



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


__SCREAMING_SNAKE_CASE           =  logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE           =  {
    """RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-430m-pile""": """https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-1b5-pile""": """https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-3b-pile""": """https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-7b-pile""": """https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-14b-pile""": """https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json""",
    """RWKV/rwkv-raven-1b5""": """https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json""",
    """RWKV/rwkv-raven-3b""": """https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json""",
    """RWKV/rwkv-raven-7b""": """https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json""",
    """RWKV/rwkv-raven-14b""": """https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json""",
}

class 	lowerCamelCase_    ( _A						):






						'''simple docstring'''
						a__   =  "rwkv"
						a__   =  {"max_position_embeddings": "context_length"}







						def __init__(	self      :			Optional[Any]	,	__lowerCamelCase      :			List[str]=5_02_77	,	__lowerCamelCase      :			str=10_24	,	__lowerCamelCase      :			Optional[Any]=40_96	,	__lowerCamelCase      :			List[str]=32	,	__lowerCamelCase      :			Dict=None	,	__lowerCamelCase      :			List[str]=None	,	__lowerCamelCase      :			Union[str, Any]=1e-5	,	__lowerCamelCase      :			Union[str, Any]=0	,	__lowerCamelCase      :			List[str]=0	,	__lowerCamelCase      :			str=6	,	__lowerCamelCase      :			List[str]=False	,	__lowerCamelCase      :			int=True	,	**__lowerCamelCase      :			Any	,	)      ->				str:
									A							:					List[str]              =						vocab_size
									A							:					int              =						context_length
									A							:					int              =						hidden_size
									A							:					str              =						num_hidden_layers
									A							:					Optional[int]              =						attention_hidden_size if attention_hidden_size is not None else hidden_size
									A							:					Dict              =						intermediate_size if intermediate_size is not None else 4 * hidden_size
									A							:					Any              =						layer_norm_epsilon
									A							:					str              =						rescale_every
									A							:					List[str]              =						use_cache

									A							:					Any              =						bos_token_id
									A							:					Dict              =						eos_token_id

									super().__init__(
									    tie_word_embeddings=__lowerCamelCase	,	bos_token_id=__lowerCamelCase	,	eos_token_id=__lowerCamelCase	,	**__lowerCamelCase )




from collections.abc import Sequence




def 	UpperCAmelCase   (						_lowerCamelCase = None    ):
			if nums is None or not nums:
						raise ValueError("Input sequence should not be empty"    )

			A							:					Dict              =						nums[0]
			for i in range(1 ,    len(_lowerCamelCase    )    ):
						A							:					Tuple              =						nums[i]
						A							:					List[Any]              =						max(_lowerCamelCase ,    ans + num ,    _lowerCamelCase    )

			return ans


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							# Try on a sample input from the user
							__SCREAMING_SNAKE_CASE           =  int(input("""Enter number of elements : """).strip())
							__SCREAMING_SNAKE_CASE           =  list(map(int, input("""\nEnter the numbers : """).strip().split()))[:n]
							print(max_subsequence_sum(array))