_asarray_validated(a, check_finite=True, sparse_ok=False, objects_ok=False, mask_ok=False, as_inexact=False)
Many SciPy linear algebra functions do support arbitrary array-like input arguments. Examples of commonly unsupported inputs include matrices containing inf/nan, sparse matrix representations, and matrices with complicated elements.
The array-like input.
Whether to check that the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs. Default: True
True if scipy sparse matrices are allowed.
True if arrays with dype('O') are allowed.
True if masked arrays are allowed.
True to convert the input array to a np.inexact dtype.
The converted validated array.
Helper function for SciPy argument validation.
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