Fix test_metrics.py

tests/test_metrics.py

@@ -2,12 +2,14 @@
 """Tests concerning the code's custom metrics."""
 import logging
 import time
+from pathlib import Path
 
 import numpy as np
 import pandas as pd
 import pytest
 from sklearn.metrics.pairwise import haversine_distances
 
+from netatmoqc.config_parser import ParsedConfig
 from netatmoqc.metrics import calc_distance_matrix
 
 logger = logging.getLogger(__name__)
@@ -34,14 +36,20 @@ class TestsCustomMetrics:
                 some_obs=np.zeros(n_pts),
             )
         )
-        weights = np.array([1.0, 0.0])
+
+        # Prepare a mock config
+        fpath = Path(__file__).resolve().parent / "test_config.toml"
+        config = ParsedConfig(fpath)
+        config.general.custom_metrics_method = "haversine"
+        config.general.clustering_method = "hdbscan"
+        config.clustering_method.hdbscan.obs_weights = {"some_obs": 0.0}
+        config.general.custom_metrics_optimize_mode = "speed"
+        config.general.unclusterable_data_columns = []
 
         logger.info("Calculating %dx%d distance matrix:", n_pts, n_pts)
         logger.info("(a) With our code's metrics")
         start = time.time()
-        dist_mat1 = np.asarray(
-            calc_distance_matrix(df, weights=weights, optimize_mode="speed")
-        )
+        dist_mat1 = np.asarray(calc_distance_matrix(df, config=config))
         logger.info("Done in %.2fs", time.time() - start)
 
         logger.info("(b) With sklearn metrics")