Alexander Mills ORESoftware

Code looks fine to me. There might be a hidden race condition. The p.Count++ and p.Count-- are atomic ops. For every ++ it's corresponding -- should be called TBD.

package pool

import (

we can use this domain middleware

const Domain = require('domain');

app.use((req,res,next) => {

This is some bad code, but illustrates the difficulty, futility, and pointlessness of implementing map/filter with Iterables.

Note that these are lazy (not eager). Nothing runs until the for..of is called on an instance, etc.

class IterableWMapFilter<T> {

  vals : T[]= [];

this code does what you'd expect and useful for avoiding unnecessary arrays (although a standard for-loop is usually fine...)

export class IterableInt {

  point = 0;
  start: number = 0;
  end: number = 0;

alex % test-sorted-numbers.js

0.003323905232836868516479445007663787423935061838055536238211856706
0.000003216665525946364975501189134992011094173428027265407092765945105
5.534929650272012720523268501945480556023094872405241335283017818e-8
9.145908272177229543705210160445544872490908442048180454092217671e-10
1.075675955494191912803286754291997208373252535492843752459149305e-11

This is an algorithm (function) that accepts two numeric JS/TS arrays and returns a boolean value representing whether the two arrays are linearly independent. This would be for a linear library or linear optimization - in my case - checking constraints for redundancy or contradictions.

Assumptions:

1. Same size arrays
2. If size is less than 2, undefined results
3. None of the arrays are the zero-vector [0,0,0,0,0,...,0]
4. For any given pair, if the numerator or denominator is zero and the other non-zero,

/*
Assignment #1. Matrix Generation and Solving Simultaneous Equations; Due Tuesday, September 13

Part 1.  Write a random matrix generator for an n  m matrix A = (aij) that has a prespecified density.
    Input should include n, m, a general lower bound (L) for each element, an upper bound (U) for each
    element (that is, L  aij  U), and density factor  where 0 <   1.  Note that if  = 0.4, this means that
there is a 0.4 probability that any element aij will not be zero or that on average, 4 out of 10 elements will

	import gleam_cowboy
	import gleam/http.{Request, Response}
	import gleam/http/response.{ok}

	pub fn main() {
	gleam_cowboy.start(fn(_req: Request) {
	ok("Hello, Gleam!")
	}, on_port: 3000)
	}



	const getBBBMeetingInfo = async (meetingID) => {

	const getMeetingInfo = api.monitoring.getMeetingInfo(meetingID);
	const result = await bbb.http(getMeetingInfo);
	result.meetingID = meetingID;
	if(result.returncode == 'FAILED'){
	updateNotificationCallStatus(meetingID)
	}


	const http = require('http');

	const server = http.createServer((request, response) => {

	response.end(`

	<html> hello world this is julian, here is an image: <br>
	<img src="https://static.wikia.nocookie.net/history/images/6/6a/Classical_greece..jpg"></img>
	</html>