conda-forge / r-quanteda-feedstock

A conda-smithy repository for r-quanteda.

About r-quanteda-feedstock

Feedstock license: BSD-3-Clause

About r-quanteda

Home: https://quanteda.io

Package license: GPL-3.0-only

Summary: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more. About r-quanteda

Home: https://quanteda.io

Package license: GPL-3.0-only

Summary: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.

Current build status

Azure

Variant Status linux_64_r_base4.2 linux_64_r_base4.3 osx_64_r_base4.2 osx_64_r_base4.3 win_64

Current release info

Name	Downloads	Version	Platforms

Installing r-quanteda

Installing r-quanteda 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, r-quanteda can be installed with conda:

conda install r-quanteda

or with mamba:

mamba install r-quanteda

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

conda search r-quanteda --channel conda-forge

or with mamba:

mamba search r-quanteda --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

# List dependencies of `r-quanteda`:
mamba repoquery depends r-quanteda --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-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 r-quanteda-feedstock

If you would like to improve the r-quanteda 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/r-quanteda-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

• @conda-forge/r
• @stevierene82

r-quanteda-feedstock's Issues

windows build possible?

I've been trying to build this for windows (happy to push a broken wip PR), but am running into many version compatibility issues for all of the dependencies. I saw the original PR said it was skipping windows due to r-rcppparallel and r-extrafont not being on windows, but they both seem to have windows builds now. I'm looking for any direction on why all of these issues arise, even before the build, and how/what I can do to possibly build this for windows? Thanks!

Here's some of the error output that comes out currently:

Building graph of deps:   0%|          | 0/21 [00:00<?, ?it/s]
Examining libblas:   0%|          | 0/21 [00:00<?, ?it/s]     
Examining r-spacyr:   5%|4         | 1/21 [00:00<00:00, 63.99it/s]
Examining r-magrittr:  10%|9         | 2/21 [00:00<00:01, 12.80it/s]
Examining r-magrittr:  14%|#4        | 3/21 [00:00<00:00, 19.20it/s]
Examining r-ggrepel:  14%|#4        | 3/21 [00:00<00:00, 19.20it/s] 
Examining liblapack:  19%|#9        | 4/21 [00:00<00:00, 19.20it/s]
Examining liblapack:  24%|##3       | 5/21 [00:00<00:01,  9.80it/s]
Examining r-sna:  24%|##3       | 5/21 [00:00<00:01,  9.80it/s]    
Examining r-stringi:  29%|##8       | 6/21 [00:00<00:01,  9.80it/s]
Examining m2w64-gcc-libs:  33%|###3      | 7/21 [00:00<00:01,  9.80it/s]
Examining m2w64-gcc-libs:  38%|###8      | 8/21 [00:00<00:01,  9.44it/s]
Examining r-yaml:  38%|###8      | 8/21 [00:00<00:01,  9.44it/s]        
Examining r-network:  43%|####2     | 9/21 [00:01<00:01,  9.44it/s]
Examining r-network:  48%|####7     | 10/21 [00:01<00:01, 10.50it/s]
Examining r-xml2:  48%|####7     | 10/21 [00:01<00:01, 10.50it/s]   
Examining r-xml2:  52%|#####2    | 11/21 [00:01<00:01,  9.60it/s]
Examining r-snowballc:  52%|#####2    | 11/21 [00:01<00:01,  9.60it/s]
Examining r-snowballc:  57%|#####7    | 12/21 [00:01<00:01,  6.55it/s]
Examining r-ggplot2[version='>=2.2.0']:  57%|#####7    | 12/21 [00:01<00:01,  6.55it/s]
Examining r-extrafont:  62%|######1   | 13/21 [00:02<00:01,  6.55it/s]                 
Examining r-extrafont:  67%|######6   | 14/21 [00:02<00:01,  3.69it/s]
Examining r-fastmatch:  67%|######6   | 14/21 [00:02<00:01,  3.69it/s]
Examining r-rcpparmadillo[version='>=0.7.600.1.0']:  71%|#######1  | 15/21 [00:02<00:01,  3.69it/s]
Examining r-proxyc[version='>=0.1.4']:  76%|#######6  | 16/21 [00:03<00:01,  3.69it/s]             
Examining r-proxyc[version='>=0.1.4']:  81%|########  | 17/21 [00:03<00:00,  4.25it/s]
Examining r-stopwords:  81%|########  | 17/21 [00:03<00:00,  4.25it/s]                
Examining r-rcppparallel:  86%|########5 | 18/21 [00:03<00:00,  4.25it/s]
Examining r-rcppparallel:  90%|######### | 19/21 [00:03<00:00,  5.13it/s]
Examining r-matrix[version='>=1.2']:  90%|######### | 19/21 [00:03<00:00,  5.13it/s]
Examining r-matrix[version='>=1.2']:  95%|#########5| 20/21 [00:03<00:00,  5.59it/s]
Examining r-base=3.5.1:  95%|#########5| 20/21 [00:03<00:00,  5.59it/s]             
Examining r-base=3.5.1: 100%|##########| 21/21 [00:03<00:00,  4.88it/s]

V3.0 de-coupling

As described at https://github.com/quanteda/quanteda/blob/master/NEWS.md#quanteda-30 quanteda 3.0 has spun off some functionality into separate packages. I've submitted those in conda-forge/staged-recipes#14577 please let me know if you would like to be included as a maintainer of these quanteda packages as well.