<commit_before>#!/usr/bin/env python

from setuptools import setup

ENTRY_POINTS = {
    # Entry point used to specify packages containing tutorials accessible
    # from welcome screen. Tutorials are saved Orange Workflows (.ows files).
    'orange.widgets.tutorials': (
        # Syntax: any_text = path.to.package.containing.tutorials
        'exampletutorials = orangecontrib.spark.tutorials',
    ),
    'orange.addons': (
        'Spark = orangecontrib.spark',
    ),

    # Entry point used to specify packages containing widgets.
    'orange.widgets': (
        # Syntax: category name = path.to.package.containing.widgets
        # Widget category specification can be seen in
        #    orangecontrib/spark/widgets/__init__.py
        'Spark Data = orangecontrib.spark.widgets.data',
        'Spark ML = orangecontrib.spark.widgets.ml'
    ),

    # Register widget help
    "orange.canvas.help": (
        'html-index = orangecontrib.spark.widgets:WIDGET_HELP_PATH'
    )
}

NAMESPACES = ["orangecontrib"]
KEYWORDS = (
    # [PyPi](https://pypi.python.org) packages with keyword "orange3 add-on"
    # can be installed using the Orange Add-on Manager
    'orange3 add-ons',
    'Spark',
    'Spark ML',
    'Machine Learning'
)

LONG_DESCRIPTION = open('README.md').read()
LICENSE = open('LICENSE').read()

if __name__ == '__main__':
    setup(
            name = "Orange3-spark",
            version = '0.2.5',
            author = '<NAME>.',
            author_email = '<EMAIL>',
            url = 'https://github.com/jamartinh/Orange-Spark',
            description = 'A series of Widgets for Orange3 to work with Spark ML',
            long_description = LONG_DESCRIPTION,
            license = LICENSE,
            packages = ['orangecontrib',
                        'orangecontrib.spark',
                        'orangecontrib.spark.base',
                        'orangecontrib.spark.utils',
                        'orangecontrib.spark.tutorials',
                        'orangecontrib.spark.widgets',
                        'orangecontrib.spark.widgets.data',
                        'orangecontrib.spark.widgets.ml'],
            package_data = {
                'orangecontrib.spark': ['tutorials/*.ows'],
                'orangecontrib.spark.widgets': ['icons/*'],
            },
            install_requires = [
                'Orange3',
                'pandas',
                'py4j',
                'sqlparse'

            ],
            extras_require = {<commit_msg>bump version to 2.5.6<commit_after>#!/usr/bin/env python

from setuptools import setup

ENTRY_POINTS = {
    # Entry point used to specify packages containing tutorials accessible
    # from welcome screen. Tutorials are saved Orange Workflows (.ows files).
    'orange.widgets.tutorials': (
        # Syntax: any_text = path.to.package.containing.tutorials
        'exampletutorials = orangecontrib.spark.tutorials',
    ),
    'orange.addons': (
        'Spark = orangecontrib.spark',
    ),

    # Entry point used to specify packages containing widgets.
    'orange.widgets': (
        # Syntax: category name = path.to.package.containing.widgets
        # Widget category specification can be seen in
        #    orangecontrib/spark/widgets/__init__.py
        'Spark Data = orangecontrib.spark.widgets.data',
        'Spark ML = orangecontrib.spark.widgets.ml'
    ),

    # Register widget help
    "orange.canvas.help": (
        'html-index = orangecontrib.spark.widgets:WIDGET_HELP_PATH'
    )
}

NAMESPACES = ["orangecontrib"]
KEYWORDS = (
    # [PyPi](https://pypi.python.org) packages with keyword "orange3 add-on"
    # can be installed using the Orange Add-on Manager
    'orange3 add-ons',
    'Spark',
    'Spark ML',
    'Machine Learning'
)

LONG_DESCRIPTION = open('README.md').read()
LICENSE = open('LICENSE').read()

if __name__ == '__main__':
    setup(
            name = "Orange3-spark",
            version = '0.2.6',
            author = '<NAME>.',
            author_email = '<EMAIL>',
            url = 'https://github.com/jamartinh/Orange-Spark',
            description = 'A series of Widgets for Orange3 to work with Spark ML',
            long_description = LONG_DESCRIPTION,
            license = LICENSE,
            packages = ['orangecontrib',
                        'orangecontrib.spark',
                        'orangecontrib.spark.base',
                        'orangecontrib.spark.utils',
                        'orangecontrib.spark.tutorials',
                        'orangecontrib.spark.widgets',
                        'orangecontrib.spark.widgets.data',
                        'orangecontrib.spark.widgets.ml'],
            package_data = {
                'orangecontrib.spark': ['tutorials/*.ows'],
                'orangecontrib.spark.widgets': ['icons/*'],
            },
            install_requires = [
                'Orange3',
                'pandas',
                'py4j',
                'sqlparse'

            ],
            extras_require = {
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