JSVerify
Property based checking. Like QuickCheck.
Getting Started
Install the module with: npm install jsverify
Synopsis
var jsc = require("jsverify");
var boolFnAppliedThrice =
jsc.forall("bool -> bool", "bool", function (f, b) {
return f(f(f(b))) === f(b);
});
jsc.assert(boolFnAppliedThrice);
Documentation
Usage with mocha
Using jsverify with mocha is easy, just define the properties and use jsverify.assert
.
Starting from version 0.4.3 you can write your specs without any boilerplate:
describe("sort", function () {
jsc.property("idempotent", "array nat", function (arr) {
return _.isEqual(sort(sort(arr)), sort(arr));
});
});
You can also provide --jsverifyRngState state
command line argument, to run tests with particular random generator state.
$ mocha examples/nat.js
1) natural numbers are less than 90:
Error: Failed after 49 tests and 1 shrinks. rngState: 074e9b5f037a8c21d6; Counterexample: 90;
$ mocha examples/nat.js --grep 'are less than' --jsverifyRngState 074e9b5f037a8c21d6
1) natural numbers are less than 90:
Error: Failed after 1 tests and 1 shrinks. rngState: 074e9b5f037a8c21d6; Counterexample: 90;
Errorneous case is found with first try.
Check jasmineHelpers.js and jasmineHelpers2.js for jasmine 1.3 and 2.0 respectively.
API
Testing shows the presence, not the absence of bugs.
Edsger W. Dijkstra
To show that propositions hold, we need to construct proofs.
There are two extremes: proof by example (unit tests) and formal (machine-checked) proof.
Property-based testing is somewhere in between.
We formulate propositions, invariants or other properties we believe to hold, but
only test it to hold for numerous (randomly generated) values.
Types and function signatures are written in Coq/Haskell influented style:
C# -style List<T> filter(List<T> v, Func<T, bool> predicate)
is represented by
filter (v : array T) (predicate : T -> bool) : array T
in our style.
jsverify
can operate with both synchronous and asynchronous-promise properties.
Generally every property can be wrapped inside functor,
for now in either identity or promise functor, for synchronous and promise properties respectively.
Properties
-
forall(arbs: arbitrary a ..., userenv: (map arbitrary)?, prop : a -> property): property
Property constructor
-
check (prop: property, opts: checkoptions?): result
Run random checks for given prop
. If prop
is promise based, result is also wrapped in promise.
Options:
opts.tests
- test count to run, default 100opts.size
- maximum size of generated values, default 5opts.quiet
- do not console.log
opts.rngState
- state string for the rng
The result
is true
if check succeeds, otherwise it's an object with various fields:
counterexample
- an input for which property fails.tests
- number of tests run before failing case is foundshrinks
- number of shrinks performedexc
- an optional exception thrown by property functionrngState
- random number generator's state before execution of the property
-
assert(prop: property, opts: checkoptions?) : void
Same as check
, but throw exception if property doesn't hold.
-
property(name: string, ...)
Assuming there is globally defined it
, the same as:
it(name, function () {
jsc.assert(jsc.forall(...));
}
You can use property
to write facts too:
jsc.property("+0 === -0", function () {
return +0 === -0;
});
-
compile(desc: string, env: typeEnv?): arbitrary a
Compile the type describiption in provided type environment, or default one.
-
sampler(arb: arbitrary a, genSize: nat = 10): (sampleSize: nat?) -> a
Create a sampler for a given arbitrary with an optional size. Handy when used in
a REPL:
> jsc = require('jsverify') // or require('./lib/jsverify') w/in the project
...
> jsonSampler = jsc.sampler(jsc.json, 4)
[Function]
> jsonSampler()
0.08467432763427496
> jsonSampler()
[ [ [] ] ]
> jsonSampler()
''
> sampledJson(2)
[-0.4199344692751765, false]
Types
generator a
is a function (size: nat) -> a
.show
is a function a -> string
.shrink
is a function a -> [a]
, returning smaller values.arbitrary a
is a triple of generator, shrink and show functions.
{ generator: nat -> a, shrink : a -> array a, show: a -> string }
DSL for input parameters
There is a small DSL to help with forall
. For example the two definitions below are equivalent:
var bool_fn_applied_thrice = jsc.forall("bool -> bool", "bool", check);
var bool_fn_applied_thrice = jsc.forall(jsc.fn(jsc.bool()), jsc.bool(), check);
The DSL is based on a subset of language recognized by typify-parser:
- identifiers are fetched from the predefined environment.
- applications are applied as one could expect:
"array bool"
is evaluated to jsc.array(jsc.bool)
. - functions are supported:
"bool -> bool"
is evaluated to jsc.fn(jsc.bool)
. - square brackets are treated as a shorthand for the array type:
"[nat]"
is evaluated to jsc.array(jsc.nat)
. - union:
"bool | nat"
is evaulated to jsc.oneof(jsc.bool, jsc.nat)
.
- Note
oneof
cannot be shrinked, because the union is untagged, we don't know which shrink to use.
- anonymous records:
"{ b: bool, n: nat}"
is evaluated to jsc.record({ n: jsc.bool, n: jsc.nat })
.
Arbitrary data
-
.smap(f: a -> b, g: b -> a, newShow: (b -> string)?): arbitrary b
Transform arbitrary a
into arbitrary b
. For example:
g
should be a right inverse of f
, but doesn't need to be complete inverse.
i.e. i.e. f
doesn't need to be invertible, only surjective.
var positiveIntegersArb = nat.smap(
function (x) { return x + 1; },
function (x) { return x - 1; });
var setNatArb = jsc.array(jsc.nat).smap(_.uniq, _.identity);
Right inverse means that f(g(y)) = y for all y in Y. Here Y is a type of arrays of unique natural numbers. For them
_.uniq(_.identity(y)) = _.uniq(y) = y
Opposite: g(f(x)) for all x in X, doesn't need to hold. X is arrays of natural numbers:
_.identity(_uniq([0, 0])) = [0]] != [0, 0]
We need an inverse for shrinking, and there right inverse is enough. We can always pull back smap
ped value and shrink the preimage, and map or push forward shrinked preimages again.
-
bless(arb: {...}): arbitrary a
Bless almost arbitrary structure to be proper arbitrary. Note: this function mutates argument.
Example:
var arbTokens = jsc.bless({
generator: function () {
switch (jsc.random(0, 2)) {
case 0: return "foo";
case 1: return "bar";
case 2: return "quux";
}
}
});
Primitive arbitraries
-
integer: arbitrary integer
-
integer(maxsize: nat): arbitrary integer
-
integer(minsize: integer, maxsize: integer): arbitrary integer
Integers, ℤ
-
nat: arbitrary nat
-
nat(maxsize: nat): arbitrary nat
Natural numbers, ℕ (0, 1, 2...)
-
number: arbitrary number
-
number(maxsize: number): arbitrary number
-
number(min: number, max: number): arbitrary number
JavaScript numbers, "doubles", ℝ. NaN
and Infinity
are not included.
-
uint8: arbitrary nat
-
uint16: arbitrary nat
-
uint32: arbitrary nat
-
int8: arbitrary integer
-
int16: arbitrary integer
-
int32: arbitrary integer
-
bool: arbitrary bool
Booleans, true
or false
.
-
datetime: arbitrary datetime
Random datetime
-
elements(args: array a): arbitrary a
Random element of args
array.
-
falsy: arbitrary *
Generates falsy values: false
, null
, undefined
, ""
, 0
, and NaN
.
-
constant(x: a): arbitrary a
Returns an unshrinkable arbitrary that yields the given object.
Arbitrary combinators
-
nonshrink(arb: arbitrary a): arbitrary a
Non shrinkable version of arbitrary arb
.
-
unit: arbitrary ()
-
either(arbA: arbitrary a, arbB : arbitrary b): arbitrary (either a b)
-
pair(arbA: arbitrary a, arbB : arbitrary b): arbitrary (pair a b)
If not specified a
and b
are equal to value()
.
-
tuple(arbs: (arbitrary a, arbitrary b...)): arbitrary (a, b...)
-
dict(arb: arbitrary a): arbitrary (dict a)
Generates a JavaScript object with properties of type A
.
-
array(arb: arbitrary a): arbitrary (array a)
-
nearray(arb: arbitrary a): arbitrary (array a)
-
json: arbitrary json
JavaScript Objects: boolean, number, string, array of json
values or object with json
values.
-
oneof(gs : array (arbitrary a)...) : arbitrary a
Randomly uses one of the given arbitraries.
Arbitrary records
-
record(spec: { key: arbitrary a... }, userenv: env?): arbitrary { key: a... }
Generates a javascript object with given record spec.
-
generator.record(gen: { key: generator a... }): generator { key: a... }
-
shrink.record(shrs: { key: shrink a... }): shrink { key: a... }
Arbitrary strings
-
char: arbitrary char
— Single character
-
asciichar: arbitrary char
— Single ascii character (0x20-0x7e inclusive, no DEL)
-
string: arbitrary string
-
nestring: arbitrary string
— Generates strings which are not empty.
-
asciistring: arbitrary string
-
asciinestring: arbitrary string
Arbitrary functions
fn(arb: arbitrary a): arbitrary (b -> a)
fun(arb: arbitrary a): arbitrary (b -> a)
Small arbitraries
generator.small(gen: generator a): generator a
small(arb: arbitrary a): arbitrary a
Create a generator (abitrary) which will generate smaller values, i.e. generator's size
parameter is decreased logarithmically.
jsc.property("small array of small natural numbers", "small (array nat)", function (arr) {
return Array.isArray(arr);
});
jsc.property("small array of normal natural numbers", "(small array) nat", function (arr) {
return Array.isArray(arr);
});
Generator functions
A generator function, generator a
, is a function (size: nat) -> a
, which generates a value of given size.
Generator combinators are auto-curried:
var xs = generator.array(shrink.nat, 1);
var ys = generator.array(shrink.nat)(1);
In purely functional approach generator a
would be explicitly stateful computation:
(size: nat, rng: randomstate) -> (a, randomstate)
.
JSVerify uses an implicit random number generator state,
but the value generation is deterministic (tests reproduceable),
if the primitives from random module are used.
-
generator.bless(f: nat -> a): generator a
Bless function with .map
and .flatmap
properties.
-
.map(f: a -> b): generator b
Map generator a
into generator b
. For example:
positiveIntegersGenerator = nat.generator.map(
function (x) { return x + 1; });
-
.flatmap(f: a -> generator b): generator b
Monadic bind for generators. Also flatMap
version is supported.
-
generator.constant(x: a): generator a
-
generator.combine(gen: generator a..., f: a... -> b): generator b
-
generator.oneof(gens: list (generator a)): generator a
-
generator.recursive(genZ: generator a, genS: generator a -> generator a): generator a
-
generator.pair(genA: generator a, genB: generator b): generator (a, b)
-
generator.either(genA: generator a, genB: generator b): generator (either a b)
-
`generator.unit: generator ()
unit
is an empty tuple, i.e. empty array in JavaScript representation. This is useful as a building block.
-
generator.tuple(gens: (generator a, generator b...): generator (a, b...)
-
generator.array(gen: generator a): generator (array a)
-
generator.nearray(gen: generator a): generator (array a)
-
generator.dict(gen: generator a): generator (dict a)
Shrink functions
A shrink function, shrink a
, is a function a -> [a]
, returning an array of smaller values.
Shrink combinators are auto-curried:
var xs = shrink.array(shrink.nat, [1]);
var ys = shrink.array(shrink.nat)([1]);
-
shrink.bless(f: a -> [a]): shrink a
Bless function with .smap
property.
-
.smap(f: a -> b, g: b -> a): shrink b
Transform shrink a
into shrink b
. For example:
positiveIntegersShrink = nat.shrink.smap(
function (x) { return x + 1; },
function (x) { return x - 1; });
-
shrink.noop: shrink a
-
shrink.pair(shrA: shrink a, shrB: shrink b): shrink (a, b)
-
shrink.either(shrA: shrink a, shrB: shrink b): shrink (either a b)
-
shrink.tuple(shrs: (shrink a, shrink b...)): shrink (a, b...)
-
shrink.array(shr: shrink a): shrink (array a)
-
shrink.nearray(shr: shrink a): shrink (nearray a)
Show functions
-
show.def(x : a): string
Currently implemented as JSON.stringify
.
-
show.pair(showA: a -> string, showB: b -> string, x: (a, b)): string
-
show.either(showA: a -> string, showB: b -> string, e: either a b): string
-
show.tuple(shrinks: (a -> string, b -> string...), x: (a, b...)): string
-
show.array(shrink: a -> string, x: array a): string
Random functions
-
random(min: int, max: int): int
Returns random int from [min, max]
range inclusively.
getRandomInt(2, 3)
-
random.number(min: number, max: number): number
Returns random number from [min, max)
range.
either
-
either.left(value: a): either a b
-
either.right(value: b): either a b
-
either.either(l: a -> x, r: b -> x): x
-
`either.isEqual(other: either a b): bool
TODO: add eq
optional parameter
-
either.bimap(f: a -> c, g: b -> d): either c d
either.bimap(compose(f, g), compose(h, i)) ≡ either.bimap(g, i).bimap(f, h);
-
either.first(f: a -> c): either c b
either.first(f) ≡ either.bimap(f, utils.identity)
-
either.second(g: b -> d): either a d
either.second(g) === either.bimap(utils.identity, g)
Utility functions
Utility functions are exposed (and documented) only to make contributions to jsverify more easy.
The changes here don't follow semver, i.e. there might be backward-incompatible changes even in patch releases.
Use underscore.js, lodash, ramda, lazy.js or some other utility belt.
-
utils.isEqual(x: json, y: json): bool
Equality test for json
objects.
-
utils.force(x: a | () -> a) : a
Evaluate x
as nullary function, if it is one.
-
utils.merge(x... : obj): obj
Merge two objects, a bit like _.extend({}, x, y)
.
FAQ
Why do all the examples import the library as jsc instead of jsv?
Does JSC originate with JSCheck?
A: Yes
smap requires an inverse function, which isn't always practical. Is this complexity related to shrinking?
A: Yes. We don't want to give an easy-to-use interface which forgets
shrinking altogether. Note, that right inverse is enough, which is most
likely easy to write, even complete inverse doesn't exist.
Contributing
README.md
is generated from the source with ljsjsverify.standalone.js
is also generated by the build process- Before creating a pull request run
make test
, yet travis will do it for you.
Release History
-
0.6.0-beta.1 — 2015-05-04 — Beta!
- FAQ section
- Improved
smap
documentation flatmap
is also flatMap
- Fix function arbitrary
small
arbitrariesjsc.generator.record
- Thanks to @peterjoel for reporting issues
-
0.6.0-alpha.6 — 2015-04-25 — Fix issues #98
- Documentation imporovements
- Fix issue #98 - error while generating
int32
values
-
0.6.0-alpha.5 — 2015-04-23 — Fix issue #99
- Documentation improvements
- Fix issue #99 (
suchthat
shrink)
-
0.6.0-alpha.4 — 2015-04-26 — Fix issue #87
- jsc.property didn't fail with asynchronous properties
- thanks @Ezku for reporting
-
0.6.0-alpha.3 — 2015-04-24 — promise shrink fixed
-
0.6.0-alpha.2 — 2015-04-24 — jsc.bless
-
0.6.0-alpha.1 — 2015-04-22 — Preview
- Using lazy sequences for shrink results
- Breaking changes:
jsc.map
renamed to jsc.dict
jsc.value
removed, use jsc.json
jsc.string()
removed, use jsc.string
shrink.isomap
renamed to shrink.smap
-
0.5.3 — 2015-04-21 — More algebra
unit
and either
arbitrariesarbitrary.smap
to help creating compound data
-
0.5.2 — 2015-04-10 — show.def
-change
-
0.5.1 — 2015-02-19 — Dependencies bump
- We also work on 0.12 and iojs!
-
0.5.0 — 2014-12-24 — Merry Chrismas 2014!
-
0.5.0-beta.2 — 2014-12-21 — Beta 2!
- Pair & tuple related code cleanup
- Update
CONTRIBUTING.md
- Small documentation type fixes
- Bless
jsc.elements
shrink
-
0.5.0-beta.1 — 2014-12-20 — Beta!
bless
don't close over (uses this
)- Cleanup generator module
- Other code cleanup here and there
-
0.4.6 — 2014-11-30 — better shrinks & recursive
- Implemented shrinks: #51
jsc.generator.recursive
: #37- array, nearray & map generators return a bit smaller results (log2 of size)
-
0.4.5 — 2014-11-22 — stuff
generator.combine
& .flatmap
nat
, integer
, number
& and string
act as objects too
-
0.4.4 — 2014-11-22 — new generators
- New generators:
nearray
, nestring
generator.constant
- zero-ary
jsc.property
(it ∘ assert) jsc.sampler
-
0.4.3 — 2014-11-08 — jsc.property
- Now you can write your bdd specs without any boilerplate
- support for nat-litearls in dsl #36
describe("Math.abs", function () {
jsc.property("result is non-negative", "integer 100", function (x) {
return Math.abs(x) >= 0;
});
});
- Falsy generator #42
-
0.4.2 — 2014-11-03 — User environments for DSL
- User environments for DSL
- Generator prototype
map
, and shrink prototype isomap
- JSON generator works with larger sizes
-
0.4.1 Move to own organization in GitHub
-
0.4.0 — 2014-10-27 — typify-dsl & more arbitraries.
Changes from 0.3.6:
- DSL for
forall
and suchthat
- new primitive arbitraries
oneof
behaves as in QuickCheck (BREAKING CHANGE)elements
is new name of old oneof
- Other smaller stuff under the hood
-
0.4.0-beta.4 generator.oneof
-
0.4.0-beta.3 Expose shrink and show modules
-
0.4.0-beta.2 Move everything around
- Better looking README.md!
-
0.4.0-beta.1 Beta!
-
0.4.0-alpha8 oneof & record -dsl support
- also
jsc.compile
- record is shrinkable!
-
0.4.0-alpha7 oneof & record
- oneof and record generator combinators (@fson)
- Fixed uint* generators
- Default test size increased to 10
- Numeric generators with size specified are independent of test size (#20)
-
0.4.0-alpha6 more primitives
- int8, int16, int32, uint8, uint16, uint32
- char, asciichar and asciistring
- value → json
- use eslint
-
0.4.0-alpha5 move david to be devDependency
-
0.4.0-alpha4 more typify
suchchat
supports typify dsloneof
→ elements
to be in line with QuickCheck- Added versions of examples using typify dsl
-
0.4.0-alpha3 David, npm-freeze and jscs
-
0.4.0-alpha2 Fix typo in readme
-
0.4.0-alpha1 typify
-
DSL for forall
var bool_fn_applied_thrice = jsc.forall("bool -> bool", "bool", check);
-
generator arguments, which are functions are evaluated. One can now write:
jsc.forall(jsc.nat, check)
-
0.3.6 map generator
-
0.3.5 Fix forgotten rngState in console output
-
0.3.4 Dependencies update
-
0.3.3 Dependencies update
-
0.3.2 fun
→ fn
-
0.3.1 Documentation typo fixes
-
0.3.0 Major changes
- random generate state handling
--jsverifyRngState
parameter value used when run on node- karma tests
- use make
- dependencies update
-
0.2.0 Use browserify
-
0.1.4 Mocha test suite
-
0.1.3 gen.show and exception catching
-
0.1.2 Added jsc.assert
-
0.1.1 Use grunt-literate
-
0.1.0 Usable library
-
0.0.2 Documented preview
-
0.0.1 Initial preview
Related work
JavaScript
Others
The MIT License (MIT)
Copyright (c) 2013, 2014 Oleg Grenrus
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.