


"""simple docstring"""





import warnings

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


snake_case__						:   int			 = logging.get_logger(__name__)

snake_case__						:   Dict			 = {
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}



class 						snake_case_(				a__	):
     __UpperCamelCase     =    '''mvp'''
     __UpperCamelCase     =    ['''past_key_values''']
     __UpperCamelCase     =    {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}






     def __init__(		self     :    Dict    , UpperCamelCase_     :    Union[str, Any]=5_0_2_6_7    , UpperCamelCase_     :    Tuple=1_0_2_4    , UpperCamelCase_     :    int=1_2    , UpperCamelCase_     :    Optional[int]=4_0_9_6    , UpperCamelCase_     :    Union[str, Any]=1_6    , UpperCamelCase_     :    List[Any]=1_2    , UpperCamelCase_     :    Dict=4_0_9_6    , UpperCamelCase_     :    Union[str, Any]=1_6    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    Optional[int]=0.0    , UpperCamelCase_     :    List[str]="gelu"    , UpperCamelCase_     :    List[Any]=1_0_2_4    , UpperCamelCase_     :    List[Any]=0.1    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    List[Any]=0.02    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    List[str]=False    , UpperCamelCase_     :    Union[str, Any]=True    , UpperCamelCase_     :    str=1    , UpperCamelCase_     :    Tuple=0    , UpperCamelCase_     :    List[Any]=2    , UpperCamelCase_     :    Dict=True    , UpperCamelCase_     :    Union[str, Any]=2    , UpperCamelCase_     :    Tuple=2    , UpperCamelCase_     :    List[Any]=False    , UpperCamelCase_     :    Optional[int]=1_0_0    , UpperCamelCase_     :    Dict=8_0_0    , **UpperCamelCase_     :    Any    , ):
           lowerCAmelCase    :		str				=      vocab_size
           lowerCAmelCase    :		str				=      max_position_embeddings
           lowerCAmelCase    :		Union[str, Any]				=      d_model
           lowerCAmelCase    :		List[Any]				=      encoder_ffn_dim
           lowerCAmelCase    :		Tuple				=      encoder_layers
           lowerCAmelCase    :		Tuple				=      encoder_attention_heads
           lowerCAmelCase    :		Any				=      decoder_ffn_dim
           lowerCAmelCase    :		Optional[int]				=      decoder_layers
           lowerCAmelCase    :		Any				=      decoder_attention_heads
           lowerCAmelCase    :		Optional[Any]				=      dropout
           lowerCAmelCase    :		Tuple				=      attention_dropout
           lowerCAmelCase    :		Union[str, Any]				=      activation_dropout
           lowerCAmelCase    :		Union[str, Any]				=      activation_function
           lowerCAmelCase    :		int				=      init_std
           lowerCAmelCase    :		str				=      encoder_layerdrop
           lowerCAmelCase    :		str				=      decoder_layerdrop
           lowerCAmelCase    :		Dict				=      classifier_dropout
           lowerCAmelCase    :		List[str]				=      use_cache
           lowerCAmelCase    :		Optional[Any]				=      encoder_layers
           lowerCAmelCase    :		Union[str, Any]				=      scale_embedding  # scale factor will be sqrt(d_model) if True
           lowerCAmelCase    :		Optional[Any]				=      use_prompt
           lowerCAmelCase    :		Tuple				=      prompt_length
           lowerCAmelCase    :		int				=      prompt_mid_dim

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

           if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''    , UpperCamelCase_ ):
                 lowerCAmelCase    :		int				=      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 argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
lowerCAmelCase           =		[
    '''kernels/rwkv/wkv_cuda.cu''',
    '''kernels/rwkv/wkv_op.cpp''',
    '''kernels/deformable_detr/ms_deform_attn.h''',
    '''kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh''',
    '''models/graphormer/algos_graphormer.pyx''',
]







def        _lowerCamelCase(	lowercase__	)						->	str:

		'''simple docstring'''







		for file in FILES_TO_FIND:
				if not (transformers_path / file).exists():
						return False
		return True


if __name__ == "__main__":
	lowerCAmelCase           =		argparse.ArgumentParser()
	parser.add_argument('''--check_lib''', action='''store_true''', help='''Whether to check the build or the actual package.''')
	lowerCAmelCase           =		parser.parse_args()
	if args.check_lib:
		lowerCAmelCase           =		importlib.import_module('''transformers''')
		lowerCAmelCase           =		Path(transformers_module.__file__).parent
	else:
		lowerCAmelCase           =		Path.cwd() / '''build/lib/transformers'''
	if not test_custom_files_are_present(transformers_path):
		raise ValueError('''The built release does not contain the custom files. Fix this before going further!''')






