IntEnumValue is an implementation of a multiprocessing safe shared object
for IntEnum enum values.
The IntEnumValue appears and can be used much like an IntEnum, while
internally, it uses a multiprocessing.Value shared ctypes integer object
to store the integer value of the enum in a multiprocessing safe way.
It is fully typed and implemented as a generic class, thus allowing to guard
against programming errors where values other than the designated
specific IntEnum type are being assigned.
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- Install required packages, e.g. on Debian GNU/Linux:
apt-get install git python3
-
Install uv from https://github.com/astral-sh/uv/releases
-
Setup and activate Python virtual environment:
uv venv --prompt='mp-intenum' . .venv/bin/activate -
Install Python requirements in the virtual environment::
uv sync --locked -
Build:
make dist
- Run code quality checks:
make lint
- Run test suite:
make test
To illustrate the usage, an example of a multithreaded worker is used, which has an internal state represented as an enum that should be tracked across its threads.
To use a multiprocessing safe IntEnum, first define the actual underlying
IntEnum type:
class WorkerStatusEnum(IntEnum):
UNAVAILABLE = enum.auto()
IDLE = enum.auto()
CALCULATING = enum.auto()
IntEnumValue is a generic class, accepting a type parameter for the type
of the underlying IntEnum.
Thus define the corresponding IntEnumValue type for that IntEnum like
this:
class WorkerStatus(IntEnumValue[WorkerStatusEnum]):
pass
Now this WorkerStatus type can be used like an enum to track the state:
>>> status = WorkerStatus(WorkerStatusEnum.IDLE)
>>> status.name
'IDLE'
>>> status.value
2
>>> with status.get_lock():
... status.set(WorkerStatusEnum.CALCULATING)
>>> status.name
'CALCULATING'
>>> status.value
3
It can, of course, also be wrapped in a dedicated class, which the remaining examples will further expand on:
class WorkerState:
def __init__(self) -> None:
self.status = WorkerStatus(WorkerStatusEnum.IDLE)
When using multiple multiprocessing.Value instances (including
IntEnumValue ones) that should share a lock to allow ensuring that they
can only be changed in a consistent state, pass that shared lock as a
keyword argument on instantiation:
class WorkerState:
def __init__(self) -> None:
self.lock = multiprocessing.RLock()
self.status = WorkerStatus(WorkerStatusEnum.IDLE, lock=self.lock)
self.job_id = multiprocessing.Value("i", -1, lock=self.lock)
def get_lock(self) -> Lock | RLock:
return self.lock
To avoid having to call the set() method to assign a value to the
IntEnumValue attribute, it is suggested to keep the actual
attribute private to the class and implement getter and setter methods for a
public property that hides this implementation detail, e.g. as follows:
class WorkerState:
def __init__(self) -> None:
self._status = WorkerStatus(WorkerStatusEnum.IDLE)
@property
def status(self) -> WorkerStatusEnum:
return self._status # type: ignore[return-value]
@status.setter
def status(self, status: WorkerStatusEnum | str) -> None:
self._status.set(status)
This can be used in a more elegant manner by simply assigning to the status attribute:
>>> state = WorkerState()
>>> state.status.name
'IDLE'
>>> with state.get_lock():
... state.status = WorkerStatusEnum.CALCULATING
>>> state.status.name
'CALCULATING'
The specific IntEnumValue type can override methods to add further
functionality.
A common example is overriding the set() method to add logging:
class WorkerStatus(IntEnumValue[WorkerStatusEnum]):
def set(self, value: WorkerStatusEnum | str) -> None:
super().set(value)
logger.info(f"WorkerStatus set to '{self.name}'")