amazon-research / crossnorm-selfnorm
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

File Change Frequency Overall
File Change Frequency Overall
The number of recorded file updates
  • There are 16 files with 2,729 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 0 files changed 6-20 times (0 lines of code)
    • 16 files changed 1-5 times (2,729 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
101+
51-100
21-50
6-20
1-5

Detailed data...

File Change Frequency per File Extension
sh, py, txt, md, yaml, gitignore, json
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 0% | 100%
yaml0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
segmentation/model0% | 0% | 0% | 0% | 100%
segmentation/tool0% | 0% | 0% | 0% | 100%
segmentation/util0% | 0% | 0% | 0% | 100%
segmentation/config/gtav0% | 0% | 0% | 0% | 100%
models0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 0%
models/imagenet0% | 0% | 0% | 0% | 0%
models/cifar0% | 0% | 0% | 0% | 0%
Most Frequently Changed Files (Top 20)

See data for all files...

File# lines# unitslast modified
(days ago)
created
(days ago)
# changes
utils.py
in segmentation/model
47 4 144 144 1
gtav_fcn50.yaml
in segmentation/config/gtav
59 - 144 144 1
gtav_fcn50_cnsn.yaml
in segmentation/config/gtav
68 - 144 144 1
dataset.py
in segmentation/util
81 5 144 144 1
fcn.py
in segmentation/model
83 5 144 144 1
config.py
in segmentation/util
102 10 144 144 1
pspnet.py
in segmentation/model
102 4 144 144 1
cnsn.py
in models
115 10 144 144 1
cnsn.py
in segmentation/model
115 10 144 144 1
util.py
in segmentation/util
176 16 144 144 1
transform.py
in segmentation/util
191 21 144 144 1
psanet.py
in segmentation/model
191 4 144 144 1
resnet.py
in segmentation/model
215 20 144 144 1
train.py
in segmentation/tool
388 9 144 144 1
cnsn_resnet.py
in segmentation/model
394 26 144 144 1
train_cnsn.py
in segmentation/tool
402 9 144 144 1
augmentations.py
in root
72 16
utils.py
in root
76 10
allconv_cnsn.py
in models/cifar
118 5
wideresnet_cnsn.py
in models/cifar
166 8