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prepare release (#112)
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* prepare release

* fix python version numbers
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mfeurer committed Aug 31, 2020
1 parent b689c2c commit 46ff52e
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6 changes: 4 additions & 2 deletions .travis.yml
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Expand Up @@ -7,7 +7,9 @@ matrix:
- python: 3.6
env: DOCPUSH="true"
- python: 3.7
- python: 3.8-dev
- python: 3.8
- python: 3.9-dev
- python: 3.10-dev
- python: pypy
- python: pypy3

Expand All @@ -28,4 +30,4 @@ deploy:
on:
all_branches: true
condition: $doc_result = "success"
local_dir: docs/build/html
local_dir: docs/build/html
9 changes: 9 additions & 0 deletions CHANGES.rst
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Expand Up @@ -2,6 +2,15 @@
What's New in LIAC-ARFF
~~~~~~~~~~~~~~~~~~~~~~~

LIAC-ARFF 2.5

This is the last release supporting Python 2.

* maintenance: drop support for Python 3.3 and 3.4, add support for Python 3.8
* maintenance: improve compatibility with the upcoming Python 3.10
* maintenance: automatically build the documentation.
* maintenance: fix mypy errors

LIAC-ARFF 2.4

* enhancement: load data progressively with generator `return_type`.
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12 changes: 7 additions & 5 deletions README.rst
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Expand Up @@ -7,15 +7,15 @@ LIAC-ARFF

The liac-arff module implements functions to read and write ARFF files in
Python. It was created in the Connectionist Artificial Intelligence Laboratory
(LIAC), which takes place at the Federal University of Rio Grande do Sul
(LIAC), which takes place at the Federal University of Rio Grande do Sul
(UFRGS), in Brazil.

ARFF (Attribute-Relation File Format) is an file format specially created for
describe datasets which are used commonly for machine learning experiments and
softwares. This file format was created to be used in Weka, the best
softwares. This file format was created to be used in Weka, the best
representative software for machine learning automated experiments.

You can clone the `arff-datasets <https://github.com/renatopp/arff-datasets>`_
You can clone the `arff-datasets <https://github.com/renatopp/arff-datasets>`_
repository for a large set of ARFF files.

--------
Expand All @@ -28,12 +28,12 @@ Features
and lists of dictionaries as used by SVMLight
- Supports the following attribute types: NUMERIC, REAL, INTEGER, STRING, and
NOMINAL;
- Has an interface similar to other built-in modules such as ``json``, or
- Has an interface similar to other built-in modules such as ``json``, or
``zipfile``;
- Supports read and write the descriptions of files;
- Supports missing values and names with spaces;
- Supports unicode values and names;
- Fully compatible with Python 2.7+ and Python 3.5+;
- Fully compatible with Python 2.7+ and Python 3.5-3.8;
- Under `MIT License <http://opensource.org/licenses/MIT>`_

--------------
Expand Down Expand Up @@ -147,6 +147,8 @@ Contributors
- `Calvin Jeong (calvin) <http://ty.pe.kr/>`_
- `Joel Nothman (jnothman) <https://github.com/jnothman>`_
- `Guillaume Lemaitre (glemaitre) <https://github.com/glemaitre>`_
- `Roman Yurchak (rth) <https://github.com/rth>`_
- `Karthikeyan Singaravelan (tirkarthi) <https://github.com/tirkarthi>`_

Project Page
------------
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5 changes: 3 additions & 2 deletions setup.py
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Expand Up @@ -4,8 +4,8 @@
__author_email__ = ('renato.ppontes@gmail.com, '
'feurerm@informatik.uni-freiburg.de, '
'joel.nothman@gmail.com')
__version__ = '2.4.0'
__date__ = '2019 02 06'
__version__ = '2.5.0'
__date__ = '2020 08 31'

try:
import setuptools
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'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: Implementation :: CPython',
'Programming Language :: Python :: Implementation :: PyPy',
'Topic :: Software Development :: Libraries :: Python Modules',
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