id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
188,331 | import asyncio
import base64
import os
import random
import re
import uuid
from io import BytesIO
from math import ceil
from pathlib import Path
from typing import Any, Awaitable, Callable, List, Literal, Optional, Tuple, Union
import cv2
import imagehash
from imagehash import ImageHash
from matplotlib import pyplot as... | 说明: 将图片透明背景转化为白色 参数: :param pic: 通过PIL打开的图片文件 |
188,332 | import asyncio
import base64
import os
import random
import re
import uuid
from io import BytesIO
from math import ceil
from pathlib import Path
from typing import Any, Awaitable, Callable, List, Literal, Optional, Tuple, Union
import cv2
import imagehash
from imagehash import ImageHash
from matplotlib import pyplot as... | 说明: matplotlib图片转base64 参数: :param plt_: matplotlib生成的图片 |
188,333 | import io
from pathlib import Path
from typing import List, Optional, Union
from nonebot.adapters.onebot.v11.message import Message, MessageSegment
from configs.config import NICKNAME
from configs.path_config import IMAGE_PATH, RECORD_PATH
from services.log import logger
from utils.image_utils import BuildImage, BuildM... | 说明: 生成一个 MessageSegment.record 消息 参数: :param file: 音频文件名称，默认在 resource/voice 目录下 |
188,334 | import io
from pathlib import Path
from typing import List, Optional, Union
from nonebot.adapters.onebot.v11.message import Message, MessageSegment
from configs.config import NICKNAME
from configs.path_config import IMAGE_PATH, RECORD_PATH
from services.log import logger
from utils.image_utils import BuildImage, BuildM... | 说明: 生成一个 MessageSegment.contact_user 消息 参数: :param qq: qq号 |
188,335 | import io
from pathlib import Path
from typing import List, Optional, Union
from nonebot.adapters.onebot.v11.message import Message, MessageSegment
from configs.config import NICKNAME
from configs.path_config import IMAGE_PATH, RECORD_PATH
from services.log import logger
from utils.image_utils import BuildImage, BuildM... | 说明: 生成一个 MessageSegment.xml 消息 参数: :param data: 数据文本 |
188,336 | import io
from pathlib import Path
from typing import List, Optional, Union
from nonebot.adapters.onebot.v11.message import Message, MessageSegment
from configs.config import NICKNAME
from configs.path_config import IMAGE_PATH, RECORD_PATH
from services.log import logger
from utils.image_utils import BuildImage, BuildM... | 说明: 生成一个 MessageSegment.poke 消息 参数: :param qq: qq号 |
188,337 | import io
from pathlib import Path
from typing import List, Optional, Union
from nonebot.adapters.onebot.v11.message import Message, MessageSegment
from configs.config import NICKNAME
from configs.path_config import IMAGE_PATH, RECORD_PATH
from services.log import logger
from utils.image_utils import BuildImage, BuildM... | null |
188,338 | from copy import deepcopy
import re
from .zh_wiki import zh2Hant, zh2Hans
import sys
MAPS = {}
class ConvertMap(object):
def __init__(self, name, mapping=None):
self.name = name
self._map = {}
if mapping:
self.set_convert_map(mapping)
def set_convert_map(self, mapping):
... | null |
188,339 | from copy import deepcopy
import re
from .zh_wiki import zh2Hant, zh2Hans
import sys
class Converter(object):
def __init__(self, to_encoding):
self.to_encoding = to_encoding
self.map = MAPS[to_encoding]
self.start()
def feed(self, char):
branches = []
for fsm in self.mach... | null |
188,340 | from pathlib import Path
from typing import Callable, Dict, Optional, Union
from utils.manager import group_manager
from utils.manager.data_class import StaticData
from .models import Plugin
n(BaseModel):
"""
插件数据
"""
plugin_name: str # 模块名
status: Optional[bool] = True # 开关状态
error: Optiona... | 说明: 初始化群数据 参数: :param func: func |
188,341 | import copy
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
import nonebot
import ujson as json
from configs.config import Config
from utils.manager.data_class import StaticData
from utils.utils import get_matchers, is_number
from .models import BaseData, BaseGroup
{
"run_sql... | 说明: 初始化群数据 参数: :param func: func |
188,342 | import copy
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
import nonebot
import ujson as json
from configs.config import Config
from utils.manager.data_class import StaticData
from utils.utils import get_matchers, is_number
from .models import BaseData, BaseGroup
Config.add_plug... | 说明: 初始化群被动 参数: :param func: func |
188,343 | import random
user_agent = [
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
"Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
"Mozilla/5.0 (Windows NT 10.0; WOW64; ... | null |
188,344 | import asyncio
from typing import Optional
from nonebot import get_driver
from playwright.async_api import Browser, Playwright, async_playwright
from services.log import logger
_playwright: Optional[Playwright] = None
_browser: Optional[Browser] = None
async def start_browser():
global _playwright
global _brow... | null |
188,345 | import asyncio
from typing import Optional
from nonebot import get_driver
from playwright.async_api import Browser, Playwright, async_playwright
from services.log import logger
_playwright: Optional[Playwright] = None
_browser: Optional[Browser] = None
async def shutdown_browser():
if _browser:
await _brow... | null |
188,346 | import asyncio
from typing import Optional
from nonebot import get_driver
from playwright.async_api import Browser, Playwright, async_playwright
from services.log import logger
class logger:
TEMPLATE_A = "{}"
TEMPLATE_B = "[<u><c>{}</c></u>]: {}"
TEMPLATE_C = "用户[<u><e>{}</e></u>] 触发 [<u><c>{}</c></u>]: {... | 自动安装、更新 Chromium |
188,347 | import os
import shutil
from argparse import ArgumentParser
'__main__':
main()
def rm(path1, f):
# 返回当前目录下的内容。文件或文件夹
fls = os.listdir(path1)
if len(fls)==0:
f.write(f"删除:{path1}\n")
os.rmdir(path1)
return
elif len(fls) == 1 and fls[0] == '.DS_Store':
f.write(f"删除:{p... | null |
188,348 | import os
import re
def deal_chapter(path, f_log):
if 'src.txt' in files:
deal_chapter(path, f_log)
for p in files:
p2 = os.path.join(path, p)
if os.path.isdir(p2):
recursion_dirs(p2, f_log)
def recursion_dirs(path, f_log):
files = os.listdir(path)
if 'src.txt' in fi... | null |
188,349 |
def books(baseurl, header, lastInfo, f_log, base_dir_name = 'crawl-data'):
lastBook = lastInfo[0] if isinstance(lastInfo, tuple) else None
request = requests.get(url=baseurl, headers=header)
time.sleep(0.5)
bs = BeautifulSoup(request.text, 'lxml')
# 提取书链接和书名
book_list = str(bs.select("body >... | null |
188,350 |
def readLog():
f_log = open('log/crawl_log.txt', 'r', encoding='utf-8')
log = f_log.read()
# 最后一次爬取断点
lastBOOK, lastSection, lastChap = "", "", ""
# 读取最后一次爬取时最后一本书籍名称
if len(re.findall('####(.*)####', log)) > 0:
lastBOOK = re.findall('####(.*)####', log)[-1]
else:
retu... | null |
188,351 |
def books(baseurl, header, lastInfo, flog, base_dir_name = 'crawl-data'):
lastBook = lastInfo[0] if isinstance(lastInfo, tuple) else None
request = requests.get(url=baseurl, headers=header)
time.sleep(0.5)
bs = BeautifulSoup(request.text, 'lxml')
# 提取书链接和书名
book_list = str(bs.select("body > ... | null |
188,352 |
def readLog():
flog = open('log/crawl_src_log.txt', 'r', encoding="utf-8")
log = flog.read()
# 最后一次爬取断点
lastBOOK, lastSection, lastChap = "", "", ""
# 读取最后一次爬取时最后一本书籍名称
if len(re.findall('####(.*)####', log)) > 0:
lastBOOK = re.findall('####(.*)####', log)[-1]
else:
re... | null |
188,353 | import os
from argparse import ArgumentParser
def recursion_dir(path):
files = os.listdir(path)
if "数据来源.txt" in files:
if os.path.exists(os.path.join(path, "temp_ori_sentence.txt")):
os.remove(os.path.join(path, "temp_ori_sentence.txt"))
if os.path.exists(os.path.join(path, "temp_t... | null |
188,354 | import os
import re
import math
from tqdm import tqdm
import time
from argparse import ArgumentParser
for item in my_ori:
f_my_ori.write(item)
for item in my_trans:
f_my_trans.write(item)
def sentence_set(text):
temp = re.sub('[,.!?;:\'"，。：；‘’“”？！《》 ]', "", text.strip())
return set([ite... | null |
188,355 | import os
import re
import math
from tqdm import tqdm
import time
from argparse import ArgumentParser
for i in range(n+1):
d[i][0] = i
for i in range(m+1):
d[0][i] = i
for i in range(1, n+1):
for j in range(1, m+1):
left = d[i-1][j] + 1
down = d[i][j-1] + 1
... | null |
188,356 | import os
import re
import math
from tqdm import tqdm
import time
from argparse import ArgumentParser
files = os.listdir(path)
if 'temp_ori_sentence.txt' in files and 'temp_trans_sentence.txt' in files:
res.append(path)
for p in files:
p2 = os.path.join(path, p)
if os.path.isdir(p2):... | null |
188,357 | import importlib
import json
import os
import sys
from collections import defaultdict
from typing import Any
import yaml
from tqdm import tqdm
from real_agents.adapters.data_model import APIYamlModel, SpecModel
from real_agents.plugins_agent.plugins.plugin_names import PluginName
def load_plugin_elements_by_name(plugin... | null |
188,358 | import requests
def call_api(input_json, api_key):
input_json["appid"] = api_key
response = requests.get("https://www.wolframalpha.com/api/v1/llm-api", params=input_json)
if response.status_code == 200:
return response.content.decode("utf-8")
else:
return {"status_code": response.statu... | null |
188,359 | import requests
def call_api(input_json, api_key):
input_json["appid"] = api_key
response = requests.get("https://www.wolframalpha.com/api/v1/cloud-plugin", params=input_json)
if response.status_code == 200:
return response.content.decode("utf-8")
else:
return {"status_code": response.... | null |
188,360 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.get("https://showme.redstarplugin.com/diagram-guidelines", params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": res... | null |
188,361 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.get("https://showme.redstarplugin.com/render/", params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": response.statu... | null |
188,362 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.get("https://showme.redstarplugin.com/show-carousel", params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": response... | null |
188,363 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.get("https://ai.biztoc.com/ai/news", params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": response.status_code, "te... | null |
188,364 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
url = "https://jobsearch.vencio.de/jobs"
headers = {
"Content-Type": "application/json"
}
response = requests.get(url, headers=headers, params=input_json)
if response.status_code == 200... | null |
188,365 | from typing import Any, Dict
import requests
url = "https://api.speak.com/v1/public/openai/explain-task"
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=input_json, headers=headers)
if response.status_code == 200... | null |
188,366 | from typing import Any, Dict
import requests
url = "https://api.speak.com/v1/public/openai/translate"
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=input_json, headers=headers)
if response.status_code == 200:
... | null |
188,367 | from typing import Any, Dict
import requests
url = "https://api.speak.com/v1/public/openai/explain-phrase"
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=input_json, headers=headers)
if response.status_code == 2... | null |
188,368 | import os
import requests
def reload_openapi(api_key, openapi_json):
# Original data
headers = {"X-API-Key": api_key, }
# Call read the openapi
url = "https://nla.zapier.com/api/v1/exposed/"
data = None
while True:
try:
response = requests.get(url, headers=headers)
... | null |
188,369 | import os
import requests
def reload_endpoints(new_paths):
new_endpoint2caller = {}
for new_path in new_paths:
# create the call function
def call_api(input_json, api_key):
import requests
headers = {"X-API-Key": api_key}
url = "https://nla.zapier.com" + new_... | null |
188,370 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any], api_key) -> Dict[str, Any]:
headers = {
"X-API-Key": api_key,
}
url = "https://nla.zapier.com/api/v1/" + input_json['execution-log']
response = requests.get(url, headers=headers)
if response.status_code =... | null |
188,371 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any], api_key) -> Dict[str, Any]:
headers = {
"X-API-Key": api_key,
"Content-Type": "application/json"
}
url = "https://nla.zapier.com/api/v1/preview-a-zap/"
response = requests.post(url, headers=headers)
... | null |
188,372 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any], api_key) -> Dict[str, Any]:
headers = {
"X-API-Key": api_key,
}
url = "https://nla.zapier.com/api/v1/search/actions/"
response = requests.get(url, headers=headers, params=input_json)
if response.status_co... | null |
188,373 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any], api_key) -> Dict[str, Any]:
headers = {
"X-API-Key": api_key,
}
url = "https://nla.zapier.com/api/v1/exposed/"
response = requests.get(url, headers=headers)
if response.status_code == 200:
return ... | null |
188,374 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any], api_key) -> Dict[str, Any]:
headers = {
"X-API-Key": api_key,
}
url = "https://nla.zapier.com/api/v1/configuration-link/"
response = requests.get(url, headers=headers)
if response.status_code == 200:
... | null |
188,375 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.post("https://dreamplugin.bgnetmobile.com/api/data", json=input_json)
if response.status_code == 200:
return response.content
else:
return {"status_code": response.s... | null |
188,376 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
dream_text = input_json["DreamText"]
response = requests.get(f"https://dreamplugin.bgnetmobile.com/getDream/{dream_text}")
if response.status_code == 200:
return response.json()
else:
... | null |
188,377 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.post("https://www.coursera.org/api/rest/v1/search", json=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": response.stat... | null |
188,378 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
url = "https://openai-plugin.xweather.com/weather/summary/{}".format(input_json['location'])
response = requests.get(url)
if response.status_code == 200:
return response.json()
else:
... | null |
188,379 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
location = input_json['location']
response = requests.get(f"https://openai-plugin.xweather.com/radar/{location}", params=input_json)
if response.status_code == 200:
return response.json()
e... | null |
188,380 | from typing import Dict, Any
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
location = input_json["location"]
url = f"https://openai-plugin.xweather.com/weather/forecast/{location}"
response = requests.get(url)
if response.status_code == 200:
return response.json()... | null |
188,381 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.post("https://plugin.askyourpdf.com/query", json=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": response.status_code... | null |
188,382 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.post("https://plugin.askyourpdf.com/api/download_pdf", params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": respons... | null |
188,383 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.post("https://nba-gpt-prod.onrender.com/basketball_stats", json=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": respo... | null |
188,384 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.get("https://chatgpt-plugin.outschool.com/api/teachers", params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": respo... | null |
188,385 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.get("https://chatgpt-plugin.outschool.com/api/classes", params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": respon... | null |
188,386 | from typing import Any, Dict
import requests
url = "https://www.klarna.com/us/shopping/public/openai/v0/products"
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
headers = {"Accept": "application/json"}
response = requests.get(url, headers=headers, params=input_json)
if response.status_code ==... | null |
188,387 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
url = "https://create-qr-code.modelxy.com/create-qr-code"
response = requests.get(url, params=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status... | null |
188,388 | import requests
from typing import Any, Dict
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
response = requests.post("https://scraper.gafo.tech/scrape", json=input_json)
if response.status_code == 200:
return response.json()
else:
return {"status_code": response.status_code, "... | null |
188,389 | from typing import Any, Dict
import requests
def call_api(input_json: Dict[str, Any]) -> Dict[str, Any]:
query_param = input_json["latlng"]
response = requests.get(f"https://maps.smoothplugins.com/?latlng={query_param}")
if response.status_code == 200:
return {"result": response.content.decode()}
... | null |
188,390 | import os
from typing import Any, List, Optional, Tuple, Dict
from pydantic import BaseModel
import requests
import time
import ast
import pandas as pd
from io import StringIO
import redis
from loguru import logger
from IPython.core.interactiveshell import InteractiveShell
from IPython.core.getipython import get_ipytho... | null |
188,391 | from __future__ import annotations
import asyncio
import functools
import logging
import os
import warnings
from contextlib import contextmanager
from contextvars import ContextVar
from typing import Any, Dict, Generator, List, Optional, Type, TypeVar, Union, cast
from uuid import UUID, uuid4
import langchain
from lang... | Get OpenAI callback handler in a context manager. |
188,392 | from __future__ import annotations
import asyncio
import functools
import logging
import os
import warnings
from contextlib import contextmanager
from contextvars import ContextVar
from typing import Any, Dict, Generator, List, Optional, Type, TypeVar, Union, cast
from uuid import UUID, uuid4
import langchain
from lang... | Get Tracer in a context manager. |
188,393 | from __future__ import annotations
import asyncio
import functools
import logging
import os
import warnings
from contextlib import contextmanager
from contextvars import ContextVar
from typing import Any, Dict, Generator, List, Optional, Type, TypeVar, Union, cast
from uuid import UUID, uuid4
import langchain
from lang... | Get the experimental tracer handler in a context manager. |
188,394 | from __future__ import annotations
import asyncio
import functools
import logging
import os
import warnings
from contextlib import contextmanager
from contextvars import ContextVar
from typing import Any, Dict, Generator, List, Optional, Type, TypeVar, Union, cast
from uuid import UUID, uuid4
import langchain
from lang... | Generic event handler for CallbackManager. |
188,395 | from __future__ import annotations
import asyncio
import functools
import logging
import os
import warnings
from contextlib import contextmanager
from contextvars import ContextVar
from typing import Any, Dict, Generator, List, Optional, Type, TypeVar, Union, cast
from uuid import UUID, uuid4
import langchain
from lang... | Generic event handler for AsyncCallbackManager. |
188,396 | from __future__ import annotations
import asyncio
import functools
import logging
import os
import warnings
from contextlib import contextmanager
from contextvars import ContextVar
from typing import Any, Dict, Generator, List, Optional, Type, TypeVar, Union, cast
from uuid import UUID, uuid4
import langchain
from lang... | Configure the callback manager. |
188,397 | from inspect import signature
from typing import Any, Awaitable, Callable, Dict, Optional, Type, Union
from pydantic import BaseModel, validate_arguments
from langchain.tools.base import BaseTool
from real_agents.adapters.data_model import DataModel
from real_agents.adapters.callbacks.manager import (
CallbackManag... | Make tools out of functions, can be used with or without arguments. Args: *args: The arguments to the tool. return_direct: Whether to return directly from the tool rather than continuing the agent loop. args_schema: optional argument schema for user to specify infer_schema: Whether to infer the schema of the arguments ... |
188,398 | import json
from bs4 import BeautifulSoup
from collections import defaultdict
from typing import Any, Dict, List, Union
from real_agents.adapters.data_model.base import DataModel
import requests
import re
import tiktoken
The provided code snippet includes necessary dependencies for implementing the `find_potential_tem... | Find all potential templates in the HTML tree. |
188,399 | import json
from bs4 import BeautifulSoup
from collections import defaultdict
from typing import Any, Dict, List, Union
from real_agents.adapters.data_model.base import DataModel
import requests
import re
import tiktoken
The provided code snippet includes necessary dependencies for implementing the `optimize_template`... | Check and adjust the template in possible_templates to optimize style. |
188,400 | import json
from bs4 import BeautifulSoup
from collections import defaultdict
from typing import Any, Dict, List, Union
from real_agents.adapters.data_model.base import DataModel
import requests
import re
import tiktoken
def get_placeholder(template, value_index):
"""Get the placeholder for the value at the given i... | Convert the DOM into processed template tree. |
188,401 | import json
from bs4 import BeautifulSoup
from collections import defaultdict
from typing import Any, Dict, List, Union
from real_agents.adapters.data_model.base import DataModel
import requests
import re
import tiktoken
def is_string_a_number(s):
try:
float(s)
return True
except ValueError:
... | Serialize the template tree into HTML string. |
188,402 | import json
from bs4 import BeautifulSoup
from collections import defaultdict
from typing import Any, Dict, List, Union
from real_agents.adapters.data_model.base import DataModel
import requests
import re
import tiktoken
def remove_iframes(html_string):
# Remove all iframe tags using regex
return re.sub("<ifram... | null |
188,403 |
def indent_multiline_string(multiline_string: str, indent: int = 1) -> str:
return "\n".join("\t" * indent + line for line in multiline_string.split("\n")) | null |
188,404 | import os
from typing import Any, Dict
import importlib.util
import tiktoken
from real_agents.adapters.data_model.plugin.base import APIYamlModel
from real_agents.adapters.data_model.utils import indent_multiline_string
def import_function_from_file(filepath, function_name):
spec = importlib.util.spec_from_file_lo... | null |
188,405 | import os
from typing import Any, Dict
import importlib.util
import tiktoken
from real_agents.adapters.data_model.plugin.base import APIYamlModel
from real_agents.adapters.data_model.utils import indent_multiline_string
def process_one_param(param_dict: Dict[str, Any]) -> str:
name = param_dict.get("name", None)
... | null |
188,406 | import os
from typing import Any, Dict
import importlib.util
import tiktoken
from real_agents.adapters.data_model.plugin.base import APIYamlModel
from real_agents.adapters.data_model.utils import indent_multiline_string
def process_one_property(name: str, value_dict: Dict[str, Any]) -> str:
description = value_dic... | null |
188,407 | from copy import deepcopy
from typing import Any, Dict
def convert(_input_json: Dict[str, Any]) -> Dict[str, Any]:
input_json = deepcopy(_input_json)
assert isinstance(input_json["out"], list)
input_json["out"] = input_json["out"][:5]
extracted_keys = [
"body",
"title",
"create... | null |
188,408 | from copy import deepcopy
from typing import Any, Dict
def convert(_input_json: Dict[str, Any]) -> Dict[str, Any]:
input_json = deepcopy(_input_json)
assert isinstance(input_json["out"], list)
input_json["out"] = input_json["out"][:5]
for i, job in enumerate(input_json["out"]):
cleaned_job_it... | null |
188,409 | from copy import deepcopy
from typing import Any, Dict
def convert(_input_json: Dict[str, Any]) -> Dict[str, Any]:
input_json = deepcopy(_input_json)
assert isinstance(input_json["out"], list)
input_json["out"]["articles"] = input_json["out"]["articles"][:5]
return input_json | null |
188,410 | import subprocess
import sys
from typing import Dict, List, Tuple
The provided code snippet includes necessary dependencies for implementing the `convert` function. Write a Python function `def convert(kg_input: List[Tuple], name_space: str = "") -> Dict[str, str]` to solve the following problem:
Convert knowledge gra... | Convert knowledge graph data to string representations in different formats. :param kg_input: the list of knowledge graph triples. :param name_space: of the knowledge graph. :return: A dictionary with the string knowledge graph representations in different formats. |
188,411 | import sqlite3
from typing import Dict, Union
import pandas as pd
import tiktoken
from real_agents.adapters.data_model.templates.skg_templates.table_templates import (
convert as convert_table,
)
from real_agents.adapters.schema import SQLDatabase
The provided code snippet includes necessary dependencies for imple... | Convert database data to string representations in different formats. :param db_input: the path to the sqlite database file, or a pd.DataFrame. :param visible_rows_num: the number of rows to be displayed in each table. :return: A dictionary with the string database representations in different formats. |
188,412 | import sqlite3
from typing import Dict, Union
import pandas as pd
import tiktoken
from real_agents.adapters.data_model.templates.skg_templates.table_templates import (
convert as convert_table,
)
from real_agents.adapters.schema import SQLDatabase
class SQLDatabase(SQLDatabase):
def _pretty_format(headers: Any... | Convert database engine to a string representation. |
188,413 | import subprocess
import sys
from copy import deepcopy
from typing import Any, Dict, Union
import pandas as pd
from sqlalchemy import create_engine
import tiktoken
from real_agents.adapters.schema import SQLDatabase
The provided code snippet includes necessary dependencies for implementing the `convert` function. Writ... | Convert table data to string representations in different formats. :param table_data: A dictionary with "cols" (list of strings) and "rows" (list of lists of strings) as keys. :param table_name: The name of the table. :param visible_rows_num: The number of rows to be displayed in the representation. :return: A dictiona... |
188,414 | import subprocess
import sys
from copy import deepcopy
from typing import Any, Dict, Union
import pandas as pd
from sqlalchemy import create_engine
import tiktoken
from real_agents.adapters.schema import SQLDatabase
class SQLDatabase(SQLDatabase):
def _pretty_format(headers: Any, result: List[Row]) -> str:
... | Convert dataframe to a string representation. |
188,415 | from __future__ import annotations
import logging
import sys
from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple, Union
from pydantic import Extra, Field, root_validator
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
... | Use tenacity to retry the async completion call. |
188,416 | from __future__ import annotations
import logging
import sys
from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple, Union
from pydantic import Extra, Field, root_validator
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
... | null |
188,417 | from __future__ import annotations
import logging
import sys
from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple, Union
from pydantic import Extra, Field, root_validator
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
... | null |
188,418 | import asyncio
import inspect
import warnings
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Mapping, Optional, Sequence
import langchain
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.base import BaseCallbackManager
from langchain.callbacks.manager import (
... | null |
188,419 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Gets the history conversations. |
188,420 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Gets the folder list. |
188,421 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Gets the conversation content for one assigned conversation. |
188,422 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Updates a conversation name. |
188,423 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Update a folder name. |
188,424 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Creates a new folder. |
188,425 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Creates a new conversation. |
188,426 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Deletes a conversation. |
188,427 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Deletes a folder. |
188,428 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Clears all previous conversations. |
188,429 | import struct
import json
import datetime
from typing import Any, Generator
from bson.objectid import ObjectId
from flask import jsonify, request, Response
from backend.app import app
from backend.utils.user_conversation_storage import get_user_conversation_storage
from backend.main import threading_pool, logger
from b... | Stops the current generation, cut on streaming. |
188,430 | import os
from flask import request, Response
from kaggle.api.kaggle_api_extended import KaggleApi
from backend.app import app
from backend.utils.utils import create_personal_folder
from backend.schemas import UNFOUND, INTERNAL, DEFAULT_USER_ID
api = KaggleApi()
api.authenticate()
def create_personal_folder(user_id: s... | Use Kaggle-api to connect. |
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