add yapf style and apply yapf to format all Python files

This recreates pull request #2192

examples/pybullet/gym/pybullet_envs/deep_mimic/learning/nets/__init__.py

@@ -1 +1 @@
-from . import *
+from . import *

examples/pybullet/gym/pybullet_envs/deep_mimic/learning/nets/fc_2layers_1024units.py

@@ -3,11 +3,12 @@ import pybullet_envs.deep_mimic.learning.tf_util as TFUtil
 
 NAME = "fc_2layers_1024units"
 
-def build_net(input_tfs, reuse=False):
-    layers = [1024, 512]
-    activation = tf.nn.relu
 
-    input_tf = tf.concat(axis=-1, values=input_tfs)          
-    h = TFUtil.fc_net(input_tf, layers, activation=activation, reuse=reuse)
-    h = activation(h)
-    return h
+def build_net(input_tfs, reuse=False):
+  layers = [1024, 512]
+  activation = tf.nn.relu
+
+  input_tf = tf.concat(axis=-1, values=input_tfs)
+  h = TFUtil.fc_net(input_tf, layers, activation=activation, reuse=reuse)
+  h = activation(h)
+  return h

examples/pybullet/gym/pybullet_envs/deep_mimic/learning/nets/net_builder.py

@@ -1,11 +1,12 @@
 import pybullet_envs.deep_mimic.learning.nets.fc_2layers_1024units as fc_2layers_1024units
 
-def build_net(net_name, input_tfs, reuse=False):
-    net = None
 
-    if (net_name == fc_2layers_1024units.NAME):
-        net = fc_2layers_1024units.build_net(input_tfs, reuse)
-    else:
-        assert False, 'Unsupported net: ' + net_name
-    
-    return net
+def build_net(net_name, input_tfs, reuse=False):
+  net = None
+
+  if (net_name == fc_2layers_1024units.NAME):
+    net = fc_2layers_1024units.build_net(input_tfs, reuse)
+  else:
+    assert False, 'Unsupported net: ' + net_name
+
+  return net