




'''simple docstring'''





# 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


_SCREAMING_SNAKE_CASE							:       Optional[Any]						=			{
    "configuration_xmod": [
        "XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XmodConfig",
        "XmodOnnxConfig",
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE							:       List[Any]						=			[
		    "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

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










'''simple docstring'''





def 					UpperCamelCase_(     snake_case							:	int							,    snake_case							:	int					):

							'''simple docstring'''






							while b:
														snake_case_ ,				snake_case_      =				b, a % b
							return a


def 					UpperCamelCase_(     snake_case							:	int							,    snake_case							:	int					):

							'''simple docstring'''






							return a if b == 0 else euclidean_gcd_recursive(snake_case							,    a % b					)


def 					UpperCamelCase_(     ):

							'''simple docstring'''






							print(f'euclidean_gcd(3, 5) = {euclidean_gcd(3							,    5					)}'					)
							print(f'euclidean_gcd(5, 3) = {euclidean_gcd(5							,    3					)}'					)
							print(f'euclidean_gcd(1, 3) = {euclidean_gcd(1							,    3					)}'					)
							print(f'euclidean_gcd(3, 6) = {euclidean_gcd(3							,    6					)}'					)
							print(f'euclidean_gcd(6, 3) = {euclidean_gcd(6							,    3					)}'					)

							print(f'euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3							,    5					)}'					)
							print(f'euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5							,    3					)}'					)
							print(f'euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1							,    3					)}'					)
							print(f'euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3							,    6					)}'					)
							print(f'euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6							,    3					)}'					)


if __name__ == "__main__":
		main()




