feat(browser): auto-commit con 178 cambios

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

python/functions/datascience/normality_tests_test.py

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+"""Tests para normality_tests."""
+
+import numpy as np
+
+from normality_tests import normality_tests
+
+
+def test_normal_large_sample_is_normal():
+    rng = np.random.default_rng(42)
+    values = rng.normal(loc=10.0, scale=2.0, size=2000).tolist()
+    result = normality_tests(values)
+    assert result["n"] == 2000
+    assert result["shapiro"] is not None
+    assert result["jarque_bera"]["normal"] is True
+    assert result["dagostino"]["normal"] is True
+    assert result["is_normal"] is True
+
+
+def test_skewed_sample_is_not_normal():
+    rng = np.random.default_rng(7)
+    values = rng.exponential(scale=1.0, size=2000).tolist()
+    result = normality_tests(values)
+    assert result["jarque_bera"]["normal"] is False
+    assert result["dagostino"]["normal"] is False
+    assert result["is_normal"] is False
+
+
+def test_small_sample_returns_note():
+    result = normality_tests([1, 2, 3, 4, 5])
+    assert result["n"] == 5
+    assert result["note"] == "muestra insuficiente"
+    assert result["is_normal"] is None
+    assert "jarque_bera" not in result
+
+
+def test_drops_none_nan_and_non_numeric():
+    rng = np.random.default_rng(1)
+    base = rng.normal(0.0, 1.0, size=50).tolist()
+    dirty = base + [None, float("nan"), "x", float("inf")]
+    result = normality_tests(dirty)
+    assert result["n"] == 50
+
+
+def test_shapiro_skipped_above_5000():
+    rng = np.random.default_rng(3)
+    values = rng.normal(0.0, 1.0, size=6000).tolist()
+    result = normality_tests(values)
+    assert result["n"] == 6000
+    assert result["shapiro"] is None
+    # is_normal still computed from JB + D'Agostino.
+    assert result["is_normal"] is True
+
+
+def test_normal_below_eight_after_cleaning_is_note():
+    result = normality_tests([1.0, 2.0, None, 3.0])
+    assert result["n"] == 3
+    assert result["note"] == "muestra insuficiente"
+    assert result["is_normal"] is None