Format Python code with psf/black push (#374)

There appear to be some python formatting errors in
380fbb3. This pull request
uses the [psf/black](https://github.com/psf/black) formatter to fix
these issues.

dacapo/apply.py

@@ -121,7 +121,9 @@ def apply(
             raise ValueError(
                 "validation_dataset must be a dataset name or a Dataset object, or parameters must be provided explicitly."
             )
-        logger.info(f"Finding best parameters for validation dataset {_validation_dataset}")
+        logger.info(
+            f"Finding best parameters for validation dataset {_validation_dataset}"
+        )
         parameters = run.task.evaluator.get_overall_best_parameters(
             _validation_dataset, criterion
         )

dacapo/experiments/datasplits/datasplit.py

@@ -9,6 +9,7 @@
 
 logger = logging.getLogger(__name__)
 
+
 class DataSplit(ABC):
     """
     A class for creating a simple train dataset and no validation dataset. It is derived from `DataSplit` class.

dacapo/experiments/trainers/gp_augments/__init__.py

@@ -4,4 +4,4 @@
 from .gamma_config import GammaAugmentConfig
 from .intensity_config import IntensityAugmentConfig
 from .intensity_scale_shift_config import IntensityScaleShiftAugmentConfig
-from .noise_config import NoiseAugmentConfig
+from .noise_config import NoiseAugmentConfig

dacapo/experiments/trainers/gunpowder_trainer_config.py

@@ -366,7 +366,6 @@ def load_batch(event):
         input("Enter to quit!")
 
 
-
 # ## Example
 # config = GunpowderTrainerConfig(name="gunpowder")
 

dacapo/train.py

@@ -111,7 +111,10 @@ def train_run(run: RunConfig, validate: bool = True, save_snapshots: bool = Fals
             # purposes so you get snapshots quickly.
             run.save_snapshot(i, batch, batch_out, snapshot_container)
 
-        if i % run.validation_interval == run.validation_interval - 1 or i == run.num_iterations - 1:
+        if (
+            i % run.validation_interval == run.validation_interval - 1
+            or i == run.num_iterations - 1
+        ):
             # run "end of epoch steps" such as stepping the learning rate
             # scheduler, storing stats, and writing out weights.
             try:

dacapo/validate.py

@@ -111,9 +111,9 @@ def validate_run(
         ]
 
     for validation_dataset in datasets:
-        assert validation_dataset.gt is not None, (
-            "We do not yet support validating on datasets without ground truth"
-        )
+        assert (
+            validation_dataset.gt is not None
+        ), "We do not yet support validating on datasets without ground truth"
         logger.info(
             "Validating run %s on dataset %s", run.name, validation_dataset.name
         )

tests/fixtures/trainers.py

@@ -5,9 +5,7 @@
 
 @pytest.fixture()
 def dummy_trainer():
-    yield DummyTrainerConfig(
-        name="dummy_trainer", dummy_attr=True
-    )
+    yield DummyTrainerConfig(name="dummy_trainer", dummy_attr=True)
 
 
 @pytest.fixture()