import os, sys, subprocess, multiprocessing, re, string, json, shutil, logging

import shared

configuration = shared.configuration

temp_files = configuration.get_temp_files()

__rootpath__ = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))

def path_from_root(*pathelems):

return os.path.join(__rootpath__, *pathelems)

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('function ([_\w$]+)\(')

func_sig_json = re.compile('\["defun", ?"([_\w$]+)",')

import_sig = re.compile('(var|const) ([_\w$]+ *=[^;]+);')

NATIVE_OPTIMIZER = os.environ.get('EMCC_NATIVE_OPTIMIZER') or '2' # use optimized native optimizer by default, unless disabled by EMCC_NATIVE_OPTIMIZER=0 in the env

def split_funcs(js, just_split=False):

if just_split: return map(lambda line: ('(json)', line), js.split('\n'))

parts = map(lambda part: part, js.split('\n}\n'))

funcs = []

for i in range(len(parts)):

func = parts[i]

if i < len(parts)-1: func += '\n}\n' # last part needs no }

m = func_sig.search(func)

if m:

ident = m.group(1)

else:

continue

assert ident

funcs.append((ident, func))

return funcs

def find_msbuild(sln_file, make_env):

search_paths_vs2013 = [('ProgramFiles', 'MSBuild/12.0/Bin/amd64'),

('ProgramFiles(x86)', 'MSBuild/12.0/Bin/amd64'),

('ProgramFiles', 'MSBuild/12.0/Bin'),

('ProgramFiles(x86)', 'MSBuild/12.0/Bin'),]

search_paths_old = [("WINDIR", 'Microsoft.NET/Framework/v4.0.30319'),]

contents = open(sln_file, 'r').read()

if '# Visual Studio Express 2013' in contents or '# Visual Studio 2013' in contents:

search_paths = search_paths_vs2013 + search_paths_old

pf_path = os.environ.get('ProgramFiles(x86)')

if not pf_path:

pf_path = os.environ.get('ProgramFiles')

make_env['VCTargetsPath'] = os.path.join(pf_path, 'MSBuild/Microsoft.Cpp/v4.0/V120')

else:

search_paths = search_paths_old + search_paths_vs2013

for pf, path in search_paths:

pf_path = os.environ.get(pf)

if not pf_path: continue

p = os.path.join(pf_path, path, 'MSBuild.exe')

if os.path.isfile(p): return [p, make_env]

return [None, make_env]

def get_native_optimizer():

if os.environ.get('EMCC_FAST_COMPILER') == '0':

logging.critical('Non-fastcomp compiler is no longer available, please use fastcomp or an older version of emscripten')

sys.exit(1)

# Allow users to override the location of the optimizer executable by setting an environment variable EMSCRIPTEN_NATIVE_OPTIMIZER=/path/to/optimizer(.exe)

if os.environ.get('EMSCRIPTEN_NATIVE_OPTIMIZER') and len(os.environ.get('EMSCRIPTEN_NATIVE_OPTIMIZER')) > 0: return os.environ.get('EMSCRIPTEN_NATIVE_OPTIMIZER')

# Also, allow specifying the location of the optimizer in .emscripten configuration file under EMSCRIPTEN_NATIVE_OPTIMIZER='/path/to/optimizer'

if hasattr(shared, 'EMSCRIPTEN_NATIVE_OPTIMIZER') and len(shared.EMSCRIPTEN_NATIVE_OPTIMIZER) > 0: return shared.EMSCRIPTEN_NATIVE_OPTIMIZER

FAIL_MARKER = shared.Cache.get_path('optimizer.building_failed')

if os.path.exists(FAIL_MARKER):

shared.logging.debug('seeing that optimizer could not be built (run emcc --clear-cache or erase "optimizer.building_failed" in cache dir to retry)')

return None

def get_optimizer(name, args, handle_build_errors=None):

class NativeOptimizerCreationException(Exception): pass

outs = []

errs = []

try:

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'))

log_output = None if DEBUG else subprocess.PIPE

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 12 Win64', 'Visual Studio 12', 'Visual Studio 11 Win64', 'Visual Studio 11', 'MinGW Makefiles', 'Unix Makefiles']

else:

cmake_generators = ['Visual Studio 12', 'Visual Studio 11', 'MinGW Makefiles', 'Unix Makefiles']

else:

cmake_generators = ['Unix Makefiles']

for cmake_generator in cmake_generators:

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()

make_env = os.environ.copy()

if proc.returncode == 0:

if 'Visual Studio' in cmake_generator:

ret = find_msbuild(os.path.join(build_path, 'asmjs_optimizer.sln'), make_env)

make = [ret[0], '/t:Build', '/p:Configuration='+cmake_build_type, '/nologo', '/verbosity:minimal', 'asmjs_optimizer.sln']

make_env = ret[1]

elif 'MinGW' in cmake_generator:

make = ['mingw32-make']

else:

make = ['make']

proc = subprocess.Popen(make, cwd=build_path, stdin=log_output, stdout=log_output, stderr=log_output, env=make_env)

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

else:

shared.try_delete(os.path.join(build_path, 'CMakeCache.txt'))

# Proceed to next iteration of the loop to try next possible CMake generator.

raise NativeOptimizerCreationException()

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:

out, err = subprocess.Popen([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-main.cpp'),

'-O3', '-std=c++11', '-fno-exceptions', '-fno-rtti', '-o', output] + args, stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate()

outs.append(out)

errs.append(err)

except OSError:

if compiler == shared.CLANG: raise # otherwise, OSError is likely due to g++ or clang++ not being in the path

if os.path.exists(output): return output

raise NativeOptimizerCreationException()

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, extension='exe')

else:

return shared.Cache.get(name, create_optimizer, extension='exe')

except NativeOptimizerCreationException, e:

shared.logging.debug('failed to build native optimizer')

handle_build_errors(outs, errs)

open(FAIL_MARKER, 'w').write(':(')

return None

def ignore_build_errors(outs, errs):

shared.logging.debug('to see compiler errors, build with EMCC_NATIVE_OPTIMIZER=g')

def show_build_errors(outs, errs):

for i in range(len(outs)):

shared.logging.debug('output from attempt ' + str(i) + ': ' + outs[i] + '\n===========\n' + errs[i])

if NATIVE_OPTIMIZER == '1':

return get_optimizer('optimizer.exe', [], ignore_build_errors)

elif NATIVE_OPTIMIZER == '2':

return get_optimizer('optimizer.2.exe', ['-DNDEBUG'], ignore_build_errors)

elif NATIVE_OPTIMIZER == 'g':

return get_optimizer('optimizer.g.exe', ['-O0', '-g', '-fno-omit-frame-pointer'], show_build_errors)

# 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 type(x) == str: return x in NATIVE_PASSES

return len(NATIVE_PASSES.intersection(x)) == len(x) and 'asm' in x

class Minifier:

'''

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 = []

temp_file = temp_files.get('.minifyglobals.js').name

f = open(temp_file, 'w')

f.write(shell)

f.write('\n')

f.write('// EXTRA_INFO:' + json.dumps(self.serialize()))

f.close()

output = subprocess.Popen(self.js_engine +

[JS_OPTIMIZER, temp_file, 'minifyGlobals', 'noPrintMetadata'] +

(['minifyWhitespace'] if minify_whitespace else []) +

(['--debug'] if source_map else []),

stdout=subprocess.PIPE).communicate()[0]

assert len(output) > 0 and not output.startswith('Assertion failed'), 'Error in js optimizer: ' + output

#print >> sys.stderr, "minified SHELL 3333333333333333", output, "\n44444444444444444444"

code, metadata = output.split('// EXTRA_INFO:')

self.globs = json.loads(metadata)

if self.symbols_file:

mapfile = open(self.symbols_file, 'w')

for key, value in self.globs.iteritems():

mapfile.write(value + ':' + key + '\n')

mapfile.close()

print >> sys.stderr, 'wrote symbol map file to', self.symbols_file

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 >> sys.stderr, 'running js optimizer command', ' '.join(map(lambda c: c if c != filename else saved, command))

shutil.copyfile(filename, os.path.join(shared.get_emscripten_temp_dir(), saved))

if shared.EM_BUILD_VERBOSE_LEVEL >= 3: print >> sys.stderr, 'run_on_chunk: ' + str(command)

proc = subprocess.Popen(command, stdout=subprocess.PIPE)

output = proc.communicate()[0]

assert proc.returncode == 0, 'Error in optimizer (return code ' + str(proc.returncode) + '): ' + output

assert len(output) > 0 and not output.startswith('Assertion failed'), 'Error in optimizer: ' + output

filename = temp_files.get(os.path.basename(filename) + '.jo.js').name

# Important to write out in binary mode, because the data we are writing contains Windows line endings '\r\n' because it was PIPED from console.

# Otherwise writing \r\n to ascii mode file will result in Windows amplifying \n to \r\n, generating bad \r\r\n line endings.

f = open(filename, 'wb')

f.write(output)

f.close()

if DEBUG and not shared.WINDOWS: print >> 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):

if type(passes) == str:

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:

logging.critical('Invalid input file. Did not contain appropriate markers. (start_funcs: %s, end_funcs: %s, suffix_start: %s' % (start_funcs, end_funcs, suffix_start))

sys.exit(1)

minify_globals = 'minifyNames' in passes and 'asm' in passes

if minify_globals:

passes = map(lambda p: p if p != 'minifyNames' else 'minifyLocals', 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 = filter(lambda p: p != 'closure', passes) # we will do it manually

cleanup = 'cleanup' in passes

if cleanup:

passes = filter(lambda p: p != 'cleanup', passes) # we will do it manually

split_memory = 'splitMemory' in passes

if not 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:

buf = []

def process(line):

if len(line) > 0 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:

# 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]

return False

if p == 'profilingFuncs':

minifier.profiling_funcs = True

return False

return True

passes = filter(check_symbol_mapping, passes)

asm_shell_pre, asm_shell_post = minifier.minify_shell(asm_shell, 'minifyWhitespace' in passes, source_map).split('EMSCRIPTEN_FUNCS();');

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 DEBUG: print >> sys.stderr, 'minify info:', minify_info

# 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

# 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 int(os.environ.get('EMCC_CORES') or multiprocessing.cpu_count())

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 = map(lambda f: f[1], funcs)

chunks = filter(lambda chunk: len(chunk) > 0, chunks)

if DEBUG and len(chunks) > 0: print >> sys.stderr, 'chunkification: num funcs:', len(funcs), 'actual num chunks:', len(chunks), 'chunk size range:', max(map(len, chunks)), '-', min(map(len, chunks))

funcs = None

if len(chunks) > 0:

def write_chunk(chunk, i):

temp_file = temp_files.get('.jsfunc_%d.js' % i).name

f = open(temp_file, 'w')

f.write(chunk)

f.write(suffix_marker)

if minify_globals:

if extra_info:

for key, value in extra_info.iteritems():

assert key not in minify_info or value == minify_info[key], [key, value, minify_info[key]]

minify_info[key] = value

f.write('\n')

f.write('// EXTRA_INFO:' + json.dumps(minify_info))

elif extra_info:

f.write('\n')

f.write('// EXTRA_INFO:' + json.dumps(extra_info))

f.close()

return temp_file

filenames = [write_chunk(chunks[i], i) for i in range(len(chunks))]

else:

filenames = []

if shared.Settings.WASM:

passes = filter(lambda p: p != 'minifyWhitespace', passes) # if we are going to wasmify the asm module, no need to minify it before hand

if len(filenames) > 0:

if not use_native(passes, source_map) or not get_native_optimizer():

commands = map(lambda filename: js_engine +

[JS_OPTIMIZER, filename, 'noPrintMetadata'] +

(['--debug'] if source_map else []) + passes, filenames)

else:

# use the native optimizer

shared.logging.debug('js optimizer using native')

assert not source_map # XXX need to use js optimizer

commands = map(lambda filename: [get_native_optimizer(), filename] + passes, 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 >> sys.stderr, 'splitting up js optimization into %d chunks, using %d cores (total: %.2f MB)' % (len(chunks), cores, total_size/(1024*1024.))

pool = multiprocessing.Pool(processes=cores)

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 >> sys.stderr, 'splitting up js optimization into %d chunks' % (len(chunks))

filenames = [run_on_chunk(command) for command in commands]

else:

filenames = []

for filename in filenames: temp_files.note(filename)

if closure or cleanup or split_memory:

# 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(global,env,buffer)\n'

cle = temp_files.get('.cl.js').name

c = open(cle, 'w')

pre_1, pre_2 = pre.split(start_asm)

post_1, post_2 = post.split(end_asm)

c.write(pre_1)

c.write(cl_sep)

c.write(post_2)

c.close()

cld = cle

if split_memory:

if DEBUG: print >> sys.stderr, 'running splitMemory on shell code'

cld = run_on_chunk(js_engine + [JS_OPTIMIZER, cld, 'splitMemoryShell'])

f = open(cld, 'a')

f.write(suffix_marker)

f.close()

if closure:

if DEBUG: print >> sys.stderr, 'running closure on shell code'

cld = shared.Building.closure_compiler(cld, pretty='minifyWhitespace' not in passes)

temp_files.note(cld)

elif cleanup:

if DEBUG: print >> sys.stderr, 'running cleanup on shell code'

next = cld + '.cl.js'

temp_files.note(next)

subprocess.Popen(js_engine + [JS_OPTIMIZER, cld, 'noPrintMetadata'] + (['minifyWhitespace'] if 'minifyWhitespace' in passes else []), stdout=open(next, 'w')).communicate()

cld = next

coutput = open(cld).read()

coutput = coutput.replace('wakaUnknownBefore();', start_asm)

after = 'wakaUnknownAfter'

start = coutput.find(after)

end = coutput.find(')', start)

pre = coutput[:start] + '(function(global,env,buffer) {\n' + pre_2[pre_2.find('{')+1:]

post = post_1 + end_asm + coutput[end+1:]

filename += '.jo.js'

f = open(filename, 'w')

f.write(pre);

pre = None

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

def sorter(x, y):

diff = len(y[1]) - len(x[1])

if diff != 0: return diff

if x[0] < y[0]: return 1

elif x[0] > y[0]: return -1

return 0

if not os.environ.get('EMCC_NO_OPT_SORT'):

funcs.sort(sorter)

if 'last' in passes and len(funcs) > 0:

count = funcs[0][1].count('\n')

if count > 3000:

print >> sys.stderr, 'warning: Output contains some very large functions (%s lines in %s), consider building source files with -Os or -Oz, and/or trying OUTLINING_LIMIT to break them up (see settings.js; note that the parameter there affects AST nodes, while we measure lines here, so the two may not match up)' % (count, funcs[0][0])

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())

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):

if 'receiveJSON' in passes: just_split = True

if 'emitJSON' in passes: just_concat = True

js_engine = shared.listify(js_engine)

return temp_files.run_and_clean(lambda: run_on_js(filename, passes, js_engine, source_map, extra_info, just_split, just_concat))

if __name__ == '__main__':

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')