zunit | A powerful testing framework for ZSH projects | Unit Testing library

by zunit-zsh Shell Version: v0.8.2 License: MIT

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kandi X-RAY | zunit Summary

zunit is a Shell library typically used in Testing, Unit Testing applications. zunit has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

ZUnit is a powerful unit testing framework for ZSH.

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zunit has a low active ecosystem.

It has 142 star(s) with 17 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 39 have been closed. On average issues are closed in 78 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of zunit is v0.8.2

Quality

zunit has no bugs reported.

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zunit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

zunit is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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zunit releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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Community Discussions

Trending Discussions on zunit

How to convert raster ASCII file to a dataframe of lat longs in R?

Keeping raster variable names when converting to NetCDF using R

Writing R raster stack to NetCDF

writeRaster to NETCDF parallelisation R

QUESTION

How to convert raster ASCII file to a dataframe of lat longs in R?

Asked 2020-Mar-20 at 22:47

I'm trying to use the NASA population density dataset which comes in an ASCII raster format. I'm trying to convert this file into a list of lat longs that looks like this:

...

ANSWER

Answered 2020-Mar-20 at 22:47

You can use raster::rasterToPoints

Source https://stackoverflow.com/questions/60782312

QUESTION

Keeping raster variable names when converting to NetCDF using R

Asked 2018-May-06 at 21:30

Taking a raster file of monthly temperature data for multiple years which has a name attached accessible via names(object) in the following format 'Jan.1981', 'Feb.1981' etc (example files for two years that works with code below here - adding all files makes it too big.

Reading in and writing this to NetCDF using the following code:

...

ANSWER

Answered 2018-May-06 at 21:30

There are a couple of misconceptions in your example. First, you should realize that the values in a netcdf dimension must be numeric. They are not just labels for layers, they are actual values of that dimension, and cannot therefore take values like "Jan.1980", which is a string. One way around this is to save your netcdf file and then add the z dimension values to it as a numeric value. Unfortunately that means we can't use date/time variable types either, but must first convert them to numeric equivalents. Here I use the lubridate package to do that.

Source https://stackoverflow.com/questions/50120137

QUESTION

Writing R raster stack to NetCDF

Asked 2018-Apr-26 at 07:38

I've got an R grid file containing monthly temperature data for the year 1981 which I read in and tried to write to NetCDF using the following code:

...

ANSWER

Answered 2018-Apr-25 at 17:56

As dww pointed out, to get all layers, this

Source https://stackoverflow.com/questions/50026442

QUESTION

writeRaster to NETCDF parallelisation R

Asked 2017-Apr-07 at 06:51

I have a large rasterstack (s) with the following details:

...

ANSWER

Answered 2017-Apr-07 at 06:51

You can try this code, but I did not really tested it on a big dataset. And I did not tested the ncecat part... I'll update it later, but you can try in the meantime.

Source https://stackoverflow.com/questions/43243611

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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WARNING: Although the majority of ZUnit's functionality works as expected, it is in the early stages of development, and as such bugs are likely to be present. Please continue with caution, and report any issues you may have.