docstr: ivy.Container static method variant of ivy.erfc. This method simply
  wraps the function, and so the docstring for ivy.erfc also applies to
  this method with minimal changes.
  
  Parameters
  ----------
  x
      The container whose array contains real or complex valued argument.
  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.
  
  Returns
  -------
  ret
      container with values of the complementary error function.
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.array([1., 2.]), b=ivy.array([-3., -4.]))
  >>> ivy.Container.static_erfc(x)
  {
      a: ivy.array([0.15729921, 0.00467773]),
      b: ivy.array([1.99997795, 2.])
  }
code: def static_erfc(
      x: Union[ivy.Array, ivy.NativeArray, 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 static method variant of ivy.erfc. This method simply
      wraps the function, and so the docstring for ivy.erfc also applies to
      this method with minimal changes.
  
      Parameters
      ----------
      x
          The container whose array contains real or complex valued argument.
      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.
  
      Returns
      -------
      ret
          container with values of the complementary error function.
  
      Examples
      --------
      >>> x = ivy.Container(a=ivy.array([1., 2.]), b=ivy.array([-3., -4.]))
      >>> ivy.Container.static_erfc(x)
      {
          a: ivy.array([0.15729921, 0.00467773]),
          b: ivy.array([1.99997795, 2.])
      }
      """
      return ContainerBase.cont_multi_map_in_function(
          "erfc",
          x,
          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 55 for calling the _ContainerWithElementWiseExperimental obj's underlying member method code with example usage: obj.static_erfc() and returns: ContainerBase