code: def execute(cls, ctx, op):
      n, d = op.n, op.d
      x = ctx[op.inputs[0].key].copy()
      x[x >= (n + 1) // 2] -= n
      x /= n * d
      ctx[op.outputs[0].key] = x
  
imports: import numpy
  from ...None import opcodes
  from ...core import NotSupportTile, recursive_tile
  from ...serialization.serializables import Int32Field, Float64Field, KeyField
  from ..operands import TensorOperand, TensorHasInput, TensorOperandMixin
  from ..datasource import arange
  from ..core import TensorOrder
label_desc: Use image node_id 6 for calling the TensorFFTFreqChunk obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types