
"""simple docstring"""

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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
					from transformers.pipelines.conversational import Conversation

_A				=					logging.get_logger(__name__)

_A				=					{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

_A				=					{
    'vocab_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'
        ),
    },
}

_A				=					{
    'microsoft/deberta-base': 5_1_2,
    'microsoft/deberta-large': 5_1_2,
    'microsoft/deberta-xlarge': 5_1_2,
    'microsoft/deberta-base-mnli': 5_1_2,
    'microsoft/deberta-large-mnli': 5_1_2,
    'microsoft/deberta-xlarge-mnli': 5_1_2,
}

_A				=					{
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}
def 						UpperCAmelCase   (						):





		'''simple docstring'''


		lowerCamelCase	:     Union[str, Any]            =       (
		    list(range(ord('!'     ),		ord('~'     ) + 1     )     ) + list(range(ord('¡'     ),		ord('¬'     ) + 1     )     ) + list(range(ord('®'     ),		ord('ÿ'     ) + 1     )     )
		)
		lowerCamelCase	:     List[Any]            =       bs[:]
		lowerCamelCase	:     Optional[int]            =       0
		for b in range(2**8     ):
				if b not in bs:
						bs.append(a_     )
						cs.append(2**8 + n     )
						n += 1
		lowerCamelCase	:     Dict            =       [chr(a_     ) for n in cs]
		return dict(zip(a_,		a_     )     )
def 						UpperCAmelCase   (						a_     ):





		'''simple docstring'''


		lowerCamelCase	:     Any            =       set()
		lowerCamelCase	:     Tuple            =       word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)     )
				lowerCamelCase	:     Optional[Any]            =       char
		return pairs






class 			_lowercase  (							__UpperCAmelCase						):
	lowercase_								=      VOCAB_FILES_NAMES
	lowercase_								=      PRETRAINED_VOCAB_FILES_MAP
	lowercase_								=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowercase_								=      ['input_ids', 'attention_mask', 'token_type_ids']




	def __init__(					self						,					UpperCAmelCase_						,					UpperCAmelCase_						,					UpperCAmelCase_="replace"						,					UpperCAmelCase_="[CLS]"						,					UpperCAmelCase_="[SEP]"						,					UpperCAmelCase_="[SEP]"						,					UpperCAmelCase_="[CLS]"						,					UpperCAmelCase_="[UNK]"						,					UpperCAmelCase_="[PAD]"						,					UpperCAmelCase_="[MASK]"						,					UpperCAmelCase_=False						,					UpperCAmelCase_=False						,					**UpperCAmelCase_						,					)						->				List[Any]:
			lowerCamelCase	:     List[Any]            =       AddedToken(UpperCAmelCase_						,					lstrip=UpperCAmelCase_						,					rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_						,					UpperCAmelCase_   ) else bos_token
			lowerCamelCase	:     Any            =       AddedToken(UpperCAmelCase_						,					lstrip=UpperCAmelCase_						,					rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_						,					UpperCAmelCase_   ) else eos_token
			lowerCamelCase	:     Tuple            =       AddedToken(UpperCAmelCase_						,					lstrip=UpperCAmelCase_						,					rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_						,					UpperCAmelCase_   ) else sep_token
			lowerCamelCase	:     Optional[int]            =       AddedToken(UpperCAmelCase_						,					lstrip=UpperCAmelCase_						,					rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_						,					UpperCAmelCase_   ) else cls_token
			lowerCamelCase	:     List[Any]            =       AddedToken(UpperCAmelCase_						,					lstrip=UpperCAmelCase_						,					rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_						,					UpperCAmelCase_   ) else unk_token
			lowerCamelCase	:     Tuple            =       AddedToken(UpperCAmelCase_						,					lstrip=UpperCAmelCase_						,					rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_						,					UpperCAmelCase_   ) else pad_token

			# Mask token behave like a normal word, i.e. include the space before it
			lowerCamelCase	:     str            =       AddedToken(UpperCAmelCase_						,					lstrip=UpperCAmelCase_						,					rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_						,					UpperCAmelCase_   ) else mask_token

			super().__init__(
			    errors=UpperCAmelCase_						,					bos_token=UpperCAmelCase_						,					eos_token=UpperCAmelCase_						,					unk_token=UpperCAmelCase_						,					sep_token=UpperCAmelCase_						,					cls_token=UpperCAmelCase_						,					pad_token=UpperCAmelCase_						,					mask_token=UpperCAmelCase_						,					add_prefix_space=UpperCAmelCase_						,					add_bos_token=UpperCAmelCase_						,					**UpperCAmelCase_						,					)
			lowerCamelCase	:     Any            =       add_bos_token

			with open(UpperCAmelCase_						,					encoding='utf-8'   ) as vocab_handle:
					lowerCamelCase	:     str            =       json.load(UpperCAmelCase_   )
			lowerCamelCase	:     Any            =       {v: k for k, v in self.encoder.items()}
			lowerCamelCase	:     List[Any]            =       errors  # how to handle errors in decoding
			lowerCamelCase	:     List[Any]            =       bytes_to_unicode()
			lowerCamelCase	:     str            =       {v: k for k, v in self.byte_encoder.items()}
			with open(UpperCAmelCase_						,					encoding='utf-8'   ) as merges_handle:
					lowerCamelCase	:     Optional[int]            =       merges_handle.read().split('\n'   )[1:-1]
			lowerCamelCase	:     List[str]            =       [tuple(merge.split()   ) for merge in bpe_merges]
			lowerCamelCase	:     Union[str, Any]            =       dict(zip(UpperCAmelCase_						,					range(len(UpperCAmelCase_   )   )   )   )
			lowerCamelCase	:     List[str]            =       {}
			lowerCamelCase	:     Optional[int]            =       add_prefix_space

			# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
			lowerCamelCase	:     Union[str, Any]            =       re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'   )




	@property
	# Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
	def      _UpperCamelCase       (					self   )						->				Tuple:
			return len(self.encoder   )




	def      _UpperCamelCase       (					self   )						->				Dict:
			return dict(self.encoder						,					**self.added_tokens_encoder   )




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_   )						->				Dict:
			if token in self.cache:
					return self.cache[token]
			lowerCamelCase	:     str            =       tuple(UpperCAmelCase_   )
			lowerCamelCase	:     List[str]            =       get_pairs(UpperCAmelCase_   )

			if not pairs:
					return token

			while True:
					lowerCamelCase	:     str            =       min(UpperCAmelCase_						,					key=lambda UpperCAmelCase_   : self.bpe_ranks.get(UpperCAmelCase_						,					float('inf'   )   )   )
					if bigram not in self.bpe_ranks:
							break
					lowerCamelCase      ,       lowerCamelCase	:     Any            =       bigram
					lowerCamelCase	:     Optional[Any]            =       []
					lowerCamelCase	:     Optional[Any]            =       0
					while i < len(UpperCAmelCase_   ):
							try:
									lowerCamelCase	:     str            =       word.index(UpperCAmelCase_						,					UpperCAmelCase_   )
							except ValueError:
									new_word.extend(word[i:]   )
									break
							else:
									new_word.extend(word[i:j]   )
									lowerCamelCase	:     Optional[int]            =       j

							if word[i] == first and i < len(UpperCAmelCase_   ) - 1 and word[i + 1] == second:
									new_word.append(first + second   )
									i += 2
							else:
									new_word.append(word[i]   )
									i += 1
					lowerCamelCase	:     Dict            =       tuple(UpperCAmelCase_   )
					lowerCamelCase	:     List[Any]            =       new_word
					if len(UpperCAmelCase_   ) == 1:
							break
					else:
							lowerCamelCase	:     Optional[int]            =       get_pairs(UpperCAmelCase_   )
			lowerCamelCase	:     List[Any]            =       ' '.join(UpperCAmelCase_   )
			lowerCamelCase	:     Tuple            =       word
			return word




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_						,					UpperCAmelCase_ = None   )						->				List[int]:
			if token_ids_a is None:
					return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
			lowerCamelCase	:     Any            =       [self.cls_token_id]
			lowerCamelCase	:     Union[str, Any]            =       [self.sep_token_id]
			return cls + token_ids_a + sep + token_ids_a + sep




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_						,					UpperCAmelCase_ = None						,					UpperCAmelCase_ = False   )						->				List[int]:
			if already_has_special_tokens:
					return super().get_special_tokens_mask(
					    token_ids_a=UpperCAmelCase_						,					token_ids_a=UpperCAmelCase_						,					already_has_special_tokens=UpperCAmelCase_   )

			if token_ids_a is None:
					return [1] + ([0] * len(UpperCAmelCase_   )) + [1]
			return [1] + ([0] * len(UpperCAmelCase_   )) + [1] + ([0] * len(UpperCAmelCase_   )) + [1]




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_						,					UpperCAmelCase_ = None   )						->				List[int]:
			lowerCamelCase	:     Optional[int]            =       [self.sep_token_id]
			lowerCamelCase	:     Optional[int]            =       [self.cls_token_id]

			if token_ids_a is None:
					return len(cls + token_ids_a + sep   ) * [0]
			return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_   )						->				Union[str, Any]:
			lowerCamelCase	:     Any            =       []
			for token in re.findall(self.pat						,					UpperCAmelCase_   ):
					lowerCamelCase	:     Any            =       ''.join(
					    self.byte_encoder[b] for b in token.encode('utf-8'   )   )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
					bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCAmelCase_   ).split(' '   )   )
			return bpe_tokens




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_   )						->				List[Any]:
			return self.encoder.get(UpperCAmelCase_						,					self.encoder.get(self.unk_token   )   )




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_   )						->				List[str]:
			return self.decoder.get(UpperCAmelCase_   )




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_   )						->				List[str]:
			lowerCamelCase	:     Tuple            =       ''.join(UpperCAmelCase_   )
			lowerCamelCase	:     int            =       bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'						,					errors=self.errors   )
			return text




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_						,					UpperCAmelCase_ = None   )						->				Tuple[str]:
			if not os.path.isdir(UpperCAmelCase_   ):
					logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
					return
			lowerCamelCase	:     List[Any]            =       os.path.join(
			    UpperCAmelCase_						,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
			lowerCamelCase	:     Union[str, Any]            =       os.path.join(
			    UpperCAmelCase_						,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']   )

			with open(UpperCAmelCase_						,					'w'						,					encoding='utf-8'   ) as f:
					f.write(json.dumps(self.encoder						,					indent=2						,					sort_keys=UpperCAmelCase_						,					ensure_ascii=UpperCAmelCase_   ) + '\n'   )

			lowerCamelCase	:     str            =       0
			with open(UpperCAmelCase_						,					'w'						,					encoding='utf-8'   ) as writer:
					writer.write('#version: 0.2\n'   )
					for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,					key=lambda UpperCAmelCase_   : kv[1]   ):
							if index != token_index:
									logger.warning(
									    F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
									    ' Please check that the tokenizer is not corrupted!'   )
									lowerCamelCase	:     Optional[int]            =       token_index
							writer.write(' '.join(UpperCAmelCase_   ) + '\n'   )
							index += 1

			return vocab_file, merge_file




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_						,					UpperCAmelCase_=False						,					**UpperCAmelCase_   )						->				Union[str, Any]:
			lowerCamelCase	:     str            =       kwargs.pop('add_prefix_space'						,					self.add_prefix_space   )
			if (is_split_into_words or add_prefix_space) and (len(UpperCAmelCase_   ) > 0 and not text[0].isspace()):
					lowerCamelCase	:     List[Any]            =       ' ' + text
			return (text, kwargs)




	def      _UpperCamelCase       (					self						,					UpperCAmelCase_   )						->				List[int]:
			lowerCamelCase	:     List[Any]            =       []
			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:
					lowerCamelCase	:     Dict            =       input_ids[-self.model_max_length :]
			return input_ids








"""simple docstring"""

from __future__ import annotations

from queue import Queue
def 						UpperCAmelCase   (						a_,		a_     ):





		'''simple docstring'''


		a ^= b
		b ^= a
		a ^= b
		return a, b
def 						UpperCAmelCase   (						a_,		a_     ):





		'''simple docstring'''


		lowerCamelCase	:     int            =       1
		while (1 << j) < max_node:
				for i in range(1,		max_node + 1     ):
						lowerCamelCase	:     Tuple            =       parent[j - 1][parent[j - 1][i]]
				j += 1
		return parent
def 						UpperCAmelCase   (						a_,		a_,		a_,		a_     ):





		'''simple docstring'''


		if level[u] < level[v]:
				lowerCamelCase      ,       lowerCamelCase	:     List[Any]            =       swap(a_,		a_     )
		# making depth of u same as depth of v
		for i in range(18,		-1,		-1     ):
				if level[u] - (1 << i) >= level[v]:
						lowerCamelCase	:     int            =       parent[i][u]
    # at the same depth if u==v that mean lca is found
		if u == v:
				return u
		# moving both nodes upwards till lca in found
		for i in range(18,		-1,		-1     ):
				if parent[i][u] not in [0, parent[i][v]]:
						lowerCamelCase      ,       lowerCamelCase	:     str            =       parent[i][u], parent[i][v]
    # returning longest common ancestor of u,v
		return parent[0][u]
def 						UpperCAmelCase   (						a_,		a_,		a_,		a_,		a_ = 1,		):





		'''simple docstring'''


		lowerCamelCase	:     Any            =       0
		lowerCamelCase	:     Queue[int]            =       Queue(maxsize=a_     )
		q.put(a_     )
		while q.qsize() != 0:
				lowerCamelCase	:     Tuple            =       q.get()
				for v in graph[u]:
						if level[v] == -1:
								lowerCamelCase	:     Optional[Any]            =       level[u] + 1
								q.put(a_     )
								lowerCamelCase	:     str            =       u
		return level, parent
def 						UpperCAmelCase   (						):





		'''simple docstring'''


		lowerCamelCase	:     Any            =       13
		# initializing with 0
		lowerCamelCase	:     Dict            =       [[0 for _ in range(max_node + 10     )] for _ in range(20     )]
		# initializing with -1 which means every node is unvisited
		lowerCamelCase	:     List[Any]            =       [-1 for _ in range(max_node + 10     )]
		lowerCamelCase	:     dict[int, list[int]]            =       {
		    1: [2, 3, 4],
		    2: [5],
		    3: [6, 7],
		    4: [8],
		    5: [9, 10],
		    6: [11],
		    7: [],
		    8: [12, 13],
		    9: [],
		    10: [],
		    11: [],
		    12: [],
		    13: [],
		}
		lowerCamelCase      ,       lowerCamelCase	:     Dict            =       breadth_first_search(a_,		a_,		a_,		a_,		1     )
		lowerCamelCase	:     List[Any]            =       create_sparse(a_,		a_     )
		print('LCA of node 1 and 3 is: ',		lowest_common_ancestor(1,		3,		a_,		a_     )     )
		print('LCA of node 5 and 6 is: ',		lowest_common_ancestor(5,		6,		a_,		a_     )     )
		print('LCA of node 7 and 11 is: ',		lowest_common_ancestor(7,		11,		a_,		a_     )     )
		print('LCA of node 6 and 7 is: ',		lowest_common_ancestor(6,		7,		a_,		a_     )     )
		print('LCA of node 4 and 12 is: ',		lowest_common_ancestor(4,		12,		a_,		a_     )     )
		print('LCA of node 8 and 8 is: ',		lowest_common_ancestor(8,		8,		a_,		a_     )     )


if __name__ == "__main__":
					main()






