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utils.py
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utils.py
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import os
import re
import json
from re_patterns import *
from hashlib import sha1
from glob import glob
from progressbar import ProgressBar
from collections import defaultdict
import lmdb
import pdb
def log(msg, msg_type='INFO'):
if msg_type == 'INFO':
prefix = ''
elif msg_type == 'WARNING':
prefix = '\033[33mWARNING: '
elif msg_type == 'ERROR':
prefix = '\033[91mERROR: '
suffix = '\033[0m'
print(prefix + str(msg) + suffix)
comment_pattern = re.compile(r'(?<!")(?P<start>\(\*).*?(?P<end>(\*\))|(?=\(\*))(?!")', re.DOTALL)
def remove_comments(code):
characters = []
num_left = 0
in_string = False
i = 0
while i < len(code) - 1:
if code[i] == '"':
in_string = not in_string
if not in_string and code[i : i + 2] == '(*':
num_left += 1
i += 2
elif not in_string and num_left > 0 and code[i : i + 2] == '*)':
num_left -= 1
i += 2
elif num_left == 0:
characters.append(code[i])
i += 1
else:
i += 1
characters.append(code[-1])
code_without_comment = ''.join(characters)
return code_without_comment
def normalize_spaces(s):
return re.sub(r'\s+', ' ', s, flags=re.DOTALL)
def get_code(coq_code):
def loc2code(bp, ep):
code = coq_code[bp : ep]
try:
code = code.strip().decode('utf-8')
except UnicodeDecodeError:
code = code.decode(chardet.detect(code)['encoding']).strip()
code = normalize_spaces(remove_comments(code))
return code
return loc2code
class SexpCache:
def __init__(self, db_path, readonly=False):
if readonly:
self.env = lmdb.open(db_path, map_size=1e11, readonly=True, readahead=False, lock=False, max_readers=1024)
else:
self.env = lmdb.open(db_path, map_size=1e11, writemap=True, readahead=False, max_readers=1024)
def dump(self, sexp):
sexp_bytes = sexp.encode('utf-8')
digest = sha1(sexp_bytes).hexdigest()
key = digest.encode('utf-8')
with self.env.begin(write=True) as txn:
txn.put(key, sexp_bytes, dupdata=False, overwrite=False)
return digest
def __getitem__(self, key):
with self.env.begin() as txn:
return txn.get(key.encode('utf-8')).decode('utf-8')
def add_ml_path(paths, serapi, sexp_cache):
parsed_paths = [match.group() for match in ML_PATH_PATTERN.finditer(paths)]
cmds = []
for path in parsed_paths[::-1]:
cmd = 'Add ML Path "%s".' % path
_, ast = serapi.execute(cmd, return_ast=True)
cmds.append((cmd, 'VernacAddMLPath', sexp_cache.dump(ast)))
return cmds
def path_conflict(succ, prev):
suffix_physical = None
suffix_logical = None
if succ[0].startswith(prev[0]):
suffix_logical = succ[0][len(prev[0]):]
if succ[1].startswith(prev[1]):
suffix_physical = succ[1][len(prev[1]):]
if suffix_physical is None:
return False
if suffix_logical is None:
return True
return [s for s in suffix_logical.split('.') if s != ''] != [s for s in suffix_physical.split('/') if s != '']
def add_load_path(paths, serapi, pwd, sexp_cache):
# parse the paths
parsed_paths = []
built_in = False
for match in LOAD_PATH_PATTERN.finditer(paths):
logical_path = match['logical_path'].strip().replace('<>', '')
physical_path = match['physical_path'].strip()
implicit = match['implicit'].strip()
if logical_path == '' and physical_path.endswith(pwd):
built_in = True
parsed_paths.append([logical_path, physical_path, implicit, built_in, False])
# check for any conflict
for i in range(len(parsed_paths) - 1):
conflict = path_conflict(parsed_paths[-1], parsed_paths[i])
assert parsed_paths[i][3] or not conflict
parsed_paths[i][4] = conflict or parsed_paths[i][4]
sorted_paths = [path for path in parsed_paths if not path[4]][::-1]
cmds = []
for logical_path, physical_path, implicit, built_in, conflict in sorted_paths:
assert not conflict
rec = 'Rec ' if implicit == 'true' else ''
if logical_path == '':
cmd = 'Add %sLoadPath "%s".' % (rec, physical_path)
else:
cmd = 'Add %sLoadPath "%s" as %s.' % (rec, physical_path, logical_path)
_, ast = serapi.execute(cmd, return_ast=True)
cmds.append((cmd, 'VernacAddLoadPath', sexp_cache.dump(ast)))
return cmds
def set_paths(meta, serapi, sexp_cache):
pwd = PWD_PATTERN.search(meta)['pwd']
cmd = 'Cd "%s".' % pwd
_, ast = serapi.execute(cmd, return_ast=True)
vernac_cmds = []
vernac_cmds.append((cmd, 'VernacChdir', sexp_cache.dump(ast)))
ml_paths = ML_PATHS_PATTERN.search(meta)['ml_paths']
for cmd in add_ml_path(ml_paths, serapi, sexp_cache):
vernac_cmds.append(cmd)
load_paths = LOAD_PATHS_PATTERN.search(meta)['load_paths']
for cmd in add_load_path(load_paths, serapi, pwd, sexp_cache):
vernac_cmds.append(cmd)
return vernac_cmds
def extract_code(meta, loc2code):
coq_code = []
for match_loc in LOC_PATTERN.finditer(meta):
tags = defaultdict(list)
for match_tag in TAG_PATTERN.finditer(match_loc.group()):
tag = match_tag['tag'].strip()
content = match_tag['content'].strip()
tags[tag].append(content)
for tag, content in tags.items():
if len(content) == 1:
tags[tag] = content[0]
else:
pdb.set_trace()
if tags['VERNAC_TYPE'] == 'VernacProof' and 'END_TACTIC' not in tags:
continue
loc = PARSE_LOC_PATTERN.search(tags['LOC'])
code_line = loc2code(int(loc['bp']), int(loc['ep']))
coq_code.append((code_line, tags))
return coq_code
def dst_filename(src, data_path):
return os.path.join(data_path, *os.path.splitext(src)[0].split(os.path.sep)[1:])
def update_env(env, env_delta):
# add
env['constants'].extend(env_delta['add']['constants'])
env['inductives'].extend(env_delta['add']['inductives'])
# subtract
to_remove = {v['physical_path']
for v in env_delta['subtract']['constants'] + env_delta['subtract']['inductives']}
env['constants'] = [const for const in env['constants'] if const['physical_path'] not in to_remove]
env['inductives'] = [induct for induct in env['inductives'] if induct['physical_path'] not in to_remove]
return env
def iter_proofs(data_root, callback, include_synthetic=False, show_progress=False):
def iter_proofs_in_file(filename, file_data):
env = {'constants': [], 'inductives': []}
for proof_data in file_data['proofs']:
env = update_env(env, proof_data['env_delta'])
del proof_data['env_delta']
proof_data['env'] = env
callback(filename, proof_data)
if include_synthetic and 'synthetic_proofs' in file_data and proof_data['name'] in file_data['synthetic_proofs']:
for subprf_data in file_data['synthetic_proofs'][proof_data['name']]:
subprf_data['env'] = env
callback(filename, subprf_data)
iter_coq_files(data_root, iter_proofs_in_file, show_progress)
def iter_coq_files(data_root, callback, show_progress=False):
coq_files = glob(os.path.join(data_root, '**/*.json'), recursive=True)
bar = ProgressBar(max_value=len(coq_files))
for i, f in enumerate(coq_files):
file_data = json.load(open(f))
callback(f, file_data)
if show_progress:
bar.update(i)
def iter_sexp_cache(db_path, callback):
env = lmdb.open(db_path, map_size=1e11, readonly=True, readahead=True, lock=False)
bar = ProgressBar(max_value=env.stat()['entries'])
with env.begin() as txn:
cursor = txn.cursor()
for i, (key, value) in enumerate(cursor):
callback(i, key, value.decode('utf-8'))
bar.update(i)