geraldstanje

// make sure the receiver emails are verified:
// https://console.aws.amazon.com/ses/home?region=us-east-1#verified-senders-email:

import javax.activation.DataHandler
import javax.activation.DataSource
import javax.activation.FileDataSource
import javax.mail.Session
import javax.mail.Message
import javax.mail.MessagingException
import javax.mail.internet.AddressException

geraldstanje

import javax.activation.DataHandler
import javax.activation.DataSource
import javax.activation.FileDataSource
import javax.mail.Message
import javax.mail.MessagingException
import javax.mail.internet.AddressException
import javax.mail.internet.InternetAddress
import javax.mail.internet.MimeBodyPart
import javax.mail.internet.MimeMessage
import javax.mail.internet.MimeMultipart

geraldstanje

package main

import (
	"fmt"
	"sort"
)

func tokensByAscending(t []int) func(i, j int) bool {
	return func(i, j int) bool {
		return t[i] < t[j]

geraldstanje

package main

import (
	"time"
	"fmt"
	"math/rand"
)

func Decision(probability float64) bool {
	// randFloat64() returns a float64, `0.0 <= f < 1.0`

geraldstanje

cut -f1,4 -d',' freq_1483051128.csv | sort | awk -F',' '{a[$1]+=$2}END{for (i in a){print i,a[i]}}'

geraldstanje

import threading
import Queue
import time

QUEUE_TIMEOUT_s = 0.1
WORKER_COUNT = 200 # play with this! If switching to multiprocessing, use ncores+1 (or 2)
NUM_TASKS = 1000
SLOW_ADD_TIME_s = 0.1

done_event = threading.Event()

geraldstanje

package main

import (
	"database/sql"
	"gopkg.in/gorp.v1"
	"log"
	"strconv"

	"github.com/gin-gonic/gin"
	_ "github.com/go-sql-driver/mysql"

geraldstanje

geraldstanje

library(wavelets)

load_data <- function(filename, row) {
  data = read.csv(filename, header=FALSE, sep=",")
  return(data[[row]])
}

wavelet_transform <- function(data) {
  Wavelet_out = matrix(0, 1, 8)
  

geraldstanje

import pywt
import csv
import pandas as pd
import numpy as np

def read_csv(filename):
  columns = defaultdict(list) # each value in each column is appended to a list

  with open(filename) as f:
    reader = csv.DictReader(f) # read rows into a dictionary format