hash = {
"id" => "sjfdkjfd",
"name" => "Field Name",
"type" => "field",
"options" => ["L", "Q", "Q", "Q", "A", "A", "Q"],
"option_ids" => ["12345", "23456", "34567", "dog", "45678", "56789", "cat"]
}
I assume that "repeated elements" refers to contiguous equal elements (2
only in [1,2,2,1]
) as opposed to "duplicated elements" (both 1
and 2
in the previous example). I do show how the code would be altered (simplified, in fact) if the second interpretation applies.
idx = hash["options"].
each_with_index.
chunk_while { |(a,_),(b,_)| a==b }.
map { |(_,i),*| i }
#=> [0, 1, 4, 6]
hash.merge(
["options", "option_ids"].each_with_object({}) { |k,h| h[k] = hash[k].values_at(*idx) }
)
#=> {"id"=>"sjfdkjfd",
# "name"=>"Field Name",
# "type"=>"field",
# "options"=>["L", "Q", "A", "Q"],
# "option_ids"=>["12345", "23456", "45678", "cat"]}
If "repeated elements" is interpreted to mean that the values of "options"
and "option_ids"
are to only have the first three elements shown above, calculate idx
as follows:
idx = hash["options"].
each_with_index.
uniq { |s,_| s }.
map(&:last)
#=> [0, 1, 4]
See Enumerable#chunk_while (Enumerable#slice_when could be used instead) and Array#values_at. The steps are as follows.
a = hash["options"]
#=> ["L", "Q", "Q", "Q", "A", "A", "Q"]
e0 = a.each_with_index
#=> #<Enumerator: ["L", "Q", "Q", "Q", "A", "A", "Q"]:each_with_index>
e1 = e0.chunk_while { |(a,_),(b,_)| a==b }
#=> #<Enumerator: #<Enumerator::Generator:0x000055e4bcf17740>:each>
We can see the values the enumerator e1
will generate and pass to map
by converting it to an array:
e1.to_a
#=> [[["L", 0]],
# [["Q", 1], ["Q", 2], ["Q", 3]],
# [["A", 4], ["A", 5]], [["Q", 6]]]
Continuing,
idx = e1.map { |(_,i),*| i }
#=> [0, 1, 4, 6]
c = ["options", "option_ids"].
each_with_object({}) { |k,h| h[k] = hash[k].values_at(*idx) }
#=> {"options"=>["L", "Q", "A", "Q"],
# "option_ids"=>["12345", "23456", "45678", "cat"]}
hash.merge(c)
#=> {"id"=>"sjfdkjfd",
# "name"=>"Field Name",
# "type"=>"field",
# "options"=>["L", "Q", "A", "Q"],
# "option_ids"=>["12345", "23456", "45678", "cat"]}