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This repository contains useful algorithms to solve general problems that arise in computer science. Contents: graphs.py: Contains common graph algorithms which manipulate a dictionary data structure which represents a graph, as well as a class which abstracts many different graph search problems, and is reusable with many different goal tests and successor functions arrays.py: Contains common array manipulation and sorting algorithms implemented in a number of different styles search.py: Contains implementations of breadth first and depth first search working on a standard formatted search problem. rosalindSolutions.py: Contains the parsing functions and the algorithm calls needed to solve problems of larger size than a typical command line input function. The typical graph is assumed to be in edge list format, and arrays are represented by an order, a newline, and then a string of values.
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Useful algorithms in graph theory, array manipulations, and search
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