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#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2019 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#############################################################################*/
__author__ = "Wout De Nolf"
__contact__ = "wout.de_nolf@esrf.eu"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import os
from PyMca5.PyMcaIO.OutputBuffer import OutputBuffer as OutputBufferBase
class OutputBuffer(OutputBufferBase):
def __init__(self, saveResiduals=False, saveFit=False, saveData=False,
diagnostics=False, saveFOM=False, **kwargs):
super(OutputBuffer, self).__init__(**kwargs)
self.fileProcessDefault = 'xrf_fit'
self._defaultgroups = 'molarconcentrations', 'massfractions', 'parameters'
self._defaultorder = 'molarconcentrations', 'massfractions', 'parameters', 'uncertainties'
self._optionalimage = 'chisq',
self.saveResiduals = saveResiduals
self.saveFit = saveFit
self.saveData = saveData
self.saveFOM = saveFOM
if not self.diagnostics:
# None of the above diagnostics
# are enabled specifically
self.diagnostics = diagnostics
self.labelFormat('uncertainties', 's')
self.labelFormat('massfractions', 'w')
self.labelFormat('molarconcentrations', 'mM')
@property
def saveFOM(self):
# For all non-hdf5 formats: FOM needs to be in
# self._optionalimage to be saved
return self._saveFOM
@saveFOM.setter
def saveFOM(self, value):
self._checkBufferContext()
self._saveFOM = value
@property
def saveData(self):
return self._saveData and self.h5
@saveData.setter
def saveData(self, value):
self._checkBufferContext()
self._saveData = value
@property
def saveFit(self):
return self._saveFit and self.h5
@saveFit.setter
def saveFit(self, value):
self._checkBufferContext()
self._saveFit = value
@property
def saveResiduals(self):
return self._saveResiduals and self.h5
@saveResiduals.setter
def saveResiduals(self, value):
self._checkBufferContext()
self._saveResiduals = value
@property
def saveDataDiagnostics(self):
return self.saveResiduals or self.saveFit or self.saveData
@property
def diagnostics(self):
return self.saveDataDiagnostics or self.saveFOM
@diagnostics.setter
def diagnostics(self, value):
self.saveResiduals = value
self.saveFit = value
self.saveData = value
self.saveFOM = value
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