lz4 | Extremely Fast Compression algorithm | Compression library
kandi X-RAY | lz4 Summary
kandi X-RAY | lz4 Summary
You can download and install LZ4 using the [vcpkg] dependency manager:. The LZ4 port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please [create an issue or pull request] on the vcpkg repository. Beyond the C reference source, many contributors have created versions of lz4 in multiple languages (Java, C#, Python, Perl, Ruby, etc.). A list of known source ports is maintained on the [LZ4 Homepage].
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lz4 Examples and Code Snippets
// 1. Create config object
Config config = new Config();
config.useClusterServers()
// use "rediss://" for SSL connection
.addNodeAddress("redis://127.0.0.1:7181");
// or read config from file
config = Config.fromYAML(new File("config-f
Community Discussions
Trending Discussions on lz4
QUESTION
In my application config i have defined the following properties:
...ANSWER
Answered 2022-Feb-16 at 13:12Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location
Can you try to save the properties without the spaces.
Like this:
logging.file.name=application.logs
QUESTION
It's my first Kafka program.
From a kafka_2.13-3.1.0
instance, I created a Kafka topic poids_garmin_brut
and filled it with this csv
:
ANSWER
Answered 2022-Feb-15 at 14:36Following should work.
QUESTION
I have a local python project called jive
that I would like to use in an another project. My current method of using jive
in other projects is to activate the conda env for the project, then move to my jive
directory and use python setup.py install
. This works fine, and when I use conda list
, I see everything installed in the env including jive
, with a note that jive
was installed using pip.
But what I really want is to do this with full conda. When I want to use jive
in another project, I want to just put jive
in that projects environment.yml
.
So I did the following:
- write a simple
meta.yaml
so I could use conda-build to buildjive
locally - build jive with
conda build .
- I looked at the tarball that was produced and it does indeed contain the
jive
source as expected - In my other project, add jive to the dependencies in
environment.yml
, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list
, it lists all the dependencies including jive
, as desired. But when I open python interpreter, I cannot import jive
, it says there is no such package. (If use python setup.py install
, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive
project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5
is only a valid constraint when doing noarch
builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages
(e.g., lib/python-3.10/site-packages/jive
).
Typically, Python versions are controlled by either the --python
argument given to conda-build
or a matrix supplied by the conda_build_config.yaml
file (see documentation on "Build variants").
Try adjusting the meta.yaml
to something like
QUESTION
I install new modules via the following command in my miniconda
...ANSWER
Answered 2022-Jan-06 at 20:11Consider creating a separate environment, e.g.,
QUESTION
I have been learning buffer overflows and i am trying to execute the following command through shellcode /bin/nc -e /bin/sh -nvlp 4455
. Here is my assembly code:
ANSWER
Answered 2021-Dec-29 at 14:12As you can see in strace
, the execve command executes as:
execve("/bin//nc", ["/bin//nc", "/bin//nc-e //bin/bash -nvlp 4455"], NULL) = 0
It seems to be taking the whole /bin//nc-e //bin/bash -nvlp 4455
as a single argument and thus thinks it's a hostname. In order to get around that, the three argv[]
needed for execve()
is pushed seperately.
argv[]=["/bin/nc", "-e/bin/bash", "-nvlp4455"]
These arguments are each pushed into edx, ecx, and ebx. since ebx needs to be /bin/nc, which was already done in the original code. we just needed to push 2nd and 3rd argv[] into ecx and edx and push it into stack. After that we just copy the whole stack into ecx, and then xor edx,edx
to set edx as NULL.
Here is the correct solution:
QUESTION
I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:
...ANSWER
Answered 2021-Dec-12 at 16:12Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda
gcc
as described in the documentation instead of the system gcc
.
QUESTION
Good day
I am getting an error while importing my environment:
...ANSWER
Answered 2021-Dec-03 at 09:22Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to
QUESTION
I have ParNew GC
warnings into system.log
that go over 8
seconds pause :
ANSWER
Answered 2021-Nov-19 at 16:18a. how many rows must fit into memory (at once!) during compaction process ? It is just one, or more ?
It is definitely multiple.
b. while compacting, does each partition is read in decompressed form into memory, or in compressed form ?
The compression only works at the disk level. Before compaction can do anything with it, it needs to decompress and read it.
c. do you think the compaction process in my case could fill up all the heap memory ?
Yes, the compaction process allocates a significant amount of the heap, and running compactions will cause issues with an already stressed heap.
TBH, I see several opportunities for improvement with the GC settings listed. And right now, I think that's where the majority of the problems are. Let's start with the new gen size:
QUESTION
I faced a situation where different order of linking librdkafka and the Pulsar C++ client does matter, because both of them include their version of LZ4 compression. The linking fails because of multiple definitions of LZ4 functions (both librdkafka and Pulsar have the same names for those functions). I checked the static libraries, but I couldn't find anything suspicious, why it works in one order and doesn't in the another. Because it is hard to provide a minimal working example with those big libraries, I tried to reproduce the same situation, and I was able to do so. I created a small project where the linking order matters.
libA.hpp:
...ANSWER
Answered 2021-Nov-11 at 18:48To understand why, read this (earlier) post or this (nicer) one.
To make a concrete example:
- suppose
main.o
definesmain()
,fn()
, and referencesa()
andb()
. libA.a
containsa.o
which definesa()
libB.a
containsb.o
which definesb()
, and alsoa1.o
which definesa()
andfn()
.
Now, if you link with gcc main.o -lA -lB
, the link will succeed (a.o
from libA.a
and b.o
from libB.a
will be selected into the link, and no symbol conflicts will arise. Notably, a1.o
from libB.a
will not be selected into the link).
But if you link with gcc main.o -lB -lA
, then fn()
will be multiply defined (because both a1.o
and b.o
from libB.a
will be selected into the link, but the definition of fn()
in a1.o
will be in conflict with the definition of fn()
in main.o
).
QUESTION
I'm having trouble with ArangoSearch.
Here is some dummy data that I have in a collection called things
(for simplicity I have removed each of their "_id", "_key" and "_rev" properties):
ANSWER
Answered 2021-Nov-11 at 00:40The indexed text
field has text_en
processing applied but you aren't applying it to the search term.
ANALYZER(doc.text == "cookie", "text_en")
The ANALYZER()
function only selects the analyzer for the indexed data here.
Depending on how the analyzer transforms the stored attribute values, there can be a mismatch because of stemming. All of the built-in text analyzers have stemming enabled.
Try RETURN TOKENS("cookie", "text_en")
to see what the analyzer does to the word.
This should find two things:
ANALYZER(doc.text == TOKENS("cookie", "text_en")[0], "text_en")
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