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A conda-smithy repository for magic.

License: BSD 3-Clause "New" or "Revised" License

Shell 100.00%

magic-feedstock's Introduction

About magic-feedstock

Feedstock license: BSD-3-Clause

Home: http://opencircuitdesign.com/magic/

Package license: MIT

Summary: Magic VLSI Layout Tool

Development: https://github.com/RTimothyEdwards/magic

Documentation: http://opencircuitdesign.com/magic/magic_docs.html

Magic is a venerable VLSI layout tool, written in the 1980's at Berkeley by John Ousterhout, now famous primarily for writing the scripting interpreter language Tcl. Due largely in part to its liberal Berkeley open-source license, magic has remained popular with universities and small companies. The open-source license has allowed VLSI engineers with a bent toward programming to implement clever ideas and help magic stay abreast of fabrication technology. However, it is the well thought-out core algorithms which lend to magic the greatest part of its popularity. Magic is widely cited as being the easiest tool to use for circuit layout, even for people who ultimately rely on commercial tools for their product design flow.

Current build status

Azure

Variant	Status
linux_64
linux_aarch64
linux_ppc64le

Current release info

Name	Downloads	Version	Platforms

Installing magic

Installing magic 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, magic can be installed with conda:

conda install magic

or with mamba:

mamba install magic

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

conda search magic --channel conda-forge

or with mamba:

mamba search magic --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

If you would like to improve the magic 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/magic-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

magic-feedstock's People

Contributors

Stargazers

Watchers

Forkers

regro-cf-autotick-bot proppy

magic-feedstock's Issues

conda install magic is not working for aarch64

Solution to issue cannot be found in the documentation.

I checked the documentation.

Issue

(base) pi@raspberrypi ~ $ conda install magic
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): -
\
done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:

magic

Current channels:

To search for alternate channels that may provide the conda package you're
looking for, navigate to

https://anaconda.org

and use the search bar at the top of the page.

Linux raspberrypi 5.15.32-v8+ #1538 SMP PREEMPT Thu Mar 31 19:40:39 BST 2022 aarch64 GNU/Linux

Installed packages

(base) pi@raspberrypi ~ $ conda list
# packages in environment at /foss/tools/miniforge3:
#
# Name                    Version                   Build  Channel
_openmp_mutex             4.5                       2_gnu    conda-forge
brotlipy                  0.7.0           py39h0fd3b05_1004    conda-forge
bzip2                     1.0.8                hf897c2e_4    conda-forge
ca-certificates           2022.5.18.1          h4fd8a4c_0    conda-forge
certifi                   2022.5.18.1      py39h4420490_0    conda-forge
cffi                      1.15.0           py39hab139ec_0    conda-forge
charset-normalizer        2.0.12             pyhd8ed1ab_0    conda-forge
colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
conda                     4.12.0           py39h4420490_0    conda-forge
conda-package-handling    1.8.1            py39h0fd3b05_1    conda-forge
cryptography              37.0.2           py39h32042e6_0    conda-forge
idna                      3.3                pyhd8ed1ab_0    conda-forge
ld_impl_linux-aarch64     2.36.1               h02ad14f_2    conda-forge
libffi                    3.4.2                h3557bc0_5    conda-forge
libgcc-ng                 12.1.0              h3242a24_16    conda-forge
libgomp                   12.1.0              h3242a24_16    conda-forge
libnsl                    2.0.0                hf897c2e_0    conda-forge
libuuid                   2.32.1            hf897c2e_1000    conda-forge
libzlib                   1.2.12               h4e544f5_0    conda-forge
ncurses                   6.3                  headf329_1    conda-forge
openssl                   1.1.1o               h4e544f5_0    conda-forge
pip                       22.1.2             pyhd8ed1ab_0    conda-forge
pycosat                   0.6.3           py39h0fd3b05_1010    conda-forge
pycparser                 2.21               pyhd8ed1ab_0    conda-forge
pyopenssl                 22.0.0             pyhd8ed1ab_0    conda-forge
pysocks                   1.7.1            py39ha65689a_5    conda-forge
python                    3.9.13          h2eada40_0_cpython    conda-forge
python_abi                3.9                      2_cp39    conda-forge
readline                  8.1                  h1a49cc3_0    conda-forge
requests                  2.27.1             pyhd8ed1ab_0    conda-forge
ruamel_yaml               0.15.80         py39h0fd3b05_1007    conda-forge
setuptools                62.3.2           py39ha65689a_0    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
sqlite                    3.38.5               hc74f5b8_0    conda-forge
tk                        8.6.12               hd8af866_0    conda-forge
tqdm                      4.64.0             pyhd8ed1ab_0    conda-forge
tzdata                    2022a                h191b570_0    conda-forge
urllib3                   1.26.9             pyhd8ed1ab_0    conda-forge
wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
xz                        5.2.5                h6dd45c4_1    conda-forge
yaml                      0.2.5                hf897c2e_2    conda-forge
zlib                      1.2.12               h4e544f5_0    conda-forge

Environment info

(base) pi@raspberrypi ~ $ conda info

     active environment : base
    active env location : /foss/tools/miniforge3
            shell level : 1
       user config file : /home/pi/.condarc
 populated config files : /foss/tools/miniforge3/.condarc
          conda version : 4.12.0
    conda-build version : not installed
         python version : 3.9.13.final.0
       virtual packages : __linux=5.15.32=0
                          __glibc=2.31=0
                          __unix=0=0
                          __archspec=1=aarch64
       base environment : /foss/tools/miniforge3  (writable)
      conda av data dir : /foss/tools/miniforge3/etc/conda
  conda av metadata url : None
           channel URLs : https://conda.anaconda.org/conda-forge/linux-aarch64
                          https://conda.anaconda.org/conda-forge/noarch
          package cache : /foss/tools/miniforge3/pkgs
                          /home/pi/.conda/pkgs
       envs directories : /foss/tools/miniforge3/envs
                          /home/pi/.conda/envs
               platform : linux-aarch64
             user-agent : conda/4.12.0 requests/2.27.1 CPython/3.9.13 Linux/5.15.32-v8+ debian/11 glibc/2.31
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False

(base) pi@raspberrypi ~ $

[warning] failed package validation and/or copy for commit 21c197fb8b9ad2981fcbadd7f43fb8a2d54b29da

Hi @conda-forge/magic! This is the friendly automated conda-forge-webservice!

It appears that one or more of your feedstock's outputs did not copy from the
staging channel (cf-staging) to the production channel (conda-forge). :(

This failure can happen for a lot of reasons, including an outdated feedstock
token. Below we have put some information about the failure to help you debug it.

Rerendering the feedstock will usually fix these problems.

If you have any issues or questions, you can find us on gitter in the
community chat room or you can bump us right here.

error messages:

invalid feedstock token