functioncache | provides a decorator to use on your python functions which caches results to file - based off of fil

by dwiel Python Version: 0.98 License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | functioncache Summary

functioncache is a Python library. functioncache has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install functioncache' or download it from GitHub, PyPI.

functioncache is a decorator which saves the return value of functions even after the interpreter dies. For example this is useful on functions that download and parse webpages. All you need to do is specify how long the return values should be cached (use seconds, like time.sleep).

Support

Quality

Security

License

Reuse

Support

functioncache has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 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 functioncache is 0.98

Quality

functioncache has no bugs reported.

Security

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

License

functioncache 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

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

Deployable package is available in PyPI.

Build file is available. You can 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 functioncache and discovered the below as its top functions. This is intended to give you an instant insight into functioncache implemented functionality, and help decide if they suit your requirements.

Return a memcache backend
Function cache decorator
Return the name of the module
Check if x is a class
Create a new directory
Cache the result of a function
Computes the key for a function call
Log an error
Setup cache directory
Creates a function cache
Setup the cache for a given function
Create a file cache
Return a shelve cache
Setup the cache

Get all kandi verified functions for this library.

functioncache Key Features

No Key Features are available at this moment for functioncache.

functioncache Examples and Code Snippets

functioncache,USAGE

Python

Lines of Code : 9

License : No License

Copy

    from functioncache import functioncache

    @functioncache(24 * 60 * 60)
    def time_consuming_function(args):
        # etc

    @functioncache(functioncache.YEAR)
    def another_function(args):
        # etc

functioncache,THE SkipCache EXCEPTION

Python

Lines of Code : 8

License : No License

Copy

  return some_fallback_value

  raise SkipCache,"Server timeout",some_fallback_value

        try:
            user['avatar'] = self.twister.dhtget(username,'avatar','s')[0]['p']['v'] # yes. it's a "real life" example :)
        except: # Probably a

functioncache,NOTES

Python

Lines of Code : 6

License : No License

Copy

    @functioncache.functioncache
    def somefunc(x, y, z):
        return x * y * z

    del somefunc._db[functioncache._args_key(somefunc, (1,2,3), {})]
    # or just iterate of somefunc._db (it's a shelve, like a dict) to find the right key.

Community Discussions

Trending Discussions on functioncache

Java: Implement recursive cached from cached Function and cached BiFunction

QUESTION

Java: Implement recursive cached from cached Function and cached BiFunction

Asked 2021-Jan-24 at 22:43

TLDR: How to implement this function?

...

ANSWER

Answered 2021-Jan-17 at 12:06

There are many drawbacks and mistakes in your code:

static size variables shared across different cache instances (therefore breaking it);
code duplication;
incorrect equals/hashCode contract implementation;
suppressing what should be fixed rather than suppressed;
the code is overly bloated;
and some minor ones (like _-containing lower-cased names, etc).

If you don't mind, I simplify it:

Source https://stackoverflow.com/questions/65758554

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

Vulnerabilities

No vulnerabilities reported

Install functioncache

You can install using 'pip install functioncache' or download it from GitHub, PyPI.
You can use functioncache 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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