metametaclass

multmatrix([[0, 0, 1, 0], [0, 1, 0, 0], [-1, 0, 0, 0], [0, 0, 0, 1]]) {
    multmatrix([[1, 0, 0, 0], [0, 0.5, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]) {
        union() {
            difference() {
                cylinder($fn = 0, $fa = 12, $fs = 2, h = 2, r1 = 20, r2 = 20, center = true);
                cylinder($fn = 0, $fa = 12, $fs = 2, h = 3, r1 = 18, r2 = 18, center = true);
            }
            multmatrix([[1, 0, 0, -1], [0, 1, 0, -20], [0, 0, 1, -1], [0, 0, 0, 1]]) {
                cube(size = [2, 40, 2], center = false);
            }

metametaclass

color([0.25098, 0.25098, 0.25098, 1]) {
    group() {
        multmatrix([[1, 0, 0, -22.5], [0, 1, 0, -70], [0, 0, 1, 0], [0, 0, 0, 1]]) {
            cube(size = [45, 140, 2], center = false);
        }
    }
}
color([0.25098, 0.25098, 0.25098, 1]) {
    group() {
        multmatrix([[1, 0, 0, -22.5], [0, 1, 0, -70], [0, 0, 1, 28], [0, 0, 0, 1]]) {

metametaclass

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

//https://en.wikipedia.org/wiki/Topological_sorting#Depth-first_search


namespace Brainworks.ClassLib {

metametaclass

import * as React from "react"
import { connect, Dispatch } from "react-redux";
import { ModalComponentProps } from "../reducers/datasets"
import { AppState } from "../reducers/state"
import { renderModal } from "./modalRender"
import { registerModalComponent } from "./modalComponents";

export interface ModalErrorWrapperProps<T> extends ModalComponentProps {
  optionalPropsOrError: T | string
  dispatch: Dispatch<AppState>

metametaclass

import * as RssParser from "rss-parser";
//let Parser = require('rss-parser');
let parser = new RssParser();

(async () => {
    interface ParsedEntity {
        title: string;
        link: string;
        pubDate: string;
        author: string;

metametaclass

class ThrustLinearization:
    def __init__(self, thrust_linear):
        self.thrustLinearization = thrust_linear / 100.0
        if self.thrustLinearization != 0.0: 
            self.thrustLinearizationReciprocal = 1.0 / self.thrustLinearization
            self.thrustLinearizationB = (1.0 - self.thrustLinearization) / (2.0 * self.thrustLinearization)
            
    def applyThrustLinearization(self, motorOutput):
        if self.thrustLinearization != 0.0:
            #if motorOutput > 0.0:

metametaclass

number 1.. run rpm filtering, there is no reason not to use rpm filtering, it removes pretty much
all motor noise in the most efficient and lest latency intensive fashion. pretty much any one
telling you that you don't need rpm filters is 100% full of sh@t and either can't get it to work on
their project or is pushing 32k as a marketing angle. while i personally don't support the jazz
maverick project i'd rather see that been used than no rpm. While the dynamic notch is a very fine
bit of work, especially now it’s been slowed down a bit, it can only track ONE noise source. For
motor noise this is ok when your are flying straight and they are all close to the same frequency,
where the dynamic starts to struggle as the only source of motor noise attenuation is when the motor
speeds start to deviate or when you start bending props... RPM on the other hand deals with each
motors circumstances on a motor by motor basis and in real time ( which is not how the FFt operates

metametaclass

with recursive CustomerTypeTree as 

 (
   select 1 ALevel,              
          CstType_ID, CstType_Parent, CstType_Position, CstType_Name,
          Cast(CstType_ID as text) Path,
          Cast((10000+CstType_Position) as text) || '.' || Cast(CstType_ID as text) Path1
      from CustomerTypes
      where CstType_Parent is null
    union all

metametaclass

#include <string.h>
#include <stdio.h>

class simple {
  int x;

  char y;

  public:
     int getX(){

metametaclass

(defn- process-track-rec
  [{:keys [trk_utc car_gar_no] :as rec}]  
  (assoc (select-keys rec [:trk_car_id :trk_wpt_id :wpt_name :car_gar_no, :car_gos_no :msr_value :msr_value_rangeidx]) 
    :dt (convert-sql-utc-to-local trk_utc) 
    :gar_no (str car_gar_no)))


(defn- process-scales-rec
  [{:keys [vannum datetime rfid] :as rec}]  
  (let [digits (re-find #"\d+" (or vannum (str "rfid:" rfid) "unknown"))