def teardown(self):
pha = self.pha
rmf = self.rmf
self.channel = sao_arange(1, rmf.detchans)
self.mask = numpy.ones(rmf.detchans, dtype=bool)
self.model.teardown()
CompositeModel.teardown(self)
def teardown(self):
pha = self.pha
rmf = self.rmf
self.channel = sao_arange(1, rmf.detchans)
self.mask = numpy.ones(rmf.detchans, dtype=bool)
self.model.teardown()
CompositeModel.teardown(self)
def startup(self, cache):
pha = self.pha
pha.notice_response(False)
self.channel = pha.get_noticed_channels()
self.mask = pha.get_mask()
self.model.startup(cache)
CompositeModel.startup(self, cache)
def startup(self):
pha = self.pha
pha.notice_response(False)
self.channel = pha.get_noticed_channels()
self.mask = pha.get_mask()
self.model.startup()
CompositeModel.startup(self)
def __init__(self, srcdata, bkgmodels):
self.srcdata = srcdata
self.bkgmodels = bkgmodels
scale_factor = self.srcdata.sum_background_data(lambda key, bkg:1)
bkgnames = [model.name for model in bkgmodels.values()]
name = '%g * (' % scale_factor + ' + '.join(bkgnames) + ')'
CompositeModel.__init__(self, name, self.bkgmodels.values())
def __init__(self, model, wrapper):
self.model = self.wrapobj(model)
self.wrapper = wrapper
CompositeModel.__init__(self,
"{}({})".format(self.wrapper.name,
self.model.name),
(self.wrapper, self.model))
def __init__(self, srcdata, bkgmodels):
self.srcdata = srcdata
self.bkgmodels = bkgmodels
scale_factor = self.srcdata.sum_background_data(lambda key, bkg: 1)
bkgnames = [model.name for model in bkgmodels.values()]
name = '%g * (' % scale_factor + ' + '.join(bkgnames) + ')'
CompositeModel.__init__(self, name, self.bkgmodels.values())
def startup(self):
pha = self.pha
if numpy.iterable(pha.mask):
pha.notice_response(True)
self.channel = pha.get_noticed_channels()
self.mask = pha.get_mask()
self._get_noticed_energy_list()
CompositeModel.startup(self)
def startup(self, cache):
pha = self.pha
if numpy.iterable(pha.mask):
pha.notice_response(True)
self.channel = pha.get_noticed_channels()
self.mask = pha.get_mask()
self._get_noticed_energy_list()
CompositeModel.startup(self, cache)
def teardown(self):
pha = self.pha
if numpy.iterable(pha.mask):
pha.notice_response(False)
self.channel = pha.channel
self.mask = numpy.ones(len(pha.channel), dtype=bool)
self.elo = None; self.ehi = None; self.table = None
self.lo = None; self.hi = None
CompositeModel.teardown(self)
def teardown(self):
pha = self.pha
if numpy.iterable(pha.mask):
pha.notice_response(False)
self.channel = pha.channel
self.mask = numpy.ones(len(pha.channel), dtype=bool)
self.elo = None
self.ehi = None
self.table = None
self.lo = None
self.hi = None
CompositeModel.teardown(self)
def __init__(self, rmf, model, pha=None):
self.pha = pha
self.channel = sao_arange(1, rmf.detchans) # sao_arange is inclusive
self.mask = numpy.ones(rmf.detchans, dtype=bool)
self.rmf = rmf
self.elo, self.ehi = rmf.get_indep()
self.lo, self.hi = DataPHA._hc / self.ehi, DataPHA._hc / self.elo
self.model = model
self.otherargs = None
self.otherkwargs = None
self.pars = ()
CompositeModel.__init__(self,
('%s(%s)' % ('apply_rmf', self.model.name)),
(self.model, ))
def __init__(self, rmf, model, pha=None):
self.pha = pha
self.channel = sao_arange(1, rmf.detchans) # sao_arange is inclusive
self.mask = numpy.ones(rmf.detchans, dtype=bool)
self.rmf = rmf
self.elo, self.ehi = rmf.get_indep()
self.lo, self.hi = DataPHA._hc / self.ehi, DataPHA._hc / self.elo
self.model = model
self.otherargs = None
self.otherkwargs = None
self.pars = ()
CompositeModel.__init__(self,
('%s(%s)' % ('apply_rmf', self.model.name)),
(self.model,))
def __init__(self, arf, model):
self.arf = arf
self.model = model
self.elo = None; self.ehi = None # Energy space
self.lo = None; self.hi = None # Wavelength space
self.xlo = None; self.xhi = None # Current Spectral coordinates
# Used to rebin against finer or coarser energy grids
self.arfargs = ()
# Logic for ArithmeticModel.__init__
self.pars = ()
CompositeModel.__init__(self, 'apply_arf(%s)' % model.name, (model,))
self.filter()
def teardown(self):
# Note:
#
# The pha variable was declared but not used, so has been commented
# out. It has been kept as a comment for future review, since it
# is unclear whether anything should be done to the PHA object
# during teardown
#
# pha = self.pha
rmf = self.rmf
self.channel = sao_arange(1, rmf.detchans)
self.mask = numpy.ones(rmf.detchans, dtype=bool)
self.model.teardown()
CompositeModel.teardown(self)
def __init__(self, rmf, model):
self.rmf = rmf
self.model = model
# Logic for ArithmeticModel.__init__
self.pars = ()
# FIXME: group pairs of coordinates with one attribute
self.elo = None; self.ehi = None # Energy space
self.lo = None; self.hi = None # Wavelength space
self.xlo = None; self.xhi = None # Current Spectral coordinates
# Used to rebin against finer or coarser energy grids
self.rmfargs = ()
CompositeModel.__init__(self, 'apply_rmf(%s)' % model.name, (model,))
self.filter()
def __init__(self, arf, model):
self.arf = arf
self.model = model
self.elo = None
self.ehi = None # Energy space
self.lo = None
self.hi = None # Wavelength space
self.xlo = None
self.xhi = None # Current Spectral coordinates
# Used to rebin against finer or coarser energy grids
self.arfargs = ()
# Logic for ArithmeticModel.__init__
self.pars = ()
CompositeModel.__init__(self, 'apply_arf(%s)' % model.name, (model, ))
self.filter()
def __init__(self, rmf, model):
self.rmf = rmf
self.model = model
# Logic for ArithmeticModel.__init__
self.pars = ()
# FIXME: group pairs of coordinates with one attribute
self.elo = None
self.ehi = None # Energy space
self.lo = None
self.hi = None # Wavelength space
self.xlo = None
self.xhi = None # Current Spectral coordinates
# Used to rebin against finer or coarser energy grids
self.rmfargs = ()
CompositeModel.__init__(self, 'apply_rmf(%s)' % model.name, (model, ))
self.filter()
def __init__(self, source, pha):
self.channel = pha.channel
self.mask = numpy.ones(len(pha.channel), dtype=bool)
self.pha = pha
self.source = source
self.elo = None
self.ehi = None
self.lo = None
self.hi = None
self.table = None
self.orders = None
models = []
grid = []
for id in pha.response_ids:
arf, rmf = pha.get_response(id)
if arf is None and rmf is None:
raise DataErr('norsp', pha.name)
m = ResponseNestedModel(arf, rmf)
indep = None
if arf is not None:
indep = arf.get_indep()
if rmf is not None:
indep = rmf.get_indep()
models.append(m)
grid.append(indep)
self.models = models
self.grid = grid
name = '%s(%s)' % (type(self).__name__,
','.join(['%s(%s)' % (m.name, source.name)
for m in models]))
CompositeModel.__init__(self, name, (source,))
def __init__(self, source, pha):
self.channel = pha.channel
self.mask = numpy.ones(len(pha.channel), dtype=bool)
self.pha = pha
self.source = source
self.elo = None
self.ehi = None
self.lo = None
self.hi = None
self.table = None
self.orders = None
models = []
grid = []
for id in pha.response_ids:
arf, rmf = pha.get_response(id)
if arf is None and rmf is None:
raise DataErr('norsp', pha.name)
m = ResponseNestedModel(arf, rmf)
indep = None
if arf is not None:
indep = arf.get_indep()
if rmf is not None:
indep = rmf.get_indep()
models.append(m)
grid.append(indep)
self.models = models
self.grid = grid
name = '%s(%s)' % (type(self).__name__, ','.join(
['%s(%s)' % (m.name, source.name) for m in models]))
CompositeModel.__init__(self, name, (source, ))
def __init__(self, model, wrapper):
self.model = self.wrapobj(model)
self.wrapper = wrapper
CompositeModel.__init__(
self, "{}({})".format(self.wrapper.name, self.model.name),
(self.wrapper, self.model))
def startup(self):
self.model.startup()
CompositeModel.startup(self)
def teardown(self):
self.model.teardown()
CompositeModel.teardown(self)
def startup(self):
self.model.startup()
CompositeModel.startup(self)
def startup(self, cache):
self.model.startup(cache)
CompositeModel.startup(self, cache)
def teardown(self):
self.model.teardown()
CompositeModel.teardown(self)