remove todo; fix lint

pyro-ppl · May 31, 2019 · 3f735f5 · 3f735f5
1 parent 615ee7a
commit 3f735f5
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diff --git a/examples/bnn.py b/examples/bnn.py
@@ -1,3 +1,8 @@
+"""
+We demonstrate how to use NUTS to do inference on a simple (small)
+Bayesian neural network with two hidden layers.
+"""
+
 import argparse
 
 import matplotlib
@@ -16,15 +21,6 @@
 matplotlib.use('Agg')  # noqa: E402
 
 
-
-
-
-"""
-We demonstrate how to use NUTS to do inference on a simple (small)
-Bayesian neural network with two hidden layers.
-"""
-
-
 # the non-linearity we use in our neural network
 def nonlin(x):
     return np.tanh(x)

diff --git a/setup.py b/setup.py
@@ -18,9 +18,6 @@
     sys.stderr.flush()
     long_description = open('README.md').read()
 
-# TODO: More intelligent way to parse this.
-long_description = '\n'.join([str(line) for line in long_description.split('\n')])
-
 setup(
     name='numpyro',
     version='0.1.0',