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authorRicardo Wurmus <rekado@elephly.net>2023-05-10 14:54:22 +0200
committerRicardo Wurmus <rekado@elephly.net>2023-05-10 19:27:07 +0200
commit96c51a9dbfda0a08a2f2cdbd1f62e1c064d22437 (patch)
tree8160aa502045072025c7cb80c67b24a62e344bcb /gnu/packages/patches/python-scikit-optimize-1148.patch
parentff3c55bb98c1b9629061af8f8d3848bc6faea064 (diff)
gnu: python-scikit-optimize: Fix build with newer numpy and sklearn.
* gnu/packages/patches/python-scikit-optimize-1148.patch, gnu/packages/patches/python-scikit-optimize-1150.patch: New patches. * gnu/local.mk (dist_patch_DATA): Add them. * gnu/packages/python-science.scm (python-scikit-optimize)[source]: Fetch with git and apply patches.
Diffstat (limited to 'gnu/packages/patches/python-scikit-optimize-1148.patch')
-rw-r--r--gnu/packages/patches/python-scikit-optimize-1148.patch32
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/patches/python-scikit-optimize-1148.patch b/gnu/packages/patches/python-scikit-optimize-1148.patch
new file mode 100644
index 0000000000..6ad854ab1e
--- /dev/null
+++ b/gnu/packages/patches/python-scikit-optimize-1148.patch
@@ -0,0 +1,32 @@
+From 3a5d5eb90ec9d8d4905c05387748486157cadbbb Mon Sep 17 00:00:00 2001
+From: valtron <valtron2000@gmail.com>
+Date: Tue, 14 Feb 2023 09:56:10 -0700
+Subject: [PATCH] `np.int` -> `int`
+
+`np.int is int` and it was deprecated in numpy 1.20: https://numpy.org/doc/1.20/release/1.20.0-notes.html#deprecations
+---
+ skopt/space/transformers.py | 4 ++--
+ 1 file changed, 2 insertions(+), 2 deletions(-)
+
+diff --git a/skopt/space/transformers.py b/skopt/space/transformers.py
+index 68892952..f2dfb164 100644
+--- a/skopt/space/transformers.py
++++ b/skopt/space/transformers.py
+@@ -259,7 +259,7 @@ def transform(self, X):
+ if (self.high - self.low) == 0.:
+ return X * 0.
+ if self.is_int:
+- return (np.round(X).astype(np.int) - self.low) /\
++ return (np.round(X).astype(int) - self.low) /\
+ (self.high - self.low)
+ else:
+ return (X - self.low) / (self.high - self.low)
+@@ -272,7 +272,7 @@ def inverse_transform(self, X):
+ raise ValueError("All values should be greater than 0.0")
+ X_orig = X * (self.high - self.low) + self.low
+ if self.is_int:
+- return np.round(X_orig).astype(np.int)
++ return np.round(X_orig).astype(int)
+ return X_orig
+
+