popcornell

import numpy as np
import numba

@numba.jit(nopython=True, parallel=True) #parallel speeds up computation only over very large matrices
# M is a mxn matrix binary matrix 
# all elements in M should be uint8 
def gf2elim(M):

    m,n = M.shape

nrenga

% This is a modified version of matlab's building rref which calculates
% row-reduced echelon form in gf(2).  Useful for linear codes.
% Tolerance was removed because yolo, and because all values
% should only be 0 or 1.  @benathon

function [Arref, M, N, rnk] = g2rref(A)
%G2RREF   Reduced row echelon form in gf(2).
%   R = RREF(A) produces the reduced row echelon form of A in gf(2).
%
%   Class support for input A:

esromneb

% This is a modified version of matlab's building rref which calculates
% row-reduced echelon form in gf(2).  Useful for linear codes.
% Tolerance was removed because yolo, and because all values
% should only be 0 or 1.  @benathon

function [A] = g2rref(A)
%G2RREF   Reduced row echelon form in gf(2).
%   R = RREF(A) produces the reduced row echelon form of A in gf(2).
%
%   Class support for input A:

tbrianjones

1033edge.com
11mail.com
123.com
123box.net
123india.com
123mail.cl
123qwe.co.uk
126.com
150ml.com
15meg4free.com