





from typing import Dict, List, Optional

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


lowercase_					     =	logging.get_logger(__name__)


lowercase_					     =	{
    """nielsr/canine-s""": 2_048,
}

# Unicode defines 1,114,112 total “codepoints”
lowercase_					     =	1_114_112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
lowercase_					     =	0

lowercase_					     =	0xE000
lowercase_					     =	0xE001
lowercase_					     =	0xE002
lowercase_					     =	0xE003
lowercase_					     =	0xE004

# Maps special codepoints to human-readable names.
lowercase_					     =	{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
lowercase_					     =	{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}
class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):
   _UpperCamelCase					:	Any				      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


   def __init__(					self    :       Optional[Any]    ,  a    :       Optional[Any]=chr(a )    ,  a    :       Dict=chr(a )    ,  a    :       Any=chr(a )    ,  a    :       Union[str, Any]=chr(a )    ,  a    :       Optional[Any]=chr(a )    ,  a    :       Any=chr(a )    ,  a    :       Optional[int]=False    ,  a    :       List[Any]=2_048    ,  **a    :       Tuple    ,  )->     Tuple:





     """simple docstring"""







     lowercase__			    =						AddedToken(a    ,  lstrip=a    ,  rstrip=a ) if isinstance(a    ,  a ) else bos_token
     lowercase__			    =						AddedToken(a    ,  lstrip=a    ,  rstrip=a ) if isinstance(a    ,  a ) else eos_token
     lowercase__			    =						AddedToken(a    ,  lstrip=a    ,  rstrip=a ) if isinstance(a    ,  a ) else sep_token
     lowercase__			    =						AddedToken(a    ,  lstrip=a    ,  rstrip=a ) if isinstance(a    ,  a ) else cls_token
     lowercase__			    =						AddedToken(a    ,  lstrip=a    ,  rstrip=a ) if isinstance(a    ,  a ) else pad_token

     # Mask token behave like a normal word, i.e. include the space before it
     lowercase__			    =						AddedToken(a    ,  lstrip=a    ,  rstrip=a ) if isinstance(a    ,  a ) else mask_token

     super().__init__(
         bos_token=a    ,  eos_token=a    ,  sep_token=a    ,  cls_token=a    ,  pad_token=a    ,  mask_token=a    ,  add_prefix_space=a    ,  model_max_length=a    ,  **a    ,  )

     # Creates a mapping for looking up the IDs of special symbols.
     lowercase__			    =						{}
     for codepoint, name in SPECIAL_CODEPOINTS.items():
       lowercase__			    =						codepoint

     # Creates a mapping for looking up the string forms of special symbol IDs.
     lowercase__			    =						{
         codepoint: name for name, codepoint in self._special_codepoints.items()
     }

     lowercase__			    =						UNICODE_VOCAB_SIZE
     lowercase__			    =						len(self._special_codepoints )


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       int )->     int:





     """simple docstring"""







     return self._unicode_vocab_size


   def  SCREAMING_SNAKE_CASE_							(					self    :       int    ,  a    :       str )->     List[str]:





     """simple docstring"""







     return list(a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int]    ,  a    :       str )->     int:





     """simple docstring"""







     try:
       return ord(a )
     except TypeError:
       raise ValueError(f"""invalid token: '{token}'""" )


   def  SCREAMING_SNAKE_CASE_							(					self    :       int    ,  a    :       int )->     str:





     """simple docstring"""







     try:
       if index in SPECIAL_CODEPOINTS:
         return SPECIAL_CODEPOINTS[index]
       return chr(a )
     except TypeError:
       raise ValueError(f"""invalid id: {index}""" )


   def  SCREAMING_SNAKE_CASE_							(					self    :       str    ,  a    :       List[Any] )->     Tuple:





     """simple docstring"""







     return "".join(a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  a    :       List[int]    ,  a    :       Optional[List[int]] = None )->     List[int]:





     """simple docstring"""







     lowercase__			    =						[self.sep_token_id]
     lowercase__			    =						[self.cls_token_id]

     lowercase__			    =						cls + token_ids_a + sep
     if token_ids_a is not None:
       result += token_ids_a + sep
     return result


   def  SCREAMING_SNAKE_CASE_							(					self    :       str    ,  a    :       List[int]    ,  a    :       Optional[List[int]] = None    ,  a    :       bool = False )->     List[int]:





     """simple docstring"""







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

     lowercase__			    =						[1] + ([0] * len(a )) + [1]
     if token_ids_a is not None:
       result += ([0] * len(a )) + [1]
     return result


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  a    :       List[int]    ,  a    :       Optional[List[int]] = None )->     List[int]:





     """simple docstring"""







     lowercase__			    =						[self.sep_token_id]
     lowercase__			    =						[self.cls_token_id]

     lowercase__			    =						len(cls + token_ids_a + sep ) * [0]
     if token_ids_a is not None:
       result += len(token_ids_a + sep ) * [1]
     return result


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int]    ,  a    :       str    ,  a    :       Optional[str] = None )->     Tuple:





     """simple docstring"""







     return ()









from __future__ import annotations

import math
from collections.abc import Callable




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = 100	,		)       ->     float:
  lowercase__			    =						x_start
  lowercase__			    =						fnc(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						0.0

  for _ in range(_SCREAMING_SNAKE_CASE	):
    # Approximates curve as a sequence of linear lines and sums their length
    lowercase__			    =						(x_end - x_start) / steps + xa
    lowercase__			    =						fnc(_SCREAMING_SNAKE_CASE	)
    length += math.hypot(xa - xa	,		fxa - fxa	)

    # Increment step
    lowercase__			    =						xa
    lowercase__			    =						fxa

  return length


if __name__ == "__main__":




      def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     str:
        return math.sin(10 * x	)

      print("""f(x) = sin(10 * x)""")
      print("""The length of the curve from x = -10 to x = 10 is:""")
      lowercase_					     =	10
      while i <= 100_000:
            print(f'''With {i} steps: {line_length(f, -10, 10, i)}''')
            i *= 10


