original_docstring:  Covolves with a Gaussian, with the given parameters
      - order: 0 for Gaussian; 1, 2, 3 for Gaussian derivates
      - mode: options are reflect, constatn, nearest, mirror, wrap
      - cval: value for pading when mode=constant is selected
      
docstring: Covolves with a Gaussian, with the given parameters
  order: 0 for Gaussian; 1, 2, 3 for Gaussian derivates
  mode: options are reflect, constatn, nearest, mirror, wrap
  cval: value for pading when mode=constant is selected
docstring_tokens: Covolves with a Gaussian with the given parameters order : 0 for Gaussian ; 1 2 3 for Gaussian derivates mode : options are reflect constatn nearest mirror wrap cval : value for pading when mode = constant is selected
code: def gauss_filter(arr, sigma, order=0, mode='constant', cval=0):
      ''' Covolves with a Gaussian, with the given parameters
      - order: 0 for Gaussian; 1, 2, 3 for Gaussian derivates
      - mode: options are reflect, constatn, nearest, mirror, wrap
      - cval: value for pading when mode=constant is selected
      '''
      gf = scipy.ndimage.filters.gaussian_filter(
          arr, sigma, order=order, mode=mode, cval=cval,
      )
      return gf
code_tokens: def gauss_filter ( arr , sigma , order = 0 , mode = 'constant' , cval = 0 ) : gf = scipy . ndimage . filters . gaussian_filter ( arr , sigma , order = order , mode = mode , cval = cval , ) return gf
short_docstring: Covolves with a Gaussian, with the given parameters
   order: 0 for Gaussian; 1, 2, 3 for Gaussian derivates
   mode: options are reflect, constatn, nearest, mirror, wrap
   cval: value for pading when mode=constant is selected
short_docstring_tokens: Covolves with a Gaussian with the given parameters order : 0 for Gaussian ; 1 2 3 for Gaussian derivates mode : options are reflect constatn nearest mirror wrap cval : value for pading when mode = constant is selected
comment: ''' Covolves with a Gaussian, with the given parameters
      - order: 0 for Gaussian; 1, 2, 3 for Gaussian derivates
      - mode: options are reflect, constatn, nearest, mirror, wrap
      - cval: value for pading when mode=constant is selected
      '''