imas.backends.netcdf.ids2nc.IDS2NC¶

class imas.backends.netcdf.ids2nc.IDS2NC(ids: IDSToplevel, group: Group)¶

Bases: IDSTensorizer

Class responsible for storing an IDS to a NetCDF file.

__init__(ids: IDSToplevel, group: Group)¶

Initialize IDS2NC converter.

Parameters:

ids: IDSToplevel¶

IDSToplevel to store in the netCDF group

group: Group¶

Empty netCDF group to store the IDS in.

Methods

__init__(ids, group)	Initialize IDS2NC converter.
collect_filled_data()	Collect all filled data in the IDS and determine dimension sizes.
create_dimensions()	Create netCDF dimensions.
create_variables()	Create netCDF variables.
determine_data_shapes()	Determine tensorized data shapes and sparsity, save in shapes.
filter_coordinates(path)	Filter the coordinates list from NCMetadata to filled variables only.
include_coordinate_paths()	Append all paths that are coordinates of self.paths_to_tensorize
run()	Store the IDS in the NetCDF group.
store_data()	Store data in the netCDF variables
tensorize(path, fillvalue)	Tensorizes the data at the given path with the specified fill value.

Attributes

group	NetCDF Group to store the IDS in.
ids	IDS to tensorize.
paths_to_tensorize	List of paths to tensorize
ncmeta	NetCDF related metadata.
dimension_size	Map dimension name to its size.
filled_data	Map of IDS paths to filled data nodes.
filled_variables	Set of filled IDS variables
homogeneous_time	True iff the IDS time mode is homogeneous.
shapes	Map of IDS paths to data shape arrays.

collect_filled_data() → None¶

Collect all filled data in the IDS and determine dimension sizes.

Results are stored in filled_data and dimension_size.

create_dimensions() → None¶

Create netCDF dimensions.

create_variables() → None¶

Create netCDF variables.

determine_data_shapes() → None¶

Determine tensorized data shapes and sparsity, save in shapes.

dimension_size¶

Map dimension name to its size.

filled_data¶

Map of IDS paths to filled data nodes.

filled_variables¶

Set of filled IDS variables

filter_coordinates(path: str) → str¶

Filter the coordinates list from NCMetadata to filled variables only.

group¶

NetCDF Group to store the IDS in.

homogeneous_time¶

True iff the IDS time mode is homogeneous.

ids¶

IDS to tensorize.

include_coordinate_paths() → None¶

Append all paths that are coordinates of self.paths_to_tensorize

ncmeta¶

NetCDF related metadata.

paths_to_tensorize¶

List of paths to tensorize

run() → None¶

Store the IDS in the NetCDF group.

shapes¶

Map of IDS paths to data shape arrays.

store_data() → None¶

Store data in the netCDF variables

tensorize(path, fillvalue)¶

Tensorizes the data at the given path with the specified fill value.

Parameters:

path¶

The path to the data in the IDS.

fillvalue¶

The value to fill the tensor with. Can be of any type, including strings.

Returns:

A tensor filled with the data from the specified path.