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don't use np.empty_like with dtype argument to be numpy 1.5 compatible.
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@@ -75,9 +75,7 @@ def _convert(image, dtype, prec_loss):
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# Do scaling/shifting calculations in floating point
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image = image.astype(np.float64)
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out = np.empty_like(image, dtype=dtype)
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out[:] = round_fn((image - imin) * scale + shift)
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out = round_fn((image - imin) * scale + shift).astype(dtype)
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return out
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