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d957db2 | 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 | import os
import argparse
from pathlib import Path
import scipy as sp
import matplotlib.pyplot as plt
def get_markersize(matrix_size: int, nnz: int) -> float:
"""
Calculate the marker size for the spy plot based on the matrix size.
"""
density = nnz / (matrix_size * matrix_size)
print(f" - Density of the matrix: {density}")
print(f" - Number of non-zero elements: {nnz}")
print(f" - Size of the matrix: {matrix_size} x {matrix_size}")
if matrix_size < 1000:
fixed_ratio = 0.01 / 10
else:
fixed_ratio = 0.01 / 10000
markersize = fixed_ratio * matrix_size
return markersize
def spy(matrix: sp.sparse.coo_matrix, file_name: str) -> None:
"""
Visualize the sparsity pattern of a sparse matrix using matplotlib.
"""
markersize = get_markersize(matrix.shape[0], matrix.nnz)
plt.figure(figsize=(10, 10))
plt.spy(matrix, markersize=markersize, color="teal")
# plt.spy(matrix, markersize=1)
plt.title(f"spyplot: {file_name}")
plt.tight_layout()
plt.show()
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Matrix Market utilities")
parser.add_argument("command", choices=["spy"], help="Command to execute")
parser.add_argument("input_file", help="Input file path")
args = parser.parse_args()
file_name = os.path.splitext(os.path.basename(args.input_file))[0]
print(f"file_name: {file_name}")
if args.command == "spy":
print("Visualizing sparsity pattern:")
matrix_coo = sp.sparse.load_npz(args.input_file).tocoo()
print(f" - Loaded NPZ file from: {args.input_file}")
spy(matrix_coo, file_name) |