openai / emoclassifiers

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 6)

File	# lines	# units
classification.py in emoclassifiers	137	8
chunking.py in emoclassifiers	85	7
aggregation.py in emoclassifiers	44	4
io_utils.py in emoclassifiers	18	5
jsonl example_conversations.jsonl in assets	3	-
prompt_templates.py in emoclassifiers	3	-

Files With Most Units (Top 4)

File	# lines	# units
classification.py in emoclassifiers	137	8
chunking.py in emoclassifiers	85	7
io_utils.py in emoclassifiers	18	5
aggregation.py in emoclassifiers	44	4

Files With Long Lines (Top 1)

There is only one file with lines longer than 120 characters. In total, there are 3 long lines.

File	# lines	# units	# long lines
jsonl example_conversations.jsonl in assets	3	-	3

Correlations

File Size vs. Commits (all time): 0 points

No data for "commits (all time)" vs. "lines of code".

No data for "contributors (all time)" vs. "lines of code".

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".