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/*
 * Copyright 2017-2022 John Snow Labs
 *
 * Licensed 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 com.johnsnowlabs.ml.crf

class SparseArray(val values: Array[(Int, Float)]) {
  var prev = -1
  for ((idx, _) <- values) {
    require(idx > prev, s"index must be sorted $prev must be lower $idx")
    prev = idx
  }

  def apply(idx: Int): Float = binSearch(idx)

  private def binSearch(idx: Int, l: Int = 0, r: Int = values.length - 1): Float = {
    val mid = (l + r) / 2

    if (l > r)
      0f
    else if (idx == values(mid)._1)
      values(mid)._2
    else if (idx < values(mid)._1)
      binSearch(idx, l, mid - 1)
    else
      binSearch(idx, mid + 1, r)
  }

}

object SparseArray {
  implicit class SeqWrapper(values: Seq[(Int, Float)]) {
    def toSparse(): SparseArray = {
      new SparseArray(values.sortBy(_._1).toArray)
    }
  }
}




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