MAINT remove deprecated function

doc/developers_utils.rst

@@ -75,7 +75,7 @@ E.g., renaming an attribute ``labels_`` to ``classes_`` can be done as::
     def labels_(self):
         return self.classes_
 
-If a parameter has to be deprecated, use ``DeprecationWarning`` appropriately.
+If a parameter has to be deprecated, use ``FutureWarning`` appropriately.
 In the following example, k is deprecated and renamed to n_clusters::
 
     import warnings
@@ -106,49 +106,6 @@ On the top of all the functionality provided by scikit-learn. imbalanced-learn
 provides :func:`deprecate_parameter`: which is used to deprecate a sampler's
 parameter (attribute) by another one.
 
-Testing utilities
-~~~~~~~~~~~~~~~~~
-Currently, imbalanced-learn provide a warning management utility. This feature
-is going to be merge in pytest and will be removed when the pytest release will
-have it.
-
-If using Python 2.7 or above, you may use this function as a
-context manager::
-
-    >>> import warnings
-    >>> from imblearn.utils.testing import warns
-    >>> with warns(RuntimeWarning):
-    ...    warnings.warn("my runtime warning", RuntimeWarning)
-
-    >>> with warns(RuntimeWarning):
-    ...    pass
-    Traceback (most recent call last):
-      ...
-    Failed: DID NOT WARN. No warnings of type ...RuntimeWarning... was emitted...
-
-    >>> with warns(RuntimeWarning):
-    ...    warnings.warn(UserWarning)
-    Traceback (most recent call last):
-      ...
-    Failed: DID NOT WARN. No warnings of type ...RuntimeWarning... was emitted...
-
-In the context manager form you may use the keyword argument ``match`` to assert
-that the exception matches a text or regex::
-
-    >>> import warnings
-    >>> from imblearn.utils.testing import warns
-    >>> with warns(UserWarning, match='must be 0 or None'):
-    ...     warnings.warn("value must be 0 or None", UserWarning)
-
-    >>> with warns(UserWarning, match=r'must be \d+$'):
-    ...     warnings.warn("value must be 42", UserWarning)
-
-    >>> with warns(UserWarning, match=r'must be \d+$'):
-    ...     warnings.warn("this is not here", UserWarning)
-    Traceback (most recent call last):
-      ...
-    AssertionError: 'must be \d+$' pattern not found in ['this is not here']
-
 Making a release
 ----------------
 This section document the different steps that are necessary to make a new

imblearn/metrics/tests/test_classification.py

@@ -31,8 +31,6 @@
 from imblearn.metrics import classification_report_imbalanced
 from imblearn.metrics import macro_averaged_mean_absolute_error
 
-from imblearn.utils.testing import warns
-
 RND_SEED = 42
 R_TOL = 1e-2
 
@@ -182,7 +180,8 @@ def test_sensitivity_specificity_support_errors():
 
 def test_sensitivity_specificity_unused_pos_label():
     # but average != 'binary'; even if data is binary
-    with warns(UserWarning, r"use labels=\[pos_label\] to specify a single"):
+    msg = r"use labels=\[pos_label\] to specify a single"
+    with pytest.warns(UserWarning, match=msg):
         sensitivity_specificity_support(
             [1, 2, 1], [1, 2, 2], pos_label=2, average="macro"
         )

imblearn/under_sampling/_prototype_generation/_cluster_centroids.py

@@ -6,8 +6,6 @@
 #          Christos Aridas
 # License: MIT
 
-import warnings
-
 import numpy as np
 from scipy import sparse
 
@@ -18,7 +16,6 @@
 
 from ..base import BaseUnderSampler
 from ...utils import Substitution
-from ...utils._docstring import _n_jobs_docstring
 from ...utils._docstring import _random_state_docstring
 from ...utils._validation import _deprecate_positional_args
 
@@ -27,7 +24,6 @@
 
 @Substitution(
     sampling_strategy=BaseUnderSampler._sampling_strategy_docstring,
-    n_jobs=_n_jobs_docstring,
     random_state=_random_state_docstring,
 )
 class ClusterCentroids(BaseUnderSampler):
@@ -65,11 +61,6 @@ class ClusterCentroids(BaseUnderSampler):
 
         .. versionadded:: 0.3.0
 
-    {n_jobs}
-
-      .. deprecated:: 0.7
-         `n_jobs` was deprecated in 0.7 and will be removed in 0.9.
-
     Attributes
     ----------
     sampling_strategy_ : dict
@@ -125,21 +116,14 @@ def __init__(
         random_state=None,
         estimator=None,
         voting="auto",
-        n_jobs="deprecated",
     ):
         super().__init__(sampling_strategy=sampling_strategy)
         self.random_state = random_state
         self.estimator = estimator
         self.voting = voting
-        self.n_jobs = n_jobs
 
     def _validate_estimator(self):
         """Private function to create the KMeans estimator"""
-        if self.n_jobs != "deprecated":
-            warnings.warn(
-                "'n_jobs' was deprecated in 0.7 and will be removed in 0.9",
-                FutureWarning,
-            )
         if self.estimator is None:
             self.estimator_ = KMeans(random_state=self.random_state)
         else:

imblearn/under_sampling/_prototype_generation/tests/test_cluster_centroids.py

@@ -112,15 +112,6 @@ def test_fit_resample_error(cluster_centroids_params, err_msg):
         cc.fit_resample(X, Y)
 
 
-def test_cluster_centroids_n_jobs():
-    # check that we deprecate the `n_jobs` parameter.
-    cc = ClusterCentroids(n_jobs=1)
-    with pytest.warns(FutureWarning) as record:
-        cc.fit_resample(X, Y)
-    assert len(record) == 1
-    assert "'n_jobs' was deprecated" in record[0].message.args[0]
-
-
 def test_cluster_centroids_hard_target_class():
     # check that the samples selecting by the hard voting corresponds to the
     # targeted class

imblearn/utils/deprecation.py

@@ -33,14 +33,14 @@ def deprecate_parameter(sampler, version_deprecation, param_deprecated, new_para
                 f"'{param_deprecated}' is deprecated from {version_deprecation} and "
                 f" will be removed in {version_removed} for the estimator "
                 f"{sampler.__class__}.",
-                category=DeprecationWarning,
+                category=FutureWarning,
             )
     else:
         if getattr(sampler, param_deprecated) is not None:
             warnings.warn(
                 f"'{param_deprecated}' is deprecated from {version_deprecation} and "
                 f"will be removed in {version_removed} for the estimator "
                 f"{sampler.__class__}. Use '{new_param}' instead.",
-                category=DeprecationWarning,
+                category=FutureWarning,
             )
             setattr(sampler, new_param, getattr(sampler, param_deprecated))

imblearn/utils/testing.py

@@ -6,15 +6,11 @@
 
 import inspect
 import pkgutil
-import warnings
-from contextlib import contextmanager
 from importlib import import_module
 from operator import itemgetter
 from pathlib import Path
-from re import compile
 
 from scipy import sparse
-from pytest import warns as _warns
 
 from sklearn.base import BaseEstimator
 from sklearn.neighbors import KDTree
@@ -116,58 +112,6 @@ def is_abstract(c):
     return sorted(set(estimators), key=itemgetter(0))
 
 
-@contextmanager
-def warns(expected_warning, match=None):
-    r"""Assert that a warning is raised with an optional matching pattern.
-
-    .. deprecated:: 0.8
-       This function is deprecated in 0.8 and will be removed in 0.10.
-       Use `pytest.warns()` instead.
-
-    Assert that a code block/function call warns ``expected_warning``
-    and raise a failure exception otherwise. It can be used within a context
-    manager ``with``.
-
-    Parameters
-    ----------
-    expected_warning : Warning
-        Warning type.
-
-    match : regex str or None, optional
-        The pattern to be matched. By default, no check is done.
-
-    Yields
-    ------
-    Nothing.
-
-    Examples
-    --------
-    >>> import warnings
-    >>> from imblearn.utils.testing import warns
-    >>> with warns(UserWarning, match=r'must be \d+$'):
-    ...     warnings.warn("value must be 42", UserWarning)
-    """
-    warnings.warn(
-        "The warns function is deprecated in 0.8 and will be removed in 0.10. "
-        "Use pytest.warns() instead."
-    )
-
-    with _warns(expected_warning) as record:
-        yield
-
-    if match is not None:
-        for each in record:
-            if compile(match).search(str(each.message)) is not None:
-                break
-        else:
-            msg = "'{}' pattern not found in {}".format(
-                match, "{}".format([str(r.message) for r in record])
-            )
-            assert False, msg
-    else:
-        pass
-
-
 class _CustomNearestNeighbors(BaseEstimator):
     """Basic implementation of nearest neighbors not relying on scikit-learn.
 

imblearn/utils/tests/test_deprecation.py

@@ -3,8 +3,9 @@
 # Authors: Guillaume Lemaitre <g.lemaitre58@gmail.com>
 # License: MIT
 
+import pytest
+
 from imblearn.utils.deprecation import deprecate_parameter
-from imblearn.utils.testing import warns
 
 
 class Sampler:
@@ -14,7 +15,7 @@ def __init__(self):
 
 
 def test_deprecate_parameter():
-    with warns(DeprecationWarning, match="is deprecated from"):
+    with pytest.warns(FutureWarning, match="is deprecated from"):
         deprecate_parameter(Sampler(), "0.2", "a")
-    with warns(DeprecationWarning, match="Use 'b' instead."):
+    with pytest.warns(FutureWarning, match="Use 'b' instead."):
         deprecate_parameter(Sampler(), "0.2", "a", "b")

imblearn/utils/tests/test_testing.py

@@ -12,8 +12,6 @@
 from imblearn.base import SamplerMixin
 from imblearn.utils.testing import all_estimators, _CustomNearestNeighbors
 
-from imblearn.utils.testing import warns
-
 
 def test_all_estimators():
     # check if the filtering is working with a list or a single string
@@ -31,40 +29,6 @@ def test_all_estimators():
         all_estimators(type_filter=type_filter)
 
 
-@pytest.mark.filterwarnings("ignore:The warns function is deprecated in 0.8")
-def test_warns():
-    import warnings
-
-    with warns(UserWarning, match=r"must be \d+$"):
-        warnings.warn("value must be 42", UserWarning)
-
-    with pytest.raises(AssertionError, match="pattern not found"):
-        with warns(UserWarning, match=r"must be \d+$"):
-            warnings.warn("this is not here", UserWarning)
-
-    with warns(UserWarning, match=r"aaa"):
-        warnings.warn("cccccccccc", UserWarning)
-        warnings.warn("bbbbbbbbbb", UserWarning)
-        warnings.warn("aaaaaaaaaa", UserWarning)
-
-    a, b, c = ("aaa", "bbbbbbbbbb", "cccccccccc")
-    expected_msg = r"'{}' pattern not found in \['{}', '{}'\]".format(a, b, c)
-    with pytest.raises(AssertionError, match=expected_msg):
-        with warns(UserWarning, match=r"aaa"):
-            warnings.warn("bbbbbbbbbb", UserWarning)
-            warnings.warn("cccccccccc", UserWarning)
-
-
-# TODO: remove in 0.9
-def test_warns_deprecation():
-    import warnings
-
-    with pytest.warns(None) as record:
-        with warns(UserWarning):
-            warnings.warn("value must be 42")
-    assert "The warns function is deprecated" in str(record[0].message)
-
-
 def test_custom_nearest_neighbors():
     """Check that our custom nearest neighbors can be used for our internal
     duck-typing."""

imblearn/utils/tests/test_validation.py

@@ -16,7 +16,7 @@
 from imblearn.utils import check_neighbors_object
 from imblearn.utils import check_sampling_strategy
 from imblearn.utils import check_target_type
-from imblearn.utils.testing import warns, _CustomNearestNeighbors
+from imblearn.utils.testing import _CustomNearestNeighbors
 from imblearn.utils._validation import ArraysTransformer
 from imblearn.utils._validation import _deprecate_positional_args
 
@@ -262,12 +262,8 @@ def test_check_sampling_strategy(
 def test_sampling_strategy_dict_over_sampling():
     y = np.array([1] * 50 + [2] * 100 + [3] * 25)
     sampling_strategy = {1: 70, 2: 140, 3: 70}
-    expected_msg = (
-        r"After over-sampling, the number of samples \(140\) in"
-        r" class 2 will be larger than the number of samples in"
-        r" the majority class \(class #2 -> 100\)"
-    )
-    with warns(UserWarning, expected_msg):
+    expected_msg = "After over-sampling, the number of samples "
+    with pytest.warns(UserWarning, match=expected_msg):
         check_sampling_strategy(sampling_strategy, y, "over-sampling")