spx | Proxy a URL with a custom scheme | Proxy library

by inlife JavaScript Version: Current License: MIT

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

kandi X-RAY | spx Summary

spx is a JavaScript library typically used in Networking, Proxy applications. spx has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

spx - scheme proxy. A simple tool that allows naive proxying of urls with custom schemes. Useful for cases when you don't have an ability to use original url, because of some limitations (ex. urls on Notion).

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Support

spx has a low active ecosystem.

It has 29 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spx is current.

Quality

spx has no bugs reported.

Security

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

License

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

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

Reuse

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

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spx Key Features

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spx Examples and Code Snippets

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Community Discussions

Trending Discussions on spx

Correctly compute the divergence of a vector field in python

I was expecting segmentation fault or some kind of out of bound exception but did not get it when using command line arguments in a C program

How to drop rows that contain NaN from a DataFrame

Retrieve last n rows from tsibble object - R

Can a tsibble obj. have multiple rows of the same date and associated row value?

how to select just one item from json in flutter

Google Script for adding events from Sheets to Calendar not working

Dynamically create names inside a dictionary using multiple variables

passing parameter to a lambda function from dataframe.groupby()

Correct syntax for mutate across when excluding columns, part 2

QUESTION

Correctly compute the divergence of a vector field in python

Asked 2021-Jun-15 at 15:26

I am trying to compute the divergence of a vector field:

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ANSWER

Answered 2021-Jun-15 at 15:26

Let me 1. explain the reason behind this observation, and 2. how to fix it.

Reason:

One needs to be careful about how the data is oriented when computing the divergence (or the gradient in general), since it is important to compute the gradient along the correct axis to obtain a physically valid result.

np.meshgrid can output the mesh in two ways, depending on how you set the index parameter

Index "xy" : Here, for every y value, we sweep the x-values.

Source https://stackoverflow.com/questions/67974193

QUESTION

I was expecting segmentation fault or some kind of out of bound exception but did not get it when using command line arguments in a C program

Asked 2021-May-30 at 09:48

I am learning C programming from "Learn c the hard way by Zed Shaw". He asks the learner to try and break their own code.

So I tried the following C code and thought printing more values that I gave argv will break it but it did not until later.

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ANSWER

Answered 2021-May-30 at 09:48

A segmentation fault happens when the code try to access a memory region that is not available.

Accessing an array out of bounds doesn't means that the memory before or after the area occupied by the array is not available: The compiler or the runtime usually put all varibales or data in general in a given block of memory. If your array is the last item of such a memory block, the accessing it with a to big index will produce a Segmentaion Fault but is the array is in the middle of the memory block, you will just access memory used for other data, giving unexpected result and undefined behavior.

If the array (In may example, but valid for anything) is written, accessing available memory will not produce a segmentation fault but will overwrite something else. It may produce unexpected results or crash or segmentation fault later! This kind of bug is frequently very difficult to find because the unexpected result/behavior looks completely independent of the root cause.

Source https://stackoverflow.com/questions/67759381

QUESTION

How to drop rows that contain NaN from a DataFrame

Asked 2021-May-25 at 07:25

I have a DataFrame that looks like this. How do I get rid of the rows that contain a Nan?

I have tried several iterations, for example

...

ANSWER

Answered 2021-May-22 at 00:18

You are effectively dropping the NaN rows. However, the method returns a new copy with the rows removed. You need to do this:

Source https://stackoverflow.com/questions/67644951

QUESTION

Retrieve last n rows from tsibble object - R

Asked 2021-May-07 at 18:52

I have a tsibble matrix that grows 32 rows larger every day from incoming data, I would like to only plot the past 5 days in my plotting function which requires me to subset (32*5) 160 of the bottom rows. The dates for each row change every 32 rows, as new daily data comes in.

E.g

...

ANSWER

Answered 2021-May-07 at 18:52

I was able to circumvent the error I was encountering from the creation of my original data set by using this simple bit of code. Not a fix to the error, but a way around it.

Source https://stackoverflow.com/questions/67425678

QUESTION

Can a tsibble obj. have multiple rows of the same date and associated row value?

Asked 2021-May-06 at 01:20

I have a data frame that I am converting into a tsibble time series object to allow for easier timeseries graphing and manipulation (rolling time window analysis) of data. I obtain new data daily that I would like to append on to the original data frame represented as df, new incoming data is represented as df2. I can change these data.frame's into a tsibble objects independently, but when I use rbind() to join them first and then use as_tsibble, I get an error.

...

ANSWER

Answered 2021-May-06 at 01:20

A tsibble must have a unique time point (the index) for each observation in a time series, where each time series is identified by the key.

The datasets that you have constructed for your MRE appear to have this quality, however the conversion to date is not giving you the desired results. For example, your index variable in df is:

Source https://stackoverflow.com/questions/67409508

QUESTION

how to select just one item from json in flutter

Asked 2021-Mar-30 at 06:46

Hi i want to show SPX price in my app and have this json API i need to select just SPX data fron this API how can i do that??

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ANSWER

Answered 2021-Mar-30 at 04:27

This might work

Source https://stackoverflow.com/questions/66864732

QUESTION

Google Script for adding events from Sheets to Calendar not working

Asked 2021-Mar-27 at 14:47

I have the following code for adding Calendar events from Google Sheets, but it is not working. It is not showing any errors or anything, just that it is not updating the Calendar. Any ideas what I might have done wrong? I tried without the "new Date" on the Start and End dates as well.

...

ANSWER

Answered 2021-Mar-27 at 14:47

So this might be a good starting point to begin debugging again.

Source https://stackoverflow.com/questions/66831120

QUESTION

Dynamically create names inside a dictionary using multiple variables

Asked 2021-Mar-16 at 00:27

There have been similar questions but I've not quite been able to get it right - apologies for duplications. What I would like to do is create dataframe names inside a dictionary based on variables as I iterate.

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ANSWER

Answered 2021-Mar-16 at 00:27

If you're using Python 3, you can use f-strings:

Source https://stackoverflow.com/questions/66647478

QUESTION

passing parameter to a lambda function from dataframe.groupby()

Asked 2021-Mar-13 at 11:49

I have a data fram like this named rest,

...

ANSWER

Answered 2021-Mar-13 at 11:49

It works on the index, so x passed to the get_year lambda is rest.index, and x.year is rest.index.year, which is well defined.

Here's the DataFrame.groupby documentation reference:

DataFrame.groupby(by=None, axis=0, level=None, as_index=True, sort=True, group_keys=True, squeeze=, observed=False, dropna=True)[source]

...

If by is a function, it’s called on each value of the object’s index

Source https://stackoverflow.com/questions/66613050

QUESTION

Correct syntax for mutate across when excluding columns, part 2

Asked 2021-Mar-04 at 00:43

I thought I had the answer to my question here, but when I used with my larger data set I get different results. I suspect the difference is because of the way the na.locf line is acting.

Basically I am converting code where I used mutate_at to the new syntax with mutate(across()).

In the first case below, the data is filled correctly, because df_initial is still grouped by the index_name. In the second case, I'm assuming because I had to ungroup for the mutate across to work, I get a different answer.

So here is another example with a larger data set to illustrate the problem.

Reproducible example:

...

ANSWER

Answered 2021-Mar-04 at 00:43

Both approaches gave similar results for me. Could you try the code below?

Source https://stackoverflow.com/questions/66461402

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

Vulnerabilities

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Install spx

You can download it from GitHub.

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