#!/usr/bin/env python # coding: utf-8 # This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges). # # Challenge Notebook # ## Problem: Implement a trie with find, insert, remove, and list_words methods. # # * [Constraints](#Constraints) # * [Test Cases](#Test-Cases) # * [Algorithm](#Algorithm) # * [Code](#Code) # * [Unit Test](#Unit-Test) # * [Solution Notebook](#Solution-Notebook) # ## Constraints # # * Can we assume we are working with strings? # * Yes # * Are the strings in ASCII? # * Yes # * Should `find` only match exact words with a terminating character? # * Yes # * Should `list_words` only return words with a terminating character? # * Yes # * Can we assume this fits memory? # * Yes # ## Test Cases # #
# 
#          root
#        /  |  \
#       h   a*  m
#      / \   \   \
#     a   e*  t*  e*
#    / \         / \
#   s*  t*      n*  t*
#              /
#             s*
# 
# find
# 
# * Find on an empty trie
# * Find non-matching
# * Find matching
# 
# insert
# 
# * Insert on empty trie
# * Insert to make a leaf terminator char
# * Insert to extend an existing terminator char
# 
# remove
# 
# * Remove me
# * Remove mens
# * Remove a
# * Remove has
# 
# list_words
# 
# * List empty
# * List general case
# 
# # # ## Algorithm # # Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/trie/trie_solution.ipynb). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start. # ## Code # In[ ]: from collections import OrderedDict class Node(object): def __init__(self, data, parent=None, terminates=False): # TODO: Implement me pass class Trie(object): def __init__(self): # TODO: Implement me pass def find(self, word): # TODO: Implement me pass def insert(self, word): # TODO: Implement me pass def remove(self, word): # TODO: Implement me pass def list_words(self): # TODO: Implement me pass # ## Unit Test # **The following unit test is expected to fail until you solve the challenge.** # In[ ]: # %load test_trie.py import unittest class TestTrie(unittest.TestCase): def test_trie(self): trie = Trie() print('Test: Insert') words = ['a', 'at', 'has', 'hat', 'he', 'me', 'men', 'mens', 'met'] for word in words: trie.insert(word) for word in trie.list_words(): self.assertTrue(trie.find(word) is not None) print('Test: Remove me') trie.remove('me') words_removed = ['me'] words = ['a', 'at', 'has', 'hat', 'he', 'men', 'mens', 'met'] for word in words: self.assertTrue(trie.find(word) is not None) for word in words_removed: self.assertTrue(trie.find(word) is None) print('Test: Remove mens') trie.remove('mens') words_removed = ['me', 'mens'] words = ['a', 'at', 'has', 'hat', 'he', 'men', 'met'] for word in words: self.assertTrue(trie.find(word) is not None) for word in words_removed: self.assertTrue(trie.find(word) is None) print('Test: Remove a') trie.remove('a') words_removed = ['a', 'me', 'mens'] words = ['at', 'has', 'hat', 'he', 'men', 'met'] for word in words: self.assertTrue(trie.find(word) is not None) for word in words_removed: self.assertTrue(trie.find(word) is None) print('Test: Remove has') trie.remove('has') words_removed = ['a', 'has', 'me', 'mens'] words = ['at', 'hat', 'he', 'men', 'met'] for word in words: self.assertTrue(trie.find(word) is not None) for word in words_removed: self.assertTrue(trie.find(word) is None) print('Success: test_trie') def test_trie_remove_invalid(self): print('Test: Remove from empty trie') trie = Trie() self.assertTrue(trie.remove('foo') is None) def main(): test = TestTrie() test.test_trie() test.assertRaises(KeyError, test.test_trie_remove_invalid) if __name__ == '__main__': main() # ## Solution Notebook # # Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/trie/trie_solution.ipynb) for a discussion on algorithms and code solutions.