code stringlengths 3 6.57k |
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open("./tokens.txt", "w") |
close() |
Discord() |
int(input("Enter amount of tokens to generate: ") |
base64.b64encode((input("Enter ID: ") |
encode("ascii") |
str(id) |
range(amountToGen) |
threading.Thread(target=token.generate) |
start() |
PostForm(forms.ModelForm) |
__init__(self, optional_words: List[str]=[], remove_words: List[str]=[]) |
self.might_sensitive_words.append(f'O: {word}') |
self.might_sensitive_words.remove(word) |
_search(url: str) |
requests.get(url, headers={'User-Agent': 'Mozilla'}) |
_check_sensitive_level(comment: str, by_optional_word: bool=False) |
any(string in comment for string in high) |
any(string in comment for string in medium) |
_get_comments(cls, url: str, is_local: bool) |
cls._search(url) |
open(url, 'r') |
read() |
parsel.Selector(html_struct) |
element.xpath('//comment() |
getall() |
return_might_sensitive_comments(self, url: str, is_local: bool, return_tags: bool=False) |
asyncio.run(self._get_comments(url, is_local) |
re.match('<[^>]*>', comment.replace('<!--', '') |
replace('-->', '') |
might_sensitive_word.replace('O: ', '') |
lower() |
comment.lower() |
comment.lower() |
self._check_sensitive_level(comment, by_optional_word='O: ' in might_sensitive_word) |
logging.getLogger(__name__) |
vol.Optional(CONF_URL, default=DEFAULT_URL) |
setup_platform(hass, config, add_entities, discovery_info=None) |
config.get(CONF_URL) |
xmlrpc.client.ServerProxy(url) |
supervisor_server.supervisor.getAllProcessInfo() |
_LOGGER.error("Could not connect to Supervisord") |
SupervisorProcessSensor(info, supervisor_server) |
SupervisorProcessSensor(SensorEntity) |
__init__(self, info, server) |
name(self) |
self._info.get("name") |
state(self) |
self._info.get("statename") |
available(self) |
extra_state_attributes(self) |
self._info.get("description") |
self._info.get("group") |
update(self) |
self._info.get("group") |
self._info.get("name") |
_LOGGER.warning("Supervisord not available") |
InferringRouter() |
router.on_event("startup") |
repeat_every(seconds=60, raise_exceptions=True) |
scan_queues_on_servers() |
DatabaseSession() |
crud.plot_queue.get_multi(db) |
tasks.scan_plotting.delay(plot_queue.id) |
db.close() |
cbv(router) |
TransferCBV(BaseAuthCBV) |
router.post("/") |
create_transfer(self, data: schemas.TransferCreate) |
crud.plot.get(self.db, id=data.plot_id) |
HTTPException(404, "Plot with such id is not found") |
HTTPException(403, "Can not transfer plotting and pending plots") |
crud.directory.get(self.db, id=data.destination_directory_id) |
HTTPException(404, "Directory with such id is not found") |
data.dict() |
crud.transfer.create(self.db, obj_in=data_extended) |
schemas.TransferReturn.from_orm(transfer) |
router.get("/") |
deps.get_filtration_data(models.Transfer) |
crud.transfer.get_multi(self.db, filtration=filtration) |
time.time() |
open('data/answer-word-list.txt', mode='r') |
f.read() |
split('\n') |
open('data/valid-word-list.txt', mode='r') |
f.read() |
split('\n') |
len(set(word) |
log_list(word_list, "word_list") |
list(word_1) |
enumerate(word_list_for_word_2) |
list(word_2) |
enumerate(word_list_for_word_3) |
list(word_3) |
enumerate(word_list_for_word_4) |
list(word_4) |
print([word_1, word_2, word_3, word_4]) |
enumerate(word_list_for_word_5) |
result.append(sorted(words) |
log_list(result, "results are") |
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