python-ant | Python implementation of the ANT , ANT , and ANT-FS protocols | Encryption library

 by   mvillalba Python Version: Current License: MIT

kandi X-RAY | python-ant Summary

kandi X-RAY | python-ant Summary

python-ant is a Python library typically used in Security, Encryption, Raspberry Pi applications. python-ant has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python implementation of the ANT, ANT+, and ANT-FS protocols. For more information about ANT, see Can be used to communicate with ANT nodes using an ANT stick (USB). This project came to be when I tried to download data for analysis from my ANT+/ANT-FS enabled running watch under GNU/Linux. This eventually lead me to attempting to port ANT_LIB and ANT_DLL (by Dynastream) to Linux. However, I didn’t quite like the library, the protocol is well documented and trivial to implement, and I was going to have to write a ctypes-based wrapper afterwards since I was only going to use the library from Python. Thus, I decided to write a pure Python implementation.
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              python-ant has a low active ecosystem.
              It has 141 star(s) with 107 fork(s). There are 23 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 19 open issues and 6 have been closed. On average issues are closed in 16 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-ant is current.

            kandi-Quality Quality

              python-ant has 0 bugs and 0 code smells.

            kandi-Security Security

              python-ant has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-ant code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-ant is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              python-ant releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              It has 1790 lines of code, 240 functions and 30 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-ant and discovered the below as its top functions. This is intended to give you an instant insight into python-ant implemented functionality, and help decide if they suit your requirements.
            • Open the log file
            • Read data from the unpacker
            • Close the file descriptor
            • Set the network key
            • Calculates the checksum of the message
            • Encode this message
            • Processes a message
            • Close the channel
            • Sets the channel ID
            • Assign a new channel
            • Returns the network key with the given name
            • Set the payload
            • Set the channel search timeout
            • Set the channel period
            • Set the channel frequency
            • Unassign the channel
            • Set the message type
            • Open the channel
            Get all kandi verified functions for this library.

            python-ant Key Features

            No Key Features are available at this moment for python-ant.

            python-ant Examples and Code Snippets

            No Code Snippets are available at this moment for python-ant.

            Community Discussions

            QUESTION

            Submitting reCAPTCHA v2 with selenium and python - no form submit button
            Asked 2020-Aug-13 at 10:53

            So I recently signed up with anti-captcha and have been testing with the https://github.com/ad-m/python-anticaptcha/blob/master/examples/recaptcha_selenium.py script.

            I cannot get past a reCAPTCHA that has no submit button (hidden or visible) nor a clear way to submit for verification. I've used the anti-captcha firefox plugin, so I know it can be passed. But I am stuck at the point of doing this manually myself.

            I thought this was going to be a helpful answer, but it doesn't go into depth. I am able to get the job.get_solution_response() token and enter it into the required textfield, but I cannot submit the "form."

            Does anyone have success with this? I am also looking to do this in a headless version of the browser. Would a solution be different based on headless vs non-headless?

            BTW, realtor(dot)com is the website I am having trouble with. If I am not aloud to post this site, please let me know so I can remove it.

            ...

            ANSWER

            Answered 2020-Jun-02 at 13:00

            try to sendKeys of \n or Keys.Enter to the textfield. This was my solution in my projects. Also this is generic one

            Source https://stackoverflow.com/questions/62147401

            QUESTION

            How can I check given partial or incomplete python program is syntacticly correct or not
            Asked 2020-Jul-28 at 12:21

            How can I write a program which can parse the incomplete and return True if the string of tokens till now can possibly generate syntactically correct python program and False if no syntactically correct python program can be generated ever.

            Here is an example.

            ...

            ANSWER

            Answered 2020-Jul-28 at 12:21

            I was managed to this antlr, here is my solution

            Source https://stackoverflow.com/questions/63128280

            QUESTION

            ANTLR4 Python in Unittest: how to abort on any error
            Asked 2020-Jun-11 at 07:42

            I want to test my lexer/parser in a Python Unittest. For that purpose I'd like antlr to fail with an Exception everytime anything is out of order. What is the most elegant way to achieve this?

            I have read the ANTLR Mega Tutorial, there they write an ErrorListener which overrides syntaxError() to save the last offending symbol and then in the end, they check if any offending symbol was encountered.

            I saw that there are different ErrorStrategy classes and BailErrorStrategy sounds like this is what I need. But then I read How can I fail on first syntax error in a python ANTLR generated parser while keeping the error message? which says this strategy doesn't alway throw an Exception.

            My best idea so far is to throw an Exception in ErrorListener.syntxError():

            ...

            ANSWER

            Answered 2020-Jun-11 at 07:42

            The best option you have is the BailErrorStategy. It uses an exception which is not catched anywhere in the ANTLR4 runtime and hence that bubbles up to your own code directly.

            If you use a normal error handler/default strategy it will always try to recover from syntax errors to allow continuing the parse run.

            But even with the BailErrorStrategy in place you can have an error listener to get the first (and only) error that came up. For the error messages I recommend attaching your own error listener class to produce your own version of the error message like I did in this C++ code

            Source https://stackoverflow.com/questions/62301218

            QUESTION

            Is it ever okay to catch a generic exception in Python?
            Asked 2020-Feb-26 at 12:46

            I was just reading through this article from Real Python about the evils of catching generic exceptions.

            I'm working on a large-ish program in Python at the moment. This program spawns some subprocesses (using Popen) and then calls some other code over and over again. Being a large program, it has the potential to throw a variety of classes of exception, many of which I haven't even thought of yet. This is a problem because it means that the subprocesses aren't killed properly.

            I want to do something like this:

            ...

            ANSWER

            Answered 2020-Feb-26 at 12:36

            Catching an exception means that you are prepared to handle certain kinds of problems which may occur and that you have a plan for what to do when that happens. That should usually be as narrow as possible, so you're really only handling the specific problems you're prepared for and for which you have a specific remedy.

            Now, if your code is very broad, then it also makes sense to have a broad error handling. Say you're writing a web framework like Flask or Tornado. You'll be making calls into user supplied code, over which you have zero influence and which may raise any kind of error. But just because the user code raised an error, you don't want that to affect the web server. So you'd always encapsulate any and all calls into unknown user code with the broadest possible exception handler, because your primary goal is to keep the server running, regardless of what issues the user code may have.

            So, yes, it's perfectly fine to have a generic exception handler in the right circumstances.

            Source https://stackoverflow.com/questions/60413983

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-ant

            % python setup.py install.

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