import _pybinding
from scipy.sparse import csr_matrix as _csrmatrix


class Model(_pybinding.Model):
    def __init__(self, *params):
        super().__init__()
        self.add(*params)

    def add(self, *params):
        for param in params:
            if param is None:
                continue

            if isinstance(param, (tuple, list)):
                self.add(*param)
            else:
                super().add(param)

    def calculate(self, result):
        self._calculate(result)
        return result

    @property
    def system(self):
        from .system import System as SystemEx
        sys = super().system
        sys.__class__ = SystemEx
        sys.shape = self.shape
        sys.lattice = self.lattice
        return sys

    @property
    def _hamiltonian(self):
        from .hamiltonian import Hamiltonian as HamiltonianEx
        ham = super().hamiltonian
        ham.__class__ = HamiltonianEx
        return ham

    @property
    def hamiltonian(self) -> _csrmatrix:
        from .hamiltonian import Hamiltonian as HamiltonianEx
        ham = super().hamiltonian
        ham.__class__ = HamiltonianEx
        return ham.matrix.to_scipy_csr()

    @property
    def solver(self):
        from .solver.solver_ex import SolverEx
        sol = super().solver
        sol.__class__ = SolverEx
        sol.system = self.system
        return sol

import _pybinding
from scipy.sparse import csr_matrix as _csrmatrix
from .system import System as _System
from .hamiltonian import Hamiltonian as _Hamiltonian
from .solver.solver_ex import SolverEx as _Solver


class Model(_pybinding.Model):
    def __init__(self, *params):
        super().__init__()
        self.add(*params)

    def add(self, *params):
        for param in params:
            if param is None:
                continue

            if isinstance(param, (tuple, list)):
                self.add(*param)
            else:
                super().add(param)

    def calculate(self, result):
        self._calculate(result)
        return result

    @property
    def system(self) -> _System:
        sys = super().system
        sys.__class__ = _System
        sys.shape = self.shape
        sys.lattice = self.lattice
        return sys

    @property
    def _hamiltonian(self) -> _Hamiltonian:
        ham = super().hamiltonian
        ham.__class__ = _Hamiltonian
        return ham

    @property
    def hamiltonian(self) -> _csrmatrix:
        ham = super().hamiltonian
        ham.__class__ = _Hamiltonian
        return ham.matrix.to_scipy_csr()

    @property
    def solver(self) -> _Solver:
        sol = super().solver
        sol.__class__ = _Solver
        sol.system = self.system
        return sol

Annotate return types of Model properties
Annotate return types of Model properties

  import _pybinding
  from scipy.sparse import csr_matrix as _csrmatrix
+ from .system import System as _System
+ from .hamiltonian import Hamiltonian as _Hamiltonian
+ from .solver.solver_ex import SolverEx as _Solver
  
  
  class Model(_pybinding.Model):
      def __init__(self, *params):
          super().__init__()
          self.add(*params)
  
      def add(self, *params):
          for param in params:
              if param is None:
                  continue
  
              if isinstance(param, (tuple, list)):
                  self.add(*param)
              else:
                  super().add(param)
  
      def calculate(self, result):
          self._calculate(result)
          return result
  
      @property
-     def system(self):
+     def system(self) -> _System:
-         from .system import System as SystemEx
          sys = super().system
-         sys.__class__ = SystemEx
+         sys.__class__ = _System
          sys.shape = self.shape
          sys.lattice = self.lattice
          return sys
  
      @property
-     def _hamiltonian(self):
+     def _hamiltonian(self) -> _Hamiltonian:
-         from .hamiltonian import Hamiltonian as HamiltonianEx
          ham = super().hamiltonian
-         ham.__class__ = HamiltonianEx
+         ham.__class__ = _Hamiltonian
          return ham
  
      @property
      def hamiltonian(self) -> _csrmatrix:
-         from .hamiltonian import Hamiltonian as HamiltonianEx
          ham = super().hamiltonian
-         ham.__class__ = HamiltonianEx
+         ham.__class__ = _Hamiltonian
          return ham.matrix.to_scipy_csr()
  
      @property
-     def solver(self):
+     def solver(self) -> _Solver:
-         from .solver.solver_ex import SolverEx
          sol = super().solver
-         sol.__class__ = SolverEx
+         sol.__class__ = _Solver
          sol.system = self.system
          return sol
  
Annotate return types of Model properties
## Code Before:
import _pybinding
from scipy.sparse import csr_matrix as _csrmatrix


class Model(_pybinding.Model):
    def __init__(self, *params):
        super().__init__()
        self.add(*params)

    def add(self, *params):
        for param in params:
            if param is None:
                continue

            if isinstance(param, (tuple, list)):
                self.add(*param)
            else:
                super().add(param)

    def calculate(self, result):
        self._calculate(result)
        return result

    @property
    def system(self):
        from .system import System as SystemEx
        sys = super().system
        sys.__class__ = SystemEx
        sys.shape = self.shape
        sys.lattice = self.lattice
        return sys

    @property
    def _hamiltonian(self):
        from .hamiltonian import Hamiltonian as HamiltonianEx
        ham = super().hamiltonian
        ham.__class__ = HamiltonianEx
        return ham

    @property
    def hamiltonian(self) -> _csrmatrix:
        from .hamiltonian import Hamiltonian as HamiltonianEx
        ham = super().hamiltonian
        ham.__class__ = HamiltonianEx
        return ham.matrix.to_scipy_csr()

    @property
    def solver(self):
        from .solver.solver_ex import SolverEx
        sol = super().solver
        sol.__class__ = SolverEx
        sol.system = self.system
        return sol

## Instruction:
Annotate return types of Model properties
## Code After:
import _pybinding
from scipy.sparse import csr_matrix as _csrmatrix
from .system import System as _System
from .hamiltonian import Hamiltonian as _Hamiltonian
from .solver.solver_ex import SolverEx as _Solver


class Model(_pybinding.Model):
    def __init__(self, *params):
        super().__init__()
        self.add(*params)

    def add(self, *params):
        for param in params:
            if param is None:
                continue

            if isinstance(param, (tuple, list)):
                self.add(*param)
            else:
                super().add(param)

    def calculate(self, result):
        self._calculate(result)
        return result

    @property
    def system(self) -> _System:
        sys = super().system
        sys.__class__ = _System
        sys.shape = self.shape
        sys.lattice = self.lattice
        return sys

    @property
    def _hamiltonian(self) -> _Hamiltonian:
        ham = super().hamiltonian
        ham.__class__ = _Hamiltonian
        return ham

    @property
    def hamiltonian(self) -> _csrmatrix:
        ham = super().hamiltonian
        ham.__class__ = _Hamiltonian
        return ham.matrix.to_scipy_csr()

    @property
    def solver(self) -> _Solver:
        sol = super().solver
        sol.__class__ = _Solver
        sol.system = self.system
        return sol
