Commit 703d4048 authored by Martin Bauer's avatar Martin Bauer
Browse files

Coverage tests for pystencils.Field

parent 1534a936
......@@ -69,7 +69,7 @@ class BoundaryHandling:
@property
def boundary_objects(self):
return tuple(self._boundary_objectToName.keys())
return tuple(self._boundary_object_to_boundary_info.keys())
@property
def flag_array_name(self):
......@@ -97,21 +97,24 @@ class BoundaryHandling:
def set_boundary(self, boundary_obj, slice_obj=None, mask_callback=None,
ghost_layers=True, inner_ghost_layers=True, replace=True):
"""
Sets boundary using either a rectangular slice, a boolean mask or a combination of both
:param boundary_obj: instance of a boundary object that should be set
:param slice_obj: a slice object (can be created with make_slice[]) that selects a part of the domain where
the boundary should be set. If none, the complete domain is selected which makes only sense
if a mask_callback is passed. The slice can have ':' placeholders, which are interpreted
depending on the 'inner_ghost_layers' parameter i.e. if it is True, the slice extends
into the ghost layers
:param mask_callback: callback function getting x,y (z) parameters of the cell midpoints and returning a
boolean mask with True entries where boundary cells should be set.
The x, y, z arrays have 2D/3D shape such that they can be used directly
to create the boolean return array. i.e return x < 10 sets boundaries in cells with
midpoint x coordinate smaller than 10.
:param ghost_layers see DataHandling.iterate()
"""Sets boundary using either a rectangular slice, a boolean mask or a combination of both.
Args:
boundary_obj: instance of a boundary object that should be set
slice_obj: a slice object (can be created with make_slice[]) that selects a part of the domain where
the boundary should be set. If none, the complete domain is selected which makes only sense
if a mask_callback is passed. The slice can have ':' placeholders, which are interpreted
depending on the 'inner_ghost_layers' parameter i.e. if it is True, the slice extends
into the ghost layers
mask_callback: callback function getting x,y (z) parameters of the cell midpoints and returning a
boolean mask with True entries where boundary cells should be set.
The x, y, z arrays have 2D/3D shape such that they can be used directly
to create the boolean return array. i.e return x < 10 sets boundaries in cells with
midpoint x coordinate smaller than 10.
ghost_layers: see DataHandling.iterate()
inner_ghost_layers: see DataHandling.iterate()
replace: by default all other flags are erased in the cells where the boundary is set. To add a
boundary condition, set this replace flag to False
"""
if isinstance(boundary_obj, str) and boundary_obj.lower() == 'domain':
flag = self.flag_interface.domain_flag
......
......@@ -393,11 +393,7 @@ class Field(object):
@property
def offsets(self):
return self._offsets
@offsets.setter
def offsets(self, value):
self._offsets = value
return tuple(self._offsets)
@property
def required_ghost_layers(self):
......@@ -415,9 +411,6 @@ class Field(object):
def index(self):
return self._index
def get_neighbor(self, *offsets) -> 'Field.Access':
return Field.Access(self.field, offsets, self.index)
def neighbor(self, coord_id: int, offset: Sequence[int]) -> 'Field.Access':
offset_list = list(self.offsets)
offset_list[coord_id] += offset
......
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