



from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


lowercase_						=       logging.get_logger(__name__)

lowercase_						=       {
    """t5-small""": """https://huggingface.co/t5-small/resolve/main/config.json""",
    """t5-base""": """https://huggingface.co/t5-base/resolve/main/config.json""",
    """t5-large""": """https://huggingface.co/t5-large/resolve/main/config.json""",
    """t5-3b""": """https://huggingface.co/t5-3b/resolve/main/config.json""",
    """t5-11b""": """https://huggingface.co/t5-11b/resolve/main/config.json""",
}
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   List[Any]       						="""t5"""
				UpperCamelCase__			:   Any       						=["""past_key_values"""]
				UpperCamelCase__			:   Union[str, Any]       						={"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}




				def __init__(  self   :  Dict,   __lowercase   :  Union[str, Any]=3_2128,   __lowercase   :  Optional[Any]=512,   __lowercase   :  List[Any]=64,   __lowercase   :  int=2048,   __lowercase   :  Dict=6,   __lowercase   :  Tuple=None,   __lowercase   :  List[str]=8,   __lowercase   :  int=32,   __lowercase   :  str=128,   __lowercase   :  Optional[Any]=0.1,   __lowercase   :  Tuple=1e-6,   __lowercase   :  Dict=1.0,   __lowercase   :  Optional[int]="relu",   __lowercase   :  List[Any]=True,   __lowercase   :  Optional[int]=True,   __lowercase   :  Any=0,   __lowercase   :  List[Any]=1,   **__lowercase   :  Dict,   ):
							lowercase__   					=			vocab_size
							lowercase__   					=			d_model
							lowercase__   					=			d_kv
							lowercase__   					=			d_ff
							lowercase__   					=			num_layers
							lowercase__   					=			(
							    num_decoder_layers if num_decoder_layers is not None else self.num_layers
							)  # default = symmetry
							lowercase__   					=			num_heads
							lowercase__   					=			relative_attention_num_buckets
							lowercase__   					=			relative_attention_max_distance
							lowercase__   					=			dropout_rate
							lowercase__   					=			layer_norm_epsilon
							lowercase__   					=			initializer_factor
							lowercase__   					=			feed_forward_proj
							lowercase__   					=			use_cache

							lowercase__   					=			self.feed_forward_proj.split("-"  )
							lowercase__   					=			act_info[-1]
							lowercase__   					=			act_info[0] == "gated"

							if len(__lowercase  ) > 1 and act_info[0] != "gated" or len(__lowercase  ) > 2:
										raise ValueError(
										    F'''`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'''
										    "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
										    "'gated-gelu' or 'relu'"  )

							# for backwards compatibility
							if feed_forward_proj == "gated-gelu":
										lowercase__   					=			"gelu_new"

							super().__init__(
							    pad_token_id=__lowercase,   eos_token_id=__lowercase,   is_encoder_decoder=__lowercase,   **__lowercase,   )
class 			_snake_case     (   lowercase__):




				@property
				def 							A__ (  self   :  List[Any]  ):
							lowercase__   					=			{
							    "input_ids": {0: "batch", 1: "encoder_sequence"},
							    "attention_mask": {0: "batch", 1: "encoder_sequence"},
							}
							if self.use_past:
										lowercase__   					=			"past_encoder_sequence + sequence"
										lowercase__   					=			{0: "batch"}
										lowercase__   					=			{0: "batch", 1: "past_decoder_sequence + sequence"}
							else:
										lowercase__   					=			{0: "batch", 1: "decoder_sequence"}
										lowercase__   					=			{0: "batch", 1: "decoder_sequence"}

							if self.use_past:
										self.fill_with_past_key_values_(__lowercase,   direction="inputs"  )

							return common_inputs




				@property
				def 							A__ (  self   :  Tuple  ):
							return 13









from graphs.minimum_spanning_tree_kruskal import kruskal



def __lowerCAmelCase	(       ):
			lowercase__   					=			9
			lowercase__   					=			[
			    [0, 1, 4],
			    [0, 7, 8],
			    [1, 2, 8],
			    [7, 8, 7],
			    [7, 6, 1],
			    [2, 8, 2],
			    [8, 6, 6],
			    [2, 3, 7],
			    [2, 5, 4],
			    [6, 5, 2],
			    [3, 5, 14],
			    [3, 4, 9],
			    [5, 4, 10],
			    [1, 7, 11],
			]

			lowercase__   					=			kruskal(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					)

			lowercase__   					=			[
			    [7, 6, 1],
			    [2, 8, 2],
			    [6, 5, 2],
			    [0, 1, 4],
			    [2, 5, 4],
			    [2, 3, 7],
			    [0, 7, 8],
			    [3, 4, 9],
			]

			assert sorted(SCREAMING_SNAKE_CASE_					) == sorted(SCREAMING_SNAKE_CASE_					)




