kleister-nda/run.py
2022-05-05 16:31:55 +02:00

38 lines
1.4 KiB
Python

import re
states = [
'Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'Florida',
'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine',
'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska',
'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio',
'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas',
'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming'
]
def count_strings(text_in, search_str):
pattern = re.compile(search_str)
return len(pattern.findall(text_in, re.IGNORECASE))
def predict_state(text):
state_dict = {}
for state in states:
state_dict[state.replace(" ", "_")] = count_strings(text, state)
return max(state_dict, key=state_dict.get)
def get_jurisdiction(file_in, file_out):
with open(file_in, 'r', encoding='utf8') as file_in:
lines = file_in.readlines()
with open(file_out, 'wt') as file_out:
for line in lines:
file_out.write("jurisdiction=" + str(predict_state(line)) + '\n')
file_out.close()
get_jurisdiction('dev-0/in.tsv', 'dev-0/out.tsv')
get_jurisdiction('train/in.tsv', 'train/out.tsv')
get_jurisdiction('test-A/in.tsv', 'test-A/out.tsv')