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dxchange-feedstock's Introduction

About dxchange

Home: http://dxchange.readthedocs.org

Package license: BSD-3-Clause

Feedstock license: BSD-3-Clause

Summary: Data I/O for tomography

Current build status

All platforms:

Current release info

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

Installing dxchange

Installing dxchange 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, dxchange can be installed with:

conda install dxchange

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

conda search dxchange --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 CircleCI, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud 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 dxchange-feedstock

If you would like to improve the dxchange 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/dxchange-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

dxchange-feedstock's People

Contributors

beckermr avatar bgruening avatar conda-forge-admin avatar conda-forge-curator[bot] avatar decarlof avatar dgursoy avatar jakirkham avatar markrivers avatar ocefpaf avatar regro-cf-autotick-bot avatar xmap avatar

Watchers

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dxchange-feedstock's Issues

read_tiff error

I updated dxchange with conda-forge, and got the following error when read the 3D tiff file:

TypeError Traceback (most recent call last)
in ()
1 ifp_path = '/gpfs/petra3/scratch/yangx/phase_data/data67_processed.tiff'
----> 2 ifp_test = dxchange.read_tiff(ifp_path)
3 print ifp_test.shape

/home/yangx/anaconda2/lib/python2.7/site-packages/dxchange/reader.pyc in read_tiff(fname, slc)
139 fname = _check_read(fname)
140 try:
--> 141 arr = tifffile.imread(fname, out='memmap')
142 except IOError:
143 logger.error('No such file or directory: %s', fname)

/home/yangx/anaconda2/lib/python2.7/site-packages/tifffile/tifffile.pyc in imread(files, **kwargs)
1113 if isinstance(files, basestring):
1114 with TiffFile(files, **kwargs_file) as tif:
-> 1115 return tif.asarray(**kwargs)
1116 else:
1117 with TiffSequence(files, **kwargs_seq) as imseq:

TypeError: asarray() got an unexpected keyword argument 'out'

Automatic builds failing for 3.6

It looks like the automatic builds are failing for python 3.6 because not all dependencies have been updated yet. I have just created pul requests to update the feedstocks for spefile and dxfile. The feedstock for edffile has already been updated, but has to be rebuild (see conda-forge/edffile-feedstock#5). After these dependencies have been correctly built for 3.6, I think we can build the dxchange package for 3.6.

New release request

This is my first time using conda-forge. I am trying to make a new build based on v0.1.7 of dxchange.

The lint checker said I needed to specify a minimum version of Python in the meta.yaml "host" and "run" sections, so I did that. I'm not sure if that was correct.

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