docstr: ivy.Container instance method variant of
  ivy.assert_supports_inplace. This method simply wraps the function, and
  so the docstring for ivy.assert_supports_inplace also applies to this
  method with minimal changes.
  
  Parameters
  ----------
  x
      input container to check for inplace support for.
  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``.
  
  Returns
  -------
  ret
      An ivy.Container instance of True bool values if nodes of the Container             support in-place operations, raises IvyBackendException otherwise
  
  Examples
  --------
  >>> ivy.set_backend("numpy")
  >>> x = ivy.Container(a=ivy.array([5, 6]), b=ivy.array([7, 8]))
  >>> print(x.assert_supports_inplace())
  {
      a: True,
      b: True
  }
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code: def assert_supports_inplace(
      self: 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,
  ) -> ivy.Container:
      """ivy.Container instance method variant of
          ivy.assert_supports_inplace. This method simply wraps the function, and
          so the docstring for ivy.assert_supports_inplace also applies to this
          method with minimal changes.
  
          Parameters
          ----------
          x
              input container to check for inplace support for.
          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``.
  
          Returns
          -------
          ret
              An ivy.Container instance of True bool values if nodes of the Container \
              support in-place operations, raises IvyBackendException otherwise
  
          Examples
          --------
          >>> ivy.set_backend("numpy")
          >>> x = ivy.Container(a=ivy.array([5, 6]), b=ivy.array([7, 8]))
          >>> print(x.assert_supports_inplace())
          {
              a: True,
              b: True
          }
          """
      return self._static_assert_supports_inplace(
          self,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
      )
  
imports: from numbers import Number
  from typing import Any, Union, List, Dict, Iterable, Optional, Callable
  from ivy.data_classes.container.base import ContainerBase
  import ivy
label_desc: Use image node_id 16 for calling the _ContainerWithGeneral obj's underlying member method code with example usage: obj.assert_supports_inplace() and returns: self