• 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 98 files with 21,057 lines of code.
• 5 very long files (7,397 lines of code)
• 5 long files (3,621 lines of code)
• 12 medium size files (3,784 lines of codeclsfd_ftr_w_mp_ins)
• 28 small files (3,802 lines of code)
• 48 very small files (2,453 lines of code)

There are 51 files with lines longer than 120 characters. In total, there are 305 long lines.

File	# lines	# units	# long lines
dataclasses.py in src/accelerate/utils	1815	56	49
accelerator.py in src/accelerate	2103	91	48
launch.py in src/accelerate/commands	1076	14	29
launch.py in src/accelerate/utils	593	12	16
cluster.py in src/accelerate/commands/config	809	1	14
state.py in src/accelerate	771	69	10
non_distributed.py in benchmarks/fp8/torchao	100	4	6
fsdp.py in benchmarks/fp8/torchao	121	4	6
distrib_deepspeed.py in benchmarks/fp8/torchao	163	3	6
ddp.py in benchmarks/fp8/torchao	107	4	6
non_distributed.py in benchmarks/fp8/transformer_engine	87	2	6
fsdp.py in benchmarks/fp8/transformer_engine	110	2	6
distrib_deepspeed.py in benchmarks/fp8/transformer_engine	141	2	6
ddp.py in benchmarks/fp8/transformer_engine	95	2	6
non_distributed.py in benchmarks/fp8/ms_amp	77	2	6
distrib_deepspeed.py in benchmarks/fp8/ms_amp	118	2	6
ddp.py in benchmarks/fp8/ms_amp	81	2	6
modeling.py in src/accelerate/utils	1371	38	6
launchers.py in src/accelerate	176	3	6
estimate.py in src/accelerate/commands	212	9	5
stage_4.py in manim_animations/dataloaders	33	1	4
fsdp_utils.py in src/accelerate/utils	489	19	3
sagemaker.py in src/accelerate/commands/config	233	3	3
default.py in src/accelerate/commands/config	124	3	3
config.py in src/accelerate/commands/config	56	4	3
stage_5.py in manim_animations/dataloaders	173	1	3
stage_7.py in manim_animations/dataloaders	154	1	3
log_reports.py in utils	147	-	2
deepspeed.py in src/accelerate/utils	178	23	2
bnb.py in src/accelerate/utils	309	8	2
operations.py in src/accelerate/utils	434	38	2
update.py in src/accelerate/commands/config	33	3	2
config_args.py in src/accelerate/commands/config	195	9	2
data_loader.py in src/accelerate	876	61	2
stage_6.py in manim_animations/dataloaders	164	1	2
stage_3.py in manim_animations/dataloaders	19	1	2
stage_2.py in manim_animations/dataloaders	141	1	2
visualize.py in benchmarks/fsdp2	80	3	1
other.py in src/accelerate/utils	260	21	1
torch_xla.py in src/accelerate/utils	18	1	1
memory.py in src/accelerate/utils	103	7	1
big_modeling.py in src/accelerate	384	10	1
to_fsdp2.py in src/accelerate/commands	118	5	1
tpu.py in src/accelerate/commands	118	3	1
tracking.py in src/accelerate	572	67	1
logging.py in src/accelerate	40	4	1
stage_5.py in manim_animations/big_model_inference	161	1	1
stage_3.py in manim_animations/big_model_inference	114	1	1
stage_2.py in manim_animations/big_model_inference	86	1	1
stage_4.py in manim_animations/big_model_inference	113	1	1