semvec/pypi-packages huggingface dataset:
pywe-wxa-sec 1.0.3
Wechat MiniProgram Security Module for Python.
Keywords: Wechat Weixin MiniProgram Security

============
pywe-wxa-sec
============

Wechat MiniProgram Security Module for Python.

Sandbox
=======

* https://mp.weixin.qq.com/debug/cgi-bin/sandbox?t=sandbox/login

Installation
============

::

    pip install pywe-wxa-sec


Usage
=====

::

    from pywe_wxa_sec.pywxasec import Security, msg_sec_check, img_sec_check, media_check_async, audio_check_async, img_check_async


Method
======

::

    class Security(BaseToken):
        def __init__(self, appid=None, secret=None, token=None, storage=None):
            super(Security, self).__init__(appid=appid, secret=secret, token=token, storage=storage)

    def img_sec_check(self, media_file=None, media_file_path=None, appid=None, secret=None, token=None, storage=None, res_bool_val=False):

    def msg_sec_check(self, content, appid=None, secret=None, token=None, storage=None, res_bool_val=False):

    def media_check_async(self, media_url=None, media_type=None, appid=None, secret=None, token=None, storage=None, res_bool_val=False):

    def audio_check_async(self, audio_url=None, media_url=None, appid=None, secret=None, token=None, storage=None, res_bool_val=False):

    def img_check_async(self, img_url=None, media_url=None, appid=None, secret=None, token=None, storage=None, res_bool_val=False):
python-grpc 0.1.0
common grpc service

python-grpc An Common Service RPC library
------
Based on `grpcio`，we define the common grpc service and function. By reflection & syntactic sugar，server side can provide rpc service easily, also client can declare rpc interface easily.

Project HomePage
------
[https://github.com/ChinaSilence/python-grpc](https://github.com/ChinaSilence/python-grpc)
ml-toolkit-1 0.0.1
ML Toolkit

# ML-toolkit

# Python package basics
    - Create Source distribution: `python setup.py sdist`
    - Install package: `pip install ml-toolkit-1-0.0.1.tar.gz` (installs package into python site-packages)
    - Create Wheel: `python setup.py bdist_wheel`
    - Upload to pypi:
        - Test server: `twine upload --repository-url https://test.pypi.org/legacy/ -r ml-toolkit-prajit dist/ml-toolkit-1-0.0.1.tar.gz`
        - pypi.org: `twine upload --repository-url https://upload.pypi.org/legacy/ -r ml-toolkit-prajit dist/ml-toolkit-1-0.0.1.tar.gz`