search for: msgpack

...rt for reading and writing > MessagePack in LLVM, and want to propose including it in trunk. > MessagePack is > a binary object serialization format, with the goal of being more > compact than > text formats like JSON or YAML. The specification can be found at > https://github.com/msgpack/msgpack/blob/master/spec.md > > There is no use of the code currently (outside of unit tests), but at > AMD we > are defining our next code object metadata format in terms of > MessagePack, so > patches which use the new format will be coming soon. I wanted to > propose the &gt...

Hi, I''m trying to include the support of Msgpack<https://github.com/msgpack/msgpack-ruby> in Rails 3.2 but when I try to return a mpac response, I get an error concerning a missing template. My renderer: Mime::Type.register ''application/x-mpac'', :mpac ActionController::Renderers.add :mpac do |mpac, options| self.cont...

...d a small patch to add support for reading and writing MessagePack in LLVM, and want to propose including it in trunk. MessagePack is a binary object serialization format, with the goal of being more compact than text formats like JSON or YAML. The specification can be found at https://github.com/msgpack/msgpack/blob/master/spec.md There is no use of the code currently (outside of unit tests), but at AMD we are defining our next code object metadata format in terms of MessagePack, so patches which use the new format will be coming soon. I wanted to propose the addition now before writing depend...

...ally not want to serialize it back and forth as that is slow, > and > may drop precision. The rds format is great for R alone; we now have C > code > to read it from other apps (in the librdata repo by Evan Miller). > Different > portable serializations work too (protocol buffer, msgpack, ...), there are > databases and on and on... ] > > Dirk > > > R> df <- data.frame(replicate(100, runif(1000000, 0,1))) > R> setwd("/tmp") > R> write.csv(df, "temp.csv") > R> system('tail -n1 temp.csv') > "1000000",0...

Hello, I have looked on https://www.r-project.org/bugs.html , but it seems that this is the only way to do it. The issue is that the precision used by write.csv is on consistant for big files. See the following code: First I create a large dataframe filled with random uniform values. Then I write it to .csv and print out the first and last lines. df = data.frame(replicate(100, runif(1000000,

...erally not want to serialize it back and forth as that is slow, and >> may drop precision. The rds format is great for R alone; we now have C code >> to read it from other apps (in the librdata repo by Evan Miller). Different >> portable serializations work too (protocol buffer, msgpack, ...), there are >> databases and on and on... ] >> >> Dirk >> >> >> R> df <- data.frame(replicate(100, runif(1000000, 0,1))) >> R> setwd("/tmp") >> R> write.csv(df, "temp.csv") >> R> system('tail -n1 temp....

...that much data, you do generally not want to serialize it back and forth as that is slow, and may drop precision. The rds format is great for R alone; we now have C code to read it from other apps (in the librdata repo by Evan Miller). Different portable serializations work too (protocol buffer, msgpack, ...), there are databases and on and on... ] Dirk R> df <- data.frame(replicate(100, runif(1000000, 0,1))) R> setwd("/tmp") R> write.csv(df, "temp.csv") R> system('tail -n1 temp.csv') "1000000",0.11496100993827,0.740764639340341,0.51919079548...

...eate a corresponding schema that tracked each metric separately. For true "arbitrarily extensible" data where it doesn't make sense to be present in all samples for a schema, then I envisioned that users would attach additional samples into a BLOB sample field (which could be JSON or MsgPack, etc.) and then build up infrastructure for doing richer (but slow) queries over that data. - Daniel * Quite a few users of LNT only use the server and webui, and use a > different system to produce the test data in the json file format that can > be submitted to the LNT server. Therefore,...

...; you do generally not want to serialize it back and forth as that is slow, and > may drop precision. The rds format is great for R alone; we now have C code > to read it from other apps (in the librdata repo by Evan Miller). Different > portable serializations work too (protocol buffer, msgpack, ...), there are > databases and on and on... ] > > Dirk > > > R> df <- data.frame(replicate(100, runif(1000000, 0,1))) > R> setwd("/tmp") > R> write.csv(df, "temp.csv") > R> system('tail -n1 temp.csv') > "1000000&quot...

> On Wed, Jun 28, 2017 at 8:13 AM, Hal Finkel <hfinkel at anl.gov> wrote: > > I don't object to adding some kind of filtering option, but in general it won't help. An important goal here is to provide analysis (and other) tools to users that present this information at a higher level. The users won't, and shouldn't, know exactly what kinds of messages the tools use.

...it back and forth as that is > slow, and > >> may drop precision. The rds format is great for R alone; we now have C > code > >> to read it from other apps (in the librdata repo by Evan Miller). > Different > >> portable serializations work too (protocol buffer, msgpack, ...), there > are > >> databases and on and on... ] > >> > >> Dirk > >> > >> > >> R> df <- data.frame(replicate(100, runif(1000000, 0,1))) > >> R> setwd("/tmp") > >> R> write.csv(df, "temp.csv&quo...

Greetings everyone, We would like to improve LNT. The following RFC describes two LNT enhancements: * Custom (extensible) metrics * Test parameterization The main idea is in document https://docs.google.com/document/d/1zWWfu_iBQhFaHo73mhqqcL6Z82thHNAoCxaY7BveSf4/edit?usp=sharing. Thanks, Elena. -------------- next part -------------- An HTML attachment was scrubbed... URL:

[ https://www.centos.org/search.php?query=atomicorp&mid=30&action=showall&andor=AND forum search] returns a 404. Can the forum search https://www.centos.org/forums/search.php? be used with parameters that will provide the supporting material for the warning "Many CentOS users have had problems after enabling this repo"? -------------- next part -------------- An HTML