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https://github.com/google/patrick
Parameterized testing in R is kind of cool!
https://github.com/google/patrick
Last synced: 21 days ago
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Parameterized testing in R is kind of cool!
- Host: GitHub
- URL: https://github.com/google/patrick
- Owner: google
- License: apache-2.0
- Created: 2018-08-06T17:22:00.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2024-01-29T18:06:20.000Z (11 months ago)
- Last Synced: 2024-10-28T17:24:00.266Z (about 2 months ago)
- Language: R
- Homepage:
- Size: 86.9 KB
- Stars: 135
- Watchers: 5
- Forks: 13
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Awesome Lists containing this project
- jimsghstars - google/patrick - Parameterized testing in R is kind of cool! (R)
README
[](https://github.com/google/patrick/actions/workflows/R-CMD-check.yaml)
[](https://cran.r-project.org/package=patrick)
# Introducing patrick
This package is an extension to `testthat` that enables parameterized unit
testing in R.
## Installing
The release version of `patrick` is available on CRAN. Install it in the usual
manner:
```
install.packages("patrick")
```
The development version of `patrick` is currently only available on GitHub.
Install it using `devtools`.
```
devtools::install_github("google/patrick")
```
To use `patrick` as a testing tool within your package, add it to your list of
`Suggests` within your package's `DESCRIPTION`.
```
Suggests:
patrick
```
## Use
Many packages within R employ the following pattern when writing tests:
```
test_that("Data is a successfully converted: numeric", {
input <- convert(numeric_data)
expect_type(input, "double")
})
test_that("Data is a successfully converted: character", {
input <- convert(character_data)
expect_type(input, "character")
})
```
While explicit, recycling a test pattern like this is prone to user error and
other issues, as it is a violation of the classic DNRY rule (do not repeat
yourself). `patrick` eliminates this problem by creating test parameters.
```
with_parameters_test_that("Data is successfully converted:", {
input <- convert(test_data)
expect_type(input, type)
},
test_data = list(numeric_data, character_data),
type = c("double", "character"),
.test_name = type
)
```
Parameterized tests behave exactly the same as standard `testthat` tests. Per
usual, you call all of your tests with `devtools::test`, and they'll also run
during package checks. Each executes independently and then your test report
will produce a single report. A complete name for each test will be formed using
the initial test description and the strings in the `.test_name` parameter.
Small sets of cases can be reasonably passed as parameters to
`with_parameters_test_that`. This becomes less readable when the number of cases
increases. To help mitigate this issue, `patrick` provides a case generator
helper function.
```
with_parameters_test_that("Data is successfully converted:", {
input <- convert(test_data)
expect_type(input, type)
},
cases(
double = list(test_data = numeric_data, type = "double"),
character = list(test_data = character_data, type = "character")
)
)
```
More complicated testing cases can be constructed using data frames. This is
usually best handled within a helper function and in a `helper-.R` file.
```
make_cases <- function() {
tibble::tribble(
~ .test_name, ~ expr, ~ numeric_value,
"sin", sin(pi / 4), 1 / sqrt(2),
"cos", cos(pi / 4), 1 / sqrt(2),
"tan", tan(pi / 4), 1
)
}
with_parameters_test_that(
"trigonometric functions match identities",
{
testthat::expect_equal(expr, numeric_value)
},
.cases = make_cases()
)
```
If you don't provide test names when generating cases, `patrick` will generate
them automatically from the test data.
## Inspiration
This package is inspired by parameterized testing packages in other languages,
notably the [`parameterized`](https://github.com/wolever/parameterized) library
in Python.
## Contributing
Please read the
[`CONTRIBUTING.md`](https://github.com/google/patrick/blob/master/CONTRIBUTING.md)
for details on how to contribute to this project.
## Disclaimer
This is not an officially supported Google product.