





'''simple docstring'''


import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


if TYPE_CHECKING:
       from ... import PreTrainedTokenizerBase, TensorType

_SCREAMING_SNAKE_CASE									=				logging.get_logger(__name__)

class  lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase    :				str								=       "vision-encoder-decoder"
 __lowerCamelCase    :				List[str]								=       True




 def __init__(						self      ,  **_lowerCAmelCase		)     ->				Union[str, Any]:
     super().__init__(**_lowerCAmelCase		)
     if "encoder" not in kwargs or "decoder" not in kwargs:
         raise ValueError(
             f'''A configuraton of type {self.model_type} cannot be instantiated because '''
             f'''not both `encoder` and `decoder` sub-configurations are passed, but only {kwargs}'''		)

     _lowerCAmelCase						      =   kwargs.pop("encoder"		)
     _lowerCAmelCase						      =   encoder_config.pop("model_type"		)
     _lowerCAmelCase						      =   kwargs.pop("decoder"		)
     _lowerCAmelCase						      =   decoder_config.pop("model_type"		)

     _lowerCAmelCase						      =   AutoConfig.for_model(_lowerCAmelCase      ,  **_lowerCAmelCase		)
     _lowerCAmelCase						      =   AutoConfig.for_model(_lowerCAmelCase      ,  **_lowerCAmelCase		)
     _lowerCAmelCase						      =   True




 @classmethod
 def 				_snake_case (						cls      ,  _lowerCAmelCase      ,  _lowerCAmelCase      ,  **_lowerCAmelCase		)     ->				PretrainedConfig:
     logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"		)
     _lowerCAmelCase						      =   True
     _lowerCAmelCase						      =   True

     return cls(encoder=encoder_config.to_dict()      ,  decoder=decoder_config.to_dict()      ,  **_lowerCAmelCase		)





 def 				_snake_case (						self		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   copy.deepcopy(self.__dict__		)
     _lowerCAmelCase						      =   self.encoder.to_dict()
     _lowerCAmelCase						      =   self.decoder.to_dict()
     _lowerCAmelCase						      =   self.__class__.model_type
     return output







class  lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase    :				str								=       version.parse("1.11"		)




 @property
 def 				_snake_case (						self		)     ->				Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]		)




 @property
 def 				_snake_case (						self		)     ->				float:
     return 1E-4





 @property
 def 				_snake_case (						self		)     ->				Mapping[str, Mapping[int, str]]:
     return OrderedDict({"last_hidden_state": {0: "batch", 1: "encoder_sequence"}}		)







class  lowerCAmelCase_		(		__magic_name__		):




 @property
 def 				_snake_case (						self		)     ->				Mapping[str, Mapping[int, str]]:
     _lowerCAmelCase						      =   OrderedDict()
     _lowerCAmelCase						      =   {0: "batch", 1: "past_decoder_sequence + sequence"}
     _lowerCAmelCase						      =   {0: "batch", 1: "past_decoder_sequence + sequence"}
     _lowerCAmelCase						      =   {0: "batch", 1: "encoder_sequence"}

     return common_inputs





 def 				_snake_case (						self      ,  _lowerCAmelCase      ,  _lowerCAmelCase = -1      ,  _lowerCAmelCase = -1      ,  _lowerCAmelCase = False      ,  _lowerCAmelCase = None      ,  )     ->				Mapping[str, Any]:
     import torch

     _lowerCAmelCase						      =   OrderedDict()

     _lowerCAmelCase						      =   super().generate_dummy_inputs(
         _lowerCAmelCase      ,  batch_size=_lowerCAmelCase      ,  seq_length=_lowerCAmelCase      ,  is_pair=_lowerCAmelCase      ,  framework=_lowerCAmelCase		)

     _lowerCAmelCase      ,      _lowerCAmelCase						      =   dummy_input["input_ids"].shape
     _lowerCAmelCase						      =   (batch, encoder_sequence, self._config.encoder_hidden_size)
     _lowerCAmelCase						      =   dummy_input.pop("input_ids"		)
     _lowerCAmelCase						      =   dummy_input.pop("attention_mask"		)
     _lowerCAmelCase						      =   torch.zeros(_lowerCAmelCase		)

     return common_inputs







class  lowerCAmelCase_		(		__magic_name__		):




 @property
 def 				_snake_case (						self		)     ->				None:
     pass




 def 				_snake_case (						self      ,  _lowerCAmelCase		)     ->				OnnxConfig:
     return VisionEncoderDecoderEncoderOnnxConfig(_lowerCAmelCase		)





 def 				_snake_case (						self      ,  _lowerCAmelCase      ,  _lowerCAmelCase      ,  _lowerCAmelCase = "default"		)     ->				OnnxConfig:
     _lowerCAmelCase						      =   encoder_config.hidden_size
     return VisionEncoderDecoderDecoderOnnxConfig(_lowerCAmelCase      ,  _lowerCAmelCase		)







"""simple docstring"""







class       UpperCamelCase__			:

			"""simple docstring"""


			def __init__(      self						,	SCREAMING_SNAKE_CASE__ = ""						,	SCREAMING_SNAKE_CASE__ = False		)      ->	None:
				# Mapping from the first character of the prefix of the node
				A__											=					{}

				# A node will be a leaf if the tree contains its word
				A__											=					is_leaf

				A__											=					prefix


			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__		)      ->	tuple[str, str, str]:
				A__											=					0
				for q, w in zip(self.prefix						,	SCREAMING_SNAKE_CASE__		):
					if q != w:
						break

					x += 1

				return self.prefix[:x], self.prefix[x:], word[x:]


			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__		)      ->	None:
				for word in words:
					self.insert(SCREAMING_SNAKE_CASE__		)


			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__		)      ->	None:
				# Case 1: If the word is the prefix of the node
				# Solution: We set the current node as leaf
				if self.prefix == word:
					A__											=					True

				# Case 2: The node has no edges that have a prefix to the word
				# Solution: We create an edge from the current node to a new one
				# containing the word
				elif word[0] not in self.nodes:
					A__											=					RadixNode(prefix=SCREAMING_SNAKE_CASE__						,	is_leaf=SCREAMING_SNAKE_CASE__		)

				else:
					A__											=					self.nodes[word[0]]
					A__							,							A__							,							A__											=					incoming_node.match(
					    SCREAMING_SNAKE_CASE__		)

					# Case 3: The node prefix is equal to the matching
					# Solution: We insert remaining word on the next node
					if remaining_prefix == "":
						self.nodes[matching_string[0]].insert(SCREAMING_SNAKE_CASE__		)

					# Case 4: The word is greater equal to the matching
					# Solution: Create a node in between both nodes, change
					# prefixes and add the new node for the remaining word
					else:
						A__											=					remaining_prefix

						A__											=					self.nodes[matching_string[0]]
						A__											=					RadixNode(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)
						A__											=					aux_node

						if remaining_word == "":
							A__											=					True
						else:
							self.nodes[matching_string[0]].insert(SCREAMING_SNAKE_CASE__		)


			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__		)      ->	bool:
				A__											=					self.nodes.get(word[0]						,	SCREAMING_SNAKE_CASE__		)
				if not incoming_node:
					return False
				else:
					A__							,							A__							,							A__											=					incoming_node.match(
					    SCREAMING_SNAKE_CASE__		)
					# If there is remaining prefix, the word can't be on the tree
					if remaining_prefix != "":
						return False
					# This applies when the word and the prefix are equal
					elif remaining_word == "":
						return incoming_node.is_leaf
					# We have word remaining so we check the next node
					else:
						return incoming_node.find(SCREAMING_SNAKE_CASE__		)


			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__		)      ->	bool:
				A__											=					self.nodes.get(word[0]						,	SCREAMING_SNAKE_CASE__		)
				if not incoming_node:
					return False
				else:
					A__							,							A__							,							A__											=					incoming_node.match(
					    SCREAMING_SNAKE_CASE__		)
					# If there is remaining prefix, the word can't be on the tree
					if remaining_prefix != "":
						return False
					# We have word remaining so we check the next node
					elif remaining_word != "":
						return incoming_node.delete(SCREAMING_SNAKE_CASE__		)
					else:
						# If it is not a leaf, we don't have to delete
						if not incoming_node.is_leaf:
							return False
						else:
							# We delete the nodes if no edges go from it
							if len(incoming_node.nodes		) == 0:
								del self.nodes[word[0]]
								# We merge the current node with its only child
								if len(self.nodes		) == 1 and not self.is_leaf:
									A__											=					list(self.nodes.values()		)[0]
									A__											=					merging_node.is_leaf
									self.prefix += merging_node.prefix
									A__											=					merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
							elif len(incoming_node.nodes		) > 1:
								A__											=					False
							# If there is 1 edge, we merge it with its child
							else:
								A__											=					list(incoming_node.nodes.values()		)[0]
								A__											=					merging_node.is_leaf
								incoming_node.prefix += merging_node.prefix
								A__											=					merging_node.nodes

							return True







			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__ = 0		)      ->	None:
				if self.prefix != "":
					print("-" * height						,	self.prefix						,	"  (leaf)" if self.is_leaf else ""		)

				for value in self.nodes.values():
					value.print_tree(height + 1		)



def       _lowerCamelCase				(							)	-> bool:






	"""simple docstring"""





	A__											=					"banana bananas bandana band apple all beast".split()
	A__											=					RadixNode()
	root.insert_many(UpperCAmelCase_     )

	assert all(root.find(UpperCAmelCase_     ) for word in words     )
	assert not root.find("bandanas"     )
	assert not root.find("apps"     )
	root.delete("all"     )
	assert not root.find("all"     )
	root.delete("banana"     )
	assert not root.find("banana"     )
	assert root.find("bananas"     )

	return True

def       _lowerCamelCase				(							)	-> None:






	"""simple docstring"""





	assert test_trie()

def       _lowerCamelCase				(							)	-> None:






	"""simple docstring"""





	A__											=					RadixNode()
	A__											=					"banana bananas bandanas bandana band apple all beast".split()
	root.insert_many(UpperCAmelCase_     )

	print("Words:",	UpperCAmelCase_     )
	print("Tree:"     )
	root.print_tree()


if __name__ == "__main__":
			main()




