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tensorflow
`tensorflow_text` lacks a Python 3.13 package
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.
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!
