taznica

private float ScaleValue(float value, float[] from, float[] to)
{
    var scale = (to[1] - to[0]) / (from[1] - from[0]);
    var capped = Math.Min(from[1], Math.Max(from[0], value)) - from[0];
    return capped * scale + to[0];
}

taznica

class Singleton {
  static final Singleton _singleton = Singleton._();
  factory Singleton() {
    return _singleton;
  }
  Singleton._();
}

taznica

#!/usr/bin/env bash

echo "echo.sh"

./echo_2.sh

taznica

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import tensorflow as tf
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split


def load_data():

taznica

javascript:(function(){window.location.href = window.location.href + '?sort=p';})();

taznica

#!/usr/bin/env python
# -*- coding: utf-8 -*-

def f(s: str, n: int):
    if n > 0:
        return s[:len(s) // 2] * n + s[len(s) // 2:] * n
        # return s[:len(s) // 2] + f(s, n - 1) + s[len(s) // 2:]
    else:
        return ''

taznica

@charset "UTF-8";
/*!
 * Marp irodori theme.
 *
 * @theme irodori
 * @author taznica
 * 
 * @auto-scaling true
 * @size 16:9 1280px 720px
 */

taznica

/*! @theme orange */

/* $color-white: #FFFFF0; */
/* $color-black: #323232; */
/* $color-green: #42B983; */

@import 'default';

section {
    background-color: #FFFFF0;

taznica

console.dog = (bark, l = bark.toString().length / 1.66) => {
    console.log(`
            /￣${`￣￣`.repeat(l)}￣
        🐶 <  `,bark,`
            \\＿${`＿＿`.repeat(l)}＿
    `)
}

console.dog('wan wan')
console.dog({ja: 'wan wan', en: 'bow wow'})

taznica

#!/usr/bin/env python
# -*- coding: utf-8 -*-


class Singleton:
    _instance = None

    def __new__(cls, *args, **kwargs):
        if cls._instance is None:
            cls._instance = super(Singleton, cls).__new__(cls)