[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -2,15 +2,15 @@
 # See https://pre-commit.com/hooks.html for more hooks
 repos:
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
     -   id: trailing-whitespace
     -   id: end-of-file-fixer
     -   id: check-yaml
     -   id: check-added-large-files
 
--   repo: https://github.com/psf/black
-    rev: 24.10.0
+-   repo: https://github.com/psf/black-pre-commit-mirror
+    rev: 26.1.0
     hooks:
     -   id: black
         args: [--safe, --line-length=100]
@@ -19,27 +19,27 @@ repos:
         language_version: python3.11
 
 -   repo: https://github.com/pycqa/docformatter
-    rev: v1.7.6
+    rev: v1.7.7
     hooks:
     -   id: docformatter
         additional_dependencies: [tomli]
         args: [--config, pyproject.toml]
 
 -   repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.11.2
+    rev: v1.19.1
     hooks:
     -   id: mypy
         additional_dependencies: [types-PyYAML, types-tqdm]
 
 -   repo: https://github.com/pycqa/doc8
-    rev: v1.1.2
+    rev: v2.0.0
     hooks:
     -   id: doc8
         files: ^docs/.*\.(rst|md)$
         args: [--ignore, D001]
 
 -   repo: https://github.com/pycqa/flake8
-    rev: 7.1.1
+    rev: 7.3.0
     hooks:
     -   id: flake8
 

alea/ces_source.py

@@ -10,7 +10,6 @@
 from multihist import Hist1d
 from alea.ces_transformation import Transformation
 
-
 MINIMAL_ENERGY_RESOLUTION = 0.05
 
 
@@ -156,11 +155,9 @@ def _check_histogram(self, h: Hist1d):
         histogram_max = np.max(h.bin_edges)
         histogram_min = np.min(h.bin_edges)
         if self.min_e > histogram_max or self.max_e < histogram_min:
-            raise ValueError(
-                f"The histogram edge ({histogram_min},{histogram_max}) \
+            raise ValueError(f"The histogram edge ({histogram_min},{histogram_max}) \
                 does not overlap with the analysis space ({self.min_e},{self.max_e}) \
-                remove this background please:)"
-            )
+                remove this background please:)")
 
     def _get_transformations(self):
         """Create and return all transformations to be applied."""

alea/submitters/htcondor.py

@@ -29,7 +29,6 @@
 from alea.submitter import Submitter
 from alea.utils import TEMPLATE_RECORDS, load_yaml, dump_yaml
 
-
 DEFAULT_IMAGE = "/cvmfs/singularity.opensciencegrid.org/xenonnt/base-environment:latest"
 WORK_DIR = f"/scratch/{getpass.getuser()}/workflows"
 TOP_DIR = Path(__file__).resolve().parents[2]

alea/submitters/slurm.py

@@ -6,7 +6,6 @@
 
 from alea.submitter import Submitter
 
-
 # suggested default arguments for utilix.batchq.submit_job
 # for XENONnT collaboration
 BATCHQ_DEFAULT_ARGUMENTS = {

tests/test_gaussian_model.py

@@ -6,7 +6,6 @@
 
 from alea.examples import GaussianModel
 
-
 gaussian_model_parameter_definition = {
     "mu": {
         "fit_guess": 0.0,

tests/test_runner.py

@@ -11,7 +11,6 @@
 
 from .test_gaussian_model import gaussian_model_parameter_definition
 
-
 COMPUTE_CONFIDENCE_INTERVAL = True