./math/R-covr, Test Coverage for Packages

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Branch: CURRENT, Version: 3.5.0, Package name: R-covr-3.5.0, Maintainer: pkgsrc-users

Track and report code coverage for your package and (optionally) upload
the results to a coverage service like 'Codecov' <http://codecov.io> or
'Coveralls' <http://coveralls.io>.

Code coverage is a measure of the amount of code being exercised by a set
of tests. It is an indirect measure of test quality and completeness.
This package is compatible with any testing methodology or framework and
tracks coverage of both R code and compiled C/C++/FORTRAN code.


Required to run:
[math/R] [security/R-digest] [textproc/R-yaml] [devel/R-crayon] [textproc/R-jsonlite] [devel/R-withr] [www/R-httr] [devel/R-rex]

Required to build:
[pkgtools/cwrappers]

Master sites: (Expand)


Version history: (Expand)


CVS history: (Expand)


   2020-08-01 15:40:43 by Makoto Fujiwara | Files touched by this commit (2) | Package updated
Log message:
(devel/R-covr) Updated to 3.5.0. make test still fails at testthat.R

# covr 3.5.0
* `codecov()` now supports GitHub Actions for public repositories without
  having to specify a token.

* New `to_sonarqube()` function added to support SonarQube generic
  XML format (@nibant, @Delfic, #413).
   2020-01-13 11:17:24 by Makoto Fujiwara | Files touched by this commit (2) | Package updated
Log message:
(devel/R-covr) Updated from 3.3.1 to 3.4.0

(pkgsrc changes)
  Serveral packages added for TEST_DEPENDS+=. Not really confirmed yet. sorry.
(upstream changes)
# covr 3.4.0
  * `codecov()` now supports GitHub Actions.
  * New `in_covr()` function added to return true if code is being run by covr \ 
(#407).
  * `file_coverage()`, `environment_coverage()` and `function_coverage()` now set
    `R_COVR=true`, to be consistent with `package_coverage()` (#407)

# covr 3.3.2
  * Fix test failures in the development version of R (4.0.0) (#400)
   2019-10-13 13:50:49 by Roland Illig | Files touched by this commit (3)
Log message:
devel/R-covr: import version 3.3.1

Track and report code coverage for your package and (optionally) upload
the results to a coverage service like 'Codecov' <http://codecov.io> or
'Coveralls' <http://coveralls.io>.

Code coverage is a measure of the amount of code being exercised by a set
of tests. It is an indirect measure of test quality and completeness.
This package is compatible with any testing methodology or framework and
tracks coverage of both R code and compiled C/C++/FORTRAN code.