First of all, the machine is running Fedora 13 and the version of PyInstaller is 1.5.1
I did use --onefile when generate the spec.
I did not have any error with running 'import atexit' from within Python interpreter.
Here's the traceback from running the binary:
Traceback (most recent call last):
File "<string>", line 14, in <module>
File "/home/pyinstaller-1.5.1/iu.py", line 436, in importHook
mod = _self_doimport(nm, ctx, fqname)
File "/home/pyinstaller-1.5.1/iu.py", line 495, in doimport
mod = importfunc(nm)
File "/home/pyinstaller-1.5.1/iu.py", line 297, in getmod
mod = owner.getmod(nm)
File "/home/pyinstaller-1.5.1/archive.py", line 468, in getmod
return iu.DirOwner.getmod(self, self.prefix+'.'+nm)
File "/home/pyinstaller-1.5.1/iu.py", line 109, in getmod
mod = imp.load_module(nm, fp, attempt, (ext, mode, typ))
File "/home/pyinstaller-1.5.1/iu.py", line 436, in importHook
mod = _self_doimport(nm, ctx, fqname)
File "/home/pyinstaller-1.5.1/iu.py", line 505, in doimport
mod = director.getmod(nm)
File "/home/pyinstaller-1.5.1/iu.py", line 297, in getmod
mod = owner.getmod(nm)
File "/home/pyinstaller-1.5.1/iu.py", line 109, in getmod
mod = imp.load_module(nm, fp, attempt, (ext, mode, typ))
File "/home/pyinstaller-1.5.1/iu.py", line 455, in importHook
raise ImportError, "No module named %s" % fqname
ImportError: No module named atexit
I solved this by adding 'import atexit' into the source code. Hope this will help other people who have similar problems
Another solution is to add --hidden-import=atexit to PyInstaller arguments so that PyInstaller can know it's an import of your app and therefore include it in the executable.
More documentation can be found here: https://pyinstaller.org/en/stable/usage.html#cmdoption-hidden-import
Related
I have been trying to get a Jupyter object detection tutorial to run but for some reason, when the left hand side should go from In[] and switch to In1, it stays as In[0]. I assume this means the code isn't actually running. The top of the page also says there is a Kernel Error and when I click this, the following code is displayed:
Traceback (most recent call last):
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\web.py", line 1703, in _execute
result = await result
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\gen.py", line 742, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "c:\anaconda\envs\tensorflow1\lib\site-packages\notebook\services\sessions\handlers.py", line 69, in post
model = yield maybe_future(
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\gen.py", line 735, in run
value = future.result()
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\gen.py", line 742, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "c:\anaconda\envs\tensorflow1\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 88, in create_session
kernel_id = yield self.start_kernel_for_session(session_id, path, name, type, kernel_name)
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\gen.py", line 735, in run
value = future.result()
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\gen.py", line 742, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "c:\anaconda\envs\tensorflow1\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 100, in start_kernel_for_session
kernel_id = yield maybe_future(
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\gen.py", line 735, in run
value = future.result()
File "c:\anaconda\envs\tensorflow1\lib\site-packages\tornado\gen.py", line 209, in wrapper
yielded = next(result)
File "c:\anaconda\envs\tensorflow1\lib\site-packages\notebook\services\kernels\kernelmanager.py", line 168, in start_kernel
super(MappingKernelManager, self).start_kernel(**kwargs)
File "c:\anaconda\envs\tensorflow1\lib\site-packages\jupyter_client\multikernelmanager.py", line 158, in start_kernel
km.start_kernel(**kwargs)
File "c:\anaconda\envs\tensorflow1\lib\site-packages\jupyter_client\manager.py", line 301, in start_kernel
kernel_cmd, kw = self.pre_start_kernel(**kw)
File "c:\anaconda\envs\tensorflow1\lib\site-packages\jupyter_client\manager.py", line 248, in pre_start_kernel
self.write_connection_file()
File "c:\anaconda\envs\tensorflow1\lib\site-packages\jupyter_client\connect.py", line 468, in write_connection_file
self.connection_file, cfg = write_connection_file(self.connection_file,
File "c:\anaconda\envs\tensorflow1\lib\site-packages\jupyter_client\connect.py", line 138, in write_connection_file
with secure_write(fname) as f:
File "c:\anaconda\envs\tensorflow1\lib\contextlib.py", line 113, in enter
return next(self.gen)
File "c:\anaconda\envs\tensorflow1\lib\site-packages\jupyter_core\paths.py", line 435, in secure_write
win32_restrict_file_to_user(fname)
File "c:\anaconda\envs\tensorflow1\lib\site-packages\jupyter_core\paths.py", line 361, in win32_restrict_file_to_user
import win32api
ImportError: DLL load failed while importing win32api: The specified module could not be found.
I am not sure why there is an import error. For reference, I have downloaded CUDA 10.1, cuDNN 7.6.5, anaconda for python 3.6, and TensorFlow 2.0.0. Please let me know how I can fix this to get the Jupyter code to run.
I had the same problem. Then I rebooted and it worked fine.
In the kernel error appears this:
Traceback (most recent call last):
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\web.py", line 1699, in _execute
result = await result
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line 742, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\notebook\services\sessions\handlers.py", line 72, in post
type=mtype))
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line 735, in run
value = future.result()
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line 742, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\notebook\services\sessions\sessionmanager.py", line 88, in create_session
kernel_id = yield self.start_kernel_for_session(session_id, path, name, type, kernel_name)
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line 735, in run
value = future.result()
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line 742, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\notebook\services\sessions\sessionmanager.py", line 101, in start_kernel_for_session
self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name)
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line 735, in run
value = future.result()
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line 209, in wrapper
yielded = next(result)
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\notebook\services\kernels\kernelmanager.py", line 168, in start_kernel
super(MappingKernelManager, self).start_kernel(**kwargs)
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\jupyter_client\multikernelmanager.py", line 110, in start_kernel
km.start_kernel(**kwargs)
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\jupyter_client\manager.py", line 240, in start_kernel
self.write_connection_file()
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\jupyter_client\connect.py", line 476, in write_connection_file
kernel_name=self.kernel_name
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\jupyter_client\connect.py", line 141, in write_connection_file
with secure_write(fname) as f:
File "C:\Users\A0165\Anaconda3\lib\contextlib.py", line 112, in enter
return next(self.gen)
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\jupyter_core\paths.py", line 404, in secure_write
win32_restrict_file_to_user(fname)
File "C:\Users\A0165\AppData\Roaming\Python\Python37\site-packages\jupyter_core\paths.py", line 359, in win32_restrict_file_to_user
import win32api
ImportError: DLL load failed: No se encontró el proceso especificado.
I recently got same error on Windows10 x86_64bit with Python3.7-32bit or Python3.8-64bit environment. In my case, the mismatch of bit and version seemed to be the root cause. At first I uninstalled all the Python versions and Anaconda, then re-installed them again as following, then the kernel error disappeared on junyper-notebook.
Windows10 x86_64bit
Python3.7.5-64bit
Anaconda3-2019.10-Windows-x86_64
*Anaconda seems to use \Python37\ path as default so my Python3.8 didn't work well. I don't know how to change the path to Python38.
Like sshinobu, I recently got this error here.
Short version - It went away after running Anaconda-Navigator, and if needed Anaconda Prompt in administrator mode. Hope that fixes it for you
I am new to Jupyter notebook when I try to create a Jupyter notebook, it fail to start the kernel by showing below error message, my python version is 3.5.2 and jupyter version is 4.2.0:
Traceback (most recent call last):
File "/home/andy/anaconda3/lib/python3.5/site-packages/traitlets/traitlets.py", line 526, in get
value = obj._trait_values[self.name]
KeyError: 'loop'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/andy/anaconda3/lib/python3.5/site-packages/notebook/base/handlers.py", line 457, in wrapper
result = yield gen.maybe_future(method(self, *args, **kwargs))
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 1133, in run
value = future.result()
File "/home/andy/anaconda3/lib/python3.5/asyncio/futures.py", line 274, in result
raise self._exception
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 1141, in run
yielded = self.gen.throw(*exc_info)
File "/home/andy/anaconda3/lib/python3.5/site-packages/notebook/services/sessions/handlers.py", line 62, in post
kernel_id=kernel_id))
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 1133, in run
value = future.result()
File "/home/andy/anaconda3/lib/python3.5/asyncio/futures.py", line 274, in result
raise self._exception
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 1141, in run
yielded = self.gen.throw(*exc_info)
File "/home/andy/anaconda3/lib/python3.5/site-packages/notebook/services/sessions/sessionmanager.py", line 79, in create_session
kernel_name)
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 1133, in run
value = future.result()
File "/home/andy/anaconda3/lib/python3.5/asyncio/futures.py", line 274, in result
raise self._exception
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 1141, in run
yielded = self.gen.throw(*exc_info)
File "/home/andy/anaconda3/lib/python3.5/site-packages/notebook/services/sessions/sessionmanager.py", line 92, in start_kernel_for_session
self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name)
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 1133, in run
value = future.result()
File "/home/andy/anaconda3/lib/python3.5/asyncio/futures.py", line 274, in result
raise self._exception
File "/home/andy/.local/lib/python3.5/site-packages/tornado/gen.py", line 326, in wrapper
yielded = next(result)
File "/home/andy/anaconda3/lib/python3.5/site-packages/notebook/services/kernels/kernelmanager.py", line 87, in start_kernel
super(MappingKernelManager, self).start_kernel(**kwargs)
File "/home/andy/anaconda3/lib/python3.5/site-packages/jupyter_client/multikernelmanager.py", line 110, in start_kernel
km.start_kernel(**kwargs)
File "/home/andy/anaconda3/lib/python3.5/site-packages/jupyter_client/manager.py", line 258, in start_kernel
self.start_restarter()
File "/home/andy/anaconda3/lib/python3.5/site-packages/jupyter_client/ioloop/manager.py", line 49, in start_restarter
kernel_manager=self, loop=self.loop,
File "/home/andy/anaconda3/lib/python3.5/site-packages/traitlets/traitlets.py", line 554, in __get__
return self.get(obj, cls)
File "/home/andy/anaconda3/lib/python3.5/site-packages/traitlets/traitlets.py", line 533, in get
value = self._validate(obj, dynamic_default())
File "/home/andy/anaconda3/lib/python3.5/site-packages/traitlets/traitlets.py", line 589, in _validate
value = self.validate(obj, value)
File "/home/andy/anaconda3/lib/python3.5/site-packages/traitlets/traitlets.py", line 1681, in validate
self.error(obj, value)
File "/home/andy/anaconda3/lib/python3.5/site-packages/traitlets/traitlets.py", line 1528, in error
raise TraitError(e)
traitlets.traitlets.TraitError: The 'loop' trait of an IOLoopKernelManager instance must be a ZMQIOLoop, but a value of class 'tornado.platform.asyncio.AsyncIOMainLoop' (i.e. <tornado.platform.asyncio.AsyncIOMainLoop object at 0x7f1dd34e8ef0>) was specified.
And I have also checked the kernel by using below command:
jupyter kernelspec list
Get below result:
Available kernels:
python3 /home/andy/anaconda3/share/jupyter/kernels/python3
Can anyone help me?
Jupyter 4.2.0 is pretty old, and is not compatible with Tornado versions newer than 5.0. You need to either upgrade to a newer version of Jupyter or downgrade to an older version of Tornado (with pip, this would be pip install "tornado<5.0". I don't know the conda equivalent)
I just started the PyTorch-Tutorial Deep Learning with PyTorch: A 60 Minute Blitz and I should add, that I haven't programmed any python (but other languages like Java) before.
Right now, my Code looks like
import torch
import torchvision
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import numpy as np
print("\n-------------------Backpropagation-------------------\n")
transform = transforms.Compose(
[transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
trainset = torchvision.datasets.CIFAR10(root='./data', train=True,download=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=4, shuffle=True, num_workers=2)
testset = torchvision.datasets.CIFAR10(root='./data', train=False, download=True, transform=transform)
testloader = torch.utils.data.DataLoader(testset, batch_size=4, shuffle=False, num_workers=2)
classes = ('plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck')
dataiter = iter(trainloader)
images, labels = dataiter.next()
def imshow(img):
img = img / 2 + 0.5
npimg = img.numpy()
plt.imshow(np.transpose(npimg, (1, 2, 0)))
imshow(torchvision.utils.make_grid(images))
print(' '.join('%5s' % classes[labels[j]] for j in range(4)))
which should be consistent with the tutorial.
If I execute this, I'll get the following error:
"C:\Program Files\Anaconda3\python.exe" C:/MA/pytorch/deepLearningWithPytorchTutorial/trainingClassifier.py
-------------------Backpropagation-------------------
Files already downloaded and verified
Files already downloaded and verified
-------------------Backpropagation-------------------
Files already downloaded and verified
Files already downloaded and verified
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Program Files\Anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Program Files\Anaconda3\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Program Files\Anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Program Files\Anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Program Files\Anaconda3\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Program Files\Anaconda3\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Program Files\Anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\MA\pytorch\deepLearningWithPytorchTutorial\trainingClassifier.py", line 23, in <module>
dataiter = iter(trainloader)
File "C:\Program Files\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 451, in __iter__
return _DataLoaderIter(self)
File "C:\Program Files\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 239, in __init__
w.start()
File "C:\Program Files\Anaconda3\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Program Files\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Program Files\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Program Files\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Program Files\Anaconda3\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Program Files\Anaconda3\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
Traceback (most recent call last):
File "C:/MA/pytorch/deepLearningWithPytorchTutorial/trainingClassifier.py", line 23, in <module>
dataiter = iter(trainloader)
File "C:\Program Files\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 451, in __iter__
return _DataLoaderIter(self)
File "C:\Program Files\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 239, in __init__
w.start()
File "C:\Program Files\Anaconda3\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Program Files\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Program Files\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Program Files\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
reduction.dump(process_obj, to_child)
File "C:\Program Files\Anaconda3\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
Process finished with exit code 1
I already downloaded the *.py and *.ipynb.
Running the *.ipynb with jupyter works fine (but I don't want to programm in the juniper web-interface, I prefer pyCharm) while the *.py in the console (Anaconda prompt and cmd) fails with the same error.
Does anyone know how to fix this?
(I'm using Python 3.6.5 (from Anaconda) and pyCharm, OS: Win10 64-bit)
Thanks!
Bene
Update:
If it is relevant, I just set num_workers=2 to num_workers=0 (both) and then it'll work.. .
Check out the documentation for multiprocessing: programming guidelines for windows. You should wrap all operations in functions and then call them inside an if __name__ == '__main__' clause:
# required imports
def load_datasets(...):
# Code to load the datasets with multiple workers
def train(...):
# Code to train the model
if __name__ == '__main__':
load_datasets()
train()
In short, the the idea here is to wrap the example code inside an if __name__ == '__main__' statement.
Because of different implementation of multiprocessing in Windows, you need to wrap your main code with this block:
if __name__ == '__main__':
For more info, you can check the official PyTorch Windows notes.
I've already seen this answer:
Gremlin, How to add edge to existing vertex in gremlin-python
and it wasn't really helpful. As suggested in one of the comments I did try to update gremlinpython 3.3.0 but then I get key error.
Stack:
JanusGraph 0.2.0, gremlinpython3.2.3
This is my code
from gremlin_python import statics
from gremlin_python.structure.graph import Graph
from gremlin_python.process.graph_traversal import __
from gremlin_python.process.strategies import *
from gremlin_python.driver.driver_remote_connection import DriverRemoteConnection
graph = Graph()
g = graph.traversal().withRemote(DriverRemoteConnection('ws://localhost:8182/gremlin','g'))
martha = g.V().has('name','martha').next()
jack = g.V().has('name','jack').next()
#e_id = g.addE(jack,'likes',martha).next()
e_id = g.V(martha).as_('to').V(jack).addE("Likes").to('to').toList()
print e_id.toList()
StackTrace with gremlinpython 3.3.0
Traceback (most recent call last):
File "gremlin-py.py", line 9, in <module>
martha = g.V().has('name','martha').next()
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/process/traversal.py", line 70,in next
return self.__next__()
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/process/traversal.py", line 43,in __next__
self.traversal_strategies.apply_strategies(self)
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/process/traversal.py", line 352, in apply_strategies
traversal_strategy.apply(traversal)
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/driver/remote_connection.py", line 143, in apply
remote_traversal = self.remote_connection.submit(traversal.bytecode)
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/driver/driver_remote_connection.py", line 54, in submit
results = result_set.all().result()
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/concurrent/futures/_base.py", line 429, in result
return self.__get_result()
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/concurrent/futures/_base.py", line 381, in __get_result
raise exception_type, self._exception, self._traceback
KeyError: None
In my case, 3.3.0 is throwing error for all queries including g.V().next(). Now going back to 3.2.3, addvertex and other queries are working absolutely fine, but I couldn't figure out how to add edges. The same code when run with 3.2.3 produces,
StackTrace with gremlinpython 3.2.3
Traceback (most recent call last): File "gremlin-py.py", line 12, in <module>
e_id = g.V(martha).as_('to').V(jack).addE("Likes").to('to').toList()
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/process/traversal.py", line 52, in toList return list(iter(self))
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/process/traversal.py", line 70, in next
return self.__next__() File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/process/traversal.py", line 43, in __next__
self.traversal_strategies.apply_strategies(self) File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/process/traversal.py", line 284, in apply_strategies
traversal_strategy.apply(traversal)
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/driver/remote_connection.py", line 95, in apply remote_traversal = self.remote_connection.submit(traversal.bytecode) File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/driver/driver_remote_connection.py", line 53, in submit traversers = self._loop.run_sync(lambda: self.submit_traversal_bytecode(request_id, bytecode))
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/tornado/ioloop.py", line 457, in run_sync
return future_cell[0].result() File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/tornado/concurrent.py", line 237, in result
raise_exc_info(self._exc_info)
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/tornado/gen.py", line 285, in wrapper
yielded = next(result)
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/driver/driver_remote_connection.py", line 69, in submit_traversal_bytecode
"gremlin": self._graphson_writer.writeObject(bytecode),
File "/Users/arvindn/.virtualenvs/gremlinenv/lib/python2.7/site-packages/gremlin_python/structure/io/graphson.py", line 72, in writeObject
return json.dumps(self.toDict(objectData), separators=(',', ':'))
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 250, in dumps
sort_keys=sort_keys, **kw).encode(obj)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 207, in encode
chunks = self.iterencode(o, _one_shot=True)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 270, in iterencode
return _iterencode(o, 0)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 184, in default
raise TypeError(repr(o) + " is not JSON serializable")
TypeError: v[4184] is not JSON serializable
It says v[x] is not JSON serializable. I'm not sure what causes this error. It'll be awesome if someone can help. If any more info is needed, I shall update the question accordingly.
JanusGraph 0.2.0 uses Apache TinkerPop 3.2.6. You should use the 3.2.6 version of the gremlinpython driver.
pip uninstall gremlinpython
pip install gremlinpython==3.2.6