bug: numpy-1.26.4 rather old compared to 2.1.3

[mrfragger]

Description

very much appreciate this package as Japanese, Chinese have tokenizers but Thai was always lagging behind but seems like problem is pretty much solved unlike Khmer.

Installing collected packages: python-crfsuite, pythainlp, numpy, fire, ssg, nptyping, attacut
Attempting uninstall: numpy
Found existing installation: numpy 2.1.3
Uninstalling numpy-2.1.3:
Successfully uninstalled numpy-2.1.3

Successfully installed attacut-1.0.6 fire-0.7.1 nptyping-2.5.0 numpy-1.26.4 pythainlp-5.3.4 python-crfsuite-0.9.12 ssg-0.0.8

perhaps this all gets solved in 6.0 version so just bear with it. I only need to do tokenization on Thai.
THAI_THRESHOLDS = {6: 400, 5: 320, 4: 260, 3: 200, 2: 130}

Expected results

doesn't depend on such an older version

Current results

installs much older version of numpy

Steps to reproduce

pip3 install pythainlp[attacut]

PyThaiNLP version

5.3.4

Python version

Python 3.13.1

Operating system and version

mac 15.7.3

More info

No response

Possible solution

No response

Files

No response

[github-actions]

Hello @mrfragger, thank you for your interest in our work!

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

สวัสดี @mrfragger ขอบคุณที่สนใจงานของเรา

ถ้านี่เป็นรายงานข้อผิดพลาด กรุณาแนบภาพหน้าจอ ข้อความแสดงข้อผิดพลาด และ โค้ดที่สั้นที่สุดเท่าที่จะทำให้เกิดปัญหา เพื่อที่เราจะสามารถช่วยเหลือได้

[wannaphong]

@mrfragger Hello! Thank you for using the PyThaiNLP Project! I saw you use attacut. I think you can use LEKCut to run the attacut model for Thai tokenization.

We will fix dependencies issues like #1372 in 6.0.