Chaosbus chaosbus

## main.py
"""This is an example of how to use async langchain with fastapi and return a streaming response.
The latest version of Langchain has improved its compatibility with asynchronous FastAPI,
making it easier to implement streaming functionality in your applications.
"""
import asyncio
import os
from typing import AsyncIterable, Awaitable

import uvicorn
from dotenv import load_dotenv

## tp.md

      
              2 files
            
          
              5 forks
            
          
                6 comments
              
            
              25 stars
            
          
                shreve
                / tp.md
            
            
              Last active
              July 19, 2025 15:39
            
              
                TP-Link Router Config Decrypt
              
          
    TP-Link Router Config

Update 2021-04-29: This may still work for you if you've got an old TP-Link router, but this is not maintained and doesn't work with newer models. If you've got a newer router, other projects like tpconf_bin_xml will likely work better for you.
TP-Link allows you to backup and restore your router's config file. For some reason, they decided to encrypt these backups so you cannot modify them. I think this is dumb. This script lets you decrypt and re-encrypt your config files so you can modify them as you see fit.
I use this to modify my reserved addresses list because editing them through the web interface is terribly slow and cumbersome.

Go to the router and download the config file from the "Backup & Restore" section of "System Tools".
Run ruby tp.rb config.bin


## download_glue_data.py
''' Script for downloading all GLUE data.

Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized,
or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
You should then rename and place specific files in a folder (see below for an example).

mkdir MRPC
cabextract MSRParaphraseCorpus.msi -d MRPC
	"""This is an example of how to use async langchain with fastapi and return a streaming response.
	The latest version of Langchain has improved its compatibility with asynchronous FastAPI,
	making it easier to implement streaming functionality in your applications.
	"""
	import asyncio
	import os
	from typing import AsyncIterable, Awaitable

	import uvicorn
	from dotenv import load_dotenv
	''' Script for downloading all GLUE data.

	Note: for legal reasons, we are unable to host MRPC.
	You can either use the version hosted by the SentEval team, which is already tokenized,
	or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
	For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
	You should then rename and place specific files in a folder (see below for an example).

	mkdir MRPC
	cabextract MSRParaphraseCorpus.msi -d MRPC