def do_stuff_nocache(*args, **kwargs):
...
@lru_cache
def do_stuff(*args, **kwargs):
return do_stuff_nocache(*args, **kwargs)@lru_cache
def do_stuff(*args, **kwargs):
...
print(do_stuff.__wrapped__(*args, **kwargs))do_stuff.clear_cache() но это очистит кэш вообще, что, скорее всего, нежелательно.
SELECT user_id, join_date EXTRACT(DAY FROM date) as day FROM users VALUES (?, ?)from confusable_homoglyphs.confusables import is_confusable
wtf = 'YOᑌ ᑎᗩᗰE 42'
is_good = []
result = []
for c in wtf:
data = is_confusable(c, preferred_aliases=[], greedy=True)
if data:
data = data[0]
alias = data['alias']
if alias in ('LATIN', 'COMMON'):
data = False
if data:
is_good.append('!')
print(data)
result.append(data['homoglyphs'][0]['c'])
else:
is_good.append(' ')
result.append(c)
print()
print(''.join(result))
print(''.join(is_good))import torch
language = 'ru'
model_id = 'v3_1_ru'
sample_rate = 48000
speaker = 'xenia'
device = torch.device('cpu')
model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models',
model='silero_tts',
language=language,
speaker=model_id)
model.to(device) # gpu or cpu
audio = model.apply_tts(text=example_text,
speaker=speaker,
sample_rate=sample_rate)CREATE TABLE IF NOT EXISTS accounts (
id INTEGER PRIMARY KEY AUTOINCREMENT,
users_name TEXT,
acc_id INTEGER
)" "*(len(str(len(filenames)))-len(str(i+1)))max_index_len = len(str(len(filenames)))
m = '\n'.join([
f"{i:>{max_index_len}}. {filename}"
for i, filename in enumerate(filenames, 1)
])import nest_asyncio
nest_asyncio.apply()await message.reply(chat_id,f"Привет, {user_full_name}!\n"
f"Введите ваше имя :",reply_markup = nav.mainMenu)Traceback (most recent call last): только одна запись относится непосредственно к твоему коду: File "d:\telegram_bot\bot.py", line 79, in start_handler
await message.reply(chat_id,f"Привет, {user_full_name}!\n"venv\lib\site-packages\aiogram. Значит, дело именно в этой строке.