# First-fit Decreasing approximation algorithm for Bin Packing
import math
import sys
import binModule
from time import time, clock
from binModule import Bin
print "\n\n"
# Get the capacity for the bins from the user
cap = binModule.getCap()
# Get the items from the user
items = binModule.getItems()
maxBins = len(items)
minBins = int(math.ceil(sum(items) / cap))
bins = []
print "Your items are:", items, "\nYour bins have capacity", cap, "\n"
print "MIN number of bins feasible:", int(minBins), "\nMAX number of bins (i.e. # items)", maxBins, "\n\n"
bins.append(Bin(cap, [])) # we need at least one bin to begin
t1 = clock()
items = sorted(items) # sort ascending
for item in reversed(items): # iterate through the list backwards
# Add the item to the first bin that can hold it
# If no bin can hold it, make a new bin
if item > cap:
# First-fit approximation algorithm for Bin Packing
import math
import sys
import binModule
from time import time, clock
from binModule import Bin
print "\n\n"
# Get the capacity for the bins from the user
cap = binModule.getCap()
# Get the items from the user
items = binModule.getItems()
maxBins = len(items)
minBins = int(math.ceil(sum(items) / cap))
bins = []
print "Your items are:", items, "\nYour bins have capacity", cap, "\n"
print "MIN number of bins feasible:", int(
minBins), "\nMAX number of bins (i.e. # items)", maxBins, "\n\n"
bins.append(Bin(cap, [])) # we need at least one bin to begin
t1 = clock()
for item in items:
# Add the item to the first bin that can hold it
# If no bin can hold it, make a new bin
if item > cap:
print "SOME ITEM WON'T EVEN FIT IN ITS OWN BIN! ABORTING"
sys.exit()
def main(): cap = binModule.getCap() allItems = binModule.getItems() solve_problem(cap, allItems)
