functions.py 文件源码

def IntWeights(N, M,connectivity):    

    succ = False
    while not succ:    
        try:
            W_raw =  sparse.rand(N, M ,format='lil', density=connectivity )
            rows,cols = W_raw.nonzero()
            for row,col in zip(rows,cols):
                W_raw[row,col] = np.random.randn()
            specRad,eigenvecs = np.abs(lin.eigs(W_raw,1))
            W_raw =  np.squeeze(np.asarray(W_raw/specRad))
            succ = True
            return W_raw
        except:
            pass