kiwi | KIWI - Appliance Builder Next Generation | Natural Language Processing library
kandi X-RAY | kiwi Summary
kandi X-RAY | kiwi Summary
KIWI - Appliance Builder Next Generation
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Top functions reviewed by kandi - BETA
- Creates the content directory
- Returns a list of preferences sections
- Get the theme theme
- Return a list of profiles
- Run the tool
- Run checks
- Get disabled runtime checks
- Load xml description
- Setup grub2 live image configuration
- Setup the package database configuration
- Umount the build
- Resize image
- Create volumes
- Setup GRUB2 install config file
- Setup mountpoint
- Prepare the boot image
- Setup the disk image configuration
- Run a command
- Execute a command
- Process the delete requests to delete
- Add a repository
- Install grub2 on disk
- Process build results
- Convert oem config to profile
- Convert the image type to a profile
- Process command line arguments
kiwi Key Features
kiwi Examples and Code Snippets
Community Discussions
Trending Discussions on kiwi
QUESTION
This is not a Duplicate question, I spent 3 days searching here and there is no other question similar to mine!
This javascript generates random words only when called from one single div, or the first one when trying different DOM Methods to get Elements.
I've tried several options and combinations with getElementsBy ID, Tag, Name, Class, and CSS Selector.
However after several days searching and testing, I can't make it work in more than one div.
I need to use the same array as the only source for all my 36 divs, to generate random words from an onClick event on each of them.
I'm open to edit it, or completely change it.
This is what I have currently working for the first div using getElementsByClassName which I suppose should be the correct way as I need to call this script from several elements, not just one:
...ANSWER
Answered 2021-Jun-13 at 21:11You can create a loop to add the click handler to all fruits
QUESTION
I'm trying to group the rows of my dataframe into "courses" when the same variables appear at regular date intervals. When there is a gap in time frequency or when one of variables change I would like to give it a new course ID.
To give an example, my data looks something like this:
...ANSWER
Answered 2021-Jun-10 at 16:18Here's a dplyr approach that calculates the gap and rolling avg gap within each Name/Item group, then flags large gaps, and assigns a new group for each large gap or change in Name or Item.
QUESTION
There is a party and each and every person must write the fruit they want and by doing this they are also voting. After that the fruits should be printed and the number of votes(the number of times it appeared).
Sample input
Enter the names of parties (terminated by DONE):
apples
oranges
oranges
oranges
pears
bananas
bananas
kiwis
oranges
apples
oranges
DONE
Sample output
Vote counts:
apples - 2
bananas - 2
kiwis - 1
oranges - 5
pears - 1
...ANSWER
Answered 2021-Jun-10 at 12:55You couldn't import Counter
because you wrote "counter", with a lowercase "C".
in your code, with this line
QUESTION
Let's say we have a example dataframe like below,
...ANSWER
Answered 2021-Jun-08 at 12:42Use DataFrameGroupBy.shift
for shift
per groups:
QUESTION
I want to remove a subset of rows from a Pandas DataFrame
based on a groupby()
inspection.
The primary DataFrame
:
ANSWER
Answered 2021-Jun-08 at 10:47Not sure if this is an elegant solution. Based on this tutorial.
Booth DataFrame
need to have the same index.
QUESTION
I am trying to filter a pandas data frame which has 2 levels of columns header using a list in the fairly standard way of using isin
and a mask to retun a new filtered dataframe. However I keep running into a value error around overlapping index names which I can't seem to solve.
Here are examples, of my list I'd like to filter on, as well as the dataframe itself. Not sure how to provide the code needed to generate this dataframe as it is imported from an csv file.
...ANSWER
Answered 2021-Jun-03 at 21:52Take a look at what df['CODE'].isin(my_list)
produces:
QUESTION
ANSWER
Answered 2021-Jun-02 at 17:42I found out a solution to your problem. Follow below steps
At first Add box
class to every element that lies inside the box that toggle the dropdown
QUESTION
I tried to translate the problem with my real data to example data presented in my question. Maybe I just have a simple technical problem. Or maybe my whole way and workflow is not the best?
The objectivThere are persons (column name
) who have eaten different fruit
's at different day
's. And there is some more data (column foo
and bar
) I do not want to lose.
I want to separate/split the original data, without loosing the additational data (in foo
and bar
).
The condition to separate is the number of unique fruits eaten at the specific days.
That is the initial data
...ANSWER
Answered 2021-Jun-02 at 13:05Use DataFrameGroupBy.nunique
in GroupBy.transform
, so possible filter original DataFrame
:
QUESTION
I want to eliminate the nested loop in my code and I can't seem to figure out the best way to do it. I have explained what I am trying to do below:
I have a dataframe df.
...ANSWER
Answered 2021-Jun-02 at 07:20my approach would be using .explode()
method and pandas.merge()
function.
QUESTION
I hope everyone is doing great.
I do have a question about azure data explorer and logstash.
I followed this Microsoft tutorial to configure a azure data explorer with Kusto and logstash.
https://docs.microsoft.com/en-us/azure/data-explorer/ingest-data-logstash
I created a azure data explorer, created a table for the data. on the other side I pinned up a virtual machine, installed logstash and configured all the minimum required to forward syslogs to azure data explorer.
Everything works just fine and I don't have any problem, but there is one step that is bugging me a bit and would like some clarifications.
I wanted to test this project with real time syslogs coming from my virtual machine.
so I configured conf
file for logstash as follow:
ANSWER
Answered 2021-Jun-01 at 17:56For the 10 minutes it takes to show up in Kusto, this is likely due to the ingestionbatching policy on the table where the default batching period is five minutes. If you want the data to show up faster you can set the MaximumBatchingTimeSpan to less than this, where 10 seconds is the minimum, please note that having too small of a batching window may have an adverse impact on the cluster performance.
I am not sure how the Azure function relates to the scenario can you please clarify?
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