[pre-commit.ci] pre-commit autoupdate (#159)

* [pre-commit.ci] pre-commit autoupdate * Manual update * Run updated hooks. --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Hans-Martin von Gaudecker <[email protected]>
OpenSourceEconomics · Aug 20, 2024 · 2ac1ecf · 2ac1ecf
1 parent d9990e2
commit 2ac1ecf
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Showing 6 changed files with 11 additions and 6 deletions.
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -37,7 +37,7 @@ repos:
     hooks:
       - id: yamllint
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.5.3
+    rev: v0.6.1
     hooks:
       # Run the linter.
       - id: ruff
@@ -75,7 +75,7 @@ repos:
 
   # R specific hooks: https://github.com/lorenzwalthert/precommit
   - repo: https://github.com/lorenzwalthert/precommit
-    rev: v0.4.2
+    rev: v0.4.3
     hooks:
       - id: style-files
         args: [--style_pkg=styler, --style_fun=tidyverse_style]

diff --git a/documents/task_documents.py b/documents/task_documents.py
@@ -4,6 +4,7 @@
 
 import pytask
 from pytask_latex import compilation_steps as cs
+
 from template_project.config import BLD, DOCUMENTS, ROOT
 
 documents = ["paper", "presentation"]

diff --git a/tests/analysis/test_model.py b/tests/analysis/test_model.py
@@ -3,12 +3,13 @@
 import numpy as np
 import pandas as pd
 import pytest
+
 from template_project.analysis.model_template import fit_logit_model
 
 DESIRED_PRECISION = 10e-2
 
 
-@pytest.fixture()
+@pytest.fixture
 def data():
     rng = np.random.default_rng(seed=0)
     x = rng.normal(size=100_000)

diff --git a/tests/analysis/test_predict.py b/tests/analysis/test_predict.py
@@ -3,18 +3,19 @@
 import pandas as pd
 import pytest
 from pandas.testing import assert_frame_equal
+
 from template_project.analysis.predict_template import predict_prob_by_age
 
 
-@pytest.fixture()
+@pytest.fixture
 def data():
     out = pd.DataFrame([1, 2, 3], columns=["age"])
     out["education"] = ["high-school", "high-school", "university"]
     out["income"] = ["high", "low", "low"]
     return out
 
 
-@pytest.fixture()
+@pytest.fixture
 def model():
     class ModelClass:
         @staticmethod

diff --git a/tests/data_management/test_stats4schools_smoking.py b/tests/data_management/test_stats4schools_smoking.py
@@ -2,6 +2,7 @@
 import pandas as pd
 import pytest
 from pandas.testing import assert_series_equal
+
 from template_project.data_management.stats4schools_smoking_template import (
     _clean_current_smoker,
     _clean_gender,
@@ -15,7 +16,7 @@ def assert_categorical_equal(left, right):
     assert_series_equal(pd.Series(left), pd.Series(right))
 
 
-@pytest.fixture()
+@pytest.fixture
 def data():
     data = {
         "highest_qualification": [

diff --git a/tests/test_template.py b/tests/test_template.py
@@ -1,5 +1,6 @@
 import pytask
 from _pytask.outcomes import ExitCode
+
 from template_project import config
 from template_project.config import ROOT