Refactor MCMC moves and update move set class

chiron/mcmc.py

@@ -38,15 +38,14 @@
 
 """
 from chiron.states import SamplerState, ThermodynamicState
-from chiron.potential import NeuralNetworkPotential
 from openmm import unit
 from loguru import logger as log
-from typing import Dict, Union, Tuple, List, Optional
+from typing import Tuple, List, Optional
 import jax.numpy as jnp
 from chiron.reporters import SimulationReporter
 
 
-class StateUpdateMove:
+class MCMCMove:
     def __init__(self, nr_of_moves: int, seed: int):
         """
         Initialize a move within the molecular system.
@@ -64,7 +63,7 @@ def __init__(self, nr_of_moves: int, seed: int):
         self.key = jrandom.PRNGKey(seed)  # 'seed' is an integer seed value
 
 
-class LangevinDynamicsMove(StateUpdateMove):
+class LangevinDynamicsMove(MCMCMove):
     def __init__(
         self,
         stepsize=1.0 * unit.femtoseconds,
@@ -110,6 +109,13 @@ def run(
             state_variables (StateVariablesCollection): State variables of the system.
         """
 
+        assert isinstance(
+            sampler_state, SamplerState
+        ), f"Sampler state must be SamplerState, not {type(sampler_state)}"
+        assert isinstance(
+            thermodynamic_state, ThermodynamicState
+        ), f"Thermodynamic state must be ThermodynamicState, not {type(thermodynamic_state)}"
+
         self.integrator.run(
             thermodynamic_state=thermodynamic_state,
             sampler_state=sampler_state,
@@ -118,7 +124,7 @@ def run(
         )
 
 
-class MCMove(StateUpdateMove):
+class MCMove(MCMCMove):
     def __init__(self, nr_of_moves: int, seed: int) -> None:
         super().__init__(nr_of_moves, seed)
 
@@ -247,7 +253,7 @@ class MoveSet:
 
     def __init__(
         self,
-        move_schedule: List[Tuple[str, StateUpdateMove]],
+        move_schedule: List[Tuple[str, MCMCMove]],
     ) -> None:
         _AVAILABLE_MOVES = ["LangevinDynamicsMove"]
         self.move_schedule = move_schedule
@@ -264,7 +270,7 @@ def _validate_sequence(self):
             If a move in the sequence is not present in available_moves.
         """
         for move_name, move_class in self.move_schedule:
-            if not isinstance(move_class, StateUpdateMove):
+            if not isinstance(move_class, MCMCMove):
                 raise ValueError(f"Move {move_name} in the sequence is not available.")