2. It attempts to retrieve a connection with that address from the **connection pool**.
 3. If it doesn't find a connection in the pool, it selects a **route** to attempt. This usually means making a DNS request to get the server's IP addresses. It then selects a TLS version and proxy server if necessary.

    /*
     * We don't need to test further under NO_UNSAFE: We verified that it selects
     * AtomicReferenceFieldUpdaterAtomicHelper, which is the default, which means that it's used
     * when we run AbstractFutureTest itself.
     */

    /*
     * We don't test UnsafeAtomicHelper here, since guava-android doesn't provide a way to use it

        "@local_config_cuda//cuda:FALSE",
    ),
)

selects.config_setting_group(
    name = "is_cuda_nvcc",
    match_all = [
        ":is_cuda_enabled",
        ":is_cuda_compiler_nvcc",
    ],
)

# Config setting that is satisfied when building with --config=cuda in OSS.
selects.config_setting_group(
    name = "is_cuda_enabled_and_oss",
    match_all = [

# Description:
# C API for TensorFlow, for use by client language bindings.

load("@bazel_skylib//lib:selects.bzl", "selects")
load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt")
load("@xla//xla/tsl/platform:build_config_root.bzl", "if_pywrap")
load("@xla//xla/tsl/platform:rules_cc.bzl", "cc_library")
load(
    "//tensorflow:tensorflow.bzl",
    "check_deps",
    "if_google",
    "if_not_mobile",
    "tf_cc_test",
    "tf_copts",

			if joinType == "" {
				joinType = clause.LeftJoin
			}

			if db, ok := jt.Subquery.(interface{ getInstance() *DB }); ok {
				stmt := db.getInstance().Statement
				if len(j.Selects) == 0 {
					j.Selects = stmt.Selects
				}
				if len(j.Omits) == 0 {
					j.Omits = stmt.Omits
				}
			}

     * Path to the service account credentials JSON file.
     */
    @Size(max = 1000)
    public String storageCredentialsPath;

    /**
     * RAG LLM provider name.
     * Selects which LLM client to use for RAG operations.
     */
    @Size(max = 100)
    public String ragLlmName;

    /**
     * LLM log level.
     * Controls the logging level for LLM-related packages.
     */

  // how javac selects overloads
  @SuppressWarnings("null")
  public void overloadSelection() {
    Boolean boxedBoolean = null;
    boolean aBoolean = true;
    Long boxedLong = null;
    int anInt = 1;
    // With a boxed predicate, no overloads can be selected in phase 1
    // ambiguous without the call to .booleanValue to unbox the Boolean

  // how javac selects overloads
  @SuppressWarnings("null")
  public void overloadSelection() {
    Boolean boxedBoolean = null;
    boolean aBoolean = true;
    Long boxedLong = null;
    int anInt = 1;
    // With a boxed predicate, no overloads can be selected in phase 1
    // ambiguous without the call to .booleanValue to unbox the Boolean

      // remainder, we can just select the value whose index in the sorted dataset equals the
      // quotient; if there is a remainder, we interpolate between that and the next value.

      int[] quotients = new int[indexes.length];
      int[] remainders = new int[indexes.length];
      // The indexes to select. In the worst case, we'll need one each side of each quantile.

# specified".
common:cross_compile_macos_x86 --extra_toolchains=//tensorflow/tools/toolchains/cross_compile/config:macos-x86-cross-compile-cc-toolchain
# Map --platforms=darwin_x86_64 to --cpu=darwin and vice-versa to make selects()
# and transistions that use these flags work.
common:cross_compile_macos_x86 --platform_mappings=tensorflow/tools/toolchains/cross_compile/config/platform_mappings

# RBE cross-compile configs for Darwin x86