





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 				a			:
				SCREAMING_SNAKE_CASE__     :   List[Any]		      =     42
				SCREAMING_SNAKE_CASE__     :   Union[str, Any]		      =     None
				# Automatically constructed
				SCREAMING_SNAKE_CASE__     :   Optional[int]		      =     '''dict'''
				SCREAMING_SNAKE_CASE__     :   int		      =     None
				SCREAMING_SNAKE_CASE__     :   Tuple		      =     field(default='''Translation'''   ,init=UpperCAmelCase_   ,repr=UpperCAmelCase_			)






				def __call__(  self					):

										"""simple docstring"""




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






				def 			snake_case_    (  self					):

										"""simple docstring"""




										from .features import Value

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





@dataclass
class 				a			:
				SCREAMING_SNAKE_CASE__     :   Dict		      =     None
				SCREAMING_SNAKE_CASE__     :   Optional[Any]		      =     None
				SCREAMING_SNAKE_CASE__     :   Dict		      =     None
				# Automatically constructed
				SCREAMING_SNAKE_CASE__     :   Union[str, Any]		      =     '''dict'''
				SCREAMING_SNAKE_CASE__     :   Dict		      =     None
				SCREAMING_SNAKE_CASE__     :   int		      =     field(default='''TranslationVariableLanguages'''   ,init=UpperCAmelCase_   ,repr=UpperCAmelCase_			)






				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Dict           =   sorted(set(self.languages					)					) if self.languages else None
										__SCREAMING_SNAKE_CASE:				int           =   len(self.languages					) if self.languages else None






				def __call__(  self					):

										"""simple docstring"""




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






				def 			snake_case_    (  self			, _lowerCAmelCase					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				str           =   set(self.languages					)
										if self.languages and set(__a					) - lang_set:
																raise ValueError(
																    f"""Some languages in example ({", ".join(sorted(set(__a					) - lang_set					)					)}) are not in valid set ({", ".join(__a					)})."""					)

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

        # Ensure translations are in ascending order by language code.
										__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE:				Dict           =   zip(*sorted(__a					)					)

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






				def 			snake_case_    (  self					):

										"""simple docstring"""




										from .features import Sequence, Value

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








from __future__ import annotations

def      __lowercase(						UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		2
      lowerCamelCase             =		[]
      while i * i <= n:
            if n % i:
                  i += 1
            else:
                  n //= i
                  factors.append(UpperCAmelCase__			)
      if n > 1:
            factors.append(UpperCAmelCase__			)
      return factors


if __name__ == "__main__":
     import doctest

     doctest.testmod()