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These tests consist of various Python constructions (hopefully a somewhat comprehensive set) with specific timestamp annotations scattered throughout. When the tests are run using the Python 3 interpreter, these annotations are checked and compared to the "current timestamp" to see that they are in agreement. This is what makes the tests "self-validating". There are a few different kinds of annotations: the basic `t[4]` style (meaning this is executed at timestamp 4), the `t[dead(4)]` variant (meaning this _would_ happen at timestamp 4, but it is in a dead branch), and `t[never]` (meaning this is never executed at all). In addition to this, there is a query, MissingAnnotations, which checks whether we have applied these annotations maximally. Many expression nodes are not actually annotatable, so there is a sizeable list of excluded nodes for that query.
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
"""Unpacking and star expressions evaluation order."""
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from timer import test
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@test
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def test_tuple_unpack(t):
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"""RHS expression evaluates, then unpacking assigns targets."""
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a, b = (1 @ t[0], 2 @ t[1]) @ t[2]
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x = (a @ t[3] + b @ t[4]) @ t[5]
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@test
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def test_list_unpack(t):
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"""List unpacking: RHS elements left to right, then unpack."""
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[a, b] = [1 @ t[0], 2 @ t[1]] @ t[2]
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x = (a @ t[3] + b @ t[4]) @ t[5]
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@test
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def test_star_unpack(t):
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"""Star unpacking: RHS evaluates first."""
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a, *b = [1 @ t[0], 2 @ t[1], 3 @ t[2], 4 @ t[3]] @ t[4]
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x = (a @ t[5], b @ t[6]) @ t[7]
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@test
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def test_nested_unpack(t):
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"""Nested unpacking: RHS evaluates first."""
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(a, b), c = ((1 @ t[0], 2 @ t[1]) @ t[2], 3 @ t[3]) @ t[4]
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x = ((a @ t[5] + b @ t[6]) @ t[7] + c @ t[8]) @ t[9]
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@test
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def test_swap(t):
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a = 1 @ t[0]
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b = 2 @ t[1]
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a, b = (b @ t[2], a @ t[3]) @ t[4]
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x = a @ t[5]
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y = b @ t[6]
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@test
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def test_unpack_for(t):
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pairs = [(1 @ t[0], 2 @ t[1]) @ t[2], (3 @ t[3], 4 @ t[4]) @ t[5]] @ t[6]
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for a, b in pairs @ t[7]:
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x = a @ t[8, 10]
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y = b @ t[9, 11]
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