The correct benchmark is:
(look how long x.times takes

require 'benchmark'
include Benchmark
bmbm do |t|
t.report("<<") do
100_000.times do
a = []
a << [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
a << [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
a << [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
a << [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39]
a << [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49]
a << [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]
a << [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69]
a << [ 70, 71, 72, 73, 74, 75, 76, 77, 78, 79]
a << [ 80, 81, 82, 83, 84, 85, 86, 87, 88, 89]
a << [ 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]
end
end
t.report("[]") do
100_000.times do
a = [
[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
[ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
[ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39],
[ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
[ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59],
[ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69],
[ 70, 71, 72, 73, 74, 75, 76, 77, 78, 79],
[ 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],
[ 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]
]
end
end
t.report("NO") do
100_000.times do
100.times do |x|
end
end
end
end
Rehearsal --------------------------------------
<< 1.020000 0.020000 1.040000 ( 1.047729)
[] 0.730000 0.010000 0.740000 ( 0.741970)
NO 4.270000 1.510000 5.780000 ( 5.808074)
----------------------------- total: 7.560000sec
user system total real
<< 1.000000 0.020000 1.020000 ( 1.032165)
[] 0.740000 0.010000 0.750000 ( 0.743470)
NO 5.070000 1.560000 6.630000 ( 6.634026)
So << and [] are comparable.
Shadowfirebird has good solution inmho w/o significant perfomance
impact.