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Traceback (most recent call last):
"management/ssl_certificates.py", line 803, in <module>
provision_certificates_cmdline()
"management/ssl_certificates.py", line 446, in provision_certificates_cmd
line
status = provision_certificates(env, agree_to_tos_url=agree_to_tos_url, logg
er=my_logger, force_domains=force_domains, show_extended_problems=show_extended_
problems)
"management/ssl_certificates.py", line 331, in provision_certificates
logger=my_logger)
"/usr/local/lib/mailinabox/env/lib/python3.4/site-packages/free_tls_certi
ficates/client.py", line 64, in issue_certificate
agree_to_tos_url, validation_method, acme_server, logger)
"/usr/local/lib/mailinabox/env/lib/python3.4/site-packages/free_tls_certi
ficates/client.py", line 112, in validate_domain_ownership
acme_server=acme_server)
"/usr/local/lib/mailinabox/env/lib/python3.4/site-packages/free_tls_certi
ficates/client.py", line 314, in create_client
key = load_or_generate_private_key(account_key_file, log)
"/usr/local/lib/mailinabox/env/lib/python3.4/site-packages/free_tls_certi
ficates/client.py", line 337, in load_or_generate_private_key
from acme import jose
ImportError: cannot import name 'jose'
|
Traceback (most recent call last):
"<string>", line 1, in <module>
"/tmp/pip-build-hi5zbab6/creme/setup.py", line 125, in <module>
compiler_directives={'language_level': 3}
"/tmp/pip-build-hi5zbab6/creme/setup.py", line 20, in cythonize
from Cython.Build import cythonize
ImportError: No module named 'Cython'`
| 0.591771
|
Traceback (most recent call last):
"/opt/Meshroom/meshroom/ui/reconstruction.py", line 106, in timerEvent
"/opt/Meshroom/meshroom/ui/reconstruction.py", line 115, in update
TypeError: '
sByType' object is not iterable
|
Traceback (most recent call last):
"/usr/local/lib/python3.7/asyncio/runners.py", line 43, in run
return loop.run_until_complete(main)
"/usr/local/lib/python3.7/asyncio/base_events.py", line 583, in run_until_complete
return future.result()
"/usr/src/homeassistant/homeassistant/__main__.py", line 249, in setup_and_run_hass
safe_mode=args.safe_mode,
"/usr/src/homeassistant/homeassistant/bootstrap.py", line 89, in async_setup_hass
await async_from_config_dict(config_dict, hass)
"/usr/src/homeassistant/homeassistant/bootstrap.py", line 132, in async_from_config_dict
await _async_set_up_integrations(hass, config)
"/usr/src/homeassistant/homeassistant/bootstrap.py", line 377, in _async_set_up_integrations
*(async_setup_component(hass, domain, config) for domain in domains_to_load)
"/usr/src/homeassistant/homeassistant/setup.py", line 49, in async_setup_component
return await task
# type: ignore
"/usr/src/homeassistant/homeassistant/setup.py", line 145, in _async_setup_component
hass, config, integration
"/usr/src/homeassistant/homeassistant/config.py", line 704, in async_process_component_config
return component.CONFIG_SCHEMA(config)
# type: ignore
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 272, in __call__
return self._compiled([], data)
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 594, in validate_dict
return base_validate(path, iteritems(data), out)
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 386, in validate_mapping
cval = cvalue(key_path, value)
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 817, in validate_callable
return schema(data)
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 272, in __call__
return self._compiled([], data)
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 594, in validate_dict
return base_validate(path, iteritems(data), out)
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 373, in validate_mapping
new_key = ckey(key_path, key)
"/usr/local/lib/python3.7/site-packages/voluptuous/schema_builder.py", line 817, in validate_callable
return schema(data)
"/usr/src/homeassistant/homeassistant/helpers/config_validation.py", line 659, in validator
value = config[key]
TypeError: string indices must be integers
| 0.552874
|
Traceback (most recent call last):
"/nirat/feelVOS/python2/feelvos/vis_video.py", line 500, in <module>
tf.app.run()
"/nirat/anaconda3/envs/feelvos1/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
"/nirat/anaconda3/envs/feelvos1/lib/python2.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
"/nirat/anaconda3/envs/feelvos1/lib/python2.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
"/nirat/feelVOS/python2/feelvos/vis_video.py", line 480, in main
all_ious = np.concatenate(all_ious, axis=0)
ValueError: need at least one array to concatenate
|
Traceback (most recent call last):
"train.py", line 29, in <module>
adj, features, y_train, y_val, y_test, train_mask, val_mask, test_mask = load_data(FLAGS.dataset)
"/Users/liqimai/anaconda3/lib/python3.5/site-packages/gcn-1.0-py3.5.egg/gcn/utils.py", line 51, in load_data
features[test_idx_reorder, :] = features[test_idx_range, :]
"/Users/liqimai/anaconda3/lib/python3.5/site-packages/scipy/sparse/lil.py", line 289, in __getitem__
return self._get_row_ranges(i, j)
"/Users/liqimai/anaconda3/lib/python3.5/site-packages/scipy/sparse/lil.py", line 329, in _get_row_ranges
j_start, j_stop, j_stride, nj)
"scipy/sparse/_csparsetools.pyx", line 787, in scipy.sparse._csparsetools.lil_get_row_ranges (scipy/sparse/_csparsetools.c:11978)
ValueError: row index 9897 out of bounds
| 0.589643
|
Traceback (most recent call last):
"F:\SublimeText\sublime_plugin.py", line 654, in on_text_command
res = callback.on_text_command(v, name, args)
"F:\SublimeText\Data\Packages\LSP\plugin\completion.py", line 74, in on_text_command
if settings.resolve_completion_for_snippets and current_completion:
AttributeError: 'NoneType' object has no attribute 'resolve_completion_for_snippets'
|
> Traceback (most recent call last):
"../miniconda3/lib/python3.6/site-packages/transformers/modeling_utils.py", line 516, in from_pretrained
state_dict = torch.load(resolved_archive_file, map_location="cpu")
"../miniconda3/lib/python3.6/site-packages/torch/serialization.py", line 525, in load
with _open_file_like(f, 'rb') as opened_file:
"../miniconda3/lib/python3.6/site-packages/torch/serialization.py", line 217, in _open_file_like
return _open_buffer_reader(name_or_buffer)
"../miniconda3/lib/python3.6/site-packages/torch/serialization.py", line 202, in __init__
_check_seekable(buffer)
"../miniconda3/lib/python3.6/site-packages/torch/serialization.py", line 292, in _check_seekable
raise_err_msg(["seek", "tell"], e)
"/home/anlausch/miniconda3/lib/python3.6/site-packages/torch/serialization.py", line 285, in raise_err_msg
raise type(e)(msg)
AttributeError: 'NoneType' object has no attribute 'seek'. You can only torch.load from a file that is seekable. Please pre-load the data into a buffer like io.BytesIO and try to load from it instead.
| 0.598269
|
Traceback (most recent call last):
"/usr/bin/ldapdomaindump", line 3, in <module>
ldapdomaindump.main()
"/usr/lib/python3/dist-packages/ldapdomaindump/__init__.py", line 912, in main
if not c.bind():
"/usr/lib/python3/dist-packages/ldap3/core/connection.py", line 563, in bind
response = self.do_ntlm_bind(controls)
"/usr/lib/python3/dist-packages/ldap3/core/connection.py", line 1302, in do_ntlm_bind
request = bind_operation(self.version, 'SICILY_RESPONSE_NTLM', ntlm_client, result['server_creds'])
"/usr/lib/python3/dist-packages/ldap3/operation/bind.py", line 81, in bind_operation
server_creds = name.create_authenticate_message()
"/usr/lib/python3/dist-packages/ldap3/utils/ntlm.py", line 379, in create_authenticate_message
nt_challenge_response = self.compute_nt_response()
"/usr/lib/python3/dist-packages/ldap3/utils/ntlm.py", line 485, in compute_nt_response
response_key_nt = self.ntowf_v2()
"/usr/lib/python3/dist-packages/ldap3/utils/ntlm.py", line 497, in ntowf_v2
return hmac.new(password_digest, (self.user_name.upper() + self.user_domain).encode('utf-16-le')).digest()
"/usr/lib/python3.8/hmac.py", line 153, in new
return HMAC(key, msg, digestmod)
"/usr/lib/python3.8/hmac.py", line 51, in __init__
raise TypeError("Missing required parameter 'digestmod'.")
TypeError: Missing required parameter 'digestmod'.
|
Traceback (most recent call last):
"val1000.py", line 271, in <module>
a = TrainModel(i)
"val1000.py", line 124, in __init__
self.model = models.squeezenet1_1(pretrained=True)
"/home/min/a/ghosh37/.conda/envs/5.2.0/soumendu/lib/python3.7/site-packages/torchvision-0.2.1-py3.7.egg/torchvision/models/squeezenet.py", line 129, in squeezenet1_1
"/home/min/a/ghosh37/.conda/envs/5.2.0/soumendu/lib/python3.7/site-packages/torch/nn/modules/module.py", line 704, in load_state_dict
load(self)
"/home/min/a/ghosh37/.conda/envs/5.2.0/soumendu/lib/python3.7/site-packages/torch/nn/modules/module.py", line 699, in load
state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs)
"/home/min/a/ghosh37/.conda/envs/5.2.0/soumendu/lib/python3.7/site-packages/torch/nn/modules/module.py", line 667, in _load_from_state_dict
if key.startswith(prefix):
TypeError: startswith first arg must be bytes or a tuple of bytes, not str
| 0.595367
|
Traceback (most recent call last):
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/widgets/sidebar.py", line 82, in on_configure_runner
RunnerConfigDialog(self.runner, parent=self.get_toplevel())
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/runner.py", line 26, in __init__
self.build_tabs("runner")
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/common.py", line 76, in build_tabs
self._build_runner_tab(config_level)
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/common.py", line 355, in _build_runner_tab
self.runner_box = RunnerBox(self.lutris_config, self.game)
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/boxes.py", line 649, in __init__
self.generate_widgets("runner")
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/boxes.py", line 100, in generate_widgets
self.call_widget_generator(option, option_key, value, default)
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/boxes.py", line 165, in call_widget_generator
self.generate_combobox(option_key, option["choices"], option["label"], value, default)
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/boxes.py", line 316, in generate_combobox
self._populate_combobox_choices(liststore, choices, default)
"/home/hu60/.local/lib/python3.7/site-packages/lutris/gui/config/boxes.py", line 303, in _populate_combobox_choices
for choice in choices:
TypeError: 'staticmethod' object is not iterable
|
Traceback (most recent call last):
"/usr/local/bin/calamari-predict", line 8, in <module>
sys.exit(main())
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/scripts/predict.py", line 196, in main
run(args)
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/scripts/predict.py", line 98, in run
predictor = MultiPredictor.from_paths(checkpoints=args.checkpoint, voter_params=voter_params, predictor_params=PredictorParams(silent=True, progress_bar=not args.no_progress_bars))
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/predict/predictor.py", line 48, in from_paths
checkpoints = [SavedCalamariModel(ckpt, auto_update=auto_update_checkpoints) for ckpt in checkpoints]
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/predict/predictor.py", line 48, in <listcomp>
checkpoints = [SavedCalamariModel(ckpt, auto_update=auto_update_checkpoints) for ckpt in checkpoints]
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/savedmodel/saved_model.py", line 32, in __init__
self.update_checkpoint()
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/savedmodel/saved_model.py", line 53, in update_checkpoint
self._single_upgrade()
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/savedmodel/saved_model.py", line 71, in _single_upgrade
self.dict = migrate(self.dict)
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/savedmodel/migrations/version2to3.py", line 207, in migrate
convert_text_processor(text_preprocessor)
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/savedmodel/migrations/version2to3.py", line 166, in convert_text_processor
recurse_convert(proc)
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/savedmodel/migrations/version2to3.py", line 148, in recurse_convert
recurse_convert(c)
"/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/savedmodel/migrations/version2to3.py", line 155, in recurse_convert
flat.append(text_processor("BidiTextProcessor", args={'bidi_direction': conv[p.get('bidiDirection', 0)]}))
TypeError: list indices must be integers or slices, not str`
| 0.591271
|
Traceback (most recent call last):
"E:\weiboSpider.py", line 254, in get_user
weibo_num = int(user_info[0][3:-1])
ValueError: invalid literal for int() with base 10: ''
|
Traceback (most recent call last):
"C:\Users\Churi\anaconda3\lib\tarfile.py", line 189, in nti
n = int(s.strip() or "0", 8)
ValueError: invalid literal for int() with base 8: '_v2\nq\x03(('
| 0.664505
|
Traceback (most recent call last):
"__main__.py", line 19, in <module>
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\__init__.py", line 465, in main
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\__init__.py", line 455, in _real_main
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\YoutubeDL.py", line 1988, in download
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\YoutubeDL.py", line 784, in extract_info
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\extractor\common.py", line 438, in extract
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\extractor\mtv.py", line 286, in _real_extract
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\extractor\mtv.py", line 212, in _get_videos_info
"C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmpheifp6ll\build\youtube_dl\extractor\mtv.py", line 38, in _id_from_uri
AttributeError: 'NoneType' object has no attribute 'split'
|
Traceback (most recent call last):
"/home/kevin/.virtualenvs/angr/lib/python3.7/site-packages/six.py", line 693, in reraise
raise value
"/home/kevin/.virtualenvs/angr/lib/python3.7/site-packages/nose2/plugins/loader/functions.py", line 81, in loadTestsFromName
result = util.test_from_name(name, module)
"/home/kevin/.virtualenvs/angr/lib/python3.7/site-packages/nose2/util.py", line 93, in test_from_name
parent, obj = object_from_name(name, module)
"/home/kevin/.virtualenvs/angr/lib/python3.7/site-packages/nose2/util.py", line 124, in object_from_name
_raise_custom_attribute_error(obj, part, e, import_error)
"/home/kevin/.virtualenvs/angr/lib/python3.7/site-packages/nose2/util.py", line 134, in _raise_custom_attribute_error
six.raise_from(attr_error_exc, prev_exc[1])
"<string>", line 3, in raise_from
"/home/kevin/.virtualenvs/angr/lib/python3.7/site-packages/nose2/util.py", line 119, in object_from_name
parent, obj = obj, getattr(obj, part)
AttributeError: module 'test_ex' has no attribute 'test_something'
| 0.617667
|
Traceback (most recent call last):
"/usr/local/bin/dbt", line 11, in <module>
load_entry_point('dbt==0.7.1', 'console_scripts', 'dbt')()
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/main.py", line 31, in main
handle(args)
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/main.py", line 49, in handle
res = run_from_args(parsed)
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/main.py", line 103, in run_from_args
result = task.run()
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/task/run.py", line 18, in run
self.project, self.args)
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 52, in compile_and_print_status
results.update(compiler.compile())
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 546, in compile
macro_generator)
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 523, in load_all_nodes
self.get_parsed_schema_tests(root_project, all_projects))
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 508, in get_parsed_schema_tests
relative_dirs=project.get('source-paths', [])))
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/parser.py", line 369, in load_and_parse_yml
return parse_schema_tests(result, root_project, all_projects)
"/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/parser.py", line 259, in parse_schema_tests
for config in configs:
TypeError: 'NoneType' object is not iterable
|
Traceback (most recent call last):
"e:\ImageAI-master\examples\object_detection.py", line 13, in <module>
detector.loadModel()
"C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\__init__.py", line 121, in loadModel
model = resnet50_retinanet(num_classes=80)
"C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\resnet.py", line 86, in resnet50_retinanet
return resnet_retinanet(num_classes=num_classes, backbone='resnet50', inputs=inputs, **kwargs)
"C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\resnet.py", line 80, in resnet_retinanet
model = retinanet.retinanet_bbox(inputs=inputs, num_classes=num_classes, backbone=resnet, **kwargs)
"C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 347, in retinanet_bbox
model = retinanet(inputs=inputs, num_classes=num_classes, **kwargs)
"C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 302, in retinanet
submodels = default_submodels(num_classes, anchor_parameters)
"C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 210, in default_submodels
('regression', default_regression_model(anchor_parameters.num_anchors())),
"C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 125, in default_regression_model
outputs = keras.layers.Reshape((-1, 4), name='pyramid_regression_reshape')(outputs)
"C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 602, in __call__
output = self.call(inputs, **kwargs)
"C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py", line 391, in call
target_shape = self.compute_output_shape(input_shape)[1:]
"C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py", line 376, in compute_output_shape
input_shape[1:], self.target_shape)
"C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py", line 364, in _fix_unknown_dimension
original = np.prod(input_shape, dtype=int)
"C:\ProgramData\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 2518, in prod
out=out, **kwargs)
"C:\ProgramData\Anaconda3\lib\site-packages\numpy\core\_methods.py", line 35, in _prod
return umr_prod(a, axis, dtype, out, keepdims)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
| 0.622043
|
Traceback (most recent call last):
"/opt/conda/bin/quantaxis", line 8, in <module>
sys.exit(QA_cmd())
"/opt/conda/lib/python3.8/site-packages/QUANTAXIS/QACmd/__init__.py", line 735, in QA_cmd
cli.cmdloop()
"/opt/conda/lib/python3.8/cmd.py", line 138, in cmdloop
stop = self.onecmd(line)
"/opt/conda/lib/python3.8/cmd.py", line 217, in onecmd
return func(arg)
"/opt/conda/lib/python3.8/site-packages/QUANTAXIS/QACmd/__init__.py", line 380, in do_save
QA_SU_save_stock_day("tdx")
"/opt/conda/lib/python3.8/site-packages/QUANTAXIS/QAUtil/__init__.py", line 169, in wrapper
func(*args, **kwargs)
"/opt/conda/lib/python3.8/site-packages/QUANTAXIS/QASU/main.py", line 222, in QA_SU_save_stock_day
engine.QA_SU_save_stock_day(client=client)
"/opt/conda/lib/python3.8/site-packages/QUANTAXIS/QASU/save_tdx.py", line 196, in QA_SU_save_stock_day
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
"/opt/conda/lib/python3.8/site-packages/retrying.py", line 49, in wrapped_f
return Retrying(*dargs, **dkw).call(f, *args, **kw)
"/opt/conda/lib/python3.8/site-packages/retrying.py", line 212, in call
raise attempt.get()
"/opt/conda/lib/python3.8/site-packages/retrying.py", line 247, in get
six.reraise(self.value[0], self.value[1], self.value[2])
"/opt/conda/lib/python3.8/site-packages/six.py", line 703, in reraise
raise value
"/opt/conda/lib/python3.8/site-packages/retrying.py", line 200, in call
attempt = Attempt(fn(*args, **kwargs), attempt_number, False)
"/opt/conda/lib/python3.8/site-packages/QUANTAXIS/QAFetch/QATdx.py", line 704, in QA_fetch_get_stock_list
with api.connect(ip, port):
AttributeError: __enter__
|
Traceback (most recent call last):
"/usr/bin/terminator", line 122, in <module>
TERMINATOR.create_layout(OPTIONS.layout)
"/usr/share/terminator/terminatorlib/terminator.py", line 311, in create_layout
window, terminal = self.new_window()
"/usr/share/terminator/terminatorlib/terminator.py", line 234, in new_window
terminal = maker.make('Terminal')
"/usr/share/terminator/terminatorlib/factory.py", line 94, in make
output = func(**kwargs)
"/usr/share/terminator/terminatorlib/factory.py", line 106, in make_terminal
return(terminal.Terminal())
"/usr/share/terminator/terminatorlib/terminal.py", line 147, in __init__
self.update_url_matches()
"/usr/share/terminator/terminatorlib/terminal.py", line 273, in update_url_matches
reg = Vte.Regex.new_for_match(re, len(re), self.regex_flags)
"/usr/lib/python2.7/dist-packages/gi/module.py", line 139, in __getattr__
self.__name__, name))
AttributeError: 'gi.repository.Vte' object has no attribute 'Regex'
| 0.556176
|
Traceback (most recent call last):
"/usr/local/lib/python2.7/dist-packages/aj/entry.py", line 37, in start
aj.core.run(**kwargs)
"/usr/local/lib/python2.7/dist-packages/aj/core.py", line 208, in run
gevent.signal(signal.SIGINT, signal_handler)
TypeError: 'module' object is not callable
```
|
Traceback (most recent call last):
"train.py", line 115, in <module>
tf.app.run()
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 44, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
"train.py", line 68, in main
second_derivatives=FLAGS.second_derivatives)
"/home/feigao/exp/learning-to-learn/meta.py", line 398, in meta_minimize
info = self.meta_loss(make_loss, len_unroll, **kwargs)
"/home/feigao/exp/learning-to-learn/meta.py", line 357, in meta_loss
name="unroll")
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 2622, in while_loop
result = context.BuildLoop(cond, body, loop_vars, shape_invariants)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 2455, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 2405, in _BuildLoop
body_result = body(*packed_vars_for_body)
"/home/feigao/exp/learning-to-learn/meta.py", line 337, in time_step
deltas, s_i_next = update(nets[key], fx, x_i, s_i)
"/home/feigao/exp/learning-to-learn/meta.py", line 320, in update
deltas, state_next = zip(*[net(g, s) for g, s in zip(gradients, state)])
"/home/feigao/exp/learning-to-learn/nn/base.py", line 142, in __call__
out = self._template(*args, **kwargs)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/template.py", line 266, in __call__
return self._call_func(args, kwargs, check_for_new_variables=False)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/template.py", line 215, in _call_func
result = self._func(*args, **kwargs)
"/home/feigao/exp/learning-to-learn/networks.py", line 249, in _build
output, next_state = build_fn(reshaped_inputs, prev_state)
"/home/feigao/exp/learning-to-learn/networks.py", line 209, in _build
inputs = self._preprocess(tf.expand_dims(inputs, -1))
"/home/feigao/exp/learning-to-learn/nn/base.py", line 142, in __call__
out = self._template(*args, **kwargs)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/template.py", line 266, in __call__
return self._call_func(args, kwargs, check_for_new_variables=False)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/template.py", line 215, in _call_func
result = self._func(*args, **kwargs)
"/home/feigao/exp/learning-to-learn/preprocess.py", line 71, in _build
return tf.concat_v2(ndims - 1, [clamped_log, sign])
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1057, in concat_v2
dtype=dtypes.int32).get_shape(
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 651, in convert_to_tensor
as_ref=False)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 716, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 165, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto
_AssertCompatible(values, dtype)
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.
| 0.558391
|
Traceback (most recent call last):
"C:\Users\krajasekhara\AppData\Local\Continuum\anaconda3\lib\site-packages\kerastuner\engine\hypermodel.py", line 105, in build
model = self.hypermodel.build(hp)
"<ipython-input-58-22abd649ed4e>", line 15, in build_model
input_length=max_length),
TypeError: __init__() missing 2 required positional arguments: 'input_dim' and 'output_dim'
|
Traceback (most recent call last):
"/usr/lib/python2.7/logging/__init__.py", line 861, in emit
msg = self.format(record)
"/usr/lib/python2.7/logging/__init__.py", line 734, in format
return fmt.format(record)
"/usr/lib/python2.7/logging/__init__.py", line 465, in format
record.message = record.getMessage()
"/usr/lib/python2.7/logging/__init__.py", line 329, in getMessage
msg = msg % self.args
TypeError: %d format: a number is required, not NoneType
| 0.563284
|
Traceback (most recent call last):
"/usr/local/Cellar/python/3.7.2_2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap
self.run()
"/usr/local/Cellar/python/3.7.2_2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/multiprocessing/process.py", line 99, in run
self._target(*self._args, **self._kwargs)
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/outbound_ssh_pyez.py", line 10, in PyezClient
dev = Device(sock_fd=client, user="mist", password="mist@1601")
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/venv3/lib/python3.7/site-packages/jnpr/junos/device.py", line 1156, in __init__
self._sshconf_lkup()
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/venv3/lib/python3.7/site-packages/jnpr/junos/device.py", line 407, in _sshconf_lkup
found = sshconf.lookup(self._hostname)
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/venv3/lib/python3.7/site-packages/paramiko/config.py", line 118, in lookup
for config in self._config
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/venv3/lib/python3.7/site-packages/paramiko/config.py", line 119, in <listcomp>
if self._allowed(config["host"], hostname)
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/venv3/lib/python3.7/site-packages/paramiko/config.py", line 154, in _allowed
elif fnmatch.fnmatch(hostname, host):
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/venv3/lib/python3.7/fnmatch.py", line 34, in fnmatch
name = os.path.normcase(name)
"/Users/mark/go/src/github.com/mistsys/mist-ai4it-collectors/python/venv3/bin/../lib/python3.7/posixpath.py", line 54, in normcase
s = os.fspath(s)
TypeError: expected str, bytes or os.PathLike object, not NoneType
|
Traceback (most recent call last):
"D:\Anaconda3\lib\site-packages\networkx\classes\graph.py", line 1908, in bunch_iter
for n in nlist:
TypeError: 'int' object is not iterable
| 0.562099
|
Traceback (most recent call last):
"/usr/src/homeassistant/homeassistant/components/flunearyou/__init__.py", line 166, in _async_update_listener_action
await self.async_update()
"/usr/src/homeassistant/homeassistant/components/flunearyou/__init__.py", line 206, in async_update
await asyncio.gather(*tasks)
"/usr/src/homeassistant/homeassistant/components/flunearyou/__init__.py", line 159, in _async_get_data_from_api
self.data[api_category] = await self._api_coros[api_category]
RuntimeError: cannot reuse already awaited coroutine
|
Traceback (most recent call last):
"/usr/bin/unknown-horizons", line 544, in <module>
main()
"/usr/bin/unknown-horizons", line 261, in main
ret = horizons.main.start(options)
"/usr/lib64/python2.7/site-packages/horizons/main.py", line 251, in start
fife.run()
"/usr/lib64/python2.7/site-packages/horizons/engine/engine.py", line 246, in run
self.loop()
"/usr/lib64/python2.7/site-packages/horizons/engine/engine.py", line 255, in loop
self.engine.pump()
"/usr/lib64/python2.7/site-packages/fife/fife.py", line 2182, in pump
return _fife.Engine_pump(self)
RuntimeError: Caught a director exception
| 0.471879
|
Traceback (most recent call last):
"/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
"__main__", fname, loader, pkg_name)
"/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
"/venv/lib/python2.7/site-packages/cactus/progressive/cactus_progressive.py", line 496, in <module>
main()
"/venv/lib/python2.7/site-packages/cactus/progressive/cactus_progressive.py", line 461, in main
halID = toil.restart()
"/usr/local/lib/python2.7/dist-packages/toil/common.py", line 699, in restart
self._setupHotDeployment()
"/usr/local/lib/python2.7/dist-packages/toil/common.py", line 874, in _setupHotDeployment
userScriptResource = userScript.saveAsResourceTo(self._jobStore)
"/usr/local/lib/python2.7/dist-packages/toil/resource.py", line 445, in saveAsResourceTo
return self._getResourceClass().create(jobStore, self._resourcePath)
"/usr/local/lib/python2.7/dist-packages/toil/resource.py", line 85, in create
with cls._load(leaderPath) as src:
"/usr/local/lib/python2.7/dist-packages/toil/resource.py", line 316, in _load
zip
.writepy(path)
"/usr/lib/python2.7/zipfile.py", line 1402, in writepy
self.write(fname, arcname)
"/usr/lib/python2.7/zipfile.py", line 1118, in write
st = os.stat(filename)
OSError: [Errno 2] No such file or directory: '/venv/lib/python2.7/site-packages/jinja2/asyncsupport.pyc'
|
Traceback (most recent call last):
"test.py", line 2, in <module>
config = AutoConfig.from_pretrained('t5-base')
"/opt/conda/envs/internship/lib/python3.7/site-packages/transformers/configuration_auto.py", line 333, in from_pretrained
config_dict, _ = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
"/opt/conda/envs/internship/lib/python3.7/site-packages/transformers/configuration_utils.py", line 400, in get_config_dict
raise EnvironmentError(msg)
OSError: Can't load config for 't5-base'. Make sure that:
| 0.558552
|
Traceback (most recent call last):
"/usr/lib64/python3.6/asyncio/selector_events.py", line 761, in write
n = self._sock.send(data)
OSError: [Errno 9] Bad file descriptor
|
Traceback (most recent call last):
"/data/anaconda3/envs/paddle/lib/python3.7/threading.py", line 926, in _bootstrap_inner
self.run()
"/data/anaconda3/envs/paddle/lib/python3.7/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/paddle/fluid/reader.py", line 1156, in __thread_main__
six.reraise(*sys.exc_info())
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/six.py", line 703, in reraise
raise value
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/paddle/fluid/reader.py", line 1136, in __thread_main__
for tensors in self._tensor_reader():
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/paddlehub/reader/cv_reader.py", line 166, in _data_reader
image = preprocess(image_path)
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/paddlehub/reader/cv_reader.py", line 117, in preprocess
self.image_height)
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/paddlehub/io/augmentation.py", line 109, in image_resize
return img.resize((width, height), interpolation_method)
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/PIL/Image.py", line 1886, in resize
self.load()
"/data/anaconda3/envs/paddle/lib/python3.7/site-packages/PIL/Image
.py", line 247, in load
"(%d bytes not processed)" % len(b)
OSError: image file is truncated (74 bytes not processed)
| 0.523009
|
Traceback (most recent call last):
"/srv/homeassistant/lib/python3.4/site-packages/homeassistant/setup.py", line 188, in _async_setup_component
None, component.setup, hass, processed_config)
"/usr/lib/python3.4/asyncio/futures.py", line 388, in __iter__
yield self
# This tells Task to wait for completion.
"/usr/lib/python3.4/asyncio/tasks.py", line 286, in _wakeup
value = future.result()
"/usr/lib/python3.4/asyncio/futures.py", line 277, in result
raise self._exception
"/usr/lib/python3.4/concurrent/futures/thread.py", line 54, in run
result = self.fn(*self.args, **self.kwargs)
"/srv/homeassistant/lib/python3.4/site-packages/homeassistant/components/ring.py", line 39, in setup
conf = config[DOMAIN]
KeyError: 'ring'
|
Traceback (most recent call last):
"checkResult.py", line 237, in <module>
cell_list=worksheet.range('A1:B1', returnas = 'range')
"/Users/alex/Development/autocheckNAS/venv/lib/python2.7/site-packages/pygsheets/worksheet.py", line 201, in range
return self.get_values(startcell, endcell, returnas=returnas)
"/Users/alex/Development/autocheckNAS/venv/lib/python2.7/site-packages/pygsheets/worksheet.py", line 247, in get_values
values = values['sheets'][0]['data'][0]['rowData']
KeyError: 'rowData'
| 0.507027
|
[!] Traceback (most recent call last):
"lazagne\softwares\browsers\mozilla.py", line 398, in is_master_password_correct
AttributeError: 'Sequence' object has no attribute 'asOctets'
|
Traceback (most recent call last):
"reproduce.py", line 4, in <module>
asyncio.run(create_async_engine(server_side_cursors=True))
"..../lib/sqlalchemy/ext/asyncio/engine.py", line 34, in create_async_engine
raise exc.AsyncMethodRequired(
AttributeError: module 'sqlalchemy.exc' has no attribute 'AsyncMethodRequired'
| 0.582997
|
Traceback (most recent call last):
"<string>", line 1, in <module>
"C:\Users\jmorales\AppData\Local\Temp\pip-install-4t1k2u4e\pyecharts\setup.py", line 12, in <module>
pip.main(['install', 'jupyter-pip'])
AttributeError: module 'pip' has no attribute 'main'
|
Traceback (most recent call last):
"/usr/lib/python3.5/asyncio/tasks.py", line 239, in _step
result = coro.send(None)
"/srv/homeassistant/lib/python3.5/site-packages/homeassistant/helpers/service.py", line 224, in _handle_service_platform_call
await getattr(entity, func)(**data)
AttributeError: 'NeatoConnectedVacuum' object has no attribute 'async_turn_off'
| 0.557531
|
Traceback (most recent call last):
"run_tribler.py", line 115, in <module>
from TriblerGUI.tribler_window import TriblerWindow
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"TriblerGUI/tribler_window.py", line 48, in <module>
from TriblerGUI.debug_window import DebugWindow
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"TriblerGUI/debug_window.py", line 17, in <module>
from matplotlib.backends.backend_qt5agg import FigureCanvas
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"matplotlib/backends/backend_qt5agg.py", line 13, in <module>
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"matplotlib/figure.py", line 38, in <module>
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"matplotlib/colorbar.py", line 36, in <module>
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"matplotlib/contour.py", line 23, in <module>
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"matplotlib/text.py", line 33, in <module>
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"matplotlib/backend_bases.py", line 77, in <module>
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"PIL/Image.py", line 57, in <module>
"/Library/Python/2.7/site-packages/PyInstaller/loader/pyimod03_importers.py", line 395, in load_module
exec(bytecode, module.__dict__)
"lib-tk/FixTk.py", line 74, in <module>
OSError: [Errno 20] Not a directory: '/Users/tribler/Documents/sandip/tribler/dist/tribler.app/Contents/MacOS/tcl'
|
>Traceback (most recent call last):
"flat_main.py", line 313, in <module>
only_train_min_freq=args.only_train_min_freq)
"D:\develop\python\Anaconda3\lib\site-packages\fastNLP\core\utils.py", line 160, in wrapper
with open(cache_filepath, 'wb') as f:
OSError: [Errno 22] Invalid argument: 'cache\\weibo_lattice_only_train:False_trainClip:True_norm_num:0char_min_freq1bigram_min_freq1word_min_freq1only_train_min_freqTruenumber_norm0lexicon_yjload_dataset_seed100'
| 0.619592
|
`Traceback (most recent call last):
"./train_lm.py", line 41, in <module>
'reload': [False]})
"./train_lm.py", line 27, in main
use_dropout=params['use-dropout'][0])
"/mnt/f/Programing/dl4mt_codes/codes/dl4mt-tutorial/session0/lm.py", line 641, in train
worddicts = pkl.load(f)
ValueError: unsupported pickle protocol: 3
|
Traceback (most recent call last):
"train.py", line 332, in <module>
split_targets.append(targets[offset:offset + size])
ValueError: result of slicing is an empty tensor
| 0.502792
|
Traceback (most recent call last):
"/usr/local/bin/jtop", line 11, in <module>
sys.exit(main())
"/usr/local/lib/python3.6/dist-packages/jtop/__main__.py", line 92, in main
curses.wrapper(JTOPGUI, args.refresh, jetson, [ALL, GPU, MEM, CTRL, INFO], init_page=args.page)
"/usr/lib/python3.6/curses/__init__.py", line 94, in wrapper
return func(stdscr, *args, **kwds)
"/usr/local/lib/python3.6/dist-packages/jtop/gui/jtopgui.py", line 97, in __init__
self.run()
"/usr/local/lib/python3.6/dist-packages/jtop/gui/jtopgui.py", line 127, in run
self.draw()
"/usr/local/lib/python3.6/dist-packages/jtop/gui/jtopguilib.py", line 71, in wrapped
return func(self, *args, **kwargs)
"/usr/local/lib/python3.6/dist-packages/jtop/gui/jtopgui.py", line 138, in draw
page.draw(self.key)
"/usr/local/lib/python3.6/dist-packages/jtop/gui/pall.py", line 161, in draw
mini(self.stdscr, idx * column_width, line_counter, column_width, self.jetson)
"/usr/local/lib/python3.6/dist-packages/jtop/gui/jtopguilib.py", line 107, in wrapped
return func(*args, **kwargs)
"/usr/local/lib/python3.6/dist-packages/jtop/gui/jtopguimenu.py", line 158, in compact_info
jc_status = jc.status
"/usr/local/lib/python3.6/dist-packages/jtop/core/jetson_clocks.py", line 128, in status
show = self.show()
"/usr/local/lib/python3.6/dist-packages/jtop/core/jetson_clocks.py", line 85, in show
str(match.group(9)): int(match.group(10))}}
ValueError: invalid literal for int() with base 10: '1 c7=1 '
|
Traceback (most recent call last):
"Train_NER_German.py", line 86, in <module>
model.evaluate(50)
"/home/xidb/Desktop/tf/emnlp2017-bilstm-cnn-crf/neuralnets/BiLSTM.py", line 392, in evaluate
self.trainModel()
"/home/xidb/Desktop/tf/emnlp2017-bilstm-cnn-crf/neuralnets/BiLSTM.py", line 93, in trainModel
self.buildModel()
"/home/xidb/Desktop/tf/emnlp2017-bilstm-cnn-crf/neuralnets/BiLSTM.py", line 247, in buildModel
tokens.add(Embedding(input_dim=embeddings.shape[0], output_dim=embeddings.shape[1],
weights=[embeddings], trainable=False, name='token_emd'))
"/home/xidb/anaconda2/lib/python2.7/site-packages/keras/models.py", line 294, in add
layer.create_input_layer(batch_input_shape, input_dtype)
"/home/xidb/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 398, in create_input_layer
self(x)
"/home/xidb/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 543, in __call__
self.build(input_shapes[0])
"/home/xidb/anaconda2/lib/python2.7/site-packages/keras/layers/embeddings.py", line 101, in build
self.set_weights(self.initial_weights)
"/home/xidb/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 966, in set_weights
str(weights)[:50] + '...')
ValueError: You called `set_weights(weights)` on layer "token_emd" with a
weight list of length 1, but the layer was expecting 0 weights. Provided weights: [array([[ 0.
,
0.
,
0.
, .....
| 0.56064
|
Traceback (most recent call last):
"/home/aaronmeurer/Documents/cpython/Lib/doctest.py", line 208, in _normalize_module
return __import__(module, globals(), locals(), ["*"])
"/home/aaronmeurer/Documents/python/sympy/sympy/examples/advanced/pidigits.py", line 12, in <module>
from time import clock
ImportError: cannot import name 'clock' from 'time' (unknown location)
|
Traceback (most recent call last):
"/usr/lib/python2.7/site-packages/beets/plugins.py", line 254, in load_plugins
namespace = __import__(modname, None, None)
"/usr/lib/python2.7/site-packages/beetsplug/lastgenre/__init__.py", line 27, in <module>
import pylast
ImportError: No module named pylast
| 0.642767
|
Traceback (most recent call last):
"C:\Users\Kone_11\AppData\Local\Programs\Python\Python36-32\lib\site-packages\eve\flaskapp.py", line 269, in validate_domain_struct
domain = self.config['DOMAIN']
KeyError: 'DOMAIN'
|
Traceback (most recent call last):
"/home/pavel/.local/lib/python3.6/site-packages/youtube_dl/extractor/common.py", line 501, in extract
ie_result = self._real_extract(url)
"/home/pavel/.local/lib/python3.6/site-packages/youtube_dl/extractor/vk.py", line 399, in _real_extract
data = data['player']['params'][0]
KeyError: 'player'
| 0.522123
|
The minion function caused an exception: Traceback (most recent call last):
"/usr/lib/python2.7/site-packages/salt/minion.py", line 1597, in _thread_return
return_data = minion_instance.executors[fname](opts, data, func, args, kwargs)
"/usr/lib/python2.7/site-packages/salt/executors/direct_call.py", line 12, in execute
return func(*args, **kwargs)
"/usr/lib/python2.7/site-packages/salt/modules/state.py", line 454, in low
ret = st_.call(data)
"/usr/lib/python2.7/site-packages/salt/utils/decorators/state.py", line 23, in _func
result = func(*args, **kwargs)
"/usr/lib/python2.7/site-packages/salt/state.py", line 1937, in call
ret['__id__'] = low['__id__']
KeyError: u'__id__'
|
Traceback (most recent call last):
"overviewer.py", line 485, in main
KeyError: 'C:\\Users\\Schol\\AppData\\Roaming\\.minecraft\\saves\\ProjectA'
| 0.545493
|
Traceback (most recent call last):
"/home/rjn/anaconda3/envs/pyannote/bin/pyannote-pipeline", line 11, in <module>
sys.exit(main())
"/home/rjn/anaconda3/envs/pyannote/lib/python3.6/site-packages/pyannote/audio/applications/pipeline.py", line 259, in main
application = Pipeline(experiment_dir, db_yml=db_yml)
"/home/rjn/anaconda3/envs/pyannote/lib/python3.6/site-packages/pyannote/audio/applications/pipeline.py", line 124, in __init__
fromlist=[pipeline_name])
ModuleNotFoundError: No module named 'pyannote.audio.pipeline.pyannote'
|
Traceback (most recent call last):
"<stdin>", line 1, in <module>
"/usr/lib/python3.9/site-packages/plumbum/__init__.py", line 56, in <module>
from plumbum.version import version
ModuleNotFoundError: No module named 'plumbum.version'
| 0.611277
|
Traceback (most recent call last):
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/orangecanvas/scheme/signalmanager.py", line 936, in __process_next
if self.__process_next_helper(use_max_active=True):
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/orangecanvas/scheme/signalmanager.py", line 974, in __process_next_helper
self.process_node(selected_node)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/orangecanvas/scheme/signalmanager.py", line 605, in process_node
self.send_to_node(node, signals_in)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/orangewidget/workflow/widgetsscheme.py", line 792, in send_to_node
self.process_signals_for_widget(node, widget, signals)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/orangewidget/workflow/widgetsscheme.py", line 826, in process_signals_for_widget
handler(*args)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/widgets/utils/sql.py", line 31, in new_f
return f(widget, data, *args, **kwargs)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/widgets/unsupervised/owkmeans.py", line 578, in set_data
self.invalidate(unconditional=True)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/widgets/unsupervised/owkmeans.py", line 458, in invalidate
self.unconditional_commit()
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/widgets/unsupervised/owkmeans.py", line 444, in commit
self.run_optimization()
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/widgets/unsupervised/owkmeans.py", line 403, in run_optimization
self.__launch_tasks(needed_ks)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/widgets/unsupervised/owkmeans.py", line 357, in __launch_tasks
preprocessed_data = self.preproces(self.data)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/widgets/unsupervised/owkmeans.py", line 493, in preproces
data = Normalize()(data)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/preprocess/preprocess.py", line 356, in __call__
return normalizer(data)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/preprocess/normalize.py", line 36, in __call__
return data.transform(domain)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/data/table.py", line 520, in transform
return type(self).from_table(domain, self)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/orangecontrib/text/corpus.py", line 508, in from_table
t = super().from_table(domain, source, row_indices)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/data/table.py", line 463, in from_table
variables=domain.attributes)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/data/table.py", line 397, in get_columns
col_array = match_density(col(source))
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/preprocess/transformation.py", line 38, in __call__
transformed = self.transform(col)
"/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Orange/preprocess/transformation.py", line 127, in transform
raise ValueError('Normalization does not work for sparse data.')
ValueError: Normalization does not work for sparse data.
|
Traceback (most recent call last):
"site-packages/raiden/network/rpc/smartcontract_proxy.py", line 77, in transact
"site-packages/raiden/network/rpc/client.py", line 414, in send_transaction
"site-packages/web3/eth.py", line 274, in sendRawTransaction
"site-packages/web3/manager.py", line 112, in request_blocking
ValueError: {'code': -32010, 'message': 'Insufficient funds. The account you tried to send transaction from does not have enough funds. Required 41416577742691368 and got: 9219772000000000.'}
| 0.561452
|
Traceback (most recent call last):
"/usr/src/app/homeassistant/setup.py", line 148, in _async_setup_component
component.setup, hass, processed_config)
# type: ignore
"/usr/local/lib/python3.6/concurrent/futures/thread.py", line 56, in run
result = self.fn(*self.args, **self.kwargs)
"/usr/src/app/homeassistant/components/transmission.py", line 64, in setup
username = config[DOMAIN][CONF_USERNAME]
KeyError: 'username'
|
Traceback (most recent call last):
"/opt/miniconda3/lib/python3.5/site-packages/_pytest/config.py", line 325, in _getconftestmodules
return self._path2confmods[path]
KeyError: local('/Users/johndoe/xxx/sphinx/tests')
| 0.560645
|
Traceback (most recent call last):
"rpyc/core/protocol.py", line 347, in _dispatch_request
"rpyc/core/protocol.py", line 624, in _handle_call
TypeError: keylogger_start() takes no arguments (1 given)
|
Traceback (most recent call last):
"/usr/bin/streamlink", line 11, in <module>
load_entry_point('streamlink==0.0.2', 'console_scripts', 'streamlink')()
"/usr/lib/python3.4/site-packages/streamlink_cli/main.py", line 899, in m
ain
handle_url()
"/usr/lib/python3.4/site-packages/streamlink_cli/main.py", line 479, in h
andle_url
streams = fetch_streams(plugin)
"/usr/lib/python3.4/site-packages/streamlink_cli/main.py", line 392, in f
etch_streams
sorting_excludes=args.stream_sorting_excludes)
"/usr/lib/python3.4/site-packages/streamlink/plugin/plugin.py", line 316,
in get_streams
return self.streams(*args, **kwargs)
"/usr/lib/python3.4/site-packages/streamlink/plugin/plugin.py", line 230,
in streams
ostreams = self._get_streams()
"/usr/lib/python3.4/site-packages/streamlink/plugins/connectcast.py", lin
e 21, in _get_streams
match = _stream_re.search(res.content)
TypeError: can't use a string pattern on a bytes-like object
| 0.562765
|
[autoreload of pandas.core.indexes.accessors failed: Traceback (most recent call last):
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/IPython/extensions/autoreload.py", line 246, in check
superreload(m, reload, self.old_objects)
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/IPython/extensions/autoreload.py", line 369, in superreload
module = reload(module)
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/imp.py", line 315, in reload
return importlib.reload(module)
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
"<frozen importlib._bootstrap>", line 618, in _exec
"<frozen importlib._bootstrap_external>", line 678, in exec_module
"<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/pandas/core/indexes/accessors.py", line 18, in <module>
from pandas._libs.tslibs.period import IncompatibleFrequency
# noqa
ImportError: cannot import name 'IncompatibleFrequency'
|
Traceback (most recent call last):
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
"/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
"/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
| 0.628847
|
Traceback (most recent call last):
"/usr/local/lib/python3.6/site-packages/aiohttp/web_protocol.py", line 390, in start
resp = await self._request_handler(request)
"/usr/local/lib/python3.6/site-packages/aiohttp/web_app.py", line 352, in _handle
resp = await handler(request)
"/usr/local/lib/python3.6/site-packages/aiohttp/web_middlewares.py", line 106, in impl
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/static.py", line 66, in staticresource_middleware
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/real_ip.py", line 34, in real_ip_middleware
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/ban.py", line 67, in ban_middleware
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/auth.py", line 68, in auth_middleware
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/real_ip.py", line 34, in real_ip_middleware
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/ban.py", line 67, in ban_middleware
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/auth.py", line 68, in auth_middleware
return await handler(request)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/view.py", line 113, in handle
result = await result
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/data_validator.py", line 47, in wrapper
result = await method(view, request, *args, **kwargs)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/http/ban.py", line 77, in handle_req
resp = await func(view, request, *args, **kwargs)
"/usr/local/lib/python3.6/site-packages/homeassistant/components/auth/login_flow.py", line 220, in post
if result['errors'] is not None and \
KeyError: 'errors'
|
Traceback (most recent call last):
"vol.py", line 192, in <module>
main()
"vol.py", line 183, in main
command.execute()
"/root/Documents/volids/my_volatility/volatility/plugins/linux/common.py", line 67, in execute
commands.Command.execute(self, *args, **kwargs)
"/root/Documents/volids/my_volatility/volatility/commands.py", line 147, in execute
func(outfd, data)
"/root/Documents/volids/my_volatility/volatility/plugins/linux/hidden_modules.py", line 118, in render_text
for module in data:
"/root/Documents/volids/my_volatility/volatility/plugins/linux/hidden_modules.py", line 112, in calculate
for mod in self.walk_modules_address_space(self.addr_space):
"/root/Documents/volids/my_volatility/volatility/plugins/linux/hidden_modules.py", line 48, in walk_modules_address_space
skip_size
= addr_space.profile.get_obj_size("latch_tree_root")
"/root/Documents/volids/my_volatility/volatility/obj.py", line 1021, in get_obj_size
tmp = self._get_dummy_obj(name)
"/root/Documents/volids/my_volatility/volatility/obj.py", line 1005, in _get_dummy_obj
tmp = self.types[name](offset = 0, name = name, vm = dummy(), parent = None)
KeyError: 'latch_tree_root'
| 0.546165
|
Traceback (most recent call last):
"/<<PKGBUILDDIR>>/tests/unit/test_auth.py", line 98, in setUp
patcher.start()
AttributeError: 'MagicMock' object has no attribute 'start'
|
Traceback (most recent call last):
"IG-OriginalRandom.py", line 2, in <module>
from instapy import InstaPy
"/home/bn/InstaPy/instapy/__init__.py", line 1, in <module>
from .instapy import InstaPy
"/home/bn/InstaPy/instapy/instapy.py", line 15, in <module>
from .clarifai_util import check_image
"/home/bn/InstaPy/instapy/clarifai_util.py", line 3, in <module>
from clarifai import rest
"build/bdist.linux-x86_64/egg/clarifai/rest/__init__.py", line 3, in <module>
"build/bdist.linux-x86_64/egg/clarifai/rest/client.py", line 13, in <module>
"/usr/local/lib/python2.7/dist-packages/requests/__init__.py", line 52, in <module>
from .packages.urllib3.contrib import pyopenssl
"/usr/local/lib/python2.7/dist-packages/requests/packages/urllib3/contrib/pyopenssl.py", line 47, in <module>
import OpenSSL.SSL
"/usr/lib/python2.7/dist-packages/OpenSSL/__init__.py", line 8, in <module>
from OpenSSL import rand, crypto, SSL
"/usr/lib/python2.7/dist-packages/OpenSSL/SSL.py", line 118, in <module>
SSL_ST_INIT = _lib.SSL_ST_INIT
AttributeError: 'module' object has no attribute 'SSL_ST_INIT'
| 0.573496
|
Traceback (most recent call last):
"/usr/lib/python3.5/threading.py", line 914, in _bootstrap_inner
self.run()
"/usr/lib/python3.5/threading.py", line 862, in run
self._target(*self._args, **self._kwargs)
"/root/Downloads/GreatSCT/fileOps.py", line 47, in generate
return (self.genFromTemplate(template))
"/root/Downloads/GreatSCT/fileOps.py", line 92, in genFromTemplate
shellcodex64 = generator.genShellcode(domain, port, "x64", extraProcessing)
"/root/Downloads/GreatSCT/generator.py", line 39, in genShellcode
shellcode = self.b64Encode(shellcode)
"/root/Downloads/GreatSCT/generator.py", line 57, in b64Encode
shellcode = str(base64.b64encode(code))
"/usr/lib/python3.5/base64.py", line 59, in b64encode
encoded = binascii.b2a_base64(s)[:-1]
TypeError: a bytes-like object is required, not 'str'
|
Traceback (most recent call last):
"/home/cpu11453local/anaconda3/envs/gensim/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
"/home/cpu11453local/anaconda3/envs/gensim/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
"/home/cpu11453local/anaconda3/envs/gensim/lib/python3.6/site-packages/gensim/scripts/word2vec2tensor.py", line 93, in <module>
word2vec2tensor(args.input, args.output, args.binary)
"/home/cpu11453local/anaconda3/envs/gensim/lib/python3.6/site-packages/gensim/scripts/word2vec2tensor.py", line 73, in word2vec2tensor
file_metadata.write(gensim.utils.to_utf8(word) + gensim.utils.to_utf8('\n'))
TypeError: write() argument must be str, not bytes
| 0.659787
|
Traceback (most recent call last):
"/home/papr/work/pupil/pupil_src/shared_modules/calibration_routines/camera_intrinsics_estimation.py", line 86, in load_camera_calibration
camera_calibration = pre_recorded_calibrations[g_pool.capture.name][g_pool.capture.frame_size]
KeyError: 'Logitech Webcam C930e @ Nexus 6P_NBD91K'
|
Traceback (most recent call last):
"/usr/local/lib/python3.6/site-packages/xonsh/__amalgam__.py", line 13061, in run
r = self.f(self.args, sp_stdin, sp_stdout, sp_stderr, spec)
"/usr/local/lib/python3.6/site-packages/xonsh/__amalgam__.py", line 12896, in proxy_four
return f(args, stdin, stdout, stderr)
"/usr/local/lib/python3.6/site-packages/xonsh/xoreutils/echo.py", line 9, in echo
if opts['help']:
KeyError: 'help'
| 0.456702
|
Traceback (most recent call last):
"pyinstaller_UserList.py", line 23, in <module>
"site-packages\future\standard_library\__init__.py", line 457, in install_aliases
ImportError: No module named UserList
|
Traceback (most recent call last):
"<stdin>", line 1, in <module>
"django/utils/six.py", line 86, in __get__
result = self._resolve()
"django/utils/six.py", line 105, in _resolve
return _import_module(self.mod)
"django/utils/six.py", line 76, in _import_module
__import__(name)
ImportError: No module named six.moves.urllib_parse
| 0.60995
|
Traceback (most recent call last):
"/usr/src/homeassistant/homeassistant/components/websocket_api/commands.py", line 121, in handle_call_service
connection.context(msg))
"/usr/src/homeassistant/homeassistant/core.py", line 1150, in async_call
self._execute_service(handler, service_call))
"/usr/src/homeassistant/homeassistant/core.py", line 1172, in _execute_service
await handler.func(service_call)
"/usr/src/homeassistant/homeassistant/helpers/entity_component.py", line 194, in handle_service
required_features
"/usr/src/homeassistant/homeassistant/helpers/service.py", line 316, in entity_service_call
future.result()
# pop exception if have
"/usr/src/homeassistant/homeassistant/helpers/service.py", line 337, in _handle_service_platform_call
await getattr(entity, func)(**data)
"/usr/src/homeassistant/homeassistant/components/ambiclimate/climate.py", line 213, in async_turn_on
await self._heater.turn_on()
"/usr/local/lib/python3.7/site-packages/ambiclimate/__init__.py", line 245, in turn_on
'swing': data.get('swing', 'Oscillate').lower()
AttributeError: 'NoneType' object has no attribute 'lower'
|
Traceback (most recent call last):
"/usr/lib64/python2.7/site-packages/scc/gui/app.py", line 1101, in on_daemon_dead
self.set_daemon_status("unknown", True)
"/usr/lib64/python2.7/site-packages/scc/gui/app.py", line 1204, in set_daemon_status
self.window.set_icon_from_file(icon)
AttributeError: 'App' object has no attribute 'window'
| 0.594341
|
Traceback (most recent call last):
"examples/mnist_siamese.py", line 133, in <module>
validation_data=([te_pairs[:, 0], te_pairs[:, 1]], te_y))
"build/bdist.linux-x86_64/egg/keras/engine/training.py", line 1603, in fit
"build/bdist.linux-x86_64/egg/keras/engine/training.py", line 1155, in _fit_loop
"build/bdist.linux-x86_64/egg/keras/engine/training.py", line 1332, in _test_loop
"build/bdist.linux-x86_64/egg/keras/engine/training.py", line 374, in _make_batches
TypeError: float() argument must be a string or a number
|
Traceback (most recent call last):
"D:\Apps\Python\Anaconda3\lib\site-packages\PyInstaller\depend\bindepend.py", line 721, in getImports
return _getImports_pe(pth)
"D:\Apps\Python\Anaconda3\lib\site-packages\PyInstaller\depend\bindepend.py", line 109, in _getImports_pe
import_dllnames_only=True,
TypeError: parse_data_directories() got an unexpected keyword argument 'forwarded_exports_only'
| 0.501658
|
Traceback (most recent call last):
"/usr/lib/python2.7/site-packages/salt/cloud/cli.py", line 284, in run
self.config.get('names')
"/usr/lib/python2.7/site-packages/salt/cloud/__init__.py", line 1458, in run_profile
ret[name] = self.create(vm_)
"/usr/lib/python2.7/site-packages/salt/cloud/__init__.py", line 1288, in create
output = self.clouds[func](vm_)
"/usr/lib/python2.7/site-packages/salt/cloud/clouds/vmware.py", line 2533, in create
identity.guiUnattended.password.value = win_password
"/usr/lib/python2.7/site-packages/pyVmomi/VmomiSupport.py", line 537, in __setattr__
CheckField(self._GetPropertyInfo(name), val)
"/usr/lib/python2.7/site-packages/pyVmomi/VmomiSupport.py", line 915, in CheckField
raise TypeError('Required field "%s" not provided (not @optional)' % info.name)
TypeError: Required field "value" not provided (not @optional)
|
Traceback (most recent call last):
"/usr/local/lib/python3.7/asyncio/runners.py", line 43, in run
return loop.run_until_complete(main)
"/usr/local/lib/python3.7/asyncio/base_events.py", line 579, in run_until_complete
return future.result()
"/usr/src/homeassistant/homeassistant/__main__.py", line 291, in setup_and_run_hass
log_no_color=args.log_no_color,
"/usr/src/homeassistant/homeassistant/bootstrap.py", line 148, in async_from_config_file
config_dict, hass, enable_log=False, skip_pip=skip_pip
"/usr/src/homeassistant/homeassistant/bootstrap.py", line 93, in async_from_config_dict
await _async_set_up_integrations(hass, config)
"/usr/src/homeassistant/homeassistant/bootstrap.py", line 374, in _async_set_up_integrations
*(async_setup_component(hass, domain, config) for domain in domains_to_load)
"/usr/src/homeassistant/homeassistant/setup.py", line 51, in async_setup_component
return await task
# type: ignore
"/usr/src/homeassistant/homeassistant/setup.py", line 130, in _async_setup_component
await async_process_deps_reqs(hass, config, integration)
"/usr/src/homeassistant/homeassistant/setup.py", line 292, in async_process_deps_reqs
hass, integration.domain
"/usr/src/homeassistant/homeassistant/requirements.py", line 51, in async_get_integration_with_requirements
hass, integration.domain, integration.requirements
"/usr/src/homeassistant/homeassistant/requirements.py", line 87, in async_process_requirements
if pkg_util.is_installed(req):
"/usr/src/homeassistant/homeassistant/util/package.py", line 45, in is_installed
return version(req.project_name) in req
"/usr/local/lib/python3.7/site-packages/pkg_resources/__init__.py", line 3138, in __contains__
return self.specifier.contains(item, prereleases=True)
"/usr/local/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py", line 703, in contains
item = parse(item)
"/usr/local/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/version.py", line 31, in parse
return Version(version)
"/usr/local/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/version.py", line 200, in __init__
match = self._regex.search(version)
TypeError: expected string or bytes-like object
| 0.613361
|
ERROR:Controller:Traceback (most recent call last):
"/usr/local/lib/python3.6/site-packages/server/controller.py", line 177, in on_future_done
future.result()
"/usr/local/lib/python3.6/site-packages/server/session.py", line 132, in notify_async
for hashX, old_status in self.mempool_statuses.items():
RuntimeError: dictionary changed size during iteration
|
Traceback (most recent call last):
"<ipython-input-3-049aa757e999>", line 1, in <module>
model_use = model_test1(True)
"D:\bug_fixing.py", line 800, in model_test1
a,b = user_hist_item_transformerxl([input1, input3, input4, None, None, None, None])
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py", line 822, in __call__
outputs = self.call(cast_inputs, *args, **kwargs)
"D:\bug_fixing.py", line 637, in call
non_tgt_mask = -tf.eye(qlen, dtype=self.tf_float)
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\ops\linalg_ops.py", line 169, in eye
name=name)
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\ops\linalg_ops_impl.py", line 65, in eye
diag_shape = array_ops.concat((batch_shape, [diag_size]), axis=0)
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\util\dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\ops\array_ops.py", line 1517, in concat
return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\ops\gen_array_ops.py", line 1334, in concat_v2
"ConcatV2", values=values, axis=axis, name=name)
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\framework\op_def_library.py", line 412, in _apply_op_helper
as_ref=input_arg.is_ref)
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1382, in internal_convert_n_to_tensor
ctx=ctx))
"C:\Users\win\Anaconda3\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1280, in convert_to_tensor
raise RuntimeError("Attempting to capture an EagerTensor without "
RuntimeError: Attempting to capture an EagerTensor without building a function.
| 0.476776
|
Traceback (most recent call last):
"/usr/lib/python3.8/site-packages/sphinx/events.py", line 111, in emit
results.append(listener.handler(self.app, *args))
"/usr/lib/python3.8/site-packages/zzzeeksphinx/scss.py", line 69, in generate_stylesheet
with open(dest, "w") as out:
NotFoundError: [Errno 2] No such file or directory: '/home/tkloczko/rpmbuild/BUILD/SQLAlchemy-1.4.5/doc/build/output/man/_static/docs.css'
|
Traceback (most recent call last):
"C:\Python34\Lib\site-packages\sphinx\cmdline.py", line 243, in main
opts.warningiserror, opts.tags, opts.verbosity, opts.jobs)
"C:\Python34\Lib\site-packages\sphinx\application.py", line 137, in __init__
confoverrides or {}, self.tags)
"C:\Python34\Lib\site-packages\sphinx\config.py", line 291, in __init__
execfile_(filename, config)
"C:\Python34\Lib\site-packages\sphinx\util\pycompat.py", line 130, in execfile_
exec_(code, _globals)
"conf.py", line 251, in <module>
u'https://github.com/scikit-learn/'
"C:\Users\Chaitya\Desktop\CODE\ml\scikit-learn\doc\sphinxext\github_link.py", line 82, in make_linkcode_resolve
revision = _get_git_revision()
"C:\Users\Chaitya\Desktop\CODE\ml\scikit-learn\doc\sphinxext\github_link.py", line 13, in _get_git_revision
revision = subprocess.check_output(REVISION_CMD.split()).strip()
"C:\Python34\Lib\subprocess.py", line 607, in check_output
with Popen(*popenargs, stdout=PIPE, **kwargs) as process:
"C:\Python34\Lib\subprocess.py", line 859, in __init__
restore_signals, start_new_session)
"C:\Python34\Lib\subprocess.py", line 1114, in _execute_child
startupinfo)
NotFoundError: [WinError 2] The system cannot find the file specified
| 0.549197
|
Traceback (most recent call last):
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 134, in train
self.run_step()
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 429, in run_step
self._trainer.run_step()
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 228, in run_step
loss_dict = self.model(data)
"/apps/eb/PyTorch/1.6.0-fosscuda-2019b-Python-3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 160, in forward
proposals, proposal_losses = self.proposal_generator(images, features, gt_instances)
"/apps/eb/PyTorch/1.6.0-fosscuda-2019b-Python-3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 449, in forward
anchors, pred_objectness_logits, pred_anchor_deltas, images.image_sizes
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 482, in predict_proposals
self.training,
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/proposal_generator/proposal_utils.py", line 116, in find_top_rpn_proposals
keep = batched_nms(boxes.tensor, scores_per_img, lvl, nms_thresh)
"/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/layers/nms.py", line 21, in batched_nms
return box_ops.batched_nms(boxes.float(), scores, idxs, iou_threshold)
"/apps/eb/PyTorch/1.6.0-fosscuda-2019b-Python-3.7.4/lib/python3.7/site-packages/torch/jit/__init__.py", line 1600, in wrapper
return compiled_fn(*args, **kwargs)
RuntimeError: The following operation failed in the TorchScript interpreter.
|
Traceback (most recent call last):
"lib/matplotlib/sphinxext/plot_directive.py", line 612, in render_figures
figman.canvas.figure.savefig(img.filename(fmt), dpi=dpi)
"lib/matplotlib/figure.py", line 2203, in savefig
self.canvas.print_figure(fname, **kwargs)
"lib/matplotlib/backend_bases.py", line 2105, in print_figure
**kwargs)
"lib/matplotlib/backends/backend_pdf.py", line 2548, in print_pdf
self.figure.draw(renderer)
"lib/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
"lib/matplotlib/figure.py", line 1736, in draw
renderer, self, artists, self.suppressComposite)
"lib/matplotlib/image.py", line 137, in _draw_list_compositing_images
a.draw(renderer)
"lib/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
"lib/matplotlib/axes/_base.py", line 2630, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
"lib/matplotlib/image.py", line 137, in _draw_list_compositing_images
a.draw(renderer)
"lib/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
"lib/matplotlib/axis.py", line 1229, in draw
renderer)
"lib/matplotlib/axis.py", line 1174, in _get_tick_bboxes
for tick in ticks if tick.label1.get_visible()],
"lib/matplotlib/axis.py", line 1174, in <listcomp>
for tick in ticks if tick.label1.get_visible()],
"lib/matplotlib/text.py", line 905, in get_window_extent
bbox, info, descent = self._get_layout(self._renderer)
"lib/matplotlib/text.py", line 293, in _get_layout
ismath="TeX" if self.get_usetex() else False)
"lib/matplotlib/backends/_backend_pdf_ps.py", line 62, in get_text_width_height_descent
font.set_text(s, 0.0, flags=ft2font.LOAD_NO_HINTING)
RuntimeError: In set_text: Could not load glyph (error code 0x14)
| 0.612412
|
Traceback (most recent call last):
"<stdin>", line 1, in <module>
"/home/mbr/development/django/test/.venv/lib/python3.5/site-packages/transcrypt/modules/org/transcrypt/stubs/browser.py", line 10, in <module>
class __main__:
"/home/mbr/development/django/test/.venv/lib/python3.5/site-packages/transcrypt/modules/org/transcrypt/stubs/browser.py", line 11, in __main__
__file__ = utils.commandArgs.source
AttributeError: 'CommandArgs' object has no attribute 'source'
|
Traceback (most recent call last):
".../lib/python3.6/site-packages/snakemake/__init__.py", line 751, in snakemake
keepmetadata=keep_metadata,
".../lib/python3.6/site-packages/snakemake/workflow.py", line 696, in execute
dag.init()
".../lib/python3.6/site-packages/snakemake/dag.py", line 191, in init
self.update_needrun(create_inventory=True)
".../lib/python3.6/site-packages/snakemake/dag.py", line 900, in update_needrun
self.workflow.iocache.mtime_inventory(self.jobs)
".../lib/python3.6/site-packages/snakemake/io.py", line 136, in mtime_inventory
async_run(self._mtime_inventory(jobs))
".../lib/python3.6/site-packages/snakemake/common.py", line 34, in async_run
return loop.run_until_complete(coroutine)
".../lib/python3.6/asyncio/base_events.py", line 484, in run_until_complete
return future.result()
".../lib/python3.6/site-packages/snakemake/io.py", line 156, in _mtime_inventory
tasks = [asyncio.create_task(worker(queue)) for _ in range(n_workers)]
".../lib/python3.6/site-packages/snakemake/io.py", line 156, in <listcomp>
tasks = [asyncio.create_task(worker(queue)) for _ in range(n_workers)]
AttributeError: module 'asyncio' has no attribute 'create_task'
| 0.579516
|
Traceback (most recent call last):
"/Users/ahmet-anil.pala/klarna_repos/fraud-model-utils/.venv/lib/python3.7/site-packages/vaex/scopes.py", line 102, in evaluate
result = self[expression]
"/Users/ahmet-anil.pala/klarna_repos/fraud-model-utils/.venv/lib/python3.7/site-packages/vaex/scopes.py", line 159, in __getitem__
raise KeyError("Unknown variables or column: %r" % (variable,))
KeyError: "Unknown variables or column: 'sklearn_prediction_function(cat_x_A, cat_x_B, cat_x_B+C)'"
|
Traceback (most recent call last):
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 2328, in __call__
return self.wsgi_app(environ, start_response)
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 2314, in wsgi_app
response = self.handle_exception(e)
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 1760, in handle_exception
reraise(exc_type, exc_value, tb)
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/_compat.py", line 36, in reraise
raise value
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 2311, in wsgi_app
response = self.full_dispatch_request()
"src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 1834, in full_dispatch_request
rv = self.handle_user_exception(e)
"src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 1737, in handle_user_exception
reraise(exc_type, exc_value, tb)
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/_compat.py", line 36, in reraise
raise value
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 1832, in full_dispatch_request
rv = self.dispatch_request()
"/src/superset/superset/venv/lib/python3.6/site-packages/flask/app.py", line 1818, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
"/src/superset/superset/venv/lib/python3.6/site-packages/flask_appbuilder/security/views.py", line 677, in oauth_authorized
resp = self.appbuilder.sm.oauth_remotes[provider].authorized_response()
KeyError: 'login'
| 0.509591
|
Traceback (most recent call last):
"/usr/lib/python3/dist-packages/hyperlink/_url.py", line 993, in from_text
port = int(port)
ValueError: invalid literal for int() with base 10: ':1:None'
|
Traceback (most recent call last):
"C:\Users\Yishai\AppData\Local\Programs\Python\Python37\lib\site-packages\spacy\cli\train.py", line 397, in train
scorer = nlp_loaded.evaluate(dev_docs, verbose=verbose)
"C:\Users\Yishai\AppData\Local\Programs\Python\Python37\lib\site-packages\spacy\language.py", line 672, in evaluate
docs, golds = zip(*docs_golds)
ValueError: not enough values to unpack (expected 2, got 0)
| 0.514499
|
Traceback (most recent call last):
"/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
TypeError: test_main_thread_renamed_no_warning() takes exactly 2 arguments (0 given)
|
<!-- Traceback (most recent call last):
"<stdin>", line 1, in <module>
"/usr/local/lib/python3.7/site-packages/numpy/matrixlib/defmatrix.py", line 147, in __new__
arr = N.array(data, dtype=dtype, copy=copy)
TypeError: data type not understood
| 0.475267
|
Traceback (most recent call last):
"run_classifier.py", line 25, in <module>
import optimization_finetuning as optimization
"/Users/naortedgi/Desktop/albert/albert_zh/optimization_finetuning.py", line 87, in <module>
class AdamWeightDecayOptimizer(tf.train.Optimizer):
AttributeError: module 'tensorflow_core._api.v2.train' has no attribute 'Optimizer'
|
Traceback (most recent call last):
"/opt/sublime_text/sublime_plugin.py", line 594, in on_selection_modified_async
callback.on_selection_modified_async(v)
"/home/phil/.config/sublime-text-3/Packages/EasyClangComplete/EasyClangComplete.py", line 312, in on_selection_modified_async
view_config.completer.error_vis.show_popup_if_needed(view, row)
"/home/phil/.config/sublime-text-3/Packages/EasyClangComplete/plugin/error_vis/popup_error_vis.py", line 144, in show_popup_if_needed
popup = Popup.error(text_to_show)
"/home/phil/.config/sublime-text-3/Packages/EasyClangComplete/plugin/popups/popups.py", line 133, in error
popup.__text = markupsafe.escape(text)
AttributeError: 'module' object has no attribute 'escape'
| 0.552752
|
Traceback (most recent call last):
"/repos/meson/mesonbuild/mtest.py", line 997, in read_decode_lines
while not reader.at_eof():
AttributeError: 'NoneType' object has no attribute 'at_eof'
|
Traceback (most recent call last):
"D:\xxx\test\closefigureserror.py", line 19, in <module>
plt.show()
"d:\***\matplotlib\lib\matplotlib\pyplot.py", line 254, in show
return _show(*args, **kw)
"d:\***\matplotlib\lib\matplotlib\backend_bases.py", line 3275, in show
cls.mainloop()
"d:\***\matplotlib\lib\matplotlib\backends\_backend_tk.py", line 1040, in mainloop
Tk.mainloop()
"D:\***\Miniconda3\envs\mplgit\lib\tkinter\__init__.py", line 557, in mainloop
_default_root.tk.mainloop(n)
AttributeError: 'NoneType' object has no attribute 'tk'
| 0.586867
|
Traceback (most recent call last):
"spoti.py", line 27, in <module>
track = spotifyObject.currently_playing()
AttributeError: 'Spotify' object has no attribute 'currently_playing'
|
Traceback (most recent call last):
"/Users/nipun/git/nilmtk/nilmtk/tests/test_metergroup.py", line 95, in test_dual_supply
self.assertEqual(mg['washer dryer'].total_energy()['active'],
"/Users/nipun/git/nilmtk/nilmtk/metergroup.py", line 829, in total_energy
load_kwargs, 'total_energy', full_results)
"/Users/nipun/git/nilmtk/nilmtk/metergroup.py", line 845, in _collect_stats_on_all_meters
**load_kwargs)
"/Users/nipun/git/nilmtk/nilmtk/elecmeter.py", line 586, in total_energy
nodes, TotalEnergy.results_class(), loader_kwargs)
"/Users/nipun/git/nilmtk/nilmtk/elecmeter.py", line 672, in _get_stat_from_cache_or_compute
sections = TimeFrameGroup(sections)
"/Users/nipun/git/nilmtk/nilmtk/timeframegroup.py", line 15, in __init__
if isinstance(timeframes, pd.tseries.period.PeriodIndex):
AttributeError: module 'pandas.tseries' has no attribute 'period'
| 0.573987
|
Traceback (most recent call last):
"demo.py", line 113, in <module>
main(YOLO())
"/home/wr506/Documents/flyfly/deep_sort_qidian_22/yolo.py", line 33, in __init__
self.boxes, self.scores, self.classes = self.generate()
"/home/wr506/Documents/flyfly/deep_sort_qidian_22/yolo.py", line 54, in generate
self.yolo_model = load_model(model_path, compile=False)
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/models.py", line 246, in load_model
model = model_from_config(model_config, custom_objects=custom_objects)
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/models.py", line 314, in model_from_config
return layer_module.deserialize(config, custom_objects=custom_objects)
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/layers/__init__.py", line 54, in deserialize
printable_module_name='layer')
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/utils/generic_utils.py", line 140, in deserialize_keras_object
list(custom_objects.items())))
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/engine/topology.py", line 2450, in from_config
process_layer(layer_data)
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/engine/topology.py", line 2419, in process_layer
custom_objects=custom_objects)
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/layers/__init__.py", line 54, in deserialize
printable_module_name='layer')
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/utils/generic_utils.py", line 142, in deserialize_keras_object
return cls.from_config(config['config'])
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/engine/topology.py", line 1242, in from_config
return cls(**config)
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/layers/advanced_activations.py", line 38, in __init__
self.alpha = K.cast_to_floatx(alpha)
"/home/wr506/anaconda3/envs/flyfly_py2/lib/python3.5/site-packages/keras/backend/common.py", line 108, in cast_to_floatx
return np.asarray(x, dtype=_FLOATX)
"/home/wr506/.local/lib/python3.5/site-packages/numpy/core/numeric.py", line 501, in asarray
return array(a, dtype, copy=False, order=order)
TypeError: float() argument must be a string or a number, not 'dict'
|
Consider bin/autoformat-nuitka-source: Traceback (most recent call last):
"./bin/autoformat-nuitka-source", line 34, in <module>
main()
"./nuitka/tools/quality/autoformat/__main__.py", line 100, in main
autoformat(filename, git_stage=False, abort=options.abort)
"./nuitka/tools/quality/autoformat/Autoformat.py", line 332, in autoformat
output_file.write(old_code)
TypeError: a bytes-like object is required, not 'str'
| 0.551796
|
Traceback (most recent call last):
"ice\decorators.py", line 9, in wrapped
"ice\runners\ice_engine.py", line 131, in run
"ice\runners\ice_engine.py", line 104, in create_backup
"ice\backups.py", line 67, in create_backup_of_shortcuts
"pysteam\shortcuts.py", line 30, in write_shortcuts
"pysteam\_shortcut_generator.py", line 20, in to_string
"pysteam\_shortcut_generator.py", line 27, in generate_array_string
TypeError: object of type 'NoneType' has no len()
|
Traceback (most recent call last):
"test_linalg.py", line 121, in test_svd_aa_cusolver_float64
u_gpu, s_gpu, vh_gpu = linalg.svd(a_gpu, lib='cusolver')
TypeError: svd() got an unexpected keyword argument 'lib'
| 0.491606
|
Traceback (most recent call last):
".\pdseg\tools\labelme2seg.py", line 94, in <module>
main(args)
".\pdseg\tools\labelme2seg.py", line 81, in main
if lbl.min() >= 0 and lbl.max() <= 255:
AttributeError: 'tuple' object has no attribute 'min'
|
Traceback (most recent call last):
"<stdin>", line 1, in <module>
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\api.py", line 118, in connect
client = ImpalaClient(con, hdfs_client=hdfs_client)
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\client.py", line 791, in __init__
self._ensure_temp_db_exists()
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\client.py", line 1394, in _ensure_temp_db_exists
if not self.exists_database(name):
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\client.py", line 909, in exists_database
return bool(self.list_databases(like=name))
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\client.py", line 1004, in list_databases
with self._execute(statement, results=True) as cur:
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\client.py", line 122, in _execute
cur = self.con.execute(query)
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\client.py", line 102, in execute
cursor = self._get_cursor()
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\client.py", line 134, in _get_cursor
return self._new_cursor()
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\ibis\impala\client.py", line 147, in _new_cursor
con = impyla.connect(database=self.database, **params)
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\impala\dbapi.py", line 147, in connect
auth_mechanism=auth_mechanism)
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\impala\hiveserver2.py", line 764, in connect
transport.open()
"C:\ProgramData\Anaconda3\envs\hadoop3.6\lib\site-packages\thrift_sasl\__init__.py", line 67, in open
if not self._trans.isOpen():
AttributeError: 'TSocket' object has no attribute 'isOpen'
| 0.610379
|
Traceback (most recent call last):
"c:\users\admini~1\appdata\local\temp\kitchen\testing\tests\integration\modules\test_state.py", line 240, in test_run_request_succeeded
result = ret[key]['result']
TypeError: 'bool' object has no attribute '__getitem__'
|
Traceback (most recent call last):
"/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
"/root/ufonet/core/webgui.py", line 54, in run
res = self.pages.get(req)
"/root/ufonet/core/webgui.py", line 2820, in get
self.pages[page] = AjaxMap().ajax(pGet)
"/root/ufonet/core/ajaxmap.py", line 235, in ajax
nzn=self.get_next_zombie(zn)
"/root/ufonet/core/ajaxmap.py", line 201, in get_next_zombie
if name in self.zombies:
TypeError: argument of type 'NoneType' is not iterable
| 0.551465
|
Traceback (most recent call last):
"/var/task/wdb/ui.py", line 193, in loop
stop = self.interact()
"/var/task/wdb/ui.py", line 240, in interact
rv = fun(data)
"/var/task/wdb/ui.py", line 469, in do_eval
self.db.hooked = self.handle_exc()
"/var/lang/lib/python3.6/contextlib.py", line 89, in __exit__
next(self.gen)
"/var/task/wdb/__init__.py", line 653, in capture_output
out.extend(sys.stdout.getvalue().splitlines())
"/var/task/project/hooks.py", line 59, in __getattr__
return getattr(self._replaced, attr)
"/var/runtime/awslambda/bootstrap.py", line 361, in __getattr__
return getattr(self._fd, attr)
AttributeError: '_io.TextIOWrapper' object has no attribute 'getvalue'
|
Traceback (most recent call last):
"/Users/jdoe/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2040, in showtraceback
stb = value._render_traceback_()
AttributeError: 'TypeError' object has no attribute '_render_traceback_'
| 0.627236
|
Traceback (most recent call last):
"playground_master.py", line 72, in post
self._bo.register(params=body["params"], target=body["target"])
"/usr/local/lib/python3.5/dist-packages/bayes_opt/bayesian_optimization.py", line 104, in register
self._space.register(params, target)
"/usr/local/lib/python3.5/dist-packages/bayes_opt/target_space.py", line 161, in register
raise KeyError('Data point {} is not unique'.format(x))
KeyError: 'Data point [3.47653914e+04 2.10539196e+02 3.15656650e+00 6.77134492e+00 1.01962491e+01] is not unique'
|
Traceback (most recent call last):
"/home/nwagner/local/lib64/python2.6/site-packages/scipy/weave/tests/test_catalog.py", line 195, in test_get_existing_files2
q.add_function('code', os.getpid)
"/home/nwagner/local/lib64/python2.6/site-packages/scipy/weave/catalog.py", line 653, in add_function
self.add_function_persistent(code,function)
"/home/nwagner/local/lib64/python2.6/site-packages/scipy/weave/catalog.py", line 688, in add_function_persistent
function_list = function_list + cat.get(code,[])
"/usr/lib64/python2.6/shelve.py", line 113, in get
if key in self.dict:
"/home/nwagner/local/lib64/python2.6/site-packages/scipy/io/dumbdbm_patched.py", line 73, in __getitem__
pos, siz = self._index[key] # may raise KeyError
KeyError: 0
| 0.552292
|
Traceback (most recent call last):
"C:\Users\diarm\AppData\Local\Programs\Python\Python38-32\lib\site-packages\discord\client.py", line 312, in _run_event
await coro(*args, **kwargs)
TypeError: on_message() missing 1 required positional argument: 'message'
|
Traceback (most recent call last):
"train.py", line 358, in <module>
main(args)
"train.py", line 78, in main
trainer.dummy_train_step([dummy_batch])
"/home/roberto.dessi/new_fairseq/fairseq/trainer.py", line 326, in dummy_train_step
self.train_step(dummy_batch, dummy_batch=True)
"/home/roberto.dessi/new_fairseq/fairseq/trainer.py", line 176, in train_step
ignore_grad
"/home/roberto.dessi/new_fairseq/fairseq/tasks/fairseq_task.py", line 169, in train_step
loss, sample_size, logging_output = criterion(model, sample)
"/home/roberto.dessi/.virtualenvs/work/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in __call__
result = self.forward(*input, **kwargs)
"/home/roberto.dessi/new_fairseq/fairseq/criterions/cross_entropy.py", line 30, in forward
net_output = model(**sample['net_input'])
TypeError: 'NoneType' object is not subscriptable
| 0.507813
|
Traceback (most recent call last):
"/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 454, in _handle_events
self._handle_send()
"/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 493, in _handle_send
status = self.socket.send_multipart(msg, **kwargs)
"/usr/lib/python3/dist-packages/zmq/sugar/socket.py", line 434, in send_multipart
i, rmsg,
TypeError: Frame 0 ('Some exception handling minion ...) does not support the buffer interface.
|
Traceback (most recent call last):
"fks.py", line 21, in <module>
session.like_by_tags(['stuttgart'], amount=100)
"/Users/pixel/Downloads/InstaPy-master/instapy/instapy.py", line 587, in like_by_tags
self.browser, user_name, self.blacklist
"/Users/pixel/Downloads/InstaPy-master/instapy/like_util.py", line 501, in like_image
add_user_to_blacklist(browser)
TypeError: add_user_to_blacklist() missing 3 required positional arguments: 'username', 'campaign', and 'action'
| 0.548348
|
Traceback (most recent call last):
"./labelme2coco.py", line 187, in <module>
main()
"./labelme2coco.py", line 162, in main
labels, captions, masks = zip(
ValueError: not enough values to unpack (expected 3, got 0)
|
Traceback (most recent call last):
"train_softmax.py", line 1104, in <module>
main()
"train_softmax.py", line 1100, in main
train_net(args)
"train_softmax.py", line 1093, in train_net
epoch_end_callback=checkpoint)
"/home/xiaomin.wu/anaconda2/lib/python2.7/site-packages/mxnet-1.0.0-py2.7.egg/mxnet/module/base_module.py", line 482, in fit
next_data_batch = next(data_iter)
"/autofs/data56/xiaomin.wu/code/bitmain/insightface/src/data.py", line 824, in next
label, s, bbox, landmark = self.next_sample()
"/autofs/data56/xiaomin.wu/code/bitmain/insightface/src/data.py", line 750, in next_sample
header, img = recordio.unpack(s)
"/home/xiaomin.wu/anaconda2/lib/python2.7/site-packages/mxnet-1.0.0-py2.7.egg/mxnet/recordio.py", line 370, in unpack
header = header._replace(label=np.frombuffer(s, np.float32, header.flag))
ValueError: buffer is smaller than requested size
| 0.562179
|
Traceback (most recent call last):
"/usr/local/bin/certbot", line 5, in <module>
from certbot.main import main
"/usr/local/lib/python2.7/dist-packages/certbot/main.py", line 2, in <module>
from certbot._internal import main as internal_main
"/usr/local/lib/python2.7/dist-packages/certbot/_internal/main.py", line 21, in <module>
from certbot._internal import cert_manager
"/usr/local/lib/python2.7/dist-packages/certbot/_internal/cert_manager.py", line 16, in <module>
from certbot._internal import storage
"/usr/local/lib/python2.7/dist-packages/certbot/_internal/storage.py", line 79, in <module>
def add_time_interval(base_time, interval, textparser=parsedatetime.Calendar()):
"/usr/local/lib/python2.7/dist-packages/parsedatetime/__init__.py", line 270, in __init__
self.ptc = Constants()
"/usr/local/lib/python2.7/dist-packages/parsedatetime/__init__.py", line 2381, in __init__
self.locale = get_icu(self.localeID)
"/usr/local/lib/python2.7/dist-packages/parsedatetime/pdt_locales/icu.py", line 56, in get_icu
result['icu'] = icu = pyicu.Locale(locale)
AttributeError: 'module' object has no attribute 'Locale'
|
Error: Traceback (most recent call last):
"./app.py", line 57, in bg_process_outlook_mail_import
outlook_import_mail()
"./background_processes/outlook_import_mail.py", line 322, in outlook_import_mail
close_connections()
"/usr/local/lib/python3.5/dist-packages/exchangelib/protocol.py", line 33, in close_connections
CachingProtocol.clear_cache()
"/usr/local/lib/python3.5/dist-packages/exchangelib/protocol.py", line 190, in clear_cache
protocol.close()
AttributeError: 'RateLimitError' object has no attribute 'close'
| 0.631988
|
Traceback (most recent call last):
"/usr/src/homeassistant/homeassistant/helpers/storage.py", line 193, in _async_callback_delayed_write
await self._async_handle_write_data()
"/usr/src/homeassistant/homeassistant/helpers/storage.py", line 205, in _async_handle_write_data
if "data_func" in data:
TypeError: argument of type 'NoneType' is not iterable
|
Traceback (most recent call last):
"/usr/local/lib/python2.7/site-packages/celery/worker/worker.py", line 203, in start
self.blueprint.start(self)
"/usr/local/lib/python2.7/site-packages/celery/bootsteps.py", line 119, in start
step.start(parent)
"/usr/local/lib/python2.7/site-packages/celery/bootsteps.py", line 370, in start
return self.obj.start()
"/usr/local/lib/python2.7/site-packages/celery/worker/consumer/consumer.py", line 318, in start
blueprint.start(self)
"/usr/local/lib/python2.7/site-packages/celery/bootsteps.py", line 119, in start
step.start(parent)
"/usr/local/lib/python2.7/site-packages/celery/worker/consumer/consumer.py", line 584, in start
c.loop(*c.loop_args())
"/usr/local/lib/python2.7/site-packages/celery/worker/loops.py", line 88, in asynloop
next(loop)
"/usr/local/lib/python2.7/site-packages/kombu/async/hub.py", line 345, in create_loop
cb(*cbargs)
"/usr/local/lib/python2.7/site-packages/kombu/transport/redis.py", line 1038, in on_readable
self.cycle.on_readable(fileno)
"/usr/local/lib/python2.7/site-packages/kombu/transport/redis.py", line 337, in on_readable
chan.handlers[type]()
"/usr/local/lib/python2.7/site-packages/kombu/transport/redis.py", line 670, in _receive
while c.connection.can_read(timeout=0):
TypeError: can_read() got an unexpected keyword argument 'timeout'
| 0.581299
|
Traceback (most recent call last):
"/Users/glennjocher/opt/anaconda3/envs/env1/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3331, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
"<ipython-input-5-be04c762b799>", line 5, in <module>
c = a / 0
RuntimeError: ZeroDivisionError
|
Traceback (most recent call last):
"tools/train.py", line 108, in <module>
main()
"tools/train.py", line 104, in main
logger=logger)
"/home/lab404/mmdetection/mmdet/apis/train.py", line 60, in train_detector
_non_dist_train(model, dataset, cfg, validate=validate)
"/home/lab404/mmdetection/mmdet/apis/train.py", line 221, in _non_dist_train
runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
"/home/lab404/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/runner.py", line 358, in run
epoch_runner(data_loaders[i], **kwargs)
"/home/lab404/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/runner.py", line 264, in train
self.model, data_batch, train_mode=True, **kwargs)
"/home/lab404/mmdetection/mmdet/apis/train.py", line 38, in batch_processor
losses = model(**data)
"/home/lab404/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
"/home/lab404/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward
return self.module(*inputs[0], **kwargs[0])
"/home/lab404/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
"/home/lab404/mmdetection/mmdet/core/fp16/decorators.py", line 49, in new_func
return old_func(*args, **kwargs)
"/home/lab404/mmdetection/mmdet/models/detectors/base.py", line 86, in forward
return self.forward_train(img, img_meta, **kwargs)
"/home/lab404/mmdetection/mmdet/models/detectors/two_stage.py", line 183, in forward_train
*bbox_targets)
"/home/lab404/mmdetection/mmdet/core/fp16/decorators.py", line 127, in new_func
return old_func(*args, **kwargs)
"/home/lab404/mmdetection/mmdet/models/bbox_heads/bbox_head.py", line 123, in loss
4)[pos_inds, labels[pos_inds]]
RuntimeError: copy_if failed to synchronize: device-side assert triggered
| 0.549134
|
Traceback (most recent call last):
"<stdin>", line 1, in <module>
AssertionError: This will be painfully slow otherwise
|
Traceback (most recent call last):
"/usr/lib/python3.8/site-packages/_pytest/pytester.py", line 1052, in runpytest_inprocess
reprec = self.inline_run(*args, **kwargs)
"/usr/lib/python3.8/site-packages/_pytest/pytester.py", line 1019, in inline_run
ret = pytest.main(list(args), plugins=plugins)
"/usr/lib/python3.8/site-packages/_pytest/config/__init__.py", line 143, in main
config = _prepareconfig(args, plugins)
"/usr/lib/python3.8/site-packages/_pytest/config/__init__.py", line 318, in _prepareconfig
config = pluginmanager.hook.pytest_cmdline_parse(
"/usr/lib/python3.8/site-packages/pluggy/hooks.py", line 286, in __call__
return self._hookexec(self, self.get_hookimpls(), kwargs)
"/usr/lib/python3.8/site-packages/pluggy/manager.py", line 93, in _hookexec
return self._inner_hookexec(hook, methods, kwargs)
"/usr/lib/python3.8/site-packages/pluggy/manager.py", line 84, in <lambda>
self._inner_hookexec = lambda hook, methods, kwargs: hook.multicall(
"/usr/lib/python3.8/site-packages/pluggy/callers.py", line 203, in _multicall
gen.send(outcome)
"/usr/lib/python3.8/site-packages/_pytest/helpconfig.py", line 100, in pytest_cmdline_parse
config = outcome.get_result()
# type: Config
"/usr/lib/python3.8/site-packages/pluggy/callers.py", line 80, in get_result
raise ex[1].with_traceback(ex[2])
"/usr/lib/python3.8/site-packages/pluggy/callers.py", line 187, in _multicall
res = hook_impl.function(*args)
"/usr/lib/python3.8/site-packages/_pytest/config/__init__.py", line 1003, in pytest_cmdline_parse
self.parse(args)
"/usr/lib/python3.8/site-packages/_pytest/config/__init__.py", line 1280, in parse
self._preparse(args, addopts=addopts)
"/usr/lib/python3.8/site-packages/_pytest/config/__init__.py", line 1186, in _preparse
self.hook.pytest_load_initial_conftests(
"/usr/lib/python3.8/site-packages/pluggy/hooks.py", line 286, in __call__
return self._hookexec(self, self.get_hookimpls(), kwargs)
"/usr/lib/python3.8/site-packages/pluggy/manager.py", line 93, in _hookexec
return self._inner_hookexec(hook, methods, kwargs)
"/usr/lib/python3.8/site-packages/pluggy/manager.py", line 84, in <lambda>
self._inner_hookexec = lambda hook, methods, kwargs: hook.multicall(
"/usr/lib/python3.8/site-packages/pluggy/callers.py", line 203, in _multicall
gen.send(outcome)
"/usr/lib/python3.8/site-packages/_pytest/warnings.py", line 139, in pytest_load_initial_conftests
yield
"/usr/lib64/python3.8/contextlib.py", line 120, in __exit__
next(self.gen)
"/usr/lib/python3.8/site-packages/_pytest/warnings.py", line 64, in catch_warnings_for_item
ihook.pytest_warning_captured.call_historic(
"/usr/lib/python3.8/site-packages/pluggy/hooks.py", line 308, in call_historic
res = self._hookexec(self, self.get_hookimpls(), kwargs)
"/usr/lib/python3.8/site-packages/pluggy/manager.py", line 93, in _hookexec
return self._inner_hookexec(hook, methods, kwargs)
"/usr/lib/python3.8/site-packages/pluggy/manager.py", line 84, in <lambda>
self._inner_hookexec = lambda hook, methods, kwargs: hook.multicall(
"/usr/lib/python3.8/site-packages/pluggy/callers.py", line 208, in _multicall
return outcome.get_result()
"/usr/lib/python3.8/site-packages/pluggy/callers.py", line 80, in get_result
raise ex[1].with_traceback(ex[2])
"/usr/lib/python3.8/site-packages/pluggy/callers.py", line 187, in _multicall
res = hook_impl.function(*args)
"/tmp/pytest-of-tkloczko/pytest-71/test_warning_captured_deprecated_in_pytest_60/conftest.py", line 2, in pytest_warning_captured
assert False, "this hook should not be called in this version"
AssertionError: this hook should not be called in this version
| 0.498434
|
Traceback (most recent call last):
"/usr/lib64/python3.6/multiprocessing/pool.py", line 119, in worker
result = (True, func(*args, **kwds))
"/mnt/beegfs/home/thomas.haider/Documents/workspace/poetry/farm/FARM/farm/data_handler/data_silo.py", line 72, in _multiproc
dataset = processor.dataset_from_dicts(dicts=dicts, index=index)
"/mnt/beegfs/home/thomas.haider/Documents/workspace/poetry/farm/FARM/farm/data_handler/processor.py", line 299, in dataset_from_dicts
self._log_samples(3)
"/mnt/beegfs/home/thomas.haider/Documents/workspace/poetry/farm/FARM/farm/data_handler/processor.py", line 311, in _log_samples
random_sample = random.choice(random_basket.samples)
"/mnt/beegfs/home/thomas.haider/Documents/workspace/python36-venv/lib64/python3.6/random.py", line 260, in choice
raise IndexError('Cannot choose from an empty sequence') from None
IndexError: Cannot choose from an empty sequence
|
Traceback (most recent call last):
"/home/tianyili/下载/Sphereface_Pytorch/lfw_eval.py", line 137, in <module>
best_thresh = find_best_threshold(thresholds, predicts[train])
IndexError: too many indices for array
| 0.53573
|
Traceback (most recent call last):
"C:\Users\adnan\AppData\Local\Programs\Python\Python38-32\lib\site-packages\tornado\ioloop.py", line 907, in _run
return self.callback()
"C:\Users\adnan\AppData\Local\Programs\Python\Python38-32\lib\site-packages\distributed\nanny.py", line 414, in memory_monitor
process = self.process.process
AttributeError: 'NoneType' object has no attribute 'process'
|
Traceback (most recent call last):
"D:\Code\GitHub\StarCraft-Casting-Tool\scctool\tasks\webapp.py", line 189, in run
self.application.run(port=65010)
"c:\users\tasch\appdata\local\programs\python\python36-32\lib\site-packages\flask\app.py", line 938, in run
cli.show_server_banner(self.env, self.debug, self.name, False)
"c:\users\tasch\appdata\local\programs\python\python36-32\lib\site-packages\flask\cli.py", line 629, in show_server_banner
click.echo(message)
"c:\users\tasch\appdata\local\programs\python\python36-32\lib\site-packages\click\utils.py", line 217, in echo
file = _default_text_stdout()
"c:\users\tasch\appdata\local\programs\python\python36-32\lib\site-packages\click\_compat.py", line 621, in func
rv = wrapper_func()
"c:\users\tasch\appdata\local\programs\python\python36-32\lib\site-packages\click\_compat.py", line 385, in get_text_stdout
rv = _get_windows_console_stream(sys.stdout, encoding, errors)
"c:\users\tasch\appdata\local\programs\python\python36-32\lib\site-packages\click\_winconsole.py", line 264, in _get_windows_console_stream
f = getattr(f, 'buffer')
AttributeError: '
Wrapper' object has no attribute 'buffer'
| 0.606091
|
Traceback (most recent call last):
"/usr/lib64/python3.6/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
TypeError: test_test_user_agent_injection() missing 1 required positional argument: 'monkeypatch'
|
Traceback (most recent call last):
"/home/timberners/anaconda3/envs/tensorflow/lib/python3.5/threading.py", line 914, in _bootstrap_inner
self.run()
"/home/timberners/anaconda3/envs/tensorflow/lib/python3.5/threading.py", line 862, in run
self._target(*self._args, **self._kwargs)
"/media/timberners/magicae/models/im2txt/bazel-bin/im2txt/download_and_preprocess_mscoco.runfiles/im2txt/im2txt/data/build_mscoco_data.py", line 281, in _process_image_files
sequence_example = _to_sequence_example(image, decoder, vocab)
"/media/timberners/magicae/models/im2txt/bazel-bin/im2txt/download_and_preprocess_mscoco.runfiles/im2txt/im2txt/data/build_mscoco_data.py", line 227, in _to_sequence_example
"image/data": _bytes_feature(encoded_image),
"/media/timberners/magicae/models/im2txt/bazel-bin/im2txt/download_and_preprocess_mscoco.runfiles/im2txt/im2txt/data/build_mscoco_data.py", line 192, in _bytes_feature
return tf.train.Feature(bytes_list=tf.train.BytesList(value=[str(value)]))
TypeError: 'b\'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x01\\x01\\x01\\x00H\\x00H\\x00\\x00\\xff\\xdb\\x00C\\x0 has type str, but expected one of: bytes
| 0.456594
|
Traceback (most recent call last):
"ernie_encoder.py", line 182, in <module>
main(args)
"ernie_encoder.py", line 172, in main
np.save(cls_emb_file, total_cls_emb)
"/home/tjmu/anaconda3/lib/python3.6/site-packages/numpy/lib/npyio.py", line 511, in save
pickle_kwargs=pickle_kwargs)
"/home/tjmu/anaconda3/lib/python3.6/site-packages/numpy/lib/format.py", line 565, in write_array
version)
"/home/tjmu/anaconda3/lib/python3.6/site-packages/numpy/lib/format.py", line 335, in _write_array_header
fp.write(header_prefix)
TypeError: write() argument must be str, not bytes
|
```Traceback (most recent call last):
"/venv/bin/superset", line 8, in <module>
sys.exit(superset())
"/venv/lib/python3.7/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
"/venv/lib/python3.7/site-packages/flask/cli.py", line 586, in main
return super(FlaskGroup, self).main(*args, **kwargs)
"/venv/lib/python3.7/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
"/venv/lib/python3.7/site-packages/click/core.py", line 1256, in invoke
Command.invoke(self, ctx)
"/venv/lib/python3.7/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
"/venv/lib/python3.7/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
"/venv/lib/python3.7/site-packages/click/decorators.py", line 21, in new_func
return f(get_current_context(), *args, **kwargs)
"/venv/lib/python3.7/site-packages/flask/cli.py", line 425, in decorator
with __ctx.ensure_object(ScriptInfo).load_app().app_context():
"/venv/lib/python3.7/site-packages/flask/cli.py", line 381, in load_app
app = call_factory(self, self.create_app)
"/venv/lib/python3.7/site-packages/flask/cli.py", line 119, in call_factory
return app_factory()
"/venv/lib/python3.7/site-packages/superset/app.py", line 69, in create_app
raise ex
"/venv/lib/python3.7/site-packages/superset/app.py", line 62, in create_app
app_initializer.init_app()
"/venv/lib/python3.7/site-packages/superset/app.py", line 548, in init_app
self.configure_cache()
"/venv/lib/python3.7/site-packages/superset/app.py", line 570, in configure_cache
cache_manager.init_app(self.flask_app)
"/venv/lib/python3.7/site-packages/superset/utils/cache_manager.py", line 48, in init_app
**app.config["THUMBNAIL_CACHE_CONFIG"],
TypeError: 'function' object is not a mapping
| 0.59349
|
Traceback (most recent call last):
"verify.py", line 6, in <module>
proj = angr.Project('./sftp')
"/usr/lib/python2.7/site-packages/angr/project.py", line 164, in __init__
self.loader = cle.Loader(self.filename, **load_options)
"/usr/lib/python2.7/site-packages/cle/loader.py", line 126, in __init__
self.initial_load_objects = self._internal_load(main_binary, *force_load_libs)
"/usr/lib/python2.7/site-packages/cle/loader.py", line 493, in _internal_load
main_obj = self._load_object_isolated(main_spec)
"/usr/lib/python2.7/site-packages/cle/loader.py", line 587, in _load_object_isolated
return backend_cls(full_spec, is_main_bin=self.main_object is None, loader=self, **options)
"/usr/lib/python2.7/site-packages/cle/backends/elf/elf.py", line 111, in __init__
self.__register_segments()
"/usr/lib/python2.7/site-packages/cle/backends/elf/elf.py", line 428, in __register_segments
self.__register_dyn(seg)
"/usr/lib/python2.7/site-packages/cle/backends/elf/elf.py", line 456, in __register_dyn
self.strtab = elffile.StringTableSection(fakestrtabheader, 'strtab_cle', self.memory)
"/usr/lib/python2.7/site-packages/elftools/elf/sections.py", line 30, in __init__
self.stream = self.elffile.stream
AttributeError: 'Clemory' object has no attribute 'stream'
|
[autoreload of pandas.core.tools.timedeltas failed: Traceback (most recent call last):
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/IPython/extensions/autoreload.py", line 246, in check
superreload(m, reload, self.old_objects)
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/IPython/extensions/autoreload.py", line 369, in superreload
module = reload(module)
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/imp.py", line 315, in reload
return importlib.reload(module)
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
"<frozen importlib._bootstrap>", line 618, in _exec
"<frozen importlib._bootstrap_external>", line 678, in exec_module
"<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
"/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/pandas/core/tools/timedeltas.py", line 7, in <module>
import pandas._libs.tslib as tslib
AttributeError: module 'pandas._libs' has no attribute 'tslib'
| 0.620755
|
Traceback (most recent call last):
"/app/medusa/medusa/providers/torrent/html/yggtorrent.py", line 139, in parse
pubdate = self.parse_pubdate(pubdate_raw, human_time=True)
"/app/medusa/medusa/providers/generic_provider.py", line 564, in parse_pubdate
return datetime.now(tz.tzlocal()) - timedelta(seconds=seconds)
TypeError: unsupported type for timedelta seconds component: NoneType
|
Traceback (most recent call last):
"/home/yicanday5/anaconda3/lib/python3.6/multiprocessing/process.py", line 249, in _bootstrap
self.run()
"/home/yicanday5/anaconda3/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/pynisher/limit_function_call.py", line 83, in subprocess_func
return_value = ((func(*args, **kwargs), 0))
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/autosklearn/smbo.py", line 282, in _calculate_metafeatures
logger=self.logger)
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/autosklearn/smbo.py", line 106, in _calculate_metafeatures
dont_calculate=EXCLUDE_META_FEATURES, )
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/autosklearn/metalearning/metafeatures/metafeatures.py", line 921, in calculate_all_metafeatures_with_labels
dont_calculate=dont_calculate)
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/autosklearn/metalearning/metafeatures/metafeatures.py", line 1020, in calculate_all_metafeatures
value = metafeatures[name](X_, y_, categorical_)
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/autosklearn/metalearning/metafeatures/metafeature.py", line 33, in __call__
value = self._calculate(X, y, categorical)
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/autosklearn/metalearning/metafeatures/metafeatures.py", line 444, in _calculate
std = np.nanstd(values)
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/numpy/lib/nanfunctions.py", line 1304, in nanstd
keepdims=keepdims)
"/home/yicanday5/anaconda3/lib/python3.6/site-packages/numpy/lib/nanfunctions.py", line 1202, in nanvar
warnings.warn("Degrees of freedom <= 0 for slice.", RuntimeWarning)
"/home/yicanday5/anaconda3/lib/python3.6/warnings.py", line 99, in _showwarnmsg
msg.file, msg.line)
TypeError: _send_warnings_to_log() takes from 5 to 6 positional arguments but 7 were given
| 0.555796
|
Traceback (most recent call last):
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/core/handlers/exception.py", line 42, in inner
response = get_response(request)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/core/handlers/base.py", line 249, in _legacy_get_response
response = self._get_response(request)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/core/handlers/base.py", line 187, in _get_response
response = self.process_exception_by_middleware(e, request)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/core/handlers/base.py", line 185, in _get_response
response = wrapped_callback(request, *callback_args, **callback_kwargs)
"/home/ubuntu/taiga-back/taiga/base/api/viewsets.py", line 106, in view
return self.dispatch(request, *args, **kwargs)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/views/decorators/csrf.py", line 58, in wrapped_view
return view_func(*args, **kwargs)
"/home/ubuntu/taiga-back/taiga/base/api/views.py", line 461, in dispatch
response = self.handle_exception(exc)
"/home/ubuntu/taiga-back/taiga/base/api/views.py", line 458, in dispatch
response = handler(request, *args, **kwargs)
"/home/ubuntu/taiga-back/taiga/base/api/mixins.py", line 207, in partial_update
return self.update(request, *args, **kwargs)
"/home/ubuntu/taiga-back/taiga/projects/tasks/api.py", line 203, in update
return super().update(request, *args, **kwargs)
"/usr/lib/python3.5/contextlib.py", line 30, in inner
return func(*args, **kwds)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/db/transaction.py", line 267, in __exit__
connection.set_autocommit(True)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/db/backends/base/base.py", line 396, in set_autocommit
self.run_and_clear_commit_hooks()
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/django/db/backends/base/base.py", line 624, in run_and_clear_commit_hooks
func()
"/home/ubuntu/taiga-back/taiga/webhooks/signal_handlers.py", line 75, in <lambda>
connection.on_commit(lambda: _execute_task(task, webhooks_args))
"/home/ubuntu/taiga-back/taiga/webhooks/signal_handlers.py", line 84, in _execute_task
task(*webhook_args)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/celery/local.py", line 191, in __call__
return self._get_current_object()(*a, **kw)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/celery/app/task.py", line 379, in __call__
return self.run(*args, **kwargs)
"/home/ubuntu/taiga-back/taiga/webhooks/tasks.py", line 142, in change_webhook
data['data'] = _serialize(obj)
"/home/ubuntu/taiga-back/taiga/webhooks/tasks.py", line 47, in _serialize
return TaskSerializer(obj).data
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/serpy/serializer.py", line 134, in data
self._data = self.to_value(self.instance)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/serpy/serializer.py", line 124, in to_value
return self._serialize(instance, fields)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/serpy/serializer.py", line 114, in _serialize
result = to_value(result)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/serpy/serializer.py", line 124, in to_value
return self._serialize(instance, fields)
"/home/ubuntu/.virtualenvs/taiga/lib/python3.5/site-packages/serpy/serializer.py", line 107, in _serialize
result = getter(self, instance)
"/home/ubuntu/taiga-back/taiga/webhooks/serializers.py", line 165, in get_custom_attributes_values
values = obj.custom_attributes_values.attributes_values
AttributeError: 'NoneType' object has no attribute 'custom_attributes_values'
|
Traceback (most recent call last):
"/usr/share/dupeguru/qt/results_model.py", line 93, in appWillSavePrefs
self.model.columns.save_columns()
AttributeError: 'NoneType' object has no attribute 'model'
| 0.63716
|
Traceback (most recent call last):
"/tmp/kitchen/testing/tests/support/helpers.py", line 123, in wrap
return caller(cls)
"/tmp/kitchen/testing/tests/integration/modules/test_shadow.py", line 211, in test_set_expire
self.assertTrue(self.run_function('shadow.set_expire', [self._test_user, '2016-08-25']))
AssertionError: False is not true
|
Traceback (most recent call last):
"/home/data/penny/CelebAMask-HQ-master/face_parsing/main.py", line 27, in <module>
main(config)
"/home/data/penny/CelebAMask-HQ-master/face_parsing/main.py", line 19, in main
trainer.train()
"/home/data/penny/CelebAMask-HQ-master/face_parsing/trainer.py", line 120, in train
writer.add_image('imresult/img', (imgs.data + 1) / 2.0, step)
"/usr/local/lib/python3.5/dist-packages/tensorboardX/writer.py", line 548, in add_image
image(tag, img_tensor, dataformats=dataformats), global_step, walltime)
"/usr/local/lib/python3.5/dist-packages/tensorboardX/summary.py", line 211, in image
tensor = convert_to_HWC(tensor, dataformats)
"/usr/local/lib/python3.5/dist-packages/tensorboardX/utils.py", line 103, in convert_to_HWC
tensor shape: {}, input_format: {}".format(tensor.shape, input_format)
AssertionError: size of input tensor and input format are different.
tensor shape: (8, 3, 512, 512), input_format: CHW
| 0.536716
|
^CTraceback (most recent call last):
"/home/dan/Dropbox/tech/fastai/dan_fastai/venv-fastai/lib/python3.5/site-packages/urllib3/connectionpool.py", line 377, in _make_request
httplib_response = conn.getresponse(buffering=True)
TypeError: getresponse() got an unexpected keyword argument 'buffering'
|
Traceback (most recent call last):
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\errors.py", line 717, in new_error_context
yield
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\lowering.py", line 260, in lower_block
self.lower_inst(inst)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\lowering.py", line 465, in lower_assign
return self.lower_expr(ty, value)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\lowering.py", line 1070, in lower_expr
return self.context.build_list(self.builder, resty, castvals)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\targets\cpu.py", line 129, in build_list
return listobj.build_list(self, builder, list_type, items)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\targets\listobj.py", line 451, in build_list
inst = ListInstance.allocate(context, builder, list_type, nitems)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\targets\listobj.py", line 319, in allocate
ok, self = cls.allocate_ex(context, builder, list_type, nitems)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\targets\listobj.py", line 268, in allocate_ex
self.zfill(self.size.type(0), nitems)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\targets\listobj.py", line 222, in zfill
cgutils.memset(builder, base, size, ir.IntType(8)(0))
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\numba\cgutils.py", line 866, in memset
builder.call(fn, [ptr, value, size, int32_t(0), bool_t(0)])
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\llvmlite\ir\builder.py", line 841, in call
cconv=cconv, tail=tail, fastmath=fastmath)
"C:\Users\Admin\AppData\Local\Programs\Python\Python37\lib\site-packages\llvmlite\ir\instructions.py", line 84, in __init__
raise TypeError(msg)
TypeError: Type of #4 arg mismatch: i1 != i32
| 0.576134
|
Traceback (most recent call last):
"C:\Program
s\JetBrains\PyCharm 2019.1\helpers\pydev\pydevd.py", line 1758, in <module>
main()
"C:\Program
s\JetBrains\PyCharm 2019.1\helpers\pydev\pydevd.py", line 1752, in main
globals = debugger.run(setup['file'], None, None, is_module)
"C:\Program
s\JetBrains\PyCharm 2019.1\helpers\pydev\pydevd.py", line 1147, in run
pydev_imports.execfile(file, globals, locals)
# execute the script
"C:\Program
s\JetBrains\PyCharm 2019.1\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
"C:/Users/.../postgres_jdbc_new.py", line 50, in <module>
jars=jdbc_driver_loc,
"C:\Users\...\AppData\Local\conda\conda\envs\py37\lib\site-packages\jaydebeapi\__init__.py", line 381, in connect
jconn = _jdbc_connect(jclassname, url, driver_args, jars, libs)
"C:\Users\...\AppData\Local\conda\conda\envs\py37\lib\site-packages\jaydebeapi\__init__.py", line 176, in _jdbc_connect_jpype
jpype.startJVM(jvm_path, *args)
"C:\Users\...\AppData\Local\conda\conda\envs\py37\lib\site-packages\jpype\_core.py", line 227, in startJVM
_jpype.startup(jvmpath, tuple(args), ignoreUnrecognized, convertStrings)
RuntimeError: java.lang.ClassNotFoundException: org.jpype.Utility
|
Traceback (most recent call last):
"./main.py", line 52, in <module>
main()
"./main.py", line 34, in main
at, ats = service.get_access_token(rt, rts, params={'oauth_verifier': verifier})
"/home/tetractius/PycharmProjects/SmugmugPyAuth/venv/lib/python3.8/site-packages/rauth/service.py", line 332, in get_access_token
process_token_request(r, decoder, key_token, key_token_secret)
"/home/tetractius/PycharmProjects/SmugmugPyAuth/venv/lib/python3.8/site-packages/rauth/service.py", line 20, in process_token_request
data = decoder(r.content)
"/home/tetractius/PycharmProjects/SmugmugPyAuth/venv/lib/python3.8/site-packages/rauth/utils.py", line 26, in parse_utf8_qsl
for k, v in d.items():
# pragma: no cover
RuntimeError: dictionary keys changed during iteration
| 0.543181
|
Traceback (most recent call last):
"train.py", line 43, in <module>
main()
"train.py", line 39, in main
Dense2pModel.train_net(args=args)
"/content/dense2p/dense2p.py", line 687, in train_net
launch_train_with_config(traincfg, trainer)
"/usr/local/lib/python3.6/dist-packages/tensorpack/train/interface.py", line 87, in launch_train_with_config
model._build_graph_get_cost, model.get_optimizer)
"/usr/local/lib/python3.6/dist-packages/tensorpack/utils/argtools.py", line 176, in wrapper
return func(*args, **kwargs)
"/usr/local/lib/python3.6/dist-packages/tensorpack/train/tower.py", line 204, in setup_graph
train_callbacks = self._setup_graph(input, get_cost_fn, get_opt_fn)
"/usr/local/lib/python3.6/dist-packages/tensorpack/train/trainers.py", line 186, in _setup_graph
self._make_get_grad_fn(input, get_cost_fn, get_opt_fn), get_opt_fn)
"/usr/local/lib/python3.6/dist-packages/tensorpack/graph_builder/training.py", line 223, in build
use_vs=[False] + [True] * (len(self.towers) - 1))
"/usr/local/lib/python3.6/dist-packages/tensorpack/graph_builder/training.py", line 119, in build_on_towers
ret.append(func())
"/usr/local/lib/python3.6/dist-packages/tensorpack/train/tower.py", line 242, in get_grad_fn
opt = get_opt_fn()
"/usr/local/lib/python3.6/dist-packages/tensorpack/utils/argtools.py", line 200, in wrapper
value = func(*args, **kwargs)
"/usr/local/lib/python3.6/dist-packages/tensorpack/graph_builder/model_desc.py", line 230, in get_optimizer
return self.optimizer()
"/usr/local/lib/python3.6/dist-packages/tensorpack/tfutils/scope_utils.py", line 52, in wrapper
return func(*args, **kwargs)
"/content/dense2p/dense2p.py", line 66, in optimizer
lr = tf.get_variable('learning_rate', initializer=0.003, trainable=False)
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variable_scope.py", line 1487, in get_variable
aggregation=aggregation)
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variable_scope.py", line 1237, in get_variable
aggregation=aggregation)
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variable_scope.py", line 540, in get_variable
aggregation=aggregation)
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variable_scope.py", line 492, in _true_getter
aggregation=aggregation)
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variable_scope.py", line 879, in _get_single_variable
"reuse=tf.AUTO_REUSE in VarScope?" % name)
ValueError: Variable learning_rate does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?
|
Traceback (most recent call last):
"tools/train.py", line 142, in <module>
main()
"tools/train.py", line 138, in main
meta=meta)
"/home/mmdetection/mmdet/apis/train.py", line 111, in train_detector
meta=meta)
"/home/mmdetection/mmdet/apis/train.py", line 235, in _non_dist_train
runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
"/usr/local/lib/python3.5/dist-packages/mmcv-0.4.0-py3.5-linux-x86_64.egg/mmcv/runner/runner.py", line 359, in run
epoch_runner(data_loaders[i], **kwargs)
"/usr/local/lib/python3.5/dist-packages/mmcv-0.4.0-py3.5-linux-x86_64.egg/mmcv/runner/runner.py", line 263, in train
self.model, data_batch, train_mode=True, **kwargs)
"/home/mmdetection/mmdet/apis/train.py", line 75, in batch_processor
losses = model(**data)
"/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
"/usr/local/lib/python3.5/dist-packages/torch/nn/parallel/data_parallel.py", line 153, in forward
return self.gather(outputs, self.output_device)
"/usr/local/lib/python3.5/dist-packages/torch/nn/parallel/data_parallel.py", line 165, in gather
return gather(outputs, output_device, dim=self.dim)
"/usr/local/lib/python3.5/dist-packages/torch/nn/parallel/scatter_gather.py", line 67, in gather
return gather_map(outputs)
"/usr/local/lib/python3.5/dist-packages/torch/nn/parallel/scatter_gather.py", line 59, in gather_map
raise ValueError('All dicts must have the same number of keys')
ValueError: All dicts must have the same number of keys
| 0.553644
|
Traceback (most recent call last):
"D:/Code/CodePy/ForPycharm/MYTestData/mtyunDLS/testkeras/myvggfinetun/finetunenasnet.py", line 61, in <module>
model = mynasnet.NASNetLarge(input_shape=None, include_top=True, weights='imagenet', input_tensor=None, pooling=None)
"D:\Code\CodePy\ForPycharm\MYTestData\mtyunDLS\testkeras\myvggfinetun\mynasnet.py", line 362, in NASNetLarge
default_size=331)
"D:\Code\CodePy\ForPycharm\MYTestData\mtyunDLS\testkeras\myvggfinetun\mynasnet.py", line 289, in NASNet
model.load_weights(weights_file)
"C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2619, in load_weights
load_weights_from_hdf5_group(f, self.layers)
"C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 3068, in load_weights_from_hdf5_group
str(len(filtered_layers)) + ' layers.')
ValueError: You are trying to load a weight file containing 533 layers into a model with 527 layers.
|
Traceback (most recent call last):
"xxx/python3.7/site-packages/IPython/core/interactiveshell.py", line 3331, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
"<ipython-input-2-1f849a21d3d1>", line 10, in <module>
z = x > y
"xxx/python3.7/site-packages/pint/quantity.py", line 1484, in <lambda>
__gt__ = lambda self, other: self.compare(other, op=operator.gt)
"xxx/python3.7/site-packages/pint/quantity.py", line 106, in wrapped
result = f(self, *args, **kwargs)
"xxx/python3.7/site-packages/pint/quantity.py", line 1471, in compare
raise ValueError("Cannot compare Quantity and {}".format(type(other)))
ValueError: Cannot compare Quantity and <class 'pint.quantity.Quantity'>
| 0.547505
|
Traceback (most recent call last):
"/home/super/bitterxbot/freqtrade/freqtrade/rpc/telegram.py", line 108, in wrapper
return command_handler(*args, **kwargs)
"/home/super/bitterxbot/freqtrade/freqtrade/rpc/telegram.py", line 457, in _forcesell
_exec_forcesell(trade)
"/home/super/bitterxbot/freqtrade/freqtrade/rpc/telegram.py", line 583, in _exec_forcesell
execute_sell(trade, current_rate)
"/home/super/bitterxbot/freqtrade/freqtrade/main.py", line 131, in execute_sell
_CONF['fiat_display_currency']
KeyError: 'fiat_display_currency'
|
Traceback (most recent call last):
"/Users/wenjun.swj/Code/mars/mars/promise.py", line 378, in _wrapped
return func(*args, **kwargs)
"/Users/wenjun.swj/Code/mars/mars/utils.py", line 383, in _wrapped
return func(*args, **kwargs)
"/Users/wenjun.swj/Code/mars/mars/worker/execution.py", line 501, in execute_graph
graph_record = self._graph_records[(session_id, graph_key)] = GraphExecutionRecord(
"/Users/wenjun.swj/Code/mars/mars/worker/execution.py", line 57, in __init__
graph = self.graph = deserialize_graph(graph_serialized)
"/Users/wenjun.swj/Code/mars/mars/utils.py", line 317, in deserialize_graph
return graph_cls.from_json(json_obj)
"mars/graph.pyx", line 440, in mars.graph.DirectedGraph.from_json
return cls.deserialize(SerializableGraph.from_json(json_obj))
"mars/serialize/core.pyx", line 718, in mars.serialize.core.Serializable.from_json
return cls.deserialize(provider, obj)
"mars/serialize/core.pyx", line 689, in mars.serialize.core.Serializable.deserialize
[cb(key_to_instance) for cb in callbacks]
"mars/serialize/jsonserializer.pyx", line 787, in mars.serialize.jsonserializer.JsonSerializeProvider.deserialize_field.cb
o = subs[val.key, val.id]
KeyError: ('b6888c78a929d77f42d7f3953fc813d9', '140581826655232')
| 0.555683
|
Traceback (most recent call last):
"run.py", line 373, in main
m.run()
"C:\Users\Ken\Desktop\discord bot\MusicBot\musicbot\bot.py", line 902, in run
self.loop.run_until_complete(self.start(*self.config.auth))
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\asyncio\base_events.py", line 473, in run_until_complete
return future.result()
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\client.py", line 543, in start
await self.connect(reconnect=reconnect)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\client.py", line 457, in connect
await self._connect()
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\client.py", line 421, in _connect
await self.ws.poll_event()
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\gateway.py", line 469, in poll_event
await self.received_message(msg)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\gateway.py", line 423, in received_message
func(data)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\state.py", line 663, in parse_guild_create
guild = self._get_create_guild(data)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\state.py", line 638, in _get_create_guild
guild._from_data(data)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\guild.py", line 391, in _from_data
self._sync(guild)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\guild.py", line 420, in _sync
self._add_channel(VoiceChannel(guild=self, data=c, state=self._state))
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\channel.py", line 504, in __init__
self._update(guild, data)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\channel.py", line 535, in _update
self._fill_overwrites(data)
"C:\Users\Ken\AppData\Local\Programs\Python\Python36\lib\site-packages\discord\abc.py", line 271, in _fill_overwrites
self._overwrites.append(_Overwrites(id=overridden_id, **overridden))
TypeError: __new__() got an unexpected keyword argument 'deny_new'
|
Traceback (most recent call last):
"train_online.py", line 37, in <module>
nlu_interpreter = RasaNLUInterpreter('./models/nlu/default/moodnlu')
"/usr/local/lib/python3.5/dist-packages/rasa_core/interpreter.py", line 219, in __init__
self._load_interpreter()
"/usr/local/lib/python3.5/dist-packages/rasa_core/interpreter.py", line 238, in _load_interpreter
os.environ))
"/usr/local/lib/python3.5/dist-packages/rasa_nlu/model.py", line 230, in load
skip_valdation)
"/usr/local/lib/python3.5/dist-packages/rasa_nlu/model.py", line 253, in create
components.validate_requirements(model_metadata.pipeline)
"/usr/local/lib/python3.5/dist-packages/rasa_nlu/components.py", line 56, in validate_requirements
component_class = registry.get_component_class(component_name)
"/usr/local/lib/python3.5/dist-packages/rasa_nlu/registry.py", line 125, in get_component_class
if component_name not in registered_components:
TypeError: unhashable type: 'dict'
| 0.589516
|
Traceback (most recent call last):
".\train-Copy1.py", line 180, in <module>
val_percent=args.val / 100)
".\train-Copy1.py", line 78, in train_net
masks_pred = net(imgs)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"C:\Users\piyalong\Pytorch-UNet\unet\unet_model.py", line 32, in forward
x5 = self.down4(x4)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"C:\Users\piyalong\Pytorch-UNet\unet\unet_parts.py", line 39, in forward
return self.maxpool_conv(x)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\container.py", line 117, in forward
input = module(input)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"C:\Users\piyalong\Pytorch-UNet\unet\unet_parts.py", line 25, in forward
return self.double_conv(x)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\container.py", line 117, in forward
input = module(input)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\modules\batchnorm.py", line 136, in forward
self.weight, self.bias, bn_training, exponential_average_factor, self.eps)
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\functional.py", line 2012, in batch_norm
_verify_batch_size(input.size())
"C:\Users\piyalong\.conda\envs\TAMIDS2\lib\site-packages\torch\nn\functional.py", line 1995, in _verify_batch_size
raise ValueError('Expected more than 1 value per channel when training, got input size {}'.format(size))
ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 512, 1, 1])
|
Traceback (most recent call last):
"/tmp/Bazel.runfiles_rBHpvo/runfiles/com_google_deepvariant/deepvariant/make_examples.py", line 1235, in <module>
tf.app.run()
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
"/tmp/Bazel.runfiles_rBHpvo/runfiles/com_google_deepvariant/deepvariant/make_examples.py", line 1186, in main
options = default_options(add_flags=True, flags_obj=FLAGS)
"/tmp/Bazel.runfiles_rBHpvo/runfiles/com_google_deepvariant/deepvariant/make_examples.py", line 315, in default_options
with sam.SamReader(flags_obj.reads) as sam_reader:
"/tmp/Bazel.runfiles_rBHpvo/runfiles/com_google_deepvariant/third_party/nucleus/io/genomics_reader.py", line 216, in __init__
self._reader = self._native_reader(input_path, **kwargs)
"/tmp/Bazel.runfiles_rBHpvo/runfiles/com_google_deepvariant/third_party/nucleus/io/sam.py", line 255, in _native_reader
return NativeSamReader(input_path, **kwargs)
"/tmp/Bazel.runfiles_rBHpvo/runfiles/com_google_deepvariant/third_party/nucleus/io/sam.py", line 232, in __init__
use_original_base_quality_scores=use_original_base_quality_scores)
ValueError: Not found: Could not open /home/chenyangwang600/training-case-study/input/data/BGISEQ_PE100_NA12878.sorted.bam
| 0.554083
|
Traceback (most recent call last):
"/usr/local/lib/python3.6/site-packages/flask/app.py", line 1982, in wsgi_app
response = self.full_dispatch_request()
"/usr/local/lib/python3.6/site-packages/flask/app.py", line 1615, in full_dispatch_request
return self.finalize_request(rv)
"/usr/local/lib/python3.6/site-packages/flask/app.py", line 1632, in finalize_request
response = self.process_response(response)
"/usr/local/lib/python3.6/site-packages/flask/app.py", line 1858, in process_response
self.save_session(ctx.session, response)
"/usr/local/lib/python3.6/site-packages/flask/app.py", line 924, in save_session
return self.session_interface.save_session(self, session, response)
"/usr/local/lib/python3.6/site-packages/flask/sessions.py", line 363, in save_session
val = self.get_signing_serializer(app).dumps(dict(session))
"/usr/local/lib/python3.6/site-packages/itsdangerous.py", line 565, in dumps
payload = want_bytes(self.dump_payload(obj))
"/usr/local/lib/python3.6/site-packages/itsdangerous.py", line 847, in dump_payload
json = super(URLSafeSerializerMixin, self).dump_payload(obj)
"/usr/local/lib/python3.6/site-packages/itsdangerous.py", line 550, in dump_payload
return want_bytes(self.serializer.dumps(obj))
"/usr/local/lib/python3.6/site-packages/flask/sessions.py", line 85, in dumps
return json.dumps(_tag(value), separators=(',', ':'))
"/usr/local/lib/python3.6/site-packages/flask/json.py", line 123, in dumps
rv = _json.dumps(obj, **kwargs)
"/usr/local/lib/python3.6/site-packages/simplejson/__init__.py", line 399, in dumps
**kw).encode(obj)
"/usr/local/lib/python3.6/site-packages/simplejson/encoder.py", line 296, in encode
chunks = self.iterencode(o, _one_shot=True)
"/usr/local/lib/python3.6/site-packages/simplejson/encoder.py", line 378, in iterencode
return _iterencode(o, 0)
"/usr/local/lib/python3.6/site-packages/flask/json.py", line 80, in default
return _json.JSONEncoder.default(self, o)
"/usr/local/lib/python3.6/site-packages/simplejson/encoder.py", line 273, in default
o.__class__.__name__)
TypeError: Object of type PermissionError is not JSON serializable
|
Traceback (most recent call last):
"/usr/local/lib/python3.5/dist-packages/vidgear/gears/pigear.py", line 147, in __init__
if not(self.frame is None and self.color_space is None): self.frame = cv2.cvtColor(self.frame, self.color_space)
TypeError: an integer is required (got type NoneType)
| 0.558204
|
ERROR (theano.gof.opt): Traceback (most recent call last):
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\opt.py", line 2034, in process_node
replacements = lopt.transform(node)
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\tensor\opt.py", line 6516, in constant_folding
no_recycling=[], impl=impl)
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\op.py", line 955, in make_thunk
no_recycling)
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\op.py", line 858, in make_c_thunk
output_storage=node_output_storage)
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\cc.py", line 1217, in make_thunk
keep_lock=keep_lock)
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\cc.py", line 1157, in __compile__
keep_lock=keep_lock)
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\cc.py", line 1609, in cthunk_factory
key = self.cmodule_key()
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\cc.py", line 1300, in cmodule_key
c_compiler=self.c_compiler(),
"C:\Users\kawther\Anaconda3\envs\myTheanoEnv\lib\site-packages\theano\gof\cc.py", line 1379, in cmodule_key_
np.core.multiarray._get_ndarray_c_version())
AttributeError: 'module' object has no attribute '_get_ndarray_c_version'
|
Traceback (most recent call last):
"/usr/local/lib/python3.6/dist-packages/pip/_internal/utils/outdated.py", line 142, in pip_version_check
candidate = finder.find_candidates("pip").get_best()
"/usr/local/lib/python3.6/dist-packages/pip/_internal/index.py", line 790, in get_best
return self._evaluator.get_best_candidate(candidates)
"/usr/local/lib/python3.6/dist-packages/pip/_internal/index.py", line 729, in get_best_candidate
best_candidate = max(candidates, key=self._sort_key)
"/usr/local/lib/python3.6/dist-packages/pip/_internal/index.py", line 710, in _sort_key
has_allowed_hash = int(link.is_hash_allowed(self._hashes))
"/usr/local/lib/python3.6/dist-packages/pip/_internal/models/link.py", line 213, in is_hash_allowed
return hashes.is_hash_allowed(self.hash_name, hex_digest=self.hash)
AttributeError: 'NoneType' object has no attribute 'is_hash_allowed'
| 0.606412
|
Traceback (most recent call last):
"<string>", line 1, in <module>
"/usr/local/lib/python3.5/dist-packages/dateutil/parser/_parser.py", line 1356, in parse
return DEFAULTPARSER.parse(timestr, **kwargs)
"/usr/local/lib/python3.5/dist-packages/dateutil/parser/_parser.py", line 648, in parse
raise ValueError("Unknown string format:", timestr)
ValueError: ('Unknown string format:', '2018-12-10 17:55:02 (GMT+0:00)')
|
Traceback (most recent call last):
"run_tf_ner.py", line 299, in <module>
main()
"run_tf_ner.py", line 231, in main
trainer.train()
"/.conda/envs/xftf2/lib/python3.6/site-packages/transformers/trainer_tf.py", line 457, in train
train_ds = self.get_train_tfdataset()
"/.conda/envs/xftf2/lib/python3.6/site-packages/transformers/trainer_tf.py", line 141, in get_train_tfdataset
raise ValueError("The training dataset must have an asserted cardinality")
ValueError: The training dataset must have an asserted cardinality
| 0.489747
|
Traceback (most recent call last):
"/usr/local/bin/twitterscraper", line 11, in <module>
sys.exit(main())
"/usr/local/lib/python2.7/dist-packages/twitterscraper/main.py", line 105, in main
with open(args.output, "w", encoding="utf-8") as output:
TypeError: 'encoding' is an invalid keyword argument for this function
|
Traceback (most recent call last):
"test.py", line 3, in <module>
pd.read_excel('test.xlsx', header=[0, 1], index_col=0, engine='xlrd')
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/excel/_base.py", line 334, in read_excel
**kwds,
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/excel/_base.py", line 888, in parse
**kwds,
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/excel/_base.py", line 512, in parse
**kwds,
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/parsers.py", line 2201, in TextParser
return Text
Reader(*args, **kwds)
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/parsers.py", line 880, in __init__
self._make_engine(self.engine)
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/parsers.py", line 1126, in _make_engine
self._engine = klass(self.f, **self.options)
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/parsers.py", line 2298, in __init__
self.columns, self.index_names, self.col_names
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/parsers.py", line 1508, in _extract_multi_indexer_columns
for r in header
"/home/sasha/miniconda3/lib/python3.7/site-packages/pandas/io/parsers.py", line 1508, in <listcomp>
for r in header
TypeError: object of type 'datetime.datetime' has no len()
| 0.546299
|
Traceback (most recent call last):
"<string>", line 1, in <module>
"/tmp/pip-install-gIkGdk/tika/setup.py", line 37, in <module>
with open(os.path.join(os.path.dirname(__file__), 'README.md'), encoding='utf-8') as f:
TypeError: 'encoding' is an invalid keyword argument for this function
|
Traceback (most recent call last):
"testtestauc.py", line 151, in <module>
main()
"testtestauc.py", line 142, in main
input=batch)
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/paddle/v2/inference.py", line 133, in infer
return inferer.infer(field=field, input=input, feeding=feeding)
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/paddle/v2/inference.py", line 74, in infer
for result in self.iter_infer_field(field=field, **kwargs):
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/paddle/v2/inference.py", line 61, in iter_infer_field
for result in self.iter_infer(**kwargs):
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/paddle/v2/inference.py", line 54, in iter_infer
yield self.__gradient_machine__.forwardTest(feeder(data_batch))
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/py_paddle/dataprovider_converter.py", line 278, in __call__
return self.convert(dat, argument)
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/paddle/v2/data_feeder.py", line 134, in convert
return DataProviderConverter.convert(self, reorder_data(dat), argument)
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/py_paddle/dataprovider_converter.py", line 263, in convert
scanner.pre_scan(each_step)
"/home/disk3/mengziyang/paddle/python27/lib/python2.7/site-packages/py_paddle/dataprovider_converter.py", line 220, in pre_scan
for each in dat:
TypeError: 'int' object is not iterable
| 0.514886
|
Traceback (most recent call last):
"/root/espnet/egs/an4/asr1/../../../src/utils/mergejson.py", line 64, in <module>
out_dic[unicode('shape', 'utf-8')] = (int(dic[unicode('olen', 'utf-8')]), int(dic[unicode('odim', 'utf-8')]))
ValueError: invalid literal for int() with base 10: ''
|
Traceback (most recent call last):
"D:/test/groupby_bug.py", line 16, in <module>
df = dbars.groupby("exchange").apply(_do_calc_)
"C:\Anaconda3\lib\site-packages\pandas\core\groupby\groupby.py", line 701, in apply
return self._python_apply_general(f)
"C:\Anaconda3\lib\site-packages\pandas\core\groupby\groupby.py", line 712, in _python_apply_general
not_indexed_same=mutated or self.mutated)
"C:\Anaconda3\lib\site-packages\pandas\core\groupby\generic.py", line 318, in _wrap_applied_output
not_indexed_same=not_indexed_same)
"C:\Anaconda3\lib\site-packages\pandas\core\groupby\groupby.py", line 918, in _concat_objects
sort=False)
"C:\Anaconda3\lib\site-packages\pandas\core\reshape\concat.py", line 228, in concat
copy=copy, sort=sort)
"C:\Anaconda3\lib\site-packages\pandas\core\reshape\concat.py", line 292, in __init__
obj._consolidate(inplace=True)
"C:\Anaconda3\lib\site-packages\pandas\core\generic.py", line 5156, in _consolidate
self._consolidate_inplace()
"C:\Anaconda3\lib\site-packages\pandas\core\generic.py", line 5138, in _consolidate_inplace
self._protect_consolidate(f)
"C:\Anaconda3\lib\site-packages\pandas\core\generic.py", line 5127, in _protect_consolidate
result = f()
"C:\Anaconda3\lib\site-packages\pandas\core\generic.py", line 5136, in f
self._data = self._data.consolidate()
"C:\Anaconda3\lib\site-packages\pandas\core\internals\managers.py", line 922, in consolidate
bm = self.__class__(self.blocks, self.axes)
"C:\Anaconda3\lib\site-packages\pandas\core\internals\managers.py", line 114, in __init__
self._verify_integrity()
"C:\Anaconda3\lib\site-packages\pandas\core\internals\managers.py", line 311, in _verify_integrity
construction_error(tot_items, block.shape[1:], self.axes)
"C:\Anaconda3\lib\site-packages\pandas\core\internals\managers.py", line 1691, in construction_error
passed, implied))
ValueError: Shape of passed values is (432, 27), indices imply (1080, 27)
| 0.522573
|
Traceback (most recent call last):
"detect.py", line 173, in <module>
detect()
"detect.py", line 35, in detect
model = attempt_load(weights, map_location=device)
# load FP32 model
"/home/mypc/Music/ultralytics_Yolov5/yolov5/models/experimental.py", line 137, in attempt_load
model.append(torch.load(w, map_location=map_location)['model'].float().fuse().eval())
# load FP32 model
"/home/mypc/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 426, in load
return _load(f, map_location, pickle_module, **pickle_load_args)
"/home/mypc/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 604, in _load
"{} is a zip archive (did you mean to use torch.jit.load()?)".format(f.name))
RuntimeError: yolov5m.pt is a zip archive (did you mean to use torch.jit.load()?)
|
Traceback (most recent call last):
" \User\Miniconda3\envs\vaex_vs_pd\lib\site-packages\vaex\dataframe.py", line 3523, in table_part
values[name] = df.evaluate(name)
" \User\Miniconda3\envs\vaex_vs_pd\lib\site-packages\vaex\dataframe.py", line 5120, in evaluate
return self._evaluate_implementation(expression, i1=i1, i2=i2, out=out, selection=selection, filtered=filtered, internal=internal, parallel=parallel, chunk_size=chunk_size)
" \User\Miniconda3\envs\vaex_vs_pd\lib\site-packages\vaex\dataframe.py", line 5237, in _evaluate_implementation
df.map_reduce(assign, lambda *_: None, expressions, ignore_filter=False, selection=selection, pre_filter=use_filter, info=True, to_numpy=False)
" \User\Miniconda3\envs\vaex_vs_pd\lib\site-packages\vaex\dataframe.py", line 306, in map_reduce
return self._delay(delay, task)
" \User\Miniconda3\envs\vaex_vs_pd\lib\site-packages\vaex\dataframe.py", line 1428, in _delay
self.execute()
" \User\Miniconda3\envs\vaex_vs_pd\lib\site-packages\vaex\dataframe.py", line 293, in execute
self.executor.execute()
" \User\Miniconda3\envs\vaex_vs_pd\lib\site-packages\vaex\execution.py", line 127, in execute
raise RuntimeError("nested execute call")
RuntimeError: nested execute call
| 0.580225
|
Traceback (most recent call last):
"/Users/yonatanalexander/.virtualenvs/goldilocks/lib/python3.7/site-packages/vaex/scopes.py", line 102, in evaluate
result = self[expression]
"/Users/yonatanalexander/.virtualenvs/goldilocks/lib/python3.7/site-packages/vaex/scopes.py", line 159, in __getitem__
raise KeyError("Unknown variables or column: %r" % (variable,))
KeyError: "Unknown variables or column: 'x'"
|
Traceback (most recent call last):
"/tmp/Bazel.runfiles_B0iKHl/runfiles/com_google_deepvariant/deepvariant/make_examples.py", line 42, in <module>
import tensorflow as tf
"/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 28, in <module>
from tensorflow.python import pywrap_tensorflow
# pylint: disable=unused-import
"/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 52, in <module>
from tensorflow.core.framework.graph_pb2 import *
"/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/graph_pb2.py", line 17, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
"/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/function_pb2.py", line 18, in <module>
from tensorflow.core.framework import op_def_pb2 as tensorflow_dot_core_dot_framework_dot_op__def__pb2
"/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/op_def_pb2.py", line 210, in <module>
serialized_options=None, file=DESCRIPTOR),
"/tmp/Bazel.runfiles_B0iKHl/runfiles/protobuf_archive/python/google/protobuf/descriptor.py", line 534, in __new__
return _message.default_pool.FindFieldByName(full_name)
KeyError: "Couldn't find field tensorflow.OpDef.control_output"
| 0.597432
|
Traceback (most recent call last):
"/tmp/pip-build-env-tprf3sb3/overlay/lib/python3.7/site-packages/setuptools/config.py", line 387, in _parse_attr
return getattr(StaticModule(module_name), attr_name)
"/tmp/pip-build-env-tprf3sb3/overlay/lib/python3.7/site-packages/setuptools/config.py", line 43, in __getattr__
) from e
AttributeError: [mypackage] has no attribute VERSION
|
Traceback (most recent call last):
"/n/app/bcbio/tools/bin/bcbio_nextgen.py", line 245, in <module>
main(**kwargs)
"/n/app/bcbio/tools/bin/bcbio_nextgen.py", line 46, in main
run_main(**kwargs)
"/n/app/bcbio/dev/anaconda/lib/python3.6/site-packages/bcbio/pipeline/main.py", line 50, in run_main
fc_dir, run_info_yaml)
"/n/app/bcbio/dev/anaconda/lib/python3.6/site-packages/bcbio/pipeline/main.py", line 86, in _run_toplevel
pipelines, config = _pair_samples_with_pipelines(run_info_yaml, config)
"/n/app/bcbio/dev/anaconda/lib/python3.6/site-packages/bcbio/pipeline/main.py", line 485, in _pair_samples_with_pipelines
samples = config_utils.load_config(run_info_yaml)
"/n/app/bcbio/dev/anaconda/lib/python3.6/site-packages/bcbio/pipeline/config_utils.py", line 138, in load_config
config = _expand_paths(config)
"/n/app/bcbio/dev/anaconda/lib/python3.6/site-packages/bcbio/pipeline/config_utils.py", line 150, in _expand_paths
for field, setting in config.items():
AttributeError: 'str' object has no attribute 'items'
| 0.616528
|
Traceback (most recent call last):
"run.py", line 7, in <module>
bpe_codes='examples/translation/de-en/sentencepiece.bpe.model'
"/home/ubuntu/fairseq/fairseq/models/fairseq_model.py", line 221, in from_pretrained
return hub_utils.GeneratorHubInterface(x["args"], x["task"], x["models"])
"/home/ubuntu/fairseq/fairseq/hub_utils.py", line 112, in __init__
self.bpe = encoders.build_bpe(args)
"/home/ubuntu/fairseq/fairseq/registry.py", line 41, in build_x
return builder(args, *extra_args, **extra_kwargs)
"/home/ubuntu/fairseq/fairseq/data/encoders/sentencepiece_bpe.py", line 21, in __init__
vocab = file_utils.cached_path(args.sentencepiece_vocab)
AttributeError: 'Namespace' object has no attribute 'sentencepiece_vocab'
|
Traceback (most recent call last):
"/home/temrix/pypy/lib-python/3/logging/__init__.py", line 986, in emit
msg = self.format(record)
"/home/temrix/pypy/lib-python/3/logging/__init__.py", line 836, in format
return fmt.format(record)
"/home/temrix/pypy/lib-python/3/logging/__init__.py", line 573, in format
record.message = record.getMessage()
"/home/temrix/pypy/lib-python/3/logging/__init__.py", line 334, in getMessage
msg = str(self.msg)
"/home/temrix/pypy/site-packages/beets/logging.py", line 86, in __str__
return self.msg.format(*args, **kwargs)
AttributeError: 'dict' object has no attribute 'format'
| 0.638334
|
Traceback (most recent call last):
"<string>", line 1, in <module>
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\sklearn\__init__.py", line 80, in <module>
from .base import clone
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\sklearn\base.py", line 21, in <module>
from .utils import _IS_32BIT
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\sklearn\utils\__init__.py", line 23, in <module>
from .class_weight import compute_class_weight, compute_sample_weight
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\sklearn\utils\class_weight.py", line 7, in <module>
from .validation import _deprecate_positional_args
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\sklearn\utils\validation.py", line 21, in <module>
import joblib
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\__init__.py", line 119, in <module>
from .parallel import Parallel
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\parallel.py", line 28, in <module>
from ._parallel_backends import (FallbackToBackend, MultiprocessingBackend,
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\_parallel_backends.py", line 22, in <module>
from .executor import get_memmapping_executor
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\executor.py", line 14, in <module>
from .externals.loky.reusable_executor import get_reusable_executor
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\externals\loky\__init__.py", line 12, in <module>
from .backend.reduction import set_loky_pickler
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\externals\loky\backend\reduction.py", line 125, in <module>
from joblib.externals import cloudpickle
# noqa: F401
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\externals\cloudpickle\__init__.py", line 3, in <module>
from .cloudpickle import *
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\externals\cloudpickle\cloudpickle.py", line 152, in <module>
_cell_set_template_code = _make_cell_set_template_code()
"C:\Users\fuomag9\AppData\Local\Programs\Python\Python38\lib\site-packages\joblib\externals\cloudpickle\cloudpickle.py", line 133, in _make_cell_set_template_code
return types.CodeType(
TypeError: an integer is required (got type bytes)
|
Traceback (most recent call last):
"/usr/lib/python2.7/site-packages/salt/utils/process.py", line 747, in _run
return self._original_run()
"/usr/lib/python2.7/site-packages/salt/utils/master.py", line 569, in run
cupd_in.setsockopt(zmq.SUBSCRIBE, '')
"socket.pyx", line 374, in zmq.backend.cython.socket.Socket.set (zmq/backend/cython/socket.c:3959)
TypeError: unicode not allowed, use setsockopt_string
| 0.618473
|
Traceback (most recent call last):
"/usr/local/lib/python3.5/dist-packages/thingsboard_gateway/connectors/modbus/modbus_connector.py", line 249, in server_side_rpc_handler
response = self.__function_to_device(rpc_command_config, rpc_command_config["unitId"])
"/usr/local/lib/python3.5/dist-packages/thingsboard_gateway/connectors/modbus/modbus_connector.py", line 233, in __function_to_device
log.debug("To modbus device %s, \n%s", config["deviceName"], config)
KeyError: 'deviceName'
|
Traceback (most recent call last):
"...\lib\site-packages\pandas\core\indexing.py", line 1506, in _has_valid_type
error()
"...\lib\site-packages\pandas\core\indexing.py", line 1501, in error
axis=self.obj._get_axis_name(axis)))
KeyError: 'the label [0] is not in the [index]'
| 0.523946
|
Traceback (most recent call last):
"/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
self.run()
"/content/iPERCore/iPERCore/services/preprocess.py", line 80, in run
except Exception("model error!") as e:
TypeError: catching classes that do not inherit from BaseException is not allowed
|
Traceback (most recent call last):
"condadata.py", line 52, in <module>
model.fit(train, verbose=True)
"/var/www/miniconda2/envs/conda1/lib/python2.7/site-packages/spotlight/factorization/explicit.py", line 172, in fit
loss = loss_fnc(ratings_var, predictions)
"/var/www/miniconda2/envs/conda1/lib/python2.7/site-packages/spotlight/losses.py", line 191, in regression_loss
return ((observed_ratings - predicted_ratings) ** 2).mean()
"/var/www/miniconda2/envs/conda1/lib/python2.7/site-packages/torch/autograd/variable.py", line 752, in __sub__
return self.sub(other)
"/var/www/miniconda2/envs/conda1/lib/python2.7/site-packages/torch/autograd/variable.py", line 296, in sub
return self._sub(other, False)
"/var/www/miniconda2/envs/conda1/lib/python2.7/site-packages/torch/autograd/variable.py", line 290, in _sub
return Sub(inplace=inplace)(self, other)
"/var/www/miniconda2/envs/conda1/lib/python2.7/site-packages/torch/autograd/_functions/basic_ops.py", line 34, in forward
return a.sub(b)
TypeError: sub received an invalid combination of arguments - got (torch.FloatTensor), but expected one of:
| 0.611064
|
Traceback (most recent call last):
"gui\esiFittings.py", line 289, in exportFitting
"service\port\port.py", line 318, in exportESI
"service\port\esi.py", line 75, in exportESI
TypeError: object of type 'NoneType' has no len()
|
Traceback (most recent call last):
"/usr/bin/mpsyt", line 11, in <module>
sys.exit(main.main())
"/usr/lib/python3.6/site-packages/mps_youtube/main.py", line 141, in main
if matchfunction(i.function, i.regex, userinput):
"/usr/lib/python3.6/site-packages/mps_youtube/main.py", line 64, in matchfunction
func(*matches)
"/usr/lib/python3.6/site-packages/mps_youtube/commands/search.py", line 212, in search
_search(term, query, msg, failmsg)
"/usr/lib/python3.6/site-packages/mps_youtube/commands/search.py", line 41, in _search
loadmsg=loadmsg)
"/usr/lib/python3.6/site-packages/mps_youtube/commands/songlist.py", line 56, in paginatesongs
songs = func[s:e]
"/usr/lib/python3.6/site-packages/mps_youtube/util.py", line 47, in __getitem__
self.ilist.append(next(self.iterable))
"/usr/lib/python3.6/site-packages/mps_youtube/commands/search.py", line 28, in iter_songs
for song in get_tracks_from_json(wdata2):
"/usr/lib/python3.6/site-packages/mps_youtube/commands/search.py", line 342, in get_tracks_from_json
'id': ','.join([get_track_id_from_json(i) for i in items])}
TypeError: sequence item 0: expected str instance, dict found
| 0.578757
|
Traceback (most recent call last):
"C:\Users\Admin\Anaconda3\Scripts\mmf_predict-script.py", line 33, in <module>
sys.exit(load_entry_point('mmf', 'console_scripts', 'mmf_predict')())
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf_cli\predict.py", line 15, in predict
run(predict=True)
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf_cli\run.py", line 133, in run
main(configuration, predict=predict)
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf_cli\run.py", line 54, in main
trainer.inference()
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf\trainers\mmf_trainer.py", line 154, in inference
self.prediction_loop(dataset)
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf\trainers\core\evaluation_loop.py", line 89, in prediction_loop
while reporter.next_dataset():
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf\common\test_reporter.py", line 96, in next_dataset
self.flush_report()
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf\common\test_reporter.py", line 136, in flush_report
self.csv_dump(filepath)
"g:\trainings\cs7643_deeplearning\projects\memes\mmf\mmf\common\test_reporter.py", line 150, in csv_dump
with PathManager.open(filepath, "w") as f:
"c:\users\admin\anaconda3\lib\site-packages\iopath\common\file_io.py", line 922, in open
path, mode, buffering=buffering, **kwargs
"c:\users\admin\anaconda3\lib\site-packages\iopath\common\file_io.py", line 589, in _open
opener=opener,
OSError: [Errno 22] Invalid argument: 'save\\hateful_memes_concat_vl_44152372\\reports\\hateful_memes_run_test_2021-04-13T18:48:55.csv'
|
Traceback (most recent call last):
"/opt/az/lib/python3.6/site-packages/knack/cli.py", line 206, in invoke
cmd_result = self.invocation.execute(args)
"/opt/az/lib/python3.6/site-packages/azure/cli/core/commands/__init__.py", line 486, in execute
load_cmd_tbl_func=self.commands_loader.load_command_table, args=args)
"/opt/az/lib/python3.6/site-packages/knack/cli.py", line 162, in raise_event
func(self, **kwargs)
"/opt/az/lib/python3.6/site-packages/azure/cli/core/azlogging.py", line 80, in init_command_file_logging
self._init_command_logfile_handlers(cmd_logger, args)
# pylint: disable=protected-access
"/opt/az/lib/python3.6/site-packages/azure/cli/core/azlogging.py", line 101, in _init_command_logfile_handlers
logfile_handler = logging.
Handler(log_file_path)
"/opt/az/lib/python3.6/logging/__init__.py", line 1030, in __init__
StreamHandler.__init__(self, self._open())
"/opt/az/lib/python3.6/logging/__init__.py", line 1059, in _open
return open(self.base
name, self.mode, encoding=self.encoding)
OSError: [Errno 30] Read-only file system: '/home/alex/.azure/commands/2020-04-17.19-30-28.account_list-location.202.log'
| 0.604872
|
Traceback (most recent call last):
".../attr_test.py", line 8, in <module>
print(f"Bob after {json.dumps(bob.custom_attributes, indent=4)}")
".../lib/python3.9/site-packages/gitlab/base.py", line 84, in __getattr__
raise AttributeError(name)
AttributeError: custom_attributes
|
Traceback (most recent call last):
"setup.py", line 239, in <module>
setup()
"/usr/lib/python2.7/distutils/core.py", line 151, in setup
dist.run_commands()
"/usr/lib/python2.7/distutils/dist.py", line 953, in run_commands
self.run_command(cmd)
"/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
"/usr/lib/python2.7/dist-packages/setuptools/command/test.py", line 142, in run
self.with_project_on_sys_path(self.run_tests)
"/usr/lib/python2.7/dist-packages/setuptools/command/test.py", line 122, in with_project_on_sys_path
func()
"/usr/lib/python2.7/dist-packages/setuptools/command/test.py", line 163, in run_tests
testRunner=self._resolve_as_ep(self.test_runner),
"/usr/lib/python2.7/unittest/main.py", line 94, in __init__
self.parseArgs(argv)
"/usr/lib/python2.7/unittest/main.py", line 149, in parseArgs
self.createTests()
"/usr/lib/python2.7/unittest/main.py", line 158, in createTests
self.module)
"/usr/lib/python2.7/unittest/loader.py", line 130, in loadTestsFromNames
suites = [self.loadTestsFromName(name, module) for name in names]
"/usr/lib/python2.7/unittest/loader.py", line 103, in loadTestsFromName
return self.loadTestsFromModule(obj)
"/usr/lib/python2.7/dist-packages/setuptools/command/test.py", line 37, in loadTestsFromModule
tests.append(self.loadTestsFromName(submodule))
"/usr/lib/python2.7/unittest/loader.py", line 100, in loadTestsFromName
parent, obj = obj, getattr(obj, part)
AttributeError: 'module' object has no attribute 'test_motion'
| 0.627732
|
Traceback (most recent call last):
"/home/........../basics/visuals/line_draw.py", line 178, in <module>
win = Canvas()
"/home/........../basics/visuals/line_draw.py", line 154, in __init__
self.pos = np.zeros((n, 3), dtype=np.float32)
"/home/........../lib/python3.6/site-packages/vispy/util/frozen.py", line 16, in __setattr__
'attributes' % (key, self))
AttributeError: 'pos' is not an attribute of class <Canvas (PyQt5) at 0x7f4334088f98>. Call "unfreeze()" to allow addition of new attributes
|
Traceback (most recent call last):
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/flask/app.py", line 1949, in full_dispatch_request
rv = self.dispatch_request()
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/flask/app.py", line 1935, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/flask/views.py", line 89, in view
return self.dispatch_request(*args, **kwargs)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/flask/views.py", line 163, in dispatch_request
return meth(*args, **kwargs)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/ckan-2.10.0a0-py3.7.egg/ckan/config/middleware/../../views/resource.py", line 367, in post
get_action(u'resource_update')(context, data)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/ckan-2.10.0a0-py3.7.egg/ckan/logic/__init__.py", line 473, in wrapped
result = _action(context, data_dict, **kw)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/ckan-2.10.0a0-py3.7.egg/ckan/logic/action/update.py", line 104, in resource_update
updated_pkg_dict = _get_action('package_update')(context, pkg_dict)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/ckan-2.10.0a0-py3.7.egg/ckan/logic/__init__.py", line 473, in wrapped
result = _action(context, data_dict, **kw)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/ckan-2.10.0a0-py3.7.egg/ckan/logic/action/update.py", line 344, in package_update
model.repo.commit()
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/sqlalchemy/orm/scoping.py", line 163, in do
return getattr(self.registry(), name)(*args, **kwargs)
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/sqlalchemy/orm/session.py", line 1042, in commit
self.transaction.commit()
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/sqlalchemy/orm/session.py", line 504, in commit
self._prepare_impl()
"/home/vitor/Projetos/okfn/ckan/env/lib/python3.7/site-packages/sqlalchemy/orm/session.py", line 474, in _prepare_impl
stx = self.session.transaction
AttributeError: 'NoneType' object has no attribute 'transaction'
| 0.624669
|
Traceback (most recent call last):
"c:\program files\python38\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 3021, in _dep_map
return self.__dep_map
"c:\program files\python38\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 2815, in __getattr__
raise AttributeError(attr)
AttributeError: _DistInfoDistribution__dep_map
|
Traceback (most recent call last):
"D:\tools\XX-Net-3.7.9\code\default\python27\1.0\lib\threading.py", line 801, in __bootstrap_inner
self.run()
"D:\tools\XX-Net-3.7.9\code\default\python27\1.0\lib\threading.py", line 754, in run
self.__target(*self.__args, **self.__kwargs)
"D:\tools\XX-Net-3.7.9\code\default\gae_proxy\local\google_ip.py", line 652, in scan_ip_worker
xlog.exception("google_ip.runJob fail:%r", e)
AttributeError: 'NoneType' object has no attribute 'exception'
| 0.580483
|
Traceback (most recent call last):
"/Users/gabrielfeng/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2850, in run_ast_nodes
if self.run_code(code, result):
"/Users/gabrielfeng/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2927, in run_code
self.showtraceback(running_compiled_code=True)
TypeError: showtraceback() got an unexpected keyword argument 'running_compiled_code'
|
Traceback (most recent call last):
"<stdin>", line 1, in <module>
"/usr/local/lib/python2.7/site-packages/ipfsapi/utils.py", line 151, in wrapper
return res[self.field]
TypeError: list indices must be integers, not str
| 0.539283
|
Traceback (most recent call last):
"C:\Python38-32\Lib\asyncio\proactor_events.py", line 116, in __del__
self.close()
"C:\Python38-32\Lib\asyncio\proactor_events.py", line 108, in close
self._loop.call_soon(self._call_connection_lost, None)
"C:\Python38-32\Lib\asyncio\base_events.py", line 711, in call_soon
self._check_closed()
"C:\Python38-32\Lib\asyncio\base_events.py", line 504, in _check_closed
raise RuntimeError('Event loop is closed')
RuntimeError: Event loop is closed
|
WARNING: Traceback (most recent call last):
"viz_gui.py", line 152, in <module>
vispy.app.run()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\app\_default_app.py", line 62, in run
return default_app.run()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\app\application.py", line 152, in run
return self._backend._vispy_run()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\app\backends\_qt.py", line 279, in _vispy_run
return app.exec_()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\app\backends\_qt.py", line 855, in _vispy_timeout
self._vispy_timer._timeout()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\app\timer.py", line 163, in _timeout
self.events.timeout(
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\util\event.py", line 455, in __call__
self._invoke_callback(cb, event)
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\util\event.py", line 473, in _invoke_callback
_handle_exception(self.ignore_callback_errors,
<< caught exception here: >>
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\util\event.py", line 471, in _invoke_callback
cb(event)
"viz_gui.py", line 132, in update
canvas.colorbar.draw()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\scene\visuals.py", line 99, in draw
self._visual_superclass.draw(self)
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\visuals\visual.py", line 595, in draw
v.draw()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\visuals\visual.py", line 442, in draw
self._program.draw(self._vshare.draw_mode,
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\visuals\shaders\program.py", line 101, in draw
Program.draw(self, *args, **kwargs)
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\program.py", line 533, in draw
canvas.context.flush_commands()
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\context.py", line 176, in flush_commands
self.glir.flush(self.shared.parser)
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\glir.py", line 572, in flush
self._shared.flush(parser)
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\glir.py", line 494, in flush
parser.parse(self._filter(self.clear(), parser))
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\glir.py", line 819, in parse
self._parse(command)
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\glir.py", line 787, in _parse
ob.set_data(*args)
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\glir.py", line 1380, in set_data
gl.check_error('periodic check')
"C:\Users\koester_lab\anaconda3\lib\site-packages\vispy\gloo\gl\__init__.py", line 207, in check_error
raise err
RuntimeError: OpenGL got errors (periodic check): GL_INVALID_OPERATION
| 0.586834
|
Traceback (most recent call last):
"/home/rtd/venv/lib/python2.7/site-packages/celery/app/trace.py", line 375, in trace_task
R = retval = fun(*args, **kwargs)
"/home/rtd/readthedocs.org/readthedocs/projects/tasks.py", line 227, in run
return step.run(*args, **kwargs)
"/home/rtd/readthedocs.org/readthedocs/projects/tasks.py", line 332, in run
build_id=build_pk,
AttributeError: 'UpdateDocsTaskStep' object has no attribute 'setup_env'
|
2018-11-24 16:00:57 DEBUG
SEARCHQUEUE-FORCED-350166 :: [AnimeBytes] :: [54da0c7] Traceback (most recent call last):
"/app/medusa/medusa/search/queue.py", line 365, in run
self.manual_search, self.manual_search_type)
"/app/medusa/medusa/search/core.py", line 759, in search_providers
single_results)
"/app/medusa/medusa/search/core.py", line 782, in collect_single_candidates
wanted_results = filter_results(candidates[episode])
"/app/medusa/medusa/search/core.py", line 263, in filter_results
if not series_obj.release_groups.is_valid(cur_result):
AttributeError: 'NoneType' object has no attribute 'is_valid'
| 0.6315
|
Traceback (most recent call last):
"/home/ubuntu/anaconda3/lib/python3.7/site-packages/ray/monitor.py", line 380, in <module>
redis_client, ray_constants.MONITOR_DIED_ERROR, message)
"/home/ubuntu/anaconda3/lib/python3.7/site-packages/ray/utils.py", line 121, in push_error_to_driver_through_redis
pubsub_msg.id = job_id.hex()
TypeError: 'ffff' has type str, but expected one of: bytes
|
Traceback (most recent call last):
"/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
"/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
"/home/ubuntu/.local/lib/python3.8/site-packages/spacy/__main__.py", line 4, in <module>
setup_cli()
"/home/ubuntu/.local/lib/python3.8/site-packages/spacy/cli/_util.py", line 67, in setup_cli
command = get_command(app)
"/home/ubuntu/.local/lib/python3.8/site-packages/typer/main.py", line 232, in get_command
click_command = get_group(typer_instance)
"/home/ubuntu/.local/lib/python3.8/site-packages/typer/main.py", line 218, in get_group
group = get_group_from_info(TyperInfo(typer_instance))
"/home/ubuntu/.local/lib/python3.8/site-packages/typer/main.py", line 349, in get_group_from_info
command = get_command_from_info(command_info=command_info)
"/home/ubuntu/.local/lib/python3.8/site-packages/typer/main.py", line 425, in get_command_from_info
command = cls(
# type: ignore
TypeError: __init__() got an unexpected keyword argument 'no_args_is_help'
| 0.521891
|
Traceback (most recent call last):
"yowsup-cli", line 4, in <module>
__import__('pkg_resources').run_script('yowsup2==2.5.2', 'yowsup-cli')
"C:\Users\Cc\Anaconda3\lib\site-packages\pkg_resources\__init__.py", line 748, in run_script
self.require(requires)[0].run_script(script_name, ns)
"C:\Users\Cc\Anaconda3\lib\site-packages\pkg_resources\__init__.py", line 1517, in run_script
exec(code, namespace, namespace)
"c:\users\cc\anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\EGG-INFO\scripts\yowsup-cli", line 368, in <module>
if not parser.process():
"c:\users\cc\anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\EGG-INFO\scripts\yowsup-cli", line 270, in process
self.startEcho()
"c:\users\cc\anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\EGG-INFO\scripts\yowsup-cli", line 308, in startEcho
stack.start()
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\demos\echoclient\stack.py", line 21, in start
self.stack.loop()
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\stacks\yowstack.py", line 196, in loop
asyncore.loop(*args, **kwargs)
"C:\Users\Cc\Anaconda3\lib\asyncore.py", line 203, in loop
poll_fun(timeout, map)
"C:\Users\Cc\Anaconda3\lib\asyncore.py", line 150, in poll
read(obj)
"C:\Users\Cc\Anaconda3\lib\asyncore.py", line 87, in read
obj.handle_error()
"C:\Users\Cc\Anaconda3\lib\asyncore.py", line 83, in read
obj.handle_read_event()
"C:\Users\Cc\Anaconda3\lib\asyncore.py", line 423, in handle_read_event
self.handle_read()
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\network\layer.py", line 102, in handle_read
self.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\network\layer.py", line 110, in receive
self.toUpper(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\stanzaregulator\layer.py", line 29, in receive
self.processReceived()
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\stanzaregulator\layer.py", line 49, in processReceived
self.toUpper(oneMessageData)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\auth\layer_crypt.py", line 65, in receive
self.toUpper(payload)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\coder\layer.py", line 35, in receive
self.toUpper(node)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\logger\layer.py", line 14, in receive
self.toUpper(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_control.py", line 44, in receive
self.toUpper(protocolTreeNode)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 194, in receive
s.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_receive.py", line 41, in receive
self.onMessage(protocolTreeNode)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_receive.py", line 74, in onMessage
self.handleEncMessage(protocolTreeNode)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_receive.py", line 88, in handleEncMessage
self.handleWhisperMessage(node)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_receive.py", line 144, in handleWhisperMessage
self.parseAndHandleMessageProto(encMessageProtocolEntity, plaintext[:-padding])
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_receive.py", line 200, in parseAndHandleMessageProto
self.handleImageMessage(node, m.image_message)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_receive.py", line 237, in handleImageMessage
self.toUpper(messageNode)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 194, in receive
s.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 130, in receive
recv(node)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\protocol_media\layer.py", line 42, in recvMessageStanza
self.toUpper(entity)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 79, in toUpper
self.__upper.receive(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\interface\interface.py", line 80, in receive
self.entity_callbacks[entityType](entity)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\demos\echoclient\layer.py", line 13, in onMessage
self.toLower(messageProtocolEntity.forward(messageProtocolEntity.getFrom()))
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 84, in toLower
self.__lower.send(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 198, in send
s.send(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 136, in send
send(entity)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\protocol_media\layer.py", line 35, in sendMessageEntity
self.entityToLower(entity)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 140, in entityToLower
self.toLower(entity.toProtocolTreeNode())
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 84, in toLower
self.__lower.send(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 198, in send
s.send(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_send.py", line 61, in send
self.toLower(node)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 84, in toLower
self.__lower.send(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\axolotl\layer_control.py", line 34, in send
self.toLower(node)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\__init__.py", line 84, in toLower
self.__lower.send(data)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\layers\logger\layer.py", line 8, in send
logger.debug("tx:\n%s" % ldata)
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\structs\protocoltreenode.py", line 88, in __str__
return self.toString()
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\structs\protocoltreenode.py", line 80, in toString
out += c.toString()
"C:\Users\Cc\Anaconda3\lib\site-packages\yowsup2-2.5.2-py3.6.egg\yowsup\structs\protocoltreenode.py", line 55, in toString
out+= " "+key+'="'+val+'"'
TypeError: must be str, not bytes
|
Traceback (most recent call last):
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/desk/form/save.py", line 22, in savedocs
doc.save()
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 231, in save
return self._save(*args, **kwargs)
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 254, in _save
self.insert()
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 193, in insert
self.run_before_save_methods()
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 772, in run_before_save_methods
self.run_method("validate")
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 667, in run_method
out = Document.hook(fn)(self, *args, **kwargs)
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 892, in composer
return composed(self, method, *args, **kwargs)
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 875, in runner
add_to_return_value(self, fn(self, *args, **kwargs))
"/home/frappe/benches/bench-2017-04-20/apps/frappe/frappe/model/document.py", line 661, in
fn = lambda self, *args, **kwargs: getattr(self, method)(*args, **kwargs)
"/home/frappe/benches/bench-2017-04-20/apps/erpnext/erpnext/schools/doctype/course/course.py", line 12, in validate
self.validate_assessment_criteria()
"/home/frappe/benches/bench-2017-04-20/apps/erpnext/erpnext/schools/doctype/course/course.py", line 18, in validate_assessment_criteria
total_weightage += criteria.weightage
TypeError: unsupported operand type(s) for +=: 'int' and 'NoneType'
| 0.629278
|
Traceback (most recent call last):
"/anaconda3/bin/mmconvert", line 11, in <module>
sys.exit(_main())
"/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/_script/convert.py", line 102, in _main
ret = convertToIR._convert(ir_args)
"/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/_script/convertToIR.py", line 39, in _convert
parser = Keras2Parser(model)
"/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/keras/keras2_parser.py", line 94, in __init__
'relu6': _keras.applications.mobilenet.relu6,
AttributeError: module 'keras.applications.mobilenet' has no attribute 'relu6'
|
Traceback (most recent call last):
"/content/transformers/examples/language-modeling/run_mlm.py", line 442, in <module>
main()
"/content/transformers/examples/language-modeling/run_mlm.py", line 416, in main
trainer.log_metrics("train", metrics)
AttributeError: 'Trainer' object has no attribute 'log_metrics'
| 0.583099
|
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