# test tokenizer encode & decode consistency
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('/apdcephfs/share_1502809/shaneshu/tokenizer_exp/other_tokenizer_vocab/hy', local_files_only=True, trust_remote_code=True)

test_data = [line.strip() for line in open('/apdcephfs/share_1502809/shaneshu/tokenizer_exp/data/test.txt', 'r').readlines()]

num_origi_len = 0
num_token_len = 0

for d in test_data:
    a = tokenizer.encode(d)
    num_origi_len += len(d)
    num_token_len += len(a)
    b = tokenizer.decode(a)
    assert b == d, f"encode & decode not consistent: {d} vs {b}"
    
print(f" original length: {num_origi_len}")
print(f" token length: {num_token_len}")