semvec/pypi-packages huggingface dataset:
sphinxcontrib.datatemplates 0.11.0
Sphinx extension for rendering data files as nice HTML
Requires Python: >=3.8

.. -*- mode: rst -*-

=============================
 sphinxcontrib-datatemplates
=============================

This package contains sphinxcontrb.datatemplates, an extension for
Sphinx to render parts of reStructuredText pages from data files in
formats like JSON, YAML, and CSV.

* Repo: https://github.com/sphinxcontrib/sphinxcontrib.datatemplates
* Docs: http://sphinxcontribdatatemplates.readthedocs.io/

Sample YAML Input
=================

::

    ---
    key1: value1
    key2:
      - list item 1
      - list item 2
      - list item 3
    nested-list:
      - ['a', 'b', 'c']
      - ['A', 'B', 'C']
    mapping-series:
      - cola: a
        colb: b
        colc: c
      - cola: A
        colb: B
        colc: C

Sample Template
===============

::

    .. -*- mode: rst -*-
    
    Individual Item
    ~~~~~~~~~~~~~~~
    
    {{ data['key1'] }}
    
    List of Items
    ~~~~~~~~~~~~~
    
    {% for item in data['key2'] %}
    - {{item}}
    {% endfor %}
    
    Nested List Table
    ~~~~~~~~~~~~~~~~~
    
    Rendering a table from a list of nested sequences using hard-coded
    headers.
    
    {{ make_list_table(
        ['One', 'Two', 'Three'],
        data['nested-list'],
        title='Table from nested lists',
        ) }}
    
    Mapping Series Table
    ~~~~~~~~~~~~~~~~~~~~
    
    Rendering a table from a list of nested dictionaries using dynamic
    headers.
    
    {{ make_list_table_from_mappings(
        [('One', 'cola'), ('Two', 'colb'), ('Three', 'colc')],
        data['mapping-series'],
        title='Table from series of mappings',
        ) }}

Rendered Output
===============

See the `sphinx output
<https://sphinxcontribdatatemplates.readthedocs.io/en/latest/yaml.html#rendered-output>`_ online.
vinci-auth-python-pkg 1.0.5
A simple package to get vinci users auth token

# vinci-auth-python-pkg
A simple package to get vinci users auth token

# Como subir novas versoes
* FaÃ§a suas alteraÃ§Ãµes
* Altere a versÃ£o no arquivo setup.py
* delete as pastas vinci_auth_python_pkg.egg-info, dist e build
* rode os seguintes comandos
    * python setup.py sdist bdist_wheel
    * python -m twine upload dist/*
        * Para auth informe o user __token__
        * E senha informe a que se encontra no .pypirc
EO_Floods 2023.12
An easy to use interface for deriving flood maps from earth observation data

## Introduction
EO-Floods is an easy to use wrapper of Hydrafloods and Google Earth Engine for creating flood maps of Earth Observation (EO) data. This package is aimed at users that do not qualify themselves as remote sensing experts but do want to create usable flood maps from EO.

### Installation
The recommended way to install EO-Floods is by using conda or mamba and the environment.yml.

```
mamba env create -f environment.yml
```

Then activate the environment.yml:

```
conda activate EO-Floods
```

### Earth Engine Authentication
An Earth Engine account is required to use the HydraFloods provider. To authenticate to Earth Engine you need an environment with Earth Engine installed and run the following code with a Python interpreter:
```
import ee
ee.Authenticate()
```
This code will trigger the authentication flow of Earth Engine.

Whenever you use Earth Engine in a script or notebook you first need to initialize the Earth Engine library.
```
import ee
ee.Initialize()
```