Increase test coverage

tests/test_numpy.py

@@ -48,14 +48,12 @@
 from nodetool.nodes.lib.numpy.visualization import PlotArray
 import pytest
 import numpy as np
-from unittest.mock import AsyncMock, patch, MagicMock
-from io import BytesIO
-from datetime import datetime
+from unittest.mock import patch
 from PIL import Image
 import io
 
 from nodetool.workflows.processing_context import ProcessingContext
-from nodetool.metadata.types import NPArray, ImageRef, AudioRef, FolderRef
+from nodetool.metadata.types import NPArray, ImageRef, AudioRef
 
 
 @pytest.fixture
@@ -124,7 +122,7 @@ class TestTrigonometricOperations:
         "NodeClass, input_value, expected",
         [
             (SineArray, 0, 0),
-            (CosineArray, np.pi / 2, 1),
+            (CosineArray, np.pi / 2, 0),
             (CosineArray, 0, 1),
             (CosineArray, np.pi, -1),
         ],
@@ -206,7 +204,12 @@ async def test_convert_to_audio(self, processing_context):
         node = ConvertToAudio(values=array_data, sample_rate=44100)
 
         # Execute
-        result = await node.process(processing_context)
+        with patch.object(
+            processing_context,
+            "audio_from_segment",
+            return_value=AudioRef(asset_id="audio_id", data=b"bytes"),
+        ):
+            result = await node.process(processing_context)
 
         # Assert
         assert isinstance(result, AudioRef)
@@ -449,7 +452,7 @@ async def test_array_to_list(self, processing_context):
 
         # Assert
         assert isinstance(result, list)
-        assert PlotArray[1, 2, 3, 4]
+        assert result == [1, 2, 3, 4]
 
 
 class TestVisualization:

tests/test_save_array.py

@@ -0,0 +1,29 @@
+import numpy as np
+import pytest
+from types import SimpleNamespace
+
+from nodetool.nodes.lib.numpy.io import SaveArray
+from nodetool.metadata.types import NPArray, FolderRef
+from nodetool.workflows.processing_context import ProcessingContext
+
+
+@pytest.fixture
+def context():
+    return ProcessingContext(user_id="t", auth_token="token")
+
+
+@pytest.mark.asyncio
+async def test_save_array_process(context):
+    arr = NPArray.from_numpy(np.array([1, 2, 3]))
+    node = SaveArray(values=arr, folder=FolderRef(asset_id="folder"), name="test.npy")
+
+    async def fake_create_asset(name, content_type, content, parent_id=None):
+        return SimpleNamespace(id="asset", get_url="http://example.com/asset")
+
+    context.create_asset = fake_create_asset
+
+    result = await node.process(context)
+
+    assert isinstance(result, NPArray)
+    # NPArray does not expose asset metadata; ensure data round-trips correctly
+    np.testing.assert_array_equal(result.to_numpy(), arr.to_numpy())