Jesse Yang ktmud

First, in Vagrantfile, expose enough ports for lldb and automatically spawn gdbserver processes:

  for i in 44000..44100
    config.vm.network :forwarded_port, guest: i, host: i
  end

Don't forget to vagrant reload.

	var dispatch = d3.dispatch("dataLoaded", "stationHovered", "nodesUpdated");

	d3.json("stations.json", function(error, stations)
	{
	var data = {};
	data.nodes = stations.nodes;
	data.links = stations.links;

	for(var i = 0; i < data.nodes.length; i++)
	{

	import numpy as np

	np.set_printoptions(precision=4)
	np.random.seed(19894)

	def gen_data(N=50):
	X1 = np.random.uniform(0, 3, N)
	X2 = np.random.uniform(0, 3, N)
	pi = 1/(1+np.exp(-(-3+X1+X2)))
	# a randomly selected variable between 0-1 is has the probability pi

	means = np.array([np.mean(X[y == k], axis=0) for k in labels]).T
	pies, cov = np.array([np.mean(y == k) for k in labels]), np.cov(X.T)
	cov_inv = np.linalg.inv(cov)
	np.argmax(X @ cov_inv @ means - np.diag(0.5 * means.T @ cov_inv @ means) +
	np.log(pies), axis=1)

	%matplotlib inline
	%config InlineBackend.figure_format = 'retina'

	import numpy as np
	import pandas as pd
	import matplotlib.pyplot as plt
	import seaborn as sns

	sns.set(style="ticks", color_codes=True)

	def sizeof_fmt(num, suffix='o'):
	"""Readable file size

	:param num: Bytes value
	:type num: int
	:param suffix: Unit suffix (optionnal) default = o
	:type suffix: str
	:rtype: str
	"""
	for unit in ['', 'k', 'M', 'G', 'T', 'P', 'E', 'Z']:

	##
	# Map businesses to census tracts
	#
	library(tidyverse)
	library(sp)
	library(spdplyr)
	library(rgdal)

	if (!exists('businesses')) {
	# all businesses

	library(zipcode)
	library(magrittr)
	library(dplyr)
	library(stringr)
	library(acs)

	# load all zipcodes
	data(zipcode)

	# as copied from the BARI's ACS indicators R syntax