






'''simple docstring'''





import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):

			def 						__UpperCamelCase				(					self					:		str     ,		UpperCamelCase_					:		str	) ->  Optional[Any]:







				"""simple docstring"""






				with open(UpperCamelCase__     ,		encoding='''utf-8'''	) as input_file:
					lowerCamelCase_					:  Any						=    re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''	)
					lowerCamelCase_					:  Union[str, Any]						=    input_file.read()
					lowerCamelCase_					:  int						=    regexp.search(UpperCamelCase__	)

				return match

			def 						__UpperCamelCase				(					self					:		Optional[Any]     ,		UpperCamelCase_					:		str	) ->  Dict:







				"""simple docstring"""






				with open(UpperCamelCase__     ,		encoding='''utf-8'''	) as input_file:
					lowerCamelCase_					:  Optional[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_					:  Tuple						=    regexp.finditer(UpperCamelCase__	)

				lowerCamelCase_					:  str						=    [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 						__UpperCamelCase				(					self					:		str	) ->  Optional[Any]:







				"""simple docstring"""






				lowerCamelCase_					:  Tuple						=    Path('''./datasets'''	)
				lowerCamelCase_					:  Any						=    list(dataset_paths.absolute().glob('''**/*.py'''	)	)

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





			def 						__UpperCamelCase				(					self					:		Optional[Any]	) ->  List[str]:







				"""simple docstring"""






				lowerCamelCase_					:  Union[str, Any]						=    Path('''./datasets'''	)
				lowerCamelCase_					:  List[str]						=    list(dataset_paths.absolute().glob('''**/*.py'''	)	)

				for dataset in dataset_files:
					if self._no_print_statements(str(UpperCamelCase__	)	):
						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_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase__						       =      {"configuration_encoder_decoder": ["EncoderDecoderConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["EncoderDecoderModel"]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["TFEncoderDecoderModel"]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["FlaxEncoderDecoderModel"]

if TYPE_CHECKING:
						from .configuration_encoder_decoder import EncoderDecoderConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_encoder_decoder import EncoderDecoderModel

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
						import sys

						lowercase__						       =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


