docstr: ivy.Container static method variant of ivy.adjoint. This method
  simply wraps the function, and so the docstring for ivy.adjoint also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  x
      container with input arrays of dimensions greater than 1.
  out
      optional output container, for writing the result to.
  
  Returns
  -------
  ret
      container including arrays corresponding to the conjugate transpose of
      the arrays in the input container
  
  Examples
  --------
  >>> x = np.array([[1.-1.j, 2.+2.j],
                    [3.+3.j, 4.-4.j]])
  >>> y = np.array([[1.-2.j, 3.+4.j],
                    [1.-0.j, 2.+6.j]])
  >>> c = ivy.Container(a=ivy.array(x), b=ivy.array(y))
  >>> ivy.Container.static_adjoint(c)
  {
      a: ivy.array([[1.+1.j, 3.-3.j],
                    [2.-2.j, 4.+4.j]]),
      b: ivy.array([[1.+2.j, 1.-0.j],
                    [3.-4.j, 2.-6.j]])
  }
docstr_tok: ["ivy.Container","static","method","variant","of","ivy.adjoint",".","This","method","simply","wraps","the","function",",","and","so","the","docstring","for","ivy.adjoint","also","applies","to","this","method","with","minimal","changes",".","Parameters","--","--","--","--","--","x","container","with","input","arrays","of","dimensions","greater","than","1.","out","optional","output","container",",","for","writing","the","result","to",".","Returns","--","--","--","-","ret","container","including","arrays","corresponding","to","the","conjugate","transpose","of","the","arrays","in","the","input","container","Examples","--","--","--","--",">",">",">","x","=","np.array","(","[","[","1.-1.j",",","2.+2.j","]",",","[","3.+3.j",",","4.-4.j","]","]",")",">",">",">","y","=","np.array","(","[","[","1.-2.j",",","3.+4.j","]",",","[","1.-0.j",",","2.+6.j","]","]",")",">",">",">","c","=","ivy.Container","(","a=ivy.array","(","x",")",",","b=ivy.array","(","y",")",")",">",">",">","ivy.Container.static_adjoint","(","c",")","{","a",":","ivy.array","(","[","[","1.+1.j",",","3.-3.j","]",",","[","2.-2.j",",","4.+4.j","]","]",")",",","b",":","ivy.array","(","[","[","1.+2.j",",","1.-0.j","]",",","[","3.-4.j",",","2.-6.j","]","]",")","}"]
code: def static_adjoint(
      x: ivy.Container,
      /,
      *,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = True,
      out: Optional[ivy.Container] = None,
  ):
      """ivy.Container static method variant of ivy.adjoint. This method
      simply wraps the function, and so the docstring for ivy.adjoint also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      x
          container with input arrays of dimensions greater than 1.
      out
          optional output container, for writing the result to.
  
      Returns
      -------
      ret
          container including arrays corresponding to the conjugate transpose of
          the arrays in the input container
  
      Examples
      --------
      >>> x = np.array([[1.-1.j, 2.+2.j],
                        [3.+3.j, 4.-4.j]])
      >>> y = np.array([[1.-2.j, 3.+4.j],
                        [1.-0.j, 2.+6.j]])
      >>> c = ivy.Container(a=ivy.array(x), b=ivy.array(y))
      >>> ivy.Container.static_adjoint(c)
      {
          a: ivy.array([[1.+1.j, 3.-3.j],
                        [2.-2.j, 4.+4.j]]),
          b: ivy.array([[1.+2.j, 1.-0.j],
                        [3.-4.j, 2.-6.j]])
      }
      """
      return ContainerBase.cont_multi_map_in_function(
          "adjoint",
          x,
          out=out,
          key_chains=key_chains,
          to_apply=to_apply,
      )
  
imports: from typing import Union, Optional, List, Dict, Tuple, Sequence, Literal
  from ivy.data_classes.container.base import ContainerBase
  import ivy
label_desc: Use image node_id 13 for calling the _ContainerWithLinearAlgebraExperimental obj's underlying member method code with example usage: obj.static_adjoint() and returns: ContainerBase