





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


__lowerCamelCase       :     str   =     logging.get_logger(__name__)

__lowerCamelCase       :     str   =     {
    """studio-ousia/luke-base""": """https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json""",
    """studio-ousia/luke-large""": """https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json""",
}



class 					A__   (       __snake_case			):
      _UpperCAmelCase	:List[Any]						    =   'luke'





      def __init__( self       ,							A_=5_0267       ,							A_=50_0000       ,							A_=768       ,							A_=256       ,							A_=12       ,							A_=12       ,							A_=3072       ,							A_="gelu"       ,							A_=0.1       ,							A_=0.1       ,							A_=512       ,							A_=2       ,							A_=0.02       ,							A_=1e-12       ,							A_=True       ,							A_=None       ,							A_=1       ,							A_=0       ,							A_=2       ,							**A_       ,							):
       '''simple docstring'''




       super().__init__(pad_token_id=A_       ,							bos_token_id=A_       ,							eos_token_id=A_       ,							**A_   )

       UpperCamelCase	:					Any       	=   vocab_size
       UpperCamelCase	:					int       	=   entity_vocab_size
       UpperCamelCase	:					Any       	=   hidden_size
       UpperCamelCase	:					Dict       	=   entity_emb_size
       UpperCamelCase	:					List[str]       	=   num_hidden_layers
       UpperCamelCase	:					Union[str, Any]       	=   num_attention_heads
       UpperCamelCase	:					int       	=   hidden_act
       UpperCamelCase	:					Any       	=   intermediate_size
       UpperCamelCase	:					List[str]       	=   hidden_dropout_prob
       UpperCamelCase	:					Optional[int]       	=   attention_probs_dropout_prob
       UpperCamelCase	:					Optional[int]       	=   max_position_embeddings
       UpperCamelCase	:					List[Any]       	=   type_vocab_size
       UpperCamelCase	:					Optional[int]       	=   initializer_range
       UpperCamelCase	:					Dict       	=   layer_norm_eps
       UpperCamelCase	:					str       	=   use_entity_aware_attention
       UpperCamelCase	:					Optional[int]       	=   classifier_dropout




def        _lowerCamelCase(	lowercase__	)						->	int:

		'''simple docstring'''







		if collection == []:
				return []

		# get some information about the collection
		__lowercase=			len(lowercase__	)
		__lowercase=			max(lowercase__	)
		__lowercase=			min(lowercase__	)

		# create the counting array
		__lowercase=			coll_max + 1 - coll_min
		__lowercase=			[0] * counting_arr_length

		# count how much a number appears in the collection
		for number in collection:
				counting_arr[number - coll_min] += 1

		# sum each position with it's predecessors. now, counting_arr[i] tells
		# us how many elements <= i has in the collection
		for i in range(1   , lowercase__	):
				__lowercase=			counting_arr[i] + counting_arr[i - 1]

		# create the output collection
		__lowercase=			[0] * coll_len

		# place the elements in the output, respecting the original order (stable
		# sort) from end to begin, updating counting_arr
		for i in reversed(range(0   , lowercase__	)	):
				__lowercase=			collection[i]
				counting_arr[collection[i] - coll_min] -= 1

		return ordered







def        _lowerCamelCase(	lowercase__	)						->	List[str]:

		'''simple docstring'''







		return "".join([chr(lowercase__	) for i in counting_sort([ord(lowercase__	) for c in string]	)]	)


if __name__ == "__main__":
	# Test string sort
	assert counting_sort_string('''thisisthestring''') == "eghhiiinrsssttt"

	lowerCAmelCase           =		input('''Enter numbers separated by a comma:\n''').strip()
	lowerCAmelCase           =		[int(item) for item in user_input.split(''',''')]
	print(counting_sort(unsorted))






