String Associative Array Benchmark 2

Redoing old string associative benchmark (3 years ago) but now on Macbook Pro MJLQ2, here's the result:

alias time='/usr/local/bin/gtime -f "\nCPU: %Us\tReal: %es\tRAM: %MKB"'

$ java -version
java version "1.8.0_172"
Java(TM) SE Runtime Environment (build 1.8.0_172-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.172-b11, mixed mode)
$ time javac hash_map.java
CPU: 1.22sReal: 0.60sRAM: 67540KB
$ time java hash_map
6009354 6009348 611297
36186112 159701682 23370001
CPU: 274.83sReal: 53.47sRAM: 3946268KB

$ go version
go version go1.10.2 darwin/amd64
$ go build map.go
CPU: 0.09sReal: 0.14sRAM: 16160KB
$ time ./map
6009354 6009348 611297
36186112 159701682 23370001
CPU: 29.55sReal: 22.12sRAM: 2425316KB

$ dart --version
Dart VM version: 2.0.0 (Fri Aug 3 10:53:23 2018 +0200) on "macos_x64"
$ time dart ./map.dart
6009354 6009348 611297
36186112 159701682 23370001
CPU: 59.29sReal: 60.08sRAM: 1763952KB

$ node --version
v10.10.0
$ time node object.js # ERROR: TOO SLOW
^CCommand terminated by signal 2 
CPU: 855.68sReal: 763.40sRAM: 1517576KB

$ php -version
PHP 7.1.16 (cli) (built: Mar 31 2018 02:59:59) ( NTS )
Copyright (c) 1997-2018 The PHP Group
Zend Engine v3.1.0, Copyright (c) 1998-2018 Zend Technologies
$ time php -d memory_limit=4G assoc.php
6009354 6009348 611297
36186112 159701682 23370001CPU: 26.76sReal: 27.89sRAM: 1297824KB

$ mcs --version
Mono C# compiler version 5.10.1.0
$ time mcs dictionary.cs
CPU: 0.21sReal: 0.32sRAM: 42564KB
$ time mono ./dictionary.exe
6009354 6009348 611297
36186112 159701682 23370001CPU: 33.69sReal: 33.64sRAM: 1609576KB

$ ruby --version
ruby 2.3.7p456 (2018-03-28 revision 63024) [universal.x86_64-darwin17]
$ time ruby hash.rb
time ruby hash.rb
6009354 6009348 611297
36186112 159701682 23370001
CPU: 100.57sReal: 103.63sRAM: 3012148KB

$ jruby --version
jruby 9.2.0.0 (2.5.0) 2018-05-24 81156a8 Java HotSpot(TM) 64-Bit Server VM 25.172-b11 on 1.8.0_172-b11 +jit [darwin-x86_64]
$ time jruby hash.rb # ERROR: TOO MEMORY CONSUMING
Error: Your application used more memory than the automatic cap of 3641MB.
Specify -J-Xmx####M to increase it (#### = cap size in MB).
Specify -w for full java.lang.OutOfMemoryError: GC overhead limit exceeded stack trace
Command exited with non-zero status 1
CPU: 1616.55sReal: 257.91sRAM: 4439172KB

$ python3 --versionPython 3.7.0
$ time python3 dictionary.py
6009354 6009348 611297
36186112 159701682 23370001CPU: 117.59sReal: 121.63sRAM: 3923812KB

$ pypy --version
Python 2.7.13 (ab0b9caf307db6592905a80b8faffd69b39005b8, Jun 24 2018, 08:19:27)[PyPy 6.0.0 with GCC 4.2.1 Compatible Apple LLVM 9.1.0 (clang-902.0.39.2)]
$ time pypy dictionary.py
(6009354, 6009348, 611297)
(36186112, 159701682, 23370001)
CPU: 28.82sReal: 31.55sRAM: 3993764KB

$ lua -v
Lua 5.3.5  Copyright (C) 1994-2018 Lua.org, PUC-Rio
$ time lua table.lua
60093546009348611297
3618611215970168223370001CPU: 89.05sReal: 91.35sRAM: 2523332KB

$ luajit -v
LuaJIT 2.0.5 -- Copyright (C) 2005-2017 Mike Pall. http://luajit.org/
$ time luajit table.lua # ERROR: CANNOT ALLOC MEMORY
PANIC: unprotected error in call to Lua API (not enough memory)
Command exited with non-zero status 1CPU: 30.57sReal: 31.56sRAM: 1132648KB

This time PHP7 became the best performing programming language implementation, also the least memory consumption (I'm amazed with what they did in version 7). And as usual LuaJIT limited to 1-2GB so they failed, NodeJS too slow, and I'm unwilling to wait more than 10 minutes, so I terminate the app, JRuby hogging RAM too much.

Language	Version	Compile Duration	Compile RAM	Runtime Duration	Runtime RAM	2015's Duration	2015's RAM	Duration Improv	RAM Improv
C#	5.10.1.0	0.32	42,564	33.64	1,609,576	40.98	1,690,224	17.91%	4.77%
Dart	2.0.0			60.08	1,763,952	133.35	2,538,220	54.95%	30.50%
Go	1.10.2	0.14	16,160	22.12	2,425,316	24.10	2,748,784	8.22%	11.77%
Java	1.8.0_172	0.60	67,540	53.47	3,946,268	103.54	4,119,388	48.36%	4.20%
Lua	5.3.5			91.35	2,523,332	101.73	3,079,336	10.20%	18.06%
PHP	7.1.16			27.89	1,297,824	failed	failed
Pypy	6.0.0			31.55	3,993,764	79.87	4,034,956	60.50%	1.02%
Python3	3.7.0			121.63	3,923,812	157.71	4,335,568	22.88%	9.50%
Ruby	2.3.7p456			103.63	3,012,148	107.91	3,031,872	3.97%	0.65%