Updated tests to no use removed qualifiers

Author: oleksandr-pavlyk

mkl_random/tests/test_random.py

@@ -29,7 +29,7 @@
 import numpy as np
 from unittest import TestCase
 from numpy.testing import (
-        run_module_suite, assert_, assert_raises, assert_equal,
+        assert_, assert_raises, assert_equal,
         assert_warns, suppress_warnings)
 import mkl_random as rnd
 from numpy.compat import asbytes
@@ -952,7 +952,3 @@ def test_multinomial(self):
         def gen_random(state, out):
             out[...] = state.multinomial(10, [1/6.]*6, size=10000)
         self.check_function(gen_random, sz=(10000,6))
-
-
-if __name__ == "__main__":
-    run_module_suite()

mkl_random/tests/test_regression.py

@@ -25,9 +25,8 @@
 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
 import sys
-from numpy.testing import (TestCase, run_module_suite, assert_,
-                           assert_array_equal, assert_raises, dec)
-import mkl
+from numpy.testing import (TestCase, assert_,
+                           assert_array_equal, assert_raises)
 import mkl_random as rnd
 from numpy.compat import long
 import numpy as np
@@ -117,8 +116,6 @@ def test_multivariate_normal_size_types(self):
         rnd.multivariate_normal([0], [[0]], size=np.int_(1))
         rnd.multivariate_normal([0], [[0]], size=np.int64(1))
 
-#    @dec.skipif(tuple(map(mkl.get_version().get, ['MajorVersion', 'UpdateVersion'])) == (2020,3),
-#                msg="Intel(R) MKL 2020.3 produces NaN for these parameters")
     def test_beta_small_parameters(self):
         # Test that beta with small a and b parameters does not produce
         # NaNs due to roundoff errors causing 0 / 0, gh-5851
@@ -173,7 +170,3 @@ def test_shuffle_of_array_of_objects(self):
     def test_non_central_chi_squared_df_one(self):
         a = rnd.noncentral_chisquare(df = 1.0, nonc=2.3, size=10**4)
         assert(a.min() > 0.0)
-
-
-if __name__ == "__main__":
-    run_module_suite()