2162. Minimum Cost to Set Cooking Time
Problem Description
In this problem, we are tasked with calculating the minimum fatigue cost required to set a microwave to cook for a target duration in seconds. The microwave interface takes up to four digits input, interpreted as minutes and seconds, with the first two digits representing minutes (00 to 99) and the last two representing seconds (00 to 99). To set the microwave, we prepend zeroes to make sure we always have a four-digit number if fewer digits are entered.
The microwave setting process involves moving a finger from the starting digit (given by startAt
) to other digits and pushing them to set the time. Each move incurs a moveCost
and each push incurs a pushCost
. There might be multiple ways to set the desired cooking time, but we are interested in finding the way that results in the least total fatigue cost.
Finally, the target cooking time is defined in seconds (targetSeconds
). Since the microwave interprets inputs as minutes and seconds, we must convert the target time accordingly. One minute is equivalent to 60 seconds, so the target time could sometimes be set more efficiently by adjusting the balance between minutes and seconds.
Intuition
The intuition behind the solution is to break down the problem into simpler, logical steps and use a helper function to calculate the cost of setting the microwave to a given time.
-
Convert the
targetSeconds
to minutes and seconds. Since the maximum number of seconds the microwave can display is 99, we first divide thetargetSeconds
by 60 to find the number of whole minutes, and then we use modulo to find the remaining seconds. -
We create a helper function,
f(m, s)
, that calculates the cost of setting the microwave tom
minutes ands
seconds. It accounts for the cost of moving to and pushing the required digits. If the minutes or seconds exceed their respective bounds (e.g., more than 99), the function returns an infinite cost, indicating an invalid input. -
The function first converts the minutes and seconds into an array of four digits, including leading zeros. It then ignores any leading zeros because they do not require any push.
-
It iterates through the array of digits, calculating the cost to move to and push each digit. If the current digit is the same as the previous one, we only consider the push cost; otherwise, we include both the move and push costs.
-
To find the minimum cost, we compare the cost of setting the exact minutes and seconds derived from
targetSeconds
and also consider the scenario where we decrement one minute and add 60 seconds (because sometimes it's cheaper to enter fewer minutes and more seconds, especially if it allows us to reduce the number of moves or pushes). -
Finally, we return the minimum cost obtained from the two possibilities calculated using our helper function.
Using these steps, the solution efficiently examines the possible ways to enter the desired cooking time and selects the one with the lowest physical cost.
Learn more about Math patterns.
Solution Approach
The solution is implemented in Python and follows a step-by-step logical approach to minimize fatigue when setting the microwave timer. Let's walk through the implementation strategy:
-
Defining The Helper Function (
f
): The heart of this solution is the helper functionf(m, s)
, which calculates the cost for a proposed minute (m
) and second (s
) combination. It assumes that non-valid minute or second values (like more than 99 minutes or seconds) return an infinite cost denoted byinf
. This prevents the use of invalid time formats. -
Converting Time Into Digits: Inside the helper function, we transform
m
ands
into an array of individual digits, starting from the most significant to the least significant. This is done by integer division and modulo to split each one into tens and ones. -
Cost Calculation Logic: After getting the digit array, we iterate from the start (ignoring leading zeros) and calculate the cost as follows:
- If the current digit is different from the previous one (
prev
), we have to move the finger, which incurs amoveCost
. - Regardless of whether we moved or not, we always incur a
pushCost
when pressing a digit. Theprev
variable is then updated to the current digit for the next iteration.
- If the current digit is different from the previous one (
-
Finding The Cost For Two Scenarios: We call the helper function
f
twice with:- The exact minutes (
m
) and seconds (s
) calculated fromtargetSeconds
. - The adjusted values where we subtract one minute and add 60 seconds to
s
(only if them
is greater than 0 since we can't have negative minutes).
- The exact minutes (
-
Algorithm Pattern: The pattern employed by this solution is essentially a brute-force check of the possible valid combinations (there are only two), and simply choosing the one that returns the least cost. This is quick due to the low number of total possible and valid combinations.
-
Data Structures: This solution relies on simple data structures: primarily an integer array to keep track of the digit-wise break down of the minute-second format required for setting the timer.
Example Scenario Execution:
If targetSeconds = 5500
, this translates to 91
minutes and 40
seconds, but since the microwave cannot display more than 99
seconds, we have to subtract one minute and add those 60 seconds making the time 90
minutes and 100
seconds. Then, we sequentially apply the helper function to both time formats and choose the least costly one.
// Insert calculated cost calculation steps here
From the implementation given; it is clear that the approach taken to solve the problem is both efficient and effective. It cleverly utilizes the simplicity of brute force in a scenario where analyzing all combinations is trivial, combined with a well-defined helper function to abstract out the cost-calculation logic.
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Start EvaluatorExample Walkthrough
Let's go through an example to illustrate the solution approach. Suppose that targetSeconds = 130
, startAt = 1
, moveCost = 2
, and pushCost = 1
. We want to find the minimum fatigue cost to set the microwave to cook for 130
seconds.
-
Convert
targetSeconds
to minutes and seconds.
130
seconds is equal to2
minutes and10
seconds since ( 130 = 2 \times 60 + 10 ). So our inputs to the helper function will bem = 2
ands = 10
. -
Use Helper Function
f(m, s)
.
Implementf(2, 10)
:- Convert to array of digits:
m = 2
becomes02
ands = 10
becomes10
for a complete array[0, 2, 1, 0]
. - Start at
1
, move to0
(start digit does not require push), move cost is2
. - Push
0
, push cost is1
(though first0
is not pushed as it's leading). - Move to
2
, move cost is2
. - Push
2
, push cost is1
. - Remaining are
1
and0
. Since1
is new, move and then push (2
move cost +1
push cost). - Since we're already at
1
, we only push0
which incurs only1
push cost. - The total minimum cost for
f(2, 10)
is ( 2 + 1 + 2 + 1 + 2 + 1 + 1 = 10 ).
- Convert to array of digits:
-
Consider the second scenario where we subtract a minute and add 60 seconds.
Sincem = 2
, it's possible to subtract one minute to get1
minute. Add 60 seconds to10
to get70
seconds. Now we inputf(1, 70)
:- Convert to array of digits:
m = 1
becomes01
ands = 70
becomes70
for a complete array[0, 1, 7, 0]
. - Start at
1
, move to0
(start digit does not require push), move cost is2
. - Push
0
, but since it's leading, we ignore this and move to1
. - Push
1
, push cost is1
. - Move to
7
, move cost is2
. - Push
7
, push cost is1
. - Push
0
, push cost is1
. - The total minimum cost for
f(1, 70)
is ( 2 + 1 + 2 + 1 + 1 = 7 ).
- Convert to array of digits:
-
Select the minimum of the two.
Now we simply select the minimum off(2, 10)
andf(1, 70)
, which in this case isf(1, 70)
so, the minimum fatigue cost is7
.
With this example, we see the solution finds the most efficient manner to set the required time on the microwave by converting the time and comparing the fatigue cost of two close time settings, thus ensuring the user expends the least amount of physical effort.
Solution Implementation
1class Solution:
2 def minCostSetTime(self, start_at: int, move_cost: int, push_cost: int, target_seconds: int) -> int:
3 # Define a function to calculate the cost based on minutes and seconds.
4 def calculate_cost(minutes: int, seconds: int) -> int:
5 # Check if minutes and seconds are within the obligatory range.
6 if not 0 <= minutes < 100 or not 0 <= seconds < 100:
7 return float('inf') # Use 'inf' to denote an impossible situation.
8
9 # List out the digits for minutes and seconds.
10 digits = [minutes // 10, minutes % 10, seconds // 10, seconds % 10]
11
12 # Skip leading zeros.
13 index = 0
14 while index < 4 and digits[index] == 0:
15 index += 1
16
17 # Initialize total cost and set the initial position for starting.
18 total_cost = 0
19 previous_digit = start_at
20
21 # Calculate the total cost considering the move and push costs.
22 for value in digits[index:]:
23 if value != previous_digit:
24 total_cost += move_cost # Add move cost if there is a change in digit.
25 total_cost += push_cost # Add push cost for every digit.
26 previous_digit = value # Update the previous digit.
27
28 return total_cost
29
30 # Convert total seconds to minutes and seconds.
31 minutes, seconds = divmod(target_seconds, 60)
32
33 # Calculate the cost of the two possible ways to enter the minutes and seconds.
34 answer = min(
35 calculate_cost(minutes, seconds),
36 calculate_cost(minutes - 1, seconds + 60)
37 )
38
39 # Return the minimum cost of the two possibilities.
40 return answer
41
1class Solution {
2 // Entry method to calculate the minimum cost to set time on a digital clock
3 public int minCostSetTime(int startAt, int moveCost, int pushCost, int targetSeconds) {
4 // Calculate the initial minutes and seconds based on targetSeconds
5 int minutes = targetSeconds / 60;
6 int seconds = targetSeconds % 60;
7
8 // Use the calculated minutes and seconds to find the cost, considering two scenarios:
9 // 1. Direct input
10 // 2. Subtracting a minute to possibly reduce the move cost and then adding 60 seconds
11 return Math.min(
12 calculateCost(minutes, seconds, startAt, moveCost, pushCost),
13 calculateCost(minutes - 1, seconds + 60, startAt, moveCost, pushCost)
14 );
15 }
16
17 // Helper method to calculate the cost of setting the time using number keypad
18 private int calculateCost(int minutes, int seconds, int prevDigit, int moveCost, int pushCost) {
19 // If minutes or seconds are out of range, return the maximum value as this is not a valid time
20 if (minutes < 0 || minutes > 99 || seconds < 0 || seconds > 99) {
21 return Integer.MAX_VALUE;
22 }
23
24 // Create an array representing the four digits of the time in MMSS format
25 int[] digits = new int[] {minutes / 10, minutes % 10, seconds / 10, seconds % 10};
26 int index = 0;
27
28 // Skip leading zeros in the time representation
29 while (index < 4 && digits[index] == 0) {
30 index++;
31 }
32
33 // Initialize the total cost to 0
34 int totalCost = 0;
35 // Calculate the cost digit by digit
36 for (; index < 4; ++index) {
37 // If the current digit is different from the previous, add the move cost
38 if (digits[index] != prevDigit) {
39 totalCost += moveCost;
40 }
41 // Add the push cost for the current digit
42 totalCost += pushCost;
43 // Update the previous digit to current for next iteration
44 prevDigit = digits[index];
45 }
46 return totalCost;
47 }
48}
49
1class Solution {
2public:
3 // Function to find the minimum cost to set the microwave to a target time.
4 int minCostSetTime(int startAt, int moveCost, int pushCost, int targetSeconds) {
5 // Maximum minutes on the microwave is 99, so calculate minutes and seconds accordingly.
6 int minutes = targetSeconds / 60;
7 int seconds = targetSeconds % 60;
8
9 // Calculate costs for two possible ways to enter the time.
10 // We can either input the exact minutes and seconds, or input one minute less
11 // and add 60 seconds (in case it yields a lower cost due to fewer button moves).
12 int costExactTime = calculateCost(minutes, seconds, startAt, moveCost, pushCost);
13 int costOneMinuteLess = calculateCost(minutes - 1, seconds + 60, startAt, moveCost, pushCost);
14
15 // Return the minimum of the two calculated costs.
16 return min(costExactTime, costOneMinuteLess);
17 }
18
19private:
20 // Function to calculate the cost of setting the given time on the microwave.
21 int calculateCost(int minutes, int seconds, int prevDigit, int moveCost, int pushCost) {
22 // If time is out of valid range, return maximum possible cost.
23 if (minutes < 0 || minutes > 99 || seconds < 0 || seconds > 99) return INT_MAX;
24
25 // Create a vector to store each digit of the minutes and seconds.
26 vector<int> digits = {minutes / 10, minutes % 10, seconds / 10, seconds % 10};
27
28 // Skip leading zeroes to start pushing buttons from the first non-zero digit.
29 int i = 0;
30 while (i < 4 && digits[i] == 0) {
31 ++i;
32 }
33
34 int totalCost = 0; // Total cost starts at 0.
35 // Calculate the total cost starting from the first non-zero digit.
36 for (; i < 4; ++i) {
37 // If the current digit is different from the previous one, add move cost.
38 if (digits[i] != prevDigit) totalCost += moveCost;
39 // Add push cost for every digit entered.
40 totalCost += pushCost;
41 // Set the current digit as the previous one for the next iteration.
42 prevDigit = digits[i];
43 }
44 return totalCost; // Return the total cost of the operation.
45 }
46};
47
1// Function to find the minimum cost to set the microwave to a target time.
2function minCostSetTime(startAt: number, moveCost: number, pushCost: number, targetSeconds: number): number {
3 // Calculate minutes and seconds from target seconds.
4 let minutes = Math.floor(targetSeconds / 60);
5 let seconds = targetSeconds % 60;
6
7 // Calculate costs for inputting the exact time or one minute less.
8 let costExactTime: number = calculateCost(minutes, seconds, startAt, moveCost, pushCost);
9 let costOneMinuteLess: number = calculateCost(minutes - 1, seconds + 60, startAt, moveCost, pushCost);
10
11 // Return the minimum of the two calculated costs.
12 return Math.min(costExactTime, costOneMinuteLess);
13}
14
15// Function to calculate the cost of setting a given time on the microwave.
16function calculateCost(minutes: number, seconds: number, prevDigit: number, moveCost: number, pushCost: number): number {
17 // Ensure time is in the valid range.
18 if (minutes < 0 || minutes > 99 || seconds < 0 || seconds > 99) return Number.MAX_SAFE_INTEGER;
19
20 // Store each digit of the minutes and seconds in an array.
21 let digits: number[] = [Math.floor(minutes / 10), minutes % 10, Math.floor(seconds / 10), seconds % 10];
22
23 // Find the first non-zero digit, skipping leading zeroes.
24 let i: number = 0;
25 while (i < digits.length && digits[i] === 0) {
26 i++;
27 }
28
29 let totalCost: number = 0;
30 // Calculate total cost from the first non-zero digit.
31 for (; i < digits.length; i++) {
32 // Add move cost if the current digit is different from the previous one.
33 if (digits[i] !== prevDigit) totalCost += moveCost;
34 // Add push cost for every digit entered.
35 totalCost += pushCost;
36 // Update prevDigit to the current one for the next iteration.
37 prevDigit = digits[i];
38 }
39
40 // Return the calculated total cost.
41 return totalCost;
42}
43
Time and Space Complexity
Time Complexity
The time complexity of the function is determined by the operations that it performs:
-
The function
f
is called exactly two times, regardless of the input size, so we can consider it a constant-time operation in the context of analyzing the overall function. Withinf
, most operations are simple arithmetic operations, conditions, and a loop which, in the worst case, iterates at most 4 times, as it's dealing with time in minutes and seconds. -
The cost computation within the loop runs a constant number of times, as mentioned, at most 4, since the digits for minutes and seconds each can be in the range [0, 99]. The condition and the arithmetic inside the loop are constant-time operations.
Hence, the time complexity of the f
function is O(1).
Since there are no other loops or recursive calls that depend on the size of the input in the main function and f
is called only twice, the time complexity of the minCostSetTime
function is also O(1).
Space Complexity
-
The
f
function uses a fixed amount of additional space: an arrayarr
of size 4 and a few integer variables to hold parameters and intermediate results. -
There is no dynamic data structure or additional memory usage that scales with the input size.
Therefore, the space complexity of the function is O(1).
Learn more about how to find time and space complexity quickly using problem constraints.
Which of the tree traversal order can be used to obtain elements in a binary search tree in sorted order?
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