code: def execute(cls, ctx, op):
      if op.sparse:
          cls.execute_sparse(ctx, op)
      else:
          super().execute(ctx, op)
  
file_path: mars/mars/tensor/random/randint.py
imports: import numpy
  from ...None import opcodes
  from ...serialization.serializables import Int64Field, Float64Field
  from ..array_utils import array_module
  from ..utils import gen_random_seeds
  from .core import TensorRandomOperandMixin, TensorSimpleRandomData
label_desc: Use image node_id 2 for calling the TensorRandint obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types