Cleanup tensorflow test for numpy 1.16 update
PiperOrigin-RevId: 260829689
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@ -278,10 +278,11 @@ class StatefulRandomOpsTest(xla_test.XLATestCase, parameterized.TestCase):
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maxval = 1
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if dtype.is_integer:
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maxval = 100
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x = gen.uniform(shape=[n], maxval=maxval, dtype=dtype).numpy()
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t = gen.uniform(shape=[n], maxval=maxval, dtype=dtype)
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x = t.numpy().astype(float)
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if maxval > 1:
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# Normalize y to range [0, 1).
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x = x.astype(float) / maxval
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x = x / maxval
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# Tests that the values are distributed amongst 10 bins with equal
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# probability. 16.92 is the Chi^2 value for 9 degrees of freedom with
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# p=0.05. This test is probabilistic and would be flaky if the random
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