[pre-commit.ci] pre-commit autoupdate (#176)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/psf/black: 23.11.0 → 24.1.1](psf/black@23.11.0...24.1.1)
- [github.com/igorshubovych/markdownlint-cli: v0.37.0 → v0.39.0](igorshubovych/markdownlint-cli@v0.37.0...v0.39.0)
- [github.com/pycqa/flake8: 6.1.0 → 7.0.0](PyCQA/flake8@6.1.0...7.0.0)
- [github.com/PyCQA/isort: 5.12.0 → 5.13.2](PyCQA/isort@5.12.0...5.13.2)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.pre-commit-config.yaml

@@ -13,22 +13,22 @@ repos:
       - id: mixed-line-ending
       - id: check-added-large-files
   - repo: https://github.com/psf/black
-    rev: 23.11.0
+    rev: 24.1.1
     hooks:
       - id: black
   - repo: https://github.com/igorshubovych/markdownlint-cli
-    rev: v0.37.0
+    rev: v0.39.0
     hooks:
       - id: markdownlint
   - repo: https://github.com/pycqa/flake8
-    rev: 6.1.0
+    rev: 7.0.0
     hooks:
       - id: flake8
         args:
           - "--max-line-length=88"
           - "--ignore=E203"
   - repo: https://github.com/PyCQA/isort
-    rev: 5.12.0
+    rev: 5.13.2
     hooks:
       - id: isort
         args:

stitching/exposure_error_compensator.py

@@ -10,9 +10,9 @@ class ExposureErrorCompensator:
     COMPENSATOR_CHOICES["gain_blocks"] = cv.detail.ExposureCompensator_GAIN_BLOCKS
     COMPENSATOR_CHOICES["gain"] = cv.detail.ExposureCompensator_GAIN
     COMPENSATOR_CHOICES["channel"] = cv.detail.ExposureCompensator_CHANNELS
-    COMPENSATOR_CHOICES[
-        "channel_blocks"
-    ] = cv.detail.ExposureCompensator_CHANNELS_BLOCKS
+    COMPENSATOR_CHOICES["channel_blocks"] = (
+        cv.detail.ExposureCompensator_CHANNELS_BLOCKS
+    )
     COMPENSATOR_CHOICES["no"] = cv.detail.ExposureCompensator_NO
 
     DEFAULT_COMPENSATOR = list(COMPENSATOR_CHOICES.keys())[0]

stitching/subsetter.py

@@ -49,9 +49,11 @@ def get_matches_graph(self, img_names, pairwise_matches):
         return cv.detail.matchesGraphAsString(
             img_names,
             pairwise_matches,
-            0.00001  # see issue #56
-            if (self.confidence_threshold == 0)
-            else self.confidence_threshold,
+            (
+                0.00001  # see issue #56
+                if (self.confidence_threshold == 0)
+                else self.confidence_threshold
+            ),
         )
 
     def get_indices_to_keep(self, features, pairwise_matches):