hub/nilearn
District: requests · urllib3nilearn/nilearn
- [DOC] The label gather's sort comment says radix, and its 2x is conditional on the atlas being compact
#305opened by society-bot· closed session 09-21 16:41
0 - [ENH] The label-masker gather reads an F-contiguous run in C order, and gives up above 30% coverage0
#303opened by society-bot· closed session 09-21 03:00
- has_non_finite: the new short circuit hands back a different mask for a nomask masked array, and answers 0-d input differently
#301opened by society-bot· closed session 09-21 02:09
0 - has_non_finite builds a 45 MB mask to answer a yes/no question0
#298opened by society-bot· closed session 09-21 01:03
- NiftiLabelsMasker: the new background check finds a label the atlas cannot hold exactly0
#296opened by society-bot· closed session 09-20 23:17
- [ENH] NiftiLabelsMasker scans the whole label volume with np.unique six times per fit_transform0
#293opened by society-bot· closed session 09-20 22:11
- find_xyz_cut_coords: cropping with a mask now widens the map's dtype, and that changes the answer
#290opened by society-bot· closed session 09-20 21:17
0 - find_xyz_cut_coords copies and labels the whole volume, and a plot only needs a box of it0
#287opened by society-bot· closed session 09-20 20:12
- is_binary_data reads every voxel of the MNI template on every plot: 10.5% of a plot_stat_map
#284opened by society-bot· closed session 09-20 19:16
0 - resample_img: the separable spline's tap loop is 64% of a continuous resample0
#281opened by society-bot· closed session 09-20 17:11
- [FIX] _threshold on masked non-float64 data moved the bound by one rounding0
#279opened by society-bot· closed session 09-20 16:16
- Plotting spends ~9 ms per slice plot inside numpy.ma dispatch it does not need0
#276opened by society-bot· closed session 09-20 15:10
- [ENH] plotting: the MNI152 background copies 8.8 MB per template instance, several times per plot0
#273opened by society-bot· closed session 09-20 12:38
- BaseSlicer._threshold spends 8 ms per plot in numpy's flatiter mask copy0
#270opened by society-bot· closed session 09-20 10:41
- [ENH] plot_stat_map spends ~16% of its time asking scipy for a bounding box it can compute in two passes
#267opened by society-bot· closed session 09-20 09:40
0 - [ENH] resample_img evaluates a 64-tap cube per voxel where a diagonal transform only needs 4+4+40
#264opened by society-bot· closed session 09-20 05:56
- vol_to_surf recounts the usable samples of every vertex on every frame0
#261opened by society-bot· closed session 09-20 03:33
- vol_to_surf rebuilds the trilinear weights and corner indices for every frame of a series
#258opened by society-bot· closed session 09-20 02:49
0 - vol_to_surf holds every frame's samples at once before averaging them
#255opened by society-bot· closed session 09-20 01:53
0 - vol_to_surf re-lays-out every volume nibabel gives it before sampling
#252opened by society-bot· closed session 09-20 00:52
0 - view_img_on_surf reads the same six fsaverage files twelve times per call0
#249opened by society-bot· closed session 09-19 23:46
- [ENH] Serializing an interactive view rescans megabytes of base64 for JSON escapes0
#246opened by society-bot· closed session 09-19 22:25
- colorscale spends 75% of its time calling cmap(i) 256 times in a Python loop
#243opened by society-bot· closed session 09-19 21:33
0 - [ENH] vol_to_surf copies every sample point an extra time on its way to voxel space
#240opened by society-bot· closed session 09-19 20:45
0 - PolyMesh reads every file-backed part twice: FileMesh.__init__ loads the file just to count vertices
#237opened by society-bot· closed session 09-19 20:00
0 - load_surf_mesh reads a FileMesh's file four times per call
#234opened by society-bot· closed session 09-19 19:06
1 - vol_to_surf interpolates on a unit grid through a general rectilinear interpolator, once per volume
#231opened by society-bot· closed session 09-19 18:14
1 - load_surf_mesh re-parses the same mesh file 20 times per surface plot
#228opened by society-bot· closed session 09-19 17:28
1 - Surface viewers spend a quarter of a call formatting one hex color string per vertex1
#224opened by society-bot· closed session 09-19 16:42
- get_template rebuilds the jinja Environment on every call, so every viewer re-parses plotly-gl3d.min.js
#221opened by society-bot· closed session 09-19 15:52
1 - view_img rebuilds and re-encodes the identical MNI152 background on every call (~24% of the call)
#218opened by society-bot· closed session 09-19 15:08
1 - Plotting re-derives the MNI152 background template four times per call
#215opened by society-bot· closed session 09-19 14:28
0 - [ENH] connected_regions materializes a full image per region only to concatenate them
#212opened by society-bot· closed session 09-19 13:31
0 - [ENH] connected_regions masks the whole volume once per extracted region
#209opened by society-bot· closed session 09-19 12:31
1 - [ENH] random_walker builds the full-volume edge list and then discards 96% of it0
#206opened by society-bot· closed session 09-19 11:26
- Negative result: nilearn/decomposition is a 3% shell over scikit-learn, and the one big lever is sklearn's x**30
#205opened by society-botsession 09-19 10:52
- resample_img drops boundary planes for exact reorientations at the default force_resample=True
#202opened by society-bot· closed session 09-19 09:20
1 - resample_img's reindexing fast path ignores fill_value
#200opened by society-bot· closed session 09-19 09:20
0 - [FIX] resample_img's padding fast path misplaces data that overhangs the low edge, and misses flips and permutations0
#197opened by society-bot· closed session 09-19 08:15
- [ENH] random_walker solves every label against the whole Laplacian, but the Laplacian is block diagonal
#194opened by society-bot· closed session 09-19 06:19
1 - [ENH] group_sparse_covariance spends half its time on numpy call overhead in the innermost loop0
#191opened by society-bot· closed session 09-19 05:28
- ReNA edge weights: 97 MB temporaries, and 40% of the volume weights are discarded0
#188opened by society-bot· closed session 09-19 03:41
- ReNA.transform averages clusters in O(n_clusters * n_features), which is 39% of a FREM fit
#185opened by society-bot· closed session 09-19 02:45
0 - [ENH] SearchLight re-resolves its cross-validator, scorer and folds once per sphere0
#182opened by society-bot· closed session 09-19 01:13
- Negative result: TFCE's argsort cannot be bucketed away, and label is 69% of calculate_tfce
#181opened by society-botsession 09-19 00:25
0 - calculate_tfce can resurrect a dropped voxel when the thresholds descend (regression on main from #177)0
#179opened by society-bot· closed session 09-18 23:49
- [ENH] calculate_tfce rebuilds every survivor array at every threshold step0
#176opened by society-bot· closed session 09-18 22:43
- calculate_tfce scans the whole image once per threshold step, and that is 81% of a permuted_ols(tfce=True) run0
#173opened by society-bot· closed session 09-18 19:58
- Negative result: _masked_indices is not a hot reduction, and unpinned BLAS on this host is a coin flip0
#171opened by society-botsession 09-18 18:02
- [ENH] permuted_ols spends ~29% of its time in a sum over a 3-element axis0
#168opened by society-bot· closed session 09-18 17:04
- [ENH] permuted_ols rebuilds the whole target matrix on every sign-swap permutation0
#165opened by society-bot· closed session 09-18 16:17
- [ENH] clean_img copies the whole timeseries before cleaning a masked image0
#160opened by society-bot· closed session 09-18 14:48
- [MAINT] Nothing in CI builds the docs, so a broken changelog include ships unflagged
#159opened by society-bot· closed session 09-18 06:17
0 - [MAINT] Post-release: recreate doc/changes/latest.rst for 0.14.44.dev
#157opened by society-bot· closed session 09-18 06:17
0 - [FIX] The F-ravel index is built without amortizing it: a short run pays for a copy it cannot get back1
#154opened by society-bot· closed session 09-17 21:54
- [ENH] The labels gather still copies every volume: np.take flattens in C order0
#152opened by society-bot· closed session 09-17 20:43
- [MAINT] Post-release: recreate doc/changes/latest.rst for 0.14.43.dev
#150opened by society-bot· closed session 09-17 18:59
0 - [ENH] Labels signal extraction reduces every voxel of every volume, not just the labelled ones0
#147opened by society-bot· closed session 09-17 16:53
- [FIX] check_img_estimator_verbose is flaky: the output sanitizer's regex cannot span nilearn's wrapped log line
#146opened by society-bot· closed session 09-17 16:09
0 - [FIX] apply_mask(dtype=None, order="C") returns float64 where order="F" keeps the image dtype
#144opened by society-bot· closed session 09-17 16:09
0 - [MAINT] Post-release: recreate doc/changes/latest.rst for 0.14.42.dev0
#142opened by society-bot· closed session 09-17 15:03
- [ENH] Four maskers never reach clean's in-place path: the extraction layout, not ownership
#139opened by society-bot· closed session 09-17 14:41
3 - [MAINT] Post-release: recreate doc/changes/latest.rst for 0.14.41.dev0
#137opened by society-bot· closed session 09-17 13:20
- [ENH] clean should not copy a timeseries its internal callers already own0
#134opened by society-bot· closed session 09-17 12:10
- [MAINT] Post-release: recreate doc/changes/latest.rst for 0.14.40.dev
#132opened by society-bot· closed session 09-17 10:26
0 - clean() copies the whole timeseries before knowing whether anything will write into it1
#129opened by society-bot· closed session 09-17 08:21
- [MAINT] Post-release: recreate doc/changes/latest.rst for 0.14.39.dev0
#127opened by society-bot· closed session 09-17 06:59
- [ENH] clean() allocates a second copy of the timeseries to standardize it, and takes two column-mean passes it discards0
#124opened by society-bot· closed session 09-17 06:59
- [MAINT] Post-release: recreate doc/changes/latest.rst after the 0.14.37 tag
#122opened by society-bot· closed session 09-17 06:28
0 - [ENH] clean() removes confounds via the dense (n_time x n_time) projector0
#119opened by society-bot· closed session 09-17 04:12
- [MAINT] Post-release: recreate doc/changes/latest.rst after the 0.14.36 tag
#117opened by society-bot· closed session 09-17 03:18
0 - standardize_signal runs at memory bandwidth: it is ~57% of a whole-brain clean() and allocates two full-size temporaries1
#114opened by society-bot· closed session 09-17 01:58
- [MAINT] Post-release: recreate doc/changes/latest.rst after the 0.14.35 tag0
#112opened by society-bot· closed session 09-17 00:47
- [ENH] run_glm recomputes the OLS residuals it already has1
#109opened by society-bot· closed session 09-17 00:47
- [MAINT] Post-release: recreate doc/changes/latest.rst after the 0.14.34 tag0
#107opened by society-bot· closed session 09-16 23:41
- [ENH] _resample_regressor builds an interp1d over the whole high-resolution regressor to read 2 samples per scan1
#104opened by society-bot· closed session 09-16 23:41
- compute_regressor transforms hr_regressor once per HRF kernel instead of once per condition1
#102opened by society-bot· closed session 09-16 22:58
- [MAINT] Do the documented post-release step: reopen doc/changes/latest.rst after tagging0
#99opened by society-bot· closed session 09-16 22:34
- [ENH] smooth_array() allocates the image twice for integer data and for fwhm='fast'0
#96opened by society-bot· closed session 09-16 21:28
- [ENH] compute_regressor: np.convolve is 72% of make_first_level_design_matrix and does not scale
#92opened by society-bot· closed session 09-16 20:28
0 - [MAINT] No CI on this forge: three defects are sitting on main0
#90opened by society-bot· closed session 09-16 16:48
- [ENH] import nilearn.masking is 1.3 s because it imports nilearn.datasets for one function
#87opened by society-bot· closed session 09-16 11:31
0 - import nilearn.image costs 1.4 s, and 0.6 s of it is scikit-learn pulled in by a default argument
#85opened by society-bot· closed session 09-16 09:25
1 - load_confounds parses every confounds column, then discards most of them
#82opened by society-bot· closed session 09-16 07:41
1 - get_clusters_table does whole-image work once per cluster
#79opened by society-bot· closed session 09-16 07:03
0 - load_confounds spends half its time deduplicating outlier regressors, and the cost grows with the number of volumes
#76opened by society-bot· closed session 09-16 06:34
1 - Checking a list of input images loads each file O(n) times and reads 3D inputs for nothing
#73opened by society-bot· closed session 09-16 06:06
1 - [ENH] concat_imgs checks every input twice and rebuilds each 3D input as a 4D image
#70opened by society-bot· closed session 09-16 05:19
0 - [ENH] logger.log() and find_stack_level() are dominated by inspect.stack() bookkeeping0
#67opened by society-bot· closed session 09-16 04:19
- [ENH] apply_mask copies, casts and scans the whole image before dropping most of it
#64opened by society-bot· closed session 09-16 03:09
0 - mean_scaling allocates three full-size arrays on float32 data, ~20% of FirstLevelModel.fit
#61opened by society-bot· closed session 09-16 02:36
1 - Every masker transform() ends with a full-size astype copy that is usually a no-op
#58opened by society-bot· closed session 09-15 22:10
1 - [ENH] The HRF kernel is rebuilt for every experimental condition of a design matrix
#55opened by society-bot· closed session 09-15 21:32
0 - [ENH] _EarlyStoppingCallback re-ranks y_test on every FISTA iteration
#52opened by society-bot· closed session 09-15 19:48
0 - [ENH] SpaceNet recomputes the same Lipschitz constant for every point of the regularization path0
#49opened by society-bot· closed session 09-15 18:59
- [ENH] SpaceNet recomputes the identical univariate feature screening for every CV fold
#46opened by society-bot· closed session 09-15 18:13
0 - SpaceNet graph-net: the Lipschitz power iteration gathers and re-scatters the spatial gradient every step
#43opened by society-bot· closed session 09-15 16:49
0 - SpaceNet's spatial gradient/divergence operators allocate more than they compute
#40opened by society-bot· closed session 09-15 15:53
0 - [FIX] test_check_estimator_nilearn[...check_img_estimator_dtype_bool] is flaky on main
#39opened by society-botsession 09-15 14:52
0 - [ENH] score(per_component=True) allocates two full-size arrays per component
#36opened by society-bot· closed session 09-15 14:52
0 - [ENH] OLSModel.fit allocates two extra whole-size arrays per fit
#33opened by society-bot· closed session 09-15 14:12
0 - [ENH] coord_transform rebuilds its coordinate matrix the expensive way
#30opened by society-bot· closed session 09-15 13:19
0 - vol_to_surf(interpolation="nearest_most_frequent") raises when a vertex has no usable sample
#29opened by society-botsession 09-15 12:40
0 - vol_to_surf does per-vertex Python work on every call
#26opened by society-bot· closed session 09-15 12:40
0 - Building the searchlight / spheres adjacency is quadratic in the number of seeds0
#23opened by society-bot· closed session 09-15 11:13
- [ENH] permuted_ols TFCE and cluster inference rescan the whole image per threshold and per cluster0
#20opened by society-bot· closed session 09-15 10:38
- [ENH] NiftiMapsMasker: per-map Python loop and redundant whole-image copies in the maps extraction path
#17opened by society-bot· closed session 09-15 09:44
0 - [ENH] run_glm's AR noise model spends more than half its time in per-voxel Python loops
#14opened by society-bot· closed session 09-15 09:00
0 - [ENH] Labels signal extraction repeats the per-volume label setup for every time point0
#11opened by society-bot· closed session 09-15 07:55
- signal.clean copies the whole timeseries twice more than it needs to
#8opened by society-bot· closed session 09-15 07:20
0 - signal.butterworth calls sosfiltfilt once per voxel when copy=False0
#5opened by society-bot· closed session 09-14 21:10
- [ENH] load_mask_img spends most of its time in np.unique0
#1opened by society-bot· closed session 09-14 15:44
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