remove noqa, make format

Author: rbavery

stac_model/examples.py

@@ -70,7 +70,7 @@ def eurosat_resnet() -> ItemMLModelExtension:
                 type="z-score",
                 mean=mean,
                 stddev=stddev,
-            )
+            ),
         )
         for mean, stddev in zip(stats_mean, stats_stddev, strict=False)
     ]

stac_model/input.py

@@ -18,6 +18,7 @@ def validate_dimensions(self) -> Self:
             raise ValueError("Dimension order and shape must be of equal length for corresponding indices.")
         return self
 
+
 class ValueScalingClipMin(MLMBaseModel):
     type: Literal["clip-min"] = "clip-min"
     minimum: Number
@@ -71,7 +72,7 @@ class ValueScalingProcessingExpression(ProcessingExpression):
         ValueScalingScale,
         ValueScalingProcessingExpression,
     ]
-  ]  # noqa: E501
+]
 
 ResizeType: TypeAlias = (
     Literal[
@@ -87,7 +88,7 @@ class ValueScalingProcessingExpression(ProcessingExpression):
         "wrap-inverse-map",
     ]
     | None
-)  # noqa: E501
+)
 
 
 class ModelBand(MLMBaseModel):

tests/test_schema.py

@@ -122,10 +122,13 @@ def test_mlm_no_input_allowed_but_explicit_empty_array_required(
         ([{"type": "z-score", "mean": 1, "stddev": 2, "minimum": 1, "maximum": 2}], True),  # extra must be ignored
         ([{"type": "processing"}], False),
         ([{"type": "processing", "format": "test", "expression": "test"}], True),
-        ([
-             {"type": "processing", "format": "test", "expression": "test"},
-             {"type": "min-max", "minimum": 1, "maximum": 2}
-         ], True),
+        (
+            [
+                {"type": "processing", "format": "test", "expression": "test"},
+                {"type": "min-max", "minimum": 1, "maximum": 2},
+            ],
+            True,
+        ),
     ],
 )
 def test_mlm_input_scaling_combination(