basic ECS spawner
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321
addons/gecs/lib/set.gd
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321
addons/gecs/lib/set.gd
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## Set is Mathematical set data structure for collections of unique values.[br]
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##
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## Built on Dictionary for O(1) membership testing. Used throughout GECS for
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## entity filtering and component indexing.
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##
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## Supports standard set operations like union, intersection, and difference.
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## No inherent ordering - elements are stored by hash.
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##
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## [codeblock]
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## var numbers = Set.new([1, 2, 3, 4, 5])
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## numbers.add(6)
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## print(numbers.has(3)) # true
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##
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## var set_a = Set.new([1, 2, 3, 4])
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## var set_b = Set.new([3, 4, 5, 6])
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## var intersection = set_a.intersect(set_b) # [3, 4]
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## [/codeblock]
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class_name Set
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extends RefCounted
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## Internal storage using Dictionary keys for O(1) average-case operations.
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## Values in the dictionary are always [code]true[/code] and ignored.
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var _data: Dictionary = {}
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## Initializes a new Set from Array, Dictionary keys, or another Set.
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## [param data]: Optional initial data. Duplicates are automatically removed.
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func _init(data = null) -> void:
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if data:
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if data is Array:
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# Add array elements, automatically deduplicating
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for value in data:
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_data[value] = true
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elif data is Set:
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# Copy from another set
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for value in data._data.keys():
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_data[value] = true
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elif data is Dictionary:
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# Use dictionary keys as set elements
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for key in data.keys():
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_data[key] = true
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#region Basic Set Operations
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## Adds a value to the set. Has no effect if the value is already present.
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## [param value]: The value to add to the set. Can be any hashable type.
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##
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## [b]Time Complexity:[/b] O(1) average case
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## [codeblock]
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## var my_set = Set.new([1, 2, 3])
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## my_set.add(4) # Set now contains [1, 2, 3, 4]
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## my_set.add(2) # No change, 2 already exists
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## [/codeblock]
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func add(value) -> void:
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_data[value] = true
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## Removes a value from the set. Has no effect if the value is not present.
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## [param value]: The value to remove from the set
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##
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## [b]Time Complexity:[/b] O(1) average case
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## [codeblock]
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## var my_set = Set.new([1, 2, 3, 4])
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## my_set.erase(3) # Set now contains [1, 2, 4]
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## my_set.erase(5) # No change, 5 doesn't exist
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## [/codeblock]
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func erase(value) -> void:
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_data.erase(value)
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## Tests whether a value exists in the set.
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## [param value]: The value to test for membership
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## [return]: [code]true[/code] if the value exists in the set, [code]false[/code] otherwise
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##
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## [b]Time Complexity:[/b] O(1) average case
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## [codeblock]
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## var my_set = Set.new(["apple", "banana", "cherry"])
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## print(my_set.has("banana")) # true
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## print(my_set.has("grape")) # false
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## [/codeblock]
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func has(value) -> bool:
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return _data.has(value)
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## Removes all elements from the set, making it empty.
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## [b]Time Complexity:[/b] O(1)
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## [codeblock]
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## var my_set = Set.new([1, 2, 3, 4, 5])
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## my_set.clear()
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## print(my_set.is_empty()) # true
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## [/codeblock]
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func clear() -> void:
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_data.clear()
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## Returns the number of elements in the set.
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## [return]: Integer count of unique elements in the set
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##
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## [b]Time Complexity:[/b] O(1)
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## [codeblock]
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## var my_set = Set.new(["a", "b", "c", "a", "b"]) # Duplicates ignored
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## print(my_set.size()) # 3
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## [/codeblock]
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func size() -> int:
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return _data.size()
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## Tests whether the set contains no elements.
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## [return]: [code]true[/code] if the set is empty, [code]false[/code] otherwise
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##
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## [b]Time Complexity:[/b] O(1)
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## [codeblock]
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## var empty_set = Set.new()
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## var filled_set = Set.new([1, 2, 3])
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## print(empty_set.is_empty()) # true
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## print(filled_set.is_empty()) # false
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## [/codeblock]
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func is_empty() -> bool:
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return _data.is_empty()
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## Returns all elements in the set as an Array.
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## The order of elements is not guaranteed and may vary between calls.
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## [return]: Array containing all set elements
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##
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## [b]Time Complexity:[/b] O(n) where n is the number of elements
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## [codeblock]
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## var my_set = Set.new([3, 1, 4, 1, 5])
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## var elements = my_set.values() # [1, 3, 4, 5] (order may vary)
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## [/codeblock]
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func values() -> Array:
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return _data.keys()
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#endregion
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#region Set Algebra Operations
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## Returns the union of this set with another set (A ∪ B).
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## Creates a new set containing all elements that exist in either set.
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## [param other]: The other set to union with
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## [return]: New [Set] containing all elements from both sets
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##
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## [b]Time Complexity:[/b] O(|A| + |B|) where |A| and |B| are set sizes
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## [codeblock]
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## var set_a = Set.new([1, 2, 3])
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## var set_b = Set.new([3, 4, 5])
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## var union_set = set_a.union(set_b) # Contains [1, 2, 3, 4, 5]
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## [/codeblock]
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func union(other: Set) -> Set:
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var result = Set.new()
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result._data = _data.duplicate()
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for key in other._data.keys():
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result._data[key] = true
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return result
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## Returns the intersection of this set with another set (A ∩ B).
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## Creates a new set containing only elements that exist in both sets.
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## Automatically optimizes by iterating over the smaller set.
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## [param other]: The other set to intersect with
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## [return]: New [Set] containing elements common to both sets
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##
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## [b]Time Complexity:[/b] O(min(|A|, |B|)) - optimized for smaller set
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## [codeblock]
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## var set_a = Set.new([1, 2, 3, 4])
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## var set_b = Set.new([3, 4, 5, 6])
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## var intersection = set_a.intersect(set_b) # Contains [3, 4]
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## [/codeblock]
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func intersect(other: Set) -> Set:
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# Optimization: iterate over smaller set for better performance
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if other.size() < _data.size():
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return other.intersect(self )
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var result = Set.new()
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for key in _data.keys():
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if other._data.has(key):
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result._data[key] = true
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return result
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## Returns the difference of this set minus another set (A - B).
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## Creates a new set containing elements in this set but not in the other.
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## [param other]: The set whose elements to exclude
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## [return]: New [Set] containing elements only in this set
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##
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## [b]Time Complexity:[/b] O(|A|) where |A| is the size of this set
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## [codeblock]
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## var set_a = Set.new([1, 2, 3, 4])
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## var set_b = Set.new([3, 4, 5, 6])
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## var difference = set_a.difference(set_b) # Contains [1, 2]
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## [/codeblock]
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func difference(other: Set) -> Set:
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var result = Set.new()
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for key in _data.keys():
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if not other._data.has(key):
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result._data[key] = true
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return result
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## Returns the symmetric difference of this set with another set (A ⊕ B).
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## Creates a new set containing elements in either set, but not in both.
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## Equivalent to (A - B) ∪ (B - A).
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## [param other]: The other set for symmetric difference
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## [return]: New [Set] containing elements in exactly one of the two sets
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##
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## [b]Time Complexity:[/b] O(|A| + |B|)
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## [codeblock]
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## var set_a = Set.new([1, 2, 3, 4])
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## var set_b = Set.new([3, 4, 5, 6])
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## var sym_diff = set_a.symmetric_difference(set_b) # Contains [1, 2, 5, 6]
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## [/codeblock]
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func symmetric_difference(other: Set) -> Set:
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var result = Set.new()
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# Add elements from this set that aren't in other
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for key in _data.keys():
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if not other._data.has(key):
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result._data[key] = true
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# Add elements from other set that aren't in this set
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for key in other._data.keys():
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if not _data.has(key):
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result._data[key] = true
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return result
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#endregion
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#region Set Relationship Testing
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## Tests whether this set is a subset of another set (A ⊆ B).
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## Returns [code]true[/code] if every element in this set also exists in the other set.
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## [param other]: The potential superset to test against
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## [return]: [code]true[/code] if this set is a subset of other, [code]false[/code] otherwise
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##
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## [b]Time Complexity:[/b] O(|A|) where |A| is the size of this set
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## [codeblock]
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## var small_set = Set.new([1, 2])
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## var large_set = Set.new([1, 2, 3, 4, 5])
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## print(small_set.is_subset(large_set)) # true
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## print(large_set.is_subset(small_set)) # false
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## [/codeblock]
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func is_subset(other: Set) -> bool:
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for key in _data.keys():
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if not other._data.has(key):
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return false
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return true
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## Tests whether this set is a superset of another set (A ⊇ B).
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## Returns [code]true[/code] if this set contains every element from the other set.
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## [param other]: The potential subset to test
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## [return]: [code]true[/code] if this set is a superset of other, [code]false[/code] otherwise
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##
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## [b]Time Complexity:[/b] O(|B|) where |B| is the size of the other set
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## [codeblock]
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## var large_set = Set.new([1, 2, 3, 4, 5])
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## var small_set = Set.new([2, 4])
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## print(large_set.is_superset(small_set)) # true
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## [/codeblock]
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func is_superset(other: Set) -> bool:
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return other.is_subset(self )
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## Tests whether this set contains exactly the same elements as another set (A = B).
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## Two sets are equal if they have the same size and this set is a subset of the other.
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## [param other]: The set to compare for equality
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## [return]: [code]true[/code] if sets contain identical elements, [code]false[/code] otherwise
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##
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## [b]Time Complexity:[/b] O(min(|A|, |B|)) - fails fast on size mismatch
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## [codeblock]
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## var set_a = Set.new([1, 2, 3])
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## var set_b = Set.new([3, 1, 2]) # Order doesn't matter
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## var set_c = Set.new([1, 2, 3, 4])
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## print(set_a.is_equal(set_b)) # true
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## print(set_a.is_equal(set_c)) # false
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## [/codeblock]
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func is_equal(other) -> bool:
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# Quick size check for early exit
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if _data.size() != other._data.size():
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return false
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return self.is_subset(other)
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#endregion
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#region Utility Methods
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## Creates a shallow copy of this set.
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## The returned set is independent - modifications to either set won't affect the other.
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## However, if the set contains reference types, the references are shared.
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## [return]: New [Set] containing the same elements
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##
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## [b]Time Complexity:[/b] O(n) where n is the number of elements
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## [codeblock]
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## var original = Set.new([1, 2, 3])
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## var copy = original.duplicate()
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## copy.add(4) # Only affects copy
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## print(original.size()) # 3
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## print(copy.size()) # 4
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## [/codeblock]
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func duplicate() -> Set:
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var result = Set.new()
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result._data = _data.duplicate()
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return result
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## Converts the set to an Array containing all elements.
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## This is an alias for [method values] provided for API consistency.
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## The order of elements is not guaranteed.
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## [return]: Array containing all set elements
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##
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## [b]Time Complexity:[/b] O(n) where n is the number of elements
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## [codeblock]
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## var my_set = Set.new(["x", "y", "z"])
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## var array = my_set.to_array() # ["x", "y", "z"] (order may vary)
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## [/codeblock]
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func to_array() -> Array:
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return _data.keys()
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#endregion
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