

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


__A			:					Dict						=			logging.get_logger(__name__)

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





class 			_SCREAMING_SNAKE_CASE (   __snake_case		):







   '''simple docstring'''




   lowerCamelCase__				=      "swin2sr"

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





   def __init__(       self					:			Dict     , __lowerCamelCase					:			Optional[int]=64     , __lowerCamelCase					:			int=1     , __lowerCamelCase					:			Optional[int]=3     , __lowerCamelCase					:			Any=180     , __lowerCamelCase					:			str=[6, 6, 6, 6, 6, 6]     , __lowerCamelCase					:			Dict=[6, 6, 6, 6, 6, 6]     , __lowerCamelCase					:			Optional[Any]=8     , __lowerCamelCase					:			Any=2.0     , __lowerCamelCase					:			int=True     , __lowerCamelCase					:			Dict=0.0     , __lowerCamelCase					:			Dict=0.0     , __lowerCamelCase					:			Dict=0.1     , __lowerCamelCase					:			Tuple="gelu"     , __lowerCamelCase					:			List[str]=False     , __lowerCamelCase					:			Any=0.02     , __lowerCamelCase					:			Optional[int]=1e-5     , __lowerCamelCase					:			List[Any]=2     , __lowerCamelCase					:			List[str]=1.0     , __lowerCamelCase					:			Union[str, Any]="1conv"     , __lowerCamelCase					:			List[Any]="pixelshuffle"     , **__lowerCamelCase					:			Optional[Any]     , ):
       super().__init__(**__lowerCamelCase			)

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


from __future__ import annotations





def 	__a     (      A__			:  list[int | str]       ):
    create_state_space_tree(A__			,  []			,  0			,  [0 for i in range(len(A__       )       )]       )





def 	__a     (      A__			:  list[int | str]			,  A__			:  list[int | str]			,  A__			:  int			,  A__			:  list[int]			,  ):

    if index == len(A__       ):
        print(A__       )
        return

    for i in range(len(A__       )       ):
        if not index_used[i]:
            current_sequence.append(sequence[i]       )
            SCREAMING_SNAKE_CASE										=   True
            create_state_space_tree(A__			,  A__			,  index + 1			,  A__       )
            current_sequence.pop()
            SCREAMING_SNAKE_CASE										=   False
__A			:					list[int | str]						=			[3, 1, 2, 4]
generate_all_permutations(sequence)

__A			:					list[int | str]						=			["A", "B", "C"]





generate_all_permutations(sequence_a)