import warnings

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


lowercase_  : Any								=					logging.get_logger(__name__)

lowercase_  : Optional[int]								=					{
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}






class 		_lowerCamelCase		( UpperCamelCase_     ):
    __a						=   "mvp"
    __a						=   ["past_key_values"]
    __a						=   {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}
    def __init__(	self			,			lowerCAmelCase=50267			,			lowerCAmelCase=1024			,			lowerCAmelCase=12			,			lowerCAmelCase=4096			,			lowerCAmelCase=16			,			lowerCAmelCase=12			,			lowerCAmelCase=4096			,			lowerCAmelCase=16			,			lowerCAmelCase=0.0			,			lowerCAmelCase=0.0			,			lowerCAmelCase="gelu"			,			lowerCAmelCase=1024			,			lowerCAmelCase=0.1			,			lowerCAmelCase=0.0			,			lowerCAmelCase=0.0			,			lowerCAmelCase=0.02			,			lowerCAmelCase=0.0			,			lowerCAmelCase=False			,			lowerCAmelCase=True			,			lowerCAmelCase=1			,			lowerCAmelCase=0			,			lowerCAmelCase=2			,			lowerCAmelCase=True			,			lowerCAmelCase=2			,			lowerCAmelCase=2			,			lowerCAmelCase=False			,			lowerCAmelCase=100			,			lowerCAmelCase=800			,			**lowerCAmelCase			,			)							->       Dict:
     SCREAMING_SNAKE_CASE__: List[Any]=   vocab_size
     SCREAMING_SNAKE_CASE__: Optional[int]=   max_position_embeddings
     SCREAMING_SNAKE_CASE__: int=   d_model
     SCREAMING_SNAKE_CASE__: Optional[Any]=   encoder_ffn_dim
     SCREAMING_SNAKE_CASE__: Dict=   encoder_layers
     SCREAMING_SNAKE_CASE__: Optional[Any]=   encoder_attention_heads
     SCREAMING_SNAKE_CASE__: List[str]=   decoder_ffn_dim
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   decoder_layers
     SCREAMING_SNAKE_CASE__: Dict=   decoder_attention_heads
     SCREAMING_SNAKE_CASE__: Any=   dropout
     SCREAMING_SNAKE_CASE__: str=   attention_dropout
     SCREAMING_SNAKE_CASE__: List[Any]=   activation_dropout
     SCREAMING_SNAKE_CASE__: Optional[int]=   activation_function
     SCREAMING_SNAKE_CASE__: Optional[int]=   init_std
     SCREAMING_SNAKE_CASE__: List[str]=   encoder_layerdrop
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   decoder_layerdrop
     SCREAMING_SNAKE_CASE__: List[Any]=   classifier_dropout
     SCREAMING_SNAKE_CASE__: List[Any]=   use_cache
     SCREAMING_SNAKE_CASE__: Dict=   encoder_layers
     SCREAMING_SNAKE_CASE__: List[Any]=   scale_embedding  # scale factor will be sqrt(d_model) if True
     SCREAMING_SNAKE_CASE__: int=   use_prompt
     SCREAMING_SNAKE_CASE__: List[Any]=   prompt_length
     SCREAMING_SNAKE_CASE__: str=   prompt_mid_dim

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

     if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''			,			lowerCAmelCase ):
      SCREAMING_SNAKE_CASE__: Union[str, Any]=   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.''' )



"""simple docstring"""




import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A__ :       Optional[int]				= [
    '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		(		_UpperCamelCase    ):






  """simple docstring"""



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


if __name__ == "__main__":
  A__ :       List[Any]				= argparse.ArgumentParser()
  parser.add_argument('--check_lib', action='store_true', help='Whether to check the build or the actual package.')
  A__ :       Optional[int]				= parser.parse_args()
  if args.check_lib:
    A__ :       Union[str, Any]				= importlib.import_module('transformers')
    A__ :       Optional[Any]				= Path(transformers_module.__file__).parent
  else:
    A__ :       str				= 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!')
