






'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


lowerCAmelCase__          =						logging.get_logger(__name__)

lowerCAmelCase__          =						{
    'microsoft/table-transformer-detection': (
        'https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'
    ),
}







class       __lowercase					(__lowerCamelCase    ):
	_lowerCamelCase              =  '''table-transformer'''
	_lowerCamelCase              =  ['''past_key_values''']
	_lowerCamelCase              =  {
	    '''hidden_size''': '''d_model''',
	    '''num_attention_heads''': '''encoder_attention_heads''',
	}

	def __init__(      self   :						int  ,					UpperCAmelCase_   :						Dict=True  ,					UpperCAmelCase_   :						Optional[int]=None  ,					UpperCAmelCase_   :						Any=3  ,					UpperCAmelCase_   :						List[str]=100  ,					UpperCAmelCase_   :						Tuple=6  ,					UpperCAmelCase_   :						List[str]=2_048  ,					UpperCAmelCase_   :						str=8  ,					UpperCAmelCase_   :						Optional[int]=6  ,					UpperCAmelCase_   :						Tuple=2_048  ,					UpperCAmelCase_   :						Optional[int]=8  ,					UpperCAmelCase_   :						Tuple=0.0  ,					UpperCAmelCase_   :						Optional[int]=0.0  ,					UpperCAmelCase_   :						str=True  ,					UpperCAmelCase_   :						str="relu"  ,					UpperCAmelCase_   :						Dict=256  ,					UpperCAmelCase_   :						Union[str, Any]=0.1  ,					UpperCAmelCase_   :						List[str]=0.0  ,					UpperCAmelCase_   :						Tuple=0.0  ,					UpperCAmelCase_   :						Tuple=0.02  ,					UpperCAmelCase_   :						Dict=1.0  ,					UpperCAmelCase_   :						Dict=False  ,					UpperCAmelCase_   :						int="sine"  ,					UpperCAmelCase_   :						Dict="resnet50"  ,					UpperCAmelCase_   :						Dict=True  ,					UpperCAmelCase_   :						int=False  ,					UpperCAmelCase_   :						str=1  ,					UpperCAmelCase_   :						Optional[int]=5  ,					UpperCAmelCase_   :						List[str]=2  ,					UpperCAmelCase_   :						Optional[Any]=1  ,					UpperCAmelCase_   :						str=1  ,					UpperCAmelCase_   :						str=5  ,					UpperCAmelCase_   :						Dict=2  ,					UpperCAmelCase_   :						Tuple=0.1  ,					**UpperCAmelCase_   :						Tuple  ,					):
			if backbone_config is not None and use_timm_backbone:
					raise ValueError('You can\'t specify both `backbone_config` and `use_timm_backbone`.')

			if not use_timm_backbone:
					if backbone_config is None:
							logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.')
							UpperCamelCase__				:					Tuple					=					CONFIG_MAPPING['resnet'](out_features=['stage4'])
					elif isinstance(UpperCAmelCase_  ,					UpperCAmelCase_):
							UpperCamelCase__				:					Optional[Any]					=					backbone_config.get('model_type')
							UpperCamelCase__				:					Union[str, Any]					=					CONFIG_MAPPING[backbone_model_type]
							UpperCamelCase__				:					Union[str, Any]					=					config_class.from_dict(UpperCAmelCase_)
					# set timm attributes to None
					UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__				:					Union[str, Any]					=					None, None, None

			UpperCamelCase__				:					Any					=					use_timm_backbone
			UpperCamelCase__				:					str					=					backbone_config
			UpperCamelCase__				:					Dict					=					num_channels
			UpperCamelCase__				:					Optional[Any]					=					num_queries
			UpperCamelCase__				:					List[str]					=					d_model
			UpperCamelCase__				:					List[Any]					=					encoder_ffn_dim
			UpperCamelCase__				:					str					=					encoder_layers
			UpperCamelCase__				:					Dict					=					encoder_attention_heads
			UpperCamelCase__				:					str					=					decoder_ffn_dim
			UpperCamelCase__				:					Any					=					decoder_layers
			UpperCamelCase__				:					Optional[Any]					=					decoder_attention_heads
			UpperCamelCase__				:					Optional[int]					=					dropout
			UpperCamelCase__				:					Tuple					=					attention_dropout
			UpperCamelCase__				:					Tuple					=					activation_dropout
			UpperCamelCase__				:					Dict					=					activation_function
			UpperCamelCase__				:					int					=					init_std
			UpperCamelCase__				:					int					=					init_xavier_std
			UpperCamelCase__				:					Optional[int]					=					encoder_layerdrop
			UpperCamelCase__				:					List[Any]					=					decoder_layerdrop
			UpperCamelCase__				:					Any					=					encoder_layers
			UpperCamelCase__				:					Union[str, Any]					=					auxiliary_loss
			UpperCamelCase__				:					Optional[int]					=					position_embedding_type
			UpperCamelCase__				:					Any					=					backbone
			UpperCamelCase__				:					Optional[int]					=					use_pretrained_backbone
			UpperCamelCase__				:					Tuple					=					dilation
			# Hungarian matcher
			UpperCamelCase__				:					List[Any]					=					class_cost
			UpperCamelCase__				:					Any					=					bbox_cost
			UpperCamelCase__				:					str					=					giou_cost
			# Loss coefficients
			UpperCamelCase__				:					List[Any]					=					mask_loss_coefficient
			UpperCamelCase__				:					Optional[int]					=					dice_loss_coefficient
			UpperCamelCase__				:					str					=					bbox_loss_coefficient
			UpperCamelCase__				:					Union[str, Any]					=					giou_loss_coefficient
			UpperCamelCase__				:					Any					=					eos_coefficient
			super().__init__(is_encoder_decoder=UpperCAmelCase_  ,					**UpperCAmelCase_)

	@property
	def      __UpperCamelCase							(      self   :						Any):
			return self.encoder_attention_heads





	@property
	def      __UpperCamelCase							(      self   :						List[Any]):
			return self.d_model







class       __lowercase					(__lowerCamelCase    ):
	_lowerCamelCase              =  version.parse('''1.11'''    )

	@property
	def      __UpperCamelCase							(      self   :						List[Any]):
			return OrderedDict(
			    [
			        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
			        ('pixel_mask', {0: 'batch'}),
			    ])

	@property
	def      __UpperCamelCase							(      self   :						Dict):
			return 1e-5





	@property
	def      __UpperCamelCase							(      self   :						List[Any]):
			return 12












'''simple docstring'''




class       __lowercase					:

	def __init__(      self   :						List[str]  ,					UpperCAmelCase_   :						str = ""  ,					UpperCAmelCase_   :						bool = False):
			# Mapping from the first character of the prefix of the node
			UpperCamelCase__				:					dict[str, RadixNode]					=					{}

			# A node will be a leaf if the tree contains its word
			UpperCamelCase__				:					List[Any]					=					is_leaf

			UpperCamelCase__				:					Optional[Any]					=					prefix

	def      __UpperCamelCase							(      self   :						List[Any]  ,					UpperCAmelCase_   :						str):
			UpperCamelCase__				:					Optional[int]					=					0
			for q, w in zip(self.prefix  ,					UpperCAmelCase_):
					if q != w:
							break

					x += 1

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

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

	def      __UpperCamelCase							(      self   :						Optional[int]  ,					UpperCAmelCase_   :						str):
			# Case 1: If the word is the prefix of the node
			# Solution: We set the current node as leaf
			if self.prefix == word:
					UpperCamelCase__				:					Optional[Any]					=					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:
					UpperCamelCase__				:					Optional[Any]					=					RadixNode(prefix=UpperCAmelCase_  ,					is_leaf=UpperCAmelCase_)

			else:
					UpperCamelCase__				:					int					=					self.nodes[word[0]]
					UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__				:					List[Any]					=					incoming_node.match(
					    UpperCAmelCase_)

					# 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(UpperCAmelCase_)

					# 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:
							UpperCamelCase__				:					Tuple					=					remaining_prefix

							UpperCamelCase__				:					str					=					self.nodes[matching_string[0]]
							UpperCamelCase__				:					Optional[Any]					=					RadixNode(UpperCAmelCase_  ,					UpperCAmelCase_)
							UpperCamelCase__				:					str					=					aux_node

							if remaining_word == "":
									UpperCamelCase__				:					int					=					True
							else:
									self.nodes[matching_string[0]].insert(UpperCAmelCase_)

	def      __UpperCamelCase							(      self   :						Union[str, Any]  ,					UpperCAmelCase_   :						str):
			UpperCamelCase__				:					Optional[Any]					=					self.nodes.get(word[0]  ,					UpperCAmelCase_)
			if not incoming_node:
					return False
			else:
					UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__				:					int					=					incoming_node.match(
					    UpperCAmelCase_)
					# 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(UpperCAmelCase_)

	def      __UpperCamelCase							(      self   :						str  ,					UpperCAmelCase_   :						str):
			UpperCamelCase__				:					Optional[int]					=					self.nodes.get(word[0]  ,					UpperCAmelCase_)
			if not incoming_node:
					return False
			else:
					UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__				:					Union[str, Any]					=					incoming_node.match(
					    UpperCAmelCase_)
					# 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(UpperCAmelCase_)
					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:
													UpperCamelCase__				:					List[str]					=					list(self.nodes.values())[0]
													UpperCamelCase__				:					Tuple					=					merging_node.is_leaf
													self.prefix += merging_node.prefix
													UpperCamelCase__				:					Tuple					=					merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
									elif len(incoming_node.nodes) > 1:
											UpperCamelCase__				:					str					=					False
									# If there is 1 edge, we merge it with its child
									else:
											UpperCamelCase__				:					List[Any]					=					list(incoming_node.nodes.values())[0]
											UpperCamelCase__				:					Optional[Any]					=					merging_node.is_leaf
											incoming_node.prefix += merging_node.prefix
											UpperCamelCase__				:					Union[str, Any]					=					merging_node.nodes

									return True





	def      __UpperCamelCase							(      self   :						str  ,					UpperCAmelCase_   :						int = 0):
			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       __UpperCAmelCase						(  )							->     bool:
		UpperCamelCase__				:					Union[str, Any]					=					'banana bananas bandana band apple all beast'.split()
		UpperCamelCase__				:					List[Any]					=					RadixNode()
		root.insert_many(lowerCamelCase_)

		assert all(root.find(lowerCamelCase_) 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       __UpperCAmelCase						(  )							->     None:
		assert test_trie()







def       __UpperCAmelCase						(  )							->     None:
		UpperCamelCase__				:					List[Any]					=					RadixNode()
		UpperCamelCase__				:					List[str]					=					'banana bananas bandanas bandana band apple all beast'.split()
		root.insert_many(lowerCamelCase_)

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


if __name__ == "__main__":
		main()




