openai / generating-reviews-discovering-sentiment

Intro

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.

File Size Overall

Legend:

1001+

501-1000

201-500

101-200

1-100

File Size per Extension

1001+

501-1000

201-500

101-200

1-100

File Size per Logical Decomposition

primary

1001+

501-1000

201-500

101-200

1-100

Longest Files (Top 3)

Files With Most Units (Top 2)

File	# lines	# units
encoder.py in root	181	8
utils.py in root	64	7

Files With Long Lines (Top 0)

There are 0 files with lines longer than 120 characters. In total, there are 0 long lines.

File	# lines	# units	# long lines

Correlations

File Size vs. Commits (all time): 3 points

		181.0	lines of code min: 17.0 average: 87.33 25th percentile: 17.0 median: 64.0 75th percentile: 181.0 max: 181.0
0	5.0
commits (all time) min: 2.0 \| average: 3.67 \| 25th percentile: 2.0 \| median: 4.0 \| 75th percentile: 5.0 \| max: 5.0

		181.0	lines of code min: 17.0 average: 87.33 25th percentile: 17.0 median: 64.0 75th percentile: 181.0 max: 181.0
0	2.0
contributors (all time) min: 1.0 \| average: 1.67 \| 25th percentile: 1.0 \| median: 2.0 \| 75th percentile: 2.0 \| max: 2.0

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

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

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

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