def simulateBears(numYears):
from BearClass import Bear
from BearPopulationClass_tryNotN2 import BearPopulation
import networkx as nx
# Create the starting population
# Make some "bear gods" to use as the parents for the progenitors
beargod1 = Bear('bg1','M',None, None)
beargod2 = Bear('bg2','M',None, None)
beargod3 = Bear('bg3','F',None, None)
adam = Bear('Adam', 'M',beargod1,beargod1)
eve = Bear('Eve', 'F',beargod2,beargod2)
mary = Bear('Mary', 'F',beargod3,beargod3)
year = 0
numBornInFirst100Years = 0
# keep track of the number of males and females created
#nMale = 1
#nFemale = 2
# Create a bear population from the progenitors
progenitors = [adam, eve, mary]
population = BearPopulation(progenitors)
# Start stepping through time
years = range(1,numYears+1)
for year in years:
# print "It is now the year: %s" %(year)
# First things first: each bear gets a year older
population.ageBears()
# Now, what happens as the bears age
# First, check if any bears died and add them to the part of the population
# that has died
population.checkForDead(year)
# for bear in population.allBears:
# print bear
# Create a list of bears that are capable of procreating
population.checkIfCanBang(year)
numBornThisYear = population.generateOffspring(year)
if year <= 100:
numBornInFirst100Years += numBornThisYear
# nMale += newM
# nFemale += newF
# Print the size of the population each year
# print "Number of bears in population after %s years: %s" %(year, \
# len(population.allBears) )
# for bear in population.canProcreate:
# print bear
# Print the bear population
#for bear in population.allBears:
# print bear
print "Final Number of Bears after %i Years: %s" \
%(numYears, len(population.allBears))
if len(population.allBears) <= 1500:
nx.draw_circular(population.tree)
return numBornInFirst100Years, len(population.allBears)
def simulateBears(numYears):
'''This function simulates the propagation of a bear population from three
starting bears. The functionality includes the mating of bears and the
removal of dead bears. The mating occurs only every 5 years (according
to the problem prompt, but this can be changed). The function returns
the number of bears alive after the set simulation time, as well as the
number of bears born within the first 100 years (or x years if x < 100 '''
from BearClass import Bear
from BearPopulationClass_tryNotN2 import BearPopulation
import networkx as nx
# Create the starting population
# Make some "bear gods" to use as the parents for the progenitors
beargod1 = Bear('bg1','M',None, None)
beargod2 = Bear('bg2','M',None, None)
beargod3 = Bear('bg3','F',None, None)
adam = Bear('Adam', 'M',beargod1,beargod1)
eve = Bear('Eve', 'F',beargod2,beargod2)
mary = Bear('Mary', 'F',beargod3,beargod3)
year = 0
numBornInFirst100Years = 0
# Create a bear population from the progenitors
progenitors = [adam, eve, mary]
population = BearPopulation(progenitors)
# Start stepping through time
years = range(1,numYears+1)
for year in years:
# print "It is now the year: %s" %(year)
# First things first: each bear gets a year older
population.ageBears()
population.checkForDead(year)
# Create a list of bears that are capable of procreating
population.checkIfCanBang(year)
# Generate off-spring and keep track of how many are born per year
numBornThisYear = population.generateOffspring(year)
if year <= 100:
numBornInFirst100Years += numBornThisYear
# Print the size of the population each year
# print "Number of bears in population after %s years: %s" %(year, \
# len(population.allBears) )
print "Final Number of Bears after %i Years: %s" \
%(numYears, len(population.allBears))
# Print the genealogy tree of the bears. This is only done if there is a
# relatively small number of bears otherwise the graph becomes pretty
# hard to read
if len(population.allBears) <= 1500:
nx.draw_circular(population.tree)
return numBornInFirst100Years, len(population.allBears)