annotate setup.py @ 168:7603829e7610

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author Jeff Hammel <k0scist@gmail.com>
date Tue, 19 May 2015 19:51:11 -0700
parents 1896743209d3
children f9c87cba1df3
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1 # -*- coding: utf-8 -*-"""
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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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1896743209d3 version bump
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9 version = "0.1"
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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>=0.8.1',
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14 'python-dateutil',
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15 'tempita',
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16 'which']
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17
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18 # allow use of setuptools/distribute or distutils
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19 kw = {}
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20 try:
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21 from setuptools import setup
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22 kw['entry_points'] = """
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5609225fb254 read csv
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23 [console_scripts]
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24 bar-chart = numerics.bar:main
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18c0820bfe12 stub concatenating columns
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25 cat-columns = numerics.cat_columns:main
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26 cleanse = numerics.clean:main
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27 display-fraction = numerics.text_display:main
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0df8bcb6d521 stubbing: unicode histograms
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28 histogram = numerics.histogram:main
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29 interpolate = numerics.interpolation:main
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82a18c9337c3 more stubbing
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30 manipulate = numerics.manipulate:main
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28215de61342 more stubbing
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31 normalize = numerics.normalize:main
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b7d4b7f84883 simple script to compute means
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32 mean = numerics.mean:main
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63bf582841a3 add median
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33 median = numerics.median:main
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5245d7d0c1bf basic usage
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34 plot = numerics.plot:main
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35 read-csv = numerics.read:main
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36 smooth = numerics.smooth:main
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37 sum = numerics.sum:main
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f865bc916593 stub for type inference
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38 types = numerics.convert:main
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39 """
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40 # TODO:
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41 # fold = numerics.fold:main # fold data through functions (reduce)
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42 kw['install_requires'] = dependencies
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43 except ImportError:
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44 from distutils.core import setup
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45 kw['requires'] = dependencies
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46
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47 try:
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48 here = os.path.dirname(os.path.abspath(__file__))
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49 description = file(os.path.join(here, 'README.txt')).read()
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50 except IOError:
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51 description = ''
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54 setup(name='numerics',
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55 version=version,
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56 description="personal experiments in numerics + plotting",
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57 long_description=description,
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58 classifiers=[], # Get strings from http://www.python.org/pypi?%3Aaction=list_classifiers
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59 author='Jeff Hammel',
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60 author_email='k0scist@gmail.com',
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61 url='http://k0s.org/hg/numerics',
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62 license='',
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63 packages=['numerics'],
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64 include_package_data=True,
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65 zip_safe=False,
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66 **kw
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67 )