def __init__(self, ds, dataset_type='boxlib_native'):
self.dataset_type = dataset_type
self.header_filename = os.path.join(ds.output_dir, 'Header')
self.directory = ds.output_dir
GridIndex.__init__(self, ds, dataset_type)
self._cache_endianness(self.grids[-1])
def __init__(self, ds, dataset_type='boxlib_native'):
self.dataset_type = dataset_type
self.header_filename = os.path.join(ds.output_dir, 'Header')
self.directory = ds.output_dir
GridIndex.__init__(self, ds, dataset_type)
self._cache_endianness(self.grids[-1])
def __init__(self, ds, dataset_type=None):
self.dataset_type = dataset_type
self.float_type = 'float64'
self.dataset = weakref.proxy(ds) # for _obtain_enzo
self.float_type = self.enzo.hierarchy_information["GridLeftEdge"].dtype
self.directory = os.getcwd()
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type = None):
self.dataset_type = dataset_type
self.float_type = 'float64'
self.dataset = weakref.proxy(ds) # for _obtain_enzo
self.float_type = self.enzo.hierarchy_information["GridLeftEdge"].dtype
self.directory = os.getcwd()
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type='openPMD'):
self.dataset_type = dataset_type
# for now, the index file is the dataset!
self.dataset = ds
self.index_filename = ds.parameter_filename
self.directory = os.path.dirname(self.index_filename)
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type='openPMD'):
self.dataset_type = dataset_type
# for now, the index file is the dataset!
self.dataset = ds
self.index_filename = ds.parameter_filename
self.directory = os.path.dirname(self.index_filename)
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type='chombo_hdf5'):
self.domain_left_edge = ds.domain_left_edge
self.domain_right_edge = ds.domain_right_edge
self.dataset_type = dataset_type
if ds.dimensionality == 1:
self.dataset_type = "chombo1d_hdf5"
if ds.dimensionality == 2:
self.dataset_type = "chombo2d_hdf5"
self.field_indexes = {}
self.dataset = weakref.proxy(ds)
# for now, the index file is the dataset!
self.index_filename = os.path.abspath(self.dataset.parameter_filename)
self.directory = ds.fullpath
self._handle = ds._handle
self.float_type = self._handle['Chombo_global'].attrs[
'testReal'].dtype.name
self._levels = [
key for key in self._handle.keys() if key.startswith('level')
]
GridIndex.__init__(self, ds, dataset_type)
self._read_particles()
def __init__(self, ds, dataset_type=None):
self.dataset_type = dataset_type
self.float_type = "float64"
self.dataset = weakref.proxy(ds) # for _obtain_enzo
self.stream_handler = ds.stream_handler
self.float_type = "float64"
self.directory = os.getcwd()
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type="athena_pp"):
self.dataset = weakref.proxy(ds)
self.directory = os.path.dirname(self.dataset.filename)
self.dataset_type = dataset_type
# for now, the index file is the dataset!
self.index_filename = self.dataset.filename
self._handle = ds._handle
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type='grid_data_format'):
self.dataset = weakref.proxy(ds)
self.index_filename = self.dataset.parameter_filename
h5f = h5py.File(self.index_filename, mode='r')
self.dataset_type = dataset_type
GridIndex.__init__(self, ds, dataset_type)
self.directory = os.path.dirname(self.index_filename)
h5f.close()
def __init__(self, ds, dataset_type='skeleton'):
self.dataset_type = dataset_type
self.dataset = weakref.proxy(ds)
# for now, the index file is the dataset!
self.index_filename = self.dataset.parameter_filename
self.directory = os.path.dirname(self.index_filename)
# float type for the simulation edges and must be float64 now
self.float_type = np.float64
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type='grid_data_format'):
self.dataset = weakref.proxy(ds)
self.index_filename = self.dataset.parameter_filename
h5f = h5py.File(self.index_filename, 'r')
self.dataset_type = dataset_type
GridIndex.__init__(self, ds, dataset_type)
self.max_level = 10 # FIXME
self.directory = os.path.dirname(self.index_filename)
h5f.close()
def __init__(self, ds, dataset_type='gamer'):
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._handle = ds._handle
self.float_type = 'float64' # fixed even when FLOAT8 is off
self._particle_handle = ds._particle_handle
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type):
self.dataset_type = dataset_type
self.directory = os.path.dirname(ds.parameter_filename)
self.index_filename = ds.parameter_filename
if os.path.getsize(self.index_filename) == 0:
raise IOError(-1,"File empty", self.index_filename)
GridIndex.__init__(self, ds, dataset_type)
self.dataset.dataset_type = self.dataset_type
def __init__(self,ds,dataset_type='fits'):
self.dataset_type = dataset_type
self.field_indexes = {}
self.dataset = weakref.proxy(ds)
# for now, the index file is the dataset!
self.index_filename = self.dataset.parameter_filename
self.directory = os.path.dirname(self.index_filename)
self._handle = ds._handle
self.float_type = np.float64
GridIndex.__init__(self,ds,dataset_type)
def __init__(self, ds, dataset_type="fits"):
self.dataset_type = dataset_type
self.field_indexes = {}
self.dataset = weakref.proxy(ds)
# for now, the index file is the dataset
self.index_filename = self.dataset.parameter_filename
self.directory = os.path.dirname(self.index_filename)
self._handle = ds._handle
self.float_type = np.float64
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type="athena"):
self.dataset = weakref.proxy(ds)
self.directory = os.path.dirname(self.dataset.filename)
self.dataset_type = dataset_type
# for now, the index file is the dataset!
self.index_filename = os.path.join(os.getcwd(), self.dataset.filename)
self._fhandle = open(self.index_filename, "rb")
GridIndex.__init__(self, ds, dataset_type)
self._fhandle.close()
def __init__(self, ds, dataset_type='gamer'):
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._handle = ds._handle
self._group_grid = ds._group_grid
self._group_particle = ds._group_particle
self.float_type = 'float64' # fixed even when FLOAT8 is off
self._particle_handle = ds._particle_handle
self.refine_by = ds.refine_by
self.pgroup = self.refine_by**3 # number of patches in a patch group
GridIndex.__init__(self, ds, dataset_type)
def __init__(self, ds, dataset_type="athena"):
self.dataset = weakref.proxy(ds)
self.directory = os.path.dirname(self.dataset.filename)
self.dataset_type = dataset_type
# for now, the index file is the dataset!
self.index_filename = os.path.join(os.getcwd(), self.dataset.filename)
if PY2:
self._fhandle = file(self.index_filename, "rb")
else:
self._fhandle = open(self.index_filename, "rb")
GridIndex.__init__(self, ds, dataset_type)
self._fhandle.close()
def __init__(self,ds,dataset_type='pluto_hdf5'):
self.domain_left_edge = ds.domain_left_edge
self.domain_right_edge = ds.domain_right_edge
self.dataset_type = dataset_type
self.field_indexes = {}
self.dataset = weakref.proxy(ds)
self.index_filename = os.path.abspath(
self.dataset.parameter_filename)
self.directory = ds.fullpath
self._handle = ds._handle
self.float_type = self._handle['/level_0']['data:datatype=0'].dtype.name
self._levels = self._handle.keys()[2:]
GridIndex.__init__(self,ds,dataset_type)
def __init__(self, ds, dataset_type='chombo_hdf5'):
self.domain_left_edge = ds.domain_left_edge
self.domain_right_edge = ds.domain_right_edge
self.dataset_type = dataset_type
self.field_indexes = {}
self.dataset = weakref.proxy(ds)
# for now, the index file is the dataset!
self.index_filename = os.path.abspath(self.dataset.parameter_filename)
self.directory = ds.fullpath
self._handle = ds._handle
self._levels = [
key for key in self._handle.keys() if key.startswith('level')
]
GridIndex.__init__(self, ds, dataset_type)
self._read_particles()
def __init__(self, ds, dataset_type='chombo_hdf5'):
self.domain_left_edge = ds.domain_left_edge
self.domain_right_edge = ds.domain_right_edge
self.dataset_type = dataset_type
self.field_indexes = {}
self.dataset = weakref.proxy(ds)
# for now, the index file is the dataset!
self.index_filename = os.path.abspath(
self.dataset.parameter_filename)
self.directory = ds.fullpath
self._handle = ds._handle
tr = self._handle['Chombo_global'].attrs.get("testReal", "float32")
self._levels = [key for key in self._handle.keys() if key.startswith('level')]
GridIndex.__init__(self, ds, dataset_type)
self._read_particles()
def __init__(self, ds, dataset_type):
self.dataset_type = dataset_type
if ds.file_style is not None:
self._bn = ds.file_style
else:
self._bn = "%s.cpu%%04i"
self.index_filename = os.path.abspath(f"{ds.parameter_filename}.hierarchy")
if os.path.getsize(self.index_filename) == 0:
raise OSError(-1, "File empty", self.index_filename)
self.directory = os.path.dirname(self.index_filename)
# For some reason, r8 seems to want Float64
if "CompilerPrecision" in ds and ds["CompilerPrecision"] == "r4":
self.float_type = "float32"
else:
self.float_type = "float64"
GridIndex.__init__(self, ds, dataset_type)
# sync it back
self.dataset.dataset_type = self.dataset_type
def __init__(self, ds, dataset_type):
self.dataset_type = dataset_type
if ds.file_style != None:
self._bn = ds.file_style
else:
self._bn = "%s.cpu%%04i"
self.index_filename = os.path.abspath(
"%s.hierarchy" % (ds.parameter_filename))
if os.path.getsize(self.index_filename) == 0:
raise IOError(-1,"File empty", self.index_filename)
self.directory = os.path.dirname(self.index_filename)
# For some reason, r8 seems to want Float64
if "CompilerPrecision" in ds \
and ds["CompilerPrecision"] == "r4":
self.float_type = 'float32'
else:
self.float_type = 'float64'
GridIndex.__init__(self, ds, dataset_type)
# sync it back
self.dataset.dataset_type = self.dataset_type
def __init__(self, ds, dataset_type):
self.dataset_type = dataset_type
if ds.file_style != None:
self._bn = ds.file_style
else:
self._bn = "%s.cpu%%04i"
self.index_filename = os.path.abspath(
"%s.hierarchy" % (ds.parameter_filename))
if os.path.getsize(self.index_filename) == 0:
raise IOError(-1,"File empty", self.index_filename)
self.directory = os.path.dirname(self.index_filename)
# For some reason, r8 seems to want Float64
if ds.has_key("CompilerPrecision") \
and ds["CompilerPrecision"] == "r4":
self.float_type = 'float32'
else:
self.float_type = 'float64'
GridIndex.__init__(self, ds, dataset_type)
# sync it back
self.dataset.dataset_type = self.dataset_type
def __init__(self, ds, dataset_type="openPMD"):
self.dataset_type = dataset_type
self.dataset = ds
self.index_filename = ds.parameter_filename
self.directory = path.dirname(self.index_filename)
GridIndex.__init__(self, ds, dataset_type)
def _initialize_grid_arrays(self):
GridIndex._initialize_grid_arrays(self)
self.grid_procs = np.zeros((self.num_grids, 1), "int32")