docstr: ivy.Container instance method variant of ivy.sinc. This method
  simply wraps the function, and so the docstring for ivy.sinc also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      input container whose elements are each expressed in radians.
      Should have a floating-point data type.
  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. It must have a shape
      that the inputs broadcast to.
  
  Returns
  -------
  ret
      a container containing the sinc of each element in ``self``.
      The returned container must have a floating-point data type
      determined by :ref:`type-promotion`.
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.array([0.5, 1.5, 2.5]),
  ...                   b=ivy.array([3.5, 4.5, 5.5]))
  >>> y = x.sinc()
  >>> print(y)
  {
      a: ivy.array([0.637,-0.212,0.127]),
      b: ivy.array([-0.0909,0.0707,-0.0579])
  }
code: def sinc(
      self: 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 instance method variant of ivy.sinc. This method
      simply wraps the function, and so the docstring for ivy.sinc also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          input container whose elements are each expressed in radians.
          Should have a floating-point data type.
      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. It must have a shape
          that the inputs broadcast to.
  
      Returns
      -------
      ret
          a container containing the sinc of each element in ``self``.
          The returned container must have a floating-point data type
          determined by :ref:`type-promotion`.
  
      Examples
      --------
      >>> x = ivy.Container(a=ivy.array([0.5, 1.5, 2.5]),
      ...                   b=ivy.array([3.5, 4.5, 5.5]))
      >>> y = x.sinc()
      >>> print(y)
      {
          a: ivy.array([0.637,-0.212,0.127]),
          b: ivy.array([-0.0909,0.0707,-0.0579])
      }
      """
      return self.static_sinc(
          self,
          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 6 for calling the _ContainerWithElementWiseExperimental obj's underlying member method code with example usage: obj.sinc() and returns: self