

import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


lowercase_             =     logging.get_logger(__name__)
def   a   (    A__			:     Optional[Any]   ,     A__			:     Optional[Any]  )					->   int:





      """simple docstring"""



      _lowercase			 =set()
      _lowercase			 =[]

      def parse_line(A__			:     int  ):
            for line in fp:
                  if isinstance(A__   ,     A__  ):
                        _lowercase			 =line.decode('UTF-8'  )
                  if "warnings summary (final)" in line:
                        continue
                  # This means we are outside the body of a warning
                  elif not line.startswith(' '  ):
                        # process a single warning and move it to `selected_warnings`.
                        if len(A__  ) > 0:
                              _lowercase			 ='\n'.join(A__  )
                              # Only keep the warnings specified in `targets`
                              if any(F''': {x}: ''' in warning for x in targets  ):
                                    selected_warnings.add(A__  )
                              buffer.clear()
                        continue
                  else:
                        _lowercase			 =line.strip()
                        buffer.append(A__  )

      if from_gh:
            for filename in os.listdir(A__  ):
                  _lowercase			 =os.path.join(A__   ,     A__  )
                  if not os.path.isdir(A__  ):
                        # read the file
                        if filename != "warnings.txt":
                              continue
                        with open(A__  ) as fp:
                              parse_line(A__  )
      else:
            try:
                  with zipfile.ZipFile(A__  ) as z:
                        for filename in z.namelist():
                              if not os.path.isdir(A__  ):
                                    # read the file
                                    if filename != "warnings.txt":
                                          continue
                                    with z.open(A__  ) as fp:
                                          parse_line(A__  )
            except Exception:
                  logger.warning(
                      F'''{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.'''  )

      return selected_warnings
def   a   (    A__			:     Any   ,     A__			:     Dict  )					->   List[Any]:





      """simple docstring"""



      _lowercase			 =set()

      _lowercase			 =[os.path.join(A__   ,     A__  ) for p in os.listdir(A__  ) if (p.endswith('.zip'  ) or from_gh)]
      for p in paths:
            selected_warnings.update(extract_warnings_from_single_artifact(A__   ,     A__  )  )

      return selected_warnings


if __name__ == "__main__":
  def   a   (    A__			:     str  )					->   Dict:





        """simple docstring"""



        return values.split(','  )

  lowercase_             =     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.')
  # optional parameters
  parser.add_argument(
      '--targets',
      default='DeprecationWarning,UserWarning,FutureWarning',
      type=list_str,
      help='Comma-separated list of target warning(s) which we want to extract.',
  )
  parser.add_argument(
      '--from_gh',
      action='store_true',
      help='If running from a GitHub action workflow and collecting warnings from its artifacts.',
  )

  lowercase_             =     parser.parse_args()

  lowercase_             =     args.from_gh
  if from_gh:
    # The artifacts have to be downloaded using `actions/download-artifact@v3`
    pass
  else:
    os.makedirs(args.output_dir, exist_ok=True)

    # get download links
    lowercase_             =     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)

    # download artifacts
    for idx, (name, url) in enumerate(artifacts.items()):
      print(name)
      print(url)
      print('=' * 8_0)
      download_artifact(name, url, args.output_dir, args.token)
      # Be gentle to GitHub
      time.sleep(1)

    # extract warnings from artifacts
  lowercase_             =     extract_warnings(args.output_dir, args.targets)
  lowercase_             =     sorted(selected_warnings)
  with open(os.path.join(args.output_dir, 'selected_warnings.json'), 'w', encoding='UTF-8') as fp:
    json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)





import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE    ,    unittest.TestCase							):
  _a		    =						OpenAIGPTTokenizer
  _a		    =						OpenAIGPTTokenizerFast
  _a		    =						True
  _a		    =						False




  def 						A__  (       self      )						->				Tuple:
        '''simple docstring'''






        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        _lowercase			 =[
            'l',
            'o',
            'w',
            'e',
            'r',
            's',
            't',
            'i',
            'd',
            'n',
            'w</w>',
            'r</w>',
            't</w>',
            'lo',
            'low',
            'er</w>',
            'low</w>',
            'lowest</w>',
            'newer</w>',
            'wider</w>',
            '<unk>',
        ]
        _lowercase			 =dict(zip(lowerCAmelCase							,     range(len(lowerCAmelCase      )      )      )      )
        _lowercase			 =['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

        _lowercase			 =os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES['vocab_file']      )
        _lowercase			 =os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES['merges_file']      )
        with open(self.vocab_file							,     'w'      ) as fp:
              fp.write(json.dumps(lowerCAmelCase      )      )
        with open(self.merges_file							,     'w'      ) as fp:
              fp.write('\n'.join(lowerCAmelCase      )      )




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






        return "lower newer", "lower newer"




  def 						A__  (       self      )						->				Tuple:
        '''simple docstring'''






        _lowercase			 =OpenAIGPTTokenizer(self.vocab_file							,     self.merges_file      )

        _lowercase			 ='lower'
        _lowercase			 =['low', 'er</w>']
        _lowercase			 =tokenizer.tokenize(lowerCAmelCase      )
        self.assertListEqual(lowerCAmelCase							,     lowerCAmelCase      )

        _lowercase			 =tokens + ['<unk>']
        _lowercase			 =[14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase      )							,     lowerCAmelCase      )




  def 						A__  (       self							,     lowerCAmelCase=15      )						->				Union[str, Any]:
        '''simple docstring'''






        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
                    _lowercase			 =self.rust_tokenizer_class.from_pretrained(lowerCAmelCase							,     **lowerCAmelCase      )

                    # Simple input
                    _lowercase			 ='This is a simple input'
                    _lowercase			 =['This is a simple input 1', 'This is a simple input 2']
                    _lowercase			 =('This is a simple input', 'This is a pair')
                    _lowercase			 =[
                        ('This is a simple input 1', 'This is a simple input 2'),
                        ('This is a simple pair 1', 'This is a simple pair 2'),
                    ]

                    # Simple input tests
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Simple input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Simple input
                    self.assertRaises(
                        lowerCAmelCase							,     tokenizer_r.batch_encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'							,     )

                    # Pair input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Pair input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Pair input
                    self.assertRaises(
                        lowerCAmelCase							,     tokenizer_r.batch_encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'							,     )




  def 						A__  (       self      )						->				Dict:
        '''simple docstring'''






        pass





@require_ftfy
@require_spacy
@require_tokenizers
class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE							):
  pass


