yn | Version control | Editor library

by purocean TypeScript Version: v3.54.0 License: AGPL-3.0

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | yn Summary

yn is a TypeScript library typically used in Editor, Vue, Nodejs, Electron, Express.js, Visual Studio Code applications. yn has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

A Hackable Markdown Note Application for Programmers. Version control, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, plug-in, and macro replacement.

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Support

yn has a medium active ecosystem.

It has 4802 star(s) with 801 fork(s). There are 46 watchers for this library.

It had no major release in the last 12 months.

There are 32 open issues and 151 have been closed. On average issues are closed in 33 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of yn is v3.54.0

Quality

yn has no bugs reported.

Security

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

License

yn is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

yn releases are available to install and integrate.

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yn Key Features

No Key Features are available at this moment for yn.

yn Examples and Code Snippets

Generates a Yn timestamp .

javascript

Lines of Code : 1

License : Permissive (MIT License)

Copy

function Yn(t,n){return pn(t.getHours()%12||12,n,2)}

Community Discussions

Trending Discussions on yn

ArrayList not displaying when first referenced in function

Pandas 2 data frames

How do I convert numpy mgrid function as a function?

Flutter error: "CocoaPods not installed or not in valid state."

Python how to store pixels in a set

Overlaying multiple PNG images of different sizes on a canvas using ImageMagick

Python's `.loc` is really slow on selecting subsets of Data

Convert a txt file to dataframe

MetPy interpolate_to_grid function returning unexpected nan based on data domain

Comparing array row-wise so as to generalize argmax function

QUESTION

ArrayList not displaying when first referenced in function

Asked 2022-Mar-31 at 19:25

Facing a couple logistical issues in PowerShell - clearly I'm missing a basic concept:

Setup: Create the menu.ps1 file (shown below), launch PowerShell 7.2.2 and call the file locally.

Issues:

The first time you choose option 1 for the ArrayList ($psArrayList), it does not display (although we see from the initial screen load that the items are populated). If you return to the menu and choose option 1 again, it will display on the second pass. ($psArray does load fine on first try, so is this is a type issue.?)
When the script ends, $psArrayList and $psArray are still in the current session variables, as indicated by: Get-Variable psArray*. Even if I instantiate them with $script:psArrayList = [System.Collections.ArrayList]@() and $script:psArray = @() they seem to stay within the session scope. Is there a "right" way to clear them when the ps1 ends?

menu.ps1 contents:

...

ANSWER

Answered 2022-Mar-31 at 19:25

Regarding the first issue, you would need to use Out-Host or Out-Default so that both outputs (Write-Host together with the arrays) are correctly displayed to the console. See these helpful answers for in depth details on this:

Regarding the second issue, your End-Script function would have a scope issue, Remove-Variable is trying to remove variables defined inside the function's scope (Local), if you want to target the variables defined outside it (Script), you would need to use the -Scope parameter, for example:

Source https://stackoverflow.com/questions/71695613

QUESTION

Pandas 2 data frames

Asked 2022-Mar-27 at 18:38

I have 2 data frames as below:

...

ANSWER

Answered 2022-Mar-27 at 18:28

You can merge to craft a Series, then use it to combine_first on Col_7:

Source https://stackoverflow.com/questions/71639087

QUESTION

How do I convert numpy mgrid function as a function?

Asked 2022-Mar-23 at 06:23

Here is the way how numpy.mgrid is used.

...

ANSWER

Answered 2022-Mar-23 at 01:21

Just loop over each item passed to f and make a slice out of it with slice, and to get 100j from 100, multiply 100 by 1j:

Source https://stackoverflow.com/questions/71580728

QUESTION

Flutter error: "CocoaPods not installed or not in valid state."

Asked 2022-Feb-09 at 23:36

Could the problem be that Android Studio can't find the path to CocoaPods?

I'm trying to test my app on my iPhone from Android Studio. The error I get is

...

ANSWER

Answered 2022-Jan-31 at 17:27

A response on IssueTracker says

This problem is present with Android Studio Bumblebee on Mac. Launching flutter from the IDE causes this issue where it can't find the Cocoapods path.

Forced to run flutter from terminal for it to work.

Here's how run your project from the CLI on the iOS simulator. cd into your project directory and run:

Source https://stackoverflow.com/questions/70887087

QUESTION

Python how to store pixels in a set

Asked 2021-Dec-21 at 06:14

I meet such an issue: I want to store a number of 2-D pixels like [2,3], [4,5], and [7,9] into a set like ([2,3], [4,5], [7,9]). So that we know if a pixel is processed.

My code is like:

...

ANSWER

Answered 2021-Dec-21 at 05:50

Tuple always needs a comma even if you do not want to store more than two things:

Source https://stackoverflow.com/questions/70431129

QUESTION

Overlaying multiple PNG images of different sizes on a canvas using ImageMagick

Asked 2021-Dec-19 at 16:55

I want to overlay multiple PNG images of different sizes on a transparent canvas using ImageMagick. First I create a transparent canvas of some fixed size, say like

...

ANSWER

Answered 2021-Dec-19 at 16:55

I really wouldn't recommend shelling out subprocesses from Python to call ImageMagick thousands of times. You'll just end up including too much process creation overhead per image, which is pointless if you are already running Python which can do the image processing "in house".

I would suggest you use PIL, or OpenCV directly from Python, and as your Mac is certainly multi-core, I would suggest you use multi-processing too since the task of doing thousands of images is trivially parallelisable.

As you haven't really given any indication of what your tuples actually look like, nor how to determine the output filename, I can only point you to methods 7 & 8 in this answer.

Your processing function for each image will want to create a new transparent image then open and paste other images with:

Source https://stackoverflow.com/questions/70399288

QUESTION

Python's `.loc` is really slow on selecting subsets of Data

Asked 2021-Dec-09 at 11:24

I'm having a large multindexed (y,t) single valued DataFrame df. Currently, I'm selecting a subset via df.loc[(Y,T), :] and create a dictionary out of it. The following MWE works, but the selection is very slow for large subsets.

...

ANSWER

Answered 2021-Dec-09 at 11:24

One idea is use Index.isin with itertools.product in boolean indexing:

Source https://stackoverflow.com/questions/70287843

QUESTION

Convert a txt file to dataframe

Asked 2021-Dec-04 at 07:31

How do I convert a .txt file with the following form of data to a pandas dataframe?

For example, this is the txt file with the structure (x1, y1, z1), (x2, y2, z2), ... (xn, yn, zn),

(108.222994365147, 16.077177357808345, 17.5), (108.22299074891866, 16.07718225312858, 17.5), (108.2229869226013, 16.077186986051835, 17.5), (108.22298289347849, 16.077191547568788, 17.5),

And after converting I want it to be like this

...

ANSWER

Answered 2021-Dec-04 at 06:05

data = pd.read_csv('file1.txt', sep=" ", header=None)

data.columns = ["x", "y", "z"]

try this

Source https://stackoverflow.com/questions/70223374

QUESTION

MetPy interpolate_to_grid function returning unexpected nan based on data domain

Asked 2021-Nov-02 at 22:53

I have been using the "Gridding METAR Observations" example code from MetPy Mondays #154 for some time without any issues. Up until recently, I passed the entire data set without restrictions (except to exclude stations near the South Pole, which were blowing up the Lambert Conformal transformation.)

Recently, I tried to restrict the domain of the METAR data I process to North America. At this point, MetPy's interpolate_to_grid function seems to be returning nan when it did not previously. Since my region of interest is far removed from the boundaries of the data set, I expected no effect on contours derived from the interpolated data; instead there is a profound effect (please see the example below.) I tried to interpolate over regions of missing data (nan) using SciPy's interp2d function, but there are too many nan to overcome with that "bandaid step".

Question: Is this expected behavior with interpolate_to_grid, or am I using it incorrectly? I can alway continue to use the entire data set, but that does slow things down a bit. Thanks for any help understanding this.

In the following example, I am using the 00Z.TXT file from https://tgftp.nws.noaa.gov/data/observations/metar/cycles/, but I am seeing this with METAR data from other sources.

...

ANSWER

Answered 2021-Nov-02 at 21:58

This was a tricky one to figure out. What's going on is that MetPy's implementation for Cressman (and Barnes) interpolation uses a maximum search radius for points included in the distance-weighted average. If you don't specify this maximum search radius, it uses 5 times the average minimum spacing between stations.

By subsetting your data to approximately North America, you have constructed subset of the data where the stations are closer together; this results in a smaller search radius (it is decreasing from ~150km to ~66km). This is obviously producing suboptimal results for your dataset, I think in part because there are limited stations. I plotted the station locations on top of the results using a 66km search radius here:

You can see the dropouts are where there are sizable gaps between stations. The best solution here is to manually specify the search_radius argument to something like 120km, which seems to give reasonable results:

Source https://stackoverflow.com/questions/69715720

QUESTION

Comparing array row-wise so as to generalize argmax function

Asked 2021-Oct-26 at 11:57

Using Python, consider an array X containing 2d data:

X = np.array([x0,y0], ..., [xn,yn])

and three 1d arrays Y_A, Y_B, Y_C of same length as X containing numbers. Finally consider 3 empty arrays A,B,C. How can I fill these empty arrays A,B,C according to the following pseudo-code?

Pseudo-code:

...

ANSWER

Answered 2021-Oct-26 at 11:57

Maybe try something like this:

Source https://stackoverflow.com/questions/69722475

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

Vulnerabilities

No vulnerabilities reported

Install yn

You can download it from GitHub.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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