Has Path Approach

In this lesson, Alvin explores the strategy to solving the following interview problem:

Write a function, has_path, that takes in a dictionary representing the adjacency list of a directed acyclic graph and two nodes (_src_, dst). The function should return a boolean indicating whether or not there exists a directed path between the source and destination nodes.

graph = {
'f': ['g', 'i'],
'g': ['h'],
'h': [],
'i': ['g', 'k'],
'j': ['i'],
'k': []
}

has_path(graph, 'f', 'k') # True

graph = {
'f': ['g', 'i'],
'g': ['h'],
'h': [],
'i': ['g', 'k'],
'j': ['i'],
'k': []
}

has_path(graph, 'f', 'j') # False

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