File size: 2,396 Bytes
5d1e260 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | import os
import argparse
from pathlib import Path
import scipy as sp
def print_matinfos(matrix: sp.sparse.coo_matrix) -> None:
print(f" - Size of the matrix: {matrix.shape}")
print(f" - Number of non-zero elements: {matrix.nnz}")
print(f" - Data type of the matrix: {matrix.dtype}")
def load_matrixmarket(path_input: Path) -> sp.sparse.coo_matrix:
"""
Load a Matrix Market file and return it as scipy.sparse.coo_matrix.
"""
print(f" - Loaded Matrix Market file from: {path_input}")
matrix = sp.io.mmread(path_input)
print_matinfos(matrix)
return matrix
def save_matrixmarket(matrix: sp.sparse.coo_matrix, path_output: Path) -> None:
"""
Save a scipy.sparse.coo_matrix to a Matrix Market file.
"""
print(f" - Saving Matrix Market file to: {path_output}")
sp.io.mmwrite(
path_output,
matrix,
)
print(" - Successfully saved Matrix Market file.")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Matrix Market utilities")
parser.add_argument("command", choices=["mm2npz", "npz2mm"], help="Command to execute")
parser.add_argument("input_file", help="Input file path")
parser.add_argument("output_file", help="Output file path")
args = parser.parse_args()
print("args:", args)
if args.command == "mm2npz":
print("Converting Matrix Market to NPZ format:")
matrix_coo = load_matrixmarket(args.input_file)
input_matrix_name = os.path.splitext(os.path.basename(args.input_file))[0]
output_matrix_name = Path.joinpath(
Path(args.output_file), f"{input_matrix_name}.npz"
)
print(f" - Saving to NPZ format: {output_matrix_name}")
sp.sparse.save_npz(output_matrix_name, matrix_coo)
elif args.command == "npz2mm":
print("Converting NPZ to Matrix Market format:")
matrix_coo = sp.sparse.load_npz(args.input_file).tocoo()
print(f" - Loaded NPZ file from: {args.input_file}")
print_matinfos(matrix_coo)
input_matrix_name = os.path.splitext(os.path.basename(args.input_file))[0]
output_matrix_name = Path.joinpath(
Path(args.output_file), f"{input_matrix_name}.mtx"
)
print(f" - Saving to Matrix Market format: {output_matrix_name}")
save_matrixmarket(matrix_coo, output_matrix_name) |