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[pre-commit.ci] pre-commit autoupdate #819

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2337f1e
[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Feb 9, 2026
0204b6b
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Feb 9, 2026
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4 changes: 2 additions & 2 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ repos:
- id: trailing-whitespace
- id: end-of-file-fixer
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.14.11
rev: v0.15.0
hooks:
- id: ruff-format
types_or: [python, pyi, jupyter]
Expand All @@ -21,7 +21,7 @@ repos:
hooks:
- id: markdownlint-fix
- repo: https://github.com/kynan/nbstripout
rev: 0.8.2
rev: 0.9.0
hooks:
- id: nbstripout
files: ".ipynb"
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8 changes: 4 additions & 4 deletions docs/user-guide/add-region.ipynb
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Expand Up @@ -112,11 +112,11 @@
" )\n",
" g = sns.FacetGrid(data=sector_capacity, col=\"region\")\n",
" g.map_dataframe(\n",
" lambda data, **kwargs: data.pivot(\n",
" index=\"year\", columns=\"technology\", values=\"capacity\"\n",
" lambda data, **kwargs: (\n",
" data.pivot(index=\"year\", columns=\"technology\", values=\"capacity\")\n",
" .reindex(all_years)\n",
" .plot(kind=\"bar\", stacked=True, ax=plt.gca())\n",
" )\n",
" .reindex(all_years)\n",
" .plot(kind=\"bar\", stacked=True, ax=plt.gca())\n",
" )\n",
" g.add_legend()\n",
" g.set_ylabels(\"Capacity (PJ)\")\n",
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10 changes: 6 additions & 4 deletions src/muse/outputs/cache.py
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Expand Up @@ -384,10 +384,12 @@ def check_col(colname: str) -> str:
return colname

return reduce(
lambda left, right: pd.DataFrame.merge(left, right, how="outer", on=cols)
.T.groupby(check_col)
.last()
.T,
lambda left, right: (
pd.DataFrame.merge(left, right, how="outer", on=cols)
.T.groupby(check_col)
.last()
.T
),
data,
)

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12 changes: 8 additions & 4 deletions tests/test_minimum_service.py
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Expand Up @@ -71,10 +71,14 @@ def test_minimum_service_factor(check_mock, tmp_path, minimum_service_factors):
for process, service_factor in zip(processes, minimum_service_factors):
supply_process = supply[supply.technology == process]
supply_process.loc[:, "min_supply"] = supply_process.apply(
lambda x: x.capacity
* service_factor[x.timeslice]
* float(
techno_out[techno_out.ProcessName == process]["electricity"].values[0]
lambda x: (
x.capacity
* service_factor[x.timeslice]
* float(
techno_out[techno_out.ProcessName == process]["electricity"].values[
0
]
)
),
axis=1,
)
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