Commit b2d95f55 authored by Radek Hušek's avatar Radek Hušek Committed by Radek Hušek
Browse files add doc strings

parent 91f2d78d
......@@ -6,6 +6,7 @@ import multiprocessing
from itertools import chain
def chunkme(X, chunksize):
"""Return items generated by X in chunks (lists) of size chunksize."""
chunk = []
for x in X:
......@@ -16,6 +17,7 @@ def chunkme(X, chunksize):
yield chunk
def producer_fun(X, q_in, cont, nprocs, chunksize):
"""parmap internal helper"""
for i, x in enumerate(chunkme(X, chunksize)):
q_in.put((i, x))
......@@ -24,6 +26,7 @@ def producer_fun(X, q_in, cont, nprocs, chunksize):
q_in.put((None, None))
def worker_fun(f, q_in, q_out, multimap, chunksize):
"""parmap internal helper"""
while True:
i, chunk = q_in.get()
if i is None:
......@@ -44,6 +47,22 @@ def worker_fun(f, q_in, q_out, multimap, chunksize):
def parmap(f, X, nprocs = None, chunksize = 1, chunks_in_flight = None,
in_order = True, multimap = False, out_chunksize = None):
"""Implements parallel version of map.
Spawns producer and (multiple) worker threads. Works as generator
calculating new values as needed (see below for fine tuning of ahead
computation). Prevents memory exhaustion in case of fast workers
and slow consumption of generated values.
f -- function to map on each element of X
X -- generator
nprocs -- number of worker threads to spawn
chunksize -- number of items retrieved by worker from queue at once
chunks_in_flight -- maximal number of chunks being processed at once
in_order -- if True, input sequence may be reordered during processing
multimap -- if True, f is expected to return an Iterable and flattening is done
out_chunksize -- size of chunks send from workers to consumer
if nprocs is None:
nprocs = multiprocessing.cpu_count()
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