feature: handle Numpy type deprecation & backwards compatibility

[ns-rse]

Closes #7

Detects Numpy version on the fly and sets the types for float and complex conditional on whether np.__version__ < "2.0.0".

Includes a warning advising users to consider updating them if using an old version of Numpy.

No idea if this is a sensible way of approaching such issues so happy to be advised/guided on better ways of handling such issues.

[hmallen]

Really appreciate the compatibility update. Looks great.

Quick suggestion: For comparing version numbers, you can use the packaging library’s parse_version function instead of just comparing strings. It handles weird cases like pre-releases (for example, "2.0.0rc1") better. For example:

from packaging.version import parse as parse_version

if parse_version(np.__version__) < parse_version("2.0.0"):
    # old types
else:
    # new types

Totally up to you if you want to add it here. I'm happy to merge and make a follow-up change.

Thanks again!

[ns-rse]

Adding suggested parse_version() option.

[ns-rse]

For comparing version numbers, you can use the packaging library’s parse_version function instead of just comparing strings. It handles weird cases like pre-releases (for example, "2.0.0rc1") better.

Thanks @hmallen I wasn't even aware of that library/function but it makes total sense as I hadn't thought about release candidate versions and how they would be handled.

(Lazily) I've committed the suggestions via the PR.

[hmallen]

For comparing version numbers, you can use the packaging library’s parse_version function instead of just comparing strings. It handles weird cases like pre-releases (for example, "2.0.0rc1") better.

Thanks @hmallen I wasn't even aware of that library/function but it makes total sense as I hadn't thought about release candidate versions and how they would be handled.

(Lazily) I've committed the suggestions via the PR.

Thanks a lot for the help! Will merge the changes.

[ns-rse]

Hi @hmallen

Is there anything else I need to do on this?

@ns-rse

[hmallen]

Hi @hmallen

Is there anything else I need to do on this?

@ns-rse

Sorry for the delay. Think you could add packaging to the install_requires? I think that's all we're missing on this one. I'll have it merged asap.

[ns-rse]

Sorry for missing this, I see it was merged and you've subsequently addressed the required install and migrated to pyproject.toml for configuration too, great work 👍

[hmallen]

Sorry for missing this, I see it was merged and you've subsequently addressed the required install and migrated to pyproject.toml for configuration too, great work 👍

No worries, thanks again for your help along the way.