• 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 458 files with 64,886 lines of code.
• 3 very long files (5,821 lines of code)
• 19 long files (12,240 lines of code)
• 63 medium size files (18,768 lines of codeclsfd_ftr_w_mp_ins)
• 107 small files (15,470 lines of code)
• 266 very small files (12,587 lines of code)

There are 189 files with lines longer than 120 characters. In total, there are 1062 long lines.

File	# lines	# units	# long lines
easyrec_request_builder.go in algorithm/eas/easyrec	512	11	88
client.go in datasource/ha3engine/ha3client	818	91	33
easyrec_predict.pb.go in algorithm/eas/easyrec	2947	297	31
feature_hologres_dao.go in module	623	6	30
step_stats.pb.go in pkg/tensorflow/core/framework	765	74	28
traffic_control_sort.go in sort	970	19	22
graph_transfer_info.pb.go in pkg/tensorflow/core/framework	793	80	20
feature_featurestore_dao.go in module	271	8	20
feature_be_dao.go in module	556	10	19
feature_consistency_job_service.go in service/rank	344	9	16
pid_controller.go in sort	627	27	15
example_parser_configuration.pb.go in pkg/tensorflow/core/example	423	37	15
cost_graph.pb.go in pkg/tensorflow/core/framework	488	46	14
user_collaborative_u2i2x2i_hologres_dao.go in module	361	6	14
queue_client.go in pkg/eas	574	34	13
remote_fused_graph_execute_info.pb.go in pkg/tensorflow/core/framework	287	22	13
feature_clickhouse_dao.go in module	279	5	13
feature_lindorm_dao.go in module	287	5	13
realtime_user2item_u2i2x2i_hologres_dao.go in module	347	6	13
feature_tablestore_dao.go in module	407	5	13
feature_redis_dao.go in module	343	8	12
tensor.pb.go in pkg/tensorflow/core/framework	372	33	11
attr_value.pb.go in pkg/tensorflow/core/framework	473	49	11
user_collaborative_hologres_dao.go in module	251	5	11
filter_op.go in module	1559	53	11
feature_mysql_dao.go in module	291	5	11
api_def.pb.go in pkg/tensorflow/core/framework	581	58	10
realtime_user2item_featurestore_dao.go in module	240	4	10
user_collaborative_tablestore_dao.go in module	219	4	10
realtime_user2item_hologres_dao.go in module	302	5	10
user_collaborative_featurestore_dao.go in module	166	4	10
be_multibiz_recall.go in service/recall	272	6	9
summary.pb.go in pkg/tensorflow/core/framework	777	82	9
user_item_exposure_graph_dao.go in module	183	5	9
user_recommend.go in service/pipeline	70	4	8
op.go in service/feature	126	8	8
online_hologres_vector_recall.go in service/recall	209	3	8
allocation_description.pb.go in pkg/tensorflow/core/framework	175	14	8
log_memory.pb.go in pkg/tensorflow/core/framework	551	55	8
user_video_collaborative_mysql_dao.go in module	186	4	8
user_collaborative_mysql_dao.go in module	186	4	8
predict.go in algorithm/tfserving	74	2	7
feature_service.go in service/feature	182	14	7
item_2_item_vector_racall.go in service/recall	135	2	7
hologres_vector_recall_v2.go in service/recall	190	2	7
device_attributes.pb.go in pkg/tensorflow/core/framework	375	36	7
op_def.pb.go in pkg/tensorflow/core/framework	573	56	7
user_collaborative_redis_dao.go in module	173	4	7
datahub.go in datasource/datahub	326	16	7
user_item_exposure_bloom_filter.go in filter	95	7	6