sh "mvn clean deploy -DdeployAtEnd=true -B"
              }
            }
          }
        }
      }
    }
  }
}

boolean isDeployedBranch() {
  return env.BRANCH_NAME == 'master' || env.BRANCH_NAME == 'maven-4.0.x' || env.BRANCH_NAME == 'maven-3.9.x'
}

/**
 * To other developers, if you are using this method above, please use the following syntax.

<div class="termy">

```console
// You could create an env var MY_NAME with
$ export MY_NAME="Wade Wilson"

// Then you could use it with other programs, like
$ echo "Hello $MY_NAME"

Hello Wade Wilson
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
// Create an env var MY_NAME
$ $Env:MY_NAME = "Wade Wilson"

ENV BAZEL_LLVM "C:\tools\LLVM"

# These variables may be useful, but so far haven't been. Keeping for posterity.
# ENV CLANG_COMPILER_PATH "C:\tools\llvm\bin\clang.exe"
# ENV CC "C:\tools\llvm\bin\clang.exe"
# ENV BAZEL_COMPILER "C:\tools\llvm\bin\clang.exe"

ENV BAZEL_SH "C:\tools\msys64\usr\bin\bash.exe"
ENV BAZEL_VS "C:\Program Files\Microsoft Visual Studio\2022\BuildTools"

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"net/http"
	"strings"

	"github.com/minio/mux"
	"github.com/minio/pkg/v3/env"
)

const (
	prometheusMetricsPathLegacy     = "/prometheus/metrics"
	prometheusMetricsV2ClusterPath  = "/v2/metrics/cluster"
	prometheusMetricsV2BucketPath   = "/v2/metrics/bucket"

          accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
          command: pages deploy ./site --project-name=${{ env.PROJECT_NAME }} --branch=${{ env.BRANCH }}
      - name: Comment Deploy
        run: python ./scripts/deploy_docs_status.py
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          DEPLOY_URL: ${{ steps.deploy.outputs.deployment-url }}

        "//tensorflow/core/util/tensor_bundle",
        "//tensorflow/core/util/tensor_bundle:naming",
    ],
)

tf_cuda_library(
    name = "env",
    srcs = [
        "env.cc",
    ],
    hdrs = [
        "env.h",
    ],
    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = select({
        "//tensorflow:android": [

        if (StringUtil.isNotBlank(systemLastaEnv)) {
            if ("web".equals(systemLastaEnv)) {
                cmdList.add("-Dlasta.env=" + getExecuteType());
            } else {
                cmdList.add("-Dlasta.env=" + systemLastaEnv);
            }
        } else if (StringUtil.isNotBlank(lastaEnv)) {
            cmdList.add("-Dlasta.env=" + lastaEnv);
        } else {

        if (StringUtil.isNotBlank(systemLastaEnv)) {
            if ("web".equals(systemLastaEnv)) {
                cmdList.add("-Dlasta.env=" + getExecuteType());
            } else {
                cmdList.add("-Dlasta.env=" + systemLastaEnv);
            }
        } else if (StringUtil.isNotBlank(lastaEnv)) {
            cmdList.add("-Dlasta.env=" + lastaEnv);
        } else {

     | or the command line, profiles have to have an ID that is unique.
     |
     | An encouraged best practice for profile identification is to use a consistent naming convention
     | for profiles, such as 'env-dev', 'env-test', 'env-production', 'user-jdcasey', 'user-brett', etc.
     | This will make it more intuitive to understand what the set of introduced profiles is attempting

        required: false
        default: "false"

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  job:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"