'''simple docstring'''




from typing import Dict, List, Optional

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


_lowercase						: Optional[int]						=						logging.get_logger(__name__)


_lowercase						: Optional[int]						=						{
    "nielsr/canine-s": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
_lowercase						: List[str]						=						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						: Optional[int]						=						0

_lowercase						: int						=						0xE_0_0_0
_lowercase						: List[Any]						=						0xE_0_0_1
_lowercase						: Dict						=						0xE_0_0_2
_lowercase						: Optional[Any]						=						0xE_0_0_3
_lowercase						: Optional[int]						=						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     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







			def __init__(	self				:  str				,			lowercase_				:  Optional[Any]=chr(lowercase_    )				,			lowercase_				:  Tuple=chr(lowercase_    )				,			lowercase_				:  Dict=chr(lowercase_    )				,			lowercase_				:  Dict=chr(lowercase_    )				,			lowercase_				:  List[str]=chr(lowercase_    )				,			lowercase_				:  Union[str, Any]=chr(lowercase_    )				,			lowercase_				:  Union[str, Any]=False				,			lowercase_				:  List[str]=2048				,			**lowercase_				:  str				,			):
										lowercase_					:			Any										=       AddedToken(lowercase_				,			lstrip=lowercase_				,			rstrip=lowercase_    ) if isinstance(lowercase_				,			lowercase_    ) else bos_token
										lowercase_					:			Dict										=       AddedToken(lowercase_				,			lstrip=lowercase_				,			rstrip=lowercase_    ) if isinstance(lowercase_				,			lowercase_    ) else eos_token
										lowercase_					:			int										=       AddedToken(lowercase_				,			lstrip=lowercase_				,			rstrip=lowercase_    ) if isinstance(lowercase_				,			lowercase_    ) else sep_token
										lowercase_					:			List[str]										=       AddedToken(lowercase_				,			lstrip=lowercase_				,			rstrip=lowercase_    ) if isinstance(lowercase_				,			lowercase_    ) else cls_token
										lowercase_					:			List[Any]										=       AddedToken(lowercase_				,			lstrip=lowercase_				,			rstrip=lowercase_    ) if isinstance(lowercase_				,			lowercase_    ) else pad_token

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

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

										# Creates a mapping for looking up the IDs of special symbols.
										lowercase_					:			Dict[str, int]										=       {}
										for codepoint, name in SPECIAL_CODEPOINTS.items():
																	lowercase_					:			List[str]										=       codepoint

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

										lowercase_					:			str										=       UNICODE_VOCAB_SIZE
										lowercase_					:			str										=       len(self._special_codepoints    )







			@property
			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]    ):
										return self._unicode_vocab_size







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int				,			lowercase_				:  str    ):
										return list(lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]				,			lowercase_				:  str    ):
										try:
																	return ord(lowercase_    )
										except TypeError:
																	raise ValueError(f'''invalid token: \'{token}\''''    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]				,			lowercase_				:  int    ):
										try:
																	if index in SPECIAL_CODEPOINTS:
																								return SPECIAL_CODEPOINTS[index]
																	return chr(lowercase_    )
										except TypeError:
																	raise ValueError(f'''invalid id: {index}'''    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  str    ):
										return "".join(lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]				,			lowercase_				:  List[int]				,			lowercase_				:  Optional[List[int]] = None    ):
										lowercase_					:			Optional[Any]										=       [self.sep_token_id]
										lowercase_					:			Any										=       [self.cls_token_id]

										lowercase_					:			List[Any]										=       cls + token_ids_a + sep
										if token_ids_a is not None:
																	result += token_ids_a + sep
										return result







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple				,			lowercase_				:  List[int]				,			lowercase_				:  Optional[List[int]] = None				,			lowercase_				:  bool = False    ):
										if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=lowercase_				,			token_ids_a=lowercase_				,			already_has_special_tokens=lowercase_    )

										lowercase_					:			Optional[int]										=       [1] + ([0] * len(lowercase_    )) + [1]
										if token_ids_a is not None:
																	result += ([0] * len(lowercase_    )) + [1]
										return result







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple				,			lowercase_				:  List[int]				,			lowercase_				:  Optional[List[int]] = None    ):
										lowercase_					:			List[Any]										=       [self.sep_token_id]
										lowercase_					:			List[str]										=       [self.cls_token_id]

										lowercase_					:			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 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]				,			lowercase_				:  str				,			lowercase_				:  Optional[str] = None    ):
										return ()






'''simple docstring'''




from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase						: Dict						=						{"configuration_mmbt": ["MMBTConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowercase						: Dict						=						["MMBTForClassification", "MMBTModel", "ModalEmbeddings"]


if TYPE_CHECKING:
						from .configuration_mmbt import MMBTConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
						import sys

						_lowercase						: Optional[int]						=						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





