def test_invalid_type_attribute_with_multiple_lcs(self):
acs_test = AveragedCrossspectrum([self.lc1, self.lc2], [self.lc2, self.lc1], segment_size=1)
acs_test.type = "invalid_type"
with pytest.raises(ValueError):
assert AveragedCrossspectrum._make_crossspectrum(
acs_test, lc1=[self.lc1, self.lc2], lc2=[self.lc2, self.lc1]
)
def test_invalid_type_attribute(self):
with pytest.raises(ValueError):
cs_test = AveragedCrossspectrum(self.lc1, self.lc2, segment_size=1)
cs_test.type = 'invalid_type'
assert AveragedCrossspectrum._make_crossspectrum(cs_test,
self.lc1,
self.lc2)
def test_invalid_type_attribute(self):
with pytest.raises(ValueError):
cs_test = AveragedCrossspectrum(self.lc1, self.lc2, segment_size=1)
cs_test.type = 'invalid_type'
assert AveragedCrossspectrum._make_crossspectrum(cs_test,
self.lc1,
self.lc2)
def test_invalid_type_attribute_with_multiple_lcs(self):
acs_test = AveragedCrossspectrum([self.lc1, self.lc2],
[self.lc2, self.lc1],
segment_size=1)
acs_test.type = 'invalid_type'
with pytest.raises(ValueError):
assert AveragedCrossspectrum._make_crossspectrum(
acs_test, lc1=[self.lc1, self.lc2], lc2=[self.lc2, self.lc1])
def test_rebin_with_invalid_type_attribute(self):
new_df = 2
with pytest.warns(UserWarning) as record:
aps = AveragedCrossspectrum(lc1=self.lc1, lc2=self.lc2,
segment_size=1, norm='leahy')
aps.type = 'invalid_type'
with pytest.raises(ValueError):
assert aps.rebin(df=new_df, method=aps.type)
def test_invalid_type_attribute_with_multiple_lcs(self):
with pytest.warns(UserWarning) as record:
acs_test = AveragedCrossspectrum([self.lc1, self.lc2],
[self.lc2, self.lc1],
segment_size=1)
acs_test.type = 'invalid_type'
with pytest.raises(ValueError) as excinfo:
assert AveragedCrossspectrum._make_crossspectrum(
acs_test, [self.lc1, self.lc2], [self.lc2, self.lc1])
assert "Type of spectrum not recognized" in str(excinfo.value)
def test_rebin_with_invalid_type_attribute(self):
new_df = 2
with pytest.warns(UserWarning) as record:
aps = AveragedCrossspectrum(lc1=self.lc1,
lc2=self.lc2,
segment_size=1,
norm='leahy')
aps.type = 'invalid_type'
with pytest.raises(ValueError) as excinfo:
assert aps.rebin(df=new_df, method=aps.type)
assert "Method for summing or averaging not recognized. " in str(
excinfo.value)