





"""simple docstring"""




from typing import Mapping

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


UpperCamelCase_									=logging.get_logger(__name__)

UpperCamelCase_									={
    """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 			_a						(				_lowerCAmelCase    ):
				UpperCamelCase								=   '''t5'''
				UpperCamelCase								=   ['''past_key_values''']
				UpperCamelCase								=   {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}






				def __init__(			self		:   List[str],			lowerCAmelCase__		:   Optional[Any]=3_2_1_2_8,			lowerCAmelCase__		:   List[Any]=5_1_2,			lowerCAmelCase__		:   Union[str, Any]=6_4,			lowerCAmelCase__		:   int=2_0_4_8,			lowerCAmelCase__		:   int=6,			lowerCAmelCase__		:   Dict=None,			lowerCAmelCase__		:   int=8,			lowerCAmelCase__		:   int=3_2,			lowerCAmelCase__		:   Tuple=1_2_8,			lowerCAmelCase__		:   Optional[Any]=0.1,			lowerCAmelCase__		:   str=1e-6,			lowerCAmelCase__		:   List[Any]=1.0,			lowerCAmelCase__		:   Any="relu",			lowerCAmelCase__		:   List[Any]=True,			lowerCAmelCase__		:   int=True,			lowerCAmelCase__		:   Dict=0,			lowerCAmelCase__		:   Dict=1,			**lowerCAmelCase__		:   Optional[int],			)     ->				Tuple:




										'''simple docstring'''



										_UpperCamelCase      : List[Any]         =   vocab_size
										_UpperCamelCase      : int         =   d_model
										_UpperCamelCase      : List[Any]         =   d_kv
										_UpperCamelCase      : int         =   d_ff
										_UpperCamelCase      : Optional[Any]         =   num_layers
										_UpperCamelCase      : Optional[int]         =   (
										    num_decoder_layers if num_decoder_layers is not None else self.num_layers
										)  # default = symmetry
										_UpperCamelCase      : Dict         =   num_heads
										_UpperCamelCase      : str         =   relative_attention_num_buckets
										_UpperCamelCase      : Dict         =   relative_attention_max_distance
										_UpperCamelCase      : Any         =   dropout_rate
										_UpperCamelCase      : List[str]         =   layer_norm_epsilon
										_UpperCamelCase      : List[Any]         =   initializer_factor
										_UpperCamelCase      : Optional[Any]         =   feed_forward_proj
										_UpperCamelCase      : Dict         =   use_cache

										_UpperCamelCase      : int         =   self.feed_forward_proj.split('''-'''							)
										_UpperCamelCase      : Optional[int]         =   act_info[-1]
										_UpperCamelCase      : str         =   act_info[0] == '''gated'''

										if len(lowerCAmelCase__							) > 1 and act_info[0] != "gated" or len(lowerCAmelCase__							) > 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":
																_UpperCamelCase      : List[str]         =   '''gelu_new'''

										super().__init__(
										    pad_token_id=lowerCAmelCase__,			eos_token_id=lowerCAmelCase__,			is_encoder_decoder=lowerCAmelCase__,			**lowerCAmelCase__,			)




class 			_a						(				_lowerCAmelCase    ):






				@property
				def     snake_case     (			self		:   int							)     ->				Mapping[str, Mapping[int, str]]:




										'''simple docstring'''



										_UpperCamelCase      : List[str]         =   {
										    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
										    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
										}
										if self.use_past:
																_UpperCamelCase      : Any         =   '''past_encoder_sequence + sequence'''
																_UpperCamelCase      : int         =   {0: '''batch'''}
																_UpperCamelCase      : List[Any]         =   {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
										else:
																_UpperCamelCase      : Tuple         =   {0: '''batch''', 1: '''decoder_sequence'''}
																_UpperCamelCase      : Optional[int]         =   {0: '''batch''', 1: '''decoder_sequence'''}

										if self.use_past:
																self.fill_with_past_key_values_(lowerCAmelCase__,			direction='''inputs'''							)

										return common_inputs






				@property
				def     snake_case     (			self		:   Any							)     ->				int:




										'''simple docstring'''



										return 1_3










"""simple docstring"""




class 			_a						:






				def __init__(			self		:   Optional[int],			lowerCAmelCase__		:   list							)     ->				None:




										'''simple docstring'''



										_UpperCamelCase      : Optional[int]         =   set_counts
										_UpperCamelCase      : Any         =   max(lowerCAmelCase__							)
										_UpperCamelCase      : int         =   len(lowerCAmelCase__							)
										_UpperCamelCase      : int         =   [1] * num_sets
										_UpperCamelCase      : List[Any]         =   list(range(lowerCAmelCase__							)							)






				def     snake_case     (			self		:   int,			lowerCAmelCase__		:   int,			lowerCAmelCase__		:   int							)     ->				bool:




										'''simple docstring'''



										_UpperCamelCase      : Optional[Any]         =   self.get_parent(lowerCAmelCase__							)
										_UpperCamelCase      : Any         =   self.get_parent(lowerCAmelCase__							)

										if src_parent == dst_parent:
																return False

										if self.ranks[dst_parent] >= self.ranks[src_parent]:
																self.set_counts[dst_parent] += self.set_counts[src_parent]
																_UpperCamelCase      : List[Any]         =   0
																_UpperCamelCase      : str         =   dst_parent
																if self.ranks[dst_parent] == self.ranks[src_parent]:
																						self.ranks[dst_parent] += 1
																_UpperCamelCase      : Union[str, Any]         =   self.set_counts[dst_parent]
										else:
																self.set_counts[src_parent] += self.set_counts[dst_parent]
																_UpperCamelCase      : Tuple         =   0
																_UpperCamelCase      : Optional[Any]         =   src_parent
																_UpperCamelCase      : int         =   self.set_counts[src_parent]

										_UpperCamelCase      : Optional[Any]         =   max(self.max_set,			lowerCAmelCase__							)
										return True






				def     snake_case     (			self		:   Optional[Any],			lowerCAmelCase__		:   int							)     ->				int:




										'''simple docstring'''



										if self.parents[disj_set] == disj_set:
																return disj_set
										_UpperCamelCase      : Union[str, Any]         =   self.get_parent(self.parents[disj_set]							)
										return self.parents[disj_set]



