


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

UpperCamelCase			:					Dict         =							logging.get_logger(__name__)

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

UpperCamelCase			:					Optional[int]         =							{
    '''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'''
        ),
    },
}

UpperCamelCase			:					int         =							{
    '''microsoft/deberta-base''': 512,
    '''microsoft/deberta-large''': 512,
    '''microsoft/deberta-xlarge''': 512,
    '''microsoft/deberta-base-mnli''': 512,
    '''microsoft/deberta-large-mnli''': 512,
    '''microsoft/deberta-xlarge-mnli''': 512,
}

UpperCamelCase			:					Optional[int]         =							{
    '''microsoft/deberta-base''': {'''do_lower_case''': False},
    '''microsoft/deberta-large''': {'''do_lower_case''': False},
}
def 				UpperCamelCase_	(					)->   List[str]:




						'''simple docstring'''
						__magic_name__					=      (
						    list(range(ord('!'  )						,      ord('~'  ) + 1  )  ) + list(range(ord('¡'  )						,      ord('¬'  ) + 1  )  ) + list(range(ord('®'  )						,      ord('ÿ'  ) + 1  )  )
						)
						__magic_name__					=      bs[:]
						__magic_name__					=      0
						for b in range(2**8  ):
												if b not in bs:
																		bs.append(__snake_case  )
																		cs.append(2**8 + n  )
																		n += 1
						__magic_name__					=      [chr(__snake_case  ) for n in cs]
						return dict(zip(__snake_case						,      __snake_case  )  )
def 				UpperCamelCase_	(					__snake_case      :    Optional[int]  )->   Optional[int]:




						'''simple docstring'''
						__magic_name__					=      set()
						__magic_name__					=      word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)  )
												__magic_name__					=      char
						return pairs




class      __snake_case				(   _UpperCAmelCase):
					SCREAMING_SNAKE_CASE_		:       Optional[Any]								=			VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE_		:       Optional[Any]								=			PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE_		:       Optional[int]								=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					SCREAMING_SNAKE_CASE_		:       str								=			["input_ids", "attention_mask", "token_type_ids"]
					def __init__(						self       :						Dict	,      _lowerCAmelCase       :						Optional[int]	,      _lowerCAmelCase       :						Optional[int]	,      _lowerCAmelCase       :						int="replace"	,      _lowerCAmelCase       :						Optional[int]="[CLS]"	,      _lowerCAmelCase       :						Union[str, Any]="[SEP]"	,      _lowerCAmelCase       :						Any="[SEP]"	,      _lowerCAmelCase       :						Any="[CLS]"	,      _lowerCAmelCase       :						Dict="[UNK]"	,      _lowerCAmelCase       :						List[Any]="[PAD]"	,      _lowerCAmelCase       :						Any="[MASK]"	,      _lowerCAmelCase       :						Dict=False	,      _lowerCAmelCase       :						int=False	,      **_lowerCAmelCase       :						Union[str, Any]	,      )							->					Tuple:



											'''simple docstring'''





											__magic_name__					=      AddedToken(_lowerCAmelCase	,      lstrip=_lowerCAmelCase	,      rstrip=_lowerCAmelCase  ) if isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ) else bos_token
											__magic_name__					=      AddedToken(_lowerCAmelCase	,      lstrip=_lowerCAmelCase	,      rstrip=_lowerCAmelCase  ) if isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ) else eos_token
											__magic_name__					=      AddedToken(_lowerCAmelCase	,      lstrip=_lowerCAmelCase	,      rstrip=_lowerCAmelCase  ) if isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ) else sep_token
											__magic_name__					=      AddedToken(_lowerCAmelCase	,      lstrip=_lowerCAmelCase	,      rstrip=_lowerCAmelCase  ) if isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ) else cls_token
											__magic_name__					=      AddedToken(_lowerCAmelCase	,      lstrip=_lowerCAmelCase	,      rstrip=_lowerCAmelCase  ) if isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ) else unk_token
											__magic_name__					=      AddedToken(_lowerCAmelCase	,      lstrip=_lowerCAmelCase	,      rstrip=_lowerCAmelCase  ) if isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ) else pad_token

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

											super().__init__(
											    errors=_lowerCAmelCase	,      bos_token=_lowerCAmelCase	,      eos_token=_lowerCAmelCase	,      unk_token=_lowerCAmelCase	,      sep_token=_lowerCAmelCase	,      cls_token=_lowerCAmelCase	,      pad_token=_lowerCAmelCase	,      mask_token=_lowerCAmelCase	,      add_prefix_space=_lowerCAmelCase	,      add_bos_token=_lowerCAmelCase	,      **_lowerCAmelCase	,      )
											__magic_name__					=      add_bos_token

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

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											__magic_name__					=      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 	a			(						self       :						Union[str, Any]  )							->					Optional[Any]:



											'''simple docstring'''





											return len(self.encoder  )
					def 	a			(						self       :						str  )							->					Any:



											'''simple docstring'''





											return dict(self.encoder	,      **self.added_tokens_encoder  )
					def 	a			(						self       :						Union[str, Any]	,      _lowerCAmelCase       :						int  )							->					Tuple:



											'''simple docstring'''





											if token in self.cache:
																	return self.cache[token]
											__magic_name__					=      tuple(_lowerCAmelCase  )
											__magic_name__					=      get_pairs(_lowerCAmelCase  )

											if not pairs:
																	return token

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

																							if word[i] == first and i < len(_lowerCAmelCase  ) - 1 and word[i + 1] == second:
																													new_word.append(first + second  )
																													i += 2
																							else:
																													new_word.append(word[i]  )
																													i += 1
																	__magic_name__					=      tuple(_lowerCAmelCase  )
																	__magic_name__					=      new_word
																	if len(_lowerCAmelCase  ) == 1:
																							break
																	else:
																							__magic_name__					=      get_pairs(_lowerCAmelCase  )
											__magic_name__					=      ' '.join(_lowerCAmelCase  )
											__magic_name__					=      word
											return word
					def 	a			(						self       :						Tuple	,      _lowerCAmelCase       :						List[int]	,      _lowerCAmelCase       :						Optional[List[int]] = None  )							->					List[int]:



											'''simple docstring'''





											if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											__magic_name__					=      [self.cls_token_id]
											__magic_name__					=      [self.sep_token_id]
											return cls + token_ids_a + sep + token_ids_a + sep
					def 	a			(						self       :						List[Any]	,      _lowerCAmelCase       :						List[int]	,      _lowerCAmelCase       :						Optional[List[int]] = None	,      _lowerCAmelCase       :						bool = False  )							->					List[int]:



											'''simple docstring'''





											if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=_lowerCAmelCase	,      token_ids_a=_lowerCAmelCase	,      already_has_special_tokens=_lowerCAmelCase  )

											if token_ids_a is None:
																	return [1] + ([0] * len(_lowerCAmelCase  )) + [1]
											return [1] + ([0] * len(_lowerCAmelCase  )) + [1] + ([0] * len(_lowerCAmelCase  )) + [1]
					def 	a			(						self       :						Tuple	,      _lowerCAmelCase       :						List[int]	,      _lowerCAmelCase       :						Optional[List[int]] = None  )							->					List[int]:



											'''simple docstring'''





											__magic_name__					=      [self.sep_token_id]
											__magic_name__					=      [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 	a			(						self       :						Union[str, Any]	,      _lowerCAmelCase       :						str  )							->					Optional[int]:



											'''simple docstring'''





											__magic_name__					=      []
											for token in re.findall(self.pat	,      _lowerCAmelCase  ):
																	__magic_name__					=      ''.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(_lowerCAmelCase  ).split(' '  )  )
											return bpe_tokens
					def 	a			(						self       :						Optional[Any]	,      _lowerCAmelCase       :						List[str]  )							->					Dict:



											'''simple docstring'''





											return self.encoder.get(_lowerCAmelCase	,      self.encoder.get(self.unk_token  )  )
					def 	a			(						self       :						Tuple	,      _lowerCAmelCase       :						List[Any]  )							->					Optional[Any]:



											'''simple docstring'''





											return self.decoder.get(_lowerCAmelCase  )
					def 	a			(						self       :						List[Any]	,      _lowerCAmelCase       :						Union[str, Any]  )							->					Union[str, Any]:



											'''simple docstring'''





											__magic_name__					=      ''.join(_lowerCAmelCase  )
											__magic_name__					=      bytearray([self.byte_decoder[c] for c in text]  ).decode('utf-8'	,      errors=self.errors  )
											return text
					def 	a			(						self       :						Optional[int]	,      _lowerCAmelCase       :						str	,      _lowerCAmelCase       :						Optional[str] = None  )							->					Tuple[str]:



											'''simple docstring'''





											if not os.path.isdir(_lowerCAmelCase  ):
																	logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''  )
																	return
											__magic_name__					=      os.path.join(
											    _lowerCAmelCase	,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
											__magic_name__					=      os.path.join(
											    _lowerCAmelCase	,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']  )

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

											__magic_name__					=      0
											with open(_lowerCAmelCase	,      '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 _lowerCAmelCase  : 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!'  )
																													__magic_name__					=      token_index
																							writer.write(' '.join(_lowerCAmelCase  ) + '\n'  )
																							index += 1

											return vocab_file, merge_file
					def 	a			(						self       :						Any	,      _lowerCAmelCase       :						Optional[int]	,      _lowerCAmelCase       :						Optional[int]=False	,      **_lowerCAmelCase       :						Dict  )							->					int:



											'''simple docstring'''





											__magic_name__					=      kwargs.pop('add_prefix_space'	,      self.add_prefix_space  )
											if (is_split_into_words or add_prefix_space) and (len(_lowerCAmelCase  ) > 0 and not text[0].isspace()):
																	__magic_name__					=      ' ' + text
											return (text, kwargs)







					def 	a			(						self       :						Union[str, Any]	,      _lowerCAmelCase       :						"Conversation"  )							->					List[int]:



											'''simple docstring'''





											__magic_name__					=      []
											for is_user, text in conversation.iter_texts():
																	input_ids.extend(self.encode(_lowerCAmelCase	,      add_special_tokens=_lowerCAmelCase  ) + [self.eos_token_id]  )
											if len(_lowerCAmelCase  ) > self.model_max_length:
																	__magic_name__					=      input_ids[-self.model_max_length :]
											return input_ids





from itertools import count
from math import asin, pi, sqrt
def 				UpperCamelCase_	(					__snake_case      :    float  )->   float:




						'''simple docstring'''
						return (
						    (1 - 2 * point) * sqrt(point - point**2  ) + 2 * point + asin(sqrt(1 - point  )  )
						) / 4
def 				UpperCamelCase_	(					__snake_case      :    int  )->   float:




						'''simple docstring'''
						__magic_name__					=      (circles_number + 1 - sqrt(2 * circles_number  )) / (
						    2 * (circles_number**2 + 1)
						)
						__magic_name__					=      circles_number * intersection_y

						__magic_name__					=      intersection_x * intersection_y / 2
						__magic_name__					=      circle_bottom_arc_integral(
						    1 / 2  ) - circle_bottom_arc_integral(__snake_case  )

						return triangle_area + concave_region_area
def 				UpperCamelCase_	(					__snake_case      :    float = 1 / 10_00  )->   int:




						'''simple docstring'''
						__magic_name__					=      (1 - pi / 4) / 4

						for n in count(1  ):
												if concave_triangle_area(__snake_case  ) / l_section_area < fraction:
																		return n

						return -1


if __name__ == "__main__":
					print(f'''{solution() = }''')

