Traceback (most recent call last):

 "/usr/local/bin/douban.fm", line 9, in <module>
load_entry_point('douban.fm==0.4.13', 'console_scripts', 'douban.fm')()

 "/usr/local/lib/python2.7/dist-packages/doubanfm/douban.py", line 87, in
main
Router()

 "/usr/local/lib/python2.7/dist-packages/doubanfm/douban.py", line 46, in
**init**
self.data = data.Data()

 "/usr/local/lib/python2.7/dist-packages/doubanfm/data.py", line 23, in __
init__
self.playlist = Playlist()

 "/usr/local/lib/python2.7/dist-packages/doubanfm/model.py", line 38, in _
_init__
self._get_first_song()

 "/usr/local/lib/python2.7/dist-packages/doubanfm/model.py", line 55, in _
func
return func(_args, *_kwargs)

 "/usr/local/lib/python2.7/dist-packages/doubanfm/model.py", line 77, in _
get_first_song
song = douban.get_first_song()

 "/usr/local/lib/python2.7/dist-packages/doubanfm/API/api.py", line 144, i
n get_first_song
return self.requests_url('n')

 "/usr/local/lib/python2.7/dist-packages/doubanfm/API/api.py", line 135, i
n requests_url
raise APIError(err)doubanfm.exceptions.APIError: No JSON object could be decoded
Traceback (most recent call last):

 "/home/daniel/Documents/Projects/headgen/bazel-bin/textsum/seq2seq_attention.runfiles/__main__/textsum/seq2seq_attention.py", line 212, in <module>
tf.app.run()

 "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))

 "/home/daniel/Documents/Projects/headgen/bazel-bin/textsum/seq2seq_attention.runfiles/__main__/textsum/seq2seq_attention.py", line 208, in main
decoder.DecodeLoop()

 "/home/daniel/Documents/Projects/headgen/textsum/seq2seq_attention_decode.py", line 101, in DecodeLoop
if not self._Decode(self._saver, sess):

 "/home/daniel/Documents/Projects/headgen/textsum/seq2seq_attention_decode.py", line 140, in _Decode
best_beam = bs.BeamSearch(sess, article_batch_cp, article_lens_cp)[0]

 "/home/daniel/Documents/Projects/headgen/textsum/beam_search.py", line 113, in BeamSearch
sess, latest_tokens, enc_top_states, states)

 "/home/daniel/Documents/Projects/headgen/textsum/seq2seq_attention_model.py", line 283, in decode_topk
feed_dict=feed)

 "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 717, in run
run_metadata_ptr)

 "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 864, in _run
feed_dict = nest.flatten_dict_items(feed_dict)

 "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/nest.py", line 186, in flatten_dict_items
% (len(flat_i), len(flat_v), flat_i, flat_v))ValueError: Could not flatten dictionary. Key had 2 elements, but value had 1 elements. Key: [<tf.Tensor 'seq2seq/encoder3/BiRNN/FW/FW/cond_119/Merge_1:0' shape=(4, 256) dtype=float32>, <tf.Tensor 'seq2seq/encoder3/BiRNN/FW/FW/cond_119/Merge_2:0' shape=(4, 256) dtype=float32>], value: [array([[[ 1.82187247,
1.01413488, -3.0360837 , ...,
4.59846687,