




import copy
import os
from typing import TYPE_CHECKING, List, Union


if TYPE_CHECKING:
				pass

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


SCREAMING_SNAKE_CASE__     :     List[str]		    =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     :     Any		    =       {
    "kakaobrain/align-base": "https://huggingface.co/kakaobrain/align-base/resolve/main/config.json",
}



class       a_       (     SCREAMING_SNAKE_CASE__     ):
	A    							= '''align_text_model'''





	def __init__(							self      ,     SCREAMING_SNAKE_CASE=3_0522      ,     SCREAMING_SNAKE_CASE=768      ,     SCREAMING_SNAKE_CASE=12      ,     SCREAMING_SNAKE_CASE=12      ,     SCREAMING_SNAKE_CASE=3072      ,     SCREAMING_SNAKE_CASE="gelu"      ,     SCREAMING_SNAKE_CASE=0.1      ,     SCREAMING_SNAKE_CASE=0.1      ,     SCREAMING_SNAKE_CASE=512      ,     SCREAMING_SNAKE_CASE=2      ,     SCREAMING_SNAKE_CASE=0.0_2      ,     SCREAMING_SNAKE_CASE=1e-12      ,     SCREAMING_SNAKE_CASE=0      ,     SCREAMING_SNAKE_CASE="absolute"      ,     SCREAMING_SNAKE_CASE=True      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					Union[str, Any]:




				"""simple docstring"""



				super().__init__(**SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_								=						vocab_size
				SCREAMING_SNAKE_CASE_								=						hidden_size
				SCREAMING_SNAKE_CASE_								=						num_hidden_layers
				SCREAMING_SNAKE_CASE_								=						num_attention_heads
				SCREAMING_SNAKE_CASE_								=						hidden_act
				SCREAMING_SNAKE_CASE_								=						intermediate_size
				SCREAMING_SNAKE_CASE_								=						hidden_dropout_prob
				SCREAMING_SNAKE_CASE_								=						attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE_								=						max_position_embeddings
				SCREAMING_SNAKE_CASE_								=						type_vocab_size
				SCREAMING_SNAKE_CASE_								=						initializer_range
				SCREAMING_SNAKE_CASE_								=						layer_norm_eps
				SCREAMING_SNAKE_CASE_								=						position_embedding_type
				SCREAMING_SNAKE_CASE_								=						use_cache
				SCREAMING_SNAKE_CASE_								=						pad_token_id





	@classmethod
	def 						A_(							cls      ,     SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					"PretrainedConfig":




				"""simple docstring"""



				cls._set_token_in_kwargs(SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						cls.get_config_dict(SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )

				# get the text config dict if we are loading from AlignConfig
				if config_dict.get('model_type'      ) == "align":
							SCREAMING_SNAKE_CASE_								=						config_dict['text_config']

				if "model_type" in config_dict and hasattr(cls      ,     'model_type'      ) and config_dict["model_type"] != cls.model_type:
							logger.warning(
							    f'You are using a model of type {config_dict["model_type"]} to instantiate a model of type '
							    f'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'      )

				return cls.from_dict(SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )




class       a_       (     SCREAMING_SNAKE_CASE__     ):
	A    							= '''align_vision_model'''





	def __init__(							self      ,     SCREAMING_SNAKE_CASE = 3      ,     SCREAMING_SNAKE_CASE = 600      ,     SCREAMING_SNAKE_CASE = 2.0      ,     SCREAMING_SNAKE_CASE = 3.1      ,     SCREAMING_SNAKE_CASE = 8      ,     SCREAMING_SNAKE_CASE = [3, 3, 5, 3, 5, 5, 3]      ,     SCREAMING_SNAKE_CASE = [32, 16, 24, 40, 80, 112, 192]      ,     SCREAMING_SNAKE_CASE = [16, 24, 40, 80, 112, 192, 320]      ,     SCREAMING_SNAKE_CASE = []      ,     SCREAMING_SNAKE_CASE = [1, 2, 2, 2, 1, 2, 1]      ,     SCREAMING_SNAKE_CASE = [1, 2, 2, 3, 3, 4, 1]      ,     SCREAMING_SNAKE_CASE = [1, 6, 6, 6, 6, 6, 6]      ,     SCREAMING_SNAKE_CASE = 0.2_5      ,     SCREAMING_SNAKE_CASE = "swish"      ,     SCREAMING_SNAKE_CASE = 2560      ,     SCREAMING_SNAKE_CASE = "mean"      ,     SCREAMING_SNAKE_CASE = 0.0_2      ,     SCREAMING_SNAKE_CASE = 0.0_0_1      ,     SCREAMING_SNAKE_CASE = 0.9_9      ,     SCREAMING_SNAKE_CASE = 0.2      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					Optional[Any]:




				"""simple docstring"""



				super().__init__(**SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_								=						num_channels
				SCREAMING_SNAKE_CASE_								=						image_size
				SCREAMING_SNAKE_CASE_								=						width_coefficient
				SCREAMING_SNAKE_CASE_								=						depth_coefficient
				SCREAMING_SNAKE_CASE_								=						depth_divisor
				SCREAMING_SNAKE_CASE_								=						kernel_sizes
				SCREAMING_SNAKE_CASE_								=						in_channels
				SCREAMING_SNAKE_CASE_								=						out_channels
				SCREAMING_SNAKE_CASE_								=						depthwise_padding
				SCREAMING_SNAKE_CASE_								=						strides
				SCREAMING_SNAKE_CASE_								=						num_block_repeats
				SCREAMING_SNAKE_CASE_								=						expand_ratios
				SCREAMING_SNAKE_CASE_								=						squeeze_expansion_ratio
				SCREAMING_SNAKE_CASE_								=						hidden_act
				SCREAMING_SNAKE_CASE_								=						hidden_dim
				SCREAMING_SNAKE_CASE_								=						pooling_type
				SCREAMING_SNAKE_CASE_								=						initializer_range
				SCREAMING_SNAKE_CASE_								=						batch_norm_eps
				SCREAMING_SNAKE_CASE_								=						batch_norm_momentum
				SCREAMING_SNAKE_CASE_								=						drop_connect_rate
				SCREAMING_SNAKE_CASE_								=						sum(SCREAMING_SNAKE_CASE      ) * 4





	@classmethod
	def 						A_(							cls      ,     SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					"PretrainedConfig":




				"""simple docstring"""



				cls._set_token_in_kwargs(SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						cls.get_config_dict(SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )

				# get the vision config dict if we are loading from AlignConfig
				if config_dict.get('model_type'      ) == "align":
							SCREAMING_SNAKE_CASE_								=						config_dict['vision_config']

				if "model_type" in config_dict and hasattr(cls      ,     'model_type'      ) and config_dict["model_type"] != cls.model_type:
							logger.warning(
							    f'You are using a model of type {config_dict["model_type"]} to instantiate a model of type '
							    f'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'      )

				return cls.from_dict(SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )




class       a_       (     SCREAMING_SNAKE_CASE__     ):
	A    							= '''align'''
	A    							= True





	def __init__(							self      ,     SCREAMING_SNAKE_CASE=None      ,     SCREAMING_SNAKE_CASE=None      ,     SCREAMING_SNAKE_CASE=640      ,     SCREAMING_SNAKE_CASE=1.0      ,     SCREAMING_SNAKE_CASE=0.0_2      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					Union[str, Any]:




				"""simple docstring"""



				super().__init__(**SCREAMING_SNAKE_CASE      )

				if text_config is None:
							SCREAMING_SNAKE_CASE_								=						{}
							logger.info('text_config is None. Initializing the AlignTextConfig with default values.'      )

				if vision_config is None:
							SCREAMING_SNAKE_CASE_								=						{}
							logger.info('vision_config is None. Initializing the AlignVisionConfig with default values.'      )

				SCREAMING_SNAKE_CASE_								=						AlignTextConfig(**SCREAMING_SNAKE_CASE      )
				SCREAMING_SNAKE_CASE_								=						AlignVisionConfig(**SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_								=						projection_dim
				SCREAMING_SNAKE_CASE_								=						temperature_init_value
				SCREAMING_SNAKE_CASE_								=						initializer_range





	@classmethod
	def 						A_(							cls      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					Tuple:




				"""simple docstring"""



				return cls(text_config=text_config.to_dict()      ,     vision_config=vision_config.to_dict()      ,     **SCREAMING_SNAKE_CASE      )





	def 						A_(							self      )  ->					Optional[int]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						copy.deepcopy(self.__dict__      )
				SCREAMING_SNAKE_CASE_								=						self.text_config.to_dict()
				SCREAMING_SNAKE_CASE_								=						self.vision_config.to_dict()
				SCREAMING_SNAKE_CASE_								=						self.__class__.model_type
				return output






class       a_       :





	def __init__(							self      ,     SCREAMING_SNAKE_CASE = ""      ,     SCREAMING_SNAKE_CASE = False      )  ->					None:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						{}

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

				SCREAMING_SNAKE_CASE_								=						prefix





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					tuple[str, str, str]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						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 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				for word in words:
							self.insert(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				if self.prefix == word:
							SCREAMING_SNAKE_CASE_								=						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:
							SCREAMING_SNAKE_CASE_								=						RadixNode(prefix=SCREAMING_SNAKE_CASE      ,     is_leaf=SCREAMING_SNAKE_CASE      )

				else:
							SCREAMING_SNAKE_CASE_								=						self.nodes[word[0]]
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						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:
										SCREAMING_SNAKE_CASE_								=						remaining_prefix

										SCREAMING_SNAKE_CASE_								=						self.nodes[matching_string[0]]
										SCREAMING_SNAKE_CASE_								=						RadixNode(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      )
										SCREAMING_SNAKE_CASE_								=						aux_node

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					bool:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.nodes.get(word[0]      ,     SCREAMING_SNAKE_CASE      )
				if not incoming_node:
							return False
				else:
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						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 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					bool:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.nodes.get(word[0]      ,     SCREAMING_SNAKE_CASE      )
				if not incoming_node:
							return False
				else:
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						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:
																			SCREAMING_SNAKE_CASE_								=						list(self.nodes.values()      )[0]
																			SCREAMING_SNAKE_CASE_								=						merging_node.is_leaf
																			self.prefix += merging_node.prefix
																			SCREAMING_SNAKE_CASE_								=						merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
													elif len(incoming_node.nodes      ) > 1:
																SCREAMING_SNAKE_CASE_								=						False
													# If there is 1 edge, we merge it with its child
													else:
																SCREAMING_SNAKE_CASE_								=						list(incoming_node.nodes.values()      )[0]
																SCREAMING_SNAKE_CASE_								=						merging_node.is_leaf
																incoming_node.prefix += merging_node.prefix
																SCREAMING_SNAKE_CASE_								=						merging_node.nodes

													return True





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE = 0      )  ->					None:




				"""simple docstring"""



				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 lowercase    (  )			->							bool:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						'banana bananas bandana band apple all beast'.split()
			SCREAMING_SNAKE_CASE_								=						RadixNode()
			root.insert_many(SCREAMING_SNAKE_CASE )

			assert all(root.find(SCREAMING_SNAKE_CASE ) 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 lowercase    (  )			->							None:


			'''simple docstring'''







			assert test_trie()

def lowercase    (  )			->							None:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						RadixNode()
			SCREAMING_SNAKE_CASE_								=						'banana bananas bandanas bandana band apple all beast'.split()
			root.insert_many(SCREAMING_SNAKE_CASE )

			print('Words:'       ,    SCREAMING_SNAKE_CASE )
			print('Tree:' )
			root.print_tree()


if __name__ == "__main__":
				main()
