• 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 58 files with 14,562 lines of code.
• 0 very long files (0 lines of code)
• 14 long files (10,490 lines of code)
• 5 medium size files (1,841 lines of codeclsfd_ftr_w_mp_ins)
• 9 small files (1,257 lines of code)
• 30 very small files (974 lines of code)

There are 30 files with lines longer than 120 characters. In total, there are 1254 long lines.

File	# lines	# units	# long lines
jsonl store_transactions.jsonl in courses/DSL/transactions-mock-data	1000	-	1000
grocerybot_assistant.ipynb in courses/generative_ai/app_dev_llm	999	-	57
store-transactions-generator.ipynb in courses/DSL/transactions-mock-data	233	-	30
intro_prompt_design.ipynb in courses/generative_ai/gen_ai_explorer	890	-	29
jsonl stores.jsonl in courses/DSL/transactions-mock-data	26	-	26
click-stream-generator.ipynb in courses/DSL/challenge-clickstream	463	-	23
baseline_summarization_audio.ipynb in courses/agent_assist	965	-	19
baseline_summarization_chat.ipynb in courses/agent_assist	523	-	12
Spanner_Generating_PK_Values.ipynb in courses/understanding_spanner/colab-notebooks	189	-	8
apache-beam-schemas.ipynb in courses/DSL/dataflow-examples	480	-	6
apache-beam-basics.ipynb in courses/DSL/dataflow-examples	632	-	5
Spanner_Samples_Python.ipynb in courses/understanding_spanner/colab-notebooks	510	-	5
apache-beam-sql.ipynb in courses/DSL/dataflow-examples	623	-	4
Spanner_Queries_Transactions.ipynb in courses/understanding_spanner/colab-notebooks	813	-	4
apache-beam-io.ipynb in courses/DSL/dataflow-examples	620	-	3
Spanner_PostgeSQL.ipynb in courses/understanding_spanner/colab-notebooks	543	-	3
Spanner_Samples-demo-with-colab.ipynb in courses/understanding_spanner/colab-notebooks	928	-	3
Spanner_Interleaved.ipynb in courses/understanding_spanner/colab-notebooks	562	-	3
apache-beam-dataflow-runner.ipynb in courses/DSL/dataflow-examples	418	-	2
pub-sub-simulated-clicks-feed.ipynb in courses/DSL/pub-sub-examples	247	-	2
deploy_model.py in courses/DSL/challenge-mlprep	32	-	1
main.tf in courses/understanding_spanner/terraform-spanner	16	-	1
csv-to-spanner.py in courses/understanding_spanner/dataflow	63	2	1
spanner-to-bq1.py in courses/understanding_spanner/dataflow	39	1	1
spanner-to-bq.py in courses/understanding_spanner/dataflow	45	1	1
import-details-to-spanner.py in courses/understanding_spanner/spanner-challenge-lab	61	2	1
import-orders-to-spanner.py in courses/understanding_spanner/spanner-challenge-lab	60	2	1
import-customers-to-spanner.py in courses/understanding_spanner/spanner-challenge-lab	64	2	1
import-products-to-spanner.py in courses/understanding_spanner/spanner-challenge-lab	61	2	1
Spanner_Python.ipynb in courses/understanding_spanner/colab-notebooks	882	-	1