MAINT/CI simplify CIs (#12)

appveyor.yml

@@ -1,3 +1,5 @@
+build: false
+
 environment:
   # There is no need to run the build for all the Python version /
   # architectures combo as the generated nilearn wheel is the same on all
@@ -9,52 +11,24 @@ environment:
       PYTHON_VERSION: "2.7.x"
       PYTHON_ARCH: "64"
 
-    - PYTHON: "C:\\Miniconda"
-      PYTHON_VERSION: "2.7.x"
-      PYTHON_ARCH: "32"
-
-    - PYTHON: "C:\\Miniconda35-x64"
+    - PYTHON: "C:\\Miniconda3-x64"
       PYTHON_VERSION: "3.5.x"
       PYTHON_ARCH: "64"
 
-    - PYTHON: "C:\\Miniconda36-x64"
+    - PYTHON: "C:\\Miniconda3-x64"
       PYTHON_VERSION: "3.6.x"
       PYTHON_ARCH: "64"
 
-    - PYTHON: "C:\\Miniconda36"
-      PYTHON_VERSION: "3.6.x"
-      PYTHON_ARCH: "32"
-
 install:
   # Prepend miniconda installed Python to the PATH of this build
   # Add Library/bin directory to fix issue
   # https://github.com/conda/conda/issues/1753
   - "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PYTHON%\\Library\\bin;%PATH%"
-
-  # Check that we have the expected version and architecture for Python
-  - "python --version"
-  - "python -c \"import struct; print(struct.calcsize('P') * 8)\""
-
-  # Installed prebuilt dependencies from conda
-  - "conda install pip numpy scipy six joblib pandas nose wheel matplotlib -y -q"
-
-  # Install other nilearn dependencies
-  - "pip install fitparse coverage nose-timer pytest pytest-cov"
-  - "python setup.py bdist_wheel"
-  - ps: "ls dist"
-
-  # Install the generated wheel package to test it
-  - "pip install --pre --no-index --find-links dist/ scikit-cycling"
-
-# Not a .NET project, we build in the install step instead
-build: false
+  - conda install pip numpy scipy six joblib pytest pytest-cov -y -q
+  - pip install fitparse
+  - pip install .
 
 test_script:
-  - powershell ./build_tools/appveyor/test.ps1
-
-artifacts:
-  # Archive the generated packages in the ci.appveyor.com build report.
-  - path: dist\*
-
-#on_success:
-#  - TODO: upload the content of dist/*.whl to a public wheelhouse
+  - mkdir for_test
+  - cd for_test
+  - pytest --pyargs skcycling --cov-report term-missing --cov=skcycling