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Review Swift codes (#1150)

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* feat(swift): review for chapter_computational_complexity

* feat(swift): review for chapter_data_structure

* feat(swift): review for chapter_array_and_linkedlist

* feat(swift): review for chapter_stack_and_queue

* feat(swift): review for chapter_hashing

* feat(swift): review for chapter_tree

* feat(swift): add codes for heap article

* feat(swift): review for chapter_heap

* feat(swift): review for chapter_graph

* feat(swift): review for chapter_searching

* feat(swift): review for chapter_sorting

* feat(swift): review for chapter_divide_and_conquer

* feat(swift): review for chapter_backtracking

* feat(swift): review for chapter_dynamic_programming

* feat(swift): review for chapter_greedy

* feat(swift): review for utils

* feat(swift): update ci tool

* feat(swift): trailing closure

* feat(swift): array init

* feat(swift): map index
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docs-en/chapter_computational_complexity/time_complexity.md
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@ -317,7 +317,7 @@ Let's understand this concept of "time growth trend" with an example. Assume the
// Time complexity of algorithm C: constant order
func algorithmC(n: Int) {
for _ in 0 ..< 1000000 {
for _ in 0 ..< 1_000_000 {
print(0)
}
}