rmellipse.utils

Classes

MUFMeasParser	Object for reading legacy Microwave Uncertainry Framework xml files into uncertainty objects.
GroupSaveable	Interface for objects that can be saved as HDF5 or Exdir groups or files.

Functions

load_object(→ any)	Construct Python object from group or dataset.
save_object(→ SAVED)	Save an object to a group.

Package Contents

class rmellipse.utils.MUFMeasParser(file: str = None)

Object for reading legacy Microwave Uncertainry Framework xml files into uncertainty objects.

Initialize a MUFMeas parser.

Parameters:

filestr, optional

Path to xml header file (usually has extension .meas), by default None.

etree = None

parmameter_dict = None

covariance_dict = None

montecarlo_dict = None

nominal_dict = None

name = None

file_ext = None

open_meas(file: str)

Open up an xml header file and parse it for file paths and other info.

Parameters:

filestr

Path to file to be opened.

open_data(open_fcn: callable, open_fcn_extra_args=(), old_base_dir=None, new_base_dir=None)

Loads data into an initialized object.

Loads into memory all of the perturbed measurements in the sensitivity analysis, and all of the Monte-Carlo trials.

You should call open_meas before opening data.

init_from_data(name: str, montecarlo_data: list, nominal_data: object, covariance_data: list, umech_id: list = None)

Generate an object from user supplied data.

Parameters:

name_type_

_description_

montecarlo_datalist

a list of data objects of the same type as nominal_data, representing Monte-Carlo trials. Can be empty.

nominal_dataobject

a data object (usually a numpy array) representing a nominal value for some quantity

covariance_datalist

a list of data objects of the same type as nominal_data, representing the nominal data perturbed by various error mechanisms. Can be empty.

umech_idlist, optional

a list of strings with the same length as covariance_data. The locations of parameter files for error mechanisms. If empty, the location will be set to

save_data(target_dir: str, save_fcn: callable = None, save_fcn_extra_args=(), file_ext: str = None)

Save data to disk, call before save_meas.

Given a target directory, creates a “<self.name>_Support” folder with subdirectories “Covariance”, containing files consisting of perturbed measurements for the sensitivity analysis, and “MonteCarlo”, containing files consisting of Monte-Carlo trials. The save_fcn provide is called as save_fcn_extra_args(data,filepath,*save_fcn_extra_args).

Parameters:

target_dirstr

directory where data should be saved

save_fcncallable, optional

function that saves data in the propper format. Should take the data to be saved as the first argument and the file path as the second.

save_fcn_extra_argstuple, optional

extra arguments for the save function if necessary, by default ().

file_extstr, optional

Extension to use for filepaths, by default None

save_meas(output_file)

Save the xml header.

Saves a MUF-style .meas file. This function only writes the XML file, it does not save the raw data.

If you are also saving raw data, you should do that first, because that function will alter file paths.

Parameters:

output_filestr

Path to the xml header.

rmellipse.utils.load_object(saved_object: GROUP | DATASET, parent: GROUP_SAVEABLE = None, load_big_objects: bool = False) → any

Construct Python object from group or dataset.

Parameters:

saved_objectUnion[GROUP, DATASET]

Group or datset that contains Python object.

parentGROUP_SAVEABLE, optional

Parent of this object (Python object). The default is None.

load_big_objectsbool, optional

If True, fully load all objects into memory. If False, only the attributes of big objects will be loaded. The default is False.

Returns:

any

A Python object.

rmellipse.utils.save_object(group: GROUP, name: str, o: any, verbose: bool = False) → SAVED

Save an object to a group.

Parameters:

groupGROUP

Group where object will be saved.

namestr

Name the object will have in the group.

oany

Object to save.

Returns:

SAVED

The newly-created saved object.

class rmellipse.utils.GroupSaveable(name: str = None, parent: GROUP_SAVEABLE = None, attrs: dict = None, **kwargs)

Bases: GROUP_SAVEABLE

Interface for objects that can be saved as HDF5 or Exdir groups or files.

These objects are organized in a tree-like structure to avoid data duplication. Specifically, a group-saveable object is a node in a tree graph. It stores references to its children, and also to its parent.

Each node also has a lookup table that stores the paths to data objects below it.

attrs = None

parent = None

lookup_table

children

is_big_object

classmethod load(group: GROUP, parent: GROUP_SAVEABLE = None, load_big_objects: bool = False) → GROUP_SAVEABLE

Initialize GROUP_SAVEABLE object from a group.

The group_saveable class is designed to be used as an archive, and may store many large data sets. So, to save space in memory, some objects must be open explicitly using the load_big_objects argument.

The attribute “is_big_object” determines if the object is fully loaded or not. If an object is not loaded, a placeholder with the same attributes will be added.

Parameters:

groupGROUP

An hdf5 (or equivalent) group.

parentGROUP_SAVEABLE, optional

The parent of this object. The default is None.

load_big_objectsbool, optional

If False, attributes marked as big objects are not loaded into memory. The default is False.

Returns:

new_objectGROUP_SAVEABLE

New data tree object loaded from group.

get_root() → GROUP_SAVEABLE

Get the root of the data tree.

Returns:

GROUP_SAVEABLE

The root (the tree with no parents).

look_up_node(unique_id: str) → GROUP_SAVEABLE

Find the node that holds an object by unique id.

Parameters:

unique_idstr

The hex representation of the unique id of an object stored in a subtree.

Returns:

GROUP_SAVEABLE

The data tree that holds the object with that unique id.

update_lookup_table(unique_id: str, path: str = '') → bool

Try to update lookup table with path to data stored in a subtree.

This method will also recursively try to update the parent’s lookup tables.

If there is already an object with the same unique id in a parent’s lookup table, then that is the real one, and this is a copy. In that case, do not upate the lookup table.

Parameters:

unique_idstr

The hex representation of the unique id of an object stored in a subtree.

pathstr, optional

Used for recursion. Do not change. The default is “”.

Returns:

bool

True if object is successfully added (does not already exist in parents’ lookup table)

save(parent: GROUP, name: str = None, verbose: bool = False)

Save a group_saveable object as a group.

Parameters:

parentGROUP

Parent of group to be created.

namestr, optional

If not None, overwrite name attribute of the group. The default is None.

verbose: bool, optional

if True, prints information about what is being saved

Returns:

None.

add_child(key: str = None, data: SAVEABLE = None, is_big_object: bool = False)

Add child to this node.

If the new data is a GROUP_SAVEABLE object, enforce that data.attrs[“name”] == key.

Parameters:

key: str, optional

Name of child. If None, check if the data has a name. The defualt is None.

dataSAVEABLE, optional

Data to add. If None, initialize an empty group_saveable object. The defualt is None.

is_big_object: bool, optional

If True, when this object is read from a file, it will be ignored if the load_big_objects argument is set to False. The default is False.

Returns:

None.

update_parents()

Recursively update the parents lookup tables all of this object’s children.

Returns:

None.