Unicode codepoint flags for custom regexs

[jaime-m-p]

Use flags for each unicode category (\p{N}, \p{L}, \p{Z}, ...) instead of definitions CODEPOINT_TYPE_*.

Including helper flags for common regex params like \s (only this for now), \d, \w...

This simplifies writing custom regexs.

All flags are precomputed in unicode-data.cpp generated by gen-unicode-data.py.

[github-actions]

📈 llama.cpp server for bench-server-baseline on Standard_NC4as_T4_v3 for phi-2-q4_0: 568 iterations 🚀

Expand details for performance related PR only

• Concurrent users: 8, duration: 10m
• HTTP request : avg=8218.58ms p(95)=19284.72ms fails=, finish reason: stop=510 truncated=58
• Prompt processing (pp): avg=98.81tk/s p(95)=467.94tk/s
• Token generation (tg): avg=34.6tk/s p(95)=46.94tk/s
• ggml-org/models/phi-2/ggml-model-q4_0.gguf parallel=8 ctx-size=16384 ngl=33 batch-size=2048 ubatch-size=256 pp=1024 pp+tg=2048 branch=codepoint-flags commit=2642da0ca8883994d20a73bebcd80f6f59b06c69

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[ggerganov]

Looks like the tokenizer tests are failing on Windows for some reason:

https://github.com/ggerganov/llama.cpp/actions/runs/9096294810/job/25001393493?pr=7245#step:12:2583

[jaime-m-p]

Looks like the tokenizer tests are failing on Windows for some reason:

https://github.com/ggerganov/llama.cpp/actions/runs/9096294810/job/25001393493?pr=7245#step:12:2583

I can not debug this in local, it is possible to skip all but the failing test?

I have reviewed the previous logs but that test was not executed, so I think i'm going to start from a clean point and redo all commits until I see the fail.

Also I found that compiling tests with BUILD_SHARED_LIBS ON fails with missing pthread_create, I will check later, but seems -pthread flag or -lpthread lib.

[jaime-m-p]

The problem is the stack size limit in Windows.

According to MSVC \STACK documentation:
For ARM64, x86, and x64 machines, the default stack size is 1 MB.

sizeof( std::array<codepoint_flags, MAX_CODEPOINTS> ) ~ 2MB.

[jaime-m-p]

I think I'm done here.

Now I have the base to fix tokenizers.
Brute force test found fail cases while testing more models (even llama-3 custom regex is failing).