`tensorflow_text` lacks a Python 3.13 package

[IvyZX]

Python 3.13 has been out for a while, and tensorflow already started to support it months ago, since 2.20.0. But tensorflow_text PyPI package is still 2.19.0.

Can we have a new release that is compatible with 3.13? This will allow dependent packages like Flax to upgrade to Python 3.13.

[khteh]

3.13 when?

$ pipenv install tensorflow-text
To activate this project's virtualenv, run pipenv shell.
Alternatively, run a command inside the virtualenv with pipenv run.
Installing tensorflow-text...
✔ Installation Succeeded
To activate this project's virtualenv, run pipenv shell.
Alternatively, run a command inside the virtualenv with pipenv run.
Installing dependencies from Pipfile.lock (fb5a78)...
All dependencies are now up-to-date!
Upgrading tensorflow-text in  dependencies.
Building requirements...
Resolving dependencies...
✘ Locking Failed!
⠦ Locking packages...CRITICAL:pipenv.patched.pip._internal.resolution.resolvelib.factory:Could not find a version that satisfies the requirement tensorflow-text (from versions: none)
[ResolutionFailure]:   File "/home/khteh/.local/lib/python3.13/site-packages/pipenv/resolver.py", line 451, in main
[ResolutionFailure]:       _main(
[ResolutionFailure]:       ~~~~~^
[ResolutionFailure]:       parsed.pre,
[ResolutionFailure]:       ^^^^^^^^^^^
[ResolutionFailure]:       ...<7 lines>...
[ResolutionFailure]:       category=parsed.category,
[ResolutionFailure]:       ^^^^^^^^^^^^^^^^^^^^^^^^^
[ResolutionFailure]:       )
[ResolutionFailure]:       ^
[ResolutionFailure]:   File "/home/khteh/.local/lib/python3.13/site-packages/pipenv/resolver.py", line 436, in _main
[ResolutionFailure]:       resolve_packages(
[ResolutionFailure]:       ~~~~~~~~~~~~~~~~^
[ResolutionFailure]:       pre, clear, verbose, system, write, requirements_dir, packages, category
[ResolutionFailure]:       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[ResolutionFailure]:       )
[ResolutionFailure]:       ^
[ResolutionFailure]:   File "/home/khteh/.local/lib/python3.13/site-packages/pipenv/resolver.py", line 400, in resolve_packages
[ResolutionFailure]:       results, resolver = resolve_deps(
[ResolutionFailure]:       ~~~~~~~~~~~~^
[ResolutionFailure]:       packages,
[ResolutionFailure]:       ^^^^^^^^^
[ResolutionFailure]:       ...<7 lines>...
[ResolutionFailure]:       req_dir=requirements_dir,
[ResolutionFailure]:       ^^^^^^^^^^^^^^^^^^^^^^^^^
[ResolutionFailure]:       )
[ResolutionFailure]:       ^
[ResolutionFailure]:   File "/home/khteh/.local/lib/python3.13/site-packages/pipenv/utils/resolver.py", line 1083, in resolve_deps
[ResolutionFailure]:       results, hashes, internal_resolver = actually_resolve_deps(
[ResolutionFailure]:       ~~~~~~~~~~~~~~~~~~~~~^
[ResolutionFailure]:       deps,
[ResolutionFailure]:       ^^^^^
[ResolutionFailure]:       ...<7 lines>...
[ResolutionFailure]:       req_dir=req_dir,
[ResolutionFailure]:       ^^^^^^^^^^^^^^^^
[ResolutionFailure]:       )
[ResolutionFailure]:       ^
[ResolutionFailure]:   File "/home/khteh/.local/lib/python3.13/site-packages/pipenv/utils/resolver.py", line 811, in actually_resolve_deps
[ResolutionFailure]:       resolver.resolve()
[ResolutionFailure]:       ~~~~~~~~~~~~~~~~^^
[ResolutionFailure]:   File "/home/khteh/.local/lib/python3.13/site-packages/pipenv/utils/resolver.py", line 471, in resolve
[ResolutionFailure]:       raise ResolutionFailure(message=e)
Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
You can use $ pipenv run pip install <requirement_name> to bypass this mechanism, then run $ pipenv graph to inspect the versions actually installed in the virtualenv.
Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: No matching distribution found for tensorflow-text

Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
You can use $ pipenv run pip install <requirement_name> to bypass this mechanism, then run $ pipenv graph to inspect the versions actually installed in the virtualenv.
Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: Failed to lock Pipfile.lock!

[khteh]

Hello, anybody working on Python 3.13 support?