In Python, the NumPy library provides [nice array-comparison functions for unit tests](https://docs.scipy.org/doc/numpy-1.13.0/reference/routines.testing.html) etc., which I make heavy use of: ```python import numpy as np a = np.arange(5, dtype=np.float32) + 1 np.testing.assert_allclose(a, 1e-10 + np.sqrt(a**2)) # Succeeds. np.testing.assert_allclose(a, 1e-1 + np.sqrt(a**2)) # Fails. ``` Would it be useful/appropriate to add some of these to this library? I could be interested in working on it, but thought I'd check first. (Seems like [some such functions are used internally](https://github.com/bluss/rust-ndarray/blob/master/blas-tests/tests/oper.rs#L14), but don't seem to be exported for external use.)