semvec/pypi-packages huggingface dataset:
ssmc 1.3.0
Sakura Secure Mobile Connect API tool
Keywords: SAKURA Cloud SIM SakuraSecureMobileConnect SSMC

# Python tool for SAKURA Secure Mobile Connect

## What is this

このツールは、 [さくらのクラウド](https://cloud.sakura.ad.jp/) のAPIを利用して、
[セキュアモバイルコネクト](https://www.sakura.ad.jp/services/sim/) のSIMを管理するためのPythonツールです。

SIMの登録、有効化、無効化、登録解除などができます。

## How To use

* [ドキュメント](https://hitsumabushi.github.io/python-sakura-secure-mobile-connect/index.html)
* [PyPI](https://pypi.org/project/ssmc/)

### Install

```
$ pip install ssmc
```

### Usage

```python
import ssmc

api = ssmc.APIClient(token=_token_, secret=_secret_, zone="is1b")
# List MGWs
mgws, _ = api.list_mgws()
print(mgws)
```

# 開発者向けメモ

## テストについて

さくらのクラウドのテスト用のゾーン(tk1v) がセキュアモバイルコネクトに対応していないようなので、
ひとまず、プライベートリポジトリで実際のICCIDなどを使ってテストしています。

## ドキュメント

```
$ pip install -r requirements-dev.txt
$ cd docs
$ make html
```
primitiv 0.4.0.dev231
primitiv: A Neural Network Toolkit. (Python frontend)

primitiv: A Neural Network Toolkit. (Python frontend)
=====================================================


Features
--------

- Dynamic and incremental graph construction
- On-demand memory allocation
- Automatic minibatch broadcasting
- Mostly device-independent
- Simple usage


Install
-------

Prerequisites:

- Python 3 (3.5 or later)
- NumPy (1.11.0 or later)
- Cython (0.27 or later)
- CMake (3.1.0 or later)
- scikit-build (0.6.1 or later)
- (optional) CUDA (7.5 or later)
- (optional) OpenCL (1.2 or later) and OpenCL C++ binding v2

Install required packages::

    pip3 install numpy cython cmake scikit-build

Build and install primitiv without CUDA and OpenCL::

    pip3 install primitiv

Build and install primitiv with CUDA and/or OpenCL support::

    # Enable only CUDA
    pip3 install primitiv --global-option --enable-cuda

    # Enable both CUDA and OpenCL
    pip3 install primitiv --global-option --enable-cuda --global-option --enable-opencl

``--enable-eigen`` flag that enables ``Eigen`` backend is added by default in
the package contained in PyPI. To disable the Eigen backend, use
``--disable-eigen`` flag. Note that Eigen is bundled with the package contained
in PyPI.


Notes
-----

We are providing only a source pacakge for now, and ``pip`` command
downloads the source package and builds it before installing.
This is mainly because of keeping compatibility with the ``manylinux1`` standard
described in `PEP 513 <https://www.python.org/dev/peps/pep-0513/>`_
while maintaining supports of non-standard backends such as CUDA/OpenCL.


Resources
---------

* `Official repository <https://github.com/primitiv/primitiv-python>`_
* `Examples <https://github.com/primitiv/primitiv-python/tree/develop/examples>`_
promap 0.0.2
Projection mapping pipeline

`promap` is a command-line tool that you can use
in conjunction with your digital video workflow
to do projection mapping.

`promap` uses a projector and a single camera
to compute the physical scene as viewed from the projector,
as well as a coarse disparity (depth) map.

You can import the maps that it generates straight into your [digital video workflow](https://radiance.video),
or you can post-process them into masks and uvmaps first using image processing tools.