KristofferEriksson

/**
 * Custom hook for dynamically resizing a textarea to fit its content.
 * @param {React.RefObject<HTMLTextAreaElement>} textareaRef - Reference to the textarea element.
 * @param {string} textContent - Current text content of the textarea.
 * @param {number} maxHeight - Optional: maxHeight of the textarea in pixels.
 */

import { useEffect } from "react";
const useDynamicTextareaSize = (
  textareaRef: React.RefObject<HTMLTextAreaElement>,

s-casci

import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.optim import AdamW
from torch.optim.lr_scheduler import LinearLR
from typing import List, Tuple
import subprocess

# Download "40,000 lines of Shakespeare from a variety of Shakespeare's plays"
subprocess.run(

SandroMaglione

import { setup } from "xstate";

const machine = setup({
  types: {
    context: {} as {},
    events: {} as { readonly type: "event"; readonly params: {} },
  },
  actions: {},
}).createMachine({
  id: "machine",

masta-g3

summary notes and more

fsndzomga

import time
import json
from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage
from pydantic import BaseModel, ValidationError, ConfigDict
from typing import Type, Optional
import os
from dotenv import load_dotenv
load_dotenv()

vwxyzjn

# you can download the CSV from https://wandb.ai/costa-huang/tldr_summarize/runs/gb2dian5

import random
from openai import AsyncOpenAI
import pandas as pd
import asyncio
# client = OpenAI()
async_client = AsyncOpenAI()

khalidx

Sam Altman - How to Succeed with a Startup

Watch the full Y Combinator talk on YouTube from Aug 29, 2018 here: https://youtu.be/0lJKucu6HJc

Summary

1. Build a product so good, people spontaneously tell their friends about it.
2. Build a product that is easy to explain in a few words.
3. Identify a market that is going to grow every year.
4. A real trend is one where the early adopters use it obsessively.

geohot

# tiny@tiny9:~/tinygrad$ python3 examples/benchmark_copies.py
# CPU copy 6.18 ms, 16.28 GB/s
# GPU copy 4.38 ms, 23.00 GB/s
# GPU  6x  1.85 ms, 54.54 GB/s

import time
def timeit(fxn):
  tms = []
  for _ in range(10):
    st = time.perf_counter()

JaumeGelabert

"use client";

import {
  Dialog,
  DialogContent,
  DialogTitle,
  DialogTrigger
} from "@/components/ui/dialog";
import useDragDrop from "@/hooks/useDragDrop";
import { cn, formatBytes } from "@/lib/utils";

ceberly

default:
	gcc -O0 -g3 -Wall -Wextra -Wconversion -Wdouble-promotion \
		-Wno-unused-parameter -Wno-unused-function -Wno-sign-conversion \
		main.c

format:
	clang-format -i main.c