def sum_rows(rows):
"""
Accepts mutliple rows of matrices and sums the matrices in each column
"""
first_row = rows[0]
accumulators = [
sparse_matrix(matrix.shape, integer=is_integer(matrix)) for matrix in first_row
]
for row in rows:
for accumulator, matrix in zip(accumulators, row):
accumulator += matrix
return [finalise_matrix(matrix) for matrix in accumulators]
def prepare_matrix_value(matrix):
if is_integer(matrix):
matrix = convert_to_smallest_int_type(matrix)
data = serialize_compressed(matrix)
return sqlite3.Binary(data)