



'''simple docstring'''


import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests







def 				__lowerCamelCase				(   A__    ,						A__=None    )       ->	Any:






   """simple docstring"""
   UpperCamelCase					=  None
   if token is not None:
      UpperCamelCase					=  {'Accept': 'application/vnd.github+json', 'Authorization': F"""Bearer {token}"""}

   UpperCamelCase					=  F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
   UpperCamelCase					=  requests.get(A__    ,						headers=A__    ).json()
   UpperCamelCase					=  {}

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

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

      return job_links
   except Exception:
      print(F"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""    )

   return {}







def 				__lowerCamelCase				(   A__    ,						A__=None    )       ->	Optional[int]:






   """simple docstring"""
   UpperCamelCase					=  None
   if token is not None:
      UpperCamelCase					=  {'Accept': 'application/vnd.github+json', 'Authorization': F"""Bearer {token}"""}

   UpperCamelCase					=  F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
   UpperCamelCase					=  requests.get(A__    ,						headers=A__    ).json()
   UpperCamelCase					=  {}

   try:
      artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}    )
      UpperCamelCase					=  math.ceil((result['total_count'] - 100) / 100    )

      for i in range(A__    ):
         UpperCamelCase					=  requests.get(url + F"""&page={i + 2}"""    ,						headers=A__    ).json()
         artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}    )

      return artifacts
   except Exception:
      print(F"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""    )

   return {}







def 				__lowerCamelCase				(   A__    ,						A__    ,						A__    ,						A__    )       ->	Any:






   """simple docstring"""
   UpperCamelCase					=  None
   if token is not None:
      UpperCamelCase					=  {'Accept': 'application/vnd.github+json', 'Authorization': F"""Bearer {token}"""}

   UpperCamelCase					=  requests.get(A__    ,						headers=A__    ,						allow_redirects=A__    )
   UpperCamelCase					=  result.headers['Location']
   UpperCamelCase					=  requests.get(A__    ,						allow_redirects=A__    )
   UpperCamelCase					=  os.path.join(A__    ,						F"""{artifact_name}.zip"""    )
   with open(A__    ,						'wb'    ) as fp:
      fp.write(response.content    )







def 				__lowerCamelCase				(   A__    ,						A__=None    )       ->	str:






   """simple docstring"""
   UpperCamelCase					=  []
   UpperCamelCase					=  []
   UpperCamelCase					=  None

   with zipfile.ZipFile(A__    ) as z:
      for filename in z.namelist():
         if not os.path.isdir(A__    ):
            # read the file
            if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
               with z.open(A__    ) as f:
                  for line in f:
                     UpperCamelCase					=  line.decode('UTF-8'    ).strip()
                     if filename == "failures_line.txt":
                        try:
                           # `error_line` is the place where `error` occurs
                           UpperCamelCase					=  line[: line.index(': '    )]
                           UpperCamelCase					=  line[line.index(': '    ) + len(': '    ) :]
                           errors.append([error_line, error]    )
                        except Exception:
                           # skip un-related lines
                           pass
                     elif filename == "summary_short.txt" and line.startswith('FAILED '    ):
                        # `test` is the test method that failed
                        UpperCamelCase					=  line[len('FAILED '    ) :]
                        failed_tests.append(A__    )
                     elif filename == "job_name.txt":
                        UpperCamelCase					=  line

   if len(A__    ) != len(A__    ):
      raise ValueError(
          F"""`errors` and `failed_tests` should have the same number of elements. Got {len(A__    )} for `errors` """
          F"""and {len(A__    )} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"""
          ' problem.'    )

   UpperCamelCase					=  None
   if job_name and job_links:
      UpperCamelCase					=  job_links.get(A__    ,						A__    )

   # A list with elements of the form (line of error, error, failed test)
   UpperCamelCase					=  [x + [y] + [job_link] for x, y in zip(A__    ,						A__    )]

   return result







def 				__lowerCamelCase				(   A__    ,						A__=None    )       ->	Tuple:






   """simple docstring"""
   UpperCamelCase					=  []

   UpperCamelCase					=  [os.path.join(A__    ,						A__    ) for p in os.listdir(A__    ) if p.endswith('.zip'    )]
   for p in paths:
      errors.extend(get_errors_from_single_artifact(A__    ,						job_links=A__    )    )

   return errors







def 				__lowerCamelCase				(   A__    ,						A__=None    )       ->	Tuple:






   """simple docstring"""
   UpperCamelCase					=  Counter()
   counter.update([x[1] for x in logs]    )
   UpperCamelCase					=  counter.most_common()
   UpperCamelCase					=  {}
   for error, count in counts:
      if error_filter is None or error not in error_filter:
         UpperCamelCase					=  {'count': count, 'failed_tests': [(x[2], x[0]) for x in logs if x[1] == error]}

   UpperCamelCase					=  dict(sorted(r.items()    ,						key=lambda A__    : item[1]["count"]    ,						reverse=A__    )    )
   return r







def 				__lowerCamelCase				(   A__    )       ->	Union[str, Any]:






   """simple docstring"""
   UpperCamelCase					=  test.split('::'    )[0]
   if test.startswith('tests/models/'    ):
      UpperCamelCase					=  test.split('/'    )[2]
   else:
      UpperCamelCase					=  None

   return test







def 				__lowerCamelCase				(   A__    ,						A__=None    )       ->	List[Any]:






   """simple docstring"""
   UpperCamelCase					=  [(x[0], x[1], get_model(x[2]    )) for x in logs]
   UpperCamelCase					=  [x for x in logs if x[2] is not None]
   UpperCamelCase					=  {x[2] for x in logs}

   UpperCamelCase					=  {}
   for test in tests:
      UpperCamelCase					=  Counter()
      # count by errors in `test`
      counter.update([x[1] for x in logs if x[2] == test]    )
      UpperCamelCase					=  counter.most_common()
      UpperCamelCase					=  {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
      UpperCamelCase					=  sum(error_counts.values()    )
      if n_errors > 0:
         UpperCamelCase					=  {'count': n_errors, 'errors': error_counts}

   UpperCamelCase					=  dict(sorted(r.items()    ,						key=lambda A__    : item[1]["count"]    ,						reverse=A__    )    )
   return r







def 				__lowerCamelCase				(   A__    )       ->	Tuple:






   """simple docstring"""
   UpperCamelCase					=  '| no. | error | status |'
   UpperCamelCase					=  '|-:|:-|:-|'
   UpperCamelCase					=  [header, sep]
   for error in reduced_by_error:
      UpperCamelCase					=  reduced_by_error[error]['count']
      UpperCamelCase					=  F"""| {count} | {error[:100]} |  |"""
      lines.append(A__    )

   return "\n".join(A__    )







def 				__lowerCamelCase				(   A__    )       ->	str:






   """simple docstring"""
   UpperCamelCase					=  '| model | no. of errors | major error | count |'
   UpperCamelCase					=  '|-:|-:|-:|-:|'
   UpperCamelCase					=  [header, sep]
   for model in reduced_by_model:
      UpperCamelCase					=  reduced_by_model[model]['count']
      UpperCamelCase				,      UpperCamelCase					=  list(reduced_by_model[model]['errors'].items()    )[0]
      UpperCamelCase					=  F"""| {model} | {count} | {error[:60]} | {_count} |"""
      lines.append(A__    )

   return "\n".join(A__    )


if __name__ == "__main__":
   _lowerCamelCase	:       Any      	=	argparse.ArgumentParser()
   # Required parameters
   parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
   parser.add_argument(
       "--output_dir",
       type=str,
       required=True,
       help="Where to store the downloaded artifacts and other result files.",
   )
   parser.add_argument("--token", default=None, type=str, help="A token that has actions:read permission.")
   _lowerCamelCase	:       List[str]      	=	parser.parse_args()

   os.makedirs(args.output_dir, exist_ok=True)

   _lowerCamelCase	:       int      	=	get_job_links(args.workflow_run_id, token=args.token)
   _lowerCamelCase	:       int      	=	{}
   # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
   # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
   if _job_links:
      for k, v in _job_links.items():
         # This is how GitHub actions combine job names.
         if " / " in k:
            _lowerCamelCase	:       Optional[int]      	=	k.find(" / ")
            _lowerCamelCase	:       int      	=	k[index + len(" / ") :]
         _lowerCamelCase	:       int      	=	v
   with open(os.path.join(args.output_dir, "job_links.json"), "w", encoding="UTF-8") as fp:
      json.dump(job_links, fp, ensure_ascii=False, indent=4)

   _lowerCamelCase	:       str      	=	get_artifacts_links(args.workflow_run_id, token=args.token)
   with open(os.path.join(args.output_dir, "artifacts.json"), "w", encoding="UTF-8") as fp:
      json.dump(artifacts, fp, ensure_ascii=False, indent=4)

   for idx, (name, url) in enumerate(artifacts.items()):
      download_artifact(name, url, args.output_dir, args.token)
      # Be gentle to GitHub
      time.sleep(1)

   _lowerCamelCase	:       Union[str, Any]      	=	get_all_errors(args.output_dir, job_links=job_links)

   # `e[1]` is the error
   _lowerCamelCase	:       Optional[Any]      	=	Counter()
   counter.update([e[1] for e in errors])

   # print the top 30 most common test errors
   _lowerCamelCase	:       Optional[Any]      	=	counter.most_common(30)
   for item in most_common:
      print(item)

   with open(os.path.join(args.output_dir, "errors.json"), "w", encoding="UTF-8") as fp:
      json.dump(errors, fp, ensure_ascii=False, indent=4)

   _lowerCamelCase	:       Optional[int]      	=	reduce_by_error(errors)
   _lowerCamelCase	:       Tuple      	=	reduce_by_model(errors)

   _lowerCamelCase	:       Optional[int]      	=	make_github_table(reduced_by_error)
   _lowerCamelCase	:       Union[str, Any]      	=	make_github_table_per_model(reduced_by_model)

   with open(os.path.join(args.output_dir, "reduced_by_error.txt"), "w", encoding="UTF-8") as fp:
      fp.write(sa)
   with open(os.path.join(args.output_dir, "reduced_by_model.txt"), "w", encoding="UTF-8") as fp:
      fp.write(sa)






'''simple docstring'''




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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__       :	Optional[int]    = logging.get_logger(__name__)


UpperCamelCase__       :	Optional[int]    = {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase__       :	Optional[int]    = {
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
}

UpperCamelCase__       :	List[Any]    = {
    '''facebook/bart-base''': 10_24,
    '''facebook/bart-large''': 10_24,
    '''facebook/bart-large-mnli''': 10_24,
    '''facebook/bart-large-cnn''': 10_24,
    '''facebook/bart-large-xsum''': 10_24,
    '''yjernite/bart_eli5''': 10_24,
}


@lru_cache()
def 				lowerCAmelCase_   (	):
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		(
		    list(range(ord("""!"""					)       ,      ord("""~"""					) + 1					)					) + list(range(ord("""¡"""					)       ,      ord("""¬"""					) + 1					)					) + list(range(ord("""®"""					)       ,      ord("""ÿ"""					) + 1					)					)
		)
		__SCREAMING_SNAKE_CASE       :		int           =		bs[:]
		__SCREAMING_SNAKE_CASE       :		Any           =		0
		for b in range(2**8					):
				if b not in bs:
						bs.append(_lowerCamelCase					)
						cs.append(2**8 + n					)
						n += 1
		__SCREAMING_SNAKE_CASE       :		Dict           =		[chr(_lowerCamelCase					) for n in cs]
		return dict(zip(_lowerCamelCase       ,      _lowerCamelCase					)					)


def 				lowerCAmelCase_   (	_lowerCamelCase:   int					):
		__SCREAMING_SNAKE_CASE       :		List[str]           =		set()
		__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)					)
				__SCREAMING_SNAKE_CASE       :		Optional[int]           =		char
		return pairs






class 						_UpperCamelCase  (							lowerCamelCase__    ):


			'''simple docstring'''

			_A      :		List[str]			    =		VOCAB_FILES_NAMES
			_A      :		Tuple			    =		PRETRAINED_VOCAB_FILES_MAP
			_A      :		Optional[int]			    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_A      :		int			    =		['''input_ids''', '''attention_mask''']

			def __init__(							self     : Tuple							,     lowerCAmelCase__     : Optional[Any]							,     lowerCAmelCase__     : int							,     lowerCAmelCase__     : Tuple="replace"							,     lowerCAmelCase__     : str="<s>"							,     lowerCAmelCase__     : Dict="</s>"							,     lowerCAmelCase__     : Union[str, Any]="</s>"							,     lowerCAmelCase__     : Any="<s>"							,     lowerCAmelCase__     : str="<unk>"							,     lowerCAmelCase__     : Tuple="<pad>"							,     lowerCAmelCase__     : Union[str, Any]="<mask>"							,     lowerCAmelCase__     : Dict=False							,     **lowerCAmelCase__     : Optional[int]							,     ):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		List[Any]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else bos_token
					__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else eos_token
					__SCREAMING_SNAKE_CASE       :		Tuple           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else sep_token
					__SCREAMING_SNAKE_CASE       :		Tuple           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else cls_token
					__SCREAMING_SNAKE_CASE       :		Dict           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else unk_token
					__SCREAMING_SNAKE_CASE       :		List[Any]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else pad_token

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

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

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

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

			@property
			def UpperCamelCase__					(							self     : Optional[int]						):





					"""simple docstring"""






					return len(self.encoder						)

			def UpperCamelCase__					(							self     : List[str]						):





					"""simple docstring"""






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

			def UpperCamelCase__					(							self     : Any							,     lowerCAmelCase__     : Tuple						):





					"""simple docstring"""






					if token in self.cache:
							return self.cache[token]
					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		tuple(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE       :		Dict           =		get_pairs(lowerCAmelCase__						)

					if not pairs:
							return token

					while True:
							__SCREAMING_SNAKE_CASE       :		Optional[int]           =		min(lowerCAmelCase__							,     key=lambda lowerCAmelCase__						: self.bpe_ranks.get(lowerCAmelCase__							,     float("""inf"""						)						)						)
							if bigram not in self.bpe_ranks:
									break
							__SCREAMING_SNAKE_CASE       ,						__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		bigram
							__SCREAMING_SNAKE_CASE       :		int           =		[]
							__SCREAMING_SNAKE_CASE       :		List[str]           =		0
							while i < len(lowerCAmelCase__						):
									try:
											__SCREAMING_SNAKE_CASE       :		Any           =		word.index(lowerCAmelCase__							,     lowerCAmelCase__						)
									except ValueError:
											new_word.extend(word[i:]						)
											break
									else:
											new_word.extend(word[i:j]						)
											__SCREAMING_SNAKE_CASE       :		Dict           =		j

									if word[i] == first and i < len(lowerCAmelCase__						) - 1 and word[i + 1] == second:
											new_word.append(first + second						)
											i += 2
									else:
											new_word.append(word[i]						)
											i += 1
							__SCREAMING_SNAKE_CASE       :		Optional[int]           =		tuple(lowerCAmelCase__						)
							__SCREAMING_SNAKE_CASE       :		Optional[int]           =		new_word
							if len(lowerCAmelCase__						) == 1:
									break
							else:
									__SCREAMING_SNAKE_CASE       :		Tuple           =		get_pairs(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE       :		List[Any]           =		""" """.join(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE       :		Dict           =		word
					return word

			def UpperCamelCase__					(							self     : Optional[int]							,     lowerCAmelCase__     : Optional[int]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		[]
					for token in re.findall(self.pat							,     lowerCAmelCase__						):
							__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		"""""".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(lowerCAmelCase__						).split(""" """						)						)
					return bpe_tokens

			def UpperCamelCase__					(							self     : Dict							,     lowerCAmelCase__     : Tuple						):





					"""simple docstring"""






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

			def UpperCamelCase__					(							self     : Any							,     lowerCAmelCase__     : Tuple						):





					"""simple docstring"""






					return self.decoder.get(lowerCAmelCase__						)

			def UpperCamelCase__					(							self     : Dict							,     lowerCAmelCase__     : Optional[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		List[Any]           =		"""""".join(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE       :		Dict           =		bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""							,     errors=self.errors						)
					return text

			def UpperCamelCase__					(							self     : Optional[Any]							,     lowerCAmelCase__     : str							,     lowerCAmelCase__     : Optional[str] = None						):





					"""simple docstring"""






					if not os.path.isdir(lowerCAmelCase__						):
							logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
							return
					__SCREAMING_SNAKE_CASE       :		str           =		os.path.join(
					    lowerCAmelCase__							,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)
					__SCREAMING_SNAKE_CASE       :		List[Any]           =		os.path.join(
					    lowerCAmelCase__							,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]						)

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

					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		0
					with open(lowerCAmelCase__							,     """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!"""						)
											__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		token_index
									writer.write(""" """.join(lowerCAmelCase__						) + """\n"""						)
									index += 1

					return vocab_file, merge_file

			def UpperCamelCase__					(							self     : Optional[int]							,     lowerCAmelCase__     : List[int]							,     lowerCAmelCase__     : Optional[List[int]] = None						):





					"""simple docstring"""






					if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					__SCREAMING_SNAKE_CASE       :		List[Any]           =		[self.cls_token_id]
					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep

			def UpperCamelCase__					(							self     : List[Any]							,     lowerCAmelCase__     : List[int]							,     lowerCAmelCase__     : Optional[List[int]] = None							,     lowerCAmelCase__     : bool = False						):





					"""simple docstring"""






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

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

			def UpperCamelCase__					(							self     : Optional[Any]							,     lowerCAmelCase__     : List[int]							,     lowerCAmelCase__     : Optional[List[int]] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Tuple           =		[self.sep_token_id]
					__SCREAMING_SNAKE_CASE       :		Dict           =		[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 UpperCamelCase__					(							self     : Dict							,     lowerCAmelCase__     : str							,     lowerCAmelCase__     : Dict=False							,     **lowerCAmelCase__     : List[str]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		kwargs.pop("""add_prefix_space"""							,     self.add_prefix_space						)
					if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase__						) > 0 and not text[0].isspace()):
							__SCREAMING_SNAKE_CASE       :		List[str]           =		""" """ + text
					return (text, kwargs)