id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
9,736 | import cv2
import torch
import torch.nn as nn
from torchvision.transforms import Compose
from ldm.modules.midas.midas.dpt_depth import DPTDepthModel
from ldm.modules.midas.midas.midas_net import MidasNet
from ldm.modules.midas.midas.midas_net_custom import MidasNet_small
from ldm.modules.midas.midas.transforms import R... | null |
9,747 | import torch
import torch.nn as nn
from .vit import (
_make_pretrained_vitb_rn50_384,
_make_pretrained_vitl16_384,
_make_pretrained_vitb16_384,
forward_vit,
)
def _make_scratch(in_shape, out_shape, groups=1, expand=False):
def _make_pretrained_efficientnet_lite3(use_pretrained, exportable=False):
def _m... | null |
9,750 | import torch
import torch.nn as nn
from torch.utils.checkpoint import checkpoint
from transformers import T5Tokenizer, T5EncoderModel, CLIPTokenizer, CLIPTextModel
import open_clip
from ldm.util import default, count_params
The provided code snippet includes necessary dependencies for implementing the `disabled_train`... | Overwrite model.train with this function to make sure train/eval mode does not change anymore. |
9,751 | import importlib
import torch
from torch import optim
import numpy as np
from inspect import isfunction
from PIL import Image, ImageDraw, ImageFont
def log_txt_as_img(wh, xc, size=10):
# wh a tuple of (width, height)
# xc a list of captions to plot
b = len(xc)
txts = list()
for bi in range(b):
... | null |
9,752 | import importlib
import torch
from torch import optim
import numpy as np
from inspect import isfunction
from PIL import Image, ImageDraw, ImageFont
def ismap(x):
if not isinstance(x, torch.Tensor):
return False
return (len(x.shape) == 4) and (x.shape[1] > 3) | null |
9,753 | import importlib
import torch
from torch import optim
import numpy as np
from inspect import isfunction
from PIL import Image, ImageDraw, ImageFont
def isimage(x):
if not isinstance(x,torch.Tensor):
return False
return (len(x.shape) == 4) and (x.shape[1] == 3 or x.shape[1] == 1) | null |
9,754 | import importlib
import torch
from torch import optim
import numpy as np
from inspect import isfunction
from PIL import Image, ImageDraw, ImageFont
def exists(x):
return x is not None
def default(val, d):
if exists(val):
return val
return d() if isfunction(d) else d | null |
9,755 | import importlib
import torch
from torch import optim
import numpy as np
from inspect import isfunction
from PIL import Image, ImageDraw, ImageFont
The provided code snippet includes necessary dependencies for implementing the `mean_flat` function. Write a Python function `def mean_flat(tensor)` to solve the following... | https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/nn.py#L86 Take the mean over all non-batch dimensions. |
9,756 | import importlib
import torch
from torch import optim
import numpy as np
from inspect import isfunction
from PIL import Image, ImageDraw, ImageFont
def count_params(model, verbose=False):
total_params = sum(p.numel() for p in model.parameters())
if verbose:
print(f"{model.__class__.__name__} has {total... | null |
9,757 | import torch
import torch.nn.functional as F
import math
from tqdm import tqdm
def expand_dims(v, dims):
"""
Expand the tensor `v` to the dim `dims`.
Args:
`v`: a PyTorch tensor with shape [N].
`dim`: a `int`.
Returns:
a PyTorch tensor with shape [N, 1, 1, ..., 1] and the total d... | Create a wrapper function for the noise prediction model. DPM-Solver needs to solve the continuous-time diffusion ODEs. For DPMs trained on discrete-time labels, we need to firstly wrap the model function to a noise prediction model that accepts the continuous time as the input. We support four types of the diffusion m... |
9,758 | import torch
import torch.nn.functional as F
import math
from tqdm import tqdm
The provided code snippet includes necessary dependencies for implementing the `interpolate_fn` function. Write a Python function `def interpolate_fn(x, xp, yp)` to solve the following problem:
A piecewise linear function y = f(x), using xp... | A piecewise linear function y = f(x), using xp and yp as keypoints. We implement f(x) in a differentiable way (i.e. applicable for autograd). The function f(x) is well-defined for all x-axis. (For x beyond the bounds of xp, we use the outmost points of xp to define the linear function.) Args: x: PyTorch tensor with sha... |
9,759 | import torch
import numpy as np
def append_dims(x, target_dims):
"""Appends dimensions to the end of a tensor until it has target_dims dimensions.
From https://github.com/crowsonkb/k-diffusion/blob/master/k_diffusion/utils.py"""
dims_to_append = target_dims - x.ndim
if dims_to_append < 0:
raise ... | null |
9,760 | import torch
import numpy as np
def spatial_norm_thresholding(x0, value):
# b c h w
s = x0.pow(2).mean(1, keepdim=True).sqrt().clamp(min=value)
return x0 * (value / s) | null |
9,761 | import torch
import torch.nn as nn
import numpy as np
import pytorch_lightning as pl
from torch.optim.lr_scheduler import LambdaLR
from einops import rearrange, repeat
from contextlib import contextmanager, nullcontext
from functools import partial
import itertools
from tqdm import tqdm
from torchvision.utils import ma... | Overwrite model.train with this function to make sure train/eval mode does not change anymore. |
9,762 | import torch
import torch.nn as nn
import numpy as np
import pytorch_lightning as pl
from torch.optim.lr_scheduler import LambdaLR
from einops import rearrange, repeat
from contextlib import contextmanager, nullcontext
from functools import partial
import itertools
from tqdm import tqdm
from torchvision.utils import ma... | null |
9,763 | import json
import pandas as pd
import json
def render_list(s):
str_list = s.strip("[]").split(",")
return [ss.strip("' ") for ss in str_list] | null |
9,764 | import os
import urllib.request
from datetime import datetime
count = 0
readme_file = open("./README.md", 'w')
readme_file.write("-" + " " + "[" + folder + "]" + "(#" + folder + ")" + "\n"
readme_file.close()
The provided code snippet includes necessary dependencies for implementing the `helper` function. Write a ... | 深度优先遍历folder中的pdf文件和文件夹，写入Readme. Args: folder (string): 需要遍历的文件夹路径 layer_index (int): 文件夹深度索引，决定字体大小 Returns: None |
9,765 |
class BaiduTranslator(Translator):
def __init__(self) -> None:
super().__init__()
endpoint = "http://api.fanyi.baidu.com"
path = "/api/trans/vip/translate"
self.url = endpoint + path
self.appid = conf().get("baidu_translate_app_id")
self.appkey = conf().get("baidu_t... | null |
9,766 | import os
import signal
import sys
import time
from channel import channel_factory
from common import const
from config import load_config
from plugins import *
import threading
def sigterm_handler_wrap(_signo):
def start_channel(channel_name: str):
}
def load_config():
[]
}
def run():
try:
... | null |
9,767 | import re, os, sys, subprocess, copy, traceback, logging
import requests
from . import config
def print_line(msg, oneLine = False):
if oneLine:
sys.stdout.write(' '*40 + '\r')
sys.stdout.flush()
else:
sys.stdout.write('\n')
sys.stdout.write(msg.encode(sys.stdin.encoding or 'utf8', '... | null |
9,768 | import time, re, io
import json, copy
import logging
from .. import config, utils
from ..components.contact import accept_friend
from ..returnvalues import ReturnValue
from ..storage import contact_change
from ..utils import update_info_dict
def update_chatroom(self, userName, detailedMember=False):
if not isinstan... | null |
9,769 | import os, time, re, io
import json
import mimetypes, hashlib
import logging
from collections import OrderedDict
from .. import config, utils
from ..returnvalues import ReturnValue
from ..storage import templates
from .contact import update_local_uin
async def send_raw_msg(self, msgType, content, toUserName):
url =... | null |
9,770 | import asyncio
import os, time, re, io
import threading
import json
import random
import traceback
import logging
import requests
from pyqrcode import QRCode
from .. import config, utils
from ..returnvalues import ReturnValue
from ..storage.templates import wrap_user_dict
from .contact import update_local_chatrooms, u... | null |
9,771 | import logging, traceback, sys, threading
from ..log import set_logging
from ..utils import test_connect
from ..storage import templates
async def auto_login(self, EventScanPayload=None,ScanStatus=None,event_stream=None,
hotReload=True, statusStorageDir='itchat.pkl',
enableCmdQR=False, picDir=None, qrCa... | null |
9,772 | import pickle, os
import logging
import requests
from ..config import VERSION
from ..returnvalues import ReturnValue
from ..storage import templates
from .contact import update_local_chatrooms, update_local_friends
from .messages import produce_msg
async def dump_login_status(self, fileDir=None):
fileDir = fileDir... | null |
9,773 | import time
import re
import io
import json
import copy
import logging
from .. import config, utils
from ..returnvalues import ReturnValue
from ..storage import contact_change
from ..utils import update_info_dict
def update_chatroom(self, userName, detailedMember=False):
if not isinstance(userName, list):
u... | null |
9,774 | import os, time, re, io
import json
import mimetypes, hashlib
import logging
from collections import OrderedDict
import requests
from .. import config, utils
from ..returnvalues import ReturnValue
from ..storage import templates
from .contact import update_local_uin
def send_raw_msg(self, msgType, content, toUserName):... | null |
9,775 | import os
import time
import re
import io
import threading
import json
import xml.dom.minidom
import random
import traceback
import logging
import requests
from pyqrcode import QRCode
from .. import config, utils
from ..returnvalues import ReturnValue
from ..storage.templates import wrap_user_dict
from .contact import ... | null |
9,776 | import logging, traceback, sys, threading
from ..log import set_logging
from ..utils import test_connect
from ..storage import templates
def auto_login(self, hotReload=False, statusStorageDir='itchat.pkl',
enableCmdQR=False, picDir=None, qrCallback=None,
loginCallback=None, exitCallback=None):
if no... | null |
9,777 | import pickle, os
import logging
import requests
from ..config import VERSION
from ..returnvalues import ReturnValue
from ..storage import templates
from .contact import update_local_chatrooms, update_local_friends
from .messages import produce_msg
def dump_login_status(self, fileDir=None):
def load_login_status(self, ... | null |
9,778 | import re
import time
import requests
import config
from bot.bot import Bot
from bot.chatgpt.chat_gpt_session import ChatGPTSession
from bot.session_manager import SessionManager
from bridge.context import Context, ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import co... | null |
9,779 | from common import const
class BaiduWenxinBot(Bot):
def __init__(self):
super().__init__()
wenxin_model = conf().get("baidu_wenxin_model") or "eb-instant"
if conf().get("model") and conf().get("model") == "wenxin-4":
wenxin_model = "completions_pro"
self.sessions = Sess... | create a bot_type instance :param bot_type: bot type code :return: bot instance |
9,780 | from bot.session_manager import Session
from common.log import logger
The provided code snippet includes necessary dependencies for implementing the `num_tokens_from_string` function. Write a Python function `def num_tokens_from_string(string: str, model: str) -> int` to solve the following problem:
Returns the number... | Returns the number of tokens in a text string. |
9,781 | from bot.session_manager import Session
from common.log import logger
from common import const
def num_tokens_by_character(messages):
"""Returns the number of tokens used by a list of messages."""
tokens = 0
for msg in messages:
tokens += len(msg["content"])
return tokens
=
The provided code s... | Returns the number of tokens used by a list of messages. |
9,782 | from bot.session_manager import Session
from common.log import logger
The provided code snippet includes necessary dependencies for implementing the `num_tokens_from_messages` function. Write a Python function `def num_tokens_from_messages(messages, model)` to solve the following problem:
Returns the number of tokens ... | Returns the number of tokens used by a list of messages. |
9,783 | import requests, json
from bot.bot import Bot
from bot.session_manager import SessionManager
from bot.baidu.baidu_wenxin_session import BaiduWenxinSession
from bridge.context import ContextType, Context
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf
from common import co... | null |
9,784 | import requests, json
from bot.bot import Bot
from bot.session_manager import SessionManager
from bot.baidu.baidu_wenxin_session import BaiduWenxinSession
from bridge.context import ContextType, Context
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf
from common import co... | null |
9,785 | import requests, json
from bot.bot import Bot
from bot.session_manager import SessionManager
from bot.baidu.baidu_wenxin_session import BaiduWenxinSession
from bridge.context import ContextType, Context
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf
from common import co... | null |
9,786 | import requests, json
from bot.bot import Bot
from bot.session_manager import SessionManager
from bot.baidu.baidu_wenxin_session import BaiduWenxinSession
from bridge.context import ContextType, Context
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf
from common import co... | null |
9,787 | from bot.session_manager import Session
from common.log import logger
def num_tokens_from_messages(messages, model):
tokens = 0
for msg in messages:
tokens += len(msg["content"])
return tokens | null |
9,788 | from bot.session_manager import Session
from common.log import logger
The provided code snippet includes necessary dependencies for implementing the `num_tokens_from_messages` function. Write a Python function `def num_tokens_from_messages(messages, model)` to solve the following problem:
Returns the number of tokens ... | Returns the number of tokens used by a list of messages. |
9,789 | import json
import logging
import os
import pickle
from common.log import logger
名 会 图
指
def get_root():
def conf():
=
def get_appdata_dir():
data_path = os.path.join(get_root(), conf().get("appdata_dir", ""))
if not os.path.exists(data_path):
... | null |
9,790 | import json
import logging
import os
import pickle
from common.log import logger
名 会 图
指
def conf():
def subscribe_msg():
trigger_prefix = conf().get("single_chat_prefix", [""])[0]
msg = conf().get("subscribe_msg", "")
return msg.format(trigge... | null |
9,791 | import json
import logging
import os
import pickle
from common.log import logger
名 会 图
指
plugin_config = {}
The provided code snippet includes necessary dependencies for implementing the `write_plugin_config` function. Write a Python function `def write_p... | 写入插件全局配置 :param pconf: 全量插件配置 |
9,792 | import json
import logging
import os
import pickle
from common.log import logger
名 会 图
指
plugin_config = {}
The provided code snippet includes necessary dependencies for implementing the `pconf` function. Write a Python function `def pconf(plugin_name: st... | 根据插件名称获取配置 :param plugin_name: 插件名称 :return: 该插件的配置项 |
9,793 | import os
import re
import threading
import time
from asyncio import CancelledError
from concurrent.futures import Future, ThreadPoolExecutor
from concurrent import futures
from bridge.context import *
from bridge.reply import *
from channel.channel import Channel
from common.dequeue import Dequeue
from common import m... | null |
9,794 | import os
import re
import threading
import time
from asyncio import CancelledError
from concurrent.futures import Future, ThreadPoolExecutor
from concurrent import futures
from bridge.context import *
from bridge.reply import *
from channel.channel import Channel
from common.dequeue import Dequeue
from common import m... | null |
9,795 | import web
from wechatpy.crypto import WeChatCrypto
from wechatpy.exceptions import InvalidSignatureException
from wechatpy.utils import check_signature
from config import conf
# openai apibase，当use_azure_chatgpt为true时，需要设置对应的api base
"open_ai_api_base": "https://api.openai.com/v1",
"proxy": "", # openai使用的代理... | null |
9,796 | import os
import time
os.environ['ntwork_LOG'] = "ERROR"
import ntwork
def forever():
try:
while True:
time.sleep(0.1)
except KeyboardInterrupt:
ntwork.exit_()
os._exit(0) | null |
9,797 | import datetime
import json
import os
import re
import time
import pilk
from bridge.context import ContextType
from channel.chat_message import ChatMessage
from common.log import logger
from ntwork.const import send_type
=
def get_with_retry(get_func, max_retries=5, delay=5):
retries = 0
result = None
whi... | null |
9,798 | import datetime
import json
import os
import re
import time
import pilk
from bridge.context import ContextType
from channel.chat_message import ChatMessage
from common.log import logger
from ntwork.const import send_type
=
def get_room_info(wework, conversation_id):
logger.debug(f"传入的 conversation_id: {conversati... | null |
9,799 | import datetime
import json
import os
import re
import time
import pilk
from bridge.context import ContextType
from channel.chat_message import ChatMessage
from common.log import logger
from ntwork.const import send_type
=
def cdn_download(wework, message, file_name):
data = message["data"]
aes_key = data["cd... | null |
9,800 | import datetime
import json
import os
import re
import time
import pilk
from bridge.context import ContextType
from channel.chat_message import ChatMessage
from common.log import logger
from ntwork.const import send_type
=
def c2c_download_and_convert(wework, message, file_name):
data = message["data"]
aes_ke... | null |
9,801 | import io
import os
import random
import tempfile
import threading
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_message import WeworkMessage
from commo... | null |
9,802 | import io
import os
import random
import tempfile
import threading
os.environ['ntwork_LOG'] = "ERROR"
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_mess... | null |
9,803 | import io
import os
import random
import tempfile
import threading
os.environ['ntwork_LOG'] = "ERROR"
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_mess... | null |
9,804 | import io
import os
import random
import tempfile
import threading
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_message import WeworkMessage
from commo... | null |
9,805 | import io
import os
import random
import tempfile
import threading
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_message import WeworkMessage
from commo... | null |
9,806 | import io
import os
import random
import tempfile
import threading
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_message import WeworkMessage
from commo... | null |
9,807 | import io
import os
import random
import tempfile
import threading
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_message import WeworkMessage
from commo... | null |
9,808 | import io
import json
import os
import threading
import time
import requests
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel import chat_channel
from channel.wechat.wechat_message import *
from common.expired_dict import ExpiredDict
from common.log impor... | null |
9,809 | import io
import json
import os
import threading
import time
import requests
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel import chat_channel
from channel.wechat.wechat_message import *
from common.expired_dict import ExpiredDict
from common.log impor... | null |
9,810 | import io
import json
import os
import threading
import time
import requests
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel import chat_channel
from channel.wechat.wechat_message import *
from common.expired_dict import ExpiredDict
from common.log impor... | null |
9,811 | import io
import json
import os
import threading
import time
import requests
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel import chat_channel
from channel.wechat.wechat_message import *
from common.expired_dict import ExpiredDict
from common.log impor... | null |
9,812 | import io
import json
import os
import threading
import time
import requests
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel import chat_channel
from channel.wechat.wechat_message import *
from common.expired_dict import ExpiredDict
from common.log impor... | null |
9,813 | import io
import json
import os
import threading
import time
import requests
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel import chat_channel
from channel.wechat.wechat_message import *
from common.expired_dict import ExpiredDict
from common.log impor... | null |
9,814 |
The provided code snippet includes necessary dependencies for implementing the `get_pcm_from_wav` function. Write a Python function `def get_pcm_from_wav(wav_path)` to solve the following problem:
从 wav 文件中读取 pcm :param wav_path: wav 文件路径 :returns: pcm 数据
Here is the function:
def get_pcm_from_wav(wav_path):
""... | 从 wav 文件中读取 pcm :param wav_path: wav 文件路径 :returns: pcm 数据 |
9,815 | import shutil
import wave
from common.log import logger
try:
import pysilk
except ImportError:
logger.warn("import pysilk failed, wechaty voice message will not be supported.")
from pydub import AudioSegment
sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000] t_sil_supports(sample_rate):
"""
... | 把任意格式转成mp3文件 |
9,816 | import shutil
import wave
from common.log import logger
try:
import pysilk
except ImportError:
logger.warn("import pysilk failed, wechaty voice message will not be supported.")
from pydub import AudioSegment
sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000] t_sil_supports(sample_rate):
"""
... | 把任意格式转成wav文件 |
9,817 | import shutil
import wave
from common.log import logger
try:
import pysilk
except ImportError:
logger.warn("import pysilk failed, wechaty voice message will not be supported.")
from pydub import AudioSegment
sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000] t_sil_supports(sample_rate):
"""
... | 把任意格式转成sil文件 |
9,818 | import shutil
import wave
from common.log import logger
try:
import pysilk
except ImportError:
logger.warn("import pysilk failed, wechaty voice message will not be supported.")
from pydub import AudioSegment
sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000] t_sil_supports(sample_rate):
"""
... | 把任意格式转成amr文件 |
9,819 |
The provided code snippet includes necessary dependencies for implementing the `split_audio` function. Write a Python function `def split_audio(file_path, max_segment_length_ms=60000)` to solve the following problem:
分割音频文件
Here is the function:
def split_audio(file_path, max_segment_length_ms=60000):
"""
分... | 分割音频文件 |
9,820 |
class BaiduVoice(Voice):
def __init__(self):
try:
curdir = os.path.dirname(__file__)
config_path = os.path.join(curdir, "config.json")
bconf = None
if not os.path.exists(config_path): # 如果没有配置文件，创建本地配置文件
bconf = {"lang": "zh", "ctp": 1, "spd... | create a voice instance :param voice_type: voice type code :return: voice instance |
9,821 | import json
import time
import requests
import datetime
import hashlib
import hmac
import base64
import urllib.parse
import uuid
from common.log import logger
from common.tmp_dir import TmpDir
=
class TmpDir(object):
"""A temporary directory that is deleted when the object is destroyed."""
tmpFilePath = path... | 使用阿里云的文本转语音服务将文本转换为语音。 参数: - url (str): 阿里云文本转语音服务的端点URL。 - text (str): 要转换为语音的文本。 - appkey (str): 您的阿里云appkey。 - token (str): 阿里云API的认证令牌。 返回值: - str: 成功时输出音频文件的路径，否则为None。 |
9,822 | import io
import os
from urllib.parse import urlparse
from PIL import Image
def split_string_by_utf8_length(string, max_length, max_split=0):
encoded = string.encode("utf-8")
start, end = 0, 0
result = []
while end < len(encoded):
if max_split > 0 and len(result) >= max_split:
resul... | null |
9,823 | import io
import os
from urllib.parse import urlparse
from PIL import Image
def get_path_suffix(path):
path = urlparse(path).path
return os.path.splitext(path)[-1].lstrip('.') | null |
9,824 |
def singleton(cls):
instances = {}
def get_instance(*args, **kwargs):
if cls not in instances:
instances[cls] = cls(*args, **kwargs)
return instances[cls]
return get_instance | null |
9,825 | import time
import pip
from pip._internal import main as pipmain
from common.log import _reset_logger, logger
def _reset_logger(log):
for handler in log.handlers:
handler.close()
log.removeHandler(handler)
del handler
log.handlers.clear()
log.propagate = False
console_handle = l... | null |
9,826 | import time
import pip
from pip._internal import main as pipmain
from common.log import _reset_logger, logger
def install(package):
pipmain(["install", package])
def check_dulwich():
needwait = False
for i in range(2):
if needwait:
time.sleep(3)
needwait = False
try:... | null |
9,827 | import hashlib
import re
import time
import config
from common.log import logger
=
def time_checker(f):
def _time_checker(self, *args, **kwargs):
_config = config.conf()
chat_time_module = _config.get("chat_time_module", False)
if chat_time_module:
chat_start_time = _config.get... | null |
9,828 | import logging
import sys
def _reset_logger(log):
def _get_logger():
log = logging.getLogger("log")
_reset_logger(log)
log.setLevel(logging.INFO)
return log | null |
9,829 | from enum import Enum
from config import conf
from common.log import logger
import requests
import threading
import time
from bridge.reply import Reply, ReplyType
import asyncio
from bridge.context import ContextType
from plugins import EventContext, EventAction
from .utils import Util
=
class Reply:
def __init__... | null |
9,830 | from enum import Enum
from config import conf
from common.log import logger
import requests
import threading
import time
from bridge.reply import Reply, ReplyType
import asyncio
from bridge.context import ContextType
from plugins import EventContext, EventAction
from .utils import Util
def check_prefix(content, prefix... | null |
9,831 | import plugins
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from plugins import *
from .midjourney import MJBot
from .summary import LinkSummary
from bridge import bridge
from common.expired_dict import ExpiredDict
from common import const
import os
from .utils import Util
class Rep... | null |
9,832 | import plugins
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from plugins import *
from .midjourney import MJBot
from .summary import LinkSummary
from bridge import bridge
from common.expired_dict import ExpiredDict
from common import const
import os
from .utils import Util
class Rep... | null |
9,833 | import plugins
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from plugins import *
from .midjourney import MJBot
from .summary import LinkSummary
from bridge import bridge
from common.expired_dict import ExpiredDict
from common import const
import os
from .utils import Util
def _get_... | null |
9,834 | import plugins
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from plugins import *
from .midjourney import MJBot
from .summary import LinkSummary
from bridge import bridge
from common.expired_dict import ExpiredDict
from common import const
import os
from .utils import Util
def _find_... | null |
9,835 | import plugins
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from plugins import *
from .midjourney import MJBot
from .summary import LinkSummary
from bridge import bridge
from common.expired_dict import ExpiredDict
from common import const
import os
from .utils import Util
def _find_... | null |
9,836 | import json
import os
import random
import string
import logging
from typing import Tuple
import bridge.bridge
import plugins
from bridge.bridge import Bridge
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from common import const
from config import conf, load_config, global_config
fro... | null |
9,837 | import glob
import os
import re
import subprocess
from os.path import basename, splitext, join
from setuptools import setup
from setuptools.command.install import install
The provided code snippet includes necessary dependencies for implementing the `get_packages` function. Write a Python function `def get_packages(ba... | Return all modules used in input-remapper. For example 'inputremapper.gui' or 'inputremapper.injection.mapping_handlers' |
9,838 | import glob
import os
import re
import subprocess
from os.path import basename, splitext, join
from setuptools import setup
from setuptools.command.install import install
PO_FILES = "po/*.po"
for po_file in glob.glob(PO_FILES):
lang = splitext(basename(po_file))[0]
lang_data.append(
(
f"/usr... | Build po files into mo/. |
9,839 | import sys
from hashlib import md5
from typing import Optional
import evdev
def is_service() -> bool:
return sys.argv[0].endswith("input-remapper-service") | null |
9,840 | import sys
from hashlib import md5
from typing import Optional
import evdev
DeviceHash = str
The provided code snippet includes necessary dependencies for implementing the `get_device_hash` function. Write a Python function `def get_device_hash(device: evdev.InputDevice) -> DeviceHash` to solve the following problem:
... | get a unique hash for the given device |
9,841 | from __future__ import annotations
import asyncio
import copy
import math
import re
from typing import List, Callable, Awaitable, Tuple, Optional, Union, Any
from evdev.ecodes import (
ecodes,
EV_KEY,
EV_REL,
REL_X,
REL_Y,
REL_WHEEL_HI_RES,
REL_HWHEEL_HI_RES,
REL_WHEEL,
REL_HWHEEL,
)... | Check if this is a legit variable name. Because they could clash with language features. If the macro is able to be parsed at all due to a problematic choice of a variable name. Allowed examples: "foo", "Foo1234_", "_foo_1234" Not allowed: "1_foo", "foo=blub", "$foo", "foo,1234", "foo()" |
9,842 | from __future__ import annotations
import asyncio
import copy
import math
import re
from typing import List, Callable, Awaitable, Tuple, Optional, Union, Any
from evdev.ecodes import (
ecodes,
EV_KEY,
EV_REL,
REL_X,
REL_Y,
REL_WHEEL_HI_RES,
REL_HWHEEL_HI_RES,
REL_WHEEL,
REL_HWHEEL,
)... | If the argument is a variable, figure out its value and cast it. Variables are prefixed with `$` in the syntax. Use this just-in-time when you need the actual value of the variable during runtime. |
9,843 | import inspect
import re
from typing import Optional, Any
from inputremapper.configs.validation_errors import MacroParsingError
from inputremapper.injection.macros.macro import Macro, Variable
from inputremapper.logger import logger
def _parse_recurse(
code: str,
context,
mapping,
verbose: bool,
mac... | Parse and generate a Macro that can be run as often as you want. Parameters ---------- macro "repeat(3, key(a).wait(10))" "repeat(2, key(a).key(KEY_A)).key(b)" "wait(1000).modify(Shift_L, repeat(2, k(a))).wait(10, 20).key(b)" context : Context, or None for use in Frontend mapping the mapping for the macro, or None for ... |
9,844 | import re
import subprocess
from inputremapper.logger import logger
def is_numlock_on():
"""Get the current state of the numlock."""
try:
xset_q = subprocess.check_output(
["xset", "q"],
stderr=subprocess.STDOUT,
).decode()
num_lock_status = re.search(r"Num Lock:\... | Decorator to reset the numlock to its initial state afterwards. |
9,845 | from typing import Dict, Union, Tuple, Optional, List
import evdev
import inputremapper.exceptions
import inputremapper.utils
from inputremapper.logger import logger
DEFAULT_UINPUTS = {
# for event codes see linux/input-event-codes.h
"keyboard": {
evdev.ecodes.EV_KEY: list(evdev.ecodes.KEY.keys() & evde... | Check if the uinput with the target name is capable of the event. |
9,846 | from typing import Dict, Union, Tuple, Optional, List
import evdev
import inputremapper.exceptions
import inputremapper.utils
from inputremapper.logger import logger
DEFAULT_UINPUTS = {
# for event codes see linux/input-event-codes.h
"keyboard": {
evdev.ecodes.EV_KEY: list(evdev.ecodes.KEY.keys() & evde... | Find the names of default uinputs that are able to emit this event. |
9,847 | import math
from typing import Dict
import evdev
from evdev.ecodes import (
EV_REL,
REL_WHEEL,
REL_HWHEEL,
REL_WHEEL_HI_RES,
REL_HWHEEL_HI_RES,
)
from inputremapper.configs.input_config import InputCombination, InputConfig
from inputremapper import exceptions
from inputremapper.configs.mapping impor... | null |
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