code: def table_aggregate_approx_cdf(mt_path):
      mt = hl.read_matrix_table(mt_path)
      mt.aggregate_entries(
          (
              hl.agg.approx_cdf(mt.x),
              hl.agg.approx_cdf(mt.x**2, k=500),
              hl.agg.approx_cdf(1 / mt.x, k=1000),
          )
      )
  
imports: from os import path
  from tempfile import TemporaryDirectory
  import hail
  from .resources import *
  from .utils import benchmark
label_desc: Use image node_id 26 for calling a global function with example usage: table_aggregate_approx_cdf(mt_path) without return types