ruff lint and format

Author: siliataider

bindings/pyroot/pythonizations/python/ROOT/_pythonization/_rvec.py

@@ -56,10 +56,11 @@
 \endpythondoc
 """
 
-from . import pythonization
-import cppyy
 import sys
 
+import cppyy
+
+from . import pythonization
 
 _array_interface_dtype_map = {
     "Long64_t": "i",
@@ -75,7 +76,17 @@
 
 
 def _get_cpp_type_from_numpy_type(dtype):
-    cpptypes = {"i2": "Short_t", "u2": "UShort_t", "i4": "int", "u4": "unsigned int", "i8": "Long64_t", "u8": "ULong64_t", "f4": "float", "f8": "double", "b1": "bool"}
+    cpptypes = {
+        "i2": "Short_t",
+        "u2": "UShort_t",
+        "i4": "int",
+        "u4": "unsigned int",
+        "i8": "Long64_t",
+        "u8": "ULong64_t",
+        "f4": "float",
+        "f8": "double",
+        "b1": "bool",
+    }
 
     if dtype not in cpptypes:
         raise RuntimeError("Object not convertible: Python object has unknown data-type '" + dtype + "'.")
@@ -95,10 +106,12 @@ def _AsRVec(arr):
     interface dictionary.
     Note that for arrays of strings, the input strings are copied into the RVec.
     """
-    import ROOT
     import math
+
     import numpy as np
 
+    import ROOT
+
     # Get array interface of object
     interface = arr.__array_interface__
 
@@ -117,7 +130,11 @@ def _AsRVec(arr):
     if dtype == "O" or dtype.startswith("U"):
         underlying_object_types = {type(elem) for elem in arr}
         if len(underlying_object_types) > 1:
-            raise TypeError("All elements in the numpy array must be of the same type. Found types: {}".format(underlying_object_types))
+            raise TypeError(
+                "All elements in the numpy array must be of the same type. Found types: {}".format(
+                    underlying_object_types
+                )
+            )
 
         if underlying_object_types and underlying_object_types.pop() in [str, np.str_]:
             return ROOT.VecOps.RVec["std::string"](arr)
@@ -130,7 +147,7 @@ def _AsRVec(arr):
             + typestr
             + "' with invalid length unequal 3."
         )
-        
+
     # Construct an RVec of the correct data-type
     cppdtype = _get_cpp_type_from_numpy_type(dtype)
     out = ROOT.VecOps.RVec[cppdtype](ROOT.module.cppyy.ll.reinterpret_cast[f"{cppdtype} *"](data), size)