


import collections
import json
import math
import os
import re
import time
from fnmatch import fnmatch
from typing import Dict

import requests
from slack_sdk import WebClient


SCREAMING_SNAKE_CASE						:Dict			=  WebClient(token=os.environ['''CI_SLACK_BOT_TOKEN'''])



def       _lowerCAmelCase    (				lowerCAmelCase_				:Optional[Any]				)->Any:
   '''simple docstring'''






   snake_case_            =       test_results.split(" "				)

   snake_case_            =       0
   snake_case_            =       0

   # When the output is short enough, the output is surrounded by = signs: "== OUTPUT =="
   # When it is too long, those signs are not present.
   snake_case_            =       expressions[-2] if "=" in expressions[-1] else expressions[-1]

   for i, expression in enumerate(lowerCAmelCase_				):
      if "failed" in expression:
         failed += int(expressions[i - 1]				)
      if "passed" in expression:
         success += int(expressions[i - 1]				)

   return failed, success, time_spent



def       _lowerCAmelCase    (				lowerCAmelCase_				:Optional[Any]				)->Any:
   '''simple docstring'''






   snake_case_            =       {}
   snake_case_            =       None
   snake_case_            =       False
   for line in failures_short_lines.split("\n"				):
      if re.search(r"_ \[doctest\]"		,    lowerCAmelCase_				):
         snake_case_            =       True
         snake_case_            =       line.split(" "				)[2]
      elif in_error and not line.split(" "				)[0].isdigit():
         snake_case_            =       line
         snake_case_            =       False

   return failures


class      __lowerCAmelCase  :






  """simple docstring"""





  def __init__(  self							:							Dict     ,					_lowerCAmelCase							:							str     ,					_lowerCAmelCase							:							Dict	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       title

     snake_case_            =       doc_test_results["time_spent"].split(","	)[0]
     snake_case_            =       doc_test_results["success"]
     snake_case_            =       doc_test_results["failures"]
     snake_case_            =       self.n_success + self.n_failures

     # Failures and success of the modeling tests
     snake_case_            =       doc_test_results



  @property
  def        lowerCAmelCase__	(  self							:							Dict	) ->			str:




     """simple docstring"""
     snake_case_            =       [self._time_spent]
     snake_case_            =       0

     for time in time_spent:
        snake_case_            =       time.split(":"	)

        # Time can be formatted as xx:xx:xx, as .xx, or as x.xx if the time spent was less than a minute.
        if len(_lowerCAmelCase	) == 1:
           snake_case_            =       [0, 0, time_parts[0]]

        snake_case_     ,     snake_case_     ,     snake_case_            =       int(time_parts[0]	), int(time_parts[1]	), float(time_parts[2]	)
        total_secs += hours * 3_6_0_0 + minutes * 6_0 + seconds

     snake_case_     ,     snake_case_     ,     snake_case_            =       total_secs // 3_6_0_0, (total_secs % 3_6_0_0) // 6_0, total_secs % 6_0
     return F'''{int(_lowerCAmelCase	)}h{int(_lowerCAmelCase	)}m{int(_lowerCAmelCase	)}s'''



  @property
  def        lowerCAmelCase__	(  self							:							Union[str, Any]	) ->			Dict:




     """simple docstring"""
     return {"type": "header", "text": {"type": "plain_text", "text": self.title}}



  @property
  def        lowerCAmelCase__	(  self							:							str	) ->			Dict:




     """simple docstring"""
     return {
         "type": "section",
         "text": {
             "type": "plain_text",
             "text": F'''🌞 There were no failures: all {self.n_tests} tests passed. The suite ran in {self.time}.''',
             "emoji": True,
         },
         "accessory": {
             "type": "button",
             "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
             "url": F'''https://github.com/huggingface/transformers/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
         },
     }



  @property
  def        lowerCAmelCase__	(  self							:							Tuple	) ->			Dict:




     """simple docstring"""
     return {
         "type": "section",
         "text": {
             "type": "plain_text",
             "text": (
                 F'''There were {self.n_failures} failures, out of {self.n_tests} tests.\nThe suite ran in'''
                 F''' {self.time}.'''
             ),
             "emoji": True,
         },
         "accessory": {
             "type": "button",
             "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
             "url": F'''https://github.com/huggingface/transformers/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
         },
     }



  @property
  def        lowerCAmelCase__	(  self							:							Union[str, Any]	) ->			Dict:




     """simple docstring"""
     snake_case_            =       4_0
     snake_case_            =       {k: v["failed"] for k, v in doc_test_results.items() if isinstance(_lowerCAmelCase     ,					_lowerCAmelCase	)}

     snake_case_            =       ""
     for category, failures in category_failures.items():
        if len(_lowerCAmelCase	) == 0:
           continue

        if report != "":
           report += "\n\n"

        report += F'''*{category} failures*:'''.ljust(line_length // 2	).rjust(line_length // 2	) + "\n"
        report += "`"
        report += "`\n`".join(_lowerCAmelCase	)
        report += "`"

     return {
         "type": "section",
         "text": {
             "type": "mrkdwn",
             "text": F'''The following examples had failures:\n\n\n{report}\n''',
         },
     }



  @property
  def        lowerCAmelCase__	(  self							:							Optional[Any]	) ->			str:




     """simple docstring"""
     snake_case_            =       [self.header]

     if self.n_failures > 0:
        blocks.append(self.failures	)

     if self.n_failures > 0:
        blocks.extend([self.category_failures]	)

     if self.n_failures == 0:
        blocks.append(self.no_failures	)

     return json.dumps(_lowerCAmelCase	)



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       [
         {
             "type": "section",
             "text": {
                 "type": "plain_text",
                 "text": "There was an issue running the tests.",
             },
             "accessory": {
                 "type": "button",
                 "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
                 "url": F'''https://github.com/huggingface/transformers/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
             },
         }
     ]

     print("Sending the following payload"	)
     print(json.dumps({"blocks": json.loads(_lowerCAmelCase	)}	)	)

     client.chat_postMessage(
         channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]     ,					text="There was an issue running the tests."     ,					blocks=_lowerCAmelCase     ,					)



  def        lowerCAmelCase__	(  self							:							int	) ->			Optional[Any]:




     """simple docstring"""
     print("Sending the following payload"	)
     print(json.dumps({"blocks": json.loads(self.payload	)}	)	)

     snake_case_            =       F'''{self.n_failures} failures out of {self.n_tests} tests,''' if self.n_failures else "All tests passed."

     snake_case_            =       client.chat_postMessage(
         channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]     ,					blocks=self.payload     ,					text=_lowerCAmelCase     ,					)



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							Optional[int]     ,					_lowerCAmelCase							:							Tuple	) ->			List[str]:




     """simple docstring"""
     snake_case_            =       ""
     for key, value in failures.items():
        snake_case_            =       value[:2_0_0] + " [Truncated]" if len(_lowerCAmelCase	) > 2_5_0 else value
        failures_text += F'''*{key}*\n_{value}_\n\n'''

     snake_case_            =       job_name
     snake_case_            =       {"type": "section", "text": {"type": "mrkdwn", "text": text}}

     if job_link is not None:
        snake_case_            =       {
            "type": "button",
            "text": {"type": "plain_text", "text": "GitHub Action job", "emoji": True},
            "url": job_link,
        }

     return [
         {"type": "header", "text": {"type": "plain_text", "text": title.upper(), "emoji": True}},
         content,
         {"type": "section", "text": {"type": "mrkdwn", "text": failures_text}},
     ]



  def        lowerCAmelCase__	(  self							:							Union[str, Any]	) ->			str:




     """simple docstring"""
     if self.thread_ts is None:
        raise ValueError("Can only post reply if a post has been made."	)

     snake_case_            =       self.doc_test_results.pop("job_link"	)
     self.doc_test_results.pop("failures"	)
     self.doc_test_results.pop("success"	)
     self.doc_test_results.pop("time_spent"	)

     snake_case_            =       sorted(self.doc_test_results.items()     ,					key=lambda _lowerCAmelCase	: t[0]	)
     for job, job_result in sorted_dict:
        if len(job_result["failures"]	):
           snake_case_            =       F'''*Num failures* :{len(job_result['failed']	)} \n'''
           snake_case_            =       job_result["failures"]
           snake_case_            =       self.get_reply_blocks(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					text=_lowerCAmelCase	)

           print("Sending the following reply"	)
           print(json.dumps({"blocks": blocks}	)	)

           client.chat_postMessage(
               channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]     ,					text=F'''Results for {job}'''     ,					blocks=_lowerCAmelCase     ,					thread_ts=self.thread_ts["ts"]     ,					)

           time.sleep(1	)






def       _lowerCAmelCase    (				)->Optional[Any]:
   '''simple docstring'''






   snake_case_            =       os.environ["GITHUB_RUN_ID"]
   snake_case_            =       F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100'''
   snake_case_            =       requests.get(lowerCAmelCase_				).json()
   snake_case_            =       {}

   try:
      jobs.update({job["name"]: job["html_url"] for job in result["jobs"]}				)
      snake_case_            =       math.ceil((result["total_count"] - 100) / 100				)

      for i in range(lowerCAmelCase_				):
         snake_case_            =       requests.get(url + F'''&page={i + 2}'''				).json()
         jobs.update({job["name"]: job["html_url"] for job in result["jobs"]}				)

      return jobs
   except Exception as e:
      print("Unknown error, could not fetch links."		,    lowerCAmelCase_				)

   return {}



def       _lowerCAmelCase    (				lowerCAmelCase_				:str				)->List[Any]:
   '''simple docstring'''






   snake_case_            =       {}

   if os.path.exists(lowerCAmelCase_				):
      snake_case_            =       os.listdir(lowerCAmelCase_				)
      for file in files:
         try:
            with open(os.path.join(lowerCAmelCase_		,    lowerCAmelCase_				)		,    encoding="utf-8"				) as f:
               snake_case_            =       f.read()
         except UnicodeDecodeError as e:
            raise ValueError(F'''Could not open {os.path.join(lowerCAmelCase_		,    lowerCAmelCase_				)}.'''				) from e

   return _artifact



def       _lowerCAmelCase    (				)->Any:
   '''simple docstring'''






   class      __lowerCAmelCase  :






     """simple docstring"""





     def __init__(  self							:							List[Any]     ,					_lowerCAmelCase							:							str	) ->			Optional[int]:




        """simple docstring"""
        snake_case_            =       name
        snake_case_            =       []



     def __str__(  self							:							Optional[Any]	) ->			List[Any]:




        """simple docstring"""
        return self.name



     def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							str	) ->			Optional[Any]:




        """simple docstring"""
        self.paths.append({"name": self.name, "path": path}	)






   snake_case_            =       {}

   snake_case_            =       filter(os.path.isdir		,    os.listdir()				)
   for directory in directories:
      snake_case_            =       directory
      if artifact_name not in _available_artifacts:
         snake_case_            =       Artifact(lowerCAmelCase_				)

         _available_artifacts[artifact_name].add_path(lowerCAmelCase_				)

   return _available_artifacts


if __name__ == "__main__":
   SCREAMING_SNAKE_CASE						:List[Any]			=  get_job_links()
   SCREAMING_SNAKE_CASE						:str			=  retrieve_available_artifacts()

   SCREAMING_SNAKE_CASE						:List[Any]			=  collections.OrderedDict(
       [
           ('''*.py''', '''API Examples'''),
           ('''*.md''', '''MD Examples'''),
       ]
   )

   # This dict will contain all the information relative to each doc test category:
   # - failed: list of failed tests
   # - failures: dict in the format 'test': 'error_message'
   SCREAMING_SNAKE_CASE						:Optional[Any]			=  {
       v: {
           '''failed''': [],
           '''failures''': {},
       }
       for v in docs.values()
   }

   # Link to the GitHub Action job
   SCREAMING_SNAKE_CASE						:Dict			=  github_actions_job_links.get('''run_doctests''')

   SCREAMING_SNAKE_CASE						:Any			=  available_artifacts['''doc_tests_gpu_test_reports'''].paths[0]
   SCREAMING_SNAKE_CASE						:str			=  retrieve_artifact(artifact_path['''name'''])
   if "stats" in artifact:
      SCREAMING_SNAKE_CASE		,						SCREAMING_SNAKE_CASE		,						SCREAMING_SNAKE_CASE						:Optional[Any]			=  handle_test_results(artifact['''stats'''])
      SCREAMING_SNAKE_CASE						:Optional[int]			=  failed
      SCREAMING_SNAKE_CASE						:int			=  success
      SCREAMING_SNAKE_CASE						:str			=  time_spent[1:-1] + ''', '''

      SCREAMING_SNAKE_CASE						:int			=  extract_first_line_failure(artifact['''failures_short'''])
      for line in artifact["summary_short"].split('''\n'''):
         if re.search('''FAILED''', line):
            SCREAMING_SNAKE_CASE						:str			=  line.replace('''FAILED ''', '''''')
            SCREAMING_SNAKE_CASE						:Tuple			=  line.split()[0].replace('''\n''', '''''')

            if "::" in line:
               SCREAMING_SNAKE_CASE		,						SCREAMING_SNAKE_CASE						:int			=  line.split('''::''')
            else:
               SCREAMING_SNAKE_CASE		,						SCREAMING_SNAKE_CASE						:str			=  line, line

            for file_regex in docs.keys():
               if fnmatch(file_path, file_regex):
                  SCREAMING_SNAKE_CASE						:List[Any]			=  docs[file_regex]
                  doc_test_results[category]["failed"].append(test)

                  SCREAMING_SNAKE_CASE						:int			=  all_failures[test] if test in all_failures else '''N/A'''
                  SCREAMING_SNAKE_CASE						:str			=  failure
                  break

   SCREAMING_SNAKE_CASE						:Optional[Any]			=  Message('''🤗 Results of the doc tests.''', doc_test_results)
   message.post()
   message.post_reply()








import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


SCREAMING_SNAKE_CASE						:str			=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:Dict			=  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE						:str			=  {
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/tokenizer.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/tokenizer.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json''',
        '''roberta-base-openai-detector''': (
            '''https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json'''
        ),
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json'''
        ),
    },
}

SCREAMING_SNAKE_CASE						:Tuple			=  {
    '''roberta-base''': 5_12,
    '''roberta-large''': 5_12,
    '''roberta-large-mnli''': 5_12,
    '''distilroberta-base''': 5_12,
    '''roberta-base-openai-detector''': 5_12,
    '''roberta-large-openai-detector''': 5_12,
}


class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							VOCAB_FILES_NAMES
  _SCREAMING_SNAKE_CASE		     =							PRETRAINED_VOCAB_FILES_MAP
  _SCREAMING_SNAKE_CASE		     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _SCREAMING_SNAKE_CASE		     =							['input_ids', 'attention_mask']
  _SCREAMING_SNAKE_CASE		     =							RobertaTokenizer



  def __init__(  self							:							Tuple     ,					_lowerCAmelCase							:							Union[str, Any]=None     ,					_lowerCAmelCase							:							Tuple=None     ,					_lowerCAmelCase							:							Any=None     ,					_lowerCAmelCase							:							Optional[Any]="replace"     ,					_lowerCAmelCase							:							str="<s>"     ,					_lowerCAmelCase							:							Tuple="</s>"     ,					_lowerCAmelCase							:							Any="</s>"     ,					_lowerCAmelCase							:							Tuple="<s>"     ,					_lowerCAmelCase							:							Any="<unk>"     ,					_lowerCAmelCase							:							Tuple="<pad>"     ,					_lowerCAmelCase							:							List[str]="<mask>"     ,					_lowerCAmelCase							:							str=False     ,					_lowerCAmelCase							:							Union[str, Any]=True     ,					**_lowerCAmelCase							:							int     ,					) ->			str:




     """simple docstring"""
     super().__init__(
         _lowerCAmelCase     ,					_lowerCAmelCase     ,					tokenizer_file=_lowerCAmelCase     ,					errors=_lowerCAmelCase     ,					bos_token=_lowerCAmelCase     ,					eos_token=_lowerCAmelCase     ,					sep_token=_lowerCAmelCase     ,					cls_token=_lowerCAmelCase     ,					unk_token=_lowerCAmelCase     ,					pad_token=_lowerCAmelCase     ,					mask_token=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase     ,					**_lowerCAmelCase     ,					)

     snake_case_            =       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
     if pre_tok_state.get("add_prefix_space"     ,					_lowerCAmelCase	) != add_prefix_space:
        snake_case_            =       getattr(_lowerCAmelCase     ,					pre_tok_state.pop("type"	)	)
        snake_case_            =       add_prefix_space
        snake_case_            =       pre_tok_class(**_lowerCAmelCase	)

     snake_case_            =       add_prefix_space

     snake_case_            =       "post_processor"
     snake_case_            =       getattr(self.backend_tokenizer     ,					_lowerCAmelCase     ,					_lowerCAmelCase	)
     if tokenizer_component_instance:
        snake_case_            =       json.loads(tokenizer_component_instance.__getstate__()	)

        # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
        if "sep" in state:
           snake_case_            =       tuple(state["sep"]	)
        if "cls" in state:
           snake_case_            =       tuple(state["cls"]	)

        snake_case_            =       False

        if state.get("add_prefix_space"     ,					_lowerCAmelCase	) != add_prefix_space:
           snake_case_            =       add_prefix_space
           snake_case_            =       True

        if state.get("trim_offsets"     ,					_lowerCAmelCase	) != trim_offsets:
           snake_case_            =       trim_offsets
           snake_case_            =       True

        if changes_to_apply:
           snake_case_            =       getattr(_lowerCAmelCase     ,					state.pop("type"	)	)
           snake_case_            =       component_class(**_lowerCAmelCase	)
           setattr(self.backend_tokenizer     ,					_lowerCAmelCase     ,					_lowerCAmelCase	)



  @property
  def        lowerCAmelCase__	(  self							:							Dict	) ->			str:




     """simple docstring"""
     if self._mask_token is None:
        if self.verbose:
           logger.error("Using mask_token, but it is not set yet."	)
        return None
     return str(self._mask_token	)



  @mask_token.setter
  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							Tuple	) ->			Optional[int]:




     """simple docstring"""
     snake_case_            =       AddedToken(_lowerCAmelCase     ,					lstrip=_lowerCAmelCase     ,					rstrip=_lowerCAmelCase	) if isinstance(_lowerCAmelCase     ,					_lowerCAmelCase	) else value
     snake_case_            =       value



  def        lowerCAmelCase__	(  self							:							Dict     ,					*_lowerCAmelCase							:							Optional[int]     ,					**_lowerCAmelCase							:							Optional[int]	) ->			BatchEncoding:




     """simple docstring"""
     snake_case_            =       kwargs.get("is_split_into_words"     ,					_lowerCAmelCase	)
     assert self.add_prefix_space or not is_split_into_words, (
         F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
         "to use it with pretokenized inputs."
     )

     return super()._batch_encode_plus(*_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Optional[Any]     ,					*_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Any	) ->			BatchEncoding:




     """simple docstring"""
     snake_case_            =       kwargs.get("is_split_into_words"     ,					_lowerCAmelCase	)

     assert self.add_prefix_space or not is_split_into_words, (
         F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
         "to use it with pretokenized inputs."
     )

     return super()._encode_plus(*_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							str     ,					_lowerCAmelCase							:							Optional[str] = None	) ->			Tuple[str]:




     """simple docstring"""
     snake_case_            =       self._tokenizer.model.save(_lowerCAmelCase     ,					name=_lowerCAmelCase	)
     return tuple(_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Any     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							List[Any]=None	) ->			Union[str, Any]:




     """simple docstring"""
     snake_case_            =       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
     if token_ids_a is None:
        return output

     return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]



  def        lowerCAmelCase__	(  self							:							Union[str, Any]     ,					_lowerCAmelCase							:							List[int]     ,					_lowerCAmelCase							:							Optional[List[int]] = None	) ->			List[int]:




     """simple docstring"""
     snake_case_            =       [self.sep_token_id]
     snake_case_            =       [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]




