/* ** Command & Conquer Generals(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 . */ //////////////////////////////////////////////////////////////////////////////// // // // (c) 2001-2003 Electronic Arts Inc. // // // //////////////////////////////////////////////////////////////////////////////// // FILE: Statistics.h /*---------------------------------------------------------------------------*/ /* EA Pacific */ /* Confidential Information */ /* Copyright (C) 2001 - All Rights Reserved */ /* DO NOT DISTRIBUTE */ /*---------------------------------------------------------------------------*/ /* Project: RTS3 */ /* File name: Statistics.h */ /* Created: John K. McDonald, Jr., 4/2/2002 */ /* Desc: Common statistical functions */ /* Revision History: */ /* 4/2/2002 : Initial creation */ /*---------------------------------------------------------------------------*/ #pragma once #ifndef _H_STATISTICS_ #define _H_STATISTICS_ // INCLUDES /////////////////////////////////////////////////////////////////// #include "Lib/Basetype.h" // DEFINES //////////////////////////////////////////////////////////////////// // TYPE DEFINES /////////////////////////////////////////////////////////////// // FORWARD DECLARATIONS /////////////////////////////////////////////////////// // valueToRun is the value (between 0 and maxValueForVal) to test. // mu is designates the steepness of the curve. // The return value is a value in [-1, 1] extern Real MuLaw(Real valueToRun, Real maxValueForVal, Real mu); // valueToNormalize is a value in minRange..maxRange // minRange is the smallest value the range contains // maxRange is the largest value the range contains // the return is a value in [0, 1]. extern Real Normalize(Real valueToNormalize, Real minRange, Real maxRange); // same as Normalize, except that output will be in the range [outRangeMin, outRangeMax] extern Real NormalizeToRange(Real valueToNormalize, Real minRange, Real maxRange, Real outRangeMin, Real outRangeMax); #endif /* _H_STATISTICS_ */