Merge pull request #21 from martibosch/pre-commit-ci-update-config

style(pre-commit.ci): pre-commit autoupdate

.pre-commit-config.yaml

@@ -11,12 +11,12 @@ repos:
       - id: check-yaml
 
   - repo: https://github.com/commitizen-tools/commitizen
-    rev: v3.15.0
+    rev: v3.21.3
     hooks:
       - id: commitizen
 
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.1.0
+    rev: v4.0.0-alpha.8
     hooks:
       - id: prettier
         additional_dependencies: [prettier, prettier-plugin-toml, prettier-plugin-ini]
@@ -38,17 +38,17 @@ repos:
         args: ["-d relaxed"]
 
   - repo: https://github.com/python-jsonschema/check-jsonschema
-    rev: 0.28.0
+    rev: 0.28.1
     hooks:
       - id: check-github-workflows
 
   - repo: https://github.com/asottile/pyupgrade
-    rev: v3.15.0
+    rev: v3.15.2
     hooks:
       - id: pyupgrade
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.2.2
+    rev: v0.3.5
     hooks:
       - id: ruff
         args: [ --fix ]

detectree/__init__.py

@@ -1,4 +1,5 @@
 """detectree init."""
+
 from .classifier import Classifier, ClassifierTrainer
 from .lidar import LidarToCanopy, rasterize_lidar
 from .train_test_split import TrainingSelector

detectree/cli/main.py

@@ -1,4 +1,5 @@
 """detectree CLI."""
+
 import logging
 from os import path
 

detectree/image_descriptor.py

@@ -1,4 +1,5 @@
 """Compute image descriptors."""
+
 import cv2
 import numpy as np
 from PIL import Image

detectree/lidar.py

@@ -1,4 +1,5 @@
 """Utilities to get canopy information from LiDAR data."""
+
 import laspy
 import numpy as np
 import pandas as pd

detectree/pixel_features.py

@@ -1,4 +1,5 @@
 """Build pixel features."""
+
 import glob
 from os import path
 
@@ -184,9 +185,9 @@ def build_features_from_arr(self, img_rgb):
                     img_lab_l, ddepth=-1, kernel=oriented_kernel_arr
                 )
                 img_filtered_vec = img_filtered.flatten()
-                X[
-                    :, self.num_color_features + i * self.num_orientations + j
-                ] = img_filtered_vec
+                X[:, self.num_color_features + i * self.num_orientations + j] = (
+                    img_filtered_vec
+                )
 
         # entropy features
         # tpf.compute_entropy_features(X_img[:, self.entropy_slice],

detectree/pixel_response.py

@@ -1,4 +1,5 @@
 """Build pixel binary (tree/non-tree) responses."""
+
 import glob
 from os import path
 

detectree/utils.py

@@ -1,4 +1,5 @@
 """detectree general utility functions."""
+
 import datetime as dt
 import itertools
 import logging as lg