2010-10-14 07:25:09 +08:00
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2011-03-04 06:40:38 +08:00
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The writing and reporting of assertions in tests
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==================================================
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2010-10-14 07:25:09 +08:00
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2010-11-25 19:11:10 +08:00
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.. _`assert with the assert statement`:
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2010-10-14 07:25:09 +08:00
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assert with the ``assert`` statement
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---------------------------------------------------------
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2011-03-04 06:40:38 +08:00
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``py.test`` allows you to use the standard python ``assert`` for verifying
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2010-10-14 07:25:09 +08:00
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expectations and values in Python tests. For example, you can write the
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2011-03-04 06:40:38 +08:00
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following::
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2010-10-14 07:25:09 +08:00
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# content of test_assert1.py
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def f():
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return 3
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def test_function():
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assert f() == 4
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2011-05-28 01:30:27 +08:00
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to assert that your function returns a certain value. If this assertion fails
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you will see the value of ``x``::
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2010-10-14 07:25:09 +08:00
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$ py.test test_assert1.py
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=========================== test session starts ============================
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2011-05-01 18:38:56 +08:00
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platform linux2 -- Python 2.6.6 -- pytest-2.0.3
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2010-11-26 20:26:56 +08:00
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collecting ... collected 1 items
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2010-10-14 07:25:09 +08:00
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test_assert1.py F
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2010-11-26 20:26:56 +08:00
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2010-10-14 07:25:09 +08:00
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================================= FAILURES =================================
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______________________________ test_function _______________________________
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2010-11-26 20:26:56 +08:00
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2010-10-14 07:25:09 +08:00
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def test_function():
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> assert f() == 4
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E assert 3 == 4
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E + where 3 = f()
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2010-11-26 20:26:56 +08:00
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2010-10-14 07:25:09 +08:00
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test_assert1.py:5: AssertionError
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2011-05-01 18:38:56 +08:00
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========================= 1 failed in 0.02 seconds =========================
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2010-10-14 07:25:09 +08:00
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2011-05-28 01:30:27 +08:00
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py.test has support for showing the values of the most common subexpressions
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including calls, attributes, comparisons, and binary and unary operators. This
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allows you to use the idiomatic python constructs without boilerplate code while
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not losing debugging information.
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See :ref:`assert-details` for more information on assertion debugging.
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2011-03-04 06:40:38 +08:00
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2010-10-14 07:25:09 +08:00
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assertions about expected exceptions
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------------------------------------------
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In order to write assertions about raised exceptions, you can use
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2010-11-18 05:12:16 +08:00
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``pytest.raises`` as a context manager like this::
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2010-10-14 07:25:09 +08:00
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2011-03-04 06:40:38 +08:00
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import pytest
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2010-11-18 05:12:16 +08:00
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with pytest.raises(ZeroDivisionError):
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2010-10-14 07:25:09 +08:00
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1 / 0
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and if you need to have access to the actual exception info you may use::
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2010-11-18 05:12:16 +08:00
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with pytest.raises(RuntimeError) as excinfo:
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2010-10-14 07:25:09 +08:00
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def f():
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f()
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f()
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# do checks related to excinfo.type, excinfo.value, excinfo.traceback
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If you want to write test code that works on Python2.4 as well,
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you may also use two other ways to test for an expected exception::
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2010-11-18 05:12:16 +08:00
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pytest.raises(ExpectedException, func, *args, **kwargs)
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pytest.raises(ExpectedException, "func(*args, **kwargs)")
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2010-10-14 07:25:09 +08:00
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both of which execute the specified function with args and kwargs and
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asserts that the given ``ExpectedException`` is raised. The reporter will
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provide you with helpful output in case of failures such as *no
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exception* or *wrong exception*.
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2010-11-26 03:06:42 +08:00
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.. _newreport:
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2010-10-14 07:25:09 +08:00
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Making use of context-sensitive comparisons
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-------------------------------------------------
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.. versionadded:: 2.0
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2011-02-17 21:46:40 +08:00
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py.test has rich support for providing context-sensitive information
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2010-10-14 07:25:09 +08:00
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when it encounters comparisons. For example::
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# content of test_assert2.py
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def test_set_comparison():
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set1 = set("1308")
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set2 = set("8035")
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assert set1 == set2
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if you run this module::
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$ py.test test_assert2.py
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=========================== test session starts ============================
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2011-05-01 18:38:56 +08:00
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platform linux2 -- Python 2.6.6 -- pytest-2.0.3
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2010-11-26 20:26:56 +08:00
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collecting ... collected 1 items
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2010-10-14 07:25:09 +08:00
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test_assert2.py F
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2010-11-26 20:26:56 +08:00
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2010-10-14 07:25:09 +08:00
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================================= FAILURES =================================
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___________________________ test_set_comparison ____________________________
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2010-10-14 07:25:09 +08:00
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def test_set_comparison():
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set1 = set("1308")
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set2 = set("8035")
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> assert set1 == set2
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E assert set(['0', '1', '3', '8']) == set(['0', '3', '5', '8'])
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E Extra items in the left set:
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E '1'
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E Extra items in the right set:
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E '5'
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2010-11-26 20:26:56 +08:00
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2010-10-14 07:25:09 +08:00
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test_assert2.py:5: AssertionError
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2011-05-01 18:38:56 +08:00
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========================= 1 failed in 0.03 seconds =========================
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2010-10-14 07:25:09 +08:00
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Special comparisons are done for a number of cases:
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* comparing long strings: a context diff is shown
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* comparing long sequences: first failing indices
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* comparing dicts: different entries
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2010-11-26 03:06:42 +08:00
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See the :ref:`reporting demo <tbreportdemo>` for many more examples.
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2010-11-25 20:00:01 +08:00
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2011-05-27 10:08:55 +08:00
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2011-05-28 01:30:27 +08:00
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.. _assert-details:
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2011-05-27 10:08:55 +08:00
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Assertion debugging details
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---------------------------
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Reporting details about the failing assertion is achieved either by rewriting
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assert statements before they are run or re-evaluating the assert expression and
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recording the intermediate values. Which technique is used depends on the
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location of the assert, py.test's configuration, and Python version being used
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to run py.test.
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By default, if the Python version is greater than or equal to 2.6, py.test
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rewrites assert statements in test modules. Rewritten assert statements put
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debugging information into the assertion failure message. Note py.test only
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rewrites test modules directly discovered by its test collection process, so
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asserts in supporting modules will not be rewritten.
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If an assert statement has not been rewritten or the Python version is less than
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2.6, py.test falls back on assert reinterpretation. In assert reinterpretation,
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py.test walks the frame of the function containing the assert statement to
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discover sub-expression results of the failing assert statement. You can force
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py.test to always use assertion reinterpretation by passing the
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``--assertmode=old`` option.
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Assert reinterpretation has a caveat not present with assert rewriting: If
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evaluating the assert expression has side effects you may get a warning that the
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intermediate values could not be determined safely. A common example of this
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issue is an assertion which reads from a file::
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assert f.read() != '...'
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If this assertion fails then the re-evaluation will probably succeed!
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This is because ``f.read()`` will return an empty string when it is
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called the second time during the re-evaluation. However, it is
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easy to rewrite the assertion and avoid any trouble::
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content = f.read()
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assert content != '...'
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All assert debugging can be turned off by passing ``--assertmode=off``.
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2011-05-27 12:13:39 +08:00
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.. versionadded:: 2.1
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Add assert rewriting as an alternate debugging technique.
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.. versionchanged:: 2.1
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Introduce the ``--assertmode`` option. Deprecate ``--no-assert`` and
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``--nomagic``.
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2010-11-18 05:12:16 +08:00
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..
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2010-10-14 07:25:09 +08:00
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Defining your own comparison
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----------------------------------------------
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