





"""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


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

A_     :      Any								={"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

A_     :      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""",
    },
}

A_     :      List[str]								={
    """microsoft/mpnet-base""": 5_1_2,
}

A_     :      Dict								={
    """microsoft/mpnet-base""": {"""do_lower_case""": True},
}







class 	__a   (  lowerCAmelCase__		):
     SCREAMING_SNAKE_CASE__ :      int       		=			VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE__ :      Optional[int]       		=			PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE__ :      Optional[int]       		=			PRETRAINED_INIT_CONFIGURATION
     SCREAMING_SNAKE_CASE__ :      List[Any]       		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE__ :      str       		=			MPNetTokenizer
     SCREAMING_SNAKE_CASE__ :      Any       		=			["input_ids", "attention_mask"]



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

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

            _lowerCamelCase    	=					do_lower_case



     @property
     def 						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 						snake_case_			(       self					,     a__   ):
            _lowerCamelCase    	=					AddedToken(a__					,     lstrip=a__					,     rstrip=a__   ) if isinstance(a__					,     a__   ) else value
            _lowerCamelCase    	=					value



     def 						snake_case_			(       self					,     a__					,     a__=None   ):
            _lowerCamelCase    	=					[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 						snake_case_			(       self					,     a__					,     a__ = None   ):
            _lowerCamelCase    	=					[self.sep_token_id]
            _lowerCamelCase    	=					[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 						snake_case_			(       self					,     a__					,     a__ = None   ):
            _lowerCamelCase    	=					self._tokenizer.model.save(a__					,     name=a__   )
            return tuple(a__   )













"""simple docstring"""


from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier

# Load iris file
A_     :      List[str]								=load_iris()
iris.keys()


print(f'Target names: \n {iris.target_names} ')
print(f'\n Features: \n {iris.feature_names}')

# Train set e Test set
A_							,	A_							,	A_							,	A_     :      List[Any]								=train_test_split(
    iris["""data"""], iris["""target"""], random_state=4
)

# KNN

A_     :      str								=KNeighborsClassifier(n_neighbors=1)
knn.fit(X_train, y_train)

# new array to test
A_     :      Any								=[[1, 2, 1, 4], [2, 3, 4, 5]]

A_     :      int								=knn.predict(X_new)

print(
    f'\nNew array: \n {X_new}\n\nTarget Names Prediction: \n'
    f' {iris["target_names"][prediction]}'
)






