forked from mirror/DotRecast
128 lines
3.8 KiB
C#
128 lines
3.8 KiB
C#
/*
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Copyright (c) 2009-2010 Mikko Mononen memon@inside.org
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recast4j copyright (c) 2015-2019 Piotr Piastucki piotr@jtilia.org
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DotRecast Copyright (c) 2023 Choi Ikpil ikpil@naver.com
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This software is provided 'as-is', without any express or implied
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warranty. In no event will the authors be held liable for any damages
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arising from the use of this software.
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Permission is granted to anyone to use this software for any purpose,
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including commercial applications, and to alter it and redistribute it
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freely, subject to the following restrictions:
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1. The origin of this software must not be misrepresented; you must not
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claim that you wrote the original software. If you use this software
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in a product, an acknowledgment in the product documentation would be
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appreciated but is not required.
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2. Altered source versions must be plainly marked as such, and must not be
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misrepresented as being the original software.
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3. This notice may not be removed or altered from any source distribution.
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*/
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using System;
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namespace DotRecast.Detour.Crowd.Tracking
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{
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using static DetourCommon;
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public class ObstacleAvoidanceDebugData {
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int m_nsamples;
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int m_maxSamples;
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float[] m_vel;
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float[] m_ssize;
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float[] m_pen;
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float[] m_vpen;
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float[] m_vcpen;
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float[] m_spen;
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float[] m_tpen;
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public ObstacleAvoidanceDebugData(int maxSamples) {
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m_maxSamples = maxSamples;
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m_vel = new float[3 * m_maxSamples];
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m_pen = new float[m_maxSamples];
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m_ssize = new float[m_maxSamples];
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m_vpen = new float[m_maxSamples];
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m_vcpen = new float[m_maxSamples];
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m_spen = new float[m_maxSamples];
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m_tpen = new float[m_maxSamples];
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}
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public void reset() {
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m_nsamples = 0;
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}
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void normalizeArray(float[] arr, int n) {
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// Normalize penaly range.
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float minPen = float.MaxValue;
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float maxPen = -float.MaxValue;
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for (int i = 0; i < n; ++i) {
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minPen = Math.Min(minPen, arr[i]);
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maxPen = Math.Max(maxPen, arr[i]);
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}
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float penRange = maxPen - minPen;
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float s = penRange > 0.001f ? (1.0f / penRange) : 1;
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for (int i = 0; i < n; ++i)
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arr[i] = clamp((arr[i] - minPen) * s, 0.0f, 1.0f);
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}
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public void normalizeSamples() {
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normalizeArray(m_pen, m_nsamples);
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normalizeArray(m_vpen, m_nsamples);
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normalizeArray(m_vcpen, m_nsamples);
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normalizeArray(m_spen, m_nsamples);
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normalizeArray(m_tpen, m_nsamples);
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}
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public void addSample(float[] vel, float ssize, float pen, float vpen, float vcpen, float spen, float tpen) {
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if (m_nsamples >= m_maxSamples)
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return;
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m_vel[m_nsamples * 3] = vel[0];
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m_vel[m_nsamples * 3 + 1] = vel[1];
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m_vel[m_nsamples * 3 + 2] = vel[2];
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m_ssize[m_nsamples] = ssize;
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m_pen[m_nsamples] = pen;
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m_vpen[m_nsamples] = vpen;
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m_vcpen[m_nsamples] = vcpen;
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m_spen[m_nsamples] = spen;
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m_tpen[m_nsamples] = tpen;
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m_nsamples++;
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}
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public int getSampleCount() {
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return m_nsamples;
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}
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public float[] getSampleVelocity(int i) {
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float[] vel = new float[3];
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vel[0] = m_vel[i * 3];
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vel[1] = m_vel[i * 3 + 1];
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vel[2] = m_vel[i * 3 + 2];
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return vel;
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}
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public float getSampleSize(int i) {
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return m_ssize[i];
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}
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public float getSamplePenalty(int i) {
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return m_pen[i];
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}
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public float getSampleDesiredVelocityPenalty(int i) {
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return m_vpen[i];
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}
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public float getSampleCurrentVelocityPenalty(int i) {
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return m_vcpen[i];
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}
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public float getSamplePreferredSidePenalty(int i) {
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return m_spen[i];
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}
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public float getSampleCollisionTimePenalty(int i) {
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return m_tpen[i];
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}
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}
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} |