data_cache | Python data cache decorator | Architecture library

 by   statnett Python Version: 0.1.6 License: MIT

kandi X-RAY | data_cache Summary

kandi X-RAY | data_cache Summary

data_cache is a Python library typically used in Architecture applications. data_cache has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However data_cache build file is not available. You can install using 'pip install data_cache' or download it from GitHub, PyPI.

Python data cache decorator
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            kandi-support Support

              data_cache has a low active ecosystem.
              It has 33 star(s) with 5 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 3 have been closed. On average issues are closed in 9 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of data_cache is 0.1.6

            kandi-Quality Quality

              data_cache has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              data_cache 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

              data_cache releases are available to install and integrate.
              Deployable package is available in PyPI.
              data_cache has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed data_cache and discovered the below as its top functions. This is intended to give you an instant insight into data_cache implemented functionality, and help decide if they suit your requirements.
            • Create a store function
            • Add metadata to the group
            • Return the cache path
            • Creates cache decorator
            • Extract arguments from a function
            Get all kandi verified functions for this library.

            data_cache Key Features

            No Key Features are available at this moment for data_cache.

            data_cache Examples and Code Snippets

            No Code Snippets are available at this moment for data_cache.

            Community Discussions

            QUESTION

            How can I validate json data in laravel?
            Asked 2017-Aug-14 at 16:30

            My code to validate data like this :

            ...

            ANSWER

            Answered 2017-Aug-14 at 16:30

            You could try using...

            Source https://stackoverflow.com/questions/45678317

            QUESTION

            How to parse below xml in oracle sql
            Asked 2017-Mar-11 at 09:21
            
            
            
                1234ABCD
               
                
                    A
                    B
                    
                
                
                    C
                    D
                    MName
                    D C
                
                
                    ABCDEF
                
            
            
            
                345JUHDE
            
                
                    AB
                    BC
                    BC
                
                
                    CD
                    DF
                    
                
                
                    7654333
                
            
            
            
            
            ...

            ANSWER

            Answered 2017-Mar-11 at 09:21

            You can use the XMLTable function:

            XMLTable maps the result of an XQuery evaluation into relational rows and columns. You can query the result returned by the function as a virtual relational table using SQL.

            In this case as you have multiple name nodes under each details section, you can either use two levels of XMLTable; the first gets the CDATA text and the details, the second expands the details to get the name information:

            Source https://stackoverflow.com/questions/42731707

            QUESTION

            EnhanceIO Telegraf `filestat` plugin - Super GLOB pattern not working - Make telegraf recursively look for all files
            Asked 2017-Feb-06 at 17:35

            Telegraf v1.0.1 (git: master 26acdc9231efde105510fe5df3da7519bc4f42f7)

            Telegraf service is running successfully sudo service telegraf status shows telegraf is running [OK].

            I'm using Wavefront's SaaS based monitoring solution for showing Telegraf data or setting up various other things (alerts, dashboards).. it works.

            Overview: When you install Telegraf, it creates its main config file at /etc/telegraf/telegraf.conf and a user can put other configurations under /etc/telegraf/telegraf.d/*.conf (files).

            I have /etc/telegraf/telegraf.d/extra-inputs-plugins.conf and in this file, I have the following contents (as you see, it's using filestat inputs plugin) and the following configuration works:

            ...

            ANSWER

            Answered 2017-Feb-06 at 17:35

            As per Cameron Sparr's comment and testing on this, she couldn't reproduce the above situation with the following example but the examples I mentioned in my post were valid as well in not catching the super glob patterns.

            Per her comment, it seems like: /proc is a very special "filesystem" that is actually a "file" mapping to particular kernel parameters and metrics. Glob and path matching may not work in this area as you might expect.

            Source https://stackoverflow.com/questions/41902685

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

            Vulnerabilities

            No vulnerabilities reported

            Install data_cache

            You can install using 'pip install data_cache' or download it from GitHub, PyPI.
            You can use data_cache 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/statnett/data_cache.git

          • CLI

            gh repo clone statnett/data_cache

          • sshUrl

            git@github.com:statnett/data_cache.git

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