old_contents: from llvmlite import ir
  
  from numba.core.datamodel.registry import register_default
  from numba.core.extending import register_model, models
  from numba.core import types
  from numba.cuda.types import Dim3, GridGroup, CUDADispatcher
  
  
  @register_model(Dim3)
  class Dim3Model(models.StructModel):
      def __init__(self, dmm, fe_type):
          members = [
              ('x', types.int32),
              ('y', types.int32),
              ('z', types.int32)
          ]
          super().__init__(dmm, fe_type, members)
  
  
  @register_model(GridGroup)
  class GridGroupModel(models.PrimitiveModel):
      def __init__(self, dmm, fe_type):
          be_type = ir.IntType(64)
          super().__init__(dmm, fe_type, be_type)
  
  
  @register_default(types.Float)
  class FloatModel(models.PrimitiveModel):
      def __init__(self, dmm, fe_type):
          if fe_type == types.float32:
              be_type = ir.FloatType()
          elif fe_type == types.float16:
              be_type = ir.IntType(16)
          elif fe_type == types.float64:
              be_type = ir.DoubleType()
          else:
              raise NotImplementedError(fe_type)
          super(FloatModel, self).__init__(dmm, fe_type, be_type)
  
  
  register_model(CUDADispatcher)(models.OpaqueModel)
  
new_contents: from llvmlite import ir
  
  from numba.core.datamodel.registry import register_default
  from numba.core.extending import register_model, models
  from numba.core import types
  from numba.cuda.types import Dim3, GridGroup, CUDADispatcher
  
  
  @register_model(Dim3)
  class Dim3Model(models.StructModel):
      def __init__(self, dmm, fe_type):
          members = [
              ('x', types.int32),
              ('y', types.int32),
              ('z', types.int32)
          ]
          super().__init__(dmm, fe_type, members)
  
  
  @register_model(GridGroup)
  class GridGroupModel(models.PrimitiveModel):
      def __init__(self, dmm, fe_type):
          be_type = ir.IntType(64)
          super().__init__(dmm, fe_type, be_type)
  
  
  @register_default(types.Float)
  class FloatModel(models.PrimitiveModel):
      def __init__(self, dmm, fe_type):
          if fe_type == types.float16:
              be_type = ir.IntType(16)
          elif fe_type == types.float32:
              be_type = ir.FloatType()
          elif fe_type == types.float64:
              be_type = ir.DoubleType()
          else:
              raise NotImplementedError(fe_type)
          super(FloatModel, self).__init__(dmm, fe_type, be_type)
  
  
  register_model(CUDADispatcher)(models.OpaqueModel)
  
subject: Reorder FloatModel checks in ascending order