feat: update all to python3.14

.github/copilot-instructions.md

@@ -88,7 +88,7 @@ import equinox as eqx
 
 class MyData(eqx.Module):
     traced_array: Float[Array, " n"]      # JAX will trace this
-    static_config: Static[int] = eqx.field(static=True)      # JAX won't trace this
+    static_config: int = eqx.field(static=True)      # JAX won't trace this
 ```
 
 **HDF5 Persistence**: Large matrices stored in `.hdf5` via `h5py`. See `dc_solver_pkg/jax/inputs.py` for save/load patterns. Paths in `interfaces_pkg/folder_structure.py`.

Dockerfile

@@ -1,6 +1,6 @@
 FROM ghcr.io/astral-sh/uv:0.11.16@sha256:440fd6477af86a2f1b38080c539f1672cd22acb1b1a47e321dba5158ab08864d AS uv
 
-FROM python:3.13.6-bullseye@sha256:f58f33e0563f2ba81c7afe6259cd912f0c33413da93c75cc3a70a941c17afa8c
+FROM python:3.14.3@sha256:9234c2fd80143741d28153f66dc306f0448c477a7d965df83107373411509357
 
 # Declare environment variables
 ENV PATH="/root/.local/bin:$PATH"

README.md

@@ -10,7 +10,7 @@
 
 
 [![License: MPL 2.0](https://img.shields.io/badge/License-MPL_2.0-brightgreen.svg)](https://opensource.org/licenses/MPL-2.0)
-[![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-3110/)
+[![Python 3.14](https://img.shields.io/badge/python-3.14-blue.svg)](https://www.python.org/downloads/release/python-3140/)
 <!-- markdown-link-check-enable -->
 
 ## Hello there 👋
@@ -45,8 +45,10 @@ If you want to contribute to this repository, we recommend using VS Code's Devco
 
 For this setup, you need to install:
 1. `uv`
-2. `Microsoft VS Code`
-3. `Docker`
+2. `Python 3.14`
+3. `CMake 3.x` for native installs outside the devcontainer
+4. `Microsoft VS Code`
+5. `Docker`
 
 ### Installation
 

docs/contribution_guide.md

@@ -10,6 +10,7 @@ We provide a [Development Container](https://containers.dev/) configuration that
 
 - [Docker](https://www.docker.com/get-started) installed and running
 - [VS Code](https://code.visualstudio.com/) with the [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
+- Python 3.14 for native development outside the devcontainer
 
 ### Getting Started
 
@@ -80,6 +81,8 @@ For that, we provide [commit message types](./contribution_guide.md#commit-types
 
 1. **Fork and install**:
    ```bash
+   python3.14 -m venv .venv
+   source .venv/bin/activate
    git clone https://github.com/<your-username>/ToOp.git
    cd ToOp
    uv sync

docs/index.md

@@ -32,8 +32,9 @@ If you want to contribute to this repository, we recommend using VS Code's Devco
 
 For this setup, you need to install:
 1. `uv`
-2. `Microsoft VS Code`
-3. `Docker`
+2. `Python 3.14`
+3. `Microsoft VS Code`
+4. `Docker`
 
 ### Installation
 

packages/contingency_analysis_pkg/pyproject.toml

@@ -29,17 +29,17 @@ classifiers=[
         'Natural Language :: English',
         'Operating System :: OS Independent',
         'Programming Language :: Python',
-        'Programming Language :: Python :: 3.11'
+        'Programming Language :: Python :: 3.14'
 ]
 
-requires-python = ">=3.11,<3.12"
+requires-python = ">=3.14,<3.15"
 
 [tool.hatch.metadata.hooks.uv-dynamic-versioning]
 dependencies = [
-    "pandera[polars] (>=0.22.1,<0.23.0)",
+    "pandera[polars] (>=0.26.1,<0.27.0)",
     "ray (>=2.42.1,<3.0.0)",
     "beartype (>=0.22.0,<0.23.0)",
-    "numpy (>=1.26.0,<2.0.0)",
+    "numpy (>=2.1.0,<3.0.0)",
     "pandas (>=2.2.3,<3.0.0)",
     "pydantic (>=1.10.3,<3.0.0)",
     "confluent-kafka (>=2.3.0,<3.0.0)",
@@ -62,7 +62,7 @@ source = "uv-dynamic-versioning"
 
 [project.optional-dependencies]
 pypowsybl = ["pypowsybl>=1.15.0"]
-pandapower = ["pandapower>=3.0.0"]
+pandapower = ["pandapower>=3.4.0", "lxml>=5.0.0"]
 
 [dependency-groups]
 dev = [
@@ -84,7 +84,7 @@ dev = [
     "types-confluent-kafka>=1.3.3",
     "pypowsybl-jupyter>=1.0.0",
     "docker>=7.1.0",
-    "numba>=0.61.2",
+    "numba>=0.65.0,<0.66.0",
     "orjson>=3.11.3",
 ]
 

packages/contingency_analysis_pkg/src/toop_engine_contingency_analysis/pandapower/pandapower_helpers/schemas.py

@@ -10,7 +10,9 @@
 import dataclasses
 
 import pandapower as pp
-import pandera as pa
+import pandas as pd
+import pandera
+import pandera.pandas as pa
 import pandera.typing as pat
 from beartype.typing import Any, Literal, Optional
 from pandera.typing import Index, Series
@@ -32,6 +34,31 @@
 )
 
 
+def _register_missing_pandera_checks() -> None:
+    """Register missing pandas backends for builtin Pandera checks used in this module."""
+    try:
+        isin_dispatcher = pa.Check.get_builtin_check_fn("isin")
+    except Exception:
+        isin_dispatcher = None
+
+    if pd.Series in getattr(isin_dispatcher, "_function_registry", {}):
+        return
+
+    assert tuple(map(int, pandera.__version__.split(".")[:2])) < (0, 27), (
+        "Remove the temporary Pandera builtin-check registration once Pandera >= 0.27 is supported."
+    )
+
+    @pa.Check.register_builtin_check_fn
+    def isin(
+        data: pd.Series,
+        allowed_values: list[object] | tuple[object, ...],
+    ) -> pd.Series:
+        return data.isna() | data.isin(allowed_values)
+
+
+_register_missing_pandera_checks()
+
+
 class CascadeConfig(BaseModel):
     """Configuration for cascading protection screening after contingency load flow."""
 
@@ -98,7 +125,7 @@ class PandapowerMonitoredElementSchema(pa.DataFrameModel):
     table: Series[str] = pa.Field(description="The type of the monitored element, e.g. 'line', 'bus', 'load', etc.")
     table_id: Series[int] = pa.Field(description="The id of the monitored element in the corresponding table.")
     kind: Series[str] = pa.Field(
-        isin=["branch", "bus", "injection", "switch"],
+        isin=("branch", "bus", "injection", "switch"),
         description="The kind of the monitored element, e.g. 'branch', 'bus' etc.",
     )
     name: Series[str] = pa.Field(description="The name of the monitored element, if available.")
@@ -172,7 +199,7 @@ class PandapowerContingencyGroup(BaseModel):
 class SppsConditionsPandapowerSchema(pa.DataFrameModel):
     """Pandera schema for resolved SpPS condition rows (one row per condition)."""
 
-    scheme_name: Series[str]
+    scheme_name: Series[str] = pa.Field()
     """Name of the rule scheme: conditions with the same name are evaluated as one logical group."""
 
     condition_logic: Series[str] = pa.Field(isin=SPPS_CONDITION_LOGIC_VALUES)
@@ -198,7 +225,7 @@ class SppsConditionsPandapowerSchema(pa.DataFrameModel):
     )
     """Threshold value for the condition (empty for state-based checks)."""
 
-    condition_element_table: Series[str]
+    condition_element_table: Series[str] = pa.Field()
     """Pandapower table containing the element to monitor."""
 
     condition_element_table_id: Series[int] = pa.Field(coerce=True)
@@ -217,16 +244,16 @@ class SppsConditionsPandapowerSchema(pa.DataFrameModel):
 class SppsActionsPandapowerSchema(pa.DataFrameModel):
     """Pandera schema for resolved SpPS action rows (one row per action)."""
 
-    scheme_name: Series[str]
+    scheme_name: Series[str] = pa.Field()
     """Name of the rule scheme: actions apply when that scheme's conditions pass per ``condition_logic``."""
 
     measure_type: Series[str] = pa.Field(isin=SPPS_MEASURE_TYPE_VALUES)
     """What is applied when the scheme activates."""
 
-    measure_value: Series[object]
+    measure_value: Series[object] = pa.Field()
     """Target value (number or switch state like 'Open'/'Closed')."""
 
-    measure_element_table: Series[str]
+    measure_element_table: Series[str] = pa.Field()
     """Pandapower table containing the element to control."""
 
     measure_element_table_id: Series[int] = pa.Field(coerce=True)

packages/contingency_analysis_pkg/src/toop_engine_contingency_analysis/pypowsybl/powsybl_helpers_polars.py

@@ -434,14 +434,16 @@ def add_name_column_polars(
     LoadflowResultTablePolars
         The updated dataframe with the ids translated to the original names.
     """
+    fallback_name = pl.col(f"{index_level}_name").cast(pl.String).fill_null("").replace(["NaN", "nan"], ["", ""])
+
     result_df = result_df.with_columns(
-        pl.col(index_level)
-        .replace(name_map, default=pl.col(f"{index_level}_name").fill_null(""))
-        .alias(f"{index_level}_name")
+        pl.col(index_level).replace(name_map, default=fallback_name).alias(f"{index_level}_name")
     )
 
     # fill nulls with empty string
-    result_df = result_df.with_columns(pl.col(f"{index_level}_name").fill_null(""))
+    result_df = result_df.with_columns(
+        pl.col(f"{index_level}_name").cast(pl.String).fill_null("").replace(["NaN", "nan"], ["", ""])
+    )
     return result_df
 
 

packages/contingency_analysis_pkg/tests/test_init.py

@@ -15,7 +15,7 @@
 def test_int_check_win32(monkeypatch):
     # Check pandera version
     pandera_version = tuple(map(int, pandera.__version__.split(".")))
-    assert pandera_version < (0, 23), "Check if this Patch is still needed"
+    assert pandera_version < (0, 27), "Check if this Patch is still needed"
     # Patch sys.platform to 'win32'
     monkeypatch.setattr(sys, "platform", "win32")
     importlib.reload(sys.modules["toop_engine_contingency_analysis.__init__"])