docstr: Perform einops repeat operation on each sub array in the container.
  
  Parameters
  ----------
  x
      input container.
  pattern
      Rearrangement pattern.
  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``.
  axes_lengths
      Any additional specifications for dimensions.
  **axes_lengths
  
  Returns
  -------
      ivy.Container with each array having einops.repeat applied.
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.array([[30, 40], [50, 75]]),
  ...                   b=ivy.array([[1, 2], [4, 5]]))
  >>> repeated = ivy.Container.static_einops_repeat(
  ...    x, 'h w -> (tile h) w', tile=2)
  >>> print(repeated)
  {
      a: ivy.array([[30, 40],
                  [50, 75],
                  [30, 40],
                  [50, 75]]),
      b: ivy.array([[1, 2],
                  [4, 5],
                  [1, 2],
                  [4, 5]])
  }
docstr_tok: ["Perform","einops","repeat","operation","on","each","sub","array","in","the","container",".","Parameters","--","--","--","--","--","x","input","container",".","pattern","Rearrangement","pattern",".","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","``",".","axes_lengths","Any","additional","specifications","for","dimensions",".","*","*","axes_lengths","Returns","--","--","--","-","ivy.Container","with","each","array","having","einops.repeat","applied",".","Examples","--","--","--","--",">",">",">","x","=","ivy.Container","(","a=ivy.array","(","[","[","30",",","40","]",",","[","50",",","75","]","]",")",",","...","b=ivy.array","(","[","[","1",",","2","]",",","[","4",",","5","]","]",")",")",">",">",">","repeated","=","ivy.Container.static_einops_repeat","(","...","x",",","'","h","w","-",">","(","tile","h",")","w","'",",","tile=2",")",">",">",">","print","(","repeated",")","{","a",":","ivy.array","(","[","[","30",",","40","]",",","[","50",",","75","]",",","[","30",",","40","]",",","[","50",",","75","]","]",")",",","b",":","ivy.array","(","[","[","1",",","2","]",",","[","4",",","5","]",",","[","1",",","2","]",",","[","4",",","5","]","]",")","}"]
code: def _static_einops_repeat(
      x: ivy.Container,
      pattern: Union[str, 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,
      **axes_lengths: Union[Dict[str, int], ivy.Container],
  ) -> ivy.Container:
      """Perform einops repeat operation on each sub array in the container.
  
      Parameters
      ----------
      x
          input container.
      pattern
          Rearrangement pattern.
      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``.
      axes_lengths
          Any additional specifications for dimensions.
      **axes_lengths
  
      Returns
      -------
          ivy.Container with each array having einops.repeat applied.
  
      Examples
      --------
      >>> x = ivy.Container(a=ivy.array([[30, 40], [50, 75]]),
      ...                   b=ivy.array([[1, 2], [4, 5]]))
      >>> repeated = ivy.Container.static_einops_repeat(
      ...    x, 'h w -> (tile h) w', tile=2)
      >>> print(repeated)
      {
          a: ivy.array([[30, 40],
                      [50, 75],
                      [30, 40],
                      [50, 75]]),
          b: ivy.array([[1, 2],
                      [4, 5],
                      [1, 2],
                      [4, 5]])
      }
      """
      return ContainerBase.cont_multi_map_in_function(
          "einops_repeat",
          x,
          pattern,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
          **axes_lengths,
      )
  
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 33 for calling the _ContainerWithGeneral obj's underlying member method code with example usage: obj._static_einops_repeat() and returns: ContainerBase