chmod +x "/usr/local/bin/bazel"
fi

# "TFCI_MACOS_UPGRADE_PYENV_ENABLE" is used to decide if we need to upgrade the
# Pyenv version. We enable this for macOS x86 builds as the default Pyenv on
# those VMs does not support installing Python 3.12 and above which we need
# for running smoke tests in nightly/release wheel builds.
if [[ "${TFCI_MACOS_UPGRADE_PYENV_ENABLE}" == 1 ]]; then
  echo "Upgrading pyenv..."

```

```
jstream.KV{desc RGB}
jstream.KV{colors [red green blue]}
jstream.KV{desc CMYK}
jstream.KV{colors [cyan magenta yellow black]}
```

## Installing 

```bash
go get github.com/bcicen/jstream
```

## Commandline

`jstream` comes with a cli tool for quick viewing of parsed values from JSON input:

```bash
jstream -d 1 < input.json
```

import org.eclipse.aether.installation.InstallRequest;

import static java.util.Objects.requireNonNull;

/**
 * Inliner POM transformer. The goal of this transformer is to fix Maven 3 issue about emitting (installing, deploying)
 * unusable POMs when using CI Friendly Versions.
 *
 * @since TBD
 */
@Singleton
@Named
class PomInlinerTransformer extends TransformerSupport {
    private final Interpolator interpolator;

        try {
            metadata.storeInLocalRepository(localRepository, deploymentRepository);
        } catch (RepositoryMetadataStoreException e) {
            throw new RepositoryMetadataDeploymentException("Error installing metadata: " + e.getMessage(), e);
        }

        try {
            wagonManager.putArtifactMetadata(file, metadata, deploymentRepository);
        } catch (TransferFailedException e) {

///

/// info

This page will teach you how to use **virtual environments** and how they work.

If you are ready to adopt a **tool that manages everything** for you (including installing Python), try <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">uv</a>.

///

## Create a Project { #create-a-project }

First, create a directory for your project.

ARG INSTALL_NVIDIA_PACKAGES=false
ARG NVIDIA_PACKAGES_FILE=cuda12.1_cudnn9.1.packages.txt
COPY ${NVIDIA_PACKAGES_FILE} /nvidia.packages.txt

RUN if [ "${INSTALL_NVIDIA_PACKAGES}" = "true" ]; then \
      echo "Installing Nvidia packages"; \
      /setup.sources.cudnn.sh && /setup.packages.sh /nvidia.packages.txt; \
    else \
      echo "Nvidia packages are not installed"; \
    fi

# Setup links for TensorFlow to compile.

  - [Setup Ambari](https://docs.hortonworks.com/HDPDocuments/Ambari-2.7.1.0/bk_ambari-installation/content/set_up_the_ambari_server.html) which automatically sets up YARN
  - [Installing Spark](https://docs.hortonworks.com/HDPDocuments/HDP3/HDP-3.0.1/installing-spark/content/installing_spark.html)
- Install MinIO Distributed Server using one of the guides below.

## Source-Only Distribution

**Important:** The MinIO community edition is now distributed as source code only. We will no longer provide pre-compiled binary releases for the community version.

### Installing Latest MinIO Community Edition

To use MinIO community edition, you have two options:

1. **Install from source** using `go install github.com/minio/minio@latest` (recommended)

- Install MinIO Server from [here](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html#procedure).
- Familiarity with AWS S3 API.
- Familiarity with Python and installing dependencies.

### 2. Install boto3

Install `aws-sdk-python` from AWS SDK for Python official docs [here](https://aws.amazon.com/sdk-for-python/)

### 3. Example

## Get Started

### 1. Prerequisites

- Install MinIO - [MinIO Quickstart Guide](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html)
- Install `awscli` - [Installing AWS Command Line Interface](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html)

### 2. Set bucket WORM configuration