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process_humaneval.py
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process_humaneval.py
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from human_eval.data import read_problems, write_jsonl, stream_jsonl
import glob
from tqdm import tqdm
import argparse
parser = argparse.ArgumentParser()
# Inputs
parser.add_argument(
'--path',
type=str,
help="")
parser.add_argument(
'--out_path',
type=str,
help="")
parser.add_argument(
'--add_prompt',
action='store_true',
help='')
args = parser.parse_args()
files = sorted(glob.glob(args.path + '/*.jsonl'))
print("{} files in {}".format(len(files), args.path))
problems = read_problems()
output = []
a = 0
for code_file in tqdm(files, total=len(files)):
codes = [c for c in stream_jsonl(code_file)]
if args.add_prompt:
for code in codes:
task_id = code['task_id']
prompt = problems[task_id]['prompt']
completion = code['completion']
completion = completion.replace("\r", "")
if '```python' in completion:
def_line = completion.index('```python')
completion = completion[def_line:].strip()
completion = completion.replace('```python', '')
# print(completion)
try:
next_line = completion.index('```')
completion = completion[:next_line].strip()
except:
a += 1
print(completion)
print("================\n")
# print(completion)
if "__name__ == \"__main__\"" in completion:
next_line = completion.index('if __name__ == "__main__":')
completion = completion[:next_line].strip()
# print(completion)
if "# Example usage" in completion:
# print(completion)
next_line = completion.index('# Example usage')
completion = completion[:next_line].strip()
code['completion'] = completion
output += codes
print("save to {}".format(args.out_path))
write_jsonl(args.out_path, output)
print(a)