nat | STUN and ICE implementations for the Go programming language

by danderson Go Version: Current License: Apache-2.0

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

kandi X-RAY | nat Summary

nat is a Go library. nat has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

STUN and ICE implementations for the Go programming language. The code is under Apache License 2.0.

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Support

nat has a low active ecosystem.

It has 40 star(s) with 8 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nat is current.

Quality

nat has no bugs reported.

Security

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

License

nat is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Top functions reviewed by kandi - BETA

kandi has reviewed nat and discovered the below as its top functions. This is intended to give you an instant insight into nat implemented functionality, and help decide if they suit your requirements.

ParsePacket returns a new Packet .
This is the main entry point for testing
GatherCandidates returns a list of candidate candidates .
getReflexive is used to get a reflexive
buildPacket builds a MAC packet .
BindResponse builds a MethodBinding packet .
ConnectOpt is like ConnectOpt but accepts connection options
parseAddress parses an address and port family .
BindRequest builds a MethodBinding packet .
setTOS is used to set the SOL_SOCK option .

Get all kandi verified functions for this library.

nat Key Features

No Key Features are available at this moment for nat.

nat Examples and Code Snippets

No Code Snippets are available at this moment for nat.

Community Discussions

Trending Discussions on nat

Is this a correct application of 'exists' in Coq?

AWS ubuntu iptable port forwarding between its two interfaces

Pandas: Cannot subtract date-time objects (timedelta, datetime)

Pandas: Subtract timestamps

Coq: Cannot guess decreasing argument of fix

How do I convert a column of type 'int64' to datetime?

Simple Cardinality Proof

Is Numb Turn server not working or are my configurations wrong?

How to use df.loc (or some other method) to make a new column based on specific conditions?

Python and pandas: How to use df.loc to make a new column based on conditions?

QUESTION

Is this a correct application of 'exists' in Coq?

Asked 2021-Jun-15 at 11:55

In the simple example below I get the error Tactic failure: Cannot find witness. The lemma seems rather trivial so I guess, I'm not using the quantification properly.

...

ANSWER

Answered 2021-Jun-15 at 11:55

Looking at the documentation, it does not seem that the decision procedure for lia handles existential quantifiers, so you have to instantiate the existential by yourself, e.g.

Source https://stackoverflow.com/questions/67984899

QUESTION

AWS ubuntu iptable port forwarding between its two interfaces

Asked 2021-Jun-15 at 11:24

I have an AWS ubuntu instance with the following network interfaces:

ens5, ip: 172.XX.XX.XX

A5TAP, ip:192.168.233.1 (VPN)

How do I udp port forward port 10000-10200 to 192.168.233.52:10000-10200? I tried a the obvious commands below for a single port 10009, but it is not working:

...

ANSWER

Answered 2021-Jun-15 at 11:24

I believe what you want is the following:

Source https://stackoverflow.com/questions/67959293

QUESTION

Pandas: Cannot subtract date-time objects (timedelta, datetime)

Asked 2021-Jun-15 at 02:51

Here is the setup:

...

ANSWER

Answered 2021-Jun-15 at 01:46

Since both columns are pandas Timestamp, you can do this:

Source https://stackoverflow.com/questions/67978919

QUESTION

Pandas: Subtract timestamps

Asked 2021-Jun-14 at 22:22

I grouped a dataframe test_df2 by frequency 'B' (by business day, so each name of the group is the date of that day at 00:00) and am now looping over the groups to calculate timestamp differences and save them in the dict grouped_bins. The data in the original dataframe and the groups looks like this:

timestamp status externalId 0 2020-05-11 13:06:05.922 1 1 7 2020-05-11 13:14:29.759 10 1 8 2020-05-11 13:16:09.147 1 2 16 2020-05-11 13:19:08.641 10 2

What I want is to calculate the difference between each row's timestamp, for example of rows 7 and 0, since they have the same externalId.

What I did for that purpose is the following.

...

ANSWER

Answered 2021-Jun-14 at 22:22

To convert your timestamp strings to a datetime object:

Source https://stackoverflow.com/questions/67977606

QUESTION

Coq: Cannot guess decreasing argument of fix

Asked 2021-Jun-13 at 17:12

I am trying to write a function that executes boolean operations in a stack program. So far I have got the code bellow but, for some reason, executeBool doesn't work. Coq shows the error "Cannot guess decreasing argument of fix" but I'm not quite sure why since it seems a bit "obvious" that is it program.

...

ANSWER

Answered 2021-Jun-13 at 17:03

program is technically decreasing, but you use it with syntactically a constructor added and Coq's decreasing check is not very smart. Try to give the subelements in the match a name with as and use this name as in:

Source https://stackoverflow.com/questions/67960398

QUESTION

How do I convert a column of type 'int64' to datetime?

Asked 2021-Jun-12 at 15:04

There is an 'x' column (int64) in which only the year and month are displayed and all days are displayed as '00'. (Example : 19501200,19541100,19590300...)

After several attempts, I ran into a problem where all values were converted to missing values.

How do I solve it?

...

ANSWER

Answered 2021-Jun-12 at 15:04

That's because your format is not right, 00 is not a valid day, so to ignore that, pass directly 00 instead of %d, also typecasting to str is not necessary.

Source https://stackoverflow.com/questions/67949621

QUESTION

Simple Cardinality Proof

Asked 2021-Jun-11 at 08:54

So I'm trying to perform a simple proof using cardinalities. It looks like:

...

ANSWER

Answered 2021-Jun-11 at 08:54

I believe that the lemma you are trying to prove does not appropriately consider the case of infinite sets.

In Isabelle/HOL, infinite cardinalities are represented by zero. As we can see by the following lemma.

Source https://stackoverflow.com/questions/67929898

QUESTION

Is Numb Turn server not working or are my configurations wrong?

Asked 2021-Jun-11 at 07:57

I am using the free TURN server provided by https://numb.viagenie.ca/. The STUN servers are also public.

I am using the following configuration:

...

ANSWER

Answered 2021-Mar-17 at 16:54

Before setting up a brand new TURN server you can try to understand what's actually happening: if you take a trace on the computer with an application like Wireshark, and filter for stun messages, you should be able to see the browser sending Binding Request and Allocate Request methods towards the TURN server.

A missing response from the server may mean that the server is not available, the port is wrong, or a firewall prevents the browser to reach the TURN server.

If instead the credentials are wrong, the browser will receive a 401 error to the Allocate Request with the message-integrity attribute.

You can also verify the TURN URL and credentials by running the WebRTC sample application that deals with ICE candidate gathering at https://webrtc.github.io/samples/src/content/peerconnection/trickle-ice/ .

Source https://stackoverflow.com/questions/65911068

QUESTION

How to use df.loc (or some other method) to make a new column based on specific conditions?

Asked 2021-Jun-10 at 19:33

I have a dataframe that contains 5 columns and I am using pandas and numpy to edit and work with the data.

...

ANSWER

Answered 2021-Jun-10 at 19:06

To test if a value is NaT, use pd.isnull as shown in this answer. isnull matches None, NaN, and NaT.

You can build a function which does this check and sums all of the values until it hits a null value. For example:

Source https://stackoverflow.com/questions/67923813

QUESTION

Python and pandas: How to use df.loc to make a new column based on conditions?

Asked 2021-Jun-10 at 14:47

*see edits below

I have a dataframe that contains 6 columns and I am using pandas and numpy to edit and work with the data.

...

ANSWER

Answered 2021-Jun-10 at 13:06

So long the values are datetime (and NaT are missing values, not string), you can use:

Source https://stackoverflow.com/questions/67921586

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

Vulnerabilities

No vulnerabilities reported

Install nat

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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