diff options
| -rw-r--r-- | source/blender/python/generic/CMakeLists.txt | 2 | ||||
| -rw-r--r-- | source/blender/python/intern/bpy_driver.c | 2 | ||||
| -rw-r--r-- | source/blender/python/intern/bpy_interface.c | 3 | ||||
| -rw-r--r-- | source/blender/python/mathutils/CMakeLists.txt | 2 | ||||
| -rw-r--r-- | source/blender/python/mathutils/mathutils.c | 8 | ||||
| -rw-r--r-- | source/blender/python/mathutils/mathutils.h | 4 | ||||
| -rw-r--r-- | source/blender/python/mathutils/mathutils_noise.c | 911 | ||||
| -rw-r--r-- | source/blender/python/mathutils/mathutils_noise.h | 36 |
8 files changed, 962 insertions, 6 deletions
diff --git a/source/blender/python/generic/CMakeLists.txt b/source/blender/python/generic/CMakeLists.txt index bd9731a277a..9a73911d697 100644 --- a/source/blender/python/generic/CMakeLists.txt +++ b/source/blender/python/generic/CMakeLists.txt @@ -37,14 +37,12 @@ set(SRC blf_py_api.c bpy_internal_import.c idprop_py_api.c - noise_py_api.c py_capi_utils.c bgl.h blf_py_api.h bpy_internal_import.h idprop_py_api.h - noise_py_api.h py_capi_utils.h ) diff --git a/source/blender/python/intern/bpy_driver.c b/source/blender/python/intern/bpy_driver.c index 2aad4d8f2fe..34270c832ea 100644 --- a/source/blender/python/intern/bpy_driver.c +++ b/source/blender/python/intern/bpy_driver.c @@ -82,7 +82,7 @@ int bpy_pydriver_create_dict(void) } /* add noise to global namespace */ - mod= PyImport_ImportModuleLevel((char *)"noise", NULL, NULL, NULL, 0); + mod= PyImport_ImportModuleLevel((char *)"mathutils.noise", NULL, NULL, NULL, 0); if (mod) { PyDict_SetItemString(bpy_pydriver_Dict, "noise", mod); Py_DECREF(mod); diff --git a/source/blender/python/intern/bpy_interface.c b/source/blender/python/intern/bpy_interface.c index 66db0724d96..14d74bcf5d0 100644 --- a/source/blender/python/intern/bpy_interface.c +++ b/source/blender/python/intern/bpy_interface.c @@ -71,7 +71,6 @@ /* inittab initialization functions */ #include "../generic/bgl.h" #include "../generic/blf_py_api.h" -#include "../generic/noise_py_api.h" #include "../mathutils/mathutils.h" /* for internal use, when starting and ending python scripts */ @@ -181,9 +180,9 @@ extern PyObject *AUD_initPython(void); extern PyObject *CYCLES_initPython(void); static struct _inittab bpy_internal_modules[]= { - {(char *)"noise", BPyInit_noise}, {(char *)"mathutils", PyInit_mathutils}, // {(char *)"mathutils.geometry", PyInit_mathutils_geometry}, +// {(char *)"mathutils.noise", PyInit_mathutils_noise}, {(char *)"bgl", BPyInit_bgl}, {(char *)"blf", BPyInit_blf}, #ifdef WITH_AUDASPACE diff --git a/source/blender/python/mathutils/CMakeLists.txt b/source/blender/python/mathutils/CMakeLists.txt index b28496d612e..dae1c665ebc 100644 --- a/source/blender/python/mathutils/CMakeLists.txt +++ b/source/blender/python/mathutils/CMakeLists.txt @@ -38,6 +38,7 @@ set(SRC mathutils_Quaternion.c mathutils_Vector.c mathutils_geometry.c + mathutils_noise.c mathutils.h mathutils_Color.h @@ -46,6 +47,7 @@ set(SRC mathutils_Quaternion.h mathutils_Vector.h mathutils_geometry.h + mathutils_noise.h ) diff --git a/source/blender/python/mathutils/mathutils.c b/source/blender/python/mathutils/mathutils.c index 41c1568dbde..f0fe69259fe 100644 --- a/source/blender/python/mathutils/mathutils.c +++ b/source/blender/python/mathutils/mathutils.c @@ -347,6 +347,7 @@ PyMODINIT_FUNC PyInit_mathutils(void) { PyObject *submodule; PyObject *item; + PyObject *sys_modules= PyThreadState_GET()->interp->modules; if (PyType_Ready(&vector_Type) < 0) return NULL; @@ -373,7 +374,12 @@ PyMODINIT_FUNC PyInit_mathutils(void) /* XXX, python doesnt do imports with this usefully yet * 'from mathutils.geometry import PolyFill' * ...fails without this. */ - PyDict_SetItemString(PyThreadState_GET()->interp->modules, "mathutils.geometry", item); + PyDict_SetItemString(sys_modules, "mathutils.geometry", item); + Py_INCREF(item); + + /* Noise submodule */ + PyModule_AddObject(submodule, "noise", (item=PyInit_mathutils_noise())); + PyDict_SetItemString(sys_modules, "mathutils.noise", item); Py_INCREF(item); mathutils_matrix_vector_cb_index= Mathutils_RegisterCallback(&mathutils_matrix_vector_cb); diff --git a/source/blender/python/mathutils/mathutils.h b/source/blender/python/mathutils/mathutils.h index 70b0ef93ebd..b50535bd709 100644 --- a/source/blender/python/mathutils/mathutils.h +++ b/source/blender/python/mathutils/mathutils.h @@ -52,12 +52,16 @@ typedef struct { BASE_MATH_MEMBERS(data) } BaseMathObject; +/* types */ #include "mathutils_Vector.h" #include "mathutils_Matrix.h" #include "mathutils_Quaternion.h" #include "mathutils_Euler.h" #include "mathutils_Color.h" + +/* utility submodules */ #include "mathutils_geometry.h" +#include "mathutils_noise.h" PyObject *BaseMathObject_getOwner( BaseMathObject * self, void * ); PyObject *BaseMathObject_getWrapped( BaseMathObject *self, void * ); diff --git a/source/blender/python/mathutils/mathutils_noise.c b/source/blender/python/mathutils/mathutils_noise.c new file mode 100644 index 00000000000..bd490d62e94 --- /dev/null +++ b/source/blender/python/mathutils/mathutils_noise.c @@ -0,0 +1,911 @@ +/* + * ***** 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/mathutils/mathutils_noise.c + * \ingroup mathutils + * + * 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_math.h" +#include "BLI_utildefines.h" + +#include "MEM_guardedalloc.h" + +#include "DNA_texture_types.h" + +#include "mathutils.h" +#include "mathutils_noise.h" + +/* 2.6 update + * Moved to submodule of mathutils. + * All vector functions now return mathutils.Vector + * Updated docs to be compatible with autodocs generation. + * Updated vector functions to use nD array functions. + * noise.vl_vector --> noise.variable_lacunarity + * noise.vector --> noise.noise_vector + */ + +/*-----------------------------------------*/ +/* '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) +*/ + +/* 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; +} + +/*------------------------------------------------------------*/ +/* Utility Functions */ +/*------------------------------------------------------------*/ + +/* Fills an array of length size with random numbers in the range (-1, 1)*/ +static void rand_vn(float *array_tar, const int size) +{ + float *array_pt= array_tar + (size-1); + int i= size; + while(i--) { *(array_pt--) = 2.0f * frand() - 1.0f; } +} + +/* Fills an array of length 3 with noise values */ +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); +} + +/* Returns a turbulence value for a given position (x, y, z) */ +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; +} + +/* Fills an array of length 3 with the turbulence vector for a given +position (x, y, z) */ +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]; + } +} + +/*-------------------------DOC STRINGS ---------------------------*/ +PyDoc_STRVAR(M_Noise_doc, +"The Blender noise module" +); + +/*------------------------------------------------------------*/ +/* Python Functions */ +/*------------------------------------------------------------*/ + +PyDoc_STRVAR(M_Noise_random_doc, +".. function:: random()\n" +"\n" +" Returns a random number in the range [0, 1].\n" +"\n" +" :return: The random number.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_random(PyObject *UNUSED(self)) +{ + return PyFloat_FromDouble(frand()); +} + +PyDoc_STRVAR(M_Noise_random_unit_vector_doc, +".. function:: random_unit_vector(size=3)\n" +"\n" +" Returns a unit vector with random entries.\n" +"\n" +" :arg size: The size of the vector to be produced.\n" +" :type size: Int\n" +" :return: The random unit vector.\n" +" :rtype: :class:`mathutils.Vector`\n" +); +static PyObject *M_Noise_random_unit_vector(PyObject *UNUSED(self), PyObject *args) +{ + float vec[4]= {0.0f, 0.0f, 0.0f, 0.0f}; + float norm= 2.0f; + int size= 3; + + if (!PyArg_ParseTuple(args, "|i:random_vector", &size)) + return NULL; + + if (size > 4 || size < 2) { + PyErr_SetString(PyExc_ValueError, "Vector(): invalid size"); + return NULL; + } + + while (norm==0.0f || norm>=1.0f) { + rand_vn(vec, size); + norm= normalize_vn(vec, size); + } + + return Vector_CreatePyObject(vec, size, Py_NEW, NULL); +} +/* This is dumb, most people will want a unit vector anyway, since this doesn't have uniform distribution over a sphere*/ +/* +PyDoc_STRVAR(M_Noise_random_vector_doc, +".. function:: random_vector(size=3)\n" +"\n" +" Returns a vector with random entries in the range [0, 1).\n" +"\n" +" :arg size: The size of the vector to be produced.\n" +" :type size: Int\n" +" :return: The random vector.\n" +" :rtype: :class:`mathutils.Vector`\n" +); +static PyObject *M_Noise_random_vector(PyObject *UNUSED(self), PyObject *args) +{ + float vec[4]= {0.0f, 0.0f, 0.0f, 0.0f}; + int size= 3; + + if (!PyArg_ParseTuple(args, "|i:random_vector", &size)) + return NULL; + + if (size > 4 || size < 2) { + PyErr_SetString(PyExc_ValueError, "Vector(): invalid size"); + return NULL; + } + + rand_vn(vec, size); + + return Vector_CreatePyObject(vec, size, Py_NEW, NULL); +} +*/ + +PyDoc_STRVAR(M_Noise_seed_set_doc, +".. function:: seed_set(seed)\n" +"\n" +" Sets the random seed used for random_unit_vector, random_vector and random.\n" +"\n" +" :arg seed: Seed used for the random generator.\n" +" :type seed: Int\n" +); +static PyObject *M_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; +} + +PyDoc_STRVAR(M_Noise_noise_doc, +".. function:: noise(position, noise_basis=noise.types.STDPERLIN)\n" +"\n" +" Returns noise value from the noise basis at the position specified.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in noise.types or int\n" +" :return: The noise value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_noise(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + int nb= 1; + if (!PyArg_ParseTuple(args, "O|i:noise", &value, &nb)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "noise: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble((2.0f * BLI_gNoise(1.0f, vec[0], vec[1], vec[2], 0, nb) - 1.0f)); +} + +PyDoc_STRVAR(M_Noise_noise_vector_doc, +".. function:: noise_vector(position, noise_basis=noise.types.STDPERLIN)\n" +"\n" +" Returns the noise vector from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in noise.types or int\n" +" :return: The noise vector.\n" +" :rtype: :class:`mathutils.Vector`\n" +); +static PyObject *M_Noise_noise_vector(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3], r_vec[3]; + int nb= 1; + + if (!PyArg_ParseTuple(args, "O|i:noise_vector", &value, &nb)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "noise_vector: invalid 'position' arg") == -1) + return NULL; + + noise_vector(vec[0], vec[1], vec[2], nb, r_vec); + + return Vector_CreatePyObject(r_vec, 3, Py_NEW, NULL); +} + +PyDoc_STRVAR(M_Noise_turbulence_doc, +".. function:: turbulence(position, octaves, hard, noise_basis=noise.types.STDPERLIN, amplitude_scale=0.5, frequency_scale=2.0)\n" +"\n" +" Returns the turbulence value from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg octaves: The number of different noise frequencies used.\n" +" :type octaves: int\n" +" :arg hard: Specifies whether returned turbulence is hard (sharp transitions) or soft (smooth transitions).\n" +" :type hard: :boolean\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in mathutils.noise.types or int\n" +" :arg amplitude_scale: The amplitude scaling factor.\n" +" :type amplitude_scale: float\n" +" :arg frequency_scale: The frequency scaling factor\n" +" :type frequency_scale: Value in noise.types or int\n" +" :return: The turbulence value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_turbulence(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + int oct, hd, nb= 1; + float as= 0.5f, fs= 2.0f; + + if (!PyArg_ParseTuple(args, "Oii|iff:turbulence", &value, &oct, &hd, &nb, &as, &fs)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "turbulence: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(turb(vec[0], vec[1], vec[2], oct, hd, nb, as, fs)); +} + +PyDoc_STRVAR(M_Noise_turbulence_vector_doc, +".. function:: turbulence_vector(position, octaves, hard, noise_basis=noise.types.STDPERLIN, amplitude_scale=0.5, frequency_scale=2.0)\n" +"\n" +" Returns the turbulence vector from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg octaves: The number of different noise frequencies used.\n" +" :type octaves: int\n" +" :arg hard: Specifies whether returned turbulence is hard (sharp transitions) or soft (smooth transitions).\n" +" :type hard: :boolean\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in mathutils.noise.types or int\n" +" :arg amplitude_scale: The amplitude scaling factor.\n" +" :type amplitude_scale: float\n" +" :arg frequency_scale: The frequency scaling factor\n" +" :type frequency_scale: Value in noise.types or int\n" +" :return: The turbulence vector.\n" +" :rtype: :class:`mathutils.Vector`\n" +); +static PyObject *M_Noise_turbulence_vector(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3], r_vec[3]; + int oct, hd, nb= 1; + float as =0.5f, fs= 2.0f; + if (!PyArg_ParseTuple(args, "Oii|iff:turbulence_vector", &value, &oct, &hd, &nb, &as, &fs)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "turbulence_vector: invalid 'position' arg") == -1) + return NULL; + + vTurb(vec[0], vec[1], vec[2], oct, hd, nb, as, fs, r_vec); + return Vector_CreatePyObject(r_vec, 3, Py_NEW, NULL); +} + +/* F. Kenton Musgrave's fractal functions */ +PyDoc_STRVAR(M_Noise_fractal_doc, +".. function:: fractal(position, H, lacunarity, octaves, noise_basis=noise.types.STDPERLIN)\n" +"\n" +" Returns the fractal Brownian motion (fBm) noise value from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg H: The fractal increment factor.\n" +" :type H: float\n" +" :arg lacunarity: The gap between successive frequencies.\n" +" :type lacunarity: float\n" +" :arg octaves: The number of different noise frequencies used.\n" +" :type octaves: int\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in noise.types or int\n" +" :return: The fractal Brownian motion noise value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_fractal(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + float H, lac, oct; + int nb= 1; + + if (!PyArg_ParseTuple(args, "Offf|i:fractal", &value, &H, &lac, &oct, &nb)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "fractal: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(mg_fBm(vec[0], vec[1], vec[2], H, lac, oct, nb)); +} + +PyDoc_STRVAR(M_Noise_multi_fractal_doc, +".. function:: multi_fractal(position, H, lacunarity, octaves, noise_basis=noise.types.STDPERLIN)\n" +"\n" +" Returns multifractal noise value from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg H: The fractal increment factor.\n" +" :type H: float\n" +" :arg lacunarity: The gap between successive frequencies.\n" +" :type lacunarity: float\n" +" :arg octaves: The number of different noise frequencies used.\n" +" :type octaves: int\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in noise.types or int\n" +" :return: The multifractal noise value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_multi_fractal(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + float H, lac, oct; + int nb= 1; + + if (!PyArg_ParseTuple(args, "Offf|i:multi_fractal", &value, &H, &lac, &oct, &nb)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "multi_fractal: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(mg_MultiFractal(vec[0], vec[1], vec[2], H, lac, oct, nb)); +} + +PyDoc_STRVAR(M_Noise_variable_lacunarity_doc, +".. function:: variable_lacunarity(position, distortion, noise_type1=noise.types.STDPERLIN, noise_type2=noise.types.STDPERLIN)\n" +"\n" +" Returns variable lacunarity noise value, a distorted variety of noise, from noise type 1 distorted by noise type 2 at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg distortion: The amount of distortion.\n" +" :type distortion: float\n" +" :arg noise_type1: The type of noise to be distorted.\n" +" :type noise_type1: Value in noise.types or int\n" +" :arg noise_type2: The type of noise used to distort noise_type1.\n" +" :type noise_type2: Value in noise.types or int\n" +" :return: The variable lacunarity noise value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_variable_lacunarity(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + float d; + int nt1= 1, nt2= 1; + + if (!PyArg_ParseTuple(args, "Of|ii:variable_lacunarity", &value, &d, &nt1, &nt2)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "variable_lacunarity: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(mg_VLNoise(vec[0], vec[1], vec[2], d, nt1, nt2)); +} + +PyDoc_STRVAR(M_Noise_hetero_terrain_doc, +".. function:: hetero_terrain(position, H, lacunarity, octaves, offset, noise_basis=noise.types.STDPERLIN)\n" +"\n" +" Returns the heterogeneous terrain value from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg H: The fractal dimension of the roughest areas.\n" +" :type H: float\n" +" :arg lacunarity: The gap between successive frequencies.\n" +" :type lacunarity: float\n" +" :arg octaves: The number of different noise frequencies used.\n" +" :type octaves: int\n" +" :arg offset: The height of the terrain above 'sea level'.\n" +" :type offset: float\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in noise.types or int\n" +" :return: The heterogeneous terrain value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_hetero_terrain(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + float H, lac, oct, ofs; + int nb= 1; + + if (!PyArg_ParseTuple(args, "Offff|i:hetero_terrain", &value, &H, &lac, &oct, &ofs, &nb)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "hetero_terrain: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(mg_HeteroTerrain(vec[0], vec[1], vec[2], H, lac, oct, ofs, nb)); +} + +PyDoc_STRVAR(M_Noise_hybrid_multi_fractal_doc, +".. function:: hybrid_multi_fractal(position, H, lacunarity, octaves, offset, gain, noise_basis=noise.types.STDPERLIN)\n" +"\n" +" Returns hybrid multifractal value from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg H: The fractal dimension of the roughest areas.\n" +" :type H: float\n" +" :arg lacunarity: The gap between successive frequencies.\n" +" :type lacunarity: float\n" +" :arg octaves: The number of different noise frequencies used.\n" +" :type octaves: int\n" +" :arg offset: The height of the terrain above 'sea level'.\n" +" :type offset: float\n" +" :arg gain: Scaling applied to the values.\n" +" :type gain: float\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in noise.types or int\n" +" :return: The hybrid multifractal value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_hybrid_multi_fractal(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + float H, lac, oct, ofs, gn; + int nb= 1; + + if (!PyArg_ParseTuple(args, "Offfff|i:hybrid_multi_fractal", &value, &H, &lac, &oct, &ofs, &gn, &nb)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "hybrid_multi_fractal: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(mg_HybridMultiFractal(vec[0], vec[1], vec[2], H, lac, oct, ofs, gn, nb)); +} + +PyDoc_STRVAR(M_Noise_ridged_multi_fractal_doc, +".. function:: ridged_multi_fractal(position, H, lacunarity, octaves, offset, gain, noise_basis=noise.types.STDPERLIN)\n" +"\n" +" Returns ridged multifractal value from the noise basis at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg H: The fractal dimension of the roughest areas.\n" +" :type H: float\n" +" :arg lacunarity: The gap between successive frequencies.\n" +" :type lacunarity: float\n" +" :arg octaves: The number of different noise frequencies used.\n" +" :type octaves: int\n" +" :arg offset: The height of the terrain above 'sea level'.\n" +" :type offset: float\n" +" :arg gain: Scaling applied to the values.\n" +" :type gain: float\n" +" :arg noise_basis: The type of noise to be evaluated.\n" +" :type noise_basis: Value in noise.types or int\n" +" :return: The ridged multifractal value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_ridged_multi_fractal(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + float H, lac, oct, ofs, gn; + int nb= 1; + + if (!PyArg_ParseTuple(args, "Offfff|i:ridged_multi_fractal", &value, &H, &lac, &oct, &ofs, &gn, &nb)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "ridged_multi_fractal: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(mg_RidgedMultiFractal(vec[0], vec[1], vec[2], H, lac, oct, ofs, gn, nb)); +} + +PyDoc_STRVAR(M_Noise_voronoi_doc, +".. function:: voronoi(position, distance_metric=noise.distance_metrics.DISTANCE, exponent=2.5)\n" +"\n" +" Returns a list of distances to the four closest features and their locations.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :arg distance_metric: Method of measuring distance.\n" +" :type distance_metric: Value in noise.distance_metrics or int\n" +" :arg exponent: The exponent for Minkovsky distance metric.\n" +" :type exponent: float\n" +" :return: A list of distances to the four closest features and their locations.\n" +" :rtype: [list of four floats, list of four :class:`mathutils.Vector`s]\n" +); +static PyObject *M_Noise_voronoi(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + PyObject *list; + float vec[3]; + float da[4], pa[12]; + int dtype= 0; + float me= 2.5f; /* default minkovsky exponent */ + + int i; + + if (!PyArg_ParseTuple(args, "O|if:voronoi", &value, &dtype, &me)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "voronoi: invalid 'position' arg") == -1) + return NULL; + + list= PyList_New(4); + + voronoi(vec[0], vec[1], vec[2], da, pa, me, dtype); + + for (i=0; i<4; i++) { + PyList_SET_ITEM(list, i, Vector_CreatePyObject(pa + 3*i, 3, Py_NEW, NULL)); + } + + return Py_BuildValue("[[ffff]O]", da[0], da[1], da[2], da[3], list); +} + +PyDoc_STRVAR(M_Noise_cell_doc, +".. function:: cell(position)\n" +"\n" +" Returns cell noise value at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :return: The cell noise value.\n" +" :rtype: float\n" +); +static PyObject *M_Noise_cell(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3]; + + if (!PyArg_ParseTuple(args, "O:cell", &value)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "cell: invalid 'position' arg") == -1) + return NULL; + + return PyFloat_FromDouble(cellNoise(vec[0], vec[1], vec[2])); +} + +PyDoc_STRVAR(M_Noise_cell_vector_doc, +".. function:: cell_vector(position)\n" +"\n" +" Returns cell noise vector at the specified position.\n" +"\n" +" :arg position: The position to evaluate the selected noise function at.\n" +" :type position: :class:`mathutils.Vector`\n" +" :return: The cell noise vector.\n" +" :rtype: :class:`mathutils.Vector`\n" +); +static PyObject *M_Noise_cell_vector(PyObject *UNUSED(self), PyObject *args) +{ + PyObject *value; + float vec[3], r_vec[3]; + + if (!PyArg_ParseTuple(args, "O:cell_vector", &value)) + return NULL; + + if (mathutils_array_parse(vec, 3, 3, value, "cell_vector: invalid 'position' arg") == -1) + return NULL; + + cellNoiseV(vec[0], vec[1], vec[2], r_vec); + return Vector_CreatePyObject(NULL, 3, Py_NEW, NULL);; +} + +static PyMethodDef M_Noise_methods[] = { + {"seed_set", (PyCFunction) M_Noise_seed_set, METH_VARARGS, M_Noise_seed_set_doc}, + {"random", (PyCFunction) M_Noise_random, METH_NOARGS, M_Noise_random_doc}, + {"random_unit_vector", (PyCFunction) M_Noise_random_unit_vector, METH_VARARGS, M_Noise_random_unit_vector_doc}, + /*{"random_vector", (PyCFunction) M_Noise_random_vector, METH_VARARGS, M_Noise_random_vector_doc},*/ + {"noise", (PyCFunction) M_Noise_noise, METH_VARARGS, M_Noise_noise_doc}, + {"noise_vector", (PyCFunction) M_Noise_noise_vector, METH_VARARGS, M_Noise_noise_vector_doc}, + {"turbulence", (PyCFunction) M_Noise_turbulence, METH_VARARGS, M_Noise_turbulence_doc}, + {"turbulence_vector", (PyCFunction) M_Noise_turbulence_vector, METH_VARARGS, M_Noise_turbulence_vector_doc}, + {"fractal", (PyCFunction) M_Noise_fractal, METH_VARARGS, M_Noise_fractal_doc}, + {"multi_fractal", (PyCFunction) M_Noise_multi_fractal, METH_VARARGS, M_Noise_multi_fractal_doc}, + {"variable_lacunarity", (PyCFunction) M_Noise_variable_lacunarity, METH_VARARGS, M_Noise_variable_lacunarity_doc}, + {"hetero_terrain", (PyCFunction) M_Noise_hetero_terrain, METH_VARARGS, M_Noise_hetero_terrain_doc}, + {"hybrid_multi_fractal", (PyCFunction) M_Noise_hybrid_multi_fractal, METH_VARARGS, M_Noise_hybrid_multi_fractal_doc}, + {"ridged_multi_fractal", (PyCFunction) M_Noise_ridged_multi_fractal, METH_VARARGS, M_Noise_ridged_multi_fractal_doc}, + {"voronoi", (PyCFunction) M_Noise_voronoi, METH_VARARGS, M_Noise_voronoi_doc}, + {"cell", (PyCFunction) M_Noise_cell, METH_VARARGS, M_Noise_cell_doc}, + {"cell_vector", (PyCFunction) M_Noise_cell_vector, METH_VARARGS, M_Noise_cell_vector_doc}, + {NULL, NULL, 0, NULL} +}; + +static struct PyModuleDef M_Noise_module_def = { + PyModuleDef_HEAD_INIT, + "mathutils.noise", /* m_name */ + M_Noise_doc, /* m_doc */ + 0, /* m_size */ + M_Noise_methods, /* m_methods */ + NULL, /* m_reload */ + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL, /* m_free */ +}; + +/*----------------------------MODULE INIT-------------------------*/ +PyMODINIT_FUNC PyInit_mathutils_noise(void) +{ + PyObject *submodule = PyModule_Create(&M_Noise_module_def); + PyObject *item_types, *item_metrics; + + /* use current time as seed for random number generator by default */ + setRndSeed(0); + + PyModule_AddObject(submodule, "types", (item_types=PyInit_mathutils_noise_types())); + PyDict_SetItemString(PyThreadState_GET()->interp->modules, "noise.types", item_types); + Py_INCREF(item_types); + + PyModule_AddObject(submodule, "distance_metrics", (item_metrics=PyInit_mathutils_noise_metrics())); + PyDict_SetItemString(PyThreadState_GET()->interp->modules, "noise.distance_metrics", item_metrics); + Py_INCREF(item_metrics); + + return submodule; +} + +/*----------------------------SUBMODULE INIT-------------------------*/ +static struct PyModuleDef M_NoiseTypes_module_def = { + PyModuleDef_HEAD_INIT, + "mathutils.noise.types", /* m_name */ + NULL, /* m_doc */ + 0, /* m_size */ + NULL, /* m_methods */ + NULL, /* m_reload */ + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL, /* m_free */ +}; + +PyMODINIT_FUNC PyInit_mathutils_noise_types(void) +{ + PyObject *submodule = PyModule_Create(&M_NoiseTypes_module_def); + + PyModule_AddIntConstant(submodule, (char *)"BLENDER", TEX_BLENDER); + PyModule_AddIntConstant(submodule, (char *)"STDPERLIN", TEX_STDPERLIN); + PyModule_AddIntConstant(submodule, (char *)"NEWPERLIN", TEX_NEWPERLIN); + PyModule_AddIntConstant(submodule, (char *)"VORONOI_F1", TEX_VORONOI_F1); + PyModule_AddIntConstant(submodule, (char *)"VORONOI_F2", TEX_VORONOI_F2); + PyModule_AddIntConstant(submodule, (char *)"VORONOI_F3", TEX_VORONOI_F3); + PyModule_AddIntConstant(submodule, (char *)"VORONOI_F4", TEX_VORONOI_F4); + PyModule_AddIntConstant(submodule, (char *)"VORONOI_F2F1", TEX_VORONOI_F2F1); + PyModule_AddIntConstant(submodule, (char *)"VORONOI_CRACKLE", TEX_VORONOI_CRACKLE); + PyModule_AddIntConstant(submodule, (char *)"CELLNOISE", TEX_CELLNOISE); + + return submodule; +} + +static struct PyModuleDef M_NoiseMetrics_module_def = { + PyModuleDef_HEAD_INIT, + "mathutils.noise.distance_metrics", /* m_name */ + NULL, /* m_doc */ + 0, /* m_size */ + NULL, /* m_methods */ + NULL, /* m_reload */ + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL, /* m_free */ +}; + +PyMODINIT_FUNC PyInit_mathutils_noise_metrics(void) +{ + PyObject *submodule = PyModule_Create(&M_NoiseMetrics_module_def); + + PyModule_AddIntConstant(submodule, (char *)"DISTANCE", TEX_DISTANCE); + PyModule_AddIntConstant(submodule, (char *)"DISTANCE_SQUARED", TEX_DISTANCE_SQUARED); + PyModule_AddIntConstant(submodule, (char *)"MANHATTAN", TEX_MANHATTAN); + PyModule_AddIntConstant(submodule, (char *)"CHEBYCHEV", TEX_CHEBYCHEV); + PyModule_AddIntConstant(submodule, (char *)"MINKOVSKY_HALF", TEX_MINKOVSKY_HALF); + PyModule_AddIntConstant(submodule, (char *)"MINKOVSKY_FOUR", TEX_MINKOVSKY_FOUR); + PyModule_AddIntConstant(submodule, (char *)"MINKOVSKY", TEX_MINKOVSKY); + + return submodule; +} diff --git a/source/blender/python/mathutils/mathutils_noise.h b/source/blender/python/mathutils/mathutils_noise.h new file mode 100644 index 00000000000..6a6527588ef --- /dev/null +++ b/source/blender/python/mathutils/mathutils_noise.h @@ -0,0 +1,36 @@ +/* + * ***** 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/mathutils/mathutils_noise.h + * \ingroup mathutils + */ + +#ifndef MATHUTILS_NOISE_H +#define MATHUTILS_NOISE_H + +#include "mathutils.h" + +PyMODINIT_FUNC PyInit_mathutils_noise(void); +PyMODINIT_FUNC PyInit_mathutils_noise_types(void); +PyMODINIT_FUNC PyInit_mathutils_noise_metrics(void); + +#endif // MATHUTILS_NOISE_H |