I have existing python project on AWS Beanstalk I decided to integrate it with codecommit but I get following err when I enter Branch name.
Enter Branch Name
***** Must have at least one commit to create a new branch with CodeCommit *****
(default is "develop"): develop
Traceback (most recent call last):
File "/home/fartash/.local/bin/eb", line 11, in <module>
sys.exit(main())
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/core/ebcore.py", line 150, in main
app.run()
File "/home/fartash/.local/lib/python3.5/site-packages/cement/core/foundation.py", line 797, in run
return_val = self.controller._dispatch()
File "/home/fartash/.local/lib/python3.5/site-packages/cement/core/controller.py", line 472, in _dispatch
return func()
File "/home/fartash/.local/lib/python3.5/site-packages/cement/core/controller.py", line 478, in _dispatch
return func()
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/core/abstractcontroller.py", line 57, in default
self.do_command()
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/controllers/initialize.py", line 172, in do_command
branch = get_branch_interactive(repository)
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/controllers/initialize.py", line 575, in get_branch_interactive
source_control.setup_new_codecommit_branch(branch_name=branch_name)
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/objects/sourcecontrol.py", line 313, in setup_new_codecommit_branch
self.fetch_remote_branches(self.codecommit_remote_name)
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/objects/sourcecontrol.py", line 397, in fetch_remote_branches
stdout, stderr, exitcode = self._run_cmd(['git', 'fetch', self.get_codecommit_presigned_remote_url(),
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/objects/sourcecontrol.py", line 434, in get_codecommit_presigned_remote_url
signed_url = codecommit.create_signed_url(remote_url)
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/lib/codecommit.py", line 138, in create_signed_url
password = _sign_codecommit_url(aws.get_region_name(), remote_url)
File "/home/fartash/.local/lib/python3.5/site-packages/ebcli/lib/codecommit.py", line 130, in _sign_codecommit_url
signature = signer.signature(string_to_sign, request)
File "/home/fartash/anaconda3/lib/python3.5/site-packages/botocore/auth.py", line 305, in signature
k_date = self._sign(('AWS4' + key).encode('utf-8'),
TypeError: Can't convert 'NoneType' object to str implicitly
Related
When I want to train this 'ner_ontonotes_bert_mult' model with my custom dataset it is showing the error below. (I have saved my datset in the ~\.deeppavlov\downloads\ontonotes folder that was mentioned in [deeppavlov documentation][1]. )
PS C:\Users\sghanta\Desktop\NER> & c:/Users/sghanta/Desktop/NER/env/Scripts/Activate.ps1
(env) PS C:\Users\sghanta\Desktop\NER> & c:/Users/sghanta/Desktop/NER/env/Scripts/python.exe c:/Users/sghanta/Desktop/NER/train_model.py
C:\Users\sghanta\Desktop\NER\env\lib\site-packages\numpy\_distributor_init.py:32: UserWarning: loaded more than 1 DLL from .libs:
C:\Users\sghanta\Desktop\NER\env\lib\site-packages\numpy\.libs\libopenblas.PYQHXLVVQ7VESDPUVUADXEVJOBGHJPAY.gfortran-win_amd64.dll
C:\Users\sghanta\Desktop\NER\env\lib\site-packages\numpy\.libs\libopenblas.WCDJNK7YVMPZQ2ME2ZZHJJRJ3JIKNDB7.gfortran-win_amd64.dll
stacklevel=1)
Traceback (most recent call last):
File "c:/Users/sghanta/Desktop/NER/train_model.py", line 12, in <module>
ner_model = train_model(configs.ner.ner_ontonotes_bert_mult)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\__init__.py", line 29, in train_model
train_evaluate_model_from_config(config, download=download, recursive=recursive)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\commands\train.py", line 92, in train_evaluate_model_from_config
data = read_data_by_config(config)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\commands\train.py", line 58, in read_data_by_config
return reader.read(data_path, **reader_config)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\dataset_readers\conll2003_reader.py", line 56, in read
dataset[name] = self.parse_ner_file(file_name)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\dataset_readers\conll2003_reader.py", line 106, in parse_ner_file
raise Exception(f"Input is not valid {line}")
Exception: Input is not valid
O
(env) PS C:\Users\sghanta\Desktop\NER>
After cleaning the dataset the above error has gone but this is the new error.
New Error
2021-08-12 02:43:35.335 ERROR in 'deeppavlov.core.common.params'['params'] at line 112: Exception in <class 'deeppavlov.models.bert.bert_sequence_tagger.BertSequenceTagger'>
Traceback (most recent call last):
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\client\session.py", line 1365, in _do_call
return fn(*args)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\client\session.py", line 1350, in _run_fn
target_list, run_metadata)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\client\session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [13,13] rhs shape= [37,37]
[[{{node save/Assign_76}}]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\training\saver.py", line 1290, in restore
{self.saver_def.filename_tensor_name: save_path})
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\client\session.py", line 956, in run
run_metadata_ptr)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\client\session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\client\session.py", line 1359, in _do_run
run_metadata)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\client\session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [13,13] rhs shape= [37,37]
[[node save/Assign_76 (defined at C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\framework\ops.py:1748) ]]
Original stack trace for 'save/Assign_76':
File "c:/Users/sghanta/Desktop/NER/train_model.py", line 12, in <module>
ner_model = train_model(configs.ner.ner_ontonotes_bert_mult)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\__init__.py", line 29, in train_model
train_evaluate_model_from_config(config, download=download, recursive=recursive)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\commands\train.py", line 121, in train_evaluate_model_from_config
trainer.train(iterator)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\trainers\nn_trainer.py", line 334, in train
self.fit_chainer(iterator)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\trainers\fit_trainer.py", line 104, in fit_chainer
component = from_params(component_config, mode='train')
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\common\params.py", line 106, in from_params
component = obj(**dict(config_params, **kwargs))
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\models\tf_backend.py", line 76, in __call__
obj.__init__(*args, **kwargs)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\models\tf_backend.py", line 28, in _wrapped
return func(*args, **kwargs)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\models\bert\bert_sequence_tagger.py", line 529, in __init__
**kwargs)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\models\bert\bert_sequence_tagger.py", line 259, in __init__
self.load()
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\models\tf_backend.py", line 28, in _wrapped
return func(*args, **kwargs)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\models\bert\bert_sequence_tagger.py", line 457, in load
return super().load(exclude_scopes=exclude_scopes, **kwargs)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\models\tf_model.py", line 251, in load
return super().load(exclude_scopes=exclude_scopes, **kwargs)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\deeppavlov\core\models\tf_model.py", line 54, in load
saver = tf.train.Saver(var_list)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\training\saver.py", line 828, in __init__
self.build()
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\training\saver.py", line 840, in build
self._build(self._filename, build_save=True, build_restore=True)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\training\saver.py", line 878, in _build
build_restore=build_restore)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\training\saver.py", line 508, in _build_internal
restore_sequentially, reshape)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\training\saver.py", line 350, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\training\saving\saveable_object_util.py", line 73, in restore
self.op.get_shape().is_fully_defined())
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\ops\state_ops.py", line 227, in assign
validate_shape=validate_shape)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\ops\gen_state_ops.py", line 66, in assign
use_locking=use_locking, name=name)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\framework\op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "C:\Users\sghanta\Desktop\NER\env\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1748, in __init__
self._traceback = tf_stack.extract_stack()
Can anyone explain how to solve it.
[1]: http://docs.deeppavlov.ai/en/master/features/models/ner.html
conll2003_reader dataset reader failed to parse the following line:
O
conll2003_reader dataset reader expects that line is either empty or contains a token and a label. In your case only label is present.
So, I would suggest to clean your data from empty lines with labels.
Sample text from DeepPavlov docs:
EU B-ORG
rejects O
the O
call O
of O
Germany B-LOC
to O
boycott O
lamb O
from O
Great B-LOC
Britain I-LOC
. O
China B-LOC
When trying to use package control in SL2, I get the following console errors returned. I've tried looking around, and short of reinstalling not sure what step to take.
'''
Exception in thread Thread-6:
Traceback (most recent call last):
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/threading.py", line 801, in __bootstrap_inner
self.run()
File "./package_control/commands/install_package_command.py", line 45, in run
File "./package_control/package_installer.py", line 58, in make_package_list
File "./package_control/package_manager.py", line 694, in list_available_packages
File "./package_control/package_manager.py", line 554, in _list_available
File "./package_control/package_manager.py", line 453, in list_repositories
File "./package_control/providers/channel_provider.py", line 201, in get_repositories
File "./package_control/providers/channel_provider.py", line 87, in fetch
File "./package_control/download_manager.py", line 340, in fetch
File "./package_control/downloaders/urllib_downloader.py", line 117, in download
File "./package_control/downloaders/urllib_downloader.py", line 317, in setup_opener
File "./package_control/ca_certs.py", line 31, in get_ca_bundle_path
File "./package_control/ca_certs.py", line 166, in get_system_ca_bundle_path
File "./package_control/deps/oscrypto/trust_list.py", line 122, in get_path
File "./package_control/deps/oscrypto/_osx/trust_list.py", line 49, in extract_from_system
File "./package_control/deps/oscrypto/_ffi.py", line 121, in new
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/cffi/api.py", line 262, in new
cdecl = self._typeof(cdecl)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/cffi/api.py", line 182, in _typeof
result = self._typeof_locked(cdecl)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/cffi/api.py", line 167, in _typeof_locked
type = self._parser.parse_type(cdecl)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/cffi/cparser.py", line 508, in parse_type
return self.parse_type_and_quals(cdecl)[0]
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/cffi/cparser.py", line 511, in parse_type_and_quals
ast, macros = self._parse('void __dummy(\n%s\n);' % cdecl)[:2]
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/cffi/cparser.py", line 296, in _parse
self.convert_pycparser_error(e, csource)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/cffi/cparser.py", line 325, in convert_pycparser_error
raise CDefError(msg)
CDefError: cannot parse "CFArrayRef *"
<cdef source string>:2:12: before: *
'''
I am learning Deep Learning and want to use python-kereas to implement CNN, but when I run in command, it looks like some errors.
This is my source code. https://github.com/lijhong/CNN-kereas.git
And my fault is like this:
Traceback (most recent call last):
File "/home/ah0818lijhong/CNN-kereas/cnn-kereas.py", line 167, in <module>
model.fit(x_train, y_train,epochs=3)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/models.py", line 845, in fit
initial_epoch=initial_epoch)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 1485, in fit
initial_epoch=initial_epoch)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 1140, in _fit_loop
outs = f(ins_batch)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 2073, in __call__
feed_dict=feed_dict)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 778, in run
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 778, in run
run_metadata_ptr)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 982, in _run
feed_dict_string, options, run_metadata)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1032, in _do_run
target_list, options, run_metadata)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1052, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[0,868] = 115873 is not in [0, 20001)
[[Node: embedding_1/Gather = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](embedding_1/embeddi
ngs/read, _recv_embedding_1_input_0)]]
Caused by op u'embedding_1/Gather', defined at:
File "/home/ah0818lijhong/CNN-kereas/cnn-kereas.py", line 122, in <module>
model_left.add(embedding_layer)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/models.py", line 422, in add
layer(x)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 554, in __call__
output = self.call(inputs, **kwargs)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/layers/embeddings.py", line 119, in call
out = K.gather(self.embeddings, inputs)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 966, in gather
return tf.gather(reference, indices)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1207, in gather
validate_indices=validate_indices, name=name)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/ah0818lijhong/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1228, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): indices[0,868] = 115873 is not in [0, 20001)
[[Node: embedding_1/Gather = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](embedding_1/embeddi
ngs/read, _recv_embedding_1_input_0)]]
I hope someone can help me fix it.
I am trying to read a csv file. using below command:
sample = pd.read_csv("C:/kushal/DataMining/hillary/out.txt" ,header = 0, delimiter = "\t")
Unfortunately it gives me some exception about which I have no idea what is causing it. Does anyone knows anything about this exception
sample["ExtractedBodyText"][1]
Traceback (most recent call last):
File "<pyshell#75>", line 1, in <module>
hillary["ExtractedBodyText"][1]
File "C:\Python34\lib\site-packages\pandas\core\frame.py", line 1914, in __getitem__
return self._getitem_column(key)
File "C:\Python34\lib\site-packages\pandas\core\frame.py", line 1921, in _getitem_column
return self._get_item_cache(key)
File "C:\Python34\lib\site-packages\pandas\core\generic.py", line 1090, in _get_item_cache
values = self._data.get(item)
File "C:\Python34\lib\site-packages\pandas\core\internals.py", line 3102, in get
loc = self.items.get_loc(item)
File "C:\Python34\lib\site-packages\pandas\core\index.py", line 1692, in get_loc
return self._engine.get_loc(_values_from_object(key))
File "pandas\index.pyx", line 137, in pandas.index.IndexEngine.get_loc (pandas\index.c:3979)
File "pandas\index.pyx", line 157, in pandas.index.IndexEngine.get_loc (pandas\index.c:3843)
File "pandas\hashtable.pyx", line 668, in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:12265)
File "pandas\hashtable.pyx", line 676, in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:12216)
KeyError: 'ExtractedBodyText'
I am trying to learn to use mercurial by pushing onto Google code.
I have two .hgrc files: One file is located $PROJECT_DIR/.hg/.hrgc and $HOME/.hgrc. I have two separate files because I did not want to put the password out on the central repository.
Here is the content of $PROJECT_DIR/.hg/.hrgc:
[ui]
usermane=Venkat S. Rao <vrao423#gmail.com>
verbose=true
[paths]
default-push =https:vrao423:gc4yy3vB3mc4#//personal-site423.googlecode.com/hg/us
Here is the content of $HOME/.hgrc:
[ui]
username= Venkat Rao <vrao423#gmail.com>
verbose=True
[auth]
project.prefix=https://personal-site423.googlecode.com/hg/
password=###
username=vrao423
For username I have my Gmail id.
I can commit changes to my local repository, but when I try hg push I get this error.
** unknown exception encountered, details follow
** report bug details to http://mercurial.selenic.com/bts/
** or mercurial#selenic.com
** Mercurial Distributed SCM (version 1.4.3)
** Extensions loaded:
Traceback (most recent call last):
File "/usr/bin/hg", line 27, in
mercurial.dispatch.run()
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 16, in run
sys.exit(dispatch(sys.argv[1:]))
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 30, in dispatch
return _runcatch(u, args)
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 46, in _runcatch
return _dispatch(ui, args)
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 454, in _dispatch
return runcommand(lui, repo, cmd, fullargs, ui, options, d)
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 324, in runcommand
ret = _runcommand(ui, options, cmd, d)
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 505, in _runcommand
return checkargs()
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 459, in checkargs
return cmdfunc()
File "/usr/lib/pymodules/python2.6/mercurial/dispatch.py", line 453, in
d = lambda: util.checksignature(func)(ui, *args, **cmdoptions)
File "/usr/lib/pymodules/python2.6/mercurial/util.py", line 386, in check
return func(*args, **kwargs)
File "/usr/lib/pymodules/python2.6/mercurial/commands.py", line 2345, in push
other = hg.repository(cmdutil.remoteui(repo, opts), dest)
File "/usr/lib/pymodules/python2.6/mercurial/hg.py", line 63, in repository
repo = _lookup(path).instance(ui, path, create)
File "/usr/lib/pymodules/python2.6/mercurial/httprepo.py", line 263, in instance
inst.between([(nullid, nullid)])
File "/usr/lib/pymodules/python2.6/mercurial/httprepo.py", line 184, in between
d = self.do_read("between", pairs=n)
File "/usr/lib/pymodules/python2.6/mercurial/httprepo.py", line 128, in do_read
fp = self.do_cmd(cmd, **args)
File "/usr/lib/pymodules/python2.6/mercurial/httprepo.py", line 80, in do_cmd
resp = self.urlopener.open(urllib2.Request(cu, data, headers))
File "/usr/lib/python2.6/urllib2.py", line 391, in open
response = self._open(req, data)
File "/usr/lib/python2.6/urllib2.py", line 409, in _open
'_open', req)
File "/usr/lib/python2.6/urllib2.py", line 369, in _call_chain
result = func(*args)
File "/usr/lib/pymodules/python2.6/mercurial/url.py", line 455, in https_open
self.auth = self.pwmgr.readauthtoken(req.get_full_url())
File "/usr/lib/pymodules/python2.6/mercurial/url.py", line 141, in readauthtoken
group, setting = key.split('.', 1)
ValueError: need more than 1 value to unpack
Please help me. I have tried reading the hgrc man but that is just gibberish.
Thank You
Venkat
I'm a Mercurial developer. Please report problems with our man page on the mailinglist or on our bugtracker. I would love to hear from you so that we can make the man page better, so please write to us and tell us which part you found to be "gibberish".
In this particular case, the problem is that you need to write your auth section like this:
[auth]
project.prefix=https://personal-site423.googlecode.com/hg/
project.password=###
project.username=vrao423
where I would replace project with googlecode or something similar. We should of course report something sensible instead of a traceback and I can see that we already fixed this particular bug in Mercurial 1.5.