Mercurial > hg > numerics

annotate setup.py @ 54:bbfe25d23a9f

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notes to self re fitting Skinny Puppy reference
author Jeff Hammel <k0scist@gmail.com>
date Tue, 20 Jan 2015 15:54:06 -0800
parents ef915968d104
children 82a18c9337c3
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1 """
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ef915968d104 put this in the parser so that i can use this in convert
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2 setup packaging script for numerics python package
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3 """
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4
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5 import os
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6
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7 version = "0.0"
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8 dependencies = ['numpy',
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9 'pandas',
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10 'matplotlib',
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11 'bokeh']
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12
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13 # allow use of setuptools/distribute or distutils
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14 kw = {}
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15 try:
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16 from setuptools import setup
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17 kw['entry_points'] = """
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5609225fb254 read csv
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18 [console_scripts]
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19 interpolate = numerics.interpolation:main
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5245d7d0c1bf basic usage
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20 plot = numerics.plot:main
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21 read-csv = numerics.read:main
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c2c92c8da611 add simple smoother
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22 smooth = numerics.smooth:main
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dee0a650bd5a eternally stubbing
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23 sum = numerics.sum:main
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f865bc916593 stub for type inference
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24 types = numerics.convert:main
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25 """
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bbfe25d23a9f notes to self re fitting Skinny Puppy reference
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26 # TODO:
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27 # cleanse = numerics.clean:main
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28 # fold = numerics.fold:main
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29 # manipulate = numerics.manipulate:main
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30 kw['install_requires'] = dependencies
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31 except ImportError:
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32 from distutils.core import setup
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33 kw['requires'] = dependencies
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34
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35 try:
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36 here = os.path.dirname(os.path.abspath(__file__))
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37 description = file(os.path.join(here, 'README.txt')).read()
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38 except IOError:
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39 description = ''
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41
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42 setup(name='numerics',
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43 version=version,
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44 description="personal experiments in numerics + plotting",
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45 long_description=description,
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46 classifiers=[], # Get strings from http://www.python.org/pypi?%3Aaction=list_classifiers
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47 author='Jeff Hammel',
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48 author_email='k0scist@gmail.com',
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49 url='http://k0s.org/hg/numerics',
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50 license='',
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51 packages=['numerics'],
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52 include_package_data=True,
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53 zip_safe=False,
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54 **kw
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55 )