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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/BNT/@assocarray | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
Diffstat (limited to 'sourcecodes/bnt-master/BNT/@assocarray')
5 files changed, 30 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/BNT/@assocarray/CVS/Entries b/sourcecodes/bnt-master/BNT/@assocarray/CVS/Entries new file mode 100644 index 00000000..dc217e2f --- /dev/null +++ b/sourcecodes/bnt-master/BNT/@assocarray/CVS/Entries @@ -0,0 +1,3 @@ +/assocarray.m/1.1.1.1/Wed May 29 15:59:52 2002// +/subsref.m/1.1.1.1/Wed Aug 4 19:36:30 2004// +D diff --git a/sourcecodes/bnt-master/BNT/@assocarray/CVS/Repository b/sourcecodes/bnt-master/BNT/@assocarray/CVS/Repository new file mode 100644 index 00000000..258fe401 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/@assocarray/CVS/Repository @@ -0,0 +1 @@ +FullBNT/BNT/@assocarray diff --git a/sourcecodes/bnt-master/BNT/@assocarray/CVS/Root b/sourcecodes/bnt-master/BNT/@assocarray/CVS/Root new file mode 100644 index 00000000..f3bd14a6 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/@assocarray/CVS/Root @@ -0,0 +1 @@ +:ext:nsaunier@bnt.cvs.sourceforge.net:/cvsroot/bnt diff --git a/sourcecodes/bnt-master/BNT/@assocarray/assocarray.m b/sourcecodes/bnt-master/BNT/@assocarray/assocarray.m new file mode 100644 index 00000000..84f96361 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/@assocarray/assocarray.m @@ -0,0 +1,10 @@ +function A = assocarray(keys, vals) +% ASSOCARRAY Make an associative array +% function A = assocarray(keys, vals) +% +% keys{i} is the i'th string, vals{i} is the i'th value. +% After construction, A('foo') will return the value associated with foo. + +A.keys = keys; +A.vals = vals; +A = class(A, 'assocarray'); diff --git a/sourcecodes/bnt-master/BNT/@assocarray/subsref.m b/sourcecodes/bnt-master/BNT/@assocarray/subsref.m new file mode 100644 index 00000000..12673106 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/@assocarray/subsref.m @@ -0,0 +1,15 @@ +function val = subsref(A, S) +% SUBSREF Subscript reference for an associative array +% A('foo') will return the value associated with foo. +% If there are multiple identicaly keys, the first match is returned. +% Currently the search is sequential. + +i = 1; +while i <= length(A.keys) + if strcmp(S.subs{1}, A.keys{i}) + val = A.vals{i}; + return; + end + i = i + 1; +end +error(['can''t find ' S.subs{1}]) |