

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 SCREAMING_SNAKE_CASE     :
  """simple docstring"""






  lowerCamelCase   :      List[str]
  lowerCamelCase   :      Optional[str]										=None
  # Automatically constructed
  lowerCamelCase   :      ClassVar[str]										="dict"
  lowerCamelCase   :      ClassVar[Any]										=None
  lowerCamelCase   :      str										=field(default="Translation"       ,							init=_UpperCamelCase       ,							repr=_UpperCamelCase			)







  def __call__(      self			:   Tuple   )							->     List[str]:






     """simple docstring"""







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







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[str]   )							->     Union["FeatureType", Dict[str, "FeatureType"]]:






     """simple docstring"""







     from .features import Value

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






@dataclass
class SCREAMING_SNAKE_CASE     :
  """simple docstring"""






  lowerCamelCase   :      Optional[List]										=None
  lowerCamelCase   :      Optional[int]										=None
  lowerCamelCase   :      Optional[str]										=None
  # Automatically constructed
  lowerCamelCase   :      ClassVar[str]										="dict"
  lowerCamelCase   :      ClassVar[Any]										=None
  lowerCamelCase   :      str										=field(default="TranslationVariableLanguages"       ,							init=_UpperCamelCase       ,							repr=_UpperCamelCase			)







  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     Optional[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      Any    =						sorted(set(self.languages   )   ) if self.languages else None
     __lowerCAmelCase  :      Any    =						len(self.languages   ) if self.languages else None







  def __call__(      self			:   List[str]   )							->     Optional[int]:






     """simple docstring"""







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







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[str]	,							lowerCAmelCase			:   Dict   )							->     int:






     """simple docstring"""







     __lowerCAmelCase  :      Union[str, Any]    =						set(self.languages   )
     if self.languages and set(_SCREAMING_SNAKE_CASE   ) - lang_set:
        raise ValueError(
            f'''Some languages in example ({', '.join(sorted(set(_SCREAMING_SNAKE_CASE   ) - lang_set   )   )}) are not in valid set ({', '.join(_SCREAMING_SNAKE_CASE   )}).'''   )

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

        # Ensure translations are in ascending order by language code.
     __lowerCAmelCase   ,__lowerCAmelCase  :      Optional[int]    =						zip(*sorted(_SCREAMING_SNAKE_CASE   )   )

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







  def 	SCREAMING_SNAKE_CASE   (      self			:   str   )							->     Union["FeatureType", Dict[str, "FeatureType"]]:






     """simple docstring"""







     from .features import Sequence, Value

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





__UpperCAmelCase								=			"""
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

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


