download
raw
634 Bytes
from yacs.config import CfgNode as CN
cfg = CN()
cfg.model_name = "gpt-4o"
# 阶跃
# cfg.api_key = "ak-83f4a216c9b7e5d0n48m2p9k3l7x4c2"
cfg.api_key = "ak-58d7efgh23i4jkl67mno89pqrs01tuv6k5"
# cfg.api_key = "ak-63d1efgh47i8jkl26mno95pqrs34tuv7x2"
cfg.api_base = "https://models-proxy.stepfun-inc.com/v1"
# one-cool
# cfg.api_key = "ak-58d7efgh23i4jkl67mno89pqrs01tuv6k5"
# cfg.api_base = "https://models-proxy.stepfun-inc.com/v1"
cfg.dataset_name = "ours"
cfg.tests_path = 'C:\\Users\\19307\Desktop\\TestCase-Gen\\saved_tests\\lcb\\lcbtests-{}-{}.json'
cfg.log_file = "log-leetcodedataset-{}.txt"
cfg.batch = 0

Xet Storage Details

Size:
634 Bytes
·
Xet hash:
dc6db144b04a554ef069cadef4819c99c8817389ab41e390e93bc19df6152c25

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.