code: def test_searchsorted_misc():
      psr = pd.Series([1, 2, 3.4, 6])
      sr = cudf.from_pandas(psr)
  
      assert_eq(psr.searchsorted(1), sr.searchsorted(1))
      assert_eq(psr.searchsorted(0), sr.searchsorted(0))
      assert_eq(psr.searchsorted(4), sr.searchsorted(4))
      assert_eq(psr.searchsorted(5), sr.searchsorted(5))
      assert_eq(
          psr.searchsorted([-100, 3.4, 2.2, 2.0, 2.000000001]),
          sr.searchsorted([-100, 3.4, 2.2, 2.0, 2.000000001]),
      )
  
      psr = pd.Series([1, 2, 3])
      sr = cudf.from_pandas(psr)
      assert_eq(psr.searchsorted(1), sr.searchsorted(1))
      assert_eq(
          psr.searchsorted([0, 1, 2, 3, 4, -4, -3, -2, -1, 0, -120]),
          sr.searchsorted([0, 1, 2, 3, 4, -4, -3, -2, -1, 0, -120]),
      )
      assert_eq(psr.searchsorted(1.5), sr.searchsorted(1.5))
      assert_eq(psr.searchsorted(1.99), sr.searchsorted(1.99))
      assert_eq(psr.searchsorted(3.00001), sr.searchsorted(3.00001))
      assert_eq(
          psr.searchsorted([-100, 3.00001, 2.2, 2.0, 2.000000001]),
          sr.searchsorted([-100, 3.00001, 2.2, 2.0, 2.000000001]),
      )
  
file_path: cudf/python/cudf/cudf/tests/test_search.py
imports: import cupy
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.testing._utils import assert_eq, gen_rand, random_bitmask
label_desc: Use image node_id 6 for calling a global function with example usage: test_searchsorted_misc() without return types