



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


a__     =						logging.get_logger(__name__)

a__     =						{
    """alibaba-damo/mgp-str-base""": """https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json""",
}







class 		snake_case    (						A__	):



   '''simple docstring'''






   snake_case_       :			List[str]        =		"""mgp-str"""

   def __init__(       self				:      List[str]					,		lowerCAmelCase				:      Any=[32, 128]					,		lowerCAmelCase				:      Optional[int]=4					,		lowerCAmelCase				:      List[Any]=3					,		lowerCAmelCase				:      Union[str, Any]=27					,		lowerCAmelCase				:      List[str]=38					,		lowerCAmelCase				:      Union[str, Any]=5_0257					,		lowerCAmelCase				:      List[Any]=3_0522					,		lowerCAmelCase				:      Any=768					,		lowerCAmelCase				:      Optional[int]=12					,		lowerCAmelCase				:      Optional[int]=12					,		lowerCAmelCase				:      int=4.0					,		lowerCAmelCase				:      Optional[int]=True					,		lowerCAmelCase				:      int=False					,		lowerCAmelCase				:      str=1E-5					,		lowerCAmelCase				:      Optional[int]=0.0					,		lowerCAmelCase				:      Optional[int]=0.0					,		lowerCAmelCase				:      Dict=0.0					,		lowerCAmelCase				:      int=False					,		lowerCAmelCase				:      Dict=0.02					,		**lowerCAmelCase				:      List[Any]					,		)					->					List[Any]:

    """simple docstring"""







    super().__init__(**snake_case_)

    _snake_case     :	Optional[Any]											=       image_size
    _snake_case     :	int											=       patch_size
    _snake_case     :	str											=       num_channels
    _snake_case     :	Tuple											=       max_token_length
    _snake_case     :	Any											=       num_character_labels
    _snake_case     :	int											=       num_bpe_labels
    _snake_case     :	Tuple											=       num_wordpiece_labels
    _snake_case     :	Union[str, Any]											=       hidden_size
    _snake_case     :	Tuple											=       num_hidden_layers
    _snake_case     :	Dict											=       num_attention_heads
    _snake_case     :	int											=       mlp_ratio
    _snake_case     :	int											=       distilled
    _snake_case     :	List[str]											=       layer_norm_eps
    _snake_case     :	List[Any]											=       drop_rate
    _snake_case     :	str											=       qkv_bias
    _snake_case     :	List[Any]											=       attn_drop_rate
    _snake_case     :	int											=       drop_path_rate
    _snake_case     :	Union[str, Any]											=       output_aa_attentions
    _snake_case     :	Optional[int]											=       initializer_range


"""simple docstring"""
import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
SCREAMING_SNAKE_CASE_					     =	[
    '''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  lowercase     (_lowerCAmelCase						):
						# Test all the extensions added in the setup
						for file in FILES_TO_FIND:
												if not (transformers_path / file).exists():
																		return False
						return True


if __name__ == "__main__":
			SCREAMING_SNAKE_CASE_					     =	argparse.ArgumentParser()
			parser.add_argument('''--check_lib''', action='''store_true''', help='''Whether to check the build or the actual package.''')
			SCREAMING_SNAKE_CASE_					     =	parser.parse_args()
			if args.check_lib:
						SCREAMING_SNAKE_CASE_					     =	importlib.import_module('''transformers''')
						SCREAMING_SNAKE_CASE_					     =	Path(transformers_module.__file__).parent
			else:
						SCREAMING_SNAKE_CASE_					     =	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!''')
