task: module CLI patching methods

[jharlow-intel]

adds python -m mkl_fft patch install/uninstall/status methods, and also python -m mkl_fft with_patch
Convenience CLI functions that will make it way easier to let users have automagic mkl_fft optimizations in their workflows, such as if they want to run npbench suites but with mkl_fft optimizations.

Tested locally pretty exhaustively, everything worked pretty well. A lot of documentation is claude code and it was way too verbose. I deleted and edited a lot of it, but please take a look at it all and make sure it's correct.

If this gets merged, I'll do the same for mkl_random and mkl_umath

[Copilot]

Pull request overview

Adds a user-facing CLI for enabling/disabling mkl_fft’s NumPy FFT patch, aiming to support both persistent patching (python -m mkl_fft patch ...) and one-shot execution (python -m mkl_fft with_patch ...) alongside updated README guidance.

Changes:

• Introduces python -m mkl_fft patch install|uninstall|status for persistent patch management via a .pth file.
• Introduces python -m mkl_fft with_patch <command> ... intended to run a single command with temporary patching.
• Adds README documentation and unit tests for the persistent patch helper functions.

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 11 comments.

Show a summary per file

File	Description
README.md	Documents persistent patching, one-shot execution, and programmatic patch APIs.
mkl_fft/main.py	Adds python -m mkl_fft ... dispatcher for patch and with_patch subcommands.
mkl_fft/patch.py	Implements persistent patch install/uninstall/status via writing/removing a .pth file.
mkl_fft/with_patch.py	Implements “one-shot” patch execution by spawning a subprocess with modified environment.
mkl_fft/tests/test_cli.py	Adds tests for install_patch, uninstall_patch, and check_status using a mocked .pth path.