fix: cleanup tests and sets

Author: henryiii

src/boost_histogram/_internal/hist.py

@@ -364,10 +364,10 @@ def _compute_inplace_op(
                         len(other.shape), self.ndim
                     )
                 )
-            elif all(a in [b, 1] for a, b in zip(other.shape, self.shape)):
+            elif all(a in {b, 1} for a, b in zip(other.shape, self.shape)):
                 view = self.view(flow=False)
                 getattr(view, name)(other)
-            elif all(a in [b, 1] for a, b in zip(other.shape, self.axes.extent)):
+            elif all(a in {b, 1} for a, b in zip(other.shape, self.axes.extent)):
                 view = self.view(flow=True)
                 getattr(view, name)(other)
             else:

tests/test_accumulators.py

@@ -115,12 +115,12 @@ def test_sum_mean(list1, list2):
 
     ab = a + b
     assert ab.value == approx(c.value)
-    assert ab.variance == approx(c.variance, nan_ok=True, abs=1e-9, rel=1e-9)
+    assert ab.variance == approx(c.variance, nan_ok=True, abs=1e-7, rel=1e-3)
     assert ab.count == approx(c.count)
 
     a += b
     assert a.value == approx(c.value)
-    assert a.variance == approx(c.variance, nan_ok=True, abs=1e-9, rel=1e-9)
+    assert a.variance == approx(c.variance, nan_ok=True, abs=1e-7, rel=1e-3)
     assert a.count == approx(c.count)
 
 
@@ -129,7 +129,7 @@ def test_sum_mean(list1, list2):
         st.lists(float_st, min_size=n, max_size=n),
         st.lists(
             st.floats(
-                allow_nan=False, allow_infinity=False, min_value=1e-4, max_value=1e5
+                allow_nan=False, allow_infinity=False, min_value=1e-2, max_value=1e5
             ),
             min_size=n,
             max_size=n,
@@ -151,12 +151,12 @@ def test_sum_weighed_mean(pair1, pair2):
 
     ab = a + b
     assert ab.value == approx(c.value)
-    assert ab.variance == approx(c.variance, nan_ok=True, abs=1e-9, rel=1e-9)
+    assert ab.variance == approx(c.variance, nan_ok=True, abs=1e-7, rel=1e-3)
     assert ab.sum_of_weights == approx(c.sum_of_weights)
     assert ab.sum_of_weights_squared == approx(c.sum_of_weights_squared)
 
     a += b
     assert a.value == approx(c.value)
-    assert a.variance == approx(c.variance, nan_ok=True, abs=1e-9, rel=1e-9)
+    assert a.variance == approx(c.variance, nan_ok=True, abs=1e-7, rel=1e-3)
     assert a.sum_of_weights == approx(c.sum_of_weights)
     assert a.sum_of_weights_squared == approx(c.sum_of_weights_squared)