Displaying 1 to 13 from 13 results

boltons - 🔩 Like builtins, but boltons

  •    Python

boltons should be builtins. Full and extensive docs are available on Read The Docs. See what's new by checking the CHANGELOG.

pickleDB - Key-value store using Python's simplejson module

  •    Python

pickleDB is a lightweight and simple key-value store. It is built upon Python's simplejson module and was inspired by redis.

flask-caching - Continuation of the Flask-Cache Extension.

  •    Python

Adds easy cache support to Flask. This is a fork of the Flask-Cache extension.

ring - Shift cache paradigm to code and forget about storages

  •    Python

Let's concentrate on code, not about storages. Ring shows a way to control cache in point of view of code - not about storages. Ring's decorator is convenient but also keeping fluency for general scenarios.




raster-tiles-compactcache - Compact Cache V2 is used by ArcGIS to store raster tiles

  •    Python

The Compact Cache V2 is the current file format used by ArcGIS to store raster tiles. The Compact Cache V2 stores multiple tiles in a single file called a bundle. The bundle file structure is very simple and optimized for quick access, the result being improved performance over other alternative formats. This repository contains documentation, a sample cache and a Python 2.x code example of how to build Compact Cache V2 bundles from individual image tiles.

django-watchman - django-watchman exposes a status endpoint for your backing services like databases, caches, etc

  •    Python

django-watchman exposes a status endpoint for your backing services like databases, caches, etc. The full documentation is at http://django-watchman.rtfd.org.

cache-simulator - A processor cache simulator for the MIPS instruction set architecture

  •    Python

This program simulates a processor cache for the MIPS instruction set architecture. It can simulate all three fundamental caching schemes: direct-mapped, n-way set associative, and fully associative. The program must be run from the command line and requires Python 3.4+ to run. Executing the program will run the simulation and print an ASCII table containing the details for each supplied word address, as well as the final contents of the cache.

cachelper

  •    Python

Caching function return values in memory. This mixin defines these methods: call, map, __call__. If your class already defines methods of the same name, the mixin methods may not work correctly.


qcache - In memory cache server with query capabilities

  •    Python

QCache is a key-table cache, an in memory cache server with analytical query capabilities. While the more commonly known key-value caches (such as Memcached) lets you fetch a value based on a key QCache lets you run queries against a table based on a key.

cachier - Persistent, stale-free, local and cross-machine caching for Python functions.

  •    Python

Persistent, stale-free, local and cross-machine caching for Python functions. Cachier provides a decorator which you can wrap arount your functions to give them a persistent cache. The positional and keyword arguments to the wrapped function must be hashable (i.e. Python's immutable built-in objects, not mutable containers). Also, notice that since objects which are instances of user-defined classes are hashable but all compare unequal (their hash value is their id), equal objects across different sessions will not yield identical keys.

tache - A tag based invalidation caching library

  •    Python

A tag based invalidation caching library

cashier - Persistent caching for python functions

  •    Python

Simply add a decorator to a python function and cache the results for future use. Extremely handy when you are dealing with I/O heavy operations which seldom changes or CPU intensive functions as well. Anatomically, once a function is called, result from the function is cached into an SQLite3 database locally, with an expiry time. There is a maximum length for the cache to prevent cache flooding the file system.

Superior-Cache-ANalyzer - A tool for inspecting the contents of Apache Traffic Server caches

  •    Python

A: Sometimes, ATS installs point to cache files that are installed relative to the ATS root directory. This is pretty common in test setups right after a basic install. There's not really any way for SCAN to 'detect' when this is happening (though it will try), so the best solution is often just to try running scan from that ATS root directory. For example, if you have a directory /opt/trafficserver that holds all of the trafficserver files, try going to that directory before running scan. A: Congratulations, you've just been drafted! Try running scan like this: scan --debug <other options that you specified last time> 2>scan.err (you may not see the error message this time) and then create a github issue and upload/pastebin/^C^V the scan.err file that should've been created and link/paste it into the box, along with a description of what you were trying to do and what went wrong. I'll fix it as soon as I can.