original_docstring: Compute the minimum filter along a single axis.
  
      Args:
          input (cupy.ndarray): The input array.
          size (int): Length of the minimum filter.
          axis (int): The axis of input along which to calculate. Default is -1.
          output (cupy.ndarray, dtype or None): The array in which to place the
              output. Default is is same dtype as the input.
          mode (str): The array borders are handled according to the given mode
              (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``,
              ``'wrap'``). Default is ``'reflect'``.
          cval (scalar): Value to fill past edges of input if mode is
              ``'constant'``. Default is ``0.0``.
          origin (int): The origin parameter controls the placement of the
              filter, relative to the center of the current element of the
              input. Default is ``0``.
  
      Returns:
          cupy.ndarray: The result of the filtering.
  
      .. seealso:: :func:`scipy.ndimage.minimum_filter1d`
      
docstring: Compute the minimum filter along a single axis.
docstring_tokens: Compute the minimum filter along a single axis .
code: def minimum_filter1d(input, size, axis=-1, output=None, mode="reflect",
                       cval=0.0, origin=0):
      """Compute the minimum filter along a single axis.
  
      Args:
          input (cupy.ndarray): The input array.
          size (int): Length of the minimum filter.
          axis (int): The axis of input along which to calculate. Default is -1.
          output (cupy.ndarray, dtype or None): The array in which to place the
              output. Default is is same dtype as the input.
          mode (str): The array borders are handled according to the given mode
              (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``,
              ``'wrap'``). Default is ``'reflect'``.
          cval (scalar): Value to fill past edges of input if mode is
              ``'constant'``. Default is ``0.0``.
          origin (int): The origin parameter controls the placement of the
              filter, relative to the center of the current element of the
              input. Default is ``0``.
  
      Returns:
          cupy.ndarray: The result of the filtering.
  
      .. seealso:: :func:`scipy.ndimage.minimum_filter1d`
      """
      return _min_or_max_1d(input, size, axis, output, mode, cval, origin, 'min')
code_tokens: def minimum_filter1d ( input , size , axis = - 1 , output = None , mode = "reflect" , cval = 0.0 , origin = 0 ) : return _min_or_max_1d ( input , size , axis , output , mode , cval , origin , 'min' )
short_docstring: Compute the minimum filter along a single axis.
short_docstring_tokens: Compute the minimum filter along a single axis .
comment: """Compute the minimum filter along a single axis.
  
      Args:
          input (cupy.ndarray): The input array.
          size (int): Length of the minimum filter.
          axis (int): The axis of input along which to calculate. Default is -1.
          output (cupy.ndarray, dtype or None): The array in which to place the
              output. Default is is same dtype as the input.
          mode (str): The array borders are handled according to the given mode
              (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``,
              ``'wrap'``). Default is ``'reflect'``.
          cval (scalar): Value to fill past edges of input if mode is
              ``'constant'``. Default is ``0.0``.
          origin (int): The origin parameter controls the placement of the
              filter, relative to the center of the current element of the
              input. Default is ``0``.
  
      Returns:
          cupy.ndarray: The result of the filtering.
  
      .. seealso:: :func:`scipy.ndimage.minimum_filter1d`
      """