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omero-py-feedstock's Introduction

About omero-py-feedstock

Feedstock license: BSD-3-Clause

Home: https://www.openmicroscopy.org/

Package license: GPL-2.0-or-later

Summary: Python bindings to the OMERO.blitz server

Development: https://github.com/ome/omero-py

Documentation: https://docs.openmicroscopy.org/latest/omero/developers

Current build status

All platforms:

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing omero-py

Installing omero-py 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, omero-py can be installed with conda:

conda install omero-py

or with mamba:

mamba install omero-py

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

conda search omero-py --channel conda-forge

or with mamba:

mamba search omero-py --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

About conda-forge

Powered by NumFOCUS

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 omero-py-feedstock

If you would like to improve the omero-py 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/omero-py-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

omero-py-feedstock's People

Contributors

bgruening avatar conda-forge-admin avatar conda-forge-curator[bot] avatar goanpeca avatar jburel avatar joshmoore avatar regro-cf-autotick-bot avatar sbesson avatar

Watchers

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omero-py-feedstock's Issues

pywin32 dependency

Solution to issue cannot be found in the documentation.

  • I checked the documentation.

Issue

Trying to test the installation of omero-py using this new feedstock and conda-forge/zeroc-ice-feedstock#21 on a M1

(base) sbesson@Sebastiens-MacBook-Pro ~ % cat environment.yml 
---
name: omero_py
channels:
  - conda-forge
  - defaults
dependencies:
  - omero-py
(base) sbesson@Sebastiens-MacBook-Pro ~ % conda env create -f environment.yml
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                                                                                                                                                                                       
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 your system:

  - feature:/osx-arm64::__unix==0=0
  - omero-py -> pywin32-on-windows -> __unix

Your installed version is: 0

This had already been flagged in ome/conda-omero-py#13 and and fixed in the package shipped in the ome conda channel by removing the noarch - see ome/conda-omero-py#1

Installed packages

(base) sbesson@Sebastiens-MacBook-Pro ~ % conda list
# packages in environment at /Users/sbesson/miniconda3:
#
# Name                    Version                   Build  Channel
brotlipy                  0.7.0           py38h1a28f6b_1002  
ca-certificates           2021.10.26           hca03da5_2  
certifi                   2021.10.8        py38hca03da5_2  
cffi                      1.15.0           py38h22df2f2_1  
charset-normalizer        2.0.4              pyhd3eb1b0_0  
conda                     4.11.0           py38hca03da5_0  
conda-package-handling    1.7.3            py38h1a28f6b_1  
cryptography              36.0.0           py38h834c97f_0  
idna                      3.3                pyhd3eb1b0_0  
libcxx                    12.0.0               hf6beb65_1  
libffi                    3.4.2                hc377ac9_2  
ncurses                   6.3                  h1a28f6b_2  
openssl                   1.1.1m               h1a28f6b_0  
pip                       21.2.4           py38hca03da5_0  
pycosat                   0.6.3            py38h1a28f6b_0  
pycparser                 2.21               pyhd3eb1b0_0  
pyopenssl                 22.0.0             pyhd3eb1b0_0  
pysocks                   1.7.1            py38hca03da5_0  
python                    3.8.11          h35b60ff_4_cpython  
python.app                3                py38h1230e6a_0  
readline                  8.1.2                h1a28f6b_1  
requests                  2.27.1             pyhd3eb1b0_0  
ruamel_yaml               0.15.100         py38h1a28f6b_0  
setuptools                58.0.4           py38hca03da5_1  
six                       1.16.0             pyhd3eb1b0_1  
sqlite                    3.37.2               h1058600_0  
tk                        8.6.11               hb8d0fd4_0  
tqdm                      4.62.3             pyhd3eb1b0_1  
urllib3                   1.26.8             pyhd3eb1b0_0  
wheel                     0.37.1             pyhd3eb1b0_0  
xz                        5.2.5                h1a28f6b_0  
yaml                      0.2.5                h1a28f6b_0  
zlib                      1.2.11               h5a0b063_4

Environment info

(base) sbesson@Sebastiens-MacBook-Pro ~ % conda info

     active environment : base
    active env location : /Users/sbesson/miniconda3
            shell level : 1
       user config file : /Users/sbesson/.condarc
 populated config files : 
          conda version : 4.11.0
    conda-build version : not installed
         python version : 3.8.11.final.0
       virtual packages : __osx=12.3.1=0
                          __unix=0=0
                          __archspec=1=arm64
       base environment : /Users/sbesson/miniconda3  (writable)
      conda av data dir : /Users/sbesson/miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/osx-arm64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/osx-arm64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /Users/sbesson/miniconda3/pkgs
                          /Users/sbesson/.conda/pkgs
       envs directories : /Users/sbesson/miniconda3/envs
                          /Users/sbesson/.conda/envs
               platform : osx-arm64
             user-agent : conda/4.11.0 requests/2.27.1 CPython/3.8.11 Darwin/21.4.0 OSX/12.3.1
                UID:GID : 501:20
             netrc file : None
           offline mode : False

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