# See https://github.com/pyenv/pyenv/wiki#suggested-build-environment
build-essential
curl
libbz2-dev
libffi-dev
liblzma-dev
libncurses5-dev
libreadline-dev
libsqlite3-dev
libssl-dev
libxml2-dev
libxmlsec1-dev
llvm
make
openssl
tk-dev
wget
xz-utils
zlib1g-dev
git

# Packages needed to build devtoolset
file
flex
g++
make
patch
rpm2cpio
unar
wget

# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.17.0.a

# Test dependencies
grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0
scipy == 1.11.3
requests == 2.31.0
packaging==23.2
setuptools==68.2.2

# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn8=8.9.6.50-1+cuda12.2
libcudnn8-dev=8.9.6.50-1+cuda12.2

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.

clang-format-12
lld-17
colordiff
curl
ffmpeg
gdb
git
jq
less
libcurl3-dev
libcurl4-openssl-dev
libfreetype6-dev
libhdf5-serial-dev
libomp-17-dev
libssl-dev
libtool
libxml2-dev
libxslt1-dev
libzmq3-dev
mlocate
moreutils
openjdk-11-jdk
openjdk-11-jre-headless
openssl
patchelf
pkg-config
python3-dev
python3-setuptools
rsync
software-properties-common
sudo
swig
unzip
vim

    how we can reproduce your findings. For memory corruption triggerable in
    TensorFlow models, please demonstrate an exploit against one of Alphabet's
    models in <https://tfhub.dev/>
  - An explanation of who can exploit this vulnerability, and what they gain
    when doing so. Write an attack scenario that demonstrates how your issue

[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/1486/badge)](https://bestpractices.coreinfrastructure.org/projects/1486)
[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/tensorflow/tensorflow/badge)](https://securityscorecards.dev/viewer/?uri=github.com/tensorflow/tensorflow)

    [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\msys64;C:\msys64\usr\bin\", \"Machine\");

# Install Go 1.19.1
RUN Invoke-WebRequest "https://go.dev/dl/go1.19.1.windows-amd64.msi" \
        -OutFile C:/TEMP/go_install.msi -UseBasicParsing; \
    Start-Process C:/TEMP/go_install.msi -ArgumentList "/quiet", "/log", "C:/TEMP/go_install_log.txt", \

# See b/279852433 (internal).
# TODO(b/279852433) Replace deps(//tensorflow/...) with deps(//...)
@test "Verify that it's possible to query every TensorFlow target without BUILD errors" {
    bazel query "deps(//tensorflow/...)" > /dev/null
}

teardown_file() {
    bazel shutdown

TensorFlow 2.2 discontinues support for Python 2,
[previously announced](https://groups.google.com/a/tensorflow.org/d/msg/announce/gVwS5RC8mds/dCt1ka2XAAAJ)
as following
[Python 2's EOL on January 1, 2020](https://www.python.org/dev/peps/pep-0373/#update).

Coinciding with this change, new releases of
[TensorFlow's Docker images](https://hub.docker.com/r/tensorflow/tensorflow/)