Make travis runs less verbose. (#1145)

* make travis runs less verbose

* update

* more -q flags

.travis.yml

@@ -37,7 +37,7 @@ matrix:
         - ./.travis/install-dependencies.sh
         - export PATH="$HOME/miniconda/bin:$PATH"
         - cd doc
-        - pip install -r requirements-doc.txt
+        - pip install -q -r requirements-doc.txt
         - sphinx-build -W -b html -d _build/doctrees source _build/html
         - cd ..
         # Run Python linting.

.travis/install-dependencies.sh

@@ -21,18 +21,18 @@ if [[ "$PYTHON" == "2.7" ]] && [[ "$platform" == "linux" ]]; then
   sudo apt-get update
   sudo apt-get install -y cmake pkg-config build-essential autoconf curl libtool python-dev python-numpy python-pip unzip
   # Install miniconda.
-  wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O miniconda.sh
+  wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O miniconda.sh -nv
   bash miniconda.sh -b -p $HOME/miniconda
   export PATH="$HOME/miniconda/bin:$PATH"
-  pip install numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
+  pip install -q numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
 elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "linux" ]]; then
   sudo apt-get update
   sudo apt-get install -y cmake pkg-config python-dev python-numpy build-essential autoconf curl libtool unzip
   # Install miniconda.
-  wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
+  wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh -nv
   bash miniconda.sh -b -p $HOME/miniconda
   export PATH="$HOME/miniconda/bin:$PATH"
-  pip install numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
+  pip install -q numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
 elif [[ "$PYTHON" == "2.7" ]] && [[ "$platform" == "macosx" ]]; then
   # check that brew is installed
   which -s brew
@@ -41,14 +41,14 @@ elif [[ "$PYTHON" == "2.7" ]] && [[ "$platform" == "macosx" ]]; then
     exit 1
   else
     echo "Updating brew."
-    brew update
+    brew update >/dev/null
   fi
   brew install cmake pkg-config automake autoconf libtool boost
   # Install miniconda.
-  wget https://repo.continuum.io/miniconda/Miniconda2-latest-MacOSX-x86_64.sh -O miniconda.sh
+  wget https://repo.continuum.io/miniconda/Miniconda2-latest-MacOSX-x86_64.sh -O miniconda.sh -nv
   bash miniconda.sh -b -p $HOME/miniconda
   export PATH="$HOME/miniconda/bin:$PATH"
-  pip install numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
+  pip install -q numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
 elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "macosx" ]]; then
   # check that brew is installed
   which -s brew
@@ -57,23 +57,23 @@ elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "macosx" ]]; then
     exit 1
   else
     echo "Updating brew."
-    brew update
+    brew update >/dev/null
   fi
   brew install cmake pkg-config automake autoconf libtool boost
   # Install miniconda.
-  wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O miniconda.sh
+  wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O miniconda.sh -nv
   bash miniconda.sh -b -p $HOME/miniconda
   export PATH="$HOME/miniconda/bin:$PATH"
-  pip install numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
+  pip install -q numpy cloudpickle==0.3.0 cython cmake funcsigs click colorama psutil redis tensorflow gym flatbuffers opencv-python
 elif [[ "$LINT" == "1" ]]; then
   sudo apt-get update
   sudo apt-get install -y cmake build-essential autoconf curl libtool unzip
   # Install miniconda.
-  wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
+  wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh -nv
   bash miniconda.sh -b -p $HOME/miniconda
   export PATH="$HOME/miniconda/bin:$PATH"
   # Install Python linting tools.
-  pip install flake8
+  pip install -q flake8
 elif [[ "$LINUX_WHEELS" == "1" ]]; then
   sudo apt-get install docker
   sudo usermod -a -G docker travis

python/build-wheel-macos.sh

@@ -50,12 +50,12 @@ for ((i=0; i<${#PY_VERSIONS[@]}; ++i)); do
   pushd python
     # Install setuptools_scm because otherwise when building the wheel for
     # Python 3.6, we see an error.
-    $PIP_CMD install setuptools_scm
+    $PIP_CMD install -q setuptools_scm
     # Fix the numpy version because this will be the oldest numpy version we can
     # support.
-    $PIP_CMD install numpy==1.10.4 cython
+    $PIP_CMD install -q numpy==1.10.4 cython
     # Install wheel to avoid the error "invalid command 'bdist_wheel'".
-    $PIP_CMD install wheel
+    $PIP_CMD install -q wheel
     # Add the correct Python to the path and build the wheel. This is only
     # needed so that the installation finds the cython executable.
     INCLUDE_UI=1 PATH=$MACPYTHON_PY_PREFIX/$PY_MM/bin:$PATH $PYTHON_EXE setup.py bdist_wheel

python/build-wheel-manylinux1.sh

@@ -21,7 +21,7 @@ for PYTHON in cp27-cp27mu cp33-cp33m cp34-cp34m cp35-cp35m cp36-cp36m; do
   pushd python
     # Fix the numpy version because this will be the oldest numpy version we can
     # support.
-    /opt/python/${PYTHON}/bin/pip install numpy==1.10.4 cython
+    /opt/python/${PYTHON}/bin/pip install -q numpy==1.10.4 cython
     INCLUDE_UI=1 PATH=/opt/python/${PYTHON}/bin:$PATH /opt/python/${PYTHON}/bin/python setup.py bdist_wheel
     # In the future, run auditwheel here.
     mv dist/*.whl ../.whl/