+++ /dev/null
-def function(**kwargs):
- t = a**2 + b**3
- return t ** 2
-
-
-def function_replace_spaces(**kwargs):
- t = a **2 + b** 3 + c ** 4
-
-
-def function_dont_replace_spaces():
- {**a, **b, **c}
-
-
-a = 5**~4
-b = 5 ** f()
-c = -(5**2)
-d = 5 ** f["hi"]
-e = lazy(lambda **kwargs: 5)
-f = f() ** 5
-g = a.b**c.d
-h = 5 ** funcs.f()
-i = funcs.f() ** 5
-j = super().name ** 5
-k = [(2**idx, value) for idx, value in pairs]
-l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
-m = [([2**63], [1, 2**63])]
-n = count <= 10**5
-o = settings(max_examples=10**6)
-p = {(k, k**2): v**2 for k, v in pairs}
-q = [10**i for i in range(6)]
-r = x**y
-s = 1 ** 1
-t = (
- 1
- ** 1
- **1
- ** 1
-)
-
-a = 5.0**~4.0
-b = 5.0 ** f()
-c = -(5.0**2.0)
-d = 5.0 ** f["hi"]
-e = lazy(lambda **kwargs: 5)
-f = f() ** 5.0
-g = a.b**c.d
-h = 5.0 ** funcs.f()
-i = funcs.f() ** 5.0
-j = super().name ** 5.0
-k = [(2.0**idx, value) for idx, value in pairs]
-l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
-m = [([2.0**63.0], [1.0, 2**63.0])]
-n = count <= 10**5.0
-o = settings(max_examples=10**6.0)
-p = {(k, k**2): v**2.0 for k, v in pairs}
-q = [10.5**i for i in range(6)]
-s = 1.0 ** 1.0
-t = (
- 1.0
- ** 1.0
- **1.0
- ** 1.0
-)
-
-
-# WE SHOULD DEFINITELY NOT EAT THESE COMMENTS (https://github.com/psf/black/issues/2873)
-if hasattr(view, "sum_of_weights"):
- return np.divide( # type: ignore[no-any-return]
- view.variance, # type: ignore[union-attr]
- view.sum_of_weights, # type: ignore[union-attr]
- out=np.full(view.sum_of_weights.shape, np.nan), # type: ignore[union-attr]
- where=view.sum_of_weights**2 > view.sum_of_weights_squared, # type: ignore[union-attr]
- )
-
-return np.divide(
- where=view.sum_of_weights_of_weight_long**2 > view.sum_of_weights_squared, # type: ignore
-)
-
-
-# output
-
-
-def function(**kwargs):
- t = a**2 + b**3
- return t**2
-
-
-def function_replace_spaces(**kwargs):
- t = a**2 + b**3 + c**4
-
-
-def function_dont_replace_spaces():
- {**a, **b, **c}
-
-
-a = 5**~4
-b = 5 ** f()
-c = -(5**2)
-d = 5 ** f["hi"]
-e = lazy(lambda **kwargs: 5)
-f = f() ** 5
-g = a.b**c.d
-h = 5 ** funcs.f()
-i = funcs.f() ** 5
-j = super().name ** 5
-k = [(2**idx, value) for idx, value in pairs]
-l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
-m = [([2**63], [1, 2**63])]
-n = count <= 10**5
-o = settings(max_examples=10**6)
-p = {(k, k**2): v**2 for k, v in pairs}
-q = [10**i for i in range(6)]
-r = x**y
-s = 1**1
-t = 1**1**1**1
-
-a = 5.0**~4.0
-b = 5.0 ** f()
-c = -(5.0**2.0)
-d = 5.0 ** f["hi"]
-e = lazy(lambda **kwargs: 5)
-f = f() ** 5.0
-g = a.b**c.d
-h = 5.0 ** funcs.f()
-i = funcs.f() ** 5.0
-j = super().name ** 5.0
-k = [(2.0**idx, value) for idx, value in pairs]
-l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
-m = [([2.0**63.0], [1.0, 2**63.0])]
-n = count <= 10**5.0
-o = settings(max_examples=10**6.0)
-p = {(k, k**2): v**2.0 for k, v in pairs}
-q = [10.5**i for i in range(6)]
-s = 1.0**1.0
-t = 1.0**1.0**1.0**1.0
-
-
-# WE SHOULD DEFINITELY NOT EAT THESE COMMENTS (https://github.com/psf/black/issues/2873)
-if hasattr(view, "sum_of_weights"):
- return np.divide( # type: ignore[no-any-return]
- view.variance, # type: ignore[union-attr]
- view.sum_of_weights, # type: ignore[union-attr]
- out=np.full(view.sum_of_weights.shape, np.nan), # type: ignore[union-attr]
- where=view.sum_of_weights**2 > view.sum_of_weights_squared, # type: ignore[union-attr]
- )
-
-return np.divide(
- where=view.sum_of_weights_of_weight_long**2 > view.sum_of_weights_squared, # type: ignore
-)