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

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

Author: pre-commit-ci[bot]

magpylib_material_response/demag.py

@@ -44,10 +44,14 @@ def get_susceptibilities(*sources, susceptibility):
             susceptibility = getattr(src, "susceptibility", None)
             if susceptibility is None:
                 if src.parent is None:
-                    raise ValueError("No susceptibility defined in any parent collection")
+                    raise ValueError(
+                        "No susceptibility defined in any parent collection"
+                    )
                 susceptibilities.extend(get_susceptibilities(src.parent))
             elif not hasattr(susceptibility, "__len__"):
-                susceptibilities.append((susceptibility, susceptibility, susceptibility))
+                susceptibilities.append(
+                    (susceptibility, susceptibility, susceptibility)
+                )
             elif len(susceptibility) == 3:
                 susceptibilities.append(susceptibility)
             else:
@@ -57,10 +61,10 @@ def get_susceptibilities(*sources, susceptibility):
     # susceptibilities as input to demag function
     n = len(sources)
     if np.isscalar(susceptibility):
-        susceptibility = np.ones((n,3))*susceptibility
+        susceptibility = np.ones((n, 3)) * susceptibility
     elif len(susceptibility) == 3:
-        susceptibility = np.tile(susceptibility, (n,1))
-        if n==3:
+        susceptibility = np.tile(susceptibility, (n, 1))
+        if n == 3:
             raise ValueError(
                 "Apply_demag input susceptibility is ambiguous - either scalar list or vector single entry. "
                 "Please choose different means of input or change the number of cells in the Collection."
@@ -72,21 +76,13 @@ def get_susceptibilities(*sources, susceptibility):
             )
         susceptibility = np.array(susceptibility)
         if susceptibility.ndim == 1:
-            susceptibility = np.repeat(susceptibility,3).reshape(n,3)
+            susceptibility = np.repeat(susceptibility, 3).reshape(n, 3)
 
     susceptibility = np.reshape(susceptibility, 3 * n, order="F")
 
-
-
-
-
-
-    
     return np.array(susceptibilities)
 
 
-
-
 def get_H_ext(*sources, H_ext=None):
     """Return a list of length (len(sources)) with H_ext values
     Priority is given at the source level, hovever if value is not found, it is searched up the