Finally, I can see the columns

[btipling]

Summary by CodeRabbit

• New Features

  • Introduced new functions for constructing matrices from flat arrays, enhancing the flexibility of matrix creation.

• Refactor

  • Updated existing matrix construction methods to improve code readability and maintainability by utilizing the new functions.

• Tests

  • Enhanced test cases for matrices to ensure more accurate comparisons with a custom equality function.

[coderabbitai]

Walkthrough

The changes introduce a new inline function, mc, for constructing matrices from a flat array of 16 floating-point values in a column-major order. Existing matrix construction functions have been refactored to utilize this new function. Additionally, test cases have been updated to use a custom equality function for floating-point comparisons, enhancing overall code clarity and maintainability.

Changes

Files	Change Summary
src/foundations/math/matrix.zig	Added pub inline fn mc(d: [16]f32) matrix. Refactored various matrix construction functions to use this new function. Updated test cases for floating-point equality checks.

Poem

🐇 In the world of matrices, oh what a sight,
New functions arise, making coding feel right.
With mc, the order's a breeze,
Floating-point checks now dance with ease.
Hopping through code, so clear and so bright,
A rabbit rejoices in this coding delight! ✨

---

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[coderabbitai]

Actionable comments posted: 0

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between fc0b277 and 64b22ca.

Files selected for processing (1)

• src/foundations/math/matrix.zig (10 hunks)

Additional comments not posted (5)

src/foundations/math/matrix.zig (5)

11-19: Review of mc function for column-major matrix construction

The mc function is correctly implemented for constructing a matrix in column-major order using a flat array. The nested loops correctly assign values to the matrix's columns, ensuring that the matrix is populated as expected. The use of comptime for the variable m ensures that the matrix is allocated at compile time, which can improve performance.

The implementation is efficient and follows best practices for inline functions in Zig.

---

21-29: Review of mr function for row-major matrix construction

The mr function mirrors the mc function but for row-major order. It is correctly implemented, with the nested loops properly populating the matrix's columns based on the input array. The use of var for the matrix m suggests that it is allocated at runtime, which is appropriate for this context.

The function is correctly implemented and adheres to the expected standards for matrix construction in Zig.

---

32-37: Refactoring of matrix construction functions to use mc and mr

The refactoring of various matrix construction functions (identity, rotationX, rotationY, rotationZ, scale, perspectiveProjectionCamera, infinityProjection, orthographicProjection, translate, normalizedQuaternionToMatrix, leftHandedXUpToNDC) to use the new mc and mr functions is a significant improvement. This change centralizes the matrix creation logic, enhancing maintainability and readability. Each function now simply defines the matrix in a flat array format and passes it to mc or mr, reducing redundancy and potential errors.

The refactoring is well-executed, improving the codebase's structure and clarity.

Also applies to: 41-46, 50-55, 59-64, 68-73, 102-107, 112-117, 122-127, 139-144, 172-177, 181-186

---

235-240: Review of test case for at function

The test case for the at function effectively checks the correctness of the matrix indexing. Using mc to construct the matrix ensures consistency with the new matrix construction methods. The tests are comprehensive, covering various scenarios to ensure the function behaves as expected.

The test case is robust and ensures that the at function works correctly with the new matrix construction approach.

---

Line range hint 745-784: Review of updated test cases for matrix operations

The updated test cases for inverse, orthonormalize, and other matrix transformations now use the custom equal function for floating-point comparisons. This is a crucial update, as it accounts for the precision issues inherent in floating-point arithmetic. The tests are well-structured and provide a good coverage of the functionality, ensuring that the matrix operations perform as expected under various conditions.

The updates to the test cases enhance the robustness and reliability of the matrix operations, aligning with best practices for testing floating-point operations.

Also applies to: 823-835

[coderabbitai]

Actionable comments posted: 0

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 64b22ca and f2eea07.

Files selected for processing (1)

• src/foundations/math/matrix.zig (10 hunks)

Files skipped from review as they are similar to previous changes (1)

• src/foundations/math/matrix.zig