semvec/pypi-packages huggingface dataset:
dircast 0.2
Tool for duplicate directories search.
License: MIT
Keywords: search find duplicate directories folders

dircast
=======

Tool for duplicate directories search.

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

.. code-block:: shell

    pip install dircast

Usage
-----

.. code-block:: shell

    python -m dircast dupdirs *dir* *output*

where:
*dir* is a directory path for scan.
*output* is a file path for result output.
eenum 0.10.0
Extension to the python enum and Enum3.4 libraries
License: MIT
Keywords: tools,enum

EEnum
*****

EEnum is an extension to the python enum library.  It adds some features to
enum and wraps Enum3.4 so it can be used invisibly across python versions.

Installation
============

.. code-block:: bash

    $ pip install eenum

Supports
========

Python eenum has been tested with Python 2.7, 3.5, and 3.6

Docs & Source
=============

Docs: http://python-eenum.readthedocs.io/en/latest/

Source: https://github.com/cltrudeau/eenum
micropython-pprint 0.0.4
Dummy pprint module for MicroPython
License: MIT

This is a dummy implementation of a module for MicroPython standard library.
It contains zero or very little functionality, and primarily intended to
avoid import errors (using idea that even if an application imports a
module, it may be not using it onevery code path, so may work at least
partially). It is expected that more complete implementation of the module
will be provided later. Please help with the development if you are
interested in this module.
flask_datatables 0.6.17
Integrates SQLAlchemy with DataTables (framework Flask)
License: MIT
Keywords: datatables sqlalchemy flask

====================
Flask-restful only version of orf/datatables with Flask-restless style filtering
====================

Additional Functionality
------------
One thing I needed to do so that this would support our needs internally is
to support arbitrary join depth to be able to do search and sort functionality
on the results. With Orf's version, I was only able to order by or search on 2
levels deep of a query result. Now that level is arbitrary such that you can
provide a column on say a Subnet table that is associated with a location
through relations like subnet.vlan.switch.rack.location and make the location name
filterable AND orderable with just "vlan__switch__rack__location__name"

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

The package is available on PyPI and is passing tests on Python 2.7, 3.3 and 3.4
Working on getting this on PyPI

.. code-block:: bash

    pip install flask_datatables

Usage
-----


This is SUPER simple. In datatables I provide a function called get_resource that can be used to create a
datatables api endpoint with full flask-restless style filtering built in.


Additional data such as hyperlinks can be added via DataTable.add_data, which accepts a callable that is called for
each instance. Check out the usage example below for more info.


Example
-------

**models.py**

.. code-block:: python

    class User(Base):
        __tablename__ = 'users'

        id = Column(Integer, primary_key=True)
        full_name = Column(Text)
        created_at = Column(DateTime, default=datetime.datetime.utcnow)



    class Address(Base):
        __tablename__ = 'addresses'

        id = Column(Integer, primary_key=True)
        description = Column(Text)
        user_id = Column(Integer, ForeignKey('users.id'))

        user = relationship("User", backref=backref("address", uselist=False))

        def __repr__(self):
            return "{}".format(self.description)


**api.py**

.. code-block:: python

    from model import Session, User, Address
    from datatables import *

    app = Flask(__name__)
    api = Api(app)
    # add User resource
    resource, path, endpoint = get_resource(Resource, User, Session, basepath="/")
    api.add_resource(resource, path, endpoint=endpoint)

    # add Address resource
    resource, path, endpoint = get_resource(Resource, Address, Session, basepath="/")
    api.add_resource(resource, path, endpoint=endpoint)

    if __name__ == '__main__':
        app.run(host='127.0.0.1', port=5001, debug=True)
dserve 0.1.1
Tool to serve a dataset over HTTP
License: MIT

dserve
======

Tool to serve a dataset over HTTP.

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


:: 

    pip install dserve


Usage
-----

The command below serves the dataset located in ``/path/to/dataset``
on port 8080.

::

    dserve -d path/to/dataset -p 8080

The default port is 5000.

The dataset can also be specified using the ``DSERVE_DATASET_PATH``
environment variable.

::

    export DSERVE_DATASET_PATH=path/to/dataset
    dserve


Dataset creation
----------------

Datasets can be created using the related Python tools:

- `dtoolcore <https://github.com/JIC-CSB/dtoolcore>`_
- `dtool <https://github.com/JIC-CSB/dtool>`_