DeprecationWarning with NumPy>=1.25 (NumPy 2.x): array-to-scalar conversion in boiling_flow.py

[burakatakan]

Environment:

• ht: 1.2.0
• numpy: 2.2.6
• scipy: 1.15.3
• Python: 3.12.10
• OS: Windows 10/11

When running code that triggers boiling flow correlations, ht emits repeated warnings:

DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated,
and will error in future. Ensure you extract a single element from your array before
performing this operation. (Deprecated NumPy 1.25.)

Location:
ht/boiling_flow.py:841

Example warning line:
S = (1 - exp(-FhlX0/kl))/(FhlX0/kl)

This happens many times in a simulation / test suite (thousands of warnings).
It would be great if ht could avoid passing ndarray objects into scalar math functions
or explicitly convert 0-d arrays via .item() / float(np.asarray(x).squeeze()).

[CalebBell]

Hello,
This sounds like a problem you can fix in your own code. Convert inputs into scalars before passing them into ht's functions, which are documented to accept scalars. Or, if you are passing in an array - use https://ht.readthedocs.io/en/release/ht.vectorized.html to handle them and get an array returned.
The warning in NumPy are there to alert users they may have a bug in their program. The library won't pass ndarray objects into scalar math functions if you don't give them. If you had e.g. mypy setup, it would give you a type error.

[burakatakan]

Thanks, I will check this again!