def _new(cls, *args, **kwargs):
rows, cols, flat_list = MatrixBase._handle_creation_inputs(*args, **kwargs)
self = object.__new__(cls)
self.rows = rows
self.cols = cols
self._mat = list(flat_list) # create a shallow copy
return self
def _new(cls, *args, **kwargs):
if len(args) == 1 and isinstance(args[0], ImmutableMatrix):
return args[0]
rows, cols, flat_list = MatrixBase._handle_creation_inputs(
*args, **kwargs)
rows = Integer(rows)
cols = Integer(cols)
mat = Tuple(*flat_list)
return Basic.__new__(cls, rows, cols, mat)
def _new(cls, *args, **kwargs):
if len(args) == 1 and isinstance(args[0], ImmutableMatrix):
return args[0]
rows, cols, flat_list = MatrixBase._handle_creation_inputs(
*args, **kwargs)
rows = Integer(rows)
cols = Integer(cols)
mat = Tuple(*flat_list)
return Basic.__new__(cls, rows, cols, mat)
def __pow__(self, other):
return MatrixBase.__pow__(self, other)
def __truediv__(self, other):
return MatrixBase.__truediv__(self, _force_mutable(other))
def __rmul__(self, other):
return MatrixBase.__rmul__(self, _force_mutable(other))
def __pow__(self, other):
return MatrixBase.__pow__(self, other)
def __truediv__(self, other):
return MatrixBase.__truediv__(self, _force_mutable(other))
def __rmul__(self, other):
return MatrixBase.__rmul__(self, _force_mutable(other))
def numpy_to_sympy(m, **options):
"""Convert a numpy matrix to a SymPy matrix."""
return MatrixBase(m)
def scipy_sparse_to_sympy(m, **options):
"""Convert a scipy.sparse matrix to a SymPy matrix."""
return MatrixBase(m.todense())
