Update tests

pyproject.toml

@@ -84,8 +84,8 @@ build-backend = "setuptools.build_meta"
 [tool.mypy]
 files = ["eo_tides"]
 python_version = "3.10"
-ignore_missing_imports = "True"
-allow_redefinition = "True"
+ignore_missing_imports = true
+allow_redefinition = true
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]
@@ -119,6 +119,10 @@ DEP002 = [
 
 [tool.coverage.report]
 skip_empty = true
+exclude_lines = [
+    "pragma: no cover",
+    "if TYPE_CHECKING:",
+]
 
 [tool.coverage.run]
 branch = true

tests/test_stats.py

@@ -20,7 +20,7 @@ def test_tidal_stats(satellite_ds, modelled_freq):
     # Calculate tidal stats
     tidal_stats_df = tide_stats(satellite_ds, modelled_freq=modelled_freq)
 
-    # Compare outputs to expected results (within 5% or 0.05 m)
+    # Compare outputs to expected results (within 2% or 0.02 m)
     expected_results = pd.Series({
         "tidepost_lat": -18.001,
         "tidepost_lon": 122.218,
@@ -36,4 +36,29 @@ def test_tidal_stats(satellite_ds, modelled_freq):
         "low_tide_offset": 0.254,
         "high_tide_offset": 0.301,
     })
-    assert np.allclose(tidal_stats_df, expected_results, atol=0.05)
+    assert np.allclose(tidal_stats_df, expected_results, atol=0.02)
+
+    # Test linear regression
+    tidal_stats_linreg_df = tide_stats(satellite_ds, modelled_freq=modelled_freq, linear_reg=True)
+
+    # Compare outputs to expected results (within 2% or 0.02 m)
+    expected_results = pd.Series({
+        "tidepost_lat": -18.001,
+        "tidepost_lon": 122.218,
+        "observed_mean_m": -0.417,
+        "all_mean_m": -0.005,
+        "observed_min_m": -2.141,
+        "all_min_m": -4.321,
+        "observed_max_m": 1.674,
+        "all_max_m": 4.259,
+        "observed_range_m": 3.814,
+        "all_range_m": 8.580,
+        "spread": 0.445,
+        "low_tide_offset": 0.254,
+        "high_tide_offset": 0.301,
+        "observed_slope": 6.952,
+        "all_slope": -1.472,
+        "observed_pval": 0.573,
+        "all_pval": 0.000,
+    })
+    assert np.allclose(tidal_stats_linreg_df, expected_results, atol=0.02)