Phase 3: 5D Noise Core Algorithm Implementation #27

Task Description

Implement the core 5D noise generation algorithm for OpenSimplex2F.

Detailed Tasks

1. Implement noise5_Base Function

• Create the base 5D noise algorithm
• Handle input coordinate transformation (un-skew)
• Process both lattice offsets (similar to 4D)

2. Extend Vertex Selection Logic

• Implement 5D vertex selection based on coordinate values
• Select up to 56 vertices (similar to 4D approach)
• Determine which vertices contribute to the noise value

3. Implement Gradient Evaluation

• Calculate gradient contributions for each selected vertex
• Use permGrad5 for gradient selection
• Compute dot product of gradient and offset vectors

4. Handle Lattice Offsets

• Calculate 5D lattice point offsets
• Use proper 5D skewing factors
• Map coordinates to permuted gradient indices

5. Apply Attenuation

• Calculate attenuation for each vertex
• Apply 5D distance-based attenuation
• Sum weighted contributions from all vertices

Files to Modify

• OpenSimplex2F.h - Add noise5 function declaration
• OpenSimplex2F.c - Implement noise5_Base function

Notes

• Follow the existing pattern from 2D, 3D, and 4D implementations
• The algorithm should generalize the 4D approach to 5D
• Ensure proper handling of the dual lattice

Acceptance Criteria

• noise5_Base function compiles and links correctly
• Function generates 5D noise values
• Algorithm follows the OpenSimplex2F methodology
• No compilation errors or warnings]