<property name="maven.release.repo.url" value="https://oss.sonatype.org/content/repositories/releases" />

	<target name="install.plugins">
		<mkdir dir="${target.dir}" />
		<delete dir="${plugins.dir}" />
		<mkdir dir="${plugins.dir}" />
		<!-- analysis-extension -->
		<antcall target="install.plugin">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="plugin.groupId" value="org/codelibs/opensearch" />

# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  if [[ "$TFCI_PYTHON_VERSION" == "3.13" ]]; then
    "$python" -m pip install numpy==1.26.4
  else
    "$python" -m pip install numpy==1.26.0
  fi
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then

################################################################################

# Install devtoolset build dependencies
COPY setup.sources.sh /setup.sources.sh
COPY setup.packages.sh /setup.packages.sh
COPY builder.packages.txt /builder.packages.txt

RUN /setup.sources.sh && /setup.packages.sh /builder.packages.txt

# Install devtoolset-9 in /dt9 with glibc 2.17 and libstdc++ 4.8, for building
# manylinux2014-compatible packages.

BSD-style license found in the LICENSE file.

### Download and Install

#### Binary Distributions

Official binary distributions are available at https://go.dev/dl/.

After downloading a binary release, visit https://go.dev/doc/install
for installation instructions.

#### Install From Source

If a binary distribution is not available for your combination of

       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).

```gitignore
*
```

///

## Install Packages { #install-packages }

After activating the environment, you can install packages in it.

/// tip

Do this **once** when installing or upgrading the packages your project needs.

If you need to upgrade a version or add a new package you would **do this again**.

///

### Install Packages Directly { #install-packages-directly }

  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools


# For Python 3.13t, do not install twine as it does not have pre-built wheels

/// info

To receive uploaded files and/or form data, first install <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example:

```console
$ pip install python-multipart
```

///

#
# setup.python.sh: Install a specific Python version and packages for it.
# Usage: setup.python.sh <pyversion> <requirements.txt>

# Sets up custom apt sources for our TF images.

# Prevent apt install tzinfo from asking our location (assumes UTC)
export DEBIAN_FRONTEND=noninteractive

# Set up shared custom sources
apt-get update
apt-get install -y gnupg ca-certificates

# "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install
# the Python version set in "TFCI_PYTHON_VERSION" and use it as default.
# We enable this in the nightly and release builds because before uploading the
# wheels, we install them in a virtual environment and run some smoke tests on
# it. TFCI Mac VMs only have one Python version installed so we need to install
# the other versions manually.