openai / guided-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 6 files with 1,847 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)
    • 6 files changed 1-5 times (1,847 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 6 files with 1,847 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)
    • 0 files changed by 2-5 contributors (0 lines of code)
    • 6 files changed by 1 contributor (1,847 lines of code)
0% | 0% | 0% | 0% | 100%
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, md, txt, 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
guided_diffusion0% | 0% | 0% | 0% | 100%
evaluations0% | 0% | 0% | 0% | 100%
scripts0% | 0% | 0% | 0% | 100%
datasets0% | 0% | 0% | 0% | 0%
Most Frequently Changed Files (Top 22)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
dist_util.py
in guided_diffusion
 58 5 2021-05-26 2021-07-16 2 1 +14 / -3 unixpickle@gmail.com unixpickle@gmail.com
fp16_util.py
in guided_diffusion
 171 22 2021-05-26 2022-07-15 2 1 +4 / -2 unixpickle@gmail.com unixpickle@gmail.com
script_util.py
in guided_diffusion
 401 15 2021-05-26 2021-07-16 2 1 +19 / -3 unixpickle@gmail.com unixpickle@gmail.com
97 3 2021-07-16 2021-07-16 1 1 +2 / -0 unixpickle@gmail.com unixpickle@gmail.com
evaluator.py
in evaluations
 464 41 2021-10-14 2021-10-14 1 1 +653 / -0 unixpickle@gmail.com unixpickle@gmail.com
unet.py
in guided_diffusion
 656 31 2021-07-16 2021-07-16 1 1 +15 / -23 unixpickle@gmail.com unixpickle@gmail.com
__init__.py
in guided_diffusion
 1 -
losses.py
in guided_diffusion
 40 3
lsun_bedroom.py
in datasets
 40 3
image_train.py
in scripts
 68 2
image_nll.py
in scripts
 73 3
resample.py
in guided_diffusion
 78 11
80 3
respace.py
in guided_diffusion
 83 10
nn.py
in guided_diffusion
 83 14
image_sample.py
in scripts
 89 2
109 2
image_datasets.py
in guided_diffusion
 119 7
189 6
train_util.py
in guided_diffusion
 244 16
logger.py
in guided_diffusion
 327 49
gaussian_diffusion.py
in guided_diffusion
 580 27
Files With Most Churn (Top 22)
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
evaluator.py
in evaluations
 464 41 2021-10-14 2021-10-14 1 1 +653 / -0 unixpickle@gmail.com unixpickle@gmail.com
unet.py
in guided_diffusion
 656 31 2021-07-16 2021-07-16 1 1 +15 / -23 unixpickle@gmail.com unixpickle@gmail.com
script_util.py
in guided_diffusion
 401 15 2021-05-26 2021-07-16 2 1 +19 / -3 unixpickle@gmail.com unixpickle@gmail.com
dist_util.py
in guided_diffusion
 58 5 2021-05-26 2021-07-16 2 1 +14 / -3 unixpickle@gmail.com unixpickle@gmail.com
fp16_util.py
in guided_diffusion
 171 22 2021-05-26 2022-07-15 2 1 +4 / -2 unixpickle@gmail.com unixpickle@gmail.com
97 3 2021-07-16 2021-07-16 1 1 +2 / -0 unixpickle@gmail.com unixpickle@gmail.com
__init__.py
in guided_diffusion
 1 -
losses.py
in guided_diffusion
 40 3
lsun_bedroom.py
in datasets
 40 3
image_train.py
in scripts
 68 2
image_nll.py
in scripts
 73 3
resample.py
in guided_diffusion
 78 11
80 3
respace.py
in guided_diffusion
 83 10
nn.py
in guided_diffusion
 83 14
image_sample.py
in scripts
 89 2
109 2
image_datasets.py
in guided_diffusion
 119 7
189 6
train_util.py
in guided_diffusion
 244 16
logger.py
in guided_diffusion
 327 49
gaussian_diffusion.py
in guided_diffusion
 580 27
Files With Most Contributors (Top 22)
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 guided_diffusion
 171 22 2021-05-26 2022-07-15 2 1 +4 / -2 unixpickle@gmail.com unixpickle@gmail.com
dist_util.py
in guided_diffusion
 58 5 2021-05-26 2021-07-16 2 1 +14 / -3 unixpickle@gmail.com unixpickle@gmail.com
script_util.py
in guided_diffusion
 401 15 2021-05-26 2021-07-16 2 1 +19 / -3 unixpickle@gmail.com unixpickle@gmail.com
evaluator.py
in evaluations
 464 41 2021-10-14 2021-10-14 1 1 +653 / -0 unixpickle@gmail.com unixpickle@gmail.com
unet.py
in guided_diffusion
 656 31 2021-07-16 2021-07-16 1 1 +15 / -23 unixpickle@gmail.com unixpickle@gmail.com
97 3 2021-07-16 2021-07-16 1 1 +2 / -0 unixpickle@gmail.com unixpickle@gmail.com
lsun_bedroom.py
in datasets
 40 3
losses.py
in guided_diffusion
 40 3
resample.py
in guided_diffusion
 78 11
__init__.py
in guided_diffusion
 1 -
image_datasets.py
in guided_diffusion
 119 7
gaussian_diffusion.py
in guided_diffusion
 580 27
logger.py
in guided_diffusion
 327 49
nn.py
in guided_diffusion
 83 14
respace.py
in guided_diffusion
 83 10
train_util.py
in guided_diffusion
 244 16
80 3
image_sample.py
in scripts
 89 2
189 6
image_nll.py
in scripts
 73 3
109 2
image_train.py
in scripts
 68 2
Files With Least Contributors (Top 22)
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 guided_diffusion
 580 27
logger.py
in guided_diffusion
 327 49
train_util.py
in guided_diffusion
 244 16
189 6
image_datasets.py
in guided_diffusion
 119 7
109 2
image_sample.py
in scripts
 89 2
nn.py
in guided_diffusion
 83 14
respace.py
in guided_diffusion
 83 10
80 3
resample.py
in guided_diffusion
 78 11
image_nll.py
in scripts
 73 3
image_train.py
in scripts
 68 2
lsun_bedroom.py
in datasets
 40 3
losses.py
in guided_diffusion
 40 3
__init__.py
in guided_diffusion
 1 -
unet.py
in guided_diffusion
 656 31 2021-07-16 2021-07-16 1 1 +15 / -23 unixpickle@gmail.com unixpickle@gmail.com
evaluator.py
in evaluations
 464 41 2021-10-14 2021-10-14 1 1 +653 / -0 unixpickle@gmail.com unixpickle@gmail.com
script_util.py
in guided_diffusion
 401 15 2021-05-26 2021-07-16 2 1 +19 / -3 unixpickle@gmail.com unixpickle@gmail.com
fp16_util.py
in guided_diffusion
 171 22 2021-05-26 2022-07-15 2 1 +4 / -2 unixpickle@gmail.com unixpickle@gmail.com
97 3 2021-07-16 2021-07-16 1 1 +2 / -0 unixpickle@gmail.com unixpickle@gmail.com
dist_util.py
in guided_diffusion
 58 5 2021-05-26 2021-07-16 2 1 +14 / -3 unixpickle@gmail.com unixpickle@gmail.com
Correlations

File Size vs. Number of Changes: 6 points

guided_diffusion/fp16_util.py x: 171 lines of code y: 2 # changes evaluations/evaluator.py x: 464 lines of code y: 1 # changes guided_diffusion/script_util.py x: 401 lines of code y: 2 # changes guided_diffusion/unet.py x: 656 lines of code y: 1 # changes scripts/super_res_sample.py x: 97 lines of code y: 1 # changes guided_diffusion/dist_util.py x: 58 lines of code y: 2 # changes
2.0
# changes
  min: 1.0
  average: 1.5
  25th percentile: 1.0
  median: 1.5
  75th percentile: 2.0
  max: 2.0
0 656.0
lines of code
min: 58.0 | average: 307.83 | 25th percentile: 87.25 | median: 286.0 | 75th percentile: 512.0 | max: 656.0

Number of Contributors vs. Number of Changes: 6 points

guided_diffusion/fp16_util.py x: 1 # contributors y: 2 # changes evaluations/evaluator.py x: 1 # contributors y: 1 # changes
2.0
# changes
  min: 1.0
  average: 1.5
  25th percentile: 1.0
  median: 1.5
  75th percentile: 2.0
  max: 2.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Contributors vs. File Size: 6 points

guided_diffusion/fp16_util.py x: 1 # contributors y: 171 lines of code evaluations/evaluator.py x: 1 # contributors y: 464 lines of code guided_diffusion/script_util.py x: 1 # contributors y: 401 lines of code guided_diffusion/unet.py x: 1 # contributors y: 656 lines of code scripts/super_res_sample.py x: 1 # contributors y: 97 lines of code guided_diffusion/dist_util.py x: 1 # contributors y: 58 lines of code
656.0
lines of code
  min: 58.0
  average: 307.83
  25th percentile: 87.25
  median: 286.0
  75th percentile: 512.0
  max: 656.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Changes vs. Line Churn: 11 points

guided_diffusion/fp16_util.py x: 2 # changes y: 6 line churn README.md x: 5 # changes y: 150 line churn evaluations/README.md x: 2 # changes y: 72 line churn .gitignore x: 1 # changes y: 2 line churn evaluations/evaluator.py x: 1 # changes y: 653 line churn evaluations/requirements.txt x: 1 # changes y: 4 line churn model-card.md x: 1 # changes y: 59 line churn guided_diffusion/script_util.py x: 2 # changes y: 22 line churn guided_diffusion/unet.py x: 1 # changes y: 38 line churn guided_diffusion/dist_util.py x: 2 # changes y: 17 line churn
653.0
line churn
  min: 2.0
  average: 93.18
  25th percentile: 4.0
  median: 22.0
  75th percentile: 72.0
  max: 653.0
0 5.0
# changes
min: 1.0 | average: 1.73 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 5.0

Number of Contributors vs. Line Churn: 6 points

guided_diffusion/fp16_util.py x: 1 # contributors y: 6 line churn evaluations/evaluator.py x: 1 # contributors y: 653 line churn guided_diffusion/script_util.py x: 1 # contributors y: 22 line churn guided_diffusion/unet.py x: 1 # contributors y: 38 line churn scripts/super_res_sample.py x: 1 # contributors y: 2 line churn guided_diffusion/dist_util.py x: 1 # contributors y: 17 line churn
653.0
line churn
  min: 2.0
  average: 123.0
  25th percentile: 5.0
  median: 19.5
  75th percentile: 191.75
  max: 653.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Line Churn: 6 points

guided_diffusion/fp16_util.py x: 171 lines of code y: 6 line churn evaluations/evaluator.py x: 464 lines of code y: 653 line churn guided_diffusion/script_util.py x: 401 lines of code y: 22 line churn guided_diffusion/unet.py x: 656 lines of code y: 38 line churn scripts/super_res_sample.py x: 97 lines of code y: 2 line churn guided_diffusion/dist_util.py x: 58 lines of code y: 17 line churn
653.0
line churn
  min: 2.0
  average: 123.0
  25th percentile: 5.0
  median: 19.5
  75th percentile: 191.75
  max: 653.0
0 656.0
lines of code
min: 58.0 | average: 307.83 | 25th percentile: 87.25 | median: 286.0 | 75th percentile: 512.0 | max: 656.0