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type PromiseFunction<T> = () => Promise<T>; | |
type PromiseResult<T> = { status: 'fulfilled', value: T } | { status: 'rejected', reason: any }; | |
async function allSettledWithConcurrency<T>(promises: PromiseFunction<T>[], concurrency: number): Promise<PromiseResult<T>[]> { | |
const results: PromiseResult<T>[] = new Array(promises.length); | |
let running = 0; | |
let index = 0; | |
return new Promise((resolve) => { | |
const enqueue = () => { |
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; ====== IMPORTANT ====== | |
; If you're using Windows with locale zh-CN, use **GBK** encoding, not UTF8 | |
; Otherwise the notepad save script will not work! | |
; ====== IMPORTANT ====== | |
#NoEnv ; Recommended for performance and compatibility with future AutoHotkey releases. | |
; #Warn ; Enable warnings to assist with detecting common errors. | |
SendMode Input ; Recommended for new scripts due to its superior speed and reliability. | |
SetWorkingDir %A_ScriptDir% ; Ensures a consistent starting directory. |
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import json | |
from mitmproxy import http, ctx | |
from collections.abc import Iterable | |
import time | |
import jwt # pip install PyJWT / pipx inject mitmproxy PyJWT | |
import re | |
GLM_TOKEN = "[INSERT_YOUR_TOKEN]" | |
GLM_HOST = "open.bigmodel.cn" |
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import numpy as np | |
import csv | |
from tqdm import tqdm | |
import seaborn as sns | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
def simulate_wait_times(num_machines, num_simulations, mean, std_dev): | |
wait_times = [] |
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// should read | |
// https://hedzr.com/c++/algorithm/cxx-is_detected-and-detection-idioms | |
#include <iostream> | |
#include <type_traits> | |
#include <experimental/type_traits> | |
// AClass definition | |
class AClass { | |
public: | |
std::string dueDate; |
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mpv --no-video "https://www.youtube.com/watch?v=jfKfPfyJRdk" --script-opts=ytdl_hook-ytdl_path=yt-dlp.exe |
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export function fibonacci(num) { | |
if (num <= 1) return num; | |
return fibonacci(num - 1) + fibonacci(num - 2); | |
} |
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<!DOCTYPE html> | |
<html lang="cmn-Hans"> | |
<head> | |
<meta charset="utf-8"> | |
<title>Hello!</title> | |
<style id="dark-mode-theme" disabled> | |
html { | |
background-color: #ebebeb !important; | |
} | |
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import requests | |
import json | |
import sseclient | |
# API_KEY = 'sk-xxx' | |
def performRequestWithStreaming(): | |
reqUrl = 'https://api.openai.com/v1/chat/completions' | |
reqHeaders = { |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Base64 Encoder</title> | |
</head> | |
<body> | |
<textarea id="myTextArea" rows="10" cols="50"></textarea> | |
<br> | |
<button onclick="encodeText()">Encode to Base64</button> | |
<br> |
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