





import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


UpperCAmelCase     :     List[Any]							=	HUGGINGFACE_HUB_CACHE


UpperCAmelCase     :     List[str]							=	"""config.json"""
UpperCAmelCase     :     int							=	"""diffusion_pytorch_model.bin"""
UpperCAmelCase     :     Optional[Any]							=	"""diffusion_flax_model.msgpack"""
UpperCAmelCase     :     Optional[int]							=	"""model.onnx"""
UpperCAmelCase     :     Tuple							=	"""diffusion_pytorch_model.safetensors"""
UpperCAmelCase     :     Any							=	"""weights.pb"""
UpperCAmelCase     :     Any							=	"""https://huggingface.co"""
UpperCAmelCase     :     List[str]							=	default_cache_path
UpperCAmelCase     :     List[Any]							=	"""diffusers_modules"""
UpperCAmelCase     :     Dict							=	os.getenv("""HF_MODULES_CACHE""", os.path.join(hf_cache_home, """modules"""))
UpperCAmelCase     :     List[Any]							=	["""fp16""", """non-ema"""]
UpperCAmelCase     :     List[str]							=	""".self_attn"""













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     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : str            =      field(default="""image-classification"""						,    metadata={"""include_in_asdict_even_if_is_default""": True})
      _lowercase    : ClassVar[Features]            =      Features({"""image""": Image()})
      _lowercase    : ClassVar[Features]            =      Features({"""labels""": ClassLabel})
      _lowercase    : str            =      "image"
      _lowercase    : str            =      "labels"







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						List[Any]:



        '''simple docstring'''




        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]		,				lowerCAmelCase__							):
          raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''							)
        a__     : int  =copy.deepcopy(self							)
        a__     : Dict  =self.label_schema.copy()
        a__     : int  =features[self.label_column]
        a__     : str  =label_schema
        return task_template







      @property
      def        _lowercase  (   self							)       ->						Dict[str, str]:



        '''simple docstring'''




        return {
            self.image_column: "image",
            self.label_column: "labels",
        }






