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import os
from huggingface_hub import HfApi
# clone / pull the lmeh eval data
HF_TOKEN = os.environ.get("HF_TOKEN", None)
DATA_VERSION = "v0.1.0_hf"
REPO_ID = "bigcode/bigcodebench-leaderboard"
QUEUE_REPO = "bigcode/bigcodebench-requests"
DATA_REPO = "bigcode/bigcodebench"
RESULT_REPO = "bigcode/bigcodebench-results"
HARD_RESULT_REPO = "bigcode/bigcodebench-hard-results"
ELO_REPO = "bigcode/bigcodebench-elo"
HARD_ELO_REPO = "bigcode/bigcodebench-hard-elo"
SOLVE_REPO = "bigcode/bigcodebench-solve-rate"
HARD_SOLVE_REPO = "bigcode/bigcodebench-hard-solve-rate"
VOTES_REPO = "bigcode/bigcodebench-votes"
HF_HOME = os.getenv("HF_HOME", ".")
# Check HF_HOME write access
print(f"Initial HF_HOME set to: {HF_HOME}")
if not os.access(HF_HOME, os.W_OK):
print(f"No write access to HF_HOME: {HF_HOME}. Resetting to current directory.")
HF_HOME = "."
os.environ["HF_HOME"] = HF_HOME
else:
print("Write access confirmed for HF_HOME")
VOTES_PATH = os.path.join(HF_HOME, "model-votes")
EVAL_REQUESTS_PATH = os.path.join(HF_HOME, "eval-queue")
# Rate limit variables
RATE_LIMIT_PERIOD = 7
RATE_LIMIT_QUOTA = 5
HAS_HIGHER_RATE_LIMIT = []
API = HfApi(token=HF_TOKEN)
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