conda-forge / jupyterlab_execute_time-feedstock

A conda-smithy repository for jupyterlab_execute_time.

About jupyterlab_execute_time-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/deshaw/jupyterlab-execute-time

Package license: BSD-3-Clause

Summary: Execute Time Plugin for Jupyter Lab

Display cell timings in Jupyter Lab

Current build status

All platforms:

Current release info

Name	Downloads	Version	Platforms

Installing jupyterlab_execute_time

Installing jupyterlab_execute_time from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, jupyterlab_execute_time can be installed with conda:

conda install jupyterlab_execute_time

or with mamba:

mamba install jupyterlab_execute_time

It is possible to list all of the versions of jupyterlab_execute_time available on your platform with conda:

conda search jupyterlab_execute_time --channel conda-forge

or with mamba:

mamba search jupyterlab_execute_time --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search jupyterlab_execute_time --channel conda-forge

# List packages depending on `jupyterlab_execute_time`:
mamba repoquery whoneeds jupyterlab_execute_time --channel conda-forge

# List dependencies of `jupyterlab_execute_time`:
mamba repoquery depends jupyterlab_execute_time --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating jupyterlab_execute_time-feedstock

If you would like to improve the jupyterlab_execute_time recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/jupyterlab_execute_time-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @krassowski
• @mlucool
• @moble

jupyterlab_execute_time-feedstock's Issues

Incorrect dependency for v3.0.0

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

On conda-forge, v3.0.0 of jupyterlab_execute_time has jupyterlab >=3,<5 as a dependency. However, according to the pyproject.toml file in the github repo for this package, it requires jupyterlab ~=4.0.0.

Installed packages

N/A

Environment info

N/A

@conda-forge-admin, please update version

Additional comment:

Following v3.1.0 release.

@conda-forge-admin, please add user @krassowski

Additional comment:

No response

@conda-forge-admin,please add bot automerge

jupyterlab=3.* deprecated and misinterpreted as =3, while 3.0.5 is out

• I read the conda-forge documentation and could not find the solution for my problem there.

Issue:

jupyterlab requirement spec second clause seems to be deprecated and misinterpreted as version=3.
The solution according to https://docs.conda.io/projects/conda/en/latest/user-guide/concepts/pkg-specs.html#package-match-specifications seems to be using <4 instead of =3.*.

With this clean environment:

$ cat $PREFIX/../environment.yml

name: base
channels:
  - conda-forge
  - defaults
dependencies:
  - conda
  - python=3.8
  - pip
  - virtualenv
  - jupyterlab
  - jupyterlab_execute_time

prefix: $PREFIX

Although jupyterlab 3.0.5 is already out, 3.0.0 gets installed:

$ conda env create --prefix ./env
Collecting package metadata (repodata.json): \ WARNING conda.models.version:get_matcher(537): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 3.*, but conda is ignoring the .* and treating it as 3
done
Solving environment: done
Downloading and Extracting Packages
jupyterlab_execute_t | 40 KB     | ######################################################################################## | 100%
entrypoints-0.3      | 8 KB      | ######################################################################################## | 100%
pickleshare-0.7.5    | 9 KB      | ######################################################################################## | 100%
libsodium-1.0.18     | 366 KB    | ######################################################################################## | 100%
jupyterlab-3.0.0     | 5.6 MB    | ######################################################################################## | 100%
pexpect-4.8.0        | 47 KB     | ######################################################################################## | 100%
importlib_metadata-3 | 3 KB      | ######################################################################################## | 100%
jsonschema-3.2.0     | 45 KB     | ######################################################################################## | 100%
chardet-4.0.0        | 199 KB    | ######################################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate $PREFIX
#
# To deactivate an active environment, use
#
#     $ conda deactivate

Environment (conda list):

$ conda list
WARNING conda.models.version:get_matcher(537): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 3.*, but conda is ignoring the .* and treating it as 3
# packages in environment at /home/ma/jlabt/env:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       1_gnu    conda-forge
anyio                     2.0.2            py38h578d9bd_4    conda-forge
appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
argon2-cffi               20.1.0           py38h497a2fe_2    conda-forge
async_generator           1.10                       py_0    conda-forge
attrs                     20.3.0             pyhd3deb0d_0    conda-forge
babel                     2.9.0              pyhd3deb0d_0    conda-forge
backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
backports                 1.0                        py_2    conda-forge
backports.functools_lru_cache 1.6.1                      py_0    conda-forge
bleach                    3.2.2              pyh44b312d_0    conda-forge
brotlipy                  0.7.0           py38h497a2fe_1001    conda-forge
ca-certificates           2020.12.5            ha878542_0    conda-forge
certifi                   2020.12.5        py38h578d9bd_1    conda-forge
cffi                      1.14.4           py38ha65f79e_1    conda-forge
chardet                   4.0.0            py38h578d9bd_1    conda-forge
conda                     4.9.2            py38h578d9bd_0    conda-forge
conda-package-handling    1.7.2            py38h8df0ef7_0    conda-forge
cryptography              3.3.1            py38h2b97feb_1    conda-forge
decorator                 4.4.2                      py_0    conda-forge
defusedxml                0.6.0                      py_0    conda-forge
distlib                   0.3.1              pyh9f0ad1d_0    conda-forge
entrypoints               0.3             pyhd8ed1ab_1003    conda-forge
filelock                  3.0.12             pyh9f0ad1d_0    conda-forge
idna                      2.10               pyh9f0ad1d_0    conda-forge
importlib-metadata        3.4.0            py38h578d9bd_0    conda-forge
importlib_metadata        3.4.0                hd8ed1ab_0    conda-forge
ipykernel                 5.4.2            py38h81c977d_0    conda-forge
ipython                   7.18.1           py38h1cdfbd6_1    conda-forge
ipython_genutils          0.2.0                      py_1    conda-forge
jedi                      0.18.0           py38h578d9bd_2    conda-forge
jinja2                    2.11.2             pyh9f0ad1d_0    conda-forge
json5                     0.9.5              pyh9f0ad1d_0    conda-forge
jsonschema                3.2.0                      py_2    conda-forge
jupyter_client            6.1.11             pyhd8ed1ab_1    conda-forge
jupyter_core              4.7.0            py38h578d9bd_1    conda-forge
jupyter_server            1.2.2            py38h578d9bd_1    conda-forge
jupyterlab                3.0.0              pyhd8ed1ab_0    conda-forge
jupyterlab_execute_time   2.0.1              pyhd8ed1ab_0    conda-forge
jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
jupyterlab_server         2.1.2              pyhd8ed1ab_0    conda-forge
ld_impl_linux-64          2.35.1               hea4e1c9_1    conda-forge
libffi                    3.3                  h58526e2_2    conda-forge
libgcc-ng                 9.3.0               h2828fa1_18    conda-forge
libgomp                   9.3.0               h2828fa1_18    conda-forge
libsodium                 1.0.18               h36c2ea0_1    conda-forge
libstdcxx-ng              9.3.0               h6de172a_18    conda-forge
markupsafe                1.1.1            py38h497a2fe_3    conda-forge
mistune                   0.8.4           py38h497a2fe_1003    conda-forge
nbclassic                 0.2.6              pyhd8ed1ab_0    conda-forge
nbclient                  0.5.1                      py_0    conda-forge
nbconvert                 6.0.7            py38h578d9bd_3    conda-forge
nbformat                  5.1.2              pyhd8ed1ab_1    conda-forge
ncurses                   6.2                  h58526e2_4    conda-forge
nest-asyncio              1.4.3              pyhd8ed1ab_0    conda-forge
notebook                  6.2.0            py38h578d9bd_0    conda-forge
openssl                   1.1.1i               h7f98852_0    conda-forge
packaging                 20.8               pyhd3deb0d_0    conda-forge
pandoc                    2.11.3.2             h7f98852_0    conda-forge
pandocfilters             1.4.2                      py_1    conda-forge
parso                     0.8.1              pyhd8ed1ab_0    conda-forge
pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
pickleshare               0.7.5                   py_1003    conda-forge
pip                       21.0               pyhd8ed1ab_0    conda-forge
prometheus_client         0.9.0              pyhd3deb0d_0    conda-forge
prompt-toolkit            3.0.13             pyha770c72_0    conda-forge
ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
pycosat                   0.6.3           py38h497a2fe_1006    conda-forge
pycparser                 2.20               pyh9f0ad1d_2    conda-forge
pygments                  2.7.4              pyhd8ed1ab_0    conda-forge
pyopenssl                 20.0.1             pyhd8ed1ab_0    conda-forge
pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
pyrsistent                0.17.3           py38h497a2fe_2    conda-forge
pysocks                   1.7.1            py38h578d9bd_3    conda-forge
python                    3.8.6           hffdb5ce_4_cpython    conda-forge
python-dateutil           2.8.1                      py_0    conda-forge
python_abi                3.8                      1_cp38    conda-forge
pytz                      2020.5             pyhd8ed1ab_0    conda-forge
pyzmq                     21.0.1           py38h3d7ac18_0    conda-forge
readline                  8.0                  he28a2e2_2    conda-forge
requests                  2.25.1             pyhd3deb0d_0    conda-forge
ruamel_yaml               0.15.80         py38h497a2fe_1003    conda-forge
send2trash                1.5.0                      py_0    conda-forge
setuptools                49.6.0           py38h578d9bd_3    conda-forge
six                       1.15.0             pyh9f0ad1d_0    conda-forge
sniffio                   1.2.0            py38h578d9bd_1    conda-forge
sqlite                    3.34.0               h74cdb3f_0    conda-forge
terminado                 0.9.2            py38h578d9bd_0    conda-forge
testpath                  0.4.4                      py_0    conda-forge
tk                        8.6.10               h21135ba_1    conda-forge
tornado                   6.1              py38h497a2fe_1    conda-forge
tqdm                      4.56.0             pyhd8ed1ab_0    conda-forge
traitlets                 5.0.5                      py_0    conda-forge
urllib3                   1.26.2             pyhd8ed1ab_0    conda-forge
virtualenv                20.4.0           py38h578d9bd_0    conda-forge
wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
webencodings              0.5.1                      py_1    conda-forge
wheel                     0.36.2             pyhd3deb0d_0    conda-forge
xz                        5.2.5                h516909a_1    conda-forge
yaml                      0.2.5                h516909a_0    conda-forge
zeromq                    4.3.3                h58526e2_3    conda-forge
zipp                      3.4.0                      py_0    conda-forge
zlib                      1.2.11            h516909a_1010    conda-forge

Details about conda and system ( conda info ):

$ conda info
 active environment : $HOME/jlabt/env
    active env location :  $HOME/jlabt/env
            shell level : 2
       user config file : $HOME/.condarc
 populated config files :  $HOME/.condarc
          conda version : 4.9.2
    conda-build version : 3.21.4
         python version : 3.8.6.final.0
       virtual packages : __glibc=2.27=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment :  $HOME/miniconda3  (writable)
           channel URLs : https://conda.ovito.org/linux-64
                          https://conda.ovito.org/noarch
                          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 : /home/ma/miniconda3/pkgs
                           $HOME/.conda/pkgs
       envs directories : $HOME/miniconda3/envs
                           $HOME/.conda/envs
               platform : linux-64
             user-agent : conda/4.9.2 requests/2.25.1 CPython/3.8.6 Linux/4.19.104-microsoft-standard ubuntu/18.04.1 glibc/2.27
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False

@conda-forge-admin, please add bot automerge