docstr: ivy.Container static method variant of ivy.full_like. This method
  simply wraps the function, and so the docstring for ivy.full_like also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      input container.
  fill_value
      Scalar fill value
  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
      optional output container, for writing the result to. It must have a shape
      that the inputs broadcast to.
  dtype
      output array data type. If ``dtype`` is `None`, the output array data type
      must be inferred from ``self``. Default: ``None``.
  device
      device on which to place the created array. If ``device`` is ``None``, the
      output array device must be inferred from ``self``. Default: ``None``.
  
  Returns
  -------
  ret
      an output container having the same data type as ``x`` and whose elements,
      relative to ``x``, are shifted.
  
  Examples
  --------
  With :class:`ivy.Container` input:
  
  >>> x = ivy.Container(a = ivy.array([1,2,3]) ,b = ivy.array([4,5,6]))
  >>> fill_value = 10
  >>> y = ivy.Container.static_full_like(fill_value)
  {
      a: ivy.array([10, 10, 10]),
      b: ivy.array([10, 10, 10])
  }
  
  >>> x = ivy.Container(a=ivy.array([1.2, 2.2324, 3.234]),
  ...                   b=ivy.array([4.123, 5.23, 6.23]))
  >>> fill_value = 15.0
  >>> y = ivy.Container.static_full_like(fill_value)
  >>> print(y)
  {
      a: ivy.array([15., 15., 15.]),
      b: ivy.array([15., 15., 15.])
  }
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code: def _static_full_like(
      x: Union[ivy.Array, ivy.NativeArray, ivy.Container],
      /,
      fill_value: Union[int, float, 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,
      *,
      dtype: Optional[
          Union[ivy.Dtype, ivy.NativeDtype, ivy.Container]
      ] = None,
      device: Optional[
          Union[ivy.Device, ivy.NativeDevice, ivy.Container]
      ] = None,
      out: Optional[ivy.Container] = None,
  ) -> ivy.Container:
      """ivy.Container static method variant of ivy.full_like. This method
      simply wraps the function, and so the docstring for ivy.full_like also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          input container.
      fill_value
          Scalar fill value
      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
          optional output container, for writing the result to. It must have a shape
          that the inputs broadcast to.
      dtype
          output array data type. If ``dtype`` is `None`, the output array data type
          must be inferred from ``self``. Default: ``None``.
      device
          device on which to place the created array. If ``device`` is ``None``, the
          output array device must be inferred from ``self``. Default: ``None``.
  
      Returns
      -------
      ret
          an output container having the same data type as ``x`` and whose elements,
          relative to ``x``, are shifted.
  
      Examples
      --------
      With :class:`ivy.Container` input:
  
      >>> x = ivy.Container(a = ivy.array([1,2,3]) ,b = ivy.array([4,5,6]))
      >>> fill_value = 10
      >>> y = ivy.Container.static_full_like(fill_value)
      {
          a: ivy.array([10, 10, 10]),
          b: ivy.array([10, 10, 10])
      }
  
      >>> x = ivy.Container(a=ivy.array([1.2, 2.2324, 3.234]),
      ...                   b=ivy.array([4.123, 5.23, 6.23]))
      >>> fill_value = 15.0
      >>> y = ivy.Container.static_full_like(fill_value)
      >>> print(y)
      {
          a: ivy.array([15., 15., 15.]),
          b: ivy.array([15., 15., 15.])
      }
      """
      return ContainerBase.cont_multi_map_in_function(
          "full_like",
          x,
          fill_value=fill_value,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          dtype=dtype,
          device=device,
          out=out,
      )
  
imports: from typing import Optional, Union, List, Tuple, Dict, Sequence
  from numbers import Number
  import numpy
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 8 for calling the _ContainerWithCreation obj's underlying member method code with example usage: obj._static_full_like(fill_value, key_chains, to_apply, prune_unapplied, map_sequences) and returns: ContainerBase