

'''simple docstring'''



def 						__lowerCamelCase	(       __snake_case					:		Tuple	):






						"""simple docstring"""





						if collection == []:
												return []

						# get some information about the collection
						A__					:       Any     =len(__snake_case	)
						A__					:       List[str]     =max(__snake_case	)
						A__					:       Optional[int]     =min(__snake_case	)

						# create the counting array
						A__					:       Dict     =coll_max + 1 - coll_min
						A__					:       Optional[int]     =[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,		__snake_case	):
												A__					:       Dict     =counting_arr[i] + counting_arr[i - 1]

						# create the output collection
						A__					:       List[str]     =[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,		__snake_case	)	):
												A__					:       Any     =collection[i]
												counting_arr[collection[i] - coll_min] -= 1

						return ordered
def 						__lowerCamelCase	(       __snake_case					:		str	):






						"""simple docstring"""





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


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

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




'''simple docstring'''



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


__snake_case			:     Union[str, Any]										=      logging.get_logger(__name__)

__snake_case			:     Optional[int]										=      {
    'bigcode/gpt_bigcode-santacoder': 'https://huggingface.co/bigcode/gpt_bigcode-santacoder/resolve/main/config.json',
}



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			__snake_case        =	'gpt_bigcode'
			__snake_case        =	['past_key_values']
			__snake_case        =	{
			    'hidden_size': 'n_embd',
			    'max_position_embeddings': 'n_positions',
			    'num_attention_heads': 'n_head',
			    'num_hidden_layers': 'n_layer',
			}


			def __init__(				self	:						Optional[Any]		,      lowerCAmelCase_	:						List[str]=5_02_57		,      lowerCAmelCase_	:						str=10_24		,      lowerCAmelCase_	:						str=7_68		,      lowerCAmelCase_	:						str=12		,      lowerCAmelCase_	:						int=12		,      lowerCAmelCase_	:						Dict=None		,      lowerCAmelCase_	:						List[Any]="gelu_pytorch_tanh"		,      lowerCAmelCase_	:						Union[str, Any]=0.1		,      lowerCAmelCase_	:						Optional[Any]=0.1		,      lowerCAmelCase_	:						Optional[int]=0.1		,      lowerCAmelCase_	:						Dict=1e-5		,      lowerCAmelCase_	:						str=0.02		,      lowerCAmelCase_	:						List[Any]=True		,      lowerCAmelCase_	:						str=True		,      lowerCAmelCase_	:						str=5_02_56		,      lowerCAmelCase_	:						Dict=5_02_56		,      lowerCAmelCase_	:						Union[str, Any]=True		,      lowerCAmelCase_	:						str=True		,      lowerCAmelCase_	:						Optional[Any]=True		,      **lowerCAmelCase_	:						Optional[Any]		,      )      ->		Tuple:





									'''simple docstring'''
									A__					:       Optional[Any]     =vocab_size
									A__					:       Optional[Any]     =n_positions
									A__					:       List[str]     =n_embd
									A__					:       str     =n_layer
									A__					:       Optional[int]     =n_head
									A__					:       Optional[int]     =n_inner
									A__					:       int     =activation_function
									A__					:       int     =resid_pdrop
									A__					:       int     =embd_pdrop
									A__					:       Dict     =attn_pdrop
									A__					:       Any     =layer_norm_epsilon
									A__					:       List[Any]     =initializer_range
									A__					:       Dict     =scale_attn_weights
									A__					:       Any     =use_cache
									A__					:       List[Any]     =attention_softmax_in_fpaa
									A__					:       Optional[int]     =scale_attention_softmax_in_fpaa
									A__					:       Dict     =multi_query

									A__					:       List[str]     =bos_token_id
									A__					:       Any     =eos_token_id

									super().__init__(bos_token_id=lowerCAmelCase_		,      eos_token_id=lowerCAmelCase_		,      **lowerCAmelCase_			)

