Mercurial > hg > numerics

annotate setup.py @ 110:5790bcb30bd8

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moar stubbin
author Jeff Hammel <k0scist@gmail.com>
date Sun, 15 Mar 2015 15:28:15 -0700
parents 067aa27050a3
children fe820a3afa48
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1 # -*- coding: utf-8 -*-"""
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2
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3 """
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ef915968d104 put this in the parser so that i can use this in convert
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4 setup packaging script for numerics python package
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5 """
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6
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7 import os
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8
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9 version = "0.0"
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10 dependencies = ['numpy',
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11 'pandas',
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12 'matplotlib',
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13 'bokeh']
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14
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15 # allow use of setuptools/distribute or distutils
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16 kw = {}
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17 try:
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18 from setuptools import setup
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19 kw['entry_points'] = """
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5609225fb254 read csv
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20 [console_scripts]
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21 bar-chart = numerics.bar:main
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18c0820bfe12 stub concatenating columns
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22 cat-columns = numerics.cat_columns:main
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23 display-fraction = numerics.text_display:main
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0df8bcb6d521 stubbing: unicode histograms
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24 histogram = numerics.histogram:main
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25 interpolate = numerics.interpolation:main
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82a18c9337c3 more stubbing
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26 manipulate = numerics.manipulate:main
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b7d4b7f84883 simple script to compute means
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27 mean = numerics.mean:main
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5245d7d0c1bf basic usage
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28 plot = numerics.plot:main
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29 read-csv = numerics.read:main
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c2c92c8da611 add simple smoother
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30 smooth = numerics.smooth:main
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dee0a650bd5a eternally stubbing
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31 sum = numerics.sum:main
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f865bc916593 stub for type inference
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32 types = numerics.convert:main
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33 """
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34 # TODO:
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7dd1b18c9f78 minor cleanup and better error
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35 # cleanse = numerics.clean:main # cleans up outliers
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36 # fold = numerics.fold:main # fold data through functions (reduce)
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37 kw['install_requires'] = dependencies
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38 except ImportError:
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39 from distutils.core import setup
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40 kw['requires'] = dependencies
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41
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42 try:
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43 here = os.path.dirname(os.path.abspath(__file__))
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44 description = file(os.path.join(here, 'README.txt')).read()
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45 except IOError:
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46 description = ''
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47
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49 setup(name='numerics',
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50 version=version,
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51 description="personal experiments in numerics + plotting",
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52 long_description=description,
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53 classifiers=[], # Get strings from http://www.python.org/pypi?%3Aaction=list_classifiers
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54 author='Jeff Hammel',
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55 author_email='k0scist@gmail.com',
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56 url='http://k0s.org/hg/numerics',
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57 license='',
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58 packages=['numerics'],
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59 include_package_data=True,
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60 zip_safe=False,
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61 **kw
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62 )