Karma Riuk a362aba344 added a simple caching of the requests to make it ...

much quicker to fail and restart

2025-04-01 10:14:45 +02:00

.gitignore

Initial commit

2025-02-17 11:38:35 +01:00

clone_repos.py

using expections to interrupt the flow of

2025-03-14 16:10:54 +01:00

dataset.py

now using normal names

2025-03-31 15:32:18 +02:00

errors.py

now using only the new datset version

2025-03-31 14:25:17 +02:00

ghs_repos.csv.gz

renamed file

2025-02-28 11:46:38 +01:00

gpt.py

first version of gpt

2025-02-28 11:12:07 +01:00

gradle.Dockerfile

fixed docker files

2025-03-01 17:16:58 +01:00

handlers.py

now using only the new datset version

2025-03-31 14:25:17 +02:00

maven.Dockerfile

fixed docker files

2025-03-01 17:16:58 +01:00

optional-requirments.txt

added a simple caching of the requests to make it

2025-04-01 10:14:45 +02:00

pull_requests.py

added a simple caching of the requests to make it

2025-04-01 10:14:45 +02:00

requirements.txt

added javalang to requriements

2025-03-23 09:27:59 +01:00

sample.csv

first version of gpt

2025-02-28 11:12:07 +01:00

stats_pull_requests.py

extracted function to utils

2025-03-14 14:04:41 +01:00

utils.py

made clone use raising expections instead of updates

2025-03-31 13:21:04 +02:00

Description

The code to generate the dataset for the benchmark of my Master's Thesis CRAB: Code Review Automated Benchmark

2.4 MiB

Languages

Python 97.8%

Dockerfile 1.1%

Shell 1.1%