Reporting script runtimes in pg_regress

I've wondered for some time whether we couldn't make a useful
reduction in the run time of the PG regression tests by looking
for scripts that run significantly longer than others in their
parallel groups, and making an effort to trim the runtimes of
those particular scripts.

The first step in that of course is to get some data, so attached
is a patch to pg_regress to cause it to print the runtime of each
script. This produces results like, say,

parallel group (17 tests): circle line timetz path lseg point macaddr macaddr8 time interval inet tstypes date box timestamp timestamptz polygon
point ... ok (35 ms)
lseg ... ok (31 ms)
line ... ok (23 ms)
box ... ok (135 ms)
path ... ok (24 ms)
polygon ... ok (1256 ms)
circle ... ok (20 ms)
date ... ok (69 ms)
time ... ok (40 ms)
timetz ... ok (22 ms)
timestamp ... ok (378 ms)
timestamptz ... ok (378 ms)
interval ... ok (50 ms)
inet ... ok (56 ms)
macaddr ... ok (33 ms)
macaddr8 ... ok (37 ms)
tstypes ... ok (62 ms)

or on a rather slower machine,

parallel group (8 tests): hash_part reloptions partition_info identity partition_join partition_aggregate partition_prune indexing
identity ... ok (3807 ms)
partition_join ... ok (10433 ms)
partition_prune ... ok (19370 ms)
reloptions ... ok (1166 ms)
hash_part ... ok (628 ms)
indexing ... ok (22070 ms)
partition_aggregate ... ok (12731 ms)
partition_info ... ok (1373 ms)
test event_trigger ... ok (1953 ms)
test fast_default ... ok (2689 ms)
test stats ... ok (1173 ms)

Does anyone else feel that this is interesting/useful data?

regards, tom lane