未验证 提交 72149c16 编写于 作者: L Lei Wang 提交者: GitHub

scripts: clean bash scripts. (#10721)

* scripts: clean bash scripts.

* Fix build related documents.
上级 1ba2581a
......@@ -101,6 +101,3 @@ RUN echo 'root:root' | chpasswd
RUN sed -ri 's/^PermitRootLogin\s+.*/PermitRootLogin yes/' /etc/ssh/sshd_config
RUN sed -ri 's/UsePAM yes/#UsePAM yes/g' /etc/ssh/sshd_config
EXPOSE 22
# development image default do build work
CMD ["bash", "/paddle/paddle/scripts/docker/build.sh"]
......@@ -40,5 +40,3 @@ RUN mkdir -p ${ANDROID_TOOLCHAINS_DIR} && \
unzip -q android-ndk-r14b-linux-x86_64.zip && \
mv android-ndk-r14b ${ANDROID_NDK_HOME} && \
rm -rf /opt/android-ndk-tmp
CMD ["bash", "/paddle/paddle/scripts/docker/build_android.sh"]
......@@ -35,13 +35,11 @@ PaddlePaddle需要使用Docker环境完成编译,这样可以免去单独安
# 2. 可选步骤:源码中构建用于编译PaddlePaddle的Docker镜像
docker build -t paddle:dev .
# 3. 执行下面的命令编译CPU-Only的二进制
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/paddle_build.sh build
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 ./paddle/scripts/paddle_build.sh build
# 4. 或者也可以使用为上述可选步骤构建的镜像(必须先执行第2步)
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddle:dev
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddle:dev ./paddle/scripts/paddle_build.sh build
注:上述命令把当前目录(源码树根目录)映射为 container 里的 :code:`/paddle` 目录。如果使用自行
构建的镜像(上述第4步)会执行 :code:`Dockerfile` 描述的默认入口程序 :code:`build.sh` 可以省略步骤3中
最后的执行脚本的命令。
注:上述命令把当前目录(源码树根目录)映射为 container 里的 :code:`/paddle` 目录。
编译完成后会在build/python/dist目录下生成输出的whl包,可以选在在当前机器安装也可以拷贝到目标机器安装:
......@@ -72,15 +70,15 @@ PaddlePaddle需要使用Docker环境完成编译,这样可以免去单独安
.. code-block:: bash
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/docker/build.sh
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 ./paddle/scripts/paddle_build.sh test
如果期望执行其中一个单元测试,(比如 :code:`test_sum_op` ):
.. code-block:: bash
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 /bin/bash
bash /paddle/paddle/scripts/docker/build.sh
cd /paddle/build
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 /bin/bash
./paddle/scripts/paddle_build.sh build
cd build
ctest -R test_sum_op -V
.. _faq_docker:
......
......@@ -34,14 +34,12 @@ Or you can build your own image from source as the optional step below:
# 2. Optional: build development docker image from source
docker build -t paddle:dev .
# 3. Run the following command to build a CPU-Only binaries
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/paddle_build.sh build
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 ./paddle/scripts/paddle_build.sh build
# 4. Or, use your built Docker image to build PaddlePaddle (must run step 2)
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddle:dev
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddle:dev ./paddle/scripts/paddle_build.sh build
NOTE: The above command try to mount the current working directory (root directory of source code)
into :code:`/paddle` directory inside docker container. If you are using your own image
(Step 4) it will run default entry-point :code:`build.sh` , so you could omit the last
command in step 3.
into :code:`/paddle` directory inside docker container.
When the compile finishes, you can get the output whl package under
build/python/dist, then you can choose to install the whl on local
......@@ -74,15 +72,15 @@ Set :code:`WITH_GPU=ON` Can also run tests on GPU.
.. code-block:: bash
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/paddle/scripts/docker/build.sh
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 ./paddle/scripts/paddle_build.sh test
If you wish to run only one unit test, like :code:`test_sum_op`:
.. code-block:: bash
docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 /bin/bash
bash /paddle/paddle/scripts/docker/build.sh
cd /paddle/build
docker run -it -v $PWD:/paddle -w /paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 /bin/bash
./paddle/scripts/paddle_build.sh build
cd build
ctest -R test_sum_op -V
.. _faq_docker:
......
#!/bin/bash
function cmake_gen() {
mkdir -p /paddle/build
cd /paddle/build
# build script will not fail if *.deb does not exist
rm *.deb 2>/dev/null || true
# delete previous built whl packages
rm -rf /paddle/paddle/dist 2>/dev/null || true
# Support build for all python versions, currently
# including cp27-cp27m and cp27-cp27mu.
PYTHON_FLAGS=""
if [ "$1" != "" ]; then
echo "using python abi: $1"
if [ "$1" == "cp27-cp27m" ]; then
export LD_LIBRARY_PATH=/opt/_internal/cpython-2.7.11-ucs2/lib:${LD_LIBRARY_PATH#/opt/_internal/cpython-2.7.11-ucs4/lib:}
export PATH=/opt/python/cp27-cp27m/bin/:${PATH}
PYTHON_FLAGS="-DPYTHON_EXECUTABLE:FILEPATH=/opt/python/cp27-cp27m/bin/python
-DPYTHON_INCLUDE_DIR:PATH=/opt/python/cp27-cp27m/include/python2.7
-DPYTHON_LIBRARIES:FILEPATH=/opt/_internal/cpython-2.7.11-ucs2/lib/libpython2.7.so"
elif [ "$1" == "cp27-cp27mu" ]; then
export LD_LIBRARY_PATH=/opt/_internal/cpython-2.7.11-ucs4/lib:${LD_LIBRARY_PATH#/opt/_internal/cpython-2.7.11-ucs2/lib:}
export PATH=/opt/python/cp27-cp27mu/bin/:${PATH}
PYTHON_FLAGS="-DPYTHON_EXECUTABLE:FILEPATH=/opt/python/cp27-cp27mu/bin/python
-DPYTHON_INCLUDE_DIR:PATH=/opt/python/cp27-cp27mu/include/python2.7
-DPYTHON_LIBRARIES:FILEPATH=/opt/_internal/cpython-2.7.11-ucs4/lib/libpython2.7.so"
fi
fi
cat <<EOF
========================================
Configuring cmake in /paddle/build ...
-DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE:-Release}
${PYTHON_FLAGS}
-DWITH_DSO=ON
-DWITH_DOC=${WITH_DOC:-OFF}
-DWITH_GPU=${WITH_GPU:-OFF}
-DWITH_AMD_GPU=${WITH_AMD_GPU:-OFF}
-DWITH_DISTRIBUTE=${WITH_DISTRIBUTE:-OFF}
-DWITH_MKL=${WITH_MKL:-ON}
-DWITH_AVX=${WITH_AVX:-OFF}
-DWITH_GOLANG=${WITH_GOLANG:-OFF}
-DCUDA_ARCH_NAME=${CUDA_ARCH_NAME:-All}
-DWITH_SWIG_PY=ON
-DWITH_C_API=${WITH_C_API:-OFF}
-DWITH_PYTHON=${WITH_PYTHON:-ON}
-DWITH_SWIG_PY=${WITH_SWIG_PY:-ON}
-DCUDNN_ROOT=/usr/
-DWITH_TESTING=${WITH_TESTING:-ON}
-DWITH_FAST_BUNDLE_TEST=ON
-DCMAKE_MODULE_PATH=/opt/rocm/hip/cmake
-DCMAKE_EXPORT_COMPILE_COMMANDS=ON
-DWITH_FLUID_ONLY=${WITH_FLUID_ONLY:-OFF}
========================================
EOF
# Disable UNITTEST_USE_VIRTUALENV in docker because
# docker environment is fully controlled by this script.
# See /Paddle/CMakeLists.txt, UNITTEST_USE_VIRTUALENV option.
cmake .. \
-DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE:-Release} \
${PYTHON_FLAGS} \
-DWITH_DSO=ON \
-DWITH_DOC=${WITH_DOC:-OFF} \
-DWITH_GPU=${WITH_GPU:-OFF} \
-DWITH_AMD_GPU=${WITH_AMD_GPU:-OFF} \
-DWITH_DISTRIBUTE=${WITH_DISTRIBUTE:-OFF} \
-DWITH_MKL=${WITH_MKL:-ON} \
-DWITH_AVX=${WITH_AVX:-OFF} \
-DWITH_GOLANG=${WITH_GOLANG:-OFF} \
-DCUDA_ARCH_NAME=${CUDA_ARCH_NAME:-All} \
-DWITH_SWIG_PY=${WITH_SWIG_PY:-ON} \
-DWITH_C_API=${WITH_C_API:-OFF} \
-DWITH_PYTHON=${WITH_PYTHON:-ON} \
-DCUDNN_ROOT=/usr/ \
-DWITH_TESTING=${WITH_TESTING:-ON} \
-DWITH_FAST_BUNDLE_TEST=ON \
-DCMAKE_MODULE_PATH=/opt/rocm/hip/cmake \
-DWITH_FLUID_ONLY=${WITH_FLUID_ONLY:-OFF} \
-DCMAKE_EXPORT_COMPILE_COMMANDS=ON
}
function run_build() {
cat <<EOF
============================================
Building in /paddle/build ...
============================================
EOF
make clean
make -j `nproc`
}
function run_test() {
if [ ${WITH_TESTING:-ON} == "ON" ] && [ ${RUN_TEST:-OFF} == "ON" ] ; then
cat <<EOF
========================================
Running unit tests ...
========================================
EOF
ctest --output-on-failure
# make install should also be test when unittest
make install -j `nproc`
pip install /usr/local/opt/paddle/share/wheels/*.whl
if [[ ${WITH_FLUID_ONLY:-OFF} == "OFF" ]] ; then
paddle version
fi
fi
}
function gen_docs() {
if [[ ${WITH_DOC:-OFF} == "ON" ]]; then
cat <<EOF
========================================
Building documentation ...
In /paddle/build_doc
========================================
EOF
mkdir -p /paddle/build_doc
pushd /paddle/build_doc
cmake .. \
-DWITH_DOC=ON \
-DWITH_GPU=OFF \
-DWITH_AVX=${WITH_AVX:-ON} \
-DWITH_SWIG_PY=ON
make -j `nproc` paddle_docs paddle_apis
popd
fi
if [[ ${WOBOQ:-OFF} == 'ON' ]]; then
cat <<EOF
========================================
Converting C++ source code into HTML ...
========================================
EOF
export WOBOQ_OUT=/paddle/build/woboq_out
mkdir -p $WOBOQ_OUT
cp -rv /woboq/data $WOBOQ_OUT/../data
/woboq/generator/codebrowser_generator \
-b /paddle/build \
-a \
-o $WOBOQ_OUT \
-p paddle:/paddle
/woboq/indexgenerator/codebrowser_indexgenerator $WOBOQ_OUT
fi
}
function gen_dockerfile() {
# Set BASE_IMAGE according to env variables
if [[ ${WITH_GPU} == "ON" ]]; then
BASE_IMAGE="nvidia/cuda:8.0-cudnn7-devel-ubuntu16.04"
else
BASE_IMAGE="ubuntu:16.04"
fi
DOCKERFILE_GPU_ENV=""
DOCKERFILE_CUDNN_DSO=""
if [[ ${WITH_GPU:-OFF} == 'ON' ]]; then
DOCKERFILE_GPU_ENV="ENV LD_LIBRARY_PATH /usr/lib/x86_64-linux-gnu:\${LD_LIBRARY_PATH}"
DOCKERFILE_CUDNN_DSO="RUN ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so.7 /usr/lib/x86_64-linux-gnu/libcudnn.so"
fi
cat <<EOF
========================================
Generate /paddle/build/Dockerfile ...
========================================
EOF
cat > /paddle/build/Dockerfile <<EOF
FROM ${BASE_IMAGE}
MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
ENV HOME /root
EOF
if [[ ${WITH_GPU} == "ON" ]]; then
NCCL_DEPS="apt-get install -y libnccl2=2.1.2-1+cuda8.0 libnccl-dev=2.1.2-1+cuda8.0 &&"
else
NCCL_DEPS=""
fi
if [[ ${WITH_FLUID_ONLY:-OFF} == "OFF" ]]; then
PADDLE_VERSION="paddle version"
CMD='"paddle", "version"'
else
PADDLE_VERSION="true"
CMD='"true"'
fi
cat >> /paddle/build/Dockerfile <<EOF
ADD python/dist/*.whl /
# run paddle version to install python packages first
RUN apt-get update &&\
${NCCL_DEPS}\
apt-get install -y wget python-pip dmidecode python-tk && easy_install -U pip && \
pip install /*.whl; apt-get install -f -y && \
apt-get clean -y && \
rm -f /*.whl && \
${PADDLE_VERSION} && \
ldconfig
${DOCKERFILE_CUDNN_DSO}
${DOCKERFILE_GPU_ENV}
ENV NCCL_LAUNCH_MODE PARALLEL
EOF
if [[ ${WITH_GOLANG:-OFF} == "ON" ]]; then
cat >> /paddle/build/Dockerfile <<EOF
ADD go/cmd/pserver/pserver /usr/bin/
ADD go/cmd/master/master /usr/bin/
EOF
fi
cat >> /paddle/build/Dockerfile <<EOF
# default command shows the paddle version and exit
CMD [${CMD}]
EOF
}
function gen_capi_package() {
if [[ ${WITH_C_API} == "ON" ]]; then
install_prefix="/paddle/build/capi_output"
rm -rf $install_prefix
make DESTDIR="$install_prefix" install
cd $install_prefix/usr/local
ls | egrep -v "^Found.*item$" | xargs tar -cf /paddle/build/paddle.tgz
fi
}
function gen_fluid_inference_lib() {
if [ ${WITH_C_API:-OFF} == "OFF" ] ; then
cat <<EOF
========================================
Deploying fluid inference library ...
========================================
EOF
make -j `nproc` inference_lib_dist
fi
}
set -xe
cmake_gen ${PYTHON_ABI:-""}
run_build
run_test
gen_docs
gen_dockerfile
gen_capi_package
gen_fluid_inference_lib
if [[ ${WITH_C_API:-OFF} == "ON" ]]; then
printf "PaddlePaddle C-API libraries was generated on build/paddle.tgz\n"
else
printf "If you need to install PaddlePaddle in develop docker image,"
printf "please make install or pip install build/python/dist/*.whl.\n"
fi
#!/bin/bash
set -xe
if [ $ANDROID_ABI == "arm64-v8a" ]; then
ANDROID_ARCH=arm64
if [ $ANDROID_API -lt 21 ]; then
echo "Warning: arm64-v8a requires ANDROID_API >= 21."
ANDROID_API=21
fi
else # armeabi, armeabi-v7a
ANDROID_ARCH=arm
fi
ANDROID_STANDALONE_TOOLCHAIN=$ANDROID_TOOLCHAINS_DIR/$ANDROID_ARCH-android-$ANDROID_API
cat <<EOF
============================================
Generating the standalone toolchain ...
${ANDROID_NDK_HOME}/build/tools/make-standalone-toolchain.sh
--arch=$ANDROID_ARCH
--platform=android-$ANDROID_API
--install-dir=${ANDROID_STANDALONE_TOOLCHAIN}
============================================
EOF
${ANDROID_NDK_HOME}/build/tools/make-standalone-toolchain.sh \
--arch=$ANDROID_ARCH \
--platform=android-$ANDROID_API \
--install-dir=$ANDROID_STANDALONE_TOOLCHAIN
BUILD_ROOT=/paddle/build_android
DEST_ROOT=/paddle/install_android
mkdir -p $BUILD_ROOT
cd $BUILD_ROOT
if [ $ANDROID_ABI == "armeabi-v7a" ]; then
cmake -DCMAKE_SYSTEM_NAME=Android \
-DANDROID_STANDALONE_TOOLCHAIN=$ANDROID_STANDALONE_TOOLCHAIN \
-DANDROID_ABI=$ANDROID_ABI \
-DANDROID_ARM_NEON=ON \
-DANDROID_ARM_MODE=ON \
-DHOST_C_COMPILER=/usr/bin/gcc \
-DHOST_CXX_COMPILER=/usr/bin/g++ \
-DCMAKE_INSTALL_PREFIX=$DEST_ROOT \
-DCMAKE_BUILD_TYPE=MinSizeRel \
-DUSE_EIGEN_FOR_BLAS=ON \
-DWITH_C_API=ON \
-DWITH_SWIG_PY=OFF \
..
elif [ $ANDROID_ABI == "arm64-v8a" ]; then
cmake -DCMAKE_SYSTEM_NAME=Android \
-DANDROID_STANDALONE_TOOLCHAIN=$ANDROID_STANDALONE_TOOLCHAIN \
-DANDROID_ABI=$ANDROID_ABI \
-DANDROID_ARM_MODE=ON \
-DHOST_C_COMPILER=/usr/bin/gcc \
-DHOST_CXX_COMPILER=/usr/bin/g++ \
-DCMAKE_INSTALL_PREFIX=$DEST_ROOT \
-DCMAKE_BUILD_TYPE=MinSizeRel \
-DUSE_EIGEN_FOR_BLAS=OFF \
-DWITH_C_API=ON \
-DWITH_SWIG_PY=OFF \
..
elif [ $ANDROID_ABI == "armeabi" ]; then
cmake -DCMAKE_SYSTEM_NAME=Android \
-DANDROID_STANDALONE_TOOLCHAIN=$ANDROID_STANDALONE_TOOLCHAIN \
-DANDROID_ABI=$ANDROID_ABI \
-DANDROID_ARM_MODE=ON \
-DHOST_C_COMPILER=/usr/bin/gcc \
-DHOST_CXX_COMPILER=/usr/bin/g++ \
-DCMAKE_INSTALL_PREFIX=$DEST_ROOT \
-DCMAKE_BUILD_TYPE=MinSizeRel \
-DWITH_C_API=ON \
-DWITH_SWIG_PY=OFF \
..
else
echo "Invalid ANDROID_ABI: $ANDROID_ABI"
fi
cat <<EOF
============================================
Building in $BUILD_ROOT ...
============================================
EOF
make -j `nproc`
make install -j `nproc`
#!/bin/bash
/usr/sbin/sshd -D &
jupyter notebook --ip=0.0.0.0 /paddle/book/
#!/bin/bash
set -e
# the number of process to run tests
NUM_PROC=6
# calculate and set the memory usage for each process
MEM_USAGE=$(printf "%.2f" `echo "scale=5; 1.0 / $NUM_PROC" | bc`)
export FLAGS_fraction_of_gpu_memory_to_use=$MEM_USAGE
# get the CUDA device count
CUDA_DEVICE_COUNT=$(nvidia-smi -L | wc -l)
for (( i = 0; i < $NUM_PROC; i++ )); do
cuda_list=()
for (( j = 0; j < $CUDA_DEVICE_COUNT; j++ )); do
s=$[i+j]
n=$[s%CUDA_DEVICE_COUNT]
if [ $j -eq 0 ]; then
cuda_list=("$n")
else
cuda_list="$cuda_list,$n"
fi
done
echo $cuda_list
# CUDA_VISIBLE_DEVICES http://acceleware.com/blog/cudavisibledevices-masking-gpus
# ctest -I https://cmake.org/cmake/help/v3.0/manual/ctest.1.html?highlight=ctest
env CUDA_VISIBLE_DEVICES=$cuda_list ctest -I $i,,$NUM_PROC --output-on-failure &
done
wait
#!/bin/bash
set -e
# Create the build directory for CMake.
mkdir -p $TRAVIS_BUILD_DIR/build
cd $TRAVIS_BUILD_DIR/build
# Compile Documentation only.
cmake .. -DCMAKE_BUILD_TYPE=Release -DWITH_GPU=OFF -DWITH_MKL=OFF -DWITH_DOC=ON
make -j `nproc` paddle_docs paddle_apis
# check websites for broken links
linkchecker doc/v2/en/html/index.html
linkchecker doc/v2/cn/html/index.html
linkchecker doc/v2/api/en/html/index.html
#!/bin/bash
set -e
# Create the build directory for CMake.
mkdir -p $TRAVIS_BUILD_DIR/build_ios
cd $TRAVIS_BUILD_DIR/build_ios
# Compile paddle binaries
cmake -DCMAKE_SYSTEM_NAME=iOS \
-DIOS_PLATFORM=OS \
-DCMAKE_OSX_ARCHITECTURES="arm64" \
-DWITH_C_API=ON \
-DUSE_EIGEN_FOR_BLAS=ON \
-DWITH_TESTING=OFF \
-DWITH_SWIG_PY=OFF \
-DCMAKE_BUILD_TYPE=Release \
..
make -j 2
#!/bin/bash
function abort(){
echo "Your change doesn't follow PaddlePaddle's code style." 1>&2
echo "Please use pre-commit to check what is wrong." 1>&2
exit 1
}
trap 'abort' 0
set -e
# install glide
curl https://glide.sh/get | bash
eval "$(GIMME_GO_VERSION=1.8.3 gimme)"
# set up go environment for running gometalinter
mkdir -p $GOPATH/src/github.com/PaddlePaddle/
ln -sf $TRAVIS_BUILD_DIR $GOPATH/src/github.com/PaddlePaddle/Paddle
cd $GOPATH/src/github.com/PaddlePaddle/Paddle/go; glide install; cd -
go get github.com/alecthomas/gometalinter
gometalinter --install
cd $TRAVIS_BUILD_DIR
export PATH=/usr/bin:$PATH
pre-commit install
clang-format --version
if ! pre-commit run -a ; then
git diff
exit 1
fi
trap : 0
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