chore: ruff errors (#271)

* fix: boltzmann wealth model network

* fix: ruff errors RUF 046 and RUF 003

Author: jchanke

gis/agents_and_networks/src/space/utils.py

@@ -57,7 +57,7 @@ def _segmented(linestring: LineString) -> list[LineString]:
 # reference: https://gis.stackexchange.com/questions/367228/using-shapely-interpolate-to-evenly-re-sample-points-on-a-linestring-geodatafram
 def redistribute_vertices(geom, distance):
     if isinstance(geom, LineString):
-        if (num_vert := int(round(geom.length / distance))) == 0:
+        if (num_vert := round(geom.length / distance)) == 0:
             num_vert = 1
         return LineString(
             [

rl/Tutorials.ipynb

@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -52,14 +52,14 @@
    ],
    "source": [
     "# ### Step 1: Importing the Necessary Modules\n",
-    "# To begin, let’s import the required modules for the Epstein Civil Violence model:\n",
+    "# To begin, let's import the required modules for the Epstein Civil Violence model:\n",
     "\n",
     "from epstein_civil_violence.model import EpsteinCivilViolenceRL\n",
     "from epstein_civil_violence.server import run_model\n",
     "from epstein_civil_violence.train_config import config\n",
     "from train import train_model\n",
     "\n",
-    "# Here’s a breakdown of the modules:\n",
+    "# Here's a breakdown of the modules:\n",
     "# - `EpsteinCivilViolenceRL`: Contains the core model and environment.\n",
     "# - `run_model`: Configures and runs the model for inference.\n",
     "# - `config`: Defines the parameters for training the model.\n",
@@ -93,7 +93,7 @@
     "# ### Step 3: Running the Environment with Random Actions\n",
     "\n",
     "# To get a feel for how the environment operates, let's run it for a few steps using random actions.\n",
-    "# We’ll sample the action space for these actions:\n",
+    "# We'll sample the action space for these actions:\n",
     "\n",
     "for _ in range(10):\n",
     "    action_dict = {}\n",