Release v0.19? #5588
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Planning and tracking progress of releases
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as long as you're a member you can use @pydata/xarray |
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There's a breaking change so it should be 0.19.0: https://xarray.pydata.org/en/latest/whats-new.html |
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we were also wondering whether a renamed kwarg went through a deprecation cycle, but I can't find that PR. Has it been merged, yet? |
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there are also a few deprecations scheduled for removal in |
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I know I volunteered to do this release, but some of the PRs I wanted to include have taken longer than I thought they would (particularly #5571), and now I'm going to be away from a computer from tomorrow until near the end of next week. Should we do the release soon anyway? |
Yes! |
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I basically think we should never wait for PRs, or spend time "rounding them up" before doing a release. Stuff is going to go in at some point, and exactly when doesn't matter as much as reducing the burden of doing releases. Indeed — even if we're only attempting to reduce the time between code merging and being released — we'd arguably reduce that more by forgoing this rounding up effort, making releases easier and more frequent. The only argument I can see is that it's some "call to action" that helps motivate people to push something over the edge. (but not super confident and realize I am maybe contra-consensus, so weigh appropriately) |
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@max-sixty I think it somewhat depends on the intended purpose of the
release: new features or bug fixes? Here the primary motivation was a bug
fix so I agree with you in this case.
…On Fri, 16 Jul 2021, 12:31 Maximilian Roos, ***@***.***> wrote:
I basically think we should never wait for PRs, or spend time "rounding
them up" before doing a release. Stuff is going to go in at some point, and
exactly when doesn't matter as much as reducing the burden of doing
releases. Indeed — even if we're only attempting to reduce the time between
code merging and being released — we'd arguably reduce that more by
forgoing this rounding up effort, making releases easier and more frequent.
The only argument I can see is that it's some "call to action" that helps
motivate people to push something over the edge.
(but not super confident and realize I am maybe contra-consensus, so weigh
appropriately)
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I'd like to consider rolling back the addition of typing-extensions as a required dependency before issuing the release: #5495 |
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Is this just blocking on #5495? What did we decide to do there? |
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Is it possible to make quick release of xarray? Without a release containing PR #5359, we are forced to pin pandas below 1.3.0. Thanks ! |
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Just merged the blocker. @TomNicholas we should be good to release. |
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Good news everyone! The release is done. |
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Thanks Tom and everyone else who helped out!
…On Fri, Jul 23, 2021 at 3:09 PM Tom Nicholas ***@***.***> wrote:
Good news everyone! The release is done.
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tlvu
added a commit
to Ouranosinc/PAVICS-e2e-workflow-tests
that referenced
this issue
Jul 26, 2021
New docker full build to get latest RavenPy-0.6.0, Xclim-0.28.0 and latest of everything else # Overview Relevant changes: ```diff < - ravenpy=0.5.2=pyh7f9bfb9_0 > - ravenpy=0.6.0=pyh1bb2064_2 < - xclim=0.27.0=pyhd8ed1ab_0 > - xclim=0.28.0=pyhd8ed1ab_0 # birdy rebuild < - birdy=v0.8.0=pyh6c4a22f_0 > - birdy=v0.8.0=pyh6c4a22f_1 < - cf_xarray=0.5.2=pyh6c4a22f_0 > - cf_xarray=0.6.0=pyh6c4a22f_0 < - cftime=1.4.1=py37h902c9e0_0 > - cftime=1.5.0=py37h6f94858_0 < - dask=2021.6.0=pyhd8ed1ab_0 > - dask=2021.7.0=pyhd8ed1ab_0 < - nc-time-axis=1.2.0=py_1 > - nc-time-axis=1.3.1=pyhd8ed1ab_2 < - rioxarray=0.4.1.post0=pyhd8ed1ab_0 > - rioxarray=0.5.0=pyhd8ed1ab_0 < - numpy=1.20.3=py37h038b26d_1 > - numpy=1.21.1=py37h038b26d_0 < - pandas=1.2.4=py37h219a48f_0 > - pandas=1.2.5=py37h219a48f_0 < - plotly=4.14.3=pyh44b312d_0 > - plotly=5.1.0=pyhd8ed1ab_1 < - nbconvert==5.6.1 > - nbconvert=6.1.0=py37h89c1867_0 ``` ## Changes - unpin `cftime`, since SciTools/nc-time-axis/issues/58 resolved - add `patch` to pull unreleased fixes if needed - pin pandas due to xarray (pydata/xarray#5588 (comment)) ## Additional Information Jenkins build, only known intermittent error (ESGF login, stress-test.ipynb) http://jenkins.ouranos.ca/job/PAVICS-e2e-workflow-tests/job/new-docker-full-build/3/console Jenkins build against Raven notebooks: http://jenkins.ouranos.ca/job/PAVICS-e2e-workflow-tests/job/new-docker-full-build/6/console Matching PR to deploy this Jupyter env on PAVICS bird-house/birdhouse-deploy#183 Full `conda env export` diff: [210527.1-update20210618-210723-conda-env-export.diff.txt](https://github.com/Ouranosinc/PAVICS-e2e-workflow-tests/files/6870972/210527.1-update20210618-210723-conda-env-export.diff.txt) ```diff 10c10 < - aiohttp=3.7.4=py37h5e8e339_0 --- > - aiohttp=3.7.4.post0=py37h5e8e339_0 14c14 < - anyio=3.1.0=py37h89c1867_0 --- > - anyio=3.3.0=py37h89c1867_0 25,26c25,26 < - birdy=v0.8.0=pyh6c4a22f_0 < - bleach=3.3.0=pyh44b312d_0 --- > - birdy=v0.8.0=pyh6c4a22f_1 > - bleach=3.3.1=pyhd8ed1ab_0 29c29 < - bokeh=2.3.2=py37h89c1867_0 --- > - bokeh=2.3.3=py37h89c1867_0 34,35c34,36 < - brotli=1.0.9=h9c3ff4c_4 < - brotli-python=1.0.9=py37hcd2ae1e_4 --- > - brotli=1.0.9=h7f98852_5 > - brotli-bin=1.0.9=h7f98852_5 > - brotli-python=1.0.9=py37hcd2ae1e_5 51,52c52,53 < - cf_xarray=0.5.2=pyh6c4a22f_0 < - cffi=1.14.5=py37hc58025e_0 --- > - cf_xarray=0.6.0=pyh6c4a22f_0 > - cffi=1.14.6=py37hc58025e_0 55c56 < - cftime=1.4.1=py37h902c9e0_0 --- > - cftime=1.5.0=py37h6f94858_0 57a59 > - charset-normalizer=2.0.0=pyhd8ed1ab_0 61c63 < - climpred=2.1.2=pyhd8ed1ab_0 --- > - climpred=2.1.4=pyhd8ed1ab_0 66c68 < - configurable-http-proxy=4.4.0=node15_he6ea98c_0 --- > - configurable-http-proxy=4.5.0=node15_he6ea98c_0 77,78c79,80 < - dask=2021.6.0=pyhd8ed1ab_0 < - dask-core=2021.6.0=pyhd8ed1ab_0 --- > - dask=2021.7.0=pyhd8ed1ab_0 > - dask-core=2021.7.0=pyhd8ed1ab_0 83,84c85,86 < - debugpy=1.3.0=py37hcd2ae1e_0 < - decorator=4.4.2=py_0 --- > - debugpy=1.4.0=py37hcd2ae1e_0 > - decorator=5.0.9=pyhd8ed1ab_0 87,88c89,90 < - distarray=2.12.2=py_1 < - distributed=2021.6.0=py37h89c1867_0 --- > - distarray=2.12.2=pyhd8ed1ab_2 > - distributed=2021.7.0=py37h89c1867_0 98d99 < - esmtools=1.1.3=py_0 105c106 < - flask-compress=1.10.0=pyhd8ed1ab_0 --- > - flask-compress=1.10.1=pyhd8ed1ab_0 109c110 < - fsspec=2021.6.0=pyhd8ed1ab_0 --- > - fsspec=2021.7.0=pyhd8ed1ab_0 112,113c113,114 < - g2clib=1.6.0=hf3f1b0b_9 < - gcsfs=2021.6.0=pyhd8ed1ab_0 --- > - g2clib=1.6.3=hdfa6d74_0 > - gcsfs=2021.7.0=pyhd8ed1ab_0 116c117,118 < - geopandas=0.9.0=pyhd8ed1ab_0 --- > - geopandas=0.9.0=pyhd8ed1ab_1 > - geopandas-base=0.9.0=pyhd8ed1ab_1 125c127 < - gitpython=3.1.17=pyhd8ed1ab_0 --- > - gitpython=3.1.19=pyhd8ed1ab_0 130c132 < - google-auth=1.30.0=pyh44b312d_0 --- > - google-auth=1.33.1=pyh6c4a22f_0 136c138 < - h5py=3.2.1=nompi_py37ha3df211_100 --- > - h5py=3.3.0=nompi_py37ha3df211_100 140,141c142,143 < - holoviews=1.14.4=pyhd8ed1ab_0 < - hvplot=0.7.2=pyh6c4a22f_0 --- > - holoviews=1.14.5=pyhd8ed1ab_0 > - hvplot=0.7.3=pyh6c4a22f_0 143c145 < - idna=2.10=pyh9f0ad1d_0 --- > - idna=3.1=pyhd3deb0d_0 146,148c148,150 < - importlib-metadata=4.5.0=py37h89c1867_0 < - importlib_metadata=4.5.0=hd8ed1ab_0 < - importlib_resources=5.1.4=pyhd8ed1ab_0 --- > - importlib-metadata=4.6.1=py37h89c1867_0 > - importlib_metadata=4.6.1=hd8ed1ab_0 > - importlib_resources=5.2.0=pyhd8ed1ab_0 156,157c158,159 < - ipyleaflet=0.13.6=pyhd8ed1ab_1 < - ipython=7.24.1=py37h085eea5_0 --- > - ipyleaflet=0.14.0=pyhd8ed1ab_1 > - ipython=7.25.0=py37h085eea5_1 178c180 < - jupyter_server=1.8.0=pyhd8ed1ab_0 --- > - jupyter_server=1.10.1=pyhd8ed1ab_0 180,181c182,183 < - jupyterhub=1.4.1=py37h89c1867_0 < - jupyterhub-base=1.4.1=py37h89c1867_0 --- > - jupyterhub=1.4.2=py37h89c1867_0 > - jupyterhub-base=1.4.2=py37h89c1867_0 187c189 < - jupytext=1.11.2=pyh6c4a22f_0 --- > - jupytext=1.11.4=pyhd0ecf6b_0 195c197 < - ld_impl_linux-64=2.35.1=hea4e1c9_2 --- > - ld_impl_linux-64=2.36.1=hea4e1c9_1 197c199 < - libaec=1.0.4=h9c3ff4c_1 --- > - libaec=1.0.5=h9c3ff4c_0 198a201,203 > - libbrotlicommon=1.0.9=h7f98852_5 > - libbrotlidec=1.0.9=h7f98852_5 > - libbrotlienc=1.0.9=h7f98852_5 212c217 < - libgcc-ng=9.3.0=h2828fa1_19 --- > - libgcc-ng=11.1.0=hc902ee8_0 214,215c219,220 < - libgfortran-ng=9.3.0=hff62375_19 < - libgfortran5=9.3.0=hff62375_19 --- > - libgfortran-ng=11.1.0=h69a702a_0 > - libgfortran5=11.1.0=h6c583b3_0 217c222 < - libgomp=9.3.0=h2828fa1_19 --- > - libgomp=11.1.0=hc902ee8_0 219,220c224,225 < - libidn2=2.3.1=h7f98852_0 < - libkml=1.3.0=h238a007_1013 --- > - libidn2=2.3.2=h7f98852_0 > - libkml=1.3.0=h238a007_1014 231c236 < - libprotobuf=3.17.2=h780b84a_0 --- > - libprotobuf=3.17.2=h780b84a_1 234c239 < - libspatialindex=1.9.3=h9c3ff4c_3 --- > - libspatialindex=1.9.3=h9c3ff4c_4 237c242 < - libstdcxx-ng=9.3.0=h6de172a_19 --- > - libstdcxx-ng=11.1.0=h56837e0_0 239c244 < - libunistring=0.9.10=h14c3975_0 --- > - libunistring=0.9.10=h7f98852_0 241c246 < - libuv=1.41.0=h7f98852_0 --- > - libuv=1.41.1=h7f98852_0 254a260 > - mapclassify=2.4.2=pyhd8ed1ab_0 260a267 > - mdit-py-plugins=0.2.8=pyhd8ed1ab_0 263c270 < - mistune=0.8.4=py37h5e8e339_1003 --- > - mistune=0.8.4=py37h5e8e339_1004 272a280 > - nbconvert=6.1.0=py37h89c1867_0 276c284 < - nc-time-axis=1.2.0=py_1 --- > - nc-time-axis=1.3.1=pyhd8ed1ab_2 282c290 < - networkx=2.5.1=pyhd8ed1ab_0 --- > - networkx=2.5=py_0 288,289c296,297 < - numcodecs=0.7.3=py37hcd2ae1e_0 < - numpy=1.20.3=py37h038b26d_1 --- > - numcodecs=0.8.0=py37hcd2ae1e_0 > - numpy=1.21.1=py37h038b26d_0 298c306 < - packaging=20.9=pyh44b312d_0 --- > - packaging=21.0=pyhd8ed1ab_0 300,301c308,309 < - pandas=1.2.4=py37h219a48f_0 < - pandoc=2.14.0.2=h7f98852_0 --- > - pandas=1.2.5=py37h219a48f_0 > - pandoc=2.14.1=h7f98852_0 303,304c311,312 < - panel=0.11.3=pyhd8ed1ab_0 < - param=1.10.1=pyhd3deb0d_0 --- > - panel=0.12.0=pyhd8ed1ab_0 > - param=1.11.1=pyh6c4a22f_0 308c316 < - pcre=8.44=he1b5a44_0 --- > - pcre=8.45=h9c3ff4c_0 313c321 < - pip=21.1.2=pyhd8ed1ab_0 --- > - pip=21.1.3=pyhd8ed1ab_0 315c323 < - plotly=4.14.3=pyh44b312d_0 --- > - plotly=5.1.0=pyhd8ed1ab_1 323,324c331,332 < - prompt-toolkit=3.0.18=pyha770c72_0 < - prompt_toolkit=3.0.18=hd8ed1ab_0 --- > - prompt-toolkit=3.0.19=pyha770c72_0 > - prompt_toolkit=3.0.19=hd8ed1ab_0 340c348 < - pygeos=0.10=py37h2d1e849_0 --- > - pygeos=0.10.1=py37h2d1e849_0 345c353 < - pyproj=3.0.1=py37h63c117d_0 --- > - pyproj=3.1.0=py37h20b8899_3 356c364 < - python-dateutil=2.8.1=py_0 --- > - python-dateutil=2.8.2=pyhd8ed1ab_0 360c368 < - python_abi=3.7=1_cp37m --- > - python_abi=3.7=2_cp37m 362c370,371 < - pyviz_comms=2.0.2=pyhd8ed1ab_0 --- > - pyu2f=0.1.5=pyhd8ed1ab_0 > - pyviz_comms=2.1.0=pyhd8ed1ab_0 367c376 < - qtconsole=5.1.0=pyhd8ed1ab_0 --- > - qtconsole=5.1.1=pyhd8ed1ab_0 371c380 < - ravenpy=0.5.2=pyh7f9bfb9_0 --- > - ravenpy=0.6.0=pyh1bb2064_2 374c383 < - requests=2.25.1=pyhd3deb0d_0 --- > - requests=2.26.0=pyhd8ed1ab_0 375a385 > - requests-unixsocket=0.2.0=py_0 377c387 < - rioxarray=0.4.1.post0=pyhd8ed1ab_0 --- > - rioxarray=0.5.0=pyhd8ed1ab_0 380,381c390,391 < - rtree=0.9.7=py37h0b55af0_1 < - ruamel.yaml=0.17.9=py37h5e8e339_0 --- > - rtree=0.9.7=py37h0b55af0_2 > - ruamel.yaml=0.17.10=py37h5e8e339_0 383c393 < - scikit-image=0.18.1=py37hdc94413_0 --- > - scikit-image=0.18.2=py37h219a48f_0 385,386c395,396 < - scipy=1.6.3=py37h29e03ee_0 < - send2trash=1.5.0=py_0 --- > - scipy=1.7.0=py37h29e03ee_1 > - send2trash=1.7.1=pyhd8ed1ab_0 397,398c407,408 < - sqlalchemy=1.4.18=py37h5e8e339_0 < - sqlite=3.35.5=h74cdb3f_0 --- > - sqlalchemy=1.4.22=py37h5e8e339_0 > - sqlite=3.36.0=h9cd32fc_0 400a411 > - tenacity=8.0.1=pyhd8ed1ab_0 403c414 < - threadpoolctl=2.1.0=pyh5ca1d4c_0 --- > - threadpoolctl=2.2.0=pyh8a188c0_0 411c422 < - tqdm=4.61.1=pyhd8ed1ab_0 --- > - tqdm=4.61.2=pyhd8ed1ab_1 416,417c427,428 < - tzcode=2021a=h7f98852_1 < - tzdata=2021a=he74cb21_0 --- > - tzcode=2021a=h7f98852_2 > - tzdata=2021a=he74cb21_1 419c430 < - urllib3=1.26.5=pyhd8ed1ab_0 --- > - urllib3=1.26.6=pyhd8ed1ab_0 428c439 < - wget=1.20.1=h22169c7_0 --- > - wget=1.20.3=ha56f1ee_0 434c445 < - xclim=0.27.0=pyhd8ed1ab_0 --- > - xclim=0.28.0=pyhd8ed1ab_0 436,439c447,450 < - xesmf=0.5.3=pyhd8ed1ab_0 < - xeus=1.0.3=h7d0c39e_1 < - xeus-python=0.12.4=py37h52ea871_0 < - xhistogram=0.2.0=pyhd8ed1ab_0 --- > - xesmf=0.6.0=pyhd8ed1ab_0 > - xeus=1.0.4=h7d0c39e_0 > - xeus-python=0.12.5=py37h4b46df4_2 > - xhistogram=0.3.0=pyhd8ed1ab_0 452c463 < - xskillscore=0.0.18=py_1 --- > - xskillscore=0.0.22=pyhd8ed1ab_0 455c466 < - yarl=1.6.3=py37h5e8e339_1 --- > - yarl=1.6.3=py37h5e8e339_2 460c471 < - zipp=3.4.1=pyhd8ed1ab_0 --- > - zipp=3.5.0=pyhd8ed1ab_0 468,469c479,480 < - handcalcs==1.3.0 < - innerscope==0.2.0 --- > - handcalcs==1.4.1 > - innerscope==0.5.0 472d482 < - nbconvert==5.6.1 ``` Full new `conda env export`: [210723-conda-env-export.yml.txt](https://github.com/Ouranosinc/PAVICS-e2e-workflow-tests/files/6870973/210723-conda-env-export.yml.txt) ``` name: birdy channels: - cdat - conda-forge - defaults dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=1_gnu - affine=2.3.0=py_0 - aiohttp=3.7.4.post0=py37h5e8e339_0 - alembic=1.6.5=pyhd8ed1ab_0 - alsa-lib=1.2.3=h516909a_0 - ansi2html=1.6.0=py37h89c1867_1 - anyio=3.3.0=py37h89c1867_0 - appdirs=1.4.4=pyh9f0ad1d_0 - argon2-cffi=20.1.0=py37h5e8e339_2 - 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tk=8.6.10=h21135ba_1 - toml=0.10.2=pyhd8ed1ab_0 - toolz=0.11.1=py_0 - tornado=6.1=py37h5e8e339_1 - tqdm=4.61.2=pyhd8ed1ab_1 - traitlets=5.0.5=py_0 - traittypes=0.2.1=pyh9f0ad1d_2 - typing-extensions=3.10.0.0=hd8ed1ab_0 - typing_extensions=3.10.0.0=pyha770c72_0 - tzcode=2021a=h7f98852_2 - tzdata=2021a=he74cb21_1 - udunits2=2.2.27.27=h975c496_1 - urllib3=1.26.6=pyhd8ed1ab_0 - vcs=8.2.1=pyh9f0ad1d_0 - voila=0.2.10=pyhd8ed1ab_0 - vtk-cdat=8.2.0.8.2=py37_mesalibhead77ed_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - webencodings=0.5.1=py_1 - webob=1.8.7=pyhd8ed1ab_0 - websocket-client=0.57.0=py37h89c1867_4 - werkzeug=2.0.1=pyhd8ed1ab_0 - wget=1.20.3=ha56f1ee_0 - wheel=0.36.2=pyhd3deb0d_0 - widgetsnbextension=3.5.1=py37h89c1867_4 - wrapt=1.12.1=py37h5e8e339_3 - x264=1!152.20180806=h14c3975_0 - xarray=0.18.2=pyhd8ed1ab_0 - xclim=0.28.0=pyhd8ed1ab_0 - xerces-c=3.2.3=h9d8b166_2 - xesmf=0.6.0=pyhd8ed1ab_0 - xeus=1.0.4=h7d0c39e_0 - xeus-python=0.12.5=py37h4b46df4_2 - xhistogram=0.3.0=pyhd8ed1ab_0 - xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.0.10=h7f98852_0 - xorg-libsm=1.2.3=hd9c2040_1000 - xorg-libx11=1.7.2=h7f98852_0 - xorg-libxau=1.0.9=h7f98852_0 - xorg-libxdmcp=1.1.3=h7f98852_0 - xorg-libxext=1.3.4=h7f98852_1 - xorg-libxrender=0.9.10=h7f98852_1003 - xorg-renderproto=0.11.1=h7f98852_1002 - xorg-xextproto=7.3.0=h7f98852_1002 - xorg-xproto=7.0.31=h7f98852_1007 - xrft=0.3.0=pyhd8ed1ab_0 - xskillscore=0.0.22=pyhd8ed1ab_0 - xz=5.2.5=h516909a_1 - yaml=0.2.5=h516909a_0 - yarl=1.6.3=py37h5e8e339_2 - zarr=2.8.3=pyhd8ed1ab_0 - zeromq=4.3.4=h9c3ff4c_0 - zfp=0.5.5=h9c3ff4c_5 - zict=2.0.0=py_0 - zipp=3.5.0=pyhd8ed1ab_0 - zlib=1.2.11=h516909a_1010 - zstd=1.4.9=ha95c52a_0 - pip: - astunparse==1.6.3 - cdms2==3.1.5 - colour==0.1.5 - geojson==2.5.0 - handcalcs==1.4.1 - innerscope==0.5.0 - ipython-blocking==0.2.1 - jupyternotify==0.1.15 - nbresuse==0.4.0 - pixiedust==1.1.19 - pymetalink==6.2 - pytest-tornasync==0.6.0.post2 - regrid2==3.1.5 - requests-magpie==0.1.1 prefix: /opt/conda/envs/birdy ```
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Jul 29, 2021
docker: update to JupyterLab v3 and fix broken jupyterlab-system-monitor plugin # Overview JupyterLab v3 was available since January 2021 but we had to pin to v2 since many of the plugins we use were broken at the time for v3. Fast forward 7 months later, only the Google Drive plugin still do not support JupyterLab v3 so we decided to drop it since it was only used by one single user (`ls -larth /data/jupyterhub_user_data/*/.home/.jupyter/lab/user-settings/@jupyterlab/google-drive /dev/null` shows who uses it). We have not enabled the system-wide Google Drive config due to security concern so each user had to configure it themselves separately. Staying on JupyterLab v2 caused us the reverse problem, some plugins stopped working with v2, example the jupyterlab-system-monitor one. That one is becoming more crucial as we have more and more users and we would like users to be aware of their resource consumptions on the system. This PR fixes #83, the jupyterlab-system-monitor problem. ## Changes - Update to JupyterLab v3 - Update install steps for all plugins to be compatible with JupyterLab v3 - Drop Google Drive plugin since not compatible with v3 - Fix jupyterlab-system-monitor plugin, was broken with v2 - Unpin pandas as xarray issue pydata/xarray/issues/5588 fixed - Picked up latest RavenPy 0.7.0 - Relevant packages changes: ```diff < - jupyterlab=2.2.9=pyhd8ed1ab_0 > - jupyterlab=3.1.0=pyhd8ed1ab_0 < - jupyterlab_server=1.2.0=py_0 > - jupyterlab_server=2.6.1=pyhd8ed1ab_0 < - jupyter-archive=2.2.0=pyhd8ed1ab_0 > - jupyter-archive=3.0.1=pyhd8ed1ab_0 < - jupyter_bokeh=2.0.4=pyhd8ed1ab_0 > - jupyter_bokeh=3.0.2=pyhd8ed1ab_0 < - jupyterlab-git=0.24.0=pyhd8ed1ab_0 > - jupyterlab-git=0.31.0=pyhd8ed1ab_0 < - nbdime=2.1.0=py_0 > - nbdime=3.1.0=pyhd8ed1ab_0 # Pip to Conda package < - nbresuse==0.4.0 > - nbresuse=0.4.0=pyhd8ed1ab_0 > - nbclassic=0.3.1=pyhd8ed1ab_1 > - jupyterlab-system-monitor=0.8.0=pyhd8ed1ab_1 > - jupyter-resource-usage=0.5.1=pyhd8ed1ab_0 > - jupyterlab-topbar=0.6.1=pyhd8ed1ab_2 > - jupyterlab-logout=0.5.0 < - jupyter_conda=5.1.1=hd8ed1ab_0 < - ravenpy=0.6.0=pyh1bb2064_2 > - ravenpy=0.7.0=pyh1bb2064_0 < - pandas=1.2.5=py37h219a48f_0 > - pandas=1.3.1=py37h219a48f_0 < - xarray=0.18.2=pyhd8ed1ab_0 > - xarray=0.19.0=pyhd8ed1ab_1 < - dask=2021.7.0=pyhd8ed1ab_0 > - dask=2021.7.1=pyhd8ed1ab_0 < - regionmask=0.6.2=pyhd8ed1ab_0 > - regionmask=0.7.0=pyhd8ed1ab_0 ``` ## Additional Information Screenshot showing differences between v2 vs v3 and the working jupyterlab-system-monitor plugin.  Bokeh and pyviz testing by running `ClimateDataAnalysis-5Visualization.ipynb` on the old and new Jupyter env and manually comparing the graphics generated. They look similar. Jenkins build all passed https://daccs-jenkins.crim.ca/job/PAVICS-e2e-workflow-tests/job/update-to-jupyterlab-v3/7/console (CRIM Jenkins) Notebooks fixes required for the above passing Jenkins build: * Ouranosinc/pavics-sdi#224 * bird-house/finch#196 * Ouranosinc/PAVICS-landing#30 Jenkins build for Raven nb, all passed: http://jenkins.ouranos.ca/job/PAVICS-e2e-workflow-tests/job/update-to-jupyterlab-v3/5/console Matching PR to deploy this new Jupyter env to PAVICS: bird-house/birdhouse-deploy#185 Full diff of `conda env export`: [210723-210728-conda-env-export.diff.txt](https://github.com/Ouranosinc/PAVICS-e2e-workflow-tests/files/6896271/210723-210728-conda-env-export.diff.txt) ```diff 20a21 > - babel=2.9.1=pyh44b312d_0 71c72 < - curl=7.77.0=hea6ffbf_0 --- > - curl=7.78.0=hea6ffbf_0 74,76c75,77 < - dash=1.20.0=pyhd8ed1ab_0 < - dash-core-components=1.16.0=pyhd8ed1ab_0 < - dash-html-components=1.1.3=pyhd8ed1ab_0 --- > - dash=1.21.0=pyhd8ed1ab_0 > - dash-core-components=1.17.1=pyhd8ed1ab_0 > - dash-html-components=1.1.4=pyhd8ed1ab_0 78,80c79,81 < - dash-table=4.11.3=pyhd8ed1ab_0 < - dask=2021.7.0=pyhd8ed1ab_0 < - dask-core=2021.7.0=pyhd8ed1ab_0 --- > - dash-table=4.12.0=pyhd8ed1ab_0 > - dask=2021.7.1=pyhd8ed1ab_0 > - dask-core=2021.7.1=pyhd8ed1ab_0 85c86 < - debugpy=1.4.0=py37hcd2ae1e_0 --- > - debugpy=1.4.1=py37hcd2ae1e_0 90c91 < - distributed=2021.7.0=py37h89c1867_0 --- > - distributed=2021.7.1=py37h89c1867_0 127c128 < - gitpython=3.1.19=pyhd8ed1ab_0 --- > - gitpython=3.1.20=pyhd8ed1ab_0 138a140 > - haversine=2.3.1=pyhd8ed1ab_0 173c175 < - jupyter-archive=2.2.0=pyhd8ed1ab_0 --- > - jupyter-archive=3.0.1=pyhd8ed1ab_0 175c177,179 < - jupyter_bokeh=2.0.4=pyhd8ed1ab_0 --- > - jupyter-resource-usage=0.5.1=pyhd8ed1ab_0 > - jupyter-server-mathjax=0.2.3=pyhd8ed1ab_0 > - jupyter_bokeh=3.0.2=pyhd8ed1ab_0 177d180 < - jupyter_conda=5.1.1=hd8ed1ab_0 184,185c187,190 < - jupyterlab=2.2.9=pyhd8ed1ab_0 < - jupyterlab-git=0.24.0=pyhd8ed1ab_0 --- > - jupyterlab=3.1.0=pyhd8ed1ab_0 > - jupyterlab-git=0.31.0=pyhd8ed1ab_0 > - jupyterlab-system-monitor=0.8.0=pyhd8ed1ab_1 > - jupyterlab-topbar=0.6.1=pyhd8ed1ab_2 187c192 < - jupyterlab_server=1.2.0=py_0 --- > - jupyterlab_server=2.6.1=pyhd8ed1ab_0 193c198 < - krb5=1.19.1=hcc1bbae_0 --- > - krb5=1.19.2=hcc1bbae_0 197c202 < - ld_impl_linux-64=2.36.1=hea4e1c9_1 --- > - ld_impl_linux-64=2.36.1=hea4e1c9_2 208c213 < - libcurl=7.77.0=h2574ce0_0 --- > - libcurl=7.78.0=h2574ce0_0 217c222 < - libgcc-ng=11.1.0=hc902ee8_0 --- > - libgcc-ng=11.1.0=hc902ee8_2 222c227 < - libgomp=11.1.0=hc902ee8_0 --- > - libgomp=11.1.0=hc902ee8_2 242c247 < - libstdcxx-ng=11.1.0=h56837e0_0 --- > - libstdcxx-ng=11.1.0=h56837e0_2 260c265 < - mapclassify=2.4.2=pyhd8ed1ab_0 --- > - mapclassify=2.4.3=pyhd8ed1ab_0 278a284 > - nbclassic=0.3.1=pyhd8ed1ab_1 281c287 < - nbdime=2.1.0=py_0 --- > - nbdime=3.1.0=pyhd8ed1ab_0 282a289 > - nbresuse=0.4.0=pyhd8ed1ab_0 308c315 < - pandas=1.2.5=py37h219a48f_0 --- > - pandas=1.3.1=py37h219a48f_0 321c328 < - pip=21.1.3=pyhd8ed1ab_0 --- > - pip=21.2.1=pyhd8ed1ab_0 380c387 < - ravenpy=0.6.0=pyh1bb2064_2 --- > - ravenpy=0.7.0=pyh1bb2064_0 382c389 < - regionmask=0.6.2=pyhd8ed1ab_0 --- > - regionmask=0.7.0=pyhd8ed1ab_0 444c451 < - xarray=0.18.2=pyhd8ed1ab_0 --- > - xarray=0.19.0=pyhd8ed1ab_1 481a489 > - jupyterlab-logout==0.5.0 483d490 < - nbresuse==0.4.0 ``` Full new `conda env export`: [210728-conda-env-export.yml.txt](https://github.com/Ouranosinc/PAVICS-e2e-workflow-tests/files/6896274/210728-conda-env-export.yml.txt) ``` name: birdy channels: - cdat - conda-forge - defaults dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=1_gnu - affine=2.3.0=py_0 - aiohttp=3.7.4.post0=py37h5e8e339_0 - alembic=1.6.5=pyhd8ed1ab_0 - alsa-lib=1.2.3=h516909a_0 - ansi2html=1.6.0=py37h89c1867_1 - anyio=3.3.0=py37h89c1867_0 - appdirs=1.4.4=pyh9f0ad1d_0 - argon2-cffi=20.1.0=py37h5e8e339_2 - asciitree=0.3.3=py_2 - async-timeout=3.0.1=py_1000 - async_generator=1.10=py_0 - attrs=21.2.0=pyhd8ed1ab_0 - babel=2.9.1=pyh44b312d_0 - backcall=0.2.0=pyh9f0ad1d_0 - backports=1.0=py_2 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.9.3=pyhb0f4dca_0 - birdy=v0.8.0=pyh6c4a22f_1 - bleach=3.3.1=pyhd8ed1ab_0 - blinker=1.4=py_1 - blosc=1.21.0=h9c3ff4c_0 - bokeh=2.3.3=py37h89c1867_0 - boltons=21.0.0=pyhd8ed1ab_0 - boost-cpp=1.74.0=hc6e9bd1_3 - bottleneck=1.3.2=py37h902c9e0_3 - branca=0.4.2=pyhd8ed1ab_0 - brotli=1.0.9=h7f98852_5 - brotli-bin=1.0.9=h7f98852_5 - brotli-python=1.0.9=py37hcd2ae1e_5 - brotlipy=0.7.0=py37h5e8e339_1001 - brunsli=0.1=h9c3ff4c_0 - bzip2=1.0.8=h7f98852_4 - c-ares=1.17.1=h7f98852_1 - ca-certificates=2021.5.30=ha878542_0 - cached-property=1.5.2=hd8ed1ab_1 - cached_property=1.5.2=pyha770c72_1 - cachetools=4.2.2=pyhd8ed1ab_0 - cairo=1.16.0=h6cf1ce9_1008 - cartopy=0.19.0.post1=py37h0c48da3_0 - cdat_info=8.2.1=pyh9f0ad1d_1 - cdtime=3.1.4=py37h5ad02f4_2 - cdutil=8.2.1=pyh9f0ad1d_0 - certifi=2021.5.30=py37h89c1867_0 - certipy=0.1.3=py_0 - cf_xarray=0.6.0=pyh6c4a22f_0 - cffi=1.14.6=py37hc58025e_0 - cfgrib=0.9.9.0=pyhd8ed1ab_1 - cfitsio=3.470=hb418390_7 - cftime=1.5.0=py37h6f94858_0 - chardet=4.0.0=py37h89c1867_1 - charls=2.2.0=h9c3ff4c_0 - charset-normalizer=2.0.0=pyhd8ed1ab_0 - click=7.1.2=pyh9f0ad1d_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_0 - climpred=2.1.4=pyhd8ed1ab_0 - clisops=0.6.5=pyh6c4a22f_0 - cloudpickle=1.6.0=py_0 - colorama=0.4.4=pyh9f0ad1d_0 - colorcet=2.0.6=pyhd8ed1ab_0 - configurable-http-proxy=4.5.0=node15_he6ea98c_0 - coverage=5.5=py37h5e8e339_0 - cryptography=3.4.7=py37h5d9358c_0 - curl=7.78.0=hea6ffbf_0 - cycler=0.10.0=py_2 - cytoolz=0.11.0=py37h5e8e339_3 - dash=1.21.0=pyhd8ed1ab_0 - dash-core-components=1.17.1=pyhd8ed1ab_0 - dash-html-components=1.1.4=pyhd8ed1ab_0 - dash-renderer=1.9.1=pyhd8ed1ab_0 - dash-table=4.12.0=pyhd8ed1ab_0 - dask=2021.7.1=pyhd8ed1ab_0 - dask-core=2021.7.1=pyhd8ed1ab_0 - dataclasses=0.8=pyhc8e2a94_1 - datashader=0.13.0=pyh6c4a22f_0 - datashape=0.5.4=py_1 - dbus=1.13.6=h48d8840_2 - debugpy=1.4.1=py37hcd2ae1e_0 - decorator=5.0.9=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - descartes=1.1.0=py_4 - distarray=2.12.2=pyhd8ed1ab_2 - distributed=2021.7.1=py37h89c1867_0 - docopt=0.6.2=py_1 - docrep=0.3.2=pyh44b312d_0 - dv3d=8.2.1=pyh9f0ad1d_0 - eccodes=2.21.0=ha0e6eb6_0 - entrypoints=0.3=pyhd8ed1ab_1003 - eofs=1.4.0=py_0 - esgf-compute-api=2.3.9=0_h1234567_ - esmf=8.1.0=nompi_hed08645_0 - esmpy=8.1.0=nompi_py37hff16fce_0 - expat=2.4.1=h9c3ff4c_0 - fasteners=0.16=pyhd8ed1ab_0 - fastprogress=1.0.0=py_0 - ffmpeg=4.2.3=h167e202_0 - fiona=1.8.18=py37h527b4ca_0 - flask=2.0.1=pyhd8ed1ab_0 - flask-compress=1.10.1=pyhd8ed1ab_0 - fontconfig=2.13.1=hba837de_1005 - freetype=2.10.4=h0708190_1 - freexl=1.0.6=h7f98852_0 - fsspec=2021.7.0=pyhd8ed1ab_0 - funcsigs=1.0.2=py_3 - future=0.18.2=py37h89c1867_3 - g2clib=1.6.3=hdfa6d74_0 - gcsfs=2021.7.0=pyhd8ed1ab_0 - gdal=3.1.4=py37h2ec2946_8 - genutil=8.2.1=py37h161383b_1 - geopandas=0.9.0=pyhd8ed1ab_1 - geopandas-base=0.9.0=pyhd8ed1ab_1 - geos=3.9.1=h9c3ff4c_2 - geotiff=1.6.0=h2b14fbe_4 - geoviews=1.9.1=pyhd8ed1ab_0 - geoviews-core=1.9.1=pyha770c72_0 - gettext=0.19.8.1=h0b5b191_1005 - ghostscript=9.54.0=h9c3ff4c_1 - giflib=5.2.1=h36c2ea0_2 - gitdb=4.0.7=pyhd8ed1ab_0 - gitpython=3.1.20=pyhd8ed1ab_0 - glib=2.68.3=h9c3ff4c_0 - glib-tools=2.68.3=h9c3ff4c_0 - gmp=6.2.1=h58526e2_0 - gnutls=3.6.13=h85f3911_1 - google-auth=1.33.1=pyh6c4a22f_0 - google-auth-oauthlib=0.4.4=pyhd8ed1ab_0 - greenlet=1.1.0=py37hcd2ae1e_0 - gst-plugins-base=1.18.4=hf529b03_2 - gstreamer=1.18.4=h76c114f_2 - h5netcdf=0.11.0=pyhd8ed1ab_0 - h5py=3.3.0=nompi_py37ha3df211_100 - haversine=2.3.1=pyhd8ed1ab_0 - hdf4=4.2.15=h10796ff_3 - hdf5=1.10.6=nompi_h6a2412b_1114 - heapdict=1.0.1=py_0 - holoviews=1.14.5=pyhd8ed1ab_0 - hvplot=0.7.3=pyh6c4a22f_0 - icu=68.1=h58526e2_0 - idna=3.1=pyhd3deb0d_0 - imagecodecs=2021.3.31=py37haf4b6ec_0 - imageio=2.9.0=py_0 - importlib-metadata=4.6.1=py37h89c1867_0 - importlib_metadata=4.6.1=hd8ed1ab_0 - importlib_resources=5.2.0=pyhd8ed1ab_0 - iniconfig=1.1.1=pyh9f0ad1d_0 - intake=0.6.2=pyhd8ed1ab_0 - intake-esm=2021.1.15=pyhd8ed1ab_0 - intake-geopandas=0.2.4=pyhd8ed1ab_0 - intake-thredds=2021.6.16=pyhd8ed1ab_0 - 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xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.0.10=h7f98852_0 - xorg-libsm=1.2.3=hd9c2040_1000 - xorg-libx11=1.7.2=h7f98852_0 - xorg-libxau=1.0.9=h7f98852_0 - xorg-libxdmcp=1.1.3=h7f98852_0 - xorg-libxext=1.3.4=h7f98852_1 - xorg-libxrender=0.9.10=h7f98852_1003 - xorg-renderproto=0.11.1=h7f98852_1002 - xorg-xextproto=7.3.0=h7f98852_1002 - xorg-xproto=7.0.31=h7f98852_1007 - xrft=0.3.0=pyhd8ed1ab_0 - xskillscore=0.0.22=pyhd8ed1ab_0 - xz=5.2.5=h516909a_1 - yaml=0.2.5=h516909a_0 - yarl=1.6.3=py37h5e8e339_2 - zarr=2.8.3=pyhd8ed1ab_0 - zeromq=4.3.4=h9c3ff4c_0 - zfp=0.5.5=h9c3ff4c_5 - zict=2.0.0=py_0 - zipp=3.5.0=pyhd8ed1ab_0 - zlib=1.2.11=h516909a_1010 - zstd=1.4.9=ha95c52a_0 - pip: - astunparse==1.6.3 - cdms2==3.1.5 - colour==0.1.5 - geojson==2.5.0 - handcalcs==1.4.1 - innerscope==0.5.0 - ipython-blocking==0.2.1 - jupyterlab-logout==0.5.0 - jupyternotify==0.1.15 - pixiedust==1.1.19 - pymetalink==6.2 - pytest-tornasync==0.6.0.post2 - regrid2==3.1.5 - requests-magpie==0.1.1 prefix: /opt/conda/envs/birdy ```
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Yesterday in the dev call we discussed the need for another release. Not sure if this should be a bugfix release (i.e. v0.18.3) or a full release (i.e. v0.19). Last release (v0.18.2) was 19th May, with v0.18.0 on 6th May.
@pydata/xarray
Bug fixes:
kindargument inCFTimeIndex._maybe_cast_slice_boundoptional #5359 (this one needs to be released soon really)New features:
xr.unify_chunks()top level method #5445Internal:
master->mainupdate references tomaster#5520Nice to merge first?:
__repr__updates #5580The text was updated successfully, but these errors were encountered: