id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
5,507 | import json
from uuid import uuid4
import requests
from aws_lambda_powertools.utilities.idempotency import (
DynamoDBPersistenceLayer,
IdempotencyConfig,
idempotent,
)
class PaymentError(Exception):
def create_subscription_payment(user: str, product_id: str) -> dict:
def handler(event, context) -> dict:
... | null |
5,508 | import base64
import binascii
import json
from dataclasses import asdict, dataclass, field, is_dataclass
from uuid import uuid4
import powertools_base64_jmespath_schema as schemas
from jmespath.exceptions import JMESPathTypeError
from aws_lambda_powertools.utilities.typing import LambdaContext
from aws_lambda_powertool... | null |
5,509 | import base64
import binascii
import zlib
from jmespath.exceptions import JMESPathTypeError
from jmespath.functions import signature
from aws_lambda_powertools.utilities.jmespath_utils import (
PowertoolsFunctions,
extract_data_from_envelope,
)
custom_jmespath_options = {"custom_functions": CustomFunctions()}
d... | null |
5,510 | from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
metrics = DatadogMetrics()
def book_flight(flight_id: str, **kwargs):
# logic to book flight
...
metrics.add_metric(name="SuccessfulBooking", value=1)
def lambda_handle... | null |
5,511 | from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
metrics = DatadogMetrics()
def lambda_handler(event: dict, context: LambdaContext):
metrics.add_metric(name="SuccessfulBooking", value=1, tag1="powertools", tag2="python") | null |
5,512 | from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
def lambda_handler(event: dict, context: LambdaContext):
return | null |
5,513 | from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
def lambda_handler(event: dict, context: LambdaContext):
# no metrics being created will now raise SchemaValidationError
return | null |
5,514 | from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
metrics = DatadogMetrics(flush_to_log=True)
def lambda_handler(event: dict, context: LambdaContext):
metrics.add_metric(name="SuccessfulBooking", value=1) | null |
5,515 | import time
from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
metrics = DatadogMetrics()
def lambda_handler(event: dict, context: LambdaContext):
metrics.add_metric(name="SuccessfulBooking", value=1, timestamp=int(time.time())... | null |
5,516 | from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
metrics = DatadogMetrics()
def lambda_handler(event: dict, context: LambdaContext):
metrics.add_metric(name="SuccessfulBooking", value=1) | null |
5,517 | from aws_lambda_powertools.metrics.provider.datadog import DatadogMetrics
from aws_lambda_powertools.utilities.typing import LambdaContext
metrics = DatadogMetrics()
metrics.set_default_tags(tag1="powertools", tag2="python")
def lambda_handler(event: dict, context: LambdaContext):
metrics.add_metric(name="Successf... | null |
5,518 | import add_datadog_metrics
def test_log_metrics(capsys):
add_datadog_metrics.lambda_handler({}, {})
log = capsys.readouterr().out.strip() # remove any extra line
assert "SuccessfulBooking" in log # basic string assertion in JSON str | null |
5,519 | from dataclasses import dataclass, field
from typing import Callable
from uuid import uuid4
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.jmespath_utils import (
envelopes,
extract_data_from_envelope,
)
from aws_lambda_powertools.utilities.typ... | null |
5,520 | from dataclasses import dataclass, field
from typing import Callable
from uuid import uuid4
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.jmespath_utils import (
envelopes,
extract_data_from_envelope,
)
from aws_lambda_powertools.utilities.typ... | null |
5,521 | import base64
from dataclasses import dataclass, field
from typing import Any, Callable, List
from uuid import uuid4
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.jmespath_utils import (
envelopes,
extract_data_from_envelope,
)
from aws_lambda... | null |
5,522 | import base64
from dataclasses import dataclass, field
from typing import Any, Callable, List
from uuid import uuid4
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.jmespath_utils import (
envelopes,
extract_data_from_envelope,
)
from aws_lambda... | null |
5,523 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing import LambdaContext
def middleware_afte... | null |
5,524 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing import LambdaContext
app = APIGatewayRest... | null |
5,525 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing import LambdaContext
app = APIGatewayRest... | null |
5,526 | import json
from typing import Callable
import boto3
import combining_powertools_utilities_schema as schemas
import requests
from aws_lambda_powertools import Logger, Tracer
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.event_handler.exceptions import InternalServerEr... | null |
5,527 | import json
from typing import Callable
import boto3
import combining_powertools_utilities_schema as schemas
import requests
from aws_lambda_powertools import Logger, Tracer
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.event_handler.exceptions import InternalServerEr... | null |
5,528 | import json
from typing import Callable
import boto3
import combining_powertools_utilities_schema as schemas
import requests
from aws_lambda_powertools import Logger, Tracer
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.event_handler.exceptions import InternalServerEr... | null |
5,529 | import json
from typing import Callable
import boto3
import combining_powertools_utilities_schema as schemas
import requests
from aws_lambda_powertools import Logger, Tracer
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.event_handler.exceptions import InternalServerEr... | null |
5,530 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing import LambdaContext
def middleware_with... | null |
5,531 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing import LambdaContext
def create_product(... | null |
5,533 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools import Tracer
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing ... | null |
5,534 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools import Tracer
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing ... | null |
5,535 | import time
from typing import Callable
import requests
from requests import Response
from aws_lambda_powertools import Tracer
from aws_lambda_powertools.event_handler import APIGatewayRestResolver
from aws_lambda_powertools.middleware_factory import lambda_handler_decorator
from aws_lambda_powertools.utilities.typing ... | null |
5,536 | import requests
from requests import Response
from aws_lambda_powertools import Logger, Tracer
from aws_lambda_powertools.event_handler import LambdaFunctionUrlResolver
from aws_lambda_powertools.logging import correlation_paths
from aws_lambda_powertools.utilities.typing import LambdaContext
def get_todos():
todo... | null |
5,537 | import requests
from requests import Response
from aws_lambda_powertools import Logger, Tracer
from aws_lambda_powertools.event_handler import LambdaFunctionUrlResolver
from aws_lambda_powertools.logging import correlation_paths
from aws_lambda_powertools.utilities.typing import LambdaContext
app = LambdaFunctionUrlRes... | null |
5,538 | import datetime
import json
import os
import platform
from importlib.metadata import version
import boto3
from pydantic import HttpUrl
from aws_lambda_powertools import Logger, Metrics, Tracer
from aws_lambda_powertools.utilities.parser import BaseModel, envelopes, event_parser
from aws_lambda_powertools.utilities.typi... | null |
5,539 | import datetime
import json
import os
import platform
from importlib.metadata import version
import boto3
from pydantic import HttpUrl
from aws_lambda_powertools import Logger, Metrics, Tracer
from aws_lambda_powertools.utilities.parser import BaseModel, envelopes, event_parser
from aws_lambda_powertools.utilities.typi... | null |
5,540 | import datetime
import json
import os
import platform
from importlib.metadata import version
import boto3
from pydantic import HttpUrl
from aws_lambda_powertools import Logger, Metrics, Tracer
from aws_lambda_powertools.utilities.parser import BaseModel, envelopes, event_parser
from aws_lambda_powertools.utilities.typi... | null |
5,541 |
def handler(event, context):
return {
"message": "success"
} | null |
5,542 | from aws_lambda_powertools import (Logger, Metrics, Tracer)
def handler(event, context):
return {
"message": "success"
} | null |
5,543 |
def cv2ImgAddText(img, text, left, top, textColor=(0, 255, 0), textSize=20):
if (isinstance(img, np.ndarray)): # 判断是否OpenCV图片类型
img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
# 创建一个可以在给定图像上绘图的对象
draw = ImageDraw.Draw(img)
# 字体的格式
fontStyle = ImageFont.truetype(
'C:/Wi... | null |
5,544 |
def start_listen():
with Listener(on_press=on_press, on_release=on_release) as listener:
listener.join() | null |
5,545 | from torch.autograd import Variable
import torch
import numpy as np
def 打印抽样数据(数_词表,数据, 输出_分):
临 = 数据[0]
欲打印=[数_词表[str(临[i,0])] for i in range(0,临.shape[0])]
临 = 输出_分.cpu().numpy()
欲打印2 = [数_词表[str(临[i])] for i in range(0,临.shape[0])]
print("抽样输出",欲打印)
print("目标输出", 欲打印2)
# for i in range(1... | null |
5,546 | from torch.autograd import Variable
import torch
import numpy as np
def nopeak_mask(size, device):
np_mask = np.triu(np.ones((1, size, size)),
k=1).astype('uint8')
np_mask = Variable(torch.from_numpy(np_mask) == 0)
np_mask = np_mask.cuda(device)
return np_mask | null |
5,547 | from torch.autograd import Variable
import torch
import numpy as np
def 打印测试数据(数_词表,数据, 输人_分,标签):
临 = 数据[0]
欲打印=[数_词表[str(临[i])] for i in range(临.size)]
打印=""
for i in range(len(欲打印)):
打印=打印+欲打印[i]
临 = 输人_分.cpu().numpy()[0]
欲打印2 = [数_词表[str(临[i])]for i in range(输人_分.size(1))]
# 欲... | null |
5,548 | from torch.autograd import Variable
import torch
import numpy as np
def 打印测试数据_A(数_词表,数据, 输人_分):
if 数据.shape[0]!=0:
临 = 数据[0]
欲打印=[数_词表[str(临[i])] for i in range(临.size)]
打印=""
for i in range(len(欲打印)):
打印=打印+欲打印[i]
临 = 输人_分.cpu().numpy()[0]
欲打印2 = [数... | null |
5,549 | import torch
import torchvision
import json
from PIL import Image
from resnet_utils import myResnet
import numpy as np
import torch.nn as nn
from Sublayers import Norm, 全连接层
import math
import torch.nn.functional as F
from 模型_策略梯度 import Transformer
from Batch import create_masks
def gelu(x):
return 0.5 * x * (1... | null |
5,550 | import torch
import torchvision
import json
from PIL import Image
from resnet_utils import myResnet
import numpy as np
import torch.nn as nn
from Sublayers import Norm, 全连接层
import math
import torch.nn.functional as F
from 模型_策略梯度 import Transformer
from Batch import create_masks
def random_dic(dicts):
dict_key_... | null |
5,551 | import os
import numpy as np
import torch as T
import torch.nn as nn
import torch.optim as optim
from torch.distributions.categorical import Categoricalrt torch.nn as nn
from Layers import DecoderLayer
from Embed import Embedder, PositionalEncoder
from Sublayers import Norm, 全连接层
import copy
import os.path
import torch... | null |
5,552 | import os
import numpy as np
import torch as T
import torch.nn as nn
import torch.optim as optim
from torch.distributions.categorical import Categoricalrt torch.nn as nn
from Layers import DecoderLayer
from Embed import Embedder, PositionalEncoder
from Sublayers import Norm, 全连接层
import copy
import os.path
import torch... | null |
5,553 | import os
import numpy as np
import torch as T
import torch.nn as nn
import torch.optim as optim
from torch.distributions.categorical import Categoricalrt torch.nn as nn
from Layers import DecoderLayer
from Embed import Embedder, PositionalEncoder
from Sublayers import Norm, 全连接层
import copy
import os.path
import torch... | null |
5,554 | import os
import numpy as np
import torch as T
import torch.nn as nn
import torch.optim as optim
from torch.distributions.categorical import Categoricalrt torch.nn as nn
from Layers import DecoderLayer
from Embed import Embedder, PositionalEncoder
from Sublayers import Norm, 全连接层
import copy
import os.path
import torch... | null |
5,555 | import os
import numpy as np
import torch as T
import torch.nn as nn
import torch.optim as optim
from torch.distributions.categorical import Categoricalrt torch.nn as nn
from Layers import DecoderLayer
from Embed import Embedder, PositionalEncoder
from Sublayers import Norm, 全连接层
import copy
import os.path
import torch... | null |
5,556 | import socket
import json
import sys
import time, threading
import cv2
import torch
import numpy as np
from 辅助功能 import 状态信息综合
import torchvision
from resnet_utils import myResnet
from 模型_策略梯度 import 智能体
from Batch import create_masks
import subprocess
from PyQt5.QtWidgets import QApplication
from PIL import Image, Ima... | null |
5,557 | import json
import numpy as np
def 读取训练数据(路径):
输入表单 = []
输出表单 = []
with open(路径, encoding='utf-8') as f:
while True:
行 = f.readline()
if not 行:
break
json_行 = json.loads(行)
内容 = json_行['内容______']
内容_输入 = 内容['输入______']
... | null |
5,558 | import json
import numpy as np
def 写出词标号引索(总词表, 词_数表路径, 数_词表路径):
print("正在写出词的标号引索数据可能需要较长时间")
标号_到_字符 = {}
字符_到_标号 = {}
标号_字符 = []
# 标号_到_字符 = list(set(总表单))
i = 0
j = 0
for 词表 in 总词表:
j = j + 1
for 字符 in 词表:
if 字符 not in 标号_字符:
标号_字符.app... | null |
5,559 | import json
import numpy as np
def 读出引索(词_数表路径, 数_词表路径):
with open(词_数表路径, encoding='utf-8') as f:
词_数表= json.load(f)
with open(数_词表路径, encoding='utf-8') as f:
数_词表 = json.load(f)
return 词_数表, 数_词表 | null |
5,560 | import json
import numpy as np
def 生成训练用numpy数组(输入表单, 词_数表, numpy数组路径):
表_1 = []
表_2 = []
i = 0
临 = ''
for 表单 in 输入表单:
表_3 = []
for 字符 in 表单:
if (u'\u0041' <= 字符 <= u'\u005a') or (u'\u0061' <= 字符 <= u'\u007a'):
if 临 == '':
临 = 字符
... | null |
5,561 | import json
import numpy as np
def 生成测试用numpy数组(输入表单, 词_数表):
表_1 = []
for 字符 in 输入表单:
if 字符.lower() in 词_数表:
表_1.append(词_数表[字符])
else:
表_1.append(14999)
输入np = np.array(表_1)
return (输入np) | null |
5,562 | import json
import numpy as np
def 生成训练用numpy数组_A(输入表单, 词_数表, numpy数组路径):
表_1 = []
表_2 = []
i=0
临=''
for 表单 in 输入表单:
表_3=[]
for 字符 in 表单:
if (u'\u0041' <= 字符 <= u'\u005a') or (u'\u0061' <= 字符 <= u'\u007a'):
if 临 == '':
临 = 字符
... | null |
5,563 | import json
import numpy as np
def 读取训练数据_A(路径):
输入表单 = []
with open(路径, encoding='utf-8') as f:
while True:
行 = f.readline()
if not 行:
break
json_行 = json.loads(行)
内容 = json_行['input']
输入表单.append(内容)
return 输入表单 | null |
5,564 | import json
import numpy as np
def 生成测试用numpy数组_A(输入表单, 词_数表):
表_3 = []
临 = ''
for 字符 in 输入表单:
if 字符.lower() in 词_数表:
if (u'\u0041' <= 字符 <= u'\u005a') or (u'\u0061' <= 字符 <= u'\u007a'):
if 临 == '':
临 = 字符
else:
临... | null |
5,565 | import numpy as np
def 状态信息综合(图片张量,操作序列,trg_mask):
状态={}
状态['图片张量']=图片张量[np.newaxis, :]
状态['操作序列'] = 操作序列
状态['trg_mask']=trg_mask
return 状态 | null |
5,566 | import win32gui, win32ui, win32con
from PIL import Image
from pyminitouch import MNTDevice
def 取图(窗口名称):
# 获取后台窗口的句柄，注意后台窗口不能最小化
hWnd = win32gui.FindWindow(0,窗口名称) # 窗口的类名可以用Visual Studio的SPY++工具获取
# 获取句柄窗口的大小信息
left, top, right, bot = win32gui.GetWindowRect(hWnd)
width = right - left
height =... | null |
5,567 | import torch
import numpy as np
from torch.autograd import Variable
global max_src_in_batch, max_tgt_in_batch
The provided code snippet includes necessary dependencies for implementing the `batch_size_fn` function. Write a Python function `def batch_size_fn(new, count, sofar)` to solve the following problem:
Keep augm... | Keep augmenting batch and calculate total number of tokens + padding. |
5,568 | import os
import torchvision
from Batch import create_masks
from 辅助功能 import 状态信息综合
from 取训练数据 import *
from 杂项 import *
from resnet_utils import myResnet
from 运行辅助 import *
from pynput.keyboard import Controller, Key, Listener
from pynput import keyboard
import time, threading
from 模型_策略梯度 import 智能体
with Listener... | null |
5,569 | import os
import torchvision
from Batch import create_masks
from 辅助功能 import 状态信息综合
from 取训练数据 import *
from 杂项 import *
from resnet_utils import myResnet
from 运行辅助 import *
from pynput.keyboard import Controller, Key, Listener
from pynput import keyboard
import time, threading
from 模型_策略梯度 import 智能体
W键按下=False
S键按下=F... | null |
5,570 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import numpy as np
def gelu(x):
return 0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) | null |
5,571 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import numpy as np
def attention(q, k, v, d_k, mask=None, dropout=None):
scores = torch.matmul(q, k.transpose(-2, -1)) / math.sqrt(d_k)
if mask is not None:
mask = mask.unsqueeze(1)
scores = scores.masked_... | null |
5,572 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,573 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,574 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,575 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,576 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,577 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,578 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,579 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,580 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,581 | import asyncio
import operator
import re
import uuid
from html import unescape
from random import choice, shuffle
from . import LOGS
from telethon.errors.rpcerrorlist import (
BotMethodInvalidError,
ChatSendStickersForbiddenError,
)
from telethon.events import Raw
from telethon.tl.types import InputMediaPoll, P... | null |
5,582 | import re
from . import (
Button,
ULTConfig,
callback,
get_back_button,
get_languages,
get_string,
udB,
)
async def setlang(event):
languages = get_languages()
tultd = [
Button.inline(
f"{languages[ult]['natively']} [{ult.lower()}]",
data=f"set_{ult}"... | null |
5,583 | import re
from . import (
Button,
ULTConfig,
callback,
get_back_button,
get_languages,
get_string,
udB,
)
async def settt(event):
lang = event.data_match.group(1).decode("UTF-8")
languages = get_languages()
ULTConfig.lang = lang
udB.del_key("language") if lang == "en" else u... | null |
5,584 | import os
from telethon.errors.rpcerrorlist import UserNotParticipantError
from telethon.tl.custom import Button
from telethon.tl.functions.channels import GetFullChannelRequest
from telethon.tl.functions.messages import GetFullChatRequest
from telethon.tl.types import Channel, Chat
from telethon.utils import get_displ... | null |
5,585 | import os
from telethon.errors.rpcerrorlist import UserNotParticipantError
from telethon.tl.custom import Button
from telethon.tl.functions.channels import GetFullChannelRequest
from telethon.tl.functions.messages import GetFullChatRequest
from telethon.tl.types import Channel, Chat
from telethon.utils import get_displ... | null |
5,586 | import os
from telethon.errors.rpcerrorlist import UserNotParticipantError
from telethon.tl.custom import Button
from telethon.tl.functions.channels import GetFullChannelRequest
from telethon.tl.functions.messages import GetFullChatRequest
from telethon.tl.types import Channel, Chat
from telethon.utils import get_displ... | null |
5,587 | import os
from telethon.errors.rpcerrorlist import UserNotParticipantError
from telethon.tl.custom import Button
from telethon.tl.functions.channels import GetFullChannelRequest
from telethon.tl.functions.messages import GetFullChatRequest
from telethon.tl.types import Channel, Chat
from telethon.utils import get_displ... | null |
5,588 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,589 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,590 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,591 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,592 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,593 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,594 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,595 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,596 | from datetime import datetime
from pytz import timezone as tz
from telethon import Button, events
from telethon.errors.rpcerrorlist import MessageDeleteForbiddenError
from telethon.utils import get_display_name
from pyUltroid._misc import SUDO_M, owner_and_sudos
from pyUltroid.dB.base import KeyManager
from pyUltroid.f... | null |
5,597 | from datetime import datetime as dt
from telethon.events import NewMessage
from telethon.tl.types import (
Message,
MessageEntityMention,
MessageEntityMentionName,
User,
)
from telethon.utils import get_display_name
from pyUltroid.fns.helper import inline_mention, time_formatter
from . import asst, asst... | null |
5,598 | from datetime import datetime as dt
from telethon.events import NewMessage
from telethon.tl.types import (
Message,
MessageEntityMention,
MessageEntityMentionName,
User,
)
from telethon.utils import get_display_name
from pyUltroid.fns.helper import inline_mention, time_formatter
from . import asst, asst... | null |
5,599 | from telethon import events
from . import *
async def dueha(e):
user = await e.get_user()
if not user.is_self:
return
sm = udB.get_key("ON_MNGR_ADD")
if sm == "OFF":
return
if not sm:
sm = "Thanks for Adding me :)"
await e.reply(sm, link_preview=False) | null |
5,600 | import random
import aiohttp
from pyUltroid.dB import DEVLIST
from pyUltroid.fns.admins import admin_check
from . import *
async def dheh(e):
text = ["Yes", "NoU", "Maybe", "IDK"]
text = random.choice(text)
ri = e.reply_to_msg_id or e.id
await e.client.send_message(e.chat_id, text, reply_to=ri) | null |
5,601 | import random
import aiohttp
from pyUltroid.dB import DEVLIST
from pyUltroid.fns.admins import admin_check
from . import *
async def admin_check(event, require=None, silent: bool = False):
async def oqha(e):
if not await admin_check(e):
return
if match := e.pattern_match.group(1).strip():
text... | null |
5,602 | import random
import aiohttp
from pyUltroid.dB import DEVLIST
from pyUltroid.fns.admins import admin_check
from . import *
from .. import *
DEVLIST = [
719195224, # @xditya
1322549723, # @danish_00
1903729401, # @its_buddhhu
1303895686, # @Sipak_OP
611816596, # @Arnab431
1318486004, # @s... | null |
5,603 | import random
import aiohttp
from pyUltroid.dB import DEVLIST
from pyUltroid.fns.admins import admin_check
from . import *
async def do_joke(e):
e = await e.get_reply_message() if e.is_reply else e
link = "https://v2.jokeapi.dev/joke/Any?blacklistFlags=nsfw,religious,political,racist,sexist,explicit&type=singl... | null |
5,604 | import re
from telethon.errors.rpcerrorlist import UserNotParticipantError
from pyUltroid import _ult_cache
from . import *
async def dowj(e):
replied = await e.get_reply_message()
if replied:
user = replied.sender_id
else:
return await e.eor("Reply to a message...")
try:
await ... | null |
5,605 | import re
from telethon.errors.rpcerrorlist import UserNotParticipantError
from pyUltroid import _ult_cache
from . import *
async def callback_(event):
data = event.data_match.group(1).decode("utf-8")
if data not in _ult_cache.get("admin_callback", {}):
return
try:
perm = await event.client... | null |
5,606 | import random
from telethon import errors
from telethon.errors.rpcerrorlist import StickersetInvalidError
from telethon.tl.functions.messages import GetStickerSetRequest as GetSticker
from telethon.tl.functions.messages import UploadMediaRequest
from telethon.tl.functions.stickers import AddStickerToSetRequest as AddSt... | null |
5,607 | import random
from telethon import errors
from telethon.errors.rpcerrorlist import StickersetInvalidError
from telethon.tl.functions.messages import GetStickerSetRequest as GetSticker
from telethon.tl.functions.messages import UploadMediaRequest
from telethon.tl.functions.stickers import AddStickerToSetRequest as AddSt... | null |
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