              logger.trace("Yielding: %s", retval)
              yield retval
  
  
  def encode_image_with_hash(image, extension):
      """ Encode an image, and get the encoded image back with its `sha1` hash.
  
      Parameters
      ----------
      image: numpy.ndarray
          The image to be encoded in `BGR` channel order.
 
</s> remove     image_hash: str
        The :func:`hashlib.hexdigest()` representation of the `sha1` hash of the encoded image
 </s> add  </s> remove         for future in futures.as_completed(read_hashes):
            retval = (read_hashes[future],
                      *future.result()) if output_shape else (read_hashes[future], future.result())
 </s> add         for future in futures.as_completed(read_meta):
            retval = (read_meta[future], future.result()) </s> remove         If :attr:`with_hash` is ``False`` then returns a `numpy.ndarray` of the image in `BGR`
        channel order. If :attr:`with_hash` is ``True`` then returns a `tuple` of (`numpy.ndarray`"
        of the image in `BGR`, `str` of sha` hash of image)
 </s> add         If :attr:`with_metadata` is ``False`` then returns a `numpy.ndarray` of the image in `BGR`
        channel order. If :attr:`with_metadata` is ``True`` then returns a `tuple` of
        (`numpy.ndarray`" of the image in `BGR`, `dict` of face's Faceswap metadata) </s> remove     """ Sort alignments' index by the order they appear in an image """
 </s> add     """ Sort alignments' index by the order they appear in an image in left to right order.

    Parameters
    ----------
    alignments: :class:`tools.lib_alignments.media.AlignmentData`
        The alignments data loaded from an alignments file for this rename job
    arguments: :class:`argparse.Namespace`
        The :mod:`argparse` arguments as passed in from :mod:`tools.py`
    """
def encode_image(image, extension, metadata=None):
    """ Encode an image.
              logger.trace("Yielding: %s", retval)
              yield retval
  
  
def encode_image(image, extension, metadata=None):
    """ Encode an image.
def encode_image(image, extension, metadata=None):
    """ Encode an image.
  
      Parameters
      ----------
      image: numpy.ndarray
          The image to be encoded in `BGR` channel order.
keep keep keep keep replace replace keep keep keep keep keep
 Update extracted faces to use PNG EXIF data (#1123)

Documentation
  - Update Usage.md, align.rst and image.rst
lib.image.py
  - read_image - Remove hash return, add metadata return
  - Remove read_image_hash functions
  - Add read_image_meta functios
  - Replace encode_image_with_hash with encode_image (to store metadata)
  - Add png meta reading and writing functions
  - Update Image Loaders/Savers to handle metadata rather than hashes
lib.training_data
  - Naming updates to remove references to hashes
lib.align.Alignments
  - Add versioning notes
  - Increment alignments version to 2.1
  - Deprecate hashing lookup functions
  - Replace filter_hashes with filter_faces
lib.align.detected_face
  - DetectedFace
    - Remove hash property
    - Add png header data serializing/deserializing functions
  - Mask
    - Add png header data serializing/deserializing functions
  - add update_legacy_png_header function to update png meta data
lib.cli.args - Deprecate alignments files for training
- plugins.train.trainer
  - Update alignments/mask code to read png header data
- scripts.convert
  - Aligned images folder - read data from png headers
- scripts.extract
  - Write png header information and no longer store hash of face
- tools.alignments
  - remove leftover-faces, merge and update-hashes jobs
  - Update jobs to use png meta data rather than hashes
- tools.manual
  - Update extract code to output png meta data and don't store hashes
  - Perform check on launch that tool is not pointing at a faces folder
tools.mask
  - Update to use png meta data
tools.sort
  - Update to use png meta data 
lib/image.py