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# read a map, receive a solution, determine if the solution reaches the goal
import gym
from gym.envs.toy_text.frozen_lake import generate_random_map
import random
import os
import numpy as np
# from PIL import Image
levels = [3,4,5,6,7,8]
for level in levels:
count = 0
correct = 0
invalid = 0
yes_c = 0
yes_w = 0
gt_answer_dir = "maps/level%d/answer/"%(level)
check_answer_dir = "output/output_pure_text/level%d/"%(level)
# import ipdb; ipdb.set_trace()
for test_id in range(100):
try:
# parse answer from the output
output_path = check_answer_dir + "%d.txt"%(test_id)
with open(output_path, "r") as f:
contents = f.read()
answer_index = contents.find("<Output>")
answer = contents[answer_index+len("<Output>"):]
# if answer_index == -1:
# answer_index = contents.find("Answer:")
# answer = contents[answer_index+len("Answer:"):]
answer = answer.replace('"', '')
answer = answer.replace("'", '')
answer = answer.replace("\n", '')
answer = answer.replace(".", '')
answer = answer.replace("(", '')
answer = answer.replace(")", '')
answer = answer.lstrip()
answer = answer.rstrip()
answer = answer.lower()
# import ipdb; ipdb.set_trace()
assert answer in ['yes', 'no']
# import ipdb; ipdb.set_trace()
# parse GT from recorded file
gt_path = gt_answer_dir + "%d.txt"%(test_id)
with open(gt_path, "r") as f:
gt = f.read()
key_dict = {'Y': 'yes', 'N': 'no'}
gt = key_dict[gt]
if answer == gt:
correct += 1
if answer == 'yes':
yes_c += 1
else:
if answer == 'yes':
yes_w += 1
count += 1
# print(answer)
except:
# import ipdb; ipdb.set_trace()
invalid += 1
count += 1
pass
# print(yes_c)
# print(yes_w)
print("=====Curr Level: %d======"%(level))
print("Total tested: %d"%(count))
print("Total correct: %d"%(correct))
print("Total invalid: %d"%(invalid))
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