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v0.2.5 - changes to setup.py etc.
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PascalLesage committed Jun 21, 2019
1 parent 0d617f9 commit e230ea4
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8 changes: 8 additions & 0 deletions CHANGES.md
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# 0.2.5 (2019-06-21)

Like 0.2.4, but rereleased due to readme issues

# 0.2.4 (2019-06-21)

Change `DataPackageLoader.parameters` to `ConsolidatedIndexedParameterMapping`

# 0.2.3 (2018-11-13)

Update for API changes in `bw2parameters`.
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1 change: 1 addition & 0 deletions MANIFEST.in
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@@ -1,5 +1,6 @@
recursive-include *.py
include pytest.ini
include LICENSE
include *.png
include *.md
include *.txt
3 changes: 1 addition & 2 deletions README.md
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# presamples ![presamples](https://github.com/PascalLesage/presamples/blob/master/docs/build/_images/presamples_logo.png)

# presamples ![](presamples_logo.png)

Package to write, load, manage and verify numerical arrays, called `presamples`.

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23 changes: 0 additions & 23 deletions README.rst

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2 changes: 1 addition & 1 deletion presamples/__init__.py
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Expand Up @@ -13,7 +13,7 @@
]


__version__ = (0, 2, 3)
__version__ = (0, 2, 5)

from .campaigns import Campaign, PresampleResource
from .indexer import Indexer
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17 changes: 12 additions & 5 deletions setup.py
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Expand Up @@ -14,6 +14,13 @@
pkg = pkg.replace(os.path.altsep, '.')
packages.append(pkg)

f = open('README.md')
readme = f.read()
f.close()

f = open('LICENSE')
license_text = f.read()
f.close()

def package_files(directory):
paths = []
Expand All @@ -25,11 +32,10 @@ def package_files(directory):

setup(
name='presamples',
version="0.2.3",
version="0.2.5",
packages=packages,
author="Pascal Lesage",
author_email="pascal.lesage@polymtl.ca",
license=open('LICENSE').read(),
install_requires=[
'bw2calc',
'bw2data',
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'stats_arrays',
'wrapt',
],
url="https://brightwaylca.org/",
long_description=open('README.rst').read(),
description='Creation and use of presampled values in Monte Carlo for Brightway LCA framework',
url="https://github.com/PascalLesage/presamples",
long_description=readme,
long_description_content_type="text/markdown",
description='Package to write, load, manage and verify numerical arrays, called presamples.',
classifiers=[
'Intended Audience :: End Users/Desktop',
'Intended Audience :: Developers',
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