"""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,
)


__magic_name__					:				int	= {
    """configuration_marian""": ["""MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarianConfig""", """MarianOnnxConfig"""],
}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__					:				Dict	= ["""MarianTokenizer"""]

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

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__					:				Optional[int]	= ["""TFMarianModel""", """TFMarianMTModel""", """TFMarianPreTrainedModel"""]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__					:				List[str]	= ["""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

		__magic_name__					:				str	= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""


def     UpperCamelCase       (SCREAMING_SNAKE_CASE = 1000    ):
						UpperCamelCase							:		List[str]							      = []
						UpperCamelCase							:		int							      = []
						UpperCamelCase							:		Dict							      = 3
						UpperCamelCase							:		Dict							      = 5
						UpperCamelCase							:		Optional[int]							      = 1
						while True:
												UpperCamelCase							:		int							      = z * temp
												if result < n:
																		zmulti.append(SCREAMING_SNAKE_CASE    )
																		temp += 1
												else:
																		UpperCamelCase							:		Optional[int]							      = 1
																		break
						while True:
												UpperCamelCase							:		Any							      = x * temp
												if result < n:
																		xmulti.append(SCREAMING_SNAKE_CASE    )
																		temp += 1
												else:
																		break
						UpperCamelCase							:		List[Any]							      = list(set(xmulti + zmulti    )    )
						return sum(SCREAMING_SNAKE_CASE    )


if __name__ == "__main__":
		print(f'''{solution() = }''')



