
'''simple docstring'''







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


_lowercase :  List[Any]    							=       logging.get_logger(__name__)

_lowercase :  str    							=       {
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}






class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     '''lilt'''






					def __init__(   self				,							__SCREAMING_SNAKE_CASE=3_05_22				,							__SCREAMING_SNAKE_CASE=7_68				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE=30_72				,							__SCREAMING_SNAKE_CASE="gelu"				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=5_12				,							__SCREAMING_SNAKE_CASE=2				,							__SCREAMING_SNAKE_CASE=0.02				,							__SCREAMING_SNAKE_CASE=1E-1_2				,							__SCREAMING_SNAKE_CASE=0				,							__SCREAMING_SNAKE_CASE="absolute"				,							__SCREAMING_SNAKE_CASE=None				,							__SCREAMING_SNAKE_CASE=4				,							__SCREAMING_SNAKE_CASE=10_24				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)

											lowercase_	:     Tuple													=       vocab_size
											lowercase_	:     Dict													=       hidden_size
											lowercase_	:     int													=       num_hidden_layers
											lowercase_	:     Union[str, Any]													=       num_attention_heads
											lowercase_	:     Tuple													=       hidden_act
											lowercase_	:     List[str]													=       intermediate_size
											lowercase_	:     int													=       hidden_dropout_prob
											lowercase_	:     Dict													=       attention_probs_dropout_prob
											lowercase_	:     Optional[int]													=       max_position_embeddings
											lowercase_	:     int													=       type_vocab_size
											lowercase_	:     List[str]													=       initializer_range
											lowercase_	:     Tuple													=       layer_norm_eps
											lowercase_	:     Tuple													=       position_embedding_type
											lowercase_	:     Tuple													=       classifier_dropout
											lowercase_	:     Any													=       channel_shrink_ratio
											lowercase_	:     List[Any]													=       max_ad_position_embeddings





from __future__ import annotations

import collections
import pprint
from pathlib import Path





def     _a					(						lowerCamelCase							):
 return "".join(sorted(lowerCamelCase							)							)





def     _a					(						lowerCamelCase							):
 return word_by_signature[signature(lowerCamelCase							)]


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

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

if __name__ == "__main__":
      _lowerCamelCase					   ={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))




