# This file is a part of Julia. License is MIT: https://julialang.org/license function show(io::IO, t::AbstractDict{K,V}) where V where K recur_io = IOContext(io, :SHOWN_SET => t, :typeinfo => eltype(t)) limit = get(io, :limit, false)::Bool # show in a Julia-syntax-like form: Dict(k=>v, ...) print(io, typeinfo_prefix(io, t)[1]) print(io, '(') if !isempty(t) && !show_circular(io, t) first = true n = 0 for pair in t first || print(io, ", ") first = false show(recur_io, pair) n+=1 limit && n >= 10 && (print(io, "…"); break) end end print(io, ')') end # Dict # These can be changed, to trade off better performance for space const global maxallowedprobe = 16 const global maxprobeshift = 6 """ Dict([itr]) `Dict{K,V}()` constructs a hash table with keys of type `K` and values of type `V`. Keys are compared with [`isequal`](@ref) and hashed with [`hash`](@ref). Given a single iterable argument, constructs a [`Dict`](@ref) whose key-value pairs are taken from 2-tuples `(key,value)` generated by the argument. # Examples ```jldoctest julia> Dict([("A", 1), ("B", 2)]) Dict{String, Int64} with 2 entries: "B" => 2 "A" => 1 ``` Alternatively, a sequence of pair arguments may be passed. ```jldoctest julia> Dict("A"=>1, "B"=>2) Dict{String, Int64} with 2 entries: "B" => 2 "A" => 1 ``` !!! warning Keys are allowed to be mutable, but if you do mutate stored keys, the hash table may become internally inconsistent, in which case the `Dict` will not work properly. [`IdDict`](@ref) can be an alternative if you need to mutate keys. """ mutable struct Dict{K,V} <: AbstractDict{K,V} # Metadata: empty => 0x00, removed => 0x7f, full => 0b1[7 most significant hash bits] slots::Memory{UInt8} keys::Memory{K} vals::Memory{V} ndel::Int count::Int age::UInt idxfloor::Int # an index <= the indices of all used slots maxprobe::Int function Dict{K,V}() where V where K n = 0 slots = Memory{UInt8}(undef,n) fill!(slots, 0x0) new(slots, Memory{K}(undef, n), Memory{V}(undef, n), 0, 0, 0, max(1, n), 0) end function Dict{K,V}(d::Dict{K,V}) where V where K new(copy(d.slots), copy(d.keys), copy(d.vals), d.ndel, d.count, d.age, d.idxfloor, d.maxprobe) end function Dict{K, V}(slots::Memory{UInt8}, keys::Memory{K}, vals::Memory{V}, ndel::Int, count::Int, age::UInt, idxfloor::Int, maxprobe::Int) where {K, V} new(slots, keys, vals, ndel, count, age, idxfloor, maxprobe) end end function Dict{K,V}(kv) where V where K h = Dict{K,V}() haslength(kv) && sizehint!(h, Int(length(kv))::Int) for (k,v) in kv h[k] = v end return h end Dict{K,V}(p::Pair) where {K,V} = setindex!(Dict{K,V}(), p.second, p.first) function Dict{K,V}(ps::Pair...) where V where K h = Dict{K,V}() sizehint!(h, length(ps)) for p in ps h[p.first] = p.second end return h end # Note the constructors of WeakKeyDict mirror these here, keep in sync. Dict() = Dict{Any,Any}() Dict(kv::Tuple{}) = Dict() copy(d::Dict) = Dict(d) const AnyDict = Dict{Any,Any} Dict(ps::Pair{K,V}...) where {K,V} = Dict{K,V}(ps) Dict(ps::Pair...) = Dict(ps) function Dict(kv) try dict_with_eltype((K, V) -> Dict{K, V}, kv, eltype(kv)) catch if !isiterable(typeof(kv)) || !all(x->isa(x,Union{Tuple,Pair}),kv) throw(ArgumentError("Dict(kv): kv needs to be an iterator of tuples or pairs")) else rethrow() end end end function grow_to!(dest::AbstractDict{K, V}, itr) where V where K y = iterate(itr) y === nothing && return dest ((k,v), st) = y dest2 = empty(dest, typeof(k), typeof(v)) dest2[k] = v grow_to!(dest2, itr, st) end # this is a special case due to (1) allowing both Pairs and Tuples as elements, # and (2) Pair being invariant. a bit annoying. function grow_to!(dest::AbstractDict{K,V}, itr, st) where V where K y = iterate(itr, st) while y !== nothing (k,v), st = y if isa(k,K) && isa(v,V) dest[k] = v else new = empty(dest, promote_typejoin(K,typeof(k)), promote_typejoin(V,typeof(v))) merge!(new, dest) new[k] = v return grow_to!(new, itr, st) end y = iterate(itr, st) end return dest end empty(a::AbstractDict, ::Type{K}, ::Type{V}) where {K, V} = Dict{K, V}() # Gets 7 most significant bits from the hash (hsh), first bit is 1 _shorthash7(hsh::UInt) = (hsh >> (8sizeof(UInt)-7))%UInt8 | 0x80 # hashindex (key, sz) - computes optimal position and shorthash7 # idx - optimal position in the hash table # sh::UInt8 - short hash (7 highest hash bits) function hashindex(key, sz) hsh = hash(key)::UInt idx = (((hsh % Int) & (sz-1)) + 1)::Int return idx, _shorthash7(hsh) end @propagate_inbounds isslotempty(h::Dict, i::Int) = h.slots[i] == 0x00 @propagate_inbounds isslotfilled(h::Dict, i::Int) = (h.slots[i] & 0x80) != 0 @propagate_inbounds isslotmissing(h::Dict, i::Int) = h.slots[i] == 0x7f @constprop :none function rehash!(h::Dict{K,V}, newsz = length(h.keys)) where V where K olds = h.slots oldk = h.keys oldv = h.vals sz = length(olds) newsz = _tablesz(newsz) h.age += 1 h.idxfloor = 1 if h.count == 0 # TODO: tryresize h.slots = Memory{UInt8}(undef, newsz) fill!(h.slots, 0x0) h.keys = Memory{K}(undef, newsz) h.vals = Memory{V}(undef, newsz) h.ndel = 0 h.maxprobe = 0 return h end slots = Memory{UInt8}(undef, newsz) fill!(slots, 0x0) keys = Memory{K}(undef, newsz) vals = Memory{V}(undef, newsz) age0 = h.age count = 0 maxprobe = 0 for i = 1:sz @inbounds if (olds[i] & 0x80) != 0 k = oldk[i] v = oldv[i] index, sh = hashindex(k, newsz) index0 = index while slots[index] != 0 index = (index & (newsz-1)) + 1 end probe = (index - index0) & (newsz-1) probe > maxprobe && (maxprobe = probe) slots[index] = olds[i] keys[index] = k vals[index] = v count += 1 end end @assert h.age == age0 "Multiple concurrent writes to Dict detected!" h.age += 1 h.slots = slots h.keys = keys h.vals = vals h.count = count h.ndel = 0 h.maxprobe = maxprobe return h end function sizehint!(d::Dict{T}, newsz; shrink::Bool=true) where T oldsz = length(d.slots) # limit new element count to max_values of the key type newsz = min(max(newsz, length(d)), max_values(T)::Int) # need at least 1.5n space to hold n elements newsz = _tablesz(cld(3 * newsz, 2)) return (shrink ? newsz == oldsz : newsz <= oldsz) ? d : rehash!(d, newsz) end """ empty!(collection) -> collection Remove all elements from a `collection`. # Examples ```jldoctest julia> A = Dict("a" => 1, "b" => 2) Dict{String, Int64} with 2 entries: "b" => 2 "a" => 1 julia> empty!(A); julia> A Dict{String, Int64}() ``` """ function empty!(h::Dict{K,V}) where V where K fill!(h.slots, 0x0) sz = length(h.slots) for i in 1:sz _unsetindex!(h.keys, i) _unsetindex!(h.vals, i) end h.ndel = 0 h.count = 0 h.maxprobe = 0 h.age += 1 h.idxfloor = max(1, sz) return h end # get the index where a key is stored, or -1 if not present function ht_keyindex(h::Dict{K,V}, key) where V where K isempty(h) && return -1 sz = length(h.keys) iter = 0 maxprobe = h.maxprobe maxprobe < sz || throw(AssertionError()) # This error will never trigger, but is needed for terminates_locally to be valid index, sh = hashindex(key, sz) keys = h.keys @assume_effects :terminates_locally :noub @inbounds while true isslotempty(h,index) && return -1 if sh == h.slots[index] k = keys[index] if (key === k || isequal(key, k)) return index end end index = (index & (sz-1)) + 1 (iter += 1) > maxprobe && return -1 end # This line is unreachable end # get (index, sh) for the key # index - where a key is stored, or -pos if not present # and the key would be inserted at pos # sh::UInt8 - short hash (7 highest hash bits) # This version is for use by setindex! and get! function ht_keyindex2_shorthash!(h::Dict{K,V}, key) where V where K sz = length(h.keys) if sz == 0 # if Dict was empty resize and then return location to insert rehash!(h, 4) index, sh = hashindex(key, length(h.keys)) return -index, sh end iter = 0 maxprobe = h.maxprobe index, sh = hashindex(key, sz) avail = 0 keys = h.keys @inbounds while true if isslotempty(h,index) return (avail < 0 ? avail : -index), sh end if isslotmissing(h,index) if avail == 0 # found an available slot, but need to keep scanning # in case "key" already exists in a later collided slot. avail = -index end elseif h.slots[index] == sh k = keys[index] if key === k || isequal(key, k) return index, sh end end index = (index & (sz-1)) + 1 iter += 1 iter > maxprobe && break end avail < 0 && return avail, sh maxallowed = max(maxallowedprobe, sz>>maxprobeshift) # Check if key is not present, may need to keep searching to find slot @inbounds while iter < maxallowed if !isslotfilled(h,index) h.maxprobe = iter return -index, sh end index = (index & (sz-1)) + 1 iter += 1 end rehash!(h, h.count > 64000 ? sz*2 : sz*4) return ht_keyindex2_shorthash!(h, key) end # Only for better backward compatibility. It can be removed in the future. ht_keyindex2!(h::Dict, key) = ht_keyindex2_shorthash!(h, key)[1] @propagate_inbounds function _setindex!(h::Dict, v, key, index, sh = _shorthash7(hash(key))) h.ndel -= isslotmissing(h, index) h.slots[index] = sh h.keys[index] = key h.vals[index] = v h.count += 1 h.age += 1 if index < h.idxfloor h.idxfloor = index end sz = length(h.keys) # Rehash now if necessary if (h.count + h.ndel)*3 > sz*2 # > 2/3 full (including tombstones) rehash!(h, h.count > 64000 ? h.count*2 : max(h.count*4, 4)) end nothing end function setindex!(h::Dict{K,V}, v0, key0) where V where K if key0 isa K key = key0 else key = convert(K, key0)::K if !(isequal(key, key0)::Bool) throw(KeyTypeError(K, key0)) end end setindex!(h, v0, key) end function setindex!(h::Dict{K,V}, v0, key::K) where V where K v = v0 isa V ? v0 : convert(V, v0)::V index, sh = ht_keyindex2_shorthash!(h, key) if index > 0 h.age += 1 @inbounds h.keys[index] = key @inbounds h.vals[index] = v else @inbounds _setindex!(h, v, key, -index, sh) end return h end function setindex!(h::Dict{K,Any}, v, key::K) where K @nospecialize v index, sh = ht_keyindex2_shorthash!(h, key) if index > 0 h.age += 1 @inbounds h.keys[index] = key @inbounds h.vals[index] = v else @inbounds _setindex!(h, v, key, -index, sh) end return h end """ get!(collection, key, default) Return the value stored for the given key, or if no mapping for the key is present, store `key => default`, and return `default`. # Examples ```jldoctest julia> d = Dict("a"=>1, "b"=>2, "c"=>3); julia> get!(d, "a", 5) 1 julia> get!(d, "d", 4) 4 julia> d Dict{String, Int64} with 4 entries: "c" => 3 "b" => 2 "a" => 1 "d" => 4 ``` """ get!(collection, key, default) """ get!(f::Union{Function, Type}, collection, key) Return the value stored for the given key, or if no mapping for the key is present, store `key => f()`, and return `f()`. This is intended to be called using `do` block syntax. # Examples ```jldoctest julia> squares = Dict{Int, Int}(); julia> function get_square!(d, i) get!(d, i) do i^2 end end get_square! (generic function with 1 method) julia> get_square!(squares, 2) 4 julia> squares Dict{Int64, Int64} with 1 entry: 2 => 4 ``` """ get!(f::Callable, collection, key) function get!(default::Callable, h::Dict{K,V}, key0) where V where K if key0 isa K key = key0 else key = convert(K, key0)::K if !isequal(key, key0) throw(KeyTypeError(K, key0)) end end return get!(default, h, key) end function get!(default::Callable, h::Dict{K,V}, key::K) where V where K index, sh = ht_keyindex2_shorthash!(h, key) index > 0 && return h.vals[index] age0 = h.age v = default() if !isa(v, V) v = convert(V, v)::V end if h.age != age0 index, sh = ht_keyindex2_shorthash!(h, key) end if index > 0 h.age += 1 @inbounds h.keys[index] = key @inbounds h.vals[index] = v else @inbounds _setindex!(h, v, key, -index, sh) end return v end function getindex(h::Dict{K,V}, key) where V where K index = ht_keyindex(h, key) return index < 0 ? throw(KeyError(key)) : @assume_effects :noub @inbounds h.vals[index]::V end """ get(collection, key, default) Return the value stored for the given key, or the given default value if no mapping for the key is present. !!! compat "Julia 1.7" For tuples and numbers, this function requires at least Julia 1.7. # Examples ```jldoctest julia> d = Dict("a"=>1, "b"=>2); julia> get(d, "a", 3) 1 julia> get(d, "c", 3) 3 ``` """ get(collection, key, default) function get(h::Dict{K,V}, key, default) where V where K index = ht_keyindex(h, key) @inbounds return (index < 0) ? default : h.vals[index]::V end """ get(f::Union{Function, Type}, collection, key) Return the value stored for the given key, or if no mapping for the key is present, return `f()`. Use [`get!`](@ref) to also store the default value in the dictionary. This is intended to be called using `do` block syntax ```julia get(dict, key) do # default value calculated here time() end ``` """ get(::Callable, collection, key) function get(default::Callable, h::Dict{K,V}, key) where V where K index = ht_keyindex(h, key) @inbounds return (index < 0) ? default() : h.vals[index]::V end """ haskey(collection, key) -> Bool Determine whether a collection has a mapping for a given `key`. # Examples ```jldoctest julia> D = Dict('a'=>2, 'b'=>3) Dict{Char, Int64} with 2 entries: 'a' => 2 'b' => 3 julia> haskey(D, 'a') true julia> haskey(D, 'c') false ``` """ haskey(h::Dict, key) = (ht_keyindex(h, key) >= 0) in(key, v::KeySet{<:Any, <:Dict}) = (ht_keyindex(v.dict, key) >= 0) """ getkey(collection, key, default) Return the key matching argument `key` if one exists in `collection`, otherwise return `default`. # Examples ```jldoctest julia> D = Dict('a'=>2, 'b'=>3) Dict{Char, Int64} with 2 entries: 'a' => 2 'b' => 3 julia> getkey(D, 'a', 1) 'a': ASCII/Unicode U+0061 (category Ll: Letter, lowercase) julia> getkey(D, 'd', 'a') 'a': ASCII/Unicode U+0061 (category Ll: Letter, lowercase) ``` """ function getkey(h::Dict{K,V}, key, default) where V where K index = ht_keyindex(h, key) @inbounds return (index<0) ? default : h.keys[index]::K end function _pop!(h::Dict, index) @inbounds val = h.vals[index] _delete!(h, index) return val end function pop!(h::Dict, key) index = ht_keyindex(h, key) return index > 0 ? _pop!(h, index) : throw(KeyError(key)) end """ pop!(collection, key[, default]) Delete and return the mapping for `key` if it exists in `collection`, otherwise return `default`, or throw an error if `default` is not specified. # Examples ```jldoctest julia> d = Dict("a"=>1, "b"=>2, "c"=>3); julia> pop!(d, "a") 1 julia> pop!(d, "d") ERROR: KeyError: key "d" not found Stacktrace: [...] julia> pop!(d, "e", 4) 4 ``` """ pop!(collection, key, default) function pop!(h::Dict, key, default) index = ht_keyindex(h, key) return index > 0 ? _pop!(h, index) : default end function pop!(h::Dict) isempty(h) && throw(ArgumentError("dict must be non-empty")) idx = skip_deleted_floor!(h) @inbounds key = h.keys[idx] @inbounds val = h.vals[idx] _delete!(h, idx) key => val end function _delete!(h::Dict{K,V}, index) where {K,V} @inbounds begin slots = h.slots sz = length(slots) _unsetindex!(h.keys, index) _unsetindex!(h.vals, index) # if the next slot is empty we don't need a tombstone # and can remove all tombstones that were required by the element we just deleted ndel = 1 nextind = (index & (sz-1)) + 1 if isslotempty(h, nextind) while true ndel -= 1 slots[index] = 0x00 index = ((index - 2) & (sz-1)) + 1 isslotmissing(h, index) || break end else slots[index] = 0x7f end h.ndel += ndel h.count -= 1 h.age += 1 return h end end """ delete!(collection, key) Delete the mapping for the given key in a collection, if any, and return the collection. # Examples ```jldoctest julia> d = Dict("a"=>1, "b"=>2) Dict{String, Int64} with 2 entries: "b" => 2 "a" => 1 julia> delete!(d, "b") Dict{String, Int64} with 1 entry: "a" => 1 julia> delete!(d, "b") # d is left unchanged Dict{String, Int64} with 1 entry: "a" => 1 ``` """ delete!(collection, key) function delete!(h::Dict, key) index = ht_keyindex(h, key) if index > 0 _delete!(h, index) end return h end function skip_deleted(h::Dict, i) L = length(h.slots) for i = i:L @inbounds if isslotfilled(h,i) return i end end return 0 end function skip_deleted_floor!(h::Dict) idx = skip_deleted(h, h.idxfloor) if idx != 0 h.idxfloor = idx end idx end @propagate_inbounds _iterate(t::Dict{K,V}, i) where {K,V} = i == 0 ? nothing : (Pair{K,V}(t.keys[i],t.vals[i]), i == typemax(Int) ? 0 : i+1) @propagate_inbounds function iterate(t::Dict) _iterate(t, skip_deleted(t, t.idxfloor)) end @propagate_inbounds iterate(t::Dict, i) = _iterate(t, skip_deleted(t, i)) isempty(t::Dict) = (t.count == 0) length(t::Dict) = t.count @propagate_inbounds Iterators.only(t::Dict) = Iterators._only(t, first) @propagate_inbounds function Base.iterate(v::T, i::Int = v.dict.idxfloor) where T <: Union{KeySet{<:Any, <:Dict}, ValueIterator{<:Dict}} i == 0 && return nothing i = skip_deleted(v.dict, i) i == 0 && return nothing vals = T <: KeySet ? v.dict.keys : v.dict.vals (@inbounds vals[i], i == typemax(Int) ? 0 : i+1) end function filter!(pred, h::Dict{K,V}) where {K,V} h.count == 0 && return h @inbounds for i=1:length(h.slots) if ((h.slots[i] & 0x80) != 0) && !pred(Pair{K,V}(h.keys[i], h.vals[i])) _delete!(h, i) end end return h end function reduce(::typeof(merge), items::Vector{<:Dict}) K = mapreduce(keytype, promote_type, items) V = mapreduce(valtype, promote_type, items) return reduce(merge!, items; init=Dict{K,V}()) end function map!(f, iter::ValueIterator{<:Dict}) dict = iter.dict vals = dict.vals # @inbounds is here so that it gets propagated to isslotfilled @inbounds for i = dict.idxfloor:lastindex(vals) if isslotfilled(dict, i) vals[i] = f(vals[i]) end end return iter end function mergewith!(combine, d1::Dict{K, V}, d2::AbstractDict) where {K, V} haslength(d2) && sizehint!(d1, length(d1) + length(d2), shrink=false) for (k, v) in d2 i, sh = ht_keyindex2_shorthash!(d1, k) if i > 0 d1.vals[i] = combine(d1.vals[i], v) else if !(k isa K) k1 = convert(K, k)::K if !isequal(k, k1) throw(KeyTypeError(K, k)) end k = k1 end if !isa(v, V) v = convert(V, v)::V end @inbounds _setindex!(d1, v, k, -i, sh) end end return d1 end struct ImmutableDict{K,V} <: AbstractDict{K,V} parent::ImmutableDict{K,V} key::K value::V ImmutableDict{K,V}() where {K,V} = new() # represents an empty dictionary ImmutableDict{K,V}(key, value) where {K,V} = (empty = new(); new(empty, key, value)) ImmutableDict{K,V}(parent::ImmutableDict, key, value) where {K,V} = new(parent, key, value) end """ ImmutableDict `ImmutableDict` is a dictionary implemented as an immutable linked list, which is optimal for small dictionaries that are constructed over many individual insertions. Note that it is not possible to remove a value, although it can be partially overridden and hidden by inserting a new value with the same key. ImmutableDict(KV::Pair) Create a new entry in the `ImmutableDict` for a `key => value` pair - use `(key => value) in dict` to see if this particular combination is in the properties set - use `get(dict, key, default)` to retrieve the most recent value for a particular key """ ImmutableDict ImmutableDict(KV::Pair{K,V}) where {K,V} = ImmutableDict{K,V}(KV[1], KV[2]) ImmutableDict(t::ImmutableDict{K,V}, KV::Pair) where {K,V} = ImmutableDict{K,V}(t, KV[1], KV[2]) ImmutableDict(t::ImmutableDict{K,V}, KV::Pair, rest::Pair...) where {K,V} = ImmutableDict(ImmutableDict(t, KV), rest...) ImmutableDict(KV::Pair, rest::Pair...) = ImmutableDict(ImmutableDict(KV), rest...) function in(key_value::Pair, dict::ImmutableDict, valcmp=(==)) key, value = key_value while isdefined(dict, :parent) if isequal(dict.key, key) valcmp(value, dict.value) && return true end dict = dict.parent end return false end function haskey(dict::ImmutableDict, key) while isdefined(dict, :parent) isequal(dict.key, key) && return true dict = dict.parent end return false end function getindex(dict::ImmutableDict, key) while isdefined(dict, :parent) isequal(dict.key, key) && return dict.value dict = dict.parent end throw(KeyError(key)) end function get(dict::ImmutableDict, key, default) while isdefined(dict, :parent) isequal(dict.key, key) && return dict.value dict = dict.parent end return default end function get(default::Callable, dict::ImmutableDict, key) while isdefined(dict, :parent) isequal(dict.key, key) && return dict.value dict = dict.parent end return default() end # this actually defines reverse iteration (e.g. it should not be used for merge/copy/filter type operations) function iterate(d::ImmutableDict{K,V}, t=d) where {K, V} !isdefined(t, :parent) && return nothing (Pair{K,V}(t.key, t.value), t.parent) end length(t::ImmutableDict) = count(Returns(true), t) isempty(t::ImmutableDict) = !isdefined(t, :parent) empty(::ImmutableDict, ::Type{K}, ::Type{V}) where {K, V} = ImmutableDict{K,V}() _similar_for(c::AbstractDict, ::Type{Pair{K,V}}, itr, isz, len) where {K, V} = empty(c, K, V) _similar_for(c::AbstractDict, ::Type{T}, itr, isz, len) where {T} = throw(ArgumentError("for AbstractDicts, similar requires an element type of Pair;\n if calling map, consider a comprehension instead")) include("hamt.jl") using .HashArrayMappedTries using Core.OptimizedGenerics: KeyValue const HAMT = HashArrayMappedTries struct PersistentDict{K,V} <: AbstractDict{K,V} trie::HAMT.HAMT{K,V} # Serves as a marker for an empty initialization @noinline function KeyValue.set(::Type{PersistentDict{K, V}}) where {K, V} new{K, V}(HAMT.HAMT{K,V}()) end @noinline function KeyValue.set(::Type{PersistentDict{K, V}}, ::Nothing, key, val) where {K, V} new{K, V}(HAMT.HAMT{K, V}(key => val)) end @noinline @Base.assume_effects :effect_free function KeyValue.set(dict::PersistentDict{K, V}, key, val) where {K, V} trie = dict.trie h = HAMT.HashState(key) found, present, trie, i, bi, top, hs = HAMT.path(trie, key, h, #=persistent=# true) HAMT.insert!(found, present, trie, i, bi, hs, val) return new{K, V}(top) end @noinline @Base.assume_effects :nothrow :effect_free function KeyValue.set(dict::PersistentDict{K, V}, key::K, val::V) where {K, V} trie = dict.trie h = HAMT.HashState(key) found, present, trie, i, bi, top, hs = HAMT.path(trie, key, h, #=persistent=# true) HAMT.insert!(found, present, trie, i, bi, hs, val) return new{K, V}(top) end @noinline @Base.assume_effects :effect_free function KeyValue.set(dict::PersistentDict{K, V}, key) where {K, V} trie = dict.trie h = HAMT.HashState(key) found, present, trie, i, bi, top, _ = HAMT.path(trie, key, h, #=persistent=# true) if found && present deleteat!(trie.data, i) HAMT.unset!(trie, bi) end return new{K, V}(top) end @noinline @Base.assume_effects :nothrow :effect_free function KeyValue.set(dict::PersistentDict{K, V}, key::K) where {K, V} trie = dict.trie h = HAMT.HashState(key) found, present, trie, i, bi, top, _ = HAMT.path(trie, key, h, #=persistent=# true) if found && present deleteat!(trie.data, i) HAMT.unset!(trie, bi) end return new{K, V}(top) end end """ PersistentDict `PersistentDict` is a dictionary implemented as an hash array mapped trie, which is optimal for situations where you need persistence, each operation returns a new dictionary separate from the previous one, but the underlying implementation is space-efficient and may share storage across multiple separate dictionaries. !!! note It behaves like an IdDict. ```julia PersistentDict(KV::Pair) ``` # Examples ```jldoctest julia> dict = Base.PersistentDict(:a=>1) Base.PersistentDict{Symbol, Int64} with 1 entry: :a => 1 julia> dict2 = Base.delete(dict, :a) Base.PersistentDict{Symbol, Int64}() julia> dict3 = Base.PersistentDict(dict, :a=>2) Base.PersistentDict{Symbol, Int64} with 1 entry: :a => 2 ``` """ PersistentDict PersistentDict{K,V}() where {K, V} = KeyValue.set(PersistentDict{K,V}) function PersistentDict{K,V}(KV::Pair) where {K,V} KeyValue.set( PersistentDict{K, V}, nothing, KV...) end function PersistentDict(KV::Pair{K,V}) where {K,V} KeyValue.set( PersistentDict{K, V}, nothing, KV...) end PersistentDict(dict::PersistentDict, pair::Pair) = PersistentDict(dict, pair...) PersistentDict{K,V}(dict::PersistentDict{K,V}, pair::Pair) where {K,V} = PersistentDict(dict, pair...) function PersistentDict(dict::PersistentDict{K,V}, key, val) where {K,V} key = convert(K, key) val = convert(V, val) return KeyValue.set(dict, key, val) end function PersistentDict{K,V}(KV::Pair, rest::Pair...) where {K,V} dict = PersistentDict{K,V}(KV) for (key, value) in rest dict = PersistentDict(dict, key, value) end return dict end function PersistentDict(kv::Pair, rest::Pair...) dict = PersistentDict(kv) for (key, value) in rest dict = PersistentDict(dict, key, value) end return dict end eltype(::PersistentDict{K,V}) where {K,V} = Pair{K,V} function in(key_val::Pair{K,V}, dict::PersistentDict{K,V}, valcmp=(==)) where {K,V} key, val = key_val found = KeyValue.get(dict, key) found === nothing && return false return valcmp(val, only(found)) end function haskey(dict::PersistentDict{K}, key::K) where K return KeyValue.get(dict, key) !== nothing end function getindex(dict::PersistentDict{K,V}, key::K) where {K,V} found = KeyValue.get(dict, key) found === nothing && throw(KeyError(key)) return only(found) end function get(dict::PersistentDict{K,V}, key::K, default) where {K,V} found = KeyValue.get(dict, key) found === nothing && return default return only(found) end @noinline function KeyValue.get(dict::PersistentDict{K, V}, key) where {K, V} trie = dict.trie if HAMT.islevel_empty(trie) return nothing end h = HAMT.HashState(key) found, present, trie, i, _, _, _ = HAMT.path(trie, key, h) if found && present leaf = @inbounds trie.data[i]::HAMT.Leaf{K,V} return (leaf.val,) end return nothing end @noinline function KeyValue.get(default, dict::PersistentDict, key) found = KeyValue.get(dict, key) found === nothing && return default() return only(found) end function get(default::Callable, dict::PersistentDict{K,V}, key::K) where {K,V} found = KeyValue.get(dict, key) found === nothing && return default() return only(found) end function delete(dict::PersistentDict{K}, key::K) where K return KeyValue.set(dict, key) end iterate(dict::PersistentDict, state=nothing) = HAMT.iterate(dict.trie, state) length(dict::PersistentDict) = HAMT.length(dict.trie) isempty(dict::PersistentDict) = HAMT.isempty(dict.trie) empty(::PersistentDict, ::Type{K}, ::Type{V}) where {K, V} = PersistentDict{K, V}() @propagate_inbounds Iterators.only(dict::PersistentDict) = Iterators._only(dict, first)