code: def evaluate_tensor_slice(tensor, tensor_slicing):
      """Call eval on the slicing of a tensor, with validation.
  
      Args:
        tensor: (numpy ndarray) The tensor value.
        tensor_slicing: (str or None) Slicing of the tensor, e.g., "[:, 1]". If
          None, no slicing will be performed on the tensor.
  
      Returns:
        (numpy ndarray) The sliced tensor.
  
      Raises:
        ValueError: If tensor_slicing is not a valid numpy ndarray slicing str.
      """
  
      _ = tensor
  
      if not validate_slicing_string(tensor_slicing):
          raise ValueError("Invalid tensor-slicing string.")
  
      return tensor[_parse_slices(tensor_slicing)]
  
imports: import argparse
  import ast
  import re
  import sys
label_desc: Use image node_id 13 for calling a global function with example usage: evaluate_tensor_slice(tensor, tensor_slicing) and returns: tensor