Add ScaledFunctional implementing scalar*Functional

[github-actions[bot]]

Coverage Report

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	42	23	45%	77–78, 88–98, 113–124, 138–149
Reconstruction.py	51	24	53%	41, 53–55, 79–86, 103–114
src/mrpro/data
AcqInfo.py	128	2	98%	174, 214
CsmData.py	28	3	89%	14, 81–83
DcfData.py	44	8	82%	17, 65, 77–82
IData.py	67	9	87%	119, 125, 129, 159–167
IHeader.py	75	7	91%	75, 109, 127–131
KHeader.py	164	17	90%	24, 126–130, 157, 207, 218, 225–226, 229, 236, 275–286
KNoise.py	31	15	52%	39–52, 56–61
KTrajectory.py	69	5	93%	178–182
MoveDataMixin.py	126	14	89%	14, 109, 125, 139–141, 202, 265, 279, 358, 378–379, 396–397
QData.py	39	7	82%	42, 65–73
Rotation.py	447	22	95%	96, 277, 362, 364, 391, 446, 451, 454, 469, 486, 491, 634, 639, 642, 658, 662, 736, 738, 746–747, 987, 1069
SpatialDimension.py	46	2	96%	64, 103
TrajectoryDescription.py	14	1	93%	23
acq_filters.py	10	1	90%	47
src/mrpro/data/_kdata
KData.py	105	16	85%	108–109, 118, 126, 180–181, 216, 221–222, 241–252
KDataRemoveOsMixin.py	29	2	93%	44, 46
KDataSelectMixin.py	20	2	90%	47, 63
KDataSplitMixin.py	48	3	94%	50, 80, 89
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	50	9	82%	49–50, 55–56, 61–62, 88, 91, 114
ConstraintsOp.py	60	2	97%	46, 48
EndomorphOperator.py	64	2	97%	225, 231
FiniteDifferenceOp.py	27	2	93%	40, 105
FourierOp.py	77	1	99%	131
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	160	12	92%	54, 90, 189, 217, 258, 267, 275, 284, 292, 303, 401, 406
MultiIdentityOp.py	13	2	85%	44, 49
Operator.py	76	2	97%	24, 67
ProximableFunctionalSeparableSum.py	38	3	92%	49, 102, 109
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
modify_acq_info.py	17	1	94%	12
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	12	7	42%	6–15
zero_pad_or_crop.py	31	6	81%	26, 30, 54, 57, 60, 63
TOTAL	4042	308	92%

Tests	Skipped	Failures	Errors	Time
1869	0 :zzz:	0 :x:	0 :fire:	1m 34s :stopwatch:

[fzimmermann89]

currently torch.tensor(1.) * L2SquaredFunctional() will result in mypy type Tensor|Functional. This is caused by wrong type hints in pytorch. I should fix https://github.com/pytorch/pytorch/pull/1353 and get it merged..

[github-actions[bot]]

:books: Documentation

:file_folder: Download as zip :mag: View online

[fzimmermann89]

Scratch my previous responses. Scale must be float. The type hints in rmul must be complex, but rmul should return not implemented for complex.

[fzimmermann89]

pre-commit.ci autofix

[guastinimara]

nice! I like it like this :)

[fzimmermann89]

Please remember to do review