Michele Grimaldi - Portfolio

🛠️ Open Source Contributions

unDAW

• Contributed to the unDAW project, an open-source Digital Audio Workstation (DAW) for Unreal Engine.
• My spatial audio codes, available in the repository My-Cpp-Codes-For-UnrealEngine, were integrated into the project.
• Focused on algorithms for improving spatial audio rendering and optimizing audio performance.

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Axelrod

• Worked on the Axelrod project, a framework for simulating strategies and tournaments in the prisoner's dilemma.
• Key Contributions (using Tox for testing and debugging):
  • Fix test issues and optimize test execution:
    • Used Tox to identify and fix the TestOpponent import error in test_sequence_player.py.
    • Refactored test classes with __init__ constructors to resolve PytestCollectionWarning.
    • Addressed UserWarnings in test_memoryone.py and test_memorytwo.py related to default player settings, ensuring better compatibility.
    • Handled the seed reproducibility warning in test_player.py to guarantee deterministic test results.
    • Resolved the RuntimeWarning in test_zero_determinant.py caused by invalid division.
    • Optimized test execution by running tests in parallel with pytest-xdist to improve efficiency.
    • Fixed minor warnings related to test strategies and examples.
    • Refactored test_tournament.py:
      • Renamed files from stochastic_tournament to deterministic_tournament for consistency.
      • Added logic to remove existing output files before re-generating them to prevent conflicts.
      • Improved seed handling for deterministic and stochastic tournaments.
    • Updated OpponentTest class:
      • Renamed from TestOpponent for clarity and better pytest compatibility.
      • Removed the __init__ constructor and replaced it with a static strategy method.
    • Adjusted Hypothesis-based tests (test_property.py):
      • Replaced .example() with the @given decorator for better random test generation.
      • Reduced test examples (max_examples=3) to speed up execution without affecting coverage.
  • Documentation improvements:
    • Updated docs/Makefile:
      • Removed the -W flag to prevent warnings from being treated as errors during documentation builds.
      • Added comments to clarify changes and facilitate future updates.
    • Revised CHANGES.md to document fixes, improvements, and new optimizations in tests and configurations.
  • Configuration updates:
    • Enhanced tox.ini:
      • Added pytest-xdist for parallel test execution.
      • Included isort and black checks for code consistency.
      • Updated Python environment configurations to support Python 3.11 and Python 3.12.
    • Consolidated and updated dependencies in requirements.txt and docs/requirements.txt:
      • Added missing dependencies (pytest, pytest-xdist, tox, numpy, etc.).
      • Updated versions of several libraries (e.g., numpy, hypothesis, matplotlib) to ensure compatibility.
  • Performance and reliability:
    • Used Tox to debug and fix warnings related to reproducibility, including seed warnings and floating-point operations.
    • Improved test reproducibility by centralizing seed initialization and ensuring consistent random behavior across runs.
    • Enhanced test reliability by enforcing deterministic outputs in test_tournament.py.

This work was completed with Tox as the primary tool for testing, debugging, and ensuring compatibility across multiple Python environments.

LiSE

Recap of Work on the LiSE Project

First Commit

• Created a new Python virtual environment (venv312) to ensure compatibility with Python 3.12, using the required modules.
• Installed necessary dependencies, including msgpack, pytest, tox, black, and isort.
• Configured tox to test the project in a specific Python environment (3.12).
• Used pytest to run the project tests and resolved the following issues:
  • DeprecationWarnings related to the use of ast.Num and ast.Str, updating them to ensure compatibility with Python 3.14.
  • PytestUnknownMarkWarnings: Corrected or registered custom markers @pytest.mark.big and @pytest.mark.slow to avoid warnings.
• Used Black to automatically format the project code according to PEP 8 standards.
• Used isort to organize imports in the code files.
• Fixed sorting errors and formatted the following files:
  • Example files (examples/*.py).
  • Main modules (LiSE/, ELiDE/).
  • Test files (tests/*.py).
• Resolved a warning related to tarfile.py by specifying the filter argument to prepare for upcoming changes in Python 3.14.
• Applied fixes compatible with future versions of the language to ensure backward compatibility and project scalability.
• Properly configured the Git user:
  • Email: mikgrimaldi7@gmail.com.
  • Username: Mike014.
• Made a significant commit with the message:

  "Fix warnings and format code, Resolved DeprecationWarnings, formatted code with Black, and cleaned up imports using isort."

• Planned to push changes to the GitHub repository LiSE.
• The work improved:
  • Code readability.
  • Future compatibility of the project with newer Python versions.
  • Code structure and consistency.
• Ready to share the changes with the open-source project community.

Second Commit

Refactored code, improved documentation, and updated configuration:

• Applied code refactoring across multiple files for consistency and readability.
• Enhanced the Sphinx documentation:
  • Added detailed sections for Introduction, Design, and ELiDE.
  • Improved the structure and formatting of .rst files.
• Updated and tested the project setup:
  • Improved setup.py to handle encoding and enhanced dependency management.
  • Fixed issues in eqversion.py and main.py for better compatibility and error handling.
• Improved tox configuration to include additional checks:
  • Added isort and black commands to the tox.ini configuration.
  • Personalized pytest markers for better test categorization.
• Incorporated pylint for static code analysis:
  • Fixed critical issues such as unused variables (W0613), undefined loop variables (W0631), and improper imports (E0401).
  • Enhanced code quality by addressing naming style inconsistencies (C0103) and missing docstrings (C0114, C0116).
  • Achieved a score improvement from 6.59/10 to 7.58/10.
• Conducted successful tests using tox:
  • 198 tests passed, 7 skipped, 8 warnings in 535.68 seconds.
• Specific file changes:
  • eqversion.py: Fixed logic for version comparison and added better error messages.
  • main.py: Improved path handling and added fallback for missing modules.
  • setup.py: Enhanced dependency parsing and fixed encoding issues.
  • tox.ini: Enhanced test commands and added personalized markers.
• Updated README.md with comprehensive details about configuration files, Python modules, and documentation structure.

Third Committ

Added data exploration and visualization scripts:

• Created explore_data.py: Added a function get_tables to retrieve the names of all tables in the specified SQLite database. Included detailed docstrings for better understanding and documentation.
• Created visualize_data.py: Added functionality to visualize the distribution of a specific column in a table from the SQLite database using matplotlib and seaborn. Included example usage to demonstrate how to use the functions to explore and visualize data from the database.
• Example usage in visualize_data.py: Demonstrated how to connect to the database, retrieve table names, and visualize data from a specific table and column. Ensured compatibility and proper error handling for missing tables or columns. Improved project structure and documentation to facilitate data analysis and visualization tasks.

🎮 Video Games

Contributed to the development of several indie video games, working on both sound design and code implementation:

1. Cats' Craving

   • Role: Created immersive audio and implemented gameplay logic using Unreal Engine.

2. My Clicky Game Music

   • Role: Created dynamic music and wrote gameplay code.

3. Xenolith

   • Role: Optimized the audio engine and implemented gameplay features.

4. Ninja Pizza and the Lost Pineapple Sauce

   • Role: Designed sound effects, composed music, and programmed audio events in gameplay.

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🎧 Key Skills

• Audio Programming: Unreal Engine (C++, Blueprint), JUCE.
• Sound Design: Creating sound effects and dynamic music for games and applications.
• Backend Development: Python for optimizing workflows and resolving issues (e.g., Axelrod project).
• Optimization and Debugging: Resolving complex issues and optimizing workflows in open-source projects.

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🌟 Objectives

To continue growing in my role as a Back-End Software Developer, with expertise in Python, C++, and audio programming for video games. My goal is to contribute to innovative projects that leverage my technical skills to develop robust and efficient solutions in gaming and software development.

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📫 Contact

• GitHub: Mike014
• Email: mikgrimaldi7@gmail.com