Quick | The Swift testing framework | iOS library
kandi X-RAY | Quick Summary
kandi X-RAY | Quick Summary
Over ten-thousand apps use either Quick and Nimble however, as they are not included in the app binary, neither appear in “Top Used Libraries” blog posts. Therefore, it would be greatly appreciated to remind contributors that their efforts are valued by compiling a list of organizations and projects that use them. Does your organization or project use Quick and Nimble? If yes, please add your project to the list.
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Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Quick
Quick Key Features
Quick Examples and Code Snippets
const { program } = require('commander');
program
.option('--first')
.option('-s, --separator ');
program.parse();
const options = program.opts();
const limit = options.first ? 1 : undefined;
console.log(program.args[0].split(options.separator
import discord
class MyClient(discord.Client):
async def on_ready(self):
print('Logged on as', self.user)
async def on_message(self, message):
# don't respond to ourselves
if message.author == self.user:
return
if message.
public void onCreate() {
super.onCreate();
String rootDir = MMKV.initialize(this);
System.out.println("mmkv root: " + rootDir);
//……
}
import com.tencent.mmkv.MMKV;
MMKV kv = MMKV.defaultMMKV();
kv.encode("bool", true);
boole
def quick_sort_lomuto_partition(sorting: list, left: int, right: int) -> None:
"""
A pure Python implementation of quick sort algorithm(in-place)
with Lomuto partition scheme:
https://en.wikipedia.org/wiki/Quicksort#Lomuto_partitio
public void quickRun() {
var eventManager = new EventManager();
try {
// Create an Asynchronous event.
var asyncEventId = eventManager.createAsync(60);
LOGGER.info("Async Event [{}] has been created.", asyncEventId);
public void workaroundMultithreading() {
int[] holder = new int[] { 2 };
Runnable runnable = () -> System.out.println(IntStream
.of(1, 2, 3)
.map(val -> val + holder[0])
.sum());
new Thread
Community Discussions
Trending Discussions on Quick
QUESTION
When I double click the same item or if I go to each composable screen very quickly i receive an error, How do I solve this problem? I tried changing few things but I just can't solve it and I can't find any resources to fix this problem.
Bottom Navigation implementation
...ANSWER
Answered 2022-Mar-06 at 09:39I'm facing the same problem using the latest compose navigation dependency 2.5.0-alpha03
.
I don't know why it's happening.
Philip Dukhov is right, you should report this issue.
Here is a dirty workaround :
QUESTION
How can I escape metacharacters in a Raku regex the way I would with Perl's quotemeta function (\Q..\E
)?
That is, the Perl code
...ANSWER
Answered 2022-Feb-10 at 00:03You can treat characters in a Raku regex literally by surrounding them with quotes (e.g., '.*?'
) or by using using regular variable interpolation (e.g., $substring
inside the regex where $substring
is a string contaning metacharacters).
Thus, to translate the Perl program with \Q...\E
from your question into Raku, you could write:
QUESTION
With the first patch for AS Arctic Fox Jetpack Compose previews stopped working.
I'm getting this error for all previews - even older ones, which worked fine a while back:
...ANSWER
Answered 2022-Feb-24 at 11:36This got fixed in AS Bumblebee, patch 2.
QUESTION
I have a symmetric matrix that I want to randomly shuffle while keeping the diagonal elements unchanged. The rows all sum to 1 and should still sum to 1 after shuffling.
Toy example below:
...ANSWER
Answered 2022-Jan-12 at 13:36One option could be:
QUESTION
Herb Sutter, in his "atomic<> weapons" talk, shows several example uses of atomics, and one of them boils down to following: (video link, timestamped)
A main thread launches several worker threads.
Workers check the stop flag:
...
ANSWER
Answered 2022-Jan-05 at 14:48mo_relaxed
is fine for both load and store of a stop
flag
There's also no meaningful latency benefit to stronger memory orders, even if latency of seeing a change to a keep_running
or exit_now
flag was important.
IDK why Herb thinks stop.store
shouldn't be relaxed; in his talk, his slides have a comment that says // not relaxed
on the assignment, but he doesn't say anything about the store side before moving on to "is it worth it".
Of course, the load runs inside the worker loop, but the store runs only once, and Herb really likes to recommend sticking with SC unless you have a performance reason that truly justifies using something else. I hope that wasn't his only reason; I find that unhelpful when trying to understand what memory order would actually be necessary and why. But anyway, I think either that or a mistake on his part.
The ISO C++ standard doesn't say anything about how soon stores become visible or what might influence that, just Section 6.9.2.3 Forward progress
18. An implementation should ensure that the last value (in modification order) assigned by an atomic or synchronization operation will become visible to all other threads in a finite period of time.
Another thread can loop arbitrarily many times before its load actually sees this store value, even if they're both seq_cst
, assuming there's no other synchronization of any kind between them. Low inter-thread latency is a performance issue, not correctness / formal guarantee.
And non-infinite inter-thread latency is apparently only a "should" QOI (quality of implementation) issue. :P Nothing in the standard suggests that seq_cst
would help on an implementation where store visibility could be delayed indefinitely, although one might guess that could be the case, e.g. on a hypothetical implementation with explicit cache flushes instead of cache coherency. (Although such an implementation is probably not practically usable in terms of performance with CPUs anything like what we have now; every release and/or acquire operation would have to flush the whole cache.)
On real hardware (which uses some form of MESI cache coherency), different memory orders for store or load don't make stores visible sooner in real time, they just control whether later operations can become globally visible while still waiting for the store to commit from the store buffer to L1d cache. (After invalidating any other copies of the line.)
Stronger orders, and barriers, don't make things happen sooner in an absolute sense, they just delay other things until they're allowed to happen relative to the store or load. (This is the case on all real-world CPUs AFAIK; they always try to make stores visible to other cores ASAP anyway, so the store buffer doesn't fill up, and
See also (my similar answers on):
- Does hardware memory barrier make visibility of atomic operations faster in addition to providing necessary guarantees?
- If I don't use fences, how long could it take a core to see another core's writes?
- memory_order_relaxed and visibility
- Thread synchronization: How to guarantee visibility of writes (it's a non-issue on current real hardware)
The second Q&A is about x86 where commit from the store buffer to L1d cache is in program order. That limits how far past a cache-miss store execution can get, and also any possible benefit of putting a release or seq_cst fence after the store to prevent later stores (and loads) from maybe competing for resources. (x86 microarchitectures will do RFO (read for ownership) before stores reach the head of the store buffer, and plain loads normally compete for resources to track RFOs we're waiting for a response to.) But these effects are extremely minor in terms of something like exiting another thread; only very small scale reordering.
because who cares if the thread stops with a slightly bigger delay.
More like, who cares if the thread gets more work done by not making loads/stores after the load wait for the check to complete. (Of course, this work will get discarded if it's in the shadow of a a mis-speculated branch on the load result when we eventually load true
.) The cost of rolling back to a consistent state after a branch mispredict is more or less independent of how much already-executed work had happened beyond the mispredicted branch. And it's a stop
flag so the total amount of wasted work costing cache/memory bandwidth for other CPUs is pretty minimal.
That phrasing makes it sound like an acquire
load or release
store would actually get the the store seen sooner in absolute real time, rather than just relative to other code in this thread. (Which is not the case).
The benefit is more instruction-level and memory-level parallelism across loop iterations when the load produces a false
. And simply avoiding running extra instructions on ISAs where an acquire or especially an SC load needs extra instructions, especially expensive 2-way barrier instructions, not like ARM64 ldapr
.
BTW, Herb is right that the dirty
flag can also be relaxed
, only because of the thread.join
sync between the reader and any possible writer. Otherwise yeah, release / acquire.
But in this case, dirty
only needs to be atomic<>
at all because of possible simultaneous writers all storing the same value, which ISO C++ still deems data-race UB. e.g. because of the theoretical possibility of hardware race-detection that traps on conflicting non-atomic accesses.
QUESTION
Below is a quick and unglamorous solution.
If you have a better one, please include it in your answer.
...ANSWER
Answered 2021-Dec-21 at 17:35Here's my Khristmas tree:
QUESTION
I tried to use shutil
to delete a directory and all contained files, as follows:
ANSWER
Answered 2021-Dec-09 at 22:09QUESTION
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
The undesired functionality
In Chrome 95 there was introduced new functionality where the user can hover and click on the unit part of a css value to hotswap the unit.
The feature is part of a package solution that has been labeled "Length Authoring Tools" in the release notes, and can be seen in action and described in detail in the release notes on the official blog.
How can this feature be disabled?
Issue 1:
If a css-line in the inspector says padding: 0 10px;
then the user can click the px
-part of the line and open a selector that let's the user swap px
to other units such as rem
,vmax
or in
.
Clicking this part of the value no longer lets the user edit the entire value quickly. Most users already know what unit they desire to use beforehand, so they do not need to be helped to accidentally select pt
or vw
when working exclusively with px
everywhere else.
Issue 2:
When selecting and copying properties from the inspector there is now inserted whitespaces/new lines between the value and the unit since the unit portion seems to be considered a separate element. This makes prototyping in the devtools and copy/pasting to external documents very tedious and broken.
ANSWER
Answered 2021-Nov-18 at 14:28Updated answer 2021-11-16:
The following is mentioned in the official release notes for Chrome 96.
To disable Length Authoring Tools, navigate to this location in the DevTools and uncheck the checkbox:
Settings > Experiments > Enable CSS length authoring tools in the Styles pane.
But... The main issues regarding Length Authoring Tools have also been fully remedied in Chrome 96.
The initial incentive to disable these tools has been greatly diminished because of this.
A chevron will now appear to the right of the hovered value instead of reacting to clicks to the entire unit portion of it.
Copy paste now also works as intended.
Conclusion:
It is now possible to disable the Length Authoring Tools, but you might no longer need to.
Old answer:
You can't. (Though fixes are coming!)It is not possible to toggle this feature in the current live stable release ( Chrome 95.0.4638.69 ).
Fixes have been added to Chromium ( [1], [2], [3] ) that are slowly making their way to the stable release of Chrome.
But help is on its way...
Chrome 96 is scheduled to be released on November 16 2021 (source), or ~3 weeks after October 28 according to this official tweet. It will at least contain a revert to free text editing of css properties (source). Hopefully version 96 will address the issue completely, but if it doesn't then the next major release is scheduled for January 4 2021 (If this issue is unresolved by then somebody at Google should be fired).
As for now, Chrome Canary seems to have these fixes implemented and might be considered an alternative solution to the issue if you find the current state of Length Authoring Tools unbearable.
Please be advised that Chrome Canary can be quite unstable.
This question and answer will be edited and corrected once there are real fixes in the live stable version.
QUESTION
I have downloaded the street abbreviations from USPS. Here is the data:
...ANSWER
Answered 2021-Nov-03 at 10:26Here is the benchmarking for the existing to OP's question (borrow test data from @Marek Fiołka but with n <- 10000
)
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