| from geopy.distance import geodesic |
| import re |
|
|
| def find_first_digit(s): |
| for char in s: |
| if char.isdigit(): |
| return char |
| return None |
|
|
| def find_option_number(response, label, error_writer): |
| predicted = find_first_digit(response) |
| if predicted!=None: |
| if predicted==str(label)[0]: |
| return 1 |
| else: |
| return 0 |
| else: |
| error_writer.write("### response:{}, answer:{} ###\n".format(response, label)) |
| return None |
|
|
| def trajectory_classification(response, label, error_writer): |
| pattern = r'car|bike|bicycle|pedestrian' |
| mapping = {'car': 1, 'bike': 2, 'bicycle':2, 'pedestrian': 3} |
| match = re.search(pattern, response, flags=re.I) |
| if match: |
| predicted = match.group() |
| predicted = mapping[predicted] |
| if predicted==label: |
| return 1 |
| else: |
| return 0 |
| else: |
| error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label)) |
| return None |
|
|
| def find_option_number_for_cot(response, label, error_writer): |
| pattern = r'\((\d+)\)' |
| match = re.search(pattern, response, flags=re.I) |
| if match: |
| predicted = match.group(1) |
| if predicted==str(label)[0]: |
| return 1 |
| else: |
| return 0 |
| else: |
| error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label)) |
| return None |
|
|
| def yes_or_no(response, label, error_writer): |
| pattern = r'Yes|No' |
| match = re.search(pattern, response, flags=re.I) |
| if match: |
| predicted = match.group() |
| predicted = predicted.title() |
| if predicted==label: |
| return 1 |
| else: |
| return 0 |
| else: |
| error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label)) |
| return None |
|
|
| def anomaly_detection(response, label, error_writer): |
| pattern = r'Normal|Anomalous|Anomaly|Abnormal' |
| match = re.search(pattern, response, flags=re.I) |
| if match: |
| predicted = match.group() |
| predicted = predicted.title() |
| if predicted=="Abnormal" or predicted=="Anomaly": |
| predicted=="Anomalous" |
| if predicted==label: |
| return 1 |
| else: |
| return 0 |
| else: |
| error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label)) |
| return None |
|
|
| def extract_floats(input_string): |
| floats = re.findall(r'\d+\.\d+', input_string) |
| if len(floats) >= 2: |
| return float(floats[0]), float(floats[1]) |
| else: |
| return None |
|
|
| def calculate_distance(coord1, coord2): |
| distance = geodesic([coord2[1], coord2[0]], [coord1[1], coord1[0]]).meters |
| return distance |
|
|
| def trajectory_prediction(response, label, error_writer): |
| lon, lat = extract_floats(response) |
| distance = calculate_distance([lon, lat], label) |
| if distance>=100000: |
| error_writer.write("### response:{}, answer:{} ###\n".format(response, label)) |
| return None |
| return distance |
|
|
