WenjieDu / PyPOTS / 10822158814
83%
main: 84%

LAST BUILD BRANCH: dev
DEFAULT BRANCH: main
Ran
Jobs 6
Files 341
Run time 2min
Badge
Embed ▾
README BADGES
x

If you need to use a raster PNG badge, change the '.svg' to '.png' in the link

Markdown

Textile

RDoc

HTML

Rst
coverage: 83.288% (+0.02%) from 83.266%
10822158814

Pull #509

github

web-flow 
Merge 4885f624e into fdd3d322a
Pull Request #509: Apply line-length=120 to black format

437 of 618 new or added lines in 157 files covered. (70.71%)

85 existing lines in 39 files now uncovered.

11263 of 13523 relevant lines covered (83.29%)

4.99 hits per line

New Missed Lines in Diff

Lines Coverage ∆ File
1
78.38
 -2.7% pypots/cli/env.py
1
0.0
 0.0% pypots/cli/pypots_cli.py
1
90.0
 0.0% pypots/data/checking.py
1
83.75
 0.0% pypots/data/dataset/base.py
1
50.0
 0.0% pypots/data/load_specific_datasets.py
1
81.63
 0.0% pypots/data/saving/h5.py
1
58.33
 0.0% pypots/data/utils.py
1
98.28
 0.0% pypots/forecasting/csdi/core.py
1
94.74
 0.0% pypots/imputation/imputeformer/model.py
1
94.94
 0.0% pypots/imputation/itransformer/model.py
1
88.24
 0.0% pypots/imputation/locf/model.py
1
94.59
 0.0% pypots/imputation/nonstationary_transformer/model.py
1
95.56
 0.0% pypots/imputation/saits/model.py
1
94.87
 0.0% pypots/imputation/transformer/model.py
1
97.5
 0.0% pypots/nn/modules/dlinear/backbone.py
1
77.22
 0.0% pypots/nn/modules/moderntcn/backbone.py
1
87.37
 0.0% pypots/nn/modules/raindrop/backbone.py
1
93.75
 0.0% pypots/nn/modules/revin/layers.py
1
91.59
 0.0% pypots/nn/modules/scinet/layers.py
1
90.36
 0.0% pypots/nn/modules/stemgnn/backbone.py
1
95.45
 0.0% pypots/nn/modules/timesnet/layers.py
1
82.11
 0.0% pypots/nn/modules/transformer/embedding.py
1
94.92
 0.0% pypots/nn/modules/vader/layers.py
1
80.0
 0.0% pypots/optim/lr_scheduler/lambda_lrs.py
1
81.25
 0.0% pypots/optim/lr_scheduler/step_lrs.py
1
82.61
 0.0% pypots/utils/metrics/classification.py
2
83.54
 1.27% pypots/cli/doc.py
2
88.16
 0.0% pypots/clustering/crli/model.py
2
76.19
 0.0% pypots/data/saving/pickle.py
2
81.19
 0.0% pypots/forecasting/csdi/data.py
2
87.84
 0.0% pypots/imputation/usgan/model.py
2
54.84
 0.0% pypots/nn/modules/fedformer/autoencoder.py
2
76.92
 0.0% pypots/nn/modules/film/layers.py
2
77.59
 0.0% pypots/nn/modules/gpvae/layers.py
2
53.98
 0.0% pypots/nn/modules/patchtst/layers.py
2
69.19
 0.0% pypots/nn/modules/raindrop/layers.py
2
86.92
 0.0% pypots/nn/modules/scinet/backbone.py
2
76.19
 0.0% pypots/optim/lr_scheduler/constant_lrs.py
2
78.26
 0.0% pypots/optim/lr_scheduler/linear_lrs.py
2
78.95
 0.0% pypots/optim/lr_scheduler/multistep_lrs.py
2
70.37
 0.0% pypots/utils/metrics/error.py
3
74.77
 0.0% pypots/classification/base.py
3
0.0
 0.0% pypots/cli/tuning.py
3
86.03
 0.0% pypots/forecasting/csdi/model.py
3
77.48
 0.0% pypots/imputation/base.py
3
85.61
 0.76% pypots/imputation/csdi/model.py
3
86.21
 0.0% pypots/imputation/gpvae/model.py
3
79.0
 0.0% pypots/nn/modules/crossformer/layers.py
3
85.06
 0.0% pypots/nn/modules/csdi/backbone.py
3
85.71
 0.0% pypots/nn/modules/gpvae/backbone.py
3
69.05
 0.0% pypots/nn/modules/informer/layers.py
4
71.43
 0.0% pypots/base.py
4
71.74
 0.0% pypots/classification/raindrop/core.py
4
85.43
 0.0% pypots/clustering/vader/model.py
4
71.57
 0.0% pypots/data/generating.py
4
36.94
 0.0% pypots/forecasting/base.py
4
51.52
 0.0% pypots/forecasting/bttf/core.py
4
74.38
 0.0% pypots/nn/modules/autoformer/layers.py
4
78.08
 0.0% pypots/nn/modules/koopa/layers.py
5
38.83
 0.0% pypots/clustering/base.py
5
76.53
 0.0% pypots/imputation/csdi/data.py
6
26.22
 0.0% pypots/nn/modules/reformer/local_attention.py
7
64.49
 0.0% pypots/nn/modules/reformer/lsh_attention.py
8
37.02
 0.0% pypots/nn/modules/timemixer/backbone.py
9
0.0
 0.0% pypots/utils/visual/clustering.py
23
45.99
 -0.18% pypots/nn/modules/fedformer/layers.py

Uncovered Existing Lines

Lines Coverage ∆ File
1
94.74
 0.0% pypots/imputation/imputeformer/model.py
1
91.59
 0.0% pypots/nn/modules/scinet/layers.py
1
88.16
 0.0% pypots/clustering/crli/model.py
1
0.0
 0.0% pypots/cli/pypots_cli.py
1
71.43
 0.0% pypots/base.py
1
83.75
 0.0% pypots/data/dataset/base.py
1
26.22
 0.0% pypots/nn/modules/reformer/local_attention.py
1
50.0
 0.0% pypots/data/load_specific_datasets.py
1
94.92
 0.0% pypots/nn/modules/vader/layers.py
1
76.92
 0.0% pypots/nn/modules/film/layers.py
1
95.45
 0.0% pypots/nn/modules/timesnet/layers.py
1
76.53
 0.0% pypots/imputation/csdi/data.py
1
82.11
 0.0% pypots/nn/modules/transformer/embedding.py
1
76.19
 0.0% pypots/data/saving/pickle.py
1
87.84
 0.0% pypots/imputation/usgan/model.py
2
85.61
 0.76% pypots/imputation/csdi/model.py
2
0.0
 0.0% pypots/cli/tuning.py
2
77.48
 0.0% pypots/imputation/base.py
2
78.08
 0.0% pypots/nn/modules/koopa/layers.py
2
74.77
 0.0% pypots/classification/base.py
2
86.03
 0.0% pypots/forecasting/csdi/model.py
2
85.43
 0.0% pypots/clustering/vader/model.py
2
38.83
 0.0% pypots/clustering/base.py
2
53.98
 0.0% pypots/nn/modules/patchtst/layers.py
2
77.59
 0.0% pypots/nn/modules/gpvae/layers.py
2
83.54
 1.27% pypots/cli/doc.py
2
36.94
 0.0% pypots/forecasting/base.py
2
86.21
 0.0% pypots/imputation/gpvae/model.py
2
69.05
 0.0% pypots/nn/modules/informer/layers.py
2
71.74
 0.0% pypots/classification/raindrop/core.py
2
37.02
 0.0% pypots/nn/modules/timemixer/backbone.py
2
74.38
 0.0% pypots/nn/modules/autoformer/layers.py
2
71.57
 0.0% pypots/data/generating.py
3
51.52
 0.0% pypots/forecasting/bttf/core.py
3
85.06
 0.0% pypots/nn/modules/csdi/backbone.py
3
79.0
 0.0% pypots/nn/modules/crossformer/layers.py
3
0.0
 0.0% pypots/utils/visual/clustering.py
7
64.49
 0.0% pypots/nn/modules/reformer/lsh_attention.py
15
45.99
 -0.18% pypots/nn/modules/fedformer/layers.py
Jobs
ID Job ID Ran Files Coverage
1 10822158814.1 341
83.24
 GitHub Action Run
2 10822158814.2 341
83.23
 GitHub Action Run
3 10822158814.3 341
83.25
 GitHub Action Run
4 10822158814.4 341
83.26
 GitHub Action Run
5 10822158814.5 341
83.22
 GitHub Action Run
6 10822158814.6 341
83.23
 GitHub Action Run
Source Files on build 10822158814