TAP-Compliant Unit Testing.
unittest: Concise, TAP-compliant, R package for writing unit tests
Given a simple function you'd like to test in the file myfunction.R
:
biggest <- function(x,y) { max(c(x,y)) }
A test script for this function test_myfunction.R
would be:
library(unittest)
source('myfunction.R') # Or library(mypackage) if part of a package
ok(biggest(3,4) == 4, "two numbers")
ok(biggest(c(5,3),c(3,4)) == 5, "two vectors")
You can then run this test in several ways:
source('test_myfunction.R')
from RRscript --vanilla test_myfunction.R
from the command promptR CMD check
, iftest_myfunction.R
is inside thetests
directory ofmypackage
being tested.unittest
doesn't require any further setup in your package.
If writing tests as part of a package, see the "Adding Tests to Packages" vignette for more information.
The workhorse of the unittest
package is the ok
function which prints "ok" when the expression provided evaluates to TRUE
and "not ok" if the expression evaluates to anything else or results in an error. There are several ut_cmp_*
helpers designed to work with ok
:
ok(ut_cmp_equal( biggest(1/3, 2/6), 2/6), "two floating point numbers")
: Uses all.equal to compare within a tolerance.ok(ut_cmp_identical( biggest("c", "d") ), "two strings")
: Uses identical to make sure outputs are identical.ok(ut_cmp_error(biggest(3), '"y".*missing'), "single argument is an error")
: Make sure the code produces an error matching the regular expression.
In all cases you get detailed, colourised output on what the difference is, for example:
The package was inspired by Perl's Test::Simple.
If you want more features there are other unit testing packages out there; see testthat, RUnit, svUnit.
Installing from CRAN
In an R session type
install.packages('unittest')
Or add Suggests: unittest
to your package's DESCRIPTION
file.
Installing the latest development version directly from GitHub
To install the latest development version, use remotes:
# install.packages("remotes")
remotes::install_github("ravingmantis/unittest")