


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

import requests

def    lowercase_	(	_A    :					Union[str, Any]					,      _A    :					Any=None		):

      """simple docstring"""




      lowerCamelCase__	:       Optional[Any]					=						None
      if token is not None:
            lowerCamelCase__	:       Dict					=						{"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

      lowerCamelCase__	:       List[str]					=						F"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
      lowerCamelCase__	:       Tuple					=						requests.get(_A					,      headers=_A		).json()
      lowerCamelCase__	:       Any					=						{}

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

            for i in range(_A		):
                  lowerCamelCase__	:       Union[str, Any]					=						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    lowercase_	(	_A    :					int					,      _A    :					int=None		):

      """simple docstring"""




      lowerCamelCase__	:       Dict					=						None
      if token is not None:
            lowerCamelCase__	:       Optional[Any]					=						{"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

      lowerCamelCase__	:       Union[str, Any]					=						F"https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"
      lowerCamelCase__	:       Any					=						requests.get(_A					,      headers=_A		).json()
      lowerCamelCase__	:       Tuple					=						{}

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

            for i in range(_A		):
                  lowerCamelCase__	:       List[str]					=						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    lowercase_	(	_A    :					Any					,      _A    :					Union[str, Any]					,      _A    :					int					,      _A    :					int		):

      """simple docstring"""




      lowerCamelCase__	:       Union[str, Any]					=						None
      if token is not None:
            lowerCamelCase__	:       Optional[int]					=						{"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

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

def    lowercase_	(	_A    :					str					,      _A    :					Union[str, Any]=None		):

      """simple docstring"""




      lowerCamelCase__	:       Optional[Any]					=						[]
      lowerCamelCase__	:       Any					=						[]
      lowerCamelCase__	:       Tuple					=						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:
                                          lowerCamelCase__	:       Optional[int]					=						line.decode("UTF-8"		).strip()
                                          if filename == "failures_line.txt":
                                                try:
                                                      # `error_line` is the place where `error` occurs
                                                      lowerCamelCase__	:       Any					=						line[: line.index(": "		)]
                                                      lowerCamelCase__	:       Union[str, Any]					=						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
                                                lowerCamelCase__	:       Union[str, Any]					=						line[len("FAILED "		) :]
                                                failed_tests.append(_A		)
                                          elif filename == "job_name.txt":
                                                lowerCamelCase__	:       Union[str, Any]					=						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."		)

      lowerCamelCase__	:       List[Any]					=						None
      if job_name and job_links:
            lowerCamelCase__	:       List[Any]					=						job_links.get(_A					,      _A		)

      # A list with elements of the form (line of error, error, failed test)
      lowerCamelCase__	:       Optional[Any]					=						[x + [y] + [job_link] for x, y in zip(_A					,      _A		)]

      return result

def    lowercase_	(	_A    :					str					,      _A    :					str=None		):

      """simple docstring"""




      lowerCamelCase__	:       str					=						[]

      lowerCamelCase__	:       List[Any]					=						[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    lowercase_	(	_A    :					Tuple					,      _A    :					Optional[Any]=None		):

      """simple docstring"""




      lowerCamelCase__	:       List[str]					=						Counter()
      counter.update([x[1] for x in logs]		)
      lowerCamelCase__	:       Union[str, Any]					=						counter.most_common()
      lowerCamelCase__	:       int					=						{}
      for error, count in counts:
            if error_filter is None or error not in error_filter:
                  lowerCamelCase__	:       Optional[int]					=						{"count": count, "failed_tests": [(x[2], x[0]) for x in logs if x[1] == error]}

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

def    lowercase_	(	_A    :					List[str]		):

      """simple docstring"""




      lowerCamelCase__	:       Any					=						test.split("::"		)[0]
      if test.startswith("tests/models/"		):
            lowerCamelCase__	:       List[Any]					=						test.split("/"		)[2]
      else:
            lowerCamelCase__	:       int					=						None

      return test

def    lowercase_	(	_A    :					Optional[int]					,      _A    :					Union[str, Any]=None		):

      """simple docstring"""




      lowerCamelCase__	:       List[Any]					=						[(x[0], x[1], get_model(x[2]		)) for x in logs]
      lowerCamelCase__	:       Optional[Any]					=						[x for x in logs if x[2] is not None]
      lowerCamelCase__	:       Optional[Any]					=						{x[2] for x in logs}

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

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

def    lowercase_	(	_A    :					List[str]		):

      """simple docstring"""




      lowerCamelCase__	:       Any					=						"| no. | error | status |"
      lowerCamelCase__	:       Optional[Any]					=						"|-:|:-|:-|"
      lowerCamelCase__	:       Union[str, Any]					=						[header, sep]
      for error in reduced_by_error:
            lowerCamelCase__	:       Optional[Any]					=						reduced_by_error[error]["count"]
            lowerCamelCase__	:       Union[str, Any]					=						F"| {count} | {error[:100]} |  |"
            lines.append(_A		)

      return "\n".join(_A		)

def    lowercase_	(	_A    :					Any		):

      """simple docstring"""




      lowerCamelCase__	:       Any					=						"| model | no. of errors | major error | count |"
      lowerCamelCase__	:       Union[str, Any]					=						"|-:|-:|-:|-:|"
      lowerCamelCase__	:       Union[str, Any]					=						[header, sep]
      for model in reduced_by_model:
            lowerCamelCase__	:       int					=						reduced_by_model[model]["count"]
            lowerCamelCase__					,     lowerCamelCase__	:       Dict					=						list(reduced_by_model[model]["errors"].items()		)[0]
            lowerCamelCase__	:       Union[str, Any]					=						F"| {model} | {count} | {error[:60]} | {_count} |"
            lines.append(_A		)

      return "\n".join(_A		)


if __name__ == "__main__":
    A   :					Tuple	=      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.")
    A   :					Tuple	=      parser.parse_args()

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

    A   :					Optional[int]	=      get_job_links(args.workflow_run_id, token=args.token)
    A   :					Union[str, Any]	=      {}
    # 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:
                A   :					Optional[Any]	=      k.find(" / ")
                A   :					Any	=      k[index + len(" / ") :]
            A   :					Optional[Any]	=      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)

    A   :					List[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)

    A   :					Any	=      get_all_errors(args.output_dir, job_links=job_links)

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

    # print the top 30 most common test errors
    A   :					str	=      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)

    A   :					str	=      reduce_by_error(errors)
    A   :					Tuple	=      reduce_by_model(errors)

    A   :					Union[str, Any]	=      make_github_table(reduced_by_error)
    A   :					List[str]	=      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)





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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


A   :					Tuple	=      logging.get_logger(__name__)


A   :					Tuple	=      {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all LED models at https://huggingface.co/models?filter=LED
A   :					int	=      {
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

A   :					Union[str, Any]	=      {
    "allenai/led-base-16384": 16384,
}

@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def    lowercase_	(	):

      """simple docstring"""




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

def    lowercase_	(	_A    :					Any		):

      """simple docstring"""




      lowerCamelCase__	:       Union[str, Any]					=						set()
      lowerCamelCase__	:       Optional[int]					=						word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)		)
            lowerCamelCase__	:       Any					=						char
      return pairs







class     _lowercase				(							lowercase__):


       """simple docstring"""




       A__      		=    VOCAB_FILES_NAMES
       A__      		=    PRETRAINED_VOCAB_FILES_MAP
       A__      		=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       A__      		=    ["input_ids", "attention_mask"]





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


             '''simple docstring'''



             lowerCamelCase__	:       Union[str, Any]					=						AddedToken(__lowerCamelCase      ,   lstrip=__lowerCamelCase      ,   rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase      ,   __lowerCamelCase ) else bos_token
             lowerCamelCase__	:       Optional[int]					=						AddedToken(__lowerCamelCase      ,   lstrip=__lowerCamelCase      ,   rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase      ,   __lowerCamelCase ) else eos_token
             lowerCamelCase__	:       str					=						AddedToken(__lowerCamelCase      ,   lstrip=__lowerCamelCase      ,   rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase      ,   __lowerCamelCase ) else sep_token
             lowerCamelCase__	:       int					=						AddedToken(__lowerCamelCase      ,   lstrip=__lowerCamelCase      ,   rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase      ,   __lowerCamelCase ) else cls_token
             lowerCamelCase__	:       Optional[Any]					=						AddedToken(__lowerCamelCase      ,   lstrip=__lowerCamelCase      ,   rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase      ,   __lowerCamelCase ) else unk_token
             lowerCamelCase__	:       Tuple					=						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
             lowerCamelCase__	:       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:
                   lowerCamelCase__	:       Union[str, Any]					=						json.load(__lowerCamelCase )
             lowerCamelCase__	:       List[str]					=						{v: k for k, v in self.encoder.items()}
             lowerCamelCase__	:       Union[str, Any]					=						errors  # how to handle errors in decoding
             lowerCamelCase__	:       List[Any]					=						bytes_to_unicode()
             lowerCamelCase__	:       Optional[Any]					=						{v: k for k, v in self.byte_encoder.items()}
             with open(__lowerCamelCase      ,   encoding="utf-8" ) as merges_handle:
                   lowerCamelCase__	:       List[Any]					=						merges_handle.read().split("\n" )[1:-1]
             lowerCamelCase__	:       str					=						[tuple(merge.split() ) for merge in bpe_merges]
             lowerCamelCase__	:       Optional[Any]					=						dict(zip(__lowerCamelCase      ,   range(len(__lowerCamelCase ) ) ) )
             lowerCamelCase__	:       List[Any]					=						{}
             lowerCamelCase__	:       Dict					=						add_prefix_space

             # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
             lowerCamelCase__	:       List[str]					=						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.bart.tokenization_bart.BartTokenizer.vocab_size
       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



             return len(self.encoder )





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Tuple      ,   __lowerCamelCase							:    Dict ):


             '''simple docstring'''



             if token in self.cache:
                   return self.cache[token]
             lowerCamelCase__	:       Union[str, Any]					=						tuple(__lowerCamelCase )
             lowerCamelCase__	:       Tuple					=						get_pairs(__lowerCamelCase )

             if not pairs:
                   return token

             while True:
                   lowerCamelCase__	:       str					=						min(__lowerCamelCase      ,   key=lambda __lowerCamelCase : self.bpe_ranks.get(__lowerCamelCase      ,   float("inf" ) ) )
                   if bigram not in self.bpe_ranks:
                         break
                   lowerCamelCase__					,     lowerCamelCase__	:       Union[str, Any]					=						bigram
                   lowerCamelCase__	:       int					=						[]
                   lowerCamelCase__	:       int					=						0
                   while i < len(__lowerCamelCase ):
                         try:
                               lowerCamelCase__	:       Union[str, Any]					=						word.index(__lowerCamelCase      ,   __lowerCamelCase )
                         except ValueError:
                               new_word.extend(word[i:] )
                               break
                         else:
                               new_word.extend(word[i:j] )
                               lowerCamelCase__	:       List[str]					=						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
                   lowerCamelCase__	:       Dict					=						tuple(__lowerCamelCase )
                   lowerCamelCase__	:       str					=						new_word
                   if len(__lowerCamelCase ) == 1:
                         break
                   else:
                         lowerCamelCase__	:       List[str]					=						get_pairs(__lowerCamelCase )
             lowerCamelCase__	:       Optional[int]					=						" ".join(__lowerCamelCase )
             lowerCamelCase__	:       Dict					=						word
             return word





       def 		lowerCAmelCase  (     self							:    Tuple      ,   __lowerCamelCase							:    List[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       List[Any]					=						[]
             for token in re.findall(self.pat      ,   __lowerCamelCase ):
                   lowerCamelCase__	:       Union[str, 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 		lowerCAmelCase  (     self							:    Any      ,   __lowerCamelCase							:    int ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    List[Any]      ,   __lowerCamelCase							:    Union[str, Any] ):


             '''simple docstring'''



             return self.decoder.get(__lowerCamelCase )





       def 		lowerCAmelCase  (     self							:    Union[str, Any]      ,   __lowerCamelCase							:    Tuple ):


             '''simple docstring'''



             lowerCamelCase__	:       Union[str, Any]					=						"".join(__lowerCamelCase )
             lowerCamelCase__	:       Dict					=						bytearray([self.byte_decoder[c] for c in text] ).decode("utf-8"      ,   errors=self.errors )
             return text





       def 		lowerCAmelCase  (     self							:    Optional[int]      ,   __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
             lowerCamelCase__	:       List[Any]					=						os.path.join(
                 __lowerCamelCase      ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
             lowerCamelCase__	:       Union[str, 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" )

             lowerCamelCase__	:       Tuple					=						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!" )
                               lowerCamelCase__	:       List[Any]					=						token_index
                         writer.write(" ".join(__lowerCamelCase ) + "\n" )
                         index += 1

             return vocab_file, merge_file





       def 		lowerCAmelCase  (     self							:    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]
             lowerCamelCase__	:       List[str]					=						[self.cls_token_id]
             lowerCamelCase__	:       int					=						[self.sep_token_id]
             return cls + token_ids_a + sep + sep + token_ids_a + sep





       def 		lowerCAmelCase  (     self							:    Tuple      ,   __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 		lowerCAmelCase  (     self							:    List[Any]      ,   __lowerCamelCase							:    List[int]      ,   __lowerCamelCase							:    Optional[List[int]] = None ):


             '''simple docstring'''



             lowerCamelCase__	:       Any					=						[self.sep_token_id]
             lowerCamelCase__	:       Union[str, Any]					=						[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 		lowerCAmelCase  (     self							:    List[str]      ,   __lowerCamelCase							:    int      ,   __lowerCamelCase							:    Dict=False      ,   **__lowerCamelCase							:    List[str] ):


             '''simple docstring'''



             lowerCamelCase__	:       Union[str, 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()):
                   lowerCamelCase__	:       Dict					=						" " + text
             return (text, kwargs)





       def 		lowerCAmelCase  (     self							:    Dict      ,   __lowerCamelCase							:    Union[Dict[str, EncodedInput], BatchEncoding]      ,   __lowerCamelCase							:    Optional[int] = None      ,   __lowerCamelCase							:    PaddingStrategy = PaddingStrategy.DO_NOT_PAD      ,   __lowerCamelCase							:    Optional[int] = None      ,   __lowerCamelCase							:    Optional[bool] = None      ,   ):


             '''simple docstring'''



             lowerCamelCase__	:       str					=						super()._pad(
                 encoded_inputs=__lowerCamelCase      ,   max_length=__lowerCamelCase      ,   padding_strategy=__lowerCamelCase      ,   pad_to_multiple_of=__lowerCamelCase      ,   return_attention_mask=__lowerCamelCase      ,   )

             # Load from model defaults
             if return_attention_mask is None:
                   lowerCamelCase__	:       str					=						"attention_mask" in self.model_input_names

             if return_attention_mask and "global_attention_mask" in encoded_inputs:
                   lowerCamelCase__	:       Optional[int]					=						encoded_inputs[self.model_input_names[0]]
                   # `global_attention_mask` need to have the same length as other (sequential) inputs.
                   lowerCamelCase__	:       Union[str, Any]					=						len(encoded_inputs["global_attention_mask"] ) != len(__lowerCamelCase )

                   if needs_to_be_padded:
                         lowerCamelCase__	:       Dict					=						len(__lowerCamelCase ) - len(encoded_inputs["global_attention_mask"] )

                         if self.padding_side == "right":
                               # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                               lowerCamelCase__	:       Optional[int]					=						(
                                   encoded_inputs["global_attention_mask"] + [-1] * difference
                               )
                         elif self.padding_side == "left":
                               lowerCamelCase__	:       Union[str, Any]					=						[-1] * difference + encoded_inputs[
                                   "global_attention_mask"
                               ]
                         else:
                               raise ValueError("Invalid padding strategy:" + str(self.padding_side ) )

             return encoded_inputs


