Array#summaryse (version 1.1.0)
[sudo] gem install summaryse
Links
- {http://rubydoc.info/github/blambeau/summaryse/master/frames} (read this file there!)
- {http://github.com/blambeau/summaryse} (source code)
Summaryse's summary
Summaryse provides a core extension, namely Array#summaryse. Oh, sorry, I must add: "OMG, a core extension :-/ If you are aware of any compatibility issue, let me know!".
So, what is Array#summaryse? Roughly, a way to computate aggregations. This goes from simple aggregations on simple values (summing integers), to complex aggregations on complex values (merging arrays of hashes that contain hashes and array of hashes that...). Below is a typical use case showing how Array#summaryse can be used to merge YAML files. Simpler examples are given a bit later.
An opinionated use-case -- YAML merging
In many projects of mine including {https://github.com/blambeau/noe noe}, {https://github.com/blambeau/agora agora} or {https://github.com/blambeau/dbagile dbagile}, a common need is to merge YAML files. Merging YAML files is difficult because you need full control of how merging applies on specific tree nodes. Summaryse solves this very effectively.
# This is left.yaml
left = YAML.load ... # syntactically wrong, but to avoid Yard's rewriting
hobbies:
- ruby
- rails
dependencies:
- {name: rspec, version: '2.6.4', for: [ runtime ]}
...
# This is right.yaml
right = YAML.load ...
hobbies:
- ruby
- music
dependencies:
- {name: rails, version: '3.0', for: [ runtime ]}
- {name: rspec, version: '2.6.4', for: [ test ]}
...
# This is merge.yaml
merge = YAML.load ...
hobbies: # on hobbies, we simply make a set-based union
:union
dependencies: # on dependencies, we apply recursively
- [name, version] # - 'aggregate by name and version'
- for: :union # - compute the union of 'for' usage
...
# Merge and re-dump
[ left, right ].summaryse(merge).to_yaml
# This is the (pretty-printed) result
hobbies:
- ruby
- rails
- music
dependencies:
- {name: rspec, version: '2.6.4', for: [ runtime, test ]}
- {name: rails, version: '3.0', for: [ runtime ]}
This is a very opinionated, yet already complex, case-study. Let me go back to a more general explanation now.
On simple values (integers, floats, ...)
Summarizing an array of simple values yields -> a simple value... Below are some examples on integers. We are in ruby, so duck-typing applies everywhere.
Arithmetics & Algebra
# :count, same as #size
[1, 4, 12, 7].summaryse(:count) # => 4
# :sum, same as #inject(:+)
[1, 4, 12, 7].summaryse(:sum) # => 24
# :avg, same as #inject(:+)/size
[1, 4, 12, 7].summaryse(:avg) # => 6.0
Array theory
# :min, same as #min
[1, 4, 12, 7].summaryse(:min) # => 1
# :max, same as #max
[1, 4, 12, 7].summaryse(:max) # => 12
# :first, same as #first
[1, 4, 12, 7].summaryse(:first) # => 1
# :last, same as #last
[1, 4, 12, 7].summaryse(:last) # => 7
Set theory
# :union, same as #inject(:|)
[ [1, 4], [12, 1, 7], [1] ].summaryse(:union) # => [1, 4, 12, 7]
# :intersection, same as #inject(:&)
[ [1, 4], [12, 1, 7], [1] ].summaryse(:intersection) # => [1]
On Hash-es
Summarizing an Array of Hash-es yields -> a Hash.
Previous section provided the base cases. You can use them on elements of hashes by passing a ... Hash of course:
[
{ :hobbies => [:ruby], :size => 12 },
{ :hobbies => [:music], :size => 17 }
].summaryse(:hobbies => :union, :size => :max)
# => {:hobbies => [:ruby, :music], :size => 17}
And it works recursively, of course:
[
{ :hobbies => {:day => [:ruby], :night => [:ruby] } },
{ :hobbies => {:day => [], :night => [:sleep]} }
].summaryse(:hobbies => {:day => :union, :night => :union})
# => {:hobbies => {:day => [:ruby], :night => [:ruby, :sleep]}}
Specifying default behavior
By default, the returned hash only contains elements for which you have provided a summarization heuristic. However, you can use a nil key to specify the default behavior to use on others:
[
{ :hobbies => [:ruby], :size => 12 },
{ :hobbies => [:music], :size => 17 }
].summaryse(:hobbies => :union, nil => :first)
# => {:hobbies => [:ruby, :music], :size => 12}
Unexisting keys
Specifying unexisting keys is also permitted. In this case, the evaluation is done on an empty array:
[
{ :hobbies => [:ruby], :size => 12 },
{ :hobbies => [:music], :size => 17 }
].summaryse(:hello => lambda{|a| a})
# => {:hello => []}
On Arrays of Hash-es
Summarizing an Array of Array-s of Hash-es yields -> an Array of Hash-es
There is a subtelty here, as you have to specify the "by key", that is, what hash elements form the summarization grouping terms.
[
[ { :name => :yard, :for => [ :devel ] },
{ :name => :summaryse, :for => [ :runtime ] } ],
[ { :name => :summaryse, :for => [ :devel ] },
{ :name => :treetop, :for => [ :runtime ] } ]
].summaryse([ [:name], {:for => :union} ])
# => [ {:name => :yard, :for => [:devel] },
# {:name => :summaryse, :for => [:devel, :runtime] },
# {:name => :treetop, :for => [:runtime] } ]
A quick remark: when merging arrays of hashes, #summaryse guarantees that the returned hashes are in order of encountered 'by key' values. That is, in the example above, yard comes before summaryse that comes before treetop because this is the order in which they have been seen initially.
Some extra goodness
On empty arrays
For now, no special support is provided for the corner cases. One could argue that the sum of an empty array should be 0, but this is wrong because of duck typing (maybe you try to sum something else)... A nil value is returned in almost all empty cases unless the semantics is very clear:
[].summaryse(:count) # => 0
[].summaryse(:sum) # => nil
[].summaryse(:avg) # => nil
[].summaryse(:min) # => nil
[].summaryse(:max) # => nil
[].summaryse(:first) # => nil
[].summaryse(:last) # => nil
[].summaryse(:intersection) # => nil
[].summaryse(:union) # => nil
Special support for specifying a default value to use on empty arrays should be provided around 2.0. Don't hesitate too contribute a patch if you need it earlier.
Specifying with lambdas
When no default summarization function fit your needs, just pass a lambda. It will be called with the array of values on which aggregation must be done:
[
{ :hobbies => [:ruby], :size => 12 },
{ :hobbies => [:music], :size => 17 }
].summaryse(:hobbies => :union, :size => lambda{|a|
a.join(', ')
})
# => {:hobbies => [:ruby, :music], :size => "12, 17"}
Registering your own aggregators
Since 1.1, you can register your own aggregation functions. Such function simply takes a single argument which is an array of values to aggregate. This is especially useful to install new and/or override existing aggregation functions. This also allows handling parameters:
Summaryse.register(:comma_join) do |ary|
ary.join(', ')
end
[1, 4, 12, 7].summaryse(:comma_join) # => "1, 4, 12, 7"
Aggregator objects
Sometimes it is useful to use your own objects as aggregators. For this, simply provide them a to_summaryse function that returns an aggregation function:
class Foo
def to_summaryse; :sum; end
end
[1, 2, 3].summaryse(Foo.new).should eq(6)
Returned object is anything that can be seen as an aggregation function: a Symbol, a Proc, a Hash, an Array, or even another such object:
class Bar
def to_summaryse; Foo.new; end
end
[1, 2, 3].summaryse(Bar.new).should eq(6)
Bypassing Hash entries
It is sometimes useful to explicit bypass specific Hash entries as the result of the computation. Entries for which the aggregator returns Summaryse::BYPASS will be simply removed from the result:
[
{ :hobbies => [:ruby], :size => 12 },
{ :hobbies => [:music], :size => 17 }
].summaryse(:size => :max, :hobbies => lambda{|a| Summaryse::BYPASS})
# => {:size => "17"}
Contribute, Versioning and so on.
As usual: the code is on {http://github.com/blambeau/summaryse github}, I follow {http://semver.org/ semantic versioning} (the public API is almost everything but implementation details, that is, the method name, its recognized arguments and the semantics of the returned value), etc.
By the way, why this stupid name?
Just because summarize was already an {https://rubygems.org/gems/summarize existing gem}. Summaryse is also much less likely to cause a name clash on the Array class. And I'm a french-speaking developer :-)
And where does 'summarize' come from? The name is inspired by (yet not equivalent to) {http://en.wikipedia.org/wiki/D_(data_language_specification)#Tutorial_D TUTORIAL D}'s summarization operator on relations. See my {https://github.com/blambeau/alf alf} project. Array#summaryse is rubyiesque in mind and does not conform to a purely relational vision of summarization, though.