




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


SCREAMING_SNAKE_CASE__    :    List[str]								=					TypeVar("T", bound="TaskTemplate")



@dataclass(frozen=SCREAMING_SNAKE_CASE__    )
class 			a_					(    abc.ABC    ):
	# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
	A						       =   42
	A						       =   42
	A						       =   42





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				T:




				"""simple docstring"""



				return copy.deepcopy(self			)





	@property
	def 	A_(       self			)     ->				Features:




				"""simple docstring"""



				return Features(**self.input_schema			,    **self.label_schema			)





	@property
	@abc.abstractmethod
	def 	A_(       self			)     ->				Dict[str, str]:




				"""simple docstring"""



				raise NotImplementedError





	@classmethod
	def 	A_(       cls			,    SCREAMING_SNAKE_CASE			)     ->				T:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			=	{f.name for f in dataclasses.fields(cls			)}
				return cls(**{k: v for k, v in template_dict.items() if k in field_names}			)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE__    :    List[Any]								=					{"configuration_detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig", "DetrOnnxConfig"]}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				SCREAMING_SNAKE_CASE__    :    int								=					["DetrFeatureExtractor"]
				SCREAMING_SNAKE_CASE__    :    Any								=					["DetrImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				SCREAMING_SNAKE_CASE__    :    List[Any]								=					[
				    "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "DetrForObjectDetection",
				    "DetrForSegmentation",
				    "DetrModel",
				    "DetrPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_detr import DetrFeatureExtractor
								from .image_processing_detr import DetrImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_detr import (
								    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
								    DetrForObjectDetection,
								    DetrForSegmentation,
								    DetrModel,
								    DetrPreTrainedModel,
								)

else:
				import sys

				SCREAMING_SNAKE_CASE__    :    Tuple								=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
