
'''simple docstring'''







def 	_lowercase	(			lowercase_						):



		'''simple docstring'''







		_snake_case			 = word.upper()
		_snake_case			 = 0
		_snake_case			 = {}
		_snake_case			 = []

		for letter in word:
				if letter not in letter_nums:
						_snake_case			 = str(__lowerCamelCase						)
						next_num += 1
				word_pattern.append(letter_nums[letter]						)
		return ".".join(__lowerCamelCase						)


if __name__ == "__main__":
						import pprint
						import time

						_lowerCamelCase							:		Dict										=						time.time()
						with open('dictionary.txt') as in_file:
												_lowerCamelCase							:		Union[str, Any]										=						in_file.read().splitlines()

						_lowerCamelCase							:		int										=						{}
						for word in word_list:
												_lowerCamelCase							:		int										=						get_word_pattern(word)
												if pattern in all_patterns:
																		all_patterns[pattern].append(word)
												else:
																		_lowerCamelCase							:		Optional[int]										=						[word]

						with open('word_patterns.txt', 'w') as out_file:
												out_file.write(pprint.pformat(all_patterns))

						_lowerCamelCase							:		Any										=						round(time.time() - start_time, 2)
						print(F'''Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.''')
						# Done!  9,581 word patterns found in 0.58 seconds.











'''simple docstring'''







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


_lowerCamelCase							:		int										=						logging.get_logger(__name__)

_lowerCamelCase							:		Any										=						{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_lowerCamelCase							:		Dict										=						{
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

_lowerCamelCase							:		List[str]										=						{
    'microsoft/mpnet-base': 512,
}

_lowerCamelCase							:		Tuple										=						{
    'microsoft/mpnet-base': {'do_lower_case': True},
}





class   lowerCamelCase_							( UpperCAmelCase_							):




					'''simple docstring'''






					lowercase__					=				VOCAB_FILES_NAMES
					lowercase__					=				PRETRAINED_VOCAB_FILES_MAP
					lowercase__					=				PRETRAINED_INIT_CONFIGURATION
					lowercase__					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase__					=				MPNetTokenizer
					lowercase__					=				["""input_ids""", """attention_mask"""]






					def __init__(					self,						__UpperCamelCase=None,						__UpperCamelCase=None,						__UpperCamelCase=True,						__UpperCamelCase="<s>",						__UpperCamelCase="</s>",						__UpperCamelCase="</s>",						__UpperCamelCase="<s>",						__UpperCamelCase="[UNK]",						__UpperCamelCase="<pad>",						__UpperCamelCase="<mask>",						__UpperCamelCase=True,						__UpperCamelCase=None,						**__UpperCamelCase,						):
							super().__init__(
							    __UpperCamelCase,						tokenizer_file=__UpperCamelCase,						do_lower_case=__UpperCamelCase,						bos_token=__UpperCamelCase,						eos_token=__UpperCamelCase,						sep_token=__UpperCamelCase,						cls_token=__UpperCamelCase,						unk_token=__UpperCamelCase,						pad_token=__UpperCamelCase,						mask_token=__UpperCamelCase,						tokenize_chinese_chars=__UpperCamelCase,						strip_accents=__UpperCamelCase,						**__UpperCamelCase,						)

							_snake_case			 = json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
							if (
							    pre_tok_state.get("lowercase",						__UpperCamelCase				) != do_lower_case
							    or pre_tok_state.get("strip_accents",						__UpperCamelCase				) != strip_accents
							):
									_snake_case			 = getattr(__UpperCamelCase,						pre_tok_state.pop("type"				)				)
									_snake_case			 = do_lower_case
									_snake_case			 = strip_accents
									_snake_case			 = pre_tok_class(**__UpperCamelCase				)

							_snake_case			 = do_lower_case






					@property
					def        __SCREAMING_SNAKE_CASE			(					self				):
							if self._mask_token is None:
									if self.verbose:
											logger.error("Using mask_token, but it is not set yet."				)
									return None
							return str(self._mask_token				)






					@mask_token.setter
					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
							_snake_case			 = AddedToken(__UpperCamelCase,						lstrip=__UpperCamelCase,						rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase,						__UpperCamelCase				) else value
							_snake_case			 = value






					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase=None				):
							_snake_case			 = [self.bos_token_id] + token_ids_a + [self.eos_token_id]
							if token_ids_a is None:
									return output

							return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None				):
							_snake_case			 = [self.sep_token_id]
							_snake_case			 = [self.cls_token_id]

							if token_ids_a is None:
									return len(cls + token_ids_a + sep				) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep				) * [0]






					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None				):
							_snake_case			 = self._tokenizer.model.save(__UpperCamelCase,						name=__UpperCamelCase				)
							return tuple(__UpperCamelCase				)





