import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
     if is_torch_available():
          import torch
     if is_tf_available():
          import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


_SCREAMING_SNAKE_CASE   		=			logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE   		=			{
    """vocab_file""": {
        """Salesforce/codegen-350M-mono""": """https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """Salesforce/codegen-350M-mono""": """https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt""",
    },
}

_SCREAMING_SNAKE_CASE   		=			{
    """Salesforce/codegen-350M-mono""": 2_0_4_8,
}





@lru_cache()
def  lowercase(  )		->  Optional[Any]:







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





def  lowercase(  UpperCamelCase_					)		->  Tuple:







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






class SCREAMING_SNAKE_CASE_		(			_SCREAMING_SNAKE_CASE		):
   __lowerCAmelCase											=							VOCAB_FILES_NAMES
   __lowerCAmelCase											=							PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase											=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase											=							['input_ids', 'attention_mask']







   def __init__(    self	:	Optional[Any]      ,      lowerCamelCase_	:	Optional[int]      ,      lowerCamelCase_	:	Any      ,      lowerCamelCase_	:	List[str]="replace"      ,      lowerCamelCase_	:	Dict="<|endoftext|>"      ,      lowerCamelCase_	:	Tuple="<|endoftext|>"      ,      lowerCamelCase_	:	Optional[Any]="<|endoftext|>"      ,      lowerCamelCase_	:	Tuple=None      ,      lowerCamelCase_	:	Tuple=False      ,      lowerCamelCase_	:	Tuple=False      ,      **lowerCamelCase_	:	List[Any]      ,      ):





    """simple docstring"""


    UpperCamelCase      =			AddedToken(UpperCamelCase__      ,      lstrip=UpperCamelCase__      ,      rstrip=UpperCamelCase__							) if isinstance(UpperCamelCase__      ,      UpperCamelCase__							) else bos_token
    UpperCamelCase      =			AddedToken(UpperCamelCase__      ,      lstrip=UpperCamelCase__      ,      rstrip=UpperCamelCase__							) if isinstance(UpperCamelCase__      ,      UpperCamelCase__							) else eos_token
    UpperCamelCase      =			AddedToken(UpperCamelCase__      ,      lstrip=UpperCamelCase__      ,      rstrip=UpperCamelCase__							) if isinstance(UpperCamelCase__      ,      UpperCamelCase__							) else unk_token
    UpperCamelCase      =			AddedToken(UpperCamelCase__      ,      lstrip=UpperCamelCase__      ,      rstrip=UpperCamelCase__							) if isinstance(UpperCamelCase__      ,      UpperCamelCase__							) else pad_token
    super().__init__(
        errors=UpperCamelCase__      ,      unk_token=UpperCamelCase__      ,      bos_token=UpperCamelCase__      ,      eos_token=UpperCamelCase__      ,      pad_token=UpperCamelCase__      ,      add_prefix_space=UpperCamelCase__      ,      add_bos_token=UpperCamelCase__      ,      **UpperCamelCase__      ,      )
    UpperCamelCase      =			add_bos_token

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

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







   @property
   def 	lowerCamelCase_  (    self	:	Union[str, Any]							):





    """simple docstring"""


    return len(self.encoder							)







   def 	lowerCamelCase_  (    self	:	Tuple							):





    """simple docstring"""


    return dict(self.encoder      ,      **self.added_tokens_encoder							)







   def 	lowerCamelCase_  (    self	:	str      ,      lowerCamelCase_	:	str							):





    """simple docstring"""


    if token in self.cache:
     return self.cache[token]
    UpperCamelCase      =			tuple(UpperCamelCase__							)
    UpperCamelCase      =			get_pairs(UpperCamelCase__							)

    if not pairs:
     return token

    while True:
     UpperCamelCase      =			min(UpperCamelCase__      ,      key=lambda lowerCamelCase_							: self.bpe_ranks.get(UpperCamelCase__      ,      float("""inf"""							)							)							)
     if bigram not in self.bpe_ranks:
      break
     UpperCamelCase     ,    UpperCamelCase      =			bigram
     UpperCamelCase      =			[]
     UpperCamelCase      =			0
     while i < len(UpperCamelCase__							):
      try:
       UpperCamelCase      =			word.index(UpperCamelCase__      ,      UpperCamelCase__							)
      except ValueError:
       new_word.extend(word[i:]							)
       break
      else:
       new_word.extend(word[i:j]							)
       UpperCamelCase      =			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
     UpperCamelCase      =			tuple(UpperCamelCase__							)
     UpperCamelCase      =			new_word
     if len(UpperCamelCase__							) == 1:
      break
     else:
      UpperCamelCase      =			get_pairs(UpperCamelCase__							)
    UpperCamelCase      =			""" """.join(UpperCamelCase__							)
    UpperCamelCase      =			word
    return word







   def 	lowerCamelCase_  (    self	:	int      ,      lowerCamelCase_	:	int      ,      lowerCamelCase_	:	Any=None							):





    """simple docstring"""


    if self.add_bos_token:
     UpperCamelCase      =			[self.bos_token_id]
    else:
     UpperCamelCase      =			[]

    UpperCamelCase      =			bos_token_ids + token_ids_a

    if token_ids_a is None:
     return output

    return output + bos_token_ids + token_ids_a







   def 	lowerCamelCase_  (    self	:	Optional[int]      ,      lowerCamelCase_	:	List[str]							):





    """simple docstring"""


    UpperCamelCase      =			[]
    for token in re.findall(self.pat      ,      UpperCamelCase__							):
     UpperCamelCase      =			"""""".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 	lowerCamelCase_  (    self	:	Dict      ,      lowerCamelCase_	:	List[Any]							):





    """simple docstring"""


    return self.encoder.get(UpperCamelCase__      ,      self.encoder.get(self.unk_token							)							)







   def 	lowerCamelCase_  (    self	:	List[Any]      ,      lowerCamelCase_	:	Dict							):





    """simple docstring"""


    return self.decoder.get(UpperCamelCase__							)







   def 	lowerCamelCase_  (    self	:	Union[str, Any]      ,      lowerCamelCase_	:	Optional[int]							):





    """simple docstring"""


    UpperCamelCase      =			"""""".join(UpperCamelCase__							)
    UpperCamelCase      =			bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""      ,      errors=self.errors							)
    return text







   def 	lowerCamelCase_  (    self	:	Tuple      ,      lowerCamelCase_	:	str      ,      lowerCamelCase_	:	Optional[str] = None							):





    """simple docstring"""


    if not os.path.isdir(UpperCamelCase__							):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
     return
    UpperCamelCase      =			os.path.join(
        UpperCamelCase__      ,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
    UpperCamelCase      =			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"""							)

    UpperCamelCase      =			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 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!"""							)
       UpperCamelCase      =			token_index
      writer.write(""" """.join(UpperCamelCase__							) + """\n"""							)
      index += 1

    return vocab_file, merge_file







   def 	lowerCamelCase_  (    self	:	Dict      ,      lowerCamelCase_	:	Dict      ,      lowerCamelCase_	:	Optional[int]=False      ,      **lowerCamelCase_	:	List[Any]							):





    """simple docstring"""


    UpperCamelCase      =			kwargs.pop("""add_prefix_space"""      ,      self.add_prefix_space							)
    if is_split_into_words or add_prefix_space:
     UpperCamelCase      =			""" """ + text
    return (text, kwargs)







   def 	lowerCamelCase_  (    self	:	List[str]      ,      lowerCamelCase_	:	Union[int, List[int], "np.ndarray", "torch.Tensor", "tf.Tensor"]      ,      lowerCamelCase_	:	bool = False      ,      lowerCamelCase_	:	bool = None      ,      lowerCamelCase_	:	Optional[List[str]] = None      ,      **lowerCamelCase_	:	int      ,      ):





    """simple docstring"""


    UpperCamelCase      =			super()._decode(
        token_ids=UpperCamelCase__      ,      skip_special_tokens=UpperCamelCase__      ,      clean_up_tokenization_spaces=UpperCamelCase__      ,      **UpperCamelCase__      ,      )

    if truncate_before_pattern is not None and len(UpperCamelCase__							) > 0:
     UpperCamelCase      =			self.truncate(UpperCamelCase__      ,      UpperCamelCase__							)

    return decoded_text







   def 	lowerCamelCase_  (    self	:	Dict      ,      lowerCamelCase_	:	Dict      ,      lowerCamelCase_	:	List[Any]							):





    """simple docstring"""


    def find_re(lowerCamelCase_	:	Optional[Any]      ,      lowerCamelCase_	:	str      ,      lowerCamelCase_	:	List[Any]							):
     UpperCamelCase      =			pattern.search(UpperCamelCase__      ,      UpperCamelCase__							)
     return m.start() if m else -1

    UpperCamelCase      =			[re.compile(UpperCamelCase__      ,      re.MULTILINE							) for pattern in truncate_before_pattern]

    UpperCamelCase      =			list(re.finditer("""^print"""      ,      UpperCamelCase__      ,      re.MULTILINE							)							)

    if len(UpperCamelCase__							) > 1:
     UpperCamelCase      =			completion[: prints[1].start()]

    UpperCamelCase      =			list(re.finditer("""^def"""      ,      UpperCamelCase__      ,      re.MULTILINE							)							)

    if len(UpperCamelCase__							) > 1:
     UpperCamelCase      =			completion[: defs[1].start()]

    UpperCamelCase      =			0

    UpperCamelCase      =			[
        pos for pos in [find_re(UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__							) for terminal in terminals] if pos != -1
    ]

    if len(UpperCamelCase__							) > 0:
     return completion[: min(UpperCamelCase__							)]
    else:
     return completion

def  lowercase(  UpperCamelCase_					)		->  Optional[int]:







 '''simple docstring'''
 UpperCamelCase      =			len(UpperCamelCase_					)
 for i in range(length - 1					):
  UpperCamelCase      =			False
  for j in range(length - 1 - i					):
   if collection[j] > collection[j + 1]:
    UpperCamelCase      =			True
    UpperCamelCase     ,    UpperCamelCase      =			collection[j + 1], collection[j]
  if not swapped:
   break  # Stop iteration if the collection is sorted.
 return collection


if __name__ == "__main__":
     import doctest
     import time

     doctest.testmod()

     _SCREAMING_SNAKE_CASE   		=			input("""Enter numbers separated by a comma:""").strip()
     _SCREAMING_SNAKE_CASE   		=			[int(item) for item in user_input.split(""",""")]
     _SCREAMING_SNAKE_CASE   		=			time.process_time()
     print(*bubble_sort(unsorted), sep=""",""")
     print(F'''Processing time: {(time.process_time() - start)%1E9 + 7}''')
