writing | Writing is a lightweight distraction-free text editor, in the browser (Markdown and LaTeX supported)

by josephernest JavaScript Version: Current License: No License

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

kandi X-RAY | writing Summary

writing is a JavaScript library typically used in Utilities, Latex applications. writing has no vulnerabilities and it has medium support. However writing has 1 bugs. You can download it from GitHub.

Writing is a lightweight distraction-free text editor, in the browser.

Support

Quality

Security

License

Reuse

Support

writing has a medium active ecosystem.

It has 985 star(s) with 78 fork(s). There are 28 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 10 have been closed. On average issues are closed in 3 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of writing is current.

Quality

writing has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 1 code smells.

Security

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

writing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

writing does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

writing releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

writing saves you 115 person hours of effort in developing the same functionality from scratch.

It has 291 lines of code, 0 functions and 6 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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writing Key Features

No Key Features are available at this moment for writing.

writing Examples and Code Snippets

Handler for file writing .

java

Lines of Code : 8

License : Permissive (MIT License)

Copy

@Bean
    @ServiceActivator(inputChannel = "fileChannel")
    public MessageHandler fileWritingMessageHandler() {
        FileWritingMessageHandler handler = new FileWritingMessageHandler(new File(OUTPUT_DIR));
        handler.setFileExistsMode(FileE

Community Discussions

Trending Discussions on writing

Is it possible to initialize properties at the beginning of a class?

Does opening a file in a child process create a separate entry in the system open file table in the kernel?

Multiple table joins in Oracle SQL with same column names

Multiple requests causing program to crash (using BeautifulSoup)

Managing nested Firebase realtime DB queries with await/async

Insert multiple rows from a select and put the generated IDs into other table

How can one check if an integer is equal to another in a 2D array?

WMIC output in a batch script

AWS DynamoDB Partition Key Design

What happens to the CPU pipeline when the memory with the instructions is changed by another core?

QUESTION

Is it possible to initialize properties at the beginning of a class?

Asked 2021-Jun-16 at 00:19

I am writing my project and wondered. When I read literature or watch videos, I see that this is bad practice. Why? Is this bad for the system?

What is the difference between this

...

ANSWER

Answered 2021-Jun-16 at 00:17

You have to initialize all instance properties somehow. And you have to do it right up front, either in the declaration line or in your init method.

But what if you don't actually have the initial value until later, like in viewDidLoad? Then it is silly to supply a real heavyweight value only to replace it later:

Source https://stackoverflow.com/questions/67994848

QUESTION

Does opening a file in a child process create a separate entry in the system open file table in the kernel?

Asked 2021-Jun-15 at 23:17

I understand that after calling fork() the child process inherits the per-process file descriptor table of its parent (pointing to the same system-wide open file tables). Hence, when opening a file in a parent process and then calling fork(), both the child and parent can write to that file without overwriting one another's output (due to a shared offset in the open-file table entry).

However, suppose that, we call open() on some file after a fork (in both the parent and the child). Will this create a separate entries in the system-wide open file table, with a separate set of offsets and read-write permission flags for the child (despite the fact that it's technically the same file)? I've tried looking this up and I don't seem to be able to find a clear answer.

I'm asking this mainly since I was playing around with writing to files, and it seems like only one the outputs of the parent and child ends up in the file in the aforementioned situation. This seemed to imply that there are separate entries in the open file table for the two separate open calls, and hence separate offsets, so the slower process overwrites the output of the other process.

To illustrate this, consider the following code:

...

ANSWER

Answered 2021-May-03 at 20:22

There is a difference between a file and a file descriptor (FD).

All processes share the same files. They don't necessarily have access to the same files, and a file is not its name, either; two different processes which open the same name might not actually open the same file, for example if the first file were renamed or unlinked and a new file were associated with the name. But if they do open the same file, it's necessarily shared, and changes will be mutually visible.

But a file descriptor is not a file. It refers to a file (not a filename, see above), but it also contains other information, including a file position used for and updated by calls to read and write. (You can use "positioned" read and write, pread and pwrite, if you don't want to use the position in the FD.) File descriptors are shared between parent and child processes, and so the file position in the FD is also shared.

Another thing stored in the file descriptor (in the kernel, where user processes can't get at it) is the list of permitted actions (on Unix, read, write, and/or execute, and possibly others). Permissions are stored in the file directory, not in the file itself, and the requested permissions are copied into the file descriptor when the file is opened (if the permissions are available.) It's possible for a child process to have a different user or group than the parent, particularly if the parent is started with augmented permissions but drops them before spawning the child. A file descriptor for a file opened in this manner still has the same permissions uf it is shared with a child, even if the child would itself be able to open the file.

Source https://stackoverflow.com/questions/67375028

QUESTION

Multiple table joins in Oracle SQL with same column names

Asked 2021-Jun-15 at 22:43

Currently I have 3 tables like below

Master

ID_NUMBER ZIPCODE 1 12341 2 12342 3 12343 4 12344

Table1

ID_NUMBER CITYNAME COUNTYNAME 1 NEW YORK QUEENS 3 DETROIT SUFFOLK

Table2

ID_NUMBER CITYNAME COUNTYNAME 2 ATLANTA ROCKLAND 4 BOSTON WINCHESTER

My desired output is like below. I want to filter based on the zipcode from master table

ID_NUMBER ZIPCODE CITYNAME COUNTYNAME 2 12342 ATLANTA ROCKLAND

How would i go about writing a query for this? Below is what i have tried but it's giving me null values if the ID_NUMBER is not found on that particular table.

...

ANSWER

Answered 2021-Jun-15 at 22:37

Use COALESCE():

Source https://stackoverflow.com/questions/67994239

QUESTION

Multiple requests causing program to crash (using BeautifulSoup)

Asked 2021-Jun-15 at 19:45

I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).

...

ANSWER

Answered 2021-Jun-15 at 19:45

To avoid the page from crashing, add the user-agent header to the headers= parameter in requests.get(), otherwise, the page thinks that your a bot and will block you.

Source https://stackoverflow.com/questions/67992444

QUESTION

Managing nested Firebase realtime DB queries with await/async

Asked 2021-Jun-15 at 19:34

I'm writing a Firebase function (Gist) which

Queries a realtime database ref (events) in the following fashion:

await admin.database().ref('/events_geo').once('value').then(snapshots => {
Iterates through all the events

snapshots.forEach(snapshot => {
Events are filtered by a criteria for further processing
Several queries are fired off towards realtime DB to get details related to the event

await database().ref("/ratings").orderByChild('fk_event').equalTo(snapshot.key).once('value').then(snapshots => {
Data is prepared for SendGrid and the processing is finished

All of the data processing works perfectly fine but I can't get the outer await (point 1 in my list) to wait for the inner awaits (queries towards realtime DB) and thus when SendGrid should be called the data is empty. The data arrives a little while later. Example output from Firebase function logs can be seen below:

10:54:12.642 AM Function execution started

10:54:13.945 AM There are no emails to be sent in afterEventHostMailGoodRating

10:54:14.048 AM There are no emails to be sent in afterEventHostMailBadRating

10:54:14.052 AM Function execution took 1412 ms, finished with status: 'ok'

10:54:14.148 AM

Super hyggelig aften :)

super oplevelse, ... long string generated

Gist showing the function in question

I'm probably mixing up my async/awaits because of the awaits inside the await. But I don't see how else the code could be written without splitting it out into many atomic pieces but that would still require stitching a bunch of awaits together and make it harder to read.

So, two questions in total. Can this code work and what would be the ideal way to handle this pattern of making further processing on top of data fetched from Realtime DB?

Best regards, Simon

...

ANSWER

Answered 2021-Jun-15 at 11:20

Your problem is that you use async in a foreEach loop here:

Source https://stackoverflow.com/questions/67984092

QUESTION

Insert multiple rows from a select and put the generated IDs into other table

Asked 2021-Jun-15 at 19:01

Given MySQL tables something like this¹:

...

ANSWER

Answered 2021-Jun-15 at 13:49

If there is a one-to-one mapping, you can join back using the type column:

Source https://stackoverflow.com/questions/67987387

QUESTION

How can one check if an integer is equal to another in a 2D array?

Asked 2021-Jun-15 at 19:00

How can one check if an integer is equal to another in a 2D array?

...

ANSWER

Answered 2021-Jun-15 at 18:23

Just to address your attempt, the correct syntax for that would be

if (a == b || a == c || a == d || a == e || a == f || a == g || a == h || a == i) ....

But depending on your use case, it's probably advisable to loop over the array instead.

Source https://stackoverflow.com/questions/67991573

QUESTION

WMIC output in a batch script

Asked 2021-Jun-15 at 18:34

This is pretty straight forward but after much Googling and experimenting, I cannot find the answer. I will use this as an example and then I can apply it to other scripts I am writing. When I run this command

...

ANSWER

Answered 2021-Jun-15 at 18:34

The Unicode output of WMIC encoded with UTF-16 LE with BOM (byte order mark) can be filtered with two FOR loops to get just the wanted data written into an ASCII encoded text file.

Source https://stackoverflow.com/questions/67991413

QUESTION

AWS DynamoDB Partition Key Design

Asked 2021-Jun-15 at 18:09

I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.

First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?

Usage

I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..

We can assume an average of 50k forms per gym

Options

First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.
Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.
Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.

Is there another option? Which one of the three is better?

Edit: I'm assuming another option would be SimpleDB?

...

ANSWER

Answered 2021-May-21 at 20:26

For your PK design. What data does the app have when a user is going to look for a form? Does it have the GymID, userID, and formID? If so, make a compound key out of that for the PK perhaps? So your PK might look like:

Source https://stackoverflow.com/questions/67628589

QUESTION

What happens to the CPU pipeline when the memory with the instructions is changed by another core?

Asked 2021-Jun-15 at 16:56

I'm trying to understand how the "fetch" phase of the CPU pipeline interacts with memory.

Let's say I have these instructions:

...

ANSWER

Answered 2021-Jun-15 at 16:34

It varies between implementations, but generally, this is managed by the cache coherency protocol of the multiprocessor. In simplest terms, what happens is that when CPU1 writes to a memory location, that location will be invalidated in every other cache in the system. So that write will invalidate the line in CPU2's instruction cache as well as any (partially) decoded instructions in CPU2's uop cache (if it has such a thing). So when CPU2 goes to fetch/execute the next instruction, all those caches will miss and it will stall while things are refetched. Depending on the cache coherency protocol, that may involve waiting for the write to get to memory, or may fetch the modified data directly from CPU1's dcache, or things might go via some shared cache.

Source https://stackoverflow.com/questions/67988744

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

Vulnerabilities

No vulnerabilities reported

Install writing

You can download it from GitHub.

Support

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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