semvec/pypi-packages huggingface dataset:
dummy-clicli 0.0.0
dummy cli
License: MIT
Keywords: dummy-clicli cli

============
dummy-clicli
============

dummy cli


* Documentation: https://dummy-clicli.readthedocs.org/en/latest


Development Workflow
====================

The workflow supports the following steps

 * lint
 * test
 * build
 * document
 * upload
 * graph

These actions are supported out of the box by the corresponding scripts under _CI/scripts directory with sane defaults based on best practices.
Sourcing setup_aliases.ps1 for windows powershell or setup_aliases.sh in bash on Mac or Linux will provide with handy aliases for the shell of all those commands prepended with an underscore.

The bootstrap script creates a .venv directory inside the project directory hosting the virtual environment. It uses pipenv for that.
It is called by all other scripts before they do anything. So one could simple start by calling _lint and that would set up everything before it tried to actually lint the project

Once the code is ready to be delivered the _tag script should be called accepting one of three arguments, patch, minor, major following the semantic versioning scheme.
So for the initial delivery one would call

    $ _tag --minor

which would bump the version of the project to 0.1.0 tag it in git and do a push and also ask for the change and automagically update HISTORY.rst with the version and the change provided.


So the full workflow after git is initialized is:

 * repeat as necessary (of course it could be test - code - lint :) )

   * code
   * lint
   * test
 * commit and push
 * develop more through the code-lint-test cycle
 * tag (with the appropriate argument)
 * build
 * upload (if you want to host your package in pypi)
 * document (of course this could be run at any point)


Important Information
=====================

This template is based on pipenv. In order to be compatible with requirements.txt so the actual created package can be used by any part of the existing python ecosystem some hacks were needed.
So when building a package out of this **do not** simple call

    $ python setup.py sdist bdist_egg

**as this will produce an unusable artifact with files missing.**
Instead use the provided build and upload scripts that create all the necessary files in the artifact.



Project Features
================

* TODO




History
-------

0.0.1 (27-10-2021)
---------------------

* First code creation
adsocket-transport 0.2.0
ADSocket transport library
License: MIT

# Adsocket transport

## Install

``` bash
pip install adsocket-transport
```

## Usage

Transport initialization and sending message is very simple

```python
from adsocket_transport import ADSocketTransport

adsocket = ADSocketTransport(
        driver='redis',
        host='redis://localhost:6379',
        db=1
    )

adsocket.send_data(data={'obj': 'user', 'obj_id': 4}, channels={'name': 'global', 'id': 'global'})
```

in case of async transport

```python
from adsocket_transport import ADSocketAsyncTransport

adsocket = ADSocketAsyncTransport(
        driver='redis',
        host='redis://localhost:6379',
        db=1
    )
await adsocket.send_data(data={'obj': 'user', 'obj_id': 4}, channels={'name': 'global', 'id': 'global'})
```

Alternatively you can create message manually
```python
from adsocket_transport import Message, ADSocketAsyncTransport

adsocket = ADSocketAsyncTransport(
        driver='redis',
        host='redis://localhost:6379',
        db=1
    )

message = Message(type='publish', data={'obj': 'user', 'obj_id': 4}, channel='global', channel_id='global')
await adsocket.send(message)
```

For more see [adsocket-transport](https://github.com/AwesomeDevelopersUG/adsocket).
myawesometest2lib 0.1.0
A template to create python libraries
License: MIT
Keywords: myawesometest2lib

=================
myawesometest2lib
=================

A template to create python libraries


* Documentation: https://myawesometest2lib.readthedocs.org/en/latest


Development Workflow
====================

The workflow supports the following steps

 * lint
 * test
 * build
 * document
 * upload
 * graph

These actions are supported out of the box by the corresponding scripts under _CI/scripts directory with sane defaults based on best practices.
Sourcing setup_aliases.ps1 for windows powershell or setup_aliases.sh in bash on Mac or Linux will provide with handy aliases for the shell of all those commands prepended with an underscore.

The bootstrap script creates a .venv directory inside the project directory hosting the virtual environment. It uses pipenv for that.
It is called by all other scripts before they do anything. So one could simple start by calling _lint and that would set up everything before it tried to actually lint the project

Once the code is ready to be delivered the _tag script should be called accepting one of three arguments, patch, minor, major following the semantic versioning scheme.
So for the initial delivery one would call

    $ _tag --minor

which would bump the version of the project to 0.1.0 tag it in git and do a push and also ask for the change and automagically update HISTORY.rst with the version and the change provided.


So the full workflow after git is initialized is:

 * repeat as necessary (of course it could be test - code - lint :) )

   * code
   * lint
   * test
 * commit and push
 * develop more through the code-lint-test cycle
 * tag (with the appropriate argument)
 * build
 * upload (if you want to host your package in pypi)
 * document (of course this could be run at any point)


Important Information
=====================

This template is based on pipenv. In order to be compatible with requirements.txt so the actual created package can be used by any part of the existing python ecosystem some hacks were needed.
So when building a package out of this **do not** simple call

    $ python setup.py sdist bdist_egg

**as this will produce an unusable artifact with files missing.**
Instead use the provided build and upload scripts that create all the necessary files in the artifact.



Project Features
================

* TODO




History
-------

0.0.1 (27-10-2021)
---------------------

* First code creation


0.1.0 (27-10-2021)
------------------

* added first class to my lib
dummylibrarylib 0.1.0
A template to create python libraries
License: MIT
Keywords: dummylibrarylib

===============
dummylibrarylib
===============

A template to create python libraries


* Documentation: https://dummylibrarylib.readthedocs.org/en/latest


Development Workflow
====================

The workflow supports the following steps

 * lint
 * test
 * build
 * document
 * upload
 * graph

These actions are supported out of the box by the corresponding scripts under _CI/scripts directory with sane defaults based on best practices.
Sourcing setup_aliases.ps1 for windows powershell or setup_aliases.sh in bash on Mac or Linux will provide with handy aliases for the shell of all those commands prepended with an underscore.

The bootstrap script creates a .venv directory inside the project directory hosting the virtual environment. It uses pipenv for that.
It is called by all other scripts before they do anything. So one could simple start by calling _lint and that would set up everything before it tried to actually lint the project

Once the code is ready to be delivered the _tag script should be called accepting one of three arguments, patch, minor, major following the semantic versioning scheme.
So for the initial delivery one would call

    $ _tag --minor

which would bump the version of the project to 0.1.0 tag it in git and do a push and also ask for the change and automagically update HISTORY.rst with the version and the change provided.


So the full workflow after git is initialized is:

 * repeat as necessary (of course it could be test - code - lint :) )

   * code
   * lint
   * test
 * commit and push
 * develop more through the code-lint-test cycle
 * tag (with the appropriate argument)
 * build
 * upload (if you want to host your package in pypi)
 * document (of course this could be run at any point)


Important Information
=====================

This template is based on pipenv. In order to be compatible with requirements.txt so the actual created package can be used by any part of the existing python ecosystem some hacks were needed.
So when building a package out of this **do not** simple call

    $ python setup.py sdist bdist_egg

**as this will produce an unusable artifact with files missing.**
Instead use the provided build and upload scripts that create all the necessary files in the artifact.



Project Features
================

* TODO




History
-------

0.0.1 (27-10-2021)
---------------------

* First code creation


0.1.0 (27-10-2021)
------------------

* Added first class