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import os
import sys

from tensorrt_llm.models.modeling_utils import PretrainedConfig

sys.path.append(os.path.dirname(__file__))
from utils.runtime_defaults import assert_runtime_defaults_are_parsed_correctly


def test_pretrained_config_parses_runtime_defaults_correctly():
    assert_runtime_defaults_are_parsed_correctly(
        lambda defaults: PretrainedConfig.from_dict(
            {
                'architecture': 'DeciLMForCausalLM',
                'dtype': 'float16',
                'num_hidden_layers': 2,
                'num_attention_heads': 12,
                'hidden_size': 768,
                'vocab_size': 51200,
                'max_position_embeddings': 1024,
                'runtime_defaults': defaults,
            }).runtime_defaults)