[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

docs/source/api.mfa_system.rst

@@ -6,4 +6,4 @@ MFA System
 
 .. autofunction:: sodym.make_empty_flows
 
-.. autofunction:: sodym.make_empty_stocks
+.. autofunction:: sodym.make_empty_stocks

docs/source/api.top_level_functions.rst

@@ -1,3 +1,2 @@
 Top level functions
 ------------------------------
-

docs/source/conf.py

@@ -37,5 +37,5 @@
 html_theme = "sphinx_rtd_theme"
 # html_static_path = ['_static']
 html_theme_options = {
-    'collapse_navigation': False,
+    "collapse_navigation": False,
 }

docs/source/example1.nblink

@@ -1,4 +1,4 @@
 {
     "path": "../../examples/example1.ipynb",
     "extra-media": ["../../examples/pictures"]
-}
+}

docs/source/example2.nblink

@@ -1,4 +1,4 @@
 {
     "path": "../../examples/example2.ipynb",
     "extra-media": ["../../examples/pictures"]
-}
+}

docs/source/example3.nblink

@@ -1,4 +1,4 @@
 {
     "path": "../../examples/example3.ipynb",
     "extra-media": ["../../examples/pictures"]
-}
+}

docs/source/example5.nblink

@@ -1,4 +1,4 @@
 {
     "path": "../../examples/example5.ipynb",
     "extra-media": ["../../examples/pictures"]
-}
+}

docs/source/examples.rst

@@ -7,4 +7,4 @@ For a complete guide on how to use different parts of the library, refer to the
 The examples are available as Jupyter notebooks in the `examples` folder of the sodym repository.
 You can modify and run them interactively in a Jupyter notebook environment.
 
-All examples were created by Stefan Pauliuk for ODYM and adapted for sodym here.
+All examples were created by Stefan Pauliuk for ODYM and adapted for sodym here.

docs/source/getting_started.rst

@@ -1,4 +1,4 @@
 
 .. include:: ../../README.md
    :parser: myst_parser.sphinx_
-   :end-before: <!-- stop parsing here on readthedocs -->
+   :end-before: <!-- stop parsing here on readthedocs -->

examples/example1.py

@@ -5,7 +5,7 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.16.4
+#       jupytext_version: 1.16.6
 #   kernelspec:
 #     display_name: .venv
 #     language: python

examples/example2.py

@@ -5,7 +5,7 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.16.4
+#       jupytext_version: 1.16.6
 #   kernelspec:
 #     display_name: .venv
 #     language: python

examples/example3.py

@@ -5,7 +5,7 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.16.4
+#       jupytext_version: 1.16.6
 #   kernelspec:
 #     display_name: .venv
 #     language: python

examples/example5.ipynb

@@ -242,13 +242,19 @@
     "\n",
     "    def read_dimension(self, dimension_definition: DimensionDefinition) -> Dimension:\n",
     "        if (dim_name := dimension_definition.name) == \"region\":\n",
-    "            data = pd.read_excel(join(self.data_directory, \"example5_vehicle_lifetime.xlsx\"), \"Data\")\n",
-    "            other_data = pd.read_excel(join(self.data_directory, \"example5_vehicle_stock.xlsx\"), \"Data\")\n",
+    "            data = pd.read_excel(\n",
+    "                join(self.data_directory, \"example5_vehicle_lifetime.xlsx\"), \"Data\"\n",
+    "            )\n",
+    "            other_data = pd.read_excel(\n",
+    "                join(self.data_directory, \"example5_vehicle_stock.xlsx\"), \"Data\"\n",
+    "            )\n",
     "            data = (set(data[dim_name].unique())).intersection(set(other_data[dim_name].unique()))\n",
     "            data = list(data)\n",
     "            data.sort()\n",
     "        elif (dim_name := dimension_definition.name) in [\"waste\", \"material\"]:\n",
-    "            data = pd.read_excel(join(self.data_directory, \"example5_eol_recovery_rate.xlsx\"), \"Data\")\n",
+    "            data = pd.read_excel(\n",
+    "                join(self.data_directory, \"example5_eol_recovery_rate.xlsx\"), \"Data\"\n",
+    "            )\n",
     "            data.columns = [x.lower() for x in data.columns]\n",
     "            data = list(data[dim_name].unique())\n",
     "            data.sort()\n",
@@ -262,8 +268,7 @@
     "\n",
     "    def read_parameter_values(self, parameter_name: str, dims: DimensionSet) -> Parameter:\n",
     "        data = pd.read_excel(\n",
-    "            join(self.data_directory, f\"example5_{parameter_name.replace(' ', '_')}.xlsx\"),\n",
-    "            \"Data\",\n",
+    "            join(self.data_directory, f\"example5_{parameter_name.replace(\" \", \"_\")}.xlsx\"), \"Data\"\n",
     "        )\n",
     "        data = data.fillna(0)\n",
     "        if \"r\" in dims.letters:  # remove unwanted regions\n",

examples/example5.py

@@ -5,7 +5,7 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.16.4
+#       jupytext_version: 1.16.6
 #   kernelspec:
 #     display_name: .venv
 #     language: python
@@ -192,13 +192,19 @@ def years(self):
 
     def read_dimension(self, dimension_definition: DimensionDefinition) -> Dimension:
         if (dim_name := dimension_definition.name) == "region":
-            data = pd.read_excel(join(self.data_directory, "example5_vehicle_lifetime.xlsx"), "Data")
-            other_data = pd.read_excel(join(self.data_directory, "example5_vehicle_stock.xlsx"), "Data")
+            data = pd.read_excel(
+                join(self.data_directory, "example5_vehicle_lifetime.xlsx"), "Data"
+            )
+            other_data = pd.read_excel(
+                join(self.data_directory, "example5_vehicle_stock.xlsx"), "Data"
+            )
             data = (set(data[dim_name].unique())).intersection(set(other_data[dim_name].unique()))
             data = list(data)
             data.sort()
         elif (dim_name := dimension_definition.name) in ["waste", "material"]:
-            data = pd.read_excel(join(self.data_directory, "example5_eol_recovery_rate.xlsx"), "Data")
+            data = pd.read_excel(
+                join(self.data_directory, "example5_eol_recovery_rate.xlsx"), "Data"
+            )
             data.columns = [x.lower() for x in data.columns]
             data = list(data[dim_name].unique())
             data.sort()