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o Version controlled properties for profiling ant script
# You can locally override properties defined here by placing
# them in a project.properties file in the same directory.
#
# Do not check your project.properties file into CVS!
# directory containing aspectj libraries (aspectj[tools|weaver|rt].jar)
aspectj.lib.dir=../../aj-build/dist/tools/lib
# root directory of your workspace containing the aspectj tree (if
# using head for profiling as opposed to a built version of aspectj)
aspectj.workspace.root=../..
# set this property to false in your project.properties to use the contents of your workspace
# for compilation, as opposed to the jars in aspectj.lib.dir
use.aspectjtools.jar=false
# the iajc task that ships with 1.5.0 or any prior release does
# not support the need <jvmarg> nested attribute that this
# profiling script needs. To profile AspectJ versions < 1.5.1,
# use the local copy of AjcTask in the "classes" folder by
# defining the following property
use.local.iajc.task.class=true
# directory in which results will be placed
results.dir=results
# source and target levels for compilation
source.level=1.3
target.level=1.3
# the maximum memory to make available for the compilation/weaving
ajc.maxmem=768m
# the name of the file containing the path definitions needed to compile
# a particular target application as the subject of the profiling
# we profile the compilation and weaving of spring 1.2.6 by default.
target.application.definitions.file=./tjp.xml
# target application name, used as the subdirectory under results to store
# profiling results
target.application.name=tjp
# source root directory for the aspects you want to compile and weave alongside
# the target application (unless it contains sufficient aspects on its own...)
test.aspects.src.dir=
# installation dir of a spring-1.2.6 distribution. you will need to set this
# in project.properties unless you point the target.application.definitions.file
# to compile a different target application altogether.
spring.install.dir=must-set-spring.install.dir-property-in-project.properties
# for binary and loadtime weaving, the location of the jar file that will be
# woven into
weave.injar=
# location of aop.xml file to be included when load-time weaving
# use this to control the set of types exposed to the weaver so as to
# match the set of types woven in the other modes for fair comparisons
# across weave times
ltw.aop.xml=
# args to pass to vm for hprof run
#
# hprof usage: java -agentlib:hprof=[help]|[<option>=<value>, ...]
#
# Option Name and Value Description Default
# --------------------- ----------- -------
# heap=dump|sites|all heap profiling all
# cpu=samples|times|old CPU usage off
# monitor=y|n monitor contention n
# format=a|b text(txt) or binary output a
# file=<file> write data to file java.hprof[.txt]
# net=<host>:<port> send data over a socket off
# depth=<size> stack trace depth 4
# interval=<ms> sample interval in ms 10
# cutoff=<value> output cutoff point 0.0001
# lineno=y|n line number in traces? y
# thread=y|n thread in traces? n
# doe=y|n dump on exit? y
# msa=y|n Solaris micro state accounting n
# force=y|n force output to <file> y
# verbose=y|n print messages about dumps y
# see http://java.sun.com/developer/technicalArticles/Programming/HPROF.html
#hprof.args=-agentlib:hprof=heap=sites,cpu=samples,depth=8
hprof.args=-agentlib:hprof=heap=sites,cpu=samples,depth=8
# for full details on object allocation and reachability use heap=all instead
# (v. large files)
# for full timing info use cpu=times (much slower)
# for Java 1.4 and below use the following style instead
# hprof.args=-Xrunhprof:cpu=times
# args to pass to vm for gc run
# after a run this file will be copied into results/${target.application.name}/gt.<date-time>.txt
# you can analyze it with JTune (http://www.hp.com/products1/unix/java/java2/hpjtune/index.html)
# Start JTune with java -jar HPTune.jar
gc.args=-Xloggc:gc.txt
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