


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

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



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






		def _snake_case		(						self				:     Tuple   ,  UpperCAmelCase				:     int):
				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_				:Dict				     =						copy.deepcopy(self)
				SCREAMING_SNAKE_CASE_				:Union[str, 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 _snake_case		(						self				:     Tuple):
				return {
				    self.image_column: "image",
				    self.label_column: "labels",
				}










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


SCREAMING_SNAKE_CASE__     					=			{
    "configuration_owlvit": [
        "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "OwlViTConfig",
        "OwlViTOnnxConfig",
        "OwlViTTextConfig",
        "OwlViTVisionConfig",
    ],
    "processing_owlvit": ["OwlViTProcessor"],
}


try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		SCREAMING_SNAKE_CASE__     					=			["OwlViTFeatureExtractor"]
		SCREAMING_SNAKE_CASE__     					=			["OwlViTImageProcessor"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		SCREAMING_SNAKE_CASE__     					=			[
		    "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "OwlViTModel",
		    "OwlViTPreTrainedModel",
		    "OwlViTTextModel",
		    "OwlViTVisionModel",
		    "OwlViTForObjectDetection",
		]

if TYPE_CHECKING:
		from .configuration_owlvit import (
		    OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    OwlViTConfig,
		    OwlViTOnnxConfig,
		    OwlViTTextConfig,
		    OwlViTVisionConfig,
		)
		from .processing_owlvit import OwlViTProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_owlvit import OwlViTFeatureExtractor
				from .image_processing_owlvit import OwlViTImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_owlvit import (
				    OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    OwlViTForObjectDetection,
				    OwlViTModel,
				    OwlViTPreTrainedModel,
				    OwlViTTextModel,
				    OwlViTVisionModel,
				)

else:
		import sys

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






