# Copyright 2023 BentoML Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from __future__ import annotations
import os
import typing as t

import pytest

if t.TYPE_CHECKING:
  import openllm

@pytest.mark.skipif(os.getenv("GITHUB_ACTIONS") is not None, reason="Model is too large for CI")
def test_flan_t5_implementation(prompt: str, llm: openllm.LLM[t.Any, t.Any]):
  assert llm(prompt)

  assert llm(prompt, temperature=0.8, top_p=0.23)

@pytest.mark.skipif(os.getenv("GITHUB_ACTIONS") is not None, reason="Model is too large for CI")
def test_opt_implementation(prompt: str, llm: openllm.LLM[t.Any, t.Any]):
  assert llm(prompt)

  assert llm(prompt, temperature=0.9, top_k=8)

@pytest.mark.skipif(os.getenv("GITHUB_ACTIONS") is not None, reason="Model is too large for CI")
def test_baichuan_implementation(prompt: str, llm: openllm.LLM[t.Any, t.Any]):
  assert llm(prompt)

  assert llm(prompt, temperature=0.95)