conda-forge / jupyter_events-feedstock

A conda-smithy repository for jupyter_events.
BSD 3-Clause "New" or "Revised" License
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Older recipe builds for v7.0.0 are incorrect #17

Closed pp-mo closed 1 year ago

pp-mo commented 1 year ago

Solution to issue cannot be found in the documentation.

Issue

I am using conda/mamba to create an env with a large number of packages, including Jupyter and clize. The latest version of "jupyter_events" requires the "referencing" package, which itself is quite new and requires "attrs>=22.2.0".

The 'clize' recipe is poorly maintained and requires attrs >=19.1.0,<20.

However, the actual bug is that this restriction cause an env to be created using clize-4.2.1-pyhd8ed1ab_0, and not including 'referencing'. Which naturally does not function (crashes when Jupyter is launched). If the deps were correctly recorded, this env create would actually fail, which is in fact the correct answer.

So the older recipe builds should really be withdrawn or fixed.
I think both "_0" and "_1" are wrong in this way

Installed packages

# Generated by conda-lock.
_libgcc_mutex-0.1-conda_forge.tar.bz2
ca-certificates-2023.7.22-hbcca054_0.conda
font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
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font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
font-ttf-ubuntu-0.83-hab24e00_0.tar.bz2
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libstdcxx-ng-13.1.0-hfd8a6a1_0.conda
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poppler-data-0.4.12-hd8ed1ab_0.conda
python_abi-3.9-3_cp39.conda
tzdata-2023c-h71feb2d_0.conda
fonts-conda-forge-1-0.tar.bz2
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fonts-conda-ecosystem-1-0.tar.bz2
libgcc-ng-13.1.0-he5830b7_0.conda
alsa-lib-1.2.8-h166bdaf_0.tar.bz2
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charls-2.4.2-h59595ed_0.conda
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fftw-3.3.10-nompi_hc118613_108.conda
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geos-3.11.1-h27087fc_0.tar.bz2
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bleach-6.0.0-pyhd8ed1ab_0.conda
brunsli-0.1-h9c3ff4c_0.tar.bz2
cached-property-1.5.2-hd8ed1ab_1.tar.bz2
cairo-1.16.0-ha61ee94_1014.tar.bz2
cffi-1.15.1-py39he91dace_3.conda
cfitsio-4.2.0-hd9d235c_0.conda
cftime-1.6.2-py39h2ae25f5_1.tar.bz2
click-plugins-1.1.1-py_0.tar.bz2
cligj-0.7.2-pyhd8ed1ab_1.tar.bz2
comm-0.1.3-pyhd8ed1ab_0.conda
configobj-5.0.8-pyhd8ed1ab_0.conda
contourpy-1.1.0-py39h7633fee_0.conda
coverage-7.2.7-py39hd1e30aa_0.conda
curl-8.1.2-h409715c_0.conda
cytoolz-0.12.2-py39hd1e30aa_0.conda
flake8-6.1.0-pyhd8ed1ab_0.conda
fonttools-4.41.1-py39hd1e30aa_0.conda
glib-2.76.4-hfc55251_0.conda
gsw-3.6.17-py39h0f8d45d_0.conda
hdf5-1.12.2-nompi_h4df4325_101.conda
importlib-metadata-6.8.0-pyha770c72_0.conda
importlib_resources-6.0.0-pyhd8ed1ab_1.conda
isort-5.12.0-pyhd8ed1ab_1.conda
jedi-0.18.2-pyhd8ed1ab_0.conda
jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2
joblib-1.3.0-pyhd8ed1ab_1.conda
jupyterlab_pygments-0.2.2-pyhd8ed1ab_0.tar.bz2
libclang-15.0.7-default_h7634d5b_3.conda
libgd-2.3.3-h5aea950_4.conda
libgoogle-cloud-2.12.0-hac9eb74_1.conda
libva-2.18.0-h0b41bf4_0.conda
matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2
metdb-0.16.0-py39_0.tar.bz2
mo_pack-0.2.0-py39h2ae25f5_1008.tar.bz2
numba-0.57.1-py39hb75a051_0.conda
numcodecs-0.11.0-py39h227be39_1.conda
numexpr-2.8.4-py39h8825413_101.conda
odc-1.4.4-h5cbd905_1.tar.bz2
openpyxl-3.1.2-py39hd1e30aa_0.conda
overrides-7.3.1-pyhd8ed1ab_0.tar.bz2
partd-1.4.0-pyhd8ed1ab_0.conda
pexpect-4.8.0-pyh1a96a4e_2.tar.bz2
pillow-9.4.0-py39h2320bf1_1.conda
postgresql-15.2-h3248436_0.conda
proj-9.1.1-h8ffa02c_2.conda
psycopg2-2.9.3-py39h24a400a_2.conda
pulseaudio-client-16.1-h5195f5e_3.conda
pyerfa-2.0.0.3-py39h389d5f1_0.conda
pyhdf-0.11.3-py39h4fd2b1f_0.conda
pytest-7.4.0-pyhd8ed1ab_0.conda
python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
python-docx-0.8.11-pyhd8ed1ab_0.tar.bz2
pywavelets-1.4.1-py39h389d5f1_0.conda
rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
shapely-2.0.1-py39hc9151fd_0.conda
sigtools-2.0.3-pyhd8ed1ab_1.tar.bz2
sip-6.7.10-py39h3d6467e_0.conda
snuggs-1.4.7-py_0.tar.bz2
terminado-0.17.1-pyh41d4057_0.conda
tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2
typing-extensions-4.7.1-hd8ed1ab_0.conda
urllib3-2.0.4-pyhd8ed1ab_0.conda
xerces-c-3.2.4-h55805fa_1.tar.bz2
xorg-libxi-1.7.10-h7f98852_0.tar.bz2
zope.interface-6.0-py39h72bdee0_0.conda
argon2-cffi-bindings-21.2.0-py39hb9d737c_3.tar.bz2
arrow-1.2.3-pyhd8ed1ab_0.tar.bz2
astroid-2.15.6-py39hf3d152e_0.conda
astropy-5.3.1-py39h0f8d45d_0.conda
aws-c-s3-0.3.13-heb0bb06_2.conda
cf-units-3.2.0-py39h0f8d45d_0.conda
clize-4.2.1-pyhd8ed1ab_0.tar.bz2
docxtpl-0.11.5-pyhd8ed1ab_0.tar.bz2
ffmpeg-5.1.2-gpl_h8dda1f0_106.conda
fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
freeglut-3.2.2-h9c3ff4c_1.tar.bz2
geotiff-1.7.1-h7a142b4_6.conda
gstreamer-1.22.0-h25f0c4b_2.conda
h5py-3.7.0-nompi_py39h817c9c5_102.tar.bz2
harfbuzz-6.0.0-h8e241bc_0.conda
imagecodecs-2023.1.23-py39hd061359_0.conda
imageio-2.31.1-pyh24c5eb1_0.conda
importlib-resources-6.0.0-pyhd8ed1ab_1.conda
importlib_metadata-6.8.0-hd8ed1ab_0.conda
jsonschema-4.17.3-pyhd8ed1ab_0.conda
jupyter_server_terminals-0.4.4-pyhd8ed1ab_1.conda
kealib-1.5.0-ha7026e8_0.conda
libnetcdf-4.8.1-nompi_h261ec11_106.tar.bz2
libspatialite-5.0.1-h221c8f1_23.conda
pandas-2.0.3-py39h40cae4c_1.conda
platformdirs-3.10.0-pyhd8ed1ab_0.conda
poppler-23.01.0-h091648b_0.conda
pulseaudio-daemon-16.1-ha8d29e2_3.conda
pyproj-3.5.0-py39hf8a5840_0.conda
pyqt5-sip-12.12.2-py39h3d6467e_4.conda
pytables-3.7.0-py39h6a7961f_3.tar.bz2
pytest-xdist-3.3.1-pyhd8ed1ab_0.conda
requests-2.31.0-pyhd8ed1ab_0.conda
sqlalchemy-2.0.19-py39hd1e30aa_0.conda
stack_data-0.6.2-pyhd8ed1ab_0.conda
tiledb-2.13.2-hd532e3d_0.conda
wcwidth-0.2.6-pyhd8ed1ab_0.conda
zarr-2.16.0-pyhd8ed1ab_0.conda
argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2
aws-crt-cpp-0.20.3-he9c0e7f_4.conda
black-23.7.0-py39hf3d152e_1.conda
bokeh-3.2.1-pyhd8ed1ab_0.conda
dask-core-2023.7.1-pyhd8ed1ab_0.conda
gst-plugins-base-1.22.0-h4243ec0_2.conda
isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
jasper-2.0.33-h0ff4b12_1.conda
jupyter_core-5.3.1-py39hf3d152e_0.conda
libgdal-3.6.2-h8c90c07_6.conda
matplotlib-base-3.7.2-py39h0126182_0.conda
netcdf-fortran-4.6.0-nompi_he1eeb6f_102.conda
netcdf4-1.6.2-nompi_py39hfaa66c4_100.tar.bz2
owslib-0.29.2-pyhd8ed1ab_0.conda
pango-1.50.14-hd33c08f_0.conda
pooch-1.7.0-pyha770c72_3.conda
prompt-toolkit-3.0.39-pyha770c72_0.conda
pulseaudio-16.1-hcb278e6_3.conda
pylint-2.17.5-pyhd8ed1ab_0.conda
pyodc-1.3.0-pyhd8ed1ab_0.conda
sphinx-6.2.1-pyhd8ed1ab_0.conda
tifffile-2023.7.18-pyhd8ed1ab_0.conda
xarray-2023.7.0-pyhd8ed1ab_0.conda
aws-sdk-cpp-1.10.57-hbc2ea52_17.conda
distributed-2023.7.1-pyhd8ed1ab_0.conda
eccodes-2.28.0-h7513371_1.conda
esmf-8.4.0-nompi_hdb2cfa9_4.conda
gdal-3.6.2-py39hc6cd174_6.conda
gtk2-2.24.33-h90689f9_2.tar.bz2
image-meta-tag-0.7.13-py39hf3d152e_0.conda
jsonschema-with-format-nongpl-4.17.3-pyhd8ed1ab_0.conda
jupyter_client-8.3.0-pyhd8ed1ab_0.conda
librsvg-2.54.4-h7abd40a_0.tar.bz2
nbformat-5.9.2-pyhd8ed1ab_0.conda
nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2
prompt_toolkit-3.0.39-hd8ed1ab_0.conda
python-stratify-0.3.0-py39h0f8d45d_0.conda
pyugrid-0.3.1-py_2.tar.bz2
qt-main-5.15.8-h5d23da1_6.conda
rasterio-1.3.6-py39h09b1985_0.conda
scipy-1.10.1-py39h6183b62_3.conda
sphinxcontrib-jquery-4.1-pyhd8ed1ab_0.conda
ugrid-checks-0.2.0-pyhd8ed1ab_0.tar.bz2
cartopy-0.21.1-py39h6e7ad6e_0.conda
esmpy-8.4.0-nompi_py39h95eafd8_2.conda
fiona-1.9.1-py39hbc5ff6d_0.conda
graphviz-7.1.0-h2e5815a_0.conda
imagehash-4.3.1-pyhd8ed1ab_0.tar.bz2
ipython-8.14.0-pyh41d4057_0.conda
jupyter_events-0.7.0-pyhd8ed1ab_0.conda
libarrow-12.0.1-hd2d78f0_7_cpu.conda
libopencv-4.7.0-py39hb375605_0.conda
nbclient-0.8.0-pyhd8ed1ab_0.conda
patsy-0.5.3-pyhd8ed1ab_0.tar.bz2
pyqt-5.15.9-py39h52134e7_4.conda
python-eccodes-1.6.0-py39h0f8d45d_0.conda
scikit-image-0.21.0-py39h3d6467e_0.conda
scikit-learn-1.3.0-py39hc236052_0.conda
seaborn-base-0.12.2-pyhd8ed1ab_0.conda
sphinx_rtd_theme-1.2.2-pyha770c72_0.conda
cartopy_offlinedata-0.21.1-pyhd8ed1ab_0.conda
ipykernel-6.25.0-pyh71e2992_0.conda
ipywidgets-8.1.0-pyhd8ed1ab_0.conda
iris-3.6.1-pyha770c72_0.conda
matplotlib-3.7.2-py39hf3d152e_0.conda
nbconvert-core-7.7.3-pyhd8ed1ab_0.conda
py-opencv-4.7.0-py39hcca971b_0.conda
pyarrow-12.0.1-py39hfbd5978_7_cpu.conda
python-graphviz-0.20.1-pyh22cad53_0.tar.bz2
statsmodels-0.14.0-py39h0f8d45d_1.conda
agg-regrid-0.2.2-py39hde0f152_1001.tar.bz2
ascend-2.5.1-py_0.tar.bz2
dask-2023.7.1-pyhd8ed1ab_0.conda
iris-grib-0.18.0-pyhd8ed1ab_0.tar.bz2
jupyter_server-2.7.0-pyhd8ed1ab_0.conda
opencv-4.7.0-py39hf3d152e_0.conda
seaborn-0.12.2-hd8ed1ab_0.conda
iris-esmf-regrid-0.7.0-pyhd8ed1ab_0.conda
jupyter-lsp-2.2.0-pyhd8ed1ab_0.conda
jupyterlab_server-2.24.0-pyhd8ed1ab_0.conda
notebook-shim-0.2.3-pyhd8ed1ab_0.conda
pysteps-1.7.4-py39hd1e30aa_0.conda
jupyterlab-4.0.3-pyhd8ed1ab_0.conda
notebook-7.0.1-pyhd8ed1ab_0.conda

# N.B. you can see that there are 3 packages here from internal sources

Environment info

$ conda info

     active environment : ssstack
    active env location : /tmp/persistent/newconda-envs/ssstack
            shell level : 1
       user config file : /home/h05/itpp/.condarc
 populated config files : /etc/conda/condarc
                          /home/h05/itpp/.condarc
          conda version : 4.14.0
    conda-build version : not installed
         python version : 3.9.7.final.0
       virtual packages : __linux=3.10.0=0
                          __glibc=2.17=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /home/h05/itpp/miniconda3  (writable)
      conda av data dir : /home/h05/itpp/miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://metoffice.jfrog.io/metoffice/api/conda/conda-forge/linux-64
                          https://metoffice.jfrog.io/metoffice/api/conda/conda-forge/noarch
                          https://metoffice.jfrog.io/metoffice/api/conda/conda-main/linux-64
                          https://metoffice.jfrog.io/metoffice/api/conda/conda-main/noarch
                          https://metoffice.jfrog.io/metoffice/api/conda/conda-mo-internal/linux-64
                          https://metoffice.jfrog.io/metoffice/api/conda/conda-mo-internal/noarch
                          https://metoffice.jfrog.io/metoffice/api/conda/conda-r/linux-64
                          https://metoffice.jfrog.io/metoffice/api/conda/conda-r/noarch
          package cache : /tmp/persistent/newconda-pkgs
                          /tmp/persistent/avd/ng-vat/conda/pkgs
                          /home/h05/itpp/.conda/pkgs
       envs directories : /tmp/persistent/newconda-envs
                          /tmp/persistent/avd/ng-vat/conda/envs
                          /home/h05/itpp/.conda/envs
                          /opt/scitools/conda/environments
                          /home/h05/itpp/miniconda3/envs
               platform : linux-64
             user-agent : conda/4.14.0 requests/2.27.1 CPython/3.9.7 Linux/3.10.0-1160.95.1.el7.x86_64 rhel/7.9 glibc/2.17
                UID:GID : 6093:1091
             netrc file : /home/h05/itpp/.netrc
           offline mode : False
bollwyvl commented 1 year ago

This should be resolved shortly, see the above linked PR.

The 'clize' recipe is poorly maintained and requires attrs >=19.1.0,<20.

If clize is important to you, I recommend making an issue to add yourself as a maintainer:

... where the title would be @conda-forge-admin, please add user @pp-mo.

If that feedstock's team does not respond within a week, then you can escalate by:

bollwyvl commented 1 year ago

This should be resolved, now: please re-open if you have any lingering issues with the conda-forge package.

pp-mo commented 1 year ago

:+1: Thanks for responding on this !

This should be resolved shortly, see the above linked PR.

The 'clize' recipe is poorly maintained and requires attrs >=19.1.0,<20. If clize is important to you, I recommend making an issue to add yourself as a maintainer:

Unfortunately, "clize" is not directly used by us, so I don't think becoming a maintainer is practical in this case. It was just a dependency asked for by another team, who use shared Python environments, which we build.
FWIW, after some discussion, we have managed to stop including it .