dansku

import test

print("OLA GATINHO")

dansku

#!/bin/bash

# Variables
ETL_DIR=/root/blockchain-etl
ETL_USER=etl
ETL_DB=etl
ETL_PASS=etl
EXPORT_CORES=32
PSQL_HOST=localhost
EXPORT_DIR=/root/export

dansku

################################################################################################
#
#	Script to organize pictures uploaded from Mobile Devices to Dropbox's Camera Upload folder
#
#	Daniel Spillere Andrade - www.danielandrade.net
#
################################################################################################

import os, time
import glob

dansku

while true; do

miner01=$(docker exec miner001 miner info height | awk '{print $2}')
miner02=$(docker exec miner002 miner info height | awk '{print $2}')
miner03=$(docker exec miner003 miner info height | awk '{print $2}')

folder01=$(du -hs minerdata001 | awk '{print $1}')
folder02=$(du -hs minerdata002 | awk '{print $1}')
folder03=$(du -hs minerdata003 | awk '{print $1}')

dansku

/*
	Daniel Andrade - www.danielandrade.net
 	non blocking classes for NewPing sonars
*/

#include <NewPing.h>

class Sonar : public NewPing
{
	// Class Member Variables

dansku

import math

def distance(lat1, long1, lat2, long2):
  R = 6371 # Earth Radius in Km
	dLat = math.radians(lat2 - lat1) # Convert Degrees 2 Radians
	dLong = math.radians(long2 - long1)
	lat1 = math.radians(lat1)
	lat2 = math.radians(lat2)
	a = math.sin(dLat/2) * math.sin(dLat/2) + math.sin(dLong/2) * math.sin(dLong/2) * math.cos(lat1) * math.cos(lat2)
	c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))

dansku

Downloaded

1. Captain America: The First Avenger (2011)
2. Captain Marvel (2019)
3. Iron Man (2008)
4. Iron Man 2 (2010)
5. The Incredible Hulk (2008)
6. Thor (2011)
7. The Avengers (2012)
8. Thor: The Dark World (2013)

dansku

[profile]
layer_height = 0.15
wall_thickness = 1.2
retraction_enable = True
solid_layer_thickness = 1.2
fill_density = 15
print_speed = 50
print_temperature = 200
print_temperature2 = 0
print_temperature3 = 0

dansku

Calculate database size:

SELECT table_schema "db_name",
        ROUND(SUM(data_length + index_length) / 1024 / 1024, 1) "DB Size in MB" 
FROM information_schema.tables 
GROUP BY table_schema; 

Count total rows in database:

dansku

// Future versions of Hyper may add additional config options,
// which will not automatically be merged into this file.
// See https://hyper.is#cfg for all currently supported options.

module.exports = {
  config: {
    // Choose either "stable" for receiving highly polished,
    // or "canary" for less polished but more frequent updates
    updateChannel: 'stable',