def test_sparse_densify():
"""FP densify"""
sparse_fp = [
0, 33, 49, 53, 107, 156, 161, 203, 215, 230, 251, 269, 299, 323, 331,
376, 389, 410, 427, 430, 450, 484, 538, 592, 593, 636, 646, 658, 698,
699, 702, 741, 753, 807, 850, 861, 882, 915, 915, 915, 969, 969, 1023
]
# count vectors
dense = sparse_to_dense(sparse_fp, size=1024, count_bits=True)
csr = sparse_to_csr_matrix(sparse_fp, size=1024, count_bits=True)
assert_array_equal(dense.reshape(1, -1), csr.toarray())
resparsed = dense_to_sparse(dense)
assert_array_equal(sparse_fp, resparsed)
# bool vectors
dense = sparse_to_dense(sparse_fp, size=1024, count_bits=False)
csr = sparse_to_csr_matrix(sparse_fp, size=1024, count_bits=False)
assert_array_equal(dense.reshape(1, -1), csr.toarray())
resparsed = dense_to_sparse(dense)
assert_array_equal(np.unique(sparse_fp), resparsed)
# test stacking
np.random.seed(0)
sparse_fps = np.random.randint(0, 1024, size=(20, 100))
dense = np.vstack(sparse_to_dense(fp, size=1024) for fp in sparse_fps)
csr = sparse_vstack(
sparse_to_csr_matrix(fp, size=1024) for fp in sparse_fps)
assert_array_equal(dense, csr.toarray())
def test_sparse_densify():
"""FP densify"""
sparse_fp = [0, 33, 49, 53, 107, 156, 161, 203, 215, 230, 251, 269, 299,
323, 331, 376, 389, 410, 427, 430, 450, 484, 538, 592, 593,
636, 646, 658, 698, 699, 702, 741, 753, 807, 850, 861, 882,
915, 915, 915, 969, 969, 1023]
# count vectors
dense = sparse_to_dense(sparse_fp, size=1024, count_bits=True)
csr = sparse_to_csr_matrix(sparse_fp, size=1024, count_bits=True)
assert_array_equal(dense.reshape(1, -1), csr.toarray())
resparsed = dense_to_sparse(dense)
resparsed_csr = csr_matrix_to_sparse(csr)
assert_array_equal(sparse_fp, resparsed)
assert_array_equal(sparse_fp, resparsed_csr)
# bool vectors
dense = sparse_to_dense(sparse_fp, size=1024, count_bits=False)
csr = sparse_to_csr_matrix(sparse_fp, size=1024, count_bits=False)
assert_array_equal(dense.reshape(1, -1), csr.toarray())
resparsed = dense_to_sparse(dense)
resparsed_csr = csr_matrix_to_sparse(csr)
assert_array_equal(np.unique(sparse_fp), resparsed)
assert_array_equal(np.unique(sparse_fp), resparsed_csr)
# test stacking
np.random.seed(0)
sparse_fps = np.random.randint(0, 1024, size=(20, 100))
dense = np.vstack(sparse_to_dense(fp, size=1024) for fp in sparse_fps)
csr = sparse_vstack(sparse_to_csr_matrix(fp, size=1024) for fp in sparse_fps)
assert_array_equal(dense, csr.toarray())
# test exceptions
with pytest.raises(ValueError):
csr_matrix_to_sparse(np.array([1, 2, 3]))