





"""simple docstring"""


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

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



@dataclass(frozen=_SCREAMING_SNAKE_CASE   )
class      __SCREAMING_SNAKE_CASE    (						_SCREAMING_SNAKE_CASE   ):
  SCREAMING_SNAKE_CASE__							:str	     =					field(default="language-modeling"		,  metadata={"include_in_asdict_even_if_is_default": True}   )

  SCREAMING_SNAKE_CASE__							:ClassVar[Features]	     =					Features({"text": Value("string"   )}   )
  SCREAMING_SNAKE_CASE__							:ClassVar[Features]	     =					Features({}   )
  SCREAMING_SNAKE_CASE__							:str	     =					"text"

  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       Optional[int]	)		->				Dict[str, str]:
        return {self.text_column: "text"}







"""simple docstring"""


lowerCamelCase__				  =   "\n# Installazione di Transformers\n! pip install transformers datasets\n# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e\n# rimuovi la modalità commento al comando seguente.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

lowerCamelCase__				  =   [{"type": "code", "content": INSTALL_CONTENT}]
lowerCamelCase__				  =   {
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}
