init
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from abc import ABC
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__all__ = ["SparseABC", "issparse"]
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class SparseABC(ABC):
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pass
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def issparse(x):
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"""Is `x` of a sparse array or sparse matrix type?
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Parameters
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----------
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x
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object to check for being a sparse array or sparse matrix
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Returns
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-------
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bool
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True if `x` is a sparse array or a sparse matrix, False otherwise
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Notes
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-----
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Use `isinstance(x, sp.sparse.sparray)` to check between an array or matrix.
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Use `a.format` to check the sparse format, e.g. `a.format == 'csr'`.
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Examples
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--------
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>>> import numpy as np
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>>> from scipy.sparse import csr_array, csr_matrix, issparse
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>>> issparse(csr_matrix([[5]]))
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True
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>>> issparse(csr_array([[5]]))
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True
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>>> issparse(np.array([[5]]))
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False
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>>> issparse(5)
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False
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"""
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return isinstance(x, SparseABC)
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