From a4ba0d412f1a433d01e8d23d68901571edcc72e9 Mon Sep 17 00:00:00 2001 From: fozziethebeat Date: Thu, 4 Aug 2011 15:59:44 -0700 Subject: [PATCH] Copying over the airhead-research svn depot for doing the code reviews, cleanly --- LICENSE | 339 ++ README | 19 + build.xml | 649 ++++ data/english-stop-words-large.txt | 581 +++ data/english-stop-words-small.txt | 319 ++ lib/asm-3.0.jar | Bin 0 -> 42710 bytes lib/asm-tree-3.0.jar | Bin 0 -> 21512 bytes lib/ch/akuhn/edu/mit/tedlab/DMat.java | 40 + lib/ch/akuhn/edu/mit/tedlab/SMat.java | 44 + lib/ch/akuhn/edu/mit/tedlab/SVDRec.java | 42 + lib/ch/akuhn/edu/mit/tedlab/Svdlib.java | 2333 ++++++++++++ lib/cobertura.jar | Bin 0 -> 453355 bytes lib/jakarta-oro-2.0.8.jar | Bin 0 -> 65261 bytes lib/jama.jar | Bin 0 -> 32775 bytes lib/jaws-bin-1.2.jar | Bin 0 -> 67301 bytes lib/jnt/FFT/ComplexDouble2DFFT.java | 105 + lib/jnt/FFT/ComplexDoubleFFT.java | 119 + lib/jnt/FFT/ComplexDoubleFFT_Mixed.java | 949 +++++ lib/jnt/FFT/ComplexDoubleFFT_Radix2.java | 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.../matrix/GrowingSparseMatrixTest.java | 71 + .../matrix/LogEntropyTransformTest.java | 62 + .../matrix/MatlabSparseFileIteratorTests.java | 78 + .../matrix/MatlabSparseMatrixBuilderTest.java | 154 + test/edu/ucla/sspace/matrix/MatricesTest.java | 97 + test/edu/ucla/sspace/matrix/MatrixIOTest.java | 620 ++++ .../ucla/sspace/matrix/OnDiskMatrixTest.java | 145 + .../sspace/matrix/SparseHashMatrixTests.java | 72 + .../ucla/sspace/matrix/SparseMatrixTest.java | 71 + .../matrix/SparseSymmetricMatrixTests.java | 63 + .../ucla/sspace/matrix/StatisticsTest.java | 84 + test/edu/ucla/sspace/matrix/SvdTests.java | 119 + .../SvdlibcDenseBinaryFileIteratorTests.java | 87 + .../SvdlibcDenseTextFileIteratorTests.java | 88 + .../SvdlibcSparseBinaryFileIteratorTests.java | 110 + ...dlibcSparseBinaryFileRowIteratorTests.java | 98 + ...SvdlibcSparseBinaryMatrixBuilderTests.java | 175 + .../SvdlibcSparseTextFileIteratorTests.java | 89 + .../sspace/matrix/SymmetricMatrixTests.java | 63 + .../sspace/matrix/TfIdfTransformTest.java | 64 + .../sspace/matrix/TransposedMatrixTests.java | 61 + .../ucla/sspace/ri/TestRandomIndexing.java | 50 + .../DependencyFileDocumentIteratorTest.java | 67 + .../sspace/text/DocumentPreprocessorTest.java | 110 + .../sspace/text/FilteredIteratorTests.java | 71 + .../sspace/text/IteratorFactoryTests.java | 101 + test/edu/ucla/sspace/text/PatPhoTest.java | 60 + .../ucla/sspace/text/PorterStemmerTest.java | 47 + .../edu/ucla/sspace/text/StringUtilsTest.java | 66 + .../sspace/text/TestCompoundWordIterator.java | 127 + .../ucla/sspace/text/TestWordIterator.java | 89 + .../ucla/sspace/text/TokenFilterTests.java | 111 + test/edu/ucla/sspace/util/CharMapTests.java | 318 ++ .../ucla/sspace/util/HashMultiMapTests.java | 596 ++++ .../edu/ucla/sspace/util/IntegerMapTests.java | 399 +++ .../edu/ucla/sspace/util/LineReaderTests.java | 81 + .../sspace/util/SparseDoubleArrayTests.java | 191 + .../ucla/sspace/util/SparseIntArrayTests.java | 163 + test/edu/ucla/sspace/util/TimeSpanTests.java | 185 + .../ucla/sspace/util/TreeMultiMapTests.java | 702 ++++ test/edu/ucla/sspace/util/TrieMapTests.java | 673 ++++ test/edu/ucla/sspace/util/TrieSetTests.java | 88 + test/edu/ucla/sspace/util/WorkQueueTests.java | 103 + .../ucla/sspace/vector/DenseVectorTests.java | 58 + .../vector/MaskedDoubleVectorViewTest.java | 52 + .../MaskedSparseDoubleVectorViewTest.java | 66 + .../vector/SparseHashDoubleVectorTests.java | 52 + .../vector/SparseHashIntegerVectorTests.java | 49 + .../sspace/vector/SparseHashVectorTests.java | 49 + .../vector/SparseIntegerVectorViewTests.java | 101 + .../ucla/sspace/vector/VectorMathTest.java | 125 + test/edu/ucla/sspace/vector/VectorsTest.java | 204 ++ .../ViewDoubleAsDoubleSparseVectorTests.java | 101 + 498 files changed, 112885 insertions(+) create mode 100644 LICENSE create mode 100644 README create mode 100644 build.xml create mode 100644 data/english-stop-words-large.txt create mode 100644 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create mode 100644 test/edu/ucla/sspace/vector/VectorMathTest.java create mode 100644 test/edu/ucla/sspace/vector/VectorsTest.java create mode 100644 test/edu/ucla/sspace/vector/ViewDoubleAsDoubleSparseVectorTests.java diff --git a/LICENSE b/LICENSE new file mode 100644 index 00000000..d159169d --- /dev/null +++ b/LICENSE @@ -0,0 +1,339 @@ + GNU GENERAL PUBLIC LICENSE + Version 2, June 1991 + + Copyright (C) 1989, 1991 Free Software Foundation, Inc., + 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The licenses for most software are designed to take away your +freedom to share and change it. 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The Free Software Foundation may publish revised and/or new versions +of the General Public License from time to time. Such new versions will +be similar in spirit to the present version, but may differ in detail to +address new problems or concerns. + +Each version is given a distinguishing version number. If the Program +specifies a version number of this License which applies to it and "any +later version", you have the option of following the terms and conditions +either of that version or of any later version published by the Free +Software Foundation. If the Program does not specify a version number of +this License, you may choose any version ever published by the Free Software +Foundation. + + 10. If you wish to incorporate parts of the Program into other free +programs whose distribution conditions are different, write to the author +to ask for permission. For software which is copyrighted by the Free +Software Foundation, write to the Free Software Foundation; we sometimes +make exceptions for this. Our decision will be guided by the two goals +of preserving the free status of all derivatives of our free software and +of promoting the sharing and reuse of software generally. + + NO WARRANTY + + 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY +FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN +OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES +PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED +OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF +MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS +TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE +PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, +REPAIR OR CORRECTION. + + 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR +REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, +INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING +OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED +TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY +YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER +PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE +POSSIBILITY OF SUCH DAMAGES. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +convey the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software; you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation; either version 2 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License along + with this program; if not, write to the Free Software Foundation, Inc., + 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + +Also add information on how to contact you by electronic and paper mail. + +If the program is interactive, make it output a short notice like this +when it starts in an interactive mode: + + Gnomovision version 69, Copyright (C) year name of author + Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, the commands you use may +be called something other than `show w' and `show c'; they could even be +mouse-clicks or menu items--whatever suits your program. + +You should also get your employer (if you work as a programmer) or your +school, if any, to sign a "copyright disclaimer" for the program, if +necessary. Here is a sample; alter the names: + + Yoyodyne, Inc., hereby disclaims all copyright interest in the program + `Gnomovision' (which makes passes at compilers) written by James Hacker. + + , 1 April 1989 + Ty Coon, President of Vice + +This General Public License does not permit incorporating your program into +proprietary programs. If your program is a subroutine library, you may +consider it more useful to permit linking proprietary applications with the +library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. diff --git a/README b/README new file mode 100644 index 00000000..e20a6544 --- /dev/null +++ b/README @@ -0,0 +1,19 @@ +The S-Space Package is a collection of algorithms for building Semantic Spaces +as well as a highly-scalable library for designing new distributional semantics +algorithms. Distributional algorithms process text corpora and represent the +semantic for words as high dimensional feature vectors. These approaches are +known by many names, such as word spaces, semantic spaces, or distributed +semantics and rest upon the Distributional Hypothesis: words that appear in +similar contexts have similar meanings. + +The research and development is being done by the Natural Language Processing +group at UCLA led by David Jurgens and Keith Stevens, under the advisory of Dr. +Michael Dyer. + +See the Getting Started page +(http://code.google.com/p/airhead-research/wiki/GettingStarted) for a quick +introduction on how to use the S-Space package, see the Package Overview +(http://code.google.com/p/airhead-research/wiki/PackageStructure)for information +on the code and available features, or dive right into the Javadoc +(http://airhead-research.googlecode.com/svn/trunk/javadoc/1.7/index.html) to see +what's available now. diff --git a/build.xml b/build.xml new file mode 100644 index 00000000..83d5e564 --- /dev/null +++ b/build.xml @@ -0,0 +1,649 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Compiling Hadoop classes + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ]]> + +
+var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); +document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); + +]]> +
+ + + + + + + + + + + + + + + + ]]> + + + + + diff --git a/data/english-stop-words-large.txt b/data/english-stop-words-large.txt new file mode 100644 index 00000000..e8f61cfc --- /dev/null +++ b/data/english-stop-words-large.txt @@ -0,0 +1,581 @@ +a +a's +able +about +above +according +accordingly +across +actually +after +afterwards +again +against +ain't +all +allow +allows +almost +alone +along +already +also +although +always +am +among +amongst +an +and +another +any +anybody +anyhow +anyone +anything +anyway +anyways +anywhere +apart +appear +appreciate +appropriate +are +aren't +around +as +aside +ask +asking +associated +at +available +away +awfully +b +be +became +because +become +becomes +becoming +been +before +beforehand +behind +being +believe +below +beside +besides +best +better +between +beyond +both +brief +but +by +c +c'mon +c's +came +can +can't +cannot +cant +cause +causes +certain +certainly +changes +clearly +co +com +come +comes +concerning +consequently 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/************************************************************** + * returns the larger of two double precision numbers * + **************************************************************/ + static double svd_dmax(double a, double b) { + return Math.max(a, b); + } + + /************************************************************** + * returns the smaller of two double precision numbers * + **************************************************************/ + static double svd_dmin(double a, double b) { + return Math.min(a, b); + } + + /************************************************************** + * returns the larger of two integers * + **************************************************************/ + static int svd_imax(int a, int b) { + return Math.max(a, b); + } + + /************************************************************** + * returns the smaller of two integers * + **************************************************************/ + static int svd_imin(int a, int b) { + return Math.min(a, b); + } + + /************************************************************** + * Function scales a vector by a constant. * Based on Fortran-77 routine + * from Linpack by J. Dongarra * + **************************************************************/ + static void svd_dscal(int n, double da, double[] dx, int incx) { + + if (n <= 0 || incx == 0) return; + int ix = (incx < 0) ? n - 1 : 0; + for (int i=0; i < n; i++) { + dx[ix] *= da; + ix += incx; + } + return; + } + + /************************************************************** + * function scales a vector by a constant. * Based on Fortran-77 routine + * from Linpack by J. Dongarra * + **************************************************************/ + static void svd_datx(int n, double da, double[] dx, int incx, double[] dy, + int incy) { + assert incx == 1 || incx == -1 || incx == 0; + assert incy == 1 || incy == -1 || incy == 0; + if (n <= 0 || incx == 0 || incy == 0) return; + + int ix = (incx == 1) ? 0 : n - 1; + int iy = (incy == 1) ? 0 : n - 1; + for (int i = 0; i < n; i++) { + dy[iy] = da * dx[ix]; + iy += incy; + ix += incx; + } + } + + /************************************************************** + * Function copies a vector x to a vector y * Based on Fortran-77 routine + * from Linpack by J. Dongarra * + **************************************************************/ + static void svd_dcopy(int n, double[] dx, int incx, double[] dy, int incy) { + svd_dcopy(n, dx, 0, incx, dy, 0, incy); + } + + static void svd_dcopy(int n, double[] dx, int ix0, int incx, double[] dy, int iy0, int incy) { + + assert incx == 1 || incx == -1 || incx == 0; + assert incy == 1 || incy == -1 || incy == 0; + if (n <= 0 || incx == 0 || incy == 0) return; + + int ix = (incx == 1) ? ix0 : n - 1 + ix0; + int iy = (incy == 1) ? iy0 : n - 1 + iy0; + for (int i = 0; i < n; i++) { + dy[iy] = dx[ix]; + iy += incy; + ix += incx; + } + } + + /************************************************************** + * Function forms the dot product of two vectors. * Based on Fortran-77 + * routine from Linpack by J. Dongarra * + **************************************************************/ + static double svd_ddot(int n, double[] dx, int incx, double[] dy, int incy) { + double dot_product = 0.0; + int ix0 = 0; + int iy0 = 0; + + assert incx == 1 || incx == -1 || incx == 0; + assert incy == 1 || incy == -1 || incy == 0; + if (n <= 0 || incx == 0 || incy == 0) return 0.0; + + int ix = (incx == 1) ? ix0 : n - 1 + ix0; + int iy = (incy == 1) ? iy0 : n - 1 + iy0; + for (int i = 0; i < n; i++) { + dot_product += dy[iy] * dx[ix]; + iy += incy; + ix += incx; + } + return dot_product; + } + + /************************************************************** + * Constant times a vector plus a vector * Based on Fortran-77 routine from + * Linpack by J. Dongarra * + **************************************************************/ + static void svd_daxpy(int n, double da, double[] dx, int incx, double[] dy, + int incy) { + if (n <= 0 || incx == 0 || incy == 0) return; + + int ix = (incx == 1) ? 0 : n - 1; + int iy = (incy == 1) ? 0 : n - 1; + for (int i = 0; i < n; i++) { + dy[iy] += da * dx[ix]; + iy += incy; + ix += incx; + } + } + + /********************************************************************* + * Function sorts array1 and array2 into increasing order for array1 * + *********************************************************************/ + static void svd_dsort2(int igap, int n, double[] array1, double[] array2) { + double temp; + int i, j, index; + + if (0 == igap) return; + else { + for (i = igap; i < n; i++) { + j = i - igap; + index = i; + while (j >= 0 && array1[j] > array1[index]) { + temp = array1[j]; + array1[j] = array1[index]; + array1[index] = temp; + temp = array2[j]; + array2[j] = array2[index]; + array2[index] = temp; + j -= igap; + index = j + igap; + } + } + } + svd_dsort2(igap/2,n,array1,array2); + } + + /************************************************************** + * Function interchanges two vectors * Based on Fortran-77 routine from + * Linpack by J. Dongarra * + **************************************************************/ + static void svd_dswap(int n, double[] dx, int incx, double[] dy, int incy) { + if (n <= 0 || incx == 0 || incy == 0) return; + + int ix = (incx == 1) ? 0 : n - 1; + int iy = (incy == 1) ? 0 : n - 1; + for (int i = 0; i < n; i++) { + double swap = dy[iy]; + dy[iy] = dx[ix]; + dx[ix] = swap; + iy += incy; + ix += incx; + } + } + + /***************************************************************** + * Function finds the index of element having max. absolute value* based on + * FORTRAN 77 routine from Linpack by J. Dongarra * + *****************************************************************/ + static int svd_idamax(int n, double[] dx, int ix0, int incx) { + int ix,imax; + double dmax; + if (n < 1) return -1; + if (n == 1) return 0; + if (incx == 0) return -1; + ix = (incx < 0) ? ix0 + ((-n+1) * incx) : ix0; + imax = ix; + dmax = fabs(dx[ix]); + for (int i=1; i < n; i++) { + ix += incx; + double dtemp = fabs(dx[ix]); + if (dtemp > dmax) { + dmax = dtemp; + imax = ix; + } + } + return imax; + } + + /************************************************************** + * multiplication of matrix B by vector x, where B = A'A, * and A is nrow by + * ncol (nrow >> ncol). Hence, B is of order * n = ncol (y stores product + * vector). * + **************************************************************/ + static void svd_opb(SMat A, double[] x, double[] y, double[] temp) { + int[] pointr = A.pointr; + int[] rowind = A.rowind; + double[] value = A.value; + int n = A.cols; + + //SVDCount[SVD_MXV] += 2; + //memset(y, 0, n * sizeof(double)); + for (int i = 0; i < n; i++) y[i] = 0; + + for (int i = 0; i < A.rows; i++) temp[i] = 0.0; + + for (int i = 0; i < A.cols; i++) { + int end = pointr[i+1]; + for (int j = pointr[i]; j < end; j++) + temp[rowind[j]] += value[j] * (x[i]); + } + for (int i = 0; i < A.cols; i++) { + int end = pointr[i+1]; + for (int j = pointr[i]; j < end; j++) + y[i] += value[j] * temp[rowind[j]]; + } + return; + } + + /*********************************************************** + * multiplication of matrix A by vector x, where A is * nrow by ncol (nrow + * >> ncol). y stores product vector. * + ***********************************************************/ + static void svd_opa(SMat A, double[] x, double[] y) { + int[] pointr = A.pointr, rowind = A.rowind; + double[] value = A.value; + + //SVDCount[SVD_MXV]++; + for (int i = 0; i < A.rows; i++) y[i] = 0; + + for (int i = 0; i < A.cols; i++) { + int end = pointr[i+1]; + for (int j = pointr[i]; j < end; j++) + y[rowind[j]] += value[j] * x[i]; + } + return; + } + + /*********************************************************************** + * * random() * (double precision) * + ***********************************************************************/ + /*********************************************************************** + * Description ----------- + * + * This is a translation of a Fortran-77 uniform random number generator. + * The code is based on theory and suggestions given in D. E. Knuth (1969), + * vol 2. The argument to the function should be initialized to an arbitrary + * integer prior to the first call to random. The calling program should not + * alter the value of the argument between subsequent calls to random. + * Random returns values within the interval (0,1). + * + * + * Arguments --------- + * + * (input) iy an integer seed whose value must not be altered by the caller + * between subsequent calls + * + * (output) random a double precision random number between (0,1) + ***********************************************************************/ + static double svd_random2(long[] iy) { + throw null; + // static long m2 = 0; + // static long ia, ic, mic; + // static double halfm, s; + // + // /* If first entry, compute (max int) / 2 */ + // if (!m2) { + // m2 = 1 << (8 * (int)sizeof(int) - 2); + // halfm = m2; + // + // /* compute multiplier and increment for linear congruential + // * method */ + // ia = 8 * (long)(halfm * atan(1.0) / 8.0) + 5; + // ic = 2 * (long)(halfm * (0.5 - sqrt(3.0)/6.0)) + 1; + // mic = (m2-ic) + m2; + // + // /* s is the scale factor for converting to floating point */ + // s = 0.5 / halfm; + // } + // + // /* compute next random number */ + // *iy = *iy * ia; + // + // /* for computers which do not allow integer overflow on addition */ + // if (*iy > mic) *iy = (*iy - m2) - m2; + // + // *iy = *iy + ic; + // + // /* for computers whose word length for addition is greater than + // * for multiplication */ + // if (*iy / 2 > m2) *iy = (*iy - m2) - m2; + // + // /* for computers whose integer overflow affects the sign bit */ + // if (*iy < 0) *iy = (*iy + m2) + m2; + // + // return((double)(*iy) * s); + } + + /************************************************************** + * * Function finds sqrt(a^2 + b^2) without overflow or * destructive + * underflow. * * + **************************************************************/ + /************************************************************** + * Funtions used ------------- + * + * UTILITY dmax, dmin + **************************************************************/ + static double svd_pythag(double a, double b) { + double p, r, s, t, u, temp; + + p = svd_dmax(Math.abs(a), Math.abs(b)); + if (p != 0.0) { + temp = svd_dmin(Math.abs(a), Math.abs(b)) / p; + r = temp * temp; + t = 4.0 + r; + while (t != 4.0) { + s = r / t; + u = 1.0 + 2.0 * s; + p *= u; + temp = s / u; + r *= temp * temp; + t = 4.0 + r; + } + } + return p; + } + + String SVDVersion = "1.34"; + long SVDVerbosity = 0; + + static void svdResetCounters() { + throw null; + } + + /**************************** Conversion *************************************/ + + /* Converts a sparse matrix to a dense one (without affecting the former) */ + static DMat svdConvertStoD(SMat S) { + throw null; + // int i, c; + // DMat D = svdNewDMat(S->rows, S->cols); + // if (!D) { + // svd_error("svdConvertStoD: failed to allocate D"); + // return NULL; + // } + // for (i = 0, c = 0; i < S->vals; i++) { + // while (S->pointr[c + 1] <= i) c++; + // D->value[S->rowind[i]][c] = S->value[i]; + // } + // return D; + } + + /* Converts a dense matrix to a sparse one (without affecting the dense one) */ + static SMat svdConvertDtoS(DMat D) { + SMat S; + int i, j, n; + // n = number of non-zero elements + for (i = 0, n = 0; i < D.rows; i++) { + for (j = 0; j < D.cols; j++) { + if (D.value[i][j] != 0) n++; + } + } + + S = new SMat(D.rows, D.cols, n); + for (j = 0, n = 0; j < D.cols; j++) { + S.pointr[j] = n; + for (i = 0; i < D.rows; i++) + if (D.value[i][j] != 0) { + S.rowind[n] = i; + S.value[n] = D.value[i][j]; + n++; + } + } + S.pointr[S.cols] = S.vals; + return S; + } + + /* Transposes a dense matrix. */ + static DMat svdTransposeD(DMat D) { + int r, c; + DMat N = new DMat(D.cols, D.rows); + for (r = 0; r < D.rows; r++) + for (c = 0; c < D.cols; c++) + N.value[c][r] = D.value[r][c]; + return N; + } + + /* Efficiently transposes a sparse matrix. */ + static SMat svdTransposeS(SMat S) { + int r, c, i, j; + SMat N = new SMat(S.cols, S.rows, S.vals); + /* Count number nz in each row. */ + for (i = 0; i < S.vals; i++) + N.pointr[S.rowind[i]]++; + /* Fill each cell with the starting point of the previous row. */ + N.pointr[S.rows] = S.vals - N.pointr[S.rows - 1]; + for (r = S.rows - 1; r > 0; r--) + N.pointr[r] = N.pointr[r + 1] - N.pointr[r - 1]; + N.pointr[0] = 0; + /* Assign the new columns and values. */ + for (c = 0, i = 0; c < S.cols; c++) { + for (; i < S.pointr[c + 1]; i++) { + r = S.rowind[i]; + j = N.pointr[r + 1]++; + N.rowind[j] = c; + N.value[j] = S.value[i]; + } + } + return N; + } + + /************************************************************************* + (c) Copyright 2003 + Douglas Rohde + +adapted from SVDPACKC, which is + + (c) Copyright 1993 + University of Tennessee + All Rights Reserved + *************************************************************************/ + + static int MAXLL = 2; + + enum storeVals {STORQ, RETRQ, STORP, RETRP}; + + static String[] error_msg = { /* error messages used by function * + * check_parameters */ + null, + "", + "ENDL MUST BE LESS THAN ENDR", + "REQUESTED DIMENSIONS CANNOT EXCEED NUM ITERATIONS", + "ONE OF YOUR DIMENSIONS IS LESS THAN OR EQUAL TO ZERO", + "NUM ITERATIONS (NUMBER OF LANCZOS STEPS) IS INVALID", + "REQUESTED DIMENSIONS (NUMBER OF EIGENPAIRS DESIRED) IS INVALID", + "6*N+4*ITERATIONS+1 + ITERATIONS*ITERATIONS CANNOT EXCEED NW", + "6*N+4*ITERATIONS+1 CANNOT EXCEED NW", null}; + + double[][] LanStore; + double[] OPBTemp; + double eps, eps1, reps, eps34; + long ierr; + /* +double rnm, anorm, tol; +FILE *fp_out1, *fp_out2; + */ + + /*********************************************************************** + * * + * main() * + * Sparse SVD(A) via Eigensystem of A'A symmetric Matrix * + * (double precision) * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +This sample program uses landr to compute singular triplets of A via +the equivalent symmetric eigenvalue problem + +B x = lambda x, where x' = (u',v'), lambda = sigma**2, +where sigma is a singular value of A, + +B = A'A , and A is m (nrow) by n (ncol) (nrow >> ncol), + +so that {u,sqrt(lambda),v} is a singular triplet of A. +(A' = transpose of A) + +User supplied routines: svd_opa, opb, store, timer + +svd_opa( x,y) takes an n-vector x and returns A*x in y. +svd_opb(ncol,x,y) takes an n-vector x and returns B*x in y. + +Based on operation flag isw, store(n,isw,j,s) stores/retrieves +to/from storage a vector of length n in s. + +User should edit timer() with an appropriate call to an intrinsic +timing routine that returns elapsed user time. + + +External parameters +------------------- + +Defined and documented in las2.h + + +Local parameters +---------------- + +(input) +endl left end of interval containing unwanted eigenvalues of B +endr right end of interval containing unwanted eigenvalues of B +kappa relative accuracy of ritz values acceptable as eigenvalues +of B +vectors is not equal to 1 +r work array +n dimension of the eigenproblem for matrix B (ncol) +dimensions upper limit of desired number of singular triplets of A +iterations upper limit of desired number of Lanczos steps +nnzero number of nonzeros in A +vectors 1 indicates both singular values and singular vectors are +wanted and they can be found in output file lav2; +0 indicates only singular values are wanted + +(output) +ritz array of ritz values +bnd array of error bounds +d array of singular values +memory total memory allocated in bytes to solve the B-eigenproblem + + +Functions used +-------------- + +BLAS svd_daxpy, svd_dscal, svd_ddot +USER svd_opa, svd_opb, timer +MISC write_header, check_parameters +LAS2 landr + + +Precision +--------- + +All floating-point calculations are done in double precision; +variables are declared as long and double. + + +LAS2 development +---------------- + +LAS2 is a C translation of the Fortran-77 LAS2 from the SVDPACK +library written by Michael W. Berry, University of Tennessee, +Dept. of Computer Science, 107 Ayres Hall, Knoxville, TN, 37996-1301 + +31 Jan 1992: Date written + +Theresa H. Do +University of Tennessee +Dept. of Computer Science +107 Ayres Hall +Knoxville, TN, 37996-1301 +internet: tdo@cs.utk.edu + + ***********************************************************************/ + + /*********************************************************************** + * * + * check_parameters() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- +Function validates input parameters and returns error code (long) + +Parameters +---------- +(input) +dimensions upper limit of desired number of eigenpairs of B +iterations upper limit of desired number of lanczos steps +n dimension of the eigenproblem for matrix B +endl left end of interval containing unwanted eigenvalues of B +endr right end of interval containing unwanted eigenvalues of B +vectors 1 indicates both eigenvalues and eigenvectors are wanted +and they can be found in lav2; 0 indicates eigenvalues only +nnzero number of nonzero elements in input matrix (matrix A) + + ***********************************************************************/ + + static int check_parameters(SMat A, long dimensions, long iterations, + double endl, double endr, boolean b) { + int error_index; + error_index = 0; + + if (endl >/*=*/ endr) error_index = 2; + else if (dimensions > iterations) error_index = 3; + else if (A.cols <= 0 || A.rows <= 0) error_index = 4; + /*else if (n > A->cols || n > A->rows) error_index = 1;*/ + else if (iterations <= 0 || iterations > A.cols || iterations > A.rows) + error_index = 5; + else if (dimensions <= 0 || dimensions > iterations) error_index = 6; + if (0 != error_index) + svd_error("svdLAS2 parameter error: %s\n", error_msg[error_index]); + return(error_index); + } + + /*********************************************************************** + * * + * write_header() * + * Function writes out header of output file containing ritz values * + * * + ***********************************************************************/ + + void write_header(long iterations, long dimensions, double endl, double endr, + boolean b, double kappa, long nrow, long ncol, + long vals) { + printf("SOLVING THE [A^TA] EIGENPROBLEM\n"); + printf("NO. OF ROWS = %6d\n", nrow); + printf("NO. OF COLUMNS = %6d\n", ncol); + printf("NO. OF NON-ZERO VALUES = %6d\n", vals); + printf("MATRIX DENSITY = %6.2f%%\n", + ((float) vals / nrow) * 100 / ncol); + /* printf("ORDER OF MATRIX A = %5ld\n", n); */ + printf("MAX. NO. OF LANCZOS STEPS = %6d\n", iterations); + printf("MAX. NO. OF EIGENPAIRS = %6d\n", dimensions); + printf("LEFT END OF THE INTERVAL = %9.2E\n", endl); + printf("RIGHT END OF THE INTERVAL = %9.2E\n", endr); + printf("KAPPA = %9.2E\n", kappa); + /* printf("WANT S-VECTORS? [T/F] = %c\n", (vectors) ? 'T' : 'F'); */ + printf("\n"); + return; + } + + static void printf(String fmt, Object ... args) { + System.out.printf(fmt, args); + } + + + /*********************************************************************** + * * + * landr() * + * Lanczos algorithm with selective orthogonalization * + * Using Simon's Recurrence * + * (double precision) * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +landr() is the LAS2 driver routine that, upon entry, +(1) checks for the validity of input parameters of the +B-eigenproblem +(2) determines several machine constants +(3) makes a Lanczos run +(4) calculates B-eigenvectors (singular vectors of A) if requested +by user + + +arguments +--------- + +(input) +n dimension of the eigenproblem for A'A +iterations upper limit of desired number of Lanczos steps +dimensions upper limit of desired number of eigenpairs +nnzero number of nonzeros in matrix A +endl left end of interval containing unwanted eigenvalues of B +endr right end of interval containing unwanted eigenvalues of B +vectors 1 indicates both eigenvalues and eigenvectors are wanted +and they can be found in output file lav2; +0 indicates only eigenvalues are wanted +kappa relative accuracy of ritz values acceptable as eigenvalues +of B (singular values of A) +r work array + +(output) +j number of Lanczos steps actually taken +neig number of ritz values stabilized +ritz array to hold the ritz values +bnd array to hold the error bounds + + +External parameters +------------------- + +Defined and documented in las2.h + + +local parameters +------------------- + +ibeta radix for the floating-point representation +it number of base ibeta digits in the floating-point significand +irnd floating-point addition rounded or chopped +machep machine relative precision or round-off error +negeps largest negative integer +wptr array of pointers each pointing to a work space + + +Functions used +-------------- + +MISC svd_dmax, machar, check_parameters +LAS2 ritvec, lanso + + ***********************************************************************/ + + static void fake_memset_127(double[] a) { + double d = Double.longBitsToDouble(0x7f7f7f7f7f7f7f7fL); + for (int n = 0; n < a.length; n++) { + a[n] = d; + } + } + + public SVDRec svdLAS2A(SMat A, int dimensions) { + double[] end = new double[] {-1.0e-30, 1.0e-30}; + double kappa = 1e-6; + if (A == null) { + svd_error("svdLAS2A called with NULL array\n"); + return null; + } + return svdLAS2(A, dimensions, 0, end, kappa); + } + + public SVDRec svdLAS2(SMat A, int dimensions, int iterations, double[] end, + double kappa) { + boolean transpose = false; + int n, m, i, steps; + double[][] wptr = new double[10][]; + double[] ritz; + double[] bnd; + SVDRec R = null; + + //svdResetCounters(); + + m = svd_imin(A.rows, A.cols); + if (dimensions <= 0 || dimensions > m) + dimensions = m; + if (iterations <= 0 || iterations > m) + iterations = m; + if (iterations < dimensions) iterations = dimensions; + + /* Write output header */ + if (SVDVerbosity > 0) + write_header(iterations, dimensions, end[0], end[1], true, kappa, A.rows, + A.cols, A.vals); + + /* Check parameters */ + if (0 != check_parameters(A, dimensions, iterations, end[0], end[1], true)) { + if (A.rows == 0 || A.cols == 0) { + R = new SVDRec(); + R.S = new double[0]; + R.Ut = new DMat(0,A.rows); + R.Vt = new DMat(0,A.cols); + return R; + } + return null; + } + + /* If A is wide, the SVD is computed on its transpose for speed. */ + if (A.cols >= A.rows * 1.2) { + if (SVDVerbosity > 0) printf("TRANSPOSING THE MATRIX FOR SPEED\n"); + transpose = true; + A = svdTransposeS(A); + } + + n = A.cols; + + machar(); // XXX has side effect, computes machine precision + + eps1 = eps * Math.sqrt((double) n); + reps = Math.sqrt(eps); + eps34 = reps * Math.sqrt(reps); + + /* Allocate temporary space. */ + wptr[0] = new double[n]; + wptr[1] = new double[n]; + wptr[2] = new double[n]; + wptr[3] = new double[n]; + wptr[4] = new double[n]; + wptr[5] = new double[n]; + wptr[6] = new double[iterations]; + wptr[7] = new double[iterations]; + wptr[8] = new double[iterations]; + wptr[9] = new double[iterations + 1]; + + ritz = new double[iterations + 1]; + bnd = new double[iterations + 1]; + fake_memset_127(bnd); + + LanStore = new double[iterations + MAXLL][]; + OPBTemp = svd_doubleArray(A.rows, false, "las2: OPBTemp"); + + /* Actually run the lanczos thing: */ + int[] ref_neig = new int[] { 0 }; // XXX wrap neig + steps = lanso(A, iterations, dimensions, end[0], end[1], ritz, bnd, wptr, + ref_neig, n); + int neig = ref_neig[0]; // XXX unwrap neig + + /* Print some stuff. */ + if (SVDVerbosity > 0) { + printf("NUMBER OF LANCZOS STEPS = %6d\n" + + "RITZ VALUES STABILIZED = %6d\n", steps + 1, neig); + } + if (SVDVerbosity > 2) { + printf("\nCOMPUTED RITZ VALUES (ERROR BNDS)\n"); + for (i = 0; i <= steps; i++) + printf("%3d %22.14E (%11.2E)\n", i + 1, ritz[i], bnd[i]); + } + + wptr[0] = null; + wptr[1] = null; + wptr[2] = null; + wptr[3] = null; + wptr[4] = null; + wptr[7] = null; + wptr[8] = null; + + /* Compute eigenvectors */ + kappa = svd_dmax(fabs(kappa), eps34); + + R = new SVDRec(); + R.d = /*svd_imin(nsig, dimensions)*/dimensions; + R.Ut = new DMat(R.d, A.rows); + R.S = svd_doubleArray(R.d, true, "las2: R->s"); + R.Vt = new DMat(R.d, A.cols); + + ritvec(n, A, R, kappa, ritz, bnd, wptr[6], wptr[9], wptr[5], steps, + neig); + + if (SVDVerbosity > 1) { + printf("\nSINGULAR VALUES: "); + svdWriteDenseArray(R.S, R.d, "-", false); + + if (SVDVerbosity > 2) { + printf("\nLEFT SINGULAR VECTORS (transpose of U): "); + // svdWriteDenseMatrix(R.Ut, "-", SVD_F_DT); TODO outout + + printf("\nRIGHT SINGULAR VECTORS (transpose of V): "); + // svdWriteDenseMatrix(R.Vt, "-", SVD_F_DT); TODO output + } + } else if (SVDVerbosity > 0) + printf("SINGULAR VALUES FOUND = %6d\n", R.d); + + /* This swaps and transposes the singular matrices if A was transposed. */ + if (transpose) { + DMat swap = R.Ut; + R.Ut = R.Vt; + R.Vt = swap; + } + + return R; + } + + + static void svdWriteDenseArray(double[] s, int d, String string, boolean b) { + System.out.println("Declare victory!"); // TODO better print + } + + /*********************************************************************** + * * + * ritvec() * + * Function computes the singular vectors of matrix A * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +This function is invoked by landr() only if eigenvectors of the A'A +eigenproblem are desired. When called, ritvec() computes the +singular vectors of A and writes the result to an unformatted file. + + +Parameters +---------- + +(input) +nrow number of rows of A +steps number of Lanczos iterations performed +fp_out2 pointer to unformatted output file +n dimension of matrix A +kappa relative accuracy of ritz values acceptable as +eigenvalues of A'A +ritz array of ritz values +bnd array of error bounds +alf array of diagonal elements of the tridiagonal matrix T +bet array of off-diagonal elements of T +w1, w2 work space + +(output) +xv1 array of eigenvectors of A'A (right singular vectors of A) +ierr error code +0 for normal return from imtql2() +k if convergence did not occur for k-th eigenvalue in +imtql2() +nsig number of accepted ritz values based on kappa + +(local) +s work array which is initialized to the identity matrix +of order (j + 1) upon calling imtql2(). After the call, +s contains the orthonormal eigenvectors of the symmetric +tridiagonal matrix T + +Functions used +-------------- + +BLAS svd_dscal, svd_dcopy, svd_daxpy +USER store +imtql2 + + ***********************************************************************/ + + static void rotateArray(double[][] a, int size, int x) { + + // TODO fix me, in Java we cannot access a[] as a[][] !!! + + int i, j, n, start; + double t1, t2; + if (x == 0) return; + j = start = 0; + t1 = a[0][0]; + int len = a.length; + for (i = 0; i < size; i++) { + n = (j >= x) ? j - x : j + size - x; + t2 = a[n % len][n / len]; + a[n % len][n / len] = t1; + t1 = t2; + j = n; + if (j == start) { + start = ++j; + t1 = a[j % len][j / len]; + } + } + } + + long ritvec(int n, SMat A, SVDRec R, double kappa, double[] ritz, double[] bnd, + double[] alf, double[] bet, double[] w2, int steps, long neig) { + int k, x, i, jsq, js, tmp, id2, nsig; + double[] s; + double[] xv2; + double tmp0, tmp1, xnorm; + double[] w1 = R.Vt.value[0]; + + js = steps + 1; + jsq = js * js; + /*size = sizeof(double) * n;*/ + + s = svd_doubleArray(jsq, true, "ritvec: s"); + xv2 = svd_doubleArray(n, false, "ritvec: xv2"); + + /* initialize s to an identity matrix */ + for (i = 0; i < jsq; i+= (js+1)) { + s[i] = 1.0; + } + svd_dcopy(js, alf, 1, w1, -1); + svd_dcopy(steps, bet, 1, 1, w2, 1, -1); // WAS svd_dcopy(steps, &bet[1], 1, &w2[1], -1); + + /* on return from imtql2(), w1 contains eigenvalues in ascending + * order and s contains the corresponding eigenvectors */ + imtql2(js, js, w1, w2, s); + if (0 != ierr) return 0; // TODO use exception here? + + /*fwrite((char *)&n, sizeof(n), 1, fp_out2); +fwrite((char *)&js, sizeof(js), 1, fp_out2); +fwrite((char *)&kappa, sizeof(kappa), 1, fp_out2);*/ + /*id = 0;*/ + nsig = 0; + x = 0; + id2 = jsq - js; + for (k = 0; k < js; k++) { + tmp = id2; + if (bnd[k] <= kappa * Math.abs(ritz[k]) && k > js-neig-1) { + if (--x < 0) x = R.d - 1; + w1 = R.Vt.value[x]; + for (i = 0; i < n; i++) w1[i] = 0.0; + for (i = 0; i < js; i++) { + store(n, storeVals.RETRQ, i, w2); + svd_daxpy(n, s[tmp], w2, 1, w1, 1); + tmp -= js; + } + /*fwrite((char *)w1, size, 1, fp_out2);*/ + + /* store the w1 vector row-wise in array xv1; + * size of xv1 is (steps+1) * (nrow+ncol) elements + * and each vector, even though only ncol long, + * will have (nrow+ncol) elements in xv1. + * It is as if xv1 is a 2-d array (steps+1) by + * (nrow+ncol) and each vector occupies a row */ + + /* j is the index in the R arrays, which are sorted by high to low +singular values. */ + + /*for (i = 0; i < n; i++) R->Vt->value[x]xv1[id++] = w1[i];*/ + /*id += nrow;*/ + nsig++; + } + id2++; + } + s = null; + + /* Rotate the singular vectors and values. */ + /* x is now the location of the highest singular value. */ + rotateArray(R.Vt.value, R.Vt.rows * R.Vt.cols, + x * R.Vt.cols); + R.d = svd_imin(R.d, nsig); + for (x = 0; x < R.d; x++) { + /* multiply by matrix B first */ + svd_opb(A, R.Vt.value[x], xv2, OPBTemp); + tmp0 = svd_ddot(n, R.Vt.value[x], 1, xv2, 1); + svd_daxpy(n, -tmp0, R.Vt.value[x], 1, xv2, 1); + tmp0 = Math.sqrt(tmp0); + xnorm = Math.sqrt(svd_ddot(n, xv2, 1, xv2, 1)); + + /* multiply by matrix A to get (scaled) left s-vector */ + svd_opa(A, R.Vt.value[x], R.Ut.value[x]); + tmp1 = 1.0 / tmp0; + svd_dscal(A.rows, tmp1, R.Ut.value[x], 1); + xnorm *= tmp1; + bnd[i] = xnorm; + R.S[x] = tmp0; + } + + xv2 = null; + return nsig; + } + + /*********************************************************************** + * * + * lanso() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +Function determines when the restart of the Lanczos algorithm should +occur and when it should terminate. + +Arguments +--------- + +(input) +n dimension of the eigenproblem for matrix B +iterations upper limit of desired number of lanczos steps +dimensions upper limit of desired number of eigenpairs +endl left end of interval containing unwanted eigenvalues +endr right end of interval containing unwanted eigenvalues +ritz array to hold the ritz values +bnd array to hold the error bounds +wptr array of pointers that point to work space: +wptr[0]-wptr[5] six vectors of length n +wptr[6] array to hold diagonal of the tridiagonal matrix T +wptr[9] array to hold off-diagonal of T +wptr[7] orthogonality estimate of Lanczos vectors at +step j +wptr[8] orthogonality estimate of Lanczos vectors at +step j-1 + +(output) +j number of Lanczos steps actually taken +neig number of ritz values stabilized +ritz array to hold the ritz values +bnd array to hold the error bounds +ierr (globally declared) error flag +ierr = 8192 if stpone() fails to find a starting vector +ierr = k if convergence did not occur for k-th eigenvalue +in imtqlb() +ierr = 0 otherwise + + +Functions used +-------------- + +LAS stpone, error_bound, lanczos_step +MISC svd_dsort2 +UTILITY svd_imin, svd_imax + + ***********************************************************************/ + + int lanso(SMat A, int iterations, int dimensions, double endl, + double endr, double[] ritz, double[] bnd, double[][] wptr, + int[] neigp, int n) { + double[] alf, eta, oldeta, bet, wrk; + int ll, neig, j = 0, intro = 0, last, i, l, id3, first; + boolean ENOUGH; + + alf = wptr[6]; + eta = wptr[7]; + oldeta = wptr[8]; + bet = wptr[9]; + wrk = wptr[5]; + + /* take the first step */ + double[] ref_rnm = new double[] { 0d }; // XXX wrap + double[] ref_tol = new double[] { 0d }; // XXX wrap + stpone(A, wptr, ref_rnm, ref_tol, n); + double tol = ref_tol[0]; // XXX unwrap + double rnm = ref_rnm[0]; // XXX unwrap + + if (/* !rnm */ 0 == rnm || 0 != ierr) return 0; + eta[0] = eps1; + oldeta[0] = eps1; + ll = 0; + first = 1; + last = svd_imin(dimensions + svd_imax(8, dimensions), iterations); + ENOUGH = false; + /*id1 = 0;*/ + while (/*id1 < dimensions && */!ENOUGH) { + if (rnm <= tol) rnm = 0.0; + + /* the actual lanczos loop */ + int[] ref_ll = new int[] { ll }; // XXX wrap + boolean[] ref_ENOUGH = new boolean[] { ENOUGH }; // XXX wrap + double[] ref2_rnm = new double[] { rnm }; // XXX wrap + double[] ref2_tol = new double[] { tol }; // XXX wrap + j = lanczos_step(A, first, last, wptr, alf, eta, oldeta, bet, ref_ll, + ref_ENOUGH, ref2_rnm, ref2_tol, n); + ll = ref_ll[0]; // XXX unwrap + ENOUGH = ref_ENOUGH[0]; // XXX unwrap + tol = ref2_tol[0]; // XXX unwrap + rnm = ref2_rnm[0]; // XXX unwrap + + if (ENOUGH) j = j - 1; + else j = last - 1; + first = j + 1; + bet[j+1] = rnm; + + /* analyze T */ + l = 0; + for (int id2 = 0; id2 < j; id2++) { + if (l > j) break; + for (i = l; i <= j; i++) if (/* !bet[i+1] */ 0 == bet[i+1]) break; + if (i > j) i = j; + + /* now i is at the end of an unreduced submatrix */ + svd_dcopy(i-l+1, alf, l, 1, ritz, l, -1); // WAS svd_dcopy(i-l+1, &alf[l], 1, &ritz[l], -1); + svd_dcopy(i-l, bet, l+1, 1, wrk, l+1, -1); // WAS svd_dcopy(i-l, &bet[l+1], 1, &wrk[l+1], -1); + + imtqlb(i-l+1, ritz, wrk, bnd, l); // TODO start at l + + if (0 != ierr) { + svd_error("svdLAS2: imtqlb failed to converge (ierr = %ld)\n", ierr); + svd_error(" l = %ld i = %ld\n", l, i); + for (id3 = l; id3 <= i; id3++) + svd_error(" %ld %lg %lg %lg\n", + id3, ritz[id3], wrk[id3], bnd[id3]); + } + for (id3 = l; id3 <= i; id3++) + bnd[id3] = rnm * fabs(bnd[id3]); + l = i + 1; + } + + /* sort eigenvalues into increasing order */ + svd_dsort2((j+1) / 2, j + 1, ritz, bnd); + + /* for (i = 0; i < iterations; i++) +printf("%f ", ritz[i]); +printf("\n"); */ + + /* massage error bounds for very close ritz values */ + boolean[] ref2_ENOUGH = new boolean[] { ENOUGH }; // XXX wrap + neig = error_bound(ref2_ENOUGH, endl, endr, ritz, bnd, j, tol); + ENOUGH = ref2_ENOUGH[0]; // XXX unwrap + neigp[0] = neig; + + /* should we stop? */ + if (neig < dimensions) { + if (/* !neig */ 0 == neig) { + last = first + 9; + intro = first; + } else last = first + svd_imax(3, 1 + ((j - intro) * (dimensions-neig)) / + neig); + last = svd_imin(last, iterations); + } else ENOUGH = true; + ENOUGH = ENOUGH || first >= iterations; + /* id1++; */ + /* printf("id1=%d dimen=%d first=%d\n", id1, dimensions, first); */ + } + store(n, storeVals.STORQ, j, wptr[1]); + return j; + } + + + /*********************************************************************** + * * + * lanczos_step() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +Function embodies a single Lanczos step + +Arguments +--------- + +(input) +n dimension of the eigenproblem for matrix B +first start of index through loop +last end of index through loop +wptr array of pointers pointing to work space +alf array to hold diagonal of the tridiagonal matrix T +eta orthogonality estimate of Lanczos vectors at step j +oldeta orthogonality estimate of Lanczos vectors at step j-1 +bet array to hold off-diagonal of T +ll number of intitial Lanczos vectors in local orthog. +(has value of 0, 1 or 2) +enough stop flag + +Functions used +-------------- + +BLAS svd_ddot, svd_dscal, svd_daxpy, svd_datx, svd_dcopy +USER store +LAS purge, ortbnd, startv +UTILITY svd_imin, svd_imax + + ***********************************************************************/ + + int lanczos_step(SMat A, int first, int last, double[][] wptr, + double[] alf, double[] eta, double[] oldeta, + double[] bet, int[] ll, boolean[] refEnough, double[] rnmp, + double[] tolp, int n) { + double t; + double[] mid; + double rnm = rnmp[0]; + double tol = tolp[0]; + double anorm; + int i, j; + + for (j=first; j 4.0 * Math.abs(alf[j]))) + ll[0] = j; + for (i=0; i < svd_imin(ll[0], j-1); i++) { + store(n, RETRP, i, wptr[5]); + t = svd_ddot(n, wptr[5], 1, wptr[0], 1); + store(n, RETRQ, i, wptr[5]); + svd_daxpy(n, -t, wptr[5], 1, wptr[0], 1); + eta[i] = eps1; + oldeta[i] = eps1; + } + + /* extended local reorthogonalization */ + t = svd_ddot(n, wptr[0], 1, wptr[4], 1); + svd_daxpy(n, -t, wptr[2], 1, wptr[0], 1); + if (bet[j] > 0.0) bet[j] = bet[j] + t; + t = svd_ddot(n, wptr[0], 1, wptr[3], 1); + svd_daxpy(n, -t, wptr[1], 1, wptr[0], 1); + alf[j] = alf[j] + t; + svd_dcopy(n, wptr[0], 1, wptr[4], 1); + rnm = Math.sqrt(svd_ddot(n, wptr[0], 1, wptr[4], 1)); + anorm = bet[j] + Math.abs(alf[j]) + rnm; + tol = reps * anorm; + + /* update the orthogonality bounds */ + ortbnd(alf, eta, oldeta, bet, j, rnm); + + /* restore the orthogonality state when needed */ + double[] ref_rnm = new double[] { rnm }; // XXX wrap + purge(n, ll[0], wptr[0], wptr[1], wptr[4], wptr[3], wptr[5], eta, oldeta, + j, ref_rnm, tol); + rnm = ref_rnm[0]; // XXX unwrap + if (rnm <= tol) rnm = 0.0; + } + rnmp[0] = rnm; + tolp[0] = tol; + return j; + } + + /*********************************************************************** + * * + * ortbnd() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +Funtion updates the eta recurrence + +Arguments +--------- + +(input) +alf array to hold diagonal of the tridiagonal matrix T +eta orthogonality estimate of Lanczos vectors at step j +oldeta orthogonality estimate of Lanczos vectors at step j-1 +bet array to hold off-diagonal of T +n dimension of the eigenproblem for matrix B +j dimension of T +rnm norm of the next residual vector +eps1 roundoff estimate for dot product of two unit vectors + +(output) +eta orthogonality estimate of Lanczos vectors at step j+1 +oldeta orthogonality estimate of Lanczos vectors at step j + + +Functions used +-------------- + +BLAS svd_dswap + + ***********************************************************************/ + + void ortbnd(double[] alf, double[] eta, double[] oldeta, double[] bet, int step, + double rnm) { + int i; + if (step < 1) return; + if (/* rnm */ 0 != rnm) { + if (step > 1) { + oldeta[0] = (bet[1] * eta[1] + (alf[0]-alf[step]) * eta[0] - + bet[step] * oldeta[0]) / rnm + eps1; + } + for (i=1; i<=step-2; i++) + oldeta[i] = (bet[i+1] * eta[i+1] + (alf[i]-alf[step]) * eta[i] + + bet[i] * eta[i-1] - bet[step] * oldeta[i])/rnm + eps1; + } + oldeta[step-1] = eps1; + svd_dswap(step, oldeta, 1, eta, 1); + eta[step] = eps1; + return; + } + + /*********************************************************************** + * * + * purge() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +Function examines the state of orthogonality between the new Lanczos +vector and the previous ones to decide whether re-orthogonalization +should be performed + + +Arguments +--------- + +(input) +n dimension of the eigenproblem for matrix B +ll number of intitial Lanczos vectors in local orthog. +r residual vector to become next Lanczos vector +q current Lanczos vector +ra previous Lanczos vector +qa previous Lanczos vector +wrk temporary vector to hold the previous Lanczos vector +eta state of orthogonality between r and prev. Lanczos vectors +oldeta state of orthogonality between q and prev. Lanczos vectors +j current Lanczos step + +(output) +r residual vector orthogonalized against previous Lanczos +vectors +q current Lanczos vector orthogonalized against previous ones + + +Functions used +-------------- + +BLAS svd_daxpy, svd_dcopy, svd_idamax, svd_ddot +USER store + + ***********************************************************************/ + + void purge(int n, int ll, double[] r, double[] q, double[] ra, + double[] qa, double[] wrk, double[] eta, double[] oldeta, int step, + double[] rnmp, double tol) { + double t, tq, tr, reps1; + double rnm = rnmp[0]; + int k, iteration, i; + boolean flag; + + if (step < ll+2) return; + + k = svd_idamax(step - (ll+1), eta, ll, 1) + ll; // TODO eta starting at ll + if (Math.abs(eta[k]) > reps) { + reps1 = eps1 / reps; + iteration = 0; + flag = true; + while (iteration < 2 && flag) { + if (rnm > tol) { + + /* bring in a lanczos vector t and orthogonalize both + * r and q against it */ + tq = 0.0; + tr = 0.0; + for (i = ll; i < step; i++) { + store(n, RETRQ, i, wrk); + t = -svd_ddot(n, qa, 1, wrk, 1); + tq += Math.abs(t); + svd_daxpy(n, t, wrk, 1, q, 1); + t = -svd_ddot(n, ra, 1, wrk, 1); + tr += Math.abs(t); + svd_daxpy(n, t, wrk, 1, r, 1); + } + svd_dcopy(n, q, 1, qa, 1); + t = -svd_ddot(n, r, 1, qa, 1); + tr += Math.abs(t); + svd_daxpy(n, t, q, 1, r, 1); + svd_dcopy(n, r, 1, ra, 1); + rnm = Math.sqrt(svd_ddot(n, ra, 1, r, 1)); + if (tq <= reps1 && tr <= reps1 * rnm) flag = false; + } + iteration++; + } + for (i = ll; i <= step; i++) { + eta[i] = eps1; + oldeta[i] = eps1; + } + } + rnmp[0] = rnm; + return; + } + + + /*********************************************************************** + * * + * stpone() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +Function performs the first step of the Lanczos algorithm. It also +does a step of extended local re-orthogonalization. + +Arguments +--------- + +(input) +n dimension of the eigenproblem for matrix B + +(output) +ierr error flag +wptr array of pointers that point to work space that contains +wptr[0] r[j] +wptr[1] q[j] +wptr[2] q[j-1] +wptr[3] p +wptr[4] p[j-1] +wptr[6] diagonal elements of matrix T + + +Functions used +-------------- + +BLAS svd_daxpy, svd_datx, svd_dcopy, svd_ddot, svd_dscal +USER store, opb +LAS startv + + ***********************************************************************/ + + static double fabs(double a) { + return Math.abs(a); + } + + void stpone(SMat A, double[][] wrkptr, double[] rnmp, double[] tolp, int n) { + double t, rnm, anorm; + double[] alf = wrkptr[6]; + + /* get initial vector; default is random */ + rnm = startv(A, wrkptr, 0, n); + if (rnm == 0.0 || ierr != 0) return; + + /* normalize starting vector */ + t = 1.0 / rnm; + svd_datx(n, t, wrkptr[0], 1, wrkptr[1], 1); + svd_dscal(n, t, wrkptr[3], 1); + + /* take the first step */ + svd_opb(A, wrkptr[3], wrkptr[0], OPBTemp); + alf[0] = svd_ddot(n, wrkptr[0], 1, wrkptr[3], 1); + svd_daxpy(n, -alf[0], wrkptr[1], 1, wrkptr[0], 1); + t = svd_ddot(n, wrkptr[0], 1, wrkptr[3], 1); + svd_daxpy(n, -t, wrkptr[1], 1, wrkptr[0], 1); + alf[0] += t; + svd_dcopy(n, wrkptr[0], 1, wrkptr[4], 1); + rnm = Math.sqrt(svd_ddot(n, wrkptr[0], 1, wrkptr[4], 1)); + anorm = rnm + fabs(alf[0]); + rnmp[0] = rnm; + tolp[0] = reps * anorm; + + return; + } + + /*********************************************************************** + * * + * startv() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +Function delivers a starting vector in r and returns |r|; it returns +zero if the range is spanned, and ierr is non-zero if no starting +vector within range of operator can be found. + +Parameters +--------- + +(input) +n dimension of the eigenproblem matrix B +wptr array of pointers that point to work space +j starting index for a Lanczos run +eps machine epsilon (relative precision) + +(output) +wptr array of pointers that point to work space that contains +r[j], q[j], q[j-1], p[j], p[j-1] +ierr error flag (nonzero if no starting vector can be found) + +Functions used +-------------- + +BLAS svd_ddot, svd_dcopy, svd_daxpy +USER svd_opb, store +MISC random + + ***********************************************************************/ + + double startv(SMat A, double[][] wptr, int step, int n) { + double rnm2, t; + double[] r; + //long irand; + int id, i; + + /* get initial vector; default is random */ + rnm2 = svd_ddot(n, wptr[0], 1, wptr[0], 1); + Random random = new Random(918273L + step); // irand = 918273 + step; + r = wptr[0]; + for (id = 0; id < 3; id++) { + if (id > 0 || step > 0 || rnm2 == 0) + for (i = 0; i < n; i++) r[i] = random.nextDouble(); // svd_random2(&irand); + svd_dcopy(n, wptr[0], 1, wptr[3], 1); + + /* apply operator to put r in range (essential if m singular) */ + svd_opb(A, wptr[3], wptr[0], OPBTemp); + svd_dcopy(n, wptr[0], 1, wptr[3], 1); + rnm2 = svd_ddot(n, wptr[0], 1, wptr[3], 1); + if (rnm2 > 0.0) break; + } + + /* fatal error */ + if (rnm2 <= 0.0) { + ierr = 8192; + return(-1); // TODO better error handling + } + if (step > 0) { + for (i = 0; i < step; i++) { + store(n, RETRQ, i, wptr[5]); + t = -svd_ddot(n, wptr[3], 1, wptr[5], 1); + svd_daxpy(n, t, wptr[5], 1, wptr[0], 1); + } + + /* make sure q[step] is orthogonal to q[step-1] */ + t = svd_ddot(n, wptr[4], 1, wptr[0], 1); + svd_daxpy(n, -t, wptr[2], 1, wptr[0], 1); + svd_dcopy(n, wptr[0], 1, wptr[3], 1); + t = svd_ddot(n, wptr[3], 1, wptr[0], 1); + if (t <= eps * rnm2) t = 0.0; + rnm2 = t; + } + return(Math.sqrt(rnm2)); + } + + /*********************************************************************** + * * + * error_bound() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +Function massages error bounds for very close ritz values by placing +a gap between them. The error bounds are then refined to reflect +this. + + +Arguments +--------- + +(input) +endl left end of interval containing unwanted eigenvalues +endr right end of interval containing unwanted eigenvalues +ritz array to store the ritz values +bnd array to store the error bounds +enough stop flag + + +Functions used +-------------- + +BLAS svd_idamax +UTILITY svd_dmin + + ***********************************************************************/ + + int error_bound(boolean[] enough, double endl, double endr, + double[] ritz, double[] bnd, int step, double tol) { + int mid, neig; + int i; + double gapl, gap; + + /* massage error bounds for very close ritz values */ + mid = svd_idamax(step + 1, bnd, 0, 1); + + for (i=((step+1) + (step-1)) / 2; i >= mid + 1; i -= 1) + if (fabs(ritz[i-1] - ritz[i]) < eps34 * fabs(ritz[i])) + if (bnd[i] > tol && bnd[i-1] > tol) { + bnd[i-1] = Math.sqrt(bnd[i] * bnd[i] + bnd[i-1] * bnd[i-1]); + bnd[i] = 0.0; + } + + + for (i=((step+1) - (step-1)) / 2; i <= mid - 1; i +=1 ) + if (fabs(ritz[i+1] - ritz[i]) < eps34 * fabs(ritz[i])) + if (bnd[i] > tol && bnd[i+1] > tol) { + bnd[i+1] = Math.sqrt(bnd[i] * bnd[i] + bnd[i+1] * bnd[i+1]); + bnd[i] = 0.0; + } + + /* refine the error bounds */ + neig = 0; + gapl = ritz[step] - ritz[0]; + for (i = 0; i <= step; i++) { + gap = gapl; + if (i < step) gapl = ritz[i+1] - ritz[i]; + gap = svd_dmin(gap, gapl); + if (gap > bnd[i]) bnd[i] = bnd[i] * (bnd[i] / gap); + if (bnd[i] <= 16.0 * eps * fabs(ritz[i])) { + neig++; + if (!enough[0]) enough[0] = endl < ritz[i] && ritz[i] < endr; + } + } + return neig; + } + + /*********************************************************************** + * * + * imtqlb() * + * * + ***********************************************************************/ + /*********************************************************************** + +Description +----------- + +imtqlb() is a translation of a Fortran version of the Algol +procedure IMTQL1, Num. Math. 12, 377-383(1968) by Martin and +Wilkinson, as modified in Num. Math. 15, 450(1970) by Dubrulle. +Handbook for Auto. Comp., vol.II-Linear Algebra, 241-248(1971). +See also B. T. Smith et al, Eispack Guide, Lecture Notes in +Computer Science, Springer-Verlag, (1976). + +The function finds the eigenvalues of a symmetric tridiagonal +matrix by the implicit QL method. + + +Arguments +--------- + +(input) +n order of the symmetric tridiagonal matrix +d contains the diagonal elements of the input matrix +e contains the subdiagonal elements of the input matrix in its +last n-1 positions. e[0] is arbitrary + +(output) +d contains the eigenvalues in ascending order. if an error +exit is made, the eigenvalues are correct and ordered for +indices 0,1,...ierr, but may not be the smallest eigenvalues. +e has been destroyed. +ierr set to zero for normal return, j if the j-th eigenvalue has +not been determined after 30 iterations. + +Functions used +-------------- + +UTILITY svd_fsign +MISC svd_pythag + + ***********************************************************************/ + + void imtqlb(int n, double d[], double e[], double bnd[], int offset) { + double[] dn = new double[n]; + System.arraycopy(d, offset, dn, 0, n); + double[] en = new double[n]; + System.arraycopy(e, offset, en, 0, n); + double[] bndn = new double[n]; + System.arraycopy(bnd, offset, bndn, 0, n); + imtqlb(n, dn, en, bndn); + System.arraycopy(dn, 0, d, offset, n); + System.arraycopy(en, 0, e, offset, n); + System.arraycopy(bndn, 0, bnd, offset, n); + } + + void imtqlb(int n, double d[], double e[], double bnd[]) { + long iteration; + int last, i, m, l; + + /* various flags */ + boolean exchange, convergence, underflow; + + double b, test, g, r, s, c, p, f; + + if (n == 1) return; + ierr = 0; + bnd[0] = 1.0; + last = n - 1; + for (i = 1; i < n; i++) { + bnd[i] = 0.0; + e[i-1] = e[i]; + } + e[last] = 0.0; + for (l = 0; l < n; l++) { + iteration = 0; + while (iteration <= 30) { + for (m = l; m < n; m++) { + convergence = false; + if (m == last) break; + else { + test = fabs(d[m]) + fabs(d[m+1]); + if (test + fabs(e[m]) == test) convergence = true; + } + if (convergence) break; + } + p = d[l]; + f = bnd[l]; + if (m != l) { + if (iteration == 30) { + ierr = l; + return; + } + iteration += 1; + /*........ form shift ........*/ + g = (d[l+1] - p) / (2.0 * e[l]); + r = svd_pythag(g, 1.0); + g = d[m] - p + e[l] / (g + svd_fsign(r, g)); + s = 1.0; + c = 1.0; + p = 0.0; + underflow = false; + i = m - 1; + while (underflow == false && i >= l) { + f = s * e[i]; + b = c * e[i]; + r = svd_pythag(f, g); + e[i+1] = r; + if (r == 0.0) underflow = true; + else { + s = f / r; + c = g / r; + g = d[i+1] - p; + r = (d[i] - g) * s + 2.0 * c * b; + p = s * r; + d[i+1] = g + p; + g = c * r - b; + f = bnd[i+1]; + bnd[i+1] = s * bnd[i] + c * f; + bnd[i] = c * bnd[i] - s * f; + i--; + } + } /* end while (underflow != FALSE && i >= l) */ + /*........ recover from underflow .........*/ + if (underflow) { + d[i+1] -= p; + e[m] = 0.0; + } + else { + d[l] -= p; + e[l] = g; + e[m] = 0.0; + } + } /* end if (m != l) */ + else { + + /* order the eigenvalues */ + exchange = true; + if (l != 0) { + i = l; + while (i >= 1 && exchange == true) { + if (p < d[i-1]) { + d[i] = d[i-1]; + bnd[i] = bnd[i-1]; + i--; + } + else exchange = false; + } + } + if (exchange) i = 0; + d[i] = p; + bnd[i] = f; + iteration = 31; + } + } /* end while (iteration <= 30) */ + } /* end for (l=0; l= l) { + f = s * e[i]; + b = c * e[i]; + r = svd_pythag(f, g); + e[i+1] = r; + if (r == 0.0) underflow = true; + else { + s = f / r; + c = g / r; + g = d[i+1] - p; + r = (d[i] - g) * s + 2.0 * c * b; + p = s * r; + d[i+1] = g + p; + g = c * r - b; + + /* form vector */ + for (k = 0; k < nnm; k += n) { + index = k + i; + f = z[index+1]; + z[index+1] = s * z[index] + c * f; + z[index] = c * z[index] - s * f; + } + i--; + } + } /* end while (underflow != FALSE && i >= l) */ + /*........ recover from underflow .........*/ + if (underflow) { + d[i+1] -= p; + e[m] = 0.0; + } + else { + d[l] -= p; + e[l] = g; + e[m] = 0.0; + } + } + else break; + } /*...... end while (iteration <= 30) .........*/ + } /*...... end for (l=0; l= MAXLL) { + throw new Error("svdLAS2: store (STORP) called with j >= MAXLL"); + } + if (null == LanStore[j]) { + LanStore[j] = svd_doubleArray(n, false, "LanStore[j]"); + } + svd_dcopy(n, s, 1, LanStore[j], 1); + break; + case RETRP: + if (j >= MAXLL) { + svd_error("svdLAS2: store (RETRP) called with j >= MAXLL"); + break; + } + if (null == LanStore[j]) throw new Error(String.format( + "svdLAS2: store (RETRP) called on index %d (not allocated)", j)); + svd_dcopy(n, LanStore[j], 1, s, 1); + break; + } + return; + } + + /* File format has a funny header, then first entry index per column, then the +row for each entry, then the value for each entry. Indices count from 1. +Assumes A is initialized. */ + static SMat svdLoadSparseTextHBFile(File file) throws FileNotFoundException { + int i, x, rows, cols, vals, num_mat; + Scanner scanner = new Scanner(file); + SMat S; + /* Skip the header line: */ + scanner.nextLine(); + /* Skip the line giving the number of lines in this file: */ + scanner.nextLine(); + /* Read the line with useful dimensions: */ + scanner.next(); + rows = scanner.nextInt(); + cols = scanner.nextInt(); + vals = scanner.nextInt(); + num_mat = scanner.nextInt(); + scanner.nextLine(); + if (num_mat != 0) { + throw new Error("svdLoadSparseTextHBFile: I don't know how to handle a file " + + "with elemental matrices (last entry on header line 3)"); + } + /* Skip the line giving the formats: */ + scanner.nextLine(); + + S = new SMat(rows, cols, vals); + + /* Read column pointers. */ + for (i = 0; i <= S.cols; i++) { + x = scanner.nextInt(); + S.pointr[i] = x - 1; + } + S.pointr[S.cols] = S.vals; + + /* Read row indices. */ 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z05Jb%dMu&;2?RAP1$D3@)qu~v`g$8+-&}wZ%Z=7KzVMTRs6dVp6Kaid^qDjJ&VL|& zR7l6UuE1oE(%SBx00Q>E(&dK>OQcj#i~q`_&;*Ryy^~Y@YiaY>B=b8bAGPWwVD(Yj zd%yn&=3gte6M>^vCzL^f#=tNO{x9Ij71xOXQR|MO8wH`TlLH=G0`aJtqgEk8hwF(r zIUMqYzH8Tz!LcZ|?5Xd8p zqqiO$g+NW3LRTxUt`kBWNw_&VFk^>~p3 zjdh|A#}fT@r1<*{F4UtjbWQeM`Zvn|vbse*V_-&mX}Xo)l14dc(@? + * Re(d[i,j]) = data[i*rowspan + 2*j] + * Im(d[i,j]) = data[i*rowspan + 2*j + 1] + * + * where rowspan must be at least 2*ncols (it defaults to 2*ncols). + * The transformed data is returned in the original data array in + * wrap-around order along each dimension. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ +public class ComplexDouble2DFFT { + int nrows; + int ncols; + ComplexDoubleFFT rowFFT, colFFT; + + /** Create an FFT for transforming nrows*ncols points of Complex, double precision + * data. */ + public ComplexDouble2DFFT(int nrows, int ncols) { + if ((nrows <= 0) || (ncols <= 0)) + throw new IllegalArgumentException("The array dimensions >=0 : "+nrows+","+ncols); + this.nrows = nrows; + this.ncols = ncols; + rowFFT = new ComplexDoubleFFT_Mixed(ncols); + colFFT = (nrows == ncols ? rowFFT : new ComplexDoubleFFT_Mixed(nrows)); + } + + protected void checkData(double data[], int rowspan){ + if (rowspan < 2*ncols) + throw new IllegalArgumentException("The row span "+rowspan+ + "is shorter than the row length "+2*ncols); + if (nrows*rowspan > data.length) + throw new IllegalArgumentException("The data array is too small for "+ + nrows+"x"+rowspan+" data.length="+data.length);} + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * The array data must be dimensioned (at least) 2*nrows*ncols, consisting of + * alternating real and imaginary parts. */ + public void transform(double data[]) { + transform(data,2*ncols); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * The array data must be dimensioned (at least) 2*nrows*ncols, consisting of + * alternating real and imaginary parts. */ + public void transform(double data[], int rowspan) { + checkData(data,rowspan); + for(int i=0; iwraparound format */ + public double[] toWraparoundOrder(double data[]){ + return data; } + + /** Return data in wraparound order. + * rowspan is used to traverse data; the new array is in + * packed (rowspan = 2*ncols) format. + * @see wraparound format */ + public double[] toWraparoundOrder(double data[], int rowspan){ + if (rowspan == 2*ncols) return data; + double newdata[] = new double[2*nrows*ncols]; + for(int i=0; imethod, implement the + * FFT using some particular method. + *

+ * Complex data is represented by 2 double values in sequence: the real and imaginary + * parts. Thus, in the default case (i0=0, stride=2), N data points is represented + * by a double array dimensioned to 2*N. To support 2D (and higher) transforms, + * an offset, i0 (where the first element starts) and stride (the distance from the + * real part of one value, to the next: at least 2 for complex values) can be supplied. + * The physical layout in the array data, of the mathematical data d[i] is as follows: + *

+  *    Re(d[i]) = data[i0 + stride*i]
+  *    Im(d[i]) = data[i0 + stride*i+1]
+  *
+ * The transformed data is returned in the original data array in + * wrap-around order. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ +public abstract class ComplexDoubleFFT { + + int n; + + /** Create an FFT for transforming n points of complex, double precision data. */ + public ComplexDoubleFFT(int n){ + if (n <= 0) + throw new IllegalArgumentException("The transform length must be >=0 : "+n); + this.n = n; } + + /** Creates an instance of a subclass of ComplexDoubleFFT appropriate for data + * of n elements.*/ + public ComplexDoubleFFT getInstance(int n){ + return new ComplexDoubleFFT_Mixed(n); } + + protected void checkData(double data[], int i0, int stride){ + if (i0 < 0) + throw new IllegalArgumentException("The offset must be >=0 : "+i0); + if (stride < 2) + throw new IllegalArgumentException("The stride must be >=2 : "+stride); + if (i0+stride*(n-1)+2 > data.length) + throw new IllegalArgumentException("The data array is too small for "+n+":"+ + "i0="+i0+" stride="+stride+ + " data.length="+data.length); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * The array data must be dimensioned (at least) 2*n, consisting of alternating + * real and imaginary parts. */ + public void transform (double data[]) { + transform (data, 0,2); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * The array data must contain the data points in the following locations: + *
+    *    Re(d[i]) = data[i0 + stride*i]
+    *    Im(d[i]) = data[i0 + stride*i+1]
+    *
+ */ + public abstract void transform (double data[], int i0, int stride); + + /** Return data in wraparound order. + * @see wraparound format */ + public double[] toWraparoundOrder(double data[]){ + return data; } + + /** Return data in wraparound order. + * i0 and stride are used to traverse data; the new array is in + * packed (i0=0, stride=2) format. + * @see wraparound format */ + public double[] toWraparoundOrder(double data[], int i0, int stride) { + if ((i0==0)&&(stride==2)) return data; + double newdata[] = new double[2*n]; + for(int i=0; i + * Re(D[i]) = data[i0 + stride*i] + * Im(D[i]) = data[i0 + stride*i+1] + * + */ + public abstract void backtransform (double data[], int i0, int stride); + + /** Return the normalization factor. + * Multiply the elements of the backtransform'ed data to get the normalized inverse.*/ + public double normalization(){ + return 1.0/n; } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse(double data[]) { + inverse(data,0,2); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place. + * The frequency domain data must be in wrap-around order, and be stored + * in the following locations: + *
+    *    Re(D[i]) = data[i0 + stride*i]
+    *    Im(D[i]) = data[i0 + stride*i+1]
+    *
+ */ + public void inverse (double data[], int i0, int stride) { + backtransform(data, i0, stride); + + /* normalize inverse fft with 1/n */ + double norm = normalization(); + for (int i = 0; i < n; i++) { + data[i0+stride*i] *= norm; + data[i0+stride*i+1] *= norm; }} +} diff --git a/lib/jnt/FFT/ComplexDoubleFFT_Mixed.java b/lib/jnt/FFT/ComplexDoubleFFT_Mixed.java new file mode 100644 index 00000000..e64d12b5 --- /dev/null +++ b/lib/jnt/FFT/ComplexDoubleFFT_Mixed.java @@ -0,0 +1,949 @@ +package jnt.FFT; + +/** Computes FFT's of complex, double precision data of arbitrary length n. + * This class uses the Mixed Radix method; it has special methods to handle + * factors 2, 3, 4, 5, 6 and 7, as well as a general factor. + *

+ * This method appears to be faster than the Radix2 method, when both methods apply, + * but requires extra storage (which ComplexDoubleFFT_Mixed manages itself). + *

+ * See {@link ComplexDoubleFFT ComplexDoubleFFT} for details of data layout. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + * @author Derived from GSL (Gnu Scientific Library) + * @author GSL's FFT Code by Brian Gough bjg@vvv.lanl.gov + * @author Since GSL is released under + * @author GPL, + * @author this package must also be. + */ +public class ComplexDoubleFFT_Mixed extends ComplexDoubleFFT{ + static final double PI = Math.PI; + + public ComplexDoubleFFT_Mixed(int n){ + super(n); + setup_wavetable(n); + } + + public void transform(double data[], int i0, int stride) { + checkData(data,i0,stride); + transform_internal(data, i0, stride, -1); } + + public void backtransform (double data[], int i0, int stride){ + checkData(data,i0,stride); + transform_internal(data, i0, stride, +1); } + + /*______________________________________________________________________ + Setting up the Wavetable */ + + private int factors[]; + // Reversed the last 2 levels of the twiddle array compared to what the C version had. + private double twiddle[][][]; + private int available_factors[]={7, 6, 5, 4, 3, 2}; + + void setup_wavetable(int n){ + + if (n <= 0) + throw new Error("length must be positive integer : "+n); + this.n = n; + + factors = Factorize.factor(n, available_factors); + + double d_theta = -2.0 * PI / ((double) n); + int product = 1; + twiddle = new double[factors.length][][]; + for (int i = 0; i < factors.length; i++) { + int factor = factors[i]; + int product_1 = product; /* product_1 = p_(i-1) */ + product *= factor; + int q = n / product; + + twiddle[i] = new double[q+1][2*(factor-1)]; + double twid[][] = twiddle[i]; + for(int j=1; j + * See {@link ComplexDoubleFFT ComplexDoubleFFT} for details of data layout. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + * @author Derived from GSL (Gnu Scientific Library) + * @author GSL's FFT Code by Brian Gough bjg@vvv.lanl.gov + * @author Since GSL is released under + * @author GPL, + * @author this package must also be. + */ + +public class ComplexDoubleFFT_Radix2 extends ComplexDoubleFFT { + static final double PI = Math.PI; + static final int FORWARD = -1; + static final int BACKWARD = +1; + static final int DECINTIME = 0; + static final int DECINFREQ = 1; + + private int logn; + private int decimate=DECINTIME; + private double trigs[]; + + public ComplexDoubleFFT_Radix2(int n){ + super(n); + /* make sure that n is a power of 2 */ + int log = Factorize.log2(n); + if (log < 0) + throw new Error(n+" is not a power of 2"); + this.logn = log; + trigs = new double[logn+1]; + double theta = Math.PI; + for(int i=0; i<=logn; i++) { + trigs[i]=Math.sin(theta); + theta/=2.0; } + } + + /* Lousy interface, but it'll do for now... */ + public void setDecimateInTime(){ + decimate = DECINTIME; } + public void setDecimateInFrequency(){ + decimate = DECINFREQ; } + + public void transform (double data[], int i0, int stride) { + checkData(data,i0,stride); + transform_internal(data, i0, stride, FORWARD); } + + public void backtransform (double data[], int i0, int stride) { + checkData(data,i0,stride); + transform_internal(data, i0, stride, BACKWARD); } + + /* ______________________________________________________________________ */ + + void transform_internal (double data[], int i0, int stride, int direction) { + if (decimate==DECINFREQ) { + transform_DIF(data,i0,stride,direction); } + else { + transform_DIT(data,i0,stride,direction); }} + + void transform_DIT (double data[], int i0, int stride, int direction) { + if (n == 1) return; // Identity operation! + + /* bit reverse the input data for decimation in time algorithm */ + bitreverse(data, i0, stride) ; + + /* apply fft recursion */ + for (int bit = 0, dual = 1; bit < logn; bit++, dual *= 2) { + double w_real = 1.0; + double w_imag = 0.0; + + //double theta = 2.0 * direction * Math.PI / (2.0 * dual); + //double s = Math.sin(theta); + //double t = Math.sin(theta / 2.0); + double s = direction*trigs[bit]; + double t = direction*trigs[bit+1]; + double s2 = 2.0 * t * t; + + /* a = 0 */ + for (int b = 0; b < n; b += 2 * dual) { + int i = i0+b*stride ; + int j = i0+(b + dual)*stride; + + double wd_real = data[j] ; + double wd_imag = data[j+1] ; + + data[j] = data[i] - wd_real; + data[j+1] = data[i+1] - wd_imag; + data[i] += wd_real; + data[i+1]+= wd_imag; + } + + /* a = 1 .. (dual-1) */ + for (int a = 1; a < dual; a++) { + /* trignometric recurrence for w-> exp(i theta) w */ + { + double tmp_real = w_real - s * w_imag - s2 * w_real; + double tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + } + for (int b = 0; b < n; b += 2 * dual) { + int i = i0+(b + a)*stride; + int j = i0+(b + a + dual)*stride; + + double z1_real = data[j]; + double z1_imag = data[j+1]; + + double wd_real = w_real * z1_real - w_imag * z1_imag; + double wd_imag = w_real * z1_imag + w_imag * z1_real; + + data[j] = data[i] - wd_real; + data[j+1] = data[i+1] - wd_imag; + data[i] += wd_real; + data[i+1]+= wd_imag; + } + } + } + } + + void transform_DIF(double data[], int i0, int stride, int direction) { + if (n == 1) return; // Identity operation! + + /* apply fft recursion */ + for (int bit = 0, dual = n / 2; bit < logn; bit++, dual /= 2) { + double w_real = 1.0; + double w_imag = 0.0; + + //double theta = 2.0 * ((int) direction) * Math.PI / ((double) (2 * dual)); + //double s = Math.sin(theta); + //double t = Math.sin(theta / 2.0); + double s = direction*trigs[logn-1-bit]; + double t = direction*trigs[logn-bit]; + + double s2 = 2.0 * t * t; + + for (int b = 0; b < dual; b++) { + for (int a = 0; a < n; a+= 2 * dual) { + int i = i0+(b + a)*stride; + int j = i0+(b + a + dual)*stride; + + double t1_real = data[i] + data[j]; + double t1_imag = data[i+1] + data[j+1]; + double t2_real = data[i] - data[j]; + double t2_imag = data[i+1] - data[j+1]; + + data[i] = t1_real; + data[i+1] = t1_imag; + data[j] = w_real*t2_real - w_imag * t2_imag; + data[j+1] = w_real*t2_imag + w_imag * t2_real; + } + /* trignometric recurrence for w-> exp(i theta) w */ + { + double tmp_real = w_real - s * w_imag - s2 * w_real; + double tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + } + } + } + /* bit reverse the output data for decimation in frequency algorithm */ + bitreverse(data, i0, stride); + } + + protected void bitreverse(double data[], int i0, int stride) { + /* This is the Goldrader bit-reversal algorithm */ + + for (int i = 0, j=0; i < n - 1; i++) { + int ii = i0+i*stride; + int jj = i0+j*stride; + int k = n / 2 ; + if (i < j) { + double tmp_real = data[ii]; + double tmp_imag = data[ii+1]; + data[ii] = data[jj]; + data[ii+1] = data[jj+1]; + data[jj] = tmp_real; + data[jj+1] = tmp_imag; } + + while (k <= j) { + j = j - k ; + k = k / 2 ; } + j += k ; + } + } +} + + + + + + + + diff --git a/lib/jnt/FFT/ComplexFloat2DFFT.java b/lib/jnt/FFT/ComplexFloat2DFFT.java new file mode 100644 index 00000000..f3f9de7e --- /dev/null +++ b/lib/jnt/FFT/ComplexFloat2DFFT.java @@ -0,0 +1,102 @@ +package jnt.FFT; +/** Computes the FFT of 2 dimensional complex, single precision data. + * The data is stored in a 1-dimensional array in Row-Major order. + * The physical layout in the array data, of the mathematical data d[i,j] is as follows: + *

+  *    Re(d[i,j]) = data[i*rowspan + 2*j]
+  *    Im(d[i,j]) = data[i*rowspan + 2*j + 1]
+  *
+ * where rowspan must be at least 2*ncols (it defaults to 2*ncols). + * The transformed data is returned in the original data array in + * wrap-around order along each dimension. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ +public class ComplexFloat2DFFT { + int nrows; + int ncols; + ComplexFloatFFT rowFFT, colFFT; + + /** Create an FFT for transforming nrows*ncols points of Complex, double precision + * data. */ + public ComplexFloat2DFFT(int nrows, int ncols) { + this.nrows = nrows; + this.ncols = ncols; + rowFFT = new ComplexFloatFFT_Mixed(ncols); + colFFT = (nrows == ncols ? rowFFT : new ComplexFloatFFT_Mixed(nrows)); + } + + protected void checkData(float data[], int rowspan){ + if (rowspan < 2*ncols) + throw new IllegalArgumentException("The row span "+rowspan+ + "is shorter than the row length "+2*ncols); + if (nrows*rowspan > data.length) + throw new IllegalArgumentException("The data array is too small for "+ + nrows+"x"+rowspan+" data.length="+data.length);} + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * The array data must be dimensioned (at least) 2*nrows*ncols, consisting of + * alternating real and imaginary parts. */ + public void transform(float data[]) { + transform(data,2*ncols); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * The array data must be dimensioned (at least) 2*nrows*ncols, consisting of + * alternating real and imaginary parts. */ + public void transform(float data[], int rowspan) { + checkData(data,rowspan); + for(int i=0; iwraparound format */ + public float[] toWraparoundOrder(float data[]){ + return data; } + + /** Return data in wraparound order. + * rowspan is used to traverse data; the new array is in + * packed (rowspan = 2*ncols) format. + * @see wraparound format */ + public float[] toWraparoundOrder(float data[], int rowspan){ + if (rowspan == 2*ncols) return data; + float newdata[] = new float[2*nrows*ncols]; + for(int i=0; imethod, implement the + * FFT using some particular method. + *

+ * Complex data is represented by 2 double values in sequence: the real and imaginary + * parts. Thus, in the default case (i0=0, stride=2), N data points is represented + * by a double array dimensioned to 2*N. To support 2D (and higher) transforms, + * an offset, i0 (where the first element starts) and stride (the distance from the + * real part of one value, to the next: at least 2 for complex values) can be supplied. + * The physical layout in the array data, of the mathematical data d[i] is as follows: + *

+  *    Re(d[i]) = data[i0 + stride*i]
+  *    Im(d[i]) = data[i0 + stride*i+1]
+  *
+ * The transformed data is returned in the original data array in + * wrap-around order. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ + +public abstract class ComplexFloatFFT { + + int n; + + /** Create an FFT for transforming n points of Complex, single precision data. */ + public ComplexFloatFFT(int n){ + if (n <= 0) + throw new IllegalArgumentException("The transform length must be >=0 : "+n); + this.n = n; } + + /** Creates an instance of a subclass of ComplexFloatFFT appropriate for data + * of n elements.*/ + public ComplexFloatFFT getInstance(int n){ + return new ComplexFloatFFT_Mixed(n); } + + protected void checkData(float data[], int i0, int stride){ + if (i0 < 0) + throw new IllegalArgumentException("The offset must be >=0 : "+i0); + if (stride < 2) + throw new IllegalArgumentException("The stride must be >=2 : "+stride); + if (i0+stride*(n-1)+2 > data.length) + throw new IllegalArgumentException("The data array is too small for "+n+":"+ + "i0="+i0+" stride="+stride+ + " data.length="+data.length); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * The array data must be dimensioned (at least) 2*n, consisting of alternating + * real and imaginary parts. */ + public void transform (float data[]) { + transform (data, 0,2); } + + /** Return data in wraparound order. + * @see wraparound format */ + public float[] toWraparoundOrder(float data[]){ + return data; } + + /** Return data in wraparound order. + * i0 and stride are used to traverse data; the new array is in + * packed (i0=0, stride=2) format. + * @see wraparound format */ + public float[] toWraparoundOrder(float data[], int i0, int stride) { + if ((i0==0)&&(stride==2)) return data; + float newdata[] = new float[2*n]; + for(int i=0; i + * Re(d[i]) = data[i0 + stride*i] + * Im(d[i]) = data[i0 + stride*i+1] + * + */ + public abstract void transform (float data[], int i0, int stride); + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place.*/ + public void backtransform (float data[]) { + backtransform(data,0,2); } + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place. + * The frequency domain data must be in wrap-around order, and be stored + * in the following locations: + *
+    *    Re(D[i]) = data[i0 + stride*i]
+    *    Im(D[i]) = data[i0 + stride*i+1]
+    *
+ */ + public abstract void backtransform (float data[], int i0, int stride); + + /** Return the normalization factor. + * Multiply the elements of the backtransform'ed data to get the normalized inverse.*/ + public float normalization(){ + return 1.0f/((float) n); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse(float data[]) { + inverse(data,0,2); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place. + * The frequency domain data must be in wrap-around order, and be stored + * in the following locations: + *
+    *    Re(D[i]) = data[i0 + stride*i]
+    *    Im(D[i]) = data[i0 + stride*i+1]
+    *
+ */ + public void inverse (float data[], int i0, int stride) { + backtransform(data, i0, stride); + + /* normalize inverse fft with 1/n */ + float norm = normalization(); + for (int i = 0; i < n; i++) { + data[i0+stride*i] *= norm; + data[i0+stride*i+1] *= norm; }} +} diff --git a/lib/jnt/FFT/ComplexFloatFFT_Mixed.java b/lib/jnt/FFT/ComplexFloatFFT_Mixed.java new file mode 100644 index 00000000..48133dda --- /dev/null +++ b/lib/jnt/FFT/ComplexFloatFFT_Mixed.java @@ -0,0 +1,958 @@ +package jnt.FFT; + +/** Computes FFT's of complex, single precision data of arbitrary length n. + * This class uses the Mixed Radix method; it has special methods to handle + * factors 2, 3, 4, 5, 6 and 7, as well as a general factor. + *

+ * This method appears to be faster than the Radix2 method, when both methods apply, + * but requires extra storage (which ComplexDoubleFFT_Mixed manages itself). + * + *

+ * See {@link ComplexFloatFFT ComplexFloatFFT} for details of data layout. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + * @author Derived from GSL (Gnu Scientific Library) + * @author GSL's FFT Code by Brian Gough bjg@vvv.lanl.gov + * @author Since GSL is released under + * @author GPL, + * @author this package must also be. + */ + +public class ComplexFloatFFT_Mixed extends ComplexFloatFFT{ + static final double PI = (float) Math.PI; + static final int FORWARD = -1; + static final int BACKWARD = +1; + + public ComplexFloatFFT_Mixed(int n){ + super(n); + setup_wavetable(n); + } + + public void transform(float data[], int i0, int stride) { + checkData(data,i0,stride); + transform_internal(data, i0, stride, FORWARD); } + + public void backtransform (float data[], int i0, int stride){ + checkData(data,i0,stride); + transform_internal(data, i0, stride, BACKWARD); } + + /*______________________________________________________________________ + Setting up the Wavetable */ + + private int factors[]; + // Reversed the last 2 levels of the twiddle array compared to what the C version had. + private float twiddle[][][]; + private int available_factors[]={7, 6, 5, 4, 3, 2}; + + void setup_wavetable(int n){ + + if (n <= 0) + throw new Error("length must be positive integer : "+n); + this.n = n; + + factors = Factorize.factor(n, available_factors); + + double d_theta = -2.0 * PI / ((double) n); + int product = 1; + twiddle = new float[factors.length][][]; + for (int i = 0; i < factors.length; i++) { + int factor = factors[i]; + int product_1 = product; /* product_1 = p_(i-1) */ + product *= factor; + int q = n / product; + + twiddle[i] = new float[q+1][2*(factor-1)]; + float twid[][] = twiddle[i]; + for(int j=1; j + * See {@link ComplexFloatFFT ComplexFloatFFT} for details of data layout. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + * @author Derived from GSL (Gnu Scientific Library) + * @author GSL's FFT Code by Brian Gough bjg@vvv.lanl.gov + * @author Since GSL is released under + * @author GPL, + * @author this package must also be. + */ + +public class ComplexFloatFFT_Radix2 extends ComplexFloatFFT { + static final int FORWARD = -1; + static final int BACKWARD = +1; + static final int DECINTIME = 0; + static final int DECINFREQ = 1; + + private int logn; + + private int decimate=DECINTIME; + + public ComplexFloatFFT_Radix2(int n){ + super(n); + /* make sure that n is a power of 2 */ + logn = Factorize.log2(n); + if (logn < 0) + throw new Error(n+" is not a power of 2"); + } + + /* Lousy interface, but it'll do for now... */ + public void setDecimateInTime(){ + decimate = DECINTIME; } + public void setDecimateInFrequency(){ + decimate = DECINFREQ; } + + public void transform (float data[], int i0, int stride) { + checkData(data,i0,stride); + transform_internal(data, i0, stride, FORWARD); } + + public void backtransform (float data[], int i0, int stride) { + checkData(data,i0,stride); + transform_internal(data, i0, stride, BACKWARD); } + + /* ______________________________________________________________________ */ + + void transform_internal (float data[], int i0, int stride, int direction) { + if (decimate==DECINFREQ) { + transform_DIF(data,i0,stride,direction); } + else { + transform_DIT(data,i0,stride,direction); }} + + void transform_DIT (float data[], int i0, int stride, int direction) { + if (n == 1) return; // Identity operation! + + /* bit reverse the input data for decimation in time algorithm */ + bitreverse(data, i0, stride) ; + + /* apply fft recursion */ + for (int bit = 0, dual = 1; bit < logn; bit++, dual *= 2) { + float w_real = 1.0f; + float w_imag = 0.0f; + + double theta = 2.0 * direction * Math.PI / (2.0 * dual); + float s = (float)Math.sin(theta); + float t = (float)Math.sin(theta / 2.0); + float s2 = 2.0f * t * t; + + /* a = 0 */ + for (int b = 0; b < n; b += 2 * dual) { + int i = i0+b*stride ; + int j = i0+(b + dual)*stride; + + float wd_real = data[j] ; + float wd_imag = data[j+1] ; + + data[j] = data[i] - wd_real; + data[j+1] = data[i+1] - wd_imag; + data[i] += wd_real; + data[i+1]+= wd_imag; + } + + /* a = 1 .. (dual-1) */ + for (int a = 1; a < dual; a++) { + /* trignometric recurrence for w-> exp(i theta) w */ + { + float tmp_real = w_real - s * w_imag - s2 * w_real; + float tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + } + for (int b = 0; b < n; b += 2 * dual) { + int i = i0+(b + a)*stride; + int j = i0+(b + a + dual)*stride; + + float z1_real = data[j]; + float z1_imag = data[j+1]; + + float wd_real = w_real * z1_real - w_imag * z1_imag; + float wd_imag = w_real * z1_imag + w_imag * z1_real; + + data[j] = data[i] - wd_real; + data[j+1] = data[i+1] - wd_imag; + data[i] += wd_real; + data[i+1]+= wd_imag; + } + } + } + } + + void transform_DIF(float data[], int i0, int stride, int direction) { + if (n == 1) return; // Identity operation! + + /* apply fft recursion */ + for (int bit = 0, dual = n / 2; bit < logn; bit++, dual /= 2) { + float w_real = 1.0f; + float w_imag = 0.0f; + + double theta = 2.0 * direction * Math.PI / (2 * dual); + + float s = (float)Math.sin(theta); + float t = (float)Math.sin(theta / 2.0); + float s2 = 2.0f * t * t; + + for (int b = 0; b < dual; b++) { + for (int a = 0; a < n; a+= 2 * dual) { + int i = i0+(b + a)*stride; + int j = i0+(b + a + dual)*stride; + + float t1_real = data[i] + data[j]; + float t1_imag = data[i+1] + data[j+1]; + float t2_real = data[i] - data[j]; + float t2_imag = data[i+1] - data[j+1]; + + data[i] = t1_real; + data[i+1] = t1_imag; + data[j] = w_real*t2_real - w_imag * t2_imag; + data[j+1] = w_real*t2_imag + w_imag * t2_real; + } + /* trignometric recurrence for w-> exp(i theta) w */ + { + float tmp_real = w_real - s * w_imag - s2 * w_real; + float tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + } + } + } + /* bit reverse the output data for decimation in frequency algorithm */ + bitreverse(data, i0, stride); + } + + protected void bitreverse(float data[], int i0, int stride) { + /* This is the Goldrader bit-reversal algorithm */ + + for (int i = 0, j=0; i < n - 1; i++) { + int ii = i0+i*stride; + int jj = i0+j*stride; + int k = n / 2 ; + if (i < j) { + float tmp_real = data[ii]; + float tmp_imag = data[ii+1]; + data[ii] = data[jj]; + data[ii+1] = data[jj+1]; + data[jj] = tmp_real; + data[jj+1] = tmp_imag; } + + while (k <= j) { + j = j - k ; + k = k / 2 ; } + j += k ; + } + } +} + + + + + + + + diff --git a/lib/jnt/FFT/Factorize.java b/lib/jnt/FFT/Factorize.java new file mode 100644 index 00000000..386caf51 --- /dev/null +++ b/lib/jnt/FFT/Factorize.java @@ -0,0 +1,73 @@ +package jnt.FFT; + +/** Supplies static methods for factoring integers needed by various FFT classes. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + * @author Derived from GSL (Gnu Scientific Library) + * @author GSL's FFT Code by Brian Gough bjg@vvv.lanl.gov + * @author Since GSL is released under + * @author GPL, + * @author this package must also be. +*/ +public class Factorize { + + /** Return the prime factors of n. + * The method first extracts any factors in fromfactors, in order (which + * needn't actually be prime). Remaining factors in increasing order follow. */ + public static int[] factor (int n, int fromfactors[]){ + int factors[] = new int[64]; // Cant be more than 64 factors. + int nf = 0; + int ntest = n; + int factor; + + if (n <= 0) // Error case + throw new Error("Number ("+n+") must be positive integer"); + + /* deal with the preferred factors first */ + for(int i = 0; i < fromfactors.length && ntest != 1; i++){ + factor = fromfactors[i]; + while ((ntest % factor) == 0) { + ntest /= factor; + factors[nf++] = factor; }} + + /* deal with any other even prime factors (there is only one) */ + factor = 2; + while ((ntest % factor) == 0 && (ntest != 1)) { + ntest /= factor; + factors[nf++] = factor; } + + /* deal with any other odd prime factors */ + factor = 3; + while (ntest != 1) { + while ((ntest % factor) != 0) { + factor += 2; } + ntest /= factor; + factors[nf++] = factor; } + + /* check that the factorization is correct */ + int product = 1; + for (int i = 0; i < nf; i++) { + product *= factors[i]; } + if (product != n) + throw new Error("factorization failed for "+n); + + /* Now, make an array of the right length containing the factors... */ + int f[] = new int[nf]; + System.arraycopy(factors,0,f,0,nf); + return f; } + + /** Return the integer log, base 2, of n, or -1 if n is not an integral power of 2.*/ + public static int log2 (int n){ + int log = 0; + + for(int k=1; k < n; k *= 2, log++); + + if (n != (1 << log)) + return -1 ; /* n is not a power of 2 */ + return log; } +} + + + diff --git a/lib/jnt/FFT/README b/lib/jnt/FFT/README new file mode 100644 index 00000000..f749d9a2 --- /dev/null +++ b/lib/jnt/FFT/README @@ -0,0 +1,19 @@ +README for jnt.FFT + Java Numerical Toolkit subpackage for Fast Fourier Transforms. + Bruce R. Miller + +***NOTE*** +Several routines in this subpackage were derived from +Brian Gough's FFT routines in the Gnu Scientific Library (GSL). +GSL is released under the Gnu General Public License + (see http://www.gnu.org/copyleft/gpl.html) +As such, this package must also be released under GPL. + +The modifications I have made to port the routines from +C to Java, and the additional classes developed were +developed as part of my official duties as a U.S. +government employee, and are therefore not subject +to copyright. + +Furthermore, this software is under development, and is +in no way certified or guaranteed. \ No newline at end of file diff --git a/lib/jnt/FFT/RealDoubleFFT.java b/lib/jnt/FFT/RealDoubleFFT.java new file mode 100644 index 00000000..ac84ae75 --- /dev/null +++ b/lib/jnt/FFT/RealDoubleFFT.java @@ -0,0 +1,92 @@ +package jnt.FFT; + +/** Abstract Class representing FFT's of real, double precision data. + * Concrete classes are typically named RealDoubleFFT_method, implement the + * FFT using some particular method. + *

+ * The physical layout of the mathematical data d[i] in the array data is as follows: + *

+  *    d[i] = data[i0 + stride*i]
+  *
+ * The FFT (D[i]) of real data (d[i]) is complex, but restricted by symmetry: + *
+  *    D[n-i] = conj(D[i])
+  *
+ * It turns out that there are still n `independent' values, so the transformation + * can still be carried out in-place. + * However, each Real FFT method tends to leave the real and imaginary parts + * distributed in the data array in its own unique arrangment. + *

+ * You must consult the documentation for the specific classes implementing + * RealDoubleFFT for the details. + * Note, however, that each class's backtransform and inverse methods understand + * thier own unique ordering of the transformed result and can invert it correctly. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ + +public abstract class RealDoubleFFT { + int n; + + /** Create an FFT for transforming n points of real, double precision data. */ + public RealDoubleFFT(int n){ + if (n <= 0) + throw new IllegalArgumentException("The transform length must be >=0 : "+n); + this.n = n; } + + protected void checkData(double data[], int i0, int stride){ + if (i0 < 0) + throw new IllegalArgumentException("The offset must be >=0 : "+i0); + if (stride < 1) + throw new IllegalArgumentException("The stride must be >=1 : "+stride); + if (i0+stride*(n-1)+1 > data.length) + throw new IllegalArgumentException("The data array is too small for "+n+":"+ + "i0="+i0+" stride="+stride+ + " data.length="+data.length); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public void transform (double data[]) { + transform (data, 0,1); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public abstract void transform (double data[], int i0, int stride); + + /** Return data in wraparound order. + * @see wraparound format */ + public abstract double[] toWraparoundOrder(double data[]); + + /** Return data in wraparound order. + * i0 and stride are used to traverse data; the new array is in + * packed (i0=0, stride=1) format. + * @see wraparound format */ + public abstract double[] toWraparoundOrder(double data[], int i0, int stride); + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place.*/ + public void backtransform (double data[]) { + backtransform(data,0,1); } + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place.*/ + public abstract void backtransform (double data[], int i0, int stride); + + /** Return the normalization factor. + * Multiply the elements of the backtransform'ed data to get the normalized inverse.*/ + public double normalization(){ + return 1.0/((double) n); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse(double data[]) { + inverse(data,0,1); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse (double data[], int i0, int stride) { + backtransform(data, i0, stride); + + /* normalize inverse fft with 1/n */ + double norm = normalization(); + for (int i = 0; i < n; i++) + data[i0+stride*i] *= norm; + } + +} diff --git a/lib/jnt/FFT/RealDoubleFFT_Even.java b/lib/jnt/FFT/RealDoubleFFT_Even.java new file mode 100644 index 00000000..644537a2 --- /dev/null +++ b/lib/jnt/FFT/RealDoubleFFT_Even.java @@ -0,0 +1,120 @@ +package jnt.FFT; +/** Computes FFT's of real, double precision data when n is even, by + * computing complex FFT. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Derived from Numerical Methods. + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ + +public class RealDoubleFFT_Even extends RealDoubleFFT { + ComplexDoubleFFT fft; + + /** Create an FFT for transforming n points of real, double precision data. */ + public RealDoubleFFT_Even(int n){ + super(n); + if (n%2 != 0) + throw new IllegalArgumentException(n+" is not even"); + fft = new ComplexDoubleFFT_Mixed(n/2); + } + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public void transform (double data[]) { + fft.transform(data); + shuffle(data,+1); + } + + /** Return data in wraparound order. + * i0 and stride are used to traverse data; the new array is in + * packed (i0=0, stride=1) format. + * @see wraparound format */ + public double[] toWraparoundOrder(double data[]){ + double newdata[] = new double[2*n]; + int nh = n/2; + newdata[0] = data[0]; + newdata[1] = 0.0; + newdata[n] = data[1]; + newdata[n+1] = 0.0; + for(int i=1; iwraparound format */ + public double[] toWraparoundOrder(double data[], int i0, int stride) { + throw new Error("Not Implemented!"); } + + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place.*/ + public void backtransform (double data[]){ + shuffle(data,-1); + fft.backtransform(data); + } + + private void shuffle(double data[], int sign){ + int nh = n/2; + int nq = n/4; + double c1=0.5, c2 = -0.5*sign; + double theta = sign*Math.PI/nh; + double wtemp = Math.sin(0.5*theta); + double wpr = -2.0*wtemp*wtemp; + double wpi = -Math.sin(theta); + double wr = 1.0+wpr; + double wi = wpi; + for(int i=1; i < nq; i++){ + int i1 = 2*i; + int i3 = n - i1; + double h1r = c1*(data[i1 ]+data[i3]); + double h1i = c1*(data[i1+1]-data[i3+1]); + double h2r = -c2*(data[i1+1]+data[i3+1]); + double h2i = c2*(data[i1 ]-data[i3]); + data[i1 ] = h1r+wr*h2r-wi*h2i; + data[i1+1] = h1i+wr*h2i+wi*h2r; + data[i3 ] = h1r-wr*h2r+wi*h2i; + data[i3+1] =-h1i+wr*h2i+wi*h2r; + wtemp = wr; + wr += wtemp*wpr-wi*wpi; + wi += wtemp*wpi+wi*wpr; } + double d0 = data[0]; + if (sign == 1){ + data[0] = d0+data[1]; + data[1] = d0-data[1]; } + else { + data[0] = c1*(d0+data[1]); + data[1] = c1*(d0-data[1]); } + if (n%4==0) + data[nh+1] *= -1; + } + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public void transform (double data[], int i0, int stride) { + throw new Error("Not Implemented!"); } + + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place.*/ + public void backtransform (double data[], int i0, int stride){ + throw new Error("Not Implemented!"); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse (double data[], int i0, int stride){ + throw new Error("Not Implemented!"); } + + /** Return the normalization factor. + * Multiply the elements of the backtransform'ed data to get the normalized inverse.*/ + public double normalization(){ + return 2.0/((double) n); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse (double data[]) { + backtransform(data); + /* normalize inverse fft with 2/n */ + double norm = normalization(); + for (int i = 0; i < n; i++) + data[i] *= norm; + } + +} diff --git a/lib/jnt/FFT/RealDoubleFFT_Radix2.java b/lib/jnt/FFT/RealDoubleFFT_Radix2.java new file mode 100644 index 00000000..103a5363 --- /dev/null +++ b/lib/jnt/FFT/RealDoubleFFT_Radix2.java @@ -0,0 +1,254 @@ +package jnt.FFT; + +/** Computes FFT's of real, double precision data where n is an integral power of 2. + * The physical layout of the mathematical data d[i] in the array data is as follows: + *

+  *    d[i] = data[i0 + stride*i]
+  *
+ * The FFT (D[i]) of real data (d[i]) is complex, but restricted by symmetry: + *
+  *    D[n-i] = conj(D[i])
+  *
+ * It turns out that there are still n `independent' values, so the transformation + * can still be carried out in-place. + * For RealDoubleFFT_Radix2, the correspondence is as follows: + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + *
LogicalPhysical
Re(D[0])=data[0]
Im(D[0])=0
Re(D[1])=data[1]
Im(D[1])=data[n-1]
......
Re(D[k])=data[k]
Im(D[k])=data[n-k]
......
Re(D[n/2])=data[n/2]
Im(D[n/2])=0
......
Re(D[n-k])= data[k]
Im(D[n-k])=-data[n-k]
......
Re(D[n-1])= data[1]
Im(D[n-1])=-data[n-1]
+ * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + * @author Derived from GSL (Gnu Scientific Library) + * @author GSL's FFT Code by Brian Gough bjg@vvv.lanl.gov + * @author Since GSL is released under + * @author GPL, + * @author this package must also be. + */ + +public class RealDoubleFFT_Radix2 extends RealDoubleFFT { + private int logn; + + /** Create an FFT for transforming n points of real, double precision data. + * n must be an integral power of 2. */ + public RealDoubleFFT_Radix2(int n){ + /* make sure that n is a power of 2 */ + super(n); + logn = Factorize.log2(n); + if (logn < 0) + throw new IllegalArgumentException(n+" is not a power of 2"); + } + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * See {@link Radix2 Transform Layout} for description of + * the resulting data layout.*/ + public void transform (double data[], int i0, int stride) { + checkData(data,i0,stride); + int p, p_1, q; + + if (n == 1) return; /* identity operation */ + + /* bit reverse the ordering of input data for decimation in time algorithm */ + bitreverse(data, i0, stride); + + /* apply fft recursion */ + p = 1; q = n ; + for (int i = 1; i <= logn; i++) { + int a, b; + + p_1 = p ; + p = 2 * p ; + q = q / 2 ; + + /* a = 0 */ + + for (b = 0; b < q; b++) { + double t0_real = data[i0+stride*b*p] + data[i0+stride*(b*p + p_1)]; + double t1_real = data[i0+stride*b*p] - data[i0+stride*(b*p + p_1)]; + + data[i0+stride*b*p] = t0_real; + data[i0+stride*(b*p + p_1)] = t1_real; + } + + /* a = 1 ... p_{i-1}/2 - 1 */ + + { + double w_real = 1.0; + double w_imag = 0.0; + + double theta = - 2.0 * Math.PI / p; + + double s = Math.sin(theta); + double t = Math.sin(theta / 2.0); + double s2 = 2.0 * t * t; + + for (a = 1; a < (p_1)/2; a++) { + /* trignometric recurrence for w-> exp(i theta) w */ + + { + double tmp_real = w_real - s * w_imag - s2 * w_real; + double tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + } + + for (b = 0; b < q; b++) { + double z0_real = data[i0+stride*(b*p + a)]; + double z0_imag = data[i0+stride*(b*p + p_1 - a)]; + double z1_real = data[i0+stride*(b*p + p_1 + a)]; + double z1_imag = data[i0+stride*(b*p + p - a)]; + + /* t0 = z0 + w * z1 */ + data[i0+stride*(b*p + a)] =z0_real + w_real * z1_real - w_imag * z1_imag; + data[i0+stride*(b*p + p - a)]=z0_imag + w_real * z1_imag + w_imag * z1_real; + /* t1 = -(z0 - w * z1) */ + data[i0+stride*(b*p + p_1 - a)]=z0_real - w_real * z1_real + w_imag * z1_imag; + data[i0+stride*(b*p + p_1 + a)]=-(z0_imag - w_real * z1_imag - w_imag * z1_real); + } + } + } + + if (p_1 > 1) { + for (b = 0; b < q; b++) { + /* a = p_{i-1}/2 */ + data[i0+stride*(b*p + p - p_1/2)] *= -1 ; + }} + } + } + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place. + * The data must be in the same arrangement as that produced by + {@link #transform transform}. */ + public void backtransform (double data[], int i0, int stride) { + checkData(data,i0,stride); + int p, p_1, q; + + if (n == 1) return; /* identity operation */ + + /* apply fft recursion */ + + p = n; q = 1 ; p_1 = n/2 ; + + for (int i = 1; i <= logn; i++) { + int a, b; + + /* a = 0 */ + + for (b = 0; b < q; b++) { + double z0 = data[i0+stride*b*p]; + double z1 = data[i0+stride*(b*p + p_1)]; + data[i0+stride*b*p] = z0 + z1 ; + data[i0+stride*(b*p + p_1)] = z0 - z1 ; } + + /* a = 1 ... p_{i-1}/2 - 1 */ + + { + double w_real = 1.0; + double w_imag = 0.0; + + double theta = 2.0 * Math.PI / p; + + double s = Math.sin(theta); + double t = Math.sin(theta / 2.0); + double s2 = 2.0 * t * t; + + for (a = 1; a < (p_1)/2; a++) { + /* trignometric recurrence for w-> exp(i theta) w */ + double tmp_real = w_real - s * w_imag - s2 * w_real; + double tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + + for (b = 0; b < q; b++) { + double z0_real = data[i0+stride*(b*p + a)]; + double z0_imag = data[i0+stride*(b*p + p - a)]; + double z1_real = data[i0+stride*(b*p + p_1 - a)]; + double z1_imag = -data[i0+stride*(b*p + p_1 + a)]; + + /* t0 = z0 + z1 */ + data[i0+stride*(b*p + a)] = z0_real + z1_real; + data[i0+stride*(b*p + p_1 - a)] = z0_imag + z1_imag; + + /* t1 = (z0 - z1) */ + double t1_real = z0_real - z1_real; + double t1_imag = z0_imag - z1_imag; + data[i0+stride*(b*p + p_1 + a)] = (w_real * t1_real - w_imag * t1_imag) ; + data[i0+stride*(b*p + p - a)] = (w_real * t1_imag + w_imag * t1_real) ; + } + } + } + + if (p_1 > 1) { + for (b = 0; b < q; b++) { + data[i0+stride*(b*p + p_1/2)] *= 2 ; + data[i0+stride*(b*p + p_1 + p_1/2)] *= -2 ; + } + } + + p_1 = p_1 / 2 ; + p = p / 2 ; + q = q * 2 ; + } + + /* bit reverse the ordering of output data for decimation in + frequency algorithm */ + bitreverse(data, i0, stride); + + } + + /** Return data in wraparound order. + * @see wraparound format */ + public double[] toWraparoundOrder(double data[]){ + return toWraparoundOrder(data,0,1); } + + /** Return data in wraparound order. + * i0 and stride are used to traverse data; the new array is in + * packed (i0=0, stride=1) format. + * @see wraparound format */ + public double[] toWraparoundOrder(double data[], int i0, int stride) { + checkData(data,i0,stride); + double newdata[] = new double[2*n]; + int nh = n/2; + newdata[0] = data[i0]; + newdata[1] = 0.0; + newdata[n] = data[i0+stride*nh]; + newdata[n+1] = 0.0; + for(int i=1; i + * d[i,j]) = data[i*rowspan+j] + * + * where rowspan >= ncols+2. + *

WARNING! Note that rowspan must be greater than the number of columns, + * and the next 2 values, as well as the data itself, are overwritten in + * order to store enough of the complex transformation in place. + * (In fact, it can be done completely in place, but where one has to look for various + * real and imaginary parts is quite complicated). + *

+ * The physical layout in the transformed (complex) array data, of the + * mathematical data D[i,j] is as follows: + *

+  *    Re(D[i,j]) = data[2*(i*rowspan+j)]
+  *    Im(D[i,j]) = data[2*(i*rowspan+j)+1]
+  *
+ *

+ * The transformed data in each row is complex for frequencies from + * 0, 1/(n delta), ... 1/(2 delta), where delta is the time difference between + * the column values. + *

+ * The transformed data for columns is in `wrap-around' order; that is from + * 0, 1/(n delta)... +/- 1/(2 delta) ... -1/(n delta) + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ +public class RealFloat2DFFT_Even { + int nrows; + int ncols; + int rowspan; + ComplexFloatFFT rowFFT, colFFT; + + /** Create an FFT for transforming nrows*ncols points of Complex, double precision + * data. */ + public RealFloat2DFFT_Even(int nrows, int ncols) { + this.nrows = nrows; + this.ncols = ncols; + rowspan = ncols+2; + if (ncols%2 != 0) + throw new Error("The number of columns must be even!"); + rowFFT = new ComplexFloatFFT_Mixed(ncols/2); + colFFT = (nrows == (ncols/2) ? rowFFT : new ComplexFloatFFT_Mixed(nrows)); + } + + protected void checkData(float data[], int rowspan){ + if (rowspan < ncols+2) + throw new IllegalArgumentException("The row span "+rowspan+ + "is not long enough for ncols="+ncols); + if (nrows*rowspan > data.length) + throw new IllegalArgumentException("The data array is too small for "+ + nrows+"x"+rowspan+" data.length="+data.length);} + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public void transform(float data[]) { + transform(data,ncols+2); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public void transform(float data[], int rowspan) { + checkData(data,rowspan); + for(int i=0; iwraparound format */ + public float[] toWraparoundOrder(float data[], int rowspan){ + float newdata[] = new float[2*nrows*ncols]; + int nc = ncols/2; + for(int i=0; imethod, implement the + * FFT using some particular method. + *

+ * The physical layout of the mathematical data d[i] in the array data is as follows: + *

+  *    d[i] = data[i0 + stride*i]
+  *
+ * The FFT (D[i]) of real data (d[i]) is complex, but restricted by symmetry: + *
+  *    D[n-i] = conj(D[i])
+  *
+ * It turns out that there are still n `independent' values, so the transformation + * can still be carried out in-place. + * However, each Real FFT method tends to leave the real and imaginary parts + * distributed in the data array in its own unique arrangment. + *

+ * You must consult the documentation for the specific classes implementing + * RealFloatFFT for the details. + * Note, however, that each class's backtransform and inverse methods understand + * thier own unique ordering of the transformed result and can invert it correctly. + * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + */ + +public abstract class RealFloatFFT { + + int n; + + /** Create an FFT for transforming n points of real, single precision data. */ + public RealFloatFFT(int n){ + if (n <= 0) + throw new IllegalArgumentException("The transform length must be >=0 : "+n); + this.n = n; } + + protected void checkData(float data[], int i0, int stride){ + if (i0 < 0) + throw new IllegalArgumentException("The offset must be >=0 : "+i0); + if (stride < 1) + throw new IllegalArgumentException("The stride must be >=1 : "+stride); + if (i0+stride*(n-1)+1 > data.length) + throw new IllegalArgumentException("The data array is too small for "+n+":"+ + "i0="+i0+" stride="+stride+ + " data.length="+data.length); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public void transform (float data[]) { + transform (data, 0,1); } + + /** Compute the Fast Fourier Transform of data leaving the result in data. */ + public abstract void transform (float data[], int i0, int stride); + + /** Return data in wraparound order. + * @see wraparound format */ + public float[] toWraparoundOrder(float data[]){ + return toWraparoundOrder(data,0,1); } + + /** Return data in wraparound order. + * i0 and stride are used to traverse data; the new array is in + * packed (i0=0, stride=1) format. + * @see wraparound format */ + public abstract float[] toWraparoundOrder(float data[], int i0, int stride); + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place.*/ + public void backtransform (float data[]) { + backtransform(data,0,1); } + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place.*/ + public abstract void backtransform (float data[], int i0, int stride); + + /** Return the normalization factor. + * Multiply the elements of the backtransform'ed data to get the normalized inverse.*/ + public float normalization(){ + return 1.0f/((float) n); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse(float data[]) { + inverse(data,0,1); } + + /** Compute the (nomalized) inverse FFT of data, leaving it in place.*/ + public void inverse (float data[], int i0, int stride) { + backtransform(data, i0, stride); + + /* normalize inverse fft with 1/n */ + float norm = normalization(); + for (int i = 0; i < n; i++) + data[i0+stride*i] *= norm; + } + +} diff --git a/lib/jnt/FFT/RealFloatFFT_Radix2.java b/lib/jnt/FFT/RealFloatFFT_Radix2.java new file mode 100644 index 00000000..4521dd9e --- /dev/null +++ b/lib/jnt/FFT/RealFloatFFT_Radix2.java @@ -0,0 +1,253 @@ +package jnt.FFT; +/** Computes FFT's of real, single precision data where n is an integral power of 2. + * The physical layout of the mathematical data d[i] in the array data is as follows: + *

+  *    d[i] = data[i0 + stride*i]
+  *
+ * The FFT (D[i]) of real data (d[i]) is complex, but restricted by symmetry: + *
+  *    D[n-i] = conj(D[i])
+  *
+ * It turns out that there are still n `independent' values, so the transformation + * can still be carried out in-place. + * For RealFloatFFT_Radix2, the correspondence is as follows: + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + *
LogicalPhysical
Re(D[0])=data[0]
Im(D[0])=0
Re(D[1])=data[1]
Im(D[1])=data[n-1]
......
Re(D[k])=data[k]
Im(D[k])=data[n-k]
......
Re(D[n/2])=data[n/2]
Im(D[n/2])=0
......
Re(D[n-k])= data[k]
Im(D[n-k])=-data[n-k]
......
Re(D[n-1])= data[1]
Im(D[n-1])=-data[n-1]
+ * + * @author Bruce R. Miller bruce.miller@nist.gov + * @author Contribution of the National Institute of Standards and Technology, + * @author not subject to copyright. + * @author Derived from GSL (Gnu Scientific Library) + * @author GSL's FFT Code by Brian Gough bjg@vvv.lanl.gov + * @author Since GSL is released under + * @author GPL, + * @author this package must also be. + */ + +public class RealFloatFFT_Radix2 extends RealFloatFFT { + private int logn; + + /** Create an FFT for transforming n points of real, single precision data. + * n must be an integral power of 2. */ + public RealFloatFFT_Radix2(int n){ + /* make sure that n is a power of 2 */ + super(n); + logn = Factorize.log2(n); + if (logn < 0) + throw new IllegalArgumentException(n+" is not a power of 2"); + } + + /** Compute the Fast Fourier Transform of data leaving the result in data. + * See {@link Radix2 Transform Layout} for description of + * the resulting data layout.*/ + public void transform (float data[], int i0, int stride) { + checkData(data,i0,stride); + int p, p_1, q; + + if (n == 1) return; /* identity operation */ + + /* bit reverse the ordering of input data for decimation in time algorithm */ + bitreverse(data, i0, stride); + + /* apply fft recursion */ + p = 1; q = n ; + for (int i = 1; i <= logn; i++) { + int a, b; + + p_1 = p ; + p = 2 * p ; + q = q / 2 ; + + /* a = 0 */ + + for (b = 0; b < q; b++) { + float t0_real = data[i0+stride*b*p] + data[i0+stride*(b*p + p_1)]; + float t1_real = data[i0+stride*b*p] - data[i0+stride*(b*p + p_1)]; + + data[i0+stride*b*p] = t0_real; + data[i0+stride*(b*p + p_1)] = t1_real; + } + + /* a = 1 ... p_{i-1}/2 - 1 */ + + { + float w_real = 1.0f; + float w_imag = 0.0f; + + double theta = - 2.0 * Math.PI / p; + + float s = (float) Math.sin(theta); + float t = (float) Math.sin(theta / 2.0); + float s2 = 2.0f * t * t; + + for (a = 1; a < (p_1)/2; a++) { + /* trignometric recurrence for w-> exp(i theta) w */ + + { + float tmp_real = w_real - s * w_imag - s2 * w_real; + float tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + } + + for (b = 0; b < q; b++) { + float z0_real = data[i0+stride*(b*p + a)]; + float z0_imag = data[i0+stride*(b*p + p_1 - a)]; + float z1_real = data[i0+stride*(b*p + p_1 + a)]; + float z1_imag = data[i0+stride*(b*p + p - a)]; + + /* t0 = z0 + w * z1 */ + data[i0+stride*(b*p + a)] =z0_real + w_real * z1_real - w_imag * z1_imag; + data[i0+stride*(b*p + p - a)]=z0_imag + w_real * z1_imag + w_imag * z1_real; + /* t1 = -(z0 - w * z1) */ + data[i0+stride*(b*p + p_1 - a)]=z0_real - w_real * z1_real + w_imag * z1_imag; + data[i0+stride*(b*p + p_1 + a)]=-(z0_imag - w_real * z1_imag - w_imag * z1_real); + } + } + } + + if (p_1 > 1) { + for (b = 0; b < q; b++) { + /* a = p_{i-1}/2 */ + data[i0+stride*(b*p + p - p_1/2)] *= -1 ; + }} + } + } + + /** Compute the (unnomalized) inverse FFT of data, leaving it in place. + * The data must be in the same arrangement as that produced by + {@link #transform transform}. */ + public void backtransform (float data[], int i0, int stride) { + checkData(data,i0,stride); + int p, p_1, q; + + if (n == 1) return; /* identity operation */ + + /* apply fft recursion */ + + p = n; q = 1 ; p_1 = n/2 ; + + for (int i = 1; i <= logn; i++) { + int a, b; + + /* a = 0 */ + + for (b = 0; b < q; b++) { + float z0 = data[i0+stride*b*p]; + float z1 = data[i0+stride*(b*p + p_1)]; + data[i0+stride*b*p] = z0 + z1 ; + data[i0+stride*(b*p + p_1)] = z0 - z1 ; } + + /* a = 1 ... p_{i-1}/2 - 1 */ + + { + float w_real = 1.0f; + float w_imag = 0.0f; + + double theta = 2.0 * Math.PI / p; + + float s = (float) Math.sin(theta); + float t = (float) Math.sin(theta / 2.0); + float s2 = 2.0f * t * t; + + for (a = 1; a < (p_1)/2; a++) { + /* trignometric recurrence for w-> exp(i theta) w */ + float tmp_real = w_real - s * w_imag - s2 * w_real; + float tmp_imag = w_imag + s * w_real - s2 * w_imag; + w_real = tmp_real; + w_imag = tmp_imag; + + for (b = 0; b < q; b++) { + float z0_real = data[i0+stride*(b*p + a)]; + float z0_imag = data[i0+stride*(b*p + p - a)]; + float z1_real = data[i0+stride*(b*p + p_1 - a)]; + float z1_imag = -data[i0+stride*(b*p + p_1 + a)]; + + /* t0 = z0 + z1 */ + data[i0+stride*(b*p + a)] = z0_real + z1_real; + data[i0+stride*(b*p + p_1 - a)] = z0_imag + z1_imag; + + /* t1 = (z0 - z1) */ + float t1_real = z0_real - z1_real; + float t1_imag = z0_imag - z1_imag; + data[i0+stride*(b*p + p_1 + a)] = (w_real * t1_real - w_imag * t1_imag) ; + data[i0+stride*(b*p + p - a)] = (w_real * t1_imag + w_imag * t1_real) ; + } + } + } + + if (p_1 > 1) { + for (b = 0; b < q; b++) { + data[i0+stride*(b*p + p_1/2)] *= 2 ; + data[i0+stride*(b*p + p_1 + p_1/2)] *= -2 ; + } + } + + p_1 = p_1 / 2 ; + p = p / 2 ; + q = q * 2 ; + } + + /* bit reverse the ordering of output data for decimation in + frequency algorithm */ + bitreverse(data, i0, stride); + + } + + /** Return data in wraparound order. + * @see wraparound format */ + public float[] 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zv+wi2Jbk#|@6Vsx*mxPA=lMOq=lA~mJ&zP$xiVufOZ_f86_t$F+nSr}62*ssK z%9A}IRd}6ixHq8lvDBb_+EOSoy33VicS(Blkl_7Gwn`gVTsl5 z#3r79y;1`lx@1NFYWT+$e2rm#^7x>fosL8t&$=$jGulln;@1Vi1#wTY)1bfg?6B0PnA$+c@;5j9n{)Q+}XfQ5rGQ|A`G*)9jqNJ#g!RZh-Jxq1 z!8T#+G6kc>uc%ladU9H@T!?po!&Q3H{(rtvU1->IQI?UcHC2X-_{G>Jj#1Od%QuX_86V$cEEbE$G5g}3)TZH5W}@Pj z6VLT3UlNTT^%D9Lu4RuHEu!p|3r#!2+izGXK>6AJo&DS~Maonc%yiq@`=S!{mLu7Z zEpKe|Oh?7F!nj=Jj<@7^?aUWPckHVh0iJ(ck&*-{6PF>(xv(yR%OcdN?|bbx?_r+E zlX=ko8r&|5xy9WiJ(9%Ec58m)rA#!{Alhw2n575PjGz3Pjh^{4J{@IXym{^~S< z#m&(HO)^`}VsJ$1Tn|C7V~W7Hnnumn0hSw>yl?-o3*VQaD*Iv-cuo)k_`R}1WJ z(FB=RD1En$FG6~3!#T8NJ|b*cEN40u2L+kd*y?P0*s!z%Qv}L%z#ma>ERu4)n}l#U z6>Lnk=M>pTIXl?Kapj`e~?iJ0nQhjsABU^?eqY=3bw~! z;QQ2+J}j4m)##(C_79QBNQ^xnx%?p|iYW$~J9@!-DK^W2*%XFf8f7GVsqd7p&YuG2 z6{ySiQYUVZaXX$feW zb08hlG{bR>l)U3^-=s%?zuM#=X9Bi;vJom@gp=??mALIvs*R#+$Ed**jMkDuTfWm# zs4U05ar(VjPQdMIV?E4MhYH}@N9@!iM@;>3%85sm5vc`KZuH>lE~wt=a@ve+Z!sj> z2ZK9$b@YLGDj|SRnX_xUB|xnI+Hvcf_5zR0c%7~>eCyGL$IgU*HF%5m^iN{RTVpGp zd= limit) return false; + char ch = current.charAt(cursor); + if (ch > max || ch < min) return false; + ch -= min; + if ((s[ch >> 3] & (0X1 << (ch & 0X7))) == 0) return false; + cursor++; + return true; + } + + protected boolean in_grouping_b(char [] s, int min, int max) + { + if (cursor <= limit_backward) return false; + char ch = current.charAt(cursor - 1); + if (ch > max || ch < min) return false; + ch -= min; + if ((s[ch >> 3] & (0X1 << (ch & 0X7))) == 0) return false; + cursor--; + return true; + } + + protected boolean out_grouping(char [] s, int min, int max) + { + if (cursor >= limit) return false; + char ch = current.charAt(cursor); + if (ch > max || ch < min) { + cursor++; + return true; + } + ch -= min; + if ((s[ch >> 3] & (0X1 << (ch & 0X7))) == 0) { + cursor ++; + return true; + } + return false; + } + + protected boolean out_grouping_b(char [] s, int min, int max) + { + if (cursor <= limit_backward) return false; + char ch = current.charAt(cursor - 1); + if (ch > max || ch < min) { + cursor--; + return true; + } + ch -= min; + if ((s[ch >> 3] & (0X1 << (ch & 0X7))) == 0) { + cursor--; + return true; + } + return false; + } + + protected boolean in_range(int min, int max) + { + if (cursor >= limit) return false; + char ch = current.charAt(cursor); + if (ch > max || ch < min) return false; + cursor++; + return true; + } + + protected boolean in_range_b(int min, int max) + { + if (cursor <= limit_backward) return false; + char ch = current.charAt(cursor - 1); + if (ch > max || ch < min) return false; + cursor--; + return true; + } + + protected boolean out_range(int min, int max) + { + if (cursor >= limit) return false; + char ch = current.charAt(cursor); + if (!(ch > max || ch < min)) return false; + cursor++; + return true; + } + + protected boolean out_range_b(int min, int max) + { + if (cursor <= limit_backward) return false; + char ch = current.charAt(cursor - 1); + if(!(ch > max || ch < min)) return false; + cursor--; + return true; + } + + protected boolean eq_s(int s_size, String s) + { + if (limit - cursor < s_size) return false; + int i; + for (i = 0; i != s_size; i++) { + if (current.charAt(cursor + i) != s.charAt(i)) return false; + } + cursor += s_size; + return true; + } + + protected boolean eq_s_b(int s_size, String s) + { + if (cursor - limit_backward < s_size) return false; + int i; + for (i = 0; i != s_size; i++) { + if (current.charAt(cursor - s_size + i) != s.charAt(i)) return false; + } + cursor -= s_size; + return true; + } + + protected boolean eq_v(CharSequence s) + { + return eq_s(s.length(), s.toString()); + } + + protected boolean eq_v_b(CharSequence s) + { return eq_s_b(s.length(), s.toString()); + } + + protected int find_among(Among v[], int v_size) + { + int i = 0; + int j = v_size; + + int c = cursor; + int l = limit; + + int common_i = 0; + int common_j = 0; + + boolean first_key_inspected = false; + + while(true) { + int k = i + ((j - i) >> 1); + int diff = 0; + int common = common_i < common_j ? common_i : common_j; // smaller + Among w = v[k]; + int i2; + for (i2 = common; i2 < w.s_size; i2++) { + if (c + common == l) { + diff = -1; + break; + } + diff = current.charAt(c + common) - w.s[i2]; + if (diff != 0) break; + common++; + } + if (diff < 0) { + j = k; + common_j = common; + } else { + i = k; + common_i = common; + } + if (j - i <= 1) { + if (i > 0) break; // v->s has been inspected + if (j == i) break; // only one item in v + + // - but now we need to go round once more to get + // v->s inspected. This looks messy, but is actually + // the optimal approach. + + if (first_key_inspected) break; + first_key_inspected = true; + } + } + while(true) { + Among w = v[i]; + if (common_i >= w.s_size) { + cursor = c + w.s_size; + if (w.method == null) return w.result; + boolean res; + try { + Object resobj = w.method.invoke(w.methodobject, + new Object[0]); + res = resobj.toString().equals("true"); + } catch (InvocationTargetException e) { + res = false; + // FIXME - debug message + } catch (IllegalAccessException e) { + res = false; + // FIXME - debug message + } + cursor = c + w.s_size; + if (res) return w.result; + } + i = w.substring_i; + if (i < 0) return 0; + } + } + + // find_among_b is for backwards processing. Same comments apply + protected int find_among_b(Among v[], int v_size) + { + int i = 0; + int j = v_size; + + int c = cursor; + int lb = limit_backward; + + int common_i = 0; + int common_j = 0; + + boolean first_key_inspected = false; + + while(true) { + int k = i + ((j - i) >> 1); + int diff = 0; + int common = common_i < common_j ? common_i : common_j; + Among w = v[k]; + int i2; + for (i2 = w.s_size - 1 - common; i2 >= 0; i2--) { + if (c - common == lb) { + diff = -1; + break; + } + diff = current.charAt(c - 1 - common) - w.s[i2]; + if (diff != 0) break; + common++; + } + if (diff < 0) { + j = k; + common_j = common; + } else { + i = k; + common_i = common; + } + if (j - i <= 1) { + if (i > 0) break; + if (j == i) break; + if (first_key_inspected) break; + first_key_inspected = true; + } + } + while(true) { + Among w = v[i]; + if (common_i >= w.s_size) { + cursor = c - w.s_size; + if (w.method == null) return w.result; + + boolean res; + try { + Object resobj = w.method.invoke(w.methodobject, + new Object[0]); + res = resobj.toString().equals("true"); + } catch (InvocationTargetException e) { + res = false; + // FIXME - debug message + } catch (IllegalAccessException e) { + res = false; + // FIXME - debug message + } + cursor = c - w.s_size; + if (res) return w.result; + } + i = w.substring_i; + if (i < 0) return 0; + } + } + + /* to replace chars between c_bra and c_ket in current by the + * chars in s. + */ + protected int replace_s(int c_bra, int c_ket, String s) + { + int adjustment = s.length() - (c_ket - c_bra); + current.replace(c_bra, c_ket, s); + limit += adjustment; + if (cursor >= c_ket) cursor += adjustment; + else if (cursor > c_bra) cursor = c_bra; + return adjustment; + } + + protected void slice_check() + { + if (bra < 0 || + bra > ket || + ket > limit || + limit > current.length()) // this line could be removed + { + System.err.println("faulty slice operation"); + // FIXME: report error somehow. + /* + fprintf(stderr, "faulty slice operation:\n"); + debug(z, -1, 0); + exit(1); + */ + } + } + + protected void slice_from(String s) + { + slice_check(); + replace_s(bra, ket, s); + } + + protected void slice_from(CharSequence s) + { + slice_from(s.toString()); + } + + protected void slice_del() + { + slice_from(""); + } + + protected void insert(int c_bra, int c_ket, String s) + { + int adjustment = replace_s(c_bra, c_ket, s); + if (c_bra <= bra) bra += adjustment; + if (c_bra <= ket) ket += adjustment; + } + + protected void insert(int c_bra, int c_ket, CharSequence s) + { + insert(c_bra, c_ket, s.toString()); + } + + /* Copy the slice into the supplied StringBuffer */ + protected StringBuffer slice_to(StringBuffer s) + { + slice_check(); + int len = ket - bra; + s.replace(0, s.length(), current.substring(bra, ket)); + return s; + } + + /* Copy the slice into the supplied StringBuilder */ + protected StringBuilder slice_to(StringBuilder s) + { + slice_check(); + int len = ket - bra; + s.replace(0, s.length(), current.substring(bra, ket)); + return s; + } + + protected StringBuffer assign_to(StringBuffer s) + { + s.replace(0, s.length(), current.substring(0, limit)); + return s; + } + + protected StringBuilder assign_to(StringBuilder s) + { + s.replace(0, s.length(), current.substring(0, limit)); + return s; + } + +/* +extern void debug(struct SN_env * z, int number, int line_count) +{ int i; + int limit = SIZE(z->p); + //if (number >= 0) printf("%3d (line %4d): '", number, line_count); + if (number >= 0) printf("%3d (line %4d): [%d]'", number, line_count,limit); + for (i = 0; i <= limit; i++) + { if (z->lb == i) printf("{"); + if (z->bra == i) printf("["); + if (z->c == i) printf("|"); + if (z->ket == i) printf("]"); + if (z->l == i) printf("}"); + if (i < limit) + { int ch = z->p[i]; + if (ch == 0) ch = '#'; + printf("%c", ch); + } + } + printf("'\n"); +} +*/ + +}; diff --git a/lib/org/tartarus/snowball/SnowballStemmer.java b/lib/org/tartarus/snowball/SnowballStemmer.java new file mode 100644 index 00000000..960bd55f --- /dev/null +++ b/lib/org/tartarus/snowball/SnowballStemmer.java @@ -0,0 +1,7 @@ + +package org.tartarus.snowball; +import java.lang.reflect.InvocationTargetException; + +public abstract class SnowballStemmer extends SnowballProgram { + public abstract boolean stem(); +}; diff --git a/lib/org/tartarus/snowball/ext/danishStemmer.java b/lib/org/tartarus/snowball/ext/danishStemmer.java new file mode 100644 index 00000000..32045b9f --- /dev/null +++ b/lib/org/tartarus/snowball/ext/danishStemmer.java @@ -0,0 +1,439 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class danishStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static danishStemmer methodObject = new danishStemmer (); + + private final static Among a_0[] = { + new Among ( "hed", -1, 1, "", methodObject ), + new Among ( "ethed", 0, 1, "", methodObject ), + new Among ( "ered", -1, 1, "", methodObject ), + new Among ( "e", -1, 1, "", methodObject ), + new Among ( "erede", 3, 1, "", methodObject ), + new Among ( "ende", 3, 1, "", methodObject ), + new Among ( "erende", 5, 1, "", methodObject ), + new Among ( "ene", 3, 1, "", methodObject ), + new Among ( "erne", 3, 1, "", methodObject ), + new Among ( "ere", 3, 1, "", methodObject ), + new Among ( "en", -1, 1, "", methodObject ), + new Among ( "heden", 10, 1, "", methodObject ), + new Among ( "eren", 10, 1, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "heder", 13, 1, "", methodObject ), + new Among ( "erer", 13, 1, "", methodObject ), + new Among ( "s", -1, 2, "", methodObject ), + new Among ( "heds", 16, 1, "", methodObject ), + new Among ( "es", 16, 1, "", methodObject ), + new Among ( "endes", 18, 1, "", methodObject ), + new Among ( "erendes", 19, 1, "", methodObject ), + new Among ( "enes", 18, 1, "", methodObject ), + new Among ( "ernes", 18, 1, "", methodObject ), + new Among ( "eres", 18, 1, "", methodObject ), + new Among ( "ens", 16, 1, "", methodObject ), + new Among ( "hedens", 24, 1, "", methodObject ), + new Among ( "erens", 24, 1, "", methodObject ), + new Among ( "ers", 16, 1, "", methodObject ), + new Among ( "ets", 16, 1, "", methodObject ), + new Among ( "erets", 28, 1, "", methodObject ), + new Among ( "et", -1, 1, "", methodObject ), + new Among ( "eret", 30, 1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "gd", -1, -1, "", methodObject ), + new Among ( "dt", -1, -1, "", methodObject ), + new Among ( "gt", -1, -1, "", methodObject ), + new Among ( "kt", -1, -1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ig", -1, 1, "", methodObject ), + new Among ( "lig", 0, 1, "", methodObject ), + new Among ( "elig", 1, 1, "", methodObject ), + new Among ( "els", -1, 1, "", methodObject ), + new Among ( "l\u00F8st", -1, 2, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 128 }; + + private static final char g_s_ending[] = {239, 254, 42, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16 }; + + private int I_x; + private int I_p1; + private java.lang.StringBuilder S_ch = new java.lang.StringBuilder(); + + private void copy_from(danishStemmer other) { + I_x = other.I_x; + I_p1 = other.I_p1; + S_ch = other.S_ch; + super.copy_from(other); + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + // (, line 29 + I_p1 = limit; + // test, line 33 + v_1 = cursor; + // (, line 33 + // hop, line 33 + { + int c = cursor + 3; + if (0 > c || c > limit) + { + return false; + } + cursor = c; + } + // setmark x, line 33 + I_x = cursor; + cursor = v_1; + // goto, line 34 + golab0: while(true) + { + v_2 = cursor; + lab1: do { + if (!(in_grouping(g_v, 97, 248))) + { + break lab1; + } + cursor = v_2; + break golab0; + } while (false); + cursor = v_2; + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 34 + golab2: while(true) + { + lab3: do { + if (!(out_grouping(g_v, 97, 248))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p1, line 34 + I_p1 = cursor; + // try, line 35 + lab4: do { + // (, line 35 + if (!(I_p1 < I_x)) + { + break lab4; + } + I_p1 = I_x; + } while (false); + return true; + } + + private boolean r_main_suffix() { + int among_var; + int v_1; + int v_2; + // (, line 40 + // setlimit, line 41 + v_1 = limit - cursor; + // tomark, line 41 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 41 + // [, line 41 + ket = cursor; + // substring, line 41 + among_var = find_among_b(a_0, 32); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 41 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 48 + // delete, line 48 + slice_del(); + break; + case 2: + // (, line 50 + if (!(in_grouping_b(g_s_ending, 97, 229))) + { + return false; + } + // delete, line 50 + slice_del(); + break; + } + return true; + } + + private boolean r_consonant_pair() { + int v_1; + int v_2; + int v_3; + // (, line 54 + // test, line 55 + v_1 = limit - cursor; + // (, line 55 + // setlimit, line 56 + v_2 = limit - cursor; + // tomark, line 56 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_3 = limit_backward; + limit_backward = cursor; + cursor = limit - v_2; + // (, line 56 + // [, line 56 + ket = cursor; + // substring, line 56 + if (find_among_b(a_1, 4) == 0) + { + limit_backward = v_3; + return false; + } + // ], line 56 + bra = cursor; + limit_backward = v_3; + cursor = limit - v_1; + // next, line 62 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // ], line 62 + bra = cursor; + // delete, line 62 + slice_del(); + return true; + } + + private boolean r_other_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 65 + // do, line 66 + v_1 = limit - cursor; + lab0: do { + // (, line 66 + // [, line 66 + ket = cursor; + // literal, line 66 + if (!(eq_s_b(2, "st"))) + { + break lab0; + } + // ], line 66 + bra = cursor; + // literal, line 66 + if (!(eq_s_b(2, "ig"))) + { + break lab0; + } + // delete, line 66 + slice_del(); + } while (false); + cursor = limit - v_1; + // setlimit, line 67 + v_2 = limit - cursor; + // tomark, line 67 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_3 = limit_backward; + limit_backward = cursor; + cursor = limit - v_2; + // (, line 67 + // [, line 67 + ket = cursor; + // substring, line 67 + among_var = find_among_b(a_2, 5); + if (among_var == 0) + { + limit_backward = v_3; + return false; + } + // ], line 67 + bra = cursor; + limit_backward = v_3; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 70 + // delete, line 70 + slice_del(); + // do, line 70 + v_4 = limit - cursor; + lab1: do { + // call consonant_pair, line 70 + if (!r_consonant_pair()) + { + break lab1; + } + } while (false); + cursor = limit - v_4; + break; + case 2: + // (, line 72 + // <-, line 72 + slice_from("l\u00F8s"); + break; + } + return true; + } + + private boolean r_undouble() { + int v_1; + int v_2; + // (, line 75 + // setlimit, line 76 + v_1 = limit - cursor; + // tomark, line 76 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 76 + // [, line 76 + ket = cursor; + if (!(out_grouping_b(g_v, 97, 248))) + { + limit_backward = v_2; + return false; + } + // ], line 76 + bra = cursor; + // -> ch, line 76 + S_ch = slice_to(S_ch); + limit_backward = v_2; + // name ch, line 77 + if (!(eq_v_b(S_ch))) + { + return false; + } + // delete, line 78 + slice_del(); + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + // (, line 82 + // do, line 84 + v_1 = cursor; + lab0: do { + // call mark_regions, line 84 + if (!r_mark_regions()) + { + break lab0; + } + } while (false); + cursor = v_1; + // backwards, line 85 + limit_backward = cursor; cursor = limit; + // (, line 85 + // do, line 86 + v_2 = limit - cursor; + lab1: do { + // call main_suffix, line 86 + if (!r_main_suffix()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 87 + v_3 = limit - cursor; + lab2: do { + // call consonant_pair, line 87 + if (!r_consonant_pair()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 88 + v_4 = limit - cursor; + lab3: do { + // call other_suffix, line 88 + if (!r_other_suffix()) + { + break lab3; + } + } while (false); + cursor = limit - v_4; + // do, line 89 + v_5 = limit - cursor; + lab4: do { + // call undouble, line 89 + if (!r_undouble()) + { + break lab4; + } + } while (false); + cursor = limit - v_5; + cursor = limit_backward; return true; + } + + public boolean equals( Object o ) { + return o instanceof danishStemmer; + } + + public int hashCode() { + return danishStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/dutchStemmer.java b/lib/org/tartarus/snowball/ext/dutchStemmer.java new file mode 100644 index 00000000..cc9f4b48 --- /dev/null +++ b/lib/org/tartarus/snowball/ext/dutchStemmer.java @@ -0,0 +1,853 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class dutchStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static dutchStemmer methodObject = new dutchStemmer (); + + private final static Among a_0[] = { + new Among ( "", -1, 6, "", methodObject ), + new Among ( "\u00E1", 0, 1, "", methodObject ), + new Among ( "\u00E4", 0, 1, "", methodObject ), + new Among ( "\u00E9", 0, 2, "", methodObject ), + new Among ( "\u00EB", 0, 2, "", methodObject ), + new Among ( "\u00ED", 0, 3, "", methodObject ), + new Among ( "\u00EF", 0, 3, "", methodObject ), + new Among ( "\u00F3", 0, 4, "", methodObject ), + new Among ( "\u00F6", 0, 4, "", methodObject ), + new Among ( "\u00FA", 0, 5, "", methodObject ), + new Among ( "\u00FC", 0, 5, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "", -1, 3, "", methodObject ), + new Among ( "I", 0, 2, "", methodObject ), + new Among ( "Y", 0, 1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "dd", -1, -1, "", methodObject ), + new Among ( "kk", -1, -1, "", methodObject ), + new Among ( "tt", -1, -1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "ene", -1, 2, "", methodObject ), + new Among ( "se", -1, 3, "", methodObject ), + new Among ( "en", -1, 2, "", methodObject ), + new Among ( "heden", 2, 1, "", methodObject ), + new Among ( "s", -1, 3, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "end", -1, 1, "", methodObject ), + new Among ( "ig", -1, 2, "", methodObject ), + new Among ( "ing", -1, 1, "", methodObject ), + new Among ( "lijk", -1, 3, "", methodObject ), + new Among ( "baar", -1, 4, "", methodObject ), + new Among ( "bar", -1, 5, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "aa", -1, -1, "", methodObject ), + new Among ( "ee", -1, -1, "", methodObject ), + new Among ( "oo", -1, -1, "", methodObject ), + new Among ( "uu", -1, -1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128 }; + + private static final char g_v_I[] = {1, 0, 0, 17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128 }; + + private static final char g_v_j[] = {17, 67, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128 }; + + private int I_p2; + private int I_p1; + private boolean B_e_found; + + private void copy_from(dutchStemmer other) { + I_p2 = other.I_p2; + I_p1 = other.I_p1; + B_e_found = other.B_e_found; + super.copy_from(other); + } + + private boolean r_prelude() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + // (, line 41 + // test, line 42 + v_1 = cursor; + // repeat, line 42 + replab0: while(true) + { + v_2 = cursor; + lab1: do { + // (, line 42 + // [, line 43 + bra = cursor; + // substring, line 43 + among_var = find_among(a_0, 11); + if (among_var == 0) + { + break lab1; + } + // ], line 43 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 45 + // <-, line 45 + slice_from("a"); + break; + case 2: + // (, line 47 + // <-, line 47 + slice_from("e"); + break; + case 3: + // (, line 49 + // <-, line 49 + slice_from("i"); + break; + case 4: + // (, line 51 + // <-, line 51 + slice_from("o"); + break; + case 5: + // (, line 53 + // <-, line 53 + slice_from("u"); + break; + case 6: + // (, line 54 + // next, line 54 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_2; + break replab0; + } + cursor = v_1; + // try, line 57 + v_3 = cursor; + lab2: do { + // (, line 57 + // [, line 57 + bra = cursor; + // literal, line 57 + if (!(eq_s(1, "y"))) + { + cursor = v_3; + break lab2; + } + // ], line 57 + ket = cursor; + // <-, line 57 + slice_from("Y"); + } while (false); + // repeat, line 58 + replab3: while(true) + { + v_4 = cursor; + lab4: do { + // goto, line 58 + golab5: while(true) + { + v_5 = cursor; + lab6: do { + // (, line 58 + if (!(in_grouping(g_v, 97, 232))) + { + break lab6; + } + // [, line 59 + bra = cursor; + // or, line 59 + lab7: do { + v_6 = cursor; + lab8: do { + // (, line 59 + // literal, line 59 + if (!(eq_s(1, "i"))) + { + break lab8; + } + // ], line 59 + ket = cursor; + if (!(in_grouping(g_v, 97, 232))) + { + break lab8; + } + // <-, line 59 + slice_from("I"); + break lab7; + } while (false); + cursor = v_6; + // (, line 60 + // literal, line 60 + if (!(eq_s(1, "y"))) + { + break lab6; + } + // ], line 60 + ket = cursor; + // <-, line 60 + slice_from("Y"); + } while (false); + cursor = v_5; + break golab5; + } while (false); + cursor = v_5; + if (cursor >= limit) + { + break lab4; + } + cursor++; + } + continue replab3; + } while (false); + cursor = v_4; + break replab3; + } + return true; + } + + private boolean r_mark_regions() { + // (, line 64 + I_p1 = limit; + I_p2 = limit; + // gopast, line 69 + golab0: while(true) + { + lab1: do { + if (!(in_grouping(g_v, 97, 232))) + { + break lab1; + } + break golab0; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 69 + golab2: while(true) + { + lab3: do { + if (!(out_grouping(g_v, 97, 232))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p1, line 69 + I_p1 = cursor; + // try, line 70 + lab4: do { + // (, line 70 + if (!(I_p1 < 3)) + { + break lab4; + } + I_p1 = 3; + } while (false); + // gopast, line 71 + golab5: while(true) + { + lab6: do { + if (!(in_grouping(g_v, 97, 232))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 71 + golab7: while(true) + { + lab8: do { + if (!(out_grouping(g_v, 97, 232))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p2, line 71 + I_p2 = cursor; + return true; + } + + private boolean r_postlude() { + int among_var; + int v_1; + // repeat, line 75 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 75 + // [, line 77 + bra = cursor; + // substring, line 77 + among_var = find_among(a_1, 3); + if (among_var == 0) + { + break lab1; + } + // ], line 77 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 78 + // <-, line 78 + slice_from("y"); + break; + case 2: + // (, line 79 + // <-, line 79 + slice_from("i"); + break; + case 3: + // (, line 80 + // next, line 80 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_undouble() { + int v_1; + // (, line 90 + // test, line 91 + v_1 = limit - cursor; + // among, line 91 + if (find_among_b(a_2, 3) == 0) + { + return false; + } + cursor = limit - v_1; + // [, line 91 + ket = cursor; + // next, line 91 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // ], line 91 + bra = cursor; + // delete, line 91 + slice_del(); + return true; + } + + private boolean r_e_ending() { + int v_1; + // (, line 94 + // unset e_found, line 95 + B_e_found = false; + // [, line 96 + ket = cursor; + // literal, line 96 + if (!(eq_s_b(1, "e"))) + { + return false; + } + // ], line 96 + bra = cursor; + // call R1, line 96 + if (!r_R1()) + { + return false; + } + // test, line 96 + v_1 = limit - cursor; + if (!(out_grouping_b(g_v, 97, 232))) + { + return false; + } + cursor = limit - v_1; + // delete, line 96 + slice_del(); + // set e_found, line 97 + B_e_found = true; + // call undouble, line 98 + if (!r_undouble()) + { + return false; + } + return true; + } + + private boolean r_en_ending() { + int v_1; + int v_2; + // (, line 101 + // call R1, line 102 + if (!r_R1()) + { + return false; + } + // and, line 102 + v_1 = limit - cursor; + if (!(out_grouping_b(g_v, 97, 232))) + { + return false; + } + cursor = limit - v_1; + // not, line 102 + { + v_2 = limit - cursor; + lab0: do { + // literal, line 102 + if (!(eq_s_b(3, "gem"))) + { + break lab0; + } + return false; + } while (false); + cursor = limit - v_2; + } + // delete, line 102 + slice_del(); + // call undouble, line 103 + if (!r_undouble()) + { + return false; + } + return true; + } + + private boolean r_standard_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + // (, line 106 + // do, line 107 + v_1 = limit - cursor; + lab0: do { + // (, line 107 + // [, line 108 + ket = cursor; + // substring, line 108 + among_var = find_among_b(a_3, 5); + if (among_var == 0) + { + break lab0; + } + // ], line 108 + bra = cursor; + switch(among_var) { + case 0: + break lab0; + case 1: + // (, line 110 + // call R1, line 110 + if (!r_R1()) + { + break lab0; + } + // <-, line 110 + slice_from("heid"); + break; + case 2: + // (, line 113 + // call en_ending, line 113 + if (!r_en_ending()) + { + break lab0; + } + break; + case 3: + // (, line 116 + // call R1, line 116 + if (!r_R1()) + { + break lab0; + } + if (!(out_grouping_b(g_v_j, 97, 232))) + { + break lab0; + } + // delete, line 116 + slice_del(); + break; + } + } while (false); + cursor = limit - v_1; + // do, line 120 + v_2 = limit - cursor; + lab1: do { + // call e_ending, line 120 + if (!r_e_ending()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 122 + v_3 = limit - cursor; + lab2: do { + // (, line 122 + // [, line 122 + ket = cursor; + // literal, line 122 + if (!(eq_s_b(4, "heid"))) + { + break lab2; + } + // ], line 122 + bra = cursor; + // call R2, line 122 + if (!r_R2()) + { + break lab2; + } + // not, line 122 + { + v_4 = limit - cursor; + lab3: do { + // literal, line 122 + if (!(eq_s_b(1, "c"))) + { + break lab3; + } + break lab2; + } while (false); + cursor = limit - v_4; + } + // delete, line 122 + slice_del(); + // [, line 123 + ket = cursor; + // literal, line 123 + if (!(eq_s_b(2, "en"))) + { + break lab2; + } + // ], line 123 + bra = cursor; + // call en_ending, line 123 + if (!r_en_ending()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 126 + v_5 = limit - cursor; + lab4: do { + // (, line 126 + // [, line 127 + ket = cursor; + // substring, line 127 + among_var = find_among_b(a_4, 6); + if (among_var == 0) + { + break lab4; + } + // ], line 127 + bra = cursor; + switch(among_var) { + case 0: + break lab4; + case 1: + // (, line 129 + // call R2, line 129 + if (!r_R2()) + { + break lab4; + } + // delete, line 129 + slice_del(); + // or, line 130 + lab5: do { + v_6 = limit - cursor; + lab6: do { + // (, line 130 + // [, line 130 + ket = cursor; + // literal, line 130 + if (!(eq_s_b(2, "ig"))) + { + break lab6; + } + // ], line 130 + bra = cursor; + // call R2, line 130 + if (!r_R2()) + { + break lab6; + } + // not, line 130 + { + v_7 = limit - cursor; + lab7: do { + // literal, line 130 + if (!(eq_s_b(1, "e"))) + { + break lab7; + } + break lab6; + } while (false); + cursor = limit - v_7; + } + // delete, line 130 + slice_del(); + break lab5; + } while (false); + cursor = limit - v_6; + // call undouble, line 130 + if (!r_undouble()) + { + break lab4; + } + } while (false); + break; + case 2: + // (, line 133 + // call R2, line 133 + if (!r_R2()) + { + break lab4; + } + // not, line 133 + { + v_8 = limit - cursor; + lab8: do { + // literal, line 133 + if (!(eq_s_b(1, "e"))) + { + break lab8; + } + break lab4; + } while (false); + cursor = limit - v_8; + } + // delete, line 133 + slice_del(); + break; + case 3: + // (, line 136 + // call R2, line 136 + if (!r_R2()) + { + break lab4; + } + // delete, line 136 + slice_del(); + // call e_ending, line 136 + if (!r_e_ending()) + { + break lab4; + } + break; + case 4: + // (, line 139 + // call R2, line 139 + if (!r_R2()) + { + break lab4; + } + // delete, line 139 + slice_del(); + break; + case 5: + // (, line 142 + // call R2, line 142 + if (!r_R2()) + { + break lab4; + } + // Boolean test e_found, line 142 + if (!(B_e_found)) + { + break lab4; + } + // delete, line 142 + slice_del(); + break; + } + } while (false); + cursor = limit - v_5; + // do, line 146 + v_9 = limit - cursor; + lab9: do { + // (, line 146 + if (!(out_grouping_b(g_v_I, 73, 232))) + { + break lab9; + } + // test, line 148 + v_10 = limit - cursor; + // (, line 148 + // among, line 149 + if (find_among_b(a_5, 4) == 0) + { + break lab9; + } + if (!(out_grouping_b(g_v, 97, 232))) + { + break lab9; + } + cursor = limit - v_10; + // [, line 152 + ket = cursor; + // next, line 152 + if (cursor <= limit_backward) + { + break lab9; + } + cursor--; + // ], line 152 + bra = cursor; + // delete, line 152 + slice_del(); + } while (false); + cursor = limit - v_9; + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 157 + // do, line 159 + v_1 = cursor; + lab0: do { + // call prelude, line 159 + if (!r_prelude()) + { + break lab0; + } + } while (false); + cursor = v_1; + // do, line 160 + v_2 = cursor; + lab1: do { + // call mark_regions, line 160 + if (!r_mark_regions()) + { + break lab1; + } + } while (false); + cursor = v_2; + // backwards, line 161 + limit_backward = cursor; cursor = limit; + // do, line 162 + v_3 = limit - cursor; + lab2: do { + // call standard_suffix, line 162 + if (!r_standard_suffix()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + cursor = limit_backward; // do, line 163 + v_4 = cursor; + lab3: do { + // call postlude, line 163 + if (!r_postlude()) + { + break lab3; + } + } while (false); + cursor = v_4; + return true; + } + + public boolean equals( Object o ) { + return o instanceof dutchStemmer; + } + + public int hashCode() { + return dutchStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/englishStemmer.java b/lib/org/tartarus/snowball/ext/englishStemmer.java new file mode 100644 index 00000000..0d8b6bf2 --- /dev/null +++ b/lib/org/tartarus/snowball/ext/englishStemmer.java @@ -0,0 +1,1330 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class englishStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static englishStemmer methodObject = new englishStemmer (); + + private final static Among a_0[] = { + new Among ( "arsen", -1, -1, "", methodObject ), + new Among ( "commun", -1, -1, "", methodObject ), + new Among ( "gener", -1, -1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "'", -1, 1, "", methodObject ), + new Among ( "'s'", 0, 1, "", methodObject ), + new Among ( "'s", -1, 1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ied", -1, 2, "", methodObject ), + new Among ( "s", -1, 3, "", methodObject ), + new Among ( "ies", 1, 2, "", methodObject ), + new Among ( "sses", 1, 1, "", methodObject ), + new Among ( "ss", 1, -1, "", methodObject ), + new Among ( "us", 1, -1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "", -1, 3, "", methodObject ), + new Among ( "bb", 0, 2, "", methodObject ), + new Among ( "dd", 0, 2, "", methodObject ), + new Among ( "ff", 0, 2, "", methodObject ), + new Among ( "gg", 0, 2, "", methodObject ), + new Among ( "bl", 0, 1, "", methodObject ), + new Among ( "mm", 0, 2, "", methodObject ), + new Among ( "nn", 0, 2, "", methodObject ), + new Among ( "pp", 0, 2, "", methodObject ), + new Among ( "rr", 0, 2, "", methodObject ), + new Among ( "at", 0, 1, "", methodObject ), + new Among ( "tt", 0, 2, "", methodObject ), + new Among ( "iz", 0, 1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "ed", -1, 2, "", methodObject ), + new Among ( "eed", 0, 1, "", methodObject ), + new Among ( "ing", -1, 2, "", methodObject ), + new Among ( "edly", -1, 2, "", methodObject ), + new Among ( "eedly", 3, 1, "", methodObject ), + new Among ( "ingly", -1, 2, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "anci", -1, 3, "", methodObject ), + new Among ( "enci", -1, 2, "", methodObject ), + new Among ( "ogi", -1, 13, "", methodObject ), + new Among ( "li", -1, 16, "", methodObject ), + new Among ( "bli", 3, 12, "", methodObject ), + new Among ( "abli", 4, 4, "", methodObject ), + new Among ( "alli", 3, 8, "", methodObject ), + new Among ( "fulli", 3, 14, "", methodObject ), + new Among ( "lessli", 3, 15, "", methodObject ), + new Among ( "ousli", 3, 10, "", methodObject ), + new Among ( "entli", 3, 5, "", methodObject ), + new Among ( "aliti", -1, 8, "", methodObject ), + new Among ( "biliti", -1, 12, "", methodObject ), + new Among ( "iviti", -1, 11, "", methodObject ), + new Among ( "tional", -1, 1, "", methodObject ), + new Among ( "ational", 14, 7, "", methodObject ), + new Among ( "alism", -1, 8, "", methodObject ), + new Among ( "ation", -1, 7, "", methodObject ), + new Among ( "ization", 17, 6, "", methodObject ), + new Among ( "izer", -1, 6, "", methodObject ), + new Among ( "ator", -1, 7, "", methodObject ), + new Among ( "iveness", -1, 11, "", methodObject ), + new Among ( "fulness", -1, 9, "", methodObject ), + new Among ( "ousness", -1, 10, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "icate", -1, 4, "", methodObject ), + new Among ( "ative", -1, 6, "", methodObject ), + new Among ( "alize", -1, 3, "", methodObject ), + new Among ( "iciti", -1, 4, "", methodObject ), + new Among ( "ical", -1, 4, "", methodObject ), + new Among ( "tional", -1, 1, "", methodObject ), + new Among ( "ational", 5, 2, "", methodObject ), + new Among ( "ful", -1, 5, "", methodObject ), + new Among ( "ness", -1, 5, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "ic", -1, 1, "", methodObject ), + new Among ( "ance", -1, 1, "", methodObject ), + new Among ( "ence", -1, 1, "", methodObject ), + new Among ( "able", -1, 1, "", methodObject ), + new Among ( "ible", -1, 1, "", methodObject ), + new Among ( "ate", -1, 1, "", methodObject ), + new Among ( "ive", -1, 1, "", methodObject ), + new Among ( "ize", -1, 1, "", methodObject ), + new Among ( "iti", -1, 1, "", methodObject ), + new Among ( "al", -1, 1, "", methodObject ), + new Among ( "ism", -1, 1, "", methodObject ), + new Among ( "ion", -1, 2, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "ous", -1, 1, "", methodObject ), + new Among ( "ant", -1, 1, "", methodObject ), + new Among ( "ent", -1, 1, "", methodObject ), + new Among ( "ment", 15, 1, "", methodObject ), + new Among ( "ement", 16, 1, "", methodObject ) + }; + + private final static Among a_8[] = { + new Among ( "e", -1, 1, "", methodObject ), + new Among ( "l", -1, 2, "", methodObject ) + }; + + private final static Among a_9[] = { + new Among ( "succeed", -1, -1, "", methodObject ), + new Among ( "proceed", -1, -1, "", methodObject ), + new Among ( "exceed", -1, -1, "", methodObject ), + new Among ( "canning", -1, -1, "", methodObject ), + new Among ( "inning", -1, -1, "", methodObject ), + new Among ( "earring", -1, -1, "", methodObject ), + new Among ( "herring", -1, -1, "", methodObject ), + new Among ( "outing", -1, -1, "", methodObject ) + }; + + private final static Among a_10[] = { + new Among ( "andes", -1, -1, "", methodObject ), + new Among ( "atlas", -1, -1, "", methodObject ), + new Among ( "bias", -1, -1, "", methodObject ), + new Among ( "cosmos", -1, -1, "", methodObject ), + new Among ( "dying", -1, 3, "", methodObject ), + new Among ( "early", -1, 9, "", methodObject ), + new Among ( "gently", -1, 7, "", methodObject ), + new Among ( "howe", -1, -1, "", methodObject ), + new Among ( "idly", -1, 6, "", methodObject ), + new Among ( "lying", -1, 4, "", methodObject ), + new Among ( "news", -1, -1, "", methodObject ), + new Among ( "only", -1, 10, "", methodObject ), + new Among ( "singly", -1, 11, "", methodObject ), + new Among ( "skies", -1, 2, "", methodObject ), + new Among ( "skis", -1, 1, "", methodObject ), + new Among ( "sky", -1, -1, "", methodObject ), + new Among ( "tying", -1, 5, "", methodObject ), + new Among ( "ugly", -1, 8, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1 }; + + private static final char g_v_WXY[] = {1, 17, 65, 208, 1 }; + + private static final char g_valid_LI[] = {55, 141, 2 }; + + private boolean B_Y_found; + private int I_p2; + private int I_p1; + + private void copy_from(englishStemmer other) { + B_Y_found = other.B_Y_found; + I_p2 = other.I_p2; + I_p1 = other.I_p1; + super.copy_from(other); + } + + private boolean r_prelude() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + // (, line 25 + // unset Y_found, line 26 + B_Y_found = false; + // do, line 27 + v_1 = cursor; + lab0: do { + // (, line 27 + // [, line 27 + bra = cursor; + // literal, line 27 + if (!(eq_s(1, "'"))) + { + break lab0; + } + // ], line 27 + ket = cursor; + // delete, line 27 + slice_del(); + } while (false); + cursor = v_1; + // do, line 28 + v_2 = cursor; + lab1: do { + // (, line 28 + // [, line 28 + bra = cursor; + // literal, line 28 + if (!(eq_s(1, "y"))) + { + break lab1; + } + // ], line 28 + ket = cursor; + // <-, line 28 + slice_from("Y"); + // set Y_found, line 28 + B_Y_found = true; + } while (false); + cursor = v_2; + // do, line 29 + v_3 = cursor; + lab2: do { + // repeat, line 29 + replab3: while(true) + { + v_4 = cursor; + lab4: do { + // (, line 29 + // goto, line 29 + golab5: while(true) + { + v_5 = cursor; + lab6: do { + // (, line 29 + if (!(in_grouping(g_v, 97, 121))) + { + break lab6; + } + // [, line 29 + bra = cursor; + // literal, line 29 + if (!(eq_s(1, "y"))) + { + break lab6; + } + // ], line 29 + ket = cursor; + cursor = v_5; + break golab5; + } while (false); + cursor = v_5; + if (cursor >= limit) + { + break lab4; + } + cursor++; + } + // <-, line 29 + slice_from("Y"); + // set Y_found, line 29 + B_Y_found = true; + continue replab3; + } while (false); + cursor = v_4; + break replab3; + } + } while (false); + cursor = v_3; + return true; + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + // (, line 32 + I_p1 = limit; + I_p2 = limit; + // do, line 35 + v_1 = cursor; + lab0: do { + // (, line 35 + // or, line 41 + lab1: do { + v_2 = cursor; + lab2: do { + // among, line 36 + if (find_among(a_0, 3) == 0) + { + break lab2; + } + break lab1; + } while (false); + cursor = v_2; + // (, line 41 + // gopast, line 41 + golab3: while(true) + { + lab4: do { + if (!(in_grouping(g_v, 97, 121))) + { + break lab4; + } + break golab3; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + // gopast, line 41 + golab5: while(true) + { + lab6: do { + if (!(out_grouping(g_v, 97, 121))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + } while (false); + // setmark p1, line 42 + I_p1 = cursor; + // gopast, line 43 + golab7: while(true) + { + lab8: do { + if (!(in_grouping(g_v, 97, 121))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + // gopast, line 43 + golab9: while(true) + { + lab10: do { + if (!(out_grouping(g_v, 97, 121))) + { + break lab10; + } + break golab9; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + // setmark p2, line 43 + I_p2 = cursor; + } while (false); + cursor = v_1; + return true; + } + + private boolean r_shortv() { + int v_1; + // (, line 49 + // or, line 51 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 50 + if (!(out_grouping_b(g_v_WXY, 89, 121))) + { + break lab1; + } + if (!(in_grouping_b(g_v, 97, 121))) + { + break lab1; + } + if (!(out_grouping_b(g_v, 97, 121))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 52 + if (!(out_grouping_b(g_v, 97, 121))) + { + return false; + } + if (!(in_grouping_b(g_v, 97, 121))) + { + return false; + } + // atlimit, line 52 + if (cursor > limit_backward) + { + return false; + } + } while (false); + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_Step_1a() { + int among_var; + int v_1; + int v_2; + // (, line 58 + // try, line 59 + v_1 = limit - cursor; + lab0: do { + // (, line 59 + // [, line 60 + ket = cursor; + // substring, line 60 + among_var = find_among_b(a_1, 3); + if (among_var == 0) + { + cursor = limit - v_1; + break lab0; + } + // ], line 60 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_1; + break lab0; + case 1: + // (, line 62 + // delete, line 62 + slice_del(); + break; + } + } while (false); + // [, line 65 + ket = cursor; + // substring, line 65 + among_var = find_among_b(a_2, 6); + if (among_var == 0) + { + return false; + } + // ], line 65 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 66 + // <-, line 66 + slice_from("ss"); + break; + case 2: + // (, line 68 + // or, line 68 + lab1: do { + v_2 = limit - cursor; + lab2: do { + // (, line 68 + // hop, line 68 + { + int c = cursor - 2; + if (limit_backward > c || c > limit) + { + break lab2; + } + cursor = c; + } + // <-, line 68 + slice_from("i"); + break lab1; + } while (false); + cursor = limit - v_2; + // <-, line 68 + slice_from("ie"); + } while (false); + break; + case 3: + // (, line 69 + // next, line 69 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // gopast, line 69 + golab3: while(true) + { + lab4: do { + if (!(in_grouping_b(g_v, 97, 121))) + { + break lab4; + } + break golab3; + } while (false); + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + // delete, line 69 + slice_del(); + break; + } + return true; + } + + private boolean r_Step_1b() { + int among_var; + int v_1; + int v_3; + int v_4; + // (, line 74 + // [, line 75 + ket = cursor; + // substring, line 75 + among_var = find_among_b(a_4, 6); + if (among_var == 0) + { + return false; + } + // ], line 75 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 77 + // call R1, line 77 + if (!r_R1()) + { + return false; + } + // <-, line 77 + slice_from("ee"); + break; + case 2: + // (, line 79 + // test, line 80 + v_1 = limit - cursor; + // gopast, line 80 + golab0: while(true) + { + lab1: do { + if (!(in_grouping_b(g_v, 97, 121))) + { + break lab1; + } + break golab0; + } while (false); + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + cursor = limit - v_1; + // delete, line 80 + slice_del(); + // test, line 81 + v_3 = limit - cursor; + // substring, line 81 + among_var = find_among_b(a_3, 13); + if (among_var == 0) + { + return false; + } + cursor = limit - v_3; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 83 + // <+, line 83 + { + int c = cursor; + insert(cursor, cursor, "e"); + cursor = c; + } + break; + case 2: + // (, line 86 + // [, line 86 + ket = cursor; + // next, line 86 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // ], line 86 + bra = cursor; + // delete, line 86 + slice_del(); + break; + case 3: + // (, line 87 + // atmark, line 87 + if (cursor != I_p1) + { + return false; + } + // test, line 87 + v_4 = limit - cursor; + // call shortv, line 87 + if (!r_shortv()) + { + return false; + } + cursor = limit - v_4; + // <+, line 87 + { + int c = cursor; + insert(cursor, cursor, "e"); + cursor = c; + } + break; + } + break; + } + return true; + } + + private boolean r_Step_1c() { + int v_1; + int v_2; + // (, line 93 + // [, line 94 + ket = cursor; + // or, line 94 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // literal, line 94 + if (!(eq_s_b(1, "y"))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // literal, line 94 + if (!(eq_s_b(1, "Y"))) + { + return false; + } + } while (false); + // ], line 94 + bra = cursor; + if (!(out_grouping_b(g_v, 97, 121))) + { + return false; + } + // not, line 95 + { + v_2 = limit - cursor; + lab2: do { + // atlimit, line 95 + if (cursor > limit_backward) + { + break lab2; + } + return false; + } while (false); + cursor = limit - v_2; + } + // <-, line 96 + slice_from("i"); + return true; + } + + private boolean r_Step_2() { + int among_var; + // (, line 99 + // [, line 100 + ket = cursor; + // substring, line 100 + among_var = find_among_b(a_5, 24); + if (among_var == 0) + { + return false; + } + // ], line 100 + bra = cursor; + // call R1, line 100 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 101 + // <-, line 101 + slice_from("tion"); + break; + case 2: + // (, line 102 + // <-, line 102 + slice_from("ence"); + break; + case 3: + // (, line 103 + // <-, line 103 + slice_from("ance"); + break; + case 4: + // (, line 104 + // <-, line 104 + slice_from("able"); + break; + case 5: + // (, line 105 + // <-, line 105 + slice_from("ent"); + break; + case 6: + // (, line 107 + // <-, line 107 + slice_from("ize"); + break; + case 7: + // (, line 109 + // <-, line 109 + slice_from("ate"); + break; + case 8: + // (, line 111 + // <-, line 111 + slice_from("al"); + break; + case 9: + // (, line 112 + // <-, line 112 + slice_from("ful"); + break; + case 10: + // (, line 114 + // <-, line 114 + slice_from("ous"); + break; + case 11: + // (, line 116 + // <-, line 116 + slice_from("ive"); + break; + case 12: + // (, line 118 + // <-, line 118 + slice_from("ble"); + break; + case 13: + // (, line 119 + // literal, line 119 + if (!(eq_s_b(1, "l"))) + { + return false; + } + // <-, line 119 + slice_from("og"); + break; + case 14: + // (, line 120 + // <-, line 120 + slice_from("ful"); + break; + case 15: + // (, line 121 + // <-, line 121 + slice_from("less"); + break; + case 16: + // (, line 122 + if (!(in_grouping_b(g_valid_LI, 99, 116))) + { + return false; + } + // delete, line 122 + slice_del(); + break; + } + return true; + } + + private boolean r_Step_3() { + int among_var; + // (, line 126 + // [, line 127 + ket = cursor; + // substring, line 127 + among_var = find_among_b(a_6, 9); + if (among_var == 0) + { + return false; + } + // ], line 127 + bra = cursor; + // call R1, line 127 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 128 + // <-, line 128 + slice_from("tion"); + break; + case 2: + // (, line 129 + // <-, line 129 + slice_from("ate"); + break; + case 3: + // (, line 130 + // <-, line 130 + slice_from("al"); + break; + case 4: + // (, line 132 + // <-, line 132 + slice_from("ic"); + break; + case 5: + // (, line 134 + // delete, line 134 + slice_del(); + break; + case 6: + // (, line 136 + // call R2, line 136 + if (!r_R2()) + { + return false; + } + // delete, line 136 + slice_del(); + break; + } + return true; + } + + private boolean r_Step_4() { + int among_var; + int v_1; + // (, line 140 + // [, line 141 + ket = cursor; + // substring, line 141 + among_var = find_among_b(a_7, 18); + if (among_var == 0) + { + return false; + } + // ], line 141 + bra = cursor; + // call R2, line 141 + if (!r_R2()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 144 + // delete, line 144 + slice_del(); + break; + case 2: + // (, line 145 + // or, line 145 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // literal, line 145 + if (!(eq_s_b(1, "s"))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // literal, line 145 + if (!(eq_s_b(1, "t"))) + { + return false; + } + } while (false); + // delete, line 145 + slice_del(); + break; + } + return true; + } + + private boolean r_Step_5() { + int among_var; + int v_1; + int v_2; + // (, line 149 + // [, line 150 + ket = cursor; + // substring, line 150 + among_var = find_among_b(a_8, 2); + if (among_var == 0) + { + return false; + } + // ], line 150 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 151 + // or, line 151 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // call R2, line 151 + if (!r_R2()) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 151 + // call R1, line 151 + if (!r_R1()) + { + return false; + } + // not, line 151 + { + v_2 = limit - cursor; + lab2: do { + // call shortv, line 151 + if (!r_shortv()) + { + break lab2; + } + return false; + } while (false); + cursor = limit - v_2; + } + } while (false); + // delete, line 151 + slice_del(); + break; + case 2: + // (, line 152 + // call R2, line 152 + if (!r_R2()) + { + return false; + } + // literal, line 152 + if (!(eq_s_b(1, "l"))) + { + return false; + } + // delete, line 152 + slice_del(); + break; + } + return true; + } + + private boolean r_exception2() { + // (, line 156 + // [, line 158 + ket = cursor; + // substring, line 158 + if (find_among_b(a_9, 8) == 0) + { + return false; + } + // ], line 158 + bra = cursor; + // atlimit, line 158 + if (cursor > limit_backward) + { + return false; + } + return true; + } + + private boolean r_exception1() { + int among_var; + // (, line 168 + // [, line 170 + bra = cursor; + // substring, line 170 + among_var = find_among(a_10, 18); + if (among_var == 0) + { + return false; + } + // ], line 170 + ket = cursor; + // atlimit, line 170 + if (cursor < limit) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 174 + // <-, line 174 + slice_from("ski"); + break; + case 2: + // (, line 175 + // <-, line 175 + slice_from("sky"); + break; + case 3: + // (, line 176 + // <-, line 176 + slice_from("die"); + break; + case 4: + // (, line 177 + // <-, line 177 + slice_from("lie"); + break; + case 5: + // (, line 178 + // <-, line 178 + slice_from("tie"); + break; + case 6: + // (, line 182 + // <-, line 182 + slice_from("idl"); + break; + case 7: + // (, line 183 + // <-, line 183 + slice_from("gentl"); + break; + case 8: + // (, line 184 + // <-, line 184 + slice_from("ugli"); + break; + case 9: + // (, line 185 + // <-, line 185 + slice_from("earli"); + break; + case 10: + // (, line 186 + // <-, line 186 + slice_from("onli"); + break; + case 11: + // (, line 187 + // <-, line 187 + slice_from("singl"); + break; + } + return true; + } + + private boolean r_postlude() { + int v_1; + int v_2; + // (, line 203 + // Boolean test Y_found, line 203 + if (!(B_Y_found)) + { + return false; + } + // repeat, line 203 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 203 + // goto, line 203 + golab2: while(true) + { + v_2 = cursor; + lab3: do { + // (, line 203 + // [, line 203 + bra = cursor; + // literal, line 203 + if (!(eq_s(1, "Y"))) + { + break lab3; + } + // ], line 203 + ket = cursor; + cursor = v_2; + break golab2; + } while (false); + cursor = v_2; + if (cursor >= limit) + { + break lab1; + } + cursor++; + } + // <-, line 203 + slice_from("y"); + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + int v_11; + int v_12; + int v_13; + // (, line 205 + // or, line 207 + lab0: do { + v_1 = cursor; + lab1: do { + // call exception1, line 207 + if (!r_exception1()) + { + break lab1; + } + break lab0; + } while (false); + cursor = v_1; + lab2: do { + // not, line 208 + { + v_2 = cursor; + lab3: do { + // hop, line 208 + { + int c = cursor + 3; + if (0 > c || c > limit) + { + break lab3; + } + cursor = c; + } + break lab2; + } while (false); + cursor = v_2; + } + break lab0; + } while (false); + cursor = v_1; + // (, line 208 + // do, line 209 + v_3 = cursor; + lab4: do { + // call prelude, line 209 + if (!r_prelude()) + { + break lab4; + } + } while (false); + cursor = v_3; + // do, line 210 + v_4 = cursor; + lab5: do { + // call mark_regions, line 210 + if (!r_mark_regions()) + { + break lab5; + } + } while (false); + cursor = v_4; + // backwards, line 211 + limit_backward = cursor; cursor = limit; + // (, line 211 + // do, line 213 + v_5 = limit - cursor; + lab6: do { + // call Step_1a, line 213 + if (!r_Step_1a()) + { + break lab6; + } + } while (false); + cursor = limit - v_5; + // or, line 215 + lab7: do { + v_6 = limit - cursor; + lab8: do { + // call exception2, line 215 + if (!r_exception2()) + { + break lab8; + } + break lab7; + } while (false); + cursor = limit - v_6; + // (, line 215 + // do, line 217 + v_7 = limit - cursor; + lab9: do { + // call Step_1b, line 217 + if (!r_Step_1b()) + { + break lab9; + } + } while (false); + cursor = limit - v_7; + // do, line 218 + v_8 = limit - cursor; + lab10: do { + // call Step_1c, line 218 + if (!r_Step_1c()) + { + break lab10; + } + } while (false); + cursor = limit - v_8; + // do, line 220 + v_9 = limit - cursor; + lab11: do { + // call Step_2, line 220 + if (!r_Step_2()) + { + break lab11; + } + } while (false); + cursor = limit - v_9; + // do, line 221 + v_10 = limit - cursor; + lab12: do { + // call Step_3, line 221 + if (!r_Step_3()) + { + break lab12; + } + } while (false); + cursor = limit - v_10; + // do, line 222 + v_11 = limit - cursor; + lab13: do { + // call Step_4, line 222 + if (!r_Step_4()) + { + break lab13; + } + } while (false); + cursor = limit - v_11; + // do, line 224 + v_12 = limit - cursor; + lab14: do { + // call Step_5, line 224 + if (!r_Step_5()) + { + break lab14; + } + } while (false); + cursor = limit - v_12; + } while (false); + cursor = limit_backward; // do, line 227 + v_13 = cursor; + lab15: do { + // call postlude, line 227 + if (!r_postlude()) + { + break lab15; + } + } while (false); + cursor = v_13; + } while (false); + return true; + } + + public boolean equals( Object o ) { + return o instanceof englishStemmer; + } + + public int hashCode() { + return englishStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/finnishStemmer.java b/lib/org/tartarus/snowball/ext/finnishStemmer.java new file mode 100644 index 00000000..1878d5ba --- /dev/null +++ b/lib/org/tartarus/snowball/ext/finnishStemmer.java @@ -0,0 +1,1050 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class finnishStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static finnishStemmer methodObject = new finnishStemmer (); + + private final static Among a_0[] = { + new Among ( "pa", -1, 1, "", methodObject ), + new Among ( "sti", -1, 2, "", methodObject ), + new Among ( "kaan", -1, 1, "", methodObject ), + new Among ( "han", -1, 1, "", methodObject ), + new Among ( "kin", -1, 1, "", methodObject ), + new Among ( "h\u00E4n", -1, 1, "", methodObject ), + new Among ( "k\u00E4\u00E4n", -1, 1, "", methodObject ), + new Among ( "ko", -1, 1, "", methodObject ), + new Among ( "p\u00E4", -1, 1, "", methodObject ), + new Among ( "k\u00F6", -1, 1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "lla", -1, -1, "", methodObject ), + new Among ( "na", -1, -1, "", methodObject ), + new Among ( "ssa", -1, -1, "", methodObject ), + new Among ( "ta", -1, -1, "", methodObject ), + new Among ( "lta", 3, -1, "", methodObject ), + new Among ( "sta", 3, -1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ll\u00E4", -1, -1, "", methodObject ), + new Among ( "n\u00E4", -1, -1, "", methodObject ), + new Among ( "ss\u00E4", -1, -1, "", methodObject ), + new Among ( "t\u00E4", -1, -1, "", methodObject ), + new Among ( "lt\u00E4", 3, -1, "", methodObject ), + new Among ( "st\u00E4", 3, -1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "lle", -1, -1, "", methodObject ), + new Among ( "ine", -1, -1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "nsa", -1, 3, "", methodObject ), + new Among ( "mme", -1, 3, "", methodObject ), + new Among ( "nne", -1, 3, "", methodObject ), + new Among ( "ni", -1, 2, "", methodObject ), + new Among ( "si", -1, 1, "", methodObject ), + new Among ( "an", -1, 4, "", methodObject ), + new Among ( "en", -1, 6, "", methodObject ), + new Among ( "\u00E4n", -1, 5, "", methodObject ), + new Among ( "ns\u00E4", -1, 3, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "aa", -1, -1, "", methodObject ), + new Among ( "ee", -1, -1, "", methodObject ), + new Among ( "ii", -1, -1, "", methodObject ), + new Among ( "oo", -1, -1, "", methodObject ), + new Among ( "uu", -1, -1, "", methodObject ), + new Among ( "\u00E4\u00E4", -1, -1, "", methodObject ), + new Among ( "\u00F6\u00F6", -1, -1, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "a", -1, 8, "", methodObject ), + new Among ( "lla", 0, -1, "", methodObject ), + new Among ( "na", 0, -1, "", methodObject ), + new Among ( "ssa", 0, -1, "", methodObject ), + new Among ( "ta", 0, -1, "", methodObject ), + new Among ( "lta", 4, -1, "", methodObject ), + new Among ( "sta", 4, -1, "", methodObject ), + new Among ( "tta", 4, 9, "", methodObject ), + new Among ( "lle", -1, -1, "", methodObject ), + new Among ( "ine", -1, -1, "", methodObject ), + new Among ( "ksi", -1, -1, "", methodObject ), + new Among ( "n", -1, 7, "", methodObject ), + new Among ( "han", 11, 1, "", methodObject ), + new Among ( "den", 11, -1, "r_VI", methodObject ), + new Among ( "seen", 11, -1, "r_LONG", methodObject ), + new Among ( "hen", 11, 2, "", methodObject ), + new Among ( "tten", 11, -1, "r_VI", methodObject ), + new Among ( "hin", 11, 3, "", methodObject ), + new Among ( "siin", 11, -1, "r_VI", methodObject ), + new Among ( "hon", 11, 4, "", methodObject ), + new Among ( "h\u00E4n", 11, 5, "", methodObject ), + new Among ( "h\u00F6n", 11, 6, "", methodObject ), + new Among ( "\u00E4", -1, 8, "", methodObject ), + new Among ( "ll\u00E4", 22, -1, "", methodObject ), + new Among ( "n\u00E4", 22, -1, "", methodObject ), + new Among ( "ss\u00E4", 22, -1, "", methodObject ), + new Among ( "t\u00E4", 22, -1, "", methodObject ), + new Among ( "lt\u00E4", 26, -1, "", methodObject ), + new Among ( "st\u00E4", 26, -1, "", methodObject ), + new Among ( "tt\u00E4", 26, 9, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "eja", -1, -1, "", methodObject ), + new Among ( "mma", -1, 1, "", methodObject ), + new Among ( "imma", 1, -1, "", methodObject ), + new Among ( "mpa", -1, 1, "", methodObject ), + new Among ( "impa", 3, -1, "", methodObject ), + new Among ( "mmi", -1, 1, "", methodObject ), + new Among ( "immi", 5, -1, "", methodObject ), + new Among ( "mpi", -1, 1, "", methodObject ), + new Among ( "impi", 7, -1, "", methodObject ), + new Among ( "ej\u00E4", -1, -1, "", methodObject ), + new Among ( "mm\u00E4", -1, 1, "", methodObject ), + new Among ( "imm\u00E4", 10, -1, "", methodObject ), + new Among ( "mp\u00E4", -1, 1, "", methodObject ), + new Among ( "imp\u00E4", 12, -1, "", methodObject ) + }; + + private final static Among a_8[] = { + new Among ( "i", -1, -1, "", methodObject ), + new Among ( "j", -1, -1, "", methodObject ) + }; + + private final static Among a_9[] = { + new Among ( "mma", -1, 1, "", methodObject ), + new Among ( "imma", 0, -1, "", methodObject ) + }; + + private static final char g_AEI[] = {17, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8 }; + + private static final char g_V1[] = {17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 32 }; + + private static final char g_V2[] = {17, 65, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 32 }; + + private static final char g_particle_end[] = {17, 97, 24, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 32 }; + + private boolean B_ending_removed; + private java.lang.StringBuilder S_x = new java.lang.StringBuilder(); + private int I_p2; + private int I_p1; + + private void copy_from(finnishStemmer other) { + B_ending_removed = other.B_ending_removed; + S_x = other.S_x; + I_p2 = other.I_p2; + I_p1 = other.I_p1; + super.copy_from(other); + } + + private boolean r_mark_regions() { + int v_1; + int v_3; + // (, line 41 + I_p1 = limit; + I_p2 = limit; + // goto, line 46 + golab0: while(true) + { + v_1 = cursor; + lab1: do { + if (!(in_grouping(g_V1, 97, 246))) + { + break lab1; + } + cursor = v_1; + break golab0; + } while (false); + cursor = v_1; + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 46 + golab2: while(true) + { + lab3: do { + if (!(out_grouping(g_V1, 97, 246))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p1, line 46 + I_p1 = cursor; + // goto, line 47 + golab4: while(true) + { + v_3 = cursor; + lab5: do { + if (!(in_grouping(g_V1, 97, 246))) + { + break lab5; + } + cursor = v_3; + break golab4; + } while (false); + cursor = v_3; + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 47 + golab6: while(true) + { + lab7: do { + if (!(out_grouping(g_V1, 97, 246))) + { + break lab7; + } + break golab6; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p2, line 47 + I_p2 = cursor; + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_particle_etc() { + int among_var; + int v_1; + int v_2; + // (, line 54 + // setlimit, line 55 + v_1 = limit - cursor; + // tomark, line 55 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 55 + // [, line 55 + ket = cursor; + // substring, line 55 + among_var = find_among_b(a_0, 10); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 55 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 62 + if (!(in_grouping_b(g_particle_end, 97, 246))) + { + return false; + } + break; + case 2: + // (, line 64 + // call R2, line 64 + if (!r_R2()) + { + return false; + } + break; + } + // delete, line 66 + slice_del(); + return true; + } + + private boolean r_possessive() { + int among_var; + int v_1; + int v_2; + int v_3; + // (, line 68 + // setlimit, line 69 + v_1 = limit - cursor; + // tomark, line 69 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 69 + // [, line 69 + ket = cursor; + // substring, line 69 + among_var = find_among_b(a_4, 9); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 69 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 72 + // not, line 72 + { + v_3 = limit - cursor; + lab0: do { + // literal, line 72 + if (!(eq_s_b(1, "k"))) + { + break lab0; + } + return false; + } while (false); + cursor = limit - v_3; + } + // delete, line 72 + slice_del(); + break; + case 2: + // (, line 74 + // delete, line 74 + slice_del(); + // [, line 74 + ket = cursor; + // literal, line 74 + if (!(eq_s_b(3, "kse"))) + { + return false; + } + // ], line 74 + bra = cursor; + // <-, line 74 + slice_from("ksi"); + break; + case 3: + // (, line 78 + // delete, line 78 + slice_del(); + break; + case 4: + // (, line 81 + // among, line 81 + if (find_among_b(a_1, 6) == 0) + { + return false; + } + // delete, line 81 + slice_del(); + break; + case 5: + // (, line 83 + // among, line 83 + if (find_among_b(a_2, 6) == 0) + { + return false; + } + // delete, line 84 + slice_del(); + break; + case 6: + // (, line 86 + // among, line 86 + if (find_among_b(a_3, 2) == 0) + { + return false; + } + // delete, line 86 + slice_del(); + break; + } + return true; + } + + private boolean r_LONG() { + // among, line 91 + if (find_among_b(a_5, 7) == 0) + { + return false; + } + return true; + } + + private boolean r_VI() { + // (, line 93 + // literal, line 93 + if (!(eq_s_b(1, "i"))) + { + return false; + } + if (!(in_grouping_b(g_V2, 97, 246))) + { + return false; + } + return true; + } + + private boolean r_case_ending() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + // (, line 95 + // setlimit, line 96 + v_1 = limit - cursor; + // tomark, line 96 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 96 + // [, line 96 + ket = cursor; + // substring, line 96 + among_var = find_among_b(a_6, 30); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 96 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 98 + // literal, line 98 + if (!(eq_s_b(1, "a"))) + { + return false; + } + break; + case 2: + // (, line 99 + // literal, line 99 + if (!(eq_s_b(1, "e"))) + { + return false; + } + break; + case 3: + // (, line 100 + // literal, line 100 + if (!(eq_s_b(1, "i"))) + { + return false; + } + break; + case 4: + // (, line 101 + // literal, line 101 + if (!(eq_s_b(1, "o"))) + { + return false; + } + break; + case 5: + // (, line 102 + // literal, line 102 + if (!(eq_s_b(1, "\u00E4"))) + { + return false; + } + break; + case 6: + // (, line 103 + // literal, line 103 + if (!(eq_s_b(1, "\u00F6"))) + { + return false; + } + break; + case 7: + // (, line 111 + // try, line 111 + v_3 = limit - cursor; + lab0: do { + // (, line 111 + // and, line 113 + v_4 = limit - cursor; + // or, line 112 + lab1: do { + v_5 = limit - cursor; + lab2: do { + // call LONG, line 111 + if (!r_LONG()) + { + break lab2; + } + break lab1; + } while (false); + cursor = limit - v_5; + // literal, line 112 + if (!(eq_s_b(2, "ie"))) + { + cursor = limit - v_3; + break lab0; + } + } while (false); + cursor = limit - v_4; + // next, line 113 + if (cursor <= limit_backward) + { + cursor = limit - v_3; + break lab0; + } + cursor--; + // ], line 113 + bra = cursor; + } while (false); + break; + case 8: + // (, line 119 + if (!(in_grouping_b(g_V1, 97, 246))) + { + return false; + } + if (!(out_grouping_b(g_V1, 97, 246))) + { + return false; + } + break; + case 9: + // (, line 121 + // literal, line 121 + if (!(eq_s_b(1, "e"))) + { + return false; + } + break; + } + // delete, line 138 + slice_del(); + // set ending_removed, line 139 + B_ending_removed = true; + return true; + } + + private boolean r_other_endings() { + int among_var; + int v_1; + int v_2; + int v_3; + // (, line 141 + // setlimit, line 142 + v_1 = limit - cursor; + // tomark, line 142 + if (cursor < I_p2) + { + return false; + } + cursor = I_p2; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 142 + // [, line 142 + ket = cursor; + // substring, line 142 + among_var = find_among_b(a_7, 14); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 142 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 146 + // not, line 146 + { + v_3 = limit - cursor; + lab0: do { + // literal, line 146 + if (!(eq_s_b(2, "po"))) + { + break lab0; + } + return false; + } while (false); + cursor = limit - v_3; + } + break; + } + // delete, line 151 + slice_del(); + return true; + } + + private boolean r_i_plural() { + int v_1; + int v_2; + // (, line 153 + // setlimit, line 154 + v_1 = limit - cursor; + // tomark, line 154 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 154 + // [, line 154 + ket = cursor; + // substring, line 154 + if (find_among_b(a_8, 2) == 0) + { + limit_backward = v_2; + return false; + } + // ], line 154 + bra = cursor; + limit_backward = v_2; + // delete, line 158 + slice_del(); + return true; + } + + private boolean r_t_plural() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + // (, line 160 + // setlimit, line 161 + v_1 = limit - cursor; + // tomark, line 161 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 161 + // [, line 162 + ket = cursor; + // literal, line 162 + if (!(eq_s_b(1, "t"))) + { + limit_backward = v_2; + return false; + } + // ], line 162 + bra = cursor; + // test, line 162 + v_3 = limit - cursor; + if (!(in_grouping_b(g_V1, 97, 246))) + { + limit_backward = v_2; + return false; + } + cursor = limit - v_3; + // delete, line 163 + slice_del(); + limit_backward = v_2; + // setlimit, line 165 + v_4 = limit - cursor; + // tomark, line 165 + if (cursor < I_p2) + { + return false; + } + cursor = I_p2; + v_5 = limit_backward; + limit_backward = cursor; + cursor = limit - v_4; + // (, line 165 + // [, line 165 + ket = cursor; + // substring, line 165 + among_var = find_among_b(a_9, 2); + if (among_var == 0) + { + limit_backward = v_5; + return false; + } + // ], line 165 + bra = cursor; + limit_backward = v_5; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 167 + // not, line 167 + { + v_6 = limit - cursor; + lab0: do { + // literal, line 167 + if (!(eq_s_b(2, "po"))) + { + break lab0; + } + return false; + } while (false); + cursor = limit - v_6; + } + break; + } + // delete, line 170 + slice_del(); + return true; + } + + private boolean r_tidy() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + // (, line 172 + // setlimit, line 173 + v_1 = limit - cursor; + // tomark, line 173 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 173 + // do, line 174 + v_3 = limit - cursor; + lab0: do { + // (, line 174 + // and, line 174 + v_4 = limit - cursor; + // call LONG, line 174 + if (!r_LONG()) + { + break lab0; + } + cursor = limit - v_4; + // (, line 174 + // [, line 174 + ket = cursor; + // next, line 174 + if (cursor <= limit_backward) + { + break lab0; + } + cursor--; + // ], line 174 + bra = cursor; + // delete, line 174 + slice_del(); + } while (false); + cursor = limit - v_3; + // do, line 175 + v_5 = limit - cursor; + lab1: do { + // (, line 175 + // [, line 175 + ket = cursor; + if (!(in_grouping_b(g_AEI, 97, 228))) + { + break lab1; + } + // ], line 175 + bra = cursor; + if (!(out_grouping_b(g_V1, 97, 246))) + { + break lab1; + } + // delete, line 175 + slice_del(); + } while (false); + cursor = limit - v_5; + // do, line 176 + v_6 = limit - cursor; + lab2: do { + // (, line 176 + // [, line 176 + ket = cursor; + // literal, line 176 + if (!(eq_s_b(1, "j"))) + { + break lab2; + } + // ], line 176 + bra = cursor; + // or, line 176 + lab3: do { + v_7 = limit - cursor; + lab4: do { + // literal, line 176 + if (!(eq_s_b(1, "o"))) + { + break lab4; + } + break lab3; + } while (false); + cursor = limit - v_7; + // literal, line 176 + if (!(eq_s_b(1, "u"))) + { + break lab2; + } + } while (false); + // delete, line 176 + slice_del(); + } while (false); + cursor = limit - v_6; + // do, line 177 + v_8 = limit - cursor; + lab5: do { + // (, line 177 + // [, line 177 + ket = cursor; + // literal, line 177 + if (!(eq_s_b(1, "o"))) + { + break lab5; + } + // ], line 177 + bra = cursor; + // literal, line 177 + if (!(eq_s_b(1, "j"))) + { + break lab5; + } + // delete, line 177 + slice_del(); + } while (false); + cursor = limit - v_8; + limit_backward = v_2; + // goto, line 179 + golab6: while(true) + { + v_9 = limit - cursor; + lab7: do { + if (!(out_grouping_b(g_V1, 97, 246))) + { + break lab7; + } + cursor = limit - v_9; + break golab6; + } while (false); + cursor = limit - v_9; + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + // [, line 179 + ket = cursor; + // next, line 179 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // ], line 179 + bra = cursor; + // -> x, line 179 + S_x = slice_to(S_x); + // name x, line 179 + if (!(eq_v_b(S_x))) + { + return false; + } + // delete, line 179 + slice_del(); + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + // (, line 183 + // do, line 185 + v_1 = cursor; + lab0: do { + // call mark_regions, line 185 + if (!r_mark_regions()) + { + break lab0; + } + } while (false); + cursor = v_1; + // unset ending_removed, line 186 + B_ending_removed = false; + // backwards, line 187 + limit_backward = cursor; cursor = limit; + // (, line 187 + // do, line 188 + v_2 = limit - cursor; + lab1: do { + // call particle_etc, line 188 + if (!r_particle_etc()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 189 + v_3 = limit - cursor; + lab2: do { + // call possessive, line 189 + if (!r_possessive()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 190 + v_4 = limit - cursor; + lab3: do { + // call case_ending, line 190 + if (!r_case_ending()) + { + break lab3; + } + } while (false); + cursor = limit - v_4; + // do, line 191 + v_5 = limit - cursor; + lab4: do { + // call other_endings, line 191 + if (!r_other_endings()) + { + break lab4; + } + } while (false); + cursor = limit - v_5; + // or, line 192 + lab5: do { + v_6 = limit - cursor; + lab6: do { + // (, line 192 + // Boolean test ending_removed, line 192 + if (!(B_ending_removed)) + { + break lab6; + } + // do, line 192 + v_7 = limit - cursor; + lab7: do { + // call i_plural, line 192 + if (!r_i_plural()) + { + break lab7; + } + } while (false); + cursor = limit - v_7; + break lab5; + } while (false); + cursor = limit - v_6; + // do, line 192 + v_8 = limit - cursor; + lab8: do { + // call t_plural, line 192 + if (!r_t_plural()) + { + break lab8; + } + } while (false); + cursor = limit - v_8; + } while (false); + // do, line 193 + v_9 = limit - cursor; + lab9: do { + // call tidy, line 193 + if (!r_tidy()) + { + break lab9; + } + } while (false); + cursor = limit - v_9; + cursor = limit_backward; return true; + } + + public boolean equals( Object o ) { + return o instanceof finnishStemmer; + } + + public int hashCode() { + return finnishStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/frenchStemmer.java b/lib/org/tartarus/snowball/ext/frenchStemmer.java new file mode 100644 index 00000000..790b723f --- /dev/null +++ b/lib/org/tartarus/snowball/ext/frenchStemmer.java @@ -0,0 +1,1517 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class frenchStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static frenchStemmer methodObject = new frenchStemmer (); + + private final static Among a_0[] = { + new Among ( "col", -1, -1, "", methodObject ), + new Among ( "par", -1, -1, "", methodObject ), + new Among ( "tap", -1, -1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "", -1, 4, "", methodObject ), + new Among ( "I", 0, 1, "", methodObject ), + new Among ( "U", 0, 2, "", methodObject ), + new Among ( "Y", 0, 3, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "iqU", -1, 3, "", methodObject ), + new Among ( "abl", -1, 3, "", methodObject ), + new Among ( "I\u00E8r", -1, 4, "", methodObject ), + new Among ( "i\u00E8r", -1, 4, "", methodObject ), + new Among ( "eus", -1, 2, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "ic", -1, 2, "", methodObject ), + new Among ( "abil", -1, 1, "", methodObject ), + new Among ( "iv", -1, 3, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "iqUe", -1, 1, "", methodObject ), + new Among ( "atrice", -1, 2, "", methodObject ), + new Among ( "ance", -1, 1, "", methodObject ), + new Among ( "ence", -1, 5, "", methodObject ), + new Among ( "logie", -1, 3, "", methodObject ), + new Among ( "able", -1, 1, "", methodObject ), + new Among ( "isme", -1, 1, "", methodObject ), + new Among ( "euse", -1, 11, "", methodObject ), + new Among ( "iste", -1, 1, "", methodObject ), + new Among ( "ive", -1, 8, "", methodObject ), + new Among ( "if", -1, 8, "", methodObject ), + new Among ( "usion", -1, 4, "", methodObject ), + new Among ( "ation", -1, 2, "", methodObject ), + new Among ( "ution", -1, 4, "", methodObject ), + new Among ( "ateur", -1, 2, "", methodObject ), + new Among ( "iqUes", -1, 1, "", methodObject ), + new Among ( "atrices", -1, 2, "", methodObject ), + new Among ( "ances", -1, 1, "", methodObject ), + new Among ( "ences", -1, 5, "", methodObject ), + new Among ( "logies", -1, 3, "", methodObject ), + new Among ( "ables", -1, 1, "", methodObject ), + new Among ( "ismes", -1, 1, "", methodObject ), + new Among ( "euses", -1, 11, "", methodObject ), + new Among ( "istes", -1, 1, "", methodObject ), + new Among ( "ives", -1, 8, "", methodObject ), + new Among ( "ifs", -1, 8, "", methodObject ), + new Among ( "usions", -1, 4, "", methodObject ), + new Among ( "ations", -1, 2, "", methodObject ), + new Among ( "utions", -1, 4, "", methodObject ), + new Among ( "ateurs", -1, 2, "", methodObject ), + new Among ( "ments", -1, 15, "", methodObject ), + new Among ( "ements", 30, 6, "", methodObject ), + new Among ( "issements", 31, 12, "", methodObject ), + new Among ( "it\u00E9s", -1, 7, "", methodObject ), + new Among ( "ment", -1, 15, "", methodObject ), + new Among ( "ement", 34, 6, "", methodObject ), + new Among ( "issement", 35, 12, "", methodObject ), + new Among ( "amment", 34, 13, "", methodObject ), + new Among ( "emment", 34, 14, "", methodObject ), + new Among ( "aux", -1, 10, "", methodObject ), + new Among ( "eaux", 39, 9, "", methodObject ), + new Among ( "eux", -1, 1, "", methodObject ), + new Among ( "it\u00E9", -1, 7, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "ira", -1, 1, "", methodObject ), + new Among ( "ie", -1, 1, "", methodObject ), + new Among ( "isse", -1, 1, "", methodObject ), + new Among ( "issante", -1, 1, "", methodObject ), + new Among ( "i", -1, 1, "", methodObject ), + new Among ( "irai", 4, 1, "", methodObject ), + new Among ( "ir", -1, 1, "", methodObject ), + new Among ( "iras", -1, 1, "", methodObject ), + new Among ( "ies", -1, 1, "", methodObject ), + new Among ( "\u00EEmes", -1, 1, "", methodObject ), + new Among ( "isses", -1, 1, "", methodObject ), + new Among ( "issantes", -1, 1, "", methodObject ), + new Among ( "\u00EEtes", -1, 1, "", methodObject ), + new Among ( "is", -1, 1, "", methodObject ), + new Among ( "irais", 13, 1, "", methodObject ), + new Among ( "issais", 13, 1, "", methodObject ), + new Among ( "irions", -1, 1, "", methodObject ), + new Among ( "issions", -1, 1, "", methodObject ), + new Among ( "irons", -1, 1, "", methodObject ), + new Among ( "issons", -1, 1, "", methodObject ), + new Among ( "issants", -1, 1, "", methodObject ), + new Among ( "it", -1, 1, "", methodObject ), + new Among ( "irait", 21, 1, "", methodObject ), + new Among ( "issait", 21, 1, "", methodObject ), + new Among ( "issant", -1, 1, "", methodObject ), + new Among ( "iraIent", -1, 1, "", methodObject ), + new Among ( "issaIent", -1, 1, "", methodObject ), + new Among ( "irent", -1, 1, "", methodObject ), + new Among ( "issent", -1, 1, "", methodObject ), + new Among ( "iront", -1, 1, "", methodObject ), + new Among ( "\u00EEt", -1, 1, "", methodObject ), + new Among ( "iriez", -1, 1, "", methodObject ), + new Among ( "issiez", -1, 1, "", methodObject ), + new Among ( "irez", -1, 1, "", methodObject ), + new Among ( "issez", -1, 1, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "a", -1, 3, "", methodObject ), + new Among ( "era", 0, 2, "", methodObject ), + new Among ( "asse", -1, 3, "", methodObject ), + new Among ( "ante", -1, 3, "", methodObject ), + new Among ( "\u00E9e", -1, 2, "", methodObject ), + new Among ( "ai", -1, 3, "", methodObject ), + new Among ( "erai", 5, 2, "", methodObject ), + new Among ( "er", -1, 2, "", methodObject ), + new Among ( "as", -1, 3, "", methodObject ), + new Among ( "eras", 8, 2, "", methodObject ), + new Among ( "\u00E2mes", -1, 3, "", methodObject ), + new Among ( "asses", -1, 3, "", methodObject ), + new Among ( "antes", -1, 3, "", methodObject ), + new Among ( "\u00E2tes", -1, 3, "", methodObject ), + new Among ( "\u00E9es", -1, 2, "", methodObject ), + new Among ( "ais", -1, 3, "", methodObject ), + new Among ( "erais", 15, 2, "", methodObject ), + new Among ( "ions", -1, 1, "", methodObject ), + new Among ( "erions", 17, 2, "", methodObject ), + new Among ( "assions", 17, 3, "", methodObject ), + new Among ( "erons", -1, 2, "", methodObject ), + new Among ( "ants", -1, 3, "", methodObject ), + new Among ( "\u00E9s", -1, 2, "", methodObject ), + new Among ( "ait", -1, 3, "", methodObject ), + new Among ( "erait", 23, 2, "", methodObject ), + new Among ( "ant", -1, 3, "", methodObject ), + new Among ( "aIent", -1, 3, "", methodObject ), + new Among ( "eraIent", 26, 2, "", methodObject ), + new Among ( "\u00E8rent", -1, 2, "", methodObject ), + new Among ( "assent", -1, 3, "", methodObject ), + new Among ( "eront", -1, 2, "", methodObject ), + new Among ( "\u00E2t", -1, 3, "", methodObject ), + new Among ( "ez", -1, 2, "", methodObject ), + new Among ( "iez", 32, 2, "", methodObject ), + new Among ( "eriez", 33, 2, "", methodObject ), + new Among ( "assiez", 33, 3, "", methodObject ), + new Among ( "erez", 32, 2, "", methodObject ), + new Among ( "\u00E9", -1, 2, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "e", -1, 3, "", methodObject ), + new Among ( "I\u00E8re", 0, 2, "", methodObject ), + new Among ( "i\u00E8re", 0, 2, "", methodObject ), + new Among ( "ion", -1, 1, "", methodObject ), + new Among ( "Ier", -1, 2, "", methodObject ), + new Among ( "ier", -1, 2, "", methodObject ), + new Among ( "\u00EB", -1, 4, "", methodObject ) + }; + + private final static Among a_8[] = { + new Among ( "ell", -1, -1, "", methodObject ), + new Among ( "eill", -1, -1, "", methodObject ), + new Among ( "enn", -1, -1, "", methodObject ), + new Among ( "onn", -1, -1, "", methodObject ), + new Among ( "ett", -1, -1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 130, 103, 8, 5 }; + + private static final char g_keep_with_s[] = {1, 65, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128 }; + + private int I_p2; + private int I_p1; + private int I_pV; + + private void copy_from(frenchStemmer other) { + I_p2 = other.I_p2; + I_p1 = other.I_p1; + I_pV = other.I_pV; + super.copy_from(other); + } + + private boolean r_prelude() { + int v_1; + int v_2; + int v_3; + int v_4; + // repeat, line 38 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // goto, line 38 + golab2: while(true) + { + v_2 = cursor; + lab3: do { + // (, line 38 + // or, line 44 + lab4: do { + v_3 = cursor; + lab5: do { + // (, line 40 + if (!(in_grouping(g_v, 97, 251))) + { + break lab5; + } + // [, line 40 + bra = cursor; + // or, line 40 + lab6: do { + v_4 = cursor; + lab7: do { + // (, line 40 + // literal, line 40 + if (!(eq_s(1, "u"))) + { + break lab7; + } + // ], line 40 + ket = cursor; + if (!(in_grouping(g_v, 97, 251))) + { + break lab7; + } + // <-, line 40 + slice_from("U"); + break lab6; + } while (false); + cursor = v_4; + lab8: do { + // (, line 41 + // literal, line 41 + if (!(eq_s(1, "i"))) + { + break lab8; + } + // ], line 41 + ket = cursor; + if (!(in_grouping(g_v, 97, 251))) + { + break lab8; + } + // <-, line 41 + slice_from("I"); + break lab6; + } while (false); + cursor = v_4; + // (, line 42 + // literal, line 42 + if (!(eq_s(1, "y"))) + { + break lab5; + } + // ], line 42 + ket = cursor; + // <-, line 42 + slice_from("Y"); + } while (false); + break lab4; + } while (false); + cursor = v_3; + lab9: do { + // (, line 45 + // [, line 45 + bra = cursor; + // literal, line 45 + if (!(eq_s(1, "y"))) + { + break lab9; + } + // ], line 45 + ket = cursor; + if (!(in_grouping(g_v, 97, 251))) + { + break lab9; + } + // <-, line 45 + slice_from("Y"); + break lab4; + } while (false); + cursor = v_3; + // (, line 47 + // literal, line 47 + if (!(eq_s(1, "q"))) + { + break lab3; + } + // [, line 47 + bra = cursor; + // literal, line 47 + if (!(eq_s(1, "u"))) + { + break lab3; + } + // ], line 47 + ket = cursor; + // <-, line 47 + slice_from("U"); + } while (false); + cursor = v_2; + break golab2; + } while (false); + cursor = v_2; + if (cursor >= limit) + { + break lab1; + } + cursor++; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + int v_4; + // (, line 50 + I_pV = limit; + I_p1 = limit; + I_p2 = limit; + // do, line 56 + v_1 = cursor; + lab0: do { + // (, line 56 + // or, line 58 + lab1: do { + v_2 = cursor; + lab2: do { + // (, line 57 + if (!(in_grouping(g_v, 97, 251))) + { + break lab2; + } + if (!(in_grouping(g_v, 97, 251))) + { + break lab2; + } + // next, line 57 + if (cursor >= limit) + { + break lab2; + } + cursor++; + break lab1; + } while (false); + cursor = v_2; + lab3: do { + // among, line 59 + if (find_among(a_0, 3) == 0) + { + break lab3; + } + break lab1; + } while (false); + cursor = v_2; + // (, line 66 + // next, line 66 + if (cursor >= limit) + { + break lab0; + } + cursor++; + // gopast, line 66 + golab4: while(true) + { + lab5: do { + if (!(in_grouping(g_v, 97, 251))) + { + break lab5; + } + break golab4; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + } while (false); + // setmark pV, line 67 + I_pV = cursor; + } while (false); + cursor = v_1; + // do, line 69 + v_4 = cursor; + lab6: do { + // (, line 69 + // gopast, line 70 + golab7: while(true) + { + lab8: do { + if (!(in_grouping(g_v, 97, 251))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // gopast, line 70 + golab9: while(true) + { + lab10: do { + if (!(out_grouping(g_v, 97, 251))) + { + break lab10; + } + break golab9; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // setmark p1, line 70 + I_p1 = cursor; + // gopast, line 71 + golab11: while(true) + { + lab12: do { + if (!(in_grouping(g_v, 97, 251))) + { + break lab12; + } + break golab11; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // gopast, line 71 + golab13: while(true) + { + lab14: do { + if (!(out_grouping(g_v, 97, 251))) + { + break lab14; + } + break golab13; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // setmark p2, line 71 + I_p2 = cursor; + } while (false); + cursor = v_4; + return true; + } + + private boolean r_postlude() { + int among_var; + int v_1; + // repeat, line 75 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 75 + // [, line 77 + bra = cursor; + // substring, line 77 + among_var = find_among(a_1, 4); + if (among_var == 0) + { + break lab1; + } + // ], line 77 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 78 + // <-, line 78 + slice_from("i"); + break; + case 2: + // (, line 79 + // <-, line 79 + slice_from("u"); + break; + case 3: + // (, line 80 + // <-, line 80 + slice_from("y"); + break; + case 4: + // (, line 81 + // next, line 81 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_RV() { + if (!(I_pV <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_standard_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + int v_11; + // (, line 91 + // [, line 92 + ket = cursor; + // substring, line 92 + among_var = find_among_b(a_4, 43); + if (among_var == 0) + { + return false; + } + // ], line 92 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 96 + // call R2, line 96 + if (!r_R2()) + { + return false; + } + // delete, line 96 + slice_del(); + break; + case 2: + // (, line 99 + // call R2, line 99 + if (!r_R2()) + { + return false; + } + // delete, line 99 + slice_del(); + // try, line 100 + v_1 = limit - cursor; + lab0: do { + // (, line 100 + // [, line 100 + ket = cursor; + // literal, line 100 + if (!(eq_s_b(2, "ic"))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 100 + bra = cursor; + // or, line 100 + lab1: do { + v_2 = limit - cursor; + lab2: do { + // (, line 100 + // call R2, line 100 + if (!r_R2()) + { + break lab2; + } + // delete, line 100 + slice_del(); + break lab1; + } while (false); + cursor = limit - v_2; + // <-, line 100 + slice_from("iqU"); + } while (false); + } while (false); + break; + case 3: + // (, line 104 + // call R2, line 104 + if (!r_R2()) + { + return false; + } + // <-, line 104 + slice_from("log"); + break; + case 4: + // (, line 107 + // call R2, line 107 + if (!r_R2()) + { + return false; + } + // <-, line 107 + slice_from("u"); + break; + case 5: + // (, line 110 + // call R2, line 110 + if (!r_R2()) + { + return false; + } + // <-, line 110 + slice_from("ent"); + break; + case 6: + // (, line 113 + // call RV, line 114 + if (!r_RV()) + { + return false; + } + // delete, line 114 + slice_del(); + // try, line 115 + v_3 = limit - cursor; + lab3: do { + // (, line 115 + // [, line 116 + ket = cursor; + // substring, line 116 + among_var = find_among_b(a_2, 6); + if (among_var == 0) + { + cursor = limit - v_3; + break lab3; + } + // ], line 116 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_3; + break lab3; + case 1: + // (, line 117 + // call R2, line 117 + if (!r_R2()) + { + cursor = limit - v_3; + break lab3; + } + // delete, line 117 + slice_del(); + // [, line 117 + ket = cursor; + // literal, line 117 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_3; + break lab3; + } + // ], line 117 + bra = cursor; + // call R2, line 117 + if (!r_R2()) + { + cursor = limit - v_3; + break lab3; + } + // delete, line 117 + slice_del(); + break; + case 2: + // (, line 118 + // or, line 118 + lab4: do { + v_4 = limit - cursor; + lab5: do { + // (, line 118 + // call R2, line 118 + if (!r_R2()) + { + break lab5; + } + // delete, line 118 + slice_del(); + break lab4; + } while (false); + cursor = limit - v_4; + // (, line 118 + // call R1, line 118 + if (!r_R1()) + { + cursor = limit - v_3; + break lab3; + } + // <-, line 118 + slice_from("eux"); + } while (false); + break; + case 3: + // (, line 120 + // call R2, line 120 + if (!r_R2()) + { + cursor = limit - v_3; + break lab3; + } + // delete, line 120 + slice_del(); + break; + case 4: + // (, line 122 + // call RV, line 122 + if (!r_RV()) + { + cursor = limit - v_3; + break lab3; + } + // <-, line 122 + slice_from("i"); + break; + } + } while (false); + break; + case 7: + // (, line 128 + // call R2, line 129 + if (!r_R2()) + { + return false; + } + // delete, line 129 + slice_del(); + // try, line 130 + v_5 = limit - cursor; + lab6: do { + // (, line 130 + // [, line 131 + ket = cursor; + // substring, line 131 + among_var = find_among_b(a_3, 3); + if (among_var == 0) + { + cursor = limit - v_5; + break lab6; + } + // ], line 131 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_5; + break lab6; + case 1: + // (, line 132 + // or, line 132 + lab7: do { + v_6 = limit - cursor; + lab8: do { + // (, line 132 + // call R2, line 132 + if (!r_R2()) + { + break lab8; + } + // delete, line 132 + slice_del(); + break lab7; + } while (false); + cursor = limit - v_6; + // <-, line 132 + slice_from("abl"); + } while (false); + break; + case 2: + // (, line 133 + // or, line 133 + lab9: do { + v_7 = limit - cursor; + lab10: do { + // (, line 133 + // call R2, line 133 + if (!r_R2()) + { + break lab10; + } + // delete, line 133 + slice_del(); + break lab9; + } while (false); + cursor = limit - v_7; + // <-, line 133 + slice_from("iqU"); + } while (false); + break; + case 3: + // (, line 134 + // call R2, line 134 + if (!r_R2()) + { + cursor = limit - v_5; + break lab6; + } + // delete, line 134 + slice_del(); + break; + } + } while (false); + break; + case 8: + // (, line 140 + // call R2, line 141 + if (!r_R2()) + { + return false; + } + // delete, line 141 + slice_del(); + // try, line 142 + v_8 = limit - cursor; + lab11: do { + // (, line 142 + // [, line 142 + ket = cursor; + // literal, line 142 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_8; + break lab11; + } + // ], line 142 + bra = cursor; + // call R2, line 142 + if (!r_R2()) + { + cursor = limit - v_8; + break lab11; + } + // delete, line 142 + slice_del(); + // [, line 142 + ket = cursor; + // literal, line 142 + if (!(eq_s_b(2, "ic"))) + { + cursor = limit - v_8; + break lab11; + } + // ], line 142 + bra = cursor; + // or, line 142 + lab12: do { + v_9 = limit - cursor; + lab13: do { + // (, line 142 + // call R2, line 142 + if (!r_R2()) + { + break lab13; + } + // delete, line 142 + slice_del(); + break lab12; + } while (false); + cursor = limit - v_9; + // <-, line 142 + slice_from("iqU"); + } while (false); + } while (false); + break; + case 9: + // (, line 144 + // <-, line 144 + slice_from("eau"); + break; + case 10: + // (, line 145 + // call R1, line 145 + if (!r_R1()) + { + return false; + } + // <-, line 145 + slice_from("al"); + break; + case 11: + // (, line 147 + // or, line 147 + lab14: do { + v_10 = limit - cursor; + lab15: do { + // (, line 147 + // call R2, line 147 + if (!r_R2()) + { + break lab15; + } + // delete, line 147 + slice_del(); + break lab14; + } while (false); + cursor = limit - v_10; + // (, line 147 + // call R1, line 147 + if (!r_R1()) + { + return false; + } + // <-, line 147 + slice_from("eux"); + } while (false); + break; + case 12: + // (, line 150 + // call R1, line 150 + if (!r_R1()) + { + return false; + } + if (!(out_grouping_b(g_v, 97, 251))) + { + return false; + } + // delete, line 150 + slice_del(); + break; + case 13: + // (, line 155 + // call RV, line 155 + if (!r_RV()) + { + return false; + } + // fail, line 155 + // (, line 155 + // <-, line 155 + slice_from("ant"); + return false; + case 14: + // (, line 156 + // call RV, line 156 + if (!r_RV()) + { + return false; + } + // fail, line 156 + // (, line 156 + // <-, line 156 + slice_from("ent"); + return false; + case 15: + // (, line 158 + // test, line 158 + v_11 = limit - cursor; + // (, line 158 + if (!(in_grouping_b(g_v, 97, 251))) + { + return false; + } + // call RV, line 158 + if (!r_RV()) + { + return false; + } + cursor = limit - v_11; + // fail, line 158 + // (, line 158 + // delete, line 158 + slice_del(); + return false; + } + return true; + } + + private boolean r_i_verb_suffix() { + int among_var; + int v_1; + int v_2; + // setlimit, line 163 + v_1 = limit - cursor; + // tomark, line 163 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 163 + // [, line 164 + ket = cursor; + // substring, line 164 + among_var = find_among_b(a_5, 35); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 164 + bra = cursor; + switch(among_var) { + case 0: + limit_backward = v_2; + return false; + case 1: + // (, line 170 + if (!(out_grouping_b(g_v, 97, 251))) + { + limit_backward = v_2; + return false; + } + // delete, line 170 + slice_del(); + break; + } + limit_backward = v_2; + return true; + } + + private boolean r_verb_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + // setlimit, line 174 + v_1 = limit - cursor; + // tomark, line 174 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 174 + // [, line 175 + ket = cursor; + // substring, line 175 + among_var = find_among_b(a_6, 38); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 175 + bra = cursor; + switch(among_var) { + case 0: + limit_backward = v_2; + return false; + case 1: + // (, line 177 + // call R2, line 177 + if (!r_R2()) + { + limit_backward = v_2; + return false; + } + // delete, line 177 + slice_del(); + break; + case 2: + // (, line 185 + // delete, line 185 + slice_del(); + break; + case 3: + // (, line 190 + // delete, line 190 + slice_del(); + // try, line 191 + v_3 = limit - cursor; + lab0: do { + // (, line 191 + // [, line 191 + ket = cursor; + // literal, line 191 + if (!(eq_s_b(1, "e"))) + { + cursor = limit - v_3; + break lab0; + } + // ], line 191 + bra = cursor; + // delete, line 191 + slice_del(); + } while (false); + break; + } + limit_backward = v_2; + return true; + } + + private boolean r_residual_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + // (, line 198 + // try, line 199 + v_1 = limit - cursor; + lab0: do { + // (, line 199 + // [, line 199 + ket = cursor; + // literal, line 199 + if (!(eq_s_b(1, "s"))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 199 + bra = cursor; + // test, line 199 + v_2 = limit - cursor; + if (!(out_grouping_b(g_keep_with_s, 97, 232))) + { + cursor = limit - v_1; + break lab0; + } + cursor = limit - v_2; + // delete, line 199 + slice_del(); + } while (false); + // setlimit, line 200 + v_3 = limit - cursor; + // tomark, line 200 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_4 = limit_backward; + limit_backward = cursor; + cursor = limit - v_3; + // (, line 200 + // [, line 201 + ket = cursor; + // substring, line 201 + among_var = find_among_b(a_7, 7); + if (among_var == 0) + { + limit_backward = v_4; + return false; + } + // ], line 201 + bra = cursor; + switch(among_var) { + case 0: + limit_backward = v_4; + return false; + case 1: + // (, line 202 + // call R2, line 202 + if (!r_R2()) + { + limit_backward = v_4; + return false; + } + // or, line 202 + lab1: do { + v_5 = limit - cursor; + lab2: do { + // literal, line 202 + if (!(eq_s_b(1, "s"))) + { + break lab2; + } + break lab1; + } while (false); + cursor = limit - v_5; + // literal, line 202 + if (!(eq_s_b(1, "t"))) + { + limit_backward = v_4; + return false; + } + } while (false); + // delete, line 202 + slice_del(); + break; + case 2: + // (, line 204 + // <-, line 204 + slice_from("i"); + break; + case 3: + // (, line 205 + // delete, line 205 + slice_del(); + break; + case 4: + // (, line 206 + // literal, line 206 + if (!(eq_s_b(2, "gu"))) + { + limit_backward = v_4; + return false; + } + // delete, line 206 + slice_del(); + break; + } + limit_backward = v_4; + return true; + } + + private boolean r_un_double() { + int v_1; + // (, line 211 + // test, line 212 + v_1 = limit - cursor; + // among, line 212 + if (find_among_b(a_8, 5) == 0) + { + return false; + } + cursor = limit - v_1; + // [, line 212 + ket = cursor; + // next, line 212 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // ], line 212 + bra = cursor; + // delete, line 212 + slice_del(); + return true; + } + + private boolean r_un_accent() { + int v_3; + // (, line 215 + // atleast, line 216 + { + int v_1 = 1; + // atleast, line 216 + replab0: while(true) + { + lab1: do { + if (!(out_grouping_b(g_v, 97, 251))) + { + break lab1; + } + v_1--; + continue replab0; + } while (false); + break replab0; + } + if (v_1 > 0) + { + return false; + } + } + // [, line 217 + ket = cursor; + // or, line 217 + lab2: do { + v_3 = limit - cursor; + lab3: do { + // literal, line 217 + if (!(eq_s_b(1, "\u00E9"))) + { + break lab3; + } + break lab2; + } while (false); + cursor = limit - v_3; + // literal, line 217 + if (!(eq_s_b(1, "\u00E8"))) + { + return false; + } + } while (false); + // ], line 217 + bra = cursor; + // <-, line 217 + slice_from("e"); + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + int v_11; + // (, line 221 + // do, line 223 + v_1 = cursor; + lab0: do { + // call prelude, line 223 + if (!r_prelude()) + { + break lab0; + } + } while (false); + cursor = v_1; + // do, line 224 + v_2 = cursor; + lab1: do { + // call mark_regions, line 224 + if (!r_mark_regions()) + { + break lab1; + } + } while (false); + cursor = v_2; + // backwards, line 225 + limit_backward = cursor; cursor = limit; + // (, line 225 + // do, line 227 + v_3 = limit - cursor; + lab2: do { + // (, line 227 + // or, line 237 + lab3: do { + v_4 = limit - cursor; + lab4: do { + // (, line 228 + // and, line 233 + v_5 = limit - cursor; + // (, line 229 + // or, line 229 + lab5: do { + v_6 = limit - cursor; + lab6: do { + // call standard_suffix, line 229 + if (!r_standard_suffix()) + { + break lab6; + } + break lab5; + } while (false); + cursor = limit - v_6; + lab7: do { + // call i_verb_suffix, line 230 + if (!r_i_verb_suffix()) + { + break lab7; + } + break lab5; + } while (false); + cursor = limit - v_6; + // call verb_suffix, line 231 + if (!r_verb_suffix()) + { + break lab4; + } + } while (false); + cursor = limit - v_5; + // try, line 234 + v_7 = limit - cursor; + lab8: do { + // (, line 234 + // [, line 234 + ket = cursor; + // or, line 234 + lab9: do { + v_8 = limit - cursor; + lab10: do { + // (, line 234 + // literal, line 234 + if (!(eq_s_b(1, "Y"))) + { + break lab10; + } + // ], line 234 + bra = cursor; + // <-, line 234 + slice_from("i"); + break lab9; + } while (false); + cursor = limit - v_8; + // (, line 235 + // literal, line 235 + if (!(eq_s_b(1, "\u00E7"))) + { + cursor = limit - v_7; + break lab8; + } + // ], line 235 + bra = cursor; + // <-, line 235 + slice_from("c"); + } while (false); + } while (false); + break lab3; + } while (false); + cursor = limit - v_4; + // call residual_suffix, line 238 + if (!r_residual_suffix()) + { + break lab2; + } + } while (false); + } while (false); + cursor = limit - v_3; + // do, line 243 + v_9 = limit - cursor; + lab11: do { + // call un_double, line 243 + if (!r_un_double()) + { + break lab11; + } + } while (false); + cursor = limit - v_9; + // do, line 244 + v_10 = limit - cursor; + lab12: do { + // call un_accent, line 244 + if (!r_un_accent()) + { + break lab12; + } + } while (false); + cursor = limit - v_10; + cursor = limit_backward; // do, line 246 + v_11 = cursor; + lab13: do { + // call postlude, line 246 + if (!r_postlude()) + { + break lab13; + } + } while (false); + cursor = v_11; + return true; + } + + public boolean equals( Object o ) { + return o instanceof frenchStemmer; + } + + public int hashCode() { + return frenchStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/germanStemmer.java b/lib/org/tartarus/snowball/ext/germanStemmer.java new file mode 100644 index 00000000..555ce1c9 --- /dev/null +++ b/lib/org/tartarus/snowball/ext/germanStemmer.java @@ -0,0 +1,733 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class germanStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static germanStemmer methodObject = new germanStemmer (); + + private final static Among a_0[] = { + new Among ( "", -1, 6, "", methodObject ), + new Among ( "U", 0, 2, "", methodObject ), + new Among ( "Y", 0, 1, "", methodObject ), + new Among ( "\u00E4", 0, 3, "", methodObject ), + new Among ( "\u00F6", 0, 4, "", methodObject ), + new Among ( "\u00FC", 0, 5, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "e", -1, 2, "", methodObject ), + new Among ( "em", -1, 1, "", methodObject ), + new Among ( "en", -1, 2, "", methodObject ), + new Among ( "ern", -1, 1, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "s", -1, 3, "", methodObject ), + new Among ( "es", 5, 2, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "en", -1, 1, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "st", -1, 2, "", methodObject ), + new Among ( "est", 2, 1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "ig", -1, 1, "", methodObject ), + new Among ( "lich", -1, 1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "end", -1, 1, "", methodObject ), + new Among ( "ig", -1, 2, "", methodObject ), + new Among ( "ung", -1, 1, "", methodObject ), + new Among ( "lich", -1, 3, "", methodObject ), + new Among ( "isch", -1, 2, "", methodObject ), + new Among ( "ik", -1, 2, "", methodObject ), + new Among ( "heit", -1, 3, "", methodObject ), + new Among ( "keit", -1, 4, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 32, 8 }; + + private static final char g_s_ending[] = {117, 30, 5 }; + + private static final char g_st_ending[] = {117, 30, 4 }; + + private int I_x; + private int I_p2; + private int I_p1; + + private void copy_from(germanStemmer other) { + I_x = other.I_x; + I_p2 = other.I_p2; + I_p1 = other.I_p1; + super.copy_from(other); + } + + private boolean r_prelude() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + // (, line 33 + // test, line 35 + v_1 = cursor; + // repeat, line 35 + replab0: while(true) + { + v_2 = cursor; + lab1: do { + // (, line 35 + // or, line 38 + lab2: do { + v_3 = cursor; + lab3: do { + // (, line 36 + // [, line 37 + bra = cursor; + // literal, line 37 + if (!(eq_s(1, "\u00DF"))) + { + break lab3; + } + // ], line 37 + ket = cursor; + // <-, line 37 + slice_from("ss"); + break lab2; + } while (false); + cursor = v_3; + // next, line 38 + if (cursor >= limit) + { + break lab1; + } + cursor++; + } while (false); + continue replab0; + } while (false); + cursor = v_2; + break replab0; + } + cursor = v_1; + // repeat, line 41 + replab4: while(true) + { + v_4 = cursor; + lab5: do { + // goto, line 41 + golab6: while(true) + { + v_5 = cursor; + lab7: do { + // (, line 41 + if (!(in_grouping(g_v, 97, 252))) + { + break lab7; + } + // [, line 42 + bra = cursor; + // or, line 42 + lab8: do { + v_6 = cursor; + lab9: do { + // (, line 42 + // literal, line 42 + if (!(eq_s(1, "u"))) + { + break lab9; + } + // ], line 42 + ket = cursor; + if (!(in_grouping(g_v, 97, 252))) + { + break lab9; + } + // <-, line 42 + slice_from("U"); + break lab8; + } while (false); + cursor = v_6; + // (, line 43 + // literal, line 43 + if (!(eq_s(1, "y"))) + { + break lab7; + } + // ], line 43 + ket = cursor; + if (!(in_grouping(g_v, 97, 252))) + { + break lab7; + } + // <-, line 43 + slice_from("Y"); + } while (false); + cursor = v_5; + break golab6; + } while (false); + cursor = v_5; + if (cursor >= limit) + { + break lab5; + } + cursor++; + } + continue replab4; + } while (false); + cursor = v_4; + break replab4; + } + return true; + } + + private boolean r_mark_regions() { + int v_1; + // (, line 47 + I_p1 = limit; + I_p2 = limit; + // test, line 52 + v_1 = cursor; + // (, line 52 + // hop, line 52 + { + int c = cursor + 3; + if (0 > c || c > limit) + { + return false; + } + cursor = c; + } + // setmark x, line 52 + I_x = cursor; + cursor = v_1; + // gopast, line 54 + golab0: while(true) + { + lab1: do { + if (!(in_grouping(g_v, 97, 252))) + { + break lab1; + } + break golab0; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 54 + golab2: while(true) + { + lab3: do { + if (!(out_grouping(g_v, 97, 252))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p1, line 54 + I_p1 = cursor; + // try, line 55 + lab4: do { + // (, line 55 + if (!(I_p1 < I_x)) + { + break lab4; + } + I_p1 = I_x; + } while (false); + // gopast, line 56 + golab5: while(true) + { + lab6: do { + if (!(in_grouping(g_v, 97, 252))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 56 + golab7: while(true) + { + lab8: do { + if (!(out_grouping(g_v, 97, 252))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p2, line 56 + I_p2 = cursor; + return true; + } + + private boolean r_postlude() { + int among_var; + int v_1; + // repeat, line 60 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 60 + // [, line 62 + bra = cursor; + // substring, line 62 + among_var = find_among(a_0, 6); + if (among_var == 0) + { + break lab1; + } + // ], line 62 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 63 + // <-, line 63 + slice_from("y"); + break; + case 2: + // (, line 64 + // <-, line 64 + slice_from("u"); + break; + case 3: + // (, line 65 + // <-, line 65 + slice_from("a"); + break; + case 4: + // (, line 66 + // <-, line 66 + slice_from("o"); + break; + case 5: + // (, line 67 + // <-, line 67 + slice_from("u"); + break; + case 6: + // (, line 68 + // next, line 68 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_standard_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + // (, line 78 + // do, line 79 + v_1 = limit - cursor; + lab0: do { + // (, line 79 + // [, line 80 + ket = cursor; + // substring, line 80 + among_var = find_among_b(a_1, 7); + if (among_var == 0) + { + break lab0; + } + // ], line 80 + bra = cursor; + // call R1, line 80 + if (!r_R1()) + { + break lab0; + } + switch(among_var) { + case 0: + break lab0; + case 1: + // (, line 82 + // delete, line 82 + slice_del(); + break; + case 2: + // (, line 85 + // delete, line 85 + slice_del(); + // try, line 86 + v_2 = limit - cursor; + lab1: do { + // (, line 86 + // [, line 86 + ket = cursor; + // literal, line 86 + if (!(eq_s_b(1, "s"))) + { + cursor = limit - v_2; + break lab1; + } + // ], line 86 + bra = cursor; + // literal, line 86 + if (!(eq_s_b(3, "nis"))) + { + cursor = limit - v_2; + break lab1; + } + // delete, line 86 + slice_del(); + } while (false); + break; + case 3: + // (, line 89 + if (!(in_grouping_b(g_s_ending, 98, 116))) + { + break lab0; + } + // delete, line 89 + slice_del(); + break; + } + } while (false); + cursor = limit - v_1; + // do, line 93 + v_3 = limit - cursor; + lab2: do { + // (, line 93 + // [, line 94 + ket = cursor; + // substring, line 94 + among_var = find_among_b(a_2, 4); + if (among_var == 0) + { + break lab2; + } + // ], line 94 + bra = cursor; + // call R1, line 94 + if (!r_R1()) + { + break lab2; + } + switch(among_var) { + case 0: + break lab2; + case 1: + // (, line 96 + // delete, line 96 + slice_del(); + break; + case 2: + // (, line 99 + if (!(in_grouping_b(g_st_ending, 98, 116))) + { + break lab2; + } + // hop, line 99 + { + int c = cursor - 3; + if (limit_backward > c || c > limit) + { + break lab2; + } + cursor = c; + } + // delete, line 99 + slice_del(); + break; + } + } while (false); + cursor = limit - v_3; + // do, line 103 + v_4 = limit - cursor; + lab3: do { + // (, line 103 + // [, line 104 + ket = cursor; + // substring, line 104 + among_var = find_among_b(a_4, 8); + if (among_var == 0) + { + break lab3; + } + // ], line 104 + bra = cursor; + // call R2, line 104 + if (!r_R2()) + { + break lab3; + } + switch(among_var) { + case 0: + break lab3; + case 1: + // (, line 106 + // delete, line 106 + slice_del(); + // try, line 107 + v_5 = limit - cursor; + lab4: do { + // (, line 107 + // [, line 107 + ket = cursor; + // literal, line 107 + if (!(eq_s_b(2, "ig"))) + { + cursor = limit - v_5; + break lab4; + } + // ], line 107 + bra = cursor; + // not, line 107 + { + v_6 = limit - cursor; + lab5: do { + // literal, line 107 + if (!(eq_s_b(1, "e"))) + { + break lab5; + } + cursor = limit - v_5; + break lab4; + } while (false); + cursor = limit - v_6; + } + // call R2, line 107 + if (!r_R2()) + { + cursor = limit - v_5; + break lab4; + } + // delete, line 107 + slice_del(); + } while (false); + break; + case 2: + // (, line 110 + // not, line 110 + { + v_7 = limit - cursor; + lab6: do { + // literal, line 110 + if (!(eq_s_b(1, "e"))) + { + break lab6; + } + break lab3; + } while (false); + cursor = limit - v_7; + } + // delete, line 110 + slice_del(); + break; + case 3: + // (, line 113 + // delete, line 113 + slice_del(); + // try, line 114 + v_8 = limit - cursor; + lab7: do { + // (, line 114 + // [, line 115 + ket = cursor; + // or, line 115 + lab8: do { + v_9 = limit - cursor; + lab9: do { + // literal, line 115 + if (!(eq_s_b(2, "er"))) + { + break lab9; + } + break lab8; + } while (false); + cursor = limit - v_9; + // literal, line 115 + if (!(eq_s_b(2, "en"))) + { + cursor = limit - v_8; + break lab7; + } + } while (false); + // ], line 115 + bra = cursor; + // call R1, line 115 + if (!r_R1()) + { + cursor = limit - v_8; + break lab7; + } + // delete, line 115 + slice_del(); + } while (false); + break; + case 4: + // (, line 119 + // delete, line 119 + slice_del(); + // try, line 120 + v_10 = limit - cursor; + lab10: do { + // (, line 120 + // [, line 121 + ket = cursor; + // substring, line 121 + among_var = find_among_b(a_3, 2); + if (among_var == 0) + { + cursor = limit - v_10; + break lab10; + } + // ], line 121 + bra = cursor; + // call R2, line 121 + if (!r_R2()) + { + cursor = limit - v_10; + break lab10; + } + switch(among_var) { + case 0: + cursor = limit - v_10; + break lab10; + case 1: + // (, line 123 + // delete, line 123 + slice_del(); + break; + } + } while (false); + break; + } + } while (false); + cursor = limit - v_4; + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 133 + // do, line 134 + v_1 = cursor; + lab0: do { + // call prelude, line 134 + if (!r_prelude()) + { + break lab0; + } + } while (false); + cursor = v_1; + // do, line 135 + v_2 = cursor; + lab1: do { + // call mark_regions, line 135 + if (!r_mark_regions()) + { + break lab1; + } + } while (false); + cursor = v_2; + // backwards, line 136 + limit_backward = cursor; cursor = limit; + // do, line 137 + v_3 = limit - cursor; + lab2: do { + // call standard_suffix, line 137 + if (!r_standard_suffix()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + cursor = limit_backward; // do, line 138 + v_4 = cursor; + lab3: do { + // call postlude, line 138 + if (!r_postlude()) + { + break lab3; + } + } while (false); + cursor = v_4; + return true; + } + + public boolean equals( Object o ) { + return o instanceof germanStemmer; + } + + public int hashCode() { + return germanStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/hungarianStemmer.java b/lib/org/tartarus/snowball/ext/hungarianStemmer.java new file mode 100644 index 00000000..80294ab5 --- /dev/null +++ b/lib/org/tartarus/snowball/ext/hungarianStemmer.java @@ -0,0 +1,1174 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class hungarianStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static hungarianStemmer methodObject = new hungarianStemmer (); + + private final static Among a_0[] = { + new Among ( "cs", -1, -1, "", methodObject ), + new Among ( "dzs", -1, -1, "", methodObject ), + new Among ( "gy", -1, -1, "", methodObject ), + new Among ( "ly", -1, -1, "", methodObject ), + new Among ( "ny", -1, -1, "", methodObject ), + new Among ( "sz", -1, -1, "", methodObject ), + new Among ( "ty", -1, -1, "", methodObject ), + new Among ( "zs", -1, -1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "\u00E1", -1, 1, "", methodObject ), + new Among ( "\u00E9", -1, 2, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "bb", -1, -1, "", methodObject ), + new Among ( "cc", -1, -1, "", methodObject ), + new Among ( "dd", -1, -1, "", methodObject ), + new Among ( "ff", -1, -1, "", methodObject ), + new Among ( "gg", -1, -1, "", methodObject ), + new Among ( "jj", -1, -1, "", methodObject ), + new Among ( "kk", -1, -1, "", methodObject ), + new Among ( "ll", -1, -1, "", methodObject ), + new Among ( "mm", -1, -1, "", methodObject ), + new Among ( "nn", -1, -1, "", methodObject ), + new Among ( "pp", -1, -1, "", methodObject ), + new Among ( "rr", -1, -1, "", methodObject ), + new Among ( "ccs", -1, -1, "", methodObject ), + new Among ( "ss", -1, -1, "", methodObject ), + new Among ( "zzs", -1, -1, "", methodObject ), + new Among ( "tt", -1, -1, "", methodObject ), + new Among ( "vv", -1, -1, "", methodObject ), + new Among ( "ggy", -1, -1, "", methodObject ), + new Among ( "lly", -1, -1, "", methodObject ), + new Among ( "nny", -1, -1, "", methodObject ), + new Among ( "tty", -1, -1, "", methodObject ), + new Among ( "ssz", -1, -1, "", methodObject ), + new Among ( "zz", -1, -1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "al", -1, 1, "", methodObject ), + new Among ( "el", -1, 2, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "ba", -1, -1, "", methodObject ), + new Among ( "ra", -1, -1, "", methodObject ), + new Among ( "be", -1, -1, "", methodObject ), + new Among ( "re", -1, -1, "", methodObject ), + new Among ( "ig", -1, -1, "", methodObject ), + new Among ( "nak", -1, -1, "", methodObject ), + new Among ( "nek", -1, -1, "", methodObject ), + new Among ( "val", -1, -1, "", methodObject ), + new Among ( "vel", -1, -1, "", methodObject ), + new Among ( "ul", -1, -1, "", methodObject ), + new Among ( "n\u00E1l", -1, -1, "", methodObject ), + new Among ( "n\u00E9l", -1, -1, "", methodObject ), + new Among ( "b\u00F3l", -1, -1, "", methodObject ), + new Among ( "r\u00F3l", -1, -1, "", methodObject ), + new Among ( "t\u00F3l", -1, -1, "", methodObject ), + new Among ( "b\u00F5l", -1, -1, "", methodObject ), + new Among ( "r\u00F5l", -1, -1, "", methodObject ), + new Among ( "t\u00F5l", -1, -1, "", methodObject ), + new Among ( "\u00FCl", -1, -1, "", methodObject ), + new Among ( "n", -1, -1, "", methodObject ), + new Among ( "an", 19, -1, "", methodObject ), + new Among ( "ban", 20, -1, "", methodObject ), + new Among ( "en", 19, -1, "", methodObject ), + new Among ( "ben", 22, -1, "", methodObject ), + new Among ( "k\u00E9ppen", 22, -1, "", methodObject ), + new Among ( "on", 19, -1, "", methodObject ), + new Among ( "\u00F6n", 19, -1, "", methodObject ), + new Among ( "k\u00E9pp", -1, -1, "", methodObject ), + new Among ( "kor", -1, -1, "", methodObject ), + new Among ( "t", -1, -1, "", methodObject ), + new Among ( "at", 29, -1, "", methodObject ), + new Among ( "et", 29, -1, "", methodObject ), + new Among ( "k\u00E9nt", 29, -1, "", methodObject ), + new Among ( "ank\u00E9nt", 32, -1, "", methodObject ), + new Among ( "enk\u00E9nt", 32, -1, "", methodObject ), + new Among ( "onk\u00E9nt", 32, -1, "", methodObject ), + new Among ( "ot", 29, -1, "", methodObject ), + new Among ( "\u00E9rt", 29, -1, "", methodObject ), + new Among ( "\u00F6t", 29, -1, "", methodObject ), + new Among ( "hez", -1, -1, "", methodObject ), + new Among ( "hoz", -1, -1, "", methodObject ), + new Among ( "h\u00F6z", -1, -1, "", methodObject ), + new Among ( "v\u00E1", -1, -1, "", methodObject ), + new Among ( "v\u00E9", -1, -1, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "\u00E1n", -1, 2, "", methodObject ), + new Among ( "\u00E9n", -1, 1, "", methodObject ), + new Among ( "\u00E1nk\u00E9nt", -1, 3, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "stul", -1, 2, "", methodObject ), + new Among ( "astul", 0, 1, "", methodObject ), + new Among ( "\u00E1stul", 0, 3, "", methodObject ), + new Among ( "st\u00FCl", -1, 2, "", methodObject ), + new Among ( "est\u00FCl", 3, 1, "", methodObject ), + new Among ( "\u00E9st\u00FCl", 3, 4, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "\u00E1", -1, 1, "", methodObject ), + new Among ( "\u00E9", -1, 2, "", methodObject ) + }; + + private final static Among a_8[] = { + new Among ( "k", -1, 7, "", methodObject ), + new Among ( "ak", 0, 4, "", methodObject ), + new Among ( "ek", 0, 6, "", methodObject ), + new Among ( "ok", 0, 5, "", methodObject ), + new Among ( "\u00E1k", 0, 1, "", methodObject ), + new Among ( "\u00E9k", 0, 2, "", methodObject ), + new Among ( "\u00F6k", 0, 3, "", methodObject ) + }; + + private final static Among a_9[] = { + new Among ( "\u00E9i", -1, 7, "", methodObject ), + new Among ( "\u00E1\u00E9i", 0, 6, "", methodObject ), + new Among ( "\u00E9\u00E9i", 0, 5, "", methodObject ), + new Among ( "\u00E9", -1, 9, "", methodObject ), + new Among ( "k\u00E9", 3, 4, "", methodObject ), + new Among ( "ak\u00E9", 4, 1, "", methodObject ), + new Among ( "ek\u00E9", 4, 1, "", methodObject ), + new Among ( "ok\u00E9", 4, 1, "", methodObject ), + new Among ( "\u00E1k\u00E9", 4, 3, "", methodObject ), + new Among ( "\u00E9k\u00E9", 4, 2, "", methodObject ), + new Among ( "\u00F6k\u00E9", 4, 1, "", methodObject ), + new Among ( "\u00E9\u00E9", 3, 8, "", methodObject ) + }; + + private final static Among a_10[] = { + new Among ( "a", -1, 18, "", methodObject ), + new Among ( "ja", 0, 17, "", methodObject ), + new Among ( "d", -1, 16, "", methodObject ), + new Among ( "ad", 2, 13, "", methodObject ), + new Among ( "ed", 2, 13, "", methodObject ), + new Among ( "od", 2, 13, "", methodObject ), + new Among ( "\u00E1d", 2, 14, "", methodObject ), + new Among ( "\u00E9d", 2, 15, "", methodObject ), + new Among ( "\u00F6d", 2, 13, "", methodObject ), + new Among ( "e", -1, 18, "", methodObject ), + new Among ( "je", 9, 17, "", methodObject ), + new Among ( "nk", -1, 4, "", methodObject ), + new Among ( "unk", 11, 1, "", methodObject ), + new Among ( "\u00E1nk", 11, 2, "", methodObject ), + new Among ( "\u00E9nk", 11, 3, "", methodObject ), + new Among ( "\u00FCnk", 11, 1, "", methodObject ), + new Among ( "uk", -1, 8, "", methodObject ), + new Among ( "juk", 16, 7, "", methodObject ), + new Among ( "\u00E1juk", 17, 5, "", methodObject ), + new Among ( "\u00FCk", -1, 8, "", methodObject ), + new Among ( "j\u00FCk", 19, 7, "", methodObject ), + new Among ( "\u00E9j\u00FCk", 20, 6, "", methodObject ), + new Among ( "m", -1, 12, "", methodObject ), + new Among ( "am", 22, 9, "", methodObject ), + new Among ( "em", 22, 9, "", methodObject ), + new Among ( "om", 22, 9, "", methodObject ), + new Among ( "\u00E1m", 22, 10, "", methodObject ), + new Among ( "\u00E9m", 22, 11, "", methodObject ), + new Among ( "o", -1, 18, "", methodObject ), + new Among ( "\u00E1", -1, 19, "", methodObject ), + new Among ( "\u00E9", -1, 20, "", methodObject ) + }; + + private final static Among a_11[] = { + new Among ( "id", -1, 10, "", methodObject ), + new Among ( "aid", 0, 9, "", methodObject ), + new Among ( "jaid", 1, 6, "", methodObject ), + new Among ( "eid", 0, 9, "", methodObject ), + new Among ( "jeid", 3, 6, "", methodObject ), + new Among ( "\u00E1id", 0, 7, "", methodObject ), + new Among ( "\u00E9id", 0, 8, "", methodObject ), + new Among ( "i", -1, 15, "", methodObject ), + new Among ( "ai", 7, 14, "", methodObject ), + new Among ( "jai", 8, 11, "", methodObject ), + new Among ( "ei", 7, 14, "", methodObject ), + new Among ( "jei", 10, 11, "", methodObject ), + new Among ( "\u00E1i", 7, 12, "", methodObject ), + new Among ( "\u00E9i", 7, 13, "", methodObject ), + new Among ( "itek", -1, 24, "", methodObject ), + new Among ( "eitek", 14, 21, "", methodObject ), + new Among ( "jeitek", 15, 20, "", methodObject ), + new Among ( "\u00E9itek", 14, 23, "", methodObject ), + new Among ( "ik", -1, 29, "", methodObject ), + new Among ( "aik", 18, 26, "", methodObject ), + new Among ( "jaik", 19, 25, "", methodObject ), + new Among ( "eik", 18, 26, "", methodObject ), + new Among ( "jeik", 21, 25, "", methodObject ), + new Among ( "\u00E1ik", 18, 27, "", methodObject ), + new Among ( "\u00E9ik", 18, 28, "", methodObject ), + new Among ( "ink", -1, 20, "", methodObject ), + new Among ( "aink", 25, 17, "", methodObject ), + new Among ( "jaink", 26, 16, "", methodObject ), + new Among ( "eink", 25, 17, "", methodObject ), + new Among ( "jeink", 28, 16, "", methodObject ), + new Among ( "\u00E1ink", 25, 18, "", methodObject ), + new Among ( "\u00E9ink", 25, 19, "", methodObject ), + new Among ( "aitok", -1, 21, "", methodObject ), + new Among ( "jaitok", 32, 20, "", methodObject ), + new Among ( "\u00E1itok", -1, 22, "", methodObject ), + new Among ( "im", -1, 5, "", methodObject ), + new Among ( "aim", 35, 4, "", methodObject ), + new Among ( "jaim", 36, 1, "", methodObject ), + new Among ( "eim", 35, 4, "", methodObject ), + new Among ( "jeim", 38, 1, "", methodObject ), + new Among ( "\u00E1im", 35, 2, "", methodObject ), + new Among ( "\u00E9im", 35, 3, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 17, 52, 14 }; + + private int I_p1; + + private void copy_from(hungarianStemmer other) { + I_p1 = other.I_p1; + super.copy_from(other); + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + int v_3; + // (, line 44 + I_p1 = limit; + // or, line 51 + lab0: do { + v_1 = cursor; + lab1: do { + // (, line 48 + if (!(in_grouping(g_v, 97, 252))) + { + break lab1; + } + // goto, line 48 + golab2: while(true) + { + v_2 = cursor; + lab3: do { + if (!(out_grouping(g_v, 97, 252))) + { + break lab3; + } + cursor = v_2; + break golab2; + } while (false); + cursor = v_2; + if (cursor >= limit) + { + break lab1; + } + cursor++; + } + // or, line 49 + lab4: do { + v_3 = cursor; + lab5: do { + // among, line 49 + if (find_among(a_0, 8) == 0) + { + break lab5; + } + break lab4; + } while (false); + cursor = v_3; + // next, line 49 + if (cursor >= limit) + { + break lab1; + } + cursor++; + } while (false); + // setmark p1, line 50 + I_p1 = cursor; + break lab0; + } while (false); + cursor = v_1; + // (, line 53 + if (!(out_grouping(g_v, 97, 252))) + { + return false; + } + // gopast, line 53 + golab6: while(true) + { + lab7: do { + if (!(in_grouping(g_v, 97, 252))) + { + break lab7; + } + break golab6; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p1, line 53 + I_p1 = cursor; + } while (false); + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_v_ending() { + int among_var; + // (, line 60 + // [, line 61 + ket = cursor; + // substring, line 61 + among_var = find_among_b(a_1, 2); + if (among_var == 0) + { + return false; + } + // ], line 61 + bra = cursor; + // call R1, line 61 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 62 + // <-, line 62 + slice_from("a"); + break; + case 2: + // (, line 63 + // <-, line 63 + slice_from("e"); + break; + } + return true; + } + + private boolean r_double() { + int v_1; + // (, line 67 + // test, line 68 + v_1 = limit - cursor; + // among, line 68 + if (find_among_b(a_2, 23) == 0) + { + return false; + } + cursor = limit - v_1; + return true; + } + + private boolean r_undouble() { + // (, line 72 + // next, line 73 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // [, line 73 + ket = cursor; + // hop, line 73 + { + int c = cursor - 1; + if (limit_backward > c || c > limit) + { + return false; + } + cursor = c; + } + // ], line 73 + bra = cursor; + // delete, line 73 + slice_del(); + return true; + } + + private boolean r_instrum() { + int among_var; + // (, line 76 + // [, line 77 + ket = cursor; + // substring, line 77 + among_var = find_among_b(a_3, 2); + if (among_var == 0) + { + return false; + } + // ], line 77 + bra = cursor; + // call R1, line 77 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 78 + // call double, line 78 + if (!r_double()) + { + return false; + } + break; + case 2: + // (, line 79 + // call double, line 79 + if (!r_double()) + { + return false; + } + break; + } + // delete, line 81 + slice_del(); + // call undouble, line 82 + if (!r_undouble()) + { + return false; + } + return true; + } + + private boolean r_case() { + // (, line 86 + // [, line 87 + ket = cursor; + // substring, line 87 + if (find_among_b(a_4, 44) == 0) + { + return false; + } + // ], line 87 + bra = cursor; + // call R1, line 87 + if (!r_R1()) + { + return false; + } + // delete, line 111 + slice_del(); + // call v_ending, line 112 + if (!r_v_ending()) + { + return false; + } + return true; + } + + private boolean r_case_special() { + int among_var; + // (, line 115 + // [, line 116 + ket = cursor; + // substring, line 116 + among_var = find_among_b(a_5, 3); + if (among_var == 0) + { + return false; + } + // ], line 116 + bra = cursor; + // call R1, line 116 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 117 + // <-, line 117 + slice_from("e"); + break; + case 2: + // (, line 118 + // <-, line 118 + slice_from("a"); + break; + case 3: + // (, line 119 + // <-, line 119 + slice_from("a"); + break; + } + return true; + } + + private boolean r_case_other() { + int among_var; + // (, line 123 + // [, line 124 + ket = cursor; + // substring, line 124 + among_var = find_among_b(a_6, 6); + if (among_var == 0) + { + return false; + } + // ], line 124 + bra = cursor; + // call R1, line 124 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 125 + // delete, line 125 + slice_del(); + break; + case 2: + // (, line 126 + // delete, line 126 + slice_del(); + break; + case 3: + // (, line 127 + // <-, line 127 + slice_from("a"); + break; + case 4: + // (, line 128 + // <-, line 128 + slice_from("e"); + break; + } + return true; + } + + private boolean r_factive() { + int among_var; + // (, line 132 + // [, line 133 + ket = cursor; + // substring, line 133 + among_var = find_among_b(a_7, 2); + if (among_var == 0) + { + return false; + } + // ], line 133 + bra = cursor; + // call R1, line 133 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 134 + // call double, line 134 + if (!r_double()) + { + return false; + } + break; + case 2: + // (, line 135 + // call double, line 135 + if (!r_double()) + { + return false; + } + break; + } + // delete, line 137 + slice_del(); + // call undouble, line 138 + if (!r_undouble()) + { + return false; + } + return true; + } + + private boolean r_plural() { + int among_var; + // (, line 141 + // [, line 142 + ket = cursor; + // substring, line 142 + among_var = find_among_b(a_8, 7); + if (among_var == 0) + { + return false; + } + // ], line 142 + bra = cursor; + // call R1, line 142 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 143 + // <-, line 143 + slice_from("a"); + break; + case 2: + // (, line 144 + // <-, line 144 + slice_from("e"); + break; + case 3: + // (, line 145 + // delete, line 145 + slice_del(); + break; + case 4: + // (, line 146 + // delete, line 146 + slice_del(); + break; + case 5: + // (, line 147 + // delete, line 147 + slice_del(); + break; + case 6: + // (, line 148 + // delete, line 148 + slice_del(); + break; + case 7: + // (, line 149 + // delete, line 149 + slice_del(); + break; + } + return true; + } + + private boolean r_owned() { + int among_var; + // (, line 153 + // [, line 154 + ket = cursor; + // substring, line 154 + among_var = find_among_b(a_9, 12); + if (among_var == 0) + { + return false; + } + // ], line 154 + bra = cursor; + // call R1, line 154 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 155 + // delete, line 155 + slice_del(); + break; + case 2: + // (, line 156 + // <-, line 156 + slice_from("e"); + break; + case 3: + // (, line 157 + // <-, line 157 + slice_from("a"); + break; + case 4: + // (, line 158 + // delete, line 158 + slice_del(); + break; + case 5: + // (, line 159 + // <-, line 159 + slice_from("e"); + break; + case 6: + // (, line 160 + // <-, line 160 + slice_from("a"); + break; + case 7: + // (, line 161 + // delete, line 161 + slice_del(); + break; + case 8: + // (, line 162 + // <-, line 162 + slice_from("e"); + break; + case 9: + // (, line 163 + // delete, line 163 + slice_del(); + break; + } + return true; + } + + private boolean r_sing_owner() { + int among_var; + // (, line 167 + // [, line 168 + ket = cursor; + // substring, line 168 + among_var = find_among_b(a_10, 31); + if (among_var == 0) + { + return false; + } + // ], line 168 + bra = cursor; + // call R1, line 168 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 169 + // delete, line 169 + slice_del(); + break; + case 2: + // (, line 170 + // <-, line 170 + slice_from("a"); + break; + case 3: + // (, line 171 + // <-, line 171 + slice_from("e"); + break; + case 4: + // (, line 172 + // delete, line 172 + slice_del(); + break; + case 5: + // (, line 173 + // <-, line 173 + slice_from("a"); + break; + case 6: + // (, line 174 + // <-, line 174 + slice_from("e"); + break; + case 7: + // (, line 175 + // delete, line 175 + slice_del(); + break; + case 8: + // (, line 176 + // delete, line 176 + slice_del(); + break; + case 9: + // (, line 177 + // delete, line 177 + slice_del(); + break; + case 10: + // (, line 178 + // <-, line 178 + slice_from("a"); + break; + case 11: + // (, line 179 + // <-, line 179 + slice_from("e"); + break; + case 12: + // (, line 180 + // delete, line 180 + slice_del(); + break; + case 13: + // (, line 181 + // delete, line 181 + slice_del(); + break; + case 14: + // (, line 182 + // <-, line 182 + slice_from("a"); + break; + case 15: + // (, line 183 + // <-, line 183 + slice_from("e"); + break; + case 16: + // (, line 184 + // delete, line 184 + slice_del(); + break; + case 17: + // (, line 185 + // delete, line 185 + slice_del(); + break; + case 18: + // (, line 186 + // delete, line 186 + slice_del(); + break; + case 19: + // (, line 187 + // <-, line 187 + slice_from("a"); + break; + case 20: + // (, line 188 + // <-, line 188 + slice_from("e"); + break; + } + return true; + } + + private boolean r_plur_owner() { + int among_var; + // (, line 192 + // [, line 193 + ket = cursor; + // substring, line 193 + among_var = find_among_b(a_11, 42); + if (among_var == 0) + { + return false; + } + // ], line 193 + bra = cursor; + // call R1, line 193 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 194 + // delete, line 194 + slice_del(); + break; + case 2: + // (, line 195 + // <-, line 195 + slice_from("a"); + break; + case 3: + // (, line 196 + // <-, line 196 + slice_from("e"); + break; + case 4: + // (, line 197 + // delete, line 197 + slice_del(); + break; + case 5: + // (, line 198 + // delete, line 198 + slice_del(); + break; + case 6: + // (, line 199 + // delete, line 199 + slice_del(); + break; + case 7: + // (, line 200 + // <-, line 200 + slice_from("a"); + break; + case 8: + // (, line 201 + // <-, line 201 + slice_from("e"); + break; + case 9: + // (, line 202 + // delete, line 202 + slice_del(); + break; + case 10: + // (, line 203 + // delete, line 203 + slice_del(); + break; + case 11: + // (, line 204 + // delete, line 204 + slice_del(); + break; + case 12: + // (, line 205 + // <-, line 205 + slice_from("a"); + break; + case 13: + // (, line 206 + // <-, line 206 + slice_from("e"); + break; + case 14: + // (, line 207 + // delete, line 207 + slice_del(); + break; + case 15: + // (, line 208 + // delete, line 208 + slice_del(); + break; + case 16: + // (, line 209 + // delete, line 209 + slice_del(); + break; + case 17: + // (, line 210 + // delete, line 210 + slice_del(); + break; + case 18: + // (, line 211 + // <-, line 211 + slice_from("a"); + break; + case 19: + // (, line 212 + // <-, line 212 + slice_from("e"); + break; + case 20: + // (, line 214 + // delete, line 214 + slice_del(); + break; + case 21: + // (, line 215 + // delete, line 215 + slice_del(); + break; + case 22: + // (, line 216 + // <-, line 216 + slice_from("a"); + break; + case 23: + // (, line 217 + // <-, line 217 + slice_from("e"); + break; + case 24: + // (, line 218 + // delete, line 218 + slice_del(); + break; + case 25: + // (, line 219 + // delete, line 219 + slice_del(); + break; + case 26: + // (, line 220 + // delete, line 220 + slice_del(); + break; + case 27: + // (, line 221 + // <-, line 221 + slice_from("a"); + break; + case 28: + // (, line 222 + // <-, line 222 + slice_from("e"); + break; + case 29: + // (, line 223 + // delete, line 223 + slice_del(); + break; + } + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + // (, line 228 + // do, line 229 + v_1 = cursor; + lab0: do { + // call mark_regions, line 229 + if (!r_mark_regions()) + { + break lab0; + } + } while (false); + cursor = v_1; + // backwards, line 230 + limit_backward = cursor; cursor = limit; + // (, line 230 + // do, line 231 + v_2 = limit - cursor; + lab1: do { + // call instrum, line 231 + if (!r_instrum()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 232 + v_3 = limit - cursor; + lab2: do { + // call case, line 232 + if (!r_case()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 233 + v_4 = limit - cursor; + lab3: do { + // call case_special, line 233 + if (!r_case_special()) + { + break lab3; + } + } while (false); + cursor = limit - v_4; + // do, line 234 + v_5 = limit - cursor; + lab4: do { + // call case_other, line 234 + if (!r_case_other()) + { + break lab4; + } + } while (false); + cursor = limit - v_5; + // do, line 235 + v_6 = limit - cursor; + lab5: do { + // call factive, line 235 + if (!r_factive()) + { + break lab5; + } + } while (false); + cursor = limit - v_6; + // do, line 236 + v_7 = limit - cursor; + lab6: do { + // call owned, line 236 + if (!r_owned()) + { + break lab6; + } + } while (false); + cursor = limit - v_7; + // do, line 237 + v_8 = limit - cursor; + lab7: do { + // call sing_owner, line 237 + if (!r_sing_owner()) + { + break lab7; + } + } while (false); + cursor = limit - v_8; + // do, line 238 + v_9 = limit - cursor; + lab8: do { + // call plur_owner, line 238 + if (!r_plur_owner()) + { + break lab8; + } + } while (false); + cursor = limit - v_9; + // do, line 239 + v_10 = limit - cursor; + lab9: do { + // call plural, line 239 + if (!r_plural()) + { + break lab9; + } + } while (false); + cursor = limit - v_10; + cursor = limit_backward; return true; + } + + public boolean equals( Object o ) { + return o instanceof hungarianStemmer; + } + + public int hashCode() { + return hungarianStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/italianStemmer.java b/lib/org/tartarus/snowball/ext/italianStemmer.java new file mode 100644 index 00000000..c3c12f2c --- /dev/null +++ b/lib/org/tartarus/snowball/ext/italianStemmer.java @@ -0,0 +1,1196 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class italianStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static italianStemmer methodObject = new italianStemmer (); + + private final static Among a_0[] = { + new Among ( "", -1, 7, "", methodObject ), + new Among ( "qu", 0, 6, "", methodObject ), + new Among ( "\u00E1", 0, 1, "", methodObject ), + new Among ( "\u00E9", 0, 2, "", methodObject ), + new Among ( "\u00ED", 0, 3, "", methodObject ), + new Among ( "\u00F3", 0, 4, "", methodObject ), + new Among ( "\u00FA", 0, 5, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "", -1, 3, "", methodObject ), + new Among ( "I", 0, 1, "", methodObject ), + new Among ( "U", 0, 2, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "la", -1, -1, "", methodObject ), + new Among ( "cela", 0, -1, "", methodObject ), + new Among ( "gliela", 0, -1, "", methodObject ), + new Among ( "mela", 0, -1, "", methodObject ), + new Among ( "tela", 0, -1, "", methodObject ), + new Among ( "vela", 0, -1, "", methodObject ), + new Among ( "le", -1, -1, "", methodObject ), + new Among ( "cele", 6, -1, "", methodObject ), + new Among ( "gliele", 6, -1, "", methodObject ), + new Among ( "mele", 6, -1, "", methodObject ), + new Among ( "tele", 6, -1, "", methodObject ), + new Among ( "vele", 6, -1, "", methodObject ), + new Among ( "ne", -1, -1, "", methodObject ), + new Among ( "cene", 12, -1, "", methodObject ), + new Among ( "gliene", 12, -1, "", methodObject ), + new Among ( "mene", 12, -1, "", methodObject ), + new Among ( "sene", 12, -1, "", methodObject ), + new Among ( "tene", 12, -1, "", methodObject ), + new Among ( "vene", 12, -1, "", methodObject ), + new Among ( "ci", -1, -1, "", methodObject ), + new Among ( "li", -1, -1, "", methodObject ), + new Among ( "celi", 20, -1, "", methodObject ), + new Among ( "glieli", 20, -1, "", methodObject ), + new Among ( "meli", 20, -1, "", methodObject ), + new Among ( "teli", 20, -1, "", methodObject ), + new Among ( "veli", 20, -1, "", methodObject ), + new Among ( "gli", 20, -1, "", methodObject ), + new Among ( "mi", -1, -1, "", methodObject ), + new Among ( "si", -1, -1, "", methodObject ), + new Among ( "ti", -1, -1, "", methodObject ), + new Among ( "vi", -1, -1, "", methodObject ), + new Among ( "lo", -1, -1, "", methodObject ), + new Among ( "celo", 31, -1, "", methodObject ), + new Among ( "glielo", 31, -1, "", methodObject ), + new Among ( "melo", 31, -1, "", methodObject ), + new Among ( "telo", 31, -1, "", methodObject ), + new Among ( "velo", 31, -1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "ando", -1, 1, "", methodObject ), + new Among ( "endo", -1, 1, "", methodObject ), + new Among ( "ar", -1, 2, "", methodObject ), + new Among ( "er", -1, 2, "", methodObject ), + new Among ( "ir", -1, 2, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "ic", -1, -1, "", methodObject ), + new Among ( "abil", -1, -1, "", methodObject ), + new Among ( "os", -1, -1, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "ic", -1, 1, "", methodObject ), + new Among ( "abil", -1, 1, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "ica", -1, 1, "", methodObject ), + new Among ( "logia", -1, 3, "", methodObject ), + new Among ( "osa", -1, 1, "", methodObject ), + new Among ( "ista", -1, 1, "", methodObject ), + new Among ( "iva", -1, 9, "", methodObject ), + new Among ( "anza", -1, 1, "", methodObject ), + new Among ( "enza", -1, 5, "", methodObject ), + new Among ( "ice", -1, 1, "", methodObject ), + new Among ( "atrice", 7, 1, "", methodObject ), + new Among ( "iche", -1, 1, "", methodObject ), + new Among ( "logie", -1, 3, "", methodObject ), + new Among ( "abile", -1, 1, "", methodObject ), + new Among ( "ibile", -1, 1, "", methodObject ), + new Among ( "usione", -1, 4, "", methodObject ), + new Among ( "azione", -1, 2, "", methodObject ), + new Among ( "uzione", -1, 4, "", methodObject ), + new Among ( "atore", -1, 2, "", methodObject ), + new Among ( "ose", -1, 1, "", methodObject ), + new Among ( "ante", -1, 1, "", methodObject ), + new Among ( "mente", -1, 1, "", methodObject ), + new Among ( "amente", 19, 7, "", methodObject ), + new Among ( "iste", -1, 1, "", methodObject ), + new Among ( "ive", -1, 9, "", methodObject ), + new Among ( "anze", -1, 1, "", methodObject ), + new Among ( "enze", -1, 5, "", methodObject ), + new Among ( "ici", -1, 1, "", methodObject ), + new Among ( "atrici", 25, 1, "", methodObject ), + new Among ( "ichi", -1, 1, "", methodObject ), + new Among ( "abili", -1, 1, "", methodObject ), + new Among ( "ibili", -1, 1, "", methodObject ), + new Among ( "ismi", -1, 1, "", methodObject ), + new Among ( "usioni", -1, 4, "", methodObject ), + new Among ( "azioni", -1, 2, "", methodObject ), + new Among ( "uzioni", -1, 4, "", methodObject ), + new Among ( "atori", -1, 2, "", methodObject ), + new Among ( "osi", -1, 1, "", methodObject ), + new Among ( "anti", -1, 1, "", methodObject ), + new Among ( "amenti", -1, 6, "", methodObject ), + new Among ( "imenti", -1, 6, "", methodObject ), + new Among ( "isti", -1, 1, "", methodObject ), + new Among ( "ivi", -1, 9, "", methodObject ), + new Among ( "ico", -1, 1, "", methodObject ), + new Among ( "ismo", -1, 1, "", methodObject ), + new Among ( "oso", -1, 1, "", methodObject ), + new Among ( "amento", -1, 6, "", methodObject ), + new Among ( "imento", -1, 6, "", methodObject ), + new Among ( "ivo", -1, 9, "", methodObject ), + new Among ( "it\u00E0", -1, 8, "", methodObject ), + new Among ( "ist\u00E0", -1, 1, "", methodObject ), + new Among ( "ist\u00E8", -1, 1, "", methodObject ), + new Among ( "ist\u00EC", -1, 1, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "isca", -1, 1, "", methodObject ), + new Among ( "enda", -1, 1, "", methodObject ), + new Among ( "ata", -1, 1, "", methodObject ), + new Among ( "ita", -1, 1, "", methodObject ), + new Among ( "uta", -1, 1, "", methodObject ), + new Among ( "ava", -1, 1, "", methodObject ), + new Among ( "eva", -1, 1, "", methodObject ), + new Among ( "iva", -1, 1, "", methodObject ), + new Among ( "erebbe", -1, 1, "", methodObject ), + new Among ( "irebbe", -1, 1, "", methodObject ), + new Among ( "isce", -1, 1, "", methodObject ), + new Among ( "ende", -1, 1, "", methodObject ), + new Among ( "are", -1, 1, "", methodObject ), + new Among ( "ere", -1, 1, "", methodObject ), + new Among ( "ire", -1, 1, "", methodObject ), + new Among ( "asse", -1, 1, "", methodObject ), + new Among ( "ate", -1, 1, "", methodObject ), + new Among ( "avate", 16, 1, "", methodObject ), + new Among ( "evate", 16, 1, "", methodObject ), + new Among ( "ivate", 16, 1, "", methodObject ), + new Among ( "ete", -1, 1, "", methodObject ), + new Among ( "erete", 20, 1, "", methodObject ), + new Among ( "irete", 20, 1, "", methodObject ), + new Among ( "ite", -1, 1, "", methodObject ), + new Among ( "ereste", -1, 1, "", methodObject ), + new Among ( "ireste", -1, 1, "", methodObject ), + new Among ( "ute", -1, 1, "", methodObject ), + new Among ( "erai", -1, 1, "", methodObject ), + new Among ( "irai", -1, 1, "", methodObject ), + new Among ( "isci", -1, 1, "", methodObject ), + new Among ( "endi", -1, 1, "", methodObject ), + new Among ( "erei", -1, 1, "", methodObject ), + new Among ( "irei", -1, 1, "", methodObject ), + new Among ( "assi", -1, 1, "", methodObject ), + new Among ( "ati", -1, 1, "", methodObject ), + new Among ( "iti", -1, 1, "", methodObject ), + new Among ( "eresti", -1, 1, "", methodObject ), + new Among ( "iresti", -1, 1, "", methodObject ), + new Among ( "uti", -1, 1, "", methodObject ), + new Among ( "avi", -1, 1, "", methodObject ), + new Among ( "evi", -1, 1, "", methodObject ), + new Among ( "ivi", -1, 1, "", methodObject ), + new Among ( "isco", -1, 1, "", methodObject ), + new Among ( "ando", -1, 1, "", methodObject ), + new Among ( "endo", -1, 1, "", methodObject ), + new Among ( "Yamo", -1, 1, "", methodObject ), + new Among ( "iamo", -1, 1, "", methodObject ), + new Among ( "avamo", -1, 1, "", methodObject ), + new Among ( "evamo", -1, 1, "", methodObject ), + new Among ( "ivamo", -1, 1, "", methodObject ), + new Among ( "eremo", -1, 1, "", methodObject ), + new Among ( "iremo", -1, 1, "", methodObject ), + new Among ( "assimo", -1, 1, "", methodObject ), + new Among ( "ammo", -1, 1, "", methodObject ), + new Among ( "emmo", -1, 1, "", methodObject ), + new Among ( "eremmo", 54, 1, "", methodObject ), + new Among ( "iremmo", 54, 1, "", methodObject ), + new Among ( "immo", -1, 1, "", methodObject ), + new Among ( "ano", -1, 1, "", methodObject ), + new Among ( "iscano", 58, 1, "", methodObject ), + new Among ( "avano", 58, 1, "", methodObject ), + new Among ( "evano", 58, 1, "", methodObject ), + new Among ( "ivano", 58, 1, "", methodObject ), + new Among ( "eranno", -1, 1, "", methodObject ), + new Among ( "iranno", -1, 1, "", methodObject ), + new Among ( "ono", -1, 1, "", methodObject ), + new Among ( "iscono", 65, 1, "", methodObject ), + new Among ( "arono", 65, 1, "", methodObject ), + new Among ( "erono", 65, 1, "", methodObject ), + new Among ( "irono", 65, 1, "", methodObject ), + new Among ( "erebbero", -1, 1, "", methodObject ), + new Among ( "irebbero", -1, 1, "", methodObject ), + new Among ( "assero", -1, 1, "", methodObject ), + new Among ( "essero", -1, 1, "", methodObject ), + new Among ( "issero", -1, 1, "", methodObject ), + new Among ( "ato", -1, 1, "", methodObject ), + new Among ( "ito", -1, 1, "", methodObject ), + new Among ( "uto", -1, 1, "", methodObject ), + new Among ( "avo", -1, 1, "", methodObject ), + new Among ( "evo", -1, 1, "", methodObject ), + new Among ( "ivo", -1, 1, "", methodObject ), + new Among ( "ar", -1, 1, "", methodObject ), + new Among ( "ir", -1, 1, "", methodObject ), + new Among ( "er\u00E0", -1, 1, "", methodObject ), + new Among ( "ir\u00E0", -1, 1, "", methodObject ), + new Among ( "er\u00F2", -1, 1, "", methodObject ), + new Among ( "ir\u00F2", -1, 1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 128, 8, 2, 1 }; + + private static final char g_AEIO[] = {17, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 128, 8, 2 }; + + private static final char g_CG[] = {17 }; + + private int I_p2; + private int I_p1; + private int I_pV; + + private void copy_from(italianStemmer other) { + I_p2 = other.I_p2; + I_p1 = other.I_p1; + I_pV = other.I_pV; + super.copy_from(other); + } + + private boolean r_prelude() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + // (, line 34 + // test, line 35 + v_1 = cursor; + // repeat, line 35 + replab0: while(true) + { + v_2 = cursor; + lab1: do { + // (, line 35 + // [, line 36 + bra = cursor; + // substring, line 36 + among_var = find_among(a_0, 7); + if (among_var == 0) + { + break lab1; + } + // ], line 36 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 37 + // <-, line 37 + slice_from("\u00E0"); + break; + case 2: + // (, line 38 + // <-, line 38 + slice_from("\u00E8"); + break; + case 3: + // (, line 39 + // <-, line 39 + slice_from("\u00EC"); + break; + case 4: + // (, line 40 + // <-, line 40 + slice_from("\u00F2"); + break; + case 5: + // (, line 41 + // <-, line 41 + slice_from("\u00F9"); + break; + case 6: + // (, line 42 + // <-, line 42 + slice_from("qU"); + break; + case 7: + // (, line 43 + // next, line 43 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_2; + break replab0; + } + cursor = v_1; + // repeat, line 46 + replab2: while(true) + { + v_3 = cursor; + lab3: do { + // goto, line 46 + golab4: while(true) + { + v_4 = cursor; + lab5: do { + // (, line 46 + if (!(in_grouping(g_v, 97, 249))) + { + break lab5; + } + // [, line 47 + bra = cursor; + // or, line 47 + lab6: do { + v_5 = cursor; + lab7: do { + // (, line 47 + // literal, line 47 + if (!(eq_s(1, "u"))) + { + break lab7; + } + // ], line 47 + ket = cursor; + if (!(in_grouping(g_v, 97, 249))) + { + break lab7; + } + // <-, line 47 + slice_from("U"); + break lab6; + } while (false); + cursor = v_5; + // (, line 48 + // literal, line 48 + if (!(eq_s(1, "i"))) + { + break lab5; + } + // ], line 48 + ket = cursor; + if (!(in_grouping(g_v, 97, 249))) + { + break lab5; + } + // <-, line 48 + slice_from("I"); + } while (false); + cursor = v_4; + break golab4; + } while (false); + cursor = v_4; + if (cursor >= limit) + { + break lab3; + } + cursor++; + } + continue replab2; + } while (false); + cursor = v_3; + break replab2; + } + return true; + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + int v_3; + int v_6; + int v_8; + // (, line 52 + I_pV = limit; + I_p1 = limit; + I_p2 = limit; + // do, line 58 + v_1 = cursor; + lab0: do { + // (, line 58 + // or, line 60 + lab1: do { + v_2 = cursor; + lab2: do { + // (, line 59 + if (!(in_grouping(g_v, 97, 249))) + { + break lab2; + } + // or, line 59 + lab3: do { + v_3 = cursor; + lab4: do { + // (, line 59 + if (!(out_grouping(g_v, 97, 249))) + { + break lab4; + } + // gopast, line 59 + golab5: while(true) + { + lab6: do { + if (!(in_grouping(g_v, 97, 249))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + break lab4; + } + cursor++; + } + break lab3; + } while (false); + cursor = v_3; + // (, line 59 + if (!(in_grouping(g_v, 97, 249))) + { + break lab2; + } + // gopast, line 59 + golab7: while(true) + { + lab8: do { + if (!(out_grouping(g_v, 97, 249))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab2; + } + cursor++; + } + } while (false); + break lab1; + } while (false); + cursor = v_2; + // (, line 61 + if (!(out_grouping(g_v, 97, 249))) + { + break lab0; + } + // or, line 61 + lab9: do { + v_6 = cursor; + lab10: do { + // (, line 61 + if (!(out_grouping(g_v, 97, 249))) + { + break lab10; + } + // gopast, line 61 + golab11: while(true) + { + lab12: do { + if (!(in_grouping(g_v, 97, 249))) + { + break lab12; + } + break golab11; + } while (false); + if (cursor >= limit) + { + break lab10; + } + cursor++; + } + break lab9; + } while (false); + cursor = v_6; + // (, line 61 + if (!(in_grouping(g_v, 97, 249))) + { + break lab0; + } + // next, line 61 + if (cursor >= limit) + { + break lab0; + } + cursor++; + } while (false); + } while (false); + // setmark pV, line 62 + I_pV = cursor; + } while (false); + cursor = v_1; + // do, line 64 + v_8 = cursor; + lab13: do { + // (, line 64 + // gopast, line 65 + golab14: while(true) + { + lab15: do { + if (!(in_grouping(g_v, 97, 249))) + { + break lab15; + } + break golab14; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 65 + golab16: while(true) + { + lab17: do { + if (!(out_grouping(g_v, 97, 249))) + { + break lab17; + } + break golab16; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p1, line 65 + I_p1 = cursor; + // gopast, line 66 + golab18: while(true) + { + lab19: do { + if (!(in_grouping(g_v, 97, 249))) + { + break lab19; + } + break golab18; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 66 + golab20: while(true) + { + lab21: do { + if (!(out_grouping(g_v, 97, 249))) + { + break lab21; + } + break golab20; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p2, line 66 + I_p2 = cursor; + } while (false); + cursor = v_8; + return true; + } + + private boolean r_postlude() { + int among_var; + int v_1; + // repeat, line 70 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 70 + // [, line 72 + bra = cursor; + // substring, line 72 + among_var = find_among(a_1, 3); + if (among_var == 0) + { + break lab1; + } + // ], line 72 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 73 + // <-, line 73 + slice_from("i"); + break; + case 2: + // (, line 74 + // <-, line 74 + slice_from("u"); + break; + case 3: + // (, line 75 + // next, line 75 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_RV() { + if (!(I_pV <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_attached_pronoun() { + int among_var; + // (, line 86 + // [, line 87 + ket = cursor; + // substring, line 87 + if (find_among_b(a_2, 37) == 0) + { + return false; + } + // ], line 87 + bra = cursor; + // among, line 97 + among_var = find_among_b(a_3, 5); + if (among_var == 0) + { + return false; + } + // (, line 97 + // call RV, line 97 + if (!r_RV()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 98 + // delete, line 98 + slice_del(); + break; + case 2: + // (, line 99 + // <-, line 99 + slice_from("e"); + break; + } + return true; + } + + private boolean r_standard_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 103 + // [, line 104 + ket = cursor; + // substring, line 104 + among_var = find_among_b(a_6, 51); + if (among_var == 0) + { + return false; + } + // ], line 104 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 111 + // call R2, line 111 + if (!r_R2()) + { + return false; + } + // delete, line 111 + slice_del(); + break; + case 2: + // (, line 113 + // call R2, line 113 + if (!r_R2()) + { + return false; + } + // delete, line 113 + slice_del(); + // try, line 114 + v_1 = limit - cursor; + lab0: do { + // (, line 114 + // [, line 114 + ket = cursor; + // literal, line 114 + if (!(eq_s_b(2, "ic"))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 114 + bra = cursor; + // call R2, line 114 + if (!r_R2()) + { + cursor = limit - v_1; + break lab0; + } + // delete, line 114 + slice_del(); + } while (false); + break; + case 3: + // (, line 117 + // call R2, line 117 + if (!r_R2()) + { + return false; + } + // <-, line 117 + slice_from("log"); + break; + case 4: + // (, line 119 + // call R2, line 119 + if (!r_R2()) + { + return false; + } + // <-, line 119 + slice_from("u"); + break; + case 5: + // (, line 121 + // call R2, line 121 + if (!r_R2()) + { + return false; + } + // <-, line 121 + slice_from("ente"); + break; + case 6: + // (, line 123 + // call RV, line 123 + if (!r_RV()) + { + return false; + } + // delete, line 123 + slice_del(); + break; + case 7: + // (, line 124 + // call R1, line 125 + if (!r_R1()) + { + return false; + } + // delete, line 125 + slice_del(); + // try, line 126 + v_2 = limit - cursor; + lab1: do { + // (, line 126 + // [, line 127 + ket = cursor; + // substring, line 127 + among_var = find_among_b(a_4, 4); + if (among_var == 0) + { + cursor = limit - v_2; + break lab1; + } + // ], line 127 + bra = cursor; + // call R2, line 127 + if (!r_R2()) + { + cursor = limit - v_2; + break lab1; + } + // delete, line 127 + slice_del(); + switch(among_var) { + case 0: + cursor = limit - v_2; + break lab1; + case 1: + // (, line 128 + // [, line 128 + ket = cursor; + // literal, line 128 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_2; + break lab1; + } + // ], line 128 + bra = cursor; + // call R2, line 128 + if (!r_R2()) + { + cursor = limit - v_2; + break lab1; + } + // delete, line 128 + slice_del(); + break; + } + } while (false); + break; + case 8: + // (, line 133 + // call R2, line 134 + if (!r_R2()) + { + return false; + } + // delete, line 134 + slice_del(); + // try, line 135 + v_3 = limit - cursor; + lab2: do { + // (, line 135 + // [, line 136 + ket = cursor; + // substring, line 136 + among_var = find_among_b(a_5, 3); + if (among_var == 0) + { + cursor = limit - v_3; + break lab2; + } + // ], line 136 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_3; + break lab2; + case 1: + // (, line 137 + // call R2, line 137 + if (!r_R2()) + { + cursor = limit - v_3; + break lab2; + } + // delete, line 137 + slice_del(); + break; + } + } while (false); + break; + case 9: + // (, line 141 + // call R2, line 142 + if (!r_R2()) + { + return false; + } + // delete, line 142 + slice_del(); + // try, line 143 + v_4 = limit - cursor; + lab3: do { + // (, line 143 + // [, line 143 + ket = cursor; + // literal, line 143 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_4; + break lab3; + } + // ], line 143 + bra = cursor; + // call R2, line 143 + if (!r_R2()) + { + cursor = limit - v_4; + break lab3; + } + // delete, line 143 + slice_del(); + // [, line 143 + ket = cursor; + // literal, line 143 + if (!(eq_s_b(2, "ic"))) + { + cursor = limit - v_4; + break lab3; + } + // ], line 143 + bra = cursor; + // call R2, line 143 + if (!r_R2()) + { + cursor = limit - v_4; + break lab3; + } + // delete, line 143 + slice_del(); + } while (false); + break; + } + return true; + } + + private boolean r_verb_suffix() { + int among_var; + int v_1; + int v_2; + // setlimit, line 148 + v_1 = limit - cursor; + // tomark, line 148 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 148 + // [, line 149 + ket = cursor; + // substring, line 149 + among_var = find_among_b(a_7, 87); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 149 + bra = cursor; + switch(among_var) { + case 0: + limit_backward = v_2; + return false; + case 1: + // (, line 163 + // delete, line 163 + slice_del(); + break; + } + limit_backward = v_2; + return true; + } + + private boolean r_vowel_suffix() { + int v_1; + int v_2; + // (, line 170 + // try, line 171 + v_1 = limit - cursor; + lab0: do { + // (, line 171 + // [, line 172 + ket = cursor; + if (!(in_grouping_b(g_AEIO, 97, 242))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 172 + bra = cursor; + // call RV, line 172 + if (!r_RV()) + { + cursor = limit - v_1; + break lab0; + } + // delete, line 172 + slice_del(); + // [, line 173 + ket = cursor; + // literal, line 173 + if (!(eq_s_b(1, "i"))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 173 + bra = cursor; + // call RV, line 173 + if (!r_RV()) + { + cursor = limit - v_1; + break lab0; + } + // delete, line 173 + slice_del(); + } while (false); + // try, line 175 + v_2 = limit - cursor; + lab1: do { + // (, line 175 + // [, line 176 + ket = cursor; + // literal, line 176 + if (!(eq_s_b(1, "h"))) + { + cursor = limit - v_2; + break lab1; + } + // ], line 176 + bra = cursor; + if (!(in_grouping_b(g_CG, 99, 103))) + { + cursor = limit - v_2; + break lab1; + } + // call RV, line 176 + if (!r_RV()) + { + cursor = limit - v_2; + break lab1; + } + // delete, line 176 + slice_del(); + } while (false); + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + // (, line 181 + // do, line 182 + v_1 = cursor; + lab0: do { + // call prelude, line 182 + if (!r_prelude()) + { + break lab0; + } + } while (false); + cursor = v_1; + // do, line 183 + v_2 = cursor; + lab1: do { + // call mark_regions, line 183 + if (!r_mark_regions()) + { + break lab1; + } + } while (false); + cursor = v_2; + // backwards, line 184 + limit_backward = cursor; cursor = limit; + // (, line 184 + // do, line 185 + v_3 = limit - cursor; + lab2: do { + // call attached_pronoun, line 185 + if (!r_attached_pronoun()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 186 + v_4 = limit - cursor; + lab3: do { + // (, line 186 + // or, line 186 + lab4: do { + v_5 = limit - cursor; + lab5: do { + // call standard_suffix, line 186 + if (!r_standard_suffix()) + { + break lab5; + } + break lab4; + } while (false); + cursor = limit - v_5; + // call verb_suffix, line 186 + if (!r_verb_suffix()) + { + break lab3; + } + } while (false); + } while (false); + cursor = limit - v_4; + // do, line 187 + v_6 = limit - cursor; + lab6: do { + // call vowel_suffix, line 187 + if (!r_vowel_suffix()) + { + break lab6; + } + } while (false); + cursor = limit - v_6; + cursor = limit_backward; // do, line 189 + v_7 = cursor; + lab7: do { + // call postlude, line 189 + if (!r_postlude()) + { + break lab7; + } + } while (false); + cursor = v_7; + return true; + } + + public boolean equals( Object o ) { + return o instanceof italianStemmer; + } + + public int hashCode() { + return italianStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/norwegianStemmer.java b/lib/org/tartarus/snowball/ext/norwegianStemmer.java new file mode 100644 index 00000000..d0fd08ce --- /dev/null +++ b/lib/org/tartarus/snowball/ext/norwegianStemmer.java @@ -0,0 +1,374 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class norwegianStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static norwegianStemmer methodObject = new norwegianStemmer (); + + private final static Among a_0[] = { + new Among ( "a", -1, 1, "", methodObject ), + new Among ( "e", -1, 1, "", methodObject ), + new Among ( "ede", 1, 1, "", methodObject ), + new Among ( "ande", 1, 1, "", methodObject ), + new Among ( "ende", 1, 1, "", methodObject ), + new Among ( "ane", 1, 1, "", methodObject ), + new Among ( "ene", 1, 1, "", methodObject ), + new Among ( "hetene", 6, 1, "", methodObject ), + new Among ( "erte", 1, 3, "", methodObject ), + new Among ( "en", -1, 1, "", methodObject ), + new Among ( "heten", 9, 1, "", methodObject ), + new Among ( "ar", -1, 1, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "heter", 12, 1, "", methodObject ), + new Among ( "s", -1, 2, "", methodObject ), + new Among ( "as", 14, 1, "", methodObject ), + new Among ( "es", 14, 1, "", methodObject ), + new Among ( "edes", 16, 1, "", methodObject ), + new Among ( "endes", 16, 1, "", methodObject ), + new Among ( "enes", 16, 1, "", methodObject ), + new Among ( "hetenes", 19, 1, "", methodObject ), + new Among ( "ens", 14, 1, "", methodObject ), + new Among ( "hetens", 21, 1, "", methodObject ), + new Among ( "ers", 14, 1, "", methodObject ), + new Among ( "ets", 14, 1, "", methodObject ), + new Among ( "et", -1, 1, "", methodObject ), + new Among ( "het", 25, 1, "", methodObject ), + new Among ( "ert", -1, 3, "", methodObject ), + new Among ( "ast", -1, 1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "dt", -1, -1, "", methodObject ), + new Among ( "vt", -1, -1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "leg", -1, 1, "", methodObject ), + new Among ( "eleg", 0, 1, "", methodObject ), + new Among ( "ig", -1, 1, "", methodObject ), + new Among ( "eig", 2, 1, "", methodObject ), + new Among ( "lig", 2, 1, "", methodObject ), + new Among ( "elig", 4, 1, "", methodObject ), + new Among ( "els", -1, 1, "", methodObject ), + new Among ( "lov", -1, 1, "", methodObject ), + new Among ( "elov", 7, 1, "", methodObject ), + new Among ( "slov", 7, 1, "", methodObject ), + new Among ( "hetslov", 9, 1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 128 }; + + private static final char g_s_ending[] = {119, 125, 149, 1 }; + + private int I_x; + private int I_p1; + + private void copy_from(norwegianStemmer other) { + I_x = other.I_x; + I_p1 = other.I_p1; + super.copy_from(other); + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + // (, line 26 + I_p1 = limit; + // test, line 30 + v_1 = cursor; + // (, line 30 + // hop, line 30 + { + int c = cursor + 3; + if (0 > c || c > limit) + { + return false; + } + cursor = c; + } + // setmark x, line 30 + I_x = cursor; + cursor = v_1; + // goto, line 31 + golab0: while(true) + { + v_2 = cursor; + lab1: do { + if (!(in_grouping(g_v, 97, 248))) + { + break lab1; + } + cursor = v_2; + break golab0; + } while (false); + cursor = v_2; + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 31 + golab2: while(true) + { + lab3: do { + if (!(out_grouping(g_v, 97, 248))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p1, line 31 + I_p1 = cursor; + // try, line 32 + lab4: do { + // (, line 32 + if (!(I_p1 < I_x)) + { + break lab4; + } + I_p1 = I_x; + } while (false); + return true; + } + + private boolean r_main_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + // (, line 37 + // setlimit, line 38 + v_1 = limit - cursor; + // tomark, line 38 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 38 + // [, line 38 + ket = cursor; + // substring, line 38 + among_var = find_among_b(a_0, 29); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 38 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 44 + // delete, line 44 + slice_del(); + break; + case 2: + // (, line 46 + // or, line 46 + lab0: do { + v_3 = limit - cursor; + lab1: do { + if (!(in_grouping_b(g_s_ending, 98, 122))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_3; + // (, line 46 + // literal, line 46 + if (!(eq_s_b(1, "k"))) + { + return false; + } + if (!(out_grouping_b(g_v, 97, 248))) + { + return false; + } + } while (false); + // delete, line 46 + slice_del(); + break; + case 3: + // (, line 48 + // <-, line 48 + slice_from("er"); + break; + } + return true; + } + + private boolean r_consonant_pair() { + int v_1; + int v_2; + int v_3; + // (, line 52 + // test, line 53 + v_1 = limit - cursor; + // (, line 53 + // setlimit, line 54 + v_2 = limit - cursor; + // tomark, line 54 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_3 = limit_backward; + limit_backward = cursor; + cursor = limit - v_2; + // (, line 54 + // [, line 54 + ket = cursor; + // substring, line 54 + if (find_among_b(a_1, 2) == 0) + { + limit_backward = v_3; + return false; + } + // ], line 54 + bra = cursor; + limit_backward = v_3; + cursor = limit - v_1; + // next, line 59 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // ], line 59 + bra = cursor; + // delete, line 59 + slice_del(); + return true; + } + + private boolean r_other_suffix() { + int among_var; + int v_1; + int v_2; + // (, line 62 + // setlimit, line 63 + v_1 = limit - cursor; + // tomark, line 63 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 63 + // [, line 63 + ket = cursor; + // substring, line 63 + among_var = find_among_b(a_2, 11); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 63 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 67 + // delete, line 67 + slice_del(); + break; + } + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 72 + // do, line 74 + v_1 = cursor; + lab0: do { + // call mark_regions, line 74 + if (!r_mark_regions()) + { + break lab0; + } + } while (false); + cursor = v_1; + // backwards, line 75 + limit_backward = cursor; cursor = limit; + // (, line 75 + // do, line 76 + v_2 = limit - cursor; + lab1: do { + // call main_suffix, line 76 + if (!r_main_suffix()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 77 + v_3 = limit - cursor; + lab2: do { + // call consonant_pair, line 77 + if (!r_consonant_pair()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 78 + v_4 = limit - cursor; + lab3: do { + // call other_suffix, line 78 + if (!r_other_suffix()) + { + break lab3; + } + } while (false); + cursor = limit - v_4; + cursor = limit_backward; return true; + } + + public boolean equals( Object o ) { + return o instanceof norwegianStemmer; + } + + public int hashCode() { + return norwegianStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/porterStemmer.java b/lib/org/tartarus/snowball/ext/porterStemmer.java new file mode 100644 index 00000000..4e756577 --- /dev/null +++ b/lib/org/tartarus/snowball/ext/porterStemmer.java @@ -0,0 +1,922 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class porterStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static porterStemmer methodObject = new porterStemmer (); + + private final static Among a_0[] = { + new Among ( "s", -1, 3, "", methodObject ), + new Among ( "ies", 0, 2, "", methodObject ), + new Among ( "sses", 0, 1, "", methodObject ), + new Among ( "ss", 0, -1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "", -1, 3, "", methodObject ), + new Among ( "bb", 0, 2, "", methodObject ), + new Among ( "dd", 0, 2, "", methodObject ), + new Among ( "ff", 0, 2, "", methodObject ), + new Among ( "gg", 0, 2, "", methodObject ), + new Among ( "bl", 0, 1, "", methodObject ), + new Among ( "mm", 0, 2, "", methodObject ), + new Among ( "nn", 0, 2, "", methodObject ), + new Among ( "pp", 0, 2, "", methodObject ), + new Among ( "rr", 0, 2, "", methodObject ), + new Among ( "at", 0, 1, "", methodObject ), + new Among ( "tt", 0, 2, "", methodObject ), + new Among ( "iz", 0, 1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ed", -1, 2, "", methodObject ), + new Among ( "eed", 0, 1, "", methodObject ), + new Among ( "ing", -1, 2, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "anci", -1, 3, "", methodObject ), + new Among ( "enci", -1, 2, "", methodObject ), + new Among ( "abli", -1, 4, "", methodObject ), + new Among ( "eli", -1, 6, "", methodObject ), + new Among ( "alli", -1, 9, "", methodObject ), + new Among ( "ousli", -1, 12, "", methodObject ), + new Among ( "entli", -1, 5, "", methodObject ), + new Among ( "aliti", -1, 10, "", methodObject ), + new Among ( "biliti", -1, 14, "", methodObject ), + new Among ( "iviti", -1, 13, "", methodObject ), + new Among ( "tional", -1, 1, "", methodObject ), + new Among ( "ational", 10, 8, "", methodObject ), + new Among ( "alism", -1, 10, "", methodObject ), + new Among ( "ation", -1, 8, "", methodObject ), + new Among ( "ization", 13, 7, "", methodObject ), + new Among ( "izer", -1, 7, "", methodObject ), + new Among ( "ator", -1, 8, "", methodObject ), + new Among ( "iveness", -1, 13, "", methodObject ), + new Among ( "fulness", -1, 11, "", methodObject ), + new Among ( "ousness", -1, 12, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "icate", -1, 2, "", methodObject ), + new Among ( "ative", -1, 3, "", methodObject ), + new Among ( "alize", -1, 1, "", methodObject ), + new Among ( "iciti", -1, 2, "", methodObject ), + new Among ( "ical", -1, 2, "", methodObject ), + new Among ( "ful", -1, 3, "", methodObject ), + new Among ( "ness", -1, 3, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "ic", -1, 1, "", methodObject ), + new Among ( "ance", -1, 1, "", methodObject ), + new Among ( "ence", -1, 1, "", methodObject ), + new Among ( "able", -1, 1, "", methodObject ), + new Among ( "ible", -1, 1, "", methodObject ), + new Among ( "ate", -1, 1, "", methodObject ), + new Among ( "ive", -1, 1, "", methodObject ), + new Among ( "ize", -1, 1, "", methodObject ), + new Among ( "iti", -1, 1, "", methodObject ), + new Among ( "al", -1, 1, "", methodObject ), + new Among ( "ism", -1, 1, "", methodObject ), + new Among ( "ion", -1, 2, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "ous", -1, 1, "", methodObject ), + new Among ( "ant", -1, 1, "", methodObject ), + new Among ( "ent", -1, 1, "", methodObject ), + new Among ( "ment", 15, 1, "", methodObject ), + new Among ( "ement", 16, 1, "", methodObject ), + new Among ( "ou", -1, 1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1 }; + + private static final char g_v_WXY[] = {1, 17, 65, 208, 1 }; + + private boolean B_Y_found; + private int I_p2; + private int I_p1; + + private void copy_from(porterStemmer other) { + B_Y_found = other.B_Y_found; + I_p2 = other.I_p2; + I_p1 = other.I_p1; + super.copy_from(other); + } + + private boolean r_shortv() { + // (, line 19 + if (!(out_grouping_b(g_v_WXY, 89, 121))) + { + return false; + } + if (!(in_grouping_b(g_v, 97, 121))) + { + return false; + } + if (!(out_grouping_b(g_v, 97, 121))) + { + return false; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_Step_1a() { + int among_var; + // (, line 24 + // [, line 25 + ket = cursor; + // substring, line 25 + among_var = find_among_b(a_0, 4); + if (among_var == 0) + { + return false; + } + // ], line 25 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 26 + // <-, line 26 + slice_from("ss"); + break; + case 2: + // (, line 27 + // <-, line 27 + slice_from("i"); + break; + case 3: + // (, line 29 + // delete, line 29 + slice_del(); + break; + } + return true; + } + + private boolean r_Step_1b() { + int among_var; + int v_1; + int v_3; + int v_4; + // (, line 33 + // [, line 34 + ket = cursor; + // substring, line 34 + among_var = find_among_b(a_2, 3); + if (among_var == 0) + { + return false; + } + // ], line 34 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 35 + // call R1, line 35 + if (!r_R1()) + { + return false; + } + // <-, line 35 + slice_from("ee"); + break; + case 2: + // (, line 37 + // test, line 38 + v_1 = limit - cursor; + // gopast, line 38 + golab0: while(true) + { + lab1: do { + if (!(in_grouping_b(g_v, 97, 121))) + { + break lab1; + } + break golab0; + } while (false); + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + cursor = limit - v_1; + // delete, line 38 + slice_del(); + // test, line 39 + v_3 = limit - cursor; + // substring, line 39 + among_var = find_among_b(a_1, 13); + if (among_var == 0) + { + return false; + } + cursor = limit - v_3; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 41 + // <+, line 41 + { + int c = cursor; + insert(cursor, cursor, "e"); + cursor = c; + } + break; + case 2: + // (, line 44 + // [, line 44 + ket = cursor; + // next, line 44 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // ], line 44 + bra = cursor; + // delete, line 44 + slice_del(); + break; + case 3: + // (, line 45 + // atmark, line 45 + if (cursor != I_p1) + { + return false; + } + // test, line 45 + v_4 = limit - cursor; + // call shortv, line 45 + if (!r_shortv()) + { + return false; + } + cursor = limit - v_4; + // <+, line 45 + { + int c = cursor; + insert(cursor, cursor, "e"); + cursor = c; + } + break; + } + break; + } + return true; + } + + private boolean r_Step_1c() { + int v_1; + // (, line 51 + // [, line 52 + ket = cursor; + // or, line 52 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // literal, line 52 + if (!(eq_s_b(1, "y"))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // literal, line 52 + if (!(eq_s_b(1, "Y"))) + { + return false; + } + } while (false); + // ], line 52 + bra = cursor; + // gopast, line 53 + golab2: while(true) + { + lab3: do { + if (!(in_grouping_b(g_v, 97, 121))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + // <-, line 54 + slice_from("i"); + return true; + } + + private boolean r_Step_2() { + int among_var; + // (, line 57 + // [, line 58 + ket = cursor; + // substring, line 58 + among_var = find_among_b(a_3, 20); + if (among_var == 0) + { + return false; + } + // ], line 58 + bra = cursor; + // call R1, line 58 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 59 + // <-, line 59 + slice_from("tion"); + break; + case 2: + // (, line 60 + // <-, line 60 + slice_from("ence"); + break; + case 3: + // (, line 61 + // <-, line 61 + slice_from("ance"); + break; + case 4: + // (, line 62 + // <-, line 62 + slice_from("able"); + break; + case 5: + // (, line 63 + // <-, line 63 + slice_from("ent"); + break; + case 6: + // (, line 64 + // <-, line 64 + slice_from("e"); + break; + case 7: + // (, line 66 + // <-, line 66 + slice_from("ize"); + break; + case 8: + // (, line 68 + // <-, line 68 + slice_from("ate"); + break; + case 9: + // (, line 69 + // <-, line 69 + slice_from("al"); + break; + case 10: + // (, line 71 + // <-, line 71 + slice_from("al"); + break; + case 11: + // (, line 72 + // <-, line 72 + slice_from("ful"); + break; + case 12: + // (, line 74 + // <-, line 74 + slice_from("ous"); + break; + case 13: + // (, line 76 + // <-, line 76 + slice_from("ive"); + break; + case 14: + // (, line 77 + // <-, line 77 + slice_from("ble"); + break; + } + return true; + } + + private boolean r_Step_3() { + int among_var; + // (, line 81 + // [, line 82 + ket = cursor; + // substring, line 82 + among_var = find_among_b(a_4, 7); + if (among_var == 0) + { + return false; + } + // ], line 82 + bra = cursor; + // call R1, line 82 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 83 + // <-, line 83 + slice_from("al"); + break; + case 2: + // (, line 85 + // <-, line 85 + slice_from("ic"); + break; + case 3: + // (, line 87 + // delete, line 87 + slice_del(); + break; + } + return true; + } + + private boolean r_Step_4() { + int among_var; + int v_1; + // (, line 91 + // [, line 92 + ket = cursor; + // substring, line 92 + among_var = find_among_b(a_5, 19); + if (among_var == 0) + { + return false; + } + // ], line 92 + bra = cursor; + // call R2, line 92 + if (!r_R2()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 95 + // delete, line 95 + slice_del(); + break; + case 2: + // (, line 96 + // or, line 96 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // literal, line 96 + if (!(eq_s_b(1, "s"))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // literal, line 96 + if (!(eq_s_b(1, "t"))) + { + return false; + } + } while (false); + // delete, line 96 + slice_del(); + break; + } + return true; + } + + private boolean r_Step_5a() { + int v_1; + int v_2; + // (, line 100 + // [, line 101 + ket = cursor; + // literal, line 101 + if (!(eq_s_b(1, "e"))) + { + return false; + } + // ], line 101 + bra = cursor; + // or, line 102 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // call R2, line 102 + if (!r_R2()) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 102 + // call R1, line 102 + if (!r_R1()) + { + return false; + } + // not, line 102 + { + v_2 = limit - cursor; + lab2: do { + // call shortv, line 102 + if (!r_shortv()) + { + break lab2; + } + return false; + } while (false); + cursor = limit - v_2; + } + } while (false); + // delete, line 103 + slice_del(); + return true; + } + + private boolean r_Step_5b() { + // (, line 106 + // [, line 107 + ket = cursor; + // literal, line 107 + if (!(eq_s_b(1, "l"))) + { + return false; + } + // ], line 107 + bra = cursor; + // call R2, line 108 + if (!r_R2()) + { + return false; + } + // literal, line 108 + if (!(eq_s_b(1, "l"))) + { + return false; + } + // delete, line 109 + slice_del(); + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_10; + int v_11; + int v_12; + int v_13; + int v_14; + int v_15; + int v_16; + int v_17; + int v_18; + int v_19; + int v_20; + // (, line 113 + // unset Y_found, line 115 + B_Y_found = false; + // do, line 116 + v_1 = cursor; + lab0: do { + // (, line 116 + // [, line 116 + bra = cursor; + // literal, line 116 + if (!(eq_s(1, "y"))) + { + break lab0; + } + // ], line 116 + ket = cursor; + // <-, line 116 + slice_from("Y"); + // set Y_found, line 116 + B_Y_found = true; + } while (false); + cursor = v_1; + // do, line 117 + v_2 = cursor; + lab1: do { + // repeat, line 117 + replab2: while(true) + { + v_3 = cursor; + lab3: do { + // (, line 117 + // goto, line 117 + golab4: while(true) + { + v_4 = cursor; + lab5: do { + // (, line 117 + if (!(in_grouping(g_v, 97, 121))) + { + break lab5; + } + // [, line 117 + bra = cursor; + // literal, line 117 + if (!(eq_s(1, "y"))) + { + break lab5; + } + // ], line 117 + ket = cursor; + cursor = v_4; + break golab4; + } while (false); + cursor = v_4; + if (cursor >= limit) + { + break lab3; + } + cursor++; + } + // <-, line 117 + slice_from("Y"); + // set Y_found, line 117 + B_Y_found = true; + continue replab2; + } while (false); + cursor = v_3; + break replab2; + } + } while (false); + cursor = v_2; + I_p1 = limit; + I_p2 = limit; + // do, line 121 + v_5 = cursor; + lab6: do { + // (, line 121 + // gopast, line 122 + golab7: while(true) + { + lab8: do { + if (!(in_grouping(g_v, 97, 121))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // gopast, line 122 + golab9: while(true) + { + lab10: do { + if (!(out_grouping(g_v, 97, 121))) + { + break lab10; + } + break golab9; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // setmark p1, line 122 + I_p1 = cursor; + // gopast, line 123 + golab11: while(true) + { + lab12: do { + if (!(in_grouping(g_v, 97, 121))) + { + break lab12; + } + break golab11; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // gopast, line 123 + golab13: while(true) + { + lab14: do { + if (!(out_grouping(g_v, 97, 121))) + { + break lab14; + } + break golab13; + } while (false); + if (cursor >= limit) + { + break lab6; + } + cursor++; + } + // setmark p2, line 123 + I_p2 = cursor; + } while (false); + cursor = v_5; + // backwards, line 126 + limit_backward = cursor; cursor = limit; + // (, line 126 + // do, line 127 + v_10 = limit - cursor; + lab15: do { + // call Step_1a, line 127 + if (!r_Step_1a()) + { + break lab15; + } + } while (false); + cursor = limit - v_10; + // do, line 128 + v_11 = limit - cursor; + lab16: do { + // call Step_1b, line 128 + if (!r_Step_1b()) + { + break lab16; + } + } while (false); + cursor = limit - v_11; + // do, line 129 + v_12 = limit - cursor; + lab17: do { + // call Step_1c, line 129 + if (!r_Step_1c()) + { + break lab17; + } + } while (false); + cursor = limit - v_12; + // do, line 130 + v_13 = limit - cursor; + lab18: do { + // call Step_2, line 130 + if (!r_Step_2()) + { + break lab18; + } + } while (false); + cursor = limit - v_13; + // do, line 131 + v_14 = limit - cursor; + lab19: do { + // call Step_3, line 131 + if (!r_Step_3()) + { + break lab19; + } + } while (false); + cursor = limit - v_14; + // do, line 132 + v_15 = limit - cursor; + lab20: do { + // call Step_4, line 132 + if (!r_Step_4()) + { + break lab20; + } + } while (false); + cursor = limit - v_15; + // do, line 133 + v_16 = limit - cursor; + lab21: do { + // call Step_5a, line 133 + if (!r_Step_5a()) + { + break lab21; + } + } while (false); + cursor = limit - v_16; + // do, line 134 + v_17 = limit - cursor; + lab22: do { + // call Step_5b, line 134 + if (!r_Step_5b()) + { + break lab22; + } + } while (false); + cursor = limit - v_17; + cursor = limit_backward; // do, line 137 + v_18 = cursor; + lab23: do { + // (, line 137 + // Boolean test Y_found, line 137 + if (!(B_Y_found)) + { + break lab23; + } + // repeat, line 137 + replab24: while(true) + { + v_19 = cursor; + lab25: do { + // (, line 137 + // goto, line 137 + golab26: while(true) + { + v_20 = cursor; + lab27: do { + // (, line 137 + // [, line 137 + bra = cursor; + // literal, line 137 + if (!(eq_s(1, "Y"))) + { + break lab27; + } + // ], line 137 + ket = cursor; + cursor = v_20; + break golab26; + } while (false); + cursor = v_20; + if (cursor >= limit) + { + break lab25; + } + cursor++; + } + // <-, line 137 + slice_from("y"); + continue replab24; + } while (false); + cursor = v_19; + break replab24; + } + } while (false); + cursor = v_18; + return true; + } + + public boolean equals( Object o ) { + return o instanceof porterStemmer; + } + + public int hashCode() { + return porterStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/portugueseStemmer.java b/lib/org/tartarus/snowball/ext/portugueseStemmer.java new file mode 100644 index 00000000..408b069a --- /dev/null +++ b/lib/org/tartarus/snowball/ext/portugueseStemmer.java @@ -0,0 +1,1132 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class portugueseStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static portugueseStemmer methodObject = new portugueseStemmer (); + + private final static Among a_0[] = { + new Among ( "", -1, 3, "", methodObject ), + new Among ( "\u00E3", 0, 1, "", methodObject ), + new Among ( "\u00F5", 0, 2, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "", -1, 3, "", methodObject ), + new Among ( "a~", 0, 1, "", methodObject ), + new Among ( "o~", 0, 2, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ic", -1, -1, "", methodObject ), + new Among ( "ad", -1, -1, "", methodObject ), + new Among ( "os", -1, -1, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "ante", -1, 1, "", methodObject ), + new Among ( "avel", -1, 1, "", methodObject ), + new Among ( "\u00EDvel", -1, 1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "ic", -1, 1, "", methodObject ), + new Among ( "abil", -1, 1, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "ica", -1, 1, "", methodObject ), + new Among ( "\u00E2ncia", -1, 1, "", methodObject ), + new Among ( "\u00EAncia", -1, 4, "", methodObject ), + new Among ( "ira", -1, 9, "", methodObject ), + new Among ( "adora", -1, 1, "", methodObject ), + new Among ( "osa", -1, 1, "", methodObject ), + new Among ( "ista", -1, 1, "", methodObject ), + new Among ( "iva", -1, 8, "", methodObject ), + new Among ( "eza", -1, 1, "", methodObject ), + new Among ( "log\u00EDa", -1, 2, "", methodObject ), + new Among ( "idade", -1, 7, "", methodObject ), + new Among ( "ante", -1, 1, "", methodObject ), + new Among ( "mente", -1, 6, "", methodObject ), + new Among ( "amente", 12, 5, "", methodObject ), + new Among ( "\u00E1vel", -1, 1, "", methodObject ), + new Among ( "\u00EDvel", -1, 1, "", methodObject ), + new Among ( "uci\u00F3n", -1, 3, "", methodObject ), + new Among ( "ico", -1, 1, "", methodObject ), + new Among ( "ismo", -1, 1, "", methodObject ), + new Among ( "oso", -1, 1, "", methodObject ), + new Among ( "amento", -1, 1, "", methodObject ), + new Among ( "imento", -1, 1, "", methodObject ), + new Among ( "ivo", -1, 8, "", methodObject ), + new Among ( "a\u00E7a~o", -1, 1, "", methodObject ), + new Among ( "ador", -1, 1, "", methodObject ), + new Among ( "icas", -1, 1, "", methodObject ), + new Among ( "\u00EAncias", -1, 4, "", methodObject ), + new Among ( "iras", -1, 9, "", methodObject ), + new Among ( "adoras", -1, 1, "", methodObject ), + new Among ( "osas", -1, 1, "", methodObject ), + new Among ( "istas", -1, 1, "", methodObject ), + new Among ( "ivas", -1, 8, "", methodObject ), + new Among ( "ezas", -1, 1, "", methodObject ), + new Among ( "log\u00EDas", -1, 2, "", methodObject ), + new Among ( "idades", -1, 7, "", methodObject ), + new Among ( "uciones", -1, 3, "", methodObject ), + new Among ( "adores", -1, 1, "", methodObject ), + new Among ( "antes", -1, 1, "", methodObject ), + new Among ( "a\u00E7o~es", -1, 1, "", methodObject ), + new Among ( "icos", -1, 1, "", methodObject ), + new Among ( "ismos", -1, 1, "", methodObject ), + new Among ( "osos", -1, 1, "", methodObject ), + new Among ( "amentos", -1, 1, "", methodObject ), + new Among ( "imentos", -1, 1, "", methodObject ), + new Among ( "ivos", -1, 8, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "ada", -1, 1, "", methodObject ), + new Among ( "ida", -1, 1, "", methodObject ), + new Among ( "ia", -1, 1, "", methodObject ), + new Among ( "aria", 2, 1, "", methodObject ), + new Among ( "eria", 2, 1, "", methodObject ), + new Among ( "iria", 2, 1, "", methodObject ), + new Among ( "ara", -1, 1, "", methodObject ), + new Among ( "era", -1, 1, "", methodObject ), + new Among ( "ira", -1, 1, "", methodObject ), + new Among ( "ava", -1, 1, "", methodObject ), + new Among ( "asse", -1, 1, "", methodObject ), + new Among ( "esse", -1, 1, "", methodObject ), + new Among ( "isse", -1, 1, "", methodObject ), + new Among ( "aste", -1, 1, "", methodObject ), + new Among ( "este", -1, 1, "", methodObject ), + new Among ( "iste", -1, 1, "", methodObject ), + new Among ( "ei", -1, 1, "", methodObject ), + new Among ( "arei", 16, 1, "", methodObject ), + new Among ( "erei", 16, 1, "", methodObject ), + new Among ( "irei", 16, 1, "", methodObject ), + new Among ( "am", -1, 1, "", methodObject ), + new Among ( "iam", 20, 1, "", methodObject ), + new Among ( "ariam", 21, 1, "", methodObject ), + new Among ( "eriam", 21, 1, "", methodObject ), + new Among ( "iriam", 21, 1, "", methodObject ), + new Among ( "aram", 20, 1, "", methodObject ), + new Among ( "eram", 20, 1, "", methodObject ), + new Among ( "iram", 20, 1, "", methodObject ), + new Among ( "avam", 20, 1, "", methodObject ), + new Among ( "em", -1, 1, "", methodObject ), + new Among ( "arem", 29, 1, "", methodObject ), + new Among ( "erem", 29, 1, "", methodObject ), + new Among ( "irem", 29, 1, "", methodObject ), + new Among ( "assem", 29, 1, "", methodObject ), + new Among ( "essem", 29, 1, "", methodObject ), + new Among ( "issem", 29, 1, "", methodObject ), + new Among ( "ado", -1, 1, "", methodObject ), + new Among ( "ido", -1, 1, "", methodObject ), + new Among ( "ando", -1, 1, "", methodObject ), + new Among ( "endo", -1, 1, "", methodObject ), + new Among ( "indo", -1, 1, "", methodObject ), + new Among ( "ara~o", -1, 1, "", methodObject ), + new Among ( "era~o", -1, 1, "", methodObject ), + new Among ( "ira~o", -1, 1, "", methodObject ), + new Among ( "ar", -1, 1, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "ir", -1, 1, "", methodObject ), + new Among ( "as", -1, 1, "", methodObject ), + new Among ( "adas", 47, 1, "", methodObject ), + new Among ( "idas", 47, 1, "", methodObject ), + new Among ( "ias", 47, 1, "", methodObject ), + new Among ( "arias", 50, 1, "", methodObject ), + new Among ( "erias", 50, 1, "", methodObject ), + new Among ( "irias", 50, 1, "", methodObject ), + new Among ( "aras", 47, 1, "", methodObject ), + new Among ( "eras", 47, 1, "", methodObject ), + new Among ( "iras", 47, 1, "", methodObject ), + new Among ( "avas", 47, 1, "", methodObject ), + new Among ( "es", -1, 1, "", methodObject ), + new Among ( "ardes", 58, 1, "", methodObject ), + new Among ( "erdes", 58, 1, "", methodObject ), + new Among ( "irdes", 58, 1, "", methodObject ), + new Among ( "ares", 58, 1, "", methodObject ), + new Among ( "eres", 58, 1, "", methodObject ), + new Among ( "ires", 58, 1, "", methodObject ), + new Among ( "asses", 58, 1, "", methodObject ), + new Among ( "esses", 58, 1, "", methodObject ), + new Among ( "isses", 58, 1, "", methodObject ), + new Among ( "astes", 58, 1, "", methodObject ), + new Among ( "estes", 58, 1, "", methodObject ), + new Among ( "istes", 58, 1, "", methodObject ), + new Among ( "is", -1, 1, "", methodObject ), + new Among ( "ais", 71, 1, "", methodObject ), + new Among ( "eis", 71, 1, "", methodObject ), + new Among ( "areis", 73, 1, "", methodObject ), + new Among ( "ereis", 73, 1, "", methodObject ), + new Among ( "ireis", 73, 1, "", methodObject ), + new Among ( "\u00E1reis", 73, 1, "", methodObject ), + new Among ( "\u00E9reis", 73, 1, "", methodObject ), + new Among ( "\u00EDreis", 73, 1, "", methodObject ), + new Among ( "\u00E1sseis", 73, 1, "", methodObject ), + new Among ( "\u00E9sseis", 73, 1, "", methodObject ), + new Among ( "\u00EDsseis", 73, 1, "", methodObject ), + new Among ( "\u00E1veis", 73, 1, "", methodObject ), + new Among ( "\u00EDeis", 73, 1, "", methodObject ), + new Among ( "ar\u00EDeis", 84, 1, "", methodObject ), + new Among ( "er\u00EDeis", 84, 1, "", methodObject ), + new Among ( "ir\u00EDeis", 84, 1, "", methodObject ), + new Among ( "ados", -1, 1, "", methodObject ), + new Among ( "idos", -1, 1, "", methodObject ), + new Among ( "amos", -1, 1, "", methodObject ), + new Among ( "\u00E1ramos", 90, 1, "", methodObject ), + new Among ( "\u00E9ramos", 90, 1, "", methodObject ), + new Among ( "\u00EDramos", 90, 1, "", methodObject ), + new Among ( "\u00E1vamos", 90, 1, "", methodObject ), + new Among ( "\u00EDamos", 90, 1, "", methodObject ), + new Among ( "ar\u00EDamos", 95, 1, "", methodObject ), + new Among ( "er\u00EDamos", 95, 1, "", methodObject ), + new Among ( "ir\u00EDamos", 95, 1, "", methodObject ), + new Among ( "emos", -1, 1, "", methodObject ), + new Among ( "aremos", 99, 1, "", methodObject ), + new Among ( "eremos", 99, 1, "", methodObject ), + new Among ( "iremos", 99, 1, "", methodObject ), + new Among ( "\u00E1ssemos", 99, 1, "", methodObject ), + new Among ( "\u00EAssemos", 99, 1, "", methodObject ), + new Among ( "\u00EDssemos", 99, 1, "", methodObject ), + new Among ( "imos", -1, 1, "", methodObject ), + new Among ( "armos", -1, 1, "", methodObject ), + new Among ( "ermos", -1, 1, "", methodObject ), + new Among ( "irmos", -1, 1, "", methodObject ), + new Among ( "\u00E1mos", -1, 1, "", methodObject ), + new Among ( "ar\u00E1s", -1, 1, "", methodObject ), + new Among ( "er\u00E1s", -1, 1, "", methodObject ), + new Among ( "ir\u00E1s", -1, 1, "", methodObject ), + new Among ( "eu", -1, 1, "", methodObject ), + new Among ( "iu", -1, 1, "", methodObject ), + new Among ( "ou", -1, 1, "", methodObject ), + new Among ( "ar\u00E1", -1, 1, "", methodObject ), + new Among ( "er\u00E1", -1, 1, "", methodObject ), + new Among ( "ir\u00E1", -1, 1, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "a", -1, 1, "", methodObject ), + new Among ( "i", -1, 1, "", methodObject ), + new Among ( "o", -1, 1, "", methodObject ), + new Among ( "os", -1, 1, "", methodObject ), + new Among ( "\u00E1", -1, 1, "", methodObject ), + new Among ( "\u00ED", -1, 1, "", methodObject ), + new Among ( "\u00F3", -1, 1, "", methodObject ) + }; + + private final static Among a_8[] = { + new Among ( "e", -1, 1, "", methodObject ), + new Among ( "\u00E7", -1, 2, "", methodObject ), + new Among ( "\u00E9", -1, 1, "", methodObject ), + new Among ( "\u00EA", -1, 1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 19, 12, 2 }; + + private int I_p2; + private int I_p1; + private int I_pV; + + private void copy_from(portugueseStemmer other) { + I_p2 = other.I_p2; + I_p1 = other.I_p1; + I_pV = other.I_pV; + super.copy_from(other); + } + + private boolean r_prelude() { + int among_var; + int v_1; + // repeat, line 36 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 36 + // [, line 37 + bra = cursor; + // substring, line 37 + among_var = find_among(a_0, 3); + if (among_var == 0) + { + break lab1; + } + // ], line 37 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 38 + // <-, line 38 + slice_from("a~"); + break; + case 2: + // (, line 39 + // <-, line 39 + slice_from("o~"); + break; + case 3: + // (, line 40 + // next, line 40 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + int v_3; + int v_6; + int v_8; + // (, line 44 + I_pV = limit; + I_p1 = limit; + I_p2 = limit; + // do, line 50 + v_1 = cursor; + lab0: do { + // (, line 50 + // or, line 52 + lab1: do { + v_2 = cursor; + lab2: do { + // (, line 51 + if (!(in_grouping(g_v, 97, 250))) + { + break lab2; + } + // or, line 51 + lab3: do { + v_3 = cursor; + lab4: do { + // (, line 51 + if (!(out_grouping(g_v, 97, 250))) + { + break lab4; + } + // gopast, line 51 + golab5: while(true) + { + lab6: do { + if (!(in_grouping(g_v, 97, 250))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + break lab4; + } + cursor++; + } + break lab3; + } while (false); + cursor = v_3; + // (, line 51 + if (!(in_grouping(g_v, 97, 250))) + { + break lab2; + } + // gopast, line 51 + golab7: while(true) + { + lab8: do { + if (!(out_grouping(g_v, 97, 250))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab2; + } + cursor++; + } + } while (false); + break lab1; + } while (false); + cursor = v_2; + // (, line 53 + if (!(out_grouping(g_v, 97, 250))) + { + break lab0; + } + // or, line 53 + lab9: do { + v_6 = cursor; + lab10: do { + // (, line 53 + if (!(out_grouping(g_v, 97, 250))) + { + break lab10; + } + // gopast, line 53 + golab11: while(true) + { + lab12: do { + if (!(in_grouping(g_v, 97, 250))) + { + break lab12; + } + break golab11; + } while (false); + if (cursor >= limit) + { + break lab10; + } + cursor++; + } + break lab9; + } while (false); + cursor = v_6; + // (, line 53 + if (!(in_grouping(g_v, 97, 250))) + { + break lab0; + } + // next, line 53 + if (cursor >= limit) + { + break lab0; + } + cursor++; + } while (false); + } while (false); + // setmark pV, line 54 + I_pV = cursor; + } while (false); + cursor = v_1; + // do, line 56 + v_8 = cursor; + lab13: do { + // (, line 56 + // gopast, line 57 + golab14: while(true) + { + lab15: do { + if (!(in_grouping(g_v, 97, 250))) + { + break lab15; + } + break golab14; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 57 + golab16: while(true) + { + lab17: do { + if (!(out_grouping(g_v, 97, 250))) + { + break lab17; + } + break golab16; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p1, line 57 + I_p1 = cursor; + // gopast, line 58 + golab18: while(true) + { + lab19: do { + if (!(in_grouping(g_v, 97, 250))) + { + break lab19; + } + break golab18; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 58 + golab20: while(true) + { + lab21: do { + if (!(out_grouping(g_v, 97, 250))) + { + break lab21; + } + break golab20; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p2, line 58 + I_p2 = cursor; + } while (false); + cursor = v_8; + return true; + } + + private boolean r_postlude() { + int among_var; + int v_1; + // repeat, line 62 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 62 + // [, line 63 + bra = cursor; + // substring, line 63 + among_var = find_among(a_1, 3); + if (among_var == 0) + { + break lab1; + } + // ], line 63 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 64 + // <-, line 64 + slice_from("\u00E3"); + break; + case 2: + // (, line 65 + // <-, line 65 + slice_from("\u00F5"); + break; + case 3: + // (, line 66 + // next, line 66 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_RV() { + if (!(I_pV <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_standard_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 76 + // [, line 77 + ket = cursor; + // substring, line 77 + among_var = find_among_b(a_5, 45); + if (among_var == 0) + { + return false; + } + // ], line 77 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 92 + // call R2, line 93 + if (!r_R2()) + { + return false; + } + // delete, line 93 + slice_del(); + break; + case 2: + // (, line 97 + // call R2, line 98 + if (!r_R2()) + { + return false; + } + // <-, line 98 + slice_from("log"); + break; + case 3: + // (, line 101 + // call R2, line 102 + if (!r_R2()) + { + return false; + } + // <-, line 102 + slice_from("u"); + break; + case 4: + // (, line 105 + // call R2, line 106 + if (!r_R2()) + { + return false; + } + // <-, line 106 + slice_from("ente"); + break; + case 5: + // (, line 109 + // call R1, line 110 + if (!r_R1()) + { + return false; + } + // delete, line 110 + slice_del(); + // try, line 111 + v_1 = limit - cursor; + lab0: do { + // (, line 111 + // [, line 112 + ket = cursor; + // substring, line 112 + among_var = find_among_b(a_2, 4); + if (among_var == 0) + { + cursor = limit - v_1; + break lab0; + } + // ], line 112 + bra = cursor; + // call R2, line 112 + if (!r_R2()) + { + cursor = limit - v_1; + break lab0; + } + // delete, line 112 + slice_del(); + switch(among_var) { + case 0: + cursor = limit - v_1; + break lab0; + case 1: + // (, line 113 + // [, line 113 + ket = cursor; + // literal, line 113 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 113 + bra = cursor; + // call R2, line 113 + if (!r_R2()) + { + cursor = limit - v_1; + break lab0; + } + // delete, line 113 + slice_del(); + break; + } + } while (false); + break; + case 6: + // (, line 121 + // call R2, line 122 + if (!r_R2()) + { + return false; + } + // delete, line 122 + slice_del(); + // try, line 123 + v_2 = limit - cursor; + lab1: do { + // (, line 123 + // [, line 124 + ket = cursor; + // substring, line 124 + among_var = find_among_b(a_3, 3); + if (among_var == 0) + { + cursor = limit - v_2; + break lab1; + } + // ], line 124 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_2; + break lab1; + case 1: + // (, line 127 + // call R2, line 127 + if (!r_R2()) + { + cursor = limit - v_2; + break lab1; + } + // delete, line 127 + slice_del(); + break; + } + } while (false); + break; + case 7: + // (, line 133 + // call R2, line 134 + if (!r_R2()) + { + return false; + } + // delete, line 134 + slice_del(); + // try, line 135 + v_3 = limit - cursor; + lab2: do { + // (, line 135 + // [, line 136 + ket = cursor; + // substring, line 136 + among_var = find_among_b(a_4, 3); + if (among_var == 0) + { + cursor = limit - v_3; + break lab2; + } + // ], line 136 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_3; + break lab2; + case 1: + // (, line 139 + // call R2, line 139 + if (!r_R2()) + { + cursor = limit - v_3; + break lab2; + } + // delete, line 139 + slice_del(); + break; + } + } while (false); + break; + case 8: + // (, line 145 + // call R2, line 146 + if (!r_R2()) + { + return false; + } + // delete, line 146 + slice_del(); + // try, line 147 + v_4 = limit - cursor; + lab3: do { + // (, line 147 + // [, line 148 + ket = cursor; + // literal, line 148 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_4; + break lab3; + } + // ], line 148 + bra = cursor; + // call R2, line 148 + if (!r_R2()) + { + cursor = limit - v_4; + break lab3; + } + // delete, line 148 + slice_del(); + } while (false); + break; + case 9: + // (, line 152 + // call RV, line 153 + if (!r_RV()) + { + return false; + } + // literal, line 153 + if (!(eq_s_b(1, "e"))) + { + return false; + } + // <-, line 154 + slice_from("ir"); + break; + } + return true; + } + + private boolean r_verb_suffix() { + int among_var; + int v_1; + int v_2; + // setlimit, line 159 + v_1 = limit - cursor; + // tomark, line 159 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 159 + // [, line 160 + ket = cursor; + // substring, line 160 + among_var = find_among_b(a_6, 120); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 160 + bra = cursor; + switch(among_var) { + case 0: + limit_backward = v_2; + return false; + case 1: + // (, line 179 + // delete, line 179 + slice_del(); + break; + } + limit_backward = v_2; + return true; + } + + private boolean r_residual_suffix() { + int among_var; + // (, line 183 + // [, line 184 + ket = cursor; + // substring, line 184 + among_var = find_among_b(a_7, 7); + if (among_var == 0) + { + return false; + } + // ], line 184 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 187 + // call RV, line 187 + if (!r_RV()) + { + return false; + } + // delete, line 187 + slice_del(); + break; + } + return true; + } + + private boolean r_residual_form() { + int among_var; + int v_1; + int v_2; + int v_3; + // (, line 191 + // [, line 192 + ket = cursor; + // substring, line 192 + among_var = find_among_b(a_8, 4); + if (among_var == 0) + { + return false; + } + // ], line 192 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 194 + // call RV, line 194 + if (!r_RV()) + { + return false; + } + // delete, line 194 + slice_del(); + // [, line 194 + ket = cursor; + // or, line 194 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 194 + // literal, line 194 + if (!(eq_s_b(1, "u"))) + { + break lab1; + } + // ], line 194 + bra = cursor; + // test, line 194 + v_2 = limit - cursor; + // literal, line 194 + if (!(eq_s_b(1, "g"))) + { + break lab1; + } + cursor = limit - v_2; + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 195 + // literal, line 195 + if (!(eq_s_b(1, "i"))) + { + return false; + } + // ], line 195 + bra = cursor; + // test, line 195 + v_3 = limit - cursor; + // literal, line 195 + if (!(eq_s_b(1, "c"))) + { + return false; + } + cursor = limit - v_3; + } while (false); + // call RV, line 195 + if (!r_RV()) + { + return false; + } + // delete, line 195 + slice_del(); + break; + case 2: + // (, line 196 + // <-, line 196 + slice_from("c"); + break; + } + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + // (, line 201 + // do, line 202 + v_1 = cursor; + lab0: do { + // call prelude, line 202 + if (!r_prelude()) + { + break lab0; + } + } while (false); + cursor = v_1; + // do, line 203 + v_2 = cursor; + lab1: do { + // call mark_regions, line 203 + if (!r_mark_regions()) + { + break lab1; + } + } while (false); + cursor = v_2; + // backwards, line 204 + limit_backward = cursor; cursor = limit; + // (, line 204 + // do, line 205 + v_3 = limit - cursor; + lab2: do { + // (, line 205 + // or, line 209 + lab3: do { + v_4 = limit - cursor; + lab4: do { + // (, line 206 + // and, line 207 + v_5 = limit - cursor; + // (, line 206 + // or, line 206 + lab5: do { + v_6 = limit - cursor; + lab6: do { + // call standard_suffix, line 206 + if (!r_standard_suffix()) + { + break lab6; + } + break lab5; + } while (false); + cursor = limit - v_6; + // call verb_suffix, line 206 + if (!r_verb_suffix()) + { + break lab4; + } + } while (false); + cursor = limit - v_5; + // do, line 207 + v_7 = limit - cursor; + lab7: do { + // (, line 207 + // [, line 207 + ket = cursor; + // literal, line 207 + if (!(eq_s_b(1, "i"))) + { + break lab7; + } + // ], line 207 + bra = cursor; + // test, line 207 + v_8 = limit - cursor; + // literal, line 207 + if (!(eq_s_b(1, "c"))) + { + break lab7; + } + cursor = limit - v_8; + // call RV, line 207 + if (!r_RV()) + { + break lab7; + } + // delete, line 207 + slice_del(); + } while (false); + cursor = limit - v_7; + break lab3; + } while (false); + cursor = limit - v_4; + // call residual_suffix, line 209 + if (!r_residual_suffix()) + { + break lab2; + } + } while (false); + } while (false); + cursor = limit - v_3; + // do, line 211 + v_9 = limit - cursor; + lab8: do { + // call residual_form, line 211 + if (!r_residual_form()) + { + break lab8; + } + } while (false); + cursor = limit - v_9; + cursor = limit_backward; // do, line 213 + v_10 = cursor; + lab9: do { + // call postlude, line 213 + if (!r_postlude()) + { + break lab9; + } + } while (false); + cursor = v_10; + return true; + } + + public boolean equals( Object o ) { + return o instanceof portugueseStemmer; + } + + public int hashCode() { + return portugueseStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/romanianStemmer.java b/lib/org/tartarus/snowball/ext/romanianStemmer.java new file mode 100644 index 00000000..7ccdd4f9 --- /dev/null +++ b/lib/org/tartarus/snowball/ext/romanianStemmer.java @@ -0,0 +1,1040 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class romanianStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static romanianStemmer methodObject = new romanianStemmer (); + + private final static Among a_0[] = { + new Among ( "", -1, 3, "", methodObject ), + new Among ( "I", 0, 1, "", methodObject ), + new Among ( "U", 0, 2, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "ea", -1, 3, "", methodObject ), + new Among ( "a\u0163ia", -1, 7, "", methodObject ), + new Among ( "aua", -1, 2, "", methodObject ), + new Among ( "iua", -1, 4, "", methodObject ), + new Among ( "a\u0163ie", -1, 7, "", methodObject ), + new Among ( "ele", -1, 3, "", methodObject ), + new Among ( "ile", -1, 5, "", methodObject ), + new Among ( "iile", 6, 4, "", methodObject ), + new Among ( "iei", -1, 4, "", methodObject ), + new Among ( "atei", -1, 6, "", methodObject ), + new Among ( "ii", -1, 4, "", methodObject ), + new Among ( "ului", -1, 1, "", methodObject ), + new Among ( "ul", -1, 1, "", methodObject ), + new Among ( "elor", -1, 3, "", methodObject ), + new Among ( "ilor", -1, 4, "", methodObject ), + new Among ( "iilor", 14, 4, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "icala", -1, 4, "", methodObject ), + new Among ( "iciva", -1, 4, "", methodObject ), + new Among ( "ativa", -1, 5, "", methodObject ), + new Among ( "itiva", -1, 6, "", methodObject ), + new Among ( "icale", -1, 4, "", methodObject ), + new Among ( "a\u0163iune", -1, 5, "", methodObject ), + new Among ( "i\u0163iune", -1, 6, "", methodObject ), + new Among ( "atoare", -1, 5, "", methodObject ), + new Among ( "itoare", -1, 6, "", methodObject ), + new Among ( "\u0103toare", -1, 5, "", methodObject ), + new Among ( "icitate", -1, 4, "", methodObject ), + new Among ( "abilitate", -1, 1, "", methodObject ), + new Among ( "ibilitate", -1, 2, "", methodObject ), + new Among ( "ivitate", -1, 3, "", methodObject ), + new Among ( "icive", -1, 4, "", methodObject ), + new Among ( "ative", -1, 5, "", methodObject ), + new Among ( "itive", -1, 6, "", methodObject ), + new Among ( "icali", -1, 4, "", methodObject ), + new Among ( "atori", -1, 5, "", methodObject ), + new Among ( "icatori", 18, 4, "", methodObject ), + new Among ( "itori", -1, 6, "", methodObject ), + new Among ( "\u0103tori", -1, 5, "", methodObject ), + new Among ( "icitati", -1, 4, "", methodObject ), + new Among ( "abilitati", -1, 1, "", methodObject ), + new Among ( "ivitati", -1, 3, "", methodObject ), + new Among ( "icivi", -1, 4, "", methodObject ), + new Among ( "ativi", -1, 5, "", methodObject ), + new Among ( "itivi", -1, 6, "", methodObject ), + new Among ( "icit\u0103i", -1, 4, "", methodObject ), + new Among ( "abilit\u0103i", -1, 1, "", methodObject ), + new Among ( "ivit\u0103i", -1, 3, "", methodObject ), + new Among ( "icit\u0103\u0163i", -1, 4, "", methodObject ), + new Among ( "abilit\u0103\u0163i", -1, 1, "", methodObject ), + new Among ( "ivit\u0103\u0163i", -1, 3, "", methodObject ), + new Among ( "ical", -1, 4, "", methodObject ), + new Among ( "ator", -1, 5, "", methodObject ), + new Among ( "icator", 35, 4, "", methodObject ), + new Among ( "itor", -1, 6, "", methodObject ), + new Among ( "\u0103tor", -1, 5, "", methodObject ), + new Among ( "iciv", -1, 4, "", methodObject ), + new Among ( "ativ", -1, 5, "", methodObject ), + new Among ( "itiv", -1, 6, "", methodObject ), + new Among ( "ical\u0103", -1, 4, "", methodObject ), + new Among ( "iciv\u0103", -1, 4, "", methodObject ), + new Among ( "ativ\u0103", -1, 5, "", methodObject ), + new Among ( "itiv\u0103", -1, 6, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "ica", -1, 1, "", methodObject ), + new Among ( "abila", -1, 1, "", methodObject ), + new Among ( "ibila", -1, 1, "", methodObject ), + new Among ( "oasa", -1, 1, "", methodObject ), + new Among ( "ata", -1, 1, "", methodObject ), + new Among ( "ita", -1, 1, "", methodObject ), + new Among ( "anta", -1, 1, "", methodObject ), + new Among ( "ista", -1, 3, "", methodObject ), + new Among ( "uta", -1, 1, "", methodObject ), + new Among ( "iva", -1, 1, "", methodObject ), + new Among ( "ic", -1, 1, "", methodObject ), + new Among ( "ice", -1, 1, "", methodObject ), + new Among ( "abile", -1, 1, "", methodObject ), + new Among ( "ibile", -1, 1, "", methodObject ), + new Among ( "isme", -1, 3, "", methodObject ), + new Among ( "iune", -1, 2, "", methodObject ), + new Among ( "oase", -1, 1, "", methodObject ), + new Among ( "ate", -1, 1, "", methodObject ), + new Among ( "itate", 17, 1, "", methodObject ), + new Among ( "ite", -1, 1, "", methodObject ), + new Among ( "ante", -1, 1, "", methodObject ), + new Among ( "iste", -1, 3, "", methodObject ), + new Among ( "ute", -1, 1, "", methodObject ), + new Among ( "ive", -1, 1, "", methodObject ), + new Among ( "ici", -1, 1, "", methodObject ), + new Among ( "abili", -1, 1, "", methodObject ), + new Among ( "ibili", -1, 1, "", methodObject ), + new Among ( "iuni", -1, 2, "", methodObject ), + new Among ( "atori", -1, 1, "", methodObject ), + new Among ( "osi", -1, 1, "", methodObject ), + new Among ( "ati", -1, 1, "", methodObject ), + new Among ( "itati", 30, 1, "", methodObject ), + new Among ( "iti", -1, 1, "", methodObject ), + new Among ( "anti", -1, 1, "", methodObject ), + new Among ( "isti", -1, 3, "", methodObject ), + new Among ( "uti", -1, 1, "", methodObject ), + new Among ( "i\u015Fti", -1, 3, "", methodObject ), + new Among ( "ivi", -1, 1, "", methodObject ), + new Among ( "it\u0103i", -1, 1, "", methodObject ), + new Among ( "o\u015Fi", -1, 1, "", methodObject ), + new Among ( "it\u0103\u0163i", -1, 1, "", methodObject ), + new Among ( "abil", -1, 1, "", methodObject ), + new Among ( "ibil", -1, 1, "", methodObject ), + new Among ( "ism", -1, 3, "", methodObject ), + new Among ( "ator", -1, 1, "", methodObject ), + new Among ( "os", -1, 1, "", methodObject ), + new Among ( "at", -1, 1, "", methodObject ), + new Among ( "it", -1, 1, "", methodObject ), + new Among ( "ant", -1, 1, "", methodObject ), + new Among ( "ist", -1, 3, "", methodObject ), + new Among ( "ut", -1, 1, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ), + new Among ( "ic\u0103", -1, 1, "", methodObject ), + new Among ( "abil\u0103", -1, 1, "", methodObject ), + new Among ( "ibil\u0103", -1, 1, "", methodObject ), + new Among ( "oas\u0103", -1, 1, "", methodObject ), + new Among ( "at\u0103", -1, 1, "", methodObject ), + new Among ( "it\u0103", -1, 1, "", methodObject ), + new Among ( "ant\u0103", -1, 1, "", methodObject ), + new Among ( "ist\u0103", -1, 3, "", methodObject ), + new Among ( "ut\u0103", -1, 1, "", methodObject ), + new Among ( "iv\u0103", -1, 1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "ea", -1, 1, "", methodObject ), + new Among ( "ia", -1, 1, "", methodObject ), + new Among ( "esc", -1, 1, "", methodObject ), + new Among ( "\u0103sc", -1, 1, "", methodObject ), + new Among ( "ind", -1, 1, "", methodObject ), + new Among ( "\u00E2nd", -1, 1, "", methodObject ), + new Among ( "are", -1, 1, "", methodObject ), + new Among ( "ere", -1, 1, "", methodObject ), + new Among ( "ire", -1, 1, "", methodObject ), + new Among ( "\u00E2re", -1, 1, "", methodObject ), + new Among ( "se", -1, 2, "", methodObject ), + new Among ( "ase", 10, 1, "", methodObject ), + new Among ( "sese", 10, 2, "", methodObject ), + new Among ( "ise", 10, 1, "", methodObject ), + new Among ( "use", 10, 1, "", methodObject ), + new Among ( "\u00E2se", 10, 1, "", methodObject ), + new Among ( "e\u015Fte", -1, 1, "", methodObject ), + new Among ( "\u0103\u015Fte", -1, 1, "", methodObject ), + new Among ( "eze", -1, 1, "", methodObject ), + new Among ( "ai", -1, 1, "", methodObject ), + new Among ( "eai", 19, 1, "", methodObject ), + new Among ( "iai", 19, 1, "", methodObject ), + new Among ( "sei", -1, 2, "", methodObject ), + new Among ( "e\u015Fti", -1, 1, "", methodObject ), + new Among ( "\u0103\u015Fti", -1, 1, "", methodObject ), + new Among ( "ui", -1, 1, "", methodObject ), + new Among ( "ezi", -1, 1, "", methodObject ), + new Among ( "\u00E2i", -1, 1, "", methodObject ), + new Among ( "a\u015Fi", -1, 1, "", methodObject ), + new Among ( "se\u015Fi", -1, 2, "", methodObject ), + new Among ( "ase\u015Fi", 29, 1, "", methodObject ), + new Among ( "sese\u015Fi", 29, 2, "", methodObject ), + new Among ( "ise\u015Fi", 29, 1, "", methodObject ), + new Among ( "use\u015Fi", 29, 1, "", methodObject ), + new Among ( "\u00E2se\u015Fi", 29, 1, "", methodObject ), + new Among ( "i\u015Fi", -1, 1, "", methodObject ), + new Among ( "u\u015Fi", -1, 1, "", methodObject ), + new Among ( "\u00E2\u015Fi", -1, 1, "", methodObject ), + new Among ( "a\u0163i", -1, 2, "", methodObject ), + new Among ( "ea\u0163i", 38, 1, "", methodObject ), + new Among ( "ia\u0163i", 38, 1, "", methodObject ), + new Among ( "e\u0163i", -1, 2, "", methodObject ), + new Among ( "i\u0163i", -1, 2, "", methodObject ), + new Among ( "\u00E2\u0163i", -1, 2, "", methodObject ), + new Among ( "ar\u0103\u0163i", -1, 1, "", methodObject ), + new Among ( "ser\u0103\u0163i", -1, 2, "", methodObject ), + new Among ( "aser\u0103\u0163i", 45, 1, "", methodObject ), + new Among ( "seser\u0103\u0163i", 45, 2, "", methodObject ), + new Among ( "iser\u0103\u0163i", 45, 1, "", methodObject ), + new Among ( "user\u0103\u0163i", 45, 1, "", methodObject ), + new Among ( "\u00E2ser\u0103\u0163i", 45, 1, "", methodObject ), + new Among ( "ir\u0103\u0163i", -1, 1, "", methodObject ), + new Among ( "ur\u0103\u0163i", -1, 1, "", methodObject ), + new Among ( "\u00E2r\u0103\u0163i", -1, 1, "", methodObject ), + new Among ( "am", -1, 1, "", methodObject ), + new Among ( "eam", 54, 1, "", methodObject ), + new Among ( "iam", 54, 1, "", methodObject ), + new Among ( "em", -1, 2, "", methodObject ), + new Among ( "asem", 57, 1, "", methodObject ), + new Among ( "sesem", 57, 2, "", methodObject ), + new Among ( "isem", 57, 1, "", methodObject ), + new Among ( "usem", 57, 1, "", methodObject ), + new Among ( "\u00E2sem", 57, 1, "", methodObject ), + new Among ( "im", -1, 2, "", methodObject ), + new Among ( "\u00E2m", -1, 2, "", methodObject ), + new Among ( "\u0103m", -1, 2, "", methodObject ), + new Among ( "ar\u0103m", 65, 1, "", methodObject ), + new Among ( "ser\u0103m", 65, 2, "", methodObject ), + new Among ( "aser\u0103m", 67, 1, "", methodObject ), + new Among ( "seser\u0103m", 67, 2, "", methodObject ), + new Among ( "iser\u0103m", 67, 1, "", methodObject ), + new Among ( "user\u0103m", 67, 1, "", methodObject ), + new Among ( "\u00E2ser\u0103m", 67, 1, "", methodObject ), + new Among ( "ir\u0103m", 65, 1, "", methodObject ), + new Among ( "ur\u0103m", 65, 1, "", methodObject ), + new Among ( "\u00E2r\u0103m", 65, 1, "", methodObject ), + new Among ( "au", -1, 1, "", methodObject ), + new Among ( "eau", 76, 1, "", methodObject ), + new Among ( "iau", 76, 1, "", methodObject ), + new Among ( "indu", -1, 1, "", methodObject ), + new Among ( "\u00E2ndu", -1, 1, "", methodObject ), + new Among ( "ez", -1, 1, "", methodObject ), + new Among ( "easc\u0103", -1, 1, "", methodObject ), + new Among ( "ar\u0103", -1, 1, "", methodObject ), + new Among ( "ser\u0103", -1, 2, "", methodObject ), + new Among ( "aser\u0103", 84, 1, "", methodObject ), + new Among ( "seser\u0103", 84, 2, "", methodObject ), + new Among ( "iser\u0103", 84, 1, "", methodObject ), + new Among ( "user\u0103", 84, 1, "", methodObject ), + new Among ( "\u00E2ser\u0103", 84, 1, "", methodObject ), + new Among ( "ir\u0103", -1, 1, "", methodObject ), + new Among ( "ur\u0103", -1, 1, "", methodObject ), + new Among ( "\u00E2r\u0103", -1, 1, "", methodObject ), + new Among ( "eaz\u0103", -1, 1, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "a", -1, 1, "", methodObject ), + new Among ( "e", -1, 1, "", methodObject ), + new Among ( "ie", 1, 1, "", methodObject ), + new Among ( "i", -1, 1, "", methodObject ), + new Among ( "\u0103", -1, 1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 32, 0, 0, 4 }; + + private boolean B_standard_suffix_removed; + private int I_p2; + private int I_p1; + private int I_pV; + + private void copy_from(romanianStemmer other) { + B_standard_suffix_removed = other.B_standard_suffix_removed; + I_p2 = other.I_p2; + I_p1 = other.I_p1; + I_pV = other.I_pV; + super.copy_from(other); + } + + private boolean r_prelude() { + int v_1; + int v_2; + int v_3; + // (, line 31 + // repeat, line 32 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // goto, line 32 + golab2: while(true) + { + v_2 = cursor; + lab3: do { + // (, line 32 + if (!(in_grouping(g_v, 97, 259))) + { + break lab3; + } + // [, line 33 + bra = cursor; + // or, line 33 + lab4: do { + v_3 = cursor; + lab5: do { + // (, line 33 + // literal, line 33 + if (!(eq_s(1, "u"))) + { + break lab5; + } + // ], line 33 + ket = cursor; + if (!(in_grouping(g_v, 97, 259))) + { + break lab5; + } + // <-, line 33 + slice_from("U"); + break lab4; + } while (false); + cursor = v_3; + // (, line 34 + // literal, line 34 + if (!(eq_s(1, "i"))) + { + break lab3; + } + // ], line 34 + ket = cursor; + if (!(in_grouping(g_v, 97, 259))) + { + break lab3; + } + // <-, line 34 + slice_from("I"); + } while (false); + cursor = v_2; + break golab2; + } while (false); + cursor = v_2; + if (cursor >= limit) + { + break lab1; + } + cursor++; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + int v_3; + int v_6; + int v_8; + // (, line 38 + I_pV = limit; + I_p1 = limit; + I_p2 = limit; + // do, line 44 + v_1 = cursor; + lab0: do { + // (, line 44 + // or, line 46 + lab1: do { + v_2 = cursor; + lab2: do { + // (, line 45 + if (!(in_grouping(g_v, 97, 259))) + { + break lab2; + } + // or, line 45 + lab3: do { + v_3 = cursor; + lab4: do { + // (, line 45 + if (!(out_grouping(g_v, 97, 259))) + { + break lab4; + } + // gopast, line 45 + golab5: while(true) + { + lab6: do { + if (!(in_grouping(g_v, 97, 259))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + break lab4; + } + cursor++; + } + break lab3; + } while (false); + cursor = v_3; + // (, line 45 + if (!(in_grouping(g_v, 97, 259))) + { + break lab2; + } + // gopast, line 45 + golab7: while(true) + { + lab8: do { + if (!(out_grouping(g_v, 97, 259))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab2; + } + cursor++; + } + } while (false); + break lab1; + } while (false); + cursor = v_2; + // (, line 47 + if (!(out_grouping(g_v, 97, 259))) + { + break lab0; + } + // or, line 47 + lab9: do { + v_6 = cursor; + lab10: do { + // (, line 47 + if (!(out_grouping(g_v, 97, 259))) + { + break lab10; + } + // gopast, line 47 + golab11: while(true) + { + lab12: do { + if (!(in_grouping(g_v, 97, 259))) + { + break lab12; + } + break golab11; + } while (false); + if (cursor >= limit) + { + break lab10; + } + cursor++; + } + break lab9; + } while (false); + cursor = v_6; + // (, line 47 + if (!(in_grouping(g_v, 97, 259))) + { + break lab0; + } + // next, line 47 + if (cursor >= limit) + { + break lab0; + } + cursor++; + } while (false); + } while (false); + // setmark pV, line 48 + I_pV = cursor; + } while (false); + cursor = v_1; + // do, line 50 + v_8 = cursor; + lab13: do { + // (, line 50 + // gopast, line 51 + golab14: while(true) + { + lab15: do { + if (!(in_grouping(g_v, 97, 259))) + { + break lab15; + } + break golab14; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 51 + golab16: while(true) + { + lab17: do { + if (!(out_grouping(g_v, 97, 259))) + { + break lab17; + } + break golab16; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p1, line 51 + I_p1 = cursor; + // gopast, line 52 + golab18: while(true) + { + lab19: do { + if (!(in_grouping(g_v, 97, 259))) + { + break lab19; + } + break golab18; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 52 + golab20: while(true) + { + lab21: do { + if (!(out_grouping(g_v, 97, 259))) + { + break lab21; + } + break golab20; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p2, line 52 + I_p2 = cursor; + } while (false); + cursor = v_8; + return true; + } + + private boolean r_postlude() { + int among_var; + int v_1; + // repeat, line 56 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 56 + // [, line 58 + bra = cursor; + // substring, line 58 + among_var = find_among(a_0, 3); + if (among_var == 0) + { + break lab1; + } + // ], line 58 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 59 + // <-, line 59 + slice_from("i"); + break; + case 2: + // (, line 60 + // <-, line 60 + slice_from("u"); + break; + case 3: + // (, line 61 + // next, line 61 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_RV() { + if (!(I_pV <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_step_0() { + int among_var; + int v_1; + // (, line 72 + // [, line 73 + ket = cursor; + // substring, line 73 + among_var = find_among_b(a_1, 16); + if (among_var == 0) + { + return false; + } + // ], line 73 + bra = cursor; + // call R1, line 73 + if (!r_R1()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 75 + // delete, line 75 + slice_del(); + break; + case 2: + // (, line 77 + // <-, line 77 + slice_from("a"); + break; + case 3: + // (, line 79 + // <-, line 79 + slice_from("e"); + break; + case 4: + // (, line 81 + // <-, line 81 + slice_from("i"); + break; + case 5: + // (, line 83 + // not, line 83 + { + v_1 = limit - cursor; + lab0: do { + // literal, line 83 + if (!(eq_s_b(2, "ab"))) + { + break lab0; + } + return false; + } while (false); + cursor = limit - v_1; + } + // <-, line 83 + slice_from("i"); + break; + case 6: + // (, line 85 + // <-, line 85 + slice_from("at"); + break; + case 7: + // (, line 87 + // <-, line 87 + slice_from("a\u0163i"); + break; + } + return true; + } + + private boolean r_combo_suffix() { + int among_var; + int v_1; + // test, line 91 + v_1 = limit - cursor; + // (, line 91 + // [, line 92 + ket = cursor; + // substring, line 92 + among_var = find_among_b(a_2, 46); + if (among_var == 0) + { + return false; + } + // ], line 92 + bra = cursor; + // call R1, line 92 + if (!r_R1()) + { + return false; + } + // (, line 92 + switch(among_var) { + case 0: + return false; + case 1: + // (, line 100 + // <-, line 101 + slice_from("abil"); + break; + case 2: + // (, line 103 + // <-, line 104 + slice_from("ibil"); + break; + case 3: + // (, line 106 + // <-, line 107 + slice_from("iv"); + break; + case 4: + // (, line 112 + // <-, line 113 + slice_from("ic"); + break; + case 5: + // (, line 117 + // <-, line 118 + slice_from("at"); + break; + case 6: + // (, line 121 + // <-, line 122 + slice_from("it"); + break; + } + // set standard_suffix_removed, line 125 + B_standard_suffix_removed = true; + cursor = limit - v_1; + return true; + } + + private boolean r_standard_suffix() { + int among_var; + int v_1; + // (, line 129 + // unset standard_suffix_removed, line 130 + B_standard_suffix_removed = false; + // repeat, line 131 + replab0: while(true) + { + v_1 = limit - cursor; + lab1: do { + // call combo_suffix, line 131 + if (!r_combo_suffix()) + { + break lab1; + } + continue replab0; + } while (false); + cursor = limit - v_1; + break replab0; + } + // [, line 132 + ket = cursor; + // substring, line 132 + among_var = find_among_b(a_3, 62); + if (among_var == 0) + { + return false; + } + // ], line 132 + bra = cursor; + // call R2, line 132 + if (!r_R2()) + { + return false; + } + // (, line 132 + switch(among_var) { + case 0: + return false; + case 1: + // (, line 148 + // delete, line 149 + slice_del(); + break; + case 2: + // (, line 151 + // literal, line 152 + if (!(eq_s_b(1, "\u0163"))) + { + return false; + } + // ], line 152 + bra = cursor; + // <-, line 152 + slice_from("t"); + break; + case 3: + // (, line 155 + // <-, line 156 + slice_from("ist"); + break; + } + // set standard_suffix_removed, line 160 + B_standard_suffix_removed = true; + return true; + } + + private boolean r_verb_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + // setlimit, line 164 + v_1 = limit - cursor; + // tomark, line 164 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 164 + // [, line 165 + ket = cursor; + // substring, line 165 + among_var = find_among_b(a_4, 94); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 165 + bra = cursor; + switch(among_var) { + case 0: + limit_backward = v_2; + return false; + case 1: + // (, line 200 + // or, line 200 + lab0: do { + v_3 = limit - cursor; + lab1: do { + if (!(out_grouping_b(g_v, 97, 259))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_3; + // literal, line 200 + if (!(eq_s_b(1, "u"))) + { + limit_backward = v_2; + return false; + } + } while (false); + // delete, line 200 + slice_del(); + break; + case 2: + // (, line 214 + // delete, line 214 + slice_del(); + break; + } + limit_backward = v_2; + return true; + } + + private boolean r_vowel_suffix() { + int among_var; + // (, line 218 + // [, line 219 + ket = cursor; + // substring, line 219 + among_var = find_among_b(a_5, 5); + if (among_var == 0) + { + return false; + } + // ], line 219 + bra = cursor; + // call RV, line 219 + if (!r_RV()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 220 + // delete, line 220 + slice_del(); + break; + } + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + // (, line 225 + // do, line 226 + v_1 = cursor; + lab0: do { + // call prelude, line 226 + if (!r_prelude()) + { + break lab0; + } + } while (false); + cursor = v_1; + // do, line 227 + v_2 = cursor; + lab1: do { + // call mark_regions, line 227 + if (!r_mark_regions()) + { + break lab1; + } + } while (false); + cursor = v_2; + // backwards, line 228 + limit_backward = cursor; cursor = limit; + // (, line 228 + // do, line 229 + v_3 = limit - cursor; + lab2: do { + // call step_0, line 229 + if (!r_step_0()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 230 + v_4 = limit - cursor; + lab3: do { + // call standard_suffix, line 230 + if (!r_standard_suffix()) + { + break lab3; + } + } while (false); + cursor = limit - v_4; + // do, line 231 + v_5 = limit - cursor; + lab4: do { + // (, line 231 + // or, line 231 + lab5: do { + v_6 = limit - cursor; + lab6: do { + // Boolean test standard_suffix_removed, line 231 + if (!(B_standard_suffix_removed)) + { + break lab6; + } + break lab5; + } while (false); + cursor = limit - v_6; + // call verb_suffix, line 231 + if (!r_verb_suffix()) + { + break lab4; + } + } while (false); + } while (false); + cursor = limit - v_5; + // do, line 232 + v_7 = limit - cursor; + lab7: do { + // call vowel_suffix, line 232 + if (!r_vowel_suffix()) + { + break lab7; + } + } while (false); + cursor = limit - v_7; + cursor = limit_backward; // do, line 234 + v_8 = cursor; + lab8: do { + // call postlude, line 234 + if (!r_postlude()) + { + break lab8; + } + } while (false); + cursor = v_8; + return true; + } + + public boolean equals( Object o ) { + return o instanceof romanianStemmer; + } + + public int hashCode() { + return romanianStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/russianStemmer.java b/lib/org/tartarus/snowball/ext/russianStemmer.java new file mode 100644 index 00000000..23ec4541 --- /dev/null +++ b/lib/org/tartarus/snowball/ext/russianStemmer.java @@ -0,0 +1,743 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class russianStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static russianStemmer methodObject = new russianStemmer (); + + private final static Among a_0[] = { + new Among ( "\u0432", -1, 1, "", methodObject ), + new Among ( "\u0438\u0432", 0, 2, "", methodObject ), + new Among ( "\u044B\u0432", 0, 2, "", methodObject ), + new Among ( "\u0432\u0448\u0438", -1, 1, "", methodObject ), + new Among ( "\u0438\u0432\u0448\u0438", 3, 2, "", methodObject ), + new Among ( "\u044B\u0432\u0448\u0438", 3, 2, "", methodObject ), + new Among ( "\u0432\u0448\u0438\u0441\u044C", -1, 1, "", methodObject ), + new Among ( "\u0438\u0432\u0448\u0438\u0441\u044C", 6, 2, "", methodObject ), + new Among ( "\u044B\u0432\u0448\u0438\u0441\u044C", 6, 2, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "\u0435\u0435", -1, 1, "", methodObject ), + new Among ( "\u0438\u0435", -1, 1, "", methodObject ), + new Among ( "\u043E\u0435", -1, 1, "", methodObject ), + new Among ( "\u044B\u0435", -1, 1, "", methodObject ), + new Among ( "\u0438\u043C\u0438", -1, 1, "", methodObject ), + new Among ( "\u044B\u043C\u0438", -1, 1, "", methodObject ), + new Among ( "\u0435\u0439", -1, 1, "", methodObject ), + new Among ( "\u0438\u0439", -1, 1, "", methodObject ), + new Among ( "\u043E\u0439", -1, 1, "", methodObject ), + new Among ( "\u044B\u0439", -1, 1, "", methodObject ), + new Among ( "\u0435\u043C", -1, 1, "", methodObject ), + new Among ( "\u0438\u043C", -1, 1, "", methodObject ), + new Among ( "\u043E\u043C", -1, 1, "", methodObject ), + new Among ( "\u044B\u043C", -1, 1, "", methodObject ), + new Among ( "\u0435\u0433\u043E", -1, 1, "", methodObject ), + new Among ( "\u043E\u0433\u043E", -1, 1, "", methodObject ), + new Among ( "\u0435\u043C\u0443", -1, 1, "", methodObject ), + new Among ( "\u043E\u043C\u0443", -1, 1, "", methodObject ), + new Among ( "\u0438\u0445", -1, 1, "", methodObject ), + new Among ( "\u044B\u0445", -1, 1, "", methodObject ), + new Among ( "\u0435\u044E", -1, 1, "", methodObject ), + new Among ( "\u043E\u044E", -1, 1, "", methodObject ), + new Among ( "\u0443\u044E", -1, 1, "", methodObject ), + new Among ( "\u044E\u044E", -1, 1, "", methodObject ), + new Among ( "\u0430\u044F", -1, 1, "", methodObject ), + new Among ( "\u044F\u044F", -1, 1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "\u0435\u043C", -1, 1, "", methodObject ), + new Among ( "\u043D\u043D", -1, 1, "", methodObject ), + new Among ( "\u0432\u0448", -1, 1, "", methodObject ), + new Among ( "\u0438\u0432\u0448", 2, 2, "", methodObject ), + new Among ( "\u044B\u0432\u0448", 2, 2, "", methodObject ), + new Among ( "\u0449", -1, 1, "", methodObject ), + new Among ( "\u044E\u0449", 5, 1, "", methodObject ), + new Among ( "\u0443\u044E\u0449", 6, 2, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "\u0441\u044C", -1, 1, "", methodObject ), + new Among ( "\u0441\u044F", -1, 1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "\u043B\u0430", -1, 1, "", methodObject ), + new Among ( "\u0438\u043B\u0430", 0, 2, "", methodObject ), + new Among ( "\u044B\u043B\u0430", 0, 2, "", methodObject ), + new Among ( "\u043D\u0430", -1, 1, "", methodObject ), + new Among ( "\u0435\u043D\u0430", 3, 2, "", methodObject ), + new Among ( "\u0435\u0442\u0435", -1, 1, "", methodObject ), + new Among ( "\u0438\u0442\u0435", -1, 2, "", methodObject ), + new Among ( "\u0439\u0442\u0435", -1, 1, "", methodObject ), + new Among ( "\u0435\u0439\u0442\u0435", 7, 2, "", methodObject ), + new Among ( "\u0443\u0439\u0442\u0435", 7, 2, "", methodObject ), + new Among ( "\u043B\u0438", -1, 1, "", methodObject ), + new Among ( "\u0438\u043B\u0438", 10, 2, "", methodObject ), + new Among ( "\u044B\u043B\u0438", 10, 2, "", methodObject ), + new Among ( "\u0439", -1, 1, "", methodObject ), + new Among ( "\u0435\u0439", 13, 2, "", methodObject ), + new Among ( "\u0443\u0439", 13, 2, "", methodObject ), + new Among ( "\u043B", -1, 1, "", methodObject ), + new Among ( "\u0438\u043B", 16, 2, "", methodObject ), + new Among ( "\u044B\u043B", 16, 2, "", methodObject ), + new Among ( "\u0435\u043C", -1, 1, "", methodObject ), + new Among ( "\u0438\u043C", -1, 2, "", methodObject ), + new Among ( "\u044B\u043C", -1, 2, "", methodObject ), + new Among ( "\u043D", -1, 1, "", methodObject ), + new Among ( "\u0435\u043D", 22, 2, "", methodObject ), + new Among ( "\u043B\u043E", -1, 1, "", methodObject ), + new Among ( "\u0438\u043B\u043E", 24, 2, "", methodObject ), + new Among ( "\u044B\u043B\u043E", 24, 2, "", methodObject ), + new Among ( "\u043D\u043E", -1, 1, "", methodObject ), + new Among ( "\u0435\u043D\u043E", 27, 2, "", methodObject ), + new Among ( "\u043D\u043D\u043E", 27, 1, "", methodObject ), + new Among ( "\u0435\u0442", -1, 1, "", methodObject ), + new Among ( "\u0443\u0435\u0442", 30, 2, "", methodObject ), + new Among ( "\u0438\u0442", -1, 2, "", methodObject ), + new Among ( "\u044B\u0442", -1, 2, "", methodObject ), + new Among ( "\u044E\u0442", -1, 1, "", methodObject ), + new Among ( "\u0443\u044E\u0442", 34, 2, "", methodObject ), + new Among ( "\u044F\u0442", -1, 2, "", methodObject ), + new Among ( "\u043D\u044B", -1, 1, "", methodObject ), + new Among ( "\u0435\u043D\u044B", 37, 2, "", methodObject ), + new Among ( "\u0442\u044C", -1, 1, "", methodObject ), + new Among ( "\u0438\u0442\u044C", 39, 2, "", methodObject ), + new Among ( "\u044B\u0442\u044C", 39, 2, "", methodObject ), + new Among ( "\u0435\u0448\u044C", -1, 1, "", methodObject ), + new Among ( "\u0438\u0448\u044C", -1, 2, "", methodObject ), + new Among ( "\u044E", -1, 2, "", methodObject ), + new Among ( "\u0443\u044E", 44, 2, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "\u0430", -1, 1, "", methodObject ), + new Among ( "\u0435\u0432", -1, 1, "", methodObject ), + new Among ( "\u043E\u0432", -1, 1, "", methodObject ), + new Among ( "\u0435", -1, 1, "", methodObject ), + new Among ( "\u0438\u0435", 3, 1, "", methodObject ), + new Among ( "\u044C\u0435", 3, 1, "", methodObject ), + new Among ( "\u0438", -1, 1, "", methodObject ), + new Among ( "\u0435\u0438", 6, 1, "", methodObject ), + new Among ( "\u0438\u0438", 6, 1, "", methodObject ), + new Among ( "\u0430\u043C\u0438", 6, 1, "", methodObject ), + new Among ( "\u044F\u043C\u0438", 6, 1, "", methodObject ), + new Among ( "\u0438\u044F\u043C\u0438", 10, 1, "", methodObject ), + new Among ( "\u0439", -1, 1, "", methodObject ), + new Among ( "\u0435\u0439", 12, 1, "", methodObject ), + new Among ( "\u0438\u0435\u0439", 13, 1, "", methodObject ), + new Among ( "\u0438\u0439", 12, 1, "", methodObject ), + new Among ( "\u043E\u0439", 12, 1, "", methodObject ), + new Among ( "\u0430\u043C", -1, 1, "", methodObject ), + new Among ( "\u0435\u043C", -1, 1, "", methodObject ), + new Among ( "\u0438\u0435\u043C", 18, 1, "", methodObject ), + new Among ( "\u043E\u043C", -1, 1, "", methodObject ), + new Among ( "\u044F\u043C", -1, 1, "", methodObject ), + new Among ( "\u0438\u044F\u043C", 21, 1, "", methodObject ), + new Among ( "\u043E", -1, 1, "", methodObject ), + new Among ( "\u0443", -1, 1, "", methodObject ), + new Among ( "\u0430\u0445", -1, 1, "", methodObject ), + new Among ( "\u044F\u0445", -1, 1, "", methodObject ), + new Among ( "\u0438\u044F\u0445", 26, 1, "", methodObject ), + new Among ( "\u044B", -1, 1, "", methodObject ), + new Among ( "\u044C", -1, 1, "", methodObject ), + new Among ( "\u044E", -1, 1, "", methodObject ), + new Among ( "\u0438\u044E", 30, 1, "", methodObject ), + new Among ( "\u044C\u044E", 30, 1, "", methodObject ), + new Among ( "\u044F", -1, 1, "", methodObject ), + new Among ( "\u0438\u044F", 33, 1, "", methodObject ), + new Among ( "\u044C\u044F", 33, 1, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "\u043E\u0441\u0442", -1, 1, "", methodObject ), + new Among ( "\u043E\u0441\u0442\u044C", -1, 1, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "\u0435\u0439\u0448\u0435", -1, 1, "", methodObject ), + new Among ( "\u043D", -1, 2, "", methodObject ), + new Among ( "\u0435\u0439\u0448", -1, 1, "", methodObject ), + new Among ( "\u044C", -1, 3, "", methodObject ) + }; + + private static final char g_v[] = {33, 65, 8, 232 }; + + private int I_p2; + private int I_pV; + + private void copy_from(russianStemmer other) { + I_p2 = other.I_p2; + I_pV = other.I_pV; + super.copy_from(other); + } + + private boolean r_mark_regions() { + int v_1; + // (, line 57 + I_pV = limit; + I_p2 = limit; + // do, line 61 + v_1 = cursor; + lab0: do { + // (, line 61 + // gopast, line 62 + golab1: while(true) + { + lab2: do { + if (!(in_grouping(g_v, 1072, 1103))) + { + break lab2; + } + break golab1; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + // setmark pV, line 62 + I_pV = cursor; + // gopast, line 62 + golab3: while(true) + { + lab4: do { + if (!(out_grouping(g_v, 1072, 1103))) + { + break lab4; + } + break golab3; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + // gopast, line 63 + golab5: while(true) + { + lab6: do { + if (!(in_grouping(g_v, 1072, 1103))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + // gopast, line 63 + golab7: while(true) + { + lab8: do { + if (!(out_grouping(g_v, 1072, 1103))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab0; + } + cursor++; + } + // setmark p2, line 63 + I_p2 = cursor; + } while (false); + cursor = v_1; + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_perfective_gerund() { + int among_var; + int v_1; + // (, line 71 + // [, line 72 + ket = cursor; + // substring, line 72 + among_var = find_among_b(a_0, 9); + if (among_var == 0) + { + return false; + } + // ], line 72 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 76 + // or, line 76 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // literal, line 76 + if (!(eq_s_b(1, "\u0430"))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // literal, line 76 + if (!(eq_s_b(1, "\u044F"))) + { + return false; + } + } while (false); + // delete, line 76 + slice_del(); + break; + case 2: + // (, line 83 + // delete, line 83 + slice_del(); + break; + } + return true; + } + + private boolean r_adjective() { + int among_var; + // (, line 87 + // [, line 88 + ket = cursor; + // substring, line 88 + among_var = find_among_b(a_1, 26); + if (among_var == 0) + { + return false; + } + // ], line 88 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 97 + // delete, line 97 + slice_del(); + break; + } + return true; + } + + private boolean r_adjectival() { + int among_var; + int v_1; + int v_2; + // (, line 101 + // call adjective, line 102 + if (!r_adjective()) + { + return false; + } + // try, line 109 + v_1 = limit - cursor; + lab0: do { + // (, line 109 + // [, line 110 + ket = cursor; + // substring, line 110 + among_var = find_among_b(a_2, 8); + if (among_var == 0) + { + cursor = limit - v_1; + break lab0; + } + // ], line 110 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_1; + break lab0; + case 1: + // (, line 115 + // or, line 115 + lab1: do { + v_2 = limit - cursor; + lab2: do { + // literal, line 115 + if (!(eq_s_b(1, "\u0430"))) + { + break lab2; + } + break lab1; + } while (false); + cursor = limit - v_2; + // literal, line 115 + if (!(eq_s_b(1, "\u044F"))) + { + cursor = limit - v_1; + break lab0; + } + } while (false); + // delete, line 115 + slice_del(); + break; + case 2: + // (, line 122 + // delete, line 122 + slice_del(); + break; + } + } while (false); + return true; + } + + private boolean r_reflexive() { + int among_var; + // (, line 128 + // [, line 129 + ket = cursor; + // substring, line 129 + among_var = find_among_b(a_3, 2); + if (among_var == 0) + { + return false; + } + // ], line 129 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 132 + // delete, line 132 + slice_del(); + break; + } + return true; + } + + private boolean r_verb() { + int among_var; + int v_1; + // (, line 136 + // [, line 137 + ket = cursor; + // substring, line 137 + among_var = find_among_b(a_4, 46); + if (among_var == 0) + { + return false; + } + // ], line 137 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 143 + // or, line 143 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // literal, line 143 + if (!(eq_s_b(1, "\u0430"))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_1; + // literal, line 143 + if (!(eq_s_b(1, "\u044F"))) + { + return false; + } + } while (false); + // delete, line 143 + slice_del(); + break; + case 2: + // (, line 151 + // delete, line 151 + slice_del(); + break; + } + return true; + } + + private boolean r_noun() { + int among_var; + // (, line 159 + // [, line 160 + ket = cursor; + // substring, line 160 + among_var = find_among_b(a_5, 36); + if (among_var == 0) + { + return false; + } + // ], line 160 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 167 + // delete, line 167 + slice_del(); + break; + } + return true; + } + + private boolean r_derivational() { + int among_var; + // (, line 175 + // [, line 176 + ket = cursor; + // substring, line 176 + among_var = find_among_b(a_6, 2); + if (among_var == 0) + { + return false; + } + // ], line 176 + bra = cursor; + // call R2, line 176 + if (!r_R2()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 179 + // delete, line 179 + slice_del(); + break; + } + return true; + } + + private boolean r_tidy_up() { + int among_var; + // (, line 183 + // [, line 184 + ket = cursor; + // substring, line 184 + among_var = find_among_b(a_7, 4); + if (among_var == 0) + { + return false; + } + // ], line 184 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 188 + // delete, line 188 + slice_del(); + // [, line 189 + ket = cursor; + // literal, line 189 + if (!(eq_s_b(1, "\u043D"))) + { + return false; + } + // ], line 189 + bra = cursor; + // literal, line 189 + if (!(eq_s_b(1, "\u043D"))) + { + return false; + } + // delete, line 189 + slice_del(); + break; + case 2: + // (, line 192 + // literal, line 192 + if (!(eq_s_b(1, "\u043D"))) + { + return false; + } + // delete, line 192 + slice_del(); + break; + case 3: + // (, line 194 + // delete, line 194 + slice_del(); + break; + } + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + // (, line 199 + // do, line 201 + v_1 = cursor; + lab0: do { + // call mark_regions, line 201 + if (!r_mark_regions()) + { + break lab0; + } + } while (false); + cursor = v_1; + // backwards, line 202 + limit_backward = cursor; cursor = limit; + // setlimit, line 202 + v_2 = limit - cursor; + // tomark, line 202 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_3 = limit_backward; + limit_backward = cursor; + cursor = limit - v_2; + // (, line 202 + // do, line 203 + v_4 = limit - cursor; + lab1: do { + // (, line 203 + // or, line 204 + lab2: do { + v_5 = limit - cursor; + lab3: do { + // call perfective_gerund, line 204 + if (!r_perfective_gerund()) + { + break lab3; + } + break lab2; + } while (false); + cursor = limit - v_5; + // (, line 205 + // try, line 205 + v_6 = limit - cursor; + lab4: do { + // call reflexive, line 205 + if (!r_reflexive()) + { + cursor = limit - v_6; + break lab4; + } + } while (false); + // or, line 206 + lab5: do { + v_7 = limit - cursor; + lab6: do { + // call adjectival, line 206 + if (!r_adjectival()) + { + break lab6; + } + break lab5; + } while (false); + cursor = limit - v_7; + lab7: do { + // call verb, line 206 + if (!r_verb()) + { + break lab7; + } + break lab5; + } while (false); + cursor = limit - v_7; + // call noun, line 206 + if (!r_noun()) + { + break lab1; + } + } while (false); + } while (false); + } while (false); + cursor = limit - v_4; + // try, line 209 + v_8 = limit - cursor; + lab8: do { + // (, line 209 + // [, line 209 + ket = cursor; + // literal, line 209 + if (!(eq_s_b(1, "\u0438"))) + { + cursor = limit - v_8; + break lab8; + } + // ], line 209 + bra = cursor; + // delete, line 209 + slice_del(); + } while (false); + // do, line 212 + v_9 = limit - cursor; + lab9: do { + // call derivational, line 212 + if (!r_derivational()) + { + break lab9; + } + } while (false); + cursor = limit - v_9; + // do, line 213 + v_10 = limit - cursor; + lab10: do { + // call tidy_up, line 213 + if (!r_tidy_up()) + { + break lab10; + } + } while (false); + cursor = limit - v_10; + limit_backward = v_3; + cursor = limit_backward; return true; + } + + public boolean equals( Object o ) { + return o instanceof russianStemmer; + } + + public int hashCode() { + return russianStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/spanishStemmer.java b/lib/org/tartarus/snowball/ext/spanishStemmer.java new file mode 100644 index 00000000..da3b3a4f --- /dev/null +++ b/lib/org/tartarus/snowball/ext/spanishStemmer.java @@ -0,0 +1,1198 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class spanishStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static spanishStemmer methodObject = new spanishStemmer (); + + private final static Among a_0[] = { + new Among ( "", -1, 6, "", methodObject ), + new Among ( "\u00E1", 0, 1, "", methodObject ), + new Among ( "\u00E9", 0, 2, "", methodObject ), + new Among ( "\u00ED", 0, 3, "", methodObject ), + new Among ( "\u00F3", 0, 4, "", methodObject ), + new Among ( "\u00FA", 0, 5, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "la", -1, -1, "", methodObject ), + new Among ( "sela", 0, -1, "", methodObject ), + new Among ( "le", -1, -1, "", methodObject ), + new Among ( "me", -1, -1, "", methodObject ), + new Among ( "se", -1, -1, "", methodObject ), + new Among ( "lo", -1, -1, "", methodObject ), + new Among ( "selo", 5, -1, "", methodObject ), + new Among ( "las", -1, -1, "", methodObject ), + new Among ( "selas", 7, -1, "", methodObject ), + new Among ( "les", -1, -1, "", methodObject ), + new Among ( "los", -1, -1, "", methodObject ), + new Among ( "selos", 10, -1, "", methodObject ), + new Among ( "nos", -1, -1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ando", -1, 6, "", methodObject ), + new Among ( "iendo", -1, 6, "", methodObject ), + new Among ( "yendo", -1, 7, "", methodObject ), + new Among ( "\u00E1ndo", -1, 2, "", methodObject ), + new Among ( "i\u00E9ndo", -1, 1, "", methodObject ), + new Among ( "ar", -1, 6, "", methodObject ), + new Among ( "er", -1, 6, "", methodObject ), + new Among ( "ir", -1, 6, "", methodObject ), + new Among ( "\u00E1r", -1, 3, "", methodObject ), + new Among ( "\u00E9r", -1, 4, "", methodObject ), + new Among ( "\u00EDr", -1, 5, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "ic", -1, -1, "", methodObject ), + new Among ( "ad", -1, -1, "", methodObject ), + new Among ( "os", -1, -1, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "able", -1, 1, "", methodObject ), + new Among ( "ible", -1, 1, "", methodObject ), + new Among ( "ante", -1, 1, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "ic", -1, 1, "", methodObject ), + new Among ( "abil", -1, 1, "", methodObject ), + new Among ( "iv", -1, 1, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "ica", -1, 1, "", methodObject ), + new Among ( "ancia", -1, 2, "", methodObject ), + new Among ( "encia", -1, 5, "", methodObject ), + new Among ( "adora", -1, 2, "", methodObject ), + new Among ( "osa", -1, 1, "", methodObject ), + new Among ( "ista", -1, 1, "", methodObject ), + new Among ( "iva", -1, 9, "", methodObject ), + new Among ( "anza", -1, 1, "", methodObject ), + new Among ( "log\u00EDa", -1, 3, "", methodObject ), + new Among ( "idad", -1, 8, "", methodObject ), + new Among ( "able", -1, 1, "", methodObject ), + new Among ( "ible", -1, 1, "", methodObject ), + new Among ( "ante", -1, 2, "", methodObject ), + new Among ( "mente", -1, 7, "", methodObject ), + new Among ( "amente", 13, 6, "", methodObject ), + new Among ( "aci\u00F3n", -1, 2, "", methodObject ), + new Among ( "uci\u00F3n", -1, 4, "", methodObject ), + new Among ( "ico", -1, 1, "", methodObject ), + new Among ( "ismo", -1, 1, "", methodObject ), + new Among ( "oso", -1, 1, "", methodObject ), + new Among ( "amiento", -1, 1, "", methodObject ), + new Among ( "imiento", -1, 1, "", methodObject ), + new Among ( "ivo", -1, 9, "", methodObject ), + new Among ( "ador", -1, 2, "", methodObject ), + new Among ( "icas", -1, 1, "", methodObject ), + new Among ( "ancias", -1, 2, "", methodObject ), + new Among ( "encias", -1, 5, "", methodObject ), + new Among ( "adoras", -1, 2, "", methodObject ), + new Among ( "osas", -1, 1, "", methodObject ), + new Among ( "istas", -1, 1, "", methodObject ), + new Among ( "ivas", -1, 9, "", methodObject ), + new Among ( "anzas", -1, 1, "", methodObject ), + new Among ( "log\u00EDas", -1, 3, "", methodObject ), + new Among ( "idades", -1, 8, "", methodObject ), + new Among ( "ables", -1, 1, "", methodObject ), + new Among ( "ibles", -1, 1, "", methodObject ), + new Among ( "aciones", -1, 2, "", methodObject ), + new Among ( "uciones", -1, 4, "", methodObject ), + new Among ( "adores", -1, 2, "", methodObject ), + new Among ( "antes", -1, 2, "", methodObject ), + new Among ( "icos", -1, 1, "", methodObject ), + new Among ( "ismos", -1, 1, "", methodObject ), + new Among ( "osos", -1, 1, "", methodObject ), + new Among ( "amientos", -1, 1, "", methodObject ), + new Among ( "imientos", -1, 1, "", methodObject ), + new Among ( "ivos", -1, 9, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "ya", -1, 1, "", methodObject ), + new Among ( "ye", -1, 1, "", methodObject ), + new Among ( "yan", -1, 1, "", methodObject ), + new Among ( "yen", -1, 1, "", methodObject ), + new Among ( "yeron", -1, 1, "", methodObject ), + new Among ( "yendo", -1, 1, "", methodObject ), + new Among ( "yo", -1, 1, "", methodObject ), + new Among ( "yas", -1, 1, "", methodObject ), + new Among ( "yes", -1, 1, "", methodObject ), + new Among ( "yais", -1, 1, "", methodObject ), + new Among ( "yamos", -1, 1, "", methodObject ), + new Among ( "y\u00F3", -1, 1, "", methodObject ) + }; + + private final static Among a_8[] = { + new Among ( "aba", -1, 2, "", methodObject ), + new Among ( "ada", -1, 2, "", methodObject ), + new Among ( "ida", -1, 2, "", methodObject ), + new Among ( "ara", -1, 2, "", methodObject ), + new Among ( "iera", -1, 2, "", methodObject ), + new Among ( "\u00EDa", -1, 2, "", methodObject ), + new Among ( "ar\u00EDa", 5, 2, "", methodObject ), + new Among ( "er\u00EDa", 5, 2, "", methodObject ), + new Among ( "ir\u00EDa", 5, 2, "", methodObject ), + new Among ( "ad", -1, 2, "", methodObject ), + new Among ( "ed", -1, 2, "", methodObject ), + new Among ( "id", -1, 2, "", methodObject ), + new Among ( "ase", -1, 2, "", methodObject ), + new Among ( "iese", -1, 2, "", methodObject ), + new Among ( "aste", -1, 2, "", methodObject ), + new Among ( "iste", -1, 2, "", methodObject ), + new Among ( "an", -1, 2, "", methodObject ), + new Among ( "aban", 16, 2, "", methodObject ), + new Among ( "aran", 16, 2, "", methodObject ), + new Among ( "ieran", 16, 2, "", methodObject ), + new Among ( "\u00EDan", 16, 2, "", methodObject ), + new Among ( "ar\u00EDan", 20, 2, "", methodObject ), + new Among ( "er\u00EDan", 20, 2, "", methodObject ), + new Among ( "ir\u00EDan", 20, 2, "", methodObject ), + new Among ( "en", -1, 1, "", methodObject ), + new Among ( "asen", 24, 2, "", methodObject ), + new Among ( "iesen", 24, 2, "", methodObject ), + new Among ( "aron", -1, 2, "", methodObject ), + new Among ( "ieron", -1, 2, "", methodObject ), + new Among ( "ar\u00E1n", -1, 2, "", methodObject ), + new Among ( "er\u00E1n", -1, 2, "", methodObject ), + new Among ( "ir\u00E1n", -1, 2, "", methodObject ), + new Among ( "ado", -1, 2, "", methodObject ), + new Among ( "ido", -1, 2, "", methodObject ), + new Among ( "ando", -1, 2, "", methodObject ), + new Among ( "iendo", -1, 2, "", methodObject ), + new Among ( "ar", -1, 2, "", methodObject ), + new Among ( "er", -1, 2, "", methodObject ), + new Among ( "ir", -1, 2, "", methodObject ), + new Among ( "as", -1, 2, "", methodObject ), + new Among ( "abas", 39, 2, "", methodObject ), + new Among ( "adas", 39, 2, "", methodObject ), + new Among ( "idas", 39, 2, "", methodObject ), + new Among ( "aras", 39, 2, "", methodObject ), + new Among ( "ieras", 39, 2, "", methodObject ), + new Among ( "\u00EDas", 39, 2, "", methodObject ), + new Among ( "ar\u00EDas", 45, 2, "", methodObject ), + new Among ( "er\u00EDas", 45, 2, "", methodObject ), + new Among ( "ir\u00EDas", 45, 2, "", methodObject ), + new Among ( "es", -1, 1, "", methodObject ), + new Among ( "ases", 49, 2, "", methodObject ), + new Among ( "ieses", 49, 2, "", methodObject ), + new Among ( "abais", -1, 2, "", methodObject ), + new Among ( "arais", -1, 2, "", methodObject ), + new Among ( "ierais", -1, 2, "", methodObject ), + new Among ( "\u00EDais", -1, 2, "", methodObject ), + new Among ( "ar\u00EDais", 55, 2, "", methodObject ), + new Among ( "er\u00EDais", 55, 2, "", methodObject ), + new Among ( "ir\u00EDais", 55, 2, "", methodObject ), + new Among ( "aseis", -1, 2, "", methodObject ), + new Among ( "ieseis", -1, 2, "", methodObject ), + new Among ( "asteis", -1, 2, "", methodObject ), + new Among ( "isteis", -1, 2, "", methodObject ), + new Among ( "\u00E1is", -1, 2, "", methodObject ), + new Among ( "\u00E9is", -1, 1, "", methodObject ), + new Among ( "ar\u00E9is", 64, 2, "", methodObject ), + new Among ( "er\u00E9is", 64, 2, "", methodObject ), + new Among ( "ir\u00E9is", 64, 2, "", methodObject ), + new Among ( "ados", -1, 2, "", methodObject ), + new Among ( "idos", -1, 2, "", methodObject ), + new Among ( "amos", -1, 2, "", methodObject ), + new Among ( "\u00E1bamos", 70, 2, "", methodObject ), + new Among ( "\u00E1ramos", 70, 2, "", methodObject ), + new Among ( "i\u00E9ramos", 70, 2, "", methodObject ), + new Among ( "\u00EDamos", 70, 2, "", methodObject ), + new Among ( "ar\u00EDamos", 74, 2, "", methodObject ), + new Among ( "er\u00EDamos", 74, 2, "", methodObject ), + new Among ( "ir\u00EDamos", 74, 2, "", methodObject ), + new Among ( "emos", -1, 1, "", methodObject ), + new Among ( "aremos", 78, 2, "", methodObject ), + new Among ( "eremos", 78, 2, "", methodObject ), + new Among ( "iremos", 78, 2, "", methodObject ), + new Among ( "\u00E1semos", 78, 2, "", methodObject ), + new Among ( "i\u00E9semos", 78, 2, "", methodObject ), + new Among ( "imos", -1, 2, "", methodObject ), + new Among ( "ar\u00E1s", -1, 2, "", methodObject ), + new Among ( "er\u00E1s", -1, 2, "", methodObject ), + new Among ( "ir\u00E1s", -1, 2, "", methodObject ), + new Among ( "\u00EDs", -1, 2, "", methodObject ), + new Among ( "ar\u00E1", -1, 2, "", methodObject ), + new Among ( "er\u00E1", -1, 2, "", methodObject ), + new Among ( "ir\u00E1", -1, 2, "", methodObject ), + new Among ( "ar\u00E9", -1, 2, "", methodObject ), + new Among ( "er\u00E9", -1, 2, "", methodObject ), + new Among ( "ir\u00E9", -1, 2, "", methodObject ), + new Among ( "i\u00F3", -1, 2, "", methodObject ) + }; + + private final static Among a_9[] = { + new Among ( "a", -1, 1, "", methodObject ), + new Among ( "e", -1, 2, "", methodObject ), + new Among ( "o", -1, 1, "", methodObject ), + new Among ( "os", -1, 1, "", methodObject ), + new Among ( "\u00E1", -1, 1, "", methodObject ), + new Among ( "\u00E9", -1, 2, "", methodObject ), + new Among ( "\u00ED", -1, 1, "", methodObject ), + new Among ( "\u00F3", -1, 1, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 17, 4, 10 }; + + private int I_p2; + private int I_p1; + private int I_pV; + + private void copy_from(spanishStemmer other) { + I_p2 = other.I_p2; + I_p1 = other.I_p1; + I_pV = other.I_pV; + super.copy_from(other); + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + int v_3; + int v_6; + int v_8; + // (, line 31 + I_pV = limit; + I_p1 = limit; + I_p2 = limit; + // do, line 37 + v_1 = cursor; + lab0: do { + // (, line 37 + // or, line 39 + lab1: do { + v_2 = cursor; + lab2: do { + // (, line 38 + if (!(in_grouping(g_v, 97, 252))) + { + break lab2; + } + // or, line 38 + lab3: do { + v_3 = cursor; + lab4: do { + // (, line 38 + if (!(out_grouping(g_v, 97, 252))) + { + break lab4; + } + // gopast, line 38 + golab5: while(true) + { + lab6: do { + if (!(in_grouping(g_v, 97, 252))) + { + break lab6; + } + break golab5; + } while (false); + if (cursor >= limit) + { + break lab4; + } + cursor++; + } + break lab3; + } while (false); + cursor = v_3; + // (, line 38 + if (!(in_grouping(g_v, 97, 252))) + { + break lab2; + } + // gopast, line 38 + golab7: while(true) + { + lab8: do { + if (!(out_grouping(g_v, 97, 252))) + { + break lab8; + } + break golab7; + } while (false); + if (cursor >= limit) + { + break lab2; + } + cursor++; + } + } while (false); + break lab1; + } while (false); + cursor = v_2; + // (, line 40 + if (!(out_grouping(g_v, 97, 252))) + { + break lab0; + } + // or, line 40 + lab9: do { + v_6 = cursor; + lab10: do { + // (, line 40 + if (!(out_grouping(g_v, 97, 252))) + { + break lab10; + } + // gopast, line 40 + golab11: while(true) + { + lab12: do { + if (!(in_grouping(g_v, 97, 252))) + { + break lab12; + } + break golab11; + } while (false); + if (cursor >= limit) + { + break lab10; + } + cursor++; + } + break lab9; + } while (false); + cursor = v_6; + // (, line 40 + if (!(in_grouping(g_v, 97, 252))) + { + break lab0; + } + // next, line 40 + if (cursor >= limit) + { + break lab0; + } + cursor++; + } while (false); + } while (false); + // setmark pV, line 41 + I_pV = cursor; + } while (false); + cursor = v_1; + // do, line 43 + v_8 = cursor; + lab13: do { + // (, line 43 + // gopast, line 44 + golab14: while(true) + { + lab15: do { + if (!(in_grouping(g_v, 97, 252))) + { + break lab15; + } + break golab14; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 44 + golab16: while(true) + { + lab17: do { + if (!(out_grouping(g_v, 97, 252))) + { + break lab17; + } + break golab16; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p1, line 44 + I_p1 = cursor; + // gopast, line 45 + golab18: while(true) + { + lab19: do { + if (!(in_grouping(g_v, 97, 252))) + { + break lab19; + } + break golab18; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // gopast, line 45 + golab20: while(true) + { + lab21: do { + if (!(out_grouping(g_v, 97, 252))) + { + break lab21; + } + break golab20; + } while (false); + if (cursor >= limit) + { + break lab13; + } + cursor++; + } + // setmark p2, line 45 + I_p2 = cursor; + } while (false); + cursor = v_8; + return true; + } + + private boolean r_postlude() { + int among_var; + int v_1; + // repeat, line 49 + replab0: while(true) + { + v_1 = cursor; + lab1: do { + // (, line 49 + // [, line 50 + bra = cursor; + // substring, line 50 + among_var = find_among(a_0, 6); + if (among_var == 0) + { + break lab1; + } + // ], line 50 + ket = cursor; + switch(among_var) { + case 0: + break lab1; + case 1: + // (, line 51 + // <-, line 51 + slice_from("a"); + break; + case 2: + // (, line 52 + // <-, line 52 + slice_from("e"); + break; + case 3: + // (, line 53 + // <-, line 53 + slice_from("i"); + break; + case 4: + // (, line 54 + // <-, line 54 + slice_from("o"); + break; + case 5: + // (, line 55 + // <-, line 55 + slice_from("u"); + break; + case 6: + // (, line 57 + // next, line 57 + if (cursor >= limit) + { + break lab1; + } + cursor++; + break; + } + continue replab0; + } while (false); + cursor = v_1; + break replab0; + } + return true; + } + + private boolean r_RV() { + if (!(I_pV <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R1() { + if (!(I_p1 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_R2() { + if (!(I_p2 <= cursor)) + { + return false; + } + return true; + } + + private boolean r_attached_pronoun() { + int among_var; + // (, line 67 + // [, line 68 + ket = cursor; + // substring, line 68 + if (find_among_b(a_1, 13) == 0) + { + return false; + } + // ], line 68 + bra = cursor; + // substring, line 72 + among_var = find_among_b(a_2, 11); + if (among_var == 0) + { + return false; + } + // call RV, line 72 + if (!r_RV()) + { + return false; + } + switch(among_var) { + case 0: + return false; + case 1: + // (, line 73 + // ], line 73 + bra = cursor; + // <-, line 73 + slice_from("iendo"); + break; + case 2: + // (, line 74 + // ], line 74 + bra = cursor; + // <-, line 74 + slice_from("ando"); + break; + case 3: + // (, line 75 + // ], line 75 + bra = cursor; + // <-, line 75 + slice_from("ar"); + break; + case 4: + // (, line 76 + // ], line 76 + bra = cursor; + // <-, line 76 + slice_from("er"); + break; + case 5: + // (, line 77 + // ], line 77 + bra = cursor; + // <-, line 77 + slice_from("ir"); + break; + case 6: + // (, line 81 + // delete, line 81 + slice_del(); + break; + case 7: + // (, line 82 + // literal, line 82 + if (!(eq_s_b(1, "u"))) + { + return false; + } + // delete, line 82 + slice_del(); + break; + } + return true; + } + + private boolean r_standard_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + // (, line 86 + // [, line 87 + ket = cursor; + // substring, line 87 + among_var = find_among_b(a_6, 46); + if (among_var == 0) + { + return false; + } + // ], line 87 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 98 + // call R2, line 99 + if (!r_R2()) + { + return false; + } + // delete, line 99 + slice_del(); + break; + case 2: + // (, line 104 + // call R2, line 105 + if (!r_R2()) + { + return false; + } + // delete, line 105 + slice_del(); + // try, line 106 + v_1 = limit - cursor; + lab0: do { + // (, line 106 + // [, line 106 + ket = cursor; + // literal, line 106 + if (!(eq_s_b(2, "ic"))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 106 + bra = cursor; + // call R2, line 106 + if (!r_R2()) + { + cursor = limit - v_1; + break lab0; + } + // delete, line 106 + slice_del(); + } while (false); + break; + case 3: + // (, line 110 + // call R2, line 111 + if (!r_R2()) + { + return false; + } + // <-, line 111 + slice_from("log"); + break; + case 4: + // (, line 114 + // call R2, line 115 + if (!r_R2()) + { + return false; + } + // <-, line 115 + slice_from("u"); + break; + case 5: + // (, line 118 + // call R2, line 119 + if (!r_R2()) + { + return false; + } + // <-, line 119 + slice_from("ente"); + break; + case 6: + // (, line 122 + // call R1, line 123 + if (!r_R1()) + { + return false; + } + // delete, line 123 + slice_del(); + // try, line 124 + v_2 = limit - cursor; + lab1: do { + // (, line 124 + // [, line 125 + ket = cursor; + // substring, line 125 + among_var = find_among_b(a_3, 4); + if (among_var == 0) + { + cursor = limit - v_2; + break lab1; + } + // ], line 125 + bra = cursor; + // call R2, line 125 + if (!r_R2()) + { + cursor = limit - v_2; + break lab1; + } + // delete, line 125 + slice_del(); + switch(among_var) { + case 0: + cursor = limit - v_2; + break lab1; + case 1: + // (, line 126 + // [, line 126 + ket = cursor; + // literal, line 126 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_2; + break lab1; + } + // ], line 126 + bra = cursor; + // call R2, line 126 + if (!r_R2()) + { + cursor = limit - v_2; + break lab1; + } + // delete, line 126 + slice_del(); + break; + } + } while (false); + break; + case 7: + // (, line 134 + // call R2, line 135 + if (!r_R2()) + { + return false; + } + // delete, line 135 + slice_del(); + // try, line 136 + v_3 = limit - cursor; + lab2: do { + // (, line 136 + // [, line 137 + ket = cursor; + // substring, line 137 + among_var = find_among_b(a_4, 3); + if (among_var == 0) + { + cursor = limit - v_3; + break lab2; + } + // ], line 137 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_3; + break lab2; + case 1: + // (, line 140 + // call R2, line 140 + if (!r_R2()) + { + cursor = limit - v_3; + break lab2; + } + // delete, line 140 + slice_del(); + break; + } + } while (false); + break; + case 8: + // (, line 146 + // call R2, line 147 + if (!r_R2()) + { + return false; + } + // delete, line 147 + slice_del(); + // try, line 148 + v_4 = limit - cursor; + lab3: do { + // (, line 148 + // [, line 149 + ket = cursor; + // substring, line 149 + among_var = find_among_b(a_5, 3); + if (among_var == 0) + { + cursor = limit - v_4; + break lab3; + } + // ], line 149 + bra = cursor; + switch(among_var) { + case 0: + cursor = limit - v_4; + break lab3; + case 1: + // (, line 152 + // call R2, line 152 + if (!r_R2()) + { + cursor = limit - v_4; + break lab3; + } + // delete, line 152 + slice_del(); + break; + } + } while (false); + break; + case 9: + // (, line 158 + // call R2, line 159 + if (!r_R2()) + { + return false; + } + // delete, line 159 + slice_del(); + // try, line 160 + v_5 = limit - cursor; + lab4: do { + // (, line 160 + // [, line 161 + ket = cursor; + // literal, line 161 + if (!(eq_s_b(2, "at"))) + { + cursor = limit - v_5; + break lab4; + } + // ], line 161 + bra = cursor; + // call R2, line 161 + if (!r_R2()) + { + cursor = limit - v_5; + break lab4; + } + // delete, line 161 + slice_del(); + } while (false); + break; + } + return true; + } + + private boolean r_y_verb_suffix() { + int among_var; + int v_1; + int v_2; + // (, line 167 + // setlimit, line 168 + v_1 = limit - cursor; + // tomark, line 168 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 168 + // [, line 168 + ket = cursor; + // substring, line 168 + among_var = find_among_b(a_7, 12); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 168 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 171 + // literal, line 171 + if (!(eq_s_b(1, "u"))) + { + return false; + } + // delete, line 171 + slice_del(); + break; + } + return true; + } + + private boolean r_verb_suffix() { + int among_var; + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 175 + // setlimit, line 176 + v_1 = limit - cursor; + // tomark, line 176 + if (cursor < I_pV) + { + return false; + } + cursor = I_pV; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 176 + // [, line 176 + ket = cursor; + // substring, line 176 + among_var = find_among_b(a_8, 96); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 176 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 179 + // try, line 179 + v_3 = limit - cursor; + lab0: do { + // (, line 179 + // literal, line 179 + if (!(eq_s_b(1, "u"))) + { + cursor = limit - v_3; + break lab0; + } + // test, line 179 + v_4 = limit - cursor; + // literal, line 179 + if (!(eq_s_b(1, "g"))) + { + cursor = limit - v_3; + break lab0; + } + cursor = limit - v_4; + } while (false); + // ], line 179 + bra = cursor; + // delete, line 179 + slice_del(); + break; + case 2: + // (, line 200 + // delete, line 200 + slice_del(); + break; + } + return true; + } + + private boolean r_residual_suffix() { + int among_var; + int v_1; + int v_2; + // (, line 204 + // [, line 205 + ket = cursor; + // substring, line 205 + among_var = find_among_b(a_9, 8); + if (among_var == 0) + { + return false; + } + // ], line 205 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 208 + // call RV, line 208 + if (!r_RV()) + { + return false; + } + // delete, line 208 + slice_del(); + break; + case 2: + // (, line 210 + // call RV, line 210 + if (!r_RV()) + { + return false; + } + // delete, line 210 + slice_del(); + // try, line 210 + v_1 = limit - cursor; + lab0: do { + // (, line 210 + // [, line 210 + ket = cursor; + // literal, line 210 + if (!(eq_s_b(1, "u"))) + { + cursor = limit - v_1; + break lab0; + } + // ], line 210 + bra = cursor; + // test, line 210 + v_2 = limit - cursor; + // literal, line 210 + if (!(eq_s_b(1, "g"))) + { + cursor = limit - v_1; + break lab0; + } + cursor = limit - v_2; + // call RV, line 210 + if (!r_RV()) + { + cursor = limit - v_1; + break lab0; + } + // delete, line 210 + slice_del(); + } while (false); + break; + } + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + // (, line 215 + // do, line 216 + v_1 = cursor; + lab0: do { + // call mark_regions, line 216 + if (!r_mark_regions()) + { + break lab0; + } + } while (false); + cursor = v_1; + // backwards, line 217 + limit_backward = cursor; cursor = limit; + // (, line 217 + // do, line 218 + v_2 = limit - cursor; + lab1: do { + // call attached_pronoun, line 218 + if (!r_attached_pronoun()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 219 + v_3 = limit - cursor; + lab2: do { + // (, line 219 + // or, line 219 + lab3: do { + v_4 = limit - cursor; + lab4: do { + // call standard_suffix, line 219 + if (!r_standard_suffix()) + { + break lab4; + } + break lab3; + } while (false); + cursor = limit - v_4; + lab5: do { + // call y_verb_suffix, line 220 + if (!r_y_verb_suffix()) + { + break lab5; + } + break lab3; + } while (false); + cursor = limit - v_4; + // call verb_suffix, line 221 + if (!r_verb_suffix()) + { + break lab2; + } + } while (false); + } while (false); + cursor = limit - v_3; + // do, line 223 + v_5 = limit - cursor; + lab6: do { + // call residual_suffix, line 223 + if (!r_residual_suffix()) + { + break lab6; + } + } while (false); + cursor = limit - v_5; + cursor = limit_backward; // do, line 225 + v_6 = cursor; + lab7: do { + // call postlude, line 225 + if (!r_postlude()) + { + break lab7; + } + } while (false); + cursor = v_6; + return true; + } + + public boolean equals( Object o ) { + return o instanceof spanishStemmer; + } + + public int hashCode() { + return spanishStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/swedishStemmer.java b/lib/org/tartarus/snowball/ext/swedishStemmer.java new file mode 100644 index 00000000..60c5620b --- /dev/null +++ b/lib/org/tartarus/snowball/ext/swedishStemmer.java @@ -0,0 +1,365 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class swedishStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static swedishStemmer methodObject = new swedishStemmer (); + + private final static Among a_0[] = { + new Among ( "a", -1, 1, "", methodObject ), + new Among ( "arna", 0, 1, "", methodObject ), + new Among ( "erna", 0, 1, "", methodObject ), + new Among ( "heterna", 2, 1, "", methodObject ), + new Among ( "orna", 0, 1, "", methodObject ), + new Among ( "ad", -1, 1, "", methodObject ), + new Among ( "e", -1, 1, "", methodObject ), + new Among ( "ade", 6, 1, "", methodObject ), + new Among ( "ande", 6, 1, "", methodObject ), + new Among ( "arne", 6, 1, "", methodObject ), + new Among ( "are", 6, 1, "", methodObject ), + new Among ( "aste", 6, 1, "", methodObject ), + new Among ( "en", -1, 1, "", methodObject ), + new Among ( "anden", 12, 1, "", methodObject ), + new Among ( "aren", 12, 1, "", methodObject ), + new Among ( "heten", 12, 1, "", methodObject ), + new Among ( "ern", -1, 1, "", methodObject ), + new Among ( "ar", -1, 1, "", methodObject ), + new Among ( "er", -1, 1, "", methodObject ), + new Among ( "heter", 18, 1, "", methodObject ), + new Among ( "or", -1, 1, "", methodObject ), + new Among ( "s", -1, 2, "", methodObject ), + new Among ( "as", 21, 1, "", methodObject ), + new Among ( "arnas", 22, 1, "", methodObject ), + new Among ( "ernas", 22, 1, "", methodObject ), + new Among ( "ornas", 22, 1, "", methodObject ), + new Among ( "es", 21, 1, "", methodObject ), + new Among ( "ades", 26, 1, "", methodObject ), + new Among ( "andes", 26, 1, "", methodObject ), + new Among ( "ens", 21, 1, "", methodObject ), + new Among ( "arens", 29, 1, "", methodObject ), + new Among ( "hetens", 29, 1, "", methodObject ), + new Among ( "erns", 21, 1, "", methodObject ), + new Among ( "at", -1, 1, "", methodObject ), + new Among ( "andet", -1, 1, "", methodObject ), + new Among ( "het", -1, 1, "", methodObject ), + new Among ( "ast", -1, 1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "dd", -1, -1, "", methodObject ), + new Among ( "gd", -1, -1, "", methodObject ), + new Among ( "nn", -1, -1, "", methodObject ), + new Among ( "dt", -1, -1, "", methodObject ), + new Among ( "gt", -1, -1, "", methodObject ), + new Among ( "kt", -1, -1, "", methodObject ), + new Among ( "tt", -1, -1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ig", -1, 1, "", methodObject ), + new Among ( "lig", 0, 1, "", methodObject ), + new Among ( "els", -1, 1, "", methodObject ), + new Among ( "fullt", -1, 3, "", methodObject ), + new Among ( "l\u00F6st", -1, 2, "", methodObject ) + }; + + private static final char g_v[] = {17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 32 }; + + private static final char g_s_ending[] = {119, 127, 149 }; + + private int I_x; + private int I_p1; + + private void copy_from(swedishStemmer other) { + I_x = other.I_x; + I_p1 = other.I_p1; + super.copy_from(other); + } + + private boolean r_mark_regions() { + int v_1; + int v_2; + // (, line 26 + I_p1 = limit; + // test, line 29 + v_1 = cursor; + // (, line 29 + // hop, line 29 + { + int c = cursor + 3; + if (0 > c || c > limit) + { + return false; + } + cursor = c; + } + // setmark x, line 29 + I_x = cursor; + cursor = v_1; + // goto, line 30 + golab0: while(true) + { + v_2 = cursor; + lab1: do { + if (!(in_grouping(g_v, 97, 246))) + { + break lab1; + } + cursor = v_2; + break golab0; + } while (false); + cursor = v_2; + if (cursor >= limit) + { + return false; + } + cursor++; + } + // gopast, line 30 + golab2: while(true) + { + lab3: do { + if (!(out_grouping(g_v, 97, 246))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // setmark p1, line 30 + I_p1 = cursor; + // try, line 31 + lab4: do { + // (, line 31 + if (!(I_p1 < I_x)) + { + break lab4; + } + I_p1 = I_x; + } while (false); + return true; + } + + private boolean r_main_suffix() { + int among_var; + int v_1; + int v_2; + // (, line 36 + // setlimit, line 37 + v_1 = limit - cursor; + // tomark, line 37 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 37 + // [, line 37 + ket = cursor; + // substring, line 37 + among_var = find_among_b(a_0, 37); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 37 + bra = cursor; + limit_backward = v_2; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 44 + // delete, line 44 + slice_del(); + break; + case 2: + // (, line 46 + if (!(in_grouping_b(g_s_ending, 98, 121))) + { + return false; + } + // delete, line 46 + slice_del(); + break; + } + return true; + } + + private boolean r_consonant_pair() { + int v_1; + int v_2; + int v_3; + // setlimit, line 50 + v_1 = limit - cursor; + // tomark, line 50 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 50 + // and, line 52 + v_3 = limit - cursor; + // among, line 51 + if (find_among_b(a_1, 7) == 0) + { + limit_backward = v_2; + return false; + } + cursor = limit - v_3; + // (, line 52 + // [, line 52 + ket = cursor; + // next, line 52 + if (cursor <= limit_backward) + { + limit_backward = v_2; + return false; + } + cursor--; + // ], line 52 + bra = cursor; + // delete, line 52 + slice_del(); + limit_backward = v_2; + return true; + } + + private boolean r_other_suffix() { + int among_var; + int v_1; + int v_2; + // setlimit, line 55 + v_1 = limit - cursor; + // tomark, line 55 + if (cursor < I_p1) + { + return false; + } + cursor = I_p1; + v_2 = limit_backward; + limit_backward = cursor; + cursor = limit - v_1; + // (, line 55 + // [, line 56 + ket = cursor; + // substring, line 56 + among_var = find_among_b(a_2, 5); + if (among_var == 0) + { + limit_backward = v_2; + return false; + } + // ], line 56 + bra = cursor; + switch(among_var) { + case 0: + limit_backward = v_2; + return false; + case 1: + // (, line 57 + // delete, line 57 + slice_del(); + break; + case 2: + // (, line 58 + // <-, line 58 + slice_from("l\u00F6s"); + break; + case 3: + // (, line 59 + // <-, line 59 + slice_from("full"); + break; + } + limit_backward = v_2; + return true; + } + + public boolean stem() { + int v_1; + int v_2; + int v_3; + int v_4; + // (, line 64 + // do, line 66 + v_1 = cursor; + lab0: do { + // call mark_regions, line 66 + if (!r_mark_regions()) + { + break lab0; + } + } while (false); + cursor = v_1; + // backwards, line 67 + limit_backward = cursor; cursor = limit; + // (, line 67 + // do, line 68 + v_2 = limit - cursor; + lab1: do { + // call main_suffix, line 68 + if (!r_main_suffix()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 69 + v_3 = limit - cursor; + lab2: do { + // call consonant_pair, line 69 + if (!r_consonant_pair()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + // do, line 70 + v_4 = limit - cursor; + lab3: do { + // call other_suffix, line 70 + if (!r_other_suffix()) + { + break lab3; + } + } while (false); + cursor = limit - v_4; + cursor = limit_backward; return true; + } + + public boolean equals( Object o ) { + return o instanceof swedishStemmer; + } + + public int hashCode() { + return swedishStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/lib/org/tartarus/snowball/ext/turkishStemmer.java b/lib/org/tartarus/snowball/ext/turkishStemmer.java new file mode 100644 index 00000000..0bf3b51c --- /dev/null +++ b/lib/org/tartarus/snowball/ext/turkishStemmer.java @@ -0,0 +1,3146 @@ +// This file was generated automatically by the Snowball to Java compiler + +package org.tartarus.snowball.ext; + +import org.tartarus.snowball.Among; + + /** + * This class was automatically generated by a Snowball to Java compiler + * It implements the stemming algorithm defined by a snowball script. + */ + +public class turkishStemmer extends org.tartarus.snowball.SnowballStemmer { + +private static final long serialVersionUID = 1L; + + private final static turkishStemmer methodObject = new turkishStemmer (); + + private final static Among a_0[] = { + new Among ( "m", -1, -1, "", methodObject ), + new Among ( "n", -1, -1, "", methodObject ), + new Among ( "miz", -1, -1, "", methodObject ), + new Among ( "niz", -1, -1, "", methodObject ), + new Among ( "muz", -1, -1, "", methodObject ), + new Among ( "nuz", -1, -1, "", methodObject ), + new Among ( "m\u00FCz", -1, -1, "", methodObject ), + new Among ( "n\u00FCz", -1, -1, "", methodObject ), + new Among ( "m\u0131z", -1, -1, "", methodObject ), + new Among ( "n\u0131z", -1, -1, "", methodObject ) + }; + + private final static Among a_1[] = { + new Among ( "leri", -1, -1, "", methodObject ), + new Among ( "lar\u0131", -1, -1, "", methodObject ) + }; + + private final static Among a_2[] = { + new Among ( "ni", -1, -1, "", methodObject ), + new Among ( "nu", -1, -1, "", methodObject ), + new Among ( "n\u00FC", -1, -1, "", methodObject ), + new Among ( "n\u0131", -1, -1, "", methodObject ) + }; + + private final static Among a_3[] = { + new Among ( "in", -1, -1, "", methodObject ), + new Among ( "un", -1, -1, "", methodObject ), + new Among ( "\u00FCn", -1, -1, "", methodObject ), + new Among ( "\u0131n", -1, -1, "", methodObject ) + }; + + private final static Among a_4[] = { + new Among ( "a", -1, -1, "", methodObject ), + new Among ( "e", -1, -1, "", methodObject ) + }; + + private final static Among a_5[] = { + new Among ( "na", -1, -1, "", methodObject ), + new Among ( "ne", -1, -1, "", methodObject ) + }; + + private final static Among a_6[] = { + new Among ( "da", -1, -1, "", methodObject ), + new Among ( "ta", -1, -1, "", methodObject ), + new Among ( "de", -1, -1, "", methodObject ), + new Among ( "te", -1, -1, "", methodObject ) + }; + + private final static Among a_7[] = { + new Among ( "nda", -1, -1, "", methodObject ), + new Among ( "nde", -1, -1, "", methodObject ) + }; + + private final static Among a_8[] = { + new Among ( "dan", -1, -1, "", methodObject ), + new Among ( "tan", -1, -1, "", methodObject ), + new Among ( "den", -1, -1, "", methodObject ), + new Among ( "ten", -1, -1, "", methodObject ) + }; + + private final static Among a_9[] = { + new Among ( "ndan", -1, -1, "", methodObject ), + new Among ( "nden", -1, -1, "", methodObject ) + }; + + private final static Among a_10[] = { + new Among ( "la", -1, -1, "", methodObject ), + new Among ( "le", -1, -1, "", methodObject ) + }; + + private final static Among a_11[] = { + new Among ( "ca", -1, -1, "", methodObject ), + new Among ( "ce", -1, -1, "", methodObject ) + }; + + private final static Among a_12[] = { + new Among ( "im", -1, -1, "", methodObject ), + new Among ( "um", -1, -1, "", methodObject ), + new Among ( "\u00FCm", -1, -1, "", methodObject ), + new Among ( "\u0131m", -1, -1, "", methodObject ) + }; + + private final static Among a_13[] = { + new Among ( "sin", -1, -1, "", methodObject ), + new Among ( "sun", -1, -1, "", methodObject ), + new Among ( "s\u00FCn", -1, -1, "", methodObject ), + new Among ( "s\u0131n", -1, -1, "", methodObject ) + }; + + private final static Among a_14[] = { + new Among ( "iz", -1, -1, "", methodObject ), + new Among ( "uz", -1, -1, "", methodObject ), + new Among ( "\u00FCz", -1, -1, "", methodObject ), + new Among ( "\u0131z", -1, -1, "", methodObject ) + }; + + private final static Among a_15[] = { + new Among ( "siniz", -1, -1, "", methodObject ), + new Among ( "sunuz", -1, -1, "", methodObject ), + new Among ( "s\u00FCn\u00FCz", -1, -1, "", methodObject ), + new Among ( "s\u0131n\u0131z", -1, -1, "", methodObject ) + }; + + private final static Among a_16[] = { + new Among ( "lar", -1, -1, "", methodObject ), + new Among ( "ler", -1, -1, "", methodObject ) + }; + + private final static Among a_17[] = { + new Among ( "niz", -1, -1, "", methodObject ), + new Among ( "nuz", -1, -1, "", methodObject ), + new Among ( "n\u00FCz", -1, -1, "", methodObject ), + new Among ( "n\u0131z", -1, -1, "", methodObject ) + }; + + private final static Among a_18[] = { + new Among ( "dir", -1, -1, "", methodObject ), + new Among ( "tir", -1, -1, "", methodObject ), + new Among ( "dur", -1, -1, "", methodObject ), + new Among ( "tur", -1, -1, "", methodObject ), + new Among ( "d\u00FCr", -1, -1, "", methodObject ), + new Among ( "t\u00FCr", -1, -1, "", methodObject ), + new Among ( "d\u0131r", -1, -1, "", methodObject ), + new Among ( "t\u0131r", -1, -1, "", methodObject ) + }; + + private final static Among a_19[] = { + new Among ( "cas\u0131na", -1, -1, "", methodObject ), + new Among ( "cesine", -1, -1, "", methodObject ) + }; + + private final static Among a_20[] = { + new Among ( "di", -1, -1, "", methodObject ), + new Among ( "ti", -1, -1, "", methodObject ), + new Among ( "dik", -1, -1, "", methodObject ), + new Among ( "tik", -1, -1, "", methodObject ), + new Among ( "duk", -1, -1, "", methodObject ), + new Among ( "tuk", -1, -1, "", methodObject ), + new Among ( "d\u00FCk", -1, -1, "", methodObject ), + new Among ( "t\u00FCk", -1, -1, "", methodObject ), + new Among ( "d\u0131k", -1, -1, "", methodObject ), + new Among ( "t\u0131k", -1, -1, "", methodObject ), + new Among ( "dim", -1, -1, "", methodObject ), + new Among ( "tim", -1, -1, "", methodObject ), + new Among ( "dum", -1, -1, "", methodObject ), + new Among ( "tum", -1, -1, "", methodObject ), + new Among ( "d\u00FCm", -1, -1, "", methodObject ), + new Among ( "t\u00FCm", -1, -1, "", methodObject ), + new Among ( "d\u0131m", -1, -1, "", methodObject ), + new Among ( "t\u0131m", -1, -1, "", methodObject ), + new Among ( "din", -1, -1, "", methodObject ), + new Among ( "tin", -1, -1, "", methodObject ), + new Among ( "dun", -1, -1, "", methodObject ), + new Among ( "tun", -1, -1, "", methodObject ), + new Among ( "d\u00FCn", -1, -1, "", methodObject ), + new Among ( "t\u00FCn", -1, -1, "", methodObject ), + new Among ( "d\u0131n", -1, -1, "", methodObject ), + new Among ( "t\u0131n", -1, -1, "", methodObject ), + new Among ( "du", -1, -1, "", methodObject ), + new Among ( "tu", -1, -1, "", methodObject ), + new Among ( "d\u00FC", -1, -1, "", methodObject ), + new Among ( "t\u00FC", -1, -1, "", methodObject ), + new Among ( "d\u0131", -1, -1, "", methodObject ), + new Among ( "t\u0131", -1, -1, "", methodObject ) + }; + + private final static Among a_21[] = { + new Among ( "sa", -1, -1, "", methodObject ), + new Among ( "se", -1, -1, "", methodObject ), + new Among ( "sak", -1, -1, "", methodObject ), + new Among ( "sek", -1, -1, "", methodObject ), + new Among ( "sam", -1, -1, "", methodObject ), + new Among ( "sem", -1, -1, "", methodObject ), + new Among ( "san", -1, -1, "", methodObject ), + new Among ( "sen", -1, -1, "", methodObject ) + }; + + private final static Among a_22[] = { + new Among ( "mi\u015F", -1, -1, "", methodObject ), + new Among ( "mu\u015F", -1, -1, "", methodObject ), + new Among ( "m\u00FC\u015F", -1, -1, "", methodObject ), + new Among ( "m\u0131\u015F", -1, -1, "", methodObject ) + }; + + private final static Among a_23[] = { + new Among ( "b", -1, 1, "", methodObject ), + new Among ( "c", -1, 2, "", methodObject ), + new Among ( "d", -1, 3, "", methodObject ), + new Among ( "\u011F", -1, 4, "", methodObject ) + }; + + private static final char g_vowel[] = {17, 65, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 8, 0, 0, 0, 0, 0, 0, 1 }; + + private static final char g_U[] = {1, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 1 }; + + private static final char g_vowel1[] = {1, 64, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 }; + + private static final char g_vowel2[] = {17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 130 }; + + private static final char g_vowel3[] = {1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 }; + + private static final char g_vowel4[] = {17 }; + + private static final char g_vowel5[] = {65 }; + + private static final char g_vowel6[] = {65 }; + + private boolean B_continue_stemming_noun_suffixes; + private int I_strlen; + + private void copy_from(turkishStemmer other) { + B_continue_stemming_noun_suffixes = other.B_continue_stemming_noun_suffixes; + I_strlen = other.I_strlen; + super.copy_from(other); + } + + private boolean r_check_vowel_harmony() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + int v_11; + // (, line 111 + // test, line 112 + v_1 = limit - cursor; + // (, line 113 + // (, line 114 + // goto, line 114 + golab0: while(true) + { + v_2 = limit - cursor; + lab1: do { + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab1; + } + cursor = limit - v_2; + break golab0; + } while (false); + cursor = limit - v_2; + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + // (, line 115 + // or, line 116 + lab2: do { + v_3 = limit - cursor; + lab3: do { + // (, line 116 + // literal, line 116 + if (!(eq_s_b(1, "a"))) + { + break lab3; + } + // goto, line 116 + golab4: while(true) + { + v_4 = limit - cursor; + lab5: do { + if (!(in_grouping_b(g_vowel1, 97, 305))) + { + break lab5; + } + cursor = limit - v_4; + break golab4; + } while (false); + cursor = limit - v_4; + if (cursor <= limit_backward) + { + break lab3; + } + cursor--; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab6: do { + // (, line 117 + // literal, line 117 + if (!(eq_s_b(1, "e"))) + { + break lab6; + } + // goto, line 117 + golab7: while(true) + { + v_5 = limit - cursor; + lab8: do { + if (!(in_grouping_b(g_vowel2, 101, 252))) + { + break lab8; + } + cursor = limit - v_5; + break golab7; + } while (false); + cursor = limit - v_5; + if (cursor <= limit_backward) + { + break lab6; + } + cursor--; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab9: do { + // (, line 118 + // literal, line 118 + if (!(eq_s_b(1, "\u0131"))) + { + break lab9; + } + // goto, line 118 + golab10: while(true) + { + v_6 = limit - cursor; + lab11: do { + if (!(in_grouping_b(g_vowel3, 97, 305))) + { + break lab11; + } + cursor = limit - v_6; + break golab10; + } while (false); + cursor = limit - v_6; + if (cursor <= limit_backward) + { + break lab9; + } + cursor--; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab12: do { + // (, line 119 + // literal, line 119 + if (!(eq_s_b(1, "i"))) + { + break lab12; + } + // goto, line 119 + golab13: while(true) + { + v_7 = limit - cursor; + lab14: do { + if (!(in_grouping_b(g_vowel4, 101, 105))) + { + break lab14; + } + cursor = limit - v_7; + break golab13; + } while (false); + cursor = limit - v_7; + if (cursor <= limit_backward) + { + break lab12; + } + cursor--; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab15: do { + // (, line 120 + // literal, line 120 + if (!(eq_s_b(1, "o"))) + { + break lab15; + } + // goto, line 120 + golab16: while(true) + { + v_8 = limit - cursor; + lab17: do { + if (!(in_grouping_b(g_vowel5, 111, 117))) + { + break lab17; + } + cursor = limit - v_8; + break golab16; + } while (false); + cursor = limit - v_8; + if (cursor <= limit_backward) + { + break lab15; + } + cursor--; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab18: do { + // (, line 121 + // literal, line 121 + if (!(eq_s_b(1, "\u00F6"))) + { + break lab18; + } + // goto, line 121 + golab19: while(true) + { + v_9 = limit - cursor; + lab20: do { + if (!(in_grouping_b(g_vowel6, 246, 252))) + { + break lab20; + } + cursor = limit - v_9; + break golab19; + } while (false); + cursor = limit - v_9; + if (cursor <= limit_backward) + { + break lab18; + } + cursor--; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab21: do { + // (, line 122 + // literal, line 122 + if (!(eq_s_b(1, "u"))) + { + break lab21; + } + // goto, line 122 + golab22: while(true) + { + v_10 = limit - cursor; + lab23: do { + if (!(in_grouping_b(g_vowel5, 111, 117))) + { + break lab23; + } + cursor = limit - v_10; + break golab22; + } while (false); + cursor = limit - v_10; + if (cursor <= limit_backward) + { + break lab21; + } + cursor--; + } + break lab2; + } while (false); + cursor = limit - v_3; + // (, line 123 + // literal, line 123 + if (!(eq_s_b(1, "\u00FC"))) + { + return false; + } + // goto, line 123 + golab24: while(true) + { + v_11 = limit - cursor; + lab25: do { + if (!(in_grouping_b(g_vowel6, 246, 252))) + { + break lab25; + } + cursor = limit - v_11; + break golab24; + } while (false); + cursor = limit - v_11; + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + } while (false); + cursor = limit - v_1; + return true; + } + + private boolean r_mark_suffix_with_optional_n_consonant() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + // (, line 132 + // or, line 134 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 133 + // (, line 133 + // test, line 133 + v_2 = limit - cursor; + // literal, line 133 + if (!(eq_s_b(1, "n"))) + { + break lab1; + } + cursor = limit - v_2; + // next, line 133 + if (cursor <= limit_backward) + { + break lab1; + } + cursor--; + // (, line 133 + // test, line 133 + v_3 = limit - cursor; + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab1; + } + cursor = limit - v_3; + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 135 + // (, line 135 + // not, line 135 + { + v_4 = limit - cursor; + lab2: do { + // (, line 135 + // test, line 135 + v_5 = limit - cursor; + // literal, line 135 + if (!(eq_s_b(1, "n"))) + { + break lab2; + } + cursor = limit - v_5; + return false; + } while (false); + cursor = limit - v_4; + } + // test, line 135 + v_6 = limit - cursor; + // (, line 135 + // next, line 135 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // (, line 135 + // test, line 135 + v_7 = limit - cursor; + if (!(in_grouping_b(g_vowel, 97, 305))) + { + return false; + } + cursor = limit - v_7; + cursor = limit - v_6; + } while (false); + return true; + } + + private boolean r_mark_suffix_with_optional_s_consonant() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + // (, line 143 + // or, line 145 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 144 + // (, line 144 + // test, line 144 + v_2 = limit - cursor; + // literal, line 144 + if (!(eq_s_b(1, "s"))) + { + break lab1; + } + cursor = limit - v_2; + // next, line 144 + if (cursor <= limit_backward) + { + break lab1; + } + cursor--; + // (, line 144 + // test, line 144 + v_3 = limit - cursor; + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab1; + } + cursor = limit - v_3; + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 146 + // (, line 146 + // not, line 146 + { + v_4 = limit - cursor; + lab2: do { + // (, line 146 + // test, line 146 + v_5 = limit - cursor; + // literal, line 146 + if (!(eq_s_b(1, "s"))) + { + break lab2; + } + cursor = limit - v_5; + return false; + } while (false); + cursor = limit - v_4; + } + // test, line 146 + v_6 = limit - cursor; + // (, line 146 + // next, line 146 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // (, line 146 + // test, line 146 + v_7 = limit - cursor; + if (!(in_grouping_b(g_vowel, 97, 305))) + { + return false; + } + cursor = limit - v_7; + cursor = limit - v_6; + } while (false); + return true; + } + + private boolean r_mark_suffix_with_optional_y_consonant() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + // (, line 153 + // or, line 155 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 154 + // (, line 154 + // test, line 154 + v_2 = limit - cursor; + // literal, line 154 + if (!(eq_s_b(1, "y"))) + { + break lab1; + } + cursor = limit - v_2; + // next, line 154 + if (cursor <= limit_backward) + { + break lab1; + } + cursor--; + // (, line 154 + // test, line 154 + v_3 = limit - cursor; + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab1; + } + cursor = limit - v_3; + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 156 + // (, line 156 + // not, line 156 + { + v_4 = limit - cursor; + lab2: do { + // (, line 156 + // test, line 156 + v_5 = limit - cursor; + // literal, line 156 + if (!(eq_s_b(1, "y"))) + { + break lab2; + } + cursor = limit - v_5; + return false; + } while (false); + cursor = limit - v_4; + } + // test, line 156 + v_6 = limit - cursor; + // (, line 156 + // next, line 156 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // (, line 156 + // test, line 156 + v_7 = limit - cursor; + if (!(in_grouping_b(g_vowel, 97, 305))) + { + return false; + } + cursor = limit - v_7; + cursor = limit - v_6; + } while (false); + return true; + } + + private boolean r_mark_suffix_with_optional_U_vowel() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + // (, line 159 + // or, line 161 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 160 + // (, line 160 + // test, line 160 + v_2 = limit - cursor; + if (!(in_grouping_b(g_U, 105, 305))) + { + break lab1; + } + cursor = limit - v_2; + // next, line 160 + if (cursor <= limit_backward) + { + break lab1; + } + cursor--; + // (, line 160 + // test, line 160 + v_3 = limit - cursor; + if (!(out_grouping_b(g_vowel, 97, 305))) + { + break lab1; + } + cursor = limit - v_3; + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 162 + // (, line 162 + // not, line 162 + { + v_4 = limit - cursor; + lab2: do { + // (, line 162 + // test, line 162 + v_5 = limit - cursor; + if (!(in_grouping_b(g_U, 105, 305))) + { + break lab2; + } + cursor = limit - v_5; + return false; + } while (false); + cursor = limit - v_4; + } + // test, line 162 + v_6 = limit - cursor; + // (, line 162 + // next, line 162 + if (cursor <= limit_backward) + { + return false; + } + cursor--; + // (, line 162 + // test, line 162 + v_7 = limit - cursor; + if (!(out_grouping_b(g_vowel, 97, 305))) + { + return false; + } + cursor = limit - v_7; + cursor = limit - v_6; + } while (false); + return true; + } + + private boolean r_mark_possessives() { + // (, line 166 + // among, line 167 + if (find_among_b(a_0, 10) == 0) + { + return false; + } + // (, line 169 + // call mark_suffix_with_optional_U_vowel, line 169 + if (!r_mark_suffix_with_optional_U_vowel()) + { + return false; + } + return true; + } + + private boolean r_mark_sU() { + // (, line 172 + // call check_vowel_harmony, line 173 + if (!r_check_vowel_harmony()) + { + return false; + } + if (!(in_grouping_b(g_U, 105, 305))) + { + return false; + } + // (, line 175 + // call mark_suffix_with_optional_s_consonant, line 175 + if (!r_mark_suffix_with_optional_s_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_lArI() { + // (, line 178 + // among, line 179 + if (find_among_b(a_1, 2) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_yU() { + // (, line 182 + // call check_vowel_harmony, line 183 + if (!r_check_vowel_harmony()) + { + return false; + } + if (!(in_grouping_b(g_U, 105, 305))) + { + return false; + } + // (, line 185 + // call mark_suffix_with_optional_y_consonant, line 185 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_nU() { + // (, line 188 + // call check_vowel_harmony, line 189 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 190 + if (find_among_b(a_2, 4) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_nUn() { + // (, line 193 + // call check_vowel_harmony, line 194 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 195 + if (find_among_b(a_3, 4) == 0) + { + return false; + } + // (, line 196 + // call mark_suffix_with_optional_n_consonant, line 196 + if (!r_mark_suffix_with_optional_n_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_yA() { + // (, line 199 + // call check_vowel_harmony, line 200 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 201 + if (find_among_b(a_4, 2) == 0) + { + return false; + } + // (, line 202 + // call mark_suffix_with_optional_y_consonant, line 202 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_nA() { + // (, line 205 + // call check_vowel_harmony, line 206 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 207 + if (find_among_b(a_5, 2) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_DA() { + // (, line 210 + // call check_vowel_harmony, line 211 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 212 + if (find_among_b(a_6, 4) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_ndA() { + // (, line 215 + // call check_vowel_harmony, line 216 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 217 + if (find_among_b(a_7, 2) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_DAn() { + // (, line 220 + // call check_vowel_harmony, line 221 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 222 + if (find_among_b(a_8, 4) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_ndAn() { + // (, line 225 + // call check_vowel_harmony, line 226 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 227 + if (find_among_b(a_9, 2) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_ylA() { + // (, line 230 + // call check_vowel_harmony, line 231 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 232 + if (find_among_b(a_10, 2) == 0) + { + return false; + } + // (, line 233 + // call mark_suffix_with_optional_y_consonant, line 233 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_ki() { + // (, line 236 + // literal, line 237 + if (!(eq_s_b(2, "ki"))) + { + return false; + } + return true; + } + + private boolean r_mark_ncA() { + // (, line 240 + // call check_vowel_harmony, line 241 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 242 + if (find_among_b(a_11, 2) == 0) + { + return false; + } + // (, line 243 + // call mark_suffix_with_optional_n_consonant, line 243 + if (!r_mark_suffix_with_optional_n_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_yUm() { + // (, line 246 + // call check_vowel_harmony, line 247 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 248 + if (find_among_b(a_12, 4) == 0) + { + return false; + } + // (, line 249 + // call mark_suffix_with_optional_y_consonant, line 249 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_sUn() { + // (, line 252 + // call check_vowel_harmony, line 253 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 254 + if (find_among_b(a_13, 4) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_yUz() { + // (, line 257 + // call check_vowel_harmony, line 258 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 259 + if (find_among_b(a_14, 4) == 0) + { + return false; + } + // (, line 260 + // call mark_suffix_with_optional_y_consonant, line 260 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_sUnUz() { + // (, line 263 + // among, line 264 + if (find_among_b(a_15, 4) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_lAr() { + // (, line 267 + // call check_vowel_harmony, line 268 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 269 + if (find_among_b(a_16, 2) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_nUz() { + // (, line 272 + // call check_vowel_harmony, line 273 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 274 + if (find_among_b(a_17, 4) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_DUr() { + // (, line 277 + // call check_vowel_harmony, line 278 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 279 + if (find_among_b(a_18, 8) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_cAsInA() { + // (, line 282 + // among, line 283 + if (find_among_b(a_19, 2) == 0) + { + return false; + } + return true; + } + + private boolean r_mark_yDU() { + // (, line 286 + // call check_vowel_harmony, line 287 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 288 + if (find_among_b(a_20, 32) == 0) + { + return false; + } + // (, line 292 + // call mark_suffix_with_optional_y_consonant, line 292 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_ysA() { + // (, line 296 + // among, line 297 + if (find_among_b(a_21, 8) == 0) + { + return false; + } + // (, line 298 + // call mark_suffix_with_optional_y_consonant, line 298 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_ymUs_() { + // (, line 301 + // call check_vowel_harmony, line 302 + if (!r_check_vowel_harmony()) + { + return false; + } + // among, line 303 + if (find_among_b(a_22, 4) == 0) + { + return false; + } + // (, line 304 + // call mark_suffix_with_optional_y_consonant, line 304 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_mark_yken() { + // (, line 307 + // literal, line 308 + if (!(eq_s_b(3, "ken"))) + { + return false; + } + // (, line 308 + // call mark_suffix_with_optional_y_consonant, line 308 + if (!r_mark_suffix_with_optional_y_consonant()) + { + return false; + } + return true; + } + + private boolean r_stem_nominal_verb_suffixes() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + // (, line 311 + // [, line 312 + ket = cursor; + // set continue_stemming_noun_suffixes, line 313 + B_continue_stemming_noun_suffixes = true; + // or, line 315 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 314 + // or, line 314 + lab2: do { + v_2 = limit - cursor; + lab3: do { + // call mark_ymUs_, line 314 + if (!r_mark_ymUs_()) + { + break lab3; + } + break lab2; + } while (false); + cursor = limit - v_2; + lab4: do { + // call mark_yDU, line 314 + if (!r_mark_yDU()) + { + break lab4; + } + break lab2; + } while (false); + cursor = limit - v_2; + lab5: do { + // call mark_ysA, line 314 + if (!r_mark_ysA()) + { + break lab5; + } + break lab2; + } while (false); + cursor = limit - v_2; + // call mark_yken, line 314 + if (!r_mark_yken()) + { + break lab1; + } + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab6: do { + // (, line 316 + // call mark_cAsInA, line 316 + if (!r_mark_cAsInA()) + { + break lab6; + } + // (, line 316 + // or, line 316 + lab7: do { + v_3 = limit - cursor; + lab8: do { + // call mark_sUnUz, line 316 + if (!r_mark_sUnUz()) + { + break lab8; + } + break lab7; + } while (false); + cursor = limit - v_3; + lab9: do { + // call mark_lAr, line 316 + if (!r_mark_lAr()) + { + break lab9; + } + break lab7; + } while (false); + cursor = limit - v_3; + lab10: do { + // call mark_yUm, line 316 + if (!r_mark_yUm()) + { + break lab10; + } + break lab7; + } while (false); + cursor = limit - v_3; + lab11: do { + // call mark_sUn, line 316 + if (!r_mark_sUn()) + { + break lab11; + } + break lab7; + } while (false); + cursor = limit - v_3; + lab12: do { + // call mark_yUz, line 316 + if (!r_mark_yUz()) + { + break lab12; + } + break lab7; + } while (false); + cursor = limit - v_3; + } while (false); + // call mark_ymUs_, line 316 + if (!r_mark_ymUs_()) + { + break lab6; + } + break lab0; + } while (false); + cursor = limit - v_1; + lab13: do { + // (, line 318 + // call mark_lAr, line 319 + if (!r_mark_lAr()) + { + break lab13; + } + // ], line 319 + bra = cursor; + // delete, line 319 + slice_del(); + // try, line 319 + v_4 = limit - cursor; + lab14: do { + // (, line 319 + // [, line 319 + ket = cursor; + // (, line 319 + // or, line 319 + lab15: do { + v_5 = limit - cursor; + lab16: do { + // call mark_DUr, line 319 + if (!r_mark_DUr()) + { + break lab16; + } + break lab15; + } while (false); + cursor = limit - v_5; + lab17: do { + // call mark_yDU, line 319 + if (!r_mark_yDU()) + { + break lab17; + } + break lab15; + } while (false); + cursor = limit - v_5; + lab18: do { + // call mark_ysA, line 319 + if (!r_mark_ysA()) + { + break lab18; + } + break lab15; + } while (false); + cursor = limit - v_5; + // call mark_ymUs_, line 319 + if (!r_mark_ymUs_()) + { + cursor = limit - v_4; + break lab14; + } + } while (false); + } while (false); + // unset continue_stemming_noun_suffixes, line 320 + B_continue_stemming_noun_suffixes = false; + break lab0; + } while (false); + cursor = limit - v_1; + lab19: do { + // (, line 323 + // call mark_nUz, line 323 + if (!r_mark_nUz()) + { + break lab19; + } + // (, line 323 + // or, line 323 + lab20: do { + v_6 = limit - cursor; + lab21: do { + // call mark_yDU, line 323 + if (!r_mark_yDU()) + { + break lab21; + } + break lab20; + } while (false); + cursor = limit - v_6; + // call mark_ysA, line 323 + if (!r_mark_ysA()) + { + break lab19; + } + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab22: do { + // (, line 325 + // (, line 325 + // or, line 325 + lab23: do { + v_7 = limit - cursor; + lab24: do { + // call mark_sUnUz, line 325 + if (!r_mark_sUnUz()) + { + break lab24; + } + break lab23; + } while (false); + cursor = limit - v_7; + lab25: do { + // call mark_yUz, line 325 + if (!r_mark_yUz()) + { + break lab25; + } + break lab23; + } while (false); + cursor = limit - v_7; + lab26: do { + // call mark_sUn, line 325 + if (!r_mark_sUn()) + { + break lab26; + } + break lab23; + } while (false); + cursor = limit - v_7; + // call mark_yUm, line 325 + if (!r_mark_yUm()) + { + break lab22; + } + } while (false); + // ], line 325 + bra = cursor; + // delete, line 325 + slice_del(); + // try, line 325 + v_8 = limit - cursor; + lab27: do { + // (, line 325 + // [, line 325 + ket = cursor; + // call mark_ymUs_, line 325 + if (!r_mark_ymUs_()) + { + cursor = limit - v_8; + break lab27; + } + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 327 + // call mark_DUr, line 327 + if (!r_mark_DUr()) + { + return false; + } + // ], line 327 + bra = cursor; + // delete, line 327 + slice_del(); + // try, line 327 + v_9 = limit - cursor; + lab28: do { + // (, line 327 + // [, line 327 + ket = cursor; + // (, line 327 + // or, line 327 + lab29: do { + v_10 = limit - cursor; + lab30: do { + // call mark_sUnUz, line 327 + if (!r_mark_sUnUz()) + { + break lab30; + } + break lab29; + } while (false); + cursor = limit - v_10; + lab31: do { + // call mark_lAr, line 327 + if (!r_mark_lAr()) + { + break lab31; + } + break lab29; + } while (false); + cursor = limit - v_10; + lab32: do { + // call mark_yUm, line 327 + if (!r_mark_yUm()) + { + break lab32; + } + break lab29; + } while (false); + cursor = limit - v_10; + lab33: do { + // call mark_sUn, line 327 + if (!r_mark_sUn()) + { + break lab33; + } + break lab29; + } while (false); + cursor = limit - v_10; + lab34: do { + // call mark_yUz, line 327 + if (!r_mark_yUz()) + { + break lab34; + } + break lab29; + } while (false); + cursor = limit - v_10; + } while (false); + // call mark_ymUs_, line 327 + if (!r_mark_ymUs_()) + { + cursor = limit - v_9; + break lab28; + } + } while (false); + } while (false); + // ], line 328 + bra = cursor; + // delete, line 328 + slice_del(); + return true; + } + + private boolean r_stem_suffix_chain_before_ki() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + int v_11; + // (, line 332 + // [, line 333 + ket = cursor; + // call mark_ki, line 334 + if (!r_mark_ki()) + { + return false; + } + // (, line 335 + // or, line 342 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 336 + // call mark_DA, line 336 + if (!r_mark_DA()) + { + break lab1; + } + // ], line 336 + bra = cursor; + // delete, line 336 + slice_del(); + // try, line 336 + v_2 = limit - cursor; + lab2: do { + // (, line 336 + // [, line 336 + ket = cursor; + // or, line 338 + lab3: do { + v_3 = limit - cursor; + lab4: do { + // (, line 337 + // call mark_lAr, line 337 + if (!r_mark_lAr()) + { + break lab4; + } + // ], line 337 + bra = cursor; + // delete, line 337 + slice_del(); + // try, line 337 + v_4 = limit - cursor; + lab5: do { + // (, line 337 + // call stem_suffix_chain_before_ki, line 337 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_4; + break lab5; + } + } while (false); + break lab3; + } while (false); + cursor = limit - v_3; + // (, line 339 + // call mark_possessives, line 339 + if (!r_mark_possessives()) + { + cursor = limit - v_2; + break lab2; + } + // ], line 339 + bra = cursor; + // delete, line 339 + slice_del(); + // try, line 339 + v_5 = limit - cursor; + lab6: do { + // (, line 339 + // [, line 339 + ket = cursor; + // call mark_lAr, line 339 + if (!r_mark_lAr()) + { + cursor = limit - v_5; + break lab6; + } + // ], line 339 + bra = cursor; + // delete, line 339 + slice_del(); + // call stem_suffix_chain_before_ki, line 339 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_5; + break lab6; + } + } while (false); + } while (false); + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab7: do { + // (, line 343 + // call mark_nUn, line 343 + if (!r_mark_nUn()) + { + break lab7; + } + // ], line 343 + bra = cursor; + // delete, line 343 + slice_del(); + // try, line 343 + v_6 = limit - cursor; + lab8: do { + // (, line 343 + // [, line 343 + ket = cursor; + // or, line 345 + lab9: do { + v_7 = limit - cursor; + lab10: do { + // (, line 344 + // call mark_lArI, line 344 + if (!r_mark_lArI()) + { + break lab10; + } + // ], line 344 + bra = cursor; + // delete, line 344 + slice_del(); + break lab9; + } while (false); + cursor = limit - v_7; + lab11: do { + // (, line 346 + // [, line 346 + ket = cursor; + // or, line 346 + lab12: do { + v_8 = limit - cursor; + lab13: do { + // call mark_possessives, line 346 + if (!r_mark_possessives()) + { + break lab13; + } + break lab12; + } while (false); + cursor = limit - v_8; + // call mark_sU, line 346 + if (!r_mark_sU()) + { + break lab11; + } + } while (false); + // ], line 346 + bra = cursor; + // delete, line 346 + slice_del(); + // try, line 346 + v_9 = limit - cursor; + lab14: do { + // (, line 346 + // [, line 346 + ket = cursor; + // call mark_lAr, line 346 + if (!r_mark_lAr()) + { + cursor = limit - v_9; + break lab14; + } + // ], line 346 + bra = cursor; + // delete, line 346 + slice_del(); + // call stem_suffix_chain_before_ki, line 346 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_9; + break lab14; + } + } while (false); + break lab9; + } while (false); + cursor = limit - v_7; + // (, line 348 + // call stem_suffix_chain_before_ki, line 348 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_6; + break lab8; + } + } while (false); + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 351 + // call mark_ndA, line 351 + if (!r_mark_ndA()) + { + return false; + } + // (, line 351 + // or, line 353 + lab15: do { + v_10 = limit - cursor; + lab16: do { + // (, line 352 + // call mark_lArI, line 352 + if (!r_mark_lArI()) + { + break lab16; + } + // ], line 352 + bra = cursor; + // delete, line 352 + slice_del(); + break lab15; + } while (false); + cursor = limit - v_10; + lab17: do { + // (, line 354 + // (, line 354 + // call mark_sU, line 354 + if (!r_mark_sU()) + { + break lab17; + } + // ], line 354 + bra = cursor; + // delete, line 354 + slice_del(); + // try, line 354 + v_11 = limit - cursor; + lab18: do { + // (, line 354 + // [, line 354 + ket = cursor; + // call mark_lAr, line 354 + if (!r_mark_lAr()) + { + cursor = limit - v_11; + break lab18; + } + // ], line 354 + bra = cursor; + // delete, line 354 + slice_del(); + // call stem_suffix_chain_before_ki, line 354 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_11; + break lab18; + } + } while (false); + break lab15; + } while (false); + cursor = limit - v_10; + // (, line 356 + // call stem_suffix_chain_before_ki, line 356 + if (!r_stem_suffix_chain_before_ki()) + { + return false; + } + } while (false); + } while (false); + return true; + } + + private boolean r_stem_noun_suffixes() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + int v_11; + int v_12; + int v_13; + int v_14; + int v_15; + int v_16; + int v_17; + int v_18; + int v_19; + int v_20; + int v_21; + int v_22; + int v_23; + int v_24; + int v_25; + int v_26; + int v_27; + // (, line 361 + // or, line 363 + lab0: do { + v_1 = limit - cursor; + lab1: do { + // (, line 362 + // [, line 362 + ket = cursor; + // call mark_lAr, line 362 + if (!r_mark_lAr()) + { + break lab1; + } + // ], line 362 + bra = cursor; + // delete, line 362 + slice_del(); + // try, line 362 + v_2 = limit - cursor; + lab2: do { + // (, line 362 + // call stem_suffix_chain_before_ki, line 362 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_2; + break lab2; + } + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab3: do { + // (, line 364 + // [, line 364 + ket = cursor; + // call mark_ncA, line 364 + if (!r_mark_ncA()) + { + break lab3; + } + // ], line 364 + bra = cursor; + // delete, line 364 + slice_del(); + // try, line 365 + v_3 = limit - cursor; + lab4: do { + // (, line 365 + // or, line 367 + lab5: do { + v_4 = limit - cursor; + lab6: do { + // (, line 366 + // [, line 366 + ket = cursor; + // call mark_lArI, line 366 + if (!r_mark_lArI()) + { + break lab6; + } + // ], line 366 + bra = cursor; + // delete, line 366 + slice_del(); + break lab5; + } while (false); + cursor = limit - v_4; + lab7: do { + // (, line 368 + // [, line 368 + ket = cursor; + // or, line 368 + lab8: do { + v_5 = limit - cursor; + lab9: do { + // call mark_possessives, line 368 + if (!r_mark_possessives()) + { + break lab9; + } + break lab8; + } while (false); + cursor = limit - v_5; + // call mark_sU, line 368 + if (!r_mark_sU()) + { + break lab7; + } + } while (false); + // ], line 368 + bra = cursor; + // delete, line 368 + slice_del(); + // try, line 368 + v_6 = limit - cursor; + lab10: do { + // (, line 368 + // [, line 368 + ket = cursor; + // call mark_lAr, line 368 + if (!r_mark_lAr()) + { + cursor = limit - v_6; + break lab10; + } + // ], line 368 + bra = cursor; + // delete, line 368 + slice_del(); + // call stem_suffix_chain_before_ki, line 368 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_6; + break lab10; + } + } while (false); + break lab5; + } while (false); + cursor = limit - v_4; + // (, line 370 + // [, line 370 + ket = cursor; + // call mark_lAr, line 370 + if (!r_mark_lAr()) + { + cursor = limit - v_3; + break lab4; + } + // ], line 370 + bra = cursor; + // delete, line 370 + slice_del(); + // call stem_suffix_chain_before_ki, line 370 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_3; + break lab4; + } + } while (false); + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab11: do { + // (, line 374 + // [, line 374 + ket = cursor; + // (, line 374 + // or, line 374 + lab12: do { + v_7 = limit - cursor; + lab13: do { + // call mark_ndA, line 374 + if (!r_mark_ndA()) + { + break lab13; + } + break lab12; + } while (false); + cursor = limit - v_7; + // call mark_nA, line 374 + if (!r_mark_nA()) + { + break lab11; + } + } while (false); + // (, line 375 + // or, line 377 + lab14: do { + v_8 = limit - cursor; + lab15: do { + // (, line 376 + // call mark_lArI, line 376 + if (!r_mark_lArI()) + { + break lab15; + } + // ], line 376 + bra = cursor; + // delete, line 376 + slice_del(); + break lab14; + } while (false); + cursor = limit - v_8; + lab16: do { + // (, line 378 + // call mark_sU, line 378 + if (!r_mark_sU()) + { + break lab16; + } + // ], line 378 + bra = cursor; + // delete, line 378 + slice_del(); + // try, line 378 + v_9 = limit - cursor; + lab17: do { + // (, line 378 + // [, line 378 + ket = cursor; + // call mark_lAr, line 378 + if (!r_mark_lAr()) + { + cursor = limit - v_9; + break lab17; + } + // ], line 378 + bra = cursor; + // delete, line 378 + slice_del(); + // call stem_suffix_chain_before_ki, line 378 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_9; + break lab17; + } + } while (false); + break lab14; + } while (false); + cursor = limit - v_8; + // (, line 380 + // call stem_suffix_chain_before_ki, line 380 + if (!r_stem_suffix_chain_before_ki()) + { + break lab11; + } + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab18: do { + // (, line 384 + // [, line 384 + ket = cursor; + // (, line 384 + // or, line 384 + lab19: do { + v_10 = limit - cursor; + lab20: do { + // call mark_ndAn, line 384 + if (!r_mark_ndAn()) + { + break lab20; + } + break lab19; + } while (false); + cursor = limit - v_10; + // call mark_nU, line 384 + if (!r_mark_nU()) + { + break lab18; + } + } while (false); + // (, line 384 + // or, line 384 + lab21: do { + v_11 = limit - cursor; + lab22: do { + // (, line 384 + // call mark_sU, line 384 + if (!r_mark_sU()) + { + break lab22; + } + // ], line 384 + bra = cursor; + // delete, line 384 + slice_del(); + // try, line 384 + v_12 = limit - cursor; + lab23: do { + // (, line 384 + // [, line 384 + ket = cursor; + // call mark_lAr, line 384 + if (!r_mark_lAr()) + { + cursor = limit - v_12; + break lab23; + } + // ], line 384 + bra = cursor; + // delete, line 384 + slice_del(); + // call stem_suffix_chain_before_ki, line 384 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_12; + break lab23; + } + } while (false); + break lab21; + } while (false); + cursor = limit - v_11; + // (, line 384 + // call mark_lArI, line 384 + if (!r_mark_lArI()) + { + break lab18; + } + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab24: do { + // (, line 386 + // [, line 386 + ket = cursor; + // call mark_DAn, line 386 + if (!r_mark_DAn()) + { + break lab24; + } + // ], line 386 + bra = cursor; + // delete, line 386 + slice_del(); + // try, line 386 + v_13 = limit - cursor; + lab25: do { + // (, line 386 + // [, line 386 + ket = cursor; + // (, line 387 + // or, line 389 + lab26: do { + v_14 = limit - cursor; + lab27: do { + // (, line 388 + // call mark_possessives, line 388 + if (!r_mark_possessives()) + { + break lab27; + } + // ], line 388 + bra = cursor; + // delete, line 388 + slice_del(); + // try, line 388 + v_15 = limit - cursor; + lab28: do { + // (, line 388 + // [, line 388 + ket = cursor; + // call mark_lAr, line 388 + if (!r_mark_lAr()) + { + cursor = limit - v_15; + break lab28; + } + // ], line 388 + bra = cursor; + // delete, line 388 + slice_del(); + // call stem_suffix_chain_before_ki, line 388 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_15; + break lab28; + } + } while (false); + break lab26; + } while (false); + cursor = limit - v_14; + lab29: do { + // (, line 390 + // call mark_lAr, line 390 + if (!r_mark_lAr()) + { + break lab29; + } + // ], line 390 + bra = cursor; + // delete, line 390 + slice_del(); + // try, line 390 + v_16 = limit - cursor; + lab30: do { + // (, line 390 + // call stem_suffix_chain_before_ki, line 390 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_16; + break lab30; + } + } while (false); + break lab26; + } while (false); + cursor = limit - v_14; + // (, line 392 + // call stem_suffix_chain_before_ki, line 392 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_13; + break lab25; + } + } while (false); + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab31: do { + // (, line 396 + // [, line 396 + ket = cursor; + // or, line 396 + lab32: do { + v_17 = limit - cursor; + lab33: do { + // call mark_nUn, line 396 + if (!r_mark_nUn()) + { + break lab33; + } + break lab32; + } while (false); + cursor = limit - v_17; + // call mark_ylA, line 396 + if (!r_mark_ylA()) + { + break lab31; + } + } while (false); + // ], line 396 + bra = cursor; + // delete, line 396 + slice_del(); + // try, line 397 + v_18 = limit - cursor; + lab34: do { + // (, line 397 + // or, line 399 + lab35: do { + v_19 = limit - cursor; + lab36: do { + // (, line 398 + // [, line 398 + ket = cursor; + // call mark_lAr, line 398 + if (!r_mark_lAr()) + { + break lab36; + } + // ], line 398 + bra = cursor; + // delete, line 398 + slice_del(); + // call stem_suffix_chain_before_ki, line 398 + if (!r_stem_suffix_chain_before_ki()) + { + break lab36; + } + break lab35; + } while (false); + cursor = limit - v_19; + lab37: do { + // (, line 400 + // [, line 400 + ket = cursor; + // or, line 400 + lab38: do { + v_20 = limit - cursor; + lab39: do { + // call mark_possessives, line 400 + if (!r_mark_possessives()) + { + break lab39; + } + break lab38; + } while (false); + cursor = limit - v_20; + // call mark_sU, line 400 + if (!r_mark_sU()) + { + break lab37; + } + } while (false); + // ], line 400 + bra = cursor; + // delete, line 400 + slice_del(); + // try, line 400 + v_21 = limit - cursor; + lab40: do { + // (, line 400 + // [, line 400 + ket = cursor; + // call mark_lAr, line 400 + if (!r_mark_lAr()) + { + cursor = limit - v_21; + break lab40; + } + // ], line 400 + bra = cursor; + // delete, line 400 + slice_del(); + // call stem_suffix_chain_before_ki, line 400 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_21; + break lab40; + } + } while (false); + break lab35; + } while (false); + cursor = limit - v_19; + // call stem_suffix_chain_before_ki, line 402 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_18; + break lab34; + } + } while (false); + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + lab41: do { + // (, line 406 + // [, line 406 + ket = cursor; + // call mark_lArI, line 406 + if (!r_mark_lArI()) + { + break lab41; + } + // ], line 406 + bra = cursor; + // delete, line 406 + slice_del(); + break lab0; + } while (false); + cursor = limit - v_1; + lab42: do { + // (, line 408 + // call stem_suffix_chain_before_ki, line 408 + if (!r_stem_suffix_chain_before_ki()) + { + break lab42; + } + break lab0; + } while (false); + cursor = limit - v_1; + lab43: do { + // (, line 410 + // [, line 410 + ket = cursor; + // or, line 410 + lab44: do { + v_22 = limit - cursor; + lab45: do { + // call mark_DA, line 410 + if (!r_mark_DA()) + { + break lab45; + } + break lab44; + } while (false); + cursor = limit - v_22; + lab46: do { + // call mark_yU, line 410 + if (!r_mark_yU()) + { + break lab46; + } + break lab44; + } while (false); + cursor = limit - v_22; + // call mark_yA, line 410 + if (!r_mark_yA()) + { + break lab43; + } + } while (false); + // ], line 410 + bra = cursor; + // delete, line 410 + slice_del(); + // try, line 410 + v_23 = limit - cursor; + lab47: do { + // (, line 410 + // [, line 410 + ket = cursor; + // (, line 410 + // or, line 410 + lab48: do { + v_24 = limit - cursor; + lab49: do { + // (, line 410 + // call mark_possessives, line 410 + if (!r_mark_possessives()) + { + break lab49; + } + // ], line 410 + bra = cursor; + // delete, line 410 + slice_del(); + // try, line 410 + v_25 = limit - cursor; + lab50: do { + // (, line 410 + // [, line 410 + ket = cursor; + // call mark_lAr, line 410 + if (!r_mark_lAr()) + { + cursor = limit - v_25; + break lab50; + } + } while (false); + break lab48; + } while (false); + cursor = limit - v_24; + // call mark_lAr, line 410 + if (!r_mark_lAr()) + { + cursor = limit - v_23; + break lab47; + } + } while (false); + // ], line 410 + bra = cursor; + // delete, line 410 + slice_del(); + // [, line 410 + ket = cursor; + // call stem_suffix_chain_before_ki, line 410 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_23; + break lab47; + } + } while (false); + break lab0; + } while (false); + cursor = limit - v_1; + // (, line 412 + // [, line 412 + ket = cursor; + // or, line 412 + lab51: do { + v_26 = limit - cursor; + lab52: do { + // call mark_possessives, line 412 + if (!r_mark_possessives()) + { + break lab52; + } + break lab51; + } while (false); + cursor = limit - v_26; + // call mark_sU, line 412 + if (!r_mark_sU()) + { + return false; + } + } while (false); + // ], line 412 + bra = cursor; + // delete, line 412 + slice_del(); + // try, line 412 + v_27 = limit - cursor; + lab53: do { + // (, line 412 + // [, line 412 + ket = cursor; + // call mark_lAr, line 412 + if (!r_mark_lAr()) + { + cursor = limit - v_27; + break lab53; + } + // ], line 412 + bra = cursor; + // delete, line 412 + slice_del(); + // call stem_suffix_chain_before_ki, line 412 + if (!r_stem_suffix_chain_before_ki()) + { + cursor = limit - v_27; + break lab53; + } + } while (false); + } while (false); + return true; + } + + private boolean r_post_process_last_consonants() { + int among_var; + // (, line 415 + // [, line 416 + ket = cursor; + // substring, line 416 + among_var = find_among_b(a_23, 4); + if (among_var == 0) + { + return false; + } + // ], line 416 + bra = cursor; + switch(among_var) { + case 0: + return false; + case 1: + // (, line 417 + // <-, line 417 + slice_from("p"); + break; + case 2: + // (, line 418 + // <-, line 418 + slice_from("\u00E7"); + break; + case 3: + // (, line 419 + // <-, line 419 + slice_from("t"); + break; + case 4: + // (, line 420 + // <-, line 420 + slice_from("k"); + break; + } + return true; + } + + private boolean r_append_U_to_stems_ending_with_d_or_g() { + int v_1; + int v_2; + int v_3; + int v_4; + int v_5; + int v_6; + int v_7; + int v_8; + int v_9; + int v_10; + int v_11; + int v_12; + int v_13; + int v_14; + int v_15; + // (, line 430 + // test, line 431 + v_1 = limit - cursor; + // (, line 431 + // or, line 431 + lab0: do { + v_2 = limit - cursor; + lab1: do { + // literal, line 431 + if (!(eq_s_b(1, "d"))) + { + break lab1; + } + break lab0; + } while (false); + cursor = limit - v_2; + // literal, line 431 + if (!(eq_s_b(1, "g"))) + { + return false; + } + } while (false); + cursor = limit - v_1; + // or, line 433 + lab2: do { + v_3 = limit - cursor; + lab3: do { + // (, line 432 + // test, line 432 + v_4 = limit - cursor; + // (, line 432 + // (, line 432 + // goto, line 432 + golab4: while(true) + { + v_5 = limit - cursor; + lab5: do { + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab5; + } + cursor = limit - v_5; + break golab4; + } while (false); + cursor = limit - v_5; + if (cursor <= limit_backward) + { + break lab3; + } + cursor--; + } + // or, line 432 + lab6: do { + v_6 = limit - cursor; + lab7: do { + // literal, line 432 + if (!(eq_s_b(1, "a"))) + { + break lab7; + } + break lab6; + } while (false); + cursor = limit - v_6; + // literal, line 432 + if (!(eq_s_b(1, "\u0131"))) + { + break lab3; + } + } while (false); + cursor = limit - v_4; + // <+, line 432 + { + int c = cursor; + insert(cursor, cursor, "\u0131"); + cursor = c; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab8: do { + // (, line 434 + // test, line 434 + v_7 = limit - cursor; + // (, line 434 + // (, line 434 + // goto, line 434 + golab9: while(true) + { + v_8 = limit - cursor; + lab10: do { + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab10; + } + cursor = limit - v_8; + break golab9; + } while (false); + cursor = limit - v_8; + if (cursor <= limit_backward) + { + break lab8; + } + cursor--; + } + // or, line 434 + lab11: do { + v_9 = limit - cursor; + lab12: do { + // literal, line 434 + if (!(eq_s_b(1, "e"))) + { + break lab12; + } + break lab11; + } while (false); + cursor = limit - v_9; + // literal, line 434 + if (!(eq_s_b(1, "i"))) + { + break lab8; + } + } while (false); + cursor = limit - v_7; + // <+, line 434 + { + int c = cursor; + insert(cursor, cursor, "i"); + cursor = c; + } + break lab2; + } while (false); + cursor = limit - v_3; + lab13: do { + // (, line 436 + // test, line 436 + v_10 = limit - cursor; + // (, line 436 + // (, line 436 + // goto, line 436 + golab14: while(true) + { + v_11 = limit - cursor; + lab15: do { + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab15; + } + cursor = limit - v_11; + break golab14; + } while (false); + cursor = limit - v_11; + if (cursor <= limit_backward) + { + break lab13; + } + cursor--; + } + // or, line 436 + lab16: do { + v_12 = limit - cursor; + lab17: do { + // literal, line 436 + if (!(eq_s_b(1, "o"))) + { + break lab17; + } + break lab16; + } while (false); + cursor = limit - v_12; + // literal, line 436 + if (!(eq_s_b(1, "u"))) + { + break lab13; + } + } while (false); + cursor = limit - v_10; + // <+, line 436 + { + int c = cursor; + insert(cursor, cursor, "u"); + cursor = c; + } + break lab2; + } while (false); + cursor = limit - v_3; + // (, line 438 + // test, line 438 + v_13 = limit - cursor; + // (, line 438 + // (, line 438 + // goto, line 438 + golab18: while(true) + { + v_14 = limit - cursor; + lab19: do { + if (!(in_grouping_b(g_vowel, 97, 305))) + { + break lab19; + } + cursor = limit - v_14; + break golab18; + } while (false); + cursor = limit - v_14; + if (cursor <= limit_backward) + { + return false; + } + cursor--; + } + // or, line 438 + lab20: do { + v_15 = limit - cursor; + lab21: do { + // literal, line 438 + if (!(eq_s_b(1, "\u00F6"))) + { + break lab21; + } + break lab20; + } while (false); + cursor = limit - v_15; + // literal, line 438 + if (!(eq_s_b(1, "\u00FC"))) + { + return false; + } + } while (false); + cursor = limit - v_13; + // <+, line 438 + { + int c = cursor; + insert(cursor, cursor, "\u00FC"); + cursor = c; + } + } while (false); + return true; + } + + private boolean r_more_than_one_syllable_word() { + int v_1; + int v_3; + // (, line 445 + // test, line 446 + v_1 = cursor; + // (, line 446 + // atleast, line 446 + { + int v_2 = 2; + // atleast, line 446 + replab0: while(true) + { + v_3 = cursor; + lab1: do { + // (, line 446 + // gopast, line 446 + golab2: while(true) + { + lab3: do { + if (!(in_grouping(g_vowel, 97, 305))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + break lab1; + } + cursor++; + } + v_2--; + continue replab0; + } while (false); + cursor = v_3; + break replab0; + } + if (v_2 > 0) + { + return false; + } + } + cursor = v_1; + return true; + } + + private boolean r_is_reserved_word() { + int v_1; + int v_2; + int v_4; + // (, line 449 + // or, line 451 + lab0: do { + v_1 = cursor; + lab1: do { + // test, line 450 + v_2 = cursor; + // (, line 450 + // gopast, line 450 + golab2: while(true) + { + lab3: do { + // literal, line 450 + if (!(eq_s(2, "ad"))) + { + break lab3; + } + break golab2; + } while (false); + if (cursor >= limit) + { + break lab1; + } + cursor++; + } + // (, line 450 + I_strlen = 2; + // (, line 450 + if (!(I_strlen == limit)) + { + break lab1; + } + cursor = v_2; + break lab0; + } while (false); + cursor = v_1; + // test, line 452 + v_4 = cursor; + // (, line 452 + // gopast, line 452 + golab4: while(true) + { + lab5: do { + // literal, line 452 + if (!(eq_s(5, "soyad"))) + { + break lab5; + } + break golab4; + } while (false); + if (cursor >= limit) + { + return false; + } + cursor++; + } + // (, line 452 + I_strlen = 5; + // (, line 452 + if (!(I_strlen == limit)) + { + return false; + } + cursor = v_4; + } while (false); + return true; + } + + private boolean r_postlude() { + int v_1; + int v_2; + int v_3; + // (, line 455 + // not, line 456 + { + v_1 = cursor; + lab0: do { + // (, line 456 + // call is_reserved_word, line 456 + if (!r_is_reserved_word()) + { + break lab0; + } + return false; + } while (false); + cursor = v_1; + } + // backwards, line 457 + limit_backward = cursor; cursor = limit; + // (, line 457 + // do, line 458 + v_2 = limit - cursor; + lab1: do { + // call append_U_to_stems_ending_with_d_or_g, line 458 + if (!r_append_U_to_stems_ending_with_d_or_g()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + // do, line 459 + v_3 = limit - cursor; + lab2: do { + // call post_process_last_consonants, line 459 + if (!r_post_process_last_consonants()) + { + break lab2; + } + } while (false); + cursor = limit - v_3; + cursor = limit_backward; return true; + } + + public boolean stem() { + int v_1; + int v_2; + // (, line 464 + // (, line 465 + // call more_than_one_syllable_word, line 465 + if (!r_more_than_one_syllable_word()) + { + return false; + } + // (, line 466 + // backwards, line 467 + limit_backward = cursor; cursor = limit; + // (, line 467 + // do, line 468 + v_1 = limit - cursor; + lab0: do { + // call stem_nominal_verb_suffixes, line 468 + if (!r_stem_nominal_verb_suffixes()) + { + break lab0; + } + } while (false); + cursor = limit - v_1; + // Boolean test continue_stemming_noun_suffixes, line 469 + if (!(B_continue_stemming_noun_suffixes)) + { + return false; + } + // do, line 470 + v_2 = limit - cursor; + lab1: do { + // call stem_noun_suffixes, line 470 + if (!r_stem_noun_suffixes()) + { + break lab1; + } + } while (false); + cursor = limit - v_2; + cursor = limit_backward; // call postlude, line 473 + if (!r_postlude()) + { + return false; + } + return true; + } + + public boolean equals( Object o ) { + return o instanceof turkishStemmer; + } + + public int hashCode() { + return turkishStemmer.class.getName().hashCode(); + } + + + +} + diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/CooccurrenceExtractor.java b/opt/hadoop/edu/ucla/sspace/hadoop/CooccurrenceExtractor.java new file mode 100644 index 00000000..8a2403c1 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/CooccurrenceExtractor.java @@ -0,0 +1,201 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import edu.ucla.sspace.text.IteratorFactory; + +import edu.ucla.sspace.util.HadoopResourceFinder; +import edu.ucla.sspace.util.ResourceFinder; + +import java.io.IOException; +import java.io.IOError; + +import java.util.ArrayDeque; +import java.util.HashMap; +import java.util.HashSet; +import java.util.Iterator; +import java.util.Map; +import java.util.Properties; +import java.util.Queue; +import java.util.Set; + +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.io.*; +import org.apache.hadoop.mapreduce.*; +import org.apache.hadoop.mapreduce.lib.input.*; +import org.apache.hadoop.mapreduce.lib.output.*; +import org.apache.hadoop.util.*; + + +/** + * An common implementation that provides functionality for processing a {@link + * Text} document and recording word co-occurrences to a {@link Mapper.Context}. + * + *

This class defines the following configurable properties that may be set + * using {@link Properties} constructor to {@link HadoopJob}. Note that + * setting these properties with the {@link System} properties will have no + * effect on this class. + * + *

+ * + *
Property: {@value #WINDOW_SIZE_PROPERTY} + *
+ * Default: {@value #DEFAULT_WINDOW_SIZE} + * + *
This property sets the number of words before + * and after that are counted as co-occurring. With the default value, + * {@value #DEFAULT_WINDOW_SIZE} words are counted before and {@value + * #DEFAULT_WINDOW_SIZE} words are counter after. This class always uses a + * symmetric window.

+ * + *

+ */ +public class CooccurrenceExtractor { + + /** + * The property used to configure the {@code Mapper} instances' window size, + * which counts the number of words to view before and after each word in + * focus. + */ + public static final String WINDOW_SIZE_PROPERTY = + "edu.ucla.sspace.hadoop.CooccurrenceExtractor.windowSize"; + + /** + * The default window size if none is specified. Note that this value is + * never used, but is provided as the default value when calling {@link + * Configuration#getInt(String, int)} to get the actual window size. + */ + public static final int DEFAULT_WINDOW_SIZE = 2; + + /** + * The default number of words to view before and after each word in focus, + * which will be counted as co-occurring. + */ + private final int windowSize; + + /** + * The set of terms that should have the co-occurences counted for them. + * This set acts as an inclusive filter, removing terms from the mapper + * output if not present in the set. If the set is empty, all terms are + * accepted as valid. + */ + private final Set semanticFilter; + + /** + * Creates an unconfigured {@code CooccurrenceMapper}. + */ + public CooccurrenceExtractor(Configuration conf) { + semanticFilter = new HashSet(); + windowSize = conf.getInt(WINDOW_SIZE_PROPERTY, + DEFAULT_WINDOW_SIZE); + } + + /** + * Takes the {@code document} and writes a set of tuples mapping a word to + * the other words it co-occurs with and the relative position of those + * co-occurrences. + * + * @param document the document that will be segmented into tokens and + * mapped to cooccurrences + * @param context the context in which this mapper is executing + */ + public void processDocument(Text document, + Mapper.Context context) + throws IOException, InterruptedException { + + Queue prevWords = new ArrayDeque(windowSize); + Queue nextWords = new ArrayDeque(windowSize); + Iterator documentTokens = + IteratorFactory.tokenizeOrdered(document.toString()); + + String focusWord = null; + Text focusWordWritable = new Text(); + + // Prefetch the first windowSize words + for (int i = 0; i < windowSize && documentTokens.hasNext(); ++i) + nextWords.offer(documentTokens.next()); + + Map occurrenceToCount = + new HashMap(); + + while (!nextWords.isEmpty()) { + focusWord = nextWords.remove(); + focusWordWritable.set(focusWord); + + // Shift over the window to the next word + if (documentTokens.hasNext()) { + String windowEdge = documentTokens.next(); + nextWords.offer(windowEdge); + } + + // If we are filtering the semantic vectors, check whether this word + // should have its semantics calculated. In addition, if there is a + // filter and it would have excluded the word, do not keep its + // semantics around + boolean calculateSemantics = + (semanticFilter.isEmpty() + || semanticFilter.contains(focusWord)) + && !focusWord.equals(IteratorFactory.EMPTY_TOKEN); + + if (calculateSemantics) { + + int pos = -prevWords.size(); + for (String word : prevWords) { + + // Skip the addition of any words that are excluded from the + // filter set. Note that by doing the exclusion here, we + // ensure that the token stream maintains its existing + // ordering, which is necessary when permutations are taken + // into account. + if (!word.equals(IteratorFactory.EMPTY_TOKEN)) { + context.write(focusWordWritable, + new TextIntWritable(word, pos)); + } + ++pos; + } + + // Repeat for the words in the forward window. + pos = 1; + for (String word : nextWords) { + // Skip the addition of any words that are excluded from the + // filter set. Note that by doing the exclusion here, we + // ensure that the token stream maintains its existing + // ordering, which is necessary when permutations are taken + // into account. + if (!word.equals(IteratorFactory.EMPTY_TOKEN)) { + context.write(focusWordWritable, + new TextIntWritable(word, pos)); + } + ++pos; + } + } + + // Last put this focus word in the prev words and shift off the + // front of the previous word window if it now contains more words + // than the maximum window size + prevWords.offer(focusWord); + if (prevWords.size() > windowSize) { + prevWords.remove(); + } + } + } +} diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/CooccurrenceReducer.java b/opt/hadoop/edu/ucla/sspace/hadoop/CooccurrenceReducer.java new file mode 100644 index 00000000..69e8ac8e --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/CooccurrenceReducer.java @@ -0,0 +1,75 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import edu.ucla.sspace.util.Duple; + +import java.io.IOException; + +import java.util.HashMap; +import java.util.Map; + +import org.apache.hadoop.fs.*; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.io.*; +import org.apache.hadoop.mapreduce.*; +import org.apache.hadoop.mapreduce.lib.input.*; +import org.apache.hadoop.mapreduce.lib.output.*; +import org.apache.hadoop.util.*; + + +/** + * A {@link Reducer} that transforms the co-occurrence of they input key + * with another word at a certan position to a count of how many times that + * co-occurrence took place. + */ +public class CooccurrenceReducer + extends Reducer { + + public CooccurrenceReducer() { } + + public void reduce(Text occurrence, + Iterable values, Context context) + throws IOException, InterruptedException { + + // Record how many times a particular co-occurrence with a word at an + // offet happpened + Map,Integer> cooccurrenceToCount = + new HashMap,Integer>(); + + // Loop through each of the co-occurrences, updating the counts + for (TextIntWritable cooccurrence : values) { + Duple tuple = new Duple( + cooccurrence.t.toString(), cooccurrence.position); + Integer count = cooccurrenceToCount.get(tuple); + cooccurrenceToCount.put(tuple, (count == null) ? 1 : count + 1); + } + + for (Map.Entry,Integer> e : + cooccurrenceToCount.entrySet()) { + Duple d = e.getKey(); + context.write(new WordCooccurrenceWritable( + occurrence, new Text(d.x), d.y), + new IntWritable(e.getValue())); + } + } +} diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/HadoopJob.java b/opt/hadoop/edu/ucla/sspace/hadoop/HadoopJob.java new file mode 100644 index 00000000..9627ca97 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/HadoopJob.java @@ -0,0 +1,237 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import edu.ucla.sspace.common.Filterable; +import edu.ucla.sspace.common.SemanticSpace; + +import edu.ucla.sspace.index.IntegerVectorGenerator; +import edu.ucla.sspace.index.PermutationFunction; +import edu.ucla.sspace.index.RandomIndexVectorGenerator; +import edu.ucla.sspace.index.TernaryPermutationFunction; + +import edu.ucla.sspace.util.Duple; + +import edu.ucla.sspace.vector.CompactSparseIntegerVector; +import edu.ucla.sspace.vector.DenseIntVector; +import edu.ucla.sspace.vector.IntegerVector; +import edu.ucla.sspace.vector.TernaryVector; +import edu.ucla.sspace.vector.Vector; +import edu.ucla.sspace.vector.Vectors; + +import java.io.BufferedReader; +import java.io.DataInput; +import java.io.DataOutput; +import java.io.File; +import java.io.FileReader; +import java.io.IOError; +import java.io.IOException; +import java.io.InputStreamReader; + +import java.util.Arrays; +import java.util.ArrayDeque; +import java.util.Collection; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.Iterator; +import java.util.LinkedList; +import java.util.Map; +import java.util.NoSuchElementException; +import java.util.Properties; +import java.util.Queue; +import java.util.Random; +import java.util.Set; + +import java.util.logging.Logger; + +import org.apache.hadoop.fs.*; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.io.*; +import org.apache.hadoop.mapreduce.*; +import org.apache.hadoop.mapreduce.lib.input.*; +import org.apache.hadoop.mapreduce.lib.output.*; +import org.apache.hadoop.util.*; + +/** + * A Hadoop utility class for executing a job in the Hadoop map-reduce engine. + * Users specify which classes to use for the mapping and reducing tasks and are + * then upon job completion, are return the files generated as output by those + * jobs. {@link Mapper} and {@link Reducer} instances may be configured by + * passing a {@link Properties} argument to this class's constructor. Any + * properties specified in this object are copied into the {@link Configuration} + * used for each job invocation. + * + * @author David Jurgens + */ +public class HadoopJob { + + /** + * The configuration used by the Mapper and Reducer instances for running. + * The parameters are set at Job creation time and then customized based on + * the execution's input parameters. + */ + private final Configuration conf; + + /** + * The mapper class that will be used to map key-value pairs for the jobs. + */ + private final Class mapperClass; + + /** + * The reducer class that will be used to reduce key-value for the jobs. + */ + private final Class reducerClass; + + private final Class mapperOutputKey; + + private final Class mapperOutputValue; + + private final Class outputKey; + + private final Class outputValue; + + /** + * Creates a {@code HadoopJob} using the System properties for + * configuring any of the mapper or reducer parameters. + * + * @param mapperClass the mapper to use in Hadoop jobs exectued by this + * runner. + * @param reducerClass the reducer to use in Hadoop jobs exectued by this + * runner. + */ + public HadoopJob(Class mapperClass, + Class mapperOutputKey, + Class mapperOutputValue, + Class reducerClass, + Class outputKey, + Class outputValue) { + this(mapperClass, mapperOutputKey, mapperOutputValue, + reducerClass, outputKey, outputValue, + System.getProperties()); + } + + /** + * Creates a {@code HadoopJob} using the provided properties for + * configuring any of the mapper or reducer parameters. + * + * @param mapperClass the mapper to use in Hadoop jobs exectued by this + * runner. + * @param reducerClass the reducer to use in Hadoop jobs exectued by this + * runner. + * @param props the properties to pass on to the mapper and reducer + * instances + */ + public HadoopJob(Class mapperClass, + Class mapperOutputKey, + Class mapperOutputValue, + Class reducerClass, + Class outputKey, + Class outputValue, + Properties props) { + this.mapperClass = mapperClass; + this.mapperOutputKey = mapperOutputKey; + this.mapperOutputValue = mapperOutputValue; + + this.reducerClass = reducerClass; + this.outputKey = outputKey; + this.outputValue = outputValue; + conf = new Configuration(); + + for (String prop : props.stringPropertyNames()) { + String value = props.getProperty(prop); + if (value != null) + conf.set(prop, value); + } + } + + /** + * Exceutes the word co-occurrence counting job on the corpus files in the + * input directory using the current Hadoop instance, returning an iterator + * over all the occurrences frequences found in the corpus. + * + * @param inputPaths the directories on the Hadoop distributed file system + * containing all the corpus files that will be processed + * + * @return an iterator over the unique {@link WordCooccurrence} counts found + * in the corpus. Note that if two words co-occur the same distance + * apart multiple times, only one {@code WordCooccurrence} is + * returned, where the number of co-occurrences is reflected by the + * the {@link WordCooccurrence#getCount() getCount()} method. + * + * @throws Exception if Hadoop throws an {@code Exception} during its + * execution or if the resulting output files cannot be read. + */ + public HadoopJobResults run(Collection inputPaths) + throws Exception { + + // Create a mostly unique file name for the output directory. + String outputDir = "output-" + System.currentTimeMillis(); + //conf.setBoolean("mapred.task.profile", true); + + Job job = new Job(conf, mapperClass.getName() + "-" + + reducerClass.getName()); + + job.setJarByClass(HadoopJob.class); + job.setMapperClass(mapperClass); + job.setReducerClass(reducerClass); + + job.setMapOutputKeyClass(mapperOutputKey); + job.setMapOutputValueClass(mapperOutputValue); + job.setOutputKeyClass(outputKey); + job.setOutputValueClass(outputValue); + + // Add all the specified directories as input paths for the job + for (String inputDir : inputPaths) + FileInputFormat.addInputPath(job, new Path(inputDir)); + Path outputDirPath = new Path(outputDir); + FileOutputFormat.setOutputPath(job, outputDirPath); + + job.waitForCompletion(true); + + // From the output directory, collect all the results files + FileSystem fs = FileSystem.get(conf); + FileStatus[] outputFiles = + fs.listStatus(outputDirPath, new OutputFilePathFilter()); + Collection paths = new LinkedList(); + for (FileStatus status : outputFiles) { + paths.add(status.getPath()); + } + + return new HadoopJobResults(fs, paths); + } + + /** + * A private {@link PathFilter} implementation designed to only accept + * output files from the reducer. + */ + private static class OutputFilePathFilter implements PathFilter { + + /** + * Returns {@code true} if the path begins the prefix for output files + * from the reducer. + */ + public boolean accept(Path p) { + return p.getName().startsWith("part-r-"); + } + } +} \ No newline at end of file diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/HadoopJobResults.java b/opt/hadoop/edu/ucla/sspace/hadoop/HadoopJobResults.java new file mode 100644 index 00000000..f0cbeb32 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/HadoopJobResults.java @@ -0,0 +1,72 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import java.util.Collection; + +import org.apache.hadoop.fs.FileSystem; +import org.apache.hadoop.fs.Path; + + +/** + * A class that encapsulates the resulting output files of a Hadoop job and + * provides file system access to those files using the {@link FileSystem} on + * which they are stored. + * + * @see HadoopJobRunner + */ +public class HadoopJobResults { + + /** + * The file system on which the results are stored + */ + private final FileSystem fs; + + /** + * Paths to each file result produced by the job + */ + private final Collection results; + + /** + * Creates a new job result containing all the specified paths that can be + * accessed by the provided file system + */ + public HadoopJobResults(FileSystem fs, Collection results) { + this.fs = fs; + this.results = results; + } + + /** + * Returns the file system that can be used to access each of the job's + * result output files. + */ + public FileSystem getFileSystem() { + return fs; + } + + /** + * Returns all the file results produced by the job. + */ + public Collection getResults() { + return results; + } +} \ No newline at end of file diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/RawTextCooccurrenceMapper.java b/opt/hadoop/edu/ucla/sspace/hadoop/RawTextCooccurrenceMapper.java new file mode 100644 index 00000000..d889fd36 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/RawTextCooccurrenceMapper.java @@ -0,0 +1,134 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import edu.ucla.sspace.text.IteratorFactory; + +import edu.ucla.sspace.util.HadoopResourceFinder; +import edu.ucla.sspace.util.ResourceFinder; + +import java.io.IOException; +import java.io.IOError; + +import java.util.Properties; + +import org.apache.hadoop.fs.*; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.io.*; +import org.apache.hadoop.mapreduce.*; +import org.apache.hadoop.mapreduce.lib.input.*; +import org.apache.hadoop.mapreduce.lib.output.*; +import org.apache.hadoop.util.*; + +import static edu.ucla.sspace.text.IteratorFactory.ITERATOR_FACTORY_PROPERTIES; + + +/** + * A {@link Mapper} implementation that maps a the text values of a document to + * the word co-occurrences. This class is intended to be used with the {@link + * TextInputFormat} where the incoming text files are mapped to byte offsets and + * the text contained there-in. The input key values are not interpreted by + * this mapper, only the text values. + * + *

This class defines the following configurable properties that may be set + * using {@link Properties} constructor to {@link HadoopJob}. Note that + * setting these properties with the {@link System} properties will have no + * effect on this class. + * + *

+ * + *
Property: {@value edu.ucla.sspace.hadoop.CooccurrenceExtractor#WINDOW_SIZE_PROPERTY} + *
+ * Default: {@value edu.ucla.sspace.hadoop.CooccurrenceExtractor#DEFAULT_WINDOW_SIZE} + * + *
This property sets the number of words before + * and after that are counted as co-occurring. With the default value, + * {@value + * edu.ucla.sspace.hadoop.CooccurrenceExtractor#DEFAULT_WINDOW_SIZE} words + * are counted before and {@value + * edu.ucla.sspace.hadoop.CooccurrenceExtractor#DEFAULT_WINDOW_SIZE} words + * are counter after. This class always uses a symmetric window.

+ * + *

+ * + * @see HadoopJob#HadoopJob(Class,Class,Class,Class,Class,Class,Properties) + */ +public class RawTextCooccurrenceMapper + extends Mapper { + + /** + * The object responsible for performing all the tokenization and + * co-occurrence extraction from a {@link Text} object. + */ + private CooccurrenceExtractor extractor; + + public RawTextCooccurrenceMapper() { } + + /** + * Initializes all the properties for this particular mapper. This process + * includes setting up the window size and configuring how the input + * documents will be tokenized. + */ + protected void setup(Mapper.Context context) { + Configuration conf = context.getConfiguration(); + extractor = new CooccurrenceExtractor(conf); + + // Set up the IteratorFactory properties + Properties props = new Properties(); + for (String property : ITERATOR_FACTORY_PROPERTIES) { + String propVal = conf.get(property); + if (propVal != null) + props.setProperty(property, propVal); + } + + // Create the ResourceFinder that the IteratorFactory will use to find + // the various files on HDFS + ResourceFinder hadoopRf = null; + try { + hadoopRf = new HadoopResourceFinder(conf); + } catch (IOException ioe) { + throw new IOError(ioe); + } + + // Set the IteratorFactory to locate the resources and then have it + // reconfigure itself based on the user specified properties + IteratorFactory.setResourceFinder(hadoopRf); + IteratorFactory.setProperties(props); + } + + + /** + * Processes the tokens in the {@code value} and writes a set of tuples + * mapping a word to the other words it co-occurs with and the relative + * position of those co-occurrences. The key to this method is ignored. + * + * @param key the byte offset of the document in the input corpus + * @param value the document that will be segmented into tokens and + * mapped to cooccurrences + * @param context the context in which this mapper is executing + */ + public void map(LongWritable key, Text value, Context context) + throws IOException, InterruptedException { + extractor.processDocument(value, context); + } + +} \ No newline at end of file diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/SimpleWordCooccurrence.java b/opt/hadoop/edu/ucla/sspace/hadoop/SimpleWordCooccurrence.java new file mode 100644 index 00000000..07618538 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/SimpleWordCooccurrence.java @@ -0,0 +1,73 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + + +/** + * A straigh-forward implementation of {@link WordCooccurrence}. + */ +public class SimpleWordCooccurrence implements WordCooccurrence { + + private final String focusWord; + + private final String relativeWord; + + private final int distance; + + private final int count; + + public SimpleWordCooccurrence(String focusWord, String relativeWord, + int distance, int count) { + this.focusWord = focusWord; + this.relativeWord = relativeWord; + this.distance = distance; + this.count = count; + } + + /** + * {@inheritDoc} + */ + public String focusWord() { + return focusWord; + } + + /** + * {@inheritDoc} + */ + public String relativeWord() { + return relativeWord; + } + + /** + * {@inheritDoc} + */ + public int getDistance() { + return distance; + } + + /** + * {@inheritDoc} + */ + public int getCount() { + return count; + } +} \ No newline at end of file diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/TextIntWritable.java b/opt/hadoop/edu/ucla/sspace/hadoop/TextIntWritable.java new file mode 100644 index 00000000..6f7e6605 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/TextIntWritable.java @@ -0,0 +1,147 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import java.io.DataInput; +import java.io.DataOutput; +import java.io.IOException; + +import org.apache.hadoop.fs.*; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.io.*; +import org.apache.hadoop.util.*; + + +/** + * A special-purpose tuple {@link Writable} for storing text and int values + * together in one object. This class is designed to record the co-occurrence a + * term and a relative offset indicating the distance from the focus term. + * + *

This class follows the general contract for {@link Writable} by providing + * a static deserialization method and a no-arg constructor. + */ +public class TextIntWritable implements WritableComparable { + + /** + * The term that co-occurred with the focus term + */ + Text t; + + /** + * The relative position of the co-occurring term from the focus term. + * Note that if this value is negative, the co-occurring term appeared + * before the focus term. + */ + int position; + + /** + * Creates an empty {@code TextIntWritable} with no text and no position. + * This constructor is only intended to be used by the Hadoop code for + * handling {@link Writable} instances. + */ + public TextIntWritable() { + t = new Text(); + position = 0; + } + + /** + * Creates a new {@code TextIntWritable} with the specified text and + * position + */ + public TextIntWritable(String s, int position) { + this.t = new Text(s); + this.position = position; + } + + /** + * Creates a new {@code TextIntWritable} with the specified text and + * position + */ + public TextIntWritable(Text t, int position) { + this.t = t; + this.position = position; + } + + /** + * Deserializes a {@code TextIntWritable} from the provided stream and + * returns the resulting object. + */ + public static TextIntWritable read(DataInput in) throws IOException { + TextIntWritable tiw = new TextIntWritable(); + tiw.t.readFields(in); + tiw.position = in.readInt(); + return tiw; + } + + /** + * Returns the a negative value if the provided {@code TextIntWritable} has + * a lexicographically less text value or if its position is less, or + * returns a positive value if the provided {@code TextIntWritable} has text + * with a lexicographically greater value or if its position is larger. + */ + public int compareTo(TextIntWritable o) { + int c = t.compareTo(o.t); + if (c != 0) + return c; + return position - o.position; + } + + public int hashCode() { + return t.hashCode() + ^ position; + } + + /** + * Returns {@code true} if the object has both the same text and position. + */ + public boolean equals(Object o) { + if (o instanceof TextIntWritable) { + TextIntWritable tiw = (TextIntWritable)o; + return t.equals(tiw.t) && + position == tiw.position; + } + return false; + } + + /** + * Deserializes the internal data from the provided stream. + */ + public void readFields(DataInput in) throws IOException { + t.readFields(in); + position = in.readInt(); + } + + /** + * Serailizes the internsal data to the provided stream + */ + public void write(DataOutput out) throws IOException { + t.write(out); + out.writeInt(position); + } + + /** + * Returns the text and position, separated by a tab character. + */ + public String toString() { + return t + "\t" + position; + } +} diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrence.java b/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrence.java new file mode 100644 index 00000000..d7dfcd75 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrence.java @@ -0,0 +1,59 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + + +/** + * An abstraction of a word co-occurrence as extracted by the Hadoop processing + * classes. This class reflects the aggregate result where multiple + * co-occurrence of two words with the same distance are reprsented by a single + * {@code WordCooccurrence} + * + * @see WordCooccurrenceCountingJob + */ +public interface WordCooccurrence { + + /** + * Returns the word at the center of the co-occurrence window. All other + * words in the window are counted at co-occurring with this word. + */ + public String focusWord(); + + /** + * Returns the word that occurs within the co-occurrence window a specific + * distance away from the focus word. + */ + public String relativeWord(); + + /** + * The distance between the relative word and the focus word. If this value + * is negative, the relative word occurred before the focus word + */ + public int getDistance(); + + /** + * Returns the number of times the relative word co-occurred with the focus + * word at the distance reflected in this instance. + */ + public int getCount(); + +} \ No newline at end of file diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrenceCountingJob.java b/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrenceCountingJob.java new file mode 100644 index 00000000..7fd7349d --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrenceCountingJob.java @@ -0,0 +1,293 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import edu.ucla.sspace.common.Filterable; +import edu.ucla.sspace.common.SemanticSpace; + +import edu.ucla.sspace.index.IntegerVectorGenerator; +import edu.ucla.sspace.index.PermutationFunction; +import edu.ucla.sspace.index.RandomIndexVectorGenerator; +import edu.ucla.sspace.index.TernaryPermutationFunction; + +import edu.ucla.sspace.util.Duple; + +import edu.ucla.sspace.vector.CompactSparseIntegerVector; +import edu.ucla.sspace.vector.DenseIntVector; +import edu.ucla.sspace.vector.IntegerVector; +import edu.ucla.sspace.vector.TernaryVector; +import edu.ucla.sspace.vector.Vector; +import edu.ucla.sspace.vector.Vectors; + +import java.io.BufferedReader; +import java.io.DataInput; +import java.io.DataOutput; +import java.io.File; +import java.io.FileReader; +import java.io.IOError; +import java.io.IOException; +import java.io.InputStreamReader; + +import java.util.Arrays; +import java.util.ArrayDeque; +import java.util.Collection; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.Iterator; +import java.util.LinkedList; +import java.util.Map; +import java.util.NoSuchElementException; +import java.util.Properties; +import java.util.Queue; +import java.util.Random; +import java.util.Set; + +import java.util.logging.Logger; + +import org.apache.hadoop.fs.*; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.io.*; +import org.apache.hadoop.mapreduce.*; +import org.apache.hadoop.mapreduce.lib.input.*; +import org.apache.hadoop.mapreduce.lib.output.*; +import org.apache.hadoop.util.*; + +/** + * A hadoop utility that spawns a job to count all the co-occurrences for a + * directory of files within the Hadoop File System. This class serves as the + * underlying co-occurrence counting logic for other semantic space algorithms + * that use the oc-occurrences to build their final representations. + * + * + * + * + *

This class is not thread safe. + * + * @author David Jurgens + */ +public class WordCooccurrenceCountingJob { + + private final HadoopJob job; + + /** + * Creates a {@code WordCooccurrenceCountingJob} using the System properties + * for configuring the parameters. + */ + public WordCooccurrenceCountingJob() { + this(System.getProperties()); + } + + /** + * Creates a {@code WordCooccurrenceCountingJob} using the provided + * properties for configuring the parameters. + */ + public WordCooccurrenceCountingJob(Properties props) { + job = new HadoopJob( + RawTextCooccurrenceMapper.class, + Text.class, // mapper output key class + TextIntWritable.class, // mapper output value class + CooccurrenceReducer.class, + WordCooccurrenceWritable.class, // output key class + IntWritable.class, // output value class + props); + } + + /** + * Exceutes the word co-occurrence counting job on the corpus files in the + * input directory using the current Hadoop instance, returning an iterator + * over all the occurrences frequences found in the corpus. + * + * @param inputDirs a list of directories on the Hadoop distributed file + * system containing all the corpus files that will be processed + * + * @return an iterator over the unique {@link WordCooccurrence} counts found + * in the corpus. Note that if two words co-occur the same distance + * apart multiple times, only one {@code WordCooccurrence} is + * returned, where the number of co-occurrences is reflected by the + * the {@link WordCooccurrence#getCount() getCount()} method. + * + * @throws Exception if Hadoop throws an {@code Exception} during its + * execution or if the resulting output files cannot be read. + */ + public Iterator execute(Collection inputDirs) + throws Exception { + + HadoopJobResults results = job.run(inputDirs); + return new WordCooccurrenceIterator( + results.getFileSystem(), results.getResults().iterator()); + } + + /** + * An iterator over the output files from the {@link CooccurrenceReducer} + * that returns the set of {@link WordCooccurrence} instances extracted from + * the corpus. + */ + private static class WordCooccurrenceIterator + implements Iterator { + + /** + * The files containing results that have not yet been returned + */ + private final Iterator files; + + /** + * The current file being processed by this iterator. The actual file + * processing is delegated to a special purpose iterator. + */ + private FileIterator curFile; + + /** + * The next word occurrence to return or {@code null} if there are no + * further instances to return. + */ + private WordCooccurrence next; + + /** + * The file system currently being used by this Hadoop instance. + */ + private FileSystem fileSystem; + + /** + * Creates a {@code WordCooccurrenceIterator} that returns all the + * occurrences contained in the provided files. + * + * @param fileSystem the file system used to access the paths in {@code + * files} + * @param files the series of input files to be read by this iterator + * and returned as {@link WordCooccurrence} instances + */ + public WordCooccurrenceIterator(FileSystem fileSystem, + Iterator files) throws IOException { + this.fileSystem = fileSystem; + this.files = files; + advance(); + } + + private void advance() throws IOException { + if (curFile != null && curFile.hasNext()) { + next = curFile.next(); + } + else if (files.hasNext()) { + curFile = new FileIterator( + new BufferedReader( + new InputStreamReader(fileSystem.open(files.next())))); + next = curFile.next(); + } + else { + next = null; + } + } + + /** + * Returns true if the iterator has more occurrences + */ + public boolean hasNext() { + return next != null; + } + + /** + * Returns the next instance + */ + public WordCooccurrence next() { + if (next == null) { + throw new NoSuchElementException("No further word occurrences"); + } + WordCooccurrence n = next; + try { + advance(); + } catch (IOException ioe) { + throw new IOError(ioe); + } + return n; + } + + /** + * Throws an {@link UnsupportedOperatonException} if called. + */ + public void remove() { + throw new UnsupportedOperationException(); + } + } + + /** + * An iterator that transforms the file output of the reduce step into + * {@link WordCooccurrence} instances. + */ + private static class FileIterator + implements Iterator { + + /** + * The reader containing the contents of the reducer output. + */ + private BufferedReader br; + + /** + * The next line from the reader or {@code null} if there were no + * further lines to be read. + */ + private String nextLine; + + /** + * Creates a {@code FileIterator} over the word co-occurrence + * information contaned within the reader. The data is expected to be + * formatted according to the {@link CooccurrenceReducer} output. + */ + public FileIterator(BufferedReader br) throws IOException { + this.br = br; + nextLine = br.readLine(); + } + + /** + * Returns {@code true} if there are still word co-occurrences left to + * return + */ + public boolean hasNext() { + return nextLine != null; + } + + /** + * Returns the next word co-occurrence from the file + */ + public WordCooccurrence next() { + if (nextLine == null) { + throw new NoSuchElementException("No further word occurrences"); + } + String n = nextLine; + try { + nextLine = br.readLine(); + } catch (IOException ioe) { + throw new IOError(ioe); + } + String[] arr = n.split("\t"); + return new SimpleWordCooccurrence(arr[0], arr[1], + Integer.parseInt(arr[2]), Integer.parseInt(arr[3])); + } + + /** + * Throws an {@link UnsupportedOperatonException} if called. + */ + public void remove() { + throw new UnsupportedOperationException(); + } + } +} \ No newline at end of file diff --git a/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrenceWritable.java b/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrenceWritable.java new file mode 100644 index 00000000..9c7ca533 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/hadoop/WordCooccurrenceWritable.java @@ -0,0 +1,133 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.hadoop; + +import java.io.DataInput; +import java.io.DataOutput; +import java.io.IOException; + +import org.apache.hadoop.fs.*; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.io.*; +import org.apache.hadoop.mapreduce.*; +import org.apache.hadoop.mapreduce.lib.input.*; +import org.apache.hadoop.mapreduce.lib.output.*; +import org.apache.hadoop.util.*; + + +/** + * A {@link Writable} that represents the occurrence of a two words a certain + * distance apart. + */ +public class WordCooccurrenceWritable + implements WritableComparable { + + /** + * The first word that occurred. + */ + private Text w1; + + /** + * The co-occurring word. + */ + private Text w2; + + /** + * The distance between {@code w1} and {@code w2}. If {@code w2} occurs + * before, this distance is negative. + */ + private int distance; + + /** + * Creates an empty {@code WordCooccurrenceWritable} with no text and a + * distance of 0. This constructor is intended to facilitate the + * serialization methods used by Hadoop. + */ + public WordCooccurrenceWritable() { + w1 = new Text(); + w2 = new Text(); + distance = 0; + } + + public WordCooccurrenceWritable(String word1, String word2, int distance) { + w1 = new Text(word1); + w2 = new Text(word2); + this.distance = distance; + } + + public WordCooccurrenceWritable(Text word1, Text word2, int distance) { + w1 = word1; + w2 = word2; + this.distance = distance; + } + + public static WordCooccurrenceWritable read(DataInput in) + throws IOException { + WordCooccurrenceWritable wow = new WordCooccurrenceWritable(); + wow.w1.readFields(in); + wow.w2.readFields(in); + wow.distance = in.readInt(); + return wow; + } + + public int compareTo(WordCooccurrenceWritable o) { + int c = w1.compareTo(o.w1); + if (c != 0) + return c; + c = w2.compareTo(o.w2); + if (c != 0) + return c; + return distance - o.distance; + } + + public int hashCode() { + return w1.hashCode() + ^ w2.hashCode() + ^ distance; + } + + public boolean equals(Object o) { + if (o instanceof WordCooccurrenceWritable) { + WordCooccurrenceWritable wow = (WordCooccurrenceWritable)o; + return w1.equals(wow.w1) && + w2.equals(wow.w2) && + distance == wow.distance; + } + return false; + } + + public void readFields(DataInput in) throws IOException { + w1.readFields(in); + w2.readFields(in); + distance = in.readInt(); + } + + public void write(DataOutput out) throws IOException { + w1.write(out); + w2.write(out); + out.writeInt(distance); + } + + public String toString() { + return w1 + "\t" + w2 + "\t" + distance; + } +} diff --git a/opt/hadoop/edu/ucla/sspace/mains/HadoopGenericMain.java b/opt/hadoop/edu/ucla/sspace/mains/HadoopGenericMain.java new file mode 100644 index 00000000..d3b2d548 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/mains/HadoopGenericMain.java @@ -0,0 +1,387 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.mains; + +import edu.ucla.sspace.common.ArgOptions; +import edu.ucla.sspace.common.SemanticSpace; +import edu.ucla.sspace.common.SemanticSpaceIO; +import edu.ucla.sspace.common.SemanticSpaceIO.SSpaceFormat; +import edu.ucla.sspace.common.SemanticSpaceWriter; + +import edu.ucla.sspace.text.Document; +import edu.ucla.sspace.text.FileListDocumentIterator; +import edu.ucla.sspace.text.IteratorFactory; +import edu.ucla.sspace.text.OneLinePerDocumentIterator; + +import edu.ucla.sspace.util.CombinedIterator; +import edu.ucla.sspace.util.LimitedIterator; +import edu.ucla.sspace.util.LoggerUtil; +import edu.ucla.sspace.util.ReflectionUtil; + +import java.io.BufferedReader; +import java.io.File; +import java.io.FileReader; +import java.io.IOException; + +import java.util.Collection; +import java.util.HashSet; +import java.util.Iterator; +import java.util.LinkedList; +import java.util.Properties; +import java.util.Set; + +import java.util.concurrent.atomic.AtomicInteger; + +import java.util.logging.ConsoleHandler; +import java.util.logging.Handler; +import java.util.logging.Level; +import java.util.logging.Logger; + + +/** + * An abstract base class for algorithms that use Hadoop for corpus processing. + * This class is the equivalent of {@link GenericMain}. + * + * @author David Jurgens + */ +public abstract class HadoopGenericMain { + + /** + * The property for setting a unique corpus reader. This corpus reader must + * have a no argument constructor and implement {@code Iterator}. + * Since this is expected to be a rare use case, this is done as a property + * instead of a standard command line argument to keep the argument space + * from being poluted. + */ + public static final String CORPUS_READER_PROPERTY = + "edu.ucla.sspace.mains.GenericMain.corpusReader"; + + /** + * Extension used for all saved semantic space files. + */ + public static final String EXT = ".sspace"; + + private static final Logger LOGGER = + Logger.getLogger(GenericMain.class.getName()); + + /** + * Whether to emit messages to {@code stdout} when the {@code verbose} + * methods are used. + */ + protected boolean verbose; + + /** + * The processed argument options available to the main classes. + */ + protected final ArgOptions argOptions; + + public HadoopGenericMain() { + argOptions = setupOptions(); + } + + /** + * Returns a string describing algorithm-specific options and behaviods. + * This string will be printed before the default option details + */ + protected String getAlgorithmSpecifics() { + return ""; + } + + /** + * Prints out information on how to run the program to {@code stdout} using + * the option descriptions for compound words, tokenization, .sspace formats + * and help. + */ + protected void usage() { + String specifics = getAlgorithmSpecifics(); + System.out.println( + "usage: java " + + this.getClass().getName() + + " [options] input-dir [input-dir2 ...] output-sspace\n" + + argOptions.prettyPrint() + + ((specifics.length() == 0) ? "" : "\n" + specifics) + + "\n" + OptionDescriptions.COMPOUND_WORDS_DESCRIPTION + + "\n\n" + OptionDescriptions.TOKEN_FILTER_DESCRIPTION + + "\n\n" + OptionDescriptions.TOKEN_STEMMING_DESCRIPTION + + "\n\n" + OptionDescriptions.FILE_FORMAT_DESCRIPTION + + "\n\n" + OptionDescriptions.HELP_DESCRIPTION); + } + + /** + * Returns the {@link SemanticSpaceIO.SSpaceFormat format} in which the + * finished {@code SemanticSpace} should be saved. Subclasses should + * override this function if they want to specify a specific format that is + * most suited for their space, when one is not manually specified by the + * user. + * + * @return the format in which the semantic space will be saved + */ + protected SSpaceFormat getSpaceFormat() { + return SSpaceFormat.TEXT; + } + + /** + * Adds options to the provided {@code ArgOptions} instance, which will be + * used to parse the command line. This method allows subclasses the + * ability to add extra command line options. + * + * @param options the ArgOptions object which more main specific options can + * be added to. + * + * @see #handleExtraOptions() + */ + protected void addExtraOptions(ArgOptions options) { } + + /** + * Once the command line has been parsed, allows the subclasses to perform + * additional steps based on class-specific options. This method will be + * called before {@link #getSpace() getSpace}. + * + * @see #addExtraOptions(ArgOptions) + */ + protected void handleExtraOptions() { } + + /** + * Allows subclasses to interact with the {@code SemanticSpace} after the + * space has finished processing all of the text. + */ + protected void postProcessing() { } + + /** + * Returns the {@code Properties} object that will be used when calling + * {@link SemanticSpace#processSpace(Properties)}. Subclasses should + * override this method if they need to specify additional properties for + * the space. This method will be called once before {@link #getSpace()}. + * + * @return the {@code Properties} used for processing the semantic space. + */ + protected Properties setupProperties() { + Properties props = System.getProperties(); + return props; + } + + /** + * Adds the default options for running semantic space algorithms from the + * command line. Subclasses should override this method and return a + * different instance if the default options need to be different. + */ + protected ArgOptions setupOptions() { + ArgOptions options = new ArgOptions(); + + // Add run time options. + options.addOption('o', "outputFormat", "the .sspace format to use", + true, "FORMAT", + "Program Options"); + options.addOption('w', "overwrite", "specifies whether to " + + "overwrite the existing output", true, "BOOL", + "Program Options"); + options.addOption('v', "verbose", "prints verbose output", + false, null, "Program Options"); + + // Add tokenizing options. + + options.addOption('Z', "stemmingAlgorithm", + "specifices the stemming algorithm to use on " + + "tokens while iterating. (default: none)", + true, "CLASSNAME", "Tokenizing Options"); + options.addOption('F', "tokenFilter", "filters to apply to the input " + + "token stream", true, "FILTER_SPEC", + "Tokenizing Options"); + options.addOption('C', "compoundWords", "a file where each line is a " + + "recognized compound word", true, "FILE", + "Tokenizing Options"); + options.addOption('z', "wordLimit", "Set the maximum number of words " + + "an document can return", + true, "INT", "Tokenizing Options"); + + addExtraOptions(options); + return options; + } + + /** + * Processes the arguments and begins processing the documents using the + * {@link SemanticSpace} returned by {@link #getSpace() getSpace}. + * + * @param args arguments used to configure this program and the {@code + * SemanticSpace} + */ + public void run(String[] args) throws Exception { + if (args.length == 0) { + usage(); + System.exit(1); + } + argOptions.parseOptions(args); + + int numArgs = argOptions.numPositionalArgs(); + if (numArgs < 2) { + throw new IllegalArgumentException("must specify output path"); + } + + verbose = argOptions.hasOption('v') || argOptions.hasOption("verbose"); + // If verbose output is enabled, update all the loggers in the S-Space + // package logging tree to output at Level.FINE (normally, it is + // Level.INFO). This provides a more detailed view of how the execution + // flow is proceeding. + if (verbose) + LoggerUtil.setLevel(Level.FINE); + + boolean overwrite = true; + if (argOptions.hasOption("overwrite")) { + overwrite = argOptions.getBooleanOption("overwrite"); + } + + handleExtraOptions(); + + Properties props = setupProperties(); + + // Initialize the IteratorFactory to tokenize the documents according to + // the specified configuration (e.g. filtering, compound words) + if (argOptions.hasOption("tokenFilter")) { + props.setProperty(IteratorFactory.TOKEN_FILTER_PROPERTY, + argOptions.getStringOption("tokenFilter")); + } + + // Set any tokenizing options. + if (argOptions.hasOption("stemmingAlgorithm")) + props.setProperty(IteratorFactory.STEMMER_PROPERTY, + argOptions.getStringOption("stemmingAlgorithm")); + + if (argOptions.hasOption("compoundWords")) { + props.setProperty( + IteratorFactory.COMPOUND_TOKENS_FILE_PROPERTY, + argOptions.getStringOption("compoundWords")); + } + if (argOptions.hasOption("wordLimit")) + props.setProperty(IteratorFactory.TOKEN_COUNT_LIMIT_PROPERTY, + argOptions.getStringOption("wordLimit")); + + + // use the System properties in case the user specified them as + // -Dprop= to the JVM directly. + + File outputPath = new File(argOptions.getPositionalArg(numArgs - 1)); + File outputFile = null; + // If the path is a directory, generate the .sspace file name based on + // the space's name, taking into account any duplicates + if (outputPath.isDirectory()) { + outputFile = (overwrite) + ? new File(outputPath, "temp-fixme-" + EXT) + : File.createTempFile("temp-fixme-", EXT, outputPath); + + } + // Otherwise the user has specified a file name directly, which should + // be used. + else { + if (outputPath.exists() && !overwrite) { + // Find the file's base name and extension in order to generate + // a unique file name with the same structure + String name = outputPath.getName(); + int dotIndex = name.lastIndexOf("."); + String extension = (dotIndex < 0 && dotIndex+1 < name.length()) + ? "" : name.substring(dotIndex); + String baseName = name.substring(0, dotIndex); + // createTempFile has a restriction that the filename must be at + // least 3 characters. If it is less, then we need to pad it + // with random numbers outselves. + if (baseName.length() < 3) + baseName += Math.abs((Math.random() * Short.MAX_VALUE) *10); + File outputDir = outputPath.getParentFile(); + // If the parent was null, then the file must be being created + // in the directory from which this class was invoked. + if (outputDir == null) + outputDir = new File(""); + System.out.println("base dir: " + outputDir); + outputFile = File.createTempFile(baseName, extension, outputDir); + } + else + outputFile = outputPath; + } + + System.out.println("output File: " + outputFile); + + SSpaceFormat format = (argOptions.hasOption("outputFormat")) + ? SSpaceFormat.valueOf( + argOptions.getStringOption("outputFormat").toUpperCase()) + : getSpaceFormat(); + + SemanticSpaceWriter writer = + new SemanticSpaceWriter(outputFile, format); + + Collection inputFiles = new LinkedList(); + for (int arg = 0; arg < numArgs - 1; ++arg) + inputFiles.add(argOptions.getPositionalArg(arg)); + + long startTime = System.currentTimeMillis(); + execute(inputFiles, writer); + long endTime = System.currentTimeMillis(); + + verbose("Computed space in %.3f seconds", + ((endTime - startTime) / 1000d)); + + postProcessing(); + } + + /** + * + * + * @param inputDirs one or more directories on the Hadoop file system which + * contain files to be processed + * @param writer the writer to which the resulting {@link SemanticSpace} + * should be written + * + * @throws Exception if any error occurs either in Hadoop or the I/O during + * the execution of this algorithm + */ + protected abstract void execute(Collection inputDirs, + SemanticSpaceWriter writer) throws Exception; + + /** + * Returns a set of terms based on the contents of the provided file. Each + * word is expected to be on its own line. + */ + protected static Set loadValidTermSet(String validTermsFileName) + throws IOException { + + Set validTerms = new HashSet(); + BufferedReader br = new BufferedReader( + new FileReader(validTermsFileName)); + + for (String line = null; (line = br.readLine()) != null; ) { + validTerms.add(line); + } + + br.close(); + + return validTerms; + } + + protected void verbose(String msg) { + if (LOGGER.isLoggable(Level.FINE)) + LOGGER.logp(Level.FINE, getClass().getName(), "verbose", msg); + } + + protected void verbose(String format, Object... args) { + if (LOGGER.isLoggable(Level.FINE)) + LOGGER.logp(Level.FINE, getClass().getName(), "verbose", + String.format(format, args)); + } +} diff --git a/opt/hadoop/edu/ucla/sspace/mains/HadoopRandomIndexingMain.java b/opt/hadoop/edu/ucla/sspace/mains/HadoopRandomIndexingMain.java new file mode 100644 index 00000000..653632aa --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/mains/HadoopRandomIndexingMain.java @@ -0,0 +1,178 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.mains; + +import edu.ucla.sspace.common.ArgOptions; +import edu.ucla.sspace.common.SemanticSpace; +import edu.ucla.sspace.common.SemanticSpaceIO.SSpaceFormat; +import edu.ucla.sspace.common.SemanticSpaceWriter; + +import edu.ucla.sspace.ri.HadoopRandomIndexing; +import edu.ucla.sspace.ri.IndexVectorUtil; + +import edu.ucla.sspace.vector.TernaryVector; + +import java.io.File; +import java.io.IOException; +import java.io.IOError; + +import java.util.Collection; +import java.util.Map; +import java.util.Properties; + +import java.util.logging.Logger; + +public class HadoopRandomIndexingMain extends HadoopGenericMain { + + private static final Logger LOGGER + = Logger.getLogger(HadoopRandomIndexingMain.class.getName()); + + private Properties props; + + /** + * The {@link RandomIndexing} instance used by this runnable. This variable + * is assigned after {@link #getSpace()} is called. + */ + private HadoopRandomIndexing ri; + + private HadoopRandomIndexingMain() { + ri = null; + } + + /** + * Adds all of the options to the {@link ArgOptions}. + */ + protected void addExtraOptions(ArgOptions options) { + options.addOption('l', "vectorLength", "length of semantic vectors", + true, "INT", "Algorithm Options"); + options.addOption('n', "permutationFunction", + "permutation function to use. This should be " + + "genric for TernaryVectors", + true, "CLASSNAME", "Advanced Algorithm Options"); + options.addOption('p', "usePermutations", "whether to permute " + + "index vectors based on word order", true, + "BOOL", "Algorithm Options"); + options.addOption('r', "useSparseSemantics", "use a sparse encoding of " + + "semantics to save memory", true, + "BOOL", "Algorithm Options"); + options.addOption('s', "windowSize", "how many words to consider " + + "in each direction", true, + "INT", "Algorithm Options"); + + options.addOption('S', "saveVectors", "save word-to-IndexVector mapping" + + " after processing", true, + "FILE", "Algorithm Options"); + options.addOption('L', "loadVectors", "load word-to-IndexVector mapping" + + " before processing", true, + "FILE", "Algorithm Options"); + } + + public static void main(String[] args) { + try { + HadoopRandomIndexingMain main = + new HadoopRandomIndexingMain(); + main.run(args); + } catch (Throwable t) { + t.printStackTrace(); + } + } + + /** + * Executes the {@link HadoopRandomIndexing} algorithm, processing all of + * the provided input directories and writing the resulting {@link + * SemanticSpace} to the writer. + */ + protected void execute(Collection inputDirs, + SemanticSpaceWriter writer) throws Exception { + + HadoopRandomIndexing hri = new HadoopRandomIndexing(); + + // Load the index vectors if the user has specified any + if (argOptions.hasOption("loadVectors")) { + String fileName = argOptions.getStringOption("loadVectors"); + LOGGER.info("loading index vectors from " + fileName); + Map wordToIndexVector = + IndexVectorUtil.load(new File(fileName)); + hri.setWordToIndexVector(wordToIndexVector); + } + + hri.execute(inputDirs, writer); + } + + /** + * {@inheritDoc} + */ + protected Properties setupProperties() { + props = System.getProperties(); + // Use the command line options to set the desired properites in the + // constructor. Use the system properties in case these properties were + // set using -Dprop= + if (argOptions.hasOption("usePermutations")) { + props.setProperty(HadoopRandomIndexing.USE_PERMUTATIONS_PROPERTY, + argOptions.getStringOption("usePermutations")); + } + + if (argOptions.hasOption("permutationFunction")) { + props.setProperty( + HadoopRandomIndexing.PERMUTATION_FUNCTION_PROPERTY, + argOptions.getStringOption("permutationFunction")); + } + + if (argOptions.hasOption("windowSize")) { + props.setProperty(HadoopRandomIndexing.WINDOW_SIZE_PROPERTY, + argOptions.getStringOption("windowSize")); + } + + if (argOptions.hasOption("vectorLength")) { + props.setProperty(HadoopRandomIndexing.VECTOR_LENGTH_PROPERTY, + argOptions.getStringOption("vectorLength")); + } + + if (argOptions.hasOption("useSparseSemantics")) { + props.setProperty(HadoopRandomIndexing.USE_SPARSE_SEMANTICS_PROPERTY, + argOptions.getStringOption("useSparseSemantics")); + } + + return props; + } + + /** + * Returns the {@likn SSpaceFormat.SPARSE_BINARY sparse binary} format as + * the default format of a {@code HadoopRandomIndexing} space. + */ + protected SSpaceFormat getSpaceFormat() { + return SSpaceFormat.SPARSE_BINARY; + } + + /** + * If {@code --saveVectors} was specified, write the accumulated + * word-to-index vector mapping to file. + */ + @Override protected void postProcessing() { + if (argOptions.hasOption("saveVectors")) { + String fileName = argOptions.getStringOption("saveVectors"); + LOGGER.info("saving index vectors to " + fileName); + IndexVectorUtil.save(ri.getWordToIndexVector(), + new File(fileName)); + } + } +} diff --git a/opt/hadoop/edu/ucla/sspace/ri/HadoopRandomIndexing.java b/opt/hadoop/edu/ucla/sspace/ri/HadoopRandomIndexing.java new file mode 100644 index 00000000..7afdc2a9 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/ri/HadoopRandomIndexing.java @@ -0,0 +1,409 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.ri; + +import edu.ucla.sspace.common.Filterable; +import edu.ucla.sspace.common.SemanticSpace; +import edu.ucla.sspace.common.SemanticSpaceWriter; + +import edu.ucla.sspace.hadoop.CooccurrenceExtractor; +import edu.ucla.sspace.hadoop.WordCooccurrence; +import edu.ucla.sspace.hadoop.WordCooccurrenceCountingJob; + +import edu.ucla.sspace.index.IntegerVectorGenerator; +import edu.ucla.sspace.index.PermutationFunction; +import edu.ucla.sspace.index.RandomIndexVectorGenerator; +import edu.ucla.sspace.index.TernaryPermutationFunction; + +import edu.ucla.sspace.text.IteratorFactory; + +import edu.ucla.sspace.util.GeneratorMap; + +import edu.ucla.sspace.vector.CompactSparseIntegerVector; +import edu.ucla.sspace.vector.DenseIntVector; +import edu.ucla.sspace.vector.IntegerVector; +import edu.ucla.sspace.vector.TernaryVector; +import edu.ucla.sspace.vector.Vector; +import edu.ucla.sspace.vector.VectorMath; +import edu.ucla.sspace.vector.Vectors; + +import java.io.BufferedReader; +import java.io.DataInput; +import java.io.DataOutput; +import java.io.File; +import java.io.IOException; + +import java.lang.reflect.Constructor; + +import java.util.ArrayDeque; +import java.util.Collection; +import java.util.Collections; +import java.util.HashSet; +import java.util.Iterator; +import java.util.Map; +import java.util.Properties; +import java.util.Queue; +import java.util.Random; +import java.util.Set; + +import java.util.concurrent.ConcurrentHashMap; + +import java.util.logging.Logger; +import java.util.logging.Level; + +import org.apache.hadoop.fs.Path; +import org.apache.hadoop.conf.*; +import org.apache.hadoop.io.*; +import org.apache.hadoop.mapreduce.*; +import org.apache.hadoop.mapreduce.lib.input.*; +import org.apache.hadoop.mapreduce.lib.output.*; +import org.apache.hadoop.util.*; + +/** + * An implementation of Random Indexing that uses Hadoop to perform a + * distributed co-occurrence counting. This class is designed to only be used + * on systems where a Hadoop system is currently installed and running. + * Furthermore, this class depends on all external resources and corpora being + * present in the Hadoop distributed file system. + * + *

This class supports the following properties. + * + *

+ * + *
Property: {@value #WINDOW_SIZE_PROPERTY} + *
+ * Default: {@value #DEFAULT_WINDOW_SIZE} + * + *
This property sets the number of words before + * and after that are counted as co-occurring. With the default value, + * {@value #DEFAULT_WINDOW_SIZE} words are counted before and {@value + * #DEFAULT_WINDOW_SIZE} words are counter after. This class always uses a + * symmetric window.

+ * + *

Property: {@value #VECTOR_LENGTH_PROPERTY} + *
+ * Default: {@value #DEFAULT_VECTOR_LENGTH} + * + *
This property sets the number of dimensions to + * be used for the index and semantic vectors.

+ * + *

Property: {@value #USE_PERMUTATIONS_PROPERTY} + *
+ * Default: {@code false} + * + *
This property specifies whether to enable + * permuting the index vectors of co-occurring words. Enabling this option + * will cause the word semantics to include word-ordering information. + * However this option is best used with a larger corpus.

+ * + *

Property: {@value #PERMUTATION_FUNCTION_PROPERTY} + *
+ * Default: {@link edu.ucla.sspace.index.DefaultPermutationFunction + * DefaultPermutationFunction} + * + *
This property specifies the fully qualified + * class name of a {@link PermutationFunction} instance that will be used + * to permute index vectors. If the {@value #USE_PERMUTATIONS_PROPERTY} is + * set to {@code false}, the value of this property has no effect.

+ * + *

Property: {@value #USE_SPARSE_SEMANTICS_PROPERTY} + *
+ * Default: {@code true} + * + *
This property specifies whether to use a sparse + * encoding for each word's semantics. Using a sparse encoding can result + * in a large saving in memory, while requiring more time to process each + * document.

+ * + *

+ * + * @see RandomIndexing + * @see WordCooccurrenceCountingJob + */ +public class HadoopRandomIndexing { + + private static final Logger LOGGER = + Logger.getLogger(HadoopRandomIndexing.class.getName()); + + /** + * The prefix for naming public properties. + */ + private static final String PROPERTY_PREFIX = + "edu.ucla.sspace.ri.HadoopRandomIndexing"; + + /** + * The property to specify the number of dimensions to be used by the index + * and semantic vectors. + */ + public static final String VECTOR_LENGTH_PROPERTY = + PROPERTY_PREFIX + ".vectorLength"; + + /** + * The property to specify the number of words to view before and after each + * word in focus. + */ + public static final String WINDOW_SIZE_PROPERTY = + PROPERTY_PREFIX + ".windowSize"; + + /** + * The property to specify whether the index vectors for co-occurrent words + * should be permuted based on their relative position. + */ + public static final String USE_PERMUTATIONS_PROPERTY = + PROPERTY_PREFIX + ".usePermutations"; + + /** + * The property to specify the fully qualified named of a {@link + * PermutationFunction} if using permutations is enabled. + */ + public static final String PERMUTATION_FUNCTION_PROPERTY = + PROPERTY_PREFIX + ".permutationFunction"; + + /** + * Specifies whether to use a sparse encoding for each word's semantics, + * which saves space but requires more computation. + */ + public static final String USE_SPARSE_SEMANTICS_PROPERTY = + PROPERTY_PREFIX + ".sparseSemantics"; + + /** + * The default number of words to view before and after each word in focus. + */ + public static final int DEFAULT_WINDOW_SIZE = 2; // +2/-2 + + /** + * The default number of dimensions to be used by the index and semantic + * vectors. + */ + public static final int DEFAULT_VECTOR_LENGTH = 4000; + + /** + * A mapping from each word to its associated index vector + */ + private final Map wordToIndexVector; + + /** + * The number of dimensions for the semantic and index vectors. + */ + private final int vectorLength; + + /** + * The number of words to view before and after each focus word in a window. + */ + private final int windowSize; + + /** + * Whether the index vectors for co-occurrent words should be permuted based + * on their relative position. + */ + private final boolean usePermutations; + + /** + * If permutations are enabled, the permutation function to use on the + * index vectors. + */ + private final PermutationFunction permutationFunc; + + /** + * A flag for whether this instance should use {@code SparseIntegerVector} + * instances for representic a word's semantics, which saves space but + * requires more computation. + */ + private final boolean useSparseSemantics; + + /** + * An optional set of words that restricts the set of semantic vectors that + * this instance will retain. + */ + private final Set semanticFilter; + + /** + * Creates an instance of {@code HadoopRandomIndexing} using the system + * properties for setting the configuratons. + */ + public HadoopRandomIndexing() { + this(System.getProperties()); + } + + /** + * Creates an instance of {@code HadoopRandomIndexing} using the provided + * properties for configuring the instance. + */ + public HadoopRandomIndexing(Properties properties) { + String vectorLengthProp = + properties.getProperty(VECTOR_LENGTH_PROPERTY); + vectorLength = (vectorLengthProp != null) + ? Integer.parseInt(vectorLengthProp) + : DEFAULT_VECTOR_LENGTH; + + String windowSizeProp = properties.getProperty(WINDOW_SIZE_PROPERTY); + windowSize = (windowSizeProp != null) + ? Integer.parseInt(windowSizeProp) + : DEFAULT_WINDOW_SIZE; + + String usePermutationsProp = + properties.getProperty(USE_PERMUTATIONS_PROPERTY); + usePermutations = (usePermutationsProp != null) + ? Boolean.parseBoolean(usePermutationsProp) + : false; + + String permutationFuncProp = + properties.getProperty(PERMUTATION_FUNCTION_PROPERTY); + permutationFunc = (permutationFuncProp != null) + ? loadPermutationFunction(permutationFuncProp) + : new TernaryPermutationFunction(); + + RandomIndexVectorGenerator indexVectorGenerator = + new RandomIndexVectorGenerator(vectorLength, properties); + + String useSparseProp = + properties.getProperty(USE_SPARSE_SEMANTICS_PROPERTY); + useSparseSemantics = (useSparseProp != null) + ? Boolean.parseBoolean(useSparseProp) + : true; + + wordToIndexVector = new GeneratorMap( + indexVectorGenerator); + semanticFilter = new HashSet(); + } + + + /** + * Creates an {@link IntegerVector} of the kind specified by the user. + */ + private IntegerVector createSemanticVector() { + IntegerVector v = (useSparseSemantics) + ? new CompactSparseIntegerVector(vectorLength) + : new DenseIntVector(vectorLength); + return v; + } + + /** + * Returns an instance of the the provided class name, that implements + * {@code PermutationFunction}. + * + * @param className the fully qualified name of a class + */ + @SuppressWarnings("unchecked") + private static PermutationFunction loadPermutationFunction( + String className) { + try { + Class clazz = Class.forName(className); + return (PermutationFunction)(clazz.newInstance()); + } catch (Exception e) { + // catch all of the exception and rethrow them as an error + throw new Error(e); + } + } + + /** + * Computes the co-occurrences present in the documents in the input + * directory and writes the {@link SemanticSpace} to the provided writer. + * + * @param inputDirs one or more a directories in the Hadoop file system that + * contain all the documents to process + * @param writer a writer to which the output {@link SemanticSpace} will be + * written upon completion of the map-reduce analysis. + * + * @throws Exception if any exception occurs during the Hadoop processing or + * when writing the {@link SemanticSpace} + */ + public void execute(Collection inputDirs, + SemanticSpaceWriter writer) throws Exception { + // Set the window size property used the the Cooccurrence Mapper + Properties props = System.getProperties(); + props.setProperty(CooccurrenceExtractor.WINDOW_SIZE_PROPERTY, + String.valueOf(windowSize)); + LOGGER.info("Beginning Hadoop corpus processing"); + // Construct the counting job that will use Hadoop to count the + // co-occurrences + WordCooccurrenceCountingJob job = + new WordCooccurrenceCountingJob(props); + Iterator occurrences = job.execute(inputDirs); + LOGGER.info("Finished Hadoop corpus processing; calculating sspace"); + int wordCount = 0; + // Local state variables for updating the current word's vector. + String curWord = null; + IntegerVector semantics = null; + while (occurrences.hasNext()) { + WordCooccurrence occ = occurrences.next(); + String word = occ.focusWord(); + // Base case for the first word seen + if (curWord == null) { + curWord = word; + semantics = createSemanticVector(); + } + // If we've seen a new word, write the previous word's vector + else if (!curWord.equals(word)) { + writer.write(curWord, semantics); + if (LOGGER.isLoggable(Level.FINE)) { + LOGGER.fine(String.format( + "processed word #%d: %s%n ", ++wordCount, curWord)); + } + curWord = word; + semantics = createSemanticVector(); + } + + // NOTE: because we are using a GeneratorMap, this call will create + // a new index vector for the word if it didn't exist prior. + TernaryVector indexVector = + wordToIndexVector.get(occ.relativeWord()); + + if (usePermutations) { + indexVector = + permutationFunc.permute(indexVector, occ.getDistance()); + } + // Scale the index vector by the number of times this occurrence + // happened + VectorMath.addWithScalars( + semantics, 1, indexVector, occ.getCount()); + } + writer.close(); + } + + /** + * Returns an unmodifiable view on the token to {@link IntegerVector} + * mapping used by this instance. Any further changes made by this instance + * to its token to {@code IntegerVector} mapping will be reflected in the + * returned map. + * + * @return a mapping from the current set of tokens to the index vector used + * to represent them + */ + public Map getWordToIndexVector() { + return Collections.unmodifiableMap(wordToIndexVector); + } + + /** + * Assigns the token to {@link IntegerVector} mapping to be used by this + * instance. The contents of the map are copied, so any additions of new + * index words by this instance will not be reflected in the parameter's + * mapping. + * + * @param m a mapping from token to the {@code IntegerVector} that should be + * used represent it when calculating other word's semantics + */ + public void setWordToIndexVector(Map m) { + wordToIndexVector.clear(); + wordToIndexVector.putAll(m); + } +} \ No newline at end of file diff --git a/opt/hadoop/edu/ucla/sspace/util/HadoopResourceFinder.java b/opt/hadoop/edu/ucla/sspace/util/HadoopResourceFinder.java new file mode 100644 index 00000000..a76bc2e1 --- /dev/null +++ b/opt/hadoop/edu/ucla/sspace/util/HadoopResourceFinder.java @@ -0,0 +1,82 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.util; + +import java.io.BufferedReader; +import java.io.InputStreamReader; +import java.io.IOException; + +import org.apache.hadoop.conf.Configuration; + +import org.apache.hadoop.fs.FileStatus; +import org.apache.hadoop.fs.FileSystem; +import org.apache.hadoop.fs.Path; + + +/** + * A {@link ResourceFinder} implementation that maps file name to {@link Path} + * elements within the Hadoop distributed file system. This class should be + * used for accessing file-based resources when an algorithm is running within + * Hadoop. + */ +public class HadoopResourceFinder implements ResourceFinder { + + /** + * The configuration used by Hadoop to manage the file system and system + * properties. + */ + private final FileSystem hadoopFs; + + /** + * Constructs a {@code HadoopResourceFinder} that will use the {@code + * FileSystem} from provided configuration to locate file resources. + * + * @param hadoopConf the configuration currently being used by the Hadoop + * runtime system + */ + public HadoopResourceFinder(Configuration hadoopConf) throws IOException { + hadoopFs = FileSystem.get(hadoopConf); + } + + /** + * Finds the file with the specified name and returns a reader for that + * files contents. + * + * @param fileName the name of a file + * + * @return a {@code BufferedReader} to the contents of the specified file + * + * @throws IOException if the resource cannot be found or if an error occurs + * while opening the resource + */ + public BufferedReader open(String fileName) throws IOException { + Path filePath = new Path(fileName); + + if (!hadoopFs.exists(filePath)) { + throw new IOException(fileName + " does not exist in HDFS"); + } + + BufferedReader br = new BufferedReader(new InputStreamReader( + hadoopFs.open(filePath))); + return br; + } +} \ No newline at end of file diff --git a/pom.xml b/pom.xml new file mode 100644 index 00000000..f7080151 --- /dev/null +++ b/pom.xml @@ -0,0 +1,47 @@ + + 4.0.0 + edu.ucla.sspace + sspace + jar + S-Space Package + 1.6 + The S-Space Package is a collection of algorithms for building + Semantic Spaces as well as a highly-scalable library for designing new + distributional semantics algorithms. Distributional algorithms process text + corpora and represent the semantic for words as high dimensional feature + vectors. This package also includes matrices, vectors, and numerous + clustering algorithms. These approaches are known by many names, such as + word spaces, semantic spaces, or distributed semantics and rest upon the + Distributional Hypothesis: words that appear in similar contexts have + similar meanings. + http://code.google.com/p/airhead-research/ + + + + GNU General Public License 2 + http://www.gnu.org/licenses/old-licenses/gpl-2.0.html + repo + + + + + http://airhead-research.googlecode.com/svn/ + scm:svn:http://airhead-research.googlecode.com/svn/ + scm:svn:https://airhead-research.googlecode.com/svn/ + + + + + fozziethebeat + Keith Stevens + fozziethebeat@gmail.com + + + david.jurgens + David Jurgens + jurgens@cs.ucla.edu + + + diff --git a/src/edu/ucla/sspace/basis/BasisMapping.java b/src/edu/ucla/sspace/basis/BasisMapping.java new file mode 100644 index 00000000..094e0891 --- /dev/null +++ b/src/edu/ucla/sspace/basis/BasisMapping.java @@ -0,0 +1,70 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.basis; + + +/** + * An interface for specifying how a set of features can be mapped to a vector + * basis. In the naive case, each feature is mapped it its own dimension. + * However, many approaches may use information about the feature to represent + * several different features using a single dimension. For example, each word + * may correspond to a unique dimension regardless of how it is grammatically + * related. + * + *

+ * + * This interface also provides support for describing dimensions. The named of + * the description is left open to the implementation. For example, an + * implementation may chose to return a {@code String} with a human-readable + * description. Another implementation may return a {@code Set} of features + * that are represented by the dimension in order to facilitate further + * processing. + * + * @param the type of feature being mapped to a dimension. + * @param the type of object to be used as a description of each dimension. + */ +public interface BasisMapping { + + /** + * Returns the dimension number corresponding to the provided feature. + * + * @param feature a feature whose value can be used + * + * @return the dimension for the occurrence of the last word in the path + */ + int getDimension(T features); + + /** + * Returns a description of the specified dimension. + * + * @param dimension a dimension number + * + * @return a description of the dimension + */ + E getDimensionDescription(int dimension); + + /** + * Returns the number of dimensions currently represented in this basis + * mapping. + */ + int numDimensions(); +} \ No newline at end of file diff --git a/src/edu/ucla/sspace/basis/GenericBasisMapping.java b/src/edu/ucla/sspace/basis/GenericBasisMapping.java new file mode 100644 index 00000000..85e1dc94 --- /dev/null +++ b/src/edu/ucla/sspace/basis/GenericBasisMapping.java @@ -0,0 +1,136 @@ +/* + * Copyright 2011 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.basis; + +import java.util.HashMap; +import java.util.List; +import java.util.Map; + + +/** + * A generic {@link BasisMapping} implementation that maps each unique element + * of a type to a different dimension and returns the {@code String} value of + * the dimension's associated element as its description. Note that in order to + * use this class all dimension keys must have a well-defined {@link + * Object#equals(Object) equals} method. This class supports mapping {@code + * null} elements to a dimension as well. + * + *

Subclasses that wish to provide a more detailed description for each + * dimension should override the {@link #describeDimension(Object)} method. + * + *

Implementation note: the {@link #getDimensionDescription(int)} + * method operates in amortized constant time. Rather than continuously + * updating a mapping as new dimensions are added, this value is only calcuated + * for the upon the first call to the method after this basis function has been + * modified, which takes O(n) time. Any subsequent calls should will return the + * description in constant time. + * + * @author David Jurgens + */ +public class GenericBasisMapping + implements BasisMapping, java.io.Serializable { + + private static final long serialVersionUID = 1L; + + /** + * A mapping from an object to its associated dimension. + */ + private final Map keyToDimension; + + /** + * A cache of the reverse object-to-dimension mapping. This field is only + * updated on calls to {@link #getDimensionDescription(int)} when the + * mapping has chanaged since the previous call. + */ + private String[] indexToDescriptionCache; + + /** + * Creates an empty {@code GenericBasisMapping}. + */ + public GenericBasisMapping() { + keyToDimension = new HashMap(); + indexToDescriptionCache = new String[0]; + } + + /** + * Returns a description of the dimension, which is mapped to the provided + * key. + */ + protected String describeDimension(int dimension, T dimensionKey) { + return String.valueOf(dimensionKey); + } + + /** + * Returns the dimension number corresponding to the provided + * object key. + * + * @param obj an object that is to be mapped to a specific dimension + * + * @return the dimension number associated with the provided object + */ + public int getDimension(T obj) { + Integer index = keyToDimension.get(obj); + if (index == null) { + synchronized(this) { + // recheck to see if the term was added while blocking + index = keyToDimension.get(obj); + // if another thread has not already added this word while the + // current thread was blocking waiting on the lock, then add it. + if (index == null) { + int i = keyToDimension.size(); + keyToDimension.put(obj, i); + return i; // avoid the auto-boxing to assign i to index + } + } + } + return index; + } + + /** + * Returns the string value of the object mapped to the specified dimension. + */ + public String getDimensionDescription(int dimension) { + if (dimension < 0 || dimension > keyToDimension.size()) + throw new IllegalArgumentException( + "invalid dimension: " + dimension); + // If the cache is out of date, rebuild the reverse mapping. + if (keyToDimension.size() > indexToDescriptionCache.length) { + // Lock to ensure safe iteration + synchronized(this) { + indexToDescriptionCache = new String[keyToDimension.size()]; + for (Map.Entry e + : keyToDimension.entrySet()) { + indexToDescriptionCache[e.getValue()] = + describeDimension(e.getValue(), e.getKey()); + } + } + } + return indexToDescriptionCache[dimension]; + } + + /** + * {@inheritDoc} + */ + public int numDimensions() { + return keyToDimension.size(); + } +} \ No newline at end of file diff --git a/src/edu/ucla/sspace/beagle/Beagle.java b/src/edu/ucla/sspace/beagle/Beagle.java new file mode 100644 index 00000000..772e976b --- /dev/null +++ b/src/edu/ucla/sspace/beagle/Beagle.java @@ -0,0 +1,425 @@ +/* + * Copyright 2009 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.beagle; + +import jnt.FFT.ComplexDoubleFFT_Radix2; + +import edu.ucla.sspace.common.SemanticSpace; +import edu.ucla.sspace.common.Similarity; + +import edu.ucla.sspace.fft.FastFourierTransform; + +import edu.ucla.sspace.text.IteratorFactory; + +import edu.ucla.sspace.vector.DenseVector; +import edu.ucla.sspace.vector.DoubleVector; +import edu.ucla.sspace.vector.VectorMath; +import edu.ucla.sspace.vector.VectorMath; +import edu.ucla.sspace.vector.Vectors; + +import java.io.BufferedReader; +import java.io.FileReader; +import java.io.IOException; + +import java.util.ArrayDeque; +import java.util.HashMap; +import java.util.Iterator; +import java.util.Map; +import java.util.Properties; +import java.util.Queue; +import java.util.Set; + +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ConcurrentMap; + +import java.util.logging.Logger; + + +/** + * An implementation of the Beagle Semantic Space model. This implementation is + * based on

+ * + * For every word, a unique random index vector is created, where the vector has + * some large dimension (by default 512), with each entry in the vector being + * from a random gaussian distribution. The holographic meaning of a word is + * updated by first adding the sum of index vectors for all the words in a + * sliding window centered around the target term. Additionally a sum of + * convolutions of several n-grams is added to the holographic meaning. The + * main functionality of this class can be found in the {@link IndexBuilder} + * class. + * + * @author Keith Stevens + */ +public class Beagle implements SemanticSpace { + + public enum SemanticType { + CONTEXT, + ORDERING, + COMPOSITE, + }; + + /** + * The full context size used when scanning the corpus. This is the + * total number of words considered in the context. + */ + public static final int CONTEXT_SIZE = 6; + + /** + * The Semantic Space name for Beagle + */ + public static final String BEAGLE_SSPACE_NAME = + "beagle-semantic-space"; + + /** + * Logger for Beagle. + */ + private static final Logger LOGGER = + Logger.getLogger(Beagle.class.getName()); + + /** + * The class responsible for creating index vectors, and incorporating them + * into a semantic vector. + */ + private final Map vectorMap; + + /** + * A mapping for terms to their semantic vector representation. A {@code + * DoubleVector} is used as these representations may be large. + */ + private final ConcurrentMap termHolographs; + + /** + * The size of each index vector, as set when the sspace is created. + */ + private final int indexVectorSize; + + /** + * The number of words in the context to save prior to the focus word. + */ + private int prevSize; + + /** + * The number of words in the context to save after the focus word. + */ + private int nextSize; + + /** + * An empty place holder vector to represent the focus word when computing + * the circular convolution. + */ + private DoubleVector placeHolder; + + /** + * The first permutation ordering for vectors. + */ + private int[] permute1; + + /** + * The second permutation ordering for vectors. + */ + private int[] permute2; + + private final SemanticType semanticType; + + public Beagle(int vectorSize, Map vectorMap) { + this(vectorSize, SemanticType.COMPOSITE, vectorMap); + } + + public Beagle(int vectorSize, + SemanticType semanticType, + Map vectorMap) { + this.indexVectorSize = vectorSize; + this.vectorMap = vectorMap; + termHolographs = new ConcurrentHashMap(); + this.semanticType = semanticType; + + placeHolder = vectorMap.get(""); + + // Generate the permutation arrays. + permute1 = new int[indexVectorSize]; + permute2 = new int[indexVectorSize]; + randomPermute(permute1); + randomPermute(permute2); + + prevSize = 1; + nextSize = 5; + } + + /** + * {@inheritDoc} + */ + public Set getWords() { + return termHolographs.keySet(); + } + + /** + * {@inheritDoc} + */ + public DoubleVector getVector(String term) { + return Vectors.immutable(termHolographs.get(term)); + } + + /** + * {@inheritDoc} + */ + public String getSpaceName() { + return BEAGLE_SSPACE_NAME + "-" + + indexVectorSize + "-" + + semanticType.toString(); + } + + /** + * {@inheritDoc} + */ + public int getVectorLength() { + return indexVectorSize; + } + + /** + * {@inheritDoc} + */ + public void processDocument(BufferedReader document) throws IOException { + Queue prevWords = new ArrayDeque(); + Queue nextWords = new ArrayDeque(); + + Iterator it = IteratorFactory.tokenizeOrdered(document); + Map documentVectors = + new HashMap(); + + // Fill up the words after the context so that when the real processing + // starts, the context is fully prepared. + for (int i = 0 ; i < nextSize && it.hasNext(); ++i) + nextWords.offer(it.next().intern()); + prevWords.offer(IteratorFactory.EMPTY_TOKEN); + + String focusWord = null; + while (!nextWords.isEmpty()) { + focusWord = nextWords.remove(); + + if (it.hasNext()) + nextWords.offer(it.next().intern()); + + if (!focusWord.equals(IteratorFactory.EMPTY_TOKEN)) { + // Incorporate the context into the semantic vector for the + // focus word. If the focus word has no semantic vector yet, + // create a new one, as determined by the index builder. + DoubleVector meaning = termHolographs.get(focusWord); + if (meaning == null) { + meaning = new DenseVector(indexVectorSize); + documentVectors.put(focusWord, meaning); + } + updateMeaning(meaning, prevWords, nextWords); + } + + prevWords.offer(focusWord); + if (prevWords.size() > 1) + prevWords.remove(); + } + + // Add the local cached semantics to the global term semantics. + for (Map.Entry entry : + documentVectors.entrySet()) { + synchronized (entry.getKey()) { + // Get the global semantic representation of each word. If it + // does not currently exist, then just put the local copies + // representation, otherwise add the local copy to the global + // version. + DoubleVector existingVector = + termHolographs.get(entry.getKey()); + if (existingVector == null) + termHolographs.put(entry.getKey(), entry.getValue()); + else + VectorMath.add(existingVector, entry.getValue()); + } + } + } + + /** + * No processing is performed on the holographs. + */ + public void processSpace(Properties properties) { + } + + /** + * Adds a holograph encoding the co-occurance information, and the + * ordering information of the given context. {@code termVector} will be + * added to the result {@code DoubleVector}, and then the convolution of any + * prior convoluted n-grams will be convoluted with the given {@code + * termVector} and added to the result. When {@code focusVector} changes to + * be a different term, new n-gram convolutions are generated which use a + * placeholder in place of {@code focusVector}. + */ + private void updateMeaning(DoubleVector meaning, + Queue prevWords, + Queue nextWords) { + // Generate the semantics of the context using summation of index + // vectors. + if (semanticType == SemanticType.COMPOSITE || + semanticType == SemanticType.CONTEXT) { + DoubleVector context = new DenseVector(indexVectorSize); + + // Sum the words prior to the focus word, skipping filtered tokens. + for (String term: prevWords) { + if (term.equals(IteratorFactory.EMPTY_TOKEN)) + continue; + VectorMath.add(context, vectorMap.get(term)); + } + + // Sum the words after the focus word, skipping filtered tokens. + for (String term: nextWords) { + if (term.equals(IteratorFactory.EMPTY_TOKEN)) + continue; + VectorMath.add(context, vectorMap.get(term)); + } + + // Normalize the context vector and add it to the meaning. + normalize(context); + VectorMath.add(meaning, context); + } + + // Generate the semantics of the ordering using circular convolution of + // n-grams. + if (semanticType == SemanticType.COMPOSITE || + semanticType == SemanticType.ORDERING) { + DoubleVector order = groupConvolution(prevWords, nextWords); + + // Normalize the order vector and add it to the meaning. + normalize(order); + VectorMath.add(meaning, order); + } + } + + /** + * Performs l2-normalization on the vector in place. If the magnitude of + * the vector is 0, the values are left unchanged. + */ + private void normalize(DoubleVector v) { + double magnitude = 0; + for (int i = 0; i < v.length(); ++i) + magnitude += Math.pow(v.get(i), 2); + if (magnitude == 0) + return; + + magnitude = Math.sqrt(magnitude); + for (int i = 0; i < v.length(); ++i) + v.set(i, v.get(i)/magnitude); + } + + /** + * Generate the circular convoltion of n-grams composed of words in the + * given context. The result of this convolution is returned as a + * DoubleVector. + * + * @param prevWords The words prior to the focus word in the context. + * @param nextWords The Words after the focus word in the context. + * + * @return The semantic vector generated from the circular convolution. + */ + private DoubleVector groupConvolution(Queue prevWords, + Queue nextWords) { + // Generate an empty DoubleVector to hold the convolution. + DoubleVector result = new DenseVector(indexVectorSize); + + // Do the convolutions starting at index 0. + String prevWord = prevWords.peek(); + DoubleVector tempConvolution; + if (!prevWord.equals(IteratorFactory.EMPTY_TOKEN)) { + tempConvolution = + convolute(vectorMap.get(prevWords.peek()), placeHolder); + VectorMath.add(result, tempConvolution); + } else + tempConvolution = placeHolder; + + + for (String term : nextWords) { + if (term.equals(IteratorFactory.EMPTY_TOKEN)) + continue; + + tempConvolution = convolute(tempConvolution, vectorMap.get(term)); + VectorMath.add(result, tempConvolution); + } + + tempConvolution = placeHolder; + + // Do the convolutions starting at index 1. + for (String term : nextWords) { + if (term.equals(IteratorFactory.EMPTY_TOKEN)) + continue; + + tempConvolution = convolute(tempConvolution, vectorMap.get(term)); + VectorMath.add(result, tempConvolution); + } + return result; + } + + /** + * Populates the given array with values 0 to {@code indexVectorSize}, and + * then shuffly the values randomly. + */ + private void randomPermute(int[] permute) { + for (int i = 0; i < indexVectorSize; i++) + permute[i] = i; + for (int i = indexVectorSize - 1; i > 0; i--) { + int w = (int) Math.floor(Math.random() * (i+1)); + int temp = permute[w]; + permute[w] = permute[i]; + permute[i] = permute[w]; + } + } + + private DoubleVector convolute(DoubleVector left, DoubleVector right) { + // Permute both vectors. + left = changeVector(left, permute1); + right = changeVector(right, permute2); + + // Use the Fast Fourier Transform on each vector. + FastFourierTransform.transform(left); + FastFourierTransform.transform(right); + + // Multiply the two together. + DoubleVector result = VectorMath.multiply(left, right); + + // The inverse transform completes the convolution. + FastFourierTransform.backtransform(result); + return result; + } + + /** + * Shuffle the given vector based on the ordering information given in + * {@code orderVector}. + * + * @param data The vector to be shuffled. + * @param orderVector The ordering of values to be used. + * + * @return The shuffled version of {@code data}. + */ + private DoubleVector changeVector(DoubleVector data, int[] orderVector) { + DoubleVector result = new DenseVector(indexVectorSize); + for (int i = 0; i < indexVectorSize; i++) + result.set(i, data.get(orderVector[i])); + return result; + } +} diff --git a/src/edu/ucla/sspace/clustering/Assignment.java b/src/edu/ucla/sspace/clustering/Assignment.java new file mode 100644 index 00000000..fc80670d --- /dev/null +++ b/src/edu/ucla/sspace/clustering/Assignment.java @@ -0,0 +1,36 @@ +/* + * Copyright 2009 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + + +/** + * A cluster assignment for a data point. + * + * @see Clustering + */ +public interface Assignment { + + /** + * Returns the cluster id's that a specific data point was assigned to. + */ + int[] assignments(); +} diff --git a/src/edu/ucla/sspace/clustering/AutomaticStopClustering.java b/src/edu/ucla/sspace/clustering/AutomaticStopClustering.java new file mode 100644 index 00000000..a01f8c48 --- /dev/null +++ b/src/edu/ucla/sspace/clustering/AutomaticStopClustering.java @@ -0,0 +1,402 @@ +/* + * Copyright 2010 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.clustering.ClutoClustering.Criterion; +import edu.ucla.sspace.clustering.ClutoClustering.Method; + +import edu.ucla.sspace.matrix.ClutoDenseMatrixBuilder; +import edu.ucla.sspace.matrix.ArrayMatrix; +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.MatrixIO; +import edu.ucla.sspace.matrix.MatrixIO.Format; +import edu.ucla.sspace.matrix.MatrixBuilder; +import edu.ucla.sspace.matrix.SparseMatrix; + +import java.io.BufferedReader; +import java.io.File; +import java.io.IOError; +import java.io.IOException; +import java.io.StringReader; + +import java.util.Properties; +import java.util.Random; + +import java.util.logging.Logger; + + +/** + * A {@link Clustering} implementation that iteratively computes the k-means + * clustering of a data set and fines the value of k that produced the most + * significant advantage compared to other values of k. This approach attempts + * to find a "knee" or "bend" in the graph of objective scores for k-means with + * different values of k. This clustering method is an implementation of the + * method specified in the following paper: + * + *
  • Pedersen, T and Kulkarni, + * A. (2006) Automatic Cluster Stopping with Criterion Functions and the Gap + * Statistic Sixth Annual Meeting of the North American Chapter of the + * Association for Computational Linguistics, 6, 276-279. + * Available here + *
    • + * + *

    + * + * Three measures for finding the knee are provided: PK1, PK2, and PK3 + * + * @author Keith Stevens + */ +public class AutomaticStopClustering implements Clustering { + + /** + * The logger used to record all output. + */ + private static final Logger LOGGER = + Logger.getLogger(AutomaticStopClustering.class.getName()); + + /** + * A property prefix used for properties. + */ + public static final String PROPERTY_PREFIX = + "edu.ucla.sspace.clustering.AutomaticStopClustering"; + + /** + * The number of clusters to start clustering at. + */ + public static final String NUM_CLUSTERS_START = + PROPERTY_PREFIX + ".numClusterStart"; + + /** + * The number of clusters to stop clustering at. + */ + public static final String NUM_CLUSTERS_END = + PROPERTY_PREFIX + ".numClusterEnd"; + + /** + * The number of clusters to stop clustering at. + */ + public static final String CLUSTERING_METHOD = + PROPERTY_PREFIX + ".clusteringMethod"; + + /** + * The number of clusters to stop clustering at. + */ + public static final String PK1_THRESHOLD = + PROPERTY_PREFIX + ".pk1Threshold"; + + /** + * The default number of clusters at which to start clustering. + */ + private static final String DEFAULT_NUM_CLUSTERS_START = "1"; + + /** + * The default number of clusters at which to stop clustering. + */ + private static final String DEFAULT_NUM_CLUSTERS_END = "10"; + + /** + * The default objective method to use. + */ + private static final String DEFAULT_CLUSTERING_METHOD = "PK3"; + + /** + * The default threshold when using the pk1 objective method. + */ + private static final String DEFAULT_PK1_THRESHOLD = "-.70"; + + /** + * The available stopping criteria. For each measure, let I2(k) be the + * objective method for evaluating the quality of the k-means clustering + * with k clusters. + */ + public enum Measure { + + /** + * For each number of clusters k, the score for is defined as + * W(k) = (I2(k) - mean(I2(k_i))) / std(I2(k_i)) + * + * This method will select the smallest k such that W(k) is greater than + * or equal to some threshold. + */ + PK1, + + /** + * For each number of clusters k, the score is defined as + * W(k) = I2(k) / I2(k-1) + * + * This method will select the smallest k such that W(k) is greater than + * 1 + std(I2(k-1)) + */ + PK2, + + /** + * For each number of clusters k, the score is defined as + * W(k) = 2 * I2(k) / (I2(k-1) + I2(k+1)) + * + * This method will select the smallest k such that W(k) is greater than + * 1 + std(I2(k-1)) + */ + PK3, + } + + /** + * A random number generator for creating reference data sets. + */ + private static final Random random = new Random(); + + /** + * The CLUTO clustering method name for k-means clustering. + */ + private static final Method METHOD = Method.KMEANS; + + private static final Criterion CRITERION = Criterion.H2; + + /** + * {@inheritDoc} + * + *

    + * + * Iteratively computes the k-means clustering of the dataset {@code m} + * using a specified method for determineing when to automaticaly stop + * clustering. + */ + public Assignment[] cluster(Matrix matrix, Properties props) { + int endSize = Integer.parseInt(props.getProperty( + NUM_CLUSTERS_END, DEFAULT_NUM_CLUSTERS_END)); + return cluster(matrix, endSize, props); + } + + /** + * {@inheritDoc} + * + *

    + * + * Iteratively computes the k-means clustering of the dataset {@code m} + * using a specified method for determineing when to automaticaly stop + * clustering. + */ + public Assignment[] cluster(Matrix m, + int numClusters, + Properties props) { + int startSize = Integer.parseInt(props.getProperty( + NUM_CLUSTERS_START, DEFAULT_NUM_CLUSTERS_START)); + + int numIterations = numClusters - startSize; + + Measure measure = Measure.valueOf(props.getProperty( + CLUSTERING_METHOD, DEFAULT_CLUSTERING_METHOD)); + + double pk1Threshold = Double.parseDouble(props.getProperty( + PK1_THRESHOLD, DEFAULT_PK1_THRESHOLD)); + + // Transfer the data set to a cluto matrix file. + File matrixFile = null; + try { + matrixFile = File.createTempFile("cluto-input",".matrix"); + MatrixIO.writeMatrix(m, matrixFile, Format.CLUTO_DENSE); + } catch (IOException ioe) { + throw new IOError(ioe); + } + + double[] objectiveWeights = new double[numIterations]; + File[] outFiles = new File[numIterations]; + // Compute the gap statistic for each iteration. + String result = null; + for (int i = 0; i < numIterations; ++i) { + LOGGER.fine("Clustering with " + (startSize + i) + " clusters"); + + try { + // Compute the score for the original data set with k clusters. + outFiles[i] = + File.createTempFile("autostop-clustering-out", ".matrix"); + result = ClutoWrapper.cluster(null, + matrixFile, + METHOD.getClutoName(), + CRITERION.getClutoName(), + outFiles[i], + i + startSize); + + objectiveWeights[i] = extractScore(result); + } catch (IOException ioe) { + throw new IOError(ioe); + } + } + + // Compute the best index based on the measure being used. + int bestK = -1; + switch (measure) { + case PK1: + bestK = computePk1Measure(objectiveWeights, pk1Threshold); + break; + case PK2: + bestK = computePk2Measure(objectiveWeights); + break; + case PK3: + bestK = computePk3Measure(objectiveWeights); + break; + } + + // Extract the cluster assignments based on the best found value of k. + Assignment[] assignments = new HardAssignment[m.rows()]; + try { + ClutoWrapper.extractAssignments(outFiles[bestK], assignments); + } catch (IOException ioe) { + throw new IOError(ioe); + } + + // Delete all the data files so that there are not too many open files + // later on. + matrixFile.delete(); + for (File outFile : outFiles) + outFile.delete(); + + return assignments; + } + + /** + * Compute the smallest k that satisfies the Pk1 method. + */ + private int computePk1Measure(double[] objectiveScores, + double pk1Threshold) { + LOGGER.fine("Computing the PK1 measure"); + + // Compute the average of the objective scores. + double average = 0; + for (int k = 0; k < objectiveScores.length; ++k) + average += objectiveScores[k]; + average /= objectiveScores.length; + + // Compute the standard deviation of the objective scores. + double stdev = 0; + for (int k = 0; k < objectiveScores.length; ++k) + stdev += Math.pow(objectiveScores[k], 2); + stdev /= objectiveScores.length; + stdev = Math.sqrt(stdev); + + // Find the smallest k such that the pk1 score surpasses the threshold. + for (int k = 0; k < objectiveScores.length; ++k) { + objectiveScores[k] = (objectiveScores[k] - average) / stdev; + if (objectiveScores[k] > pk1Threshold) + return k; + } + + return 0; + } + + /** + * Compute the smallest k that satisfies the Pk3 method. + */ + private int computePk2Measure(double[] objectiveScores) { + LOGGER.fine("Computing the PK2 measure"); + + // Compute each Pk2 score and the average score. + double average = 0; + for (int k = objectiveScores.length - 1; k > 0; --k) { + objectiveScores[k] /= objectiveScores[k-1]; + average += objectiveScores[k]; + } + average /= (objectiveScores.length - 1); + + // Compute the standard deviation of the PK2 scores. + double stdev = 0; + for (int k = 1; k < objectiveScores.length; ++k) + stdev += Math.pow(objectiveScores[k] - average, 2); + stdev /= (objectiveScores.length - 2); + stdev = Math.sqrt(stdev); + + // Find the point where the score is the smallest value greater than 1 + + // stdev of the PK1 scores. + double referencePoint = 1 + stdev; + int bestIndex = 0; + double bestScore = Double.MAX_VALUE; + for (int k = 1; k < objectiveScores.length; ++k) { + if (objectiveScores[k] < bestScore && + objectiveScores[k] >= referencePoint) { + bestIndex = k; + bestScore = objectiveScores[k]; + } + } + + return bestIndex; + } + + /** + * Compute the smallest k that satisfies the Pk3 method. + */ + private int computePk3Measure(double[] objectiveScores) { + LOGGER.fine("Computing the PK3 measure"); + + // Compute each Pk3 score and the average score. + double average = 0; + double[] weightedScores = new double[objectiveScores.length - 2]; + for (int k = 1; k < objectiveScores.length - 1 ; ++k) { + weightedScores[k-1] = 2 * objectiveScores[k] / + (objectiveScores[k-1] + objectiveScores[k+1]); + average += weightedScores[k-1]; + } + average /= (objectiveScores.length - 2); + + // Compute the standard deviation of PK3 scores. + double stdev = 0; + for (int k = 0; k < weightedScores.length; ++k) + stdev += Math.pow(weightedScores[k] - average, 2); + stdev /= (objectiveScores.length - 2); + stdev = Math.sqrt(stdev); + + // Find the point where the score is the smallest value greater than 1 + + // stdev of the PK3 scores. + double referencePoint = 1 + stdev; + int bestIndex = 0; + double bestScore = Double.MAX_VALUE; + for (int k = 0; k < weightedScores.length; ++k) { + if (weightedScores[k] < bestScore && + weightedScores[k] >= referencePoint) { + bestIndex = k; + bestScore = weightedScores[k]; + } + } + + return bestIndex + 1; + } + + /** + * Extracts the score of the objective function for a given set of + * clustering assignments. This requires scraping the output from Cluto to + * find the line specifiying the score. + */ + private double extractScore(String clutoOutput) throws IOException { + double score = 0; + BufferedReader reader = + new BufferedReader(new StringReader(clutoOutput)); + String line = null; + while ((line = reader.readLine()) != null) { + if (line.contains("[I2=")) { + String[] split = line.split("="); + int endOfIndex = split[1].indexOf("]"); + return Double.parseDouble(split[1].substring(0, endOfIndex)); + } + } + return 0; + } +} diff --git a/src/edu/ucla/sspace/clustering/ClusterUtil.java b/src/edu/ucla/sspace/clustering/ClusterUtil.java new file mode 100644 index 00000000..710a1506 --- /dev/null +++ b/src/edu/ucla/sspace/clustering/ClusterUtil.java @@ -0,0 +1,61 @@ +/* + * Copyright 2010 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.vector.SparseDoubleVector; +import edu.ucla.sspace.vector.SparseHashDoubleVector; +import edu.ucla.sspace.vector.VectorMath; + +import java.util.ArrayList; +import java.util.List; + + +public class ClusterUtil { + + public static List generateCentroids( + List dataPoints, + Assignment[] assignments, + int vectorLength) { + ArrayList centroids = + new ArrayList(); + int index = -1; + for (SparseDoubleVector dataPoint : dataPoints) { + index++; + int[] itemAssignments = assignments[index].assignments(); + + // Skip items that were not assigned to any + // cluster. + if (itemAssignments.length == 0) + continue; + + int assignment = itemAssignments[0]; + + // Ensure that the list of centroids has at least an + // empty vector for itself. + for (int i = centroids.size(); i <= assignment; ++i) + centroids.add(new SparseHashDoubleVector(vectorLength)); + // Add the context to the assigned cluster. + VectorMath.add(centroids.get(assignment), dataPoint); + } + return centroids; + } +} diff --git a/src/edu/ucla/sspace/clustering/Clustering.java b/src/edu/ucla/sspace/clustering/Clustering.java new file mode 100644 index 00000000..7f0acbc2 --- /dev/null +++ b/src/edu/ucla/sspace/clustering/Clustering.java @@ -0,0 +1,83 @@ +/* + * Copyright 2009 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.matrix.Matrix; + +import java.util.Properties; + + +/** + * An interface for any Ofline clustering implementation. This interface + * supports hard and soft clustering by returning a {@link Assignment}. A + * {@link Matrix} is passed in where each row is to be considered the set of + * data points to cluster. + * + *

    + * + * Implementations should not modify the contents of a {@code Matrix} to + * cluster. Implementations may use a passed in properties object to support + * additional parameters that for clustering. By convention, implementations + * should specify a set of default values such that the matrix rows can be + * clustered if no properties are specified. + * + *

    + * + * If a clustering algorithm requires the number of clusters to be specified, an + * implementation may throw an {@link UnsupportedOperationException} when the + * number of clusters is not specified. + * + * @author Keith Stevens + */ +public interface Clustering { + + /** + * Clusters the set of rows in the given {@code Matrix} without a specified + * number of clusters (optional operation). The set of cluster assignments + * are returned for each row in the matrix. + * + * @param matrix the {@link Matrix} whose row data points are to be + * clustered + * @param props the properties to use for any parameters each clustering + * algorithm may need + * + * @return an array of {@link Assignment} instances that indicate zero or + * more clusters to which each row belongs. + */ + Assignment[] cluster(Matrix matrix, Properties props); + + /** + * Clusters the set of rows in the given {@code Matrix} into the specified + * number of clusters. The set of cluster assignments are returned for each + * row in the matrix. + * + * @param matrix the {@link Matrix} whose row data points are to be + * clustered + * @param numClusters the number of clusters to generate + * @param props the properties to use for any parameters each clustering + * algorithm may need + * + * @return an array of {@link Assignment} instances that indicate zero or + * more clusters to which each row belongs. + */ + Assignment[] cluster(Matrix matrix, int numClusters, Properties props); +} diff --git a/src/edu/ucla/sspace/clustering/ClutoClustering.java b/src/edu/ucla/sspace/clustering/ClutoClustering.java new file mode 100644 index 00000000..44a5a71e --- /dev/null +++ b/src/edu/ucla/sspace/clustering/ClutoClustering.java @@ -0,0 +1,205 @@ +/* + * Copyright 2009 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.MatrixIO; +import edu.ucla.sspace.matrix.SparseMatrix; + +import java.io.BufferedReader; +import java.io.File; +import java.io.FileReader; +import java.io.InputStreamReader; +import java.io.IOError; +import java.io.IOException; + +import java.util.Properties; + +import java.util.logging.Level; +import java.util.logging.Logger; + + +/** + * A class for interacting with the CLUTO + * clustering library. + * + * @author David Jurgens + */ +public class ClutoClustering implements Clustering { + + /** + * A property prefix for specifiying options when using Cluto. + */ + public static final String PROPERTY_PREFIX = + "edu.ucla.sspace.clustering.ClutoClustering"; + + /** + * The property to set the name of a {@link ClutoClustering.Method} that + * Cluto should use in clustering the data. + */ + public static final String CLUSTER_METHOD = + PROPERTY_PREFIX + ".clusterSimilarity"; + + /** + * The property to set the name of a {@link ClutoClustering.Criterion} that + * Cluto should use in clustering the data. + */ + public static final String CLUSTER_CRITERION = + PROPERTY_PREFIX + ".clusterCriterion"; + + /** + * The method by which CLUTO should cluster the data points + */ + public enum Method { + + REPEATED_BISECTIONS_REPEATED("rbr"), + KMEANS("direct"), + AGGLOMERATIVE("agglo"), + NEAREST_NEIGHBOOR("graph"), + BAGGLO("bagglo"); + + /** + * The string abbreviation for each clustering method + */ + private final String name; + + Method(String name) { + this.name = name; + } + + /** + * Returns the name for this method that CLUTO uses on the command line. + */ + String getClutoName() { + return name; + } + } + + /** + * The crition function by which CLUTO should evaluate the clustering + * assignment. + */ + public enum Criterion { + + I1("i1"), + I2("i2"), + E1("e1"), + G1("g1"), + G1P("g1p"), + H1("h1"), + H2("h2"), + SLINK("slink"), + WSLINK("wslink"), + CLINK("clink"), + WCLINK("wclink"), + UPGMA("upgma"), + WUPGMA("wupgma"); + + /** + * The string abbreviation for each clustering method + */ + private final String name; + + Criterion(String name) { + this.name = name; + } + + /** + * Returns the name for this method that CLUTO uses on the command line. + */ + String getClutoName() { + return name; + } + } + + /** + * The default clustering method to be used by Cluto. + */ + private static Method DEFAULT_CLUSTER_METHOD = Method.AGGLOMERATIVE; + + private static Criterion DEFAULT_CRITERION = Criterion.UPGMA; + + /** + * A logger to track the status of Cluto. + */ + private static final Logger LOGGER = + Logger.getLogger(ClutoClustering.class.getName()); + + /** + * Creates a new {@code ClutoClustering} instance. + */ + public ClutoClustering() { } + + /** + * Throws an {@link UnsupportedOperationException} if called, as CLUTO + * requires the number of clusters to be specified. + */ + public Assignment[] cluster(Matrix matrix, Properties properties) { + throw new UnsupportedOperationException( + "CLUTO requires the number of clusters to be specified and " + + "therefore cannot be invoked using this method."); + } + + /** + * {@inheritDoc} + * + * @param properties the properties to use for clustering with CLUTO. See + * {@link ClutoClustering} for the list of supported properties. + */ + public Assignment[] cluster(Matrix matrix, int numClusters, + Properties properties) { + Method clmethod = DEFAULT_CLUSTER_METHOD; + String methodProp = properties.getProperty(CLUSTER_METHOD); + if (methodProp != null) + clmethod = Method.valueOf(methodProp); + Criterion criterion = DEFAULT_CRITERION; + String criterionProp = properties.getProperty(CLUSTER_CRITERION); + if (criterionProp != null) + criterion = Criterion.valueOf(criterionProp); + return cluster(matrix, numClusters, clmethod, criterion); + } + + /** + * Clusters the set of rows in the given {@code Matrix} into a specified + * number of clusters using the specified CLUTO clustering method. + * + * @param matrix the {@link Matrix} containing data points to cluster + * @param numClusters the number of clusters to generate + * @param clusterMethod the method by which cluto should cluster the rows + * + * @return an array of {@link Assignment} instances that indicate zero or + * more clusters to which each row belongs. + */ + public Assignment[] cluster(Matrix matrix, int numClusters, + Method clusterMethod, + Criterion criterionMethod) { + try { + String clmethod = clusterMethod.getClutoName(); + String crtmethod = criterionMethod.getClutoName(); + return ClutoWrapper.cluster(matrix, clmethod, + crtmethod, numClusters); + } catch (IOException ioe) { + throw new IOError(ioe); + } + } +} diff --git a/src/edu/ucla/sspace/clustering/ClutoWrapper.java b/src/edu/ucla/sspace/clustering/ClutoWrapper.java new file mode 100644 index 00000000..0f49f010 --- /dev/null +++ b/src/edu/ucla/sspace/clustering/ClutoWrapper.java @@ -0,0 +1,248 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.MatrixIO; +import edu.ucla.sspace.matrix.SparseMatrix; + +import java.io.BufferedReader; +import java.io.File; +import java.io.FileReader; +import java.io.InputStreamReader; +import java.io.IOError; +import java.io.IOException; + +import java.util.Properties; + +import java.util.logging.Level; +import java.util.logging.Logger; + + +/** + * An internal class for interacting with the CLUTO + * library on the command line. This class is provided in order to expose more + * of the cluto interface for other clustering methods without duplicating code. + * + * @author David Jurgens + */ +class ClutoWrapper { + + /** + * A logger to track the status of Cluto. + */ + private static final Logger LOGGER = + Logger.getLogger(ClutoWrapper.class.getName()); + + /** + * Uninstantiable + */ + private ClutoWrapper() { } + + /** + * Clusters the rows of the give file into the specified number of clusters + * using the string {@code method} to indicate to Cluto which type of + * clustering to use, and returning the assignment. + * + * @param matrixFile The data file containing the data points to cluster. + * @param outputFile The data file that will store the cluster assignments + * made by cluto. + * @param numClusters The number of clusters into which the matrix should + * divided. + * @param clmethod A string recognized by Cluto that indicates which + * clustering algorithm should be used. + * @param crtFunction A string recognized by Cluto that indiicates which + * criterion method should be used. + * + * @return clusterAssignment An array where each element corresponds to a + * row and the filled in value will be the cluster number to which + * that row was assigned. Cluster numbers will start at 0 and + * increase. Rows that were not able to be clustered will be + * assigned a -1 value. + */ + static Assignment[] cluster(Matrix matrix, String clmethod, + String crtFunction, int numClusters) + throws IOException { + Assignment[] assignments = new Assignment[matrix.rows()]; + File outputFile = File.createTempFile("cluto-output", ".matrix"); + outputFile.deleteOnExit(); + cluster(assignments, matrix, clmethod, crtFunction, + numClusters, outputFile); + extractAssignments(outputFile, assignments); + return assignments; + } + + + /** + * Clusters the rows of the give file into the specified number of clusters + * using the string {@code method} to indicate to Cluto which type of + * clustering to use, and returns the standard output from the program. + * + * @param clusterAssignment An input parameters array where each + * element corresponds to a row and the filled in value will be the + * cluster number to which that row was assigned. Cluster numbers + * will start at 0 and increase. Rows that were not able to be + * clustered will be assigned a -1 value. + * @param matrixFile The data file containing the data points to cluster. + * @param outputFile The data file that will store the cluster assignments + * made by cluto. + * @param numClusters The number of clusters into which the matrix should + * divided. + * @param clmethod A string recognized by Cluto that indicates which + * clustering algorithm should be used. + * + * @return A string containing the standard output created by Cluto. + */ + static String cluster(Assignment[] clusterAssignment, + Matrix matrix, + String clmethod, + String crtFun, + int numClusters, + File outputFile) + throws IOException { + + LOGGER.log(Level.FINE, "clustering {0} data points with {1} features", + new Object[] { matrix.rows(), matrix.columns() }); + File matrixFile = File.createTempFile("cluto-input",".matrix"); + // NOTE: Cluto seems to have allocation problems on sparse matrices that + // are dense. Therefore, try to estimate whether to use a dense matrix + // format based on the matrix type + MatrixIO.writeMatrix(matrix, matrixFile, + ((matrix instanceof SparseMatrix) + ? MatrixIO.Format.CLUTO_SPARSE + : MatrixIO.Format.CLUTO_DENSE)); + String output = cluster(clusterAssignment, matrixFile, clmethod, crtFun, + outputFile, numClusters); + // Clean up the temporary file now, and if for some reason that failed, + // mark the file to be deleted on exit. + if (!matrixFile.delete()) + matrixFile.deleteOnExit(); + return output; + } + + + /** + * Clusters the rows of the give file into the specified number of clusters + * using the string {@code method} to indicate to Cluto which type of + * clustering to use. + * + * @param clusterAssignment An input parameer that is an array where + * each element corresponds to a row and the filled in value will be + * the cluster number to which that row was assigned. Cluster + * numbers will start at 0 and increase. Rows that were not able to + * be clustered will be assigned a -1 value. + * @param matrixFile The data file containing the data points to cluster. + * @param outputFile The data file that will store the cluster assignments + * made by cluto. + * @param numClusters The number of clusters into which the matrix should + * divided. + * @param clmethod A string recognized by Cluto that indicates which + * clustering algorithm should be used. + * @param crtFun The criterion function to use. + * + * @return A string containing the standard output created by Cluto. + */ + public static String cluster(Assignment[] clusterAssignment, + File matrixFile, + String clmethod, + String crtFun, + File outputFile, + int numClusters) + throws IOException { + // NOTE: the defaults for Agglomerative clustering are cosine similarity + // and using mean-link (UPGMA) clustering, which is what we want. + String commandLine = "vcluster " + + "-clmethod=" + clmethod + " " + + "-clustfile=" + outputFile + " " + + "-crfun=" + crtFun + + " " + matrixFile + + " " + numClusters; + LOGGER.fine("executing: " + commandLine); + Process cluto = Runtime.getRuntime().exec(commandLine); + + BufferedReader stdout = new BufferedReader( + new InputStreamReader(cluto.getInputStream())); + BufferedReader stderr = new BufferedReader( + new InputStreamReader(cluto.getErrorStream())); + + String clutoOutput = null; + StringBuilder output = new StringBuilder("Cluto output:\n"); + for (String line = null; (line = stdout.readLine()) != null; ) + output.append(line).append("\n"); + clutoOutput = output.toString(); + if (LOGGER.isLoggable(Level.FINE)) + LOGGER.fine(clutoOutput); + + int exitStatus = 0; + try { + exitStatus = cluto.waitFor(); + } catch (InterruptedException ie) { + LOGGER.log(Level.SEVERE, "Cluto", ie); + } + + LOGGER.finer("Cluto exit status: " + exitStatus); + + // If Cluto was successful in generating the clustering the rows, read + // in the results file to generate the output. + if (exitStatus == 0 && clusterAssignment != null) + extractAssignments(outputFile, clusterAssignment); + else if (exitStatus != 0) { + StringBuilder sb = new StringBuilder(); + for (String line = null; (line = stderr.readLine()) != null; ) + sb.append(line).append("\n"); + + // warning or error? + LOGGER.warning("Cluto exited with error status. " + exitStatus + + " stderr:\n" + sb.toString()); + throw new Error("Clustering failed"); + } + + stdout.close(); + stderr.close(); + + return clutoOutput; + } + + /** + * Extracts the set of assignemnts from a CLUTO assignment file. + * + * @param outputFile the file containing the output of CLUTO's clustering + * @param clusterAssignment an input parameters whose values will be + * set based on the contents of {@code outputFile}. + */ + static void extractAssignments(File outputFile, + Assignment[] clusterAssignment) + throws IOException { + // The cluster assignmnet file is formatted as each row (data point) + // having its cluster label specified on a separate line. We can + // read these in sequence to generate the output array. + BufferedReader br = new BufferedReader(new FileReader(outputFile)); + for (int i = 0; i < clusterAssignment.length; ++i) { + int j = Integer.parseInt(br.readLine()); + clusterAssignment[i] = (j < 0) + ? new HardAssignment() // no cluster assignment + : new HardAssignment(j); // specific cluster + } + br.close(); + } +} diff --git a/src/edu/ucla/sspace/clustering/GapStatistic.java b/src/edu/ucla/sspace/clustering/GapStatistic.java new file mode 100644 index 00000000..21b0c0c6 --- /dev/null +++ b/src/edu/ucla/sspace/clustering/GapStatistic.java @@ -0,0 +1,445 @@ +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.clustering.ClutoClustering.Criterion; +import edu.ucla.sspace.clustering.ClutoClustering.Method; + +import edu.ucla.sspace.matrix.ClutoSparseMatrixBuilder; +import edu.ucla.sspace.matrix.ArrayMatrix; +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.Matrix.Type; +import edu.ucla.sspace.matrix.MatrixIO; +import edu.ucla.sspace.matrix.MatrixIO.Format; +import edu.ucla.sspace.matrix.MatrixBuilder; +import edu.ucla.sspace.matrix.SparseMatrix; + +import edu.ucla.sspace.vector.SparseDoubleVector; +import edu.ucla.sspace.vector.SparseHashDoubleVector ; + +import java.io.BufferedReader; +import java.io.File; +import java.io.IOError; +import java.io.IOException; +import java.io.StringReader; + +import java.util.HashSet; +import java.util.Properties; +import java.util.Random; +import java.util.Set; + +import java.util.logging.Logger; + + +/** + * A {@link Clustering} implementation that iteratively computes the + * k-means clustering of a data set and compares it to a random sample of + * reference data points. This will recompute k-means with incresing values of + * k until the difference between the original data set and the reference data + * sets begins to decline. Clustering will stop at the first k value where this + * difference is less than the previous difference. This clustering method is + * an implementation of the method specified in the following paper: + * + *
  • R. Tibshirani, G. Walther, + * and T. Hastie. (2001). Estimating the number of clusters in a dataset via + * the Gap statistic. Journal of the Royal Statistics Society (Series + * B), 411–423. Available here + *
    • + * + * @author Keith Stevens + */ +public class GapStatistic implements Clustering { + + /** + * The logger used to record all output. + */ + private static final Logger LOGGER = + Logger.getLogger(GapStatistic.class.getName()); + + /** + * A property prefix used for properties. + */ + public static final String PROPERTY_PREFIX = + "edu.ucla.sspace.clustering.GapStatistic"; + + /** + * The number of clusters to start clustering at. + */ + public static final String NUM_CLUSTERS_START = + PROPERTY_PREFIX + ".numClusterStart"; + + /** + * The number of reference data sets to use. + */ + public static final String NUM_REFERENCE_DATA_SETS = + PROPERTY_PREFIX + ".numReferenceDataSets"; + + /** + * The default number of clusters at which to start clustering. + */ + private static final String DEFAULT_NUM_CLUSTERS_START = "1"; + + /** + * The default number of clusters at which to stop clustering. + */ + private static final String DEFAULT_NUM_CLUSTERS_END = "10"; + + /** + * The default number of reference data sets to use. + */ + private static final String DEFAULT_NUM_REFERENCE_DATA_SETS = "5"; + + /** + * A random number generator for creating reference data sets. + */ + private static final Random random = new Random(); + + /** + * The cluto clustering method name for k-means clustering. + */ + private static final Method METHOD = Method.KMEANS; + + private static final Criterion CRITERION = Criterion.H2; + + /** + * {@inheritDoc} + */ + public Assignment[] cluster(Matrix matrix, Properties props) { + return cluster(matrix, Integer.MAX_VALUE, props); + } + + /** + * {@inheritDoc} + * + *

    + * + * Iteratively computes the k-means clustering of the dataset {@code m} + * using the the Gap Statistic . + */ + public Assignment[] cluster(Matrix m, + int maxClusters, + Properties props) { + int startSize = Integer.parseInt(props.getProperty( + NUM_CLUSTERS_START, DEFAULT_NUM_CLUSTERS_START)); + int numGaps = Integer.parseInt(props.getProperty( + NUM_REFERENCE_DATA_SETS, DEFAULT_NUM_REFERENCE_DATA_SETS)); + int numIterations = maxClusters - startSize; + + verbose("Generating the reference data set"); + // Generate the reference data sets. + ReferenceDataGenerator generator = new ReferenceDataGenerator(m); + File[] gapFiles = new File[numGaps]; + for (int i = 0; i < numGaps; ++i) + gapFiles[i] = generator.generateTestData(); + + // Transfer the data set to a cluto matrix file. + File matrixFile = null; + try { + matrixFile = File.createTempFile("cluto-input",".matrix"); + MatrixIO.writeMatrix(m, matrixFile, Format.CLUTO_SPARSE); + } catch (IOException ioe) { + throw new IOError(ioe); + } + + // Setup files to store store what the previous gap statistic was and + // the previous clustering assignment. + File previousFile = null; + double previousGap = Double.MIN_VALUE; + + // Compute the gap statistic for each iteration. + String result = null; + for (int i = 0; i < numIterations; ++i) { + int k = i + startSize; + try { + verbose("Clustering reference data for %d clusters\n", k); + + // Compute the score for the reference data sets with k + // clusters. + double referenceScore = 0; + double[] referenceScores = new double[numGaps]; + for (int j = 0; j < numGaps; ++j) { + File outputFile = + File.createTempFile("gap-clustering-output", ".matrix"); + try { + result = ClutoWrapper.cluster(null, + gapFiles[j], + METHOD.getClutoName(), + CRITERION.getClutoName(), + outputFile, + k); + outputFile.delete(); + } catch (Error e) { + // The ClutoWrapper throws an error when cluto crashes. + // If this happens, we don't want the system to crash + // and die, so assume that larger values of K cannot be + // used and use the previous clustering solutition as + // the best. + verbose("Cluto experienced an error clustering with " + + "%d clusters. Returning %d as the best " + + "clusteirng solution", k+1, k+1); + break; + } + + referenceScores[j] = Math.log(extractScore(result)); + referenceScore += referenceScores[j]; + } + referenceScore /= numGaps; + + // Compute the standard deviation for the reference scores. + double referenceStdev = 0; + for (double score : referenceScores) + referenceStdev += Math.pow(score - referenceScore, 2); + referenceStdev /= numGaps; + referenceStdev = Math.sqrt(referenceStdev); + + verbose("Clustering original data for %d clusters\n", k); + // Compute the score for the original data set with k clusters. + File outFile = + File.createTempFile("gap-clustering-output", ".matrix"); + + try { + result = ClutoWrapper.cluster(null, + matrixFile, + METHOD.getClutoName(), + CRITERION.getClutoName(), + outFile, + i + startSize); + } catch (Error e) { + // The ClutoWrapper throws an error when cluto crashes. + // If this happens, we don't want the system to crash + // and die, so assume that larger values of K cannot be + // used and use the previous clustering solutition as + // the best. + verbose("Cluto experienced an error clustering with " + + "%d clusters. Returning %d as the best " + + "clusteirng solution", k+1, k+1); + break; + } + + // Compute the difference between the two scores. If the + // current score is less than the previous score, then the + // previous assignment is considered best. + double gap = Math.log(extractScore(result)); + gap = referenceScore - gap; + if (previousGap >= (gap - referenceStdev)) { + verbose("Found best clustering with %d clusters\n", (k-1)); + break; + } + + // Delete the contents of the previous file so that there isn't + // an overflow of open files. + if (previousFile != null) + previousFile.delete(); + + // Otherwise, continue clustering with higher values of k. + previousGap = gap; + previousFile = outFile; + } catch (IOException ioe) { + throw new IOError(ioe); + } + } + + // Extract the cluster assignments based on the best found value of k. + Assignment[] assignments = new Assignment[m.rows()]; + try { + ClutoWrapper.extractAssignments(previousFile, assignments); + } catch (IOException ioe) { + throw new IOError(ioe); + } + + // Delete the matrix files so that there is not an abundance of open + // files. + matrixFile.delete(); + for (File gapFile : gapFiles) + gapFile.delete(); + + return assignments; + } + + /** + * Extracts the score of the objective function for a given set of + * clustering assignments. This requires scraping the output from Cluto to + * find the line specifiying the score. + */ + private double extractScore(String clutoOutput) throws IOException { + double score = 0; + BufferedReader reader = + new BufferedReader(new StringReader(clutoOutput)); + String line = null; + while ((line = reader.readLine()) != null) { + if (line.contains("[I2=")) { + String[] split = line.split("="); + int endOfIndex = split[1].indexOf("]"); + return Double.parseDouble(split[1].substring(0, endOfIndex)); + } + } + return 0; + } + + /** + * A simple data set generator that generates new vectors based on the range + * of values each feature in the vector can take one. + */ + private class ReferenceDataGenerator { + + /** + * The minimum value for each feature. + */ + private final double[] minValues; + + /** + * The maximum value for each feature. + */ + private final double[] maxValues; + + /** + * The average number of non zero values in a single row. + */ + private final double averageNumValuesPerRow; + + /** + * The standard deviation of the number of non zero values in a single + * row. + */ + private final double stdevNumValuesPerRow; + + /** + * The number of rows to generate in a test data set. + */ + private final int rows; + + private Set nonZeroFeatures; + + /** + * Creates a new {@code ReferenceDataGenerator} based on the given + * matrix {@code m}. + */ + public ReferenceDataGenerator(Matrix m) { + // Initialize the bounds. + rows = m.rows(); + minValues = new double[m.columns()]; + maxValues = new double[m.columns()]; + nonZeroFeatures = new HashSet(); + int[] numNonZeros = new int[m.rows()]; + double averageNumNonZeros = 0; + + if (m instanceof SparseMatrix) { + SparseMatrix sm = (SparseMatrix) m; + for (int r = 0; r < m.rows(); ++r) { + SparseDoubleVector v = sm.getRowVector(r); + int[] nonZeros = v.getNonZeroIndices(); + numNonZeros[r] += nonZeros.length; + averageNumNonZeros += nonZeros.length; + for (int column : nonZeros) { + nonZeroFeatures.add(column); + double value = v.get(column); + // Get the max and minimum value for the row. + if (value < minValues[column]) + minValues[column] = value; + if (value > maxValues[column]) + maxValues[column] = value; + } + } + } else { + for (int r = 0; r < m.rows(); ++r) { + for (int c = 0; c < m.columns(); ++c) { + double value = m.get(r, c); + // Get the max and minimum value for the row. + if (value < minValues[c]) + minValues[c] = value; + if (value > maxValues[c]) + maxValues[c] = value; + + // Calculate the number of non zeros per row. + if (value != 0d) { + numNonZeros[r]++; + averageNumNonZeros++; + nonZeroFeatures.add(c); + } + } + } + } + + // Finalize the average number of non zeros per row. + averageNumValuesPerRow = averageNumNonZeros / m.rows(); + + // Compute the standard deviation of the number of non zeros per + // row. + double stdev = 0; + for (int nonZeroCount : numNonZeros) + stdev += Math.pow(averageNumValuesPerRow- nonZeroCount, 2); + + // Finalize the standar deviation. + stdevNumValuesPerRow = Math.sqrt(stdev / m.rows()); + + } + + /** + * Creates a test file in the {@code CLUTO_DENSE} format containing + * reference data points from a data distribution similar to the + * original. + */ + public File generateTestData() { + verbose("Generating a new reference set"); + + // Assume that data is sparse. + MatrixBuilder builder = new ClutoSparseMatrixBuilder(); + for (int i = 0; i < rows; ++i) { + int cols = minValues.length; + //double[] values = new double[cols]; + + // If the average number of values per row is significantly + // smaller than the total number of columns then select a subset + // to be non zero. + //if (averageNumValuesPerRow < cols / 2) { + SparseHashDoubleVector column = + new SparseHashDoubleVector(cols); + int numNonZeros = + (int) (random.nextGaussian() * stdevNumValuesPerRow + + averageNumValuesPerRow); + if (numNonZeros == 0) + numNonZeros++; + + for (int j = 0; j < numNonZeros; ++j) { + // Get the next index to set. + int col = getNonZeroColumn(); + double value = random.nextDouble() * + (maxValues[col] - minValues[col]) + minValues[col]; + column.set(col, value); + } + builder.addColumn(column); + /*} else { + // Set all values in the column. + for (int j = 0; j < cols; ++j) { + double value = random.nextDouble(); + values[j] = value * (maxValues[j] - minValues[j]) + + minValues[j]; + } + } + */ + } + builder.finish(); + return builder.getFile(); + } + + /** + * Returns a randomly chosen, with replacement, column that has a non + * zero feature in the original data set. + */ + private int getNonZeroColumn() { + while (true) { + int col = random.nextInt(minValues.length); + if (nonZeroFeatures.contains(col)) + return col; + } + } + + } + + protected void verbose(String msg) { + LOGGER.fine(msg); + } + + protected void verbose(String format, Object... args) { + LOGGER.fine(String.format(format, args)); + } +} diff --git a/src/edu/ucla/sspace/clustering/HardAssignment.java b/src/edu/ucla/sspace/clustering/HardAssignment.java new file mode 100644 index 00000000..63ffc3ae --- /dev/null +++ b/src/edu/ucla/sspace/clustering/HardAssignment.java @@ -0,0 +1,59 @@ +/* + * Copyright 2009 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + + +/** + * An implementation of a {@link Assignment} where a data point may be assigned + * to at most one cluster, i.e. a hard assignment policy. + */ +public class HardAssignment implements Assignment { + + /** + * The array holding the single assignment. + */ + private final int[] assignments; + + /** + * Creates a new {@link HardAssignment} the data point is not assigned to + * any cluster. + */ + public HardAssignment() { + assignments = new int[0]; + } + + /** + * Creates a new {@link HardAssignment} where the data point is assigned to + * the specified cluster value. + */ + public HardAssignment(int assignment) { + assignments = new int[1]; + assignments[0] = assignment; + } + + /** + * {@inheritDoc} + */ + public int[] assignments() { + return assignments; + } +} diff --git a/src/edu/ucla/sspace/clustering/HierarchicalAgglomerativeClustering.java b/src/edu/ucla/sspace/clustering/HierarchicalAgglomerativeClustering.java new file mode 100644 index 00000000..0bb7d15d --- /dev/null +++ b/src/edu/ucla/sspace/clustering/HierarchicalAgglomerativeClustering.java @@ -0,0 +1,1240 @@ +/* + * Copyright 2009 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.common.Similarity; +import edu.ucla.sspace.common.Similarity.SimType; + +import edu.ucla.sspace.matrix.Matrices; +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.Matrix.Type; +import edu.ucla.sspace.matrix.MatrixIO; +import edu.ucla.sspace.matrix.MatrixIO.Format; +import edu.ucla.sspace.matrix.OnDiskMatrix; + +import edu.ucla.sspace.util.WorkQueue; + +import java.io.BufferedReader; +import java.io.File; +import java.io.FileReader; +import java.io.InputStreamReader; +import java.io.IOException; +import java.io.PrintWriter; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedHashSet; +import java.util.List; +import java.util.Map; +import java.util.Properties; +import java.util.Set; + +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ConcurrentNavigableMap; +import java.util.concurrent.ConcurrentSkipListMap; + +import java.util.logging.Level; +import java.util.logging.Logger; + + +/** + * A utility class for performing Hierarchical + * Agglomerative Clustering on matrix data in a file. + * + *

    This class provides static accessors to several variations of + * agglomerative clustering and conforms to the {@link Clustering} interface, + * which allows this method to be used in place of other clustering algorithms. + * + *

    In addition to clustering, this implementation also exposes the ability + * to view the iterative bottom-up merge through the {@link + * buildDendrogram(Matrix,ClusterLinkage,SimType) buildDendogram} methods. + * These methods return a series of {@link Merge} operations that can be used to + * construct a dendrogram + * and see the partial clustering at any point during the agglomerative merging + * process. For example, to view the clustering solution after four steps, the + * following code might be used: + * + *

    + *   Matrix matrix; 
+ *   List<Merge> merges = buildDendogram(matrix, ...);
+ *   List<Merge> fourMergeSteps = merges.subList(0, 4);
+ *   MultiMap<Integer,Integer> clusterToRows =  new HashMultiMap<Integer,Integer>();
+ *   for (int i = 0; i < matrix.rows(); ++i)
+ *       clusterToElements.put(i, i);
+ *
+ *   for (Merge m : fourMergeSteps) {
+ *       clusterToElements.putMulti(m.remainingCluster(), 
+ *           clusterToElements.remove(m.mergedCluster()));
+ *   }
+ *
    + * + * The resulting {@link edu.ucla.sspace.util.MultiMap} {@code clusterToRows} + * contains the mapping from each cluster to the rows that are a part of it. + * + *

    Implementation Note: The current version runs in O(n3) + * worst case time for the number of rows in the matrix. While O(n2 + * * log(n)) methods exist, these require storing similarity comparisons in a + * priority queue, which has a substantially higher memory overhead. Therefore, + * this implementation has opted for a more expensive running time in order to + * be able to process larger matrices. + * + *

    When using the {@link Clustering#cluster(Matrix,Properties)} interface, + * this class supports the following properties for controlling the clustering. + * + *

    + *
    Property: {@value #MIN_CLUSTER_SIMILARITY_PROPERTY} + *
    + * Default: unset + * + *
    This property specifies the cluster similarity + * threshold at which two clusters are merged together. Merging will + * continue until either all clusters have similarities below this + * threshold or the number of desired clusters has been reached. This + * property provides an alternative to the num of clusters property for + * deciding when to stop agglomeratively merging clusters. Both properties + * cannot be specified at the same time.

    + * + *
    Property: {@value #CLUSTER_LINKAGE_PROPERTY} + *
    + * Default: {@value #DEFAULT_CLUSTER_LINKAGE_PROPERTY} + * + *
    This property specifies the {@link + * ClusterLinkage} to use when computing cluster similarity.

    + * + *
    Property: {@value #SIMILARITY_FUNCTION_PROPERTY} + *
    + * Default: {@link SimType#COSINE COSINE} + * + *
    This property specifies the name of {@link + * SimType} to use when computing the similarity of two data points.

    + * + *
    Property: {@value #NUM_CLUSTERS_PROPERTY} + *
    + * Default: unset + * + *
    This property specifies the number of clusters + * to generate from the data. Clusters are agglomeratively merged until + * the specified number of clusters is reached. This property provides an + * alternative to the cluster similarity property for deciding when to stop + * agglomeratively merging clusters. Both properties cannot be specified + * at the same time.

    + * + *
    + * + * @author David Jurgens + */ +public class HierarchicalAgglomerativeClustering implements Clustering { + + /** + * The method to use when comparing the similarity of two clusters. See + * here for an example of how the different linkages operate. + */ + public enum ClusterLinkage { + /** + * Clusters will be compared based on the most similar link between + * them. + */ + SINGLE_LINKAGE, + + /** + * Clusters will be compared based on the total similarity of all + * pair-wise comparisons of the data points in each. + */ + COMPLETE_LINKAGE, + + /** + * Clusters will be compared using the similarity of the computed mean + * data point (or centroid) for each cluster. This comparison + * method is also known as UPGMA. + */ + MEAN_LINKAGE, + + /** + * Clusters will be compared using the similarity of the computed + * median data point for each cluster + */ + MEDIAN_LINKAGE + } + + /** + * A prefix for specifying properties. + */ + public static final String PROPERTY_PREFIX = + "edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering"; + + /** + * The property for specifying the cluster similarity threshold. + */ + public static final String MIN_CLUSTER_SIMILARITY_PROPERTY = + PROPERTY_PREFIX + ".clusterThreshold"; + + /** + * The property for specifying the cluster linkage to use. + */ + public static final String CLUSTER_LINKAGE_PROPERTY = + PROPERTY_PREFIX + ".clusterLinkage"; + + /** + * The property for specifying the similarity function to use. + */ + public static final String SIMILARITY_FUNCTION_PROPERTY = + PROPERTY_PREFIX + ".simFunc"; + + /** + * The property for specifying the similarity function to use. + */ + public static final String NUM_CLUSTERS_PROPERTY = + PROPERTY_PREFIX + ".numClusters"; + + /** + * The default similarity threshold to use. + */ + private static final String DEFAULT_MIN_CLUSTER_SIMILARITY_PROPERTY = "-1"; + + /** + * The default linkage method to use. + */ + public static final String DEFAULT_CLUSTER_LINKAGE_PROPERTY = + "COMPLETE_LINKAGE"; + + /** + * The default similarity function to use. + */ + private static final String DEFAULT_SIMILARITY_FUNCTION_PROPERTY = + "COSINE"; + + /** + * The logger to which clustering status updates will be written. + */ + private static final Logger LOGGER = + Logger.getLogger(HierarchicalAgglomerativeClustering.class.getName()); + + /** + * The work used by all HAC instances to perform multi-threaded operations. + */ + private static final WorkQueue WORK_QUEUE = new WorkQueue(); + + /** + * {@inheritDoc} + */ + public Assignment[] cluster(Matrix matrix, Properties props) { + String minSimProp = props.getProperty(MIN_CLUSTER_SIMILARITY_PROPERTY); + String numClustProp = props.getProperty(NUM_CLUSTERS_PROPERTY); + String simFuncProp = props.getProperty(SIMILARITY_FUNCTION_PROPERTY); + String linkageProp = props.getProperty(CLUSTER_LINKAGE_PROPERTY); + + SimType simFunc = SimType.valueOf((simFuncProp == null) + ? DEFAULT_SIMILARITY_FUNCTION_PROPERTY + : simFuncProp); + ClusterLinkage linkage = ClusterLinkage.valueOf((linkageProp == null) + ? DEFAULT_CLUSTER_LINKAGE_PROPERTY + : linkageProp); + + + if (minSimProp == null && numClustProp == null) + throw new IllegalArgumentException( + "This class requires either a specified number of clusters or "+ + "a minimum cluster similarity threshold in order to partition "+ + "throw rows of the input. Either needs to be provided as a " + + "property"); + else if (minSimProp != null && numClustProp != null) + throw new IllegalArgumentException( + "Cannot specify both a fixed number of clusters AND a minimum "+ + "cluster similarity as input properties"); + else if (minSimProp != null) { + try { + double clusterSimThresh = Double.parseDouble(minSimProp); + return toAssignments(cluster(matrix, clusterSimThresh, + linkage, simFunc, -1)); + } catch (NumberFormatException nfe) { + throw new IllegalArgumentException( + "Cluster similarity threshold was not a valid double: " + + minSimProp); + } + } + else { + return cluster(matrix, -1, props); + } + } + + /** + * {@inheritDoc} The value of the {@code numClusters} parameter will + * override the {@value #NUM_CLUSTERS_PROPERTY} if it was specified. + */ + public Assignment[] cluster(Matrix m, + int numClusters, + Properties props) { + double clusterSimilarityThreshold = + Double.parseDouble(props.getProperty( + MIN_CLUSTER_SIMILARITY_PROPERTY, + DEFAULT_MIN_CLUSTER_SIMILARITY_PROPERTY)); + + ClusterLinkage linkage = ClusterLinkage.valueOf(props.getProperty( + CLUSTER_LINKAGE_PROPERTY, + DEFAULT_CLUSTER_LINKAGE_PROPERTY)); + + SimType similarityFunction = SimType.valueOf(props.getProperty( + SIMILARITY_FUNCTION_PROPERTY, + DEFAULT_SIMILARITY_FUNCTION_PROPERTY)); + return toAssignments(cluster(m, clusterSimilarityThreshold, linkage, + similarityFunction, numClusters)); + } + + /** + * Clusters all rows in the matrix using the specified cluster similarity + * measure for comparison and stopping when the number of clusters is equal + * to the specified number. + * + * @param m a matrix whose rows are to be clustered + * @param numClusters the number of clusters into which the matrix should + * divided + * @param linkage the method to use for computing the similarity of two + * clusters + * + * @return an array where each element corresponds to a row and the value is + * the cluster number to which that row was assigned. Cluster + * numbers will start at 0 and increase. + */ + static int[] partitionRows(Matrix m, int numClusters, + ClusterLinkage linkage, + SimType similarityFunction) { + return cluster(m, -1, linkage, similarityFunction, numClusters); + } + + /** + * Clusters all rows in the matrix using the specified cluster similarity + * measure for comparison and threshold for when to stop clustering. + * Clusters will be repeatedly merged until the highest cluster similarity + * is below the threshold. + * + * @param m a matrix whose rows are to be clustered + * @param clusterSimilarityThreshold the threshold to use when deciding + * whether two clusters should be merged. If the similarity of the + * clusters is below this threshold, they will not be merged and the + * clustering process will be stopped. + * @param linkage the method to use for computing the similarity of two + * clusters + * + * @return an array where each element corresponds to a row and the value is + * the cluster number to which that row was assigned. Cluster + * numbers will start at 0 and increase. + */ + @SuppressWarnings("unchecked") + static int[] clusterRows(Matrix m, double clusterSimilarityThreshold, + ClusterLinkage linkage, + SimType similarityFunction) { + return cluster(m, clusterSimilarityThreshold, linkage, + similarityFunction, -1); + } + + /** + * + * + * @param m a matrix whose rows are to be clustered + * @param clusterSimilarityThreshold the optional parameter for specifying + * the minimum inter-cluster similarity to use when deciding whether + * two clusters should be merged. If {@code maxNumberOfClusters} is + * positive, this value is discarded in order to cluster to a fixed + * number. Otherwise all clusters will be merged until the minimum + * distance is less than this threshold. + * @param linkage the method to use for computing the similarity of two + * clusters + * @param maxNumberOfClusters an optional parameter to specify the maximum + * number of clusters to have. If this value is non-positive, + * clusters will be merged until the inter-cluster similarity is + * below the threshold, otherwise; if the value is positive, clusters + * are merged until the desired number of clusters has been reached. + * + * @return an array where each element corresponds to a row and the value is + * the cluster number to which that row was assigned. Cluster + * numbers will start at 0 and increase. + */ + private static int[] cluster(Matrix m, double clusterSimilarityThreshold, + ClusterLinkage linkage, + SimType similarityFunction, + int maxNumberOfClusters) { + int rows = m.rows(); + LOGGER.info("Generating similarity matrix for " + rows+ " data points"); + Matrix similarityMatrix = + computeSimilarityMatrix(m, similarityFunction); + + // Create the initial set of clusters where each row is originally in + // its own cluster + Map> clusterAssignment = + generateInitialAssignment(rows); + + LOGGER.info("Calculating initial inter-cluster similarity using " + + linkage); + // Generate the initial set of cluster pairings based on the highest + // similarity. This mapping will be update as the number of clusters + // are reduced, where merging a cluster will causes all the pairings + // pointing to it constinuents recalculated. + Map clusterSimilarities = + new HashMap(); + for (Integer clusterId : clusterAssignment.keySet()) { + clusterSimilarities.put(clusterId, + findMostSimilar(clusterAssignment, clusterId, + linkage, similarityMatrix)); + } + + LOGGER.info("Assigning clusters"); + + // Keep track of which ID is available for the new, merged cluster + int nextClusterId = rows; + + // While we still have more clusters than the maximum number loop. Note + // that if the maximum was set to negative, this condition will always + // be true and the inner loop check for inter-cluster similarity will + // break out of this loop + while (clusterAssignment.size() > maxNumberOfClusters) { + // Find a row that has yet to be clustered by searching for the pair + // that is most similar + int cluster1index = 0; + int cluster2index = 0; + double highestSimilarity = -1; + + // Find the row with the highest similarity to another + for (Map.Entry e : + clusterSimilarities.entrySet()) { + + Pairing p = e.getValue(); + Integer i = e.getKey(); + Integer j = p.pairedIndex; + if (p.similarity > highestSimilarity) { + cluster1index = i; + cluster2index = j; + highestSimilarity = p.similarity; + } + } + + // If the similarity of the two most similar clusters falls below + // the threshold, then the final set of clusters has been + // determined. + if (maxNumberOfClusters < 1 && + highestSimilarity < clusterSimilarityThreshold) + break; + + // Assign the merged cluster a new ID, which lets us track any + // pairings to the original clusters that may need to be + // recalculated + int newClusterId = nextClusterId++; + + Set cluster1 = clusterAssignment.get(cluster1index); + Set cluster2 = clusterAssignment.get(cluster2index); + + LOGGER.log(Level.FINE, "Merged cluster {0} with {1}", + new Object[] { cluster1, cluster2 }); + + // Update the cluster assignments, adding in the new cluster and + // remove all references to the two merged clusters. + cluster1.addAll(cluster2); + clusterAssignment.put(newClusterId, cluster1); + clusterAssignment.remove(cluster1index); + clusterAssignment.remove(cluster2index); + clusterSimilarities.remove(cluster1index); + clusterSimilarities.remove(cluster2index); + + // Local state variables to use while recalculating the similarities + double mostSimilarToMerged = -1; + Integer mostSimilarToMergedId = null; + + // Check whether we have just merged the last two clusters, in which + // case the similarity recalculation is unnecessary + if (clusterSimilarities.isEmpty()) + break; + + // Recalculate the inter-cluster similarity of a cluster that was + // paired with either of these two (i.e. was most similar to one of + // them before the merge). At the same time, calculate the + // most-similar to the newly merged cluster + for (Map.Entry e : + clusterSimilarities.entrySet()) { + + Integer clusterId = e.getKey(); + + // First, calculate the similarity between this cluster and the + // newly merged cluster + double simToNewCluster = + getSimilarity(similarityMatrix, cluster1, + clusterAssignment.get(clusterId), linkage); + if (simToNewCluster > mostSimilarToMerged) { + mostSimilarToMerged = simToNewCluster; + mostSimilarToMergedId = clusterId; + } + + // Second, if the pair was previously paired with one of the + // merged clusters, recompute what its most similar is + Pairing p = e.getValue(); + if (p.pairedIndex == cluster1index + || p.pairedIndex == cluster2index) { + // Reassign with the new most-similar + e.setValue(findMostSimilar(clusterAssignment, clusterId, + linkage, similarityMatrix)); + } + } + + // Update the new most similar to the newly-merged cluster + clusterSimilarities.put(newClusterId, + new Pairing(mostSimilarToMerged, + mostSimilarToMergedId)); + } + + return toAssignArray(clusterAssignment, rows); + } + + /** + * Builds a dendrogram of the rows of similarity matrix by iteratelyve + * linking each row according to the linkage policy in a bottom up manner. + * The dendrogram is represented as a series of merge steps for the rows of + * the similarity matrix, where each row is initially assigned to its own + * cluster. By following a sequence of merge operations, a particular + * partitioning of the rows of {@code m} can be determined. For example, to + * find the partitioning after 4 merge operations, one might do the + * following: + * + *
    +     *   Matrix matrix; 
+     *   List merges = buildDendogram(matrix, ...);
+     *   List fourMergeSteps = merges.subList(0, 4);
+     *   MultiMap clusterToRows =  new HashMultiMap();
+     *   for (int i = 0; i < matrix.rows(); ++i)
+     *       clusterToElements.put(i, i);
+     *
+     *   for (Merge m : fourMergeSteps) {
+     *       clusterToElements.putMulti(m.remainingCluster(), 
+     *           clusterToElements.remove(m.mergedCluster()));
+     *   }
+     *
    + * + * The resulting {@link edu.ucla.sspace.util.MultiMap} {@code clusterToRows} + * contains the mapping from each cluster to the rows that are a part of it. + * + * @param m a matrix whose rows are to be compared and agglomeratively + * merged into clusters + * @param linkage how two clusters should be compared for similarity when + * deciding which clusters to merge together + * @param similarityFunction how to compare two rows of a matrix for + * similarity + * + * @return a dendrogram corresponding to the merge steps for each cluster, + * where each row is initially assigned to its own cluster whose id + * is the same as its row's index + */ + public List buildDendogram( + Matrix m, ClusterLinkage linkage, SimType similarityFunction) { + + int rows = m.rows(); + LOGGER.finer("Generating similarity matrix for " + rows+ " data points"); + Matrix similarityMatrix = + computeSimilarityMatrix(m, similarityFunction); + return buildDendrogram(similarityMatrix, linkage); + } + + + /** + * Builds a dendrogram of the rows of similarity matrix by iteratively + * linking each row according to the linkage policy in a bottom up manner. + * The dendrogram is represented as a series of merge steps for the rows of + * the similarity matrix, where each row is initially assigned to its own + * cluster. + * + * @param similarityMatrix a square matrix whose (i, j) values denote the + * similarity of row i to row j. + * + * @return a dendrogram corresponding to the merge steps for each cluster, + * where each row is initially assigned to its own cluster whose id + * is the same as its row's index + * + * @throws IllegalArgumentException if {@code similarityMatrix} is not a + * square matrix + */ + public List buildDendrogram(Matrix similarityMatrix, + ClusterLinkage linkage) { + + if (similarityMatrix.rows() != similarityMatrix.columns()) + throw new IllegalArgumentException( + "Similarity matrix must be square"); + + if (!(similarityMatrix instanceof OnDiskMatrix)) { + LOGGER.fine("Similarity matrix supports fast multi-threaded " + + "access; switching to multi-threaded clustering"); + return buildDendogramMultithreaded(similarityMatrix, linkage); + } + + int rows = similarityMatrix.rows(); + + // Create the initial set of clusters where each row is originally in + // its own cluster + final Map> clusterAssignment = + generateInitialAssignment(rows); + + LOGGER.finer("Calculating initial inter-cluster similarity using " + + linkage); + // Generate the initial set of cluster pairings based on the highest + // similarity. This mapping will be update as the number of clusters + // are reduced, where merging a cluster will causes all the pairings + // pointing to it constinuents recalculated. + final Map clusterSimilarities = + new HashMap(); + + // For each cluster, find the most similar cluster + for (Integer clusterId : clusterAssignment.keySet()) { + clusterSimilarities.put(clusterId, + findMostSimilar(clusterAssignment, clusterId, + linkage, similarityMatrix)); + } + + LOGGER.finer("Assigning clusters"); + List merges = new ArrayList(rows - 1); + + // Perform rows-1 merges to merge all elements + for (int mergeIter = 0; mergeIter < rows - 1; ++mergeIter) { + LOGGER.finer("Computing dendogram merge" + + mergeIter + "/" + (rows-1)); + + // Find the two clusters that have the highest similarity + int cluster1index = 0; + int cluster2index = 0; + double highestSimilarity = -1; + + // For each cluster, look at the cluster with the highest + // similarity, and select the two with the global max + for (Map.Entry e : + clusterSimilarities.entrySet()) { + + Pairing p = e.getValue(); + Integer i = e.getKey(); + Integer j = p.pairedIndex; + if (p.similarity > highestSimilarity) { + cluster1index = i; + cluster2index = j; + highestSimilarity = p.similarity; + } + } + + // Order the indices so that the smaller index is first + if (cluster1index > cluster2index) { + int tmp = cluster2index; + cluster2index = cluster1index; + cluster1index = tmp; + } + + // Track that the two clusters will be merged. Always use the lower + // of the two values as the new cluster assignment. + Merge merge = + new Merge(cluster1index, cluster2index, highestSimilarity); + merges.add(merge); + + Set cluster1 = clusterAssignment.get(cluster1index); + Set cluster2 = clusterAssignment.get(cluster2index); + + LOGGER.log(Level.FINER, + "Merged cluster {0} with {1}, similarity {2}", + new Object[] { cluster1index, cluster2index, + highestSimilarity }); + + // Update the cluster assignments, adding in elements from the + // second cluster and remove all references to the second merged-in + // cluster. + cluster1.addAll(cluster2); + clusterAssignment.remove(cluster2index); + clusterSimilarities.remove(cluster2index); + + // When down to just one cluster, stop the iteration + if (clusterAssignment.size() == 1) + break; + + // Local state variables to use while recalculating the similarities + double mostSimilarToMerged = -1; + Integer mostSimilarToMergedId = null; + + // Recalculate the inter-cluster similarity of a cluster in two cases: + // + // 1) a cluster that paired with either of these two (i.e. was most + // similar to one of them before the merge). + // + // 2) the most similar cluster to the newly merged cluster + for (Map.Entry e : + clusterSimilarities.entrySet()) { + + Integer clusterId = e.getKey(); + + // Skip self comparisons for the merged clustering + if (clusterId == cluster1index) + continue; + + // First, calculate the similarity between this cluster and the + // newly merged cluster + double simToNewCluster = + getSimilarity(similarityMatrix, cluster1, + clusterAssignment.get(clusterId), linkage); + + // If this cluster is now the most similar to the newly-merged + // cluster update its mapping + if (simToNewCluster > mostSimilarToMerged) { + mostSimilarToMerged = simToNewCluster; + mostSimilarToMergedId = clusterId; + } + + // Second, if the pair was previously paired with one of the + // merged clusters, recompute what its most similar is + Pairing p = e.getValue(); + if (p.pairedIndex == cluster1index + || p.pairedIndex == cluster2index) { + // Reassign with the new most-similar + e.setValue(findMostSimilar(clusterAssignment, clusterId, + linkage, similarityMatrix)); + } + } + + // Update the new most similar to the newly-merged cluster + clusterSimilarities.put(cluster1index, + new Pairing(mostSimilarToMerged, + mostSimilarToMergedId)); + } + + return merges; + + } + + private List buildDendogramMultithreaded( + final Matrix similarityMatrix, final ClusterLinkage linkage) { + + int rows = similarityMatrix.rows(); + + // Create the initial set of clusters where each row is originally in + // its own cluster + final Map> clusterAssignment = + generateInitialAssignment(rows); + + LOGGER.finer("Calculating initial inter-cluster similarity using " + + linkage); + // Generate the initial set of cluster pairings based on the highest + // similarity. This mapping will be update as the number of clusters + // are reduced, where merging a cluster will causes all the pairings + // pointing to it constinuents recalculated. + final Map clusterSimilarities = + new ConcurrentHashMap(clusterAssignment.size()); + + // For each cluster, find the most similar cluster. Use the current + // thread as the task key so any other thread executing this method + // won't conflict. + Object taskKey = + WORK_QUEUE.registerTaskGroup(clusterAssignment.size()); + for (Integer clusterId : clusterAssignment.keySet()) { + final Integer clustId = clusterId; + WORK_QUEUE.add(taskKey, new Runnable() { + public void run() { + clusterSimilarities.put(clustId, + findMostSimilar(clusterAssignment, clustId, + linkage, similarityMatrix)); + } + }); + } + WORK_QUEUE.await(taskKey); + + LOGGER.finer("Assigning clusters"); + List merges = new ArrayList(rows - 1); + + + // Perform rows-1 merges to merge all elements + for (int mergeIter = 0; mergeIter < rows - 1; ++mergeIter) { + LOGGER.finer("Computing dendogram merge " + mergeIter); + System.out.println("Computing dendogram merge " + + mergeIter + "/" + (rows-1)); + + + // Find the two clusters that have the highest similarity + int cluster1index = 0; + int cluster2index = 0; + double highestSimilarity = -1; + + // For each cluster, look at the cluster with the highest + // similarity, and select the two with the global max + for (Map.Entry e : + clusterSimilarities.entrySet()) { + + Pairing p = e.getValue(); + Integer i = e.getKey(); + Integer j = p.pairedIndex; + if (p.similarity > highestSimilarity) { + cluster1index = i; + cluster2index = j; + highestSimilarity = p.similarity; + } + } + + // Order the indices so that the smaller index is first + if (cluster1index > cluster2index) { + int tmp = cluster2index; + cluster2index = cluster1index; + cluster1index = tmp; + } + + // Track that the two clusters will be merged. Always use the lower + // of the two values as the new cluster assignment. + Merge merge = + new Merge(cluster1index, cluster2index, highestSimilarity); + merges.add(merge); + + final Set cluster1 = clusterAssignment.get(cluster1index); + Set cluster2 = clusterAssignment.get(cluster2index); + + LOGGER.log(Level.FINER, + "Merged cluster {0} with {1}, similarity {2}", + new Object[] { cluster1index, cluster2index, + highestSimilarity }); + + // Update the cluster assignments, adding in elements from the + // second cluster and remove all references to the second merged-in + // cluster. + cluster1.addAll(cluster2); + clusterAssignment.remove(cluster2index); + clusterSimilarities.remove(cluster2index); + + // When down to just one cluster, stop the iteration + if (clusterAssignment.size() == 1) + break; + + // Recalculate the inter-cluster similarity of a cluster in two cases: + // + // 1) a cluster that paired with either of these two (i.e. was most + // similar to one of them before the merge). + // + // 2) the most similar cluster to the newly merged cluster + final ConcurrentNavigableMap mostSimilarMap + = new ConcurrentSkipListMap(); + // Use size()-1 as the number of tasks because we skip adding a task + // for computing the new cluster's similarity to itself + taskKey = + WORK_QUEUE.registerTaskGroup(clusterSimilarities.size() - 1); + + for (Map.Entry entry : + clusterSimilarities.entrySet()) { + + // Thread-local state variables + final Map.Entry e = entry; + final Integer clusterId = e.getKey(); + final Pairing p = e.getValue(); + final int c1index = cluster1index; + final int c2index = cluster2index; + + // Skip self comparisons for the merged clustering + if (clusterId == c1index) + continue; + + WORK_QUEUE.add(taskKey, new Runnable() { + public void run() { + // Task-local state variables to use while + // recalculating the similarities + double mostSimilarToMerged = -1; + Integer mostSimilarToMergedId = null; + + // First, calculate the similarity between this + // cluster and the newly merged cluster + double simToNewCluster = + getSimilarity(similarityMatrix, cluster1, + clusterAssignment.get(clusterId), + linkage); + + // If this cluster is now the most similar to + // the newly-merged cluster update its mapping + if (simToNewCluster > mostSimilarToMerged) { + mostSimilarToMerged = simToNewCluster; + mostSimilarToMergedId = clusterId; + } + + // Second, if the pair was previously paired with + // one of the merged clusters, recompute what its + // most similar is + if (p.pairedIndex == c1index + || p.pairedIndex == c2index) { + // Reassign with the new most-similar + e.setValue(findMostSimilar(clusterAssignment, + clusterId, linkage, similarityMatrix)); + } + + // Once all of the cluster for this thread has been + // processed, update the similarity map. + mostSimilarMap.put(mostSimilarToMerged, + mostSimilarToMergedId); + } + }); + } + + // Run each thread's comparisons + WORK_QUEUE.await(taskKey); + + // Collect the results from the similarity map. The highest + // similarity should be the largest key in the map, with the + // clustering as the value. Note that if there were ties in the + // highest similarity, the cluster is selected by the last thread, + // which is still arbitrarily fair. + Map.Entry highest = mostSimilarMap.lastEntry(); + + // Update the new most similar to the newly-merged cluster + clusterSimilarities.put(cluster1index, + new Pairing(highest.getKey(), + highest.getValue())); + } + + return merges; + } + + /* + // Recalculate the inter-cluster similarity of a cluster in two cases: + // + // 1) a cluster that paired with either of these two (i.e. was most + // similar to one of them before the merge). + // + // 2) the most similar cluster to the newly merged cluster + Collection similarityTasks = new ArrayList(); + + // Dump the map's entries into a list so we can partition them among + // different processing threads. Although it's a linear operation, + // this avoids two potential issues: (1) Having to create a new + // Runnable for each comparison, and (2) Having a large number of + // concurrent writes trying to update the most-similar value + // (high-write contention). + List> toPartition = + new ArrayList>( + clusterSimilarities.entrySet()); + + int numThreads = WORK_QUEUE.numThreads(); + int comparisonsPerThread = toPartition.size() / numThreads; + + final ConcurrentNavigableMap mostSimilarMap + = new ConcurrentSkipListMap(); + + final int c1index = cluster1index; + final int c2index = cluster2index; + + for (int th = 0; th < numThreads; ++th) { + int start = th * comparisonsPerThread; + int end = Math.min((th + 1) * comparisonsPerThread, + toPartition.size()); + final List> clustersToUpdate = + toPartition.subList(start, end); + + similarityTasks.add(new Runnable() { + public void run() { + + // Thread-local state variables to use while + // recalculating the similarities + double mostSimilarToMerged = -1; + Integer mostSimilarToMergedId = null; + + for (Map.Entry e : + clustersToUpdate) { + + Integer clusterId = e.getKey(); + Pairing p = e.getValue(); + + // Skip self comparisons for the merged + // clustering + if (clusterId == c1index) + continue; + + // First, calculate the similarity between this + // cluster and the newly merged cluster + double simToNewCluster = + getSimilarity(similarityMatrix, cluster1, + clusterAssignment.get(clusterId), + linkage); + + // If this cluster is now the most similar to + // the newly-merged cluster update its mapping + if (simToNewCluster > mostSimilarToMerged) { + mostSimilarToMerged = simToNewCluster; + mostSimilarToMergedId = clusterId; + } + + // Second, if the pair was previously paired with + // one of the merged clusters, recompute what its + // most similar is + if (p.pairedIndex == c1index + || p.pairedIndex == c2index) { + // Reassign with the new most-similar + e.setValue(findMostSimilar( + clusterAssignment, + clusterId, linkage, + similarityMatrix)); + } + } + + // Once all of the clusters for this thread have + // been processed, update the similarit map. We do + // this last to minimize the contention on the map + mostSimilarMap.put(mostSimilarToMerged, + mostSimilarToMergedId); + } + }); + } + + // Run each thread's comparisons + WORK_QUEUE.run(similarityTasks); + + // Collect the results from the similarity map. The highest + // similarity should be the largest key in the map, with the + // clustering as the value. Note that if there were ties in the + // highest similarity, the cluster is selected by the last thread, + // which is still arbitrarily fair. + Map.Entry highest = mostSimilarMap.lastEntry(); + + // Update the new most similar to the newly-merged cluster + clusterSimilarities.put(cluster1index, + new Pairing(highest.getKey(), + highest.getValue())); + } + + return merges; + } + + */ + + + /** + * For the current cluster, finds the most similar cluster using the + * provided linkage method and returns the pairing for it. + */ + private static Pairing findMostSimilar( + Map> curAssignment, int curCluster, + ClusterLinkage linkage, Matrix similarityMatrix) { + // Start with with the most similar being set to the newly merged + // cluster, as this value has already been computed + double mostSimilar = -1; + Integer paired = -1; + for (Map.Entry> otherIdAndCluster + : curAssignment.entrySet()) { + Integer otherId = otherIdAndCluster.getKey(); + if (otherId.equals(curCluster)) + continue; + double similarity = getSimilarity( + similarityMatrix, curAssignment.get(curCluster), + otherIdAndCluster.getValue(), linkage); + if (similarity > mostSimilar) { + mostSimilar = similarity; + paired = otherId; + } + } + return new Pairing(mostSimilar, paired); + } + + /** + * Returns the final mapping of data points as an array where each row is + * assigned to a single cluster value from 0 to n

    Jones, M. N., + * Mewhort, D. J.L. (2007). Representing Word Meaning and Order Information + * in a Composite Holographic Lexicon. Psychological Review + * 114, 1-37. Available here

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    , the number of + * clusters. + * + * @param assignment a mapping from cluster number to the data points (rows) + * that are contained in it + * @param p the number of initial data points + * + * @return the cluster assignment + */ + private static int[] toAssignArray(Map> assignment, + int numDataPoints) { + int[] clusters = new int[numDataPoints]; + for (int i = 0; i < numDataPoints; ++i) + clusters[i] = -1; + int clusterIndex = 0; + for (Set cluster : assignment.values()) { + // Decide whether this cluster has already been assigned by picking + // out the first element in the cluster and seeing if it has the + // dummy cluster value (-1) + int r = cluster.iterator().next(); + if (clusters[r] != -1) + continue; + // Otherwise the row this cluster needs to be assigned a cluster + // index + for (int row : cluster) + clusters[row] = clusterIndex; + // Increment the cluster index for the next cluster + clusterIndex++; + } + LOGGER.info("total number of clusters: " + clusterIndex); + return clusters; + } + + /** + * Coverts an array containing each row's clustering assignment into an + * array of {@link HardAssignment} instances. + */ + private static Assignment[] toAssignments(int[] rowAssignments) { + Assignment[] assignments = new Assignment[rowAssignments.length]; + for (int i = 0; i < rowAssignments.length; ++i) + assignments[i] = new HardAssignment(rowAssignments[i]); + return assignments; + } + + /** + * + * @param numDataPoints the number of initial data points + */ + private static Map> generateInitialAssignment( + int numDataPoints) { + Map> clusterAssignment = + new HashMap>(numDataPoints); + for (int i = 0; i < numDataPoints; ++i) { + HashSet cluster= new HashSet(); + cluster.add(i); + clusterAssignment.put(i, cluster); + } + return clusterAssignment; + } + + /** + * Computes and returns the similarity matrix for {@code m} using the + * specified similarity function + */ + private static Matrix computeSimilarityMatrix(Matrix m, + SimType similarityFunction) { + Matrix similarityMatrix = + Matrices.create(m.rows(), m.rows(), Matrix.Type.DENSE_ON_DISK); + for (int i = 0; i < m.rows(); ++i) { + for (int j = i + 1; j < m.rows(); ++j) { + double similarity = + Similarity.getSimilarity(similarityFunction, + m.getRowVector(i), + m.getRowVector(j)); + similarityMatrix.set(i, j, similarity); + similarityMatrix.set(j, i, similarity); + } + } + return similarityMatrix; + } + + /** + * Returns the similarity of two clusters according the specified linkage + * function. + * + * @param similarityMatrix a matrix containing pair-wise similarity of each + * data point in the entire set + * @param cluster the first cluster to be considered + * @param toAdd the second cluster to be considered + * @param linkage the method by which the similarity of the two clusters + * should be computed + * + * @return the similarity of the two clusters + */ + private static double getSimilarity(Matrix similarityMatrix, + Set cluster, + Set toAdd, + ClusterLinkage linkage) { + double similarity = -1; + switch (linkage) { + case SINGLE_LINKAGE: { + double highestSimilarity = -1; + for (int i : cluster) { + for (int j : toAdd) { + double s = similarityMatrix.get(i, j); + if (s > highestSimilarity) + highestSimilarity = s; + } + } + similarity = highestSimilarity; + break; + } + + case COMPLETE_LINKAGE: { + double lowestSimilarity = 1; + for (int i : cluster) { + for (int j : toAdd) { + double s = similarityMatrix.get(i, j); + if (s < lowestSimilarity) + lowestSimilarity = s; + } + } + similarity = lowestSimilarity; + break; + } + + case MEAN_LINKAGE: { + double similaritySum = 0; + for (int i : cluster) { + for (int j : toAdd) { + similaritySum += similarityMatrix.get(i, j); + } + } + similarity = similaritySum / (cluster.size() * toAdd.size()); + break; + } + + case MEDIAN_LINKAGE: { + double[] similarities = new double[cluster.size() * toAdd.size()]; + int index = 0; + for (int i : cluster) { + for (int j : toAdd) { + similarities[index++] = similarityMatrix.get(i, j); + } + } + Arrays.sort(similarities); + similarity = similarities[similarities.length / 2]; + break; + } + + default: + assert false : "unknown linkage method"; + } + return similarity; + } + + /** + * A utility structure for holding the assignment of a cluster to another + * cluster by means of a high similarity. + */ + private static class Pairing implements Comparable { + + /** + * The similarity of the other cluster to the cluster indicated by + * {@code pairedIndex} + */ + public final double similarity; + + /** + * The index of the cluster that is paired + */ + public final int pairedIndex; + + public Pairing(double similarity, int pairedIndex) { + this.similarity = similarity; + this.pairedIndex = pairedIndex; + } + + public int compareTo(Pairing p) { + return (int)((p.similarity - similarity) * Integer.MAX_VALUE); + } + + public boolean equals(Object o) { + return (o instanceof Pairing) + && ((Pairing)o).pairedIndex == pairedIndex; + } + + public int hashCode() { + return pairedIndex; + } + } +} diff --git a/src/edu/ucla/sspace/clustering/LinkClustering.java b/src/edu/ucla/sspace/clustering/LinkClustering.java new file mode 100755 index 00000000..9e877b07 --- /dev/null +++ b/src/edu/ucla/sspace/clustering/LinkClustering.java @@ -0,0 +1,689 @@ +/* + * Copyright 2011 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.common.Similarity; + +import edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering.ClusterLinkage; + +import edu.ucla.sspace.matrix.AbstractMatrix; +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.SparseHashMatrix; +import edu.ucla.sspace.matrix.SparseMatrix; +import edu.ucla.sspace.matrix.SparseSymmetricMatrix; +import edu.ucla.sspace.matrix.YaleSparseMatrix; + +import edu.ucla.sspace.util.HashMultiMap; +import edu.ucla.sspace.util.MultiMap; +import edu.ucla.sspace.util.WorkQueue; + +import edu.ucla.sspace.vector.DenseVector; +import edu.ucla.sspace.vector.DoubleVector; +import edu.ucla.sspace.vector.SparseDoubleVector; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.BitSet; +import java.util.Collection; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedHashSet; +import java.util.LinkedList; +import java.util.List; +import java.util.Map; +import java.util.Properties; +import java.util.Set; + +import java.util.concurrent.ConcurrentNavigableMap; +import java.util.concurrent.ConcurrentSkipListMap; + +import java.util.logging.Level; +import java.util.logging.Logger; + +/** + * An implmentation of the link clustering described in Ahn, Bagrow, and Lehman + * (2010). This algorithm is a multi-class clustering algorithm that instead of + * clustering the nodes in a graph according to their similarity with eacher, + * clusters the links connecting the nodes to reveal communities that + * connect the nodes. For full information on the algorithm see,
      + * + *
    • Yong-Yeol Ahn, James P. Bagrow and Sune Lehmann. Link communities + * reveal multiscale complexity in networks. Nature 466, 761–764 (05 August + * 2010). Available online here. + * + *
    + * + * This algorithm automatically determines the number of clusters based on a + * partition density function. Accordingly, the clustering methods take no + * parameters. Calling the {@code cluster} method with a fixed number of + * elements will still cluster the rows, but will ignore the requester number of + * clusters. + * + *

    Note that this class is not thread-safe. Each call to clustering + * will cache local information about the clustering result to facilitate the + * {@link #getSolution(int)} and {@link #getSolutionDensity(int)} functions. + * + * This class provides one configurable property: + * + *

    + *
    Property: {@value #KEEP_SIMILARITY_MATRIX_IN_MEMORY_PROPERTY} + *
    + * Default: {@code true} + * + *
    If {@code true}, this property specifies the + * edge similarity matrix used by {@link + * HierarchicalAgglomerativeClustering} should be computed once and then + * kept in memory, which is the default behavior. If {@code false}, this + * causes the similarity of two edges to be recomputed on-the-fly whenever + * it is requester. By computing these values on-the-fly, the performance + * will be slowed down, depending on the complexity of the edge similarity + * function. However, this on-the-fly setting allows for clustering large + * graphs whose edge similarity matrix would not regularly fit into memory. + * It is advised that users not tune this parameter unless it is known that + * the similarity matrix will not fit in memory.

    + * + *
    + * + * @author David Jurgens + */ +public class LinkClustering implements Clustering, java.io.Serializable { + + private static final long serialVersionUID = 1L; + + /** + * A prefix for specifying properties. + */ + public static final String PROPERTY_PREFIX = + "edu.ucla.sspace.clustering.LinkClustering"; + + /** + * The property to specify if the edge similarity matrix should be kept in + * memory during clustering, or if its values should be computed on the fly. + */ + public static final String KEEP_SIMILARITY_MATRIX_IN_MEMORY_PROPERTY = + PROPERTY_PREFIX + ".keepSimilarityMatrixInMemory"; + + /** + * The logger to which clustering status updates will be written. + */ + private static final Logger LOGGER = + Logger.getLogger(LinkClustering.class.getName()); + + /** + * The work used by all {@code LinkClustering} instances to perform + * multi-threaded operations. + */ + private static final WorkQueue WORK_QUEUE = new WorkQueue(); + + /** + * The merges for the prior run of this clustering algorithm + */ + private List mergeOrder; + + /** + * The list of edges that were last merged. This list is maintained in the + * same order as the initial cluster ordering. + */ + private List edgeList; + + /** + * The number of rows in the input matrix that was last clustered. + */ + private int numRows; + + /** + * Instantiates a new {@code LinkClustering} instance. + */ + public LinkClustering() { + mergeOrder = null; + edgeList = null; + numRows = 0; + } + + /** + * Ignores the specified number of clusters and returns the + * clustering solution according to the partition density. + * + * @param numClusters this parameter is ignored. + * + * @throws IllegalArgumentException if {@code matrix} is not square, or is + * not an instance of {@link SparseMatrix} + */ + public Assignment[] cluster(Matrix matrix, int numClusters, Properties props) { + LOGGER.warning("Link clustering does not take a specified number of " + + "clusters. Clustering the matrix anyway."); + return cluster(matrix, props); + } + + /** + * {@inheritDoc} + * + * @throws IllegalArgumentException if {@code matrix} is not square, or is + * not an instance of {@link SparseMatrix} + */ + public Assignment[] cluster(Matrix matrix, Properties props) { + if (matrix.rows() != matrix.columns()) + throw new IllegalArgumentException("Input matrix is not square. " + + "Matrix is expected to be a square matrix whose values (i,j) " + + "denote an edge from row i to row j"); + if (!(matrix instanceof SparseMatrix)) { + throw new IllegalArgumentException("Input matrix must be a " + + "sparse matrix."); + } + SparseMatrix sm = (SparseMatrix)matrix; + + String inMemProp = + props.getProperty(KEEP_SIMILARITY_MATRIX_IN_MEMORY_PROPERTY); + boolean keepSimMatrixInMem = (inMemProp != null) + ? Boolean.parseBoolean(inMemProp) : true; + + // IMPLEMENTATION NOTE: Ahn et al. used single-linkage HAC, which can be + // efficiently implemented in O(n^2) time as a special case of HAC. + // However, we currently don't optimize for this special case and + // instead use our HAC class. Because of the complexity of the edge + // similarity function, we build our own similarity matrix and then pass + // it in, rather than passing in the edge matrix directly. + + final int rows = sm.rows(); + numRows = rows; + LOGGER.fine("Generating link similarity matrix for " + rows + " nodes"); + + // Rather than create an O(row^3) matrix for representing the edges, + // compress the edge matrix by getting a mapping for each edge to a row + // in the new matrix. + final List edgeList = new ArrayList(); + this.edgeList = edgeList; + + for (int r = 0; r < rows; ++r) { + SparseDoubleVector row = sm.getRowVector(r); + int[] edges = row.getNonZeroIndices(); + for (int col : edges) { + // Always add edges from the upper triangular + if (r > col) + edgeList.add(new Edge(r, col)); + // Otherwise, we only add the edge from the lower triangular if + // it wasn't present in the upper. This avoids counting + // duplicate edges. + else if (r < col && sm.get(col, r) == 0) + edgeList.add(new Edge(r, col)); + } + } + + final int numEdges = edgeList.size(); + LOGGER.fine("Number of edges to cluster: " + numEdges); + + Matrix edgeSimMatrix = + getEdgeSimMatrix(edgeList, sm, keepSimMatrixInMem); + + LOGGER.fine("Computing single linkage link clustering"); + + final List mergeOrder = + new HierarchicalAgglomerativeClustering(). + buildDendrogram(edgeSimMatrix, ClusterLinkage.SINGLE_LINKAGE); + this.mergeOrder = mergeOrder; + + LOGGER.fine("Calculating partition densitities"); + + // Set up a concurrent map that each thread will update once it has + // calculated the densitites of each of its partitions. This map is + // only written to once per thread. + final ConcurrentNavigableMap partitionDensities + = new ConcurrentSkipListMap(); + + // Register a task group for calculating all of the partition + // densitities + Object key = WORK_QUEUE.registerTaskGroup(mergeOrder.size()); + for (int p = 0; p < mergeOrder.size(); ++p) { + final int part = p; + WORK_QUEUE.add(key, new Runnable() { + public void run() { + // Get the merges for this particular partitioning of + // the links + List mergeSteps = mergeOrder.subList(0, part); + + // Convert the merges to a specific cluster labeling + MultiMap clusterToElements = + convertMergesToAssignments(mergeSteps, numEdges); + + // Based on the link partitioning, calculate the + // partition density for each cluster + double partitionDensitySum = 0d; + for (Integer cluster : clusterToElements.keySet()) { + Set linkPartition = + clusterToElements.get(cluster); + int numLinks = linkPartition.size(); + BitSet nodesInPartition = new BitSet(rows); + for (Integer linkIndex : linkPartition) { + Edge link = edgeList.get(linkIndex); + nodesInPartition.set(link.from); + nodesInPartition.set(link.to); + } + int numNodes = nodesInPartition.cardinality(); + // This reflects the density of this particular + // cluster + double partitionDensity = + (numLinks - (numNodes - 1d)) + / (((numNodes * (numNodes - 1d)) / 2d) + - (numLinks - 1)); + partitionDensitySum += partitionDensity; + } + // Compute the density for the total partitioning + // solution + double partitionDensity = + (2d / numEdges) * partitionDensitySum; + LOGGER.log(Level.FINER, "Partition solution {0} had " + + "density {1}", + new Object[] { part, partitionDensity }); + + // Update the thread-shared partition density map with + // this task's calculation + partitionDensities.put(partitionDensity, part); + + } + }); + } + + // Wait for all the partition densities to be calculated + WORK_QUEUE.await(key); + + + Map.Entry densest = partitionDensities.lastEntry(); + LOGGER.fine("Partition " + densest.getValue() + + " had the highest density: " + densest.getKey()); + int partitionWithMaxDensity = densest.getValue(); + + // Select the solution with the highest partition density and assign + // nodes accordingly + MultiMap bestEdgeAssignment = + convertMergesToAssignments( + mergeOrder.subList(0, partitionWithMaxDensity), numEdges); + + List> nodeClusters = new ArrayList>(rows); + for (int i = 0; i < rows; ++i) + nodeClusters.add(new HashSet()); + + // Ignore the original partition labeling, and use our own cluster + // labeling to ensure that the IDs are contiguous. + int clusterId = 0; + + // For each of the partitions, add the partion's cluster ID to all the + // nodes that are connected by one of the partition's edges + for (Integer cluster : bestEdgeAssignment.keySet()) { + Set edgePartition = bestEdgeAssignment.get(cluster); + for (Integer edgeId : edgePartition) { + Edge e = edgeList.get(edgeId); + nodeClusters.get(e.from).add(clusterId); + nodeClusters.get(e.to).add(clusterId); + } + // Update the cluster id + clusterId++; + } + + Assignment[] nodeAssignments = new Assignment[rows]; + for (int i = 0; i < nodeAssignments.length; ++i) { + nodeAssignments[i] = + new SoftAssignment(nodeClusters.get(i)); + } + return nodeAssignments; + } + + /** + * Returns the edge similarity matrix for the edges in the provided sparse + * matrix. + */ + private Matrix getEdgeSimMatrix(List edgeList, SparseMatrix sm, + boolean keepSimilarityMatrixInMemory) { + return (keepSimilarityMatrixInMemory) + ? calculateEdgeSimMatrix(edgeList, sm) + : new LazySimilarityMatrix(edgeList, sm); + } + + /** + * Calculates the similarity matrix for the edges. The similarity matrix is + * symmetric. + * + * @param edgeList the list of all edges known to the system + * @param sm a square matrix whose values denote edges between the rows. + * + * @return the similarity matrix + */ + private Matrix calculateEdgeSimMatrix( + final List edgeList, final SparseMatrix sm) { + + final int numEdges = edgeList.size(); + final Matrix edgeSimMatrix = + new SparseSymmetricMatrix( + new SparseHashMatrix(numEdges, numEdges)); + + Object key = WORK_QUEUE.registerTaskGroup(numEdges); + for (int i = 0; i < numEdges; ++i) { + final int row = i; + WORK_QUEUE.add(key, new Runnable() { + public void run() { + for (int j = row; j < numEdges; ++j) { + Edge e1 = edgeList.get(row); + Edge e2 = edgeList.get(j); + + double sim = getEdgeSimilarity(sm, e1, e2); + + if (sim > 0) { + // The symmetric matrix handles the (j,i) case + edgeSimMatrix.set(row, j, sim); + } + } + } + }); + } + WORK_QUEUE.await(key); + return edgeSimMatrix; + } + + /** + * Converts a series of merges to cluster assignments. Cluster assignments + * are assumed to start at 0. + * + * @param merges the merge steps, in order + * @param numOriginalClusters how many clusters are present prior to + * merging. This is typically the number of rows in the matrix being + * clustered + * + * @returns a mapping from a cluster to all the elements contained within it. + */ + private static MultiMap convertMergesToAssignments( + List merges, int numOriginalClusters) { + + MultiMap clusterToElements = + new HashMultiMap(); + for (int i = 0; i < numOriginalClusters; ++i) + clusterToElements.put(i, i); + + for (Merge m : merges) { + clusterToElements.putMulti(m.remainingCluster(), + clusterToElements.remove(m.mergedCluster())); + } + + return clusterToElements; + } + + /** + * Computes the similarity of the two edges as the Jaccard index of the + * neighbors of two impost nodes. The impost nodes are the two nodes the + * edges do not have in common. Subclasses may override this method to + * define a new method for computing edge similarity. + * + *

    Implementation Note: Subclasses that wish to override this + * behavior should be aware that this method is likely to be called by + * multiple threads and therefor should make provisions to be thread safe. + * In addition, this method may be called more than once per edge pair if + * the similarity matrix is being computed on-the-fly. + * + * @param sm a matrix containing the connections between edges. A non-zero + * value in location (i,j) indicates a node i is connected to + * node j by an edge. + * @param e1 an edge to be compared with {@code e2} + * @param e2 an edge to be compared with {@code e1} + * + * @return the similarity of the edges.a + */ + protected double getEdgeSimilarity(SparseMatrix sm, Edge e1, Edge e2) { + // Determing the keystone (shared) node by the edges and the other two + // impost (unshared) nodes. + int keystone = -1; + int impost1 = -1; + int impost2 = -1; + if (e1.from == e2.from) { + keystone = e1.from; + impost1 = e1.to; + impost2 = e2.to; + } + else if (e1.from == e2.to) { + keystone = e1.from; + impost1 = e1.to; + impost2 = e2.from; + } + else if (e2.to == e1.from) { + keystone = e1.from; + impost1 = e1.to; + impost2 = e2.from; + } + else if (e1.to == e2.to) { + keystone = e1.to; + impost1 = e1.from; + impost2 = e2.from; + } + else + return 0d; + + // Determine the overlap between the neighbors of the impost nodes + int[] impost1edges = getImpostNeighbors(sm, impost1); + int[] impost2edges = getImpostNeighbors(sm, impost2); + double similarity = Similarity.jaccardIndex(impost1edges, impost2edges); + return similarity; + } + + /** + * Returns an array containing the row indices of the neighbors of the + * impost node and the row index of the impost node itself. + */ + private static int[] getImpostNeighbors(SparseMatrix sm, int rowIndex) { + int[] impost1edges = sm.getRowVector(rowIndex).getNonZeroIndices(); + int[] neighbors = Arrays.copyOf(impost1edges, impost1edges.length + 1); + neighbors[neighbors.length - 1] = rowIndex; + return neighbors; + } + + /** + * Returns the partition density of the clustering solution. + */ + public double getSolutionDensity(int solutionNum) { + if (solutionNum < 0 || solutionNum >= mergeOrder.size()) { + throw new IllegalArgumentException( + "not a valid solution: " + solutionNum); + } + if (mergeOrder == null || edgeList == null) { + throw new IllegalStateException( + "initial clustering solution is not valid yet"); + } + + int numEdges = edgeList.size(); + + // Get the merges for this particular partitioning of the links + List mergeSteps = + mergeOrder.subList(0, solutionNum); + + // Convert the merges to a specific cluster labeling + MultiMap clusterToElements = + convertMergesToAssignments(mergeSteps, numEdges); + + // Based on the link partitioning, calculate the node partition density + double partitionDensitySum = 0d; + for (Integer cluster : clusterToElements.keySet()) { + Set linkPartition = clusterToElements.get(cluster); + int numLinks = linkPartition.size(); + BitSet nodesInPartition = new BitSet(numRows); + for (Integer linkIndex : linkPartition) { + Edge link = edgeList.get(linkIndex); + nodesInPartition.set(link.from); + nodesInPartition.set(link.to); + } + int numNodes = nodesInPartition.cardinality(); + // This reflects the density of this particular cluster within the + // total partitioning + double partitionDensity = (numLinks - (numNodes - 1d)) + / (((numNodes * (numNodes - 1d)) / 2d) - (numLinks - 1)); + partitionDensitySum += partitionDensity; + } + // Compute the density for the total partitioning solution + double partitionDensity = (2d / numEdges) * partitionDensitySum; + return partitionDensity; + } + + /** + * Returns the clustering solution after the specified number of merge + * steps. + * + * @param solutionNum the number of merge steps to take prior to returning + * the clustering solution. + * + * @throws IllegalArgumentException if {@code solutionNum} is less than 0 or + * is greater than or equal to {@link #numberOfSolutions()}. + * @throws IllegalStateException if this instance has not yet finished a + * clustering solution. + */ + public Assignment[] getSolution(int solutionNum) { + if (solutionNum < 0 || solutionNum >= mergeOrder.size()) { + throw new IllegalArgumentException( + "not a valid solution: " + solutionNum); + } + if (mergeOrder == null || edgeList == null) { + throw new IllegalStateException( + "initial clustering solution is not valid yet"); + } + + int numEdges = edgeList.size(); + + // Select the solution and all merges necessary to solve it + MultiMap bestEdgeAssignment = + convertMergesToAssignments( + mergeOrder.subList(0, solutionNum), numEdges); + + List> nodeClusters = new ArrayList>(numRows); + for (int i = 0; i < numRows; ++i) + nodeClusters.add(new HashSet()); + + // Ignore the original partition labeling, and use our own cluster + // labeling to ensure that the IDs are contiguous. + int clusterId = 0; + + // For each of the partitions, add the partion's cluster ID to all the + // nodes that are connected by one of the partition's edges + for (Integer cluster : bestEdgeAssignment.keySet()) { + Set edgePartition = bestEdgeAssignment.get(cluster); + for (Integer edgeId : edgePartition) { + Edge e = edgeList.get(edgeId); + nodeClusters.get(e.from).add(clusterId); + nodeClusters.get(e.to).add(clusterId); + } + // Update the cluster id + clusterId++; + } + + Assignment[] nodeAssignments = new Assignment[numRows]; + for (int i = 0; i < nodeAssignments.length; ++i) { + nodeAssignments[i] = + new SoftAssignment(nodeClusters.get(i)); + } + return nodeAssignments; + } + + /** + * Returns the number of clustering solutions found by this instances for + * the prior clustering run. + * + * @returns the number of solutions, or {@code 0} if no solutions are + * available. + */ + public int numberOfSolutions() { + return (mergeOrder == null) ? 0 : mergeOrder.size(); + } + + /** + * A utility data structure for representing a directed edge between two + * ordinally labeled nodes. + */ + protected static class Edge { + + public final int from; + + public final int to; + + public Edge(int from, int to) { + this.from = from; + this.to = to; + } + + public boolean equals(Object o) { + if (o instanceof Edge) { + Edge e = (Edge)o; + return e.from == from && e.to == to; + } + return false; + } + + public int hashCode() { + return from ^ to; + } + + public String toString() { + return "(" + from + "->" + to + ")"; + } + } + + /** + * A utility class that represents the edge similarity matrix, where the + * similarity values are lazily computed on demand, rather than stored + * internally. While computationally more expensive, this class provides an + * enormous benefit for clustering a graph where the similarity matrix + * cannot fit into memory. + */ + private class LazySimilarityMatrix extends AbstractMatrix { + + private final List edgeList; + + private final SparseMatrix sm; + + public LazySimilarityMatrix(List edgeList, SparseMatrix sm) { + this.edgeList = edgeList; + this.sm = sm; + } + + public int columns() { + return edgeList.size(); + } + + public double get(int row, int column) { + Edge e1 = edgeList.get(row); + Edge e2 = edgeList.get(column); + + double sim = getEdgeSimilarity(sm, e1, e2); + return sim; + } + + public DoubleVector getRowVector(int row) { + int cols = columns(); + DoubleVector vec = new DenseVector(cols); + for (int c = 0; c < cols; ++c) { + vec.set(c, get(row, c)); + } + return vec; + } + + public int rows() { + return edgeList.size(); + } + + public void set(int row, int columns, double val) { + throw new UnsupportedOperationException(); + } + } +} \ No newline at end of file diff --git a/src/edu/ucla/sspace/clustering/Merge.java b/src/edu/ucla/sspace/clustering/Merge.java new file mode 100644 index 00000000..fd33efd2 --- /dev/null +++ b/src/edu/ucla/sspace/clustering/Merge.java @@ -0,0 +1,92 @@ +/* + * Copyright 2010 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +// javadoc includes +import edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering.ClusterLinkage; +import edu.ucla.sspace.common.Similarity.SimType; + +/** + * A status object that represents the result of agglomeratively merging two + * clusters. This class provides the information on which clusters were merged, + * what the id of the remaining cluster is, and the similarity of the two + * clusters at the point at which they were merged. + * + * @see HierarchicalAgglomerativeClustering#buildDendogram(Matrix,edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering.ClusterLinkage,edu.ucla.sspace.common.Similarity.SimType) + */ +public class Merge implements java.io.Serializable { + + private static final long serialVersionUID = 1L; + + private final int remainingCluster; + + private final int mergedCluster; + + private final double similarity; + + public Merge(int remainingCluster, int mergedCluster, double similarity) { + this.remainingCluster = remainingCluster; + this.mergedCluster = mergedCluster; + this.similarity = similarity; + } + + public boolean equals(Object o) { + if (o instanceof Merge) { + Merge m = (Merge)o; + return m.remainingCluster == remainingCluster + && m.mergedCluster == mergedCluster + && m.similarity == similarity; + } + return false; + } + + public int hashCode() { + return remainingCluster ^ mergedCluster; + } + + /** + * Returns the ID of the cluster that was merged into another cluster. + */ + public int mergedCluster() { + return mergedCluster; + } + + /** + * Returns the ID of the clusters into which another cluster was merged, + * i.e. all the data points in the merged cluster would now have this ID. + */ + public int remainingCluster() { + return remainingCluster; + } + + /** + * Returns the similarity of the two clusters at the time of their merging. + */ + public double similarity() { + return similarity; + } + + public String toString() { + return "(" + mergedCluster + " -> " + remainingCluster + ": " + + similarity + ")"; + } +} diff --git a/src/edu/ucla/sspace/clustering/SoftAssignment.java b/src/edu/ucla/sspace/clustering/SoftAssignment.java new file mode 100644 index 00000000..0ef0d8df --- /dev/null +++ b/src/edu/ucla/sspace/clustering/SoftAssignment.java @@ -0,0 +1,66 @@ +/* + * Copyright 2011 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import java.util.Collection; +import java.util.Iterator; + + +/** + * An implementation of a {@link Assignment} where a data point may be assigned + * to multiple clusters + */ +public class SoftAssignment implements Assignment { + + /** + * The array holding the single assignment. + */ + private final int[] assignments; + + /** + * Creates a new {@link SoftAssignment} where the data point is assigned to + * the specified clusters. + */ + public SoftAssignment(Collection clusterIds) { + assignments = new int[clusterIds.size()]; + Iterator it = clusterIds.iterator(); + for (int i = 0; i < assignments.length; ++i) + assignments[i] = it.next(); + } + + /** + * Creates a new {@link SoftAssignment} where the data point is assigned to + * the specified clusters. + */ + public SoftAssignment(Integer... clusterIds) { + assignments = new int[clusterIds.length]; + for (int i = 0; i < clusterIds.length; ++i) + assignments[i] = clusterIds[i]; + } + + /** + * {@inheritDoc} + */ + public int[] assignments() { + return assignments; + } +} diff --git a/src/edu/ucla/sspace/clustering/SpectralClustering.java b/src/edu/ucla/sspace/clustering/SpectralClustering.java new file mode 100644 index 00000000..91cfb3cd --- /dev/null +++ b/src/edu/ucla/sspace/clustering/SpectralClustering.java @@ -0,0 +1,520 @@ +/* + * Copyright 2009 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.clustering; + +import edu.ucla.sspace.common.Similarity; +import edu.ucla.sspace.common.Statistics; + +import edu.ucla.sspace.index.DoubleVectorGenerator; +import edu.ucla.sspace.index.RandomOrthogonalVectorGenerator; + +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.Matrix.Type; +import edu.ucla.sspace.matrix.MatrixIO; +import edu.ucla.sspace.matrix.MatrixIO.Format; +import edu.ucla.sspace.matrix.RowMaskedMatrix; +import edu.ucla.sspace.matrix.SparseRowMaskedMatrix; +import edu.ucla.sspace.matrix.SparseMatrix; + +import edu.ucla.sspace.util.Pair; + +import edu.ucla.sspace.vector.DenseVector; +import edu.ucla.sspace.vector.DoubleVector; +import edu.ucla.sspace.vector.SparseDoubleVector; +import edu.ucla.sspace.vector.Vectors; +import edu.ucla.sspace.vector.VectorMath; +import edu.ucla.sspace.vector.VectorIO; + +import java.io.File; + +import java.util.Arrays; +import java.util.ArrayList; +import java.util.Collection; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedHashSet; +import java.util.Map; +import java.util.Properties; +import java.util.Set; + +import java.util.logging.Logger; + + +/** + * Implementation of Spectral Clustering using divide and merge methodology. + * The implementation is based on two papers: + * + *

      + *
    • Cheng, D., Kannan, R., + * Vempala, S., Wang, G. (2006). A Divide-and-Merge Methodology for + * Clustering. ACM Transactions on Database Systsms, 31, + * 1499-1525. Available here + *
      • + * + *
    • Kannan, R., Vempala, S., + * Vetta, A. (2000). On clustering: Good, bad, and spectral. + * FOCS '00: Proceedings of the 41st Annual Symposium on Foundations of + * Computer Science Available here + *
      • + *
    + * + * @author Keith Stevens + */ +public class SpectralClustering implements Clustering { + + public static final String PROPERTY_PREFIX = + "edu.ucla.sspace.clustering.SpectralClustering"; + + public static final String ALPHA_PROPERTY = + PROPERTY_PREFIX + ".alpha"; + + /** + * The logger used to record all output. + */ + private static final Logger LOGGER = + Logger.getLogger(SpectralClustering.class.getName()); + + /** + * The default intra cluster similarity weight. + */ + private static final Double DEFAULT_ALPHA = .4; + + public Assignment[] cluster(Matrix matrix, Properties props) { + return cluster(matrix, Integer.MAX_VALUE, props); + } + + public Assignment[] cluster(Matrix matrix, + int maxClusters, + Properties props) { + String alphaProp = props.getProperty(ALPHA_PROPERTY); + double alpha = (alphaProp == null) + ? DEFAULT_ALPHA + : Double.parseDouble(alphaProp); + + double beta = 1 - alpha; + + // Cluster the matrix recursively. + ClusterResult r = realCluster(matrix, alpha, beta, maxClusters, 0); + verbose("Created " + r.numClusters + " clusters"); + Assignment[] assignments = new HardAssignment[r.assignments.length]; + for (int i = 0; i < r.assignments.length; ++i) + assignments[i] = new HardAssignment(r.assignments[i]); + + return assignments; + } + + private ClusterResult realCluster(Matrix matrix, + double alpha, + double beta, + int maxClusters, + int depth) { + verbose("Clustering at depth " + depth); + + // If the matrix has only one element or the depth is equal to the + // maximum number of desired clusters then all items are in a single + // cluster. + if (matrix.rows() == 1 || depth == maxClusters) + return new ClusterResult(new int[matrix.rows()], 1); + + int vectorLength = matrix.rows(); + DoubleVector matrixRowSums = computeMatrixRowSum(matrix); + double magnitude = 0; + for (int i = 0; i < matrixRowSums.length(); ++i) + magnitude += Math.pow(matrixRowSums.get(i), 2); + magnitude = Math.sqrt(magnitude); + + // Compute p. + DoubleVector p = new DenseVector(vectorLength); + double pSum = 0; + for (int r = 0; r < matrix.rows(); ++r) { + double dot = cosineSimilarity( + matrixRowSums, magnitude, matrix.getRowVector(r)); + pSum += dot; + p.set(r, dot); + } + + // Compute pi, and D. + DoubleVector pi = new DenseVector(vectorLength); + DoubleVector D = new DenseVector(vectorLength); + DoubleVector piDInverse = new DenseVector(vectorLength); + for (int i = 0; i < vectorLength; ++i) { + double piValue = p.get(i)/pSum; + pi.set(i, piValue); + if (piValue > 0d) { + D.set(i, Math.sqrt(piValue)); + piDInverse.set(i, piValue / D.get(i)); + } + } + + DoubleVector v = computeSecondEigenVector(matrix, piDInverse, D, p); + + // Sort the rows of the original matrix based on their v values. + Index[] elementIndices = new Index[v.length()]; + for (int i = 0; i < v.length(); ++i) + elementIndices[i] = new Index(v.get(i), i); + Arrays.sort(elementIndices); + + int cutIndex = computeCut(matrix, p, elementIndices); + + // Compute the split masked sub matrices from the original. + LinkedHashSet leftMatrixRows = new LinkedHashSet(); + LinkedHashSet rightMatrixRows = new LinkedHashSet(); + int i = 0; + for (Index index : elementIndices) { + if (i <= cutIndex) + leftMatrixRows.add(index.index); + else + rightMatrixRows.add(index.index); + i++; + } + + // Create the split permuted matricies. + Matrix leftMatrix = null; + Matrix rightMatrix = null; + if (matrix instanceof SparseMatrix) { + leftMatrix = new SparseRowMaskedMatrix((SparseMatrix) matrix, + leftMatrixRows); + rightMatrix = new SparseRowMaskedMatrix((SparseMatrix) matrix, + rightMatrixRows); + } else { + leftMatrix = new RowMaskedMatrix(matrix, leftMatrixRows); + rightMatrix = new RowMaskedMatrix(matrix, rightMatrixRows); + } + + verbose(String.format("Splitting into two matricies %d-%d", + leftMatrix.rows(), rightMatrix.rows())); + + // Do clustering on the left and right branches. + ClusterResult leftResult = + realCluster(leftMatrix, alpha, beta, maxClusters, depth+1); + ClusterResult rightResult = + realCluster(rightMatrix, alpha, beta, maxClusters, depth+1); + + verbose("Merging at depth " + depth); + + // Compute the objective when we keep the two branches split. + double intraClusterScore = + computeIntraClusterScore(leftResult, leftMatrix) + + computeIntraClusterScore(rightResult, rightMatrix); + + double interClusterScore = (pSum / 2) - intraClusterScore; + double splitObjective = alpha * intraClusterScore + interClusterScore; + + // Compute the objective when we merge the two branches together. + int numRows = matrix.rows(); + double mergedObjective = alpha * + ((numRows * (numRows + 1) / 2) - pSum/2); + + // If the merged objective value is less than the split version, combine + // all clusters into one. + int[] assignments = new int[matrix.rows()]; + int numClusters = 1; + if (mergedObjective < splitObjective) { + verbose("Selecting to combine sub trees at depth " + depth); + Arrays.fill(assignments, 0); + } else { + verbose("Selecting to maintain sub trees at depth " + depth); + + // Copy over the left assignments and the right assignments, where + // the cluster id's of the right assignments are incremented to + // avoid duplicate cluster ids. + numClusters = leftResult.numClusters + rightResult.numClusters; + + for (int index = 0; index < leftResult.assignments.length; ++index) + assignments[elementIndices[index].index] = + leftResult.assignments[index]; + int offset = leftResult.assignments.length; + for (int index = 0; index < rightResult.assignments.length; ++index) + assignments[elementIndices[index + offset].index] = + rightResult.assignments[index] + leftResult.numClusters; + } + return new ClusterResult(assignments, numClusters); + + } + + private DoubleVector computeSecondEigenVector(Matrix matrix, + DoubleVector piDInverse, + DoubleVector D, + DoubleVector p) { + int vectorLength = piDInverse.length(); + // Step 1, generate a random vector, v, that is orthogonal to + // pi*D-Inverse. + DoubleVectorGenerator generator = + new RandomOrthogonalVectorGenerator(vectorLength, piDInverse); + DoubleVector v = generator.generate(); + + int log = (int) Statistics.log2(vectorLength); + for (int k = 0; k < log; ++k) { + // Step 2, repeated, (a) normalize v (b) set v = Q*v, where Q = D * + // R-Inverse * matrix * matrix-Transpose * D-Inverse. + normalize(v); + + // v = Q*v is broken into 4 sub steps that allow for sparse + // multiplications. + // Step 2b-1) v = D-Inverse*v. + for (int i = 0; i < vectorLength; ++ i) + if (D.get(i) != 0d) + v.set(i, v.get(i) / D.get(i)); + + // Step 2b-2) v = matrix-Transpose * v. + DoubleVector newV = computeMatrixTransposeV(matrix, v); + + // Step 2b-3) v = matrix * v. + computeMatrixDotV(matrix, newV, v); + + // Step 2b-4) v = D*R-Inverse * v. Note that R is a diagonal matrix + // with p as the values along the diagonal. + for (int i = 0; i < vectorLength; ++i) { + double oldValue = v.get(i); + double newValue = oldValue * D.get(i) / p.get(i); + v.set(i, newValue); + } + } + + for (int i = 0; i < vectorLength; ++i) + v.set(i, v.get(i) / D.get(i)); + + return v; + } + + private int computeCut(Matrix matrix, + DoubleVector p, + Index[] elementIndices) { + // Compute the conductance of the newly sorted matrix. + DoubleVector x = new DenseVector(matrix.columns()); + DoubleVector y = new DenseVector(matrix.columns()); + + // First compute x and y, which are summations of different cuts of the + // matrix, starting with x being the first row and y being the summation + // of all other rows. While doing this, also compute different + // summations of values in the p vector using the same cut. + VectorMath.add(x, matrix.getRowVector(elementIndices[0].index)); + double lLeft = p.get(elementIndices[0].index); + double lRight = 0; + for (int i = 1; i < elementIndices.length; ++i) { + VectorMath.add(y, matrix.getRowVector(elementIndices[i].index)); + lRight += p.get(elementIndices[i].index); + } + + double u = Similarity.cosineSimilarity(x, y); + + // Find the minimum conductance. + double minConductance = u / Math.min(lLeft, lRight); + int cutIndex = 0; + for (int i = 1; i < elementIndices.length - 1; ++i) { + // Compute the new value of u, the denominator for computing the + // conductance. + DoubleVector vector = matrix.getRowVector(elementIndices[i].index); + u = u - Similarity.cosineSimilarity(x, vector) + + Similarity.cosineSimilarity(y, vector) + 1; + + // Shift over vectors from y to x. + VectorMath.add(x, vector); + VectorMath.subtract(y, vector); + + // Shift over values from the p vector. + lLeft += p.get(elementIndices[i].index); + lRight -= p.get(elementIndices[i].index); + + // Recompute the new conductance and check if it's the smallest. + double conductance = u / Math.min(lLeft, lRight); + if (conductance < minConductance) { + minConductance = conductance; + cutIndex = i; + } + } + return cutIndex; + } + + /** + * Computes the dot product when the second vector may be sparse and the + * first vector has a known magnitude. + */ + private double cosineSimilarity(DoubleVector v1, + double v1Magnitude, + DoubleVector v2) { + double dot = 0; + double v2Magnitude = 0; + if (v2 instanceof SparseDoubleVector) { + SparseDoubleVector sv2 = (SparseDoubleVector) v2; + int[] nonZeros = sv2.getNonZeroIndices(); + for (int index : nonZeros) { + double v2Value = v2.get(index); + v2Magnitude += Math.pow(v2Value, 2); + dot += v2Value * v1.get(index); + } + } else { + for (int i = 0; i < v2.length(); ++i) { + double v2Value = v2.get(i); + v2Magnitude += Math.pow(v2Value, 2); + dot += v2Value * v1.get(i); + } + } + v2Magnitude = Math.sqrt(v2Magnitude); + + return dot / (v1Magnitude * v2Magnitude); + } + + /** + * Returns the dot product between the transpose of a given matrix and a + * given vector. This method has special casing for a {@code SparseMatrix}. + * This method also assumes that {@code matrix} is row based and iterates + * over each of the values in the row before iterating over another row. + */ + private DoubleVector computeMatrixTransposeV(Matrix matrix, + DoubleVector v) { + DoubleVector newV = new DenseVector(matrix.columns()); + if (matrix instanceof SparseMatrix) { + SparseMatrix smatrix = (SparseMatrix) matrix; + for (int r = 0; r < smatrix.rows(); ++r) { + SparseDoubleVector row = smatrix.getRowVector(r); + int[] nonZeros = row.getNonZeroIndices(); + for (int c : nonZeros) + newV.add(c, row.get(c) * v.get(r)); + } + } else { + for (int r = 0; r < matrix.rows(); ++r) + for (int c = 0; c < matrix.columns(); ++c) + newV.add(c, matrix.get(r, c) * v.get(r)); + } + return newV; + } + + /** + * Computes the dot product between a given matrix and a given vector {@code + * newV}. The result is stored in {@code v}. This method has special + * casing for when {@code matrix} is a {@code SparseMatrix}. This method + * also assumes that {@code matrix} is row based and iterates over each of + * the values in the row before iterating over another row. + */ + private void computeMatrixDotV(Matrix matrix, + DoubleVector newV, + DoubleVector v) { + // Special case for sparse matrices. + if (matrix instanceof SparseMatrix) { + SparseMatrix smatrix = (SparseMatrix) matrix; + for (int r = 0; r < smatrix.rows(); ++r) { + double vValue = 0; + SparseDoubleVector row = smatrix.getRowVector(r); + int[] nonZeros = row.getNonZeroIndices(); + for (int c : nonZeros) + vValue += row.get(c) * newV.get(c); + v.set(r, vValue); + } + } else { + // Handle dense matrices. + for (int r = 0; r < matrix.rows(); ++r) { + double vValue = 0; + for (int c = 0; c < matrix.columns(); ++c) + vValue += matrix.get(r, c) * newV.get(c); + v.set(r, vValue); + } + } + } + + /** + * Computes the inter cluster objective for a clustering result. + * + * @param result The set of cluster assignments for a set of vectors. + * @param m the matrix containing each row in the cluster result. + */ + private double computeIntraClusterScore(ClusterResult result, + Matrix m) { + DoubleVector[] centroids = new DoubleVector[result.numClusters]; + double intraClusterScore = 0; + for (int i = 0; i < result.assignments.length; ++i) { + int assignment = result.assignments[i]; + DoubleVector v = m.getRowVector(i); + if (centroids[assignment] == null) + centroids[assignment] = Vectors.copyOf(v); + else { + DoubleVector centroid = centroids[assignment]; + intraClusterScore += Similarity.cosineSimilarity(centroid, v); + VectorMath.add(centroid, v); + } + } + return intraClusterScore; + } + + /** + * Compute the row sums of the values in {@code matrix} and returns the + * values in a vector of length {@code matrix.columns()}. + */ + private DoubleVector computeMatrixRowSum(T matrix) { + DoubleVector rowSums = new DenseVector(matrix.columns()); + for (int r = 0; r < matrix.rows(); ++r) + VectorMath.add(rowSums, matrix.getRowVector(r)); + return rowSums; + } + + /** + * Normalizes using the the largest value in the vector. + */ + private void normalize(DoubleVector v) { + double maxValue = 0; + for (int i = 0; i < v.length(); ++i) + maxValue += Math.pow(v.get(i), 2); + maxValue = Math.sqrt(maxValue); + for (int i = 0; i < v.length(); ++i) + v.set(i, v.get(i) / maxValue); + } + + private void verbose(String out) { + LOGGER.info(out); + } + + /** + * A simple comparable data struct holding a row vector's weight and the + * vector's original index in a matrix. + */ + private class Index implements Comparable { + public final double weight; + public final int index; + + public Index(double weight, int index) { + this.weight = weight; + this.index = index; + } + + public int compareTo(Object other) { + Index i = (Index) other; + return (int) (this.weight - i.weight); + } + } + + /** + * A simple struct holding the cluster assignments and the number of + * unique clusters generated. + */ + private class ClusterResult { + + public int[] assignments; + public int numClusters; + + public ClusterResult(int[] assignments, int numClusters) { + this.assignments = assignments; + this.numClusters = numClusters; + } + } +} diff --git a/src/edu/ucla/sspace/coals/Coals.java b/src/edu/ucla/sspace/coals/Coals.java new file mode 100644 index 00000000..3141440e --- /dev/null +++ b/src/edu/ucla/sspace/coals/Coals.java @@ -0,0 +1,547 @@ +/* + * Copyright 2009 Keith Stevens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.coals; + + +import edu.ucla.sspace.common.SemanticSpace; + +import edu.ucla.sspace.matrix.CellMaskedSparseMatrix; +import edu.ucla.sspace.matrix.ArrayMatrix; +import edu.ucla.sspace.matrix.AtomicGrowingSparseMatrix; +import edu.ucla.sspace.matrix.CorrelationTransform; +import edu.ucla.sspace.matrix.MatlabSparseMatrixBuilder; +import edu.ucla.sspace.matrix.Matrices; +import edu.ucla.sspace.matrix.Matrix; +import edu.ucla.sspace.matrix.MatrixBuilder; +import edu.ucla.sspace.matrix.MatrixIO; +import edu.ucla.sspace.matrix.MatrixIO.Format; +import edu.ucla.sspace.matrix.Normalize; +import edu.ucla.sspace.matrix.SparseMatrix; +import edu.ucla.sspace.matrix.SVD; +import edu.ucla.sspace.matrix.Transform; + +import edu.ucla.sspace.vector.CompactSparseVector; +import edu.ucla.sspace.vector.SparseDoubleVector; +import edu.ucla.sspace.vector.SparseHashDoubleVector; +import edu.ucla.sspace.vector.Vector; +import edu.ucla.sspace.vector.Vectors; +import edu.ucla.sspace.vector.VectorMath; + +import edu.ucla.sspace.text.IteratorFactory; + +import java.io.BufferedReader; +import java.io.File; +import java.io.IOError; +import java.io.IOException; + +import java.util.Arrays; +import java.util.ArrayList; +import java.util.ArrayDeque; +import java.util.Collections; +import java.util.Comparator; +import java.util.Iterator; +import java.util.List; +import java.util.Map; +import java.util.HashMap; +import java.util.Properties; +import java.util.Queue; +import java.util.Set; + +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ConcurrentMap; + +import java.util.concurrent.atomic.AtomicInteger; + +import java.util.logging.Logger; + + +/** + * An implementation of the COALS Semantic Space model. This implementation is + * based on: + * + *

    Rohde, D. L. T., + * Gonnerman, L. M., Plaut, D. C. (2005). An Improved Model of Semantic + * Similarity Based on Lexical Co-Occurrence. Cognitive Science + * (submitted). Available here

    + * + * COALS first computes a term by term co-occurrance using a ramped 4-word + * window. Once all documents have been processed, the co-occurrence matrix will + * be re ordered such that only the {@code N} most frequent terms have their + * semantic vectors retained and only the {@code M} most frequent terms are used + * as co-occurrence features. These values can be set by the {@value + *#MAX_WORDS_PROPERTY} and {@value MAX_DIMENSIONS_PROPERTY} properties, + * resepctively. After re ordering the semantic vectors and features, {@link + * CorrelationTransform} is used to rerank all co-occurrence scores. As part of + * this transform, all negative correlations are dropped and replaced with a 0. + * Finally, and optionally, the {@link SVD} is used to reduce the semantic + * space. To set the number of retained dimensions via {@link SVD}, set the + * {@value REDUCE_DIMENSION_PROPERTY} property. + * + * @author Keith Stevens + */ +public class Coals implements SemanticSpace { + + /** + * The property prefix for other settings. + */ + public static final String PROPERTY_PREFIX = + "edu.ucla.sspace.coals.Coals"; + + /** + * Specifies whether or not the co-occurance matrix should be reduced. + */ + public static final String REDUCE_MATRIX_PROPERTY = + PROPERTY_PREFIX + ".reduce"; + + /** + * Specifies the number of dimensions the co-occurance matrix should be + * reduced to. + */ + public static final String REDUCE_DIMENSION_PROPERTY = + PROPERTY_PREFIX + ".dimension"; + + /** + * Specifies the number of dimensions in the raw co-occurrance matrix to + * maintain. + */ + public static final String MAX_DIMENSIONS_PROPERTY = + PROPERTY_PREFIX + ".maxDimensions"; + + /** + * Specifies the number of words to build semantics for. + */ + public static final String MAX_WORDS_PROPERTY = + PROPERTY_PREFIX + ".maxWords"; + + /** + * Specifies if Coals should not normalize the co-occurance matrix. + */ + public static final String DO_NOT_NORMALIZE_PROPERTY = + PROPERTY_PREFIX + ".doNotNormalize"; + + /** + * The default number of dimensions to reduce to. + */ + private static final String DEFAULT_REDUCE_DIMENSIONS = "800"; + + /** + * The default number of dimensions to save in the co-occurrance matrix. + */ + private static final String DEFAULT_MAX_DIMENSIONS = "14000"; + + /** + * The default number of rows to save in the co-occurrance matrix. + */ + private static final String DEFAULT_MAX_WORDS = "15000"; + + /** + * The name of this {@code SemanticSpace} + */ + public static final String COALS_SSPACE_NAME = + "coals-semantic-space"; + + /** + * The logger used to record all output + */ + private static final Logger COALS_LOGGER = + Logger.getLogger(Coals.class.getName()); + + /** + * A mapping from each word to the vector the represents its semantics + */ + private Map wordToSemantics; + + /** + * A mapping from word to index number. + */ + private Map termToIndex; + + /** + * A map containg the total frequency counts of each word. + */ + private ConcurrentMap totalWordFreq; + + /** + * The final reduced matrix. + */ + Matrix finalCorrelation; + + /** + * Specifies if the matrix has been reduced by SVD. + */ + boolean reduceMatrix; + + /** + * Specifies the number of reduced dimensions if the matrix is reduced by + * SVD. + */ + int reducedDimensions; + + /** + * A counter for keeping track of the index values of words. + */ + private int wordIndexCounter; + + /** + * Creats a {@link Coals} instance. + */ + public Coals() { + termToIndex = new HashMap(); + totalWordFreq = new ConcurrentHashMap(); + wordToSemantics = new HashMap(1024, 4f); + finalCorrelation = null; + } + + /** + * {@inheritDoc} + */ + public Set getWords() { + return termToIndex.keySet(); + } + + /** + * {@inheritDoc} + */ + public Vector getVector(String term) { + Integer index = termToIndex.get(term); + if (index == null) + return null; + return Vectors.immutable( + finalCorrelation.getRowVector(index.intValue())); + } + + public String getSpaceName() { + String ret = COALS_SSPACE_NAME; + if (reduceMatrix) + ret += "-svd-" + reducedDimensions; + return ret; + } + + public int getVectorLength() { + return finalCorrelation.columns(); + } + + /** + * {@inheritDoc} + */ + public void processDocument(BufferedReader document) throws IOException { + Map wordFreq = new HashMap(); + Map wordDocSemantics = + new HashMap(); + + // Setup queues to track the set of previous and next words in a + // context. + Queue prevWords = new ArrayDeque(); + Queue nextWords = new ArrayDeque(); + + Iterator it = IteratorFactory.tokenizeOrdered(document); + + for (int i = 0; i < 4 && it.hasNext(); ++i) + nextWords.offer(it.next()); + + // Compute the co-occurrance statistics of each focus word in the + // document. + while (!nextWords.isEmpty()) { + + // Slide over the context by one word. + if (it.hasNext()) + nextWords.offer(it.next()); + + // Get the focus word + String focusWord = nextWords.remove(); + if (!focusWord.equals(IteratorFactory.EMPTY_TOKEN)) { + getIndexFor(focusWord); + + // Update the frequency count of the focus word. + Integer focusFreq = wordFreq.get(focusWord); + wordFreq.put(focusWord, (focusFreq == null) + ? 1 + : 1 + focusFreq.intValue()); + + // Get the temprorary semantics for the focus word, create a new + // vector for them if needed. + SparseDoubleVector focusSemantics = wordDocSemantics.get( + focusWord); + if (focusSemantics == null) { + focusSemantics = new SparseHashDoubleVector( + Integer.MAX_VALUE); + wordDocSemantics.put(focusWord, focusSemantics); + } + + // Process the previous words. + int offset = 4 - prevWords.size(); + for (String word : prevWords) { + offset++; + if (word.equals(IteratorFactory.EMPTY_TOKEN)) + continue; + int index = getIndexFor(word); + focusSemantics.add(index, offset); + } + + // Process the next words. + offset = 5; + for (String word : nextWords) { + offset--; + if (word.equals(IteratorFactory.EMPTY_TOKEN)) + continue; + int index = getIndexFor(word); + focusSemantics.add(index, offset); + } + } + + prevWords.offer(focusWord); + if (prevWords.size() > 4) + prevWords.remove(); + } + + // Add the temporary vectors for each word in this document to the + // actual semantic fectors. + for (Map.Entry e : + wordDocSemantics.entrySet()) { + SparseDoubleVector focusSemantics = getSemanticVector( + e.getKey()); + // Get the non zero indices before hand so that they are cached + // during the synchronized section. + focusSemantics.getNonZeroIndices(); + synchronized (focusSemantics) { + VectorMath.add(focusSemantics, e.getValue()); + } + } + + // Store the total frequency counts of the words seen in this document + // so far. + for (Map.Entry entry : wordFreq.entrySet()) { + int count = entry.getValue().intValue(); + AtomicInteger freq = totalWordFreq.putIfAbsent( + entry.getKey(), new AtomicInteger(count)); + if (freq != null) + freq.addAndGet(count); + } + } + + /** + * Returns the current semantic vector for the provided word, or if the word + * is not currently in the semantic space, a vector is added for it and + * returned. + * + * @param word a word + * + * @return the {@code SemanticVector} for the provide word. + */ + private SparseDoubleVector getSemanticVector(String word) { + SparseDoubleVector v = wordToSemantics.get(word); + if (v == null) { + // lock on the word in case multiple threads attempt to add it at + // once + synchronized(this) { + // recheck in case another thread added it while we were waiting + // for the lock + v = wordToSemantics.get(word); + if (v == null) { + v = new CompactSparseVector(); + wordToSemantics.put(word, v); + } + } + } + return v; + } + + /** + * Returns the index in the co-occurence matrix for this word. If the word + * was not previously assigned an index, this method adds one for it and + * returns that index. + */ + private int getIndexFor(String word) { + Integer index = termToIndex.get(word); + if (index == null) { + synchronized(this) { + // recheck to see if the term was added while blocking + index = termToIndex.get(word); + // if another thread has not already added this word while the + // current thread was blocking waiting on the lock, then add it. + if (index == null) { + int i = wordIndexCounter++; + termToIndex.put(word, i); + return i; // avoid the auto-boxing to assign i to index + } + } + } + return index; + } + + /** + * {@inheritDoc} + */ + public void processSpace(Properties props) { + reduceMatrix = + props.getProperty(REDUCE_MATRIX_PROPERTY) != null; + reducedDimensions = Integer.parseInt( + props.getProperty(REDUCE_DIMENSION_PROPERTY, + DEFAULT_REDUCE_DIMENSIONS)); + boolean normalize = + props.getProperty(DO_NOT_NORMALIZE_PROPERTY) == null; + int maxWords = Integer.parseInt( + props.getProperty(MAX_WORDS_PROPERTY, + DEFAULT_MAX_WORDS)); + int maxDimensions = Integer.parseInt( + props.getProperty(MAX_DIMENSIONS_PROPERTY, + DEFAULT_MAX_DIMENSIONS)); + + COALS_LOGGER.info("Droppring dimensions from co-occurrance matrix."); + // Read in the matrix from a file with dimensions dropped. + finalCorrelation = buildMatrix(maxWords, maxDimensions); + COALS_LOGGER.info("Done dropping dimensions."); + + if (normalize) { + COALS_LOGGER.info("Normalizing co-occurrance matrix."); + + // Normalize the matrix using correlation. + int wordCount = finalCorrelation.rows(); + Transform correlation = new CorrelationTransform(); + finalCorrelation = correlation.transform(finalCorrelation); + COALS_LOGGER.info("Done normalizing co-occurrance matrix."); + } + + if (reduceMatrix) { + COALS_LOGGER.info("Reducing using SVD."); + try { + File coalsMatrixFile = + File.createTempFile("coals-term-doc-matrix", "dat"); + coalsMatrixFile.deleteOnExit(); + MatrixIO.writeMatrix(finalCorrelation, + coalsMatrixFile, + Format.SVDLIBC_SPARSE_BINARY); + if (reducedDimensions > finalCorrelation.columns()) + reducedDimensions = finalCorrelation.columns(); + + Matrix[] usv = SVD.svd(coalsMatrixFile, + SVD.Algorithm.ANY, + Format.SVDLIBC_SPARSE_BINARY, + reducedDimensions); + finalCorrelation = usv[0]; + } catch (IOException ioe) { + throw new IOError(ioe); + } + COALS_LOGGER.info("Done reducing using SVD."); + } + } + + /** + * Returns a {@link Matrix} that contains {@code maxWords} and {@code + * maxDimensions} columns. If {@code maxWords} is 0, then all words will be + * returned in the semantic {@link Matrix}. If {@code maxDimensions} is + * larger than the number of observed features, then all observed features + * will be maintained. The resulting rows and columns are both ordred based + * on the frequency of each term, in descending order, {@code termToIndex} + * is modified to account for these changed. + */ + private Matrix buildMatrix(int maxWords, int maxDimensions) { + // Convert the vectors in the semantic map to a matrix. + SparseDoubleVector[] vectorList = + new SparseDoubleVector[wordToSemantics.size()]; + for (Map.Entry e : + wordToSemantics.entrySet()) + vectorList[getIndexFor(e.getKey())] = e.getValue(); + SparseMatrix matrix = Matrices.asSparseMatrix( + Arrays.asList(vectorList)); + + // If maxwords was set to 0, save all words. + if (maxWords == 0) + maxWords = wordToSemantics.size(); + + COALS_LOGGER.info("Forming the inverse mapping from terms to indices."); + // Calculate an inverse mapping from index to word since the binary file + // stores things by index number. + String[] indexToTerm = new String[termToIndex.size()]; + for (Map.Entry entry : termToIndex.entrySet()) + indexToTerm[entry.getValue()] = entry.getKey(); + + COALS_LOGGER.info("Sorting the terms based on frequency."); + // Calculate the new indices for each word that will be kept based on + // the frequency count, where the most frequent word will be first. + ArrayList> wordCountList = + new ArrayList>( + totalWordFreq.entrySet()); + Collections.sort(wordCountList, new EntryComp()); + + // Calculate the new term to index mapping based on the order of the + // word frequencies. + COALS_LOGGER.info("Generating the index masks."); + + // Compute the number of dimensions to maintain. + int wordCount = (wordCountList.size() > maxDimensions) + ? maxDimensions + : wordCountList.size(); + + int[] rowMask = new int[maxWords]; + int[] colMask = new int[wordCount]; + + // Create a new vector list to store the word semantics that will be + // retained. When this method exits, it will throw away all the other + // vectors. + SparseDoubleVector[] newVectorList = new SparseDoubleVector[maxWords]; + + // For each of the terms that we have a mapping, add row and column + // maskings for the indices of the first maxWords terms. For all other + // terms, remove the term to index mapping. + int termCount = 0; + for (Map.Entry entry : wordCountList) { + Integer oldIndex = termToIndex.get(entry.getKey()); + + // Skip any non mapped terms. + if (oldIndex == null) + continue; + + // Add a row and/or column mask from the index of this word to it's + // index in the original matrix. + if (termCount < maxWords) { + if (termCount < wordCount) + colMask[termCount] = oldIndex; + // Add the vector for this reserved word to the new vector list. + newVectorList[termCount] = vectorList[oldIndex]; + + // Record the new dimension for this term. + rowMask[termCount] = termCount; + termToIndex.put(entry.getKey(), termCount); + termCount++; + } + // Drop all other mappings. + else + termToIndex.remove(entry.getKey()); + } + + wordToSemantics = null; + matrix = Matrices.asSparseMatrix(Arrays.asList(newVectorList)); + // Return a masked version of the original matrix. + return new CellMaskedSparseMatrix(matrix, rowMask, colMask); + } + + private class EntryComp + implements Comparator> { + public int compare(Map.Entry o1, + Map.Entry o2) { + int diff = o2.getValue().get() - o1.getValue().get(); + return (diff != 0) ? diff : o2.getKey().compareTo(o1.getKey()); + } + } +} diff --git a/src/edu/ucla/sspace/common/ArgOptions.java b/src/edu/ucla/sspace/common/ArgOptions.java new file mode 100644 index 00000000..5a5f7337 --- /dev/null +++ b/src/edu/ucla/sspace/common/ArgOptions.java @@ -0,0 +1,706 @@ +/* + * Copyright 2009 David Jurgens + * + * This file is part of the S-Space package and is covered under the terms and + * conditions therein. + * + * The S-Space package is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 2 as published + * by the Free Software Foundation and distributed hereunder to you. + * + * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES, + * EXPRESS OR IMPLIED ARE MADE. BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE + * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY + * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION + * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER + * RIGHTS. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +package edu.ucla.sspace.common; + +import java.util.ArrayList; +import java.util.List; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedHashMap; +import java.util.Map; +import java.util.Set; +import java.util.TreeSet; + + +/** + * A utility class for parsing command line arguments. + * + * @author David Jurgens + */ +public class ArgOptions { + + // + // Positional args and optionsToValue only contain data after processArgs + // has been called. + // + + /** + * The list of positional args + */ + private final List positionalArgs; + + /** + * A mapping from each option specified on the command line to the value + * that it was paired with or {@code null} if that option did not take a + * value + */ + private final Map optionToValue; + + // + // Data for three Map instances is added from the addOption() methods + // + + /** + * A mapping from a {@code String} name for the option to the the {@code + * Option}. + */ + private final Map longNameToOption; + + /** + * A mapping from a {@code char} abbreviation for the option to the the + * {@code Option}. + */ + private final Map shortNameToOption; + + /** + * A mapping to the group name for a set of options. Note that if no group + * name is provided the options are mapped from the group {@code null}. + */ + private final Map> groupToOptions; + + /** + * Constructs an empty {@code ArgOptions} with no options available. + */ + public ArgOptions() { + positionalArgs = new ArrayList();; + optionToValue = new HashMap(); + longNameToOption = new HashMap(); + shortNameToOption = new HashMap(); + // use a linked for stable iteration ordering + groupToOptions = new LinkedHashMap>(); + } + + /** + * Creates an option that is in the default group and takes no values and + * adds to the set of possible options. + * + * @param shortName a one character short name for specify this option. + * @param longName a string name for specifying this option. + * @param description an optional descritpion for this option, or {@code + * null} if no description is to be provided. + * + * @throws IllegalArgumentException if
    • If another option with + * either the same {@code shortName} or the same {@code longName} + * has been already been added.
    • longName has length 1.
    + */ + public void addOption(char shortName, + String longName, + String description) { + addOption(shortName, longName, description, false, null, null); + } + + /** + * Creates an option in the default group using the provided parameters and + * adds it to the set of possible options. + * + * @param shortName a one character short name for specify this option. + * @param longName a string name for specifying this option. + * @param description an optional descritpion for this option, or {@code + * null} if no description is to be provided. + * @param hasValue whether this option takes a value. + * @param valueName if this option takes a value, the name of that value + * + * @throws IllegalArgumentException if
    • If another option with + * either the same {@code shortName} or the same {@code longName} + * has been already been added.
    • longName has length 1
    • + * {@code hasArg} is {@code true} but {@code valueName} is {@code + * null}.
    + */ + public void addOption(char shortName, + String longName, + String description, + boolean hasValue, + String valueName) { + addOption(shortName, longName, description, hasValue, valueName, null); + } + + + /** + * Creates an option based on the provided parameters and adds the option to + * the set of possible options. + * + * @param shortName a one character short name for specify this option. + * @param longName a string name for specifying this option. + * @param description an optional descritpion for this option, or {@code + * null} if no description is to be provided. + * @param hasValue whether this option takes a value. + * @param valueName if this option takes a value, the name of that value + * @param optionGroupName the name of a group if this option is part of a + * specific subset of the options, or {@code null} if this is a + * generic option + * + * @throws IllegalArgumentException if
    • If another option with + * either the same {@code shortName} or the same {@code longName} + * has been already been added.
    • longName has length 1
    • + * {@code hasArg} is {@code true} but {@code valueName} is {@code + * null}.
    + */ + public void addOption(char shortName, + String longName, + String description, + boolean hasValue, + String valueName, + String optionGroupName) { + + if (longName != null && longName.length() == 1) { + throw new IllegalArgumentException( + "long name must be at least two characters"); + } + + if (hasValue && valueName == null) { + throw new IllegalArgumentException( + "value name must be supposed"); + } + + Option o = new Option(shortName, longName, description, valueName); + + if (shortNameToOption.containsKey(shortName) || + (longName != null && longNameToOption.containsKey(longName))) { + throw new IllegalArgumentException( + "Already specified value with same name"); + } + else { + shortNameToOption.put(shortName, o); + if (longName != null) { + longNameToOption.put(longName, o); + } + Set