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


UpperCamelCase__											=					logging.get_logger(__name__)

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

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





class      A							(				snake_case_     ):


   def __init__(self     :						Tuple       ,  __UpperCAmelCase     :						Optional[Any]       ,  __UpperCAmelCase     :						int=False       ,  __UpperCAmelCase     :						Dict=True       ,  __UpperCAmelCase     :						Union[str, Any]=False       ,  __UpperCAmelCase     :						Dict="<s>"       ,  __UpperCAmelCase     :						Any="</s>"       ,  __UpperCAmelCase     :						Any="<unk>"       ,  __UpperCAmelCase     :						int="<sep>"       ,  __UpperCAmelCase     :						Tuple="<pad>"       ,  __UpperCAmelCase     :						Any="<cls>"       ,  __UpperCAmelCase     :						Optional[Any]="<mask>"       ,  __UpperCAmelCase     :						int=["<eop>", "<eod>"]       ,  __UpperCAmelCase     :						Optional[Dict[str, Any]] = None       ,  **__UpperCAmelCase     :						List[str]       ,  )						->				None:
         """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 			lowercase_      (self     :						Optional[Any]		)						->				Any:
         """simple docstring"""



         return len(self.sp_model		)


   def 			lowercase_      (self     :						str		)						->				Union[str, Any]:
         """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		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  self.__dict__.copy()
         UpperCAmelCase__								=  None
         return state


   def __setstate__(self     :						Any       ,  __UpperCAmelCase     :						Dict		)						->				Dict:
         """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 			lowercase_      (self     :						List[str]       ,  __UpperCAmelCase     :						Union[str, Any]		)						->				Dict:
         """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 			lowercase_      (self     :						List[str]       ,  __UpperCAmelCase     :						str		)						->				List[str]:
         """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 			lowercase_      (self     :						Union[str, Any]       ,  __UpperCAmelCase     :						int		)						->				int:
         """simple docstring"""



         return self.sp_model.PieceToId(UpperCAmelCase__		)


   def 			lowercase_      (self     :						List[Any]       ,  __UpperCAmelCase     :						Optional[Any]		)						->				Any:
         """simple docstring"""



         return self.sp_model.IdToPiece(UpperCAmelCase__		)


   def 			lowercase_      (self     :						Any       ,  __UpperCAmelCase     :						Any		)						->				Dict:
         """simple docstring"""



         UpperCAmelCase__								=  """""".join(UpperCAmelCase__		).replace(UpperCAmelCase__       ,  " "		).strip()
         return out_string


   def 			lowercase_      (self     :						Any       ,  __UpperCAmelCase     :						List[int]       ,  __UpperCAmelCase     :						Optional[List[int]] = None		)						->				List[int]:
         """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 			lowercase_      (self     :						Tuple       ,  __UpperCAmelCase     :						List[int]       ,  __UpperCAmelCase     :						Optional[List[int]] = None       ,  __UpperCAmelCase     :						bool = False		)						->				List[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 			lowercase_      (self     :						str       ,  __UpperCAmelCase     :						List[int]       ,  __UpperCAmelCase     :						Optional[List[int]] = None		)						->				List[int]:
         """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 			lowercase_      (self     :						Optional[int]       ,  __UpperCAmelCase     :						str       ,  __UpperCAmelCase     :						Optional[str] = None		)						->				Tuple[str]:
         """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 			lowercase_      (self     :						Any       ,  *__UpperCAmelCase     :						List[str]       ,  **__UpperCAmelCase     :						List[str]		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  super()._decode(*UpperCAmelCase__       ,  **UpperCAmelCase__		)
         UpperCAmelCase__								=  text.replace(" "       ,  ""		).replace("\u2582"       ,  " "		).replace("\u2583"       ,  "\n"		)
         return text











"""simple docstring"""




import unittest

import numpy as np

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = None     ,   ):



  '''simple docstring'''
  _a  :       List[Any]             =	np.shape(UpperCamelCase__				)
  _a  :       Any             =	np.shape(UpperCamelCase__				)
  _a  :       Union[str, Any]             =	np.shape(UpperCamelCase__				)

  if shape_a[0] != shape_b[0]:
    _a  :       int             =	(
        """Expected the same number of rows for A and B. """
        F"""Instead found A of size {shape_a} and B of size {shape_b}"""
    )
    raise ValueError(UpperCamelCase__				)

  if shape_b[1] != shape_c[1]:
    _a  :       Tuple             =	(
        """Expected the same number of columns for B and C. """
        F"""Instead found B of size {shape_b} and C of size {shape_c}"""
    )
    raise ValueError(UpperCamelCase__				)

  _a  :       int             =	pseudo_inv
  if a_inv is None:
    try:
      _a  :       Optional[int]             =	np.linalg.inv(UpperCamelCase__				)
    except np.linalg.LinAlgError:
      raise ValueError(
          """Input matrix A is not invertible. Cannot compute Schur complement."""				)

  return mat_c - mat_b.T @ a_inv @ mat_b






class        UpperCamelCase			(	unittest.TestCase      ):


 def _lowercase	(     self		:						int							)					->       None:
   _a  :       str             =	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
   _a  :       Tuple             =	np.array([[0, 3], [3, 0], [2, 3]]							)
   _a  :       Optional[int]             =	np.array([[2, 1], [6, 3]]							)

   _a  :       Optional[Any]             =	schur_complement(UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__							)

   _a  :       Union[str, Any]             =	np.block([[a, b], [b.T, c]]							)

   _a  :       int             =	np.linalg.det(UpperCAmelCase__							)
   _a  :       Union[str, Any]             =	np.linalg.det(UpperCAmelCase__							)
   _a  :       List[Any]             =	np.linalg.det(UpperCAmelCase__							)

   self.assertAlmostEqual(UpperCAmelCase__							,						det_a * det_s							)


 def _lowercase	(     self		:						int							)					->       None:
   _a  :       Optional[int]             =	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
   _a  :       Optional[int]             =	np.array([[0, 3], [3, 0], [2, 3]]							)
   _a  :       Union[str, Any]             =	np.array([[2, 1], [6, 3]]							)

   with self.assertRaises(UpperCAmelCase__							):
     schur_complement(UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__							)







 def _lowercase	(     self		:						List[Any]							)					->       None:
   _a  :       Any             =	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
   _a  :       Dict             =	np.array([[0, 3], [3, 0], [2, 3]]							)
   _a  :       List[Any]             =	np.array([[2, 1, 3], [6, 3, 5]]							)

   with self.assertRaises(UpperCAmelCase__							):
     schur_complement(UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 unittest.main()

