


# 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


__snake_case            =   {
    "configuration_xmod": [
        "XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XmodConfig",
        "XmodOnnxConfig",
    ],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__snake_case            =   [
			    "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

			__snake_case            =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)








def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int	):





			"""simple docstring"""




			assert (
			    isinstance(SCREAMING_SNAKE_CASE_       ,  SCREAMING_SNAKE_CASE_	) and number_of_steps > 0
			), f'number_of_steps needs to be positive integer, your input {number_of_steps}'
			if number_of_steps == 1:
						return 1
			UpperCamelCase  ,  UpperCamelCase         =					1, 1
			for _ in range(number_of_steps - 1	):
						UpperCamelCase  ,  UpperCamelCase         =					current + previous, current
			return current


if __name__ == "__main__":
			import doctest

			doctest.testmod()




