est.core.process.pymca.normalization.PyMca_normalization#

class est.core.process.pymca.normalization.PyMca_normalization(**kwargs)[source]#

Bases: Process

MISSING_DATA = <MISSING_DATA>#
addCallback(callback)#
property advancement#
assert_ready_to_execute()#
property callbacks#
cancel()#

Function called when a task is cancelled. To be implemented by the derived classes

property cancelled: bool#

Return True if the task has been cancelled by the user

classmethod class_nonce()#
classmethod class_nonce_data()#
classmethod class_registry_name() → str | None#
cleanup_references()#

Removes all references to the inputs. Side effect: fixes the uhash of the task and outputs

definition()[source]#
Returns:

definition of the process to be saved in HDF5

Return type:

dict

property done#

Completed (with or without exception)

property exception#
execute(force_rerun: bool | None = False, raise_on_error: bool | None = True, cleanup_references: bool | None = False)#
property failed#

Completed with exception

fix_uhash()#

Fix the uhash when it is derived from the uhash data.

getConfiguration() → dict#
Returns:

parameters of the process to be saved in HDF5

Return type:

dict

static getXasObject(xas_obj) → XASObject#
get_input_uhashes()#
get_input_value(key, default: ~typing.Any = <MISSING_DATA>)#
get_input_values()#
get_named_input_values()#
get_output_transfer_data()#

The values are either DataUri or Variable

get_output_uhashes()#
get_output_value(key, default: ~typing.Any = <MISSING_DATA>)#
get_output_values()#
get_positional_input_values()#
classmethod get_subclass(registry_name, _second_attempt=False)#

Retrieving a derived class

classmethod get_subclass_names() → List[str]#
classmethod get_subclasses()#
get_uhash_init(serialize=False)#
classmethod input_names()#
property input_uhashes#
property input_values#

DEPRECATED

property input_variables#
property inputs#
instance_nonce()#
classmethod instantiate(registry_name: str, **kw)#

Factory method for instantiating a derived class.

Parameters:

  • registry_name (str) – for example “tasklib.tasks.MyTask” or “MyTask”

  • **kw – Task constructor arguments

Returns Task:

property is_ready_to_execute#
property job_id: str | None#
property label#
property missing_inputs#
property missing_outputs#
property name: str#
property named_input_values#

DEPRECATED

property node_id: str | int | tuple#
property npositional_inputs#
classmethod optional_input_names()#
property output_metadata: dict | None#
classmethod output_names()#
property output_transfer_data#

DEPRECATED

property output_uhashes#

DEPRECATED

property output_values#

DEPRECATED

property output_variables#
property outputs#
property positional_input_values#

DEPRECATED

static program_name()[source]#
Returns:

name of the process to be saved in HDF5

Return type:

dict

program_version()[source]#
Returns:

version of the process to be saved in HDF5

Return type:

dict

property progress: int | None#

Task advancement. If a task progress is not provided then return None

classmethod required_input_names()#
reset_state()#
run()[source]#
Parameters:

xas_obj – object containing the configuration and spectra to process

Type:

Union[XASObject, dict]. If is a dict, should contain configuration or spectra keys. Otherwise is simply the spectra

Returns:

updated XASObject

Return type:

XASObject

setConfiguration(configuration: dict)#
set_properties(properties)[source]#
set_uhash_init(pre_uhash: str | bytes | UniversalHash | HasUhash | None = None, instance_nonce: Any | None = None)#
stop()#
property succeeded#

Completed without exception and with output values

property uhash: UniversalHash | None#
uhash_randomize()#
undo_fix_uhash()#
undo_randomize()#
update_properties(properties)#
property workflow_id: str | None#