TST: Add skips for GPU CI failures (scipy#22279)

scipy/ndimage/tests/test_interpolation.py

@@ -603,6 +603,7 @@ def test_map_coordinates_with_string_output(self, xp):
         assert out.dtype is np.dtype('f')
         assert_array_almost_equal(out, xp.asarray([[1]]))
 
+    @pytest.mark.skip_xp_backends(cpu_only=True)
     @pytest.mark.skipif('win32' in sys.platform or np.intp(0).itemsize < 8,
                         reason='do not run on 32 bit or windows '
                                '(no sparse memory)')

scipy/signal/tests/test_signaltools.py

@@ -1105,7 +1105,7 @@ def test_empty(self, a, b, xp):
         # Regression test for #1745: crashes with 0-length input.
         xp_assert_equal(
             oaconvolve(xp.asarray(a), xp.asarray(b)),
-            xp.asarray([]),
+            xp.asarray([]), check_dtype=False
         )
 
     def test_zero_rank(self, xp):
@@ -1621,6 +1621,7 @@ def test_complex(self, xp):
         assert ynew.dtype == y.dtype
 
 
+@skip_xp_backends(cpu_only=True, exceptions=['cupy'])
 class TestOrderFilt:
 
     def test_basic(self, xp):

scipy/stats/tests/test_stats.py

@@ -3874,6 +3874,7 @@ class TestStudentTest:
     P1_1_l = P1_1 / 2
     P1_1_g = 1 - (P1_1 / 2)
 
+    @skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
     def test_onesample(self, xp):
         with suppress_warnings() as sup, \
                 np.errstate(invalid="ignore", divide="ignore"):
@@ -3926,6 +3927,7 @@ def test_onesample_nan_policy(self, xp):
             assert_raises(ValueError, stats.ttest_1samp, x, 5.0,
                           nan_policy='foobar')
 
+    @skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
     def test_1samp_alternative(self, xp):
         message = "`alternative` must be 'less', 'greater', or 'two-sided'."
         with pytest.raises(ValueError, match=message):
@@ -3939,6 +3941,7 @@ def test_1samp_alternative(self, xp):
         xp_assert_close(p, xp.asarray(self.P1_1_g))
         xp_assert_close(t, xp.asarray(self.T1_1))
 
+    @skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
     @pytest.mark.skip_xp_backends('jax.numpy', reason='Generic impl mutates array.')
     @pytest.mark.parametrize("alternative", ['two-sided', 'less', 'greater'])
     def test_1samp_ci_1d(self, xp, alternative):
@@ -3965,6 +3968,7 @@ def test_1samp_ci_1d(self, xp, alternative):
         xp_assert_close(ci.high, xp.asarray(ref[alternative][1]))
         xp_assert_equal(res.df, xp.asarray(n-1))
 
+    @skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
     def test_1samp_ci_iv(self, xp):
         # test `confidence_interval` method input validation
         res = stats.ttest_1samp(xp.arange(10.), 0.)
@@ -5135,6 +5139,7 @@ def _stats(x, axis=0):
     return _stats(x1, axis) + _stats(x2, axis)
 
 
+@skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
 def test_ttest_ind(xp):
     # regression test
     tr = xp.asarray(1.0912746897927283)
@@ -5846,6 +5851,7 @@ def test_trim_bounds_error(self, trim):
             stats.ttest_ind([1, 2], [2, 1], trim=trim)
 
 
+@pytest.mark.skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
 class Test_ttest_CI:
     # indices in order [alternative={two-sided, less, greater},
     #                   equal_var={False, True}, trim={0, 0.2}]
@@ -5940,6 +5946,7 @@ def test__broadcast_concatenate():
             assert b[i, j, k, l - a.shape[-3], m, n] == c[i, j, k, l, m, n]
 
 
+@pytest.mark.skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
 def test_ttest_ind_with_uneq_var(xp):
     # check vs. R `t.test`, e.g.
     # options(digits=20)
@@ -6021,6 +6028,7 @@ def test_ttest_ind_with_uneq_var(xp):
     xp_assert_close(res.pvalue, pr_2D)
 
 
+@pytest.mark.skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
 def test_ttest_ind_zero_division(xp):
     # test zero division problem
     x = xp.zeros(3)
@@ -6135,6 +6143,7 @@ def test_gh5686(xp):
     stats.ttest_ind_from_stats(mean1, std1, nobs1, mean2, std2, nobs2)
 
 
+@skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
 def test_ttest_ind_from_stats_inputs_zero(xp):
     # Regression test for gh-6409.
     zero = xp.asarray(0.)
@@ -6268,6 +6277,7 @@ def test_ttest_1samp_new_omit(xp):
     xp_assert_close(t, tr)
 
 
+@pytest.mark.skip_xp_backends(cpu_only=True, exceptions=["cupy", "jax.numpy"])
 @pytest.mark.skip_xp_backends('jax.numpy', reason='Generic impl mutates array.')
 def test_ttest_1samp_popmean_array(xp):
     # when popmean.shape[axis] != 1, raise an error