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)

Xem xét cách tổ chức hiện có của các benchmark pyperformance và các dạng I/O được đề xuất trong issue này, giữ phạm vi ở tầng Binary/Bytes IO. Xác định một nhóm có thể chạy thủ công, bao phủ các trường hợp phổ biến đã chọn, sau đó xác minh rằng nhóm này không được bật theo mặc định và rằng các benchmark thực thi đúng các mẫu về tệp, stream, archive, import hoặc concurrency đã định.