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