
'''simple docstring'''


from typing import Dict, List, Optional

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


__lowercase							:   Dict					=     logging.get_logger(__name__)


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

# Unicode defines 1,114,112 total “codepoints”
__lowercase							:   Dict					=     1114112

# 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							:   Any					=     0

__lowercase							:   Dict					=     0XE_0_0_0
__lowercase							:   Tuple					=     0XE_0_0_1
__lowercase							:   Union[str, Any]					=     0XE_0_0_2
__lowercase							:   Tuple					=     0XE_0_0_3
__lowercase							:   Optional[Any]					=     0XE_0_0_4

# Maps special codepoints to human-readable names.
__lowercase							:   Dict[int, str]					=     {
    # 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							:   Dict[str, int]					=     {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}

class 	__lowercase				(  _lowercase    ):
			lowerCamelCase			:		int	      =			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=2_0_4_8			,   **A			,   ):
								lowerCamelCase_					:      Any     =		AddedToken(A			,   lstrip=A			,   rstrip=A      ) if isinstance(A			,   A      ) else bos_token
								lowerCamelCase_					:      Any     =		AddedToken(A			,   lstrip=A			,   rstrip=A      ) if isinstance(A			,   A      ) else eos_token
								lowerCamelCase_					:      Optional[int]     =		AddedToken(A			,   lstrip=A			,   rstrip=A      ) if isinstance(A			,   A      ) else sep_token
								lowerCamelCase_					:      List[str]     =		AddedToken(A			,   lstrip=A			,   rstrip=A      ) if isinstance(A			,   A      ) else cls_token
								lowerCamelCase_					:      Union[str, Any]     =		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
								lowerCamelCase_					:      List[Any]     =		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.
								lowerCamelCase_					:      Dict[str, int]     =		{}
								for codepoint, name in SPECIAL_CODEPOINTS.items():
													lowerCamelCase_					:      Union[str, Any]     =		codepoint

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

								lowerCamelCase_					:      int     =		UNICODE_VOCAB_SIZE
								lowerCamelCase_					:      Tuple     =		len(self._special_codepoints      )

			@property
			def        UpperCAmelCase__ (self      ):
								return self._unicode_vocab_size

			def        UpperCAmelCase__ (self			,   A      ):
								return list(A      )

			def        UpperCAmelCase__ (self			,   A      ):
								try:
													return ord(A      )
								except TypeError:
													raise ValueError(F"""invalid token: '{token}'"""      )

			def        UpperCAmelCase__ (self			,   A      ):
								try:
													if index in SPECIAL_CODEPOINTS:
																		return SPECIAL_CODEPOINTS[index]
													return chr(A      )
								except TypeError:
													raise ValueError(F"""invalid id: {index}"""      )

			def        UpperCAmelCase__ (self			,   A      ):
								return "".join(A      )

			def        UpperCAmelCase__ (self			,   A			,   A = None      ):
								lowerCamelCase_					:      Union[str, Any]     =		[self.sep_token_id]
								lowerCamelCase_					:      Tuple     =		[self.cls_token_id]

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

			def        UpperCAmelCase__ (self			,   A			,   A = None			,   A = False      ):
								if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=A			,   token_ids_a=A			,   already_has_special_tokens=A      )

								lowerCamelCase_					:      str     =		[1] + ([0] * len(A      )) + [1]
								if token_ids_a is not None:
													result += ([0] * len(A      )) + [1]
								return result

			def        UpperCAmelCase__ (self			,   A			,   A = None      ):
								lowerCamelCase_					:      Any     =		[self.sep_token_id]
								lowerCamelCase_					:      List[str]     =		[self.cls_token_id]

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






			def        UpperCAmelCase__ (self			,   A			,   A = None      ):
								return ()




'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


__lowercase							:   List[Any]					=     {}


try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowercase							:   List[Any]					=     ['''MLukeTokenizer''']

if TYPE_CHECKING:
					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_mluke import MLukeTokenizer


else:
					import sys

					__lowercase							:   List[str]					=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


