"If thou testest me, thou wilt find no wickedness in me" Psalms 17:3
tools.testest is a Factor vocabulary for writing test cases on Codewars, tuned to the Codewars framework by appropriately formatted messages written by nomennescio (https://github.com/nomennescio).
For code testing a solution solve:
IN: your-kata
: solve ( ... )
... your solution ...
in your test code USE: tools.testest and structure your tests. Tests are run by executing the MAIN: entrypoint, which points to a word with no stack effects. A typical generic test setup looks like:
USING: tools.testest your-kata.preloaded ... vocabs used by tests ... ;
FROM: your-kata => solve ;
IN: your-kata.tests
: run-tests ( -- )
... your test code ...
;
MAIN: run-tests
where run-tests calls solve with different test vectors for each test case.
Test cases are partitioned into one or more describe#{ sections, which can be nested, where each section has one or more test cases grouped under section it#{. A single test case is run by <{ ... actual results ... -> ... expected results ... }> where both sides can contain words that are called to process inputs and/or outputs. The test case checks if the implicit sequence of actual results on the left of -> compares equal (using the = word) to the sequence of expected results on the right. It passes upon success, and fails upon failure. This is reported in the Codewars runner. Note that any <{ .. }> does not affect the stack when it has completed. Both describe#{ and it#{ sections report their execution time (load and compile time before MAIN: can be determined from the environment).
Typical Factor testcode to test a solution solve ( a b c -- d ) looks like:
: your-solve ( a b c -- d )
... your reference solution ...
;
:: run-tests ( -- )
"Specific test cases" describe#{
"Test case 1" it#{
<{ 1 2 3 solve -> 6 }>
}#
"Test case 2" it#{
<{ 4 5 6 solve -> 15 }>
}#
}#
"Random test cases" describe#{
"Single Test Group" it#{
100 [
1000 random :> r
<{ r r 3 * r 5 - solve -> r r 3 * r 5 - your-solve }>
] times
}#
100 [
"Testing for " 1000 random :> r r number>string append
it#{ <{ r 2 4 solve -> r 2 4 reference-solve }> }#
] times
}#
;
Default messages are shown when a test passes or fails. These messages can be customised using with-passed, with-failed, and with-passed-failed combinators, with the following stack effects:
: with-passed ( passed quot -- )
: with-failed ( failed quot -- )
: with-passed-failed ( passed failed quot -- )
Both passed and failed are quotations, one of which is called after each test inside quot is executed when it passes or fails. The signatures of passed and failed are:
: passed ( -- )
: failed ( error -- )
The argument to failed is an assert-sequence error with slots got for a sequence of actual results and expected for a sequence of expected results, the last element is the top of the stack. Both the passed and failed quotations can write messages to the output stream. Newlines are converted to platform specific line separators.
Custom messages can be nested, and are restored outside the scope of the quotation passed to the with-passed, with-failed, and with-passed-failed combinators.
: run-tests ( -- )
...
[ "Just passed" ] [
[ [ "Expected: " write expected>> . ] [ nl "Actual: " write got>> . ] bi ] [
<{ 1 4 add -> 5 }>
<{ 2 3 add -> 5 }>
] with-failed
] with-passed
...
;
Factor can throw errors, and as errors are first-class objects, the testest library supports testing of thrown errors in an intuitive way. If test code on the right side of the arrow -> throws an error, the left side is expected to throw that same error, if it does, the test passes, if it doesn't the test fails. On the other hand, if the code on the right does not throw an error, any error thrown by the left side is considered as an unexpected error and reported as such. To help analysing thrown errors, all ERROR:s are printed in a special format by the default failure handler, and thrown errors are marked. All errors inside <{ .. }> are captured and not rethrown.
ERROR: custom-error error-message integer-argument ;
: run-tests ( -- )
"System and custom errors tests" describe#{
"Unexpected divide by 0 error in user code" it#{
<{ 1 0 / -> 1 }>
}#
"Unexpected custom error in user code" it#{
<{ "thrown custom error" 1 custom-error -> 1 }>
}#
"Expected custom error" it#{
<{ "thrown custom error" 1 custom-error -> "thrown custom error" 1 custom-error }>
}#
"Missing expected custom error" it#{
<{ 1 -> "thrown custom error" 1 custom-error }>
}#
}#
In some situations solutions compute an inexact result. The math.margins vocabulary can be used to convert a real result into a margin, which can then be compared against a predefined expected value with acceptable margins defined using the implicitly used = by each test case. Three types of margins are supported: margin, abs-margin, and rel-margin, representing general margins, margins with absolute error bound, and margins with a relative error bound respectively, each with a different visual representation, but giving the same outcome from a comparison point of view. These can be constructed with
: <margin> ( from central to -- margin )
: [a-e,a+e] ( a epsilon -- margin )
: [a-%,a+%] ( a percent -- margin )
The latter two have aliases ± for [a-e,a+e] and ±% for [a-%,a+%].
Reals can be converted in margins for comparison with >margin or its alias >±. Comparing using = with a constructed margin will compare against the margin's boundaries, if the real falls within the boundaries true is returned, else false.
Margin comparisons are not true equivalence relations, but are tolerance relations, as they are reflexive and symmetric, but not necessarily transitive.
: run-tests ( -- )
"Example test" describe#{
"Absolute margin" it#{ <{ 20 sin >± -> 0 1 ± }> }#
"Relative margin" it#{ <{ calculate-pi >± -> pi 1 ±% }> }#
}#
;
The first example calculates a sine, converts to a margin, then compares against 0±1, i.e. all values within the range [-1,1] will pass the test.
The second examples calculates pi to a certain precision, converts it to margin, then compares against builtin pi±1%, i.e. all values within the range [pi-pi*1/100, pi+pi*1/100] will pass the test.
Some users requested features to be added to the library, which although useful, might not be common enough to warrant their inclusion yet.
I list these usecases here, with utility words which implement the feature
When using relative margins, the closer the value gets to zero, the smaller the effective margin gets, until it is zero at value zero. The %e word calculates a relative margin such that it will never get smaller than epsilon
: %e ( value percent epsilon -- value max(rel,abs) ) [ over * 100 / ] dip max ;
Example usage
pi 1 1e-10 %e ±
creates a margin of pi within 1%, or absolute margin 1e-10, whatever is larger