Merge pull request numpy#27297 from DimitriPapadopoulos/RSE

MAINT: Apply ruff/flake8-raise rules (RSE)

Author: charris

benchmarks/benchmarks/bench_ufunc.py

@@ -50,7 +50,7 @@ def setup(self, ufuncname):
         try:
             self.afdn = getattr(np, ufuncname)
         except AttributeError:
-            raise NotImplementedError()
+            raise NotImplementedError
         self.args = []
         for _, aarg in get_squares_().items():
             arg = (aarg,) * 1  # no nin
@@ -97,7 +97,7 @@ def setup(self, ufuncname):
         try:
             self.ufn = getattr(np, ufuncname)
         except AttributeError:
-            raise NotImplementedError()
+            raise NotImplementedError
         self.args = []
         for _, aarg in get_squares_().items():
             arg = (aarg,) * self.ufn.nin
@@ -332,7 +332,7 @@ def setup(self, ufuncname):
         try:
             self.f = getattr(np, ufuncname)
         except AttributeError:
-            raise NotImplementedError()
+            raise NotImplementedError
         self.array_5 = np.array([1., 2., 10., 3., 4.])
         self.array_int_3 = np.array([1, 2, 3])
         self.float64 = np.float64(1.1)

numpy/__init__.py

@@ -443,7 +443,7 @@ def _sanity_check():
         try:
             x = ones(2, dtype=float32)
             if not abs(x.dot(x) - float32(2.0)) < 1e-5:
-                raise AssertionError()
+                raise AssertionError
         except AssertionError:
             msg = ("The current Numpy installation ({!r}) fails to "
                    "pass simple sanity checks. This can be caused for example "

numpy/_core/numerictypes.py

@@ -374,7 +374,7 @@ def _preprocess_dtype(dtype):
     if isinstance(dtype, ma.dtype):
         dtype = dtype.type
     if isinstance(dtype, ndarray) or dtype not in allTypes.values():
-        raise _PreprocessDTypeError()
+        raise _PreprocessDTypeError
     return dtype
 
 

numpy/_core/tests/test_mem_overlap.py

@@ -235,7 +235,7 @@ def iter_random_view_pairs(x, same_steps=True, equal_size=False):
     rng = np.random.RandomState(1234)
 
     if equal_size and same_steps:
-        raise ValueError()
+        raise ValueError
 
     def random_slice(n, step):
         start = rng.randint(0, n+1, dtype=np.intp)

numpy/_core/tests/test_multiarray.py

@@ -1097,14 +1097,14 @@ def __len__(self):
                 return 1
 
             def __getitem__(self, index):
-                raise ValueError()
+                raise ValueError
 
         class Map:
             def __len__(self):
                 return 1
 
             def __getitem__(self, index):
-                raise KeyError()
+                raise KeyError
 
         a = np.array([Map()])
         assert_(a.shape == (1,))
@@ -1121,7 +1121,7 @@ def __getitem__(self, ind):
                 if ind in [0, 1]:
                     return ind
                 else:
-                    raise IndexError()
+                    raise IndexError
         d = np.array([Point2(), Point2(), Point2()])
         assert_equal(d.dtype, np.dtype(object))
 
@@ -8592,7 +8592,7 @@ def __array__(self, dtype=None, copy=None):
     def test__array__reference_leak(self):
         class NotAnArray:
             def __array__(self, dtype=None, copy=None):
-                raise NotImplementedError()
+                raise NotImplementedError
 
         x = NotAnArray()
 
@@ -9993,7 +9993,7 @@ def check(self, shape, dtype, order, align):
         elif order is None:
             assert_(x.flags.c_contiguous, err_msg)
         else:
-            raise ValueError()
+            raise ValueError
 
     def test_various_alignments(self):
         for align in [1, 2, 3, 4, 8, 12, 16, 32, 64, None]:

numpy/_core/tests/test_regression.py

@@ -2178,7 +2178,7 @@ class Foo:
             __array_priority__ = 1002
 
             def __array__(self, *args, **kwargs):
-                raise Exception()
+                raise Exception
 
         rhs = Foo()
         lhs = np.array(1)

numpy/fft/tests/test_pocketfft.py

@@ -494,7 +494,7 @@ def test_fft_with_order(dtype, order, fft):
             Y_res = fft(Y, axes=ax)
             assert_allclose(X_res, Y_res, atol=_tol, rtol=_tol)
     else:
-        raise ValueError()
+        raise ValueError
 
 
 @pytest.mark.parametrize("order", ["F", "C"])

numpy/lib/tests/test_function_base.py

@@ -1563,7 +1563,7 @@ def test_keywords_no_func_code(self):
         try:
             vectorize(random.randrange)  # Should succeed
         except Exception:
-            raise AssertionError()
+            raise AssertionError
 
     def test_keywords2_ticket_2100(self):
         # Test kwarg support: enhancement ticket 2100

numpy/lib/tests/test_regression.py

@@ -180,7 +180,7 @@ def test_append_fields_dtype_list(self):
         try:
             append_fields(base, names, data, dlist)
         except Exception:
-            raise AssertionError()
+            raise AssertionError
 
     def test_loadtxt_fields_subarrays(self):
         # For ticket #1936
@@ -209,7 +209,7 @@ def test_nansum_with_boolean(self):
         try:
             np.nansum(a)
         except Exception:
-            raise AssertionError()
+            raise AssertionError
 
     def test_py3_compat(self):
         # gh-2561
@@ -222,6 +222,6 @@ class C:
         try:
             np.info(C(), output=out)
         except AttributeError:
-            raise AssertionError()
+            raise AssertionError
         finally:
             out.close()

numpy/polynomial/chebyshev.py

@@ -800,7 +800,7 @@ def chebdiv(c1, c2):
     # c1, c2 are trimmed copies
     [c1, c2] = pu.as_series([c1, c2])
     if c2[-1] == 0:
-        raise ZeroDivisionError()
+        raise ZeroDivisionError  # FIXME: add message with details to exception
 
     # note: this is more efficient than `pu._div(chebmul, c1, c2)`
     lc1 = len(c1)