bytes | Wrapper types to enable optimized handling | Performance Testing library
kandi X-RAY | bytes Summary
kandi X-RAY | bytes Summary
Wrapper types to enable optimized handling of &[u8] and Vec.
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bytes Key Features
bytes Examples and Code Snippets
def _convert_bytes_to_cc_source(data,
array_name,
max_line_width=80,
include_guard=None,
include_path=None,
def xxd_output_to_bytes(input_cc_file):
"""Converts xxd output C++ source file to bytes (immutable).
Args:
input_cc_file: Full path name to th C++ source file dumped by xxd
Raises:
RuntimeError: If input_cc_file path is invalid.
I
def get_dump_sizes_bytes(self,
node_name,
output_slot,
debug_op,
device_name=None):
"""Get the sizes of the dump files for a debug-dumped
Community Discussions
Trending Discussions on bytes
QUESTION
I am using a company-hosted (Bitbucket) git repository that is accessible via HTTPS. Accessing it (e.g. git fetch
) worked using macOS 11 (Big Sur), but broke after an update to macOS 12 Monterey.
*
After the update of macOS to 12 Monterey my previous git setup broke. Now I am getting the following error message:
...ANSWER
Answered 2021-Nov-02 at 07:12Unfortunately I can't provide you with a fix, but I've found a workaround for that exact same problem (company-hosted bitbucket resulting in exact same error).
I also don't know exactly why the problem occurs, but my best guess would be that the libressl library shipped with Monterey has some sort of problem with specific (?TLSv1.3) certs. This guess is because the brew-installed openssl v1.1 and v3 don't throw that error when executed with /opt/homebrew/opt/openssl/bin/openssl s_client -connect ...:443
To get around that error, I've built git from source built against different openssl and curl implementations:
- install
autoconf
,openssl
andcurl
with brew (I think you can select the openssl lib you like, i.e. v1.1 or v3, I chose v3) - clone git version you like, i.e.
git clone --branch v2.33.1 https://github.com/git/git.git
cd git
make configure
(that is why autoconf is needed)- execute
LDFLAGS="-L/opt/homebrew/opt/openssl@3/lib -L/opt/homebrew/opt/curl/lib" CPPFLAGS="-I/opt/homebrew/opt/openssl@3/include -I/opt/homebrew/opt/curl/include" ./configure --prefix=$HOME/git
(here LDFLAGS and CPPFLAGS include the libs git will be built against, the right flags are emitted by brew on install success of curl and openssl; --prefix is the install directory of git, defaults to/usr/local
but can be changed) make install
- ensure to add the install directory's subfolder
/bin
to the front of your$PATH
to "override" the default git shipped by Monterey - restart terminal
- check that
git version
shows the new version
This should help for now, but as I already said, this is only a workaround, hopefully Apple fixes their libressl fork ASAP.
QUESTION
Whenever I am trying to run the docker images, it is exiting in immediately.
...ANSWER
Answered 2021-Aug-22 at 15:41Since you're already using Docker
, I'd suggest using a multi-stage build. Using a standard docker image like golang
one can build an executable asset which is guaranteed to work with other docker linux images:
QUESTION
Since big-endian and little-endian have to do with byte order, and since one u8
is one byte, wouldn't u8::from_be_bytes
and u8::from_le_bytes
always have the same behavior?
ANSWER
Answered 2022-Feb-01 at 12:11On a byte-level there is no difference. To better understand how Big-endian differs from Little-endian, consider this:
As can be seen, we have three bytes in the example, the bits of each having a different color. Notice how the bits in each byte look exactly the same in both BE and LE.
That is language-agnostic BTW.
As for the Rust functions operating on u8
, Trent explained it very well. My answer focuses more on the part how BE/LE work in general.
QUESTION
Looking into UTF8 decoding performance, I noticed the performance of protobuf's UnsafeProcessor::decodeUtf8
is better than String(byte[] bytes, int offset, int length, Charset charset)
for the following non ascii string: "Quizdeltagerne spiste jordbær med flØde, mens cirkusklovnen"
.
I tried to figure out why, so I copied the relevant code in String
and replaced the array accesses with unsafe array accesses, same as UnsafeProcessor::decodeUtf8
.
Here are the JMH benchmark results:
ANSWER
Answered 2022-Jan-12 at 09:52To measure the branch you are interested in and particularly the scenario when while
loop becomes hot, I've used the following benchmark:
QUESTION
I have a Python 3 application running on CentOS Linux 7.7 executing SSH commands against remote hosts. It works properly but today I encountered an odd error executing a command against a "new" remote server (server based on RHEL 6.10):
encountered RSA key, expected OPENSSH key
Executing the same command from the system shell (using the same private key of course) works perfectly fine.
On the remote server I discovered in /var/log/secure
that when SSH connection and commands are issued from the source server with Python (using Paramiko) sshd complains about unsupported public key algorithm:
userauth_pubkey: unsupported public key algorithm: rsa-sha2-512
Note that target servers with higher RHEL/CentOS like 7.x don't encounter the issue.
It seems like Paramiko picks/offers the wrong algorithm when negotiating with the remote server when on the contrary SSH shell performs the negotiation properly in the context of this "old" target server. How to get the Python program to work as expected?
Python code
...ANSWER
Answered 2022-Jan-13 at 14:49Imo, it's a bug in Paramiko. It does not handle correctly absence of server-sig-algs
extension on the server side.
Try disabling rsa-sha2-*
on Paramiko side altogether:
QUESTION
I'm using a string Encryption/Decryption class similar to the one provided here as a solution.
This worked well for me in .Net 5.
Now I wanted to update my project to .Net 6.
When using .Net 6, the decrypted string does get cut off a certain point depending on the length of the input string.
▶️ To make it easy to debug/reproduce my issue, I created a public repro Repository here.
- The encryption code is on purpose in a Standard 2.0 Project.
- Referencing this project are both a .Net 6 as well as a .Net 5 Console project.
Both are calling the encryption methods with the exact same input of "12345678901234567890"
with the path phrase of "nzv86ri4H2qYHqc&m6rL"
.
.Net 5 output: "12345678901234567890"
.Net 6 output: "1234567890123456"
The difference in length is 4
.
I also looked at the breaking changes for .Net 6, but could not find something which guided me to a solution.
I'm glad for any suggestions regarding my issue, thanks!
Encryption Class
...ANSWER
Answered 2021-Nov-10 at 10:25The reason is this breaking change:
DeflateStream, GZipStream, and CryptoStream diverged from typical Stream.Read and Stream.ReadAsync behavior in two ways:
They didn't complete the read operation until either the buffer passed to the read operation was completely filled or the end of the stream was reached.
And the new behaviour is:
Starting in .NET 6, when Stream.Read or Stream.ReadAsync is called on one of the affected stream types with a buffer of length N, the operation completes when:
At least one byte has been read from the stream, or The underlying stream they wrap returns 0 from a call to its read, indicating no more data is available.
In your case you are affected because of this code in Decrypt
method:
QUESTION
I just downloaded activiti-app from github.com/Activiti/Activiti/releases/download/activiti-6.0.0/…
and deployed in tomcat9, but I have this errors when init the app:
ANSWER
Answered 2021-Dec-16 at 09:41Your title says you are using Java 9. With Activiti 6 you will have to use JDK 1.8 (Java 8).
QUESTION
In this programming problem, the input is an n
×m
integer matrix. Typically, n
≈ 105 and m
≈ 10. The official solution (1606D, Tutorial) is quite imperative: it involves some matrix manipulation, precomputation and aggregation. For fun, I took it as an STUArray implementation exercise.
I have managed to implement it using STUArray, but still the program takes way more memory than permitted (256MB). Even when run locally, the maximum resident set size is >400 MB. On profiling, reading from stdin seems to be dominating the memory footprint:
Functions readv
and readv.readInt
, responsible for parsing integers and saving them into a 2D list, are taking around 50-70 MB, as opposed to around 16 MB = (106 integers) × (8 bytes per integer + 8 bytes per link).
Is there a hope I can get the total memory below 256 MB? I'm already using Text
package for input. Maybe I should avoid lists altogether and directly read integers from stdin to the array. How can we do that? Or, is the issue elsewhere?
ANSWER
Answered 2021-Dec-05 at 11:40Contrary to common belief Haskell is quite friendly with respect to problems like that. The real issue is that the array
library that comes with GHC is total garbage. Another big problem is that everyone is taught in Haskell to use lists where arrays should be used instead, which is usually one of the major sources of slow code and memory bloated programs. So, it is not surprising that GC takes a long time, it is because there is way too much stuff being allocation. Here is a run on the supplied input for the solution provided below:
QUESTION
For my research I need to cURL the fqdns and get their status codes. (For Http, Https services) But some http urls open as https although it returns 200 with cURL. (successful request, no redirect)
...ANSWER
Answered 2021-Nov-25 at 07:41curl -w '%{response_code}\n' -so /dev/null $URL
QUESTION
Ran the following in Visual Studio 2022 in release mode:
...ANSWER
Answered 2021-Nov-19 at 15:51TL;DR: unfortunate combination of backward compatibility and ABI compatibility issues makes std::mutex
bad until the next ABI break. OTOH, std::shared_mutex
is good.
A decent implementation of std::mutex
would try to use an atomic operation to acquire the lock, if busy, possibly would try spinning in a read loop (with some pause
on x86), and ultimately will resort to OS wait.
There are a couple of ways to implement such std::mutex
:
- Directly delegate to corresponding OS APIs that do all of above.
- Do spinning and atomic thing on its own, call OS APIs only for OS wait.
Sure, the first way is easier to implement, more friendly to debug, more robust. So it appears to be the way to go. The candidate APIs are:
CRITICAL_SECTION
APIs. A recursive mutex, that is lacking static initializer and needs explicit destructionSRWLOCK
. A non-recursive shared mutex that has static initializer and doesn't need explicit destructionWaitOnAddress
. An API to wait on particular variable to be changed, similar to Linuxfutex
.
These primitives have OS version requirements:
CRITICAL_SECTION
existed since I think Windows 95, thoughTryEnterCriticalSection
was not present in Windows 9x, but the ability to useCRITICAL_SECTION
withCONDITION_VARIABLE
was added since Windows Vista, withCONDITION_VARIABLE
itself.SRWLOCK
exists since Windows Vista, butTryAcquireSRWLockExclusive
exists since Windows 7, so it can only directly implementstd::mutex
starting in Windows 7.WaitOnAddress
was added since Windows 8.
By the time when std::mutex
was added, Windows XP support by Visual Studio C++ library was needed, so it was implemented using doing things on its own. In fact, std::mutex
and other sync stuff was delegated to ConCRT (Concurrency Runtime)
For Visual Studio 2015, the implementation was switched to use the best available mechanism, that is SRWLOCK
starting in Windows 7, and CRITICAL_SECTION
stating in Windows Vista. ConCRT turned out to be not the best mechanism, but it still was used for Windows XP and 2003. The polymorphism was implemented by making placement new of classes with virtual functions into a buffer provided by std::mutex
and other primitives.
Note that this implementation breaks the requirement for std::mutex
to be constexpr
, because of runtime detection, placement new, and inability of pre-Window 7 implementation to have only static initializer.
As time passed support of Windows XP was finally dropped in VS 2019, and support of Windows Vista was dropped in VS 2022, the change is made to avoid ConCRT usage, the change is planned to avoid even runtime detection of SRWLOCK (disclosure: I've contributed these PRs). Still due to ABI compatibility for VS 2015 though VS 2022 it is not possible to simplify std::mutex
implementation to avoid all this putting classes with virtual functions.
What is more sad, though SRWLOCK
has static initializer, the said compatibility prevents from having constexpr
mutex: we have to placement new the implementation there. It is not possible to avoid placement new, and make an implementation to construct right inside std::mutex
, because std::mutex
has to be standard layout class (see Why is std::mutex a standard-layout class?).
So the size overhead comes from the size of ConCRT mutex.
And the runtime overhead comes from the chain of call:
- library function call to get to the standard library implementation
- virtual function call to get to
SRWLOCK
-based implementation - finally Windows API call.
Virtual function call is more expensive than usually due to standard library DLLs being built with /guard:cf
.
Some part of the runtime overhead is due to std::mutex
fills in ownership count and locked thread. Even though this information is not required for SRWLOCK
. It is due to shared internal structure with recursive_mutex
. The extra information may be helpful for debugging, but it does take time to fill it in.
std::shared_mutex
was designed to support only systems starting Windows 7. So it uses SRWLOCK
directly.
The size of std::shared_mutex
is the size of SRWLOCK
. SRWLOCK
has the same size as a pointer (though internally it is not a pointer).
It still involves some avoidable overhead: it calls C++ runtime library, just to call Windows API, instead of calling Windows API directly. This looks fixable with the next ABI, though.
std::shared_mutex
constructor could be constexpr, as SRWLOCK
does not need dynamic initializer, but the standard prohibits voluntary adding constexpr
to the standard classes.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bytes
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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