def _initialize_oct_handler(self):
"""
Just count the number of octs per domain and
allocate the requisite memory in the oct tree
"""
nv = len(self.fluid_field_list)
self.oct_handler = ARTOctreeContainer(
self.dataset.domain_dimensions / 2, # dd is # of root cells
self.dataset.domain_left_edge,
self.dataset.domain_right_edge,
1)
# The 1 here refers to domain_id == 1 always for ARTIO.
self.domains = [ARTDomainFile(self.dataset, nv, self.oct_handler, 1)]
self.octs_per_domain = [dom.level_count.sum() for dom in self.domains]
self.total_octs = sum(self.octs_per_domain)
mylog.debug("Allocating %s octs", self.total_octs)
self.oct_handler.allocate_domains(self.octs_per_domain)
domain = self.domains[0]
domain._read_amr_root(self.oct_handler)
domain._read_amr_level(self.oct_handler)
self.oct_handler.finalize()
def _initialize_oct_handler(self):
"""
Just count the number of octs per domain and
allocate the requisite memory in the oct tree
"""
nv = len(self.fluid_field_list)
self.oct_handler = ARTOctreeContainer(
self.dataset.domain_dimensions/2, # dd is # of root cells
self.dataset.domain_left_edge,
self.dataset.domain_right_edge,
1)
# The 1 here refers to domain_id == 1 always for ARTIO.
self.domains = [ARTDomainFile(self.dataset, nv,
self.oct_handler, 1)]
self.octs_per_domain = [dom.level_count.sum() for dom in
self.domains]
self.total_octs = sum(self.octs_per_domain)
mylog.debug("Allocating %s octs", self.total_octs)
self.oct_handler.allocate_domains(self.octs_per_domain)
domain = self.domains[0]
domain._read_amr_root(self.oct_handler)
domain._read_amr_level(self.oct_handler)
self.oct_handler.finalize()
class ARTIndex(OctreeIndex):
def __init__(self, ds, dataset_type="art"):
self.fluid_field_list = fluid_fields
self.dataset_type = dataset_type
self.dataset = weakref.proxy(ds)
self.index_filename = self.dataset.parameter_filename
self.directory = os.path.dirname(self.index_filename)
self.max_level = ds.max_level
self.float_type = np.float64
super(ARTIndex, self).__init__(ds, dataset_type)
def get_smallest_dx(self):
"""
Returns (in code units) the smallest cell size in the simulation.
"""
# Overloaded
ds = self.dataset
return (1.0 / ds.domain_dimensions.astype('f8') /
(2**self.max_level)).min()
def _initialize_oct_handler(self):
"""
Just count the number of octs per domain and
allocate the requisite memory in the oct tree
"""
nv = len(self.fluid_field_list)
self.oct_handler = ARTOctreeContainer(
self.dataset.domain_dimensions / 2, # dd is # of root cells
self.dataset.domain_left_edge,
self.dataset.domain_right_edge,
1)
# The 1 here refers to domain_id == 1 always for ARTIO.
self.domains = [ARTDomainFile(self.dataset, nv, self.oct_handler, 1)]
self.octs_per_domain = [dom.level_count.sum() for dom in self.domains]
self.total_octs = sum(self.octs_per_domain)
mylog.debug("Allocating %s octs", self.total_octs)
self.oct_handler.allocate_domains(self.octs_per_domain)
domain = self.domains[0]
domain._read_amr_root(self.oct_handler)
domain._read_amr_level(self.oct_handler)
self.oct_handler.finalize()
def _detect_output_fields(self):
self.particle_field_list = [f for f in particle_fields]
self.field_list = [("art", f) for f in fluid_fields]
# now generate all of the possible particle fields
for ptype in self.dataset.particle_types_raw:
for pfield in self.particle_field_list:
pfn = (ptype, pfield)
self.field_list.append(pfn)
def _identify_base_chunk(self, dobj):
"""
Take the passed in data source dobj, and use its embedded selector
to calculate the domain mask, build the reduced domain
subsets and oct counts. Attach this information to dobj.
"""
if getattr(dobj, "_chunk_info", None) is None:
# Get all octs within this oct handler
domains = [
dom for dom in self.domains if dom.included(dobj.selector)
]
base_region = getattr(dobj, "base_region", dobj)
if len(domains) > 1:
mylog.debug("Identified %s intersecting domains", len(domains))
subsets = [
ARTDomainSubset(base_region, domain, self.dataset)
for domain in domains
]
dobj._chunk_info = subsets
dobj._current_chunk = list(self._chunk_all(dobj))[0]
def _chunk_all(self, dobj):
oobjs = getattr(dobj._current_chunk, "objs", dobj._chunk_info)
# We pass the chunk both the current chunk and list of chunks,
# as well as the referring data source
yield YTDataChunk(dobj, "all", oobjs, None)
def _chunk_spatial(self, dobj, ngz, sort=None, preload_fields=None):
sobjs = getattr(dobj._current_chunk, "objs", dobj._chunk_info)
for i, og in enumerate(sobjs):
if ngz > 0:
g = og.retrieve_ghost_zones(ngz, [], smoothed=True)
else:
g = og
yield YTDataChunk(dobj, "spatial", [g], None)
def _chunk_io(self, dobj, cache=True, local_only=False):
"""
Since subsets are calculated per domain,
i.e. per file, yield each domain at a time to
organize by IO. We will eventually chunk out NMSU ART
to be level-by-level.
"""
oobjs = getattr(dobj._current_chunk, "objs", dobj._chunk_info)
for subset in oobjs:
yield YTDataChunk(dobj, "io", [subset], None, cache=cache)
class ARTIndex(OctreeIndex):
def __init__(self, ds, dataset_type="art"):
self.fluid_field_list = fluid_fields
self.dataset_type = dataset_type
self.dataset = weakref.proxy(ds)
self.index_filename = self.dataset.parameter_filename
self.directory = os.path.dirname(self.index_filename)
self.max_level = ds.max_level
self.float_type = np.float64
super(ARTIndex, self).__init__(ds, dataset_type)
def get_smallest_dx(self):
"""
Returns (in code units) the smallest cell size in the simulation.
"""
# Overloaded
ds = self.dataset
return (1.0/ds.domain_dimensions.astype('f8') /
(2**self.max_level)).min()
def _initialize_oct_handler(self):
"""
Just count the number of octs per domain and
allocate the requisite memory in the oct tree
"""
nv = len(self.fluid_field_list)
self.oct_handler = ARTOctreeContainer(
self.dataset.domain_dimensions/2, # dd is # of root cells
self.dataset.domain_left_edge,
self.dataset.domain_right_edge,
1)
# The 1 here refers to domain_id == 1 always for ARTIO.
self.domains = [ARTDomainFile(self.dataset, nv,
self.oct_handler, 1)]
self.octs_per_domain = [dom.level_count.sum() for dom in
self.domains]
self.total_octs = sum(self.octs_per_domain)
mylog.debug("Allocating %s octs", self.total_octs)
self.oct_handler.allocate_domains(self.octs_per_domain)
domain = self.domains[0]
domain._read_amr_root(self.oct_handler)
domain._read_amr_level(self.oct_handler)
self.oct_handler.finalize()
def _detect_output_fields(self):
self.particle_field_list = [f for f in particle_fields]
self.field_list = [("art", f) for f in fluid_fields]
# now generate all of the possible particle fields
for ptype in self.dataset.particle_types_raw:
for pfield in self.particle_field_list:
pfn = (ptype, pfield)
self.field_list.append(pfn)
def _identify_base_chunk(self, dobj):
"""
Take the passed in data source dobj, and use its embedded selector
to calculate the domain mask, build the reduced domain
subsets and oct counts. Attach this information to dobj.
"""
if getattr(dobj, "_chunk_info", None) is None:
# Get all octs within this oct handler
domains = [dom for dom in self.domains if
dom.included(dobj.selector)]
base_region = getattr(dobj, "base_region", dobj)
if len(domains) > 1:
mylog.debug("Identified %s intersecting domains", len(domains))
subsets = [ARTDomainSubset(base_region, domain, self.dataset)
for domain in domains]
dobj._chunk_info = subsets
dobj._current_chunk = list(self._chunk_all(dobj))[0]
def _chunk_all(self, dobj):
oobjs = getattr(dobj._current_chunk, "objs", dobj._chunk_info)
# We pass the chunk both the current chunk and list of chunks,
# as well as the referring data source
yield YTDataChunk(dobj, "all", oobjs, None)
def _chunk_spatial(self, dobj, ngz, sort = None, preload_fields = None):
sobjs = getattr(dobj._current_chunk, "objs", dobj._chunk_info)
for i,og in enumerate(sobjs):
if ngz > 0:
g = og.retrieve_ghost_zones(ngz, [], smoothed=True)
else:
g = og
yield YTDataChunk(dobj, "spatial", [g], None)
def _chunk_io(self, dobj, cache = True, local_only = False):
"""
Since subsets are calculated per domain,
i.e. per file, yield each domain at a time to
organize by IO. We will eventually chunk out NMSU ART
to be level-by-level.
"""
oobjs = getattr(dobj._current_chunk, "objs", dobj._chunk_info)
for subset in oobjs:
yield YTDataChunk(dobj, "io", [subset], None,
cache = cache)
