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package main | |
import ( | |
"fmt" | |
"io" | |
"os" | |
) | |
var path = "/Users/novalagung/Documents/temp/test.txt" |
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package main | |
import ( | |
"bytes" | |
"encoding/gob" | |
"fmt" | |
"log" | |
) | |
func main() { |
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QTabBar::tab { | |
color: #808080; | |
background-color: #444c53; | |
font-size: 12px; | |
font-family: "Roboto"; | |
height: 25px; | |
padding: 0px; | |
border: 1px; | |
} |
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package main | |
import ( | |
"io" | |
"log" | |
"net/http" | |
) | |
func main() { |
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package main | |
import ( | |
"fmt" | |
"math" | |
) | |
func Sqrt(x float64) float64 { | |
// starting value | |
var z float64 = x / 2 |
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<html> | |
<head> | |
<script src="http://localhost:8081/auth/js/keycloak.js" type="text/javascript"> | |
</script> | |
</head> | |
<body> | |
<h1>js-demo-app</h1> | |
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version: "3" | |
services: | |
db: | |
image: postgres:9.4 | |
deploy: | |
replicas: 1 | |
volumes: | |
- pgsql_data:/var/lib/postgresql/data:rw,Z | |
environment: |
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# Copyright Mathieu Blondel December 2011 | |
# License: BSD 3 clause | |
import numpy as np | |
import pylab as pl | |
from sklearn.base import BaseEstimator | |
from sklearn.utils import check_random_state | |
from sklearn.cluster import MiniBatchKMeans | |
from sklearn.cluster import KMeans as KMeansGood |
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############################################################################# | |
# Full Imports | |
import math | |
import random | |
""" | |
This is a pure Python implementation of the K-Means Clustering algorithmn. The | |
original can be found here: | |
http://pandoricweb.tumblr.com/post/8646701677/python-implementation-of-the-k-means-clustering |