Datasets:
Download maze/task3/eval.py from AnonyCAD/VSP: direct link, hf CLI and curl.
- Browser
- Download file 3.43 kB
-
https://huggingface.co/datasets/AnonyCAD/VSP/resolve/main/maze/task3/eval.py
- Command line
-
hf download hf://datasets/AnonyCAD/VSP/maze/task3/eval.py
-
curl -L -o eval.py https://huggingface.co/datasets/AnonyCAD/VSP/resolve/main/maze/task3/eval.py
3.43 kB
| # 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] | |
| # import ipdb; ipdb.set_trace() | |
| for level in levels: | |
| # level = 3 | |
| count = 0 | |
| correct = 0 | |
| invalid = 0 | |
| gt_answer_dir = "../maps/level%d/answer/"%(level) | |
| check_answer_dir = "output/output_img/level%d/"%(level) | |
| 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>"):] | |
| if answer_index == -1: | |
| answer_index = contents.find("**Answer") | |
| answer = contents[answer_index+len("**Answer"):] | |
| if answer_index == -1: | |
| answer_index = contents.find("Answer") | |
| answer = contents[answer_index+len("Answer"):] | |
| answer = answer.replace('"', '') | |
| answer = answer.replace('*', '') | |
| answer = answer.replace(':', '') | |
| answer = answer.replace("'", '') | |
| answer = answer.replace("\n", '') | |
| answer = answer.replace(".", '') | |
| answer = answer.replace("(", '') | |
| answer = answer.replace(")", '') | |
| answer = answer.replace("<", '') | |
| answer = answer.replace(">", '') | |
| answer = answer.replace("`", '') | |
| answer = answer.lstrip() | |
| answer = answer.rstrip() | |
| # import ipdb; ipdb.set_trace() | |
| assert answer in ['A', 'B', 'C', 'D'] | |
| # pass | |
| # else: | |
| # assert | |
| # if 'A' in answer and 'B' not in answer and 'C' not in answer and 'D' not in answer: | |
| # answer = 'A' | |
| # elif 'B' in answer and 'C' not in answer and 'D' not in answer: | |
| # answer = 'B' | |
| # elif 'C' in answer and 'D' not in answer: | |
| # answer = 'C' | |
| # elif 'D' in answer: | |
| # answer = 'D' | |
| # parse GT from recorded file | |
| gt_path = gt_answer_dir + "%d.txt"%(test_id) | |
| with open(gt_path, "r") as f: | |
| contents = f.read() | |
| rows = contents.split('\n') | |
| assert len(rows) == 5 | |
| gt = int(rows[-1]) | |
| key_dict = {0: 'A', 1: 'B', 2: 'C', 3:'D'} | |
| gt = key_dict[gt] | |
| if answer == gt: | |
| correct += 1 | |
| # else: | |
| # print(answer, test_id) | |
| count += 1 | |
| except: | |
| # print(test_id) | |
| # import ipdb; ipdb.set_trace() | |
| invalid += 1 | |
| count += 1 | |
| pass | |
| print("------Level %d-------"%(level)) | |
| print("Total tested: %d"%(count)) | |
| print("Total correct: %d"%(correct)) | |
| print("Total invalid: %d"%(invalid)) | |