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#region license
/*
This file is public domain.
You may freely do anything with it.

Copyright (c) VPKSoft 2019
*/
#endregion

using System;

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/** \file           WinMain.cpp
 *  \author         rhoot <https://github.com/rhoot>
 *
 *  \brief          Redirects calls from the windows specific WinMain() entry point to a more
 *                  standard main() entry point defined someplace else. In debug builds, also
 *                  allocates a console and redirects stdin, stderr, stdout to that console.
 *
 *  \remark         The std* stream redirection is based on RedirectIOToConsole(), as can be found
 *                  at http://dslweb.nwnexus.com/~ast/dload/guicon.htm.
 */

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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Runtime.InteropServices;



namespace MyCSharpApp
{

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Rem run as administrator
@echo on & @setlocal enableextensions
@echo =========================
@echo Turn off the time service
net stop w32time
@echo ======================================================================
@echo Set the SNTP (Simple Network Time Protocol) source for the time server
w32tm /config /syncfromflags:manual /manualpeerlist:"0.it.pool.ntp.org 1.it.pool.ntp.org 2.it.pool.ntp.org 3.it.pool.ntp.org"
@echo =============================================
@echo ... and then turn on the time service back on

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"""
A demo comparison of three different implementations for estimating Lempel-Ziv complexity (1976)

Implementations compared:
    - Pure Python version, by Naereen
    - Numba (str), as implemented in EntroPy by Raphael Vallat
    - Numba, updated for speed, based on numpy integer arrays

Simple comparisons for equality of estimates and performance to address issue:
    https://github.com/raphaelvallat/entropy/issues/14

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<!-- MSDN -->
<!-- https://msdn.microsoft.com/ja-jp/library/bb613567(v=vs.100).aspx -->

<!-- こちらも凄く参考になります。 -->
<!-- http://grabacr.net/archives/464 -->

<!-- フォーカス時の見た目を消す-->
<TextBox Text="aikazuyendo"
         FocusVisualStyle="{x:Null}" />

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/// <summary>
/// Tolerant Enum converter. Based on code in the StackOverflow post below, but adds EnumMember attribute support.
/// http://stackoverflow.com/questions/22752075/how-can-i-ignore-unknown-enum-values-during-json-deserialization
/// </summary>
public class TolerantEnumConverter : JsonConverter
{
    [ThreadStatic]
    private static Dictionary<Type, Dictionary<string, object>> _fromValueMap; // string representation to Enum value map

    [ThreadStatic]

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/* PROG1.C                                                    */
/* Simple Hashing LZ77 Sliding Dictionary Compression Program */
/* By Rich Geldreich, Jr. October, 1993                       */
/* Originally compiled with QuickC v2.5 in the small model.   */
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <ctype.h>

/* set this to 1 for a greedy encoder */

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% Encoding: UTF-8
@Manual{rlanguage,
	title = {R: A Language and Environment for Statistical Computing},
	author = {{R Core Team}},
	organization = {R Foundation for Statistical Computing},
	address = {Vienna, Austria},
	year = {2015},
	url = {https://www.R-project.org/},
}
@article{schonbrodtbfda,

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Python lru_cache Usage Guide

Overview

The lru_cache decorator in Python's functools module implements a caching strategy known as Least Recently Used (LRU). This strategy helps in optimizing the performance of functions by memorizing the results of expensive function calls and returning the cached result when the same inputs occur again.

Basic Usage

from functools import lru_cache