Roban Hultman Kramer roban

I hereby claim:

I am roban on github.
I am robanhk (https://keybase.io/robanhk) on keybase.
I have a public key whose fingerprint is 22BD E895 8940 7BBC EEA1 CD3B FE6E A1BB 6A0E 3E55

To claim this, I am signing this object:

"Steering AI for the Public Good: A Dialogue for the Future"

2023-06-06 at IAS

	import pylab
	import numpy
	import pymc
	import matplotlib.patches
	from mpl_toolkits.axes_grid1 import make_axes_locatable
	import scipy.stats

	def frac_inside_poly(x,y,polyxy):
	"""Calculate the fraction of points x,y inside polygon polyxy.

	"""Routines related to plotting 2D distributions of parameters.

	The core of this module is plot2Ddist, which plots a two-dimensional
	distribution with 1D marginal histograms along each axis and optional
	features like contours and lines indicating ranges and true values.

	"""

	import itertools
	import math

	# first create a list of frames, perhaps by running:
	# ls -tr *.JPG > frames.txt

	# Now run mencoder to make the move. I adapted the configuration from
	# http://blog.hugochinchilla.net/2011/09/time-lapse-videos-mencoder/

	# playback at 15 frames per second
	mencoder -nosound -ovc lavc -lavcopts vcodec=mpeg4:mbd=2:trell:autoaspect:vqscale=3 -vf scale=1920:1440 -mf type=jpeg:fps=15 mf://@frames.txt -o time_lapse.avi

	# playback at 30 frames per second

	# paste this into an "ipython --pylab" session
	# You'll need EnrichPy: http://roban.github.com/EnrichPy/
	import enrichpy.lifetime
	mass = logspace(-1,4,300)
	tlife = enrichpy.lifetime.main_sequence_life_K97(mass)
	plot(mass, tlife)
	xscale('log')
	yscale('log')
	xlabel('mass (solar masses)')
	ylabel('stellar lifetime (years)')

	# `convert` is part of Image Magick http://www.imagemagick.org
	# The command below scales the images to 500 pixels (in some dimension),
	# imposes a delay of 60/100ths of a second between frames, and loops indefinitely.
	# The "-layers optimize" option reduces the final file size by optimizing the GIF frames, with a difference threshold
	# controlled by the "-fuzz" parameter.
	convert -fuzz 2% -layers optimize -scale 500 -delay 60 -loop 0 -verbose IMG_*.JPG animation.gif

	def copy_traces(db1, dbname, dbclass, traceclass, **kwargs):
	"""Copy traces from a db to a new db.
	"""
	db = dbclass(dbname=dbname, dbmode='w', **kwargs)
	db._initialize({}, 1)
	db.trace_names = db1.trace_names
	db.chains = 1
	# Create the Traces.
	for name, trace in db1._traces.iteritems():
	db._traces[name] = traceclass(name=name, value={0:trace[:]}, db=db)

	<html>
	<head>
	<title>Swimlane using d3.js</title>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.v2.js"></script>
	<script type="text/javascript" src="randomData.js"></script>
	<style>
	.chart {
	shape-rendering: crispEdges;
	}