Merge pull request #2587 from nicoddemus/remove-impl-file
Remove _pytest/impl file
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Ronny Pfannschmidt
GitHub
commit
0e559c978f
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_pytest/impl
254
_pytest/impl
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Sorting per-resource
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-----------------------------
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for any given set of items:
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- collect items per session-scoped parametrized funcarg
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- re-order until items no parametrizations are mixed
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examples:
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test()
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test1(s1)
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test1(s2)
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test2()
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test3(s1)
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test3(s2)
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gets sorted to:
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test()
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test2()
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test1(s1)
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test3(s1)
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test1(s2)
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test3(s2)
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the new @setup functions
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--------------------------------------
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Consider a given @setup-marked function::
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@pytest.mark.setup(maxscope=SCOPE)
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def mysetup(request, arg1, arg2, ...)
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...
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request.addfinalizer(fin)
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...
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then FUNCARGSET denotes the set of (arg1, arg2, ...) funcargs and
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all of its dependent funcargs. The mysetup function will execute
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for any matching test item once per scope.
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The scope is determined as the minimum scope of all scopes of the args
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in FUNCARGSET and the given "maxscope".
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If mysetup has been called and no finalizers have been called it is
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called "active".
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Furthermore the following rules apply:
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- if an arg value in FUNCARGSET is about to be torn down, the
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mysetup-registered finalizers will execute as well.
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- There will never be two active mysetup invocations.
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Example 1, session scope::
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@pytest.mark.funcarg(scope="session", params=[1,2])
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def db(request):
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request.addfinalizer(db_finalize)
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@pytest.mark.setup
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def mysetup(request, db):
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request.addfinalizer(mysetup_finalize)
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...
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And a given test module:
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def test_something():
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...
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def test_otherthing():
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pass
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Here is what happens::
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db(request) executes with request.param == 1
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mysetup(request, db) executes
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test_something() executes
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test_otherthing() executes
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mysetup_finalize() executes
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db_finalize() executes
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db(request) executes with request.param == 2
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mysetup(request, db) executes
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test_something() executes
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test_otherthing() executes
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mysetup_finalize() executes
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db_finalize() executes
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Example 2, session/function scope::
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@pytest.mark.funcarg(scope="session", params=[1,2])
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def db(request):
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request.addfinalizer(db_finalize)
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@pytest.mark.setup(scope="function")
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def mysetup(request, db):
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...
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request.addfinalizer(mysetup_finalize)
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...
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And a given test module:
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def test_something():
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...
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def test_otherthing():
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pass
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Here is what happens::
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db(request) executes with request.param == 1
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mysetup(request, db) executes
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test_something() executes
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mysetup_finalize() executes
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mysetup(request, db) executes
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test_otherthing() executes
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mysetup_finalize() executes
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db_finalize() executes
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db(request) executes with request.param == 2
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mysetup(request, db) executes
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test_something() executes
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mysetup_finalize() executes
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mysetup(request, db) executes
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test_otherthing() executes
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mysetup_finalize() executes
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db_finalize() executes
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Example 3 - funcargs session-mix
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----------------------------------------
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Similar with funcargs, an example::
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@pytest.mark.funcarg(scope="session", params=[1,2])
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def db(request):
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request.addfinalizer(db_finalize)
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@pytest.mark.funcarg(scope="function")
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def table(request, db):
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...
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request.addfinalizer(table_finalize)
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...
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And a given test module:
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def test_something(table):
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...
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def test_otherthing(table):
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pass
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def test_thirdthing():
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pass
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Here is what happens::
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db(request) executes with param == 1
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table(request, db)
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test_something(table)
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table_finalize()
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table(request, db)
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test_otherthing(table)
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table_finalize()
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db_finalize
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db(request) executes with param == 2
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table(request, db)
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test_something(table)
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table_finalize()
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table(request, db)
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test_otherthing(table)
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table_finalize()
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db_finalize
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test_thirdthing()
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Data structures
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--------------------
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pytest internally maintains a dict of active funcargs with cache, param,
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finalizer, (scopeitem?) information:
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active_funcargs = dict()
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if a parametrized "db" is activated:
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active_funcargs["db"] = FuncargInfo(dbvalue, paramindex,
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FuncargFinalize(...), scopeitem)
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if a test is torn down and the next test requires a differently
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parametrized "db":
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for argname in item.callspec.params:
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if argname in active_funcargs:
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funcarginfo = active_funcargs[argname]
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if funcarginfo.param != item.callspec.params[argname]:
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funcarginfo.callfinalizer()
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del node2funcarg[funcarginfo.scopeitem]
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del active_funcargs[argname]
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nodes_to_be_torn_down = ...
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for node in nodes_to_be_torn_down:
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if node in node2funcarg:
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argname = node2funcarg[node]
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active_funcargs[argname].callfinalizer()
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del node2funcarg[node]
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del active_funcargs[argname]
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if a test is setup requiring a "db" funcarg:
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if "db" in active_funcargs:
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return active_funcargs["db"][0]
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funcarginfo = setup_funcarg()
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active_funcargs["db"] = funcarginfo
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node2funcarg[funcarginfo.scopeitem] = "db"
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Implementation plan for resources
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------------------------------------------
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1. Revert FuncargRequest to the old form, unmerge item/request
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(done)
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2. make funcarg factories be discovered at collection time
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3. Introduce funcarg marker
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4. Introduce funcarg scope parameter
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5. Introduce funcarg parametrize parameter
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6. make setup functions be discovered at collection time
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7. (Introduce a pytest_fixture_protocol/setup_funcargs hook)
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methods and data structures
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--------------------------------
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A FuncarcManager holds all information about funcarg definitions
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including parametrization and scope definitions. It implements
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a pytest_generate_tests hook which performs parametrization as appropriate.
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as a simple example, let's consider a tree where a test function requires
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a "abc" funcarg and its factory defines it as parametrized and scoped
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for Modules. When collections hits the function item, it creates
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the metafunc object, and calls funcargdb.pytest_generate_tests(metafunc)
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which looks up available funcarg factories and their scope and parametrization.
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This information is equivalent to what can be provided today directly
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at the function site and it should thus be relatively straight forward
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to implement the additional way of defining parametrization/scoping.
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conftest loading:
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each funcarg-factory will populate the session.funcargmanager
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When a test item is collected, it grows a dictionary
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(funcargname2factorycalllist). A factory lookup is performed
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for each required funcarg. The resulting factory call is stored
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with the item. If a function is parametrized multiple items are
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created with respective factory calls. Else if a factory is parametrized
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multiple items and calls to the factory function are created as well.
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At setup time, an item populates a funcargs mapping, mapping names
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to values. If a value is funcarg factories are queried for a given item
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test functions and setup functions are put in a class
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which looks up required funcarg factories.
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