diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index b4d1d1ca583eb211cc4b0a5ab9b2243c715bb45e..49337196592599a11942ecd8fc24a4230c5a196d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -2,20 +2,20 @@
# See https://pre-commit.com/hooks.html for more hooks
repos:
- repo: https://github.com/timothycrosley/isort
- rev: 5.10.1
+ rev: 5.12.0
hooks:
- id: isort
args: [--settings-path, "pyproject.toml"]
- repo: https://github.com/psf/black
- rev: 22.3.0
+ rev: 23.1.0
hooks:
- id: black
- repo: https://github.com/pycqa/flake8
- rev: 3.9.2
+ rev: 6.0.0
hooks:
- id: flake8
- repo: https://github.com/pre-commit/pre-commit-hooks
- rev: v4.2.0
+ rev: v4.4.0
hooks:
- id: check-ast
- id: check-case-conflict
diff --git a/src/bob/bio/vein/algorithm/__init__.py b/src/bob/bio/vein/algorithm/__init__.py
index 07c12d726e46f970662aa5ccd8976611d2315b55..603b850a9ecc49d01083715739e7aae73950de31 100644
--- a/src/bob/bio/vein/algorithm/__init__.py
+++ b/src/bob/bio/vein/algorithm/__init__.py
@@ -3,6 +3,7 @@ from .MiuraMatch import MiuraMatch
from .Correlate import Correlate
from .HammingDistance import HammingDistance
+
# gets sphinx autodoc done right - don't remove it
def __appropriate__(*args):
"""Says object was actually declared here, an not on the import module.
diff --git a/src/bob/bio/vein/database/utfvp.py b/src/bob/bio/vein/database/utfvp.py
index aab0982ee3be82f56d2f2e04c6957db4b3ac1801..8f38b0fbd07a0680d2ffd7d707742d1aca70a8bb 100644
--- a/src/bob/bio/vein/database/utfvp.py
+++ b/src/bob/bio/vein/database/utfvp.py
@@ -164,7 +164,6 @@ class UtfvpDatabase(CSVDatabase):
dataset_protocols_hash = "fe51ba85"
def __init__(self, protocol):
-
super().__init__(
name=self.name,
protocol=protocol,
diff --git a/src/bob/bio/vein/database/verafinger_contactless.py b/src/bob/bio/vein/database/verafinger_contactless.py
index 4c71ff66cda9e05af6738f97c26d411990f64bfc..9e998d798c886cbc18c92865d99ca0971519765d 100644
--- a/src/bob/bio/vein/database/verafinger_contactless.py
+++ b/src/bob/bio/vein/database/verafinger_contactless.py
@@ -60,7 +60,6 @@ class VerafingerContactless(CSVDatabase):
dataset_protocols_hash = "656ef935"
def __init__(self, protocol):
-
super().__init__(
name=self.name,
protocol=protocol,
diff --git a/src/bob/bio/vein/extractor/MaximumCurvature.py b/src/bob/bio/vein/extractor/MaximumCurvature.py
index 518d5620f6102fc2bea09b79e528d56c72a30b0d..9119f7e0de0a233dd6241d0331d3fedb19e2c30d 100644
--- a/src/bob/bio/vein/extractor/MaximumCurvature.py
+++ b/src/bob/bio/vein/extractor/MaximumCurvature.py
@@ -472,7 +472,6 @@ class MaximumCurvature(Extractor):
plt.show()
def __call__(self, image):
-
finger_image = image[0].astype("float64")
finger_mask = image[1]
diff --git a/src/bob/bio/vein/extractor/RepeatedLineTracking.py b/src/bob/bio/vein/extractor/RepeatedLineTracking.py
index 6a9ec79752c833ba2586528ece614e4c9a841da5..dd62de036d065132124b73a6bcf57bace8a0a8e3 100644
--- a/src/bob/bio/vein/extractor/RepeatedLineTracking.py
+++ b/src/bob/bio/vein/extractor/RepeatedLineTracking.py
@@ -28,7 +28,6 @@ class RepeatedLineTracking(Extractor):
rescale=True,
seed=0, # Seed for the algorithm's random walk
):
-
# call base class constructor
Extractor.__init__(
self,
diff --git a/src/bob/bio/vein/extractor/WideLineDetector.py b/src/bob/bio/vein/extractor/WideLineDetector.py
index d64899ffcc42a25a9cdc5695d173658a59beeefe..8eace9a6ae0f28e72da5534c5fe6be054ec05beb 100644
--- a/src/bob/bio/vein/extractor/WideLineDetector.py
+++ b/src/bob/bio/vein/extractor/WideLineDetector.py
@@ -22,7 +22,6 @@ class WideLineDetector(Extractor):
g=41, # Sum of neigbourhood threshold
rescale=True,
):
-
# call base class constructor
Extractor.__init__(
self,
diff --git a/src/bob/bio/vein/preprocessor/__init__.py b/src/bob/bio/vein/preprocessor/__init__.py
index 51771f946176a8d461e9b5dde7f04eec846c3a81..c5e182e857c267b341f813302003490955f56321 100644
--- a/src/bob/bio/vein/preprocessor/__init__.py
+++ b/src/bob/bio/vein/preprocessor/__init__.py
@@ -6,6 +6,7 @@ from .normalize import Normalizer, NoNormalization, HuangNormalization
from .filters import Filter, NoFilter, HistogramEqualization
from .preprocessor import Preprocessor
+
# gets sphinx autodoc done right - don't remove it
def __appropriate__(*args):
"""Says object was actually declared here, an not on the import module.
diff --git a/src/bob/bio/vein/preprocessor/mask.py b/src/bob/bio/vein/preprocessor/mask.py
index 3e146fbd7f1487fc138075f337f152bef4b0e6e3..88e5ecd0b8eacef38d1447e5d9e28bec86c996ad 100644
--- a/src/bob/bio/vein/preprocessor/mask.py
+++ b/src/bob/bio/vein/preprocessor/mask.py
@@ -32,7 +32,6 @@ class Padder(object):
"""
def __init__(self, padding_width=5, padding_constant=51):
-
self.padding_width = padding_width
self.padding_constant = padding_constant
@@ -211,7 +210,6 @@ class KonoMask(Masker):
"""
def __init__(self, sigma=5, padder=Padder()):
-
self.sigma = sigma
self.padder = padder
diff --git a/src/bob/bio/vein/preprocessor/preprocessor.py b/src/bob/bio/vein/preprocessor/preprocessor.py
index 724c6432c94b868df9ffe4aa6ff1ca431962b7f7..2b45b3dcd19aaa893b422e83b59402fafe0adb0f 100644
--- a/src/bob/bio/vein/preprocessor/preprocessor.py
+++ b/src/bob/bio/vein/preprocessor/preprocessor.py
@@ -40,14 +40,13 @@ class Preprocessor(BasePreprocessor):
"""
def __init__(self, crop, mask, normalize, filter, **kwargs):
-
BasePreprocessor.__init__(
self,
crop=crop,
mask=mask,
normalize=normalize,
filter=filter,
- **kwargs
+ **kwargs,
)
self.crop = crop
diff --git a/src/bob/bio/vein/script/blame.py b/src/bob/bio/vein/script/blame.py
index eb2cfde6dde14843797548538fb5f11e2234ddeb..3773f1e10fe70ce1c355b70f9e42f3fc999a01f7 100644
--- a/src/bob/bio/vein/script/blame.py
+++ b/src/bob/bio/vein/script/blame.py
@@ -45,7 +45,6 @@ logger = bob.extension.log.setup("bob.bio.vein")
def main(user_input=None):
-
if user_input is not None:
argv = user_input
else:
diff --git a/src/bob/bio/vein/script/compare_rois.py b/src/bob/bio/vein/script/compare_rois.py
index 7eb79816774ba10d9e6774221e5c4f75cb71e4aa..f1198a8d61279a4aec3bc7e1fd222e9ee907bfaf 100644
--- a/src/bob/bio/vein/script/compare_rois.py
+++ b/src/bob/bio/vein/script/compare_rois.py
@@ -139,7 +139,6 @@ def mean_std_for_column(table, column):
def main(user_input=None):
-
if user_input is not None:
argv = user_input
else:
diff --git a/src/bob/bio/vein/script/view_sample.py b/src/bob/bio/vein/script/view_sample.py
index 24511e3ec1664624d51fa59a73c63b46bc94ef62..8ee768d89b28fc81090d4e6433387cb59d8337ec 100644
--- a/src/bob/bio/vein/script/view_sample.py
+++ b/src/bob/bio/vein/script/view_sample.py
@@ -198,7 +198,6 @@ def validate(args):
def main(user_input=None):
-
if user_input is not None:
argv = user_input
else:
diff --git a/tests/test_tools.py b/tests/test_tools.py
index c8e045e3a032314ca809f4281393bebb991c0ffa..4d6a6d49c78201a6566a79174876efc15717025e 100644
--- a/tests/test_tools.py
+++ b/tests/test_tools.py
@@ -30,7 +30,6 @@ def F(parts):
def test_cropping():
-
# tests if the cropping stage at preprocessors works as planned
from ..preprocessor.crop import FixedCrop, NoCrop
@@ -80,7 +79,6 @@ def test_cropping():
def test_masking():
-
# tests if the masking stage at preprocessors work as planned
from ..database import AnnotatedArray
@@ -128,7 +126,6 @@ def test_masking():
def test_preprocessor():
-
# tests the whole preprocessing mechanism, compares to matlab source
input_filename = F(("preprocessors", "0019_3_1_120509-160517.png"))
@@ -171,7 +168,6 @@ def test_preprocessor():
def test_max_curvature():
-
# Maximum Curvature method against Matlab reference
image = bob.io.base.load(F(("extractors", "image.hdf5")))
@@ -253,7 +249,6 @@ def test_max_curvature_HE():
def test_repeated_line_tracking():
-
# Repeated Line Tracking method against Matlab reference
input_img_filename = F(("extractors", "miurarlt_input_img.mat.hdf5"))
@@ -321,7 +316,6 @@ def test_repeated_line_tracking_HE():
def test_wide_line_detector():
-
# Wide Line Detector method against Matlab reference
input_img_filename = F(("extractors", "huangwl_input_img.mat.hdf5"))
@@ -388,7 +382,6 @@ def test_wide_line_detector_HE():
def test_miura_match():
-
# Match Ratio method against Matlab reference
template_filename = F(("algorithms", "0001_2_1_120509-135338.mat.hdf5"))
@@ -411,7 +404,6 @@ def test_miura_match():
def test_correlate():
-
# Match Ratio method against Matlab reference
template_filename = F(("algorithms", "0001_2_1_120509-135338.mat.hdf5"))
@@ -431,7 +423,6 @@ def test_correlate():
def test_assert_points():
-
# Tests that point assertion works as expected
area = (10, 5)
inside = [(0, 0), (3, 2), (9, 4)]
@@ -454,7 +445,6 @@ def test_assert_points():
def test_fix_points():
-
# Tests that point clipping works as expected
area = (10, 5)
inside = [(0, 0), (3, 2), (9, 4)]
@@ -478,7 +468,6 @@ def test_fix_points():
def test_poly_to_mask():
-
# Tests we can generate a mask out of a polygon correctly
area = (10, 9) # 10 rows, 9 columns
polygon = [(2, 2), (2, 7), (7, 7), (7, 2)] # square shape, (y, x) format
@@ -525,7 +514,6 @@ def test_poly_to_mask():
def test_mask_to_image():
-
# Tests we can correctly convert a boolean array into an image
# that makes sense according to the data types
sample = numpy.array([False, True])
@@ -560,7 +548,6 @@ def test_mask_to_image():
def test_jaccard_index():
-
# Tests to verify the Jaccard index calculation is accurate
a = numpy.array(
[
@@ -598,7 +585,6 @@ def test_jaccard_index():
def test_intersection_ratio():
-
# Tests to verify the intersection ratio calculation is accurate
a = numpy.array(
[
@@ -664,7 +650,6 @@ def test_intersection_ratio():
def test_hamming_distance():
-
from ..algorithm.HammingDistance import HammingDistance
HD = HammingDistance()