





"""simple docstring"""





import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class 		lowercase					(					_UpperCAmelCase     ,  unittest.TestCase					):
      _SCREAMING_SNAKE_CASE					=      RoCBertTokenizer
      _SCREAMING_SNAKE_CASE					=      None
      _SCREAMING_SNAKE_CASE					=      False
      _SCREAMING_SNAKE_CASE					=      True
      _SCREAMING_SNAKE_CASE					=      filter_non_english





      def     _snake_case			(       self )		->     Tuple:
            super().setUp()

            lowerCAmelCase  						=       ["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
            lowerCAmelCase  						=       {}
            lowerCAmelCase  						=       {}
            for i, value in enumerate(lowercase ):
                  lowerCAmelCase  						=       i
                  lowerCAmelCase  						=       i
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""vocab_file"""] )
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""word_shape_file"""] )
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""word_pronunciation_file"""] )
            with open(self.vocab_file      ,						"""w"""      ,						encoding="""utf-8""" ) as vocab_writer:
                  vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens] ) )
            with open(self.word_shape_file      ,						"""w"""      ,						encoding="""utf-8""" ) as word_shape_writer:
                  json.dump(lowercase      ,						lowercase      ,						ensure_ascii=lowercase )
            with open(self.word_pronunciation_file      ,						"""w"""      ,						encoding="""utf-8""" ) as word_pronunciation_writer:
                  json.dump(lowercase      ,						lowercase      ,						ensure_ascii=lowercase )





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.tokenizer_class(self.vocab_file      ,						self.word_shape_file      ,						self.word_pronunciation_file )

            lowerCAmelCase  						=       tokenizer.tokenize("""你好[SEP]你是谁""" )
            self.assertListEqual(lowercase      ,						["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""] )
            self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase )      ,						[5, 6, 2, 5, 7, 8] )
            self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowercase )      ,						[5, 6, 2, 5, 7, 8] )
            self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowercase )      ,						[5, 6, 2, 5, 7, 8] )





      def     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer()

            self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz""" )      ,						["""ah""", """\u535A""", """\u63A8""", """zz"""] )





      def     _snake_case			(       self )		->     Optional[Any]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ )      ,						["""hello""", """!""", """how""", """are""", """you""", """?"""] )
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )      ,						["""hello"""] )





      def     _snake_case			(       self )		->     Union[str, Any]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )      ,						["""hällo""", """!""", """how""", """are""", """you""", """?"""] )
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )      ,						["""h\u00E9llo"""] )





      def     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )      ,						["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )      ,						["""hello"""] )





      def     _snake_case			(       self )		->     Any:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )      ,						["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )      ,						["""hello"""] )





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ )      ,						["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )





      def     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )      ,						["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )





      def     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )      ,						["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						never_split=["""[UNK]"""] )

            self.assertListEqual(
                tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]""" )      ,						["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""] )





      def     _snake_case			(       self )		->     Optional[int]:
            lowerCAmelCase  						=       ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

            lowerCAmelCase  						=       {}
            for i, token in enumerate(lowercase ):
                  lowerCAmelCase  						=       i
            lowerCAmelCase  						=       RoCBertWordpieceTokenizer(vocab=lowercase      ,						unk_token="""[UNK]""" )

            self.assertListEqual(tokenizer.tokenize("""""" )      ,						[] )

            self.assertListEqual(tokenizer.tokenize("""unwanted running""" )      ,						["""un""", """##want""", """##ed""", """runn""", """##ing"""] )

            self.assertListEqual(tokenizer.tokenize("""unwantedX running""" )      ,						["""[UNK]""", """runn""", """##ing"""] )





      def     _snake_case			(       self )		->     int:
            self.assertTrue(_is_whitespace(""" """ ) )
            self.assertTrue(_is_whitespace("""\t""" ) )
            self.assertTrue(_is_whitespace("""\r""" ) )
            self.assertTrue(_is_whitespace("""\n""" ) )
            self.assertTrue(_is_whitespace("""\u00A0""" ) )

            self.assertFalse(_is_whitespace("""A""" ) )
            self.assertFalse(_is_whitespace("""-""" ) )





      def     _snake_case			(       self )		->     int:
            self.assertTrue(_is_control("""\u0005""" ) )

            self.assertFalse(_is_control("""A""" ) )
            self.assertFalse(_is_control(""" """ ) )
            self.assertFalse(_is_control("""\t""" ) )
            self.assertFalse(_is_control("""\r""" ) )





      def     _snake_case			(       self )		->     int:
            self.assertTrue(_is_punctuation("""-""" ) )
            self.assertTrue(_is_punctuation("""$""" ) )
            self.assertTrue(_is_punctuation("""`""" ) )
            self.assertTrue(_is_punctuation(""".""" ) )

            self.assertFalse(_is_punctuation("""A""" ) )
            self.assertFalse(_is_punctuation(""" """ ) )





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.get_tokenizer()

            # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
            self.assertListEqual([tokenizer.tokenize(lowercase ) for t in ["""Test""", """\xad""", """test"""]]      ,						[["""[UNK]"""], [], ["""[UNK]"""]] )

            if self.test_rust_tokenizer:
                  lowerCAmelCase  						=       self.get_rust_tokenizer()
                  self.assertListEqual(
                      [rust_tokenizer.tokenize(lowercase ) for t in ["""Test""", """\xad""", """test"""]]      ,						[["""[UNK]"""], [], ["""[UNK]"""]] )





      def     _snake_case			(       self )		->     Union[str, Any]:
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})' ):
                        lowerCAmelCase  						=       self.rust_tokenizer_class.from_pretrained(lowercase      ,						**lowercase )

                        lowerCAmelCase  						=       f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
                        lowerCAmelCase  						=       tokenizer_r.encode_plus(
                            lowercase      ,						return_attention_mask=lowercase      ,						return_token_type_ids=lowercase      ,						return_offsets_mapping=lowercase      ,						add_special_tokens=lowercase      ,						)

                        lowerCAmelCase  						=       tokenizer_r.do_lower_case if hasattr(lowercase      ,						"""do_lower_case""" ) else False
                        lowerCAmelCase  						=       (
                            [
                                ((0, 0), tokenizer_r.cls_token),
                                ((0, 1), """A"""),
                                ((1, 2), ""","""),
                                ((3, 5), """na"""),
                                ((5, 6), """##ï"""),
                                ((6, 8), """##ve"""),
                                ((9, 15), tokenizer_r.mask_token),
                                ((16, 21), """Allen"""),
                                ((21, 23), """##NL"""),
                                ((23, 24), """##P"""),
                                ((25, 33), """sentence"""),
                                ((33, 34), """."""),
                                ((0, 0), tokenizer_r.sep_token),
                            ]
                            if not do_lower_case
                            else [
                                ((0, 0), tokenizer_r.cls_token),
                                ((0, 1), """a"""),
                                ((1, 2), ""","""),
                                ((3, 8), """naive"""),
                                ((9, 15), tokenizer_r.mask_token),
                                ((16, 21), """allen"""),
                                ((21, 23), """##nl"""),
                                ((23, 24), """##p"""),
                                ((25, 33), """sentence"""),
                                ((33, 34), """."""),
                                ((0, 0), tokenizer_r.sep_token),
                            ]
                        )

                        self.assertEqual(
                            [e[1] for e in expected_results]      ,						tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""] ) )
                        self.assertEqual([e[0] for e in expected_results]      ,						tokens["""offset_mapping"""] )





      def     _snake_case			(       self )		->     List[Any]:
            lowerCAmelCase  						=       ["""的""", """人""", """有"""]
            lowerCAmelCase  						=       """""".join(lowercase )
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})' ):
                        lowerCAmelCase  						=       True
                        lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(lowercase      ,						**lowercase )
                        lowerCAmelCase  						=       self.rust_tokenizer_class.from_pretrained(lowercase      ,						**lowercase )

                        lowerCAmelCase  						=       tokenizer_p.encode(lowercase      ,						add_special_tokens=lowercase )
                        lowerCAmelCase  						=       tokenizer_r.encode(lowercase      ,						add_special_tokens=lowercase )

                        lowerCAmelCase  						=       tokenizer_r.convert_ids_to_tokens(lowercase )
                        lowerCAmelCase  						=       tokenizer_p.convert_ids_to_tokens(lowercase )

                        # it is expected that each Chinese character is not preceded by "##"
                        self.assertListEqual(lowercase      ,						lowercase )
                        self.assertListEqual(lowercase      ,						lowercase )

                        lowerCAmelCase  						=       False
                        lowerCAmelCase  						=       self.rust_tokenizer_class.from_pretrained(lowercase      ,						**lowercase )
                        lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(lowercase      ,						**lowercase )

                        lowerCAmelCase  						=       tokenizer_r.encode(lowercase      ,						add_special_tokens=lowercase )
                        lowerCAmelCase  						=       tokenizer_p.encode(lowercase      ,						add_special_tokens=lowercase )

                        lowerCAmelCase  						=       tokenizer_r.convert_ids_to_tokens(lowercase )
                        lowerCAmelCase  						=       tokenizer_p.convert_ids_to_tokens(lowercase )

                        # it is expected that only the first Chinese character is not preceded by "##".
                        lowerCAmelCase  						=       [
                            f'##{token}' if idx != 0 else token for idx, token in enumerate(lowercase )
                        ]
                        self.assertListEqual(lowercase      ,						lowercase )
                        self.assertListEqual(lowercase      ,						lowercase )





      @slow
      def     _snake_case			(       self )		->     Optional[Any]:
            lowerCAmelCase  						=       self.tokenizer_class(self.vocab_file      ,						self.word_shape_file      ,						self.word_pronunciation_file )

            lowerCAmelCase  						=       tokenizer.encode("""你好"""      ,						add_special_tokens=lowercase )
            lowerCAmelCase  						=       tokenizer.encode("""你是谁"""      ,						add_special_tokens=lowercase )

            lowerCAmelCase  						=       tokenizer.build_inputs_with_special_tokens(lowercase )
            lowerCAmelCase  						=       tokenizer.build_inputs_with_special_tokens(lowercase      ,						lowercase )

            assert encoded_sentence == [1] + text + [2]
            assert encoded_pair == [1] + text + [2] + text_a + [2]





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.get_tokenizers(do_lower_case=lowercase )
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}' ):
                        lowerCAmelCase  						=       """你好，你是谁"""
                        lowerCAmelCase  						=       tokenizer.tokenize(lowercase )
                        lowerCAmelCase  						=       tokenizer.convert_tokens_to_ids(lowercase )
                        lowerCAmelCase  						=       tokenizer.convert_tokens_to_shape_ids(lowercase )
                        lowerCAmelCase  						=       tokenizer.convert_tokens_to_pronunciation_ids(lowercase )
                        lowerCAmelCase  						=       tokenizer.prepare_for_model(
                            lowercase      ,						lowercase      ,						lowercase      ,						add_special_tokens=lowercase )

                        lowerCAmelCase  						=       tokenizer.encode_plus(lowercase      ,						add_special_tokens=lowercase )

                        self.assertEqual(lowercase      ,						lowercase )









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


snake_case_			  = logging.get_logger(__name__)

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Tuple	,     SCREAMING_SNAKE_CASE_		:    Union[str, Any]			):



     '''simple docstring'''





     lowercase__    :   List[str]      =       set()
     lowercase__    :   List[str]      =       []

     def parse_line(SCREAMING_SNAKE_CASE_		:    Union[str, Any]			):
          for line in fp:
               if isinstance(SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			):
                    lowercase__    :   Optional[int]      =       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(SCREAMING_SNAKE_CASE_			) > 0:
                         lowercase__    :   Optional[Any]      =       '\n'.join(SCREAMING_SNAKE_CASE_			)
                         # Only keep the warnings specified in `targets`
                         if any(f""": {x}: """ in warning for x in targets			):
                              selected_warnings.add(SCREAMING_SNAKE_CASE_			)
                         buffer.clear()
                    continue
               else:
                    lowercase__    :   Optional[Any]      =       line.strip()
                    buffer.append(SCREAMING_SNAKE_CASE_			)

     if from_gh:
          for filename in os.listdir(SCREAMING_SNAKE_CASE_			):
               lowercase__    :   int      =       os.path.join(SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			)
               if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
                    # read the file
                    if filename != "warnings.txt":
                         continue
                    with open(SCREAMING_SNAKE_CASE_			) as fp:
                         parse_line(SCREAMING_SNAKE_CASE_			)
     else:
          try:
               with zipfile.ZipFile(SCREAMING_SNAKE_CASE_			) as z:
                    for filename in z.namelist():
                         if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
                              # read the file
                              if filename != "warnings.txt":
                                   continue
                              with z.open(SCREAMING_SNAKE_CASE_			) as fp:
                                   parse_line(SCREAMING_SNAKE_CASE_			)
          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 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    List[Any]	,     SCREAMING_SNAKE_CASE_		:    Optional[Any]			):



     '''simple docstring'''





     lowercase__    :   Optional[Any]      =       set()

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

     return selected_warnings


if __name__ == "__main__":

       def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Any			):



            '''simple docstring'''





            return values.split(','			)

       snake_case_			  = 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.''',
       )

       snake_case_			  = parser.parse_args()

       snake_case_			  = 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
              snake_case_			  = 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('''=''' * 80)
                     download_artifact(name, url, args.output_dir, args.token)
                     # Be gentle to GitHub
                     time.sleep(1)

    # extract warnings from artifacts
       snake_case_			  = extract_warnings(args.output_dir, args.targets)
       snake_case_			  = 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)

