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ocp-feedstock's Introduction

About ocp-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/CadQuery/OCP/

Package license: Apache-2.0

Summary: Python wrapper for OCCT using auto-generated pybind11 bindings.

Development: https://github.com/CadQuery/OCP/

Documentation: https://github.com/CadQuery/OCP/blob/master/README.md

Current build status

Azure
VariantStatus
linux_64_python3.10.____cpython variant
linux_64_python3.11.____cpython variant
linux_64_python3.12.____cpython variant
linux_64_python3.8.____cpython variant
linux_64_python3.9.____cpython variant
linux_aarch64_python3.10.____cpython variant
linux_aarch64_python3.11.____cpython variant
linux_aarch64_python3.12.____cpython variant
linux_aarch64_python3.8.____cpython variant
linux_aarch64_python3.9.____cpython variant
osx_64_python3.10.____cpython variant
osx_64_python3.11.____cpython variant
osx_64_python3.12.____cpython variant
osx_64_python3.8.____cpython variant
osx_64_python3.9.____cpython variant
osx_arm64_python3.10.____cpython variant
osx_arm64_python3.11.____cpython variant
osx_arm64_python3.12.____cpython variant
osx_arm64_python3.8.____cpython variant
osx_arm64_python3.9.____cpython variant
win_64_python3.10.____cpython variant
win_64_python3.11.____cpython variant
win_64_python3.12.____cpython variant
win_64_python3.8.____cpython variant
win_64_python3.9.____cpython variant

Current release info

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

Installing ocp

Installing ocp 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, ocp can be installed with conda:

conda install ocp

or with mamba:

mamba install ocp

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

conda search ocp --channel conda-forge

or with mamba:

mamba search ocp --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

# List dependencies of `ocp`:
mamba repoquery depends ocp --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 ocp-feedstock

If you would like to improve the ocp 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/ocp-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

ocp-feedstock's People

Contributors

adam-urbanczyk avatar conda-forge-admin avatar conda-forge-curator[bot] avatar regro-cf-autotick-bot avatar vespakoen avatar whophil avatar

Stargazers

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Watchers

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ocp-feedstock's Issues

C++ compiler under Windows

Comment:

What is the compiler and version used under Windows to build the OCP dynamic library?
I would need it to compile another library for use with OCP objects and ensure ABI compatibility.
I'd expect we need the same compiler as is the case with Linux (where ocp 7.7.2 is built with gxx_linux-64 version 12.*)

Target linux/arm64

Missing architecture. Would be super useful in arm Docker containers and probably for arm boards like the Raspberry Pi.

Windows build intermittently runs out of memory

Solution to issue cannot be found in the documentation.

  • I checked the documentation.

Issue

Windows build on conda-forge CI intermittently runs out of memory. If this happens, I usually just re-run the failing build again and again until it passes and uploads the build artifact.

A better solution is needed.

Installed packages

n/a

Environment info

n/a

Broken after migration of occt 7.5.3 to vtk 9.1.0

Solution to issue cannot be found in the documentation.

  • I checked the documentation.

Issue

This package is broken after the merge of conda-forge/occt-feedstock#82 by @looooo, which migrates OCCT 7.5.3 to VTK 9.1.0.

The latest version of this package was built with VTK 9.0.1, however it seems to be permitted to run with VTK 9.1.0. This fails at import OCP due to a misnamed VTK library. I'm not sure what the "proper" way to fix this is - @looooo do you have any suggestions?

Installed packages

n/a

Environment info

n/a

Linux build platform for manylinux compat

Comment:

We have been converting OCP conda packages into manylinux wheels in https://github.com/CadQuery/ocp-build-system. The results are on PyPI and have been useful to the cadquery community.

We are running into a compatibility issue with the 7.6.3.0 packages triggered in #12 (hamfisted debugging in CadQuery/ocp-build-system#7 (comment)). They are built on ubuntu-22.04, and we believe this is forcing the manylinux wheels to be versioned as "manylinux_2_34", roughly meaning that they require distros providing glibc 2.34 or later. This is fairly restrictive (e.g. fedora 35, ubuntu 21.10, debian testing).

By contrast, the "alpha" OCP packages on the cadquery conda channel (pipeline) are built on ubuntu-18.04. This allows manylinux wheels to be versioned as "manylinux_2_31", which is less restrictive (e.g. debian 11, fedora 32, ubuntu-20.04).

Is it possible to rebuild 7.6.3.0 on ubuntu 20.04 (and the compiler toolchain associated with that release) or earlier?

@jmwright

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