Mat3X3
Represents a 3×3 matrix of single-precision floating-point values. This datatype is used for 2D/3D linear transforms (e.g. rotation or scaling) within the Telekinesis ecosystem.
Field
Required
| Field | Type | Description |
|---|---|---|
matrix | ArrayLike | 3×3 matrix; shape (3, 3), dtype float32. |
Optional
None.
Methods
| Method | Description |
|---|---|
to_list() | Returns a nested Python list of 3 rows × 3 columns (e.g. [[m00, m01, m02], [m10, m11, m12], [m20, m21, m22]]). |
to_numpy() | Returns a NumPy array of shape (3, 3), dtype float32. |
Example
python
import numpy as np
from datatypes import datatypes
# ------------------------------------------------
# 1. Create Mat3X3 instance
# ------------------------------------------------
matrix = np.array([
[1.0, 0.0, 0.0],
[0.0, 1.0, 0.0],
[0.0, 0.0, 1.0],
], dtype=np.float32)
mat_3x3 = datatypes.Mat3X3(matrix)
# ------------------------------------------------
# 2. Access matrix via to_list and to_numpy
# ------------------------------------------------
matrix_list = mat_3x3.to_list()
logger.info("Mat3X3 to_list row0={}", matrix_list[0])
logger.info("Mat3X3 to_list row1={}", matrix_list[1])
logger.info("Mat3X3 to_list row2={}", matrix_list[2])
logger.info("Mat3X3 to_numpy shape={}", mat_3x3.to_numpy().shape)