





"""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

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__magic_name__       :					Tuple						=			{
    """configuration_efficientnet""": [
        """EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """EfficientNetConfig""",
        """EfficientNetOnnxConfig""",
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__       :					Optional[int]						=			["""EfficientNetImageProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__       :					List[str]						=			[
		    """EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """EfficientNetForImageClassification""",
		    """EfficientNetModel""",
		    """EfficientNetPreTrainedModel""",
		]

if TYPE_CHECKING:
		from .configuration_efficientnet import (
		    EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    EfficientNetConfig,
		    EfficientNetOnnxConfig,
		)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_efficientnet import EfficientNetImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_efficientnet import (
				    EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
				    EfficientNetForImageClassification,
				    EfficientNetModel,
				    EfficientNetPreTrainedModel,
				)

else:
		import sys

		__magic_name__       :					List[Any]						=			_LazyModule(__name__, globals()["""__file__"""], _import_structure)










"""simple docstring"""


import os

def      UpperCamelCase							():
						UpperCamelCase				:		Union[str, Any]				   =			os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE     )							,     """num.txt"""     )
						with open(SCREAMING_SNAKE_CASE     ) as file_hand:
												return str(sum(int(SCREAMING_SNAKE_CASE     ) for line in file_hand     )     )[:10]


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



