docstr: Transpose a matrix (or a stack of matrices) ``x``.
  
  Parameters
  ----------
  x
      input Container which will have arrays with shape ``(..., M, N)``
      and whose innermost two dimensions form ``MxN`` matrices.
  out
      optional output array, for writing the result to. It must have a
      shape that the inputs broadcast to.
  
  Returns
  -------
  ret
      A container with the transposes for each matrix and having shape
      ``(..., N, M)``. The returned array must have the same data
      type as ``x``.
  
  
  Examples
  --------
  With :code:`ivy.Container` instance method:
  
  >>> x = ivy.Container(a=ivy.array([[1., 1.], [0., 3.]]),                         b=ivy.array([[0., 4.], [3., 1.]]))
  >>> y = ivy.Container.static_matrix_transpose(x)
  >>> print(y)
  {
      a: ivy.array([[1., 0.],
                    [1., 3.]]),
      b: ivy.array([[0., 3.],
                    [4., 1.]])
  }
code: def _static_matrix_transpose(
      x: Union[ivy.Array, ivy.NativeArray, ivy.Container],
      /,
      *,
      conjugate: Union[bool, ivy.Container] = False,
      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:
      """Transpose a matrix (or a stack of matrices) ``x``.
  
          Parameters
          ----------
          x
              input Container which will have arrays with shape ``(..., M, N)``
              and whose innermost two dimensions form ``MxN`` matrices.
          out
              optional output array, for writing the result to. It must have a
              shape that the inputs broadcast to.
  
          Returns
          -------
          ret
              A container with the transposes for each matrix and having shape
              ``(..., N, M)``. The returned array must have the same data
              type as ``x``.
  
  
          Examples
          --------
          With :code:`ivy.Container` instance method:
  
          >>> x = ivy.Container(a=ivy.array([[1., 1.], [0., 3.]]), \
                          b=ivy.array([[0., 4.], [3., 1.]]))
          >>> y = ivy.Container.static_matrix_transpose(x)
          >>> print(y)
          {
              a: ivy.array([[1., 0.],
                            [1., 3.]]),
              b: ivy.array([[0., 3.],
                            [4., 1.]])
          }
          """
      return ContainerBase.cont_multi_map_in_function(
          "matrix_transpose",
          x,
          conjugate=conjugate,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Union, Optional, Tuple, Literal, List, Dict, Sequence
  from ivy.data_classes.container.base import ContainerBase
  import ivy
label_desc: Use image node_id 29 for calling the _ContainerWithLinearAlgebra obj's underlying member method code with example usage: obj._static_matrix_transpose() and returns: ContainerBase