

'''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


UpperCAmelCase :       Tuple			   =     logging.get_logger(__name__)

UpperCAmelCase :       int			   =     {'''vocab_file''': '''spiece.model'''}

UpperCAmelCase :       List[Any]			   =     {
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    }
}







class 						lowerCAmelCase__   (      a__					):



 """simple docstring"""



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


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      AddedToken(_UpperCAmelCase					,							lstrip=_UpperCAmelCase					,							rstrip=_UpperCAmelCase			) if isinstance(_UpperCAmelCase					,							_UpperCAmelCase			) else mask_token

      __SCREAMING_SNAKE_CASE     =      {} 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					,							)

      __SCREAMING_SNAKE_CASE     =      3

      __SCREAMING_SNAKE_CASE     =      do_lower_case
      __SCREAMING_SNAKE_CASE     =      remove_space
      __SCREAMING_SNAKE_CASE     =      keep_accents
      __SCREAMING_SNAKE_CASE     =      vocab_file

      __SCREAMING_SNAKE_CASE     =      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."""			)
      __SCREAMING_SNAKE_CASE     =      jieba
      __SCREAMING_SNAKE_CASE     =      str.maketrans(""" \n"""					,							"""\u2582\u2583"""			)
 @property
 # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
 def       UpperCAmelCase__		(		self					:       List[str]			)  -> List[Any]:


      """simple docstring"""




      return len(self.sp_model			)
 def       UpperCAmelCase__		(		self					:       Dict			)  -> str:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      {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					:       List[str]			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.__dict__.copy()
      __SCREAMING_SNAKE_CASE     =      None
      return state
 def __setstate__(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       List[Any]			)  -> List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      d

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

      __SCREAMING_SNAKE_CASE     =      spm.SentencePieceProcessor(**self.sp_model_kwargs			)
      self.sp_model.Load(self.vocab_file			)
 def       UpperCAmelCase__		(		self					:       List[str]					,							__SCREAMING_SNAKE_CASE					:       List[Any]			)  -> List[str]:


      """simple docstring"""




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

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

      return outputs
 def       UpperCAmelCase__		(		self					:       List[str]					,							__SCREAMING_SNAKE_CASE					:       str			)  -> Optional[int]:


      """simple docstring"""




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

      return new_pieces
 def       UpperCAmelCase__		(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       List[Any]			)  -> Optional[Any]:


      """simple docstring"""




      return self.sp_model.PieceToId(_UpperCAmelCase			)
 def       UpperCAmelCase__		(		self					:       Optional[int]					,							__SCREAMING_SNAKE_CASE					:       Dict			)  -> List[str]:


      """simple docstring"""




      return self.sp_model.IdToPiece(_UpperCAmelCase			)
 def       UpperCAmelCase__		(		self					:       int					,							__SCREAMING_SNAKE_CASE					:       Any			)  -> Optional[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      ''.join(_UpperCAmelCase			).replace(_UpperCAmelCase					,							""" """			).strip()
      return out_string
 def       UpperCAmelCase__		(		self					:       List[str]					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       Optional[int] = None			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      [self.sep_token_id]
      __SCREAMING_SNAKE_CASE     =      [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					:       int					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       Tuple = None					,							__SCREAMING_SNAKE_CASE					:       List[Any] = False			)  -> 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					:       int					,							__SCREAMING_SNAKE_CASE					:       Optional[Any]					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any] = None			)  -> Optional[int]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      [self.sep_token_id]
      __SCREAMING_SNAKE_CASE     =      [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					:       Optional[Any]					,							__SCREAMING_SNAKE_CASE					:       int					,							__SCREAMING_SNAKE_CASE					:       int = None			)  -> List[str]:


      """simple docstring"""




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

      return (out_vocab_file,)


 def       UpperCAmelCase__		(		self					:       List[Any]					,							*__SCREAMING_SNAKE_CASE					:       Optional[Any]					,							**__SCREAMING_SNAKE_CASE					:       Dict			)  -> Any:


      """simple docstring"""




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













'''simple docstring'''




from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float ,							__snake_case  : bool = False			)     ->     list[float]:
     if radian_mode:
          return [magnitude * cos(__snake_case			), magnitude * sin(__snake_case			)]
     return [magnitude * cos(radians(__snake_case			)			), magnitude * sin(radians(__snake_case			)			)]






def        _lowerCAmelCase			(  __snake_case  : NDArray[floataa] ,							__snake_case  : NDArray[floataa] ,							__snake_case  : float = 10**-1			)     ->     bool:
     __A						: NDArray[floataa]      =       cross(__snake_case ,							__snake_case			)
     __A						: float      =       sum(__snake_case			)
     return abs(__snake_case			) < eps


if __name__ == "__main__":
  # Test to check if it works
  lowercase__    :      List[Any]						=    array(
      [
          polar_force(718.4, 1_80 - 30),
          polar_force(879.54, 45),
          polar_force(1_00, -90),
      ]
  )

  lowercase__    :      NDArray[floataa]						=    array([[0, 0], [0, 0], [0, 0]])

  assert in_static_equilibrium(forces, location)

  # Problem 1 in image_data/2D_problems.jpg
  lowercase__    :      Dict						=    array(
      [
          polar_force(30 * 9.81, 15),
          polar_force(2_15, 1_80 - 45),
          polar_force(2_64, 90 - 30),
      ]
  )

  lowercase__    :      Any						=    array([[0, 0], [0, 0], [0, 0]])

  assert in_static_equilibrium(forces, location)

  # Problem in image_data/2D_problems_1.jpg
  lowercase__    :      Optional[int]						=    array([[0, -20_00], [0, -12_00], [0, 1_56_00], [0, -1_24_00]])

  lowercase__    :      Optional[int]						=    array([[0, 0], [6, 0], [10, 0], [12, 0]])

  assert in_static_equilibrium(forces, location)

  import doctest

  doctest.testmod()