mirror of
https://github.com/bentoml/OpenLLM.git
synced 2026-02-18 14:47:30 -05:00
cfd09bfc47
update openai client examples to >1 Signed-off-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
46 lines
1.5 KiB
Python
Executable File
46 lines
1.5 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
from __future__ import annotations
|
|
import itertools
|
|
import os
|
|
import token
|
|
import tokenize
|
|
|
|
from tabulate import tabulate
|
|
|
|
TOKEN_WHITELIST = [token.OP, token.NAME, token.NUMBER, token.STRING]
|
|
|
|
|
|
def run_cz(dir: str, package: str):
|
|
headers = ['Name', 'Lines', 'Tokens/Line']
|
|
table = []
|
|
for path, _, files in os.walk(os.path.join(dir, 'src', package)):
|
|
for name in files:
|
|
if not name.endswith('.py'):
|
|
continue
|
|
filepath = os.path.join(path, name)
|
|
with tokenize.open(filepath) as file_:
|
|
tokens = [t for t in tokenize.generate_tokens(file_.readline) if t.type in TOKEN_WHITELIST]
|
|
token_count, line_count = len(tokens), len(set([t.start[0] for t in tokens]))
|
|
table.append([filepath.replace(os.path.join(dir, 'src'), ''), line_count, token_count / line_count if line_count != 0 else 0])
|
|
print(f'\n{"=" * 80}\n')
|
|
print(tabulate([headers, *sorted(table, key=lambda x: -x[1])], headers='firstrow', floatfmt='.1f') + '\n')
|
|
print(
|
|
tabulate(
|
|
[(dir_name, sum([x[1] for x in group])) for dir_name, group in itertools.groupby(sorted([(x[0].rsplit('/', 1)[0], x[1]) for x in table]), key=lambda x: x[0])],
|
|
headers=['Directory', 'LOC'],
|
|
floatfmt='.1f',
|
|
)
|
|
)
|
|
print(f'total line count for {package}: {sum([x[1] for x in table])}\n')
|
|
|
|
|
|
def main() -> int:
|
|
run_cz('openllm-python', 'openllm')
|
|
run_cz('openllm-core', 'openllm_core')
|
|
run_cz('openllm-client', 'openllm_client')
|
|
return 0
|
|
|
|
|
|
if __name__ == '__main__':
|
|
raise SystemExit(main())
|