






'''simple docstring'''







from typing import Mapping

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


_A	:			int         =logging.get_logger(__name__)

_A	:			int         ={
    '''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 _lowercase	(				_lowercase		):
							a				      =       """t5"""
							a				      =       ["""past_key_values"""]
							a				      =       {"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}




							def __init__(							self:				List[str]			,							UpperCamelCase__:				str=32_128			,							UpperCamelCase__:				Union[str, Any]=512			,							UpperCamelCase__:				str=64			,							UpperCamelCase__:				List[Any]=2_048			,							UpperCamelCase__:				Union[str, Any]=6			,							UpperCamelCase__:				List[str]=None			,							UpperCamelCase__:				str=8			,							UpperCamelCase__:				Optional[int]=32			,							UpperCamelCase__:				Optional[int]=128			,							UpperCamelCase__:				Any=0.1			,							UpperCamelCase__:				List[str]=1e-6			,							UpperCamelCase__:				Dict=1.0			,							UpperCamelCase__:				Optional[int]="relu"			,							UpperCamelCase__:				List[str]=True			,							UpperCamelCase__:				List[str]=True			,							UpperCamelCase__:				List[str]=0			,							UpperCamelCase__:				Union[str, Any]=1			,							**UpperCamelCase__:				Tuple			,							):
														lowerCamelCase__					:	Dict         =       vocab_size
														lowerCamelCase__					:	List[str]         =       d_model
														lowerCamelCase__					:	int         =       d_kv
														lowerCamelCase__					:	Dict         =       d_ff
														lowerCamelCase__					:	Any         =       num_layers
														lowerCamelCase__					:	str         =       (
														    num_decoder_layers if num_decoder_layers is not None else self.num_layers
														)  # default = symmetry
														lowerCamelCase__					:	Tuple         =       num_heads
														lowerCamelCase__					:	Dict         =       relative_attention_num_buckets
														lowerCamelCase__					:	Any         =       relative_attention_max_distance
														lowerCamelCase__					:	Union[str, Any]         =       dropout_rate
														lowerCamelCase__					:	Optional[int]         =       layer_norm_epsilon
														lowerCamelCase__					:	str         =       initializer_factor
														lowerCamelCase__					:	Dict         =       feed_forward_proj
														lowerCamelCase__					:	Optional[Any]         =       use_cache

														lowerCamelCase__					:	List[str]         =       self.feed_forward_proj.split("""-"""     )
														lowerCamelCase__					:	Optional[int]         =       act_info[-1]
														lowerCamelCase__					:	Any         =       act_info[0] == """gated"""

														if len(UpperCamelCase__     ) > 1 and act_info[0] != "gated" or len(UpperCamelCase__     ) > 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":
																					lowerCamelCase__					:	str         =       """gelu_new"""

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



class _lowercase	(				_lowercase		):




							@property
							def 		lowerCamelCase_				(							self:				Optional[int]     ):
														lowerCamelCase__					:	Any         =       {
														    """input_ids""": {0: """batch""", 1: """encoder_sequence"""},
														    """attention_mask""": {0: """batch""", 1: """encoder_sequence"""},
														}
														if self.use_past:
																					lowerCamelCase__					:	str         =       """past_encoder_sequence + sequence"""
																					lowerCamelCase__					:	Union[str, Any]         =       {0: """batch"""}
																					lowerCamelCase__					:	Tuple         =       {0: """batch""", 1: """past_decoder_sequence + sequence"""}
														else:
																					lowerCamelCase__					:	Union[str, Any]         =       {0: """batch""", 1: """decoder_sequence"""}
																					lowerCamelCase__					:	Tuple         =       {0: """batch""", 1: """decoder_sequence"""}

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

														return common_inputs




							@property
							def 		lowerCamelCase_				(							self:				str     ):
														return 13









'''simple docstring'''







class _lowercase	:




							def __init__(							self:				Optional[Any]     ):
														lowerCamelCase__					:	dict[str, TrieNode]         =       {}  # Mapping from char to TrieNode
														lowerCamelCase__					:	List[str]         =       False




							def 		lowerCamelCase_				(							self:				str			,							UpperCamelCase__:				list[str]     ):
														for word in words:
																					self.insert(UpperCamelCase__     )




							def 		lowerCamelCase_				(							self:				List[str]			,							UpperCamelCase__:				str     ):
														lowerCamelCase__					:	List[Any]         =       self
														for char in word:
																					if char not in curr.nodes:
																												lowerCamelCase__					:	Tuple         =       TrieNode()
																					lowerCamelCase__					:	List[Any]         =       curr.nodes[char]
														lowerCamelCase__					:	Any         =       True




							def 		lowerCamelCase_				(							self:				Union[str, Any]			,							UpperCamelCase__:				str     ):
														lowerCamelCase__					:	Union[str, Any]         =       self
														for char in word:
																					if char not in curr.nodes:
																												return False
																					lowerCamelCase__					:	Any         =       curr.nodes[char]
														return curr.is_leaf




							def 		lowerCamelCase_				(							self:				str			,							UpperCamelCase__:				str     ):

														def _delete(UpperCamelCase__:				TrieNode			,							UpperCamelCase__:				str			,							UpperCamelCase__:				int     ) -> bool:
																					if index == len(UpperCamelCase__     ):
																												# If word does not exist
																												if not curr.is_leaf:
																																			return False
																												lowerCamelCase__					:	str         =       False
																												return len(curr.nodes     ) == 0
																					lowerCamelCase__					:	List[str]         =       word[index]
																					lowerCamelCase__					:	Dict         =       curr.nodes.get(UpperCamelCase__     )
																					# If char not in current trie node
																					if not char_node:
																												return False
																					# Flag to check if node can be deleted
																					lowerCamelCase__					:	List[Any]         =       _delete(UpperCamelCase__			,							UpperCamelCase__			,							index + 1     )
																					if delete_curr:
																												del curr.nodes[char]
																												return len(curr.nodes     ) == 0
																					return delete_curr

														_delete(self			,							UpperCamelCase__			,							0     )





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       None:
							if node.is_leaf:
														print(UpperCamelCase				,			end=""" """      )

							for key, value in node.nodes.items():
														print_words(UpperCamelCase				,			word + key      )





def  SCREAMING_SNAKE_CASE_       ()      ->       bool:
							lowerCamelCase__					:	str         =       """banana bananas bandana band apple all beast""".split()
							lowerCamelCase__					:	Union[str, Any]         =       TrieNode()
							root.insert_many(UpperCamelCase      )
							# print_words(root, "")
							assert all(root.find(UpperCamelCase      ) for word in words      )
							assert root.find("""banana"""      )
							assert not root.find("""bandanas"""      )
							assert not root.find("""apps"""      )
							assert root.find("""apple"""      )
							assert root.find("""all"""      )
							root.delete("""all"""      )
							assert not root.find("""all"""      )
							root.delete("""banana"""      )
							assert not root.find("""banana"""      )
							assert root.find("""bananas"""      )
							return True





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       None:
							print(str(UpperCamelCase      )				,			"""works!""" if passes else """doesn't work :("""      )





def  SCREAMING_SNAKE_CASE_       ()      ->       None:
							assert test_trie()





def  SCREAMING_SNAKE_CASE_       ()      ->       None:
							print_results("""Testing trie functionality"""				,			test_trie()      )


if __name__ == "__main__":
			main()

