docstr: ivy.Container static method variant of ivy.zeta. This method simply
  wraps the function, and so the docstring for ivy.zeta also applies to
  this method with minimal changes.
  
  Parameters
  ----------
  x
      Input container containing first input arrays.
  q
      Input container containing second input arrays.
  key_chains
      The key-chains to apply or not apply the method to. Default is ``None``.
  to_apply
      If True, the method will be applied to key_chains, otherwise key_chains
      will be skipped. Default is ``True``.
  prune_unapplied
      Whether to prune key_chains for which the function was not applied.
      Default is ``False``.
  map_sequences
      Whether to also map method to sequences (lists, tuples).
      Default is ``False``.
  out
      Alternate output array in which to place the result.
      The default is None.
  
  Returns
  -------
  ret
      container including the zeta function computed element-wise
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.array([5.0, 3.0]),        ...                         b=ivy.array([2.0, 1.0])
  >>> q = ivy.Container(a=ivy.array([2.0]),        ...                         b=ivy.array([5.0]))
  >>> ivy.Container.static_zeta(x1, x2)
  {
      a: ivy.array([0.0369, 0.2021]),
      b: ivy.array([0.0006, 0.0244])
  }
code: def static_zeta(
      x: Union[ivy.Container, ivy.Array, ivy.NativeArray],
      q: Union[ivy.Container, ivy.Array, ivy.NativeArray],
      /,
      *,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = True,
      prune_unapplied: Union[bool, ivy.Container] = False,
      map_sequences: Union[bool, ivy.Container] = False,
      out: Optional[Union[ivy.Array, ivy.Container]] = None,
  ) -> ivy.Container:
      """ivy.Container static method variant of ivy.zeta. This method simply
          wraps the function, and so the docstring for ivy.zeta also applies to
          this method with minimal changes.
  
          Parameters
          ----------
          x
              Input container containing first input arrays.
          q
              Input container containing second input arrays.
          key_chains
              The key-chains to apply or not apply the method to. Default is ``None``.
          to_apply
              If True, the method will be applied to key_chains, otherwise key_chains
              will be skipped. Default is ``True``.
          prune_unapplied
              Whether to prune key_chains for which the function was not applied.
              Default is ``False``.
          map_sequences
              Whether to also map method to sequences (lists, tuples).
              Default is ``False``.
          out
              Alternate output array in which to place the result.
              The default is None.
  
          Returns
          -------
          ret
              container including the zeta function computed element-wise
  
          Examples
          --------
          >>> x = ivy.Container(a=ivy.array([5.0, 3.0]),\
          ...                         b=ivy.array([2.0, 1.0])
          >>> q = ivy.Container(a=ivy.array([2.0]),\
          ...                         b=ivy.array([5.0]))
          >>> ivy.Container.static_zeta(x1, x2)
          {
              a: ivy.array([0.0369, 0.2021]),
              b: ivy.array([0.0006, 0.0244])
          }
          """
      return ContainerBase.cont_multi_map_in_function(
          "zeta",
          x,
          q,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Optional, Union, List, Dict, Tuple, Sequence
  from numbers import Number
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 33 for calling the _ContainerWithElementWiseExperimental obj's underlying member method code with example usage: obj.static_zeta() and returns: ContainerBase