Pillow/mp_compile.py
2014-09-14 10:23:51 +03:00

64 lines
2.1 KiB
Python

# A monkey patch of the base distutils.ccompiler to use parallel builds
# Tested on 2.7, looks to be identical to 3.3.
from multiprocessing import Pool, cpu_count
from distutils.ccompiler import CCompiler
import os, sys
try:
MAX_PROCS = int(os.environ.get('MAX_CONCURRENCY', cpu_count()))
except:
MAX_PROCS = None
# hideous monkeypatching. but. but. but.
def _mp_compile_one(tp):
(self, obj, build, cc_args, extra_postargs, pp_opts) = tp
try:
src, ext = build[obj]
except KeyError:
return
self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
return
def _mp_compile(self, sources, output_dir=None, macros=None,
include_dirs=None, debug=0, extra_preargs=None,
extra_postargs=None, depends=None):
"""Compile one or more source files.
see distutils.ccompiler.CCompiler.compile for comments.
"""
# A concrete compiler class can either override this method
# entirely or implement _compile().
macros, objects, extra_postargs, pp_opts, build = self._setup_compile(
output_dir, macros, include_dirs, sources, depends, extra_postargs)
cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
pool = Pool(MAX_PROCS)
try:
print ("Building using %d processes" % pool._processes)
except:
pass
arr = [(self, obj, build, cc_args, extra_postargs, pp_opts)
for obj in objects]
pool.map_async(_mp_compile_one, arr)
pool.close()
pool.join()
# Return *all* object filenames, not just the ones we just built.
return objects
# explicitly don't enable if environment says 1 processor
if MAX_PROCS != 1 and not sys.platform.startswith('win'):
try:
# bug, only enable if we can make a Pool. see issue #790 and
# http://stackoverflow.com/questions/6033599/oserror-38-errno-38-with-multiprocessing
pool = Pool(2)
CCompiler.compile = _mp_compile
except Exception as msg:
print("Exception installing mp_compile, proceeding without: %s" % msg)
else:
print("Single threaded build, not installing mp_compile: %s processes" %
MAX_PROCS)