



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

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






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



	def 		UpperCamelCase							(						self							:    Tuple				,	snake_case_							:    Optional[Any])->							Optional[Any]:
						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]				,	snake_case_):
											raise ValueError(F"""Column {self.label_column} is not a ClassLabel.""")
						__lowerCAmelCase	   =copy.deepcopy(self)
						__lowerCAmelCase	   =self.label_schema.copy()
						__lowerCAmelCase	   =features[self.label_column]
						__lowerCAmelCase	   =label_schema
						return task_template



	@property
	def 		UpperCamelCase							(						self							:    str)->							Dict[str, str]:
						return {
						    self.text_column: "text",
						    self.label_column: "labels",
						}









import os
from typing import Dict, List, Tuple, TypeVar, Union


lowercase_	       =			TypeVar('''T''')

lowercase_	       =			Union[List[T], Tuple[T, ...]]
lowercase_	       =			Union[T, List[T], Dict[str, T]]
lowercase_	       =			Union[str, bytes, os.PathLike]




