Bump to version 0.1.0 (#182)

* Bump version to 0.1.0

* Bump to version 0.1.0

* remove todo; fix lint

* Change long desc type to markdown

* add __version__

* fix lint

README.md

@@ -1,8 +1,8 @@
-# NumPyro 
-
 [![Build Status](https://travis-ci.com/pyro-ppl/numpyro.svg?branch=master)](https://travis-ci.com/pyro-ppl/numpyro)
 [![Documentation Status](https://readthedocs.org/projects/numpyro/badge/?version=latest)](https://numpyro.readthedocs.io/en/latest/?badge=latest)
 
+# NumPyro
+
 Probabilistic programming with Numpy powered by [JAX](https://github.com/google/jax) for autograd and JIT compilation to GPU/CPU.
 
 ## What is NumPyro?

examples/bnn.py

@@ -1,24 +1,24 @@
-import matplotlib
-matplotlib.use('Agg')  # noqa: E402
-import matplotlib.pyplot as plt
+"""
+We demonstrate how to use NUTS to do inference on a simple (small)
+Bayesian neural network with two hidden layers.
+"""
 
 import argparse
 
+import matplotlib
+import matplotlib.pyplot as plt
 import numpy as onp
-from jax import vmap
+
 import jax.numpy as np
 import jax.random as random
+from jax import vmap
 
 import numpyro.distributions as dist
 from numpyro.handlers import sample, seed, substitute, trace
 from numpyro.hmc_util import initialize_model
 from numpyro.mcmc import mcmc
 
-
-"""
-We demonstrate how to use NUTS to do inference on a simple (small)
-Bayesian neural network with two hidden layers.
-"""
+matplotlib.use('Agg')  # noqa: E402
 
 
 # the non-linearity we use in our neural network

numpyro/__init__.py

@@ -1 +1,2 @@
 import numpyro.patch  # noqa: F401
+from numpyro.version import __version__  # noqa: F401

numpyro/version.py

@@ -0,0 +1 @@
+__version__ = '0.1.0'

setup.py

@@ -1,17 +1,37 @@
 from __future__ import absolute_import, division, print_function
 
+import os
+import sys
+
 from setuptools import find_packages, setup
 
+PROJECT_PATH = os.path.dirname(os.path.abspath(__file__))
+
+# Find version
+for line in open(os.path.join(PROJECT_PATH, 'numpyro', 'version.py')):
+    if line.startswith('__version__ = '):
+        version = line.strip().split()[2][1:-1]
+
+# READ README.md for long description on PyPi.
+try:
+    long_description = open('README.md', encoding='utf-8').read()
+except Exception as e:
+    sys.stderr.write('Failed to convert README.md to rst:\n  {}\n'.format(e))
+    sys.stderr.flush()
+    long_description = ''
+
+
 setup(
     name='numpyro',
-    version='0.0.0',
+    version='0.1.0',
     description='Pyro PPL on Numpy',
     packages=find_packages(include=['numpyro', 'numpyro.*']),
     url='https://github.com/neerajprad/numpyro',
     author='Uber AI Labs',
     author_email='[email protected]',
     install_requires=[
-        'jax>=0.1.35',
+        # TODO: Remove soon as JAX's API becomes stable
+        'jax==0.1.35',
         'jaxlib>=0.1.14',
         'tqdm',
     ],
@@ -21,6 +41,8 @@
         'dev': ['ipython'],
         'examples': ['matplotlib'],
     },
+    long_description=long_description,
+    long_description_content_type='text/markdown',
     tests_require=['flake8', 'pytest>=4.1'],
     keywords='probabilistic machine learning bayesian statistics',
     license='MIT License',