def dm(self, dm):
"""
Set a new model perturbation.
Parameters
----------
dm : float or array
New model perturbation
"""
# Update the square slowness according to new value
if isinstance(dm, np.ndarray):
if not isinstance(self._dm, Function):
self._dm = self._gen_phys_param(dm, 'dm', self.space_order)
elif dm.shape == self.shape:
initialize_function(self._dm, dm, self.nbl)
elif dm.shape == self.dm.shape:
self.dm.data[:] = dm[:]
else:
raise ValueError("Incorrect input size %s for model of size" %
dm.shape + " %s without or %s with padding" %
(self.shape, self.dm.shape))
else:
try:
self._dm.data = dm
except AttributeError:
self._dm = dm
def _gen_phys_param(self,
field,
name,
space_order,
is_param=False,
default_value=0,
func=lambda x: x):
"""
Create symbolic object an initiliaze its data
"""
if field is None:
return func(default_value)
if isinstance(field, np.ndarray) and (name == 'm' or
np.min(field) != np.max(field)):
function = Function(name=name,
grid=self.grid,
space_order=space_order,
parameter=is_param)
if field.shape == self.shape:
initialize_function(function, func(field), self.padsizes)
else:
function._data_with_outhalo[:] = func(field)
else:
return func(np.min(field))
self._physical_parameters.append(name)
return function
def m(self, m):
"""
Set a new squared slowness model.
Parameters
----------
m : float or array
New squared slowness in s^2/km^2.
"""
# Update the square slowness according to new value
if isinstance(m, np.ndarray):
if m.shape == self.m.shape:
self.m.data[:] = m[:]
elif m.shape == self.shape:
initialize_function(self._m, m, self.nbl)
else:
raise ValueError("Incorrect input size %s for model of size" %
m.shape + " %s without or %s with padding" %
(self.shape, self.m.shape))
else:
self._m.data = m
def vp(self, vp):
"""
Set a new velocity model.
Parameters
----------
vp : float or array
New velocity in km/s.
"""
# Update the square slowness according to new value
if isinstance(vp, np.ndarray):
if vp.shape == self.vp.shape:
self.vp.data[:] = vp[:]
elif vp.shape == self.shape:
initialize_function(self._vp, vp, self.nbl)
else:
raise ValueError("Incorrect input size %s for model of size" % vp.shape +
" %s without or %s with padding" % (self.shape,
self.vp.shape))
else:
self._vp.data = vp
def _gen_phys_param(self,
field,
name,
space_order,
is_param=False,
default_value=0,
func=lambda x: x):
"""
Create symbolic object an initiliaze its data
"""
if field is None:
return default_value
if isinstance(field, np.ndarray):
function = Function(name=name,
grid=self.grid,
space_order=space_order,
parameter=is_param)
initialize_function(function, field, self.nbl)
else:
return field
self._physical_parameters.append(name)
return function