import pytest

from aphrodite.common.sampling_params import SamplingParams
from aphrodite.endpoints.llm import LLM


@pytest.mark.parametrize("model", ["facebook/opt-125m"])
def test_skip_tokenizer_initialization(model: str):
    # This test checks if the flag skip_tokenizer_init skips the initialization
    # of tokenizer and detokenizer. The generated output is expected to contain
    # token ids.
    llm = LLM(model=model, skip_tokenizer_init=True)
    sampling_params = SamplingParams(prompt_logprobs=True, detokenize=True)
    with pytest.raises(ValueError) as err:
        llm.generate("abc", sampling_params)
    assert "prompts must be None if" in str(err.value)
    outputs = llm.generate({"prompt_token_ids": [1, 2, 3]},
                           sampling_params=sampling_params)
    assert len(outputs) > 0
    completions = outputs[0].outputs
    assert len(completions) > 0
    assert completions[0].text == ""
    assert completions[0].token_ids