acai | Açaí is an Application Framework and CLI Tool for Go | Monitoring library

I'm learning Python and tried to make a hanging game (literal translation - don't know the real name of the game in English. Sorry.). For those who aren't familiar with this game, the player must discover a secret word by guessing one letter at a time.

In my code, I get a collection of secret words which is imported from a txt file using the following code:

I have been trying to install clio release.

VM : ubuntu 18.04 16 Cores 32 GB RAM 500 GB Storage.

Command :

bash /home/ubuntu/system-integration/tools/aio_k8s_deployer/aio_k8s_deployer.sh all acai-server ubuntu generic

All most all steps of installation have completed successfully but during "setup-lum", I got below error.

Error:

YAML parse error on lum-helm/templates/deployment.yaml: error converting YAML to JSON: yaml: line 36: mapping values are not allowed in this context

Workaround :

I was able to get away with these error(tested via helm install --dry-run ) by a. removing "resource, affinity and tolerant blocks b. replace "Release.Name" with actual release value( e.g. license-clio-configmap)

but when I run the full installation command, those helms charts are updated again.

Full error :

...

• helm install -f kubernetes/values.yaml --name license-clio --namespace default --debug ./kubernetes/license-usage-manager/lum-helm [debug] Created tunnel using local port: '46109'

[debug] SERVER: "127.0.0.1:46109"

[debug] Original chart version: "" [debug] CHART PATH: /deploy/system-integration/AIO/lum/kubernetes/license-usage-manager/lum-helm

YAML parse error on lum-helm/templates/deployment.yaml: error converting YAML to JSON: yaml: line 36: mapping values are not allowed in this context

Yaml of deployment.yaml

Im developing a website using Html and Css, and I've been trying to center the images inside the slideshow, I've searched all over stack overflow and countless other websites, yet I still couldn't manage to find any solution or answer that uses code similar to the code that I've written.

I have those structures:

I want to ask how to get the json array data that I have created and display it according to the id chosen when clicking on the instructor's photo.

I have an instructor page that contains a list of instructor data, and an instructor's detail page which is a detailed description of the instructor that is clicked from the instructor's page.

I already have json data, but I can't call the data according to id, which looks like all the data is listed. How do I display data according to the index?

The error looks like the image below.

instructor page view

instructor detail page view

this is my instructors.php code

I'd like to add renderMarkdown using the React component in the Bot framework. I am able to add through HTML like below and it's working as expected but my requirement is to add the same feature using the react.

I am trying to add a new column with some values in my dataframe using pandas and have it repeat the same values until it reaches the end of the index:

I have tried:

df['Fruit Type']=['Bananas','Oranges','Strawberries']

it says:

ValueError: length of values does not match length of index

**My index is about 8000 rows long, so there is a mismatch between index and the number of new column values

I want the column to look like:

Fruit Type: Bananas Oranges Strawberries Bananas Oranges Strawberries Bananas Oranges Strawberries

I found a solution after a while:

df.insert(0, 'Fruit Type', ['Bananas', 'Oranges','Strawberries']*int(((len(df))/3)))

The 0 stands for column number, followed by column name, then column values. The *int...takes the index divided by 3 and repeats the values for that amount. Thanks to @acai for the multiplier at the end

I am using Elasticserach 6.8 and I've the following situation: We deployed the elastic service and after a few months we observed that we used the wrong tokenizer, or didn't normalize it, if you will.

We are storing the raw data in the document and also some tokenized values. One way to go would be simply applying the ascii folding filter to achieve something like:

dataframe 1 is