0-db | Fast write ahead persistent redis protocol key-value store | Key Value Database library
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kandi X-RAY | 0-db Summary
Fast write ahead persistent redis protocol key-value store
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QUESTION
A little description of the flow: I have a flow that is making an HTTP call to a REST Webservice. There are a couple of errors that we get as statusCode=500
but with different "errorCodes"
inside the response body. This request connector is wrapped inside a try block with multiple on-error-continue
based on the content of the response body in its "when" attribute. eg: error.errorMessage.payload.errorCode==CODE_A
. Adding an image and source code of the flow below
ANSWER
Answered 2022-Apr-07 at 12:15You can try using something like this when mocking error for HTTP requests:
Create the following DW file:
httpError.dwl
QUESTION
I don't know what is wrong but suddenly KMeans
from sklearn
is not working anymore and I don't know what I am doing wrong. Has anyone encountered this problem yet or knows how I can fix it?
ANSWER
Answered 2022-Mar-06 at 18:35I started getting the same error recently. It might have had something to do with a macOS upgrade from Sierra to Catalina, but I found that it was having an issue calculating kMeans when n_clusters = 1. In the following code, I changed my range to be 2:10 instead of 1:10, and it started working.
QUESTION
I am trying to extract certain fields about wikidata items from the wikidata dump, but I have a problem with the aliases
field for a certain language, my code is based on the code in the following URL how_to_use_a_wikidata_dump, I made my modification, but the aliases
field returns empty value:
ANSWER
Answered 2021-Dec-05 at 08:42The answer is :
QUESTION
I am trying to train an RNN based off the code here
I also found two similar posts, but was not able to extrapolate from them what I should do to fix my problem here and here
The error is pretty easy to interpret, the model is expecting 3 dimensions, but I am only giving it 1. However, I do not know where to fix the issue. I know that a good stack post is to include data, but I am not sure how to include example tensors in the post. Apologies.
My input are 300d word embeddings and my output are one hot encoded vectors of length 11, where the model makes a classification choice in each of the 11 output dimensions.
I will start with the dataloader then go from there with the code.
...ANSWER
Answered 2021-Sep-08 at 01:58First, you need to wrap your dataset in a proper dataloader, and you can do something like this:
QUESTION
tag content?
I would like to get the content from all
tags on the web-page so I wrote this code:
...ANSWER
Answered 2021-Jun-30 at 06:30You can not do
QUESTION
I am trying to create some persistent space for my Microk8s kubernetes project, but without success so far.
What I've done so far is:
1st. I have created a PV with the following yaml:
...ANSWER
Answered 2021-Jun-03 at 08:43the issue is that you are using the node affinity while creating the PV.
Which think something like you say inform to Kubernetes my disk will attach to this type of node. Due to affinity your disk or PV is attached to one type of specific node only.
when you are deploying the workload or deployment (POD) it's not getting schedule on that specific node and your POD is not getting that PV or PVC.
to resolve this issue
make sure both POD and PVC schedule at same node add the node affinity to deployment also so POD schedule on that node.
or else
Remove the node affinity rule from PV and create a new PV and PVC and use it.
here is the place where you have mentioned the node affinity rule
QUESTION
I am passing the following from my Django back-end to my front-end in order to dynamically build a form :
...ANSWER
Answered 2021-May-23 at 16:53Thanks a lot for your quick input !
As per deceze's answer, I was essentially double parsing both in the back and front end for no reasons.
Removing the json.dumps from the backend allows the JSON object to be passed and managed in the front end without issue.
QUESTION
I am editing a KML file that has info in it like:
...ANSWER
Answered 2021-May-01 at 17:37Qualify dot with a negative lookahead for to restrict searches to within such a tag.
To find the text DB4436
(from your example) use:
QUESTION
I'm trying to send multipart/related
request through postman. But I'm getting error:
ANSWER
Answered 2021-Apr-26 at 15:17From a purely technical point of view the only error I can see is your handling of the multipart structure.
More precisely, you need to skip a line (blank line) between the headers of each part and their body, e.g change the 3 lines :
QUESTION
I am trying to run jupyter notebooks in parallel by starting them from another notebook. I'm using papermill to save the output from the notebooks.
In my scheduler.ipynb I’m using multiprocessing
which is what some people have had success with. I create processes from a base notebook and this seems to always work the 1st time it’s run. I can run 3 notebooks with sleep 10
in 13 seconds. If I have a subsequent cell that attempts to run the exact same thing, the processes that it spawns (multiple notebooks) hang indefinitely. I’ve tried adding code to make sure the spawned processes have exit codes and have completed, even calling terminate on them once they are done- no luck, my 2nd attempt never completes.
If I do:
...ANSWER
Answered 2021-Apr-20 at 15:50Have you tried using the subprocess
module? It seems like a better option for you instead of multiprocessing. It allows you to asynchronously spawn sub-processes that will run in parallel, this can be used to invoke commands and programs as if you were using the shell. I find it really useful to write python scripts instead of bash scripts.
So you could use your main notebook to run your other notebooks as independent sub-processes in parallel with subprocesses.run(your_function_with_papermill)
.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install 0-db
Linux (using epoll), kernel 3.17+, glibc 2.25+
MacOS and FreeBSD (using kqueue)
Any little-endian CPU
x86_64 with SSE4.2
ARMv8 with CRC32 flags (which include Apple M1)
To build the project (library, server, tools):. You can build each parts separatly by running make in each separated directories. By default, the code is compiled in debug mode, in order to use it in production, please use make release.
Type make on the root directory
The binaries will be placed on bin/ directory
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