fix(Rich): Update remaining imports to use centralized _RICH_AVAILABLE

Fixes import statements in files that were still importing _RICH_AVAILABLE from rich_progress.py instead of the centralized utilities.imports.

Updated files:
- src/lightning/pytorch/callbacks/rich_model_summary.py
- src/lightning/pytorch/loops/evaluation_loop.py
- src/lightning/pytorch/utilities/testing/_runif.py
- tests/tests_pytorch/trainer/logging_/test_eval_loop_logging.py

This completes the centralization of _RICH_AVAILABLE checks.

Author: littlebullGit

src/lightning/pytorch/callbacks/rich_model_summary.py

@@ -16,7 +16,7 @@
 from typing_extensions import override
 
 from lightning.pytorch.callbacks import ModelSummary
-from lightning.pytorch.callbacks.progress.rich_progress import _RICH_AVAILABLE
+from lightning.pytorch.utilities.imports import _RICH_AVAILABLE
 from lightning.pytorch.utilities.model_summary import get_human_readable_count
 
 

src/lightning/pytorch/loops/evaluation_loop.py

@@ -25,7 +25,6 @@
 
 import lightning.pytorch as pl
 from lightning.fabric.utilities.data import _set_sampler_epoch
-from lightning.pytorch.callbacks.progress.rich_progress import _RICH_AVAILABLE
 from lightning.pytorch.loops.fetchers import _DataFetcher, _DataLoaderIterDataFetcher
 from lightning.pytorch.loops.loop import _Loop
 from lightning.pytorch.loops.progress import _BatchProgress
@@ -44,6 +43,7 @@
 from lightning.pytorch.utilities.combined_loader import CombinedLoader
 from lightning.pytorch.utilities.data import has_len_all_ranks
 from lightning.pytorch.utilities.exceptions import SIGTERMException
+from lightning.pytorch.utilities.imports import _RICH_AVAILABLE
 from lightning.pytorch.utilities.model_helpers import _ModuleMode, is_overridden
 from lightning.pytorch.utilities.signature_utils import is_param_in_hook_signature
 

src/lightning/pytorch/utilities/testing/_runif.py

@@ -17,9 +17,8 @@
 
 from lightning.fabric.utilities.testing import _runif_reasons as fabric_run_if
 from lightning.pytorch.accelerators.cpu import _PSUTIL_AVAILABLE
-from lightning.pytorch.callbacks.progress.rich_progress import _RICH_AVAILABLE
 from lightning.pytorch.core.module import _ONNX_AVAILABLE
-from lightning.pytorch.utilities.imports import _OMEGACONF_AVAILABLE
+from lightning.pytorch.utilities.imports import _OMEGACONF_AVAILABLE, _RICH_AVAILABLE
 
 _SKLEARN_AVAILABLE = RequirementCache("scikit-learn")
 

tests/tests_pytorch/trainer/logging_/test_eval_loop_logging.py

@@ -27,12 +27,12 @@
 from torch import Tensor
 
 from lightning.pytorch import Trainer, callbacks
-from lightning.pytorch.callbacks.progress.rich_progress import _RICH_AVAILABLE
 from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset
 from lightning.pytorch.loggers import TensorBoardLogger
 from lightning.pytorch.loops import _EvaluationLoop
 from lightning.pytorch.trainer.states import RunningStage
 from lightning.pytorch.utilities.exceptions import MisconfigurationException
+from lightning.pytorch.utilities.imports import _RICH_AVAILABLE
 from tests_pytorch.helpers.runif import RunIf
 
 if _RICH_AVAILABLE:
@@ -534,7 +534,7 @@ def test_step(self, batch, batch_idx):
         max_epochs=2,
     )
 
-    # Train the model ⚡
+    # Train the model
     trainer.fit(model)
 
     assert set(trainer.callback_metrics) == {