



"""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

_lowerCAmelCase       :      int							=							logging.get_logger(__name__)

_lowerCAmelCase       :      int							=							{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

_lowerCAmelCase       :      List[Any]							=							{
    "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"
        ),
    },
}

_lowerCAmelCase       :      int							=							{
    "microsoft/deberta-base": 5_12,
    "microsoft/deberta-large": 5_12,
    "microsoft/deberta-xlarge": 5_12,
    "microsoft/deberta-base-mnli": 5_12,
    "microsoft/deberta-large-mnli": 5_12,
    "microsoft/deberta-xlarge-mnli": 5_12,
}

_lowerCAmelCase       :      str							=							{
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}

def 		__snake_case		(   ):





     '''simple docstring'''

     _UpperCAmelCase    :			Any              =					(
         list(range(ord("!"       )		,						ord("~"       ) + 1       )       ) + list(range(ord("¡"       )		,						ord("¬"       ) + 1       )       ) + list(range(ord("®"       )		,						ord("ÿ"       ) + 1       )       )
     )
     _UpperCAmelCase    :			Tuple              =					bs[:]
     _UpperCAmelCase    :			List[str]              =					0
     for b in range(2**8       ):
          if b not in bs:
               bs.append(_A       )
               cs.append(2**8 + n       )
               n += 1
     _UpperCAmelCase    :			Optional[Any]              =					[chr(_A       ) for n in cs]
     return dict(zip(_A		,						_A       )       )

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		Any       ):





     '''simple docstring'''

     _UpperCAmelCase    :			Tuple              =					set()
     _UpperCAmelCase    :			Dict              =					word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)       )
          _UpperCAmelCase    :			List[str]              =					char
     return pairs






class 			UpperCAmelCase_						(       lowerCamelCase__		):
      __SCREAMING_SNAKE_CASE		:     Optional[int]				  =				VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE		:     Tuple				  =				PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE		:     Tuple				  =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE		:     Tuple				  =				['input_ids', 'attention_mask', 'token_type_ids']



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

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

           super().__init__(
               errors=lowercase_  ,			bos_token=lowercase_  ,			eos_token=lowercase_  ,			unk_token=lowercase_  ,			sep_token=lowercase_  ,			cls_token=lowercase_  ,			pad_token=lowercase_  ,			mask_token=lowercase_  ,			add_prefix_space=lowercase_  ,			add_bos_token=lowercase_  ,			**lowercase_  ,			)
           _UpperCAmelCase    :			str              =					add_bos_token

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

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           _UpperCAmelCase    :			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 		snake_case_      (  self  :			Any		):
           return len(self.encoder		)



      def 		snake_case_      (  self  :			Dict		):
           return dict(self.encoder  ,			**self.added_tokens_encoder		)



      def 		snake_case_      (  self  :			List[Any]  ,			A  :			List[str]		):






           if token in self.cache:
                return self.cache[token]
           _UpperCAmelCase    :			List[str]              =					tuple(lowercase_		)
           _UpperCAmelCase    :			Optional[int]              =					get_pairs(lowercase_		)

           if not pairs:
                return token

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

                     if word[i] == first and i < len(lowercase_		) - 1 and word[i + 1] == second:
                          new_word.append(first + second		)
                          i += 2
                     else:
                          new_word.append(word[i]		)
                          i += 1
                _UpperCAmelCase    :			Tuple              =					tuple(lowercase_		)
                _UpperCAmelCase    :			Union[str, Any]              =					new_word
                if len(lowercase_		) == 1:
                     break
                else:
                     _UpperCAmelCase    :			Optional[Any]              =					get_pairs(lowercase_		)
           _UpperCAmelCase    :			Any              =					" ".join(lowercase_		)
           _UpperCAmelCase    :			Dict              =					word
           return word



      def 		snake_case_      (  self  :			int  ,			A  :			Union[str, Any]  ,			A  :			Optional[Any] = None		):






           if token_ids_a is None:
                return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           _UpperCAmelCase    :			List[Any]              =					[self.cls_token_id]
           _UpperCAmelCase    :			List[str]              =					[self.sep_token_id]
           return cls + token_ids_a + sep + token_ids_a + sep



      def 		snake_case_      (  self  :			Optional[int]  ,			A  :			Optional[int]  ,			A  :			Union[str, Any] = None  ,			A  :			Tuple = False		):






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

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



      def 		snake_case_      (  self  :			Optional[Any]  ,			A  :			Optional[int]  ,			A  :			Union[str, Any] = None		):
           _UpperCAmelCase    :			Any              =					[self.sep_token_id]
           _UpperCAmelCase    :			Union[str, Any]              =					[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 		snake_case_      (  self  :			Optional[Any]  ,			A  :			List[Any]		):
           _UpperCAmelCase    :			Optional[Any]              =					[]
           for token in re.findall(self.pat  ,			lowercase_		):
                _UpperCAmelCase    :			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(lowercase_		).split(" "		)		)
           return bpe_tokens



      def 		snake_case_      (  self  :			Optional[int]  ,			A  :			Optional[Any]		):
           return self.encoder.get(lowercase_  ,			self.encoder.get(self.unk_token		)		)



      def 		snake_case_      (  self  :			Union[str, Any]  ,			A  :			List[str]		):
           return self.decoder.get(lowercase_		)



      def 		snake_case_      (  self  :			Optional[int]  ,			A  :			str		):
           _UpperCAmelCase    :			List[Any]              =					"".join(lowercase_		)
           _UpperCAmelCase    :			Union[str, Any]              =					bytearray([self.byte_decoder[c] for c in text]		).decode("utf-8"  ,			errors=self.errors		)
           return text



      def 		snake_case_      (  self  :			Union[str, Any]  ,			A  :			Union[str, Any]  ,			A  :			Union[str, Any] = None		):






           if not os.path.isdir(lowercase_		):
                logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
                return
           _UpperCAmelCase    :			Union[str, Any]              =					os.path.join(
               lowercase_  ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
           _UpperCAmelCase    :			Tuple              =					os.path.join(
               lowercase_  ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

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

           _UpperCAmelCase    :			Any              =					0
           with open(lowercase_  ,			"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 A		: 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!"		)
                          _UpperCAmelCase    :			str              =					token_index
                     writer.write(" ".join(lowercase_		) + "\n"		)
                     index += 1

           return vocab_file, merge_file



      def 		snake_case_      (  self  :			List[str]  ,			A  :			Optional[Any]  ,			A  :			Tuple=False  ,			**A  :			Any		):
           _UpperCAmelCase    :			Optional[int]              =					kwargs.pop("add_prefix_space"  ,			self.add_prefix_space		)
           if (is_split_into_words or add_prefix_space) and (len(lowercase_		) > 0 and not text[0].isspace()):
                _UpperCAmelCase    :			str              =					" " + text
           return (text, kwargs)



      def 		snake_case_      (  self  :			Optional[int]  ,			A  :			int		):
           _UpperCAmelCase    :			int              =					[]
           for is_user, text in conversation.iter_texts():
                input_ids.extend(self.encode(lowercase_  ,			add_special_tokens=lowercase_		) + [self.eos_token_id]		)
           if len(lowercase_		) > self.model_max_length:
                _UpperCAmelCase    :			Tuple              =					input_ids[-self.model_max_length :]
           return input_ids





"""simple docstring"""




def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     None:





     '''simple docstring'''

     if right <= left:
          return
     _UpperCAmelCase    :			Any              =					left
     _UpperCAmelCase    :			Tuple              =					right
     _UpperCAmelCase    :			List[Any]              =					sorting[left]
     while i <= b:
          if sorting[i] < pivot:
               _UpperCAmelCase       , _UpperCAmelCase    :			List[Any]              =					sorting[i], sorting[a]
               a += 1
               i += 1
          elif sorting[i] > pivot:
               _UpperCAmelCase       , _UpperCAmelCase    :			Any              =					sorting[i], sorting[b]
               b -= 1
          else:
               i += 1
     quick_sort_apartition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						a - 1       )
     quick_sort_apartition(SCREAMING_SNAKE_CASE__		,						b + 1		,						SCREAMING_SNAKE_CASE__       )

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     None:





     '''simple docstring'''

     if left < right:
          _UpperCAmelCase    :			Optional[int]              =					lomuto_partition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
          quick_sort_lomuto_partition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						pivot_index - 1       )
          quick_sort_lomuto_partition(SCREAMING_SNAKE_CASE__		,						pivot_index + 1		,						SCREAMING_SNAKE_CASE__       )

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     int:





     '''simple docstring'''

     _UpperCAmelCase    :			Dict              =					sorting[right]
     _UpperCAmelCase    :			Any              =					left
     for i in range(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
          if sorting[i] < pivot:
               _UpperCAmelCase       , _UpperCAmelCase    :			Dict              =					sorting[i], sorting[store_index]
               store_index += 1
     _UpperCAmelCase       , _UpperCAmelCase    :			List[str]              =					sorting[store_index], sorting[right]
     return store_index

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     list:





     '''simple docstring'''

     if len(SCREAMING_SNAKE_CASE__       ) <= 1:
          return sorting
     return (
         three_way_radix_quicksort([i for i in sorting if i < sorting[0]]       )
         + [i for i in sorting if i == sorting[0]]
         + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]       )
     )


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)

 _lowerCAmelCase       :      Union[str, Any]							=							input("Enter numbers separated by a comma:\n").strip()
 _lowerCAmelCase       :      List[str]							=							[int(item) for item in user_input.split(",")]
 quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
 print(unsorted)
