code: 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 f 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
docs: 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