The Milling Machine Problem at a Manufacturing Facility: A HackerRank Solution Explained
A milling machine in a manufacturing facility has a tool change system. The tool changer holds n tools and some duplicate tools may be included. The operator must move through the tools one at a time, either moving left or right. The tool changer is circular, so when the last tool in the tools array is reached in either direction, the next tool is at the other end of the array. Given the name of the next tool needed, determine the minimum number of left or right moves to reach it.
Example:
tools = ['ballendmill', 'keywaycutter, 'slotdrill, 'facemill']
startIndex = 1
target='ballendmill'
The tool currently in use is keywaycutter at index 1. The desired tool is ballendmill at index 0. It can be reached by moving right 3 steps or left 1 step. The minimum number of moves is 1.
Function Description
Complete the function toolchanger in the editor below.
toolchanger has the following parameter(s): Function Description Complete the function toolchanger in the editor below. toolchanger has the following parameter(s): str tools[n]: an array of tool names arranged in the order they appear in the tool changer int startIndex: index of the tool currently in use str target: name of the tool needed Returns: int: minimum number of moves required to reach the needed tool
Python Solution for the Milling Machine Problem
The task here is to find the minimum number of moves required to reach a specific tool, starting from any given position in the tool changer. If the last tool is reached in either direction, the next move will wrap around and land at the other end of the array, given its circular nature.
To illustrate, let's say we have the following tools: ['ballendmill', 'keywaycutter', 'slotdrill', 'facemill']
with a startIndex
of 1, representing the tool currently in use ('keywaycutter' in this case). If the target tool is 'ballendmill', we can reach it by either moving 1 step to the left or 3 steps to the right. Since our goal is to minimize the number of moves, we choose to move 1 step to the left.
Python Solution for the Milling Machine Problem
Let's take a look at the Python solution to this problem using the toolchanger
function. The function takes as input an array of tool names, the index of the tool currently in use, and the target tool's name. It returns the minimum number of moves required to reach the target tool.
def toolchanger(tools, startIndex, target):
target_indices = [i for i, tool in enumerate(tools) if tool == target]
distances = [min(abs(i - startIndex), len(tools) - abs(i - startIndex)) for i in target_indices]
return min(distances)
To understand how this solution works, consider the example:
tools = ['ballendmill', 'keywaycutter', 'slotdrill', 'facemill']
startIndex = 1
target = 'ballendmill'
print(toolchanger(tools, startIndex, target)) # Output: 1
The function first gets the indices of all instances of the target tool in the tools array. It then calculates the minimum distance from the current position to each instance of the target tool, considering the circular nature of the tool changer. Finally, it returns the smallest of these distances.
Keep in mind that this function assumes valid input: the target tool exists in the tools array and the startIndex is within the array bounds. If these are not guaranteed, additional error checking should be incorporated.
In conclusion, we hope this post provides a clear understanding of how to tackle the milling machine problem in Python. It not only shows Python's applicability in solving real-world manufacturing challenges, but also its power in providing efficient solutions. Happy programming!