semvec/pypi-packages huggingface dataset:
AtoD 0.1.2
Easy access to DotA2 internal data.
License: MIT
Keywords: games data DotA2 ml

====
AtoD
====
DotA2 data for ML.


Installation
============
Package can be installed with pip:

.. code-block:: bash

    $ pip install atod

To use Match class you should get your own DotA2 API key here_ and add it to
YamJam_ config file which can be found at `~/.yamjam/config.yaml`. If you don't have one
just create it with

.. code-block:: bash

    touch ~/.yamjam/config.yaml

.. _here http://steamcommunity.com/dev/apikey
.. _YamJam http://yamjam.readthedocs.io/en/latest/

After that add the following text to your config file:

.. code-block:: yaml

   AtoD:
     DOTA2_API_KEY: <your API key>

example:

.. code-block:: yaml

   AtoD:
     DOTA2_API_KEY: 65DCCD4C2595F8E7055797033214EE6F


Examples
========
Please, take a look at jupyter notebooks in `examples/` folder to see how the lib can be used.
Create a hero from name and get some basic info.

.. code-block:: python

    >>> from atod import Hero
    >>> am = Hero.from_name('Anti-Mage')
    >>> am.str
    22
    >>> print(am.abilities)
    <Abilities [<Ability name=mana_break>, <Ability name=blink>, <Ability name=spell_shield>, <Ability name=mana_void>, ]>
    >>> am.lvl = 15
    >>> am.str
    43


The code above creates Anti-Mage, which has some basic attributes: strength (str),
agility, armor all of them are counted at the run-time, so if you will change the
level of hero, attributes will change too.

Other examples of usage of the Hero class can be found at `examples/hero_data.ipynb.`


Documentation
=============
Auto generated docs can be found at ``docs/_build/html/index.html``.
I have tried to write reasonable documentation following Google style guide to
every module, file, function and unclear line. So, your editor will be able to 
load at least type annotations to all the functions (if you have one for sure).

Try the following code to display docs about Heroes class:

.. code-block:: python

    >>> from atod import Heroes
    >>> help(Heroes)
    ...


Issues
======
If you have any issues, please, write me an email: *contact@gasabr.me*
bronk 3.2.2
Copy pre-configured text fast into your clipboard by pressing a button in a terminal window.
License: MIT

bronk
=====

Installation
------------

For some reason pip or setuptools do not want to respect the dependency_links attribute. Maybe I am also to dumb to set
it up right ... whatever. Use a patched `urwid` version, which allows for clipped labels in buttons.

`pip install git+https://gitlab.com/networkjanitor/urwid.git`
run-lambda 0.1.7.2
Run AWS Lambda functions locally
License: MIT
Keywords: aws,lambda,run,local,locally

run_lambda
==========

``run_lambda`` is a Python package for running Python
`AWS Lambda <https://aws.amazon.com/lambda/>`_ functions locally. It offers a
Python module for automated testing of Lambda functions, as well as a
command-line interface for ad-hoc local invocations.

Doesn't something like this already exist?
------------------------------------------

Not exactly. There are other programs for locally running Python Lambda
functions. However, all of the other utilities (that I know of) only provide
a command-line tool. A command-line tool is great for quick manual invocations.
However, if you want to create robust, automated tests for your Lambda functions,
a Python module that you can import and call is more appropriate.
``run_lambda`` is unique because it offers both a simple command-line tool for
manual invocations, and an importable Python module for automated tests.

Features
--------

``run_lambda`` supports

- An interface for examining the result (return value, exception, timeout) of
  a function call
- A full implementation of AWS Context objects
- Function calls with or without a timeout
- Resource usage profiling (memory and run-time)
- Convenient mocking of objects and services inside Lambda functions

Installation
------------

The easiest way to install is via ``pip``::

    $ pip install run_lambda

You can also download the source from
`Github <https://www.github.com/ethantkoenig/run_lambda>`_.

Documentation
-------------

Documentation for the package can be found on `Read the Docs <http://run-lambda.readthedocs.io>`_.