docstr: ivy.Container instance method variant of ivy.clip_vector_norm. This
  method simply wraps the function, and so the docstring for
  ivy.clip_vector_norm also applies to this method with minimal changes.
  
  Parameters
  ----------
  x
      input array
  max_norm
      float, the maximum value of the array norm.
  p
      optional float, the p-value for computing the p-norm.
      Default is 2.
  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 array, for writing the result to. It must
      have a shape that the inputs broadcast to.
  
  Returns
  -------
  ret
      An array with the vector norm downscaled to the max norm if needed.
  
  Examples
  --------
  With :class:`ivy.Container` instance method:
  
  >>> x = ivy.Container(a=ivy.array([0., 1., 2.]),b=ivy.array([3., 4., 5.]))
  >>> y = ivy.Container.static_clip_vector_norm(x, 2.0)
  >>> print(y)
  {
      a: ivy.array([0., 0.894, 1.79]),
      b: ivy.array([0.849, 1.13, 1.41])
  }
docstr_tok: ["ivy.Container","instance","method","variant","of","ivy.clip_vector_norm",".","This","method","simply","wraps","the","function",",","and","so","the","docstring","for","ivy.clip_vector_norm","also","applies","to","this","method","with","minimal","changes",".","Parameters","--","--","--","--","--","x","input","array","max_norm","float",",","the","maximum","value","of","the","array","norm",".","p","optional","float",",","the","p-value","for","computing","the","p-norm",".","Default","is","2.","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","array",",","for","writing","the","result","to",".","It","must","have","a","shape","that","the","inputs","broadcast","to",".","Returns","--","--","--","-","ret","An","array","with","the","vector","norm","downscaled","to","the","max","norm","if","needed",".","Examples","--","--","--","--","With",":","class",":","`","ivy.Container","`","instance","method",":",">",">",">","x","=","ivy.Container","(","a=ivy.array","(","[","0.",",","1.",",","2",".","]",")",",","b=ivy.array","(","[","3.",",","4.",",","5",".","]",")",")",">",">",">","y","=","ivy.Container.static_clip_vector_norm","(","x",",","2.0",")",">",">",">","print","(","y",")","{","a",":","ivy.array","(","[","0.",",","0.894",",","1.79","]",")",",","b",":","ivy.array","(","[","0.849",",","1.13",",","1.41","]",")","}"]
code: def _static_clip_vector_norm(
      x: Union[ivy.Container, ivy.Array, ivy.NativeArray],
      max_norm: Union[float, ivy.Container],
      /,
      *,
      p: Union[float, ivy.Container] = 2.0,
      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 instance method variant of ivy.clip_vector_norm. This
      method simply wraps the function, and so the docstring for
      ivy.clip_vector_norm also applies to this method with minimal changes.
  
      Parameters
      ----------
      x
          input array
      max_norm
          float, the maximum value of the array norm.
      p
          optional float, the p-value for computing the p-norm.
          Default is 2.
      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 array, for writing the result to. It must
          have a shape that the inputs broadcast to.
  
      Returns
      -------
      ret
          An array with the vector norm downscaled to the max norm if needed.
  
      Examples
      --------
      With :class:`ivy.Container` instance method:
  
      >>> x = ivy.Container(a=ivy.array([0., 1., 2.]),b=ivy.array([3., 4., 5.]))
      >>> y = ivy.Container.static_clip_vector_norm(x, 2.0)
      >>> print(y)
      {
          a: ivy.array([0., 0.894, 1.79]),
          b: ivy.array([0.849, 1.13, 1.41])
      }
      """
      return ContainerBase.cont_multi_map_in_function(
          "clip_vector_norm",
          x,
          max_norm,
          p=p,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
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 7 for calling the _ContainerWithGeneral obj's underlying member method code with example usage: obj._static_clip_vector_norm() and returns: ContainerBase