* The returned list may contain a mix of Java class-path, Java module-path, and other types of path elements.
     *
     * @return the paths of all dependencies
     */
    @Nonnull
    List<Path> getPaths();

    /**
     * Returns the file paths of all dependencies, dispatched according the tool options where to place them.

# git history files
.history_rewritten_*
# Eclipse artifacts
.project
.pydevproject
#Vagrant
tools/vagrant/.vagrant/
# Intellij
*.iml
.idea/
.run/
# Visual Studio Code
.vscode/
# Bazel
/bazel-*
# vi swap files
.*.swp
# vi backups
*.bak
# common backups
*~
# python artifacts
*.pyc
# pilot
pilot/pkg/kube/config
pilot/pkg/proxy/envoy/envoy
# lint
lintconfig.gen.json
.istiorc
.istiorc.mk

## Deployment Strategies

There are several ways to do it depending on your specific use case and the tools that you use.

You could **deploy a server** yourself using a combination of tools, you could use a **cloud service** that does part of the work for you, or other possible options.

on:
  pull_request:
    types: [labeled, opened, synchronize, reopened]
    paths:
      - '.github/workflows/sigbuild-docker-presubmit.yml'
      - 'tensorflow/tools/tf_sig_build_dockerfiles/**'
      - '!tensorflow/tools/tf_sig_build_dockerfiles/README.md'

permissions:
  contents: read

jobs:
  docker:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks

			Manager: &User{
				Name: "Alexis Manager",
				Tools: []Tools{
					{Name: "Alexis Tool 1"},
					{Name: "Alexis Tool 2"},
				},
			},
		},
		{
			Name: "TestMergeNestedPreloadWithNestedJoin-2",
			Manager: &User{
				Name: "Jinzhu Manager",
				Tools: []Tools{
					{Name: "Jinzhu Tool 1"},
					{Name: "Jinzhu Tool 2"},
				},
			},
		},
	}

	DB.Create(&users)

          # replace just the digest portion in it
          sed -i"" "/\"$1\"/ s/sha256:[[:alnum:]]*/$digest/g" tensorflow/tools/toolchains/remote_config/configs.bzl
          echo "success."
        }
        # See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/toolchains/remote_config/configs.bzl
        # This is a mapping of name_container_map keys under sigbuild_tf_configs

  tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly
  # replace tensorflow to tf_nightly in the wheel name
  export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')"
fi

tfrun bazel build $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS

 * https, etc.) of the URL, not the protocol (http/1.1, spdy/3.1, etc.). OkHttp uses the word
 * *protocol* to identify how HTTP messages are framed.
 *
 * [ietf_alpn]: http://tools.ietf.org/html/draft-ietf-tls-applayerprotoneg
 */
enum class Protocol(private val protocol: String) {
  /**
   * An obsolete plaintext framing that does not use persistent sockets by default.
   */
  HTTP_1_0("http/1.0"),

# For building libtensorflow archives
test:libtensorflow_test -- //tensorflow/tools/lib_package:libtensorflow_test //tensorflow/tools/lib_package:libtensorflow_java_test

        run: |
          CI_DOCKER_BUILD_EXTRA_PARAMS="--pull --build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=1 --build-arg tf_project_name=tf_nightly_ci" \