docstr: ivy.Container instance method variant of ivy.float_power. This
  method simply wraps the function, and so the docstring for
  ivy.float_power also applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      container with the base input arrays.
  x2
      container with the exponent input arrays
  out
      optional output container, for writing the result to.
  
  Returns
  -------
  ret
      Container including arrays with base arrays raised to the powers
      of exponents arrays, element-wise .
  
  Examples
  --------
  >>> x1 = ivy.Container(a=ivy.array([1, 2, 3]),                               b=ivy.array([2, 10]))
  >>> x2 = ivy.Container(a=ivy.array([1, 3, 1]), b=0)
  >>> x1.float_power(x2)
  {
      a: ivy.array([1,  8,  3])
      b: ivy.array([1, 1])
  }
code: def float_power(
      self: ivy.Container,
      x2: ivy.Container,
      /,
      *,
      out: Optional[ivy.Container] = None,
  ) -> ivy.Container:
      """ivy.Container instance method variant of ivy.float_power. This
          method simply wraps the function, and so the docstring for
          ivy.float_power also applies to this method with minimal changes.
  
          Parameters
          ----------
          self
              container with the base input arrays.
          x2
              container with the exponent input arrays
          out
              optional output container, for writing the result to.
  
          Returns
          -------
          ret
              Container including arrays with base arrays raised to the powers
              of exponents arrays, element-wise .
  
          Examples
          --------
          >>> x1 = ivy.Container(a=ivy.array([1, 2, 3]),\
                                 b=ivy.array([2, 10]))
          >>> x2 = ivy.Container(a=ivy.array([1, 3, 1]), b=0)
          >>> x1.float_power(x2)
          {
              a: ivy.array([1,  8,  3])
              b: ivy.array([1, 1])
          }
          """
      return self.static_float_power(self, x2, 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 12 for calling the _ContainerWithElementWiseExperimental obj's underlying member method code with example usage: obj.float_power() and returns: self