Class: Depq
Overview
Depq - Double-Ended Priority Queue
depq is double-ended stable priority queue with priority update operation implemented using implicit heap.
Features
-
queue - you can insert and delete values
-
priority - you can get a value with minimum priority
-
double-ended - you can get a value with maximum priority too
-
stable - you will get the value inserted first with minimum/maximum priority
-
priority change - you can change the priority of a inserted value. (usable for Dijkstra’s shortest path algorithm and various graph algorithms)
-
implicit heap - compact heap representation using array. most operations are O(log n) at worst
-
iterator operations: nlargest, nsmallest and merge
Introduction
Simple Insertion/Deletion
You can insert values into a Depq object. You can delete the values from the object from ascending/descending order. delete_min deletes the minimum value. It is used for ascending order.
q = Depq.new
q.insert "durian"
q.insert "banana"
p q.delete_min #=> "banana"
q.insert "orange"
q.insert "apple"
q.insert "melon"
p q.delete_min #=> "apple"
p q.delete_min #=> "durian"
p q.delete_min #=> "melon"
p q.delete_min #=> "orange"
p q.delete_min #=> nil
delete_max is similar to delete_min except it deletes maximum element instead of minimum. It is used for descending order.
The Order
The order is defined by the priorities corresponds to the values and comparison operator specified for the queue.
q = Depq.new(:casecmp) # use casecmp instead of <=>.
q.insert 1, "Foo" # specify the priority for 1 as "Foo"
q.insert 2, "bar"
q.insert 3, "Baz"
p q.delete_min #=> 2 # "bar" is minimum
p q.delete_min #=> 3
p q.delete_min #=> 1 # "Foo" is maximum
p q.delete_min #=> nil
If there are multiple values with same priority, subpriority is used to compare them. subpriority is an integer which can be specified by 3rd argument of insert. If it is not specified, total number of inserted elements is used. So Depq is “stable” which means that the element inserted first is deleted first.
q = Depq.new
q.insert "a", 1 # "a", "c" and "e" has same priority: 1
q.insert "b", 0 # "b", "d" and "f" has same priority: 0
q.insert "c", 1
q.insert "d", 0
q.insert "e", 1
q.insert "f", 0
p q.delete_min #=> "b" first element with priority 0
p q.delete_min #=> "d"
p q.delete_min #=> "f" last element with priority 0
p q.delete_min #=> "a" first element with priority 1
p q.delete_min #=> "c"
p q.delete_min #=> "e" last element with priority 1
Note that delete_max is also stable. This means delete_max deletes the element with maximum priority with “minimum” subpriority.
q = Depq.new
q.insert "a", 1 # "a", "c" and "e" has same priority: 1
q.insert "b", 0 # "b", "d" and "f" has same priority: 0
q.insert "c", 1
q.insert "d", 0
q.insert "e", 1
q.insert "f", 0
p q.delete_max #=> "a" first element with priority 1
p q.delete_max #=> "c"
p q.delete_max #=> "e" last element with priority 1
p q.delete_max #=> "b" first element with priority 0
p q.delete_max #=> "d"
p q.delete_max #=> "f" last element with priority 0
Update Element
An inserted element can be modified and/or deleted. The element to be modified is specified by Depq::Locator object. It is returned by insert, find_min_locator, etc.
q = Depq.new
d = q.insert "durian", 1
m = q.insert "mangosteen", 2
c = q.insert "cherry", 3
p m #=> #<Depq::Locator: "mangosteen":2>
p m.value #=> "mangosteen"
p m.priority #=> 2
p q.find_min #=> "durian"
p q.find_min_locator #=> #<Depq::Locator: "durian":1>
m.update("mangosteen", 0)
p q.find_min #=> "mangosteen"
p q.find_min_locator #=> #<Depq::Locator: "mangosteen":0>
q.delete_element d
p q.delete_min #=> "mangosteen"
p q.delete_min #=> "cherry"
p q.delete_min #=> nil
For example, this feature can be used for graph algorithms such as Dijkstra’s shortest path finding algorithm, A* search algorithm, etc.
def dijkstra_shortest_path(start, edges)
h = {}
edges.each {|v1, v2, w|
(h[v1] ||= []) << [v2, w]
}
h.default = []
q = Depq.new
visited = {start => q.insert([start], 0)}
until q.empty?
path, w1 = q.delete_min_priority
v1 = path.last
h[v1].each {|v2, w2|
if !visited[v2]
visited[v2] = q.insert(path+[v2], w1 + w2)
elsif w1 + w2 < visited[v2].priority
visited[v2].update(path+[v2], w1 + w2) # update val/prio
end
}
end
result = []
visited.each_value {|loc|
result << [loc.value, loc.priority]
}
result
end
E = [
['A', 'B', 2],
['A', 'C', 4],
['B', 'C', 1],
['C', 'B', 2],
['B', 'D', 3],
['C', 'D', 1],
]
p dijkstra_shortest_path('A', E)
#=> [[["A"], 0],
# [["A", "B"], 2],
# [["A", "B", "C"], 3],
# [["A", "B", "C", "D"], 4]]
Internal Heap Algorithm
Depq uses min-heap, max-heap or interval-heap internally. When delete_min is used, min-heap is constructed. When delete_max is used, max-heap is constructed. When delete_min and delete_max is used, interval-heap is constructed.
Defined Under Namespace
Classes: Locator
Constant Summary collapse
- ARY_SLICE_SIZE =
:stopdoc:
3
Class Method Summary collapse
-
.astar_search(start, heuristics = nil, &find_nexts) ⇒ Object
search a graph using A* search algorithm.
-
.merge(*iters, &b) ⇒ Object
iterates over iterators specified by arguments.
-
.nlargest(n, iter) ⇒ Object
:call-seq: Depq.nlargest(n, iter) Depq.nlargest(n, iter) {|e| order }.
-
.nsmallest(n, iter) ⇒ Object
:call-seq: Depq.nsmallest(n, iter) Depq.nsmallest(n, iter) {|e| order }.
Instance Method Summary collapse
-
#clear ⇒ Object
make the queue empty.
-
#compare_priority(priority1, priority2) ⇒ Object
compare priority1 and priority2.
-
#delete_locator(loc) ⇒ Object
delete the element specified by the locator.
-
#delete_max ⇒ Object
(also: #pop)
delete the maximum element in the queue and returns the value.
-
#delete_max_locator ⇒ Object
delete the maximum element in the queue and returns the locator.
-
#delete_max_priority ⇒ Object
delete the maximum element in the queue and returns the value and its priority.
-
#delete_min ⇒ Object
(also: #shift, #dequeue, #deq)
delete the minimum element in the queue and returns the value.
-
#delete_min_locator ⇒ Object
delete the minimum element in the queue and returns the locator.
-
#delete_min_priority ⇒ Object
delete the minimum element in the queue and returns the value and its priority.
-
#delete_unspecified ⇒ Object
delete an element in the queue and returns the value.
-
#delete_unspecified_locator ⇒ Object
delete an element in the queue and returns the locator.
-
#delete_unspecified_priority ⇒ Object
delete an element in the queue and returns the value and its priority.
-
#each ⇒ Object
iterate over the values in the queue.
-
#each_locator ⇒ Object
iterate over the locators in the queue.
-
#each_with_priority ⇒ Object
iterate over the values and priorities in the queue.
-
#empty? ⇒ Boolean
returns true if the queue is empty.
-
#find_max ⇒ Object
(also: #max, #last)
returns the maximum value.
-
#find_max_locator ⇒ Object
return the locator for the maximum element.
-
#find_max_priority ⇒ Object
return the maximum value with its priority.
-
#find_min ⇒ Object
(also: #min, #first)
return the minimum value.
-
#find_min_locator ⇒ Object
return the locator for the minimum element.
-
#find_min_priority ⇒ Object
return the minimum value with its priority.
-
#find_minmax ⇒ Object
(also: #minmax)
returns the minimum and maximum value as a two-element array.
-
#find_minmax_locator ⇒ Object
returns the locators for the minimum and maximum element as a two-element array.
-
#initialize(cmp = :<=>) ⇒ Depq
constructor
Create a Depq object.
-
#initialize_copy(obj) ⇒ Object
:nodoc:.
-
#insert(value, priority = value, subpriority = nil) ⇒ Object
(also: #add, #put, #enqueue, #enq, #<<)
insert the value to the queue.
-
#insert_all(iter) ⇒ Object
insert all values in iter.
-
#insert_locator(loc) ⇒ Object
insert the locator to the queue.
-
#inspect ⇒ Object
:nodoc:.
-
#pretty_print(q) ⇒ Object
:nodoc:.
-
#replace_max(value, priority = value, subpriority = nil) ⇒ Object
replaces the maximum element.
-
#replace_min(value, priority = value, subpriority = nil) ⇒ Object
replaces the minimum element.
-
#size ⇒ Object
(also: #length)
returns the number of elements in the queue.
-
#totalcount ⇒ Object
returns the total number of elements inserted for the queue, ever.
Constructor Details
#initialize(cmp = :<=>) ⇒ Depq
Create a Depq object.
The optional argument, cmp, specify the method to compare priorities. It should be a symbol or a comparator like a Proc which takes two arguments and returns -1, 0, 1. If it is omitted, :<=> is used.
q = Depq.new
q.insert "Foo"
q.insert "bar"
p q.delete_min #=> "Foo"
p q.delete_min #=> "bar"
q = Depq.new(:casecmp)
q.insert "Foo"
q.insert "bar"
p q.delete_min #=> "bar"
p q.delete_min #=> "Foo"
q = Depq.new(lambda {|a,b| a.casecmp(b) })
q.insert "Foo"
q.insert "bar"
p q.delete_min #=> "bar"
p q.delete_min #=> "Foo"
class Cmp
def call(a,b) a.casecmp(b) end
end
q = Depq.new(Cmp.new)
q.insert "Foo"
q.insert "bar"
p q.delete_min #=> "bar"
p q.delete_min #=> "Foo"
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# File 'lib/depq.rb', line 436 def initialize(cmp = :<=>) @cmp = cmp @ary = [] @heapsize = 0 @mode = nil @totalcount = 0 end |
Class Method Details
.astar_search(start, heuristics = nil, &find_nexts) ⇒ Object
search a graph using A* search algorithm.
The graph is defined by start argument and the given block. start specifies the start node for searching. The block should takes a node and return an array of pairs. The pair is an 2-element array which contains the next node and cost of the given node to the next node.
The optional argument, heuristics specifies conservative estimation to goal. It should be a Hash or a Proc that heuristics[node]
returns an estimated cost to goal. The estimated cost must be smaller or equal to the true cost. If heuristics is not given, Hash.new(0) is used. This means Depq.astar_search
behaves as Dijkstra’s algorithm in that case.
Depq.astar_search
returns an enumerator. It yields 3 values: previous node, current node and total cost between start node to current node. When current node is start node, nil is given for previous node.
# 7 5 1
# A--->B--->C--->D
# | | | |
# 2| 4| 1| 3|
# | | | |
# V V V V
# E--->F--->G--->H
# 3 3 5
#
g = {
:A => [[:B, 7], [:E, 2]],
:B => [[:C, 5], [:F, 4]],
:C => [[:D, 1], [:G, 1]],
:D => [[:H, 3]],
:E => [[:F, 3]],
:F => [[:G, 3]],
:G => [[:H, 5]],
:H => []
}
# This doesn't specify _heuristics_. So This is Dijkstra's algorithm.
Depq.astar_search(:A) {|n| g[n] }.each {|prev, curr, cost| p [prev, curr, cost] }
#=> [nil, :A, 0]
# [:A, :E, 2]
# [:E, :F, 5]
# [:A, :B, 7]
# [:F, :G, 8]
# [:B, :C, 12]
# [:G, :H, 13] # H found.
# [:C, :D, 13]
# heuristics using Manhattan distance assuming the goal is H.
h = {
:A => 4,
:B => 3,
:C => 2,
:D => 1,
:E => 3,
:F => 2,
:G => 1,
:H => 0
}
# This specify _heuristics_. So This is A* search algorithm.
Depq.astar_search(:A, h) {|n| g[n] }.each {|prev, curr, cost| p [prev, curr, cost] }
#=> [nil, :A, 0]
# [:A, :E, 2]
# [:E, :F, 5]
# [:F, :G, 8]
# [:A, :B, 7]
# [:G, :H, 13] # H found. Bit better than Dijkstra's algorithm.
# [:B, :C, 12]
# [:C, :D, 13]
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# File 'lib/depq.rb', line 1551 def Depq.astar_search(start, heuristics=nil, &find_nexts) Enumerator.new {|y| heuristics ||= Hash.new(0) h = Hash.new {|_, k| h[k] = heuristics[k] } q = Depq.new visited = {start => q.insert([nil, start], h[start])} until q.empty? path, w1 = q.delete_min_priority v1 = path.last w1 -= h[v1] y.yield [path.first, path.last, w1] find_nexts.call(v1).each {|v2, w2| w3 = w1 + w2 + h[v2] if !visited[v2] visited[v2] = q.insert([path.last,v2], w3) elsif w3 < visited[v2].priority visited[v2].update([path.last,v2], w3) end } end nil } end |
.merge(*iters, &b) ⇒ Object
iterates over iterators specified by arguments.
The iteration order is sorted, from minimum to maximum, if all the arugment iterators are sorted.
Depq.merge(1..4, 3..6) {|v| p v }
#=> 1
# 2
# 3
# 3
# 4
# 4
# 5
# 6
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# File 'lib/depq.rb', line 1444 def Depq.merge(*iters, &b) q = Depq.new iters.each {|enum| enum = enum.to_enum unless enum.kind_of? Enumerator begin val = enum.next rescue StopIteration next end q.insert enum, val } loop = lambda {|y, meth| until q.empty? loc = q.find_min_locator enum = loc.value val = loc.priority y.send meth, val begin val = enum.next rescue StopIteration q.delete_locator loc next end loc.update enum, val end } if block_given? loop.call(b, :call) else Enumerator.new {|y| loop.call(y, :yield) } end end |
.nlargest(n, iter) ⇒ Object
:call-seq:
Depq.nlargest(n, iter)
Depq.nlargest(n, iter) {|e| order }
returns the largest n elements in iter as an array.
The result array is ordered from the minimum element.
p Depq.nlargest(3, [5, 2, 3, 1, 4, 6, 7]) #=> [5, 6, 7]
If the block is given, the elements are compared by the corresponding block values.
p Depq.nlargest(3, [5, 2, 3, 1, 4, 6, 7]) {|e| -e } #=> [3, 2, 1]
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# File 'lib/depq.rb', line 1333 def Depq.nlargest(n, iter) raise ArgumentError, "n is negative" if n < 0 return [] if n == 0 limit = (n * Math.log(1+n)).ceil limit = 1024 if limit < 1024 q = Depq.new threshold = nil iter.each {|e| if block_given? v = yield e else v = e end if q.size < n if q.size == 0 threshold = v else threshold = v if (v <=> threshold) < 0 end q.insert e, v else if (v <=> threshold) > 0 q.insert e, v if limit < q.size tmp = [] n.times { tmp << q.delete_max_locator } q.clear tmp.each {|loc| q.insert_locator loc } threshold = tmp.last.priority end end end } n = q.size if q.size < n a = [] n.times { a << q.delete_max } a.reverse! a end |
.nsmallest(n, iter) ⇒ Object
:call-seq:
Depq.nsmallest(n, iter)
Depq.nsmallest(n, iter) {|e| order }
returns the smallest n elements in iter as an array.
The result array is ordered from the minimum element.
p Depq.nsmallest(5, [5, 2, 3, 1, 4, 6, 7]) #=> [1, 2, 3, 4, 5]
If the block is given, the elements are compared by the corresnponding block values.
p Depq.nsmallest(5, [5, 2, 3, 1, 4, 6, 7]) {|e| -e } #=> [7, 6, 5, 4, 3]
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# File 'lib/depq.rb', line 1388 def Depq.nsmallest(n, iter) raise ArgumentError, "n is negative" if n < 0 return [] if n == 0 limit = (n * Math.log(1+n)).ceil limit = 1024 if limit < 1024 q = Depq.new threshold = nil iter.each {|e| if block_given? v = yield e else v = e end if q.size < n if q.size == 0 threshold = v else threshold = v if (v <=> threshold) > 0 end q.insert e, v else if (v <=> threshold) < 0 q.insert e, v if limit < q.size tmp = [] n.times { tmp << q.delete_min_locator } q.clear tmp.each {|loc| q.insert_locator loc } threshold = tmp.last.priority end end end } n = q.size if q.size < n a = [] n.times { a << q.delete_min } a end |
Instance Method Details
#clear ⇒ Object
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# File 'lib/depq.rb', line 708 def clear @ary.clear @heapsize = 0 @mode = nil end |
#compare_priority(priority1, priority2) ⇒ Object
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# File 'lib/depq.rb', line 628 def compare_priority(priority1, priority2) if @cmp.kind_of? Symbol priority1.__send__(@cmp, priority2) else @cmp.call(priority1, priority2) end end |
#delete_locator(loc) ⇒ Object
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# File 'lib/depq.rb', line 991 def delete_locator(loc) check_locator(loc) index = loc.send(:index) if @heapsize <= index priority, subpriority = get_entry_ps(index) last = self.size - 1 if index != last loc2, priority2, subpriority2 = get_entry(last) set_entry(index, loc2, priority2, subpriority2) loc2.send(:index=, index) end delete_last_entry loc.send(:internal_deleted, priority, subpriority) loc else mode_heapify @heapsize = mode_call(:delete_loc, loc) loc end end |
#delete_max ⇒ Object Also known as: pop
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# File 'lib/depq.rb', line 1132 def delete_max loc = delete_max_locator loc and loc.value end |
#delete_max_locator ⇒ Object
delete the maximum element in the queue and returns the locator.
This method returns the locator for the deleted element. nil is returned if the queue is empty.
q = Depq.new
q.insert 2
q.insert 1
q.insert 3
p q.delete_max_locator #=> #<Depq::Locator: 3 (no queue)>
p q.delete_max_locator #=> #<Depq::Locator: 2 (no queue)>
p q.delete_max_locator #=> #<Depq::Locator: 1 (no queue)>
p q.delete_max_locator #=> nil
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# File 'lib/depq.rb', line 1090 def delete_max_locator return nil if empty? use_max loc = mode_call(:find_max_loc) @heapsize = mode_call(:delete_loc, loc) loc end |
#delete_max_priority ⇒ Object
delete the maximum element in the queue and returns the value and its priority.
This method returns an array which contains the value and its priority of the deleted element. nil is returned if the queue is empty.
q = Depq.new
q.insert "durian", 1
q.insert "banana", 3
q.insert "melon", 2
p q.delete_max_priority #=> ["banana", 3]
p q.delete_max_priority #=> ["melon", 2]
p q.delete_max_priority #=> ["durian", 1]
p q.delete_max_priority #=> nil
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# File 'lib/depq.rb', line 1113 def delete_max_priority loc = delete_max_locator loc and [loc.value, loc.priority] end |
#delete_min ⇒ Object Also known as: shift, dequeue, deq
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# File 'lib/depq.rb', line 1068 def delete_min loc = delete_min_locator loc and loc.value end |
#delete_min_locator ⇒ Object
delete the minimum element in the queue and returns the locator.
This method returns the locator for the deleted element. nil is returned if the queue is empty.
q = Depq.new
q.insert 2
q.insert 1
q.insert 3
p q.delete_min_locator #=> #<Depq::Locator: 1 (no queue)>
p q.delete_min_locator #=> #<Depq::Locator: 2 (no queue)>
p q.delete_min_locator #=> #<Depq::Locator: 3 (no queue)>
p q.delete_min_locator #=> nil
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# File 'lib/depq.rb', line 1026 def delete_min_locator return nil if empty? use_min loc = mode_call(:find_min_loc) @heapsize = mode_call(:delete_loc, loc) loc end |
#delete_min_priority ⇒ Object
delete the minimum element in the queue and returns the value and its priority.
This method returns an array which contains the value and its priority of the deleted element. nil is returned if the queue is empty.
q = Depq.new
q.insert "durian", 1
q.insert "banana", 3
q.insert "melon", 2
p q.delete_min_priority #=> ["durian", 1]
p q.delete_min_priority #=> ["melon", 2]
p q.delete_min_priority #=> ["banana", 3]
p q.delete_min_priority #=> nil
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# File 'lib/depq.rb', line 1049 def delete_min_priority loc = delete_min_locator loc and [loc.value, loc.priority] end |
#delete_unspecified ⇒ Object
delete an element in the queue and returns the value. The element is choosen for fast deletion.
This method returns the value of the deleted element. nil is returned if the queue is empty.
q = Depq.new
q.insert 1
q.insert 4
q.insert 3
p q.delete_unspecified #=> 3
p q.delete_unspecified #=> 4
p q.delete_unspecified #=> 1
p q.delete_unspecified #=> nil
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# File 'lib/depq.rb', line 1195 def delete_unspecified loc = delete_unspecified_locator loc and loc.value end |
#delete_unspecified_locator ⇒ Object
delete an element in the queue and returns the locator. The element is choosen for fast deletion.
This method returns the locator for the deleted element. nil is returned if the queue is empty.
q = Depq.new
q.insert 1
q.insert 4
q.insert 3
p q.delete_unspecified_locator #=> #<Depq::Locator: 3 (no queue)>
p q.delete_unspecified_locator #=> #<Depq::Locator: 4 (no queue)>
p q.delete_unspecified_locator #=> #<Depq::Locator: 1 (no queue)>
p q.delete_unspecified_locator #=> nil
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# File 'lib/depq.rb', line 1153 def delete_unspecified_locator return nil if empty? loc = get_entry_e(self.size-1) delete_locator(loc) end |
#delete_unspecified_priority ⇒ Object
delete an element in the queue and returns the value and its priority. The element is choosen for fast deletion.
This method returns an array which contains the value and its priority of the deleted element. nil is returned if the queue is empty.
q = Depq.new
q.insert "durian", 1
q.insert "banana", 3
q.insert "melon", 2
p q.delete_unspecified_priority #=> ["melon", 2]
p q.delete_unspecified_priority #=> ["banana", 3]
p q.delete_unspecified_priority #=> ["durian", 1]
p q.delete_unspecified_priority #=> nil
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# File 'lib/depq.rb', line 1175 def delete_unspecified_priority loc = delete_unspecified_locator loc and [loc.value, loc.priority] end |
#each ⇒ Object
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# File 'lib/depq.rb', line 1311 def each # :yield: value each_entry {|locator, priority| yield locator.value } nil end |
#each_locator ⇒ Object
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# File 'lib/depq.rb', line 1269 def each_locator # :yield: locator each_entry {|locator,| yield locator } nil end |
#each_with_priority ⇒ Object
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# File 'lib/depq.rb', line 1291 def each_with_priority # :yield: value, priority each_entry {|locator, priority| yield locator.value, priority } nil end |
#empty? ⇒ Boolean
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# File 'lib/depq.rb', line 645 def empty? @ary.empty? end |
#find_max ⇒ Object Also known as: max, last
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# File 'lib/depq.rb', line 942 def find_max loc = find_max_locator and loc.value end |
#find_max_locator ⇒ Object
return the locator for the maximum element. This method returns nil if the queue is empty.
This method doesn’t delete the element from the queue.
q = Depq.new
p q.find_max_locator #=> nil
q.insert 3
q.insert 1
q.insert 2
p q.find_max_locator #=> #<Depq::Locator: 3>
p q.find_max_locator #=> #<Depq::Locator: 3>
p q.find_max_locator #=> #<Depq::Locator: 3>
p q.delete_max #=> 3
p q.find_max_locator #=> #<Depq::Locator: 2>
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# File 'lib/depq.rb', line 900 def find_max_locator return nil if empty? use_max mode_call(:find_max_loc) end |
#find_max_priority ⇒ Object
return the maximum value with its priority. This method returns nil if the queue is empty.
This method doesn’t delete the element from the queue.
q = Depq.new
p q.find_max_priority #=> nil
q.insert "durian", 1
q.insert "banana", 3
q.insert "melon", 2
p q.find_max_priority #=> ["banana", 3]
p q.find_max_priority #=> ["banana", 3]
p q.delete_max #=> "banana"
p q.find_max_priority #=> ["melon", 2]
q.clear
p q.find_max_priority #=> nil
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# File 'lib/depq.rb', line 923 def find_max_priority loc = find_max_locator and [loc.value, loc.priority] end |
#find_min ⇒ Object Also known as: min, first
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# File 'lib/depq.rb', line 878 def find_min loc = find_min_locator and loc.value end |
#find_min_locator ⇒ Object
return the locator for the minimum element. This method returns nil if the queue is empty.
This method doesn’t delete the element from the queue.
q = Depq.new
p q.find_min_locator #=> nil
q.insert 3
q.insert 1
q.insert 2
p q.find_min_locator #=> #<Depq::Locator: 1>
p q.find_min_locator #=> #<Depq::Locator: 1>
p q.delete_min #=> 1
p q.find_min_locator #=> #<Depq::Locator: 2>
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# File 'lib/depq.rb', line 836 def find_min_locator return nil if empty? use_min mode_call(:find_min_loc) end |
#find_min_priority ⇒ Object
return the minimum value with its priority. This method returns nil if the queue is empty.
This method doesn’t delete the element from the queue.
q = Depq.new
p q.find_min_priority #=> nil
q.insert "durian", 1
q.insert "banana", 3
q.insert "melon", 2
p q.find_min_priority #=> ["durian", 1]
p q.find_min_priority #=> ["durian", 1]
p q.delete_min #=> "durian"
p q.find_min_priority #=> ["melon", 2]
q.clear
p q.find_min_priority #=> nil
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# File 'lib/depq.rb', line 859 def find_min_priority loc = find_min_locator and [loc.value, loc.priority] end |
#find_minmax ⇒ Object Also known as: minmax
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# File 'lib/depq.rb', line 974 def find_minmax loc1, loc2 = self.find_minmax_locator [loc1 && loc1.value, loc2 && loc2.value] end |
#find_minmax_locator ⇒ Object
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# File 'lib/depq.rb', line 958 def find_minmax_locator return [nil, nil] if empty? use_minmax return mode_call(:find_minmax_loc) end |
#initialize_copy(obj) ⇒ Object
:nodoc:
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# File 'lib/depq.rb', line 573 def initialize_copy(obj) # :nodoc: if defined? @ary @ary = @ary.dup n = @ary.length / ARY_SLICE_SIZE k = 0 n.times {|i| loc1 = @ary[k] loc2 = Depq::Locator.allocate loc2.send(:initialize_in_queue, loc1.value, self, i) @ary[k] = loc2 k += ARY_SLICE_SIZE } end end |
#insert(value, priority = value, subpriority = nil) ⇒ Object Also known as: add, put, enqueue, enq, <<
insert the value to the queue.
If priority is omitted, the value itself is used as the priority.
If subpriority is omitted or nil, totalcount is used for stability.
q = Depq.new
q.insert 3
q.insert 1
q.insert 2
p q.delete_min #=> 1
p q.delete_min #=> 2
p q.delete_min #=> 3
q = Depq.new
q.insert 3, 10
q.insert 1, 20
q.insert 2, 30
p q.delete_min #=> 3
p q.delete_min #=> 1
p q.delete_min #=> 2
This method returns a locator which locates the inserted element. It can be used to update the value and priority, or delete the element.
q = Depq.new
q.insert 3
loc1 = q.insert 1
loc2 = q.insert 2
q.insert 4
p q.delete_max #=> 4
q.delete_locator loc1
loc2.update 8
p q.delete_max #=> 8
p q.delete_max #=> 3
p q.delete_max #=> nil
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# File 'lib/depq.rb', line 791 def insert(value, priority=value, subpriority=nil) loc = Locator.new(value, priority, subpriority) insert_locator(loc) end |
#insert_all(iter) ⇒ Object
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# File 'lib/depq.rb', line 814 def insert_all(iter) iter.each {|v| insert v } nil end |
#insert_locator(loc) ⇒ Object
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# File 'lib/depq.rb', line 744 def insert_locator(loc) priority = loc.priority subpriority = loc.subpriority || default_subpriority i = self.size loc.send(:internal_inserted, self, i) set_entry(i, loc, priority, subpriority) @totalcount += 1 loc end |
#inspect ⇒ Object
:nodoc:
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# File 'lib/depq.rb', line 588 def inspect # :nodoc: unless defined? @cmp return "\#<#{self.class}: uninitialized>" end a = [] each_entry {|loc, priority| value = loc.value s = value.inspect if value != priority s << ":" << priority.inspect end a << s } "\#<#{self.class}: #{a.join(' ')}>" end |
#pretty_print(q) ⇒ Object
:nodoc:
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# File 'lib/depq.rb', line 604 def pretty_print(q) # :nodoc: q.object_group(self) { each_entry {|loc, priority| q.breakable value = loc.value q.pp value if value != priority q.text ':' q.pp priority end } } end |
#replace_max(value, priority = value, subpriority = nil) ⇒ Object
replaces the maximum element.
If priority is not given, value is used.
If subpriority is not given or nil, totalcount is used.
This is virtually same as delete_max and insert except the locator is reused. This method increment totalcount.
q = Depq.new
q.insert 1
q.insert 4
q.insert 3
p q.max #=> 4
q.replace_max(2)
p q.delete_max #=> 3
p q.delete_max #=> 2
p q.delete_max #=> 1
p q.delete_max #=> nil
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# File 'lib/depq.rb', line 1248 def replace_max(value, priority=value, subpriority=nil) subpriority ||= @totalcount @totalcount += 1 loc = find_max_locator loc.update(value, priority, subpriority) loc end |
#replace_min(value, priority = value, subpriority = nil) ⇒ Object
replaces the minimum element.
If priority is not given, value is used.
If subpriority is not given or nil, totalcount is used.
This is virtually same as delete_min and insert except the locator is reused. This method increment totalcount.
q = Depq.new
q.insert 2
q.insert 4
q.insert 3
p q.min #=> 2
q.replace_min(5)
p q.delete_min #=> 3
p q.delete_min #=> 4
p q.delete_min #=> 5
p q.delete_min #=> nil
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# File 'lib/depq.rb', line 1220 def replace_min(value, priority=value, subpriority=nil) subpriority ||= @totalcount @totalcount += 1 loc = find_min_locator loc.update(value, priority, subpriority) loc end |
#size ⇒ Object Also known as: length
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# File 'lib/depq.rb', line 662 def size @ary.size / ARY_SLICE_SIZE end |
#totalcount ⇒ Object
returns the total number of elements inserted for the queue, ever.
The result is monotonically increased.
q = Depq.new
p [q.size, q.totalcount] #=> [0, 0]
q.insert 1
p [q.size, q.totalcount] #=> [1, 1]
q.insert 2
p [q.size, q.totalcount] #=> [2, 2]
q.delete_min
p [q.size, q.totalcount] #=> [1, 2]
q.insert 4
p [q.size, q.totalcount] #=> [2, 3]
q.insert 3
p [q.size, q.totalcount] #=> [3, 4]
q.insert 0
p [q.size, q.totalcount] #=> [4, 5]
q.delete_min
p [q.size, q.totalcount] #=> [3, 5]
q.insert 2
p [q.size, q.totalcount] #=> [4, 6]
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# File 'lib/depq.rb', line 690 def totalcount @totalcount end |