
"""simple docstring"""


from typing import TYPE_CHECKING

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


_lowercase				 =					{
    '''configuration_lxmert''': ['''LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LxmertConfig'''],
    '''tokenization_lxmert''': ['''LxmertTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase				 =					['''LxmertTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase				 =					[
		    '''LxmertEncoder''',
		    '''LxmertForPreTraining''',
		    '''LxmertForQuestionAnswering''',
		    '''LxmertModel''',
		    '''LxmertPreTrainedModel''',
		    '''LxmertVisualFeatureEncoder''',
		    '''LxmertXLayer''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase				 =					[
		    '''TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''TFLxmertForPreTraining''',
		    '''TFLxmertMainLayer''',
		    '''TFLxmertModel''',
		    '''TFLxmertPreTrainedModel''',
		    '''TFLxmertVisualFeatureEncoder''',
		]


if TYPE_CHECKING:
		from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
		from .tokenization_lxmert import LxmertTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_lxmert_fast import LxmertTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_lxmert import (
				    LxmertEncoder,
				    LxmertForPreTraining,
				    LxmertForQuestionAnswering,
				    LxmertModel,
				    LxmertPreTrainedModel,
				    LxmertVisualFeatureEncoder,
				    LxmertXLayer,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_lxmert import (
				    TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFLxmertForPreTraining,
				    TFLxmertMainLayer,
				    TFLxmertModel,
				    TFLxmertPreTrainedModel,
				    TFLxmertVisualFeatureEncoder,
				)

else:
		import sys

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

"""simple docstring"""


from maths.prime_check import is_prime






def    _snake_case					(		snake_case__ :  int  ):
	if not isinstance(snake_case__						,   snake_case__  ):
		A     = F'Input value of [number={number}] must be an integer'
		raise TypeError(snake_case__  )
	if is_prime(snake_case__  ) and is_prime(number + 2  ):
		return number + 2
	else:
		return -1


if __name__ == "__main__":
		import doctest

		doctest.testmod()