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

# Disable the cache dir to save image space, and install packages

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

# 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.

#
# setup.packages.sh: Given a list of Ubuntu packages, install them and clean up.
# Usage: setup.packages.sh <package_list.txt>
set -e

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

apt-get update
# Remove commented lines and blank lines
apt-get install -y --no-install-recommends $(sed -e '/^\s*#.*$/d' -e '/^\s*$/d' "$1" | sort -u)

---

## Install FastAPI

The first step is to install FastAPI.

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

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

/// note

	<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" />

            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - name: Install Pydantic v1
        if: matrix.pydantic-version == 'pydantic-v1'
        run: uv pip install "pydantic>=1.10.0,<2.0.0"
      - name: Install Pydantic v2
        if: matrix.pydantic-version == 'pydantic-v2'
        run: uv pip install --upgrade "pydantic>=2.0.2,<3.0.0"
      - run: mkdir coverage

	timeout := newDynamicTimeout(time.Minute, time.Second)

	initial := timeout.Timeout()

	for i := 0; i < dynamicTimeoutLogSize; i++ {
		timeout.LogFailure()
	}

	adjusted := timeout.Timeout()

	if initial >= adjusted {
		t.Errorf("Failure to increase timeout, expected %v to be more than %v", adjusted, initial)
	}
}

func TestDynamicTimeoutDualIncrease(t *testing.T) {

  ls -sh *.whl
  exit 2
fi

# Quick install checks
venv=$(mktemp -d)
"python${TFCI_PYTHON_VERSION}" -m venv "$venv"
python="$venv/bin/python3"
# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  "$python" -m pip install numpy==1.26.0
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS

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).