tensorflow / metadata

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.

Duplication Overall

5% duplication:

2,352 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
136 duplicated lines

18 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 18 longest duplicates.

See data for all 18 duplicates...

Size	#	Folders	Files	Lines	Code
16	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto metric.proto problem_statement.proto	1:18 (5%) 1:18 (5%)	view
16	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto anomalies.proto schema.proto	1:18 (4%) 1:18 (2%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto anomalies.proto metric.proto	1:14 (3%) 1:14 (5%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto path.proto schema.proto	2:16 (35%) 2:16 (1%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto metric.proto schema.proto	1:14 (5%) 1:14 (1%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto problem_statement.proto statistics.proto	1:14 (4%) 1:14 (2%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto problem_statement.proto schema.proto	1:14 (4%) 1:14 (1%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto anomalies.proto statistics.proto	1:14 (3%) 1:14 (2%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto schema.proto statistics.proto	1:14 (1%) 1:14 (2%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto anomalies.proto path.proto	2:16 (3%) 2:16 (35%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto metric.proto statistics.proto	1:14 (5%) 1:14 (2%)	view
14	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto anomalies.proto problem_statement.proto	1:14 (3%) 1:14 (4%)	view
13	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto path.proto statistics.proto	2:14 (32%) 2:14 (2%)	view
13	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto metric.proto path.proto	2:14 (4%) 2:14 (32%)	view
13	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto path.proto problem_statement.proto	2:14 (32%) 2:14 (4%)	view
9	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto problem_statement.proto problem_statement.proto	112:120 (2%) 140:148 (2%)	view
7	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto schema.proto schema.proto	602:610 (<1%) 625:633 (<1%)	view
6	x 2	tensorflow_metadata/proto/v0 tensorflow_metadata/proto/v0	proto problem_statement.proto problem_statement.proto	52:57 (1%) 203:208 (1%)	view