
def      _a     (   __UpperCamelCase       :  list	,__UpperCamelCase       :  list    ):
   lowerCAmelCase__ :    int				      =			len(__UpperCamelCase    )
   lowerCAmelCase__ :    int				      =			len(__UpperCamelCase    )
   lowerCAmelCase__ :    int				      =			(
       first_input_list_length
       if first_input_list_length > second_input_list_length
       else second_input_list_length
   )
   lowerCAmelCase__ :    list				      =			[]
   for char_count in range(__UpperCamelCase    ):
      if char_count < first_input_list_length:
         output_result_list.append(first_input_list[char_count]    )
      if char_count < second_input_list_length:
         output_result_list.append(second_input_list[char_count]    )

   return output_result_list


if __name__ == "__main__":
       print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)





import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


A__       :   Tuple   						=					TypeVar("""T""", bound="""TaskTemplate""")





@dataclass(frozen=__UpperCamelCase					)
class 						lowercase       (  abc.ABC					):
					# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
					__a					=    42
					__a					=    42
					__a					=    42
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__    ):
								"""simple docstring"""







								return copy.deepcopy(self    )
					@property
					def lowercase_			(		self    ):
								"""simple docstring"""







								return Features(**self.input_schema ,	**self.label_schema    )
					@property
					@abc.abstractmethod
					def lowercase_			(		self    ):
								"""simple docstring"""







								raise NotImplementedError
					@classmethod
					def lowercase_			(		cls ,	SCREAMING_SNAKE_CASE__    ):
								"""simple docstring"""







								lowerCAmelCase__ :    List[Any]				      =			{f.name for f in dataclasses.fields(cls    )}
								return cls(**{k: v for k, v in template_dict.items() if k in field_names}    )



