chore: update pre-commit

Author: danielsirakov

.pre-commit-config.yaml

@@ -11,7 +11,7 @@ ci:
   submodules: false
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.6.0
+    rev: v6.0.0
     hooks:
       - id: check-yaml
       - id: end-of-file-fixer
@@ -21,31 +21,31 @@ repos:
       - id: check-toml
       - id: check-added-large-files
   - repo: https://github.com/psf/black
-    rev: 24.4.2
+    rev: 26.5.1
     hooks:
       - id: black
   - repo: https://github.com/pycqa/flake8
-    rev: 7.0.0
+    rev: 7.3.0
     hooks:
       - id: flake8
   - repo: https://github.com/pycqa/isort
-    rev: 5.13.2
+    rev: 9.0.0a3
     hooks:
       - id: isort
         args: ["--profile", "black"]
   - repo: https://github.com/kynan/nbstripout
-    rev: 0.7.1
+    rev: 0.9.1
     hooks:
       - id: nbstripout
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v6.0.0
     hooks:
       - id: no-commit-to-branch
         name: Prevent Commit to Main Branch
         args: ["--branch", "main"]
         stages: [pre-commit]
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.3.0
+    rev: v2.4.2
     hooks:
       - id: codespell
         additional_dependencies:
@@ -58,8 +58,8 @@ repos:
         additional_dependencies:
           - "prettier@^3.2.4"
   # docformatter - PEP 257 compliant docstring formatter
-  - repo: https://github.com/s-weigand/docformatter
-    rev: 5757c5190d95e5449f102ace83df92e7d3b06c6c
+  - repo: https://github.com/PyCQA/docformatter
+    rev: v1.7.8
     hooks:
       - id: docformatter
         additional_dependencies: [tomli]

docs/examples/coreshellnp.py

@@ -37,7 +37,6 @@
 
 def makeRecipe(stru1, stru2, datname):
     """Create a fitting recipe for crystalline PDF data."""
-
     # The Profile
     profile = Profile()
 
@@ -133,7 +132,6 @@ def makeRecipe(stru1, stru2, datname):
 
 def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
-
     # All this should be pretty familiar by now.
     r = recipe.cdszns.profile.x
     g = recipe.cdszns.profile.y
@@ -157,7 +155,6 @@ def plotResults(recipe):
 
 def main():
     """Set up and refine the recipe."""
-
     # Make the data and the recipe
     cdsciffile = "data/CdS.cif"
     znsciffile = "data/ZnS.cif"

docs/examples/crystalpdf.py

@@ -42,7 +42,6 @@
 
 def makeRecipe(ciffile, datname):
     """Create a fitting recipe for crystalline PDF data."""
-
     # The Profile
     # This will be used to store the observed and calculated PDF profile.
     profile = Profile()
@@ -131,7 +130,6 @@ def makeRecipe(ciffile, datname):
 
 def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
-
     # All this should be pretty familiar by now.
     r = recipe.nickel.profile.x
     g = recipe.nickel.profile.y

docs/examples/crystalpdfall.py

@@ -56,7 +56,6 @@ def makeRecipe(
     ciffile_ni, ciffile_si, xdata_ni, ndata_ni, xdata_si, xdata_sini
 ):
     """Create a fitting recipe for crystalline PDF data."""
-
     # The Profiles
     # We need a profile for each data set.
     xprofile_ni = makeProfile(xdata_ni)
@@ -146,7 +145,6 @@ def makeRecipe(
 
 def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
-
     # All this should be pretty familiar by now.
     xnickel = recipe.xnickel
     xr_ni = xnickel.profile.x

docs/examples/crystalpdfobjcryst.py

@@ -37,7 +37,6 @@
 
 def makeRecipe(ciffile, datname):
     """Create a fitting recipe for crystalline PDF data."""
-
     # The Profile
     # This will be used to store the observed and calculated PDF profile.
     profile = Profile()

docs/examples/crystalpdftwodata.py

@@ -38,7 +38,6 @@
 
 def makeRecipe(ciffile, xdatname, ndatname):
     """Create a fitting recipe for crystalline PDF data."""
-
     # The Profiles
     # We need a profile for each data set. This means that we will need two
     # FitContributions as well.
@@ -137,7 +136,6 @@ def makeRecipe(ciffile, xdatname, ndatname):
 
 def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
-
     # All this should be pretty familiar by now.
     xr = recipe.xnickel.profile.x
     xg = recipe.xnickel.profile.y

docs/examples/crystalpdftwophase.py

@@ -38,7 +38,6 @@
 
 def makeRecipe(niciffile, siciffile, datname):
     """Create a fitting recipe for crystalline PDF data."""
-
     # The Profile
     profile = Profile()
 
@@ -142,7 +141,6 @@ def makeRecipe(niciffile, siciffile, datname):
 
 def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
-
     # All this should be pretty familiar by now.
     r = recipe.nisi.profile.x
     g = recipe.nisi.profile.y

docs/examples/debyemodel.py

@@ -84,7 +84,6 @@ def makeRecipe():
     optimize for the data/equation pair. This can be modified, but we
     won't do that here.
     """
-
     # The Profile
     # Create a Profile to hold the experimental and calculated signal.
     profile = Profile()
@@ -159,7 +158,6 @@ def makeRecipe():
 
 def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
-
     # Plot this.
     # Note that since the contribution was given the name "pb", it is
     # accessible from the recipe with this name. This is a useful way to
@@ -182,7 +180,6 @@ def plotResults(recipe):
 
 def main():
     """The workflow of creating, running and inspecting a fit."""
-
     # Create the recipe
     recipe = makeRecipe()
 

docs/examples/debyemodelII.py

@@ -54,7 +54,6 @@ def makeRecipeII():
     constrain the Debye temperature in each FitContribution to be the
     same.
     """
-
     # We'll throw these away. We just want the FitContributions that are
     # configured within the recipes.
     m1 = makeRecipe()
@@ -95,7 +94,6 @@ def makeRecipeII():
 
 def plotResults(recipe):
     """Display the results contained within a refined FitRecipe."""
-
     # The variable values are returned in the order in which the variables were
     # added to the FitRecipe.
     lowToffset, highToffset, thetaD = recipe.getValues()

docs/examples/ellipsoidsas.py

@@ -30,7 +30,6 @@
 
 def makeRecipe(datname):
     """Create a fitting recipe for ellipsoidal SAS data."""
-
     # The Profile
     # This will be used to store the observed and calculated I(Q) data.
     profile = Profile()
@@ -89,7 +88,6 @@ def makeRecipe(datname):
 
 def plotResults(recipe):
     """Plot the results contained within a refined FitRecipe."""
-
     # All this should be pretty familiar by now.
     r = recipe.ellipsoid.profile.x
     y = recipe.ellipsoid.profile.y