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 declare_state_and_memory(
      self, previous_state: State
  ) -> Tuple[State, AllocationQuery]:
      my_shape = (1,)
      return (
          replace(
              previous_state,
              jit_mode=True,
              shape=my_shape,
              dtype=self.dtype,
          ),
          AllocationQuery(my_shape, dtype=self.dtype),
      )
  
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 1 for calling the BasicDecoder obj's underlying member method code with example usage: obj.declare_state_and_memory(previous_state) and returns: replace,  AllocationQuery