def testCheckParameters(self):
xsDataInputJesf = XSDataInputJesf()
numpyData = numpy.genfromtxt(
os.path.join(self.getPluginTestsDataHome(), "spectra.dat"))
xsDataArray = EDUtilsArray.arrayToXSData(numpyData)
xsDataInputJesf.setData(xsDataArray)
#print xsDataInputJesf.marshal()
xsDataInputJesf.exportToFile(
os.path.join(self.getPluginTestsDataHome(),
"XSDataInputJesfv1_0_reference.xml"))
edPluginExecJesf = self.createPlugin()
edPluginExecJesf.setDataInput(xsDataInputJesf)
edPluginExecJesf.checkParameters()
def launchJesfPlugins(self, _numpyDataArray, _numpyEnergyCalibrationArray):
listEdPluginExecJesf = []
(iNoRows, iNoColumns) = _numpyDataArray.shape
# Loop through all the columns of self.numpyInputArray
for iColumn in range(iNoColumns):
# Load the execution plugin
edPluginExecJesf = self.loadPlugin(self.strJesfPluginName)
numpyArrayInputJesf = numpy.ndarray((iNoRows, 2))
numpyArrayInputJesf[:, 0] = _numpyEnergyCalibrationArray
numpyArrayInputJesf[:, 1] = _numpyDataArray[:, iColumn]
# print numpyArrayInputJesf
xsDataInputJesf = XSDataInputJesf()
xsDataInputJesf.data = EDUtilsArray.arrayToXSData(
numpyArrayInputJesf)
# print xsDataInputJesf.marshal()
edPluginExecJesf.dataInput = xsDataInputJesf
# self.edPluginExecJesf.executeSynchronous()
listEdPluginExecJesf.append([iColumn, edPluginExecJesf])
edPluginExecJesf.execute()
# Synchronize all jobs
self.screen("Synchronizing Jesf jobs")
for listPlugin in listEdPluginExecJesf:
listPlugin[1].synchronize()
return listEdPluginExecJesf
