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#!/usr/bin/env python2
'''
You should normally never use this! Use emcc instead.
This is a small wrapper script around the core JS compiler. This calls that
compiler with the settings given to it. It can also read data from C/C++
header files (so that the JS compiler can see the constants in those
headers, for the libc implementation in JS).
'''
import os, sys, json, optparse, subprocess, re, time, multiprocessing
if not os.environ.get('EMSCRIPTEN_SUPPRESS_USAGE_WARNING'):
print >> sys.stderr, '''
==============================================================
WARNING: You should normally never use this! Use emcc instead.
==============================================================
'''
from tools import shared
DEBUG = os.environ.get('EMCC_DEBUG')
__rootpath__ = os.path.abspath(os.path.dirname(__file__))
def path_from_root(*pathelems):
"""Returns the absolute path for which the given path elements are
relative to the emscripten root.
"""
return os.path.join(__rootpath__, *pathelems)
temp_files = shared.TempFiles()
compiler_engine = None
jcache = False
def scan(ll, settings):
# blockaddress(@main, %23)
blockaddrs = []
for blockaddr in re.findall('blockaddress\([^)]*\)', ll):
b = blockaddr.split('(')[1][:-1].split(', ')
blockaddrs.append(b)
if len(blockaddrs) > 0:
settings['NECESSARY_BLOCKADDRS'] = blockaddrs
NUM_CHUNKS_PER_CORE = 5
MIN_CHUNK_SIZE = 1024*1024
MAX_CHUNK_SIZE = float(os.environ.get('EMSCRIPT_MAX_CHUNK_SIZE') or 'inf') # configuring this is just for debugging purposes
def process_funcs(args):
i, funcs, meta, settings_file, compiler, forwarded_file, libraries = args
ll = ''.join(funcs) + '\n' + meta
funcs_file = temp_files.get('.func_%d.ll' % i).name
open(funcs_file, 'w').write(ll)
out = shared.run_js(compiler, compiler_engine, [settings_file, funcs_file, 'funcs', forwarded_file] + libraries, stdout=subprocess.PIPE, cwd=path_from_root('src'))
shared.try_delete(funcs_file)
return out
def emscript(infile, settings, outfile, libraries=[]):
"""Runs the emscripten LLVM-to-JS compiler. We parallelize as much as possible
Args:
infile: The path to the input LLVM assembly file.
settings: JSON-formatted settings that override the values
defined in src/settings.js.
outfile: The file where the output is written.
"""
compiler = path_from_root('src', 'compiler.js')
# Parallelization: We run 3 phases:
# 1 aka 'pre' : Process types and metadata and so forth, and generate the preamble.
# 2 aka 'funcs': Process functions. We can parallelize this, working on each function independently.
# 3 aka 'post' : Process globals, generate postamble and finishing touches.
if DEBUG: print >> sys.stderr, 'emscript: ll=>js'
if jcache: shared.JCache.ensure()
# Pre-scan ll and alter settings as necessary
if DEBUG: t = time.time()
ll = open(infile).read()
scan(ll, settings)
total_ll_size = len(ll)
ll = None # allow collection
if DEBUG: print >> sys.stderr, ' emscript: scan took %s seconds' % (time.time() - t)
# Split input into the relevant parts for each phase
pre = []
funcs = [] # split up functions here, for parallelism later
func_idents = []
meta = [] # needed by each function XXX
if DEBUG: t = time.time()
in_func = False
ll_lines = open(infile).readlines()
for line in ll_lines:
if in_func:
funcs[-1][1].append(line)
if line.startswith('}'):
in_func = False
funcs[-1] = (funcs[-1][0], ''.join(funcs[-1][1]))
pre.append(line) # pre needs it to, so we know about all implemented functions
else:
if line.startswith(';'): continue
if line.startswith('define '):
in_func = True
funcs.append((line, [line])) # use the entire line as the identifier
pre.append(line) # pre needs it to, so we know about all implemented functions
elif line.find(' = type { ') > 0:
pre.append(line) # type
elif line.startswith('!'):
if line.startswith('!llvm.module'): continue # we can ignore that
meta.append(line) # metadata
else:
pre.append(line) # pre needs it so we know about globals in pre and funcs. So emit globals there
ll_lines = None
meta = ''.join(meta)
if DEBUG and len(meta) > 1024*1024: print >> sys.stderr, 'emscript warning: large amounts of metadata, will slow things down'
if DEBUG: print >> sys.stderr, ' emscript: split took %s seconds' % (time.time() - t)
#if DEBUG:
# print >> sys.stderr, '========= pre ================\n'
# print >> sys.stderr, ''.join(pre)
# print >> sys.stderr, '========== funcs ===============\n'
# for func in funcs:
# print >> sys.stderr, '\n// ===\n\n', ''.join(func)
# print >> sys.stderr, '=========================\n'
# Save settings to a file to work around v8 issue 1579
settings_file = temp_files.get('.txt').name
settings_text = json.dumps(settings)
s = open(settings_file, 'w')
s.write(settings_text)
s.close()
# Phase 1 - pre
if DEBUG: t = time.time()
pre_file = temp_files.get('.pre.ll').name
pre_input = ''.join(pre) + '\n' + meta
out = None
if jcache:
keys = [pre_input, settings_text, ','.join(libraries)]
shortkey = shared.JCache.get_shortkey(keys)
out = shared.JCache.get(shortkey, keys)
if out and DEBUG: print >> sys.stderr, ' loading pre from jcache'
if not out:
open(pre_file, 'w').write(pre_input)
out = shared.run_js(compiler, shared.COMPILER_ENGINE, [settings_file, pre_file, 'pre'] + libraries, stdout=subprocess.PIPE, cwd=path_from_root('src'))
if jcache:
if DEBUG: print >> sys.stderr, ' saving pre to jcache'
shared.JCache.set(shortkey, keys, out)
pre, forwarded_data = out.split('//FORWARDED_DATA:')
forwarded_file = temp_files.get('.json').name
open(forwarded_file, 'w').write(forwarded_data)
if DEBUG: print >> sys.stderr, ' emscript: phase 1 took %s seconds' % (time.time() - t)
# Phase 2 - func
cores = multiprocessing.cpu_count()
assert cores >= 1
if cores > 1:
intended_num_chunks = cores * NUM_CHUNKS_PER_CORE
chunk_size = max(MIN_CHUNK_SIZE, total_ll_size / intended_num_chunks)
chunk_size += 3*len(meta) # keep ratio of lots of function code to meta (expensive to process, and done in each parallel task)
chunk_size = min(MAX_CHUNK_SIZE, chunk_size)
else:
chunk_size = MAX_CHUNK_SIZE # if 1 core, just use the max chunk size
if DEBUG: t = time.time()
forwarded_json = json.loads(forwarded_data)
indexed_functions = set()
chunks = shared.JCache.chunkify(funcs, chunk_size, 'emscript_files' if jcache else None)
if jcache:
# load chunks from cache where we can # TODO: ignore small chunks
cached_outputs = []
def load_from_cache(chunk):
keys = [settings_text, forwarded_data, chunk]
shortkey = shared.JCache.get_shortkey(keys) # TODO: share shortkeys with later code
out = shared.JCache.get(shortkey, keys) # this is relatively expensive (pickling?)
if out:
cached_outputs.append(out)
return False
return True
chunks = filter(load_from_cache, chunks)
if len(cached_outputs) > 0:
if out and DEBUG: print >> sys.stderr, ' loading %d funcchunks from jcache' % len(cached_outputs)
else:
cached_outputs = []
# TODO: minimize size of forwarded data from funcs to what we actually need
if cores == 1 and total_ll_size < MAX_CHUNK_SIZE: assert len(chunks) == 1, 'no point in splitting up without multiple cores'
if len(chunks) > 0:
if DEBUG: print >> sys.stderr, ' emscript: phase 2 working on %d chunks %s (intended chunk size: %.2f MB, meta: %.2f MB, forwarded: %.2f MB, total: %.2f MB)' % (len(chunks), ('using %d cores' % cores) if len(chunks) > 1 else '', chunk_size/(1024*1024.), len(meta)/(1024*1024.), len(forwarded_data)/(1024*1024.), total_ll_size/(1024*1024.))
commands = [(i, chunks[i], meta, settings_file, compiler, forwarded_file, libraries) for i in range(len(chunks))]
if len(chunks) > 1:
pool = multiprocessing.Pool(processes=cores)
outputs = pool.map(process_funcs, commands, chunksize=1)
elif len(chunks) == 1:
outputs = [process_funcs(commands[0])]
else:
outputs = []
if jcache:
# save chunks to cache
for i in range(len(chunks)):
chunk = chunks[i]
keys = [settings_text, forwarded_data, chunk]
shortkey = shared.JCache.get_shortkey(keys)
shared.JCache.set(shortkey, keys, outputs[i])
if out and DEBUG and len(chunks) > 0: print >> sys.stderr, ' saving %d funcchunks to jcache' % len(chunks)
if jcache: outputs += cached_outputs # TODO: preserve order
outputs = [output.split('//FORWARDED_DATA:') for output in outputs]
if DEBUG: print >> sys.stderr, ' emscript: phase 2 took %s seconds' % (time.time() - t)
if DEBUG: t = time.time()
funcs_js = ''.join([output[0] for output in outputs])
for func_js, curr_forwarded_data in outputs:
# merge forwarded data
curr_forwarded_json = json.loads(curr_forwarded_data)
forwarded_json['Types']['preciseI64MathUsed'] = forwarded_json['Types']['preciseI64MathUsed'] or curr_forwarded_json['Types']['preciseI64MathUsed']
for key, value in curr_forwarded_json['Functions']['blockAddresses'].iteritems():
forwarded_json['Functions']['blockAddresses'][key] = value
for key in curr_forwarded_json['Functions']['indexedFunctions'].iterkeys():
indexed_functions.add(key)
outputs = None
if DEBUG: print >> sys.stderr, ' emscript: phase 2b took %s seconds' % (time.time() - t)
if DEBUG: t = time.time()
# calculations on merged forwarded data
forwarded_json['Functions']['indexedFunctions'] = {}
i = 2
for indexed in indexed_functions:
forwarded_json['Functions']['indexedFunctions'][indexed] = i # make sure not to modify this python object later - we use it in indexize
i += 2
forwarded_json['Functions']['nextIndex'] = i
indexing = forwarded_json['Functions']['indexedFunctions']
def indexize(js):
return re.sub(r'{{{ FI_([\w\d_$]+) }}}', lambda m: str(indexing[m.groups(0)[0]]), js)
blockaddrs = forwarded_json['Functions']['blockAddresses']
def blockaddrsize(js):
return re.sub(r'{{{ BA_([\w\d_$]+)\|([\w\d_$]+) }}}', lambda m: str(blockaddrs[m.groups(0)[0]][m.groups(0)[1]]), js)
#if DEBUG: outfile.write('// pre\n')
outfile.write(blockaddrsize(indexize(pre)))
pre = None
#if DEBUG: outfile.write('// funcs\n')
outfile.write(blockaddrsize(indexize(funcs_js)))
funcs_js = None
# forward
forwarded_data = json.dumps(forwarded_json)
forwarded_file = temp_files.get('.2.json').name
open(forwarded_file, 'w').write(indexize(forwarded_data))
if DEBUG: print >> sys.stderr, ' emscript: phase 2c took %s seconds' % (time.time() - t)
# Phase 3 - post
if DEBUG: t = time.time()
post_file = temp_files.get('.post.ll').name
open(post_file, 'w').write('\n') # no input, just processing of forwarded data
out = shared.run_js(compiler, shared.COMPILER_ENGINE, [settings_file, post_file, 'post', forwarded_file] + libraries, stdout=subprocess.PIPE, cwd=path_from_root('src'))
#if DEBUG: outfile.write('// post\n')
outfile.write(indexize(out))
if DEBUG: print >> sys.stderr, ' emscript: phase 3 took %s seconds' % (time.time() - t)
outfile.close()
def main(args):
# Prepare settings for serialization to JSON.
settings = {}
for setting in args.settings:
name, value = setting.strip().split('=', 1)
settings[name] = json.loads(value)
# Add header defines to settings
defines = {}
include_root = path_from_root('system', 'include')
headers = args.headers[0].split(',') if len(args.headers) > 0 else []
seen_headers = set()
while len(headers) > 0:
header = headers.pop(0)
if not os.path.isabs(header):
header = os.path.join(include_root, header)
seen_headers.add(header)
for line in open(header, 'r'):
line = line.replace('\t', ' ')
m = re.match('^ *# *define +(?P<name>[-\w_.]+) +\(?(?P<value>[-\w_.|]+)\)?.*', line)
if not m:
# Catch enum defines of a very limited sort
m = re.match('^ +(?P<name>[A-Z_\d]+) += +(?P<value>\d+).*', line)
if m:
if m.group('name') != m.group('value'):
defines[m.group('name')] = m.group('value')
#else:
# print 'Warning: %s #defined to itself' % m.group('name') # XXX this can happen if we are set to be equal to an enum (with the same name)
m = re.match('^ *# *include *["<](?P<name>[\w_.-/]+)[">].*', line)
if m:
# Find this file
found = False
for w in [w for w in os.walk(include_root)]:
for f in w[2]:
curr = os.path.join(w[0], f)
if curr.endswith(m.group('name')) and curr not in seen_headers:
headers.append(curr)
found = True
break
if found: break
#assert found, 'Could not find header: ' + m.group('name')
if len(defines) > 0:
def lookup(value):
try:
while not unicode(value).isnumeric():
value = defines[value]
return value
except:
pass
try: # 0x300 etc.
value = eval(value)
return value
except:
pass
try: # CONST1|CONST2
parts = map(lookup, value.split('|'))
value = reduce(lambda a, b: a|b, map(eval, parts))
return value
except:
pass
return None
for key, value in defines.items():
value = lookup(value)
if value is not None:
defines[key] = str(value)
else:
del defines[key]
#print >> sys.stderr, 'new defs:', str(defines).replace(',', ',\n '), '\n\n'
settings.setdefault('C_DEFINES', {}).update(defines)
# libraries
libraries = args.libraries[0].split(',') if len(args.libraries) > 0 else []
# Compile the assembly to Javascript.
if settings.get('RELOOP'): shared.Building.ensure_relooper()
emscript(args.infile, settings, args.outfile, libraries)
if __name__ == '__main__':
parser = optparse.OptionParser(
usage='usage: %prog [-h] [-H HEADERS] [-o OUTFILE] [-c COMPILER_ENGINE] [-s FOO=BAR]* infile',
description=('You should normally never use this! Use emcc instead. '
'This is a wrapper around the JS compiler, converting .ll to .js.'),
epilog='')
parser.add_option('-H', '--headers',
default=[],
action='append',
help='System headers (comma separated) whose #defines should be exposed to the compiled code.')
parser.add_option('-L', '--libraries',
default=[],
action='append',
help='Library files (comma separated) to use in addition to those in emscripten src/library_*.')
parser.add_option('-o', '--outfile',
default=sys.stdout,
help='Where to write the output; defaults to stdout.')
parser.add_option('-c', '--compiler',
default=shared.COMPILER_ENGINE,
help='Which JS engine to use to run the compiler; defaults to the one in ~/.emscripten.')
parser.add_option('-s', '--setting',
dest='settings',
default=[],
action='append',
metavar='FOO=BAR',
help=('Overrides for settings defined in settings.js. '
'May occur multiple times.'))
parser.add_option('-j', '--jcache',
action='store_true',
default=False,
help=('Enable jcache (ccache-like caching of compilation results, for faster incremental builds).'))
# Convert to the same format that argparse would have produced.
keywords, positional = parser.parse_args()
if len(positional) != 1:
raise RuntimeError('Must provide exactly one positional argument.')
keywords.infile = os.path.abspath(positional[0])
if isinstance(keywords.outfile, basestring):
keywords.outfile = open(keywords.outfile, 'w')
compiler_engine = keywords.compiler
jcache = keywords.jcache
temp_files.run_and_clean(lambda: main(keywords))
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