pyrox.dev
1From 360cb75317aecaf6b9abcf24f0577afef75c464e Mon Sep 17 00:00:00 2001
2From: wxt <3264117476@qq.com>
3Date: Mon, 6 Jan 2025 20:41:27 +0800
4Subject: [PATCH] fix(test): replace np.float_ to np.float64
5
6---
7 mlxtend/_base/_regressor.py | 2 +-
8 mlxtend/_base/tests/test_classifier.py | 2 +-
9 mlxtend/_base/tests/test_cluster.py | 2 +-
10 mlxtend/classifier/multilayerperceptron.py | 2 +-
11 mlxtend/classifier/softmax_regression.py | 2 +-
12 mlxtend/math/linalg.py | 2 +-
13 mlxtend/plotting/tests/test_decision_regions.py | 2 +-
14 7 files changed, 7 insertions(+), 7 deletions(-)
15
16diff --git a/mlxtend/_base/_regressor.py b/mlxtend/_base/_regressor.py
17index e3d0a1d..1d3a5d6 100644
18--- a/mlxtend/_base/_regressor.py
19+++ b/mlxtend/_base/_regressor.py
20@@ -16,7 +16,7 @@ class _Regressor(object):
21 pass
22
23 def _check_target_array(self, y, allowed=None):
24- if not isinstance(y[0], (float, np.float_)):
25+ if not isinstance(y[0], (float, np.float64)):
26 raise AttributeError("y must be a float array.\nFound %s" % y.dtype)
27
28 def fit(self, X, y, init_params=True):
29diff --git a/mlxtend/_base/tests/test_classifier.py b/mlxtend/_base/tests/test_classifier.py
30index f77f74d..1bbac6d 100644
31--- a/mlxtend/_base/tests/test_classifier.py
32+++ b/mlxtend/_base/tests/test_classifier.py
33@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():
34
35
36 def test_check_labels_integer_notok():
37- y = np.array([1.0, 2.0], dtype=np.float_)
38+ y = np.array([1.0, 2.0], dtype=np.float64)
39 cl = BlankClassifier(print_progress=0, random_seed=1)
40 with pytest.raises(AttributeError) as excinfo:
41 cl._check_target_array(y)
42diff --git a/mlxtend/_base/tests/test_cluster.py b/mlxtend/_base/tests/test_cluster.py
43index 6da1a9d..54c2526 100644
44--- a/mlxtend/_base/tests/test_cluster.py
45+++ b/mlxtend/_base/tests/test_cluster.py
46@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():
47
48
49 def test_check_labels_integer_notok():
50- y = np.array([1.0, 2.0], dtype=np.float_)
51+ y = np.array([1.0, 2.0], dtype=np.float64)
52 cl = BlankClassifier(print_progress=0, random_seed=1)
53 with pytest.raises(AttributeError) as excinfo:
54 cl._check_target_array(y)
55diff --git a/mlxtend/classifier/multilayerperceptron.py b/mlxtend/classifier/multilayerperceptron.py
56index 770dab9..05416c3 100644
57--- a/mlxtend/classifier/multilayerperceptron.py
58+++ b/mlxtend/classifier/multilayerperceptron.py
59@@ -143,7 +143,7 @@ class MultiLayerPerceptron(
60 prev_grad_b_out = np.zeros(shape=self.b_["out"].shape)
61 prev_grad_w_out = np.zeros(shape=self.w_["out"].shape)
62
63- y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)
64+ y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)
65
66 self.init_time_ = time()
67
68diff --git a/mlxtend/classifier/softmax_regression.py b/mlxtend/classifier/softmax_regression.py
69index 56444e5..173154e 100644
70--- a/mlxtend/classifier/softmax_regression.py
71+++ b/mlxtend/classifier/softmax_regression.py
72@@ -141,7 +141,7 @@ class SoftmaxRegression(_BaseModel, _IterativeModel, _Classifier, _MultiClass):
73 )
74 self.cost_ = []
75
76- y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)
77+ y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)
78
79 self.init_time_ = time()
80 rgen = np.random.RandomState(self.random_seed)
81diff --git a/mlxtend/math/linalg.py b/mlxtend/math/linalg.py
82index 02600f1..ece4c3c 100644
83--- a/mlxtend/math/linalg.py
84+++ b/mlxtend/math/linalg.py
85@@ -45,7 +45,7 @@ def vectorspace_orthonormalization(ary, eps=1e-13): # method='gram-schmidt',
86 # 2c) Normalize if linearly independent,
87 # and set to zero otherwise
88
89- arr = ary.astype(np.float_).copy()
90+ arr = ary.astype(np.float64).copy()
91
92 for i in range(arr.shape[1]):
93 for j in range(i):
94diff --git a/mlxtend/plotting/tests/test_decision_regions.py b/mlxtend/plotting/tests/test_decision_regions.py
95index fba2255..aad63ff 100644
96--- a/mlxtend/plotting/tests/test_decision_regions.py
97+++ b/mlxtend/plotting/tests/test_decision_regions.py
98@@ -94,7 +94,7 @@ def test_y_int_ary():
99 "Try passing the array as y.astype(np.int_)",
100 plot_decision_regions,
101 X[:, :2],
102- y.astype(np.float_),
103+ y.astype(np.float64),
104 sr,
105 )
106
107--
1082.47.0
109