KMurphs

#!/usr/bin/env bash

# SOURCE VARIABLES
export token=xxxxx#admin token
export grafanaurl=http://xxx.xxx.xxx.xxx:3000/api


rm -rf backups
mkdir -p backups
cd backups

KMurphs

{
  "meta": {
    "type": "db",
    "canSave": true,
    "canEdit": true,
    "canAdmin": true,
    "canStar": true,
    "canDelete": true,
    "slug": "labview-from-csv",
    "url": "/d/qxQ3Wb67k/labview-from-csv",

KMurphs

/*
  Reading a serial ASCII-encoded string.

  This sketch demonstrates the Serial parseInt() function.
  It looks for an ASCII string of comma-separated values.
  It parses them into ints, and uses those to fade an RGB LED.

  Circuit: Common-Cathode RGB LED wired like so:
  - red anode: digital pin 3 through 220 ohm resistor

KMurphs

/*
  Blink

  Turns an LED on for one second, then off for one second, repeatedly.

  Most Arduinos have an on-board LED you can control. On the UNO, MEGA and ZERO
  it is attached to digital pin 13, on MKR1000 on pin 6. LED_BUILTIN is set to
  the correct LED pin independent of which board is used.
  If you want to know what pin the on-board LED is connected to on your Arduino

KMurphs

def add_fans(ranked_machines, total_initial_consumption, total_current_consumption, n_fans):

    # Resolve the recursion, because we have reached the target: "just below half of initial consumption"
    if total_current_consumption <= total_initial_consumption / 2:
        return n_fans


    # Compute the site that have the largest amount of consumption and the 
    # total amount of consumption for the company
    worse_machine = ranked_machines[0] # "Extracting" from the heap

KMurphs

def heapify(heap_arr, heap_size, parent_index):
    # heap_size is just the size of your array (heap_arr).

    # We are sorting out a family of three, we want the max element to sit at the parent index
    max_family_idx = parent_index
    # Compute this parent's children index
    left_child_idx = 2 * parent_index + 1 
    right_child_idx = 2 * parent_index + 2
    
    # Find the maximum element in our "3-members" family. 

KMurphs

def add_fans(machine_consumptions, total_initial_consumption, n_fans):

    # Find the machine that has the largest amount of consumption and the 
    # current total amount of consumption for the company
    max_index, max_value, current_total_consumption = 0, machine_consumptions[0], 0
    for machine_index in range(len(machine_consumptions)):
        # Compute factory consumption
        current_total_consumption = current_total_consumption + machine_consumptions[machine_index]
        # Find worse machine with largest consumption so far
        if max_value < machine_consumptions[machine_index]:

KMurphs

function SimpleWebSocket(address) {
    
    if(!("WebSocket" in window)) {
        console.log("WebSocket NOT supported by your Browser!");
        return null
    }

    // Let us open a web socket
    var ws = new WebSocket(address);
        

KMurphs

Originally inspired by https://gist.github.com/cho45/9968462#gistcomment-3522694

import math
SI_PREFIXES_CENTER_INDEX = 8
si_prefixes = ('y', 'z', 'a', 'f', 'p', 'n', 'μ', 'm', '', 'k', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y')


def to_si_notation(value: float, precision: int = 1):
    """Transforms a float number to a string (in SI Notation) using SI prefixes.

KMurphs

Array.from(document.querySelector("#history-app").shadowRoot.querySelector("#history").shadowRoot.querySelectorAll("history-item")).filter((u,i) => i < 17).map(u => u.shadowRoot.querySelector("a").href)