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# Hamming
Write a program that can calculate the Hamming difference between two DNA strands.
A mutation is simply a mistake that occurs during the creation or
copying of a nucleic acid, in particular DNA. Because nucleic acids are
vital to cellular functions, mutations tend to cause a ripple effect
throughout the cell. Although mutations are technically mistakes, a very
rare mutation may equip the cell with a beneficial attribute. In fact,
the macro effects of evolution are attributable by the accumulated
result of beneficial microscopic mutations over many generations.
The simplest and most common type of nucleic acid mutation is a point
mutation, which replaces one base with another at a single nucleotide.
By counting the number of differences between two homologous DNA strands
taken from different genomes with a common ancestor, we get a measure of
the minimum number of point mutations that could have occurred on the
evolutionary path between the two strands.
This is called the 'Hamming distance'.
It is found by comparing two DNA strands and counting how many of the
nucleotides are different from their equivalent in the other string.
GAGCCTACTAACGGGAT
CATCGTAATGACGGCCT
^ ^ ^ ^ ^ ^^
The Hamming distance between these two DNA strands is 7.
# Implementation notes
The Hamming distance is only defined for sequences of equal length. This means
that based on the definition, each language could deal with getting sequences
of equal length differently.
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 Calculating Point Mutations problem at Rosalind [view source](http://rosalind.info/problems/hamm/)

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package hamming
// Source: exercism/x-common
// Commit: c84e435 Merge pull request #51 from soniakeys/master
var testCases = []struct {
s1 string
s2 string
want int
}{
{ // identical strands
"A",
"A",
0,
},
{ // long identical strands
"GGACTGA",
"GGACTGA",
0,
},
{ // complete distance in single nucleotide strands
"A",
"G",
1,
},
{ // complete distance in small strands
"AG",
"CT",
2,
},
{ // small distance in small strands
"AT",
"CT",
1,
},
{ // small distance
"GGACG",
"GGTCG",
1,
},
{ // small distance in long strands
"ACCAGGG",
"ACTATGG",
2,
},
{ // non-unique character in first strand
"AGA",
"AGG",
1,
},
{ // non-unique character in second strand
"AGG",
"AGA",
1,
},
{ // large distance
"GATACA",
"GCATAA",
4,
},
{ // large distance in off-by-one strand
"GGACGGATTCTG",
"AGGACGGATTCT",
9,
},
{ // empty strands
"",
"",
0,
},
{ // disallow first strand longer
"AATG",
"AAA",
-1,
},
{ // disallow second strand longer
"ATA",
"AGTG",
-1,
},
}

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package hamming
import "errors"
// TestVersion is an exercism thing
const TestVersion = 2
// Distance measures the hamming distance between two sequences
// and returns the number if different bytes and an error value
func Distance(seq1, seq2 string) (int, error) {
if len(seq1) != len(seq2) {
return -1, errors.New("Strands must be equal length")
}
var ret int
for i := 0; i < len(seq1); i++ {
if seq1[i] != seq2[i] {
ret++
}
}
return ret, nil
}

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package hamming
import "testing"
const testVersion = 2
// Retired testVersions
// (none) df178dc24b57f7d4ccf54d47430192749d56898f
// 1 4f6fe21682f7f2a7845683cb26ff557208153ffe
func TestHamming(t *testing.T) {
if TestVersion != testVersion {
t.Errorf("Found TestVersion = %v, want %v.", TestVersion, testVersion)
}
for _, tc := range testCases {
switch got, err := Distance(tc.s1, tc.s2); {
case err != nil:
if tc.want >= 0 {
t.Fatalf("Distance(%q, %q) returned error: %v",
tc.s1, tc.s2, err)
}
case tc.want < 0:
t.Fatalf("Distance(%q, %q) = %d. Expected error.",
tc.s1, tc.s2, got)
case got != tc.want:
t.Fatalf("Distance(%q, %q) = %d, want %d.",
tc.s1, tc.s2, got, tc.want)
}
}
}
func BenchmarkHamming(b *testing.B) {
// bench combined time to run through all test cases
for i := 0; i < b.N; i++ {
for _, tc := range testCases {
Distance(tc.s1, tc.s2)
}
}
}