
"""simple docstring"""




import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


A__   :					Union[str, Any]							=   get_tests_dir('fixtures/spiece.model')


@require_sentencepiece
@require_tokenizers
class 			__magic_name__       (       SCREAMING_SNAKE_CASE__   ,					unittest.TestCase ):
       UpperCamelCase_   =		DebertaVaTokenizer
       UpperCamelCase_   =		DebertaVaTokenizerFast
       UpperCamelCase_   =		True
       UpperCamelCase_   =		True
       def 							lowercase_							(     self       )     ->	List[str]:





         """simple docstring"""




         super().setUp()

         # We have a SentencePiece fixture for testing
         _lowercase:			int       =     DebertaVaTokenizer(A_ ,				unk_token='''<unk>'''       )
         tokenizer.save_pretrained(self.tmpdirname       )
       def 							lowercase_							(     self ,				A_       )     ->	int:





         """simple docstring"""




         _lowercase:			str       =     '''this is a test'''
         _lowercase:			str       =     '''this is a test'''
         return input_text, output_text
       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         _lowercase:			Optional[Any]       =     '''<pad>'''
         _lowercase:			Tuple       =     0

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_       ) ,				A_       )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_       ) ,				A_       )
       def 							lowercase_							(     self       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			List[str]       =     list(self.get_tokenizer().get_vocab().keys()       )
         self.assertEqual(vocab_keys[0] ,				'''<pad>'''       )
         self.assertEqual(vocab_keys[1] ,				'''<unk>'''       )
         self.assertEqual(vocab_keys[-1] ,				'''[PAD]'''       )
         self.assertEqual(len(A_       ) ,				3_0001       )
       def 							lowercase_							(     self       )     ->	Union[str, Any]:





         """simple docstring"""




         self.assertEqual(self.get_tokenizer().vocab_size ,				3_0000       )
       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         _lowercase:			Union[str, Any]       =     ''' \tHeLLo!how  \n Are yoU?  '''
         _lowercase:			Dict       =     ['''▁hello''', '''!''', '''how''', '''▁are''', '''▁you''', '''?''']
         # fmt: on

         _lowercase:			Any       =     DebertaVaTokenizer(A_ ,				do_lower_case=A_       )
         _lowercase:			Dict       =     tokenizer.convert_ids_to_tokens(tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Dict       =     DebertaVaTokenizerFast(A_ ,				do_lower_case=A_       )
         _lowercase:			str       =     rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )
       @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''       )
       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         pass
       @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''       )
       def 							lowercase_							(     self       )     ->	Tuple:





         """simple docstring"""




         pass
       def 							lowercase_							(     self       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			List[Any]       =     '''I was born in 92000, and this is falsé.'''
         _lowercase:			Optional[int]       =     ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         _lowercase:			List[str]       =     DebertaVaTokenizer(A_ ,				split_by_punct=A_       )
         _lowercase:			Union[str, Any]       =     tokenizer.convert_ids_to_tokens(tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Optional[Any]       =     DebertaVaTokenizerFast(A_ ,				split_by_punct=A_       )
         _lowercase:			int       =     rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )
       def 							lowercase_							(     self       )     ->	Optional[int]:





         """simple docstring"""




         _lowercase:			Tuple       =     '''I was born in 92000, and this is falsé.'''
         _lowercase:			Union[str, Any]       =     ['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         _lowercase:			Optional[int]       =     DebertaVaTokenizer(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			Dict       =     tokenizer.convert_ids_to_tokens(tokenizer.encode(A_ ,				add_special_tokens=A_       )       )
         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Union[str, Any]       =     DebertaVaTokenizerFast(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			Optional[Any]       =     rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )       )
         self.assertListEqual(A_ ,				A_       )
       def 							lowercase_							(     self       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			Optional[Any]       =     '''I was born in 92000, and this is falsé.'''
         _lowercase:			Union[str, Any]       =     ['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
         # fmt: on

         _lowercase:			int       =     DebertaVaTokenizer(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			str       =     tokenizer.convert_ids_to_tokens(tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Union[str, Any]       =     DebertaVaTokenizerFast(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			List[str]       =     rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )
       def 							lowercase_							(     self       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			List[str]       =     '''I was born in 92000, and this is falsé.'''
         _lowercase:			int       =     ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         _lowercase:			List[str]       =     DebertaVaTokenizer(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			Optional[int]       =     tokenizer.convert_ids_to_tokens(tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )

         _lowercase:			List[str]       =     DebertaVaTokenizerFast(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			str       =     rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )
       def 							lowercase_							(     self       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			Any       =     ''' \tHeLLo!how  \n Are yoU?  '''
         _lowercase:			Dict       =     ['''▁''', '''<unk>''', '''e''', '''<unk>''', '''o''', '''!''', '''how''', '''▁''', '''<unk>''', '''re''', '''▁yo''', '''<unk>''', '''?''']
         # fmt: on

         _lowercase:			Union[str, Any]       =     DebertaVaTokenizer(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			Union[str, Any]       =     tokenizer.convert_ids_to_tokens(tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )

         _lowercase:			List[Any]       =     DebertaVaTokenizerFast(A_ ,				do_lower_case=A_ ,				split_by_punct=A_       )
         _lowercase:			Dict       =     rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )       )

         self.assertListEqual(A_ ,				A_       )
       def 							lowercase_							(     self       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			str       =     self.get_tokenizer()
         _lowercase:			Tuple       =     self.get_rust_tokenizer()

         _lowercase:			Union[str, Any]       =     '''I was born in 92000, and this is falsé.'''

         _lowercase:			Any       =     tokenizer.convert_ids_to_tokens(tokenizer.encode(A_ ,				add_special_tokens=A_       )       )
         _lowercase:			Union[str, Any]       =     rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )       )
         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Any       =     tokenizer.encode(A_ ,				add_special_tokens=A_       )
         _lowercase:			Dict       =     rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )
         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Dict       =     self.get_rust_tokenizer()
         _lowercase:			List[Any]       =     tokenizer.encode(A_       )
         _lowercase:			str       =     rust_tokenizer.encode(A_       )
         self.assertListEqual(A_ ,				A_       )
       def 							lowercase_							(     self       )     ->	str:





         """simple docstring"""




         _lowercase:			Tuple       =     '''This is a test'''
         _lowercase:			List[str]       =     [13, 1, 4398, 25, 21, 1289]
         _lowercase:			Any       =     ['''▁''', '''T''', '''his''', '''▁is''', '''▁a''', '''▁test''']
         _lowercase:			str       =     ['''▁''', '''<unk>''', '''his''', '''▁is''', '''▁a''', '''▁test''']

         _lowercase:			Tuple       =     DebertaVaTokenizer(A_ ,				keep_accents=A_       )
         _lowercase:			Dict       =     DebertaVaTokenizerFast(A_ ,				keep_accents=A_       )

         _lowercase:			str       =     tokenizer.encode(A_ ,				add_special_tokens=A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			Any       =     tokenizer.tokenize(A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			Optional[int]       =     tokenizer.convert_ids_to_tokens(A_       )
         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Optional[int]       =     rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			Union[str, Any]       =     rust_tokenizer.tokenize(A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			Any       =     rust_tokenizer.convert_ids_to_tokens(A_       )
         self.assertListEqual(A_ ,				A_       )

         # fmt: off
         _lowercase:			str       =     '''I was born in 92000, and this is falsé.'''
         _lowercase:			Dict       =     [13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
         _lowercase:			str       =     ['''▁''', '''I''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''é''', '''.''', ]
         _lowercase:			Any       =     ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
         # fmt: on

         _lowercase:			Optional[int]       =     tokenizer.encode(A_ ,				add_special_tokens=A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			List[str]       =     tokenizer.tokenize(A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			Optional[int]       =     tokenizer.convert_ids_to_tokens(A_       )
         self.assertListEqual(A_ ,				A_       )

         _lowercase:			Optional[int]       =     rust_tokenizer.encode(A_ ,				add_special_tokens=A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			str       =     rust_tokenizer.tokenize(A_       )
         self.assertListEqual(A_ ,				A_       )
         _lowercase:			Optional[int]       =     rust_tokenizer.convert_ids_to_tokens(A_       )
         self.assertListEqual(A_ ,				A_       )
       def 							lowercase_							(     self       )     ->	Optional[int]:





         """simple docstring"""




         _lowercase:			Optional[int]       =     DebertaVaTokenizer(A_       )

         _lowercase:			Optional[int]       =     tokenizer.encode('''sequence builders'''       )
         _lowercase:			Any       =     tokenizer.encode('''multi-sequence build'''       )

         _lowercase:			Optional[int]       =     tokenizer.build_inputs_with_special_tokens(A_       )
         _lowercase:			Dict       =     tokenizer.build_inputs_with_special_tokens(A_ ,				A_       )

         self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] ,				A_       )
         self.assertEqual(
             [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id] ,				A_ ,				)



       @slow
       def 							lowercase_							(     self       )     ->	str:





         """simple docstring"""




         _lowercase:			List[str]       =     {'''input_ids''': [[1, 3_9867, 36, 1_9390, 486, 27, 3_5052, 8_1436, 18, 6_0685, 1225, 7, 3_5052, 8_1436, 18, 9367, 1_6899, 18, 1_5937, 53, 594, 773, 18, 1_6287, 3_0465, 36, 1_5937, 6, 4_1139, 38, 3_6979, 6_0763, 191, 6, 3_4132, 99, 6, 5_0538, 390, 4_3230, 6, 3_4132, 2779, 2_0850, 14, 699, 1072, 1194, 36, 382, 1_0901, 53, 7, 699, 1072, 2084, 36, 2_0422, 630, 53, 19, 105, 3049, 1896, 1053, 1_6899, 1506, 11, 3_7978, 4243, 7, 1237, 3_1869, 200, 1_6566, 654, 6, 3_5052, 8_1436, 7, 5_5630, 1_3593, 4, 2], [1, 26, 1_5011, 13, 667, 8, 1053, 18, 2_3611, 1237, 7_2356, 1_2820, 34, 10_4134, 1209, 35, 1_3313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1232, 2864, 1_5785, 1_4951, 105, 5, 8581, 1250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''token_type_ids''': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=A_ ,				model_name='''microsoft/deberta-v2-xlarge''' ,				revision='''ad6e42c1532ddf3a15c39246b63f5559d558b670''' ,				)


"""simple docstring"""




import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


A__   :					Optional[Any]							=   '<<<<<<< This should probably be modified because it mentions: '

A__   :					Any							=   '=======\n>>>>>>>\n'

A__   :					int							=   [
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

A__   :					Union[str, Any]							=   [
    # (pattern, replacement)
    # Order is important here for some replacements
    (r'tfds\.core', r'datasets'),
    (r'tf\.io\.gfile\.GFile', r'open'),
    (r'tf\.([\w\d]+)', r'datasets.Value(\'\1\')'),
    (r'tfds\.features\.Text\(\)', r'datasets.Value(\'string\')'),
    (r'tfds\.features\.Text\(', r'datasets.Value(\'string\'),'),
    (r'features\s*=\s*tfds.features.FeaturesDict\(', r'features=datasets.Features('),
    (r'tfds\.features\.FeaturesDict\(', r'dict('),
    (r'The TensorFlow Datasets Authors', r'The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'),
    (r'tfds\.', r'datasets.'),
    (r'dl_manager\.manual_dir', r'self.config.data_dir'),
    (r'self\.builder_config', r'self.config'),
]




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  return ConvertCommand(args.tfds_path ,				args.datasets_directory						)







class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       @staticmethod
       def 							lowercase_							(     A_       )     ->	Union[str, Any]:





         """simple docstring"""




         _lowercase:			int       =     parser.add_parser(
             '''convert''' ,				help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.''' ,				)
         train_parser.add_argument(
             '''--tfds_path''' ,				type=A_ ,				required=A_ ,				help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.''' ,				)
         train_parser.add_argument(
             '''--datasets_directory''' ,				type=A_ ,				required=A_ ,				help='''Path to the HuggingFace Datasets folder.'''       )
         train_parser.set_defaults(func=A_       )
       def __init__(     self ,				A_ ,				A_ ,				*A_       )     ->	Tuple:





         """simple docstring"""




         _lowercase:			Optional[Any]       =     get_logger('''datasets-cli/converting'''       )

         _lowercase:			Optional[Any]       =     tfds_path
         _lowercase:			Dict       =     datasets_directory



       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         if os.path.isdir(self._tfds_path       ):
           _lowercase:			Optional[Any]       =     os.path.abspath(self._tfds_path       )
         elif os.path.isfile(self._tfds_path       ):
           _lowercase:			Any       =     os.path.dirname(self._tfds_path       )
         else:
           raise ValueError('''--tfds_path is neither a directory nor a file. Please check path.'''       )

         _lowercase:			Dict       =     os.path.abspath(self._datasets_directory       )

         self._logger.info(f'''Converting datasets from {abs_tfds_path} to {abs_datasets_path}'''       )

         _lowercase:			Tuple       =     []
         _lowercase:			List[str]       =     []
         _lowercase:			int       =     {}

         if os.path.isdir(self._tfds_path       ):
           _lowercase:			str       =     os.listdir(A_       )
         else:
           _lowercase:			Tuple       =     [os.path.basename(self._tfds_path       )]

         for f_name in file_names:
           self._logger.info(f'''Looking at file {f_name}'''       )
           _lowercase:			Optional[int]       =     os.path.join(A_ ,				A_       )
           _lowercase:			Optional[Any]       =     os.path.join(A_ ,				A_       )

           if not os.path.isfile(A_       ) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
             self._logger.info('''Skipping file'''       )
             continue

           with open(A_ ,				encoding='''utf-8'''       ) as f:
             _lowercase:			Any       =     f.readlines()

           _lowercase:			str       =     []
           _lowercase:			Dict       =     False
           _lowercase:			Any       =     False
           _lowercase:			Tuple       =     []
           for line in lines:
             _lowercase:			str       =     line

             # Convert imports
             if "import tensorflow.compat.v2 as tf" in out_line:
               continue
             elif "@tfds.core" in out_line:
               continue
             elif "builder=self" in out_line:
               continue
             elif "import tensorflow_datasets.public_api as tfds" in out_line:
               _lowercase:			Optional[Any]       =     '''import datasets\n'''
             elif "import tensorflow" in out_line:
               # order is important here
               _lowercase:			Any       =     ''''''
               continue
             elif "from absl import logging" in out_line:
               _lowercase:			Dict       =     '''from datasets import logging\n'''
             elif "getLogger" in out_line:
               _lowercase:			Optional[Any]       =     out_line.replace('''getLogger''' ,				'''get_logger'''       )
             elif any(expression in out_line for expression in TO_HIGHLIGHT       ):
               _lowercase:			int       =     True
               _lowercase:			List[str]       =     list(filter(lambda A_       : e in out_line ,				A_       )       )
               out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(A_       ) + '''\n'''       )
               out_lines.append(A_       )
               out_lines.append(A_       )
               continue
             else:
               for pattern, replacement in TO_CONVERT:
                 _lowercase:			Tuple       =     re.sub(A_ ,				A_ ,				A_       )

                # Take care of saving utilities (to later move them together with main script)
             if "tensorflow_datasets" in out_line:
               _lowercase:			Optional[int]       =     re.match(R'''from\stensorflow_datasets.*import\s([^\.\r\n]+)''' ,				A_       )
               tfds_imports.extend(imp.strip() for imp in match.group(1       ).split(''','''       )       )
               _lowercase:			Dict       =     '''from . import ''' + match.group(1       )

             # Check we have not forget anything
             if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
               raise ValueError(f'''Error converting {out_line.strip()}'''       )

             if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
               _lowercase:			Tuple       =     True
             out_lines.append(A_       )

           if is_builder or "wmt" in f_name:
             # We create a new directory for each dataset
             _lowercase:			List[str]       =     f_name.replace('''.py''' ,				''''''       )
             _lowercase:			Dict       =     os.path.join(A_ ,				A_       )
             _lowercase:			Dict       =     os.path.join(A_ ,				A_       )
             os.makedirs(A_ ,				exist_ok=A_       )
             self._logger.info(f'''Adding directory {output_dir}'''       )
             imports_to_builder_map.update({imp: output_dir for imp in tfds_imports}       )
           else:
             # Utilities will be moved at the end
             utils_files.append(A_       )

           if needs_manual_update:
             with_manual_update.append(A_       )

           with open(A_ ,				'''w''' ,				encoding='''utf-8'''       ) as f:
             f.writelines(A_       )
           self._logger.info(f'''Converted in {output_file}'''       )

         for utils_file in utils_files:
           try:
             _lowercase:			Optional[int]       =     os.path.basename(A_       )
             _lowercase:			List[Any]       =     imports_to_builder_map[f_name.replace('''.py''' ,				''''''       )]
             self._logger.info(f'''Moving {dest_folder} to {utils_file}'''       )
             shutil.copy(A_ ,				A_       )
           except KeyError:
             self._logger.error(f'''Cannot find destination folder for {utils_file}. Please copy manually.'''       )

         if with_manual_update:
           for file_path in with_manual_update:
             self._logger.warning(
                 f'''You need to manually update file {file_path} to remove configurations using \'TextEncoderConfig\'.'''       )
