lm-tecniche-di-programmazione/src/test/kotlin/it/norangeb/algorithms/datastructures/dictionary/RedBlackBSTTest.kt

164 lines
5.0 KiB
Kotlin

/*
* MIT License
*
* Copyright (c) 2019 norangebit
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*/
package it.norangeb.algorithms.datastructures.dictionary
import arrow.core.None
import arrow.core.Some
import org.amshove.kluent.`should equal`
import org.spekframework.spek2.Spek
import org.spekframework.spek2.style.gherkin.Feature
object RedBlackBSTTest : Spek({
Feature("red black tree") {
Scenario("get and set") {
val tree by memoized { RedBlackBST<Int, Int>() }
When("add 1, 3, 4, 6, 8 into tree") {
tree[1] = 1
tree[3] = 3
tree[4] = 4
tree[6] = 6
tree[8] = 9
}
Then("tree of 1 should equal 1") {
tree[1] `should equal` Some(1)
}
Then("tree of 2 should equal None") {
tree[2] `should equal` None
}
Then("tree of 6 should equal 6") {
tree[6] `should equal` Some(6)
}
Then("tree of 8 should equal 9") {
tree[8] `should equal` Some(9)
}
When("edit 8") {
tree[8] = 8
}
Then("tree of 8 should equal 8") {
tree[8] `should equal` Some(8)
}
}
Scenario("ordered balance") {
val tree by memoized { RedBlackBST<Int, Int>() }
Given("a 1, 2, 3, 4, 5, 6, 7 tree") {
tree[1] = 1
tree[2] = 2
tree[3] = 3
tree[4] = 4
tree[5] = 5
tree[6] = 6
tree[7] = 7
}
val result = mutableListOf<Int>()
When("compute the preOrder traverse") {
tree.preOrder { result.add(it) }
}
Then("result should equal listOf(4, 2, 1, 3, 6, 5, 7") {
result `should equal` listOf(4, 2, 1, 3, 6, 5, 7)
}
}
Scenario("reverse balance") {
val tree by memoized { RedBlackBST<Int, Int>() }
Given("a 7, 6, 5, 4, 3, 2, 1 tree") {
tree[7] = 7
tree[6] = 6
tree[5] = 5
tree[4] = 4
tree[3] = 3
tree[2] = 2
tree[1] = 1
}
val result = mutableListOf<Int>()
When("compute the preOrder traverse") {
tree.preOrder { result.add(it) }
}
Then("result should equal listOf(4, 2, 1, 3, 6, 5, 7") {
result `should equal` listOf(4, 2, 1, 3, 6, 5, 7)
}
}
Scenario("mix balance") {
val tree by memoized { RedBlackBST<Int, Int>() }
Given("a 1, 2, 3, 4, 5, 6, 7 tree") {
tree[6] = 6
tree[2] = 2
tree[4] = 4
tree[1] = 1
tree[3] = 3
tree[7] = 7
tree[5] = 5
}
val result = mutableListOf<Int>()
When("compute the preOrder traverse") {
tree.preOrder { result.add(it) }
}
Then("result should equal listOf(4, 2, 1, 3, 6, 5, 7") {
result `should equal` listOf(4, 2, 1, 3, 6, 5, 7)
}
When("add 8, 9, 10, 12, 13, 14, 15") {
tree[8] = 8
tree[9] = 9
tree[10] = 10
tree[11] = 11
tree[12] = 12
tree[13] = 13
tree[14] = 14
tree[15] = 15
}
When("compute the preOrder traverse") {
result.clear()
tree.preOrder { result.add(it) }
}
Then("result should equal listOf(8, 4, 2, 1, 3, 6, 5, 7, 12, 10, 9, 11, 14, 13, 15)") {
result `should equal` listOf(8, 4, 2, 1, 3, 6, 5, 7, 12, 10, 9, 11, 14, 13, 15)
}
}
}
})