• 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 115 files with 15,753 lines of code.
• 2 very long files (2,714 lines of code)
• 4 long files (2,680 lines of code)
• 16 medium size files (5,538 lines of codeclsfd_ftr_w_mp_ins)
• 18 small files (2,767 lines of code)
• 75 very small files (2,054 lines of code)

There are 35 files with lines longer than 120 characters. In total, there are 193 long lines.

File	# lines	# units	# long lines
parameter_sync.py in chatlearn/synchronizer	1612	84	66
megatron_vllm.py in chatlearn/synchronizer	356	18	12
vllm_module.py in chatlearn/models	798	35	11
executor.py in chatlearn/runtime	366	23	11
vllm_utils.py in chatlearn/utils	1102	37	10
fsdp_module.py in chatlearn/models	339	26	9
arguments.py in chatlearn/utils	449	24	8
engine.py in chatlearn/runtime	542	40	8
base_module.py in chatlearn/models	754	120	7
sampler.py in chatlearn/data	284	16	6
megatron_module.py in chatlearn/models	193	31	5
torch_module.py in chatlearn/models	139	13	4
environment.py in chatlearn/runtime	247	17	4
vllm_model.py in chatlearn/models/vllm	63	4	3
deepspeed_module.py in chatlearn/models	149	13	3
decorator.py in chatlearn/runtime	187	6	3
utils.py in chatlearn/utils	296	29	2
vllm_module_v2.py in chatlearn/models	422	39	2
trainer.py in chatlearn/runtime	65	7	2
model_manager.py in chatlearn/schedule	355	20	2
data.py in chatlearn/data	290	33	1
megatron_utils.py in chatlearn/utils	123	5	1
dist_utils.py in chatlearn/utils	124	6	1
loader.py in chatlearn/models/vllm/hooks/vllm_0_6_3	75	4	1
loader.py in chatlearn/models/vllm/hooks/vllm_0_6_6	71	4	1
layers.py in chatlearn/models/megatron/lora	586	42	1
base_trainer.py in chatlearn/models/megatron/memory_manager	117	12	1
trainer_v4.py in chatlearn/models/megatron/memory_manager	192	7	1
policy_gradient.py in chatlearn/models/megatron/ops	127	3	1
model_flow.py in chatlearn/runtime	171	19	1
megatron_to_hf.py in chatlearn/tools	270	7	1
scheduler.py in chatlearn/synchronizer	45	3	1
__init__.py in chatlearn/synchronizer	30	1	1
dlc_utils.py in chatlearn/launcher	195	19	1
checkpoint_manager.py in chatlearn/checkpoint	110	12	1