ParaMonte MATLAB 3.0.0
Parallel Monte Carlo and Machine Learning Library
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readReport.m
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1%> \brief
2%> Return a list of objects of superclass [pm.sampling.FileContentsReport](@ref FileContentsReport)
3%> containing the contents of a (set of) ParaMonte simulation output report file(s) whose paths match
4%> the specified input ``pattern`` or the simulation specification ``sampler.spec.outputFileName``.<br>
5%>
6%> \warning
7%> This function is to be only used for post-processing of the output report file(s) of an already finished simulation.<br>
8%> Although possible, this method is NOT meant to be called by all processes in MPI-parallel simulations.<br>
9%>
10%> \param[in] sampler : The input object of superclass [pm.sampling.Sampler](@ref Sampler)
11%> whose type and properties determine the type of the output object(s).<br>
12%> (**optional**. If empty, it is set to [pm.sampling.Sampler()](@ref Sampler).)
13%> \param[in] pattern : The input scalar MATLAB string containing the pattern matching
14%> the desired report file(s) whose contents is to be read.<br>
15%> The specified ``pattern`` only needs to partially identify
16%> the name of the simulation to which the report file belongs.<br>
17%> For example, specifying ``"./mydir/mysim"`` as input will
18%> lead to a search for file(s) beginning with "mysim" and
19%> ending with ``"_report.txt"`` inside the directory ``"./mydir/"``.<br>
20%> If there are multiple files matching in the input ``pattern``,
21%> then all such files will be read and returned as elements of a list.<br>
22%> If the specified pattern is a valid existing URL, the file will be
23%> downloaded as a temporary file to the local system, its contents
24%> shall be parsed and the file will be subsequently removed.<br>
25%> If the input ``pattern`` is empty, then the method will search
26%> for any possible candidate files with the appropriate suffix
27%> in the current working directory.<br>
28%> (**optional**. If empty, it is set to ``sampler.spec.outputFileName`` or if empty, it is set to ``"./"``.)
29%>
30%> \return
31%> ``reportList`` : The output MATLAB cell array of objects of superclass [pm.sampling.FileContentsReport](@ref FileContentsReport),
32%> each of which corresponds to the contents of a unique ParaMonte sampler report file.<br>
33%> <ol>
34%> <li> If the input argument ``sampler`` is of type [pm.sampling.Sampler](@ref Sampler),
35%> then the output array elements are of type [pm.sampling.FileContentsReport](@ref FileContentsReport).<br>
36%> <li> If the input argument ``sampler`` is of type [pm.sampling.Paradram](@ref Paradram),
37%> then the output array elements are of type [pm.sampling.FileContentsReport](@ref FileContentsReport).<br>
38%> </ol>
39%>
40%> \interface{readReport}
41%> \code{.m}
42%>
43%> reportList = pm.sampling.readReport();
44%> reportList = pm.sampling.readReport([]);
45%> reportList = pm.sampling.readReport([], []);
46%> reportList = pm.sampling.readReport([], pattern);
47%> reportList = pm.sampling.readReport(sampler, []);
48%> reportList = pm.sampling.readReport(sampler, pattern);
49%>
50%> \endcode
51%>
52%> \note
53%> See the documentation of the subclasses of [pm.sampling.Sampler](@ref Sampler)
54%> (e.g., [pm.sampling.Paradram](@ref Paradram)) for example usage in action.<br>
55%>
56%> \example{readReport}
57%> \code{.m}
58%>
59%> sampler = pm.sampling.Sampler();
60%>
61%> reportList = pm.sampling.readReport("./out/test_run_");
62%> reportList = pm.sampling.readReport([], "./out/test_run_");
63%> reportList = pm.sampling.readReport(sampler, "./out/test_run_");
64%>
65%> sampler.spec.outputFileName = "./out/test_run_";
66%>
67%> reportList = pm.sampling.readReport(sampler, []);
68%> reportList = pm.sampling.readReport(sampler);
69%>
70%> \endcode
71%>
72%> \final{readReport}
73%>
74%> \author
75%> \AmirShahmoradi, Saturday Nov 2 2024, 11:11 PM, Dallas, TX.<br>
76%> \FatemehBagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.<br>
77function reportList = readReport(sampler, pattern)
78
79 if nargin < 2
80 if 0 < pm.array.len(sampler.spec.outputFileName)
81 pattern = string(sampler.spec.outputFileName);
82 else
83 pattern = [];
84 end
85 end
86
87 if nargin < 1
88 sampler = [];
89 end
90 if isempty(sampler)
91 sampler = pm.sampling.Sampler();
92 end
93
94 pathList = sampler.findfile("report", pattern);
95 reportList = cell(numel(pathList), 1);
96
97 for ifile = numel(pathList) : -1 : 1
98
99 if ~sampler.silent
100 disp("processing file: """ + pathList(ifile) + """");
101 end
102
103 if isequal(class(sampler), "pm.sampling.Sampler") || isequal(class(sampler), "pm.sampling.Paradram")
104 reportList{ifile} = pm.sampling.FileContentsReport(pathList(ifile), sampler.silent, sampler.method);
105 else
106 help("pm.sampling.readReport")
107 disp("class(sampler)");
108 disp( class(sampler) );
109 error ( newline ...
110 + "Invalid input ``sampler`` object type." + newline ...
111 + "See the documentation displayed above for more " + newline ...
112 + "information on possible values for ``sampler`` argument." + newline ...
113 + newline ...
114 );
115 end
116
117 end
118
119end
function name(in vendor)
Return the MPI library name as used in naming the ParaMonte MATLAB shared library directories.
function list()
Return a list of MATLAB strings containing the names of OS platforms supported by the ParaMonte MATLA...
This is the base class for generating objects that contain the contents of a report file generated by...
This is the ParaDRAM class for generating instances of serial and parallel Delayed-Rejection Adaptive...
Definition: Paradram.m:18
This is the base class for the ParaMonte sampler routines.
Definition: Sampler.m:21
function parallel()
Return a scalar MATLAB logical that is true if and only if the current installation of MATLAB contain...
function readReport(in sampler, in pattern)
Return a list of objects of superclass pm.sampling.FileContentsReport containing the contents of a (s...
function which(in vendor)
Return the a MATLAB string containing the path to the first mpiexec executable binary found in system...