andrewtremblay

import nltk
all_words = nltk.corpus.words.words()
print len(all_words), "total words loaded"  

jumbled_letters = "andrewtremblay"

letter_distribution = nltk.FreqDist(jumbled_letters) 
matching_wordlist = [w.lower() for w in all_words if nltk.FreqDist(w) <= letter_distribution]

andrewtremblay

import nltk

all_words = nltk.corpus.words.words()
print len(all_words), "total words loaded" 

andrewtremblay

import nltk
all_words = nltk.corpus.words.words()

jumbled_letters = "andrewtremblay"
anagram_results = []

len_full_phrase = len(jumbled_letters)

letter_distribution = nltk.FreqDist(jumbled_letters)
trimmed_lowercase_wordlist = [w.lower() for w in all_words if len(w) <= len_full_phrase]

andrewtremblay

// Assumes consistent file names accross all image sequences (mine are zero-indexed and padded to five digits)
// mainCharacter.atlas
// - idleLoop_00000.png
// - idleLoop_00001.png
// - ...
// - walkLoop_00000.png
// - walkLoop_00001.png
// - ...