Apply ruff/tryceratops rule TRY201

Use `raise` without specifying exception name

Author: DimitriPapadopoulos

src/blosc2/lazyexpr.py

@@ -114,7 +114,7 @@ def ne_evaluate(expression, local_dict=None, **kwargs):
         if e.args and e.args[0] == "NumExpr 2 does not support Unicode as a dtype.":
             pass
         else:
-            raise e  # unsafe expression
+            raise  # unsafe expression
     except Exception:
         pass
     # Try with blosc2 funcs as presence of non-numexpr funcs probably caused failure

tests/ndarray/test_elementwise_funcs.py

@@ -105,7 +105,7 @@ def _test_unary_func_impl(np_func, blosc_func, dtype, shape, chunkshape):
             ):
                 assert True
             else:
-                raise e
+                raise
 
 
 def _test_binary_func_proxy(np_func, blosc_func, dtype, shape, chunkshape, xp):
@@ -168,12 +168,12 @@ def _test_binary_func_proxy(np_func, blosc_func, dtype, shape, chunkshape, xp):
             ):  # not supported for complex dtypes
                 assert True
             else:
-                raise e
+                raise
         except NotImplementedError as e:
             if np_func.__name__ in ("left_shift", "right_shift", "floor_divide", "power", "remainder"):
                 assert True
             else:
-                raise e
+                raise
         except AssertionError as e:
             if np_func.__name__ == "power" and blosc2.isdtype(
                 dtype, "integral"
@@ -189,7 +189,7 @@ def _test_binary_func_proxy(np_func, blosc_func, dtype, shape, chunkshape, xp):
                 )
                 pytest.skip("minimum and maximum for numexpr do not match NaN behaviour for numpy")
             else:
-                raise e
+                raise
 
 
 def _test_unary_func_proxy(np_func, blosc_func, dtype, shape, xp):
@@ -228,7 +228,7 @@ def _test_unary_func_proxy(np_func, blosc_func, dtype, shape, xp):
             ):
                 assert True
             else:
-                raise e
+                raise
 
 
 def _test_binary_func_impl(np_func, blosc_func, dtype, shape, chunkshape):
@@ -283,12 +283,12 @@ def _test_binary_func_impl(np_func, blosc_func, dtype, shape, chunkshape):
             ):  # not supported for complex dtypes
                 assert True
             else:
-                raise e
+                raise
         except NotImplementedError as e:
             if np_func.__name__ in ("left_shift", "right_shift", "floor_divide", "power", "remainder"):
                 assert True
             else:
-                raise e
+                raise
         except AssertionError as e:
             if np_func.__name__ == "power" and blosc2.isdtype(
                 dtype, "integral"
@@ -304,7 +304,7 @@ def _test_binary_func_impl(np_func, blosc_func, dtype, shape, chunkshape):
                 )
                 pytest.skip("minimum and maximum for numexpr do not match NaN behaviour for numpy")
             else:
-                raise e
+                raise
 
 
 @pytest.mark.parametrize(("np_func", "blosc_func"), UNARY_FUNC_PAIRS)

tests/ndarray/test_reductions.py

@@ -219,7 +219,7 @@ def test_reduce_expr_arr(array_fixture, axis, reduce_op):
             print(blosccumsumVsnpsum, npcumsumVsnpsum)
             if blosccumsumVsnpsum < npcumsumVsnpsum:
                 return
-        raise e
+        raise
 
 
 # Test broadcasting