From 229c659df11cdfaba9c98930039b3a3651bf6ae4 Mon Sep 17 00:00:00 2001
From: Ralf Gommers <ralf.gommers@gmail.com>
Date: Fri, 17 Jun 2022 07:12:24 +0200
Subject: [PATCH] TST: fix test issues with casting-related warnings with numpy
 >1.23

Closes gh-16403

Gbp-Pq: Name 0015-TST-fix-test-issues-with-casting-related-warnings-wi.patch
---
 scipy/io/_mmio.py                      | 7 +++++--
 scipy/sparse/tests/test_sparsetools.py | 5 ++++-
 scipy/spatial/tests/test_distance.py   | 4 ++++
 3 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/scipy/io/_mmio.py b/scipy/io/_mmio.py
index f0260654..f3c28f85 100644
--- a/scipy/io/_mmio.py
+++ b/scipy/io/_mmio.py
@@ -13,6 +13,7 @@
 import os
 import sys
 
+import numpy as np
 from numpy import (asarray, real, imag, conj, zeros, ndarray, concatenate,
                    ones, can_cast)
 
@@ -382,8 +383,10 @@ class MMFile:
             else:
                 if issymm and aij != aji:
                     issymm = False
-                if isskew and aij != -aji:
-                    isskew = False
+                with np.errstate(over="ignore"):
+                    # This can give a warning for uint dtypes, so silence that
+                    if isskew and aij != -aji:
+                        isskew = False
                 if isherm and aij != conj(aji):
                     isherm = False
             if not (issymm or isskew or isherm):
diff --git a/scipy/sparse/tests/test_sparsetools.py b/scipy/sparse/tests/test_sparsetools.py
index 06d3fcf6..dcada59f 100644
--- a/scipy/sparse/tests/test_sparsetools.py
+++ b/scipy/sparse/tests/test_sparsetools.py
@@ -302,7 +302,10 @@ def test_upcast():
             if np.issubdtype(b_dtype, np.complexfloating):
                 b = b0.copy().astype(b_dtype)
             else:
-                b = b0.real.copy().astype(b_dtype)
+                with np.errstate(invalid="ignore"):
+                    # Casting a large value (2**32) to int8 causes a warning in
+                    # numpy >1.23
+                    b = b0.real.copy().astype(b_dtype)
 
             if not (a_dtype == np.bool_ and b_dtype == np.bool_):
                 c = np.zeros((2,), dtype=np.bool_)
diff --git a/scipy/spatial/tests/test_distance.py b/scipy/spatial/tests/test_distance.py
index ab382191..0ebbe6a1 100644
--- a/scipy/spatial/tests/test_distance.py
+++ b/scipy/spatial/tests/test_distance.py
@@ -219,6 +219,10 @@ def _weight_masked(arrays, weights, axis):
 
 
 def _rand_split(arrays, weights, axis, split_per, seed=None):
+    # Coerce `arrays` to float64 if integer, to avoid nan-to-integer issues
+    arrays = [arr.astype(np.float64) if np.issubdtype(arr.dtype, np.integer)
+              else arr for arr in arrays]
+
     # inverse operation for stats.collapse_weights
     weights = np.array(weights, dtype=np.float64)  # modified inplace; need a copy
     seeded_rand = np.random.RandomState(seed)
-- 
2.30.2