code: def repeat(
      x: paddle.Tensor,
      /,
      repeats: Union[int, Iterable[int]],
      *,
      axis: Optional[int] = None,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      # handle the case when repeats contains 0 as paddle doesn't support it
      if (isinstance(repeats, Number) and repeats == 0) or (
          isinstance(repeats, paddle.Tensor)
          and repeats.size == 1
          and repeats.item() == 0
      ):
          if axis is None:
              return paddle.to_tensor([], dtype=x.dtype)
          else:
              shape = x.shape
              shape[axis] = 0
              return paddle.zeros(shape=shape).cast(x.dtype)
  
      if isinstance(repeats, paddle.Tensor) and repeats.size == 1:
          repeats = repeats.item()
  
      if axis is not None:
          axis %= x.ndim
      if paddle.is_complex(x):
          return paddle.complex(
              paddle.repeat_interleave(
                  x.real(), repeats=repeats, axis=axis
              ),
              paddle.repeat_interleave(
                  x.imag(), repeats=repeats, axis=axis
              ),
          )
      return paddle.repeat_interleave(x, repeats=repeats, axis=axis)
  
imports: from numbers import Number
  from typing import Union, Optional, Tuple, List, Sequence, Iterable
  import math
  import paddle
  import ivy
  import ivy.functional.backends.paddle
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
  from ...ivy.manipulation import _calculate_out_shape
label_desc: Use image node_id 11 for calling a global function with example usage: repeat(repeats) and returns: paddle, paddle, paddle, paddle