openai/improved-diffusion
File Churn
File change frequency (churn) shows the distribution of file updates (days with at least one commit).
Overview
File Change Frequency Overall
  • There are 1 files with 34 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)
    • 1 file changed 1-5 times (34 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 1 files with 34 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 0 files changed by 6-10 contributors (0 lines of code)
    • 1 file changed by 2-5 contributors (34 lines of code)
    • 0 files changed by 1 contributor (0 lines of code)
0% | 0% | 0% | 100% | 0%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
py, txt, md, gitignore
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%
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
improved_diffusion0% | 0% | 0% | 0% | 100%
datasets0% | 0% | 0% | 0% | 0%
scripts0% | 0% | 0% | 0% | 0%
Most Frequently Changed Files (Top 20)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
fp16_util.py
in improved_diffusion
 34 7 2024-03-11 2024-03-13 2 2 +2 / -2 noahschiro@rocketmail.com unixpickle@gmail.com
__init__.py
in improved_diffusion
 1 -
cifar10.py
in datasets
 35 1
lsun_bedroom.py
in datasets
 40 3
losses.py
in improved_diffusion
 40 3
dist_util.py
in improved_diffusion
 48 5
image_train.py
in scripts
 68 2
image_nll.py
in scripts
 73 3
image_datasets.py
in improved_diffusion
 73 5
resample.py
in improved_diffusion
 78 11
respace.py
in improved_diffusion
 79 8
80 3
nn.py
in improved_diffusion
 83 14
image_sample.py
in scripts
 87 2
95 3
script_util.py
in improved_diffusion
 263 10
train_util.py
in improved_diffusion
 295 21
logger.py
in improved_diffusion
 327 49
unet.py
in improved_diffusion
 356 23
gaussian_diffusion.py
in improved_diffusion
 540 25
Files With Most Churn (Top 20)
Based on the number of lines added and deleted across all commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
fp16_util.py
in improved_diffusion
 34 7 2024-03-11 2024-03-13 2 2 +2 / -2 noahschiro@rocketmail.com unixpickle@gmail.com
__init__.py
in improved_diffusion
 1 -
cifar10.py
in datasets
 35 1
lsun_bedroom.py
in datasets
 40 3
losses.py
in improved_diffusion
 40 3
dist_util.py
in improved_diffusion
 48 5
image_train.py
in scripts
 68 2
image_nll.py
in scripts
 73 3
image_datasets.py
in improved_diffusion
 73 5
resample.py
in improved_diffusion
 78 11
respace.py
in improved_diffusion
 79 8
80 3
nn.py
in improved_diffusion
 83 14
image_sample.py
in scripts
 87 2
95 3
script_util.py
in improved_diffusion
 263 10
train_util.py
in improved_diffusion
 295 21
logger.py
in improved_diffusion
 327 49
unet.py
in improved_diffusion
 356 23
gaussian_diffusion.py
in improved_diffusion
 540 25
Files With Most Contributors (Top 20)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
fp16_util.py
in improved_diffusion
 34 7 2024-03-11 2024-03-13 2 2 +2 / -2 noahschiro@rocketmail.com unixpickle@gmail.com
respace.py
in improved_diffusion
 79 8
resample.py
in improved_diffusion
 78 11
image_datasets.py
in improved_diffusion
 73 5
nn.py
in improved_diffusion
 83 14
unet.py
in improved_diffusion
 356 23
script_util.py
in improved_diffusion
 263 10
__init__.py
in improved_diffusion
 1 -
logger.py
in improved_diffusion
 327 49
train_util.py
in improved_diffusion
 295 21
losses.py
in improved_diffusion
 40 3
gaussian_diffusion.py
in improved_diffusion
 540 25
dist_util.py
in improved_diffusion
 48 5
cifar10.py
in datasets
 35 1
lsun_bedroom.py
in datasets
 40 3
80 3
image_train.py
in scripts
 68 2
image_sample.py
in scripts
 87 2
95 3
image_nll.py
in scripts
 73 3
Files With Least Contributors (Top 20)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
gaussian_diffusion.py
in improved_diffusion
 540 25
unet.py
in improved_diffusion
 356 23
logger.py
in improved_diffusion
 327 49
train_util.py
in improved_diffusion
 295 21
script_util.py
in improved_diffusion
 263 10
95 3
image_sample.py
in scripts
 87 2
nn.py
in improved_diffusion
 83 14
80 3
respace.py
in improved_diffusion
 79 8
resample.py
in improved_diffusion
 78 11
image_datasets.py
in improved_diffusion
 73 5
image_nll.py
in scripts
 73 3
image_train.py
in scripts
 68 2
dist_util.py
in improved_diffusion
 48 5
losses.py
in improved_diffusion
 40 3
lsun_bedroom.py
in datasets
 40 3
cifar10.py
in datasets
 35 1
__init__.py
in improved_diffusion
 1 -
fp16_util.py
in improved_diffusion
 34 7 2024-03-11 2024-03-13 2 2 +2 / -2 noahschiro@rocketmail.com unixpickle@gmail.com
Correlations

File Size vs. Number of Changes: 1 points

improved_diffusion/fp16_util.py x: 34 lines of code y: 2 # changes
2.0
# changes
  min: 2.0
  average: 2.0
  25th percentile: 2.0
  median: 2.0
  75th percentile: 2.0
  max: 2.0
0 34.0
lines of code
min: 34.0 | average: 34.0 | 25th percentile: 34.0 | median: 34.0 | 75th percentile: 34.0 | max: 34.0

Number of Contributors vs. Number of Changes: 1 points

improved_diffusion/fp16_util.py x: 2 # contributors y: 2 # changes
2.0
# changes
  min: 2.0
  average: 2.0
  25th percentile: 2.0
  median: 2.0
  75th percentile: 2.0
  max: 2.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

Number of Contributors vs. File Size: 1 points

improved_diffusion/fp16_util.py x: 2 # contributors y: 34 lines of code
34.0
lines of code
  min: 34.0
  average: 34.0
  25th percentile: 34.0
  median: 34.0
  75th percentile: 34.0
  max: 34.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

Number of Changes vs. Line Churn: 3 points

improved_diffusion/fp16_util.py x: 2 # changes y: 4 line churn README.md x: 4 # changes y: 106 line churn LICENSE x: 1 # changes y: 21 line churn
106.0
line churn
  min: 4.0
  average: 43.67
  25th percentile: 4.0
  median: 21.0
  75th percentile: 106.0
  max: 106.0
0 4.0
# changes
min: 1.0 | average: 2.33 | 25th percentile: 1.0 | median: 2.0 | 75th percentile: 4.0 | max: 4.0

Number of Contributors vs. Line Churn: 1 points

improved_diffusion/fp16_util.py x: 2 # contributors y: 4 line churn
4.0
line churn
  min: 4.0
  average: 4.0
  25th percentile: 4.0
  median: 4.0
  75th percentile: 4.0
  max: 4.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

File Size vs. Line Churn: 1 points

improved_diffusion/fp16_util.py x: 34 lines of code y: 4 line churn
4.0
line churn
  min: 4.0
  average: 4.0
  25th percentile: 4.0
  median: 4.0
  75th percentile: 4.0
  max: 4.0
0 34.0
lines of code
min: 34.0 | average: 34.0 | 25th percentile: 34.0 | median: 34.0 | 75th percentile: 34.0 | max: 34.0