readRestart.m File Reference

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Functions
function	readRestart (in sampler, in pattern)
	Return a list of objects of superclass pm.sampling.FileContentsRestart containing the contents of a (set of) ParaMonte simulation output restart file(s) whose paths match the specified input pattern or the simulation specification sampler.spec.outputFileName. More...

Function Documentation

readRestart()

function readRestart	(	in	sampler,
		in	pattern
	)

Return a list of objects of superclass pm.sampling.FileContentsRestart containing the contents of a (set of) ParaMonte simulation output restart file(s) whose paths match the specified input pattern or the simulation specification sampler.spec.outputFileName.

Warning

This function is to be only used for post-processing of the output restart file(s) of an already finished simulation.
Although possible, this method is NOT meant to be called by all processes in MPI-parallel simulations.

Parameters

[in]	sampler	: The input object of superclass pm.sampling.Sampler whose type and properties determine the type of the output object(s). (optional. If empty, it is set to pm.sampling.Sampler().)
[in]	pattern	: The input scalar MATLAB string containing the pattern matching the desired restart file(s) whose contents is to be read. The specified pattern only needs to partially identify the name of the simulation to which the restart file belongs. For example, specifying "./mydir/mysim" as input will lead to a search for file(s) beginning with "mysim" and ending with "_restart.txt" inside the directory "./mydir/". If there are multiple files matching in the input pattern, then all such files will be read and returned as elements of a list. If the specified pattern is a valid existing URL, the file will be downloaded as a temporary file to the local system, its contents shall be parsed and the file will be subsequently removed. If the input pattern is empty, then the method will search for any possible candidate files with the appropriate suffix in the current working directory. (optional. If empty, it is set to sampler.spec.outputFileName or if empty, it is set to "./".)

Returns

restartList : The output MATLAB cell array of objects of superclass pm.sampling.FileContentsRestart, each of which corresponds to the contents of a unique ParaMonte sampler restart file.

1. If the input argument sampler is of type pm.sampling.Sampler, then the output array elements are of type pm.sampling.FileContentsRestart.
   
2. If the input argument sampler is of type pm.sampling.Paradram, then the output array elements are of type pm.sampling.FileContentsRestartDRAM.
   

Possible calling interfaces ⛓

restartList = pm.sampling.readRestart();
restartList = pm.sampling.readRestart([]);
restartList = pm.sampling.readRestart(pattern);

Warning

Currently, only the restart output files in ASCII format can be read via this method.
The binary restart files are not meant to be parsed via this method.
To request for ASCII restart output files in simulations, set the input simulation specification,

sampler.spec.restartFileFormat = "ascii";

where sampler can be an instance of any one of the ParaMonte sampler classes, such as pm.sampling.Paradram.

Avoid using this routine for very large long simulations.
Reading the full restart file of a large-scale simulation problem can be extremely memory-intensive.

Note

See the documentation of the subclasses of pm.sampling.Sampler (e.g., pm.sampling.Paradram) for example usage in action.

Example usage ⛓

sampler = pm.sampling.Sampler();
 
restartList = pm.sampling.readRestart([], "./out/test_run_");
restartList = pm.sampling.readRestart(sampler, "./out/test_run_");
 
sampler.spec.outputFileName = "./out/test_run_";
 
restartList = pm.sampling.readRestart(sampler, []);
restartList = pm.sampling.readRestart(sampler);

Final Remarks ⛓

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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.

1. 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.
   
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Copyright

Computational Data Science Lab

Author:

Amir Shahmoradi, Saturday Nov 2 2024, 11:11 PM, Dallas, TX.
Fatemeh Bagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.