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# This file is not meant for public use and will be removed in SciPy v2.0.0.
# Use the `scipy.sparse` namespace for importing the functions
# included below.
from scipy._lib.deprecation import _sub_module_deprecation
__all__ = [ # noqa: F822
'bsr_diagonal',
'bsr_eldiv_bsr',
'bsr_elmul_bsr',
'bsr_ge_bsr',
'bsr_gt_bsr',
'bsr_le_bsr',
'bsr_lt_bsr',
'bsr_matmat',
'bsr_matvec',
'bsr_matvecs',
'bsr_maximum_bsr',
'bsr_minimum_bsr',
'bsr_minus_bsr',
'bsr_ne_bsr',
'bsr_plus_bsr',
'bsr_scale_columns',
'bsr_scale_rows',
'bsr_sort_indices',
'bsr_tocsr',
'bsr_transpose',
'coo_matvec',
'coo_tocsr',
'coo_todense',
'cs_graph_components',
'csc_diagonal',
'csc_eldiv_csc',
'csc_elmul_csc',
'csc_ge_csc',
'csc_gt_csc',
'csc_le_csc',
'csc_lt_csc',
'csc_matmat',
'csc_matmat_maxnnz',
'csc_matvec',
'csc_matvecs',
'csc_maximum_csc',
'csc_minimum_csc',
'csc_minus_csc',
'csc_ne_csc',
'csc_plus_csc',
'csc_tocsr',
'csr_column_index1',
'csr_column_index2',
'csr_count_blocks',
'csr_diagonal',
'csr_eldiv_csr',
'csr_eliminate_zeros',
'csr_elmul_csr',
'csr_ge_csr',
'csr_gt_csr',
'csr_has_canonical_format',
'csr_has_sorted_indices',
'csr_hstack',
'csr_le_csr',
'csr_lt_csr',
'csr_matmat',
'csr_matmat_maxnnz',
'csr_matvec',
'csr_matvecs',
'csr_maximum_csr',
'csr_minimum_csr',
'csr_minus_csr',
'csr_ne_csr',
'csr_plus_csr',
'csr_row_index',
'csr_row_slice',
'csr_sample_offsets',
'csr_sample_values',
'csr_scale_columns',
'csr_scale_rows',
'csr_sort_indices',
'csr_sum_duplicates',
'csr_tobsr',
'csr_tocsc',
'csr_todense',
'dia_matvec',
'expandptr',
'get_csr_submatrix',
'test_throw_error',
]
def __dir__():
return __all__
def __getattr__(name):
return _sub_module_deprecation(sub_package="sparse", module="sparsetools",
private_modules=["_sparsetools"], all=__all__,
attribute=name)
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