Fix newly-flagged ruff issues

Author: inducer

pycuda/compiler.py

@@ -210,9 +210,9 @@ def _find_pycuda_include_path():
 
 
 DEFAULT_NVCC_FLAGS = [
-    _flag.strip()
-    for _flag in os.environ.get("PYCUDA_DEFAULT_NVCC_FLAGS", "").split()
-    if _flag.strip()
+    flag.strip()
+    for flag in os.environ.get("PYCUDA_DEFAULT_NVCC_FLAGS", "").split()
+    if flag.strip()
 ]
 
 

test/test_gpuarray.py

@@ -796,8 +796,8 @@ def test_any(self, dtype):
             assert any_ary_gpu.dtype == any_ary.dtype
 
         import itertools
-        for _array in list(itertools.product([0, 1], [0, 1], [0, 1])):
-            array = np.array(_array, dtype)
+        for array_ in list(itertools.product([0, 1], [0, 1], [0, 1])):
+            array = np.array(array_, dtype)
             array_gpu = gpuarray.to_gpu(array)
             any_array = np.any(array)
             any_array_gpu = array_gpu.any().get()
@@ -821,8 +821,8 @@ def test_all(self, dtype):
             assert all_ary_gpu.dtype == all_ary.dtype
 
         import itertools
-        for _array in list(itertools.product([0, 1], [0, 1], [0, 1])):
-            array = np.array(_array, dtype)
+        for array_ in list(itertools.product([0, 1], [0, 1], [0, 1])):
+            array = np.array(array_, dtype)
             array_gpu = gpuarray.to_gpu(array)
             all_array = np.all(array)
             all_array_gpu = array_gpu.all().get()