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Coverage Report

File	Stmts	Miss	Cover	Missing
bdpy/bdata
bdata.py	399	195	51%	79, 104, 109, 113, 118, 122, 132–134, 190, 233–239, 252–262, 276–277, 310, 314, 318–356, 405–411, 419–420, 425–426, 443–450, 468–469, 475, 508, 539, 548, 560, 589–598, 610, 625, 661, 683–691, 696–729, 738, 750–757, 761–767, 771–799, 803–824, 828–862, 866–868, 872–874, 878–887
featureselector.py	64	12	81%	62–67, 69–74
metadata.py	67	1	99%	84
utils.py	113	37	67%	71, 82, 85–86, 95, 127–173, 201, 246, 258, 263
bdpy/dataform
datastore.py	107	85	21%	59–75, 90–93, 97–98, 102–113, 116–119, 122–127, 131–132, 137–158, 190–197, 222–259, 262–265
features.py	298	165	45%	31–32, 43–46, 90–92, 101–103, 107, 111, 115, 119, 152–153, 157–161, 168–197, 214–215, 224–225, 232–236, 274, 288, 305–319, 323, 327, 331, 335, 339, 343, 347, 351, 355, 359, 364–394, 398–418, 422–462, 465, 470–477, 491–493, 496–499, 502–505, 508–512, 515–516, 536–549
kvs.py	177	13	93%	21, 24, 114, 118, 127–131, 171, 173, 185, 254, 282
pd.py	9	5	44%	25–27, 43–44
sparse.py	67	7	90%	29, 52–58, 74, 109, 123
utils.py	12	12	0%	3–18
bdpy/dataset
utils.py	45	45	0%	3–98
bdpy/distcomp
distcomp.py	92	18	80%	33, 35, 49, 53, 55, 66–70, 74, 76, 81–82, 89–93, 97
bdpy/dl
caffe.py	60	60	0%	4–129
bdpy/dl/torch
base.py	43	24	44%	31–41, 48, 54, 60, 63, 73–83, 90, 96, 102, 105
dataset.py	74	74	0%	1–195
models.py	333	226	32%	148–169, 297–316, 327–331, 345–350, 442–494, 515–517, 528–587, 611–614, 625–684, 708–711, 722–771, 790–793, 804–853, 872–875
torch.py	121	55	55%	188–225, 228, 231–243, 246–281
bdpy/dl/torch/domain
core.py	46	2	96%	47, 63
feature_domain.py	24	1	96%	30
image_domain.py	64	1	98%	179
bdpy/evals
metrics.py	95	45	53%	49–53, 82–112, 130–142, 151–152, 157, 172–179
bdpy/feature
feature.py	30	2	93%	69–70
bdpy/fig
__init__.py	5	5	0%	6–10
draw_group_image_set.py	90	90	0%	3–182
fig.py	88	88	0%	16–164
makeplots2.py	257	257	0%	1–602
makeplots.py	336	336	0%	1–729
tile_images.py	59	59	0%	1–193
bdpy/ml
crossvalidation.py	59	27	54%	47–48, 113–114, 117–118, 138, 164–196
learning.py	311	96	69%	43–44, 48, 52, 59, 91–104, 109–125, 128, 158–170, 184–209, 293, 309, 313–315, 318–319, 329, 339–340, 345–346, 356–364, 367–368, 376, 411–418, 439, 452, 460, 469, 501–503, 542, 555, 558, 567, 576, 581, 602
model.py	140	120	14%	29–39, 54–70, 86–144, 156–169, 184–222, 225, 230–250, 254–258, 271–285
searchlight.py	16	13	19%	32–51
bdpy/mri
fmriprep.py	497	451	9%	25–34, 38, 44–62, 65–75, 78–89, 92–160, 163–194, 230–360, 367–380, 384, 388–390, 394, 398–400, 410–434, 437–454, 457–464, 471–472, 475–491, 494, 498, 502–815, 819–831, 842–862
glm.py	40	36	10%	46–95
image.py	24	19	21%	29–54
load_epi.py	28	18	36%	36–50, 56–63, 82–88
load_mri.py	19	16	16%	16–36
roi.py	248	217	12%	37–100, 165–235, 241–314, 320–387, 399–466, 473–499
spm.py	158	139	12%	26–155, 162–166, 170, 174–179, 183–300
bdpy/opendata
__init__.py	1	1	0%	1
openneuro.py	210	210	0%	1–329
bdpy/pipeline
config.py	36	2	94%	37–38
bdpy/preproc
interface.py	52	16	69%	111–123, 148–157
preprocessor.py	129	69	47%	35, 44, 112–114, 121–128, 138–189, 196–227
select_top.py	23	1	96%	55
bdpy/recon
utils.py	55	55	0%	4–146
bdpy/recon/torch
icnn.py	161	161	0%	15–478
bdpy/recon/torch/modules
critic.py	44	2	95%	58, 132
encoder.py	29	1	97%	29
generator.py	72	5	93%	47, 52, 68, 128, 309
latent.py	34	3	91%	16, 21, 32
bdpy/recon/torch/task
inversion.py	83	10	88%	19, 37, 42, 47, 54, 59, 64, 69, 93, 207
bdpy/stats
corr.py	43	3	93%	57, 68, 102
bdpy/task
callback.py	71	4	94%	114, 161, 166, 234
core.py	16	1	94%	50
bdpy/util
info.py	47	36	23%	19–79
utils.py	36	8	78%	60, 116–121, 140–142
TOTAL	5943	3660	38%

Tests	Skipped	Failures	Errors	Time
204	0 :zzz:	0 :x:	0 :fire:	18.096s :stopwatch:

KamitaniLab / bdpy

Update makeplots #95