




import functools
from typing import Any







def 	_a      (						SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				list[str]     ):



					if not isinstance(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ) or len(SCREAMING_SNAKE_CASE_     ) == 0:
										raise ValueError("the string should be not empty string"     )

					if not isinstance(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ) or not all(
					    isinstance(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ) and len(SCREAMING_SNAKE_CASE_     ) > 0 for item in words     ):
										raise ValueError("the words should be a list of non-empty strings"     )

					# Build trie
					__lowerCAmelCase				   =       {}
					__lowerCAmelCase				   =       "WORD_KEEPER"

					for word in words:
										__lowerCAmelCase				   =       trie
										for c in word:
															if c not in trie_node:
																				__lowerCAmelCase				   =       {}

															__lowerCAmelCase				   =       trie_node[c]

										__lowerCAmelCase				   =       True

					__lowerCAmelCase				   =       len(SCREAMING_SNAKE_CASE_     )

					# Dynamic programming method
					@functools.cache
					def is_breakable(SCREAMING_SNAKE_CASE_							:				int     ) -> bool:
										if index == len_string:
															return True

										__lowerCAmelCase				   =       trie
										for i in range(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ):
															__lowerCAmelCase				   =       trie_node.get(string[i]      ,      SCREAMING_SNAKE_CASE_     )

															if trie_node is None:
																				return False

															if trie_node.get(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ) and is_breakable(i + 1     ):
																				return True

										return False

					return is_breakable(0     )


if __name__ == "__main__":
					import doctest

					doctest.testmod()











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


UpperCAmelCase	:	Dict		     =       logging.get_logger(__name__)

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







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					Any						=			"""swin2sr"""

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







      def __init__(    self		,      lowerCAmelCase__=6_4		,      lowerCAmelCase__=1		,      lowerCAmelCase__=3		,      lowerCAmelCase__=1_8_0		,      lowerCAmelCase__=[6, 6, 6, 6, 6, 6]		,      lowerCAmelCase__=[6, 6, 6, 6, 6, 6]		,      lowerCAmelCase__=8		,      lowerCAmelCase__=2.0		,      lowerCAmelCase__=True		,      lowerCAmelCase__=0.0		,      lowerCAmelCase__=0.0		,      lowerCAmelCase__=0.1		,      lowerCAmelCase__="gelu"		,      lowerCAmelCase__=False		,      lowerCAmelCase__=0.02		,      lowerCAmelCase__=1E-5		,      lowerCAmelCase__=2		,      lowerCAmelCase__=1.0		,      lowerCAmelCase__="1conv"		,      lowerCAmelCase__="pixelshuffle"		,      **lowerCAmelCase__		,      )   ->						int:



        '''simple docstring'''




        super().__init__(**lowerCAmelCase__							)

        a__	:					Optional[Any]										=image_size
        a__	:					Dict										=patch_size
        a__	:					Tuple										=num_channels
        a__	:					Union[str, Any]										=embed_dim
        a__	:					Optional[Any]										=depths
        a__	:					List[str]										=len(lowerCAmelCase__							)
        a__	:					Any										=num_heads
        a__	:					Any										=window_size
        a__	:					str										=mlp_ratio
        a__	:					List[str]										=qkv_bias
        a__	:					Dict										=hidden_dropout_prob
        a__	:					List[str]										=attention_probs_dropout_prob
        a__	:					Dict										=drop_path_rate
        a__	:					Optional[Any]										=hidden_act
        a__	:					Union[str, Any]										=use_absolute_embeddings
        a__	:					Optional[Any]										=layer_norm_eps
        a__	:					List[Any]										=initializer_range
        a__	:					int										=upscale
        a__	:					Optional[int]										=img_range
        a__	:					Any										=resi_connection
        a__	:					Optional[Any]										=upsampler






