gurudesh/pytracebugs huggingface dataset:
# Buggy code
def _spark_col_apply(kdf_or_ks, sfun):
    """
    Performs a function to all cells on a dataframe, the function being a known sql function.
    """
    from databricks.koalas.frame import DataFrame
    from databricks.koalas.series import Series

    if isinstance(kdf_or_ks, Series):
        ks = kdf_or_ks
        return Series(
            ks._kdf._internal.copy(scol=sfun(kdf_or_ks._scol)), anchor=ks._kdf
        )
    assert isinstance(kdf_or_ks, DataFrame)
    kdf = kdf_or_ks
    sdf = kdf._sdf
    sdf = sdf.select([sfun(sdf[col]).alias(col) for col in kdf.columns])
    return DataFrame(sdf)


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def _spark_col_apply(kdf_or_ks, sfun):
    """
    Performs a function to all cells on a dataframe, the function being a known sql function.
    """
    from databricks.koalas.frame import DataFrame
    from databricks.koalas.series import Series

    if isinstance(kdf_or_ks, Series):
        ks = kdf_or_ks
        return Series(
            ks._kdf._internal.copy(scol=sfun(kdf_or_ks._scol)), anchor=ks._kdf
        )
    assert isinstance(kdf_or_ks, DataFrame)
    kdf = kdf_or_ks
    sdf = kdf._sdf
    sdf = sdf.select(
        [sfun(kdf._internal.scol_for(col)).alias(col) for col in kdf.columns]
    )
    return DataFrame(sdf)
# Buggy code
def __init__(self, kdf: DataFrame, scol: Optional[spark.Column] = None) -> None:
    assert len(kdf._internal._index_map) == 1
    if scol is None:
        IndexOpsMixin.__init__(
            self, kdf._internal.copy(scol=kdf._sdf[kdf._internal.index_columns[0]]), kdf
        )
    else:
        IndexOpsMixin.__init__(self, kdf._internal.copy(scol=scol), kdf)


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def __init__(self, kdf: DataFrame, scol: Optional[spark.Column] = None) -> None:
    assert len(kdf._internal._index_map) == 1
    if scol is None:
        IndexOpsMixin.__init__(
            self, kdf._internal.copy(scol=kdf._internal.index_scols[0]), kdf
        )
    else:
        IndexOpsMixin.__init__(self, kdf._internal.copy(scol=scol), kdf)
# Buggy code
def __init__(self, kdf: DataFrame, scol: Optional[spark.Column] = None):
    assert len(kdf._internal._index_map) > 1
    self._kdf = kdf
    if scol is None:
        IndexOpsMixin.__init__(
            self, kdf._internal.copy(scol=F.struct(self._columns)), kdf
        )
    else:
        IndexOpsMixin.__init__(self, kdf._internal.copy(scol=scol), kdf)


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def __init__(self, kdf: DataFrame, scol: Optional[spark.Column] = None):
    assert len(kdf._internal._index_map) > 1
    self._kdf = kdf
    if scol is None:
        IndexOpsMixin.__init__(
            self,
            kdf._internal.copy(scol=F.struct(self._kdf._internal.index_scols)),
            kdf,
        )
    else:
        IndexOpsMixin.__init__(self, kdf._internal.copy(scol=scol), kdf)
# Buggy code
def _make_col(c):
    from databricks.koalas.series import Series

    if isinstance(c, Series):
        return c._scol
    elif isinstance(c, str):
        return F.col(c)
    else:
        raise SparkPandasNotImplementedError(
            description="Can only convert a string to a column type."
        )


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def _make_col(c):
    from databricks.koalas.series import Series

    if isinstance(c, Series):
        return c._scol
    elif isinstance(c, str):
        return F.col("`{}`".format(c))
    else:
        raise SparkPandasNotImplementedError(
            description="Can only convert a string to a column type."
        )
# Buggy code
def spark_df(self) -> spark.DataFrame:
    """Return as Spark DataFrame."""
    if self._scol is None:
        sdf = self._sdf
    else:
        sdf = self._sdf.select(self.index_columns + [self._scol])
    return sdf.select(["`{}`".format(name) for name in self.columns])


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def spark_df(self) -> spark.DataFrame:
    """Return as Spark DataFrame."""
    return self._sdf.select(self.scols)
# Buggy code
def predict(self, data):
    """
    Returns a prediction on the data.

    If the data is a koalas DataFrame, the return is a Koalas Series.

    If the data is a pandas Dataframe, the return is the expected output of the underlying
    pyfunc object (typically a pandas Series or a numpy array).
    """
    if isinstance(data, pd.DataFrame):
        return self._model.predict(data)
    if isinstance(data, DataFrame):
        cols = [data._sdf[n] for n in data.columns]
        return_col = self._model_udf(*cols)
        # TODO: the columns should be named according to the mlflow spec
        # However, this is only possible with spark >= 3.0
        # s = F.struct(*data.columns)
        # return_col = self._model_udf(s)
        return Series(data._internal.copy(scol=return_col), anchor=data)


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def predict(self, data):
    """
    Returns a prediction on the data.

    If the data is a koalas DataFrame, the return is a Koalas Series.

    If the data is a pandas Dataframe, the return is the expected output of the underlying
    pyfunc object (typically a pandas Series or a numpy array).
    """
    if isinstance(data, pd.DataFrame):
        return self._model.predict(data)
    if isinstance(data, DataFrame):
        return_col = self._model_udf(*data._internal.data_scols)
        # TODO: the columns should be named according to the mlflow spec
        # However, this is only possible with spark >= 3.0
        # s = F.struct(*data.columns)
        # return_col = self._model_udf(s)
        return Series(data._internal.copy(scol=return_col), anchor=data)
# Buggy code
def get_fliers(self, outliers):
    # Filters only the outliers, should "showfliers" be True
    fliers_df = outliers.filter("__{}_outlier".format(self.colname))

    # If shows fliers, takes the top 1k with highest absolute values
    fliers = (
        fliers_df.select(F.abs(F.col(self.colname)).alias(self.colname))
        .orderBy(F.desc(self.colname))
        .limit(1001)
        .toPandas()[self.colname]
        .values
    )

    return fliers


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def get_fliers(self, outliers):
    # Filters only the outliers, should "showfliers" be True
    fliers_df = outliers.filter("__{}_outlier".format(self.colname))

    # If shows fliers, takes the top 1k with highest absolute values
    fliers = (
        fliers_df.select(F.abs(F.col("`{}`".format(self.colname))).alias(self.colname))
        .orderBy(F.desc("`{}`".format(self.colname)))
        .limit(1001)
        .toPandas()[self.colname]
        .values
    )

    return fliers
# Buggy code
def __init__(
    self,
    data=None,
    index=None,
    dtype=None,
    name=None,
    copy=False,
    fastpath=False,
    anchor=None,
):
    if isinstance(data, _InternalFrame):
        assert dtype is None
        assert name is None
        assert not copy
        assert not fastpath
        IndexOpsMixin.__init__(self, data, anchor)
    else:
        if isinstance(data, pd.Series):
            assert index is None
            assert dtype is None
            assert name is None
            assert not copy
            assert anchor is None
            assert not fastpath
            s = data
        else:
            s = pd.Series(
                data=data,
                index=index,
                dtype=dtype,
                name=name,
                copy=copy,
                fastpath=fastpath,
            )
        kdf = DataFrame(s)
        IndexOpsMixin.__init__(
            self,
            kdf._internal.copy(scol=kdf._internal._sdf[kdf._internal.data_columns[0]]),
            kdf,
        )


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def __init__(
    self,
    data=None,
    index=None,
    dtype=None,
    name=None,
    copy=False,
    fastpath=False,
    anchor=None,
):
    if isinstance(data, _InternalFrame):
        assert dtype is None
        assert name is None
        assert not copy
        assert not fastpath
        IndexOpsMixin.__init__(self, data, anchor)
    else:
        if isinstance(data, pd.Series):
            assert index is None
            assert dtype is None
            assert name is None
            assert not copy
            assert anchor is None
            assert not fastpath
            s = data
        else:
            s = pd.Series(
                data=data,
                index=index,
                dtype=dtype,
                name=name,
                copy=copy,
                fastpath=fastpath,
            )
        kdf = DataFrame(s)
        IndexOpsMixin.__init__(
            self, kdf._internal.copy(scol=kdf._internal.data_scols[0]), kdf
        )
# Buggy code
def round(self, decimals=0):
    """
    Round each value in a Series to the given number of decimals.

    Parameters
    ----------
    decimals : int
        Number of decimal places to round to (default: 0).
        If decimals is negative, it specifies the number of
        positions to the left of the decimal point.

    Returns
    -------
    Series object

    See Also
    --------
    DataFrame.round

    Examples
    --------
    >>> df = ks.Series([0.028208, 0.038683, 0.877076], name='x')
    >>> df
    0    0.028208
    1    0.038683
    2    0.877076
    Name: x, dtype: float64

    >>> df.round(2)
    0    0.03
    1    0.04
    2    0.88
    Name: x, dtype: float64
    """
    if not isinstance(decimals, int):
        raise ValueError("decimals must be an integer")
    column_name = self.name
    scol = F.round(F.col(column_name), decimals)
    return Series(self._kdf._internal.copy(scol=scol), anchor=self._kdf).rename(
        column_name
    )


# Traceback (KeyError)
df = ks.read_parquet("/mnt/ivan/sample.parquet")
df['a.b']

# KeyError: 'a.b'
# ---------------------------------------------------------------------------
# KeyError                                  Traceback (most recent call last)
# <command-3188040896828876> in <module>()
#       1 df = ks.read_parquet("/mnt/ivan/sample.parquet")
# ----> 2 df['a.b']
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in __getitem__(self, key)
#     448
#     449     def __getitem__(self, key):
# --> 450         return self._pd_getitem(key)
#     451
#     452     def __setitem__(self, key, value):
#
# /databricks/python/lib/python3.5/site-packages/databricks/koalas/frame.py in _pd_getitem(self, key)
#     427                 return Series(self._sdf.__getitem__(key), self, self._metadata.index_info)
#     428             except AnalysisException:
# --> 429                 raise KeyError(key)
#     430         if np.isscalar(key) or isinstance(key, (tuple, string_types)):
#     431             raise NotImplementedError(key)
#
# KeyError: 'a.b'

# Fixed code
def round(self, decimals=0):
    """
    Round each value in a Series to the given number of decimals.

    Parameters
    ----------
    decimals : int
        Number of decimal places to round to (default: 0).
        If decimals is negative, it specifies the number of
        positions to the left of the decimal point.

    Returns
    -------
    Series object

    See Also
    --------
    DataFrame.round

    Examples
    --------
    >>> df = ks.Series([0.028208, 0.038683, 0.877076], name='x')
    >>> df
    0    0.028208
    1    0.038683
    2    0.877076
    Name: x, dtype: float64

    >>> df.round(2)
    0    0.03
    1    0.04
    2    0.88
    Name: x, dtype: float64
    """
    if not isinstance(decimals, int):
        raise ValueError("decimals must be an integer")
    column_name = self.name
    scol = F.round(self._scol, decimals)
    return Series(self._kdf._internal.copy(scol=scol), anchor=self._kdf).rename(
        column_name
    )
# Buggy code
def import_object(self, raiseerror: bool = False) -> bool:
    """Import the object given by *self.modname* and *self.objpath* and set
    it as *self.object*.

    Returns True if successful, False if an error occurred.
    """
    with mock(self.config.autodoc_mock_imports):
        try:
            ret = import_object(
                self.modname,
                self.objpath,
                self.objtype,
                attrgetter=self.get_attr,
                warningiserror=self.config.autodoc_warningiserror,
            )
            self.module, self.parent, self.object_name, self.object = ret
            return True
        except ImportError as exc:
            if raiseerror:
                raise
            else:
                logger.warning(exc.args[0], type="autodoc", subtype="import_object")
                self.env.note_reread()
                return False


# Traceback (TypeError)
WARNING: autodoc: failed to import module 'bar' from module 'foo'; the following exception was raised:
Traceback (most recent call last):
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib/python3.7/site-packages/sphinx/ext/autodoc/importer.py", line 66, in import_module
return importlib.import_module(modname)
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib64/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/opt/projects/sphinx_decorator_bug/foo/bar.py", line 29, in <module>
@mocked_module.decorator2(BaseClass)
TypeError: __init__() takes 1 positional argument but 2 were given

# Fixed code
def import_object(self, raiseerror: bool = False) -> bool:
    """Import the object given by *self.modname* and *self.objpath* and set
    it as *self.object*.

    Returns True if successful, False if an error occurred.
    """
    with mock(self.config.autodoc_mock_imports):
        try:
            ret = import_object(
                self.modname,
                self.objpath,
                self.objtype,
                attrgetter=self.get_attr,
                warningiserror=self.config.autodoc_warningiserror,
            )
            self.module, self.parent, self.object_name, self.object = ret
            if ismock(self.object):
                self.object = undecorate(self.object)
            return True
        except ImportError as exc:
            if raiseerror:
                raise
            else:
                logger.warning(exc.args[0], type="autodoc", subtype="import_object")
                self.env.note_reread()
                return False
# Buggy code
def get_module_members(self) -> Dict[str, ObjectMember]:
    """Get members of target module."""
    if self.analyzer:
        attr_docs = self.analyzer.attr_docs
    else:
        attr_docs = {}

    members = {}  # type: Dict[str, ObjectMember]
    for name in dir(self.object):
        try:
            value = safe_getattr(self.object, name, None)
            docstring = attr_docs.get(("", name), [])
            members[name] = ObjectMember(name, value, docstring="\n".join(docstring))
        except AttributeError:
            continue

    # annotation only member (ex. attr: int)
    try:
        for name in inspect.getannotations(self.object):
            if name not in members:
                docstring = attr_docs.get(("", name), [])
                members[name] = ObjectMember(
                    name, INSTANCEATTR, docstring="\n".join(docstring)
                )
    except AttributeError:
        pass

    return members


# Traceback (TypeError)
WARNING: autodoc: failed to import module 'bar' from module 'foo'; the following exception was raised:
Traceback (most recent call last):
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib/python3.7/site-packages/sphinx/ext/autodoc/importer.py", line 66, in import_module
return importlib.import_module(modname)
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib64/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/opt/projects/sphinx_decorator_bug/foo/bar.py", line 29, in <module>
@mocked_module.decorator2(BaseClass)
TypeError: __init__() takes 1 positional argument but 2 were given

# Fixed code
def get_module_members(self) -> Dict[str, ObjectMember]:
    """Get members of target module."""
    if self.analyzer:
        attr_docs = self.analyzer.attr_docs
    else:
        attr_docs = {}

    members = {}  # type: Dict[str, ObjectMember]
    for name in dir(self.object):
        try:
            value = safe_getattr(self.object, name, None)
            if ismock(value):
                value = undecorate(value)
            docstring = attr_docs.get(("", name), [])
            members[name] = ObjectMember(name, value, docstring="\n".join(docstring))
        except AttributeError:
            continue

    # annotation only member (ex. attr: int)
    try:
        for name in inspect.getannotations(self.object):
            if name not in members:
                docstring = attr_docs.get(("", name), [])
                members[name] = ObjectMember(
                    name, INSTANCEATTR, docstring="\n".join(docstring)
                )
    except AttributeError:
        pass

    return members
# Buggy code
def __call__(self, *args: Any, **kwargs: Any) -> Any:
    if args and type(args[0]) in [type, FunctionType, MethodType]:
        # Appears to be a decorator, pass through unchanged
        return args[0]
    return self


# Traceback (TypeError)
WARNING: autodoc: failed to import module 'bar' from module 'foo'; the following exception was raised:
Traceback (most recent call last):
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib/python3.7/site-packages/sphinx/ext/autodoc/importer.py", line 66, in import_module
return importlib.import_module(modname)
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib64/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/opt/projects/sphinx_decorator_bug/foo/bar.py", line 29, in <module>
@mocked_module.decorator2(BaseClass)
TypeError: __init__() takes 1 positional argument but 2 were given

# Fixed code
def __call__(self, *args: Any, **kwargs: Any) -> Any:
    call = self.__class__()
    call.__sphinx_decorator_args__ = args
    return call
# Buggy code
def _make_subclass(
    name: str, module: str, superclass: Any = _MockObject, attributes: Any = None
) -> Any:
    attrs = {"__module__": module, "__display_name__": module + "." + name}
    attrs.update(attributes or {})

    return type(name, (superclass,), attrs)


# Traceback (TypeError)
WARNING: autodoc: failed to import module 'bar' from module 'foo'; the following exception was raised:
Traceback (most recent call last):
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib/python3.7/site-packages/sphinx/ext/autodoc/importer.py", line 66, in import_module
return importlib.import_module(modname)
File "/home/andy/.local/share/virtualenvs/sphinx_decorator_bug-0V71t1Ku/lib64/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/opt/projects/sphinx_decorator_bug/foo/bar.py", line 29, in <module>
@mocked_module.decorator2(BaseClass)
TypeError: __init__() takes 1 positional argument but 2 were given

# Fixed code
def _make_subclass(
    name: str,
    module: str,
    superclass: Any = _MockObject,
    attributes: Any = None,
    decorator_args: Tuple = (),
) -> Any:
    attrs = {
        "__module__": module,
        "__display_name__": module + "." + name,
        "__sphinx_decorator_args__": decorator_args,
    }
    attrs.update(attributes or {})

    return type(name, (superclass,), attrs)
# Buggy code
def add_content(
    self, more_content: Optional[StringList], no_docstring: bool = False
) -> None:
    if self.doc_as_attr:
        more_content = StringList([_("alias of %s") % restify(self.object)], source="")
        super().add_content(more_content, no_docstring=True)
    else:
        super().add_content(more_content)


# Traceback (AttributeError)
Python 3.9.1 (default, Dec  8 2020, 07:51:42)
[GCC 10.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
import requests
import sphinx
requests.__version__
'2.25.0'
sphinx.__version__
'3.4.1'
from requests import codes
from sphinx.util.typing import restify
restify(codes)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python3/dist-packages/sphinx/util/typing.py", line 103, in restify
return _restify_py37(cls)
File "/usr/lib/python3/dist-packages/sphinx/util/typing.py", line 160, in _restify_py37
return ':obj:`%s.%s`' % (cls.__module__, cls.__name__)
AttributeError: 'LookupDict' object has no attribute '__name__'

# Fixed code
def add_content(
    self, more_content: Optional[StringList], no_docstring: bool = False
) -> None:
    if self.doc_as_attr:
        try:
            more_content = StringList(
                [_("alias of %s") % restify(self.object)], source=""
            )
        except AttributeError:
            pass  # Invalid class object is passed.

        super().add_content(more_content, no_docstring=True)
    else:
        super().add_content(more_content)
# Buggy code
def write_doc(self, docname: str, doctree: Node) -> None:
    logger.info("")
    n = 0

    # reference nodes
    for refnode in doctree.traverse(nodes.reference):
        if "refuri" not in refnode:
            continue
        uri = refnode["refuri"]
        lineno = get_node_line(refnode)
        uri_info = (CHECK_IMMEDIATELY, uri, docname, lineno)
        self.wqueue.put(uri_info, False)
        n += 1

    # image nodes
    for imgnode in doctree.traverse(nodes.image):
        uri = imgnode["candidates"].get("?")
        if uri and "://" in uri:
            lineno = get_node_line(imgnode)
            uri_info = (CHECK_IMMEDIATELY, uri, docname, lineno)
            self.wqueue.put(uri_info, False)
            n += 1

    done = 0
    while done < n:
        self.process_result(self.rqueue.get())
        done += 1

    if self.broken:
        self.app.statuscode = 1


# Traceback (ValueError)
Exception in thread Thread-2:
Traceback (most recent call last):
File "/opt/hostedtoolcache/Python/3.8.6/x64/lib/python3.8/threading.py", line 932, in _bootstrap_inner

Exception occurred:
self.run()
File "/opt/hostedtoolcache/Python/3.8.6/x64/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/opt/hostedtoolcache/Python/3.8.6/x64/lib/python3.8/site-packages/sphinx/builders/linkcheck.py", line 298, in check_thread
self.wqueue.task_done()
File "/opt/hostedtoolcache/Python/3.8.6/x64/lib/python3.8/queue.py", line 74, in task_done
Error:     raise ValueError('task_done() called too many times')
ValueError: task_done() called too many times
File "/opt/hostedtoolcache/Python/3.8.6/x64/lib/python3.8/queue.py", line 233, in _put
heappush(self.queue, item)
TypeError: '<' not supported between instances of 'int' and 'NoneType'

# Fixed code
def write_doc(self, docname: str, doctree: Node) -> None:
    logger.info("")
    n = 0

    # reference nodes
    for refnode in doctree.traverse(nodes.reference):
        if "refuri" not in refnode:
            continue
        uri = refnode["refuri"]
        lineno = node_line_or_0(refnode)
        uri_info = (CHECK_IMMEDIATELY, uri, docname, lineno)
        self.wqueue.put(uri_info, False)
        n += 1

    # image nodes
    for imgnode in doctree.traverse(nodes.image):
        uri = imgnode["candidates"].get("?")
        if uri and "://" in uri:
            lineno = node_line_or_0(imgnode)
            uri_info = (CHECK_IMMEDIATELY, uri, docname, lineno)
            self.wqueue.put(uri_info, False)
            n += 1

    done = 0
    while done < n:
        self.process_result(self.rqueue.get())
        done += 1

    if self.broken:
        self.app.statuscode = 1
# Buggy code
def isinstanceattribute(self) -> bool:
    """Check the subject is an instance attribute."""
    try:
        analyzer = ModuleAnalyzer.for_module(self.modname)
        attr_docs = analyzer.find_attr_docs()
        if self.objpath:
            key = (".".join(self.objpath[:-1]), self.objpath[-1])
            if key in attr_docs:
                return True

        return False
    except PycodeError:
        return False


# Traceback (AttributeError)
WARNING: autodoc: failed to import data 'var' from module 'example'; the following exception was raised:
Traceback (most recent call last):
File "/Users/tkomiya/work/sphinx/sphinx/util/inspect.py", line 343, in safe_getattr
return getattr(obj, name, *defargs)
AttributeError: module 'example' has no attribute 'var'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/Users/tkomiya/work/sphinx/sphinx/ext/autodoc/importer.py", line 106, in import_object
obj = attrgetter(obj, mangled_name)
File "/Users/tkomiya/work/sphinx/sphinx/ext/autodoc/__init__.py", line 316, in get_attr
return autodoc_attrgetter(self.env.app, obj, name, *defargs)
File "/Users/tkomiya/work/sphinx/sphinx/ext/autodoc/__init__.py", line 2269, in autodoc_attrgetter
return safe_getattr(obj, name, *defargs)
File "/Users/tkomiya/work/sphinx/sphinx/util/inspect.py", line 359, in safe_getattr
raise AttributeError(name) from exc
AttributeError: var

# Fixed code
def isinstanceattribute(self) -> bool:
    """Check the subject is an instance attribute."""
    # uninitialized instance variable (PEP-526)
    with mock(self.config.autodoc_mock_imports):
        try:
            ret = import_object(
                self.modname,
                self.objpath[:-1],
                "class",
                attrgetter=self.get_attr,
                warningiserror=self.config.autodoc_warningiserror,
            )
            self.parent = ret[3]
            annotations = get_type_hints(
                self.parent, None, self.config.autodoc_type_aliases
            )
            if self.objpath[-1] in annotations:
                self.object = UNINITIALIZED_ATTR
                return True
        except ImportError:
            pass

    # An instance variable defined inside __init__().
    try:
        analyzer = ModuleAnalyzer.for_module(self.modname)
        attr_docs = analyzer.find_attr_docs()
        if self.objpath:
            key = (".".join(self.objpath[:-1]), self.objpath[-1])
            if key in attr_docs:
                return True

        return False
    except PycodeError:
        pass

    return False
# Buggy code
def setup_documenters(app: Any) -> None:
    from sphinx.ext.autodoc import (
        AttributeDocumenter,
        ClassDocumenter,
        DataDeclarationDocumenter,
        DataDocumenter,
        DecoratorDocumenter,
        ExceptionDocumenter,
        FunctionDocumenter,
        GenericAliasDocumenter,
        InstanceAttributeDocumenter,
        MethodDocumenter,
        ModuleDocumenter,
        PropertyDocumenter,
        SingledispatchFunctionDocumenter,
        SlotsAttributeDocumenter,
    )

    documenters = [
        ModuleDocumenter,
        ClassDocumenter,
        ExceptionDocumenter,
        DataDocumenter,
        FunctionDocumenter,
        MethodDocumenter,
        AttributeDocumenter,
        InstanceAttributeDocumenter,
        DecoratorDocumenter,
        PropertyDocumenter,
        SlotsAttributeDocumenter,
        DataDeclarationDocumenter,
        GenericAliasDocumenter,
        SingledispatchFunctionDocumenter,
    ]  # type: List[Type[Documenter]]
    for documenter in documenters:
        app.registry.add_documenter(documenter.objtype, documenter)


# Traceback (AttributeError)
WARNING: autodoc: failed to import data 'var' from module 'example'; the following exception was raised:
Traceback (most recent call last):
File "/Users/tkomiya/work/sphinx/sphinx/util/inspect.py", line 343, in safe_getattr
return getattr(obj, name, *defargs)
AttributeError: module 'example' has no attribute 'var'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/Users/tkomiya/work/sphinx/sphinx/ext/autodoc/importer.py", line 106, in import_object
obj = attrgetter(obj, mangled_name)
File "/Users/tkomiya/work/sphinx/sphinx/ext/autodoc/__init__.py", line 316, in get_attr
return autodoc_attrgetter(self.env.app, obj, name, *defargs)
File "/Users/tkomiya/work/sphinx/sphinx/ext/autodoc/__init__.py", line 2269, in autodoc_attrgetter
return safe_getattr(obj, name, *defargs)
File "/Users/tkomiya/work/sphinx/sphinx/util/inspect.py", line 359, in safe_getattr
raise AttributeError(name) from exc
AttributeError: var

# Fixed code
def setup_documenters(app: Any) -> None:
    from sphinx.ext.autodoc import (
        AttributeDocumenter,
        ClassDocumenter,
        DataDocumenter,
        DecoratorDocumenter,
        ExceptionDocumenter,
        FunctionDocumenter,
        GenericAliasDocumenter,
        InstanceAttributeDocumenter,
        MethodDocumenter,
        ModuleDocumenter,
        PropertyDocumenter,
        SingledispatchFunctionDocumenter,
        SlotsAttributeDocumenter,
    )

    documenters = [
        ModuleDocumenter,
        ClassDocumenter,
        ExceptionDocumenter,
        DataDocumenter,
        FunctionDocumenter,
        MethodDocumenter,
        AttributeDocumenter,
        InstanceAttributeDocumenter,
        DecoratorDocumenter,
        PropertyDocumenter,
        SlotsAttributeDocumenter,
        GenericAliasDocumenter,
        SingledispatchFunctionDocumenter,
    ]  # type: List[Type[Documenter]]
    for documenter in documenters:
        app.registry.add_documenter(documenter.objtype, documenter)
# Buggy code
def copy_theme_static_files(self, context: Dict) -> None:
    if self.theme:
        for entry in self.theme.get_theme_dirs()[::-1]:
            copy_asset(
                path.join(entry, "static"),
                path.join(self.outdir, "_static"),
                excluded=DOTFILES,
                context=context,
                renderer=self.templates,
            )


# Traceback (jinja2.exceptions.UndefinedError)
Exception occurred:
File "c:\users\riedgar\appdata\local\continuum\miniconda3\envs\py-36\lib\site-packages\jinja2\sandbox.py", line 360, in is_safe_callable
getattr(obj, "unsafe_callable", False) or getattr(obj, "alters_data", False)
jinja2.exceptions.UndefinedError: 'pathto' is undefined
The full traceback has been saved in C:\Users\riedgar\AppData\Local\Temp\sphinx-err-tnwtajjw.log, if you want to report the issue to the developers.
Please also report this if it was a user error, so that a better error message can be provided next time.
A bug report can be filed in the tracker at <https://github.com/sphinx-doc/sphinx/issues>. Thanks!
Traceback (most recent call last):
File "C:\Users\riedgar\AppData\Local\Continuum\miniconda3\envs\py-36\Scripts\sphinx-multiversion-script.py", line 33, in <module>
sys.exit(load_entry_point('sphinx-multiversion', 'console_scripts', 'sphinx-multiversion')())
File "c:\users\riedgar\source\repos\sphinx-multiversion\sphinx_multiversion\main.py", line 302, in main
subprocess.check_call(cmd, cwd=current_cwd)
File "c:\users\riedgar\appdata\local\continuum\miniconda3\envs\py-36\lib\subprocess.py", line 311, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '('c:\\users\\riedgar\\appdata\\local\\continuum\\miniconda3\\envs\\py-36\\python.exe', '-m', 'sphinx', '-D', 'smv_metadata_path=C:\\Users\\riedgar\\AppData\\Local\\Temp\\tmp4vfkrz7o\\versions.json', '-D', 'smv_current_version=master', '-c', 'C:\\Users\\riedgar\\source\\repos\\fairlearn\\docs', 'C:\\Users\\riedgar\\AppData\\Local\\Temp\\tmp4vfkrz7o\\c6c01dc52462a49b95e2aab9f8de4f586de56234\\docs', 'C:\\Users\\riedgar\\source\\repos\\fairlearn\\build\\html\\master')' returned non-zero exit status 2.

# Fixed code
def copy_theme_static_files(self, context: Dict) -> None:
    def onerror(filename: str, error: Exception) -> None:
        logger.warning(
            __("Failed to copy a file in html_static_file: %s: %r"), filename, error
        )

    if self.theme:
        for entry in self.theme.get_theme_dirs()[::-1]:
            copy_asset(
                path.join(entry, "static"),
                path.join(self.outdir, "_static"),
                excluded=DOTFILES,
                context=context,
                renderer=self.templates,
                onerror=onerror,
            )
# Buggy code
def copy_html_static_files(self, context: Dict) -> None:
    excluded = Matcher(self.config.exclude_patterns + ["**/.*"])
    for entry in self.config.html_static_path:
        copy_asset(
            path.join(self.confdir, entry),
            path.join(self.outdir, "_static"),
            excluded,
            context=context,
            renderer=self.templates,
        )


# Traceback (jinja2.exceptions.UndefinedError)
Exception occurred:
File "c:\users\riedgar\appdata\local\continuum\miniconda3\envs\py-36\lib\site-packages\jinja2\sandbox.py", line 360, in is_safe_callable
getattr(obj, "unsafe_callable", False) or getattr(obj, "alters_data", False)
jinja2.exceptions.UndefinedError: 'pathto' is undefined
The full traceback has been saved in C:\Users\riedgar\AppData\Local\Temp\sphinx-err-tnwtajjw.log, if you want to report the issue to the developers.
Please also report this if it was a user error, so that a better error message can be provided next time.
A bug report can be filed in the tracker at <https://github.com/sphinx-doc/sphinx/issues>. Thanks!
Traceback (most recent call last):
File "C:\Users\riedgar\AppData\Local\Continuum\miniconda3\envs\py-36\Scripts\sphinx-multiversion-script.py", line 33, in <module>
sys.exit(load_entry_point('sphinx-multiversion', 'console_scripts', 'sphinx-multiversion')())
File "c:\users\riedgar\source\repos\sphinx-multiversion\sphinx_multiversion\main.py", line 302, in main
subprocess.check_call(cmd, cwd=current_cwd)
File "c:\users\riedgar\appdata\local\continuum\miniconda3\envs\py-36\lib\subprocess.py", line 311, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '('c:\\users\\riedgar\\appdata\\local\\continuum\\miniconda3\\envs\\py-36\\python.exe', '-m', 'sphinx', '-D', 'smv_metadata_path=C:\\Users\\riedgar\\AppData\\Local\\Temp\\tmp4vfkrz7o\\versions.json', '-D', 'smv_current_version=master', '-c', 'C:\\Users\\riedgar\\source\\repos\\fairlearn\\docs', 'C:\\Users\\riedgar\\AppData\\Local\\Temp\\tmp4vfkrz7o\\c6c01dc52462a49b95e2aab9f8de4f586de56234\\docs', 'C:\\Users\\riedgar\\source\\repos\\fairlearn\\build\\html\\master')' returned non-zero exit status 2.

# Fixed code
def copy_html_static_files(self, context: Dict) -> None:
    def onerror(filename: str, error: Exception) -> None:
        logger.warning(
            __("Failed to copy a file in html_static_file: %s: %r"), filename, error
        )

    excluded = Matcher(self.config.exclude_patterns + ["**/.*"])
    for entry in self.config.html_static_path:
        copy_asset(
            path.join(self.confdir, entry),
            path.join(self.outdir, "_static"),
            excluded,
            context=context,
            renderer=self.templates,
            onerror=onerror,
        )
# Buggy code
def set_id(
    self, node: Element, msgnode: Element = None, suggested_prefix: str = ""
) -> str:
    if docutils.__version_info__ >= (0, 16):
        ret = super().set_id(node, msgnode, suggested_prefix)  # type: ignore
    else:
        ret = super().set_id(node, msgnode)

    if docutils.__version_info__ < (0, 17):
        # register other node IDs forcedly
        for node_id in node["ids"]:
            if node_id not in self.ids:
                self.ids[node_id] = node

    return ret


# Traceback (AttributeError)
$ python -c "import  sphinx.directives"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/devel/.local/lib/python3.8/site-packages/sphinx/directives/__init__.py", line 19, in <module>
from sphinx import addnodes
File "/home/devel/.local/lib/python3.8/site-packages/sphinx/addnodes.py", line 18, in <module>
from sphinx.util import docutils
File "/home/devel/.local/lib/python3.8/site-packages/sphinx/util/__init__.py", line 46, in <module>
from sphinx.util.nodes import (   # noqa
File "/home/devel/.local/lib/python3.8/site-packages/sphinx/util/nodes.py", line 187, in <module>
addnodes.versionmodified,
AttributeError: partially initialized module 'sphinx.addnodes' has no attribute 'versionmodified' (most likely due to a circular import)

# Fixed code
def set_id(
    self, node: Element, msgnode: Element = None, suggested_prefix: str = ""
) -> str:
    from sphinx.util import docutils

    if docutils.__version_info__ >= (0, 16):
        ret = super().set_id(node, msgnode, suggested_prefix)  # type: ignore
    else:
        ret = super().set_id(node, msgnode)

    if docutils.__version_info__ < (0, 17):
        # register other node IDs forcedly
        for node_id in node["ids"]:
            if node_id not in self.ids:
                self.ids[node_id] = node

    return ret