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