class_docstr: Class for the complex Poincaré metric.
class_docstr_tok: ["Class","for","the","complex","Poincar\u00e9","metric","."]
docstr: Compute the complex Poincaré disk distance.
  
  Compute the Riemannian distance between point_a and point_b.
  
  Parameters
  ----------
  point_a : array-like, shape=[..., 1]
      Point.
  point_b : array-like, shape=[..., 1]
      Point.
  atol : float
      Tolerance.
      Optional, default: backend atol.
  
  Returns
  -------
  dist : array-like, shape=[...]
      Riemannian distance.
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code: def dist(self, point_a, point_b, atol=gs.atol):
      """Compute the complex Poincaré disk distance.
  
      Compute the Riemannian distance between point_a and point_b.
  
      Parameters
      ----------
      point_a : array-like, shape=[..., 1]
          Point.
      point_b : array-like, shape=[..., 1]
          Point.
      atol : float
          Tolerance.
          Optional, default: backend atol.
  
      Returns
      -------
      dist : array-like, shape=[...]
          Riemannian distance.
      """
      return self._tau(point_a, point_b, atol=atol)
  
file_path: geomstats/geomstats/geometry/complex_poincare_disk.py
imports: import geomstats.backend
  from geomstats.geometry.base import ComplexVectorSpaceOpenSet
  from geomstats.geometry.complex_riemannian_metric import ComplexRiemannianMetric
  from geomstats.geometry.hermitian import Hermitian
label_desc: Use image node_id 6 for calling the ComplexPoincareDiskMetric obj's underlying member method code with example usage: obj.dist(point_a, point_b, atol) and returns: self