





'''simple docstring'''




from __future__ import annotations

import collections
import pprint
from pathlib import Path







def _lowerCAmelCase     (      _lowerCAmelCase    )->     str:
 return "".join(sorted(_lowerCAmelCase    )    )







def _lowerCAmelCase     (      _lowerCAmelCase    )->     list[str]:
 return word_by_signature[signature(_lowerCAmelCase    )]


_A:					str							=				Path(__file__).parent.joinpath("""words.txt""").read_text(encoding="""utf-8""")
_A:					int							=				sorted({word.strip().lower() for word in data.splitlines()})

_A:					Optional[int]							=				collections.defaultdict(list)
for word in word_list:
    word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
    _A:					Union[str, Any]							=				{word: anagram(word) for word in word_list if len(anagram(word)) > 1}

    with open("""anagrams.txt""", """w""") as file:
        file.write("""all_anagrams = \n """)
        file.write(pprint.pformat(all_anagrams))












'''simple docstring'''




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


_A:					Tuple							=				logging.get_logger(__name__)






class UpperCAmelCase							(		UpperCAmelCase_							):
    _A :			List[Any]						   =       """timm_backbone"""



    def __init__(  self     ,			__A=None     ,			__A=3     ,			__A=True     ,			__A=True     ,			__A=None     ,			**__A     ,			):
     super().__init__(**__A					)
     __UpperCAmelCase					=   backbone
     __UpperCAmelCase					=   num_channels
     __UpperCAmelCase					=   features_only
     __UpperCAmelCase					=   use_pretrained_backbone
     __UpperCAmelCase					=   True
     __UpperCAmelCase					=   out_indices if out_indices is not None else (-1,)





