Update TODOs [ci skip]

TODOs

@@ -20,11 +20,9 @@ coscine_watchdog/coscine_client.py:185:    # TODO use update file rath then uplo
 coscine_watchdog/coscine_client.py:220:        ("datatype", "Datatype is missing"),  # , # TODO
 coscine_watchdog/coscine_client.py:221:        # ('dataset_type', 'Dataset type is missing') # TODO
 docs/index.rst:4:.. TODO change to two (or more) main pages + metadata. one on data generation one on ai. 
-dynamics_learning/dynamics_learning/testing/__init__.py:144:        )  # FIXME this is not returning the most recent file
-dynamics_learning/dynamics_learning/testing/__init__.py:185:            if ROBOT_UUID:  # FIXME
-dynamics_learning/dynamics_learning/testing/__init__.py:283:        # somewhere FIXME: FFT zeigt nur nn und rtb data nicht gemessen
-dynamics_learning/dynamics_learning/testing/__init__.py:284:        # somewhere FIXME: nn hat keine daten
-dynamics_learning/dynamics_learning/testing/__init__.py:445:                axs[joint_number // num_col, joint_number % num_col].scatter(  # FIXME
+dynamics_learning/dynamics_learning/testing/__init__.py:180:            if ROBOT_UUID:  # FIXME
+dynamics_learning/dynamics_learning/testing/__init__.py:275:        # somewhere FIXME: FFT zeigt nur nn und rtb data nicht gemessen
+dynamics_learning/dynamics_learning/testing/__init__.py:276:        # somewhere FIXME: nn hat keine daten
 dynamics_learning/dynamics_learning/training/__init__.py:169:    )  # TODO implement another naming schema, as soon as a custom application profiles for the models is available in coscine.
 dynamics_learning/dynamics_learning/training/__init__.py:175:        f"{decision_metric}_val_loss"  # TODO implement custom coscine application profile for the models
 dynamics_learning/foundation_model.py:75:            test_dataset.download()  # FIXME