Dhravya

import {
  type AgentNamespace,
  type Connection,
  routeAgentRequest,
  type Agent,
  type Schedule,
} from "agents-sdk";
import { AIChatAgent } from "agents-sdk/ai-chat-agent";
import {
  createDataStreamResponse,

Dhravya

import torch
import re
from transformers import AutoModelForCausalLM, AutoTokenizer
from typing import List, Dict, Tuple
from tqdm import tqdm

class InfiniRetri:
    def __init__(self, model_name, chunk_size=512, top_k=50, phrase_window=5, device=None):
        self.chunk_size = chunk_size
        self.top_k = top_k

Dhravya

import { type NextApiRequest, type NextApiResponse } from 'next';
import Ffmpeg from 'fluent-ffmpeg';

export default function handler(req: NextApiRequest, res: NextApiResponse) {
  if (req.method === 'GET') {
    // Set response headers
    res.setHeader('Content-Type', 'video/mp4');
    res.setHeader('Connection', 'keep-alive');
    res.setHeader('Accept-Ranges', 'bytes');

Dhravya

import { createToolsFromOpenAPISpec, runWithTools } from "@cloudflare/ai-utils";

export default {
	async fetch(request, env, ctx) {
		const response = (await runWithTools(
			env.AI,
			"@hf/nousresearch/hermes-2-pro-mistral-7b",
			{
				messages: [
					{

Dhravya

		await runWithTools(env.AI, "@hf/nousresearch/hermes-2-pro-mistral-7b", {
			messages: [
				{ role: "system", content: "Put user given values in KV" },
				{ role: "user", content: prompt },
			],
			tools: [
				{
					name: "KV update",
					description: "Update a key-value pair in the database",
					parameters: {

Dhravya

let tweets = []; // Initialize an empty array to hold all tweet elements

const scrollInterval = 1000; 
const scrollStep = 5000; // Pixels to scroll on each step

let previousTweetCount = 0;
let unchangedCount = 0;

const scrollToEndIntervalID = setInterval(() => {
    window.scrollBy(0, scrollStep);

Dhravya

from rich import print
import time

FORBIDDEN_CHARS = ["⍼", "⳧"]

text= "really really really long text that has a lot of repeating stuff so that it can be coompressed"


def find_all_non_overlapping_repeating_substrings(text: str):
    text = (text + ' ') if text[-1] != ' ' else text

Dhravya

text = """
ipsum doloridk sit amet, consectetur adipiscing elit. 
sed non risus.adiidkidk
suspendisse lectus tortor,adi dignissim sit amet, adipiscing nec, ultricies sed, dolor.
cras elementum ultrices diam.idkidkidk   maecenas ligula massa, varius a, semper congue, euismod non, mi.  """

txt1 = "loremhehe loremhehe lorem ipsumhehe ipsum ipsum"


def find_all_non_overlapping_repeating_substrings(text: str):

Dhravya

function owofy(text: string, wanky: boolean = false) {
  function lastReplace(s: string, old: string, newVal: string): string {
    const i = s.lastIndexOf(old);
    if (i < 0) {
      return s;
    }
    const start = s.substring(0, i);
    const end = s.substring(i + old.length);
    return start + newVal + end;
  }

Dhravya

import pytwitter
from os import environ as env
from dotenv import load_dotenv

load_dotenv() # Loads the .env file we created earlier

api = pytwitter.Api(
    consumer_key=env["CONSUMER_KEY"],
    consumer_secret=env["CONSUMER_SECRET"],
    access_token=env["OAUTH_TOKEN"],