style: pre-commit fixes

src/awkward/_lookup.py

@@ -14,7 +14,7 @@ def arrayptr(x):
             if isinstance(x, int):
                 return x
             elif isinstance(self.nplike, ak.nplikes.Cupy):
-                 return x.data
+                return x.data
             else:
                 return x.ctypes.data
 

tests-cuda/test_1809-cuda-jit.py

@@ -1,17 +1,16 @@
 # BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE
 
+import cupy
 import numpy as np  # noqa: F401
 import pytest  # noqa: F401
 
 import awkward as ak  # noqa: F401
-import cupy
 
 numba = pytest.importorskip("numba")
 
-from numba import cuda, types  # noqa: F401, E402
+from numba import config, cuda, types  # noqa: F401, E402
 from numba.core.typing.typeof import typeof, typeof_impl  # noqa: F401, E402
 
-from numba import config
 config.CUDA_LOW_OCCUPANCY_WARNINGS = False
 config.CUDA_WARN_ON_IMPLICIT_COPY = False
 
@@ -21,22 +20,25 @@
 
 ak.numba.register_and_check()
 
+
 class ArrayViewArgHandler:
     def prepare_args(self, ty, val, **kwargs):
         print(repr(val), type(val))
-        if isinstance(val, ak.Array):   
+        if isinstance(val, ak.Array):
             return ty, val
         elif isinstance(val, ak._connect.numba.arrayview.ArrayView):
             return types.uint64, val._numbaview.lookup.arrayptrs
         else:
             return ty, val
 
+
 array_view_arg_handler = ArrayViewArgHandler()
 
 # FIXME: configure the blocks
 # threadsperblock = 32
 # blockspergrid = 128
 
+
 @cuda.jit(extensions=[array_view_arg_handler])
 def swallow(array):
     pass
@@ -62,18 +64,22 @@ def digest2(array):
     tmp = array[0]
     return tmp, tmp, array[0]
 
+
 def test_numpy_array_1d():
     nparray = np.array([0, 1, 2, 3], dtype=int)
     swallow[1, 1](nparray)
 
+
 def test_to_numy_array_1d():
     akarray = ak.Array([0, 1, 2, 3])
     swallow[1, 1](ak.to_numpy(akarray))
 
-#def test_array_1d():
+
+# def test_array_1d():
 #    akarray = ak.Array([0, 1, 2, 3])
 #    swallow[1, 1](akarray))
-
+
+
 def test_array_njit():
     @numba.njit
     def something(array):
@@ -91,9 +97,7 @@ def something(array):
         if index > len(array):
             return
 
-    akarray = ak.Array(
-        [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9], backend="cuda"
-    )
+    akarray = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9], backend="cuda")
     something[1, 1](ak.to_cupy(akarray))
 
 
@@ -104,9 +108,5 @@ def something(array):
         if index > len(array):
             return
 
-    akarray = ak.Array(
-        [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9]
-    )
+    akarray = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
     something[1, 1](ak.to_numpy(akarray))
-
-