Development

[gjbex]

Summary by Sourcery

Refactor the convolution implementation in both C++ and Python for improved clarity and maintainability, and enhance the testing framework by integrating Catch2 for C++ and pytest for Python.

Enhancements:

• Refactor the convolution function in both C++ and Python to improve clarity and maintainability by renaming variables and simplifying logic.

Documentation:

• Update the Python convolution function's docstring to clarify that the output matrix shape is the same as the input.

Tests:

• Replace the main function in the C++ test file with Catch2 test cases to improve test coverage and structure.
• Add Python test cases using pytest to validate convolution functionality and error handling for even-sized kernels.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR refactors the convolution implementation and testing infrastructure. The main changes include a rewrite of the convolution algorithm to maintain input dimensions, introduction of proper unit tests using Catch2 for C++ and pytest for Python, and improvements to the Matrix class implementation.

Updated class diagram for the Matrix class

classDiagram
    class Matrix {
        +int rows_
        +int cols_
        +std::unique_ptr<double[]> data_
        +Matrix(int rows, int cols)
        +Matrix(const Matrix& other)
        +Matrix& operator=(const Matrix& other)
        +Matrix(Matrix&& other) noexcept
        +Matrix& operator=(Matrix&& other) noexcept
        +double& operator()(int i, int j)
        +double operator()(int i, int j) const
        +int rows() const
        +int cols() const
        +bool operator==(const Matrix& other) const
        +bool operator!=(const Matrix& other) const
        +double* data()
        +const double* data() const
    }
    note for Matrix "Added equality operators == and !="

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File-Level Changes

Change	Details	Files
Refactored convolution algorithm implementation	Changed output matrix to maintain same dimensions as input Improved variable naming for better readability (e.g., s_mid to kernel_row_mid) Simplified boundary condition handling logic Updated algorithm to process kernel elements more efficiently	source-code/convolution/cpp/src/convolution/convolution.cpp source-code/convolution/python/convolution.py
Implemented comprehensive test suite	Added Catch2 framework integration for C++ tests Created test cases for 3x3 and 5x5 kernels Added error testing for even-sized kernels Implemented equivalent pytest-based tests for Python	source-code/convolution/cpp/src/test_convolution.cpp source-code/convolution/python/test_convolution.py source-code/convolution/cpp/src/CMakeLists.txt
Enhanced Matrix class functionality	Added equality comparison operators Improved memory management in move operations Added proper const correctness	source-code/convolution/cpp/src/convolution/matrices.cpp source-code/convolution/cpp/src/convolution/matrices.h

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[sourcery-ai]

Hey @gjbex - I've reviewed your changes and found some issues that need to be addressed.

Blocking issues:

• Bug: max_kernel_row calculation uses kernel.cols() instead of kernel.rows() (link)

Overall Comments:

• Please provide a more descriptive PR title and description explaining the changes (e.g., 'Add unit tests and improve convolution implementation')

Here's what I looked at during the review

• 🔴 General issues: 1 blocking issue
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[sourcery-ai]

issue (bug_risk): Bug: max_kernel_row calculation uses kernel.cols() instead of kernel.rows()

This will produce incorrect results for non-square kernels. Should use kernel.rows() to match the Python implementation.