d9f6e28568406c162b79f582ae037a89a3118d26,prep_model.py,,post_process,#,67
Before Change
with open(log_file_path, "r") as f:
log_file_tail = f.read().splitlines()[log_line_num]
top5_err = re.findall(r"\d+\.\d+", re.findall(r", err-top5=\d+\.\d+", log_file_tail)[0])[0].split(".")[1]
sha1_value = calc_sha1(model_file_path)
dst_model_file_name = "{}-{}-{}.{}".format(model_name, top5_err, sha1_value[:8], dst_model_file_ext)
dst_model_file_path = os.path.join(dst_dir_path, dst_model_file_name)
os.rename(model_file_path, dst_model_file_path)
os.rename(log_file_path, dst_model_file_path + ".log")
After Change
with open(log_file_path, "r") as f:
log_file_tail = f.read().splitlines()[log_line_num]
err5_str = re.findall(r", err-top5=\d+\.\d+", log_file_tail)
if len(err5_str) != 0:
top5_err = re.findall(r"\d+\.\d+", err5_str[0])[0].split(".")[1]
else:
with open(log_file_path, "r") as f:
log_file_tail = f.read().splitlines()[log_line_num - 1]
err5_str = re.findall(r", err-top5=\d+\.\d+", log_file_tail)
top5_err = re.findall(r"\d+\.\d+", err5_str[0])[0].split(".")[1]
sha1_value = calc_sha1(model_file_path)
dst_model_file_name = "{}-{}-{}.{}".format(model_name, top5_err, sha1_value[:8], dst_model_file_ext)
dst_model_file_path = os.path.join(dst_dir_path, dst_model_file_name)
os.rename(model_file_path, dst_model_file_path)
os.rename(log_file_path, dst_model_file_path + ".log")
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances
Project Name: osmr/imgclsmob
Commit Name: d9f6e28568406c162b79f582ae037a89a3118d26
Time: 2021-02-16
Author: osemery@gmail.com
File Name: prep_model.py
Class Name:
Method Name: post_process
Project Name: acl-org/acl-anthology
Commit Name: e17e429183b6cffaf25a525ceb9834c5da86d7f2
Time: 2020-07-03
Author: post@cs.jhu.edu
File Name: bin/ingest.py
Class Name:
Method Name: main
Project Name: acl-org/acl-anthology
Commit Name: da3203cb47df1c583452f671c8e9600214925ff2
Time: 2019-05-30
Author: post@cs.jhu.edu
File Name: bin/add_attachment.py
Class Name:
Method Name: main