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

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

Author: pre-commit-ci[bot]

src/snapred/backend/recipe/PixelDiffCalRecipe.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, List, Optional, Set
+from typing import Any, Dict, List, Set
 
 import numpy as np
 from pydantic import BaseModel, ConfigDict
@@ -10,7 +10,8 @@
 from snapred.backend.recipe.Recipe import Recipe
 from snapred.meta.Config import Config
 from snapred.meta.decorators.classproperty import classproperty
-from snapred.meta.mantid.WorkspaceNameGenerator import WorkspaceName, WorkspaceNameGenerator as wng
+from snapred.meta.mantid.WorkspaceNameGenerator import WorkspaceName
+from snapred.meta.mantid.WorkspaceNameGenerator import WorkspaceNameGenerator as wng
 
 logger = snapredLogger.getLogger(__name__)
 
@@ -21,7 +22,7 @@ class PixelDiffCalServing(BaseModel):
     maskWorkspace: WorkspaceName | None = None
     calibrationTable: str
     outputWorkspace: str
-    
+
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
 

src/snapred/backend/recipe/algorithm/FitMultiplePeaksAlgorithm.py

@@ -78,11 +78,12 @@ def PyExec(self):
         )
         self.chopIngredients(reducedPeakList)
         self.unbagGroceries()
-        
+
         numHisto = self.mantidSnapper.mtd[self.inputWorkspaceName].getNumberHistograms()
         if numHisto < len(self.groupIDs):
-            raise ValueError(f"Number of histograms and number of GroupPeakLists do not match: {numHisto} vs {len(self.groupIDs)}")
-        
+            raise ValueError(
+                f"Number of histograms and number of GroupPeakLists do not match: {numHisto} vs {len(self.groupIDs)}"
+            )
 
         for index, groupID in enumerate(self.groupIDs):
             spectrumInfo = self.mantidSnapper.mtd[self.inputWorkspaceName].spectrumInfo()
@@ -91,7 +92,7 @@ def PyExec(self):
                 raise ValueError(
                     f"Spectrum with NO DETECTORS encountered on {self.inputWorkspaceName} at index {index}"
                 )
-                
+
             tmpSpecName = mtd.unique_name(prefix=f"__tmp_fitspec_{index}_")
             outputNameTmp = mtd.unique_name(prefix=f"__tmp_fitdiag_{index}_")
             outputNamesTmp = {x: f"{outputNameTmp}{self.outputSuffix[x]}_{index}" for x in FitOutputEnum}

src/snapred/backend/service/SousChef.py

@@ -337,8 +337,8 @@ def prepDiffractionCalibrationIngredients(
         self, ingredients: FarmFreshIngredients, combinedPixelMask: Optional[WorkspaceName] = None
     ) -> DiffractionCalibrationIngredients:
         self.verifyCalibrationExists(ingredients.runNumber, ingredients.useLiteMode)
-        pixelGroup=self.prepPixelGroup(ingredients, pixelMask=combinedPixelMask)
-        groupedPeakLists=self.prepDetectorPeaks(ingredients, pixelMask=combinedPixelMask)
+        pixelGroup = self.prepPixelGroup(ingredients, pixelMask=combinedPixelMask)
+        groupedPeakLists = self.prepDetectorPeaks(ingredients, pixelMask=combinedPixelMask)
         return DiffractionCalibrationIngredients(
             runConfig=self.prepRunConfig(ingredients.runNumber),
             pixelGroup=pixelGroup,

src/snapred/ui/workflow/DiffCalWorkflow.py

@@ -540,7 +540,9 @@ def _renewFocus(self, groupingIndex):
         return response
 
     def _renewFitPeaks(self, peakFunction):
-        logger.info(f"there are {len(self.ingredients.pixelGroup.groupIDs)} groups, and {len(self.ingredients.groupedPeakLists)} peak lists")
+        logger.info(
+            f"there are {len(self.ingredients.pixelGroup.groupIDs)} groups, and {len(self.ingredients.groupedPeakLists)} peak lists"
+        )
 
         payload = FitMultiplePeaksRequest(
             inputWorkspace=self.focusedWorkspace,