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Fix grammar for type alias support (#3949)
[etc/vim.git] / tests / data / cases / power_op_spacing.py
1 def function(**kwargs):
2     t = a**2 + b**3
3     return t ** 2
4
5
6 def function_replace_spaces(**kwargs):
7     t = a **2 + b** 3 + c ** 4
8
9
10 def function_dont_replace_spaces():
11     {**a, **b, **c}
12
13
14 a = 5**~4
15 b = 5 ** f()
16 c = -(5**2)
17 d = 5 ** f["hi"]
18 e = lazy(lambda **kwargs: 5)
19 f = f() ** 5
20 g = a.b**c.d
21 h = 5 ** funcs.f()
22 i = funcs.f() ** 5
23 j = super().name ** 5
24 k = [(2**idx, value) for idx, value in pairs]
25 l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
26 m = [([2**63], [1, 2**63])]
27 n = count <= 10**5
28 o = settings(max_examples=10**6)
29 p = {(k, k**2): v**2 for k, v in pairs}
30 q = [10**i for i in range(6)]
31 r = x**y
32 s = 1 ** 1
33 t = (
34     1
35     ** 1
36     **1
37     ** 1
38 )
39
40 a = 5.0**~4.0
41 b = 5.0 ** f()
42 c = -(5.0**2.0)
43 d = 5.0 ** f["hi"]
44 e = lazy(lambda **kwargs: 5)
45 f = f() ** 5.0
46 g = a.b**c.d
47 h = 5.0 ** funcs.f()
48 i = funcs.f() ** 5.0
49 j = super().name ** 5.0
50 k = [(2.0**idx, value) for idx, value in pairs]
51 l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
52 m = [([2.0**63.0], [1.0, 2**63.0])]
53 n = count <= 10**5.0
54 o = settings(max_examples=10**6.0)
55 p = {(k, k**2): v**2.0 for k, v in pairs}
56 q = [10.5**i for i in range(6)]
57 s = 1.0 ** 1.0
58 t = (
59     1.0
60     ** 1.0
61     **1.0
62     ** 1.0
63 )
64
65
66 # WE SHOULD DEFINITELY NOT EAT THESE COMMENTS (https://github.com/psf/black/issues/2873)
67 if hasattr(view, "sum_of_weights"):
68     return np.divide(  # type: ignore[no-any-return]
69         view.variance,  # type: ignore[union-attr]
70         view.sum_of_weights,  # type: ignore[union-attr]
71         out=np.full(view.sum_of_weights.shape, np.nan),  # type: ignore[union-attr]
72         where=view.sum_of_weights**2 > view.sum_of_weights_squared,  # type: ignore[union-attr]
73     )
74
75 return np.divide(
76     where=view.sum_of_weights_of_weight_long**2 > view.sum_of_weights_squared,  # type: ignore
77 )
78
79
80 # output
81
82
83 def function(**kwargs):
84     t = a**2 + b**3
85     return t**2
86
87
88 def function_replace_spaces(**kwargs):
89     t = a**2 + b**3 + c**4
90
91
92 def function_dont_replace_spaces():
93     {**a, **b, **c}
94
95
96 a = 5**~4
97 b = 5 ** f()
98 c = -(5**2)
99 d = 5 ** f["hi"]
100 e = lazy(lambda **kwargs: 5)
101 f = f() ** 5
102 g = a.b**c.d
103 h = 5 ** funcs.f()
104 i = funcs.f() ** 5
105 j = super().name ** 5
106 k = [(2**idx, value) for idx, value in pairs]
107 l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
108 m = [([2**63], [1, 2**63])]
109 n = count <= 10**5
110 o = settings(max_examples=10**6)
111 p = {(k, k**2): v**2 for k, v in pairs}
112 q = [10**i for i in range(6)]
113 r = x**y
114 s = 1**1
115 t = 1**1**1**1
116
117 a = 5.0**~4.0
118 b = 5.0 ** f()
119 c = -(5.0**2.0)
120 d = 5.0 ** f["hi"]
121 e = lazy(lambda **kwargs: 5)
122 f = f() ** 5.0
123 g = a.b**c.d
124 h = 5.0 ** funcs.f()
125 i = funcs.f() ** 5.0
126 j = super().name ** 5.0
127 k = [(2.0**idx, value) for idx, value in pairs]
128 l = mod.weights_[0] == pytest.approx(0.95**100, abs=0.001)
129 m = [([2.0**63.0], [1.0, 2**63.0])]
130 n = count <= 10**5.0
131 o = settings(max_examples=10**6.0)
132 p = {(k, k**2): v**2.0 for k, v in pairs}
133 q = [10.5**i for i in range(6)]
134 s = 1.0**1.0
135 t = 1.0**1.0**1.0**1.0
136
137
138 # WE SHOULD DEFINITELY NOT EAT THESE COMMENTS (https://github.com/psf/black/issues/2873)
139 if hasattr(view, "sum_of_weights"):
140     return np.divide(  # type: ignore[no-any-return]
141         view.variance,  # type: ignore[union-attr]
142         view.sum_of_weights,  # type: ignore[union-attr]
143         out=np.full(view.sum_of_weights.shape, np.nan),  # type: ignore[union-attr]
144         where=view.sum_of_weights**2 > view.sum_of_weights_squared,  # type: ignore[union-attr]
145     )
146
147 return np.divide(
148     where=view.sum_of_weights_of_weight_long**2 > view.sum_of_weights_squared,  # type: ignore
149 )