docstr: Diffeomorphic Registration
  
  This abstract class defines the interface to be implemented by any
  optimization algorithm for diffeomorphic registration.
  
  Parameters
  ----------
  metric : SimilarityMetric object
      the object measuring the similarity of the two images. The
      registration algorithm will minimize (or maximize) the provided
      similarity.
code: def __init__(self, metric=None):
      """Diffeomorphic Registration
  
      This abstract class defines the interface to be implemented by any
      optimization algorithm for diffeomorphic registration.
  
      Parameters
      ----------
      metric : SimilarityMetric object
          the object measuring the similarity of the two images. The
          registration algorithm will minimize (or maximize) the provided
          similarity.
      """
      if metric is None:
          raise ValueError("The metric cannot be None")
      self.metric = metric
      self.dim = metric.dim
  
imports: import logging
  import abc
  import numpy
  import numpy.linalg
  import nibabel
  from nibabel.streamlines import ArraySequence
  from dipy.align import vector_fields
  from dipy.align import floating
  from dipy.align import VerbosityLevels
  from dipy.align import Bunch
  from dipy.align.scalespace import ScaleSpace
label_desc: Use image node_id 1 to create a new DiffeomorphicRegistration object  with example: obj = DiffeomorphicRegistration(metric)