'''simple docstring'''







import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate




@dataclass(frozen=_UpperCamelCase					)
class _SCREAMING_SNAKE_CASE(							_UpperCamelCase					):
						A_			:							str     		= field(default='image-classification'						,						metadata={'include_in_asdict_even_if_is_default': True}					)
						A_			:							ClassVar[Features]     		= Features({'image': Image()}					)
						A_			:							ClassVar[Features]     		= Features({'labels': ClassLabel}					)
						A_			:							str     		= "image"
						A_			:							str     		= "labels"




						def      __lowerCamelCase       (    self :       Any							,							UpperCamelCase_ :       Optional[Any]      )     ->				Union[str, Any]:







													if self.label_column not in features:
																				raise ValueError(f'''Column {self.label_column} is not present in features.'''      )
													if not isinstance(features[self.label_column]							,							UpperCamelCase_      ):
																				raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''      )
													SCREAMING_SNAKE_CASE__     :List[str]						    = copy.deepcopy(self      )
													SCREAMING_SNAKE_CASE__     :List[Any]						    = self.label_schema.copy()
													SCREAMING_SNAKE_CASE__     :List[str]						    = features[self.label_column]
													SCREAMING_SNAKE_CASE__     :List[str]						    = label_schema
													return task_template




						@property
						def      __lowerCamelCase       (    self :       List[Any]      )     ->				Dict[str, str]:
													return {
													    self.image_column: "image",
													    self.label_column: "labels",
													}












# 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


a__		     =     {
    '''configuration_efficientnet''': [
        '''EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EfficientNetConfig''',
        '''EfficientNetOnnxConfig''',
    ]
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a__		     =     ['''EfficientNetImageProcessor''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a__		     =     [
	    '''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

	a__		     =     _LazyModule(__name__, globals()['''__file__'''], _import_structure)






