leaktest | Goroutine Leak Detector
kandi X-RAY | leaktest Summary
kandi X-RAY | leaktest Summary
Refactored, tested variant of the goroutine leak detector found in both net/http tests and the cockroachdb source tree. Takes a snapshot of running goroutines at the start of a test, and at the end - compares the two and voila. Ignores runtime/sys goroutines. Doesn't play nice with t.Parallel() right now, but there are plans to do so.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of leaktest
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QUESTION
I'm trying to make an event listener to subscribe to a tick (price) event from a FX trading application, using Python. The original application is a native 32-bit Windows app called MetaTrader4. This does not have any API, so the mtapi bridge has been designed in .NET to allow other programming languages to interact with it. The application has some events defined, two of which are: QuoteUpdate
and QuoteUpdated
.
So I would like to write a listener (delegate?) using python.net to subscribe to this event. But since I am not able to understand how the .NET code is producing these events, and neither how to properly use pythonnet, I have not been able to get this to work. I also keep running into the error:
TypeError: 'EventBinding' object is not callable
Googling this doesn't return anything useful, apart this "FIXME" comment.
Here's is my code:
...ANSWER
Answered 2020-Nov-25 at 20:04According to the mtapi documentation you linked, the code should be:
QUESTION
I found writing huge amount of data to Realm in iOS causes out of memory and crash. After days of investigation, I found that Realm does not release unused objects in a List. I ran the following example:
...ANSWER
Answered 2020-Jan-11 at 16:38We find that establishing the object in realm and then appending to that object in smaller chunks seems to not only help with in-memory issues but also significantly reduces the file size.
Our project had to read and process files that were 50Gb+ and we found that writing about 1000 objects at a time seemed to be the balance point between speed, file size and memory. Your milage may vary.
I refactored your code and added a couple of for loops to show what's going on but try this out and see if the memory footprint is better by comparison.
This writes 10 total items in smaller chunks which, as mentioned in my comment, reduces the overall file size. for your example the outside loop would be 40 and the inside would be 1000.
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