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Chandler Carruth
177663551b
This is awkward to track... Probably it would be best done by tracking
the ratio of unique IDs to lines as a floating point and plot them and
see what a best fit distribution curve looks like. But none of the
histogram printing or stats tracking stuff already in use here makes it
easy to do any of that...
So this does what I hope is a reasonable rough approximation by counting
the ceiling of unique identifiers per 10 lines of code, and plotting
that discreet histogram. Shape of the histogram is exactly what I would
expect: one centered distribution, vaguely normal looking. And the
center for a bunch of different codebases, including our toolchain, is
exactly at 5, which would mean 0.5 unique IDs per line. And the
distribution is pretty reliably bounded above by 10 or 1 unique ID per
line. Which almost seems to clean to be true? Slightly worried about
confirmation bias making me think this code is working because the
results look so pretty.
Here is the output for the toolchain:
```
## Unique IDs per 10 lines ## (median: 6)
2 ids [ 2] █▎
3 ids [19] ████████████▎
4 ids [32] ████████████████████▋
5 ids [55] ███████████████████████████████████▌
6 ids [62] ████████████████████████████████████████
7 ids [44] ████████████████████████████▍
8 ids [22] ██████████████▎
9 ids [11] ███████▏
10 ids [ 7] ████▌
11 ids [ 2] █▎
```
And here is the output for llvm-project/*/{lib,include} (to avoid
tests):
```
# Unique IDs per 10 lines ## (median: 5)
1 ids [ 29] ▍
2 ids [ 282] ███▊
3 ids [1492] ███████████████████▉
4 ids [2674] ███████████████████████████████████▌
5 ids [3011] ████████████████████████████████████████
6 ids [2267] ██████████████████████████████▏
7 ids [1549] ████████████████████▋
8 ids [ 817] ██████████▉
9 ids [ 301] ████
10 ids [ 98] █▎
11 ids [ 61] ▊
12 ids [ 50] ▋
13 ids [ 25] ▍
14 ids [ 33] ▌
15 ids [ 14] ▏
16 ids [ 15] ▎
17 ids [ 9] ▏
18 ids [ 8] ▏
19 ids [ 12] ▏
20 ids [ 15] ▎
21 ids [ 3]
22 ids [ 8] ▏
23 ids [ 3]
24 ids [ 3]
25 ids [ 6] ▏
26 ids [ 0]
27 ids [ 2]
28 ids [ 0]
29 ids [ 0]
30 ids [ 3]
31 ids [ 1]
32 ids [ 1]
```