Run-length encoding (RLE) is a very simple form of data compression in which runs of data (that is, sequences in which the same data value occurs in many consecutive data elements) are stored as a single data value and count, rather than as the original run. Wikipedia
Your task is to write such a run-length encoding. For a given string, return a list (or array) of pairs (or arrays) [ (i1, s1), (i2, s2), …, (in, sn) ], such that one can reconstruct the original string by replicating the character sx ix times and concatening all those strings. Your run-length encoding should be minimal, ie. for all i the values si and si+1 should differ.
As the article states, RLE is a very simple form of data compression. It's only suitable for runs of data, as one can see in the following example:
runLengthEncoding "hello world!"
`shouldBe` [(1,'h'), (1,'e'), (2,'l'), (1,'o'), (1,' '), (1,'w'),(1,'o'), (1,'r'), (1,'l'), (1,'d'), (1,'!')]
runLengthEncoding "hello world!"
# => [[1,'h'], [1,'e'], [2,'l'], [1,'o'], [1,' '], [1,'w'], [1,'o'], [1,'r'], [1,'l'], [1,'d'], [1,'!']]
runLengthEncoding("hello world!")
//=> [[1,'h'], [1,'e'], [2,'l'], [1,'o'], [1,' '], [1,'w'], [1,'o'], [1,'r'], [1,'l'], [1,'d'], [1,'!']]
run_length_encoding("hello world!")
//=> [[1,'h'], [1,'e'], [2,'l'], [1,'o'], [1,' '], [1,'w'], [1,'o'], [1,'r'], [1,'l'], [1,'d'], [1,'!']]
rle("hello world!")
# => [[1,'h'], [1,'e'], [2,'l'], [1,'o'], [1,' '], [1,'w'], [1,'o'], [1,'r'], [1,'l'], [1,'d'], [1,'!']]
It's very effective if the same data value occurs in many consecutive data elements:
runLengthEncoding "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaabbb"
`shouldBe` [(34,'a'), (3,'b')]
runLengthEncoding "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaabbb"
# => [[34,'a'], [3,'b']]
runLengthEncoding("aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaabbb")
// => [[34,'a'], [3,'b']]
run_length_encoding("aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaabbb")
# => [[34,'a'], [3,'b']]
rle("aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaabbb")
# => [[34,'a'], [3,'b']]