def prepare():
fit_interface.ResetFitterParameters()
hdtv.options.Set("table", "classic")
hdtv.options.Set("uncertainties", "short")
spectra.Clear()
yield
spectra.Clear()
fit_interface.ResetFitterParameters()
def prepare(request):
fit_interface.ResetFitterParameters()
# original_wd = os.path.abspath(os.path.join(__file__, os.pardir))
original_wd = os.getcwd()
os.chdir(original_wd)
yield
os.chdir(original_wd)
session.Clear()
def prepare():
fit_interface.ResetFitterParameters()
hdtv.options.Set("table", "classic")
hdtv.options.Set("uncertainties", "short")
for _ in range(3):
spec_interface.LoadSpectra(testspectrum)
spectra.ActivateObject("0")
yield
spectra.Clear()
def prepare():
fit_interface.ResetFitterParameters()
hdtv.options.Set("table", "classic")
hdtv.options.Set("uncertainties", "short")
spec_interface.LoadSpectra(testspectrum)
for i in range(5):
spec_interface.LoadSpectra(testspectrum)
spectra.Get(str(i)).cal = [0, (i + 1) * 0.5]
yield
spectra.Clear()
def prepare():
fit_interface.ResetFitterParameters()
hdtv.options.Set("table", "classic")
hdtv.options.Set("uncertainties", "short")
spec_interface.LoadSpectra(testspectrum)
yield
spectra.Clear()
bins_h1 = linspace(0.5, NBINS + 0.5, NBINS)
spectrum_h1 = BG_PER_BIN * ones(NBINS)
spectrum_h1 = spectrum_h1 + PEAK_VOLUME * norm.pdf(
bins_h1, loc=0.5 * NBINS, scale=PEAK_WIDTH)
savetxt(testspectrum_h1, spectrum_h1)
bins_h2 = linspace(0.5, NBINS + 0.5, int(0.5 * NBINS))
spectrum_h2 = 0.5 * BG_PER_BIN * ones(int(0.5 * NBINS))
spectrum_h2 = spectrum_h2 + 2. * PEAK_VOLUME * norm.pdf(
bins_h2, loc=0.5 * NBINS, scale=PEAK_WIDTH)
savetxt(testspectrum_h2, spectrum_h2)
