


'''simple docstring'''



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


__A	=logging.get_logger(__name__)

__A	={
    'facebook/nllb-moe-54B': 'https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json',
}


class 		_snake_case					(     a__	):
					lowerCAmelCase      :int   =					'''nllb-moe'''
					lowerCAmelCase      :Tuple   =					['''past_key_values''']
					lowerCAmelCase      :List[Any]   =					{'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}




					def __init__(      self							,							_lowerCamelCase=12_8112							,							_lowerCamelCase=1024							,							_lowerCamelCase=12							,							_lowerCamelCase=4096							,							_lowerCamelCase=16							,							_lowerCamelCase=12							,							_lowerCamelCase=4096							,							_lowerCamelCase=16							,							_lowerCamelCase=0.05							,							_lowerCamelCase=0.05							,							_lowerCamelCase=True							,							_lowerCamelCase=True							,							_lowerCamelCase="relu"							,							_lowerCamelCase=1024							,							_lowerCamelCase=0.1							,							_lowerCamelCase=0.1							,							_lowerCamelCase=0.0							,							_lowerCamelCase=0.02							,							_lowerCamelCase=2							,							_lowerCamelCase=True							,							_lowerCamelCase=False							,							_lowerCamelCase="float32"							,							_lowerCamelCase=False							,							_lowerCamelCase=128							,							_lowerCamelCase=64							,							_lowerCamelCase=4							,							_lowerCamelCase=4							,							_lowerCamelCase=0.001							,							_lowerCamelCase=0.001							,							_lowerCamelCase="all"							,							_lowerCamelCase=False							,							_lowerCamelCase=False							,							_lowerCamelCase=1.0							,							_lowerCamelCase=0.2							,							_lowerCamelCase=1							,							_lowerCamelCase=0							,							_lowerCamelCase=2							,							_lowerCamelCase=False							,							**_lowerCamelCase							,							):
								UpperCAmelCase__  :					str        =     vocab_size
								UpperCAmelCase__  :					Dict        =     max_position_embeddings
								UpperCAmelCase__  :					Union[str, Any]        =     d_model
								UpperCAmelCase__  :					List[str]        =     encoder_ffn_dim
								UpperCAmelCase__  :					Tuple        =     encoder_layers
								UpperCAmelCase__  :					Dict        =     encoder_attention_heads
								UpperCAmelCase__  :					Tuple        =     decoder_ffn_dim
								UpperCAmelCase__  :					Dict        =     decoder_layers
								UpperCAmelCase__  :					Dict        =     decoder_attention_heads
								UpperCAmelCase__  :					List[Any]        =     dropout
								UpperCAmelCase__  :					Dict        =     attention_dropout
								UpperCAmelCase__  :					Optional[int]        =     activation_dropout
								UpperCAmelCase__  :					int        =     activation_function
								UpperCAmelCase__  :					Optional[int]        =     init_std
								UpperCAmelCase__  :					Dict        =     encoder_layerdrop
								UpperCAmelCase__  :					str        =     decoder_layerdrop
								UpperCAmelCase__  :					Optional[Any]        =     use_cache
								UpperCAmelCase__  :					List[str]        =     encoder_layers
								UpperCAmelCase__  :					List[Any]        =     scale_embedding  # scale factor will be sqrt(d_model) if True
								UpperCAmelCase__  :					Optional[int]        =     router_z_loss_coef
								UpperCAmelCase__  :					Union[str, Any]        =     router_aux_loss_coef
								UpperCAmelCase__  :					List[str]        =     decoder_sparse_step
								UpperCAmelCase__  :					List[str]        =     encoder_sparse_step
								UpperCAmelCase__  :					Optional[Any]        =     num_experts
								UpperCAmelCase__  :					Dict        =     expert_capacity
								UpperCAmelCase__  :					Any        =     router_bias
								if router_dtype not in ["float32", "float16", "bfloat16"]:
											raise ValueError(f'''`router_dtype` must be one of \'float32\', \'float16\' or \'bfloat16\', got {router_dtype}''')
								UpperCAmelCase__  :					Dict        =     router_dtype

								UpperCAmelCase__  :					Optional[Any]        =     router_ignore_padding_tokens
								UpperCAmelCase__  :					Any        =     batch_prioritized_routing
								UpperCAmelCase__  :					List[str]        =     second_expert_policy
								UpperCAmelCase__  :					str        =     normalize_router_prob_before_dropping
								UpperCAmelCase__  :					Tuple        =     moe_eval_capacity_token_fraction
								UpperCAmelCase__  :					List[str]        =     moe_token_dropout
								UpperCAmelCase__  :					Optional[int]        =     output_router_logits
								super().__init__(
								    pad_token_id=_SCREAMING_SNAKE_CASE							,							bos_token_id=_SCREAMING_SNAKE_CASE							,							eos_token_id=_SCREAMING_SNAKE_CASE							,							is_encoder_decoder=_SCREAMING_SNAKE_CASE							,							decoder_start_token_id=_SCREAMING_SNAKE_CASE							,							**_SCREAMING_SNAKE_CASE							,							)



'''simple docstring'''



def     _UpperCamelCase      (		UpperCamelCase__					):
			# if the collection is empty, returns empty
			if collection == []:
						return []

			# get some information about the collection
			UpperCAmelCase__  :					List[str]        =     len(UpperCamelCase__					)
			UpperCAmelCase__  :					Union[str, Any]        =     max(UpperCamelCase__					)
			UpperCAmelCase__  :					Optional[Any]        =     min(UpperCamelCase__					)

			# create the counting array
			UpperCAmelCase__  :					Dict        =     coll_max + 1 - coll_min
			UpperCAmelCase__  :					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 ,      UpperCamelCase__					):
						UpperCAmelCase__  :					List[str]        =     counting_arr[i] + counting_arr[i - 1]

			# create the output collection
			UpperCAmelCase__  :					Tuple        =     [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 ,      UpperCamelCase__					)					):
						UpperCAmelCase__  :					Any        =     collection[i]
						counting_arr[collection[i] - coll_min] -= 1

			return ordered







def     _UpperCamelCase      (		UpperCamelCase__					):
			return "".join([chr(UpperCamelCase__					) for i in counting_sort([ord(UpperCamelCase__					) for c in string]					)]					)


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

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