code: def test_unique():
      modin_result = pd.unique([2, 1, 3, 3])
      pandas_result = pandas.unique([2, 1, 3, 3])
      assert_array_equal(modin_result, pandas_result)
      assert modin_result.shape == pandas_result.shape
  
      modin_result = pd.unique(pd.Series([2] + [1] * 5))
      pandas_result = pandas.unique(pandas.Series([2] + [1] * 5))
      assert_array_equal(modin_result, pandas_result)
      assert modin_result.shape == pandas_result.shape
  
      modin_result = pd.unique(
          pd.Series(
              [pd.Timestamp("20160101"), pd.Timestamp("20160101")]
          )
      )
      pandas_result = pandas.unique(
          pandas.Series(
              [
                  pandas.Timestamp("20160101"),
                  pandas.Timestamp("20160101"),
              ]
          )
      )
      assert_array_equal(modin_result, pandas_result)
      assert modin_result.shape == pandas_result.shape
  
      modin_result = pd.unique(
          pd.Series(
              [
                  pd.Timestamp("20160101", tz="US/Eastern"),
                  pd.Timestamp("20160101", tz="US/Eastern"),
              ]
          )
      )
      pandas_result = pandas.unique(
          pandas.Series(
              [
                  pandas.Timestamp("20160101", tz="US/Eastern"),
                  pandas.Timestamp("20160101", tz="US/Eastern"),
              ]
          )
      )
      assert_array_equal(modin_result, pandas_result)
      assert modin_result.shape == pandas_result.shape
  
      modin_result = pd.unique(
          pd.Index(
              [
                  pd.Timestamp("20160101", tz="US/Eastern"),
                  pd.Timestamp("20160101", tz="US/Eastern"),
              ]
          )
      )
      pandas_result = pandas.unique(
          pandas.Index(
              [
                  pandas.Timestamp("20160101", tz="US/Eastern"),
                  pandas.Timestamp("20160101", tz="US/Eastern"),
              ]
          )
      )
      assert_array_equal(modin_result, pandas_result)
      assert modin_result.shape == pandas_result.shape
  
      modin_result = pd.unique(pd.Series(pd.Categorical(list("baabc"))))
      pandas_result = pandas.unique(
          pandas.Series(pandas.Categorical(list("baabc")))
      )
      assert_array_equal(modin_result, pandas_result)
      assert modin_result.shape == pandas_result.shape
  
file_path: ray/python/ray/tests/modin/test_modin.py
imports: import sys
  import pytest
  import pandas
  import numpy
  from numpy.testing import assert_array_equal
  from ray.tests.conftest import ray_start_regular_shared
label_desc: Use image node_id 9 for calling a global function with example usage: test_unique() without return types