• 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 79 files with 5,595 lines of code.
• 0 very long files (0 lines of code)
• 1 long files (592 lines of code)
• 8 medium size files (2,138 lines of codeclsfd_ftr_w_mp_ins)
• 4 small files (732 lines of code)
• 66 very small files (2,133 lines of code)

There are 20 files with lines longer than 120 characters. In total, there are 194 long lines.

File	# lines	# units	# long lines
datamaps.tf in higgs/terraform/jobs	197	-	121
batch_hello_world.ipynb in notebooks	592	-	26
batch_create_a2_vm.ipynb in notebooks	473	-	17
variables.tf in fluxfw-gcp/tf/modules/compute	87	-	4
variables.tf in fluxfw-gcp/tf/modules/management	45	-	3
variables.tf in fluxfw-gcp/tf	90	-	3
hpc-slurm-llama2.yaml in llama2-finetuning-slurm	306	-	2
hpc-slurm-llama2.yaml in qwiklabs/llama2-finetuning-slurm	260	-	2
batch.py in python-batch/gke_batch	209	12	2
batch.py in python-batch	238	15	2
montecarlo_toolkit.yaml in fsi/MonteCarloMultiGPU	191	-	2
montecarlo_toolkit_dws.yaml in fsi/MonteCarloMultiGPU	214	-	2
fine-tune.py in llama2-finetuning-slurm/files	62	-	1
fine-tune.py in qwiklabs/llama2-finetuning-slurm/files	62	-	1
simple-container.yaml in python-batch	15	-	1
main.tf in python-batch/fsi_montecarlo/OLD	237	-	1
pubsub_bq.tpl.py in python-batch/fsi_montecarlo/OLD	99	10	1
variables.tf in fluxfw-gcp/tf/modules/login	55	-	1
main.tf in fluxfw-gcp/tf	67	-	1
io.tf in higgs/terraform/prep	21	-	1