gurudesh/pytracebugs huggingface dataset:
# Buggy code
def format_range(value):
    """Formats a range header tuple per the HTTP spec.

    Args:
        value: ``tuple`` passed to `req.range`
    """

    # PERF(kgriffs): % was found to be faster than str.format(),
    # string concatenation, and str.join() in this case.

    if len(value) == 4:
        return "%s %s-%s/%s" % (value[3], value[0], value[1], value[2])

    return "bytes %s-%s/%s" % (value[0], value[1], value[2])


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def format_range(value):
    """Formats a range header tuple per the HTTP spec.

    Args:
        value: ``tuple`` passed to `req.range`
    """

    # PERF(kgriffs): % was found to be faster than str.format(),
    # string concatenation, and str.join() in this case.

    if len(value) == 4:
        result = "%s %s-%s/%s" % (value[3], value[0], value[1], value[2])
    else:
        result = "bytes %s-%s/%s" % (value[0], value[1], value[2])

    if six.PY2:
        # NOTE(kgriffs): In case one of the values was a unicode
        # string, convert back to str
        result = str(result)

    return result
# Buggy code
def set_header(self, name, value):
    """Set a header for this response to a given value.

    Warning:
        Calling this method overwrites the existing value, if any.

    Warning:
        For setting cookies, see instead :meth:`~.set_cookie`

    Args:
        name (str): Header name to set (case-insensitive). Must be of
            type ``str`` or ``StringType``, and only character values 0x00
            through 0xFF may be used on platforms that use wide
            characters.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType``, and only character values 0x00 through 0xFF
            may be used on platforms that use wide characters.

    """

    # NOTE(kgriffs): normalize name by lowercasing it
    self._headers[name.lower()] = value


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def set_header(self, name, value):
    """Set a header for this response to a given value.

    Warning:
        Calling this method overwrites the existing value, if any.

    Warning:
        For setting cookies, see instead :meth:`~.set_cookie`

    Args:
        name (str): Header name (case-insensitive). The restrictions
            noted below for the header's value also apply here.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType`` and contain only ISO-8859-1 characters.
            Under Python 2.x, the ``unicode`` type is also accepted,
            although such strings are also limited to ISO-8859-1.
    """
    name, value = self._encode_header(name, value)

    # NOTE(kgriffs): normalize name by lowercasing it
    self._headers[name.lower()] = value
# Buggy code
def append_header(self, name, value):
    """Set or append a header for this response.

    Warning:
        If the header already exists, the new value will be appended
        to it, delimited by a comma. Most header specifications support
        this format, Cookie and Set-Cookie being the notable exceptions.

    Warning:
        For setting cookies, see :py:meth:`~.set_cookie`

    Args:
        name (str): Header name to set (case-insensitive). Must be of
            type ``str`` or ``StringType``, and only character values 0x00
            through 0xFF may be used on platforms that use wide
            characters.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType``, and only character values 0x00 through 0xFF
            may be used on platforms that use wide characters.

    """
    name = name.lower()
    if name in self._headers:
        value = self._headers[name] + "," + value

    self._headers[name] = value


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def append_header(self, name, value):
    """Set or append a header for this response.

    Warning:
        If the header already exists, the new value will be appended
        to it, delimited by a comma. Most header specifications support
        this format, Cookie and Set-Cookie being the notable exceptions.

    Warning:
        For setting cookies, see :py:meth:`~.set_cookie`

    Args:
        name (str): Header name (case-insensitive). The restrictions
            noted below for the header's value also apply here.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType`` and contain only ISO-8859-1 characters.
            Under Python 2.x, the ``unicode`` type is also accepted,
            although such strings are also limited to ISO-8859-1.

    """
    name, value = self._encode_header(name, value)

    name = name.lower()
    if name in self._headers:
        value = self._headers[name] + "," + value

    self._headers[name] = value
# Buggy code
def set_headers(self, headers):
    """Set several headers at once.

    Warning:
        Calling this method overwrites existing values, if any.

    Args:
        headers (dict or list): A dictionary of header names and values
            to set, or ``list`` of (*name*, *value*) tuples. Both *name*
            and *value* must be of type ``str`` or ``StringType``, and
            only character values 0x00 through 0xFF may be used on
            platforms that use wide characters.

            Note:
                Falcon can process a list of tuples slightly faster
                than a dict.

    Raises:
        ValueError: `headers` was not a ``dict`` or ``list`` of ``tuple``.

    """

    if isinstance(headers, dict):
        headers = headers.items()

    # NOTE(kgriffs): We can't use dict.update because we have to
    # normalize the header names.
    _headers = self._headers
    for name, value in headers:
        _headers[name.lower()] = value


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def set_headers(self, headers):
    """Set several headers at once.

    Warning:
        Calling this method overwrites existing values, if any.

    Args:
        headers (dict or list): A dictionary of header names and values
            to set, or a ``list`` of (*name*, *value*) tuples. Both *name*
            and *value* must be of type ``str`` or ``StringType`` and
            contain only ISO-8859-1 characters. Under Python 2.x, the
            ``unicode`` type is also accepted, although such strings are
            also limited to ISO-8859-1.

            Note:
                Falcon can process a list of tuples slightly faster
                than a dict.

    Raises:
        ValueError: `headers` was not a ``dict`` or ``list`` of ``tuple``.

    """

    if isinstance(headers, dict):
        headers = headers.items()

    # NOTE(kgriffs): We can't use dict.update because we have to
    # normalize the header names.
    _headers = self._headers
    for name, value in headers:
        name, value = self._encode_header(name, value)
        _headers[name.lower()] = value
# Buggy code
def _wsgi_headers(self, media_type=None, py2=PY2):
    """Convert headers into the format expected by WSGI servers.

    Args:
        media_type: Default media type to use for the Content-Type
            header if the header was not set explicitly (default ``None``).

    """

    headers = self._headers

    # PERF(kgriffs): Using "in" like this is faster than using
    # dict.setdefault (tested on py27).
    set_content_type = media_type is not None and "content-type" not in headers

    if set_content_type:
        headers["content-type"] = media_type

    if py2:
        # PERF(kgriffs): Don't create an extra list object if
        # it isn't needed.
        items = headers.items()
    else:
        items = list(headers.items())  # pragma: no cover

    if self._cookies is not None:
        # PERF(tbug):
        # The below implementation is ~23% faster than
        # the alternative:
        #
        #     self._cookies.output().split("\\r\\n")
        #
        # Even without the .split("\\r\\n"), the below
        # is still ~17% faster, so don't use .output()
        items += [("set-cookie", c.OutputString()) for c in self._cookies.values()]
    return items


# Traceback (AssertionError)
Traceback (most recent call last):
<...snip...>
File "/usr/local/lib/python2.7/dist-packages/falcon/api.py", line 247, in __call__
start_response(resp.status, headers)
File "/usr/lib/python2.7/wsgiref/validate.py", line 167, in start_response_wrapper
check_content_type(status, headers)
File "/usr/lib/python2.7/wsgiref/validate.py", line 419, in check_content_type
assert_(0, "No Content-Type header found in headers (%s)" % headers)
File "/usr/lib/python2.7/wsgiref/validate.py", line 129, in assert_
raise AssertionError(*args)
AssertionError: No Content-Type header found in headers ([('content-length', '0')])

# Fixed code
def _wsgi_headers(self, media_type=None, py2=PY2):
    """Convert headers into the format expected by WSGI servers.

    Args:
        media_type: Default media type to use for the Content-Type
            header if the header was not set explicitly (default ``None``).

    """

    headers = self._headers

    # PERF(kgriffs): Using "in" like this is faster than using
    # dict.setdefault (tested on py27).
    set_content_type = media_type is not None and "content-type" not in headers

    if set_content_type:
        headers["content-type"] = media_type

    if py2:
        # PERF(kgriffs): Don't create an extra list object if
        # it isn't needed.
        items = headers.items()
    else:
        items = list(headers.items())

    if self._cookies is not None:
        # PERF(tbug):
        # The below implementation is ~23% faster than
        # the alternative:
        #
        #     self._cookies.output().split("\\r\\n")
        #
        # Even without the .split("\\r\\n"), the below
        # is still ~17% faster, so don't use .output()
        items += [("set-cookie", c.OutputString()) for c in self._cookies.values()]
    return items
# Buggy code
def _add_noise_shaping(dithered_waveform: Tensor, waveform: Tensor) -> Tensor:
    r"""Noise shaping is calculated by error:
    error[n] = dithered[n] - original[n]
    noise_shaped_waveform[n] = dithered[n] + error[n-1]
    """
    wf_shape = waveform.size()
    waveform = waveform.reshape(-1, wf_shape[-1])

    dithered_shape = dithered_waveform.size()
    dithered_waveform = dithered_waveform.reshape(-1, dithered_shape[-1])

    error = dithered_waveform - waveform

    # add error[n-1] to dithered_waveform[n], so offset the error by 1 index
    for index in range(error.size()[0]):
        err = error[index]
        error_offset = torch.cat((torch.zeros(1), err))
        error[index] = error_offset[: waveform.size()[1]]

    noise_shaped = dithered_waveform + error
    return noise_shaped.reshape(dithered_shape[:-1] + noise_shaped.shape[-1:])


# Traceback (RuntimeError)
In [5]: F.dither(torch.randn(2, 441000).cuda())
Out[5]:
tensor([[ 0.3492, -1.8493, -0.4794,  ...,  0.3907, -0.4662, -0.2815],
[-1.3821,  0.0401,  0.0023,  ..., -1.1417,  0.6411, -0.6851]],
device='cuda:0')

In [6]: F.dither(torch.randn(2, 441000).cuda(), noise_shaping=True)
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-6-5dfd051b2e21> in <module>
----> 1 F.dither(torch.randn(2, 441000).cuda(), noise_shaping=True)

~/anaconda3/lib/python3.7/site-packages/torchaudio-0.7.0a0+8fdb8df-py3.7-linux-x86_64.egg/torchaudio/functional.py in dither(waveform, density_function, noise_shaping)
1836
1837     if noise_shaping:
-> 1838         return _add_noise_shaping(dithered, waveform)
1839     else:
1840         return dithered

~/anaconda3/lib/python3.7/site-packages/torchaudio-0.7.0a0+8fdb8df-py3.7-linux-x86_64.egg/torchaudio/functional.py in _add_noise_shaping(dithered_waveform, waveform)
1732     for index in range(error.size()[0]):
1733         err = error[index]
-> 1734         error_offset = torch.cat((torch.zeros(1), err))
1735         error[index] = error_offset[:waveform.size()[1]]
1736

# Fixed code
def _add_noise_shaping(dithered_waveform: Tensor, waveform: Tensor) -> Tensor:
    r"""Noise shaping is calculated by error:
    error[n] = dithered[n] - original[n]
    noise_shaped_waveform[n] = dithered[n] + error[n-1]
    """
    wf_shape = waveform.size()
    waveform = waveform.reshape(-1, wf_shape[-1])

    dithered_shape = dithered_waveform.size()
    dithered_waveform = dithered_waveform.reshape(-1, dithered_shape[-1])

    error = dithered_waveform - waveform

    # add error[n-1] to dithered_waveform[n], so offset the error by 1 index
    zeros = torch.zeros(1, dtype=error.dtype, device=error.device)
    for index in range(error.size()[0]):
        err = error[index]
        error_offset = torch.cat((zeros, err))
        error[index] = error_offset[: waveform.size()[1]]

    noise_shaped = dithered_waveform + error
    return noise_shaped.reshape(dithered_shape[:-1] + noise_shaped.shape[-1:])
# Buggy code
def _get_log_energy(
    strided_input: Tensor, epsilon: Tensor, energy_floor: float
) -> Tensor:
    r"""Returns the log energy of size (m) for a strided_input (m,*)"""
    log_energy = torch.max(strided_input.pow(2).sum(1), epsilon).log()  # size (m)
    if energy_floor == 0.0:
        return log_energy
    else:
        return torch.max(log_energy, torch.tensor(math.log(energy_floor)))


# Traceback (RuntimeError)
Traceback (most recent call last):
File "./fbank_test.py", line 27, in <module>
main()
File "./fbank_test.py", line 23, in main
fbank = torchaudio.compliance.kaldi.fbank(waveform)
File "/xxxxxx/py35/lib/python3.5/site-packages/torchaudio/compliance/kaldi.py",
line 554, in fbank
snip_edges, raw_energy, energy_floor, dither, remove_dc_offset, preemphasis_coefficient)
File "/xxxxx/py35/lib/python3.5/site-packages/torchaudio/compliance/kaldi.py",
line 180, in _get_window
signal_log_energy = _get_log_energy(strided_input, EPSILON, energy_floor)  # size (m)
File "/xxxxx/py35/lib/python3.5/site-packages/torchaudio/compliance/kaldi.py",
line 113, in _get_log_energy
log_energy = torch.max(strided_input.pow(2).sum(1), epsilon).log()  # size (m)
RuntimeError: iter.device(arg).is_cuda() INTERNAL ASSERT FAILED at /pytorch/aten/src/ATen/native/cuda/Loops.cuh:56,
please report a bug to PyTorch.

# Fixed code
def _get_log_energy(
    strided_input: Tensor, epsilon: Tensor, energy_floor: float
) -> Tensor:
    r"""Returns the log energy of size (m) for a strided_input (m,*)"""
    device, dtype = strided_input.device, strided_input.dtype
    log_energy = torch.max(strided_input.pow(2).sum(1), epsilon).log()  # size (m)
    if energy_floor == 0.0:
        return log_energy
    return torch.max(
        log_energy, torch.tensor(math.log(energy_floor), device=device, dtype=dtype)
    )
# Buggy code
def is_connected(self) -> bool:
    return self.transport is not None


# Traceback (ConnectionResetError)
Traceback (most recent call last):
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/aiohttp/client.py", line 502, in _request
resp = await req.send(conn)
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/aiohttp/client_reqrep.py", line 629, in send
await writer.write_headers(status_line, self.headers)
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/aiohttp/http_writer.py", line 112, in write_headers
self._write(buf)
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/aiohttp/http_writer.py", line 67, in _write
raise ConnectionResetError('Cannot write to closing transport')
ConnectionResetError: Cannot write to closing transport

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

Traceback (most recent call last):
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/hydra/base_api_request.py", line 75, in request
timeout=cls.request_timeout(timeout))
File "<string>", line 5, in wrapper
File "/home/ubuntu/.pyenv/versions/3.7.2/envs/gateway/lib/python3.7/site-packages/newrelic/hooks/framework_aiohttp.py", line 260, in _coro
response = yield from wrapped(*args, **kwargs)
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/aiohttp/client.py", line 514, in _request
raise ClientOSError(*exc.args) from exc
aiohttp.client_exceptions.ClientOSError: Cannot write to closing transport

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/hydra/decorators/http.py", line 41, in f
result = await wait_for(shield(wrapped_func(self, *args, **kwargs)), api_timeout)
File "/home/ubuntu/.pyenv/versions/3.7.2/lib/python3.7/asyncio/tasks.py", line 416, in wait_for
return fut.result()
File "/home/ubuntu/1mg/API-Gateway/gateway/utils.py", line 189, in wrapper
result = await func(*args, **kwargs)
File "/home/ubuntu/1mg/API-Gateway/gateway/managers/app_context_manager.py", line 98, in _build_shared_context
result = await func(*args, **kwargs)
File "/home/ubuntu/1mg/API-Gateway/gateway/handlers/mingler/service_handler.py", line 14, in services
response = await Services.get_services(params)
File "/home/ubuntu/1mg/API-Gateway/gateway/service_clients/mingler/services.py", line 13, in get_services
result = await cls.post(path, data=params, headers=headers)
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/hydra/base_api_request.py", line 144, in post
response_headers_list=response_headers_list)
File "/home/ubuntu/.pyenv/versions/gateway/lib/python3.7/site-packages/hydra/base_api_request.py", line 93, in request
raise HTTPRequestException(error={'message': exception_message})
hydra.exceptions.HTTPRequestException

# Fixed code
def is_connected(self) -> bool:
    return self.transport is not None and not self.transport.is_closing()
# Buggy code
async def text(self) -> str:
    """Return BODY as text using encoding from .charset."""
    bytes_body = await self.read()
    encoding = self.charset or "utf-8"
    return bytes_body.decode(encoding)


# Traceback (LookupError)
Error handling request
Traceback (most recent call last):
File "/home/pentusha/.venvs/test/lib/python3.7/site-packages/aiohttp/web_protocol.py", line 418, in start
resp = await task
File "/home/pentusha/.venvs/test/lib/python3.7/site-packages/aiohttp/web_app.py", line 458, in _handle
resp = await handler(request)
File "/home/pentusha/projects/test/api/app2.py", line 5, in post_handler
body = await request.text()
File "/home/pentusha/.venvs/test/lib/python3.7/site-packages/aiohttp/web_request.py", line 579, in text
return bytes_body.decode(encoding)
LookupError: unknown encoding: test

# Fixed code
async def text(self) -> str:
    """Return BODY as text using encoding from .charset."""
    bytes_body = await self.read()
    encoding = self.charset or "utf-8"
    try:
        return bytes_body.decode(encoding)
    except LookupError:
        raise HTTPUnsupportedMediaType()
# Buggy code
def make_handler(self, app):
    return app.make_handler(
        logger=self.log,
        debug=self.cfg.debug,
        timeout=self.cfg.timeout,
        keep_alive=self.cfg.keepalive,
        access_log=self.log.access_log,
        access_log_format=self._get_valid_log_format(self.cfg.access_log_format),
    )


# Traceback (AttributeError)
Traceback (most recent call last):
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/gunicorn/arbiter.py", line 557, in spawn_worker
worker.init_process()
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/aiohttp/worker.py", line 196, in init_process
super().init_process()
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/aiohttp/worker.py", line 36, in init_process
super().init_process()
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/gunicorn/workers/base.py", line 132, in init_process
self.run()
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/aiohttp/worker.py", line 43, in run
self.loop.run_until_complete(self._runner)
File "uvloop/loop.pyx", line 1133, in uvloop.loop.Loop.run_until_complete (uvloop/loop.c:19943)
File "uvloop/future.pyx", line 123, in uvloop.loop.BaseFuture.result (uvloop/loop.c:94147)
File "uvloop/future.pyx", line 78, in uvloop.loop.BaseFuture._result_impl (uvloop/loop.c:93686)
File "uvloop/task.pyx", line 126, in uvloop.loop.BaseTask._fast_step (uvloop/loop.c:99430)
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/aiohttp/worker.py", line 91, in _run
handler = self.make_handler(self.wsgi)
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/aiohttp/worker.py", line 52, in make_handler
debug=self.cfg.debug,
File "/Users/bcmyers/Dropbox/Programming/python/website/venv/lib/python3.5/site-packages/gunicorn/config.py", line 58, in __getattr__
raise AttributeError("No configuration setting for: %s" % name)
AttributeError: No configuration setting for: debug

# Fixed code
def make_handler(self, app):
    if hasattr(self.cfg, "debug"):
        is_debug = self.cfg.debug
    else:
        is_debug = self.log.loglevel == logging.DEBUG

    return app.make_handler(
        logger=self.log,
        debug=is_debug,
        slow_request_timeout=self.cfg.timeout,
        keepalive_timeout=self.cfg.keepalive,
        access_log=self.log.access_log,
        access_log_format=self._get_valid_log_format(self.cfg.access_log_format),
    )
# Buggy code
def __init__(self, allow_pickle=True):
    """Main class turn on."""
    self.allow_pickle = allow_pickle
    self.monitors = {}
    self.failed = []
    self.still_failing = []
    self.skipped = []
    self.warning = []
    self.remote_monitors = {}

    self.loggers = {}
    self.alerters = {}

    try:
        signal.signal(signal.SIGHUP, self.hup_loggers)
    except ValueError:  # pragma: no cover
        module_logger.warning(
            "Unable to trap SIGHUP... maybe it doesn't exist on this platform.\n"
        )


# Traceback (AttributeError)
more monitors.ini
[monitor]
interval=60

[localhost]
type=host
host=localhost
tolerance=2

python monitor.py -v
Warning: --verbose is deprecated; use --log-level=info
2019-01-18 13:23:28     INFO (simplemonitor) === SimpleMonitor v1.7
2019-01-18 13:23:28     INFO (simplemonitor) Loading main config from monitors.ini
2019-01-18 13:23:28     INFO (simplemonitor) Loading monitor config from monitors.ini
Traceback (most recent call last):
File "monitor.py", line 403, in <module>
main()
File "monitor.py", line 263, in main
m = SimpleMonitor(allow_pickle=allow_pickle)
File "D:\Seafile\dev\dev-perso\simplemonitor\simplemonitor.py", line 36, in __init__
signal.signal(signal.SIGHUP, self.hup_loggers)
AttributeError: module 'signal' has no attribute 'SIGHUP'

# Fixed code
def __init__(self, allow_pickle=True):
    """Main class turn on."""
    self.allow_pickle = allow_pickle
    self.monitors = {}
    self.failed = []
    self.still_failing = []
    self.skipped = []
    self.warning = []
    self.remote_monitors = {}

    self.loggers = {}
    self.alerters = {}

    try:
        signal.signal(signal.SIGHUP, self.hup_loggers)
    except ValueError:  # pragma: no cover
        module_logger.warning(
            "Unable to trap SIGHUP... maybe it doesn't exist on this platform.\n"
        )
    except AttributeError:  # pragma: no cover
        module_logger.warning(
            "Unable to trap SIGHUP... maybe it doesn't exist on this platform.\n"
        )
# Buggy code
def run(self, name, index, username):
    """Create the SearchIndex."""
    es = ElasticsearchDataStore(
        host=current_app.config["ELASTIC_HOST"], port=current_app.config["ELASTIC_PORT"]
    )
    user = User.query.filter_by(username=username).first()
    if not user:
        sys.stderr.write("User does not exist\n")
        sys.exit(1)
    if not es.client.indices.exists(index=index):
        sys.stderr.write("Index does not exist in the datastore\n")
        sys.exit(1)
    if SearchIndex.query.filter_by(name=name, index_name=index).first():
        sys.stderr.write("Index with this name already exist in Timesketch\n")
        sys.exit(1)
    searchindex = SearchIndex(name=name, description=name, user=user, index_name=index)
    searchindex.grant_permission("read")
    db_session.add(searchindex)
    db_session.commit()
    sys.stdout.write("Search index {0:s} created\n".format(name))


# Traceback (TypeError)
tsctl import -f <timeline>.jsonl -u <username>
Traceback (most recent call last):
File "/usr/lib/python3.6/encodings/utf_8.py", line 16, in decode
return codecs.utf_8_decode(input, errors, True)
TypeError: a bytes-like object is required, not 'NoneType'

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

Traceback (most recent call last):
File "/usr/local/bin/tsctl", line 11, in <module>
sys.exit(main())
File "/usr/local/lib/python3.6/dist-packages/timesketch/tsctl.py", line 474, in main
shell_manager.run()
File "/usr/local/lib/python3.6/dist-packages/flask_script/__init__.py", line 417, in run
result = self.handle(argv[0], argv[1:])
File "/usr/local/lib/python3.6/dist-packages/flask_script/__init__.py", line 386, in handle
res = handle(*args, **config)
File "/usr/local/lib/python3.6/dist-packages/flask_script/commands.py", line 216, in __call__
return self.run(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/timesketch/tsctl.py", line 389, in run
timeline_name = codecs.decode(timeline_name, 'utf-8')
TypeError: <timesketch.tsctl.ImportTimeline object at 0x7f2648558080>: decoding with 'utf-8' codec failed (TypeError: a bytes-like object is required, not 'NoneType')

# Fixed code
def run(self, name, index, username):
    """Create the SearchIndex."""
    es = ElasticsearchDataStore(
        host=current_app.config["ELASTIC_HOST"], port=current_app.config["ELASTIC_PORT"]
    )
    user = User.query.filter_by(username=username).first()
    if not user:
        sys.stderr.write("User does not exist\n")
        sys.exit(1)
    if not es.client.indices.exists(index=index):
        sys.stderr.write("Index does not exist in the datastore\n")
        sys.exit(1)
    if SearchIndex.query.filter_by(name=name, index_name=index).first():
        sys.stderr.write("Index with this name already exist in Timesketch\n")
        sys.exit(1)
    searchindex = SearchIndex(name=name, description=name, user=user, index_name=index)
    db_session.add(searchindex)
    db_session.commit()
    searchindex.grant_permission("read")
    sys.stdout.write("Search index {0:s} created\n".format(name))
# Buggy code
def add_file(self, filepath, delimiter=","):
    """Add a CSV, JSONL or a PLASO file to the buffer.

    Args:
        filepath: the path to the file to add.
        delimiter: if this is a CSV file then a delimiter can be defined.

    Raises:
        TypeError: if the entry does not fulfill requirements.
    """
    self._ready()

    if not os.path.isfile(filepath):
        raise TypeError("Entry object needs to be a file that exists.")

    file_ending = filepath.lower().split(".")[-1]
    if file_ending == "csv":
        data_frame = pandas.read_csv(filepath, delimiter=delimiter)
        self.add_data_frame(data_frame)
    elif file_ending == "plaso":
        self._sketch.upload(self._timeline_name, filepath)
    elif file_ending == "jsonl":
        data_frame = None
        with open(filepath, "r") as fh:
            lines = [json.loads(x) for x in fh]
            data_frame = pandas.DataFrame(lines)
        if data_frame is None:
            raise TypeError("Unable to parse the JSON file.")
        if data_frame.empty:
            raise TypeError("Is the JSON file empty?")

        self.add_data_frame(data_frame)

    raise TypeError("File needs to have a file extension of: .csv, .jsonl or .plaso")


# Traceback (UnicodeEncodeError)
Traceback (most recent call last):
File "...lib/python2.7/site-packages/timesketch/lib/tasks.py", line 467, in run_csv_jsonl
for event in read_and_validate(source_file_path):
File ".../lib/python2.7/site-packages/timesketch/lib/utils.py", line 81, in read_and_validate_csv
for row in reader:
File "/usr/lib/python2.7/csv.py", line 108, in next
row = self.reader.next()
UnicodeEncodeError: 'ascii' codec can't encode character u'\u2019' in position 92: ordinal not in range(128)

# Fixed code
def add_file(self, filepath, delimiter=","):
    """Add a CSV, JSONL or a PLASO file to the buffer.

    Args:
        filepath: the path to the file to add.
        delimiter: if this is a CSV file then a delimiter can be defined.

    Raises:
        TypeError: if the entry does not fulfill requirements.
    """
    self._ready()

    if not os.path.isfile(filepath):
        raise TypeError("Entry object needs to be a file that exists.")

    file_ending = filepath.lower().split(".")[-1]
    if file_ending == "csv":
        data_frame = pandas.read_csv(filepath, delimiter=delimiter)
        self.add_data_frame(data_frame)
    elif file_ending == "plaso":
        self._sketch.upload(self._timeline_name, filepath)
    elif file_ending == "jsonl":
        data_frame = None
        with open(filepath, "r") as fh:
            lines = [json.loads(x) for x in fh]
            data_frame = pandas.DataFrame(lines)
        if data_frame is None:
            raise TypeError("Unable to parse the JSON file.")
        if data_frame.empty:
            raise TypeError("Is the JSON file empty?")

        self.add_data_frame(data_frame)
    else:
        raise TypeError(
            "File needs to have a file extension of: .csv, .jsonl or .plaso"
        )
# Buggy code
def get_hypothesis_conversions(self, location: str) -> Optional[Callable]:
    definitions = [
        item
        for item in self.definition.raw.get("parameters", [])
        if item["in"] == location
    ]
    if definitions:
        return self.schema.get_hypothesis_conversion(definitions)
    return None


# Traceback (KeyError)
An internal error happened during a test run
Error: Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/schemathesis/runner/__init__.py", line 245, in execute_from_schema
yield from runner.execute()
File "/usr/local/lib/python3.8/site-packages/schemathesis/runner/impl/core.py", line 100, in execute
for event in self._execute(results):
File "/usr/local/lib/python3.8/site-packages/schemathesis/runner/impl/solo.py", line 19, in _execute
yield from self._run_tests(
File "/usr/local/lib/python3.8/site-packages/schemathesis/runner/impl/core.py", line 126, in _run_tests
for endpoint, test in maker(template, settings, seed):
File "/usr/local/lib/python3.8/site-packages/schemathesis/schemas.py", line 79, in get_all_tests
test = make_test_or_exception(endpoint, func, settings, seed)
File "/usr/local/lib/python3.8/site-packages/schemathesis/_hypothesis.py", line 45, in make_test_or_exception
return create_test(endpoint, func, settings, seed=seed)
File "/usr/local/lib/python3.8/site-packages/schemathesis/_hypothesis.py", line 30, in create_test
strategy = endpoint.as_strategy(hooks=hook_dispatcher)
File "/usr/local/lib/python3.8/site-packages/schemathesis/models.py", line 285, in as_strategy
return get_case_strategy(self, hooks)
File "/usr/local/lib/python3.8/site-packages/schemathesis/_hypothesis.py", line 153, in get_case_strategy
parameter, value, endpoint.get_hypothesis_conversions(location)
File "/usr/local/lib/python3.8/site-packages/schemathesis/models.py", line 291, in get_hypothesis_conversions
definitions = [item for item in self.definition.raw.get("parameters", []) if item["in"] == location]
File "/usr/local/lib/python3.8/site-packages/schemathesis/models.py", line 291, in <listcomp>
definitions = [item for item in self.definition.raw.get("parameters", []) if item["in"] == location]
KeyError: 'in'

# Fixed code
def get_hypothesis_conversions(self, location: str) -> Optional[Callable]:
    definitions = [
        item
        for item in self.definition.resolved.get("parameters", [])
        if item["in"] == location
    ]
    if definitions:
        return self.schema.get_hypothesis_conversion(definitions)
    return None
# Buggy code
def get_all_endpoints(self) -> Generator[Endpoint, None, None]:
    try:
        paths = self.raw_schema["paths"]  # pylint: disable=unsubscriptable-object
        for path, methods in paths.items():
            full_path = self.get_full_path(path)
            if should_skip_endpoint(full_path, self.endpoint):
                continue
            methods = self.resolve(methods)
            common_parameters = get_common_parameters(methods)
            for method, definition in methods.items():
                if (
                    method == "parameters"
                    or should_skip_method(method, self.method)
                    or should_skip_by_tag(definition.get("tags"), self.tag)
                ):
                    continue
                parameters = itertools.chain(
                    definition.get("parameters", ()), common_parameters
                )
                yield self.make_endpoint(full_path, method, parameters, definition)
    except (KeyError, AttributeError, jsonschema.exceptions.RefResolutionError):
        raise InvalidSchema("Schema parsing failed. Please check your schema.")


# Traceback (AttributeError)
Traceback (most recent call last):
File "/var/lang/lib/python3.7/site-packages/schemathesis/schemas.py", line 210, in get_all_endpoints
or should_skip_by_tag(definition.get("tags"), self.tag)
AttributeError: 'str' object has no attribute 'get'

# Fixed code
def get_all_endpoints(self) -> Generator[Endpoint, None, None]:
    try:
        paths = self.raw_schema["paths"]  # pylint: disable=unsubscriptable-object
        for path, methods in paths.items():
            full_path = self.get_full_path(path)
            if should_skip_endpoint(full_path, self.endpoint):
                continue
            methods = self.resolve(methods)
            common_parameters = get_common_parameters(methods)
            for method, definition in methods.items():
                # Only method definitions are parsed
                if (
                    method == "parameters"
                    or method.startswith("x-")
                    or should_skip_method(method, self.method)
                    or should_skip_by_tag(definition.get("tags"), self.tag)
                ):
                    continue
                parameters = itertools.chain(
                    definition.get("parameters", ()), common_parameters
                )
                yield self.make_endpoint(full_path, method, parameters, definition)
    except (KeyError, AttributeError, jsonschema.exceptions.RefResolutionError):
        raise InvalidSchema("Schema parsing failed. Please check your schema.")
# Buggy code
def display_errors(results: TestResultSet) -> None:
    """Display all errors in the test run."""
    if not results.has_errors:
        return

    display_section_name("ERRORS")
    for result in results.results:
        if not result.has_errors:
            continue
        display_single_error(result)


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def display_errors(results: TestResultSet) -> None:
    """Display all errors in the test run."""
    if not results.has_errors:
        return

    display_section_name("ERRORS")
    for result in results:
        if not result.has_errors:
            continue
        display_single_error(result)
# Buggy code
def display_single_error(result: TestResult) -> None:
    display_subsection(result)
    for error in result.errors:
        message = "".join(traceback.format_exception_only(type(error), error))
        click.secho(message, fg="red")


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def display_single_error(result: TestResult) -> None:
    display_subsection(result)
    for error, example in result.errors:
        message = "".join(traceback.format_exception_only(type(error), error))
        click.secho(message, fg="red")
        if example is not None:
            display_example(example)
# Buggy code
def display_failures(results: TestResultSet) -> None:
    """Display all failures in the test run."""
    if not results.has_failures:
        return

    display_section_name("FAILURES")
    for result in results.results:
        if not result.has_failures:
            continue
        display_single_failure(result)


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def display_failures(results: TestResultSet) -> None:
    """Display all failures in the test run."""
    if not results.has_failures:
        return
    relevant_results = [result for result in results if not result.is_errored]
    if not relevant_results:
        return
    display_section_name("FAILURES")
    for result in relevant_results:
        if not result.has_failures:
            continue
        display_single_failure(result)
# Buggy code
def display_single_failure(result: TestResult) -> None:
    """Display a failure for a single method / endpoint."""
    display_subsection(result)
    for check in reversed(result.checks):
        if check.example is not None:
            output = {
                make_verbose_name(attribute): getattr(check.example, attribute.name)
                for attribute in Case.__attrs_attrs__  # type: ignore
                if attribute.name not in ("path", "method", "base_url")
            }
            max_length = max(map(len, output))
            template = f"{{:<{max_length}}} : {{}}"
            click.secho(template.format("Check", check.name), fg="red")
            for key, value in output.items():
                if (key == "Body" and value is not None) or value not in (None, {}):
                    click.secho(template.format(key, value), fg="red")
            # Display only the latest case
            # (dd): It is possible to find multiple errors, but the simplest option for now is to display
            # the latest and avoid deduplication, which will be done in the future.
            break


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def display_single_failure(result: TestResult) -> None:
    """Display a failure for a single method / endpoint."""
    display_subsection(result)
    for check in reversed(result.checks):
        if check.example is not None:
            display_example(check.example, check.name)
            # Display only the latest case
            # (dd): It is possible to find multiple errors, but the simplest option for now is to display
            # the latest and avoid deduplication, which will be done in the future.
            break
# Buggy code
def add_success(self, name: str) -> None:
    self.checks.append(Check(name, Status.success))


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def add_success(self, name: str, example: Case) -> None:
    self.checks.append(Check(name, Status.success, example))
# Buggy code
def add_error(self, exception: Exception) -> None:
    self.errors.append(exception)


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def add_error(self, exception: Exception, example: Optional[Case] = None) -> None:
    self.errors.append((exception, example))
# Buggy code
def capture_hypothesis_output() -> Generator[List[str], None, None]:
    """Capture all output of Hypothesis into a list of strings.

    It allows us to have more granular control over Schemathesis output.

    Usage::

        @given(i=st.integers())
        def test(i):
            assert 0

        with capture_hypothesis_output() as output:
            test()  # hypothesis test
            # output == ["Falsifying example: test(i=0)"]
    """
    output = []

    def get_output(value: str) -> None:
        # Drop messages that could be confusing in the Schemathesis context
        if value.startswith(("Falsifying example: ", "You can add @seed")):
            return
        output.append(value)

    # the following context manager is untyped
    with with_reporter(get_output):  # type: ignore
        yield output


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def capture_hypothesis_output() -> Generator[List[str], None, None]:
    """Capture all output of Hypothesis into a list of strings.

    It allows us to have more granular control over Schemathesis output.

    Usage::

        @given(i=st.integers())
        def test(i):
            assert 0

        with capture_hypothesis_output() as output:
            test()  # hypothesis test
            # output == ["Falsifying example: test(i=0)"]
    """
    output = []

    def get_output(value: str) -> None:
        # Drop messages that could be confusing in the Schemathesis context
        if value.startswith(
            (
                "Falsifying example: ",
                "You can add @seed",
                "Failed to reproduce exception. Expected:",
            )
        ):
            return
        output.append(value)

    # the following context manager is untyped
    with with_reporter(get_output):  # type: ignore
        yield output
# Buggy code
def get_output(value: str) -> None:
    # Drop messages that could be confusing in the Schemathesis context
    if value.startswith(("Falsifying example: ", "You can add @seed")):
        return
    output.append(value)


# Traceback (AssertionError)
Failed to reproduce exception. Expected:
Traceback (most recent call last):
File "/home/stranger6667/programming/PycharmProjects/schemathesis/src/schemathesis/runner/__init__.py", line 148, in single_test
raise AssertionError
AssertionError

# Fixed code
def get_output(value: str) -> None:
    # Drop messages that could be confusing in the Schemathesis context
    if value.startswith(
        (
            "Falsifying example: ",
            "You can add @seed",
            "Failed to reproduce exception. Expected:",
        )
    ):
        return
    output.append(value)
# Buggy code
def score_candidate(self, word_a, word_b, in_between):
    # Micro optimization: check for quick early-out conditions, before the actual scoring.
    word_a_cnt = self.vocab[word_a]
    if word_a_cnt <= 0:
        return None, None

    word_b_cnt = self.vocab[word_b]
    if word_b_cnt <= 0:
        return None, None

    phrase = self.delimiter.join([word_a] + in_between + [word_b])
    # XXX: Why do we care about *all* phrase tokens? Why not just score the start+end bigram?
    phrase_cnt = self.vocab[phrase]
    if phrase_cnt <= 0:
        return None, None

    score = self.scoring(
        worda_count=word_a_cnt,
        wordb_count=word_b_cnt,
        bigram_count=phrase_cnt,
        len_vocab=len(self.vocab),
        min_count=self.min_count,
        corpus_word_count=self.corpus_word_count,
    )
    if score <= self.threshold:
        return None, None

    return phrase, score


# Traceback (RuntimeError)
RuntimeError                              Traceback (most recent call last)
<ipython-input-190-0f7e41471301> in <module>
----> 1 trigrams.export_phrases()

~\Anaconda3\lib\site-packages\gensim\models\phrases.py in export_phrases(self)
716         """
717         result, source_vocab = {}, self.vocab
--> 718         for token in source_vocab:
719             unigrams = token.split(self.delimiter)
720             if len(unigrams) < 2:

RuntimeError: dictionary changed size during iteration

# Fixed code
def score_candidate(self, word_a, word_b, in_between):
    # Micro optimization: check for quick early-out conditions, before the actual scoring.
    word_a_cnt = self.vocab.get(word_a, 0)
    if word_a_cnt <= 0:
        return None, None

    word_b_cnt = self.vocab.get(word_b, 0)
    if word_b_cnt <= 0:
        return None, None

    phrase = self.delimiter.join([word_a] + in_between + [word_b])
    # XXX: Why do we care about *all* phrase tokens? Why not just score the start+end bigram?
    phrase_cnt = self.vocab.get(phrase, 0)
    if phrase_cnt <= 0:
        return None, None

    score = self.scoring(
        worda_count=word_a_cnt,
        wordb_count=word_b_cnt,
        bigram_count=phrase_cnt,
        len_vocab=len(self.vocab),
        min_count=self.min_count,
        corpus_word_count=self.corpus_word_count,
    )
    if score <= self.threshold:
        return None, None

    return phrase, score
# Buggy code
def load(cls, fname_or_handle, **kwargs):
    model = super(WordEmbeddingsKeyedVectors, cls).load(fname_or_handle, **kwargs)
    if not hasattr(model, "compatible_hash"):
        model.compatible_hash = False

    if hasattr(model, "hash2index"):
        _rollback_optimization(model)

    return model


# Traceback (IndexError)
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-14-5fac1e42e24a> in <module>()
----> 1 ft2.wv.word_vec('слово123')

~/anaconda3/lib/python3.6/site-packages/gensim/models/keyedvectors.py in word_vec(self, word, use_norm)
2111                 return word_vec
2112             for nh in ngram_hashes:
-> 2113                 word_vec += ngram_weights[nh]
2114             return word_vec / len(ngram_hashes)
2115

IndexError: index 1369364 is out of bounds for axis 0 with size 27355

# Fixed code
def load(cls, fname_or_handle, **kwargs):
    model = super(WordEmbeddingsKeyedVectors, cls).load(fname_or_handle, **kwargs)
    _try_upgrade(model)
    return model