Add NPY rules to ruff. Solve NPY002

The assert in the test that changes in this diff is just
due to the change of the way of setting the seed.

pyproject.toml

@@ -114,6 +114,7 @@ select = [
   "F",   # pyflakes
   "C4",  # flake8-comprehensions
   "PL",  # pylint
+  "NPY", # numpy specific rules
 ]
 ignore = ["PLW2901", # redefined-loop-name
           "PLR2004", # magic-value-comparison

tests/workflows/ahm_analysis/test_ahm_analysis.py

@@ -144,25 +144,25 @@ def test_calc_kolmogorov_smirnov():
     ks_matrix = pd.DataFrame()
     dkeys = ["param1", "param2"]
     ks_matrix = pd.DataFrame(sorted(dkeys), columns=["Parameters"])
-    np.random.seed(12345678)
+    rng = np.random.default_rng(12345678)
     prior_data = pd.DataFrame(
         {
-            "param1": stats.norm.rvs(size=100, loc=0, scale=1),
-            "param2": stats.norm.rvs(size=100, loc=0.01, scale=1),
+            "param1": stats.norm.rvs(size=100, loc=0, scale=1, random_state=rng),
+            "param2": stats.norm.rvs(size=100, loc=0.01, scale=1, random_state=rng),
         }
     )
     target_data = pd.DataFrame(
         {
-            "param1": stats.norm.rvs(size=200, loc=0.5, scale=1.5),
-            "param2": stats.norm.rvs(size=200, loc=0.1, scale=1),
+            "param1": stats.norm.rvs(size=200, loc=0.5, scale=1.5, random_state=rng),
+            "param2": stats.norm.rvs(size=200, loc=0.1, scale=1, random_state=rng),
         }
     )
     ks_matrix["WOPT:W1"] = ks_matrix["Parameters"].map(
         ahmanalysis.calc_kolmogorov_smirnov(dkeys, prior_data, target_data)
     )
     ks_matrix.set_index("Parameters", inplace=True)
     assert "param2" in ks_matrix.index
-    assert ks_matrix.loc["param1", "WOPT:W1"] == 0.18
+    assert ks_matrix.loc["param1", "WOPT:W1"] == 0.275
     assert ks_matrix["WOPT:W1"].max() <= 1
     assert ks_matrix["WOPT:W1"].min() >= 0