





"""simple docstring"""






from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
		from .features import FeatureType




@dataclass
class 				__lowercase			:







					'''simple docstring'''




					__lowerCAmelCase  =  42
					__lowerCAmelCase  =  None
					# Automatically constructed
					__lowerCAmelCase  =  "dict"
					__lowerCAmelCase  =  None
					__lowerCAmelCase  =  field(default='''Translation'''   ,      init=_UpperCamelCase   ,      repr=_UpperCamelCase							)







					def __call__(						self     ):
									return pa.struct({lang: pa.string() for lang in sorted(self.languages     )}     )







					def  _lowerCamelCase		(						self     ):
									from .features import Value

									return {k: Value('''string'''     ) for k in sorted(self.languages     )}






@dataclass
class 				__lowercase			:







					'''simple docstring'''




					__lowerCAmelCase  =  None
					__lowerCAmelCase  =  None
					__lowerCAmelCase  =  None
					# Automatically constructed
					__lowerCAmelCase  =  "dict"
					__lowerCAmelCase  =  None
					__lowerCAmelCase  =  field(default='''TranslationVariableLanguages'''   ,      init=_UpperCamelCase   ,      repr=_UpperCamelCase							)







					def  _lowerCamelCase		(						self     ):
									__a :						int			       =  sorted(set(self.languages     )     ) if self.languages else None
									__a :						Optional[int]			       =  len(self.languages     ) if self.languages else None







					def __call__(						self     ):
									return pa.struct({'''language''': pa.list_(pa.string()     ), '''translation''': pa.list_(pa.string()     )}     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									__a :						List[Any]			       =  set(self.languages     )
									if self.languages and set(_UpperCAmelCase     ) - lang_set:
													raise ValueError(
													    f"""Some languages in example ({", ".join(sorted(set(_UpperCAmelCase     ) - lang_set     )     )}) are not in valid set ({", ".join(_UpperCAmelCase     )})."""     )

									# Convert dictionary into tuples, splitting out cases where there are
									# multiple translations for a single language.
									__a :						Union[str, Any]			       =  []
									for lang, text in translation_dict.items():
													if isinstance(_UpperCAmelCase	,			_UpperCAmelCase     ):
																	translation_tuples.append((lang, text)     )
													else:
																	translation_tuples.extend([(lang, el) for el in text]     )

        # Ensure translations are in ascending order by language code.
									__a       ,						__a :						Optional[Any]			       =  zip(*sorted(_UpperCAmelCase     )     )

									return {"language": languages, "translation": translations}







					def  _lowerCamelCase		(						self     ):
									from .features import Sequence, Value

									return {
									    "language": Sequence(Value('''string'''     )     ),
									    "translation": Sequence(Value('''string'''     )     ),
									}






"""simple docstring"""






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

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




@dataclass(frozen=_UpperCamelCase							)
class 				__lowercase			(			_UpperCamelCase							):







					'''simple docstring'''




					__lowerCAmelCase  =  field(default='''language-modeling'''   ,      metadata={'''include_in_asdict_even_if_is_default''': True}							)

					__lowerCAmelCase  =  Features({'''text''': Value('''string'''							)}							)
					__lowerCAmelCase  =  Features({}							)
					__lowerCAmelCase  =  "text"







					@property
					def  _lowerCamelCase		(						self     ):
									return {self.text_column: "text"}