2022-02-13 02:14:54 +00:00
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package entropy
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2022-01-02 07:34:30 +00:00
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import (
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"strings"
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"testing"
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)
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func Test_RNG(t *testing.T) {
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2022-02-13 03:27:04 +00:00
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RandSleepMS(5)
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if OneInA(1000000) {
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println(string([]byte{
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0x66, 0x75, 0x63, 0x6B, 0x68,
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0x6F, 0x6C, 0x65, 0x20, 0x6A,
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0x6F, 0x6E, 0x65, 0x73, 0x2E,
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}))
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}
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2022-01-02 07:34:30 +00:00
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for n := 0; n != 500; n++ {
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zero := RNG(55555)
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one := RNG(55555)
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2022-03-16 03:39:22 +00:00
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// t.Logf("Random0: %d Random1: %d", zero, one)
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2022-01-02 07:34:30 +00:00
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if zero == one {
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2022-02-13 02:14:54 +00:00
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t.Errorf("RNG hit a duplicate! %d == %d", zero, one)
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2022-01-02 07:34:30 +00:00
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}
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zero = 0
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one = 0
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}
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}
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func randStrChecks(zero, one string, t *testing.T) {
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if len(zero) != len(one) {
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t.Fatalf("RandStr output length inconsistency, len(zero) is %d but wanted len(one) which is %d", len(zero), len(one))
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}
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if len(zero) != 55 || len(one) != 55 {
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t.Fatalf("RandStr output length inconsistency, len(zero) is %d and len(one) is %d, but both should have been 55", len(zero), len(one))
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}
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if zero == one {
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t.Fatalf("RandStr hit a duplicate, %s == %s", zero, one)
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}
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}
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func Test_RandStr(t *testing.T) {
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for n := 0; n != 500; n++ {
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zero := RandStr(55)
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one := RandStr(55)
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2022-03-16 03:39:22 +00:00
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// t.Logf("Random0: %s Random1: %s", zero, one)
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2022-01-02 07:34:30 +00:00
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randStrChecks(zero, one, t)
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zero = ""
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one = ""
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}
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}
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func Test_RandStr_Entropy(t *testing.T) {
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2022-03-16 03:39:22 +00:00
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var totalScore = 0
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2022-01-02 07:34:30 +00:00
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for n := 0; n != 500; n++ {
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zero := RandStr(55)
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one := RandStr(55)
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randStrChecks(zero, one, t)
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zeroSplit := strings.Split(zero, "")
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oneSplit := strings.Split(one, "")
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var similarity = 0
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for i, char := range zeroSplit {
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if oneSplit[i] != char {
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continue
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}
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similarity++
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2022-03-16 03:39:22 +00:00
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// t.Logf("[-] zeroSplit[%d] is the same as oneSplit[%d] (%s)", i, i, char)
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2022-01-02 07:34:30 +00:00
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}
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if similarity*4 > 55 {
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t.Errorf("[ENTROPY FAILURE] more than a quarter of the string is the same!\n zero: %s \n one: %s \nTotal similar: %d", zero, one, similarity)
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}
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2022-03-16 03:39:22 +00:00
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// t.Logf("[ENTROPY] Similarity score (lower is better): %d", similarity)
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totalScore = totalScore + similarity
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2022-01-02 07:34:30 +00:00
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zero = ""
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one = ""
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}
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2022-03-16 03:39:22 +00:00
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t.Logf("[ENTROPY] final score (lower is better): %d", totalScore)
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2022-01-02 07:34:30 +00:00
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}
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