

"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__A												=	{
    'configuration_marian': ['MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MarianConfig', 'MarianOnnxConfig'],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A												=	['MarianTokenizer']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A												=	[
	    'MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MarianForCausalLM',
	    'MarianModel',
	    'MarianMTModel',
	    'MarianPreTrainedModel',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A												=	['TFMarianModel', 'TFMarianMTModel', 'TFMarianPreTrainedModel']

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A												=	['FlaxMarianModel', 'FlaxMarianMTModel', 'FlaxMarianPreTrainedModel']

if TYPE_CHECKING:
	from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_marian import MarianTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_marian import (
		    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MarianForCausalLM,
		    MarianModel,
		    MarianMTModel,
		    MarianPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
	import sys

	__A												=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)








"""simple docstring"""




def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""
					if not isinstance(lowercase__    ,							lowercase__   ):
										A    =      (
										    "operation can not be conducted on a object of type "
										    F"""{type(lowercase__   ).__name__}"""
										)
										raise TypeError(lowercase__   )
					A    =      ""
					for _ in range(0    ,							32   ):
										bit_string += str(number % 2   )
										A    =      number >> 1
					return bit_string
def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""
					if number < 0:
										raise ValueError("the value of input must be positive"   )
					elif isinstance(lowercase__    ,							lowercase__   ):
										raise TypeError("Input value must be a 'int' type"   )
					elif isinstance(lowercase__    ,							lowercase__   ):
										raise TypeError("'<' not supported between instances of 'str' and 'int'"   )
					A    =      0
					# iterator over [1 to 32],since we are dealing with 32 bit integer
					for _ in range(1    ,							33   ):
										# left shift the bits by unity
										A    =      result << 1
										# get the end bit
										A    =      number % 2
										# right shift the bits by unity
										A    =      number >> 1
										# add that bit to our ans
										A    =      result | end_bit
					return get_reverse_bit_string(lowercase__   )


if __name__ == "__main__":
	import doctest

	doctest.testmod()





