To do the equivalent of Python list comprehensions, I'm doing the following:
some_array.select{|x| x % 2 == 0 }.collect{|x| x * 3} Is there a better way to do this...perhaps with one method call?
To do the equivalent of Python list comprehensions, I'm doing the following:
some_array.select{|x| x % 2 == 0 }.collect{|x| x * 3} Is there a better way to do this...perhaps with one method call?
How 'bout:
some_array.map {|x| x % 2 == 0 ? x * 3 : nil}.compact Slightly cleaner, at least to my taste, and according to a quick benchmark test about 15% faster than your version...
some_array.map{|x| x * 3 unless x % 2}.compact, which is arguably more readable/ruby-esque.unless x%2 has no effect since 0 is truthy in ruby. See: gist.github.com/jfarmer/2647362If you really want to, you can create an Array#comprehend method like this:
class Array def comprehend(&block) return self if block.nil? self.collect(&block).compact end end some_array = [1, 2, 3, 4, 5, 6] new_array = some_array.comprehend {|x| x * 3 if x % 2 == 0} puts new_array Prints:
6 12 18 I would probably just do it the way you did though.
[nil, nil, nil].comprehend {|x| x } which returns [].compact! returns nil instead of the array when no items are changed, so I don't think that works.I made a quick benchmark comparing the three alternatives and map-compact really seems to be the best option.
require 'test_helper' require 'performance_test_help' class ListComprehensionTest < ActionController::PerformanceTest TEST_ARRAY = (1..100).to_a def test_map_compact 1000.times do TEST_ARRAY.map{|x| x % 2 == 0 ? x * 3 : nil}.compact end end def test_select_map 1000.times do TEST_ARRAY.select{|x| x % 2 == 0 }.map{|x| x * 3} end end def test_inject 1000.times do TEST_ARRAY.inject([]) {|all, x| all << x*3 if x % 2 == 0; all } end end end /usr/bin/ruby1.8 -I"lib:test" "/usr/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake/rake_test_loader.rb" "test/performance/list_comprehension_test.rb" -- --benchmark Loaded suite /usr/lib/ruby/gems/1.8/gems/rake-0.8.7/lib/rake/rake_test_loader Started ListComprehensionTest#test_inject (1230 ms warmup) wall_time: 1221 ms memory: 0.00 KB objects: 0 gc_runs: 0 gc_time: 0 ms .ListComprehensionTest#test_map_compact (860 ms warmup) wall_time: 855 ms memory: 0.00 KB objects: 0 gc_runs: 0 gc_time: 0 ms .ListComprehensionTest#test_select_map (961 ms warmup) wall_time: 955 ms memory: 0.00 KB objects: 0 gc_runs: 0 gc_time: 0 ms . Finished in 66.683039 seconds. 15 tests, 0 assertions, 0 failures, 0 errors reduce in this benchmark as well (see stackoverflow.com/a/17703276).There seems to be some confusion amongst Ruby programmers in this thread concerning what list comprehension is. Every single response assumes some preexisting array to transform. But list comprehension's power lies in an array created on the fly with the following syntax:
squares = [x**2 for x in range(10)] The following would be an analog in Ruby (the only adequate answer in this thread, AFAIC):
a = Array.new(4).map{rand(2**49..2**50)} In the above case, I'm creating an array of random integers, but the block could contain anything. But this would be a Ruby list comprehension.
I discussed this topic with Rein Henrichs, who tells me that the best performing solution is
map { ... }.compact This makes good sense because it avoids building intermediate Arrays as with the immutable usage of Enumerable#inject, and it avoids growing the Array, which causes allocation. It's as general as any of the others unless your collection can contain nil elements.
I haven't compared this with
select {...}.map{...} It's possible that Ruby's C implementation of Enumerable#select is also very good.
I've just published the comprehend gem to RubyGems, which lets you do this:
require 'comprehend' some_array.comprehend{ |x| x * 3 if x % 2 == 0 } It's written in C; the array is only traversed once.
comprehend doesn't make it a comprehension.An alternative solution that will work in every implementation and run in O(n) instead of O(2n) time is:
some_array.inject([]){|res,x| x % 2 == 0 ? res << 3*x : res} 2 things n times instead of 1 thing n times and then another 1 thing n times :) One important advantage of inject/reduce is that it preserves any nil values in the input sequence which is more list-comprehensionly behaviourEnumerable has a grep method whose first argument can be a predicate proc, and whose optional second argument is a mapping function; so the following works:
some_array.grep(proc {|x| x % 2 == 0}) {|x| x*3} This isn't as readable as a couple of other suggestions (I like anoiaque's simple select.map or histocrat's comprehend gem), but its strengths are that it's already part of the standard library, and is single-pass and doesn't involve creating temporary intermediate arrays, and doesn't require an out-of-bounds value like nil used in the compact-using suggestions.
Ruby 2.7 introduced filter_map which pretty much achieves what you want (map + compact):
some_array.filter_map { |x| x * 3 if x % 2 == 0 } You can read more about it here.
This is more concise:
[1,2,3,4,5,6].select(&:even?).map{|x| x*3} [1,2,3,4,5,6].select(&:even?).map(&3.method(:*))Something like this:
def lazy(collection, &blk) collection.map{|x| blk.call(x)}.compact end Call it:
lazy (1..6){|x| x * 3 if x.even?} Which returns:
=> [6, 12, 18] lazy on Array and then: (1..6).lazy{|x|x*3 if x.even?}Like Pedro mentioned, you can fuse together the chained calls to Enumerable#select and Enumerable#map, avoiding a traversal over the selected elements. This is true because Enumerable#select is a specialization of fold or inject. I posted a hasty introduction to the topic at the Ruby subreddit.
Manually fusing Array transformations can be tedious, so maybe someone could play with Robert Gamble's comprehend implementation to make this select/map pattern prettier.
This is one way to approach this:
c = -> x do $*.clear if x['if'] && x[0] != 'f' . y = x[0...x.index('for')] x = x[x.index('for')..-1] (x.insert(x.index(x.split[3]) + x.split[3].length, " do $* << #{y}") x.insert(x.length, "end; $*") eval(x) $*) elsif x['if'] && x[0] == 'f' (x.insert(x.index(x.split[3]) + x.split[3].length, " do $* << x") x.insert(x.length, "end; $*") eval(x) $*) elsif !x['if'] && x[0] != 'f' y = x[0...x.index('for')] x = x[x.index('for')..-1] (x.insert(x.index(x.split[3]) + x.split[3].length, " do $* << #{y}") x.insert(x.length, "end; $*") eval(x) $*) else eval(x.split[3]).to_a end end so basically we are converting a string to proper ruby syntax for loop then we can use python syntax in a string to do:
c['for x in 1..10'] c['for x in 1..10 if x.even?'] c['x**2 for x in 1..10 if x.even?'] c['x**2 for x in 1..10'] # [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # [2, 4, 6, 8, 10] # [4, 16, 36, 64, 100] # [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] or if you don't like the way the string looks or having to use a lambda we could forego the attempt to mirror python syntax and do something like this:
S = [for x in 0...9 do $* << x*2 if x.even? end, $*][1] # [0, 4, 8, 12, 16] https://rubygems.org/gems/ruby_list_comprehension
shameless plug for my Ruby List Comprehension gem to allow idiomatic Ruby list comprehensions
$l[for x in 1..10 do x + 2 end] #=> [3, 4, 5 ...] I think the most list comprehension-esque would be the following:
some_array.select{ |x| x * 3 if x % 2 == 0 } Since Ruby allows us to place the conditional after the expression, we get syntax similar to the Python version of the list comprehension. Also, since the select method does not include anything that equates to false, all nil values are removed from the resultant list and no call to compact is necessary as would be the case if we had used map or collect instead.