




import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__    			=			logging.get_logger(__name__)

UpperCamelCase__    			=			{
    """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json""",
}
class 			a__    (					snake_case__      ):
						_a							:    List[Any]					=    """mvp"""
						_a							:    Any					=    ["""past_key_values"""]
						_a							:    Any					=    {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}






						def __init__(   self		,			_A=5_0_2_6_7		,			_A=1_0_2_4		,			_A=1_2		,			_A=4_0_9_6		,			_A=1_6		,			_A=1_2		,			_A=4_0_9_6		,			_A=1_6		,			_A=0.0		,			_A=0.0		,			_A="gelu"		,			_A=1_0_2_4		,			_A=0.1		,			_A=0.0		,			_A=0.0		,			_A=0.02		,			_A=0.0		,			_A=False		,			_A=True		,			_A=1		,			_A=0		,			_A=2		,			_A=True		,			_A=2		,			_A=2		,			_A=False		,			_A=1_0_0		,			_A=8_0_0		,			**_A		,			):




											"""simple docstring"""



											__lowerCAmelCase				   =       vocab_size
											__lowerCAmelCase				   =       max_position_embeddings
											__lowerCAmelCase				   =       d_model
											__lowerCAmelCase				   =       encoder_ffn_dim
											__lowerCAmelCase				   =       encoder_layers
											__lowerCAmelCase				   =       encoder_attention_heads
											__lowerCAmelCase				   =       decoder_ffn_dim
											__lowerCAmelCase				   =       decoder_layers
											__lowerCAmelCase				   =       decoder_attention_heads
											__lowerCAmelCase				   =       dropout
											__lowerCAmelCase				   =       attention_dropout
											__lowerCAmelCase				   =       activation_dropout
											__lowerCAmelCase				   =       activation_function
											__lowerCAmelCase				   =       init_std
											__lowerCAmelCase				   =       encoder_layerdrop
											__lowerCAmelCase				   =       decoder_layerdrop
											__lowerCAmelCase				   =       classifier_dropout
											__lowerCAmelCase				   =       use_cache
											__lowerCAmelCase				   =       encoder_layers
											__lowerCAmelCase				   =       scale_embedding  # scale factor will be sqrt(d_model) if True
											__lowerCAmelCase				   =       use_prompt
											__lowerCAmelCase				   =       prompt_length
											__lowerCAmelCase				   =       prompt_mid_dim

											super().__init__(
											    pad_token_id=_A		,			bos_token_id=_A		,			eos_token_id=_A		,			is_encoder_decoder=_A		,			decoder_start_token_id=_A		,			forced_eos_token_id=_A		,			**_A		,			)

											if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"		,			_A			):
																__lowerCAmelCase				   =       self.bos_token_id
																warnings.warn(
																    f"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
																    "The config can simply be saved and uploaded again to be fixed."			)










import pytest

from datasets import inspect_metric, list_metrics, load_metric







@pytest.fixture
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Optional[Any]     ):
					monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"      ,      set()     )







@pytest.fixture
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[Any]     ):
					class 			a__    :






											def __init__(   self		,			_A			):




																"""simple docstring"""



																__lowerCAmelCase				   =       metric_id






					class 			a__    :
											_a							:    Optional[int]					=    [MetricMock(snake_case__      ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]






											def 				__SCREAMING_SNAKE_CASE(   self			):




																"""simple docstring"""



																return self._metrics






					monkeypatch.setattr("datasets.inspect.huggingface_hub"      ,      HfhMock()     )







@pytest.mark.parametrize(
    "func, args"      ,      [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Tuple      ,      SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]     ):
					if "tmp_path" in args:
										__lowerCAmelCase				   =       tuple(arg if arg != "tmp_path" else tmp_path for arg in args     )
					with pytest.warns(SCREAMING_SNAKE_CASE_      ,      match="https://huggingface.co/docs/evaluate"     ):
										func(*SCREAMING_SNAKE_CASE_     )




