Merge pull request #576 from light-curve/copilot/replace-black-with-ruff-formatter

Replace black with ruff formatter in pre-commit

Author: hombit

.pre-commit-config.yaml

@@ -17,18 +17,13 @@ repos:
     # Python
     -   id: check-docstring-first # checks a common error of defining a docstring after code
     -   id: debug-statements # checks for debugger imports and py37+ `breakpoint()` calls in python source
-# Ruff should go before black, because its output is not formatted
 -   repo: https://github.com/astral-sh/ruff-pre-commit
     rev: 'v0.14.4'
     hooks:
         -   id: ruff
             args: [--fix, --exit-non-zero-on-fix]
--   repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 25.11.0
-    hooks:
-    -   id: black
-        name: black
-        args: ['--config=./light-curve/pyproject.toml', './light-curve']
+        -   id: ruff-format
+            args: ['--config=./light-curve/pyproject.toml', './light-curve']
 -   repo: local
     hooks:
     -   id: cargo-fmt

light-curve/light_curve/light_curve_py/minuit_ml.py

@@ -77,7 +77,7 @@ def logcdf(x):
             result = np.zeros(len(x))
 
             idx = x < -5
-            result[idx] = -x[idx] ** 2 / 2 - 1 / x[idx] ** 2 - 0.9189385336 - np.log(-x[idx])
+            result[idx] = -(x[idx] ** 2) / 2 - 1 / x[idx] ** 2 - 0.9189385336 - np.log(-x[idx])
             result[~idx] = np.log(0.5) + np.log1p(erf(x[~idx] / np.sqrt(2)))
 
             return result

light-curve/pyproject.toml

@@ -60,7 +60,6 @@ dev = [
     "cesium",
     "joblib",
     "pandas",
-    "black",
     "ruff",
 ]
 # cesium and iminuit don't support free-threading yet
@@ -73,7 +72,6 @@ dev-free-threading = [
     "scipy",
     "joblib",
     "pandas",
-    "black",
     "ruff",
 ]
 

light-curve/tests/light_curve_py/features/test_rainbow.py

@@ -82,7 +82,6 @@ def test_noisy_all_functions_combination():
 
     for idx_b in range(len(bolometric_names)):
         for idx_t in range(len(temperature_names)):
-
             expected = [*bolometric_params[idx_b], *temperature_params[idx_t], 1.0]
 
             feature = RainbowFit.from_angstrom(