Occasional Corrupted Stack Frame in py-spy raw output

[rafaelha]

It happens rarely - but sometimes py-spy will produce stack traces where a single frame is incorrect. Here, instead of the usual form function (path:line number), a doctoring is somehow inserted.

I have pasted an example below case below.

It's not a big issue - usually rerunning the profiler will give clean stack traces again. But I'm curious what could be happening here.

This is on py-spy 0.4.0 and MacOs.

process 43739:"/opt/local/Library/Frameworks/Python.framework/Versions/3.10/Resources/Python.app/Contents/MacOS/Python /path/to/file/bloqade-circuit/test/qasm2/emit/test_qasm2.py";<module> (/path/to/file/bloqade-circuit/test/qasm2/emit/test_qasm2.py:1);_handle_fromlist (<frozen importlib._bootstrap>:1078);_call_with_frames_removed (<frozen importlib._bootstrap>:241);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/src/bloqade/qasm2/__init__.py:3);_handle_fromlist (<frozen importlib._bootstrap>:1078);_call_with_frames_removed (<frozen importlib._bootstrap>:241);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen 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importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/src/bloqade/qasm2/passes/__init__.py:1);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/src/bloqade/qasm2/passes/fold.py:24);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/src/bloqade/qasm2/dialects/__init__.py:1);_handle_fromlist (<frozen importlib._bootstrap>:1078);_call_with_frames_removed (<frozen 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(/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/cirq/__init__.py:19);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/cirq/_compat.py:31);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/pandas/__init__.py:49);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/pandas/core/api.py:47);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/pandas/core/groupby/__init__.py:1);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/pandas/core/groupby/generic.py:73);_find_and_load (<frozen importlib._bootstrap>:1027);_find_and_load_unlocked (<frozen importlib._bootstrap>:1006);_load_unlocked (<frozen importlib._bootstrap>:688);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);<module> (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/pandas/core/groupby/groupby.py:764);_find_and_load (<frozen importlib._bootstrap>:1024);_find_and_load_unlocked (<frozen importlib._bootstrap>:1016);_load_unlocked (<frozen importlib._bootstrap>:703);exec_module (<frozen importlib._bootstrap_external>:883);_call_with_frames_removed (<frozen importlib._bootstrap>:241);
    >>> s = pd.Series([0, 1, 2], index='a a b'.split())
    >>> g1 = s.groupby(s.index, group_keys=False)
    >>> g2 = s.groupby(s.index, group_keys=True)

    From ``s`` above we can see that ``g`` has two groups, ``a`` and ``b``.
    Notice that ``g1`` have ``g2`` have two groups, ``a`` and ``b``, and only
    differ in their ``group_keys`` argument. Calling `apply` in various ways,
    we can get different grouping results:

    Example 1: The function passed to `apply` takes a Series as
    its argument and returns a Series.  `apply` combines the result for
    each group together into a new Series.

    .. versionchanged:: 1.3.0

        The resulting dtype will reflect the return value of the passed ``func``.

    >>> g1.apply(lambda x: x * 2 if x.name == 'a' else x / 2)
    a    0.0
    a    2.0
    b    1.0
    dtype: float64

    In the above, the groups are not part of the index. We can have them included
    by using ``g2`` where ``group_keys=True``:

    >>> g2.apply(lambda x: x * 2 if x.name == 'a' else x / 2)
    a  a    0.0
       a    2.0
    b  b    1.0
    dtype: float64

    Example 2: The function passed to `apply` takes a Series as
    its argument and returns a scalar. `apply` combines the result for
    each group together into a Series, including setting the index as
    appropriate:

    >>> g1.apply(lambda x: x.max() - x.min())
    a    1
    b    0
    dtype: int64

    The ``group_keys`` argument has no effect here because the result is not
    like-indexed (i.e. :ref:`a transform <groupby.transform>`) when compared
    to the input.

    >>> g2.apply(lambda x: x.max() - x.min())
    a    1
    b    0
    dtype: int64 (series_examples);decorator (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/pandas/util/_decorators.py:399);<listcomp> (/path/to/file/bloqade-circuit/.venv/lib/python3.10/site-packages/pandas/util/_decorators.py:387);dedent (/opt/local/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/textwrap.py:470);sub (/opt/local/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/re.py:209) 1
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