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author | Campbell Barton <ideasman42@gmail.com> | 2011-11-29 14:34:23 +0400 |
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committer | Campbell Barton <ideasman42@gmail.com> | 2011-11-29 14:34:23 +0400 |
commit | 53d14a78b5eca95d86063a38c2f1d5d6b7460edf (patch) | |
tree | 55b0494fb213967477ea9d1bc14fd6b7e5458baa /source/blender/python/generic | |
parent | f95d7c9e66cc8ab2aca9cc82c95828288f1e3df0 (diff) |
missed removing these files
Diffstat (limited to 'source/blender/python/generic')
-rw-r--r-- | source/blender/python/generic/noise_py_api.c | 792 | ||||
-rw-r--r-- | source/blender/python/generic/noise_py_api.h | 32 |
2 files changed, 0 insertions, 824 deletions
diff --git a/source/blender/python/generic/noise_py_api.c b/source/blender/python/generic/noise_py_api.c deleted file mode 100644 index 902e64eb7c1..00000000000 --- a/source/blender/python/generic/noise_py_api.c +++ /dev/null @@ -1,792 +0,0 @@ -/* - * ***** BEGIN GPL LICENSE BLOCK ***** - * - * 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 2 - * 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, write to the Free Software Foundation, - * Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. - * - * The Original Code is Copyright (C) 2001-2002 by NaN Holding BV. - * All rights reserved. - * - * This is a new part of Blender. - * - * Contributor(s): eeshlo, Campbell Barton - * - * ***** END GPL LICENSE BLOCK ***** - */ - -/** \file blender/python/generic/noise_py_api.c - * \ingroup pygen - * - * This file defines the 'noise' module, a general purpose module to access - * blenders noise functions. - */ - - -/************************/ -/* Blender Noise Module */ -/************************/ - -#include <Python.h> - -#include "structseq.h" - -#include "BLI_blenlib.h" -#include "BLI_utildefines.h" - -#include "DNA_texture_types.h" - -#include "noise_py_api.h" - -/*-----------------------------------------*/ -/* 'mersenne twister' random number generator */ - -/* - A C-program for MT19937, with initialization improved 2002/2/10. - Coded by Takuji Nishimura and Makoto Matsumoto. - This is a faster version by taking Shawn Cokus's optimization, - Matthe Bellew's simplification, Isaku Wada's real version. - - Before using, initialize the state by using init_genrand(seed) - or init_by_array(init_key, key_length). - - Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura, - All rights reserved. - - Redistribution and use in source and binary forms, with or without - modification, are permitted provided that the following conditions - are met: - - 1. Redistributions of source code must retain the above copyright - notice, this list of conditions and the following disclaimer. - - 2. Redistributions in binary form must reproduce the above copyright - notice, this list of conditions and the following disclaimer in the - documentation and/or other materials provided with the distribution. - - 3. The names of its contributors may not be used to endorse or promote - products derived from this software without specific prior written - permission. - - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT - LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR - A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR - CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, - EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR - PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF - LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING - NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS - SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - - Any feedback is very welcome. - http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html - email: m-mat @ math.sci.hiroshima-u.ac.jp (remove space) -*/ - -/* 2.5 update - * Noise.setRandomSeed --> seed_set - * Noise.randuvec --> random_unit_vector - * Noise.vNoise --> noise_vector - * Noise.vTurbulence --> turbulence_vector - * Noise.multiFractal --> multi_fractal - * Noise.cellNoise --> cell - * Noise.cellNoiseV --> cell_vector - * Noise.vlNoise --> vl_vector - * Noise.heteroTerrain --> hetero_terrain - * Noise.hybridMFractal --> hybrid_multi_fractal - * Noise.fBm --> fractal - * Noise.ridgedMFractal --> ridged_multi_fractal - * - * Const's * - * Noise.NoiseTypes --> types - * Noise.DistanceMetrics --> distance_metrics - */ - -/* Period parameters */ -#define N 624 -#define M 397 -#define MATRIX_A 0x9908b0dfUL /* constant vector a */ -#define UMASK 0x80000000UL /* most significant w-r bits */ -#define LMASK 0x7fffffffUL /* least significant r bits */ -#define MIXBITS(u,v) (((u) & UMASK) | ((v) & LMASK)) -#define TWIST(u,v) ((MIXBITS(u,v) >> 1) ^ ((v)&1UL ? MATRIX_A : 0UL)) - -static unsigned long state[N]; /* the array for the state vector */ -static int left = 1; -static int initf = 0; -static unsigned long *next; - -/* initializes state[N] with a seed */ -static void init_genrand(unsigned long s) -{ - int j; - state[0] = s & 0xffffffffUL; - for (j = 1; j < N; j++) { - state[j] = - (1812433253UL * - (state[j - 1] ^ (state[j - 1] >> 30)) + j); - /* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */ - /* In the previous versions, MSBs of the seed affect */ - /* only MSBs of the array state[]. */ - /* 2002/01/09 modified by Makoto Matsumoto */ - state[j] &= 0xffffffffUL; /* for >32 bit machines */ - } - left = 1; - initf = 1; -} - -static void next_state(void) -{ - unsigned long *p = state; - int j; - - /* if init_genrand() has not been called, */ - /* a default initial seed is used */ - if (initf == 0) - init_genrand(5489UL); - - left = N; - next = state; - - for (j = N - M + 1; --j; p++) - *p = p[M] ^ TWIST(p[0], p[1]); - - for (j = M; --j; p++) - *p = p[M - N] ^ TWIST(p[0], p[1]); - - *p = p[M - N] ^ TWIST(p[0], state[0]); -} - -/*------------------------------------------------------------*/ - -static void setRndSeed(int seed) -{ - if (seed == 0) - init_genrand(time(NULL)); - else - init_genrand(seed); -} - -/* float number in range [0, 1) using the mersenne twister rng */ -static float frand(void) -{ - unsigned long y; - - if (--left == 0) - next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return (float) y / 4294967296.f; -} - -/*------------------------------------------------------------*/ - -/* returns random unit vector */ -static void randuvec(float v[3]) -{ - float r; - v[2] = 2.f * frand() - 1.f; - if ((r = 1.f - v[2] * v[2]) > 0.f) { - float a = (float)(6.283185307f * frand()); - r = (float)sqrt(r); - v[0] = (float)(r * cosf(a)); - v[1] = (float)(r * sinf(a)); - } - else { - v[2] = 1.f; - } -} - -static PyObject *Noise_random(PyObject *UNUSED(self)) -{ - return PyFloat_FromDouble(frand()); -} - -static PyObject *Noise_random_unit_vector(PyObject *UNUSED(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 *UNUSED(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 *UNUSED(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((2.0f * BLI_gNoise(1.0f, x, y, z, 0, nb) - 1.0f)); -} - -/*-------------------------------------------------------------------------*/ - -/* 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)(2.0f * BLI_gNoise(1.f, x + 9.321f, y - 1.531f, z - 7.951f, 0, - nb) - 1.0f); - v[1]= (float)(2.0f * BLI_gNoise(1.f, x, y, z, 0, nb) - 1.0f); - v[2]= (float)(2.0f * BLI_gNoise(1.f, x + 6.327f, y + 0.1671f, z - 2.672f, 0, - nb) - 1.0f); -} - -static PyObject *Noise_vector(PyObject *UNUSED(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)(2.0f * BLI_gNoise(1.f, x, y, z, 0, nb) - 1.0f); - if (hard) - out = fabsf(out); - for (i = 1; i < oct; i++) { - amp *= ampscale; - x *= freqscale; - y *= freqscale; - z *= freqscale; - t = (float)(amp * (2.0f * BLI_gNoise(1.f, x, y, z, 0, nb) - 1.0f)); - if (hard) - t = fabsf(t); - out += t; - } - return out; -} - -static PyObject *Noise_turbulence(PyObject *UNUSED(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] = fabsf(v[0]); - v[1] = fabsf(v[1]); - v[2] = fabsf(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] = fabsf(t[0]); - t[1] = fabsf(t[1]); - t[2] = fabsf(t[2]); - } - v[0] += amp * t[0]; - v[1] += amp * t[1]; - v[2] += amp * t[2]; - } -} - -static PyObject *Noise_turbulence_vector(PyObject *UNUSED(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 *UNUSED(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 *UNUSED(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 *UNUSED(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 *UNUSED(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; - - return PyFloat_FromDouble(mg_HeteroTerrain(x, y, z, H, lac, oct, ofs, nb)); -} - -/*-------------------------------------------------------------------------*/ - -static PyObject *Noise_hybrid_multi_fractal(PyObject *UNUSED(self), PyObject *args) -{ - 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)); -} - -/*------------------------------------------------------------------------*/ - -static PyObject *Noise_ridged_multi_fractal(PyObject *UNUSED(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)); -} - -/*-------------------------------------------------------------------------*/ - -static PyObject *Noise_voronoi(PyObject *UNUSED(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]); -} - -/*-------------------------------------------------------------------------*/ - -static PyObject *Noise_cell(PyObject *UNUSED(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 *UNUSED(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. */ - -PyDoc_STRVAR(random__doc__, -"() No arguments.\n\n\ -Returns a random floating point number in the range [0, 1)" -); - -PyDoc_STRVAR(random_unit_vector__doc__, -"() No arguments.\n\nReturns a random unit vector (3-float list)." -); - -PyDoc_STRVAR(seed_set__doc__, -"(seed value)\n\n\ -Initializes random number generator.\n\ -if seed is zero, the current time will be used instead." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(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." -); - -PyDoc_STRVAR(cell__doc__, -"((x,y,z) tuple)\n\n\ -returns cellnoise float value." -); - -PyDoc_STRVAR(cell_vector__doc__, -"((x,y,z) tuple)\n\n\ -returns cellnoise vector/point/color (3-float list)." -); - -PyDoc_STRVAR(Noise__doc__, -"Blender Noise and Turbulence Module\n\n\ -This module can be used to generate noise of various types.\n\ -This can be used for terrain generation, to create textures,\n\ -make animations more 'animated', object deformation, etc.\n\ -As an example, this code segment when scriptlinked to a framechanged event,\n\ -will make the camera sway randomly about, by changing parameters this can\n\ -look like anything from an earthquake to a very nervous or maybe even drunk cameraman...\n\ -(the camera needs an ipo with at least one Loc & Rot key for this to work!):\n\ -\n\ -\tfrom Blender import Get, Scene, Noise\n\ -\n\ -\t####################################################\n\ -\t# This controls jitter speed\n\ -\tsl = 0.025\n\ -\t# This controls the amount of position jitter\n\ -\tsp = 0.1\n\ -\t# This controls the amount of rotation jitter\n\ -\tsr = 0.25\n\ -\t####################################################\n\ -\n\ -\ttime = Get('curtime')\n\ -\tob = Scene.GetCurrent().getCurrentCamera()\n\ -\tps = (sl*time, sl*time, sl*time)\n\ -\t# To add jitter only when the camera moves, use this next line instead\n\ -\t#ps = (sl*ob.LocX, sl*ob.LocY, sl*ob.LocZ)\n\ -\trv = Noise.turbulence_vector(ps, 3, 0, Noise.NoiseTypes.NEWPERLIN)\n\ -\tob.dloc = (sp*rv[0], sp*rv[1], sp*rv[2])\n\ -\tob.drot = (sr*rv[0], sr*rv[1], sr*rv[2])\n\ -\n" -); - -/* Just in case, declarations for a header file */ -/* -static PyObject *Noise_random(PyObject *UNUSED(self)); -static PyObject *Noise_random_unit_vector(PyObject *UNUSED(self)); -static PyObject *Noise_seed_set(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_noise(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_vector(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_turbulence(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_turbulence_vector(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_fractal(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_multi_fractal(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_vl_vector(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_hetero_terrain(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_hybrid_multi_fractal(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_ridged_multi_fractal(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_voronoi(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_cell(PyObject *UNUSED(self), PyObject *args); -static PyObject *Noise_cell_vector(PyObject *UNUSED(self), PyObject *args); -*/ - -static PyMethodDef NoiseMethods[] = { - {"seed_set", (PyCFunction) Noise_seed_set, METH_VARARGS, seed_set__doc__}, - {"random", (PyCFunction) Noise_random, METH_NOARGS, random__doc__}, - {"random_unit_vector", (PyCFunction) Noise_random_unit_vector, METH_NOARGS, random_unit_vector__doc__}, - {"noise", (PyCFunction) Noise_noise, METH_VARARGS, noise__doc__}, - {"vector", (PyCFunction) Noise_vector, METH_VARARGS, noise_vector__doc__}, - {"turbulence", (PyCFunction) Noise_turbulence, METH_VARARGS, turbulence__doc__}, - {"turbulence_vector", (PyCFunction) Noise_turbulence_vector, METH_VARARGS, turbulence_vector__doc__}, - {"fractal", (PyCFunction) Noise_fractal, METH_VARARGS, fractal__doc__}, - {"multi_fractal", (PyCFunction) Noise_multi_fractal, METH_VARARGS, multi_fractal__doc__}, - {"vl_vector", (PyCFunction) Noise_vl_vector, METH_VARARGS, vl_vector__doc__}, - {"hetero_terrain", (PyCFunction) Noise_hetero_terrain, METH_VARARGS, hetero_terrain__doc__}, - {"hybrid_multi_fractal", (PyCFunction) Noise_hybrid_multi_fractal, METH_VARARGS, hybrid_multi_fractal__doc__}, - {"ridged_multi_fractal", (PyCFunction) Noise_ridged_multi_fractal, METH_VARARGS, ridged_multi_fractal__doc__}, - {"voronoi", (PyCFunction) Noise_voronoi, METH_VARARGS, voronoi__doc__}, - {"cell", (PyCFunction) Noise_cell, METH_VARARGS, cell__doc__}, - {"cell_vector", (PyCFunction) Noise_cell_vector, METH_VARARGS, cell_vector__doc__}, - {NULL, NULL, 0, NULL} -}; - -/*----------------------------------------------------------------------*/ - -static struct PyModuleDef noise_module_def = { - PyModuleDef_HEAD_INIT, - "noise", /* m_name */ - Noise__doc__, /* m_doc */ - 0, /* m_size */ - NoiseMethods, /* m_methods */ - NULL, /* m_reload */ - NULL, /* m_traverse */ - NULL, /* m_clear */ - NULL, /* m_free */ -}; - -PyObject *BPyInit_noise(void) -{ - PyObject *submodule = PyModule_Create(&noise_module_def); - - /* use current time as seed for random number generator by default */ - setRndSeed(0); - - /* Constant noisetype dictionary */ - if (submodule) { - static PyStructSequence_Field noise_types_fields[] = { - {(char *)"BLENDER", NULL}, - {(char *)"STDPERLIN", NULL}, - {(char *)"NEWPERLIN", NULL}, - {(char *)"VORONOI_F1", NULL}, - {(char *)"VORONOI_F2", NULL}, - {(char *)"VORONOI_F3", NULL}, - {(char *)"VORONOI_F4", NULL}, - {(char *)"VORONOI_F2F1", NULL}, - {(char *)"VORONOI_CRACKLE", NULL}, - {(char *)"CELLNOISE", NULL}, - {NULL} - }; - - static PyStructSequence_Desc noise_types_info_desc = { - (char *)"noise.types", /* name */ - (char *)"Noise type", /* doc */ - noise_types_fields, /* fields */ - (sizeof(noise_types_fields)/sizeof(PyStructSequence_Field)) - 1 - }; - - static PyTypeObject NoiseType; - - PyObject *noise_types; - - int pos = 0; - - PyStructSequence_InitType(&NoiseType, &noise_types_info_desc); - - noise_types = PyStructSequence_New(&NoiseType); - if (noise_types == NULL) { - return NULL; - } - - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_BLENDER)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_STDPERLIN)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_NEWPERLIN)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F1)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F2)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F3)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F4)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_F2F1)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_VORONOI_CRACKLE)); - PyStructSequence_SET_ITEM(noise_types, pos++, PyLong_FromLong(TEX_CELLNOISE)); - - PyModule_AddObject(submodule, "types", noise_types); - } - - if (submodule) { - static PyStructSequence_Field distance_metrics_fields[] = { - {(char *)"DISTANCE", NULL}, - {(char *)"DISTANCE_SQUARED", NULL}, - {(char *)"MANHATTAN", NULL}, - {(char *)"CHEBYCHEV", NULL}, - {(char *)"MINKOVSKY_HALF", NULL}, - {(char *)"MINKOVSKY_FOUR", NULL}, - {(char *)"MINKOVSKY", NULL}, - {NULL} - }; - - static PyStructSequence_Desc noise_types_info_desc = { - (char *)"noise.distance_metrics", /* name */ - (char *)"Distance Metrics for noise module.", /* doc */ - distance_metrics_fields, /* fields */ - (sizeof(distance_metrics_fields)/sizeof(PyStructSequence_Field)) - 1 - }; - - static PyTypeObject DistanceMetrics; - - PyObject *distance_metrics; - - int pos = 0; - - PyStructSequence_InitType(&DistanceMetrics, &noise_types_info_desc); - - distance_metrics = PyStructSequence_New(&DistanceMetrics); - if (distance_metrics == NULL) { - return NULL; - } - - PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_DISTANCE)); - PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_DISTANCE_SQUARED)); - PyStructSequence_SET_ITEM(distance_metrics, pos++, PyLong_FromLong(TEX_MANHATTAN)); - 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; -} diff --git a/source/blender/python/generic/noise_py_api.h b/source/blender/python/generic/noise_py_api.h deleted file mode 100644 index 60f43e16158..00000000000 --- a/source/blender/python/generic/noise_py_api.h +++ /dev/null @@ -1,32 +0,0 @@ -/* - * ***** BEGIN GPL LICENSE BLOCK ***** - * - * 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 2 - * 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, write to the Free Software Foundation, - * Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. - * - * Contributor(s): Campbell Barton - * - * ***** END GPL LICENSE BLOCK ***** - */ - -/** \file blender/python/generic/noise_py_api.h - * \ingroup pygen - */ - -#ifndef NOISE_PY_API_H -#define NOISE_PY_API_H - -PyObject *BPyInit_noise(void); - -#endif // NOISE_PY_API_H |