Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.
run main.py , show“No module named 'utilities.file'”
When running python main.py bsc 1200_3_6_ldpc MSA --codeword -1 --params 0.1 --console --max-iter 10, I receive an AttributeError : AttributeError: 'Code' object has no attribute 'cb' from line 38 of main.py
Is there no support for random codewords with large encoding matrices, or am I making a mistake in my command?
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