mirror of
https://gitlab.com/ita1024/waf.git
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149 lines
4.3 KiB
Python
149 lines
4.3 KiB
Python
#! /usr/bin/env python
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# encoding: utf-8
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# Alexander Afanasyev (UCLA), 2014
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"""
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Enable precompiled C++ header support (currently only clang++ and g++ are supported)
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To use this tool, wscript should look like:
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def options(opt):
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opt.load('pch')
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# This will add `--with-pch` configure option.
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# Unless --with-pch during configure stage specified, the precompiled header support is disabled
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def configure(conf):
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conf.load('pch')
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# this will set conf.env.WITH_PCH if --with-pch is specified and the supported compiler is used
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# Unless conf.env.WITH_PCH is set, the precompiled header support is disabled
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def build(bld):
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bld(features='cxx pch',
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target='precompiled-headers',
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name='precompiled-headers',
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headers='a.h b.h c.h', # headers to pre-compile into `precompiled-headers`
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# Other parameters to compile precompiled headers
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# includes=...,
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# export_includes=...,
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# use=...,
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# ...
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# Exported parameters will be propagated even if precompiled headers are disabled
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)
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bld(
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target='test',
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features='cxx cxxprogram',
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source='a.cpp b.cpp d.cpp main.cpp',
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use='precompiled-headers',
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)
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# or
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bld(
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target='test',
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features='pch cxx cxxprogram',
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source='a.cpp b.cpp d.cpp main.cpp',
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headers='a.h b.h c.h',
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)
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Note that precompiled header must have multiple inclusion guards. If the guards are missing, any benefit of precompiled header will be voided and compilation may fail in some cases.
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"""
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import os
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from waflib import Task, TaskGen, Utils
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from waflib.Tools import c_preproc, cxx
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PCH_COMPILER_OPTIONS = {
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'clang++': [['-include'], '.pch', ['-x', 'c++-header']],
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'g++': [['-include'], '.gch', ['-x', 'c++-header']],
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}
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def options(opt):
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opt.add_option('--without-pch', action='store_false', default=True, dest='with_pch', help='''Try to use precompiled header to speed up compilation (only g++ and clang++)''')
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def configure(conf):
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if (conf.options.with_pch and conf.env['COMPILER_CXX'] in PCH_COMPILER_OPTIONS.keys()):
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conf.env.WITH_PCH = True
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flags = PCH_COMPILER_OPTIONS[conf.env['COMPILER_CXX']]
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conf.env.CXXPCH_F = flags[0]
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conf.env.CXXPCH_EXT = flags[1]
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conf.env.CXXPCH_FLAGS = flags[2]
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@TaskGen.feature('pch')
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@TaskGen.before('process_source')
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def apply_pch(self):
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if not self.env.WITH_PCH:
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return
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if getattr(self.bld, 'pch_tasks', None) is None:
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self.bld.pch_tasks = {}
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if getattr(self, 'headers', None) is None:
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return
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self.headers = self.to_nodes(self.headers)
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if getattr(self, 'name', None):
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try:
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task = self.bld.pch_tasks[self.name]
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self.bld.fatal("Duplicated 'pch' task with name %r" % "%s.%s" % (self.name, self.idx))
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except KeyError:
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pass
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out = '%s.%d%s' % (self.target, self.idx, self.env['CXXPCH_EXT'])
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out = self.path.find_or_declare(out)
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task = self.create_task('gchx', self.headers, out)
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# target should be an absolute path of `out`, but without precompiled header extension
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task.target = out.abspath()[:-len(out.suffix())]
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self.pch_task = task
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if getattr(self, 'name', None):
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self.bld.pch_tasks[self.name] = task
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@TaskGen.feature('cxx')
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@TaskGen.after_method('process_source', 'propagate_uselib_vars')
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def add_pch(self):
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if not (self.env['WITH_PCH'] and getattr(self, 'use', None) and getattr(self, 'compiled_tasks', None) and getattr(self.bld, 'pch_tasks', None)):
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return
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pch = None
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# find pch task, if any
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if getattr(self, 'pch_task', None):
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pch = self.pch_task
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else:
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for use in Utils.to_list(self.use):
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try:
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pch = self.bld.pch_tasks[use]
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except KeyError:
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pass
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if pch:
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for x in self.compiled_tasks:
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x.env.append_value('CXXFLAGS', self.env['CXXPCH_F'] + [pch.target])
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class gchx(Task.Task):
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run_str = '${CXX} ${ARCH_ST:ARCH} ${CXXFLAGS} ${CXXPCH_FLAGS} ${FRAMEWORKPATH_ST:FRAMEWORKPATH} ${CPPPATH_ST:INCPATHS} ${DEFINES_ST:DEFINES} ${CXXPCH_F:SRC} ${CXX_SRC_F}${SRC[0].abspath()} ${CXX_TGT_F}${TGT[0].abspath()} ${CPPFLAGS}'
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scan = c_preproc.scan
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color = 'BLUE'
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ext_out=['.h']
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def runnable_status(self):
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try:
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node_deps = self.generator.bld.node_deps[self.uid()]
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except KeyError:
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node_deps = []
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ret = Task.Task.runnable_status(self)
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if ret == Task.SKIP_ME and self.env.CXX_NAME == 'clang':
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t = os.stat(self.outputs[0].abspath()).st_mtime
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for n in self.inputs + node_deps:
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if os.stat(n.abspath()).st_mtime > t:
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return Task.RUN_ME
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return ret
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