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				/**
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				 * $Id$
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				 *
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				 * Blender.Noise BPython module implementation.
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				 * This submodule has functions to generate noise of various types.
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				 * 
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				 * ***** BEGIN GPL LICENSE BLOCK *****
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				 *
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				 * This program is free software; you can redistribute it and/or
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				 * modify it under the terms of the GNU General Public License
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				 * as published by the Free Software Foundation; either version 2
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				 * of the License, or (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, write to the Free Software Foundation,
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				 * Inc., 59 Temple Place - Suite 330, Boston, MA	02111-1307, USA.
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				 *
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				 * The Original Code is Copyright (C) 2001-2002 by NaN Holding BV.
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				 * All rights reserved.
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				 *
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				 * This is a new part of Blender.
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				 *
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				 * Contributor(s): eeshlo
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				 *
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				 * ***** END GPL LICENSE BLOCK *****
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				*/
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				/************************/
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				/* Blender Noise Module */
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				/************************/
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				#include <Python.h>
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				#include "structseq.h"
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				#include "BLI_blenlib.h"
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				#include "DNA_texture_types.h"
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				/*-----------------------------------------*/
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				/* 'mersenne twister' random number generator */
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				/* 
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				   A C-program for MT19937, with initialization improved 2002/2/10.
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				   Coded by Takuji Nishimura and Makoto Matsumoto.
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				   This is a faster version by taking Shawn Cokus's optimization,
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				   Matthe Bellew's simplification, Isaku Wada's real version.
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				   Before using, initialize the state by using init_genrand(seed) 
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				   or init_by_array(init_key, key_length).
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				   Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
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				   All rights reserved.                          
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				   Redistribution and use in source and binary forms, with or without
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				   modification, are permitted provided that the following conditions
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				   are met:
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				     1. Redistributions of source code must retain the above copyright
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				        notice, this list of conditions and the following disclaimer.
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				     2. Redistributions in binary form must reproduce the above copyright
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				        notice, this list of conditions and the following disclaimer in the
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				        documentation and/or other materials provided with the distribution.
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				     3. The names of its contributors may not be used to endorse or promote 
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				        products derived from this software without specific prior written 
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				        permission.
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				   THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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				   "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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				   LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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				   A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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				   CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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				   EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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				   PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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				   PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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				   LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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				   NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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				   SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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				   Any feedback is very welcome.
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				   http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html
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				   email: m-mat @ math.sci.hiroshima-u.ac.jp (remove space)
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				*/
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				/* 2.5 update
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				 * Noise.setRandomSeed --> seed_set
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				 * Noise.randuvec --> random_unit_vector
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				 * Noise.vNoise --> noise_vector
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				 * Noise.vTurbulence --> turbulence_vector
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				 * Noise.multiFractal --> multi_fractal
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				 * Noise.cellNoise --> cell
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				 * Noise.cellNoiseV --> cell_vector
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				 * Noise.vlNoise --> vl_vector
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				 * Noise.heteroTerrain --> hetero_terrain
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				 * Noise.hybridMFractal --> hybrid_multi_fractal
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				 * Noise.fBm --> fractal
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				 * Noise.ridgedMFractal --> ridged_multi_fractal
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				 *
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				 * Const's *
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				 * Noise.NoiseTypes --> types
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				 * Noise.DistanceMetrics --> distance_metrics
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				 */
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				/* Period parameters */
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				#define N 624
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				#define M 397
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				#define MATRIX_A 0x9908b0dfUL	/* constant vector a */
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				#define UMASK 0x80000000UL	/* most significant w-r bits */
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				#define LMASK 0x7fffffffUL	/* least significant r bits */
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				#define MIXBITS(u,v) (((u) & UMASK) | ((v) & LMASK))
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				#define TWIST(u,v) ((MIXBITS(u,v) >> 1) ^ ((v)&1UL ? MATRIX_A : 0UL))
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				static unsigned long state[N];	/* the array for the state vector  */
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				static int left = 1;
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				static int initf = 0;
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				static unsigned long *next;
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				PyObject *Noise_Init(void);
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				/* initializes state[N] with a seed */
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				static void init_genrand(unsigned long s)
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				{
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					int j;
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					state[0] = s & 0xffffffffUL;
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					for(j = 1; j < N; j++) {
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						state[j] =
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							(1812433253UL *
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							  (state[j - 1] ^ (state[j - 1] >> 30)) + j);
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						/* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
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						/* In the previous versions, MSBs of the seed affect   */
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						/* only MSBs of the array state[].                        */
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						/* 2002/01/09 modified by Makoto Matsumoto             */
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						state[j] &= 0xffffffffUL;	/* for >32 bit machines */
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					}
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					left = 1;
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					initf = 1;
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				}
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				static void next_state(void)
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				{
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					unsigned long *p = state;
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					int j;
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					/* if init_genrand() has not been called, */
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					/* a default initial seed is used         */
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					if(initf == 0)
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						init_genrand(5489UL);
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					left = N;
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					next = state;
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					for(j = N - M + 1; --j; p++)
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						*p = p[M] ^ TWIST(p[0], p[1]);
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					for(j = M; --j; p++)
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						*p = p[M - N] ^ TWIST(p[0], p[1]);
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					*p = p[M - N] ^ TWIST(p[0], state[0]);
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				}
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				/*------------------------------------------------------------*/
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				static void setRndSeed(int seed)
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				{
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					if(seed == 0)
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						init_genrand(time(NULL));
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					else
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						init_genrand(seed);
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				}
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				/* float number in range [0, 1) using the mersenne twister rng */
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				static float frand()
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				{
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					unsigned long y;
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					if(--left == 0)
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						next_state();
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					y = *next++;
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					/* Tempering */
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					y ^= (y >> 11);
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					y ^= (y << 7) & 0x9d2c5680UL;
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					y ^= (y << 15) & 0xefc60000UL;
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					y ^= (y >> 18);
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					return (float) y / 4294967296.f;
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				}
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				/*------------------------------------------------------------*/
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				/* returns random unit vector */
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				static void randuvec(float v[3])
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				{
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					float r;
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					v[2] = 2.f * frand() - 1.f;
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			 | 
			 | 
			
					if((r = 1.f - v[2] * v[2]) > 0.f) {
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						float a = (float)(6.283185307f * frand());
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						r = (float)sqrt(r);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[0] = (float)(r * cos(a));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[1] = (float)(r * sin(a));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					} else
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[2] = 1.f;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_random(PyObject * self)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(frand());
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_random_unit_vector(PyObject * self)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float v[3] = {0.0f, 0.0f, 0.0f};
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					randuvec(v);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return Py_BuildValue("[fff]", v[0], v[1], v[2]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*---------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/* Random seed init. Only used for MT random() & randuvec() */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_seed_set(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int s;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "i:seed_set", &s))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					setRndSeed(s);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					Py_RETURN_NONE;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*-------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/* General noise */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_noise(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)|i:noise", &x, &y, &z, &nb))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble((2.0 * BLI_gNoise(1.0, x, y, z, 0, nb) - 1.0));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*-------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/* General Vector noise */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static void noise_vector(float x, float y, float z, int nb, float v[3])
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					/* Simply evaluate noise at 3 different positions */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					v[0] = (float)(2.0 * BLI_gNoise(1.f, x + 9.321f, y - 1.531f, z - 7.951f, 0,
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
								 nb) - 1.0);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					v[1] = (float)(2.0 * BLI_gNoise(1.f, x, y, z, 0, nb) - 1.0);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					v[2] = (float)(2.0 * BLI_gNoise(1.f, x + 6.327f, y + 0.1671f, z - 2.672f, 0,
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
								 nb) - 1.0);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_vector(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, v[3];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)|i:vector", &x, &y, &z, &nb))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					noise_vector(x, y, z, nb, v);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return Py_BuildValue("[fff]", v[0], v[1], v[2]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*---------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/* General turbulence */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static float turb(float x, float y, float z, int oct, int hard, int nb,
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						   float ampscale, float freqscale)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float amp, out, t;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int i;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					amp = 1.f;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					out = (float)(2.0 * BLI_gNoise(1.f, x, y, z, 0, nb) - 1.0);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(hard)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						out = (float)fabs(out);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					for(i = 1; i < oct; i++) {
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						amp *= ampscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						x *= freqscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						y *= freqscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						z *= freqscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						t = (float)(amp * (2.0 * BLI_gNoise(1.f, x, y, z, 0, nb) - 1.0));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						if(hard)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							t = (float)fabs(t);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						out += t;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return out;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_turbulence(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int oct, hd, nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float as = 0.5, fs = 2.0;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)ii|iff:turbulence", &x, &y, &z, &oct, &hd, &nb, &as, &fs))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(turb(x, y, z, oct, hd, nb, as, fs));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*--------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/* Turbulence Vector */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static void vTurb(float x, float y, float z, int oct, int hard, int nb,
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						   float ampscale, float freqscale, float v[3])
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float amp, t[3];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int i;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					amp = 1.f;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					noise_vector(x, y, z, nb, v);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(hard) {
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[0] = (float)fabs(v[0]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[1] = (float)fabs(v[1]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[2] = (float)fabs(v[2]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					for(i = 1; i < oct; i++) {
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						amp *= ampscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						x *= freqscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						y *= freqscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						z *= freqscale;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						noise_vector(x, y, z, nb, t);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						if(hard) {
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							t[0] = (float)fabs(t[0]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							t[1] = (float)fabs(t[1]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							t[2] = (float)fabs(t[2]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[0] += amp * t[0];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[1] += amp * t[1];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						v[2] += amp * t[2];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_turbulence_vector(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, v[3];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int oct, hd, nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float as = 0.5, fs = 2.0;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)ii|iff:turbulence_vector", &x, &y, &z, &oct, &hd, &nb, &as, &fs))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					vTurb(x, y, z, oct, hd, nb, as, fs, v);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return Py_BuildValue("[fff]", v[0], v[1], v[2]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*---------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/* F. Kenton Musgrave's fractal functions */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_fractal(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, H, lac, oct;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)fff|i:fractal", &x, &y, &z, &H, &lac, &oct, &nb))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(mg_fBm(x, y, z, H, lac, oct, nb));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_multi_fractal(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, H, lac, oct;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)fff|i:multi_fractal", &x, &y, &z, &H, &lac, &oct, &nb))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(mg_MultiFractal(x, y, z, H, lac, oct, nb));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_vl_vector(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, d;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nt1 = 1, nt2 = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)f|ii:vl_vector", &x, &y, &z, &d, &nt1, &nt2))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(mg_VLNoise(x, y, z, d, nt1, nt2));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*-------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_hetero_terrain(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, H, lac, oct, ofs;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)ffff|i:hetero_terrain", &x, &y, &z, &H, &lac, &oct, &ofs, &nb))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
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 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(mg_HeteroTerrain(x, y, z, H, lac, oct, ofs, nb));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
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				/*-------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
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				static PyObject *Noise_hybrid_multi_fractal(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
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				 | 
			
			 | 
			 | 
			
					float x, y, z, H, lac, oct, ofs, gn;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)fffff|i:hybrid_multi_fractal", &x, &y, &z, &H, &lac, &oct, &ofs, &gn, &nb))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(mg_HybridMultiFractal(x, y, z, H, lac, oct, ofs, gn, nb));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
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				/*------------------------------------------------------------------------*/
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				static PyObject *Noise_ridged_multi_fractal(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, H, lac, oct, ofs, gn;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int nb = 1;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)fffff|i:ridged_multi_fractal", &x, &y, &z, &H, &lac, &oct, &ofs, &gn, &nb))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(mg_RidgedMultiFractal(x, y, z, H, lac, oct, ofs, gn, nb));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
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				/*-------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
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				static PyObject *Noise_voronoi(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, da[4], pa[12];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					int dtype = 0;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float me = 2.5;		/* default minkovsky exponent */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff)|if:voronoi", &x, &y, &z, &dtype, &me))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					voronoi(x, y, z, da, pa, me, dtype);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return Py_BuildValue("[[ffff][[fff][fff][fff][fff]]]",
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							      da[0], da[1], da[2], da[3],
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							      pa[0], pa[1], pa[2],
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							      pa[3], pa[4], pa[5],
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							      pa[6], pa[7], pa[8], pa[9], pa[10], pa[11]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*-------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
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 | 
			
		
		
	
		
			
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			 | 
			
				static PyObject *Noise_cell(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff):cell", &x, &y, &z))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return PyFloat_FromDouble(cellNoise(x, y, z));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*--------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static PyObject *Noise_cell_vector(PyObject * self, PyObject * args)
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				{
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					float x, y, z, ca[3];
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					if(!PyArg_ParseTuple(args, "(fff):cell_vector", &x, &y, &z))
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					cellNoiseV(x, y, z, ca);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return Py_BuildValue("[fff]", ca[0], ca[1], ca[2]);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/*--------------------------------------------------------------------------*/
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				/* For all other Blender modules, this stuff seems to be put in a header file.
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				   This doesn't seem really appropriate to me, so I just put it here, feel free to change it.
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				   In the original module I actually kept the docs stings with the functions themselves,
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				   but I grouped them here so that it can easily be moved to a header if anyone thinks that is necessary. */
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char random__doc__[] = "() No arguments.\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns a random floating point number in the range [0, 1)";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char random_unit_vector__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"() No arguments.\n\nReturns a random unit vector (3-float list).";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char seed_set__doc__[] = "(seed value)\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Initializes random number generator.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				if seed is zero, the current time will be used instead.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char noise__doc__[] = "((x,y,z) tuple, [noisetype])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns general noise of the optional specified type.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional argument noisetype determines the type of noise, STDPERLIN by default, see NoiseTypes.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char noise_vector__doc__[] = "((x,y,z) tuple, [noisetype])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns noise vector (3-float list) of the optional specified type.\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional argument noisetype determines the type of noise, STDPERLIN by default, see NoiseTypes.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char turbulence__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, octaves, hard, [noisebasis], [ampscale], [freqscale])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns general turbulence value using the optional specified noisebasis function.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				octaves (integer) is the number of noise values added.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				hard (bool), when false (0) returns 'soft' noise, when true (1) returns 'hard' noise (returned value always positive).\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional arguments:\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				ampscale sets the amplitude scale value of the noise frequencies added, 0.5 by default.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				freqscale sets the frequency scale factor, 2.0 by default.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char turbulence_vector__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, octaves, hard, [noisebasis], [ampscale], [freqscale])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns general turbulence vector (3-float list) using the optional specified noisebasis function.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				octaves (integer) is the number of noise values added.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				hard (bool), when false (0) returns 'soft' noise, when true (1) returns 'hard' noise (returned vector always positive).\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional arguments:\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				ampscale sets the amplitude scale value of the noise frequencies added, 0.5 by default.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				freqscale sets the frequency scale factor, 2.0 by default.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char fractal__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, H, lacunarity, octaves, [noisebasis])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns Fractal Brownian Motion noise value(fBm).\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				H is the fractal increment parameter.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				lacunarity is the gap between successive frequencies.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				octaves is the number of frequencies in the fBm.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char multi_fractal__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, H, lacunarity, octaves, [noisebasis])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns Multifractal noise value.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				H determines the highest fractal dimension.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				lacunarity is gap between successive frequencies.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				octaves is the number of frequencies in the fBm.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char vl_vector__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, distortion, [noisetype1], [noisetype2])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Returns Variable Lacunarity Noise value, a distorted variety of noise.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				distortion sets the amount of distortion.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional arguments noisetype1 and noisetype2 set the noisetype to distort and the noisetype used for the distortion respectively.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				See NoiseTypes, both are STDPERLIN by default.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char hetero_terrain__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, H, lacunarity, octaves, offset, [noisebasis])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				returns Heterogeneous Terrain value\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				H determines the fractal dimension of the roughest areas.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				lacunarity is the gap between successive frequencies.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				octaves is the number of frequencies in the fBm.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				offset raises the terrain from 'sea level'.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char hybrid_multi_fractal__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, H, lacunarity, octaves, offset, gain, [noisebasis])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				returns Hybrid Multifractal value.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				H determines the fractal dimension of the roughest areas.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				lacunarity is the gap between successive frequencies.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				octaves is the number of frequencies in the fBm.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				offset raises the terrain from 'sea level'.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				gain scales the values.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char ridged_multi_fractal__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, H, lacunarity, octaves, offset, gain [noisebasis])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				returns Ridged Multifractal value.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				H determines the fractal dimension of the roughest areas.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				lacunarity is the gap between successive frequencies.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				octaves is the number of frequencies in the fBm.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				offset raises the terrain from 'sea level'.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				gain scales the values.\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char voronoi__doc__[] =
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					"((x,y,z) tuple, distance_metric, [exponent])\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				returns a list, containing a list of distances in order of closest feature,\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				and a list containing the positions of the four closest features\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				Optional arguments:\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				distance_metric: see DistanceMetrics, default is DISTANCE\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				exponent is only used with MINKOVSKY, default is 2.5.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char cell__doc__[] = "((x,y,z) tuple)\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				returns cellnoise float value.";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char cell_vector__doc__[] = "((x,y,z) tuple)\n\n\
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				returns cellnoise vector/point/color (3-float list).";
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				static char Noise__doc__[] = "Blender Noise and Turbulence Module\n\n\
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				This module can be used to generate noise of various types.\n\
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				This can be used for terrain generation, to create textures,\n\
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				make animations more 'animated', object deformation, etc.\n\
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				As an example, this code segment when scriptlinked to a framechanged event,\n\
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				will make the camera sway randomly about, by changing parameters this can\n\
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				look like anything from an earthquake to a very nervous or maybe even drunk cameraman...\n\
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				(the camera needs an ipo with at least one Loc & Rot key for this to work!):\n\
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				\n\
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				\tfrom Blender import Get, Scene, Noise\n\
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				\n\
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				\t####################################################\n\
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				\t# This controls jitter speed\n\
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				\tsl = 0.025\n\
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				\t# This controls the amount of position jitter\n\
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				\tsp = 0.1\n\
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				\t# This controls the amount of rotation jitter\n\
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				\tsr = 0.25\n\
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				\t####################################################\n\
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				\n\
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				\ttime = Get('curtime')\n\
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				\tob = Scene.GetCurrent().getCurrentCamera()\n\
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				\tps = (sl*time, sl*time, sl*time)\n\
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				\t# To add jitter only when the camera moves, use this next line instead\n\
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				\t#ps = (sl*ob.LocX, sl*ob.LocY, sl*ob.LocZ)\n\
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				\trv = Noise.turbulence_vector(ps, 3, 0, Noise.NoiseTypes.NEWPERLIN)\n\
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				\tob.dloc = (sp*rv[0], sp*rv[1], sp*rv[2])\n\
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				\tob.drot = (sr*rv[0], sr*rv[1], sr*rv[2])\n\
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				\n";
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				/* Just in case, declarations for a header file */
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				/*
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				static PyObject *Noise_random(PyObject *self);
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				static PyObject *Noise_random_unit_vector(PyObject *self);
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				static PyObject *Noise_seed_set(PyObject *self, PyObject *args);
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				static PyObject *Noise_noise(PyObject *self, PyObject *args);
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				static PyObject *Noise_vector(PyObject *self, PyObject *args);
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				static PyObject *Noise_turbulence(PyObject *self, PyObject *args);
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				static PyObject *Noise_turbulence_vector(PyObject *self, PyObject *args);
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				static PyObject *Noise_fractal(PyObject *self, PyObject *args);
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				static PyObject *Noise_multi_fractal(PyObject *self, PyObject *args);
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				static PyObject *Noise_vl_vector(PyObject *self, PyObject *args);
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				static PyObject *Noise_hetero_terrain(PyObject *self, PyObject *args);
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				static PyObject *Noise_hybrid_multi_fractal(PyObject *self, PyObject *args);
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				static PyObject *Noise_ridged_multi_fractal(PyObject *self, PyObject *args);
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				static PyObject *Noise_voronoi(PyObject *self, PyObject *args);
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				static PyObject *Noise_cell(PyObject *self, PyObject *args);
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				static PyObject *Noise_cell_vector(PyObject *self, PyObject *args);
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				*/
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				static PyMethodDef NoiseMethods[] = {
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					{"seed_set", (PyCFunction) Noise_seed_set, METH_VARARGS, seed_set__doc__},
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					{"random", (PyCFunction) Noise_random, METH_NOARGS, random__doc__},
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					{"random_unit_vector", (PyCFunction) Noise_random_unit_vector, METH_NOARGS, random_unit_vector__doc__},
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					{"noise", (PyCFunction) Noise_noise, METH_VARARGS, noise__doc__},
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					{"vector", (PyCFunction) Noise_vector, METH_VARARGS, noise_vector__doc__},
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					{"turbulence", (PyCFunction) Noise_turbulence, METH_VARARGS, turbulence__doc__},
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					{"turbulence_vector", (PyCFunction) Noise_turbulence_vector, METH_VARARGS, turbulence_vector__doc__},
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					{"fractal", (PyCFunction) Noise_fractal, METH_VARARGS, fractal__doc__},
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					{"multi_fractal", (PyCFunction) Noise_multi_fractal, METH_VARARGS, multi_fractal__doc__},
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					{"vl_vector", (PyCFunction) Noise_vl_vector, METH_VARARGS, vl_vector__doc__},
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					{"hetero_terrain", (PyCFunction) Noise_hetero_terrain, METH_VARARGS, hetero_terrain__doc__},
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					{"hybrid_multi_fractal", (PyCFunction) Noise_hybrid_multi_fractal, METH_VARARGS, hybrid_multi_fractal__doc__},
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					{"ridged_multi_fractal", (PyCFunction) Noise_ridged_multi_fractal, METH_VARARGS, ridged_multi_fractal__doc__},
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					{"voronoi", (PyCFunction) Noise_voronoi, METH_VARARGS, voronoi__doc__},
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					{"cell", (PyCFunction) Noise_cell, METH_VARARGS, cell__doc__},
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					{"cell_vector", (PyCFunction) Noise_cell_vector, METH_VARARGS, cell_vector__doc__},
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					{NULL, NULL, 0, NULL}
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				};
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				/*----------------------------------------------------------------------*/
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				static struct PyModuleDef noise_module_def = {
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					PyModuleDef_HEAD_INIT,
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					"noise",  /* m_name */
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					Noise__doc__,  /* m_doc */
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					0,  /* m_size */
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					NoiseMethods,  /* m_methods */
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					0,  /* m_reload */
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					0,  /* m_traverse */
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					0,  /* m_clear */
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					0,  /* m_free */
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				};
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				PyObject *Noise_Init(void)
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				{
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					PyObject *submodule = PyModule_Create(&noise_module_def);
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					PyDict_SetItemString(PySys_GetObject("modules"), noise_module_def.m_name, submodule);
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					/* use current time as seed for random number generator by default */
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					setRndSeed(0);	
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					/* Constant noisetype dictionary */
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					if(submodule) {
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						static PyStructSequence_Field noise_types_fields[] = {
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							{"BLENDER", ""},
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							{"STDPERLIN", ""},
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							{"NEWPERLIN", ""},
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							{"VORONOI_F1", ""},
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							{"VORONOI_F2", ""},
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							{"VORONOI_F3", ""},
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							{"VORONOI_F4", ""},
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							{"VORONOI_F2F1", ""},
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							{"VORONOI_CRACKLE", ""},
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							{"CELLNOISE", ""},
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							{0}
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						};
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						static PyStructSequence_Desc noise_types_info_desc = {
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							"noise.types",     /* name */
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							"Noise type",    /* doc */
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							noise_types_fields,    /* fields */
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							(sizeof(noise_types_fields)/sizeof(PyStructSequence_Field)) - 1
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						};
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						static PyTypeObject NoiseType;
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						PyObject *noise_types;
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						int pos = 0;
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						PyStructSequence_InitType(&NoiseType, &noise_types_info_desc);
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						noise_types = PyStructSequence_New(&NoiseType);
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						if (noise_types == NULL) {
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							return NULL;
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						}
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_BLENDER));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_STDPERLIN));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_NEWPERLIN));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F1));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F2));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F3));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F4));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F2F1));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_CRACKLE));
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						PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_CELLNOISE));
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						PyModule_AddObject(submodule, "types", noise_types);
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					}
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					if(submodule) {
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						static PyStructSequence_Field distance_metrics_fields[] = {
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							{"DISTANCE", ""},
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							{"DISTANCE_SQUARED", ""},
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							{"MANHATTAN", ""},
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							{"CHEBYCHEV", ""},
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							{"MINKOVSKY_HALF", ""},
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							{"MINKOVSKY_FOUR", ""},
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							{"MINKOVSKY", ""},
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							{0}
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						};
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						static PyStructSequence_Desc noise_types_info_desc = {
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							"noise.distance_metrics",     /* name */
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			 | 
			 | 
			
							"Distance Metrics for noise module.",    /* doc */
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							distance_metrics_fields,    /* fields */
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							(sizeof(distance_metrics_fields)/sizeof(PyStructSequence_Field)) - 1
 | 
			
		
		
	
		
			
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						};
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						static PyTypeObject DistanceMetrics;
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						PyObject *distance_metrics;
 | 
			
		
		
	
		
			
				 | 
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			 | 
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						int pos = 0;
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				 | 
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			 | 
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						PyStructSequence_InitType(&DistanceMetrics, &noise_types_info_desc);
 | 
			
		
		
	
		
			
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			 | 
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 | 
			
		
		
	
		
			
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						distance_metrics = PyStructSequence_New(&DistanceMetrics);
 | 
			
		
		
	
		
			
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			 | 
			 | 
			
						if (distance_metrics == NULL) {
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
							return NULL;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						}
 | 
			
		
		
	
		
			
				 | 
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						PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_DISTANCE));
 | 
			
		
		
	
		
			
				 | 
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						PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_DISTANCE_SQUARED));
 | 
			
		
		
	
		
			
				 | 
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			 | 
			 | 
			
						PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_MANHATTAN));
 | 
			
		
		
	
		
			
				 | 
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			 | 
			 | 
			
						PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_CHEBYCHEV));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_MINKOVSKY_HALF));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_MINKOVSKY_FOUR));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_MINKOVSKY));
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
						PyModule_AddObject(submodule, "distance_metrics", distance_metrics);
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					}
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
					return submodule;
 | 
			
		
		
	
		
			
				 | 
				 | 
			
			 | 
			 | 
			
				}
 |