testy
php-easycheck
testy | php-easycheck | |
---|---|---|
3 | 1 | |
34 | 0 | |
- | - | |
5.1 | 10.0 | |
4 months ago | over 8 years ago | |
Go | PHP | |
MIT License | - |
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testy
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Russ Cox: Go Testing by Example
Agreed with most of this but I’m skeptical of the rsc.io/script dsl approach. I’ll try it, though, because Russ is often right.
shameless advert: do you wish testify was implemented with generics and go-cmp, and had a more understandable surface area? Check out my small zero-dep library, Testy https://github.com/peterldowns/testy
shameless advert: do you want to write tests against your postgres database, but each new test adds seconds to your test suite? Check out pgtestdb, the marginal cost of each test is measured in tens of milliseconds, and each test gets a unique and isolated postgres instance — with all your migrations applied. https://github.com/peterldowns/pgtestdb
- Show HN: Testy, a better Golang testing library
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Ask HN: What's your favorite software testing framework and why?
Finished, take a look if you're curious --
https://github.com/peterldowns/testy
php-easycheck
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Ask HN: What's your favorite software testing framework and why?
I tend to use anything that offers property-testing, since tests are much shorter to write and uncover lots more hidden assumptions.
My go-to choices per language are:
- Python: Hypothesis https://hypothesis.readthedocs.io/en/latest (also compatible with PyTest)
- Scala: ScalaCheck https://scalacheck.org (also compatible with ScalaTest)
- Javascript/Typescript: JSVerify https://jsverify.github.io
- Haskell: LazySmallCheck2012 https://github.com/UoYCS-plasma/LazySmallCheck2012/blob/mast...
- When I wrote PHP (over a decade ago) there was no decent property-based test framework, so I cobbled one together https://github.com/Warbo/php-easycheck
All of the above use the same basic setup: tests can make universally-quantified statements (e.g. "for all (x: Int), foo(x) == foo(foo(x))"), then the framework checks that statement for a bunch of different inputs.
Most property-checking frameworks generate data randomly (with more or less sophistication). The Haskell ecosystem is more interesting:
- QuickCheck was one of the first property-testing frameworks, using random genrators.
- SmallCheck came later, which enumerates data instead (e.g. testing a Float might use 0, 1, -1, 2, -2, 0.5, -0.5, etc.). That's cute, but QuickCheck tends to exercise more code paths with each input.
- LazySmallCheck builds up test data on-demand, using Haskell's pervasive laziness. Tests are run with an error as input: if they pass, we're done; if they fail, we're done; if they trigger the error, they're run again with slightly more-defined inputs. For example, if the input is supposed to be a list, we try again with the two forms of list: empty and "cons" (the arguments to cons are both errors, to begin with). This exercises even more code paths for each input.
- LazySmallCheck2012 is a more versatile "update" to LazySmallCheck; in particular, it's able to generate functions.
What are some alternatives?
jsverify - Write powerful and concise tests. Property-based testing for JavaScript. Like QuickCheck.
embedded-postgres - Java embedded PostgreSQL component for testing
tricorder - Automation the KISS way
bats - Bash Automated Testing System
vitest - Next generation testing framework powered by Vite.
greenlight - Clojure integration testing framework
hitchstory - Type-safe YAML integration tests. Tests that write your docs. Tests that rewrite themselves.
ospec - Noiseless testing framework