small new tests

test/unit/test_validate.py

@@ -1,3 +1,5 @@
+from pathlib import Path
+
 import numpy as np
 from numpy.testing import assert_almost_equal
 
@@ -37,6 +39,27 @@ def test_map_negentropy(noise_free_map: Map, very_noisy_map: Map) -> None:
     assert validate.map_negentropy(noise_free_map) > validate.map_negentropy(very_noisy_map)
 
 
+def test_maximizer_metadata_smoke(tv_denoise_result_source_data: dict) -> None:
+    validate.MaximizerScanMetadata(**tv_denoise_result_source_data)
+
+
+def test_maximizer_metadata_json_roundtrip(tv_denoise_result_source_data: dict) -> None:
+    metadata = validate.MaximizerScanMetadata(**tv_denoise_result_source_data)
+    json_metadata = metadata.json()
+    new_metadata = metadata.from_json(json_metadata)
+    assert new_metadata == metadata
+
+
+def test_maximizer_metadata_read_write_roundtrip(
+    tv_denoise_result_source_data: dict, tmp_path: Path
+) -> None:
+    metadata = validate.MaximizerScanMetadata(**tv_denoise_result_source_data)
+    json_file = tmp_path / "metadata.json"
+    metadata.to_json_file(json_file)
+    new_metadata = metadata.from_json_file(json_file)
+    assert new_metadata == metadata
+
+
 def test_negentropy_maximizer_explicit() -> None:
     maximizer = validate.ScalarMaximizer(objective=parabolic_objective)
     test_values = np.linspace(-5, 5, 11)