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	diff --git a/bin/make-plots-fast b/bin/make-plots-fast
	--- a/bin/make-plots-fast
	+++ b/bin/make-plots-fast
	@@ -1,2843 +1,2839 @@
	#! /usr/bin/env python

	"""\
	Usage: %prog [options] file.dat [file2.dat ...]

	TODO
	* Optimise output for e.g. lots of same-height bins in a row
	* Add a RatioFullRange directive to show the full range of error bars + MC envelope in the ratio
	* Tidy LaTeX-writing code -- faster to compile one doc only, then split it?
	* Handle boolean values flexibly (yes, no, true, false, etc. as well as 1, 0)
	"""

	##
	## This program is copyright by Hendrik Hoeth <hoeth@linta.de> and
	## the Rivet team https://rivet.hepforge.org. It may be used
	## for scientific and private purposes. Patches are welcome, but please don't
	## redistribute changed versions yourself.
	##

	## Check the Python version
	import sys
	if sys.version_info[:3] < (2,6,0):
	print "make-plots requires Python version >= 2.6.0... exiting"
	sys.exit(1)

	## Try to rename the process on Linux
	try:
	import ctypes
	libc = ctypes.cdll.LoadLibrary('libc.so.6')
	libc.prctl(15, 'make-plots', 0, 0, 0)
	except Exception, e:
	pass


	import os, logging, re
	import tempfile
	import getopt
	import string
	from math import *


	## Regex patterns
	pat_begin_block = re.compile(r'^#+\s*BEGIN ([A-Z0-9_]+) ?(\S+)?')
	pat_end_block = re.compile('^#+\s*END ([A-Z0-9_]+)')
	pat_comment = re.compile('^#\|^\s*$')
	pat_property = re.compile('^(\w+?)=(.*)$')
	pat_path_property = re.compile('^(\S+?)::(\w+?)=(.*)$')


	def fuzzyeq(a, b, tolerance=1e-6):
	"Fuzzy equality comparison function for floats, with given fractional tolerance"
	# if type(a) is not float or type(a) is not float:
	# print a, b
	if (a == 0 and abs(b) < 1e-12) or (b == 0 and abs(a) < 1e-12):
	return True
	return 2.0*abs(a-b)/abs(a+b) < tolerance

	def inrange(x, a, b):
	return x >= a and x < b

	def floatify(x):
	if type(x) is str:
	x = x.split()
	if not hasattr(x, "__len__"):
	x = [x]
	x = [float(a) for a in x]
	return x[0] if len(x) == 1 else x

	def floatpair(x):
	if type(x) is str:
	x = x.split()
	if hasattr(x, "__len__"):
	assert len(x) == 2
	return [float(a) for a in x]
	return [float(x), float(x)]


	def is_end_marker(line, blockname):
	m = pat_end_block.match(line)
	return m and m.group(1) == blockname

	def is_comment(line):
	return pat_comment.match(line) is not None



	class Described(object):
	"Inherited functionality for objects holding a 'description' dictionary"

	def __init__(self):
	pass

	def has_attr(self, key):
	return self.description.has_key(key)

	def set_attr(self, key, val):
	self.description[key] = val

	def attr(self, key, default=None):
	return self.description.get(key, default)

	def attr_bool(self, key, default=None):
	x = self.attr(key, default)
	if x is None: return None
	if str(x).lower() in ["1", "true", "yes", "on"]: return True
	if str(x).lower() in ["0", "false", "no", "off"]: return False
	return None

	def attr_int(self, key, default=None):
	x = self.attr(key, default)
	try:
	x = int(x)
	except:
	x = None
	return x

	def attr_float(self, key, default=None):
	x = self.attr(key, default)
	try:
	x = float(x)
	except:
	x = None
	return x



	class InputData(Described):

	def __init__(self, filename):
	self.filename = filename
	if not self.filename.endswith(".dat"):
	self.filename += ".dat"
	self.histos = {}
	self.special = {}
	self.functions = {}

	self.description = {}
	self.pathdescriptions = []

	self.is2dim = False
	f = open(self.filename)
	for line in f:
	m = pat_begin_block.match(line)
	if m:
	name, path = m.group(1,2)
	if path is None and name != 'PLOT':
	raise Exception('BEGIN sections need a path name.')

	## Pass the reading of the block to separate functions
	if name == 'PLOT':
	self.read_input(f);
	elif name == 'SPECIAL':
	self.special[path] = Special(f)
	elif name == 'HISTOGRAM' or name == 'HISTOGRAM2D':
	self.histos[path] = Histogram(f, p=path)
	# self.histos[path].path = path
	self.description['is2dim'] = self.histos[path].is2dim
	elif name == 'HISTO1D':
	self.histos[path] = Histo1D(f, p=path)
	elif name == 'HISTO2D':
	self.histos[path] = Histo2D(f, p=path)
	self.description['is2dim'] = True
	elif name == 'COUNTER':
	self.histos[path] = Counter(f, p=path)
	elif name == 'VALUE':
	self.histos[path] = Value(f, p=path)
	elif name == 'FUNCTION':
	self.functions[path] = Function(f)
	# elif is_comment(line):
	# continue
	# else:
	# self.read_path_based_input(line)
	f.close()

	self.apply_config_files(opts.CONFIGFILES)

	## Plot (and subplot) sizing
	# TODO: Use attr functions and bools properly
	self.description.setdefault('PlotSizeX', 10.)
	if self.description['is2dim']:
	self.description['PlotSizeX'] -= 1.7
	self.description['MainPlot'] = '1'
	self.description['RatioPlot'] = '0'

	if self.description.has_key('PlotSize') and self.description['PlotSize']!='':
	plotsizes = self.description['PlotSize'].split(',')
	self.description['PlotSizeX'] = float(plotsizes[0])
	self.description['PlotSizeY'] = float(plotsizes[1])
	if len(plotsizes) == 3:
	self.description['RatioPlotSizeY'] = float(plotsizes[2])
	del self.description['PlotSize']

	if self.description.get('MainPlot', '1') == '0':
	## Ratio, no main
	self.description['RatioPlot'] = '1' #< don't allow both to be zero!
	self.description['PlotSizeY'] = 0.
	self.description.setdefault('RatioPlotSizeY', 9.)
	else:
	if self.description.get('RatioPlot', '0') == '1':
	## Main and ratio
	self.description.setdefault('PlotSizeY', 6.)
	self.description.setdefault('RatioPlotSizeY', self.description.get('RatioPlotYSize', 3.))
	else:
	## Main, no ratio
	self.description.setdefault('PlotSizeY', self.description.get('PlotYSize', 9.))
	self.description['RatioPlotSizeY'] = 0.

	## Ensure numbers, not strings
	self.description['PlotSizeX'] = float(self.description['PlotSizeX'])
	self.description['PlotSizeY'] = float(self.description['PlotSizeY'])
	self.description['RatioPlotSizeY'] = float(self.description['RatioPlotSizeY'])
	# self.description['TopMargin'] = float(self.description['TopMargin'])
	# self.description['BottomMargin'] = float(self.description['BottomMargin'])

	self.description['LogX'] = str(self.description.get('LogX', 0)) in ["1", "yes", "true"]
	self.description['LogY'] = str(self.description.get('LogY', 0)) in ["1", "yes", "true"]
	self.description['LogZ'] = str(self.description.get('LogZ', 0)) in ["1", "yes", "true"]
	if self.description.has_key('Rebin'):
	for i in self.histos:
	self.histos[i].description['Rebin'] = self.description['Rebin']

	histoordermap = {}
	histolist = self.histos.keys()
	if self.description.has_key('DrawOnly'):
	histolist = filter(self.histos.keys().count, self.description['DrawOnly'].strip().split())
	for histo in histolist:
	order = 0
	if self.histos[histo].description.has_key('PlotOrder'):
	order = int(self.histos[histo].description['PlotOrder'])
	if not order in histoordermap:
	histoordermap[order] = []
	histoordermap[order].append(histo)
	sortedhistolist = []
	for i in sorted(histoordermap.keys()):
	sortedhistolist.extend(histoordermap[i])
	self.description['DrawOnly'] = sortedhistolist


	## Inherit various values from histograms if not explicitly set
	for k in ['LogX', 'LogY', 'LogZ',
	'XLabel', 'YLabel', 'ZLabel',
	'XCustomMajorTicks', 'YCustomMajorTicks', 'ZCustomMajorTicks']:
	self.inherit_from_histos(k)

	return


	@property
	def is2dim(self):
	return self.attr_bool("is2dim", False)
	@is2dim.setter
	def is2dim(self, val):
	self.set_attr("is2dim", val)


	@property
	def drawonly(self):
	x = self.attr("DrawOnly")
	if type(x) is str:
	self.drawonly = x #< use setter to listify
	return x if x else []
	@drawonly.setter
	def drawonly(self, val):
	if type(val) is str:
	val = val.strip().split()
	self.set_attr("DrawOnly", val)


	@property
	def stacklist(self):
	x = self.attr("Stack")
	if type(x) is str:
	self.stacklist = x #< use setter to listify
	return x if x else []
	@stacklist.setter
	def stacklist(self, val):
	if type(val) is str:
	val = val.strip().split()
	self.set_attr("Stack", val)


	@property
	def plotorder(self):
	x = self.attr("PlotOrder")
	if type(x) is str:
	self.plotorder = x #< use setter to listify
	return x if x else []
	@plotorder.setter
	def plotorder(self, val):
	if type(val) is str:
	val = val.strip().split()
	self.set_attr("PlotOrder", val)


	@property
	def plotsizex(self):
	return self.attr_float("PlotSizeX")
	@plotsizex.setter
	def plotsizex(self, val):
	self.set_attr("PlotSizeX", val)

	@property
	def plotsizey(self):
	return self.attr_float("PlotSizeY")
	@plotsizey.setter
	def plotsizey(self, val):
	self.set_attr("PlotSizeY", val)

	@property
	def plotsize(self):
	return [self.plotsizex, self.plotsizey]
	@plotsize.setter
	def plotsize(self, val):
	if type(val) is str:
	val = [float(x) for x in val.split(",")]
	assert len(val) == 2
	self.plotsizex = val[0]
	self.plotsizey = val[1]

	@property
	def ratiosizey(self):
	return self.attr_float("RatioPlotSizeY")
	@ratiosizey.setter
	def ratiosizey(self, val):
	self.set_attr("RatioPlotSizeY", val)


	@property
	def scale(self):
	return self.attr_float("Scale")
	@scale.setter
	def scale(self, val):
	self.set_attr("Scale", val)


	@property
	def xmin(self):
	return self.attr_float("XMin")
	@xmin.setter
	def xmin(self, val):
	self.set_attr("XMin", val)

	@property
	def xmax(self):
	return self.attr_float("XMax")
	@xmax.setter
	def xmax(self, val):
	self.set_attr("XMax", val)

	@property
	def xrange(self):
	return [self.xmin, self.xmax]
	@xrange.setter
	def xrange(self, val):
	if type(val) is str:
	val = [float(x) for x in val.split(",")]
	assert len(val) == 2
	self.xmin = val[0]
	self.xmax = val[1]


	@property
	def ymin(self):
	return self.attr_float("YMin")
	@ymin.setter
	def ymin(self, val):
	self.set_attr("YMin", val)

	@property
	def ymax(self):
	return self.attr_float("YMax")
	@ymax.setter
	def ymax(self, val):
	self.set_attr("YMax", val)

	@property
	def yrange(self):
	return [self.ymin, self.ymax]
	@yrange.setter
	def yrange(self, val):
	if type(val) is str:
	val = [float(y) for y in val.split(",")]
	assert len(val) == 2
	self.ymin = val[0]
	self.ymax = val[1]


	# TODO: add more rw properties for plotsize(x,y), ratiosize(y),
	# show_mainplot, show_ratioplot, show_legend, log(x,y,z), rebin,
	# drawonly, legendonly, plotorder, stack,
	# label(x,y,z), majorticks(x,y,z), minorticks(x,y,z),
	# min(x,y,z), max(x,y,z), range(x,y,z)


	def inherit_from_histos(self, k):
	"""Note: this will inherit the key from a random histogram:
	only use if you're sure all histograms have this key!"""
	if not self.description.has_key(k):
	h = list(self.histos.itervalues())[0]
	if h.description.has_key(k):
	self.description[k] = h.description[k]


	def read_input(self, f):
	for line in f:
	if is_end_marker(line, 'PLOT'):
	break
	elif is_comment(line):
	continue
	m = pat_property.match(line)
	if m:
	prop, value = m.group(1,2)
	if prop in self.description:
	logging.debug("Overwriting property %s = %s -> %s" % (prop, self.description[prop], value))
	## Use strip here to deal with DOS newlines containing \r
	self.description[prop.strip()] = value.strip()


	def apply_config_files(self, conffiles):
	if conffiles is not None:
	for filename in conffiles:
	cf = open(filename,'r')
	lines = cf.readlines()
	for i in range(0, len(lines)):
	## First evaluate PLOT sections
	m = pat_begin_block.match(lines[i])
	if m and m.group(1) == 'PLOT' and re.match(m.group(2),self.filename):
	while i<len(lines)-1:
	i = i+1
	if is_end_marker(lines[i], 'PLOT'):
	break
	elif is_comment(lines[i]):
	continue
	m = pat_property.match(lines[i])
	if m:
	prop, value = m.group(1,2)
	if prop in self.description:
	logging.debug("Overwriting from conffile property %s = %s -> %s" % (prop, self.description[prop], value))
	## Use strip here to deal with DOS newlines containing \r
	self.description[prop.strip()] = value.strip()
	elif is_comment(lines[i]):
	continue
	else:
	## Then evaluate path-based settings, e.g. for HISTOGRAMs
	m = pat_path_property.match(lines[i])
	if m:
	regex, prop, value = m.group(1,2,3)
	for obj_dict in [self.special, self.histos, self.functions]:
	for path, obj in obj_dict.iteritems():
	if re.match(regex, path):
	## Use strip here to deal with DOS newlines containing \r
	obj.description.update({prop.strip() : value.strip()})
	cf.close()



	class Plot(object):

	def __init__(self, inputdata):
	pass

	def set_normalization(self,inputdata):
	for method in ['NormalizeToIntegral', 'NormalizeToSum']:
	if inputdata.description.has_key(method):
	for i in inputdata.drawonly:
	if not inputdata.histos[i].has_attr(method):
	inputdata.histos[i].set_attr(method, inputdata.attr(method))
	if inputdata.scale:
	for i in inputdata.drawonly:
	inputdata.histos[i].scale = inputdata.scale
	for i in inputdata.drawonly:
	inputdata.histos[i].mangle_input()

	def stack_histograms(self,inputdata):
	if inputdata.description.has_key('Stack'):
	stackhists = [h for h in inputdata.attr('Stack').strip().split() if h in inputdata.histos]
	previous = ''
	for i in stackhists:
	if previous != '':
	inputdata.histos[i].add(inputdata.histos[previous])
	previous = i

	def set_histo_options(self,inputdata):
	if inputdata.description.has_key('ConnectGaps'):
	for i in inputdata.histos.keys():
	if not inputdata.histos[i].description.has_key('ConnectGaps'):
	inputdata.histos[i].description['ConnectGaps'] = inputdata.description['ConnectGaps']
	# Counter and Value only have dummy x-axis, ticks wouldn't make sense here, so suppress them:
	if 'Value object' in str(inputdata.histos) or 'Counter object' in str(inputdata.histos):
	inputdata.description['XCustomMajorTicks'] = ''
	inputdata.description['XCustomMinorTicks'] = ''

	def set_borders(self, inputdata):
	self.set_xmax(inputdata)
	self.set_xmin(inputdata)
	self.set_ymax(inputdata)
	self.set_ymin(inputdata)
	self.set_zmax(inputdata)
	self.set_zmin(inputdata)
	inputdata.description['Borders'] = (self.xmin, self.xmax, self.ymin, self.ymax, self.zmin, self.zmax)

	def set_xmin(self, inputdata):
	self.xmin = inputdata.xmin
	if self.xmin is None:
	xmins = [inputdata.histos[h].getXMin() for h in inputdata.description['DrawOnly']]
	self.xmin = min(xmins) if xmins else 0.0

	def set_xmax(self,inputdata):
	self.xmax = inputdata.xmax
	if self.xmax is None:
	xmaxs = [inputdata.histos[h].getXMax() for h in inputdata.description['DrawOnly']]
	self.xmax = min(xmaxs) if xmaxs else 1.0


	def set_ymin(self,inputdata):
	if inputdata.ymin is not None:
	self.ymin = inputdata.ymin
	else:
	ymins = [inputdata.histos[i].getYMin(self.xmin, self.xmax, inputdata.description['LogY']) for i in inputdata.attr('DrawOnly')]
	minymin = min(ymins) if ymins else 0.0
	if inputdata.description['is2dim']:
	self.ymin = minymin
	else:
	showzero = inputdata.attr_bool("ShowZero", True)
	if showzero:
	self.ymin = 0. if minymin > -1e-4 else 1.1*minymin
	else:
	self.ymin = 1.1minymin if minymin < -1e-4 else 0 if minymin < 1e-4 else 0.9minymin
	if inputdata.description['LogY']:
	ymins = [ymin for ymin in ymins if ymin > 0.0]
	if not ymins:
	if self.ymax == 0:
	self.ymax = 1
	ymins.append(2e-7*self.ymax)
	minymin = min(ymins)
	fullrange = opts.FULL_RANGE
	if inputdata.has_attr('FullRange'):
	fullrange = inputdata.attr_bool('FullRange')
	self.ymin = minymin/1.7 if fullrange else max(minymin/1.7, 2e-7*self.ymax)

	if self.ymin == self.ymax:
	self.ymin -= 1
	self.ymax += 1

	def set_ymax(self,inputdata):
	if inputdata.has_attr('YMax'):
	self.ymax = inputdata.attr_float('YMax')
	else:
	ymaxs = [inputdata.histos[h].getYMax(self.xmin, self.xmax) for h in inputdata.attr('DrawOnly')]
	self.ymax = max(ymaxs) if ymaxs else 1.0
	if not inputdata.is2dim:
	self.ymax *= (1.7 if inputdata.attr_bool('LogY') else 1.1)

	def set_zmin(self,inputdata):
	if inputdata.has_attr('ZMin'):
	self.zmin = inputdata.attr_float('ZMin')
	else:
	zmins = [inputdata.histos[i].getZMin(self.xmin, self.xmax, self.ymin, self.ymax) for i in inputdata.attr('DrawOnly')]
	minzmin = min(zmins) if zmins else 0.0
	self.zmin = minzmin
	if zmins:
	showzero = inputdata.attr_bool('ShowZero', True)
	if showzero:
	self.zmin = 0 if minzmin > -1e-4 else 1.1*minzmin
	else:
	self.zmin = 1.1minzmin if minzmin < -1e-4 else 0. if minzmin < 1e-4 else 0.9minzmin
	if inputdata.attr_bool('LogZ', False):
	zmins = [zmin for zmin in zmins if zmin > 0]
	if not zmins:
	if self.zmax == 0:
	self.zmax = 1
	zmins.append(2e-7*self.zmax)
	minzmin = min(zmins)
	fullrange = inputdata.attr_bool("FullRange", opts.FULL_RANGE)
	self.zmin = minzmin/1.7 if fullrange else max(minzmin/1.7, 2e-7*self.zmax)

	if self.zmin == self.zmax:
	self.zmin -= 1
	self.zmax += 1

	def set_zmax(self,inputdata):
	self.zmax = inputdata.attr_float('ZMax')
	if self.zmax is None:
	zmaxs = [inputdata.histos[h].getZMax(self.xmin, self.xmax, self.ymin, self.ymax) for h in inputdata.attr('DrawOnly')]
	self.zmax = max(zmaxs) if zmaxs else 1.0


	def draw(self):
	pass


	def write_header(self,inputdata):
	out = '\\begin{multipage}\n'
	out += '\\begin{pspicture}(0,0)(0,0)\n'
	out += '\\psset{xunit=%scm}\n' %(inputdata.description['PlotSizeX'])
	if inputdata.description['is2dim']:
	colorseries = '{hsb}{grad}[rgb]{0,0,1}{-.700,0,0}'
	if inputdata.description.has_key('ColorSeries') and inputdata.description['ColorSeries']!='':
	colorseries = inputdata.description['ColorSeries']
	out += '\\definecolorseries{gradientcolors}%s\n' % colorseries
	out += '\\resetcolorseries[130]{gradientcolors}\n'
	return out

	def write_footer(self):
	out = '\\end{pspicture}\n'
	out += '\\end{multipage}\n'
	out += '%\n%\n'
	return out



	class MainPlot(Plot):

	def __init__(self, inputdata):
	self.set_normalization(inputdata)
	self.stack_histograms(inputdata)
	if (inputdata.description.has_key('GofLegend') and inputdata.description['GofLegend']=='1') or \
	(inputdata.description.has_key('GofFrame') and inputdata.description['GofFrame']!='') and not \
	(inputdata.description.has_key('TaylorPlot') and inputdata.description['TaylorPlot']=='1'):
	self.calculate_gof(inputdata)
	self.set_histo_options(inputdata)
	self.set_borders(inputdata)
	self.yoffset = inputdata.description['PlotSizeY']
	self.coors = Coordinates(inputdata)

	def draw(self, inputdata):
	out = ""
	out += ('\n%\n% MainPlot\n%\n')
	out += ('\\psset{yunit=%scm}\n' %(self.yoffset))
	out += ('\\rput(0,-1){%\n')
	out += ('\\psset{yunit=%scm}\n' %(inputdata.description['PlotSizeY']))
	out += self._draw(inputdata)
	out += ('}\n')
	return out

	def _draw(self, inputdata):
	out = ""

	# TODO: do this more compactly, e.g. by assigning sorting keys!
	if inputdata.attr_bool('DrawSpecialFirst', False):
	for s in inputdata.special.values():
	out += s.draw(self.coors)
	if inputdata.attr_bool('DrawFunctionFirst', False):
	for f in inputdata.functions.values():
	out += f.draw(self.coors)
	for i in inputdata.description['DrawOnly']:
	out += inputdata.histos[i].draw(self.coors)
	else:
	for i in inputdata.description['DrawOnly']:
	out += inputdata.histos[i].draw(self.coors)
	for f in inputdata.functions.values():
	out += f.draw(self.coors)
	else:
	if inputdata.attr_bool('DrawFunctionFirst', False):
	for f in inputdata.functions.values():
	out += f.draw(self.coors)
	for i in inputdata.description['DrawOnly']:
	out += inputdata.histos[i].draw(self.coors)
	else:
	for i in inputdata.description['DrawOnly']:
	out += inputdata.histos[i].draw(self.coors)
	for f in inputdata.functions.values():
	out += f.draw(self.coors)
	for s in inputdata.special.values():
	out += s.draw(self.coors)

	if inputdata.attr_bool('Legend', False):
	legend = Legend(inputdata.description,inputdata.histos,inputdata.functions)
	out += legend.draw()
	if inputdata.description['is2dim']:
	colorscale = ColorScale(inputdata.description, self.coors)
	out += colorscale.draw()
	frame = Frame()
	out += frame.draw(inputdata)

	xcustommajortickmarks = inputdata.attr_int('XMajorTickMarks', -1)
	xcustomminortickmarks = inputdata.attr_int('XMinorTickMarks', -1)

	xcustommajorticks = xcustomminorticks = None
	if inputdata.attr('XCustomMajorTicks'):
	xcustommajorticks = []
	x_label_pairs = inputdata.attr('XCustomMajorTicks').strip().split() #'\t')
	if len(x_label_pairs) % 2 == 0:
	for i in range(0, len(x_label_pairs), 2):
	xcustommajorticks.append({'Value': float(x_label_pairs[i]), 'Label': x_label_pairs[i+1]})
	else:
	print "Warning: XCustomMajorTicks requires an even number of alternating pos/label entries"

	if inputdata.attr('XCustomMinorTicks'):
	xs = inputdata.attr('XCustomMinorTicks').strip().split() #'\t')
	xcustomminorticks = [{'Value': float(x)} for x in xs]

	xticks = XTicks(inputdata.description, self.coors)
	drawxlabels = inputdata.attr_bool('PlotXTickLabels', True) and not inputdata.attr_bool('RatioPlot', False)

	out += xticks.draw(custommajortickmarks=xcustommajortickmarks,
	customminortickmarks=xcustomminortickmarks,
	custommajorticks=xcustommajorticks,
	customminorticks=xcustomminorticks,
	drawlabels=drawxlabels)

	ycustommajortickmarks = inputdata.attr_int('YMajorTickMarks', -1)
	ycustomminortickmarks = inputdata.attr_int('YMinorTickMarks', -1)

	ycustommajorticks = ycustomminorticks = None
	if inputdata.description.has_key('YCustomMajorTicks'):
	ycustommajorticks = []
	y_label_pairs = inputdata.description['YCustomMajorTicks'].strip().split() #'\t')
	if len(y_label_pairs) % 2 == 0:
	for i in range(0, len(y_label_pairs), 2):
	ycustommajorticks.append({'Value': float(y_label_pairs[i]), 'Label': y_label_pairs[i+1]})
	else:
	print "Warning: YCustomMajorTicks requires an even number of alternating pos/label entries"

	if inputdata.has_attr('YCustomMinorTicks'):
	ys = inputdata.attr('YCustomMinorTicks').strip().split() #'\t')
	ycustomminorticks = [{'Value': float(y)} for y in ys]

	yticks = YTicks(inputdata.description, self.coors)
	drawylabels = inputdata.attr_bool('PlotYTickLabels', True)

	out += yticks.draw(custommajortickmarks=ycustommajortickmarks,
	customminortickmarks=ycustomminortickmarks,
	custommajorticks=ycustommajorticks,
	customminorticks=ycustomminorticks,
	drawlabels=drawylabels)

	labels = Labels(inputdata.description)
	if inputdata.attr_bool('RatioPlot', False):
	olab = labels.draw(['Title','YLabel'])
	else:
	if not inputdata.description['is2dim']:
	olab = labels.draw(['Title','XLabel','YLabel'])
	else:
	olab = labels.draw(['Title','XLabel','YLabel','ZLabel'])
	out += olab
	return out


	def calculate_gof(self, inputdata):
	refdata = inputdata.description.get('GofReference')
	if refdata is None:
	refdata = inputdata.description.get('RatioPlotReference')

	if refdata is None:
	inputdata.description['GofLegend'] = '0'
	inputdata.description['GofFrame'] = ''
	return

	def pickcolor(gof):
	color = None
	colordefs = {}
	for i in inputdata.description.setdefault('GofFrameColor', '0:green 3:yellow 6:red!70').strip().split():
	foo = i.split(':')
	if len(foo) != 2:
	continue
	colordefs[float(foo[0])] = foo[1]
	for i in sorted(colordefs.keys()):
	if gof>=i:
	color=colordefs[i]
	return color

	inputdata.description.setdefault('GofLegend', '0')
	inputdata.description.setdefault('GofFrame', '')
	inputdata.description.setdefault('FrameColor', None)

	for i in inputdata.description['DrawOnly']:
	if i == refdata:
	continue
	if inputdata.description['GofLegend']!='1' and i!=inputdata.description['GofFrame']:
	continue

	if inputdata.description.has_key('GofType') and inputdata.description['GofType']!='chi2':
	return
	gof = inputdata.histos[i].getChi2(inputdata.histos[refdata])
	if i == inputdata.description['GofFrame'] and inputdata.description['FrameColor'] is None:
	inputdata.description['FrameColor'] = pickcolor(gof)
	if inputdata.histos[i].description.setdefault('Title', '') != '':
	inputdata.histos[i].description['Title'] += ', '
	inputdata.histos[i].description['Title'] += '$\\chi^2/n={}$%1.2f' %gof



	class TaylorPlot(Plot):

	def __init__(self, inputdata):
	self.refdata = inputdata.description['TaylorPlotReference']
	self.calculate_taylorcoordinates(inputdata)

	def calculate_taylorcoordinates(self,inputdata):
	foo = inputdata.description['DrawOnly'].pop(inputdata.description['DrawOnly'].index(self.refdata))
	inputdata.description['DrawOnly'].append(foo)
	for i in inputdata.description['DrawOnly']:
	print i
	print 'meanbinval = ', inputdata.histos[i].getMeanBinValue()
	print 'sigmabinval = ', inputdata.histos[i].getSigmaBinValue()
	print 'chi2/nbins = ', inputdata.histos[i].getChi2(inputdata.histos[self.refdata])
	print 'correlation = ', inputdata.histos[i].getCorrelation(inputdata.histos[self.refdata])
	print 'distance = ', inputdata.histos[i].getRMSdistance(inputdata.histos[self.refdata])



	class RatioPlot(Plot):

	def __init__(self, inputdata):

	self.refdata = inputdata.description['RatioPlotReference']
	self.yoffset = inputdata.description['PlotSizeY'] + inputdata.description['RatioPlotSizeY']

	inputdata.description['RatioPlotStage'] = True
	inputdata.description['PlotSizeY'] = inputdata.description['RatioPlotSizeY']
	inputdata.description['LogY'] = False # TODO: actually, log ratio plots could be useful...

	# TODO: It'd be nice it this wasn't so MC-specific
	if inputdata.description.has_key('RatioPlotMode') and inputdata.description['RatioPlotMode']=='deviation':
	inputdata.description['YLabel'] = '$(\\text{MC}-\\text{data})$'
	inputdata.description['YMin'] = -3.5
	inputdata.description['YMax'] = 3.5
	elif inputdata.description.has_key('RatioPlotMode') and inputdata.description['RatioPlotMode']=='datamc':
	inputdata.description['YLabel'] = 'Data/MC'
	inputdata.description['YMin'] = 0.5
	inputdata.description['YMax'] = 1.5
	else:
	inputdata.description['YLabel'] = 'MC/Data'
	inputdata.description['YMin'] = 0.5
	inputdata.description['YMax'] = 1.5

	if inputdata.description.has_key('RatioPlotYLabel'):
	inputdata.description['YLabel'] = inputdata.description['RatioPlotYLabel']
	inputdata.description['YLabel']='\\rput(-%s,0){%s}'%(0.5*inputdata.description['PlotSizeY']/inputdata.description['PlotSizeX'],inputdata.description['YLabel'])

	if inputdata.description.has_key('RatioPlotYMin'):
	inputdata.description['YMin'] = inputdata.description['RatioPlotYMin']
	if inputdata.description.has_key('RatioPlotYMax'):
	inputdata.description['YMax'] = inputdata.description['RatioPlotYMax']

	if not inputdata.description.has_key('RatioPlotErrorBandColor'):
	inputdata.description['RatioPlotErrorBandColor'] = 'yellow'
	if not inputdata.description.has_key('RatioPlotSameStyle') or inputdata.description['RatioPlotSameStyle'] == '0':
	inputdata.histos[self.refdata].description['ErrorBandColor'] = inputdata.description['RatioPlotErrorBandColor']
	inputdata.histos[self.refdata].description['ErrorBands'] = '1'
	inputdata.histos[self.refdata].description['ErrorBars'] = '0'
	inputdata.histos[self.refdata].description['LineStyle'] = 'solid'
	inputdata.histos[self.refdata].description['LineColor'] = 'black'
	inputdata.histos[self.refdata].description['LineWidth'] = '0.3pt'
	inputdata.histos[self.refdata].description['PolyMarker'] = ''
	inputdata.histos[self.refdata].description['ConnectGaps'] = '1'

	self.calculate_ratios(inputdata)
	self.set_borders(inputdata)
	self.coors = Coordinates(inputdata)

	def draw(self, inputdata):
	out = ""
	out += ('\n%\n% RatioPlot\n%\n')
	out += ('\\psset{yunit=%scm}\n' %(self.yoffset))
	out += ('\\rput(0,-1){%\n')
	out += ('\\psset{yunit=%scm}\n' %(inputdata.description['PlotSizeY']))
	out += self._draw(inputdata)
	out += ('}\n')
	return out

	def calculate_ratios(self, inputdata):
	foo = inputdata.description['DrawOnly'].pop(inputdata.description['DrawOnly'].index(self.refdata))
	if inputdata.histos[self.refdata].description.has_key('ErrorBands') and inputdata.histos[self.refdata].description['ErrorBands']=='1':
	inputdata.description['DrawOnly'].insert(0,foo)
	else:
	inputdata.description['DrawOnly'].append(foo)
	for i in inputdata.description['DrawOnly']:
	if i != self.refdata:
	if inputdata.description.has_key('RatioPlotMode') and inputdata.description['RatioPlotMode'] == 'deviation':
	inputdata.histos[i].deviation(inputdata.histos[self.refdata])
	elif inputdata.description.has_key('RatioPlotMode') and inputdata.description['RatioPlotMode'] == 'datamc':
	inputdata.histos[i].dividereverse(inputdata.histos[self.refdata])
	inputdata.histos[i].description['ErrorBars'] = '1'
	else:
	inputdata.histos[i].divide(inputdata.histos[self.refdata])
	if inputdata.description.has_key('RatioPlotMode') and inputdata.description['RatioPlotMode'] == 'deviation':
	inputdata.histos[self.refdata].deviation(inputdata.histos[self.refdata])
	elif inputdata.description.has_key('RatioPlotMode') and inputdata.description['RatioPlotMode'] == 'datamc':
	inputdata.histos[self.refdata].dividereverse(inputdata.histos[self.refdata])
	else:
	inputdata.histos[self.refdata].divide(inputdata.histos[self.refdata])

	def _draw(self, inputdata):
	out = ""
	for i in inputdata.description['DrawOnly']:
	if inputdata.description.has_key('RatioPlotMode') and inputdata.description['RatioPlotMode'] == 'datamc':
	if i != self.refdata:
	out += inputdata.histos[i].draw(self.coors)
	else:
	out += inputdata.histos[i].draw(self.coors)

	frame = Frame()
	out += frame.draw(inputdata)

	# TODO: so much duplication with MainPlot... yuck!
	if inputdata.description.has_key('XMajorTickMarks') and inputdata.description['XMajorTickMarks'] != '':
	xcustommajortickmarks = int(inputdata.description['XMajorTickMarks'])
	else:
	xcustommajortickmarks = -1
	if inputdata.description.has_key('XMinorTickMarks') and inputdata.description['XMinorTickMarks'] != '':
	xcustomminortickmarks = int(inputdata.description['XMinorTickMarks'])
	else:
	xcustomminortickmarks =- 1

	xcustommajorticks = None
	if inputdata.description.has_key('XCustomMajorTicks'): # and inputdata.description['XCustomMajorTicks']!='':
	xcustommajorticks = []
	tickstr = inputdata.description['XCustomMajorTicks'].strip().split() #'\t')
	if not len(tickstr) % 2:
	for i in range(0, len(tickstr), 2):
	xcustommajorticks.append({'Value': float(tickstr[i]), 'Label': tickstr[i+1]})

	xcustomminorticks = None
	if inputdata.description.has_key('XCustomMinorTicks'): # and inputdata.description['XCustomMinorTicks']!='':
	xcustomminorticks = []
	tickstr = inputdata.description['XCustomMinorTicks'].strip().split() #'\t')
	for i in range(len(tickstr)):
	xcustomminorticks.append({'Value': float(tickstr[i])})

	xticks = XTicks(inputdata.description, self.coors)
	drawlabels = not (inputdata.description.has_key('RatioPlotTickLabels') and inputdata.description['RatioPlotTickLabels']=='0')
	out += xticks.draw(custommajortickmarks=xcustommajortickmarks,
	customminortickmarks=xcustomminortickmarks,
	custommajorticks=xcustommajorticks,
	customminorticks=xcustomminorticks,
	drawlabels=drawlabels)


	ycustommajortickmarks = inputdata.attr('YMajorTickMarks', '')
	ycustommajortickmarks = int(ycustommajortickmarks) if ycustommajortickmarks else -1

	ycustomminortickmarks = inputdata.attr('YMinorTickMarks', '')
	ycustomminortickmarks = int(ycustomminortickmarks) if ycustomminortickmarks else -1

	ycustommajorticks = None
	if inputdata.description.has_key('YCustomMajorTicks'):
	ycustommajorticks = []
	tickstr = inputdata.description['YCustomMajorTicks'].strip().split() #'\t')
	if not len(tickstr) % 2:
	for i in range(0, len(tickstr), 2):
	ycustommajorticks.append({'Value': float(tickstr[i]), 'Label': tickstr[i+1]})

	ycustomminorticks = None
	if inputdata.description.has_key('YCustomMinorTicks'):
	ycustomminorticks = []
	tickstr = inputdata.description['YCustomMinorTicks'].strip().split() #'\t')
	for i in range(len(tickstr)):
	ycustomminorticks.append({'Value': float(tickstr[i])})

	yticks = YTicks(inputdata.description, self.coors)
	out += yticks.draw(custommajortickmarks=ycustommajortickmarks,
	customminortickmarks=ycustomminortickmarks,
	custommajorticks=ycustommajorticks,
	customminorticks=ycustomminorticks)

	if not inputdata.attr_bool('MainPlot', True) and inputdata.attr_bool('Legend', False):
	legend = Legend(inputdata.description, inputdata.histos, inputdata.functions)
	out += legend.draw()

	labels = Labels(inputdata.description)
	lnames = ['XLabel','YLabel']
	if not inputdata.attr_bool('MainPlot', True):
	lnames.append("Title")
	out += labels.draw(lnames)
	return out



	class Legend(Described):

	def __init__(self, description, histos, functions):
	self.histos = histos
	self.functions = functions
	self.description = description

	def draw(self):
	out = ""
	out += '\n%\n% Legend\n%\n'
	out += '\\rput[tr](%s,%s){%%\n' % (self.getLegendXPos(), self.getLegendYPos())
	ypos = -0.05*6/self.description['PlotSizeY']

	legendordermap = {}
	legendlist = self.description['DrawOnly']+self.functions.keys()
	if self.description.has_key('LegendOnly'):
	legendlist = []
	for legend in self.description['LegendOnly'].strip().split():
	if legend in self.histos.keys() or legend in self.functions.keys():
	legendlist.append(legend)
	for legend in legendlist:
	order = 0
	if self.histos.has_key(legend) and self.histos[legend].description.has_key('LegendOrder'):
	order = int(self.histos[legend].description['LegendOrder'])
	if self.functions.has_key(legend) and self.functions[legend].description.has_key('LegendOrder'):
	order = int(self.functions[legend].description['LegendOrder'])
	if not order in legendordermap:
	legendordermap[order] = []
	legendordermap[order].append(legend)
	foo=[]
	for i in sorted(legendordermap.keys()):
	foo.extend(legendordermap[i])

	rel_xpos_sign = 1.0
	if self.getLegendAlign()=='r':
	rel_xpos_sign = -1.0
	xpos1 = -0.10*rel_xpos_sign
	xpos2 = -0.02*rel_xpos_sign

	for i in foo:
	if self.histos.has_key(i):
	drawobject=self.histos[i]
	elif self.functions.has_key(i):
	drawobject=self.functions[i]
	else:
	continue
	title = drawobject.getTitle()
	if title == '':
	continue
	else:
	out += ('\\rput[B%s](%s,%s){%s}\n' %(self.getLegendAlign(),rel_xpos_sign*0.1,ypos,title))
	out += ('\\rput[B%s](%s,%s){%s\n' %(self.getLegendAlign(),rel_xpos_sign*0.1,ypos,'%'))
	if drawobject.getErrorBands():
	out += ('\\psframe[linewidth=0pt,linestyle=none,fillstyle=solid,fillcolor=%s,opacity=%s]' %(drawobject.getErrorBandColor(),drawobject.getErrorBandOpacity()))
	out += ('(%s, 0.033)(%s, 0.001)\n' %(xpos1, xpos2))
	out += ('\\psline[linestyle=' + drawobject.getLineStyle() \
	+ ', linecolor=' + drawobject.getLineColor() \
	+ ', linewidth=' + drawobject.getLineWidth() \
	+ ', strokeopacity=' + drawobject.getLineOpacity() \
	+ ', opacity=' + drawobject.getFillOpacity())
	if drawobject.getLineDash() != '':
	out += (', dash=' + drawobject.getLineDash())
	if drawobject.getFillStyle()!='none':
	out += (', fillstyle=' + drawobject.getFillStyle() \
	+ ', fillcolor=' + drawobject.getFillColor() \
	+ ', hatchcolor=' + drawobject.getHatchColor() \
	+ ']{C-C}(%s, 0.030)(%s, 0.030)(%s, 0.004)(%s, 0.004)(%s, 0.030)\n' \
	%(xpos1, xpos2, xpos2, xpos1, xpos1))
	else:
	out += ('](%s, 0.016)(%s, 0.016)\n' %(xpos1, xpos2))
	if drawobject.getPolyMarker() != '':
	out += (' \\psdot[dotstyle=' + drawobject.getPolyMarker() \
	+ ', dotsize=' + drawobject.getDotSize() \
	+ ', dotscale=' + drawobject.getDotScale() \
	+ ', linecolor=' + drawobject.getLineColor() \
	+ ', linewidth=' + drawobject.getLineWidth() \
	+ ', linestyle=' + drawobject.getLineStyle() \
	+ ', fillstyle=' + drawobject.getFillStyle() \
	+ ', fillcolor=' + drawobject.getFillColor() \
	+ ', strokeopacity=' + drawobject.getLineOpacity() \
	+ ', opacity=' + drawobject.getFillOpacity() \
	+ ', hatchcolor=' + drawobject.getHatchColor())
	if drawobject.getFillStyle()!='none':
	out += ('](%s, 0.028)\n' % (rel_xpos_sign*-0.06))
	else:
	out += ('](%s, 0.016)\n' % (rel_xpos_sign*-0.06))
	out += ('}\n')
	ypos -= 0.075*6/self.description['PlotSizeY']
	if self.description.has_key('CustomLegend'):
	for i in self.description['CustomLegend'].strip().split('\\\\'):
	out += ('\\rput[B%s](%s,%s){%s}\n' %(self.getLegendAlign(),rel_xpos_sign*0.1,ypos,i))
	ypos -= 0.075*6/self.description['PlotSizeY']
	out += ('}\n')
	return out

	def getLegendXPos(self):
	if self.description.has_key('LegendXPos'):
	return self.description['LegendXPos']
	else:
	if self.getLegendAlign()=='r':
	return '0.95'
	else:
	return '0.53'

	def getLegendYPos(self):
	if self.description.has_key('LegendYPos'):
	return self.description['LegendYPos']
	else:
	return '0.93'

	def getLegendAlign(self):
	if self.description.has_key('LegendAlign'):
	return self.description['LegendAlign']
	else:
	return 'l'


	class ColorScale(Described):

	def __init__(self, description, coors):
	self.description = description
	self.coors = coors

	def draw(self):
	out = ''
	out += '\n%\n% ColorScale\n%\n'
	out += '\\rput(1,0){\n'
	out += ' \\psset{xunit=4mm}\n'
	out += ' \\rput(0.5,0){\n'
	out += ' \\psset{yunit=0.0076923, linestyle=none, fillstyle=solid}\n'
	out += ' \\multido{\\ic=0+1,\\id=1+1}{130}{\n'
	out += ' \\psframe[fillcolor={gradientcolors!![\\ic]},dimen=inner,linewidth=0.1pt](0, \\ic)(1, \\id)\n'
	out += ' }\n'
	out += ' }\n'
	out += ' \\rput(0.5,0){\n'
	out += ' \\psframe[linewidth=0.3pt,dimen=middle](0,0)(1,1)\n'

	zcustommajortickmarks = self.attr_int('ZMajorTickMarks', -1)
	zcustomminortickmarks = self.attr_int('ZMinorTickMarks', -1)

	zcustommajorticks = zcustomminorticks = None
	if self.attr('ZCustomMajorTicks'):
	zcustommajorticks = []
	z_label_pairs = self.attr('ZCustomMajorTicks').strip().split() #'\t')
	if len(z_label_pairs) % 2 == 0:
	for i in range(0, len(z_label_pairs), 2):
	zcustommajorticks.append({'Value': float(x_label_pairs[i]), 'Label': x_label_pairs[i+1]})
	else:
	print "Warning: ZCustomMajorTicks requires an even number of alternating pos/label entries"

	if self.attr('ZCustomMinorTicks'):
	zs = self.attr('ZCustomMinorTicks').strip().split() #'\t')
	zcustomminorticks = [{'Value': float(x)} for x in xs]

	drawzlabels = self.attr_bool('PlotZTickLabels', True)

	zticks = ZTicks(self.description, self.coors)
	out += zticks.draw(custommajortickmarks=zcustommajortickmarks,\
	customminortickmarks=zcustomminortickmarks,\
	custommajorticks=zcustommajorticks,\
	customminorticks=zcustomminorticks,
	drawlabels=drawzlabels)
	out += ' }\n'
	out += '}\n'
	return out



	class Labels(Described):

	def __init__(self, description):
	self.description = description

	def draw(self, axis=[]):
	out = ""
	out += ('\n%\n% Labels\n%\n')
	if self.description.has_key('Title') and (axis.count('Title') or axis==[]):
	out += ('\\rput(0,1){\\rput[lB](0, 1.7\\labelsep){\\normalsize '+self.description['Title']+'}}\n')
	if self.description.has_key('XLabel') and (axis.count('XLabel') or axis==[]):
	xlabelsep=4.7
	if self.description.has_key('XLabelSep'):
	xlabelsep=float(self.description['XLabelSep'])
	out += ('\\rput(1,0){\\rput[rB](0,-%4.3f\\labelsep){\\normalsize '%(xlabelsep) +self.description['XLabel']+'}}\n')
	if self.description.has_key('YLabel') and (axis.count('YLabel') or axis==[]):
	ylabelsep=6.5
	if self.description.has_key('YLabelSep'):
	ylabelsep=float(self.description['YLabelSep'])
	out += ('\\rput(0,1){\\rput[rB]{90}(-%4.3f\\labelsep,0){\\normalsize '%(ylabelsep) +self.description['YLabel']+'}}\n')
	if self.description.has_key('ZLabel') and (axis.count('ZLabel') or axis==[]):
	zlabelsep=5.3
	if self.description.has_key('ZLabelSep'):
	zlabelsep=float(self.description['ZLabelSep'])
	out += ('\\rput(1,1){\\rput(%4.3f\\labelsep,0){\\psset{xunit=4mm}\\rput[lB]{270}(1.5,0){\\normalsize '%(zlabelsep) +self.description['ZLabel']+'}}}\n')
	return out



	class Special(Described):

	def __init__(self, f):
	self.description = {}
	self.data = []
	self.read_input(f)

	def read_input(self, f):
	for line in f:
	if is_end_marker(line, 'SPECIAL'):
	break
	elif is_comment(line):
	continue
	else:
	self.data.append(line)

	def draw(self, coors):
	out = ""
	out += ('\n%\n% Special\n%\n')
	import re
	regex = re.compile(r'^(.?)(\\physics[xy]?coor)$\s?([0-9\.eE+-]+)\s?,\s?([0-9\.eE+-]+)\s?$(.)')
	# TODO: More precise number string matching, something like this:
	# num = r"-?[0-9](?:\.[0-9])(?:[eE][+-]?\d+]"
	# regex = re.compile(r'^(.?)(\\physics[xy]?coor)$\s?(' + num + ')\s?,\s?(' + num + ')\s?$(.)')
	for l in self.data:
	while regex.search(l):
	match = regex.search(l)
	xcoor, ycoor = float(match.group(3)), float(match.group(4))
	if match.group(2)[1:] in ["physicscoor", "physicsxcoor"]:
	xcoor = coors.phys2frameX(xcoor)
	if match.group(2)[1:] in ["physicscoor", "physicsycoor"]:
	ycoor = coors.phys2frameY(ycoor)
	line = "%s(%f, %f)%s" % (match.group(1), xcoor, ycoor, match.group(5))
	l = line
	out += l + "\n"
	return out



	class DrawableObject(Described):

	def __init__(self, f):
	pass

	def getTitle(self):
	return self.description.get("Title", "")

	def getLineStyle(self):
	if self.description.has_key('LineStyle'):
	## I normally like there to be "only one way to do it", but providing
	## this dashdotted/dotdashed synonym just seems humane ;-)
	if self.description['LineStyle'] in ('dashdotted', 'dotdashed'):
	self.description['LineStyle']='dashed'
	self.description['LineDash']='3pt 3pt .8pt 3pt'
	return self.description['LineStyle']
	else:
	return 'solid'

	def getLineDash(self):
	if self.description.has_key('LineDash'):
	# Check if LineStyle=='dashdotted' before returning something
	self.getLineStyle()
	return self.description['LineDash']
	else:
	return ''

	def getLineWidth(self):
	return self.description.get("LineWidth", "0.8pt")

	def getLineColor(self):
	return self.description.get("LineColor", "black")

	def getLineOpacity(self):
	return self.description.get("LineOpacity", "1.0")

	def getFillColor(self):
	return self.description.get("FillColor", "white")

	def getFillOpacity(self):
	return self.description.get("FillOpacity", "1.0")

	def getHatchColor(self):
	return self.description.get("HatchColor", "black")

	def getFillStyle(self):
	return self.description.get("FillStyle", "none")

	def getPolyMarker(self):
	return self.description.get("PolyMarker", "")

	def getDotSize(self):
	return self.description.get("DotSize", "2pt 2")

	def getDotScale(self):
	return self.description.get("DotScale", "1")

	def getErrorBars(self):
	return bool(int(self.description.get("ErrorBars", "0")))

	def getErrorBands(self):
	return bool(int(self.description.get("ErrorBands", "0")))

	def getErrorBandColor(self):
	return self.description.get("ErrorBandColor", "yellow")

	def getErrorBandOpacity(self):
	return self.description.get("ErrorBandOpacity", "1.0")

	def getSmoothLine(self):
	return bool(int(self.description.get("SmoothLine", "0")))

	def startclip(self):
	return '\\psclip{\\psframe[linewidth=0, linestyle=none](0,0)(1,1)}\n'

	def stopclip(self):
	return '\\endpsclip\n'

	def startpsset(self):
	out = ""
	out += ('\\psset{linecolor='+self.getLineColor()+'}\n')
	out += ('\\psset{linewidth='+self.getLineWidth()+'}\n')
	out += ('\\psset{linestyle='+self.getLineStyle()+'}\n')
	out += ('\\psset{fillstyle='+self.getFillStyle()+'}\n')
	out += ('\\psset{fillcolor='+self.getFillColor()+'}\n')
	out += ('\\psset{hatchcolor='+self.getHatchColor()+'}\n')
	out += ('\\psset{strokeopacity='+self.getLineOpacity()+'}\n')
	out += ('\\psset{opacity='+self.getFillOpacity()+'}\n')
	if self.getLineDash()!='':
	out += ('\\psset{dash='+self.getLineDash()+'}\n')
	return out

	def stoppsset(self):
	out = ""
	out += ('\\psset{linecolor=black}\n')
	out += ('\\psset{linewidth=0.8pt}\n')
	out += ('\\psset{linestyle=solid}\n')
	out += ('\\psset{fillstyle=none}\n')
	out += ('\\psset{fillcolor=white}\n')
	out += ('\\psset{hatchcolor=black}\n')
	out += ('\\psset{strokeopacity=1.0}\n')
	out += ('\\psset{opacity=1.0}\n')
	return out



	class Function(DrawableObject, Described):

	def __init__(self, f):
	self.description = {}
	self.read_input(f)

	def read_input(self, f):
	self.code='def plotfunction(x):\n'
	iscode=False
	for line in f:
	if is_end_marker(line, 'FUNCTION'):
	break
	elif is_comment(line):
	continue
	else:
	m = pat_property.match(line)
	if iscode:
	self.code+=' '+line
	elif m:
	prop, value = m.group(1,2)
	if prop=='Code':
	iscode=True
	else:
	self.description[prop] = value
	if not iscode:
	print '++++++++++ ERROR: No code in function'
	else:
	foo = compile(self.code, '<string>', 'exec')
	exec(foo)
	self.plotfunction = plotfunction


	def draw(self,coors):
	out = ""
	out += self.startclip()
	out += self.startpsset()
	xmin = coors.xmin()
	if self.description.has_key('XMin') and self.description['XMin']:
	xmin = float(self.description['XMin'])
	xmax=coors.xmax()
	if self.description.has_key('XMax') and self.description['XMax']:
	xmax=float(self.description['XMax'])
	# TODO: Space sample points logarithmically if LogX=1
	dx = (xmax-xmin)/500.
	x = xmin-dx
	out += '\\pscurve'
	if self.description.has_key('FillStyle') and self.description['FillStyle']!='none':
	out += '(%s,%s)\n' % (coors.strphys2frameX(xmin),coors.strphys2frameY(coors.ymin()))
	while x < (xmax+2*dx):
	y = self.plotfunction(x)
	out += ('(%s,%s)\n' % (coors.strphys2frameX(x), coors.strphys2frameY(y)))
	x += dx
	if self.description.has_key('FillStyle') and self.description['FillStyle']!='none':
	out += '(%s,%s)\n' % (coors.strphys2frameX(xmax),coors.strphys2frameY(coors.ymin()))
	out += self.stoppsset()
	out += self.stopclip()
	return out


	class BinData(object):
	"""\
	Store bin edge and value+error(s) data for a 1D or 2D bin.

	TODO: generalise/alias the attr names to avoid mention of x and y
	"""

	def __init__(self, low, high, val, err):
	#print "@", low, high, val, err
	self.low = floatify(low)
	self.high = floatify(high)
	self.val = float(val)
	self.err = floatpair(err)

	@property
	def is2D(self):
	return hasattr(self.low, "__len__") and hasattr(self.high, "__len__")

	@property
	def isValid(self):
	invalid_val = (isnan(self.val) or isnan(self.err[0]) or isnan(self.err[1]))
	if invalid_val:
	return False
	if self.is2D:
	invalid_low = any(isnan(x) for x in self.low)
	invalid_high = any(isnan(x) for x in self.high)
	else:
	invalid_low, invalid_high = isnan(self.low), isnan(self.high)
	return not (invalid_low or invalid_high)

	@property
	def xmin(self):
	return self.low
	@xmin.setter
	def xmin(self,x):
	self.low = x

	@property
	def xmax(self):
	return self.high
	@xmax.setter
	def xmax(self,x):
	self.high = x

	@property
	def xmid(self):
	# TODO: Generalise to 2D
	return (self.xmin + self.xmax) / 2.0

	@property
	def xwidth(self):
	# TODO: Generalise to 2D
	assert self.xmin <= self.xmax
	return self.xmax - self.xmin

	@property
	def y(self):
	return self.val
	@y.setter
	def y(self, x):
	self.val = x

	@property
	def ey(self):
	return self.err
	@ey.setter
	def ey(self, x):
	self.err = x

	@property
	def ymin(self):
	return self.y - self.ey[0]

	@property
	def ymax(self):
	return self.y + self.ey[1]

	def __getitem__(self, key):
	"dict-like access for backward compatibility"
	if key in ("LowEdge"):
	return self.xmin
	elif key == ("UpEdge", "HighEdge"):
	return self.xmax
	elif key == "Content":
	return self.y
	elif key == "Errors":
	return self.ey


	class Histogram(DrawableObject, Described):

	def __init__(self, f, p=None):
	self.description = {}
	self.is2dim = False
	self.data = []
	self.read_input_data(f)
	self.sigmabinvalue = None
	self.meanbinvalue = None
	self.path = p

	def read_input_data(self, f):
	for line in f:
	if is_end_marker(line, 'HISTOGRAM'):
	break
	elif is_comment(line):
	continue
	else:
	line = line.rstrip()
	m = pat_property.match(line)
	if m:
	prop, value = m.group(1,2)
	self.description[prop] = value
	else:
	## Detect symm errs
	linearray = line.split()
	if len(linearray) == 4:
	self.data.append(BinData(*linearray))
	## Detect asymm errs
	elif len(linearray) == 5:
	self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
	## Detect two-dimensionality
	elif len(linearray) in [6,7]:
	self.is2dim = True
	# If asymm z error, use the max or average of +- error
	err = float(linearray[5])
	if len(linearray) == 7:
	if self.description.get("ShowMaxZErr", 1):
	err = max(err, float(linearray[6]))
	else:
	err = 0.5 * (err + float(linearray[6]))
	self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], linearray[4], err))
	## Unknown histo format
	else:
	raise RuntimeError("Unknown HISTOGRAM data line format with %d entries" % len(linearray))


	def mangle_input(self):
	norm2int = self.attr_bool("NormalizeToIntegral", False)
	norm2sum = self.attr_bool("NormalizeToSum", False)
	if norm2int or norm2sum:
	if norm2int and norm2sum:
	print "Can't normalize to Integral and to Sum at the same time. Will normalize to the Sum."
	foo = 0
	# TODO: change to "in self.data"?
	for i in range(len(self.data)):
	if norm2sum:
	foo += self.data[i].val
	else:
	foo += self.data[i].val*(self.data[i].xmax-self.data[i].xmin)

	# TODO: change to "in self.data"?
	if foo != 0:
	for i in range(len(self.data)):
	self.data[i].val /= foo
	self.data[i].err[0] /= foo
	self.data[i].err[1] /= foo
	scale = self.attr_float('Scale', 1.0)
	if scale != 1.0:
	# TODO: change to "in self.data"?
	for i in range(len(self.data)):
	self.data[i].val *= scale
	self.data[i].err[0] *= scale
	self.data[i].err[1] *= scale
	if self.attr_int("Rebin", 1) > 1:
	rebin = self.attr_int("Rebin", 1)
	errortype = self.attr("ErrorType", "stat")
	newdata = []
	for i in range(0, (len(self.data)//rebin)*rebin, rebin):
	foo = 0.
	barl = 0.
	baru = 0.
	for j in range(rebin):
	binwidth = self.data[i+j].xwidth
	foo += self.data[i+j].val * binwidth
	if errortype == "stat":
	barl += (binwidth * self.data[i+j].err[0])**2
	baru += (binwidth * self.data[i+j].err[1])**2
	elif errortype == "env":
	barl += self.data[i+j].ymin * binwidth
	baru += self.data[i+j].ymax * binwidth
	else:
	logging.error("Rebinning for ErrorType not implemented.")
	sys.exit(1)
	newbinwidth = self.data[i+rebin-1].xmax - self.data[i].xmin
	newcentral = foo/newbinwidth
	if errortype == "stat":
	newerror = [sqrt(barl)/newbinwidth, sqrt(baru)/newbinwidth]
	elif errortype == "env":
	newerror = [(foo-barl)/newbinwidth, (baru-foo)/newbinwidth]
	newdata.append(BinData(self.data[i].xmin, self.data[i+rebin-1].xmax, newcentral, newerror))
	self.data = newdata

	def add(self, name):
	if len(self.data) != len(name.data):
	print '+++ Error in Histogram.add() for %s: different numbers of bins' % self.path
	for i in range(len(self.data)):
	if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
	fuzzyeq(self.data[i].xmax, name.data[i].xmax):
	self.data[i].val += name.data[i].val
	self.data[i].err[0] = sqrt(self.data[i].err[0]2 + name.data[i].err[0]2)
	self.data[i].err[1] = sqrt(self.data[i].err[1]2 + name.data[i].err[1]2)
	else:
	print '+++ Error in Histogram.add() for %s: binning of histograms differs' % self.path

	def divide(self, name):
	#print name.path, self.path
	if len(self.data) != len(name.data):
	print '+++ Error in Histogram.divide() for %s: different numbers of bins' % self.path
	for i in range(len(self.data)):
	if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
	fuzzyeq(self.data[i].xmax, name.data[i].xmax):
	try:
	self.data[i].err[0] /= name.data[i].val
	except ZeroDivisionError:
	self.data[i].err[0]=0.
	try:
	self.data[i].err[1] /= name.data[i].val
	except ZeroDivisionError:
	self.data[i].err[1]=0.
	try:
	self.data[i].val /= name.data[i].val
	except ZeroDivisionError:
	self.data[i].val=1.
	# self.data[i].err[0] = sqrt(self.data[i].err[0]2 + name.data[i].err[0]2)
	# self.data[i].err[1] = sqrt(self.data[i].err[1]2 + name.data[i].err[1]2)
	else:
	print '+++ Error in Histogram.divide() for %s: binning of histograms differs' % self.path

	def dividereverse(self, name):
	if len(self.data) != len(name.data):
	print '+++ Error in Histogram.dividereverse() for %s: different numbers of bins' % self.path
	for i in range(len(self.data)):
	if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
	fuzzyeq(self.data[i].xmax, name.data[i].xmax):
	try:
	self.data[i].err[0] = name.data[i].err[0]/self.data[i].val
	except ZeroDivisionError:
	self.data[i].err[0]=0.
	try:
	self.data[i].err[1] = name.data[i].err[1]/self.data[i].val
	except ZeroDivisionError:
	self.data[i].err[1]=0.
	try:
	self.data[i].val = name.data[i].val/self.data[i].val
	except ZeroDivisionError:
	self.data[i].val=1.
	else:
	print '+++ Error in Histogram.dividereverse(): binning of histograms differs'

	def deviation(self, name):
	if len(self.data) != len(name.data):
	print '+++ Error in Histogram.deviation() for %s: different numbers of bins' % self.path
	for i in range(len(self.data)):
	if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
	fuzzyeq(self.data[i].xmax, name.data[i].xmax):
	self.data[i].val -= name.data[i].val
	try:
	self.data[i].val /= 0.5sqrt((name.data[i].err[0] + name.data[i].err[1])*2 + \
	(self.data[i].err[0] + self.data[i].err[1])**2)
	except ZeroDivisionError:
	self.data[i].val = 0.0
	try:
	self.data[i].err[0] /= name.data[i].err[0]
	except ZeroDivisionError:
	self.data[i].err[0] = 0.0
	try:
	self.data[i].err[1] /= name.data[i].err[1]
	except ZeroDivisionError:
	self.data[i].err[1] = 0.0
	else:
	print '+++ Error in Histogram.deviation() for %s: binning of histograms differs' % self.path

	def getChi2(self, name):
	chi2 = 0.
	for i in range(len(self.data)):
	if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
	fuzzyeq(self.data[i].xmax, name.data[i].xmax):
	try:
	chi2 += (self.data[i].val-name.data[i].val)*2/((0.5self.data[i].err[0]+0.5self.data[i].err[1])2 + (0.5name.data[i].err[0]+0.5name.data[i].err[1])*2)
	except ZeroDivisionError:
	pass
	else:
	print '+++ Error in Histogram.getChi2() for %s: binning of histograms differs' % self.path
	return chi2/len(self.data)

	def getSigmaBinValue(self):
	if self.sigmabinvalue==None:
	self.sigmabinvalue = 0.
	sumofweights = 0.
	for i in range(len(self.data)):
	if self.is2dim:
	binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
	*(self.data[i].xmax[1] - self.data[i].xmin[1]))
	else:
	binwidth = abs(self.data[i].xmax - self.data[i].xmin)
	self.sigmabinvalue += binwidth(self.data[i].val-self.getMeanBinValue())*2
	sumofweights += binwidth
	self.sigmabinvalue = sqrt(self.sigmabinvalue/sumofweights)
	return self.sigmabinvalue

	def getMeanBinValue(self):
	if self.meanbinvalue==None:
	self.meanbinvalue = 0.
	sumofweights = 0.
	for i in range(len(self.data)):
	if self.is2dim:
	binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
	*(self.data[i].xmax[1] - self.data[i].xmin[1]))
	else:
	binwidth = abs(self.data[i].xmax - self.data[i].xmin)
	self.meanbinvalue += binwidth*self.data[i].val
	sumofweights += binwidth
	self.meanbinvalue /= sumofweights
	return self.meanbinvalue

	def getCorrelation(self, name):
	correlation = 0.
	sumofweights = 0.
	for i in range(len(self.data)):
	if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
	fuzzyeq(self.data[i].xmax, name.data[i].xmax):
	if self.is2dim:
	binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
	* (self.data[i].xmax[1] - self.data[i].xmin[1]) )
	else:
	binwidth = abs(self.data[i].xmax - self.data[i].xmin)
	correlation += binwidth * ( self.data[i].val - self.getMeanBinValue() ) \
	* ( name.data[i].val - name.getMeanBinValue() )
	sumofweights += binwidth
	else:
	print '+++ Error in Histogram.getCorrelation(): binning of histograms differs' % self.path
	correlation /= sumofweights
	try:
	correlation /= self.getSigmaBinValue()*name.getSigmaBinValue()
	except ZeroDivisionError:
	correlation = 0
	return correlation

	def getRMSdistance(self,name):
	distance = 0.
	sumofweights = 0.
	for i in range(len(self.data)):
	if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
	fuzzyeq(self.data[i].xmax, name.data[i].xmax):
	if self.is2dim:
	binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
	* (self.data[i].xmax[1] - self.data[i].xmin[1]) )
	else:
	binwidth = abs(self.data[i].xmax - self.data[i].xmin)
	distance += binwidth * ( (self.data[i].val - self.getMeanBinValue())
	-(name.data[i].val - name.getMeanBinValue()))**2
	sumofweights += binwidth
	else:
	print '+++ Error in Histogram.getRMSdistance() for %s: binning of histograms differs' % self.path
	distance = sqrt(distance/sumofweights)
	return distance

	def draw(self,coors):
	seen_nan = False
	out = ""
	out += self.startclip()
	out += self.startpsset()
	if any(b.isValid for b in self.data):
	out += "% START DATA\n"
	if self.is2dim:
	for b in self.data:
	out += ('\\psframe')
	color = int(129*coors.phys2frameZ(b.val))
	if b.val > coors.zmax():
	color = 129
	if b.val < coors.zmin():
	color = 0
	if b.val <= coors.zmin():
	out += ('[linewidth=0pt, linestyle=none, fillstyle=solid, fillcolor=white]')
	else:
	out += ('[linewidth=0pt, linestyle=none, fillstyle=solid, fillcolor={gradientcolors!!['+str(color)+']}]')
	out += ('(' + coors.strphys2frameX(b.low[0]) + ', ' \
	+ coors.strphys2frameY(b.low[1]) + ')(' \
	+ coors.strphys2frameX(b.high[0]) + ', ' \
	+ coors.strphys2frameY(b.high[1]) + ')\n')
	else:
	if self.getErrorBands():
	self.description['SmoothLine'] = 0
	for b in self.data:
	out += ('\\psframe[dimen=inner,linewidth=0pt,linestyle=none,fillstyle=solid,fillcolor=%s,opacity=%s]' % (self.getErrorBandColor(),self.getErrorBandOpacity()))
	out += ('(' + coors.strphys2frameX(b.xmin) + ', ' \
	+ coors.strphys2frameY(b.val - b.err[0]) + ')(' \
	+ coors.strphys2frameX(b.xmax) + ', ' \
	+ coors.strphys2frameY(b.val + b.err[1]) + ')\n')
	if self.getErrorBars():
	for b in self.data:
	if isnan(b.val) or isnan(b.err[0]) or isnan(b.err[1]):
	seen_nan = True
	continue
	if b.val == 0. and b.err == [0.,0.]:
	continue
	out += ('\\psline')
	out += ('(' + coors.strphys2frameX(b.xmin) + ', ' \
	+ coors.strphys2frameY(b.val) + ')(' \
	+ coors.strphys2frameX(b.xmax) + ', ' \
	+ coors.strphys2frameY(b.val) + ')\n')
	out += ('\\psline')
	bincenter = coors.strphys2frameX(.5*(b.xmin+b.xmax))
	out += ('(' + bincenter + ', ' \
	+ coors.strphys2frameY(b.val-b.err[0]) + ')(' \
	+ bincenter + ', ' \
	+ coors.strphys2frameY(b.val+b.err[1]) + ')\n')
	if self.getSmoothLine():
	out += '\\psbezier'
	else:
	out += '\\psline'
	if self.getFillStyle() != 'none': # make sure that filled areas go all the way down to the x-axis
	if coors.phys2frameX(self.data[0].xmin) > 1e-4:
	out += '(' + coors.strphys2frameX(self.data[0].xmin) + ', -0.1)\n'
	else:
	out += '(-0.1, -0.1)\n'
	for i, b in enumerate(self.data):
	if isnan(b.val):
	seen_nan = True
	continue
	if self.getSmoothLine():
	out += ('(' + coors.strphys2frameX(0.5*(b.xmin+b.xmax)) + ', ' \
	+ coors.strphys2frameY(b.val) + ')\n')
	else:
	out += ('(' + coors.strphys2frameX(b.xmin) + ', ' \
	+ coors.strphys2frameY(b.val) + ')(' \
	+ coors.strphys2frameX(b.xmax) + ', ' \
	+ coors.strphys2frameY(b.val) + ')\n')
	## Join/separate data points, with vertical/diagonal lines
	if i+1 < len(self.data): #< If this is not the last point
	if self.description.get('ConnectBins', '1') != '1':
	out += ('\\psline')
	else:
	## If bins are joined, but there is a gap in binning, choose whether to fill the gap
	if (abs(coors.phys2frameX(b.xmax) - coors.phys2frameX(self.data[i+1].xmin)) > 1e-4):
	if self.description.get('ConnectGaps', '0') != '1':
	out += ('\\psline')
	# TODO: Perhaps use a new dashed line to fill the gap?
	if self.getFillStyle() != 'none': # make sure that filled areas go all the way down to the x-axis
	if (coors.phys2frameX(self.data[-1].xmax) < 1-1e-4):
	out += '(' + coors.strphys2frameX(self.data[-1].xmax) + ', -0.1)\n'
	else:
	out += '(1.1, -0.1)\n'
	#
	if self.getPolyMarker() != '':
	for b in self.data:
	if isnan(b.val):
	seen_nan = True
	continue
	if b.val == 0. and b.err == [0.,0.]:
	continue
	out += ('\\psdot[dotstyle=%s,dotsize=%s,dotscale=%s](' % (self.getPolyMarker(),self.getDotSize(),self.getDotScale()) \
	+ coors.strphys2frameX(.5*(b.xmin+b.xmax)) + ', ' \
	+ coors.strphys2frameY(b.val) + ')\n')

	out += "% END DATA\n"
	else:
	print "WARNING: No valid bin value/errors/edges to plot!"
	out += "% NO DATA!\n"

	out += self.stoppsset()
	out += self.stopclip()
	if seen_nan:
	print "WARNING: NaN-valued value or error bar!"
	return out

	# def is2dimensional(self):
	# return self.is2dim

	def getXMin(self):
	if not self.data:
	return 0
	elif self.is2dim:
	return min(b.low[0] for b in self.data)
	else:
	return min(b.xmin for b in self.data)

	def getXMax(self):
	if not self.data:
	return 1
	elif self.is2dim:
	return max(b.high[0] for b in self.data)
	else:
	return max(b.xmax for b in self.data)

	def getYMin(self, xmin, xmax, logy):
	if not self.data:
	return 0
	elif self.is2dim:
	return min(b.low[1] for b in self.data)
	else:
	yvalues = []
	for b in self.data:
	if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
	foo = b.val
	if self.getErrorBars() or self.getErrorBands():
	foo -= b.err[0]
	if not isnan(foo) and (not logy or foo > 0):
	yvalues.append(foo)
	return min(yvalues) if yvalues else self.data[0].val

	def getYMax(self, xmin, xmax):
	if not self.data:
	return 1
	elif self.is2dim:
	return max(b.high[1] for b in self.data)
	else:
	yvalues = []
	for b in self.data:
	if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
	foo = b.val
	if self.getErrorBars() or self.getErrorBands():
	foo += b.err[1]
	if not isnan(foo): # and (not logy or foo > 0):
	yvalues.append(foo)
	return max(yvalues) if yvalues else self.data[0].val

	def getZMin(self, xmin, xmax, ymin, ymax):
	if not self.is2dim:
	return 0
	zvalues = []
	for b in self.data:
	if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
	zvalues.append(b.val)
	return min(zvalues)

	def getZMax(self, xmin, xmax, ymin, ymax):
	if not self.is2dim:
	return 0
	zvalues = []
	for b in self.data:
	if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
	zvalues.append(b.val)
	return max(zvalues)



	class Value(Histogram):

	def read_input_data(self, f):
	for line in f:
	if is_end_marker(line, 'VALUE'):
	break
	elif is_comment(line):
	continue
	else:
	line = line.rstrip()
	m = pat_property.match(line)
	if m:
	prop, value = m.group(1,2)
	self.description[prop] = value
	else:
	linearray = line.split()
	if len(linearray) == 3:
	self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[2] ])) # dummy x-values
	else:
	raise Exception('Value does not have the expected number of columns. ' + line)

	# TODO: specialise draw() here


	class Counter(Histogram):

	def read_input_data(self, f):
	for line in f:
	if is_end_marker(line, 'COUNTER'):
	break
	elif is_comment(line):
	continue
	else:
	line = line.rstrip()
	m = pat_property.match(line)
	if m:
	prop, value = m.group(1,2)
	self.description[prop] = value
	else:
	linearray = line.split()
	if len(linearray) == 2:
	self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[1] ])) # dummy x-values
	else:
	raise Exception('Counter does not have the expected number of columns. ' + line)

	# TODO: specialise draw() here


	class Histo1D(Histogram):

	def read_input_data(self, f):
	for line in f:
	if is_end_marker(line, 'HISTO1D'):
	break
	elif is_comment(line):
	continue
	else:
	line = line.rstrip()
	m = pat_property.match(line)
	if m:
	prop, value = m.group(1,2)
	self.description[prop] = value
	else:
	linearray = line.split()
	## Detect symm errs
	# TODO: Not sure what the 8-param version is for... auto-compatibility with YODA format?
	if len(linearray) in [4,8]:
	self.data.append(BinData(linearray[0], linearray[1], linearray[2], linearray[3]))
	## Detect asymm errs
	elif len(linearray) == 5:
	self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
	else:
	raise Exception('Histo1D does not have the expected number of columns. ' + line)

	# TODO: specialise draw() here


	class Histo2D(Histogram):

	def read_input_data(self, f):
	self.is2dim = True #< Should really be done in a constructor, but this is easier for now...

	for line in f:
	if is_end_marker(line, 'HISTO2D'):
	break
	elif is_comment(line):
	continue
	else:
	line = line.rstrip()
	m = pat_property.match(line)
	if m:
	prop, value = m.group(1,2)
	self.description[prop] = value
	else:
	linearray = line.split()
	if len(linearray) in [6,7]:
	# If asymm z error, use the max or average of +- error
	err = float(linearray[5])
	if len(linearray) == 7:
	if self.description.get("ShowMaxZErr", 1):
	err = max(err, float(linearray[6]))
	else:
	err = 0.5 * (err + float(linearray[6]))
	self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], float(linearray[4]), err))
	else:
	raise Exception('Histo2D does not have the expected number of columns. '+line)

	# TODO: specialise draw() here



	#############################



	class Frame(object):

	def __init__(self):
	self.framelinewidth = '0.3pt'

	def draw(self,inputdata):
	out = ('\n%\n% Frame\n%\n')
	if inputdata.description.has_key('FrameColor') and inputdata.description['FrameColor']!=None:
	color = inputdata.description['FrameColor']
	# We want to draw this frame only once, so set it to False for next time:
	inputdata.description['FrameColor']=None

	# Calculate how high and wide the overall plot is
	height = [0,0]
	width = inputdata.attr('PlotSizeX')
	if inputdata.attr_bool('RatioPlot', False):
	height[1] = -inputdata.description['RatioPlotSizeY']
	if not inputdata.attr_bool('MainPlot', True):
	height[0] = inputdata.description['PlotSizeY']
	else:
	height[0] = -height[1]
	height[1] = 0

	# Get the margin widths
	left = inputdata.description['LeftMargin']+0.1
	right = inputdata.description['RightMargin']+0.1
	top = inputdata.description['TopMargin']+0.1
	bottom = inputdata.description['BottomMargin']+0.1

	#
	out += ('\\rput(0,1){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(top, color, -left, top/2, width+right, top/2))
	out += ('\\rput(0,%scm){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(height[1], bottom, color, -left, -bottom/2, width+right, -bottom/2))
	out += ('\\rput(0,0){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(left, color, -left/2, height[1]-0.05, -left/2, height[0]+0.05))
	out += ('\\rput(1,0){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(right, color, right/2, height[1]-0.05, right/2, height[0]+0.05))


	out += ('\\psframe[linewidth='+self.framelinewidth+',dimen=middle](0,0)(1,1)\n')
	return out



	class Ticks(object):

	def __init__(self, description, coors):
	self.majorticklinewidth = '0.3pt'
	self.minorticklinewidth = '0.3pt'
	self.majorticklength = '9pt'
	self.minorticklength = '4pt'
	self.description = description
	self.coors = coors

	def draw_ticks(self, vmin, vmax, plotlog=False, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True, twosided=False):
	out = ""
	if plotlog:
	if vmin <= 0 or vmax <= 0:
	raise Exception("Cannot place log axis min or max tick <= 0")
	if custommajorticks is None:
	x = int(log10(vmin))
	n_labels = 0
	while x < log10(vmax) + 1:
	if 10**x >= vmin:
	ticklabel = 10**x
	if ticklabel > vmin and ticklabel < vmax:
	out += self.draw_majortick(ticklabel,twosided)
	if drawlabels:
	out += self.draw_majorticklabel(ticklabel)
	n_labels += 1
	if ticklabel == vmin or ticklabel == vmax:
	if drawlabels:
	out += self.draw_majorticklabel(ticklabel)
	n_labels+=1
	for i in range(2,10):
	ticklabel = i10*(x-1)
	if ticklabel > vmin and ticklabel < vmax:
	out += self.draw_minortick(ticklabel,twosided)
	if drawlabels and n_labels == 0:
	if (i+1)10*(x-1) < vmax: # some special care for the last minor tick
	out += self.draw_minorticklabel(ticklabel)
	else:
	out += self.draw_minorticklabel(ticklabel, last=True)
	x += 1
	else:
	print "Warning: custom major ticks not currently supported on log axes -- please contact the developers to request!"
	elif custommajorticks is not None or customminorticks is not None:
	if custommajorticks:
	for i in range(len(custommajorticks)):
	value = custommajorticks[i]['Value']
	label = custommajorticks[i]['Label']
	if value >= vmin and value <= vmax:
	out += self.draw_majortick(value,twosided)
	if drawlabels:
	out += self.draw_majorticklabel(value, label=label)
	if customminorticks:
	for i in range(len(customminorticks)):
	value = customminorticks[i]['Value']
	if value >= vmin and value <= vmax:
	out += self.draw_minortick(value,twosided)
	else:
	vrange = vmax - vmin
	if isnan(vrange):
	vrange, vmin, vmax = 1, 1, 2
	digits = int(log10(vrange))+1
	if vrange <= 1:
	digits -= 1
	foo = int(vrange/(10**(digits-1)))
	if foo/9. > 0.5:
	tickmarks = 10
	elif foo/9. > 0.2:
	tickmarks = 5
	elif foo/9. > 0.1:
	tickmarks = 2

	if custommajortickmarks > -1:
	if custommajortickmarks not in [1, 2, 5, 10, 20]:
	print '+++ Error in Ticks.draw_ticks(): MajorTickMarks must be in [1, 2, 5, 10, 20]'
	else:
	tickmarks = custommajortickmarks

	if tickmarks == 2 or tickmarks == 20:
	minortickmarks = 3
	else:
	minortickmarks = 4
	if customminortickmarks > -1:
	minortickmarks = customminortickmarks
	#
	x = 0
	while x > vmin10*digits:
	x -= tickmarks100*(digits-1)
	while x <= vmax10*digits:
	if x >= vmin10digits - tickmarks100**(digits-1):
	ticklabel = 1.x/10*digits
	if int(ticklabel) == ticklabel:
	ticklabel = int(ticklabel)
	if float(ticklabel-vmin)/vrange >= -1e-5:
	if abs(ticklabel-vmin)/vrange > 1e-5 and abs(ticklabel-vmax)/vrange > 1e-5:
	out += self.draw_majortick(ticklabel,twosided)
	if drawlabels:
	out += self.draw_majorticklabel(ticklabel)

	xminor = x
	for i in range(minortickmarks):
	xminor += 1.tickmarks100**(digits-1)/(minortickmarks+1)
	ticklabel = 1.xminor/10*digits
	if ticklabel > vmin and ticklabel < vmax:
	if abs(ticklabel-vmin)/vrange > 1e-5 and abs(ticklabel-vmax)/vrange > 1e-5:
	out += self.draw_minortick(ticklabel,twosided)
	x += tickmarks100*(digits-1)
	return out

	def draw(self):
	pass

	def draw_minortick(self, ticklabel, twosided):
	pass

	def draw_majortick(self, ticklabel, twosided):
	pass

	def draw_majorticklabel(self, ticklabel):
	pass

	def draw_minorticklabel(self, value, label='', last=False):
	return ''

	def get_ticklabel(self, value, plotlog=False, minor=False, lastminor=False):
	label=''
	prefix = ''
	if plotlog:
	bar = int(log10(value))
	if bar < 0:
	sign='-'
	else:
	sign='\\,'
	if minor: # The power of ten is only to be added to the last minor tick label
	if lastminor:
	label = str(int(value/(10**bar))) + "\\cdot" + '10$^{'+sign+'\\text{'+str(abs(bar))+'}}$'
	else:
	label = str(int(value/(10**bar))) # The naked prefactor
	else:
	if bar==0:
	label = '1'
	else:
	label = '10$^{'+sign+'\\text{'+str(abs(bar))+'}}$'
	else:
	if fabs(value) < 1e-10:
	value = 0
	label = str(value)
	if "e" in label:
	a, b = label.split("e")
	astr = "%2.1f" % float(a)
	bstr = str(int(b))
	label = "\\smaller{%s $\\!\\cdot 10^{%s} $}" % (astr, bstr)
	return label



	class XTicks(Ticks):

	def draw(self, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1,drawlabels=True):
	twosided = bool(int(self.description.get('XTwosidedTicks', '0')))
	out = ""
	out += ('\n%\n% X-Ticks\n%\n')
	out += ('\\def\\majortickmarkx{\\psline[linewidth='+self.majorticklinewidth+'](0,0)(0,'+self.majorticklength+')}%\n')
	out += ('\\def\\minortickmarkx{\\psline[linewidth='+self.minorticklinewidth+'](0,0)(0,'+self.minorticklength+')}%\n')
	uselog = self.description['LogX'] and (self.coors.xmin() > 0 and self.coors.xmax() > 0)
	out += self.draw_ticks(self.coors.xmin(), self.coors.xmax(),\
	plotlog=uselog,\
	custommajorticks=custommajorticks,\
	customminorticks=customminorticks,\
	custommajortickmarks=custommajortickmarks,\
	customminortickmarks=customminortickmarks,\
	drawlabels=drawlabels,\
	twosided=twosided)
	return out

	def draw_minortick(self, ticklabel, twosided):
	out = ''
	out += '\\rput('+self.coors.strphys2frameX(ticklabel)+', 0){\\minortickmarkx}\n'
	if twosided:
	out += '\\rput{180}('+self.coors.strphys2frameX(ticklabel)+', 1){\\minortickmarkx}\n'
	return out

	def draw_minorticklabel(self, value, label='', last=False):
	if not label:
	label=self.get_ticklabel(value, int(self.description['LogX']), minor=True, lastminor=last)
	if last: # Some more indentation for the last minor label
	return ('\\rput('+self.coors.strphys2frameX(value)+', 0){\\rput[B](1.9\\labelsep,-2.3\\labelsep){\\strut{}'+label+'}}\n')
	else:
	return ('\\rput('+self.coors.strphys2frameX(value)+', 0){\\rput[B](0,-2.3\\labelsep){\\strut{}'+label+'}}\n')

	def draw_majortick(self, ticklabel, twosided):
	out = ''
	out += '\\rput('+self.coors.strphys2frameX(ticklabel)+', 0){\\majortickmarkx}\n'
	if twosided:
	out += '\\rput{180}('+self.coors.strphys2frameX(ticklabel)+', 1){\\majortickmarkx}\n'
	return out

	def draw_majorticklabel(self, value, label=''):
	if not label:
	label = self.get_ticklabel(value, int(self.description['LogX']) and self.coors.xmin() > 0 and self.coors.xmax() > 0)
	labelparts = label.split("\\n")
	labelcode = label if len(labelparts) == 1 else ("\\shortstack{" + "\\\\ ".join(labelparts) + "}")
	rtn = "\\rput(" + self.coors.strphys2frameX(value) + ", 0){\\rput[t](0,-\\labelsep){" + labelcode + "}}\n"
	return rtn



	class YTicks(Ticks):

	def draw(self, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True):
	twosided = bool(int(self.description.get('YTwosidedTicks', '0')))
	out = ""
	out += ('\n%\n% Y-Ticks\n%\n')
	out += ('\\def\\majortickmarky{\\psline[linewidth=%s](0,0)(%s,0)}%%\n' % (self.majorticklinewidth, self.majorticklength))
	out += ('\\def\\minortickmarky{\\psline[linewidth=%s](0,0)(%s,0)}%%\n' % (self.minorticklinewidth, self.minorticklength))
	uselog = self.description['LogY'] and self.coors.ymin() > 0 and self.coors.ymax() > 0
	out += self.draw_ticks(self.coors.ymin(), self.coors.ymax(),
	plotlog=uselog,
	custommajorticks=custommajorticks,
	customminorticks=customminorticks,
	custommajortickmarks=custommajortickmarks,
	customminortickmarks=customminortickmarks,
	twosided=twosided,
	drawlabels=drawlabels)
	return out

	def draw_minortick(self, ticklabel, twosided):
	out = ''
	out += '\\rput(0, '+self.coors.strphys2frameY(ticklabel)+'){\\minortickmarky}\n'
	if twosided:
	out += '\\rput{180}(1, '+self.coors.strphys2frameY(ticklabel)+'){\\minortickmarky}\n'
	return out

	def draw_majortick(self, ticklabel, twosided):
	out = ''
	out += '\\rput(0, '+self.coors.strphys2frameY(ticklabel)+'){\\majortickmarky}\n'
	if twosided:
	out += '\\rput{180}(1, '+self.coors.strphys2frameY(ticklabel)+'){\\majortickmarky}\n'
	return out

	def draw_majorticklabel(self, value, label=''):
	if not label:
	label = self.get_ticklabel(value, int(self.description['LogY']) and self.coors.ymin() > 0 and self.coors.ymax() > 0)
	if self.description.has_key('RatioPlotMode') and self.description['RatioPlotMode'] == 'deviation' and \
	self.description.has_key('RatioPlotStage') and self.description['RatioPlotStage']:
	rtn = '\\uput[180]{0}(0, '+self.coors.strphys2frameY(value)+'){\\strut{}'+label+'\\,$\\sigma$}\n'
	else:
	labelparts = label.split("\\n")
	labelcode = label if len(labelparts) == 1 else ("\\shortstack{" + "\\\\ ".join(labelparts) + "}")
	rtn = "\\rput(0, " + self.coors.strphys2frameY(value) + "){\\rput[r](-\\labelsep,0){" + labelcode + "}}\n"
	return rtn



	class ZTicks(Ticks):

	def __init__(self, description, coors):
	self.majorticklinewidth = '0.3pt'
	self.minorticklinewidth = '0.3pt'
	self.majorticklength = '6pt'
	self.minorticklength = '2.6pt'
	self.description = description
	self.coors = coors

	def draw(self, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True):
	out = ""
	out += ('\n%\n% Z-Ticks\n%\n')
	out += ('\\def\\majortickmarkz{\\psline[linewidth='+self.majorticklinewidth+'](0,0)('+self.majorticklength+',0)}%\n')
	out += ('\\def\\minortickmarkz{\\psline[linewidth='+self.minorticklinewidth+'](0,0)('+self.minorticklength+',0)}%\n')
	out += self.draw_ticks(self.coors.zmin(), self.coors.zmax(),\
	plotlog=self.description['LogZ'],\
	custommajorticks=custommajorticks,\
	customminorticks=customminorticks,\
	custommajortickmarks=custommajortickmarks,\
	customminortickmarks=customminortickmarks,\
	twosided=False,\
	drawlabels=drawlabels)
	return out

	def draw_minortick(self, ticklabel, twosided):
	return '\\rput{180}(1, '+self.coors.strphys2frameZ(ticklabel)+'){\\minortickmarkz}\n'

	def draw_majortick(self, ticklabel, twosided):
	return '\\rput{180}(1, '+self.coors.strphys2frameZ(ticklabel)+'){\\majortickmarkz}\n'

	def draw_majorticklabel(self, value, label=''):
	if label=='':
	label = self.get_ticklabel(value, int(self.description['LogZ']))
	if self.description.has_key('RatioPlotMode') and self.description['RatioPlotMode']=='deviation' \
	and self.description.has_key('RatioPlotStage') and self.description['RatioPlotStage']:
	return ('\\uput[0]{0}(1, '+self.coors.strphys2frameZ(value)+'){\\strut{}'+label+'\\,$\\sigma$}\n')
	else:
	return ('\\uput[0]{0}(1, '+self.coors.strphys2frameZ(value)+'){\\strut{}'+label+'}\n')



	class Coordinates(object):

	def __init__(self, inputdata):
	self.description = inputdata.description

	def phys2frameX(self, x):
	if self.description['LogX']:
	if x>0:
	result = 1.*(log10(x)-log10(self.xmin()))/(log10(self.xmax())-log10(self.xmin()))
	else:
	return -10
	else:
	result = 1.*(x-self.xmin())/(self.xmax()-self.xmin())
	if (fabs(result) < 1e-4):
	return 0
	else:
	return min(max(result,-10),10)

	def phys2frameY(self, y):
	if self.description['LogY']:
	if y > 0 and self.ymin() > 0 and self.ymax() > 0:
	result = 1.*(log10(y)-log10(self.ymin()))/(log10(self.ymax())-log10(self.ymin()))
	else:
	return -10
	else:
	result = 1.*(y-self.ymin())/(self.ymax()-self.ymin())
	if (fabs(result) < 1e-4):
	return 0
	else:
	return min(max(result,-10),10)

	def phys2frameZ(self, z):
	if self.description['LogZ']:
	if z>0:
	result = 1.*(log10(z)-log10(self.zmin()))/(log10(self.zmax())-log10(self.zmin()))
	else:
	return -10
	else:
	result = 1.*(z-self.zmin())/(self.zmax()-self.zmin())
	if (fabs(result) < 1e-4):
	return 0
	else:
	return min(max(result,-10),10)

	# TODO: Add frame2phys functions (to allow linear function sampling in the frame space rather than the physical space)

	def strphys2frameX(self, x):
	return str(self.phys2frameX(x))

	def strphys2frameY(self, y):
	return str(self.phys2frameY(y))

	def strphys2frameZ(self, z):
	return str(self.phys2frameZ(z))

	def xmin(self):
	return self.description['Borders'][0]

	def xmax(self):
	return self.description['Borders'][1]

	def ymin(self):
	return self.description['Borders'][2]

	def ymax(self):
	return self.description['Borders'][3]

	def zmin(self):
	return self.description['Borders'][4]

	def zmax(self):
	return self.description['Borders'][5]


	####################

	import shutil, subprocess

	def try_cmd(args):
	"Run the given command + args and return True/False if it succeeds or not"
	try:
	subprocess.check_output(args, stderr=subprocess.STDOUT)
	return True
	except:
	return False

	def have_cmd(cmd):
	return try_cmd(["which", cmd])



	####################


	if __name__ == '__main__':

	## Try to rename the process on Linux
	try:
	import ctypes
	libc = ctypes.cdll.LoadLibrary('libc.so.6')
	libc.prctl(15, 'make-plots', 0, 0, 0)
	except Exception:
	pass

	## Try to use Psyco optimiser
	try:
	import psyco
	psyco.full()
	except ImportError:
	pass

	## Find number of (virtual) processing units
	import multiprocessing
	try:
	numcores = multiprocessing.cpu_count()
	except:
	numcores = 1

	## Parse command line options
	from optparse import OptionParser, OptionGroup
	parser = OptionParser(usage=__doc__)
	parser.add_option("-j", "-n", "--num-threads", dest="NUM_THREADS", type="int",
	default=numcores, help="max number of threads to be used [%s]" % numcores)
	parser.add_option("-o", "--outdir", dest="OUTPUT_DIR", default=None,
	help="choose the output directory (default = .dat dir)")
	parser.add_option("--font", dest="OUTPUT_FONT", choices="palatino,cm,times,helvetica,minion".split(","),
	default="palatino", help="choose the font to be used in the plots")
	parser.add_option("--palatino", dest="OUTPUT_FONT", action="store_const", const="palatino", default="palatino",
	help="use Palatino as font (default). DEPRECATED: Use --font")
	parser.add_option("--cm", dest="OUTPUT_FONT", action="store_const", const="cm", default="palatino",
	help="use Computer Modern as font. DEPRECATED: Use --font")
	parser.add_option("--times", dest="OUTPUT_FONT", action="store_const", const="times", default="palatino",
	help="use Times as font. DEPRECATED: Use --font")
	parser.add_option("--minion", dest="OUTPUT_FONT", action="store_const", const="minion", default="palatino",
	help="use Adobe Minion Pro as font. Note: You need to set TEXMFHOME first. DEPRECATED: Use --font")
	parser.add_option("--helvetica", dest="OUTPUT_FONT", action="store_const", const="helvetica", default="palatino",
	help="use Helvetica as font. DEPRECATED: Use --font")
	parser.add_option("--format", dest="OUTPUT_FORMAT", default="PDF",
	help="choose plot format, perhaps multiple comma-separated formats e.g. 'pdf' or 'tex,pdf,png' (default = PDF).")
	parser.add_option("--ps", dest="OUTPUT_FORMAT", action="store_const", const="PS", default="PDF",
	help="create PostScript output (default). DEPRECATED")
	parser.add_option("--pdf", dest="OUTPUT_FORMAT", action="store_const", const="PDF", default="PDF",
	help="create PDF output. DEPRECATED")
	parser.add_option("--eps", dest="OUTPUT_FORMAT", action="store_const", const="EPS", default="PDF",
	help="create Encapsulated PostScript output. DEPRECATED")
	parser.add_option("--png", dest="OUTPUT_FORMAT", action="store_const", const="PNG", default="PDF",
	help="create PNG output. DEPRECATED")
	parser.add_option("--pspng", dest="OUTPUT_FORMAT", action="store_const", const="PS,PNG", default="PDF",
	help="create PS and PNG output. DEPRECATED")
	parser.add_option("--pdfpng", dest="OUTPUT_FORMAT", action="store_const", const="PDF,PNG", default="PDF",
	help="create PDF and PNG output. DEPRECATED")
	parser.add_option("--epspng", dest="OUTPUT_FORMAT", action="store_const", const="EPS,PNG", default="PDF",
	help="create EPS and PNG output. DEPRECATED")
	parser.add_option("--tex", dest="OUTPUT_FORMAT", action="store_const", const="TEX", default="PDF",
	help="create TeX/LaTeX output.")
	parser.add_option("--no-cleanup", dest="NO_CLEANUP", action="store_true", default=False,
	help="keep temporary directory and print its filename.")
	parser.add_option("--no-subproc", dest="NO_SUBPROC", action="store_true", default=False,
	help="don't use subprocesses to render the plots in parallel -- useful for debugging.")
	parser.add_option("--full-range", dest="FULL_RANGE", action="store_true", default=False,
	help="plot full y range in log-y plots.")
	parser.add_option("-c", "--config", dest="CONFIGFILES", action="append", default=None,
	help="plot config file to be used. Overrides internal config blocks.")
	verbgroup = OptionGroup(parser, "Verbosity control")
	verbgroup.add_option("-v", "--verbose", action="store_const", const=logging.DEBUG, dest="LOGLEVEL",
	default=logging.INFO, help="print debug (very verbose) messages")
	verbgroup.add_option("-q", "--quiet", action="store_const", const=logging.WARNING, dest="LOGLEVEL",
	default=logging.INFO, help="be very quiet")
	parser.add_option_group(verbgroup)
	opts, args = parser.parse_args()

	## Tweak the opts output
	logging.basicConfig(level=opts.LOGLEVEL, format="%(message)s")
	opts.OUTPUT_FONT = opts.OUTPUT_FONT.upper()
	opts.OUTPUT_FORMAT = opts.OUTPUT_FORMAT.upper().split(",")
	if opts.NUM_THREADS == 1:
	opts.NO_SUBPROC = True

	## Check for no args
	if len(args) == 0:
	logging.error(parser.get_usage())
	sys.exit(2)

	## Check that the files exist
	for f in args:
	if not os.access(f, os.R_OK):
	print "Error: cannot read from %s" % f
	sys.exit(1)

	## Test for external programs (kpsewhich, latex, dvips, ps2pdf/ps2eps, and convert)
	opts.LATEXPKGS = []
	if opts.OUTPUT_FORMAT != ["TEX"]:
	try:
	## latex
	if not have_cmd("pdflatex"):
	logging.error("ERROR: required program 'latex' could not be found. Exiting...")
	sys.exit(1)
	# ## dvips
	# if not have_cmd("dvips"):
	# logging.error("ERROR: required program 'dvips' could not be found. Exiting...")
	# sys.exit(1)

	# ## ps2pdf / ps2eps
	# if "PDF" in opts.OUTPUT_FORMAT:
	# if not have_cmd("ps2pdf"):
	# logging.error("ERROR: required program 'ps2pdf' (for PDF output) could not be found. Exiting...")
	# sys.exit(1)
	# elif "EPS" in opts.OUTPUT_FORMAT:
	# if not have_cmd("ps2eps"):
	# logging.error("ERROR: required program 'ps2eps' (for EPS output) could not be found. Exiting...")
	# sys.exit(1)

	## PNG output converter
	if "PNG" in opts.OUTPUT_FORMAT:
	if not have_cmd("convert"):
	logging.error("ERROR: required program 'convert' (for PNG output) could not be found. Exiting...")
	sys.exit(1)

	## kpsewhich: required for LaTeX package testing
	if not have_cmd("kpsewhich"):
	logging.warning("WARNING: required program 'kpsewhich' (for LaTeX package checks) could not be found")
	else:
	## Check minion font
	if opts.OUTPUT_FONT == "MINION":
	p = subprocess.Popen(["kpsewhich", "minion.sty"], stdout=subprocess.PIPE)
	p.wait()
	if p.returncode != 0:
	logging.warning('Warning: Using "--minion" requires minion.sty to be installed. Ignoring it.')
	opts.OUTPUT_FONT = "PALATINO"

	## Check for HEP LaTeX packages
	# TODO: remove HEP-specifics/non-standards?
	for pkg in ["hepnames", "hepunits", "underscore"]:
	p = subprocess.Popen(["kpsewhich", "%s.sty" % pkg], stdout=subprocess.PIPE)
	p.wait()
	if p.returncode == 0:
	opts.LATEXPKGS.append(pkg)

	## Check for Palatino old style figures and small caps
	if opts.OUTPUT_FONT == "PALATINO":
	p = subprocess.Popen(["kpsewhich", "ot1pplx.fd"], stdout=subprocess.PIPE)
	p.wait()
	if p.returncode == 0:
	opts.OUTPUT_FONT = "PALATINO_OSF"
	except Exception, e:
	logging.warning("Problem while testing for external packages. I'm going to try and continue without testing, but don't hold your breath...")

	# def init_worker():
	# import signal
	# signal.signal(signal.SIGINT, signal.SIG_IGN)

	## Run rendering jobs
	datfiles = args
	plotword = "plots" if len(datfiles) > 1 else "plot"
	logging.info("Making %d %s" % (len(datfiles), plotword))

	## Create a temporary directory
	tempdir = tempfile.mkdtemp('.make-plots')
	if opts.NO_CLEANUP:
	logging.info('Keeping temp-files in %s' % tempdir)

	## Create TeX file
	texpath = os.path.join(tempdir, 'plots.tex')
	texfile = open(texpath, 'w')
	# if inputdata.description.has_key('LeftMargin') and inputdata.description['LeftMargin']!='':
	# inputdata.description['LeftMargin'] = float(inputdata.description['LeftMargin'])
	# else:
	# inputdata.description['LeftMargin'] = 1.4
	# if inputdata.description.has_key('RightMargin') and inputdata.description['RightMargin']!='':
	# inputdata.description['RightMargin'] = float(inputdata.description['RightMargin'])
	# else:
	# inputdata.description['RightMargin'] = 0.35
	# if inputdata.description.has_key('TopMargin') and inputdata.description['TopMargin']!='':
	# inputdata.description['TopMargin'] = float(inputdata.description['TopMargin'])
	# else:
	# inputdata.description['TopMargin'] = 0.65
	# if inputdata.description.has_key('BottomMargin') and inputdata.description['BottomMargin']!='':
	# inputdata.description['BottomMargin'] = float(inputdata.description['BottomMargin'])
	# else:
	# inputdata.description['BottomMargin'] = 0.95
	# if inputdata.description['is2dim']:
	# inputdata.description['RightMargin'] += 1.7
	# papersizex = inputdata.description['PlotSizeX'] + 0.1 + \
	# inputdata.description['LeftMargin'] + inputdata.description['RightMargin']
	# papersizey = inputdata.description['PlotSizeY'] + inputdata.description['RatioPlotSizeY'] + 0.1 + \
	# inputdata.description['TopMargin'] + inputdata.description['BottomMargin']

	out = ""
	# out += '\\documentclass{article}\n'
	# out += '\\documentclass[pstricks,multi]{standalone}\n'
	out += '\\documentclass[multi=multipage,border=5]{standalone}\n'
	if opts.OUTPUT_FONT == "MINION":
	out += ('\\usepackage{minion}\n')
	elif opts.OUTPUT_FONT == "PALATINO_OSF":
	out += ('\\usepackage[osf,sc]{mathpazo}\n')
	elif opts.OUTPUT_FONT == "PALATINO":
	out += ('\\usepackage{mathpazo}\n')
	elif opts.OUTPUT_FONT == "TIMES":
	out += ('\\usepackage{mathptmx}\n')
	elif opts.OUTPUT_FONT == "HELVETICA":
	out += ('\\renewcommand{\\familydefault}{\\sfdefault}\n')
	out += ('\\usepackage{sfmath}\n')
	out += ('\\usepackage{helvet}\n')
	out += ('\\usepackage[symbolgreek]{mathastext}\n')
	for pkg in opts.LATEXPKGS:
	out += ('\\usepackage{%s}\n' % pkg)
	out += ('\\usepackage{pst-all}\n')
	out += ('\\usepackage{xcolor}\n')
	out += ('\\selectcolormodel{rgb}\n')
	out += ('\\definecolor{red}{HTML}{EE3311}\n') # (Google uses 'DC3912')
	out += ('\\definecolor{blue}{HTML}{3366FF}')
	out += ('\\definecolor{green}{HTML}{109618}')
	out += ('\\definecolor{orange}{HTML}{FF9900}')
	out += ('\\definecolor{lilac}{HTML}{990099}')
	out += ('\\usepackage{amsmath}\n')
	out += ('\\usepackage{amssymb}\n')
	out += ('\\usepackage{relsize}\n')
	# out += ('\\usepackage[dvips,\n')
	# out += (' left=%4.3fcm, right=0cm,\n' % (inputdata.description['LeftMargin']-0.45,))
	# out += (' top=%4.3fcm, bottom=0cm,\n' % (inputdata.description['TopMargin']-0.30,))
	# out += (' paperwidth=%scm,paperheight=%scm\n' % (papersizex,papersizey))
	# out += (']{geometry}\n')
	# out += ('\\usepackage[pdfcrop={--margins 10}]{auto-pst-pdf}\n')
	out += ('\\usepackage{auto-pst-pdf}\n')
	out += '\n'
	out += ('\\begin{document}\n')
	#out += ('\\pagestyle{empty}\n')
	out += ('\\SpecialCoor\n')
	texfile.write(out)

	## Process each datfile into the TeX doc
	filenames = []
	for i, datfile in enumerate(datfiles):
	if os.path.splitext(datfile)[1] != ".dat":
	raise Exception("Data file '%s' is not a make-plots .dat file" % datfile)
	if not os.access(datfile, os.R_OK):
	raise Exception("Could not read data file '%s'" % datfile)

	## Get std paths
	datpath = os.path.abspath(datfile)
	datfile = os.path.basename(datpath)
	datdir = os.path.dirname(datpath)
	outdir = opts.OUTPUT_DIR if opts.OUTPUT_DIR else datdir
	filename = datfile.replace('.dat','')
	filenames.append(filename)

	## Copy datfile into tempdir
	cwd = os.getcwd()
	tempdatpath = os.path.join(tempdir, datfile)
	shutil.copy(datpath, tempdir)

	## Append TeX to file
	inputdata = InputData(datpath)
	p = Plot(inputdata)
	texfile.write("\n\n")
	texfile.write(p.write_header(inputdata))
	if inputdata.attr_bool("MainPlot", True):
	mp = MainPlot(inputdata)
	texfile.write(mp.draw(inputdata))
	if not inputdata.attr_bool("is2dim", False) and inputdata.attr_bool("RatioPlot", True) and inputdata.attr("RatioPlotReference"): # is not None:
	rp = RatioPlot(inputdata)
	texfile.write(rp.draw(inputdata))
	texfile.write(p.write_footer())

	texfile.write('\\end{document}\n')
	texfile.close()

	+
	if opts.OUTPUT_FORMAT != ["TEX"]:

	## Change into the temp dir
	os.chdir(tempdir)

	## Check for the required programs
	pdflatexavailable = have_cmd("pdflatex")
	pdftkavailable = have_cmd("pdftk")
	convertavailable = have_cmd("convert")

	def mkpdf(infile, outfile=None):
	"Run pdfLaTeX (in non-stop mode)"
	if not pdflatexavailable:
	raise Exception("Required pdflatex not found")
	- logging.debug(os.listdir("."))
	+ #logging.debug(os.listdir("."))
	texcmd = ["pdflatex", "-shell-escape", "\scrollmode\input", texpath]
	logging.debug("TeX command: " + " ".join(texcmd))
	texproc = subprocess.Popen(texcmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) #, cwd=tempdir)
	logging.debug(texproc.communicate()[0])
	#texproc.wait()
	- logging.debug(os.listdir("."))
	rawoutfile = infile.replace(".tex", ".pdf")
	if outfile:
	+ logging.debug("Pre-move temp dir contents = ", os.listdir("."))
	shutil.move(rawoutfile, outfile)
	else:
	outfile = rawoutfile
	+ logging.debug("Temp dir contents = ", os.listdir("."))
	return outfile

	def splitpdf(infile, outfiles=None):
	"Split a PDF into a PDF per page, and rename if target names are given"
	if not pdftkavailable:
	raise Exception("Required PDF splitter (pdftk) not found")
	ptkcmd = ["pdftk", "plots.pdf", "burst", "output", "plots-%d.pdf"]
	- logging.debug(" ".join(ptkcmd))
	+ logging.debug("PDF split command = " + " ".join(ptkcmd))
	ptkproc = subprocess.Popen(ptkcmd, stdout=subprocess.PIPE) #, cwd=tempdir)
	ptkproc.wait()
	from glob import glob
	# picsfile = os.path.join(tempdir, "plots-pics.pdf")
	picsfile = "plots-pics.pdf"
	if os.path.exists(picsfile):
	os.remove(picsfile)
	- #print ['{0:0>10}'.format(os.path.basename(x).replace("plots-", "")) for x in glob(os.path.join(tempdir, "plots-*.pdf"))]
	+ #print ['{0:0>10}'.format(os.path.basename(x).replace("plots-", "")) for x in glob("plots-*.pdf")]
	rawoutfiles = sorted(glob("plots-*.pdf"), key=lambda x: '{0:0>10}'.format(x.replace("plots-", "")))
	if outfiles:
	#print len(rawoutfiles), rawoutfiles
	#print len(outfiles), outfiles
	assert len(rawoutfiles) == len(outfiles)
	+ logging.debug("Pre-move temp dir contents = ", os.listdir("."))
	for (tmp, final) in zip(rawoutfiles, outfiles):
	shutil.move(tmp, final)
	else:
	outfiles = rawoutfiles
	+ logging.debug("Temp dir contents = ", os.listdir("."))
	return outfiles

	def mkpng(infile, outfile=None, density=100):
	"Convert a PDF to PNG format"
	if not convertavailable:
	raise Exception("Required PNG maker program (convert) not found")
	if not outfile:
	outfile = infile.replace(".pdf", ".png")
	pngcmd = ["convert", "-flatten", "-density", str(density), infile, "-quality", "100", "-sharpen", "0x1.0", outfile]
	- logging.debug(" ".join(pngcmd))
	+ logging.debug("PDF -> PNG command = " + " ".join(pngcmd))
	pngproc = subprocess.Popen(pngcmd, stdout=subprocess.PIPE) #, cwd=tempdir)
	pngproc.wait()
	+ logging.debug("Temp dir contents = ", os.listdir("."))
	return outfile


	## Make the aggregated PDF and split it to the correct names
	pdf = mkpdf("plots.tex")
	pdfs = splitpdf(pdf, [x+".pdf" for x in filenames])

	## Convert the PDFs to PNGs if requested
	if "PNG" in opts.OUTPUT_FORMAT:
	for p in pdfs:
	mkpng(p)

	- ## Choose format
	- # if "PNG" in opts.OUTPUT_FORMAT:
	- # dvcmd.append("-f")
	- # logging.debug(" ".join(dvcmd))
	- # dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
	- # pngcmd = ["convert", "-flatten", "-density", "100", "-", "-quality", "100", "-sharpen", "0x1.0", "%s.png" % filename]
	- # logging.debug(" ".join(pngcmd))
	- # pngproc = subprocess.Popen(pngcmd, stdin=dvproc.stdout, stdout=subprocess.PIPE, cwd=tempdir)
	- # pngproc.wait()
	- logging.debug(os.listdir(tempdir))

	## Copy results back to main dir
	+ logging.debug("Temp dir contents = ", os.listdir(tempdir))
	for fmt in opts.OUTPUT_FORMAT:
	for filename in filenames:
	outname = "%s.%s" % (filename, fmt.lower())
	outpath = os.path.join(tempdir, outname)
	if os.path.exists(outpath):
	shutil.copy(outpath, outdir)
	else:
	logging.error("No output file '%s'" % outname) # from processing %s" % (outname, datfile))

	## Clean up
	if not opts.NO_CLEANUP:
	shutil.rmtree(tempdir, ignore_errors=True)



	# if opts.NO_SUBPROC:
	# init_worker()
	# for i, df in enumerate(datfiles):
	# logging.info("Plotting %s (%d/%d remaining)" % (df, len(datfiles)-i, len(datfiles)))
	# process_datfile(df)
	# else:
	# pool = multiprocessing.Pool(opts.NUM_THREADS, init_worker)
	# try:
	# for i, _ in enumerate(pool.imap(process_datfile, datfiles)):
	# logging.info("Plotting %s (%d/%d remaining)" % (datfiles[i], len(datfiles)-i, len(datfiles)))
	# pool.close()
	# except KeyboardInterrupt:
	# print "Caught KeyboardInterrupt, terminating workers"
	# pool.terminate()
	# pool.join()

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