Extend third_party/cupy/statistics_tests/test_order.py with testing of new methods

Author: antonwolfy

dpnp/tests/third_party/cupy/statistics_tests/test_order.py

@@ -1,21 +1,26 @@
+from __future__ import annotations
+
 import warnings
 
 import numpy
 import pytest
 
 import dpnp as cupy
+
+# import cupy._core._accelerator as _acc
+# from cupy import cuda
 from dpnp.tests.third_party.cupy import testing
 
 _all_methods = (
     # 'inverted_cdf',               # TODO(takagi) Not implemented
     # 'averaged_inverted_cdf',      # TODO(takagi) Not implemented
     # 'closest_observation',        # TODO(takagi) Not implemented
     # 'interpolated_inverted_cdf',  # TODO(takagi) Not implemented
-    # 'hazen',                      # TODO(takagi) Not implemented
-    # 'weibull',                    # TODO(takagi) Not implemented
+    "hazen",
+    "weibull",
     "linear",
-    # 'median_unbiased',            # TODO(takagi) Not implemented
-    # 'normal_unbiased',            # TODO(takagi) Not implemented
+    "median_unbiased",
+    "normal_unbiased",
     "lower",
     "higher",
     "midpoint",
@@ -166,9 +171,8 @@ def test_percentile_out_of_range_q(self, dtype, method):
                 with pytest.raises(ValueError):
                     xp.percentile(a, q, axis=-1, method=method)
 
-    @testing.for_all_dtypes()
     @testing.for_all_dtypes(no_float16=True, no_bool=True, no_complex=True)
-    @testing.numpy_cupy_allclose()
+    @testing.numpy_cupy_allclose(rtol=1e-6)
     def test_quantile_defaults(self, xp, dtype, method):
         a = testing.shaped_random((2, 3, 8), xp, dtype)
         q = testing.shaped_random((3,), xp, scale=1)
@@ -391,12 +395,16 @@ def test_ptp_axis2(self, xp, dtype):
     @testing.for_float_dtypes()
     @testing.numpy_cupy_allclose()
     def test_ptp_nan(self, xp, dtype):
+        # if _acc.ACCELERATOR_CUTENSOR in _acc.get_routine_accelerators():
+        #     pytest.skip()
         a = xp.array([float("nan"), 1, -1], dtype)
         return xp.ptp(a)
 
     @testing.for_float_dtypes()
     @testing.numpy_cupy_allclose()
     def test_ptp_all_nan(self, xp, dtype):
+        # if _acc.ACCELERATOR_CUTENSOR in _acc.get_routine_accelerators():
+        #     pytest.skip()
         a = xp.array([float("nan"), float("nan")], dtype)
         return xp.ptp(a)