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package main | |
import ( | |
"crypto/aes" | |
"crypto/cipher" | |
"crypto/rand" | |
"crypto/sha256" | |
"encoding/base64" | |
"errors" | |
"fmt" |
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package main | |
import ( | |
"fmt" | |
"os" | |
"github.com/klauspost/reedsolomon" | |
) | |
// You can use erasure encoding to; |
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package main | |
import ( | |
"fmt" | |
"net/http" | |
"github.com/go-chi/chi" | |
"github.com/gorilla/mux" | |
) |
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# gotten from; https://github.com/jetstack/cert-manager/releases/download/v1.3.3/cert-manager.yamlhttps://github.com/jetstack/cert-manager/releases/download/v1.3.3/cert-manager.yaml | |
apiVersion: apps/v1 | |
kind: Deployment | |
metadata: | |
labels: | |
app: cert-manager | |
app.kubernetes.io/component: controller | |
app.kubernetes.io/instance: cert-manager | |
app.kubernetes.io/name: cert-manager | |
name: cert-manager |
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def sample_anomalous(samples): | |
""" | |
Sampling: | |
- Central limit theorem(Alan Turing) | |
- 3-sigma rule: In a normal distribution, 99.7% of the values are not anomalous. | |
Which means you can throw away 99.7% without losing context. | |
- You may also use 2-sigma(95%) or 1-sigma(68%) | |
see: | |
1. https://youtu.be/inrqE0Grgk0?t=26080 (Emmanuel T Odeke) | |
2. https://en.wikipedia.org/wiki/68%E2%80%9395%E2%80%9399.7_rule |
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package main | |
import "time" | |
type cool struct{} | |
func (c *cool) add() error { | |
return nil | |
} |
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package main | |
import ( | |
"fmt" | |
"math" | |
"testing" | |
) | |
/* ---------- package ---------- */ | |
type h struct { |
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package main | |
import ( | |
"log" | |
"math/rand" | |
"os" | |
"syscall" | |
"testing" | |
"time" |
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package main | |
import "fmt" | |
// Usage: | |
// | |
// func main() { | |
// defer panicHandler() | |
// } | |
// |
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package main | |
import ( | |
"fmt" | |
"runtime" | |
"strconv" | |
"strings" | |
) | |
/* |