def __init__(self, name, xlo, xhi, x1, x2, y, shape=None, staterror=None,
syserror=None):
self._lo = xlo
self._hi = xhi
self._x1 = x1
self._x2 = x2
BaseData.__init__(self)
def __init__(self, name, x0lo, x1lo, x2lo, x0hi, x1hi, x2hi, y, shape=None,
staterror=None, syserror=None):
self._x0lo = x0lo
self._x1lo = x1lo
self._x2lo = x2lo
self._x0hi = x0hi
self._x1hi = x1hi
self._x2hi = x2hi
BaseData.__init__(self)
def notice(self,
x0lo=None,
x0hi=None,
x1lo=None,
x1hi=None,
x2lo=None,
x2hi=None,
ignore=False):
BaseData.notice(self, (x0lo, x1lo, x2lo), (x0hi, x1hi, x2hi),
self.get_indep(), ignore)
def __init__(self, name, x, y, bkg, staterror=None, bkg_scale=1, src_scale=1):
self._bkg = np.asanyarray(bkg)
self._bkg_scale = src_scale
self.exposure = 1
self.subtracted = False
self._backgrounds = [BkgDataset(bkg, bkg_scale)]
BaseData.__init__(self)
self.x = x
self.y = y
self.staterror = staterror
def __init__(self, name, x, y, bkg, staterror=None, bkg_scale=1, src_scale=1):
self._bkg = np.asanyarray(bkg)
self._bkg_scale = src_scale
self.exposure = 1
self.subtracted = False
self._backgrounds = [BkgDataset(bkg, bkg_scale)]
BaseData.__init__(self)
self.x = x
self.y = y
self.staterror = staterror
def __init__(self, name, xlo, xhi, ylo, yhi, z, bkg, staterror=None, bkg_scale=1, src_scale=1):
self._bkg = np.asanyarray(bkg)
self._bkg_scale = src_scale
self.exposure = 1
self.subtracted = False
self._backgrounds = [BkgDataset(bkg, bkg_scale)]
BaseData.__init__(self)
self.xlo = xlo
self.xhi = xhi
self.ylo = ylo
self.yhi = yhi
self.z = z
self.staterror = staterror
def __init__(self, name, xlo, xhi, ylo, yhi, z, bkg, staterror=None, bkg_scale=1, src_scale=1):
self._bkg = np.asanyarray(bkg)
self._bkg_scale = src_scale
self.exposure = 1
self.subtracted = False
self._backgrounds = [BkgDataset(bkg, bkg_scale)]
BaseData.__init__(self)
self.xlo = xlo
self.xhi = xhi
self.ylo = ylo
self.yhi = yhi
self.z = z
self.staterror = staterror
def __init__(self,
name,
x0lo,
x1lo,
x2lo,
x0hi,
x1hi,
x2hi,
y,
shape=None,
staterror=None,
syserror=None):
self._x0lo = x0lo
self._x1lo = x1lo
self._x2lo = x2lo
self._x0hi = x0hi
self._x1hi = x1hi
self._x2hi = x2hi
BaseData.__init__(self)
def __init__(self, gp_data, name='GPData'):
# sherpa does some magic here: it sets class attributes from constructor
# arguments so `gp_data` will be available later on the instance.
self._data_dummy = np.empty_like(gp_data.e_ref)
BaseData.__init__(self)
def test_base_data_instantiation():
with pytest.raises(NotImplementedErr):
BaseData()
def __init__(self, gp_data, name='GPData'):
# sherpa does some magic here: it sets class attributes from constructor
# arguments so `gp-data` will be available later on the instance.
self._data_dummy = np.empty_like(gp_data.e_ref)
BaseData.__init__(self)
def __init__(self, name='fermi_data_shim'):
# TODO: need dummy? simplify?
self.dep = np.array([42]) # Dummy
self.indep = np.array([42]) # Dummy
BaseData.__init__(self)
def notice(self, x0lo=None, x0hi=None, x1lo=None, x1hi=None, x2lo=None, x2hi=None, ignore=False):
BaseData.notice(self, (x0lo, x1lo, x2lo), (x0hi, x1hi, x2hi), self.get_indep(),
ignore)
