ParaMonte MATLAB 3.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
readProgress.m
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1%> \brief
2%> Return a list of objects of superclass [pm.sampling.FileContentsProgress](@ref FileContentsProgress)
3%> containing the contents of a (set of) ParaMonte simulation output progress 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 progress 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 progress 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 progress 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 ``"_progress.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%> \param[in] sep : The input MATLAB string containing the field separator used in the file(s).<br>
30%> (**optional**. If empty, it is set to ``sampler.spec.outputSeparator`` or if empty, it is automatically inferred.)
31%>
32%> \return
33%> ``progressList`` : The output MATLAB cell array of objects of superclass [pm.sampling.FileContentsProgress](@ref FileContentsProgress),
34%> each of which corresponds to the contents of a unique ParaMonte sampler progress file.<br>
35%> <ol>
36%> <li> If the input argument ``sampler`` is of type [pm.sampling.Sampler](@ref Sampler),
37%> then the output array elements are of type [pm.sampling.FileContentsProgress](@ref FileContentsProgress).<br>
38%> <li> If the input argument ``sampler`` is of type [pm.sampling.Paradram](@ref Paradram),
39%> then the output array elements are of type [pm.sampling.FileContentsProgress](@ref FileContentsProgress).<br>
40%> </ol>
41%>
42%> \interface{readProgress}
43%> \code{.m}
44%>
45%> progressList = pm.sampling.readProgress();
46%> progressList = pm.sampling.readProgress([]);
47%> progressList = pm.sampling.readProgress([], []);
48%> progressList = pm.sampling.readProgress([], [], []);
49%> progressList = pm.sampling.readProgress([], pattern);
50%> progressList = pm.sampling.readProgress([], [], sep);
51%> progressList = pm.sampling.readProgress([], pattern, sep);
52%> progressList = pm.sampling.readProgress(sampler, pattern, sep);
53%>
54%> \endcode
55%>
56%> \note
57%> See the documentation of the ParaMonte MATLAB samplers
58%> (e.g., [pm.sampling.Paradram](@ref Paradram)) for example usage.<br>
59%>
60%> \example{readProgress}
61%> \code{.m}
62%>
63%> sampler = pm.sampling.Sampler();
64%>
65%> progressList = pm.sampling.readProgress([], "./out/test_run_");
66%> progressList = pm.sampling.readProgress(sampler, "./out/test_run_");
67%>
68%> sampler.spec.outputFileName = "./out/test_run_";
69%>
70%> progressList = pm.sampling.readProgress(sampler, [], ",");
71%> progressList = pm.sampling.readProgress(sampler);
72%>
73%> progressList = pm.sampling.readProgress("./out/test_run_", ",");
74%>
75%> sampler.spec.outputSeparator = ",";
76%>
77%> progressList = pm.sampling.readProgress(sampler, "./out/test_run_");
78%>
79%> sampler.spec.outputFileName = "./out/test_run_";
80%> sampler.spec.outputSeparator = ",";
81%>
82%> progressList = pm.sampling.readProgress(sampler);
83%>
84%> \endcode
85%>
86%> \final{readProgress}
87%>
88%> \author
89%> \AmirShahmoradi, Saturday Nov 2 2024, 10:32 PM, Dallas, TX.<br>
90%> \FatemehBagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.<br>
91function progressList = readProgress(sampler, pattern, sep)
92
93 if nargin < 3
94 if 0 < pm.array.len(sampler.spec.outputSeparator)
95 sep = string(sampler.spec.outputSeparator);
96 else
97 sep = [];
98 end
99 end
100
101 if nargin < 2
102 if 0 < pm.array.len(sampler.spec.outputFileName)
103 pattern = string(sampler.spec.outputFileName);
104 else
105 pattern = [];
106 end
107 end
108
109 if nargin < 1
110 sampler = [];
111 end
112 if isempty(sampler)
113 sampler = pm.sampling.Sampler();
114 end
115
116 pathList = sampler.findfile("progress", pattern);
117 progressList = cell(numel(pathList), 1);
118
119 for ifile = numel(pathList) : -1 : 1
120
121 if ~sampler.silent
122 disp("processing file: """ + pathList(ifile) + """");
123 end
124
125 if isequal(class(sampler), "pm.sampling.Sampler") || isequal(class(sampler), "pm.sampling.Paradram")
126 progressList{ifile} = pm.sampling.FileContentsProgress(pathList(ifile), sampler.silent, sep);
127 else
128 help("pm.sampling.readProgress")
129 disp("class(sampler)");
130 disp( class(sampler) );
131 error ( newline ...
132 + "Invalid input ``sampler`` object type." + newline ...
133 + "See the documentation displayed above for more " + newline ...
134 + "information on possible values for ``sampler`` argument." + newline ...
135 + newline ...
136 );
137 end
138
139 end
140
141end
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 progress file generated ...
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 readProgress(in sampler, in pattern, in sep)
Return a list of objects of superclass pm.sampling.FileContentsProgress containing the contents of a ...
function which(in vendor)
Return the a MATLAB string containing the path to the first mpiexec executable binary found in system...