serial | Go package to allow you to read and write from the serial | Wrapper library
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QUESTION
I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:
...
ANSWER
Answered 2021-Aug-26 at 14:53I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.
QUESTION
I am getting an error when trying to save a model with data augmentation layers with Tensorflow version 2.7.0.
Here is the code of data augmentation:
...ANSWER
Answered 2022-Feb-04 at 17:25This seems to be a bug in Tensorflow 2.7 when using model.save
combined with the parameter save_format="tf"
, which is set by default. The layers RandomFlip
, RandomRotation
, RandomZoom
, and RandomContrast
are causing the problems, since they are not serializable. Interestingly, the Rescaling
layer can be saved without any problems. A workaround would be to simply save your model with the older Keras H5 format model.save("test", save_format='h5')
:
QUESTION
I found a source describing that the default gc used changes depending on the available resources. It seems that the jvm uses either g1gc or serial gc dependnig on hardware and os.
The serial collector is selected by default on certain hardware and operating system configurations
Can someone point out a more detailed source on what the specific criteria is and how that would apply in a dockerized/kubernetes enivronment. In other words:
Could setting resource requests of the pod in k8s to eg. 1500 mCpu make the jvm use serial gc and changing to 2 Cpu change the default gc to g1gc? Do the limits on when which gc is used change depending on jvm version (11 vs 17)?
...ANSWER
Answered 2022-Jan-11 at 10:24In JDK 11 and 17 Serial
collector is used when there is only one CPU available. Otherwise G1
is selected
If you limit the number of CPUS available to your container, JVM selects Serial
instead of the defaultG1
QUESTION
I'm using MediatR
to do Request - Response logging in my application using IPipelineBehavior
Code Sample:
...ANSWER
Answered 2022-Jan-10 at 14:57You need to specify the type of your TRequest
parameter in your abstract class as well. It has to be at least specific as the parameter in the interface you're trying to implement.
QUESTION
I'm build Django app, and it's work fine on my machine, but when I run inside docker container it's rest framework keep crashing, but when I comment any connection with rest framework it's work fine.
- My machine: Kali Linux 2021.3
- docker machine: Raspberry Pi 4 4gb
- docker container image: python:rc-alpine3.14
- python version on my machine: Python 3.9.7
- python version on container: Python 3.10.0rc2
error output:
...ANSWER
Answered 2022-Jan-07 at 19:13You can downgrade your Python version. That should solve your problem; if not, use collections.abc.Mapping
instead of the deprecated collections.Mapping
.
Refer here: Link
QUESTION
There are lots of data coming from multiple sources that I need to group based on priority, but the data quality from those sources is different - they may be missing some data. The task is to group that data into a separate table, in as complete as possible way.
For example:
...ANSWER
Answered 2021-Dec-22 at 19:23you can use window function first_value
:
QUESTION
I'm trying to test an API endpoint with a patch request to ensure it works.
I'm using APILiveServerTestCase
but can't seem to get the permissions required to patch the item. I created one user (adminuser
) who is a superadmin with access to everything and all permissions.
My test case looks like this:
...ANSWER
Answered 2021-Dec-11 at 07:34The test you have written is also testing the Django framework logic (ie: Django admin login). I recommend testing your own functionality, which occurs after login to the Django admin. Django's testing framework offers a helper for logging into the admin, client.login
. This allows you to focus on testing your own business logic/not need to maintain internal django authentication business logic tests, which may change release to release.
QUESTION
I'm trying to figure something out here
I have a 'sequence' to be executed via a serial port (on an RPI).
I have an supervisored PHP command in Laravel running that connects to a MQTT broker.
When I send a message to that broker, the RPI picks it up and processes it. Now, I have a moment in which I wait for user interaction. The issue here is, sometimes the user does not interact with the system and the PI keeps "waiting" for serial data. When a user presses a button, I get serial data, which I can process.
I tried to use a while (true) {}
loop that reads the serial data, but it just stops suddenly. Here is some example code;
ANSWER
Answered 2021-Dec-05 at 12:15If you look at the source of lepiaf\SerialPort you'll find it sets the stream in non blocking mode, however the read method does an infinite loop until it finds the separator. This means it will never return unless the separator is received, and depending on your configuration your script will be killed once the php max execution time is reached. Since the library is very simple the better option is to edit the read method adding a timeout parameter. Edit the file "lepiaf/SerialPort/SerialPort.php", scroll down to the read method (line 107) and change it as follows:
QUESTION
I'm using a program coded in Haskell to which I passed +RTS -N3 -M9G -s -RTS
in order to obtain runtime statistics at the end of the execution. I've occasionally had a result where the productivity is negative. Also, the program ran its task successfully but MUT is zero.
- How come productivity is negative?
- How is it possible for MUT to be zero if the program is completed successfully?
ANSWER
Answered 2021-Nov-19 at 18:31There appears to be something very wrong with the calculated GC CPU time. It's 41010 secs compared to 2737 sec elapsed, which doesn't make sense if you're only running on three capabilities.
This miscalculation means that the calculated MUT CPU time, which is just total CPU time minus INIT, GC, and EXIT time, is actually a large negative number (5073-41010-2 = -35939). This gives a productivity of -35939/5073=-708%. When the MUT seconds are displayed, negative numbers are truncated at zero, to avoid reporting small negative numbers when MUT is very low and there's a clock precision error, which is why the displayed MUT time is 0 instead of -35939.
I don't know why the GC time is so badly miscalculated. My best guess is this. If you're running on Windows, there are known issues with CPU time clock precision, and it's possible that certain unusual patterns of garbage collection timing might result in precision errors occuring in only one direction, slightly overestimating the actual GC time more often than it underestimates it. Over 2.4 million collections (see your GC stats), this difference could accumulate to a huge positive error.
I looked through GitLab issues, and except for the report on general Windows CPU time imprecision and a couple of probably unrelated negative MUT reports here and here, I didn't see anything helpful.
QUESTION
I am finding a problem with Newtonsoft.Json
library throwing a
ANSWER
Answered 2021-Oct-01 at 16:29Just use the version that MassTransit depends upon, which is much earlier than v13. Upgrading past that without the proper assembly redirects is likely causing your issue.
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