apache / singa - Duplication

Intro

For duplication, we look at places in code where there are 6 or more lines of code that are exactly the same.
Before duplication is calculated, the code is cleaned to remove empty lines, comments, and frequently duplicated constructs such as imports.
You should aim at having as little as possible (<5%) of duplicated code as high-level of duplication can lead to maintenance difficulties, poor factoring, and logical contradictions.

Learn more...

Duplication Overall

14% duplication:

34,642 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
5,165 duplicated lines

998 duplicates

dependency graphs: 2D graph | 3D graph | 3D graph (with duplicates)...

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 50 longest duplicates.

See data for all 998 duplicates...

Size	#	Folders	Files	Lines	Code
95	x 2	src/api src/api	i numpy.i numpy.i	2753:2862 (3%) 2905:3014 (3%)	view
50	x 2	src/api src/api	i numpy.i numpy.i	2864:2922 (1%) 3016:3074 (1%)	view
42	x 2	src/proto src/proto	proto caffe.proto model.proto	1019:1061 (3%) 783:825 (4%)	view
38	x 2	src/model/operation src/model/operation	rnn.cc rnn.cc	569:615 (6%) 634:680 (6%)	view
31	x 2	src/proto src/proto	proto caffe.proto model.proto	1159:1189 (2%) 891:921 (3%)	view
25	x 2	src/model/operation src/model/operation	rnn.cc rnn.cc	200:227 (4%) 272:299 (4%)	view
23	x 2	src/proto src/proto	proto caffe.proto model.proto	956:981 (1%) 718:743 (2%)	view
21	x 2	src/api src/api	i core_tensor.i singa.i	1:22 (6%) 1:22 (75%)	view
21	x 2	src/api src/api	i dist_communicator.i model_loss.i	1:22 (40%) 1:22 (41%)	view
21	x 2	src/api src/api	i core_device.i dist_communicator.i	1:22 (26%) 1:22 (40%)	view
21	x 2	src/api src/api	i core_tensor.i dist_communicator.i	1:22 (6%) 1:22 (40%)	view
21	x 2	src/api src/api	i dist_communicator.i singa.i	1:22 (40%) 1:22 (75%)	view
21	x 2	src/api src/api	i model_layer.i singa.i	1:22 (17%) 1:22 (75%)	view
21	x 2	src/api src/api	i core_tensor.i model_metric.i	1:22 (6%) 1:22 (53%)	view
21	x 2	src/api src/api	i core_device.i model_metric.i	1:22 (26%) 1:22 (53%)	view
21	x 2	src/api src/api	i dist_communicator.i io_snapshot.i	1:22 (40%) 1:22 (53%)	view
21	x 2	src/api src/api	i core_device.i model_layer.i	1:22 (26%) 1:22 (17%)	view
21	x 2	src/api src/api	i model_loss.i model_metric.i	1:22 (41%) 1:22 (53%)	view
21	x 2	src/api src/api	i model_layer.i model_metric.i	1:22 (17%) 1:22 (53%)	view
21	x 2	src/api src/api	i core_device.i core_tensor.i	1:22 (26%) 1:22 (6%)	view
21	x 2	src/api src/api	i dist_communicator.i model_layer.i	1:22 (40%) 1:22 (17%)	view
21	x 2	src/api src/api	i io_snapshot.i model_loss.i	1:22 (53%) 1:22 (41%)	view
21	x 2	src/api src/api	i dist_communicator.i model_metric.i	1:22 (40%) 1:22 (53%)	view
21	x 2	src/api src/api	i model_layer.i model_loss.i	1:22 (17%) 1:22 (41%)	view
21	x 2	src/api src/api	i core_tensor.i io_snapshot.i	1:22 (6%) 1:22 (53%)	view
21	x 2	src/api src/api	i core_device.i model_loss.i	1:22 (26%) 1:22 (41%)	view
21	x 2	src/api src/api	i core_device.i io_snapshot.i	1:22 (26%) 1:22 (53%)	view
21	x 2	src/api src/api	i model_metric.i singa.i	1:22 (53%) 1:22 (75%)	view
21	x 2	src/api src/api	i io_snapshot.i model_layer.i	1:22 (53%) 1:22 (17%)	view
21	x 2	src/api src/api	i model_loss.i singa.i	1:22 (41%) 1:22 (75%)	view
21	x 2	src/api src/api	i io_snapshot.i singa.i	1:22 (53%) 1:22 (75%)	view
21	x 2	src/api src/api	i core_tensor.i model_layer.i	1:22 (6%) 1:22 (17%)	view
21	x 2	src/api src/api	i core_device.i singa.i	1:22 (26%) 1:22 (75%)	view
21	x 2	src/api src/api	i core_tensor.i model_loss.i	1:22 (6%) 1:22 (41%)	view
21	x 2	src/api src/api	i io_snapshot.i model_metric.i	1:22 (53%) 1:22 (53%)	view
20	x 2	src/api src/api	i model_layer.i model_operation.i	1:20 (16%) 1:20 (10%)	view
20	x 2	src/api src/api	i model_loss.i model_operation.i	1:20 (39%) 1:20 (10%)	view
20	x 2	src/api src/api	i io_snapshot.i model_operation.i	1:20 (51%) 1:20 (10%)	view
20	x 2	src/api src/api	i model_operation.i singa.i	1:20 (10%) 1:20 (71%)	view
20	x 2	src/api src/api	i model_metric.i model_operation.i	1:20 (51%) 1:20 (10%)	view
20	x 2	src/api src/api	i core_device.i model_operation.i	1:20 (25%) 1:20 (10%)	view
20	x 2	src/api src/api	i dist_communicator.i model_operation.i	1:20 (38%) 1:20 (10%)	view
20	x 2	src/api src/api	i core_tensor.i model_operation.i	1:20 (6%) 1:20 (10%)	view
19	x 2	src/proto src/proto	proto caffe.proto model.proto	414:432 (1%) 253:271 (2%)	view
19	x 2	python/singa python/singa	layer.py layer.py	582:603 (1%) 938:959 (1%)	view
19	x 2	src/api src/api	i numpy.i numpy.i	1001:1024 (<1%) 1236:1259 (<1%)	view
19	x 2	src/proto src/proto	proto core.proto model.proto	1:21 (27%) 1:21 (2%)	view
19	x 2	src/proto src/proto	proto core.proto io.proto	1:21 (27%) 1:21 (35%)	view
19	x 2	src/proto src/proto	proto io.proto model.proto	1:21 (35%) 1:21 (2%)	view
18	x 2	src/proto src/proto	proto caffe.proto model.proto	1000:1017 (1%) 764:781 (2%)	view