similar to: Opus on iOS - ARM64

Hi all, I'm trying to compile for iOS + Simulator. My current configure arguments for my simulator builds look like: ./configure --enable-float-approx --disable-shared --enable-static --with-pic --disable-extra-programs --disable-doc --host=i386-apple-darwin_ios \ LDFLAGS="$LDFLAGS -fPIE -miphoneos-version-min=${MIN_IOS_VERSION} -L${BUILD_DIR}/opus/lib" \ CFLAGS="$CFLAGS -arch

Looking back through the commits to llvm-gcc-4.2/trunk/gcc/config/i386/darwin.h, I see a total backout of format related warnings in r56923 followed by the reapplication of r569065 with a fix (r56946)... -- llvm-gcc-4.2/trunk/gcc/config/i386/darwin.h 2008/10/01 17:38:40 56923 +++ llvm-gcc-4.2/trunk/gcc/config/i386/darwin.h 2008/10/02 06:16:08 56946 @@ -101,6 +101,8 @@ %{!mmacosx-version-min=*:

Does rsync -aAXv /dir1 /dir2, where dir2 is a mounted FAT formatted SD card, and then: rsync -aAXv /dir2 /dir1, to restore the files in dir1 from the FAT formatted SD card, restore the ACL and owner/permissions of the files and directories in dir1? Thanks, John -- John Conover, conover at rahul.net, http://www.johncon.com/

Hi, I’m using llvm+clang (+ a wrapper for swift that allow me to use my clang to compile swift files) inside Xcode and I have encountered two issues with the new clang 3.9 and Xcode 8: 1) when compiling with the deployment target set to 10.0, I got this error: clang-3.9: error: invalid version number in '-miphoneos-version-min=10.0’. If I set back the deployment target to 9.3 it works fine.

Hi, I would need to extend the Friedman test to a replicated design. Currently the function: friedman.test(y, ...) only works for unreplicated designs. I found in Conover 1999 "Practical Nonparamteric statistics" an extension of the formula to my case. Nevertheless, other sources, like Sheskin 2000 "Parametric and Nonparametric statistical Procedures" and Daniel 1990

On Wed, Sep 28, 2016 at 11:13:35AM -0700, Mehdi Amini wrote: > > > On Sep 28, 2016, at 11:00 AM, Rinaldini Julien via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > > > Hi, > > > > I’m using llvm+clang (+ a wrapper for swift that allow me to use my clang to compile swift files) inside Xcode and I have encountered two issues with the new clang 3.9 and

------- =_aaaaaaaaaa0 Content-Type: text/plain; charset="us-ascii" Content-ID: <14008.870179829.1@erehwon.bmc.com> See attached. Red Hat Linux package mh-6.8.3-13.i386.rpm installs the inc and msgchk programs as follows: -rwsr-sr-x- root mail 72628 Oct 17 16:57 /usr/bin/mh/inc -rwsr-xr-x- root root 52536 Oct 17 16:57 /usr/bin/mh/msgchk Hal -------

Hi Guys, Here's a simple test case that causes a segfault with the perl bindings patched to enable spelling correction: use strict; use warnings; use Search::Xapian; my $db = Search::Xapian::WritableDatabase->new("test.db", Search::Xapian::DB_CREATE_OR_OPEN); if (!defined($db)) { die("Failed to open xapian_database: $!"); } my $indexer =

Hi, I'm working with the ks.test() function and I have also implemented the test using Conover as the reference. My D value matches that produced by R. However to calculate the p value I am using the code described in Numerical Recipes in C++ (2nd Ed.) pg 631. The p value produced by the NRC code is generally larger than that produced by R by a factor of 10. Currently I am not in a position

Hi, I'm using the ks.test() on two vectors. I looked up the reference and also coded up a version of the two sample Smirnov test. My question is that how can I decide from the output of R that the two vectors x & y come from the same distribution? Am I correct in assuming that smaller D values indicate that they come from the same distribution? In addition how can I use the p value that

Hi Everybody, Here is the first version of my match for an ExternalPostList, it should apply cleanly to 0.9.5 and 0.9.6. You can use it by first implementing an ExternalPostingSource, then creating a new Query object passing a reference an instance of your implementation to the constructor, see query.h. The ExternalPostingSource implementation is reference counted, so when its no

I'm running into a compile problem with commit 131656 of compiler-rt. I'm compiling llvm with: $ CXX='g++ -m32' CC='gcc -m32' CFLAGS=-m32 CXXFLAGS=-m32 LDFLAGS=-m32 ./configure --disable-bindings --{build,host,target}=i686-apple-darwin --enable-targets=x86,x86_64,cbe --enable-optimized $ make $ make install It will eventually error out with:

Hola a todos, Acudo a vosotros después de darle muchas vueltas al tema en Internet y no localizar la solución para algo que creo trivial. Necesito aplicar el test de Quade a un conjunto de datos en el que existe más de una covariable. El ejemplo de dicho test en R es el siguiente: ## Conover (1999, p. 375f): ## Numbers of five brands of a new hand lotion sold in seven stores ## during one week. y

Dear all, I am conducting a full factorial analysis. I have one factor consisting in algorithms, which I consider my treatments, and another factor made of the problems I want to solve. For each problem I obtain a response variable which is stochastic. I replicate the measure of this response value 10 times. When I apply ANOVA the assumptions do not hold, hence I must rely on non parametric

John, thanks for starting (or restarting) this thread.? I'd like to add to the discussion with another concrete example, about as simple as it gets, which may help focus at least part of this discussion. I have worked with Taylor Arnold to implement a method developed in Conover (1972) for Kolmogorov-Smirnov goodness-of-fit tests for discrete distributions (one-sample only).? We needed this

Hi, pchisq -> distribution function dchisq -> density function pval is the area under the curve, to calculte it you use distribution function which is the integral of density function. See: http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm http://mathworld.wolfram.com/DistributionFunction.html f(x) density function F(x) distribution function =Pr(X<x)= integral(f(x))

This posting is for the help-file record in that the problem has already been resolved via a misplaced discussion in the R-bug forum (Bug 14894). I place it here so make it easier for others to find. The problem involved an error in calling "Rscript" from Matlab on Mac OS X 10.6 "Snow Leopard". The "stats" library could not be found. The solution was to set the

Dear R helpers: Thanks for the previous reply. I am using Friedman racing test. According the the book "Pratical Nonprametric Statistic" by WJ Conover, after computing the statistics, he suggested to use chi-squared or F distribution to accept or reject null hypothesis. After looking into the source code, I found that R uses chi-sqaured distribution as below: PVAL <-

In message <Pine.GSO.4.31.0107010731110.7616-100000@auk.stats>, Prof Brian D Ripley <ripley@stats.ox.ac.uk> writes > >You do realize that the Kolmogorov tests (and the Kolmogorov-Smirnov >extension) assume continuous distributions, so the distribution theory >is not valid in this case? > >S-PLUS does stop you doing this: > >> ks.gof(o,

when I compile opus with option --enable-fixed-point for iOS arm64, I got error message “ celt/kiss_fft.c:149:13: error: invalid input constraint 'Uq' in asm" -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xiph.org/pipermail/opus/attachments/20180912/5f7f460f/attachment.html>