
"""simple docstring"""







from typing import Dict, List, Optional

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


lowerCamelCase__        =		logging.get_logger(__name__)


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

# Unicode defines 1,114,112 total “codepoints”
lowerCamelCase__        =		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
lowerCamelCase__        =		0

lowerCamelCase__        =		0XE0_00
lowerCamelCase__        =		0XE0_01
lowerCamelCase__        =		0XE0_02
lowerCamelCase__        =		0XE0_03
lowerCamelCase__        =		0XE0_04

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




class 			A__	(     _lowerCamelCase):
		A_						:	int           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

		def __init__(				self	,		_SCREAMING_SNAKE_CASE=chr(_SCREAMING_SNAKE_CASE			)	,		_SCREAMING_SNAKE_CASE=chr(_SCREAMING_SNAKE_CASE			)	,		_SCREAMING_SNAKE_CASE=chr(_SCREAMING_SNAKE_CASE			)	,		_SCREAMING_SNAKE_CASE=chr(_SCREAMING_SNAKE_CASE			)	,		_SCREAMING_SNAKE_CASE=chr(_SCREAMING_SNAKE_CASE			)	,		_SCREAMING_SNAKE_CASE=chr(_SCREAMING_SNAKE_CASE			)	,		_SCREAMING_SNAKE_CASE=False	,		_SCREAMING_SNAKE_CASE=20_48	,		**_SCREAMING_SNAKE_CASE	,		):
			__lowerCAmelCase      :						Union[str, Any]						      =				AddedToken(_SCREAMING_SNAKE_CASE	,		lstrip=_SCREAMING_SNAKE_CASE	,		rstrip=_SCREAMING_SNAKE_CASE			) if isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			) else bos_token
			__lowerCAmelCase      :						Optional[Any]						      =				AddedToken(_SCREAMING_SNAKE_CASE	,		lstrip=_SCREAMING_SNAKE_CASE	,		rstrip=_SCREAMING_SNAKE_CASE			) if isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			) else eos_token
			__lowerCAmelCase      :						Any						      =				AddedToken(_SCREAMING_SNAKE_CASE	,		lstrip=_SCREAMING_SNAKE_CASE	,		rstrip=_SCREAMING_SNAKE_CASE			) if isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			) else sep_token
			__lowerCAmelCase      :						Union[str, Any]						      =				AddedToken(_SCREAMING_SNAKE_CASE	,		lstrip=_SCREAMING_SNAKE_CASE	,		rstrip=_SCREAMING_SNAKE_CASE			) if isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			) else cls_token
			__lowerCAmelCase      :						Any						      =				AddedToken(_SCREAMING_SNAKE_CASE	,		lstrip=_SCREAMING_SNAKE_CASE	,		rstrip=_SCREAMING_SNAKE_CASE			) if isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			) else pad_token

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

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

			# Creates a mapping for looking up the IDs of special symbols.
			__lowerCAmelCase      :						Dict[str, int]						      =				{}
			for codepoint, name in SPECIAL_CODEPOINTS.items():
				__lowerCAmelCase      :						Optional[int]						      =				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      :						List[Any]						      =				UNICODE_VOCAB_SIZE
			__lowerCAmelCase      :						List[str]						      =				len(self._special_codepoints			)

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

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			return list(_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			try:
				return ord(_SCREAMING_SNAKE_CASE			)
			except TypeError:
				raise ValueError(f"invalid token: '{token}'"			)

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

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			return "".join(_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = None			):
			__lowerCAmelCase      :						int						      =				[self.sep_token_id]
			__lowerCAmelCase      :						Dict						      =				[self.cls_token_id]

			__lowerCAmelCase      :						Optional[int]						      =				cls + token_ids_a + sep
			if token_ids_a is not None:
				result += token_ids_a + sep
			return result

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

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

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = None			):
			__lowerCAmelCase      :						Union[str, Any]						      =				[self.sep_token_id]
			__lowerCAmelCase      :						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 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = None			):
			return ()

"""simple docstring"""







import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate




@dataclass(frozen=_lowerCamelCase)
class 			A__	(     _lowerCamelCase):
		# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
		A_						:	str           =     field(default='text-classification'	,					metadata={'include_in_asdict_even_if_is_default': True})
		A_						:	ClassVar[Features]           =     Features({'text': Value('string')})
		A_						:	ClassVar[Features]           =     Features({'labels': ClassLabel})
		A_						:	str           =     "text"
		A_						:	str           =     "labels"

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			if self.label_column not in features:
				raise ValueError(f"Column {self.label_column} is not present in features."			)
			if not isinstance(features[self.label_column]	,		_SCREAMING_SNAKE_CASE			):
				raise ValueError(f"Column {self.label_column} is not a ClassLabel."			)
			__lowerCAmelCase      :						Any						      =				copy.deepcopy(self			)
			__lowerCAmelCase      :						Dict						      =				self.label_schema.copy()
			__lowerCAmelCase      :						List[Any]						      =				features[self.label_column]
			__lowerCAmelCase      :						Dict						      =				label_schema
			return task_template







		@property
		def 							__lowerCamelCase							(				self			):
			return {
			    self.text_column: "text",
			    self.label_column: "labels",
			}