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# Etl
We are going to do the `Transform` step of an Extract-Transform-Load.
### ETL
Extract-Transform-Load (ETL) is a fancy way of saying, "We have some crufty, legacy data over in this system, and now we need it in this shiny new system over here, so
we're going to migrate this."
(Typically, this is followed by, "We're only going to need to run this
once." That's then typically followed by much forehead slapping and
moaning about how stupid we could possibly be.)
### The goal
We're going to extract some scrabble scores from a legacy system.
The old system stored a list of letters per score:
- 1 point: "A", "E", "I", "O", "U", "L", "N", "R", "S", "T",
- 2 points: "D", "G",
- 3 points: "B", "C", "M", "P",
- 4 points: "F", "H", "V", "W", "Y",
- 5 points: "K",
- 8 points: "J", "X",
- 10 points: "Q", "Z",
The shiny new scrabble system instead stores the score per letter, which
makes it much faster and easier to calculate the score for a word. It
also stores the letters in lower-case regardless of the case of the
input letters:
- "a" is worth 1 point.
- "b" is worth 3 points.
- "c" is worth 3 points.
- "d" is worth 2 points.
- Etc.
Your mission, should you choose to accept it, is to write a program that
transforms the legacy data format to the shiny new format.
### Notes
Note that both the old and the new system use strings to represent
letters, even in languages that have a separate data type for
characters.
A final note about scoring, Scrabble is played around the world in a
variety of languages, each with its own unique scoring table. For
example, an "A" is scored at 14 in the Basque-language version of the
game while being scored at 9 in the Latin-language version.
To run the tests simply run the command `go test` in the exercise directory.
If the test suite contains benchmarks, you can run these with the `-bench`
flag:
go test -bench .
For more detailed info about the Go track see the [help
page](http://help.exercism.io/getting-started-with-go.html).
## Source
The Jumpstart Lab team [view source](http://jumpstartlab.com)

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package etl
import "strings"
// Transform takes the legacy data structure
// and converts it into the new and improved
// data structure oh man this new system will
// make us so rich you guys.
func Transform(input map[int][]string) map[string]int {
ret := make(map[string]int)
for k, v := range input {
for _, let := range v {
ret[strings.ToLower(let)] = k
}
}
return ret
}

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package etl
import "testing"
type given map[int][]string
type expectation map[string]int
var transformTests = []struct {
input given
output expectation
}{
{
given{1: {"A"}},
expectation{"a": 1},
},
{
given{1: {"A", "E", "I", "O", "U"}},
expectation{"a": 1, "e": 1, "i": 1, "o": 1, "u": 1},
},
{
given{
1: {"A", "E"},
2: {"D", "G"},
},
expectation{
"a": 1,
"e": 1,
"d": 2,
"g": 2,
},
},
{
given{
1: {"A", "E", "I", "O", "U", "L", "N", "R", "S", "T"},
2: {"D", "G"},
3: {"B", "C", "M", "P"},
4: {"F", "H", "V", "W", "Y"},
5: {"K"},
8: {"J", "X"},
10: {"Q", "Z"},
},
expectation{
"a": 1, "e": 1, "i": 1, "o": 1, "u": 1, "l": 1, "n": 1, "r": 1, "s": 1, "t": 1,
"d": 2, "g": 2,
"b": 3, "c": 3, "m": 3, "p": 3,
"f": 4, "h": 4, "v": 4, "w": 4, "y": 4,
"k": 5,
"j": 8, "x": 8,
"q": 10, "z": 10,
},
},
}
func equal(actual map[string]int, expectation map[string]int) bool {
if len(actual) != len(expectation) {
return false
}
for k, actualVal := range actual {
expectationVal, present := expectation[k]
if !present || actualVal != expectationVal {
return false
}
}
return true
}
func TestTranform(t *testing.T) {
for _, tt := range transformTests {
actual := Transform(map[int][]string(tt.input))
if !equal(actual, tt.output) {
t.Fatalf("Transform(%v). Expected [%v], Actual [%v]", tt.input, tt.output, actual)
}
}
}
func BenchmarkTranform(b *testing.B) {
b.StopTimer()
for _, tt := range transformTests {
b.StartTimer()
for i := 0; i < b.N; i++ {
Transform(map[int][]string(tt.input))
}
b.StopTimer()
}
}