Netflix/matchcut
File Size
The distribution of size of files (measured in lines of code).
File Size Overall
  • There are 10 files with 983 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 2 medium size files (660 lines of code)
    • 1 small files (182 lines of code)
    • 7 very small files (141 lines of code)
0% | 0% | 67% | 18% | 14%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 0% | 68% | 18% | 12%
yaml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
matchcut0% | 0% | 69% | 19% | 11%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 10)
File# lines# units
experiments.py
in matchcut
 435 31
data.py
in matchcut
 225 29
models.py
in matchcut
 182 17
experiment2.py
in matchcut/config
 50 -
experiment1.py
in matchcut/config
 31 -
common.py
in matchcut/config
 24 -
18 -
16 -
__init__.py
in matchcut/config
 1 -
__init__.py
in matchcut
 1 -
Files With Most Units (Top 3)
File# lines# units
experiments.py
in matchcut
 435 31
data.py
in matchcut
 225 29
models.py
in matchcut
 182 17
Files With Long Lines (Top 1)

There is only one file with lines longer than 120 characters. In total, there is only one long line.

File# lines# units# long lines
experiments.py
in matchcut
 435 31 1
Correlations

File Size vs. Commits (all time): 10 points

conda_env.yml x: 1 commits (all time) y: 18 lines of code experiment.py x: 1 commits (all time) y: 16 lines of code matchcut/__init__.py x: 1 commits (all time) y: 1 lines of code matchcut/config/common.py x: 1 commits (all time) y: 24 lines of code matchcut/config/experiment1.py x: 1 commits (all time) y: 31 lines of code matchcut/config/experiment2.py x: 1 commits (all time) y: 50 lines of code matchcut/data.py x: 1 commits (all time) y: 225 lines of code matchcut/experiments.py x: 1 commits (all time) y: 435 lines of code matchcut/models.py x: 1 commits (all time) y: 182 lines of code
435.0
lines of code
  min: 1.0
  average: 98.3
  25th percentile: 12.25
  median: 27.5
  75th percentile: 192.75
  max: 435.0
0 1.0
commits (all time)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Contributors (all time): 10 points

conda_env.yml x: 1 contributors (all time) y: 18 lines of code experiment.py x: 1 contributors (all time) y: 16 lines of code matchcut/__init__.py x: 1 contributors (all time) y: 1 lines of code matchcut/config/common.py x: 1 contributors (all time) y: 24 lines of code matchcut/config/experiment1.py x: 1 contributors (all time) y: 31 lines of code matchcut/config/experiment2.py x: 1 contributors (all time) y: 50 lines of code matchcut/data.py x: 1 contributors (all time) y: 225 lines of code matchcut/experiments.py x: 1 contributors (all time) y: 435 lines of code matchcut/models.py x: 1 contributors (all time) y: 182 lines of code
435.0
lines of code
  min: 1.0
  average: 98.3
  25th percentile: 12.25
  median: 27.5
  75th percentile: 192.75
  max: 435.0
0 1.0
contributors (all time)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Commits (30 days): 0 points

No data for "commits (30d)" vs. "lines of code".

File Size vs. Contributors (30 days): 0 points

No data for "contributors (30d)" vs. "lines of code".

File Size vs. Commits (90 days): 0 points

No data for "commits (90d)" vs. "lines of code".

File Size vs. Contributors (90 days): 0 points

No data for "contributors (90d)" vs. "lines of code".

About This Analysis
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...