d-operators | Declarative patterns to write kubernetes controllers | Model View Controller library
kandi X-RAY | d-operators Summary
kandi X-RAY | d-operators Summary
Declarative patterns to write kubernetes controllers
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Top functions reviewed by kandi - BETA
- NewResourceListCondition returns a new ResourceListCondition instance
- GetDetailsFromRequest returns detailed information about a sync hook
- NewUtility creates a new Utility instance
- ExecuteAssertAsConditions executes an AssertRequest .
- ExecuteCondition executes the given assertion and returns the response .
- NewNonCustomResourceRunnerWithOptions creates a new Runner with the specified options
- Main entry point .
- NewShellRunner returns a new RunnableShell
- Sync reconciles the cluster
- ExecuteAssertState executes an AssertState and returns the result .
d-operators Key Features
d-operators Examples and Code Snippets
apiVersion: dope.mayadata.io/v1
kind: Recipe
metadata:
name: crud-ops-on-pod
namespace: d-testing
spec:
tasks:
- name: apply-a-namespace
apply:
state:
kind: Namespace
apiVersion: v1
metadata:
name
# Following runs the declarative test suite
#
# NOTE: test/declarative/suite.sh does the following:
# - d-operators' image known as 'dope' is built
# - a docker container is started & acts as the image registry
# - dope image is pushed to this im
Community Discussions
Trending Discussions on d-operators
QUESTION
trying to get the weekday ie "sunday" from a datetime obj in big query using the below:
...ANSWER
Answered 2021-Mar-28 at 00:54use below as an example
QUESTION
I'm using PyTorch to train neural-net and output them into ONNX. I use these models in a Vespa index, which loads ONNXs through TensorRT. I need one-hot-encoding for some features but this is really hard to achieve within the Vespa framework.
Is it possible to embed a one-hot-encoding for some given features inside my ONNX net (e.g. before the network's representation) ? If so, how should I achieve this based on a PyTorch model ?
I already noticed two things:
- ONNX format includes the OneHot operator : see ONNX doc
- PyTorch built-in ONNX exporting system not not support OneHot operator : see torch.onnx doc
EDIT 2021/03/11: Here is my workflow:
- training learning-to-rank models via PyTorch
- exporting them as ONNX
- importing these ONNX into my Vespa index in order to rank any query's results thanks to the ONNX model. Under the hood, Vespa uses TensorRT for inference (so I use Vespa's ONNX model evaluation)
ANSWER
Answered 2021-Mar-10 at 08:27If PyTorch can't export the OneHot operator to ONNX I think your best option is to ask them to fix that?
Or, if you can extract the conversion from your model, such that the one-hot-encoded tensor is an input to your network, you can do that conversion on the Vespa side by writing a function supplying the one-hot tensor by converting the source data to it, e.g
QUESTION
I have the following hook and we use it to bind to channels.
...ANSWER
Answered 2021-Feb-09 at 09:22As @Drew Reese said, you have somewhere a complex logic expression mixing &&
and ||
, and you have configured ESLint to warn you if that happens. You will have to find where that's happening, and add the necessary parenthesis to clarify your intention.
From ESLint docs
QUESTION
Let's say I want to do this:
...ANSWER
Answered 2020-Oct-14 at 10:01Consider using if
:
QUESTION
The context is pretty big project built with ReactJs, based on eslint rules, with this eslint configuration
...ANSWER
Answered 2020-Oct-05 at 05:49Official answer is here
https://github.com/typescript-eslint/typescript-eslint/blob/master/docs/getting-started/linting/FAQ.md#i-get-errors-from-the-no-undef-rule-about-global-variables-not-being-defined-even-though-there-are-no-typescript-errors and it says indeed to add them to globals
or to disable the no-undef
rule because typescript has already its own checks
QUESTION
I need help in understanding this piece of code. What is it doing and what is the type its returning. Possibly break it in smaller chunks to understand.
Why would it join array elements on '.' and then split them using the same dilimentor'.' What type of array is being passed back from search results?
...ANSWER
Answered 2020-Aug-02 at 08:17If we translate what searchResult
does in plain English, I think it will be something like this:
Generate & return an array of objects which length should be between 0 and 5 (including both values).
Objects in array should have this shape:
QUESTION
I recently integrated this hash function into my react web app, here is the code:
...ANSWER
Answered 2020-Jul-18 at 19:18It is not a javascript error but an eslint warning.
See this answer to get rid of the warning.
Code with solution (use parentheses):
QUESTION
I have a problem with STRING_AGG in Bigquery. I'm trying:
...ANSWER
Answered 2020-Jul-14 at 18:36You can easily work around this:
QUESTION
I'm having difficulty even figuring out what to search for here so something of this sort may already have been answered.
I have a list of input strings that may include "expansion" characters. For example, #
expands into each digit: 0123456789
. Let's say I have an input list like this:
ANSWER
Answered 2020-Jul-07 at 01:27I'm not sure why you would think you would get 20 rows for banana. But if you want 20 rows in total, then just use a cross join
:
QUESTION
I have a dataset (new version from my first post here:
...ANSWER
Answered 2020-Jun-11 at 07:50For your first case you can just add unique()
insisde of combn()
to avoid the duplicated words. i.e.
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