* Added support for the axis parameter of numpy.unique, which became available since numpy.__version__ 1.3.0.

* Fixed doc example. Also fixed typo of the numpy version which added the axis parameter. The version that added axis was 1.13.0, not 1.3.0.

* Made setup.py, conda and travis require numpy >= 1.13.0 in order to get numpy.unique with axis support. Changed test_Unique to test for axis=0 and axis=-1 parameter values. Fixed Unique.infer_shape bugs when axis is not None.

* Updating scipy version to 0.19.1

* Updated miniconda version.

* Fixed Unique Op doc typo. Split tests for Unique axis parameter. Success or failure now depends on numpy version. Added numpy version 1.13.0 and 1.9.1 as test cases in travisCI. Reverted required numpy version down to 1.9.1 in setup.py and conda.

* Fixed Miniconda version to Miniconda2. Changed python3.6 to 3.7 in travisCI tests.

* Fixed Unique Op doc for non axis handling. Changed python 3.7 to 3.6 in travisCI.

* Added export MKL_THREADING_LAYER=GNU to travis script. This seems to be necessary because the updated miniconda2-4.5.11 installs 2018 MKL.

* Fixed doc example when numpy version is < 1.13.0. Changed python 2.7 environment's scipy and libgfortran versions to avoid a build conflict in travisCI. Changed conda python 3.6 environment versions to avoid a build conflict in travisCI.

* Updated numpy 1.13.0 to 1.13.1 in order to have numpy built with mkl support.

* Fixed flake8 formating error.

* Removed Unique examples in doc with axis input. These raised errors with sphinx, and conditional skiping was added in sphinx1.8, which is a higher version than the ones we test with.

* Changed test_basic::test_grad `class O` to `class Obj1` to try to prevent flake8 ambiguous class definition E742 format error in python3.6 environment.

* Hoping this makes sphinx not interpret 'py_' as a target name, which it does not know...

* Changed Sphinx version down to 1.5.1. I had mistakenly thought that sphinx was responsible for downgrading numpy not to use mkl.

* Fixed bug in tests. Instead of passing a function object to assertRaises, I was evaluating the function and passing its result.

* Reduced the ammount of travis builds.

* Removed trailing `<<: *normaltest` from .travis.yml.

* All tests in `test_Unique_axis`, except `test_op`, now raise a `SkipTest` exception when the numpy version is lower than 1.13

* Implemented @nouiz's suggestions.