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Bugfix unicode compatibility #30

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11 changes: 6 additions & 5 deletions codes/run.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
import logging
import os
import random
import unicodedata

import numpy as np
import torch
Expand Down Expand Up @@ -123,7 +124,7 @@ def read_triple(file_path, entity2id, relation2id):
triples = []
with open(file_path) as fin:
for line in fin:
h, r, t = line.strip().split('\t')
h, r, t = map(lambda x: x.strip(), unicodedata.normalize('NFKC', line).split('\t'))
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str.strip could be a shorter replacement for lambda x: x.strip()

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Thanks, didn't realize this was possible.

triples.append((entity2id[h], relation2id[r], entity2id[t]))
return triples

Expand Down Expand Up @@ -160,12 +161,12 @@ def log_metrics(mode, step, metrics):

def main(args):
if (not args.do_train) and (not args.do_valid) and (not args.do_test):
raise ValueError('one of train/val/test mode must be choosed.')
raise ValueError('one of train/val/test mode must be chosen.')

if args.init_checkpoint:
override_config(args)
elif args.data_path is None:
raise ValueError('one of init_checkpoint/data_path must be choosed.')
raise ValueError('one of init_checkpoint/data_path must be chosen.')

if args.do_train and args.save_path is None:
raise ValueError('Where do you want to save your trained model?')
Expand All @@ -179,13 +180,13 @@ def main(args):
with open(os.path.join(args.data_path, 'entities.dict')) as fin:
entity2id = dict()
for line in fin:
eid, entity = line.strip().split('\t')
eid, entity = map(lambda x: x.strip(), unicodedata.normalize('NFKC', line).split('\t'))
entity2id[entity] = int(eid)

with open(os.path.join(args.data_path, 'relations.dict')) as fin:
relation2id = dict()
for line in fin:
rid, relation = line.strip().split('\t')
rid, relation = map(lambda x: x.strip(), unicodedata.normalize('NFKC', line).split('\t'))
relation2id[relation] = int(rid)

# Read regions for Countries S* datasets
Expand Down