fix the ci

.github/workflows/check.yml

@@ -41,7 +41,6 @@ jobs:
       fail-fast: false
       matrix:
         py:
-          - "3.14"
           - "3.13"
           - "3.12"
           - "3.11"

.github/workflows/documentation.yml

@@ -35,7 +35,7 @@ jobs:
           version: "0.11.16"
           enable-cache: true
       - name: Install the project
-        run: uv sync --locked --all-extras --extra doc
+        run: uv sync --locked --all-extras
       - name: Sphinx build
         run: uv run sphinx-build doc _build
       - name: Deploy

.github/workflows/publish-to-pypi.yml

@@ -119,4 +119,4 @@ jobs:
       with:
         version: "0.11.16"
     - name: Publish Resourcecode 📦 to TestPyPI
-      run: uv publish --token ${{ secrets.TEST_PYPI_TOKEN }} --publish-url https://test.pypi.org/legacy/
+      run: uv publish --publish-url https://test.pypi.org/legacy/

doc/sg_execution_times.rst

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:10.513** total execution time for 5 files **from all galleries**:
+**00:26.067** total execution time for 5 files **from all galleries**:
 
 .. container::
 
@@ -32,18 +32,18 @@ Computation times
    * - Example
      - Time
      - Mem (MB)
-   * - :ref:`sphx_glr_auto_examples_plot_4_Producible.py` (``..\examples\plot_4_Producible.py``)
-     - 00:10.513
+   * - :ref:`sphx_glr_auto_examples_plot_2_Multivariate_Extremes.py` (``../examples/plot_2_Multivariate_Extremes.py``)
+     - 00:26.067
      - 0.0
-   * - :ref:`sphx_glr_auto_examples_plot_0_Database_exploration.py` (``..\examples\plot_0_Database_exploration.py``)
+   * - :ref:`sphx_glr_auto_examples_plot_0_Database_exploration.py` (``../examples/plot_0_Database_exploration.py``)
      - 00:00.000
      - 0.0
-   * - :ref:`sphx_glr_auto_examples_plot_1_data_extraction.py` (``..\examples\plot_1_data_extraction.py``)
+   * - :ref:`sphx_glr_auto_examples_plot_1_data_extraction.py` (``../examples/plot_1_data_extraction.py``)
      - 00:00.000
      - 0.0
-   * - :ref:`sphx_glr_auto_examples_plot_2_Multivariate_Extremes.py` (``..\examples\plot_2_Multivariate_Extremes.py``)
+   * - :ref:`sphx_glr_auto_examples_plot_3_Operation_Planning.py` (``../examples/plot_3_Operation_Planning.py``)
      - 00:00.000
      - 0.0
-   * - :ref:`sphx_glr_auto_examples_plot_3_Operation_Planning.py` (``..\examples\plot_3_Operation_Planning.py``)
+   * - :ref:`sphx_glr_auto_examples_plot_4_Producible.py` (``../examples/plot_4_Producible.py``)
      - 00:00.000
      - 0.0

resourcecode/eva/censgaussfit.py

@@ -54,6 +54,7 @@ def censgaussfit(data: np.ndarray, q: float) -> OptimizeResult:
 
     tail_dependency_obs = sum(mask) / data.shape[0]
     th_norm = norm.ppf(q)
+    n_vars = data.shape[1]
 
     def fitness(cov):
         # For the 2D case, we have only one parameter
@@ -62,16 +63,18 @@ def fitness(cov):
             set_trig(sigma, cov, "upper")
             set_trig(sigma, cov, "lower")
         else:
-            sigma = cov
+            sigma = np.eye(2)
+            sigma[0, 1] = cov[0]
+            sigma[1, 0] = cov[0]
 
         # Check if sigma is positive semi-definite
         eigenvalues = np.linalg.eigvalsh(sigma)
         if not np.all(eigenvalues >= -1e-10):
             # Return a large penalty for non-PSD matrices
             return 1e10
 
-        rv = multivariate_normal(mean=np.zeros(len(cov)), cov=sigma, allow_singular=True)
-        upper_point = np.full(len(cov), th_norm)
+        rv = multivariate_normal(mean=np.zeros(n_vars), cov=sigma, allow_singular=True)
+        upper_point = np.full(n_vars, th_norm)
         prob = 1 - rv.cdf(upper_point)
 
         return (tail_dependency_obs - prob) ** 2

resourcecode/eva/simulation.py

@@ -64,8 +64,8 @@ def run_simulation(
         set_trig(sigma, rho, "lower")
     else:
         sigma = np.eye(2)
-        sigma[1, 0] = rho
-        sigma[0, 1] = rho
+        sigma[1, 0] = rho[0]
+        sigma[0, 1] = rho[0]
 
     result = None
     while result is None or len(result) < n_simulations: