Include test for healpix

src/anemoi/graphs/nodes/builder.py

@@ -212,8 +212,11 @@ class HEALPixNodes(BaseNodeBuilder):
         Update the graph with new nodes and attributes.
     """
 
-    def __init__(self, resolution: int) -> None:
+    def __init__(self, resolution: int, name: str) -> None:
+        """Initialize the HEALPixNodes builder."""
         self.resolution = resolution
+        super().__init__(name)
+
         assert isinstance(resolution, int), "Resolution must be an integer."
         assert resolution > 0, "Resolution must be positive."
 

tests/nodes/test_healpix.py

@@ -0,0 +1,51 @@
+import pytest
+import torch
+from torch_geometric.data import HeteroData
+
+from anemoi.graphs.nodes.attributes import AreaWeights
+from anemoi.graphs.nodes.attributes import UniformWeights
+from anemoi.graphs.nodes.builder import BaseNodeBuilder
+from anemoi.graphs.nodes.builder import HEALPixNodes
+
+
+@pytest.mark.parametrize("resolution", [2, 5, 7])
+def test_init(resolution: int):
+    """Test HEALPixNodes initialization."""
+    node_builder = HEALPixNodes(resolution, "test_nodes")
+    assert isinstance(node_builder, BaseNodeBuilder)
+    assert isinstance(node_builder, HEALPixNodes)
+
+
+@pytest.mark.parametrize("resolution", ["2", 4.3, -7])
+def test_fail_init(resolution: int):
+    """Test HEALPixNodes initialization with invalid resolution."""
+    with pytest.raises(AssertionError):
+        HEALPixNodes(resolution, "test_nodes")
+
+
+@pytest.mark.parametrize("resolution", [2, 5, 7])
+def test_register_nodes(resolution: int):
+    """Test HEALPixNodes register correctly the nodes."""
+    node_builder = HEALPixNodes(resolution, "test_nodes")
+    graph = HeteroData()
+
+    graph = node_builder.register_nodes(graph)
+
+    assert graph["test_nodes"].x is not None
+    assert isinstance(graph["test_nodes"].x, torch.Tensor)
+    assert graph["test_nodes"].x.shape[1] == 2
+    assert graph["test_nodes"].node_type == "HEALPixNodes"
+
+
+@pytest.mark.parametrize("attr_class", [UniformWeights, AreaWeights])
+@pytest.mark.parametrize("resolution", [2, 5, 7])
+def test_register_attributes(graph_with_nodes: HeteroData, attr_class, resolution: int):
+    """Test HEALPixNodes register correctly the weights."""
+    node_builder = HEALPixNodes(resolution, "test_nodes")
+    config = {"test_attr": {"_target_": f"anemoi.graphs.nodes.attributes.{attr_class.__name__}"}}
+
+    graph = node_builder.register_attributes(graph_with_nodes, config)
+
+    assert graph["test_nodes"]["test_attr"] is not None
+    assert isinstance(graph["test_nodes"]["test_attr"], torch.Tensor)
+    assert graph["test_nodes"]["test_attr"].shape[0] == graph["test_nodes"].x.shape[0]