

"""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


_a														=		logging.get_logger(__name__)

_a														=		{"""vocab_file""": """spiece.model"""}

_a														=		{
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    }
}






class    _UpperCAmelCase(   _UpperCAmelCase     ):



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






							'''simple docstring'''
							_UpperCamelCase										=  AddedToken(_UpperCAmelCase    ,		lstrip=_UpperCAmelCase    ,		rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase    ,		_UpperCAmelCase) else mask_token

							_UpperCamelCase										=  {} 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										=  3

							_UpperCamelCase										=  do_lower_case
							_UpperCamelCase										=  remove_space
							_UpperCamelCase										=  keep_accents
							_UpperCamelCase										=  vocab_file

							_UpperCamelCase										=  spm.SentencePieceProcessor(**self.sp_model_kwargs)
							self.sp_model.Load(_UpperCAmelCase)

							try:
												import jieba
							except ModuleNotFoundError as error:
												raise error.__class__(
												    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
												    '''See https://pypi.org/project/jieba/ for installation.''')
							_UpperCamelCase										=  jieba
							_UpperCamelCase										=  str.maketrans(''' \n'''    ,		'''\u2582\u2583''')



		@property
		# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
		def 						UpperCAmelCase							( self)	->	List[str]:






							'''simple docstring'''
							return len(self.sp_model)



		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							_UpperCamelCase										=  {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)	->	Tuple:






							'''simple docstring'''
							_UpperCamelCase										=  self.__dict__.copy()
							_UpperCamelCase										=  None
							return state



		def __setstate__( self    ,		__a)	->	Union[str, Any]:






							'''simple docstring'''
							_UpperCamelCase										=  d

							# for backward compatibility
							if not hasattr(self    ,		'''sp_model_kwargs'''):
												_UpperCamelCase										=  {}

							_UpperCamelCase										=  spm.SentencePieceProcessor(**self.sp_model_kwargs)
							self.sp_model.Load(self.vocab_file)



		def 						UpperCAmelCase							( self    ,		__a)	->	Optional[Any]:






							'''simple docstring'''
							if self.remove_space:
												_UpperCamelCase										=  ''' '''.join(inputs.strip().split())
							else:
												_UpperCamelCase										=  inputs
							_UpperCamelCase										=  outputs.replace('''``'''    ,		'''"''').replace('''\'\''''    ,		'''"''')

							if not self.keep_accents:
												_UpperCamelCase										=  unicodedata.normalize('''NFKD'''    ,		_UpperCAmelCase)
												_UpperCamelCase										=  ''''''.join([c for c in outputs if not unicodedata.combining(_UpperCAmelCase)])
							if self.do_lower_case:
												_UpperCamelCase										=  outputs.lower()

							return outputs



		def 						UpperCAmelCase							( self    ,		__a)	->	List[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  self.preprocess_text(_UpperCAmelCase)
							_UpperCamelCase										=  self.sp_model.encode(_UpperCAmelCase    ,		out_type=_UpperCAmelCase)
							_UpperCamelCase										=  []
							for piece in pieces:
												if len(_UpperCAmelCase) > 1 and piece[-1] == str(''',''') and piece[-2].isdigit():
																	_UpperCamelCase										=  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										=  cur_pieces[1:]
																						else:
																											_UpperCamelCase										=  cur_pieces[0][1:]
																	cur_pieces.append(piece[-1])
																	new_pieces.extend(_UpperCAmelCase)
												else:
																	new_pieces.append(_UpperCAmelCase)

							return new_pieces



		def 						UpperCAmelCase							( self    ,		__a)	->	List[Any]:






							'''simple docstring'''
							return self.sp_model.PieceToId(_UpperCAmelCase)



		def 						UpperCAmelCase							( self    ,		__a)	->	int:






							'''simple docstring'''
							return self.sp_model.IdToPiece(_UpperCAmelCase)



		def 						UpperCAmelCase							( self    ,		__a)	->	Optional[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  ''''''.join(_UpperCAmelCase).replace(_UpperCAmelCase    ,		''' ''').strip()
							return out_string



		def 						UpperCAmelCase							( self    ,		__a    ,		__a = None)	->	List[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  [self.sep_token_id]
							_UpperCamelCase										=  [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 						UpperCAmelCase							( self    ,		__a    ,		__a = None    ,		__a = False)	->	Optional[int]:






							'''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 						UpperCAmelCase							( self    ,		__a    ,		__a = None)	->	Tuple:






							'''simple docstring'''
							_UpperCamelCase										=  [self.sep_token_id]
							_UpperCamelCase										=  [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 						UpperCAmelCase							( self    ,		__a    ,		__a = None)	->	Tuple:






							'''simple docstring'''
							if not os.path.isdir(_UpperCAmelCase):
												logger.error(F'''Vocabulary path ({save_directory}) should be a directory''')
												return
							_UpperCamelCase										=  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										=  self.sp_model.serialized_model_proto()
																	fi.write(_UpperCAmelCase)

							return (out_vocab_file,)




		def 						UpperCAmelCase							( self    ,		*__a    ,		**__a)	->	str:






							'''simple docstring'''
							_UpperCamelCase										=  super()._decode(*_UpperCAmelCase    ,		**_UpperCAmelCase)
							_UpperCamelCase										=  text.replace(''' '''    ,		'''''').replace('''\u2582'''    ,		''' ''').replace('''\u2583'''    ,		'''\n''')
							return text








"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a														=		logging.get_logger(__name__)

_a														=		{
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				'levit'



		def __init__( self    ,		__a=2_24    ,		__a=3    ,		__a=3    ,		__a=2    ,		__a=1    ,		__a=16    ,		__a=[1_28, 2_56, 3_84]    ,		__a=[4, 8, 12]    ,		__a=[4, 4, 4]    ,		__a=[16, 16, 16]    ,		__a=0    ,		__a=[2, 2, 2]    ,		__a=[2, 2, 2]    ,		__a=0.02    ,		**__a    ,		)	->	List[str]:






							'''simple docstring'''
							super().__init__(**__a)
							_UpperCamelCase										=  image_size
							_UpperCamelCase										=  num_channels
							_UpperCamelCase										=  kernel_size
							_UpperCamelCase										=  stride
							_UpperCamelCase										=  padding
							_UpperCamelCase										=  hidden_sizes
							_UpperCamelCase										=  num_attention_heads
							_UpperCamelCase										=  depths
							_UpperCamelCase										=  key_dim
							_UpperCamelCase										=  drop_path_rate
							_UpperCamelCase										=  patch_size
							_UpperCamelCase										=  attention_ratio
							_UpperCamelCase										=  mlp_ratio
							_UpperCamelCase										=  initializer_range
							_UpperCamelCase										=  [
							    ['''Subsample''', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
							    ['''Subsample''', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
							]






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				version.parse('1.11'     )



		@property
		def 						UpperCAmelCase							( self)	->	Mapping[str, Mapping[int, str]]:






							'''simple docstring'''
							return OrderedDict(
							    [
							        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
							    ])




		@property
		def 						UpperCAmelCase							( self)	->	float:






							'''simple docstring'''
							return 1e-4






