lima | Linux virtual machines typically on macOS | Continuous Deployment library
kandi X-RAY | lima Summary
kandi X-RAY | lima Summary
Lima launches Linux virtual machines with automatic file sharing and port forwarding (similar to WSL2), and containerd. Lima can be considered as a some sort of unofficial "containerd for Mac". Lima is expected to be used on macOS hosts, but can be used on Linux hosts as well. Automatic file sharing. Automatic port forwarding. Built-in support for containerd (Other container engines can be used too). Intel on Intel. ARM on Intel. ARM on ARM. Intel on ARM. Various guest Linux distributions: AlmaLinux, Alpine, Arch Linux, Debian, Fedora, openSUSE, Rocky, Ubuntu (default), ... Related project: sshocker (ssh with file sharing and port forwarding). This project is unrelated to The Lima driver project (driver for ARM Mali GPUs).
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of lima
lima Key Features
lima Examples and Code Snippets
Community Discussions
Trending Discussions on lima
QUESTION
I have a large dataframe made up of 8 different datasets, sample of three with different time zones below. I import the data and then rbind the 8 dataframes into one df. I want to be able to run analysis and ggplot the whole dataset or sections of it keeping the Date_time timezone correct to each area.
I recently found that dataframes in R apparently don't support multiple timezones in one column, so all following df added using rbind take on the timezone of the first data (df$Date_time changes from imported value), I've tried different ways to overcome this issue:
Saving the dataframes as a list, and creating a list of the 8 lists keeps the local time zone correct in listx$Date_time but ggplot doesn't allow plotting from a list, and when i convert back to dataframe the timezones are all changed again.
I created df$tz column to have each time zone in the file and I tried this: solution to create a fixed UTC time but this is a character string df$UTC and I'm not sure how to make R and ggplot plot the data with the correct timezone information.
df$Date remains true to the different timezones because time is stripped, and df$time_ser remains correct as the date is stripped.
Do I need to include a function to calculate the actual local time in every analysis I do as it runs - very time consuming, or is there some other way to do this.
Sample Dataframe 'df' with three time zones:
...ANSWER
Answered 2022-Mar-25 at 11:25I want to be able to run analysis and ggplot the whole dataset or sections of it keeping the Date_time timezone correct to each area.
I'm interpreting this as saying "I want to plot all data in local time", i.e. I want 11am in Auckland to be equivalent to 11am in Lima/Tokyo.
One way to achieve this is to use the lubridate::force_tz function, which changes the time zone of a POSIXct object without adjusting the "time" component.
QUESTION
I have some dataset, lets call it plot_data_lines looking like this:
ANSWER
Answered 2022-Feb-21 at 18:48You can do:
QUESTION
I have a foreach but it only returns the last value and not all the values, what is the problem?
my array
...ANSWER
Answered 2022-Jan-18 at 08:16If we consider your data won't change, and you have 3 entries to get, you can use array_chunk:
QUESTION
String sql = "select CUSTOMER_ID, CITY, CUSTOMER_FIRSTTNAME from LIMA.CHECK_FLOW where CUSTOMER_ID < 1000";
Schema schema = Schema.of(
Schema.Field.of("CUSTOMER_ID", Schema.FieldType.INT32),
Schema.Field.of("CITY", Schema.FieldType.STRING),
Schema.Field.of("CUSTOMER_FIRSTTNAME", Schema.FieldType.STRING)
);
PCollection result = pipe.apply(JdbcIO.readRows()
.withDataSourceConfiguration(configuration)
.withQuery(sql)
.withFetchSize(1000)
).setCoder(RowCoder.of(schema)).setRowSchema(schema);
PipelineResult nRes = pipe.run();
ANSWER
Answered 2021-Dec-09 at 13:00I was facing the same issue and is resolved as part of this pull request.
The release will be out around January 2022. For now, you could apply the changes of this PR into your own project by creating theorg/apache/beam/sdk/io/jdbc/LogicalTypes.java class and copying the contents of this file in? I had the same advice.
QUESTION
Here is a reproducible piece of code that exemplifies my problem.
In short, ggplot is graphing the number of instances in the column variable rather than per variable. What I would like is a bar chart that showed how often Lima, Sucre, and Santiago are each present.
...ANSWER
Answered 2021-Nov-29 at 22:04It looks like when you try to rename the columns in the examples you change all the variables.
If you do this it works fine:
QUESTION
I've been trying to standardize the "Address" field of a table with 400k lines. Problem is, this field was made to be a free form field, meaning that users (upon registering) could just enter anything they wanted into it. I've already managed to split this address field into 14 others with each word of the adress line in order.
Now i need to concatenate some of these fields back together into different fields such as:
- Street Name
- House Number
I wish it could be as easy as grabbing the first 3 fields and calling that the street name and the 4th field as House number but due to different street name lengths, the field with the "house number" is usually fields #4, #5 and rarely ever #3 or #6.
I've already thought of an approach that could work in this case and that would be concatenating these fields in a loop and using the first occurence of a field where its first digit is a number as a break point.(due to some houses being numbered "10C", "1A", "1B" and so on)
Due to not being not very good at PL/SQL, i don't know how to put this idea into code.
All that i've managed to do so far was writing a function to check if a string starts with a digit or not, so it could be used in an IF function.
How can i dynamically "traverse" the fields in a loop using PL/SQL? Would i use an array? Is it even possible?
EDIT: Examples of what this address field contains (in portuguese):
Avenida Doutor Theomário Pinto da Costa 450 Condominio Renaissance, rua 1, casa 1
Rua Álvaro Peres Filho 60 Casa azul em frente ao orelhão
Travessa Delegado Zé Lima 61 antiga Praça Rio Branco
Rua Finlândia 28 Qd 111
Alameda Áustria 107 Condomínio Jardim Europa I
There is a clear pattern in the data, which leads me to believe that this address data was colected in a segmented format, but then concatenated into a single table field. What i need to do is the reverse, basically.
The pattern goes:
...ANSWER
Answered 2021-Nov-23 at 03:27A posible solution:
QUESTION
I have the following working code. I need to add a percentage column to monitor changes. I dont know much on how to do it in pandas. I need ideas on what part needs to be modified.
...ANSWER
Answered 2021-Nov-09 at 18:18Setup:
QUESTION
I am trying to code a sort of YouTube downloader that takes a YouTube video url, uses requests and BeautifulSoup to scrape the download link of that video from an online video downloader.
Website used - https://www.y2mate.com/
Approach: nifty feature of above website that allows the following:
Use https://www.youtubepp.com/ followed by the video link, say https://www.youtube.com/watch?v=dQw4w9WgXcQ.
Doing so takes you to the website, with the YouTube video already entered in the search bar.
This thus allows using this kind of special link in the requests module to extract the required links.
Issues:
Inspecting the download link shows href like so (for 480p download):
DownloadHow do I extract the link from this
href="javascript:void(0)?
I looked into this SO question but it doesnt help me because I cant find the onClick attributeApart from this issue, i ran the following code to extract the html of the page:
...
ANSWER
Answered 2021-Nov-06 at 12:04EDIT: I avoided regex:
QUESTION
(I'm very beggining in programation) I have a Json file containing mockup data looking like so :
...ANSWER
Answered 2021-Oct-07 at 11:45use map function before the so that your row is repeated on each array index. and use the same number as you have in the heading. so that all data will be visible in right column
like this:-
QUESTION
I'm messing around with JSON, and Python.
I'm trying to format a full pretty-print of the 1st-level objects (in this case example1 and example2.) and their sub-objects (2nd and 3rd level). How would I retrieve 2nd-level data stored under echo, and further down the line, how would I retrieve 3rd level data stored under juliett? I know how to perform the necessary printing and format operations but the data retrieval is hard.
I haven't tried to write any code to do this as I am quite new to Python (having started experimenting last week). Help would be appreciated.
Example:
...ANSWER
Answered 2021-Sep-27 at 01:35IIUC, you want the json module:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install lima
Download the binary archive of Lima from https://github.com/lima-vm/lima/releases , and extract it under /usr/local (or somewhere else). For instance:
To install Lima from the source, run make && make install.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
