code: def pad(arr: np.ndarray, last_dim: int, value: float) -> np.ndarray:
      """Pads the given array with value until last dim is of size last_dim."""
      if arr.shape[-1] == last_dim:
          return arr
      pad_width = []
      for _ in arr.shape[:-1]:
          pad_width.append((0, 0))  # Don't pad inner dimensions
      pad_width.append(
          (0, last_dim - arr.shape[-1])
      )  # Pad up to last_dim
      return np.pad(
          arr,
          pad_width=pad_width,
          mode="constant",
          constant_values=value,
      )
  
imports: import inspect
  import math
  from typing import Any, Callable, Dict, Iterable, Iterator, List, Mapping, Optional, Tuple, Union
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import util
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 13 for calling a global function with example usage: pad(arr, last_dim, value) and returns: np, arr