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51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
# A monkey patch of the base distutils.ccompiler to use parallel builds
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# Tested on 2.7, looks to be identical to 3.3.
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from multiprocessing import Pool, cpu_count
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from distutils.ccompiler import CCompiler
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import os
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# hideous monkeypatching. but. but. but.
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def _mp_compile_one(tp):
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(self, obj, build, cc_args, extra_postargs, pp_opts) = tp
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try:
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src, ext = build[obj]
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except KeyError:
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return
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self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
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return
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def _mp_compile(self, sources, output_dir=None, macros=None,
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include_dirs=None, debug=0, extra_preargs=None,
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extra_postargs=None, depends=None):
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"""Compile one or more source files.
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see distutils.ccompiler.CCompiler.compile for comments.
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"""
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# A concrete compiler class can either override this method
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# entirely or implement _compile().
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macros, objects, extra_postargs, pp_opts, build = \
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self._setup_compile(output_dir, macros, include_dirs, sources,
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depends, extra_postargs)
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cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
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try:
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max_procs = int(os.environ.get('MAX_CONCURRENCY', cpu_count()))
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except:
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max_procs = None
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pool = Pool(max_procs)
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try:
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print ("Building using %d processes" % pool._processes)
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except: pass
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arr = [(self, obj, build, cc_args, extra_postargs, pp_opts) for obj in objects]
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results = pool.map_async(_mp_compile_one,arr)
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pool.close()
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pool.join()
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# Return *all* object filenames, not just the ones we just built.
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return objects
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CCompiler.compile = _mp_compile
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