pytrol | simple web frontend for FUNC

 by   scarpellini Python Version: Current License: Apache-2.0

kandi X-RAY | pytrol Summary

kandi X-RAY | pytrol Summary

pytrol is a Python library. pytrol has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pytrol build file is not available. You can download it from GitHub.

Pytrol is a very simple web interface for FUNC (Fedora Unified Network Controller). It’s a zero-conf (could be changed in the future) and database-free system, built using only FUNC/certmaster API. Dependencies: - Python: - webpy: - FUNC: Examples: - examples/apache.conf: Integrating Pytrol and Apache web server (+ mod_fastcgi).
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            kandi-support Support

              pytrol has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              pytrol has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pytrol is current.

            kandi-Quality Quality

              pytrol has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              pytrol 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.

            kandi-Reuse Reuse

              pytrol releases are not available. You will need to build from source code and install.
              pytrol has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pytrol and discovered the below as its top functions. This is intended to give you an instant insight into pytrol implemented functionality, and help decide if they suit your requirements.
            • Render a command
            • Execute a command
            • Render a GET form
            • Return a list of all known certificates
            Get all kandi verified functions for this library.

            pytrol Key Features

            No Key Features are available at this moment for pytrol.

            pytrol Examples and Code Snippets

            No Code Snippets are available at this moment for pytrol.

            Community Discussions

            QUESTION

            Cleanest way to support xarray, dask, and numpy arrays in one function
            Asked 2020-Apr-04 at 02:35

            I have a function that accepts multiple 2D arrays and creates two new arrays with the same shape. It was originally written to only support numpy arrays, but was "hacked" to support dask arrays if a "chunks" attribute was seen. A user who was using xarray DataArrays pointed out that this function now returns dask arrays because DataArray's have a "chunks" attribute.

            I'm wondering if the dask/xarray experts can tell me what the cleanest way to support all 3 (4?) object types might be without having to duplicate code for each type (numpy array, dask array, xarray with numpy, xarray with dask). Keep in mind the inputs are 2D arrays so the masking operations involved aren't supported out of the box. The related pull request for fixing this is here. Here is what we have so far while trying to avoid adding xarray and dask as required dependencies:

            ...

            ANSWER

            Answered 2018-Aug-10 at 23:10

            OK. You may want to avoid unnecessary dependence. I often define has_dask variable

            Source https://stackoverflow.com/questions/51774470

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

            Vulnerabilities

            No vulnerabilities reported

            Install pytrol

            You can download it from GitHub.
            You can use pytrol 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 .
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            CLONE
          • HTTPS

            https://github.com/scarpellini/pytrol.git

          • CLI

            gh repo clone scarpellini/pytrol

          • sshUrl

            git@github.com:scarpellini/pytrol.git

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