class_docstr: Class for the pseudo-Riemannian Minkowski metric.
  
  The metric is flat: the inner product is independent of the base point.
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docstr: Compute the Riemannian logarithm of `point` at `base_point`.
  
  The Riemannian logarithm is the subtraction in the Minkowski space.
  
  Parameters
  ----------
  point : array-like, shape=[..., dim]
      Point.
  base_point : array-like, shape=[..., dim]
      Base point.
  
  Returns
  -------
  log : array-like, shape=[..., dim]
      Riemannian logarithm.
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code: def log(self, point, base_point, **kwargs):
      """Compute the Riemannian logarithm of `point` at `base_point`.
  
      The Riemannian logarithm is the subtraction in the Minkowski space.
  
      Parameters
      ----------
      point : array-like, shape=[..., dim]
          Point.
      base_point : array-like, shape=[..., dim]
          Base point.
  
      Returns
      -------
      log : array-like, shape=[..., dim]
          Riemannian logarithm.
      """
      return point - base_point
  
file_path: geomstats/geomstats/geometry/minkowski.py
imports: import math
  import geomstats.backend
  from geomstats.algebra_utils import from_vector_to_diagonal_matrix
  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 5 for calling the MinkowskiMetric obj's underlying member method code with example usage: obj.log(point, base_point) and returns: unknown