ewoksid02.id02_format.ID02ProcessedFileHS32

class ewoksid02.id02_format.ID02ProcessedFileHS32(headers=None, *args, **kwargs)

Bases: ID02FormatFile

Parameters:

headers (dict)

CHUNK_SIZE_3D = (1, 200, 200)

COMPRESSION_ALGORITHM = <hdf5plugin._filters.Bitshuffle object>

DATASET_SIGMA_NAME = 'data_errors'

DATASET_SIGNAL_NAME = 'data'

DATASET_VARIANCE_NAME = 'data_variance'

ENTRY_NAME = '/entry_0000'

FORMAT_EWOKS_PROCESS_TITLE = '{index:02} - {class_name}'

FORMAT_HS32C = 'int64'

FORMAT_HS32F = 'float64'

FORMAT_HS32N = dtype('O')

FORMAT_HS32V = 'float64'

FORMAT_HS32Z = 'float64'

FORMAT_STRING = dtype('O')

KEY_DELTA_TIME = 'delta_time'

KEY_DELTA_TIME_NXDATA = 't'

KEY_EXPOSURE_TIME = 'ExposureTime'

KEY_I0_SHUTCOR = 'Intensity0ShutCor'

KEY_I0_UNCOR = 'Intensity0UnCor'

KEY_I1_SHUTCOR = 'Intensity1ShutCor'

KEY_I1_UNCOR = 'Intensity1UnCor'

KEY_TITLEEXTENSION = 'TitleExtension'

MCS_INTERPRETED = 'interpreted'

MCS_RAW_NAME = 'raw'

MCS_SUBSCAN1 = 'subscan_1'

MCS_SUBSCAN2 = 'subscan_2'

NXCOLLECTION_EWOKS_HISTORY_NAME = 'history'

NXCOLLECTION_EWOKS_LASTPROCESS_NAME = 'last_process'

NXCOLLECTION_EWOKS_NAME = 'ewoks'

NXCOLLECTION_MCS_NAME = 'MCS'

NXCOLLECTION_PARAMETERS_NAME = 'parameters'

NXCOLLECTION_TFG_NAME = 'TFG'

NXDATA_NAME_TEMPLATE = 'result_{processing_type}'

NXNOTE_CONFIGURATION_NAME = 'configuration'

NXPROCESS_PYFAI_NAME = 'PyFAI'

NXPROCESS_TRUSAXS_NAME = 'TRUSAXS'

property configuration_group: Group

property configuration_path: str

create_group(*args, **kwargs)

create_h5_group(h5_group_path, title=None, **kwargs)

Unified method to create a group in a HDF5 file with additional attributes.

h5_parent_group: h5py.Group - Parent group where the new group will be created h5_group_name: str - Name of the new group title: str - Title of the group kwargs: dict - Additional arguments to add as attributes in the group

Parameters:

• h5_group_path (str)

• title (str)

Return type:

Group

property entry_group: Group

property ewoks_group: Group

property ewoks_history_group: Group

property ewoks_history_path: str

property ewoks_last_process_path: str

property ewoks_path: str

property headers: dict

property headers_group: Group

property headers_path: str

is_id02_processed_file()

property mcs_group: Group

property mcs_path: str

property nxdata_dataset_sigma_path: str

property nxdata_dataset_signal_path: str

property nxdata_dataset_variance_path: str

property nxdata_delta_time_path: str

property nxdata_name: str

property nxdata_path: str

property nxdetector_path: str

property nxprocess_group: Group

property nxprocess_name: str

property nxprocess_path: str

property parameters_group: Group

property parameters_path: str

read_ewoks_history()

Return type:

list

property streams_subscan1_path: str

property streams_subscan2_path: str

property tfg_group: Group

property tfg_path: str

update_dataset(added_dataset, h5_dataset_path, index_read=None, datatype=None, **kwargs)

Update a dataset in a HDF5 file with new data. It will create the dataset if it does not exist.

added_dataset: numpy.ndarray - Array with the new data. It has to contain an additional dimension to the data h5_group: h5py.Group - Group in the HDF5 file where the dataset is located h5_dataset_name: str - Name of the dataset in h5_group kwargs: dict - Additional arguments to add as attributes in the dataset

Parameters:

• added_dataset (ndarray)

• h5_dataset_path (str)

• index_read (tuple)

• datatype (str)

Return type:

None

write_ewoks_history(list_ewoks_history)

Parameters:

list_ewoks_history (list)

write_processing_parameters(processing_parameters)

Parameters:

processing_parameters (dict)

Return type:

None