multithreading | Thread Queue | Architecture library
kandi X-RAY | multithreading Summary
kandi X-RAY | multithreading Summary
Thread + Queue
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Top functions reviewed by kandi - BETA
- Download a file
- Mark the task as completed
- Make request
- Request RPC
- Replace characters with a message
- Replace messages with given messages
- Merges default data
- Called when a download is added
- Generator for a given number of seconds
- Request error handler
- Request read timeout
- Log request timeout
- Clear the completed list
- Remove the download result
- Get a list of paused actions
- Run the thread
- Get escape code
multithreading Key Features
multithreading Examples and Code Snippets
Lines of Code : 25License : Permissive (MIT)
Copytask_list = range(1, 3 + 1)
demo = Demo(task_list, threads=3)
# Start
demo.start()
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2
3
demo = Demo(threads=3)
# Start threads
demo.start_threads()
# Adding task to queue
demo.add_task(1)
demo.add_task(2)
demo.add_task(3)
# Wait until queue i import multithreading
class Demo(multithreading.MultiThread):
def task(self, task):
print(task)
$ pip install multithreading
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 public void instanceVariableMultithreading() {
executor.execute(() -> {
while (run) {
// do operation
}
});
run = false;
} import time
import ray
@ray.remote
def function(i):
time.sleep(i)
return i
print('create tasks')
# create tasks
all_tasks = [function.remote(i) for i in range(4)]
print('wait for results')
# run loop to get all results
while afrom threading import Thread
import time
import signal
import os
got_input = False
def countdown(duration):
global got_input
for _ in range(duration):
time.sleep(1)
if got_input:
return
if not got_def analyze(**res):
print(res)
kline = res['k']
if kline['x']: # candle is completed
print('{} start_sleeping {} {}'.format(
datetime.now(),
kline['s'],
datetime.fromtimestamp(kline[with open(filename, mode="r") as csv_file:
def _ssh_(nodeip):
try:
device = {
'device_type': 'cisco',
'ip': X.X.X.X,
'username': username,
'password': pas.
def inn(): # in is restricted name in python
while True:
print(input())
.
.
.
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my 6
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this iss my string
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Community Discussions
Trending Discussions on multithreading
QUESTION
I have read about loader but can anybody explain what is the real use of a loader and why it uses or any real case scenario where loader should be used instead of other multithreading solutions
...ANSWER
Answered 2021-Jun-15 at 10:03Loaders should not be used anymore. It has been deprecated as of Android P (API 28). From the official docs:
Loaders have been deprecated as of Android P (API 28). The recommended option for dealing with loading data while handling the Activity and Fragment lifecycles is to use a combination of ViewModels and LiveData.
But on the Android developers site you can still find a documentation with samples, where it was used.
QUESTION
In this video, he shows how multithreading runs on physical(Intel or AMD) processor cores.
and
All these links basically say:
Python threads cannot take advantage of many physical cores. This is due to an internal implementation detail called the GIL (global interpreter lock) and if we want to utilize multiple physical cores of the CPU
we must use true parallel multiprocessing module
But when I ran this below code on my laptop
...ANSWER
Answered 2021-Jun-15 at 08:06https://docs.python.org/3/library/math.html
The math module consists mostly of thin wrappers around the platform C math library functions.
While python itself can only execute a single instruction at a time, a low level c function that is called by python does not have this limitation.
So it's not python that is using multiple cores but your system's well optimized math library that is wrapped by python's math module.
That basically answers both your questions.
Regarding the usefulness of multiprocessing: It is still useful for those cases, where you're trying to parallelize pure python code or code that does not call libraries that already use multiple cores.
However, it comes with inter process communication (IPC) overhead that may or may not be larger than the performance gain that you get from using multiple cores. Tuning IPC is therefore often crucial for multiprocessing in python.
QUESTION
Hello i have a csv with about 2,5k lines of outlook emails and passwords
The CSV looks like
header:
username, password
content:
test1233@outlook.com,123password1
test1234@outlook.com,123password2
test1235@outlook.com,123password3
test1236@outlook.com,123password4
test1237@outlook.com,123password5
the code allows me to go into the accounts and delete every mail from them, but its taking too long for 2,5k accounts to pass the script so i wanted to make it faster with multithreading.
This is my code:
...ANSWER
Answered 2021-Jun-11 at 19:02This is not necessarily the best way to do it, but the shortest in writitng time. I don't know if you are familiar with python generators, but we will have to use one. the generator will work as a work dispatcher.
QUESTION
I am having trouble understanding how to get simple multi-threading to work in python. Here is a simple script I have written in python that should simultaneously write to two different files:
...ANSWER
Answered 2021-Jun-14 at 04:56Here:
QUESTION
Now i have List of ProductDTO, and Product.
This list can contains 100 objects, and can also contains 1m of objects.
This list i am reading from csv file.
How i am filtering it now:
...ANSWER
Answered 2021-Jun-11 at 11:39I used to construct map and use get on it to avoid filter on loop.
For instance, if you Have N code for 1 product, you can do :
QUESTION
I am new to handling multiprocessing, multithreading etc.. in python.
I am trying to subscribe to multiple Websocket streams from my crypto exchange (API Docs Here), using multiprocessing.
However, when I run the code below, I only receive ticker information, but not order book updates.
How can I fix the code to get both information?
What is the reason that only one websocket seems to be working when it's run on multiprocessing?
(When I run the functions ws_orderBookUpdates() and ws_tickerInfo() separately, without using multiprocessing, it works fine individually so it is not the exchange's problem.)
ANSWER
Answered 2021-Jun-08 at 12:46Update
You have created two daemon processes. They will terminate when all non-daemon processes have terminated, which in this case is the main process, which terminates immediately after creating the daemon processes. You are lucky that even one of the processes has a chance to produce output, but why take chances? Do not use dameon processes. Instead:
QUESTION
I'm trying to import contacts using RunspacePools, but I'm having trouble getting it to work. If I take it out of the runspace logic, it works fine, just takes a long time. I'd really like to use runspacepools to speed up the import process and make it run multithreaded so it imports faster. On avg each import takes about 5-6 mins per user, and I have about 500 users, so it can take up to 3000 mins to run.
Here is what I currently have:
...ANSWER
Answered 2021-Jun-07 at 18:37There is a bunch of code to go through so I'm gonna give you a blueprint of how you can achieve processing all users in $users using ThreadJob.
So, step by step, I'll try to add as much comments as I consider appropriate to guide you through the thought process.
I'm not sure what is the output of your function since I see an | Out-Null at the end of the Invoke-RestMethod. You would need to clarify on this.
QUESTION
I have created StopWatch function for Android app in Kotlin using Timer class. I am using activity?.runOnUiThread to display the time in the App Bar (not in View). Is there any simple way to stop timer and set it back to 0. Is the multithreading necessary?
Here is my function:
...ANSWER
Answered 2021-Jun-03 at 08:30You need to store a resulting TimerTask object and later call cancel() on it. Something like:
QUESTION
I'm working on an application in Windows CVI that needs to run some code for a series of time intervals set by the user via text entry boxes. The boxes include three for how long to run each process, one to show the total time the processes will take, and one to show the time remaining.
My implementation currently is to have a function with static variables to track which process is running and how long is left in the current process, then move on when that time has elapsed. This function triggers on pushing a start button. Unfortunately, the code stops on the click of the start button as it seems to be waiting for the code to finish executing before it allows any further inputs.
Is there a "right" way to do this? Maybe something with multithreading or a pre-built timer application?
...ANSWER
Answered 2021-Jun-01 at 15:22Got an answer here: "You are on the right way speaking about timers: place a timer control on your panel, set it to disabled, put your code in the timer callback and run the program. When the user inputs the required time, set the ATTR_INTERVAL attribute of the timer to this value, next enable the timer with ATRT_ENABLED attribute and you'll have your timed function up and running!"
QUESTION
In python multithreading (https://docs.python.org/3/library/threading.html#threading.Lock.acquire), the acquire allows lock to be non-blocking.
What is the purpose of making a non-blocking lock?
...ANSWER
Answered 2021-Jun-01 at 12:02When invoked with the blocking argument set to False, do not block. If a call with blocking set to True would block, return False immediately; otherwise, set the lock to locked and return True.
This makes it so you can attempt to acquire a lock, and if it is not free, do something else or simply continue execution.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install multithreading
You can use multithreading like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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