commit:     02b0fcbb539a7d9518e3095ee8aea1ceed105eb7
Author:     Patrice Clement <monsieurp <AT> gentoo <DOT> org>
AuthorDate: Wed Oct  7 23:08:48 2015 +0000
Commit:     Patrice Clement <monsieurp <AT> gentoo <DOT> org>
CommitDate: Wed Oct  7 23:09:43 2015 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=02b0fcbb

dev-java/colt: Remove dev-java/concurrent-util dependency. Fixes bug 546496.

Monkey patch sources and make use of java.concurrent.util packages from the SDK 
instead. Raise jdk/jre to 1.7. Drop ppc+ppc64.

Package-Manager: portage-2.2.20.1
Signed-off-by: Patrice Clement <monsieurp <AT> gentoo.org>

 dev-java/colt/colt-1.2.0-r3.ebuild                 |  48 +++++
 ...colt-1.2.0-remove-concurrent-util-imports.patch | 210 +++++++++++++++++++++
 2 files changed, 258 insertions(+)

diff --git a/dev-java/colt/colt-1.2.0-r3.ebuild 
b/dev-java/colt/colt-1.2.0-r3.ebuild
new file mode 100644
index 0000000..68ae524
--- /dev/null
+++ b/dev-java/colt/colt-1.2.0-r3.ebuild
@@ -0,0 +1,48 @@
+# Copyright 1999-2015 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=5
+JAVA_PKG_IUSE="source doc"
+
+inherit java-pkg-2 java-ant-2 eutils
+
+DESCRIPTION="A set of Open Source Libraries for High Performance Scientific 
and Technical Computing in Java"
+SRC_URI="http://dsd.lbl.gov/~hoschek/colt-download/releases/${P}.tar.gz";
+HOMEPAGE="http://www-itg.lbl.gov/~hoschek/colt/";
+
+LICENSE="colt"
+IUSE=""
+SLOT="0"
+KEYWORDS="~amd64 ~x86"
+
+DEPEND=">=virtual/jdk-1.7"
+RDEPEND=">=virtual/jre-1.7"
+
+S="${WORKDIR}/${PN}"
+
+EANT_BUILD_TARGET="javac jar"
+JAVA_ANT_REWRITE_CLASSPATH="true"
+JAVA_ANT_ENCODING="ISO-8859-1"
+
+# [0]: I don't know but it must be useful.
+# [1]: Monkey patch manually some classes to get rid of the
+# oswego.edu.concurrent.util imports.
+PATCHES=(
+       "${FILESDIR}/${P}-benchmark-no-deprecation.patch"
+       "${FILESDIR}/${P}-remove-concurrent-util-imports.patch"
+)
+
+java_prepare() {
+       epatch "${PATCHES[@]}"
+
+       find "${S}" -name \*.jar -exec rm -v {} \; || die
+}
+
+src_install() {
+       java-pkg_dojar "lib/${PN}.jar"
+
+       dohtml README.html || die
+       use doc && java-pkg_dojavadoc doc/api
+       use source && java-pkg_dosrc src/*
+}

diff --git 
a/dev-java/colt/files/colt-1.2.0-remove-concurrent-util-imports.patch 
b/dev-java/colt/files/colt-1.2.0-remove-concurrent-util-imports.patch
new file mode 100644
index 0000000..2cfbef7
--- /dev/null
+++ b/dev-java/colt/files/colt-1.2.0-remove-concurrent-util-imports.patch
@@ -0,0 +1,210 @@
+--- src/cern/colt/matrix/linalg/SmpBlas.java.orig      2015-10-07 
22:23:44.969486000 +0000
++++ src/cern/colt/matrix/linalg/SmpBlas.java   2015-10-07 22:29:15.475486000 
+0000
+@@ -10,7 +10,8 @@
+ 
+ import cern.colt.matrix.DoubleMatrix1D;
+ import cern.colt.matrix.DoubleMatrix2D;
+-import EDU.oswego.cs.dl.util.concurrent.FJTask;
++
++import java.util.concurrent.ForkJoinTask;
+ /**
+ Parallel implementation of the Basic Linear Algebra System for symmetric 
multi processing boxes.
+ Currently only a few algorithms are parallelised; the others are fully 
functional, but run in sequential mode.
+@@ -198,7 +199,7 @@
+       
+       // set up concurrent tasks
+       int span = width/noOfTasks;
+-      final FJTask[] subTasks = new FJTask[noOfTasks];
++      final ForkJoinTask[] subTasks = new ForkJoinTask[noOfTasks];
+       for (int i=0; i<noOfTasks; i++) {
+               final int offset = i*span;
+               if (i==noOfTasks-1) span = width - span*i; // last span may be 
a bit larger
+@@ -217,24 +218,30 @@
+                       CC = C.viewPart(offset,0,span,p);
+               }
+                               
+-              subTasks[i] = new FJTask() { 
++              subTasks[i] = new ForkJoinTask() { 
+                       public void run() { 
+                               
seqBlas.dgemm(transposeA,transposeB,alpha,AA,BB,beta,CC); 
+                               //System.out.println("Hello "+offset); 
+                       }
++
++      public boolean exec() { return true; }
++      public void setRawResult(Object o) {}
++      public Object getRawResult() {return null;}
+               };
+       }
+       
+       // run tasks and wait for completion
+-      try { 
+-              this.smp.taskGroup.invoke(
+-                      new FJTask() {
+-                              public void run() {     
+-                                      coInvoke(subTasks);     
+-                              }
+-                      }
+-              );
+-      } catch (InterruptedException exc) {}
++  this.smp.taskGroup.invoke(
++          new ForkJoinTask() {
++              public void run() {     
++                  invokeAll(subTasks);        
++              }
++
++              public boolean exec() { return true; }
++              public void setRawResult(Object o) {}
++              public Object getRawResult() {return null;}
++          }
++          );
+ }
+ public void dgemv(final boolean transposeA, final double alpha, 
DoubleMatrix2D A, final DoubleMatrix1D x, final double beta, DoubleMatrix1D y) {
+       /*
+@@ -271,7 +278,7 @@
+       
+       // set up concurrent tasks
+       int span = width/noOfTasks;
+-      final FJTask[] subTasks = new FJTask[noOfTasks];
++      final ForkJoinTask[] subTasks = new ForkJoinTask[noOfTasks];
+       for (int i=0; i<noOfTasks; i++) {
+               final int offset = i*span;
+               if (i==noOfTasks-1) span = width - span*i; // last span may be 
a bit larger
+@@ -280,24 +287,30 @@
+               final DoubleMatrix2D AA = A.viewPart(offset,0,span,n);
+               final DoubleMatrix1D yy = y.viewPart(offset,span);
+                               
+-              subTasks[i] = new FJTask() { 
++              subTasks[i] = new ForkJoinTask() { 
+                       public void run() { 
+                               seqBlas.dgemv(transposeA,alpha,AA,x,beta,yy); 
+                               //System.out.println("Hello "+offset); 
+                       }
++
++      public boolean exec() { return true; }
++      public void setRawResult(Object o) {}
++      public Object getRawResult() {return null;}
+               };
+       }
+       
+       // run tasks and wait for completion
+-      try { 
+-              this.smp.taskGroup.invoke(
+-                      new FJTask() {
+-                              public void run() {     
+-                                      coInvoke(subTasks);     
+-                              }
+-                      }
+-              );
+-      } catch (InterruptedException exc) {}
++  this.smp.taskGroup.invoke(
++          new ForkJoinTask() {
++              public void run() {     
++                  invokeAll(subTasks);        
++              }
++
++              public boolean exec() { return true; }
++              public void setRawResult(Object o) {}
++              public Object getRawResult() {return null;}
++          }
++          );
+ }
+ public void dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, 
DoubleMatrix2D A) {
+       seqBlas.dger(alpha,x,y,A);
+@@ -369,9 +382,6 @@
+ /**
+  * Prints various snapshot statistics to System.out; Simply delegates to 
{@link EDU.oswego.cs.dl.util.concurrent.FJTaskRunnerGroup#stats}.
+  */
+-public void stats() {
+-      if (this.smp!=null) this.smp.stats();
+-}
+ private double xsum(DoubleMatrix2D A) {
+       double[] sums = run(A,true,
+               new Matrix2DMatrix2DFunction() {
+--- src/cern/colt/matrix/linalg/Smp.java.orig  2015-10-07 21:08:19.443486000 
+0000
++++ src/cern/colt/matrix/linalg/Smp.java       2015-10-07 22:28:24.722486000 
+0000
+@@ -9,12 +9,13 @@
+ package cern.colt.matrix.linalg;
+ 
+ import cern.colt.matrix.DoubleMatrix2D;
+-import EDU.oswego.cs.dl.util.concurrent.FJTask;
+-import EDU.oswego.cs.dl.util.concurrent.FJTaskRunnerGroup;
++import java.util.concurrent.ForkJoinTask;
++import java.util.concurrent.ForkJoinPool;
++
+ /*
+ */
+ class Smp {
+-      protected FJTaskRunnerGroup taskGroup; // a very efficient and light 
weight thread pool
++      protected ForkJoinPool taskGroup; // a very efficient and light weight 
thread pool
+ 
+       protected int maxThreads;       
+ /**
+@@ -24,41 +25,39 @@
+       maxThreads = Math.max(1,maxThreads);
+       this.maxThreads = maxThreads;
+       if (maxThreads>1) {
+-              this.taskGroup = new FJTaskRunnerGroup(maxThreads);
++              this.taskGroup = new ForkJoinPool(maxThreads);
+       }
+       else { // avoid parallel overhead
+               this.taskGroup = null;
+       }
+ }
+-/**
+- * Clean up deamon threads, if necessary.
+- */
+-public void finalize() {
+-      if (this.taskGroup!=null) this.taskGroup.interruptAll();
+-}
+ protected void run(final DoubleMatrix2D[] blocksA, final DoubleMatrix2D[] 
blocksB, final double[] results, final Matrix2DMatrix2DFunction function) {
+-      final FJTask[] subTasks = new FJTask[blocksA.length];
++      final ForkJoinTask[] subTasks = new ForkJoinTask[blocksA.length];
+       for (int i=0; i<blocksA.length; i++) {
+               final int k = i;
+-              subTasks[i] = new FJTask() { 
++              subTasks[i] = new ForkJoinTask() { 
+                       public void run() {
+                               double result = 
function.apply(blocksA[k],blocksB != null ? blocksB[k] : null);
+                               if (results!=null) results[k] = result; 
+                               //System.out.print("."); 
+                       }
++      public boolean exec() { return true; }
++      public void setRawResult(Object o) {}
++      public Object getRawResult() {return null;}
+               };
+       }
+ 
+       // run tasks and wait for completion
+-      try { 
+-              this.taskGroup.invoke(
+-                      new FJTask() {
+-                              public void run() {     
+-                                      coInvoke(subTasks);     
+-                              }
+-                      }
+-              );
+-      } catch (InterruptedException exc) {}
++  this.taskGroup.invoke(
++          new ForkJoinTask() {
++              public void run() {     
++                  invokeAll(subTasks);        
++              }
++              public boolean exec() { return true; }
++              public void setRawResult(Object o) {}
++              public Object getRawResult() {return null;}
++          }
++          );
+ }
+ protected DoubleMatrix2D[] splitBlockedNN(DoubleMatrix2D A, int threshold, 
long flops) {
+       /*
+@@ -186,10 +185,4 @@
+       }
+       return blocks;
+ }
+-/**
+- * Prints various snapshot statistics to System.out; Simply delegates to 
{@link EDU.oswego.cs.dl.util.concurrent.FJTaskRunnerGroup#stats}.
+- */
+-public void stats() {
+-      if (this.taskGroup!=null) this.taskGroup.stats();
+-}
+ }

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