parameters: (self, order=None, out=None)
return_statement: return self.tocoo(copy=False).toarray(order=order, out=out)
docstring: Return a dense ndarray representation of this matrix.
  
          Parameters
          ----------
          order : {'C', 'F'}, optional
              Whether to store multi-dimensional data in C (row-major)
              or Fortran (column-major) order in memory. The default
              is 'None', indicating the NumPy default of C-ordered.
              Cannot be specified in conjunction with the `out`
              argument.
  
          out : ndarray, 2-dimensional, optional
              If specified, uses this array as the output buffer
              instead of allocating a new array to return. The provided
              array must have the same shape and dtype as the sparse
              matrix on which you are calling the method. For most
              sparse types, `out` is required to be memory contiguous
              (either C or Fortran ordered).
  
          Returns
          -------
          arr : ndarray, 2-dimensional
              An array with the same shape and containing the same
              data represented by the sparse matrix, with the requested
              memory order. If `out` was passed, the same object is
              returned after being modified in-place to contain the
              appropriate values.
docstring_summary: Return a dense ndarray representation of this matrix.
docstring_tokens: Return a dense ndarray representation of this matrix .
function: def toarray(self, order=None, out=None):
          """
          Return a dense ndarray representation of this matrix.
  
          Parameters
          ----------
          order : {'C', 'F'}, optional
              Whether to store multi-dimensional data in C (row-major)
              or Fortran (column-major) order in memory. The default
              is 'None', indicating the NumPy default of C-ordered.
              Cannot be specified in conjunction with the `out`
              argument.
  
          out : ndarray, 2-dimensional, optional
              If specified, uses this array as the output buffer
              instead of allocating a new array to return. The provided
              array must have the same shape and dtype as the sparse
              matrix on which you are calling the method. For most
              sparse types, `out` is required to be memory contiguous
              (either C or Fortran ordered).
  
          Returns
          -------
          arr : ndarray, 2-dimensional
              An array with the same shape and containing the same
              data represented by the sparse matrix, with the requested
              memory order. If `out` was passed, the same object is
              returned after being modified in-place to contain the
              appropriate values.
          """
          return self.tocoo(copy=False).toarray(order=order, out=out)
function_tokens: def toarray ( self , order = None , out = None ) : return self . tocoo ( copy = False ) . toarray ( order = order , out = out )