Parallel versus sequential assignment is microbenchmark (not representative) and scales with number of inputs

Revisa code/general/assignment.rb y la presentación relacionada en README; después, compara las afirmaciones del benchmark con los ejemplos y las mediciones de este issue. Determina si se debe eliminar el benchmark o anotarlo ampliamente, y verifica que la documentación resultante ya no presente la comparación como ampliamente representativa.

Update: Parallel assignment doesn't allocate unless it's the last statement in a method/proc. There's a benchmark provided below. I'm

I think this benchmark https://github.com/fastruby/fast-ruby/blob/main/code/general/assignment.rb needs to be removed or at least heavily annotated on the readme. It is not representative of real code. In my experience, removing parallel assignments into sequential ones speeds up apps.

One reason is that parallel assignments [can] allocate an intermediate array [if it is the last statement in a method for example], the other is that the benchmark uses MANY assignments and the performance difference seems to scale with assignment numbers. In the wild the most common number is 2.

Also worth noting that by using integers, we're isolating to only the assignment time (mostly) but this distorts the possible impact of the code. If you switch to strings that allocate then the pressure on the GC actually causes sequential assignment to be faster (at least sometimes).

Benchmarks below.

Reasoning

In https://github.com/fastruby/fast-ruby/blob/main/code/general/assignment.rb it states that parallel assignment is much faster than sequential assignment, but if you have only 2 assignments, the difference is negligible:

require 'benchmark/ips'

def fast
  _a, _b= 1, 2
  nil
end

def slow
  _a = 1
  _b = 2
  nil
end

Benchmark.ips do |x|
  x.report('Parallel Assignment')   { fast }
  x.report('Sequential Assignment') { slow }
  x.compare!
end

Warming up --------------------------------------
 Parallel Assignment     1.494M i/100ms
Sequential Assignment
                         1.344M i/100ms
Calculating -------------------------------------
 Parallel Assignment     14.659M (± 4.9%) i/s -     73.229M in   5.007646s
Sequential Assignment
                         15.020M (± 4.0%) i/s -     75.261M in   5.019081s

Comparison:
Sequential Assignment: 15019526.2 i/s
 Parallel Assignment: 14658684.7 i/s - same-ish: difference falls within error

Note that sequential assignment is faster here (but within error). While the parallel assignment is fewer operations, it also introduces an intermediate array that requires an allocation:

$ cat scratch.rb
require 'memory_profiler'
report = MemoryProfiler.report do
  _a, _b = 1, 2
end

report.pretty_print
⛄️ 3.1.2 🚀 /tmp
$ ruby scratch.rb
Total allocated: 40 bytes (1 objects)
Total retained:  40 bytes (1 objects)

allocated memory by gem
-----------------------------------
        40  other

allocated memory by file
-----------------------------------
        40  scratch.rb

allocated memory by location
-----------------------------------
        40  scratch.rb:3

allocated memory by class
-----------------------------------
        40  Array
# ...

[Note that the above only works because the parallel assignment is returned _a, _b = 1, 2; nil does not allocate]

Even in the case of MANY sequential versus parallel assignments, if the function is doing anything non-trivial (such as allocating strings as opposed to using integers which are all singletons, then the effect of the "faster" parallel assignment is pretty much negligible. This run actually has sequential being faster:

require 'benchmark/ips'

def fast
  _a, _b, _c, _d, _e, _f, _g, _h = String.new("1"), String.new("2"), String.new("3"), String.new("4"), String.new("5"), String.new("6"), String.new("7"), String.new("8")
  nil
end

def slow
  _a = String.new("1")
  _b = String.new("2")
  _c = String.new("3")
  _d = String.new("4")
  _e = String.new("5")
  _f = String.new("6")
  _g = String.new("7")
  _h = String.new("8")
  nil
end

Benchmark.ips do |x|
  x.report('Parallel Assignment')   { fast }
  x.report('Sequential Assignment') { slow }
  x.compare!
end

Warming up --------------------------------------
 Parallel Assignment    80.318k i/100ms
Sequential Assignment
                        77.943k i/100ms
Calculating -------------------------------------
 Parallel Assignment    796.245k (± 3.7%) i/s -      4.016M in   5.050973s
Sequential Assignment
                        767.116k (± 5.9%) i/s -      3.897M in   5.099053s

Comparison:
 Parallel Assignment:   796245.3 i/s
Sequential Assignment:   767115.8 i/s - same-ish: difference falls within error

The sequential assignment is also faster here (but within error).