tensorflow / kfac
Duplication

Places in code with 6 or more lines that are exactly the same.

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
  • 6% duplication:
    • 6,879 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 464 duplicated lines
  • 43 duplicates
system6% (464 lines)
Duplication per Extension
py6% (464 lines)
Duplication per Component (primary)
kfac/python/ops8% (431 lines)
kfac/python/ops/kfac_utils8% (19 lines)
kfac/python/ops/tensormatch1% (14 lines)
ROOT0% (0 lines)
kfac/python0% (0 lines)
kfac/python/keras0% (0 lines)
kfac0% (0 lines)
Longest Duplicates
The list of 20 longest duplicates.
See data for all 43 duplicates...
Size#FoldersFilesLinesCode
19 x 2 kfac/python/ops
kfac/python/ops
fisher_blocks.py
fisher_blocks.py
1094:1134 (2%)
1163:1203 (2%)
view
13 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
769:781 (<1%)
2255:2268 (<1%)
view
11 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
1385:1398 (<1%)
1567:1580 (<1%)
view
10 x 2 kfac/python/ops
kfac/python/ops
fisher_blocks.py
fisher_blocks.py
339:356 (1%)
426:443 (1%)
view
10 x 2 kfac/python/ops/kfac_utils
kfac/python/ops
periodic_inv_cov_update_kfac_opt.py
optimizer.py
123:132 (10%)
545:554 (1%)
view
10 x 2 kfac/python/ops
kfac/python/ops
layer_collection.py
layer_collection.py
921:930 (1%)
1352:1361 (1%)
view
9 x 2 kfac/python/ops/kfac_utils
kfac/python/ops
periodic_inv_cov_update_kfac_opt.py
optimizer.py
154:162 (9%)
570:578 (1%)
view
9 x 2 kfac/python/ops
kfac/python/ops
layer_collection.py
layer_collection.py
1656:1695 (1%)
1700:1735 (1%)
view
9 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
1783:1793 (<1%)
1993:2003 (<1%)
view
9 x 2 kfac/python/ops
kfac/python/ops
layer_collection.py
layer_collection.py
1488:1526 (1%)
1531:1567 (1%)
view
8 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
971:980 (<1%)
1083:1092 (<1%)
view
8 x 2 kfac/python/ops
kfac/python/ops
layer_collection.py
layer_collection.py
837:845 (<1%)
1011:1019 (<1%)
view
8 x 2 kfac/python/ops
kfac/python/ops
fisher_blocks.py
fisher_blocks.py
997:1004 (1%)
1555:1562 (1%)
view
8 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
1170:1179 (<1%)
1668:1677 (<1%)
view
8 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
1709:1716 (<1%)
1902:1909 (<1%)
view
8 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
1287:1296 (<1%)
1567:1576 (<1%)
view
8 x 2 kfac/python/ops
kfac/python/ops
fisher_factors.py
fisher_factors.py
1287:1296 (<1%)
1385:1394 (<1%)
view
7 x 2 kfac/python/ops
kfac/python/ops
optimizer.py
optimizer.py
1190:1199 (1%)
1226:1235 (1%)
view
7 x 2 kfac/python/ops
kfac/python/ops
layer_collection.py
layer_collection.py
938:944 (<1%)
1352:1358 (<1%)
view
7 x 2 kfac/python/ops
kfac/python/ops
layer_collection.py
layer_collection.py
443:449 (<1%)
524:530 (<1%)
view