3%> containing the contents of a (set of) ParaMonte simulation output chain file(s) whose paths match
4%> the specified input ``pattern`` or the simulation specification ``sampler.spec.outputFileName``.<br>
7%> This function is to be only used
for post-processing of the output chain 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>
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 chain 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 chain 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 ``
"_chain.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%> \param[in] varargin : Any set of arguments that must be directly passed to the relevant file contents parser
class.<br>
32%> (**optional**.
default is empty, corresponding to no extra input arguments.)
35%> ``chainList`` : The output MATLAB cell array of objects of superclass [pm.sampling.FileContentsChain](@ref
FileContentsChain),
36%> each of
which corresponds to the contents of a unique ParaMonte sampler chain file.<br>
38%> <li> If the input argument ``sampler`` is of type [pm.sampling.Sampler](@ref
Sampler),
39%> then the output array elements are of type [pm.sampling.FileContentsChain](@ref
FileContentsChain).<br>
40%> <li> If the input argument ``sampler`` is of type [pm.sampling.Paradram](@ref
Paradram),
41%> then the output array elements are of type [pm.sampling.FileContentsChainDRAM](@ref
FileContentsChainDRAM).<br>
47%> chainList = pm.sampling.readChain();
48%> chainList = pm.sampling.readChain([]);
49%> chainList = pm.sampling.readChain([], []);
50%> chainList = pm.sampling.readChain([], [], []);
51%> chainList = pm.sampling.readChain([], pattern);
52%> chainList = pm.sampling.readChain([], [], sep);
53%> chainList = pm.sampling.readChain([], pattern, sep);
54%> chainList = pm.sampling.readChain(sampler, pattern, sep, varargin);
59%> See the documentation of the ParaMonte MATLAB samplers
60%> (e.g., [pm.sampling.Paradram](@ref
Paradram))
for example usage.<br>
65%> sampler = pm.sampling.Sampler();
67%> chainList = pm.sampling.readChain([],
"./out/test_run_");
68%> chainList = pm.sampling.readChain(sampler,
"./out/test_run_");
70%> sampler.spec.outputFileName =
"./out/test_run_";
72%> chainList = pm.sampling.readChain(sampler, [],
",");
73%> chainList = pm.sampling.readChain(sampler);
75%> chainList = pm.sampling.readChain(
"./out/test_run_",
",");
77%> sampler.spec.outputSeparator =
",";
79%> chainList = pm.sampling.readChain(sampler,
"./out/test_run_");
81%> sampler.spec.outputFileName =
"./out/test_run_";
82%> sampler.spec.outputSeparator =
",";
84%> chainList = pm.sampling.readChain(sampler);
91%> \AmirShahmoradi, Saturday Nov 2 2024, 10:32 PM, Dallas, TX.<br>
92%> \FatemehBagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.<br>
93function chainList =
readChain(sampler, pattern, sep, varargin)
96 if 0 < pm.array.len(sampler.spec.outputSeparator)
97 sep = string(sampler.spec.outputSeparator);
104 if 0 < pm.array.len(sampler.spec.outputFileName)
105 pattern = string(sampler.spec.outputFileName);
115 sampler = pm.sampling.Sampler();
118 pathList = sampler.findfile(
"chain", pattern);
119 chainList = cell(numel(pathList), 1);
121 for ifile = numel(pathList) : -1 : 1
124 disp(
"processing file: """ + pathList(ifile) +
"""");
127 if isequal(
class(sampler),
"pm.sampling.Sampler")
128 chainList{ifile} = pm.sampling.FileContentsChain(pathList(ifile), sampler.silent, sep, varargin{:});
129 elseif isequal(
class(sampler),
"pm.sampling.Paradram")
130 chainList{ifile} = pm.sampling.FileContentsChainDRAM(pathList(ifile), sampler.silent, sep, varargin{:});
132 help(
"pm.sampling.readChain")
133 disp("class(sampler)");
134 disp( class(sampler) );
136 + "Invalid input ``sampler``
object type." + newline ...
137 + "See the documentation displayed above for more " + newline ...
138 + "information on possible values for ``sampler`` argument." + newline ...
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 chain file generated by ...
This is the base class for generating objects that contain the contents of a chain file generated by ...
This is the ParaDRAM class for generating instances of serial and parallel Delayed-Rejection Adaptive...
This is the base class for the ParaMonte sampler routines.
function parallel()
Return a scalar MATLAB logical that is true if and only if the current installation of MATLAB contain...
function readChain(in sampler, in pattern, in sep, in varargin)
Return a list of objects of superclass pm.sampling.FileContentsChain containing the contents of a (se...
function which(in vendor)
Return the a MATLAB string containing the path to the first mpiexec executable binary found in system...