/* * ***** 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. * * ***** END GPL LICENSE BLOCK ***** */ /** \file source/blender/freestyle/intern/python/BPy_FrsNoise.cpp * \ingroup freestyle */ #include "BPy_FrsNoise.h" #include "BPy_Convert.h" #include #ifdef __cplusplus extern "C" { #endif /////////////////////////////////////////////////////////////////////////////////////////// //-------------------MODULE INITIALIZATION-------------------------------- int FrsNoise_Init(PyObject *module) { if (module == NULL) return -1; if (PyType_Ready(&FrsNoise_Type) < 0) return -1; Py_INCREF(&FrsNoise_Type); PyModule_AddObject(module, "Noise", (PyObject *)&FrsNoise_Type); return 0; } //------------------------INSTANCE METHODS ---------------------------------- PyDoc_STRVAR(FrsNoise_doc, "Class to provide Perlin noise functionalities.\n" "\n" ".. method:: __init__(seed = -1)\n" "\n" " Builds a Noise object. Seed is an optional argument. The seed value is used\n" " as a seed for random number generation if it is equal to or greater than zero;\n" " otherwise, time is used as a seed.\n" "\n" " :arg seed: Seed for random number generation.\n" " :type seed: int"); static int FrsNoise_init(BPy_FrsNoise *self, PyObject *args, PyObject *kwds) { static const char *kwlist[] = {"seed", NULL}; long seed = -1; if (!PyArg_ParseTupleAndKeywords(args, kwds, "|l", (char **)kwlist, &seed)) return -1; self->n = new Noise(seed); return 0; } static void FrsNoise_dealloc(BPy_FrsNoise *self) { delete self->n; Py_TYPE(self)->tp_free((PyObject *)self); } static PyObject *FrsNoise_repr(BPy_FrsNoise *self) { return PyUnicode_FromFormat("Noise - address: %p", self->n); } PyDoc_STRVAR(FrsNoise_turbulence1_doc, ".. method:: turbulence1(v, freq, amp, oct=4)\n" "\n" " Returns a noise value for a 1D element.\n" "\n" " :arg v: One-dimensional sample point.\n" " :type v: float\n" " :arg freq: Noise frequency.\n" " :type freq: float\n" " :arg amp: Amplitude.\n" " :type amp: float\n" " :arg oct: Number of octaves.\n" " :type oct: int\n" " :return: A noise value.\n" " :rtype: float"); static PyObject *FrsNoise_turbulence1(BPy_FrsNoise *self, PyObject *args, PyObject *kwds) { static const char *kwlist[] = {"v", "freq", "amp", "oct", NULL}; float f1, f2, f3; unsigned int i = 4; if (!PyArg_ParseTupleAndKeywords(args, kwds, "fff|I", (char **)kwlist, &f1, &f2, &f3, &i)) return NULL; return PyFloat_FromDouble(self->n->turbulence1(f1, f2, f3, i)); } PyDoc_STRVAR(FrsNoise_turbulence2_doc, ".. method:: turbulence2(v, freq, amp, oct=4)\n" "\n" " Returns a noise value for a 2D element.\n" "\n" " :arg v: Two-dimensional sample point.\n" " :type v: :class:`mathutils.Vector`, list or tuple of 2 real numbers\n" " :arg freq: Noise frequency.\n" " :type freq: float\n" " :arg amp: Amplitude.\n" " :type amp: float\n" " :arg oct: Number of octaves.\n" " :type oct: int\n" " :return: A noise value.\n" " :rtype: float"); static PyObject *FrsNoise_turbulence2(BPy_FrsNoise *self, PyObject *args, PyObject *kwds) { static const char *kwlist[] = {"v", "freq", "amp", "oct", NULL}; PyObject *obj1; float f2, f3; unsigned int i = 4; Vec2f vec; if (!PyArg_ParseTupleAndKeywords(args, kwds, "Off|I", (char **)kwlist, &obj1, &f2, &f3, &i)) return NULL; if (!Vec2f_ptr_from_PyObject(obj1, &vec)) { PyErr_SetString(PyExc_TypeError, "argument 1 must be a 2D vector (either a list of 2 elements or Vector)"); return NULL; } float t = self->n->turbulence2(vec, f2, f3, i); return PyFloat_FromDouble(t); } PyDoc_STRVAR(FrsNoise_turbulence3_doc, ".. method:: turbulence3(v, freq, amp, oct=4)\n" "\n" " Returns a noise value for a 3D element.\n" "\n" " :arg v: Three-dimensional sample point.\n" " :type v: :class:`mathutils.Vector`, list or tuple of 3 real numbers\n" " :arg freq: Noise frequency.\n" " :type freq: float\n" " :arg amp: Amplitude.\n" " :type amp: float\n" " :arg oct: Number of octaves.\n" " :type oct: int\n" " :return: A noise value.\n" " :rtype: float"); static PyObject *FrsNoise_turbulence3(BPy_FrsNoise *self, PyObject *args, PyObject *kwds) { static const char *kwlist[] = {"v", "freq", "amp", "oct", NULL}; PyObject *obj1; float f2, f3; unsigned int i = 4; Vec3f vec; if (!PyArg_ParseTupleAndKeywords(args, kwds, "Off|I", (char **)kwlist, &obj1, &f2, &f3, &i)) return NULL; if (!Vec3f_ptr_from_PyObject(obj1, &vec)) { PyErr_SetString(PyExc_TypeError, "argument 1 must be a 3D vector (either a list of 3 elements or Vector)"); return NULL; } float t = self->n->turbulence3(vec, f2, f3, i); return PyFloat_FromDouble(t); } PyDoc_STRVAR(FrsNoise_smoothNoise1_doc, ".. method:: smoothNoise1(v)\n" "\n" " Returns a smooth noise value for a 1D element.\n" "\n" " :arg v: One-dimensional sample point.\n" " :type v: float\n" " :return: A smooth noise value.\n" " :rtype: float"); static PyObject *FrsNoise_smoothNoise1(BPy_FrsNoise *self, PyObject *args, PyObject *kwds) { static const char *kwlist[] = {"v", NULL}; float f; if (!PyArg_ParseTupleAndKeywords(args, kwds, "f", (char **)kwlist, &f)) return NULL; return PyFloat_FromDouble(self->n->smoothNoise1(f)); } PyDoc_STRVAR(FrsNoise_smoothNoise2_doc, ".. method:: smoothNoise2(v)\n" "\n" " Returns a smooth noise value for a 2D element.\n" "\n" " :arg v: Two-dimensional sample point.\n" " :type v: :class:`mathutils.Vector`, list or tuple of 2 real numbers\n" " :return: A smooth noise value.\n" " :rtype: float"); static PyObject *FrsNoise_smoothNoise2(BPy_FrsNoise *self, PyObject *args, PyObject *kwds) { static const char *kwlist[] = {"v", NULL}; PyObject *obj; Vec2f vec; if (!PyArg_ParseTupleAndKeywords(args, kwds, "O", (char **)kwlist, &obj)) return NULL; if (!Vec2f_ptr_from_PyObject(obj, &vec)) { PyErr_SetString(PyExc_TypeError, "argument 1 must be a 2D vector (either a list of 2 elements or Vector)"); return NULL; } float t = self->n->smoothNoise2(vec); return PyFloat_FromDouble(t); } PyDoc_STRVAR(FrsNoise_smoothNoise3_doc, ".. method:: smoothNoise3(v)\n" "\n" " Returns a smooth noise value for a 3D element.\n" "\n" " :arg v: Three-dimensional sample point.\n" " :type v: :class:`mathutils.Vector`, list or tuple of 3 real numbers\n" " :return: A smooth noise value.\n" " :rtype: float"); static PyObject *FrsNoise_smoothNoise3(BPy_FrsNoise *self, PyObject *args, PyObject *kwds) { static const char *kwlist[] = {"v", NULL}; PyObject *obj; Vec3f vec; if (!PyArg_ParseTupleAndKeywords(args, kwds, "O", (char **)kwlist, &obj)) return NULL; if (!Vec3f_ptr_from_PyObject(obj, &vec)) { PyErr_SetString(PyExc_TypeError, "argument 1 must be a 3D vector (either a list of 3 elements or Vector)"); return NULL; } float t = self->n->smoothNoise3(vec); return PyFloat_FromDouble(t); } static PyMethodDef BPy_FrsNoise_methods[] = { {"turbulence1", (PyCFunction)FrsNoise_turbulence1, METH_VARARGS | METH_KEYWORDS, FrsNoise_turbulence1_doc}, {"turbulence2", (PyCFunction)FrsNoise_turbulence2, METH_VARARGS | METH_KEYWORDS, FrsNoise_turbulence2_doc}, {"turbulence3", (PyCFunction)FrsNoise_turbulence3, METH_VARARGS | METH_KEYWORDS, FrsNoise_turbulence3_doc}, {"smoothNoise1", (PyCFunction)FrsNoise_smoothNoise1, METH_VARARGS | METH_KEYWORDS, FrsNoise_smoothNoise1_doc}, {"smoothNoise2", (PyCFunction)FrsNoise_smoothNoise2, METH_VARARGS | METH_KEYWORDS, FrsNoise_smoothNoise2_doc}, {"smoothNoise3", (PyCFunction)FrsNoise_smoothNoise3, METH_VARARGS | METH_KEYWORDS, FrsNoise_smoothNoise3_doc}, {NULL, NULL, 0, NULL} }; /*-----------------------BPy_FrsNoise type definition ------------------------------*/ PyTypeObject FrsNoise_Type = { PyVarObject_HEAD_INIT(NULL, 0) "Noise", /* tp_name */ sizeof(BPy_FrsNoise), /* tp_basicsize */ 0, /* tp_itemsize */ (destructor)FrsNoise_dealloc, /* tp_dealloc */ 0, /* tp_print */ 0, /* tp_getattr */ 0, /* tp_setattr */ 0, /* tp_reserved */ (reprfunc)FrsNoise_repr, /* tp_repr */ 0, /* tp_as_number */ 0, /* tp_as_sequence */ 0, /* tp_as_mapping */ 0, /* tp_hash */ 0, /* tp_call */ 0, /* tp_str */ 0, /* tp_getattro */ 0, /* tp_setattro */ 0, /* tp_as_buffer */ Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags */ FrsNoise_doc, /* tp_doc */ 0, /* tp_traverse */ 0, /* tp_clear */ 0, /* tp_richcompare */ 0, /* tp_weaklistoffset */ 0, /* tp_iter */ 0, /* tp_iternext */ BPy_FrsNoise_methods, /* tp_methods */ 0, /* tp_members */ 0, /* tp_getset */ 0, /* tp_base */ 0, /* tp_dict */ 0, /* tp_descr_get */ 0, /* tp_descr_set */ 0, /* tp_dictoffset */ (initproc)FrsNoise_init, /* tp_init */ 0, /* tp_alloc */ PyType_GenericNew, /* tp_new */ }; /////////////////////////////////////////////////////////////////////////////////////////// #ifdef __cplusplus } #endif