| # Copyright 2012 The Emscripten Authors. All rights reserved. |
| # Emscripten is available under two separate licenses, the MIT license and the |
| # University of Illinois/NCSA Open Source License. Both these licenses can be |
| # found in the LICENSE file. |
| |
| from __future__ import print_function |
| import os |
| import sys |
| import subprocess |
| import re |
| import json |
| import shutil |
| import logging |
| |
| __rootpath__ = os.path.abspath(os.path.dirname(os.path.dirname(__file__))) |
| sys.path.insert(1, __rootpath__) |
| |
| from tools.toolchain_profiler import ToolchainProfiler |
| if __name__ == '__main__': |
| ToolchainProfiler.record_process_start() |
| |
| try: |
| from tools import shared |
| except ImportError: |
| # Python 2 circular import compatibility |
| import shared |
| |
| configuration = shared.configuration |
| temp_files = configuration.get_temp_files() |
| |
| |
| def path_from_root(*pathelems): |
| return os.path.join(__rootpath__, *pathelems) |
| |
| |
| # Passes supported by the native optimizer |
| NATIVE_PASSES = set(['asm', 'asmPreciseF32', 'receiveJSON', 'emitJSON', 'eliminateDeadFuncs', 'eliminate', 'eliminateMemSafe', 'simplifyExpressions', 'simplifyIfs', 'optimizeFrounds', 'registerize', 'registerizeHarder', 'minifyNames', 'minifyLocals', 'minifyWhitespace', 'cleanup', 'asmLastOpts', 'last', 'noop', 'closure']) |
| |
| JS_OPTIMIZER = path_from_root('tools', 'js-optimizer.js') |
| |
| NUM_CHUNKS_PER_CORE = 3 |
| MIN_CHUNK_SIZE = int(os.environ.get('EMCC_JSOPT_MIN_CHUNK_SIZE') or 512 * 1024) # configuring this is just for debugging purposes |
| MAX_CHUNK_SIZE = int(os.environ.get('EMCC_JSOPT_MAX_CHUNK_SIZE') or 5 * 1024 * 1024) |
| |
| WINDOWS = sys.platform.startswith('win') |
| |
| DEBUG = os.environ.get('EMCC_DEBUG') |
| |
| func_sig = re.compile(r'function ([_\w$]+)\(') |
| func_sig_json = re.compile(r'\["defun", ?"([_\w$]+)",') |
| import_sig = re.compile(r'(var|const) ([_\w$]+ *=[^;]+);') |
| |
| NATIVE_OPTIMIZER = os.environ.get('EMCC_NATIVE_OPTIMIZER') or '2' # use optimized native optimizer by default (can also be '1' or 'g') |
| |
| |
| def split_funcs(js, just_split=False): |
| if just_split: |
| return [('(json)', line) for line in js.splitlines()] |
| if shared.Settings.WASM_BACKEND: |
| # for the wasm backend, split properly even if there are no newlines, |
| # which is important for deterministic builds (as which functions |
| # are in each chunk may differ, so we need to split them up and combine |
| # them all together later and sort them deterministically) |
| parts = ['function ' + part for part in js.split('function ')[1:]] |
| funcs = [] |
| for func in parts: |
| m = func_sig.search(func) |
| if not m: |
| continue |
| ident = m.group(1) |
| assert ident |
| funcs.append((ident, func)) |
| return funcs |
| else: |
| # for fastcomp split using the legacy method, which looks for newlines. |
| # it does *not* work without newlines, but the sourcemapping support |
| # depends on not splitting without newlines |
| parts = [part for part in js.split('\n}\n')] |
| funcs = [] |
| for i, func in enumerate(parts): |
| if i < len(parts) - 1: |
| func += '\n}\n' # last part needs no } |
| m = func_sig.search(func) |
| if not m: |
| continue |
| ident = m.group(1) |
| assert ident |
| funcs.append((ident, func)) |
| return funcs |
| |
| |
| def get_native_optimizer(): |
| # Allow users to override the location of the optimizer executable by setting |
| # an environment variable EMSCRIPTEN_NATIVE_OPTIMIZER=/path/to/optimizer(.exe) |
| opt = os.environ.get('EMSCRIPTEN_NATIVE_OPTIMIZER') |
| if opt: |
| logging.debug('env forcing native optimizer at ' + opt) |
| return opt |
| # Also, allow specifying the location of the optimizer in .emscripten |
| # configuration file under EMSCRIPTEN_NATIVE_OPTIMIZER='/path/to/optimizer' |
| opt = shared.EMSCRIPTEN_NATIVE_OPTIMIZER |
| if opt: |
| logging.debug('config forcing native optimizer at ' + opt) |
| return opt |
| |
| log_output = None if DEBUG else subprocess.PIPE |
| |
| def get_optimizer(name, args): |
| def create_optimizer_cmake(): |
| shared.logging.debug('building native optimizer via CMake: ' + name) |
| output = shared.Cache.get_path(name) |
| shared.try_delete(output) |
| |
| if NATIVE_OPTIMIZER == '1': |
| cmake_build_type = 'RelWithDebInfo' |
| elif NATIVE_OPTIMIZER == '2': |
| cmake_build_type = 'Release' |
| elif NATIVE_OPTIMIZER == 'g': |
| cmake_build_type = 'Debug' |
| |
| build_path = shared.Cache.get_path('optimizer_build_' + cmake_build_type) |
| shared.try_delete(os.path.join(build_path, 'CMakeCache.txt')) |
| |
| if not os.path.exists(build_path): |
| os.mkdir(build_path) |
| |
| if WINDOWS: |
| # Poor man's check for whether or not we should attempt 64 bit build |
| if os.environ.get('ProgramFiles(x86)'): |
| cmake_generators = [ |
| 'Visual Studio 15 2017 Win64', |
| 'Visual Studio 15 2017', |
| 'Visual Studio 14 2015 Win64', |
| 'Visual Studio 14 2015', |
| 'Visual Studio 12 Win64', # The year component is omitted for compatibility with older CMake. |
| 'Visual Studio 12', |
| 'Visual Studio 11 Win64', |
| 'Visual Studio 11', |
| 'MinGW Makefiles', |
| 'Unix Makefiles', |
| ] |
| else: |
| cmake_generators = [ |
| 'Visual Studio 15 2017', |
| 'Visual Studio 14 2015', |
| 'Visual Studio 12', |
| 'Visual Studio 11', |
| 'MinGW Makefiles', |
| 'Unix Makefiles', |
| ] |
| else: |
| cmake_generators = ['Unix Makefiles'] |
| |
| for cmake_generator in cmake_generators: |
| # Delete CMakeCache.txt so that we can switch to a new CMake generator. |
| shared.try_delete(os.path.join(build_path, 'CMakeCache.txt')) |
| proc = subprocess.Popen(['cmake', '-G', cmake_generator, '-DCMAKE_BUILD_TYPE=' + cmake_build_type, shared.path_from_root('tools', 'optimizer')], cwd=build_path, stdin=log_output, stdout=log_output, stderr=log_output) |
| proc.communicate() |
| if proc.returncode == 0: |
| make = ['cmake', '--build', build_path] |
| if 'Visual Studio' in cmake_generator: |
| make += ['--config', cmake_build_type, '--', '/nologo', '/verbosity:minimal'] |
| |
| proc = subprocess.Popen(make, cwd=build_path, stdin=log_output, stdout=log_output, stderr=log_output) |
| proc.communicate() |
| if proc.returncode == 0: |
| if WINDOWS and 'Visual Studio' in cmake_generator: |
| shutil.copyfile(os.path.join(build_path, cmake_build_type, 'optimizer.exe'), output) |
| else: |
| shutil.copyfile(os.path.join(build_path, 'optimizer'), output) |
| return output |
| |
| assert False |
| |
| def create_optimizer(): |
| shared.logging.debug('building native optimizer: ' + name) |
| output = shared.Cache.get_path(name) |
| shared.try_delete(output) |
| for compiler in [shared.CLANG, 'g++', 'clang++']: # try our clang first, otherwise hope for a system compiler in the path |
| shared.logging.debug(' using ' + compiler) |
| try: |
| shared.run_process([compiler, |
| shared.path_from_root('tools', 'optimizer', 'parser.cpp'), |
| shared.path_from_root('tools', 'optimizer', 'simple_ast.cpp'), |
| shared.path_from_root('tools', 'optimizer', 'optimizer.cpp'), |
| shared.path_from_root('tools', 'optimizer', 'optimizer-shared.cpp'), |
| shared.path_from_root('tools', 'optimizer', 'optimizer-main.cpp'), |
| '-O3', '-std=c++11', '-fno-exceptions', '-fno-rtti', '-o', output] + args, |
| stdout=log_output, stderr=log_output) |
| except Exception as e: |
| logging.debug(str(e)) |
| continue # perhaps the later compilers will succeed |
| # success |
| return output |
| shared.exit_with_error('Failed to build native optimizer') |
| |
| use_cmake_to_configure = WINDOWS # Currently only Windows uses CMake to drive the optimizer build, but set this to True to use on other platforms as well. |
| if use_cmake_to_configure: |
| return shared.Cache.get(name, create_optimizer_cmake) |
| else: |
| return shared.Cache.get(name, create_optimizer) |
| |
| if NATIVE_OPTIMIZER == '1': |
| return get_optimizer('optimizer.exe', []) |
| elif NATIVE_OPTIMIZER == '2': |
| return get_optimizer('optimizer.2.exe', ['-DNDEBUG']) |
| elif NATIVE_OPTIMIZER == 'g': |
| return get_optimizer('optimizer.g.exe', ['-O0', '-g', '-fno-omit-frame-pointer']) |
| |
| |
| # Check if we should run a pass or set of passes natively. if a set of passes, |
| # they must all be valid to run in the native optimizer at once. |
| def use_native(x, source_map=False): |
| if source_map: |
| return False |
| if not NATIVE_OPTIMIZER or NATIVE_OPTIMIZER == '0': |
| return False |
| if isinstance(x, list): |
| return len(NATIVE_PASSES.intersection(x)) == len(x) and 'asm' in x |
| return x in NATIVE_PASSES |
| |
| |
| class Minifier(object): |
| """asm.js minification support. We calculate minification of |
| globals here, then pass that into the parallel js-optimizer.js runners which |
| perform minification of locals. |
| """ |
| |
| def __init__(self, js, js_engine): |
| self.js = js |
| self.js_engine = js_engine |
| self.symbols_file = None |
| self.profiling_funcs = False |
| |
| def minify_shell(self, shell, minify_whitespace, source_map=False): |
| # Run through js-optimizer.js to find and minify the global symbols |
| # We send it the globals, which it parses at the proper time. JS decides how |
| # to minify all global names, we receive a dictionary back, which is then |
| # used by the function processors |
| |
| shell = shell.replace('0.0', '13371337') # avoid uglify doing 0.0 => 0 |
| |
| # Find all globals in the JS functions code |
| |
| if not self.profiling_funcs: |
| self.globs = [m.group(1) for m in func_sig.finditer(self.js)] |
| if len(self.globs) == 0: |
| self.globs = [m.group(1) for m in func_sig_json.finditer(self.js)] |
| else: |
| self.globs = [] |
| |
| with temp_files.get_file('.minifyglobals.js') as temp_file: |
| with open(temp_file, 'w') as f: |
| f.write(shell) |
| f.write('\n') |
| f.write('// EXTRA_INFO:' + json.dumps(self.serialize())) |
| |
| cmd = self.js_engine + [JS_OPTIMIZER, temp_file, 'minifyGlobals', 'noPrintMetadata'] |
| if minify_whitespace: |
| cmd.append('minifyWhitespace') |
| if source_map: |
| cmd.append('--debug') |
| output = shared.run_process(cmd, stdout=subprocess.PIPE).stdout |
| |
| assert len(output) and not output.startswith('Assertion failed'), 'Error in js optimizer: ' + output |
| code, metadata = output.split('// EXTRA_INFO:') |
| self.globs = json.loads(metadata) |
| |
| if self.symbols_file: |
| with open(self.symbols_file, 'w') as f: |
| for key, value in self.globs.items(): |
| f.write(value + ':' + key + '\n') |
| print('wrote symbol map file to', self.symbols_file, file=sys.stderr) |
| |
| return code.replace('13371337', '0.0') |
| |
| def serialize(self): |
| return { |
| 'globals': self.globs |
| } |
| |
| |
| start_funcs_marker = '// EMSCRIPTEN_START_FUNCS\n' |
| end_funcs_marker = '// EMSCRIPTEN_END_FUNCS\n' |
| start_asm_marker = '// EMSCRIPTEN_START_ASM\n' |
| end_asm_marker = '// EMSCRIPTEN_END_ASM\n' |
| |
| |
| def run_on_chunk(command): |
| try: |
| if JS_OPTIMIZER in command: # XXX hackish |
| index = command.index(JS_OPTIMIZER) |
| filename = command[index + 1] |
| else: |
| filename = command[1] |
| if os.environ.get('EMCC_SAVE_OPT_TEMP') and os.environ.get('EMCC_SAVE_OPT_TEMP') != '0': |
| saved = 'save_' + os.path.basename(filename) |
| while os.path.exists(saved): |
| saved = 'input' + str(int(saved.replace('input', '').replace('.txt', '')) + 1) + '.txt' |
| print('running js optimizer command', ' '.join([c if c != filename else saved for c in command]), file=sys.stderr) |
| shutil.copyfile(filename, os.path.join(shared.get_emscripten_temp_dir(), saved)) |
| if shared.EM_BUILD_VERBOSE >= 3: |
| print('run_on_chunk: ' + str(command), file=sys.stderr) |
| proc = shared.run_process(command, stdout=subprocess.PIPE) |
| output = proc.stdout |
| assert proc.returncode == 0, 'Error in optimizer (return code ' + str(proc.returncode) + '): ' + output |
| assert len(output) and not output.startswith('Assertion failed'), 'Error in optimizer: ' + output |
| filename = temp_files.get(os.path.basename(filename) + '.jo.js').name |
| with open(filename, 'w') as f: |
| f.write(output) |
| if DEBUG and not shared.WINDOWS: |
| print('.', file=sys.stderr) # Skip debug progress indicator on Windows, since it doesn't buffer well with multiple threads printing to console. |
| return filename |
| except KeyboardInterrupt: |
| # avoid throwing keyboard interrupts from a child process |
| raise Exception() |
| |
| |
| def run_on_js(filename, passes, js_engine, source_map=False, extra_info=None, just_split=False, just_concat=False, extra_closure_args=[]): |
| with ToolchainProfiler.profile_block('js_optimizer.split_markers'): |
| if not isinstance(passes, list): |
| passes = [passes] |
| |
| js = open(filename).read() |
| if os.linesep != '\n': |
| js = js.replace(os.linesep, '\n') # we assume \n in the splitting code |
| |
| # Find suffix |
| suffix_marker = '// EMSCRIPTEN_GENERATED_FUNCTIONS' |
| suffix_start = js.find(suffix_marker) |
| suffix = '' |
| if suffix_start >= 0: |
| suffix_end = js.find('\n', suffix_start) |
| suffix = js[suffix_start:suffix_end] + '\n' |
| # if there is metadata, we will run only on the generated functions. If there isn't, we will run on everything. |
| |
| # Find markers |
| start_funcs = js.find(start_funcs_marker) |
| end_funcs = js.rfind(end_funcs_marker) |
| |
| if start_funcs < 0 or end_funcs < start_funcs or not suffix: |
| shared.exit_with_error('Invalid input file. Did not contain appropriate markers. (start_funcs: %s, end_funcs: %s, suffix_start: %s' % (start_funcs, end_funcs, suffix_start)) |
| |
| minify_globals = 'minifyNames' in passes |
| if minify_globals: |
| passes = [p if p != 'minifyNames' else 'minifyLocals' for p in passes] |
| start_asm = js.find(start_asm_marker) |
| end_asm = js.rfind(end_asm_marker) |
| assert (start_asm >= 0) == (end_asm >= 0) |
| |
| closure = 'closure' in passes |
| if closure: |
| passes = [p for p in passes if p != 'closure'] # we will do it manually |
| |
| cleanup = 'cleanup' in passes |
| if cleanup: |
| passes = [p for p in passes if p != 'cleanup'] # we will do it manually |
| |
| if not minify_globals: |
| with ToolchainProfiler.profile_block('js_optimizer.no_minify_globals'): |
| pre = js[:start_funcs + len(start_funcs_marker)] |
| post = js[end_funcs + len(end_funcs_marker):] |
| js = js[start_funcs + len(start_funcs_marker):end_funcs] |
| if 'asm' not in passes: |
| # can have Module[..] and inlining prevention code, push those to post |
| class Finals(object): |
| buf = [] |
| |
| def process(line): |
| if len(line) and (line.startswith(('Module[', 'if (globalScope)')) or line.endswith('["X"]=1;')): |
| Finals.buf.append(line) |
| return False |
| return True |
| |
| js = '\n'.join(filter(process, js.split('\n'))) |
| post = '\n'.join(Finals.buf) + '\n' + post |
| post = end_funcs_marker + post |
| else: |
| with ToolchainProfiler.profile_block('js_optimizer.minify_globals'): |
| # We need to split out the asm shell as well, for minification |
| pre = js[:start_asm + len(start_asm_marker)] |
| post = js[end_asm:] |
| asm_shell = js[start_asm + len(start_asm_marker):start_funcs + len(start_funcs_marker)] + ''' |
| EMSCRIPTEN_FUNCS(); |
| ''' + js[end_funcs + len(end_funcs_marker):end_asm + len(end_asm_marker)] |
| js = js[start_funcs + len(start_funcs_marker):end_funcs] |
| |
| # we assume there is a maximum of one new name per line |
| minifier = Minifier(js, js_engine) |
| |
| def check_symbol_mapping(p): |
| if p.startswith('symbolMap='): |
| minifier.symbols_file = p.split('=', 1)[1] |
| return False |
| if p == 'profilingFuncs': |
| minifier.profiling_funcs = True |
| return False |
| return True |
| |
| passes = list(filter(check_symbol_mapping, passes)) |
| asm_shell_pre, asm_shell_post = minifier.minify_shell(asm_shell, 'minifyWhitespace' in passes, source_map).split('EMSCRIPTEN_FUNCS();') |
| if not shared.Settings.WASM_BACKEND: |
| # Restore a comment for Closure Compiler |
| asm_open_bracket = asm_shell_pre.find('(') |
| asm_shell_pre = asm_shell_pre[:asm_open_bracket + 1] + '/** @suppress {uselessCode} */' + asm_shell_pre[asm_open_bracket + 1:] |
| asm_shell_post = asm_shell_post.replace('});', '})') |
| pre += asm_shell_pre + '\n' + start_funcs_marker |
| post = end_funcs_marker + asm_shell_post + post |
| |
| minify_info = minifier.serialize() |
| |
| if extra_info: |
| for key, value in extra_info.items(): |
| assert key not in minify_info or value == minify_info[key], [key, value, minify_info[key]] |
| minify_info[key] = value |
| |
| # if DEBUG: |
| # print >> sys.stderr, 'minify info:', minify_info |
| |
| with ToolchainProfiler.profile_block('js_optimizer.remove_suffix_and_split'): |
| # remove suffix if no longer needed |
| if suffix and 'last' in passes: |
| suffix_start = post.find(suffix_marker) |
| suffix_end = post.find('\n', suffix_start) |
| post = post[:suffix_start] + post[suffix_end:] |
| |
| total_size = len(js) |
| funcs = split_funcs(js, just_split) |
| js = None |
| |
| with ToolchainProfiler.profile_block('js_optimizer.split_to_chunks'): |
| # if we are making source maps, we want our debug numbering to start from the |
| # top of the file, so avoid breaking the JS into chunks |
| cores = 1 if source_map else shared.Building.get_num_cores() |
| |
| if not just_split: |
| intended_num_chunks = int(round(cores * NUM_CHUNKS_PER_CORE)) |
| chunk_size = min(MAX_CHUNK_SIZE, max(MIN_CHUNK_SIZE, total_size / intended_num_chunks)) |
| chunks = shared.chunkify(funcs, chunk_size) |
| else: |
| # keep same chunks as before |
| chunks = [f[1] for f in funcs] |
| |
| chunks = [chunk for chunk in chunks if len(chunk)] |
| if DEBUG and len(chunks): |
| print('chunkification: num funcs:', len(funcs), 'actual num chunks:', len(chunks), 'chunk size range:', max(map(len, chunks)), '-', min(map(len, chunks)), file=sys.stderr) |
| funcs = None |
| |
| if len(chunks): |
| serialized_extra_info = suffix_marker + '\n' |
| if minify_globals: |
| serialized_extra_info += '// EXTRA_INFO:' + json.dumps(minify_info) |
| elif extra_info: |
| serialized_extra_info += '// EXTRA_INFO:' + json.dumps(extra_info) |
| with ToolchainProfiler.profile_block('js_optimizer.write_chunks'): |
| def write_chunk(chunk, i): |
| temp_file = temp_files.get('.jsfunc_%d.js' % i).name |
| with open(temp_file, 'w') as f: |
| f.write(chunk) |
| f.write(serialized_extra_info) |
| return temp_file |
| filenames = [write_chunk(chunks[i], i) for i in range(len(chunks))] |
| else: |
| filenames = [] |
| |
| with ToolchainProfiler.profile_block('run_optimizer'): |
| if len(filenames): |
| if not use_native(passes, source_map): |
| commands = [js_engine + [JS_OPTIMIZER, f, 'noPrintMetadata'] + |
| (['--debug'] if source_map else []) + passes for f in filenames] |
| else: |
| # use the native optimizer |
| shared.logging.debug('js optimizer using native') |
| assert not source_map # XXX need to use js optimizer |
| commands = [[get_native_optimizer(), f] + passes for f in filenames] |
| # print [' '.join(command) for command in commands] |
| |
| cores = min(cores, len(filenames)) |
| if len(chunks) > 1 and cores >= 2: |
| # We can parallelize |
| if DEBUG: |
| print('splitting up js optimization into %d chunks, using %d cores (total: %.2f MB)' % (len(chunks), cores, total_size / (1024 * 1024.)), file=sys.stderr) |
| with ToolchainProfiler.profile_block('optimizer_pool'): |
| pool = shared.Building.get_multiprocessing_pool() |
| filenames = pool.map(run_on_chunk, commands, chunksize=1) |
| else: |
| # We can't parallize, but still break into chunks to avoid uglify/node memory issues |
| if len(chunks) > 1 and DEBUG: |
| print('splitting up js optimization into %d chunks' % (len(chunks)), file=sys.stderr) |
| filenames = [run_on_chunk(command) for command in commands] |
| else: |
| filenames = [] |
| |
| for filename in filenames: |
| temp_files.note(filename) |
| |
| with ToolchainProfiler.profile_block('split_closure_cleanup'): |
| if closure or cleanup: |
| # run on the shell code, everything but what we js-optimize |
| start_asm = '// EMSCRIPTEN_START_ASM\n' |
| end_asm = '// EMSCRIPTEN_END_ASM\n' |
| cl_sep = 'wakaUnknownBefore(); var asm=wakaUnknownAfter(wakaGlobal,wakaEnv,wakaBuffer)\n' |
| |
| with temp_files.get_file('.cl.js') as cle: |
| pre_1, pre_2 = pre.split(start_asm) |
| post_1, post_2 = post.split(end_asm) |
| with open(cle, 'w') as f: |
| f.write(pre_1) |
| f.write(cl_sep) |
| f.write(post_2) |
| cld = cle |
| if closure: |
| if DEBUG: |
| print('running closure on shell code', file=sys.stderr) |
| cld = shared.Building.closure_compiler(cld, pretty='minifyWhitespace' not in passes, |
| extra_closure_args=extra_closure_args) |
| temp_files.note(cld) |
| elif cleanup: |
| if DEBUG: |
| print('running cleanup on shell code', file=sys.stderr) |
| acorn_passes = ['JSDCE'] |
| if 'minifyWhitespace' in passes: |
| acorn_passes.append('minifyWhitespace') |
| cld = shared.Building.acorn_optimizer(cld, acorn_passes) |
| temp_files.note(cld) |
| coutput = open(cld).read() |
| |
| coutput = coutput.replace('wakaUnknownBefore();', start_asm) |
| after = 'wakaUnknownAfter' |
| start = coutput.find(after) |
| end = coutput.find(')', start) |
| # If the closure comment to suppress useless code is present, we need to look one |
| # brace past it, as the first is in there. Otherwise, the first brace is the |
| # start of the function body (what we want). |
| USELESS_CODE_COMMENT = '/** @suppress {uselessCode} */ ' |
| USELESS_CODE_COMMENT_BODY = 'uselessCode' |
| brace = pre_2.find('{') + 1 |
| has_useless_code_comment = False |
| if pre_2[brace:brace + len(USELESS_CODE_COMMENT_BODY)] == USELESS_CODE_COMMENT_BODY: |
| brace = pre_2.find('{', brace) + 1 |
| has_useless_code_comment = True |
| pre = coutput[:start] + '(' + (USELESS_CODE_COMMENT if has_useless_code_comment else '') + 'function(global,env,buffer) {\n' + pre_2[brace:] |
| post = post_1 + end_asm + coutput[end + 1:] |
| |
| with ToolchainProfiler.profile_block('write_pre'): |
| filename += '.jo.js' |
| temp_files.note(filename) |
| f = open(filename, 'w') |
| f.write(pre) |
| pre = None |
| |
| with ToolchainProfiler.profile_block('sort_or_concat'): |
| if not just_concat: |
| # sort functions by size, to make diffing easier and to improve aot times |
| funcses = [] |
| for out_file in filenames: |
| funcses.append(split_funcs(open(out_file).read(), False)) |
| funcs = [item for sublist in funcses for item in sublist] |
| funcses = None |
| if not os.environ.get('EMCC_NO_OPT_SORT'): |
| funcs.sort(key=lambda x: (len(x[1]), x[0]), reverse=True) |
| |
| if 'last' in passes and len(funcs): |
| count = funcs[0][1].count('\n') |
| if count > 3000: |
| print('warning: Output contains some very large functions (%s lines in %s), consider building source files with -Os or -Oz)' % (count, funcs[0][0]), file=sys.stderr) |
| |
| for func in funcs: |
| f.write(func[1]) |
| funcs = None |
| else: |
| # just concat the outputs |
| for out_file in filenames: |
| f.write(open(out_file).read()) |
| |
| with ToolchainProfiler.profile_block('write_post'): |
| f.write('\n') |
| f.write(post) |
| # No need to write suffix: if there was one, it is inside post which exists when suffix is there |
| f.write('\n') |
| f.close() |
| |
| return filename |
| |
| |
| def run(filename, passes, js_engine=shared.NODE_JS, source_map=False, extra_info=None, just_split=False, just_concat=False, extra_closure_args=[]): |
| if 'receiveJSON' in passes: |
| just_split = True |
| if 'emitJSON' in passes: |
| just_concat = True |
| js_engine = shared.listify(js_engine) |
| with ToolchainProfiler.profile_block('js_optimizer.run_on_js'): |
| return run_on_js(filename, passes, js_engine, source_map, extra_info, just_split, just_concat, extra_closure_args) |
| |
| |
| def main(): |
| ToolchainProfiler.record_process_start() |
| last = sys.argv[-1] |
| if '{' in last: |
| extra_info = json.loads(last) |
| sys.argv = sys.argv[:-1] |
| else: |
| extra_info = None |
| out = run(sys.argv[1], sys.argv[2:], extra_info=extra_info) |
| shutil.copyfile(out, sys.argv[1] + '.jsopt.js') |
| return 0 |
| |
| |
| if __name__ == '__main__': |
| sys.exit(main()) |
