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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def complex_matrix_plot(A, logA=False, normalize=False, plot=True, **kwds):

 r"""A function to plot complex matrices."""

    N = len(A[0])
    if logA:
        Anew = []
        for i in range(N):
            row = []
            for j in range(N):
                if A[i][j] != 0:
                    row += [log(log(A[i][j]))]
                else:
                    row += [0.0]
            Anew += [row]
        A = Anew[:]
        # A=[[log(A[i][j]) for j in range(N)] for i in range(N)]

    if normalize:
        norm = 1
        for i in range(N):
            for j in range(N):
                if abs(A[i][j]) > norm: norm = abs(A[i][j])

        A = [[A[i][j]/norm for j in range(N)]for i in range(N)]

    # print A
    color_matrix = []
    lmax = -1
    for i in range(N):
        row = []
        for j in range(N):
            rgb, l = complex_to_color(A[i][j])
            row += [rgb]
            if l > lmax:
                lmax = l
        color_matrix += [row]

    if normalize:
        color_matrix = [[tuple([k/lmax for k in color_matrix[i][j]])
                         for j in range(N)] for i in range(N)]

    if plot:
        pyplot.imshow(color_matrix, interpolation='none')
        pyplot.savefig('a.png', bbox_inches='tight')
        pyplot.close('all')
    else:
        return color_matrix