Achieving Deterministic Randomness in Python Game Development
Making Python Less Random ๐
The text discusses the author's experience with debugging a Python game prototype that depended on randomness. The author initially attempted to mock the random functions, but encountered challenges due to a third-party library also using random functions. The text then delves into the sources of Python's randomness and explores methods to achieve deterministic randomness, ultimately focusing on using ptrace to intercept and modify system calls to getrandom. The author provides a detailed explanation of how ptrace is used to intercept getrandom calls and modify their behavior, resulting in deterministic random number generation in the Python process. The author also shares resources for further exploration of system call tracing and expresses interest in delving deeper into tracing tools.
- The author encounters challenges with randomness in a Python game prototype
- Attempts to mock random functions but faces difficulties due to a third-party library
- Explores sources of Python's randomness and methods to achieve deterministic randomness
- Focuses on using ptrace to intercept and modify system calls to getrandom
- Provides a detailed explanation of using ptrace to achieve deterministic randomness
- Shares resources for further exploration of system call tracing