def test_parses_from_dict_1D_distribution(self) -> None:
"""Check that a 1D distribution metric can be parsed from its dict representation."""
parsed_metric = GtsfmMetric.parse_from_dict(
self._metric_dict_quartiles)
self.assertEqual(parsed_metric.name, "foo_metric")
self.assertEqual(parsed_metric.plot_type, GtsfmMetric.PlotType.BOX)
self.assertIn("quartiles", parsed_metric.summary)
self.assertIn("full_data",
parsed_metric.get_metric_as_dict()[parsed_metric.name])
def test_parses_from_dict_no_full_data(self) -> None:
"""Check that a 1D distribution metric can be parsed from dict without full data field."""
parsed_metric = GtsfmMetric.parse_from_dict(self._metric_dict_no_data)
self.assertEqual(parsed_metric.name, "bar_metric")
self.assertEqual(parsed_metric.plot_type,
GtsfmMetric.PlotType.HISTOGRAM)
self.assertIn("histogram", parsed_metric.summary)
self.assertNotIn(
"full_data",
parsed_metric.get_metric_as_dict()[parsed_metric.name])
def test_parses_from_dict_1D_distribution_histogram(self) -> None:
"""Check that a 1D distribution metric with histogram summary can be parsed from dict."""
parsed_metric = GtsfmMetric.parse_from_dict(
self._metric_dict_histogram)
self.assertEqual(parsed_metric.name, "bar_metric")
self.assertEqual(parsed_metric.plot_type,
GtsfmMetric.PlotType.HISTOGRAM)
self.assertIn("histogram", parsed_metric.summary)
self.assertIn("full_data",
parsed_metric.get_metric_as_dict()[parsed_metric.name])
def test_parses_from_dict_scalar(self) -> None:
"""Check that a scalar metric can be parsed from its dict representation."""
scalar_metric_dict = {"foo_metric": 2}
parsed_metric = GtsfmMetric.parse_from_dict(scalar_metric_dict)
self.assertEqual(parsed_metric.name, "foo_metric")
np.testing.assert_equal(parsed_metric.data, 2)