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 exponential of `tangent_vec` at `base_point`.
  
  The Riemannian exponential is the addition in the Minkowski space.
  
  Parameters
  ----------
  tangent_vec : array-like, shape=[..., dim]
      Tangent vector at base point.
  base_point : array-like, shape=[..., dim]
      Base point.
  
  Returns
  -------
  exp : array-like, shape=[..., dim]
      Riemannian exponential.
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code: def exp(self, tangent_vec, base_point, **kwargs):
      """Compute the Riemannian exponential of `tangent_vec` at `base_point`.
  
      The Riemannian exponential is the addition in the Minkowski space.
  
      Parameters
      ----------
      tangent_vec : array-like, shape=[..., dim]
          Tangent vector at base point.
      base_point : array-like, shape=[..., dim]
          Base point.
  
      Returns
      -------
      exp : array-like, shape=[..., dim]
          Riemannian exponential.
      """
      return base_point + tangent_vec
  
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 4 for calling the MinkowskiMetric obj's underlying member method code with example usage: obj.exp(tangent_vec, base_point) and returns: unknown