code: def canonicalize_padding(
      padding: PaddingLike, rank: int
  ) -> LaxPadding:
      """ "Canonicalizes conv padding to a jax.lax supported format."""
      if isinstance(padding, str):
          return padding
      if isinstance(padding, int):
          return [(padding, padding)] * rank
      if isinstance(padding, Sequence) and len(padding) == rank:
          new_pad = []
          for p in padding:
              if isinstance(p, int):
                  new_pad.append((p, p))
              elif isinstance(p, tuple) and len(p) == 2:
                  new_pad.append(p)
              else:
                  break
          if len(new_pad) == rank:
              return new_pad
      raise ValueError(
          f"Invalid padding format: {padding}, should be str, int,"
          f" or a sequence of len {rank} where each element is an"
          " int or pair of ints."
      )
  
imports: import dataclasses
  from typing import Any, Callable, Iterable, List, Optional, Sequence, Tuple, Union
  import jax
  import jax.numpy
  import numpy
  from jax import eval_shape, lax
  from jax.core import ShapedArray
  from flax.core import meta
  from flax.linen import initializers
  from flax.linen.dtypes import promote_dtype
  from flax.linen.module import Module, compact
label_desc: Use image node_id 4 for calling a global function with example usage: canonicalize_padding(padding, rank) and returns: padding, unknown, new_pad