class_docstr: Class for the n-dimensional hyperboloid space.
  
  Class for the n-dimensional hyperboloid space as embedded in (n+1)-dimensional
  Minkowski space as the set of points with squared norm equal to -1. For other
  representations of hyperbolic spaces see the `Hyperbolic` class.
  
  Parameters
  ----------
  dim : int
      Dimension of the hyperbolic space.
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docstr: Convert from intrinsic to extrinsic coordinates.
  
  Parameters
  ----------
  point_intrinsic : array-like, shape=[..., dim]
      Point in the embedded manifold in intrinsic coordinates.
  
  Returns
  -------
  point_extrinsic : array-like, shape=[..., dim + 1]
      Point in the embedded manifold in extrinsic coordinates.
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code: def intrinsic_to_extrinsic_coords(self, point_intrinsic):
      """Convert from intrinsic to extrinsic coordinates.
  
      Parameters
      ----------
      point_intrinsic : array-like, shape=[..., dim]
          Point in the embedded manifold in intrinsic coordinates.
  
      Returns
      -------
      point_extrinsic : array-like, shape=[..., dim + 1]
          Point in the embedded manifold in extrinsic coordinates.
      """
      return self.change_coordinates_system(
          point_intrinsic, "intrinsic", "extrinsic"
      )
  
imports: import math
  import geomstats.algebra_utils
  import geomstats.backend
  from geomstats.geometry._hyperbolic import HyperbolicMetric, _Hyperbolic
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.minkowski import Minkowski
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 9 for calling the Hyperboloid obj's underlying member method code with example usage: obj.intrinsic_to_extrinsic_coords(point_intrinsic) and returns: self