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Configuring the new tag for pyPI release

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Petrônio Cândido 2018-03-05 18:32:23 -03:00
parent 0233728fb0
commit 8f20f3634a
2 changed files with 7 additions and 11 deletions
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8
MANIFEST
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@ -1,8 +0,0 @@
include data/Enrollments.csv
include data/AirPassengers.csv
include data/NASDAQ.csv.bz2
include data/SP500.csv.bz2
include data/sunspots.csv
include data/TAIEX.csv.bz2
include data/INMET.csv.bz2
include data/SONDA_BSB.csv.bz2

10
setup.py
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@ -6,8 +6,7 @@ setup(
'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic', 'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic',
'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate'], 'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate'],
#package_dir={} #package_dir={}
package_data={'benchmarks': ['*'], 'common': ['*'], 'data': ['*'], package_data={'pyFTS.data': ['*.csv','*.csv.bz2']},
'models': ['*'], 'partitioners': ['*'], 'probabilistic': ['*'], 'tests': ['*']},
#data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])], #data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
include_package_data=True, include_package_data=True,
version='1.2.3', version='1.2.3',
@ -17,7 +16,12 @@ setup(
url='https://github.com/petroniocandido/pyFTS', url='https://github.com/petroniocandido/pyFTS',
download_url='https://github.com/petroniocandido/pyFTS/archive/pkg1.2.3.tar.gz', download_url='https://github.com/petroniocandido/pyFTS/archive/pkg1.2.3.tar.gz',
keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'], keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'],
classifiers=[], classifiers=[
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
install_requires=[ install_requires=[
'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels' 'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels'
] ]