AskModule.py

from scipy import exp
import os
import WindowScalingInfo as WS
reload(WS)
import SloppyScaling
reload(SloppyScaling)
import Utils
reload(Utils)


name = 'A_s' # This is the name used in the files

Xname = 's'
XscaledName = 'Ss'
Xscaled = "s*(1.0*k/L)**(sigma_k*(1.+zeta))"
XscaledTeX = r'$s (k/L)^{(1+\zeta) \sigma_k}$'

Yname = 'Ask' # This must be the name of the module !!!!!!!!!
Ytheory = " Ss**(2.-tau) * (1./s) * exp(-Ss**ns*Ixs)"
Yscaled = "Ss **(tau-2.) * s * Ask"
YscaledTeX = \
   r'$(s (k/L)^{\sigma_k (1+\zeta)})^{-(2-\tau)} s {\cal{A}}_{s}$'

title = 'A(s,k,L): Area covered by avalanches of size s'
scalingTitle = 'A(s,k,L) scaling function'


#
# Include corrections
#
Ytheory_corrections = "exp(Ah1/s+Ah2/s**2)"
#*exp(Uh1*(h*k**(zeta*sigma_k)) + Uh2/(h*k**(zeta*sigma_k)))"

parameterNames = "tau,sigma_k,zeta,Ixs,ns"
parameterNames_corrections = "Ah1,Ah2"
initialParameterValues = (1.2,0.4,0.6,1.0,1.4)
initialParameterValues_corrections = (0.,0.,)

# Correct if spaces are included in the parameters names
parameterNames = parameterNames.replace(" ","")
parameterNames_corrections = parameterNames_corrections.replace(" ","")

if WS.corrections_to_scaling:
    Ytheory = Ytheory + "*" + Ytheory_corrections
    parameterNames = parameterNames + "," + parameterNames_corrections
    initialParameterValues = initialParameterValues + initialParameterValues_corrections



# If single independent parameter, must have comma after it -- makes it a tuple
theory = SloppyScaling.ScalingTheory(Ytheory, parameterNames, \
                initialParameterValues, WS.independentNames, \
                scalingX = Xscaled, scalingY = Yscaled, \
                scalingXTeX = XscaledTeX, \
                scalingYTeX = YscaledTeX, \
                title = title, \
                scalingTitle = scalingTitle, \
                Xname=Xname, XscaledName=XscaledName, \
                Yname=Yname, \
                normalization = WS.normalization)

data = SloppyScaling.Data()

loaded = 0
for independent in WS.independentValues:
    L, k = independent
    ext =  "_" + WS.simulType + ".bnd"
    if os.getlogin() == 'yj':
        k_string = "_k"
    else:
        k_string = "_k="
    fileName = "".join([WS.dataDirectory,name,\
                        k_string,str(k), "_System_Size=",str(2*L), "x", str(L), ext])
    success = data.InstallCurve(independent, fileName, \
        pointSymbol=WS.Symbol[independent], \
        pointColor=WS.Color[independent], \
        initialSkip = WS.rows_to_skip)
    loaded += success

nFiles = len(WS.independentValues)
if loaded ==  nFiles:
    print "Loaded %2d/%2d files (%s)" % (loaded, nFiles, name)
else:
    print "====================="
    print "Attention! %2d/%2d files are missing (%s)" %  (nFiles-loaded, nFiles, name)
    print "====================="

f = __file__
f = f.split("/")[-1]
thisModule = f.split('Module.py')[0]
exec(thisModule + "= SloppyScaling.Model(theory, data, name, WS.sortedValues)")