pymemcache | A comprehensive , fast , pure-Python memcached client | Analytics library

by pinterest Python Version: 4.0.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pymemcache Summary

pymemcache is a Python library typically used in Analytics applications. pymemcache has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However pymemcache has 1 bugs. You can install using 'pip install pymemcache' or download it from GitHub, PyPI.

A comprehensive, fast, pure-Python memcached client.

Support

Quality

Security

License

Reuse

Support

pymemcache has a low active ecosystem.

It has 700 star(s) with 183 fork(s). There are 33 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 107 have been closed. On average issues are closed in 62 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pymemcache is 4.0.0

Quality

pymemcache has 1 bugs (0 blocker, 0 critical, 0 major, 1 minor) and 42 code smells.

Security

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

pymemcache code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

pymemcache 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.

Reuse

pymemcache releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pymemcache saves you 1626 person hours of effort in developing the same functionality from scratch.

It has 3612 lines of code, 457 functions and 22 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pymemcache and discovered the below as its top functions. This is intended to give you an instant insight into pymemcache implemented functionality, and help decide if they suit your requirements.

Read a segment from the socket
Receive data from a socket
The memcached replace command
Return a list of keys and values
Connects to the server
Validate the value
Add key to cas command
Add a key to the memcache
Emulate the cas command
Validate CAS parameter
Delete multiple keys
Send commands to memcached
Prepend a value to a key
Emulate set_many
Touch a key
Shutdown memcache
Run raw command
Get the value of a key
Get multiple keys
Get a list of keys
Return the version of memcache
Sets a cas
Prepend a key to the given value
Replaces the key with the given value
Quit the server
Add a key value pair

Get all kandi verified functions for this library.

pymemcache Key Features

No Key Features are available at this moment for pymemcache.

pymemcache Examples and Code Snippets

No Code Snippets are available at this moment for pymemcache.

Community Discussions

Trending Discussions on pymemcache

Elastic Apm python agent connection problem

Python Unit Test Dependent Functions

QUESTION

Elastic Apm python agent connection problem

Asked 2021-Feb-05 at 11:15

I have a very basic Django APM agent setup:

...

ANSWER

Answered 2021-Feb-05 at 11:15

Commenting out 'SERVER_URL': '127.0.0.1:8200' solved the problem.

Source https://stackoverflow.com/questions/66026533

QUESTION

Python Unit Test Dependent Functions

Asked 2019-Mar-19 at 12:21

I'm using pytest to write some unit tests, and wondering what the best approach for testing 'dependent' functions are. Let's say I have two functions:

...

ANSWER

Answered 2019-Mar-19 at 12:21

Your unit test looks perfectly valid. There's no harm in setting files to pymemcache during tests because everything remains in local memory. It's also perfectly ok to have such "setup" dependencies in your tests.

If you notice that you start to have multiple tests dependending on the same setup, you can use pytest fixtures for setting up such setup and teardown dependencies. Example code could look like this:

Source https://stackoverflow.com/questions/55240403

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

Vulnerabilities

No vulnerabilities reported

Install pymemcache

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