• 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 42 files with 11,016 lines of code.
• 4 very long files (7,057 lines of code)
• 3 long files (1,987 lines of code)
• 2 medium size files (807 lines of codeclsfd_ftr_w_mp_ins)
• 2 small files (223 lines of code)
• 31 very small files (942 lines of code)

There are 12 files with lines longer than 120 characters. In total, there are 261 long lines.

File	# lines	# units	# long lines
data_prep_with_restricts.ipynb in experiments/legacy/notebooks/vectorSearchIndexUpdate	2153	-	49
NB3_create_streaming_index.ipynb in experiments/legacy/notebooks/vectorSearchIndexUpdate	1264	-	48
NB4_create_streaming_index_with_filters.ipynb in experiments/legacy/notebooks/vectorSearchIndexUpdate	1451	-	48
NB1_create_batch_index.ipynb in experiments/legacy/notebooks/vectorSearchIndexUpdate	547	-	45
NB2_create_batch_index_with_filters.ipynb in experiments/legacy/notebooks/vectorSearchIndexUpdate	860	-	33
0_EDA_flipkart_dataset.ipynb in experiments/legacy/notebooks	2189	-	13
1_generate_embeddings.ipynb in experiments/legacy/notebooks	420	-	12
2_create_vector_db.ipynb in experiments/legacy/notebooks	387	-	7
VectoreSearch_Cleanup.ipynb in experiments/legacy/notebooks/vectorSearchIndexUpdate	580	-	3
category.py in experiments/legacy/backend	88	5	1
app.toml in experiments/conf	35	-	1
setup.py in experiments	70	-	1