Change the integer-literal type from Int2048 to IntLiteral

[rjmccall]

Part of SR-290 / rdar://25100871.

The type was implemented in #20200.
Runtime support was added in #20177.

[rjmccall]

@swift-ci Please test.

[swift-ci]

Build failed
Swift Test OS X Platform
Git Sha - 8a26656ee4f8e843757f598b0b88de7e72911037

[rjmccall]

@swift-ci Please test.

[rjmccall]

@swift-ci Please test source compatibility

[swift-ci]

Build failed
Swift Test Linux Platform
Git Sha - 8a26656ee4f8e843757f598b0b88de7e72911037

[swift-ci]

Build failed
Swift Test OS X Platform
Git Sha - 8a26656ee4f8e843757f598b0b88de7e72911037

[rjmccall]

@swift-ci Please test OS X.

[rjmccall]

@swift-ci Please smoke benchmark.

[rjmccall]

@swift-ci Please benchmark

[rjmccall]

Okay, all those source-compatibility failures are there on the main bots.

[swift-ci]

Build comment file:

Performance: -O

TEST	OLD	NEW	DELTA	RATIO
Improvement
CStringLongAscii	3526	3282	-6.9%	1.07x

Performance: -Osize

TEST	OLD	NEW	DELTA	RATIO
Improvement
CStringLongAscii	3528	3278	-7.1%	1.08x

Performance: -Onone

TEST	OLD	NEW	DELTA	RATIO
Improvement
DictionaryCompactMapValuesOfCastValue	123656	97884	-20.8%	1.26x
WordCountUniqueASCII	8167	6935	-15.1%	1.18x
ArrayOfGenericPOD2	1236	1067	-13.7%	1.16x (?)
ArrayOfPOD	858	782	-8.9%	1.10x
MonteCarloE	1231361	1144667	-7.0%	1.08x
MonteCarloPi	5656060	5279794	-6.7%	1.07x

Code size: Swift libraries

TEST	OLD	NEW	DELTA	RATIO
Improvement
libswiftCore.dylib	3911680	3813376	-2.5%	1.03x

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

---

[swift-ci]

Build comment file:

Performance: -O

TEST	OLD	NEW	DELTA	RATIO
Regression
StringHashing_abnormal	1311	1430	+9.1%	0.92x
CStringLongAscii	3282	3540	+7.9%	0.93x
Improvement
UTF8Decode_InitFromBytes	1387	1185	-14.6%	1.17x
StringWordBuilder	1887	1739	-7.8%	1.09x (?)
FloatingPointPrinting_Float_description_small	5561	5173	-7.0%	1.08x

Performance: -Osize

TEST	OLD	NEW	DELTA	RATIO
Regression
StringHashing_abnormal	1305	1434	+9.9%	0.91x
CStringLongAscii	3280	3534	+7.7%	0.93x

Performance: -Onone

TEST	OLD	NEW	DELTA	RATIO
Regression
ArrayOfGenericPOD2	1066	1236	+15.9%	0.86x (?)
UTF8Decode_InitDecoding_ascii	843	927	+10.0%	0.91x
ArrayOfPOD	785	861	+9.7%	0.91x (?)
CStringLongAscii	3367	3638	+8.0%	0.93x
Improvement
CharIteration_tweet_unicodeScalars_Backwards	624239	498797	-20.1%	1.25x
CharIteration_chinese_unicodeScalars_Backwards	229660	190255	-17.2%	1.21x
CharIteration_russian_unicodeScalars_Backwards	251977	209430	-16.9%	1.20x
CharIteration_japanese_unicodeScalars_Backwards	362111	301470	-16.7%	1.20x
CharIteration_korean_unicodeScalars_Backwards	292831	243863	-16.7%	1.20x
CharIteration_punctuated_unicodeScalars_Backwards	66138	55310	-16.4%	1.20x
CharIteration_punctuatedJapanese_unicodeScalars_Backwards	52510	44078	-16.1%	1.19x
CharIteration_utf16_unicodeScalars_Backwards	249009	219512	-11.8%	1.13x
DictionaryCompactMapValuesOfCastValue	109579	99017	-9.6%	1.11x
MonteCarloE	1236852	1147753	-7.2%	1.08x
ArraySubscript	115102	107035	-7.0%	1.08x
MonteCarloPi	5643028	5257793	-6.8%	1.07x

Code size: Swift libraries

TEST	OLD	NEW	DELTA	RATIO
Improvement
libswiftCore.dylib	3911680	3813376	-2.5%	1.03x

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

---