mirror of
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501 lines
9.2 KiB
Python
501 lines
9.2 KiB
Python
# This should cover all the syntactical constructs that we hope to support.
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# Headings refer to https://docs.python.org/3/reference/expressions.html,
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# and are selected whenever they incur dataflow.
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# Intended sources should be the variable `SOURCE` and intended sinks should be
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# arguments to the function `SINK` (see python/ql/test/experimental/dataflow/testConfig.qll).
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#
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# Functions whose name ends with "_with_local_flow" will also be tested for local flow.
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#
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# All functions starting with "test_" should run and print `"OK"`.
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# This can be checked by running validTest.py.
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# These are defined so that we can evaluate the test code.
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NONSOURCE = "not a source"
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SOURCE = "source"
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def is_source(x):
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return x == "source" or x == b"source" or x == 42 or x == 42.0 or x == 42j
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def SINK(x):
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if is_source(x):
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print("OK")
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else:
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print("Unexpected flow", x)
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def SINK_F(x):
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if is_source(x):
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print("Unexpected flow", x)
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else:
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print("OK")
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def test_tuple_with_local_flow():
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x = (NONSOURCE, SOURCE)
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y = x[1]
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SINK(y)
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def test_tuple_negative():
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x = (NONSOURCE, SOURCE)
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y = x[0]
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SINK_F(y)
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# 6.2.1. Identifiers (Names)
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def test_names():
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x = SOURCE
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SINK(x)
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# 6.2.2. Literals
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def test_string_literal():
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x = "source"
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SINK(x)
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def test_bytes_literal():
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x = b"source"
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SINK(x)
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def test_integer_literal():
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x = 42
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SINK(x)
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def test_floatnumber_literal():
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x = 42.0
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SINK(x)
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def test_imagnumber_literal():
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x = 42j
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SINK(x) # Flow missing
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# 6.2.3. Parenthesized forms
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def test_parenthesized_form():
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x = (SOURCE)
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SINK(x)
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# 6.2.5. List displays
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def test_list_display():
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x = [SOURCE]
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SINK(x[0])
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def test_list_display_negative():
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x = [SOURCE]
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SINK_F(x)
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def test_list_comprehension():
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x = [SOURCE for y in [NONSOURCE]]
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SINK(x[0])
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def test_list_comprehension_flow():
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x = [y for y in [SOURCE]]
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SINK(x[0])
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def test_list_comprehension_inflow():
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l = [SOURCE]
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x = [y for y in l]
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SINK(x[0])
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def test_nested_list_display():
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x = [* [SOURCE]]
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SINK(x[0]) # Flow missing
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# 6.2.6. Set displays
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def test_set_display():
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x = {SOURCE}
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SINK(x.pop())
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def test_set_comprehension():
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x = {SOURCE for y in [NONSOURCE]}
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SINK(x.pop())
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def test_set_comprehension_flow():
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x = {y for y in [SOURCE]}
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SINK(x.pop())
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def test_set_comprehension_inflow():
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l = {SOURCE}
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x = {y for y in l}
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SINK(x.pop())
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def test_nested_set_display():
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x = {* {SOURCE}}
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SINK(x.pop()) # Flow missing
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# 6.2.7. Dictionary displays
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def test_dict_display():
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x = {"s": SOURCE}
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SINK(x["s"])
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def test_dict_display_pop():
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x = {"s": SOURCE}
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SINK(x.pop("s"))
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def test_dict_comprehension():
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x = {y: SOURCE for y in ["s"]}
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SINK(x["s"]) # Flow missing
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def test_dict_comprehension_pop():
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x = {y: SOURCE for y in ["s"]}
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SINK(x.pop("s")) # Flow missing
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def test_nested_dict_display():
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x = {** {"s": SOURCE}}
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SINK(x["s"]) # Flow missing
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def test_nested_dict_display_pop():
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x = {** {"s": SOURCE}}
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SINK(x.pop("s")) # Flow missing
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# Nested comprehensions
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def test_nested_comprehension():
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x = [y for z in [[SOURCE]] for y in z]
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SINK(x[0]) # Flow missing
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def test_nested_comprehension_deep_with_local_flow():
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x = [y for v in [[[[SOURCE]]]] for u in v for z in u for y in z]
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SINK(x[0]) # Flow missing
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def test_nested_comprehension_dict():
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d = {"s": [SOURCE]}
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x = [y for k, v in d.items() for y in v]
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SINK(x[0]) # Flow missing
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def test_nested_comprehension_paren():
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x = [y for y in (z for z in [SOURCE])]
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SINK(x[0]) # Flow missing
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# 6.2.8. Generator expressions
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def test_generator():
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x = (SOURCE for y in [NONSOURCE])
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SINK([*x][0]) # Flow missing
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# 6.2.9. Yield expressions
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def gen(x):
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yield x
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def test_yield():
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g = gen(SOURCE)
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SINK(next(g)) # Flow missing
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def gen_from(x):
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yield from gen(x)
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def test_yield_from():
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g = gen_from(SOURCE)
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SINK(next(g)) # Flow missing
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# a statement rather than an expression, but related to generators
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def test_for():
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for x in gen(SOURCE):
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SINK(x) # Flow missing
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# 6.2.9.1. Generator-iterator methods
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def test___next__():
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g = gen(SOURCE)
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SINK(g.__next__()) # Flow missing
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def gen2(x):
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# argument of `send` has to flow to value of `yield x` (and so to `m`)
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m = yield x
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yield m
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def test_send():
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g = gen2(NONSOURCE)
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n = next(g)
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SINK(g.send(SOURCE)) # Flow missing
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def gen_ex(x):
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try:
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yield NONSOURCE
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except:
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yield x # `x` has to flow to call to `throw`
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def test_throw():
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g = gen_ex(SOURCE)
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n = next(g)
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SINK(g.throw(TypeError)) # Flow missing
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# no `test_close` as `close` involves no data flow
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# 6.2.9.3. Asynchronous generator functions
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async def agen(x):
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yield x
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# 6.2.9.4. Asynchronous generator-iterator methods
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# helper to run async test functions
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def runa(a):
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import asyncio
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asyncio.run(a)
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async def atest___anext__():
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g = agen(SOURCE)
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SINK(await g.__anext__()) # Flow missing
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def test___anext__():
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runa(atest___anext__())
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async def agen2(x):
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# argument of `send` has to flow to value of `yield x` (and so to `m`)
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m = yield x
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yield m
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async def atest_asend():
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g = agen2(NONSOURCE)
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n = await g.__anext__()
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SINK(await g.asend(SOURCE)) # Flow missing
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def test_asend():
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runa(atest_asend())
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async def agen_ex(x):
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try:
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yield NONSOURCE
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except:
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yield x # `x` has to flow to call to `athrow`
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async def atest_athrow():
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g = agen_ex(SOURCE)
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n = await g.__anext__()
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SINK(await g.athrow(TypeError)) # Flow missing
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def test_athrow():
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runa(atest_athrow())
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# 6.3.1. Attribute references
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class C:
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a = SOURCE
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def test_attribute_reference():
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SINK(C.a) # Flow missing
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# overriding __getattr__ should be tested by the class coverage tests
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# 6.3.2. Subscriptions
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def test_subscription_tuple():
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SINK((SOURCE,)[0])
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def test_subscription_list():
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SINK([SOURCE][0])
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def test_subscription_mapping():
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SINK({"s": SOURCE}["s"])
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# overriding __getitem__ should be tested by the class coverage tests
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# 6.3.3. Slicings
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l = [SOURCE]
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def test_slicing():
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s = l[0:1:1]
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SINK(s[0]) # Flow missing
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# The grammar seems to allow `l[0:1:1, 0:1]`, but the interpreter does not like it
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# 6.3.4. Calls
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def second(a, b):
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return b
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def test_call_positional():
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SINK(second(NONSOURCE, SOURCE))
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def test_call_positional_negative():
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SINK_F(second(SOURCE, NONSOURCE))
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def test_call_keyword():
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SINK(second(NONSOURCE, b=SOURCE)) # Flow missing
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def test_call_unpack_iterable():
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SINK(second(NONSOURCE, *[SOURCE])) # Flow missing
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def test_call_unpack_mapping():
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SINK(second(NONSOURCE, **{"b": SOURCE})) # Flow missing
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def f_extra_pos(a, *b):
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return b[0]
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def test_call_extra_pos():
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SINK(f_extra_pos(NONSOURCE, SOURCE)) # Flow missing
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def f_extra_keyword(a, **b):
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return b["b"]
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def test_call_extra_keyword():
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SINK(f_extra_keyword(NONSOURCE, b=SOURCE)) # Flow missing
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# return the name of the first extra keyword argument
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def f_extra_keyword_flow(**a):
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return [*a][0]
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# call the function with our source as the name of the keyword arguemnt
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def test_call_extra_keyword_flow():
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SINK(f_extra_keyword_flow(**{SOURCE: None})) # Flow missing
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# 6.12. Assignment expressions
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def test_assignment_expression():
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x = NONSOURCE
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SINK(x := SOURCE) # Flow missing
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# 6.13. Conditional expressions
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def test_conditional_true():
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SINK(SOURCE if True else NONSOURCE) # Flow missing
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def test_conditional_false():
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SINK(NONSOURCE if False else SOURCE) # Flow missing
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# Condition is evaluated first, so x is SOURCE once chosen
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def test_conditional_evaluation_true():
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x = NONSOURCE
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SINK(x if (SOURCE == (x := SOURCE)) else NONSOURCE) # Flow missing
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# Condition is evaluated first, so x is SOURCE once chosen
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def test_conditional_evaluation_false():
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x = NONSOURCE
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SINK(NONSOURCE if (NONSOURCE == (x := SOURCE)) else x) # Flow missing
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# 6.14. Lambdas
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def test_lambda():
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def f(x): return x
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SINK(f(SOURCE))
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def test_lambda_positional():
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def second(a, b): return b
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SINK(second(NONSOURCE, SOURCE))
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def test_lambda_positional_negative():
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def second(a, b): return b
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SINK_F(second(SOURCE, NONSOURCE))
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def test_lambda_keyword():
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def second(a, b): return b
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SINK(second(NONSOURCE, b=SOURCE)) # Flow missing
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def test_lambda_unpack_iterable():
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def second(a, b): return b
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SINK(second(NONSOURCE, *[SOURCE])) # Flow missing
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def test_lambda_unpack_mapping():
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def second(a, b): return b
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SINK(second(NONSOURCE, **{"b": SOURCE})) # Flow missing
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def test_lambda_extra_pos():
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f_extra_pos = lambda a, *b: b[0]
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SINK(f_extra_pos(NONSOURCE, SOURCE)) # Flow missing
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def test_lambda_extra_keyword():
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f_extra_keyword = lambda a, **b: b["b"]
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SINK(f_extra_keyword(NONSOURCE, b=SOURCE)) # Flow missing
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# call the function with our source as the name of the keyword arguemnt
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def test_lambda_extra_keyword_flow():
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# return the name of the first extra keyword argument
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f_extra_keyword_flow = lambda **a: [*a][0]
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SINK(f_extra_keyword_flow(**{SOURCE: None})) # Flow missing
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