class_docstr: For decoding scalar fields
  
  This Decoder can be extend to decode any fixed length numpy data type
class_docstr_tok: ["For","decoding","scalar","fields","This","Decoder","can","be","extend","to","decode","any","fixed","length","numpy","data","type"]
code: def generate_code(self) -> Callable:
      def decoder(indices, destination, metadata, storage_state):
          for ix, sample_id in enumerate(indices):
              destination[ix] = metadata[sample_id]
          return destination[: len(indices)]
  
      return decoder
  
imports: from typing import Callable, TYPE_CHECKING, Tuple, Type
  from dataclasses import replace
  import numpy
  from .base import Field, ARG_TYPE
  from ..pipeline.operation import Operation
  from ..pipeline.state import State
  from ..pipeline.allocation_query import AllocationQuery
label_desc: Use image node_id 2 for calling the BasicDecoder obj's underlying member method code with example usage: obj.generate_code() and returns: decoder, destination