npf | packet filter with stateful inspection | Firewall library
kandi X-RAY | npf Summary
kandi X-RAY | npf Summary
NPF is a layer 3 packet filter, supporting stateful packet inspection, IPv6, NAT, IP sets, extensions and many more. It uses BPF as its core engine and it was designed with a focus on high performance, scalability, multi-threading and modularity. NPF was written from scratch in 2009. It is written in C99 and distributed under the 2-clause BSD license. NPF is provided as a userspace library to be used in a bespoke application to process packets. It can run on Linux, typically, in combination with such frameworks like Data Plane Development Kit (DPDK) or netmap.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of npf
npf Key Features
npf Examples and Code Snippets
Community Discussions
Trending Discussions on npf
QUESTION
I have a json file to convert it in json but the case here is the nested json structure:
[ { "node":[ { "node":[ { "node":[ { "node":[ { "valBool":false, "valStr1":[ "true" ], "valStr2":[ "Industry is in bank exclusion list" ] }, { "valBool":false, "valStr1":[ "true" ], "valStr2":[ "Borrower is currently under bankruptcy law" ] }, { "valBool":false, "valStr1":[ "true" ], "valStr2":[ "Borrower is flagged as Unwilling" ] }, { "valBool":false, "valStr1":[ "true" ], "valStr2":[ "Borrower is flagged as non-viable" ] }, { "valBool":false, "valStr1":[ "true" ], "valStr2":[ "Borrower has blocked access of bank to Tiresias" ] }, { "valBool":false, "valStr1":[ "true" ], "valStr2":[ "Borrower is default (NPE/NPF eba status) " ] }, { "valBool":true, "valStr1":[ "false" ], "valStr2":[ "Default value" ] } ] } ] }, { "node":[ { "node":[ { "node":[ { "node":[ { "node":[ { "valBool":false, "valStr1":[ "1" ], "valStr2":[ "There are less \nthan 10 employees" ] }, { "valBool":false, "valStr1":[ "1" ], "valStr2":[ "Annual turnover is \nlower than annual \nturnover threshold" ] }, { "valBool":false, "valStr1":[ "1" ], "valStr2":[ "Total assets are \nlower than total \nassets threshold" ] }, { "valBool":true, "valStr1":[ "0" ], "valStr2":[ "Default" ] } ] } ] } ] } ] } ] } ] } ] } ]
As you can see 'node' can be find at any level. I tried some recursive aproaches but the output is not what we want. We need to take every node that has the three values inside and write them to one line on csv.
The expected output should be:
...ANSWER
Answered 2022-Mar-11 at 16:28You have to consider in your recursive function if the data you're
processing is a list or a dictionary. If it's a list you simply recusively call your function on its items. If it's a dictionary you try to
print values associated to 'valBool', 'valStr1' and 'valStr2' if
they are present and recursively call on the value associated to
'node' if any.
QUESTION
I have a code that takes data from multiple modeling file, does some math with the data and outputs the data to Excel. I have the code take in all the files in the directory and creates a sheet per model in one Excel workbook. I have it set up so the outputted Excel file is in the directory of all the files and not the directory where the code belongs. The way I do this though makes the name of the Excel the name of the first model with a .xlsx at the end. Is there a way to specify the directory but also name the file something I choose? Here is an example of the code:
...ANSWER
Answered 2022-Feb-03 at 20:04Surely it's just:
QUESTION
Am getting errors doing NPV calculation using numpy_financial.npv(rate, values) on a dataframe.
Am i able to use dataframes for NPV calculation? Not sure how to fix this. Manually looping through each row?
...ANSWER
Answered 2021-Sep-15 at 07:27values parameter in npv takes only 1 dimensional array, so you need to loop through it.
QUESTION
i have this function:
...ANSWER
Answered 2021-Aug-22 at 09:38I fyou have a DataFrame with input values to your function, you can convert to record dictionaries and use **kwargs to evaluate the function. The code below provides a bare-bones demo:
QUESTION
I am supposed to work out the periodic investment amount given the target wealth.
This is my user defined code:
...ANSWER
Answered 2021-Aug-14 at 07:20You can use zip() and tuple unpacking, like this:
QUESTION
I am running into a roadblock and would appreciate some help on this.
Problem Statement:
I am trying to calculate XIRR for a cash flow over 30 years in Python.
What have I tried so far:
However, none of the established libraries(like numpy and pandas) seem to have support for this. After doing some research, I learned through this source (https://vindeep.com/Corporate/XIRRCalculation.aspx) that with some simple manipulation, XIRR can be calculated from IRR.
So, all I need is an IRR function that is implemented well. The functionality used to exist in numpy but has moved to this other package (https://github.com/numpy/numpy-financial). While, this package works, it is very very slow. Here is a small test:
...ANSWER
Answered 2021-Jun-18 at 03:48Taking a look at the implementation on their GitHub, it is pretty evident to me that the npf.irr() function is implemented pretty well. Your alternative seems to be to implement the function yourself using NumPy operations but I am doubtful that a) that is easy to accomplish or b) possible to accomplish in pure Python.
NumPy Financial seems to be doing their implementation using eigenvalues which means they are performing complex mathematic operations. Perhaps, if you are not bounded to Python, consider Microsoft's C# implementation of IRR and see if that works faster. I suspect that they are using regression to calculate the IRR. Therefore, based on your guess, it may indeed be quicker than NumPy Financial.
Your final alternative is to continue with what you have at the moment and just run on a more powerful machine. On my machine, this operation took about 71 seconds and it is does not even have a GPU. I am sure more powerful computers, with parallelization, should be able to compute this much much faster than that.
QUESTION
I am taking a course in Coursera and am boggled by a simple NPV function.
Question:
What is the present value of $4,000 per year annuity for 8 years at an interest rate of 6%?
Excel:
=NPV(6%, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000)
=$24,839
Numpy_Financial:
...ANSWER
Answered 2020-Dec-26 at 08:24Excel assumes that the first value is at t=1 (no initial wealth), while numpy-financial assumes the first value to be at t=0. Therefore, In numpy you start with an initial wealth of 4000 and your result is basically the excel result * 1.06.
If you want to calculate the excel result using numpy, set the initial wealth to zero:
QUESTION
There are many ways to compute the mortgage monthly payment, this can be done using numpy-financial package as follow:
with an interest rate of 4.84, and an amount of 5000 over 60 months duration
...ANSWER
Answered 2020-Sep-23 at 01:54The solution to the mentioned problem is simple
First we need to compute the amount of interest of our loan that adds up to the loan amount, let's say we borrowed 10000$ with an interest rate of 5%, the accumulated interest of our loan over 6 months (meaning we didn't make a payment during this 6 months)
QUESTION
I have a dataframe that is populated via a mySQL query. I convert this to an array to try and calculate the irr. The sorting and groupby functions work as intended, but I cannot seem to get around this error. I looked at this issue, but it doesn't seem to apply in my case.
I have tried to pass a list, DataFrame, and pandas table, but the function is looking for an array so that's what I send it. Any help on this is appreciated.
Thanks!
...ANSWER
Answered 2020-Jun-12 at 00:36From the docs, the function numpy_financial.irr() consumes a one-dimensional array-like object. However, you are passing flows_by_year.values which is two-dimensional. Use np.squeeze(flows_by_year.values) or flows_by_year['sum'] instead.
QUESTION
I am trying to post to tumblr using Google Apps Script. I have learnt Tumblr uses OAuth V1. To get an idea and to test the API I copied the GSuiteDevs Apps Script OAuth1 Twitter Sample code available at Github.
I have suitably modified wherever necessary. After running the script, I am getting an error 400.8001 which according to Tumblr API Documentation is due to
"when an NPF JSON parameter is invalid or a bad format".
The code and the error are provided below:
...ANSWER
Answered 2020-Apr-21 at 06:44Credits to @TheMaster
The errors were in not including contentType:"application/json" and JSON.stringify(payload) . Those need to be included.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install npf
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
