






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

from ..features import Features, Sequence, Value
from .base import TaskTemplate



@dataclass(frozen=a_			)
class 							_UpperCamelCase			(a_			):
      # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
      snake_case_  =							field(default="""question-answering-extractive"""							,		metadata={"""include_in_asdict_even_if_is_default""": True}			)
      snake_case_  =							Features({"""question""": Value("""string"""			), """context""": Value("""string"""			)}			)
      snake_case_  =							Features(
          {
              """answers""": Sequence(
                  {
                      """text""": Value("""string"""			),
                      """answer_start""": Value("""int32"""			),
                  }			)
          }			)
      snake_case_  =							"question"
      snake_case_  =							"context"
      snake_case_  =							"answers"


      @property
      def  __UpperCAmelCase		(	self	)->	Dict[str, str]:
           return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}














from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase			:					int         =	logging.get_logger(__name__)

lowerCamelCase			:					Tuple         =	{
    '''caidas/swin2sr-classicalsr-x2-64''': (
        '''https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json'''
    ),
}



class 							_UpperCamelCase			(a_			):
      snake_case_  =							"""swin2sr"""

      snake_case_  =							{
          """hidden_size""": """embed_dim""",
          """num_attention_heads""": """num_heads""",
          """num_hidden_layers""": """num_layers""",
      }


      def __init__(	self					,						__UpperCamelCase=6_4					,						__UpperCamelCase=1					,						__UpperCamelCase=3					,						__UpperCamelCase=1_8_0					,						__UpperCamelCase=[6, 6, 6, 6, 6, 6]					,						__UpperCamelCase=[6, 6, 6, 6, 6, 6]					,						__UpperCamelCase=8					,						__UpperCamelCase=2.0					,						__UpperCamelCase=True					,						__UpperCamelCase=0.0					,						__UpperCamelCase=0.0					,						__UpperCamelCase=0.1					,						__UpperCamelCase="gelu"					,						__UpperCamelCase=False					,						__UpperCamelCase=0.0_2					,						__UpperCamelCase=1e-5					,						__UpperCamelCase=2					,						__UpperCamelCase=1.0					,						__UpperCamelCase="1conv"					,						__UpperCamelCase="pixelshuffle"					,						**__UpperCamelCase					,						)->	Tuple:
           super().__init__(**__UpperCamelCase	)

           __lowerCAmelCase								=					image_size
           __lowerCAmelCase								=					patch_size
           __lowerCAmelCase								=					num_channels
           __lowerCAmelCase								=					embed_dim
           __lowerCAmelCase								=					depths
           __lowerCAmelCase								=					len(__UpperCamelCase	)
           __lowerCAmelCase								=					num_heads
           __lowerCAmelCase								=					window_size
           __lowerCAmelCase								=					mlp_ratio
           __lowerCAmelCase								=					qkv_bias
           __lowerCAmelCase								=					hidden_dropout_prob
           __lowerCAmelCase								=					attention_probs_dropout_prob
           __lowerCAmelCase								=					drop_path_rate
           __lowerCAmelCase								=					hidden_act
           __lowerCAmelCase								=					use_absolute_embeddings
           __lowerCAmelCase								=					layer_norm_eps
           __lowerCAmelCase								=					initializer_range
           __lowerCAmelCase								=					upscale
           __lowerCAmelCase								=					img_range
           __lowerCAmelCase								=					resi_connection
           __lowerCAmelCase								=					upsampler






