Updated script that can be controled by Nodejs web app

lib/python3.13/site-packages/pandas/tests/window/moments/conftest.py

@@ -0,0 +1,72 @@
+import itertools
+
+import numpy as np
+import pytest
+
+from pandas import (
+    DataFrame,
+    Series,
+    notna,
+)
+
+
+def create_series():
+    return [
+        Series(dtype=np.float64, name="a"),
+        Series([np.nan] * 5),
+        Series([1.0] * 5),
+        Series(range(5, 0, -1)),
+        Series(range(5)),
+        Series([np.nan, 1.0, np.nan, 1.0, 1.0]),
+        Series([np.nan, 1.0, np.nan, 2.0, 3.0]),
+        Series([np.nan, 1.0, np.nan, 3.0, 2.0]),
+    ]
+
+
+def create_dataframes():
+    return [
+        DataFrame(columns=["a", "a"]),
+        DataFrame(np.arange(15).reshape((5, 3)), columns=["a", "a", 99]),
+    ] + [DataFrame(s) for s in create_series()]
+
+
+def is_constant(x):
+    values = x.values.ravel("K")
+    return len(set(values[notna(values)])) == 1
+
+
+@pytest.fixture(
+    params=(
+        obj
+        for obj in itertools.chain(create_series(), create_dataframes())
+        if is_constant(obj)
+    ),
+)
+def consistent_data(request):
+    return request.param
+
+
+@pytest.fixture(params=create_series())
+def series_data(request):
+    return request.param
+
+
+@pytest.fixture(params=itertools.chain(create_series(), create_dataframes()))
+def all_data(request):
+    """
+    Test:
+        - Empty Series / DataFrame
+        - All NaN
+        - All consistent value
+        - Monotonically decreasing
+        - Monotonically increasing
+        - Monotonically consistent with NaNs
+        - Monotonically increasing with NaNs
+        - Monotonically decreasing with NaNs
+    """
+    return request.param
+
+
+@pytest.fixture(params=[0, 2])
+def min_periods(request):
+    return request.param