code stringlengths 3 6.57k |
|---|
_finger_fail(self, finger, master_key) |
salt.utils.pem_finger(master_key, sum_type=self.opts['hash_type']) |
sys.exit(42) |
Crypticle(object) |
hashlib.sha256() |
__init__(self, opts, key_string, key_size=192) |
self.extract_keys(self.key_string, key_size) |
salt.payload.Serial(opts) |
generate_key_string(cls, key_size=192) |
os.urandom(key_size // 8 + cls.SIG_SIZE) |
base64.b64encode(key) |
b64key.decode('utf-8') |
b64key.replace('\n', '') |
extract_keys(cls, key_string, key_size) |
key_string.decode('base64') |
len(key) |
encrypt(self, data) |
len(data) |
chr(pad) |
os.urandom(self.AES_BLOCK_SIZE) |
AES.new(aes_key, AES.MODE_CBC, iv_bytes) |
cypher.encrypt(data) |
hmac.new(hmac_key, data, hashlib.sha256) |
digest() |
decrypt(self, data) |
hmac.new(hmac_key, data, hashlib.sha256) |
digest() |
len(mac_bytes) |
len(sig) |
log.debug('Failed to authenticate message') |
AuthenticationError('message authentication failed') |
zip(mac_bytes, sig) |
ord(zipped_x) |
ord(zipped_y) |
log.debug('Failed to authenticate message') |
AuthenticationError('message authentication failed') |
AES.new(aes_key, AES.MODE_CBC, iv_bytes) |
cypher.decrypt(data) |
ord(data[-1]) |
dumps(self, obj) |
self.encrypt(self.PICKLE_PAD + self.serial.dumps(obj) |
loads(self, data) |
self.decrypt(data) |
data.startswith(self.PICKLE_PAD) |
self.serial.loads(data[len(self.PICKLE_PAD) |
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "booktrade.settings") |
get_wsgi_application() |
matplotlib.use("Agg") |
np.set_printoptions(threshold=np.nan) |
freeze_dict(obj) |
isinstance(obj, dict) |
list(obj.items() |
dict_items.append((FROZEN_TAG, True) |
tuple([(k, freeze_dict(v) |
unfreeze_dict(obj) |
isinstance(obj, tuple) |
if (FROZEN_TAG, True) |
dict((k, unfreeze_dict(v) |
get_lang_code_dicts() |
re.compile('[%s]' % bad_chars) |
open("data/lang_codes.txt") |
f.read() |
data.split("\n") |
line.split() |
rgx.sub('', line[0]) |
rgx.sub('', line[2]) |
lang_to_code.iteritems() |
read_conll(treebank_path, langs, code_to_lang, train_or_dev, tgt_size=None, test=False) |
os.listdir(treebank_path + "UD_" + code_to_lang[lang]) |
file.endswith("train.conllu") |
os.path.join(treebank_path + "UD_" + code_to_lang[lang], file) |
os.listdir(treebank_path + "UD_" + code_to_lang[lang]) |
file.endswith("dev.conllu") |
os.path.join(treebank_path+ "UD_" + code_to_lang[lang], file) |
open(filepath) |
f.readlines() |
join(data) |
split("\n \n") |
parse(sent) |
min(tgt_size, len(ud) |
dict(word['feats']) |
word_tags.update({'POS':word['upostag']}) |
freeze_dict(word_tags) |
unique.append(word_tags) |
sent_text.append(word['form']) |
sent_tags.append(freeze_dict(word_tags) |
all_text.append(sent_text) |
all_tags.append(sent_tags) |
zip(all_text, all_tags) |
addNullLabels(annot_sents, langs, unique_tags) |
unfreeze_dict(tags) |
new_tags.append(freeze_dict(tag_dict) |
sortbylength(data, lang_ids, maxlen=500) |
range(len(src) |
sorted(indexed_src, key=lambda x: -len(x[1]) |
len(item[1]) |
len(item[1]) |
zip(sorted_src, sorted_tgt) |
get_train_order(training_data, batch_size, startIdx=0) |
len(elem[0]) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.