Easy to implement Finite State Machines.
easy_fsm provides a very simple API to build finite state machines.
The state machine holds a context that is passed to the different states.
Each state returns either the next state to execute or None if the execution is done.
This allows you to implement business logic in small, well separated, chunks of code.
from typing import Optional
from easy_fsm import StateMachine, State
from dataclasses import dataclass, field
@dataclass
class Stats:
altitude: int = 0
fly_time: int = 0
suite: list[int] = field(default_factory=list)
class ComputeSyracuse(State[Stats]):
def __init__(self, n: int):
self.n = n
def run(self, context: Stats) -> Optional[State[Stats]]:
context.altitude = max(context.altitude, self.n)
context.fly_time += 1
context.suite.append(self.n)
if self.n == 1:
return None
elif self.n % 2 == 0:
return ComputeSyracuse(self.n // 2)
else:
return ComputeSyracuse(3 * self.n + 1)
class Syracuse(StateMachine[Stats]):
def __init__(self):
super().__init__(Stats())
def compute(self, n: int) -> None:
self.run_from(ComputeSyracuse(n))
def test_fsm():
fsm = Syracuse()
fsm.compute(5)
assert fsm.context.altitude == 16
assert fsm.context.fly_time == 6
assert fsm.context.suite == [5, 16, 8, 4, 2, 1]This project is released under the terms of the MIT License.