mirror of https://github.com/jlizier/jidt
58 lines
1.6 KiB
Matlab
Executable File
58 lines
1.6 KiB
Matlab
Executable File
% function octaveMatrix = javaMatrixToOctave(javaMatrix)
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%
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% Convert a java matrix (1 or 2D, double or int - but not Integer!!) to an octave matrix
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%
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% Unfortunately octave-java doesn't seem to handle the conversion properly,
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% and we must convert each individual array item ourselves (This can be very slow for large matrices)
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% or with org.octave.Matrix (built-in).
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%
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function octaveMatrix = javaMatrixToOctave(javaMatrix, startRow, startCol, numRows, numCols)
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if (nargin < 2)
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startRow = 1;
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end
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if (nargin < 3)
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startCol = 1;
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end
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if (nargin < 4)
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numRows = rows(javaMatrix);
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end
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if (nargin < 5)
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numCols = columns(javaMatrix);
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end
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if (exist ('OCTAVE_VERSION', 'builtin'))
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% We're in octave:
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% Using 'org.octave.Matrix' is much faster than conversion cell by cell
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% (only use if we're converting the whole array though, too many issues
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% with type checking etc to bother otherwise)
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if (nargin < 2)
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tmp = javaObject('org.octave.Matrix', javaMatrix);
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% Make sure tmp.ident() is converted to native octave:
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oldFlag = java_convert_matrix (1);
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unwind_protect
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octaveMatrix = tmp.ident(tmp);
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unwind_protect_cleanup
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% restore to non-default conversion, otherwise we get
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% bad errors on other calls
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java_convert_matrix(oldFlag);
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end_unwind_protect
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return;
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end
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end
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% Else, either we couldn't be bothered doing the resizing for java,
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% or we were in Matlab all along. (If there's a fast way for matlab, tell me)
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octaveMatrix = zeros(numRows, numCols);
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for r = startRow:startRow+numRows-1
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for c = startCol:startCol+numCols-1
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octaveMatrix(r-startRow+1,c-startCol+1) = javaMatrix(r,c);
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end
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end
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end
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