code: def test_split_proportionately(ray_start_regular_shared):
      ds = ray.data.range(10, parallelism=3)
  
      with pytest.raises(ValueError):
          ds.split_proportionately([])
  
      with pytest.raises(ValueError):
          ds.split_proportionately([-1])
  
      with pytest.raises(ValueError):
          ds.split_proportionately([0])
  
      with pytest.raises(ValueError):
          ds.split_proportionately([1])
  
      with pytest.raises(ValueError):
          ds.split_proportionately([0.5, 0.5])
  
      splits = ds.split_proportionately([0.5])
      r = [extract_values("id", s.take()) for s in splits]
      assert r == [[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]
  
      splits = ds.split_proportionately([0.2, 0.3])
      r = [extract_values("id", s.take()) for s in splits]
      assert r == [[0, 1], [2, 3, 4], [5, 6, 7, 8, 9]]
  
      splits = ds.split_proportionately([0.2, 0.3, 0.3])
      r = [extract_values("id", s.take()) for s in splits]
      assert r == [[0, 1], [2, 3, 4], [5, 6, 7], [8, 9]]
  
      splits = ds.split_proportionately([0.98, 0.01])
      r = [extract_values("id", s.take()) for s in splits]
      assert r == [[0, 1, 2, 3, 4, 5, 6, 7], [8], [9]]
  
      with pytest.raises(ValueError):
          ds.split_proportionately([0.90] + ([0.001] * 90))
  
imports: import itertools
  import math
  import random
  import time
  from unittest.mock import patch
  import numpy
  import pandas
  import pytest
  import ray
  from ray.data._internal.block_list import BlockList
  from ray.data._internal.equalize import _equalize
  from ray.data._internal.execution.interfaces import RefBundle
  from ray.data._internal.logical.interfaces import LogicalPlan
  from ray.data._internal.logical.operators.input_data_operator import InputData
  from ray.data._internal.plan import ExecutionPlan
  from ray.data._internal.split import _drop_empty_block_split, _generate_global_split_results, _generate_per_block_split_indices, _generate_valid_indices, _split_at_indices, _split_single_block
  from ray.data._internal.stats import DatasetStats
  from ray.data.block import BlockAccessor, BlockMetadata
  from ray.data.dataset import Dataset
  from ray.data.tests.conftest import *
  from ray.data.tests.util import extract_values
  from ray.tests.conftest import *
label_desc: Use image node_id 9 for calling a global function with example usage: test_split_proportionately(ray_start_regular_shared) without return types