code: def _check_paddle_pad(
      mode,
      reflect_type,
      pad_width,
      input_shape,
      constant_values,
      ndim_limit,
      extend=True,
  ):
      if extend:
          pad_width = _to_tf_padding(pad_width, len(input_shape))
      return isinstance(constant_values, Number) and (
          mode == "constant"
          or (
              (
                  (
                      mode == "reflect"
                      and reflect_type == "even"
                      and all(
                          pad_width[i][0] < s and pad_width[i][1] < s
                          for i, s in enumerate(input_shape)
                      )
                  )
                  or mode in ["edge", "wrap"]
              )
              and len(input_shape) <= ndim_limit
          )
      )
  
imports: from typing import Optional, Union, Tuple, Iterable, Sequence, Callable, Any, Literal, List
  from numbers import Number
  from functools import partial
  import math
  import ivy
  from ivy.func_wrapper import handle_out_argument, handle_partial_mixed_function, to_native_arrays_and_back, inputs_to_native_shapes, handle_nestable, handle_array_like_without_promotion, handle_view, inputs_to_ivy_arrays, handle_array_function, handle_device, handle_backend_invalid
  from ivy.functional.ivy.general import _numel
  from ivy.utils.backend import current_backend
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 2 for calling a global function with example usage: _check_paddle_pad(mode, reflect_type, pad_width, input_shape, constant_values, ndim_limit, extend) and returns: unknown