





from typing import TYPE_CHECKING

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


_lowerCamelCase 					=      {
    'configuration_canine': ['CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CanineConfig'],
    'tokenization_canine': ['CanineTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase 					=      [
	    'CANINE_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'CanineForMultipleChoice',
	    'CanineForQuestionAnswering',
	    'CanineForSequenceClassification',
	    'CanineForTokenClassification',
	    'CanineLayer',
	    'CanineModel',
	    'CaninePreTrainedModel',
	    'load_tf_weights_in_canine',
	]


if TYPE_CHECKING:
	from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
	from .tokenization_canine import CanineTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_canine import (
		    CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    CanineForMultipleChoice,
		    CanineForQuestionAnswering,
		    CanineForSequenceClassification,
		    CanineForTokenClassification,
		    CanineLayer,
		    CanineModel,
		    CaninePreTrainedModel,
		    load_tf_weights_in_canine,
		)


else:
	import sys

	_lowerCamelCase 					=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






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

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




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


							def   _snake_case	(				self     :Any				,					__A     :Dict		) -> Optional[Any]:



									"""simple docstring"""



									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]				,					__A		):
											raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''		)
									SCREAMING_SNAKE_CASE__								=   copy.deepcopy(self		)
									SCREAMING_SNAKE_CASE__								=   self.label_schema.copy()
									SCREAMING_SNAKE_CASE__								=   features[self.label_column]
									SCREAMING_SNAKE_CASE__								=   label_schema
									return task_template


							@property
							def   _snake_case	(				self     :str		) -> Dict[str, str]:



									"""simple docstring"""



									return {
									    self.text_column: "text",
									    self.label_column: "labels",
									}