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simulation_wordle4.py
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simulation_wordle4.py
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"""
1. generate a first word from the list(first_）
2. use the judge function to judge wheter each letter is present or absent; and record the data in a list
3. use the history data(output from judge functiom to narraw the position words list. # words_filter
4. record how many time we can find the answer
"""
# score function ---------------------------------------- Kanwal
def bestguess(wordlist, wordscore):
maxword = wordlist[0]
maxscore = wordscore[maxword]
for word in wordlist:
if wordscore[word] > maxscore:
maxscore = wordscore[word]
maxword = word
return maxword
# -------------------------------------------------------- Kanwal
# score function using letters --------------------------- Kanwal
def bestguesswletter(wordlist, locs, unused, wordscore, letterloc):
# locs is a list like [2,3] that says the indexes (starting at 0) of the
# locations that are not certain. For example, if we know the word is G_ESS,
# then loc = [1]
# I wasn't sure how you were storing letters that hadn't been guessed yet,
# or so I am representing it as the list unused
# find highest probability letter + location
maxloc = locs[0]
maxletter = unused[0]
maxletscore = letterloc[maxloc][maxletter]
for i in locs:
for letter in unused:
if letterloc[i][letter] > maxletscore:
maxloc = i
maxletter = letter
maxletscore = letterloc[i][letter]
bestwords = []
for word in wordlist:
if word[maxloc] == maxletter:
bestwords.append(word)
if len(bestwords) > 0:
maxword = bestguess(bestwords, wordscore)
else:
maxword = bestguess(wordlist, wordscore)
return maxword
# -------------------------------------------------------- Kanwal
def find_locs(record_):
locs_op = []
for element in list(record_.values()):
if type(element) is list:
for i in element:
if type(i) is int:
locs_op.append(i-1)
locs = list(set(list(range(5))).difference(set(locs_op)))
return locs
# generate a random word from the word list
from wordlewords import La as wordlist
from filter import words_filter
from judge import judge
import json
# read first.txt to contruct first_
first_ = []
with open('first.txt', 'r') as f:
for line in f:
first_.append(line.strip('\n'))
first_ = first_[350:]
# additional loop to create simple score dictionary ----- Kanwal
lettercount = {}
wordscore = {}
for word in wordlist:
for letter in word:
if letter in list(lettercount.keys()):
lettercount[letter] += 1
else:
lettercount[letter] = 1
lettersum = sum(list(lettercount.values()))
for letter in list(lettercount.keys()):
lettercount[letter] = lettercount[letter] / lettersum
for word in wordlist:
wordscore[word] = 0
for letter in word:
wordscore[word] = wordscore[word] + lettercount[letter]
# -------------------------------------------------------- Kanwal
# what if we also weighted letters based on posiiton? ---- Kanwal
letterloc = [{}] * 5
for word in wordlist:
for i in range(len(word)):
letter = word[i]
if letter in list(letterloc[i].keys()):
letterloc[i][letter] += 1
else:
letterloc[i][letter] = 1
# -------------------------------------------------------- Kanwal
letter26 = [] #letter26 consists all letters. use it to construct the unused
for i in range(ord('a'),ord('z')+1):
letter26.append(chr(i))
guess_list = []
record_ = dict()
ana = dict()
for guess1 in first_:
for answer in wordlist:
guess = guess1
while guess != answer:
judge(guess, answer, record_, guess_list)
first_ = words_filter(record_, wordlist)
unused = list(set(letter26).difference(set(list(record_.keys()))))
locs = find_locs(record_)
guess = bestguesswletter(first_, locs, unused, wordscore, letterloc)
judge(guess, answer, record_, guess_list)
ana.setdefault(guess1, [])
time = len(guess_list)
ana[guess1].append(time)
guess_list = []
record_ = dict()
# write ana into a json file
js = json.dumps(ana)
fileObject = open('ana750_.json', 'w')
fileObject.write(js)
fileObject.close()