This is the base class for generating objects that contain the contents of a sample/chain file generated by a ParaMonte sampler.
This class is meant to be primarily internally used by the ParaMonte MATLAB library samplers.
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Inheritance diagram for FileContentsSampleDRAM:

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Collaboration diagram for FileContentsSampleDRAM:

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Public Member Functions
function	FileContentsSampleDRAM (in file, in silent, in sep)
	Return a scalar object of class pm.sampling.FileContentsSampleDRAM. This is the constructor of the class pm.sampling.FileContentsSampleDRAM. More...

Detailed Description

This is the base class for generating objects that contain the contents of a sample/chain file generated by a ParaMonte sampler.
This class is meant to be primarily internally used by the ParaMonte MATLAB library samplers.

Note: See the documentation of the class constructor pm.sampling.FileContentsSampleDRAM::FileContentsSampleDRAM.; See below for information on the methods.; See also the documentation of the superclass pm.sampling.FileContentsSample.

Final Remarks ⛓

If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.

If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.

This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Copyright: Computational Data Science Lab

Author:: Joshua Alexander Osborne, May 21 2024, 3:32 AM, University of Texas at Arlington
Fatemeh Bagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.
Amir Shahmoradi, May 16 2016, 9:03 AM, Oden Institute for Computational Engineering and Sciences (ICES), UT Austin

Definition at line 24 of file FileContentsSampleDRAM.m.

Constructor & Destructor Documentation

◆ FileContentsSampleDRAM()

function FileContentsSampleDRAM::FileContentsSampleDRAM	(	in	file,
		in	silent,
		in	sep
	)

Return a scalar object of class pm.sampling.FileContentsSampleDRAM.
This is the constructor of the class pm.sampling.FileContentsSampleDRAM.

Parameters

[in]	file	: The input scalar MATLAB string containing the path to an external file.
[in]	silent	: See the corresponding argument of pm.sampling.FileContentsRestart class. (optional. The default is set by pm.sampling.FileContentsRestart.)
[in]	sep	: The input scalar MATLAB string containing the field separator used in the file. (optional, default = `","`)

Returns: self : The output scalar object of class pm.sampling.FileContentsSampleDRAM.

Possible calling interfaces ⛓

: contents = pm.sampling.FileContentsSampleDRAM(file)

contents = pm.sampling.FileContentsSampleDRAM(file, [])

contents = pm.sampling.FileContentsSampleDRAM(file, silent)

contents = pm.sampling.FileContentsSampleDRAM(file, [], [])

contents = pm.sampling.FileContentsSampleDRAM(file, [], sep)

contents = pm.sampling.FileContentsSampleDRAM(file, silent, [])

contents = pm.sampling.FileContentsSampleDRAM(file, silent, sep)

Example usage ⛓

: 1close all

2clear all

3cd(fileparts(mfilename('fullpath'))); % Change working directory to source code directory.

4addpath('../../../'); % Add the ParaMonte library root directory to the search path.

5

6url = "https://raw.githubusercontent.com/cdslaborg/paramontex/fbeca6745684c798ff28c1bf57cfae0c190db478/MATLAB/mlx/";

7file = "regression_powerlaw_data_paradram/out/regression_powerlaw_process_1_sample.txt";

8sampler = pm.sampling.Paradram();

9sample = sampler.readSample(url + file);

10sample = sample{1};

11

12for vistype = string(fields(sample.vis))'

13 disp("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")

14 for plottype = string(fields(sample.vis.(vistype)))'

15 sample.vis.(vistype).(plottype).make("figure", {"visible", "off"});

16 figname = join(["FileContentsSampleDRAM", vistype, plottype], ".");

17 if strcmpi(vistype, "cascade")

18 figname = [figname + "." + string(1 : numel(sample.vis.(vistype).(plottype).window))];

19 end

20 disp("figname")

21 disp( figname )

22 sample.vis.(vistype).(plottype).savefig( figname + ".png", "-m3");

23 end

24 disp("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")

25end

root
function root()
Return a scalar MATLAB string containing the root directory of the ParaMonte library package.

savefig
function savefig(in varargin)
Export figures in a publication-quality format.

Visualization of the example output ⛓