fix: replace deprecated pkg_resources

[desaxce]

Motivation for features / changes

Fixes #7003
When I run tensorboard, I get the deprecation warning, which I don't want:

.venv/lib/python3.12/site-packages/tensorboard/default.py:30: U
serWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pk
g_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refr
ain from using this package or pin to Setuptools<81.
  import pkg_resources

Technical description of changes

I replaced all occurrences of pkg_resources by importlib or packaging.version.

Screenshots of UI changes (or N/A)

==> not applicable

Detailed steps to verify changes work correctly (as executed by you)

On both master and replace_pkg_resources branches, I ran bazel run //tensorboard -- --logdir runs with outputs:

Output on master:

(tf) [precision tensorboard] (master)$ bazel run //tensorboard -- --logdir runs
WARNING: Download from https://mirror.bazel.build/repo1.maven.org/maven2/com/google/guava/guava/32.1.1-jre/guava-32.1.1-jre.jar failed: class java.io.FileNotFoundException GET returned 404 Not Found
WARNING: Download from https://mirror.bazel.build/repo1.maven.org/maven2/com/google/errorprone/error_prone_annotations/2.23.0/error_prone_annotations-2.23.0.jar failed: class java.io.FileNotFoundException GET returned 404 Not Found
WARNING: Download from https://mirror.bazel.build/repo1.maven.org/maven2/com/google/guava/failureaccess/1.0.1/failureaccess-1.0.1.jar failed: class java.io.FileNotFoundException GET returned 404 Not Found
INFO: Analyzed target //tensorboard:tensorboard (0 packages loaded, 0 targets configured).
INFO: Found 1 target...
Target //tensorboard:tensorboard up-to-date:
  bazel-bin/tensorboard/tensorboard
INFO: Elapsed time: 0.234s, Critical Path: 0.00s
INFO: 1 process: 1 internal.
INFO: Build completed successfully, 1 total action
INFO: Running command line: bazel-bin/tensorboard/tensorboard --logdir runs
/home/precision/.cache/bazel/_bazel_precision/cad60362e6aad31575bd1c7909bd969b/execroot/org_tensorflow_tensorboard/bazel-out/k8-fastbuild/bin/tensorboard/tensorboard.runfiles/org_tensorflow_tensorboard/tensorboard/default.py:30: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  import pkg_resources
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1763289588.190337  871824 port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
I0000 00:00:1763289588.190679  871824 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
I0000 00:00:1763289588.222931  871824 cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
TensorFlow installation not found - running with reduced feature set.
E0000 00:00:1763289588.872919  871824 cuda_executor.cc:1695] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1763289588.898912  871824 cuda_executor.cc:1802] GPU interconnect information not available: INTERNAL: NVML doesn't support extracting fabric info or NVLink is not used by the device.
W0000 00:00:1763289588.904227  871824 gpu_device.cc:2362] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...

NOTE: Using experimental fast data loading logic. To disable, pass
    "--load_fast=false" and report issues on GitHub. More details:
    https://github.com/tensorflow/tensorboard/issues/4784

Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all
TensorBoard 2.21.0a0 at http://localhost:6007/ (Press CTRL+C to quit)

Output on replace_pkg_resources (no pkg_resources warning):

(tf) [precision tensorboard] (replace_pkg_resources)$ bazel run //tensorboard -- --logdir runsWARNING: Download from https://mirror.bazel.build/repo1.maven.org/maven2/com/google/guava/guava/32.1.1-jre/guava-32.1.1-jre.jar failed: class java.io.FileNotFoundException GET returned 404 Not Found
WARNING: Download from https://mirror.bazel.build/repo1.maven.org/maven2/com/google/errorprone/error_prone_annotations/2.23.0/error_prone_annotations-2.23.0.jar failed: class java.io.FileNotFoundException GET returned 404 Not Found
WARNING: Download from https://mirror.bazel.build/repo1.maven.org/maven2/com/google/guava/failureaccess/1.0.1/failureaccess-1.0.1.jar failed: class java.io.FileNotFoundException GET returned 404 Not Found
INFO: Analyzed target //tensorboard:tensorboard (2 packages loaded, 1744 targets configured).
INFO: Found 1 target...
Target //tensorboard:tensorboard up-to-date:
  bazel-bin/tensorboard/tensorboard
INFO: Elapsed time: 2.550s, Critical Path: 0.13s
INFO: 1 process: 1 internal.
INFO: Build completed successfully, 1 total action
INFO: Running command line: bazel-bin/tensorboard/tensorboard --logdir runs
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1763289626.381133  872688 port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
I0000 00:00:1763289626.381500  872688 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
I0000 00:00:1763289626.414343  872688 cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
TensorFlow installation not found - running with reduced feature set.
E0000 00:00:1763289627.080864  872688 cuda_executor.cc:1695] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1763289627.108661  872688 cuda_executor.cc:1802] GPU interconnect information not available: INTERNAL: NVML doesn't support extracting fabric info or NVLink is not used by the device.
W0000 00:00:1763289627.112731  872688 gpu_device.cc:2362] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...

NOTE: Using experimental fast data loading logic. To disable, pass
    "--load_fast=false" and report issues on GitHub. More details:
    https://github.com/tensorflow/tensorboard/issues/4784

Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all
TensorBoard 2.21.0a0 at http://localhost:6007/ (Press CTRL+C to quit)

Alternate designs / implementations considered (or N/A)

--> not applicable

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[arcra]

Thank you @desaxce ! Sorry for the delay. I will look into this next week!