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[pre-commit.ci] pre-commit autoupdate #184

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[pre-commit.ci] pre-commit autoupdate #184

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482b1de
[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Oct 6, 2025
2272dd1
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Oct 6, 2025
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10 changes: 5 additions & 5 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ ci:

repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v5.0.0
rev: v6.0.0
hooks:
- id: check-added-large-files
args: [ '--maxkb=1000' ]
Expand Down Expand Up @@ -31,7 +31,7 @@ repos:
# - hatch-vcs

- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.15.0
rev: v1.18.2
hooks:
- id: mypy
files: src
Expand All @@ -51,7 +51,7 @@ repos:
- id: rst-directive-colons

- repo: https://github.com/asottile/pyupgrade
rev: v3.19.1
rev: v3.20.0
hooks:
- id: pyupgrade
args: [ --py39-plus ]
Expand Down Expand Up @@ -90,7 +90,7 @@ repos:
- id: rm-unneeded-f-str

- repo: https://github.com/python-jsonschema/check-jsonschema
rev: 0.32.1
rev: 0.34.0
hooks:
- id: check-github-workflows
- id: check-github-actions
Expand All @@ -103,7 +103,7 @@ repos:
- id: auto-walrus

- repo: https://github.com/astral-sh/ruff-pre-commit
rev: "v0.11.4"
rev: "v0.13.3"
hooks:
- id: ruff
types_or: [ python, pyi, jupyter ]
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2 changes: 1 addition & 1 deletion src/hepstats/hypotests/toyutils.py
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Expand Up @@ -178,7 +178,7 @@ def get_toyresult(self, poigen: POI, poieval: POIarray) -> ToyResult:

if index not in self.keys():
for k in self.keys():
poigen_k, poieval_k = k
poigen_k, _poieval_k = k
if poigen_k != poigen:
continue
if np.isin(poieval.values, k[-1].values).all():
Expand Down
2 changes: 1 addition & 1 deletion tests/conftest.py
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Expand Up @@ -99,7 +99,7 @@ def create_loss_func(npeak, nbins=None, nbkg=None, nameadd="", obs=None):

def create_sim_loss_func(npeak, nbins=None):
loss1, params1 = create_loss_func(npeak, nbins=nbins, nameadd="_1", obs="x1")
loss2, params2 = create_loss_func(npeak * 10, nbins=nbins, nameadd="_2", obs="x2", nbkg=500)
loss2, _params2 = create_loss_func(npeak * 10, nbins=nbins, nameadd="_2", obs="x2", nbkg=500)
loss = loss1 + loss2

return loss, params1
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