[MNT] Added pre-commit hook to sort imports (#1465)

sktime · Oct 3, 2021 · d718d55 · d718d55
1 parent a514460
commit d718d55
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Showing 4 changed files with 30 additions and 17 deletions.
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -1,17 +1,4 @@
 repos:
-- repo: https://github.com/psf/black
-  rev: 21.5b1
-  hooks:
-  - id: black
-    language_version: python3
-    # args: [--line-length 79]
-
-- repo: https://github.com/pycqa/flake8
-  rev: 3.9.2
-  hooks:
-  - id: flake8
-    exclude: docs/conf.py
-    additional_dependencies: [flake8-bugbear, flake8-print]
 
 - repo: https://github.com/pre-commit/pre-commit-hooks
   rev: v4.0.1
@@ -28,6 +15,26 @@ repos:
   - id: requirements-txt-fixer
   - id: trailing-whitespace
 
+- repo: https://github.com/pycqa/isort
+  rev: 5.8.0
+  hooks:
+    - id: isort
+      name: isort (python)
+
+- repo: https://github.com/psf/black
+  rev: 21.5b1
+  hooks:
+  - id: black
+    language_version: python3
+    # args: [--line-length 79]
+
+- repo: https://github.com/pycqa/flake8
+  rev: 3.9.2
+  hooks:
+  - id: flake8
+    exclude: docs/conf.py
+    additional_dependencies: [flake8-bugbear, flake8-print]
+
 - repo: https://github.com/mgedmin/check-manifest
   rev: "0.46"
   hooks:

diff --git a/docs/source/api_reference/transformations.rst b/docs/source/api_reference/transformations.rst
@@ -308,7 +308,7 @@ Theta
 FeatureSelection
 ~~~~~~~~~~~~~~~~
 
-.. currentmodule:: sktime.transformations.series.feauture_selection
+.. currentmodule:: sktime.transformations.series.feature_selection
 
 .. autosummary::
     :toctree: auto_generated/

diff --git a/setup.cfg b/setup.cfg
@@ -1,6 +1,10 @@
 [aliases]
 test = pytest
 
+[tool.isort]
+profile = "black"
+multi_line_output = 3
+
 [tool:pytest]
 # ignore certain folders and pytest warnings
 addopts =

diff --git a/sktime/forecasting/ets.py b/sktime/forecasting/ets.py
@@ -6,11 +6,13 @@
 __all__ = ["AutoETS"]
 __author__ = ["Hongyi Yang"]
 
-from sktime.forecasting.base.adapters import _StatsModelsAdapter
-from statsmodels.tsa.exponential_smoothing.ets import ETSModel as _ETSModel
 from itertools import product
-from joblib import delayed, Parallel
+
 import numpy as np
+from joblib import Parallel, delayed
+from statsmodels.tsa.exponential_smoothing.ets import ETSModel as _ETSModel
+
+from sktime.forecasting.base.adapters import _StatsModelsAdapter
 
 
 class AutoETS(_StatsModelsAdapter):