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 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)] # 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 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)] # 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 )