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-rw-r--r--lib/python/qmk/util.py56
1 files changed, 56 insertions, 0 deletions
diff --git a/lib/python/qmk/util.py b/lib/python/qmk/util.py
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+"""Utility functions.
+"""
+import contextlib
+import multiprocessing
+
+from milc import cli
+
+
+@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))