Apply lint fixes

examples/boid_flockers/Flocker Test.ipynb

@@ -8,9 +8,8 @@
    },
    "outputs": [],
    "source": [
-    "from boid_flockers.model import BoidFlockers\n",
-    "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
+    "from boid_flockers.model import BoidFlockers\n",
     "\n",
     "%matplotlib inline"
    ]

examples/el_farol/el_farol.ipynb

@@ -7,9 +7,7 @@
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
     "import seaborn as sns\n",
-    "\n",
     "from el_farol.model import ElFarolBar"
    ]
   },

examples/epstein_civil_violence/Epstein Civil Violence.ipynb

@@ -17,11 +17,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
     "%matplotlib inline\n",
     "\n",
-    "from epstein_civil_violence.agent import Citizen, Cop\n",
     "from epstein_civil_violence.model import EpsteinCivilViolence"
    ]
   },

examples/forest_fire/Forest Fire Model.ipynb

@@ -27,17 +27,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "\n",
     "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
     "\n",
     "%matplotlib inline\n",
     "\n",
-    "from mesa import Model, Agent\n",
-    "from mesa.time import RandomActivation\n",
-    "from mesa.space import Grid\n",
+    "from mesa import Agent, Model\n",
+    "from mesa.batchrunner import BatchRunner\n",
     "from mesa.datacollection import DataCollector\n",
-    "from mesa.batchrunner import BatchRunner"
+    "from mesa.space import Grid\n",
+    "from mesa.time import RandomActivation"
    ]
   },
   {

examples/pd_grid/analysis.ipynb

@@ -34,12 +34,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from pd_grid.model import PdGrid\n",
-    "\n",
-    "import numpy as np\n",
-    "\n",
     "import matplotlib.pyplot as plt\n",
-    "import matplotlib.gridspec\n",
+    "import numpy as np\n",
+    "from pd_grid.model import PdGrid\n",
     "\n",
     "%matplotlib inline"
    ]
@@ -75,7 +72,7 @@
     "            grid[y][x] = 0\n",
     "    ax.pcolormesh(grid, cmap=bwr, vmin=0, vmax=1)\n",
     "    ax.axis(\"off\")\n",
-    "    ax.set_title(\"Steps: {}\".format(model.schedule.steps))"
+    "    ax.set_title(f\"Steps: {model.schedule.steps}\")"
    ]
   },
   {

examples/wolf_sheep/wolf_sheep/agents.py

@@ -29,7 +29,7 @@ def step(self):
 
             # If there is grass available, eat it
             this_cell = self.model.grid.get_cell_list_contents([self.pos])
-            grass_patch = [obj for obj in this_cell if isinstance(obj, GrassPatch)][0]
+            grass_patch = next(obj for obj in this_cell if isinstance(obj, GrassPatch))
             if grass_patch.fully_grown:
                 self.energy += self.model.sheep_gain_from_food
                 grass_patch.fully_grown = False

gis/agents_and_networks/src/model/model.py

@@ -156,9 +156,9 @@ def _load_buildings_from_file(
         buildings_df = buildings_df.set_crs(self.data_crs, allow_override=True).to_crs(
             crs
         )
-        buildings_df["centroid"] = [
-            (x, y) for x, y in zip(buildings_df.centroid.x, buildings_df.centroid.y)
-        ]
+        buildings_df["centroid"] = list(
+            zip(buildings_df.centroid.x, buildings_df.centroid.y)
+        )
         building_creator = mg.AgentCreator(Building, model=self)
         buildings = building_creator.from_GeoDataFrame(buildings_df)
         self.space.add_buildings(buildings)

pyproject.toml

@@ -69,6 +69,7 @@ extend-ignore = [
 ]
 # Hardcode to Python 3.8.
 target-version = "py38"
+extend-include = ["*.ipynb"]
 
 [tool.isort]
 profile = "black"