[pre-commit.ci] pre-commit autoupdate (#268)

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -17,7 +17,7 @@ repos:
 # Run ruff to lint and format
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.14.10
+  rev: v0.15.9
   hooks:
     # Run the linter.
   - id: ruff
@@ -27,7 +27,7 @@ repos:
 
   # Find common spelling mistakes in comments and docstrings
 - repo: https://github.com/codespell-project/codespell
-  rev: v2.4.1
+  rev: v2.4.2
   hooks:
   - id: codespell
     args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,WEGE,Wege,Eletricity'] # Ignore capital case words, e.g. country codes
@@ -36,14 +36,14 @@ repos:
 
   # YAML formatting
 - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
-  rev: v2.15.0
+  rev: v2.16.0
   hooks:
   - id: pretty-format-yaml
     exclude: pinned\.yaml$
     args: [--autofix, --indent, "2", --preserve-quotes]
 
   # Format Snakemake rule / workflow files
 - repo: https://github.com/snakemake/snakefmt
-  rev: v0.11.2
+  rev: v1.0.0
   hooks:
   - id: snakefmt

Snakefile

@@ -30,13 +30,13 @@ rule compile_cost_assumptions:
         manual_input="inputs/manual_input.csv",
     output:
         expand("outputs/costs_{year}.csv", year=config["years"]),
+    log:
+        pathlib.Path("logs", "compile_cost_assumptions.log"),
+    conda:
+        "environment.yaml"
     threads: 1
     resources:
         mem=500,
-    conda:
-        "environment.yaml"
-    log:
-        pathlib.Path("logs", "compile_cost_assumptions.log"),
     script:
         "scripts/compile_cost_assumptions.py"
 
@@ -54,13 +54,13 @@ rule compile_cost_assumptions_usa:
         nrel_atb_input_fuel_costs="inputs/US/fuel_costs_usa.csv",
     output:
         expand("outputs/US/costs_{year}.csv", year=config["years"]),
+    log:
+        pathlib.Path("logs", "compile_cost_assumptions_usa.log"),
+    conda:
+        "environment.yaml"
     threads: 1
     resources:
         mem=500,
-    conda:
-        "environment.yaml"
-    log:
-        pathlib.Path("logs", "compile_cost_assumptions_usa.log"),
     script:
         "scripts/compile_cost_assumptions_usa.py"
 
@@ -82,20 +82,20 @@ rule convert_EWG:
         EWG="docu/EWG_LUT_100RE_All_Sectors_Global_Report_2019.pdf",
     output:
         costs="inputs/EWG_costs.csv",
+    conda:
+        "environment.yaml"
     threads: 1
     resources:
         mem=500,
-    conda:
-        "environment.yaml"
     script:
         "scripts/convert_pdf_EWG_to_dataframe.py"
 
 
 rule all:
+    default_target: True
     input:
         rules.compile_cost_assumptions.output,
         rules.compile_cost_assumptions_usa.output,
-    default_target: True
 
 
 rule purge:

scripts/compile_cost_assumptions_usa.py

@@ -774,49 +774,55 @@ def pre_process_atb_input_file(
 
     # Modify the unit of the normalized Fixed O&M to %/yr
     atb_input_df["units"] = atb_input_df.apply(
-        lambda x: "%/year"
-        if x["core_metric_parameter"].casefold() == "fixed o&m"
-        else x["units"],
+        lambda x: (
+            "%/year"
+            if x["core_metric_parameter"].casefold() == "fixed o&m"
+            else x["units"]
+        ),
         axis=1,
     )
 
     # Modify the unit of CF to per unit
     atb_input_df["units"] = atb_input_df.apply(
-        lambda x: "per unit"
-        if x["core_metric_parameter"].casefold() == "cf"
-        else x["units"],
+        lambda x: (
+            "per unit" if x["core_metric_parameter"].casefold() == "cf" else x["units"]
+        ),
         axis=1,
     )
 
     # Modify the unit of Additional OCC to USD/kW instead of $/kW
     atb_input_df["units"] = atb_input_df.apply(
-        lambda x: "USD/kW"
-        if x["core_metric_parameter"].casefold() == "additional occ"
-        else x["units"],
+        lambda x: (
+            "USD/kW"
+            if x["core_metric_parameter"].casefold() == "additional occ"
+            else x["units"]
+        ),
         axis=1,
     )
 
     # Modify the unit of CAPEX to USD/kW instead of $/kW
     atb_input_df["units"] = atb_input_df.apply(
-        lambda x: "USD/kW"
-        if x["core_metric_parameter"].casefold() == "capex"
-        else x["units"],
+        lambda x: (
+            "USD/kW" if x["core_metric_parameter"].casefold() == "capex" else x["units"]
+        ),
         axis=1,
     )
 
     # Modify the unit of Variable O&M to USD/MWh instead of $/MWh
     atb_input_df["units"] = atb_input_df.apply(
-        lambda x: "USD/MWh"
-        if x["core_metric_parameter"].casefold() == "variable o&m"
-        else x["units"],
+        lambda x: (
+            "USD/MWh"
+            if x["core_metric_parameter"].casefold() == "variable o&m"
+            else x["units"]
+        ),
         axis=1,
     )
 
     # Modify the unit of Fuel cost O&M to USD/MWh instead of $/MWh
     atb_input_df["units"] = atb_input_df.apply(
-        lambda x: "USD/MWh"
-        if x["core_metric_parameter"].casefold() == "fuel"
-        else x["units"],
+        lambda x: (
+            "USD/MWh" if x["core_metric_parameter"].casefold() == "fuel" else x["units"]
+        ),
         axis=1,
     )