


from typing import Dict, List, Optional

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


_A		       =						logging.get_logger(__name__)


_A		       =						{
    'nielsr/canine-s': 2048,
}

# Unicode defines 1,114,112 total “codepoints”
_A		       =						111_4112

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

_A		       =						0xe_0_0_0
_A		       =						0xe_0_0_1
_A		       =						0xe_0_0_2
_A		       =						0xe_0_0_3
_A		       =						0xe_0_0_4

# Maps special codepoints to human-readable names.
_A		       =						{
    # 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.
_A		       =						{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}






class     UpperCAmelCase__       (					A_		):



    """simple docstring"""






    UpperCAmelCase__						:		List[Any]      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






    def __init__(			self					,   A_=chr(A_    )					,   A_=chr(A_    )					,   A_=chr(A_    )					,   A_=chr(A_    )					,   A_=chr(A_    )					,   A_=chr(A_    )					,   A_=False					,   A_=2048					,   **A_					,   )  ->       str:
         __UpperCamelCase    							=AddedToken(A_					,   lstrip=A_					,   rstrip=A_    ) if isinstance(A_					,   A_    ) else bos_token
         __UpperCamelCase    							=AddedToken(A_					,   lstrip=A_					,   rstrip=A_    ) if isinstance(A_					,   A_    ) else eos_token
         __UpperCamelCase    							=AddedToken(A_					,   lstrip=A_					,   rstrip=A_    ) if isinstance(A_					,   A_    ) else sep_token
         __UpperCamelCase    							=AddedToken(A_					,   lstrip=A_					,   rstrip=A_    ) if isinstance(A_					,   A_    ) else cls_token
         __UpperCamelCase    							=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
         __UpperCamelCase    							=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.
         __UpperCamelCase    							={}
         for codepoint, name in SPECIAL_CODEPOINTS.items():
              __UpperCamelCase    							=codepoint

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

         __UpperCamelCase    							=UNICODE_VOCAB_SIZE
         __UpperCamelCase    							=len(self._special_codepoints    )






    @property
    def _a					(			self    )  ->       int:
         return self._unicode_vocab_size






    def _a					(			self					,   A_    )  ->       List[str]:
         return list(A_    )






    def _a					(			self					,   A_    )  ->       int:
         try:
              return ord(A_    )
         except TypeError:
              raise ValueError(f'invalid token: \'{token}\''    )






    def _a					(			self					,   A_    )  ->       str:
         try:
              if index in SPECIAL_CODEPOINTS:
                   return SPECIAL_CODEPOINTS[index]
              return chr(A_    )
         except TypeError:
              raise ValueError(f'invalid id: {index}'    )






    def _a					(			self					,   A_    )  ->       List[str]:
         return "".join(A_    )






    def _a					(			self					,   A_					,   A_ = None    )  ->       List[int]:
         __UpperCamelCase    							=[self.sep_token_id]
         __UpperCamelCase    							=[self.cls_token_id]

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






    def _a					(			self					,   A_					,   A_ = None					,   A_ = False    )  ->       List[int]:
         if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=A_					,   token_ids_a=A_					,   already_has_special_tokens=A_    )

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






    def _a					(			self					,   A_					,   A_ = None    )  ->       List[int]:
         __UpperCamelCase    							=[self.sep_token_id]
         __UpperCamelCase    							=[self.cls_token_id]

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






    def _a					(			self					,   A_					,   A_ = None    )  ->       List[Any]:
         return ()









from numpy import exp, pi, sqrt

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					Tuple			,     SCREAMING_SNAKE_CASE__			:					float = 0.0			,     SCREAMING_SNAKE_CASE__			:					float = 1.0				):
     return 1 / sqrt(2 * pi * sigma**2				) * exp(-((x - mu) ** 2) / (2 * sigma**2)				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()





