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lib/python3.13/site-packages/pandas/tests/test_aggregation.py

@@ -0,0 +1,93 @@
+import numpy as np
+import pytest
+
+from pandas.core.apply import (
+    _make_unique_kwarg_list,
+    maybe_mangle_lambdas,
+)
+
+
+def test_maybe_mangle_lambdas_passthrough():
+    assert maybe_mangle_lambdas("mean") == "mean"
+    assert maybe_mangle_lambdas(lambda x: x).__name__ == "<lambda>"
+    # don't mangel single lambda.
+    assert maybe_mangle_lambdas([lambda x: x])[0].__name__ == "<lambda>"
+
+
+def test_maybe_mangle_lambdas_listlike():
+    aggfuncs = [lambda x: 1, lambda x: 2]
+    result = maybe_mangle_lambdas(aggfuncs)
+    assert result[0].__name__ == "<lambda_0>"
+    assert result[1].__name__ == "<lambda_1>"
+    assert aggfuncs[0](None) == result[0](None)
+    assert aggfuncs[1](None) == result[1](None)
+
+
+def test_maybe_mangle_lambdas():
+    func = {"A": [lambda x: 0, lambda x: 1]}
+    result = maybe_mangle_lambdas(func)
+    assert result["A"][0].__name__ == "<lambda_0>"
+    assert result["A"][1].__name__ == "<lambda_1>"
+
+
+def test_maybe_mangle_lambdas_args():
+    func = {"A": [lambda x, a, b=1: (0, a, b), lambda x: 1]}
+    result = maybe_mangle_lambdas(func)
+    assert result["A"][0].__name__ == "<lambda_0>"
+    assert result["A"][1].__name__ == "<lambda_1>"
+
+    assert func["A"][0](0, 1) == (0, 1, 1)
+    assert func["A"][0](0, 1, 2) == (0, 1, 2)
+    assert func["A"][0](0, 2, b=3) == (0, 2, 3)
+
+
+def test_maybe_mangle_lambdas_named():
+    func = {"C": np.mean, "D": {"foo": np.mean, "bar": np.mean}}
+    result = maybe_mangle_lambdas(func)
+    assert result == func
+
+
+@pytest.mark.parametrize(
+    "order, expected_reorder",
+    [
+        (
+            [
+                ("height", "<lambda>"),
+                ("height", "max"),
+                ("weight", "max"),
+                ("height", "<lambda>"),
+                ("weight", "<lambda>"),
+            ],
+            [
+                ("height", "<lambda>_0"),
+                ("height", "max"),
+                ("weight", "max"),
+                ("height", "<lambda>_1"),
+                ("weight", "<lambda>"),
+            ],
+        ),
+        (
+            [
+                ("col2", "min"),
+                ("col1", "<lambda>"),
+                ("col1", "<lambda>"),
+                ("col1", "<lambda>"),
+            ],
+            [
+                ("col2", "min"),
+                ("col1", "<lambda>_0"),
+                ("col1", "<lambda>_1"),
+                ("col1", "<lambda>_2"),
+            ],
+        ),
+        (
+            [("col", "<lambda>"), ("col", "<lambda>"), ("col", "<lambda>")],
+            [("col", "<lambda>_0"), ("col", "<lambda>_1"), ("col", "<lambda>_2")],
+        ),
+    ],
+)
+def test_make_unique(order, expected_reorder):
+    # GH 27519, test if make_unique function reorders correctly
+    result = _make_unique_kwarg_list(order)
+
+    assert result == expected_reorder