Neko Null jerrylususu

## cut.py

# WARNING: NOT QUITE WORKING...

import sys
import subprocess
import bisect
from pathlib import Path

def run_command(command_list):
    success = True

## Metro_Cycles_README.txt
原帖：https://bgm.tv/group/topic/375970
TLDR：本 gist 试图找出深圳地铁图上的最长环

新算法运行说明
1. 把 `metroStationsList.js` 里的站点信息单独存储成一个 `all_lines.json`
2. 运行 `prepare_graph.py`
3. 运行 `find_graphillion.py`
4. 运行 `decode_result.py`


## BENCHMARK.txt
## method
disable line no / file name logging: comment out line 10~13 in `index.js`
benchmark use `gocannon`: ./gocannon http://localhost:3000 -d 10s -c 50

## summary
without: 3495 req/s
with: 3204 req/s
perf cost: ~8.3%

## without line no / file name logging

## perform-transform.js
const ts = require("typescript");
const {readFileSync} = require("fs");

const filename = "source.ts";
// tsconfig
const options = {"target": "ESNext",
"module": "ESNext",
"moduleResolution": "node"}
const compilerHost = {
  ...ts.createCompilerHost(options),

## protobuf_decode.html
<!DOCTYPE html>
<html>

<head>
  <meta charset="utf-8">
  <title>Parse Protobuf File in Frontend Example</title>
</head>

<body>
  <textarea id="protobuf-content" rows="10" cols="80"></textarea>

## checker.py

# built with chatgpt

import pyautogui
import cv2 # opencv-python
import numpy as np
import time
from datetime import datetime, timedelta

# also need: pillow

## demo.html
<!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>

## gpt-stream.py
import requests
import json
import sseclient

# API_KEY = 'sk-xxx'


def performRequestWithStreaming():
    reqUrl = 'https://api.openai.com/v1/chat/completions'
    reqHeaders = {

## demo.html
<!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;
    }


## fib.js
export function fibonacci(num) {
    if (num <= 1) return num;
    return fibonacci(num - 1) + fibonacci(num - 2);
  }

	# WARNING: NOT QUITE WORKING...

	import sys
	import subprocess
	import bisect
	from pathlib import Path

	def run_command(command_list):
	success = True
	原帖：https://bgm.tv/group/topic/375970
	TLDR：本 gist 试图找出深圳地铁图上的最长环

	新算法运行说明
	1. 把 `metroStationsList.js` 里的站点信息单独存储成一个 `all_lines.json`
	2. 运行 `prepare_graph.py`
	3. 运行 `find_graphillion.py`
	4. 运行 `decode_result.py`
	## method
	disable line no / file name logging: comment out line 10~13 in `index.js`
	benchmark use `gocannon`: ./gocannon http://localhost:3000 -d 10s -c 50

	## summary
	without: 3495 req/s
	with: 3204 req/s
	perf cost: ~8.3%

	## without line no / file name logging
	const ts = require("typescript");
	const {readFileSync} = require("fs");

	const filename = "source.ts";
	// tsconfig
	const options = {"target": "ESNext",
	"module": "ESNext",
	"moduleResolution": "node"}
	const compilerHost = {
	...ts.createCompilerHost(options),
	<!DOCTYPE html>
	<html>

	<head>
	<meta charset="utf-8">
	<title>Parse Protobuf File in Frontend Example</title>
	</head>

	<body>
	<textarea id="protobuf-content" rows="10" cols="80"></textarea>

	# built with chatgpt

	import pyautogui
	import cv2 # opencv-python
	import numpy as np
	import time
	from datetime import datetime, timedelta

	# also need: pillow
	import requests
	import json
	import sseclient

	# API_KEY = 'sk-xxx'


	def performRequestWithStreaming():
	reqUrl = 'https://api.openai.com/v1/chat/completions'
	reqHeaders = {
	<!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;
	}
	export function fibonacci(num) {
	if (num <= 1) return num;
	return fibonacci(num - 1) + fibonacci(num - 2);
	}