Jupyter Kernel for Xonsh
A Calysto Jupyter kernel for Xonsh.
To install:
pip install xonsh_kernel python -m xonsh_kernel.install
To use it, run one of:
jupyter notebook
# In the notebook interface, select 'Calysto Xonsh' from the 'New' menu
ipython qtconsole --kernel calysto_xonsh
ipython console --kernel calysto_xonshThis is based on MetaKernel, which means it features a standard set of %%magics. Note that this is different from the kernel that is distributed with Xonsh.
A sample notebook is available online.
Hi
I just tried this in my Anaconda distribution on windows.
I got the following error. I don't know if you expected it to work on windows, but I got the following ERROR. Maybe it is useful.
C:\Users\mel\Documents\GitHub\xonsh_kernel>ipython qtconsole --kernel=xonsh_kernel
---------------------------------------------------------------------------
TIMEOUT Traceback (most recent call last)
C:\Users\mel\Anaconda3\lib\site-packages\metakernel-0.9.0-py3.4.egg\metakernel\pexpect.py in expect_loop(self=<metakernel.pexpect.Ex
pecter object>, timeout=-0.0007159709930419922)
222 if (timeout is not None) and (timeout < 0):
--> 223 return self.timeout()
self.timeout = <bound method Expecter.timeout of <metakernel.pexpect.Expecter object at 0x00000000048C4358>>
224 # Still have time left, so read more data
C:\Users\mel\Anaconda3\lib\site-packages\metakernel-0.9.0-py3.4.egg\metakernel\pexpect.py in timeout(self=<metakernel.pexpect.Expect
er object>, err=None)
196 msg = str(err) + '\n' + msg
--> 197 raise TIMEOUT(msg)
global TIMEOUT = <class 'metakernel.pexpect.TIMEOUT'>
msg = "<metakernel.pexpect.spawnu object at 0x00000000048C4278>\nversion: 3.3\ncommand: C:\\Users\\mel\\Anaconda3\\Scripts\\
xonsh.EXE\nargs: ['C:\\\\Users\\\\mel\\\\Anaconda3\\\\Scripts\\\\xonsh.EXE']\nsearcher: None\nbuffer (last 100 chars): ''\nbefore (l
ast 100 chars): ''\nafter: <class 'metakernel.pexpect.TIMEOUT'>\nmatch: None\nmatch_index: None\nexitstatus: None\nflag_eof: False\n
pid: 11372\nchild_fd: 7\nclosed: False\ntimeout: 30\ndelimiter: <class 'metakernel.pexpect.EOF'>\nlogfile: None\nlogfile_read: None\
nlogfile_send: None\nmaxread: 2000\nignorecase: False\nsearchwindowsize: None\ndelaybeforesend: 0.05\ndelayafterclose: 0.1\ndelayaft
erterminate: 0.1"
198
TIMEOUT: <metakernel.pexpect.spawnu object at 0x00000000048C4278>
version: 3.3
command: C:\Users\mel\Anaconda3\Scripts\xonsh.EXE
args: ['C:\\Users\\mel\\Anaconda3\\Scripts\\xonsh.EXE']
searcher: None
buffer (last 100 chars): ''
before (last 100 chars): ''
after: <class 'metakernel.pexpect.TIMEOUT'>
match: None
match_index: None
exitstatus: None
flag_eof: False
pid: 11372
child_fd: 7
closed: False
timeout: 30
delimiter: <class 'metakernel.pexpect.EOF'>
logfile: None
logfile_read: None
logfile_send: None
maxread: 2000
ignorecase: False
searchwindowsize: None
delaybeforesend: 0.05
delayafterclose: 0.1
delayafterterminate: 0.1Running setup.py on the lastest pull gives the following error:
Traceback (most recent call last):
File "setup.py", line 29, in <module>
with open('xonsh_kernel.py', 'rb') as fid:
FileNotFoundError: [Errno 2] No such file or directory: 'xonsh_kernel.py'xonsh_kernel is now a directory rather than a self contained file.
I installed with pip install xonsh_kernel on IPython 4.0, Python 3.5 (Anaconda on Linux Mint)
pip show xonsh-kernel says it's installed:
---
Metadata-Version: 2.0
Name: xonsh-kernel
Version: 0.1.0
Summary: An Xonsh kernel for Jupyter/IPython
Home-page: https://github.com/calysto/xonsh_kernel
Author: Steven Silvester
Author-email: [email protected]
License: MIT
Location: /home/louis/anaconda3/lib/python3.5/site-packages
Requires: metakernel, IPython
But no entry in ~/.local/share/jupyter/kernels (where matlab_kernel went for example) nor in ~/.ipython/kernels nor in /usr/local/share/jupyter/kernels, and so no entry in the 'select kernel' menu item, and "No such kernel error" when I run ipython qtconsole --kernel=xonsh_kernel
Traceback (most recent call last):
File "/home/louis/anaconda3/lib/python3.5/site-packages/jupyter_client/kernelspec.py", line 141, in get_kernel_spec
resource_dir = d[kernel_name.lower()]
KeyError: 'xonsh_kernel'
During handling of the above exception, another exception occurred:
...
File "/home/louis/anaconda3/lib/python3.5/site-packages/jupyter_client/kernelspec.py", line 143, in get_kernel_spec
raise NoSuchKernel(kernel_name)
jupyter_client.kernelspec.NoSuchKernel: 'xonsh_kernel'
Have I missed something obvious here or is this a work in progress..? Or perhaps not compatible with IPython 4 yet ?
Looks like travis is failing:
I tried to use the IPython display functionality as below:
from IPython.display import display,HTML
display(HTML('<h4>Here is an H4 header</h4>'))
but I get the following error (on Ubuntu 16.04 and on Windows7, using Anaconda Python).
AttributeError: '_io.StringIO' object has no attribute 'softspace'
Below is my config (on Ubuntu):
mjb@NUC ~ $ xonfig +------------------+----------+ | xonsh | 0.3.4 | | Python | 3.5.1 | | PLY | 3.7 | | have readline | True | | prompt toolkit | None | | shell type | readline | | pygments | 2.1.1 | | on posix | True | | on linux | True | | distro | debian | | on darwin | False | | on windows | False | | on cygwin | False | | is superuser | False | | default encoding | utf-8 | +------------------+----------+
When submitting a command, shell wits forever (with an asterisk) and never returns. Console displays:
[I 13:12:12.296 LabApp] Kernel started: e7b452df-0c35-4a98-b3be-b8b55abbefc9
[I 13:12:13.493 LabApp] Adapting to protocol v5.1 for kernel e7b452df-0c35-4a98-b3be-b8b55abbefc9
[IPKernelApp] ERROR | Exception in message handler:
Traceback (most recent call last):
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh/__amalgam__.py", line 14820, in default
run_compiled_code(code, self.ctx, None, 'single')
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh/__amalgam__.py", line 2322, in run_compiled_code
func(code, glb, loc)
File "<xonsh-code>", line 1, in <module>
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/ipykernel/displayhook.py", line 34, in __call__
sys.stdout.flush()
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh/__amalgam__.py", line 14667, in flush
self.std.flush()
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/tempfile.py", line 848, in flush
self._file.flush()
ValueError: I/O operation on closed file.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 233, in dispatch_shell
handler(stream, idents, msg)
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/metakernel/_metakernel.py", line 357, in do_execute
retval = self.do_execute_direct(code)
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh_kernel/kernel.py", line 45, in do_execute_direct
out, err, interrupted = self._do_execute_direct(code)
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh_kernel/kernel.py", line 74, in _do_execute_direct
shell.default(code)
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh/__amalgam__.py", line 14829, in default
print_exception()
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh/__amalgam__.py", line 4286, in print_exception
sys.stderr.write('xonsh: For full traceback set: '
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/site-packages/xonsh/__amalgam__.py", line 14663, in write
self.std.write(std_s)
File "/home/icarito/Proyectos/Jappy2/.direnv/python-3.5.3/lib/python3.5/tempfile.py", line 905, in write
rv = file.write(s)
ValueError: I/O operation on closed file.
``
Hi @blink1073!
Could you please add the xonsh topic to the repository About settings?
It will help to grow the xonsh community!
Thanks!
Running on Windows 7:
I installed using
pip install xonsh_kernel
python -m xonsh_kernel.install
On starting a notebook from the Jupyter dashboard as "New -> Calysto Xonsh" the kernel dies repeatedly (immediately).
The jupyter console log shows:
[I 19:37:48.022 NotebookApp] Kernel started: 672f7917-b2a4-407a-8e5b-a6e509521df1
Traceback (most recent call last):
File "C:\Progs\Anaconda3\lib\runpy.py", line 170, in run_module_as_main
"main", mod_spec)
File "C:\Progs\Anaconda3\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "C:\Progs\Anaconda3\lib\site-packages\xonsh_kernel__main.py", line 6, in
from .kernel import XonshKernel
File "C:\Progs\Anaconda3\lib\site-packages\xonsh_kernel\kernel.py", line 10, in
from xonsh.tools import redirect_stdout, redirect_stderr, swap, ON_POSIX
ImportError: cannot import name 'ON_POSIX'
MacOSX, python 3.7, xonsh-0.9.13.dev1, xonsh-kernel-0.4.1, starting jupyter notebook, enter ls, notebook hangs with the following error message displayed in console
/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/ipykernel/iostream.py:14: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
from imp import lock_held as import_lock_held
/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/ipykernel/kernelapp.py:523: DeprecationWarning: zmq.eventloop.ioloop is deprecated in pyzmq 17. pyzmq now works with default tornado and asyncio eventloops.
zmq_ioloop.install()
/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/jupyter_client/connect.py:401: DeprecationWarning: IPKernelApp._ip_changed is deprecated in traitlets 4.1: use @observe and @unobserve instead.
def _ip_changed(self, name, old, new):
[IPKernelApp] ERROR | Exception in message handler:
Traceback (most recent call last):
File "/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 268, in dispatch_shell
yield gen.maybe_future(handler(stream, idents, msg))
File "/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/tornado/gen.py", line 735, in run
value = future.result()
File "/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 541, in execute_request
user_expressions, allow_stdin,
File "/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/metakernel/_metakernel.py", line 395, in do_execute
retval = self.do_execute_direct(code)
File "/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/xonsh_kernel/kernel.py", line 45, in do_execute_direct
out, err, interrupted = self._do_execute_direct(code)
File "/Users/bpeng1/anaconda3/envs/sos/lib/python3.7/site-packages/xonsh_kernel/kernel.py", line 60, in _do_execute_direct
shell = builtins.__xonsh_shell__
AttributeError: module 'builtins' has no attribute '__xonsh_shell__'
[I 11:20:59.737 NotebookApp] Saving file at /Untitled1.ipynb
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.