def setup_app(): applist=[] for qualty in [100,20,90,80,50,30,40,10,70,60]: name = App() name.quality = qualty name.name = 'a'+str(qualty) applist.append(name) return applist
def setup_app(): applist = [] for qualty in [100, 20, 90, 80, 50, 30, 40, 10, 70, 60]: name = App() name.quality = qualty name.name = 'a' + str(qualty) applist.append(name) return applist
def setup_app(): applist=[] for qualty in [100,20,90,80,50,30,40,10,70,60, 25,95,85,55,35, 45, 15, 75, 65, 15, 10, 5, 1, 2, 3, 4, 5, 6, 7, 8, 9]: name = App() name.quality = qualty name.observed_1 = .8 name.observed_2 = 1.25 name.applied_to = 3 name.name = 'a'+str(qualty) applist.append(name) return applist
self.number_to_interview = 10 * tname.openings self.observe_1 = r.gauss(1, .2) self.observe_2 = tname.observe_2 = (r.gauss(1, .1)- tname.observe_1) self.observed_1 = r.gauss(1, .2) self.observed_2 = (r.gauss(1, .1)- tname.observed_1) # based on applicant interviewed, percentage self.num_to_rank = 7 * tname.openings self.accept_range = [.7, None] # as a % [.5, 1.5] if [.7, None] then there is no upper limit #Make the list of Applicants print('Make a list of Applicants') all_applicants = [] for x in range(1, 5000): tname = 'app'+str(x) tname = Applicant() tname.name = x # Comment out the Following to use defualt tname.quality = max(min(r.gauss(50, 20), 100), 1) # on a scale 0-100 tname.observe_1 = r.gauss(1, .2) # as a percentage, Applicant error in observing the institutions quality tname.observe_2 = (r.gauss(1, .1)- tname.observe_1) tname.observed_1 = r.gauss(1, .2) # as a percentage, Institutions error (as seen) in observing the applicants quality tname.observed_2 = (r.gauss(1, .1)- tname.observed_1) # CORRECT change to observed_1 after interview default = 1 tname.applied_to_range = [.8, 1.2] # as a percentage, for example [0.8, 1.2] tname.num_applied_to = 12 # the maximum number that the applicant applies to all_applicants.append(tname) #Add Applicant to the list of Applicants # Import institution mAtch data # Make the list of Institutions print('importing institution data') data2008 = InstitutionData('/Users/vmd/Dropbox/Match/residency-match-simulation/matchdata2008.csv', 140, 'C', 1)
import sys import random as r from applicant import Applicant from institution import Institution from importdata import InstitutionData from match import Match from results import StatsAndplots sys.path.append('/Users/vmd/Dropbox/Match/rms') print('Make a list of Applicants') all_applicants = [] for x in range(1, 5000): tname = Applicant() tname.name = str(x) ##### Comment out the Following to use defualt tname.quality = max(min(r.gauss(50, 20), 100), 1) # on a scale 0-100 tname.observe_1 = r.gauss( 1, .3 ) # as a percentage, Applicant error in observing the institutions quality tname.observe_2 = (r.gauss(1, .3) - tname.observe_1) tname.observed_1 = r.gauss( 1, .3 ) # as a percentage, Institutions error "as seen" in observing the applicants quality tname.observed_2 = ( r.gauss(1, .3) - tname.observed_1 ) # CORRECT change to observed_1 after interview default = 1 tname.applied_to_range = [.25, 1.75] # as a percentage, for example [0.8, 1.2] tname.num_applied_to = 12 # the maximum number that the applicant applies to tname.verbose = True