• 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.

• There are 146 files with 15,687 lines of code.
• 0 very long files (0 lines of code)
• 6 long files (3,580 lines of code)
• 17 medium size files (4,757 lines of codeclsfd_ftr_w_mp_ins)
• 26 small files (3,608 lines of code)
• 97 very small files (3,742 lines of code)

There are 17 files with lines longer than 120 characters. In total, there are 39 long lines.

File	# lines	# units	# long lines
listeners.js in src/autotrain/app/static/scripts	173	5	9
utils.py in src/autotrain/trainers/clm	558	19	5
AutoTrain_LLM.ipynb in colabs	157	-	5
utils.js in src/autotrain/app/static/scripts	151	9	2
utils.py in src/autotrain/cli	167	4	2
text_regression.ipynb in notebooks	118	-	2
llm_finetuning.ipynb in notebooks	120	-	2
text_classification.ipynb in notebooks	118	-	2
image_classification.ipynb in colabs	63	-	2
client.py in src/autotrain	230	6	1
nvcf.py in src/autotrain/backends	155	4	1
__main__.py in src/autotrain/trainers/sent_transformers	217	2	1
__main__.py in src/autotrain/trainers/text_classification	207	2	1
__main__.py in src/autotrain/trainers/image_classification	210	2	1
login.html in src/autotrain/app/templates	50	-	1
AutoTrain_ngrok.ipynb in colabs	52	-	1
AutoTrain.ipynb in colabs	50	-	1