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Author: vlad-perevezentsev

dpnp/tests/test_mathematical.py

@@ -30,7 +30,6 @@
     get_integer_dtypes,
     has_support_aspect16,
     has_support_aspect64,
-    is_cuda_device,
 )
 from .test_umath import (
     _get_numpy_arrays_1in_1out,

dpnp/tests/test_sycl_queue.py

@@ -1581,8 +1581,7 @@ def test_cholesky(data, is_empty, device):
 )
 @pytest.mark.parametrize("p", [None, -dpnp.inf, -2, -1, 1, 2, dpnp.inf, "fro"])
 def test_cond(device, p):
-    numpy.random.seed(42)
-    a = numpy.array(numpy.random.uniform(-5, 5, 16)).reshape(4, 4)
+    a = generate_random_numpy_array((4, 4), seed_value=42)
     ia = dpnp.array(a, device=device)
 
     result = dpnp.linalg.cond(ia, p=p)

dpnp/tests/test_usm_type.py

@@ -866,7 +866,7 @@ def test_split(func, data1, usm_type):
 @pytest.mark.parametrize("usm_type", list_of_usm_types, ids=list_of_usm_types)
 @pytest.mark.parametrize("p", [None, -dp.inf, -2, -1, 1, 2, dp.inf, "fro"])
 def test_cond(usm_type, p):
-    a = numpy.array(numpy.random.uniform(-5, 5, 16)).reshape(4, 4)
+    a = generate_random_numpy_array((4, 4), seed_value=42)
     ia = dp.array(a, usm_type=usm_type)
 
     result = dp.linalg.cond(ia, p=p)