code: def test_predict_binary_classification():
      data = generate_random_arrow_table(10, 10000, 42)
      dataset = lgb.Dataset(
          data,
          label=generate_random_arrow_array(
              10000, 43, generate_nulls=False, values=np.arange(2)
          ),
          params=dummy_dataset_params(),
      )
      booster = lgb.train(
          {"objective": "binary", "num_leaves": 7},
          dataset,
          num_boost_round=5,
      )
      assert_equal_predict_arrow_pandas(booster, data)
  
imports: import filecmp
  from typing import Any, Dict, Optional
  import numpy
  import pyarrow
  import pytest
  import lightgbm
  from .utils import np_assert_array_equal
label_desc: Use image node_id 17 for calling a global function with example usage: test_predict_binary_classification() without return types