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
