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DISTRIB="conda" PYTHON_VERSION="3.5" NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.16.1" SIX_VERSION="1.10.0" COVERAGE="true"

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ccluri 
Fixed #95 and #93 (#96)

* 'Fixed `gauss_2d_large()`.

`kcsd.validation.csd_profile.gauss_2d_large(seed=63)` does not return
NaN anymore.

`repeatUntilValid()` decorator has been defined for that purpose.

A simple test for the fix provided in the `__main__` section of the module.

Note: The issue has not been solved by fixing distribution of
the `zs` variable in order to provide backward-compatibility.

* 2**32 - 1 included as possible alternative seed in the `kcsd.validation.csd_profile.repeatUntilValid()` decorator.

* Protection of `repeatUntilValid()` decorator against (extremely unlikely) neverending loop of seeds.

* `repeatUntilValid()` decorator reffactored
Seed sequence generation moved to `seedSequence()` generator function.

* `seedSequence()` generator function simplified (the generated sequence has changed though).

* Remove unnecessary imports

According to https://docs.python.org/3/library/builtins.html imports
from `builtsin` are unnecessary. As `builtsin` is Python 3 only,
their removal increases beckward-compatibility of the package.

Fixes #77

* `KCSD.values()` vectorized

`KCSD.values()` is approximately 4 times faster.

Fixes Neuroinflab#93

* Increased `KCSD.values()` numerical stability

`inv(K) V` is calculated by solving `K X = V` for `X`
As a side effect `KCSD.values()` is faster.

Fixes Neuroinflab#95

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Source Files on job 204.2 (DISTRIB="conda" PYTHON_VERSION="3.5" NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.16.1" SIX_VERSION="1.10.0" COVERAGE="true")