




# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase	:       Tuple     =	{
    'configuration_xmod': [
        'XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XmodConfig',
        'XmodOnnxConfig',
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase	:       Dict     =	[
		    'XMOD_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'XmodForCausalLM',
		    'XmodForMaskedLM',
		    'XmodForMultipleChoice',
		    'XmodForQuestionAnswering',
		    'XmodForSequenceClassification',
		    'XmodForTokenClassification',
		    'XmodModel',
		    'XmodPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_xmod import (
				    XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
				    XmodForCausalLM,
				    XmodForMaskedLM,
				    XmodForMultipleChoice,
				    XmodForQuestionAnswering,
				    XmodForSequenceClassification,
				    XmodForTokenClassification,
				    XmodModel,
				    XmodPreTrainedModel,
				)

else:
		import sys

		__lowerCAmelCase	:       int     =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)












__lowerCAmelCase	:       List[Any]     =	{str(digit): digit**5 for digit in range(10)}




def     __magic_name__       (				A	:      int     ):






			'''simple docstring'''







			return sum(DIGITS_FIFTH_POWER[digit] for digit in str(A     )     )




def     __magic_name__       (				):






			'''simple docstring'''







			return sum(
			    number
			    for number in range(1000,						1000000     )
			    if number == digits_fifth_powers_sum(A     )     )


if __name__ == "__main__":
		print(solution())






