"""simple docstring"""




import re
from pathlib import Path
from unittest import TestCase

import pytest
@pytest.mark.integration
class 		__A							(				UpperCamelCase__	):






					def 					__A						(	self       ,  a__						):



							with open(__A       ,  encoding="""utf-8"""						) as input_file:
									_lowerCAmelCase		: Optional[int]						    =  re.compile(r"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"""						)
									_lowerCAmelCase		: List[Any]						    =  input_file.read()
									_lowerCAmelCase		: Tuple						    =  regexp.search(__A						)

							return match






					def 					__A						(	self       ,  a__						):



							with open(__A       ,  encoding="""utf-8"""						) as input_file:
									_lowerCAmelCase		: Union[str, Any]						    =  re.compile(r"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""       ,  re.DOTALL						)
									_lowerCAmelCase		: Tuple						    =  input_file.read()
									# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
									_lowerCAmelCase		: Optional[Any]						    =  regexp.finditer(__A						)

							_lowerCAmelCase		: Any						    =  [match for match in matches if match is not None and match.group(1						) is not None]
							return matches[0] if matches else None






					def 					__A						(	self						):
							_lowerCAmelCase		: Optional[int]						    =  Path("""./datasets"""						)
							_lowerCAmelCase		: int						    =  list(dataset_paths.absolute().glob("""**/*.py"""						)						)

							for dataset in dataset_files:
									if self._no_encoding_on_file_open(str(__A						)						):
											raise AssertionError(F"open(...) must use utf-8 encoding in {dataset}"						)






					def 					__A						(	self						):
							_lowerCAmelCase		: Optional[Any]						    =  Path("""./datasets"""						)
							_lowerCAmelCase		: Any						    =  list(dataset_paths.absolute().glob("""**/*.py"""						)						)

							for dataset in dataset_files:
									if self._no_print_statements(str(__A						)						):
											raise AssertionError(F"print statement found in {dataset}. Use datasets.logger/logging instead."						)





"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


_a   :	Union[str, Any] 					=     {}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _a   :	Tuple 					=     ['GPTSw3Tokenizer']


if TYPE_CHECKING:
     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_gpt_swa import GPTSwaTokenizer

else:
     import sys

     _a   :	Optional[int] 					=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




