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laspy-feedstock's Introduction

About laspy-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/laspy/laspy

Package license: BSD-2-Clause

Summary: Native Python ASPRS LAS read/write library

Development: https://github.com/laspy/laspy

Documentation: https://laspy.readthedocs.io/en/latest/

Laspy is a python library for reading, modifying and creating LAS LiDAR files.

Current build status

Azure
VariantStatus
linux_64_numpy1.22python3.10.____cpythonpython_implcpython variant
linux_64_numpy1.22python3.9.____cpythonpython_implcpython variant
linux_64_numpy1.23python3.11.____cpythonpython_implcpython variant
linux_64_numpy1.26python3.12.____cpythonpython_implcpython variant
linux_aarch64_numpy1.22python3.10.____cpythonpython_implcpython variant
linux_aarch64_numpy1.22python3.9.____cpythonpython_implcpython variant
linux_aarch64_numpy1.23python3.11.____cpythonpython_implcpython variant
linux_aarch64_numpy1.26python3.12.____cpythonpython_implcpython variant
linux_ppc64le_numpy1.22python3.10.____cpythonpython_implcpython variant
linux_ppc64le_numpy1.22python3.9.____cpythonpython_implcpython variant
linux_ppc64le_numpy1.23python3.11.____cpythonpython_implcpython variant
linux_ppc64le_numpy1.26python3.12.____cpythonpython_implcpython variant
osx_64_numpy1.22python3.10.____cpythonpython_implcpython variant
osx_64_numpy1.22python3.9.____cpythonpython_implcpython variant
osx_64_numpy1.23python3.11.____cpythonpython_implcpython variant
osx_64_numpy1.26python3.12.____cpythonpython_implcpython variant
osx_arm64_numpy1.22python3.10.____cpython variant
osx_arm64_numpy1.22python3.9.____cpython variant
osx_arm64_numpy1.23python3.11.____cpython variant
osx_arm64_numpy1.26python3.12.____cpython variant
win_64_numpy1.22python3.10.____cpythonpython_implcpython variant
win_64_numpy1.22python3.9.____cpythonpython_implcpython variant
win_64_numpy1.23python3.11.____cpythonpython_implcpython variant
win_64_numpy1.26python3.12.____cpythonpython_implcpython variant

Current release info

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

Installing laspy

Installing laspy 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, laspy can be installed with conda:

conda install laspy

or with mamba:

mamba install laspy

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

conda search laspy --channel conda-forge

or with mamba:

mamba search laspy --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

If you would like to improve the laspy 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/laspy-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

laspy-feedstock's People

Contributors

beckermr avatar conda-forge-admin avatar conda-forge-curator[bot] avatar hobu avatar plimkilde avatar regro-cf-autotick-bot avatar xhochy avatar

Stargazers

 avatar  avatar

Watchers

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laspy-feedstock's Issues

Handle LAZ files

Issue:
Tests covering LAZ file reading fail in CI. See #2

The 1.7.0 laspy release introduces the LazReaderTestCase among its tests, so that reading of LAZ files is now under test by default.

This breaks the feedstock CI since LASzip or laz-perf are not installed by default. To fix this, we'll have to either disable the LAZ reading test or introduce a dependency on laszip or laz-perf.


Environment (conda list) - NOTE: taken from the package plan in the pipeline log:
2020-03-13T23:37:41.5278483Z The following NEW packages will be INSTALLED:
2020-03-13T23:37:41.5279180Z 
2020-03-13T23:37:41.5280557Z     _libgcc_mutex:    0.1-conda_forge           conda-forge
2020-03-13T23:37:41.5281731Z     _openmp_mutex:    4.5-1_llvm                conda-forge
2020-03-13T23:37:41.5282813Z     ca-certificates:  2019.11.28-hecc5488_0     conda-forge
2020-03-13T23:37:41.5293083Z     certifi:          2019.11.28-py38h32f6830_1 conda-forge
2020-03-13T23:37:41.5307938Z     ld_impl_linux-64: 2.33.1-h53a641e_8         conda-forge
2020-03-13T23:37:41.5309161Z     libblas:          3.8.0-15_openblas         conda-forge
2020-03-13T23:37:41.5310014Z     libcblas:         3.8.0-15_openblas         conda-forge
2020-03-13T23:37:41.5310878Z     libffi:           3.2.1-he1b5a44_1006       conda-forge
2020-03-13T23:37:41.5311690Z     libgcc-ng:        9.2.0-h24d8f2e_2          conda-forge
2020-03-13T23:37:41.5312580Z     libgfortran-ng:   7.3.0-hdf63c60_5          conda-forge
2020-03-13T23:37:41.5313387Z     liblapack:        3.8.0-15_openblas         conda-forge
2020-03-13T23:37:41.5314195Z     libopenblas:      0.3.8-h5ec1e0e_0          conda-forge
2020-03-13T23:37:41.5315063Z     libstdcxx-ng:     9.2.0-hdf63c60_2          conda-forge
2020-03-13T23:37:41.5315865Z     llvm-openmp:      9.0.1-hc9558a2_2          conda-forge
2020-03-13T23:37:41.5316826Z     ncurses:          6.1-hf484d3e_1002         conda-forge
2020-03-13T23:37:41.5317643Z     numpy:            1.14.6-py38h95a1406_1201  conda-forge
2020-03-13T23:37:41.5318505Z     openssl:          1.1.1d-h516909a_0         conda-forge
2020-03-13T23:37:41.5319298Z     pip:              20.0.2-py_2               conda-forge
2020-03-13T23:37:41.5320157Z     python:           3.8.2-h9d8adfe_4_cpython  conda-forge
2020-03-13T23:37:41.5320956Z     python_abi:       3.8-1_cp38                conda-forge
2020-03-13T23:37:41.5321754Z     readline:         8.0-hf8c457e_0            conda-forge
2020-03-13T23:37:41.5322660Z     setuptools:       46.0.0-py38h32f6830_2     conda-forge
2020-03-13T23:37:41.5323657Z     sqlite:           3.30.1-hcee41ef_0         conda-forge
2020-03-13T23:37:41.5324555Z     tk:               8.6.10-hed695b0_0         conda-forge
2020-03-13T23:37:41.5325353Z     wheel:            0.34.2-py_1               conda-forge
2020-03-13T23:37:41.5326215Z     xz:               5.2.4-h14c3975_1001       conda-forge
2020-03-13T23:37:41.5327007Z     zlib:             1.2.11-h516909a_1006      conda-forge

Details about conda and system ( conda info ) - from pipeline log:
2020-03-13T23:36:17.8283864Z ++ conda info
2020-03-13T23:36:18.0967678Z 
2020-03-13T23:36:18.0968576Z      active environment : base
2020-03-13T23:36:18.0968959Z     active env location : /opt/conda
2020-03-13T23:36:18.0969293Z             shell level : 1
2020-03-13T23:36:18.0969677Z        user config file : /home/conda/.condarc
2020-03-13T23:36:18.0970046Z  populated config files : /home/conda/.condarc
2020-03-13T23:36:18.0970573Z           conda version : 4.8.2
2020-03-13T23:36:18.0971491Z     conda-build version : 3.19.0
2020-03-13T23:36:18.0971843Z          python version : 3.7.6.final.0
2020-03-13T23:36:18.0972301Z        virtual packages : __glibc=2.12
2020-03-13T23:36:18.0972654Z        base environment : /opt/conda  (writable)
2020-03-13T23:36:18.0973358Z            channel URLs : https://conda.anaconda.org/conda-forge/linux-64
2020-03-13T23:36:18.0974038Z                           https://conda.anaconda.org/conda-forge/noarch
2020-03-13T23:36:18.0974742Z                           https://repo.anaconda.com/pkgs/main/linux-64
2020-03-13T23:36:18.0975294Z                           https://repo.anaconda.com/pkgs/main/noarch
2020-03-13T23:36:18.0975978Z                           https://repo.anaconda.com/pkgs/r/linux-64
2020-03-13T23:36:18.0976431Z                           https://repo.anaconda.com/pkgs/r/noarch
2020-03-13T23:36:18.0976857Z           package cache : /opt/conda/pkgs
2020-03-13T23:36:18.0977217Z                           /home/conda/.conda/pkgs
2020-03-13T23:36:18.0977564Z        envs directories : /opt/conda/envs
2020-03-13T23:36:18.0977953Z                           /home/conda/.conda/envs
2020-03-13T23:36:18.0978724Z                platform : linux-64
2020-03-13T23:36:18.0979475Z              user-agent : conda/4.8.2 requests/2.23.0 CPython/3.7.6 Linux/4.15.0-1071-azure centos/6.10 glibc/2.12
2020-03-13T23:36:18.0979915Z                 UID:GID : 1001:1001
2020-03-13T23:36:18.0980232Z              netrc file : None
2020-03-13T23:36:18.0980498Z            offline mode : False
2020-03-13T23:36:18.0980687Z 

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