Runtime exception when running leetscrape without any parameter

[gonciarz]

Tested on ArchLinux (virtual env) and inside docker container:

python -m venv .
source bin/activate
pip install leetscrape
leetscrape

cat Dockerfile 
FROM python:3
RUN pip install leetscrape # --no-cache-dir -r requirements.txt

docker build . -t test --no-cache
docker run test leetscrape

Traceback (most recent call last):
  File "/usr/local/bin/leetscrape", line 5, in <module>
    from leetscrape.scripts import leetscrape
  File "/usr/local/lib/python3.12/site-packages/leetscrape/__init__.py", line 2, in <module>
    from .generate_code_stub import GenerateCodeStub
  File "/usr/local/lib/python3.12/site-packages/leetscrape/generate_code_stub.py", line 9, in <module>
    from .question import GetQuestion
  File "/usr/local/lib/python3.12/site-packages/leetscrape/question.py", line 5, in <module>
    import pandas as pd
  File "/usr/local/lib/python3.12/site-packages/pandas/__init__.py", line 22, in <module>
    from pandas.compat import is_numpy_dev as _is_numpy_dev  # pyright: ignore # noqa:F401
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/pandas/compat/__init__.py", line 18, in <module>
    from pandas.compat.numpy import (
  File "/usr/local/lib/python3.12/site-packages/pandas/compat/numpy/__init__.py", line 4, in <module>
    from pandas.util.version import Version
  File "/usr/local/lib/python3.12/site-packages/pandas/util/__init__.py", line 2, in <module>
    from pandas.util._decorators import (  # noqa:F401
  File "/usr/local/lib/python3.12/site-packages/pandas/util/_decorators.py", line 14, in <module>
    from pandas._libs.properties import cache_readonly
  File "/usr/local/lib/python3.12/site-packages/pandas/_libs/__init__.py", line 13, in <module>
    from pandas._libs.interval import Interval
  File "pandas/_libs/interval.pyx", line 1, in init pandas._libs.interval
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

[nikhil-ravi]

Will have time over the weekend to look into this, but my guess is that you need to downgrade your numpy. Check out this question on Stackoverflow.