






'''simple docstring'''




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation


lowerCAmelCase__          =						logging.get_logger(__name__)

lowerCAmelCase__          =						{'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase__          =						{
    'tokenizer_file': {
        'bigscience/tokenizer': 'https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json',
        'bigscience/bloom-560m': 'https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json',
        'bigscience/bloom-1b1': 'https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json',
        'bigscience/bloom-1b7': 'https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json',
        'bigscience/bloom-3b': 'https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json',
        'bigscience/bloom-7b1': 'https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json',
        'bigscience/bloom': 'https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json',
    },
}







class       __lowercase					(__lowerCamelCase    ):
	_lowerCamelCase              =  VOCAB_FILES_NAMES
	_lowerCamelCase              =  PRETRAINED_VOCAB_FILES_MAP
	_lowerCamelCase              =  ['''input_ids''', '''attention_mask''']
	_lowerCamelCase              =  None

	def __init__(      self   :						str  ,					UpperCAmelCase_   :						Optional[Any]=None  ,					UpperCAmelCase_   :						str=None  ,					UpperCAmelCase_   :						List[str]=None  ,					UpperCAmelCase_   :						Optional[int]="<unk>"  ,					UpperCAmelCase_   :						Union[str, Any]="<s>"  ,					UpperCAmelCase_   :						Optional[Any]="</s>"  ,					UpperCAmelCase_   :						Tuple="<pad>"  ,					UpperCAmelCase_   :						Optional[Any]=False  ,					UpperCAmelCase_   :						Optional[int]=False  ,					**UpperCAmelCase_   :						int  ,					):
			super().__init__(
			    UpperCAmelCase_  ,					UpperCAmelCase_  ,					tokenizer_file=UpperCAmelCase_  ,					unk_token=UpperCAmelCase_  ,					bos_token=UpperCAmelCase_  ,					eos_token=UpperCAmelCase_  ,					pad_token=UpperCAmelCase_  ,					add_prefix_space=UpperCAmelCase_  ,					clean_up_tokenization_spaces=UpperCAmelCase_  ,					**UpperCAmelCase_  ,					)
			UpperCamelCase__				:					int					=					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
			if pre_tok_state.get('add_prefix_space'  ,					UpperCAmelCase_) != add_prefix_space:
					UpperCamelCase__				:					List[str]					=					getattr(UpperCAmelCase_  ,					pre_tok_state.pop('type'))
					UpperCamelCase__				:					int					=					add_prefix_space
					UpperCamelCase__				:					List[str]					=					pre_tok_class(**UpperCAmelCase_)

			UpperCamelCase__				:					List[str]					=					add_prefix_space

	def      __UpperCamelCase							(      self   :						Optional[int]  ,					*UpperCAmelCase_   :						Any  ,					**UpperCAmelCase_   :						Tuple):
			UpperCamelCase__				:					int					=					kwargs.get('is_split_into_words'  ,					UpperCAmelCase_)
			if not (self.add_prefix_space or not is_split_into_words):
					raise Exception(
					    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
					    ' pretokenized inputs.')

			return super()._batch_encode_plus(*UpperCAmelCase_  ,					**UpperCAmelCase_)

	def      __UpperCamelCase							(      self   :						Optional[Any]  ,					*UpperCAmelCase_   :						int  ,					**UpperCAmelCase_   :						Dict):
			UpperCamelCase__				:					Any					=					kwargs.get('is_split_into_words'  ,					UpperCAmelCase_)

			if not (self.add_prefix_space or not is_split_into_words):
					raise Exception(
					    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
					    ' pretokenized inputs.')

			return super()._encode_plus(*UpperCAmelCase_  ,					**UpperCAmelCase_)

	def      __UpperCamelCase							(      self   :						Optional[Any]  ,					UpperCAmelCase_   :						str  ,					UpperCAmelCase_   :						Optional[str] = None):
			UpperCamelCase__				:					Any					=					self._tokenizer.model.save(UpperCAmelCase_  ,					name=UpperCAmelCase_)
			return tuple(UpperCAmelCase_)





	def      __UpperCamelCase							(      self   :						Union[str, Any]  ,					UpperCAmelCase_   :						"Conversation"):
			UpperCamelCase__				:					str					=					[]
			for is_user, text in conversation.iter_texts():
					input_ids.extend(self.encode(UpperCAmelCase_  ,					add_special_tokens=UpperCAmelCase_) + [self.eos_token_id])

			if len(UpperCAmelCase_) > self.model_max_length:
					UpperCamelCase__				:					Tuple					=					input_ids[-self.model_max_length :]
			return input_ids







'''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()




