Merge pull request #902 from PyPSA/pre-commit-ci-update-config

[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -51,7 +51,7 @@ repos:
 
   # Formatting with "black" coding style
 - repo: https://github.com/psf/black-pre-commit-mirror
-  rev: 23.12.1
+  rev: 24.1.1
   hooks:
       # Format Python files
   - id: black

scripts/build_retro_cost.py

@@ -607,21 +607,28 @@ def calculate_costs(u_values, l, cost_retro, window_assumptions):  # noqa: E741
     """
     return u_values.apply(
         lambda x: (
-            cost_retro.loc[x.name[3], "cost_var"]
-            * 100
-            * float(l)
-            * l_weight.loc[x.name[3]].iloc[0]
-            + cost_retro.loc[x.name[3], "cost_fix"]
-        )
-        * x.A_element
-        / x.A_C_Ref
-        if x.name[3] != "Window"
-        else (
-            (window_cost(x[f"new_U_{l}"], cost_retro, window_assumptions) * x.A_element)
+            (
+                cost_retro.loc[x.name[3], "cost_var"]
+                * 100
+                * float(l)
+                * l_weight.loc[x.name[3]].iloc[0]
+                + cost_retro.loc[x.name[3], "cost_fix"]
+            )
+            * x.A_element
             / x.A_C_Ref
-        )
-        if x.value > window_limit(float(l), window_assumptions)
-        else 0,
+            if x.name[3] != "Window"
+            else (
+                (
+                    (
+                        window_cost(x[f"new_U_{l}"], cost_retro, window_assumptions)
+                        * x.A_element
+                    )
+                    / x.A_C_Ref
+                )
+                if x.value > window_limit(float(l), window_assumptions)
+                else 0
+            )
+        ),
         axis=1,
     )
 
@@ -648,12 +655,14 @@ def calculate_new_u(u_values, l, l_weight, window_assumptions, k=0.035):  # noqa
     k: thermal conductivity
     """
     return u_values.apply(
-        lambda x: k / ((k / x.value) + (float(l) * l_weight.loc[x.name[3]]))
-        if x.name[3] != "Window"
-        else (
-            min(x.value, u_retro_window(float(l), window_assumptions))
-            if x.value > window_limit(float(l), window_assumptions)
-            else x.value
+        lambda x: (
+            k / ((k / x.value) + (float(l) * l_weight.loc[x.name[3]]))
+            if x.name[3] != "Window"
+            else (
+                min(x.value, u_retro_window(float(l), window_assumptions))
+                if x.value > window_limit(float(l), window_assumptions)
+                else x.value
+            )
         ),
         axis=1,
     )

scripts/plot_summary.py

@@ -281,12 +281,14 @@ def plot_balances():
 
         # remove trailing link ports
         df.index = [
-            i[:-1]
-            if (
-                (i not in ["co2", "NH3", "H2"])
-                and (i[-1:] in ["0", "1", "2", "3", "4"])
+            (
+                i[:-1]
+                if (
+                    (i not in ["co2", "NH3", "H2"])
+                    and (i[-1:] in ["0", "1", "2", "3", "4"])
+                )
+                else i
             )
-            else i
             for i in df.index
         ]
 

scripts/prepare_sector_network.py

@@ -458,9 +458,9 @@ def update_wind_solar_costs(n, costs):
                 )
             )
 
-            n.generators.loc[
-                n.generators.carrier == tech, "capital_cost"
-            ] = capital_cost.rename(index=lambda node: node + " " + tech)
+            n.generators.loc[n.generators.carrier == tech, "capital_cost"] = (
+                capital_cost.rename(index=lambda node: node + " " + tech)
+            )
 
 
 def add_carrier_buses(n, carrier, nodes=None):
@@ -2932,9 +2932,11 @@ def add_industry(n, costs):
         nodes,
         suffix=" low-temperature heat for industry",
         bus=[
-            node + " urban central heat"
-            if node + " urban central heat" in n.buses.index
-            else node + " services urban decentral heat"
+            (
+                node + " urban central heat"
+                if node + " urban central heat" in n.buses.index
+                else node + " services urban decentral heat"
+            )
             for node in nodes
         ],
         carrier="low-temperature heat for industry",
@@ -3529,10 +3531,9 @@ def lossy_bidirectional_links(n, carrier, efficiencies={}):
     )
 
     n.links.loc[carrier_i, "p_min_pu"] = 0
-    n.links.loc[
-        carrier_i, "efficiency"
-    ] = efficiency_static * efficiency_per_1000km ** (
-        n.links.loc[carrier_i, "length"] / 1e3
+    n.links.loc[carrier_i, "efficiency"] = (
+        efficiency_static
+        * efficiency_per_1000km ** (n.links.loc[carrier_i, "length"] / 1e3)
     )
     rev_links = (
         n.links.loc[carrier_i].copy().rename({"bus0": "bus1", "bus1": "bus0"}, axis=1)

scripts/simplify_network.py

@@ -468,9 +468,9 @@ def aggregate_to_substations(n, aggregation_strategies=dict(), buses_i=None):
         dijkstra(adj, directed=False, indices=bus_indexer), buses_i, n.buses.index
     )
 
-    dist[
-        buses_i
-    ] = np.inf  # bus in buses_i should not be assigned to different bus in buses_i
+    dist[buses_i] = (
+        np.inf
+    )  # bus in buses_i should not be assigned to different bus in buses_i
 
     for c in n.buses.country.unique():
         incountry_b = n.buses.country == c

scripts/solve_network.py

@@ -703,9 +703,11 @@ def add_lossy_bidirectional_link_constraints(n):
     def get_backward_i(forward_i):
         return pd.Index(
             [
-                re.sub(r"-(\d{4})$", r"-reversed-\1", s)
-                if re.search(r"-\d{4}$", s)
-                else s + "-reversed"
+                (
+                    re.sub(r"-(\d{4})$", r"-reversed-\1", s)
+                    if re.search(r"-\d{4}$", s)
+                    else s + "-reversed"
+                )
                 for s in forward_i
             ]
         )