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3 changes: 2 additions & 1 deletion nion/eels_analysis/BackgroundModel.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
import copy
import functools
import gettext
import math
import numpy
import scipy
import scipy.integrate
Expand Down Expand Up @@ -121,7 +122,7 @@ def __fit_background(self,
fs = numpy.linspace(interval_start, interval_end, n, dtype=numpy.float32)
if spectrum_xdata.is_navigable:
calibrations = list(copy.deepcopy(spectrum_xdata.navigation_dimensional_calibrations)) + [calibration]
yss = numpy.reshape(ys, (numpy.prod(ys.shape[:-1]),) + (ys.shape[-1],))
yss = numpy.reshape(ys, (math.prod(ys.shape[:-1]),) + (ys.shape[-1],))
fit_data = self._perform_fits(xs, yss, fs, es)
data_descriptor = DataAndMetadata.DataDescriptor(False, spectrum_xdata.navigation_dimension_count,
spectrum_xdata.datum_dimension_count)
Expand Down
3 changes: 2 additions & 1 deletion nion/eels_analysis/PeakModel.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
# imports
import copy
import gettext
import math
import numpy
import typing

Expand Down Expand Up @@ -33,7 +34,7 @@ def __fit_zero_loss_peak(self, spectrum_xdata: DataAndMetadata.DataAndMetadata)
ys = spectrum_xdata.data
if spectrum_xdata.is_navigable:
calibrations = list(copy.deepcopy(spectrum_xdata.navigation_dimensional_calibrations)) + [calibration]
yss = numpy.reshape(ys, (numpy.prod(ys.shape[:-1]),) + (ys.shape[-1],))
yss = numpy.reshape(ys, (math.prod(ys.shape[:-1]),) + (ys.shape[-1],))
fit_data = self._perform_fits(yss, z)
data_descriptor = DataAndMetadata.DataDescriptor(False, spectrum_xdata.navigation_dimension_count,
spectrum_xdata.datum_dimension_count)
Expand Down
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