++ b/imblearn/base.py
@@ -8,14 +8,7 @@
 
 import numpy as np
 import sklearn
-from sklearn.base import BaseEstimator
-
-try:
-    # scikit-learn >= 1.2
-    from sklearn.base import OneToOneFeatureMixin
-except ImportError:
-    from sklearn.base import _OneToOneFeatureMixin as OneToOneFeatureMixin
-
+from sklearn.base import BaseEstimator, OneToOneFeatureMixin
 from sklearn.preprocessing import label_binarize
 from sklearn.utils.fixes import parse_version
 from sklearn.utils.multiclass import check_classification_targets
diff --git a/imblearn/ensemble/_bagging.py b/imblearn/ensemble/_bagging.py
index f75d954a9..b05ce2e30 100644
--- a/imblearn/ensemble/_bagging.py
+++ b/imblearn/ensemble/_bagging.py
@@ -14,24 +14,17 @@
 from sklearn.ensemble import BaggingClassifier
 from sklearn.ensemble._bagging import _parallel_decision_function
 from sklearn.ensemble._base import _partition_estimators
-from sklearn.exceptions import NotFittedError
 from sklearn.tree import DecisionTreeClassifier
 from sklearn.utils.fixes import parse_version
+from sklearn.utils.metaestimators import available_if
+from sklearn.utils.parallel import Parallel, delayed
 from sklearn.utils.validation import check_is_fitted
 
-try:
-    # scikit-learn >= 1.2
-    from sklearn.utils.parallel import Parallel, delayed
-except (ImportError, ModuleNotFoundError):
-    from joblib import Parallel
-    from sklearn.utils.fixes import delayed
-
 from ..base import _ParamsValidationMixin
 from ..pipeline import Pipeline
 from ..under_sampling import RandomUnderSampler
 from ..under_sampling.base import BaseUnderSampler
 from ..utils import Substitution, check_sampling_strategy, check_target_type
-from ..utils._available_if import available_if
 from ..utils._docstring import _n_jobs_docstring, _random_state_docstring
 from ..utils._param_validation import HasMethods, Interval, StrOptions
 from ..utils.fixes import _fit_context
@@ -443,14 +436,6 @@ def base_estimator_(self):
         error = AttributeError(
             f"{self.__class__.__name__} object has no attribute 'base_estimator_'."
         )
-        if sklearn_version < parse_version("1.2"):
-            # The base class require to have the attribute defined. For scikit-learn
-            # > 1.2, we are going to raise an error.
-            try:
-                check_is_fitted(self)
-                return self.estimator_
-            except NotFittedError:
-                raise error
         raise error
 
     def _more_tags(self):
diff --git a/imblearn/ensemble/_easy_ensemble.py b/imblearn/ensemble/_easy_ensemble.py
index fe393c8b0..0825e9fa1 100644
--- a/imblearn/ensemble/_easy_ensemble.py
+++ b/imblearn/ensemble/_easy_ensemble.py
@@ -14,24 +14,17 @@
 from sklearn.ensemble import AdaBoostClassifier, BaggingClassifier
 from sklearn.ensemble._bagging import _parallel_decision_function
 from sklearn.ensemble._base import _partition_estimators
-from sklearn.exceptions import NotFittedError
 from sklearn.utils._tags import _safe_tags
 from sklearn.utils.fixes import parse_version
+from sklearn.utils.metaestimators import available_if
+from sklearn.utils.parallel import Parallel, delayed
 from sklearn.utils.validation import check_is_fitted
 
-try:
-    # scikit-learn >= 1.2
-    from sklearn.utils.parallel import Parallel, delayed
-except (ImportError, ModuleNotFoundError):
-    from joblib import Parallel
-    from sklearn.utils.fixes import delayed
-
 from ..base import _ParamsValidationMixin
 from ..pipeline import Pipeline
 from ..under_sampling import RandomUnderSampler
 from ..under_sampling.base import BaseUnderSampler
 from ..utils import Substitution, check_sampling_strategy, check_target_type
-from ..utils._available_if import available_if
 from ..utils._docstring import _n_jobs_docstring, _random_state_docstring
 from ..utils._param_validation import Interval, StrOptions
 from ..utils.fixes import _fit_context
@@ -357,14 +350,6 @@ def base_estimator_(self):
         error = AttributeError(
             f"{self.__class__.__name__} object has no attribute 'base_estimator_'."
         )
-        if sklearn_version < parse_version("1.2"):
-            # The base class require to have the attribute defined. For scikit-learn
-            # > 1.2, we are going to raise an error.
-            try:
-                check_is_fitted(self)
-                return self.estimator_
-            except NotFittedError:
-                raise error
         raise error
 
     def _get_estimator(self):
diff --git a/imblearn/ensemble/_forest.py b/imblearn/ensemble/_forest.py
index 9d72be8cf..77e45afce 100644
--- a/imblearn/ensemble/_forest.py
+++ b/imblearn/ensemble/_forest.py
@@ -25,15 +25,9 @@
 from sklearn.utils import _safe_indexing, check_random_state
 from sklearn.utils.fixes import parse_version
 from sklearn.utils.multiclass import type_of_target
+from sklearn.utils.parallel import Parallel, delayed
 from sklearn.utils.validation import _check_sample_weight
 
-try:
-    # scikit-learn >= 1.2
-    from sklearn.utils.parallel import Parallel, delayed
-except (ImportError, ModuleNotFoundError):
-    from joblib import Parallel
-    from sklearn.utils.fixes import delayed
-
 from ..base import _ParamsValidationMixin
 from ..pipeline import make_pipeline
 from ..under_sampling import RandomUnderSampler
@@ -80,6 +74,7 @@ def _local_parallel_build_trees(
         "verbose": verbose,
         "class_weight": class_weight,
         "n_samples_bootstrap": n_samples_bootstrap,
+        "bootstrap": bootstrap,
     }
 
     if parse_version(sklearn_version.base_version) >= parse_version("1.4"):
@@ -89,13 +84,6 @@ def _local_parallel_build_trees(
             missing_values_in_feature_mask
         )
 
-    # TODO: remove when the minimum supported version of scikit-learn will be 1.1
-    # change of signature in scikit-learn 1.1
-    if parse_version(sklearn_version.base_version) >= parse_version("1.1"):
-        params_parallel_build_trees["bootstrap"] = bootstrap
-    else:
-        params_parallel_build_trees["forest"] = forest
-
     tree = _parallel_build_trees(**params_parallel_build_trees)
 
     return sampler, tree
diff --git a/imblearn/over_sampling/_smote/tests/test_smote_nc.py b/imblearn/over_sampling/_smote/tests/test_smote_nc.py
index 1314ea98b..dce2c143a 100644
--- a/imblearn/over_sampling/_smote/tests/test_smote_nc.py
+++ b/imblearn/over_sampling/_smote/tests/test_smote_nc.py
@@ -272,21 +272,17 @@ def test_smote_nc_with_null_median_std():
 def test_smotenc_categorical_encoder():
     """Check that we can pass our own categorical encoder."""
 
-    # TODO: only use `sparse_output` when sklearn >= 1.2
-    param = "sparse" if sklearn_version < parse_version("1.2") else "sparse_output"
-
     X, y, categorical_features = data_heterogneous_unordered()
     smote = SMOTENC(categorical_features=categorical_features, random_state=0)
     smote.fit_resample(X, y)
 
-    assert getattr(smote.categorical_encoder_, param) is True
+    assert getattr(smote.categorical_encoder_, "sparse_output") is True
 
-    encoder = OneHotEncoder()
-    encoder.set_params(**{param: False})
+    encoder = OneHotEncoder(sparse_output=False)
     smote.set_params(categorical_encoder=encoder).fit_resample(X, y)
     assert smote.categorical_encoder is encoder
     assert smote.categorical_encoder_ is not encoder
-    assert getattr(smote.categorical_encoder_, param) is False
+    assert getattr(smote.categorical_encoder_, "sparse_output") is False
 
 
 # TODO(0.13): remove this test
diff --git a/imblearn/tests/test_docstring_parameters.py b/imblearn/tests/test_docstring_parameters.py
index 1bd6ecf51..03b66b3cb 100644
--- a/imblearn/tests/test_docstring_parameters.py
+++ b/imblearn/tests/test_docstring_parameters.py
@@ -16,18 +16,12 @@
     check_docstring_parameters,
     ignore_warnings,
 )
-from sklearn.utils.estimator_checks import _enforce_estimator_tags_y
-
-try:
-    from sklearn.utils.estimator_checks import _enforce_estimator_tags_x
-except ImportError:
-    # scikit-learn >= 1.2
-    from sklearn.utils.estimator_checks import (
-        _enforce_estimator_tags_X as _enforce_estimator_tags_x,
-    )
-
 from sklearn.utils.deprecation import _is_deprecated
-from sklearn.utils.estimator_checks import _construct_instance
+from sklearn.utils.estimator_checks import (
+    _construct_instance,
+    _enforce_estimator_tags_X,
+    _enforce_estimator_tags_y,
+)
 
 import imblearn
 from imblearn.base import is_sampler
@@ -197,7 +191,7 @@ def test_fit_docstring_attributes(name, Estimator):
     )
 
     y = _enforce_estimator_tags_y(est, y)
-    X = _enforce_estimator_tags_x(est, X)
+    X = _enforce_estimator_tags_X(est, X)
 
     if "oob_score" in est.get_params():
         est.set_params(bootstrap=True, oob_score=True)
diff --git a/imblearn/tests/test_pipeline.py b/imblearn/tests/test_pipeline.py
index d89e03a11..3af63e2a4 100644
--- a/imblearn/tests/test_pipeline.py
+++ b/imblearn/tests/test_pipeline.py
@@ -1338,9 +1338,6 @@ def test_pipeline_param_validation():
     check_param_validation("Pipeline", model)
 
 
-@pytest.mark.skipif(
-    sklearn_version < parse_version("1.2"), reason="requires scikit-learn >= 1.2"
-)
 def test_pipeline_with_set_output():
     pd = pytest.importorskip("pandas")
     X, y = load_iris(return_X_y=True, as_frame=True)
diff --git a/imblearn/utils/_available_if.py b/imblearn/utils/_available_if.py
deleted file mode 100644
index bca75e735..000000000
--- a/imblearn/utils/_available_if.py
+++ /dev/null
@@ -1,99 +0,0 @@
-"""This is a copy of sklearn/utils/_available_if.py. It can be removed when
-we support scikit-learn >= 1.1.
-"""
-# mypy: ignore-errors
-
-from functools import update_wrapper, wraps
-from types import MethodType
-
-import sklearn
-from sklearn.utils.fixes import parse_version
-
-sklearn_version = parse_version(sklearn.__version__)
-
-if sklearn_version < parse_version("1.1"):
-
-    class _AvailableIfDescriptor:
-        """Implements a conditional property using the descriptor protocol.
-
-        Using this class to create a decorator will raise an ``AttributeError``
-        if check(self) returns a falsey value. Note that if check raises an error
-        this will also result in hasattr returning false.
-
-        See https://docs.python.org/3/howto/descriptor.html for an explanation of
-        descriptors.
-        """
-
-        def __init__(self, fn, check, attribute_name):
-            self.fn = fn
-            self.check = check
-            self.attribute_name = attribute_name
-
-            # update the docstring of the descriptor
-            update_wrapper(self, fn)
-
-        def __get__(self, obj, owner=None):
-            attr_err = AttributeError(
-                f"This {owner.__name__!r} has no attribute {self.attribute_name!r}"
-            )
-            if obj is not None:
-                # delegate only on instances, not the classes.
-                # this is to allow access to the docstrings.
-                if not self.check(obj):
-                    raise attr_err
-                out = MethodType(self.fn, obj)
-
-            else:
-                # This makes it possible to use the decorated method as an
-                # unbound method, for instance when monkeypatching.
-                @wraps(self.fn)
-                def out(*args, **kwargs):
-                    if not self.check(args[0]):
-                        raise attr_err
-                    return self.fn(*args, **kwargs)
-
-            return out
-
-    def available_if(check):
-        """An attribute that is available only if check returns a truthy value.
-
-        Parameters
-        ----------
-        check : callable
-            When passed the object with the decorated method, this should return
-            a truthy value if the attribute is available, and either return False
-            or raise an AttributeError if not available.
-
-        Returns
-        -------
-        callable
-            Callable makes the decorated method available if `check` returns
-            a truthy value, otherwise the decorated method is unavailable.
-
-        Examples
-        --------
-        >>> from sklearn.utils.metaestimators import available_if
-        >>> class HelloIfEven:
-        ...    def __init__(self, x):
-        ...        self.x = x
-        ...
-        ...    def _x_is_even(self):
-        ...        return self.x % 2 == 0
-        ...
-        ...    @available_if(_x_is_even)
-        ...    def say_hello(self):
-        ...        print("Hello")
-        ...
-        >>> obj = HelloIfEven(1)
-        >>> hasattr(obj, "say_hello")
-        False
-        >>> obj.x = 2
-        >>> hasattr(obj, "say_hello")
-        True
-        >>> obj.say_hello()
-        Hello
-        """
-        return lambda fn: _AvailableIfDescriptor(fn, check, attribute_name=fn.__name__)
-
-else:
-    from sklearn.utils.metaestimators import available_if  # noqa
diff --git a/imblearn/utils/_param_validation.py b/imblearn/utils/_param_validation.py
index 3ccabf2eb..bf74ff811 100644
--- a/imblearn/utils/_param_validation.py
+++ b/imblearn/utils/_param_validation.py
@@ -1,6 +1,4 @@
-"""This is a copy of sklearn/utils/_param_validation.py. It can be removed when
-we support scikit-learn >= 1.2.
-"""
+"""This is a copy of sklearn/utils/_param_validation.py."""
 # mypy: ignore-errors
 import functools
 import math
diff --git a/imblearn/utils/estimator_checks.py b/imblearn/utils/estimator_checks.py
index 04d886111..6e8a61b21 100644
--- a/imblearn/utils/estimator_checks.py
+++ b/imblearn/utils/estimator_checks.py
@@ -35,19 +35,11 @@
     set_random_state,
 )
 from sklearn.utils.estimator_checks import (
+    _enforce_estimator_tags_X,
     _enforce_estimator_tags_y,
     _get_check_estimator_ids,
     _maybe_mark_xfail,
 )
-
-try:
-    from sklearn.utils.estimator_checks import _enforce_estimator_tags_x
-except ImportError:
-    # scikit-learn >= 1.2
-    from sklearn.utils.estimator_checks import (
-        _enforce_estimator_tags_X as _enforce_estimator_tags_x,
-    )
-
 from sklearn.utils.fixes import parse_version
 from sklearn.utils.multiclass import type_of_target
 
@@ -602,7 +594,7 @@ def check_dataframe_column_names_consistency(name, estimator_orig):
 
     X_orig = rng.normal(size=(150, 8))
 
-    X_orig = _enforce_estimator_tags_x(estimator, X_orig)
+    X_orig = _enforce_estimator_tags_X(estimator, X_orig)
     n_samples, n_features = X_orig.shape
 
     names = np.array([f"col_{i}" for i in range(n_features)])
@@ -756,7 +748,7 @@ def check_sampler_get_feature_names_out(name, sampler_orig):
     X = StandardScaler().fit_transform(X)
 
     sampler = clone(sampler_orig)
-    X = _enforce_estimator_tags_x(sampler, X)
+    X = _enforce_estimator_tags_X(sampler, X)
 
     n_features = X.shape[1]
     set_random_state(sampler)
@@ -804,7 +796,7 @@ def check_sampler_get_feature_names_out_pandas(name, sampler_orig):
     X = StandardScaler().fit_transform(X)
 
     sampler = clone(sampler_orig)
-    X = _enforce_estimator_tags_x(sampler, X)
+    X = _enforce_estimator_tags_X(sampler, X)
 
     n_features = X.shape[1]
     set_random_state(sampler)

From e8213874b881ad9b8622de66c2af71291444fb4c Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre <guillaume@probabl.ai>
Date: Sun, 6 Oct 2024 18:59:56 +0200
Subject: [PATCH 3/7] remove dead code

---
 imblearn/base.py                                     |  4 ----
 imblearn/ensemble/tests/test_bagging.py              |  3 ---
 imblearn/ensemble/tests/test_easy_ensemble.py        |  3 ---
 imblearn/ensemble/tests/test_weight_boosting.py      |  4 ----
 imblearn/over_sampling/_smote/tests/test_smote_nc.py |  4 ----
 imblearn/tests/test_pipeline.py                      |  4 ----
 imblearn/utils/_param_validation.py                  |  2 +-
 imblearn/utils/fixes.py                              | 12 ------------
 8 files changed, 1 insertion(+), 35 deletions(-)

diff --git a/imblearn/base.py b/imblearn/base.py
index 889587c42..6e3954532 100644
--- a/imblearn/base.py
+++ b/imblearn/base.py
@@ -7,18 +7,14 @@
 from abc import ABCMeta, abstractmethod
 
 import numpy as np
-import sklearn
 from sklearn.base import BaseEstimator, OneToOneFeatureMixin
 from sklearn.preprocessing import label_binarize
-from sklearn.utils.fixes import parse_version
 from sklearn.utils.multiclass import check_classification_targets
 
 from .utils import check_sampling_strategy, check_target_type
 from .utils._param_validation import validate_parameter_constraints
 from .utils._validation import ArraysTransformer
 
-sklearn_version = parse_version(sklearn.__version__)
-
 
 class _ParamsValidationMixin:
     """Mixin class to validate parameters."""
diff --git a/imblearn/ensemble/tests/test_bagging.py b/imblearn/ensemble/tests/test_bagging.py
index 382597183..921c88816 100644
--- a/imblearn/ensemble/tests/test_bagging.py
+++ b/imblearn/ensemble/tests/test_bagging.py
@@ -7,7 +7,6 @@
 
 import numpy as np
 import pytest
-import sklearn
 from sklearn.cluster import KMeans
 from sklearn.datasets import load_iris, make_classification, make_hastie_10_2
 from sklearn.dummy import DummyClassifier
@@ -22,7 +21,6 @@
     assert_array_almost_equal,
     assert_array_equal,
 )
-from sklearn.utils.fixes import parse_version
 
 from imblearn import FunctionSampler
 from imblearn.datasets import make_imbalance
@@ -31,7 +29,6 @@
 from imblearn.pipeline import make_pipeline
 from imblearn.under_sampling import ClusterCentroids, RandomUnderSampler
 
-sklearn_version = parse_version(sklearn.__version__)
 iris = load_iris()
 
 
diff --git a/imblearn/ensemble/tests/test_easy_ensemble.py b/imblearn/ensemble/tests/test_easy_ensemble.py
index 7dc04414a..b216cd184 100644
--- a/imblearn/ensemble/tests/test_easy_ensemble.py
+++ b/imblearn/ensemble/tests/test_easy_ensemble.py
@@ -5,20 +5,17 @@
 
 import numpy as np
 import pytest
-import sklearn
 from sklearn.datasets import load_iris, make_hastie_10_2
 from sklearn.ensemble import AdaBoostClassifier
 from sklearn.feature_selection import SelectKBest
 from sklearn.model_selection import GridSearchCV, train_test_split
 from sklearn.utils._testing import assert_allclose, assert_array_equal
-from sklearn.utils.fixes import parse_version
 
 from imblearn.datasets import make_imbalance
 from imblearn.ensemble import EasyEnsembleClassifier
 from imblearn.pipeline import make_pipeline
 from imblearn.under_sampling import RandomUnderSampler
 
-sklearn_version = parse_version(sklearn.__version__)
 iris = load_iris()
 
 # Generate a global dataset to use
diff --git a/imblearn/ensemble/tests/test_weight_boosting.py b/imblearn/ensemble/tests/test_weight_boosting.py
index ad3dbca04..8096a2b16 100644
--- a/imblearn/ensemble/tests/test_weight_boosting.py
+++ b/imblearn/ensemble/tests/test_weight_boosting.py
@@ -1,15 +1,11 @@
 import numpy as np
 import pytest
-import sklearn
 from sklearn.datasets import make_classification
 from sklearn.model_selection import train_test_split
 from sklearn.utils._testing import assert_array_equal
-from sklearn.utils.fixes import parse_version
 
 from imblearn.ensemble import RUSBoostClassifier
 
-sklearn_version = parse_version(sklearn.__version__)
-
 
 @pytest.fixture
 def imbalanced_dataset():
diff --git a/imblearn/over_sampling/_smote/tests/test_smote_nc.py b/imblearn/over_sampling/_smote/tests/test_smote_nc.py
index dce2c143a..2d1e2b3f0 100644
--- a/imblearn/over_sampling/_smote/tests/test_smote_nc.py
+++ b/imblearn/over_sampling/_smote/tests/test_smote_nc.py
@@ -8,12 +8,10 @@
 
 import numpy as np
 import pytest
-import sklearn
 from scipy import sparse
 from sklearn.datasets import make_classification
 from sklearn.preprocessing import OneHotEncoder
 from sklearn.utils._testing import assert_allclose, assert_array_equal
-from sklearn.utils.fixes import parse_version
 
 from imblearn.over_sampling import SMOTENC
 from imblearn.utils.estimator_checks import (
@@ -21,8 +19,6 @@
     check_param_validation,
 )
 
-sklearn_version = parse_version(sklearn.__version__)
-
 
 def data_heterogneous_ordered():
     rng = np.random.RandomState(42)
diff --git a/imblearn/tests/test_pipeline.py b/imblearn/tests/test_pipeline.py
index 3af63e2a4..ed90b263c 100644
--- a/imblearn/tests/test_pipeline.py
+++ b/imblearn/tests/test_pipeline.py
@@ -13,7 +13,6 @@
 
 import numpy as np
 import pytest
-import sklearn
 from joblib import Memory
 from pytest import raises
 from sklearn.base import BaseEstimator, clone
@@ -31,7 +30,6 @@
     assert_array_almost_equal,
     assert_array_equal,
 )
-from sklearn.utils.fixes import parse_version
 
 from imblearn.datasets import make_imbalance
 from imblearn.pipeline import Pipeline, make_pipeline
@@ -39,8 +37,6 @@
 from imblearn.under_sampling import RandomUnderSampler
 from imblearn.utils.estimator_checks import check_param_validation
 
-sklearn_version = parse_version(sklearn.__version__)
-
 JUNK_FOOD_DOCS = (
     "the pizza pizza beer copyright",
     "the pizza burger beer copyright",
diff --git a/imblearn/utils/_param_validation.py b/imblearn/utils/_param_validation.py
index bf74ff811..c8941876e 100644
--- a/imblearn/utils/_param_validation.py
+++ b/imblearn/utils/_param_validation.py
@@ -13,9 +13,9 @@
 import sklearn
 from scipy.sparse import csr_matrix, issparse
 from sklearn.utils.fixes import parse_version
+from sklearn.utils.validation import _is_arraylike_not_scalar
 
 from .._config import config_context, get_config
-from ..utils.fixes import _is_arraylike_not_scalar
 
 sklearn_version = parse_version(sklearn.__version__)
 
diff --git a/imblearn/utils/fixes.py b/imblearn/utils/fixes.py
index 023d8a152..9e4852566 100644
--- a/imblearn/utils/fixes.py
+++ b/imblearn/utils/fixes.py
@@ -7,7 +7,6 @@
 import functools
 import sys
 
-import numpy as np
 import scipy
 import scipy.stats
 import sklearn
@@ -26,17 +25,6 @@ def _mode(a, axis=0):
     return scipy.stats.mode(a, axis=axis)
 
 
-# TODO: Remove when scikit-learn 1.1 is the minimum supported version
-if sklearn_version >= parse_version("1.1"):
-    from sklearn.utils.validation import _is_arraylike_not_scalar
-else:
-    from sklearn.utils.validation import _is_arraylike
-
-    def _is_arraylike_not_scalar(array):
-        """Return True if array is array-like and not a scalar"""
-        return _is_arraylike(array) and not np.isscalar(array)
-
-
 # TODO: remove when scikit-learn minimum version is 1.3
 if sklearn_version < parse_version("1.3"):
 

From 493e619a563b1d08e84c4fdbb6bf7d898fdc1fc0 Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre <guillaume@probabl.ai>
Date: Sun, 6 Oct 2024 22:32:32 +0200
Subject: [PATCH 4/7] iter

---
 README.rst                                    |   1 +
 imblearn/_min_dependencies.py                 |  61 --------
 imblearn/ensemble/_bagging.py                 |  23 ---
 imblearn/ensemble/_easy_ensemble.py           |   8 --
 imblearn/ensemble/_forest.py                  |  36 +----
 imblearn/ensemble/tests/test_bagging.py       |   8 --
 imblearn/ensemble/tests/test_easy_ensemble.py |   8 --
 imblearn/ensemble/tests/test_forest.py        |  12 +-
 imblearn/utils/estimator_checks.py            |  40 ++----
 imblearn/utils/tests/test_min_dependencies.py |  42 +++++-
 pixi.lock                                     | 131 +++++++++---------
 pyproject.toml                                |   2 +
 12 files changed, 118 insertions(+), 254 deletions(-)
 delete mode 100644 imblearn/_min_dependencies.py

diff --git a/README.rst b/README.rst
index fdccdbc4e..f68c1473b 100644
--- a/README.rst
+++ b/README.rst
@@ -66,6 +66,7 @@ Dependencies
 - NumPy (>= |NumPyMinVersion|)
 - SciPy (>= |SciPyMinVersion|)
 - Scikit-learn (>= |ScikitLearnMinVersion|)
+- Pytest (>= |PytestMinVersion|)
 
 Additionally, `imbalanced-learn` requires the following optional dependencies:
 
diff --git a/imblearn/_min_dependencies.py b/imblearn/_min_dependencies.py
deleted file mode 100644
index f1eac4fd8..000000000
--- a/imblearn/_min_dependencies.py
+++ /dev/null
@@ -1,61 +0,0 @@
-"""All minimum dependencies for imbalanced-learn."""
-import argparse
-
-NUMPY_MIN_VERSION = "1.24.3"
-SCIPY_MIN_VERSION = "1.10.1"
-PANDAS_MIN_VERSION = "1.5.3"
-SKLEARN_MIN_VERSION = "1.2.2"
-TENSORFLOW_MIN_VERSION = "2.13.1"
-KERAS_MIN_VERSION = "3.0.5"
-JOBLIB_MIN_VERSION = "1.1.1"
-THREADPOOLCTL_MIN_VERSION = "2.0.0"
-PYTEST_MIN_VERSION = "7.2.2"
-
-# 'build' and 'install' is included to have structured metadata for CI.
-# It will NOT be included in setup's extras_require
-# The values are (version_spec, comma separated tags)
-dependent_packages = {
-    "numpy": (NUMPY_MIN_VERSION, "install"),
-    "scipy": (SCIPY_MIN_VERSION, "install"),
-    "scikit-learn": (SKLEARN_MIN_VERSION, "install"),
-    "joblib": (JOBLIB_MIN_VERSION, "install"),
-    "threadpoolctl": (THREADPOOLCTL_MIN_VERSION, "install"),
-    "pandas": (PANDAS_MIN_VERSION, "optional, docs, examples, tests"),
-    "tensorflow": (TENSORFLOW_MIN_VERSION, "optional, docs, examples, tests"),
-    "keras": (KERAS_MIN_VERSION, "optional, docs, examples, tests"),
-    "matplotlib": ("3.7.3", "docs, examples"),
-    "seaborn": ("0.12.2", "docs, examples"),
-    "memory_profiler": ("0.61.0", "docs"),
-    "numpydoc": ("1.5.0", "docs, tests"),
-    "pytest": (PYTEST_MIN_VERSION, "tests"),
-    "pytest-cov": ("4.1.0", "tests"),
-    "pytest-xdist": ("3.5.0", "tests"),
-    "black": ("23.3.0", "tests"),
-    "ruff": ("0.4.8", "tests"),
-    "mypy": ("1.3.0", "tests"),
-    "sphinx": ("8.0.2", "docs"),
-    "sphinx-gallery": ("0.13.0", "docs"),
-    "sphinx-copybutton": ("0.5.2", "docs"),
-    "sphinxcontrib-bibtex": ("2.4.1", "docs"),
-    "pydata-sphinx-theme": ("0.15.4", "docs"),
-    "sphinx-design": ("0.6.1", "docs"),
-}
-
-
-# create inverse mapping for setuptools
-tag_to_packages: dict = {
-    extra: [] for extra in ["install", "optional", "docs", "examples", "tests"]
-}
-for package, (min_version, extras) in dependent_packages.items():
-    for extra in extras.split(", "):
-        tag_to_packages[extra].append("{}>={}".format(package, min_version))
-
-
-# Used by CI to get the min dependencies
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description="Get min dependencies for a package")
-
-    parser.add_argument("package", choices=dependent_packages)
-    args = parser.parse_args()
-    min_version = dependent_packages[args.package][0]
-    print(min_version)
diff --git a/imblearn/ensemble/_bagging.py b/imblearn/ensemble/_bagging.py
index b05ce2e30..79559cd2c 100644
--- a/imblearn/ensemble/_bagging.py
+++ b/imblearn/ensemble/_bagging.py
@@ -6,7 +6,6 @@
 
 import copy
 import numbers
-import warnings
 
 import numpy as np
 import sklearn
@@ -121,14 +120,6 @@ class BalancedBaggingClassifier(_ParamsValidationMixin, BaggingClassifier):
 
         .. versionadded:: 0.10
 
-    n_features_ : int
-        The number of features when `fit` is performed.
-
-        .. deprecated:: 1.0
-           `n_features_` is deprecated in `scikit-learn` 1.0 and will be removed
-           in version 1.2. When the minimum version of `scikit-learn` supported
-           by `imbalanced-learn` will reach 1.2, this attribute will be removed.
-
     estimators_ : list of estimators
         The collection of fitted base estimators.
 
@@ -331,20 +322,6 @@ def _validate_estimator(self, default=DecisionTreeClassifier()):
             [("sampler", self.sampler_), ("classifier", estimator)]
         )
 
-    # TODO: remove when supporting scikit-learn>=1.2
-    @property
-    def n_features_(self):
-        """Number of features when ``fit`` is performed."""
-        warnings.warn(
-            (
-                "`n_features_` was deprecated in scikit-learn 1.0. This attribute will "
-                "not be accessible when the minimum supported version of scikit-learn "
-                "is 1.2."
-            ),
-            FutureWarning,
-        )
-        return self.n_features_in_
-
     @_fit_context(prefer_skip_nested_validation=False)
     def fit(self, X, y):
         """Build a Bagging ensemble of estimators from the training set (X, y).
diff --git a/imblearn/ensemble/_easy_ensemble.py b/imblearn/ensemble/_easy_ensemble.py
index 0825e9fa1..aec7f6837 100644
--- a/imblearn/ensemble/_easy_ensemble.py
+++ b/imblearn/ensemble/_easy_ensemble.py
@@ -100,14 +100,6 @@ class EasyEnsembleClassifier(_ParamsValidationMixin, BaggingClassifier):
     n_classes_ : int or list
         The number of classes.
 
-    n_features_ : int
-        The number of features when `fit` is performed.
-
-        .. deprecated:: 1.0
-           `n_features_` is deprecated in `scikit-learn` 1.0 and will be removed
-           in version 1.2. When the minimum version of `scikit-learn` supported
-           by `imbalanced-learn` will reach 1.2, this attribute will be removed.
-
     n_features_in_ : int
         Number of features in the input dataset.
 
diff --git a/imblearn/ensemble/_forest.py b/imblearn/ensemble/_forest.py
index 77e45afce..587db01d8 100644
--- a/imblearn/ensemble/_forest.py
+++ b/imblearn/ensemble/_forest.py
@@ -343,14 +343,6 @@ class labels (multi-output problem).
         The number of classes (single output problem), or a list containing the
         number of classes for each output (multi-output problem).
 
-    n_features_ : int
-        The number of features when `fit` is performed.
-
-        .. deprecated:: 1.0
-           `n_features_` is deprecated in `scikit-learn` 1.0 and will be removed
-           in version 1.2. When the minimum version of `scikit-learn` supported
-           by `imbalanced-learn` will reach 1.2, this attribute will be removed.
-
     n_features_in_ : int
         Number of features in the input dataset.
 
@@ -502,13 +494,8 @@ def __init__(
     def _validate_estimator(self, default=DecisionTreeClassifier()):
         """Check the estimator and the n_estimator attribute, set the
         `estimator_` attribute."""
-        if hasattr(self, "estimator"):
-            base_estimator = self.estimator
-        else:
-            base_estimator = self.base_estimator
-
-        if base_estimator is not None:
-            self.estimator_ = clone(base_estimator)
+        if self.estimator is not None:
+            self.estimator_ = clone(self.estimator)
         else:
             self.estimator_ = clone(default)
 
@@ -893,22 +880,5 @@ def _compute_oob_predictions(self, X, y):
 
         return oob_pred
 
-    # TODO: remove when supporting scikit-learn>=1.2
-    @property
-    def n_features_(self):
-        """Number of features when ``fit`` is performed."""
-        warn(
-            (
-                "`n_features_` was deprecated in scikit-learn 1.0. This attribute will "
-                "not be accessible when the minimum supported version of scikit-learn "
-                "is 1.2."
-            ),
-            FutureWarning,
-        )
-        return self.n_features_in_
-
     def _more_tags(self):
-        return {
-            "multioutput": False,
-            "multilabel": False,
-        }
+        return {"multioutput": False, "multilabel": False}
diff --git a/imblearn/ensemble/tests/test_bagging.py b/imblearn/ensemble/tests/test_bagging.py
index 921c88816..640007757 100644
--- a/imblearn/ensemble/tests/test_bagging.py
+++ b/imblearn/ensemble/tests/test_bagging.py
@@ -581,11 +581,3 @@ def roughly_balanced_bagging(X, y, replace=False):
     for estimator in rbb.estimators_:
         class_counts = estimator[-1].class_counts_
         assert (class_counts[0] / class_counts[1]) > 0.78
-
-
-def test_balanced_bagging_classifier_n_features():
-    """Check that we raise a FutureWarning when accessing `n_features_`."""
-    X, y = load_iris(return_X_y=True)
-    estimator = BalancedBaggingClassifier().fit(X, y)
-    with pytest.warns(FutureWarning, match="`n_features_` was deprecated"):
-        estimator.n_features_
diff --git a/imblearn/ensemble/tests/test_easy_ensemble.py b/imblearn/ensemble/tests/test_easy_ensemble.py
index b216cd184..6fe50500f 100644
--- a/imblearn/ensemble/tests/test_easy_ensemble.py
+++ b/imblearn/ensemble/tests/test_easy_ensemble.py
@@ -222,11 +222,3 @@ def test_easy_ensemble_classifier_grid_search():
         cv=5,
     )
     grid_search.fit(X, y)
-
-
-def test_easy_ensemble_classifier_n_features():
-    """Check that we raise a FutureWarning when accessing `n_features_`."""
-    X, y = load_iris(return_X_y=True)
-    estimator = EasyEnsembleClassifier().fit(X, y)
-    with pytest.warns(FutureWarning, match="`n_features_` was deprecated"):
-        estimator.n_features_
diff --git a/imblearn/ensemble/tests/test_forest.py b/imblearn/ensemble/tests/test_forest.py
index 3719568e5..792824531 100644
--- a/imblearn/ensemble/tests/test_forest.py
+++ b/imblearn/ensemble/tests/test_forest.py
@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 import sklearn
-from sklearn.datasets import load_iris, make_classification
+from sklearn.datasets import make_classification
 from sklearn.model_selection import GridSearchCV, train_test_split
 from sklearn.utils._testing import assert_allclose, assert_array_equal
 from sklearn.utils.fixes import parse_version
@@ -219,16 +219,6 @@ def test_balanced_random_forest_oob_binomial(ratio):
     assert np.abs(erf.oob_score_ - 0.5) < 0.1
 
 
-def test_balanced_bagging_classifier_n_features():
-    """Check that we raise a FutureWarning when accessing `n_features_`."""
-    X, y = load_iris(return_X_y=True)
-    estimator = BalancedRandomForestClassifier(
-        sampling_strategy="all", replacement=True, bootstrap=False
-    ).fit(X, y)
-    with pytest.warns(FutureWarning, match="`n_features_` was deprecated"):
-        estimator.n_features_
-
-
 # TODO: remove in 0.13
 def test_balanced_random_forest_change_behaviour(imbalanced_dataset):
     """Check that we raise a change of behaviour for the parameters `sampling_strategy`
diff --git a/imblearn/utils/estimator_checks.py b/imblearn/utils/estimator_checks.py
index 6e8a61b21..271df753b 100644
--- a/imblearn/utils/estimator_checks.py
+++ b/imblearn/utils/estimator_checks.py
@@ -73,10 +73,7 @@ def _set_checking_parameters(estimator):
     if "n_estimators" in params:
         estimator.set_params(n_estimators=min(5, estimator.n_estimators))
     if name == "ClusterCentroids":
-        if sklearn_version < parse_version("1.1"):
-            algorithm = "full"
-        else:
-            algorithm = "lloyd"
+        algorithm = "lloyd"
         estimator.set_params(
             voting="soft",
             estimator=KMeans(random_state=0, algorithm=algorithm, n_init=1),
@@ -689,33 +686,14 @@ def check_dataframe_column_names_consistency(name, estimator_orig):
         X_bad = pd.DataFrame(X, columns=invalid_name)
 
         for name, method in check_methods:
-            if sklearn_version >= parse_version("1.2"):
-                expected_msg = re.escape(
-                    "The feature names should match those that were passed during fit."
-                    f"\n{additional_message}"
-                )
-                with raises(
-                    ValueError, match=expected_msg, err_msg=f"{name} did not raise"
-                ):
-                    method(X_bad)
-            else:
-                expected_msg = re.escape(
-                    "The feature names should match those that were passed "
-                    "during fit. Starting version 1.2, an error will be raised.\n"
-                    f"{additional_message}"
-                )
-                with warnings.catch_warnings():
-                    warnings.filterwarnings(
-                        "error",
-                        category=FutureWarning,
-                        module="sklearn",
-                    )
-                    with raises(
-                        FutureWarning,
-                        match=expected_msg,
-                        err_msg=f"{name} did not raise",
-                    ):
-                        method(X_bad)
+            expected_msg = re.escape(
+                "The feature names should match those that were passed during fit."
+                f"\n{additional_message}"
+            )
+            with raises(
+                ValueError, match=expected_msg, err_msg=f"{name} did not raise"
+            ):
+                method(X_bad)
 
         # partial_fit checks on second call
         # Do not call partial fit if early_stopping is on
diff --git a/imblearn/utils/tests/test_min_dependencies.py b/imblearn/utils/tests/test_min_dependencies.py
index cd537030c..7a9acd397 100644
--- a/imblearn/utils/tests/test_min_dependencies.py
+++ b/imblearn/utils/tests/test_min_dependencies.py
@@ -1,14 +1,16 @@
 """Tests for the minimum dependencies in the README.rst file."""
+
 import os
 import platform
 import re
 from pathlib import Path
 
 import pytest
-from sklearn.utils.fixes import parse_version
+import tomllib
+from packaging.requirements import Requirement
+from packaging.version import parse
 
 import imblearn
-from imblearn._min_dependencies import dependent_packages
 
 
 @pytest.mark.skipif(
@@ -17,7 +19,35 @@
 def test_min_dependencies_readme():
     # Test that the minimum dependencies in the README.rst file are
     # consistent with the minimum dependencies defined at the file:
-    # imblearn/_min_dependencies.py
+    # pyproject.toml
+
+    pyproject_path = Path(imblearn.__path__[0]).parents[0] / "pyproject.toml"
+    with open(pyproject_path, "rb") as f:
+        pyproject_data = tomllib.load(f)
+
+    def process_requirements(requirements):
+        result = {}
+        for req in requirements:
+            req = Requirement(req)
+            for specifier in req.specifier:
+                if specifier.operator == ">=":
+                    result[req.name] = parse(specifier.version)
+        return result
+
+    min_dependencies = process_requirements(
+        [f"python{pyproject_data['project']['requires-python']}"]
+    )
+    min_dependencies.update(
+        process_requirements(pyproject_data["project"]["dependencies"])
+    )
+
+    markers = ["docs", "optional", "tensorflow", "keras", "tests"]
+    for marker_name in markers:
+        min_dependencies.update(
+            process_requirements(
+                pyproject_data["project"]["optional-dependencies"][marker_name]
+            )
+        )
 
     pattern = re.compile(
         r"(\.\. \|)"
@@ -44,8 +74,8 @@ def test_min_dependencies_readme():
             package, version = matched.group(2), matched.group(5)
             package = package.lower()
 
-            if package in dependent_packages:
-                version = parse_version(version)
-                min_version = parse_version(dependent_packages[package][0])
+            if package in min_dependencies:
+                version = parse(version)
+                min_version = min_dependencies[package]
 
                 assert version == min_version, f"{package} has a mismatched version"
diff --git a/pixi.lock b/pixi.lock
index 9a7715de1..f3b64c5e6 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2770,7 +2770,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-19.1.0-default_h9c6a7e4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h4637d8d_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.21-h4bc722e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.123-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_1.conda
@@ -2807,7 +2807,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-h6565414_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.4.0-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda
@@ -3090,7 +3090,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcurl-8.10.1-h58e7537_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-19.1.1-hf95d169_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.21-hfdf4475_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.22-h00291cd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libedit-3.1.20191231-h0678c8f_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libev-4.33-h10d778d_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.3-hac325c4_0.conda
@@ -3108,7 +3108,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.20-hfdf4475_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.46.1-h4b8f8c9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libssh2-1.11.0-hd019ec5_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.7.0-h5f227bf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.7.0-h583c2ba_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libwebp-base-1.4.0-h10d778d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.17.0-hf1f96e2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-hd23fc13_2.conda
@@ -3359,7 +3359,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-24_osxarm64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcurl-8.10.1-h13a7ad3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-19.1.1-ha82da77_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.21-h99b78c6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.22-hd74edd7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20191231-hc8eb9b7_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libev-4.33-h93a5062_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.3-hf9b8971_0.conda
@@ -3377,7 +3377,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.20-h99b78c6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.46.1-hc14010f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libssh2-1.11.0-h7a5bd25_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.7.0-h9c1d414_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.7.0-hfce79cd_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.4.0-h93a5062_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.17.0-hdb1d25a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-h8359307_2.conda
@@ -3608,7 +3608,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-19.1.0-default_h9c6a7e4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h4637d8d_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.21-h4bc722e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.123-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_1.conda
@@ -3644,7 +3644,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-h6565414_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.4.0-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda
@@ -3831,7 +3831,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcurl-8.10.1-h58e7537_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-19.1.1-hf95d169_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.21-hfdf4475_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.22-h00291cd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libedit-3.1.20191231-h0678c8f_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libev-4.33-h10d778d_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.3-hac325c4_0.conda
@@ -3848,7 +3848,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libre2-11-2023.09.01-h81f5012_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.46.1-h4b8f8c9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libssh2-1.11.0-hd019ec5_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.7.0-h5f227bf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.7.0-h583c2ba_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libwebp-base-1.4.0-h10d778d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.17.0-hf1f96e2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-hd23fc13_2.conda
@@ -4001,7 +4001,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-24_osxarm64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcurl-8.10.1-h13a7ad3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-19.1.1-ha82da77_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.21-h99b78c6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.22-hd74edd7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20191231-hc8eb9b7_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libev-4.33-h93a5062_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.3-hf9b8971_0.conda
@@ -4018,7 +4018,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libre2-11-2023.09.01-h7b2c953_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.46.1-hc14010f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libssh2-1.11.0-h7a5bd25_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.7.0-h9c1d414_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.7.0-hfce79cd_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.4.0-h93a5062_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.17.0-hdb1d25a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-h8359307_2.conda
@@ -8413,7 +8413,7 @@ packages:
   name: imbalanced-learn
   version: 0.13.0.dev0
   path: .
-  sha256: 4b3127262d1e08d7e06274f80b8dc1dd8f7b94cb2529aa9f5bea1a07eebf9d6b
+  sha256: 6c5d43d5dc04feb801c87f245b32d35e26a70b8dafe7d9a2a8603abdb8f2c9b6
   requires_dist:
   - numpy<3,>=1.24.3
   - scipy<2,>=1.10.1
@@ -8442,6 +8442,7 @@ packages:
   - pre-commit ; extra == 'linters'
   - pandas<3,>=1.5.3 ; extra == 'optional'
   - tensorflow<3,>=2.13.1 ; extra == 'tensorflow'
+  - packaging<25,>=23.2 ; extra == 'tests'
   - pytest<9,>=7.2.2 ; extra == 'tests'
   - pytest-cov<6,>=4.1.0 ; extra == 'tests'
   - pytest-xdist<4,>=3.5.0 ; extra == 'tests'
@@ -10289,50 +10290,47 @@ packages:
   timestamp: 1727863581528
 - kind: conda
   name: libdeflate
-  version: '1.21'
-  build: h4bc722e_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.21-h4bc722e_0.conda
-  sha256: 728c24ce835700bfdfdf106bf04233fdb040a61ca4ecfd3f41b46fa90cd4f971
-  md5: 36ce76665bf67f5aac36be7a0d21b7f3
+  version: '1.22'
+  build: h00291cd_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.22-h00291cd_0.conda
+  sha256: 681035346974c3315685dc40898e26f65f1c00cbb0b5fd80cc2599e207a34b31
+  md5: a15785ccc62ae2a8febd299424081efb
   depends:
-  - __glibc >=2.17,<3.0.a0
-  - libgcc-ng >=12
+  - __osx >=10.13
   license: MIT
-  license_family: MIT
   purls: []
-  size: 71163
-  timestamp: 1722820138782
+  size: 70407
+  timestamp: 1728177128525
 - kind: conda
   name: libdeflate
-  version: '1.21'
-  build: h99b78c6_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.21-h99b78c6_0.conda
-  sha256: 243ca6d733954df9522eb9da24f5fe58da7ac19a2ca9438fd4abef5bb2cd1f83
-  md5: 67d666c1516be5a023c3aaa85867099b
+  version: '1.22'
+  build: hb9d3cd8_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda
+  sha256: 780f0530a3adfc1497ba49d626931c6afc978c540e1abfde6ccd57128ded6ad6
+  md5: b422943d5d772b7cc858b36ad2a92db5
   depends:
-  - __osx >=11.0
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   license: MIT
-  license_family: MIT
   purls: []
-  size: 54533
-  timestamp: 1722820240854
+  size: 72242
+  timestamp: 1728177071251
 - kind: conda
   name: libdeflate
-  version: '1.21'
-  build: hfdf4475_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.21-hfdf4475_0.conda
-  sha256: 1defb3e5243a74a9ef64de2a47812f524664e46ca9dbecb8d7c746cb1779038e
-  md5: 88409b23a5585c15d52de0073f3c9c61
+  version: '1.22'
+  build: hd74edd7_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.22-hd74edd7_0.conda
+  sha256: 3552894ca62bebc33d05982937cda25a4fa19e56a82af2ff20944ff4c2532fda
+  md5: 2d3e3f3d8ab315748420ef58d5a3ae0f
   depends:
-  - __osx >=10.13
+  - __osx >=11.0
   license: MIT
-  license_family: MIT
   purls: []
-  size: 70570
-  timestamp: 1722820232914
+  size: 54089
+  timestamp: 1728177149927
 - kind: conda
   name: libdrm
   version: 2.4.123
@@ -11954,16 +11952,17 @@ packages:
 - kind: conda
   name: libtiff
   version: 4.7.0
-  build: h5f227bf_0
+  build: h583c2ba_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.7.0-h5f227bf_0.conda
-  sha256: 7a348f9e5833b3ade5036eb12e8ba8b4f4518413ee777ab6666766bb93db98d1
-  md5: 2ae42f38aacee5eda6c541cad957e703
+  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.7.0-h583c2ba_1.conda
+  sha256: 4d58c695dfed6f308d0fd3ff552e0078bb98bc0be2ea0bf55820eb6e86fa5355
+  md5: 4b78bcdcc8780cede8b3d090deba874d
   depends:
   - __osx >=10.13
   - lerc >=4.0.0,<5.0a0
   - libcxx >=17
-  - libdeflate >=1.21,<1.22.0a0
+  - libdeflate >=1.22,<1.23.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libwebp-base >=1.4.0,<2.0a0
   - libzlib >=1.3.1,<2.0a0
@@ -11971,20 +11970,21 @@ packages:
   - zstd >=1.5.6,<1.6.0a0
   license: HPND
   purls: []
-  size: 395973
-  timestamp: 1726667328916
+  size: 395980
+  timestamp: 1728232302162
 - kind: conda
   name: libtiff
   version: 4.7.0
-  build: h6565414_0
+  build: he137b08_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-h6565414_0.conda
-  sha256: f50a0516ec5bbe6270f1a44feb8dae15626c62166d6c02a013bb0e5982eb0dd8
-  md5: 80eaf80d84668fa5620ac9ec1b4bf56f
+  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda
+  sha256: 9890121db85f6ef463fe12eb04ef1471176e3ef3b5e2d62e8d6dac713df00df4
+  md5: 63872517c98aa305da58a757c443698e
   depends:
   - __glibc >=2.17,<3.0.a0
   - lerc >=4.0.0,<5.0a0
-  - libdeflate >=1.21,<1.22.0a0
+  - libdeflate >=1.22,<1.23.0a0
   - libgcc >=13
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libstdcxx >=13
@@ -11994,21 +11994,22 @@ packages:
   - zstd >=1.5.6,<1.6.0a0
   license: HPND
   purls: []
-  size: 428159
-  timestamp: 1726667242674
+  size: 428156
+  timestamp: 1728232228989
 - kind: conda
   name: libtiff
   version: 4.7.0
-  build: h9c1d414_0
+  build: hfce79cd_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.7.0-h9c1d414_0.conda
-  sha256: 2fb2d204de0ef47518587da769a0dfb114cce4ae4d4ba3b60a9f59d9759f9800
-  md5: 5f8f92ddf488a4cd50f9f5a9c4ff27c4
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.7.0-hfce79cd_1.conda
+  sha256: 97ba24c74750b6e731b3fe0d2a751cda6148b4937d2cc3f72d43bf7b3885c39d
+  md5: b9abf45f7c64caf3303725f1aa0e9a4d
   depends:
   - __osx >=11.0
   - lerc >=4.0.0,<5.0a0
   - libcxx >=17
-  - libdeflate >=1.21,<1.22.0a0
+  - libdeflate >=1.22,<1.23.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libwebp-base >=1.4.0,<2.0a0
   - libzlib >=1.3.1,<2.0a0
@@ -12016,8 +12017,8 @@ packages:
   - zstd >=1.5.6,<1.6.0a0
   license: HPND
   purls: []
-  size: 367224
-  timestamp: 1726667500299
+  size: 366323
+  timestamp: 1728232400072
 - kind: conda
   name: libuuid
   version: 2.38.1
diff --git a/pyproject.toml b/pyproject.toml
index 840d8deb2..ac97b0ecf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -71,6 +71,7 @@ keras = [
     "keras>=3.0.5,<4",
 ]
 tests = [
+    "packaging>=23.2,<25",
     "pytest>=7.2.2,<9",
     "pytest-cov>=4.1.0,<6",
     "pytest-xdist>=3.5.0,<4",
@@ -172,6 +173,7 @@ python = "~=3.11.0"
 python = "~=3.12.0"
 
 [tool.pixi.feature.tests.dependencies]
+packaging = ">=23.2,<25"
 pytest-cov = ">=4.1.0,<6"
 pytest-xdist = ">=3.5.0,<4"
 

From 09570a3c53642e2bb5cabbca1f92cdd97990fb82 Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre <guillaume@probabl.ai>
Date: Sun, 6 Oct 2024 22:36:05 +0200
Subject: [PATCH 5/7] ite

---
 imblearn/utils/tests/test_min_dependencies.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/imblearn/utils/tests/test_min_dependencies.py b/imblearn/utils/tests/test_min_dependencies.py
index 7a9acd397..ff2fe9cb9 100644
--- a/imblearn/utils/tests/test_min_dependencies.py
+++ b/imblearn/utils/tests/test_min_dependencies.py
@@ -6,7 +6,6 @@
 from pathlib import Path
 
 import pytest
-import tomllib
 from packaging.requirements import Requirement
 from packaging.version import parse
 
@@ -14,9 +13,13 @@
 
 
 @pytest.mark.skipif(
-    platform.system() == "Windows", reason="This test is enough on unix system"
+    platform.system() == "Windows" or parse(platform.python_version()) < parse("3.11"),
+    reason="This test is enough on unix system and requires Python >= 3.11",
 )
 def test_min_dependencies_readme():
+    # local import to not import the file with Python < 3.11
+    import tomllib
+
     # Test that the minimum dependencies in the README.rst file are
     # consistent with the minimum dependencies defined at the file:
     # pyproject.toml

From e42f6a53c37772a5f3add80ab64e73b645c0e89c Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre <guillaume@probabl.ai>
Date: Sun, 6 Oct 2024 22:54:25 +0200
Subject: [PATCH 6/7] iter

---
 imblearn/utils/estimator_checks.py            |  49 ++++----
 imblearn/utils/tests/test_estimator_checks.py |   2 +-
 pixi.lock                                     | 116 ++----------------
 pyproject.toml                                |   4 +-
 4 files changed, 35 insertions(+), 136 deletions(-)

diff --git a/imblearn/utils/estimator_checks.py b/imblearn/utils/estimator_checks.py
index 271df753b..fc58c321c 100644
--- a/imblearn/utils/estimator_checks.py
+++ b/imblearn/utils/estimator_checks.py
@@ -12,7 +12,6 @@
 from functools import partial
 
 import numpy as np
-import pytest
 import sklearn
 from scipy import sparse
 from sklearn.base import clone, is_classifier, is_regressor
@@ -30,7 +29,6 @@
     SkipTest,
     assert_allclose,
     assert_array_equal,
-    assert_raises_regex,
     raises,
     set_random_state,
 )
@@ -62,11 +60,6 @@ def sample_dataset_generator():
     return X, y
 
 
-@pytest.fixture(name="sample_dataset_generator")
-def sample_dataset_generator_fixture():
-    return sample_dataset_generator()
-
-
 def _set_checking_parameters(estimator):
     params = estimator.get_params()
     name = estimator.__class__.__name__
@@ -166,6 +159,7 @@ def parametrize_with_checks(estimators):
     ... def test_sklearn_compatible_estimator(estimator, check):
     ...     check(estimator)
     """
+    import pytest
 
     def checks_generator():
         for estimator in estimators:
@@ -185,24 +179,14 @@ def check_target_type(name, estimator_orig):
     X = np.random.random((20, 2))
     y = np.linspace(0, 1, 20)
     msg = "Unknown label type:"
-    assert_raises_regex(
-        ValueError,
-        msg,
-        estimator.fit_resample,
-        X,
-        y,
-    )
+    with raises(ValueError, err_msg=msg):
+        estimator.fit_resample(X, y)
     # if the target is multilabel then we should raise an error
     rng = np.random.RandomState(42)
     y = rng.randint(2, size=(20, 3))
     msg = "Multilabel and multioutput targets are not supported."
-    assert_raises_regex(
-        ValueError,
-        msg,
-        estimator.fit_resample,
-        X,
-        y,
-    )
+    with raises(ValueError, err_msg=msg):
+        estimator.fit_resample(X, y)
 
 
 def check_samplers_one_label(name, sampler_orig):
@@ -303,7 +287,12 @@ def check_samplers_sparse(name, sampler_orig):
 
 
 def check_samplers_pandas_sparse(name, sampler_orig):
-    pd = pytest.importorskip("pandas")
+    try:
+        import pandas as pd
+    except ImportError:
+        raise SkipTest(
+            "pandas is not installed: not checking column name consistency for pandas"
+        )
     sampler = clone(sampler_orig)
     # Check that the samplers handle pandas dataframe and pandas series
     X, y = sample_dataset_generator()
@@ -331,7 +320,12 @@ def check_samplers_pandas_sparse(name, sampler_orig):
 
 
 def check_samplers_pandas(name, sampler_orig):
-    pd = pytest.importorskip("pandas")
+    try:
+        import pandas as pd
+    except ImportError:
+        raise SkipTest(
+            "pandas is not installed: not checking column name consistency for pandas"
+        )
     sampler = clone(sampler_orig)
     # Check that the samplers handle pandas dataframe and pandas series
     X, y = sample_dataset_generator()
@@ -451,14 +445,19 @@ def check_classifier_on_multilabel_or_multioutput_targets(name, estimator_orig):
     estimator = clone(estimator_orig)
     X, y = make_multilabel_classification(n_samples=30)
     msg = "Multilabel and multioutput targets are not supported."
-    with pytest.raises(ValueError, match=msg):
+    with raises(ValueError, match=msg):
         estimator.fit(X, y)
 
 
 def check_classifiers_with_encoded_labels(name, classifier_orig):
     # Non-regression test for #709
     # https://github.com/scikit-learn-contrib/imbalanced-learn/issues/709
-    pd = pytest.importorskip("pandas")
+    try:
+        import pandas as pd
+    except ImportError:
+        raise SkipTest(
+            "pandas is not installed: not checking column name consistency for pandas"
+        )
     classifier = clone(classifier_orig)
     iris = load_iris(as_frame=True)
     df, y = iris.data, iris.target
diff --git a/imblearn/utils/tests/test_estimator_checks.py b/imblearn/utils/tests/test_estimator_checks.py
index ca704f222..32e9c6723 100644
--- a/imblearn/utils/tests/test_estimator_checks.py
+++ b/imblearn/utils/tests/test_estimator_checks.py
@@ -98,7 +98,7 @@ def test_check_samplers_nan():
 
 
 mapping_estimator_error = {
-    "BaseBadSampler": (AssertionError, "ValueError not raised by fit"),
+    "BaseBadSampler": (AssertionError, None),
     "SamplerSingleClass": (AssertionError, "Sampler can't balance when only"),
     "NotFittedSampler": (AssertionError, "No fitted attribute"),
     "NoAcceptingSparseSampler": (TypeError, "dense data is required"),
diff --git a/pixi.lock b/pixi.lock
index f3b64c5e6..7a151ce5f 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -9,7 +9,6 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hf71b8c6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
@@ -54,7 +53,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.10.15-h4a871b0_1_cpython.conda
@@ -75,7 +74,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
       - pypi: .
       osx-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py310h53e7c6a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.8.30-h8857fd0_0.conda
@@ -112,7 +110,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.10.15-h6bafeb6_1_cpython.conda
@@ -133,7 +131,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
       - pypi: .
       osx-arm64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py310hb4ad77e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.8.30-hf0a4a13_0.conda
@@ -170,7 +167,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.10.15-h7d35d02_1_cpython.conda
@@ -191,7 +188,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
       - pypi: .
       win-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py310h9e98ed7_2.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.8.30-h56e8100_0.conda
@@ -234,7 +230,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.10.15-hfaddaf0_1_cpython.conda
@@ -480,7 +476,6 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hf71b8c6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
@@ -526,7 +521,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.10.15-h4a871b0_1_cpython.conda
@@ -550,7 +545,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
       - pypi: .
       osx-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py310h53e7c6a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.8.30-h8857fd0_0.conda
@@ -588,7 +582,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.10.15-h6bafeb6_1_cpython.conda
@@ -612,7 +606,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
       - pypi: .
       osx-arm64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py310hb4ad77e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.8.30-hf0a4a13_0.conda
@@ -650,7 +643,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.10.15-h7d35d02_1_cpython.conda
@@ -674,7 +667,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
       - pypi: .
       win-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py310h9e98ed7_2.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.8.30-h56e8100_0.conda
@@ -718,7 +710,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.10.15-hfaddaf0_1_cpython.conda
@@ -2483,9 +2475,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-24_linux64_openblas.conda
@@ -2510,9 +2499,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.7-hc5c86c4_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
@@ -2521,16 +2507,12 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.1.0-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - pypi: .
       osx-64:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.8.30-h8857fd0_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
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@@ -2547,9 +2529,6 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.11.10-hc5c86c4_2_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-5_cp311.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py311h9ecbd09_1.conda
@@ -4178,7 +4125,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py311hd18a35c_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.6-pyhd8ed1ab_0.conda
@@ -4192,12 +4138,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.17.1-py311h137bacd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
@@ -4219,10 +4162,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-0.12.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.11.10-h8f8b54e_2_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.11-5_cp311.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.2-py311h3336109_1.conda
@@ -4233,7 +4174,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/tk-8.6.13-h1abcd95_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py311hf2f7c97_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.6-pyhd8ed1ab_0.conda
@@ -4247,12 +4187,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.17.1-py311h3a79f62_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-24_osxarm64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-24_osxarm64_openblas.conda
@@ -4274,10 +4211,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-0.12.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.11.10-h739c21a_2_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.11-5_cp311.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.2-py311h460d6c5_1.conda
@@ -4288,7 +4223,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py311h2c37856_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.6-pyhd8ed1ab_0.conda
@@ -4304,10 +4238,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-win_pyh7428d3b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.2.1-h57928b3_1083.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-24_win64_mkl.conda
@@ -4328,11 +4260,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-0.12.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.11.10-hce54a09_2_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.11-5_cp311.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.2-py311he736701_1.conda
@@ -4343,7 +4273,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-hc790b64_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py311h3257749_5.conda
@@ -8413,14 +8342,13 @@ packages:
   name: imbalanced-learn
   version: 0.13.0.dev0
   path: .
-  sha256: 6c5d43d5dc04feb801c87f245b32d35e26a70b8dafe7d9a2a8603abdb8f2c9b6
+  sha256: d8c21bd48db96b9d5a14cd694ad42f90c64d55f356e5cd3a8b70111ff59af47a
   requires_dist:
   - numpy<3,>=1.24.3
   - scipy<2,>=1.10.1
   - scikit-learn<2,>=1.2.2
   - joblib<2,>=1.1.1
   - threadpoolctl<4,>=2.0.0
-  - pytest<9,>=7.2.2
   - ipykernel ; extra == 'dev'
   - ipython ; extra == 'dev'
   - jupyterlab ; extra == 'dev'
@@ -15981,32 +15909,6 @@ packages:
   - pkg:pypi/pysocks?source=hash-mapping
   size: 18981
   timestamp: 1661604969727
-- kind: conda
-  name: pytest
-  version: 7.2.2
-  build: pyhd8ed1ab_0
-  subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.2-pyhd8ed1ab_0.conda
-  sha256: d074ef1e2ffc3334927c281e4b79aebfa8eefd2d1588c3830a45ba4bce3e6ea9
-  md5: 60958b19354e0ec295b43f6ab5cfab86
-  depends:
-  - attrs >=19.2.0
-  - colorama
-  - exceptiongroup
-  - iniconfig
-  - packaging
-  - pluggy >=0.12,<2.0
-  - python >=3.8
-  - tomli >=1.0.0
-  constrains:
-  - pytest-faulthandler >=2
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/pytest?source=hash-mapping
-  size: 236598
-  timestamp: 1677886053433
 - kind: conda
   name: pytest
   version: 8.3.3
diff --git a/pyproject.toml b/pyproject.toml
index ac97b0ecf..88c4caa60 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -29,7 +29,6 @@ dependencies = [
    "scikit-learn>=1.2.2,<2",
    "joblib>=1.1.1,<2",
    "threadpoolctl>=2.0.0,<4",
-   "pytest>=7.2.2,<9",
 ]
 
 [tool.setuptools.dynamic]
@@ -95,7 +94,6 @@ scipy = ">=1.10.1,<2"
 scikit-learn = ">=1.2.2,<2"
 joblib = ">=1.1.1,<2"
 threadpoolctl = ">=2.0.0,<4"
-pytest = ">=7.2.2,<9"
 
 [tool.pixi.feature.dev.dependencies]
 ipykernel = "*"
@@ -140,7 +138,6 @@ scipy = "==1.10.1"
 scikit-learn = "==1.2.2"
 joblib = "==1.1.1"
 threadpoolctl = "==2.0.0"
-pytest = "==7.2.2"
 
 [tool.pixi.feature.min-optional-dependencies.dependencies]
 pandas = "==1.5.3"
@@ -174,6 +171,7 @@ python = "~=3.12.0"
 
 [tool.pixi.feature.tests.dependencies]
 packaging = ">=23.2,<25"
+pytest = ">=7.2.2,<9"
 pytest-cov = ">=4.1.0,<6"
 pytest-xdist = ">=3.5.0,<4"
 

From ab419491e5c7960c5b7168f798e64b0c87b5d77f Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre <guillaume@probabl.ai>
Date: Sun, 6 Oct 2024 23:06:29 +0200
Subject: [PATCH 7/7] update readme

---
 README.rst | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/README.rst b/README.rst
index f68c1473b..564efc30e 100644
--- a/README.rst
+++ b/README.rst
@@ -129,6 +129,21 @@ of the scikit-learn community. Therefore, you can refer to their
 `Development Guide
 <http://scikit-learn.org/stable/developers>`_.
 
+Endorsement of the Scientific Python Specification
+--------------------------------------------------
+
+We endorse good practices from the Scientific Python Ecosystem Coordination (SPEC).
+The full list of recommendations is available `here`_.
+
+See below the list of recommendations that we endorse for the imbalanced-learn project.
+
+|SPEC 0 — Minimum Supported Dependencies|
+
+.. |SPEC 0 — Minimum Supported Dependencies| image:: https://img.shields.io/badge/SPEC-0-green?labelColor=%23004811&color=%235CA038
+   :target: https://scientific-python.org/specs/spec-0000/
+
+.. _here: https://scientific-python.org/specs/
+
 About
 -----