* xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This

import okhttp3.Handshake
import okhttp3.HttpUrl
import okhttp3.Protocol
import okhttp3.Route

/**
 * A user that is a connection pool creating connections in the background
 * without an intent to immediately use them.
 */
object PoolConnectionUser : ConnectionUser {
  override fun addPlanToCancel(connectPlan: ConnectPlan) {
  }

  override fun removePlanToCancel(connectPlan: ConnectPlan) {
  }

    throw new UnsupportedOperationException();
  }

  private static final Joiner JOINER = Joiner.on(", ");

  @Override
  protected final void assertMoreInvariants(Map<K, V> map) {
    // TODO: can these be moved to MapInterfaceTest?
    for (Entry<K, V> entry : map.entrySet()) {
      assertEquals(entry.getKey() + "=" + entry.getValue(), entry.toString());
    }

## Regression
<!-- Is this issue a regression? (Yes / No) -->
<!-- If Yes, optionally please include minio version or commit id or PR# that caused this regression, if you have these details. -->

## Your Environment
<!--- Include as many relevant details about the environment you experienced the bug in -->
* Version used (`minio --version`):
* Server setup and configuration:

	if err == nil {
		t.Fatalf("should returns error but got nil")
	}
}

func TestReturningWithNullToZeroValues(t *testing.T) {
	dialect := DB.Dialector.Name()
	switch dialect {
	case "mysql", "sqlserver":
		// these dialects do not support the "returning" clause
		return
	default:
		// This user struct will leverage the existing users table, but override
		// the Name field to default to null.
		type user struct {
			gorm.Model

   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   

// data very near to a page boundary. We want to make sure those
// operations do not read across the boundary and cause a page
// fault where they shouldn't.

// These tests run only on linux. The code being tested is
// not OS-specific, so it does not need to be tested on all
// operating systems.

// dangerousSlice returns a slice which is immediately

        }
      };

  public void testAnyAndNone_logicalOps() throws Exception {
    // These are testing behavior that's never promised by the API, but since
    // we're lucky enough that these do pass, it saves us from having to write
    // more excruciating tests! Hooray!

    assertSame(CharMatcher.any(), CharMatcher.none().negate());

import org.apache.maven.api.annotations.Nonnull;

/**
 * <p>In Maven, repositories are locations where project artifacts (such as JAR files, POM files, and other
 * resources) are stored and retrieved. There are two primary types of repositories:
 * {@linkplain LocalRepository local repositories} and
 * {@linkplain RemoteRepository remote repositories}.</p>
 *
 * <h2>Repository Resolution Process</h2>
 *

 * It extends CrawlerSystemException and provides functionality to set and check the log level for the exception.
 *
 * <p>
 * This exception can be thrown when there are problems accessing URLs, files, or any other resources needed for crawling.
 * It includes constructors to handle messages, causes, or both.
 * </p>
 *
 * <p>