) {
    }
  }

  companion object {
    /** Arbitrary code point that's 2 bytes in UTF-8 and valid in IdnaMappingTable.txt. */
    private const val UNICODE_2 = 0x1a5

    /** Arbitrary code point that's 3 bytes in UTF-8 and valid in IdnaMappingTable.txt. */
    private const val UNICODE_3 = 0x2202

    /** Arbitrary code point that's 4 bytes in UTF-8 and valid in IdnaMappingTable.txt. */

     *
     * 1) To invoke FinalizableReference.finalizeReferent()
     *
     * 2) To detect when FinalizableReference's class loader has to be garbage collected, at which
     * point, Finalizer can stop running
     */
    if (!finalizableReferenceClass.getName().equals(FINALIZABLE_REFERENCE)) {
      throw new IllegalArgumentException("Expected " + FINALIZABLE_REFERENCE + ".");
    }

      return LinearTransformation.vertical(xStats.mean());
    }
  }

  /**
   * {@inheritDoc}
   *
   * <p><b>Note:</b> This tests exact equality of the calculated statistics, including the floating
   * point values. Two instances are guaranteed to be considered equal if one is copied from the
   * other using {@code second = new PairedStatsAccumulator().addAll(first).snapshot()}, if both

 */

package com.google.common.base;

import com.google.common.annotations.GwtCompatible;

/**
 * A time source; returns a time value representing the number of nanoseconds elapsed since some
 * fixed but arbitrary point in time. Note that most users should use {@link Stopwatch} instead of
 * interacting with this class directly.
 *
 * <p><b>Warning:</b> this interface can only be used to measure elapsed time, not wall time.
 *

 * Implementations of this interface define specific build-process behaviors
 * that are triggered during a Maven build lifecycle.
 *
 * The primary entry point is the {@link #execute()} method, which encapsulates
 * the behavior of the Mojo and serves as the integration point with Maven. This
 * method may throw an {@link Exception} to signal any issues that prevent
 * successful execution of the Mojo.
 *
 * <p>
 * Annotations:

filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------
   
   **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries**
   
   

	addr = u.Host
	scheme = u.Scheme

	// Use the given parameter again if url.Parse()
	// didn't return any useful result.
	if addr == "" {
		addr = hostAddr
		scheme = "http"
	}

	// At this point, addr can be one of the following form:
	//	":9000"
	//	"localhost:9000"
	//	"localhost" <- in this case, we check for scheme

	host, port, err := net.SplitHostPort(addr)
	if err != nil {

* Hooks (Before/After Create/Save/Update/Delete/Find)
* Eager loading with `Preload`, `Joins`
* Transactions, Nested Transactions, Save Point, RollbackTo to Saved Point
* Context, Prepared Statement Mode, DryRun Mode
* Batch Insert, FindInBatches, Find To Map
* SQL Builder, Upsert, Locking, Optimizer/Index/Comment Hints, NamedArg, Search/Update/Create with SQL Expr

    // appendCodePoint(). The Punycode algorithm processes code points in increasing code-point
    // order, not in increasing index order.
    val codePoints = mutableListOf<Int>()

    // consume all code points before the last delimiter (if there is one)
    //  and copy them to output, fail on any non-basic code point
    val lastDelimiter = string.lastIndexOf('-', limit)
    if (lastDelimiter >= pos) {

  )
}

/**
 * If [mapping] qualifies to be encoded as [MappedRange.InlineDelta] return new instance, otherwise null.
 * An [MappedRange.InlineDelta] must be a mapping from a single code-point to a single code-point with a difference
 * that can be represented in 2^18-1.
 */
internal fun inlineDeltaOrNull(mapping: Mapping): MappedRange.InlineDelta? {
  if (mapping.hasSingleSourceCodePoint) {