Margay | A tracker in the Leopardus family | Stream Processing library
kandi X-RAY | Margay Summary
kandi X-RAY | Margay Summary
Margay is a Python library typically used in Data Processing, Stream Processing applications. Margay has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
A tracker in the Leopardus family
A tracker in the Leopardus family
Support
Quality
Security
License
Reuse
Support
Margay has a low active ecosystem.
It has 14 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 588 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Margay is current.
Quality
Margay has 0 bugs and 0 code smells.
Security
Margay has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Margay code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Margay does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Margay 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.
Top functions reviewed by kandi - BETA
kandi has reviewed Margay and discovered the below as its top functions. This is intended to give you an instant insight into Margay implemented functionality, and help decide if they suit your requirements.
- Reload torrents
- Load all tokens from torrents
- Convert a string value to an enum
- Load torrents
- Start the worker
- Start the timer
- Emulate flush
- Flush the queued peers
- Action handler
- Record a peer heavy peer
- Expire an expired token
- Handle announce request
- Start reapers
- Reaper peers
- Reaper the del reason
- Run bitTorrent tracker
- Shutdown tracker
- Create a web server
- Flush peers to peer queue
- Get a connection to the MySQL server
- Flatches pendingatches
- Flush tokens from the queue
- Flush all active users
- Flush tokens from the server
- Delete all torrents
- Decode a hexadecimal string
Get all kandi verified functions for this library.
Margay Key Features
No Key Features are available at this moment for Margay.
Margay Examples and Code Snippets
No Code Snippets are available at this moment for Margay.
Community Discussions
Trending Discussions on Margay
QUESTION
Filtering result set based on a number
Asked 2018-Aug-16 at 11:01
Given this result set, how do I pull out only those entries that have numbers greater than 2
but no entry for 1
in the mdline
column, based on a unique mmatter
column?
SQL Fiddle here: http://sqlfiddle.com/#!18/8c17e/2
Query:
...ANSWER
Answered 2018-Aug-16 at 11:01You can get the desired results by adding a not exists
to your where clause:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Margay
You can download it from GitHub.
You can use Margay like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Margay like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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 .
Find more information at:
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