code: def pads_to_padtype(
      in_shape, window_shape, window_strides, padding
  ) -> str:
      for pad_str in ["VALID", "SAME"]:
          pads = lax.padtype_to_pads(
              in_shape, window_shape, window_strides, pad_str
          )
          if list(pads) == list(padding):
              return pad_str
      return "EXPLICIT"
  
imports: from __future__ import annotations
  import builtins
  from collections.abc import Sequence
  import dataclasses
  from functools import partial, wraps
  import math
  import string
  from typing import Any, Callable, Optional
  from jax._src import core
  from jax import lax
  from jax._src.lax import slicing
  from jax._src import dtypes
  from jax._src import util
  from jax.experimental.jax2tf import jax2tf
  import numpy
  import tensorflow
label_desc: Use image node_id 6 for calling a global function with example usage: pads_to_padtype(in_shape, window_shape, window_strides, padding) and returns: str, pad_str