Codility Lesson 05
Lesson 5
5.1 - Passing Cars
A non-empty array A
consisting of N
integers is given. The consecutive elements of array A represent consecutive cars on a road.
Array A contains only 0
s and/or 1
s:
0
represents a car traveling east,1
represents a car traveling west.
The goal is to count passing cars. We say that a pair of cars (P, Q)
, where 0 ≤ P < Q < N
, is passing when P
is traveling to the east and Q
is traveling to the west.
For example, consider array A
such that:
A[0] = 0 A[1] = 1 A[2] = 0 A[3] = 1 A[4] = 1
We have five pairs of passing cars: (0, 1)
, (0, 3)
, (0, 4)
, (2, 3)
, (2, 4)
.
Write a function:
class Solution
{
public int solution(int[] A);
}
that, given a non-empty array A
of N
integers, returns the number of pairs of passing cars.
The function should return −1
if the number of pairs of passing cars exceeds 1,000,000,000
.
For example, given:
A[0] = 0 A[1] = 1 A[2] = 0 A[3] = 1 A[4] = 1
the function should return 5, as explained above.
Write an efficient algorithm for the following assumptions:
- N is an integer within the range
[1..100,000]
; - each element of array
A
is an integer that can have one of the following values:0
,1
.
5.2 - Count Div
Write a function:
class Solution
{
public int solution(int A, int B, int K);
}
that, given three integers A
, B
and K
, returns the number of integers within the range [A..B]
that are divisible by K
, i.e.:
{ i : A ≤ i ≤ B, i mod K = 0 }
For example, for A = 6
, B = 11
and K = 2
, your function should return 3
, because there are three numbers divisible by 2
within the range [6..11]
, namely 6
, 8
and 10
.
Write an efficient algorithm for the following assumptions:
A
andB
are integers within the range[0..2,000,000,000]
;K
is an integer within the range[1..2,000,000,000]
;A
≤B
.
5.3 - Genomic Range Query
A DNA sequence can be represented as a string consisting of the letters A
, C
, G and T
, which correspond to the types of successive nucleotides in the sequence. Each nucleotide has an impact factor, which is an integer. Nucleotides of types A
, C
, G
and T
have impact factors of 1
, 2
, 3
and 4
, respectively. You are going to answer several queries of the form: What is the minimal impact factor of nucleotides contained in a particular part of the given DNA sequence?
The DNA sequence is given as a non-empty string S = S[0]S[1]...S[N-1]
consisting of N
characters. There are M
queries, which are given in non-empty arrays P
and Q
, each consisting of M
integers. The K
-th query (0 ≤ K < M)
requires you to find the minimal impact factor of nucleotides contained in the DNA sequence between positions P[K]
and Q[K]
(inclusive).
For example, consider string S = "CAGCCTA"
and arrays P
, Q
such that:
P[0] = 2 Q[0] = 4 P[1] = 5 Q[1] = 5 P[2] = 0 Q[2] = 6
The answers to these M = 3 queries are as follows:
- The part of the DNA between positions
2
and4
contains nucleotidesG
andC
(twice), whose impact factors are3
and2
respectively, so the answer is2
. - The part between positions
5
and5
contains a single nucleotideT
, whose impact factor is4
, so the answer is4
. - The part between positions
0
and6
(the whole string) contains all nucleotides, in particular nucleotideA
whose impact factor is1
, so the answer is1
.
Write a function:
class Solution
{
public int[] solution(string S, int[] P, int[] Q);
}
that, given a non-empty string S
consisting of N
characters and two non-empty arrays P
and Q
consisting of M
integers, returns an array consisting of M
integers specifying the consecutive answers to all queries.
Result array should be returned as an array of integers.
For example, given the string S = "CAGCCTA"
and arrays P
, Q
such that:
P[0] = 2 Q[0] = 4 P[1] = 5 Q[1] = 5 P[2] = 0 Q[2] = 6
the function should return the values [2, 4, 1]
, as explained above.
Write an efficient algorithm for the following assumptions:
N
is an integer within the range[1..100,000]
;M
is an integer within the range[1..50,000]
;- each element of arrays
P
andQ
is an integer within the range[0..N - 1]
; P[K]
≤Q[K]
, where0 ≤ K < M
;- string
S
consists only of upper-case English lettersA
,C
,G
,T
.
5.4 - Min Avg Two Slice
A non-empty array A
consisting of N
integers is given. A pair of integers (P, Q)
, such that 0 ≤ P < Q < N
, is called a slice of array A
(notice that the slice contains at least two elements). The average of a slice (P, Q)
is the sum of A[P] + A[P + 1] + ... + A[Q]
divided by the length of the slice. To be precise, the average equals (A[P] + A[P + 1] + ... + A[Q]) / (Q − P + 1).
For example, array A such that:
A[0] = 4
A[1] = 2
A[2] = 2
A[3] = 5
A[4] = 1
A[5] = 5
A[6] = 8
contains the following example slices:
- slice
(1, 2)
, whose average is(2 + 2) / 2 = 2
; - slice
(3, 4)
, whose average is(5 + 1) / 2 = 3
; - slice
(1, 4)
, whose average is(2 + 2 + 5 + 1) / 4 = 2.5
.
The goal is to find the starting position of a slice whose average is minimal.
Write a function:
class Solution
{
public int solution(int[] A);
}
that, given a non-empty array A
consisting of N
integers, returns the starting position of the slice with the minimal average. If there is more than one slice with a minimal average, you should return the smallest starting position of such a slice.
For example, given array A
such that:
A[0] = 4
A[1] = 2
A[2] = 2
A[3] = 5
A[4] = 1
A[5] = 5
A[6] = 8
the function should return 1
, as explained above.
Write an efficient algorithm for the following assumptions:
N
is an integer within the range[2..100,000]
;- each element of array
A
is an integer within the range[−10,000..10,000]
.
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