Portability | portable |
---|---|
Stability | experimental |
Additional monadic random functions, based on MonadRandom
.
- shuffle :: MonadRandom m => [a] -> m [a]
- shuffleSeq :: MonadRandom m => Seq a -> m [a]
- sample :: MonadRandom m => Int -> [a] -> m [a]
- sampleSeq :: MonadRandom m => Int -> Seq a -> m [a]
- choiceExtract :: MonadRandom m => [a] -> m (Maybe ([a], a))
- choiceExtractSeq :: MonadRandom m => Seq a -> m (Maybe (Seq a, a))
- choice :: MonadRandom m => [a] -> m a
- safeChoice :: MonadRandom m => [a] -> Maybe (m a)
- iterativeChoice :: MonadRandom m => [a] -> m a
- choiceSeq :: MonadRandom m => Seq a -> m a
- safeChoiceSeq :: MonadRandom m => Seq a -> Maybe (m a)
- choiceArray :: (MonadRandom m, IArray arr a, Ix i, Random i) => arr i a -> m a
- choices :: MonadRandom m => [a] -> m [a]
- safeChoices :: MonadRandom m => [a] -> Maybe (m [a])
- choicesArray :: (MonadRandom m, IArray arr a, Ix i, Random i) => arr i a -> m [a]
Random functions
Shuffling
shuffle :: MonadRandom m => [a] -> m [a]Source
Shuffle a list randomly. The method is based on Oleg Kiselyov's perfect shuffle http://okmij.org/ftp/Haskell/perfect-shuffle.txt, but much simpler because it uses existing data structures. The efficiency of both methods should be comparable.
Complexity: O(n * log n), where n is the length of the input list.
shuffleSeq :: MonadRandom m => Seq a -> m [a]Source
Shuffle a sequence randomly. This is being used by shuffle
,
so it logically uses the same method.
Complexity: O(n * log n), where n is the length of the input sequence.
Sampling
sample :: MonadRandom m => Int -> [a] -> m [a]Source
Take a random sample from a list.
Complexity: O(n + m * log n), where n is the length of the input list and m is the sample size.
sampleSeq :: MonadRandom m => Int -> Seq a -> m [a]Source
Take a random sample from a sequence.
Complexity: O(m * log n), where n is the length of the input sequence and m is the sample size.
Choice
choiceExtract :: MonadRandom m => [a] -> m (Maybe ([a], a))Source
Randomly choose and extract an element from a list.
Complexity: O(n), where n is the length of the input list.
choiceExtractSeq :: MonadRandom m => Seq a -> m (Maybe (Seq a, a))Source
Randomly choose and extract an element from a sequence.
Complexity: O(log n), where n is the length of the input sequence.
choice :: MonadRandom m => [a] -> m aSource
Select a random element from a list.
Partial function: This function is only defined on non-empty lists.
Complexity: O(n), where n is the length of the input list.
safeChoice :: MonadRandom m => [a] -> Maybe (m a)Source
Safely select a random element from a list.
Complexity: O(n), where n is the length of the input list.
iterativeChoice :: MonadRandom m => [a] -> m aSource
Select a random element from a list, traversing the list only once.
Partial function: This function is only defined on non-empty lists
with a length below (maxBound
+ 1 :: Int).
Complexity: O(n), where n is the length of the input list.
choiceSeq :: MonadRandom m => Seq a -> m aSource
Select a random element from a sequence.
Partial function: This function is only defined on non-empty sequences.
Complexity: O(log n), where n is the length of the input sequence.
safeChoiceSeq :: MonadRandom m => Seq a -> Maybe (m a)Source
Safely select a random element from a sequence.
Complexity: O(log n), where n is the length of the input sequence.
choiceArray :: (MonadRandom m, IArray arr a, Ix i, Random i) => arr i a -> m aSource
Select a random element from an array.
Complexity: O(1).
Choices
choices :: MonadRandom m => [a] -> m [a]Source
A stream of random elements from a list.
Partial function: This function is only defined on non-empty lists.
Complexity: O(n) base and O(1) per element.
safeChoices :: MonadRandom m => [a] -> Maybe (m [a])Source
Safely get a stream of random elements from a list.
Complexity: O(n) base and O(1) per element, where n is the length of the input list.
choicesArray :: (MonadRandom m, IArray arr a, Ix i, Random i) => arr i a -> m [a]Source
A stream of random elements from an array.
Complexity: O(1) per element.