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You may design your own implementation approach, but here are a few constraints.

Your program should read in a list of jobs from a tab-delimited text file named jobs.txt. The format of the text file should have one line for each job, where each line has a job name, a start time and a duration. The job name must be a letter from A-Z. The first job should be named A, and the remaining jobs should be named sequentially following the alphabet, so if there are five jobs, they are named A-E. The arrival times of these jobs should be in order.

The scheduler choice should be a command-line parameter that is one of the following: FCFS, RR, SPN, SRT, HRRN, FB, ALL. If ALL is input, the program should produce output for all six scheduling algorithms. RR and FB should use a quantum of one. FB should use three queues.

Your output should be a graph as shown in the slides. The graph can be text or you can use a graphics package such as JavaFX to draw the graph. For text, you may draw the graph down the page rather than across.

Your program should be able to reproduce the sample shown in the book as well as any similar set of jobs.

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How to Do a Binary Search in Python

How to Do a Binary Search in Python

by Bartosz Zaczyński Mar 16, 2020 2 Comments intermediate python

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Table of Contents

Benchmarking

Download IMDb

Read Tab-Separated Values

Measure the Execution Time

Understanding Search Algorithms

Random Search

Linear Search

Binary Search

Hash-Based Search

Using the bisect Module

Finding an Element

Inserting a New Element

Implementing Binary Search in Python

Iteratively

Recursively

Covering Tricky Details

Integer Overflow

Stack Overflow

Duplicate Elements

Floating-Point Rounding

Analyzing the Time-Space Complexity of Binary Search

Time-Space Complexity

The Big O Notation

The Complexity of Binary Search

Conclusion

Binary search is a classic algorithm in computer science. It often comes up in programming contests and technical interviews. Implementing binary search turns out to be a challenging task, even when you understand the concept. Unless you’re curious or have a specific assignment, you should always leverage existing libraries to do a binary search in Python or any other language.

In this tutorial, you’ll learn how to:

Use the bisect module to do a binary search in Python

Implement a binary search in Python both recursively and iteratively

Recognize and fix defects in a binary search Python implementation

Analyze the time-space complexity of the binary search algorithm

Search even faster than binary search

Step-by-step explanation:

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