63 lines
2.9 KiB
C++
63 lines
2.9 KiB
C++
/*
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** Command & Conquer Generals(tm)
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** Copyright 2025 Electronic Arts Inc.
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**
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** This program is free software: you can redistribute it and/or modify
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** it under the terms of the GNU General Public License as published by
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** the Free Software Foundation, either version 3 of the License, or
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** (at your option) any later version.
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**
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** This program is distributed in the hope that it will be useful,
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** but WITHOUT ANY WARRANTY; without even the implied warranty of
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** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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** GNU General Public License for more details.
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**
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** You should have received a copy of the GNU General Public License
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** along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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////////////////////////////////////////////////////////////////////////////////
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// //
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// (c) 2001-2003 Electronic Arts Inc. //
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// //
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////////////////////////////////////////////////////////////////////////////////
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// FILE: Statistics.cpp
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/*---------------------------------------------------------------------------*/
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/* EA Pacific */
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/* Confidential Information */
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/* Copyright (C) 2001 - All Rights Reserved */
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/* DO NOT DISTRIBUTE */
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/*---------------------------------------------------------------------------*/
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/* Project: RTS3 */
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/* File name: Statistics.cpp */
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/* Created: John K. McDonald, Jr., 4/2/2002 */
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/* Desc: Statistical functions should live here */
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/* Revision History: */
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/* 4/2/2002 : Initial creation */
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/*---------------------------------------------------------------------------*/
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#include "PreRTS.h" // This must go first in EVERY cpp file int the GameEngine
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#include "GameClient/Statistics.h"
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// Solution taken from http://www.epanorama.net/documents/telecom/ulaw_alaw.html
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Real MuLaw(Real valueToRun, Real maxValueForVal, Real mu)
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{
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Real testVal = (valueToRun - maxValueForVal / 2) / (maxValueForVal / 2);
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return (sign(testVal) * log(1 + mu * fabs(testVal)) /
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log(1 + mu));
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}
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// from my head. jkmcd
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Real Normalize(Real valueToNormalize, Real minRange, Real maxRange)
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{
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return ((valueToNormalize - minRange) / (maxRange - minRange));
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}
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// from my head again. jkmcd
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Real NormalizeToRange(Real valueToNormalize, Real minRange, Real maxRange, Real outRangeMin, Real outRangeMax)
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{
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return (Normalize(valueToNormalize, minRange, maxRange) * (outRangeMax - outRangeMin)) + outRangeMin;
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}
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