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MANIFEST.in

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recursive-include ./core *
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recursive-include ./redblackpy *
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recursive-include ./benchmark *
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recursive-include ./series *
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recursive-include ./tree_cython_api *
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recursive-include ./setup_tools *
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recursive-include ./cython_source *
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setup.py

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from setuptools.command.build_ext import build_ext
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from distutils.extension import Extension
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from Cython.Build import cythonize
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from setup_tools.code_generation import generate_from_cython_src
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from setup_tools.types import TYPES
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from rbp_setup_tools.code_generation import generate_from_cython_src
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from rbp_setup_tools.types import TYPES
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if platform.system() == 'Darwin':
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url='https://intuitionengineeringteam.github.io/RedBlackPy/',
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download_url='https://github.com/IntuitionEngineeringTeam/RedBlackPy/archive/master.zip',
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zip_safe=False,
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packages=['redblackpy', 'redblackpy.series', 'redblackpy.benchmark'],
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packages=[ 'redblackpy', 'redblackpy.series',
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'redblackpy.benchmark', 'rbp_setup_tools' ],
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package_data={'redblackpy.series': ['*.pxd']},
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license='Apache License 2.0' )
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license='Apache License 2.0',
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long_description='RedBlackPy is a light Python library that provides data structures \
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aimed to fast insertion, removal and self sorting to manipulating ordered data in efficient way.\
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The core part of the library had been written on C++ and then was wrapped in Cython. \
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Hope that many would find the primary data structures of this library very handy in working \
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with time series. One of the main feature of this structures is an access by arbitrary \
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key using interpolation, what makes processing of multiple non synchronized time series very simple.\
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All data structures based on red black trees.' )

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