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Failed
notebooks.Visualizations.ipynb./mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb (from pytest)
Error Message
nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell: ------------------ meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')]) meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed ------------------ #x1B[0;31m---------------------------------------------------------------------------#x1B[0m #x1B[0;31mAttributeError#x1B[0m Traceback (most recent call last) #x1B[0;32m<ipython-input-3-9f07ddf53acf>#x1B[0m in #x1B[0;36m<module>#x1B[0;34m()#x1B[0m #x1B[0;32m----> 1#x1B[0;31m #x1B[0mmeta#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mpd#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mconcat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mmetadata#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mfname2metadata#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;32mfor#x1B[0m #x1B[0mpath#x1B[0m #x1B[0;32min#x1B[0m #x1B[0mpath_to_corpus#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mglob#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'*.txt'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0m#x1B[1;32m 2#x1B[0m #x1B[0mmeta#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;36m5#x1B[0m#x1B[0;34m]#x1B[0m #x1B[0;31m# by adding '[:5]' to the variable, only the first 5 elements will be printed#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m<ipython-input-3-9f07ddf53acf>#x1B[0m in #x1B[0;36m<listcomp>#x1B[0;34m(.0)#x1B[0m #x1B[0;32m----> 1#x1B[0;31m #x1B[0mmeta#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mpd#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mconcat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mmetadata#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mfname2metadata#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;32mfor#x1B[0m #x1B[0mpath#x1B[0m #x1B[0;32min#x1B[0m #x1B[0mpath_to_corpus#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mglob#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'*.txt'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0m#x1B[1;32m 2#x1B[0m #x1B[0mmeta#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;36m5#x1B[0m#x1B[0;34m]#x1B[0m #x1B[0;31m# by adding '[:5]' to the variable, only the first 5 elements will be printed#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/metadata_toolbox/utils.py#x1B[0m in #x1B[0;36mfname2metadata#x1B[0;34m(fname, pattern)#x1B[0m #x1B[1;32m 60#x1B[0m """ #x1B[1;32m 61#x1B[0m #x1B[0mlog#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mdebug#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m"Extracting metadata from filename '{0}' with pattern '{1}' ..."#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mformat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mfname#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m---> 62#x1B[0;31m #x1B[0mbasename#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0m_#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mos#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0msplitext#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mos#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mbasename#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mfname#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0m#x1B[1;32m 63#x1B[0m #x1B[0mmetadata#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mparse#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mbasename#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[1;32m 64#x1B[0m #x1B[0;32mif#x1B[0m #x1B[0mmetadata#x1B[0m #x1B[0;32mis#x1B[0m #x1B[0;32mnot#x1B[0m #x1B[0;32mNone#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/posixpath.py#x1B[0m in #x1B[0;36mbasename#x1B[0;34m(p)#x1B[0m #x1B[1;32m 137#x1B[0m #x1B[0;34m"""Returns the final component of a pathname"""#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[1;32m 138#x1B[0m #x1B[0msep#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0m_get_sep#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mp#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m--> 139#x1B[0;31m #x1B[0mi#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mp#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mrfind#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0msep#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;34m+#x1B[0m #x1B[0;36m1#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0m#x1B[1;32m 140#x1B[0m #x1B[0;32mreturn#x1B[0m #x1B[0mp#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mi#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[1;32m 141#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m #x1B[0;31mAttributeError#x1B[0m: 'PosixPath' object has no attribute 'rfind' AttributeError: 'PosixPath' object has no attribute 'rfind'Stacktrace
self = <CallInfo when='call' exception: An error occurred while executing the following cell:
------------------
meta = pd.co...uteError#x1B[0m: 'PosixPath' object has no attribute 'rfind'
AttributeError: 'PosixPath' object has no attribute 'rfind'
>
func = <function call_runtest_hook.<locals>.<lambda> at 0x7fdcff53e730>
when = 'call', treat_keyboard_interrupt_as_exception = False
def __init__(self, func, when, treat_keyboard_interrupt_as_exception=False):
#: context of invocation: one of "setup", "call",
#: "teardown", "memocollect"
self.when = when
self.start = time()
try:
> self.result = func()
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:194:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> return CallInfo(lambda: ihook(item=item, **kwds), when=when,
treat_keyboard_interrupt_as_exception=item.config.getvalue("usepdb"))
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:179:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <_HookCaller 'pytest_runtest_call'>, args = ()
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
notincall = set()
def __call__(self, *args, **kwargs):
if args:
raise TypeError("hook calling supports only keyword arguments")
assert not self.is_historic()
if self.argnames:
notincall = set(self.argnames) - set(['__multicall__']) - set(
kwargs.keys())
if notincall:
warnings.warn(
"Argument(s) {} which are declared in the hookspec "
"can not be found in this hook call"
.format(tuple(notincall)),
stacklevel=2,
)
> return self._hookexec(self, self._nonwrappers + self._wrappers, kwargs)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:617:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <_pytest.config.PytestPluginManager object at 0x7fdd2e3c82b0>
hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
def _hookexec(self, hook, methods, kwargs):
# called from all hookcaller instances.
# enable_tracing will set its own wrapping function at self._inner_hookexec
> return self._inner_hookexec(hook, methods, kwargs)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:222:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
self._inner_hookexec = lambda hook, methods, kwargs: \
hook.multicall(
methods, kwargs,
> firstresult=hook.spec_opts.get('firstresult'),
)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:216:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
firstresult = False
def _multicall(hook_impls, caller_kwargs, firstresult=False):
"""Execute a call into multiple python functions/methods and return the
result(s).
``caller_kwargs`` comes from _HookCaller.__call__().
"""
__tracebackhide__ = True
results = []
excinfo = None
try: # run impl and wrapper setup functions in a loop
teardowns = []
try:
for hook_impl in reversed(hook_impls):
try:
args = [caller_kwargs[argname] for argname in hook_impl.argnames]
except KeyError:
for argname in hook_impl.argnames:
if argname not in caller_kwargs:
raise HookCallError(
"hook call must provide argument %r" % (argname,))
if hook_impl.hookwrapper:
try:
gen = hook_impl.function(*args)
next(gen) # first yield
teardowns.append(gen)
except StopIteration:
_raise_wrapfail(gen, "did not yield")
else:
res = hook_impl.function(*args)
if res is not None:
results.append(res)
if firstresult: # halt further impl calls
break
except BaseException:
excinfo = sys.exc_info()
finally:
if firstresult: # first result hooks return a single value
outcome = _Result(results[0] if results else None, excinfo)
else:
outcome = _Result(results, excinfo)
# run all wrapper post-yield blocks
for gen in reversed(teardowns):
try:
gen.send(outcome)
_raise_wrapfail(gen, "has second yield")
except StopIteration:
pass
> return outcome.get_result()
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:201:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <pluggy.callers._Result object at 0x7fdcff4aeb00>
def get_result(self):
"""Get the result(s) for this hook call.
If the hook was marked as a ``firstresult`` only a single value
will be returned otherwise a list of results.
"""
__tracebackhide__ = True
if self._excinfo is None:
return self._result
else:
ex = self._excinfo
if _py3:
> raise ex[1].with_traceback(ex[2])
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:76:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
firstresult = False
def _multicall(hook_impls, caller_kwargs, firstresult=False):
"""Execute a call into multiple python functions/methods and return the
result(s).
``caller_kwargs`` comes from _HookCaller.__call__().
"""
__tracebackhide__ = True
results = []
excinfo = None
try: # run impl and wrapper setup functions in a loop
teardowns = []
try:
for hook_impl in reversed(hook_impls):
try:
args = [caller_kwargs[argname] for argname in hook_impl.argnames]
except KeyError:
for argname in hook_impl.argnames:
if argname not in caller_kwargs:
raise HookCallError(
"hook call must provide argument %r" % (argname,))
if hook_impl.hookwrapper:
try:
gen = hook_impl.function(*args)
next(gen) # first yield
teardowns.append(gen)
except StopIteration:
_raise_wrapfail(gen, "did not yield")
else:
> res = hook_impl.function(*args)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:180:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
item = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>
def pytest_runtest_call(item):
_update_current_test_var(item, 'call')
sys.last_type, sys.last_value, sys.last_traceback = (None, None, None)
try:
> item.runtest()
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:110:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>
def runtest(self):
self._skip()
with io.open(self.name,encoding='utf8') as nb:
notebook = nbformat.read(nb, as_version=4)
# TODO: which kernel? run in pytest's or use new one (make it option)
_timeout = self.parent.parent.config.getini('cell_timeout')
kwargs = dict(timeout=int(_timeout) if _timeout!='' else 300,
allow_errors=False,
# or sys.version_info[1] ?
kernel_name='python')
ep = ExecutePreprocessor(**kwargs)
with cwd(os.path.dirname(self.name)): # jupyter notebook always does this, right?
> ep.preprocess(notebook,{})
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pytest_nbsmoke.py:136:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff4ae0f0>
nb = {'metadata': {'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': 'ipython3', 'mimetype': 'text/x-pyth...show(interactive_barchart_per_document, notebook_handle=True)", 'metadata': {'scrolled': False}, 'cell_type': 'code'}]}
resources = {}
def preprocess(self, nb, resources):
"""
Preprocess notebook executing each code cell.
The input argument `nb` is modified in-place.
Parameters
----------
nb : NotebookNode
Notebook being executed.
resources : dictionary
Additional resources used in the conversion process. For example,
passing ``{'metadata': {'path': run_path}}`` sets the
execution path to ``run_path``.
Returns
-------
nb : NotebookNode
The executed notebook.
resources : dictionary
Additional resources used in the conversion process.
"""
path = resources.get('metadata', {}).get('path', '')
if path == '':
path = None
# clear display_id map
self._display_id_map = {}
# from jupyter_client.manager import start_new_kernel
def start_new_kernel(startup_timeout=60, kernel_name='python', **kwargs):
km = self.kernel_manager_class(kernel_name=kernel_name)
km.start_kernel(**kwargs)
kc = km.client()
kc.start_channels()
try:
kc.wait_for_ready(timeout=startup_timeout)
except RuntimeError:
kc.stop_channels()
km.shutdown_kernel()
raise
return km, kc
kernel_name = nb.metadata.get('kernelspec', {}).get('name', 'python')
if self.kernel_name:
kernel_name = self.kernel_name
self.log.info("Executing notebook with kernel: %s" % kernel_name)
self.km, self.kc = start_new_kernel(
startup_timeout=self.startup_timeout,
kernel_name=kernel_name,
extra_arguments=self.extra_arguments,
cwd=path)
self.kc.allow_stdin = False
self.nb = nb
try:
> nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:262:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff4ae0f0>
nb = {'metadata': {'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': 'ipython3', 'mimetype': 'text/x-pyth...show(interactive_barchart_per_document, notebook_handle=True)", 'metadata': {'scrolled': False}, 'cell_type': 'code'}]}
resources = {}
def preprocess(self, nb, resources):
"""
Preprocessing to apply on each notebook.
Must return modified nb, resources.
If you wish to apply your preprocessing to each cell, you might want
to override preprocess_cell method instead.
Parameters
----------
nb : NotebookNode
Notebook being converted
resources : dictionary
Additional resources used in the conversion process. Allows
preprocessors to pass variables into the Jinja engine.
"""
for index, cell in enumerate(nb.cells):
> nb.cells[index], resources = self.preprocess_cell(cell, resources, index)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/base.py:69:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff4ae0f0>
cell = {'execution_count': 3, 'outputs': [{'evalue': "'PosixPath' object has no attribute 'rfind'", 'output_type': 'error', '...5] # by adding '[:5]' to the variable, only the first 5 elements will be printed", 'metadata': {}, 'cell_type': 'code'}
resources = {}, cell_index = 2
def preprocess_cell(self, cell, resources, cell_index):
"""
Executes a single code cell. See base.py for details.
To execute all cells see :meth:`preprocess`.
"""
if cell.cell_type != 'code':
return cell, resources
reply, outputs = self.run_cell(cell, cell_index)
cell.outputs = outputs
if not self.allow_errors:
for out in outputs:
if out.output_type == 'error':
> raise CellExecutionError.from_cell_and_msg(cell, out)
E nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell:
E ------------------
E meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E ------------------
E
E #x1B[0;31m---------------------------------------------------------------------------#x1B[0m
E #x1B[0;31mAttributeError#x1B[0m Traceback (most recent call last)
E #x1B[0;32m<ipython-input-3-9f07ddf53acf>#x1B[0m in #x1B[0;36m<module>#x1B[0;34m()#x1B[0m
E #x1B[0;32m----> 1#x1B[0;31m #x1B[0mmeta#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mpd#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mconcat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mmetadata#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mfname2metadata#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;32mfor#x1B[0m #x1B[0mpath#x1B[0m #x1B[0;32min#x1B[0m #x1B[0mpath_to_corpus#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mglob#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'*.txt'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0m#x1B[1;32m 2#x1B[0m #x1B[0mmeta#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;36m5#x1B[0m#x1B[0;34m]#x1B[0m #x1B[0;31m# by adding '[:5]' to the variable, only the first 5 elements will be printed#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E
E #x1B[0;32m<ipython-input-3-9f07ddf53acf>#x1B[0m in #x1B[0;36m<listcomp>#x1B[0;34m(.0)#x1B[0m
E #x1B[0;32m----> 1#x1B[0;31m #x1B[0mmeta#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mpd#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mconcat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mmetadata#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mfname2metadata#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;32mfor#x1B[0m #x1B[0mpath#x1B[0m #x1B[0;32min#x1B[0m #x1B[0mpath_to_corpus#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mglob#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'*.txt'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0m#x1B[1;32m 2#x1B[0m #x1B[0mmeta#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;36m5#x1B[0m#x1B[0;34m]#x1B[0m #x1B[0;31m# by adding '[:5]' to the variable, only the first 5 elements will be printed#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E
E #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/metadata_toolbox/utils.py#x1B[0m in #x1B[0;36mfname2metadata#x1B[0;34m(fname, pattern)#x1B[0m
E #x1B[1;32m 60#x1B[0m """
E #x1B[1;32m 61#x1B[0m #x1B[0mlog#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mdebug#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m"Extracting metadata from filename '{0}' with pattern '{1}' ..."#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mformat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mfname#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0;32m---> 62#x1B[0;31m #x1B[0mbasename#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0m_#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mos#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0msplitext#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mos#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mbasename#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mfname#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0m#x1B[1;32m 63#x1B[0m #x1B[0mmetadata#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mparse#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mbasename#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[1;32m 64#x1B[0m #x1B[0;32mif#x1B[0m #x1B[0mmetadata#x1B[0m #x1B[0;32mis#x1B[0m #x1B[0;32mnot#x1B[0m #x1B[0;32mNone#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E
E #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/posixpath.py#x1B[0m in #x1B[0;36mbasename#x1B[0;34m(p)#x1B[0m
E #x1B[1;32m 137#x1B[0m #x1B[0;34m"""Returns the final component of a pathname"""#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[1;32m 138#x1B[0m #x1B[0msep#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0m_get_sep#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mp#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0;32m--> 139#x1B[0;31m #x1B[0mi#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mp#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mrfind#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0msep#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;34m+#x1B[0m #x1B[0;36m1#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0m#x1B[1;32m 140#x1B[0m #x1B[0;32mreturn#x1B[0m #x1B[0mp#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mi#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[1;32m 141#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m
E
E #x1B[0;31mAttributeError#x1B[0m: 'PosixPath' object has no attribute 'rfind'
E AttributeError: 'PosixPath' object has no attribute 'rfind'
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:286: CellExecutionError