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conda package fails on windows #5720
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I got the same error, but I could install with pip:
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thx good to know. |
Yes, installation process completed, but I don't see new kernels in jupyter. |
altavir, can you install the kernels with something like:
of course adjust the paths match the location of your conda env. |
The path seems different for me:
But I still can't start the kernel:
Also tried to do the same with installation inside Python 3.5 environment (via cmd, since |
Oops, missing kernel inside environment was my mistake. But when I fixed it, I still get missing class exception. |
can you paste the contents of the kernel.json for groovy here please? |
Here you are:
After manipulations you proposed it is located in |
|
OK, I changed it to {
"argv": [
"java", "-cp", "C:/Anaconda/share/jupyter/nbextensions/beakerx/kernel/groovy/lib/*;C:/Anaconda/share/jupyter/nbextensions/beakerx/kernel/base/lib/*", "com.twosigma.beakerx.groovy.kernel.Groovy", "{connection_file}"
],
"display_name": "Groovy",
"language": "groovy",
"env": {
"PS1": "groovy>"
}
} and now it works. I had to use linux style slashes (probably escaped backslashes would also work) and Windows style path separator I am looking forward to stable Windows distribution. |
cool thx. not sure what files you mean, can you report full paths to the files? |
Yes of course, but they seem to be different on Linux and Windows. I believe that at least libraries in |
indeed, thx: #5781 |
When package is build on windows, and use code from PR #5797 all is OK. |
Not sure what code do you mean. |
Good to know! I haven't tested with 3.6 yet. The new instructions in #5797 do not involve creating a conda environment, just a simple |
Conda installation still asks for
Pip installation works on |
@gnestor installation is successful and I can use beaker from python, but kernels are not installed and path in them is still broken. |
Tried the last one. It is finally installs everything an seems to even avoid duplicate jars. |
thx yup working to fix it now
…On Fri, Aug 18, 2017 at 2:41 PM, Alexander Nozik ***@***.***> wrote:
Tried the last one. It is finally installs everything an seems to even
avoid duplicate jars.
The only problem is that paths in kernel specifications use DOS directory
separator \ which is treated as an escape sequence by python. You need to
either use linux / slash separator (which works just fine on Windows) or
use escaped backslash \\.
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try 0.2.4 with pip (https://pypi.org/project/beakerx/)
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great thx for the report |
see conda-forge/staged-recipes#3599 |
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