Z-Data-0.1.6.0: Array, vector and text

Copyright(c) Dong Han 2017-2019
(c) Tao He 2018-2019
LicenseBSD
Maintainerwinterland1989@gmail.com
Stabilityexperimental
Portabilitynon-portable
Safe HaskellNone
LanguageHaskell2010

Z.Data.Vector.FlatMap

Contents

Description

This module provides a simple key value map based on sorted vector and binary search. It's particularly suitable for small sized key value collections such as deserializing intermediate representation. But can also used in various place where insertion and deletion is rare but require fast lookup.

Synopsis

FlatMap backed by sorted vector

data FlatMap k v Source #

Instances
Functor (FlatMap k) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

fmap :: (a -> b) -> FlatMap k a -> FlatMap k b #

(<$) :: a -> FlatMap k b -> FlatMap k a #

Foldable (FlatMap k) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

fold :: Monoid m => FlatMap k m -> m #

foldMap :: Monoid m => (a -> m) -> FlatMap k a -> m #

foldr :: (a -> b -> b) -> b -> FlatMap k a -> b #

foldr' :: (a -> b -> b) -> b -> FlatMap k a -> b #

foldl :: (b -> a -> b) -> b -> FlatMap k a -> b #

foldl' :: (b -> a -> b) -> b -> FlatMap k a -> b #

foldr1 :: (a -> a -> a) -> FlatMap k a -> a #

foldl1 :: (a -> a -> a) -> FlatMap k a -> a #

toList :: FlatMap k a -> [a] #

null :: FlatMap k a -> Bool #

length :: FlatMap k a -> Int #

elem :: Eq a => a -> FlatMap k a -> Bool #

maximum :: Ord a => FlatMap k a -> a #

minimum :: Ord a => FlatMap k a -> a #

sum :: Num a => FlatMap k a -> a #

product :: Num a => FlatMap k a -> a #

Traversable (FlatMap k) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

traverse :: Applicative f => (a -> f b) -> FlatMap k a -> f (FlatMap k b) #

sequenceA :: Applicative f => FlatMap k (f a) -> f (FlatMap k a) #

mapM :: Monad m => (a -> m b) -> FlatMap k a -> m (FlatMap k b) #

sequence :: Monad m => FlatMap k (m a) -> m (FlatMap k a) #

(Eq k, Eq v) => Eq (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

(==) :: FlatMap k v -> FlatMap k v -> Bool #

(/=) :: FlatMap k v -> FlatMap k v -> Bool #

(Ord k, Ord v) => Ord (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

compare :: FlatMap k v -> FlatMap k v -> Ordering #

(<) :: FlatMap k v -> FlatMap k v -> Bool #

(<=) :: FlatMap k v -> FlatMap k v -> Bool #

(>) :: FlatMap k v -> FlatMap k v -> Bool #

(>=) :: FlatMap k v -> FlatMap k v -> Bool #

max :: FlatMap k v -> FlatMap k v -> FlatMap k v #

min :: FlatMap k v -> FlatMap k v -> FlatMap k v #

(Show k, Show v) => Show (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

showsPrec :: Int -> FlatMap k v -> ShowS #

show :: FlatMap k v -> String #

showList :: [FlatMap k v] -> ShowS #

Ord k => Semigroup (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

(<>) :: FlatMap k v -> FlatMap k v -> FlatMap k v #

sconcat :: NonEmpty (FlatMap k v) -> FlatMap k v #

stimes :: Integral b => b -> FlatMap k v -> FlatMap k v #

Ord k => Monoid (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

mempty :: FlatMap k v #

mappend :: FlatMap k v -> FlatMap k v -> FlatMap k v #

mconcat :: [FlatMap k v] -> FlatMap k v #

(Ord k, Arbitrary k, Arbitrary v) => Arbitrary (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

arbitrary :: Gen (FlatMap k v) #

shrink :: FlatMap k v -> [FlatMap k v] #

(CoArbitrary k, CoArbitrary v) => CoArbitrary (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

coarbitrary :: FlatMap k v -> Gen b -> Gen b #

(NFData k, NFData v) => NFData (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

rnf :: FlatMap k v -> () #

(ShowT k, ShowT v) => ShowT (FlatMap k v) Source # 
Instance details

Defined in Z.Data.Vector.FlatMap

Methods

toTextBuilder :: Int -> FlatMap k v -> TextBuilder () Source #

FromValue a => FromValue (FlatMap Text a) Source #

default instance prefer later key

Instance details

Defined in Z.Data.JSON.Base

EncodeJSON a => EncodeJSON (FlatMap Text a) Source # 
Instance details

Defined in Z.Data.JSON.Base

ToValue a => ToValue (FlatMap Text a) Source # 
Instance details

Defined in Z.Data.JSON.Base

Methods

toValue :: FlatMap Text a -> Value Source #

size :: FlatMap k v -> Int Source #

empty :: FlatMap k v Source #

O(1) empty flat map.

map' :: (v -> v') -> FlatMap k v -> FlatMap k v' Source #

kmap' :: (k -> v -> v') -> FlatMap k v -> FlatMap k v' Source #

pack :: Ord k => [(k, v)] -> FlatMap k v Source #

O(N*logN) Pack list of key values, on key duplication prefer left one.

packN :: Ord k => Int -> [(k, v)] -> FlatMap k v Source #

O(N*logN) Pack list of key values with suggested size, on key duplication prefer left one.

packR :: Ord k => [(k, v)] -> FlatMap k v Source #

O(N*logN) Pack list of key values, on key duplication prefer right one.

packRN :: Ord k => Int -> [(k, v)] -> FlatMap k v Source #

O(N*logN) Pack list of key values with suggested size, on key duplication prefer right one.

unpack :: FlatMap k v -> [(k, v)] Source #

O(N) Unpack key value pairs to a list sorted by keys in ascending order.

This function works with foldr/build fusion in base.

unpackR :: FlatMap k v -> [(k, v)] Source #

O(N) Unpack key value pairs to a list sorted by keys in descending order.

This function works with foldr/build fusion in base.

packVector :: Ord k => Vector (k, v) -> FlatMap k v Source #

O(N*logN) Pack vector of key values, on key duplication prefer left one.

packVectorR :: Ord k => Vector (k, v) -> FlatMap k v Source #

O(N*logN) Pack vector of key values, on key duplication prefer right one.

lookup :: Ord k => k -> FlatMap k v -> Maybe v Source #

O(logN) Binary search on flat map.

delete :: Ord k => k -> FlatMap k v -> FlatMap k v Source #

O(N) Delete a key value pair by key.

insert :: Ord k => k -> v -> FlatMap k v -> FlatMap k v Source #

O(N) Insert new key value into map, replace old one if key exists.

adjust' :: Ord k => (v -> v) -> k -> FlatMap k v -> FlatMap k v Source #

O(N) Modify a value by key.

The value is evaluated to WHNF before writing into map.

merge :: forall k v. Ord k => FlatMap k v -> FlatMap k v -> FlatMap k v Source #

O(n+m) Merge two FlatMap, prefer right value on key duplication.

mergeWithKey' :: forall k v. Ord k => (k -> v -> v -> v) -> FlatMap k v -> FlatMap k v -> FlatMap k v Source #

O(n+m) Merge two FlatMap with a merge function.

fold and traverse

foldrWithKey :: (k -> v -> a -> a) -> a -> FlatMap k v -> a Source #

O(n) Reduce this map by applying a binary operator to all elements, using the given starting value (typically the right-identity of the operator).

During folding k is in descending order.

foldrWithKey' :: (k -> v -> a -> a) -> a -> FlatMap k v -> a Source #

O(n) Reduce this map by applying a binary operator to all elements, using the given starting value (typically the right-identity of the operator).

During folding k is in descending order.

foldlWithKey :: (a -> k -> v -> a) -> a -> FlatMap k v -> a Source #

O(n) Reduce this map by applying a binary operator to all elements, using the given starting value (typically the right-identity of the operator).

During folding k is in ascending order.

foldlWithKey' :: (a -> k -> v -> a) -> a -> FlatMap k v -> a Source #

O(n) Reduce this map by applying a binary operator to all elements, using the given starting value (typically the right-identity of the operator).

During folding k is in ascending order.

traverseWithKey :: Applicative t => (k -> a -> t b) -> FlatMap k a -> t (FlatMap k b) Source #

O(n). traverseWithKey f s == pack $ traverse ((k, v) -> (,) k $ f k v) (unpack m) That is, behaves exactly like a regular traverse except that the traversing function also has access to the key associated with a value.

binary & linear search on vectors

binarySearch :: Ord k => Vector (k, v) -> k -> Either Int Int Source #

Find the key's index in the vector slice, if key exists return Right, otherwise Left, i.e. the insert index

This function only works on ascending sorted vectors.

linearSearch :: Ord k => Vector (k, v) -> k -> Maybe v Source #

linear scan search from left to right, return the first one if exist.

linearSearchR :: Ord k => Vector (k, v) -> k -> Maybe v Source #

linear scan search from right to left, return the first one if exist.