[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -11,7 +11,7 @@ repos:
       exclude: ^uv.lock$|tests/trace_data/
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.15.0
+  rev: v0.16.5
   hooks:
     # Run the linter.
     - id: ruff

CLAUDE.md

@@ -16,7 +16,9 @@ helper functions.
 ```python
 def template_network_transmission_paths(iasr_tables, scenario):
     paths = _extract_flow_paths(iasr_tables["flow_path_transfer_capability"])
-    paths = _add_transfer_limits(paths, iasr_tables["interconnector_transfer_capability"])
+    paths = _add_transfer_limits(
+        paths, iasr_tables["interconnector_transfer_capability"]
+    )
     paths = _filter_to_scenario(paths, scenario)
     return paths
 ```

docs/api.md

@@ -18,7 +18,7 @@ edit the code to point at an ispypsa_config.yaml file of your choice, then run t
 Python script.
 
 ```Python
---8<-- "example_workflow.py"
+--8 < --"example_workflow.py"
 ```
 
 ## Configuration & Logging

docs/examples/example_api_workflow.md

@@ -4,5 +4,5 @@ edit the code to point at an ispypsa_config.yaml file of your choice, then run t
 Python script.
 
 ```Python
---8<-- "example_workflow.py"
+--8 < --"example_workflow.py"
 ```

docs/workflow.md

@@ -26,10 +26,7 @@ either the ISPyPSA CLI or API:
     ```Python
     from ispypsa.data_fetch import fetch_workbook
 
-    fetch_workbook(
-        workbook_version="6.0",
-        save_path="path/to/save/iasr_workbook.xlsx"
-    )
+    fetch_workbook(workbook_version="6.0", save_path="path/to/save/iasr_workbook.xlsx")
     ```
 
 ### Trace data
@@ -53,9 +50,7 @@ or API:
     from ispypsa.data_fetch import fetch_trace_data
 
     fetch_trace_data(
-        dataset_type="example",
-        dataset_year=2024,
-        save_directory="path/to/save/directory"
+        dataset_type="example", dataset_year=2024, save_directory="path/to/save/directory"
     )
     ```
 
@@ -84,7 +79,7 @@ parsing can be run using either the ISPyPSA CLI or API:
     build_local_cache(
         cache_path="path/to/cache/location",
         workbook_path="path/to/iasr_workbook.xlsx",
-        iasr_workbook_version="6.0"
+        iasr_workbook_version="6.0",
     )
     ```
 
@@ -140,9 +135,7 @@ run using either ISPyPSA CLI or API.
 
     # Get raw IASR tables
     iasr_tables = read_csvs(parsed_workbook_cache)
-    manually_extracted_tables = load_manually_extracted_tables(
-        config.iasr_workbook_version
-    )
+    manually_extracted_tables = load_manually_extracted_tables(config.iasr_workbook_version)
 
     # Create ISPyPSA inputs from IASR tables.
     ispypsa_tables = create_ispypsa_inputs_template(
@@ -276,7 +269,9 @@ you can also create the PyPSA friendly operational timeseries data at this stage
         operational_timeseries_location,
     )
 
-    write_csvs({"operational_snapshots": operational_snapshots}, pypsa_friendly_inputs_location)
+    write_csvs(
+        {"operational_snapshots": operational_snapshots}, pypsa_friendly_inputs_location
+    )
     ```
 
 ## PyPSA building and run
@@ -312,12 +307,8 @@ constraints are not preserved when the PyPSA network object is saved to disk.
     pypsa_friendly_inputs_location = (
         run_directory / config.paths.ispypsa_run_name / "pypsa_friendly"
     )
-    timeseries_location = (
-        pypsa_friendly_inputs_location / "capacity_expansion_timeseries"
-    )
-    pypsa_outputs_directory = (
-        run_directory / config.paths.ispypsa_run_name / "outputs"
-    )
+    timeseries_location = pypsa_friendly_inputs_location / "capacity_expansion_timeseries"
+    pypsa_outputs_directory = run_directory / config.paths.ispypsa_run_name / "outputs"
 
     # Load pypsa friendly inputs
     pypsa_tables = read_csvs(pypsa_friendly_inputs_location)
@@ -333,11 +324,7 @@ constraints are not preserved when the PyPSA network object is saved to disk.
     network.optimize.solve_model(solver_name=config.solver)
 
     # Save results.
-    save_pypsa_network(
-        network,
-        pypsa_outputs_directory,
-        "capacity_expansion"
-    )
+    save_pypsa_network(network, pypsa_outputs_directory, "capacity_expansion")
     ```
 
 ### Operational model
@@ -381,12 +368,8 @@ computational complexity.
     operational_timeseries_location = (
         pypsa_friendly_inputs_location / "operational_timeseries"
     )
-    pypsa_outputs_directory = (
-        run_directory / config.paths.ispypsa_run_name / "outputs"
-    )
-    capacity_expansion_pypsa_file = (
-        pypsa_outputs_directory / "capacity_expansion.nc"
-    )
+    pypsa_outputs_directory = run_directory / config.paths.ispypsa_run_name / "outputs"
+    capacity_expansion_pypsa_file = pypsa_outputs_directory / "capacity_expansion.nc"
 
     # Load pypsa friendly inputs
     pypsa_tables = read_csvs(pypsa_friendly_inputs_location)
@@ -410,9 +393,5 @@ computational complexity.
         overlap=config.temporal.operational.overlap,
     )
 
-    save_pypsa_network(
-        network,
-        pypsa_outputs_directory,
-        "operational"
-    )
+    save_pypsa_network(network, pypsa_outputs_directory, "operational")
     ```