






'''simple docstring'''





import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


__lowerCamelCase						:    str     				=  get_logger(__name__)



class   lowerCAmelCase__ ( enum.Enum  ):
			A     				= "all_checks"
			A     				= "basic_checks"
			A     				= "no_checks"






class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






def        __snake_case						(__UpperCAmelCase       ,	__UpperCAmelCase       ,	__UpperCAmelCase=None    ):





	"""simple docstring"""


	if expected_checksums is None:
		logger.info('''Unable to verify checksums.'''    )
		return
	if len(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    ) > 0:
		raise ExpectedMoreDownloadedFiles(str(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    )    )
	if len(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    ) > 0:
		raise UnexpectedDownloadedFile(str(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    )    )
	lowerCamelCase_					:  Any						=    [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
	lowerCamelCase_					:  Union[str, Any]						=    ''' for ''' + verification_name if verification_name is not None else ''''''
	if len(SCREAMING_SNAKE_CASE__    ) > 0:
		raise NonMatchingChecksumError(
		    F"""Checksums didn\'t match{for_verification_name}:\n"""
		    F"""{bad_urls}\n"""
		    '''Set `verification_mode=\'no_checks\'` to skip checksums verification and ignore this error'''    )
	logger.info('''All the checksums matched successfully''' + for_verification_name    )



class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






class   lowerCAmelCase__ ( __SCREAMING_SNAKE_CASE  ):
			pass






def        __snake_case						(__UpperCAmelCase       ,	__UpperCAmelCase    ):





	"""simple docstring"""


	if expected_splits is None:
		logger.info('''Unable to verify splits sizes.'''    )
		return
	if len(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    ) > 0:
		raise ExpectedMoreSplits(str(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    )    )
	if len(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    ) > 0:
		raise UnexpectedSplits(str(set(SCREAMING_SNAKE_CASE__    ) - set(SCREAMING_SNAKE_CASE__    )    )    )
	lowerCamelCase_					:  Dict						=    [
	    {'''expected''': expected_splits[name], '''recorded''': recorded_splits[name]}
	    for name in expected_splits
	    if expected_splits[name].num_examples != recorded_splits[name].num_examples
	]
	if len(SCREAMING_SNAKE_CASE__    ) > 0:
		raise NonMatchingSplitsSizesError(str(SCREAMING_SNAKE_CASE__    )    )
	logger.info('''All the splits matched successfully.'''    )



def        __snake_case						(__UpperCAmelCase       ,	__UpperCAmelCase = True    ):





	"""simple docstring"""


	if record_checksum:
		lowerCamelCase_					:  Any						=    shaaaa()
		with open(SCREAMING_SNAKE_CASE__       ,	'''rb'''    ) as f:
			for chunk in iter(lambda: f.read(1 << 20    )       ,	b''''''    ):
				m.update(SCREAMING_SNAKE_CASE__    )
			lowerCamelCase_					:  Any						=    m.hexdigest()
	else:
		lowerCamelCase_					:  Tuple						=    None
	return {"num_bytes": os.path.getsize(SCREAMING_SNAKE_CASE__    ), "checksum": checksum}




def        __snake_case						(__UpperCAmelCase    ):





	"""simple docstring"""


	if dataset_size and config.IN_MEMORY_MAX_SIZE:
		return dataset_size < config.IN_MEMORY_MAX_SIZE
	else:
		return False








'''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__)


