77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
"""Utility functions.
|
|
"""
|
|
import contextlib
|
|
import multiprocessing
|
|
import sys
|
|
|
|
from milc import cli
|
|
|
|
maybe_exit_should_exit = True
|
|
maybe_exit_reraise = False
|
|
|
|
|
|
# Controls whether or not early `exit()` calls should be made
|
|
def maybe_exit(rc):
|
|
if maybe_exit_should_exit:
|
|
sys.exit(rc)
|
|
if maybe_exit_reraise:
|
|
e = sys.exception()
|
|
if e:
|
|
raise e
|
|
|
|
|
|
def maybe_exit_config(should_exit: bool = True, should_reraise: bool = False):
|
|
global maybe_exit_should_exit
|
|
global maybe_exit_reraise
|
|
maybe_exit_should_exit = should_exit
|
|
maybe_exit_reraise = should_reraise
|
|
|
|
|
|
@contextlib.contextmanager
|
|
def parallelize():
|
|
"""Returns a function that can be used in place of a map() call.
|
|
|
|
Attempts to use `mpire`, falling back to `multiprocessing` if it's not
|
|
available. If parallelization is not requested, returns the original map()
|
|
function.
|
|
"""
|
|
|
|
# Work out if we've already got a config value for parallel searching
|
|
if cli.config.user.parallel_search is None:
|
|
parallel_search = True
|
|
else:
|
|
parallel_search = cli.config.user.parallel_search
|
|
|
|
# Non-parallel searches use `map()`
|
|
if not parallel_search:
|
|
yield map
|
|
return
|
|
|
|
# Prefer mpire's `WorkerPool` if it's available
|
|
with contextlib.suppress(ImportError):
|
|
from mpire import WorkerPool
|
|
from mpire.utils import make_single_arguments
|
|
with WorkerPool() as pool:
|
|
|
|
def _worker(func, *args):
|
|
# Ensure we don't unpack tuples -- mpire's `WorkerPool` tries to do so normally so we tell it not to.
|
|
for r in pool.imap_unordered(func, make_single_arguments(*args, generator=False), progress_bar=True):
|
|
yield r
|
|
|
|
yield _worker
|
|
return
|
|
|
|
# Otherwise fall back to multiprocessing's `Pool`
|
|
with multiprocessing.Pool() as pool:
|
|
yield pool.imap_unordered
|
|
|
|
|
|
def parallel_map(*args, **kwargs):
|
|
"""Effectively runs `map()` but executes it in parallel if necessary.
|
|
"""
|
|
with parallelize() as map_fn:
|
|
# This needs to be enclosed in a `list()` as some implementations return
|
|
# a generator function, which means the scope of the pool is closed off
|
|
# before the results are returned. Returning a list ensures results are
|
|
# materialised before any worker pool is shut down.
|
|
return list(map_fn(*args, **kwargs))
|