fix: more py36 fixes and doc updates

Author: satra

.circle/tests.sh

@@ -17,24 +17,24 @@ fi
 # They may need to be rebalanced in the future.
 case ${CIRCLE_NODE_INDEX} in
   0)
-    docker run --rm=false -it -e FSL_COURSE_DATA="/data/examples/nipype-fsl_course_data" -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_pytests.sh && \
+    docker run --rm=false -it -e FSL_COURSE_DATA="/data/examples/nipype-fsl_course_data" -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_pytests.sh && \
     docker run --rm=false -it -e FSL_COURSE_DATA="/data/examples/nipype-fsl_course_data" -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py27 /usr/bin/run_pytests.sh && \
-    docker run --rm=false -it -v $WORKDIR:/work -w /src/nipype/doc nipype/nipype:py35 /usr/bin/run_builddocs.sh && \
-    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh test_spm Linear /data/examples/ workflow3d && \
-    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh test_spm Linear /data/examples/ workflow4d
+    docker run --rm=false -it -v $WORKDIR:/work -w /src/nipype/doc nipype/nipype:py36 /usr/bin/run_builddocs.sh && \
+    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh test_spm Linear /data/examples/ workflow3d && \
+    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh test_spm Linear /data/examples/ workflow4d
     ;;
   1)
-    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh fmri_spm_dartel Linear /data/examples/ level1 && \
-    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh fmri_spm_dartel Linear /data/examples/ l2pipeline
+    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh fmri_spm_dartel Linear /data/examples/ level1 && \
+    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh fmri_spm_dartel Linear /data/examples/ l2pipeline
     ;;
   2)
     docker run --rm=false -it -e NIPYPE_NUMBER_OF_CPUS=4 -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py27 /usr/bin/run_examples.sh fmri_spm_nested MultiProc /data/examples/ level1 && \
-    docker run --rm=false -it -e NIPYPE_NUMBER_OF_CPUS=4 -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh fmri_spm_nested MultiProc /data/examples/ l2pipeline
+    docker run --rm=false -it -e NIPYPE_NUMBER_OF_CPUS=4 -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh fmri_spm_nested MultiProc /data/examples/ l2pipeline
     ;;
   3)
-    docker run --rm=false -it -e NIPYPE_NUMBER_OF_CPUS=4 -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh fmri_spm_nested MultiProc /data/examples/ level1 && \
-    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh fmri_fsl_feeds Linear /data/examples/ l1pipeline && \
-    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py35 /usr/bin/run_examples.sh fmri_fsl_reuse Linear /data/examples/ level1_workflow
+    docker run --rm=false -it -e NIPYPE_NUMBER_OF_CPUS=4 -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh fmri_spm_nested MultiProc /data/examples/ level1 && \
+    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh fmri_fsl_feeds Linear /data/examples/ l1pipeline && \
+    docker run --rm=false -it -v $HOME/examples:/data/examples:ro -v $WORKDIR:/work -w /work nipype/nipype:py36 /usr/bin/run_examples.sh fmri_fsl_reuse Linear /data/examples/ level1_workflow
     ;;
 esac
 

doc/devel/testing_nipype.rst

@@ -109,16 +109,17 @@ Testing Nipype using Docker
 
 As of :code:`nipype-0.13`, Nipype is tested inside Docker containers. First, install the
 `Docker Engine <https://docs.docker.com/engine/installation/>`_.
-Nipype has one base docker image called nipype/nipype, and several additional test images
+Nipype has one base docker image called nipype/base:latest, and several additional test images
 for various Python versions.
 
-The base nipype/nipype image is built as follows::
+The base nipype image is built as follows::
 
   cd path/to/nipype/
-  docker build -t nipype/nipype .
+  docker build -t nipype/base:latest -f docker/base.Dockerfile .
+
+This base image contains several useful tools (FreeSurfer, AFNI, FSL, ANTs, etc.),
+but not nipype.
 
-This base image contains several useful tools (FreeSurfer, AFNI, FSL, ANTs, etc.) and
-a nipype installation, all in Python 3.5.
 It is possible to fetch a built image from the latest master branch of nipype
 using::
 
@@ -128,26 +129,15 @@ using::
 The docker run command will then open the container and offer a bash shell for the
 developer.
 
-The additional test images have several test scripts installed. For instance,
-to build and run all tests on Python 2.7::
-
-  cd path/to/nipype/
-  docker build -f docker/Dockerfile_py27 -t nipype/nipype_test:py27 .
-  docker run -it --rm -e FSL_COURSE_DATA="/root/examples/nipype-fsl_course_data" \
-                      -v ~/examples:/root/examples:ro \
-                      -v ~/scratch:/scratch \
-                      -w /root/src/nipype \
-                      nipype/nipype_test:py27 /usr/bin/run_pytests.sh
-
-For running nipype in Python 3.5::
+For building a continer for running nipype in Python 3.6::
 
   cd path/to/nipype/
-  docker build -f docker/Dockerfile_py35 -t nipype/nipype_test:py35 .
+  docker build -f Dockerfile -t nipype/nipype_test:py36 .
   docker run -it --rm -e FSL_COURSE_DATA="/root/examples/nipype-fsl_course_data" \
                       -v ~/examples:/root/examples:ro \
                       -v ~/scratch:/scratch \
                       -w /root/src/nipype \
-                      nipype/nipype_test:py35 /usr/bin/run_pytests.sh
+                      nipype/nipype_test:py36 /usr/bin/run_pytests.sh
 
-The last two examples assume that the example data is downladed into ~/examples and
+The last examples assume that the example data is downladed into ~/examples and
 the ~/scratch folder will be created if it does not exist previously.