

import json
import os
from functools import lru_cache
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

lowercase_   							=  logging.get_logger(__name__)


lowercase_   							=  {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowercase_   							=  {
    'vocab_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'},
    'merges_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'},
    'tokenizer_config_file': {
        'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'
    },
}

lowercase_   							=  {'facebook/blenderbot-3B': 1_2_8}
@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	a (     )       -> Any:





      """simple docstring"""



      _lowercase      			=(
          list(range(ord('!'	) ,  ord('~'	) + 1	)	) + list(range(ord('¡'	) ,  ord('¬'	) + 1	)	) + list(range(ord('®'	) ,  ord('ÿ'	) + 1	)	)
      )
      _lowercase      			=bs[:]
      _lowercase      			=0
      for b in range(2**8	):
            if b not in bs:
                  bs.append(A__	)
                  cs.append(2**8 + n	)
                  n += 1
      _lowercase      			=[chr(A__	) for n in cs]
      return dict(zip(A__ ,  A__	)	)
def 	a (     A__      :  Any	)       -> List[str]:





      """simple docstring"""



      _lowercase      			=set()
      _lowercase      			=word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            _lowercase      			=char
      return pairs







class 					__lowerCAmelCase	(   UpperCAmelCase__				):
  _a		     =    VOCAB_FILES_NAMES
  _a		     =    PRETRAINED_VOCAB_FILES_MAP
  _a		     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _a		     =    ["""input_ids""", """attention_mask"""]




  def __init__(							self				,  lowerCAmelCase				,  lowerCAmelCase				,  lowerCAmelCase="replace"				,  lowerCAmelCase="<s>"				,  lowerCAmelCase="</s>"				,  lowerCAmelCase="</s>"				,  lowerCAmelCase="<s>"				,  lowerCAmelCase="<unk>"				,  lowerCAmelCase="<pad>"				,  lowerCAmelCase="<mask>"				,  lowerCAmelCase=False				,  **lowerCAmelCase				,  )    ->					List[Any]:
        '''simple docstring'''






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

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

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

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        _lowercase      			=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.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
  def     A__	(							self   )    ->					Tuple:
        '''simple docstring'''






        return len(self.encoder   )




  def     A__	(							self   )    ->					Union[str, Any]:
        '''simple docstring'''






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




  def     A__	(							self				,  lowerCAmelCase   )    ->					List[Any]:
        '''simple docstring'''






        if token in self.cache:
              return self.cache[token]
        _lowercase      			=tuple(_UpperCAmelCase   )
        _lowercase      			=get_pairs(_UpperCAmelCase   )

        if not pairs:
              return token

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




  def     A__	(							self				,  lowerCAmelCase   )    ->					int:
        '''simple docstring'''






        _lowercase      			=[]
        for token in re.findall(self.pat				,  _UpperCAmelCase   ):
              _lowercase      			=''.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     A__	(							self				,  lowerCAmelCase   )    ->					int:
        '''simple docstring'''






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




  def     A__	(							self				,  lowerCAmelCase   )    ->					int:
        '''simple docstring'''






        return self.decoder.get(_UpperCAmelCase   )




  def     A__	(							self				,  lowerCAmelCase   )    ->					Optional[Any]:
        '''simple docstring'''






        _lowercase      			=''.join(_UpperCAmelCase   )
        _lowercase      			=bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'				,  errors=self.errors   )
        return text




  def     A__	(							self				,  lowerCAmelCase				,  lowerCAmelCase = None   )    ->					Tuple[str]:
        '''simple docstring'''






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

        _lowercase      			=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!'   )
                          _lowercase      			=token_index
                    writer.write(' '.join(_UpperCAmelCase   ) + '\n'   )
                    index += 1

        return vocab_file, merge_file




  def     A__	(							self				,  lowerCAmelCase				,  lowerCAmelCase = None				,  lowerCAmelCase = False   )    ->					List[int]:
        '''simple docstring'''






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

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




  def     A__	(							self				,  lowerCAmelCase				,  lowerCAmelCase = None   )    ->					List[int]:
        '''simple docstring'''






        _lowercase      			=[self.sep_token_id]
        _lowercase      			=[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 + sep + token_ids_a + sep   ) * [0]




  def     A__	(							self				,  lowerCAmelCase				,  lowerCAmelCase=False				,  **lowerCAmelCase   )    ->					Any:
        '''simple docstring'''






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




  def     A__	(							self				,  lowerCAmelCase				,  lowerCAmelCase = None   )    ->					Any:
        '''simple docstring'''






        return token_ids_a + [self.eos_token_id]




  def     A__	(							self				,  lowerCAmelCase   )    ->					List[int]:
        '''simple docstring'''






        _lowercase      			=[]
        for is_user, text in conversation.iter_texts():
              if is_user:
                    # We need to space prefix as it's being done within blenderbot
                    inputs.append(' ' + text   )
              else:
                    # Generated responses should contain them already.
                    inputs.append(_UpperCAmelCase   )

        _lowercase      			='  '.join(_UpperCAmelCase   )
        _lowercase      			=self.encode(_UpperCAmelCase   )
        if len(_UpperCAmelCase   ) > self.model_max_length:
              _lowercase      			=input_ids[-self.model_max_length :]
              logger.warning(F'''Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'''   )
        return input_ids






import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links






def 					UpperCamelCase   (      __magic_name__	:				Dict       ,       __magic_name__	:				List[str]=7	)  ->    Dict:
		"""simple docstring"""




		lowercase__	     =						None
		if token is not None:
				lowercase__	     =						{"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

		# The id of a workflow (not of a workflow run)
		lowercase__	     =						"""636036"""

		lowercase__	     =						f'''https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'''
		# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
		url += f'''?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'''

		lowercase__	     =						requests.get(__magic_name__       ,       headers=__magic_name__	).json()

		return result["workflow_runs"]






def 					UpperCamelCase   (      __magic_name__	:				str	)  ->    Dict:
		"""simple docstring"""




		lowercase__	     =						get_daily_ci_runs(__magic_name__	)
		lowercase__	     =						None
		for workflow_run in workflow_runs:
				if workflow_run["status"] == "completed":
						lowercase__	     =						workflow_run["""id"""]
						break

		return workflow_run_id






def 					UpperCamelCase   (      __magic_name__	:				str       ,       __magic_name__	:				List[Any]       ,       __magic_name__	:				Dict	)  ->    str:
		"""simple docstring"""




		lowercase__	     =						get_last_daily_ci_runs(__magic_name__	)
		if workflow_run_id is not None:
				lowercase__	     =						get_artifacts_links(worflow_run_id=__magic_name__       ,       token=__magic_name__	)
				for artifact_name in artifact_names:
						if artifact_name in artifacts_links:
								lowercase__	     =						artifacts_links[artifact_name]
								download_artifact(
								    artifact_name=__magic_name__       ,       artifact_url=__magic_name__       ,       output_dir=__magic_name__       ,       token=__magic_name__	)







def 					UpperCamelCase   (      __magic_name__	:				List[str]       ,       __magic_name__	:				str       ,       __magic_name__	:				Union[str, Any]	)  ->    Tuple:
		"""simple docstring"""




		get_last_daily_ci_artifacts(__magic_name__       ,       __magic_name__       ,       __magic_name__	)

		lowercase__	     =						{}
		for artifact_name in artifact_names:
				lowercase__	     =						os.path.join(__magic_name__       ,       f'''{artifact_name}.zip'''	)
				if os.path.isfile(__magic_name__	):
						lowercase__	     =						{}
						with zipfile.ZipFile(__magic_name__	) as z:
								for filename in z.namelist():
										if not os.path.isdir(__magic_name__	):
												# read the file
												with z.open(__magic_name__	) as f:
														lowercase__	     =						f.read().decode("""UTF-8"""	)

		return results

