# Running in multi-thread
start = time.time()
experimentFolders = monet.listDirectoriesInPath(path)
Parallel(n_jobs=4)(delayed(monet.loadFolderAndWriteFactorialCSV)(
experimentString=folder,
path=path,
aggregationDictionary=aggregationDictionary,
ratiosDictionary=ratiosDictionary) for folder in experimentFolders)
end = time.time()
print(end - start)
###############################################################################
# Load and Compile CSVs into one
###############################################################################
outFilename = "A_" + filename + ".csv"
monet.compileFactorialCSVFromFiles(path, outFilename)
###############################################################################
# Load compiled CSV and analyze the output
###############################################################################
path = "/Users/sanchez.hmsc/Desktop/ThresholdDependent/"
centralFile = "50TX_1x_2018_09_01.csv"
sensitivitySelector = 1
if (sensitivitySelector == 1):
# 001 larval life decrease
# 002 larval life increase
title = "Larval Lifespan"
testFileA = "TSA_001.csv"
testFileB = "TSA_002.csv"
if (sensitivitySelector == 2):
# 010 adult life increase
# Factorial Experiment Example
###############################################################################
dataType = float
filename = 'WRYK'
#path = "/Users/sanchez.hmsc/Desktop/" + filename + "/"
path = "/Volumes/marshallShare/ThresholdResub/factorialSweep/"
experiment = "WolbachiaRemediation/ANALYZED/"
wildsList = [1, 1, 2, 2, 3, 3, 4, 5, 6, 1, 1, 2, 4, 4, 5, 7, 7, 8]
homingList = [4, 5, 6, 7, 7, 8, 8, 9, 9, 2, 3, 3, 5, 6, 6, 8, 9, 9]
aggregationDictionary = monet.generateAggregationDictionary(
["W", "H"], [[x - 1 for x in wildsList], [x - 1 for x in homingList]])
ratiosDictionary = {"numerator": [1], "denominator": [0, 1]}
###############################################################################
# Export Individual CSVs for Factorial Slots
###############################################################################
start = time.time()
experimentFolders = sorted(monet.listDirectoriesInPath(path + experiment))
Parallel(n_jobs=4)(delayed(monet.loadFolderAndWriteFactorialCSV)(
experimentString=folder,
path=path + experiment,
aggregationDictionary=aggregationDictionary,
ratiosDictionary=ratiosDictionary) for folder in experimentFolders)
end = time.time()
print((end - start) / 60)
###############################################################################
# Load and Compile CSVs into one
###############################################################################
outFilename = filename + ".csv"
monet.compileFactorialCSVFromFiles(path + experiment, outFilename)
