[benchmark] RandomIntegersLCG future-proofed

[palimondo]

Allow for future change in algorithm that generates random integers in range.

See PR #25286.

[palimondo]

@swift-ci benchmark

[palimondo]

@swift-ci smoke test

[swift-ci]

Performance: -O

Regression	OLD	NEW	DELTA	RATIO
ObjectiveCBridgeStubFromNSStringRef	158	176	+11.4%	0.90x (?)
StringBuilderWithLongSubstring	1330	1440	+8.3%	0.92x (?)
Improvement	OLD	NEW	DELTA	RATIO
ArrayAppendGenericStructs	2110	1360	-35.5%	1.55x (?)

Code size: -O

Improvement	OLD	NEW	DELTA	RATIO
RandomValues.o	3774	3006	-20.3%	1.26x

Performance: -Osize

Regression	OLD	NEW	DELTA	RATIO
ArrayAppendGenericStructs	2120	2410	+13.7%	0.88x (?)
SortLettersInPlace	514	561	+9.1%	0.92x (?)

Code size: -Osize

Improvement	OLD	NEW	DELTA	RATIO
RandomValues.o	3415	2679	-21.6%	1.27x

Performance: -Onone

Regression	OLD	NEW	DELTA	RATIO
ObjectiveCBridgeFromNSDictionaryAnyObjectForced	9000	9950	+10.6%	0.90x (?)
Improvement	OLD	NEW	DELTA	RATIO
ArrayAppendOptionals	2350	1380	-41.3%	1.70x (?)
StringToDataLargeUnicode	4250	3900	-8.2%	1.09x (?)

Code size: -swiftlibs

How to read the data

The tables contain differences in performance which are larger than 8% and differences in code size which are larger than 1%.

If you see any unexpected regressions, you should consider fixing the
regressions before you merge the PR.

Noise: Sometimes the performance results (not code size!) contain false
alarms. Unexpected regressions which are marked with '(?)' are probably noise.
If you see regressions which you cannot explain you can try to run the
benchmarks again. If regressions still show up, please consult with the
performance team (@eeckstein).

Hardware Overview

  Model Name: Mac Pro
  Model Identifier: MacPro6,1
  Processor Name: 12-Core Intel Xeon E5
  Processor Speed: 2.7 GHz
  Number of Processors: 1
  Total Number of Cores: 12
  L2 Cache (per Core): 256 KB
  L3 Cache: 30 MB
  Memory: 64 GB