class_docstr: Benchmark that times performance of numexpr execution.
code: def time_numexpr_execution(self):
      for _ in range(100):
          a = mt.arange(1e6)
          b = mt.arange(1e6) * 0.1
          c = mt.sin(a) + mt.arcsinh(a / b)
          c.execute(show_progress=False)
          c = a * b - 4.1 * a > 2.5 * b
          c.execute(show_progress=False)
  
file_path: mars/benchmarks/asv_bench/benchmarks/execution.py
imports: import dataclasses
  import unittest.mock
  import mars.tensor
  from mars import new_session
  from mars.core.graph import TileableGraph, TileableGraphBuilder, ChunkGraphBuilder, ChunkGraph
  from mars.serialization import serialize
  from mars.services.task import new_task_id
  from mars.services.task.execution.ray import executor
label_desc: Use image node_id 3 for calling the NumExprExecutionSuite obj's underlying member method code with example usage: obj.time_numexpr_execution() without return types