Datasets:
Download maze/task2/eval.py from AnonyCAD/VSP: direct link, hf CLI and curl.
- Browser
- Download file 3.47 kB
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https://huggingface.co/datasets/AnonyCAD/VSP/resolve/main/maze/task2/eval.py
- Command line
-
hf download hf://datasets/AnonyCAD/VSP/maze/task2/eval.py
-
curl -L -o eval.py https://huggingface.co/datasets/AnonyCAD/VSP/resolve/main/maze/task2/eval.py
3.47 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 | |
| count = 0 | |
| full_correct = 0 | |
| part_correct = 0 | |
| invalid = 0 | |
| level = 8 | |
| check_map_dir = "../../maps/level%d_text/"%(level) | |
| check_answer_dir = "output/output_img/" | |
| def find_symbol(map, symbol): | |
| # return a list indicating the coordinates of the symbol | |
| # e.g., [1, 2] = (row1, col2), all 0-index | |
| results = [] | |
| for i in range(len(map)): | |
| for j in range(len(map)): | |
| if map[i][j] == symbol: | |
| results.append([i, j]) | |
| return results | |
| # import ipdb; ipdb.set_trace() | |
| for test_id in range(100): | |
| # print(test_id) | |
| # map | |
| with open(check_map_dir + '%d.txt'%(test_id), 'r') as f: | |
| contents = f.read() | |
| rows = contents.split('\n') | |
| # answer | |
| player_pos = find_symbol(rows, 'S')[0] | |
| goal_pos = find_symbol(rows, 'G')[0] | |
| answer_set = set() | |
| if player_pos[0] > goal_pos[0]: | |
| answer_set.add('Below') | |
| elif player_pos[0] < goal_pos[0]: | |
| answer_set.add('Above') | |
| if player_pos[1] > goal_pos[1]: | |
| answer_set.add('Right') | |
| elif player_pos[1] < goal_pos[1]: | |
| answer_set.add('Left') | |
| count += len(answer_set) | |
| try: | |
| # action | |
| with open(check_answer_dir + 'level%d/%d.txt'%(level, test_id), 'r') as f: | |
| contents = f.read() | |
| answer_index = contents.find('<Output> ') | |
| if answer_index == -1: | |
| answer_index = contents.find('<Output>\n') | |
| # if answer_index == -1: | |
| # answer_index = contents.find('<Ouput> ') | |
| # if answer_index == -1: | |
| # answer_index = contents.find('<Ouput>\n') | |
| # if answer_index == -1: | |
| # answer_index = contents.find('## Output ') | |
| # if answer_index == -1: | |
| # answer_index = contents.find('## Output\n') | |
| if answer_index == -1: | |
| assert 0 | |
| answer = contents[answer_index+9:] | |
| answer = answer.split(',') | |
| for answer_index in range(len(answer)): | |
| answer[answer_index] = answer[answer_index].replace('"', '') | |
| answer[answer_index] = answer[answer_index].replace("'", '') | |
| answer[answer_index] = answer[answer_index].replace("\n", '') | |
| answer[answer_index] = answer[answer_index].replace(".", '') | |
| answer[answer_index] = answer[answer_index].replace("*", '') | |
| answer[answer_index] = answer[answer_index].lstrip() | |
| answer[answer_index] = answer[answer_index].rstrip() | |
| # temp = env.render() | |
| # import ipdb; ipdb.set_trace() | |
| # import ipdb; ipdb.set_trace() | |
| ALL_CORR = True | |
| for answer_char in answer_set: | |
| if answer_char in answer: | |
| part_correct += 1 | |
| else: | |
| ALL_CORR = False | |
| # print(test_id) | |
| if ALL_CORR: | |
| full_correct += 1 | |
| except: | |
| # If not | |
| # count += 1 | |
| invalid += 1 | |
| print(test_id) | |
| # import ipdb; ipdb.set_trace() | |
| pass | |
| print("Total tested: %d"%(count)) | |
| print("Part correct: %d"%(part_correct)) | |
| print("Each correct rate: %f"%(part_correct / count)) | |
| print("Full correct: %d"%(full_correct)) | |
| print("Invalid: %d"%(invalid)) | |