Brayden

#!/usr/bin/env bash
set -euo pipefail

bold() { printf "\033[1m%s\033[0m\n" "$*"; }
info() { printf "• %s\n" "$*"; }
warn() { printf "\033[33m! %s\033[0m\n" "$*"; }
err()  { printf "\033[31m✗ %s\033[0m\n" "$*" >&2; }
ok()   { printf "\033[32m✓ %s\033[0m\n" "$*"; }

require_macos() {

stenuto

#!/bin/bash

# Function to display usage information
usage() {
    echo "Usage: $0 /path/to/input.mp4 [ /path/to/output_directory ]"
    exit 1
}

# Check if at least one argument (input file) is provided
if [ $# -lt 1 ]; then

unixzii

import SwiftUI

struct SmashableView: NSViewRepresentable {
    
    typealias NSViewType = _SmashableNSView
    
    let text: String
    
    class _SmashableNSView: NSView {
        

shawwn

mp=1; size=7B; # to run 7B
mp=8; size=65B; # to run 65B
for seed in $(randint 1000000)
do
  export TARGET_FOLDER=~/ml/data/llama/LLaMA
  time python3 -m torch.distributed.run --nproc_per_node $mp example.py --ckpt_dir $TARGET_FOLDER/$size --tokenizer_path $TARGET_FOLDER/tokenizer.model --seed $seed --max_seq_len 2048 --max_gen_len 2048 --count 0 | tee -a ${size}_startrek.txt 
done

yin1999

package main

import (
	"fmt"
	"net"
	"net/http"
	"strings"
)

type mux struct {

jianyun8023

// ==UserScript==
// @name         微信读书下载（已失效）
// @namespace    http://tampermonkey.net/
// @version      0.5.2
// @description  下载微信读书的书籍资源
// @author       tang
// @match        https://weread.qq.com/web/reader/*
// @grant unsafeWindow
// @grant GM_setValue
// @grant GM_getValue

Blankwonder

@import Photos;

    [PHPhotoLibrary requestAuthorizationForAccessLevel:PHAccessLevelReadWrite handler:^(PHAuthorizationStatus status) {
        NSLog(@"PHAuthorizationStatus: %ld", status);
                
        PHFetchOptions *fetchOptions = [[PHFetchOptions alloc] init];
        fetchOptions.includeHiddenAssets = YES;
        fetchOptions.includeAllBurstAssets = YES;

        PHFetchResult<PHAsset *> *result = [PHAsset fetchAssetsWithOptions:fetchOptions];

unrealwill

import onnx
from onnx_tf.backend import prepare
import tensorflow as tf
import onnxruntime

from PIL import Image
import numpy as np
import sys

#You need to have model.onnx and neuralhash_128x96_seed1.dat in your working directory

binji

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

ThaddeusJiang

function isLeapYear(year: number) {
  return new Date(year, 1, 29).getDate() === 29
}

export default isLeapYear