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/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.hadoop.hive.ql.exec.vector.expressions;

import java.util.Arrays;
import java.util.Random;

/**
 * A high-performance set implementation used to support fast set membership testing,
 * using Cuckoo hashing. This is used to support fast tests of the form
 *
 *       column IN ( >> 32) ^ y)) & 0xFFFFFFFF);
    x = (x + salt[0]) + (x << 12);
    x = (x ^ salt[1]) ^ (x >> 19);
    x = (x + salt[2]) + (x << 5);
    x = (x + salt[3]) ^ (x << 9);
    x = (x + salt[4]) + (x << 3);
    x = (x ^ salt[5]) ^ (x >> 16);

    // Return value modulo n but always in the positive range (0..n-1).
    // And with the mask to zero the sign bit to make the input to mod positive
    // so the output will definitely be positive.
    return (x & 0x7FFFFFFF) % n;
  }

  /**
   * basic modular hash function
   */
  private int h2(long x) {

    // Return value modulo n but always in the positive range (0..n-1).
    // Since n is prime, this gives good spread for numbers that are multiples
    // of one billion, which is important since timestamps internally
    // are stored as a number of nanoseconds, and the fractional seconds
    // part is often 0.
    return (((int) (x % n)) + n) % n;
  }

  /**
   * In case of rehash, hash function h2 is changed by updating the
   * entries in the salt array with new random values.
   */
  private void updateHashSalt() {
    for (int i = 0; i != 6; i++) {
      salt[i] = gen.nextInt(0x7FFFFFFF);
    }
  }

  private void rehash() {
    rehashCount++;
    if (rehashCount > 20) {
      throw new RuntimeException("Too many rehashes");
    }
    updateHashSalt();

    // Save original values
    if (prev1 == null) {
      prev1 = t1;
      prev2 = t2;
    }
    t1 = new long[n];
    t2 = new long[n];
    Arrays.fill(t1, blank);
    Arrays.fill(t2, blank);
    for (Long v  : prev1) {
      if (v != blank) {
        long x = tryInsert(v);
        if (x != blank) {
          rehash();
          return;
        }
      }
    }
    for (Long v  : prev2) {
      if (v != blank) {
        long x = tryInsert(v);
        if (x != blank) {
          rehash();
          return;
        }
      }
    }

    // We succeeded in adding all the values, so
    // clear the previous values recorded.
    prev1 = null;
    prev2 = null;
  }
}




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