67 lines
3.2 KiB
C

/*
** 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 <http://www.gnu.org/licenses/>.
*/
////////////////////////////////////////////////////////////////////////////////
// //
// (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_ */