text: import numpy as np
  import pytest
  
  from pandas import Categorical, Series
  import pandas._testing as tm
  
  
  @pytest.mark.parametrize(
      "keep, expected",
      [
          ("first", Series([False, False, False, False, True, True, False])),
          ("last", Series([False, True, True, False, False, False, False])),
          (False, Series([False, True, True, False, True, True, False])),
      ],
  )
  def test_drop_duplicates(any_numpy_dtype, keep, expected):
      tc = Series([1, 0, 3, 5, 3, 0, 4], dtype=np.dtype(any_numpy_dtype))
  
      if tc.dtype == "bool":
          pytest.skip("tested separately in test_drop_duplicates_bool")
  
      tm.assert_series_equal(tc.duplicated(keep=keep), expected)
      tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected])
      sc = tc.copy()
      return_value = sc.drop_duplicates(keep=keep, inplace=True)
      assert return_value is None
      tm.assert_series_equal(sc, tc[~expected])
  
  
  @pytest.mark.parametrize(
      "keep, expected",
      [
          ("first", Series([False, False, True, True])),
          ("last", Series([True, True, False, False])),
          (False, Series([True, True, True, True])),
      ],
  )
  def test_drop_duplicates_bool(keep, expected):
      tc = Series([True, False, True, False])
  
      tm.assert_series_equal(tc.duplicated(keep=keep), expected)
      tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected])
      sc = tc.copy()
      return_value = sc.drop_duplicates(keep=keep, inplace=True)
      tm.assert_series_equal(sc, tc[~expected])
      assert return_value is None
  
  
  @pytest.mark.parametrize("values", [[], list(range(5))])
  def test_drop_duplicates_no_duplicates(any_numpy_dtype, keep, values):
      tc = Series(values, dtype=np.dtype(any_numpy_dtype))
      expected = Series([False] * len(tc), dtype="bool")
  
      if tc.dtype == "bool":
          # 0 -> False and 1-> True
          # any other value would be duplicated
          tc = tc[:2]
          expected = expected[:2]
  
      tm.assert_series_equal(tc.duplicated(keep=keep), expected)
  
      result_dropped = tc.drop_duplicates(keep=keep)
      tm.assert_series_equal(result_dropped, tc)
  
      # validate shallow copy
      assert result_dropped is not tc
  
  
  class TestSeriesDropDuplicates:
      @pytest.mark.parametrize(
          "dtype",
          ["int_", "uint", "float_", "unicode_", "timedelta64[h]", "datetime64[D]"],
      )
      def test_drop_duplicates_categorical_non_bool(self, dtype, ordered):
          cat_array = np.array([1, 2, 3, 4, 5], dtype=np.dtype(dtype))
  
          # Test case 1
          input1 = np.array([1, 2, 3, 3], dtype=np.dtype(dtype))
          tc1 = Series(Categorical(input1, categories=cat_array, ordered=ordered))
          if dtype == "datetime64[D]":
              # pre-empty flaky xfail, tc1 values are seemingly-random
              if not (np.array(tc1) == input1).all():
                  pytest.xfail(reason="GH#7996")
  
          expected = Series([False, False, False, True])
          tm.assert_series_equal(tc1.duplicated(), expected)
          tm.assert_series_equal(tc1.drop_duplicates(), tc1[~expected])
          sc = tc1.copy()
          return_value = sc.drop_duplicates(inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc1[~expected])
  
          expected = Series([False, False, True, False])
          tm.assert_series_equal(tc1.duplicated(keep="last"), expected)
          tm.assert_series_equal(tc1.drop_duplicates(keep="last"), tc1[~expected])
          sc = tc1.copy()
          return_value = sc.drop_duplicates(keep="last", inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc1[~expected])
  
          expected = Series([False, False, True, True])
          tm.assert_series_equal(tc1.duplicated(keep=False), expected)
          tm.assert_series_equal(tc1.drop_duplicates(keep=False), tc1[~expected])
          sc = tc1.copy()
          return_value = sc.drop_duplicates(keep=False, inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc1[~expected])
  
          # Test case 2
          input2 = np.array([1, 2, 3, 5, 3, 2, 4], dtype=np.dtype(dtype))
          tc2 = Series(Categorical(input2, categories=cat_array, ordered=ordered))
          if dtype == "datetime64[D]":
              # pre-empty flaky xfail, tc2 values are seemingly-random
              if not (np.array(tc2) == input2).all():
                  pytest.xfail(reason="GH#7996")
  
          expected = Series([False, False, False, False, True, True, False])
          tm.assert_series_equal(tc2.duplicated(), expected)
          tm.assert_series_equal(tc2.drop_duplicates(), tc2[~expected])
          sc = tc2.copy()
          return_value = sc.drop_duplicates(inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc2[~expected])
  
          expected = Series([False, True, True, False, False, False, False])
          tm.assert_series_equal(tc2.duplicated(keep="last"), expected)
          tm.assert_series_equal(tc2.drop_duplicates(keep="last"), tc2[~expected])
          sc = tc2.copy()
          return_value = sc.drop_duplicates(keep="last", inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc2[~expected])
  
          expected = Series([False, True, True, False, True, True, False])
          tm.assert_series_equal(tc2.duplicated(keep=False), expected)
          tm.assert_series_equal(tc2.drop_duplicates(keep=False), tc2[~expected])
          sc = tc2.copy()
          return_value = sc.drop_duplicates(keep=False, inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc2[~expected])
  
      def test_drop_duplicates_categorical_bool(self, ordered):
          tc = Series(
              Categorical(
                  [True, False, True, False], categories=[True, False], ordered=ordered,
              )
          )
  
          expected = Series([False, False, True, True])
          tm.assert_series_equal(tc.duplicated(), expected)
          tm.assert_series_equal(tc.drop_duplicates(), tc[~expected])
          sc = tc.copy()
          return_value = sc.drop_duplicates(inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc[~expected])
  
          expected = Series([True, True, False, False])
          tm.assert_series_equal(tc.duplicated(keep="last"), expected)
          tm.assert_series_equal(tc.drop_duplicates(keep="last"), tc[~expected])
          sc = tc.copy()
          return_value = sc.drop_duplicates(keep="last", inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc[~expected])
  
          expected = Series([True, True, True, True])
          tm.assert_series_equal(tc.duplicated(keep=False), expected)
          tm.assert_series_equal(tc.drop_duplicates(keep=False), tc[~expected])
          sc = tc.copy()
          return_value = sc.drop_duplicates(keep=False, inplace=True)
          assert return_value is None
          tm.assert_series_equal(sc, tc[~expected])
  