name = "is_cuda_enabled_and_windows",
    match_all = [
        ":is_cuda_enabled",
        ":windows",
    ],
)

# Config setting to use in select()s to distinguish open source build from
# google internal build on configurable attributes.
#
# For non-configurable distinction between OSS and Google builds, see
# `if_oss()` and `if_google()` macros in tensorflow.bzl.
config_setting(
    name = "oss",

Ilya Tikhonovskiy <******@****.***> 1771913400 -0800

A. Unique TensorFlower <******@****.***> 1771352137 -0800

      - uses: actions/cache@v5
        with:
          key: mkdocs-cards-${{ matrix.lang }}-${{ github.ref }}
          path: docs/${{ matrix.lang }}/.cache
      - name: Build Docs
        run: uv run ./scripts/docs.py build-lang ${{ matrix.lang }}
      - uses: actions/upload-artifact@v7
        with:
          name: docs-site-${{ matrix.lang }}
          path: ./site/**
          include-hidden-files: true

name: Reusable Build
on:
  workflow_call:
    inputs:
      runner:
        description: 'Which runner should the workflow run on?'
        required: true
        type: string
      tfci:
        description: 'TFCI environment variable'
        required: true
        type: string

permissions:
  contents: read

jobs:
  build-and-test:
    runs-on: ${{ inputs.runner }}

# Build execution model

At the highest level, Gradle's execution model is quite simple:

Below is the protocol in some more detail:

1. The client looks for a compatible idle daemon. If there isn't one, it starts a new daemon.
2. The client connects to the idle daemon and sends it a request to do some work. If the daemon is no longer running, the client starts again.

        with:
          report_paths: '**/build/test-results/*/TEST-*.xml'
          check_name: OpenJDK 11 Test Report

      - name: Publish Test Results
        uses: EnricoMi/publish-unit-test-result-action@v2
        if: github.repository == 'square/okhttp' && github.ref == 'refs/heads/master' && matrix.java-version == '11'
        with:
          files: |
            **/build/test-results/*/TEST-*.xml

  openjdk8alpn:

compile_pip_requirements(
    name = "requirements",
    srcs = [
        "nvidia-requirements.txt",
        "requirements.in",
        ":nvidia_constraints",
    ],
    extra_args = [
        "--allow-unsafe",
        "--build-isolation",
        "--rebuild",
        "-c $(location :nvidia_constraints)",
    ],
    generate_hashes = True,
    requirements_txt = REQUIREMENTS,

jobs:
  #build-and-test-linux-x86-cpu:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-x86-n2-16'
  #    tfci: 'py313,linux_x86,rbe'

  #build-and-test-linux-x86-cuda:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-x86-n4-32'
  #    tfci: 'py313,linux_x86_cuda'

  #build-and-test-arm64:

      classifier(
        when {
          OperatingSystem.current().isMacOsX -> "osx-aarch_64"
          OperatingSystem.current().isLinux -> "linux-x86_64"
          else -> "linux-x86_64" // Code that references Corretto will build but not run.
        },
      )
    },
  )

  api(libs.hamcrest.library)
  api(libs.junit.jupiter.api)
  api(libs.junit.jupiter.params)

  api(libs.junit.pioneer)