adding conda recipe and travis CI integration

Author: oleksandr-pavlyk

.travis.yml

@@ -0,0 +1,44 @@
+matrix:
+    include:
+        - name: "Linux-Py2"
+          os: linux
+          env:
+            - MINICONDA=Miniconda2-latest-Linux-x86_64.sh
+            - PYVER="--python=27"
+        - name: "Linux-Py3"
+          os: linux
+          env:
+            - MINICONDA=Miniconda3-latest-Linux-x86_64.sh
+            - PYVER=""
+        - name: "OsX-Py2"
+          os: osx
+          osx_image: xcode8
+          env:
+            - MATRIX_EVAL="brew install gcc && CC=gcc-7 && CXX=g++-7"
+            - MINICONDA=Miniconda3-latest-MacOSX-x86_64.sh
+            - MACOSX_DEPLOYMENT_TARGET="10.9"
+            - PYVER="--python=27"
+        - name: "OsX-Py3"
+          os: osx
+          osx_image: xcode8
+          env:
+            - MATRIX_EVAL="brew install gcc && CC=gcc-7 && CXX=g++-7"
+            - MINICONDA=Miniconda3-latest-MacOSX-x86_64.sh
+            - MACOSX_DEPLOYMENT_TARGET="10.9"
+            - PYVER=""
+
+install:
+  - wget https://repo.continuum.io/miniconda/$MINICONDA -O miniconda.sh;
+  - bash miniconda.sh -b -p $HOME/miniconda
+  - export PATH="$HOME/miniconda/bin:$PATH"
+  - hash -r
+  - conda config --set always_yes yes --set changeps1 no
+  - conda update -q conda
+  - conda install conda-build
+  # Useful for debugging any issues with conda
+  - conda info -a
+  - gcc -v
+  - g++ -v
+
+script:
+  - conda build -c intel -c conda-forge $PYVER conda-recipe

conda-recipe/meta.yaml

@@ -0,0 +1,48 @@
+{% set version = "2.0.0" %}
+{% set buildnumber = 0 %}
+
+package:
+    name: mkl-service
+    version: {{ version }}
+
+source:
+    path: ..
+
+build:
+    number: {{ buildnumber }}
+
+requirements:
+    build:
+      - {{ compiler('c') }}
+    host:
+      - python
+      - setuptools
+      - mkl-devel
+      - cython
+      - numpy 1.11.*
+    run:
+      - python
+      - mkl
+      - {{ pin_compatible('numpy') }}
+
+test:
+    commands:
+      - nosetests -v mkl
+    requires:
+      - nose
+    imports:
+      - mkl
+
+about:
+    home: http://github.com/IntelPython/mkl_fft
+    license: BSD 3-Clause
+    license_file: LICENSE.txt
+    description:
+        NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library.
+        Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision
+        with arbitrary memory layout, so long as array strides are multiples of its itemsize.
+    summary: NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library.
+
+extra:
+  recipe-maintainers:
+     - oleksandr-pavlyk