| Safe Haskell | Safe-Inferred |
|---|---|
| Language | Haskell2010 |
Test.Tasty.QuickCheck
Description
This module allows to use QuickCheck properties in tasty.
Synopsis
- testProperty :: Testable a => TestName -> a -> TestTree
- testProperties :: TestName -> [(String, Property)] -> TestTree
- newtype QuickCheckTests = QuickCheckTests Int
- newtype QuickCheckReplay = QuickCheckReplay (Maybe Int)
- newtype QuickCheckShowReplay = QuickCheckShowReplay Bool
- newtype QuickCheckMaxSize = QuickCheckMaxSize Int
- newtype QuickCheckMaxRatio = QuickCheckMaxRatio Int
- newtype QuickCheckVerbose = QuickCheckVerbose Bool
- newtype QuickCheckMaxShrinks = QuickCheckMaxShrinks Int
- data Fun a b = Fun (a :-> b, b, Shrunk) (a -> b)
- data Gen a
- class CoArbitrary a where
- coarbitrary :: a -> Gen b -> Gen b
- class Arbitrary2 (f :: Type -> Type -> Type) where
- liftArbitrary2 :: Gen a -> Gen b -> Gen (f a b)
- liftShrink2 :: (a -> [a]) -> (b -> [b]) -> f a b -> [f a b]
- class Arbitrary1 (f :: Type -> Type) where
- liftArbitrary :: Gen a -> Gen (f a)
- liftShrink :: (a -> [a]) -> f a -> [f a]
- class Arbitrary a where
- newtype PrintableString = PrintableString {}
- newtype UnicodeString = UnicodeString {}
- newtype ASCIIString = ASCIIString {}
- class ShrinkState s a where
- shrinkInit :: a -> s
- shrinkState :: a -> s -> [(a, s)]
- data Shrinking s a = Shrinking s a
- data Smart a = Smart Int a
- newtype Shrink2 a = Shrink2 {
- getShrink2 :: a
- newtype Small a = Small {
- getSmall :: a
- newtype Large a = Large {
- getLarge :: a
- newtype NonPositive a = NonPositive {
- getNonPositive :: a
- newtype NonNegative a = NonNegative {
- getNonNegative :: a
- newtype NonZero a = NonZero {
- getNonZero :: a
- newtype Negative a = Negative {
- getNegative :: a
- newtype Positive a = Positive {
- getPositive :: a
- newtype SortedList a = Sorted {
- getSorted :: [a]
- data InfiniteList a = InfiniteList {
- getInfiniteList :: [a]
- infiniteListInternalData :: InfiniteListInternalData a
- newtype NonEmptyList a = NonEmpty {
- getNonEmpty :: [a]
- newtype OrderedList a = Ordered {
- getOrdered :: [a]
- newtype Fixed a = Fixed {
- getFixed :: a
- newtype Blind a = Blind {
- getBlind :: a
- class Function a where
- data Confidence = Confidence {}
- data Discard = Discard
- class Testable prop where
- data Property
- pattern Fn3 :: (a -> b -> c -> d) -> Fun (a, b, c) d
- pattern Fn2 :: (a -> b -> c) -> Fun (a, b) c
- pattern Fn :: (a -> b) -> Fun a b
- failingClasses :: Result -> Set String
- failingLabels :: Result -> [String]
- failingTestCase :: Result -> [String]
- theException :: Result -> Maybe AnException
- reason :: Result -> String
- usedSize :: Result -> Int
- usedSeed :: Result -> QCGen
- numShrinkFinal :: Result -> Int
- numShrinkTries :: Result -> Int
- numShrinks :: Result -> Int
- output :: Result -> String
- tables :: Result -> Map String (Map String Int)
- classes :: Result -> Map String Int
- labels :: Result -> Map [String] Int
- numDiscarded :: Result -> Int
- numTests :: Result -> Int
- pattern NoExpectedFailure :: Int -> Int -> !(Map [String] Int) -> !(Map String Int) -> !(Map String (Map String Int)) -> String -> Result
- pattern Failure :: Int -> Int -> Int -> Int -> Int -> QCGen -> Int -> String -> Maybe AnException -> String -> [String] -> [String] -> Set String -> Result
- pattern Success :: Int -> Int -> !(Map [String] Int) -> !(Map String Int) -> !(Map String (Map String Int)) -> String -> Result
- pattern GaveUp :: Int -> Int -> !(Map [String] Int) -> !(Map String Int) -> !(Map String (Map String Int)) -> String -> Result
- (==>) :: Testable prop => Bool -> prop -> Property
- discard :: a
- variant :: Integral n => n -> Gen a -> Gen a
- sized :: (Int -> Gen a) -> Gen a
- getSize :: Gen Int
- resize :: Int -> Gen a -> Gen a
- scale :: (Int -> Int) -> Gen a -> Gen a
- choose :: Random a => (a, a) -> Gen a
- chooseAny :: Random a => Gen a
- chooseEnum :: Enum a => (a, a) -> Gen a
- chooseInt :: (Int, Int) -> Gen Int
- chooseBoundedIntegral :: (Bounded a, Integral a) => (a, a) -> Gen a
- chooseInteger :: (Integer, Integer) -> Gen Integer
- generate :: Gen a -> IO a
- sample' :: Gen a -> IO [a]
- sample :: Show a => Gen a -> IO ()
- suchThat :: Gen a -> (a -> Bool) -> Gen a
- suchThatMap :: Gen a -> (a -> Maybe b) -> Gen b
- suchThatMaybe :: Gen a -> (a -> Bool) -> Gen (Maybe a)
- oneof :: [Gen a] -> Gen a
- frequency :: [(Int, Gen a)] -> Gen a
- elements :: [a] -> Gen a
- sublistOf :: [a] -> Gen [a]
- shuffle :: [a] -> Gen [a]
- growingElements :: [a] -> Gen a
- listOf :: Gen a -> Gen [a]
- listOf1 :: Gen a -> Gen [a]
- vectorOf :: Int -> Gen a -> Gen [a]
- infiniteListOf :: Gen a -> Gen [a]
- arbitrary1 :: (Arbitrary1 f, Arbitrary a) => Gen (f a)
- shrink1 :: (Arbitrary1 f, Arbitrary a) => f a -> [f a]
- arbitrary2 :: (Arbitrary2 f, Arbitrary a, Arbitrary b) => Gen (f a b)
- shrink2 :: (Arbitrary2 f, Arbitrary a, Arbitrary b) => f a b -> [f a b]
- genericShrink :: (Generic a, RecursivelyShrink (Rep a), GSubterms (Rep a) a) => a -> [a]
- recursivelyShrink :: (Generic a, RecursivelyShrink (Rep a)) => a -> [a]
- subterms :: (Generic a, GSubterms (Rep a) a) => a -> [a]
- shrinkList :: (a -> [a]) -> [a] -> [[a]]
- applyArbitrary2 :: (Arbitrary a, Arbitrary b) => (a -> b -> r) -> Gen r
- applyArbitrary3 :: (Arbitrary a, Arbitrary b, Arbitrary c) => (a -> b -> c -> r) -> Gen r
- applyArbitrary4 :: (Arbitrary a, Arbitrary b, Arbitrary c, Arbitrary d) => (a -> b -> c -> d -> r) -> Gen r
- arbitrarySizedIntegral :: Integral a => Gen a
- arbitrarySizedNatural :: Integral a => Gen a
- arbitrarySizedFractional :: Fractional a => Gen a
- arbitraryBoundedIntegral :: (Bounded a, Integral a) => Gen a
- arbitraryBoundedRandom :: (Bounded a, Random a) => Gen a
- arbitraryBoundedEnum :: (Bounded a, Enum a) => Gen a
- arbitrarySizedBoundedIntegral :: (Bounded a, Integral a) => Gen a
- arbitraryUnicodeChar :: Gen Char
- arbitraryASCIIChar :: Gen Char
- arbitraryPrintableChar :: Gen Char
- shrinkNothing :: a -> [a]
- shrinkMap :: Arbitrary a => (a -> b) -> (b -> a) -> b -> [b]
- shrinkMapBy :: (a -> b) -> (b -> a) -> (a -> [a]) -> b -> [b]
- shrinkIntegral :: Integral a => a -> [a]
- shrinkBoundedEnum :: (Bounded a, Enum a, Eq a) => a -> [a]
- shrinkRealFrac :: RealFrac a => a -> [a]
- shrinkDecimal :: RealFrac a => a -> [a]
- genericCoarbitrary :: (Generic a, GCoArbitrary (Rep a)) => a -> Gen b -> Gen b
- (><) :: (Gen a -> Gen a) -> (Gen a -> Gen a) -> Gen a -> Gen a
- coarbitraryIntegral :: Integral a => a -> Gen b -> Gen b
- coarbitraryReal :: Real a => a -> Gen b -> Gen b
- coarbitraryShow :: Show a => a -> Gen b -> Gen b
- coarbitraryEnum :: Enum a => a -> Gen b -> Gen b
- vector :: Arbitrary a => Int -> Gen [a]
- orderedList :: (Ord a, Arbitrary a) => Gen [a]
- infiniteList :: Arbitrary a => Gen [a]
- functionBoundedEnum :: (Eq a, Bounded a, Enum a) => (a -> b) -> a :-> b
- functionRealFrac :: RealFrac a => (a -> b) -> a :-> b
- functionIntegral :: Integral a => (a -> b) -> a :-> b
- functionShow :: (Show a, Read a) => (a -> c) -> a :-> c
- functionVoid :: (forall b. void -> b) -> void :-> c
- functionMap :: Function b => (a -> b) -> (b -> a) -> (a -> c) -> a :-> c
- applyFun :: Fun a b -> a -> b
- applyFun2 :: Fun (a, b) c -> a -> b -> c
- applyFun3 :: Fun (a, b, c) d -> a -> b -> c -> d
- ioProperty :: Testable prop => IO prop -> Property
- idempotentIOProperty :: Testable prop => IO prop -> Property
- mapSize :: Testable prop => (Int -> Int) -> prop -> Property
- shrinking :: Testable prop => (a -> [a]) -> a -> (a -> prop) -> Property
- noShrinking :: Testable prop => prop -> Property
- counterexample :: Testable prop => String -> prop -> Property
- printTestCase :: Testable prop => String -> prop -> Property
- whenFail :: Testable prop => IO () -> prop -> Property
- whenFail' :: Testable prop => IO () -> prop -> Property
- verboseShrinking :: Testable prop => prop -> Property
- expectFailure :: Testable prop => prop -> Property
- once :: Testable prop => prop -> Property
- again :: Testable prop => prop -> Property
- withMaxSuccess :: Testable prop => Int -> prop -> Property
- checkCoverage :: Testable prop => prop -> Property
- checkCoverageWith :: Testable prop => Confidence -> prop -> Property
- stdConfidence :: Confidence
- label :: Testable prop => String -> prop -> Property
- collect :: (Show a, Testable prop) => a -> prop -> Property
- classify :: Testable prop => Bool -> String -> prop -> Property
- cover :: Testable prop => Double -> Bool -> String -> prop -> Property
- tabulate :: Testable prop => String -> [String] -> prop -> Property
- coverTable :: Testable prop => String -> [(String, Double)] -> prop -> Property
- within :: Testable prop => Int -> prop -> Property
- discardAfter :: Testable prop => Int -> prop -> Property
- forAll :: (Show a, Testable prop) => Gen a -> (a -> prop) -> Property
- forAllShow :: Testable prop => Gen a -> (a -> String) -> (a -> prop) -> Property
- forAllBlind :: Testable prop => Gen a -> (a -> prop) -> Property
- forAllShrink :: (Show a, Testable prop) => Gen a -> (a -> [a]) -> (a -> prop) -> Property
- forAllShrinkShow :: Testable prop => Gen a -> (a -> [a]) -> (a -> String) -> (a -> prop) -> Property
- forAllShrinkBlind :: Testable prop => Gen a -> (a -> [a]) -> (a -> prop) -> Property
- (.&.) :: (Testable prop1, Testable prop2) => prop1 -> prop2 -> Property
- (.&&.) :: (Testable prop1, Testable prop2) => prop1 -> prop2 -> Property
- conjoin :: Testable prop => [prop] -> Property
- (.||.) :: (Testable prop1, Testable prop2) => prop1 -> prop2 -> Property
- disjoin :: Testable prop => [prop] -> Property
- (===) :: (Eq a, Show a) => a -> a -> Property
- (=/=) :: (Eq a, Show a) => a -> a -> Property
- total :: NFData a => a -> Property
- isSuccess :: Result -> Bool
- polyQuickCheck :: Name -> ExpQ
- polyVerboseCheck :: Name -> ExpQ
- monomorphic :: Name -> ExpQ
- labelledExamples :: Testable prop => prop -> IO ()
- labelledExamplesWith :: Testable prop => Args -> prop -> IO ()
- labelledExamplesResult :: Testable prop => prop -> IO Result
- labelledExamplesWithResult :: Testable prop => Args -> prop -> IO Result
- newtype QC = QC Property
- optionSetToArgs :: OptionSet -> IO (Int, Args)
Documentation
testProperty :: Testable a => TestName -> a -> TestTree Source #
Create a Test for a QuickCheck Testable property
testProperties :: TestName -> [(String, Property)] -> TestTree Source #
Create a test from a list of QuickCheck properties. To be used
with allProperties. E.g.
tests :: TestTree tests = testProperties "Foo" $allProperties
newtype QuickCheckTests Source #
Number of test cases for QuickCheck to generate
Constructors
| QuickCheckTests Int |
Instances
newtype QuickCheckReplay Source #
Constructors
| QuickCheckReplay (Maybe Int) |
Instances
| IsOption QuickCheckReplay Source # | |
Defined in Test.Tasty.QuickCheck | |
newtype QuickCheckShowReplay Source #
If a test case fails unexpectedly, show the replay token
Constructors
| QuickCheckShowReplay Bool |
Instances
| IsOption QuickCheckShowReplay Source # | |
Defined in Test.Tasty.QuickCheck | |
newtype QuickCheckMaxSize Source #
Size of the biggest test cases
Constructors
| QuickCheckMaxSize Int |
Instances
newtype QuickCheckMaxRatio Source #
Maximum number of of discarded tests per successful test before giving up.
Constructors
| QuickCheckMaxRatio Int |
Instances
newtype QuickCheckVerbose Source #
Show the test cases that QuickCheck generates
Constructors
| QuickCheckVerbose Bool |
Instances
| IsOption QuickCheckVerbose Source # | |
Defined in Test.Tasty.QuickCheck | |
newtype QuickCheckMaxShrinks Source #
Number of shrinks allowed before QuickCheck will fail a test.
Since: 0.10.2
Constructors
| QuickCheckMaxShrinks Int |
Instances
Re-export of Test.QuickCheck
Generation of random shrinkable, showable functions.
To generate random values of type Fun a bFunction a
A generator for values of type a.
The third-party packages
QuickCheck-GenT
and
quickcheck-transformer
provide monad transformer versions of Gen.
class CoArbitrary a where Source #
Used for random generation of functions.
You should consider using Fun instead, which
can show the generated functions as strings.
If you are using a recent GHC, there is a default definition of
coarbitrary using genericCoarbitrary, so if your type has a
Generic instance it's enough to say
instance CoArbitrary MyType
You should only use genericCoarbitrary for data types where
equality is structural, i.e. if you can't have two different
representations of the same value. An example where it's not
safe is sets implemented using binary search trees: the same
set can be represented as several different trees.
Here you would have to explicitly define
coarbitrary s = coarbitrary (toList s).
Minimal complete definition
Nothing
Methods
coarbitrary :: a -> Gen b -> Gen b Source #
Used to generate a function of type a -> b.
The first argument is a value, the second a generator.
You should use variant to perturb the random generator;
the goal is that different values for the first argument will
lead to different calls to variant. An example will help:
instance CoArbitrary a => CoArbitrary [a] where coarbitrary [] =variant0 coarbitrary (x:xs) =variant1 . coarbitrary (x,xs)
Instances
class Arbitrary2 (f :: Type -> Type -> Type) where Source #
Lifting of the Arbitrary class to binary type constructors.
Minimal complete definition
Methods
liftArbitrary2 :: Gen a -> Gen b -> Gen (f a b) Source #
liftShrink2 :: (a -> [a]) -> (b -> [b]) -> f a b -> [f a b] Source #
Instances
| Arbitrary2 Either | |
Defined in Test.QuickCheck.Arbitrary | |
| Arbitrary2 (,) | |
Defined in Test.QuickCheck.Arbitrary Methods liftArbitrary2 :: Gen a -> Gen b -> Gen (a, b) Source # liftShrink2 :: (a -> [a]) -> (b -> [b]) -> (a, b) -> [(a, b)] Source # | |
| Arbitrary2 (Const :: Type -> Type -> Type) | |
Defined in Test.QuickCheck.Arbitrary | |
| Arbitrary2 (Constant :: Type -> Type -> Type) | |
Defined in Test.QuickCheck.Arbitrary | |
class Arbitrary1 (f :: Type -> Type) where Source #
Lifting of the Arbitrary class to unary type constructors.
Minimal complete definition
Methods
liftArbitrary :: Gen a -> Gen (f a) Source #
liftShrink :: (a -> [a]) -> f a -> [f a] Source #
Instances
class Arbitrary a where Source #
Random generation and shrinking of values.
QuickCheck provides Arbitrary instances for most types in base,
except those which incur extra dependencies.
For a wider range of Arbitrary instances see the
quickcheck-instances
package.
Minimal complete definition
Methods
A generator for values of the given type.
It is worth spending time thinking about what sort of test data
you want - good generators are often the difference between
finding bugs and not finding them. You can use sample,
label and classify to check the quality of your test data.
There is no generic arbitrary implementation included because we don't
know how to make a high-quality one. If you want one, consider using the
testing-feat or
generic-random packages.
The QuickCheck manual goes into detail on how to write good generators. Make sure to look at it, especially if your type is recursive!
Produces a (possibly) empty list of all the possible immediate shrinks of the given value.
The default implementation returns the empty list, so will not try to
shrink the value. If your data type has no special invariants, you can
enable shrinking by defining shrink = , but by customising
the behaviour of genericShrinkshrink you can often get simpler counterexamples.
Most implementations of shrink should try at least three things:
- Shrink a term to any of its immediate subterms.
You can use
subtermsto do this. - Recursively apply
shrinkto all immediate subterms. You can userecursivelyShrinkto do this. - Type-specific shrinkings such as replacing a constructor by a simpler constructor.
For example, suppose we have the following implementation of binary trees:
data Tree a = Nil | Branch a (Tree a) (Tree a)
We can then define shrink as follows:
shrink Nil = [] shrink (Branch x l r) = -- shrink Branch to Nil [Nil] ++ -- shrink to subterms [l, r] ++ -- recursively shrink subterms [Branch x' l' r' | (x', l', r') <- shrink (x, l, r)]
There are a couple of subtleties here:
- QuickCheck tries the shrinking candidates in the order they
appear in the list, so we put more aggressive shrinking steps
(such as replacing the whole tree by
Nil) before smaller ones (such as recursively shrinking the subtrees). - It is tempting to write the last line as
[Branch x' l' r' | x' <- shrink x, l' <- shrink l, r' <- shrink r]but this is the wrong thing! It will force QuickCheck to shrinkx,landrin tandem, and shrinking will stop once one of the three is fully shrunk.
There is a fair bit of boilerplate in the code above.
We can avoid it with the help of some generic functions.
The function genericShrink tries shrinking a term to all of its
subterms and, failing that, recursively shrinks the subterms.
Using it, we can define shrink as:
shrink x = shrinkToNil x ++ genericShrink x
where
shrinkToNil Nil = []
shrinkToNil (Branch _ l r) = [Nil]genericShrink is a combination of subterms, which shrinks
a term to any of its subterms, and recursivelyShrink, which shrinks
all subterms of a term. These may be useful if you need a bit more
control over shrinking than genericShrink gives you.
A final gotcha: we cannot define shrink as simply shrink x = Nil:genericShrink xNil to Nil, and shrinking will go into an
infinite loop.
If all this leaves you bewildered, you might try shrink = genericShrinkGeneric for your type. However, if your data type has any
special invariants, you will need to check that genericShrink can't break those invariants.
Instances
newtype PrintableString Source #
PrintableString: generates a printable unicode String.
The string will not contain surrogate pairs.
Constructors
| PrintableString | |
Fields | |
Instances
| Arbitrary PrintableString | |
Defined in Test.QuickCheck.Modifiers Methods arbitrary :: Gen PrintableString Source # shrink :: PrintableString -> [PrintableString] Source # | |
| Read PrintableString | |
Defined in Test.QuickCheck.Modifiers | |
| Show PrintableString | |
Defined in Test.QuickCheck.Modifiers | |
| Eq PrintableString | |
Defined in Test.QuickCheck.Modifiers Methods (==) :: PrintableString -> PrintableString -> Bool Source # (/=) :: PrintableString -> PrintableString -> Bool Source # | |
| Ord PrintableString | |
Defined in Test.QuickCheck.Modifiers Methods compare :: PrintableString -> PrintableString -> Ordering Source # (<) :: PrintableString -> PrintableString -> Bool Source # (<=) :: PrintableString -> PrintableString -> Bool Source # (>) :: PrintableString -> PrintableString -> Bool Source # (>=) :: PrintableString -> PrintableString -> Bool Source # max :: PrintableString -> PrintableString -> PrintableString Source # min :: PrintableString -> PrintableString -> PrintableString Source # | |
newtype UnicodeString Source #
UnicodeString: generates a unicode String.
The string will not contain surrogate pairs.
Constructors
| UnicodeString | |
Fields | |
Instances
| Arbitrary UnicodeString | |
Defined in Test.QuickCheck.Modifiers | |
| Read UnicodeString | |
Defined in Test.QuickCheck.Modifiers | |
| Show UnicodeString | |
Defined in Test.QuickCheck.Modifiers | |
| Eq UnicodeString | |
Defined in Test.QuickCheck.Modifiers Methods (==) :: UnicodeString -> UnicodeString -> Bool Source # (/=) :: UnicodeString -> UnicodeString -> Bool Source # | |
| Ord UnicodeString | |
Defined in Test.QuickCheck.Modifiers Methods compare :: UnicodeString -> UnicodeString -> Ordering Source # (<) :: UnicodeString -> UnicodeString -> Bool Source # (<=) :: UnicodeString -> UnicodeString -> Bool Source # (>) :: UnicodeString -> UnicodeString -> Bool Source # (>=) :: UnicodeString -> UnicodeString -> Bool Source # max :: UnicodeString -> UnicodeString -> UnicodeString Source # min :: UnicodeString -> UnicodeString -> UnicodeString Source # | |
newtype ASCIIString Source #
ASCIIString: generates an ASCII string.
Constructors
| ASCIIString | |
Fields | |
Instances
| Arbitrary ASCIIString | |
Defined in Test.QuickCheck.Modifiers | |
| Read ASCIIString | |
Defined in Test.QuickCheck.Modifiers | |
| Show ASCIIString | |
Defined in Test.QuickCheck.Modifiers | |
| Eq ASCIIString | |
Defined in Test.QuickCheck.Modifiers Methods (==) :: ASCIIString -> ASCIIString -> Bool Source # (/=) :: ASCIIString -> ASCIIString -> Bool Source # | |
| Ord ASCIIString | |
Defined in Test.QuickCheck.Modifiers Methods compare :: ASCIIString -> ASCIIString -> Ordering Source # (<) :: ASCIIString -> ASCIIString -> Bool Source # (<=) :: ASCIIString -> ASCIIString -> Bool Source # (>) :: ASCIIString -> ASCIIString -> Bool Source # (>=) :: ASCIIString -> ASCIIString -> Bool Source # max :: ASCIIString -> ASCIIString -> ASCIIString Source # min :: ASCIIString -> ASCIIString -> ASCIIString Source # | |
class ShrinkState s a where Source #
Shrinking _ x: allows for maintaining a state during shrinking.
Constructors
| Shrinking s a |
Smart _ x: tries a different order when shrinking.
Shrink2 x: allows 2 shrinking steps at the same time when shrinking x
Constructors
| Shrink2 | |
Fields
| |
Instances
Small x: generates values of x drawn from a small range.
The opposite of Large.
Instances
Large x: by default, QuickCheck generates Ints drawn from a small
range. Large Int gives you values drawn from the entire range instead.
Instances
newtype NonPositive a Source #
NonPositive x: guarantees that x <= 0.
Constructors
| NonPositive | |
Fields
| |
Instances
newtype NonNegative a Source #
NonNegative x: guarantees that x >= 0.
Constructors
| NonNegative | |
Fields
| |
Instances
NonZero x: guarantees that x /= 0.
Constructors
| NonZero | |
Fields
| |
Instances
| Functor NonZero | |
| (Num a, Eq a, Arbitrary a) => Arbitrary (NonZero a) | |
| Enum a => Enum (NonZero a) | |
Defined in Test.QuickCheck.Modifiers Methods succ :: NonZero a -> NonZero a Source # pred :: NonZero a -> NonZero a Source # toEnum :: Int -> NonZero a Source # fromEnum :: NonZero a -> Int Source # enumFrom :: NonZero a -> [NonZero a] Source # enumFromThen :: NonZero a -> NonZero a -> [NonZero a] Source # enumFromTo :: NonZero a -> NonZero a -> [NonZero a] Source # enumFromThenTo :: NonZero a -> NonZero a -> NonZero a -> [NonZero a] Source # | |
| Read a => Read (NonZero a) | |
| Show a => Show (NonZero a) | |
| Eq a => Eq (NonZero a) | |
| Ord a => Ord (NonZero a) | |
Defined in Test.QuickCheck.Modifiers | |
Negative x: guarantees that x < 0.
Constructors
| Negative | |
Fields
| |
Instances
| Functor Negative | |
| (Num a, Ord a, Arbitrary a) => Arbitrary (Negative a) | |
| Enum a => Enum (Negative a) | |
Defined in Test.QuickCheck.Modifiers Methods succ :: Negative a -> Negative a Source # pred :: Negative a -> Negative a Source # toEnum :: Int -> Negative a Source # fromEnum :: Negative a -> Int Source # enumFrom :: Negative a -> [Negative a] Source # enumFromThen :: Negative a -> Negative a -> [Negative a] Source # enumFromTo :: Negative a -> Negative a -> [Negative a] Source # enumFromThenTo :: Negative a -> Negative a -> Negative a -> [Negative a] Source # | |
| Read a => Read (Negative a) | |
| Show a => Show (Negative a) | |
| Eq a => Eq (Negative a) | |
| Ord a => Ord (Negative a) | |
Defined in Test.QuickCheck.Modifiers Methods compare :: Negative a -> Negative a -> Ordering Source # (<) :: Negative a -> Negative a -> Bool Source # (<=) :: Negative a -> Negative a -> Bool Source # (>) :: Negative a -> Negative a -> Bool Source # (>=) :: Negative a -> Negative a -> Bool Source # | |
Positive x: guarantees that x > 0.
Constructors
| Positive | |
Fields
| |
Instances
| Functor Positive | |
| (Num a, Ord a, Arbitrary a) => Arbitrary (Positive a) | |
| Enum a => Enum (Positive a) | |
Defined in Test.QuickCheck.Modifiers Methods succ :: Positive a -> Positive a Source # pred :: Positive a -> Positive a Source # toEnum :: Int -> Positive a Source # fromEnum :: Positive a -> Int Source # enumFrom :: Positive a -> [Positive a] Source # enumFromThen :: Positive a -> Positive a -> [Positive a] Source # enumFromTo :: Positive a -> Positive a -> [Positive a] Source # enumFromThenTo :: Positive a -> Positive a -> Positive a -> [Positive a] Source # | |
| Read a => Read (Positive a) | |
| Show a => Show (Positive a) | |
| Eq a => Eq (Positive a) | |
| Ord a => Ord (Positive a) | |
Defined in Test.QuickCheck.Modifiers Methods compare :: Positive a -> Positive a -> Ordering Source # (<) :: Positive a -> Positive a -> Bool Source # (<=) :: Positive a -> Positive a -> Bool Source # (>) :: Positive a -> Positive a -> Bool Source # (>=) :: Positive a -> Positive a -> Bool Source # | |
newtype SortedList a Source #
Sorted xs: guarantees that xs is sorted.
Instances
data InfiniteList a Source #
InfiniteList xs _: guarantees that xs is an infinite list.
When a counterexample is found, only prints the prefix of xs
that was used by the program.
Here is a contrived example property:
prop_take_10 :: InfiniteList Char -> Bool prop_take_10 (InfiniteList xs _) = or [ x == 'a' | x <- take 10 xs ]
In the following counterexample, the list must start with "bbbbbbbbbb" but
the remaining (infinite) part can contain anything:
>>>quickCheck prop_take_10*** Failed! Falsified (after 1 test and 14 shrinks): "bbbbbbbbbb" ++ ...
Constructors
| InfiniteList | |
Fields
| |
Instances
| Arbitrary a => Arbitrary (InfiniteList a) | |
Defined in Test.QuickCheck.Modifiers Methods arbitrary :: Gen (InfiniteList a) Source # shrink :: InfiniteList a -> [InfiniteList a] Source # | |
| Show a => Show (InfiniteList a) | |
Defined in Test.QuickCheck.Modifiers | |
newtype NonEmptyList a Source #
NonEmpty xs: guarantees that xs is non-empty.
Constructors
| NonEmpty | |
Fields
| |
Instances
newtype OrderedList a Source #
Ordered xs: guarantees that xs is ordered.
Constructors
| Ordered | |
Fields
| |
Instances
Fixed x: as x, but will not be shrunk.
Instances
Blind x: as x, but x does not have to be in the Show class.
Instances
class Function a where Source #
The class Function a is used for random generation of showable
functions of type a -> b.
There is a default implementation for function, which you can use
if your type has structural equality. Otherwise, you can normally
use functionMap or functionShow.
Minimal complete definition
Nothing
Instances
data Confidence Source #
The statistical parameters used by checkCoverage.
Constructors
| Confidence | |
Fields
| |
Instances
| Show Confidence | |
Defined in Test.QuickCheck.State | |
If a property returns Discard, the current test case is discarded,
the same as if a precondition was false.
An example is the definition of ==>:
(==>) :: Testable prop => Bool -> prop -> Property False ==> _ = property Discard True ==> p = property p
Constructors
| Discard |
class Testable prop where Source #
The class of properties, i.e., types which QuickCheck knows how to test.
Typically a property will be a function returning Bool or Property.
If a property does no quantification, i.e. has no
parameters and doesn't use forAll, it will only be tested once.
This may not be what you want if your property is an IO Bool.
You can change this behaviour using the again combinator.
Minimal complete definition
Methods
property :: prop -> Property Source #
Convert the thing to a property.
propertyForAllShrinkShow :: Gen a -> (a -> [a]) -> (a -> [String]) -> (a -> prop) -> Property Source #
Optional; used internally in order to improve shrinking.
Tests a property but also quantifies over an extra value
(with a custom shrink and show function).
The Testable instance for functions defines
propertyForAllShrinkShow in a way that improves shrinking.
The type of properties.
pattern Fn3 :: (a -> b -> c -> d) -> Fun (a, b, c) d Source #
A modifier for testing ternary functions.
pattern Fn2 :: (a -> b -> c) -> Fun (a, b) c Source #
A modifier for testing binary functions.
prop_zipWith :: Fun (Int, Bool) Char -> [Int] -> [Bool] -> Bool prop_zipWith (Fn2 f) xs ys = zipWith f xs ys == [ f x y | (x, y) <- zip xs ys]
pattern Fn :: (a -> b) -> Fun a b Source #
A modifier for testing functions.
prop :: Fun String Integer -> Bool
prop (Fn f) = f "banana" == f "monkey"
|| f "banana" == f "elephant"failingTestCase :: Result -> [String] Source #
The test case which provoked the failure
theException :: Result -> Maybe AnException Source #
The exception the property threw, if any
numShrinkFinal :: Result -> Int Source #
Number of unsuccessful shrinking steps performed since last successful shrink
numShrinkTries :: Result -> Int Source #
Number of unsuccessful shrinking steps performed
numShrinks :: Result -> Int Source #
Number of successful shrinking steps performed
classes :: Result -> Map String Int Source #
The number of test cases having each class (see classify)
labels :: Result -> Map [String] Int Source #
The number of test cases having each combination of labels (see label)
numDiscarded :: Result -> Int Source #
Number of tests skipped
pattern NoExpectedFailure :: Int -> Int -> !(Map [String] Int) -> !(Map String Int) -> !(Map String (Map String Int)) -> String -> Result Source #
A property that should have failed did not
pattern Failure :: Int -> Int -> Int -> Int -> Int -> QCGen -> Int -> String -> Maybe AnException -> String -> [String] -> [String] -> Set String -> Result Source #
A failed test run
pattern Success :: Int -> Int -> !(Map [String] Int) -> !(Map String Int) -> !(Map String (Map String Int)) -> String -> Result Source #
A successful test run
pattern GaveUp :: Int -> Int -> !(Map [String] Int) -> !(Map String Int) -> !(Map String (Map String Int)) -> String -> Result Source #
Given up
(==>) :: Testable prop => Bool -> prop -> Property infixr 0 Source #
Implication for properties: The resulting property holds if
the first argument is False (in which case the test case is discarded),
or if the given property holds. Note that using implication carelessly can
severely skew test case distribution: consider using cover to make sure
that your test data is still good quality.
sized :: (Int -> Gen a) -> Gen a Source #
Used to construct generators that depend on the size parameter.
For example, listOf, which uses the size parameter as an upper bound on
length of lists it generates, can be defined like this:
listOf :: Gen a -> Gen [a]
listOf gen = sized $ \n ->
do k <- choose (0,n)
vectorOf k genYou can also do this using getSize.
Returns the size parameter. Used to construct generators that depend on the size parameter.
For example, listOf, which uses the size parameter as an upper bound on
length of lists it generates, can be defined like this:
listOf :: Gen a -> Gen [a] listOf gen = do n <- getSize k <- choose (0,n) vectorOf k gen
You can also do this using sized.
resize :: Int -> Gen a -> Gen a Source #
Overrides the size parameter. Returns a generator which uses the given size instead of the runtime-size parameter.
scale :: (Int -> Int) -> Gen a -> Gen a Source #
Adjust the size parameter, by transforming it with the given function.
choose :: Random a => (a, a) -> Gen a Source #
Generates a random element in the given inclusive range.
For integral and enumerated types, the specialised variants of
choose below run much quicker.
chooseEnum :: Enum a => (a, a) -> Gen a Source #
A fast implementation of choose for enumerated types.
chooseBoundedIntegral :: (Bounded a, Integral a) => (a, a) -> Gen a Source #
A fast implementation of choose for bounded integral types.
generate :: Gen a -> IO a Source #
Run a generator. The size passed to the generator is always 30;
if you want another size then you should explicitly use resize.
suchThatMap :: Gen a -> (a -> Maybe b) -> Gen b Source #
Generates a value for which the given function returns a Just, and then
applies the function.
suchThatMaybe :: Gen a -> (a -> Bool) -> Gen (Maybe a) Source #
Tries to generate a value that satisfies a predicate.
If it fails to do so after enough attempts, returns Nothing.
oneof :: [Gen a] -> Gen a Source #
Randomly uses one of the given generators. The input list must be non-empty.
frequency :: [(Int, Gen a)] -> Gen a Source #
Chooses one of the given generators, with a weighted random distribution. The input list must be non-empty.
elements :: [a] -> Gen a Source #
Generates one of the given values. The input list must be non-empty.
growingElements :: [a] -> Gen a Source #
Takes a list of elements of increasing size, and chooses among an initial segment of the list. The size of this initial segment increases with the size parameter. The input list must be non-empty.
listOf :: Gen a -> Gen [a] Source #
Generates a list of random length. The maximum length depends on the size parameter.
listOf1 :: Gen a -> Gen [a] Source #
Generates a non-empty list of random length. The maximum length depends on the size parameter.
infiniteListOf :: Gen a -> Gen [a] Source #
Generates an infinite list.
arbitrary1 :: (Arbitrary1 f, Arbitrary a) => Gen (f a) Source #
shrink1 :: (Arbitrary1 f, Arbitrary a) => f a -> [f a] Source #
arbitrary2 :: (Arbitrary2 f, Arbitrary a, Arbitrary b) => Gen (f a b) Source #
genericShrink :: (Generic a, RecursivelyShrink (Rep a), GSubterms (Rep a) a) => a -> [a] Source #
Shrink a term to any of its immediate subterms, and also recursively shrink all subterms.
recursivelyShrink :: (Generic a, RecursivelyShrink (Rep a)) => a -> [a] Source #
Recursively shrink all immediate subterms.
shrinkList :: (a -> [a]) -> [a] -> [[a]] Source #
Shrink a list of values given a shrinking function for individual values.
applyArbitrary2 :: (Arbitrary a, Arbitrary b) => (a -> b -> r) -> Gen r Source #
Apply a binary function to random arguments.
applyArbitrary3 :: (Arbitrary a, Arbitrary b, Arbitrary c) => (a -> b -> c -> r) -> Gen r Source #
Apply a ternary function to random arguments.
applyArbitrary4 :: (Arbitrary a, Arbitrary b, Arbitrary c, Arbitrary d) => (a -> b -> c -> d -> r) -> Gen r Source #
Apply a function of arity 4 to random arguments.
arbitrarySizedIntegral :: Integral a => Gen a Source #
Generates an integral number. The number can be positive or negative and its maximum absolute value depends on the size parameter.
arbitrarySizedNatural :: Integral a => Gen a Source #
Generates a natural number. The number's maximum value depends on the size parameter.
arbitrarySizedFractional :: Fractional a => Gen a Source #
Uniformly generates a fractional number. The number can be positive or negative and its maximum absolute value depends on the size parameter.
arbitraryBoundedIntegral :: (Bounded a, Integral a) => Gen a Source #
Generates an integral number. The number is chosen uniformly from
the entire range of the type. You may want to use
arbitrarySizedBoundedIntegral instead.
arbitraryBoundedRandom :: (Bounded a, Random a) => Gen a Source #
Generates an element of a bounded type. The element is chosen from the entire range of the type.
arbitraryBoundedEnum :: (Bounded a, Enum a) => Gen a Source #
Generates an element of a bounded enumeration.
arbitrarySizedBoundedIntegral :: (Bounded a, Integral a) => Gen a Source #
Generates an integral number from a bounded domain. The number is chosen from the entire range of the type, but small numbers are generated more often than big numbers. Inspired by demands from Phil Wadler.
arbitraryUnicodeChar :: Gen Char Source #
Generates any Unicode character (but not a surrogate)
arbitraryASCIIChar :: Gen Char Source #
Generates a random ASCII character (0-127).
arbitraryPrintableChar :: Gen Char Source #
Generates a printable Unicode character.
shrinkNothing :: a -> [a] Source #
Returns no shrinking alternatives.
shrinkMap :: Arbitrary a => (a -> b) -> (b -> a) -> b -> [b] Source #
Map a shrink function to another domain. This is handy if your data type has special invariants, but is almost isomorphic to some other type.
shrinkOrderedList :: (Ord a, Arbitrary a) => [a] -> [[a]] shrinkOrderedList = shrinkMap sort id shrinkSet :: (Ord a, Arbitrary a) => Set a -> [Set a] shrinkSet = shrinkMap fromList toList
shrinkMapBy :: (a -> b) -> (b -> a) -> (a -> [a]) -> b -> [b] Source #
Non-overloaded version of shrinkMap.
shrinkIntegral :: Integral a => a -> [a] Source #
Shrink an integral number.
shrinkBoundedEnum :: (Bounded a, Enum a, Eq a) => a -> [a] Source #
Shrink an element of a bounded enumeration.
Example
data MyEnum = E0 | E1 | E2 | E3 | E4 | E5 | E6 | E7 | E8 | E9 deriving (Bounded, Enum, Eq, Ord, Show)
>>>shrinkBoundedEnum E9[E0,E5,E7,E8]
>>>shrinkBoundedEnum E5[E0,E3,E4]
>>>shrinkBoundedEnum E0[]
shrinkRealFrac :: RealFrac a => a -> [a] Source #
Shrink a fraction, preferring numbers with smaller
numerators or denominators. See also shrinkDecimal.
shrinkDecimal :: RealFrac a => a -> [a] Source #
Shrink a real number, preferring numbers with shorter
decimal representations. See also shrinkRealFrac.
genericCoarbitrary :: (Generic a, GCoArbitrary (Rep a)) => a -> Gen b -> Gen b Source #
Generic CoArbitrary implementation.
(><) :: (Gen a -> Gen a) -> (Gen a -> Gen a) -> Gen a -> Gen a Source #
Combine two generator perturbing functions, for example the
results of calls to variant or coarbitrary.
coarbitraryIntegral :: Integral a => a -> Gen b -> Gen b Source #
A coarbitrary implementation for integral numbers.
coarbitraryReal :: Real a => a -> Gen b -> Gen b Source #
A coarbitrary implementation for real numbers.
coarbitraryShow :: Show a => a -> Gen b -> Gen b Source #
coarbitrary helper for lazy people :-).
coarbitraryEnum :: Enum a => a -> Gen b -> Gen b Source #
A coarbitrary implementation for enums.
infiniteList :: Arbitrary a => Gen [a] Source #
Generates an infinite list.
functionRealFrac :: RealFrac a => (a -> b) -> a :-> b Source #
functionIntegral :: Integral a => (a -> b) -> a :-> b Source #
functionVoid :: (forall b. void -> b) -> void :-> c Source #
functionMap :: Function b => (a -> b) -> (b -> a) -> (a -> c) -> a :-> c Source #
applyFun :: Fun a b -> a -> b Source #
Extracts the value of a function.
Fn is the pattern equivalent of this function.
prop :: Fun String Integer -> Bool
prop f = applyFun f "banana" == applyFun f "monkey"
|| applyFun f "banana" == applyFun f "elephant"applyFun2 :: Fun (a, b) c -> a -> b -> c Source #
Extracts the value of a binary function.
Fn2 is the pattern equivalent of this function.
prop_zipWith :: Fun (Int, Bool) Char -> [Int] -> [Bool] -> Bool prop_zipWith f xs ys = zipWith (applyFun2 f) xs ys == [ applyFun2 f x y | (x, y) <- zip xs ys]
applyFun3 :: Fun (a, b, c) d -> a -> b -> c -> d Source #
Extracts the value of a ternary function. Fn3 is the
pattern equivalent of this function.
ioProperty :: Testable prop => IO prop -> Property Source #
Do I/O inside a property.
Warning: any random values generated inside of the argument to ioProperty
will not currently be shrunk. For best results, generate all random values
before calling ioProperty, or use idempotentIOProperty if that is safe.
Note: if your property does no quantification, it will only be tested once.
To test it repeatedly, use again.
idempotentIOProperty :: Testable prop => IO prop -> Property Source #
Do I/O inside a property.
Warning: during shrinking, the I/O may not always be re-executed.
Instead, the I/O may be executed once and then its result retained.
If this is not acceptable, use ioProperty instead.
mapSize :: Testable prop => (Int -> Int) -> prop -> Property Source #
Adjust the test case size for a property, by transforming it with the given function.
Arguments
| :: Testable prop | |
| => (a -> [a]) |
|
| -> a | The original argument |
| -> (a -> prop) | |
| -> Property |
Shrinks the argument to a property if it fails. Shrinking is done automatically for most types. This function is only needed when you want to override the default behavior.
noShrinking :: Testable prop => prop -> Property Source #
Disables shrinking for a property altogether.
Only quantification inside the call to noShrinking is affected.
counterexample :: Testable prop => String -> prop -> Property Source #
Adds the given string to the counterexample if the property fails.
printTestCase :: Testable prop => String -> prop -> Property Source #
Adds the given string to the counterexample if the property fails.
whenFail :: Testable prop => IO () -> prop -> Property Source #
Performs an IO action after the last failure of a property.
whenFail' :: Testable prop => IO () -> prop -> Property Source #
Performs an IO action every time a property fails. Thus,
if shrinking is done, this can be used to keep track of the
failures along the way.
verboseShrinking :: Testable prop => prop -> Property Source #
Prints out the generated test case every time the property fails, including during shrinking.
Only variables quantified over inside the verboseShrinking are printed.
Note: for technical reasons, the test case is printed out after
the property is tested. To debug a property that goes into an
infinite loop, use within to add a timeout instead.
expectFailure :: Testable prop => prop -> Property Source #
Indicates that a property is supposed to fail. QuickCheck will report an error if it does not fail.
once :: Testable prop => prop -> Property Source #
Modifies a property so that it only will be tested once.
Opposite of again.
again :: Testable prop => prop -> Property Source #
Modifies a property so that it will be tested repeatedly.
Opposite of once.
withMaxSuccess :: Testable prop => Int -> prop -> Property Source #
Configures how many times a property will be tested.
For example,
quickCheck (withMaxSuccess 1000 p)
will test p up to 1000 times.
checkCoverage :: Testable prop => prop -> Property Source #
Check that all coverage requirements defined by cover and coverTable
are met, using a statistically sound test, and fail if they are not met.
Ordinarily, a failed coverage check does not cause the property to fail.
This is because the coverage requirement is not tested in a statistically
sound way. If you use cover to express that a certain value must appear 20%
of the time, QuickCheck will warn you if the value only appears in 19 out of
100 test cases - but since the coverage varies randomly, you may have just
been unlucky, and there may not be any real problem with your test
generation.
When you use checkCoverage, QuickCheck uses a statistical test to account
for the role of luck in coverage failures. It will run as many tests as
needed until it is sure about whether the coverage requirements are met. If a
coverage requirement is not met, the property fails.
Example:
quickCheck (checkCoverage prop_foo)
checkCoverageWith :: Testable prop => Confidence -> prop -> Property Source #
Check coverage requirements using a custom confidence level.
See stdConfidence.
An example of making the statistical test less stringent in order to improve performance:
quickCheck (checkCoverageWith stdConfidence{certainty = 10^6} prop_foo)stdConfidence :: Confidence Source #
The standard parameters used by checkCoverage: certainty = 10^9,
tolerance = 0.9. See Confidence for the meaning of the parameters.
label :: Testable prop => String -> prop -> Property Source #
Attaches a label to a test case. This is used for reporting test case distribution.
For example:
prop_reverse_reverse :: [Int] -> Property
prop_reverse_reverse xs =
label ("length of input is " ++ show (length xs)) $
reverse (reverse xs) === xs>>>quickCheck prop_reverse_reverse+++ OK, passed 100 tests: 7% length of input is 7 6% length of input is 3 5% length of input is 4 4% length of input is 6 ...
Each use of label in your property results in a separate
table of test case distribution in the output. If this is
not what you want, use tabulate.
collect :: (Show a, Testable prop) => a -> prop -> Property Source #
Attaches a label to a test case. This is used for reporting test case distribution.
collect x = label (show x)
For example:
prop_reverse_reverse :: [Int] -> Property
prop_reverse_reverse xs =
collect (length xs) $
reverse (reverse xs) === xs>>>quickCheck prop_reverse_reverse+++ OK, passed 100 tests: 7% 7 6% 3 5% 4 4% 6 ...
Each use of collect in your property results in a separate
table of test case distribution in the output. If this is
not what you want, use tabulate.
Arguments
| :: Testable prop | |
| => Bool |
|
| -> String | Label. |
| -> prop | |
| -> Property |
Reports how many test cases satisfy a given condition.
For example:
prop_sorted_sort :: [Int] -> Property prop_sorted_sort xs = sorted xs ==> classify (length xs > 1) "non-trivial" $ sort xs === xs
>>>quickCheck prop_sorted_sort+++ OK, passed 100 tests (22% non-trivial).
Arguments
| :: Testable prop | |
| => Double | The required percentage (0-100) of test cases. |
| -> Bool |
|
| -> String | Label for the test case class. |
| -> prop | |
| -> Property |
Checks that at least the given proportion of successful test cases belong to the given class. Discarded tests (i.e. ones with a false precondition) do not affect coverage.
Note: If the coverage check fails, QuickCheck prints out a warning, but
the property does not fail. To make the property fail, use checkCoverage.
For example:
prop_sorted_sort :: [Int] -> Property prop_sorted_sort xs = sorted xs ==> cover 50 (length xs > 1) "non-trivial" $ sort xs === xs
>>>quickCheck prop_sorted_sort+++ OK, passed 100 tests; 135 discarded (26% non-trivial). Only 26% non-trivial, but expected 50%
tabulate :: Testable prop => String -> [String] -> prop -> Property Source #
Collects information about test case distribution into a table.
The arguments to tabulate are the table's name and a list of values
associated with the current test case. After testing, QuickCheck prints the
frequency of all collected values. The frequencies are expressed as a
percentage of the total number of values collected.
You should prefer tabulate to label when each test case is associated
with a varying number of values. Here is a (not terribly useful) example,
where the test data is a list of integers and we record all values that
occur in the list:
prop_sorted_sort :: [Int] -> Property prop_sorted_sort xs = sorted xs ==> tabulate "List elements" (map show xs) $ sort xs === xs
>>>quickCheck prop_sorted_sort+++ OK, passed 100 tests; 1684 discarded. List elements (109 in total): 3.7% 0 3.7% 17 3.7% 2 3.7% 6 2.8% -6 2.8% -7
Here is a more useful example. We are testing a chatroom, where the user can log in, log out, or send a message:
data Command = LogIn | LogOut | SendMessage String deriving (Data, Show) instance Arbitrary Command where ...
There are some restrictions on command sequences; for example, the user must
log in before doing anything else. The function valid :: [Command] -> Bool
checks that a command sequence is allowed. Our property then has the form:
prop_chatroom :: [Command] -> Property
prop_chatroom cmds =
valid cmds ==>
...The use of ==> may skew test case distribution. We use collect to see the
length of the command sequences, and tabulate to get the frequencies of the
individual commands:
prop_chatroom :: [Command] -> Property
prop_chatroom cmds =
wellFormed cmds LoggedOut ==>
'collect' (length cmds) $
'tabulate' "Commands" (map (show . 'Data.Data.toConstr') cmds) $
...>>>quickCheckWith stdArgs{maxDiscardRatio = 1000} prop_chatroom+++ OK, passed 100 tests; 2775 discarded: 60% 0 20% 1 15% 2 3% 3 1% 4 1% 5 Commands (68 in total): 62% LogIn 22% SendMessage 16% LogOut
coverTable :: Testable prop => String -> [(String, Double)] -> prop -> Property Source #
Checks that the values in a given table appear a certain proportion of
the time. A call to coverTable table [(x1, p1), ..., (xn, pn)] asserts
that of the values in table, x1 should appear at least p1 percent of
the time, x2 at least p2 percent of the time, and so on.
Note: If the coverage check fails, QuickCheck prints out a warning, but
the property does not fail. To make the property fail, use checkCoverage.
Continuing the example from the tabular combinator...
data Command = LogIn | LogOut | SendMessage String deriving (Data, Show)
prop_chatroom :: [Command] -> Property
prop_chatroom cmds =
wellFormed cmds LoggedOut ==>
'tabulate' "Commands" (map (show . 'Data.Data.toConstr') cmds) $
......we can add a coverage requirement as follows, which checks that LogIn,
LogOut and SendMessage each occur at least 25% of the time:
prop_chatroom :: [Command] -> Property
prop_chatroom cmds =
wellFormed cmds LoggedOut ==>
coverTable "Commands" [("LogIn", 25), ("LogOut", 25), ("SendMessage", 25)] $
'tabulate' "Commands" (map (show . 'Data.Data.toConstr') cmds) $
... property goes here ...>>>quickCheck prop_chatroom+++ OK, passed 100 tests; 2909 discarded: 56% 0 17% 1 10% 2 6% 3 5% 4 3% 5 3% 7 Commands (111 in total): 51.4% LogIn 30.6% SendMessage 18.0% LogOut Table 'Commands' had only 18.0% LogOut, but expected 25.0%
within :: Testable prop => Int -> prop -> Property Source #
Considers a property failed if it does not complete within the given number of microseconds.
Note: if the property times out, variables quantified inside the
within will not be printed. Therefore, you should use within
only in the body of your property.
Good: prop_foo a b c = within 1000000 ...
Bad: prop_foo = within 1000000 $ \a b c -> ...
Bad: prop_foo a b c = ...; main = quickCheck (within 1000000 prop_foo)
discardAfter :: Testable prop => Int -> prop -> Property Source #
Discards the test case if it does not complete within the given number of microseconds. This can be useful when testing algorithms that have pathological cases where they run extremely slowly.
forAll :: (Show a, Testable prop) => Gen a -> (a -> prop) -> Property Source #
Explicit universal quantification: uses an explicitly given test case generator.
forAllShow :: Testable prop => Gen a -> (a -> String) -> (a -> prop) -> Property Source #
Like forAll, but with an explicitly given show function.
forAllBlind :: Testable prop => Gen a -> (a -> prop) -> Property Source #
Like forAll, but without printing the generated value.
forAllShrink :: (Show a, Testable prop) => Gen a -> (a -> [a]) -> (a -> prop) -> Property Source #
Like forAll, but tries to shrink the argument for failing test cases.
forAllShrinkShow :: Testable prop => Gen a -> (a -> [a]) -> (a -> String) -> (a -> prop) -> Property Source #
Like forAllShrink, but with an explicitly given show function.
forAllShrinkBlind :: Testable prop => Gen a -> (a -> [a]) -> (a -> prop) -> Property Source #
Like forAllShrink, but without printing the generated value.
(.&.) :: (Testable prop1, Testable prop2) => prop1 -> prop2 -> Property infixr 1 Source #
Nondeterministic choice: p1 .&. p2 picks randomly one of
p1 and p2 to test. If you test the property 100 times it
makes 100 random choices.
(.&&.) :: (Testable prop1, Testable prop2) => prop1 -> prop2 -> Property infixr 1 Source #
Conjunction: p1 .&&. p2 passes if both p1 and p2 pass.
(.||.) :: (Testable prop1, Testable prop2) => prop1 -> prop2 -> Property infixr 1 Source #
Disjunction: p1 .||. p2 passes unless p1 and p2 simultaneously fail.
(===) :: (Eq a, Show a) => a -> a -> Property infix 4 Source #
Like ==, but prints a counterexample when it fails.
(=/=) :: (Eq a, Show a) => a -> a -> Property infix 4 Source #
Like /=, but prints a counterexample when it fails.
total :: NFData a => a -> Property Source #
Checks that a value is total, i.e., doesn't crash when evaluated.
polyQuickCheck :: Name -> ExpQ Source #
Test a polymorphic property, defaulting all type variables to Integer.
Invoke as $(, where polyQuickCheck 'prop)prop is a property.
Note that just evaluating quickCheck prop()!
$( means the same as
polyQuickCheck 'prop)quickCheck $(monomorphic 'prop)polyQuickCheck,
you will have to combine quickCheckWith and monomorphic yourself.
If you want to use polyQuickCheck in the same file where you defined the
property, the same scoping problems pop up as in quickCheckAll:
see the note there about return [].
polyVerboseCheck :: Name -> ExpQ Source #
Test a polymorphic property, defaulting all type variables to Integer.
This is just a convenience function that combines verboseCheck and monomorphic.
If you want to use polyVerboseCheck in the same file where you defined the
property, the same scoping problems pop up as in quickCheckAll:
see the note there about return [].
monomorphic :: Name -> ExpQ Source #
Monomorphise an arbitrary property by defaulting all type variables to Integer.
For example, if f has type Ord a => [a] -> [a]$( has type monomorphic 'f)[.Integer] -> [Integer]
If you want to use monomorphic in the same file where you defined the
property, the same scoping problems pop up as in quickCheckAll:
see the note there about return [].
labelledExamples :: Testable prop => prop -> IO () Source #
Given a property, which must use label, collect, classify or cover
to associate labels with test cases, find an example test case for each possible label.
The example test cases are minimised using shrinking.
For example, suppose we test delete x xsx occurs in xs:
prop_delete :: Int -> [Int] -> Property prop_delete x xs = classify (count x xs == 0) "count x xs == 0" $ classify (count x xs == 1) "count x xs == 1" $ classify (count x xs >= 2) "count x xs >= 2" $ counterexample (show (delete x xs)) $ count x (delete x xs) == max 0 (count x xs-1) where count x xs = length (filter (== x) xs)
labelledExamples generates three example test cases, one for each label:
>>>labelledExamples prop_delete*** Found example of count x xs == 0 0 [] [] *** Found example of count x xs == 1 0 [0] [] *** Found example of count x xs >= 2 5 [5,5] [5] +++ OK, passed 100 tests: 78% count x xs == 0 21% count x xs == 1 1% count x xs >= 2
labelledExamplesWith :: Testable prop => Args -> prop -> IO () Source #
A variant of labelledExamples that takes test arguments.
labelledExamplesResult :: Testable prop => prop -> IO Result Source #
A variant of labelledExamples that returns a result.
labelledExamplesWithResult :: Testable prop => Args -> prop -> IO Result Source #
A variant of labelledExamples that takes test arguments and returns a result.
Internal
If you are building a test suite, you don't need these functions.
They may be used by other tasty add-on packages (such as tasty-hspec).