Skip factorial() float tests on Python 3.10

- resolves: #1898157

scipy.spec

@@ -15,7 +15,7 @@
 Summary:    Scientific Tools for Python
 Name:       scipy
 Version:    1.5.4
-Release:    1%{?dist}
+Release:    2%{?dist}
 
 # BSD -- whole package except:
 # Boost -- scipy/special/cephes/scipy_iv.c
@@ -26,6 +26,8 @@ Source0:    https://github.com/scipy/scipy/releases/download/v%{version}/scipy-%
 
 # https://github.com/scipy/scipy/pull/12899
 Patch0:     skip-certain-tests-on-32-bit-arches.patch
+# https://github.com/scipy/scipy/pull/13130
+Patch1:     skip-factorial-float-tests-on-py310.patch
 
 BuildRequires: fftw-devel, suitesparse-devel
 BuildRequires: %{blaslib}-devel
@@ -171,6 +173,10 @@ popd
 %endif
 
 %changelog
+* Wed Nov 25 2020 Nikola Forró <nforro@redhat.com> - 1.5.4-2
+- Skip factorial() float tests on Python 3.10
+  resolves: #1898157
+
 * Thu Nov 05 2020 Nikola Forró <nforro@redhat.com> - 1.5.4-1
 - New upstream release 1.5.4
 - Increase test timeout, 300 seconds is not always enough

skip-factorial-float-tests-on-py310.patch

@@ -0,0 +1,40 @@
+From eabd8ea25fe291665f37fd069a1c574cd30d12cc Mon Sep 17 00:00:00 2001
+From: Victor Stinner <vstinner@python.org>
+Date: Wed, 25 Nov 2020 11:41:15 +0100
+Subject: [PATCH] GH-13122: Skip factorial() float tests on Python 3.10
+
+special.factorial() argument should be an array of integers.
+On Python 3.10, math.factorial() reject float.
+On Python 3.9, a DeprecationWarning is emitted.
+A numpy array casts all integers to float if the array contains a
+single NaN.
+---
+ scipy/special/tests/test_basic.py | 8 ++++++++
+ 1 file changed, 8 insertions(+)
+
+diff --git a/scipy/special/tests/test_basic.py b/scipy/special/tests/test_basic.py
+index 9b7260e8435..e2ae29812a5 100644
+--- a/scipy/special/tests/test_basic.py
++++ b/scipy/special/tests/test_basic.py
+@@ -19,6 +19,7 @@
+ 
+ import itertools
+ import platform
++import sys
+ 
+ import numpy as np
+ from numpy import (array, isnan, r_, arange, finfo, pi, sin, cos, tan, exp,
+@@ -1822,6 +1823,13 @@ def test_nan_inputs(self, x, exact):
+         result = special.factorial(x, exact=exact)
+         assert_(np.isnan(result))
+ 
++    # GH-13122: special.factorial() argument should be an array of integers.
++    # On Python 3.10, math.factorial() reject float.
++    # On Python 3.9, a DeprecationWarning is emitted.
++    # A numpy array casts all integers to float if the array contains a
++    # single NaN.
++    @pytest.mark.skipif(sys.version_info >= (3, 10),
++                        reason="Python 3.10+ math.factorial() requires int")
+     def test_mixed_nan_inputs(self):
+         x = np.array([np.nan, 1, 2, 3, np.nan])
+         with suppress_warnings() as sup: