


"""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


lowerCAmelCase__				    =       logging.get_logger(__name__)

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

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


class 				SCREAMING_SNAKE_CASE__    (		lowercase    ):
       """simple docstring"""


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






         """simple docstring"""





         lowerCAmelCase					:					Dict								=							AddedToken(snake_case__		,					lstrip=snake_case__		,					rstrip=snake_case__						) if isinstance(snake_case__		,					snake_case__						) else mask_token

         lowerCAmelCase					:					Optional[int]								=							{} if sp_model_kwargs is None else sp_model_kwargs

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

         lowerCAmelCase					:					Optional[int]								=							3

         lowerCAmelCase					:					Tuple								=							do_lower_case
         lowerCAmelCase					:					int								=							remove_space
         lowerCAmelCase					:					List[str]								=							keep_accents
         lowerCAmelCase					:					int								=							vocab_file

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

         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."						)
         lowerCAmelCase					:					Any								=							jieba
         lowerCAmelCase					:					Union[str, Any]								=							str.maketrans(" \n"		,					"\u2582\u2583"						)

       @property
       # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
       def 	lowercase__							(						self						):






         """simple docstring"""





         return len(self.sp_model						)

       def 	lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase					:					int								=							{self.convert_ids_to_tokens(snake_case__						): i for i in range(self.vocab_size						)}
         vocab.update(self.added_tokens_encoder						)
         return vocab

       def __getstate__(						self						):






         """simple docstring"""





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

       def __setstate__(						self		,					snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					List[str]								=							d

         # for backward compatibility
         if not hasattr(self		,					"sp_model_kwargs"						):
           lowerCAmelCase					:					Optional[Any]								=							{}

         lowerCAmelCase					:					Optional[int]								=							spm.SentencePieceProcessor(**self.sp_model_kwargs						)
         self.sp_model.Load(self.vocab_file						)

       def 	lowercase__							(						self		,					snake_case__						):






         """simple docstring"""





         if self.remove_space:
           lowerCAmelCase					:					str								=							" ".join(inputs.strip().split()						)
         else:
           lowerCAmelCase					:					Any								=							inputs
         lowerCAmelCase					:					List[Any]								=							outputs.replace("``"		,					"\""						).replace("''"		,					"\""						)

         if not self.keep_accents:
           lowerCAmelCase					:					List[str]								=							unicodedata.normalize("NFKD"		,					snake_case__						)
           lowerCAmelCase					:					Optional[int]								=							"".join([c for c in outputs if not unicodedata.combining(snake_case__						)]						)
         if self.do_lower_case:
           lowerCAmelCase					:					Any								=							outputs.lower()

         return outputs

       def 	lowercase__							(						self		,					snake_case__						):






         """simple docstring"""





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

         return new_pieces

       def 	lowercase__							(						self		,					snake_case__						):






         """simple docstring"""





         return self.sp_model.PieceToId(snake_case__						)

       def 	lowercase__							(						self		,					snake_case__						):






         """simple docstring"""





         return self.sp_model.IdToPiece(snake_case__						)

       def 	lowercase__							(						self		,					snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					List[Any]								=							"".join(snake_case__						).replace(snake_case__		,					" "						).strip()
         return out_string

       def 	lowercase__							(						self		,					snake_case__		,					snake_case__ = None						):






         """simple docstring"""





         lowerCAmelCase					:					Any								=							[self.sep_token_id]
         lowerCAmelCase					:					Tuple								=							[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		,					snake_case__		,					snake_case__ = None		,					snake_case__ = False						):






         """simple docstring"""





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

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

       def 	lowercase__							(						self		,					snake_case__		,					snake_case__ = None						):






         """simple docstring"""





         lowerCAmelCase					:					Union[str, Any]								=							[self.sep_token_id]
         lowerCAmelCase					:					Union[str, Any]								=							[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		,					snake_case__		,					snake_case__ = None						):






         """simple docstring"""





         if not os.path.isdir(snake_case__						):
           logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""						)
           return
         lowerCAmelCase					:					str								=							os.path.join(
             snake_case__		,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

         if os.path.abspath(self.vocab_file						) != os.path.abspath(snake_case__						) and os.path.isfile(self.vocab_file						):
           copyfile(self.vocab_file		,					snake_case__						)
         elif not os.path.isfile(self.vocab_file						):
           with open(snake_case__		,					"wb"						) as fi:
             lowerCAmelCase					:					Optional[Any]								=							self.sp_model.serialized_model_proto()
             fi.write(snake_case__						)

         return (out_vocab_file,)







       def 	lowercase__							(						self		,					*snake_case__		,					**snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[int]								=							super()._decode(*snake_case__		,					**snake_case__						)
         lowerCAmelCase					:					Dict								=							text.replace(" "		,					""						).replace("\u2582"		,					" "						).replace("\u2583"		,					"\n"						)
         return text









"""simple docstring"""







from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase__				    =       1.0_5_4_5_7_1_8_1_7e-3_4  # unit of ℏ : J * s

lowerCAmelCase__				    =       3e8  # unit of c : m * s^-1
def  a__      (    SCREAMING_SNAKE_CASE   :   float    ,				SCREAMING_SNAKE_CASE   :   float    ,				SCREAMING_SNAKE_CASE   :   float    ):


  '''simple docstring'''







  if (force, area, distance).count(0    ) != 1:
    raise ValueError("One and only one argument must be 0"    )
  if force < 0:
    raise ValueError("Magnitude of force can not be negative"    )
  if distance < 0:
    raise ValueError("Distance can not be negative"    )
  if area < 0:
    raise ValueError("Area can not be negative"    )
  if force == 0:
    lowerCAmelCase					:					Any								=							(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
        2_4_0 * (distance) ** 4
    )
    return {"force": force}
  elif area == 0:
    lowerCAmelCase					:					Any								=							(2_4_0 * force * (distance) ** 4) / (
        REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
    )
    return {"area": area}
  elif distance == 0:
    lowerCAmelCase					:					Dict								=							(
        (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_4_0 * force)
    ) ** (1 / 4)
    return {"distance": distance}
  raise ValueError("One and only one argument must be 0"    )


# Run doctest
if __name__ == "__main__":
     import doctest

     doctest.testmod()





