original_docstring: 
      Zoom an array.
  
      The array is zoomed using spline interpolation of the requested order.
  
      Parameters
      ----------
      input : ndarray
          The input array.
      zoom : float or sequence, optional
          The zoom factor along the axes. If a float, `zoom` is the same for each
          axis. If a sequence, `zoom` should contain one value for each axis.
      output : ndarray or dtype, optional
          The array in which to place the output, or the dtype of the returned
          array.
      order : int, optional
          The order of the spline interpolation, default is 3.
          The order has to be in the range 0-5.
      mode : str, optional
          Points outside the boundaries of the input are filled according
          to the given mode ('constant', 'nearest', 'reflect' or 'wrap').
          Default is 'constant'.
      cval : scalar, optional
          Value used for points outside the boundaries of the input if
          ``mode='constant'``. Default is 0.0
      prefilter : bool, optional
          The parameter prefilter determines if the input is pre-filtered with
          `spline_filter` before interpolation (necessary for spline
          interpolation of order > 1).  If False, it is assumed that the input is
          already filtered. Default is True.
  
      Returns
      -------
      zoom : ndarray or None
          The zoomed input. If `output` is given as a parameter, None is
          returned.
  
      
docstring: Zoom an array.
  The array is zoomed using spline interpolation of the requested order.
  
  Parameters
  
  input : ndarray
  The input array.
  zoom : float or sequence, optional
  The zoom factor along the axes. If a float, `zoom` is the same for each
  axis. If a sequence, `zoom` should contain one value for each axis.
  output : ndarray or dtype, optional
  The array in which to place the output, or the dtype of the returned
  array.
  order : int, optional
  The order of the spline interpolation, default is 3.
  The order has to be in the range 0-5.
  
  Returns
  
  zoom : ndarray or None
  The zoomed input. If `output` is given as a parameter, None is
  returned.
docstring_tokens: Zoom an array . The array is zoomed using spline interpolation of the requested order . Parameters input : ndarray The input array . zoom : float or sequence optional The zoom factor along the axes . If a float ` zoom ` is the same for each axis . If a sequence ` zoom ` should contain one value for each axis . output : ndarray or dtype optional The array in which to place the output or the dtype of the returned array . order : int optional The order of the spline interpolation default is 3 . The order has to be in the range 0 - 5 . Returns zoom : ndarray or None The zoomed input . If ` output ` is given as a parameter None is returned .
code: def zoom(input, zoom, output=None, order=3, mode='constant', cval=0.0,
           prefilter=True):
      """
      Zoom an array.
  
      The array is zoomed using spline interpolation of the requested order.
  
      Parameters
      ----------
      input : ndarray
          The input array.
      zoom : float or sequence, optional
          The zoom factor along the axes. If a float, `zoom` is the same for each
          axis. If a sequence, `zoom` should contain one value for each axis.
      output : ndarray or dtype, optional
          The array in which to place the output, or the dtype of the returned
          array.
      order : int, optional
          The order of the spline interpolation, default is 3.
          The order has to be in the range 0-5.
      mode : str, optional
          Points outside the boundaries of the input are filled according
          to the given mode ('constant', 'nearest', 'reflect' or 'wrap').
          Default is 'constant'.
      cval : scalar, optional
          Value used for points outside the boundaries of the input if
          ``mode='constant'``. Default is 0.0
      prefilter : bool, optional
          The parameter prefilter determines if the input is pre-filtered with
          `spline_filter` before interpolation (necessary for spline
          interpolation of order > 1).  If False, it is assumed that the input is
          already filtered. Default is True.
  
      Returns
      -------
      zoom : ndarray or None
          The zoomed input. If `output` is given as a parameter, None is
          returned.
  
      """
      if order < 0 or order > 5:
          raise RuntimeError('spline order not supported')
      input = numpy.asarray(input)
      if numpy.iscomplexobj(input):
          raise TypeError('Complex type not supported')
      if input.ndim < 1:
          raise RuntimeError('input and output rank must be > 0')
      mode = _extend_mode_to_code(mode)
      if prefilter and order > 1:
          filtered = spline_filter(input, order, output=numpy.float64)
      else:
          filtered = input
      zoom = _ni_support._normalize_sequence(zoom, input.ndim)
      output_shape = tuple(
              [int(round(ii * jj)) for ii, jj in zip(input.shape, zoom)])
  
      output_shape_old = tuple(
              [int(ii * jj) for ii, jj in zip(input.shape, zoom)])
      if output_shape != output_shape_old:
          warnings.warn(
                  "From scipy 0.13.0, the output shape of zoom() is calculated "
                  "with round() instead of int() - for these inputs the size of "
                  "the returned array has changed.", UserWarning)
  
      zoom_div = numpy.array(output_shape, float) - 1
      zoom = (numpy.array(input.shape) - 1) / zoom_div
  
      # Zooming to non-finite values is unpredictable, so just choose
      # zoom factor 1 instead
      zoom[~numpy.isfinite(zoom)] = 1
  
      output, return_value = _ni_support._get_output(output, input,
                                                     shape=output_shape)
      zoom = numpy.asarray(zoom, dtype=numpy.float64)
      zoom = numpy.ascontiguousarray(zoom)
      _nd_image.zoom_shift(filtered, zoom, None, output, order, mode, cval)
      return return_value
code_tokens: def zoom ( input , zoom , output = None , order = 3 , mode = 'constant' , cval = 0.0 , prefilter = True ) : if order < 0 or order > 5 : raise RuntimeError ( 'spline order not supported' ) input = numpy . asarray ( input ) if numpy . iscomplexobj ( input ) : raise TypeError ( 'Complex type not supported' ) if input . ndim < 1 : raise RuntimeError ( 'input and output rank must be > 0' ) mode = _extend_mode_to_code ( mode ) if prefilter and order > 1 : filtered = spline_filter ( input , order , output = numpy . float64 ) else : filtered = input zoom = _ni_support . _normalize_sequence ( zoom , input . ndim ) output_shape = tuple ( [ int ( round ( ii * jj ) ) for ii , jj in zip ( input . shape , zoom ) ] ) output_shape_old = tuple ( [ int ( ii * jj ) for ii , jj in zip ( input . shape , zoom ) ] ) if output_shape != output_shape_old : warnings . warn ( "From scipy 0.13.0, the output shape of zoom() is calculated " "with round() instead of int() - for these inputs the size of " "the returned array has changed." , UserWarning ) zoom_div = numpy . array ( output_shape , float ) - 1 zoom = ( numpy . array ( input . shape ) - 1 ) / zoom_div zoom [ ~ numpy . isfinite ( zoom ) ] = 1 output , return_value = _ni_support . _get_output ( output , input , shape = output_shape ) zoom = numpy . asarray ( zoom , dtype = numpy . float64 ) zoom = numpy . ascontiguousarray ( zoom ) _nd_image . zoom_shift ( filtered , zoom , None , output , order , mode , cval ) return return_value
short_docstring: Zoom an array.
short_docstring_tokens: Zoom an array .
comment: """
      Zoom an array.
  
      The array is zoomed using spline interpolation of the requested order.
  
      Parameters
      ----------
      input : ndarray
          The input array.
      zoom : float or sequence, optional
          The zoom factor along the axes. If a float, `zoom` is the same for each
          axis. If a sequence, `zoom` should contain one value for each axis.
      output : ndarray or dtype, optional
          The array in which to place the output, or the dtype of the returned
          array.
      order : int, optional
          The order of the spline interpolation, default is 3.
          The order has to be in the range 0-5.
      mode : str, optional
          Points outside the boundaries of the input are filled according
          to the given mode ('constant', 'nearest', 'reflect' or 'wrap').
          Default is 'constant'.
      cval : scalar, optional
          Value used for points outside the boundaries of the input if
          ``mode='constant'``. Default is 0.0
      prefilter : bool, optional
          The parameter prefilter determines if the input is pre-filtered with
          `spline_filter` before interpolation (necessary for spline
          interpolation of order > 1).  If False, it is assumed that the input is
          already filtered. Default is True.
  
      Returns
      -------
      zoom : ndarray or None
          The zoomed input. If `output` is given as a parameter, None is
          returned.
  
      """$SEP$# Zooming to non-finite values is unpredictable, so just choose$SEP$# zoom factor 1 instead