docstr: ivy.Container instance method variant of ivy.xlogy. This method
  simply wraps the function, and so the docstring for ivy.xlogy also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      Input container containing first input array.
  y
      Input container containing second input array.
  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 next representable values of
      input container's arrays, element-wise
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.zeros(3)),        ...                         b=ivy.array([1.0, 2.0, 3.0]))
  >>> y = ivy.Container(a=ivy.array([-1.0, 0.0, 1.0]),        ...                         b=ivy.array([3.0, 2.0, 1.0]))
  >>> x.xlogy(y)
  {
      a: ivy.array([0.0, 0.0, 0.0]),
      b: ivy.array([1.0986, 1.3863, 0.0000])
  }
code: def xlogy(
      self: ivy.Container,
      y: ivy.Container,
      /,
      *,
      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[ivy.Container] = None,
  ) -> ivy.Container:
      """ivy.Container instance method variant of ivy.xlogy. This method
          simply wraps the function, and so the docstring for ivy.xlogy also
          applies to this method with minimal changes.
  
          Parameters
          ----------
          self
              Input container containing first input array.
          y
              Input container containing second input array.
          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 next representable values of
              input container's arrays, element-wise
  
          Examples
          --------
          >>> x = ivy.Container(a=ivy.zeros(3)),\
          ...                         b=ivy.array([1.0, 2.0, 3.0]))
          >>> y = ivy.Container(a=ivy.array([-1.0, 0.0, 1.0]),\
          ...                         b=ivy.array([3.0, 2.0, 1.0]))
          >>> x.xlogy(y)
          {
              a: ivy.array([0.0, 0.0, 0.0]),
              b: ivy.array([1.0986, 1.3863, 0.0000])
          }
          """
      return self.static_xlogy(
          self,
          y,
          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 38 for calling the _ContainerWithElementWiseExperimental obj's underlying member method code with example usage: obj.xlogy() and returns: self