semvec/pypi-packages huggingface dataset:
guerilla-transform-stack 0.0.1
Manipulate Guerilla transform stack as Python object.
License: MIT
Requires Python: >=2.7
Keywords: guerilla,transform,stack

# guerilla-transform-stack

`guerilla_transform_stack` is a Python package to manipulate Guerilla transform
stack as Python object.

This package expose `TransformStack`, a wrapper class around the Guerilla
transform stack of a scene graph node.

## Usage

The first step is to wrap the Guerilla node with `TransformStack` class:  

```pycon
>>> import guerilla
>>> import guerilla_transform_stack as gts
>>> node = guerilla.pynode('mynode')
>>> node_ts = gts.TransformStack(node)
>>> node_ts
TransformStack('mynode')
```

Then you can add, access and manipulate transforms:

```pycon
>>> node_ts.is_empty
True
>>> euler = node_ts.add('euler')  # Create an euler transform.
>>> euler
TransformEuler('mynode|Euler')
>>> node_ts['Euler']  # Access transform from its name.
TransformEuler('mynode|Euler')
>>> target = node_ts.add('target')
>>> target.is_on_top  # New transform nodes are added on top.
True
>>> len(node_ts)  # Get transform count.
2
>>> target.move_down()
>>> target.move_up()
>>> node_ts.top
TransformTarget('mynode|Target')
>>> euler_tmp = node_ts.add('euler')
>>> euler_tmp.delete()  # Remove transform.
```

Transform stack object can be iterated (from bottom to top):

```pycon
>>> for transform in node_ts:
...   print transform
...
TransformEuler('mynode|Euler')
TransformTarget('mynode|Target')
```

Original Guerilla node is accessible with the `node` property:

```pycon
>>> node_ts.node
<guerilla.SceneGraphNode object at 0x7f34498eb490>
```
turbo-stream 0.0.8
A module for down-streaming data from a selection of vendors.
License: MIT
Keywords: pip,google_analytics,google_search_console

# turbo-stream

A module for down-streaming data from a selection of vendors.

[![tests](https://github.com/DirksCGM/turbo-stream/actions/workflows/tests.yml/badge.svg)](https://github.com/DirksCGM/turbo-stream/actions/workflows/tests.yml)
[![publish to pypi](https://github.com/DirksCGM/turbo-stream/actions/workflows/publish.yml/badge.svg)](https://github.com/DirksCGM/turbo-stream/actions/workflows/publish.yml)
![PyPI](https://img.shields.io/pypi/v/turbo_stream)
![PyPI - Downloads](https://img.shields.io/pypi/dm/turbo_stream)
[![CodeQL](https://github.com/DirksCGM/turbo-stream/actions/workflows/codeql-analysis.yml/badge.svg)](https://github.com/DirksCGM/turbo-stream/actions/workflows/codeql-analysis.yml)

The solution is still under early stages of development, along with the wiki that can be found [Here](https://github.com/DirksCGM/turbo-stream.wiki.git).

Current support includes:
* [Google Analytics V4 Reporting Api](https://github.com/DirksCGM/turbo-stream/wiki/Google-Analytics-V4-Reporting-Api)
* [Google Search Console Api](https://github.com/DirksCGM/turbo-stream/wiki/Google-Search-Console-Api)