}
        }
      }
      table = newTable;
      this.count = newCount;
    }

    boolean replace(K key, int hash, V oldValue, V newValue) {
      lock();
      try {
        preWriteCleanup();

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

          }
        }
      }
      table = newTable;
      this.count = newCount;
    }

    boolean replace(K key, int hash, V oldValue, V newValue) {
      lock();
      try {
        preWriteCleanup();

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

			if err := DB.Migrator().DropTable(table); err != nil {
				t.Fatalf("failed to drop table, got error: %v", err)
			}
			if err := DB.Table(table).AutoMigrate(test.from); err != nil {
				t.Fatalf("failed to migrate table, got error: %v", err)
			}
			if err := DB.Table(table).AutoMigrate(test.to); err != nil {
				t.Fatalf("failed to migrate table, got error: %v", err)
			}
			test.checkFunc(t)
		})

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

  CharMatcher precomputedInternal() {
    BitSet table = new BitSet();
    setBits(table);
    int totalCharacters = table.cardinality();
    if (totalCharacters * 2 <= DISTINCT_CHARS) {
      return precomputedPositive(totalCharacters, table, toString());
    } else {
      // TODO(lowasser): is it worth it to worry about the last character of large matchers?
      table.flip(Character.MIN_VALUE, Character.MAX_VALUE + 1);

	AssertEqual(t, q2, qs[1])
}

func TestQueryError(t *testing.T) {
	type P struct{}
	var p1 P
	err := DB.Take(&p1, 1).Error
	AssertEqual(t, err, gorm.ErrModelAccessibleFieldsRequired)

	var p2 interface{}

	err = DB.Table("ps").Clauses(clause.Eq{Column: clause.Column{
		Table: clause.CurrentTable, Name: clause.PrimaryKey,
	}, Value: 1}).Scan(&p2).Error
	AssertEqual(t, err, gorm.ErrModelValueRequired)

```
KEY:
notify_postgres[:name]  publish bucket notifications to Postgres databases

ARGS:
connection_string*   (string)             Postgres server connection-string e.g. "host=localhost port=5432 dbname=minio_events user=postgres password=password sslmode=disable"
table*               (string)             DB table name to store/update events, table is auto-created

  CharMatcher precomputedInternal() {
    BitSet table = new BitSet();
    setBits(table);
    int totalCharacters = table.cardinality();
    if (totalCharacters * 2 <= DISTINCT_CHARS) {
      return precomputedPositive(totalCharacters, table, toString());
    } else {
      // TODO(lowasser): is it worth it to worry about the last character of large matchers?
      table.flip(Character.MIN_VALUE, Character.MAX_VALUE + 1);

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

    // In JDK8, table is set lazily, so it may be null.
    return table == null ? 0 : table.length;
  }

  public void testCapacityForLargeSizes() {
    int[] largeExpectedSizes =
        new int[] {
          Integer.MAX_VALUE / 2 - 1,
          Integer.MAX_VALUE / 2,
          Integer.MAX_VALUE / 2 + 1,
          Integer.MAX_VALUE - 1,
          Integer.MAX_VALUE
        };