And of course also black the examples

examples/00_misc/06_fourier.py

@@ -35,7 +35,7 @@
 )
 
 # Now, we can calculate the field with the given parameters.
-srf((x, y), mesh_type='structured')
+srf((x, y), mesh_type="structured")
 
 # GSTools has a few simple visualization methods built in.
 srf.plot()
@@ -44,7 +44,7 @@
 # GSTools. Therefore, we set the cutoff values to absolut values in Fourier
 # space. But always check, if you cover enough of the spectral density to not
 # run into numerical problems.
-modes_cutoff = [1., 1.]
+modes_cutoff = [1.0, 1.0]
 
 # Next, we have to compute the numerical step size in Fourier space. This choice
 # influences the periodicity, which we want to set to the domain size by

examples/00_misc/07_fourier_trans.py

@@ -28,7 +28,7 @@
     seed=1681903,
 )
 # and compute it on our spatial domain
-srf((x, y), mesh_type='structured')
+srf((x, y), mesh_type="structured")
 
 # With the field generated, we can now apply transformations
 # starting with a discretization of the field into 4 different values
@@ -38,5 +38,7 @@
 
 # This is already a nice result, but we want to pronounce the peaks of the
 # field. We can do this by applying a log-normal transformation on top
-srf.transform("lognormal", field="transform_discrete", store="transform_lognormal")
+srf.transform(
+    "lognormal", field="transform_discrete", store="transform_lognormal"
+)
 srf.plot("transform_lognormal")