wxt
110 lines
4.4 KiB
Diff
110 lines
4.4 KiB
Diff
From 360cb75317aecaf6b9abcf24f0577afef75c464e Mon Sep 17 00:00:00 2001
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From: wxt <3264117476@qq.com>
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Date: Mon, 6 Jan 2025 20:41:27 +0800
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Subject: [PATCH] fix(test): replace np.float_ to np.float64
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---
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mlxtend/_base/_regressor.py | 2 +-
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mlxtend/_base/tests/test_classifier.py | 2 +-
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mlxtend/_base/tests/test_cluster.py | 2 +-
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mlxtend/classifier/multilayerperceptron.py | 2 +-
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mlxtend/classifier/softmax_regression.py | 2 +-
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mlxtend/math/linalg.py | 2 +-
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mlxtend/plotting/tests/test_decision_regions.py | 2 +-
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7 files changed, 7 insertions(+), 7 deletions(-)
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diff --git a/mlxtend/_base/_regressor.py b/mlxtend/_base/_regressor.py
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index e3d0a1d..1d3a5d6 100644
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--- a/mlxtend/_base/_regressor.py
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+++ b/mlxtend/_base/_regressor.py
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@@ -16,7 +16,7 @@ class _Regressor(object):
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pass
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def _check_target_array(self, y, allowed=None):
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- if not isinstance(y[0], (float, np.float_)):
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+ if not isinstance(y[0], (float, np.float64)):
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raise AttributeError("y must be a float array.\nFound %s" % y.dtype)
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def fit(self, X, y, init_params=True):
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diff --git a/mlxtend/_base/tests/test_classifier.py b/mlxtend/_base/tests/test_classifier.py
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index f77f74d..1bbac6d 100644
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--- a/mlxtend/_base/tests/test_classifier.py
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+++ b/mlxtend/_base/tests/test_classifier.py
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@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():
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def test_check_labels_integer_notok():
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- y = np.array([1.0, 2.0], dtype=np.float_)
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+ y = np.array([1.0, 2.0], dtype=np.float64)
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cl = BlankClassifier(print_progress=0, random_seed=1)
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with pytest.raises(AttributeError) as excinfo:
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cl._check_target_array(y)
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diff --git a/mlxtend/_base/tests/test_cluster.py b/mlxtend/_base/tests/test_cluster.py
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index 6da1a9d..54c2526 100644
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--- a/mlxtend/_base/tests/test_cluster.py
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+++ b/mlxtend/_base/tests/test_cluster.py
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@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():
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def test_check_labels_integer_notok():
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- y = np.array([1.0, 2.0], dtype=np.float_)
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+ y = np.array([1.0, 2.0], dtype=np.float64)
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cl = BlankClassifier(print_progress=0, random_seed=1)
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with pytest.raises(AttributeError) as excinfo:
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cl._check_target_array(y)
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diff --git a/mlxtend/classifier/multilayerperceptron.py b/mlxtend/classifier/multilayerperceptron.py
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index 770dab9..05416c3 100644
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--- a/mlxtend/classifier/multilayerperceptron.py
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+++ b/mlxtend/classifier/multilayerperceptron.py
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@@ -143,7 +143,7 @@ class MultiLayerPerceptron(
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prev_grad_b_out = np.zeros(shape=self.b_["out"].shape)
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prev_grad_w_out = np.zeros(shape=self.w_["out"].shape)
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- y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)
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+ y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)
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self.init_time_ = time()
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diff --git a/mlxtend/classifier/softmax_regression.py b/mlxtend/classifier/softmax_regression.py
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index 56444e5..173154e 100644
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--- a/mlxtend/classifier/softmax_regression.py
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+++ b/mlxtend/classifier/softmax_regression.py
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@@ -141,7 +141,7 @@ class SoftmaxRegression(_BaseModel, _IterativeModel, _Classifier, _MultiClass):
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)
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self.cost_ = []
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- y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)
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+ y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)
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self.init_time_ = time()
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rgen = np.random.RandomState(self.random_seed)
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diff --git a/mlxtend/math/linalg.py b/mlxtend/math/linalg.py
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index 02600f1..ece4c3c 100644
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--- a/mlxtend/math/linalg.py
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+++ b/mlxtend/math/linalg.py
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@@ -45,7 +45,7 @@ def vectorspace_orthonormalization(ary, eps=1e-13): # method='gram-schmidt',
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# 2c) Normalize if linearly independent,
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# and set to zero otherwise
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- arr = ary.astype(np.float_).copy()
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+ arr = ary.astype(np.float64).copy()
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for i in range(arr.shape[1]):
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for j in range(i):
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diff --git a/mlxtend/plotting/tests/test_decision_regions.py b/mlxtend/plotting/tests/test_decision_regions.py
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index fba2255..aad63ff 100644
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--- a/mlxtend/plotting/tests/test_decision_regions.py
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+++ b/mlxtend/plotting/tests/test_decision_regions.py
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@@ -94,7 +94,7 @@ def test_y_int_ary():
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"Try passing the array as y.astype(np.int_)",
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plot_decision_regions,
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X[:, :2],
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- y.astype(np.float_),
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+ y.astype(np.float64),
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sr,
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)
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--
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2.47.0
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