


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      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	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_	: Dict      			=			ma + ma
				else:
								ma += ma

				return ma



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	)->	torch.Tensor:
				lowerCAmelCase_	: Tuple      			=			-1 * len(lowerCAmelCase_	)
				lowerCAmelCase_	: str      			=			list(range(len(tensor.shape[:zero_index]	)	)	)
				return tensor.permute(first_inds + [zero_index + i for i in inds]	)



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	)->	torch.Tensor:
				return t.reshape(t.shape[:-no_dims] + (-1,)	)



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



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_ = 2.3125	,				lowerCAmelCase_ = 21.6875	,				lowerCAmelCase_ = 64	)->	torch.Tensor:
				lowerCAmelCase_	: Any      			=			torch.linspace(lowerCAmelCase_	,				lowerCAmelCase_	,				no_bins - 1	,				device=pts.device	)
				lowerCAmelCase_	: List[str]      			=			torch.sqrt(torch.sum((pts.unsqueeze(-2	) - pts.unsqueeze(-3	)) ** 2	,				dim=-1	)	)
				return torch.bucketize(lowerCAmelCase_	,				lowerCAmelCase_	)



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	)->	dict:
				lowerCAmelCase_	: Dict      			=			dicts[0]
				lowerCAmelCase_	: Dict      			=			{}
				for k, v in first.items():
								lowerCAmelCase_	: Optional[Any]      			=			[d[k] for d in dicts]
								if isinstance(lowerCAmelCase_	,				lowerCAmelCase_	):
												lowerCAmelCase_	: Optional[Any]      			=			dict_multimap(lowerCAmelCase_	,				lowerCAmelCase_	)
								else:
												lowerCAmelCase_	: str      			=			fn(lowerCAmelCase_	)

				return new_dict



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



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_ = 0	,				lowerCAmelCase_ = 0	)->	torch.Tensor:
				lowerCAmelCase_	: List[Union[slice, torch.Tensor]]      			=			[]
				for i, s in enumerate(data.shape[:no_batch_dims]	):
								lowerCAmelCase_	: List[str]      			=			torch.arange(lowerCAmelCase_	)
								lowerCAmelCase_	: List[Any]      			=			r.view(*(*((1,) * i), -1, *((1,) * (len(inds.shape	) - i - 1)))	)
								ranges.append(lowerCAmelCase_	)

				lowerCAmelCase_	: List[Union[slice, torch.Tensor]]      			=			[slice(lowerCAmelCase_	) for _ in range(len(data.shape	) - no_batch_dims	)]
				lowerCAmelCase_	: str      			=			inds
				ranges.extend(lowerCAmelCase_	)
				# 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(lowerCAmelCase_	)]


_UpperCAmelCase     :					List[Any]       =TypeVar("""T""")



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	Dict[Any, Union[dict, list, tuple, Any]]:
				lowerCAmelCase_	: Dict[Any, Union[dict, list, tuple, Any]]      			=			{}
				for k, v in dic.items():
								if isinstance(lowerCAmelCase_	,				lowerCAmelCase_	):
												lowerCAmelCase_	: Optional[int]      			=			dict_map(lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)
								else:
												lowerCAmelCase_	: Dict      			=			tree_map(lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)

				return new_dict



@overload
def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	Any:
				...



@overload
def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	dict:
				...



@overload
def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	list:
				...



@overload
def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	tuple:
				...



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




_UpperCAmelCase     :					Dict       =partial(tree_map, leaf_type=torch.Tensor)



from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase     :					List[str]       =logging.get_logger(__name__)







class 			snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""input_ids""", """attention_mask"""]




						def __init__(			self				,  __lowercase="[PAD]"				,  __lowercase="[BOS]"				,  __lowercase="[EOS]"				,  __lowercase="[MASK]"				,  __lowercase="[CLS]"				,  __lowercase="[SEP]"				,  __lowercase=2_0_4_8				,  **__lowercase				,  )   ->      None:
										lowerCAmelCase_	: Optional[int]      			=			AddedToken(__lowercase				,  lstrip=__lowercase				,  rstrip=__lowercase							) if isinstance(__lowercase				,  __lowercase							) else pad_token
										lowerCAmelCase_	: str      			=			AddedToken(__lowercase				,  lstrip=__lowercase				,  rstrip=__lowercase							) if isinstance(__lowercase				,  __lowercase							) else bos_token
										lowerCAmelCase_	: Dict      			=			AddedToken(__lowercase				,  lstrip=__lowercase				,  rstrip=__lowercase							) if isinstance(__lowercase				,  __lowercase							) else eos_token
										lowerCAmelCase_	: List[str]      			=			AddedToken(__lowercase				,  lstrip=__lowercase				,  rstrip=__lowercase							) if isinstance(__lowercase				,  __lowercase							) else mask_token
										lowerCAmelCase_	: Dict      			=			AddedToken(__lowercase				,  lstrip=__lowercase				,  rstrip=__lowercase							) if isinstance(__lowercase				,  __lowercase							) else cls_token
										lowerCAmelCase_	: Dict      			=			AddedToken(__lowercase				,  lstrip=__lowercase				,  rstrip=__lowercase							) if isinstance(__lowercase				,  __lowercase							) else sep_token

										super().__init__(
										    pad_token=__lowercase				,  bos_token=__lowercase				,  eos_token=__lowercase				,  mask_token=__lowercase				,  cls_token=__lowercase				,  sep_token=__lowercase				,  model_max_length=__lowercase				,  **__lowercase				,  )

										lowerCAmelCase_	: Dict      			=			2**8  # utf is 8 bits

										# define special tokens dict
										lowerCAmelCase_	: Dict[str, int]      			=			{
										    self.pad_token: 0,
										    self.bos_token: 1,
										    self.eos_token: 2,
										    self.mask_token: 3,
										    self.cls_token: 4,
										    self.sep_token: 5,
										}
										lowerCAmelCase_	: List[Any]      			=			len(self.special_tokens_encoder							)
										lowerCAmelCase_	: Dict[int, str]      			=			{v: k for k, v in self.special_tokens_encoder.items()}




						def   lowercase_	(			self							)   ->      Dict[str, int]:
										lowerCAmelCase_	: int      			=			self.special_tokens_encoder.copy()
										vocab.update(self.added_tokens_encoder							)
										for i in range(self._utf_vocab_size							):
														lowerCAmelCase_	: int      			=			chr(__lowercase							)
														lowerCAmelCase_	: Optional[Any]      			=			i + len(self.special_tokens_encoder							)
										return vocab




						@property
						def   lowercase_	(			self							)   ->      str:
										return self._utf_vocab_size + self._num_special_tokens




						def   lowercase_	(			self				,  __lowercase				,  __lowercase = None				,  __lowercase = False							)   ->      List[int]:
										if already_has_special_tokens:
														return super().get_special_tokens_mask(
														    token_ids_a=__lowercase				,  token_ids_a=__lowercase				,  already_has_special_tokens=__lowercase							)

										# normal case: some special tokens
										if token_ids_a is None:
														return [1] + [0] * len(__lowercase							) + [1]
										return [1] + ([0] * len(__lowercase							)) + [1] + ([0] * len(__lowercase							)) + [1]




						def   lowercase_	(			self				,  __lowercase				,  __lowercase = None							)   ->      List[int]:
										if token_ids_a is None:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										else:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]




						def   lowercase_	(			self				,  __lowercase							)   ->      List[str]:
										lowerCAmelCase_	: Optional[int]      			=			[chr(__lowercase							) for i in text.encode('''utf-8'''							)]
										return tokens




						def   lowercase_	(			self				,  __lowercase							)   ->      Tuple:
										if token in self.special_tokens_encoder:
														lowerCAmelCase_	: Optional[int]      			=			self.special_tokens_encoder[token]
										elif token in self.added_tokens_encoder:
														lowerCAmelCase_	: Any      			=			self.added_tokens_encoder[token]
										elif len(__lowercase							) != 1:
														lowerCAmelCase_	: Any      			=			self.unk_token_id
										else:
														lowerCAmelCase_	: List[Any]      			=			ord(__lowercase							) + self._num_special_tokens
										return token_id




						def   lowercase_	(			self				,  __lowercase							)   ->      Optional[int]:
										if index in self.special_tokens_decoder:
														lowerCAmelCase_	: List[Any]      			=			self.special_tokens_decoder[index]
										elif index in self.added_tokens_decoder:
														lowerCAmelCase_	: List[str]      			=			self.added_tokens_decoder[index]
										else:
														lowerCAmelCase_	: str      			=			chr(index - self._num_special_tokens							)
										return token




						def   lowercase_	(			self				,  __lowercase							)   ->      Optional[int]:
										lowerCAmelCase_	: Tuple      			=			B''''''
										for token in tokens:
														if token in self.special_tokens_decoder:
																		lowerCAmelCase_	: int      			=			self.special_tokens_decoder[token].encode('''utf-8'''							)
														elif token in self.added_tokens_decoder:
																		lowerCAmelCase_	: Tuple      			=			self.special_tokens_decoder[token].encode('''utf-8'''							)
														elif token in self.special_tokens_encoder:
																		lowerCAmelCase_	: Any      			=			token.encode('''utf-8'''							)
														elif token in self.added_tokens_encoder:
																		lowerCAmelCase_	: Tuple      			=			token.encode('''utf-8'''							)
														else:
																		lowerCAmelCase_	: str      			=			bytes([ord(__lowercase							)]							)
														bstring += tok_string
										lowerCAmelCase_	: str      			=			bstring.decode('''utf-8'''				,  errors='''replace'''							)
										return string




						def   lowercase_	(			self				,  __lowercase				,  __lowercase = None							)   ->      Tuple[str]:
										return ()