Open jolespin opened 5 years ago
Can you try downgrading to Tornado 5 and see if that resolves the issue? If so, then this is probably something that we would want to raise with Jupyter devs.
On Thu, Sep 26, 2019 at 2:31 PM Josh L. Espinoza notifications@github.com wrote:
I tried installing datashader which uses distributed as a dependency. I noticed that my Jupyter breaks to the point where I can't even run just 0 to get an output from the cells. The developers of datashader helped me figure out which package changes there were prior and post installation.
I went through the painstaking process of manually installing each of the package versions, opening up jupyter lab and trying to print 0. Installing dask, cloudpickle, distributed broke it. I tried downgrading distributed from 2.4.0 --> 2.3.2 but it was still broken. I reinstalled 2.4.0 then uninstalled via pip uninstall distributed and this fixed my Jupyter.
This conversation has a lot of backstory: pyviz/datashader#790 https://github.com/pyviz/datashader/issues/790
Here's my software version:
(soothsayer_testing_env) jespinozlt-osx:~ jespinoz$ sw_vers ProductName: Mac OS X ProductVersion: 10.14.6 BuildVersion: 18G95
Here's my environment specs:
(soothsayer_testing_env) jespinozlt-osx:~ jespinoz$ conda info
active environment : soothsayer_testing_env active env location : /Users/jespinoz/anaconda3/envs/soothsayer_testing_env shell level : 2 user config file : /Users/jespinoz/.condarc
populated config files : /Users/jespinoz/.condarc conda version : 4.7.10 conda-build version : 3.18.8 python version : 3.7.3.final.0 virtual packages : base environment : /Users/jespinoz/anaconda3 (writable) channel URLs : https://conda.anaconda.org/bioconda/osx-64 https://conda.anaconda.org/bioconda/noarch https://conda.anaconda.org/conda-forge/osx-64 https://conda.anaconda.org/conda-forge/noarch https://repo.anaconda.com/pkgs/main/osx-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/osx-64 https://repo.anaconda.com/pkgs/r/noarch https://conda.anaconda.org/jolespin/osx-64 https://conda.anaconda.org/jolespin/noarch package cache : /Users/jespinoz/anaconda3/pkgs /Users/jespinoz/.conda/pkgs envs directories : /Users/jespinoz/anaconda3/envs /Users/jespinoz/.conda/envs platform : osx-64 user-agent : conda/4.7.10 requests/2.22.0 CPython/3.7.3 Darwin/18.7.0 OSX/10.14.6 UID:GID : 3456:63 netrc file : None offline mode : False
(soothsayer_testing_env) jespinozlt-osx:~ jespinoz$ conda list
packages in environment at /Users/jespinoz/anaconda3/envs/soothsayer_testing_env:
#
Name Version Build Channel
_r-mutex 1.0.1 anacondar_1 conda-forge adjusttext 0.7.3.1 py_0 conda-forge appnope 0.1.0 py36_1000 conda-forge astropy 3.2.1 py36h01d97ff_0 conda-forge atomicwrites 1.3.0 py_0 conda-forge attrs 19.1.0 py_0 conda-forge backcall 0.1.0 py_0 conda-forge bids-validator 1.2.4 pypi_0 pypi bioconductor-annotationdbi 1.46.0 r36_1 bioconda bioconductor-biobase 2.44.0 r36h01d97ff_1 bioconda bioconductor-biocgenerics 0.30.0 r36_1 bioconda bioconductor-biomformat 1.12.0 r36_1 bioconda bioconductor-biostrings 2.52.0 r36h01d97ff_1 bioconda bioconductor-edger 3.26.5 r36h6de7cb9_0 bioconda bioconductor-ggtree 1.16.3 r36_0 bioconda bioconductor-go.db 3.8.2 r36_1 bioconda bioconductor-ihw 1.12.0 r36_1 bioconda bioconductor-impute 1.58.0 r36hd44dcd8_1 bioconda bioconductor-iranges 2.18.2 r36h01d97ff_0 bioconda bioconductor-limma 3.40.2 r36h01d97ff_0 bioconda bioconductor-lpsymphony 1.12.0 r36h6de7cb9_1 bioconda bioconductor-metagenomeseq 1.26.2 r36_0 bioconda bioconductor-multtest 2.40.0 r36h01d97ff_1 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4.0.1 h22b1bf0_17 conda-forge click 7.0 py_0 conda-forge cloudpickle 1.2.2 pypi_0 pypi compiler-rt 4.0.1 hcfea43d_1 curl 7.65.3 ha441bb4_0 cycler 0.10.0 py_1 conda-forge cython 0.29.13 py36h6de7cb9_0 conda-forge dask 2.4.0 pypi_0 pypi dbus 1.13.6 h2f22bb5_0 conda-forge decorator 4.4.0 py_0 conda-forge defusedxml 0.6.0 pypi_0 pypi docopt 0.6.2 pypi_0 pypi entrypoints 0.3 pypi_0 pypi et-xmlfile 1.0.1 pypi_0 pypi ete3 3.1.1 py36_0 bioconda expat 2.2.5 h6de7cb9_1003 conda-forge fastcluster 1.1.25 py36h1702cab_1000 conda-forge fontconfig 2.13.1 h1027ab8_1000 conda-forge freetype 2.10.0 h24853df_1 conda-forge fribidi 1.0.5 h01d97ff_1002 conda-forge fsspec 0.5.1 pypi_0 pypi future 0.17.1 py36_1000 conda-forge gettext 0.19.8.1 h46ab8bc_1002 conda-forge gfortran_osx-64 4.8.5 h22b1bf0_8 conda-forge glib 2.58.3 h9d45998_1002 conda-forge gneiss 0.4.5 py_0 bioconda graphite2 1.3.13 h2098e52_1000 conda-forge graphviz 2.38.0 hc6cc99f_1011 conda-forge gsl 2.4 ha2d443c_1006 conda-forge harfbuzz 2.4.0 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I just tried installing pip install tornado==5
and I'm still getting the same hang up.
Can I literally just copy and paste my original post to https://github.com/jupyter/jupyter_core ?
Installing dask, cloudpickle, distributed broke it. I tried downgrading distributed from 2.4.0 --> 2.3.2 but it was still broken. I reinstalled 2.4.0 then uninstalled via pip uninstall distributed and this fixed my Jupyter
It would be good to know more precisely where the issue is. With the information you have now it's clear that a problem exists, but unfortunately it's not clear what the problem is or how to fix it.
Does the problem arise if you only install dask, or only install cloudpickle, or only install tornado? If you install all of distributed
's dependencies, but not distributed, does it still work?
Can I literally just copy and paste my original post to https://github.com/jupyter/jupyter_core ?
I don't know what the Jupyter devs prefer here unfortunately.
Your environment is also quite large. It would be very valuable to get the smallest possible environment that reproduces this issue. That would make it much more likely that we could get someone to help us.
I think it works because I installed dask
, cloudpickle
, and distributed
then it wasn't working. I uninstalled distributed
and left the other 2, then the problem was fixed.
Is there anything else I can try or print out before I move on from this today?
Is there anything else I can try or print out before I move on from this today?
Creating a minimal environment is probably the most important step to identify the problem.
This might be either a command like the following:
conda create -n jupyter-stalls jupyter distributed=2.4 ...
Or a conda environment file such that if a maintainer creates that environment, they too will see the same error. Ideally this environment doesn't include many packages that are unrelated to the error.
Yup, here's the environment file: https://github.com/jolespin/soothsayer/blob/master/install/soothsayer_py36_v2019.08.osx.yml
conda env create --name soothsayer_testing_env --file <> --yes
Interesting, so I just installed the minimal environment and it's working with jupyter and distributed together.
Right, so now the question is what else is going on with all of the packages in your personal environment file. Ideally we would find the minimal environment that recreates the error.
Any update here @jolespin ?
I'm not sure how to go about doing this besides manually installing each package one by one and then running jupyter.
That is an approach. I agree that it would take a while, but it's probably much faster than trying to figure out what's going wrong by looking at the code.
Alterenatively you could create an environment file that you know fails, and then remove most of the packages that you think shouldn't affect it, try again, and then do a bit of binary search, removing or adding back in sets of packages. This is still tedious, but at least it's O(log(n)) tedious rather than O(n) tedious :)
I tried installing
datashader
which usesdistributed
as a dependency. I noticed that myJupyter
breaks to the point where I can't even run just0
to get an output from the cells. The developers ofdatashader
helped me figure out which package changes there were prior and post installation.I went through the painstaking process of manually installing each of the package versions, opening up
jupyter lab
and trying to print0
. Installingdask
,cloudpickle
,distributed
broke it. I tried downgradingdistributed
from2.4.0 --> 2.3.2
but it was still broken. I reinstalled2.4.0
then uninstalled viapip uninstall distributed
and this fixed myJupyter
.This conversation has a lot of backstory: https://github.com/pyviz/datashader/issues/790
Here's my software version:
Here's my environment specs:
``` (soothsayer_testing_env) jespinozlt-osx:~ jespinoz$ conda info active environment : soothsayer_testing_env active env location : /Users/jespinoz/anaconda3/envs/soothsayer_testing_env shell level : 2 user config file : /Users/jespinoz/.condarc populated config files : /Users/jespinoz/.condarc conda version : 4.7.10 conda-build version : 3.18.8 python version : 3.7.3.final.0 virtual packages : base environment : /Users/jespinoz/anaconda3 (writable) channel URLs : https://conda.anaconda.org/bioconda/osx-64 https://conda.anaconda.org/bioconda/noarch https://conda.anaconda.org/conda-forge/osx-64 https://conda.anaconda.org/conda-forge/noarch https://repo.anaconda.com/pkgs/main/osx-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/osx-64 https://repo.anaconda.com/pkgs/r/noarch https://conda.anaconda.org/jolespin/osx-64 https://conda.anaconda.org/jolespin/noarch package cache : /Users/jespinoz/anaconda3/pkgs /Users/jespinoz/.conda/pkgs envs directories : /Users/jespinoz/anaconda3/envs /Users/jespinoz/.conda/envs platform : osx-64 user-agent : conda/4.7.10 requests/2.22.0 CPython/3.7.3 Darwin/18.7.0 OSX/10.14.6 UID:GID : 3456:63 netrc file : None offline mode : False (soothsayer_testing_env) jespinozlt-osx:~ jespinoz$ conda list # packages in environment at /Users/jespinoz/anaconda3/envs/soothsayer_testing_env: # # Name Version Build Channel _r-mutex 1.0.1 anacondar_1 conda-forge adjusttext 0.7.3.1 py_0 conda-forge appnope 0.1.0 py36_1000 conda-forge astropy 3.2.1 py36h01d97ff_0 conda-forge atomicwrites 1.3.0 py_0 conda-forge attrs 19.1.0 py_0 conda-forge backcall 0.1.0 py_0 conda-forge bids-validator 1.2.4 pypi_0 pypi bioconductor-annotationdbi 1.46.0 r36_1 bioconda bioconductor-biobase 2.44.0 r36h01d97ff_1 bioconda bioconductor-biocgenerics 0.30.0 r36_1 bioconda bioconductor-biomformat 1.12.0 r36_1 bioconda bioconductor-biostrings 2.52.0 r36h01d97ff_1 bioconda bioconductor-edger 3.26.5 r36h6de7cb9_0 bioconda bioconductor-ggtree 1.16.3 r36_0 bioconda bioconductor-go.db 3.8.2 r36_1 bioconda bioconductor-ihw 1.12.0 r36_1 bioconda bioconductor-impute 1.58.0 r36hd44dcd8_1 bioconda bioconductor-iranges 2.18.2 r36h01d97ff_0 bioconda bioconductor-limma 3.40.2 r36h01d97ff_0 bioconda bioconductor-lpsymphony 1.12.0 r36h6de7cb9_1 bioconda bioconductor-metagenomeseq 1.26.2 r36_0 bioconda bioconductor-multtest 2.40.0 r36h01d97ff_1 bioconda bioconductor-philr 1.10.0 r36_1 bioconda bioconductor-phyloseq 1.28.0 r36_1 bioconda bioconductor-preprocesscore 1.46.0 r36h01d97ff_1 bioconda bioconductor-rhdf5 2.28.0 r36h6de7cb9_1 bioconda bioconductor-rhdf5lib 1.6.0 r36h01d97ff_1 bioconda bioconductor-s4vectors 0.22.0 r36h01d97ff_1 bioconda bioconductor-treeio 1.8.1 r36_0 bioconda bioconductor-wrench 1.2.0 r36_1 bioconda bioconductor-xvector 0.24.0 r36h01d97ff_1 bioconda bioconductor-zlibbioc 1.30.0 r36h01d97ff_1 bioconda biom-format 2.1.7 py36h917ab60_1002 conda-forge biopython 1.74 py36h01d97ff_0 conda-forge bleach 3.1.0 pypi_0 pypi bokeh 1.3.4 py36_0 conda-forge bwidget 1.9.11 0 conda-forge bzip2 1.0.8 h01d97ff_1 conda-forge ca-certificates 2019.9.11 hecc5488_0 conda-forge cachecontrol 0.12.5 py_0 conda-forge cairo 1.16.0 h0ab9d94_1001 conda-forge cctools 895 1 conda-forge certifi 2016.9.26 py36_0 conda-forge clang 4.0.1 1 conda-forge clang_osx-64 4.0.1 h1ce6c1d_17 conda-forge clangxx 4.0.1 1 conda-forge clangxx_osx-64 4.0.1 h22b1bf0_17 conda-forge click 7.0 py_0 conda-forge cloudpickle 1.2.2 pypi_0 pypi compiler-rt 4.0.1 hcfea43d_1 curl 7.65.3 ha441bb4_0 cycler 0.10.0 py_1 conda-forge cython 0.29.13 py36h6de7cb9_0 conda-forge dask 2.4.0 pypi_0 pypi dbus 1.13.6 h2f22bb5_0 conda-forge decorator 4.4.0 py_0 conda-forge defusedxml 0.6.0 pypi_0 pypi docopt 0.6.2 pypi_0 pypi entrypoints 0.3 pypi_0 pypi et-xmlfile 1.0.1 pypi_0 pypi ete3 3.1.1 py36_0 bioconda expat 2.2.5 h6de7cb9_1003 conda-forge fastcluster 1.1.25 py36h1702cab_1000 conda-forge fontconfig 2.13.1 h1027ab8_1000 conda-forge freetype 2.10.0 h24853df_1 conda-forge fribidi 1.0.5 h01d97ff_1002 conda-forge fsspec 0.5.1 pypi_0 pypi future 0.17.1 py36_1000 conda-forge gettext 0.19.8.1 h46ab8bc_1002 conda-forge gfortran_osx-64 4.8.5 h22b1bf0_8 conda-forge glib 2.58.3 h9d45998_1002 conda-forge gneiss 0.4.5 py_0 bioconda graphite2 1.3.13 h2098e52_1000 conda-forge graphviz 2.38.0 hc6cc99f_1011 conda-forge gsl 2.4 ha2d443c_1006 conda-forge harfbuzz 2.4.0 h92b87b8_1 conda-forge hdmedians 0.13 py36heacc8b8_1001 conda-forge heapdict 1.0.1 pypi_0 pypi icu 58.2 h0a44026_1000 conda-forge imageio 2.5.0 pypi_0 pypi importlib_metadata 0.23 py36_0 conda-forge ipykernel 5.1.2 pypi_0 pypi ipython 7.8.0 py36h5ca1d4c_0 conda-forge ipython_genutils 0.2.0 py_1 conda-forge jdcal 1.4.1 pypi_0 pypi jedi 0.15.1 py36_0 conda-forge jinja2 2.10.1 py_0 conda-forge joblib 0.13.2 py_0 conda-forge jpeg 9c h1de35cc_1001 conda-forge json5 0.8.5 pypi_0 pypi jsonschema 3.0.2 pypi_0 pypi jupyter-client 5.3.3 pypi_0 pypi jupyter-core 4.5.0 pypi_0 pypi jupyterlab 1.1.4 pypi_0 pypi jupyterlab-server 1.0.6 pypi_0 pypi kiwisolver 1.1.0 py36h770b8ee_0 conda-forge krb5 1.16.1 hddcf347_7 ld64 274.2 1 libblas 3.8.0 12_openblas conda-forge libcblas 3.8.0 12_openblas conda-forge libcurl 7.65.3 h051b688_0 libcxx 4.0.1 hcfea43d_1 conda-forge libcxxabi 4.0.1 hcfea43d_1 conda-forge libedit 3.1.20181209 hb402a30_0 libffi 3.2.1 h475c297_4 libgfortran 3.0.1 0 conda-forge libiconv 1.15 h01d97ff_1005 conda-forge liblapack 3.8.0 12_openblas conda-forge libopenblas 0.3.7 hd44dcd8_1 conda-forge libpng 1.6.37 h2573ce8_0 conda-forge libssh2 1.8.2 hcdc9a53_2 conda-forge libtiff 4.0.10 hd08fb8f_1003 conda-forge libxcb 1.13 h1de35cc_1002 conda-forge libxml2 2.9.9 hd80cff7_2 conda-forge libxslt 1.1.33 h33a18ac_0 llvm 4.0.1 1 conda-forge llvm-lto-tapi 4.0.1 1 conda-forge llvm-openmp 9.0.0 h40edb58_0 conda-forge llvmlite 0.29.0 pypi_0 pypi locket 0.2.0 pypi_0 pypi lockfile 0.12.2 py_1 conda-forge lxml 4.4.1 py36h08abf6f_0 conda-forge lz4-c 1.8.3 h6de7cb9_1001 conda-forge make 4.2.1 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pytest-remotedata 0.3.1 py_0 conda-forge python 3.6.9 h359304d_0 python-dateutil 2.8.0 py_0 conda-forge python-louvain 0.13 pypi_0 pypi python-ternary 1.0.6 py_0 conda-forge pytz 2019.2 py_0 conda-forge pywavelets 1.0.3 pypi_0 pypi pyyaml 5.1.2 py36h01d97ff_0 conda-forge pyzmq 18.1.0 pypi_0 pypi qt 5.9.7 h93ee506_2 conda-forge r-acepack 1.4.1 r36haf69682_1004 conda-forge r-ade4 1.7_13 r36h159158b_1001 conda-forge r-ape 5.3 r36hf99fc2c_1 conda-forge r-askpass 1.0 r36h1de35cc_0 r r-assertthat 0.2.1 r36h6115d3f_0 r r-backports 1.1.4 r36h46e59ec_0 r r-base 3.6.1 hcb44179_0 r r-base64enc 0.1_3 r36h159158b_1003 conda-forge r-bh 1.69.0_1 r36h6115d3f_0 r r-bit 1.1_14 r36h46e59ec_0 r r-bit64 0.9_7 r36h46e59ec_0 r r-bitops 1.0_6 r36h159158b_1003 conda-forge r-blob 1.1.1 r36h6115d3f_0 r r-callr 3.2.0 r36h6115d3f_0 r r-catools 1.17.1.2 r36hf99fc2c_1 conda-forge r-checkmate 1.9.4 r36h159158b_1 conda-forge r-cli 1.1.0 r36h6115d3f_0 r r-clipr 0.6.0 r36h6115d3f_0 r r-clisymbols 1.2.0 r36h6115d3f_0 r r-cluster 2.1.0 r36haf69682_2 conda-forge r-codetools 0.2_16 r36h6115d3f_1001 conda-forge r-colorspace 1.4_1 r36h159158b_1 conda-forge r-crayon 1.3.4 r36h6115d3f_0 r r-curl 3.3 r36h46e59ec_0 r r-data.table 1.12.2 r36h159158b_1 conda-forge r-dbi 1.0.0 r36h6115d3f_0 r r-dbplyr 1.4.0 r36h6115d3f_0 r r-deoptimr 1.0_8 r36h6115d3f_1002 conda-forge r-desc 1.2.0 r36h6115d3f_0 r r-devtools 2.0.2 r36h6115d3f_0 r r-digest 0.6.18 r36h46e59ec_0 r r-doparallel 1.0.15 r36h6115d3f_0 conda-forge r-dplyr 0.8.0.1 r36h466af19_0 r r-dynamictreecut 1.63_1 r36h6115d3f_1002 conda-forge r-evaluate 0.14 r36h6115d3f_1 conda-forge r-fansi 0.4.0 r36h46e59ec_0 r r-fastcluster 1.1.25 r36ha90c164_1002 conda-forge r-fastmatch 1.1_0 r36h159158b_1004 conda-forge r-fdrtool 1.2.15 r36h159158b_1002 conda-forge r-fit.models 0.5_14 r36h6115d3f_1002 conda-forge r-foreach 1.4.7 r36h6115d3f_0 conda-forge r-foreign 0.8_72 r36h159158b_0 conda-forge r-formula 1.2_3 r36h6115d3f_1002 conda-forge r-fs 1.2.7 r36h466af19_0 r r-gdata 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