def to_scipy_sparse(m, **options):
 dtype = options.get('dtype', 'complex')
 if isinstance(m, (Matrix, Expr)):
  return sympy_to_scipy_sparse(m, dtype=dtype)
 elif isinstance(m, numpy_ndarray):
  if (not sparse):
   raise ImportError
  return sparse.csr_matrix(m)
 elif isinstance(m, scipy_sparse_matrix):
  return m
 raise TypeError(('Expected sympy/numpy/scipy.sparse matrix, got: %r' % m))

def to_scipy_sparse ( m , ** options ) : dtype = options . get ( 'dtype' , 'complex' ) if isinstance ( m , ( Matrix , Expr ) ) : return sympy_to_scipy_sparse ( m , dtype = dtype ) elif isinstance ( m , numpy_ndarray ) : if ( not sparse ) : raise ImportError return sparse . csr_matrix ( m ) elif isinstance ( m , scipy_sparse_matrix ) : return m raise TypeError ( ( 'Expected sympy/numpy/scipy.sparse matrix, got: %r' % m ) )
convert a sympy/numpy matrix to a scipy .