tomwer.core.process.reconstruction.darkref.darkrefs.DarkRefsTask

class tomwer.core.process.reconstruction.darkref.darkrefs.DarkRefsTask(process_id=None, varinfo=None, inputs=None, node_id=None, node_attrs=None, execinfo=None)

Compute median/mean dark and ref from originals (dark and ref files)

TOMO_N = 'TOMO_N'

VALID_WHAT = ('refs', 'dark')

Tuple of valid option for What

WHAT_DARK = 'dark'

WHAT_REF = 'refs'

compute(scan, target, method, overwrite)

static definition()

definition of the process

static getDarkHSTFiles(directory, prefix, file_ext='.edf')

Returns:

the list of existing refs files in the directory according to the file pattern.

static getDarkPatternTooltip()

static getRefHSTFiles(directory, prefix, file_ext='.edf')

Returns:

the list of existing refs files in the directory according to the file pattern.

static getRefPatternTooltip()

static get_darks_frm_process_file(process_file, entry=None, as_url=False)

Parameters:

• process_file (str) – path to the process file

• entry – entry to read in the process file if more than one

• as_url (bool) – if true then an url will be used instead of a numpy.array

Return type:

Optional[dict]

Returns:

dictionary with index in the sequence as key and numpy array as value (or url if as_url set to True)

static get_flats_frm_process_file(process_file, entry=None, as_url=False)

Parameters:

• process_file –

• entry – entry to read in the process file if more than one

• as_url (bool) – if true then an url will be used instead of a numpy.array

Return type:

Optional[dict]

Returns:

info_suffix = '.info'

static program_name()

Name of the program used for this processing

static program_version()

version of the program used for this processing

static properties_help()

Returns:

display the list of all managed keys and possible values

Return type:

str

property recons_params

run()

To be implemented by the derived classes

setForceSync(b)

setPatternRecons(pattern)

set_configuration(properties)

set_recons_params(recons_params)