[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

ome_zarr/image.py

@@ -136,7 +136,9 @@ class NgffMultiscales:
     """
 
     image: InitVar[NgffImage]
-    scale_factors: list[int] | list[dict[str, int]] = field(default_factory=lambda: [2, 4, 8, 16])
+    scale_factors: list[int] | list[dict[str, int]] = field(
+        default_factory=lambda: [2, 4, 8, 16]
+    )
     method: str | Methods = Methods.RESIZE
     coordinateTransformations: InitVar[list[Scale | Translation | Identity] | None] = (
         None
@@ -266,7 +268,7 @@ def to_ome_zarr(
         -------
         list
             If `compute` is False, returns a list of Dask delayed objects
-            representing the write operations. 
+            representing the write operations.
         """
         import os
         import shutil
@@ -361,7 +363,7 @@ def to_ome_zarr(
 
         else:
             raise ValueError(f"Unsupported OME-Zarr version: {version}")
-        
+
         return delayed
 
     @classmethod

ome_zarr/writer.py

@@ -520,7 +520,7 @@ def write_image(
     axes: AxesType = None,
     coordinate_transformations: list[list[dict[str, Any]]] | None = None,
     storage_options: JSONDict | list[JSONDict] | None = None,
-    compute: bool = True
+    compute: bool = True,
 ) -> list:
     """
     Write an image to the zarr store according to the OME-Zarr specification, supporting multiscale pyramids.
@@ -609,8 +609,8 @@ def write_image(
 
     # default settings for scale
     if scale is None:
-        scale = {d: 1.0 for d in dims}
-    
+        scale = dict.fromkeys(dims, 1.0)
+
     # make sure every axis is present and order of dims is correct
     scale = {d: scale.get(d, 1.0) for d in dims}
 
@@ -651,11 +651,7 @@ def write_image(
         method = Methods.RESIZE
 
     ngff_image = NgffImage(
-        data=image,
-        scale=scale,
-        dims=dims,
-        name=name,
-        axes_units=axes_units
+        data=image, scale=scale, dims=dims, name=name, axes_units=axes_units
     )
     ngff_multiscales = NgffMultiscales(
         image=ngff_image,
@@ -978,7 +974,7 @@ def write_labels(
     group: zarr.Group | str,
     name: str,
     scaler: Scaler | None = Scaler(order=0),
-    scale_factors: list[int] |  list[dict[str, int]] = [2, 4, 8, 16],
+    scale_factors: list[int] | list[dict[str, int]] = [2, 4, 8, 16],
     method: Methods = Methods.NEAREST,
     fmt: Format | None = None,
     axes: AxesType = None,