
"""simple docstring"""


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


_lowercase							      = logging.get_logger(__name__)

_lowercase							      = {
    '''facebook/dpr-ctx_encoder-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-question_encoder-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-reader-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-ctx_encoder-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-question_encoder-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-reader-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json'''
    ),
}







class  lowerCAmelCase_ (					_lowercase			):



						'''simple docstring'''


						_lowerCamelCase:			str					=			'''dpr'''


						def __init__(       self   :					Optional[int]     ,A_   :					Optional[int]=3_0522     ,A_   :					Dict=768     ,A_   :					str=12     ,A_   :					List[Any]=12     ,A_   :					str=3072     ,A_   :					Tuple="gelu"     ,A_   :					Dict=0.1     ,A_   :					Optional[Any]=0.1     ,A_   :					Dict=512     ,A_   :					Dict=2     ,A_   :					List[Any]=0.02     ,A_   :					List[str]=1e-12     ,A_   :					str=0     ,A_   :					Dict="absolute"     ,A_   :					int = 0     ,**A_   :					Union[str, Any]     ,)   ->      Dict:
							super().__init__(pad_token_id=A_     ,**A_					)

							A        =      vocab_size
							A        =      hidden_size
							A        =      num_hidden_layers
							A        =      num_attention_heads
							A        =      hidden_act
							A        =      intermediate_size
							A        =      hidden_dropout_prob
							A        =      attention_probs_dropout_prob
							A        =      max_position_embeddings
							A        =      type_vocab_size
							A        =      initializer_range
							A        =      layer_norm_eps
							A        =      projection_dim
							A        =      position_embedding_type



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))






