

'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case  : Union[str, Any]					    =	logging.get_logger(__name__)

snake_case  : Union[str, Any]					    =	{
    '''bert-base-uncased''': '''https://huggingface.co/bert-base-uncased/resolve/main/config.json''',
    '''bert-large-uncased''': '''https://huggingface.co/bert-large-uncased/resolve/main/config.json''',
    '''bert-base-cased''': '''https://huggingface.co/bert-base-cased/resolve/main/config.json''',
    '''bert-large-cased''': '''https://huggingface.co/bert-large-cased/resolve/main/config.json''',
    '''bert-base-multilingual-uncased''': '''https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json''',
    '''bert-base-multilingual-cased''': '''https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json''',
    '''bert-base-chinese''': '''https://huggingface.co/bert-base-chinese/resolve/main/config.json''',
    '''bert-base-german-cased''': '''https://huggingface.co/bert-base-german-cased/resolve/main/config.json''',
    '''bert-large-uncased-whole-word-masking''': (
        '''https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json'''
    ),
    '''bert-large-cased-whole-word-masking''': (
        '''https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json'''
    ),
    '''bert-large-uncased-whole-word-masking-finetuned-squad''': (
        '''https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json'''
    ),
    '''bert-large-cased-whole-word-masking-finetuned-squad''': (
        '''https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json'''
    ),
    '''bert-base-cased-finetuned-mrpc''': '''https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json''',
    '''bert-base-german-dbmdz-cased''': '''https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json''',
    '''bert-base-german-dbmdz-uncased''': '''https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json''',
    '''cl-tohoku/bert-base-japanese''': '''https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json''',
    '''cl-tohoku/bert-base-japanese-whole-word-masking''': (
        '''https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json'''
    ),
    '''cl-tohoku/bert-base-japanese-char''': (
        '''https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json'''
    ),
    '''cl-tohoku/bert-base-japanese-char-whole-word-masking''': (
        '''https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json'''
    ),
    '''TurkuNLP/bert-base-finnish-cased-v1''': (
        '''https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json'''
    ),
    '''TurkuNLP/bert-base-finnish-uncased-v1''': (
        '''https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json'''
    ),
    '''wietsedv/bert-base-dutch-cased''': '''https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json''',
    # See all BERT models at https://huggingface.co/models?filter=bert
}




class 					lowerCamelCase__(    __lowerCAmelCase		):
 UpperCamelCase			:						Optional[Any]   							=       """bert"""

 def __init__(      self			,							__UpperCAmelCase=3_0_5_2_2			,							__UpperCAmelCase=7_6_8			,							__UpperCAmelCase=1_2			,							__UpperCAmelCase=1_2			,							__UpperCAmelCase=3_0_7_2			,							__UpperCAmelCase="gelu"			,							__UpperCAmelCase=0.1			,							__UpperCAmelCase=0.1			,							__UpperCAmelCase=5_1_2			,							__UpperCAmelCase=2			,							__UpperCAmelCase=0.02			,							__UpperCAmelCase=1E-12			,							__UpperCAmelCase=0			,							__UpperCAmelCase="absolute"			,							__UpperCAmelCase=True			,							__UpperCAmelCase=None			,							**__UpperCAmelCase			,							):



    """simple docstring"""







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

    __lowercase							      =				vocab_size
    __lowercase							      =				hidden_size
    __lowercase							      =				num_hidden_layers
    __lowercase							      =				num_attention_heads
    __lowercase							      =				hidden_act
    __lowercase							      =				intermediate_size
    __lowercase							      =				hidden_dropout_prob
    __lowercase							      =				attention_probs_dropout_prob
    __lowercase							      =				max_position_embeddings
    __lowercase							      =				type_vocab_size
    __lowercase							      =				initializer_range
    __lowercase							      =				layer_norm_eps
    __lowercase							      =				position_embedding_type
    __lowercase							      =				use_cache
    __lowercase							      =				classifier_dropout





class 					lowerCamelCase__(    __lowerCAmelCase		):

 @property
 def   __magic_name__						(      self	):



    """simple docstring"""







    if self.task == "multiple-choice":
       __lowercase							      =				{0: """batch""", 1: """choice""", 2: """sequence"""}
    else:
       __lowercase							      =				{0: """batch""", 1: """sequence"""}
    return OrderedDict(
        [
            ("""input_ids""", dynamic_axis),
            ("""attention_mask""", dynamic_axis),
            ("""token_type_ids""", dynamic_axis),
        ]	)









'''simple docstring'''





from __future__ import annotations

import collections
import pprint
from pathlib import Path





def       __a      (  _UpperCamelCase:       str       )		->					str:

     """simple docstring"""




     return "".join(sorted(_UpperCamelCase       )       )





def       __a      (  _UpperCamelCase:       str       )		->					list[str]:

     """simple docstring"""




     return word_by_signature[signature(_UpperCamelCase       )]


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

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

if __name__ == "__main__":
   UpperCamelCase_		:     List[str]          =		{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))


