• 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 277 files with 18,669 lines of code.
• 0 very long files (0 lines of code)
• 0 long files (0 lines of code)
• 26 medium size files (8,275 lines of codeclsfd_ftr_w_mp_ins)
• 37 small files (5,363 lines of code)
• 214 very small files (5,031 lines of code)

There are 81 files with lines longer than 120 characters. In total, there are 229 long lines.

File	# lines	# units	# long lines
deal_results.py in aiops/ContraLSP/mortalty	214	-	18
data_loader.py in aiops/ContraAD/data_factory	479	35	17
system_analyzer.py in aiops/MicroAgents/layers/system	182	6	12
pretrain.py in aiops/RCRank/pretrain/alignment_new	132	4	10
nezha.py in aiops/MicroAgents/loader	374	17	9
agentnn.py in aiops/MicroAgents/agentnn	124	2	9
datanalyzer.py in aiops/MicroAgents/layers/data_layer	50	2	8
public_english.py in aiops/MicroAgents/backbone/common/prompts	34	-	7
hub.py in runnable-hub/python/runnable_hub	133	5	6
load_data.py in aiops/RCRank/utils	36	2	6
main.py in aiops/RCRank	43	1	6
solver.py in aiops/ContraAD	327	11	5
Layer.py in aiops/Pathformer_ICLR2024/layers	233	15	4
datasets.py in aiops/ContrastiveLearningLogClustering/utils	491	17	4
train.py in aiops/ContrastiveLearningLogClustering	54	-	4
mask_group.py in aiops/ContraLSP/attribution	284	10	4
log.py in aiops/MicroAgents/layers/data_layer	165	10	4
worker.py in runnable-hub/python/runnable_workers/processWorker	156	7	3
utils.py in aiops/RCRank/model/modules/QueryFormer	313	27	3
single_model.py in aiops/RCRank/model/modules	146	15	3
data_tensor.py in aiops/RCRank/utils	59	3	3
task_analyzer.py in aiops/MicroAgents/layers/task	30	3	3
main.py in aiops/MicroAgents	92	-	3
cli-get-domain-redis.py in runnable-hub/python/example/api	22	-	2
cli-full-agent.py in runnable-hub/python/example/agent	54	-	2
run.py in tools/aiboost/cases/resource-correlation-analysis-in-kubernetes	27	4	2
values.yaml in applications/ilogtail/ilogtail-chart	58	-	2
fault_injector.py in aibond/cases/hdfs-analyse	81	11	2
run.py in aibond/cases/resource-correlation-analysis-in-kubernetes	27	4	2
core.py in aibond/aibond	121	12	2
run.py in aiops/Pathformer_ICLR2024	101	-	2
losses.py in aiops/ContrastiveLearningLogClustering/utils	54	4	2
attend.py in aiops/ContraAD/model	90	6	2
rare_feature_diffgroup.py in aiops/ContraLSP/rare	254	10	2
QueryFormer.py in aiops/RCRank/model/modules/QueryFormer	261	19	2
rcrank_model.py in aiops/RCRank/model/modules	106	5	2
loss.py in aiops/RCRank/model/loss	50	8	2
base.py in aiops/MicroAgents/loader	97	13	2
process.py in aiops/MicroAgents/utils	57	4	2
metric.py in aiops/MicroAgents/layers/data_layer	21	2	2
trace.py in aiops/MicroAgents/layers/data_layer	14	2	2
anomaly_detection.py in aiops/MicroAgents/layers/data_layer	79	3	2
Model.py in aiops/AnomalyDetection/model	493	37	2
cli-history.py in runnable-hub/python/example/llm	23	-	1
cli-single.py in runnable-hub/python/example/llm	22	-	1
cli-simple.py in runnable-hub/python/example/chain	39	-	1
cli-post-llm.py in runnable-hub/python/example/api	22	-	1
cli-get-domain.py in runnable-hub/python/example/api	21	-	1
cli-get.py in runnable-hub/python/example/api	21	-	1
cli-simple-text.py in runnable-hub/python/example/jinja	21	-	1