This commit refactors the collision detection pipeline to utilize a more standard GJK algorithm and simplifies the EPA implementation.
Removes the custom `GjkAlgorithmWithSimplex` in favor of the standalone `GjkAlgorithm`. This streamlines the collision detection process and enhances code clarity.
Updates unit tests to align with the new GJK implementation, ensuring continued functionality and correctness.
Adds a comprehensive unit test for the EPA algorithm,
validating collision detection, depth calculation, and
separation axis determination with a cube overlap scenario.
Refactors the test for clarity and robustness.
Updates the mesh collider to include a scale parameter, allowing for non-uniform scaling of the collision mesh.
This provides more flexibility in defining collision shapes and supports a wider range of scenarios.
Implements a new test case for the GJK algorithm
to verify collision detection when colliders share the same origin.
This enhances the robustness of collision detection in scenarios
where objects are positioned at the same location.
Removes the separate `Simplex` class and integrates its functionality directly into the `GjkAlgorithm`. This simplifies the code and reduces unnecessary overhead.
Updates tests to align with refactored implementation.
Adds GJK algorithm implementation for detecting collisions between mesh colliders.
Includes mesh collider definition and unit tests for basic collision detection.
Provides a foundation for more complex collision handling and physics interactions.
Adds support for different screen origin configurations.
This change allows for more accurate conversion from screen coordinates to world coordinates by correctly handling different screen origin positions (top-left and bottom-left). Includes new unit tests to verify the functionality with both configurations.
Conditionally links the test target to gtest when it is available,
rather than requiring the OMATH_BUILD_VIA_VCPKG flag to be false.
This allows for a more flexible test setup.
Migrates to CMake presets and enables VCPKG to manage dependencies.
Removes explicit submodule configuration.
Updates benchmark and googletest to be integrated or linked properly.
The goal is to ease the build process and reduce complexity related to linking and dependency management.
Corrects the NDC calculation in `world_to_screen` to improve accuracy.
Replaces custom perspective projection matrix calculation with `omath::mat_perspective_right_handed` for correctness and consistency.
Updates test cases and provides debugging information by printing view and projection matrices.
Addresses an issue in the feature/ndc_invalid_calc_fix branch.
Replaces the custom `view_angle_to` function with `omath::source_engine::CameraTrait::calc_look_at_angle` for vector3 view angle calculations.
This change aligns with source engine conventions and improves code consistency.
Eliminates the PE scanner test code from the unit tests.
This removes a test that appears to be broken or no longer relevant, since the test directly references a file path.
Updates the PE scanner implementation to support both 32-bit and 64-bit architectures.
Leverages `std::variant` and a generic `ImageNtHeaders` to abstract architecture-specific details.
Simplifies the logic for retrieving section data, generalizing the process for improved maintainability.
Defines `DosHeader` and `FileHeader` structures to represent PE file header information.
Includes definitions for `MachineId` enum and `FileCharacteristics` union.
These definitions are prerequisite for PE file parsing and analysis.
Implements a pattern scanning feature that allows searching for byte patterns within a byte range.
Adds `scan_for_pattern` method to `PatternScanner` to locate a pattern within a byte span.
Adds corner case tests to verify functionality and handle invalid inputs.
Adds new test cases to cover additional scenarios for pattern scanning, including tests for leading/trailing whitespace and spacing variations to ensure robustness.
Implements a pattern scanner for byte sequence parsing.
Introduces `omath::PatternScanner` to parse pattern strings, which represent byte sequences.
Adds support for wildcard characters ('?' and '?') to represent optional bytes in the pattern.
Includes unit tests for basic read operations to ensure proper functionality.
Saikari
orange