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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code: def __init__(
      self,
      faces,
      equip=True,
  ):
      ambient_dim = 3
      self.ambient_manifold = Euclidean(dim=ambient_dim)
      self.faces = faces
      self.n_faces = len(faces)
      self.n_vertices = int(gs.amax(self.faces) + 1)
      self.shape = (self.n_vertices, ambient_dim)
      super().__init__(
          dim=self.n_vertices * ambient_dim,
          shape=(self.n_vertices, 3),
          equip=equip,
      )
  
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 1 to create a new DiscreteSurfaces object from inherited base classes: Manifold with example: obj = DiscreteSurfaces(faces, equip)