now you can still use column access
previously...
mat[2] = 1, 2, 3
needed to be converted into...
mat[0][2] = 1
mat[1][2] = 2
mat[2][2] = 3
but with column access you can do...
mat.col[2] = 1, 2, 3
Having 'row' attribute is a bit redundant since direct indexing on a matrix uses row but included for completeness.
this is a part of patch 29534, being applied separately
from patch [#29534] Change Matrix Representation and Access in Python to Conform with Standard Notation
by Andrew Hale (trumanblending)
* 1. Resize 4x4, code was ridiculously complex (cleanup only)
* 2. matrix * matrix checking for compatibility wasn't working right (bug in last release)
* 3. fix for result size for matrix * vector if matrix is 4x4 and vector size 3 (bug in recent patch)
* 4. fix for result size vector * matrix if matrix is 4x4 and vector size 3 (bug in recent patch)
also add an assert so invalid index access will raise an error in debug mode, without this it was quite easy to access invalid memory without meaning to.
no functional change.
from Andrew Hale (trumanblending), with some edits to use these in mathutils.Vector added.
Added Functions:
- dot_vn_vn - Dot product of two arrays
- normalize_vn_vn - Normalize an array and store the result in a second array
- normalize_vn - Normalize an array inplace
Renamed Functions:
Some functions have been renamed to make them consistent with the naming conventions used by fixed length array functions.
- fill_vni to fill_vn_i
- fill_vn to fill_vn_fl
- added API examples for mathutils.Color/Euler/Quaternion/Matrix.
- corrected own bad spelling matricies --> matrices.
- minor pep8 edits.
- update CMake ignore file list.
vector * matrix
vector *= matrix
vector * quaternion
vector *= quaternion
Use the reverse order instead, enable WITH_ASSERT_ABORT in cmake to promote the warnings into errors.
[#28032] Python Mathutils: Matrix Multiplication Error
Since they ended up reversing the order we better keep old code unless its proven to be incorrect.
also change Matrix.__repr__ function args to evaluate correctly (need to be inside a tuple).
