def __init__(self,
value,
params=None,
name="default",
label=None,
measure="default",
cell_domains=None,
facet_domains=None,
indicator=None):
self.dI = _init_measure(measure, cell_domains, facet_domains,
indicator)
if label is None:
label = _init_label(self.dI)
MetaField.__init__(self, value, params, name, label)
def default_params(cls):
"""
Default parameters are:
+----------------------+-----------------------+-------------------------------------------------------------------------------------------+
|Key | Default value | Description |
+======================+=======================+===========================================================================================+
| broadcast_results | True | Broadcast results from compute to all processes. If False, |
| | | result is ony returned on process 0 |
+----------------------+-----------------------+-------------------------------------------------------------------------------------------+
"""
params = MetaField.default_params()
params.update(
broadcast_results=True,
)
return params
def default_params(cls):
"""
Default parameters are:
+----------------------+-----------------------+-------------------------------------------------------------------------------------------+
|Key | Default value | Description |
+======================+=======================+===========================================================================================+
| norm_type | 'default' | The norm type to choose. For dolfin.Function or dolfin.Vector, |
| | | refer to dolfin.norm for valid norm types. Otherwise, p-norm is |
| | | supported. Invoke using 'l2', 'l3' etc, or 'linf' for max-norm. |
+----------------------+-----------------------+-------------------------------------------------------------------------------------------+
"""
params = MetaField.default_params()
params.update(norm_type='default', )
return params
def __init__(self, value, points, params=None, name="default", label=None):
MetaField.__init__(self, value, params, name, label)
self.points = points
self._ft = import_fenicstools()
def __init__(self, field, submesh, params={}, name="default", label=None):
MetaField.__init__(self, field, params, name, label)
self.submesh = submesh
def __init__(self, field, mesh, *args, **kwargs):
MetaField.__init__(self, field, *args, **kwargs)
self.mesh = mesh
def default_params(cls):
params = MetaField.default_params()
params.update(
finalize=True,
)
return params