Modifed inv kinematics according to https://linuxcnc.org/docs/html/motion/5-axis-kinematics.html . Works perfectly

Update according to case point 5.3.2. Inverse Transformation

Renamed redundant references to payment card validation left over from Pydantic documentation.

…dator

renamed card validation methods

…lified pydantic v1 and v2 differences

…d circleXY_3pt()

Update point.py

Update design template links in colab tutorials and bin script to point to the
Colab-compatible version instead of raw GitHub links. Add CLAUDE.md to gitignore.

Changes:
- bin/colab_tutorials.py: Fix design_template_new URL to use colab.research.google.com
- tutorials/colab/contents_colab.ipynb: Update design template link to Colab version
- .gitignore: Add CLAUDE.md entry to ignore project instruction file

…coords-comment

Fix duplicated comment about G91

Comprehensive performance test comparing FullControl Points vs NumPy arrays for:
- Point generation (10k random points)
- Coordinate movement operations
- Distance calculations between neighboring points
- Format conversions (Points ↔ NumPy)

Key findings:
- NumPy n×3 format: 300-600x faster for bulk operations
- NumPy 3×n format: slower for distance calc due to Python loops
- N×3 is industry standard and enables full vectorization
- Conversion overhead worthwhile for large datasets

Useful for optimizing geometric computations in FullControl designs.

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