def myProgram(filename, dan_tolerance=0.01):
dan_tolerance = 0.01
data = newt2keno(filename)
new_input = data[0]
compDataByMixtureID = data[1]
mixAssignmentsGivenParentMix = data[2]
parentMixGivenAssignedMix = data[3]
unitGeom = data[4]
unitsWithFuel = data[5]
arrayData = data[6]
fuelMixtures = data[7]
skipped_lat_loc = keno2mcdancoff(data, filename)
print filename + '.mcdan.danc*'
dancoffByLoc = getDancoff(filename + '.mcdan.danc*', skipped_lat_loc)
print len(dancoffByLoc.keys())
print dancoffByLoc.keys()
makeDancoffMap(dancoffByLoc, arrayData)
data = analyzeDancoffs(dancoffByLoc, arrayData, unitsWithFuel,
dan_tolerance, skipped_lat_loc)
arrayData = data[0]
unitsWithFuel = data[1]
makeDancoffMap(dancoffByLoc, arrayData)
print 'EVERYTHING RAN!!!'
def myProgram(filename,dan_tolerance=0.01): dan_tolerance = 0.01 data = newt2keno(filename) new_input = data[0] compDataByMixtureID = data[1] mixAssignmentsGivenParentMix = data[2] parentMixGivenAssignedMix = data[3] unitGeom = data[4] unitsWithFuel = data[5] arrayData = data[6] fuelMixtures = data[7] skipped_lat_loc = keno2mcdancoff(data,filename) print filename + '.mcdan.danc*' dancoffByLoc = getDancoff(filename + '.mcdan.danc*',skipped_lat_loc) print len(dancoffByLoc.keys()) print dancoffByLoc.keys() makeDancoffMap(dancoffByLoc,arrayData) data = analyzeDancoffs(dancoffByLoc,arrayData,unitsWithFuel,dan_tolerance,skipped_lat_loc) arrayData = data[0] unitsWithFuel = data[1] makeDancoffMap(dancoffByLoc,arrayData) print 'EVERYTHING RAN!!!'
import sys from stringSearch import findLineNum, findLineNumWithComments from newt2keno import newt2keno start = newt2keno(sys.argv[1]) #units = dancoffs.keys() #for unit in units: # print unit,dancoffs[unit]['dancoffs'][92235]," @location ",dancoffs[unit]['location'] print start
