def invert(W, copy=True):
    '''
    Inverts elementwise the weights in an input connection matrix.
    In other words, change the from the matrix of internode strengths to the
    matrix of internode distances.

    If copy is not set, this function will *modify W in place.*

    Parameters
    ----------
    W : np.ndarray
        weighted connectivity matrix
    copy : bool
        if True, returns a copy of the matrix. Otherwise, modifies the matrix
        in place. Default value=True.

    Returns
    -------
    W : np.ndarray
        inverted connectivity matrix
    '''
    if copy:
        W = W.copy()
    E = np.where(W)
    W[E] = 1. / W[E]
    return W
def invert ( W , copy = True ) : if copy : W = W . copy ( ) E = np . where ( W ) W [ E ] = 1. / W [ E ] return W
Inverts elementwise the weights in an input connection matrix.
    In other words, change the from the matrix of internode strengths to the
    matrix of internode distances.

    If copy is not set, this function will *modify W in place.*

    Parameters
    ----------
    W : np.ndarray
        weighted connectivity matrix
    copy : bool
        if True, returns a copy of the matrix. Otherwise, modifies the matrix
        in place. Default value=True.

    Returns
    -------
    W : np.ndarray
        inverted connectivity matrix