python313Packages.mlxtend: fix build (#371432)

From 360cb75317aecaf6b9abcf24f0577afef75c464e Mon Sep 17 00:00:00 2001

From: wxt <3264117476@qq.com>

Date: Mon, 6 Jan 2025 20:41:27 +0800

Subject: [PATCH] fix(test): replace np.float_ to np.float64

---

 mlxtend/_base/_regressor.py                     | 2 +-

 mlxtend/_base/tests/test_classifier.py          | 2 +-

 mlxtend/_base/tests/test_cluster.py             | 2 +-

 mlxtend/classifier/multilayerperceptron.py      | 2 +-

 mlxtend/classifier/softmax_regression.py        | 2 +-

 mlxtend/math/linalg.py                          | 2 +-

 mlxtend/plotting/tests/test_decision_regions.py | 2 +-

 7 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/mlxtend/_base/_regressor.py b/mlxtend/_base/_regressor.py

index e3d0a1d..1d3a5d6 100644

--- a/mlxtend/_base/_regressor.py

+++ b/mlxtend/_base/_regressor.py

@@ -16,7 +16,7 @@ class _Regressor(object):

         pass

     def _check_target_array(self, y, allowed=None):

-        if not isinstance(y[0], (float, np.float_)):

+        if not isinstance(y[0], (float, np.float64)):

             raise AttributeError("y must be a float array.\nFound %s" % y.dtype)

     def fit(self, X, y, init_params=True):

diff --git a/mlxtend/_base/tests/test_classifier.py b/mlxtend/_base/tests/test_classifier.py

index f77f74d..1bbac6d 100644

--- a/mlxtend/_base/tests/test_classifier.py

+++ b/mlxtend/_base/tests/test_classifier.py

@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():

 def test_check_labels_integer_notok():

-    y = np.array([1.0, 2.0], dtype=np.float_)

+    y = np.array([1.0, 2.0], dtype=np.float64)

     cl = BlankClassifier(print_progress=0, random_seed=1)

     with pytest.raises(AttributeError) as excinfo:

         cl._check_target_array(y)

diff --git a/mlxtend/_base/tests/test_cluster.py b/mlxtend/_base/tests/test_cluster.py

index 6da1a9d..54c2526 100644

--- a/mlxtend/_base/tests/test_cluster.py

+++ b/mlxtend/_base/tests/test_cluster.py

@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():

 def test_check_labels_integer_notok():

-    y = np.array([1.0, 2.0], dtype=np.float_)

+    y = np.array([1.0, 2.0], dtype=np.float64)

     cl = BlankClassifier(print_progress=0, random_seed=1)

     with pytest.raises(AttributeError) as excinfo:

         cl._check_target_array(y)

diff --git a/mlxtend/classifier/multilayerperceptron.py b/mlxtend/classifier/multilayerperceptron.py

index 770dab9..05416c3 100644

--- a/mlxtend/classifier/multilayerperceptron.py

+++ b/mlxtend/classifier/multilayerperceptron.py

@@ -143,7 +143,7 @@ class MultiLayerPerceptron(

                 prev_grad_b_out = np.zeros(shape=self.b_["out"].shape)

                 prev_grad_w_out = np.zeros(shape=self.w_["out"].shape)

-        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)

+        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)

         self.init_time_ = time()

diff --git a/mlxtend/classifier/softmax_regression.py b/mlxtend/classifier/softmax_regression.py

index 56444e5..173154e 100644

--- a/mlxtend/classifier/softmax_regression.py

+++ b/mlxtend/classifier/softmax_regression.py

@@ -141,7 +141,7 @@ class SoftmaxRegression(_BaseModel, _IterativeModel, _Classifier, _MultiClass):

             )

             self.cost_ = []

-        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)

+        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)

         self.init_time_ = time()

         rgen = np.random.RandomState(self.random_seed)

diff --git a/mlxtend/math/linalg.py b/mlxtend/math/linalg.py

index 02600f1..ece4c3c 100644

--- a/mlxtend/math/linalg.py

+++ b/mlxtend/math/linalg.py

@@ -45,7 +45,7 @@ def vectorspace_orthonormalization(ary, eps=1e-13):  # method='gram-schmidt',

     #   2c) Normalize if linearly independent,

     #       and set to zero otherwise

-    arr = ary.astype(np.float_).copy()

+    arr = ary.astype(np.float64).copy()

     for i in range(arr.shape[1]):

         for j in range(i):

diff --git a/mlxtend/plotting/tests/test_decision_regions.py b/mlxtend/plotting/tests/test_decision_regions.py

index fba2255..aad63ff 100644

--- a/mlxtend/plotting/tests/test_decision_regions.py

+++ b/mlxtend/plotting/tests/test_decision_regions.py

@@ -94,7 +94,7 @@ def test_y_int_ary():

         "Try passing the array as y.astype(np.int_)",

         plot_decision_regions,

         X[:, :2],

-        y.astype(np.float_),

+        y.astype(np.float64),

         sr,

     )

-- 

2.47.0

  pytestCheckHook,

  scipy,

  numpy,

  numpy_1,

  scikit-learn,

  pandas,

  matplotlib,

  src = fetchFromGitHub {

    owner = "rasbt";

    repo = pname;

    repo = "mlxtend";

    tag = "v${version}";

    hash = "sha256-c6I0dwu4y/Td2G6m2WP/52W4noQUmQMDvpzXA9RZauo=";

  };

    joblib

  ];

  patches = [

    # https://github.com/rasbt/mlxtend/pull/1119

    ./0001-fix-test-replace-np.float_-to-np.float64.patch

  ];

  nativeCheckInputs = [ pytestCheckHook ];

  pytestFlagsArray = [ "-sv" ];

  disabledTests = [

    # Type changed in numpy2 test should be updated

    "test_invalid_labels_1"

    "test_default"

    "test_nullability"

  ];

  disabledTestPaths = [

    "mlxtend/evaluate/f_test.py" # need clean

    "mlxtend/evaluate/tests/test_feature_importance.py" # urlopen error