def compute(self):
# Open file dialog
filename, selectedFilter = Qt.QFileDialog.getSaveFileName(
self,
"Save to",
os.path.join(os.getcwd(), "result.npy"),
"numpy array (*.npy)")
if filename == '':
return # Cancelled
# Retrieve parameters
ncells = int(self._nCellsLineEdit.text())
h = int(self._hLineEdit.text())
k = int(self._kLineEdit.text())
oversampling = int(self._oversamplingLineEdit.text())
# Run computation
result = laue.laue_image(ncells, h, k, oversampling)
# Display preview result
self._plot.setData(result)
# Save to file
numpy.save(filename, result)
def compute(self):
statusBar = self.statusBar()
statusBar.clearMessage()
# Open file dialog
filename, selectedFilter = Qt.QFileDialog.getSaveFileName(
self,
"Save to",
os.path.join(os.getcwd(), "result.npy"),
"numpy array (*.npy)")
if filename == '':
statusBar.showMessage("Cancelled", 5000)
return # Cancelled
# Retrieve parameters
ncells = int(self._nCellsLineEdit.text())
h = int(self._hLineEdit.text())
k = int(self._kLineEdit.text())
oversampling = int(self._oversamplingLineEdit.text())
# Run computation
result = laue.laue_image(ncells, h, k, oversampling)
# Save to file
numpy.save(filename, result)
statusBar.showMessage("Result saved to %s" % filename, 5000)
def compute(self):
# Retrieve parameters
ncells = int(self._nCellsLineEdit.text())
h = int(self._hLineEdit.text())
k = int(self._kLineEdit.text())
oversampling = int(self._oversamplingLineEdit.text())
# Run computation
self._result = laue.laue_image(ncells, h, k, oversampling)
self._savePushButton.setEnabled(True)
def compute(self):
# Open file dialog
filename, selectedFilter = Qt.QFileDialog.getSaveFileName(
self, "Save to", os.path.join(os.getcwd(), "result.npy"),
"numpy array (*.npy)")
if filename == '':
return # Cancelled
# Retrieve parameters
ncells = int(self._nCellsSpinBox.value())
h = int(self._hDoubleSpinBox.value())
k = int(self._kDoubleSpinBox.value())
oversampling = int(self._oversamplingSpinBox.value())
# Run computation
result = laue.laue_image(ncells, h, k, oversampling)
# Save to file
numpy.save(filename, result)
def run(self):
result = laue.laue_image(
self.ncells, self.h, self.k, self.oversampling)
self.callback(result)