chore: black reformatting

tests/unit/layer/volumetric/cloudvol/test_backend.py

@@ -195,8 +195,8 @@ def test_cv_backend_write_scalar(clear_caches_reset_mocks, mocker):
 
 
 def test_cv_backend_read_uint63(clear_caches_reset_mocks, mocker):
-    data_read = np.array([[[[2**63 - 1]]]], dtype=np.uint64)
-    expected = np.array([[[[2**63 - 1]]]], dtype=np.int64)
+    data_read = np.array([[[[2 ** 63 - 1]]]], dtype=np.uint64)
+    expected = np.array([[[[2 ** 63 - 1]]]], dtype=np.int64)
     cv_m = mocker.MagicMock()
     cv_m.__getitem__ = mocker.MagicMock(return_value=data_read)
     mocker.patch("cloudvolume.CloudVolume.__new__", return_value=cv_m)
@@ -222,8 +222,8 @@ def test_cv_backend_write_scalar_uint63(clear_caches_reset_mocks, mocker):
     cv_m.dtype = "uint64"
     mocker.patch("cloudvolume.CloudVolume.__new__", return_value=cv_m)
     cvb = CVBackend(path=LAYER_SCRATCH0_PATH, info_spec=info_spec, on_info_exists="overwrite")
-    value = np.array([2**63 - 1], dtype=np.int64)
-    expected_written = np.uint64(2**63 - 1)
+    value = np.array([2 ** 63 - 1], dtype=np.int64)
+    expected_written = np.uint64(2 ** 63 - 1)
 
     index = VolumetricIndex(
         bbox=BBox3D.from_slices((slice(0, 1), slice(0, 1), slice(0, 1))),

tests/unit/tensor_ops/test_generators.py

@@ -251,7 +251,6 @@ def test_get_field_from_matrix_exceptions(mat, size):
                 [[[[nan, nan], [0.0, nan]], [[nan, nan], [-1.0, nan]]]], dtype=torch.float32
             ),
         ],
-
         # Two vectors, same target pixel -- should average
         [
             [
@@ -267,7 +266,6 @@ def test_get_field_from_matrix_exceptions(mat, size):
                 [[[[0.0, nan], [nan, nan]], [[0.0, nan], [nan, nan]]]], dtype=torch.float32
             ),
         ],
-
         # Annotation outside ROI
         [
             [

zetta_utils/geometry/bbox_strider.py

@@ -83,9 +83,9 @@ def __attrs_post_init__(self) -> None:
             object.__setattr__(self, "stride", superchunk_size)
             object.__setattr__(self, "mode", "exact")
             object.__setattr__(self, "max_superchunk_size", None)
-            object.__setattr__(self,
-                               "stride_start_offset",
-                               self.bbox_snapped.start / self.resolution)
+            object.__setattr__(
+                self, "stride_start_offset", self.bbox_snapped.start / self.resolution
+            )
             object.__setattr__(self, "stride_start_offset_in_unit", self.bbox_snapped.start)
             self.__attrs_post_init__()
 

zetta_utils/layer/volumetric/cloudvol/backend.py

@@ -21,7 +21,7 @@
 _cv_cache: cachetools.LRUCache = cachetools.LRUCache(maxsize=16)
 _cv_cached: Dict[str, set] = {}
 
-IN_MEM_CACHE_NUM_BYTES_PER_CV = 128 * 1024**2
+IN_MEM_CACHE_NUM_BYTES_PER_CV = 128 * 1024 ** 2
 
 # To avoid reloading info file - note that an empty provenance is passed
 # since otherwise the CloudVolume's __new__ will download the provenance