Support list and tuple for QDM. (#8542)

tests/python/test_quantile_dmatrix.py

@@ -19,6 +19,7 @@ import xgboost as xgb
 
 class TestQuantileDMatrix:
     def test_basic(self) -> None:
+        """Checks for np array, list, tuple."""
         n_samples = 234
         n_features = 8
 
@@ -41,6 +42,18 @@ class TestQuantileDMatrix:
         assert Xy.num_row() == n_samples
         assert Xy.num_col() == n_features
 
+        n_samples = 64
+        data = []
+        for f in range(n_samples):
+            row = [f] * n_features
+            data.append(row)
+        assert np.array(data).shape == (n_samples, n_features)
+        Xy = xgb.QuantileDMatrix(data, max_bin=256)
+        assert Xy.num_row() == n_samples
+        assert Xy.num_col() == n_features
+        r = np.arange(1.0, n_samples)
+        np.testing.assert_allclose(Xy.get_data().toarray()[1:, 0], r)
+
     @pytest.mark.parametrize("sparsity", [0.0, 0.1, 0.8, 0.9])
     def test_with_iterator(self, sparsity: float) -> None:
         n_samples_per_batch = 317
@@ -242,6 +255,7 @@ class TestQuantileDMatrix:
         )
 
     def test_dtypes(self) -> None:
+        """Checks for both np array and pd DataFrame."""
         n_samples = 128
         n_features = 16
         for orig, x in np_dtypes(n_samples, n_features):