code: def _parse_slices(slicing_string):
      """Construct a tuple of slices from the slicing string.
  
      The string must be a valid slicing string.
  
      Args:
        slicing_string: (str) Input slicing string to be parsed.
  
      Returns:
        tuple(slice1, slice2, ...)
  
      Raises:
        ValueError: If tensor_slicing is not a valid numpy ndarray slicing str.
      """
      parsed = []
      for slice_string in slicing_string[1:-1].split(","):
          indices = slice_string.split(":")
          if len(indices) == 1:
              parsed.append(int(indices[0].strip()))
          elif 2 <= len(indices) <= 3:
              parsed.append(
                  slice(
                      *[
                          int(index.strip()) if index.strip() else None
                          for index in indices
                      ]
                  )
              )
          else:
              raise ValueError("Invalid tensor-slicing string.")
      return tuple(parsed)
  
imports: import argparse
  import ast
  import re
  import sys
label_desc: Use image node_id 5 for calling a global function with example usage: _parse_slices(slicing_string) and returns: tuple