class_docstr: Space of parameterized discrete surfaces.
  
  Each surface is sampled with fixed `n_vertices` vertices and `n_faces`
  faces in :math:`\mathbb{R}^3`.
  
  Each individual surface is represented by a 2d-array of shape
  `[n_vertices, 3]`. This space corresponds to the space of immersions
  defined below, i.e. the
  space of smooth functions from a template to manifold :math:`M`
  into :math:`\mathbb{R}^3`, with non-vanishing Jacobian.
  
  .. math::
      Imm(M,\mathbb{R}^3)=\{ f \in C^{\infty}(M, \mathbb{R}^3)
      \|Df(x)\|\neq 0 \forall x \in M \}.
  
  Parameters
  ----------
  faces : integer array-like, shape=[n_faces, 3]
      Triangulation of the surface.
      Each face is given by 3 indices that indicate its vertices.
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docstr: Compute the surface metric matrices.
  
  The matrices are evaluated at the faces of a triangulated surface.
  
  The surface metric is the pullback metric of the immersion q
  defining the surface, i.e. of
  the map q: M -> R3, where M is the parameterization manifold.
  
  Parameters
  ----------
  point : array like, shape=[n_vertices, 3]
      Surface, as the 3D coordinates of the vertices of its triangulation.
  
  Returns
  -------
  metric_mats : array-like, shape=[n_faces, 2, 2]
      Surface metric matrices evaluated at each face of
      the triangulated surface.
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code: def surface_metric_matrices(self, point):
      """Compute the surface metric matrices.
  
      The matrices are evaluated at the faces of a triangulated surface.
  
      The surface metric is the pullback metric of the immersion q
      defining the surface, i.e. of
      the map q: M -> R3, where M is the parameterization manifold.
  
      Parameters
      ----------
      point : array like, shape=[n_vertices, 3]
          Surface, as the 3D coordinates of the vertices of its triangulation.
  
      Returns
      -------
      metric_mats : array-like, shape=[n_faces, 2, 2]
          Surface metric matrices evaluated at each face of
          the triangulated surface.
      """
      one_forms = self.surface_one_forms(point)
  
      return self._surface_metric_matrices_from_one_forms(one_forms)
  
imports: import math
  import geomstats.backend
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.manifold import Manifold
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.numerics.optimizers import ScipyMinimize
label_desc: Use image node_id 15 for calling the DiscreteSurfaces obj's underlying member method code with example usage: obj.surface_metric_matrices(point) and returns: self