You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: rbfsetfw.m
    path of file: ./repos/bnt/netlab3.3
    
    the code of the file until where you have to start completion: function net = rbfsetfw(net, scale)
%RBFSETFW Set basis function widths of RBF.
%
%	Description
%	NET = RBFSETFW(NET, SCALE) sets the widths of the basis functions of
%	the RBF network NET. If Gaussian basis functions are used, then the
%	variances are set to the largest squared distance between centres if
%	SCALE is non-positive and SCALE times the mean distance of each
%	centre to its nearest neighbour if SCALE is positive.  Non-Gaussian

    
function net = rbfsetfw(net, scale)
%RBFSETFW Set basis function widths of RBF.
%
%	Description
%	NET = RBFSETFW(NET, SCALE) sets the widths of the basis functions of
%	the RBF network NET. If Gaussian basis functions are used, then the
%	variances are set to the largest squared distance between centres if
%	SCALE is non-positive and SCALE times the mean distance of each
%	centre to its nearest neighbour if SCALE is positive.  Non-Gaussian
%	basis functions do not have a width.
%
%	See also
%	RBFTRAIN, RBFSETBF, GMMEM
%

%	Copyright (c) Ian T Nabney (1996-2001)

% Set the variances to be the largest squared distance between centres
if strcmp(net.actfn, 'gaussian')
   cdist = dist2(net.c, net.c);
   if scale > 0.0
      % Set variance of basis to be scale times average
      % distance to nearest neighbour
      cdist = cdist + realmax*eye(net.nhidden);
      widths = scale*mean(min(cdist));
   else
      widths = max(max(cdist));
   end