code: def create_from_padfn(
      padding: Union[hk.pad.PadFn, Sequence[hk.pad.PadFn]],
      kernel: Union[int, Sequence[int]],
      rate: Union[int, Sequence[int]],
      n: int,
  ) -> Sequence[tuple[int, int]]:
      """Generates the padding required for a given padding algorithm.
  
      Args:
        padding: callable/tuple or a sequence of callables/tuples. The callables
          take an integer representing the effective kernel size (kernel size when
          the rate is 1) and return a sequence of two integers representing the
          padding before and padding after for that dimension. The tuples are
          defined with two elements, padding before and after. If `padding` is a
          sequence it must be of length 1 or `n`.
        kernel: int or sequence of ints of length ``n``. The size of the kernel for
          each dimension. If it is an int it will be replicated for the non channel
          and batch dimensions.
        rate: int or sequence of ints of length ``n``. The dilation rate for each
          dimension. If it is an int it will be replicated for the non channel and
          batch dimensions.
        n: the number of spatial dimensions.
  
      Returns:
        A sequence of length n containing the padding for each element. These are of
        the form ``[pad_before, pad_after]``.
      """
      # The effective kernel size includes any holes/gaps introduced by the
      # dilation rate. It's equal to kernel_size when rate == 1.
      effective_kernel_size = map(
          lambda kernel, rate: (kernel - 1) * rate + 1,
          utils.replicate(kernel, n, "kernel"),
          utils.replicate(rate, n, "rate"),
      )
      paddings = map(
          lambda x, y: x(y),
          utils.replicate(padding, n, "padding"),
          effective_kernel_size,
      )
      return tuple(paddings)
  
file_path: dm-haiku/haiku/_src/pad.py
imports: from collections import abc
  from collections.abc import Sequence
  import typing
  from typing import Any, Callable, Union
  from haiku._src import utils
label_desc: Use image node_id 6 for calling a global function with example usage: create_from_padfn(padding, kernel, rate, n) and returns: tuple