Bump version: 0.1.0-dev0 → 0.1.0-rc0

Downloading archive: ...binaries/ubuntu/14.04/x86_64/python-3.8.tar.bz2
$ curl -sSf --retry 5 -o python-3.8.tar.bz2 ${archive_url}
curl: (22) The requested URL returned error: 404 Not Found
Unable to download 3.8 archive. The archive may not exist.
Please consider a different version.

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.1.0-dev0
+current_version = 0.1.0-rc0
 commit = True
 tag = True
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<build>\d+))?

.travis.yml

@@ -0,0 +1,20 @@
+dist: bionic
+sudo: false
+language: python
+python: 3.8
+# cache:
+#   directories:
+#     - $HOME/.prototorch
+
+install:
+  - pip install . --progress-bar off
+  - pip install codecov
+  - pip install pytest
+
+script:
+  - coverage run -m pytest
+
+# Push the results to codecov
+after_success:
+  - codecov
+  # - bash <(curl -s https://codecov.io/bash)

MANIFEST.in

@@ -1,9 +1,11 @@
 include .bumpversion.cfg
 include LICENSE
 include tox.ini
+include *.yml
 recursive-include docs *.bat
 recursive-include docs *.png
 recursive-include docs *.py
 recursive-include docs *.rst
 recursive-include docs Makefile
 recursive-include examples *.py
+recursive-include tests *.py

README.md

@@ -3,8 +3,13 @@
 ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in
 prototype-based machine learning algorithms.
 
+[![Build Status](https://travis-ci.org/si-cim/prototorch.svg?branch=master)](https://travis-ci.org/si-cim/prototorch)
+[![GitHub version](https://badge.fury.io/gh/si-cim%2Fprototorch.svg)](https://badge.fury.io/gh/si-cim%2Fprototorch)
+[![PyPI version](https://badge.fury.io/py/prototorch.svg)](https://badge.fury.io/py/prototorch)
 ![Tests](https://github.com/si-cim/prototorch/workflows/Tests/badge.svg)
 [![codecov](https://codecov.io/gh/si-cim/prototorch/branch/master/graph/badge.svg)](https://codecov.io/gh/si-cim/prototorch)
+[![Downloads](https://pepy.tech/badge/prototorch)](https://pepy.tech/project/prototorch)
+[![GitHub license](https://img.shields.io/github/license/si-cim/prototorch)](https://github.com/si-cim/prototorch/blob/master/LICENSE)
 
 ## Description
 
@@ -47,3 +52,16 @@ API, with more algorithms and techniques coming soon. If you would simply like
 to be able to use those algorithms to train large ML models on a GPU, ProtoTorch
 lets you do this without requiring a black-belt in high-performance Tensor
 computation.
+
+## Bibtex
+
+If you would like to cite the package, please use this:
+```bibtex
+@misc{Ravichandran2020,
+  author = {Ravichandran, J},
+  title = {ProtoTorch},
+  year = {2020},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/si-cim/prototorch}}
+}

RELEASE.md

@@ -0,0 +1,3 @@
+# Release 0.1.0-dev0
+
+Initial public release of ProtoTorch.

prototorch/__init__.py

@@ -1 +1 @@
-__version__ = '0.1.0-dev0'
+__version__ = '0.1.0-rc0'

setup.py

@@ -10,7 +10,7 @@ with open('README.md', 'r') as fh:
     long_description = fh.read()
 
 setup(name='prototorch',
-      version='0.1.0-dev0',
+      version='0.1.0-rc0',
       description='Highly extensible, GPU-supported '
       'Learning Vector Quantization (LVQ) toolbox '
       'built using PyTorch and its nn API.',

tox.ini

@@ -4,12 +4,12 @@
 # and then run "tox" from this directory.
 
 [tox]
-envlist = py36
+envlist = py36,py37,py38
 
 [testenv]
 deps =
-    numpy
-    unittest-xml-reporting
+    pytest
+    coverage
 commands =
-    python -m xmlrunner -o reports
-
+    pip install -e .
+    coverage run -m pytest