ImportError: No module named 'argh'

[ghost]

$ sudo -H pip install argh
Requirement already satisfied: argh in /usr/local/lib/python2.7/dist-packages

Then:

$ python3 main.py preprocess games/*
Traceback (most recent call last):
  File "main.py", line 2, in <module>
    import argh
ImportError: No module named 'argh'

Using 64-bit Xubuntu Linux:

$ python3 --version
Python 3.5.2

[prescod]

pip install argh
pip install gtp
pip install sgf

[prescod]

In general you should use pip install -r requirements.txt but you may have a challenge with the TensorFlow version as I did. I ended up pip installing the latest TensorFlow.

[ghost]

I changed the last line of requirements.txt to:

tensorflow>=0.9.0rc0

Then:

mkdir $HOME/temp
cd $HOME/temp
git clone https://github.com/brilee/MuGo.git
cd MuGo
unzip $HOME/archives/professional-go-games.zip (NB: creates "games/" directory)
sudo apt install virtualenv
virtualenv -p python3 py3
source py3/bin/activate
pip install -r requirements.txt
python3 main.py preprocess games/*

This resulted in:

$ python3 main.py preprocess games/*
WARNING:tensorflow:From /home/username/temp/MuGo/policy.py:187 in StatisticsCollector.: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
WARNING:tensorflow:From /home/username/temp/MuGo/policy.py:188 in StatisticsCollector.: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
WARNING:tensorflow:From /home/username/temp/MuGo/policy.py:189 in StatisticsCollector.: merge_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.merge.
3369 sgfs found.
Estimated number of chunks: 164
Allocating 0 positions as test; remainder as training
Writing test chunk
Traceback (most recent call last):
  File "main.py", line 81, in <module>
    argh.dispatch(parser)
  File "/home/username/temp/MuGo/py3/lib/python3.5/site-packages/argh/dispatching.py", line 174, in dispatch
    for line in lines:
  File "/home/username/temp/MuGo/py3/lib/python3.5/site-packages/argh/dispatching.py", line 277, in _execute_command
    for line in result:
  File "/home/username/temp/MuGo/py3/lib/python3.5/site-packages/argh/dispatching.py", line 260, in _call
    result = function(*positional, **keywords)
  File "main.py", line 47, in preprocess
    process_raw_data(*data_sets, processed_dir=processed_dir)
  File "/home/username/temp/MuGo/load_data_sets.py", line 153, in process_raw_data
    test_dataset = DataSet.from_positions_w_context(test_chunk, is_test=True)
  File "/home/username/temp/MuGo/load_data_sets.py", line 105, in from_positions_w_context
    positions, next_moves, results = zip(*positions_w_context)
ValueError: not enough values to unpack (expected 3, got 0)

[greatken999]

use "pip3 install argh" when you use python3

[brilee]

Yeah, looks like a python3/pip3 mismatch issue to me.