python313Packages.mlxtend: fix build (#371432)

pkgs/development/python-modules/mlxtend/0001-fix-test-replace-np.float_-to-np.float64.patch

@@ -0,0 +1,109 @@
+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
+

pkgs/development/python-modules/mlxtend/default.nix

@@ -7,6 +7,7 @@
   pytestCheckHook,
   scipy,
   numpy,
+  numpy_1,
   scikit-learn,
   pandas,
   matplotlib,
@@ -22,7 +23,7 @@ buildPythonPackage rec {
 
   src = fetchFromGitHub {
     owner = "rasbt";
-    repo = pname;
+    repo = "mlxtend";
     tag = "v${version}";
     hash = "sha256-c6I0dwu4y/Td2G6m2WP/52W4noQUmQMDvpzXA9RZauo=";
   };
@@ -38,10 +39,22 @@ buildPythonPackage rec {
     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