unlock | Ʉnlock is a protocol for memberships built on a blockchain | Cryptocurrency library
kandi X-RAY | unlock Summary
kandi X-RAY | unlock Summary
This repository includes all the code deployed by Unlock, including smart contracts and the web app running at unlock-protocol.com. Unlock is a membership protocol, built on a blockchain. It enables creators to monetize their content or software without relying on a middleman. It lets consumers manage all of their subscriptions in a consistent way, as well as earn discounts when they share the best content and applications they use. Read more about why we're building Unlock.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of unlock
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Lines of Code : 20License : Permissive (MIT License)
Copyasync function unlock(packages: Array) {
let promises = [];
for (let pkg of packages) {
let name = pkg.config.getName();
let promise = npm.infoAllow404(name).then(response => {
if (response.published) {
let pkgInfo = res public void unlock(String key) {
LockWrapper lockWrapper = locks.get(key);
lockWrapper.lock.unlock();
if (lockWrapper.removeThreadFromQueue() == 0) {
// NB : We pass in the specific value to remove to handle the c def unlock_living_room(current_room):
if current_room == living_room:
print("You unlock the door.")
current_room.locked["east"] = False
else:
print("There is nothing to unlock here.") Community Discussions
Trending Discussions on unlock
QUESTION
I'm developing an app where users can create routines and set reminders for these routines.
I use alarms scheduled by AlarmManager and a BroadcastReceiver to call a foregroud service that sends a notification by using the notification manager. Here's some code:
...ANSWER
Answered 2022-Mar-31 at 07:49You should check the specifications of the device that is laggy and monitor RAM and CPU usage of the device, before, after and during your app runtime, speatially the RAM usage, maybe Android 30 is putting too much pressure on device and that is causing the issue.
In General the issue that are seen on some devices and not on another are caused ether by the difference between Android Versions and their resource handling methods or bottleneck between Hardware and Software on same OS version on different devices.
You can monitor device resource usage ether by Android Studio's own resource monitor tool "Android Profiler" or third party Resource Monitoring Apps found on Google Play.
If there is a process or function in your App that causing the resource leak you can fix it easily by detecting it from android profiler but if the issue is caused by OS Resource handling or Hardware and Software bottleneck you should skip that device.
QUESTION
What specific syntax or configuration changes must be made in order to resolve the error below in which terraform is failing to create an instance of azuread_application?
THE CODE:
The terraform code that is triggering the error when terraform apply is run is as follows:
ANSWER
Answered 2021-Oct-07 at 18:35This was a bug, reported as GitHub issue:
The resolution to the problem in the OP is to upgrade the version from 2.5.0 to 2.6.0 in the required_providers block from the code in the OP above as follows:
QUESTION
I have a server to handle events, this server has a mutex lock and a events table(map structure). When the server receives a new event, it will acquire lock to prevent data race, store this event in the events table, and start a goroutine to monitor this event has done. If I run the program with -race flag, it will output data race.
ANSWER
Answered 2022-Feb-26 at 03:47As per the comments your code attempts to read and write to a map simultaneously and, as per the go 1.6 release notes:
if one goroutine is writing to a map, no other goroutine should be reading or writing the map concurrently
Looking at your code there appears to be no need for this. You can create the channels in advance; after they are created you are only reading from the map so there is no issue:
QUESTION
There isn't a Genera topic on stackoverflow, but I thought I'd take the chance that one of the (probably) 5 people in the world using it might be here; no harm in trying.
I've run into the situation where a few of the systems I'm working with use pretty printing, which is not implemented on Genera. I've managed to work around the problem in my own system by using the predecessor of pretty printing, XP. Looking at the code in xp-code.lisp and comparing it to that in CCL, it's clear where CCL got its pretty printing functions from.
One solution, now proving inadequate, is to have a top-level eval that does an (xp::install :package my-package) and resume from the redefinition warnings. The problem is that when one of the third-party systems is compiled, they too complain about pretty printing features that are not implemented, so I'd have to install XP in each of these other packages that want pretty printing.
What really needs to happen is for XP to be installed in the common-lisp package, because all of these other systems are going to :use :cl and expect to have a fully functional pretty printing system.
That's not so easy though; the CL package is locked and each XP symbol requires multiple confirms, and a type 'yes', to get it into the CL package. The documentation for External-only Packages and Locking suggests that:
To set up an external-only package, it can be temporarily unlocked and then the desired set of symbols interned in it
but no where does it say how to unlock a package, and the Document Examiner isn't turning up much.
I also have to stop and wonder if I'm barking up the wrong tree. XP was written with Genera in mind, and there are conditionalisations in the code for the platform. It shouldn't be so hard to install using the install function; and I wonder if I'm missing something obvious.
Does anyone out there know how to unlock the CL package, or the proper way install XP in Genera? The included instructions for XP appear to be out of date.
ANSWER
Answered 2022-Feb-22 at 10:55I figured it out:
QUESTION
I have one old Azure Functions project (v3). It contains several timer triggered functions. They stopped working on VS2022. You can see the logs below. If I create a new Functions project via VS2022, it will work fine. Looks like Azurite also starts up fine. Setting "AzureWebJobsStorage" equals "UseDevelopmentStorage=true". What can I do?
...ANSWER
Answered 2022-Jan-06 at 12:33Created the Azure Functions v3 Project in Visual Studio 2019 along with the azurite extension to the project and running locally:
Same Code opened in VS 2022 and run the function locally:
As given in the Microsoft Documentation, Azurite is automatically available with the VS 2022.
When you open the Azure Functions v3 project (earlier created in VS 2019) in VS 2022 now, it might show this messages in the output dialog box after loading the dependencies:
Still, the Azure Storage Emulator is required to run any azure functions project in the Windows, it needs to be installed in the system.
Make sure the Azure Storage Emulator is installed and the azurite is a future storage emulator platform included with VS 2022. If you're using earlier Visual Studio, you'll need to install Azurite by using either Node Package Manager, DockerHub, or by cloning the Azurite github repository given in the following documentation.
QUESTION
// spinlockAcquireRelease.cpp
#include
#include
class Spinlock{
std::atomic_flag flag;
public:
Spinlock(): flag(ATOMIC_FLAG_INIT) {}
void lock(){
while(flag.test_and_set(std::memory_order_acquire) ); // line 12
}
void unlock(){
flag.clear(std::memory_order_release);
}
};
Spinlock spin;
void workOnResource(){
spin.lock();
// shared resource
spin.unlock();
}
int main(){
std::thread t(workOnResource);
std::thread t2(workOnResource);
t.join();
t2.join();
}
ANSWER
Answered 2022-Jan-12 at 22:30std::memory_order_acq_rel is not required.
Mutex synchronization is between 2 threads.. one releasing the data and another acquiring it.
As such, it is irrelevant for other threads to perform a release or acquire operation.
Perhaps it is more intuitive (and efficient) if the acquire is handled by a standalone fence:
QUESTION
ANSWER
Answered 2022-Jan-30 at 15:44wait's documentation says (emphasis added):
QUESTION
Here is a basic Spinlock implemented with std::atomic_flag.
The author of the book claims that second while in the lock() boosts performance.
ANSWER
Answered 2022-Jan-28 at 05:13Reading a memory address does not clear the cache line.
Writing does.
So in a modern computer, there is RAM, and there are multiple layers of cache "around" the CPU (they are called L1, L2 and L3 cache, but the important part is that they are layers, and the CPU is at the middle). In a multi-core system, often the outer layers are shared; the innermost layer is usually not, and is specific to a given CPU.
Clearing the cache line means informing every other cache holding this memory "the data you own may be stale, throw it out".
Test and set writes true and atomically returns the old value. It clears the cache line, because it writes.
Test does not write. If you have another thread unsynchronized with this one, it reading the cache of this memory doesn't have to be poked.
The outer loop writes true, and exits if it replaced false. The inner loop waits until there is a false visible, then falls to outer loop. The inner loop need not clear every other cpu's cache status of the value of the atomic flag, but the outer has to (as it could change the false to true). As spinning could go on for a while, avoiding continuous cache clearing seems like a good idea.
QUESTION
#include
#include
#include
#include
using namespace std;
const int FLAG1 = 1, FLAG2 = 2, FLAG3 = 3;
int res = 0;
atomic flagger;
void func1()
{
for (int i=1; i<=1000000; i++) {
while (flagger.load(std::memory_order_relaxed) != FLAG1) {}
res++; // maybe a bunch of other code here that don't modify flagger
// code here must not be moved outside the load/store (like mutex lock/unlock)
flagger.store(FLAG2, std::memory_order_relaxed);
}
cout << "Func1 finished\n";
}
void func2()
{
for (int i=1; i<=1000000; i++) {
while (flagger.load(std::memory_order_relaxed) != FLAG2) {}
res++; // same
flagger.store(FLAG3, std::memory_order_relaxed);
}
cout << "Func2 finished\n";
}
void func3() {
for (int i=1; i<=1000000; i++) {
while (flagger.load(std::memory_order_relaxed) != FLAG3) {}
res++; // same
flagger.store(FLAG1, std::memory_order_relaxed);
}
cout << "Func3 finished\n";
}
int main()
{
flagger = FLAG1;
std::thread first(func1);
std::thread second(func2);
std::thread third(func3);
first.join();
second.join();
third.join();
cout << "res = " << res << "\n";
return 0;
}
ANSWER
Answered 2021-Dec-31 at 13:36std::memory_order_relaxed results in no guarantees on the ordering of memory operations except on the atomic itself.
All your res++; operations therefore are data races and your program has undefined behavior.
Example:
QUESTION
I'm trying to use Web Speech API to read text on my web page. But I found that some of the SAPI5 voices installed in my Windows 10 would not show up in the output of speechSynthesis.getVoices(), including the Microsoft Eva Mobile on Windows 10 "unlock"ed by importing a registry file. These voices could work fine in local TTS programs like Balabolka but they just don't show in the browser. Are there any specific rules by which the browser chooses whether to list the voices or not?
ANSWER
Answered 2021-Dec-31 at 08:19OK, I found out what was wrong. I was using Microsoft Edge and it seems that Edge only shows some of Microsoft voices. If I use Firefox, the other installed voices will also show up. So it was Edge's fault.
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