コード例 #1
0
import asd as asd
import numpy as np
helper = helper.Helper()
costCov = costcov.Costcov()
dataSpreadsheetName = 'InputForCode_Bangladesh.xlsx'
timestep = 1. / 12.
numsteps = 180
ages = [
    "<1 month", "1-5 months", "6-11 months", "12-23 months", "24-59 months"
]
birthOutcomes = ["Pre-term SGA", "Pre-term AGA", "Term SGA", "Term AGA"]
wastingList = ["normal", "mild", "moderate", "high"]
stuntingList = ["normal", "mild", "moderate", "high"]
breastfeedingList = ["exclusive", "predominant", "partial", "none"]
keyList = [ages, birthOutcomes, wastingList, stuntingList, breastfeedingList]
spreadsheetData = dataCode.getDataFromSpreadsheet(dataSpreadsheetName, keyList)
mothers = helper.makePregnantWomen(spreadsheetData)
mothers['annualPercentPopGrowth'] = -0.01
ageGroupSpans = [1., 5., 6., 12., 36.]  # number of months in each age group
agingRateList = [
    1. / 1., 1. / 5., 1. / 6., 1. / 12., 1. / 36.
]  # fraction of people aging out per MONTH (WARNING use ageSpans to define this)
numAgeGroups = len(ages)
agePopSizes = helper.makeAgePopSizes(numAgeGroups, ageGroupSpans,
                                     spreadsheetData)
targetPopSize = {}
costCoverageInfo = {}
for intervention in spreadsheetData.interventionList:
    targetPopSize[intervention] = 0.
    costCoverageInfo[intervention] = {}
    for iAge in range(numAgeGroups):
コード例 #2
0
import pickle as pickle

import os, sys
moduleDir = os.path.join(os.path.dirname(__file__), '..')
sys.path.append(moduleDir)
import data
import helper
import output

country = 'Bangladesh'

helper = helper.Helper()

dataFilename = '../input_spreadsheets/%s/InputForCode_%s.xlsx'%(country, country)
inputData = data.getDataFromSpreadsheet(dataFilename, helper.keyList)

plotData = []
run=0

pickleFilename = '%s_Default.pkl'%(country)
nametag = "Baseline"
plotcolor = 'grey'
file = open(pickleFilename, 'rb')
modelList = []
while 1:
    try:
        modelList.append(pickle.load(file))
    except (EOFError):
        break
file.close()
コード例 #3
0
"""

import output as output
import pickle as pickle
import data as dataCode

country = 'Kenya'

ages = ["<1 month", "1-5 months", "6-11 months", "12-23 months", "24-59 months"]
birthOutcomes = ["Pre-term SGA", "Pre-term AGA", "Term SGA", "Term AGA"]
wastingList = ["normal", "mild", "moderate", "high"]
stuntingList = ["normal", "mild", "moderate", "high"]
breastfeedingList = ["exclusive", "predominant", "partial", "none"]
keyList = [ages, birthOutcomes, wastingList, stuntingList, breastfeedingList]
dataFilename = 'InputForCode_%s.xlsx'%(country)
spreadsheetData = dataCode.getDataFromSpreadsheet(dataFilename, keyList)

plotData = []
run=0

pickleFilename = '%s_Default.pkl'%(country)
nametag = "Baseline"
plotcolor = 'grey'
file = open(pickleFilename, 'rb')
modelList = []
while 1:
    try:
        modelList.append(pickle.load(file))
    except (EOFError):
        break
file.close()
コード例 #4
0
import os, sys

moduleDir = os.path.join(os.path.dirname(__file__), '..')
sys.path.append(moduleDir)
import data
import helper
import output

country = 'Bangladesh'

helper = helper.Helper()

dataFilename = '../input_spreadsheets/%s/InputForCode_%s.xlsx' % (country,
                                                                  country)
inputData = data.getDataFromSpreadsheet(dataFilename, helper.keyList)

plotData = []
run = 0

pickleFilename = '%s_Default.pkl' % (country)
nametag = "Baseline"
plotcolor = 'grey'
file = open(pickleFilename, 'rb')
modelList = []
while 1:
    try:
        modelList.append(pickle.load(file))
    except (EOFError):
        break
file.close()