def test_query_case_7(ds_setup, ds_datadir):
datadir = ds_datadir
stkname = '@' + '/'.join((datadir, 'pha.lis'))
datastack.load_pha(stkname)
f = datastack.query_by_header_keyword('INSTRUME', 'ACIS')
assert f == [1, 2]
f = datastack.query_by_obsid(7867)
assert f == [2]
ds = datastack.DataStack()
ds.load_pha(stkname)
f = ds.query_by_obsid('4938')
assert f == [3]
f = datastack.query_by_obsid(ds, '7867')
assert f == [4]
def test_show_stack(ds_setup, ds_datadir, capsys):
"""Test the show_stack and html representation for a stack
"""
# These files use MJD_OBS in the header
ls = '@' + '/'.join((ds_datadir, 'pha.lis'))
datastack.load_pha(ls)
# clear out the current output
captured = capsys.readouterr()
datastack.show_stack()
captured = capsys.readouterr()
lines = captured.out.split('\n')
assert len(lines) == 4
assert 'id|name|OBS_ID|MJD_OBS' in lines[0]
assert f'1|{ds_datadir}/acisf04938_000N002_r0043_pha3.fits|4938|53493.55' in lines[1]
assert f'2|{ds_datadir}/acisf07867_000N001_r0002_pha3.fits|7867|54374.00' in lines[2]
# Now, check the html representation
# We do not want to hard-code the exact html here to allow
# minor formatting changes without breaking this test since this
# test is not about format, but about content.
# So, we just test that a few token that we expect are present and other
# are not.
html = datastack.DATASTACK._repr_html_()
for token in ['datastack with 2 datasets',
'acisf04938_000N002_r0043_pha3.fits',
'acisf07867_000N001_r0002_pha3.fits',
'MJD_OBS', 'OBS_ID']:
assert token in html
for token in ['MJD-OBS', 'GRATING', 'INSTRUME']:
assert token not in html
def test_operations_datastack_group(ds_setup, ds_datadir):
'''We are testing one of several grouping schemes here.'''
datadir = ds_datadir
datastack.load_pha("myid", '/'.join((datadir, "3c273.pi")))
d1 = datastack.get_data('myid')
datastack.group_counts('myid', 5)
assert np.allclose(d1.get_dep(filter=True)[15:20], [5., 5., 6., 7., 10.])
datastack.ungroup('myid')
assert np.all(d1.get_dep(filter=True)[15:20] == [3., 7., 1., 6., 4.])
def test_show_stack(ds_setup, ds_datadir, capsys):
"""Test the show_stack handling: MJD_OBS
"""
# These files use MJD_OBS in the header
ls = '@' + '/'.join((ds_datadir, 'pha.lis'))
datastack.load_pha(ls)
validate_show_stack(capsys, ds_datadir, 'MJD_OBS', 'MJD_OBS')
def test_operations_datastack_subtract(ds_setup, ds_datadir):
datadir = ds_datadir
datastack.load_pha("myid", '/'.join((datadir, "3c273.pi")))
d1 = datastack.get_data('myid')
assert np.all(d1.get_dep()[15:20] == [3., 7., 1., 6., 4.])
datastack.subtract('myid')
assert np.allclose(d1.get_dep()[15:20], [2.86507936, 6.86507936, 1.,
6., 4.])
datastack.unsubtract('myid')
assert np.all(d1.get_dep()[15:20] == [3., 7., 1., 6., 4.])
def test_pha_case_6(ds_setup, ds_datadir):
datadir = ds_datadir
ls = '@' + '/'.join((datadir, 'pha.lis'))
rmf1 = '/'.join((datadir, "acisf04938_000N002_r0043_rmf3.fits"))
rmf2 = '/'.join((datadir, "acisf07867_000N001_r0002_rmf3.fits"))
arf1 = '/'.join((datadir, "acisf04938_000N002_r0043_arf3.fits"))
arf2 = '/'.join((datadir, "acisf07867_000N001_r0002_arf3.fits"))
datastack.load_pha(ls)
datastack.load_bkg_rmf([], rmf1)
datastack.load_bkg_rmf([], rmf2)
datastack.load_bkg_arf([], arf1)
datastack.load_bkg_arf([], arf2)
# Define background models
bkg_arfs = datastack.get_bkg_arf([])
bkg_scales = datastack.get_bkg_scale([])
bkg_models = [
ui.const1d.c1 * acis_bkg_model('acis7s'),
ui.const1d.c2 * acis_bkg_model('acis7s')
]
bkg_rsps = datastack.get_response([], bkg_id=1)
for i in range(2):
id_ = i + 1
# Make the ARF spectral response flat. This is required for using
# the acis_bkg_model.
bkg_arfs[i].specresp = bkg_arfs[i].specresp * 0 + 1.
datastack.set_bkg_full_model(id_, bkg_rsps[i](bkg_models[i]))
# Fit background
datastack.notice(0.5, 8.)
datastack.set_method("neldermead")
datastack.set_stat("cash")
datastack.thaw(c1.c0)
datastack.thaw(c2.c0)
datastack.fit_bkg()
datastack.freeze(c1.c0)
datastack.freeze(c2.c0)
# Define source models
rsps = datastack.get_response([])
src_model = ui.powlaw1d.pow1
src_models = [src_model, src_model * ui.const1d.ratio_12]
for i in range(2):
id_ = i + 1
datastack.set_full_model(id_,
(rsps[i](src_models[i]) +
bkg_scales[i] * bkg_rsps[i](bkg_models[i])))
datastack.fit()
def test_case_6(self):
datadir = '/'.join((self._this_dir, 'data'))
ls = '@'+'/'.join((datadir, 'pha.lis'))
rmf1 = '/'.join((datadir, "acisf04938_000N002_r0043_rmf3.fits"))
rmf2 = '/'.join((datadir, "acisf07867_000N001_r0002_rmf3.fits"))
arf1 = '/'.join((datadir, "acisf04938_000N002_r0043_arf3.fits"))
arf2 = '/'.join((datadir, "acisf07867_000N001_r0002_arf3.fits"))
datastack.load_pha(ls)
datastack.load_bkg_rmf([], rmf1)
datastack.load_bkg_rmf([], rmf2)
datastack.load_bkg_arf([], arf1)
datastack.load_bkg_arf([], arf2)
# Define background models
bkg_arfs = datastack.get_bkg_arf([])
bkg_scales = datastack.get_bkg_scale([])
bkg_models = [ui.const1d.c1 * acis_bkg_model('acis7s'),
ui.const1d.c2 * acis_bkg_model('acis7s')]
bkg_rsps = datastack.get_response([], bkg_id=1)
for i in range(2):
id_ = i + 1
# Make the ARF spectral response flat. This is required for using
# the acis_bkg_model.
bkg_arfs[i].specresp = bkg_arfs[i].specresp * 0 + 1.
datastack.set_bkg_full_model(id_, bkg_rsps[i](bkg_models[i]))
# Fit background
datastack.notice(0.5, 8.)
datastack.set_method("neldermead")
datastack.set_stat("cash")
datastack.thaw(c1.c0)
datastack.thaw(c2.c0)
datastack.fit_bkg()
datastack.freeze(c1.c0)
datastack.freeze(c2.c0)
# Define source models
rsps = datastack.get_response([])
src_model = ui.powlaw1d.pow1
src_models = [src_model,
src_model * ui.const1d.ratio_12]
for i in range(2):
id_ = i + 1
datastack.set_full_model(id_, (rsps[i](src_models[i]) +
bkg_scales[i] *
bkg_rsps[i](bkg_models[i])))
datastack.fit()
def test_show_stack4(ds_setup, ds_datadir, capsys):
"""Test the show_stack handling: No MJD_OBS or MJD-OBS keyword
"""
ls = '@' + '/'.join((ds_datadir, 'pha.lis'))
datastack.load_pha(ls)
# Remove the MJD-OBS keyword.
#
for idval in [1, 2]:
d = datastack.get_data(idval)
del d.header['MJD_OBS']
validate_show_stack(capsys, ds_datadir, None, None)
def test_show_stack3(ds_setup, ds_datadir, capsys):
"""Test the show_stack handling: mixed MJD_OBS and MJD-OBS
"""
# These files use MJD_OBS in the header
ls = '@' + '/'.join((ds_datadir, 'pha.lis'))
datastack.load_pha(ls)
# Change to MJD-OBS (second file only)
#
for idval in [2]:
d = datastack.get_data(idval)
mjdobs = d.header['MJD_OBS']
d.header['MJD-OBS'] = mjdobs
del d.header['MJD_OBS']
validate_show_stack(capsys, ds_datadir, 'MJD_OBS', 'MJD-OBS')
def test_show_stack2(ds_setup, ds_datadir, capsys):
"""Test the show_stack handling: MJD-OBS
This is test_show_stack but with the data files adjusted
to have MJD-OBS rather than MJD_OBS keywords
"""
# These files use MJD_OBS in the header
ls = '@' + '/'.join((ds_datadir, 'pha.lis'))
datastack.load_pha(ls)
# Change to MJD-OBS
#
for idval in [1, 2]:
d = datastack.get_data(idval)
mjdobs = d.header['MJD_OBS']
d.header['MJD-OBS'] = mjdobs
del d.header['MJD_OBS']
validate_show_stack(capsys, ds_datadir, 'MJD-OBS', 'MJD-OBS')
def test_case_7(self):
datastack.load_pha('@' + '/'.join((self._this_dir, 'data', 'pha.lis')))
f = datastack.query_by_header_keyword('INSTRUME', 'ACIS')
assert f == [1, 2]
f = datastack.query_by_obsid(7867)
assert f == [2]
ds = datastack.DataStack()
ds.load_pha('@' + '/'.join((self._this_dir, 'data', 'pha.lis')))
f = ds.query_by_obsid('4938')
assert f == [3]
f = datastack.query_by_obsid(ds, '7867')
assert f == [4]
def test_case_7(self):
datastack.load_pha('@'+'/'.join((self._this_dir, 'data', 'pha.lis')))
f = datastack.query_by_header_keyword('INSTRUME', 'ACIS')
assert f == [1,2]
f = datastack.query_by_obsid('7867')
assert f == [2]
ds = datastack.DataStack()
ds.load_pha('@'+'/'.join((self._this_dir, 'data', 'pha.lis')))
f = ds.query_by_obsid('4938')
assert f == [3]
f = datastack.query_by_obsid(ds, '7867')
assert f == [4]
def test_query_missing_keyword(ds_setup, ds_datadir):
"""What happens when the keyword does not exist?
This only checks a case where the keyword is missing in
both files.
"""
datadir = ds_datadir
stkname = '@' + '/'.join((datadir, 'pha.lis'))
# Note: since there is a conversion between float to string,
# there's a possibility this check may fail on some systems
#
key1 = 'EXPOSUR2'
val1 = '50441.752296469'
key2 = 'EXPOSUR7'
val2 = '21860.439777374'
datastack.load_pha(stkname)
f = datastack.query_by_header_keyword('MISSKEY', 'ACIS')
assert f == []
f = datastack.query_by_header_keyword(key1, val1)
assert f == [1]
f = datastack.query_by_header_keyword(key2, val2)
assert f == [2]
ds = datastack.DataStack()
ds.load_pha(stkname)
f = ds.query_by_header_keyword('MISSKEY', 'ACIS')
assert f == []
f = ds.query_by_header_keyword(key1, val1)
assert f == [3]
f = ds.query_by_header_keyword(key2, val2)
assert f == [4]
def test_case_1(self):
datadir = '/'.join((self._this_dir, 'data'))
ls = '@' + '/'.join((datadir, '3c273.lis'))
datastack.load_pha(ls, use_errors=True)
assert 2 == len(datastack.DATASTACK.datasets)
assert 2 == len(ui._session._data)
datastack.load_pha("myid", '/'.join((datadir, "3c273.pi")))
assert 2 == len(datastack.DATASTACK.datasets)
assert 3 == len(ui._session._data)
datastack.load_pha('/'.join((datadir, "3c273.pi")))
assert 3 == len(datastack.DATASTACK.datasets)
assert 4 == len(ui._session._data)
datastack.load_pha([], '/'.join((datadir, "3c273.pi")))
assert 4 == len(datastack.DATASTACK.datasets)
assert 5 == len(ui._session._data)
ds = datastack.DataStack()
datastack.load_pha(ds, ls)
assert 4 == len(datastack.DATASTACK.datasets)
assert 7 == len(ui._session._data)
assert 2 == len(ds.datasets)
datastack.load_pha(ds, '/'.join((datadir, "3c273.pi")))
assert 4 == len(datastack.DATASTACK.datasets)
assert 8 == len(ui._session._data)
assert 3 == len(ds.datasets)
dids = datastack.DATASTACK.get_stack_ids()
assert dids == [1, 2, 3, 4]
sids = set(ui._session._data.keys())
assert sids == {1, 2, 3, 4, 5, 6, 7, "myid"}
datastack.set_source([1, 2], "powlaw1d.pID")
datastack.set_source([3, 4], "brokenpowerlaw.bpID")
dsids = ds.get_stack_ids()
assert dsids == [5, 6, 7]
p1 = ui._session._model_components['p1']
p2 = ui._session._model_components['p2']
bp3 = ui._session._model_components['bp3']
bp4 = ui._session._model_components['bp4']
assert p1 is not None
assert p2 is not None
assert bp3 is not None
assert bp4 is not None
datastack.set_source(1, "polynom1d.poly1")
datastack.set_source([2, 3, 4], "atten.attID")
poly1 = ui._session._model_components['poly1']
a2 = ui._session._model_components['att2']
a3 = ui._session._model_components['att3']
a4 = ui._session._model_components['att4']
assert poly1 is not None
assert a2 is not None
assert a3 is not None
assert a4 is not None
datastack.clean()
assert 0 == len(datastack.DATASTACK.datasets)
assert 0 == len(ui._session._data)
assert 3 == len(ds.datasets)
def test_case_1(self):
datadir = '/'.join((self._this_dir, 'data'))
ls = '@'+'/'.join((datadir, '3c273.lis'))
datastack.load_pha(ls, use_errors=True)
assert 2 == len(datastack.DATASTACK.datasets)
assert 2 == len(ui._session._data)
datastack.load_pha("myid", '/'.join((datadir, "3c273.pi")))
assert 2 == len(datastack.DATASTACK.datasets)
assert 3 == len(ui._session._data)
datastack.load_pha('/'.join((datadir, "3c273.pi")))
assert 3 == len(datastack.DATASTACK.datasets)
assert 4 == len(ui._session._data)
datastack.load_pha([], '/'.join((datadir, "3c273.pi")))
assert 4 == len(datastack.DATASTACK.datasets)
assert 5 == len(ui._session._data)
ds = datastack.DataStack()
datastack.load_pha(ds, ls)
assert 4 == len(datastack.DATASTACK.datasets)
assert 7 == len(ui._session._data)
assert 2 == len(ds.datasets)
datastack.load_pha(ds, '/'.join((datadir, "3c273.pi")))
assert 4 == len(datastack.DATASTACK.datasets)
assert 8 == len(ui._session._data)
assert 3 == len(ds.datasets)
dids = datastack.DATASTACK.get_stack_ids()
assert dids == [1,2,3,4]
sids = ui._session._data.keys()
assert sids == [1,2,3,4,5,6,7, "myid"]
datastack.set_source([1,2], "powlaw1d.pID")
datastack.set_source([3,4], "brokenpowerlaw.bpID")
dsids = ds.get_stack_ids()
assert dsids == [5,6,7]
p1 = ui._session._model_components['p1']
p2 = ui._session._model_components['p2']
bp3 = ui._session._model_components['bp3']
bp4 = ui._session._model_components['bp4']
assert p1 is not None
assert p2 is not None
assert bp3 is not None
assert bp4 is not None
datastack.set_source(1, "polynom1d.poly1")
datastack.set_source([2,3,4], "atten.attID")
poly1 = ui._session._model_components['poly1']
a2 = ui._session._model_components['att2']
a3 = ui._session._model_components['att3']
a4 = ui._session._model_components['att4']
assert poly1 is not None
assert a2 is not None
assert a3 is not None
assert a4 is not None
datastack.clean()
assert 0 == len(datastack.DATASTACK.datasets)
assert 0 == len(ui._session._data)
assert 3 == len(ds.datasets)
