semvec/pypi-packages huggingface dataset:
brainbox-ibl 1.0.0
International Brain Laboratory data pipeline library
License: MIT
Requires Python: >=3.6

# IBL Python Libraries

[![Build Status on master](https://travis-ci.org/cortex-lab/alyx.svg?branch=master)](https://travis-ci.org/cortex-lab/alyx)
[![Build Status on dev](https://travis-ci.org/cortex-lab/alyx.svg?branch=dev)](https://travis-ci.org/cortex-lab/alyx)

## Description
Library used to implement the International Brain Laboratory data pipeline.
The library as currently 3 main modules:
-   **alf**: the ALF
-   **ibllib**: general purpose library containng I/O, signal processing and IBL data pipelines utilities.
-   **oneibl**: interface to the Alyx database of experiments to access IBL data.

## Requirements
**OS**: Deployed on Linux and Windows. Minimally tested for Mac.

**Python Module**: Python 3.6 or higher, we develop on 3.7.

## Documentation
https://ibllib.readthedocs.io/en/latest/

## Installation
https://ibllib.readthedocs.io/en/latest/02_installation_python.html#

## Demonstration
https://ibllib.readthedocs.io/en/latest/_static/one_demo.html


## Contribution and development practices
See developper's installation guide here: https://ibllib.readthedocs.io/en/latest/02_installation_dev_python.html

We use gitflow and Semantic Versioning.

Before commiting to your branch:
-   run tests
-   flake8
This is also enforced by continuous integration.


## Matlab Library
The Matlab library has moved to its own repository here: https://github.com/int-brain-lab/ibllib-matlab/
boaconstrictor 1.4.2
Compiler for the BoaConstrictor programming language.
License: MIT

# BoaConstrictor
## Simplicity rocks!
### Why!?!?:
To make a New and Improved coding language.
You see, whenever I look up Python on Reddit, people are always saying
that they wish there was a language which combines the simple syntax of
Python with the simple grammar of C++. Intruiged by the idea, I did a some
looking around to see if such a language exists. Unfortunately, however,
I quickly found that are no such languages. As a result, I decided to make a 
new programming language, which would combine these features. In
addition, I wanted to still be able to use ANY python module in your code. So, 
after several months of work, here is the end product: BoaConstrictor. In
addition, you can use ANY python module in your code.

### Installation using PIP:
``` pip install boaconstrictor ```

### Usage:
``` C:\Users\foo> boaconstrictor ```
You will then be prompted to enter a filename. This must be a valid path to
a *.boa file. Enter a file-path, and then press <<enter>>.

### Example code:
```python
using time
function main(){
    cout "Hello, world!"
    x = 3.5
}
```

If you have any questions, contact me via email. My address is thescribe11@gmail.com.

# CHANGELOG:
V 1.2.2: Fixed escape characters.

V 1.2.3: Fixed problems with the Print and Input functions.

V 1.2.4: Fixed the output filename problem with V 1.2.3.

V 1.2.9: Added ```end``` keyword, fixed the glitch which was causing always to output to 'output.exe'.

V 1.2.10: Fixed ```end``` keyword implementation problem.

V 1.2.11: Got everything up and working, releasing to PyPI.

V 1.3.3: Reworked compilation algorithm to be faster, fixed 'cin' statement, changed command-line operation.
abc-graphene-sqlalchemy 2.2.4
Custom Extension of the original Graphene SQLAlchemy integration
License: MIT
Keywords: api graphql protocol rest relay graphene

Please read
`UPGRADE-v2.0.md <https://github.com/graphql-python/graphene/blob/master/UPGRADE-v2.0.md>`__
to learn how to upgrade to Graphene ``2.0``.

--------------

|Graphene Logo| Graphene-SQLAlchemy |Build Status| |PyPI version| |Coverage Status|
===================================================================================

A `SQLAlchemy <http://www.sqlalchemy.org/>`__ integration for
`Graphene <http://graphene-python.org/>`__.

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

For instaling graphene, just run this command in your shell

.. code:: bash

    pip install "graphene-sqlalchemy>=2.0"

Examples
--------

Here is a simple SQLAlchemy model:

.. code:: python

    from sqlalchemy import Column, Integer, String
    from sqlalchemy.orm import backref, relationship

    from sqlalchemy.ext.declarative import declarative_base

    Base = declarative_base()

    class UserModel(Base):
        __tablename__ = 'department'
        id = Column(Integer, primary_key=True)
        name = Column(String)
        last_name = Column(String)

To create a GraphQL schema for it you simply have to write the
following:

.. code:: python

    from abc_graphene_sqlalchemy import SQLAlchemyObjectType

    class User(SQLAlchemyObjectType):
        class Meta:
            model = UserModel

    class Query(graphene.ObjectType):
        users = graphene.List(User)

        def resolve_users(self, info):
            query = User.get_query(info)  # SQLAlchemy query
            return query.all()

    schema = graphene.Schema(query=Query)

Then you can simply query the schema:

.. code:: python

    query = '''
        query {
          users {
            name,
            lastName
          }
        }
    '''
    result = schema.execute(query, context_value={'session': db_session})

To learn more check out the following `examples <examples/>`__:

-  **Full example**: `Flask SQLAlchemy
   example <examples/flask_sqlalchemy>`__

Contributing
------------

After cloning this repo, ensure dependencies are installed by running:

.. code:: sh

    python setup.py install

After developing, the full test suite can be evaluated by running:

.. code:: sh

    python setup.py test # Use --pytest-args="-v -s" for verbose mode

.. |Graphene Logo| image:: http://graphene-python.org/favicon.png
.. |Build Status| image:: https://travis-ci.org/graphql-python/graphene-sqlalchemy.svg?branch=master
   :target: https://travis-ci.org/graphql-python/graphene-sqlalchemy
.. |PyPI version| image:: https://badge.fury.io/py/graphene-sqlalchemy.svg
   :target: https://badge.fury.io/py/graphene-sqlalchemy
.. |Coverage Status| image:: https://coveralls.io/repos/graphql-python/graphene-sqlalchemy/badge.svg?branch=master&service=github
   :target: https://coveralls.io/github/graphql-python/graphene-sqlalchemy?branch=master