class_docstr: Class for skew-symmetric matrices.
  
  Parameters
  ----------
  n : int
      Number of rows and columns.
class_docstr_tok: ["Class","for","skew-symmetric","matrices",".","Parameters","--","--","--","--","--","n",":","int","Number","of","rows","and","columns","."]
docstr: Evaluate if point is a skew-symmetric matrix.
  
  Parameters
  ----------
  point : array-like, shape=[..., n, n]
      Square matrix to check.
  atol : float
      Tolerance for the equality evaluation.
      Optional, default: backend atol.
  
  Returns
  -------
  belongs : array-like, shape=[...,]
      Boolean evaluating if matrix is skew symmetric.
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code: def belongs(self, point, atol=gs.atol):
      """Evaluate if point is a skew-symmetric matrix.
  
      Parameters
      ----------
      point : array-like, shape=[..., n, n]
          Square matrix to check.
      atol : float
          Tolerance for the equality evaluation.
          Optional, default: backend atol.
  
      Returns
      -------
      belongs : array-like, shape=[...,]
          Boolean evaluating if matrix is skew symmetric.
      """
      has_right_shape = self.embedding_space.belongs(point)
      if gs.all(has_right_shape):
          return Matrices.is_skew_symmetric(mat=point, atol=atol)
      return has_right_shape
  
file_path: geomstats/geomstats/geometry/skew_symmetric_matrices.py
imports: import geomstats.backend
  from geomstats.geometry.lie_algebra import MatrixLieAlgebra
  from geomstats.geometry.matrices import Matrices, MatricesMetric
label_desc: Use image node_id 4 for calling the SkewSymmetricMatrices obj's underlying member method code with example usage: obj.belongs(point, atol) and returns: has_right_shape, Matrices