conda-forge / jupyterlab-feedstock Goto Github PK
View Code? Open in Web Editor NEWA conda-smithy repository for jupyterlab.
License: BSD 3-Clause "New" or "Revised" License
A conda-smithy repository for jupyterlab.
License: BSD 3-Clause "New" or "Revised" License
version 0.0.13 does not seem to work for me on macOS.
jupyter lab
fires up the browser, but does not load jupyterlab.
I get following error in both Safari and Chrome:
bundle.js:12586 Uncaught (in promise) Error: No registered provider for type: DocumentRegistry. Provider resolution path: .
at missingProviderError (http://localhost:8889/lab/bundle.js:12586:17)
at Object.resolveService (http://localhost:8889/lab/bundle.js:12535:36)
at ServiceRegistry.resolveService (http://localhost:8889/lab/bundle.js:12441:25)
at http://localhost:8889/lab/bundle.js:12284:75
at Array.map (native)
at ExtensionRegistry.activateExtension (http://localhost:8889/lab/bundle.js:12284:38)
at Application.activateExtension (http://localhost:8889/lab/bundle.js:362:34)
at http://localhost:8889/lab/bundle.js:431:73
at Array.map (native)
at http://localhost:8889/lab/bundle.js:431:40
Upstream defined jupyterlab_server>=2.27.1,<3"
, recipe defines:
jupyterlab-feedstock/recipe/meta.yaml
Line 38 in d79f782
See jupyterlab/jupyterlab#16317
-
-
No response
Following recommendations from https://github.com/conda-forge/cfep/blob/master/cfep-05.md, we should change https://github.com/conda-forge/jupyterlab-feedstock/blob/prerelease/recipe/conda_build_config.yaml to refer to the jupyterlab_dev
or jupyterlab_rc
channels (or perhaps create two different branches, one for dev and one for rc). I think we should do this after 2.0 is released so we don't break the prerelease workflow for 2.0.
For some reason, conda is picking up version 5.2.2 of notebook, instead of 5.3 which supports terminals on Windows. This is when installing jlab 0.31.0
Issue: running jupyter lab
fails to start with the following error
FileNotFoundError: [Errno 2] No such file or directory: 'C:\\....\\Miniconda3\\envs\\jupyterlab\\lib\\site-packages\\jupyterlab\\staging\\package.json'
conda list
):
$ conda list
# Name Version Build Channel
backcall 0.1.0 py_0 conda-forge
certifi 2018.4.16 py36_0 conda-forge
colorama 0.4.1 py_0 conda-forge
decorator 4.3.2 py_0 conda-forge
entrypoints 0.2.3 py36_1 conda-forge
ipykernel 5.1.0 pyh24bf2e0_0 conda-forge
ipython 6.3.1 py36_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
jedi 0.12.0 py36_0 conda-forge
jinja2 2.10 py_1 conda-forge
jsonschema 2.6.0 py36_1 conda-forge
jupyter_client 5.2.4 py_1 conda-forge
jupyter_core 4.4.0 py_0 conda-forge
jupyterlab 0.32.0 py36_0 conda-forge
jupyterlab_launcher 0.10.5 py36_0 conda-forge
libsodium 1.0.16 vc14_0 conda-forge
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.0 py36_0 conda-forge
mistune 0.8.3 py_0 conda-forge
msys2-conda-epoch 20160418 1
nbconvert 5.3.1 py_1 conda-forge
nbformat 4.4.0 py_1 conda-forge
notebook 5.4.1 py36_0 conda-forge
pandoc 2.1.3 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.3.2 py_0 conda-forge
pickleshare 0.7.4 py36_0 conda-forge
pip 10.0.1 py36_0 conda-forge
prompt_toolkit 1.0.15 py_1 conda-forge
pygments 2.3.1 py_0 conda-forge
python 3.6.5 1 conda-forge
python-dateutil 2.7.5 py_0 conda-forge
pywinpty 0.5.2 py36_1 conda-forge
pyzmq 17.0.0 py36_4 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 39.0.1 py36_0 conda-forge
simplegeneric 0.8.1 py_1 conda-forge
six 1.11.0 py36_1 conda-forge
terminado 0.8.1 py36_0 conda-forge
testpath 0.3.1 py36_0 conda-forge
tornado 5.0.2 py36_0 conda-forge
traitlets 4.3.2 py36_0 conda-forge
vc 14 0 conda-forge
vs2015_runtime 14.0.25420 0 conda-forge
wcwidth 0.1.7 py_1 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.31.0 py36_0 conda-forge
wincertstore 0.2 py36_0 conda-forge
winpty 0.4.3 4 conda-forge
zeromq 4.2.5 vc14_2 conda-forge
conda
and system ( conda info
):
$ conda info
active environment : jupyterlab
active env location : C:\Users\zbynek\Miniconda3\envs\jupyterlab
shell level : 1
user config file : C:\Users\zbynek\.condarc
populated config files : C:\Users\zbynek\.condarc
conda version : 4.6.1
conda-build version : not installed
python version : 3.7.2.final.0
base environment : C:\Users\zbynek\Miniconda3 (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/win-32
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/win-32
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/win-32
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-32
https://repo.anaconda.com/pkgs/msys2/noarch
https://conda.anaconda.org/conda-forge/win-32
https://conda.anaconda.org/conda-forge/noarch
package cache : C:\Users\zbynek\Miniconda3\pkgs
C:\Users\zbynek\.conda\pkgs
C:\Users\zbynek\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\zbynek\Miniconda3\envs
C:\Users\zbynek\.conda\envs
C:\Users\zbynek\AppData\Local\conda\conda\envs
platform : win-32
user-agent : conda/4.6.1 requests/2.21.0 CPython/3.7.2 Windows/10 Windows/10.0.17134
administrator : False
netrc file : None
offline mode : False
No response
Hi @conda-forge/jupyterlab! This is the friendly automated conda-forge-webservice!
It appears that one or more of your feedstock's outputs did not copy from the
staging channel (cf-staging) to the production channel (conda-forge). :(
This failure can happen for a lot of reasons, including an outdated feedstock
token. Below we have put some information about the failure to help you debug it.
Rerendering the feedstock will usually fix these problems.
If you have any issues or questions, you can find us on gitter in the
community chat room or you can bump us right here.
error messages:
No response
Since april 30, 2023, with Mac OS X 10.14.6 and jupyter installed from conda-forge, I cannot start anymore jupyter lab
nor jupyter notebook
; I get Segmentation fault: 11
.
Other users report the same issue at:
# Name Version Build Channel
alabaster 0.7.13 pyhd8ed1ab_0 conda-forge
anaconda-clean 1.1.0 py39hecd8cb5_1
anyio 3.6.2 pyhd8ed1ab_0 conda-forge
appnope 0.1.3 pyhd8ed1ab_0 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py39ha30fb19_3 conda-forge
asttokens 2.2.1 pyhd8ed1ab_0 conda-forge
async-lru 2.0.2 pyhd8ed1ab_0 conda-forge
attrs 23.1.0 pyh71513ae_1 conda-forge
babel 2.12.1 pyhd8ed1ab_1 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_3 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.12.2 pyha770c72_0 conda-forge
bleach 6.0.0 pyhd8ed1ab_0 conda-forge
boltons 23.0.0 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 hb7f2c08_8 conda-forge
brotli-bin 1.0.9 hb7f2c08_8 conda-forge
bzip2 1.0.8 h0d85af4_4 conda-forge
c-ares 1.19.1 h0dc2134_0 conda-forge
ca-certificates 2023.5.7 h8857fd0_0 conda-forge
certifi 2023.5.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py39h131948b_3 conda-forge
charset-normalizer 3.1.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
comm 0.1.3 pyhd8ed1ab_0 conda-forge
conda 23.3.1 py39h6e9494a_0 conda-forge
conda-package-handling 2.0.2 pyh38be061_0 conda-forge
conda-package-streaming 0.7.0 pyhd8ed1ab_1 conda-forge
cryptography 40.0.2 py39hbeae22c_0 conda-forge
debugpy 1.6.7 py39h7a8716b_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
docutils 0.17.1 py39h6e9494a_2 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
et_xmlfile 1.1.0 pyhd8ed1ab_0 conda-forge
executing 1.2.0 pyhd8ed1ab_0 conda-forge
flit-core 3.9.0 pyhd8ed1ab_0 conda-forge
fmt 9.1.0 hb8565cd_0 conda-forge
freetype 2.12.1 h3f81eb7_1 conda-forge
icu 70.1 h96cf925_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
imagesize 1.4.1 pyhd8ed1ab_0 conda-forge
importlib-metadata 6.6.0 pyha770c72_0 conda-forge
importlib_metadata 6.6.0 hd8ed1ab_0 conda-forge
importlib_resources 5.12.0 pyhd8ed1ab_0 conda-forge
ipycanvas 0.13.1 pyhd8ed1ab_0 conda-forge
ipykernel 6.23.1 pyh736e0ef_0 conda-forge
ipython 8.13.2 pyhd1c38e8_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 8.0.2 pyhd8ed1ab_1 conda-forge
jedi 0.18.2 pyhd8ed1ab_0 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
json5 0.9.5 pyh9f0ad1d_0 conda-forge
jsonpatch 1.32 pyhd8ed1ab_0 conda-forge
jsonpointer 2.0 py_0 conda-forge
jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge
jupyter-lsp 2.1.0 pyhd8ed1ab_0 conda-forge
jupyter_client 8.2.0 pyhd8ed1ab_0 conda-forge
jupyter_core 5.3.0 py39h6e9494a_0 conda-forge
jupyter_events 0.6.3 pyhd8ed1ab_0 conda-forge
jupyter_server 2.5.0 pyhd8ed1ab_0 conda-forge
jupyter_server_terminals 0.4.4 pyhd8ed1ab_1 conda-forge
jupyterlab 4.0.0 pyhd8ed1ab_1 conda-forge
jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge
jupyterlab_server 2.22.1 pyhd8ed1ab_0 conda-forge
jupyterlab_widgets 3.0.7 pyhd8ed1ab_1 conda-forge
krb5 1.20.1 h049b76e_0 conda-forge
lcms2 2.15 h2dcdeff_1 conda-forge
lerc 4.0.0 hb486fe8_0 conda-forge
libarchive 3.6.2 h6d8d9f1_0 conda-forge
libblas 3.9.0 16_osx64_openblas conda-forge
libbrotlicommon 1.0.9 hb7f2c08_8 conda-forge
libbrotlidec 1.0.9 hb7f2c08_8 conda-forge
libbrotlienc 1.0.9 hb7f2c08_8 conda-forge
libcblas 3.9.0 16_osx64_openblas conda-forge
libcurl 7.88.1 h6df9250_1 conda-forge
libcxx 16.0.4 hd57cbcb_0 conda-forge
libdeflate 1.18 hac1461d_0 conda-forge
libedit 3.1.20191231 h0678c8f_2 conda-forge
libev 4.33 haf1e3a3_1 conda-forge
libffi 3.4.2 h0d85af4_5 conda-forge
libgfortran 5.0.0 11_3_0_h97931a8_31 conda-forge
libgfortran5 12.2.0 he409387_31 conda-forge
libiconv 1.17 hac89ed1_0 conda-forge
libjpeg-turbo 2.1.5.1 hb7f2c08_0 conda-forge
liblapack 3.9.0 16_osx64_openblas conda-forge
libmamba 1.3.1 h9d281b0_1 conda-forge
libmambapy 1.3.1 py39he664332_1 conda-forge
libnghttp2 1.52.0 he2ab024_0 conda-forge
libopenblas 0.3.21 openmp_h429af6e_3 conda-forge
libpng 1.6.39 ha978bb4_0 conda-forge
libsodium 1.0.18 hbcb3906_1 conda-forge
libsolv 0.7.23 hbc0c0cd_0 conda-forge
libsqlite 3.42.0 h58db7d2_0 conda-forge
libssh2 1.10.0 h47af595_3 conda-forge
libtiff 4.5.0 hedf67fa_6 conda-forge
libuv 1.44.2 hac89ed1_0 conda-forge
libwebp-base 1.3.0 hb7f2c08_0 conda-forge
libxcb 1.15 hb7f2c08_0 conda-forge
libxml2 2.10.3 h201ad9d_4 conda-forge
libzlib 1.2.13 hfd90126_4 conda-forge
llvm-openmp 16.0.4 hff08bdf_0 conda-forge
lz4-c 1.9.4 hf0c8a7f_0 conda-forge
lzo 2.10 haf1e3a3_1000 conda-forge
mamba 1.3.1 py39h412838c_1 conda-forge
markupsafe 2.1.2 py39ha30fb19_0 conda-forge
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
mistune 2.0.5 pyhd8ed1ab_0 conda-forge
nbclassic 1.0.0 pyhb4ecaf3_1 conda-forge
nbclient 0.7.4 pyhd8ed1ab_0 conda-forge
nbconvert 7.3.1 pyhd8ed1ab_0 conda-forge
nbconvert-core 7.3.1 pyhd8ed1ab_0 conda-forge
nbconvert-pandoc 7.3.1 pyhd8ed1ab_0 conda-forge
nbformat 5.8.0 pyhd8ed1ab_0 conda-forge
nbstripout 0.5.0 pyhd8ed1ab_0 conda-forge
ncurses 6.3 h96cf925_1 conda-forge
nest-asyncio 1.5.6 pyhd8ed1ab_0 conda-forge
nodejs 18.12.1 hd0c9b3c_0 conda-forge
notebook 6.5.4 pyha770c72_0 conda-forge
notebook-shim 0.2.3 pyhd8ed1ab_0 conda-forge
numpy 1.24.3 py39h892e69a_0 conda-forge
openjpeg 2.5.0 h13ac156_2 conda-forge
openpyxl 3.0.9 pyhd3eb1b0_0
openssl 3.1.0 h8a1eda9_3 conda-forge
packaging 23.1 pyhd8ed1ab_0 conda-forge
pandas 1.5.3 py39hecff1ad_0 conda-forge
pandoc 2.19.2 h694c41f_1 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
pexpect 4.8.0 pyh1a96a4e_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.5.0 py39he6683de_1 conda-forge
pip 23.1.2 pyhd8ed1ab_0 conda-forge
pkgutil-resolve-name 1.3.10 pyhd8ed1ab_0 conda-forge
platformdirs 3.5.1 pyhd8ed1ab_0 conda-forge
pluggy 1.0.0 pyhd8ed1ab_5 conda-forge
prometheus_client 0.16.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.38 pyha770c72_0 conda-forge
prompt_toolkit 3.0.38 hd8ed1ab_0 conda-forge
psutil 5.9.5 py39ha30fb19_0 conda-forge
pthread-stubs 0.4 hc929b4f_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pybind11-abi 4 hd8ed1ab_3 conda-forge
pycosat 0.6.4 py39ha30fb19_1 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pygments 2.15.1 pyhd8ed1ab_0 conda-forge
pyobjc-core 9.1.1 py39h0504f80_0 conda-forge
pyobjc-framework-cocoa 9.1.1 py39h0504f80_0 conda-forge
pyopenssl 23.1.1 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyrsistent 0.19.3 py39ha30fb19_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.9.12 h1cc4136_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.17.1 pyhd8ed1ab_0 conda-forge
python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge
python.app 3 py39hca72f7f_0
python_abi 3.9 3_cp39 conda-forge
pytz 2023.3 pyhd8ed1ab_0 conda-forge
pyyaml 6.0 py39ha30fb19_5 conda-forge
pyzmq 25.0.2 py39hed8f129_0 conda-forge
readline 8.2 h9e318b2_1 conda-forge
reproc 14.2.4 hb7f2c08_0 conda-forge
reproc-cpp 14.2.4 hf0c8a7f_0 conda-forge
requests 2.31.0 pyhd8ed1ab_0 conda-forge
rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge
rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge
rise 5.7.1 py39h6e9494a_2 conda-forge
ruamel.yaml 0.17.26 py39hdc70f33_0 conda-forge
ruamel.yaml.clib 0.2.7 py39ha30fb19_1 conda-forge
send2trash 1.8.2 pyhd1c38e8_0 conda-forge
setuptools 67.7.2 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sniffio 1.3.0 pyhd8ed1ab_0 conda-forge
snowballstemmer 2.2.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge
sphinx 4.4.0 pyhd3eb1b0_0
sphinxcontrib-applehelp 1.0.4 pyhd8ed1ab_0 conda-forge
sphinxcontrib-devhelp 1.0.2 py_0 conda-forge
sphinxcontrib-htmlhelp 2.0.1 pyhd8ed1ab_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.3 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_2 conda-forge
sqlite 3.42.0 h2b0dec6_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
terminado 0.17.1 pyhd1c38e8_0 conda-forge
tinycss2 1.2.1 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h5dbffcc_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
tornado 6.3.2 py39hdc70f33_0 conda-forge
tqdm 4.65.0 pyhd8ed1ab_1 conda-forge
traitlets 5.9.0 pyhd8ed1ab_0 conda-forge
typing-extensions 4.5.0 hd8ed1ab_0 conda-forge
typing_extensions 4.5.0 pyha770c72_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
urllib3 2.0.2 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.6 pyhd8ed1ab_0 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 1.5.2 pyhd8ed1ab_0 conda-forge
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
widgetsnbextension 4.0.3 pyhd8ed1ab_0 conda-forge
xorg-libxau 1.0.11 h0dc2134_0 conda-forge
xorg-libxdmcp 1.1.3 h35c211d_0 conda-forge
xz 5.2.6 h775f41a_0 conda-forge
yaml 0.2.5 h0d85af4_2 conda-forge
yaml-cpp 0.7.0 hf0c8a7f_2 conda-forge
zeromq 4.3.4 he49afe7_1 conda-forge
zipp 3.15.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hfd90126_4 conda-forge
zstandard 0.19.0 py39h5bcbcff_1 conda-forge
zstd 1.5.2 hbc0c0cd_6 conda-forge
active environment : base
active env location : /Users/gibus/miniconda3
shell level : 1
user config file : /Users/gibus/.condarc
populated config files : /Users/gibus/.condarc
conda version : 23.3.1
conda-build version : not installed
python version : 3.9.12.final.0
virtual packages : __archspec=1=x86_64
__osx=10.14.6=0
__unix=0=0
base environment : /Users/gibus/miniconda3 (writable)
conda av data dir : /Users/gibus/miniconda3/etc/conda
conda av metadata url : None
channel URLs : 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
package cache : /Users/gibus/miniconda3/pkgs
/Users/gibus/.conda/pkgs
envs directories : /Users/gibus/miniconda3/envs
/Users/gibus/.conda/envs
platform : osx-64
user-agent : conda/23.3.1 requests/2.31.0 CPython/3.9.12 Darwin/18.7.0 OSX/10.14.6
UID:GID : 503:20
netrc file : None
offline mode : False
Issue:
We recently ran into the following warning when installing dask-labextension
.
Your current version of Yarn is out of date. The latest version is "1.13.0", while you're on "1.9.4".
conda list
):
$ conda list
# packages in environment at /usr/local/anaconda3/5.3.1:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.11 py37_0
alembic 0.9.9 py_0 conda-forge
anaconda 5.3.1 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.2 py37_0
anaconda-project 0.8.2 py37_0
appdirs 1.4.3 py37h28b3542_0
asn1crypto 0.24.0 py37_0
astroid 2.0.4 py37_0
astropy 3.0.4 py37h14c3975_0
async_generator 1.10 py_0 conda-forge
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
automat 0.7.0 py37_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37h14c3975_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 2.1.4 py37_0
blosc 1.14.4 hdbcaa40_0
bokeh 1.0.2 py37_1000 conda-forge
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h035aef0_1
bzip2 1.0.6 h14c3975_5
ca-certificates 2018.11.29 ha4d7672_0 conda-forge
cairo 1.14.12 h8948797_3
certifi 2018.11.29 py37_1000 conda-forge
cffi 1.11.5 py37he75722e_1
chardet 3.0.4 py37_1
click 6.7 py37_0
cloudpickle 0.5.5 py37_0
clyent 1.2.2 py37_1
colorama 0.3.9 py37_0
conda 4.5.12 py37_1000 conda-forge
conda-build 3.15.1 py37_0
conda-env 2.6.0 1
configurable-http-proxy 1.3.0 0 conda-forge
constantly 15.1.0 py37h28b3542_0
contextlib2 0.5.5 py37_0
cryptography 2.3.1 py37hb7f436b_1000 conda-forge
curl 7.63.0 h646f8bb_1000 conda-forge
cycler 0.10.0 py37_0
cython 0.28.5 py37hf484d3e_0
cytoolz 0.9.0.1 py37h14c3975_1
dask 1.1.0 py_1 conda-forge
dask-core 1.1.0 py_0 conda-forge
dask-jobqueue 0.4.1 py_0 conda-forge
dask-labextension 0.3.1 <pip>
datashape 0.5.4 py37_1
dbus 1.13.2 h714fa37_1
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.25.2 py37_1000 conda-forge
docrep 0.2.5 py_0 conda-forge
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
expat 2.2.6 he6710b0_0
fastcache 1.0.2 py37h14c3975_2
filelock 3.0.8 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.6 py37_0
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
get_terminal_size 1.0.0 haa9412d_0
gettext 0.19.8.1 h9745a5d_1001 conda-forge
gevent 1.3.6 py37h7b6447c_0
glances 3.0.2 py_0 conda-forge
glib 2.56.2 hd408876_0
glob2 0.6 py37_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.12 h23475e2_2
graphviz 2.38.0 hcf1ce16_1009 conda-forge
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.8.0 py37h989c5e5_3
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.2 hba1933b_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
hyperlink 18.0.0 py37_0
icu 58.2 h9c2bf20_1
idna 2.7 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
incremental 17.5.0 py37_0
intel-openmp 2019.0 118
ipykernel 4.9.0 py37_1
ipython 6.5.0 py37_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.1 py37_0
isort 4.3.4 py37_0
itsdangerous 0.24 py37_1
jbig 2.1 hdba287a_0
jdcal 1.4 py37_0
jedi 0.12.1 py37_0
jeepney 0.3.1 py37_0
jinja2 2.10 py37_0
jpeg 9c h14c3975_1001 conda-forge
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.3 py37_0
jupyter_console 5.2.0 py37_1
jupyter_core 4.4.0 py37_0
jupyterhub 0.9.4 py37_1000 conda-forge
jupyterlab 0.35.4 py37_0 conda-forge
jupyterlab_launcher 0.13.1 py37_0
jupyterlab_server 0.2.0 py_0 conda-forge
keyring 13.2.1 py37_0
kiwisolver 1.0.1 py37hf484d3e_0
krb5 1.16.2 hc83ff2d_1000 conda-forge
lazy-object-proxy 1.3.1 py37h14c3975_2
libcurl 7.63.0 h01ee5af_1000 conda-forge
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libgfortran-ng 7.3.0 hdf63c60_0
libpng 1.6.36 hbc83047_0
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h1ad7b7a_1003 conda-forge
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.0.9 he85c1e1_2
libtool 2.4.6 h544aabb_3
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.8 h26e45fe_1
libxslt 1.1.32 h1312cb7_0
llvmlite 0.24.0 py37hdbcaa40_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hefd8a0e_0
lzo 2.10 h49e0be7_2
mako 1.0.7 py_1 conda-forge
markupsafe 1.0 py37h14c3975_1
matplotlib 2.2.3 py37hb69df0a_0
mccabe 0.6.1 py37_1
mistune 0.8.3 py37h14c3975_1
mkl 2019.1 144
mkl-service 1.1.2 py37h90e4bf4_5
mkl_fft 1.0.6 py37hd81dba3_0
mkl_random 1.0.2 py37hd81dba3_0
more-itertools 4.3.0 py37_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.0.0 py37_2
msgpack-python 0.5.6 py37h6bb024c_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
nbserverproxy 0.8.8 py_1000 conda-forge
ncurses 6.1 hf484d3e_0
networkx 2.1 py37_0
nltk 3.3.0 py37_0
nodejs 11.7.0 hf484d3e_0 conda-forge
nose 1.3.7 py37_2
notebook 5.7.4 py37_1000 conda-forge
numba 0.39.0 py37h04863e7_0
numexpr 2.6.8 py37hd89afb7_0
numpy 1.15.4 py37h7e9f1db_0
numpy-base 1.15.4 py37hde5b4d6_0
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py37_0
openpyxl 2.5.6 py37_0
openssl 1.0.2p h14c3975_1002 conda-forge
packaging 17.1 py37_0
pamela 1.0.0 py_0 conda-forge
pandas 0.23.4 py37hf8a1672_0 conda-forge
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py37_1
pango 1.40.14 he752989_2 conda-forge
parso 0.3.1 py37_0
partd 0.3.8 py37_0
patchelf 0.9 hf484d3e_2
path.py 11.1.0 py37_0
pathlib2 2.3.2 py37_0
patsy 0.5.0 py37_0
pcre 8.42 h439df22_0
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.4 py37_0
pillow 5.2.0 py37heded4f4_0
pip 10.0.1 py37_0
pixman 0.34.0 hceecf20_3
pkginfo 1.4.2 py37_1
pluggy 0.7.1 py37h28b3542_0
ply 3.11 py37_0
prometheus_client 0.3.1 py37h28b3542_0
prompt_toolkit 1.0.15 py37_0
psutil 5.4.7 py37h14c3975_0
ptyprocess 0.6.0 py37_0
py 1.6.0 py37_0
pyasn1 0.4.4 py37h28b3542_0
pyasn1-modules 0.2.2 py37_0
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37h14c3975_0
pycparser 2.18 py37_1
pycrypto 2.6.1 py37h14c3975_9
pycurl 7.43.0.2 py37hb7f436b_0
pyflakes 2.0.0 py37_0
pygments 2.2.0 py37_0
PyHamcrest 1.9.0 <pip>
pylint 2.1.1 py37_0
pyodbc 4.0.24 py37he6710b0_0
pyopenssl 18.0.0 py37_0
pyparsing 2.2.0 py37_1
pyqt 5.9.2 py37h05f1152_2
pysocks 1.6.8 py37_0
pytables 3.4.4 py37ha205bf6_0
pytest 3.8.0 py37_0
pytest-arraydiff 0.2 py37h39e3cac_0
pytest-astropy 0.4.0 py37_0
pytest-doctestplus 0.1.3 py37_0
pytest-openfiles 0.3.0 py37_0
pytest-remotedata 0.3.0 py37_0
python 3.7.1 hd21baee_1000 conda-forge
python-dateutil 2.7.3 py37_0
python-editor 1.0.3 py_0 conda-forge
python-graphviz 0.8.4 py37_1002 conda-forge
python-oauth2 1.1.0 py37h28b3542_1
pytz 2018.5 py37_0
pywavelets 1.0.0 py37hdd07704_0
pyyaml 3.13 py37h14c3975_0
pyzmq 17.1.2 py37h14c3975_0
qt 5.9.6 h8703b6f_2
qtawesome 0.4.4 py37_0
qtconsole 4.4.1 py37_0
qtpy 1.5.0 py37_0
readline 7.0 h7b6447c_5
requests 2.19.1 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37h14c3975_0
scikit-image 0.14.0 py37hf484d3e_1
scikit-learn 0.19.2 py37h4989274_0
scipy 1.1.0 py37hfa4b5c9_1
seaborn 0.9.0 py37_0
secretstorage 3.1.0 py37_0
send2trash 1.5.0 py37_0
service_identity 17.0.0 py37h28b3542_0
setuptools 40.2.0 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37hf484d3e_0
six 1.11.0 py37_1
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.0.5 py37_0
sphinx 1.7.9 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.1 py37_1
spyder-kernels 0.2.6 py37_0
sqlalchemy 1.2.11 py37h7b6447c_0
sqlite 3.26.0 h7b6447c_0
statsmodels 0.9.0 py37h035aef0_0
sympy 1.2 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.3.1 py37_0
tk 8.6.8 hbc83047_0
toolz 0.9.0 py37_0
tornado 5.1 py37h14c3975_0
tqdm 4.26.0 py37h28b3542_0
traitlets 4.3.2 py37_0
twisted 18.7.0 py37h14c3975_1
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.23 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.31.1 py37_0
widgetsnbextension 3.4.1 py37_0
wrapt 1.10.11 py37h14c3975_2
xlrd 1.1.0 py37_1
xlsxwriter 1.1.0 py37_0
xlwt 1.3.0 py37_0
xorg-kbproto 1.0.7 h14c3975_1002 conda-forge
xorg-libice 1.0.9 h14c3975_1004 conda-forge
xorg-libsm 1.2.2 h470a237_5 conda-forge
xorg-libx11 1.6.6 h14c3975_1000 conda-forge
xorg-libxext 1.3.3 h14c3975_1004 conda-forge
xorg-libxpm 3.5.12 h14c3975_1002 conda-forge
xorg-libxrender 0.9.10 h14c3975_1002 conda-forge
xorg-libxt 1.1.5 h14c3975_1002 conda-forge
xorg-renderproto 0.11.1 h14c3975_1002 conda-forge
xorg-xextproto 7.3.0 h14c3975_1002 conda-forge
xorg-xproto 7.0.31 h14c3975_1007 conda-forge
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.2.5 hf484d3e_1
zict 0.1.3 py37_0
zlib 1.2.11 ha838bed_2
zope 1.0 py37_1
zope.interface 4.5.0 py37h14c3975_0
conda
and system ( conda info
):
$ conda info
active environment : base
active env location : /usr/local/anaconda3/5.3.1
shell level : 1
user config file : /mnt/nfs/home/user1/.condarc
populated config files :
conda version : 4.5.12
conda-build version : 3.15.1
python version : 3.7.1.final.0
base environment : /usr/local/anaconda3/5.3.1 (read only)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
package cache : /usr/local/anaconda3/5.3.1/pkgs
/mnt/nfs/home/user1/.conda/pkgs
envs directories : /mnt/nfs/home/user1/.conda/envs
/usr/local/anaconda3/5.3.1/envs
platform : linux-64
user-agent : conda/4.5.12 requests/2.19.1 CPython/3.7.1 Linux/3.10.0-693.17.1.el7.x86_64 centos/7 glibc/2.17
UID:GID : 1001:1001
netrc file : None
offline mode : False
According to the conda-forge docs, the LICENSE
file should only be in the feedstock if it is not distributed with the package. Since JupyterLab does distribute its license, can we remove it here?
https://conda-forge.org/docs/maintainer/adding_pkgs.html#about
No response
In the test requirements there's the following constraint on nodejs
. Am curious what the origin of this constraint is and what issues it is working around
jupyterlab-feedstock/recipe/meta.yaml
Lines 39 to 41 in 5992f06
No response
We had a discussion on gitter about publishing prereleases to a conda-forge/label/jupyterlab-prerelease
channel.
See the discussion for more details, but it looks like we should be able to do this with a recipe/conda_build_config.yaml
file like this example:
channel_sources:
- conda-forge/label/prerelease-jupyterlab,conda-forge,defaults
channel_targets:
- conda-forge prerelease-jupyterlab
Notes:
jupyterlab-prerelease
or prerelease-jupyterlab
, not just prerelease
. Also, there is no real convention for label name here, so we can make it up. Perhaps jupyterlab-dev
is better and easier to type? There is some usage of a plain rc
label (see the issue above).jupyterlab_server
to this same label, if they are in lockstepNo response
In #172, we publish a prerelease manually. It would be great if we could update that branch every time we had a prerelease (like every week or two). We could rever, or our own instance of the autotick bot, or just our own custom workflow in the release process.
Code for the bot is at https://github.com/regro/cf-scripts and it looks like https://github.com/regro/cf-scripts/blob/master/conda_forge_tick/migrators/version.py might a relevant file.
Right now, this command fails on windows:
> conda create -n jlabtutorial -c conda-forge --override-channels jupyterlab=1
Collecting package metadata (current_repodata.json): done
Solving environment: failed
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- jupyterlab=1 -> jupyterlab_server[version='>=1.0.0,<2.0.0'] -> jsonschema[version='>=3.0.1'] -> pyrsistent[version='>=0.14.0'] -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='>=1.1.1a,<1.1.2a'] -> vc=14
- jupyterlab=1 -> jupyterlab_server[version='>=1.0.0,<2.0.0'] -> jsonschema[version='>=3.0.1'] -> functools32
Current channels:
- https://conda.anaconda.org/conda-forge/win-64
- https://conda.anaconda.org/conda-forge/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
It seems that jsonschema is maybe the problem?
No response
No response
I received a warning message when removing a conda environment. Thought I would mention it here.
UM-404XFVH4:~ Ray$ conda remove --name cfa --all
Package plan for package removal in environment /Users/Ray/anaconda/envs/cfa:
The following packages will be REMOVED:
...
jupyter_client: 5.2.2-py36_0 conda-forge
jupyter_core: 4.4.0-py_0 conda-forge
jupyterlab: 0.31.8-py36_1 conda-forge
jupyterlab_launcher: 0.10.5-py36_0 conda-forge
...
WARNING conda.core.link:run_script(518): pre-unlink script failed for package conda-forge::jupyterlab-0.31.8-py36_1
consider notifying the package maintainer```
This is very possibly not an issue with this feedstock... but I am prevented from installing any jupyterlab
in a windows env with python>=3.7.0
.
Running on a lab master
binder:
conda info
active environment : notebook
active env location : /srv/conda/envs/notebook
shell level : 1
user config file : /home/jovyan/.condarc
populated config files : /srv/conda/.condarc
conda version : 4.8.2
conda-build version : not installed
python version : 3.7.6.final.0
virtual packages : __glibc=2.27
base environment : /srv/conda (writable)
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /srv/conda/pkgs
/home/jovyan/.conda/pkgs
envs directories : /srv/conda/envs
/home/jovyan/.conda/envs
platform : linux-64
user-agent : conda/4.8.2 requests/2.22.0 CPython/3.7.6 Linux/4.15.0-91-generic ubuntu/18.04.4 glibc/2.27
UID:GID : 1000:0
netrc file : None
offline mode : False
CONDA_SUBDIR=win-64 conda create --dry-run -n foo -c conda-forge jupyterlab 'python>=3.7'
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package python conflicts for:
jupyterlab -> jinja2[version='>=2.10'] -> python[version='>=3.8,<3.9.0a0']
jupyterlab -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.5|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|3.4.*']
python[version='>=3.7']
3.6 is fine:
CONDA_SUBDIR=win-64 conda create --dry-run -n foo -c conda-forge jupyterlab 'python>=3.6' Collecting package metadata (current_repodata.json): done Solving environment: done==> WARNING: A newer version of conda exists. <==
current version: 4.8.2
latest version: 4.8.3Please update conda by running
$ conda update -n base conda
Package Plan
environment location: /srv/conda/envs/foo
added / updated specs:
- jupyterlab
- python[version='>=3.6']The following packages will be downloaded:
package | build ---------------------------|----------------- attrs-19.3.0 | py_0 35 KB conda-forge backcall-0.1.0 | py_0 13 KB conda-forge bleach-3.1.4 | pyh9f0ad1d_0 111 KB conda-forge ca-certificates-2020.4.5.1 | hecc5488_0 184 KB conda-forge certifi-2020.4.5.1 | py36h9f0ad1d_0 151 KB conda-forge cffi-1.14.0 | py36ha419a9e_0 221 KB conda-forge chardet-3.0.4 |py36h9f0ad1d_1006 220 KB conda-forge colorama-0.4.3 | py_0 17 KB conda-forge cryptography-2.8 | py36hb32ad35_1 564 KB conda-forge decorator-4.4.2 | py_0 11 KB conda-forge defusedxml-0.6.0 | py_0 22 KB conda-forge entrypoints-0.3 |py36h9f0ad1d_1001 12 KB conda-forge idna-2.9 | py_1 52 KB conda-forge importlib-metadata-1.6.0 | py36h9f0ad1d_0 42 KB conda-forge importlib_metadata-1.6.0 | 0 3 KB conda-forge ipykernel-5.2.0 | py36h5ca1d4c_1 160 KB conda-forge ipython-7.13.0 | py36h9f0ad1d_2 1.1 MB conda-forge ipython_genutils-0.2.0 | py_1 21 KB conda-forge jedi-0.16.0 | py36h9f0ad1d_1 769 KB conda-forge jinja2-2.11.1 | py_0 94 KB conda-forge json5-0.9.0 | py_0 24 KB conda-forge jsonschema-3.2.0 | py36h9f0ad1d_1 107 KB conda-forge jupyter_client-6.1.2 | py_0 74 KB conda-forge jupyter_core-4.6.3 | py36h9f0ad1d_1 95 KB conda-forge jupyterlab-2.1.0 | py_0 5.8 MB conda-forge jupyterlab_server-1.1.0 | py_0 24 KB conda-forge libsodium-1.0.17 | h2fa13f4_0 602 KB conda-forge markupsafe-1.1.1 | py36h68a101e_1 28 KB conda-forge mistune-0.8.4 |py36hfa6e2cd_1000 53 KB conda-forge nbconvert-5.6.1 | py36_0 506 KB conda-forge nbformat-5.0.4 | py_0 98 KB conda-forge notebook-4.4.1 | py36_0 5.7 MB conda-forge openssl-1.1.1f | hfa6e2cd_0 4.7 MB conda-forge pandoc-2.9.2 | 0 29.2 MB conda-forge pandocfilters-1.4.2 | py_1 9 KB conda-forge parso-0.6.2 | py_0 66 KB conda-forge pickleshare-0.7.5 |py36h9f0ad1d_1001 12 KB conda-forge pip-20.0.2 | py_2 1.0 MB conda-forge prompt-toolkit-3.0.5 | py_0 232 KB conda-forge pycparser-2.20 | py_0 89 KB conda-forge pygments-2.6.1 | py_0 683 KB conda-forge pyopenssl-19.1.0 | py_1 47 KB conda-forge pyrsistent-0.16.0 | py36h68a101e_0 91 KB conda-forge pysocks-1.7.1 | py36h9f0ad1d_1 27 KB conda-forge python-3.6.10 |he025d50_1009_cpython 20.7 MB conda-forge python-dateutil-2.8.1 | py_0 220 KB conda-forge python_abi-3.6 | 1_cp36m 4 KB conda-forge pywin32-227 | py36hfa6e2cd_0 6.8 MB conda-forge pyzmq-19.0.0 | py36ha89082f_1 458 KB conda-forge requests-2.23.0 | pyh8c360ce_2 47 KB conda-forge setuptools-46.1.3 | py36h9f0ad1d_0 660 KB conda-forge six-1.14.0 | py_1 13 KB conda-forge testpath-0.4.4 | py_0 85 KB conda-forge tornado-6.0.4 | py36hfa6e2cd_0 639 KB conda-forge traitlets-4.3.3 | py36h9f0ad1d_1 133 KB conda-forge urllib3-1.25.7 | py36h9f0ad1d_1 160 KB conda-forge vc-14.1 | h869be7e_1 6 KB conda-forge vs2015_runtime-14.16.27012 | h30e32a0_1 2.2 MB conda-forge wcwidth-0.1.9 | pyh9f0ad1d_0 20 KB conda-forge webencodings-0.5.1 | py_1 12 KB conda-forge wheel-0.34.2 | py_1 24 KB conda-forge win_inet_pton-1.1.0 | py36_0 7 KB conda-forge wincertstore-0.2 | py36_1003 13 KB conda-forge zeromq-4.3.2 | h6538335_2 10.0 MB conda-forge zipp-3.1.0 | py_0 10 KB conda-forge ------------------------------------------------------------ Total: 95.3 MB
The following NEW packages will be INSTALLED:
attrs conda-forge/noarch::attrs-19.3.0-py_0
backcall conda-forge/noarch::backcall-0.1.0-py_0
bleach conda-forge/noarch::bleach-3.1.4-pyh9f0ad1d_0
ca-certificates conda-forge/win-64::ca-certificates-2020.4.5.1-hecc5488_0
certifi conda-forge/win-64::certifi-2020.4.5.1-py36h9f0ad1d_0
cffi conda-forge/win-64::cffi-1.14.0-py36ha419a9e_0
chardet conda-forge/win-64::chardet-3.0.4-py36h9f0ad1d_1006
colorama conda-forge/noarch::colorama-0.4.3-py_0
cryptography conda-forge/win-64::cryptography-2.8-py36hb32ad35_1
decorator conda-forge/noarch::decorator-4.4.2-py_0
defusedxml conda-forge/noarch::defusedxml-0.6.0-py_0
entrypoints conda-forge/win-64::entrypoints-0.3-py36h9f0ad1d_1001
idna conda-forge/noarch::idna-2.9-py_1
importlib-metadata conda-forge/win-64::importlib-metadata-1.6.0-py36h9f0ad1d_0
importlib_metadata conda-forge/noarch::importlib_metadata-1.6.0-0
ipykernel conda-forge/win-64::ipykernel-5.2.0-py36h5ca1d4c_1
ipython conda-forge/win-64::ipython-7.13.0-py36h9f0ad1d_2
ipython_genutils conda-forge/noarch::ipython_genutils-0.2.0-py_1
jedi conda-forge/win-64::jedi-0.16.0-py36h9f0ad1d_1
jinja2 conda-forge/noarch::jinja2-2.11.1-py_0
json5 conda-forge/noarch::json5-0.9.0-py_0
jsonschema conda-forge/win-64::jsonschema-3.2.0-py36h9f0ad1d_1
jupyter_client conda-forge/noarch::jupyter_client-6.1.2-py_0
jupyter_core conda-forge/win-64::jupyter_core-4.6.3-py36h9f0ad1d_1
jupyterlab conda-forge/noarch::jupyterlab-2.1.0-py_0
jupyterlab_server conda-forge/noarch::jupyterlab_server-1.1.0-py_0
libsodium conda-forge/win-64::libsodium-1.0.17-h2fa13f4_0
markupsafe conda-forge/win-64::markupsafe-1.1.1-py36h68a101e_1
mistune conda-forge/win-64::mistune-0.8.4-py36hfa6e2cd_1000
nbconvert conda-forge/win-64::nbconvert-5.6.1-py36_0
nbformat conda-forge/noarch::nbformat-5.0.4-py_0
notebook conda-forge/win-64::notebook-4.4.1-py36_0
openssl conda-forge/win-64::openssl-1.1.1f-hfa6e2cd_0
pandoc conda-forge/win-64::pandoc-2.9.2-0
pandocfilters conda-forge/noarch::pandocfilters-1.4.2-py_1
parso conda-forge/noarch::parso-0.6.2-py_0
pickleshare conda-forge/win-64::pickleshare-0.7.5-py36h9f0ad1d_1001
pip conda-forge/noarch::pip-20.0.2-py_2
prompt-toolkit conda-forge/noarch::prompt-toolkit-3.0.5-py_0
pycparser conda-forge/noarch::pycparser-2.20-py_0
pygments conda-forge/noarch::pygments-2.6.1-py_0
pyopenssl conda-forge/noarch::pyopenssl-19.1.0-py_1
pyrsistent conda-forge/win-64::pyrsistent-0.16.0-py36h68a101e_0
pysocks conda-forge/win-64::pysocks-1.7.1-py36h9f0ad1d_1
python conda-forge/win-64::python-3.6.10-he025d50_1009_cpython
python-dateutil conda-forge/noarch::python-dateutil-2.8.1-py_0
python_abi conda-forge/win-64::python_abi-3.6-1_cp36m
pywin32 conda-forge/win-64::pywin32-227-py36hfa6e2cd_0
pyzmq conda-forge/win-64::pyzmq-19.0.0-py36ha89082f_1
requests conda-forge/noarch::requests-2.23.0-pyh8c360ce_2
setuptools conda-forge/win-64::setuptools-46.1.3-py36h9f0ad1d_0
six conda-forge/noarch::six-1.14.0-py_1
testpath conda-forge/noarch::testpath-0.4.4-py_0
tornado conda-forge/win-64::tornado-6.0.4-py36hfa6e2cd_0
traitlets conda-forge/win-64::traitlets-4.3.3-py36h9f0ad1d_1
urllib3 conda-forge/win-64::urllib3-1.25.7-py36h9f0ad1d_1
vc conda-forge/win-64::vc-14.1-h869be7e_1
vs2015_runtime conda-forge/win-64::vs2015_runtime-14.16.27012-h30e32a0_1
wcwidth conda-forge/noarch::wcwidth-0.1.9-pyh9f0ad1d_0
webencodings conda-forge/noarch::webencodings-0.5.1-py_1
wheel conda-forge/noarch::wheel-0.34.2-py_1
win_inet_pton conda-forge/win-64::win_inet_pton-1.1.0-py36_0
wincertstore conda-forge/win-64::wincertstore-0.2-py36_1003
zeromq conda-forge/win-64::zeromq-4.3.2-h6538335_2
zipp conda-forge/noarch::zipp-3.1.0-py_0DryRunExit: Dry run. Exiting.
Still digging...
Publish 3.1.0a7?
I think there's a lot of excitement in the community for this release, and a number of extensions (and, cough, testing tools) may benefit from having it to test against.
Concerns:
- probably go in a new
jupyterlab_alpha
channel (not the existingjupyterlab_rc
one)- don't want to set the precedent, in light of #173 still being unautomated
I'm happy to do the scut work, but don't want to put us in any kind of untenable situation. Basic workflow would be:
- fork off
master
to3.x-alpha
- update the
conda_build_config.yaml
- see what sticks!
This repository doesn't 'just work'
A big advantage of conda forge is that packages just work. While the install size might be large, things just install and you can move on with your work.
However, with this package, I always find myself having to go through the steps outlined in tqdm/tqdm#394 (comment)
mamba install nodejs ipywidgets jupyter nbextension enable --py widgetsnbextension jupyter labextension install @jupyter-widgets/jupyterlab-manager
Is this something we can automate? If not, is there a good reason why we shouldn't do it?
jupyterlab 3.3.0b0
Once azure is back up, we should push this to the beta channel:
https://github.com/jupyterlab/jupyterlab/releases/tag/v3.3.0b0
Include license file
Would be good to have the license file in the package using the
license_file
metadata.Pin tornado to <6
This is just a reminder that the python package is pinned to
tornado<6
, so we'll need to pin here as well.@conda-forge-admin please update version
Additional comment:
No response
post-link.sh fails when installing through conda constructor
I am trying to build a conda constructor with the following construct.yaml file:
name: Microdrop version: 0.0.1 install_in_dependency_order: True channels: - https://conda.anaconda.org/lucaszw - https://conda.anaconda.org/sci-bots - https://conda.anaconda.org/conda-forge - https://conda.anaconda.org/dfroger specs: - python 3.5* - anaconda-client - nodejs 8* - jupyter_core - jupyter_client - jupyterlab ignore_duplicate_files: True installer_type: sh [osx] post_install: post_install license_file: LICENSE welcome_image: welcome.pngUnfortunately, the install fails on os x with the following error message:
installing: jupyterlab-0.29.2-py35_0 ... Error: post-link failed for: jupyterlab-0.29.2-py35_0Calling the post-link command directly yields:
Traceback (most recent call last): File "bin/jupyter-serverextension", line 4, in <module> import notebook.serverextensions File "/Users/lucaszw/microdrop/lib/python3.5/site-packages/notebook/__init__.py", line 25, in <module> from .nbextensions import install_nbextension File "/Users/lucaszw/microdrop/lib/python3.5/site-packages/notebook/nbextensions.py", line 23, in <module> from jupyter_core.paths import ( ImportError: No module named 'jupyter_core'0.5.0 py35_0 osx-64 package didn't build
Is there a way to trigger the missing build?
0.4.1 py27_0 conda-forge/osx-64 0.4.1 py34_0 conda-forge/osx-64 * 0.4.1 py35_0 conda-forge/osx-64 0.5.0 py27_0 conda-forge/osx-64 0.5.0 py34_0 conda-forge/osx-64
Jupyterlab missing in Navigator home, other many apps appear
Solution to issue cannot be found in the documentation.
- I checked the documentation.
Issue
I installed a new environment using this yml file and the import option in Navigator. Install works and installs jupyterlab, which I can start from the terminal. But there is no button to launch from within navigator, which I'd like to use to simplify my students life.
Originally it installed
jupyterlab-3.4.5
, which did not appear on Navigator. Upon downgrading to3.4.4
it appears.I also get lots of apps for which installation is offered in navigator. At least on my laptop, although not on another one I tested. Here's a partial view, but there are multiple screens like this.
I had opened an issue with here, but I was told this was a
conda-forge
issue.Installed packages
# packages in environment at /Users/ozak/anaconda3/envs/EconGrowthUG: # # Name Version Build Channel _r-mutex 1.0.1 anacondar_1 conda-forge abseil-cpp 20211102.0 h96cf925_1 conda-forge access 1.1.8 pyhd8ed1ab_0 conda-forge affine 2.3.1 pyhd8ed1ab_0 conda-forge alabaster 0.7.12 py_0 conda-forge amply 0.1.5 pyhd8ed1ab_0 conda-forge anyio 3.6.1 pyhd8ed1ab_1 conda-forge aom 3.4.0 hb486fe8_1 conda-forge appdirs 1.4.4 pyh9f0ad1d_0 conda-forge applaunchservices 0.3.0 pyhd8ed1ab_2 conda-forge appnope 0.1.3 pyhd8ed1ab_0 conda-forge argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge argon2-cffi-bindings 21.2.0 py39h63b48b0_2 conda-forge arrow 1.2.2 pyhd8ed1ab_0 conda-forge arrow-cpp 9.0.0 py39hd7b65c3_0_cpu conda-forge astroid 2.11.6 py39h6e9494a_0 conda-forge atk-1.0 2.36.0 he69c4ee_4 conda-forge atomicwrites 1.4.1 pyhd8ed1ab_0 conda-forge attrs 22.1.0 pyh71513ae_1 conda-forge autopep8 1.6.0 pyhd8ed1ab_1 conda-forge aws-c-cal 0.5.11 hd2e2f4b_0 conda-forge aws-c-common 0.6.2 h0d85af4_0 conda-forge aws-c-event-stream 0.2.7 hb9330a7_13 conda-forge aws-c-io 0.10.5 h35aa462_0 conda-forge aws-checksums 0.1.11 h0010a65_7 conda-forge aws-requests-auth 0.4.2 py_0 conda-forge aws-sdk-cpp 1.8.186 h766a74d_3 conda-forge babel 2.10.3 pyhd8ed1ab_0 conda-forge backcall 0.2.0 pyh9f0ad1d_0 conda-forge backports 1.0 py_2 conda-forge backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge beautifulsoup4 4.11.1 pyha770c72_0 conda-forge binaryornot 0.4.4 py_1 conda-forge black 22.6.0 py39h6e9494a_2 conda-forge bleach 5.0.1 pyhd8ed1ab_0 conda-forge blosc 1.21.1 h97e831e_3 conda-forge boost-cpp 1.74.0 h8b082ac_8 conda-forge boto3 1.24.48 pyhd8ed1ab_0 conda-forge botocore 1.27.49 pyhd8ed1ab_0 conda-forge branca 0.5.0 pyhd8ed1ab_0 conda-forge brotli 1.0.9 h5eb16cf_7 conda-forge brotli-bin 1.0.9 h5eb16cf_7 conda-forge brotlipy 0.7.0 py39h63b48b0_1004 conda-forge brunsli 0.1 h046ec9c_0 conda-forge bwidget 1.9.14 h694c41f_1 conda-forge bzip2 1.0.8 h0d85af4_4 conda-forge c-ares 1.18.1 h0d85af4_0 conda-forge c-blosc2 2.2.0 h2699725_0 conda-forge ca-certificates 2022.6.15 h033912b_0 conda-forge cairo 1.16.0 h1680b09_1011 conda-forge cartopy 0.20.3 py39hfc8f577_1 conda-forge cctools_osx-64 973.0.1 h3eff9a4_10 conda-forge certifi 2022.6.15 py39h6e9494a_0 conda-forge cffi 1.15.1 py39hae9ecf2_0 conda-forge cfitsio 4.1.0 h2c97ad1_0 conda-forge chardet 5.0.0 py39h6e9494a_0 conda-forge charls 2.3.4 he49afe7_0 conda-forge charset-normalizer 2.1.0 pyhd8ed1ab_0 conda-forge clang 14.0.4 h694c41f_0 conda-forge clang-14 14.0.4 default_h55ffa42_0 conda-forge clang_osx-64 14.0.4 h3a95cd4_2 conda-forge clangxx 14.0.4 default_h55ffa42_0 conda-forge clangxx_osx-64 14.0.4 he1dbc44_2 conda-forge click 8.1.3 py39h6e9494a_0 conda-forge click-plugins 1.1.1 py_0 conda-forge cligj 0.7.2 pyhd8ed1ab_1 conda-forge cloudpickle 2.1.0 pyhd8ed1ab_0 conda-forge coin-or-cbc 2.10.8 hc8a182d_0 conda-forge coin-or-cgl 0.60.6 hd1832e5_1 conda-forge coin-or-clp 1.17.7 h947a6f2_1 conda-forge coin-or-osi 0.108.7 h263dbfc_1 conda-forge coin-or-utils 2.11.6 h4a88296_1 conda-forge coincbc 2.10.8 0_metapackage conda-forge colorama 0.4.5 pyhd8ed1ab_0 conda-forge compiler-rt 14.0.4 h7fcd477_0 conda-forge compiler-rt_osx-64 14.0.4 h6df654d_0 conda-forge contextily 1.2.0 pyhd8ed1ab_0 conda-forge cookiecutter 2.1.1 pyh6c4a22f_0 conda-forge coverage 6.4.3 py39h6218fd2_0 conda-forge cryptography 37.0.4 py39h9c2a9ce_0 conda-forge curl 7.83.1 h372c54d_0 conda-forge cycler 0.11.0 pyhd8ed1ab_0 conda-forge cytoolz 0.12.0 py39h701faf5_0 conda-forge dask-core 2022.8.0 pyhd8ed1ab_0 conda-forge dav1d 1.0.0 hac89ed1_1 conda-forge debugpy 1.6.0 py39hfd1d529_0 conda-forge decorator 5.1.1 pyhd8ed1ab_0 conda-forge defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge deprecation 2.1.0 pyh9f0ad1d_0 conda-forge descartes 1.1.0 py_4 conda-forge diff-match-patch 20200713 pyh9f0ad1d_0 conda-forge dill 0.3.5.1 pyhd8ed1ab_0 conda-forge docopt 0.6.2 py_1 conda-forge docutils 0.19 py39h6e9494a_0 conda-forge entrypoints 0.4 pyhd8ed1ab_0 conda-forge esda 2.4.1 pyhd8ed1ab_0 conda-forge expat 2.4.8 h96cf925_0 conda-forge fftw 3.3.10 nompi_h6e8bf23_103 conda-forge fiona 1.8.21 py39hc71711c_2 conda-forge flake8 4.0.1 pyhd8ed1ab_2 conda-forge flit-core 3.7.1 pyhd8ed1ab_0 conda-forge folium 0.12.1.post1 pyhd8ed1ab_1 conda-forge font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge font-ttf-inconsolata 3.000 h77eed37_0 conda-forge font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge font-ttf-ubuntu 0.83 hab24e00_0 conda-forge fontconfig 2.14.0 h676cef8_0 conda-forge fonts-conda-ecosystem 1 0 conda-forge fonts-conda-forge 1 0 conda-forge fonttools 4.34.4 py39h701faf5_0 conda-forge freetype 2.10.4 h3f81eb7_2 conda-forge freexl 1.0.6 h0d85af4_0 conda-forge fribidi 1.0.10 hbcb3906_0 conda-forge fsspec 2022.7.1 pyhd8ed1ab_0 conda-forge gdal 3.5.1 py39haba2596_2 conda-forge gdk-pixbuf 2.42.8 hb161b9c_0 conda-forge geographiclib 1.52 pyhd8ed1ab_0 conda-forge geopandas 0.11.1 pyhd8ed1ab_0 conda-forge geopandas-base 0.11.1 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conda-forge r-sys 3.4 r41h28b5c78_0 conda-forge r-systemfonts 1.0.4 r41h6824f6f_0 conda-forge r-terra 1.5_21 r41h32c29c2_5 conda-forge r-testthat 3.1.4 r41h8619c4b_0 conda-forge r-textshaping 0.3.6 r41hb923c81_2 conda-forge r-tibble 3.1.8 r41h67d6963_0 conda-forge r-tidyr 1.2.0 r41h9951f98_0 conda-forge r-tidyselect 1.1.2 r41hbe3e9c8_0 conda-forge r-tidyverse 1.3.2 r41hc72bb7e_0 conda-forge r-tigris 1.6.1 r41hc72bb7e_0 conda-forge r-tinytex 0.40 r41hc72bb7e_0 conda-forge r-tzdb 0.3.0 r41hc4bb905_0 conda-forge r-units 0.8_0 r41h8619c4b_0 conda-forge r-urlchecker 1.0.1 r41hc72bb7e_0 conda-forge r-usethis 2.1.6 r41hc72bb7e_0 conda-forge r-utf8 1.2.2 r41h28b5c78_0 conda-forge r-uuid 1.1_0 r41h0f1d5c4_0 conda-forge r-vctrs 0.4.1 r41hc4bb905_0 conda-forge r-viridis 0.6.2 r41hc72bb7e_0 conda-forge r-viridislite 0.4.0 r41hc72bb7e_0 conda-forge r-vroom 1.5.7 r41h9951f98_0 conda-forge r-waldo 0.4.0 r41hc72bb7e_0 conda-forge r-whisker 0.4 r41hc72bb7e_1 conda-forge r-withr 2.5.0 r41hc72bb7e_0 conda-forge r-wk 0.6.0 r41h9951f98_0 conda-forge r-xfun 0.32 r41h64890a7_0 conda-forge r-xml2 1.3.3 r41hc4bb905_1 conda-forge r-xopen 1.0.0 r41hc72bb7e_1003 conda-forge r-xtable 1.8_4 r41hc72bb7e_3 conda-forge r-yaml 2.3.5 r41h0f1d5c4_0 conda-forge r-zip 2.2.0 r41h28b5c78_0 conda-forge r-zoo 1.8_10 r41h0f1d5c4_0 conda-forge rasterio 1.3.0.post1 py39h7fdfa8f_0 conda-forge rasterstats 0.17.0 pyhd8ed1ab_0 conda-forge re2 2022.06.01 hb486fe8_0 conda-forge readline 8.1.2 h3899abd_0 conda-forge regex 2022.7.25 py39h701faf5_0 conda-forge requests 2.28.1 pyhd8ed1ab_0 conda-forge requests-futures 1.0.0 pyh9f0ad1d_2 conda-forge retrying 1.3.3 py_2 conda-forge rope 1.3.0 pyhd8ed1ab_0 conda-forge rtree 1.0.0 py39h7d0d40a_1 conda-forge rvlib 0.0.6 py39hc89836e_1 conda-forge s3transfer 0.6.0 pyhd8ed1ab_0 conda-forge scikit-image 0.19.3 py39h0082581_1 conda-forge scikit-learn 1.1.2 py39h8031a56_0 conda-forge scipy 1.9.0 py39h29d19b3_0 conda-forge seaborn 0.11.2 hd8ed1ab_0 conda-forge seaborn-base 0.11.2 pyhd8ed1ab_0 conda-forge segregation 2.3.1 pyhd8ed1ab_1 conda-forge send2trash 1.8.0 pyhd8ed1ab_0 conda-forge setuptools 63.4.3 py39h6e9494a_0 conda-forge shapely 1.8.2 py39hcceb7e9_3 conda-forge sigtool 0.1.3 h57ddcff_0 conda-forge simplejson 3.17.6 py39h63b48b0_1 conda-forge sip 6.6.2 py39hd408605_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge snappy 1.1.9 h6e38e02_1 conda-forge sniffio 1.2.0 py39h6e9494a_3 conda-forge snowballstemmer 2.2.0 pyhd8ed1ab_0 conda-forge snuggs 1.4.7 py_0 conda-forge sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge spaghetti 1.6.6 pyhd8ed1ab_0 conda-forge spatialpandas 0.4.4 pyhd8ed1ab_1 conda-forge spglm 1.0.8 py_0 conda-forge sphinx 5.1.1 pyhd8ed1ab_1 conda-forge sphinxcontrib-applehelp 1.0.2 py_0 conda-forge sphinxcontrib-devhelp 1.0.2 py_0 conda-forge sphinxcontrib-htmlhelp 2.0.0 pyhd8ed1ab_0 conda-forge sphinxcontrib-jsmath 1.0.1 py_0 conda-forge sphinxcontrib-qthelp 1.0.3 py_0 conda-forge sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_2 conda-forge spint 1.0.7 pyhd8ed1ab_0 conda-forge splot 1.1.5.post1 pyhd8ed1ab_0 conda-forge spopt 0.4.1 pyhd8ed1ab_0 conda-forge spreg 1.2.4 pyhd8ed1ab_0 conda-forge spvcm 0.3.0 py_0 conda-forge spyder 5.3.2 py39h6e9494a_0 conda-forge spyder-kernels 2.3.2 py39h6e9494a_0 conda-forge sqlite 3.39.2 hd9f0692_0 conda-forge stata_kernel 1.12.2 py39h6e9494a_2 conda-forge statsmodels 0.13.2 py39h15b18c7_0 conda-forge sympy 1.10.1 py39h6e9494a_0 conda-forge tapi 1100.0.11 h9ce4665_0 conda-forge tenacity 8.0.1 pyhd8ed1ab_0 conda-forge terminado 0.15.0 py39h6e9494a_0 conda-forge text-unidecode 1.3 py_0 conda-forge textdistance 4.3.0 pyhd8ed1ab_0 conda-forge threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge three-merge 0.1.1 pyh9f0ad1d_0 conda-forge tifffile 2022.8.8 pyhd8ed1ab_0 conda-forge tiledb 2.9.5 hb1ce2c0_0 conda-forge tinycss2 1.1.1 pyhd8ed1ab_0 conda-forge tk 8.6.12 h5dbffcc_0 conda-forge tktable 2.10 h49f0cf7_3 conda-forge tobler 0.9.0 pyhd8ed1ab_0 conda-forge toml 0.10.2 pyhd8ed1ab_0 conda-forge tomli 2.0.1 pyhd8ed1ab_0 conda-forge tomlkit 0.11.3 pyha770c72_0 conda-forge toolz 0.12.0 pyhd8ed1ab_0 conda-forge tornado 6.2 py39h701faf5_0 conda-forge tqdm 4.64.0 pyhd8ed1ab_0 conda-forge traitlets 5.3.0 pyhd8ed1ab_0 conda-forge typing 3.10.0.0 pyhd8ed1ab_0 conda-forge typing-extensions 4.3.0 hd8ed1ab_0 conda-forge typing_extensions 4.3.0 pyha770c72_0 conda-forge tzcode 2022a h5eb16cf_0 conda-forge tzdata 2022a h191b570_0 conda-forge udunits2 2.2.28 h06ef574_0 conda-forge ujson 5.3.0 py39hd408605_0 conda-forge unicodedata2 14.0.0 py39h63b48b0_1 conda-forge unidecode 1.3.4 pyhd8ed1ab_0 conda-forge urllib3 1.26.11 pyhd8ed1ab_0 conda-forge watchdog 2.1.9 py39h0056ad7_0 conda-forge wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge webencodings 0.5.1 py_1 conda-forge websocket-client 1.3.3 pyhd8ed1ab_0 conda-forge whatthepatch 1.0.2 pyhd8ed1ab_0 conda-forge wheel 0.37.1 pyhd8ed1ab_0 conda-forge widgetsnbextension 3.6.1 pyha770c72_0 conda-forge wrapt 1.14.1 py39h701faf5_0 conda-forge wurlitzer 3.0.2 pyhd8ed1ab_2 conda-forge xerces-c 3.2.3 hf5b2a72_5 conda-forge xlrd 2.0.1 pyhd8ed1ab_3 conda-forge xorg-kbproto 1.0.7 h35c211d_1002 conda-forge xorg-libice 1.0.10 h0d85af4_0 conda-forge xorg-libsm 1.2.3 h0d85af4_1000 conda-forge xorg-libx11 1.7.2 h0d85af4_0 conda-forge xorg-libxau 1.0.9 h35c211d_0 conda-forge xorg-libxdmcp 1.1.3 h35c211d_0 conda-forge xorg-libxext 1.3.4 h0d85af4_1 conda-forge xorg-libxrender 0.9.10 h0d85af4_1003 conda-forge xorg-libxt 1.2.1 h0d85af4_2 conda-forge xorg-renderproto 0.11.1 h0d85af4_1002 conda-forge xorg-xextproto 7.3.0 h35c211d_1002 conda-forge xorg-xproto 7.0.31 h35c211d_1007 conda-forge xyzservices 2022.6.0 pyhd8ed1ab_0 conda-forge xz 5.2.5 haf1e3a3_1 conda-forge yaml 0.2.5 h0d85af4_2 conda-forge yapf 0.32.0 pyhd8ed1ab_0 conda-forge zeromq 4.3.4 he49afe7_1 conda-forge zfp 1.0.0 hb9aa9fd_1 conda-forge zipp 3.8.1 pyhd8ed1ab_0 conda-forge zlib 1.2.12 hfe4f2af_2 conda-forge zlib-ng 2.0.6 hac89ed1_0 conda-forge zstd 1.5.2 ha9df2e0_3 conda-forgeEnvironment info
active environment : EconGrowthUG active env location : /Users/ozak/anaconda3/envs/EconGrowthUG shell level : 1 user config file : /Users/ozak/.condarc populated config files : /Users/ozak/.condarc conda version : 4.13.0 conda-build version : 3.18.8 python version : 3.7.12.final.0 virtual packages : __osx=10.16=0 __unix=0=0 __archspec=1=x86_64 base environment : /Users/ozak/anaconda3 (writable) conda av data dir : /Users/ozak/anaconda3/etc/conda conda av metadata url : None channel URLs : https://conda.anaconda.org/conda-forge/osx-64 https://conda.anaconda.org/conda-forge/noarch https://conda.anaconda.org/mro/osx-64 https://conda.anaconda.org/mro/noarch https://conda.anaconda.org/r/osx-64 https://conda.anaconda.org/r/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 package cache : /Users/ozak/anaconda3/pkgs /Users/ozak/.conda/pkgs envs directories : /Users/ozak/anaconda3/envs /Users/ozak/.conda/envs platform : osx-64 user-agent : conda/4.13.0 requests/2.28.1 CPython/3.7.12 Darwin/20.6.0 OSX/10.16 UID:GID : 502:20 netrc file : None offline mode : FalseError while updating anaconda: pre-unlink script failed for package conda-forge::jupyterlab-0.31.5-py36_1
WARNING conda.core.link:run_script(518): pre-unlink script failed for package conda-forge::jupyterlab-0.31.5-py36_1
consider notifying the package maintainerCreate long-running 2.x (and 2.x-rc) branch, jupyterlab 2.3.0rc0?
Since we don't have #173 ๐ฟ leaving a note here in case a bot doesn't pick it up...
I might get to it... I guess we just need to make a long-running 2.x branch now, as well as a 2.x-rc? Not sure how many more releases there are going to be like this...
The last 2.x PR appears to be:
#237So something like:
git checkout master git reset --hard upstream/master git checkout -b 2.x git reset --hard 395ea5c git push origin 2.x git checkout -b rc-2.x git push origin rc-2.xThen make:
- the rc release from the
rc-2.x
branch- and be ready to do the real 2.3 from
2.x
Depend on nbconvert if jupyter_server uses nbconvert-core?
Comment:
nbconvert-core
is now available as a dependency, which doesn't bring along the hard dependency onpandoc
.I made conda-forge/jupyter_server-feedstock#86 to discuss whether
jupyter_server
, our source ofnbconvert
should adopt core.If it were to happen, then we would need to decide if this feedstock should depend on "full"
nbconvert
, to maintain the status quo behavior, part of what makes installing JupyterLab from conda-forge attractive.This could be done as a blanket dependency to maintain the status quo, or could be multiple outputs, e.g.
jupyterlab
withnbconvert
andjupyterlab-core
without it.References
- upstream issue conda-forge/nbconvert-feedstock#72
Transitioning to the conf.d enabling approach
We currently explicitly enable/disable the server extension in the link/unlink scripts. We should eventually transition to only using the conf.d approach (which already works), when we feel that enough time has passed that most people have upgraded to the relevant notebook version (I think 5.3, released in January 2018).
A transition plan is outlined in jupyter/notebook#3782 - which is complicated by the fact that we can't just do
jupyter serverextension uninstall
to remove the config entry. Basically, the transition plan involves removing the unlink scripts for several JupyterLab versions, so that most people have a jlab conda package that won't explicitly disable jlab on uninstall. Then remove the link scripts. The end result is that people will have a harmlessenable
entry in their notebook server config after upgrading, but installs into new environments will use the conf.d enabling only.Depend on nodejs and ipywidgets?
I always find myself using the following fix
tqdm/tqdm#394 (comment)Does it make sense to depend on nodejs and ipywidgets?
Depend upon nodejs so that jupyterlab works out of the box
Issue:
jupyterlab-feedstock should depend upon
-c conda-forge nodejs
so that runningjupyter lab build
with-c conda-forge jupyterlab
just works ouf of the box.Is
nodejs
an optional dependency? Sort of.Should it be possible to just install extensions without having to figure out that you need to also install
nodejs
? Yes.
Environment (conda list
):$ conda list
Details aboutconda
and system (conda info
):$ conda info
Add entry points to meta.yml
@conda-forge-admin please update version
Additional comment:
No response
Remove/split-out *.js.map files
The
*.js.map
files are non-negligible in size:$ find ./lib/python3.7/site-packages/jupyterlab ./share/jupyter/lab/ -type f,l -name '*.js.map' -exec du -hc {} + 11M ./lib/python3.7/site-packages/jupyterlab/static/vendors~main.490fadf8b0813d47d591.js.map 1.3M ./lib/python3.7/site-packages/jupyterlab/static/0.8655c60128912e3ea900.js.map 4.0K ./lib/python3.7/site-packages/jupyterlab/static/vega.0adc8a452b66056a4f6e.js.map 2.9M ./lib/python3.7/site-packages/jupyterlab/static/vendors~vega.70a9a6945c18f5c12a42.js.map 80K ./lib/python3.7/site-packages/jupyterlab/static/main.78a97ae7d969b08570c6.js.map 12K ./lib/python3.7/site-packages/jupyterlab/static/3.41f272f8c07719e6ad4f.js.map 11M ./share/jupyter/lab//static/vendors~main.490fadf8b0813d47d591.js.map 1.3M ./share/jupyter/lab//static/0.8655c60128912e3ea900.js.map 4.0K ./share/jupyter/lab//static/vega.0adc8a452b66056a4f6e.js.map 2.9M ./share/jupyter/lab//static/vendors~vega.70a9a6945c18f5c12a42.js.map 80K ./share/jupyter/lab//static/main.78a97ae7d969b08570c6.js.map 12K ./share/jupyter/lab//static/3.41f272f8c07719e6ad4f.js.map 30M total
When installing in a docker image, it may be useful to remove these (they also appear to be duplicated). Right now I'm removing these manually after installation, which is functional if not ideal.
@conda-forge-admin please update version
Additional comment:
No response
How to create a new branch?
I'd like to move our 1.x branch to 1.2.x, so it tracks with our branch in the repo, and so I can run the following script to make a prerelease:
function conda-release { # Get metadata - copy sha to clipboard shasum -a 256 dist/*.tar.gz | awk '{printf $1;}' | pbcopy local name=`python setup.py --name 2>/dev/null` local version=`python setup.py --version 2>/dev/null` local branch=`git rev-parse --abbrev-ref HEAD` # Open the feedstock in the browser open https://github.com/conda-forge/$name-feedstock # Create a branch cd ~/workspace/jupyter/$name-feedstock git fetch upstream master git checkout -b "release-$version" upstream/$branch # Open the recipe for editing code recipe/meta.yaml }Recommend Projects
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization
Some thing interesting about visualization, use data art
Game
Some thing interesting about game, make everyone happy.
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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 โค๏ธ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.