Benchmarks for common python I/O patterns

As work happens on I/O pieces I've been building specialized micro-benchmarks (ex. gh-120754 Speed up open().read() pattern by reducing the number of system calls and others have gh-117151: IO performance improvement, increase io.DEFAULT_BUFFER_SIZE to 128k), it would be nice to have more general benchmarks to validate I/O performance for common cases.

Talking a little with people at PyConUS there was some interest in the tests, and a general desire for I/O tests not to be enabled by default, but to be a group which can be manually run.

General I/O shapes I'm hoping to add benchmarks for:

• read/write all of the byes of a file in a single call (including pathlib.Path.read_text, pathlib.Path.write_text)
• read/write many small files (ex. .pyc files, maybe just compile_all?)
• streaming bytes read/write (ex. to a pipe / console such as stdin/stdout/stderr, non-seekable devices)
• read/write a zipfile, tarfile (read + seek, write + seek, in particular buffering behavior)
• use zipimport
• Create a zipapp
• Multi-threaded write to stdout, stderr (ex. logging in a large application/codebase)

Note: With these aiming to stay at the Binary / Bytes IO layer as much as possible (not touch Text I/O for now)

Examinez l’organisation existante des benchmarks de pyperformance et les formes d’I/O proposées dans cette issue, en limitant la portée à la couche Binary/Bytes IO. Définissez un groupe exécutable manuellement couvrant les cas courants sélectionnés, puis vérifiez qu’il n’est pas activé par défaut et que les benchmarks exercent les schémas prévus de fichiers, de flux, d’archives, d’importation ou de concurrence.