code: def img_as_float32(image, force_copy=False):
      """Convert an image to single-precision (32-bit) floating point format.
      Parameters
      ----------
      image : ndarray
          Input image.
      force_copy : bool, optional
          Force a copy of the data, irrespective of its current dtype.
      Returns
      -------
      out : ndarray of float32
          Output image.
      Notes
      -----
      The range of a floating point image is [0.0, 1.0] or [-1.0, 1.0] when
      converting from unsigned or signed datatypes, respectively.
      If the input image has a float type, intensity values are not modified
      and can be outside the ranges [0.0, 1.0] or [-1.0, 1.0].
      """
      return convert(image, np.float32, force_copy)
  
imports: import numpy
  from scipy import linalg
  from warnings import warn
label_desc: Use image node_id 17 for calling a global function with example usage: img_as_float32(image, force_copy) and returns: convert