



import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


UpperCAmelCase_									=							logging.get_logger(__name__)

UpperCAmelCase_									=							"▁"

UpperCAmelCase_									=							{
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
}

UpperCAmelCase_									=							{
    "vocab_file": {
        "facebook/s2t-small-librispeech-asr": (
            "https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json"
        ),
    },
    "spm_file": {
        "facebook/s2t-small-librispeech-asr": (
            "https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model"
        )
    },
}

UpperCAmelCase_									=							{
    "facebook/s2t-small-librispeech-asr": 1_0_2_4,
}

UpperCAmelCase_									=							["pt", "fr", "ru", "nl", "ro", "it", "es", "de"]

UpperCAmelCase_									=							{"mustc": MUSTC_LANGS}





class 		UpperCAmelCase						(						snake_case_				):
   SCREAMING_SNAKE_CASE__							=     VOCAB_FILES_NAMES
   SCREAMING_SNAKE_CASE__							=     PRETRAINED_VOCAB_FILES_MAP
   SCREAMING_SNAKE_CASE__							=     MAX_MODEL_INPUT_SIZES
   SCREAMING_SNAKE_CASE__							=     ['''input_ids''', '''attention_mask''']

   SCREAMING_SNAKE_CASE__							=     []





   def __init__(	self       ,     _lowerCAmelCase       ,     _lowerCAmelCase       ,     _lowerCAmelCase="<s>"       ,     _lowerCAmelCase="</s>"       ,     _lowerCAmelCase="<pad>"       ,     _lowerCAmelCase="<unk>"       ,     _lowerCAmelCase=False       ,     _lowerCAmelCase=False       ,     _lowerCAmelCase=None       ,     _lowerCAmelCase=None       ,     _lowerCAmelCase = None       ,     **_lowerCAmelCase       ,     ):
         _lowerCAmelCase 			=  {} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=_lowerCAmelCase       ,     eos_token=_lowerCAmelCase       ,     unk_token=_lowerCAmelCase       ,     pad_token=_lowerCAmelCase       ,     do_upper_case=_lowerCAmelCase       ,     do_lower_case=_lowerCAmelCase       ,     tgt_lang=_lowerCAmelCase       ,     lang_codes=_lowerCAmelCase       ,     sp_model_kwargs=self.sp_model_kwargs       ,     **_lowerCAmelCase       ,     )
         _lowerCAmelCase 			=  do_upper_case
         _lowerCAmelCase 			=  do_lower_case

         _lowerCAmelCase 			=  load_json(_lowerCAmelCase			)
         _lowerCAmelCase 			=  {v: k for k, v in self.encoder.items()}
         _lowerCAmelCase 			=  spm_file
         _lowerCAmelCase 			=  load_spm(_lowerCAmelCase       ,     self.sp_model_kwargs			)

         if lang_codes is not None:
               _lowerCAmelCase 			=  lang_codes
               _lowerCAmelCase 			=  LANGUAGES[lang_codes]
               _lowerCAmelCase 			=  [F'''<lang:{lang}>''' for lang in self.langs]
               _lowerCAmelCase 			=  {lang: self.sp_model.PieceToId(F'''<lang:{lang}>'''			) for lang in self.langs}

               _lowerCAmelCase 			=  self.lang_tokens
               _lowerCAmelCase 			=  tgt_lang if tgt_lang is not None else self.langs[0]

               self.set_tgt_lang_special_tokens(self._tgt_lang			)
         else:
               _lowerCAmelCase 			=  {}





   @property
   def 	__lowerCAmelCase							(	self			):
         return len(self.encoder			)





   @property
   def 	__lowerCAmelCase							(	self			):
         return self._tgt_lang





   @tgt_lang.setter
   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         _lowerCAmelCase 			=  new_tgt_lang
         self.set_tgt_lang_special_tokens(_lowerCAmelCase			)





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         _lowerCAmelCase 			=  self.lang_code_to_id[tgt_lang]
         _lowerCAmelCase 			=  [lang_code_id]





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         return self.sp_model.encode(_lowerCAmelCase       ,     out_type=_lowerCAmelCase			)





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         return self.encoder.get(_lowerCAmelCase       ,     self.encoder[self.unk_token]			)





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         return self.decoder.get(_lowerCAmelCase       ,     self.unk_token			)





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         _lowerCAmelCase 			=  []
         _lowerCAmelCase 			=  ''''''
         for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                     _lowerCAmelCase 			=  self.sp_model.decode(_lowerCAmelCase			)
                     out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                     _lowerCAmelCase 			=  []
               else:
                     current_sub_tokens.append(_lowerCAmelCase			)
         _lowerCAmelCase 			=  self.sp_model.decode(_lowerCAmelCase			)
         out_string += decoded.upper() if self.do_upper_case else decoded
         return out_string.strip()





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase       ,     _lowerCAmelCase=None			):
         if token_ids_a is None:
               return self.prefix_tokens + token_ids_a + [self.eos_token_id]
         # We don't expect to process pairs, but leave the pair logic for API consistency
         return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase       ,     _lowerCAmelCase = None       ,     _lowerCAmelCase = False			):

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

         _lowerCAmelCase 			=  [1] * len(self.prefix_tokens			)
         _lowerCAmelCase 			=  [1]
         if token_ids_a is None:
               return prefix_ones + ([0] * len(_lowerCAmelCase			)) + suffix_ones
         return prefix_ones + ([0] * len(_lowerCAmelCase			)) + ([0] * len(_lowerCAmelCase			)) + suffix_ones





   def 	__lowerCAmelCase							(	self			):
         _lowerCAmelCase 			=  self.encoder.copy()
         vocab.update(self.added_tokens_encoder			)
         return vocab





   def __getstate__(	self			):
         _lowerCAmelCase 			=  self.__dict__.copy()
         _lowerCAmelCase 			=  None
         return state





   def __setstate__(	self       ,     _lowerCAmelCase			):
         _lowerCAmelCase 			=  d

         # for backward compatibility
         if not hasattr(self       ,     '''sp_model_kwargs'''			):
               _lowerCAmelCase 			=  {}

         _lowerCAmelCase 			=  load_spm(self.spm_file       ,     self.sp_model_kwargs			)





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase       ,     _lowerCAmelCase = None			):
         _lowerCAmelCase 			=  Path(_lowerCAmelCase			)
         assert save_dir.is_dir(), F'''{save_directory} should be a directory'''
         _lowerCAmelCase 			=  save_dir / (
             (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
         )
         _lowerCAmelCase 			=  save_dir / (
             (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
         )

         save_json(self.encoder       ,     _lowerCAmelCase			)

         if os.path.abspath(self.spm_file			) != os.path.abspath(_lowerCAmelCase			) and os.path.isfile(self.spm_file			):
               copyfile(self.spm_file       ,     _lowerCAmelCase			)
         elif not os.path.isfile(self.spm_file			):
               with open(_lowerCAmelCase       ,     '''wb'''			) as fi:
                     _lowerCAmelCase 			=  self.sp_model.serialized_model_proto()
                     fi.write(_lowerCAmelCase			)

         return (str(_lowerCAmelCase			), str(_lowerCAmelCase			))






def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	str     ,				_SCREAMING_SNAKE_CASE   :	Dict[str, Any]				)->sentencepiece.SentencePieceProcessor:
      _lowerCAmelCase 			=  sentencepiece.SentencePieceProcessor(**_SCREAMING_SNAKE_CASE				)
      spm.Load(str(_SCREAMING_SNAKE_CASE				)				)
      return spm
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	str				)->Union[Dict, List]:
      with open(_SCREAMING_SNAKE_CASE     ,				'''r'''				) as f:
            return json.load(_SCREAMING_SNAKE_CASE				)


def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	str     ,				_SCREAMING_SNAKE_CASE   :	str				)->None:
      with open(_SCREAMING_SNAKE_CASE     ,				'''w'''				) as f:
            json.dump(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE     ,				indent=2				)




from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCAmelCase_									=							{"UserAgent": UserAgent().random}
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	Dict				)->dict:
      _lowerCAmelCase 			=  script.contents[0]
      _lowerCAmelCase 			=  json.loads(data[data.find('''{"config"'''				) : -1]				)
      return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]





class 		UpperCAmelCase						:





   def __init__(	self       ,     _lowerCAmelCase			):
         _lowerCAmelCase 			=  F'''https://www.instagram.com/{username}/'''
         _lowerCAmelCase 			=  self.get_json()





   def 	__lowerCAmelCase							(	self			):
         _lowerCAmelCase 			=  requests.get(self.url       ,     headers=_lowerCAmelCase			).text
         _lowerCAmelCase 			=  BeautifulSoup(_lowerCAmelCase       ,     '''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			):
         return F'''{self.__class__.__name__}(\'{self.username}\')'''





   def __str__(	self			):
         return F'''{self.fullname} ({self.username}) is {self.biography}'''





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["username"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["full_name"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["biography"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["business_email"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["external_url"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["edge_followed_by"]["count"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["edge_follow"]["count"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["edge_owner_to_timeline_media"]["count"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["profile_pic_url_hd"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["is_verified"]





   @property
   def 	__lowerCAmelCase							(	self			):
         return self.user_data["is_private"]






def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	str = "github"				)->None:
      import os

      if os.environ.get('''CI'''				):
            return  # test failing on GitHub Actions
      _lowerCAmelCase 			=  InstagramUser(_SCREAMING_SNAKE_CASE				)
      assert instagram_user.user_data
      assert isinstance(instagram_user.user_data     ,				_SCREAMING_SNAKE_CASE				)
      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 > 1_5_0
      assert instagram_user.number_of_followers > 1_2_0_0_0_0
      assert instagram_user.number_of_followings > 1_5
      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()
    UpperCAmelCase_									=							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 = }""")