

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


A									=  logging.get_logger(__name__)

A									=  {
    'tanreinama/GPTSAN-2.8B-spout_is_uniform': (
        'https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json'
    ),
}


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""gptsan-japanese"""
			__A    	=	[
			    """past_key_values""",
			]
			__A    	=	{
			    """hidden_size""": """d_model""",
			    """num_attention_heads""": """num_heads""",
			    """num_hidden_layers""": """num_layers""",
			}


			def __init__(     self			,					__UpperCamelCase=3_60_00			,					__UpperCamelCase=12_80			,					__UpperCamelCase=10_24			,					__UpperCamelCase=81_92			,					__UpperCamelCase=40_96			,					__UpperCamelCase=1_28			,					__UpperCamelCase=10			,					__UpperCamelCase=0			,					__UpperCamelCase=16			,					__UpperCamelCase=16			,					__UpperCamelCase=1_28			,					__UpperCamelCase=0.0			,					__UpperCamelCase=1E-5			,					__UpperCamelCase=False			,					__UpperCamelCase=0.0			,					__UpperCamelCase="float32"			,					__UpperCamelCase=False			,					__UpperCamelCase=False			,					__UpperCamelCase=False			,					__UpperCamelCase=0.002			,					__UpperCamelCase=False			,					__UpperCamelCase=True			,					__UpperCamelCase=3_59_98			,					__UpperCamelCase=3_59_95			,					__UpperCamelCase=3_59_99			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				snake_case_   		=			vocab_size
				snake_case_   		=			max_position_embeddings
				snake_case_   		=			d_model
				snake_case_   		=			d_ff
				snake_case_   		=			d_ext
				snake_case_   		=			d_spout
				snake_case_   		=			num_switch_layers
				snake_case_   		=			num_ext_layers
				snake_case_   		=			num_switch_layers + num_ext_layers
				snake_case_   		=			num_heads
				snake_case_   		=			num_experts
				snake_case_   		=			expert_capacity
				snake_case_   		=			dropout_rate
				snake_case_   		=			layer_norm_epsilon
				snake_case_   		=			router_bias
				snake_case_   		=			router_jitter_noise
				snake_case_   		=			router_dtype
				snake_case_   		=			router_ignore_padding_tokens
				snake_case_   		=			output_hidden_states
				snake_case_   		=			output_attentions
				snake_case_   		=			initializer_factor
				snake_case_   		=			output_router_logits
				snake_case_   		=			use_cache

				super().__init__(
				    separator_token_id=__UpperCamelCase			,					pad_token_id=__UpperCamelCase			,					eos_token_id=__UpperCamelCase			,					**__UpperCamelCase			,					)



def a(lowercase__						):





	'''simple docstring'''
	snake_case_   		=			len(lowercase__						)
	for _ in range(lowercase__						):
		for i in range(_ % 2      ,			arr_size - 1      ,			2						):
			if arr[i + 1] < arr[i]:
				snake_case_		,							snake_case_   		=			arr[i + 1], arr[i]

	return arr


if __name__ == "__main__":
		A									=  list(range(10, 0, -1))
		print(f"""Original: {arr}. Sorted: {odd_even_transposition(arr)}""")
