# All required CUDA packages
cuda-compat-13-0
cuda-command-line-tools-13-0
cuda-cudart-dev-13-0
cuda-nvcc-13-0
cuda-cupti-13-0
cuda-nvprune-13-0
cuda-libraries-13-0
cuda-libraries-dev-13-0
cuda-nvml-dev-13-0
libcufft-13-0
libcurand-13-0
libcusolver-dev-13-0
libcusparse-dev-13-0
libcublas-13-0
libcublas-dev-13-0
libnccl-dev=2.27.7-1+cuda13.0
libnccl2=2.27.7-1+cuda13.0

            // - Testing basic RDMA operations
            // - Checking for required native libraries

            return true;
        } catch (ClassNotFoundException e) {
            log.debug("DiSNI not available: {}", e.getMessage());
            return false;
        } catch (UnsatisfiedLinkError e) {
            log.debug("DiSNI native libraries not available: {}", e.getMessage());
            return false;
        }
    }

# packages only provide the "0.10-2build1" version. We use patchelf to manipulate
# certain shared libraries during the wheel building process (https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/build_pip_package.sh#L255-L262).
# When we use Patchelf versions <0.12, those shared libraries end up with a

  - [Kotlin Libraries](https://docs.gradle.org/current/samples/sample_building_kotlin_libraries.html)
  - [Scala Applications](https://docs.gradle.org/current/samples/sample_building_scala_applications.html)
  - [Spring Boot Web Apps](https://docs.gradle.org/current/samples/sample_building_spring_boot_web_applications.html)
  - [C++ Libraries](https://docs.gradle.org/current/samples/sample_building_cpp_libraries.html)

    val generateSampleTask = project.tasks.register<GenerateSample>("generateSample${sampleName.capitalize()}") {
        readmeTemplates.convention(layout.projectDirectory.dir("src/samples/readme-templates"))
        target.convention(layout.buildDirectory.dir("generated-samples/$buildInitType" + if (modularizationOption.isMulti()) "-with-libraries" else ""))
        type = buildInitType

	Dynlink    = flag.Bool("dynlink", false, "support references to Go symbols defined in other shared libraries")
	Linkshared = flag.Bool("linkshared", false, "generate code that will be linked against Go shared libraries")
	AllErrors  = flag.Bool("e", false, "no limit on number of errors reported")

[![GitHub Release](https://img.shields.io/github/v/release/google/guava)](https://github.com/google/guava/releases/latest)
[![CI](https://github.com/google/guava/actions/workflows/ci.yml/badge.svg)](https://github.com/google/guava/actions/workflows/ci.yml)
[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/7197/badge)](https://www.bestpractices.dev/projects/7197)

    return this;
  }

  /**
   * Advances the ticker value by {@code duration}.
   *
   * @since 33.1.0 (but since 28.0 in the JRE <a
   *     href="https://github.com/google/guava#guava-google-core-libraries-for-java">flavor</a>)
   */
  @GwtIncompatible
  @J2ktIncompatible
  @CanIgnoreReturnValue
  @IgnoreJRERequirement // TODO: b/288085449 - Remove this once we use library-desugaring scents.

    "Programming Language :: Python :: 3",
    "Programming Language :: Python",
    "Topic :: Internet",
    "Topic :: Software Development :: Libraries :: Application Frameworks",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "Topic :: Software Development :: Libraries",
    "Topic :: Software Development",
    "Typing :: Typed",
    "Development Status :: 4 - Beta",
    "Environment :: Web Environment",

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }