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from enum import IntEnum
import os
END = '_end_'
NUM = '_num_'
class TrieMembership(IntEnum):
invalid = 1
prefix = 2
word = 3
def dictionary_gen():
file_name = os.path.relpath(os.path.join("..", "..", "enable1.txt"))
with open(file_name, 'r') as word_list:
for line in word_list:
# capitalize all words for consistency, and strip newline character off the end
yield line.upper().strip()
def make_trie(words):
current_node_number = 0
# start with an empty dictionary
root = dict()
# the base node will be node 0
# each node will have a unique number assigned
# to it that is used for drawing the graph later
root[NUM] = current_node_number
current_node_number += 1
for word in words:
# for each word, the addition of the letter nodes
# needs to start at the root level again
current_dict = root
for letter in word:
# if the node for this letter doesn't exist yet, create
# and empty dictionary there
if letter not in current_dict:
current_dict[letter] = {}
# as the letters get counted, traverse further into the dict
# to add the nodes for all the letters
current_dict = current_dict[letter]
# if this node does not have a number already
# add one and increment the counter
if NUM not in current_dict:
current_dict[NUM] = current_node_number
current_node_number += 1
# add the END key at the deepest node for this word
# to signal that this string is a word.
current_dict[END] = END
return root
ALL_WORD_TRIE = make_trie(word for word in dictionary_gen() if len(word) >= MIN_WORD_LEN)
# This is a cache of all the lookups so far, to speed up repeated queries to the trie.
def trie_member(trie, word):
# try to fetch the membership from the list in memory first.
return TRIE_MEMBERS[word]
# if the word has not been tested already, calculate whether the string
# is not a valid word/prefix, whether it is a prefix to possible words
# or a word itself.
except KeyError:
current_dict = trie
for letter in word:
# attempt to follow the letters through the trie dict
current_dict = current_dict[letter]
except KeyError:
# once a key is not found, this means this word is not in the trie
TRIE_MEMBERS[word] = TrieMembership.invalid
return TRIE_MEMBERS[word]
if END in current_dict:
# If END is found, this string is a full word in our original dictionary
TRIE_MEMBERS[word] = TrieMembership.word
return TRIE_MEMBERS[word]
# If all letters are still in the trie, but this is not a full word,
# it means there are words that start with this string.
TRIE_MEMBERS[word] = TrieMembership.prefix
return TRIE_MEMBERS[word]
def neighbors(x, y):
if not 0 <= x < BOARD_SIZE or not 0 <= y < BOARD_SIZE:
raise ValueError("square not within board")
# x is the x index of the supplied square. To cover squares to
# the left and right, we should go from x-1 to x+1. Because
# the range() function is not inclusive on the upper bound,
# we'll need to go to x+2.
# To prevent returning squares that are outside the board, the
# range should be capped at 0 and BOARD_SIZE.
lower_x = max(0, x - 1)
upper_x = min(x + 2, BOARD_SIZE)
lower_y = max(0, y - 1)
upper_y = min(y + 2, BOARD_SIZE)
for nx in range(lower_x, upper_x):
for ny in range(lower_y, upper_y):
yield (nx, ny)
def recurse_grid_external(grid, full_output=False):
if type(grid) is not list:
raise ValueError("grid must be a list")
for result in recurse_grid_internal(grid, list(), "", ALL_WORD_TRIE, set(), full_output):
yield result
def recurse_grid_internal(grid, path, current_word, words_trie, found_words, full_output=False):
# path should be empty on the initial call
if not path:
# This is the initial call to ensure that a search
# starts from each square in the grid.
for y, row in enumerate(grid):
for x, letter in enumerate(row):
for next_result in recurse_grid_internal(grid,
[(x, y)],
yield next_result
# path is a list of coordinates, so the last one
# in the list is our current position in the grid
current_position = path[-1]
# test to see how our word is contained in the word list
membership = trie_member(words_trie, current_word)
if full_output:
yield (path, current_word, membership)
# We have found a new word from our list and
# should yield the current path and the word
if membership == TrieMembership.word and current_word not in found_words:
if not full_output:
yield (path, current_word, membership)
# If it's not a full word, but a prefix to one or more words in the
# list, continue searching by moving to a neighbor
# and adding that letter to the current word.
if membership >= TrieMembership.prefix:
for nx, ny in neighbors(*current_position):
# the same square can only be used in each word once
if (nx, ny) not in path:
new_letter = grid[ny][nx]
# the Q cube in boggle has QU on it.
new_letter = new_letter if new_letter != 'q' else 'qu'
# add the letter on the newest cube to the current word.
new_word = current_word + new_letter
# continue recursively searching from the next square.
for next_result in recurse_grid_internal(grid,
path + [(nx, ny)],
yield next_result