httomo.loaders.standard_tomo_loader.StandardTomoLoader

class httomo.loaders.standard_tomo_loader.StandardTomoLoader(in_file: Path, data_path: str, image_key_path: str | None, darks: DarksFlatsFileConfig, flats: DarksFlatsFileConfig, angles: RawAngles | UserDefinedAngles, preview_config: PreviewConfig, slicing_dim: Literal[0, 1, 2], comm: mpi4py.MPI.Comm, padding: Tuple[int, int] = (0, 0))

Loads an individual block at a time from raw data instead of an entire chunk.

Methods

__init__(in_file, data_path, image_key_path, ...)
finalize()	Method intended to be called after reading all blocks is done, to give implementations a chance to close files, free memory, etc.
read_block(start, length)	Reads a block from the dataset, starting at start of length length, in the current slicing dimension.

Attributes

aux_data	Auxiliary data
chunk_shape	Returns the shape of a chunk, i.e. the data processed in the current MPI process (whether it fits in memory or not).
darks
dtype
flats
global_index	Returns the start index of the chunk within the global data array
global_shape	Global data shape across all processes that we eventually have to read.
raw_shape	Returns raw data shape
slicing_dim	Slicing dimension - 0, 1, or 2

property aux_data: AuxiliaryData

Auxiliary data

property chunk_shape: Tuple[int, int, int]

Returns the shape of a chunk, i.e. the data processed in the current MPI process (whether it fits in memory or not)

property darks: ndarray | cupy.ndarray | None

property dtype: dtype

finalize()

Method intended to be called after reading all blocks is done, to give implementations a chance to close files, free memory, etc.

property flats: ndarray | cupy.ndarray | None

property global_index: Tuple[int, int, int]

Returns the start index of the chunk within the global data array

property global_shape: Tuple[int, int, int]

Global data shape across all processes that we eventually have to read.

property raw_shape: Tuple[int, int, int]

Returns raw data shape

read_block(start: int, length: int) → DataSetBlock

Reads a block from the dataset, starting at start of length length, in the current slicing dimension. Note that start is chunk-based, i.e. mean different things in different processes.

property slicing_dim: Literal[0, 1, 2]

Slicing dimension - 0, 1, or 2