


'''simple docstring'''
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


__snake_case							      =     logging.get_logger(__name__)

__snake_case							      =     {'''vocab_file''': '''spiece.model'''}

__snake_case							      =     {
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

__snake_case							      =     {
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
__snake_case							      =     0
__snake_case							      =     1
__snake_case							      =     2
__snake_case							      =     3
__snake_case							      =     4
class    lowercase	(							A__					):

		"""simple docstring"""

		_a     =				VOCAB_FILES_NAMES
		_a     =				PRETRAINED_VOCAB_FILES_MAP
		_a     =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_a     =				'left'




		def __init__(		self    ,   UpperCamelCase_    ,   UpperCamelCase_=False    ,   UpperCamelCase_=True    ,   UpperCamelCase_=False    ,   UpperCamelCase_="<s>"    ,   UpperCamelCase_="</s>"    ,   UpperCamelCase_="<unk>"    ,   UpperCamelCase_="<sep>"    ,   UpperCamelCase_="<pad>"    ,   UpperCamelCase_="<cls>"    ,   UpperCamelCase_="<mask>"    ,   UpperCamelCase_=["<eop>", "<eod>"]    ,   UpperCamelCase_ = None    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							UpperCamelCase__   :Dict												= AddedToken(UpperCamelCase_    ,   lstrip=UpperCamelCase_    ,   rstrip=UpperCamelCase_							) if isinstance(UpperCamelCase_    ,   UpperCamelCase_							) else mask_token

							UpperCamelCase__   :int												= {} if sp_model_kwargs is None else sp_model_kwargs

							super().__init__(
							    do_lower_case=UpperCamelCase_    ,   remove_space=UpperCamelCase_    ,   keep_accents=UpperCamelCase_    ,   bos_token=UpperCamelCase_    ,   eos_token=UpperCamelCase_    ,   unk_token=UpperCamelCase_    ,   sep_token=UpperCamelCase_    ,   pad_token=UpperCamelCase_    ,   cls_token=UpperCamelCase_    ,   mask_token=UpperCamelCase_    ,   additional_special_tokens=UpperCamelCase_    ,   sp_model_kwargs=self.sp_model_kwargs    ,   **UpperCamelCase_    ,   )

							UpperCamelCase__   :List[Any]												= 3

							UpperCamelCase__   :Any												= do_lower_case
							UpperCamelCase__   :int												= remove_space
							UpperCamelCase__   :List[Any]												= keep_accents
							UpperCamelCase__   :Optional[int]												= vocab_file

							UpperCamelCase__   :str												= spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.Load(UpperCamelCase_							)




		@property
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							return len(self.sp_model							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Dict												= {self.convert_ids_to_tokens(UpperCamelCase_							): i for i in range(self.vocab_size							)}
							vocab.update(self.added_tokens_encoder							)
							return vocab




		def __getstate__(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[Any]												= self.__dict__.copy()
							UpperCamelCase__   :List[Any]												= None
							return state




		def __setstate__(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :str												= d

							# for backward compatibility
							if not hasattr(self    ,   '''sp_model_kwargs'''							):
												UpperCamelCase__   :Optional[int]												= {}

							UpperCamelCase__   :Union[str, Any]												= spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.Load(self.vocab_file							)




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							if self.remove_space:
												UpperCamelCase__   :Tuple												= ''' '''.join(inputs.strip().split()							)
							else:
												UpperCamelCase__   :Tuple												= inputs
							UpperCamelCase__   :str												= outputs.replace('''``'''    ,   '''"'''							).replace('''\'\''''    ,   '''"'''							)

							if not self.keep_accents:
												UpperCamelCase__   :Optional[Any]												= unicodedata.normalize('''NFKD'''    ,   UpperCamelCase_							)
												UpperCamelCase__   :Any												= ''''''.join([c for c in outputs if not unicodedata.combining(UpperCamelCase_							)]							)
							if self.do_lower_case:
												UpperCamelCase__   :List[Any]												= outputs.lower()

							return outputs




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :List[str]												= self.preprocess_text(UpperCamelCase_							)
							UpperCamelCase__   :str												= self.sp_model.encode(UpperCamelCase_    ,   out_type=UpperCamelCase_							)
							UpperCamelCase__   :Optional[int]												= []
							for piece in pieces:
												if len(UpperCamelCase_							) > 1 and piece[-1] == str(''','''							) and piece[-2].isdigit():
																	UpperCamelCase__   :str												= self.sp_model.EncodeAsPieces(piece[:-1].replace(UpperCamelCase_    ,   ''''''							)							)
																	if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																						if len(cur_pieces[0]							) == 1:
																											UpperCamelCase__   :Union[str, Any]												= cur_pieces[1:]
																						else:
																											UpperCamelCase__   :Optional[Any]												= cur_pieces[0][1:]
																	cur_pieces.append(piece[-1]							)
																	new_pieces.extend(UpperCamelCase_							)
												else:
																	new_pieces.append(UpperCamelCase_							)

							return new_pieces




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							return self.sp_model.PieceToId(UpperCamelCase_							)




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							return self.sp_model.IdToPiece(UpperCamelCase_							)




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :str												= ''''''.join(UpperCamelCase_							).replace(UpperCamelCase_    ,   ''' '''							).strip()
							return out_string




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = False    ,   UpperCamelCase_ = None    ,   UpperCamelCase_ = True    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							UpperCamelCase__   :Optional[Any]												= kwargs.pop('''use_source_tokenizer'''    ,   UpperCamelCase_							)

							UpperCamelCase__   :List[Any]												= self.convert_ids_to_tokens(UpperCamelCase_    ,   skip_special_tokens=UpperCamelCase_							)

							# To avoid mixing byte-level and unicode for byte-level BPT
							# we need to build string separately for added tokens and byte-level tokens
							# cf. https://github.com/huggingface/transformers/issues/1133
							UpperCamelCase__   :Union[str, Any]												= []
							UpperCamelCase__   :List[str]												= []
							for token in filtered_tokens:
												if skip_special_tokens and token in self.all_special_ids:
																	continue
												if token in self.added_tokens_encoder:
																	if current_sub_text:
																						sub_texts.append(self.convert_tokens_to_string(UpperCamelCase_							)							)
																						UpperCamelCase__   :List[str]												= []
																	sub_texts.append(UpperCamelCase_							)
												else:
																	current_sub_text.append(UpperCamelCase_							)
							if current_sub_text:
												sub_texts.append(self.convert_tokens_to_string(UpperCamelCase_							)							)

							# Mimic the behavior of the Rust tokenizer:
							# By default, there are no spaces between special tokens
							UpperCamelCase__   :str												= ''''''.join(UpperCamelCase_							)

							UpperCamelCase__   :int												= (
							    clean_up_tokenization_spaces
							    if clean_up_tokenization_spaces is not None
							    else self.clean_up_tokenization_spaces
							)
							if clean_up_tokenization_spaces:
												UpperCamelCase__   :List[Any]												= self.clean_up_tokenization(UpperCamelCase_							)
												return clean_text
							else:
												return text




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = None							):

							'''simple docstring'''


							UpperCamelCase__   :str												= [self.sep_token_id]
							UpperCamelCase__   :Any												= [self.cls_token_id]
							if token_ids_a is None:
												return token_ids_a + sep + cls
							return token_ids_a + sep + token_ids_a + sep + cls




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = None    ,   UpperCamelCase_ = False							):

							'''simple docstring'''


							if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=UpperCamelCase_    ,   token_ids_a=UpperCamelCase_    ,   already_has_special_tokens=UpperCamelCase_							)

							if token_ids_a is not None:
												return ([0] * len(UpperCamelCase_							)) + [1] + ([0] * len(UpperCamelCase_							)) + [1, 1]
							return ([0] * len(UpperCamelCase_							)) + [1, 1]




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = None							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[int]												= [self.sep_token_id]
							UpperCamelCase__   :List[str]												= [2]

							if token_ids_a is None:
												return len(token_ids_a + sep							) * [0] + cls_segment_id
							return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = None							):

							'''simple docstring'''


							if not os.path.isdir(UpperCamelCase_							):
												logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
												return
							UpperCamelCase__   :Optional[int]												= os.path.join(
							    UpperCamelCase_    ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

							if os.path.abspath(self.vocab_file							) != os.path.abspath(UpperCamelCase_							) and os.path.isfile(self.vocab_file							):
												copyfile(self.vocab_file    ,   UpperCamelCase_							)
							elif not os.path.isfile(self.vocab_file							):
												with open(UpperCamelCase_    ,   '''wb'''							) as fi:
																	UpperCamelCase__   :Dict												= self.sp_model.serialized_model_proto()
																	fi.write(UpperCamelCase_							)

							return (out_vocab_file,)



'''simple docstring'''
from datetime import datetime

import matplotlib.pyplot as plt
import torch


def 			a      (			__a   )  ->	int:



					'''simple docstring'''






					for param in module.parameters():
										UpperCamelCase__   :Dict												= False


def 			a      (			)  ->	Union[str, Any]:



					'''simple docstring'''






					UpperCamelCase__   :List[Any]												= '''cuda''' if torch.cuda.is_available() else '''cpu'''
					if torch.backends.mps.is_available() and torch.backends.mps.is_built():
										UpperCamelCase__   :Optional[int]												= '''mps'''
					if device == "mps":
										print(
										    '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
										    ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
										    ''' with generations.'''   )
					return device


def 			a      (			__a   )  ->	Any:



					'''simple docstring'''






					UpperCamelCase__   :Dict												= plt.imshow(__a   )
					fig.axes.get_xaxis().set_visible(__a   )
					fig.axes.get_yaxis().set_visible(__a   )
					plt.show()







def 			a      (			)  ->	str:



					'''simple docstring'''






					UpperCamelCase__   :int												= datetime.now()
					UpperCamelCase__   :str												= current_time.strftime('''%H:%M:%S'''   )
					return timestamp