INTANG | research project for circumventing the TCP reset attack | VPN library

by seclab-ucr C Version: Current License: GPL-3.0

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kandi X-RAY | INTANG Summary

INTANG is a C library typically used in Networking, VPN applications. INTANG has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

Linux (must has netfilter supported in kernel). And the binary will be located under bin folder. Any questions could be direct to intang.box@gmail.com. Please see [FAQ] FAQ.md) page.

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Support

INTANG has a medium active ecosystem.

It has 2800 star(s) with 590 fork(s). There are 196 watchers for this library.

It had no major release in the last 6 months.

There are 21 open issues and 16 have been closed. On average issues are closed in 25 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of INTANG is current.

Quality

INTANG has 0 bugs and 0 code smells.

Security

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

INTANG code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

INTANG is licensed under the GPL-3.0 License. This license is Strong Copyleft.

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

Reuse

INTANG 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.

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INTANG Key Features

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INTANG Examples and Code Snippets

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Community Discussions

Trending Discussions on INTANG

Add legends to a Treemap with ggplot only when space inside blocks is too small

How to create a table from json data?

How do I transfer values of a CSV files between certain dates to another CSV file based on the dates in the rows in that file?

How to solve a Pandas Merge Error: key must be integer or timestamp?

How to solve ValueError: left keys must be sorted when merging two Pandas dataframes?

Checking if a variable is a number in Python

Extract content of ids with BeautifulSoup Python

How to get values from a dict into a new column, based on values in column

How to append something in a CSV file to a column in all the rows where the cell of the ticker column = 'AAPL'?

How do I keep the column names in a data frame when I am trying to drop all of the rows that don't start with specific names?

QUESTION

Add legends to a Treemap with ggplot only when space inside blocks is too small

Asked 2022-Feb-09 at 22:07

I'm working with ggplot and treemapify to generate a treemap.

The problem is that some blocks are too small so i can't put text inside of them. I've been trying to use scale_fill_manual in order to generate some legends outside the graph by breaks argument but it comes with two problems. If I only specify the labels that I want, the other ones turn green and I can't change their fill collor. On the other hand, when I use all the labels it shows them all.

How can I choose which legends I want to show in the graph?

This is the resulting treemap when I try to add the legends with all labels

This is the resulting treemap when I try to add the legends with the labels that I want

This is the code I'm currently working on:

...

ANSWER

Answered 2022-Feb-09 at 22:07

One option to prevent the fill colors to be removed when setting the breaks would be to make use of a named vector which assigns colors to category names:

Source https://stackoverflow.com/questions/71056003

QUESTION

How to create a table from json data?

Asked 2021-Apr-25 at 15:34

I have a json format data and I want to create a table from that. I can take values and display them correctly. But when I create a table it is not working as what I want. My data returns as rows but I want to every array should be column.

It is my table:

And this is like what I want:

Here are my codes:

views.py

...

ANSWER

Answered 2021-Apr-25 at 15:34

The two functions that you need:

Source https://stackoverflow.com/questions/67208596

QUESTION

How do I transfer values of a CSV files between certain dates to another CSV file based on the dates in the rows in that file?

Asked 2021-Mar-16 at 04:46

Long question: I have two CSV files, one called SF1 which has quarterly data (only 4 times a year) with a datekey column, and one called DAILY which gives data every day. This is financial data so there are ticker columns.

I need to grab the quarterly data for SF1 and write it to the DAILY csv file for all the days that are in between when we get the next quarterly data.

For example, AAPL has quarterly data released in SF1 on 2010-01-01 and its next earnings report is going to be on 2010-03-04. I then need every row in the DAILY file with ticker AAPL between the dates 2010-01-01 until 2010-03-04 to have the same information as that one row on that date in the SF1 file.

So far, I have made a python dictionary that goes through the SF1 file and adds the dates to a list which is the value of the ticker keys in the dictionary. I thought about potentially getting rid of the previous string and just referencing the string that is in the dictionary to go and search for the data to write to the DAILY file.

Some of the columns needed to transfer from the SF1 file to the DAILY file are:

['accoci', 'assets', 'assetsavg', 'assetsc', 'assetsnc', 'assetturnover', 'bvps', 'capex', 'cashneq', 'cashnequsd', 'cor', 'consolinc', 'currentratio', 'de', 'debt', 'debtc', 'debtnc', 'debtusd', 'deferredrev', 'depamor', 'deposits', 'divyield', 'dps', 'ebit']

Code so far:

...

ANSWER

Answered 2021-Feb-27 at 12:10

The solution is merge_asof it allows to merge date columns to the closer immediately after or before in the second dataframe.

As is it not explicit, I will assume here that daily.date and sf1.datekey are both true date columns, meaning that their dtype is datetime64[ns]. merge_asof cannot use string columns with an object dtype.

I will also assume that you do not want the ev evebit evebitda marketcap pb pe and ps columns from the sf1 dataframes because their names conflict with columns from daily (more on that later):

Code could be:

Source https://stackoverflow.com/questions/66378725

QUESTION

How to solve a Pandas Merge Error: key must be integer or timestamp?

Asked 2021-Feb-28 at 10:49

I'm trying to merge to pandas dataframes, one is called DAILY and the other SF1.

DAILY csv:

...

ANSWER

Answered 2021-Feb-27 at 16:26

You are facing this problem because your date column in 'daily' and calendardate column in 'sf1' are of type object i.e string

Just change their type to datatime by pd.to_datetime() method

so just add these 2 lines of code in your Datasorting/cleaning code:-

Source https://stackoverflow.com/questions/66400763

QUESTION

How to solve ValueError: left keys must be sorted when merging two Pandas dataframes?

Asked 2021-Feb-27 at 19:10

I'm trying to merge two Pandas dataframes, one called SF1 with quarterly data, and one called DAILY with daily data.

Daily dataframe:

...

ANSWER

Answered 2021-Feb-27 at 19:10

The sorting by ticker is not necessary as this is used for the exact join. Moreover, having it as first column in your sort_values calls prevents the correct sorting on the columns for the backward-search, namely date and calendardate.

Try:

Source https://stackoverflow.com/questions/66402405

QUESTION

Checking if a variable is a number in Python

Asked 2021-Feb-10 at 00:19

I'm building a budget tool. If the user were to enter the wrong number for the budget, the whole program crashes and gives an error message. I would like to add a loop or something else to have the program loop back and ask the question again, rather than it crashing if given intangible information. I've tried while loops but it doesn't seem to work

...

ANSWER

Answered 2021-Feb-10 at 00:07

Put the input instead a while True loop, and break once you get the input you're looking for. Here's a simple example:

Source https://stackoverflow.com/questions/66129006

QUESTION

Extract content of ids with BeautifulSoup Python

Asked 2021-Feb-07 at 10:26

I have some html pages that should have 1 table, some rows and 2 columns, I'm trying to convert these to cvs tables. I thought to loop through the rows and get the columns however I can't get only the part inside the ids (e.g. id="(-) Additional deductions of AT1 Capital due to Article 3 CRR"). Is there a way just to extract the content of id for each row?

code

...

ANSWER

Answered 2021-Feb-04 at 22:45

How about replacing the last line with one of:

definitions.append([td.text for td in i.find_all('td')])
definitions.append([td['id'] for td in i.find_all('td')]) (per @Justin Ezequiel's comment)

This will get either the text or the value of id for each one

EDIT per comment:
This is how you could do it, basically you need to save a tuple of the text of both items in each td. The second part is one way to write it to a file

Source https://stackoverflow.com/questions/66054163

QUESTION

How to get values from a dict into a new column, based on values in column

Asked 2021-Feb-07 at 07:30

I have a dictionary that contains all of the information for company ticker : sector. For example 'AAPL':'Technology'.

I have a CSV file that looks like this:

...

ANSWER

Answered 2021-Feb-07 at 07:29

Use .map, not .apply to select values from a dict, by using a column value as a key, because .map is the method specifically implemented for this operation.
- .map will return NaN if the ticker is not in the dict.
.apply can be used, but .map should be used
- df['sector'] = df.ticker.apply(lambda x: company_dict.get(x))
- .get will return None if the ticker isn't in the dict.

Source https://stackoverflow.com/questions/66085264

QUESTION

How to append something in a CSV file to a column in all the rows where the cell of the ticker column = 'AAPL'?

Asked 2021-Jan-17 at 05:12

Quick question: I am trying to do some analysis on the tickers in a CSV file.

Example of CSV file (Note that these are only the first two lines and there are around 200 tickers in total):

...

ANSWER

Answered 2021-Jan-17 at 05:10

If you want to set some column value based on condition consider apply or iterrows

Source https://stackoverflow.com/questions/65757064

QUESTION

How do I keep the column names in a data frame when I am trying to drop all of the rows that don't start with specific names?

Asked 2020-Dec-18 at 18:50

I need to drop the majority of the companies in a historical stock market data CSV. The only companies I want to keep are 'GOOG', 'AAPL', 'AMZN', 'NFLX'. Note that there are over 20 000 companies listed in the CSV. I also want to filter out these companies while only using certain columns in the CSV. The columns are: 'ticker', 'datekey', 'assets', 'eps', 'pe', 'price', 'revenue'.

The code to filter out these companies is:

...

ANSWER

Answered 2020-Dec-18 at 18:50

list = ['GOOG', 'AAPL', 'AMZN', 'NFLX']
first = True

for tickers in list:
    df1 = df[df.ticker == tickers]
    if first:
        df1.to_csv("20CompanyAnalysisData1.csv", mode='a', header=True)
        first = False
    else: 
        df1.to_csv("20CompanyAnalysisData1.csv", mode='a', header=False)
    continue

Source https://stackoverflow.com/questions/65362151

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