• 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 221 files with 21,654 lines of code.
• 3 very long files (5,445 lines of code)
• 5 long files (3,211 lines of code)
• 20 medium size files (5,739 lines of codeclsfd_ftr_w_mp_ins)
• 27 small files (3,632 lines of code)
• 166 very small files (3,627 lines of code)

There are 17 files with lines longer than 120 characters. In total, there are 254 long lines.

File	# lines	# units	# long lines
ai-explanations-image.ipynb in tutorials/explanations	1627	-	48
JasperTRT.ipynb in tutorials/pytorch/jasper	432	-	46
ai-explanations-tabular.ipynb in tutorials/explanations	1452	-	36
03-Training-Serving-CARET-Models.ipynb in tutorials/R	2366	-	35
gke_randomized_search.ipynb in tutorials/sklearn/hpsearch	688	-	18
gke_bayes_search.ipynb in tutorials/sklearn/hpsearch	688	-	16
gke_grid_search.ipynb in tutorials/sklearn/hpsearch	686	-	16
bert_squad_tf_finetuning.ipynb in tutorials/tensorflow/bert_finetuning	624	-	15
gke_parallel.py in tutorials/sklearn/hpsearch	264	22	9
01_EDA-with-R-and-BigQuery.ipynb in tutorials/R	488	-	5
index.html in dlvm/nvidia/webapp/templates	62	-	4
latent_dirichlet_allocation_edward2.py in example_zoo/tensorflow/probability/latent_dirichlet_allocation_edward2/trainer	287	12	1
latent_dirichlet_allocation_distributions.py in example_zoo/tensorflow/probability/latent_dirichlet_allocation_distributions/trainer	288	11	1
process.py in example_zoo/tools	50	2	1
cmle_package.py in example_zoo/tools	222	23	1
gke_helper.py in tutorials/sklearn/hpsearch/helpers	40	3	1
worker.py in tutorials/sklearn/hpsearch/source	37	1	1