Hướng dẫn how do i order a priority queue in python? - làm cách nào để sắp xếp một hàng đợi ưu tiên trong python?

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Lưu bài viết

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Đọc are abstract data structures where each data/value in the queue has a certain priority. For example, In airlines, baggage with the title “Business” or “First-class” arrives earlier than the rest.

Bàn luận

1. Hàng đợi ưu tiên là các cấu trúc dữ liệu trừu tượng trong đó mỗi dữ liệu/giá trị trong hàng đợi có mức độ ưu tiên nhất định. Ví dụ, trong các hãng hàng không, hành lý với tiêu đề kinh doanh, hoặc hạng nhất của nhóm đến sớm hơn phần còn lại.
2. Hàng đợi ưu tiên là một phần mở rộng của hàng đợi với các thuộc tính sau.
   Various applications of the Priority queue in Computer Science are:
   Job Scheduling algorithms, CPU and Disk Scheduling, managing resources that are shared among different processes, etc.

Một yếu tố có mức độ ưu tiên cao được khử trùng trước một phần tử có mức độ ưu tiên thấp.

1. Nếu hai yếu tố có cùng mức độ ưu tiên, chúng được phục vụ theo đơn đặt hàng của chúng trong hàng đợi. Các ứng dụng của hàng đợi ưu tiên trong khoa học máy tính là: thuật toán lập lịch công việc, lập kế hoạch CPU và đĩa, quản lý tài nguyên được chia sẻ giữa các quy trình khác nhau, v.v.
2. Sự khác biệt chính giữa hàng đợi ưu tiên và hàng đợi:

Trong hàng đợi, yếu tố lâu đời nhất được khử trùng đầu tiên. Trong khi, trong hàng đợi ưu tiên, một yếu tố dựa trên mức ưu tiên cao nhất được giải quyết.simple implementation of the priority queue.

Khi các phần tử được bật ra khỏi hàng đợi ưu tiên, kết quả thu được được sắp xếp theo thứ tự tăng hoặc theo thứ tự giảm. Trong khi, khi các phần tử được bật từ một hàng đợi đơn giản, một thứ tự dữ liệu FIFO thu được trong kết quả.

Dưới đây là một triển khai đơn giản của hàng đợi ưu tiên.

Python

class PriorityQueue(object

    def __init__(self):

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    def

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    def PriorityQueue(4self):

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    def object8self):0

    def ):6self):

    2    3

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    2class7 class8class9 def0object0PriorityQueue(9object0selfdef5

‘

__init__(2    3

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    2__init__(7

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    2self2 selfself0

    2

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    2

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

    2class2 self7

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

def7

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Output:

12 1 14 7
14
12
7
1

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))

Time complexity: By using heap data structure to implement Priority Queues
Insert Operation: O(log(n))
Delete Operation: O(log(n))