vcidst

/******************************

Code.gs
by vcidst

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vcidst

# This gist is transcribed from a talk by Sean Zicari
# Talk: Use Curses, don't swear https://www.youtube.com/watch?v=eN1eZtjLEnU
# 
# I haven't written the function which he used to fetch quotes from the web
# This only presents the barebones structure of his application
# 
# If debugging a curses application messes up your terminal, type `tset` to reset terminal

import curses

vcidst

1	0x00000000	0	$print instruction	 	Direction	"Down"	02.12.2017 02:58:33	
1	0x00000000	640	URB	 	urb	{…}	02.12.2017 02:58:33	
1	0x00000000	24	URB_HEADER	 	UrbHeader	{…}	02.12.2017 02:58:33	
1	0x00000000	2	unsigned short	 	Length	128	02.12.2017 02:58:33	
1	0x00000002	2	URB_FUNCTION	  	Function	URB_FUNCTION_BULK_OR_INTERRUPT_TRANSFER (9)	02.12.2017 02:58:33	
1	0x00000004	4	USBD_STATUS	   	Status	{ Status=SUCCESS (0); Type="Success" }	02.12.2017 02:58:33	
1	0x00000004	4	StatusCode	   	Status	SUCCESS (0)	02.12.2017 02:58:33	
1	0x00000008	0	$print instruction	    	Type	"Success"	02.12.2017 02:58:33	
1	0x00000008	8	unsigned __int64	    	UsbdDeviceHandle	0	02.12.2017 02:58:33	

vcidst

/*
   This sample illustrates how to grab images and process images asynchronously, i.e.,
   while the application is processing a buffer, the acquistion of the next buffer is done
   in parallel.
   The sample uses a pool of buffers that are passed to a stream grabber to be filled with
   image data. Once a buffer is filled and ready for processing, the buffer is retrieved from
   the stream grabber, processed, and passed back to the stream grabber to be filled again.
   Buffers retrieved from the stream grabber are not overwritten in the background as long as
   they are not passed back to the stream grabber.
*/

vcidst

// @bombayraincalls
// https://twitter.com/bombayraincalls
// tweets when it is raining in bombay
// generously supported by /r/Mumbai

// original source by dariusk
// https://github.com/dariusk/examplebot

// Our Twitter library
var Twit = require('twit');

vcidst

import nltk
from nltk.corpus import brown
import json

prepchoices = nltk.ConditionalFreqDist((v[0], p[0]) 
    for (v, p) in nltk.bigrams(brown.tagged_words(tagset="universal")) 
        if v[1] == "VERB" and p[1] == "ADP") 

pc = dict()
for word in prepchoices.conditions():

vcidst

// Our Twitter library
var Twit = require('twit');
var weather = require('weather-js');

// We need to include our configuration file
var T = new Twit(require('./config.js'));

// this function posts to twitter that it is rainy
function rainTwitter(today) {
	var tweets = [

vcidst

# Usage: python data-upload.py --docs_folder data/documents

import logging
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Milvus
from langchain.document_loaders import DirectoryLoader, TextLoader
from pathlib import Path
from langchain.schema import Document
from typing import List

vcidst

graph TD
A[Start] --> B[Are debug logs enabled?]
B -- No --> C[Enable debug logs and restart]
B -- Yes --> D["If the assistant uses LLM Router,
was the appropriate command predicted?"]
D -- No --> E[Look into LLM Router configuration]
D -- Yes --> F["Did command generator
trigger SearchAndReply command?"]
F -- No --> G["Look into modifying