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 class [pm.sampling.FileContentsReport](@ref FileContentsReport)
3%> containing the content(s) of the ParaMonte simulation output report
4%> file(s) whose path(s) match the specified input ``pattern`` or the
5%> simulation specification ``sampler.spec.outputFileName``.<br>
6%>
7%> \warning
8%> This method is to be only used for post-processing of the output
9%> report file(s) of an already finished simulation. Although possible,
10%> this method is NOT meant to be called by all processes
11%> in MPI-parallel simulations.<br>
12%>
13%> \param[in] self : The input parent object of class [pm.sampling.Sampler](@ref Sampler)
14%> which is **implicitly** passed to this dynamic method (not by the user).<br>
15%> \param[in] pattern : The input scalar MATLAB string containing the pattern matching
16%> the desired report file(s) whose contents is to be read.<br>
17%> The specified ``pattern`` only needs to partially identify
18%> the name of the simulation to which the report file belongs.<br>
19%> For example, specifying ``"./mydir/mysim"`` as input will
20%> lead to a search for file(s) beginning with "mysim" and
21%> ending with ``"_report.txt"`` inside the directory ``"./mydir/"``.<br>
22%> If there are multiple files matching in the input ``pattern``,
23%> then all such files will be read and returned as elements of a list.<br>
24%> If the specified pattern is a valid existing URL, the file will be
25%> downloaded as a temporary file to the local system, its contents
26%> shall be parsed and the file will be subsequently removed.<br>
27%> If the input ``pattern`` is empty, then the method will search
28%> for any possible candidate files with the appropriate suffix
29%> in the current working directory.<br>
30%> (optional, default = ``sampler.spec.outputFileName`` or ``"./"``)
31%>
32%> \return
33%> ``reportList`` : The output MATLAB cell array of objects
34%> of class [pm.sampling.FileContentsReport](@ref FileContentsReport),
35%> each of which corresponds to the contents
36%> of a unique report file.<br>
37%>
38%> \interface{readReport}
39%> \code{.m}
40%>
41%> sampler = pm.sampling.Sampler();
42%> reportList = sampler.readReport();
43%> reportList = sampler.readReport([]);
44%> reportList = sampler.readReport(pattern);
45%>
46%> \endcode
47%>
48%> \note
49%> See the documentation of the sampler subclasses
50%> (e.g., [pm.sampling.Paradram](@ref Paradram)) for example usage in action.<br>
51%>
52%> \example{readReport}
53%> \code{.m}
54%>
55%> sampler.readReport("./out/test_run_");
56%>
57%> sampler.spec.outputFileName = "./out/test_run_";
58%> sampler.readReport();
59%>
60%> sampler.readReport("./out/test_run_", ",");
61%>
62%> sampler.spec.outputSeparator = ",";
63%> sampler.readReport("./out/test_run_");
64%>
65%> sampler.spec.outputFileName = "./out/test_run_";
66%> sampler.spec.outputSeparator = ",";
67%> sampler.readReport();
68%>
69%> \endcode
70%>
71%> \final{readReport}
72%>
73%> \author
74%> \JoshuaOsborne, May 21 2024, 12:30 AM, University of Texas at Arlington<br>
75%> \FatemehBagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.<br>
76%> \AmirShahmoradi, May 16 2016, 9:03 AM, Oden Institute for Computational Engineering and Sciences (ICES), UT Austin<br>
77function reportList = readReport(self, pattern)
78 if nargin < 2
79 if 0 < pm.array.len(self.spec.outputFileName)
80 pattern = string(self.spec.outputFileName);
81 else
82 pattern = [];
83 end
84 end
85 ftype = "report";
86 pathList = self.findfile(ftype, pattern);
87 reportList = cell(length(pathList), 1);
88 for ifile = length(pathList) : -1 : 1
89 if ~self.silent
90 disp("processing file: """ + pathList(ifile) + """");
91 end
92 reportList{ifile} = pm.sampling.FileContentsReport(pathList(ifile), self.silent, self.method);
93 end
94end
function name(in vendor)
Return the MPI library name as used in naming the ParaMonte MATLAB shared libraries.
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:14
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 which(in vendor)
Return the a MATLAB string containing the path to the first mpiexec executable binary found in system...