class_docstr: Class that defines operations using a Poincare ball.
class_docstr_tok: ["Class","that","defines","operations","using","a","Poincare","ball","."]
docstr: Compute factor used in normalization factor.
  
  Compute alpha factor given the two arguments.
  
  Parameters
  ----------
  current_dim : array-like, shape=[dim,]
      Array initialized at 0 with max range dim and step 1.
docstr_tok: ["Compute","factor","used","in","normalization","factor",".","Compute","alpha","factor","given","the","two","arguments",".","Parameters","--","--","--","--","--","current_dim",":","array-like",",","shape=","[","dim",",","]","Array","initialized","at","0","with","max","range","dim","and","step","1","."]
code: def _compute_alpha(self, current_dim):
      """Compute factor used in normalization factor.
  
      Compute alpha factor given the two arguments.
  
      Parameters
      ----------
      current_dim : array-like, shape=[dim,]
          Array initialized at 0 with max range dim and step 1.
      """
      return (self._space.dim - 1 - 2 * current_dim) / SQRT_2
  
imports: import math
  import geomstats.algebra_utils
  import geomstats.backend
  from geomstats.geometry._hyperbolic import _Hyperbolic
  from geomstats.geometry.base import VectorSpaceOpenSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 9 for calling the PoincareBallMetric obj's underlying member method code with example usage: obj._compute_alpha(current_dim) and returns: unknown