openai / train-procgen
File Change Frequency

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 336 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 (336 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 336 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)
    • 2 files changed by 2-5 contributors (94 lines of code)
    • 4 files changed by 1 contributor (242 lines of code)
0% | 0% | 0% | 27% | 72%
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, gitignore, md, json, yaml
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
train_procgen0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 6)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
__init__.py
in train_procgen
 1 - 2019-12-03 2020-05-20 3 2 christopherhesse@users.nore... karl@openai.com
train.py
in train_procgen
 93 2 2019-12-03 2020-05-20 3 2 christopherhesse@users.nore... karl@openai.com
graph.py
in train_procgen
 61 2 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
constants.py
in train_procgen
 72 - 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
graph_util.py
in train_procgen
 103 6 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
setup.py
in root
 6 - 2019-12-03 2019-12-03 1 1 christopherhesse@users.nore... christopherhesse@users.nore...
Files With Most Contributors (Top 6)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
__init__.py
in train_procgen
 1 - 2019-12-03 2020-05-20 3 2 christopherhesse@users.nore... karl@openai.com
train.py
in train_procgen
 93 2 2019-12-03 2020-05-20 3 2 christopherhesse@users.nore... karl@openai.com
graph.py
in train_procgen
 61 2 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
constants.py
in train_procgen
 72 - 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
graph_util.py
in train_procgen
 103 6 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
setup.py
in root
 6 - 2019-12-03 2019-12-03 1 1 christopherhesse@users.nore... christopherhesse@users.nore...
Files With Least Contributors (Top 6)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
graph_util.py
in train_procgen
 103 6 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
constants.py
in train_procgen
 72 - 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
graph.py
in train_procgen
 61 2 2020-05-19 2020-05-20 2 1 karl@openai.com karl@openai.com
setup.py
in root
 6 - 2019-12-03 2019-12-03 1 1 christopherhesse@users.nore... christopherhesse@users.nore...
train.py
in train_procgen
 93 2 2019-12-03 2020-05-20 3 2 christopherhesse@users.nore... karl@openai.com
__init__.py
in train_procgen
 1 - 2019-12-03 2020-05-20 3 2 christopherhesse@users.nore... karl@openai.com
Correlations

File Size vs. Number of Changes: 6 points

train_procgen/__init__.py x: 1 lines of code y: 3 # changes train_procgen/constants.py x: 72 lines of code y: 2 # changes train_procgen/graph.py x: 61 lines of code y: 2 # changes train_procgen/graph_util.py x: 103 lines of code y: 2 # changes train_procgen/train.py x: 93 lines of code y: 3 # changes setup.py x: 6 lines of code y: 1 # changes
3.0
# changes
  min: 1.0
  average: 2.17
  25th percentile: 1.75
  median: 2.0
  75th percentile: 3.0
  max: 3.0
0 103.0
lines of code
min: 1.0 | average: 56.0 | 25th percentile: 4.75 | median: 66.5 | 75th percentile: 95.5 | max: 103.0

Number of Contributors vs. Number of Changes: 6 points

train_procgen/__init__.py x: 2 # contributors y: 3 # changes train_procgen/constants.py x: 1 # contributors y: 2 # changes setup.py x: 1 # contributors y: 1 # changes
3.0
# changes
  min: 1.0
  average: 2.17
  25th percentile: 1.75
  median: 2.0
  75th percentile: 3.0
  max: 3.0
0 2.0
# contributors
min: 1.0 | average: 1.33 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0

Number of Contributors vs. File Size: 6 points

train_procgen/__init__.py x: 2 # contributors y: 1 lines of code train_procgen/constants.py x: 1 # contributors y: 72 lines of code train_procgen/graph.py x: 1 # contributors y: 61 lines of code train_procgen/graph_util.py x: 1 # contributors y: 103 lines of code train_procgen/train.py x: 2 # contributors y: 93 lines of code setup.py x: 1 # contributors y: 6 lines of code
103.0
lines of code
  min: 1.0
  average: 56.0
  25th percentile: 4.75
  median: 66.5
  75th percentile: 95.5
  max: 103.0
0 2.0
# contributors
min: 1.0 | average: 1.33 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0