"""simple docstring"""







from functools import partial
from typing import Any, Callable, Dict, List, Type, TypeVar, Union, overload

import torch
import torch.nn as nn
import torch.types



def       A__    (	lowercase_     :	torch.Tensor      , lowercase_     :	torch.Tensor      , lowercase_     :	bool						)  ->							torch.Tensor:
   # The first operation in a checkpoint can't be in-place, but it's
   # nice to have in-place addition during inference. Thus...
   if not inplace:
      __lowerCamelCase    		=					ma + ma
   else:
      ma += ma

   return ma



def       A__    (	lowercase_     :	torch.Tensor      , lowercase_     :	List[int]						)  ->							torch.Tensor:
   __lowerCamelCase    		=					-1 * len(lowercase_						)
   __lowerCamelCase    		=					list(range(len(tensor.shape[:zero_index]						)						)						)
   return tensor.permute(first_inds + [zero_index + i for i in inds]						)



def       A__    (	lowercase_     :	torch.Tensor      , lowercase_     :	int						)  ->							torch.Tensor:
   return t.reshape(t.shape[:-no_dims] + (-1,)						)



def       A__    (	lowercase_     :	torch.Tensor      , lowercase_     :	torch.Tensor      , lowercase_     :	int      , lowercase_     :	float = 1e-4						)  ->							torch.Tensor:
   __lowerCamelCase    		=					mask.expand(*value.shape						)
   return torch.sum(mask * value      , dim=lowercase_						) / (eps + torch.sum(lowercase_      , dim=lowercase_						))



def       A__    (	lowercase_     :	torch.Tensor      , lowercase_     :	torch.types.Number = 2.3_1_2_5      , lowercase_     :	torch.types.Number = 2_1.6_8_7_5      , lowercase_     :	int = 64						)  ->							torch.Tensor:
   __lowerCamelCase    		=					torch.linspace(lowercase_      , lowercase_      , no_bins - 1      , device=pts.device						)
   __lowerCamelCase    		=					torch.sqrt(torch.sum((pts.unsqueeze(-2						) - pts.unsqueeze(-3						)) ** 2      , dim=-1						)						)
   return torch.bucketize(lowercase_      , lowercase_						)



def       A__    (	lowercase_     :	Callable[[list], Any]      , lowercase_     :	List[dict]						)  ->							dict:
   __lowerCamelCase    		=					dicts[0]
   __lowerCamelCase    		=					{}
   for k, v in first.items():
      __lowerCamelCase    		=					[d[k] for d in dicts]
      if isinstance(lowercase_      , lowercase_						):
         __lowerCamelCase    		=					dict_multimap(lowercase_      , lowercase_						)
      else:
         __lowerCamelCase    		=					fn(lowercase_						)

   return new_dict



def       A__    (	lowercase_     :	torch.Tensor      , lowercase_     :	torch.Tensor						)  ->							torch.Tensor:
   __lowerCamelCase    		=					v_bins.view(((1,) * len(x.shape						)) + (len(lowercase_						),)						)
   __lowerCamelCase    		=					x[..., None] - reshaped_bins
   __lowerCamelCase    		=					torch.argmin(torch.abs(lowercase_						)      , dim=-1						)
   return nn.functional.one_hot(lowercase_      , num_classes=len(lowercase_						)						).float()



def       A__    (	lowercase_     :	torch.Tensor      , lowercase_     :	torch.Tensor      , lowercase_     :	int = 0      , lowercase_     :	int = 0						)  ->							torch.Tensor:
   __lowerCamelCase    		=					[]
   for i, s in enumerate(data.shape[:no_batch_dims]						):
      __lowerCamelCase    		=					torch.arange(lowercase_						)
      __lowerCamelCase    		=					r.view(*(*((1,) * i), -1, *((1,) * (len(inds.shape						) - i - 1)))						)
      ranges.append(lowercase_						)

   __lowerCamelCase    		=					[slice(lowercase_						) for _ in range(len(data.shape						) - no_batch_dims						)]
   __lowerCamelCase    		=					inds
   ranges.extend(lowercase_						)
   # Matt note: Editing this to get around the behaviour of using a list as an array index changing
   # in recent Numpy versions
   return data[tuple(lowercase_						)]


_SCREAMING_SNAKE_CASE	:		Dict   =   TypeVar('''T''')



def       A__    (	lowercase_     :	Callable[[T], Any]      , lowercase_     :	Dict[Any, Union[dict, list, tuple, T]]      , lowercase_     :	Type[T]						)  ->							Dict[Any, Union[dict, list, tuple, Any]]:
   __lowerCamelCase    		=					{}
   for k, v in dic.items():
      if isinstance(lowercase_      , lowercase_						):
         __lowerCamelCase    		=					dict_map(lowercase_      , lowercase_      , lowercase_						)
      else:
         __lowerCamelCase    		=					tree_map(lowercase_      , lowercase_      , lowercase_						)

   return new_dict



@overload
def       A__    (	lowercase_     :	Callable[[T], Any]      , lowercase_     :	T      , lowercase_     :	Type[T]						)  ->							Any:
   ...



@overload
def       A__    (	lowercase_     :	Callable[[T], Any]      , lowercase_     :	dict      , lowercase_     :	Type[T]						)  ->							dict:
   ...



@overload
def       A__    (	lowercase_     :	Callable[[T], Any]      , lowercase_     :	list      , lowercase_     :	Type[T]						)  ->							list:
   ...



@overload
def       A__    (	lowercase_     :	Callable[[T], Any]      , lowercase_     :	tuple      , lowercase_     :	Type[T]						)  ->							tuple:
   ...



def       A__    (	lowercase_     :	Optional[Any]      , lowercase_     :	Optional[int]      , lowercase_     :	List[str]						)  ->							Any:
   if isinstance(lowercase_      , lowercase_						):
      return dict_map(lowercase_      , lowercase_      , lowercase_						)
   elif isinstance(lowercase_      , lowercase_						):
      return [tree_map(lowercase_      , lowercase_      , lowercase_						) for x in tree]
   elif isinstance(lowercase_      , lowercase_						):
      return tuple(tree_map(lowercase_      , lowercase_      , lowercase_						) for x in tree						)
   elif isinstance(lowercase_      , lowercase_						):
      return fn(lowercase_						)
   else:
      print(type(lowercase_						)						)
      raise ValueError('Not supported'						)


_SCREAMING_SNAKE_CASE	:		Union[str, Any]   =   partial(tree_map, leaf_type=torch.Tensor)










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


UpperCAmelCase__        =				logging.get_logger(__name__)

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

UpperCAmelCase__        =				{
    '''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''',
    },
}

UpperCAmelCase__        =				{
    '''microsoft/mpnet-base''': 512,
}

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







class  lowerCamelCase__  (			lowerCAmelCase):
     SCREAMING_SNAKE_CASE__      =     VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE__      =     PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE__      =     PRETRAINED_INIT_CONFIGURATION
     SCREAMING_SNAKE_CASE__      =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE__      =     MPNetTokenizer
     SCREAMING_SNAKE_CASE__      =     ['''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						,	)	->  Optional[int]:
      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						,	)

      _lowercase				 =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
      ):
       _lowercase				 =getattr(UpperCAmelCase						,	pre_tok_state.pop('''type'''			)			)
       _lowercase				 =do_lower_case
       _lowercase				 =strip_accents
       _lowercase				 =pre_tok_class(**UpperCAmelCase			)

      _lowercase				 =do_lower_case





     @property
     def 	__A   (self			)	->  str:
      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 	__A   (self						,	UpperCAmelCase			)	->  Optional[int]:
      _lowercase				 =AddedToken(UpperCAmelCase						,	lstrip=UpperCAmelCase						,	rstrip=UpperCAmelCase			) if isinstance(UpperCAmelCase						,	UpperCAmelCase			) else value
      _lowercase				 =value





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase=None			)	->  List[str]:
      _lowercase				 =[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 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase = None			)	->  List[int]:
      _lowercase				 =[self.sep_token_id]
      _lowercase				 =[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 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase = None			)	->  Tuple[str]:
      _lowercase				 =self._tokenizer.model.save(UpperCAmelCase						,	name=UpperCAmelCase			)
      return tuple(UpperCAmelCase			)

