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Javascript's Array prototype & Perl's arrays have native support for both removing (shift and pop) and adding (unshift and push) elements on both ends. Python 2.4 introduced the collections module with support for deque objects. It is implemented using a doubly linked list of fixed-length subarrays.
The operation of adding an element to the rear of the queue is known as enqueue, and the operation of removing an element from the front is known as dequeue. Other operations may also be allowed, often including a peek or front operation that returns the value of the next element to be dequeued without dequeuing it.
Python's heapq module implements a binary min-heap on top of a list. Java's library contains a PriorityQueue class, which implements a min-priority-queue as a binary heap. .NET's library contains a PriorityQueue class, which implements an array-backed, quaternary min-heap.
A stack can be easily implemented either through an array or a linked list, as it is merely a special case of a list. [19] In either case, what identifies the data structure as a stack is not the implementation but the interface: the user is only allowed to pop or push items onto the array or linked list, with few other helper operations.
The start and end indexes alone are not enough to distinguish between buffer full or empty state while also utilizing all buffer slots, [5] but can be if the buffer only has a maximum in-use size of Length − 1. [6] In this case, the buffer is empty if the start and end indexes are equal and full when the in-use size is Length − 1.
On the OS/VS1, MVS, and OS/390 operating systems from IBM, a file name was up to 44 characters, consisting of upper case letters, digits, and the period. A file name must start with a letter or number, a period must occur at least once each 8 characters, two consecutive periods could not appear in the name, and must end with a letter or digit. [2]
if right ≤ length(A) and A[right] > A[largest] then: largest ← right if largest ≠ i then: swap A[i] and A[largest] Max-Heapify(A, largest) For the above algorithm to correctly re-heapify the array, no nodes besides the node at index i and its two direct children can violate the heap property. The down-heap operation (without the preceding ...
A tournament tree can be represented as a balanced binary tree by adding sentinels to the input lists (i.e. adding a member to the end of each list with a value of infinity) and by adding null lists (comprising only a sentinel) until the number of lists is a power of two. The balanced tree can be stored in a single array.