class githubIpAddress
{
    public $url = 'https://api.github.com/meta';
    public function getIpAddress($key)
    {
        $data = [];
        $curl = curl_init();
        curl_setopt($curl, CURLOPT_URL, $this->url);
        curl_setopt($curl, CURLOPT_USERAGENT, 'getgithubaddress');
        curl_setopt($curl, CURLOPT_CUSTOMREQUEST, 'GET');
        curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
        curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);

        $obj = json_decode(@curl_exec($curl));

        if ($obj?->$key) {
            foreach ($obj?->$key as $val) {
                $data[] = $val;
            }
        }
        curl_close($curl);
        return $data;
    }

    public function saveIpAddress($key, $data)
    {
        $filename = "data/{$key}-ip-address.txt";
        file_put_contents($filename, implode("\n",$data));
        return $filename;
    }
}

<?php
// 頻繁にランダム番号が重複しないようにするクラス.
class randomizeClass
{
    /**
     * ランダムに配列のインデックス番号を取得する
     */
    public function getRandomIndex($hasArray,$index,$filename='rand.dat',$max=15)
    {
        try {

            //過去のランダム番号を保存しているファイルが無ければ空ファイルを作成する
            if(!file_exists($filename)){                
                file_put_contents($filename,'');
            }

            //過去のランダム番号を保存しているデータを取得
            $fileData = file_get_contents($filename);

            //下記の場合は処理しない
            if ($fileData === false || count($hasArray) < $max) {
                return $index;
            }
            //ファイルデータをカンマで配列に分離
            $isArray = explode(',',$fileData);

            //過去のランダム番号に存在しないか？
            if (array_search($index,$isArray,false) === false) {
                //ランダム格納前処理
                array_unshift($isArray,$index);
                if (count($isArray)>$max) {
                    array_pop($isArray);
                }
                array_filter($isArray,function($val){
                    return $val !=='';
                });
                //ランダム番号を格納
                file_put_contents($filename,implode(',',$isArray));

                return $index;
            }
            //過去のランダム番号に合致したため再帰処理を行う．
            return $this->getRandomIndex($hasArray,array_rand($hasArray),$filename,$max);

        } catch (\Throwable $th) {
            throw $th;
            echo $th->getMessage();
        }
    }
}

//テスト用配列を生成
$hasArray = (function(){
    $val = [];
    for($i=0;$i<100;$i++){
        $val[] = $i;
    }
    return $val;
})();
$filename = 'rand.dat';
//ランダム番号::配列インデックスを取得し表示
print (new randomizeClass)->getRandomIndex($hasArray,array_rand($hasArray),$filename);
print PHP_EOL;
//過去のランダム番号を保存しているデータを取得し表示
print file_get_contents($filename);
print PHP_EOL;

const fruits = ['apple', 'banana', 'orange'];

const hasBanana = fruits.includes('banana');
console.log(hasBanana); // true

const hasGrape = fruits.includes('grape');
console.log(hasGrape); // false

<?php
class Mastodon
{
    const host = "mstdn.jp";
    const endpoint1  = "/api/v1/statuses";
    const endpoint2  = "/api/v1/media";

    public function toot($text){
        $data = array('file' => new CURLFile("/var/www/html/t_m/image.png.webp", 'image/png', "image.png.webp"));
        $ch = curl_init();
        curl_setopt($ch, CURLOPT_URL, "https://" . self::host . self::endpoint2);
        curl_setopt($ch, CURLOPT_POSTFIELDS, $data);
        curl_setopt($ch, CURLOPT_HTTPHEADER, ['User-Agent: ' . $_SERVER['HTTP_USER_AGENT'], 'Content-Type: multipart/form-data', 'Authorization: Bearer ' . MSTDN_ACCESSTOKEN]);
        curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
        curl_setopt($ch, CURLOPT_SSL_VERIFYPEER, FALSE);
        curl_setopt($ch, CURLOPT_SSL_VERIFYHOST, FALSE);
        $response =   json_decode(@curl_exec($ch));
        curl_close($ch);
        if (isset($response->id)) {
            $postdata = [
                "visibility" => "public",
                "media_ids" => [$response->id],
                "status" => strip_tags($text),
            ];
            $data = json_encode($postdata);
            $ch = curl_init();
            curl_setopt($ch, CURLOPT_URL, "https://" . self::host . self::endpoint1);
            curl_setopt($ch, CURLOPT_POSTFIELDS, $data);
            curl_setopt($ch, CURLOPT_HTTPHEADER, ['User-Agent: ' . $_SERVER['HTTP_USER_AGENT'], 'Content-Type: application/json', 'Authorization: Bearer ' . MSTDN_ACCESSTOKEN]);
            curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
            curl_setopt($ch, CURLOPT_SSL_VERIFYPEER, false);
            curl_setopt($ch, CURLOPT_SSL_VERIFYHOST, false);
            $response =  @curl_exec($ch);
            curl_close($ch);
        }
    }
}

MIX_HOGEHOGE=false

        if (isset($appid)) {
            $endpoint = "https://jlp.yahooapis.jp/KeyphraseService/V2/extract";
            $headers = [
                "Content-Type: application/json",
                "User-Agent: Yahoo AppID: ".$appid,
            ]; 
            $param = [
                "id"=> time(),
                "jsonrpc" => "2.0",
                "method" => "jlp.keyphraseservice.extract",
                "params" => [
                    "q"=>preg_replace("/https?:([a-zA-Z0-9|\/|_|\-|%|@|\*|\.|\?|&|=]){0,}/m","",$content)
                    ]
                ];

                $curl=curl_init($endpoint);
                curl_setopt($curl,CURLOPT_POST, TRUE);
                curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
                curl_setopt($curl,CURLOPT_POSTFIELDS, json_encode($param));
                curl_setopt($curl,CURLOPT_SSL_VERIFYPEER, FALSE);
                curl_setopt($curl,CURLOPT_SSL_VERIFYHOST, FALSE);
                curl_setopt($curl,CURLOPT_RETURNTRANSFER, TRUE);
                
                $response =  json_decode(curl_exec($curl));


            if (isset($response->result->phrases)) {
                foreach ($response->result->phrases as $keys=>$word) {
                    if ($word->text) {
                        $tags[] = $word->text;
                    }
                    if (is_array($tags)) {
                        wp_set_post_tags($post_id, implode(",", array_unique($tags)), false);
                    }
                }
            }
        }

<?php
define("APIKEY","xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx");

class Hieagana{
	public function main($str="漢字が混ざっている文章"){
		if(!$str){return false;}
		$headers = array(
			"Content-Type: application/x-www-form-urlencoded",
		);
		// app_id（必須項目）	アプリケーションID
		// request_id	リクエストID
		// 省略時は"labs.goo.ne.jp[タブ文字]リクエスト受付時刻[タブ文字]連番"となります。
		// sentence（必須項目）	解析対象テキスト
		// output_type (必須項目)	出力種別
		// hiragana(ひらがな化)、katakana(カタカナ化)のどちらかを指定してください。
		$params = [
			"app_id"=>APIKEY,
			"sentence"=>$str,
			"output_type"=>"hiragana"
		];

		$curl = curl_init("https://labs.goo.ne.jp/api/hiragana");
		curl_setopt($curl, CURLOPT_CUSTOMREQUEST, "POST");
		curl_setopt($curl, CURLOPT_RETURNTRANSFER, TRUE);
		curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
		curl_setopt($curl, CURLOPT_POSTFIELDS, http_build_query($params));
		curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, FALSE);  
		curl_setopt($curl, CURLOPT_SSL_VERIFYHOST, FALSE);  
		curl_setopt($curl, CURLOPT_FOLLOWLOCATION, TRUE);
		
		$output =  (object)json_decode(curl_exec($curl));
		curl_close($curl);

		var_dump($output);

	}
}

if($argv[0]){
	(new Hieagana)->main($argv[1]);
}

function createWindow() {
    mainWindow = new BrowserWindow({ width: 800, height: 600 , webPreferences: {
        nodeIntegration: true
	}});

const path = require('path');
function createWindow() {
    mainWindow = new BrowserWindow({ width: 800, height: 600 , webPreferences: {
        nodeIntegration: false,
        contextIsolation: true,
        preload: path.join(__dirname, "preload.js")
	}});

const { contextBridge, ipcRenderer} = require("electron");
const request = require('request');//使ってないけど?


contextBridge.exposeInMainWorld(
    "hoge_hoge", {
        send: (data) => {
           consloe.log(data);
           document.getElementById("hoge").innerHtml = "Hey!! " + data;
           ipcRenderer.send("Hey!! " + data);
        },
        receive: (data) => {
                consloe.log(data);  
                //ipcRenderer.on(channel, (event, ...args) => func(...args));
        }
    }
);

<button id="btn">Hey!!</button>
<span id="hoge"></span>
<script>
	document.getElementById("btn").addEventListener("click",(e)=>{
		window.hoge_hoge.send("hogeO!!");
	});
</script>

<?php
function mecab_tw_like($txt="",$connection=Null){
    if(!$txt)return false;
    if(!is_object($connection))return false;
    $cmd = "echo "$txt" | mecab";
    exec($cmd, $opt, $return_ver);
    //var_dump($opt);
    foreach($opt as $key=>$val){
        $r = explode("t",$val);
        if(preg_match("/名詞/",$r[1])){
            $statuses = $connection->get(
                'search/tweets',
                array(
                    'q'                 => $r[0],
                    'count'             => '3',
                    'lang'              => 'ja',
                    'locale'            => 'ja',
                    'result_type'       => 'recent',
                    'include_entities'  => 'false'
                )
            );
            if(is_array($statuses->statuses) and $statuses->statuses){
                foreach( $statuses->statuses as $tweet ){
                    $id = $tweet->id;
                    $result = $connection->post(
                        'favorites/create',
                        array(
                            'id' => $id
                        )
                    );
                }
            }
        }
    }
}

#!/usr/local/bin/python3
# coding:utf-8
import os
import sys
import MeCab
import gensim
import markovify
import unicodedata
model = gensim.models.KeyedVectors.load_word2vec_format('/var/www/html/model.vec', binary=False)
f = open('merosu.txt')
tagger = MeCab.Tagger("-Owakati")
tagger.parse('')
text0 = tagger.parse(f.read())
text1 = text0
text0 = text0.replace('\n','')
text0 = text0.replace('\r','')
text1x = text0.split(" ")
text2 = []
try:
    for item in text1x:
        if item.strip():
            results  = model.most_similar(positive=[item],topn=2)
            #"print(results)
            for val1 in results:
                text2.append(val1[0] + "\n")
#
    # print (text1)
    # print (" ".join(text2))
    model_a = markovify.Text(text1 + "\n")
    print(str(model_a.make_sentence()).replace(' ',''))
    model_b = markovify.Text(" ".join(text2))
    print(str(model_b.make_sentence()).replace(' ',''))
    model_combo = markovify.combine([model_a, model_b], [1, 1])
    print(str(model_combo.make_sentence()).replace(' ',''))
except Exception as e:
    print("動作エラー", e.args)
    pass