Skip to content

Instantly share code, notes, and snippets.

@timotta
timotta / circle-rays.py
Created November 22, 2017 20:14
Circles and rays for jewelery measure
from PIL import Image, ImageDraw
import math
increment = 10
margin = 0
size = 640*2
angle_increment = 5
image = Image.new('RGBA', (size, size))
draw = ImageDraw.Draw(image)
import java.util.ArrayList
import java.util.HashMap
import scala.collection.JavaConverters.asScalaBufferConverter
import scala.collection.mutable.{Map => MapMutable}
object MapBenchmark {
def main(args: Array[String]): Unit = {
val hm = new HashMap[String, String]()
hm.put("teste1", "ok1")
import java.util.ArrayList
import java.util.HashMap
import scala.collection.JavaConverters.asScalaBufferConverter
import scala.collection.mutable.{Map => MapMutable}
object MapBenchmark {
def main(args: Array[String]): Unit = {
val hm = new HashMap[String, String]()
hm.put("teste1", "ok1")
@timotta
timotta / MapBenchmark.scala
Last active March 20, 2018 23:57
Scala mutable map is in average 63% worst than java HashMap, and 42% worst in median
import java.util.ArrayList
import java.util.HashMap
import scala.collection.JavaConverters.asScalaBufferConverter
import scala.collection.mutable.{Map => MapMutable}
object MapBenchmark {
def main(args: Array[String]): Unit = {
val hm = new HashMap[String, String]()
hm.put("teste1", "ok1")
@timotta
timotta / HBaseRegions.scala
Last active May 7, 2018 22:17
HBaseRegions with the method `online` that returns only the regions that are returning ok
import org.apache.hadoop.hbase.HRegionInfo
import org.apache.hadoop.hbase.HBaseConfiguration
import org.apache.hadoop.hbase.HConstants
import org.apache.hadoop.hbase.client.ConnectionFactory
import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.hbase.filter.PrefixFilter
import org.apache.hadoop.hbase.TableName
import org.apache.hadoop.hbase.client.Scan
import scala.util.Try
import scala.collection.JavaConverters._
from sklearn.linear_model import LogisticRegression
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.gaussian_process import GaussianProcessClassifie
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.ensemble import AdaBoostClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
cat /dev/urandom | tr -dc 'a-zA-Z' | fold -w 10 | head -n 1
JOBID=`cat /dev/urandom | tr -dc 'a-zA-Z' | fold -w 10 | head -n 1`
gcloud ml-engine jobs submit training $JOBID \
--module-name=$MODULE \
--region=us-central1 \
--package-path=$PACKAGE \
--job-dir=$BUCKET \
--project=$PROJECT \
--scale-tier=basic_gpu
@timotta
timotta / erase.sh
Created February 14, 2019 19:18
Erase HD
dd if=/dev/urandom of=/dev/sdX bs=1M
*~
.settings
.project
.factorypath
.cache
.classpath
.tmpBin
*.pyc
.cache-main
.pydevproject