code: def vander(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      N: Optional[int] = None,
      increasing: bool = False,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      return tf.experimental.numpy.vander(x, N=N, increasing=increasing)
  
imports: from typing import Union, Optional, Tuple, Literal, List, NamedTuple, Sequence
  from collections import namedtuple
  import tensorflow
  from tensorflow.python.framework.dtypes import DType
  import ivy
  from ivy import inf
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
label_desc: Use image node_id 27 for calling a global function with example usage: vander() and returns: tf