

"""simple docstring"""






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

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowerCAmelCase						=		logging.get_logger(__name__)


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

_lowerCAmelCase						=		{
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

_lowerCAmelCase						=		{"""facebook/blenderbot_small-90M""": 5_1_2}

def 		lowerCamelCase__		(					_lowerCamelCase   ):

  '''simple docstring'''



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

  _lowerCAmelCase       :   Dict  =    set(_lowerCamelCase   )
  return pairs







class 	__UpperCamelCase    (    a__						):
  _UpperCAmelCase          =		VOCAB_FILES_NAMES
  _UpperCAmelCase          =		PRETRAINED_VOCAB_FILES_MAP
  _UpperCAmelCase          =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _UpperCAmelCase          =		["input_ids", "attention_mask"]

  def __init__(		self    ,_A    ,_A    ,_A="__start__"    ,_A="__end__"    ,_A="__unk__"    ,_A="__null__"    ,**_A    ,):
    '''simple docstring'''

    super().__init__(unk_token=_A    ,bos_token=_A    ,eos_token=_A    ,pad_token=_A    ,**_A      )

    with open(_A    ,encoding='utf-8'      ) as vocab_handle:
      _lowerCAmelCase       :   Union[str, Any]  =    json.load(_A      )
    _lowerCAmelCase       :   int  =    {v: k for k, v in self.encoder.items()}
    with open(_A    ,encoding='utf-8'      ) as merges_handle:
      _lowerCAmelCase       :   Optional[int]  =    merges_handle.read().split('\n'      )[1:-1]
    _lowerCAmelCase       :   Optional[int]  =    [tuple(merge.split()      ) for merge in merges]
    _lowerCAmelCase       :   Union[str, Any]  =    dict(zip(_A    ,range(len(_A      )      )      )      )
    _lowerCAmelCase       :   Dict  =    {}

  @property
  def __lowerCamelCase		(		self      ):
    '''simple docstring'''

    return len(self.encoder      )

  def __lowerCamelCase		(		self      ):
    '''simple docstring'''

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

  def __lowerCamelCase		(		self    ,_A      ):
    '''simple docstring'''

    if token in self.cache:
      return self.cache[token]
    _lowerCAmelCase       :   Union[str, Any]  =    re.sub('([.,!?()])'    ,r' \1'    ,_A      )
    _lowerCAmelCase       :   Any  =    re.sub('(\')'    ,r' \1 '    ,_A      )
    _lowerCAmelCase       :   Tuple  =    re.sub(r'\s{2,}'    ,' '    ,_A      )
    if "\n" in token:
      _lowerCAmelCase       :   Optional[Any]  =    token.replace('\n'    ,' __newln__'      )

    _lowerCAmelCase       :   Optional[Any]  =    token.split(' '      )
    _lowerCAmelCase       :   List[str]  =    []
    for token in tokens:
      if not len(_A      ):
        continue

      _lowerCAmelCase       :   str  =    token.lower()
      _lowerCAmelCase       :   Optional[Any]  =    tuple(_A      )
      _lowerCAmelCase       :   Union[str, Any]  =    tuple(list(word[:-1]      ) + [word[-1] + '</w>']      )
      _lowerCAmelCase       :   str  =    get_pairs(_A      )

      if not pairs:
        words.append(_A      )
        continue

      while True:
        _lowerCAmelCase       :   str  =    min(_A    ,key=lambda _A      : self.bpe_ranks.get(_A    ,float('inf'      )      )      )
        if bigram not in self.bpe_ranks:
          break
        _lowerCAmelCase       :   Tuple  =    bigram
        _lowerCAmelCase       :   List[Any]  =    []
        _lowerCAmelCase       :   Any  =    0

        while i < len(_A      ):
          try:
            _lowerCAmelCase       :   str  =    word.index(_A    ,_A      )
            new_word.extend(word[i:j]      )
            _lowerCAmelCase       :   Union[str, Any]  =    j
          except ValueError:
            new_word.extend(word[i:]      )
            break

          if word[i] == first and i < len(_A      ) - 1 and word[i + 1] == second:
            new_word.append(first + second      )
            i += 2
          else:
            new_word.append(word[i]      )
            i += 1
        _lowerCAmelCase       :   Optional[int]  =    tuple(_A      )
        _lowerCAmelCase       :   str  =    new_word
        if len(_A      ) == 1:
          break
        else:
          _lowerCAmelCase       :   List[Any]  =    get_pairs(_A      )
      _lowerCAmelCase       :   Any  =    '@@ '.join(_A      )
      _lowerCAmelCase       :   List[str]  =    word[:-4]

      _lowerCAmelCase       :   Any  =    word
      words.append(_A      )
    return " ".join(_A      )

  def __lowerCamelCase		(		self    ,_A      ):
    '''simple docstring'''

    _lowerCAmelCase       :   Optional[Any]  =    []

    _lowerCAmelCase       :   int  =    re.findall(r'\S+\n?'    ,_A      )

    for token in words:
      split_tokens.extend(list(self.bpe(_A      ).split(' '      )      )      )
    return split_tokens

  def __lowerCamelCase		(		self    ,_A      ):
    '''simple docstring'''

    _lowerCAmelCase       :   Any  =    token.lower()
    return self.encoder.get(_A    ,self.encoder.get(self.unk_token      )      )

  def __lowerCamelCase		(		self    ,_A      ):
    '''simple docstring'''

    return self.decoder.get(_A    ,self.unk_token      )

  def __lowerCamelCase		(		self    ,_A      ):
    '''simple docstring'''

    _lowerCAmelCase       :   Optional[Any]  =    ' '.join(_A      ).replace('@@ '    ,''      ).strip()
    return out_string







  def __lowerCamelCase		(		self    ,_A    ,_A = None      ):
    '''simple docstring'''

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

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

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

    return vocab_file, merge_file








"""simple docstring"""






from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

_lowerCAmelCase						=		{"""UserAgent""": UserAgent().random}

def 		lowerCamelCase__		(					_lowerCamelCase   ):

    '''simple docstring'''



    _lowerCAmelCase       :   Any  =    script.contents[0]
    _lowerCAmelCase       :   Union[str, Any]  =    json.loads(data[data.find('{"config"'   ) : -1]   )
    return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]







class 	__UpperCamelCase    :

  def __init__(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Optional[Any]  =    F"""https://www.instagram.com/{username}/"""
      _lowerCAmelCase       :   str  =    self.get_json()

  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      _lowerCAmelCase       :   str  =    requests.get(self.url    ,headers=_A      ).text
      _lowerCAmelCase       :   Optional[Any]  =    BeautifulSoup(_A    ,'html.parser'      ).find_all('script'      )
      try:
          return extract_user_profile(scripts[4]      )
      except (json.decoder.JSONDecodeError, KeyError):
          return extract_user_profile(scripts[3]      )

  def __repr__(		self      ):
      '''simple docstring'''

      return F"""{self.__class__.__name__}('{self.username}')"""

  def __str__(		self      ):
      '''simple docstring'''

      return F"""{self.fullname} ({self.username}) is {self.biography}"""

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["username"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["full_name"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["biography"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["business_email"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["external_url"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["edge_followed_by"]["count"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["edge_follow"]["count"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["edge_owner_to_timeline_media"]["count"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["profile_pic_url_hd"]

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["is_verified"]







  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.user_data["is_private"]





def 		lowerCamelCase__		(					_lowerCamelCase = "github"   ):

    '''simple docstring'''



    import os

    if os.environ.get('CI'   ):
        return  # test failing on GitHub Actions
    _lowerCAmelCase       :   Tuple  =    InstagramUser(_lowerCamelCase   )
    assert instagram_user.user_data
    assert isinstance(instagram_user.user_data ,   _lowerCamelCase   )
    assert instagram_user.username == username
    if username != "github":
        return
    assert instagram_user.fullname == "GitHub"
    assert instagram_user.biography == "Built for developers."
    assert instagram_user.number_of_posts > 150
    assert instagram_user.number_of_followers > 120000
    assert instagram_user.number_of_followings > 15
    assert instagram_user.email == "support@github.com"
    assert instagram_user.website == "https://github.com/readme"
    assert instagram_user.profile_picture_url.startswith('https://instagram.'   )
    assert instagram_user.is_verified is True
    assert instagram_user.is_private is False


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 _lowerCAmelCase						=		InstagramUser("""github""")
 print(instagram_user)
 print(F'''{instagram_user.number_of_posts = }''')
 print(F'''{instagram_user.number_of_followers = }''')
 print(F'''{instagram_user.number_of_followings = }''')
 print(F'''{instagram_user.email = }''')
 print(F'''{instagram_user.website = }''')
 print(F'''{instagram_user.profile_picture_url = }''')
 print(F'''{instagram_user.is_verified = }''')
 print(F'''{instagram_user.is_private = }''')





