v0.6

.travis.yml

@@ -17,11 +17,10 @@
 language: python
 
 python:
- - 2.7
- - 3.4
  - 3.5
  - 3.6
- - pypy
+ - 3.7
+ - 3.8
  - pypy3
 
 before_install: travis_retry pip install "setuptools>=17.1" "pbr>=0.11,<1.0" mock coverage

HISTORY.rst

@@ -1,3 +1,7 @@
+0.6.0
+-----
+* Remove support for Python 2
+
 0.5.0
 -----
 * Allow for 280-character tweets

README.md

@@ -2,9 +2,7 @@ twitter markov
 ==============
 
 Create markov chain ("_ebooks") accounts on Twitter.
-
 The audience for this library is those with at least basic Python experience. Before you set this up, you'll need:
-
 * A twitter account
 * A twitter application (register at [dev.twitter.com](http://dev.twitter.com)) with authentication keys for the account ([read more](https://dev.twitter.com/oauth))
 * A text for the bot to learn from, which can be a text file or a Twitter archive. Several thousand lines are needed to get decent results, with fewer than 100 or so it won't work at all.

setup.py

@@ -54,17 +54,17 @@
  'Development Status :: 4 - Beta',
  'Intended Audience :: Developers',
  'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
- 'Programming Language :: Python :: 2.7',
- 'Programming Language :: Python :: 3.4',
  'Programming Language :: Python :: 3.5',
  'Programming Language :: Python :: 3.6',
+ 'Programming Language :: Python :: 3.7',
+ 'Programming Language :: Python :: 3.8',
  'Operating System :: OS Independent',
  ],
 
  zip_safe=True,
 
  install_requires=[
- 'twitter_bot_utils>=0.11.6.post1,<0.12',
+ 'twitter_bot_utils>=0.12.0',
  'markovify>=0.2.4,<0.4',
  'python-Levenshtein>=0.12.0, <0.13',
  'wordfilter>=0.1.8',

twitter_markov/__init__.py

@@ -17,4 +17,4 @@
 from .twitter_markov import TwitterMarkov
 from . import checking
 
-__version__ = "0.5.1"
+__version__ = "0.6.0"