NeuralEnsemble / python-neo / 1251

48%

master: 86%

Pull #601

travis-ci

Fix some bugs which I see on my laptop, although apparently they are not caught by Travis or CircleCI?

My env:
conda list
# packages in environment at /Users/andrew/anaconda/envs/neo:
#
alabaster                 0.7.6                    py27_0    http://repo.continuum.io/pkgs/free/osx-64/alabaster-0.7.6-py27_0.tar.bz2
allensdk                  0.12.0                    <pip>
babel                     2.1.1                    py27_0    http://repo.continuum.io/pkgs/free/osx-64/babel-2.1.1-py27_0.tar.bz2
certifi                   2016.2.28                py27_0    defaults
chardet                   3.0.4                     <pip>
coverage                  3.7.1                    py27_0    http://repo.continuum.io/pkgs/free/osx-64/coverage-3.7.1-py27_0.tar.bz2
cython                    0.27                      <pip>
dateutil                  2.1                      py27_2    <unknown>
docutils                  0.12                     py27_0    http://repo.continuum.io/pkgs/free/osx-64/docutils-0.12-py27_0.tar.bz2
enum34                    1.1.6                     <pip>
freetype                  2.4.10                        1    <unknown>
funcsigs                  1.0.2                    py27_0    defaults
future                    0.16.0                    <pip>
h5py                      2.5.0               np110py27_4    http://repo.continuum.io/pkgs/free/osx-64/h5py-2.5.0-np110py27_4.tar.bz2
hdf5                      1.8.15.1                      2    http://repo.continuum.io/pkgs/free/osx-64/hdf5-1.8.15.1-2.tar.bz2
idna                      2.7                       <pip>
igor                      0.2                       <pip>
ipython                   2.3.0                    py27_0    http://repo.continuum.io/pkgs/free/osx-64/ipython-2.3.0-py27_0.tar.bz2
jinja2                    2.8                      py27_0    http://repo.continuum.io/pkgs/free/osx-64/jinja2-2.8-py27_0.tar.bz2
klusta                    3.0.16                    <pip>
l... (continued)

6 of 6 new or added lines in 3 files covered. (100.0%)

12088 of 25064 relevant lines covered (48.23%)

1.93 hits per line