modern rng approach
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@ -323,8 +323,9 @@ class JdotE_3DUniformDX(unittest.TestCase):
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self.epsilon = numpy.full(shape, 4, dtype=float)
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self.epsilon = numpy.full(shape, 4, dtype=float)
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self.epsilon[self.src_mask] = 2
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self.epsilon[self.src_mask] = 2
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e = numpy.random.randint(-128, 128 + 1, size=shape).astype(float)
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rng = numpy.random.default_rng()
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h = numpy.random.randint(-128, 128 + 1, size=shape).astype(float)
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e = rng.integers(-128, 128 + 1, size=shape, dtype=float)
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h = rng.integers(-128, 128 + 1, size=shape, dtype=float)
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self.es = [e]
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self.es = [e]
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self.hs = [h]
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self.hs = [h]
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self.ss = []
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self.ss = []
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