[pre-commit] pre-commit autoupdate (#573)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
PTB-MR · Dec 6, 2024 · b5a3b5b · b5a3b5b · github-actions · Dec 6, 2024
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Showing 6 changed files with 12 additions and 12 deletions.
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -14,14 +14,14 @@ repos:
       - id: mixed-line-ending
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.7.2
+    rev: v0.8.1
     hooks:
       - id: ruff # linter
         args: [--fix]
       - id: ruff-format # formatter
 
   - repo: https://github.com/crate-ci/typos
-    rev: v1.27.0
+    rev: typos-dict-v0.11.37
     hooks:
       - id: typos
 

diff --git a/src/mrpro/data/AcqInfo.py b/src/mrpro/data/AcqInfo.py
@@ -188,7 +188,7 @@ def tensor(data: np.ndarray) -> torch.Tensor:
                     data = data.astype(np.int32)
                 case np.uint32 | np.uint64:
                     data = data.astype(np.int64)
-            # Remove any uncessary dimensions
+            # Remove any unnecessary dimensions
             return torch.tensor(np.squeeze(data))
 
         def tensor_2d(data: np.ndarray) -> torch.Tensor:

diff --git a/src/mrpro/data/MoveDataMixin.py b/src/mrpro/data/MoveDataMixin.py
@@ -121,7 +121,7 @@ def parse1(
         ) -> parsedType:
             return device, dtype, non_blocking, copy, memory_format
 
-        if args and isinstance(args[0], torch.Tensor) or 'tensor' in kwargs:
+        if (args and isinstance(args[0], torch.Tensor)) or 'tensor' in kwargs:
             # overload 3 ("tensor" specifies the dtype and device)
             device, dtype, non_blocking, copy, memory_format = parse3(*args, **kwargs)
         elif args and isinstance(args[0], torch.dtype):

diff --git a/src/mrpro/utils/slice_profiles.py b/src/mrpro/utils/slice_profiles.py
@@ -8,7 +8,7 @@
 import torch
 from torch import Tensor
 
-__all__ = ['SliceProfileBase', 'SliceGaussian', 'SliceSmoothedRectangular', 'SliceInterpolate']
+__all__ = ['SliceGaussian', 'SliceInterpolate', 'SliceProfileBase', 'SliceSmoothedRectangular']
 
 
 class SliceProfileBase(abc.ABC, torch.nn.Module):

diff --git a/src/mrpro/utils/typing.py b/src/mrpro/utils/typing.py
@@ -28,4 +28,4 @@
     NestedSequence: TypeAlias = Any
     NumpyIndexerType: TypeAlias = Any
 
-__all__ = ['TorchIndexerType', 'NumpyIndexerType', 'NestedSequence']
+__all__ = ['NestedSequence', 'NumpyIndexerType', 'TorchIndexerType']
diff --git a/src/mrpro/utils/unit_conversion.py b/src/mrpro/utils/unit_conversion.py
@@ -6,15 +6,15 @@
 import torch
 
 __all__ = [
-    'ms_to_s',
-    's_to_ms',
-    'mm_to_m',
-    'm_to_mm',
+    'GYROMAGNETIC_RATIO_PROTON',
     'deg_to_rad',
-    'rad_to_deg',
     'lamor_frequency_to_magnetic_field',
+    'm_to_mm',
     'magnetic_field_to_lamor_frequency',
-    'GYROMAGNETIC_RATIO_PROTON',
+    'mm_to_m',
+    'ms_to_s',
+    'rad_to_deg',
+    's_to_ms',
 ]
 
 GYROMAGNETIC_RATIO_PROTON = 42.58 * 1e6
File	Stmts	Miss	Cover	Missing
src/mrpro/algorithms/csm
inati.py	24	1	96%	44
walsh.py	16	1	94%	34
src/mrpro/algorithms/dcf
dcf_voronoi.py	53	4	92%	15, 48–49, 76
src/mrpro/algorithms/optimizers
adam.py	20	1	95%	69
src/mrpro/algorithms/reconstruction
DirectReconstruction.py	28	16	43%	51–71, 85
IterativeSENSEReconstruction.py	13	1	92%	76
Reconstruction.py	50	22	56%	42, 54–56, 80–87, 104–113
RegularizedIterativeSENSEReconstruction.py	41	17	59%	96–100, 114–139
src/mrpro/data
AcqInfo.py	128	3	98%	26, 169, 207
CsmData.py	29	3	90%	15, 82–84
DcfData.py	45	8	82%	18, 66, 78–83
IData.py	67	9	87%	119, 125, 129, 159–167
IHeader.py	75	7	91%	75, 109, 127–131
KHeader.py	153	17	89%	25, 119–123, 150, 199, 210, 217–218, 221, 228, 260–271
KNoise.py	31	15	52%	39–52, 56–61
KTrajectory.py	69	5	93%	178–182
MoveDataMixin.py	140	18	87%	15, 113, 129, 143–145, 207, 323–325, 338, 417, 437–438, 440, 455–456, 458
QData.py	39	7	82%	42, 65–73
Rotation.py	674	35	95%	100, 198, 335, 433, 477, 495, 581, 583, 592, 626, 628, 691, 768, 773, 776, 791, 808, 813, 889, 1077, 1082, 1085, 1109, 1113, 1240, 1242, 1250–1251, 1315, 1397, 1690, 1846, 1881, 1885, 1996
SpatialDimension.py	232	21	91%	34, 104, 141, 148, 154, 274–276, 289–291, 325, 343, 356, 369, 382, 395, 404–405, 420, 429
acq_filters.py	12	1	92%	47
src/mrpro/data/_kdata
KData.py	134	18	87%	109–110, 125, 132, 142, 150, 204–205, 243, 248–249, 268–279
KDataRemoveOsMixin.py	29	2	93%	44, 46
KDataSelectMixin.py	19	2	89%	48, 63
KDataSplitMixin.py	48	3	94%	53, 84, 93
src/mrpro/data/traj_calculators
KTrajectoryCalculator.py	25	2	92%	23, 45
KTrajectoryIsmrmrd.py	13	2	85%	41, 50
KTrajectoryPulseq.py	29	1	97%	54
src/mrpro/operators
CartesianSamplingOp.py	89	3	97%	118, 157, 280
ConstraintsOp.py	60	2	97%	46, 48
EndomorphOperator.py	65	2	97%	228, 234
FiniteDifferenceOp.py	27	2	93%	40, 105
FourierOp.py	158	3	98%	263, 381, 386
Functional.py	71	5	93%	20–22, 117, 119
GridSamplingOp.py	136	9	93%	72–73, 82–83, 90–91, 94, 96, 98
LinearOperator.py	168	10	94%	55, 91, 190, 220, 261, 270, 278, 287, 295, 320
LinearOperatorMatrix.py	158	16	90%	82, 119, 152, 161, 166, 175–178, 191–194, 203, 215, 304, 331, 359
MultiIdentityOp.py	13	2	85%	43, 48
Operator.py	78	2	97%	25, 74
ProximableFunctionalSeparableSum.py	39	3	92%	50, 103, 110
SliceProjectionOp.py	173	8	95%	44, 61, 63, 69, 206, 227, 260, 300
WaveletOp.py	120	5	96%	152, 170, 205, 210, 233
ZeroPadOp.py	16	1	94%	30
src/mrpro/utils
filters.py	62	2	97%	44, 49
slice_profiles.py	46	6	87%	20, 36, 113–116, 149
sliding_window.py	34	1	97%	34
split_idx.py	10	2	80%	43, 47
summarize_tensorvalues.py	11	9	18%	20–29
typing.py	18	11	39%	8–23
zero_pad_or_crop.py	31	6	81%	26, 30, 54, 57, 60, 63
TOTAL	4869	352	93%