Priority queue concept in Data Structures Theory - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the sentence to define a priority queue.

Data Structures Theory

A priority queue is a data structure where elements are removed based on their [1] rather than their insertion order.

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Apriority

Bcolor

Clength

Dsize

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing priority with insertion order.

Thinking size or length determines removal.

A priority queue removes elements based on their priority, not the order they were added.

2fill in blank

medium

Complete the sentence to describe the typical operation of a priority queue.

Data Structures Theory

In a priority queue, the element with the [1] priority is removed first.

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Amiddle

Blowest

Chighest

Dlast

Attempts:

3 left

💡 Hint

Common Mistakes

Assuming the lowest priority is removed first.

Confusing priority with insertion order.

The element with the highest priority is removed first in a priority queue.

3fill in blank

hard

Fix the error in the statement about priority queues.

Data Structures Theory

A priority queue always removes elements in the order they were added, which is [1] behavior.

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ALIFO

Bincorrect

CFIFO

Dcorrect

Attempts:

3 left

💡 Hint

Common Mistakes

Thinking priority queues behave like FIFO queues.

Confusing priority queues with stacks.

This statement is incorrect because priority queues remove elements based on priority, not insertion order.

4fill in blank

hard

Fill both blanks to complete the description of priority queue operations.

Data Structures Theory

To add an element, use the [1] operation; to remove the highest priority element, use the [2] operation.

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Aenqueue

Bpush

Cdequeue

Dpop

Attempts:

3 left

💡 Hint

Common Mistakes

Using stack operation names like push and pop.

Mixing up enqueue and dequeue.

In priority queues, enqueue adds elements, and dequeue removes the highest priority element.

5fill in blank

hard

Fill all three blanks to complete the priority queue comprehension.

Data Structures Theory

priority_queue = [(item, [1]) for item in items]
priority_queue.sort(key=lambda x: x[[2]], reverse=[3])

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Apriority

B1

CTrue

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using index 0 instead of 1 for sorting key.

Setting reverse to False, which sorts ascending.

The list holds tuples of (item, priority). Sorting uses index 1 (priority) and True for descending order to get highest priority first.