Updated script that can be controled by Nodejs web app

lib/python3.13/site-packages/pandas/tests/series/methods/test_duplicated.py

@@ -0,0 +1,77 @@
+import numpy as np
+import pytest
+
+from pandas import (
+    NA,
+    Categorical,
+    Series,
+)
+import pandas._testing as tm
+
+
+@pytest.mark.parametrize(
+    "keep, expected",
+    [
+        ("first", Series([False, False, True, False, True], name="name")),
+        ("last", Series([True, True, False, False, False], name="name")),
+        (False, Series([True, True, True, False, True], name="name")),
+    ],
+)
+def test_duplicated_keep(keep, expected):
+    ser = Series(["a", "b", "b", "c", "a"], name="name")
+
+    result = ser.duplicated(keep=keep)
+    tm.assert_series_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "keep, expected",
+    [
+        ("first", Series([False, False, True, False, True])),
+        ("last", Series([True, True, False, False, False])),
+        (False, Series([True, True, True, False, True])),
+    ],
+)
+def test_duplicated_nan_none(keep, expected):
+    ser = Series([np.nan, 3, 3, None, np.nan], dtype=object)
+
+    result = ser.duplicated(keep=keep)
+    tm.assert_series_equal(result, expected)
+
+
+def test_duplicated_categorical_bool_na(nulls_fixture):
+    # GH#44351
+    ser = Series(
+        Categorical(
+            [True, False, True, False, nulls_fixture],
+            categories=[True, False],
+            ordered=True,
+        )
+    )
+    result = ser.duplicated()
+    expected = Series([False, False, True, True, False])
+    tm.assert_series_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "keep, vals",
+    [
+        ("last", [True, True, False]),
+        ("first", [False, True, True]),
+        (False, [True, True, True]),
+    ],
+)
+def test_duplicated_mask(keep, vals):
+    # GH#48150
+    ser = Series([1, 2, NA, NA, NA], dtype="Int64")
+    result = ser.duplicated(keep=keep)
+    expected = Series([False, False] + vals)
+    tm.assert_series_equal(result, expected)
+
+
+def test_duplicated_mask_no_duplicated_na(keep):
+    # GH#48150
+    ser = Series([1, 2, NA], dtype="Int64")
+    result = ser.duplicated(keep=keep)
+    expected = Series([False, False, False])
+    tm.assert_series_equal(result, expected)