amazon-research / crossnorm-selfnorm
File Age

File age measurements show the distribution of file ages (days since the first commit) and the recency of file updates (days since the latest commit).

Summary
  • Number of files: 26
  • Daily file updates (only one update per file and date counted): 31
  • First update: 2021-08-14
  • Latest update: 2021-09-10
  • Days between first and latest update: 28 (4 weeks, estimated 20 working days)
  • Active days (at least one file change): 2
  • Data:
File Change History Overall
File Age Distribution Overall
Days since first update
  • There are 16 files with 2,729 lines of code in files.
    • 0 files that are 366+ days old (0 lines of code)
    • 0 files that are 181-365 days old (0 lines of code)
    • 16 files that are 91-180 days old (2,729 lines of code)
    • 0 files that are 31-90 days old (0 lines of code)
    • 0 files that are 1-30 days old (0 lines of code)
0% | 0% | 100% | 0% | 0%
Legend:
366+
181-365
91-180
31-90
1-30
Latest Change Distribution Overall
Days since last update
  • There are 16 files with 2,729 lines of code in files.
    • 0 files have been last changed 366+ days ago (0 lines of code)
    • 0 files have been last changed 181-365 days ago (0 lines of code)
    • 16 files have been last changed 91-180 days ago (2,729 lines of code)
    • 0 files have been last changed 31-90 days ago (0 lines of code)
    • 0 files have been last changed 1-30 days ago (0 lines of code)
0% | 0% | 100% | 0% | 0%
Legend:
366+
181-365
91-180
31-90
1-30
File Change History per File Extension
sh, py, txt, md, yaml, gitignore, json
File Age Distribution per Extension
Days since first update
366+
181-365
91-180
31-90
1-30
py0% | 0% | 100% | 0% | 0%
yaml0% | 0% | 100% | 0% | 0%
Latest Change Distribution per Extension
Days since last update
366+
181-365
91-180
31-90
1-30
py0% | 0% | 100% | 0% | 0%
yaml0% | 0% | 100% | 0% | 0%
File Change History per Logical Decomposition
primary
primary (file age distribution)
Days since first update
366+
181-365
91-180
31-90
1-30
segmentation/model0% | 0% | 100% | 0% | 0%
segmentation/tool0% | 0% | 100% | 0% | 0%
segmentation/util0% | 0% | 100% | 0% | 0%
segmentation/config/gtav0% | 0% | 100% | 0% | 0%
models0% | 0% | 100% | 0% | 0%
ROOT0% | 0% | 0% | 0% | 0%
models/imagenet0% | 0% | 0% | 0% | 0%
models/cifar0% | 0% | 0% | 0% | 0%
primary (latest change distribution)
Days since last update
366+
181-365
91-180
31-90
1-30
segmentation/model0% | 0% | 100% | 0% | 0%
segmentation/tool0% | 0% | 100% | 0% | 0%
segmentation/util0% | 0% | 100% | 0% | 0%
segmentation/config/gtav0% | 0% | 100% | 0% | 0%
models0% | 0% | 100% | 0% | 0%
ROOT0% | 0% | 0% | 0% | 0%
models/imagenet0% | 0% | 0% | 0% | 0%
models/cifar0% | 0% | 0% | 0% | 0%
Oldest Files (Top 20)
File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
train_cnsn.py
in segmentation/tool
 402 9 144 144 1
cnsn_resnet.py
in segmentation/model
 394 26 144 144 1
train.py
in segmentation/tool
 388 9 144 144 1
resnet.py
in segmentation/model
 215 20 144 144 1
psanet.py
in segmentation/model
 191 4 144 144 1
transform.py
in segmentation/util
 191 21 144 144 1
util.py
in segmentation/util
 176 16 144 144 1
cnsn.py
in segmentation/model
 115 10 144 144 1
cnsn.py
in models
 115 10 144 144 1
pspnet.py
in segmentation/model
 102 4 144 144 1
config.py
in segmentation/util
 102 10 144 144 1
fcn.py
in segmentation/model
 83 5 144 144 1
dataset.py
in segmentation/util
 81 5 144 144 1
gtav_fcn50_cnsn.yaml
in segmentation/config/gtav
 68 - 144 144 1
gtav_fcn50.yaml
in segmentation/config/gtav
 59 - 144 144 1
utils.py
in segmentation/model
 47 4 144 144 1
imagenet.py
in root
 482 11
cifar.py
in root
 402 8
resnet_cnsn.py
in models/imagenet
 240 17
resnet_ibn_cnsn.py
in models/imagenet
 237 14
Files Not Recently Changed (Top 20)
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
Most Recently Created Files (Top 20)
File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
imagenet.py
in root
 482 11
cifar.py
in root
 402 8
resnet_cnsn.py
in models/imagenet
 240 17
resnet_ibn_cnsn.py
in models/imagenet
 237 14
resnext_cnsn.py
in models/cifar
 177 7
densenet_cnsn.py
in models/cifar
 176 11
wideresnet_cnsn.py
in models/cifar
 166 8
allconv_cnsn.py
in models/cifar
 118 5
utils.py
in root
 76 10
augmentations.py
in root
 72 16
train_cnsn.py
in segmentation/tool
 402 9 144 144 1
cnsn_resnet.py
in segmentation/model
 394 26 144 144 1
train.py
in segmentation/tool
 388 9 144 144 1
resnet.py
in segmentation/model
 215 20 144 144 1
psanet.py
in segmentation/model
 191 4 144 144 1
transform.py
in segmentation/util
 191 21 144 144 1
util.py
in segmentation/util
 176 16 144 144 1
cnsn.py
in segmentation/model
 115 10 144 144 1
cnsn.py
in models
 115 10 144 144 1
pspnet.py
in segmentation/model
 102 4 144 144 1
Most Recently Changed Files (Top 20)
File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
imagenet.py
in root
 482 11
cifar.py
in root
 402 8
resnet_cnsn.py
in models/imagenet
 240 17
resnet_ibn_cnsn.py
in models/imagenet
 237 14
resnext_cnsn.py
in models/cifar
 177 7
densenet_cnsn.py
in models/cifar
 176 11
wideresnet_cnsn.py
in models/cifar
 166 8
allconv_cnsn.py
in models/cifar
 118 5
utils.py
in root
 76 10
augmentations.py
in root
 72 16
train_cnsn.py
in segmentation/tool
 402 9 144 144 1
cnsn_resnet.py
in segmentation/model
 394 26 144 144 1
train.py
in segmentation/tool
 388 9 144 144 1
resnet.py
in segmentation/model
 215 20 144 144 1
psanet.py
in segmentation/model
 191 4 144 144 1
transform.py
in segmentation/util
 191 21 144 144 1
util.py
in segmentation/util
 176 16 144 144 1
cnsn.py
in segmentation/model
 115 10 144 144 1
cnsn.py
in models
 115 10 144 144 1
pspnet.py
in segmentation/model
 102 4 144 144 1