# 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).

    EventListener.Factory { call -> ClientRuleEventListener(eventListenerFactory.create(call), ::addEvent) }

  /**
   * Returns an OkHttpClient for tests to use as a starting point.
   *
   * The returned client installs a default event listener that gathers debug information. This will
   * be logged if the test fails.
   *
   * This client is also configured to be slightly more deterministic, returning a single IP

```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

                (layout != null) ? layout.getClass().getSimpleName() : "legacy");

        /*
         * NOTE: "invoker:install" vs "appassembler:assemble": Both mojos use the artifact installer to put an artifact
         * into a repository. In the first case, the result needs to be a proper local repository that one can use for

## Prerequisites

Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## Run Standalone MinIO on Docker

/// 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
```

///