HeightMap - kernel_transform (#198)

This commit is contained in:
John McCardle 2026-01-12 21:42:34 -05:00
commit 5a86602789
3 changed files with 432 additions and 0 deletions

View file

@ -438,6 +438,17 @@ PyMethodDef PyHeightMap::methods[] = {
MCRF_ARG("iterations", "Number of smoothing passes (default 1)")
MCRF_RETURNS("HeightMap: self, for method chaining")
)},
{"kernel_transform", (PyCFunction)PyHeightMap::kernel_transform, METH_VARARGS | METH_KEYWORDS,
MCRF_METHOD(HeightMap, kernel_transform,
MCRF_SIG("(weights: dict[tuple[int, int], float], *, min: float = 0.0, max: float = 1e6)", "HeightMap"),
MCRF_DESC("Apply a convolution kernel to the heightmap. Keys are (dx, dy) offsets, values are weights."),
MCRF_ARGS_START
MCRF_ARG("weights", "Dict mapping (dx, dy) offsets to weight values")
MCRF_ARG("min", "Only transform cells with value >= min (default: 0.0)")
MCRF_ARG("max", "Only transform cells with value <= max (default: 1e6)")
MCRF_RETURNS("HeightMap: self, for method chaining")
MCRF_NOTE("Use for edge detection, blur, sharpen, and other convolution effects")
)},
// Combination operations (#194) - with region support
{"add", (PyCFunction)PyHeightMap::add, METH_VARARGS | METH_KEYWORDS,
MCRF_METHOD(HeightMap, add,
@ -1619,6 +1630,114 @@ PyObject* PyHeightMap::smooth(PyHeightMapObject* self, PyObject* args, PyObject*
return (PyObject*)self;
}
// kernel_transform - apply custom convolution kernel (#198)
PyObject* PyHeightMap::kernel_transform(PyHeightMapObject* self, PyObject* args, PyObject* kwds)
{
PyObject* weights_dict = nullptr;
float min_level = 0.0f;
float max_level = 1000000.0f;
static const char* kwlist[] = {"weights", "min", "max", nullptr};
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|ff", const_cast<char**>(kwlist),
&weights_dict, &min_level, &max_level)) {
return nullptr;
}
if (!self->heightmap) {
PyErr_SetString(PyExc_RuntimeError, "HeightMap not initialized");
return nullptr;
}
if (!PyDict_Check(weights_dict)) {
PyErr_SetString(PyExc_TypeError, "weights must be a dict");
return nullptr;
}
Py_ssize_t kernel_size = PyDict_Size(weights_dict);
if (kernel_size <= 0) {
PyErr_SetString(PyExc_ValueError, "weights dict cannot be empty");
return nullptr;
}
// Allocate arrays for the kernel
std::vector<int> dx(kernel_size);
std::vector<int> dy(kernel_size);
std::vector<float> weight(kernel_size);
// Iterate through the dict
PyObject* key;
PyObject* value;
Py_ssize_t pos = 0;
Py_ssize_t idx = 0;
while (PyDict_Next(weights_dict, &pos, &key, &value)) {
// Parse the key as (dx, dy) - can be tuple, list, or Vector
int key_dx = 0, key_dy = 0;
if (PyTuple_Check(key) && PyTuple_Size(key) == 2) {
PyObject* x_obj = PyTuple_GetItem(key, 0);
PyObject* y_obj = PyTuple_GetItem(key, 1);
if (!PyLong_Check(x_obj) || !PyLong_Check(y_obj)) {
PyErr_SetString(PyExc_TypeError, "weights keys must be (int, int) tuples");
return nullptr;
}
key_dx = PyLong_AsLong(x_obj);
key_dy = PyLong_AsLong(y_obj);
} else if (PyList_Check(key) && PyList_Size(key) == 2) {
PyObject* x_obj = PyList_GetItem(key, 0);
PyObject* y_obj = PyList_GetItem(key, 1);
if (!PyLong_Check(x_obj) || !PyLong_Check(y_obj)) {
PyErr_SetString(PyExc_TypeError, "weights keys must be [int, int] lists");
return nullptr;
}
key_dx = PyLong_AsLong(x_obj);
key_dy = PyLong_AsLong(y_obj);
} else if (PyObject_HasAttrString(key, "x") && PyObject_HasAttrString(key, "y")) {
// Vector-like object
PyObject* x_attr = PyObject_GetAttrString(key, "x");
PyObject* y_attr = PyObject_GetAttrString(key, "y");
if (!x_attr || !y_attr) {
Py_XDECREF(x_attr);
Py_XDECREF(y_attr);
PyErr_SetString(PyExc_TypeError, "weights keys must be (dx, dy) tuples, lists, or Vectors");
return nullptr;
}
key_dx = static_cast<int>(PyFloat_Check(x_attr) ? PyFloat_AsDouble(x_attr) : PyLong_AsLong(x_attr));
key_dy = static_cast<int>(PyFloat_Check(y_attr) ? PyFloat_AsDouble(y_attr) : PyLong_AsLong(y_attr));
Py_DECREF(x_attr);
Py_DECREF(y_attr);
} else {
PyErr_SetString(PyExc_TypeError, "weights keys must be (dx, dy) tuples, lists, or Vectors");
return nullptr;
}
// Parse the value as float
float w = 0.0f;
if (PyFloat_Check(value)) {
w = static_cast<float>(PyFloat_AsDouble(value));
} else if (PyLong_Check(value)) {
w = static_cast<float>(PyLong_AsLong(value));
} else {
PyErr_SetString(PyExc_TypeError, "weights values must be numeric (int or float)");
return nullptr;
}
dx[idx] = key_dx;
dy[idx] = key_dy;
weight[idx] = w;
idx++;
}
// Apply the kernel transform
TCOD_heightmap_kernel_transform(self->heightmap, static_cast<int>(kernel_size),
dx.data(), dy.data(), weight.data(),
min_level, max_level);
Py_INCREF(self);
return (PyObject*)self;
}
// =============================================================================
// Combination operations (#194) - with region support
// =============================================================================

View file

@ -53,6 +53,7 @@ public:
static PyObject* rain_erosion(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
static PyObject* dig_bezier(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
static PyObject* smooth(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
static PyObject* kernel_transform(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
// Subscript support for hmap[x, y] syntax
static PyObject* subscript(PyHeightMapObject* self, PyObject* key);