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authorAndrew Hale <TrumanBlending@gmail.com>2018-08-10 15:53:38 +0300
committerAndrew Hale <TrumanBlending@gmail.com>2018-08-10 16:18:00 +0300
commitaa5a96430ea0741fac39b87fe17fb0faddadd3cf (patch)
tree939613119d93366ef1f411b6bcaa635bf3be03c0 /source/blender/python/mathutils/mathutils_Vector.c
parent693ecdf7d3adcef00b26e7f7d52856440ec980e1 (diff)
Python: Add support for @ infix operator matrix multiplication
This differential revision implements the code for T56276 Reviewers: campbellbarton Reviewed By: campbellbarton Differential Revision: https://developer.blender.org/D3587
Diffstat (limited to 'source/blender/python/mathutils/mathutils_Vector.c')
-rw-r--r--source/blender/python/mathutils/mathutils_Vector.c166
1 files changed, 129 insertions, 37 deletions
diff --git a/source/blender/python/mathutils/mathutils_Vector.c b/source/blender/python/mathutils/mathutils_Vector.c
index 6a40f22d9df..dc05f463d22 100644
--- a/source/blender/python/mathutils/mathutils_Vector.c
+++ b/source/blender/python/mathutils/mathutils_Vector.c
@@ -1706,12 +1706,25 @@ static PyObject *vector_mul_float(VectorObject *vec, const float scalar)
mul_vn_vn_fl(tvec, vec->vec, vec->size, scalar);
return Vector_CreatePyObject_alloc(tvec, vec->size, Py_TYPE(vec));
}
+#ifdef USE_MATHUTILS_ELEM_MUL
+static PyObject *vector_mul_vec(VectorObject *vec1, VectorObject *vec2)
+{
+ float *tvec = PyMem_Malloc(vec1->size * sizeof(float));
+ if (tvec == NULL) {
+ PyErr_SetString(PyExc_MemoryError,
+ "vec * vec: "
+ "problem allocating pointer space");
+ return NULL;
+ }
+ mul_vn_vnvn(tvec, vec1->vec, vec2->vec, vec1->size);
+ return Vector_CreatePyObject_alloc(tvec, vec1->size, Py_TYPE(vec1));
+}
+#endif
static PyObject *Vector_mul(PyObject *v1, PyObject *v2)
{
VectorObject *vec1 = NULL, *vec2 = NULL;
float scalar;
- int vec_size;
if (VectorObject_Check(v1)) {
vec1 = (VectorObject *)v1;
@@ -1729,6 +1742,7 @@ static PyObject *Vector_mul(PyObject *v1, PyObject *v2)
/* make sure v1 is always the vector */
if (vec1 && vec2) {
+#ifdef USE_MATHUTILS_ELEM_MUL
if (vec1->size != vec2->size) {
PyErr_SetString(PyExc_ValueError,
"Vector multiplication: "
@@ -1736,30 +1750,12 @@ static PyObject *Vector_mul(PyObject *v1, PyObject *v2)
return NULL;
}
- /*dot product*/
- return PyFloat_FromDouble(dot_vn_vn(vec1->vec, vec2->vec, vec1->size));
+ /* element-wise product */
+ return vector_mul_vec(vec1, vec2);
+#endif
}
else if (vec1) {
- if (MatrixObject_Check(v2)) {
- /* VEC * MATRIX */
- float tvec[MAX_DIMENSIONS];
-
- if (BaseMath_ReadCallback((MatrixObject *)v2) == -1)
- return NULL;
- if (row_vector_multiplication(tvec, vec1, (MatrixObject *)v2) == -1) {
- return NULL;
- }
-
- if (((MatrixObject *)v2)->num_row == 4 && vec1->size == 3) {
- vec_size = 3;
- }
- else {
- vec_size = ((MatrixObject *)v2)->num_col;
- }
-
- return Vector_CreatePyObject(tvec, vec_size, Py_TYPE(vec1));
- }
- else if (((scalar = PyFloat_AsDouble(v2)) == -1.0f && PyErr_Occurred()) == 0) { /* VEC * FLOAT */
+ if (((scalar = PyFloat_AsDouble(v2)) == -1.0f && PyErr_Occurred()) == 0) { /* VEC * FLOAT */
return vector_mul_float(vec1, scalar);
}
}
@@ -1768,12 +1764,9 @@ static PyObject *Vector_mul(PyObject *v1, PyObject *v2)
return vector_mul_float(vec2, scalar);
}
}
- else {
- BLI_assert(!"internal error");
- }
PyErr_Format(PyExc_TypeError,
- "Vector multiplication: "
+ "Element-wise multiplication: "
"not supported between '%.200s' and '%.200s' types",
Py_TYPE(v1)->tp_name, Py_TYPE(v2)->tp_name);
return NULL;
@@ -1782,32 +1775,129 @@ static PyObject *Vector_mul(PyObject *v1, PyObject *v2)
/* multiplication in-place: obj *= obj */
static PyObject *Vector_imul(PyObject *v1, PyObject *v2)
{
- VectorObject *vec = (VectorObject *)v1;
+ VectorObject *vec1 = NULL, *vec2 = NULL;
float scalar;
- if (BaseMath_ReadCallback_ForWrite(vec) == -1)
+ if (VectorObject_Check(v1)) {
+ vec1 = (VectorObject *)v1;
+ if (BaseMath_ReadCallback(vec1) == -1)
+ return NULL;
+ }
+ if (VectorObject_Check(v2)) {
+ vec2 = (VectorObject *)v2;
+ if (BaseMath_ReadCallback(vec2) == -1)
+ return NULL;
+ }
+
+ if (BaseMath_ReadCallback_ForWrite(vec1) == -1)
return NULL;
/* Intentionally don't support (Quaternion, Matrix) here, uses reverse order instead. */
- /* only support 'vec *= float'
- * vec*=vec result is a float so that wont work */
- if (((scalar = PyFloat_AsDouble(v2)) == -1.0f && PyErr_Occurred()) == 0) { /* VEC *= FLOAT */
- mul_vn_fl(vec->vec, vec->size, scalar);
+ if (vec1 && vec2) {
+#ifdef USE_MATHUTILS_ELEM_MUL
+ if (vec1->size != vec2->size) {
+ PyErr_SetString(PyExc_ValueError,
+ "Vector multiplication: "
+ "vectors must have the same dimensions for this operation");
+ return NULL;
+ }
+
+ /* element-wise product inplace */
+ mul_vn_vn(vec1->vec, vec2->vec, vec1->size);
+#else
+ PyErr_Format(PyExc_TypeError,
+ "Inplace element-wise multiplication: "
+ "not supported between '%.200s' and '%.200s' types",
+ Py_TYPE(v1)->tp_name, Py_TYPE(v2)->tp_name);
+ return NULL;
+#endif
+ }
+ else if (vec1 && (((scalar = PyFloat_AsDouble(v2)) == -1.0f && PyErr_Occurred()) == 0)) { /* VEC *= FLOAT */
+ mul_vn_fl(vec1->vec, vec1->size, scalar);
}
else {
PyErr_Format(PyExc_TypeError,
- "Vector multiplication: (%s *= %s) "
- "invalid type for this operation",
- Py_TYPE(v1)->tp_name, Py_TYPE(v2)->tp_name);
+ "Inplace element-wise multiplication: "
+ "not supported between '%.200s' and '%.200s' types",
+ Py_TYPE(v1)->tp_name, Py_TYPE(v2)->tp_name);
return NULL;
}
- (void)BaseMath_WriteCallback(vec);
+ (void)BaseMath_WriteCallback(vec1);
Py_INCREF(v1);
return v1;
}
+static PyObject *Vector_matmul(PyObject *v1, PyObject *v2)
+{
+ VectorObject *vec1 = NULL, *vec2 = NULL;
+ int vec_size;
+
+ if (VectorObject_Check(v1)) {
+ vec1 = (VectorObject *)v1;
+ if (BaseMath_ReadCallback(vec1) == -1)
+ return NULL;
+ }
+ if (VectorObject_Check(v2)) {
+ vec2 = (VectorObject *)v2;
+ if (BaseMath_ReadCallback(vec2) == -1)
+ return NULL;
+ }
+
+
+ /* Intentionally don't support (Quaternion) here, uses reverse order instead. */
+
+ /* make sure v1 is always the vector */
+ if (vec1 && vec2) {
+ if (vec1->size != vec2->size) {
+ PyErr_SetString(PyExc_ValueError,
+ "Vector multiplication: "
+ "vectors must have the same dimensions for this operation");
+ return NULL;
+ }
+
+ /*dot product*/
+ return PyFloat_FromDouble(dot_vn_vn(vec1->vec, vec2->vec, vec1->size));
+ }
+ else if (vec1) {
+ if (MatrixObject_Check(v2)) {
+ /* VEC @ MATRIX */
+ float tvec[MAX_DIMENSIONS];
+
+ if (BaseMath_ReadCallback((MatrixObject *)v2) == -1)
+ return NULL;
+ if (row_vector_multiplication(tvec, vec1, (MatrixObject *)v2) == -1) {
+ return NULL;
+ }
+
+ if (((MatrixObject *)v2)->num_row == 4 && vec1->size == 3) {
+ vec_size = 3;
+ }
+ else {
+ vec_size = ((MatrixObject *)v2)->num_col;
+ }
+
+ return Vector_CreatePyObject(tvec, vec_size, Py_TYPE(vec1));
+ }
+ }
+
+ PyErr_Format(PyExc_TypeError,
+ "Vector multiplication: "
+ "not supported between '%.200s' and '%.200s' types",
+ Py_TYPE(v1)->tp_name, Py_TYPE(v2)->tp_name);
+ return NULL;
+}
+
+static PyObject *Vector_imatmul(PyObject *v1, PyObject *v2)
+{
+ PyErr_Format(PyExc_TypeError,
+ "Inplace vector multiplication: "
+ "not supported between '%.200s' and '%.200s' types",
+ Py_TYPE(v1)->tp_name, Py_TYPE(v2)->tp_name);
+ return NULL;
+}
+
/* divid: obj / obj */
static PyObject *Vector_div(PyObject *v1, PyObject *v2)
{
@@ -2119,6 +2209,8 @@ static PyNumberMethods Vector_NumMethods = {
NULL, /* nb_inplace_floor_divide */
Vector_idiv, /* nb_inplace_true_divide */
NULL, /* nb_index */
+ (binaryfunc) Vector_matmul, /* nb_matrix_multiply */
+ (binaryfunc) Vector_imatmul, /* nb_inplace_matrix_multiply */
};
/*------------------PY_OBECT DEFINITION--------------------------*/